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Fishery  Bulletin 


'ATES  O^  ^ 


Vol.  86,  No.  1 


Marine  Biological  Laboratory   ' 
LIBRARY 


JUL     6  1000 


Woods  Hole,  m^IS^^'^^^^QS 


oplank- 


1 
25 


LOEB,  VALERIE  J.,  and  OMAR  ROJAS.     Interannual  variation  of  ichthyopl 
ton  composition  and  abundance  relations  off  northern  Chile,  1964-85 

VETTER,  E.  F.     Estimation  of  natural  mortality  in  fish  stocks:  A  review   ... 

NOTARBARTOLO-DI-SCIARA,  GUISEPPE.  Natural  history  of  the  rays  on  the 
genus  Mobula  in  the  Gulf  of  California    45 

WILLIAMS,  AUSTIN  B.  Notes  on  decapod  and  euphausiid  crustaceans,  continen- 
tal margin,  western  Atlantic,  Georges  Bank  to  western  Florida,  USA  67 

WARLEN,  STANLEY  M.  Age  and  growth  of  larval  gulf  menhaden,  Brevoortia 
patronus ,  in  the  northern  Gulf  of  Mexico 77 

O'BRIEN,  LORETTA,  and  RALPH  K.  MAYO.  Sources  of  variation  in  catch  per 
unit  effort  of  yellowtail  flounder,  Limanda  ferruginea  (Storer),  harvested  off  the 
coast  of  New  England    91 

McEACHRON,  LAWRENCE  W.,  JEFF  F.  DOERZBACHER,  GARY  C.  MATLOCK, 
ALBERT  W.  GREEN,  and  GARY  E.  SAUL.  Reducing  the  bycatch  in  a  commer- 
cial trotline  fishery 109 

BRUCE,  B.  D.  Larval  development  of  blue  grenadier,  Macruronus  novaezelandiae 
(Hector),  in  Tasmanian  waters   119 

COWAN,  JAMES  H.,  JR.,  and  RICHARD  F.  SHAW.  The  distribution  abundance, 
and  transport  of  larval  sciaenids  collected  during  winter  and  early  spring  from  the 
continental  shelf  waters  off  west  Louisiana 129 

HAMNER,  WILLIAM  M.,  GREGORY  S.  STONE,  and  BRYAN  S.  OBST.  Behavior 
of  southern  right  whales,  Eubalaena  australis,  feeding  on  the  Antarctic  krill, 
Euphausia  superba  143 


Notes 


PENSON,  JOHN  B.,  JR.,  ERNEST  0.  TETTY,  and  WADE  L.  GRIFFIN.  An  econo- 
metric analysis  of  net  investment  in  Gulf  shrimp  fishing  vessels 151 

SHIRLEY,  SUSAN  M.,  and  THOMAS  C.  SHIRLEY.  Appendage  injury  in  Dunge- 
ness  crabs.  Cancer  magister,  in  southeastern  Alaska 156 


(Continued  on  back  cover) 


Seattle,  Washington 


U.S.  DEPARTMENT  OF  COMMERCE 
C.  William  Verity,  Jr.,  Secretary 

NATIONAL  OCEANIC  AND  ATMOSPHERIC  ADMINISTRATION 
William  E.  Evans,  Under  Secretary  for  Oceans  and  Atmosphere 

NATIONAL  MARINE  FISHERIES  SERVICE 


Fishery  Bulletin 

The  Fishery  Bulletin  carries  original  research  reports  and  technical  notes  on  investigations  in  fishery  science,  engineering,  and 
economics.  The  Bulletin  of  the  United  States  Fish  Commission  was  begun  in  1881;  it  became  the  Bulletin  of  the  Bureau  of  Fisheries 
in  1904  and  the  Fishery  Bulletin  of  the  Fish  and  Wildlife  Service  in  1941.  Separates  were  issued  as  documents  through  volume  46; 
the  last  document  was  No.  1103.  Beginning  with  volume  47  in  1931  and  continuing  through  volume  62  in  1963,  each  separate 
appeared  as  a  numbered  bulletin.  A  new  system  began  in  1963  with  volume  63  in  which  papers  are  bound  together  in  a  single  issue 
of  the  bulletin  instead  of  being  issued  individually.  Beginning  with  volume  70,  number  1,  January  1972,  the  Fishery  Bulletin  became 
a  periodical,  issued  quarterly.  In  this  form,  it  is  available  by  subscription  from  the  Superintendent  of  Documents,  U.S.  Government 
Printing  Office,  Washington,  DC  20402.  It  is  also  available  free  in  limited  numbers  to  libraries,  research  institutions.  State  and 
Federal  agencies,  and  in  exchange  for  other  scientific  publications. 


SCIENTIFIC  EDITOR,  Fishery  Bulletin 

Dr.  Andrew  E.  Dizon 

Southwest  Fisheries  Center  La  Jolla  Laboratory 

National  Marine  Fisheries  Service,  NOAA 

P.O.  Box  271 

La  Jolla,  CA  92038 


Editorial  Committee 


Dr.  Jay  Barlow 

National  Marine  Fisheries  Service 

Dr.  William  H.  Bayliff 

Inter-American  Tropical  Tuna  Commission 

Dr.  George  W.  Boehlert 

National  Marine  Fisheries  Service 


Dr.  Robert  C.  Francis 
University  of  Washington 

Dr.  James  R.  Kitchell 
University  of  Wisconsin 

Dr.  William  J.  Richards 
National  Marine  Fisheries  Service 


Dr.  Bruce  B.  CoUette 

National  Marine  Fisheries  Service 


Dr.  Tim  D.  Smith 

National  Marine  Fisheries  Service 


Mary  S.  Fukuyama,  Managing  Editor 


The  Fishery  Bulletin  (ISSN  0090-0656)  is  published  quarterly  by  the  Scientific  Publications  GfTice,  National  Marine  Fisheries  Service, 
NOAA,  7600  Sand  Point  Way  NE,  BIN  C15700,  Seattle,  WA  98115.  Second  class  postage  is  paid  in  Seattle,  Wash.,  and  additional 
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The  Secretary  of  Commerce  has  determined  that  the  publication  of  this  periodical  is  necessary  in  the  transaction  of  the  public  business 
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Fishery  Bulletin 

■  Marine  Biolomlil^Z^ 
CONTENTS  /  LIBRARY 

JUL   6  ma 

Vol.  86,  No.  1  I  January  1988 

LOEB,  VALERIE  J.,  and  OMAR  ROJAS.     Interannual  variation  oPrc'Sfhj^^k^k-Mass. 
ton  composition  and  abundance  relations  off  northern  Chile,  1964-85 

VETTER,  E.  F.     Estimation  of  natural  mortality  in  fish  stocks:  A  review   25 

NOTARBARTOLO-DI-SCIARA,  GUISEPPE.     Natural  history  of  the  rays  on  the 

genus  Mobula  in  the  Gulf  of  California    45 

WILLIAMS,  AUSTIN  B.  Notes  on  decapod  and  euphausiid  crustaceans,  continen- 
tal margin,  western  Atlantic,  Georges  Bank  to  western  Florida,  USA   67 

WARLEN,  STANLEY  M.  Age  and  growth  of  larval  gulf  menhaden,  Brevoortia 
patronus ,  in  the  northern  Gulf  of  Mexico 77 

O'BRIEN,  LORETTA,  and  RALPH  K.  MAYO.  Sources  of  variation  in  catch  per 
unit  effort  of  yellowtail  flounder,  Limanda  ferruginea  (Storer),  harvested  off  the 
coast  of  New  England    91 

McEACHRON,  LAWRENCE  W.,  JEFF  F.  DOERZBACHER,  GARY  C.  MATLOCK, 
ALBERT  W.  GREEN,  and  GARY  E.  SAUL.  Reducing  the  bycatch  in  a  commer- 
cial trotline  fishery 109 

BRUCE,  B.  D.     Larval  development  of  blue  grenadier,  Macruronus  nouaezelandiae 

(Hector),  in  Tasmanian  waters    119 

COWAN,  JAMES  H.,  JR.,  and  RICHARD  F.  SHAW.  The  distribution  abundance, 
and  transport  of  larval  sciaenids  collected  during  winter  and  early  spring  from  the 
continental  shelf  waters  off  west  Louisiana 129 

HAMNER,  WILLIAM  M.,  GREGORY  S.  STONE,  and  BRYAN  S.  OBST.  Behavior 
of  southern  right  whales,  Eubalaena  australis,  feeding  on  the  Antarctic  krill, 
Euphausia  superba  143 

Notes 

PENSON,  JOHN  B.,  JR.,  ERNEST  O.  TETTY,  and  WADE  L.  GRIFFIN.  An  econo- 
metric analysis  of  net  investment  in  Gulf  shrimp  fishing  vessels 151 

SHIRLEY,  SUSAN  M.,  and  THOMAS  C.  SHIRLEY.     Appendage  injury  in  Dunge- 

ness  crabs,  Cancer  magister,  in  southeastern  Alaska 156 

iContinued  on  next  page) 


Seattle,  Washington 

1988 

For  sale  by  the  Superintendent  of  Documents,  U.S.  Government  Printing  Office,  Washing- 
ton DC  20402— Subscription  price  per  year:  $16.00  domestic  and  $20.00  foreign.  Cost  per 
single  issue:  $9.00  domestic  and  $11.25  foreign. 


Contents — Continued 

CURRNES,  KENNETH  P.,  CARL  B.  SCHRECK,  and  HIRAM  W.  LI.  Reexamina- 
tion of  the  use  of  otolith  nuclear  dimensions  to  identify  juvenile  anadromous  and 
nonanadromous  rainbow  trout,  Salmo  gairdneri   160 

BUTLER,  JOHN  L.,  and  DARLENE  PICKETT.  Age-specific  vulnerability  of 
Pacific  sardine,  Sardinops  sagax,  larvae  to  predation  by  northern  anchovy,  En- 
graulis  mordax 163 

EPIFANIO,  CHARLES  E.,  DAVID  GOSHORN,  and  TIMOTHY  E.  TARGETT. 

Induction  of  spawning  in  the  weakfish,  Cynoscion  regalis    168 


The  National  Marine  Fisheries  Service  (NMFS)  does  not  approve,  recommend  or 
endorse  any  proprietary  product  or  proprietary  material  mentioned  in  this  publi- 
cation. No  reference  shall  be  made  to  NMFS,  or  to  this  publication  furnished  by 
NMFS,  in  any  advertising  or  sales  promotion  which  would  indicate  or  imply  that 
NMFS  approves,  recommends  or  endorses  any  proprietary  product  or  proprietary 
material  mentioned  herein,  or  which  has  as  its  purpose  an  intent  to  cause  directly 
or  indirectly  the  advertised  product  to  be  used  or  purchased  because  of  this  NMFS 
publication. 


AWARDS 


The  Publications  Advisory  Committee  of  the  National  Marine 
Fisheries  Service  has  announced  the  best  bublications  authored 
by  the  NMFS  scientists  and  published  in  the  Fishery  Bulletin  for 
1986  and  the  Marine  Fisheries  Review  for  1985.  only  effective 
and  interpretive  articles  which  significantly  contribute  to  the 
understanding  and  knowledge  of  NMFS  mission-related  studies 
are  eligible,  and  the  following  papers  were  judged  as  the  best 
In  meeting  this  requirement. 

Fishery  Bulletin  1986  —  Starvation-induced  mortalitv  of  young 
sea-caught  jack  mackerel,  Trachurussymmetrlcus,  determined 
with  histological  and  morphological  methods,  by  Gail  M. 
Theilacker.    Fish.  Bull.,  U.S.  84: 1-17.    Gail  M.  Theilacker  is  with  the 
Southwest  Fisheries  Center  La  Jolla  Laboratory  National  Marine 
Fisheries  Service,  NOAA,  La  Jolla,  CA. 

Marine  Fisheries  Review  1985  —  Biology  of  the  red  sea  urchin, 
Strongylocentrotus  franclscanus,  and  its  fishery  in  California,  by 
Susumu  Kato  and  Stephen  c.  schroeter.    Mar.  Fish.  Rev  47(3):i-20. 
Susumu  Kato  is  with  the  Southwest  Fisheries  center  Tiburon 
Laboratory  National  Marine  Fisheries  Service,  NOAA,  Tiburon,  CA, 
and  Stephen  C.  schroeter  is  with  the  Department  of  Biological 
Sciences,  university  of  California,  university  Park,  CA. 


INTERANNUAL  VARIATION  OF  ICHTHYOPLANKTON  COMPOSITION 
AND  ABUNDANCE  RELATIONS  OFF  NORTHERN  CHILE,  1964-83 


VaLKRIK  J   LOEB'  AND  OMAR  ROJAS^ 


ABSTRACT 


Larval  fishes  were  collected  off  of  northern  Chile  during  winter  (July-September)  ichthyoplankton 
surveys  undertaken  in  1964-70,  1972-73,  and  1983.  The  19-year  timespan  included  a  wide  variety 
of  hydrographic  conditions  in  the  Humboldt  Current  area  (cold  years.  El  Nino  events,  and  intervening 
transition  years);  it  also  included  the  decline  and  collapse  of  the  anchoveta  fisheries  and  increases  of 
sardine,  mackerel,  and  jack  mackerel  stocks  off  northern  Chile  and  Peru.  The  ichthyoplankton  data 
are  examined  in  relation  to  ambient  hydrographic  conditions  as  well  as  to  possible  chronological 
changes  in  environmental  conditions  which  led  to  the  increased  Chilean  sardine  stocks  and  anchoveta 
fishery  collapse. 

More  coherent  patterns  come  from  considerations  of  larval  fish  species  composition  in  1964-69  and 
1970-73  data  sets  than  from  years  of  "similar"  hydrographic  conditions.  A  marked  shift  in  relative 
abundances  of  nonfished  mesopelagic  species  in  1969-70  is  associated  with  changes  within  long-term 
physical  data  bases  from  Chile  and  Peru  suggesting  a  large-scale  environmental  change.  Sardine 
stock  growth  began  with  successful  larval  survival  of  1968-69  and  later  year  classes.  Anchoveta  stock 
decline  began  in  1972  probably  due  to  poor  larval  survival.  Affiliation  of  anchoveta  and  coastal 
species  larval  abundance  implies  that  they  are  similarly  influenced  by  coastal  processes.  An  atmos- 
pherically driven  oceanic  circulation  change  beginning  in  the  late  1960's  and  possibly  involving 
onshore  presence  of  subtropical  and  or  oceanic  waters  and  altered  coastal  processes  may  have  been 
responsible  for  the  changes  in  the  northern  Chilean  fish  assemblages. 


The  Humboldt  Current  region,  like  the  other 
major  eastern  boundary  current  systems  (Califor- 
nia, Benguela,  and  Canary  Currents)  is  domi- 
nated by  pelagic  schooling  fish  stocks  including 
anchoveta  (Engraulis),  sardine  iSardinops), 
hake  iMerluccius),  mackerel  (Scomber),  jack 
mackerel  (Trachurus),  and  bonita  iSarda)  (Par- 
rish  et  al.  1983).  These  fish  stocks,  like  those  in 
the  other  eastern  boundary  current  areas,  exhibit 
extreme  population  fiuctuations.  Most  notable  in 
the  past  30  years  are  the  collapses  of  Peruvian 
and  Chilean  anchoveta  stocks  in  the  mid-1970's 
and  their  succession  by  sardine  and,  to  a  lesser 
extent,  mackerel  and  jack  mackerel  stocks  (San- 
tander  and  Flores  1983;  Serra  1983). 

Hydrographic  complexity  and  variability  are 
characteristic  of  eastern  boundary  current  sys- 
tems. Included  in  the  Humboldt  Current  region 
are  equatorial,  subequatorial,  subantarctic,  and 
antarctic  oceanic  water  masses;  northward  flow- 
ing currents  and  opposing  countercurrents;  and 
wind  driven,  seasonally  variable  coastal  up- 
welling  (Wyrtki  1967).  Additionally,  the  region  is 


iMoss  Landing  Marine  Laboratories,  P.O.  Box  450,  Moss 
Landing,  CA  95039. 

2Instituto  de  Fomento  Pesquero,  Avenida  Pedro  de  Valdivia 
2633,  Casilla  1287,  Santiago,  Chile. 


subject  to  1)  large  seasonal  and  longer  period 
fluctuations  in  advection  of  water  masses  of 
markedly  different  properties  and  2)  large  in- 
terannual  differences  in  the  timing  and  intensity 
of  seasonal  upwelling  processes  (Bakun  1987; 
Bernal  et  al.  1983;  Parrish  et  al.  1983;  Robles  et 
al.  1976).  The  clearest  and  generally  considered 
most  important  of  the  nonseasonal  processes  in- 
fluencing the  biology  of  the  current  system  is  the 
El  Nino  phenomenon  (Bernal  et  al.  1983;  Guillen 
1983).  El  Nino  events  off  Peru  and  Chile  are 
marked  by  large-scale  atmospherically  driven 
southward  and  coastward  advection  of  warm, 
high-salinity  equatorial  and  subequatorial  sur- 
face waters,  weakening  of  coastal  upwelling  (or 
upwelling  of  warm  nutrient-poor  waters),  and 
weakening  of  subsequent  phytoplankton  blooms. 
These  El  Nino  or  warm-water  periods  are  vari- 
able in  their  intensity  and  duration  (Guillen 
1983;  Santander  and  Flores  1983).  In  contrast  to 
these  periods  are  more  "normal"  cold-water 
events  resulting  from  atmospherically  driven  in- 
tensification of  northward  flowing  cold,  low- 
salinity  subantarctic  waters  and  seasonal  up- 
welling of  cold,  nutrient-rich  water.  Major  El 
Nino  events  occurred  in  1891,  1925-26,  1940-41, 
1957-58,    1965,    1972-73,    1976,   and    1982-83; 


Manu.script  accepted  September  1987. 
FISHERY  BULLETIN:  VOL.  86,  NO.  1,  1988. 


FISHERY  HULLKTIN:  VOL  8(i,  NO    1 


major  cold  events  over  the  past  20  years  occurred 
in  1964,  1967-68, 1970-71,  and  1974-75  (Guillen 
1983). 

The  decline  and  ultimate  collapse  of  the  an- 
choveta  fisheries  of  Peru  began  in  1970  and  was 
finalized  by  the  intense  1972-73  El  Nino;  the 
northern  Chilean  stock  decline  started  in  1972 
and  was  finalized  by  1977.  Factors  facilitating 
these  declines  are  generally  believed  to  include 
overfishing  and  the  devastating  effects  of  the  El 
Nino  on  anchoveta  spawning  behavior  and  in- 
tensity as  well  as  on  subsequent  recruitment. 
Competition  and/or  predation  pressure  result- 
ing from  increasing  abundances  and  distributions 
of  sardine  and  mackerel  have  also  been  hy- 
pothesized (Santander  and  Flores  1983;  Serra 
1983). 

Because  of  the  great  socioeconomic  value  of  the 
dominant  pelagic  fish  species  of  the  Peru-Chile 
ecosystem,  their  population  fluctuations  have  re- 
ceived a  great  deal  of  attention  over  the  past  20 
years.  However,  coincidental  changes  in  the  com- 
position, abundance,  or  spawning  intensities  of 
other  commercially  less  important  and  non- 
harvested  species  have  not  been  examined.  Infor- 
mation on  the  changes  of  these  unfished  species 
in  relation  to  hydrographic  conditions  and  fluctu- 
ations of  the  dominant  pelagic  fish  stocks  provide 
additional  insight  into  the  ecology  of  the  Hum- 
boldt Current  and  may  elucidate  possible  causes 
for  the  dramatic  changes  which  occurred  during 
the  1970's. 

In  the  present  work  we  examine  the  abundance 
and  composition  of  total  ichthyoplankton  assem- 
blages collected  off  of  northern  Chile  (lat.  18°- 
24°S)  during  1964-73  and  1983  in  relation  to  am- 
bient hydrographic  conditions.  "Normal"  cold 
water  as  well  as  warm-water  and  El  Nino  events 
occurred  during  the  19-yr  sampling  span.  We  also 
examine  our  results  with  respect  to  possible 
chronological  change  in  environmental  condi- 
tions which  led  to  the  1977  anchoveta  fishery  col- 
lapse off  northern  Chile.  Our  results  may  be  ap- 
plicable for  interpreting  coincidental  changes 
in  the  Peruvian  ecosystem  and  may  also  be 
broadly  applicable  for  studies  of  similar  changes 
in  the  other  eastern  boundary  current  ecosys- 
tems. 

METHODS 

Samples  were  collected  during  1964-73  and 
1983  ichthyoplankton  surveys  conducted  by  the 
Instituto  de  Fomento  Pesquero.  The  area  most 


intensively  surveyed  was  a  narrow  coastal  strip 
extending  between  Arica  and  Antofagasta  (lat. 
18°-24°S,  long.  70°-72°W;  Fig.  1).  This  area  in- 
cludes one  of  two  major  anchoveta  (Engraulis  rin- 
gens )  spawning  grounds  off  Chile  and  the  pri- 
mary sardine  iSardinops  sagax)  spawning  area 
off  Chile  prior  to  1973  (Fig.  2A,  B).  All  samples 
used  for  interannual  comparisons  were  collected 
during  late  July-September  following  peak  win- 
ter anchoveta  and  sardine  spawning  periods.  Be- 
tween 21  and  87  samples  from  the  18°-24°S  area 
were  analyzed  for  each  of  11  cruises  (Table  1).  In 
one  case  data  from  two  cruises  (August  and  Sep- 
tember 1968)  were  pooled  to  provide  adequate 
coverage.  Sampling  was  done  annually  from  1964 
to  1970  and  in  1972  and  1973.  There  was  a  10-yr 
hiatus  before  regular  sampling  was  resumed  in 
1983. 

The  1964-73  samples  were  collected  with 
Hensen  nets  (0.28  m^  mouth  opening;  300  ixm 
mesh).  Prior  to  1973  the  vertical  net  hauls  were 
50-0  m;  in  1973  haul  depth  was  increased  to  100 
m.  The  1983  100-0  m  vertical  hauls  were  made 
with  WP2  nets  (0.25  m^  mouth  opening; 
UNESCO  1968)  of  300  ^JLm  mesh.  Samples  were 
preserved  using  buffered  5%  formalin  solution. 
Sea  surface  temperature  and  salinity  data  were 
collected  at  most  sampling  stations  for  all  but  two 
winter  cruises;  these  data  are  lacking  for  1970 
and  salinity  data  are  minimal  for  1967. 

All  fish  eggs  and  larvae  were  removed  from 
samples,  and  invertebrate  zooplankton  biomass 
was  measured.  Wet  weight  displacement  volume 
was  measured  for  1964-73  samples;  in  1983  the 
Yashnov  (1959)  technique  modified  by  Robertson 
(1970)  was  used.  A  calculated  correction  factor 
of  1.44  (±3.34)  was  applied  to  the  1983  biomass 
values  to  permit  comparison  with  the  earlier 
data. 

All  fish  larvae  were  identified  to  lowest  taxon 
possible  and  counted.  We  herein  treat  the  larvae 
of  six  commercially  important  species  (anchoveta 
[Engraulis  ringens],  Pacific  sardine  [Sardinops 
sagax],  jack  mackerel  [Trachurus  murphyi;  also 
known  as  T.  symmetricus  in  U.S.A.],  chub  mack- 
erel [Scomber  japonicus].  South  Pacific  men- 
haden [Ethmidium  maculatum],  and  hake  [Mer- 
luccius  gayi])  separately  from  the  other  35 
identified  taxa.  These  six  species  are  referred  to 
as  the  "PL"  (larvae  of  pelagic  schooling  species). 
The  other  larval  taxa  considered  together  are  the 
"OL".  The  PL  and  OL  categories  are  treated  sepa- 
rately because  abundances  of  the  PL  (especially  of 
anchoveta  and  sardine)  mask  abundance  rela- 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 

90°  75°  60° 


45< 


z 
< 

UJ 

u 
o 


< 
a. 


15 


-    30' 


45' 


60' 


Figure  1. — Ichthyoplankton  study  area  between  Arica  and  Antofagasta,  Chile  (18°-24°S),  1964-83. 


tions  of  the  OL.  The  OL  are  further  separated  into 
myctophid,  "other  mesopelagic"  and  "coastal" 
fractions. 

Ichthyoplankton  abundances  are  expressed  as 
numbers  per  10  m^  sea  surface.  Flow  meters  were 
not  used  with  the  vertical  Hensen  net  hauls; 
numbers  of  larvae  caught  in  each  tow  are  multi- 


plied by  30  to  provide  numbers  per  10  m^  esti- 
mates. A  flow  meter  used  with  WP2  nets  provided 
water  volume  measurements  and  more  accurate 
abundance  estimates.  Based  on  these  measure- 
ments the  conversion  factor  applied  to  Hensen  net 
catches  appears  to  be  reasonable:  water  volumes 
filtered  by  100-0  m  vertical  WP2  net  hauls  aver- 


76* 


74° 

"I T" 


COQUIMBO 


VALPARAISO 


FALC  AHUANO 


VALDIVIA 


PTO    MONTT 


_ai aJl_ 


18 


20 


22 


24' 


26  ° 


28  ° 


30° 


32 


34' 


36' 


38' 


-    40' 


42< 


44' 


FISHKKY  lUlI.I.KTIN:  VOl.  Hfi.  NO    1 

72°  70° 

I  8  ° 

S 

-     20  ° 

22  o 


-24 


26 


-28 


-     30 


-     32 


-     34 


-     36 


-38 


-     40' 


-     42 


44 


Figure  2. — Spawning  areas  of  (A)  anchoveta  iEngraiilis  ringens)  and  (Bi  sardine  tSardinops  sagax)  off  Chile  based  on  egg 

abundances  during  July-September  ichthyoplankton  surveys,  1964-73. 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COiMPOSITION  AND  ABUNDANCE 

Table  1. — Cruises  yielding  samples  used  for  examination  of  ichthyoplankton  abundance  and  composition  variations 
oft  northern  Chile  Only  samples  from  1 8  -24  S  are  used  for  interannual  comparisons.  Data  from  two  1 968  cruises  are 
combined;  data  from  cruise  71(4)69CD  are  used  for  analysis  of  sampling  depth-related  catch  differ- 
ences. N  =  number  of  samples  used  in  ichthyoplankton  analyses  Tow  types:  H  =  Hensen  net;  WP2  =  WP2  net; 
V  =  vertical. 


Year 

Cruise 

Dates 

Location 

N 

Tow 

Type 

Depth 
(m) 

1964 

06(3)64GE 

16  08-23  09 

18  20', 

,  23  38'S 

70  ir. 

,  71  50'W 

68 

H 

V 

0-50 

1965 

13(3)65CD 

15  08-09  09 

18  20' 

,  23  50'S 

70  00', 

,  72  08'W 

76 

H 

V 

0-50 

1966 

25{3)66CD 

21  08-31  09 

18  28' 

,  23  52'S 

7016' 

,  72  16'W 

72 

H 

V 

0-50 

1967 

37(3)67CD 

17  08-1009 

18  25', 

,  23  45'S 

70  05' 

,  71  38'W 

59 

H 

V 

0-50 

1968 

47(3)68NO 

25  08 

18  28' 

,  23  OO'S 

70  05' 

,  70  58'W 

37 

H 

V 

0-50 

49(3)68NO 

29  09 

18=26' 

,  23  01'S 

70  11' 

,  70  59'W 

41 

H 

V 

0-50 

1969 

70(3)69NO 

23  08-25  08 

18^29' 

,  23  01'S 

70  09' 

,  71   10'W 

35 

H 

V 

0-50 

71(4)69CD 
71(4)69CD 

03  12-17  12 
03  12-17  12 

28  29' 
28  29' 

,  38  OO'S 
,  38  OO'S 

71  22' 
71  22' 

,  73  55'W 
,  73  55'W 

43 
39 

H 
H 

V 
V 

0-100 
0-50 

1970 

86(3)70NO 

25  09-26  09 

19°27' 

,  21  58'S 

70  14' 

,  71  03'W 

21 

H 

V 

0-50 

1972 

109(3)72NO 

04  09-15  09 

18 '29' 

,  22^58 'S 

70 '10' 

,  71  25'W 

87 

H 

V 

0-50 

1973 

130(3)73CP 

28  07-08  08 

18  17' 

,  23  OS'S 

7005' 

,  72  20'W 

42 

H 

V 

0-100 

1983 

277(3)83CP 

07  08-15  09 

18°33' 

.  23  48'S 

70  09' 

,  71  38'W 

38 

WP2 

V 

0-100 

aged  28.3  m'^  yielding  a  raw  count  to  numbers  per 
10  m'-  conversion  factor  of  35;  this  179f  increase  in 
conversion  factor  is  associated  with  a  12*7^  de- 
crease in  mouth  opening  of  WP2  vs.  Hensen  nets. 
Larval  fish  diversity  is  expressed  as  total  num- 
bers of  taxa  per  sampling  period  and  mean  num- 
bers of  taxa  per  tow. 

Various  parametric  and  nonparametric  tests 
were  used  for  statistical  analyses.  Differences  in 
mean  abundances  are  tested  with  2-tailed  Z  tests 
and  Mann  Whitney  U  tests  (Dixon  and  Massey 
1969;  Conover  19711.  Similarity  of  abundance 
ranks  within  data  sets  are  tested  with  Kendall's 
concordance  iW)  test  (Tate  and  Clelland  1969) 
and  Spearman's  rho  (p)  correlation  test  (Conover 
1971).  Significant  values  resulting  from  these 
tests  are  indicated,  but  due  to  multiple  testing 
these  values  should  be  used  only  as  indicators  of 
the  relative  strengths  of  relationships.  Percent 
similarity  indices  (PSI;  Whittaker  1975)  are  used 
for  comparisons  of  species  percentage  composi- 
tion. Because  PSIs  are  strongly  influenced  by 
abundant  species,  we  apply  these  tests  to  the  OL 
fraction  as  well  as  to  total  larvae.  We  define  as 
"high"  all  PSI  values  >80,  as  "moderate"  PSI's 
>65  and  <80,  and  as  "low"  values  <65. 


SAMPLING  CONSIDERATIONS 

Sampling  Depth  Differences 

The  100  m  sampling  depths  in  1973  and  1983 
potentially  effect  direct  comparisons  of  abun- 
dance estimates  and  species  composition  in  these 
vs.  earlier  data  sets  owing  to  individual  species' 
depth  distributions.  Evaluation  of  depth-related 
sampling  differences  is  possible  through  a  com- 
parison of  data  obtained  from  coincidental  50-0 
m  and  100-0  m  Hensen  net  samples  taken  during 
December  1969  at  28°-38"S  (Table  1).  These  data 
indicate  that  abundance  estimates  and  percent- 
age contribution  of  the  PL  to  total  larvae  were 
higher  in  50  m  tows  while  those  of  the  OL  were 
higher  in  100  m  tows  (Table  2).  Four  of  five  PL 
species  caught  were  more  abundant  and  frequent 
in  the  50  m  samples.  The  greatest  differences 
were  for  Trachurus  murphyi,  which  was  5x  more 
abundant  and  3.6 x  more  frequent,  and  Merluc- 
cius  gayi ,  which  was  present  only  in  50  m  sam- 
ples. Abundance  estimates  were  higher  for  11  of 
16  OL  taxa  in  100  m  tows  although,  with  a  few 
exceptions,  catch  frequencies  were  similar.  The 
greatest  difference  was  for  Triphoturus  mexi- 


FISHERY  BULLETIN:  VOL  86,  NO.  1 

Table  2. — Catch  comparisons  of  50-0  m  and  100-0  m  Hensen  net  tows  taken  at  lat.  28  -38  S,  long.  71  -74'W  during 
3-17  December  1969.  Abundances  expressed  as  mean  and  standard  deviations  of  numbers  per  10  m2,  F  =  percent 
frequency  of  occurrence  in  samples  Depth-related  catch  differences  are  shown  as  ratios  of  50:100  m  abundance 
estimates,  species  percentage  contribution  to  total  identified  larvae,  PL  and  OL  percentage  contribution  to  total  larvae,  and 
taxonomic  diversity  (mean  numbers  per  tow  and  total  numbers  of  taxa).  N  =  number  of  samples.  PL  =  larvae  of  pelagic 
species;  OL  =  other  larval  taxa. 


50- 

-0  m 

100- 

■0  m 

(N 

=  43) 

(/V  = 

39) 

Taxon 

X 

(S) 

F 

% 

X 

(S) 

F 

% 

Ratio 

Engraulis  ringens 

34.2 

(122.8) 

23.2 

13.42 

22.3 

69.4) 

15.4 

7.23 

1.53 

Clupea  bentincki 

6.3 

(  28  2) 

9.3 

2.47 

1.5 

6.7) 

5.1 

0.49 

4.20 

Ethmidium  maculatum 

0.7 

(     4.6) 

2.3 

0.27 

0.8 

4.8) 

2.6 

0.26 

0.88 

Merluccius  gayi 

1.4 

(     6.4) 

46 

0.55 

Trachurus  murphyi 

4.2 

(   14.0) 

9.3 

1.65 

0.8 

4.8) 

2.6 

0.26 

5.25 

Total  PL 

46.8 

(131.1) 

34.9 

1836 

25.4 

71.0) 

23  1 

8.24 

1.84 

Bathylagus  nlgngenys 

0.7 

(     4.6) 

2.3 

0.27 

0.8 

4.8) 

2.6 

0.26 

0.88 

Vinciguerria  lucetia 

10.5 

(   33.9) 

14.0 

4.12 

16.9 

75.6) 

7.7 

5.48 

0.62 

Diogenlchthys  spp. 

31.4 

(107.0) 

20.9 

12.32 

37.7 

79.9) 

28.2 

12.22 

0.83 

Hygophum  bruuni 

121.4 

(238.2) 

58.1 

47.64 

166.2 

291.0) 

53.8 

53.86 

0.73 

Protomyctophum  sp. 

3.1 

9.2) 

10.3 

1.00 

Diaphus  sp. 

77 

(   18.6) 

18.6 

3.02 

9.2 

24.0) 

17.9 

2.98 

0.84 

Lampanyctus  parvicauda 

7.7 

(   18.6) 

163 

3.02 

6.9 

21.2) 

15.4 

2.24 

1.12 

Lampanyctus  sp. 

1.4 

{     6.4) 

4.6 

0.55 

1.5 

6.7) 

5.1 

0.49 

0.93 

Triphoturus  mexicanus 

7.7 

(  21.8) 

14.0 

3.02 

18.5 

57.4) 

20.5 

5.99 

0.42 

Scopelosaurus  sp. 

0.8 

4.8) 

2.6 

0.26 

Normanichthys  crockeri 

15.3 

(  38.9) 

18.6 

6.00 

20.0 

66.5) 

10.3 

6.48 

0.76 

Sebastes  sp. 

1.4 

(     9.1) 

2.3 

0.55 

0.8 

4.8) 

2.6 

0.26 

1.75 

Blennild  A 

0.7 

(     4.6) 

2.3 

0.27 

Blenniid  D 

0.7 

(     4.6) 

2.3 

0.27 

0.8 

4.8) 

2.6 

0.26 

0.88 

Bothid 

0.7 

(     4.6) 

2.3 

0.27 

Unid.  2 

0.7 

(     4.6) 

2.3 

0.27 

Small  damaged  myctophids 

4.8 

9.2 

Other  unidentified 

13.2 

7.0 

Total  OL 

226.0 

(316.0) 

86.0 

81.59 

299.4 

405.9) 

82.0 

91.78 

0.84 

Total  larvae 

272.8 

(340.7) 

324.8 

400.0) 

0.84 

No.  taxa/tow 

2.5 

(     2.0) 

2.2 

2.0) 

1.13 

Total  no.  taxa 

18 

17 

0.94 

canus  which  was  2.4  x  more  abundant  and  1.5  x 
more  frequent  in  100  m  tows.  Because  of  the  large 
catch  variability,  none  of  the  species  abundance 
differences  nor  the  abundance  differences  of  the 
PL,  OL,  and  total  larvae  are  significant  (Z  tests, 
P's  all  >0.10).  Additionally,  species  abundances 
within  all  positive  tows  from  the  two  sampling 
depths  are  not  significantly  different  (Mann 
Whitney  U  tests,  P  >  0.10  in  all  cases). 

The  overall  species  composition  of  50  and  100  m 
tows  was  similar.  Despite  greater  proportions  of 
PL  in  50  m  tows,  the  PSI  value  from  comparisons 
of  total  species  lists  was  high  (87.7).  Species  per- 
centage contribution  within  the  OL  fraction  of  the 
two  tow  types  was  also  quite  similar  (94.5).  Spe- 
cies abundance  rankings  within  the  two  total  lar- 
val data  sets  are  significantly  correlated 
(p  =  +0.80;  P  <  0.01 ).  Species  diversity  estimates 
(total  numbers  of  taxa  and  mean  numbers  of  taxa 
per  tow)  are  also  similar. 

From  these  comparisons  it  is  apparent  that  the 


PL  predominantly  occur  within  the  upper  50  m. 
Similar  shallow  (e.g.,  <50  m  )  distributions  have 
been  described  for  dominant  PL  species  off  of  Peru 
(anchoveta,  sardine,  and  hake;  Sameoto  1982). 
The  generally  lower  100  m  abundance  estimates 
of  these  species  is  puzzling,  but  suggests  possi- 
bly shorter  sampling  time  and/or  less  efficient 
sampling  within  the  upper  50  m  of  these  tows. 
Higher  catch  frequency  and  abundance  of  T. 
mexicanus  in  100  m  tows  suggest  that  large  pro- 
portions (e.g.,  30-60%)  of  these  larvae  are  at  50- 
100  m. 

As  a  result  of  these  catch  differences  we  suggest 
caution  in  making  direct  numerical  comparisons 
between  the  1973  and  1983  vs.  earlier  data  sets. 
Although  the  overall  compositions  and  abun- 
dance relations  should  not  be  markedly  altered, 
some  accommodation  should  be  allowed  for  the 
percentage  contributions  and  across-year  abun- 
dance ranks  of  PL  species  (especially  Trachurus) 
and  Triphoturus  mexicanus. 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 


Net  Type  Differences 

There  are  no  data  available  for  a  direct  evalua- 
tion of  catch  differences  between  the  vertical 
Hensen  and  WP2  net  tows.  However,  comparisons 
of  data  from  the  1983  WP2  net  hauls  (Table  3)  do 
not  indicate  that  this  net  is  more  or  less  efficient 
than  the  Hensen  net.  Mean  abundances  and  spe- 
cies diversity  (total  numbers  of  taxa  and  mean 
numbers  of  taxa  per  tow)  are  within  the  ranges  of 
values  from  Hensen  net  tows. 


Day-Night  Catchi  Considerations 

Day  and  night  sample  data  have  been  combined 
for  each  cruise.  Day  samples  (0600  -1800  hours) 
outnumbered  (generally  55-64%)  night  samples 
during  all  cruises.  In  nine  cases  there  were  non- 
significant day-night  larval  catch  differences  (Z 
tests,  P  >0.05)  and  overall  similarity  in  night: 
day  catch  ratios  (0.74-1.8:1;  mode  =  1.2:1).  One 
cruise  had  a  significantly  higher  night  vs.  day 
catch  (2.5 X;  P  <  0.01);  this  cruise  and  one  with 


Table  3. — Abundance  estimates  and  diversity  of  larval  fishes  and  abundance  estimates  of  zooplankton  collected  in  July-September 
samples  off  northern  Chile  (18  -24-S),  1964-83^  Larval  fish  abundances  as  mean  numbers  per  10  m^.  PL  =  larvae  of  commercially 
important  pelagic  species;  OL  =  other  larval  taxa  (myctophid,  other  mesopelagic,  and  other  categories).  Number  of  larvae  is  total  raw  count 
of  identified  larvae  for  each  sampling  period.  Larval  fish  diversity  expressed  as  total  number  of  identified  taxa  and  mean  number  of  taxa 
per  tow.  Zooplankton  abundance  is  mean  displacement  volume  (cc/10  m2).  N.A.  =  data  not  available. 


Mean  abundance  for 

Taxon 

1964 

1965 

1966 

1967 

1968 

1969 

1970 

1972 

1973 

1983 

Engraulis  ringens 

302.0 

36.7 

3,478.3 

224.7 

72.3 

181.7 

620.0 

1,634.1 

1,816.4 

— 

Sardinops  sagax 

5.3 

5.1 

12.5 

4.6 

21.1 

24.9 

1.4 

327.2 

52.1 

594.9 

Ethmidium  maculatum 

— 

— 

— 

— 

— 

2.6 

— 

0.7 

— 

— 

Trachurus  murphyi 

2.6 

7.1 

10.8 

3.1 

0.4 

6.8 

5.7 

100.3 

2.1 

— 

Scomber  japonicus 

— 

0.4 

— 

— 

— 

— 

— 

25.9 

— 

— 

Merlucaus  gayi 

— 

— 

— 

— 

— 

— 

— 

— 

0.7 

2.6 

Total  PL 

309.9 

49.3 

3,501.6 

232.4 

93.8 

216.0 

627.1 

2,088.2 

1,871.3 

597.5 

Bathylagus  nigrigenys 

4.0 

5.1 

6.7 

9.7 

6.2 

0.9 

7.2 

56.6 

35.0 

31.5 

Vinciguema  lucetia 

3.1 

0.4 

2.9 

6.1 

3.1 

2.6 

21.4 

54.8 

18.6 

3.7 

Stemoptyx  diaphana 

— 

— 

— 

— 

— 

— 

— 

0.7 

0.7 

1.0 

Chaultodus  sp. 

— 

— 

— 

— 

— 

— 

— 

0.3 

— 

— 

Stomias  spp. 

— 

— 

— 

— 

— 

— 

— 

— 

— 

1.9 

Lestidiops  pacificum 

— 

— 

— 

— 

— 

— 

— 

0.3 

0.7 

— 

Melamphaes  sp. 

— 

— 

— 

0.5 

0.4 

— 

— 

0.3 

2.1 

— 

Beryciform 

— 

— 

— 

— 

— 

— 

1.4 

— 

— 

— 

Other  mesopelagics 

7.1 

5.5 

9.6 

16.3 

9.7 

3.5 

30.0 

113.0 

57.1 

38.1 

Diogenichthys  spp. 

6.2 

18.9 

14.6 

30.5 

7.3 

14.6 

21.4 

59.3 

39.3 

114.2 

Hygophum  bruuni 

— 

2.8 

1.2 

3.6 

— 

— 

— 

— 

— 

0.9 

Hygophum  atratum 

— 

— 

— 

— 

— 

— 

— 

— 

— 

6.7 

Metelectrona  ventralis 

— 

— 

— 

— 

— 

— 

— 

— 

■ — 

0.9 

Myctophum  nitidulum 

0.4 

— 

0.4 

— 

0.4 

0.9 

— 

4.8 

4.3 

4.6 

Diaphus  sp. 

— 

0.4 

0.4 

— 

— 

— 

1.4 

0.3 

— 

4.5 

Lampanyctus  parvicauda 

41.0 

32.0 

65.8 

63.0 

10.8 

38.6 

5.7 

29.7 

12.1 

15.5 

Lampanyctus  spp. 

— 

— 

0.8 

— 

1.1 

— 

— 

— 

0.7 

— 

Triphoturus  mexicanus 

31.8 

15.8 

20.8 

29.0 

4.6 

31.7 

11.4 

19.7 

23.6 

33.6 

fvlyctophids 

79.4 

69.9 

104.0 

126.1 

24.2 

85.8 

39.9 

113.8 

80.0 

180.9 

Normanichtys  crockeri 

17.2 

1.5 

281.2 

5.6 

2.3 

26.6 

10.0 

2.4 

31.4 

— 

Sebastes  sp. 

0.4 

— 

2.5 

1.0 

0.8 

— 

— 

— 

0.7 

— 

Gadiform  D 

— 

— 

0.8 

— 

— 

— 

— 

— 

— 

— 

Macrourid  A 

— 

— 

— 

0.5 

— 

— 

— 

— 

0.7 

— 

Macrourid  C 

— 

— 

— 

0.5 

— 

— 

— 

— 

— 

— 

Blenniid  A 

0.4 

— 

0.8 

— 

1.2 

— 

— 

— 

1.4 

— 

Blenniid  B 

— 

— 

0.4 

— 

— 

— 

— 

— 

— 

— 

Blenniid  C 

— 

— 

— 

1.5 

— 

— 

— 

0.3 

— 

— 

Blenniid  D 

5.3 

0.4 

16.7 

7.1 

4.2 

2.6 

— 

2.8 

8.6 

1.0 

Gobiesocid  A 

0.4 

— 

0.8 

— 

— 

— 

— 

1.0 

0.7 

— 

Gobiesocid  B 

— 

— 

— 

— 

0.4 

— 

— 

— 

— 

— 

Unid.  1 

— 

— 

— 

— 

0.8 

^ 

— 

— 

5.7 

8.6 

Unid.  2 

— 

— 

0.4 

— 

— 

— 

— 

0.3 

12.1 

— 

Unid.  3 

— 

— 

— 

— 

0.4 

1.7 

— 

0.3 

0.7 

— 

Unid  4 

— 

— 

— 

— 

— 

— 

— 

0.3 

0.7 

— 

Ophidiid 

— 

— 

— 

1.0 

0.8 

— 

— 

— 

— 

— 

Hippoglossina  sp. 

— 

— 

— 

— 

— 

— 

— 

0.3 

— 

— 

Other  larvae 

23.7 

1.9 

303.6 

17.2 

10.9 

30.9 

10.0 

7.7 

62.7 

9.6 

Total  OL 

110.2 

77.3 

417.2 

159.6 

44.8 

120.2 

79.9 

234.5 

199.8 

228.4 

FISHERY  BULLETIN:  VOL.  86,  NO   1 


Table  3. — Continued. 


Mean  abundance  for 

Taxon 

1964 

1965 

1966 

1967 

1968 

1969 

1970 

1972 

1973 

1983 

Larval  fish  abundance  and  di 

iversity 

Total  ID  PL 

309.9 

493 

3,501  6 

2324 

938 

216.0 

627  1 

2,0882 

1,871  3 

597.5 

Total  ID  OL 

110.2 

77,3 

417.2 

159  6 

448 

120.2 

799 

234  5 

1998 

2286 

Total  ID  larvae 

420.1 

126.6 

3,9188 

3920 

138.6 

336.2 

707.0 

2,322.7 

2,071.1 

826  1 

Unid  missing  OL 

10.2 

4.4 

170 

220 

3.4 

11.9 

7.2 

104.5 

57.2 

76.6 

Total  larvae 

430.3 

131.0 

3.9358 

4140 

142.0 

348.1 

714.2 

2,427.2 

2,1283 

9027 

Number  of  larvae 

953 

321 

9,406 

771 

360 

650 

495 

6,738 

2,900 

893 

Number  of  taxa 

15 

14 

20 

19 

20 

13 

12 

26 

25 

19 

Number  of  taxa  tow 

22 

16 

32 

25 

1.4 

1.9 

23 

5.3 

4  1 

3.7 

Number  of  samples 

68 

76 

72 

59 

78 

35 

21 

87 

42 

38 

Zooplankton  abundance 

333.9 

2422 

406.5 

370.8 

279.2 

141.0 

N.A 

301  7 

100.6 

168.7 

Number  of  samples 

85 

124 

72 

59 

78 

35 

110 

42 

30 

a  1.8:1  night:day  catch  ratio  were  represented 
by  fairly  equal  day  {55-5T/( )  and  night  sam- 
ples. 

TAXONOMIC  PROBLEMS 

The  576  samples  used  for  interannual  compari- 
sons yielded  a  total  of  41  taxa  including  19  spe- 
cies, 7  genera,  and  11  higher  taxa  (Table  4).  The 
PL  and  most  mesopelagic  forms  were  identified  to 
species.  During  several  cruises  there  were  large 
proportions  of  small  Diogenichthys  spp.  (Myc- 
tophidae)  larvae  which  could  not  be  identified  to 
species.  As  a  consequence,  data  on  the  two  spe- 
cies, D.  atlanticus  and  D.  laternatiis,  were  lumped 
to  permit  reasonable  between-year  taxonomic 
composition  comparisons.  In  all  but  one  cruise,  D. 
laternatiis  dominated  (77-1007f )  the  identifiable 
Diogenichthys  larvae.  Total  within-year  Dio- 
genichthys spp.  abundances  were  multiplied  by 
proportions  of  identified  D.  laternatus  and  D.  at- 
lanticus larvae  to  provide  between-year  abun- 
dance rankings  for  each  species. 

Species  identifications  of  coastal  forms  are  lim- 
ited by  inadequate  taxonomic  information  and  by 
the  presence  of  generally  early  larval  develop- 
mental stages  in  samples.  These  larvae  are  pri- 
marily classified  at  familial  and  ordinal  levels. 
Because  the  classifications  include  few  multispe- 
cies  groupings  and  those  were  numerically  rare 
the  taxonomic  limitations  offer  no  severe  analyti- 
cal problems. 

Largest  taxonomic  problems  occurred  in 
cruises  when  large  numbers  of  small  unidentifi- 
able larvae  were  caught  (e.g.,  1972  and  1983; 
Table  3).  Additionally,  most  cruises  had  "miss- 
ing" larvae  (e.g.,  "other  larvae"  enumerated  when 
the  samples  were  first  processed  but  not  ac- 
counted for  during  later  species  identification 


work).  With  the  exception  of  1983  the  uniden- 
tified and  missing  larvae  made  up  <5%  of  the 
total  larval  abundance  for  each  sampling  pe- 
riod. 


RESULTS 

Overall  Ichthyoplankton  Composition 

The  576  July-September  samples  used  for  in- 
terannual comparisons  yielded  a  total  of  23,487 
identified  larvae.  These  larvae  were  dominated 
(85.17r)  by  PL  species  (Table  4).  Overall  domi- 
nants were  anchoveta  (Engraulis  ringens;  74.37c) 
and  sardine  (Sardinops  sagax;  9.3%).  The  other 
PL  species  were  relatively  rare:  Trachurus  mur- 
phyi  contributed  1.2%  and  Scomber  japonicus, 
Merluccius  gayi ,  and  Ethmidium  maculatum  to- 
gether formed  0.3%  of  the  total.  The  larval  abun- 
dances of  these  species  off  of  Chile  are  strongly 
influenced  by  sampling  time  and  location.  Mer- 
luccius gayi  occurs  primarily  to  the  south  of  the 
study  area  (24°-43°S)  and  Scomber  japonicus  and 
Trachurus  murphyi  have  later  summer  (Novem- 
ber-February) spawning  peaks. 

The  OL  were  dominated  by  mesopelagic  fishes 
(18  taxa,  10.6%  of  total  larvae).  Myctophids  were 
most  abundant  (8.0%)  primarily  because  of  the 
large  numbers  of  Diogenichthys  spp.,  Lampanyc- 
tus  parvicouda ,  and  Triphoturus  mexicanus, 
which  together  made  up  7.7%  of  the  total.  One 
bathylagid  (Bathylagus  nigrigenys)  and  one 
gonostomatid  (Vinciguerria  lucetia  )  were  also  rel- 
atively abundant  (together  2.5%).  Coastal  fish 
larvae  (14  taxa)  made  up  4.2%  of  the  total;  a 
scorpaeniform  (Normanichthys  crockeri;  3.4%) 
and  blenniid  (Blenniid  D;  0.4%)  dominated  this 
group. 

Eighteen  taxa  were  relatively  frequent  (e.g.,  in 


8 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 


>50%  of  cruises)  and/or  abundant  across  the  10 
sampling  periods  (Table  4).  These  taxa  (four  PL 
species,  seven  myctophid  taxa,  two  other  meso- 
pelagic  species,  and  five  coastal  forms)  made  up 
99.69;  of  the  identified  larvae;  they  also  con- 
tributed 97-1009r  of  the  identified  larvae  (91.2- 
99.6%  of  total  larvae)  and  included  the  top  9-12 
ranked  taxa  within  each  sampling  period  (Table 
5). 


Table  4— Ichthyoplankton  species  collected  in  July-September 
samples  oft  northiern  Chile  (18  -24  S,  70  -72  W),  1964-83.  Rela- 
tive abundance  (ROA)  and  percentage  composition  based  on 
summed  cruise  mean  abundances  (no.  10  m2)  of  all  identified 
forms.  Frequency  is  number  of  total  10  sampling  periods  when 
taxon  was  caught.  Categories  are  PL  (commercially  important 
pelagic  species)  and  other  taxonomic  components  (M  =  myc- 
tophids:  OM  =  other  mesopelagic  taxa;  C  =  coastal  forms). 


Fre- 

Cate- 

Taxon 

ROA 

% 

quency 

gory 

Engraulis  ringens 

1 

74.29 

9 

PL 

Sardinops  sagax 

2 

9.33 

10 

PL 

Normanichthys  crockerl 

3 

3.36 

9 

C 

Diogenichthys  latema- 

tus  +  D.  atlanticus 

4 

2.90 

10 

M 

Lampanyctus  parvicauda 

5 

2.79 

10 

M 

Tnphoturus  mexicanus 

6 

1.97 

10 

M 

Bathylagus  nigngenys 

7 

1.44 

10 

OM 

Trachurus  murphyi 

8 

1.23 

9 

PL 

Vinciguerna  lucetia 

9 

1.04 

10 

OM 

Blenniid  D 

10 

0.43 

9 

C 

Scomber  japonicus 

11 

023 

2 

PL 

Myctophum  nttidulum 

12 

0  14 

7 

M 

Unid.  1 

13 

0.13 

3 

C 

Unid.  2 

14 

0.11 

3 

C 

Hygophum  bruuni 

15 

0.075 

4 

M 

Diaphus  sp. 

16 

0.062 

5 

M 

Hygophum  atratum 

17 

0.060 

1 

M 

Sebastes  sp. 

18 

0050 

5 

C 

Blenniid  A 

19 

0.034 

4 

C 

Ethmidium  macu latum 

20.5 

0030 

1 

PL 

Merluccius  gayi 

20.5 

0.030 

2 

PL 

Unid.  3 

22 

0028 

4 

C 

Melamphaes  sp 

235 

0.026 

3 

OM 

Gobiesocid  A 

23.5 

0026 

4 

C 

Lampanyctus  spp. 

25 

0024 

3 

M 

Sternoptyx  diaphana 

26 

0,020 

3 

OM 

Stomias  spp. 

27 

0.017 

1 

OM 

Blenniid  C 

285 

0016 

2 

C 

Ophidiid 

285 

0016 

2 

C 

Beryciform 

30 

0.012 

1 

OM 

Macrourid  A 

31 

0011 

2 

Lestidiops  pacificum 

32.5 

0.009 

2 

OM 

Unid.  4 

32.5 

0.009 

2 

C 

Metelectrona  ventralis 

34 

0.008 

1 

M 

Gadiform  D 

35 

0.007 

1 

Macround  C 

36 

0,004 

1 

Blenniid  B 

37.5 

0.0036 

1 

C 

Gobiesocid  B 

37.5 

0.0036 

1 

C 

Chaultodus  sp. 

39.5 

0.0030 

1 

OM 

Htppoglossina  sp. 

39.5 

0.0030 

1 

C 

Total  number  of  identified  larvae: 

23,487 

Total  number  of  samples: 

576 

Total  number  of  taxa: 

41 

INTERANNUAL  VARIATIONS  IN 
ABUNDANCE  AND  COMPOSITION 

The  ichthyoplankton  demonstrated  extreme  in- 
terannual  variations  in  abundance  and  composi- 
tion (Tables  3,  5;  Fig.  3A,  B).  Most  obvious  are  the 
1)  total  larval  and  PL  abundance  peaks  of  1966, 
1972,  and  1973  and  2)  shift  from  anchoveta  to 
sardine  dominance  between  1973  and  1983.  The 
maximum  total  larval  abundance  values  in  1966, 

1972,  and  1973  were  2.4-30  x  higher  than  those 
of  other  years;  the  PL  had  3-71  x  higher  abun- 
dances during  these  vs.  other  years.  Interannual 
abundance  variations  during  the  seven  years  of 
lower  abundance  were  also  large  for  total  larvae 
(to  6.9 X  )  and  the  PL  (to  12.7 x ).  Anchoveta  domi- 
nated the  ichthyoplankton  through  1973  (29.0- 
88.8% )  and  was  directly  responsible  for  the  ex- 
treme abundance  variations;  anchoveta  were 
absent  from  the  1983  samples,  and  sardine  larvae 
(72.0%)  contributed  to  the  moderately  high  total 
larval  and  PL  abundances  (Table  5). 

The  OL  fraction  had  less  extreme  abundance 
variations  than  the  PL:  maximum  1966,  1972, 

1973,  and  1983  mean  abundance  values  ranged 
from  1.4  to  9x  those  of  the  other  years;  mean 
values  within  the  six  years  of  lower  abundance 
varied  to  3.8  x.  Unlike  the  PL,  OL  abundance 
fluctuations  were  not  attributed  to  any  one  taxo- 
nomic component  (Fig.  3B):  the  1966  peak  was 
largely  due  to  coastal  taxa  (73%  of  OL);  myc- 
tophids  and  other  mesopelagic  taxa  equally  domi- 
nated the  1972  peak  (48%);  myctophids  domi- 
nated (79%)  in  1983;  and  all  three  components 
were  relatively  abundant  (29-40%)  in  1973.  Myc- 
tophids were  generally  the  dominant  component 
(50-90%  )  during  the  six  years  of  lower  OL  abun- 
dance. Abundance  fluctuations  (as  range  of  mean 
abundance  values)  across  the  10  years  were  less 
extreme  for  myctophids  (8.1  x )  than  for  the  other 
mesopelagic  taxa  (32.3 x)  and  coastal  forms 
(160x). 

In  contrast  to  the  ichthyoplankton,  July-Sep- 
tember zooplankton  biomass  values  were  rela- 
tively constant  between  years  and  exhibited  only 
a  4x  range  in  values  (Table  3). 

Despite  large  between-year  variability  in  rela- 
tive proportions  of  the  PL  and  OL,  there  is  a  sig- 
nificant agreement  of  their  ranked  mean  abun- 
dances across  the  10  years  (p  =  +0.81,  P  <  0.01). 
There  is  also  a  general  agreement  of  the  ranked 
mean  abundances  of  PL  and  the  three  OL  compo- 
nents across  the  10  years  (W  =  0.44;  P  =  0.05). 
These  categories  were  generally  more  abundant 


9 


FISHERY  BULLETIN:  VOL.  86,  NO   1 

Table  5. — Comparisons  of  relative  abundances  of  dominant  larval  fish  taxa  collected  off  of  northern  Chile  (18- 
24°S,  70°-72  W)  during  July-September  sampling  periods,  1964-83.  Relative  abundances  within  each  year  are 
presented  as  (A)  percentage  contribution  to  total  identified  larvae  and  (B)  ranked  abundance.  Taxa  are  listed  in 
order  of  total  summed  10-yr  mean  abundances 


Taxon 

1964 

1965 

1966 

1967 

1968 

1969 

1970 

1972 

1973 

1983 

A.   Percentage  contribution  to  total  identified 

larvae 

Engraulis  nngens 

71.89 

28.99 

88.76 

57.32 

52  20 

54.05 

87.69 

70  35 

87.70 

— 

Sardinops  sagax 

1.26 

4.03 

0.32 

1.17 

15  23 

7.41 

0.20 

14.09 

2.52 

72.01 

Normanichthys  crocken 

409 

1.18 

718 

1.43 

1.66 

7.91 

1.41 

0.10 

1.52 

— 

Diogenichthys  spp. 

1.48 

14.93 

0.37 

7.78 

5.27 

4.34 

303 

2.55 

1.90 

13.82 

Lampanyctus  pan/icauda 

9.76 

25.28 

1.68 

16.07 

7.80 

11.48 

0.81 

1.28 

058 

1  88 

Tnphoturus  mexicanus 

7.57 

12.48 

0.53 

7.40 

332 

9.43 

1  61 

085 

1.14 

4.07 

Bathylagus  nigrigenys 

095 

4.03 

0.17 

2.47 

4.48 

027 

1.02 

244 

1.69 

381 

Trachurus  murphyi 

0.62 

5.61 

0.28 

0.79 

0.29 

2.02 

0.81 

4.32 

0.10 

— 

Vinciguerna  lucetia 

0.74 

0.32 

0.07 

1.56 

2.24 

0.77 

3.03 

2.36 

0.90 

0.45 

Blenniid  D 

1.26 

0.32 

0.43 

1.81 

3.03 

0.77 

— 

0.12 

0.42 

012 

Scomber  japonicus 

— 

0.32 

— 

— 

— 

— 

— 

1.12 

— 

— 

Myctophum  nitidulum 

0.10 

— 

0.01 

— 

0.29 

0.27 

— 

0.21 

0.21 

0.56 

Unid.  1 

— 

— 

— 

— 

0.56 

— 

— 

— 

0.27 

0.96 

Unid.  2 

— 

— 

0.01 

— 

• — 

— 

— 

0.01 

0.57 

— 

Hygophum  bruuni 

— 

2.21 

0.03 

0.92 

— 

— 

— 

— 

— 

0.11 

Diaphus  sp. 

— 

0.32 

0.01 

— 

— 

— 

0.20 

0.01 

— 

0.54 

Hygophum  atratum 

— 

— 

— 

— 

— 

— 

— 

— 

— 

0.81 

Sebastes  sp. 

0.10 

— 

0.06 

0.26 

0.58 

— 

— 

— 

0.03 

— 

Other  taxa 

0.19 

— 

0.09 

1.02 

3.03 

1.28 

0.20 

0.19 

0.43 

0.78 

B.  Ranked  within-year  abundance 

Engraulis  nngens 

1 

1 

1 

1 

1 

1 

1 

1 

1 

— 

Sardinops  sagax 

6.5 

6.5 

7 

9 

2 

5 

10 

2 

2 

1 

Normanichthys  crocken 

4 

9 

2 

8 

9 

4 

5 

12 

5 

— 

Diogenichthys  spp. 

5 

3 

6 

3 

4 

6 

2.5 

4 

3 

2 

Lampanyctus  parvicauda 

2 

2 

3 

2 

3 

2 

7.5 

7 

8.5 

5 

Triphoturus  mexicanus 

3 

4 

4 

4 

6 

3 

4 

9 

6 

3 

Bathylagus  nigrigenys 

8 

6.5 

9 

5 

5 

12.5 

6 

5 

4 

4 

Trachurus  murphyi 

10 

5 

8 

11 

17 

7 

7.5 

3 

13.5 

— 

Vinciguerria  lucetia 

9 

11.5 

10 

7 

8 

9 

2.5 

6 

7 

10 

Blenniid  D 

6.5 

11.5 

5 

6 

7 

9 

— 

11 

10 

13.5 

Scomber  japonicus 

— 

11.5 

— 

— 

— 

— 

— 

8 

— 

— 

Myctophum  nitidulum 

12.5 

— 

18.5 

— 

17 

12.5 

— 

10 

12 

8 

Unid.  1 

— 

— 

— 

^ 

12.5 

— 

— 

— 

11 

6 

Unid.  2 

— 

— 

18.5 

— 

■ — 

— 

— 

20.5 

8.5 

— 

Hygophum  bruuni 

— 

8 

12 

10 

— 

— 

— 

— 

— 

15.5 

Diaphus  sp. 

— 

11.5 

18.5 

— 

— 

— 

10 

20.5 

— 

9 

Hygophum  atratum 

— 

— 

— 

— 

— 

— 

— 

— 

— 

7 

Sebastes  sp. 

12.5 

— 

11 

13.5 

14 

— 

— 

— 

21 

— 

in  1966,  1972,  and  1973  and  relatively  rare  in 
1965  and  1968.  The  ranked  abundance  patterns  of 
each  of  the  components  differ  from  one  another 
(e.g.,  all  pairwise  correlation  coefficients 
[p  =  —0.21  to  +0.61]  are  nonsignificant).  Larval 
diversity  is  strongly  correlated  with  total  larval 
abundance  (p  =  +0.88,  P  <  0.01). 

There  are  no  significant  correlations  between 
abundance  ranks  of  invertebrate  zooplankton 
biomass  and  total  larvae  (p  =  +0.27)  or  any  of  the 
larval  categories  (p  =  -0.03  to  +0.22;  P  >  0.05  in 
all  cases). 

Species  Abundance  Variations 
and  Relations 

The  top  10  ranking  larval  fish  taxa  were  caught 


during  at  least  9  of  the  10  sampling  periods  (Table 
4).  All  of  these  taxa  exhibited  large  interannual 
abundance  fluctuations  (Table  3).  Most  marked 
were  the  abundance  changes  of  anchoveta,  sar- 
dine, and  coastal  species  Normanichthys  crockeri. 
This  latter  species  (rank  3  in  overall  abundance) 
was  frequently  abundant  prior  to  1983;  like  an- 
choveta it  was  absent  from  1983  samples.  Among 
the  10  taxa  only  Triphoturus  mexicanus  had 
<10x  changes  in  mean  abundance  values;  <20x 
changes  occurred  for  Lampanyctus  parvicauda 
(11.5X)  and  Diogenichthys  spp.  (18.4x);  all  other 
taxa  had  >20x  mean  abundance  changes  over 
the  10  years.  The  abundance  fluctuations  of  these 
10  taxa  are  primarily  responsible  for  the  interan- 
nual abundance  and  composition  variations 
(Table  5;  Fig.  3A,  B). 


10 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMI'OSITION  AND  AHUNDANCE 

A.    TOTAL    ICHTHYOPLANKTON 


E 
O 


a. 


t     :1    Anchoveta 
Other    PL 
I      I    Sordine 
■    OL 


B. 


OL      CATEGORIES 


II    Other  mesopeiogic  toxo 
M  yctophids 
Coastal  toxa 


*j>\ij 


83 


Figure  3. — Mean  abundance  (numbers  per  10  m2)  of  (A)  total  ichthyoplankton  and  major  PL  components  and 
(Bl  total  OL  and  major  OL  components  collected  off  northern  Chile  (18'-24°S)  during  July-September  sampling 
periods,  1964-83. 


Between-year  comparisons  of  the  species  per- 
centage compositions  of  total  larvae  give  a  wide 
range  of  PSI  values  (3.3-95.0;  Table  6A)  which 
primarily  reflect  similarity  in  percentages  of  an- 
choveta; 51%  of  these  values  are  moderate  to  high 
(e.g.,  >65).  Highest  values  (91.5-95.0)  come  from 
comparisons  between  1966,  1970,  and  1973  when 
anchoveta  contributed  >87%  of  the  larvae.  High 


values  (80.7-82.5)  also  result  from  comparisons 
between  1964,  1967,  and  1969  and  result  from 
moderate  anchoveta  abundance  (54.0-71.9%)  and 
relatively  similar  proportions  of  other  taxa.  Low- 
est values  (3.3-31.0)  result  from  comparisons  of 
1983  vs.  all  other  years  and  reflect  the  absence  of 
anchoveta  larvae  in  1983  samples.  The  1973  and 
1983  PSI  values  are  little  affected  (e.g.,  <2.3)  by 


11 


FISHERY  BULLETIN:  VOL.  86,  NO   1 


Table  6. — Between-year  percent  similarity  index  (PS!)  values  from  compari- 
sons of  (A)  total  larvae  and  (B)  \he  OL  (ottier  larval  taxa)  fraction  collected 
during  July-September  sampling  periods  off  northern  Cfiile  (18-24  S),  1964- 
83. 


PS!  values  for 

1965 

1966 

1967 

1968 

1969 

1970 

1972 

1973 

1983 

A.  Total  larvae 

1964 

52.44 

79.94 

8222 

71.25 

80.70 

79.70 

77.89 

80.30 

10.30 

1965 

X 

33.95 

67.41 

55.54 

62.38 

38.16 

45.32 

38.74 

28.47 

1966 

X 

62.69 

57.83 

65.08 

91.55 

73.65 

91  88 

3.32 

1967 

X 

77.96 

8247 

67.75 

68.21 

66.82 

18.05 

1968 

X 

79.39 

62.81 

76.39 

63.68 

30.95 

1969 

X 

62.95 

69.67 

63.50 

18.80 

1970 

X 

79.06 

94.95 

7.31 

1972 

X 

79  42 

22.02 

1973 

X 

8.95 

B.  OL  fraction 

1964 

69.88 

47.01 

75.76 

57.56 

85.16 

45.99 

36.08 

51.29 

33.15 

1965 

X 

29  22 

88.07 

60  36 

68.42 

55.43 

54.30 

47.13 

54.39 

1966 

X 

34.96 

3678 

50.09 

30  53 

26  15 

37  50 

18.48 

1967 

X 

70.21 

71.01 

53.92 

52.55 

55.68 

49.12 

1968 

X 

58.46 

54.85 

61.57 

67  92 

51.92 

1969 

X 

48.98 

39.22 

51  92 

37.18 

1970 

X 

74.35 

68.40 

60.21 

1972 

X 

66  23 

58.74 

1973 

X 

58.61 

accommodations  for  possible  sampling  depth- 
catch  differences  of  Trachurus gayi  and  Triphotu- 
rus  mexicanus. 

When  the  PL  are  excluded,  comparisons  be- 
tween the  OL  taxa  yield  generally  lower  PSI  val- 
ues than  those  of  the  total  larvae;  only  2¥7(  of  the 
18.5-88.1  values  are  moderate  to  high  (Table  6B). 
Moderate  to  high  values  (69.9-88.1)  come  from 
comparisons  between  1964,  1965,  1967,  and  1969, 
and  in  part  result  from  similar  proportions  of 
Lampanyctus  parvicauda  (32.1-41.4%)  and  Tri- 
photurus  mexicanus  (18.2—28.99^)  during  those 
years.  Moderate  values  (66.2-74.4)  also  come 
from  comparisons  of  1967  vs.  1968  and  1969  (sim- 
ilar proportions  of  L.  parvicauda,  T.  mexicanus, 
and  Diogenichthys  [12.2-39.5%!);  1970  vs.  1972 
(similar  proportions  of  Vinciguerria  lucetia  and 
Diogenichthys  [23.4-26.8%!);  and  1972  vs.  1973 
(similar  proportions  of  Bathylagus  nigrigenys,  V. 
lucetia,  and  Diogenichthys  [9.3-25.3%!).  Lowest 
PSI  values  (<30)  result  from  comparisons  of  1966 
vs.  1965,  1970,  1972,  and  1983,  and  are  due 
largely  to  extreme  dominance  by  Normanichthys 
crockeri  (67.4%  of  OL)  in  1966.  Recalculations  to 
accommodate  for  possible  depth-related  increased 
catches  of  T.  mexicanus  in  most  cases  decrease 
1973  and  1983  PSI  values  (e.g.,  by  2.6-7.2)  and  in 
two  cases  (1968  and  1970  vs.  1973)  change  the 
value  characterization  from  moderate  (67.9  and 
68.4)  to  low  (63.8  and  64.5).  With  one  exception 


(1972  vs.  1973,  PSI  =  67.0) 
justed  values  are  low. 


all  of  the  other  ad- 


Species  Across-Year  Ranked 
Abundance  Patterns 

Individual  species  across-year  abundance  rank- 
ings demonstrate  a  variety  of  patterns.  Three  pat- 
terns are  shared  by  nine  of  the  more  frequently 
occurring  taxa  (Table  7).  These  involve  1)  a 
group  formed  by  anchoveta  and  three  coastal 
forms;  2)  a  group  formed  by  one  myctophid  and 
two  other  mesopelagic  species;  and  3)  a  species 
pair  consisting  of  sardine  and  a  myctophid.  An- 
other species  pair  (two  myctophids)  can  be  formed 
if  the  1973  and  1983  abundances  of  T.  mexicanus 
are  adjusted. 

Group  I  includes  anchoveta,  Normanichthys 
crockeri,  Blenniid  D,  and  Sebastes  sp.  (Table  7). 
There  is  a  significant  concordance  among  these 
species  as  to  years  of  highest  (1966  and  1973)  and 
lowest  (1965  and  1983)  abundance  (W  =  0.69, 
P  <  0.01).  The  abundance  rankings  of  anchoveta 
and  A'^.  crockeri  (p  =  +0.79)  and  of  Blenniid  D  and 
Sebastes  (p  =  +0.88)  are  significantly  correlated 
(P  <  0.01).  None  of  the  correlations  between  spe- 
cies of  the  two  pairs  are  significant  due  to  differ- 
ences in  1967-68  vs.  1970-72  relative  abun- 
dances. 

The  three  Group  II  species,  Diogenichthys  later- 


12 


LOEB  and  RO.I.XS   ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 


notus.  Bathylagus  nigrigenya ,  and  Vinciguerna 
lucetia,  have  a  concordance  of  higher  abundances 
in  1972,  1973,  and  1983  vs.  other  years  (W  =  0.81, 
P<0.01).  The  abundance  rankings  of  B.  ni- 
grigenys  are  strongly  correlated  with  those  of  D. 
laternatus  and  V.  lucetia  (p  =  +0.82,  P  <  0.01  in 
both  cases);  the  correlation  between  D.  laternatus 
and  V .  lucetia  is  not  significant. 

The  abundance  rankings  of  sardine  and  Mycto- 
phum  nitidulum  (Pair  I  species)  are  significantly 
correlated  (p  =  +0.96,  P<0.01);  both  species 
were  rare  or  absent  in  1970  and  most  abundant  in 
1972,  1973,  and  1983. 

With  adjustment  to  1973  and  1983  abundances 
of  T.  mexicanus,  its  abundance  rankings  are 
strongly  correlated  with  those  of  Lampanyctus 
parvicauda  (Pair  II  species;  p  =  +0.84,  P  <  0.01). 
Highest  relative  abundances  of  both  species  were 
in  1964,  1966,  1967,  and  1969. 

Three  relatively  frequent  species  iTrachurus 
murphyi,  Diogenichthys  atlanticus ,  and  Diaphus 


sp.)  do  not  conform  to  any  of  the  above  patterns. 
If  the  1973  Trachurus  abundance  is  adjusted  to 
accommodate  for  possible  undersampling,  its 
abundance  pattern  is  similar  to  that  of  anchoveta 
(p  =  +0.68,  P  =  0.05)  but  not  to  any  of  the  other 
Group  I  species  (p  =  +0.03  to  +0.46). 

VARIATIONS  IN  ABUNDANCE  AND 

COMPOSITION  RELATIVE  TO 

HYDROGRAPHIC  CONDITIONS 

Ichthyoplankton  abundances  in  the  10  years 
sampled  show  no  consistent  patterns  relative  to 
warm  water-cold  water  events  (Table  8).  High  PL 
and  OL  abundances  occurred  during  strong  El 
Nino  events  (1972  and  1983)  and  during  cold  or 
transition  years  immediately  following  El  Nihos 
(1966  and  1973).  Lowest  abundances  of  both  frac- 
tions were  associated  with  the  1965  El  Nino  and 
warm  1968.  Neither  the  PL  nor  OL  have  signifi- 
cant correlations  with  ranked  (high  to  low)  July- 


Table  7. — Larval  fish  taxa  grouped  according  to  similar  across-year  (1964-83)  ranked  abundance  patterns. 
Significant  agreement  of  group  rankings  indicated  by  Kendall's  concordance  {W)  values.  Correlations  between 
species  pair  rankings  indicated  by  Spearman's  rhio  (p)  values.  Significant  values  at  P  £  0.05  are  indicated,  but 
note  use  of  multiple  testing.  "  =  abundance  ranks  adjusted  to  accommodate  for  possible  sampling  deptti 
related  catch  differences  (Table  2). 


Abundance  rank  foi 

r 

Species 

1964 

196£ 

.       1966 

1967 

1968 

1969 

1970 

1972 

1973 

1983 

Group  1 

Engraulis  nngens 
Normanichthys  crocken 
Blenniid  D 

5 
4 
4 

9 
9 
9 

1 
1 
1 

6 
6 
3 

8 
8 
5 

7 
3 

7 

4 

5 

10 

3 

7 
6 

2 
2 
2 

10 

10 

8 

Sebastes  sp. 

5 

8 

1 

2 

3 

8 

8 

8 

4 

8 

E  nngens-N-  crocken 
Blenniid  D-Sebastes  sp, 
E  nngens- Blenniid  D 
E-  nngens-Sebastes  sp. 
N.  croc/(en -Blenniid  D 

W  = 
P  = 
P  = 
P  = 
P  = 
P  = 

0.69  (P 
+  0.79  (P 
+  0.88  (P 
+0.59 
+0.44 
+  0.61 

o  o  o 

V    II    V 

N.  crocken-Sebastes  sp. 

P  = 

+  0.48 

Group  II 

Diogenichthys  laternatus 
Bathylagus  nigngenys 
Vinciguerna  lucetia 

10 
9 
6.5 

5 

8 

10 

7.5 

6 

8 

4 
4 
4 

9 
7 
6.5 

7.5 
10 
9 

6 
5 
2 

2 

1 
1 

3 
2 
3 

1 
3 
5 

B  nigngenys-D.  laternatus 
B  nigrigenys-V.  lucetia 
D.  laternatus-V  lucetia 

W  = 
P  = 
P  = 
P  = 

0.81  (P 
+  0.82  (P 
+  0.82  (P 
+  0.52 

<0.01) 
<0.01) 
<  0.01) 

Pair  1 

Sardinops  sagax 
Myctophum  nitidulum 

7 
6 

8 
9 

6 
6 

9 
9 

5 
6 

4 
4 

10 
9 

2 

1 

3 
3 

1 
2 

S  sagax-M.  nitidulum 

P  = 

+  0.96  (P<0.01) 

Pair  II 

Lanpanyctus  parvicauda 
Tnphoturus  mexicanus ' ' 

3 

1 

5 
6 

1 
4 

2 

3 

9 
10 

4 
2 

10 
8 

6 
5 

8 
9 

7 
7 

L.  parvicauda-T.  mexicanus" 

P  = 

+  0.84  (P 

<0.01) 

13 


FISHERY  BULLETIN   VOL  H6,  NO   1 

Table  8. — Range,  mean,  standard  deviation  and  ranked  (high  to  low)  values  of  sea 
ichthyoplankton  sampling  periods,  1964-83.  N  =  number  of  observations.  N.A.  ^  data  not 
(1976),  Bernal  et  al.  (1982),  and  Kelly  and  Blanco  (1983). 


1964 

1965 

1966 

1967 

1968 

Temperature  (°C) 
N 

85 

128 

72 

55 

81 

Range 

13.5-17.9 

13.6-18.1 

13.7-17.1 

13.3-16.0 

14.3-18.6 

X 

15.7 

16.5 

15.3 

14.8 

16.5 

(S) 

(1.0) 

(1.0) 

(0.8) 

(0.8) 

(0.9) 

Rank 

7 

3.5 

8 

9 

3.5 

Salinity  (%o) 
N 

84 

124 

72 

4 

81 

Range 

34.51-34.99 

34.80-35.40 

34.53-35.03 

34.74-34.82 

34.69-35.23 

X 

34.74 

35.06 

34.83 

34.78 

34.92 

(S) 

(0.12) 

(0.12) 

(0.11) 

(0.04) 

(0.12) 

Rank 

9 

2 

6 

8 

4 

Hydrographic 
condition: 

Cold 

El  Nino 

Transition 

Cold 

Warm 

September  mean  temperature  and  salinity  val- 
ues; larval  diversity  (mean  number  of  taxa/tow) 
also  shows  no  correlation  with  these  values 
(Table  9).  Within  the  PL,  anchoveta  were  most 
abundant  during  years  immediately  following  El 
Nihos  (cold  1966,  transition  1973),  the  1972  El 
Nirio,  and  cold  1970;  lowest  abundances  were  dur- 
ing the  1965  and  1983  El  Nihos  (Table  8).  There 
are  no  significant  correlations  between  ranked 
anchoveta  abundances  and  ranked  values  of  tem- 
perature or  salinity  (Table  10).  Sardine  larvae 
were  most  abundant  during  and  after  the  1972  El 
Niiio;  prior  to  this  moderate  abundances  and  rela- 
tively large  percentage  contributions  to  the 
ichthyoplankton  occurred  only  during  the  warm 
1968-69  period  (Tables  5,  7).  Lowest  sardine 
abundances  were  during  cold  years  1964,  1967, 
and  1970  and  the  1965  El  Nino.  Despite  low  abun- 
dances during  the  1965  El  Nino,  there  is  a  signif- 
icant positive  correlation  between  ranked  sardine 
abundance  and  temperature  (p  =  +0.69,  P 
<  0.05).  Ranked  larval  anchoveta  and  sardine 
abundances  are  not  correlated  (p  =  -0.07). 

The  only  apparent  warm-cold  year  abundance 
pattern  among  the  OL  categories  is  that  of  the 
coastal  taxa;  this  group  had  lowest  abundances 
during  the  1965,  1972,  and  1983  El  Nihos  and 
highest  abundances  in  subsequent  1966  and  1973 
transition  years.  The  ranked  abundance  pattern 
of  this  category  has  negative  correlations 
(P  <  0.05)  with  ranked  temperature  (p  =  -0.69) 
and  salinity  (p  =  -0.68)  values  (Table  9).  Both 
the  myctophid  and  other  mesopelagic  categories 
appear  to  have  abundance  patterns  unrelated  to 
warm-cold  hydrographic  conditions  (Table  9). 


Table  9. — Correlations  of  across-year  abundance  ranks  of 
zooplankton  and  ichthyoplankton  categories  with  ranked  (high  to 
low)  mean  temperature  and  salinity  values  from  nine  July-Septem- 
ber sampling  periods  off  northern  Chile,  1964-83.  Correlations 
based  on  Spearman's  rho  tests.  Significant  values  at  P  s  0.05  are 
indicated,  but  note  use  of  multiple  testing.  PL  =  larvae  of  pelagic 
species;  OL  =  other  larval  taxa. 


Temperature 

Salinity 

(^■C) 

(%o) 

Zooplankton 

-0.48 

-0.37 

PL 

-0.10 

-0.17 

OL 

-0.02 

+  0.05 

Larval  diversity: 

(mean  no.  taxa/tow) 

+  0.12 

0.00 

Myctophids 

+  0.02 

+0.12 

Other  mesopelagic 

taxa 

+  0.28 

+  0.12 

Coastal  taxa 

-0.69       P<0.05 

-0.68     P  =  0.05 

Zooplankton  biomass  values  show  negative  but 
nonsignificant  correlations  with  temperature  and 
salinity  (Table  9).  This  is  in  agreement  with  the 
time-series  analysis  results  of  Bernal  et  al.  (1983) 
which  demonstrated  no  consistent  relations  of 
zooplankton  biomass  with  cold-  or  warm-water 
events. 

Species  Groups  and 
Hydrographic  Conditions 

The  species  groups  formed  by  similarity  of 
between-year  abundance  ranks  demonstrate  both 
positive  and  negative  correlations  with  cold-  and 
warm-year  conditions  (Table  10).  Group  I  and 
Pair  II  and  their  member  species  have  negative 
correlations  with  ranked  temperature  and 
salinity  values  indicating  a  tendency  for  higher 


14 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 

surface      temperature      (°C)      and       salinity      (%o)       values      during      July-September 
available    Hydrographic  "condition"  descriptions  for  these  penods  are  from  Robles  et  al. 


1969 

1970 

1972 

1973 

1983 

Temperature  ("C) 
N 

35 

N  A 

110 

43 

24 

Range 

14.6-17.5 

15.5-18.5 

14.3-17.4 

15.1-19.0 

X 

16.0 

17.2 

15.8 

17.2 

(S) 

(1.0) 

(0.7) 

(0.9) 

(0.9) 

Rank 

5 

1.5 

6 

1.5 

Salinity  (%o) 
N 

35 

N.A. 

108 

43 

20 

Range 

34.60-35.19 

34.75-35.96 

34.60-35.13 

34  81-35.39 

X 

34.87 

35.05 

34.82 

35.09 

(S) 

(0.16) 

(0.18) 

(0.13) 

(0.19) 

Rank 

5 

3 

7 

1 

Hydrographic 
condition: 

Warm 

Cold 

El  Nirio 

Transition 

El  Nino 

Table  10. — Correlations  of  across-year  abundance  ranks  of  larval 
fish  species  groups  and  member  species  with  ranked  (high  to  low) 
mean  temperature  and  salinity  values  from  nine  July-September 
sampling  periods,  1964-83.  Correlations  based  on  Spearman's 
rho  tests.  Group  correlations  based  on  ranks  of  summed  within- 
year  ranks  of  member  species.  Significant  values  at  P  <  0.05  are 
indicated  but  note  use  of  multiple  testing.  "  =  abundance  ranks 
adjusted  to  accommodate  for  apparent  large  sampling  depth- 
related  catch  differences. 


Temperature 

Salinity 

Species 

(C) 

(%o) 

Group  1 

-0.78 

P  <  0.05 

-0.78   P<0.05 

Engraulis  nngens 

-0.52 

-0.62 

Normanichthys  crocken 

-0.69 

P  <  0.05 

-0.72   P<0.05 

Blenniid  D 

-0.74 

P  <  0.05 

-0.77  P<0.05 

Sebastes  sp. 

-0.67 

-0.55 

Group  II 

+  0.27 

+  0.20 

Diogenichthys  laternatus 

+  0.45 

+  0.50 

Bathylagus  nigngenys 

+  0.27 

+  0.20 

Vinciguerna  lucetia 

+  0.12 

-0.14 

Pair  1 

+  0.70 

P  <  0.05 

+  0,49 

Sardinops  sagax 

+  0.69 

P  <  0.05 

+  0.50 

Myctophum  nitidulum 

+  0.61 

+  0.35 

Pair  II 

-0.62 

-0.57 

Lampanyctus  parvicauda 

-0.68 

P  =  0.05 

-0.48 

Tnphoturus  mexicanus" 

-0.50 

-0.53 

abundances  during  colder,  lower  salinity  periods. 
The  rankings  of  Group  I  (based  on  ranks  of 
summed  within-year  member  species  ranks)  are 
significantly  correlated  (P  <  0.05)  with  both 
temperature  and  salinity  (p  =  -0.78  in  both 
cases).  Within  this  group  the  rankings  of 
Normanichthys  crockeri  and  Blenniid  D  are  cor- 
related (P  <  0.05)  with  temperature  and  salinity 
(p  =  -0.69  to  -0.77);  the  correlation  of  Sebastes 
with  temperature  is  also  relatively  strong 
(p  =  -0.67).  Within  Species  Pair  II,  Lampanyctus 
parvicauda  abundance  has  a  relatively  strong 


negative    correlation    with    temperature    (p    = 
-0.68). 

Group  II  and  Pair  I  and  their  member  species 
have  positive  correlations  of  ranked  abundance 
with  temperature  and  (with  one  exception)  salin- 
ity values  (Table  10)  suggesting  a  tendency  for 
higher  abundances  during  warmer,  higher  salin- 
ity conditions.  These  correlations  are  all  non- 
significant and  generally  weak  for  Group  II  and 
its  member  species  (Bathylagus  nigrigenys ,  Vin- 
ciguerria  lucetia,  and  Diogenichthys  laternatus). 
Pair  I  has  a  positive  correlation  (P  <  0.05)  with 
temperature  (p  =  +0.70)  primarily  due  to  sardine 
abundance  ranks. 

Species  Percentage  Composition 
Relative  to  Hydrographic  Conditions 

Ichthyoplankton  percentage  composition  shows 
no  striking  warm  year  vs.  cold  year  related 
patterns.  Total  ichthyoplankton  composition 
comparisons  between  years  of  "similar"  hydro- 
graphic  conditions  do  not  give  overall  higher  PSI 
values  than  do  comparisons  between  years  of  dif- 
ferent conditions  (Table  llA).  PSI  values  (ranges, 
means,  and  proportions  of  high  and  moderate  val- 
ues) from  comparisons  of  cold,  transition,  and 
warm  years  are  similar.  However,  highest  values 
(91.6-94.9)  come  from  cold  vs.  transition  year 
(1970  vs.  1966  and  1973)  and  between-transition 
year  (1966  vs.  1973)  comparisons.  Additionally, 
intercomparisons  of  the  transition,  warm,  and 
El  Niilo  years  give  relatively  lower  values  than 
do  cold-year  comparisons.  Comparisons  between 
El  Nino  years  give  generally  PSI  low  values. 


15 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


Table  11. — Within-  and  between-hydrographic  period  ichthyoplankton  composition 
comparisons  presented  as  range,  mean,  and  standard  errors  of  percent  similarity  index 
(PSI)  values  and  numbers  (N)  out  of  total  comparisons  hiaving  moderate  to  high  (e.g., 
-65)  values.  A.  Total  larvae.  B.  OL  (other  larval  taxa)  fraction. 


PSI  values  for 

Cold 

Transition 

Warm 

El  Nino 

A.  Total  larvae 

Cold  years 

Range 

67  8-822 

62.7-94.9 

62.8-82.5 

7.3-79.1 

(1964,  1967,  1970) 

X 

76.6 

79.4 

73.0 

46.5 

(SE) 

(  4.5) 

(   5.2) 

(   3.6) 

(  9  6) 

N 

33 

5/6 

4  6 

49 

Transition  years 

Range 

57.8-65.1 

3.3-79.4 

(1966,  1973) 

X 

91.9 

625 

39.7 

(SE) 

(    1-6) 

(12.9) 

N 

1/1 

1/4 

2/6 

Warm  years 

Range 

188-76.4 

(1968,  1969) 

X 

(SE) 

79.4 

52.3 

(  9.2) 

N 

1/1 

2/6 

El  Nmo  years 

Range 

220-45.3 

(1965,  1972,  1983) 

X 

(SE) 

N 

31.9 

(   7.0) 

03 

B.  OL 

Cold  years 

Range 

46  0-758 

30  5-68  3 

47.0-85,2 

332-88  1 

(1964,  1967,  1970) 

X 

58.6 

48.0 

64.6 

57.6 

(SE) 

(  8,9) 

(   5.7) 

(   5.4) 

(   5.9) 

N 

1,3 

1/6 

3/6 

3/9 

Transition  years 

Range 

36.8-67.9 

18  5-66.2 

(1966,  1973) 

X 

37.5 

51.7 

41.0 

(SE) 

(  6.4) 

(   7.8) 

N 

0/1 

1  4 

1  6 

Warm  years 

Range 

37,2-68,4 

(1968,  1969) 

X 

(SE) 

58.5 

53,1 
(   5.2) 

N 

0/1 

1/6 

El  Nino  years 

Range 

54.3-58.7 

(1965,  1972.  1983) 

X 

(SE) 

N 

55.8 

(   1.5) 

03 

The  OL  percentage  composition  similarly  does 
not  demonstrate  clear  hydrographically  related 
patterns  (Table  IIB).  As  with  the  total  larvae, 
comparisons  of  cold  vs.  other  years  yield  most  of 
the  moderate  to  high  PSI  values.  Highest  values 
(88.1  and  85.2)  come  from  comparisons  of  cold  vs. 
El  Nino  (1965  vs.  1967)  and  cold  vs.  warm  (1964 
vs.  1969)  years.  Comparisons  within  and  between 
transition,  warm  and  El  Nino  years  give  primar- 
ily low  values.  Recalculation  of  PSIs  to  accommo- 
date for  Triphoturus  mexicanus  lowers  mean  val- 
ues for  comparisons  with  1973  and  1983  by  only 
0.4-2.3  and  does  not  affect  the  overall  results. 

Chronological  Considerations  of 
Species  Composition 

When  the  total  larval  and  OL  PSI  data  are  con- 
sidered in  terms  of  chronological  rather  than  hy- 


drographic  periods,  various  patterns  become  ap- 
parent (Table  12).  For  the  total  ichthyoplankton, 
comparisons  within  the  1964-69  data  set  and  be- 
tween this  and  the  1970-73  data  set  give  similar 
means,  ranges,  and  proportions  of  moderate  to 
high  values.  In  contrast,  comparisons  within  the 
1970-73  data  set  provide  more  similar  values  and 
a  significantly  higher  mean  value  than  results 
from  comparisons  within  the  1964-69  set  (Z  test, 
P  <  0.01).  This  suggests  that,  despite  the  varied 
hydrographic  conditions  represented  during  the 
1970-73  period,  conditions  were  favorable  for  a 
repeated  fairly  similar  anchoveta-dominated 
ichthyoplankton  assemblage  during  July- 
September  months. 

Chronologically  grouped  comparisons  of  the  OL 
fraction  provide  somewhat  different  patterns 
from  those  of  the  total  ichthyoplankton  (Table 
12B)  and  indicate  a  marked  change  in  species 


16 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 


proportions  between  1964-69  and  later  years. 
Comparisons  within  the  1964-69  OL  data  set 
yield  all  of  the  high  and  most  of  the  moderate  PSI 
values.  The  mean  PSI  value  from  these  compari- 
sons is  significantly  higher  (P  <  0.05)  than  that 
from  1964-69  vs.  1970-73  comparisons.  As  with 
the  total  larvae,  the  1970-73  PSI  values  are  sim- 
ilar and  moderately  high  and  the  1983  compari- 
son values  are  relatively  low  compared  with  other 


Table  12. — Within-  and  between-time  period  ichthyoplank- 
ton  composition  comparisons  presented  as  ranges, 
means,  and  standard  errors  of  percent  similarity  index 
(PSI)  values  and  numbers  (A/)  out  of  total  comparisons 
having  moderate  to  high  (e.g..  -65)  values.  A.  Total  larvae. 
B.  OL  {other  larval  taxa)  fraction. 


PSI  values  for 

1964-69 

1970-73 

1983 

A.  Total  larvae 

1964-69 

Range 

33  9-825 

38  2-91.9 

3  3-31.0 

X 

67.4 

67.7 

18.2 

(SE) 

{   3.6) 

(  3.6) 

(   4.3) 

N 

9  15 

11  18 

06 

1970-73 

Range 

79.1-95.0 

7.3-22.0 

X 

84.4 

12.8 

(SE) 

(   5.2) 

(  4.7) 

N 

3/3 

03 

B.  OL 

1964-69 

Range 

29.2-88.1 

26.2-67.9 

18.5-54.4 

X 

60.2 

48.4 

40.7 

(SE) 

(  4.6) 

(   2.5) 

(   5.6) 

N 

715 

1  18 

06 

1970-73 

Range 

66.2-74.4 

58.6-60.2 

X 

69.7 

592 

(SE) 

(  2.4) 

(  0.5) 

N 

33 

0/3 

years.  Accommodation  for  T.  mexicanus  abun- 
dance reduces  slightly  (1.1-3.1)  the  mean  values 
from  comparisons  with  1970-73  and  1983  data 
sets  and  strengthens  the  significance  of  difference 
(P<0.01)  between  1964-69  and  1964-69  vs. 
1970-73  mean  values. 

The  difference  in  OL  PSI  values  between  1964- 
69  and  1970-83  is,  to  a  great  extent,  due  to  abun- 
dance shifts  of  Group  II  and  Pair  II  species.  The 
abundance  ranks  of  all  three  Group  II  species 
(Table  7)  indicate  significantly  higher  abun- 
dances during  1970-83  than  in  earlier  years 
(Man  Whitney  U  tests,  all  P's  <  0.05).  Addition- 
ally, the  averaged  abundance  estimates  from 
these  four  years  are  significantly  higher  than 
from  earlier  years  (Z  tests;  P  <  0.01  for  Bathyla- 
gus  nigrigenys  and  Vinciguerria  lucetia,P  <  0.05 
for  Diogenichthys  spp.).  Together  B.  nigrigenys , 
V.  lucetia,  and  Diogenichthys  spp.  (primarily  D. 
laternatus  )  contributed  46.5-72.8^7^  of  the  OL  col- 
lected during  1970-83  compared  with  5.8-37.1% 
during  1964-69  (Table  13). 

In  contrast.  Pair  II  species  Lampanyctus  parvi- 
cauda  and  Triphoturus  mexicanus  were  rela- 
tively less  abundant  during  1970-83  than  in  pre- 
vious years.  These  two  species  contributed 
21-66%  of  the  OL  during  1964-69  compared  with 
<22%  during  1970-83  (Table  13).  With  adjust- 
ments to  T.  mexicanus  abundance  these  species 
proportions  in  1973  and  1983  decrease  to  11.8% 
and  13.2%,  and  those  of  the  Group  II  species  in- 
crease to  49.9%  and  71.4%,  respectively.  The  rela- 
tive abundance  decrease  of  Pair  II  was  primarily 


Table  13.— Percentage  contribution  by  dominant  OL  (other  larval  taxa)  species  collected 
sampling  penods,  1 964-83.  Species  arranged  according  to  group  affiliations  based  on  across 
patterns. 


during  July-September 
■year  ranked  abundance 


Percentage  contribution  for 

1964 

1965 

1966 

1967 

1968 

1969 

1970 

1972 

1973 

1983 

Group  1 
Normanichthys  crocken 
Sebasles  sp. 
Blenniid  D 

1561 
0.36 
4.81 

1.94 
0.52 

67.40 
060 
4.00 

3.51 
0.63 
4.45 

5.15 
1.79 
940 

22.13 
2.16 

12.52 

1.02 
1.19 

15.72 
0.35 
4.31 

0.44 

Group  total 

20.78 

2.46 

72.00 

8.59 

16.34 

24.29 

12.52 

2.21 

20.38 

0.44 

Group  II 
Bathylagus  nigrigenys 
Vinciguerria  lucetia 
Diogenichthys  spp. 

3.63 
2.81 
5.63 

6.60 

0.52 

24.45 

1.61 
0.70 
350 

608 

3.82 

19.11 

13.87 

6.94 

16.33 

0.75 

2.16 

12.15 

9.01 
26.78 
26.78 

24.14 
23.37 
25.29 

17.53 

9.31 

19.68 

13.78 

1.62 

49.96 

Group  total 

12.07 

31.57 

5.81 

2901 

37.14 

15.06 

62.57 

72.80 

46.52 

65.36 

Pair  1 
Myctophum  nitidulum 

0.36 

— 

0.10 

— 

0.89 

0.75 

— 

2.05 

2.15 

2.01 

Pair  II 
Lampanyctus  parvicauda 
Triphoturus  mexicanus 

37.21 
28.86 

41.40 
20.44 

15.77 
4.99 

3947 
18  17 

24.16 
10.29 

32.11 
26.37 

7.13 
14.27 

12.67 
8.40 

6.06 
11.82 

6.78 
14.70 

Pair  total 

66.07 

61.84 

20,76 

57.64 

34.45 

58  48 

21.40 

21.07 

17.88 

21.48 

17 


FISHERY  BULLETIN:  VOL.  86.  NO   1 


due  to  the  increased  numbers  of  Group  II  species 
and  decreased  numbers  of  L.  parvicauda .  The 
1970-83  averaged  abundance  of  L.  parvicauda  is 
significantly  lower  (Z  test;  P  <  0.01)  than  that  of 
1964-69.  Triphoturus  mexicanus  averaged  abun- 
dance (both  adjusted  and  unadjusted  values) 
is  similar  (P  >  0.05)  between  the  two  time  peri- 
ods. 

DISCUSSION 

The  northern  Chilean  ichthyoplankton  data  set 
is  obviously  weakened  by  lack  of  information 
from  the  1974-82  period;  this  missing  informa- 
tion is  critical  for  an  appreciation  of  the  temporal 
extent  and  relative  constancy  of  the  apparent 
ichthyoplankton  composition  change  in  1970-73 
vs.  earlier  years.  This  data  set  also  suffers  from 
limited  seasonal  coverage  which  prohibits  exami- 
nation of  between-year  variations  in  spawning 
time  and  intensity  as  a  cause  of  interannual 
abundance  fluctuations  and  apparent  composi- 
tion change.  However,  the  existing  data  set  does 
provide  coherent  coverage  over  varied  hydro- 
graphic  conditions  between  1964  and  1973  and  is 
sufficient  to  test  for  correlations  with  short-term 
(e.g.,  year  to  year)  fluctuations  in  hydrographic 
conditions. 

The  large  interannual  changes  in  abundance 
and  composition  of  the  northern  Chilean  ichthy- 
oplankton can  to  a  certain  extent  be  related  to 
interannual  changes  of  hydrographic  conditions 
in  the  Humboldt  Current.  This  has  been  demon- 
strated through  correlations  of  ranked  tempera- 
ture and  salinity  values  and  abundances  of 
coastal  species,  sardine,  and  Lampanyctus  parvi- 
cauda (Tables  9,  10).  The  temperature  and  salin- 
ity values  used  in  these  correlation  tests 
represent  ambient  conditions  during  the  July- 
September  spawning  period  and  therefore 
possibly  reflect  only  conditions  affecting  egg  and 
early  larval  (e.g.,  to  stages  capable  of  substantial 
net  avoidance)  survival.  These  values  do  not  nec- 
essarily reflect  longer  term  conditions  affecting 
abundance,  distributions,  and  fecundities  of  adult 
populations  or  later  larval  survival  and  recruit- 
ment. However,  there  is  a  generally  good  corre- 
spondence between  these  values  and  reported 
longer  term  hydrographic  conditions  in  the  Hum- 
boldt Current  over  the  19-yr  timespan  (e.g., 
Table  8;  Robles  et  al.  1976;  Bernal  et  al.  1983; 
Guillen  1983;  Bakun  1987). 

Despite  significant  correlations  between  abun- 
dances of  some  ichthyoplankton  components  and 


temperature  and  salinity  values,  there  is  no  ap- 
parent consistency  of  total  larval  or  OL  species 
percentage  compositions  during  years  of 
"similar"  hydrographic  conditions  (Table  11). 
More  coherent  patterns  emerge  from  consider- 
ations of  the  1964-69  and  1970-73  data  sets 
(Table  12).  This  chronological  separation  is  also 
supported  by  the  ranked  abundance  patterns  of 
the  various  species  groups  and  pairs  {Table  7). 

Among  the  least  confusing  across-year  abun- 
dance patterns  demonstrated  by  the  ichthy- 
oplankton are  1)  generally  greater  abundance 
of  Group  II  species  after  1969,  2)  greatest  abun- 
dance of  Pair  I  species  after  1970,  and  3)  pre- 
dominantly higher  abundances  of  one  of  the  Pair 
II  species  prior  to  1970  (Table  7).  Associated  with 
the  Group  II  and  Pair  II  abundance  patterns  are 
large  shifts  in  their  relative  proportions 
(Table  13). 

The  shift  from  relatively  large  percentage  con- 
tributions by  Lampanyctus  parvicauda  and 
Triphoturus  mexicanus  to  larger  proportions  of 
Diogenichthys  spp.,  Bathylagus  nigrigenys ,  and 
Vinciguerria  lucetia  after  1969  is  notable.  The 
abundances  of  these  mesopelagic  species,  unlike 
those  of  anchoveta  and  sardine,  are  not  directly 
influenced  by  man's  fishing  activities  and  so  may 
be  interpreted  as  indicators  of  environmental 
change.  Furthermore,  the  timing  of  these  species 
absolute  and  relative  abundance  changes  pre- 
ceded by  several  years  the  dramatic  changes  in 
anchoveta  and  sardine  stocks  off  of  northern 
Chile  (Fig.  4)  and  so  cannot  be  directly  related  to 
biological  consequences  of  change  in  the  domi- 
nant pelagic  schooling  fish  stocks. 

Although  fragmentary,  there  is  evidence  for  a 
change  in  zooplankton  biomass  values  off  north- 
ern Chile  (18°-24°S)  occurring  in  1969  (Fig.  5) 
which,  like  OL  percentage  composition,  suggests 
a  possible  environmental  change.  Time  series 
analysis  of  quarterly  zooplankton  biomass  values 
during  1964-73  indicate  generally  lower  biomass 
during  1969-73  relative  to  the  1964-68  period. 
As  with  total  larval  abundance  (Table  9),  these 
zooplankton  biomass  variations  do  not  appear  to 
be  related  to  warm  year-cold  year  events  (Bernal 
et  al.  1983). 

The  changes  in  OL  composition  and  zooplank- 
ton biomass  suggest  that  there  was  subtle  but 
large-scale  (low-frequency)  environmental  tran- 
sition occurring  in  the  1969—70  period.  Various 
indications  of  environmental  change  occurring 
about  this  time  are  present  in  long-term  physical 
data  bases  from  Chile  and  Peru.  Predominantly 


18 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 

3,0 


1955 


83   84 


Figure  4.— Total  catch  and  catch  of  dominant  species  taken  in  the  northern  Chilean  pelagic  fishery,  1955-84. 


negative  sea  surface  atmospheric  pressure 
anomalies  occurred  off  of  Arica  from  1960  to  1972 
with  a  strong  negative  anomaly  occurring  in 
1969;  predominantly  positive  anomalies  occurred 
there  after  1972  (Fig.  6A).  A  similar  but  less  ex- 
treme change  from  negative  or  neutral  anomalies 
to  predominantly  positive  anomalies  occurred  off 
Iquique  (20"S)  in  1970  (Fig.  6B;  Kelly  and  Blanco 
1983). 

Off  Peru  (5°-15°S)  the  wind  driven  turbulent 
mixing  index  of  surface  waters  shows  a  general 
increase  during  and  after  the  1972  El  Nino  event 
(Fig.  7A;  Bakun  1987).  A  probable  result  of  this 
increased  turbulence  is  an  increase  in  standard 
deviations  associated  with  monthly  temperature 
values;  standard  deviations  above  the  30-yr  mean 
generally  persisted  throughout  the  year  from 
1972  to  1984  (Fig.  7B)  and  suggest  increased 
physical  variability  and  heterogeneity  in  this 
later  period.  Comparable  data  sets  from  northern 
Chile  are  not  available  to  determine  if  these  lat- 


ter two  features  were  also  characteristic  of  the 
Chilean  area. 

How  these  observed  atmospherically  related 
changes  could  be  related  to  changes  in  the  marine 
environment  off  northern  Chile  is  uncertain.  It  is 
possible  that  the  observed  changes  in  atmos- 
pheric pressure  off  Arica  and  Iquique  have  associ- 
ated changes  in  advection  of  water  mass  and  fau- 
nal  sources.  Bernal  et  al.  (1983)  discussed  El  Nino 
related  changes  in  water  mass  distribution  off 
Chile  in  1972  and  1973  relative  to  cold-year  1967. 
These  changes  involved  southerly  extensions  of 
oceanic  subtropical  and  equatorial  subsurface 
waters,  strengthening  of  the  spring-summer  ther- 
mocline,  and  cessation  of  coastal  upwelling. 
These  authors  did  not  examine  water  mass  distri- 
butions in  the  1968-70  period.  However,  lowered 
zooplankton  biomass  starting  in  1969  and  the  OL 
composition  change  starting  around  1970  suggest 
that  the  hydrographic  conditions  attributed  to  the 
1972  El  Nino  may  have  been  an  intensification  of 


19 


w 


ZOOPLANKTON    BIOMASS 


W 


FISHERY  BULLETIN:  VOl-  86,  NO   1 


W 


2  0 


1  .0 


o 
■o 

c 
o 

to 


I    0   - 


-  2  0 


— 

— 1 

1 

1     1 

1 

- 

19 

64 

9 

S5 

1966 

1967 

1966 

969 

1970 

1971 

972 

1973 

Year 


Figure  5. — Time  series  estimates  of  quarterly  zooplankton  biomass  values  from  northern  Chile 
(18°-24°S),  1964-73,  standardized  accordmg  to  the  long  term  standard  deviation.  W  =  warm 
years;  C  =  cold  years.  From  Bernal  et  al.  1983. 


SEA    SURFACE 
ATMOSPHERIC    PRESSURE    ANOMALIES 


3    - 


3   - 


3    - 
2    - 

B 

- 

1     - 

/^      1 

V^ 

\/ 

L-A 

/V 

r^ 

A 

r\ 

f 

V 

A 

\ 

\ 

\ 

r\ 

\  '' 

yt 

\' 

V 

1  - 

0 

J  ^ 

V 

H 

V^ 

/•M 

-J 

V  \H 

'V 

1 

^ 

yl 

V 

\ 

I960      61        62        63        64       65       66       67       68       69       70       71         72       73        74        75       76       77        78        79        80        81         82 

Year 

Figure  6. — Sea  surface  atmospheric  pressure  anomalies  off  of  (A)  Arica  (18'Sl  and  (B)  Iquique  (20''Sl,  1960-82.  From 

Kelly  and  Blanco  1983. 


20 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 

TURBULENT    MIXING    INDEX 


350  - 


300   - 


250   - 


200   - 


55 


65  70 

Year 
STANDARD     DEVIATIONS 


4  0- 
3  5 
3  0 
2  5 
2.0 

I   5 

1.0 


B 


Std.     dev 

12-   mo-    running  meon  of    std.  dev. 


.—      Long   -    Itrtn     meon  of     tid.  dev. 


85 


Yeor 


Figure  7.— (A)  Surface  layer  turbulent  mixing  index  values  and  (B)  standard  deviations  and  12-mo  running  mean  of  standard 
deviations  associated  with  mean  monthly  sea  surface  temperature  values  off  of  Peru  (5°-15°S),  1953-84.  Dotted  lines  represent 
long-term  mean  values  of  each  index.  From  Bakun  1987. 


conditions  initiated  during  the  warm  1968-69  pe- 
riod; these  could  possibly  have  persisted  and  in- 
tensified again  during  the  1976  and  1983  El  Nino 
events. 

It  is  also  likely  that  the  1970  change  in  OL 
composition  is  related  to  onshore  advection  of 
northern  or  oceanic  water  masses  and  associated 
faunal  assemblages,  but  this  cannot  be  confirmed. 
All  involved  species  are  relatively  abundant  in 
coastal  Peruvian  and  south  eastern  tropical 
Pacific  waters  (Ahlstrom  1971,  1972;  de  Castillo 
1979;  Santander  and  de  Castillo  1979)  and  in 
more  southern  coastal  Chilean  waters  (Table  2), 
but  their  wintertime  relative  abundances  in  these 
areas  have  not  been  documented.  It  is  also  possi- 
ble that  the  changes  in  species  composition  are 
related  to  locally  lowered  zooplankton  abundance 
(e.g.,  that  the  Group  II  species  are  relatively  more 
successful  than  Lampanyctus  parvicauda  and 
Triphoturus  mexicanus  during  periods  of  lowered 
secondary  productivity  levels).  Alternatively,  the 


observed  change  could  be  due  to  altered  seasonal 
spawning  activity  which  is  not  treated  in  the 
present  study.  However,  whatever  the  cause, 
there  is  evidence  for  an  environmental  change 
in  the  study  area,  and  this  may  be  also  implicated 
in  changes  occurring  within  the  PL  ichthyoplank- 
ton  fraction. 

Increased  abundances  of  sardine  and  Mycto- 
phum  nitidulum  (Pair  I  species)  during  and  after 
1972  may  be  further  evidence  for  a  changed 
marine  environment  off  of  northern  Chile.  Addi- 
tionally, the  significant  correlation  between  lar- 
val sardine  abundance  and  temperature 
(Table  10)  suggests  that  elevated  temperatures 
may  have  been  important  for  increased  spawning 
activity  and/or  increased  success  of  hatching  and 
early  larval  survival.  Given  this  observation  one 
may  speculate  that  the  increased  sardine  catches 
after  1973  (Fig.  4)  are  related  to  increased  fre- 
quency of  warm-water  events  in  the  1964-84  pe- 
riod relative  to  earlier  years.  Increased  sardine 


21 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


catches  in  1973  resulted  from  apparently  ex- 
tremely good  survival  and  recruitment  of  individ- 
uals spawned  during  the  warm  1968-69  period 
(Serra"^).  Similarly,  good  survival  of  the  large 
1972  El  Nino  spawn  could  explain  the  huge  catch 
increases  in  1976  and  later  years  (Fig.  4).  How- 
ever, mean  biomass  estimates  of  age  groups  con- 
tributing to  the  Chilean  fisheries  catch  from  1974 
to  1981  (Serra  1983)  indicate  increasing  contribu- 
tions after  the  1967  year  class  with  marked  in- 
creases beginning  with  the  1970  year  class;  this 
suggests  that  factors  other  than  temperature 
(e.g.,  environmental  change  starting  in  1969-70) 
may  also  be  responsible  for  increased  larval  sur- 
vival and  recruitment.  A  possible  cause  is  in- 
creased nearshore  influence  of  equatorial  and 
subtropical  waters  (Santander  and  Flores  1983). 
Because  the  sardine  abundance  increase  was  ini- 
tiated prior  to  the  1972  anchoveta  decline  off 
northern  Chile  (Fig.  4),  it  is  difficult  to  implicate 
reduced  anchoveta  competition  as  the  cause  of  the 
early  sardine  population  growth  in  this  area. 

The  grouping  of  anchoveta  with  three  coastal 
species  (Group  I),  and  significant  correlation  of 
anchoveta  and  Normanichthys  crockeri  larval 
abundances  are  extremely  interesting  and  imply 
that  the  spawning  intensity  and/or  early  stage 
survival  of  these  four  species  are  influenced  in 
similar  ways  by  interannual  changes  off  northern 
Chile.  Unfortunately,  little  is  known  about  the 
natural  histories  or  population  abundances  of  the 
coastal  species.  Because  of  the  group  composition, 
it  is  logical  to  suspect  that  coastal  processes  are 
important  factors  influencing  their  larval  abun- 
dance. The  significant  negative  correlation  of  the 
group  as  a  whole,  and  of  two  of  the  coastal  species, 
with  ranked  temperature  and  salinity  values 
(Table  10),  suggests  that  coastal  upwelling  and/or 
increased  coastal  influence  by  subantarctic 
waters,  and  theoretically  enhanced  food  supplies, 
are  important  factors. 

Given  the  present  data  set  and  information 
from  recent  publications,  a  case  can  be  made  for  a 
low-frequency  environmental  change  influencing 
the  abundances  of  anchoveta  and  sardine  larvae 
as  well  as  the  larvae  of  coastal  and  mesopelagic 
species  during  the  1964-84  period.  The  Chilean 
OL  composition  suggests  an  environmental 
change  (e.g.,  an  atmospherically  related  oceanic 
circulation  change)  starting  with  the  1968-69 
warm-water  event.  This  coincided  with  apparent 


successful  survival  of  sardine  larvae  and 
markedly  increased  recruitment  by  1968  and 
later  year  classes  despite  varied  warm  water-cold 
water  events  between  1968  and  1973.  Physiologi- 
cal anomalies  of  Peruvian  anchoveta  stocks  in 
1971  suggest  that  these  fishes  may  have  experi- 
enced environmental  change  at  that  time.  Unusu- 
ally low  proportions  (e.g.,  40%  vs.  typically  90%) 
of  potential  spawning-sized  fish  were  sexually 
mature  during  the  1971  spawning  season  and  fat 
content  of  the  1971-72  catch  was  anomolously 
high,  indicating  unusually  low  transfer  of  body 
fat  to  gonadal  products  (Sharp  1980).  Starting 
with  the  1972  El  Nino  was  1)  an  obvious  in- 
creased incidence  of  penetration  of  subtropical 
surface  waters  toward  the  Peruvian  coast,  2)  co- 
incidental onshore  and  southward  expansion  of 
sardine  spawning  activity  off  both  Peru  and 
Chile,  3)  southward  expansion  of  Peruvian  an- 
choveta spawning  activity  into  new  spawning 
areas  between  14°S  and  18°S  (e.g.,  to  northern 
Chile),  and  4)  a  succession  of  years  of  poor  an- 
choveta larval  survival  off  Peru  and  Chile  (San- 
tander and  Flores  1983;  Serra  1983).  Environ- 
mental conditions  favorable  for  growth  of  sardine 
populations,  as  well  as  of  mackerel  and  jack 
mackerel  populations,  off  both  Chile  and  Peru 
have  persisted  since  the  early  to  mid-1970's  (San- 
tander and  Flores  1983;  Serra  1983). 

The  lack  of  Chilean  ichthyoplankton  data  from 
the  1974-82  period  precludes  evaluation  of  the 
constancy  of  altered  species  composition  during 
that  time.  However,  there  are  indications  that 
change  is  once  more  occurring  off  northern  Chile. 
Preliminary  analysis  of  ichthyoplankton  samples 
collected  between  Arica  and  Antofagasta  during 
4-14  August  1985  indicates  a  clear  dominance  by 
anchoveta  larvae  at  a  markedly  higher  mean 
abundance  level  than  encountered  in  the  1964- 
83  samples;  sardine  and  Trachurus  larval  abun- 
dances are  comparable  to  those  in  the  1973  sam- 
ples (Table  14).  The  other  species  have  not  yet 
been  analyzed,  but  Normanichthys  crockeri  is 


Table  14. — Mean  abundance  estimates  and  standard  errors  (num- 
bers per  10  m2)  and  percent  frequency  of  occurrence  (F)  of  PL 
taxa,  OL  and  total  larvae  collected  in  81  1 00-0  m  WP2  net  samples 
off  northiern  Chile  (18°-24°S)  during  4-24   August  1985. 


Species 


(SE) 


(F) 


3Serra,    R.     Unpubl.    manuscr.     Subsecretaria    de    Pesca, 
Teatinos  120,  Piso  11,  Of.  44,  Santiago,  Chile. 


Engraulls  ringens  5,535.3  (1,844.1)  (90.4) 

Sardinops  sagax  63.8  (      24.9)  (26.6) 

Trachurus  murphyi  1.2  (        0.9)  (2.1) 

Otfier  species  233.7  (      28.4)  (92.5) 

Total  5,834.0  (1,838.2) 


22 


LOEB  and  ROJAS:  ICHTHYOPLANKTON  COMPOSITION  AND  ABUNDANCE 


once  again  noted  to  be  among  the  abundant  OL 
taxa.  It  will  be  of  great  interest  to  see  the  recruit- 
ment resulting  from  this  1985  anchoveta  spawn. 
If  the  1985  anchoveta  year  class  is  relatively  suc- 
cessful during  this  period  of  continued  large  sar- 
dine stocks,  it  will  lend  support  to  the  idea  that 
the  anchoveta-sardine  population  fluctuations 
have  been  primarily  regulated  by  low-frequency 
hydrographic  events.  In  a  long-term  context  such 
events  may  not  be  unusual  to  the  Humboldt  Cur- 
rent area.  Fish  scales  present  in  sediment  records 
from  coastal  Peruvian  waters  indicate  that  sar- 
dine replacements  of  typically  dominant  an- 
choveta stocks  have  occurred  at  infrequent  inter- 
vals over  the  past  11,000  years  (De  Vries  and 
Pearcy  1982).  In  light  of  this,  the  ecological 
events  of  the  past  20  years  may  be  naturally  oc- 
curring, physically  mediated,  but  probably  fish- 
eries enhanced,  fluctuations  in  this  hydrographi- 
cally  complex  region.  Because  of  our  limited  time 
reference,  we  have  not  previously  acknowledged 
such  fluctuations  as  being  "normal". 

ACKNOWLEDGMENTS 

We  extend  our  appreciation  to  Dick  Parrish  and 
Andy  Bakun,  Pacific  Fisheries  Environmental 
Group  (SWFC/NMFS/NOAA),  whose  interest  in 
eastern  boundary  current  comparison  studies  has 
made  this  work  possible.  We  also  thank  Rodolfo 
Serra  and  Gary  Sharp  for  their  valuable  com- 
ments and  discussions  of  the  manuscript.  Appre- 
ciation is  extended  to  numerous  other  people  in- 
cluding ship  captains  and  crew  and  laboratory 
assistants,  especially  Hernan  Miles,  who  have 
helped  in  sample  collection  and  processing  over 
the  20-yr  period. 

This  work  was  funded  by  NMFS/NOAA  Solici- 
tation WASC-84-00075. 


LITERATURE  CITED 

Ahlstrom,  E.  H. 

1971.  Kinds  and  abundance  of  fish  larvae  in  the  eastern 
tropical  Pacific,  based  on  collections  made  on 
EASTROPAC  I.     Fish.  Bull.,  U.S.  69:3-77. 

1972.  Kinds  and  abundance  of  fish  larvae  in  the  eastern 
tropical  Pacific  on  the  second  multivessel  EASTROPAC 
survey,  and  observations  on  the  annual  cycle  of  larval 
abundance.     Fish.  Bull.,  U.S.  70:1153-1242. 

Bakun,  A. 

1987.  Monthly  variability  in  the  ocean  habitat  off  Peru  as 
deduced  from  maritime  observations,  1953-84.  In  D. 
Pauly  and  I.  Tsukayama  (editors),  the  anchoveta  and  its 
ecosystem,  p.  46-74.  International  Center  for  Living 
Aquatic  Resources  Management  (ICLARM),  Manila. 


BERNAL,  p.  a.,  F.  L.  RoBLES,  AND  O.  RoJAS. 

1983.     Variabilidad  fisica  y  biologica  en  la  region  merid- 
ional del  sistema  de  corrientes  Chile-Peru.     FAO  Fish. 
Rep.  291:683-711. 
CONOVER,  W.  J. 

1971.     Practical    nonparametric    statistics.    John    Wiley 
and  Sons,  N.Y.,  462  p. 
DE  Castillo,  O.  S. 

1979.  Distribucion  y  variacion  estacional  de  larvas  de 
peces  en  la  costa  Peruana.  Inf.  Inst.  Mar  Peru  63:1- 
32. 

De  Vries.  T  J  .  and  W  G.  Pearcy. 

1982.  Fish  debris  in  sediments  of  the  upwelling  zone  off 
central  Peru:  a  late  quarternary  record.  Deep-Sea  Res. 
28(1A):87-109. 

DiXON.  W  J.,  AND  F.  M.  Massey,  Jr. 

1969.  Introduction  to  statistical  analysis.  McGraw-Hill, 
N.Y.,  638  p. 

Guillen,  O 

1983.  Condiciones  oceanograficas  y  sus  fluctuaciones  el  el 
Pacifico  sur  oriental.     FAO  Fish.  Rep.  291:607-658. 

Kelly,  R  ,  and  J.  L.  Blanco. 

1983.     Fluctuaciones  ambientales  y  su   relacion   con   la 
abundancia  de  recursos  pelagicos  en  la  zona  norte-centro 
de  Chile.     Inst.  Fom.  Pesq.  830040,  22  p. 
Parrish.  R  H  ,  A  Bakun.  D  M  Husby,  and  C  S  Nelson. 

1983.     Comparative  climatology  of  selected  environmental 
processes  in  relation  to  eastern  boundary  current  pelagic 
fish  reproduction.     FAO  Fish.  Rep.  291:731-777. 
Robertson. A 

1970.  An  improved  apparatus  for  determining  plankton 
volume.     Fish.  Bull.,  S.  Afr.  6:23-26. 

ROBLES,  F  L  ,  E  ALARCON.  AND  A  ULLOA. 

1980.  Water  masses  in  the  northern  Chilean  zone  and 
their  variations  in  the  cold  period  (1967)  and  warm 
periods  ( 1969,  1971-73).  Proceedings  of  the  workshop  on 
the  phenomenon  known  as  "En  Nino",  p.  83-174. 
UNESCO. 

Sameoto.  D 

1980.  Distribution  and  abundance  of  six  species  of  fish 
larvae  in  Peruvian  waters  and  their  relationship  with  the 
physical  and  biological  environment.  Bol.  Inst.  Mar 
Peru  Callao  5:164-170. 

Santander,  H  ,  and  O  S  de  Castillo 

1979.  El  ictioplancton  de  la  costa  Peruana.  Bol.  Inst. 
Mar  Peru  Callao  4:69-112. 

Santander.  H  .  and  R  Flores 

1983.     Los  desoves  y  distribucion  larval  de  cuatro  especies 
pelagicas  y  sus  relaciones  con  las  variaciones  del  ambi- 
ente  marino  frente  al  Peru.     FAO  Fish.  Rep.  291:835- 
867. 
Serra.  J  R 

1983.     Changes   in   the   abundance  of  pelagic  resources 
along  the  Chilean  coast.     FAO  Fish.  Rep.  291:255-284. 
Sharp.  G  D 

1980.  Report  of  the  workshop  on  effects  of  environmental 
variation  on  survival  of  larval  pelagic  fishes.  In  G.  D. 
Sharp  (editor).  Workshop  on  the  effects  of  environmental 
variation  on  the  survival  of  larval  pelagic  fishes,  Lima, 
Peru,  April-May  1980.  Workshop  Report  No.  28,  p.  15- 
59.  Intergovernmental  Oceanographic  Commission, 
UNESCO,  Paris. 

Tate.  M  W  ,  and  R  C  Clelland 

1957.  Nonparametric  and  shortcut  statistics  in  the  social, 
biological  and  medical  sciences.  Interstate  Printers  and 
Publishers,  Danville,  IL,  171  p. 


23 


FISIIKRY  BUI.LKTIN   VOL  HH.  NO   1 

UNESCO  Wyktki,  K 

1968.     Zooplankton    sampling.    Monographs    on    oceano-  1967.     Circulation  and  water  masses  in  the  eastern  equa- 

graphic      methodology      2.     Imprimeries      Fopulaires,  torial  Pacific  Ocean.     Int.  J.  Oceanol.  Limnol  1:1 17-147. 

Geneva.  174  p.  Yashnov,  V  A 

WmiTAKKK.  K  H  1959.     A  new  model  of  a  volume  meter  for  rapid  and  pre- 

1975.     Communities    and    ecosystems      MacMillan    Pub-  cise  plankton  evaluation  undt-r  field  conditions.     Zool. 

lishing  Co.,  N.Y.,  385  p.  Zh.  (Moscowl  38:1741-1744. 


24 


ESTIMATION  OF  NATURAL  MORTALITY  IN  FISH  STOCKS: 

A  REVIEW 

E.  F  VetterI 


ABSTRACT 

The  instantaneous  rate  of  natural  mortality  (M)  is  an  important  but  poorly  quantified  parameter  m 
most  mathematical  models  of  fish  stock  dynamics.  This  report  reviews  methods  used  commonly  to 
estimate  M  for  fish  stocks,  sensitivity  of  some  common  fishery  models  to  values  chosen  for  M,  and 
evidence  refuting  the  common  assumption  that  a  constant  value  can  be  an  adequate  approximation 
of  A/  within  single  stocks. 


With  the  exception  of  simple  surplus  production 
models  (e.g.,  Schaefer  1954;  Pella  and  Tomlinson 
1969)  all  mathematical  models  offish  stock  dy- 
namics include  as  a  parameter  the  instantaneous 
rate  of  natural  mortality  (M).  The  models  do  not 
require  explicitly  any  particular  form  for  M;  it 
can  be  constant  or  can  vary  in  any  imaginable 
form.  But  because  natural  mortality  has  proved 
extremely  difficult  to  measure  directly,  M  is  as- 
sumed almost  universally  to  be  some  constant 
specific  to  whatever  stock  is  being  modeled.  This 
is  particularly  true  for  analyses  of  commercial 
fish  stocks,  which  often  require  estimates  of  M 
only  for  the  postrecruit  ages.  Decreases  in  natural 
mortality  with  increasing  age  during  egg  and 
postlarval  stages  are  so  dramatic  compared  to  ap- 
parent changes  during  postrecruitment  ages  (e.g., 
Gushing  1975)  or  compared  to  differences  be- 
tween different  sexes,  collection  sites,  seasons, 
years,  cohorts,  or  stocks  within  species,  that  vari- 
ations in  M  during  these  later  (postrecruitment) 
ages  are  often  assumed  negligible. 

Whether  this  assumption  is  in  fact  acceptable  is 
the  subject  of  this  report.  The  answer  is  no,  it  is 
probably  not  acceptable  in  most  cases.  That  an- 
swer follows  from  the  information  presented  in 
Sections  II  through  V,  with  the  following  conclu- 
sions: 

Section  II:  Current  methods  for  estimating  nat- 
ural mortality:  a  review  of  methods  used  cur- 
rently to  estimate  M  in  fish  populations.  All  of 
these  methods  have  strong  limitations  or  disad- 
vantages. 


^Southwest  Fisheries  Center  La  Jolla  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  P.O.  Box  271,  La  Jolla,  CA 
92038. 


Manuscript  accepted  October  1987. 
FISHERY  BULLETIN:  VOL.  86,  NO.  1.  1988. 


Section  III:  Sensitivity  of  fishery  models  to 
choices  for  M:  a  review  of  the  sensitivity  of  some 
standard  fishery  models  to  different  choices  for 
input  value(s)  of  M.  Existing  studies  show  that 
the  models  are  sensitive  and  that  sensitivity  is 
affected  not  only  by  the  values  chosen  for  M,  but 
also  by  interactions  between  M  and  the  values 
chosen  for  other  parameters  in  the  models. 

Section  IV:  Evidence  for  nonconstant  M;  factors 
influencing  death  rate:  a  review  of  factors  as- 
sumed or  shown  to  affect  M  in  fish  stocks.  Avail- 
able information  implies  that  many  such  factors 
exist,  acting  alone  or  in  concert. 

Section  V:  Evidence  for  nonconstant  M;  vari- 
ability within  and  between  groups:  a  review  of 
existing  quantitative  evidence  for  the  extent  of 
variability  in  M  between  but  especially  within 
stocks.  Because  almost  all  fishery  models  focus  on 
single  stocks,  variability  within  stocks  (as  op- 
posed to  between  stocks)  is  the  most  important 
question.  Some  studies  show  strong  differences 
between  mortality  rates  of  various  groups  offish; 
some  do  not.  Those  which  do  not  have  tended  to 
assume  there  would  be  none,  and  have  often  used 
catch  curve  regression  analysis  to  derive  a  single 
estimate  from  data  combined  over  many  groups 
(usually  years)  of  data.  The  few  studies  from 
which  it  is  possible  to  determine  ranges  of  esti- 
mates show  differences  of  at  least  50  to  100%  be- 
tween minimum  and  maximum  estimates  for  sin- 
gle groups  (e.g.,  stocks)  offish. 

The  report's  major  conlcusions  are  that  natural 
mortality  is  far  from  constant  for  many  fish 
stocks,  and  that  this  variability  is  extensive 
enough  that  it  should  not  be  ignored.  Analyses  of 

25 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


fish  stock  dynamics  need  much  more  rigorous  es- 
timates of  within-stock  variability  (both  trends 
and  variance)  in  M  for  exploited  fish  stocks. 

II.  CURRENT  METHODS  FOR 
ESTIMATING  NATURAL  MORTALITY 

Three  methods  are  used  currently  or  have  been 
proposed  to  estimate  M  in  fish  populations: 
1)  analysis  of  catch  data,  usually  from  commer- 
cial fisheries  but  also  from  sampling  programs 
specifically  conducted  for  stock  assessment  (this 
includes  mark-recapture  studies),  2)  correlations 
of  M  with  other  life  history  parameters,  and 
3)  estimation  of  deaths  due  to  predation.  I  de- 
scribe below  each  method  in  turn,  listing  both 
advantages  and  disadvantages  of  each. 

Catch-Analysis  Methods 

Methods  for  deriving  estimates  of  natural  mor- 
tality from  catch  data  are  based  on  measuring 
decreases  in  abundance,  either  relative  or  abso- 
lute, in  groups  of  fish  during  two  or  more  succes- 
sive periods  of  time.  Groups  may  be  distinguished 
on  the  basis  of  any  identifiable  characteristic, 
e.g.,  size  (length  or  weight),  age,  sex,  location  and 
time  of  capture,  or  some  identifiable  tag  or  mark. 

The  most  common  grouping  is  by  age,  for  two 
reasons.  First,  age  has  been  considered  histori- 
cally the  most  important  factor  potentially  affect- 
ing estimates  of  mortality  rate  and  subsequent 
results  from  the  most  commonly  used  fishery 
models  (e.g.,  Heincke  1913;  Baranov  1918).  This 
is  probably  because  the  methods  were  developed 
for  temperate  water  fisheries  which  tend  to  have 
obvious  annual  reproductive  cycles,  so  that  indi- 
vidual year  classes  are  often  relatively  easy  to 
distinguish.  Second,  the  earliest  method  of  esti- 
mating M  (catch  curve  analysis,  discussed  below) 
depends  on  determining  the  rate  during  succes- 
sive ages. 

Regardless  of  the  grouping  criterion,  methods 
for  estimating  M  use  generally  one  of  two  types  of 
data.  The  first  type  is  simply  subsamples  of  un- 
marked catch.  These  subsamples  contain  fish  se- 
lected randomly  and  classified  into  groups  on  the 
basis  of  size  (length  or  weight).  The  second  type  is 
mark-recaptures,  in  which  previously  marked  in- 
dividual fish  can  be  identified  and  classified  after 
recapture  into  groups  on  the  basis  of  this  positive 
identification.  Estimates  of  mortality  are  usually 
derived  from  samples  of  unmarked  fish  by  analy- 
sis of  resulting  "catch  curves"  (Ricker  1975).  Be- 


cause it  has  been  used  so  frequently,  catch  curve 
analysis  is  discussed  below  in  some  detail. 

With  marking  it  is  possible  to  follow  the  history 
of  individual  fish,  so  many  different  types  of  esti- 
mation procedures  exist  for  deriving  estimates  of 
mortality  from  mark-recapture  data  (e.g.,  Ricker 
1975;  Jones  1979;  Brownie  et  al.  1985).  Because 
so  many  variations  are  possible,  marking  experi- 
ments are  discussed  only  generally,  stressing 
the  basic  advantages  and  disadvantages  of  mark- 
ing data  relative  to  data  from  unmarked  samples, 
in  deriving  estimates  of  mortality  from  these 
data. 

Size-frequency  distributions  from  unmarked 
subsamples  of  catch  (the  first  type  of  data)  are 
converted  usually  to  age-frequency  distributions, 
on  the  basis  of  previously  determined  relation- 
ships between  age  and  length  or  age  and  weight. 
Subsequent  analyses  concentrate  on  analyzing 
this  resulting  curve  of  age-composition  (e.g., 
Ricker  1975).  Abundance  usually  decreases  expo- 
nentially with  size  (or  age)  in  this  type  of  sample. 
Converting  the  abundances  to  their  logarithmic 
values  often  results  in  a  relatively  linear  decrease 
during  most  exploited  ages  (or  sizes),  after  some 
initial  increase  in  vulnerability.  Graphs  of  these 
logged-frequency  distributions  are  usually  called 
"catch  curves",  and  their  analysis,  "catch  curve 
analysis".  "Catch  curve  analysis"  generally  con- 
sists of  determining  the  best-fit  straight  line 
through  the  decreasing  portion  of  the  logged- 
frequency  distribution,  because  if  the  decrease  in 
abundance  is  truly  exponential,  the  slope  of  this 
line  through  the  log-transformed  data  is  the  in- 
stantaneous rate  of  decrease  in  abundance  (e.g., 
Ricker  1975). 

There  are  two  basic  t3T)es  of  catch  curves,  dis- 
tinguished on  the  basis  of  when  the  data  were 
collected  and  how  many  groups  are  represented  in 
the  curves.  The  first,  horizontal  catch  curves,  in- 
cludes data  from  several  groups  (e.g.,  size  or  age 
classes)  collected  at  a  single  point  in  time  (or  com- 
bined from  two  or  more  points  in  time).  Thus, 
horizontal  catch  curves  reflect  "ancient  history". 
The  individuals  contributing  to  the  frequency  dis- 
tribution were  not  originally  all  members  of  the 
same  group.  To  use  this  type  of  catch  curve,  one 
must  assume  that  for  each  successive  age,  risk  of 
mortality  has  been  historically  the  same  for  all 
individuals  achieving  that  age.  If  this  has  not 
been  the  case,  the  catch  curves  may  show  various 
types  of  curvature  in  the  descending  leg,  but  ab- 
sence of  curvature  is  no  guarantee  that  the  rates 
have  in  fact  been  constant. 


26 


VETTER:  NATURAL  MORTALITY  IN  FISH  STOCKS 


Thus,  horizontal  curves  are  subject  to  the  ex- 
tremely restrictive  assumption  that  the  groups 
from  which  the  data  were  collected  must  be  in 
steady  state  relative  to  each  other,  i.e.,  their  rela- 
tive abundances  must  be  constant  through  time. 
If  this  is  true,  then  a  graph  of  data  collected  at  a 
single  point  in  time,  which  may  include,  for  ex- 
ample, individuals  from  5  consecutive  year 
classes  displayed  as  frequencies  at  5  consecutive 
ages,  will  look  the  same  as  the  5  graphs  of  data 
that  will  result  from  collecting  samples  during  5 
consecutive  years  (ages)  from  each  of  the  5  year 
classes.  If  these  conditions  are  not  met,  simple 
linear  fitting  to  determine  a  single  estimate  for 
mortality  will  be  inappropriate. 

The  second  type  of  catch  curve,  longitudinal, 
includes  data  collected  from  a  single  identifiable 
group  over  a  protracted  period  of  time.  Most  often, 
this  will  be  a  single  cohort  of  fish  such  as  single 
year  class,  sampled  during  successive  years.  Lon- 
gitudinal curves  are  not  subject  to  the  assumption 
of  steady  state,  but  do  share  with  horizontal  catch 
curves  several  other  severe  disadvantages.  These 
include  1)  groups  must  be  adequately  identifi- 
able; 2)  groups  must  be  closed  to  migration,  so 
that  changes  in  abundance  are  due  only  to  fishing 
or  natural  mortality,  or  if  migration  does  occur,  it 
must  occur  in  proportion  to  the  age  distributions 
in  the  local  groups;  3)  samples  must  represent 
adequately  the  true  composition  of  the  groups  in 
nature;  4)  rate(s)  of  mortality  must  be  relatively 
constant  between  groups  over  time,  so  that  the 
log-transformed  frequency  distributions  are  truly 
linear  (e.g.,  Jensen  1984);  5)  compensatory  rela- 
tionships between  stock  levels  and  natural  mor- 
tality, or  fishing  mortality  and  natural  mortality, 
must  not  be  present. 

Methods  for  estimating  M,  which  assume  to 
greater  or  lesser  degrees  that  the  conditions  listed 
above  are  met,  have  been  described  repeatedly. 
The  methods  tend  to  fall  into  two  categories. 
Methods  in  the  first  category  estimate  M  from 
catch  records  of  unexploited  or  lightly  exploited 
groups  of  fish.  In  these  groups,  F  equals  or  ap- 
proximates zero.  Therefore,  the  observed  rate  of 
decrease  (Z )  equals  or  approximates  M,  because  Z 
equals  the  sum  of  F  and  M  (e.g.,  Heincke  1913; 
Baranov  1918;  Ricker  1947;  Beverton  and  Holt 
1957;  Robson  and  Chapman  1961;  Pauly  1982; 
Munro  1982;  and  among  others). 

Methods  in  the  second  category  estimate  M  by 
determining  Z  at  various  levels  of  fishing  effort, 
then  using  the  observed  relationship  between  Z 
and  effort  to  predict,  via  regression  analysis  or 


manipulation  of  various  ratios,  the  value  of  Z 
at  zero  effort  (e.g.,  Silliman  1943;  Beverton  and 
Holt  1957;  Paloheimo  1961;  Lander  1962;  Chap- 
man and  Murphy  1965;  Paulik  and  Robson  1969; 
Gulland  1983;  Butler  and  MacDonald  1979; 
Fournier  and  Archibald  1982;  Caddy  1984;  and 
others). 

These  methods  are  most  appropriate  for  analyz- 
ing catches  of  unmarked  fish.  Accurate  results 
depend  strongly  on  accurate  measures  of  catch 
per  unit  effort  (CPUE)  and  constant  catchability 
(q)  because  if  these  conditions  (in  addition  to 
those  listed  above)  are  not  met,  observed  relation- 
ships between  abundances  in  different  sample 
groups  may  not  reflect  true  differences  between 
groups  in  situ. 

Marked  fish  present  fewer  problems.  Advan- 
tages include  1)  concentration  on  measuring  rela- 
tive rather  than  absolute  differences  between 
abundances  of  different  groups,  2)  immigration 
need  not  be  considered,  as  entire  original  groups 
are  known  to  carry  marks,  and  3)  with  suffi- 
ciently large  samples,  it  becomes  possible  to  test 
for  differences  in  mortality  rate  between  different 
groups  (e.g.,  between  ages,  between  sexes,  or  be- 
tween sampling  sites),  rather  than  having  to  as- 
sume that  such  effects  are  negligible. 

Reviews  and  descriptions  of  various  mark- 
recapture  methods  appear  in  papers  by  Seber 
(1973),  Ricker  (1975),  Jones  (1979),  and  Brownie 
et  al.  (1985).  Some  of  the  newer  types  of  marking 
analyses  can  solve  many  of  the  most  vexing  prob- 
lems associated  with  traditional  catch  curve  anal- 
ysis (e.g..  Reed  and  Davies  1980;  Hochbaum  and 
Walters  1984;  Burnham  and  Andersen  1984; 
Burnham  et  al.  1984;  Brownie  et  al.  1985). 

Several  disadvantages  unique  to  marking  oper- 
ations counteract  these  advantages,  however, 
even  with  the  newer  methods.  These  disadvan- 
tages include  various  types  of  mark-induced 
effects  on  mortality  rates,  behavior,  and  vulnera- 
bility to  capture,  as  well  as  mark  loss,  unrepre- 
sentative mixing  of  marked  fish  with  their  origi- 
nal groups  prior  to  recapture  (e.g.,  Ricker  1975), 
and  especially  in  commercial  fisheries,  under- 
reporting or  incorrect  reporting  of  recaptures. 

Both  analysis  of  catch  curves  from  unmarked 
fish  and  analysis  of  mark-recapture  data  have  the 
advantage  of  requiring  only  catch  (and  usually 
effort)  data,  and  these  data  can  generally  be  col- 
lected by  sampling  catches  from  commercial  fish- 
eries. However,  in  addition  to  problems  specific  to 
each  method,  they  have  in  common  one  or  more 
other  major  disadvantages:  1)  inability  to  distin- 


27 


FISHERY  BULLETIN;  VOL  86,  NO   1 


guish  between  losses  (or  gains)  from  migration  or 
recruitment  versus  losses  due  to  fishing  or  natu- 
ral causes,  2)  imprecision  in  the  estimates  of  M 
obtained  (e.g.,  Beverton  and  Holt  1957;  Taylor 
1958;  Bishop  1959;  Paloheimo  and  Dickie  1966 
Ricker  1975,  1977;  Doubleday  1976;  Pauly  1980 
Larkin  and  Gazey  1982;  Paloheimo  1980,  1982 
Myers  and  Doyle  1983;  Roff  1984),  3)  sensitivity 
to  size-specific  mortality  affecting  the  estimated 
age-structure  of  the  group  (Ricker  1969),  4)  errors 
in  estimates  of  age,  such  that  abundances-at-age 
derived  from  age-length  conversions  are  unrepre- 
sentative, 5)  where  analyses  are  conducted  on 
data  combined  over  two  or  more  cohorts,  the  un- 
likely condition  that  mortality  rates  were  in  fact 
similar  for  all  cohorts,  and  6)  problems  inherent 
in  the  analyses  themselves  (e.g..  Barlow  1984). 
Disadvantages  1,  4,  and  5  may  not  apply  to 
marked  fish.  Disadvantage  5  does  not  apply  to 
single  cohorts.  But  collections  from  marked 
groups  and  single  cohorts  are  still  vulnerable  to 
the  other  problems. 

Further,  although  in  principle  it  would  be  pos- 
sible to  estimate  M  for  different  ages,  times,  or 
places,  most  commonly  in  practice  a  single, 
fishery-wide  constant  M  is  estimated  by  pooling 
data  from  throughout  the  fishery.  By  implication, 
the  analyst  is  assuming  that  the  exploited  stock 
was  more  or  less  in  steady-state  over  all  times  and 
areas  of  catch  so  that  M  was  relatively  constant 
while  that  data  set  was  collected  and  while  (his- 
torically) the  observed  age-distributions  were 
being  created.  In  fact,  substantial  evidence  exists 
that  M  is  not  constant,  either  within  a  single 
stock  over  time  (age)  or  between  stocks  of  a  given 


species  in  different  areas  (Sections  IV  and  V). 

A  final  disadvantage  is  that  catch-curve  analy- 
ses are  fundamentally  unmechanistic,  generated 
simply  by  charting  changes  in  abundance.  Catch- 
curve  analyses  cannot  predict  the  effect  of 
changes  in  factors  that  control  M;  thus  there  is 
little  hope  of  predicting  M  in  the  future  should 
conditions  change. 

Life  History  Methods 

A  second  approach  to  estimating  the  instanta- 
neous rate  of  natural  mortality  in  fish  stocks  is 
based  on  the  observation  that  M  often  correlates 
strongly  with  life  history  parameters,  such  as 
growth  rate,  age  at  sexual  maturity,  costs  of  re- 
production, and  maximum  age  (Table  1). 

Typically  in  such  studies,  analytical  formulas 
are  derived  from  theoretical  relationships  be- 
tween the  various  parameters  (e.g.,  Beverton 
1964),  or  empirical  formulas  are  derived  from  re- 
gression of  M  against  one  or  more  of  the  parame- 
ters (e.g.,  Hoenig  1983).  These  models  have  two 
significant  advantages:  1)  they  require  minimal 
amounts  of  data,  and  2)  they  are  useful  in  demon- 
strating broad  trends  across  species  and  in  devel- 
oping ecological  theory.  But  because  they  produce 
only  a  single  and  often  very  imprecise  estimate  of 
M  for  any  given  group  offish,  they  are  not  partic- 
ularly effective  for  generating  precise  estimates 
of  natural  mortality  or  for  determining  the  exis- 
tence or  extent  of  trends  and  variability  in  M  for 
given  stocks.  They  will  also  be  no  better  than  the 
methods  used  to  estimate  the  values  of  M  used  in 
the  regressions. 


Table  1. — Studies  relating  instantaneous  rate  of  natural  mortality  to  life  history  traits  in  fish. 


Traits 

Species 

Source 

^^max.  ^'f'  ~''-inf'  nietabolic  rate, 

Various 

Beverton  and  Holt  1959 

reproduction 

^max.  !<•  '-inf.  "'-asm.  f'Shing 

clupeids,  engraulids 

Beverton  1963 

^^V,n, 

general 

Ursin  1967 

'max'      'maxbiomass,  '*• 

general 

Alverson  and  Carney  1975 

growth  rate 

young  fish 

Ware  1975 

'-asm.  gonad  size,  condition  factor 

gadoids 

Jones  and  Johnston  1977 

'max 

general 

Blinov  1977 

gonad  body  weight  index. 

Ms/w,  r^3„  /.,„ 

general 

Gunderson  1980 

tV|n(,  L|n),  k.  water  temperature 

175  stocks 

Pauly  1980 

energy  cost  of  reproduction 

general 

Myers  and  Doyle  1983 

max 

various 

Hoenig  1983 

weight 

various 

Peterson  and  Wroblewski  1983 

'<.  '-inf.  '-asm 

various 

Roff  1986 

^Maximum  age, 

2Von  Bertalanffy  growth  parameter. 

3Maximum  length. 

''Length  at  age  of  sexual  maturity. 


^Maximum  weight. 

6Age  at  occurrence  of  cohort's  max  biomass. 

''Age  of  sexual  maturity. 


28 


VETTER:  NATURAL  MORTALITY  IN  FISH  STOCKS 


Predation  Methods 

A  third  class  of  estimators  extends  single  spe- 
cies cohort  analysis  to  a  multispecies  assemblage 
incorporating  the  major  predators  and  alterna- 
tive prey  of  the  stock  in  question.  Single  species 
cohort  analysis  is  used  to  estimate  population 
abundances  and  annual  values  for  the  instanta- 
neous rate  of  fishing  mortality  (F)  for  single 
groups,  usually  year  classes,  of  fish  (e.g.,  Pope 
1972;  Ricker  1975;  Gulland  1983).  The  multispe- 
cies extension  simply  combines  cohort  analyses 
for  several  species  (e.g.,  Anderson  and  Ursin 
1977).  The  methods  all  generate  estimates  of  M  as 
the  sum  of  some  constant  rate  of  nonpredatory, 
nonfishing  mortality  plus  the  total  estimated  flux 
of  prey  (stock)  to  each  of  the  major  predators.  This 
feeding  flux  to  predators  is  estimated  by  first 
using  cohort  analyses  to  reconstruct  population 
sizes  of  the  various  groups  of  predator  and  prey, 
then  combining  these  population  sizes  with  ob- 
served growth  rates  for  the  predators  and  with 
estimated  preferences  for  various  prey.  Thus  it 
becomes  possible  to  estimate  the  predatory  com- 
ponent of  M. 

Versions  of  the  method  have  been  described  by 
Anderson  and  Ursin  (1977),  Majkowski  (1981), 
and  Pope  and  Knights  (1982).  Applications  in  a 
marine  system  (North  Sea)  have  been  described 
by  Anderson  and  Ursin  (1977),  in  an  ecosystem 
context,  by  Laevastu  et  al.  (1982)  and  in  lake 
systems  by  Forney  (1977)  and  Stein  et  al.  (1981). 

The  predation  method  has  been  developed  pri- 
marily from  analyses  of  marine  systems,  espe- 
cially the  North  Sea,  and  much  of  the  literature 
exists  only  as  "mimeos"  or  notes  associated  with 
ICES  (International  Council  for  the  Exploration 
of  the  Seas)  activities.  The  most  readily  available 
discussion  of  this  approach  appeared  in  Mercer 
(1982),  which  includes  a  critical  review  and  dis- 
cussion by  Ursin  (1982)  of  the  various  methods. 
Several  other  discussions  appear  in  Pauly  and 
Murphy's  (1982)  volume  of  collected  papers  from 
a  symposium  on  theory  and  management  of  trop- 
ical fisheries.  Most  of  these  papers  specifically 
address  tropical  multispecies  systems,  but  the 
concepts  are  broadly  applicable.  References  to 
other,  often  less  accessible,  works  can  be  found  in 
these  two  general  references. 

The  predation  method  is  elegant  in  concept  but 
often  difficult  to  apply.  Studies  by  Forney  (1977) 
and  Stein  (1981)  had  the  distinct  advantages  of 
limited  species  numbers  in  a  small  system,  and 
direct  quantification  of  stomach  contents.   Yet 


even  in  lake  systems,  the  sampling  problems  of 
estimating  Z,  population  abundances,  and  so 
forth,  remain  often  as  intractable  as  in  large 
marine  systems.  The  two  greatest  problems  are  1) 
the  difficulty  in  defining  vulnerability  and  prefer- 
ence functions  for  the  various  prey  stocks  (e.g., 
Ursin  1982)  and  2)  the  need  to  include  cohort 
analyses  of  all  the  major  interacting  species,  some 
or  many  of  which  may  not  be  available  commer- 
cially (and  for  which  therefore  data  will  be 
scarce). 

Despite  these  problems  the  approach  can  cer- 
tainly generate,  for  stocks  that  suffer  heavy 
predatory  mortality  from  other  fished  stocks, 
more  realistic  estimates  of  M  than  approaches 
that  simply  generate  a  globally  fixed  and  invari- 
ant M.  More  importantly  (and  in  contrast  to  the 
age-frequency  or  life  history  methods)  the  preda- 
tion method  has  the  advantage  of  being  mecha- 
nistic. Predation-related  causes  and  conse- 
quences of  age,  size,  site,  stock,  geographic,  or 
time  trends  in  M  can  be  investigated  via  pertur- 
bation and  sensitivity  analysis  in  computer  simu- 
lation studies  or,  alternatively,  investigated 
through  analysis  of  existing  catch  data.  It  be- 
comes possible  (not  necessarily  feasible)  to  inves- 
tigate the  implications  of  varying  age  or  abun- 
dance structures  of  interacting  fishery  resources. 

Thus  the  predation  approach  has  considerable 
conceptual  appeal  for  fairly  simple  systems  in 
which  1 )  predation  is  the  major  force  controlling 
prey  abundance,  2)  predators  have  few  alterna- 
tive prey,  3)  the  possibility  can  be  ignored  that 
predators  prefer  moribund  prey  which  were  about 
to  die  anyway,  and  4)  all  major  species  of  predator 
and  prey  are  sought  commercially  so  that  data  on 
abundances  and  feeding  preferences  are  or  can  be 
made  available. 

Unfortunately,  the  number  of  systems  satisfy- 
ing these  requirements  appears  to  be  fairly  small, 
and  of  course  where  predation  is  a  relatively 
small  fraction  of  M,  the  multispecies  predation 
method  will  be  particularly  ineffective. 

III.   SENSITIVITY  OF  FISHERY  MODELS 
TO  CHOICES  FOR  M 

Although  catch-analysis,  life  history,  and  pre- 
dation methods  all  exist  currently  for  estimating 
M  in  fish  stocks,  in  practice  the  only  method  used 
extensively  is  the  first — direct  estimation  of  M 
from  analysis  of  catch  structure.  Thus  the  discus- 
sion below  of  model  sensitivity  to  M  is  based  on 
this  type  of  estimate.  The  conclusions  reached  are 


29 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


not  specific  to  this  one  method.  Model  sensitivity 
to  a  given  derived  value  of  M  will  be  the  same, 
regardless  of  the  method  used  to  derive  the  value. 

General  Patterns 

Sensitivity  analyses  of  M  in  fishery  models 
have  evolved  through  two  phases.  Earlier  studies 
noted  the  influence  of  M  on  estimates  of  maxi- 
mum yield  (Fmax)  or  maximum  yield  per  recruit 
{(Y/R)jnax\  and  on  F^ax  (the  fishing  pressure  re- 
quired to  produce  maximum  yield)  in  Beverton- 
Holt  yield  models  (Beverton  and  Holt  1957;  Hen- 
nemuth  1961;  Francis  1974;  Parks  1977;  Bartoo 
and  Coan  1979;  Bulgakova  and  Efimov  1982). 
More  recently,  as  cohort  analyses  have  become 
more  popular,  more  attention  has  been  directed 
toward  assessing  the  influence  of  M  on  age- 
specific  estimates  of  stock  sizes  (A^, )  and  fishing 
mortalities  (F, )  produced  by  these  models  (Mur- 
phy 1965;  Pope  1971;  Ricker  1971;  Agger  et  al. 
1973;  Doubleday  1976;  Ulltang  1977;  Doubleday 
and  Beacham  1982;  Pope  and  Shepard  1982;  Sims 
1982a,  1982b,  1984).  A  few  other  studies  have 
investigated  the  effect  of  M  on  estimates  of  maxi- 
mum sustainable  yield  (MSY)  or  total  biomass 
(Francis  1976;  Deriso  1982;  Beddington  and 
Cooke  1983;  Tyler  et  al.  1985). 

Most  of  these  studies  have  used  a  single,  invari- 
ant value  for  M .  Model  sensitivity  is  then  as- 
sessed by  comparing  model  results  using  some 
"best"  estimate  of  M,  to  results  using  one  (or 
rarely,  more)  pair(s)  of  M  values  some  arbitrary 
percentage  above  and  below  the  best  estimate. 
Only  a  few  studies  exist  of  the  effects  of  noncon- 
stant  M,  where  M  varies  in  different  groups  of 
fish  within  a  given  stock.  These  include  Beverton 
and  Holt's  (1957)  example  of  density -dependent 
M  in  plaice,  and  several  investigations  of  age- 
specific  M  (Parks  1977;  Ulltang  1977;  Bartoo  and 
Coan  1979;  Sandland  1982;  Bulgakova  and  Efi- 
mov 1982;  Caddy  1984;  Tyler  et  al.  1985). 

No  study  to  date  has  specifically  addressed  the 
problems  of  estimating  values  of  M  for  a  full  fish- 
ery analysis,  leading  from  cohort  analyses  (using 
M  to  estimate  F, ,  Ni ,  and  recruitment  R )  to  esti- 
mates of  yield  or  yield-per- recruit  using  the  same 
M(s)  and  R  subsequently  in  the  Beverton-Holt 
formulas.  Also,  no  study  to  date  has  addressed  the 
possibility  and  consequences  of  differing  patterns 
of  variability  in  M ,  although  it  has  been  sug- 
gested in  one  case  (Ulltang  1977)  that  random 
variations  will  be  unimportant  if  the  rate  is  con- 
stant (on  average)  over  the  fished  ages. 


In  general,  the  earlier  analyses  with  yield  mod- 
els assuming  a  constant  M  show  that  higher  esti- 
mates of  M  lead  to  1)  lower  estimates  of  y^ax  oi" 
iY/R)jnax  (because  fewer  survive  to  be  caught), 

2)  higher  estimates  of  Fj^ax  'yo^J  must  fish  a  bit 
harder  to  catch  a  given  amount  of  those  left),  and 

3)  lower  estimates  of  age  at  first  capture  it^.;  be- 
cause it  pays  to  catch  them  before  they  die,  rather 
than  waiting  for  them  to  grow  bigger  but  less 
abundant). 

Including  density-dependence  tends  to  exag- 
gerate these  trends,  at  least  for  plaice  in  the 
North  Sea  (Beverton  and  Holt  1957).  Including 
age-structured  M  in  yield  models  also  affects  the 
estimates,  but  not  necessarily  in  a  straightfor- 
ward manner.  As  described  below  in  the  section 
on  numeric  results,  change  in  model  output  for  a 
given  change  in  M  depends  not  just  on  the  values 
chosen  for  M,  but  also  on  those  chosen  for  the 
other  parameters.  M  is  not  an  independent 
parameter  in  these  models. 

Analyses  with  cohort  or  virtual  population 
models  which  assume  a  constant  value  for  M 
show  that  in  general  the  effect  of  increasing  M  is 
to  increase  estimates  of  N,  (because  the  higher  M 
is,  the  more  fish  died  in  addition  to  those  being 
caught)  and  to  decrease  estimates  of  F,.  The  data 
show  only  Z ,  which  is  the  sum  of  M  and  F, .  As- 
suming Z  has  been  constant,  a  decrease  in  F, 
requires  an  increase  in  M.  If  Z  has  been  variable, 
the  lower  F,  may  be  explained  on  the  basis  of 
higher  A^,,  a  smaller  proportion  of  which  (F,) 
would  account  for  the  observed  catch. 

The  actual  effect,  particularly  on  estimates  of 
A^,,  is  not  necessarily  that  simple.  As  with  yield 
models,  a  given  change  in  M  does  not  always 
produce  the  same  change  in  model  output.  The 
result  depends  also  on  values  chosen  for  other 
parameters;  M  is  not  an  independent  param- 
eter. 

In  cohort  analysis  the  results  (estimates  of  A'^, 
and  F, )  are  particularly  sensitive  to  the  relative 
sizes  of  F  and  M  (i.e.,  to  the  exploitation  ratio 
E  =  F/(F  +  M)).  The  effect  of  assuming  an  incor- 
rect value  (or  series  of  values)  of  M  tends  to  build 
up  as  the  analysis  proceeds  backward  in  time. 
This  is  because  with  every  time  step  backward 
the  catch  (C)  is  inflated  by  the  factor  M  in  order 
to  estimate  at  that  time  the  size  of  the  entire 
stock,  not  just  the  size  of  the  catch.  That  is 


A^,  =A^,  +  i  +  C,(F,  +M)/F, 
where  F,  satisfies  the  catch  equation 


(1) 


30 


VETTER:  NATURAL  MORTALITY  IN  FISH  STOCKS 


C,  =N,,i  (FJF,  +  A/)(e' 


(2) 


If  M  is  large  relative  to  F  (i.e.,  the  exploitation 
ratio  is  low),  then  errors  in  A^,  can  increase  pro- 
gressively and  become  quite  large  at  the  younger 
ages  (e.g.,  Agger  et  al.  1973;  Murphy  1965;  Ull- 
tang  1977;  Sims  1982a,  1982b,  1984). 

Numeric  Results 

Although  general  responses  of  various  models 
can  be  determined  simply  by  inspection  of  the 
analytic  models  themselves,  the  quantitative 
change  to  expect  in  the  result  (output)  for  a  quan- 
tified change  in  M  (input)  is  not  always  immedi- 
ately obvious.  This  is  because  M  tends  to  occur 
more  than  once  in  various  formulas.  For  example, 
M  appears  in  both  the  numerator  and  denomina- 
tor in  the  solution  to  the  Beverton-Holt  yield 
equation  (Ricker  1975). 

Y  =  FA^oe'-^'-WxdAM  +  F) 

-3e'-*'"V(M  +F  +  k) 

+  3e(-2*^V(M  +F  +  2k) 


e'-s^'-'/CM  +F  ^3k)). 


(3) 


So,  rather  than  derive  analytical  expressions 
(e.g.,  Sims  1984),  I  resort  below  to  a  simpler  ap- 
proach. Sensitivity  of  fishery  models  to  changes  of 
given  magnitude  in  M  is  assessed  by  comparing 
percent  change  reported  in  model  response  (out- 
put) to  percent  change  in  M  (input).  In  cases  for 


vector  (age  or  density-dependent)  M,  I  have 
merely  described  the  shape  of  the  M -vector.  For 
these  different  vectors,  I  report  the  percent 
change  in  the  result  due  to  switching  from  a  vec- 
tor of  one  shape  to  a  vector  of  another  shape. 

Yield  Models 

At  least  four  studies  (Beverton  and  Holt  1957; 
Hennemuth  1961;  Francis  1974;  Bartoo  and  Coan 
1979)  have  shown  that  errors  in  estimates  of 
M  propagate  into  roughly  equal  errors  in  esti- 
mates of  (y//?  )maxj  but  with  sign  reversed  (Table 
2).  For  example,  a  10%  overestimate  in  M  will 
lead  to  approximately  10%  underestimate  of  (Y/ 
R  'max-  An  equally  important  result  is  that  the 
actual  magnitude  of  the  effect  induced  depends 
strongly  not  just  on  the  error  in  M,  but  on  the 
values  chosen  for  the  other  parameters  in  the 
model. 

In  another  study,  Beddington  and  Cooke  (1983) 
used  the  Beverton-Hol  formulation  to  investi- 
gate the  influence  of  M  (constant;  0.1  to  0.8 
year"M,  t^  (0  to  4  years),  and  K  (the  von  Berta- 
lanffy  growth  parameter;  0.1  to  0.5  year"M  on 
MSY  (maximum  sustainable  yield),  expressing 
the  result  as  "MSY  as  a  %  of  Bq,"  where  Bq  is  the 
initial  or  recruited  biomass.  Higher  percentages 
indicate  that  more  of  the  original  biomass  is 
being  taken  at  MSY.  Increasing  M  by  a  factor  of 
8  (0.1  to  0.8  year-i)  increased  MSY/Bq  by  a  factor 
of  about  4  to  8,  depending  on  the  particular  values 
of  tf.  and  K.  Again,  errors  in  M  produced  roughly 
the  same  relative  error  in  the  result;  and  again 
the  actual  effect  of  any  given  change  in  M  de- 


Table  2— Sensitivity  of  estimated  maximum  yield  per  recruit  ((V/Rj^ax)  'o  changes  in  instantaneous 
rate  of  natural  mortality  (M)  and  other  input  conditions.  Sensitivity  of  (>^'W)max  ^^d  of  changes  in  Ware 
expressed  as  percentage  difference  from  nominal  responses  at  nominal  (best-guess)  M.  Symbols 
are:  t^  =  age-at-first-capture,  F  =  instantaneous  rate  of  fishing  mortality,  M  =  nominal  value  for 
M.  Frances  (1974)  used  an  age-structured  simulation  model.  All  other  citations  used  standard  yield- 
per-recruit  analyses. 


Input  conditions 


%  change       %  change  in 

in  M  (^/'^Jmax  Species 


Source 


fc  =  constant  (3.72) 
F  =  variable 
/W  =  0.10 

-1-50 
-50 

-20 
-^30 

fp  =  variable 

F  =  constant  (0.73) 

M  =  0.10 

-1-50 
-50 

-60 

-^50 

F  =  constant  (0.95) 
M  =  0.8 

+  20 
-20 

-21 
+  32 

/W  =  0.8 

-HO 
-10 

-14 
-M6 

M  =  0.60 

+  2b 

-20 

plaice 


plaice 


Beverton  and  Holt  1957 


Beverton  and  Holt  1957 


yellowfin  tuna       Hennemuth  1961 
yellowfin  tuna       Francis  1974 
yellov\rfin  tuna       Bartoo  and  Coan  1979 


31 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


pended  on  the  values  chosen  for  the  other 
parameters. 

Pope  and  Garrod  (1973)  present  another  exam- 
ple of  sensitivity  in  MSY  to  values  chosen  for  M. 
They  describe  briefly  the  consequences  of  using 
an  incorrect  constant  for  M  of  cod  stocks  when 
estimating  the  F  required  to  generate  MSY 
(Fmsy*-  Underestimating  M  by  507r  (assumed 
M  =  0.1  year^^;  true  M  =  0.2  year"M  leads  to  a 
choice  of  Fmsy  that  is  67%  too  high.  Overestimat- 
ing M  by  50%  (assumed  M  =  0.3  year  ^  true 
M  -  0.2  year"M  underestimated  Fmsy  by  50%. 

The  simulations  described  above  tested  the  ef- 
fects of  choosing  alternative  constant  values  for 
M.  Choosing  a  vector  alternative  can  also  have 
significant  effects;  again,  the  magnitude  of  the 
effect  depends  on  the  values  chosen  for  other 
parameters.  Beverton  and  Holt  (1957)  showed 
that  incorporating  density-dependence  in  M  for 
plaice  decreased  (y/i?)max  by  12%,  when  holding 
tc  constant  at  3.72  years  and  letting  F  vary.  Con- 
versely, holding  F  constant  and  letting  t^,  vary 
decreased  {Y/R  )max  by  about  37%. 

Age-dependent  values  for  M  were  compared 
with  age-constant  values  by  Bartoo  and  Coan 
(1979),  Bulgakova  and  Efimov  (1982),  and  Tyler 
et  al.  (1985).  In  their  analysis  of  Atlantic  yel- 
lowfin  tuna  stocks,  Bartoo  and  Coan  found  that 
replacing  an  assumed  constant  M  of  0.8  year"^ 
with  an  age-structured  M  increasing  from  0.1 
year~^  at  age  0  to  1.2  year~^  at  age  7,  increased 
(Y/R  )max  by  17%  (from  6  to  7  kg). 

Estimating  total  yield  (7,)  rather  than  {Y/R  ) 
and  estimating  R  as  a  function  of  constant  versus 
age-specific  M  in  analysis  of  catch  curves  for  rela- 
tively unexploited  stocks  of  Pacific  ocean  perch 
and  Oregon  hake,  Bulgakova  and  Efimov  (1982) 
found  that  replacing  a  constant  (age-averaged)  M 
with  age-variable  M  tended  to  increase  estimated 
Yi  when  fish  recruited  fairly  late  to  the  fishery, 
but  decreased  Yf  if  the  fish  recruited  early.  This  is 
because  of  the  interaction  between  the  values  as- 
sumed for  M  (constant  or  age-variable)  and  the 
value  calculated  for  R  from  each  type  of  mortality 
curve. 

Starting  with  a  given  value  for  recruitment  at 
age  6  years  (from  Efimov  1976),  they  calculated  R 
twice  for  ages  4  and  8  years — once  with  age- 
averaged  M  and  once  with  age-specific  M.  Be- 
cause in  this  set  of  data  the  age-averaged  M  was 
generally  higher  than  the  age-specific  M  at  the 
tested  ages  of  recruitment  (ages  4,  6,  or  8  years), 
back-calculations  with  age-averaged  (i.e.,  con- 
stant) M  predicted   fewer  recruits   than   back- 


calculations  with  age-specific  M.  With  fewer  re- 
cruits and  generally  higher  M ,  potential  yield  at 
later  ages  obviously  must  drop.  Differences  in 
predicted  potential  yield  ranged  from  about 
-30%  at  ^4  (age-specific  estimate  lower  than  age- 
averaged  estimate,  when  fish  were  assumed  to 
recruit  to  the  fishery  at  age  4  years)  to  +15%  at 
^6  (age-specific  estimate  higher)  and  to  +60%  at 

Tyler  et  al.  (1985)  tested  (among  other  things) 
the  effects  of  ignoring  "true"  age-structure  in  M 
and  using  instead  a  constant  value  in  estimating 
stock  biomass  using  Deriso's  (1980)  delay- 
difference  model.  They  did  the  tests  on  catch  data 
generated  by  Walter's  (1969)  age-structured  sim- 
ulation model  of  cod,  using  three  different  (input) 
age  structures  for  M  in  Walter's  model.  After  gen- 
erating "catch  data"  from  Walter's  model,  they 
analyzed  the  simulated  data  set  using  Deriso's 
model  with  constant  M  (=  0.5  year~^).  The  age 
structures  tested  were  1)  mortality  increasing 
and  then  decreasing  with  age  (Walter's  original 
mortality  vector  spanning  ages  3  to  12  years;  age- 
averaged  M  =  0.55  year~\  range  =  0.33  to  0.70 
year~^),  2)  mortality  increasing  with  age  (ages  7 
to  12  years;  average  M  =  0.5  year~^,  range  0.3  to 
0.7  year"^)  and  3)  mortality  decreasing  with  age 
(ages  7  to  12  years;  average  M  =  0.5  year"\ 
range  0.7  to  0.3  year  M.  In  all  three  cases  Deriso's 
model  with  constant  M  misestimated  the  "true" 
biomass  generated  by  Walter's  model  (with  age- 
structured  values  for  M).  The  differences  were 
relatively  small,  however:  —13%  for  the  increas- 
ing and  then  decreasing  series,  +19%  for  the  de- 
creasing series,  and  +4%  for  the  increasing 
series.  These  differences  were  due  to  the  differ- 
ences in  M,  and  not  the  differences  in  model 
structure;  generating  and  analyzing  biomass 
with  the  same  constant  M  in  both  models  led  to  a 
discrepancy  of  only  0.5%. 

By  analogy  to  life  history  patterns  in  other 
adult  animals,  M  (after  recruitment  into  most 
fished  stocks)  is  more  likely  to  increase  with  age 
than  to  cycle  or  decrease.  By  implication,  the  sim- 
ulation results  from  the  increasing  series  are 
probably  most  realistic.  If  so,  the  effects  of  ignor- 
ing age-structure  in  favor  of  using  a  constant  M 
may  be  relatively  small  (5  to  20%),  at  least  for  the 
cod  stock  simulated  in  this  study.  But  the  results 
obviously  depend  again  not  just  on  correctly 
choosing  the  values  for  M,  but  on  the  values  cho- 
sen for  the  other  parameters.  In  this  case,  Tyler  et 
al.'s  (1985)  results  imply  that  age-structure  in  M 
can  be  relatively  unimportant,  at  least  when  the 


32 


VETTER:  NATURAL  MORTALITY  IN  FISH  STOCKS 


assumed  constant   is  evenly   bracketed   by   the 
"true"  age-structure  in  M . 

Further  simulations  by  Tyler  et  al.  (1985)  using 
a  wide  range  of  constant  values  for  M  (0.4  to  1.4 
year  M  and  the  growth  rate  parameter  rho 
(mean  Ford  growth  coefficient  for  the  fishable 
stock;  0.46  to  1.6)  showed  that  incorrect  guesses  of 
M  (and  rho)  could  produce  errors  up  to  1,000^^  in 
estimated  biomass.  More  realistic  ranges  for  the 
two  parameters  (0.4  to  0.8  year"  ^  forM,  0.6  to  1:2 
for  rho),  extending  about  509r  above  and  below 
the  "true"  values  for  these  parameters,  induced 
much  lower  error  in  biomass  estimates  (about  the 
same  order  of  magnitude,  50  to  100%  below  and 
above  the  "true"  biomass).  As  before,  changes 
(errors)  of  a  given  amount  in  M  (expressed  as 
fraction  or  percentage  of  the  original  value)  ap- 
pear to  produce  about  the  same  amount  of  change 
(expressed  as  percent  of  original  value)  in  simple 
estimates  of  yield,  depending  on  the  conditions  of 
other  parameters  in  the  model. 

Chatwin  (1958)  compared  estimates  of  Yj^ax 
from  lingcod  populations.  Rather  than  compare 
constant  and  age-variable  values  for  M,  he  as- 
sumed several  different  values  for  an  average 
(constant)  M  in  adults,  but  assumed  that  M  in- 
creased from  the  assumed  average  for  adults  to 
higher  values  in  both  juveniles  and  senescent 
fish.  He  reports  no  quantitative  results  but  states, 
as  found  above,  that  increasing  the  average  M, 
for  a  given  F,  considerably  decreased  l^max'  that 
decreasing  M  increased  Yrna-x'  snd  that  size  at 
first  capture  changed  relatively  little  with  those 
changes  in  M. 

These  comparisons  between  age-structured 
versus  constant  M,  or  between  different  constants 
have  demonstrated  that  effects  on  results  can  be 
large  for  some  combinations  of  parameters  yet 
small  for  others.  Alternative  choices  drawn  from 
apparently  realistic  parameter  values  lead  to  rel- 
atively small  differences  in  estimates  of  M. 
Specific  amounts  of  change  depend  strongly  not 
only  on  the  values  chosen  for  M,  but  also  on  the 
value  of  M  relative  to  values  chosen  for  the  other 
interacting  parameters  in  the  yield  models.  For 
most  choices  of  parameter  values,  sensitivity  of 
output  is  roughly  equal  to  perturbation  of  input. 

Cohort  Analyses 

Effects  of  interactions  between  changes  in  M 
and  values  chosen  for  other  parameters  is  even 
more  obvious  in  stock  reconstruction  analyses 
(e.g.,  cohort  analysis  and  virtual  population  anal- 


ysis (VPA)).  These  analyses  are  used  to  "recon- 
struct" estimates  of  stock  abundance  during  pre- 
vious years,  based  on  catch  data  and  assumptions 
about  the  value(s)  of  M  during  those  previous 
years.  Studies  of  sensitivity  to  M  in  Beverton- 
Holt  types  of  yield  or  biomass  assessments  were 
usually  empirical,  based  on  analyses  of  catch  data 
from  specific  fisheries.  Studies  of  sensitivity  to  M 
in  VPA  and  cohort  analysis  include  both  theoret- 
ical and  empirical  studies;  i.e.,  simulations  using 
totally  contrived  data  sets  (e.g..  Agger  et  al. 
1973),  analyses  of  specific  data  sets  (e.g..  Pope 
1971;  Doubleday  and  Beacham  1982)  and  combi- 
nations of  analytical  evaluations  and  analysis  of 
specific  data  sets  (e.g.,  Doubleday  1976;  Ulltang 
1977;  Sims  1982a,  1982b,  1984). 

Simple  analyses  of  sensitivity  to  M,  in  which  M 
is  varied  but  all  else  is  held  constant,  include 
1)  Pope's  (1972)  analysis  of  Atlantic  yellowfin 
tuna,  in  which  he  found  that  replacing  constant 
M  with  age-structured  M  (higher  Ms  for  older 
fish)  produced  lower  estimates  for  fishing  mortal- 
ity {F, )  in  the  later  ages,  but  had  little  effect  on 
estimates  for  the  younger  ages,  and  2)  Doubleday 
and  Beacham's  (1982)  statement  that  I07c  error 
in  constant  M  translated  into  9  to  149f  error  in 
estimates  of  i?  (at  age  3)  for  cod  in  the  Gulf  of  St. 
Lawrence. 

Somewhat  more  complicated  analyses  are  pre- 
sented by  Ulltang  ( 1977 )  and  Sims  ( 1982a,  1982b, 
1984).  Ulltang  evaluated  the  effects  on  model  pre- 
dictions of  F,  and  A'^, ,  of  several  types  of  variation 
in  M.  These  included  no  variation  (uniformly  con- 
stant M),  M  constant  within  years  but  varying 
randomly  between  years,  M  varying  with  age, 
and  M  varying  with  season.  Sims  evaluated  the 
effects  of  choosing  various  constants  for  M  on  esti- 
mates of  A'^,,  and  derived  an  analytical  expression 
relating  variance  in  M  to  expected  variance  in 
estimates  of  abundance. 

In  Ulltang's  simulations,  increasing  (decreas- 
ing) a  constant  M  by  50*^  (from  0.2)  decreased 
(increased)  F  by  about  207c  ("true"  F's  ranging 
from  0.4  to  0.8).  Creating  a  data  set  with  M  vary- 
ing randomly  from  one  year  to  the  next,  then  an- 
alyzing those  data  with  an  assumed  constant  M, 
Ulltang  (1977)  found  that  the  Z  calculated  from 
the  constant-M  model  was  on  average  the  same  as 
the  "true"  Z  from  the  random-M  model.  He  con- 
cluded that  random  fluctuations  in  M  will  cancel 
out  during  analysis  and  so  can  be  ignored.  Ull- 
tang assessed  the  influence  of  age-dependent  M 
compared  with  constant  M  by  generating  a  catch 
curve  with  age-variable  M  (decreasing  curvilin- 


33 


FISHERY  BULLETIN:  VOL  86,  NO   1 


early  from  0.3  at  age  1  to  0.1  at  age  10,  average 
about  0.2)  and  F  equal  to  0.2,  then  analyzing  the 
catch  with  F  equal  to  0.2  or  0.6,  and  M  equal 
either  to  0.1  or  0.2.  Choice  of  M  made  little  differ- 
ence in  estimates  of  stock  size  for  the  case  of  high 
F  (0.6),  because  most  of  the  deaths  were  due  to 
(observed)  fishing.  When  F  was  low  (0.2),  stock- 
size  estimates  were  much  more  sensitive  to  incor- 
rect choices  for  M ,  because  most  of  the  deaths 
were  due  in  this  case  to  M,  which  was  unmea- 
sured and  therefore  unobserved. 

Ulltang  (1977)  simulated  seasonal  changes  in 
M  by  concentrating  all  deaths  in  either  the  first  or 
last  quarter  of  a  year.  Estimated  stock  sizes  (N, ) 
changed  relatively  little;  with  F  =  1.2  and 
M  -  0.4,  A'^,  was  a  maximum  of  10%  higher  if  all 
deaths  occurred  first  quarter,  10%  lower  if  all  oc- 
curred in  the  last  quarter. 

A  serious  problem  with  the  conclusions  reached 
by  Ulltang  (1977)  is  also  common  to  all  the  other 
studies  discussed  above;  they  are  based  on  rela- 
tively few  combinations  of  values  for  the  various 
parameters,  and  relatively  few  simulations.  For 
example,  the  conclusion  that  random  errors  in  M 
will  tend  to  even  out  is  intuitively  attractive,  pro- 
vided the  time  scale  of  variation  is  short  relative 
to  the  generation  time  of  the  fish.  In  fact  random 
variation  in  M  did  even  out  in  the  two  sets  of 
simulations  he  conducted.  But  the  examples  he 
chose  included  only  one  set  of  ages  (2  to  10  years), 
with  relatively  high  values  of  F  (0.5  to  0.8  year"^) 
compared  to  the  values  tested  for  M  (0.1,  0.3 
year"M.  The  gravity  of  consequences  from  choos- 
ing an  incorrect  M  depends  very  heavily  on  the 
size  of  M  relative  to  the  size  of  F,  i.e.,  on  E.  Had 
he  chosen  different  values  for  his  simulations,  he 
might  have  reached  very  different  conclusions. 
This  is  probably  the  basis  for  the  discrepancy  be- 
tween Ulltang's  conclusion  that  seasonal  effects 
are  minor,  versus  Sims'  (1984)  conclusion  that 
seasonal  effects  can  be  quite  large,  if  M  is  high. 

Sims  (1984)  attempted  to  overcome  this  prob- 
lem (trying  to  draw  general  conclusions  from  the 
results  of  simulations  based  on  particular,  or  rel- 
atively few,  sets  of  parameters)  by  analytically 
deriving  formulas  for  relative  error  in  stock-size 
estimates,  and  then  testing  the  formulas  with 
data  from  actual  fisheries.  He  used  this  approach 
twice:  once  to  assess  the  effects  of  seasonality 
(Sims  1982a)  and  once  to  consider  in  general  the 
effects  of  different  choices  (errors)  for  constant  M 
(Sims  1984).  But  his  results  (and  equations  for 
error)  show  clearly  that  error  in  estimated  stock 
sizes  depends  on  several  parameters  and  that  the 


effects  of  one  can  be  strongly  dependent  on  the 
values  chosen  for  the  others.  Choosing  a  high  M 
(0.6  year~M  and  concentrating  catch  during  the 
first  quarter  of  the  year  overestimated  R  by  20%; 
concentrating  catch  during  the  last  quarter 
underestimated  R  by  23%  (compared  with  the 
10%  error  found  by  Ulltang). 

Within  the  same  analysis,  reducing  M  by  half 
(to  0.3  year^  ^)  reduced  the  error  in  R  by  half,  but 
the  same  reduction  of  error  inR  was  also  achieved 
by  leaving  M  high  and  reducing  F .  In  assessing 
specifically  the  effects  of  error  in  M  on  error  in  R , 
Sims  (1984)  showed  very  different  effects  on  esti- 
mates of/?  in  heavily  fished  versus  lightly  fished 
cohorts  of  Atlantic  bluefin  tuna.  Changing  M  by 
50%  led  to  changes  in  estimated  R  of  60  to  260% 
in  the  lightly  fished  cohort,  but  only  to  relatively 
smaller  changes  of  35  to  70%  in  the  heavily  fished 
cohort.  Again,  the  magnitude  of  the  error  in 
model  predictions  depended  not  just  on  the  mag- 
nitude of  M,  but  on  its  relationship  to  the  other 
parameters  in  the  catch  equation,  particularly  F. 

Errors  (expressed  as  percentage  change  in  out- 
put for  a  given  change  in  input)  in  model  output 
in  the  simulations  described  above,  all  of  which 
tried  to  use  apparently  realistic  values  for  model 
parameters,  rarely  exceeded  50%,  and  were  often 
less  than  the  error  introduced  into  values  chosen 
for  M .  By  implication,  the  effects  of  incorrectly 
guessing  M  may  be  relatively  unimportant  if  M  is 
relatively  small  (e.g.,  in  this  situation  not  more 
than  about  0.5  year"M  and  relatively  invariant, 
although  the  actual  magnitude  of  effect  due  to 
any  given  percentage  change  in  M  depends  on  the 
values  chosen  for  other  parameters. 

So,  inaccurate  estimates  of  M  might  be  impor- 
tant or  they  might  not.  It  all  depends  on  the  mag- 
nitude and  variability  of  M  within  a  given  stock 
(or  group).  Although  untested,  it  seems  likely 
that  estimates  of  M  for  groups  in  which  M  varies 
little  and  is  relatively  low,  are  more  likely  to  be 
reasonably  accurate  than  estimates  of  M  from 
groups  in  which  M  is  large  and  variable.  The  fol- 
lowing section  reviews  evidence  that  M  does  in 
fact  vary  both  within  and  between  groups  of  fish, 
and  the  succeeding  section  reviews  evidence  for 
the  magnitude  of  that  variability  in  ostensibly 
similar  groups. 

IV.   FACTORS  INFLUENCING  DEATH 
RATE 

Despite  the  fact  that  in  most  fishery  models,  M 
is  assumed  to  be  constant  for  all  exploited  ages  in 


34 


VETTER;  NATURAL  MORTALITY  IN  FISH  STOCKS 


any  given  stock,  abundant  evidence  exists  to  the 
contrary.  Natural  mortality  has  been  shown  to 
vary  with  age,  density,  disease,  parasites,  food 
supply,  predator  abundance,  water  temperature, 
fishing  pressure,  sex,  and  size.  Evidence  for  rela- 
tionships between  these  factors  and  M,  and  se- 
lected references  for  each,  are  presented  below. 

Changes  in  mortality  rate  with  age,  within  sin- 
gle groups  of  fish,  have  been  demonstrated  and 
discussed  more  frequently  than  changes  with  any 
other  factor.  References  include,  among  others, 
Baranov  (1918,  plaice),  Sette  (1943,  Atlantic 
mackerel),  Ricker  (1945,  1947,  lake  fish;  1969, 
1975,  various  species),  Beverton  and  Holt  (1959, 
many  species  of  marine  fish),  Beverton  (1963,  en- 
graulids  and  clupeids),  Boiko  (1964,  sturgeon). 
Gushing  (1975,  plaice),  Blinov  (1977,  fish  in  gen- 
eral), Bulgakova  and  Efimov  (1982,  Oregon  hake 
and  sea  perch),  Sandland  (1982,  fish  in  general). 
Smith  (1985,  clupeoids),  Roff  (1986,  fish  in  gen- 
eral). Evidence  for  changes  with  senescence  for 
fish  in  general  has  been  discussed  or  documented 
by,  among  others,  Woodhead  (1979)  and  Craig 
(1984). 

Although  specific  patterns  vary  with  species 
(e.g.,  Woodhead  1979),  in  general  M  is  extremely 
high  during  egg  and  larval  stages  (e.g.,  2  to  10% 
per  day  in  plaice  and  clupeoids  (Cushing  1975; 
Smith  1985)),  falls  precipitously  during  the  juve- 
nile period,  becomes  relatively  stable  during  in- 
termediate adult  ages  and  increases  again  with 
senescence.  But  even  during  these  relatively  sta- 
ble mid-adult  ages,  changes  in  M  with  age  can  be 
substantial,  particularly  in  short-lived  fish  (e.g., 
Ricker  1947,  stunted  versus  "normal"  whitefish). 

Changes  in  natural  mortality  rate  with  size 
(rather  than  age)  within  single  groups  of  fish 
(usually  stocks),  have  been  discussed  by  Baranov 
(1918,  plaice),  Ricker  (1969,  size-selective  mortal- 
ity in  general).  Ware  (1975,  larval  fish),  and 
Peterson  and  Wroblewski  (1984,  many  species). 
Differences  in  natural  mortality  rate  between 
populations  of  the  same  species  in  different  envi- 
ronments, or  even  in  different  areas  of  a  single 
environment  (e.g.,  a  single  lake)  are  documented 
by  Ricker  (1947),  Kennedy  (1954),  and  Schupp 
(1978).  Year-to-year  differences  in  natural  mor- 
tality rates  of  single  stocks  from  a  given  area  are 
shown  by  Pope  and  Knights  (1982,  plaice)  and  by 
Henderson  et  al.  (1983,  whitefish).  Density- 
dependent  changes  in  M  are  discussed  by  Bever- 
ton and  Holt  (1957),  Cushing  (1967),  Tyler  and 
Gallucci  (1980),  Backiel  and  LeCren  (1978),  Jones 
(1982),   and  others.   Differences  in  M  between 


sexes  have  been  documented  by  Beverton  and 
Holt  (1957,  plaice),  Ricker  (1947,  rock  bass),  and 
others.  Changes  in  natural  mortality  rate  related 
to  the  cost  of  reproduction  have  been  discussed 
by  Jones  and  Johnston  (1977),  Roff  (1984),  and 
others. 

Other  factors  that  affect  M  either  alone  or  in 
combination  with  other  factors  include  disease 
and  parasitism  (reviewed  by  Lester  1984),  starva- 
tion (Hewitt  et  al.  1985;  Theilacker  1986:  larval 
anchovy),  physiological  state  (Smith  1985),  and 
fishing  pressure  (Ursin  1982;  Munro  1982).  Addi- 
tional examples  are  cited  by  Beverton  and  Holt 
(1957),  Anderson  and  Ursin  (1977),  Sissenwine 
(1984),  and  Hunter  (1984). 

Most  of  the  factors  listed  above  (e.g.,  age,  size, 
sex)  are  indirect  influences  on  M .  The  most  im- 
portant factor  directly  affecting  natural  mortality 
rate  is  probably  predation;  this  is  implied  by  a 
large  body  of  literature  describing  changes  in 
prey  community  composition  and  abundance  fol- 
lowing changes  in  composition  and  abundance  of 
predators  (e.g.,  Carpenter  et  al.  1985). 

Direct  evidence  that  predators  account  for  most 
natural  mortality  in  fish  stocks  is  difficult  to 
gather  (Section  II).  To  quantify  the  fraction  of  M 
due  to  predation,  one  must  know,  not  only  rela- 
tive changes  in  abundance,  but  absolute  popula- 
tion density  of  all  predators  and  prey  together 
with  consumption  rates  and  prey  preferences  of 
all  the  predators.  Although  this  is  rarely  possible, 
at  least  two  studies  from  freshwater  systems  do 
present  quantified  estimates  of  predatory  mortal- 
ity in  relation  to  available  prey.  Forney  (1977) 
quantified  predation  mortality  in  a  relatively 
simple,  unmanipulated  lake  system  where  there 
were  few  species  of  predator  and  prey.  Combining 
stomach-content  estimates  of  prey  consumed  with 
trawl-sample  estimates  of  predator  and  prey 
abundance,  he  concluded  that  30  to  100%  of  yel- 
low perch  production  was  consumed  by  walleye, 
their  principal  predator.  In  a  manipulated  sys- 
tem. Stein  et  al.  (1981)  assessed  predatory  mor- 
tality of  young  tiger  muskellunge  after  they  were 
stocked  in  a  small  pond  and  lake.  During  the  time 
of  the  study,  a  single  predator  (largemouth  bass) 
accounted  for  25  to  45%  of  losses  to  natural  mor- 
tality. 

In  marine  systems  evidence  for  the  relative  im- 
portance of  predation  can  be  gleaned  from  com- 
paring total  natural  mortality  with  estimated 
predatory  mortality  based  on  abundance  of  preda- 
tors and  feeding  preferences.  For  example,  multi- 
species  cohort  analyses  reported  by  Pope  and 


35 


FISHERY  BULLETIN:  VOL.  86,  NO.  I 


Knights  ( 1982)  show  predatory  mortality  as  80  to 
909c  of  M  for  age-0  cod,  whiting,  and  haddock  in 
the  North  Sea  (the  fraction  of  M  due  to  predatory 
mortahty  cannot  be  assessed  accurately  in  the 
older  ages  because  predators  appropriate  to  these 
sizes  were  not  included  in  the  analysis).  In  an- 
other example,  estimating  M  from  energy  flow 
models,  Sissenwine  (1984)  demonstrated  that 
predation  in  the  Georges  Bank  ecosystem  can  ac- 
count for  all  production  by  prey  fish;  nonpreda- 
tory  mortality  was  negligible. 

Thus  a  multitude  of  factors,  acting  alone  or  in 
concert,  can  be  expected  to  produce  variations  in 
M  between  individuals  within  single  groups  of 
fish,  as  well  as  between  groups.  Differences  can 
be  expected  between  species,  between  stocks 
within  species,  and  from  place-to-place  and  time- 
to-time  within  given  stocks.  In  the  following  sec- 
tion, I  will  review  more  completely  existing  evi- 
dence for,  and  the  extent  of,  this  expected 
variability  in  M . 

V.  VARIABILITY  WITHIN  AND 
BETWEEN  GROUPS 

As  discussed  above  (Section  III),  simulation 
studies  generally  show  that  effects  of  choosing  a 
particular  value  or  set  of  values  for  M  can  range 
from  insignificant  to  considerable,  depending  in 
part  on  the  model  used,  in  part  on  the  values 
chosen  for  other  parameters,  and  in  part  on  the 
form  chosen  for  the  estimate(s)  of  M.  Authors 
suggest  that  in  the  future,  simulations  should  be 
conducted  with  a  range  of  values  for  M,  to  bracket 
probable  values  (e.g.,  Beverton  and  Holt  1957; 
Tyler  et  al.  1985). 

The  problem  with  this  advice  is  identifying  the 
appropriate  range  and  distribution  of  M  for  any 
given  group  offish.  Obviously,  wide  ranges  for  M 
will  lead  to  great  discrepancies  between  model 
predictions  based  on  one  end  of  the  range  or  the 
other.  It  has  been  shown  above,  however,  that 
model  output  can  be  relatively  insensitive  to 
small  changes  in  M .  This  is  particularly  true  if  F 
is  much  larger  than  M  (i.e.,  if  the  stock  is  highly 
exploited  so  that  losses  to  fishing  far  exceed  losses 
to  natural  mortality).  The  problem  is  determining 
whether,  for  a  given  stock  in  situ,  changes  in  M 
are  in  fact  large  or  small.  Compensatory  changes 
in  M,  in  response  to  changes  in  F,  will  further 
confound  the  problem,  because  variations  in  M 
will  then  be  a  function  of  the  value(s)  of  F,  in 
addition  to  the  suite  of  other  factors  that  may  be 
affecting  estimates  of  M . 


M  does  appear  to  vary  considerably  between 
groups  offish.  Estimates  of  M  compiled  by  Pauly 
(1980)  (Fig.  1)  for  175  stocks  and  species  offish 
worldwide  differ  greatly  between  groups,  ranging 
from  a  minimum  of  about  0.1  year"^  to  several 
unusual  values  as  high  as  7.0  year  ^  Even 
within  a  group  as  ostensibly  homogeneous  as  the 
tunas,  the  range  of  estimated  mortality  constants 
spans  the  majority  of  the  common  values  (0.2  to 
2.0  year"i.  Murphy  and  Sakagawa  1977). 

Estimates  of  variability  in  M  within  groups  of 
fish  are  much  less  common,  but  are  actually  more 
important  than  the  obvious  differences  between 
groups  with  obviously  different  characteristics 
such  as  differing  lifespans.  Most  fishery  analyses 
are  directed  toward  understanding  or  predicting 
dynamics  of  single  stocks  (single  groups  offish). 
The  most  important  considerations  for  natural 
mortality  parameter  values  in  these  single- 
species  analyses  are  whether  and  if  so  over  what 
values  M  varies  for  the  group  of  fish  in  question. 

But  measuring  trends  or  variability  in  natural 
mortality  rates  withingiven  groups  (e.g.,  stocks) 
is  difficult  and,  with  the  exception  of  trends  with 
age,  rarely  attempted.  This  is  primarily  because 
the  only  extant  methods  for  estimating  M  depend 
either  directly  or  indirectly  on  analysis  of  catch 
data  (Section  II),  and  catch  data  are  prone  to 
many  well  known  (but  largely  unsolved)  prob- 
lems. 

Problems  with  analysis  of  catch  data  fall  into 
two  general  categories:  1)  problems  with  sam- 
pling procedure,  such  that  fish  are  caught  or 
counted  out  of  proportion  to  their  true  abundance 
and  2)  problems  with  fish  appearing  or  disappear- 
ing from  the  "unit  stock"  due  to  causes  other  than 
birth  or  natural  mortality  (i.e.,  migration,  fishing 
mortality,  or  tagging  mortality),  again  resulting 
in  catch  data  that  do  not  represent  the  true  struc- 
ture of  the  stock.  If  sampling  biases  can  be  over- 
come, the  problem  reduces  to  partitioning  total 
disappearance  offish  into  fractions  owing  to  fish- 
ing, tag  mortality,  and  migration.  The  first  parti- 
tion can  be  eliminated  by  studying  unfished  popu- 
lations, the  second  by  quantifying  tag  mortality, 
and  the  third  by  studying  only  closed  or  tagged 
populations. 

Unfortunately,  very  few  sampled  populations 
satisfy  completely  even  one  of  these  criteria.  Re- 
gardless, we  still  need  at  least  some  crude  esti- 
mates of  M  in  order  to  determine  whether  M  truly 
varies  enough  to  invalidate  the  standard  assump- 
tion in  fisheries  models  that  M  is  effectively  con- 
stant during  exploited  ages.  The  question  here 


36 


VETTER  NATURAL  MORTALITY  IN  FISH  STOCKS 


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NATURAL  MORTALITY  ESTIMATES:  FROM  PAULY  (1980) 

(FISH  STOCKS) 


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0.5     1.0      1.6      2.0     2.5     3.0     3.5     4.0     4.5     5.0     5.5     6.0     6.5     7.0      7.5     8.0 


ESTIMATED  NATURAL  MORTALITY  (M) 

Figure  1. — Frequency  of  estimated  instantaneous  annual  rates  of  natural  mortality  (M)  in  175  different  fish  stocks,  populations,  or 
species.  Estimates  include  both  freshwater  and  marine  species.  Data  from  Pauly  1980. 


concerns  variability  of  M  within  groupings  that 
would  be  used  commonly  to  estimate  M ,  such  as 
stocks  of  single  species,  rather  than  general  pat- 
terns across  species.  If  M  truly  varies  relatively 
little  during  these  ages  (so  that  the  log  of  catch- 
at-age  decreases  linearly  with  age),  if  the  age 
structure  has  been  relatively  constant  histori- 
cally (so  that  catch  curves  are  actually  linear, 
rather  than  curvilinear  as  seen  in  stocks  with 
inconstant  age  structure,  e.g.,  chapter  2,  Ricker 
1975),  and  if  catch  curves  actually  reflect  rela- 
tively accurately  this  constancy  and  low  variabil- 
ity, then  most  estimates  of  M  derived  from  analy- 
sis of  appropriately  processed  catch  curves  cannot 
help  but  be  relatively  close  to  the  true  rate.  Model 
predictions,  although  in  theory  sensitive,  would 
in  practice  be  fairly  robust  to  any  particular  value 
chosen  from  the  true  range  of  values  for  M . 

Despite  the  potential  problems  with  accuracy 
or  precision  of  existing  estimates  from  single 
groups  of  fish,  I  list  in  Table  3  most  of  the  esti- 
mates available  for  unexploited  populations,  and 


some  of  the  few  existing  estimates  from  exploited 
populations.  My  purpose  is  to  identify  the  appar- 
ent range  of  variability  in  M  within  single  stocks. 
The  estimates  are  drawn  from  references  cited  by 
Pauly  (1980)  and  other  sources.  Only  references 
that  reported  multiple  estimates  for  M  are  in- 
cluded, thus  excluding  most  of  the  references  re- 
viewed. Because  these  estimates  are  derived  from 
catch  data,  the  stated  ranges  are  "apparent", 
rather  than  demonstrably  the  "true"  values. 

Estimated  rates  of  natural  mortality  are  not 
particularly  constant  for  either  unexploited  or  ex- 
ploited groups,  and  are  only  slightly  less  variable 
within  stocks  than  they  are  within  species.  Al- 
though the  range  of  rates  within  groups  may  ap- 
pear relatively  small  compared  to  the  total  range 
of  rates  reported  for  all  fish  species  (e.g.,  0.36  to 
0.56  for  sauger  from  Lake  Nipigon  [Table  3]  vs. 
approximately  0.1  to  3.0  for  most  species  listed 
by  Pauly  1980),  the  maximum  and  minimum 
rates  reported  for  single  groups  differed  by  at 
least  50%  in  20  of  the  22  comparison  listed  in 


37 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


Table  3.  In  at  least  one  case  maximum  and  mini- 
mum estimates  differ  by  as  much  as  a  factor  of  7 
(i.e.,  young  vs.  old  whitefish  in  Shakespeare  Is- 
land Lake,  Ricker  1947,  Table  3). 

The  range  of  reported  estimates  of  M  for  species 
(rather  than  single  groups  or  stocks  within  a  spe- 


cies as  compared  above)  is  even  greater.  Even  the 
least  variable  estimates  differed  by  a  factor  of 
1.75  (75%,  male  vs.  female  plaice,  Beverton  1964). 
In  whitefish,  the  species  for  which  the  most  esti- 
mates exist,  maximum  estimates  are  20  times 
greater  than  minimum  estimates  (Table  3). 


Table  3. — Ranges  in  estimates  of  instantaneous  rate  of  natural  mortality  in  unexploited  and  exploited  fisfi  populations.  'Wr^ax'''^min  is 
expressed  as  ffie  ratio  between  tfie  maximum  (Mmax)  and  minimum  (/Wmm)  values  reported  for  M  for  that  species,  Values  in  parenttieses 
are  total  range  of  estimates  and  ratios  for  those  species  where  multiple  reports  exist. 


Common 

Age 

Species  name 

name 

Body  of  water 

Sex 

(years) 

M  range 

'Wmax^'^mir 

,           Source 

1)  Unexploited  populations: 

Amboplites  rupestris 

rock  bass 

Nebish  Lake 

m 

10-12 

1.47-2.1 

1.49 

Ricker  1947 

Nebish  Lake 

f 

10-14 

1.1-1.6 

1.45 

Ricker  1947 

Nebish  Lake 

both 

10-14 

1.08-1.56 
(1.08-2.1) 

1.44 
(2.01) 

Ricker  1947 

Stizostedion  canadensis 

sauger 

Lake  Nipigon 

8-14 

0.36-0.56 

1.56 

Ricker  1947 

Coregonus  clupeaformls 

whitefish 

Lake  Opeongo 

6-13 

0.53 

Ricker  1947 

Shakespeare  Island  Lake 

11-27 

0.08-0.60 

7.51 

Ricker  1947 

Great  Slave  Lake 

17-22  . 

0.71-0.99 

1.39 

Kennedy  1953 

Lake  Nueltin 

13-15 

0.84 

Kennedy  1963 

Lake  IVIcDonald 

11-14 
9-10 

1.34 

1.66 

(0.08-1.66) 

(20.75) 

Kennedy  1963 
Kennedy  1963 

Leuachthys  sardinella 

Ikroavik  Lake 

6-10 

0.2-1.4 

7.00 

Wohlschlag  1954 

Cnstovomer  namayacush 

Great  Slave  Lake 

1-26 

0.31-1.61 

5.19 

'Kennedy  1954 

Great  Slave  Lake 

15-23 

0.49-0.92 

1.88 

'Kennedy  1954 

Great  Slave  Lake 

15-23 

0.52-0.75 
(0.31-1.61) 

1.44 
(5.19) 

2Kennedy  1954 

Perca  fluviatilus 

perch 

River  Thames 

m 

3-8 

0.56-0.98 

1.75 

Williams  1967 

River  Thames 

f 

3-7 

0.2-0.64 

3.20 

3Williams  1967 

River  Thames 

juv 

3-5 

0.53-1.69 
(0.2-1.69) 

3.19 
(8.45) 

3Williams  1967 

Leuciscus  leuciscus 

dace 

River  Thames 

5-11 

0.36-1.31 

3.64 

"Williams  1967 

Alburnus  alburnus 

bleak 

River  Thames 

3-8 

0.6-2.4 

4.00 

■•Williams  1967 

Rutilus  rutilus 

roach 

River  Thames 
River  Stour 

2-11 
3-12 

0.22-1.38 

0.44 
(0.22-1.38) 

6.27 
(6.27) 

"Williams  1967 
Mann  1973 

Cheilodactylus  macropterus 

tarakihi 

Chatham  Islands 
Chatham  Islands 
New  Zealand 

5-35 
5-22 

0.03 

0.08 

0.15 

(0.03-0.15) 

(5.00) 

Vooren  1977 
Vooren  1977 
Vooren  1977 

II)  Exploited  Populations: 

Pleuronectes  platessa 

plaice 

North  Sea 

f 

5-13 

0.08 

Beverton  1964 

North  Sea 

m 

5-13 

0.14 
(0.08-0.14) 

(1.75) 

Beverton  1964 

Brevooiiia  petronus 

gulf  menhaden 

Gulf  of  fvlexico, 

1-3 

0.7-1.6 

2.29 

5Ahrenholz  1981 

Central  (1969,  1971) 

Gulf  of  fvlexico, 

1-3 

0.88-0.98 

1.11 

SAhrenholz  1981 

Eastern  (1969, 

1971) 

Gulf  of  IVIexico, 

1-3 

1.17-1.23 

1.05 

SAhrenholz  1981 

Western  (1969, 

1971) 

Gulf  of  IVIexico, 

1-3 

0.95-1.2 

1.26 

SAhrenholz  1981 

all  areas  (1969, 

1971) 

(0.7-1.6) 

(2.29) 

Gadus  morhua 

cod 

North  Sea 

0.5-1 

0.59-1.46 

2.47 

7Pope  and 
Knights  1982 

Coregonus  clupeaformls 

whitefish 

Lake  Huron 

3.8 

0.34-1.67 

4.91 

SHenderson  et  al. 
1983 

'Increasing  with  age. 

2Year  to  year  variation  (1946-52);  ages  15-23  combined. 

3Not  consistent  with  age. 

"Generally  increasing  with  age. 


SAssuming  20%  tag  loss  rate, 
spor  tag  loss  rates  from  10  to  30%. 
78  different  years  (1967-75). 
823  different  year  classes  (1947-75). 


38 


VETTER:  NATURAL  MORTALITY  IN  FISH  STOCKS 


As  discussed  previously,  these  different  esti- 
mates can  lead  to  at  least  as  great  a  difference  in 
results  produced  by  fishery  analyses  such  as  yield 
models  or  stock  reconstruction  analyses  (Sec- 
tion II). 

Reported  differences  in  estimates  of  M  for 
whitefish  stocks  living  in  Shakespeare  Lake  com- 
pared with  other  relatively  small  lakes  (e.g.,  Lake 
McDonald,  Table  3)  are  particularly  significant. 
Because  both  stocks  are  of  the  same  species  and 
living  in  more  or  less  similar  environments 
(small  lakes),  one  might  easily  (and  incorrectly) 
assume  that  both  have  the  same  rate  of  natural 
mortality;  but  they  did  not.  The  lower  rates  oc- 
curred in  the  stock  occupying  a  small  lake  with  no 
predators.  This  is  a  clear  example  of  the  effect 
that  environment,  particularly  the  predator  envi- 
ronment, can  have  on  the  realized  rate  of  natural 
mortality  in  a  fish  stock.  Obviously,  choosing  a 
single  appropriate  constant  for  this  species  would 
be  difficult.  Choosing  an  appropriate  species- 
specific  constant  for  some  of  the  other  species 
with  multiple  estimates  might  be  difficult  as  well 
(e.g.,  rock  bass,  lake  trout,  perch,  roach,  tarakihi, 
or  menhaden.  Table  3). 

None  of  these  studies  from  either  unexploited 
or  exploited  stocks  support  the  assumption  that  M 
is  constant  for  any  given  stock  or  species,  nor  are 
these  within-stock  ranges  particularly  narrow.  In 
addition,  treatment  of  the  original  catch  data 
may  have  in  some  cases  obscured  the  "true"  vari- 
ability. Ricker  (1947)  and  Kennedy  (1953,  1954, 
1963),  for  example,  use  a  3-yr  smoothing  tech- 
nique to  reduce  the  effects  of  unequal  recruit- 
ment; this  also  serves  to  reduce  variability  that 
may  actually  be  due  to  differences  in  natural  mor- 
tality. Also,  single  estimates  from  data  collected 
during  only  one  or  two  years  of  sampling  (e.g., 
Wohlschlag  1954;  Williams  1967;  Mann  1973; 
Vooren  1977)  can  be  seriously  biased  by  annual 
changes  in  either  recruitment  or  mortality  rates. 
If  the  estimates  reported  above  are  even  approxi- 
mately accurate,  it  is  apparent  that  the  range  of 
possible  values  for  M  is  wide,  and  that  variability 
can  be  considerable  even  within  single  stocks. 

A  solution  to  this  problem  of  choosing  a  reason- 
able value  for  M,  at  least  for  long-lived  fish,  is 
suggested  by  the  possibility  that  variation  in  M 
(not  just  the  mean  value)  may  be  related  to  max- 
imum lifespan.  Fish  that  live  for  many  years 
must  naturally  have  lower  mortality  rates  than 
more  short-lived  fish.  These  lower  rates  may  also 
be  less  variable  in  the  longer  lived  stocks,  if  as  in 
many  other  biological  processes,  variability  is 


proportional  to  the  mean.  This  could  account  for 
the  ubiquity  and  apparent  effectiveness  of  the 
constant  0.2  year"\  used  almost  universally  for 
the  long-lived  (20  to  30  years)  and  well-studied 
fish  stocks  from  northern  European  seas  (e.g., 
Beverton  1964).  If  so,  assuming  a  constant  M 
might  be  valid  for  these  longer  lived  stocks. 

Unfortunately,  the  few  studies  cited  above  do 
not  support  this  attractive  idea.  Although  in  gen- 
eral, mortality  rates  decease  as  lifespan  in- 
creases, the  variability  in  estimates  does  not  ap- 
pear to  follow  the  same  trend.  This  may  be  due 
partially  to  the  relatively  similar  lifespans  (10  to 
20  years)  for  most  of  the  species  for  which  esti- 
mates exist.  But  the  apparent  range  in  rates  for 
the  shortest  lived  species  cited  above  (Ahrenholz 
1981,  Brevoortia  patronus,  ages  1  to  3  years,  M 
range  0.7  to  1.6  year"^)  is  certainly  not  greater 
than  ranges  reported  for  the  longer  lived  white- 
fish  (Henderson  et  al.  1983,  Coregonus  clu- 
peaformis,  ages  10+  years,  M  range  0.34  to  1.67 
year"^). 

VI.   SUMMARY  AND 
RECOMMENDATIONS 

Thus  it  appears  that  rates  of  M,  or  at  least  rates 
of  M  derived  by  existing  estimation  methods,  do 
in  fact  vary  widely  within  many  fish  stocks.  Be- 
cause the  variations  appear  to  be  considerable 
and  because  the  results  from  fishery  models  can 
be  sensitive  to  large  variations  in  M ,  one  must 
conclude  that  assuming  constancy  without  proof 
can  have  serious  consequences  for  fishery  man- 
agement. 

A  better  approach  may  be  to  discard  the  notion 
that  a  single  "best"  estimate  of  M  can  be  found, 
and  instead  try  to  tailor  estimates  of  M  to  local 
groups,  based  on  some  combinations  of  the  meth- 
ods discussed  in  Section  III.  Obviously,  practical 
considerations  of  time  and  resources  will  limit  the 
accuracy  and  precision  with  which  M  can  be  esti- 
mated. Also,  the  estimates  in  the  studies  re- 
viewed here  are  prone  to  all  the  artifacts  men- 
tioned in  the  previous  sections.  True  rates  of 
natural  mortality,  and  their  variability,  are  still 
very  poorly  known  for  even  the  great  stocks  of 
commercial  fish  in  temperature  regions  that  have 
been  subject  to  continuous  exploitation  for 
decades.  Careful,  repeated  tagging  experiments 
probably  hold  the  most  promise  for  determining 
with  any  reasonable  degree  of  accuracy,  rates  of 
natural  mortality  in  fish  stocks.  But  even  these 
have    inherent    problems    that    are    not    easily 


39 


FISHERY  BULLETIN:  VOL  86,  NO.  1 


solved.  There  remains  a  great  need  both  for  new 
methods,  and  refinements  of  the  old. 

ACKNOWLEDGMENTS 

This  review  was  initiated  in  response  to  a  re- 
quest for  Deus  ex  machina  in  mortality  estima- 
tion for  fish  stocks,  elicited  from  participants  at 
the  35th  Annual  Tuna  Conference  held  at  Lake 
Arrowhead,  CA,  20-22  May  1984,  during  a  discus- 
sion organized  in  an  attempt  to  identify  the  single 
most  important  but  least  well-estimated  parame- 
ter in  fishery  models.  The  author  apologizes  for 
the  lack  of  divine  inspiration  herein,  but  extends 
grateful  thanks  to  Chris  Boggs,  Andy  Dizon,  John 
Hoenig,  Pierre  Kleiber,  Robert  Olsen,  and  two 
anonymous  reviewers  for  their  insightful  discus- 
sion and  helpful  comments  during  preparation  of 
this  review. 

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43 


NATURAL  HISTORY  OF  THE  RAYS  OF  THE  GENUS  MOBULA 

IN  THE  GULF  OF  CALIFORNIA 

Giuseppe  Notarbartolo-di-Sciara1 


ABSTRACT 

Mobulid  rays,  which  abound  during  summer  in  the  southern  Gulf  of  California,  southern  Baja 
California,  Mexico,  were  monitored  for  a  period  of  four  years  during  a  study  of  their  biology.  A  total 
of  262  specimens  belonging  to  four  species  of  Mobula  were  examined.  Mobula  thurstoni  was  the  most 
abundant  l58'/f  of  the  catch),  followed  by  M.  japanica  (30%),  M.  munkiana  (9'5f ),  and  M.  tarapacana 
(3'^).  The  study  area  served  as  a  nursery  ground  for  M.  thurstoni,  a  summer  feeding  and  mating 
ground  for  M.  thurstoni  and  M.  japanica,  and  a  wintering  ground  for  M.  munkiana  and  young 
M.  thurstoni ;  M.  tarapacana  was  rare.  Data  on  size,  weight,  sex  ratio,  life  history,  seasonality,  feeding 
habits,  behavior,  habitat,  and  symbionts  are  presented  for  each  species.  Size  segregation  was  a 
common  feature  of  M.  thurstoni ,  M.  japanica  ,  and  M.  munkiana ;  sex  segregation  was  not  evident.  An 
extreme  degree  of  feeding  specialization  was  noted:  summer  prey  were  almost  exclusively  the  eu- 
phausiid  Nyctiphanes  simplex:  the  mysid  Mysidium  sp.  dominated  in  the  winter.  A  key  to  the  genus 
Mobula  in  the  Gulf  of  California  is  presented  as  an  aid  for  species  identification. 


This  paper  reports  on  natural  history  aspects  of 
rays  of  the  genus  Mobula  (Mobulidae),  a  poorly 
known  group  of  elasmobranchs  commonly  called 
manta  rays  or  devil  rays,  frequent  in  the  Gulf  of 
California.  A  good  early  overview  of  the  family 
Mobulidae  was  given  by  Gill  (1908).  Cadenat 
(1960)  described  the  natural  history  of  the  mobu- 
lids  of  tropical  west  African  waters,  based  on 
specimens  which  were  occasionally  captured  by 
the  local  fishermen.  However,  with  the  exception 
of  observations  carried  out  with  some  regularity 
by  Coles  (1910, 1913,  1915,  1916a,  1916b)  of  Mo6- 
ula  olfersi  (=  M.  hypostoma  )  and  Manta  birostris 
off  North  Carolina,  most  of  the  available  litera- 
ture is  purely  anecdotal  and  deals  with  occasion- 
ally encountered  or  harpooned  specimens.  Long- 
term  field  investigations  of  devil  ray  ecology  and 
behavior  are  wanting.  As  a  result,  mobulids  are 
among  the  least  known  of  the  batoid  taxa.  This 
was  recognized  by  Bigelow  and  Schroeder  (1953) 
in  their  comprehensive  review  of  the  knowledge 
of  this  family.  No  major  contribution  to  the 
understanding  of  any  aspect  of  mobulid  biology 
has  since  been  published. 

Regular  fisheries  for  mobulids  were  not  known 
to  exist,  because  mobulid  meat  is  generally  con- 
sidered of  little  market  value.  However,  in  1981, 
during  a  reconnaissance  trip  to  the  southern  Gulf 


iScripps  Institution  of  Oceanogi'aphy,  University  of  Califor- 
nia, San  Diego,  La  Jolla,  CA  92093;  present  address:  Museo 
Civico  di  Storia  Naturale,  corso  Venezia  55,  20121  Milano, 
Italy. 


Manu.script  accepted  October  1987. 
FISHERY  BULLETIN:  VOL.  86,  NO.  1.  1988. 


of  California  (Mexico),  in  the  vicinity  of  La  Paz, 
Baja  California  Sur,  a  regular,  seasonally  impor- 
tant fishery  was  discovered.  This  activity  afforded 
the  opportunity  to  study  several  aspects  of  the 
natural  history  and  the  ecology  of  these  batoids. 
Preliminary  oral  interviews  revealed  that  local 
fishermen  in  the  Gulf  of  California  knew  of,  and 
routinely  captured,  four  species  of  devil  rays,  in 
addition  to  the  well-known  giant  manta  ray, 
Manta  birostris.  This  information  contrasted 
with  the  scientific  literature,  where  only  two 
mobulid  species,  Manta  birostris  and  Mobula  lu- 
casana,  were  reported  for  the  area  (Beebe  and 
Tee-Van  1941;  Fowler  1944;  Castro-Aguirre 
1965).  The  confusing  state  of  mobulid  taxonomy 
demanded  a  revisionary  work  of  the  genus  Mob- 
ula (Notarbartolo-di-Sciara  1987),  and  a  discus- 
sion of  the  systematics  of  Manta  in  the  eastern 
Pacific  (Notarbartolo-di-Sciara  in  press).  Such  ef- 
fort permitted  designation  of  names  for  all  species 
of  Mobula  found  in  the  Gulf  of  California:  M. 
thurstoni  (Lloyd  1908),  of  which  M.  lucasana 
Beebe  and  Tee  Van  (1938)  is  a  junior  synonym; 
M.  japanica  (Miiller  and  Henle  1841);  M.  tara- 
pacana (Philippi  1892);  and  M.  munkiana 
Notarbartolo-di-Sciara  (1987),  which  had  not 
been  described  before.  Many  of  the  reports  of 
M.  lucasana  { =  M.  thurstoni )  from  Central  and 
South  America  (Beebe  and  Tee- Van  1941;  Fowler 
1944;  Nichols  and  Murphy  1944;  Barton  1948; 
Castro-Aguirre  1965;  Chirichigno  1974;  Pequeno 
1983)  undoubtedly  refer  to  other  species  of  Mob- 
ula .  A  key  to  the  genus  Mobula  in  the  Gulf  of 

45 


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0) 


3 


a: 

D 
O 


46 


NOTARBARTOLO-DI-SCIARA:  NATURAL  HISTORY  OF  MOBULA 


California  is  presented  as  an  aid  to  future  studies 
of  mobulids  from  this  region. 

Working  relationships  were  established  with 
the  local  fishing  communities,  and  their  activities 
were  intermittently  monitored  between  1981  and 
1984.  Captured  rays  were  examined  and  mea- 
sured before  their  pectoral  fins  were  filleted; 
stomach  contents  and  reproductive  organs  were 
examined  later.  Information  was  gathered  on 
size,  weight,  sex  ratios,  life  history,  seasonality, 
feeding  habits,  habitat,  behavior,  and  symbionts 
of  four  species  of  rays  belonging  to  the  genus  Mob- 
ula  (M.  thurstoni,  M.  japanica,  M.  munkiana, 
and  M.  tarapacana ).  Detailed  descriptions  and 
morphometries  of  those  species  are  given  by 
Notarbartolo-di-Sciara  (1987).  The  manta  ray, 
Mania  birostris,  was  also  occasionally  captured 
(Notarbartolo-di-Sciara  in  press),  but  is  not 
treated  in  the  present  study. 

METHODS 

Although  mobulids  are  locally  said  to  be  abun- 
dant on  both  sides  of  the  southern  Gulf  of  Califor- 
nia, for  logistic  convenience  collecting  trips  were 
made  only  to  the  peninsular  coast  (Fig.  1).  The 
fishing  cooperative  based  at  Punta  Arena  de  la 
Ventana  was  selected  as  the  prime  collecting  site, 
because  mobulids  were  caught  there  more  consis- 
tently than  at  other  localities.  Fishing  camps  on 
Isla  El  Pardito,  at  Cueva  de  Leon,  Ensenada  de 
los  Muertos,  and  Bahia  de  los  Frailes  were  also 
sources  of  study  material.  Other  fishing  commu- 
nities, such  as  Juncalito,  San  Evaristo,  El  Sar- 
gento.  La  Ventana,  and  San  Jose  del  Cabo  were 
occasionally  visited,  but  yielded  no  data  because 
mobulids  were  not  specifically  sought  by  the  fish- 
ermen. Seven  field  trips  were  made.  Six  were 
short-term  (24  January-8  February  1981,  25 
November  1981,  16-21  December  1981,  20-23 
December  1982,  19-26  January  1984,  and  28  Oc- 
tober-1  November  1984);  one  lasted  almost  six 
months  (26  January-15  July  1983). 

Mobulids  of  all  available  species  and  sizes  are 
caught  with  nets  and  harpoon;  their  meat  is  fil- 
leted out  of  the  pectoral  fins  for  human  consump- 
tion and  used  as  shark  bait.  Gill  nets  are  either 
strung  just  under  the  surface  or  are  set  on  the 
bottom  perpendicular  to  shore,  usually  at  depths 
between  10  and  200  m.  Fishing  vessels  were  5-7 
m  fiberglass  launches,  locally  called  "pangas", 
powered  by  an  outboard  engine.  Fishing  occurred 
within  a  radius  of  about  15  km  from  a  base  camp. 
Nets  are  checked  once  a  day,  early  in  the  morn- 


ing. Rays  weighing  up  to  approximately  100  kg 
were  hauled  on  board,  larger  specimens  were 
towed  ashore.  Rays  that  were  dead  in  the  nets, 
after  several  hours  (i.e.,  three  unsexed  specimens 
of  Mobula  thurstoni),  were  often  partially  de- 
stroyed by  gammarid  amphipods  (locally  called 
"plaga"),  and  were  unmarketable. 

Specimens  were  weighed  and  measured  before 
being  processed  by  the  fishermen.  Weights  (WT) 
were  taken  with  calibrated  spring-scales.  Rays 
lighter  than  20  kg  were  weighed  to  the  nearest 
pound  with  a  50-lb  scale;  weights  were  subse- 
quently converted  to  kg.  Heavier  rays  were 
weighed  to  the  nearest  kg  with  a  150  kg  scale. 
Specimens  which  exceeded  150  kg  (all  postnatal 
M.  tarapacana )  were  cut  in  four  pieces  and 
weighed  separately.  Ten  percent  was  then  added 
to  the  total  weight  to  compensate  for  body  fluid 
loss.  All  the  specimens  could  not  be  weighed,  as 
occasionally  a  large  number  of  rays  were  beached 
simultaneously,  and  because  of  the  intense  heat 
the  fishermen  could  not  delay  their  processing. 

A  set  of  29  measurements  was  taken  for  mor- 
phometric  analysis  and  systematic  purposes. 
Methods  and  results  are  presented  in 
Notarbartolo-di-Sciara  (1987).  Measurements 
relevant  to  the  present  paper  were  disc  width 
(DW),  greatest  dimension  between  outermost  tips 
of  pectoral  fins,  pelvic  fin  length,  from  anterior 
margin  of  vent  to  tip  of  pelvic,  and  clasper  length, 
from  anterior  margin  of  vent  to  tip  of  clasper. 
Most  specimens  were  discarded  after  measuring 
and  sampling.  All  preserved  specimens  were 
deposited  in  the  Marine  Vertebrate  Collection  of 
the  Scripps  Institution  of  Oceanography.  Raw 
data  listing  all  specimens  examined  and  pre- 
served can  be  found  in  Notarbartolo-di-Sciara 
(1985). 

The  size  and  shape  of  the  testes  were  inspected 
in  male  specimens,  and  the  ducti  deferentes  were 
cut  slightly  above  the  genital  papilla.  Presence  or 
absence  of  seminal  fluid  was  determined  by 
running  a  finger  in  the  caudal  direction  over  the 
ducts  anterior  to  the  cut.  Clasper  length  in 
thousandths  of  disc  width  (DW)  was  plotted 
against  DW  to  determine  size  at  maturity,  and 
the  presence  or  absence  of  seminal  fluid  was 
noted.  Relative  size  and  contents  of  uteri  and 
nidamental  glands  were  examined  in  female  spec- 
imens, and  right  and  left  ovaries  were  compared. 
The  diameter  of  the  largest  ovum  was  plotted 
against  DW  to  determine  size  at  maturity  of  fe- 
male Mobula.  Eggs  were  extracted  from  the 
germinative  epithelium  and  their  greatest  di- 


47 


KISHKRY  [BULLETIN:  VOL  86,  NO    1 


ameter  was  measured  to  the  nearest  0.1  mm  with 
a  steel  dial  caliper. 

Stomach  contents,  if  not  larger  than  approxi- 
mately 200  cc,  were  sampled  whole;  otherwise, 
the  bolus  was  made  homogeneous  by  stirring,  and 
about  200  cc  were  preserved.  Stomach  content 
samples  were  fixed  and  preserved  in  10%  buffered 
formalin.  The  stomach  content  of  each  sample 
was  thoroughly  agitated,  separated  with  a  plank- 
ton strainer  (mesh  size  0.5  mm),  rinsed  of  forma- 
lin in  deionized  water,  and  blotted  for  30  seconds 
on  blotting  paper.  The  lump  was  then  molded  into 
a  cylindrical  shape,  and  a  portion  of  one  end  was 
separated  to  make  up  1  g  of  wet  weight,  measured 
to  the  nearest  0.1  g.  The  subsample  was  then 
placed  with  water  in  a  gridded  tray,  and  exam- 
ined under  a  dissecting  microscope.  Contents  of 
the  spiral  intestine  were  discarded,  because  the 
small  crustacean  prey  was  rapidly  digested. 

Feeding  habits  were  analyzed  quantitatively 
by  computing  the  Index  of  Relative  Importance 
(%IRI)  (Pinkas  et  al.  1971;  Hyslop  1980)  for  each 
prey  species.  The  IRI  combines  percentage  by 
number  iN),  mass  (M),  and  frequency  of  occur- 
rence (F)  in  the  formula: 

mi  =  (%N  +  %M)  X  %F 

Prey  items  were  identified,  when  possible,  to 
lowest  taxa  or  species,  then  the  %N  of  all  prey 
species  within  each  subsample  was  calculated. 
When  more  than  one  species  was  present,  all 
items  were  individually  counted.  To  obtain  the 
%M  term  of  the  equation,  mean  mass  was  calcu- 
lated for  each  species  by  measuring  the  length  of 
each  item  contained  in  five  randomly  selected 
squares  on  a  tray,  calculating  the  average  length 
of  each  prey  species,  and  obtaining  mass  values 
from  Miller's  (1966)  Plankton  Conversion  Tables, 
where  mass  is  related  to  length  for  all  main 
planktonic  taxa.  The  %N  from  all  subsamples 
were  summed,  and  the  percent  from  the  new  sum 
was  calculated,  to  calculate  %IRI  for  each  prey 
species.  The  same  procedure  was  applied  to  %M 
and  7cF.  The  total  7(N  was  then  added  to  the  total 
7cM,  and  that  sum  was  multiplied  by  the  total 
%F,  to  obtain  total  IRI  for  each  prey  species,  from 
which  the  %IRI  was  calculated.  When  few  items 
(e.g.,  copepods)  were  found  among  a  large  amount 
of    partially     digested     euphausiid     or     mysid 
shrimps,    the   possibility   of  reconstructing   the 
shrimp  number  within  the  subsample  by  count- 
ing the  digestion-resistant  eye  pairs  was  dis- 
carded to  avoid  bias  in  favor  of  the  shrimp  frac- 


tion. The  following  method  was  adopted  instead: 
all  odd  prey  items  were  counted  and  measured, 
and  their  total  mass  was  obtained  from  Miller's 
tables;  this  was  subtracted  from  the  total  weight 
(1  g)  of  the  subsample.  The  remaining  weight  was 
divided  by  the  mean  weight  of  each  individual 
item,  calculated  by  averaging  the  lengths  of  all 
available  intact  specimens,  and  obtaining  the  cor- 
responding weight  in  Miller's  tables.  A  potential 
biasing  factor  existed,  when  only  a  few  prey  re- 
mains were  found  (e.g.,  when  a  relatively  uncom- 
mon item  occurred  alone  in  a  stomach,  therefore 
contributing  a  value  of  100  7(N  and  7<M  to  the 
total  IRI).  This  factor  was  avoided  by  considering, 
for  quantitative  treatment,  only  those  stomachs 
which  contained  more  than  1  g  (wet  weight)  of 
recognizable  food.  All  stomachs  that  had  <1  g  of 
contents  were  in  fact  virtually  empty,  and  the  few 
items  found  in  them  were  treated  only  qualita- 
tively. 

Remoras  were  fixed  in  10%  formalin,  preserved 
in  50%  isopropanol,  and  deposited  in  the  Marine 
Vertebrate  Collection,  Scripps  Institution  of 
Oceanography.  Parasitic  copepods  were  fixed  and 
preserved  in  50%  isopropanol  and  sent  to  the 
Long  Beach  State  University  for  taxonomic  iden- 
tification and  study. 

RESULTS  AND  DISCUSSION 

A  total  of  262  mobulid  rays,  belonging  to  four 
species  iMobula  thurstoni,  M.  japanica,  M. 
miinkiana,  and  M.  tarapocana)  were  examined 
between  1981  and  1984.  Of  these,  M.  thurstom 
was  the  most  abundant  species,  constituting  58% 
of  the  total  catch,  followed  by  M.  japanica  (30%), 
M.  munkiana  (9%),  and  M.  tarapacana  (3%). 

KEY  TO  THE  SPECIES  OF  MORULA  IN 
THE  GULF  OF  CALIFORNIA 

Mobula  can  be  distinguished  from  Manta  by  the 
mouth  on  the  lower  surface  of  the  head  rather 
than  being  subterminal,  and  by  the  presence  of 
toothbands  in  both  jaws.  Moreover,  Manta  grows 
to  a  greater  size,  and  the  size  of  its  head,  relative 
to  the  body,  is  much  greater  than  in  Mobula. 

la.     Branchial  filter  plates  fused 

M.  tarapacana 

(Spiracle  in  an  elongated  longitudinal 
slit,  dorsal  to  plane  of  pectoral  fins.  Teeth 
tessellated,  surface  of  crown  pitted,  buc- 
cal edge  comblike.  Thick  cover  of  acumi- 


48 


NOTARBARTOLO-DI-SCIARA:  NATURAL  HISTORY  OF  MOHri.A 


nate  denticles.   Large  adult  size,  often 
exceeding   3    m    in    width.    Dorsal    side 
greenish  brown.  Ventral  side  anteriorly 
white,  posteriorly  gray). 
lb.     Branchial  filter  plates  separate 2 

2a.     Spine  on  base  of  tail   M.  japanica 

(Tail  very  long  with  a  line  of  white  tuber- 
cles on  both  sides.  Spiracle  a  short 
transversal  slit,  dorsal  to  plane  of  pec- 
toral fins.  Teeth  not  in  contact  with  each 
other,  at  least  twice  as  high  as  the  crown 
is  wide;  crown  subtriangular  in  apical 
view.  Medium-large  adult  size,  approach- 
ing 2.5  m  in  width.  Dark  blue  to  black  on 
dorsal  side,  apex  of  dorsal  fin  white;  ven- 
tral side  white.  Skin  rough  to  the  touch). 

2b.     No  spine  on  base  of  tail   3 

(Spiracle  small,  subcircular,  ventral  to 
plane  of  pectoral  fins.  Skin  smooth  to  the 
touch). 

3a.     Base  of  tail  dorsally  depressed 

M.  thurstoni 

(Double  curvature  of  anterior  margin  of 
pectoral  fin.  Surface  of  tooth  crown 
rugose.  Medium  adult  size,  exceeding  1.8 
m  of  width.  Dark  blue  to  black  on  dorsal 
side,  apex  of  dorsal  fin  white;  ventral  side 
white,  with  a  dark  greenish  patch  near 
the  posterior  margin  of  each  pectoral  fin, 
and  with  a  pattern  of  dark  and  shiny  sil- 
very pigmentation  on  distal  half  of  pec- 
torals). 

3b.     Base  of  tail  laterally  compressed 

M.  munkiana 

(Anterior  margin  of  pectoral  fin  straight 
to  weakly  convex.  Surface  of  tooth  crown 
smooth.  Small  adult  size,  barely  exceed- 
ing 1  m  of  width.  Dorsum  mauve  gray; 
ventral  side  white,  tips  of  pectoral  fins 
gray). 

Mobula  thurstoni  (Lloyd  1908) 
Local  name:     cubana  de  lomo  azul 

Eighty  one  males  (disc  width  range  630-1,770 
mm),  69  females  (210-1,801  mm),  and  three  spec- 
imens of  undetermined  sex  (941-1,494  mm),  were 
caught  at  four  stations  (Punta  Arena  de  la  Ven- 
tana.  Cueva  de  Leon,  Ensenada  de  los  Muertos, 
and  Isla  El  Pardito)  and  their  adjacent  waters, 
between  7  February  1981  and  30  October  1984. 
Overall  and  seasonal  size-frequency  distributions 


for  M.  thurstoni  are  given  in  Figure  2.  Mean  size 
varied  with  season,  smaller  rays  being  dominant 
in  winter  catches,  medium  sizes  prevailing  in  the 
summer.  The  difference  between  mean  disc  width 
(DW)  in  winter  and  overall  mean  DW  is  highly 
significant  (T-value  =  5.189,  df=169,  P 
<<  0.001).  There  were  no  significant  differences 
between  male  and  female  DWs  (T-value 
=  0.3767,  df  =  145,  P  >  0.5),  with  the  exception  of 
the  November  to  February  period,  when  females 
were  larger  ( T-value  =  2.331,  df  =  12,  P  <  0.05). 
A  total  of  105  specimens  (210-1,770  mm  DW) 
were  weighed.  The  WT/DW  relationship  is  best 
described  by  the  equation: 

WT  -  4.817  X  10-8  ^Y)^^)2.^8 
r  =  0.99 

WT  is  given  in  kg,  DW  in  mm.  The  largest  speci- 
men in  the  sample  was  a  female;  DW  was  not 
measured  because  the  fishermen  had  already 
started  filleting  the  pectoral  fins.  Calculated  DW, 
regressed  from  disc  length,  cranial  width,  and 
upper  toothband  length,  was  1,801  mm  (multiple 
correlation  coefficient  =  0.99).  The  second  largest 
specimen  was  also  a  female,  1,799  mm  DW.  The 
largest  male  had  a  DW  of  1,770  mm  and  weighed 
53  kg.  The  smallest  freshly  caught  specimen  was 
876  mm  DW  and  weighed  6.4  kg.  The  smallest 
postnatal  specimen  was  a  male,  the  carcass  of 
which  was  found  drying  on  the  beach  in  Ensenada 
de  los  Muertos.  Its  calculated  DW,  regressed  from 
toothbands  length,  was  864  mm  (multiple  correla- 
tion coefficient  =  0.99). 

Overall  ratio  of  males  to  females  caught  was 
1.18  {N  =  148).  Catch  sex  ratios  varied  with  sea- 
son. Females  appeared  to  be  dominant  in  winter 
(ratio  of  males  to  females  0.27;  A'^  =  14).  The  re- 
verse was  true  in  March,  in  favor  of  males.  A 
significant  difference  from  a  1:1  ratio  (chi  square 
testP  >  0.05)  was  not  noted.  Geographical  segre- 
gation, either  of  sex  or  size,  was  not  apparent  for 
M.  thurstoni  during  the  warmer  months  when  a 
wide  array  of  size  classes  and  both  sexes  were 
found  in  the  same  fishing  area.  Males  and  fe- 
males were  occasionally  harpooned  from  the  same 
group  basking  at  the  surface.  This  fact  argues 
against  behavioral  sex  segregation.  Winter  data, 
however,  were  suggestive  of  size  segregation  at 
that  time  of  year.  It  was  common  knowledge 
among  local  fishermen  that  during  the  winter 
months  all  M.  thurstoni  caught  are  small.  The 
bimodal    size-frequency    distribution    for    early 


49 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


OVERALL 
Xtot=  13456  ±4022  (N=I48) 


V,f 


13449+5513  {N-79) 


30  -]  H%  -  I356.3±59.27(N  =  66) 


20- 


10- 


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UJ 

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q: 
u. 

lij 


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30nx,<„: 


20- 


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MARCH -APRIL 

1211  1±I52  30  (N  =  I5) 
II28.81I6I  34(N  =  I0) 
I346.0±370.37(N  =  4) 


£22. 


rr-irT^rrr-iEin.  i  .h^. 


30 


20- 


10- 


JUNE 

Xtot=  1401  22+39.45  (N=76) 
X^j.:l38l42±55  22(N^43) 
Xjj:l42703±55  I0(N  =  33) 


NOVEMBER  -FEBRUARY 

Xtot  =  95969±42  75(N-I6) 
Xj.jt  =  86733±48l(N-3) 
X^j  =987  46±52  26(N  =  II) 


D   TOTAL 
E3  ?? 


□73.   1 


MAY 

Xtot=  1435  4  +  69  87  (N  =  37) 
Xj.^  =  1436.61 107.98  (N: 20) 
Xj^  =  l433.9±87.27(N=l7) 


r^m. ,  .mm 


i 


lA. 


JULY 

X,0T  =  15I275±341.72(N  =  4) 
X^^  =  1409  67  ±  385.40  ( N  =  3) 


K^ 


:|80I(N=I) 


950      1150      1350      1550     1750  950      1150     1350     1550     1750 

DISC  WIDTH  (mm) 

Figure  2. — Size-frequency  distributions  of  Mobula  Ihurstoiii  (means  ±2  SE). 


spring  (Fig.  2)  suggested  that  larger  rays  began  to 
move  into  the  area  in  the  spring  from  their  un- 
known wintering  grounds. 

Mature  testes  are  large,  elongated  structures 
attached  by  the  mesorchia  to  the  upper  anterior 
wall  of  the  pleuroperitoneal  cavity,  on  either  side 
of  the  vertebral  column.  A  large  epigonal  organ  is 
associated  with  each  testis.  Both  testes  appeared 
to  be  functional.  They  were  usually  about  the 
same  size,  although  occasionally  the  left  testis 
was  nearly  25''f  larger.  The  paired  ducti  defer- 
entes  remain  separated  from  each  other  through- 


out their  length  and  open  into  the  cloaca  at  the  tip 
of  the  urogenital  papilla  through  two  distinct 
pores,  rather  than  merging  in  the  urogenital 
sinus,  as  in  most  elasmobranchs  (Daniel  1934), 
including  Manta  ehrcnhcrgi  (Gohar  and  Bayoumi 
1959).  Clasper  length  was  plotted  against  DW  for 
43  M.  thurstoni  (Fig.  3),  to  determine  the  onset  of 
male  maturation.  Rapid  increase  in  relative  size 
of  the  claspers,  beginning  at  a  DW  of  about  1,500 
mm,  was  concomitant  with  the  incipient  presence 
of  abundant  seminal  fluid  in  the  lower  portion  of 
each  ductus  deferens.  The  pelvic  fin  area,  and 


50 


NOTARBARTOLO-ni-SCIARA   NATl'RAl.  HISTORY  OV  MORULA 


especially  the  tissue  at  the  bases  of  claspers,  of 
the  larger  males  appeared  swollen  and  congested 
in  May  and  June,  and  some  of  the  skin  had  as- 
sumed a  pink  coloration.  Similar  observations  in 
carcharhinid  and  odontaspid  sharks  have  been 
linked  with  mating  activities  (Springer  1960; 
Gilmore  et  al.  1983). 

The  ovaries  in  M.  thursfoni  are  paired,  elon- 
gated organs  located  inside  the  pleuroperitoneal 
cavity,  analogously  to  the  testes,  and  are  con- 
nected to  a  large  epigonal  organ.  Eggs  are  pro- 
duced within  the  germinative  epithelium.  The 
largest  eggs  were  found  at  the  anterior  end  of  the 
ovary.  Only  the  left  ovary  develops  and  is  func- 
tional, whereas  the  size  and  aspect  of  the  right 
ovary  remains  comparable  with  those  of  the  im- 
mature stage.  Asymmetry  is  also  present  in  the 
oviducts,  the  left  uterus  being  usually  the  largest 
in  mature  females.  It  consists  of  a  voluminous, 
thick-walled  expansion  of  the  lower  tract  of  the 
oviduct;  its  lumen  is  lined  with  a  highly  devel- 


oped epithelium  consisting  of  elongated,  flattened 
villi  (trophonemata),  a  well-known  mobulid  (Gill 
1908;  Setna  and  Sarangdhar  1950;  Wourms  1977) 
and  rhinopterid  (Schwartz  1966;  Smith  and  Mer- 
riner  1986)  feature.  In  several  instances  both 
uteri  were  found  to  contain  a  viscous,  whitish  or 
greenish  substance.  Oviducts  open  separately 
into  the  cloaca.  A  progression  of  sexual  maturity 
in  female  mobulids  was  evident  from  the  exam- 
ined ovary's  developmental  condition.  In  the  im- 
mature female  the  germinative  epithelium  is  a 
narrow,  leaf-shaped  band,  tapering  at  both  ends, 
located  opposite  to  the  mesovarium  (facing  the 
center  of  the  cavity)  along  the  ovary's  longitudi- 
nal axis.  In  mature  females  the  germinative  ep- 
ithelium takes  over  most  of  the  ovary's  ventral 
side,  making  room  for  the  mature  ova.  To  deter- 
mine the  size  at  maturity  of  female  M.  thurstoni, 
the  diameter  of  the  largest  ovarian  egg  was  plot- 
ted against  DW  (19  specimens.  Fig.  4).  An  egg 
growth  plateau  was  not  evident,  because  data  on 


Figure  3. — Relationship  between  clasper  size  and  body  size 
in  Mobula  thurstoni. 


50 


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500  1000  1500 

DISC  WIDTH  (mm) 


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(- 

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Figure  4. — Relationship  between  size  of  largest  ovum  and 
body  size  in  Mobula  thurstoni. 


1000  1500 

DISC  WIDTH  (mm) 


2000 


51 


FISHKKY  BULI.KTIN   VOL  86.  NO   1 


the  larger  sizes  were  insufficient,  and  therefore 
the  maximum  egg  diameter  was  not  l^^nown.  It 
appears  from  the  scanty  available  data  that  fe- 
male M.  thurstoni  began  to  mature  at  a  DW  of 
about  1,500  mm  (the  point  at  which  the  slope  of 
the  curve  becomes  steeper). 

Mobulo  thurstoni,  like  all  mobulids,  is  a  vivi- 
parous matrotroph  ( Wourms  1981 ),  the  near-term 
embryo  being  three  orders  of  magnitude  larger 
than   the   mature   egg.    Uteri    and    nidamental 
glands  of  68  females  were  inspected.  No  adujt 
female  exammed  from  March  through  June  iN 
=  55)  was  pregnant.  Embryos  were  found  in  July 
and  October.  Two  embryos  from  females  caught 
in  July  were  near-term.  Four  embryos  found  in 
October  were  in  an  early  stage  of  development. 
All  females  (A^  =  4)  inspected  in  October  were 
pregnant,  and  all  embryos  were  in  the  same  de- 
velopmental stage,  suggesting  coordinated  breed- 
ing activity.  The  largest  female  (DW  1,801  mm) 
had  a  single  embryo,  which  appeared  to  be  in  the 
final  stage  of  fetal  development,  fully  pigmented, 
the  yolk  sac  completely  absorbed,  and  the  umbili- 
cus a  mere  scar  (Fig.  5A).  The  embryo's  DW  was 
630  mm;  its  WT,  3.4  kg.  It  occupied  the  left  uterus 
with  the  rostrum  pointed  forward.  Its  pectoral 
fins  were  folded  dorsally,  the  right  pectoral  on 
top.  The  cephalic  fins  were  almost  totally  un- 
rolled and  extended  ventrally  towards  the  mid- 
line of  the  body.  The  uterus,  with  the  embryo 
inside,  occupied  roughly  one  third  of  the  female's 
pleuroperitoneal  cavity.  Lack  of  space  inside  the 
cavity  and  the  distended  skin  on  the  abdomen 
made  it  apparent  that  no  other  embryo  had  been 
recently  expelled  or  aborted.  Uniparity  appears  to 
be  a  common  pattern  within  the  genus  Mobiila 
(Hill  1862;  Gill  1908;  Coles  1913,  1916b;  Barnard 
1925;  Setna  and  Sarangdhar  1950;  Cadenat  1960; 
Wallace     1967;     Capape     and     Zaouali     1976; 
Figueiredo  1977).  Only  Risso  (1826)  asserted  that 
Cephaloptera  giorna  (=  M.  mohular)  may  have 
one  or  two  young,  but  his  statement  was  not  doc- 


umented. Since  the  smallest  free-swimming  spec- 
imen noted  had  a  DW  of  864  mm,  the  average  size 
at  birth  for  M.  thurstoni  is  probably  between  650 
and  850  mm  DW,  and  a  WT  of  approximately  4.5 
kg.  The  second  largest  female  (DW  1,799  mm) 
had  also  only  one  embryo  in  her  left  uterus.  The 
embryo  was  unpigmented,  with  disc  210  mm 
wide,  and  weighed  173  g.  Like  the  term-embryo, 
its  rostrum  was  pointing  forward;  unlike  it,  how- 
ever, its  pectoral  fins  were  folded  ventrally. 

Mating,  parturition,  and  early  mobulid  life  his- 
tory take  place  in  the  shallower  portion  of  a  popu- 
lation's range,  not  an  uncommon  elasmobranch 
feature.  McLaughlin  and  O'Gower  (1971)  dis- 
cussed inshore  movements  in  the  mating  Port 
Jackson  shark  Heterodontus  portusjacksoni ,  as 
did  Springer  (1960)  for  the  sandbar  shark  Eu- 
lamia  milberti  (=  Carcharhinus plumbeus).  One- 
year-old  gray  reef  sharks,  Carcharhinus  am- 
bhrhynchos,  were  observed  in  French  Polynesia 
in  shallower  waters  than  adults  by  Nelson  and 
Johnson  (1980).  A  similar  result  was  reported  for 
the  hammerhead  shark,  Sphyrna  lewini ,  by 
Clarke  (1971)  in  Hawaii  and  by  Klimley  ( 1983)  in 
the  Gulf  of  California.  Bullis  (1967)  hypothesized 
an  upward  movement  to  shallower  depths  for 
newborn  marbled  cat  sharks,  Galeus  arae.  There 
is  likely  an  advantage  for  juveniles  to  remain  in 
relatively  protected  areas  during  the  earlier 
stages  of  their  life,  when  they  are  most  vulnera- 
ble to  predation  (Springer  1967). 

Examination  of  139  stomachs  indicated  that 
M.  thurstoni  was  extremely  specialized  in  its 
feeding  habits.  Eighty  one  (58.3%)  stomachs  were 
empty,  or  had  only  traces  of  food  (<1  g  wet 
weight).  The  remaining  58  stomachs  (41.7%)  had 
quantifiable  contents.  All  recognizable  prey 
items  were  planktonic  crustaceans  (with  the  ex- 
ception of  a  few  fish  eggs,  one  nematod,  and  a 
small  coleopteran,  probably  ingested  accidentally 
when  it  was  floating).  They  were  listed,  ranked  by 
decreasing  ^IRI,  in  Table  1.  Mobula  thurstoni 


Table  1  —Prey  species  found  m  57  stomachs  of  Mobula  thurstoni,  ranked  by  decreasing  Index 
of  Relative  Importance  (IRI).  N  =  percentage  of  prey  species  by  number;  M  =  percentage  of 
prey  species  by  mass;  F  =  percent  frequency  of  occurrence  of  prey  species. 


Prey  species 

N 

%N 

M 

°/oM 

%F 

IRI          , 

%IRI 

Nyctiphanes  simplex 

4,940.8 

86  70 

4.982.0 

87  40 

877 

15,268          1 

97,90 

Mysidium  sp. 

6352 

11  10 

631.2 

11.10 

12.3 

273           ' 

1.75 

Copepoda 

99.9 

1  80 

74.5 

1.31 

15.8 

49     ; 

Megalopa  larvae 

12.0 

0.21 

4.1 

0.07 

14.0 

3.95     1 

Hyperiid  amphipods 

6.8 

0.12 

5.8 

0.10 

5.3 

1.18     ' 

[     0,35 

Fisfi  eggs 

1,4 

0.03 

1,8 

0.03 

5.3 

0.302  \ 

Nematoscelis  difi. 

0.5 

001 

1.1 

002 

1.8 

0.050  1 

Stomatopod  larvae 

0.7 

0.01 

0.6 

0.01 

1.8 

0.041    'J 

52 


NOTARBARTOLO-DI-SCIARA:  NATURAL  HISTORY  OF  MOBULA 


B     i 


Figure  5. — A:  term-embryo  of  Mobula  thurstoni .  The  scale  in  the  photograph  is  in  centimeters.  B;  embryo  of  M. 

tarapacana .  The  scale  bar  equals  5  cm. 


53 


KISHEKY  BULLETIN:  VOL  86,  NO.  1 


fed  mostly  on  adult  and  juvenile  euphausiids, 
Nyctiphanes  .s///?p/c.v.  The  niysid  Mysidium  sp. 
(underscribed,  Thomas  E.  Bowman^)  was  second 
in  order  of  importance.  Mysids  and  euphausiids 
were  never  found  together  in  the  same  stomach. 
The  overall  importance  of  the  two  food  items  dif- 
fered by  two  orders  of  magnitude.  All  other  prey 
species  found  in  the  stomachs  were  rare  and  prob- 
ably fortuitously  ingested.  These  included  one 
zoea  larva  and  the  following  copepod  species: 
Undinula  vulgaris,  Eucalanus  subcrassus,  E. 
subtenuis,  Ternora  discaudata,  Scolecithrix 
danae,  Nannocalanus  minor,  Euchaeta  remana, 
Euchaeta  sp.,  and  Labidocera  diandra.  Diet 
varied  with  season  (Fig.  6A),  with  mysids  being 
dominant  from  December  through  March,  and  eu- 
phausiids during  the  warmer  months.  Diet  varied 
with  predator  size  (Table  2):  smaller  individuals 
fed  both  on  euphausiids  and  mysids;  the  larger 
rays  fed  only  on  euphausiids.  This  result  probably 
reflects  the  predominance  of  smaller  rays  during 
winter,  when  fewer  euphausiids  are  available, 
rather  than  an  ontogenetic  change  in  food  prefer- 
ences. 

Table  2. — Size  differences  in  the  diet  of  Mobula  thurstoni. 


%IRI 

Prey  species 

DW  <  1 ,300 
(n  =  21) 

mm       DW 

>  1 ,300  mm 
(n  =  36) 

Nyctiphanes  simplex 
Mysidium  sp. 
Other 

79.04 

18.13 

2.83 

99.91 
0 
0.09 

Two  remoras  (Echeneididae)  were  occasionally 
found  on  large  M.  thurstoni:  Remora  remora  (3 
specimens;  range:  98-200  mm  SL),  and  R. 
albescens  (3  specimens;  93-100  mm  SL).  Crus- 
tacean parasites  were  encountered:  Pupulina 
minor  (Copepoda:  Caligidae),  Ecthrogaleus  den- 
ticulatus  (Copepoda:  Pandaridae)  sparsely  on  the 
skin,  and  Ecthrogaleus  disciarai  (Benz  and  Deets 
1987)  in  large  patches  on  the  dorsal  surface,  En- 
tepherus  laminipes  (Copepoda:  Cecropidae)  from 
the  branchial  filter  plates,  Eudactylina  oliveri 
(Copepoda:  Eudactylinae)  from  the  gill  lamellae, 
and  Kroeyerina  sp.  (Copepoda:  Kroyeriidae)  from 
the  olfactory  lamellae. 

Mobula  thurstoni  was  usually  observed  at  the 
surface  in  coastal  waters  of  Bahia  de  la  Ventana, 
Cueva  de  Leon,  and  Bahia  de  los  Muertos,  often 
within  a  few  hundred  meters  of  land  and  occa- 


2Thoma.s  E.  Bowman,  Smithsonian  Institution,  Washington, 
D.C.,  pers.  commun.  1984. 


sionally  as  far  as  6  km.  When  sighted  offshore,  it 
was  sometimes  found  over  considerable  depths 
O500  m),  although  it  appeared  to  be  more  abun- 
dant in  shallower,  neritic  waters.  Mobula 
thurstoni  was  always  caught  in  the  shallower 
part  of  the  nets,  usually  at  a  depth  of  <  100  m.  The 
greatest  part  of  the  catch,  however,  was  surface- 
dwelling  rays.  Beginning  in  mid-April,  numerous 
M.  thurstoni  were  consistently  seen  in  the  early 
morning  hours  cruising  slowly  at  the  surface. 
They  would  frequently  pause,  conspicuous  on 
calmer  days,  with  the  tips  of  their  pectoral  fins 
protruding  out  of  the  water.  This  behavior  is  well 
known  in  mobulids  (Norman  and  Eraser  1937);  it 
has  been  observed  also  in  connection  with  mating 
activities  in  M.  olfersi  ( =  M.  hypostoma )  by  Coles 
(1910).  During  such  occasions,  fishermen  could 
easily  approach  the  rays  and  harpoon  them,  be- 
fore startling  them  and  causing  them  to  dive.  Re- 
peated captures  within  the  same  aggregation  re- 
vealed that  rays  of  various  sizes  and  both  sexes 
could  be  found  together.  While  at  the  surface, 
M.  thurstoni  was  usually  solitary  or  in  small, 
nonpolarized  groups  (2-6),  rather  than  in  larger 
aggregations  or  schools.  The  species  was  fre- 
quently seen  jumping  out  of  the  water  in  spectac- 
ular, often  reiterated  somersaults;  it  was  recog- 
nized by  the  distinctive  ventral  markings. 

It  is  not  known  to  what  extent  mobulids  make 
use  of  the  sea  bottom.  Beebe  and  Hollister  (1935) 
observed  a  group  of  12  small  devilfish  (most  likely 
Mobula )  lying  on  the  sandy  substrate  off  Frigate 
Islet,  in  the  British  West  Indies.  Bigelow  and 
Schroeder  (1953)  speculated  that  Manta  spends 
much  of  its  time  resting  quietly  on  the  seafloor. 
During  an  experiment  organized  in  conjunction 
with  Sea  World  of  San  Diego,  aimed  at  establish- 
ing whether  M.  thurstoni  could  survive  in  a  con- 
fined environment,  five  young  specimens  were 
captured  with  gill  nets  and  kept  in  a  large  pen  (6 
m  in  diameter)  anchored  in  2.5  m  of  water  in 
Ensenada  de  los  Muertos.  None  of  the  rays  sur- 
vived 24  hours  of  captivity;  the  reasons  for  their 
deaths  were  not  clear,  although  the  particularly 
stressful  capturing  method  appeared  as  a  likely 
cause.  During  that  experiment  the  negatively 
buoyant  rays  (sinking  tail-first  as  soon  as  they 
stopped  swimming)  spent  a  great  deal  of  time 
resting  on  the  bottom,  and  were  able  to  circulate 
water  through  their  gills  while  resting,  by  a  syn- 
chronized maneuvering  of  the  oral  valve  and  of 
the  gill  covers  (as  judged  from  the  flow  made  vis- 
ible by  the  numerous  particles  suspended  in  the 
water).   A  frequent  method  of  turning  around 


54 


NOTARBARTOLO-Dl-SCIARA:  NATURAL  HISTORY  OF  MOBULA 


XII -II 


IV 


VI        VII        VIM 


IX 


XI 


Figure  6. — A.  seasonal  variation  of  the  relative  importance  ofNyctiphanes  simplex  and  Mysidium  sp. 
in  the  diet  of  Mobula  thurstoni.  B.  seasonal  variation  of  the  abundance  of  adult  and  juvenile  A^. 
simplex  in  the  coastal  areas  of  the  southwestern  Gulf  of  California  (modified  from  Brinton  and 
Townsend  19801.  C.  captures  of  M.  tarapacana .  D.  captures  of  M.  munkiana .  E.  mean  number  of 
daily  captures  of  M.  japanica;  bars  represent  2  SE  on  either  side  of  the  mean.  F.  mean  number  of 
daily  captures  of  M.  thurstoni:  error  bars  as  in  E.  (*):  although  specimens  were  also  captured 
between  December  and  February,  data  are  not  comparable  with  spring  and  summer  captures  because 
catch  effort  was  minor  and  inconsistent  in  the  colder  months. 


55 


FISHKKY  BULI.KTIN:  VOL  86,  NO   1 


(e.g.,  when  swimming  towards  the  wall  of  the 
pen)  was  to  dive  vertically  in  a  tight  circle  until 
swimming  in  the  opposite  direction  in  an  inverted 
position,  and  then  spinning  around  the  body  axis 
to  brmg  the  dorsal  side  up,  rather  than  turning  by 
banking  to  the  right  or  to  the  left. 

An  indication  of  the  seasonal   abundance  of 
M.  thiirstoni  in  the  surface  waters  of  the  study 
area  was  obtained  by  the  mean  number  of  rays 
caught  daily  from  March  to  July  1983  (Fig.  6; 
Table  3).  Mean  daily  catch  should  be  taken  as  a 
rough  indication  of  the  relative  abundance  of  M. 
thurstom  rather  than  as  a  precise  index  because 
the  fishing  effort  was  difficult  to  quantify.  Mean 
effort,  however,  was  roughly  constant  from  March 
through  July  because  the  mean  monthly  number 
of  working  boats  (about  20)  and  the  number  and 
size  of  the  nets  set  then  was  constant.  Further- 
more, the  fishermen  would  harpoon  a  ray  every 
time  they  had  the  opportunity  to  do  so.  Peak  of 
abundance  was  in  June,  a  result  which  appears  to 
be  consistent  with  the  fishermen's  past  experi- 
ence, despite  the  1983  abnormally  high  water 
temperatures  (Cane  1983).  In  July  the  number  of 
M.  thurstom  caught  had  dropped  drastically,  and 
most  of  the  catch  consisted  of  M.  japanica .  No 
information  was  obtainable  for  the  August-Sep- 
tember period.   Eighteen   specimens   were   cap- 
tured during  six  fall  and  winter  field  trips  (24 
January-8  February  1981;  25  November  1981; 
16-21  December  1981;  20-23  December  1982; 
19-26  January  1984;  28  October-1   November 
1984),  but  that  figure  was  not  comparable  with 
other  data  because  part  of  the  fishing  cooperative 
migrated  south  to  Los  Frailes  during  the  cooler 
months.    It    is    common    knowledge,    however, 
among  the  local  fishermen,  that  M.  thurstom  in 
the  colder  season  is  present,  but  in  fewer  numbers 
than  during  the  summer. 

The  study  area  constitutes  a  feeding,  mating 
and  nursery  ground  for  M.  thurstoni.  The  eu- 
phausiid  Nyctiphanes  simplex ,  the  main  diet  item 
and  the  only  food  of  the  adults  when  in  the  area, 
is  the  most  abundant  and  widespread  euphausiid 
in  the  Gulf  of  California,  and  has  been  observed  in 
dense  swarms  (Brinton  and  Townsend  1980).  Al- 
though it  is  found  in  the  study  area  year-round, 
its  juvenile  and  adult  stages  are  most  abundant 
between  February  and  August,  peaking  in  June 
on  the  west  side  of  the  Gulf  of  California  (Brinton 
and  Townsend  1980).  The  seasonal  abundance  of 
M.  thurstoni  in  the  southern  Gulf  thus  seems  to  be 
closely  related  to  the  seasonal  abundance  of  its 
main  prey.  It  is  impossible  to  describe  the  general 


Table  3— Mean  number  of  daily  captures  of  Mobula  thurstom 
a  -  total  monthly  number  of  captures;  b      monthily  number  of  days 
of  monitonng;  X  =  mean  number  of  daily  captures;  SE  =  standard 
error  of  tfie  mean;  so  =  standard  deviation. 


Month 

a 
6 

b 

X 

2SE 

SD 

range 

March 

16 

038 

054 

1.1 

0-4 

April 

9 

13 

0.69 

0.69 

1.3 

0-4 

May 

35 

7 

5.00 

1.95 

2.6 

1-9 

June 

77 

15 

5.10 

332 

6.4 

0-23 

July 

5 

9 

0.56 

0.34 

1.0 

0-3 

movement  and  life  history  pattern  of  M.  thurstom 
in  the  Gulf  of  California  from  the  fragmentary 
information  available.  The  scanty  data,  however, 
suggest  the  following:  1 )  adult  male  and  nonpreg- 
nant adult  female  M.  thurstoni  enter  the  area  in 
spring  to  feed  and  to  mate,  2)  pregnant  females 
segregate   from   the   rest   of  the   population   in 
spring  (as  is  also  suggested  by  the  slight  predom- 
inance of  males  in  spring  and  early  summer), 
3)  gestation  period  is  one  year  and  females  give 
birth  to  one  young  every  two  or  more  years,  4)  the 
young  are  born  in  the  study  area  or  near  it  in 
midsummer  and  remain  there  throughout  their 
early  life,  and  5)  in  late  summer,  when  the  num- 
bers of  adult  and  juvenile  Nyctiphanes  simplex 
decline  due  to  intense  heating  of  the  water  (Brin- 
ton and  Townsend  1980),  adult  M.  thurstom  leave 
the  area,  whereas  the  young  switch  their  diet 
from  euphausiids  to  mysids.  Further  investiga- 
tions are  needed  for  additional  corroboration  of 
these  hypotheses. 

Mobula  japanica 

(MuUer  and  Henle  1841) 

Local  name:     cubana  de  lomo  bianco 

A  total  of  78  specimens,  34  males  (DW  range 
1,316-2,386  mm)  and  44  females  (1,470-2,302 
mm),  were  caught  at  three  stations  (Punta  Arena 
de  la  Ventana,  Cueva  de  Leon,  and  Ensenada  de 
los  Muertos)  and  adjacent  waters,  between  16  De- 
cember 1981  and  13  July  1983.  Overall  and  sea- 
sonal size-frequency  distributions  for  M.  japanica 
are  shown  in  Figure  7.  With  the  exception  of 
April,  when  females  were  larger  (T -value 
=  4.697,  df  =  3,  P  <  0.02),  there  are  no  significant 
size  differences  between  the  sexes  (T -value 
-  0.535,  df=  76,  P  >  0.5).  Most  of  the  rays  in  the 
sample  were  large;  only  three  were  <  1,900  mm 
DW. 

Twenty-seven  specimens  (size  range:  1,316- 
2,285  mm  DW;  18.6-115  kg)  were  weighed.  The 
WT/DW  relationship  is  described  by  the  equation: 


56 


NOTARBARTOLO-DI-SCIARA:  NATURAL  HISTORY  OF  MOBULA 

WT  =  4.29  X  10-10  (DW)'^^ 

r  =  0.98 

where  WT  is  given  in  kg,  DW  in  mm.  The  overall 
male  to  female  ratio  was  0.89  (A'^  =  781.  Females 
dominated  the  June  through  December  period; 
males  were  predominant  in  April  and  May.  Sex 
ratios,  however,  never  significantly  differed  from 
1  (x"  test  P  >  0.05).  Sex  segregation,  behavioral 
or  geographical,  was  never  observed  in  M.  japan - 
ica  (both  sexes  were  caught  together  in  nets  and 
by  harpoon);  sampling  bias  (N  =  3)  may  explain 
why  only  males  were  caught  in  May.  Geographi- 


cal size  segregation,  by  contrast,  was  an  evident 
feature  of  sexually  mature  specimens  in  the  Gulf 
of  California  (Fig.  7). 

No  pregnant  females  were  found,  although  in 
some  specimens  the  left  uterus  had  a  flabby  and 
dilated  appearance,  suggesting  recent  delivery. 
Tissues  at  the  base  of  the  claspers  of  most  of  the 
larger  males  were  swollen  and  reddened  in  June 
and  July  when  the  tips  of  the  claspers  were  flex- 
ible and  the  rhipidion  could  be  easily  spread,  and 
in  doing  so  a  white,  viscous  fluid  would  ooze  from 
the  hypophyle;  all  this  suggested  mating  activity. 
The  clasper  length-DW  relationship  for  M  Japan - 
ica  (Fig.  8)  did  not  exhibit  a  clear  pattern  as  in  M. 


30  -I 


20 


10  - 


OVERALL 

Xtot  =  2I25  I±3674  (H-7Q) 
^^^  =  21016167  12  (N-34) 
Xjj  -2143.3139  28  (N  =  44) 


frrn  r-[7^  r-TH ,  i 


.^^ 


I. 


i 


DECEMBER 

Xtot  =  I86I4±  385  74  {H-5) 
X^^  =  I3I6(N  =  I) 
Xj^:l997.8±  352  22(N  =  4) 


rmrTTi.  i  .,  i  ..  i  .,  i  ..  i  ,.  i  .1  ^.  i  ,.  i 


> 
u 

z 

LU 

O 

UJ 


o 
en 
m 

< 


30  n 


20  - 


10  - 


APRIL 

X,o,^  2156  0  166  58  (N^5) 
X^^  =  2l050i28.84(N-3) 


H% 


=  22325  +  53.00(N  =  2) 


mm, 


MAY 
Xtot  =  X^^=  2057  33  1122  56  (N^  3) 


.■  I   ■■   I  ■■   I 


■■    I     .Fxl— I, 


30 


20- 


10  - 


JUNE 

Xtot=2I45  5131.32  (N^26) 
X^<?^2I40  4  150  78(N=I0) 
5(jo  =2I48.814I04(N-I6) 


D  TOTAL 
E3  ^^ 
0  %% 


I  ■■  I  ■■  I 


i. 


n]za_ 


JULY 

XT0T  =  2l466i42.94  (N  =  39) 
7^^  =  2132.2  + 88.06  (N=  17) 
X^j  =2157713598  (N  =  22) 


I   .n-i. 


I   ■■   I   .r-iT^ 


ii 


hi 
4. 


i 


1450     1650     1850   2050    2250  1450     1650     1850   2050    2250 

DISC  WIDTH  (mm) 


Figure  7. — Size-frequency  distribution.s  of  Mobula  japanica  (means  ±2  SE). 


57 


FISUKKY  BULLETIN:  VOL  H6.  NO    1 


Figure  8. — Relationship  between  clasper  size  and  body  size 
in  Mobula  japan ica  . 


^150 

O  o 
Z.<2 
liJ^125 

UJ  " 
CO  "O 

^« 

O  §100 


#  s«mlnal  fluid  preteni 
O  seminal  fluid  absent 
A      no  data 


.\. 


1500  2000 

DISC  WIDTH  (mm) 


2500 


thurstoni,  since  most  of  the  specimens  of  M. 
japanica  were  of  larger  size  classes.  It  was  appar- 
ent, however,  that  at  a  DW  between  2,050  and 
2,150  mm  there  is  a  high  degree  of  variability  in 
the  relative  size  of  claspers,  which  tended  to  sta- 
bilize at  higher  values  (DWs  >2,150  mm),  indi- 
cating that  male  sexual  maturity  in  M.  Japanica 
begins  at  a  DW  of  2,100  (±50)  mm.  Lack  of  infor- 
mation on  smaller  specimens  prevented  a  clear 
understanding  of  the  onset  of  female  sexual  ma- 
turity (Fig.  9).  Large  eggs  were  found  in  speci- 
mens as  small  as  2,070  mm  DW,  possibly  indicat- 
ing that  female  M.  japanica  began  to  mature  at 
that  size. 


Only  19  (24%)  of  78  specimens  had  quantifiable 
stomach  contents  (>1  g  wet  WT).  The  remaining 
59  stomachs  (76%)  were  empty  or  had  only  traces 
of  food.  All  M.  japanica  fed  largely  on  the  eu- 
phausiid  Nyctiphanes  simplex  (Table  4);  no 
mysids  were  found.  Other  species  occurring  in  the 
stomachs,  including  copepods,  megalopa  larvae, 
stomatopod  larvae,  hyperiid  amphipods,  caridean 
decapods  (Crangon  sp.,  Pasiphaea  sp.,  and  one 
alpheid  decapod),  and  one  cumacean,  had  an  over- 
all relative  diet  importance  of  only  0.38%>.  Mobula 
japanica  were  therefore  very  similar  in  feeding 
habits  to  large  M.  thurstoni.  Information  on  the 


Figure  9. — Relationship  between  size  of  largest  ovum  and 
body  size  in  Mobula  japanica . 


40 

• 
• 

^^ 

E 

^  30 

• 

\. 

5 

• 

< 

•  • 

Q 

2 

• 

3  20 

•- 

• 

> 

•    • 

O 

• 

• 

1- 

V) 

• 

0 

• 

LU 

Sio 

- 

•  • 

< 

_l 

' 

1 

1 

2000  2200 

DISC  WIDTH  (mm) 


2400 


Table  4. — Prey  species  found  in  19  stomachs  of  Mobula  japanica,  ranked  by  decreas- 
ing Index  of  Relative  Importance  (symbols  as  in  Table  2). 


Prey  species 

N 

%N 

M 

%/W 

%F 

IRI 

%IRI 

Nyctiphanes 

simplex 
Copepoda 
Other 

1,890.64 
4.61 
4.74 

99.51 
0.24 
0.25 

1,869.85 

1.15 

29.00 

9841 
0.06 
1.53 

100.00 
31  58 
36.84 

19,792 
9.47 
65.58 

99  62 
0.05 
0.33 

58 


NOTARBAKTOI.O-DI  SCIARA:  NATl'HAI.  HISToHY  OF  MOBVLA 


winter  diet  of  M.Japanica  was  lacking,  as  four  of 
the  five  specimens  collected  then  had  empty  stom- 
aches;  the  fifth,  a  large  female,  contained  a  small 
fragment  of  a  partially  digested  fish  carcass. 
Since  quantifiable  stomach  contents  were  found 
only  in  large  rays  between  April  and  July,  no  size 
or  seasonal  differences  in  the  diet  of  M.japanica 
could  be  detected. 

Mohiila  Japanica  was  often  found  carrying 
Remora  remora ,  usually  seen  clinging  to  the  out- 
side of  body,  but  found  once  inside  a  spiracle.  Six 
specimens  of  R.  remora  (range  109-217  mm  SL) 
were  collected  from  M.  japanica .  Only  one  speci- 
men of/?,  albescens  (97  mm  SL)  was  found,  in  the 
mouth  cavity  of  a  M.japanica.  A  pilot  fish,  Nau- 
crates  ductor  (Carangidae)  also  associated  with 
M.  japanica,  swam  alongside  a  harpooned  ray 
that  was  being  towed  inshore  and  remained  for 
some  time  at  the  water's  edge,  where  the  ray  was 
beached.  Mobula  japanica  was  parasitized  by  the 
following  crustaceans:  Nerocila  acuminata 
(Isopoda:  Cymothoidae),  Pupulina  brevicauda 
and  P .  minor  (Copepoda:  Caligidae)  on  the  skin; 
Eudactylina  oliveri  (Copepoda:  Eudactylinae)  in 
the  gills;  and  Kroeyerina  sp.  (Copepoda:  Kroyeri- 
idae)  among  the  olfactory  lamellae.  Unidentified 
trypanorhynch  cestodes  were  occasionally  found 
within  the  pleuroperitoneal  cavity. 

Habitat  preference  of  M .  japanica  did  not  ap- 
pear to  differ  from  that  of  M.  thurstoni .  However, 
the  use  of  the  habitat  differed  seasonally:  in  April 
and  May,  when  M.  thurstoni  was  abundant  at  the 
surface,  M.  japanica  was  never  seen,  and  few 
specimens  were  bottom  gillnetted  during  those 
months.  Conversely,  M.japanica,  in  June  and 
July,  was  seen  in  the  late  morning  hours  at  the 
surface  in  groups  of  several  individuals  swim- 
ming parallel  to  the  shore.  Occasionally  speci- 
mens were  seen  in  water  <1  m  deep.  Mobula 
japanica  is  not  known  to  school,  and  I  never  ob- 
served schooling. 

Coles  (1910)  reported  that  M .  olfersi  (=  M.  hy- 
postoma  )  utters  a  "musical,  bell-like  bark"  when 
dying.  A  similar  account  was  given  by  Risso 
(1810)  of  Cephalopterus  massena  {=  M .  mobular). 
This  information  led  subsequent  authors  (Nor- 
man and  Fraser  1937;  Bigelow  and  Schroeder 
1953)  to  wonder  whether  mobulid  rays  are  capa- 
ble of  producing  sounds  while  in  the  water.  Sound 
production  is  a  fairly  widespread  phenomenon 
among  bony  fishes  (Fish  and  Mowbray  1970; 
Tavolga  1971);  however,  elasmobranchs  lack  the 
traditional  structures  used  by  teleosts  to  generate 
sound,  i.e.,  the  swim  bladder  and  bony  skeletal 


parts  (Marshall  1962),  and  recognizable  sounds 
have  not  been  recorded  from  these  animals 
(Backus  1963).  Sound  production  among  elasmo- 
branchs has  been  reported  only  for  the  Atlantic 
cownose  ray,  Rhinoptera  bonasus  (Myrberg 
1981);  in  that  case  clicks  and  scraping  sounds 
were  presumably  produced  with  the  dental  plates, 
elicited  when  strongly  prodding  three  rays  which 
were  confined  in  a  tank  (Fish  and  Mowbray 
1970).  Mobula  japanica,  when  beached  alive, 
often  emitted  a  distinctive  noise  which  could  have 
been  the  equivalent  of  Coles'  "bark".  This  noise, 
however,  was  apparently  caused  by  the  periodic, 
spasmodic  contractions  of  the  mandibular,  pha- 
ryngeal, and  hypobranchial  musculature  of  the 
asphyxiating  ray,  which  forced  air  from  the 
mouth  cavity  out  of  the  gill  openings  through  the 
meshlike  branchial  filter  plates.  Although  under- 
water sonic  recordings  have  never  been  made,  it 
seems  unlikely  that  under  normal  circumstances 
any  audible  sound  could  be  produced  in  this  fash- 
ion by  submerged  mobulids. 

This  area  served  as  a  spring  and  summer  feed- 
ing and  mating  ground  for  adult  M.  japanica, 
rather  than  as  a  pupping  or  nursery  ground,  as 
indicated  by  the  lack  of  small-sized  specimens. 
Seasonal  abundance  of  M  .japanica  in  the  surface 
waters  was  indicated  by  the  catch  data  (Table  5) 
and  is  comparable  to  the  seasonal  abundance  of 
M .  thurstoni  (Fig.  6).  No  M .  japanica  were  ob- 
served in  March;  in  April  and  May  they  occurred 
occasionally.  By  mid-June  large  numbers  ap- 
peared in  the  nearshore  surface  waters  near 
Punta  Arena  de  la  Ventana,  and  were  easily  har- 
pooned. Most  of  the  July  mobulid  catch  consisted 
of  M  .japanica,  when  the  numbers  of  M.  thurstoni 
had  declined.  Data  are  lacking  for  the  August- 
October  period,  therefore  it  was  impossible  to  tell 
whether  the  peak  of  abundance  occurred  in  July 
or  later.  Fishermen's  reports  were  not  clear,  al- 
though there  was  agreement  on  an  overall  decline 
of  mobulid  abundance  in  late  summer.  Mobula 
japanica  fed  exclusively  on  the  euphausiid  A^yc- 
tiphanes  simplex,  and  its  numbers  apparently  de- 
clined concomitant  with  the  late  summer  decline 


Table  5. — Mean  number  of  daily  captures  of  Mob- 
ula japanica  (symbols  as  in  Table  1). 


Month 

a 

b 

X 

2SE 

SD 

range 

March 

0 

16 

0 

0 

0 

0-0 

April 

5 

13 

0.4 

0.36 

0.7 

0-2 

May 

3 

7 

0.4 

0.40 

0.5 

0-1 

June 

26 

15 

1.7 

1.02 

2.0 

0-6 

July 

39 

9 

4.3 

2.89 

4.3 

0-14 

59 


FISHERY  BULLETIN:  VOL  86,  NO.  1 


of  abundance  oC  their  prey  (Brinton  and 
Townsend  1980).  Some  M .  japanica ,  however,  in- 
cluding individuals  both  large  and  small,  were 
found  in  this  region  throughout  December.  Like 
M.  tharstoni ,  winter  catch  data  are  not  compara- 
ble because  of  differences  in  fishing  effort,  when 
M .  Japanica  is  apparently  caught  less  frequently. 

Mobula  miinkiatia 

NotJirbartolo-di-Sciara  1987 

Local  name:     tortilla 

Twenty-four  specimens,  10  males  (DW  range 
686-900  mm)  and  14  females  (719-1,097  mm), 
were  caught  at  four  stations  (Punta  Arena  de  la 
Ventana,  Ensenada  de  los  Muertos,  Bahia  de  los 
Frailes,  and  Isla  El  Pardito)  and  adjacent  waters, 
between  December  1982  and  October  1984.  Size- 
frequency  distributions  for  M.  munkiana  (Fig.  10) 
revealed  that  female  mean  size  was  greater  than 
male,  although  not  significantly  (T-value 
=  1.724,  df  =  22,P  >  0.1).  Seasonal  differences  in 
size-frequency  distribution  could  not  be  examined 
because  M .  munkiana  were  only  collected  during 
the  fall  and  winter.  All  10  freshly  captured  speci- 
mens were  weighed  (size  range:  686-1,097  mm 
DW;  4.1-11.8  kg).  Their  WT/DW  relationship  is 
described  by  the  following  equation: 

WT=  1.041  X  10-«(DW)2  34 
r  =  0.95. 

WT  is  given  in  kg,  DW  in  mm. 

The  largest  specimen  in  the  sample,  a  female, 
was  one  of  the  largest  "tortillas"  ever  seen.  There 
are  no  data  on  size  at  birth,  as  no  embryos  were 
found.  Lack  of  knowledge  of  the  size  of  the  young 
of  the  year  also  prevented  insight  on  size  segrega- 


>- 
o 

z 

LlJ 

o 

UJ 

q: 
u. 

LlI 


O 

CE 
< 


10 


5  - 


p?rn  r-p^ 


Xtot  =  886.5 ±33.4 mm  (M  =  24) 
X^^  =  853.8 ±  39.5mm  (N  =  IO) 
X^^  =909.9  ±47. 1  mm  (N:|4) 


D  TOTAL 
m  is 
0  ?? 


mm 


650  750  850  950  1050 
DISC  WIDTH  (mm) 

Figure  10. — Size-frequency  distribution.s  oi'  Mubula  munki- 
ana (means  ±2  SE). 


tion.  Term-embryos  in  M .  rochebrunei ,  a  closely 
related,  similar  sized  species  from  west  Africa, 
were  340-350  mm  wide  (Cadenat  1960).  Since 
Mobula  at  birth  has  a  DW  of  about  1/3  of  the 
adult,  size  at  birth  would  be  about  350  mm  DW. 
This  information  argues  in  favor  of  size  segrega- 
tion in  M.  munkiana.  Male  to  female  ratio  was 
0.71  (N  =  24),  insignificantly  different  from  1  (x" 
test  P  >  0.05).  Both  sexes  were  caught  in  the 
same  net  sets,  indicating  that  males  and  females 
school  together,  and  that  there  was  no  sex  segre- 
gation, either  geographic  or  behavioral. 

A  dried,  twisted  male  carcass,  for  which  mor- 
phometries could  not  be  obtained,  with  a  calcu- 
lated DW  of  895  mm,  had  long,  well-developed 
claspers,  markedly  protruding  beyond  the  pelvic 
fins.  Based  on  other  mobulid  species,  this  condi- 
tion indicates  sexual  maturity.  A  second  speci- 
men, with  a  disc  686  mm  wide,  had  small  and 
pliable  claspers,  and  the  ratio  between  clasper 
length  and  pelvic  fin  length,  both  measured  from 
tip  to  anterior  margin  of  vent,  was  0.88.  At  this 
ratio,  both  M.  thurstoni  and  M .  japanica  are  im- 
mature. Two  M .  munkiana ,  871  and  872  mm  DW, 
differed  greatly  in  the  relative  size  of  their 
claspers:  one  possessed  slightly  longer  claspers 
than  the  pelvic  fins  (ratio  =  1.10),  and  an  incipi- 
ent hardening  of  the  cartilage  was  apparent;  in 
the  other  specimen  the  claspers  were  much 
shorter  than  the  pelvics  (ratio  =  0.84),  and  still 
soft.  This  information  suggested  that  male  sexual 
maturity  in  M.  munkiana  began  at  about  870  mm 
DW. 

The  largest  female  specimen  was  sexually  ma- 
ture, as  it  had  a  large,  flaccid  left  uterus,  and  the 
enlarged  left  ovary  consisted  mainly  of  about  30 
macroscopic  ova  (size  range  2-15.2  mm). 

Ten  stomachs  were  examined:  four  were  empty, 
three  contained  unidentifiable  whitish  matter, 
and  three  were  full  of  planktonic  crustaceans.  A 
list  of  prey  species  ranked  by  decreasing  9rIRI  is 
given  in  Table  6.  Mysidium  sp.  appeared  to  be  the 
main  staple  of  M.  munkiana's  diet.  Mobula 
munkiana  is  thus  similar  to  the  wintering  young 
of  M.  thurstoni.  One  of  the  stomachs  contained 
coarse  coral  fragments  and  small  gastropod 
shells,  perhaps  ingested  by  the  ray  while  foraging 
on  mysids  near  a  sandy  substrate.  The  west 
African  species  M .  rochebrunei  appeared  to  have 
similar  feeding  habits,  as  Cadenat  (1960)  found 
mysids  and  a  few  larger  postlarval  stomatopods 
in  the  stomachs  of  several  specimens. 

I  have  no  record  of  remoras  associating  with 
M.  munkiana.    The    only    parasitic    crustacean 


60 


NOTARBARTOLO-Dl-SCIARA:  NATURAL  HISTORY  OF  MOBULA 


found  was  Pupulina  cf.  minor  (Copepoda:  Caligi- 
dae)  from  the  skin. 

Among M.  miinkiana's  distinguishing  features 
are  its  neritic  preferences  combined  with  its  so- 
cial habits.  This  is  the  only  mobulid  species  in  the 
Gulf  of  California  that  was  consistently  seen  in 
schools.  It  is  not  known  whether  this  is  a  seasonal 
behavior,  or  a  permanent  ethological  feature  of 
the  species.  Schools  appear  as  a  conspicuous  dark 
patch,  sometimes  a  few  tens  of  meters  in  diame- 
ter, as  they  slowly  cruise  along  the  coastline  in 
shallow  water.  The  presence  of  the  school  is  often 
also  highlighted  by  the  frequent,  simultaneously 
leaping  individuals,  which  betray  its  position 
from  a  long  distance.  Similar  behavioral  traits 
(schooling  and  leaping)  have  been  reported  for 
two  closely  related  species  from  the  Atlantic, 
M.  hypostoma  (Bancroft  1829;  Coles  1910,  1916a) 
and  M.  rochebrunei  (Cadenat  1960).  During 
leaps,  M.  munkiana  occasionally  reached  a 
height  of  about  two  DWs.  Two  types  of  leaps  were 
observed:  rising  vertically  head  first  and  landing 
flat  with  the  belly  on  the  sea  surface  with  a  loud 
clap  (breach),  and  spinning  one  to  three  times 
around  the  main  transverse  body  axis  (somer- 
sault). 

A  salient  feature  of  M.  munkiana's  ecology  in 
this  area  is  its  winter  occurrence  when  all  other 
mobulids  are  absent  or  at  their  lowest  numbers. 
Mobula  munkiana  apparently  subsists  then 
chiefly  on  the  mysid  shrimp,  Mysidium  sp.,  which 
is  also  the  main  food  for  young  wintering  M. 
thurstoni .  However,  M .  munkiana  frequents  the 
area  occasionally  in  summer:  two  specimens  were 
caught  by  surface  gill  net  in  Bahia  de  la  Ventana 
in  July  1983.  Even  during  the  season  in  which  it 
is  most  abundant,  M.  munkiana  is  seen  in 
"pulses",  as  its  occurrence  at  any  particular  loca- 
tion is  spotty.  It  may  occur  in  large  numbers  at 
one  location  for  a  few  days,  and  then  be  absent  for 
1  or  2  weeks.  This  observation  suggests  the  possi- 
bility that  M .  munkiana  lives  in  large  concentra- 


tions, perhaps  composed  by  several  schools,  which 
travel  along  the  coast.  A  similar  phenomenon  was 
observed  off  the  Senegal  coast  by  Cadenat  (1960) 
in  M .  rochebrunei,  a  species  which  is  closely  re- 
lated to  M.  munkiana  both  morphologically  and 
ecologically. 

It  is  conceivable  that  mobulids  in  the  northern 
half  of  the  eastern  tropical  Pacific  mate  and  give 
birth  in  summer,  based  on  the  few  term  and  near- 
term  embryos  found  in  summer  in  M .  thurstoni 
and  M .  japanica,  and  from  anatomical  evidence 
of  mating  activity  in  adult  males  M .  thurstoni 
and  M  .japanica .  That  such  a  hypothesis  can  also 
be  extended  to  M .  munkiana  is  supported  by  lack 
of  reproductive  activity  in  any  of  the  specimens 
collected  during  the  fall  or  winter,  and  that  new- 
born and  young-of-the-year  are  missing  from  the 
sample.  This  evidence  corroborates  the  hypothe- 
sis that  the  local  waters  are  a  wintering  ground 
for  M.  munkiana,  which  then  migrates  into  an 
unknown  area  (perhaps  the  northern  Gulf  of  Cali- 
fornia) during  the  warmer  season  for  mating  and 
pupping. 

The  possible  causes  of  this  ecological  difference 
between  M.  munkiana  and  the  other  mobulids 
are  many,  and  open  to  speculation.  Mysid  abun- 
dance may  be  declining  in  summer  in  the  south- 
ern Gulf  of  California,  and  M .  munkiana  perhaps 
migrates  to  areas  where  this  crustacean  or  re- 
lated species  abound  during  the  warmer  season. 
Alternatively,  M.  munkiana  could  be  excluded 
from  this  region  in  spring  by  competition  with  the 
incoming,  larger  M.  japanica  and  adult  M. 
thurstoni.  Finally,  M.  munkiana  may  be  moving 
during  the  summer  into  an  area  which  is  more 
suitable  for  its  reproductive  needs.  Unfortu- 
nately, this  recently  discovered  species  is  very 
little  known,  and  it  has  been  reported  only  from 
the  Gulf  of  California  and  Ecuador,  although  its 
distribution  probably  extends  to  other  coastal 
areas  of  the  tropical  east  Pacific  (Notarbartolo-di- 
Sciara  1987). 


Table  6^ — Prey  species  found  in  three  stomachs  of  Mobula  munkiana  ranked  by  decreasing 
Index  or  Relative  Importance  (symbols  as  m  Table  2).  Identifiable  copepod  species  included 
Undinula  vulgans,  Rhincalanus  nasutus,  and  Scolecithnx  danae.  The  stomatopods  found 
were  "erhithrus"  larvae.  One  unidentified  food  item  was  a  fragment  of  a  larger  crustacean, 
probably  an  euphausnd. 


Prey  species 


N 


°/oN 


M 


°/oM 


%F 


IRI 


%IRI 


Mysidium  sp.  293.40  97.80  287.40  95.80  100.00  19.360 

Stomatopod  larvae  4.65  1.55  9.06  3.02  66.67  304 

Copepoda  1.59  0.53  1.44  0.48  66.67  67.3 

Other  0.37  0.12  2.10  0.70  66.67  54.7 


97.84 
1.54 
0.34 
0.28 


61 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


Mob  III  (I  tarapacatm  (Philippi  1892) 
Local  name:     vaquetilla 

Mobula  tarapacann  is  not  a  common  species  in 
the  study  area.  Seven  specimens  were  collected, 
one  of  which,  a  premature  male  embryo,  was  ex- 
pelled by  a  large  female  while  she  was  being 
landed.  Of  the  postnatal  individuals,  two  were 
male  (DW  range  2,476-2,494  mm),  and  four  were 
female  (2,704-3,052  mm).  All  were  caught  in 
Bahia  de  la  Ventana  between  9  June  and  30  Octo- 
ber 1983.  All  but  two  of  the  specimens  were 
weighed.  The  following  equation  describes  the 
WT/DW  relationship  for  M.  tarapacana  (where 
WT  is  given  in  kg,  DW  in  mm): 

WT  =  2.378  X  10'*^(DW)2-92 
r  =  0.998. 

Although  all  sampled  postnatal  M .  tarapacana 
were  large,  smaller  individuals  are  known  from 
the  area,  as  can  be  seen  in  photographs  taken  at 
Punta  Arena  de  la  Ventana  in  summer  1981 
(courtesy  Felipe  Galvan  Magaha,  CICIMAR,  La 
Paz,  Mexico;  also  Greg  B.  Deets"^).  This  informa- 
tion argues  against  geographical  size  segregation 
of  M.  tarapacana .  Data  on  the  embryo  provide  no 
indication  of  size  at  birth,  since  it  was  still  far 
from  term.  Pale  pigmentation  was  apparent  only 
around  the  head  and  pelvic  regions,  and  the  ex- 
ternal yolk  sac  was  present  (Fig.  5B).  The  em- 
bryo, expelled  tail  first,  was  alive  at  birth.  Judg- 
ing by  its  size  it  had  filled  the  left  uterus 
completely  and  must  have  been  the  sole  develop- 
ing embryo. 

The  small  size  of  the  sample  does  not  permit 
any  clear  inference  on  size  at  sexual  maturity  for 
M .  tarapacana .  Some  indication,  however,  can  be 
obtained  by  comparison  with  similar  species.  Of 
the  two  postnatal  males,  the  specimen  with  a  disc 
2,476  mm  wide  appeared  to  be  immature:  no  sem- 
inal fluid  was  found  in  the  ducti  deferentes,  the 
testes  were  small  and  apparently  little  developed, 
and  the  ratio  between  clasper  length  and  pelvic 
fin  length  was  0.94.  Conversely,  the  second  post- 
natal male,  with  a  disc  of  approximately  the  same 
width  (2,494  mm),  possessed  claspers  longer  than 
pelvics  (ratio  =  1.14),  and  the  testes  were  well  de- 
veloped. Thus,  sexual  maturity  in  male  M .  tara- 
pacana begins  around  a  DW  of  2,400-2,500  mm. 


The  specimen  with  a  DW  of  2,704  mm,  one  of  two 
nonpregnant  females,  had  a  bulky  left  ovary,  con- 
taining numerous  large  eggs;  the  largest,  32  mm 
in  diameter,  weighed  12  g.  Similar  features  ap- 
peared to  be  associated  with  sexual  maturity  in 
female  M.  thurstoni  and  M.  Japanica.  The  left 
ovary  of  another  specimen,  DW  2,831  mm,  was 
smaller,  and  the  diameter  of  the  largest  ovum 
was  18.6  mm,  indicating  that  a  DW  of  2,700- 
2,800  mm  denotes  a  transitional  stage  for  female 
M.  tarapacana ,  in  which  both  mature  and  non- 
mature  individuals  can  occur. 

Twelve  echeneidids  were  recovered  from 
M .  tarapacana .  Three  were  Remora  remora  (size 
range:  108-229  mm  SL),  and  nine  were  R. 
albescens  (74-159  mm  SL).  The  following  crusta- 
cean parasites  were  also  found:  one  cymothoid 
isopod  (still  in  an  unidentifiable  aegathoid  stage) 
and  Pupulina  [lores  (Copepoda:  Caligidae)  on  the 
skin,  Entepherus  laminipes  (Copepoda:  Cecropi- 
dae)  on  the  branchial  filter  plates,  and  Eu- 
dactylina  sp.  (Copepoda:  Eudactylinae)  in  the 
gills. 

Mobula  tarapacana  is  strictly  a  summer  and 
fall  visitor  to  this  region  (Fig.  6C).  This  species  is 
often  found  farther  from  the  coast  than 
M .  thurstoni  and  M.  japanica,  and  may  have 
more  pelagic  habits.  Four  of  the  five  stomachs 
examined  (all  from  specimens  caught  in  summer) 
were  almost  empty.  Only  traces  of  food  were 
found  among  the  folds  of  the  stomach  epithelium. 
Prey  included  four  species  of  copepods  (Acartia 
sp. ,  Pontella  sp.,  Tetnora  discaudata ,  and  Undin- 
ula  vulgaris ),  hiperiid  amphipods,  one  brachi- 
uran  (family  Calappidae),  one  euphausiid,  two 
caridean  decapods  (one  of  which  belonged  to  the 
family  Alpheidae),  megalopa  and  stomatopod  lar- 
vae, and  a  fish  egg.  The  fifth  stomach,  from  a  late 
October  capture,  contained  the  remains  of  27 
fishes  (probably  carangids  15-30  cm  long,  and  a 
smaller  anchovy-like  species).  Small  tetraodon- 
tids  had  been  found  before  in  the  stomach  of  a 
M .  tarapacana  caught  in  Bahia  de  la  Ventana 
(Felipe  Galvan  Magaha'*).  On  this  basis  it  is  im- 
possible to  determine  whether  M.  tarapacana  is  a 
specialized  ichthyophagous  ray,  with  the  few 
crustacean  items  accidentally  ingested  while 
swimming,  or  a  generalized  feeder.  The  mesh  size 
of  this  species'  branchial  filter  plates  is  indeed 
greater  than  in  other  Mobula  species 
(Notarbartolo-di-Sciara    1987).    However,   filter- 


•*Greg  B.  Deets,  Long  Beach  State  University,  CA,  pens,  com- 
mun.  1984. 


^Felipe  Galvan  Magana,  CICIMAR,  La  Paz,  Mexico,  pers. 
commun.  1983. 


62 


NOTARBARTOLO-DI-SCIARA   NATURAL  HISTORY  OK  MOBrLA 


feeding  on  planktonic  Crustacea  still  appears 
to  be  a  feasible  foraging  technique  for  M.  tara- 
pacana,  judging  from  the  size  of  its  branchial 
sieve  as  it  compares  with  the  average-sized  crus- 
tacean prey. 

SUMMARY  AND  CONCLUSIONS 

Four  species  ofMobula  were  found  in  the  south- 
ern Gulf  of  California.  The  most  abundant  spe- 
cies, M.  thurstoni ,  was  present  year-round,  but 
only  the  smaller  individuals  were  seen  during  the 
winter.  The  bulk  of  the  population,  including  the 
adults,  appeared  in  early  spring.  Numbers  began 
declining  in  July.  Mobula  japanica ,  the  second 
most  abundant  species,  was  comprised  of  only 
large  individuals;  numbers  progressively  in- 
creased from  March  throughout  July.  Large  M. 
japanica  were  rare  in  winter,  but  were  occasion- 
ally caught  then.  Mobula  tarapacana  is  the  rarest 
mobulid  in  the  area,  yet  its  presence  as  a  summer 
and  fall  visitor  is  well  known  and  predictable;  it 
is  believed  by  the  local  fishermen  to  be  more 
abundant  farther  offshore.  All  three  species  share 
a  similar  pattern  of  peak  summer  seasonal  abun- 
dance. The  reverse  is  true  for  Mobula  munkiana , 
it  being  most  abundant  in  winter,  and  almost  to- 
tally absent  during  the  rest  of  the  year.  It  is  not 
known  where  any  species  goes  when  not  seen  in 
the  area.  Seasonal  migrations  within  the 
epipelagic  habitat  to  different  areas  of  the 
Panamic  region  are  likely,  but  unverifiable  be- 
cause of  the  present  lack  of  knowledge  of  the  oc- 
currence of  identified  Mobula  species  south  of  the 
Gulf  of  California.  Alternatively,  devil  rays  may 
spend  part  of  the  year  in  midwater,  or  near  the 
sea  bottom,  therefore  disappearing  from  sight  and 
reach. 

There  is  a  striking  similarity  between  the 
array  of  mobulid  species  found  in  the  Gulf  of  Cali- 
fornia (and  probably  along  the  Pacific  coast  of 
tropical  America)  and  the  mobulid  fauna  from  the 
tropical  waters  off  west  Africa.  The  family  is  rep- 
resented in  both  areas  by  Manta  birostris  and  by 
four  species  oi Mobula :  M .  thurstoni;  M  Japanica 
(reported  from  west  Africa  as  M.  rancureli  by 
Cadenat  1959);  M .  tarapacana  (reported  as  M. 
coilloti  for  African  waters  by  Cadenat  and  Ran- 
curel  1960  and  Stehmann  1981);  and  a  small  gi-e- 
garious  form,  represented  in  the  Gulf  of  Califor- 
nia by  M .  munkiana  and  off  west  Africa  by  the 
closely  related  M .  rochebrunei  (Notarbartolo-di- 
Sciara  1987).  Tropical  coastal  areas  off  west 
America  and  west  Africa  are  known  to  be  among 


the  most  productive  tropical  waters  in  the  world, 
because  of  comparable  large-scale  atmospheric 
and  oceanographic  circulation  patterns  (Sverdrup 
et  al.  1942).  It  is  conceivable  that  the  ecological 
similarity  between  these  two  regions  is  reflected 
in  similar  faunal  associations,  especially  as  far  as 
low  levels  of  the  tropic  chain  (e.g.,  plankton- 
feeding  vertebrates)  are  concerned. 

The  Gulf  of  California  presents  a  unique  envi- 
ronment in  the  eastern  Pacific  Ocean,  with  ex- 
treme annual  water  temperature  ranges,  wind- 
induced  mixing  and  upwellings,  and  subsequent 
great  productivity  (Roden  1964;  Brusca  1980). 
Upwelling  is  caused  along  the  peninsular  coast  by 
the  southerly  winds  prevailing  during  the 
warmer  months.  This  environment  apparently 
creates  optimal  conditions  for  the  existence  of  the 
euphausiid  shrimp  A^yc^/p/?a/?es  simplex ,  which  is 
found  in  great  abundance  in  the  neritic  habitat 
between  spring  and  midsummer,  before  the  in- 
tense August  heat  causes  a  decline  in  its  numbers 
(Brinton  and  Townsend  1980).  The  following  data 
are  combined  in  Figure  6  to  provide  an  overview 
of  the  possible  relationship  between  the  seasonal- 
ity of  predator  and  prey  in  the  study  area:  a)  the 
relative  importance  of  Nyctiphanes  simplex  and 
Mysidium  sp.  in  the  diet  of  M.  thurstoni;  b)  the 
relative  abundance  of  A'^.  simplex;  the  occurrence 
of  M.  tarapacana  (c)  and  M .  munkiana  (d)  in  the 
catch;  and  the  relative  abundances  of  M  .japanica 
(e)  and  M .  thurstoni  (f)  (no  data  on  the  biology  of 
Mysidium  sp.  are  available). 

Young  M .  thurstoni  and  all  M .  munkiana  ex- 
amined in  winter  appeared  to  subsist  largely  on 
Mysidium  sp.,  whereas  adult  M.  thurstoni  and 
M .japanica  caught  during  the  warmer  months 
fed  exclusively  on  N .  simplex .  An  extreme  degree 
of  feeding  specialization  was  evident  in  all  mobu- 
lid species  in  which  quantitative  analyses  of  the 
stomach  contents  was  possible;  most  prey  forms, 
other  than  N .  simplex  and  Mysidium  sp.,  were  so 
rare  that  they  were  probably  ingested  acciden- 
tally. Stenophagy  was  linked  to  feeding  special- 
ization in  another  myliobatiform  species,  the 
mollusk-feeder  Rhinoptera  bonasus  (Schwartz 
1966;  Smith  and  Merriner  1985).  These  results 
suggest  that  devil  rays  are  highly  efficient  in  lo- 
cating and  selecting  their  preferred  food.  They 
may  be  aided  during  this  behavior  by  their  prey's 
habit  of  swarming.  Competitive  interaction  is  to 
be  expected  between  sympatric  species-pairs 
which  are  closely  related  both  taxonomically  and 
ecologically.  Food-resource  partitioning  is  known 
to   occur   in   sympatric   species-pairs   of  skates 


63 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


(McEachran  et  al.  1976).  This  condition,  however, 
is  not  necessarily  true  when  the  sought-after  re- 
sources are  not  in  short  supply  (Zaret  and  Rand 
1971).  This  may  be  the  case  of  M.  thurstoni  and 
M .  japanica  feeding  together  on  A^.  simplex  when 
the  abundance  of  euphausiids  is  at  its  peak.  Com- 
petition should  occur,  however,  in  late  summer, 
when  prey  numbers  decline.  It  would  be  interest- 
ing to  determine  whether  the  slight  morphologi- 
cal and  behavioral  differences  between  poten- 
tially competing  species  pairs  (M.  thurstoni/ 
M.  munkiana  in  winter,  M.  thurstoni IM .  japan- 
ica in  spring  and  summer)  influence  or  reflect 
partitioning  of  their  habitat  when  food  resources 
become  limiting,  as  was  described  for  both  fresh- 
water (Werner  and  Hall  1977)  and  marine 
teleosts  (Hixon  1980;  Larson  1980). 

This  overview  of  the  ecology  and  natural  his- 
tory of  mobulids  in  the  Gulf  of  California  is  based 
on  field  investigations  made  chiefly  in  1983,  a 
year  in  which  the  El  Nino  perturbation  was  par- 
ticularly severe  (Cane  1983).  Although  in  terms 
of  fishermen's  experience  the  year  1983  was  not 
unduly  different,  as  far  as  mobulid  relative  abun- 
dance and  seasonality  are  concerned,  the  abnor- 
mally high  water  temperatures  resulting  from  El 
Nino  may  have  affected  the  devil  rays  studied  in 
subtle  ways;  therefore  this  investigation  should 
be  repeated  in  a  normal  year. 

According  to  the  fishermen,  the  abundance  of 
sharks  (mostly  carcharhinids  and  sphyrnids)  on 
which  their  activity  is  based  is  declining.  This 
decline  will  probably  result  in  an  increase  of  mob- 
ulid fishing  effort.  It  is  of  concern  that  12%  of  the 
specimens  of  M.  thurstoni  caught  were  immature 
(DW  <1,500  mm). 

ACKNOWLEDGMENTS 

I  owe  deep  gratitude  to  the  many  persons  who 
assisted  me  in  this  investigation:  Richard  H. 
Rosenblatt,  Theodore  H.  Bullock,  Paul  K.  Dayton, 
William  E.  Evans,  and  Walter  H.  Munk,  mem- 
bers of  my  doctoral  committee;  Edward  Brinton, 
Robert  Cowen,  Abraham  Fleminger,  Nicholas 
Holland,  Margaret  Knight,  Spencer  Luke, 
William  Newman,  Mark  Grygier,  Jeff 
Schweitzer,  George  Shor,  George  Snyder,  and 
Fred  White  of  the  Scripps  Institution  of  Oceanog- 
raphy; Thomas  Bowman  (United  States  National 
Museum,  Washington,  D.C.);  Daniel  Brooks  (Uni- 
versity of  British  Columbia,  Vancouver);  Greg 
Deets  (Long  Beach  State  University);  Dennis 
Bedford  and  Robert  Lea  (California  Department 


of  Fish  and  Game);  Fay  Wolfson  (Hubbs  Marine 
Research  Institute);  Alexis  Fossi  (Institut  Na- 
tional des  Techniques  de  la  Mer,  Cherbourg, 
France);  Felipe  Galvan  Magaiia  (Centro  Inter- 
diciplinario  de  Ciencias  Marinas,  La  Paz,  Mex- 
ico); Lalo  Cuevas,  Marcelo  Geraldo,  Juan  Lucero, 
and  their  colleagues  of  the  Cooperativa  Pesquera 
de  Punta  Arena  de  la  Ventana;  Steven  Kramer 
(National  Marine  Fisheries  Service,  Honolulu, 
Hawaii);  Carl  A.  Jantsch  and  Steven  D.  Kamol- 
nich  (Sea  World,  Inc.,  San  Diego).  The  Hubbs 
Marine  Research  Institute  (San  Diego)  loaned  a 
sailing  vessel,  the  "Fling",  for  the  field  study; 
Rodney  Black  helped  in  the  outfitting  of  the  ves- 
sel and  in  sailing  it  to  the  Gulf  of  California.  This 
investigation  was  supported  in  part  by  a  grant 
from  the  Foundation  for  Ocean  Research  (San 
Diego). 

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description  of  a  new  species.     Zool.  J.  Linn.  Soc.  91:1-91. 

In  press.     Myliobatiform  rays  fished  in  the  southern  Gulf 

of   California    (Baja    California    Sur,    Mexico)    (Chon- 

drichthyes:  Myliobatiformesl.     Proc.  Fifth  Symposium  of 

Marine  Biology,  La  Paz,  B.C.S.,  Mexico.  24-26  Oct.  1984. 

Pequeno.  G 

1983.  La  condrictiofauna  de  las  regiones  de  Chile  y 
California-Oregon:  comparacion  preliminar.  In  P.  M. 
Arana  (editor).  Proceedings  of  the  International  Confer- 
ence on  Marine  Resources,  p.  253-267.  Pacific,  Vina  del 
Mar,  Chile. 
Phii.ippi.  R  A 

1892.     Algunos  peces  de  Chile.     An.  Mus.  Nac.  Chile,  Sec. 
1,  Zool.  3:1-17. 
PiNKAS.  L.MS  Oliphant.  and  I  L  K  Iverson 

1971.     Food  habits  of  albacore,  bluefin  tuna,  and  bonito  in 
Californian  waters.     Calif  Dep.  Fish  Game  Fish  Bull. 
1.52,  p.  1-82. 
RiSSO.  A 

1810.  Ichtyologie  de  Nice,  ou  histoire  naturelle  des  pois- 
sons  du  departement  des  Alpes  Maritimes.  Paris  F. 
Schoell,  388  p. 

1826.     Histoire  naturelle  des  principales  productions  de 
1  Europe  meridionale  et  particulierement  de  celles  des 
environs  de  Nice  et  des  Alpes  Maritimes.  Vol.  3.     Paris: 
F.  G.  Levrault,  480  p. 
RODEN,  G  I 

1964.     Oceanographic  aspects  of  Gulf  of  California.     Am. 
Assoc.  Pet.  Geol.,  Symp.  Mar.  Geol.  Gulf  Calif  3:30-58. 
Schwartz.  F  J 

1966.  Embryology  and  feeding  behavior  of  the  Atlantic 
cownose  ray,  Rhmoptera  honasus.  Assoc.  Islands  Mar. 
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p.  15. 


SETNA,  S.  B  ,  AND  P,  N,  Sarangdhar 

1950.     Breeding  habits  of  Bombay  elasmobranchs.     Rec. 
Indian  Mus.  (Calcutta I,  47:107-124. 
Smith.  J  W  .  and  J.  V.  Merriner, 

1985.  Food  habits  and  feeding  behavior  of  the  cownose 
ray,  Rhmoptera  honasus,  in  lower  Chesapeake 
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1986.  Observations  on  the  reproductive  biology  of  the 
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1960.     Natural  history  of  the  sandbar  shark  Eulamia  mil- 

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Stehmann,  M 

1981.     Batoid  fishes.     /«  W.  Fischer,  G.  Bianchi,  and  W.  B. 
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Sverdrup,  H.  U  ,  M  W  Johnson,  and  R  H  Fleming 

1942.     The  oceans.     Prentice-Hall,  N.Y.,  1087  p. 
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1971.     Sound  production  and  detection.     In  W.  S.  Hoar 
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1967.     The   batoid   fishes   of  the   east  coast  of  southern 
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Werner,  E  E  ,  and  D  J  Hall 

1977.     Competition   and   habitat   shift    in   two   sunfishes 
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1977.     Reproduction  and  development  of  chondrichthyan 

fishes.     Am.  Zool.  17:379-410. 
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the  competitive  exclusion  principle.  Ecology  52:336— 
342. 


66 


NOTES  ON  DECAPOD  AND  EUPHAUSIID  CRUSTACEANS, 
CONTINENTAL  MARGIN,  WESTERN  ATLANTIC,  GEORGES  BANK 

TO  \XTSTERN  FLORIDA,  USA 

Austin  B  Williams' 

ABSTRACT 

Twenty-six  species  of  decapod  crustaceans  in  16  families  and  1  species  of  euphausiid  are  reported  from 
the  outer  continental  shelf,  submarine  canyons,  and  nearby  slope  of  the  eastern  and  southeastern 
United  States.  Station  data  are  given  for  all  collections  made  with  the  aid  of  submersible  and  surface 
vessels.  Bathymetric  and  geographic  distributions  are  summarized  for  six  species  (Lithodes  maja, 
Munida  forceps.  M.  longipes,  Chacellus  filiformis,  Dissodactylus  juvenilis .  Euchirograpsus  ameri- 
canus  )  whose  ranges  are  extended.  Comparative  descriptive  notes  are  given  for  other  forms  that  have 
uncertain  identities  and  need  further  study  (Alpheus  cf.  amblyonyx,  sp.  near  Ligur.  Mumdopsis  cf. 
transtridens  ). 


Records  of  decapod  crustaceans  from  the  outer 
continental  shelf,  submarine  canyons,  and 
nearby  slope  off  the  eastern  United  States  have 
accumulated  in  my  files  to  the  point  that  it  seems 
appropriate  to  publish  them  with  notes  on  the 
samples  taken  in  that  habitat.  Specimens  were 
collected  with  the  aid  of  deep  and  shallow  water 
submersibles  and  surface  vessels  operated  cooper- 
atively by  the  Lamont-Doherty  Geological  Labo- 
ratory, Columbia  University,  Palisades,  NY.  with 
sponsors  listed  hereinafter,  and  between  Rutgers 
University,  Center  for  Coastal  and  Environmen- 
tal Studies,  and  Department  of  Horticulture  and 
Forestry,  New  Brunswick.  NJ;  the  Northeast 
Fisheries  Center.  National  Marine  Fisheries  Ser- 
vice (NMFS).  NOAA,  Woods  Hole.  MA;  and  the 
Southeast  Fisheries  Center  Laboratories,  NMFS. 
NOAA,  at  Panama  City,  FL,  and  Pascagoula,  MS 
(Able  et  al.  1982,  1987;  Grimes  et  al.  1980a.  1986; 
and  Lamont-Doherty  records).  Vessels  (see  Table 
1 1  and  their  sponsoring  institutions  were  DSRV 
Alvm,  Woods  Hole  Oceanographic  Institution, 
Woods  Hole,  MA;  RV  JSL  I  and  JSL  II,  Harbor 
Branch  Oceanographic  Institution,  Inc.,  Fort 
Pierce,  FL;  RV  Cape  Henlopen  ,  University  of  Del- 
aware, Lewes,  DE;  RV  Eastward ,  Duke  Univer- 
sity, Beaufort.  NC;  RV  Endeavor,  University  of 
Rhode  Island,  Kingston,  RI;  RV  Gyre,  Texas 
A&M  University,  Galveston,  TX.  The  specimens 
have  been  deposited  in  the  crustacean  collection 


'Systematics  Laboratory,  National  Marine  Fisheries  Service, 
NOAA.  U.S.  National  Museum  of  Natural  History,  Washing- 
ton. DC  20560 


Manuscript  accepted  August  1987. 
FISHERY  BULLETIN:  VOL.  86.  NO.  1,  1988. 


of  the  United  States  National  Museum  of  Natural 
History  (USNM). 

Bathymetric  and  geographic  distributions  of 
many  decapod  crustacean  species  from  the  North 
American  continental  shelf  in  the  western  At- 
lantic were  reviewed  by  Squires  (1965),  Williams 
and  Wigley  (1977),  Wenner  (1982),  and  Williams 
(1984).  Wenner  and  Boesch  (1979)  and  Wenner 
and  Windsor  (1979)  included  a  deeper  dwelling 
component  in  their  treatments  of  epibenthic  deca- 
pods collected  from  the  continental  shelf  and 
slope.  Collections  by  workers  from  the  contribut- 
ing institutions  listed  above  include  26  species  of 
decapod  crustaceans  in  16  families,  some  uniden- 
tified fragments,  and  1  species  of  euphausiid 
listed  in  Table  1.  Named  localities  are  listed  from 
north  to  south  (see  Figures  1  and  2);  successive 
visits  are  arranged  chronologically,  and  species 
present  in  each  collection  are  inventoried  alpha- 
betically. 

Species  whose  reported  bathymetric  or  geo- 
graphic ranges  are  extended  by  presence  in  these 
collections  are  discussed  below.  Some  of  the  forms 
have  uncertain  identities  that  may  be  clarified 
after  more  thorough  study  of  samples  from  the 
outer  shelf-upper  slope  environment. 


SUPERFAMILY  ALPHEOIDEA 

Family  Alpheidae 

Alpheus  cf.  amblyonyx  Chace  1972.  Three  lots  of 
specimens  key  out  to  A.  amblyonyx  (see  Chace 
1972),  but  they  differ  in  several  respects  from  it. 

67 


FISHERY  BULLETIN:  VOL.  85,  NO   1 

Table  1 . — Records  of  decapod  crustaceans  from  submarine  canyons,  outer 
listed  from  norlti  to  south,  successive  visits  are  arranged  chronologically,  and 
in  footnote.     '  =  Bathymetric  or  geographic  range  extension. 


Locality 

Depth                  Cruise/ 
(m)                     station 

Date 

W 

■w 

39.97'W 

Lydonia  Canyon 
40^21 'N,  67  41 
40°22'N,  67' 41 
40°21.69N,  67 

700-790          Gyre 
462                  Alvin  1269 
906                 Alvin  1270 

8  June  1982 

18  Sept.  1982 

19  Sept.  1982 

Oceanographer  Canyon 

40"23.7'N,  68'07.8'W 

415-680 

Eastv/ard 
35982 

15  IVIay  1979 

40^6  3'N,  68'07.2'W 

660-1,424 

Eastward 
35991 

19  IVIay  1979 

Slope  Area  III  between  Hydrographer  and  Veatch  Canyons 

39°50'N,  69°25'W 

500-2,000 

Endeavor 

21  Oct.  1981 

Slope  Area  II  betv^^een  Toms  and  Meys  Canyons 

39°13.05'N,  72°30.93'W 

174 

JSL  1  1081 

1  Aug.  1981 

39°12.64'N,  72"30.87'W 

200 

JSL 1 1081 

1  Aug.  1981 

39  11.06' N,  72°33.66'W 

219 

JSL 1 1082 

1  Aug.  1981 

Hendnckson  Canyon 

39°03.52'N,  72°28.45W 

1,420-1,425 

Alvin  1118 

19  July  1981 

Baltimore  Canyon 

38  09.6'N,  73  49.2'W 

155-160 

Eastward 
35940 

2  May  1979 

38°07.9'N,  73°48.8'W 

185-190 

Eastward 
35938 

2  IVIay  1979 

38°08.5'N,  73°49.9'W 

280-570 

Eastward 
35944 

2  IVIay  1979 

38°09.6'N,  73°49.2'W 

155-160 

Eastward 
35940 

2  IVIay  1979 

38°08.7N,  73°49.3'W 

148-174 

Eastward 
35939 

2  IVIay  1979 

38°11.7'N,  73°52.8'W 

1 50-245 

Eastward 
35942 

2  IVlay  1979 

38°03.6'N,  73°46.2'W 

910-925 

Eastward 
35946 

3  IVIay  1979 

38  07.6'N,  73°46.8'W 

152-163 

Eastward 
35947 

3  May  1979 

38''06'N,  73=50'W 

200-800 

Eastward 
35979 

7  May  1979 

38°04.93'N,  73°47.79'W 

1,024 

Alvin  1109 

11  July  1979 

38°08'N,  73°50.7'W 

600-700 

B10-1 

28  May  1981 

34°04'N,  73°46'W 

1,000-1,200 

Cape  Henlopen 
CM02 

13  June  1981 

38°09'N,  73°51'W 

171-381 

JSL  1  1083 

2  Aug.  1981 

38°09.99'N,  73'51.86'W 

381 

JSL  1  1083 

2  Aug.  1981 

38°11'N,  73°51'W 

165 

JSL  1  1088 

4  Aug.  1981 

38°11'N,  73°51'W 

165-244 

JSL  1  1088 

4  Aug.  1981 

38°10.1'N,  73°52.2'W 

225 

JSL  1  1084 

4  Aug.  1981 

68 


WILLIAMS:  DECAPOD  AND  EUPHAUSIID  CRUSTACEANS 

continental  shelf  and  upper  slope  off  the  eastern  United  States.  Named  localities  are 
species  inventoried  in  each  collection  are  listed  alphabetically.     Family  abbreviations 


Species 


N.  Sex 


Notes,  familyi 


■   Lamont- 

Doherty  -- 

Munida  valida  Smith 
Pagurus  politus  (Smith) 
'Munidopsis  cf.  transthdens 

Pequegnat  and  Pequegnat 
Pandalus  propinquus 

G  0.  Sars 

Id 

19 

Dredge.  Ga 

Pag 

Ga 

Pan 

Panadalus  propinquus 

Id,  39 

Day  dredge. 

Metacrangon  lacqueti  agassizii 

Id 

Dredge,  Cr 

(Smith) 


Nematocarcinus  ensifer  (Smith)      1  spec. 


Camera.  N 


Euprognatha  rastellifera 

1  9  ovig. 

M 

Stimpson 

'Euchirograpsus  americanus 

19 

Gr 

Eumunida  picta  Smith 

19 

Ch 

Munida  ins  ins 

1d 

Ga 

A.  Milne  Edwards 

(parasitized) 

'Munidopsis  cf.  transtndens 


Id 


Ga 


Cancer  borealis  Stimpson 

1  juv. 

Can 

'Euchirograpsus  americanus 

1  d ,  3  9 

Gr 

A.  Milne  Edwards 

Euprognatha  rastellifera 

Id 

Day  dredge.  M 

Cancer  borealis 

19 

Day  dredge,  Ca 

Euprognatha  rastellifera 

Id 

Day  dredge,  M 

'Munida  longipes 

1d,  29  ovig. 

Day  dredge,  Ga 

A.  Milne  Edwards 

Pagurus  politus  (Smith) 

19 

Day  dredge,  Pa 

'Chacellus  filiformis  Guinot 

Id 

Day  dredge.  Go 

Euprognatha  rastellifera 

Id 

Day  dredge,  M 

Munida  ins  ins 

3d,  39 

Day  dredge,  Ga 

Plesionika  edwardsii  (Brandt) 

1  9  ovig. 

Day  dredge.  Pan 

Cancer  borealis 

2  juv. 

Day  dredge,  Ca 

Cancer  irroratus  Say 

Id 

Day  dredge,  Ca 

Euprognatha  rastellifera 

Id 

Day  dredge,  M 

Cancer  borealis 

Id 

Day  dredge,  Ca 

Sergestes  arcticus 

19 

Day  dredge,  S 

Collodes  robustus  Smith 

1  9  ovig. 

Day  dredge,  M 

Eumunida  picta 

4  juv..  Id,  59 

Camera  sled,  Ch 

Lebbeus  polaris  (Sabine) 

19 

Camera  sled,  H 

'Munidopsis  cf.  transtridens 

1d 

Airplane  wreck,  Ga 

Sergestes  arcticus  Kroyer, 

99 

Bongo  net,  S 

euphausiid  and  copepods 

Sergestes  arcticus 

19 

Bongo  net,  S 

Bathynectes  longispina 

Id 

Po 

Stimpson 

'Lithodes  maja  (Linnaeus) 

19 

L 

Cancer  irroratus 

Id 

Ca 

Munida  ins  ins 

Id 

Ga 

Munida  ins  ins 

Id 

Ga 

Pagurus  politus 

Id 

Pag 

69 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


Table  1. — Continued. 


Depth 

Cruise/ 

Locality 

(m) 

station 

Date 

38' 09.51 'N,  73°51.25'W 

338 

JSL  1  1089 

5  Aug.  1981 

38'11'N,  73  SrW 

402 

JSL  1  1090 

5  Aug.  1981 

38  02N,  73  45'W 

200-1,400 

Gyre 

26  May  1982 

Norfolk  Canyon 

37°03'N,  74°37'W 

215 
Rutgers 

JSL  1  1093 

7  Aug.  1981 

Lydonia  Canyon 

40'27.25'N,  67°42.30'W 

160-178 

JSL  1  1070 

23  July  1981 

Veatch  Canyon 

40  03'20"N,  69  45'23"W 

124-126 

JSL  1  1074 

25  July  1981 

40TO00"N,  69°45'25"W 

123-128 

JSL  1  1075 

26  July  1981 

39  59'51"N,  69°35'00"W 

213-244 

JSL  1  1076 

26  July  1981 

40"00.91'N, 

70°50.79'W 

243-304 

JSL  II  901 

29  July 

1984 

40  0 1.29 'N, 

7050.63'W 

4003.24N, 

71  05.01 'W 

193-209 

JSL  II  902 

29  July 

1984 

40"02.96N, 

70  20.84'W 

181-195 

JSL  II  909 

2  Aug. 

1984 

40'12.73'N, 

70'19.77'W 

103-104 

JSL  II  910 

2  Aug. 

1984 

40  12.51 'N, 

70'20.22'W 

103-104 

JSL  II  910 

2  Aug. 

1984 

40"02.79'N, 

70  11.95'W 

183-337 

JSL  II  911 

3  Aug. 

1984 

40°03.23'N, 

70''12.0rW 

213-327 

JSL  II  912 

3  Aug. 

1984 

Off  eastern  Florida 
28=43'N,  80  02'W  137  JSL  I  1565  1  Oct.  1984 


28°42.5'N,  80°02.8'W  98-114  JSL  I  1566  2  Oct.  1984 


Off  western  Florida 
27=51 .2N,  84°53.7'W  250-260  JSL  I  1673  24  Sept.  1985 


27°56.2'N,  84°43.9'W  167-175  JSL  I  1676  26  Sept.  1985 


'A,  Alpheidae;  Cal,  Calappidae,  Can.  Cancndae;  Ch,  Cliirostylidae;  Cr,  Crangonidae;  Ga, 
M,  Majidae.  N,  Nematocarcinidae:  Pag,  Paguridae;  Pan,  Pandalidae;  Pi,  Pinnotheridae;  Po, 


70 


WILLIAMS:  DECAPOD  AND  EUPHAUSIID  CRUSTACEANS 


Species 


N.  Sex 


Notes,  family' 


Rochinia  crassa 

A  Milne  Edwards 
Pandalus  propmquus 
Sergestes  arcticus 


Id 

29 
36 


M 

Pan 

Camera,  S 


Bathynectes  longispina 


1  juv. 


Rutgers 


Po 


'Munida  forceps 

A.  Milne  Edwards 


IcJ 


Bot  t   1 1  2°C,  Ga 


Munida  ins  ins 
Pagurus  politus 
Acanthocarpus  alexandn 

Stimpson 
'Chacellus  filiformis 


'Munida  forceps 

Munida  ins  ins 

'Alphieus  cf.  amblyonyx  Chace 
'Alpfieus  cf.  amblyonyx 
Munida  ins  ins 
'Munida  forceps 
'Goneplacid''  crab 
'Chacellus  filiformis 
'Munida  forceps 
'Munida  forceps 
Meganyctipfianes  norvegica 

(M.  Sars) 
'Munida  forceps 
'Chtacellus  filiformis'^ 
Meganyctiptianes  novegica 
Meganyctiphanes  novegica 
Meganyctiptianes  novegica 


Alpfieus  cf.  amblyonyx 

Munida  forceps 

Crab  (xanthid  or  goneplacid 

frags.) 
'Alpfieus  cf.  amblyonx 


Munida  forceps 


Id,  42  ovig. 

Bot.  t. 

1 1 .4'C,  Ga 

1d 

Bot.  t. 

11.4  C,  Pag 

29 

Bot.  t. 

11.5  C,  Ca 

36  (1  JUV.) 

Bot.  t. 

11.2  C,  Go 

49  (1  juv., 

3  ovig.) 

Bot.  t. 

12.2'C,  Ga 

1  (5 ,  1  2  ovig. 

Bot.  t. 

12.2'C,  Ga 

Id 

1d 

H 

1   JUV, 

H 

Id 

Ga 

1d 

Ga 
Go 

Id, 19 

Go 

2d 

Ga 

1d 

Ga 

1 

E 

1  juv.,  1  I  ovig 

Ga 

Frag,  of  chela 

Go 

45 

E 

2 

E 

8 

E 

2d,  19,  1  JUV. 

Tilefisfi  burrow,  A 

29 

Tilefisl 

T  burrow,  Ga 

1 

Tilefish  burrow,  Ga 

19 

Tilefish  burrow,  Ga 

12.1 

C,  A 

1 

Tilefishi  burrow,  Ga 

*Near  Ligur  Sarato 
'Munida  forceps 

'  Dissodactylus  juvenilis 
Bouvier 


2d.  1  9  Tilefish  burrow.  Hi 

Id,  25  ovig.  Tilefish  burrow,  Ga 

1  juv. 
1  V  ovig.  With  Clypeaster 

ravenellii  A. 

Agassiz,  13.8'C,  Pi 


Galatheidae.  Go.  Goneplacidae;  Gr,  Grapsidae:  E.  Euphausiidae;  H,  Hippolytidae;  L.  Lithodidae; 
Ponunidae;  S,  Sergestidae. 


71 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


69 

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Figure  l. — East  coast  of  United  States  showing  continental  shelf,  slope  and  submarine  canyon 
areas  from  which  species  listed  in  Table  1  were  collected.  Base  map  adapted  from  Uchupi  ( 1965)  and 
Veatch  and  Smith  (1939).  Contours  m  m:  dotted  =  100,  dashed  =  200,  solid  =  1,000. 


72 


WILLIAMS:  DECAPOD  AND  EUPHAUSIID  CRUSTACEANS 


83  31 


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Figure  2. — Florida  peninsula  including  continental  platform  showing  slope  localities  from  which  species  listed 
in  Table  1  were  collected.  Base  map  adapted  from  Uchupi  (1965).  Contours  in  m;  dotted  =  100,  dashed  =  200, 
solid  =  1.000. 


Some  of  the  more  obvious  differences  for  the 
Veatch  Canyon  material  are:  Rostrum  relatively 
shorter  in  relation  to  basal  antennal  article.  Dor- 
sal spines  of  telson  more  distally  positioned,  ante- 
rior pair  at  about  midlength  of  telson  but  subject 
to  some  variation.  Antennal  scale  with  distal 
spine  exceeding  antennular  peduncle.  Major 
chela  of  mature  male  missing,  but  juvenile  with 
fingers  bent  mesad;  dactyl  moderately  arched  in 
profile  and  greatly  overreaching  fixed  finger, 
somewhat  twisted,  compressed  proximally  and 
dorsally  producing  thin  dorsal  margin,  external 
surface  somewhat  concave,  occlusive  surface 
lacking  plunger  but  broadened  and  strongly  calci- 
fied distally,  fitted  to  obliquely  flattened  occlu- 
sive surface  of  fixed  finger  lacking  socket  but 
provided  with  small  stout  tooth  on  mesial  sur- 
face; palm  with  obsolescent  dorsal  and  ventral 
notches. 

In  the  Florida  material,  the  differences  are: 
Chela  relatively  stout,  fingers  stout  and  thick, 
dactyl  opening  and  closing  in  oblique  plane,  tip 
rounded,  bearing  short  plunger  fitting  into  shal- 
low socket  on  occlusive  surface  of  fixed  finger, 
latter  with  2  short  spines  on  mesial  surface;  palm 
with  shallow  notch  on  dorsal  margin  and  slight 


offset  on  ventral  margin,  outer  surface  smooth 
but  base  of  dactyl  flanked  by  distodorsal  groove 
and  longer  mesial  groove.  Second  pleopod  of  male 
with  appendix  masculina  exceeding  appendix  in- 
terna. Uropodal  exopod  with  lateral  margin  end- 
ing in  single  sharp  tooth  and  rather  long,  uncol- 
ored  movable  spine;  endopod  lacking  distal  spines 
but  bearing  subterminal  tuft  of  setae  on  dorsal 
surface. 

Alpheus  amblyonyx  is  distributed  from  Quin- 
tana  Roo  (type  locality,  Bahia  de  la  Ascen- 
sion), Yucatan  Peninsula,  Mexico,  to  Puerto  Rico, 
Saint  Thomas  and  Dominica;  sublittoral  (Chace 
1972). 

Family  Hippolytidae 

Three  small  shrimps,  two  males  and  one  female 
from  JSL  1673  in  the  Gulf  of  Mexico  off  Florida, 
represent  an  undescribed  species  resembling 
members  of  the  genus  Ligur  Sarato,  1885  from 
the  western  Mediterranean  and  Indo-Pacific  re- 
gion (see  Holthuis  1947,  1955).  The  specimens 
were  associated  with  burrow  systems  of  the  blue- 
line  tilefish,  Caulolatilus  microps  Goode  and 
Bean. 


73 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


SUPERFAMILY  PAGUROIDEA 

Family  Lithodidae 

Lithodes  maja  (Linnaeus  1758).  Southern  limit 
extended  from  Sandy  Hook,  NJ  (see  Williams 
1984)  to  Baltimore  Canyon. 

SUPERFAMILY  GALATHEOIDEA 

Family  Galatheidae 

Munida  forceps  A.  Milne  Edwards  1880. 
Geographic  range  extended  from  south  of  Norfolk 
Canyon,  36°43.2'N,  74°38.0'W,  252  m  (Wenner 
1952),  to  Veatch  and  Lydonia  Canyons  off  south- 
ern New  England,  103-337  m. 

The  distinctive  color  pattern  of  this  species  was 
described  on  14  October  1981  from  specimens  pre- 
served in  formalin  25  July  1981.  Carapace  (Fig. 
3),  salmon  color  with  lavender  submesial  spots  on 
gastric  region  and  interrupted  U-shaped  bands  of 
same  color  in  nested  series  on  mesogastric  region, 
posterior  to  cephalic  groove,  and  arching  across 
posterior  and  posterolateral  parts.  Oblique  red 
lines  on  lateral  wall  of  carapace  below  suture, 
most  prominent  band  along  anterior  edge,  contin- 
ued dorsally  anterior  to  antennal  peduncle  and 
ending  on  lateral  side  of  supraocular  spine.  Me- 
dian band  of  same  intensity  on  epistome  and 
labium.  Paler  oblique  lateral  band  on  basal  an- 
tennular  article.  Some  flecks  of  red  on  merus  of 
chelipeds  and  cross  banding  on  fingers  of  some 
individuals. 

Munida  longipes  A.  Milne  Edwards  1880. 
Northern  limit  extended  from  off  Cape  Lookout, 
NC  (Williams  1984)  to  Baltimore  Canyon. 

Munidopsis  cf.  transtridens  Pequegnat  and  Pe- 
quegnat  1971.  Munidopsis  transtridens  is 
known  only  from  the  holotype  female  taken  in  the 
southeastern  Gulf  of  Mexico  at  1,280  m.  The  spec- 
imens reported  here  from  Baltimore,  Hendrick- 
son,  and  Lydonia  Canyons  off  New  Jersey  and 
southern  New  England,  906-1,425  m,  are  all 
males.  They  resemble  M.  transtridens  but  differ 
from  it  in  rostral  characters  (both  longer  and 
shorter,  variably  narrower  or  broader,  in  degree 
of  lateral  convexity)  and  in  having  chelae  strik- 
ingly larger  than  the  slender  ones  of  the  holotype. 
Although  these  differences  may  be  attributable  to 
sexual  dimorphism,  provisional  identification 
seems  best  until  more  material  is  available  for 
study. 


Figure  3. — Munida  forceps,  male.  Dorsal  view  of  carapace,  dia- 
grammatic representation  of  lavender  bands  on  salmon  ground 
color,  carapace  length  17.7  mm  to  base  of  supraocular  spine. 


SUPERFAMILY  XANTHOIDEA 

Family  Goneplacidae 

Chacellus  filiformis  Guinot  1969.  Geographic 
range  extended  from  the  northern  Gulf  of  Mexico 
east  of  the  Mississippi  River  Delta  and  off  the  east 
coast  of  Florida,  328-400  m  (Guinot  1969),  to  Bal- 
timore and  Lydonia  Canyons,  160-244  m. 

Goneplacid  crabs  were  driven  out  of  secondary 
burrows  in  walls  of  larger  burrows  constructed  by 
tilefish,  Lopholatilus  chamaeleonticeps  Goode  and 
Bean,  with  rotenone.  The  poison  did  not  kill  the 
crabs  but  caused  them  to  emerge  from  the  burrow 
systems  enough  that  they  could  be  collected  by 


74 


WILLIAMS:  DECAPOD  AND  EUPHAUSIID  CRUSTACEANS 


"slurp  gun".  These  burrow  systems  in  Pleistocene 
clay,  referred  to  by  Warme  et  al.  (1978)  and 
Cooper  and  Uzmann  (1980)  as  "Pueblo  Villages", 
shelter  a  number  of  invertebrate  and  vertebrate 
species  (Able  et  al.  1982;  Bowman  1986;  Grimes 
et  al.  1980a,  1980b,  1986).  Goneplacids  are  rare  in 
collections  made  from  surface  vessels  probably 
because  trawls  or  grabs  cannot  efficiently  sample 
the  burrow  systems  in  which  these  crabs  have 
been  observed.  Galatheids  from  shallower  bur- 
rows are  more  open  to  capture  by  conventional 
means  (Churchill  B.  Grimes^). 

To  the  brief  color  description  quoted  from 
Chace  by  Guinot  (1969),  the  following  can  be 
added  from  notes  made  14  October  1981  on  ma- 
ture males,  females,  and  juveniles  that  were  pre- 
served in  formalin  25  July  1981,  and  personal 
communication  from  Churchill  Grimes  (fn.  2). 
Carapace  dorsally  spotted  with  red  on  off-white 
background.  Same  type  of  spots  on  pterygosto- 
mian,  subocular,  epistomial,  and  subbranchial 
areas,  on  external  maxillipeds,  and  on  merus,  car- 
pus, and  propodus  of  chelipeds  (dorsally,  later- 
ally, and  mesially).  Spots  tending  to  coalesce 
along  front  of  carapace  and  on  chelae.  Red  color 
more  diffuse  on  dorsal  or  exposed  surfaces  of 
walking  legs,  becoming  more  distinct  and  intense 
with  increasing  size.  Fingers  of  chelae  black. 
Dactyls  of  walking  legs  white  except  for  darkened 
tips,  but  setae  pinkish.  There  is  some  variation  in 
pattern  on  individual  crabs. 

There  is  variation  also  in  the  length  of  the  male 
first  pleopod,  both  in  the  USNM  series  of  speci- 
mens studied  by  Guinot  (1969)  and  in  the  new 
material  reported  here.  In  some  specimens  of  the 
latter,  this  appendage  exceeds  or  at  least  reaches 
the  distal  edge  of  the  telson,  whereas  it  is  shorter 
in  specimens  previously  reported  from  localities 
further  south.  In  the  latter,  the  third  abdominal 
segment  is  more  angled  laterally  than  in  speci- 
mens from  the  north.  Thus,  there  seem  to  be  some 
differences  between  the  northern  and  southern 
populations. 

SUPERFAMILY  GRAPSIDOIDEA 

Family  Grapsidae 

Euchirograpsus  americanus  A.  Milne  Edwards 
1880.     Geographic  range  extended  north  from  off 


^Churchill  B.  Grimes,  Southeast  Fisheries  Center  Panama 
City  Laboratory,  National  Marine  Fisheries  Service,  NOAA, 
.3500  Delwood  Beach  Road,  Panama  City,  FL  .32407-7499,  pers. 
commun.  February  1982. 


Oregon  Inlet,  NC  (Williams  1984)  to  Oceanogra- 
pher  Canyon  at  the  edge  of  Georges  Bank  and 
nearby  continental  slope  at  155-200  m. 

SUPERFAMILY  PINNOTHEROIDEA 

Family  Pinnotheridae 

Dissodactylus  juvenilis  Bouvier  1917.  The 
ovigerous  female  from  the  Gulf  of  Mexico  off  west- 
ern Florida,  though  similar  in  general  features  to 
D.  juvenilis,  is  very  large  for  that  species.  In  a 
recent  review  of  the  genus  Dissodactylus ,  Griffith 
(1987)  reported  D.  juvenilis  from  north  of  Yu- 
catan and  the  Mississippi  Delta.  Members  of  the 
genus  are  found  in  association  with  clypeastroid 
echinoids  (Schmitt  et  al.  1973),  as  was  this  speci- 
men in  a  sample  that  included  Clypeaster  ravenel- 
lii  A.  Agassizi. 

ACKNOWLEDGMENTS 

The  following  persons  brought  these  records  to 
my  attention  through  requests  for  identifications: 
Barbara  Hecker  and  Dennis  T.  Logan,  Lamont- 
Doherty  Geological  Laboratory,  Columbia  Uni- 
versity, Palisades,  NY;  Kenneth  W.  Able,  Center 
for  Coastal  and  Environmental  Studies,  and 
Churchill  B.  Grimes,  Department  of  Horticul- 
ture and  Forestry,  Rutgers  University,  New 
Brunswick,  NJ  (CBG  now  with  Southeast  Fish- 
eries Center  Panama  City  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  Panama  City, 
FL).  Maureen  E.  Downey  identified  the  echinoid. 
Ruth  E.  Gibbons  drafted  the  maps  and  Keiko  Hi- 
ratsuka  Moore  figured  the  galatheid.  The 
manuscript  was  critically  reviewed  by  B.  B.  Col- 
lette  and  D.  L.  Felder. 

LITERATURE  CITED 

Able,  K  W  ,  C  B  Grimes,  R  A  Cooper,  and  J.  R  Uzmann 

1982.     Burrow    construction    and    behavior    of    tilefish, 
Lopholatilus  chamaeleonticeps,   in   Hudson  Submarine 
Canyon.  Environ.  Biol.  Fishes  7(3):199-205. 
Able.  K.  W.,  D.  C.  Twitchell.  C.  B.  Grimes,  and  R.  S.  Jones. 
1987.     Tilefishes    of   the    genus    Caulolatilus    construct 
burrows  in  the  sea  floor.     Bull.  Mar.  Sci.  40:1-10. 
Bowman.  T  H. 

1986.     Tridentella    recava ,    a    new    isopod    from    tilefish 
burrows    in    the    New    York    Bight    (Flabellifera:    Tri- 
dentellidael.     Proc.  Biol.  Soc.  Wash.  99(2):269-273. 
Chace.  F  A,  Jr 

1972.  The  shrimps  of  the  Smithsonian-Bredin  Caribbean 
Expeditions  with  a  summary  of  the  West  Indian 
shallow-water  species  (Crustacea:  Decapoda: 
Natantiaj.     Smithson.  Contrib.  Zool.  98:1-179. 


75 


FISHERY  BULLETIN:  VOL.  86,  NO   1 


Cooper.  R  A ,  and  J  R  Uzmann. 

1980.     Ecology  of  juvenile  and  adult  Homarus.     In  J.  S. 
Cobb  and  B.  F.  Phillips  (editors),  The  biology  and  man- 
agement of  lobsters.  Vol.  II,  Ecology  and  management, 
ch.  3,  p.  97-142.     Acad.  Press,  NY. 
Griffith.  H 

1987.     Taxonomic  revision  of  the  genus  Dissodactylus 
(Crustacea:  Brachyura:  Pinnotheridae).     Bull.  Mar.  Sci. 
40:397-422. 
Grimes,  C  B  ,  K  W  Able,  and  R  S  Jones. 

1986.     Tilefish,  {Lopholatilus  chamaeleonticeps),  habitat, 
behavior  and  community  structure  in  mid-Atlantic  and 
southern  New  England  waters.     Environ.  Biol.  Fishes 
15(41:273-292. 
Grimes,  C  B  .  K  W  Able,  and  S  C  Turner 

1980a.     A  preliminary  analysis  of  the  tilefish,  Lopholatilus 
chamaeleonticeps  fishery   in   the   Mid-Atlantic 
Bight.     Mar.  Fish.  Rev.  42(11):13-18. 
Grimes,  C  G  ,  K  W  Able,  S  C.  Turner,  and  S  J  Katz 

1980b.     Tilefish:  Its  continental  shelf  habitat.     Under- 
water Nat.  12(41:34-38. 
Guinot,  D 

1969.     Recherches  preliminaires  sur  les  groupements  na- 
turels  chez  les  Crustaces  Decapodes  des  Brachyoures. 
VII.  Les  Goneplacidae  (suite  et  fin).  Bull.  Mus.  Natl.  Hist. 
Nat.  Ser.  2,  41(3):688-724. 
HOLTHUIS,  L  B 

1947.  The  Decapoda  of  the  Siboga-Expedition.  Part  IX. 
The  Hippolytidae  and  Rhynchocinetidae  collected  by  the 
Siboga  and  Snellius  Expeditions  with  remarks  on  other 
species.  Siboga-Exped.  Monogr.  39aS,  100  p. 
1955.  The  recent  genera  of  caridean  and  stenopodidean 
shrimps  (Class  Crustacea,  Order  Decapoda,  Supersection 
Natantia)  with  keys  for  their  determination.  Zool. 
Verb.  (Leiden)  26:1-157. 
PEQUEGNAT,  W  E  ,  AND  L  H  Pequegnat 

1971.     New  species  and  new  records  o{  Munidopsis  (Deca- 
poda: Galatheidae)  from  the  Gulf  of  Mexico  and 
Caribbean  Sea.     Texas  A  &  M  Univ.  Oceanogr.  Stud.,  1 
(suppl.):3-24. 
Schmitt.  W  L  ,  J  C  McCain,  and  E  S  Davidson 

1973.     Decapoda  I,  Brachyura  I,  Fam.  Pinnotheridae.    In 


H.-E.  Gruner  and  L.  B.  Holthuis  (editors),  Crustaceorum 
Catalogus  3,  160  p.     Dr.  W.  Junk  B.  V.-Den  Haag. 

Squires,  H  J 

1965.  Decapod  crustaceans  of  Newfoundland,  Labrador 
and  the  Canadian  eastern  Arctic.  Fish.  Res.  Board 
Can.,  Manuscr.  Rep.  Ser.  (Biol.)  810,  212  p. 

UCHUPI,  E. 

1965.  Map  showing  relation  of  land  and  submarine  topog- 
raphy. Nova  Scotia  to  Florida.  U.S.  Geol.  Surv.  Misc. 
Geol.  Invest.,  Map  1-451  (Sheets  1-3). 

Veatch,  a  C,  and  P  a  Smith 

1939.  Atlantic  submarine  valleys  of  the  United  States 
and  the  Congo  Submarine  Valley.  Geol.  Soc.  Am.  Spec. 
Pap.  7,  101  p. 

Warme.  J  E  ,  R  A  Slater,  and  R  A  Cooper 

1978.  Bioerosion  in  submarine  canyons.  In  D.  J.  Stanley 
and  G.  Kelling  (editors).  Sedimentation  in  submarine 
canyons,  fans,  and  trenches,  ch.  6,  p.  65-70.  Dowden, 
Hutchinson  &  Ross,  Inc.,  Stroudsburg,  PA. 

Wenner,  E  L 

1982.  Notes  on  the  distribution  and  biology  of  Galathei- 
dae and  Chirostylidae  (Decapoda:  Anomura)  from  the 
Middle  Atlantic  Bight.  J.  Crustacean  Biol.  2(3):360- 
377. 

Wenner,  E  L  ,  and  D  F  Boesch 

1979.  Distribution  patterns  of  epibenthic  decapod  Crus- 
tacea along  the  shelf-slope  coenocline.  Middle  Atlantic 
Bight,  USA.     Bull.  Biol.  Soc.  Wash.  3:106-133. 

Wenner,  E  L  ,  and  N.  T  Windsor 

1979.     Parasitism  of  galatheid  crustaceans  from  the  Nor- 
folk Canyon  and  Middle  Atlantic  Bight  by  bopyrid 
isopods.     Crustaceana  37(3):293-303. 
Williams,  A  B. 

1984.     Shrimps,  lobsters,  and  crabs  of  the  Atlantic  coast  of 
the  eastern  United  States,  Maine  to  Florida.     Smithson. 
Inst.  Press,  Wash.,  DC,  550  p. 
Williams,  A  B ,  and  R  L  Wigley 

1977,  Distribution  of  decapod  Crustacea  off  northeastern 
United  States  based  on  specimens  at  the  Northeast  Fish- 
eries Center,  Woods  Hole,  Massachusetts.  U.S.  Dep. 
Commer.,  NOAA  Tech.  Rep.  NMFS  Circ.  407,  44  p. 


76 


AGE  AND  GROWTH  OF  LARVAL  GULF  MENHADEN, 
BREVOORTIA  PATRONUS,  IN  THE  NORTHERN  GULF  OF  MEXICO 

Stanley  M.  Warlen' 

ABSTRACT 

Experiments  on  laboratory-spawned  and  -reared  larval  gulf  menhaden,  Brevoortia  patronus ,  showed 
that  they  formed  one  otolith  growth  increment  per  day  and  that  the  increments  could  be  used  to 
estimate  their  age.  Wild  larvae  from  collections  in  the  northern  Gulf  of  Mexico  along  three  transects 
I  Cape  San  Bias,  Florida;  Southwest  Pass,  Louisiana;  and  Galveston,  Texas)  were  aged.  Gompertz 
growth  equations  were  used  to  describe  the  relationship  between  age  and  standard  length  for  larvae 
collected  at  various  locations,  and  in  different  seasons  and  years.  MANOVA  tests  and  subsequent 
pairwise  tests  were  used  to  test  for  differences  among  these  growth  curves.  For  the  most  extensive 
data  set  (Southwest  Pass,  Louisiana),  there  were  significant  differences  in  growth  between  early 
season  (December)  and  late  season  (February)  larvae.  Early  season  larvae  grew  faster  than  late 
season  larvae.  Growth  of  larvae  also  differed  among  December  collections  and  among  February 
collections.  The  growth  model  for  the  pooled  data  for  all  wild  larvae  predicted  that  they  grew  from  2.4 
mm  SL  at  hatching  to  20.4  mm  SL  at  62  days. 


Gulf  menhaden,  Brevoortia  patronus ,  is  the  most 
abundant  commercial  finfish  in  the  Gulf  of  Mex- 
ico and,  with  883,500  metric  tons  (t)  landed  in 
1985  (U.S.  National  Marine  Fisheries  Service 
1986);  it  constitutes  the  largest  fishery  in  the 
United  States.  Some  aspects  of  the  oceanic  early 
life  history  of  this  clupeid  are  known  and  are  re- 
viewed by  Turner  (1969),  Christmas  and  Waller 
(1975),  Lewis  and  Roithmayr  (1981),  Govoni  et  al. 
(1983),  and  Shaw  et  al.  (1985a).  However,  virtu- 
ally nothing  is  known  about  the  age  and  growth 
of  the  larvae,  much  less  how  these  parameters 
vary  spatially  and  temporally.  Daily  growth  in- 
crements on  otoliths  of  larval  fishes  can  be  used 
as  an  indicator  of  their  age,  and  once  the  use  of 
this  technique,  first  described  by  Pannella  ( 1971 ), 
is  validated  for  the  larvae  of  an  individual  spe- 
cies, their  ages  can  be  estimated  with  confidence 
and  growth  rates  can  be  determined.  Intraspecific 
growth  may  be  compared  for  larvae  from  different 
areas  and  seasons  (Lough  et  al.  1982),  and  from 
this  it  may  be  possible  to  ascertain  how  biotic  and 
abiotic  environmental  variables  affect  larval 
growth  and  survival.  The  objectives  of  this  study 
are  to  1)  validate  the  periodicity  of  increment  for- 
mation in  otoliths  of  larval  gulf  menhaden,  2) 
estimate  larval  growth  rates,  3)  compare  growth 
rates  of  larvae  from  different  locations  and  times, 
4)  estimate  spawning  times,  and  5)  examine  pos- 


•Southeast  Fisheries  Center  Beaufort  Laboratorv,  National 
Marine  Fisheries  Service,  NOAA,  Beaufort,  NC  28516-9722. 


Manuscript  accepted  September  1987 
FISHERY  BULLETIN.  VOL.  86,  NO.  1,  1988. 


sible  relationships  between  larval  growth  and 
surface  water  temperature.  This  work  was  part  of 
a  larger  project  designed  to  investigate  the  early 
life  history  of  several  economically  important 
fishes  and  the  marine  planktonic  food  webs  that 
support  their  growth  and  survival  in  the  northern 
Gulf  of  Mexico. 


METHODS 

Spawning  and  Larval  Rearing 

Adult  gulf  menhaden  were  collected  near  Gulf 
Breeze,  FL,  and  transported  to  the  Beaufort  Lab- 
oratory, Beaufort,  NC  (Hettler  1983).  After  a  pe- 
riod of  acclimation,  adults  were  induced  to  spawn 
in  the  laboratory.  The  resultant  larvae  were  used 
in  experiments  to  validate  the  periodicity  of  in- 
crement formation  on  their  otoliths  and  the  age  at 
first  increment  formation. 

Beginning  February  1983,  several  thousand 
newly  spawned  gulf  menhaden  eggs  were  trans- 
ferred to  a  tank  containing  90  L  of  filtered  sea- 
water.  The  static  water  in  this  tank,  kept  at 
20.5°  ±  0.5°C  throughout  the  experiment,  was 
continuously  aerated  and  the  salinity  maintained 
at  31  ±  17cc.  Photoperiod  was  12  hours  light:12 
hours  dark.  A  food  concentration  of  25  rotifers 
(Brachionus  plicatilis)  mL"^  was  maintained.  A 
green  alga,  Nanochloris  sp.,  was  added  periodi- 
cally as  food  for  the  rotifers  and  to  aid  in  remov- 
ing toxic  metabolites.  The  otoliths  of  larvae  sam- 

77 


KISHERY  BULLETIN;  VOL.  86,  NO.  1 


pled  at  10-,  17-,  24-,  and  31-d  posthatch  were  ex- 
amined. 

In  January  1984  additional  larvae  were  reared 
to  compliment  results  of  the  earlier  experiment. 
Smaller  tanks  with  60  larvae  in  10  L  of  filtered 
water  were  used.  Experimental  conditions  were 
the  same  as  for  the  first  experiment.  The  otoliths 
of  larvae  sampled  at  7-,  14-,  and  20-d  posthatch 
were  examined. 

Larval  Collections 

Larval  gulf  menhaden  were  collected  in  the 
northern  Gulf  of  Mexico  during  six  cruises  of  the 
RV  Oregon  II.  Sampling  stations  (Fig.  1)  along 
transects  LA  (off  Louisiana)  and  FL  (off  Florida) 
were  occupied  during  11-19  December  1979,  5- 
15  February  1980,  and  2-12  December  1980  and 
along  transects  LA,  FL,  and  TX  (off  Texas)  during 
9-24  February  1981,  2-13  December  1981,  and 
4-16  February  1982.  Transect  LA  is  near  the 
Mississippi  River  outflow  off  Southwest  Pass,  LA; 
transect  FL  is  southwest  of  Cape  San  Bias,  FL; 
and  transect  TX  is  located  off  Galveston  Bay,  TX. 
Sampling  stations  were  in  water  depths  of  18,  91, 
and  183  m  except  off  Texas  where  only  the  18  and 
91  m  depths  were  sampled. 

A  multiple  opening-closing  net  and  environ- 
mental sensing  system  (MOCNESS)  as  described 
by  Wiebe  et  al.  ( 1976)  were  the  primary  sampling 
gear  used  to  capture  larvae.  Additional  samples 
were  taken  in  oblique  tows  with  a  60  cm  bongo 


frame  also  fitted  with  505  fjim  mesh  nets.  Samples 
were  collected  day  and  night  and  were  preserved 
in  95Vf  ethanol  (final  concentration  ^757^ )  within 
5  minutes  of  collection.  The  ethanol  was  changed 
in  all  samples  at  least  once  after  initial  preserva- 
tion to  prevent  dissolution  of  otoliths  in  fish  from 
any  samples  that  may  have  been  inadequately 
preserved.  Data  from  larvae  collected  at  all  sta- 
tions within  a  transect  were  combined  for  that 
transect. 

Estimating  Age  and  Growth 

All  gulf  menhaden  larvae  were  measured  to  the 
nearest  0.1  mm  standard  length  (SL).  The  largest 
otolith  pair  (sagittae)  was  teased  from  the  sur- 
rounding tissue,  cleaned  in  distilled  water,  and 
then  placed  on  a  glass  microslide  under  a  thin 
layer  of  Flo-Texx-^  mounting  medium. 

Otoliths  were  viewed  with  a  compound  micro- 
scope fitted  with  a  television  camera.  Growth  in- 
crements were  counted  from  otolith  images  on  a 
video  monitor  at  magnifications  of  at  least  400  x. 
An  increment  appeared  as  a  light,  wide  incremen- 
tal band  and  a  dark,  narrow,  discontinuous  band 
(Tanaka  et  al.  1981).  Increments  were  generally 
clearly  discernable  and  easily  counted  (Fig.  2). 
Estimated  age  was  the  number  of  increments 
counted  plus  an  empirically  derived  value  for  the 


2Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


96    00'  94°  00'  92°  00'  90°  00'  88°  00'  86°  00'  84°  00' 


30°  00' 


28°  00' 


26°  00' 


Figure  l. — Location  of  sampling  sites  from  which  larval  gulf  menhaden  were  collected  during  crui-ses  of  the  RV  Oregon  II  in 

December  1979-81  and  February  1980-82. 


78 


WARLEN;  AGE  AND  GROWTH  OF  LARVAL  GULF  MENHADEN 


Figure  2. — Photomicrograph  of  a  saggital  otohth  with  22  increments  from  a  17.4  mm  SL 
field  collected  larval  gulf  menhaden.  Scale  bar  represents  10  pim.  Growth  increments 
appear  as  pairs  of  wide  incremental  and  narrow  discontinuous  bands. 


number  of  days  from  spawning  to  first  increment 
formation.  Results  of  the  laboratory  experiments 
established  the  periodicity  of  otolith  increment 
formation. 

A  spawning  date  was  assigned  each  ageable 
larva  by  using  the  estimated  age  of  the  fish  in 
days  to  back-calculate  from  the  date  of  capture.  It 
was  assumed  that  there  were  no  differences  in 
either  the  age  at  initial  increment  deposition  or 
the  otolith  increment  deposition  rate  between  lo- 
cations and  seasons  and  that  the  rate  was  not  a 
function  of  temperature,  food,  or  photoperiod. 

Average  growth  of  larvae  was  described  by  the 
Laird  version  (Laird  et  al.  1965)  of  the  Gompertz 
growth  equation  (Zweifel  and  Lasker  1976)  fitted 
to  estimated  age  and  size  at  time  of  capture  for 
fish  from  all  cruises  and  transects.  To  stabilize 
the  variance  of  length  over  the  observed  age  in- 
terval, length  data  were  log-transformed  and 
model  parameters  were  estimated  from  the  log- 
transformed  version  of  the  growth  equation.  The 
model  was  fit  to  data  for  each  transect  within 
each  cruise  and  for  pooled  data  from  all  cruises. 

Potential  differences  in  the  overall  growth 
curves  among  years  and  between  seasons  for  lar- 
vae caught  off  Louisiana  and  between  years  ( 1981 
and  1982)  for  larvae  caught  off  Louisiana  and 


Texas  were  examined  by  treating  the  parameters 
of  the  Gompertz  equation  as  dependent  variables 
in  two-way  multivariate  analysis  of  variance 
(MANOVA)  designs.  A  one-way  MANOVA  de- 
sign was  used  to  test  for  differences 
among  transects  (LA,  FL,  TX)  within  one  season 
(February  1982).  Following  significant 
MANOVA  results,  prespecified  pairwise 
Hotelling's  T'^  test  comparisons  (Bernard  1981,  as 
modified  by  Hoenig  and  Hanumara  1983)  were 
made  using  the  Bonferroni  procedure  (Harris 
1975)  to  provide  conservative  tests  of  statistical 
significance.  Bonferroni  critical  values  for  these 
individual  tests  were  equal  to  the  overall  error 
rate  (significance  level  =  0.05)  divided  by  the 
number  of  possible  comparisons  in  the  particular 
MANOVA  design.  The  emphasis  in  the  compari- 
sons was  to  look  for  overall  differences  in  the 
growth  of  larvae  using  these  statistics  as  a  guide 
and  not  to  look  for  differences  in  individual 
parameters  of  the  growth  models. 

Hotelling's  T^  test  and  MANOVA  both  require 
that  the  data  fit  a  multivariate  normal  distribu- 
tion and  that  the  variance-covariance  matrices  of 
the  populations  are  not  different  (Harris  1975). 
These  assumptions  are  difficult  to  test  and  are 
almost  certainly  not  valid  for  real  data  sets  (par- 


79 


FISHERY  BULLETIN:  VOL  86.  NO   1 


ticularly  field  data),  but  they  may  be  nearly  valid 
for  many  sets  of  data  (Harris  1975).  No  direct  test 
of  normality  in  a  trivariate,  joint  probability  dis- 
tribution is  available  (Bernard  1981),  but  bias 
arising  from  nonnormal,  multivariate,  joint  dis- 
tributions is  minimized  with  large  sample  sizes 
(Bernard  19811.  While  methods  are  available  to 
test  the  hypothesis  of  equal  variance-covariance 
matrices  (e.g..  Box's  modification  of  Bartlett's 
test),  these  methods  are  very  sensitive  and  even 
minor  differences  between  group  dispersions  will 
likely  be  discovered  (Pimentel  1979).  In  any 
event,  the  use  of  MANOVA  in  this  paper  relies  on 
variance-covariance  matrices  estimated  from 
nonlinear  regressions,  and  these  are  not 
amenable  to  testing.  However,  both  MANOVA 
and  Hotel  ling's  tests  are  extremely  robust  even 
under  violation  of  the  assumptions  of  homo- 
scedasticity  and  multivariate  normality  (Harris 
1975). 

RESULTS 

Increment  Formation 

The  age  of  gulf  menhaden  at  formation  of  the 
first  otolith  growth  increment  was  estimated 
from  laboratory-reared  larvae.  The  intercept  (2.6 


days)  of  the  regression  of  the  number  of  growth 
increments  on  known  posthatch  age  of  36  larval 
gulf  menhaden  (Fig.  3)  was  used  to  estimate 
posthatch  age  at  formation  of  the  first  increment. 
This  value  was  added  to  the  time  from  spawning 
to  hatching  which  at  20°C  is  2  days  (Powell'M. 
This  sum  (4.6  days)  is  the  estimated  time  from 
spawning  to  formation  of  the  first  increment. 
Hence,  it  was  necessary  to  add  5  days  to  each 
increment  count  to  estimate  the  age  of  larval  gulf 
menhaden  from  spawning. 

The  periodicity  of  increment  formation  was  as- 
certained from  the  regression  of  the  number  of 
growth  increments  on  the  known  age  (Fig.  3).  The 
slope  did  not  differ  significantly  (/-test,  P  <  0.05) 
from  1.0,  and  thus,  on  the  average,  one  otolith 
growth  increment  was  formed  per  day  in 
laboratory-reared  larvae  up  to  31  days  after 
hatching.  Results  of  a  second  experiment  (Table 
1 )  confirmed  this  periodicity.  The  age  of  gulf  men- 
haden larvae  estimated  from  otolith  increment 
counts  ( +  5)  closely  approximated  the  known  ages 
of  51  laboratory-reared  larvae.  Mean  estimated 
age  of  larvae  differed  by  <  1  day  from  the  known 


3A.  B.  Powell,  Southeast  Fisheries  Center  Beaufort  Labora- 
tory, National  Marine  Fisheries  Service,  NOAA,  Beaufort,  NC 
28516-9722,  pers.  commun.  February  1986. 


CO 

H 
Z 
111 

liJ 
DC 
O 

z 


O 

o 

o 

tr 

LU 

m 

Z 


35 


30 


25 


20 


15 


10 


No.  increments=-2.617+ 0.921(known  age) 
r=  0.928 
n=  36 


5- 


10  15  20  25 

KNOWN  AGE  (days) 


30 


35 


Figure  3. — Regression  of  the  number  of 
growth  increments  on  the  known 
posthatch  age  of  36  laboratory-reared 
gulf  menhaden.  Standard  error  of  the 
slope  IS  0.108. 


80 


WARLEN;  AGE  AND  GROWTH  OF  LARVAL  GULF  MENHADEN 


Table  1. — Standard  length  (mm)  and  estimated  age  (num- 
ber of  otolith  growth  increments  +5)  of  laboratory-reared 
larval  gulf  menhaden.  Values  in  parentheses  are  95%  inter- 
val estimates. 


Known  age     Number  of     Mean  estimated 
(days)  fish  age 


Mean  SL 


7 
14 
20 


13 
16 
22 


7.8  (±0.38) 

13.2  (±1.14) 

19.3  (±0.77) 


4.7  (±0.28) 
6.4  (±0.38) 
8.0  (±0.42) 


ages  and  the  957c  confidence  intervals  included 
the  known  age  in  each  of  the  three  groups.  Some 
of  the  variation  in  the  number  of  gi'owth  incre- 
ments observed  in  known  age  larvae  (Fig.  3, 
Table  1)  may  have  been  due  to  1)  poor  growing 
conditions  during  rearing  that  could  have  re- 
sulted in  reduced  growth  in  underfed  larvae,  2) 
variation  in  the  inception  of  increment  formation 
as  has  been  observed  in  other  species  (Laroche  et 
al.  1983;  Fives  et  al.  1986),  and  3)  faintness  of 
growth  increments  in  some  larvae.  In  contrast, 
increments  on  otoliths  of  field  collected  larvae 
(Fig.  2)  were  usually  very  regular  and  distinct 
and  were  more  easily  observed  than  those  on 
otoliths  of  laboratory-reared  larvae.  I  assumed 
that  the  gi'owth  increment  deposition  rate  was 
also  daily  in  wild  larvae  examined  in  this  study. 

Age  and  Growth  of  Larvae 

Average  growth  of  larval  gulf  menhaden  dur- 
ing their  first  two  months  of  life  was  described  by 
the  Gompertz  growth  model  for  pooled  length  at 
age  data  for  2,003  fish  representing  collections 
from  all  six  RV  Oregon  II  cruises  (Table  2,  Fig.  4). 
Larvae  ranged  in  age  from  5  to  62  days  (x=24A 
days)  and  in  SL  from  3.4  to  28.0  mm  (x  =  12.6 
mm).  In  the  log-transformed  model,  age  ac- 
counted for  82%  of  the  variation  in  length.  Gulf 
menhaden  were  predicted  to  have  grown  from  2.4 
mm  SL  at  hatching  to  20.4  mm  at  age  62  days. 
The  size  at  hatching  estimated  from  the  Gom- 
pertz equation  was  only  slightly  less  than  the 
hatching  size,  2.6-3.0  mm  SL,  observed  in  the 
laboratory  (Hettler  1984).  Age-specific  growth 
rates  declined  from  — 79f/day  at  age  10  days  to 
<0.4%/day  at  age  60  days.  Maximum  absolute 
growth  rate  occurred  when  gulf  menhaden  larvae 
were  7.9  mm  SL  and  13  days  old. 

The  asymptotic  length  of  larvae  (21.5  mm  SL), 
determined  from  the  variables  of  the  growth 
equation,  is  approximately  the  size  when  larvae 
begin  to  transform  into  juveniles.  This  transfor- 
mation, described  by  Lewis  et  al.  (1972)  for  the 


closely  related  Atlantic  menhaden,  B.  tyrannus, 
apparently  ends  when  the  fish  reach  28-30  mm 
SL  (Suttkus  1956). 

In  all  instances  except  one  transect  (TX  Decem- 
ber 1981,  where  there  was  no  convergence  in  the 
parameter  values  in  the  computer  fitting  proce- 
dure and  the  model  would  not  fit  the  data),  the 
Gompertz  growth  model  could  be  used  to  describe 
the  growth  of  gulf  menhaden  larvae  from  each 
cruise  and  transect  (Figs.  5-7,  Table  2).  The 
growth  model  for  the  FL  December  1980  larvae 
approximates  an  exponential  form  because  of  the 
exceptionally  low  value  for  a.  This  may  be  due  to 
the  preponderance  of  small,  young  larvae. 

GROWTH  COMPARISONS 

Louisiana  -  Seasons  and  Years 

There  were  statistically  significant  differences 
(MANOVA,  P  <  0.001)  in  the  growth  curves  for 
larvae  caught  off  Louisiana  for  two  seasons  (De- 
cember, February)  and  three  years  (1979-80, 
1980-81,  1981-82).  To  determine  if  differences  ex- 
isted between  seasons  in  each  year  and  among 
any  two  years  within  each  season,  I  selected  9  of 
the  possible  15  pairwise  comparisons  for  testing. 
The  Bonferroni  critical  value  in  these  tests  was 
0.0033  (0.05/15).  The  inability  to  fit  a  Gompertz 
growth  model  to  the  TX  December  1981  data  pre- 
cluded a  comparison  with  the  larvae  collected  off 
Texas  in  February  1982. 

Pairwise  comparisons  for  within  years  data  for 
Louisiana  larvae  showed  significant  differences 
(P  <  0.003)  in  growth  curves  between  early  sea- 
son (December)  and  late  season  (February)  for 
each  year.  Faster  growth  of  early  season  larvae  is 
evident  if  the  respective  curves  (Figs.  5;  6a,  c;  7a, 
c)  are  compared.  For  any  age,  the  predicted  size  is 
greater  for  early  season  than  for  late  season  lar- 
vae. Only  for  the  third  year  did  the  length  at  age 
40+  days  of  February-caught  larvae  exceed  that 
for  December-caught  larvae. 

In  similar  comparisons  for  larvae  caught  off 
Louisiana  in  December  of  all  three  years,  there 
were  significant  differences  (P<  0.003)  in  the 
growth  curves  (Figs.  5a,  6a,  7a)  for  any  two  years. 
As  judged  by  the  predicted  size  at  any  age,  larvae 
appeared  to  grow  faster  in  1979  than  in  either 

1980  or  1981.  While  the  curves  for  the  1980  and 

1981  larvae  overlapped,  larvae  from  1980  were 
larger  at  30+  days  than  were  the  1981  larvae. 
Significant  differences  were  also  found  among  the 
curves  (Figs.  5b,  6c,  7c)  for  larvae  caught  in 


81 


F1SHF:KV  BUI.l.KTlN    VOL  Hli,  NU    1 


Table  2.— Estimates  of  Gompertz  growth  model  parameters  and  mean  age  (days)  and  mean  SL  (mm)  for 
larval  gulf  menhaden  collected  m  the  northern  Gulf  of  Mexico  during  the  winters  1979-80,  1980-81,  and 
1981-82.     fl2  is  the  coefficient  of  determination  for  the  respective  models. 


Number 
fish 

Growth  model  parameters^ 

fvlean 
estimated 

tVlean 

Date 

Transect' 

aged 

R2 

'-(O) 

A(0) 

a 

age  (d) 

SL  (mm) 

Winter  1979-80 

Dec.  1979 

LA 

42 

0863 

2  768 

(1.270) 

0  1701 
(0,0711) 

00809 

(00190) 

28  1 

174 

Feb.  1980 

LA 

324 

0954 

2.131 
(0  138) 

0  1592 
(00105) 

00710 
(0  0031) 

302 

12.7 

Winter  1980-81 

Dec.  1980 

LA 

191 

0931 

2888 
(0.188) 

0  1125 
(0,0097) 

00496 
(0.0044) 

220 

118 

Dec.  1980 

FL 

80 

0701 

3418 
(0.994) 

00561 
(0  0370) 

0.0001 
(0,0407) 

14  9 

79 

Feb.  1981 

LA 

338 

0849 

2702 
(0.231) 

0  1159 
(0  0120) 

00577 
(0,0049) 

246 

11.7 

Feb.  1981 

TX 

223 

0526 

5839 
(0.579) 

00305 
(00088) 

0,0125 
(0,0110) 

21,5 

10.3 

Winter  1981-82 

Dec.  1981 

LA 

370 

0921 

0384 
(0.076) 

04780 
(0,0433) 

0  1240 
(0,0054) 

21  7 

13.3 

Dec.  1981 

TX 

114 

— 

.1 

3 

,1 

25,4 

11.9 

Feb. 1982 

LA 

191 

0,736 

0807 
(0,337) 

02729 
(0,6093) 

0,0851 
(0,0090) 

31  2 

15.5 

Feb.  1982 

FL 

88 

0.624 

2278 
(0,824) 

0  1067 
(0,0454) 

0,0394 
(0,0205) 

17,6 

89 

Feb   1982 

TX 

42 

0946 

1  798 
(0,392) 

0,1276 
(0,0340) 

00500 
(0,0142) 

225 

100 

All  years 

All  data  pooled 

2,003 

0822 

2,355 
(0.098) 

0,1345 
(0,0059) 

0,0608 
(0,0020) 

24.4 

12.6 

iLA=IVIississippi  River  Delta  (Southwest  Pass  Louisiana);  FL  =  Cape  San  Bias,  FL;  TX  =  Galveston,  TX. 
2L|0|  =  length  at  hatching,  A(0)  =  specific  growth  rate  at  hatching,  «  =  exponential  decline  in  A,o)-  Values  in 
parentheses  are  estimated  standard  errors  from  the  nonlinear  regressions. 
3Gompertz  growth  model  did  not  fit  the  data. 


E 
E 

X 
»- 

CD 

Z 
lU 

_l 

Q 

< 


Figure  4.— Growth  of  gulf  menhaden 
larvae  collectccl  in  the  winters  of  1979- 
80,  1980-81,  and  1981-82  m  the  north- 
ern Gulf  of  Mexico.  The  Gompertz  growth 
model  was  used  to  describe  the  pooled 
data.  Two  through  nine  coincident  data 
points  are  labelled  with  their  numeral. 
Coincident  points  of  10  and  above  are  la- 
belled A,  B,  etc. 


CO 


30 


25 


20 


15 


10 


1 


1 


1 1 


1 


3 
1  1     1 
1  1 

1  1 

2    2231 1  1111     1     11  1121 

1     112    11  13313221331 
21    4  222635231 8 3687ia<T   2    1 
224235B253223445«7B32       2 
8562  22  82  5  I  2J-9r536831  221 
122    B8C49221AS3251  623352    11 
1     1  780DB425*35253342    1214    1 
4 5238 1 CBie58   31314  23 
327586F9NBC65    6272331 12 
34EB9A56Q7H561311     11  1 

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n=  2,003 


10 


20 


30 


40 


50 


60 


70 


ESTIMATED  AGE  (cJays) 


82 


WARLEN;  AGE  AND  GROWTH  OF  LARVAL  GULF  MENHADEN 


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Dec  1979 

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223 
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10 


20 


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40 


Louisiana 
Feb  1980 


50 


60 


ESTIMATED  AGE  (days) 


Figure  5. — Growth  of  larval  gulf  menhaden  collected  in  the  winter 
1979-80  in  the  northern  Gulf  of  Mexico.  The  Gompertz  growth  model 
was  used  to  describe  the  data.  Coincident  data  points  are  labelled  as  in 
Figure  4. 


February  in  three  years.  Larvae  caught  in  1980 
grew  faster  than  larvae  caught  in  1981  and 
larvae  caught  in  1982  up  to  25  days,  thereafter 
1980  and  1982  had  very  similar  size  at  age  esti- 
mates. 

Louisiana  vs.  Florida  vs. 
Texas  -  February  1982 

There  were  no  significant  differences 
(MANOVA,  P  =  0.212)  among  the  growth  curves 
for  larvae  caught  in  February  1982  off  Louisiana, 
Texas,  and  Florida  (Figs.  7c,  d,  e),  and  hence  no 
pairwise  comparisons  were  necessary. 

Louisiana  vs.  Texas  -  February 
1981-82 

Statistically  significant  differences  (MAN- 


OVA,  P  <  0.002)  in  larval  growth  were  observed 
in  the  LA  and  TX  transects  from  February  1981- 
82.  Pairwise  comparisons  indicated  significant 
differences  (P  <  0.008)  in  the  growth  of  larvae 
collected  off  Texas  in  1981  (Fig.  6d)  and  1982  (Fig. 
7e)  and  in  growth  between  LA  1981  (Fig.  6c)  and 
TX  1981  collections.  The  earlier  pairwise  com- 
parisons had  already  shown  a  significant  differ- 
ence in  growth  of  larvae  from  LA  February  1981 
and  February  1982  collections  (Fig.  7c),  but  none 
for  growth  of  larvae  caught  in  the  LA  February 
1982  and  TX  February  1982  collections.  Two 
other  potential  tests,  between  transects  of  differ- 
ent areas  and  different  years,  were  not  considered 
to  be  meaningful. 

Larvae  caught  off  Louisiana  in  February  1981 
were  larger  at  age  18+  days  than  were  larvae 
caught  off  Texas  in  February  1981,  and  might  be 
considered  to  be  faster  growing  fish.  There  was  a 


83 


FISHERY  BULLETIN:  VOL  86,  NO   1 


E 
E 

I 

H 

o 

z 

LU 

_J 

Q 

cr 
< 

Q 
Z 
< 

I- 


25 


20 


15 


10 


5- 


25 


20 


15 


10 


5- 


Louisiana 
Dec   1980 


j_ 


Louisiana 
Feb  1981 


Florida 
Dec  1980 
-L, I 


1 1 
1 1 

2    2 
31J3512    1 
1     4    244 
2    126263M?22 
3122ttaft?7311 
511       1 
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2       12131 
11112 


10 


20 


30 


40 


50 


60 


10 


20 


30 


40 


Texas 
Feb  1981 


50 


60 


ESTIMATED  AGE  (days) 

Figure  6.— Growth  of  larval  gulf  menhaden  collected  in  the  winter  1980-81  in  the  northern  Gulf  of  Mexico.  The  Gompertz  growth 
model  was  used  to  describe  the  data.  Coincident  data  points  are  labelled  as  in  Figure  4. 


statistical  difference  in  growth  of  larvae  caught 
off  Texas  in  February  1981  and  1982,  and  it  ap- 
pears that  the  1982  larvae  grew  at  a  faster  rate. 
Conclusions  from  these  statistical  differences  in- 
volving TX  February  1981  larvae  collections 
should  be  viewed  with  caution  because  of  the  rel- 
atively poor  fit  (r^  =  0.526)  of  the  model.  Inade- 
quacies, such  as  the  lack  of  larvae  <13  or  >31 
days  old,  in  that  data  set  probably  resulted  in  the 
relatively  poor  parameter  estimates  (Table  2). 
Additional  sampling  would  be  necessary  to  fur- 
ther test  the  hypotheses  of  differences  in  growth 
between  geographic  areas  in  the  northern  Gulf  of 
Mexico  and  between  years  for  Texas  larvae. 

84 


Estimated  Spawning  Times 

Gulf  menhaden  larvae  observed  in  this  study 
were  estimated  to  have  been  spawned  from  mid- 
October  to  mid-February  (Fig.  8).  The  limited  ex- 
tent of  seasonal  sampling  precluded  estimation  of 
the  probable  total  range  of  the  spawning  season. 
Most  larvae  captured  in  December  and  February 
had  been  spawned  in  November  and  January  re- 
spectively (Fig.  8).  The  considerable  overlap  in 
spawning  times  of  larvae  caught  the  same  month 
in  different  years  is  a  reflection  of  the  similarity 
of  sampling  dates.  The  relatively  narrow  distribu- 
tion of  spawning  dates  for  larvae  caught  off  Flor- 


WARLEN;  AGE  AND  GROWTH  OF  LARVAL  GULF  MENHADEN 


20 


15 


10 


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20 

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Louisiana 
Dec   1981 

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41  1 
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1     1252925 
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1     13262 

112 
122 
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Dec   1981 

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Louisiana 
Feb   1982 


_L 


Texas 
Feb  1982 


J_ 


J- 


10  20  30  40 

ESTIMATED  AGE  (days) 


50 


60 


Florida 
Feb  1982 

I 


10  20  30  40  50 

ESTIMATED  AGE  (days) 


60 


Figure  7. — Growth  of  larval  gulf  menhaden  collected  in 
the  winter  1981-82  in  the  northern  Gulf  of  Mexico.  The 
Gompertz  model  was  used  to  describe  the  data  from  all 
transects  except  Texas  December  1981  where  it  could 
not  be  made  to  fit  the  data.  Coincident  data  points  are 
labelled  as  in  Figure  4. 


ida  in  both  December  1980  (Fig.  6b)  and  in  Febru- 
ary 1982  (Fig.  7d),  off  Louisiana  in  February  1982 
(Fig.  7c),  and  off  Texas  in  February  1981  (Fig.  6d) 
represent  larvae  from  fewer  cohorts. 

DISCUSSION 

Laboratory  observations  indicate  that  larval 
gulf  menhaden  on  the  average  form  one  growth 
increment  per  day  on  their  otoliths  and  that 
counts  of  these  increments  can  be  used  to  esti- 
mate age.  Otoliths  of  larval  gulf  menhaden  are 


thin  and  round,  and  the  increments  are  generally 
easily  counted  and  consequently  are  ideally 
suited  for  ageing.  The  most  closely  spaced  incre- 
ments, those  occurring  near  the  focus,  were  at 
least  1.5  |xm  wide  and  were  above  the  0.2  jxm 
resolution  of  the  light  microscope  (Campana  and 
Neilson  1985).  First  increment  formation  occurs 
about  5  days  after  spawning  and  probably  coin- 
cides with  first  exogenous  feeding.  This  is  sup- 
ported by  Hettler  ( 1984)  who  found  that  gulf  men- 
haden eggs  hatched  at  about  day  1.7  at  19°-20°C. 
Four  days  after  hatching  larvae  had  functional 


85 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


(42) 


1979 


D ILA 


(324) 


I — C 


1980 


LU 

< 

Q 

LU 
CC 

Q. 
< 
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(191) 


(80 


)l— {JH 


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rn — HLA 


1980 


(338)h 
(223)1 — 


1981 


LA 


c±i ^L/ 

-Cp ITX 


(88)1 IJHFL 

1982 

DEC         I        Jan  I        FEB  ' 


SPAWNING  DATE 

Figure  8. — Schematic  plots  of  the  spawning  times  of  larval  gulf  menhaden  collected  in  the  northern 
Gulf  of  Mexico  during  6  cruises  of  the  RV  Oregon  II  from  December  1979  to  February  1982.  In  each 
distribution  the  vertical  line  is  the  median  value  and  50%  of  the  data  points  fall  within  the  block.  Lines 
beyond  the  boxes  represent  the  range  of  data  points.  The  value  in  parentheses  to  the  left  of  each 
distribution  is  the  number  of  fish. 


mouths  and  were  4.5  mm  SL.  However,  develop- 
mental rates  are  probably  temperature  depen- 
dent (Powell  and  Phonlor  1986),  and  hence  larvae 
at  lower  temperatures  would  be  older  at  first  feed- 
ing. 

The  Gompertz  growth  model  appears  to  ade- 
quately describe  the  growth  of  larval  gulf  men- 
haden in  most  cases.  Except  where  data  are  some- 
what limited  (Figs.  6b,  d;  7b,  d)  the  fit  of  the 
model  is  relatively  good  and  the  r'^  is  >0.73  for 
each  transect  (Table  2).  Gompertz  gi'owth  models 
have  been  used  (Zweifel  and  Lasker  1976;  Methot 
and  Kramer  1979;  Laroche  et  al.  1982;  Warlen 
and  Chester  1985)  to  describe  growth  of  larval 
fishes  where  the  length-age  plots  are  nonlinear 
and  upper  asymptotes  were  apparent. 

Average  growth  rate  of  larval  gulf  menhaden  to 
day  60  was  0.30  mm/day  throughout  its  oceanic 


existence.  This  rate  was  very  similar  to  that,  0.28 
mm/day  (estimated  from  figure  2  of  Hettler  1984), 
for  larvae  reared  in  the  laboratory  at  20°  ±  2°C 
for  60  days.  However,  wild-caught  larvae  were 
from  wider  extremes  in  water  temperature,  with 
mean  early  season  (December)  temperatures 
from  17.4°  to  21.2°C  and  late  season  (February) 
12.9°  to  16.4°C.  The  growth  rate  of  larval  Atlantic 
herring,  Clupea  harengus ,  up  to  50  days  old  was 
similar  and  varied  between  0.23  and  0.30  mm/day 
(Lough  et  al.  1982).  However,  gulf  menhaden  lar- 
vae grew  slower  than  the  fast  growing  but  rela- 
tively short-lived  engraulids — bay  anchovy,  An- 
choa  mitchilli  (Fives  et  al.  1986)  and  northern 
anchovy,  Engraulis  mordax  (Methot  and  Kramer 
1979). 

Only  a  small  number  of  larvae  from  all  the 
collections  were  2^50  days  old.  Larvae  of  this  age 


86 


WARLEN;  ACE  AND  GROWTH  OK  LARVAL  C.rLF  MENHADEN 


were  either  not  in  the  sampling  area  or  were  inac- 
cessible to  the  fishing  gear  used.  Although  the 
latter  cannot  be  fully  discounted,  the  former  pos- 
sibility is  most  likely,  since  larvae  as  they  g:-ow 
are  known  to  be  transported  (Shaw  et  al.  1985b) 
toward  estuaries.  Larvae  are  about  15-25  mm  SL 
(estimated  from  Suttkus  1956)  when  they  enter 
estuaries  in  Louisiana,  and  the  smallest  immi- 
grating larvae  are  estimated  from  the  growth 
model  <Fig.  4)  to  have  been  at  least  30  days  old. 
Larvae  then  are  probably  30-70  days  old  when 
they  enter  Gulf  of  Mexico  estuaries.  This  range  is 
very  similar  to  that  for  Atlantic  menhaden,  B. 
tyranniis,  entering  North  Carolina  estuaries  (S. 
M.  Warlen,  unpubl.  data).  The  so-called  "larval 
drift"  period  for  gulf  menhaden  is  probably  closer 
to  4-10  weeks  than  the  3-5  weeks  surmised  by 
Reintjes  (1970). 

Growth  of  larval  gulf  menhaden  in  the  north- 
ern Gulf  of  Mexico  varied  both  spatially  and  tem- 
porally. For  three  consecutive  years  there  were 
significant  differences  in  gi'owth  for  early  season 
(December)  and  late  season  (February)  larvae 
caught  off  the  Mississippi  River  Delta.  The  in- 
crease in  length  for  early  season  larvae  was 
greater  than  for  larvae  hatched  in  late  season. 
Environmental  conditions  in  this  area  differed 
between  early  season  and  late  season.  Mean 
water  temperature  measured  during  the  Decem- 
ber 1979, 1980,  and  1981  cruises  were  17.4°,  19.4°, 
and  21.2°C,  respectively,  while  in  February  1980, 
1981,  and  1982  the  temperatures  were  13.8°, 
15.7°,  and  14.7°C,  respectively.  Although  not 
shown  experimentally  for  gulf  menhaden  larvae, 
there  is  evidence  that  larvae  of  some  marine 
fishes  grow  faster  at  higher  temperatures  (Lau- 
rence 1978;  Laurence  et  al.  1981).  Jones  (1985) 
also  associated  higher  water  temperatures  with 
higher  growth  of  larvae  and  found  that  increase 
in  length  of  Atlantic  herring  larvae  hatched  early 
in  the  season  was  greater  than  for  larvae  hatched 
late  in  the  season. 

Growth  rate  of  larvae  caught  in  the  same  sea- 
son but  in  different  years  was  inversely  related  to 
mean  water  temperature.  Larvae  caught  in  De- 
cember off  Louisiana  showed  a  trend  of  higher 
growth  (1981  <  1980  <  1979)  at  lower  respective 
mean  water  temperatures  (21.2°,  19.4°,  17.4°C); 
similarly,  the  growth  rates  for  larvae  caught  in 
February  (1981  <  1982  <  1980)  was  higher  at 
lower  respective  mean  water  temperatures  ( 15.7°, 
14.7°,  13.8°C).  Other  environmental  factors  in  ad- 
dition to  temperature  may  also  affect  the  growth 
rate  of  larval  menhaden.  Food  availability  that 


can  be  an  important  growth-limiting  factor  for 
larval  fishes,  may  be  determining  the  relative 
growth  rates  at  the  lower  temperatures  in  Febru- 
ary. On  the  basis  of  limited  data  on  the  zooplank- 
ton  (pelecypod  larvae,  copepod  nauplii,  cope- 
podites,  and  adult  copepods)  that  could  serve  as 
food  for  gulf  menhaden  larvae  (Govoni  et  al. 
1983),  food  availability  (number/100  m'^)  is 
highest  in  February  1980,  lower  in  1982,  and  low- 
est in  1981.  Analogous  food  abundance  data  is  not 
available  for  the  December  cruises,  but  levels 
would  probably  need  to  be  higher  on  a  per  fish 
basis  to  support  the  higher  metabolism  concomi- 
tant with  the  higher  December  mean  water  tem- 
peratures (17.4°-21.2°C).  The  main  and  interac- 
tion effects  of  growth-limiting  (food  abundance) 
and  growth-regulating  (temperature)  factors  on 
larval  gulf  menhaden  growth  still  must  be  deter- 
mined experimentally,  preferably  using  labora- 
tory-spawned and  -reared  larvae. 

The  apparent  growth  advantage  enjoyed  by 
menhaden  larvae  spawned  early  in  the  season 
(November)  is  only  typical  for  a  small  part  of  the 
population.  The  largest  segment  of  the  popula- 
tion, those  spawned  in  the  peak  months  of  Janu- 
ary and  February  (Christmas  and  Waller  1975) 
and  that  immigrated  to  estuaries  in  February- 
April,  typically  had  slower  growth.  Although 
slower  growing,  larvae  spawned  later  in  the  sea- 
son may  be  more  successful  in  reaching  estuaries. 
Guillory  et  al.  (1983)  found  a  negative  relation- 
ship between  temperature  and  gulf  menhaden  re- 
cruitment into  Louisiana  estuaries.  The  larger 
estuarine  recruitment  later  in  the  season  may  be 
related  to  winter-early  spring  (January-April) 
predominant  west-northwest  longshore  flow  of 
coastal  water  within  and  just  outside  the  coastal 
boundary  front  producing  longshore  advective 
transport  and  of  lesser  importance  by  episodic, 
short-term  cross-shelf  advection  associated  with 
cold  fronts  (Shaw  et  al.  1985b).  They  hypothesized 
that  longshore  currents  facilitated  the  movement 
of  larvae  toward  shore.  Only  for  December  did 
they  note  a  reverse  flow  (eastward)  that  would 
not  allow  larvae  to  be  transported  toward  estuar- 
ies west  of  the  Mississippi  delta. 

The  between  transect  comparisons  of  growth 
rate  of  larvae  caught  off  Texas  and  Louisiana  in 
February  showed  a  difference  in  1981  but  not  in 
1982.  Again  higher  growth  rates  were  associated 
with  higher  mean  water  temperatures.  Larvae 
from  the  LA  February  1981  sample  (x  water  tem- 
perature =  15.7°C)  grew  faster  than  larvae  from 
the  TX  February  1981  sample  U  water  tempera- 


87 


FISHERY  HULl.KTIN:  VOL.  86,  NO    1 


ture  =  12.0°C).  Where  no  significant  differences 
in  growth  were  found,  i.e.,  between  LA  and  TX 
February  1982  samples,  the  respective  mean 
water  temperatures  were  14.7°  and  14.4°C.  Nei- 
ther of  those  growth  curves  were  significantly  dif- 
ferent from  the  curve  for  larvae  from  the  FL 
February  1982  sample  where  the  mean  water 
temperature  was  16.4°C.  However,  the  paucity  of 
larvae  >23  days  old  caught  off  Florida  in  Febru- 
ary 1982  (Fig.  7d)  suggests  that  comparisons  of 
that  data  set  with  the  data  sets  for  larvae  caught 
off  Louisiana  and  Texas  in  February  1982  would 
be  of  little  value. 

The  estimated  spawning  period  for  gulf  men- 
haden extended  from  mid-October  to  mid- 
February  (Fig.  8).  These  results  agree  with  Fore 
(1970)  and  Christmas  and  Waller  (1975)  who, 
using  the  occurrence  of  eggs  and  larvae,  esti- 
mated that  gulf  menhaden  spawned  from  mid- 
October  through  March.  Gonad  weight-body 
weight  ratios  of  adults  (Lewis  and  Roithmayr 
1981)  and  morphological  and  physiological  fea- 
tures of  ovarian  tissue  (Combs  1969)  also  indicate 
that  spawning  extends  from  October  to  early 
March.  Based  on  the  movement  of  late  larvae  into 
Lake  Pontchartrain,  Suttkus  (1956)  presumed 
that  gulf  menhaden  spawning  began  in  October 
and  ceased  in  February.  He  suggested  that  the 
beginning  and  end  of  the  spawning  period  fluctu- 
ates from  year  to  year,  and  that  there  is  no  spawn- 
ing activity  during  the  spring  and  summer 
months  as  Higham  and  Nicholson  (1964)  have 
reported  for  the  closely  related  Atlantic  men- 
haden. 

Most  larvae  caught  in  December  were  spawned 
in  November  (Fig.  8)  regardless  of  the  year.  Lar- 
vae caught  in  February  were  spawned  mostly  in 
January  but  estimated  spawning  dates  extended 
from  mid-December  to  mid-February.  For  any 
given  cruise,  larvae  from  off  Texas  and  Louisiana 
were  spawned  at  about  the  same  time.  There  was 
also  considerable  overlap  in  the  spawning  dates 
in  any  cruise  off  Florida  and  the  other  areas.  The 
distribution  of  the  central  507^  of  spawning  dates 
from  the  Louisiana  sample  in  February  1980  ex- 
tended over  a  29-d  period  and  was  wider  than  for 
any  other  data  set.  This  unusually  wide  distribu- 
tion may  have  been  due  to  the  presence  of  two 
distinct  cohorts,  one  spawned  in  late  December 
and  one  in  late  January,  collected  on  the  Febru- 
ary 1980  cruise.  Combs  (1969)  found  that  this 
species  had  intermittent  total  spawning.  Lewis 
and  Roithmayr  (1981)  inferred  that  gulf  men- 
haden were  intermittent,  or  fractional  spawners. 


Christmas  and  Waller  (1975)  noted  a  modal  tem- 
poral distribution  of  eggs  in  the  region  from  the 
Mississippi  delta  to  east  of  Cape  San  Bias.  Bal- 
dauf  sampled  young  menhaden  in  the  lower 
Neches  River,  TX,  from  November  through  April 
and  found  two  incoming  populations  from  which 
he  suggested  that  there  may  have  been  two 
spawning  peaks.  Only  in  the  larval  collections  of 
December  1981  did  spawning  date  distribution 
appear  to  be  bimodal;  7  and  20  November  for  Lou- 
isiana and  8  and  19  November  for  Texas.  Future 
sampling  throughout  the  spawning  season  will  be 
necessary  to  determine  the  seasonal  periodicity 
and  peaks  of  gulf  menhaden  spawning.  Relative 
numbers  of  larvae  in  cohorts  within  the  spawning 
season  could  then  be  compared  with  measure- 
ments of  environmental  conditions  as  a  test  of  the 
match-mismatch  hypothesis  (Cushing  1975)  and 
to  further  test,  as  Methot  (1983)  has  done, 
whether  larvae  spawned  during  favorable  envi- 
ronmental periods  constitute  the  greatest  per- 
centage of  the  year  class. 

ACKNOWLEDGMENTS 

I  thank  the  following  persons  of  the  Beaufort 
Laboratory:  M.  Boyd  who  extracted,  mounted, 
and  aged  otoliths,  W.  Hettler  who  spawned  gulf 
menhaden  and  furnished  eggs  for  the  laboratory 
experiments,  A.  Chester  who  advised  on  statisti- 
cal procedures  and  problems,  D.  Ahrenholz  and 
A.  Powell  who  reviewed  early  drafts  of  the 
manuscript,  and  the  crew  and  scientists  on  the 
RV  Oregon  II  cruises.  P.  Ortner  of  the  Atlantic 
Oceanographic  and  Meteorological  Laboratories, 
NOAA,  Miami,  FL,  provided  raw  data  from  which 
zooplankton  counts  were  summarized.  This  re- 
search was  supported  by  a  contract  from  the 
Ocean  Assessments  Division,  National  Ocean 
Service,  NOAA. 

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CUSHINO.  D  H 

1975.     Marine  ecology  and  fisheries.     Cambridge  Univ. 
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Fore.  P  L 

1970.  Eggs  and  larvae  of  the  Gulf  menhaden.  In  Report 
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GovoNi.  J  J  ,  D  E  Hoss,  AND  A  J  Chester 

1983.     Comparative  feeding  of  three  species  of  larval  fishes 
in  the  northern  Gulf  of  Mexico:  Brevoortia  patronus, 
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GUILLORY.  V  .  J  GEAGHAN.  AND  J.  ROUSSEL 

1983.     Influence  of  environmental  factors  on  gulf  men- 
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Harris.  R  J 

1975.     A  primer  of  multivariate  statistics.     Acad.  Press, 
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HiGHAM,  J  R  .  AND  W  R  NICHOLSON 

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Hoenig.  N  a  .  AND  R  G  Hanumara 

1983.     Statistical  considerations  in  fitting  seasonal  growth 

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Laird.  A  K  .  S  A  Tyler,  and  A  D  Barton 

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Laroche.  J  L .  S  L  Richardson,  and  A  A  Rosenberg 

1982.     Age  and  growth  of  a  pleuronectid,  Parophrys  ve- 
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1978.  Comparative  growth,  respiration  and  delayed  feed- 
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1981.     Implications  of  direct  competition  between  larval 


cod  {Gadus  morhua  I  and  haddock  i Melanogrammus  ae- 
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plor. Mer  178:304-311. 

Lewis.  R  M  .  and  C  M  Roith.mayr 

1981.  Spawning  and  sexual  maturity  of  gulf  menhaden, 
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Lewis.  R  M  .  E  P  H  Wilkins,  and  H  R  Gordy 

1972.  A  description  of  young  Atlantic  menhaden,  Bre- 
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Carolina.     Fish.  Bull.,  U.S.  70:115-118. 

Lough.  R  G  .  M  Pennington.  G  R.  Bolz.  and  A  A  Rosenberg 

1982.  Age  and  growth  of  larval  Atlantic  herring,  Clupea 
harengus  L.,  in  the  Gulf  of  Maine-Georges  Bank  region 
based  on  otolith  growth  increments.  Fish.  Bull.,  U.S. 
80:187-199. 

Methot.  R  D.  JR 

1983.  Seasonal  variation  in  survival  of  larval  northern 
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Methot,  R..  D.,  Jr  ,  and  D  Kramer 

1979.     Growth  of  northern  anchovy,  Engraulis  mordax, 
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Pannella.  G 

1971.     Fish  otoliths:  Daily  growth  layers  and  periodical 
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1979.  Morphometries,  the  multivariate  analysis  of  biolog- 
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P- 
Powell.  A  B ,  and  G  Phonlor 

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U.S.  84:991-995. 
Reintjes.  J  W 

1970.     The  gulf  menhaden  and  our  changing  estuar- 
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Shaw.  R  F  .  J  H  Cowan.  Jr  ,  and  T  L  Tillman 

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(gulf  menhaden)  eggs  and  larvae  in  the  continental  shelf 

waters  of  western  Louisiana.     Bull.  Mar.  Sci.  36:96- 

103. 

Shaw.  R  F  .  W  J  Wiseman,  Jr  .  R  E  Turner.  L  J  Rouse.  Jr  . 

R  E  Condrey.  and  F  J  Kelly.  Jr 

1985b.     Transport  of  larval  gulf  menhaden  Brevoortia  pa- 
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A  hypothesis.     Trans.  Am.  Fish.  Soc.  114:452-460. 
Suttkus,  R  D 

1956.     Early  life  history  of  the  gulf  menhaden.  Brevoortia 
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Tanaka.  R.  Y  Mugiya.  and  J  Yamada 

1981.     Effects  of  photoperiod  and  feeding  on  daily  growth 
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Turner.  W  R 

1969.     Life  history  of  menhadens  in  the  eastern  Gulf  of 
Mexico.     Trans.  Am.  Fish.  Soc.  98:216-224. 
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89 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 

WiEBK.  P  H  .  K  H  Burt.  S  H  Boyd,  and  A  W  Morton  Zweifei,.  J  R .  and  R  Lasker 

1976.     A  multiple  opening/closing  net  and  environmental  1976.     Prehatch  and  posthatch  growth  of  fishes — a  general 

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34:313-326. 


90 


SOURCES  OF  VARIATION  IN  CATCH  PER  UNIT  EFFORT 

OF  YELLOW!  AIL  FLOUNDER,  LIMANDA  FERRUGINEA  (STORER), 

HARVESTED  OFF  THE  COAST  OF  NEW  ENGLAND 

LORETTA  O  BrIEN  AND  RALPH  K.  MaYO^ 

ABSTRACT 

Factors  affecting  variability  in  commercial  catch  per  unit  effort  (CPUE)  of  yellowtail  flounder  were 
examined  in  order  to  establish  a  basis  for  standardizing  fishing  effort.  Analysis  of  variance  ( ANOVA) 
procedures  were  employed  to  test  for  differences  in  CPUE  among  vessel  tonnage  class,  fishing  area, 
and  depth  zone  and  the  interactions  between  tonnage  class  and  area,  and  tonnage  class  and  depth. 
Vessel  tonnage  class  and  fishing  area  accounted  for  highly  significant  IP  <  0.01)  sources  of  variation 
in  CPUE  whereas  depth  was  not  significant  (P  >  0.05)  in  most  cases.  Interactions  between  tonnage 
class  and  stock  area  were  also  highly  significant  in  all  cases.  A  series  of  annual  fishing  power 
coefficients  was  computed  for  each  tonnage  class  relative  to  a  standard  for  each  stock  based  on 
parameter  estimates  obtained  by  fitting  the  CPUE  observations  to  a  linear  model  with  tonnage  class 
as  the  independent  variable.  Deviations  of  annual  fishing  power  coefficients  from  the  20-year  mean 
were  found  to  exhibit  significant  first  order  autocorrelations.  Consequently,  annual  coefficients  were 
computed  over  the  entire  1964-83  period  by  incorporating  tonnage  class,  annual  and  seasonal  effects 
as  independent  variables  in  a  three-way  linear  model.  Although  the  standardized  CPUE  estimates 
obtained  from  this  procedure  are  similar  to  those  obtained  by  previous  methods,  the  revised  proce- 
dures described  in  this  paper  insure  adequate  representation  of  all  vessel  classes  engaged  in  the 
yellovfcrtail  fishery  in  the  CPUE  calculations. 


Fishing  effort  and  resulting  catch  per  unit  effort 
(CPUE)  indices  are  routinely  used  in  assessing 
the  impact  of  commercial  fishing  operations  on 
stock  abundance.  The  traditional  concept  that  ag- 
gregate CPUE  indices  may  be  used  to  measure 
annual  changes  in  relative  stock  abundance  is 
based  on  the  principal  assumption  that  the  catch- 
ability  coefficient  (q)  either  remains  constant 
over  all  fleet  components,  or  that  nominal  effort  is 
adjusted  to  account  for  differences  in  relative  effi- 
ciencies (Pope  and  Parrish  1964;  Kimura  1981). 
Variation  in  q  may  be  due  to  persistent  differ- 
ences in  fishing  power  of  various  types  of  gear  or 
to  technological  innovations  which  may  be  gradu- 
ally introduced  over  time  (Gulland  1964;  Sis- 
senwine  1978).  Biological  interactions  such  as 
changes  in  availability  of  a  species  due  to  sea- 
sonal distribution  patterns  or  to  annual  changes 
in  abundance  may  also  affect  the  overall  catcha- 
bility  of  demersal  species  (Garrod  1964;  Pope  and 
Garrod  1975).  Variability  in  catchability  coeffi- 
cients may  be  taken  into  account  by  relating  nom- 
inal fishing  effort  of  each  fleet  component  to  some 
chosen  standard  category. 


'Northeast  Fisheries  Center  Woods  Hole  Laboratory,  Na- 
tional Marine  Fisheries  Service.  NOAA,  Woods  Hole,  MA 
02543. 


Manuscript  accepted  October  1987. 
FISHERY  BULLETIN;  VOL.  86.  NO.  1,  1988. 


Numerous  authors  have  described  the  basic 
procedures  for  calculating  relative  fishing  power 
of  various  fleet  components.  Beverton  and  Holt 
(1957)  provided  evidence  to  suggest  that  the  dis- 
tribution of  logarithms  of  fishing  power  factor/ 
vessel  tonnage  ratios  could  be  described  by  a  nor- 
mal curve  while  Gulland  (1956)  employed  an 
analysis  of  variance  (ANOVA)  model  of  log 
CPUE.  The  properties  of  the  ANOVA  model  were 
further  examined  by  Robson  (1966)  who  extended 
the  techniques  developed  by  Gulland  (1956)  and 
formally  specified  the  analysis  of  Beverton  and 
Holt  (1957)  as  a  two-way  multiplicative  ANOVA 
model.  Stern  and  Hennemuth  (1975)  employed 
the  method  of  Robson  (1966)  in  their  analysis  of 
fishing  effort  in  the  U.S.  Georges  Bank  haddock 
fishery  using  depth  fished  and  vessel  tonnage  as 
classification  variables.  In  a  previous  study, 
Rounsefell  (1957)  computed  standardized  log 
CPUE  indices  to  determine  relative  abundance  of 
several  co-occurring  species  on  Georges  Bank  ac- 
cording to  depth.  More  recently,  Gavaris  (1980) 
and  Kimura  (1981)  have  developed  modifications 
of  the  ANOVA  model  to  estimate  annual  stan- 
dardized CPUE  indices  from  time  series  of  catch 
and  effort  data  by  incorporating  a  year  effect  in 
the  model. 

Standardized  annual  CPUE  indices  based  on 

91 


I-ISIIKKY  lUU.l.KTIN:  VOL,  86,  NO.  1 


criteria  established  by  Lux  (1964)  have  been  rou- 
tinely used  to  monitor  relative  abundance  of 
three  stocks  of  yellowtail  flounder,  Limanda  fer- 
ruginea  (Storer),  in  the  commercial  fishery  off  the 
New  England  coast  (Fig.  1 ).  Lux  calculated  CPUE 
indices  for  otter  trawlers  ranging  from  <26  gross 
registered  tons  (GRT)  to  100  GRT  based  on  trips 
in  which  yellowtail  flounder  accounted  for  bQ^/<  or 
more  of  the  total  landed  weight  between  1942  and 
1961.  A  fishing  power  coefficient  was  then  com- 
puted for  each  of  several  GRT  categories  as  the 
ratio  of  CPUE  to  a  standard  GRT  category  CPUE 
for  the  entire  timespan.  A  separate  set  of  fishing 
power  coefficients  was  computed  for  each  of  the 
three  stocks.  Lux's  (1964)  work  improved  upon  an 
earlier  analysis  of  yellowtail  flounder  CPUE  by 
Royce  et  al.  ( 1959)  which  was  based  only  on  rela- 
tively small  vessels  ranging  in  size  from  5  to  50 
GRT  that  dominated  the  fishery  during  the 
1940's. 

Since  1964,  numerous  technological  innova- 
tions have  drastically  changed  the  character  of 
the  New  England  fishing  fleet  as  traditional  side 
trawlers  have  gradually  given  way  to  larger, 
more  efficient  stern  trawlers  equipped  with  so- 
phisticated electronic  navigation  and  hydroa- 
coustic  devices.  This  gradual  alteration  in  the 
fleet  characteristics  over  time  suggests  that  pre- 
viously documented  relationships  among  vessel 


categories  may  no  longer  be  applicable  to  the  cur- 
rent fishery,  and  that  use  of  nominal  effort  in 
CPUE  calculations  will  tend  to  overestimate  rela- 
tive abundance  in  the  more  recent  years 
(Westrheim  and  Foucher  1985).  Long-term  de- 
clines in  yellowtail  flounder  abundance  on  each  of 
the  principal  fishing  grounds  (Clark  et  al.  1984) 
also  indicate  that  current  catchability  coefficients 
may  differ  from  previous  values.  Accordingly,  up- 
dated fishing  power  coefficients  are  required  to 
adequately  assess  changes  in  effective  fishing  ef- 
fort and  CPUE  which  have  occurred  during  the 
past  two  decades.  Further,  to  obtain  annual  effort 
and  CPUE  estimates  over  such  a  broad  period  of 
years,  techniques  for  computing  relative  fishing 
power  should  incorporate  a  time  element  in  the 
analysis. 

In  this  paper  we  examine  variation  in  CPUE 
with  respect  to  fishing  area,  depth,  vessel  tonnage 
class,  season,  and  year  for  three  stocks  of  yellow- 
tail flounder  on  Georges  Bank,  Southern  New 
England,  and  Cape  Cod  grounds  between  1964 
and  1983.  Before  evaluating  differences  in  rela- 
tive fishing  power  among  vessel  classes,  we  inves- 
tigate potential  interactions  between  tonnage 
class  and  area  and  tonnage  class  and  depth 
within  each  year,  and  partition  the  data  to  mini- 
mize tonnage  class-area  interactions.  For  each 
stock,  fishing  power  coefficients  are  examined  for 


68  67  66 

Figure  1.— Yellowtail  flounder  stocks  off  the  coast  of  New  England  (After  Lux  1963). 


92 


O'BRIEN  AND  MAYO:  CPUE  OF  YELLOWTAIL  FLOUNDER 


annual  and  seasonal  interactions.  A  three-way 
linear  model,  incorporating  annual  and  seasonal 
components,  is  employed  to  compute  relative 
fishing  power  coefficients  over  the  entire  20-yr 
period  and  estimate  annual  standardized  CPUE 
indices. 

DISTRIBUTION  OF  CATCH  AND 
EFFORT 

Commercial  exploitation  of  yellowtail  flounder 
began  in  the  late  1930's  following  the  decline  of 
the  winter  flounder  fishery  (Royce  et  al.  1959). 
Nominal  catches^  for  the  three  grounds  combined 
rapidly  increased  to  31,500  metric  tons  (t)  in  1942 
but  subsequently  declined  to  5,500  t  in  1954. 
Landings  by  U.S.  vessels  gradually  increased  to  a 
record  high  of  36,900  t  in  1963,  but  declined  again 
to  10,500  t  in  1978  (Fig.  2).  Distant  water  fleet 
(DWF)  catches  were  also  substantial  during  this 


2Nominal  catch  defined  as  live  weight  equivalent  of  landings, 
excluding  discards. 


period,  peaking  at  20,700  t  in  1969.  Overall 
catches  from  the  three  fishing  grounds  have  re- 
cently increased  to  30,800  t  in  1983,  although 
1984  landings  declined  to  15,500  t  (Clark  et  al. 
1984).  The  decline  in  catch  during  the  1940's  was 
not  due  to  overfishing  (Royce  et  al.  1959)  but  may 
have  been  related  to  a  warming  trend  in  the  re- 
gion which  affected  recruitment  (Sissenwine 
1974).  The  more  recent  decline  between  1969  and 
1978,  however,  has  been  attributed  to  increased 
fishing  effort  by  both  domestic  and  distant  water 
fleets  (Brown  et  al.  1980). 

In  the  early  1940's  the  size  of  vessels  fishing  for 
yellowtail  flounder  varied  from  5  to  75  GRT.  The 
predominant  vessels  on  Southern  New  England 
and  Cape  Cod  grounds  ranged  from  26  to  50  GRT; 
on  Georges  Bank,  the  dominant  vessels  were  in 
the  51-75  GRT  range.  By  the  mid-1960's  larger 
vessels  had  begun  to  enter  the  fishery,  increasing 
the  maximum  size  to  215  GRT.  During  this  period 
the  size  range  of  the  dominant  vessels  on  South- 
ern New  England  grounds  and  on  Georges  Bank 
had  increased  to  51-72  and  73-104  GRT,  respec- 


55  n 


O 

CO 

O 
O 

o 

I 

O) 

c 

C 
<0 


50- 


45 

'cJj 
S     40 


30- 


Total 


DWF 


nVja-yy 


1940 


1945 


1950 


1955 


1960  1965 

Year 


Figure  2. — Yellowtail  flounder  landings  (metric  tons)  by  United  States  and  distant  water  fleet  (DWF)  vessels 
from  the  combined  Georges  Bank,  Southern  New  England,  and  Cape  Cod  grounds,  1940-84. 


93 


FISHKKY  MUI.LKTIN:  VOL.  86,  NO    1 


tively.  Vessels  fishing  the  relatively  nearshore 
Cape  Cod  grounds  remained  in  the  34-50  GRT 
range.  Larger  vessels  continued  to  enter  the  fish- 
ery during  the  1970's  and,  by  1983,  several  ves- 
sels were  in  the  311-400  GRT  range.  Since  1964, 
vessel  CRT's  have  been  categorized  by  tonnage 
class  (TO  as  given  in  Table  la. 

A  review  of  Lux's  (1964)  data  from  1942  to  1961 
and  the  distribution  of  more  recent  yellowtail 
flounder  landings  from  1964  to  1983  (Figs.  3-5) 
reveal  that  vessels  of  similar  size  have  continu- 
ally fished  the  same  general  areas  over  the  past 
40  years.  The  TC  21-24  vessels  fish  primarily  on 
Southern  New  England  and  Cape  Cod  grounds 
(Fig.  3 1,  although  TC  24  vessels  occasionally 
enter  the  southwest  part  of  Georges  Bank.  The 
TC  25-33  vessels  fish  on  both  Georges  Bank  and 
Southern  New  England  grounds  (Fig.  4),  while 
TC  41-43  vessels  concentrate  on  Georges  Bank 
(Fig.  5).  Although  TC  41  vessels  operate  at  times 
on  the  eastern  part  of  the  Southern  New  England 
grounds,  the  TC  42  and  43  vessels  fish  exclusively 
on  Georges  Bank. 

The  distribution  plots  (Figs.  3-5)  reveal  a  grad- 
ual phaseout  of  smaller  (TC  21-24)  vessels  on  the 
inshore  Southern  New  England  and  Cape  Cod 
grounds  and  a  concurrent  increase  in  the  activity 
of  large  (TC  41-43)  vessels  on  Georges  Bank, 
Southern  New  England,  and,  to  a  lesser  extent, 
on  the  Cape  Cod  grounds.  In  evaluating  trends  in 
CPUE  we  must  ask  whether  these  changes  in  the 
yellowtail  fishery  over  the  past  20  years  (i.e.,  the 
shift  in  the  predominant  vessel  size  on  two  of  the 


Table  1. — Definition  of  vessel  tonnage  classes  (a)  and  depth 
ranges  and  corresponding  zones  (b)  included  in  analysis  of  vari- 
ance of  yellowtail  flounder  CPUE. 


a        Gross  registered 

tonnage 

Vessel  tonnage 

(range) 

class 

5-10 

21 

11-15 

22 

16-22 

23 

23-33 

24 

34-50 

25 

51-72 

31 

73-104 

32 

105-150 

33 

151-215 

41 

216-310 

42 

311-400 

43 

b            Depth  range 

Depth 

(m) 

zone 

1-55 

1 

56-110 

2 

111-183 

3 

three  grounds  and  the  addition  of  larger  vessels  to 
the  fieet  on  all  three  grounds)  affect  CPUE  as 
calculated  by  the  traditional  method  (Lux  1964). 
If  the  same  size  range  of  vessels  (5-100  GRT)  had 
fished  for  yellowtail  flounder  throughout  the 
years,  a  shift  in  the  dominant  vessel  class  would 
not  affect  CPUE  estimates  since  effort  would  be 
standardized  against  the  same  class  and  is,  there- 
fore, relative.  However,  the  maximum  vessel  size 
has  increased  and  the  predominant  TC  now  repre- 
sents vessels  larger  than  100  GRT.  Since  landings 
and  effort  data  contributed  by  these  larger  vessels 
were  not  incorporated  into  previous  CPUE  calcu- 
lations, CPUE  estimates  will  not  necessarily  rep- 
resent overall  fleet  performance  in  recent  years. 
The  following  procedures,  therefore,  were  devel- 
oped to  calculate  new  fishing  power  coefficients 
that  encompass  the  entire  size  range  of  vessels 
currently  in  the  fishery. 

METHODS  OF  ANALYSIS 

Catch  and  effort  data  recorded  by  trip  were  ob- 
tained from  Northeast  Fisheries  Center  (NEFC) 
detailed  commercial  landings  files.  Fishing  effort 
or  days  fished  (df)  is  defined  on  a  24-h  basis  as 
number  of  hours  of  actual  fishing  time  divided  by 
24.  Only  trips  landing  50%  or  more  of  yellowtail 
flounder  were  analyzed;  trips  included  within  the 
qualification  level  generally  accounted  for  70- 
90%  of  the  total  yellowtail  landings  over  the  en- 
tire period,  except  on  Cape  Cod  grounds  where 
qualified  trips  accounted  for  40-60%  of  the  total. 
Catch  per  day  fished  (CPUE)  was  computed  for 
each  trip  and  transformed  to  In  CPUE  since  pre- 
liminary analysis  indicated  a  positive  correlation 
of  the  arithmetic  mean  CPUE  with  the  variance. 
Use  of  the  log  transformation,  however,  stabilized 
the  variance  and  created  a  lognormal  distribution 
as  noted  by  Gulland  (1956)  and  Steel  and  Torrie 
(1980). 

Trips  landing  between  1964  and  1983  are  clas- 
sified in  the  data  base  by  vessel  tonnage  class, 
statistical  area,  and  depth  zone  fished.  Vessels 
ranging  in  size  from  5  to  310  GRT  (Table  la)  and 
statistical  areas  corresponding  to  the  three  major 
stocks  were  selected  for  analysis  as  follows: 
Georges  Bank  (areas  522-525),  Southern  New 
England  (area  526  and  537-539),  and  Cape  Cod 
(areas  514  and  521)  (Fig.  6).  Because  of  their  spo- 
radic representation,  TC  21-23  vessels  have  been 
excluded  from  the  Georges  Bank  analyses  and 
have  been  combined  as  one  category  on  the  South- 
ern New  England  grounds.  Depth  zones  1,  2,  and 


94 


O'BRIEN  AND  MAYO  CPUE  OF  YELLOWTAIL  FLOUNDER 


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O'BRIEN  AND  MAYO:  CPUE  OF  YELLOWTAIL  FLOUNDER 


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FISHERY  BULLETIN:  VOL.  86.  NO.  1 


Figure  6. — Yellowtail  flounder  fishing  grounds  defined  by  U.S.  statistical  area  are  as  follows:  Southern  New 
England.  526-539;  Georges  Bank,  522-525;  Cape  Cod,  514  and  521. 


3  (Table  lb)  were  also  selected  from  six  possible 
zones  based  on  the  bathymetric  distribution  of 
yellowtail  flounder. 

Trip  data  were  aggi'egated  at  different  levels  of 
spatial  resolution  to  examine  variability  in 
CPUE  over  the  entire  region  and  within  each  of 
the  three  established  stocks.  Two-way  ANOVAs 
with  interaction  were  performed  on  annual  data 
sets  using  the  BMDP  statistical  software  progi'am 
P4V  (Dixon  1981).  Given  the  large  number  of  ob- 
servations in  each  analysis,  the  more  rigorous 
99%  significance  level  was  chosen  to  test  the  null 
hypothesis  (no  significant  differences)  since 
relatively  small  differences  in  mean  CPUE  can 
produce  statistically  significant  results.  The 
ANOVA  was  performed  initially  to  test  for  differ- 
ences in  CPUE  among  all  tonnage  classes  and 
statistical  areas  and  to  determine  the  overall  ex- 
tent of  tonnage  class-area  interactions.  Second- 
ary analyses  were  performed  to  examine  the  ef- 
fect of  tonnage  class-area  and  tonnage  class-depth 
interactions  among  and  within  each  of  the  stocks. 
All  subsequent  tests  for  significance  of  tonnage 
class,  area,  and  depth  main  effects  were  per- 
formed with  the  interaction  effects  absorbed  in 
the  error  sum  of  squares.  Estimates  of  annual 
geometric  mean  CPUE  were  obtained  by  combi- 
nations of  tonnage  class,  stock  area,  and  depth 
from  the  row  and  column  means  provided  by  the 
P4V  software  (Tables  2,  3). 


A  standard  vessel  class  was  selected  for  each  of 
the  three  stocks  for  use  in  calculation  of  fishing 
power  coefficients  based  on  the  prevalence  of  the 
vessel  class  in  the  fishery  and  its  relative  contri- 
bution to  the  landings  over  the  20  years.  The  TC 
32  category  was  chosen  as  the  standard  for  both 
Georges  Bank  and  Southern  New  England  stocks, 
and  the  TC  25  class  was  chosen  as  the  standard 
for  the  Cape  Cod  stock.  Within  each  stock  annual 
fishing  power  coefficients  were  derived  for  each 
tonnage  class  relative  to  the  standard  by  fitting 
In  CPUE  to  a  one-way  linear  model  using  the 
GLM  procedure  of  the  Statistical  Analysis  Sys- 
tem (SAS  Institute  1982)  as  follows: 


U   =  CC   +   ^    [^jXj]   +   ^. 


Annual  deviations  of  the  coefficients  from  the 
20-yr  mean  were  tested  for  first  order  autocorre- 
lation using  the  Durbin-Watson  test  statistic 
(Neter  and  Wasserman  1974).  A  time  component 
was  subsequently  incorporated  in  the  linear 
model  to  account  for  annual  trends  in  the  data; 
seasonal  effects  were  also  included  by  classifying 
the  data  according  to  calendar  quarter.  The  ini- 
tial year  (1964)  and  the  fourth  quarter  were  se- 
lected as  reference  categories.  The  general  model 
is  specified  as: 


98 


O'BRIEN  AND  MAYO:  CPUE  OF  YELLOWTAIL  FLOl'NDER 

Table  2. — Geometric  mean  CPUE^  (landings  per  day  fished,  metric  tons)  for  Georges  Bank,  Southern  New  England,  and  Cape  Cod 

yellowtail  flounder  trips  by  vessel  tonnage  class,  1964-83. 


Vessel  tonnage 

class 

Year 

Vessel  tonnage  class 

Year 

21 

22 

23 

24 

25 

31 

32 

33 

41 

42 

21 

22 

23 

24 

25 

31 

32 

33 

41   42 

Georges  Bank 

1964 

— 

— 

— 

3.65 

4.17 

4.88 

5.04 

4.58 

4.52 

2.14 

1974 

— 

1.08 

1  62 

231 

2.14 

2.07 

2.07 

2.64 

1.30   — 

1965 

— 

— 

— 

2.41 

3.06 

3.62 

3.55 

3.39 

4.97 

— 

1975 

— 

0.57 

1.57 

1.13 

1.29 

1.33 

1.55 

1.55 

1.72   — 

1966 

— 

— 

1.18 

1.25 

2.27 

276 

2.78 

2.76 

2.71 

— 

1976 

— 

0.72 

0.90 

0.53 

0.86 

1.13 

1  32 

1.69 

2.06   — 

1967 

— 

— 

— 

— 

2.20 

2.74 

2.96 

278 

265 

— 

1977 

— 

0.93 

1.73 

1.44 

1.77 

1.61 

1.82 

1.98 

1.81   — 

1968 

— 

— 

— 

3.88 

2.99 

3.47 

3.55 

384 

3.53 

2.66 

1978 

— 

— 

2.72 

1.15 

1.58 

1.52 

2.04 

2.26 

282   — 

1969 

— 

— 

— 

3.28 

2.82 

3.06 

3.30 

3.02 

2.81 

3.88 

1979 

0.79 

1.74 

2.28 

1.59 

2.17 

2.32 

2.93 

2.88 

3.64   — 

1970 

— 

— 

— 

3.74 

2.40 

2.88 

308 

2.81 

2.70 

— 

1980 

— 

1.02 

246 

1.91 

2.54 

2.68 

2.81 

3.07 

3.00   — 

1971 

— 

— 

— 

1.66 

2.07 

2.70 

252 

2.24 

2.35 

— 

1981 

— 

1.88 

2.50 

1.43 

2.58 

2.76 

2.61 

3.28 

2.23   — 

1972 

— 

— 

— 

— 

1.96 

224 

239 

2.29 

1.96 

— 

1982 

249 

1.96 

2.42 

2.29 

3  10 

3.20 

3.72 

3.98 

3.97   — 

1973 

— 

— 

— 

1.38 

2.64 

2.61 

2.81 

3.05 

2.76 

3.20 

1983 

8.81 

1.74 

2.51 

3.35 

3.43 

3.27 

3.65 

3.57 

3.79   — 

1974 

— 

2.52 

— 

— 

2.79 

2.13 

2.23 

2.19 

1.30 

3.42 

pane  Cnd 

1975 

— 



— 

1.93 

1.91 

1.64 

1.93 

2.04 

1.72 

3.19 

*» 

^i^l^f  u  » 

1976 







1.35 

1.69 

1.77 

1.84 

2.16 

2.06 



1964 

— 

1.65 

1.38 

1.94 

2.64 

2.85 

2.76 

— 

—   — 

1977 







1.17 

1.66 

1.77 

226 

1.81 



1965 

— 

1.45 

1.20 

1.59 

2.16 

3.56 

2.12 

2.07 

—   — 

1978 









1.67 

1.50 

1.72 

2.03 

282 



1966 

1.13 

1.07 

1.23 

1.48 

2.55 

3.64 

1.76 

— 

—   — 

1979 



2.69 



1.31 

1.80 

2.41 

2.37 

2.82 

3.64 



1967 

— 

0.78 

0.90 

1.56 

2.46 

3.21 

1.95 

2.62 

—   — 

1980 



0.30 



1.09 

0.90 

2.88 

2.62 

3.27 

3.00 



1968 

— 

1.16 

0.99 

1.89 

2.65 

4.11 

2.42 

— 

1.13   — 

1981 

_ 



1.12 

1.24 

1.98 

2.48 

2.61 

223 



1969 

— 

1.66 

1.33 

202 

2.77 

3.64 

2.47 

— 

—   — 

1982 





1.88 

0.48 

2.02 

1.71 

2.10 

2.53 

397 

2.07 

1970 

— 

1.03 

1.05 

2.34 

2.33 

3.64 

26.96 

234.18 

2.91   — 

1983 

— 

— 

— 

— 

0.79 

2.46 

1.97 

2.21 

3.79 

— 

1971 
1972 

1.71 

1.17 
1.63 

1.89 
1.16 

2.43 
2.02 

2.04 
1.85 

2.24 
2.02 

1.90 
1.46 

2.45 
1.79 

3.36   — 
1.93   — 

Southern  New  England 

1973 

1.02 

1.32 

1.06 

1.87 

1.99 

1.90 

1.91 

1  63 

284   — 

1964 

234 

1.94 

6.15 

4.88 

4.66 

4.44 

5.04 

4.59 

4.09 

— 

1974 

0.83 

1.15 

0.90 

1.59 

2.08 

1.74 

1.82 

1.87 

1.37   — 

1965 

1.77 

1.55 

3.87 

3.62 

3.12 

3.56 

3.81 

4.05 

1.50 

— 

1975 

0.77 

1.13 

1.23 

1.42 

1.92 

1.45 

1.64 

1.09 

1.19   — 

1966 

1.21 

306 

3.19 

2.93 

2.52 

261 

2.56 

2.35 

3.03 

— 

1976 

0.34 

1.31 

1.38 

1.69 

1.93 

1.42 

1.54 

1.88 

2.15   — 

1967 

1.80 

1.14 

294 

3.38 

323 

2.67 

2.66 

2.31 

1.80 

— 

1977 

0.28 

0.86 

1.25 

1.50 

2.03 

1.45 

1.42 

2.19 

2.57   — 

1968 

2.24 

4.15 

4.69 

4.42 

4.02 

3.41 

3.62 

3.63 

3.53 

— 

1978 

— 

0.84 

1.59 

1.90 

2.11 

1.96 

1.53 

1.92 

5.99   — 

1969 

265 

372 

5.17 

3.81 

4  10 

3.39 

3.43 

4.01 

2.81 

— 

1979 

0.98 

0.91 

1.42 

1.83 

2.10 

2.24 

1.74 

2.23 

3.12   — 

1970 

7.74 

3.28 

4.76 

3.77 

3.96 

3.08 

3.64 

2.87 

2.70 

— 

1980 

0.26 

0.58 

1.30 

1.73 

2.18 

2.24 

2.07 

2.19 

3.34   — 

1971 

11.72 

1.60 

4.06 

3.14 

3.32 

2.85 

2.87 

3.16 

2.35 

— 

1981 

0.70 

0.76 

1.17 

1.69 

2.24 

2.40 

1.22 

1.85 

2.99   — 

1972 

— 

1.96 

3.19 

2.62 

3.30 

3.01 

2.96 

3.04 

1.96 

— 

1982 

0.54 

0.71 

1.22 

1.79 

2.02 

2.41 

1.57 

1.94 

2.37   — 

1973 

— 

1.01 

1.05 

2.26 

2.66 

2.29 

2.22 

2.12 

2.76 

— 

1983 

0.69 

1.51 

1.23 

1.96 

1.91 

1.29 

1.53 

1.46 

0.83   — 

^Calculated  as    exp 


1  nX  In 


'  landings  I 
effort    I 


20nly  one  trip  by  tonnage  classes  32  and  33  in  1970  on  Cape  Cod  grounds. 


u 


a +  2!  lP#(/]  +  e 


where      U  =  \n  CPUE, 

a  =  intercept  estimate, 

P,Y  =  model  parameter  estimates  in  loga- 
rithmic units  for  category  7  for  ton- 
nage class,  season,  and  year, 

X,j  =  dummy  variable  for  tonnage  class, 
season,  and  year  ( =  1  when  category 
j  occurs;  =  0  otherwise),  and 

e  —  error  term. 

All  tests  for  significance  of  main  effects  were 
based  on  the  above  model  without  interaction. 
Separate  ANOVAs  were  also  performed  to  exam- 


ine first  order  interactions.  Parameter  estimates 
obtained  from  the  model  without  interaction  were 
retransformed  following  methods  described  by 
Bradu  and  Mundlak  (1970)  to  derive  unbiased 
fishing  power,  seasonal,  and  annual  coefficients. 
Annual  coefficients  corresponding  to  the  1965-83 
period  were  multiplied  by  the  reference  year 
CPUE  to  compute  annual  standardized  CPUE  es- 
timates. 

RESULTS 

Smaller  vessels  (TC  21-24)  generally  exhibited 
the  lowest  CPUE  indices  in  all  three  areas,  al- 
though TC  21-23  vessels  were  not  represented  on 
Georges  Bank  (Table  2).  Catch  rates  of  medium 
vessels  (TC  25;  31-33)  were  similar  to  each  other, 
and  were  generally  greater  than  those  for  TC  21- 
24  vessels.  Mean  CPUE  indices  for  the  largest 
vessels  (TC  41  and  42)  were  more  variable,  but 
generally  were  equal  to  or  greater  than  those 


99 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


Table  3. — Geometric  nriean  CPUE^  (landings  per  day  fished,  metnc  tons)  for  Georges  Bank, 
Southern  New  England,  and  Cape  Cod  yellowtail  flounder  tnps  by  depth  zone,  1964-83. 


Georges  Bank 

So 

ut 

herr 

New  England 
pth  zone 

Cape  Cod 

Depth  zone 

De 

Depth  zone 

Year 

1 

2 

3 

Combined      1 

2 

3 

Combined 

1 

2 

3        Combined 

1964 

3.92 

4.91 

2.74 

4.80 

5.05 

4.96 

4.71 

503 

2.13 

2.36 

— 

2.25 

1965 

3.76 

3.48 

— 

3.55 

3.61 

3.88 

2.28 

366 

1.61 

1.80 

2.36 

1.71 

1966 

3.02 

2.62 

1.29 

2.71 

2.71 

2.66 

0.71 

2.71 

1.99 

2.13 

1.70 

2.07 

1967 

3.19 

2.69 

2.81 

2.79 

2.97 

2.77 

1.14 

2.91 

1.52 

2.16 

— 

1.80 

1968 

3.38 

3.51 

— 

3.49 

3.70 

3.97 

3.24 

3.76 

2.15 

2.31 

— 

2.24 

1969 

3.36 

3.11 

— 

3.16 

3.62 

3.93 

1.58 

3.66 

2.16 

2.66 

— 

2.27 

1970 

2.81 

2.99 

1.00 

2.93 

3.44 

3.68 

1.62 

3.49 

1.10 

2.24 

234.18 

1.40 

1971 

2.20 

2.30 

2.75 

2.28 

3.26 

2.96 

— 

3.14 

1.03 

1.94 

— 

1.46 

1972 

2.28 

2.37 

1.34 

2.35 

3.28 

3.25 

2.74 

3.27 

1.56 

1.88 

— 

1.82 

1973 

2.30 

3.06 

2.85 

2.91 

2.41 

2.55 

4.40 

2.47 

1.75 

1.83 

2.27 

1.81 

1974 

2.10 

2.32 

2.90 

2.30 

2.31 

2.02 

— 

2.19 

1.86 

1.78 

— 

1.82 

1975 

1.85 

1.99 

1.29 

1.98 

1.59 

1.63 

— 

1.60 

1.53 

1.38 

1.32 

1.46 

1976 

1.75 

2.06 

— 

2.03 

1.34 

1.56 

— 

1.43 

1.54 

1.88 

2.93 

1.70 

1977 

1.92 

2.15 

1.67 

2.14 

1.92 

1.97 

— 

1.94 

1,70 

1.89 

1.27 

1.77 

1978 

1.78 

2.09 

1.98 

2.07 

2.45 

2.17 

— 

2.32 

1.90 

1.71 

3.49 

1.86 

1979 

2.47 

2.79 

2.04 

2.74 

2.88 

2.39 

— 

2.76 

2.03 

2.03 

2.47 

2.03 

1980 

2.58 

3.50 

1.53 

3.37 

2.71 

3.51 

1.13 

3.04 

2.06 

2.31 

2.38 

2.16 

1981 

2.26 

2.88 

1.54 

2.76 

2.46 

2.78 

— 

2.58 

1.74 

1.96 

5.67 

1.79 

1982 

2.34 

2.66 

2.53 

2.62 

3.20 

3.54 

4.53 

3.31 

1.81 

1.44 

0.91 

1.67 

1983 

1.98 

2.28 

3.04 

2.26 

3.08 

3.13 

5.91 

3.10 

1.70 

1.41 

— 

1.62 

1  Calculated  as  exp 

1 

n-:i  In  ( 

andings 
effort 

)] 

20nly  one  tnp  in  depth  zone  3  in  1970  on  Cape  Cod  grounds. 


corresponding  to  medium  and  small  vessels,  par- 
ticularly in  the  later  years  (Table  2).  The  initial 
ANOVAs  performed  over  all  statistical  areas  re- 
vealed highly  significant  iP  <  0.01)  differences  in 
CPUE  for  tonnage  class  and  area  main  effects  in 
each  of  the  20  years  (Table  4).  The  interaction  of 
tonnage  class  and  area  was  also  highly  signifi- 
cant in  all  years,  suggesting  that  relative  fishing 
power  of  the  individual  vessel  classes  varies  ac- 
cording to  area.  ANOVA  results  for  the  compari- 
son of  CPUE  among  stocks  were  highly  signifi- 
cant for  area  main  effects  in  19  out  of  20  years, 
and  the  tonnage  class-stock  area  interaction  term 
was  highly  significant  in  all  years  (Table  4). 
Grouping  the  data  according  to  stock  tended  to 
reduce  the  amount  of  significant  tonnage  class- 
area  interaction  within  each  stock,  although  dif- 
ferences among  tonnage  classes  remained  highly 
significant. 

On  Georges  Bank  the  differences  in  CPUE  were 
highly  significant  for  statistical  area  and  tonnage 
class  main  effects  in  80  and  lOO'/r  of  the  years, 
respectively,  while  the  tonnage  class-area  inter- 
action was  highly  significant  in  only  40%  of  the 
years.  Differences  due  to  area  on  Southern  New 
England  grounds  were  highly  significant  in  all 
years  except  1978,  and  differences  due  to  tonnage 
class  were  highly  significant  in  all  years.  The  in- 
teraction term  was  highly  significant  in  70%  of 


the  years.  Differences  due  to  area  on  the  Cape  Cod 
grounds  were  highly  significant  in  all  years  ex- 
cept 1975,  and  differences  due  to  tonnage  class 
were  highly  significant  for  all  years.  The  interac- 
tion was  highly  significant  in  only  35%  of  the 
years  (Table  4). 

Differences  in  CPUE  by  depth  zone  were  gener- 
ally not  significant.  Depth  main  effects  yielded 


Table  4. — Frequency  with  which  highly  significant  (P  <  0.01)  re- 
sults were  obtained  from  analysis  of  vanance  (ANOVA)  tests  of 
yellowtail  flounder  annual  CPUE  data.  (Total  number  of  years 
tested  =  20.)    N/A  =  Not  applicable  (tests  not  performed). 


Main  effects 

Area 

Tonnage  class 

Depth 

All  areas 

2020 

20/20 

N/A 

Among  stocks 

19  20 

N/A 

N'A 

Within  stocks 

Georges  Bank 

16  20 

20/20 

10  20 

So.  New  England 

1 9, 20 

20/20 

7/20 

Cape  Cod 

19/20 

20/20 

3/20 

Interactions 

Tonnage  class              Tonnage  class 

■  area 

■    depth 

All  areas 

20/20 

N/A 

Among  stocks 

20/20 

N/A 

Within  stocks 

Georges  Bank 

8/20 

4/20 

So.  New  England 

14/20 

2/20 

Cape  Cod 

7/20 

1/20 

100 


O'BRIEN  AND  MAYO:  CPUE  OF  YELLOWTAIL  FLOUNDER 


highly  significant  differences  in  only  50,  35,  and 
IdVc  of  the  years  for  Georges  Bank,  Southern  New 
England,  and  Cape  Cod  grounds,  respectively 
(Table  4),  while  the  tonnage  class-depth  interac- 
tion was  highly  significant  in  no  more  than  20% 
of  the  years  on  each  of  the  three  grounds. 

Interaction  between  tonnage  class  and  statis- 
tical area  throughout  the  region  was  highly  sig- 
nificant in  all  cases.  Further  analyses  yielded 
highly  significant  differences  in  CPUE  among  the 
three  stocks  and  highly  significant  tonnage  class- 
stock  interactions  which  suggests  that  relative 
fishing  power  among  vessel  classes  is  not  consis- 
tent from  stock  to  stock,  implying  a  need  for  com- 
puting a  separate  set  of  fishing  power  coefficients 
for  each  stock.  Within  each  stock,  differences  in 
CPUE  among  statistical  areas  and  tonnage 
classes  were  also  highly  significant  in  most  cases, 
although  the  tonnage  class-area  interaction  was 
not. 

Standardized  CPUE 

Annual  fishing  power  coefficients,  obtained  by 
retransforming  linear  model  parameter  esti- 
mates for  each  tonnage  class,  are  presented  in 
Table  5  by  stock.  Cursory  examination  of  the  coef- 
ficients reveals  distinct  trends  throughout  the  20- 
yr  series.  On  Georges  Bank  and  Southern  New 
England  grounds,  fishing  power  coefficients  for 
the  smaller  vessels  (TC  23-25)  relative  to  the 
standard  declined  over  time,  whereas  coefficients 
for  the  larger  vessels  increased  over  time.  On 
Cape  Cod  grounds  the  coefficients  increased  for 
the  smaller  vessels  (TC  23  and  24)  although 
trends  were  less  pronounced.  These  trends  are 
illustrated  graphically  by  plotting  annual  devia- 
tions from  the  20-yr  average  in  Figures  7-9.  A 
Durbin-Watson  test  for  first  order  autocorrela- 
tion of  the  annual  deviations  (Neter  and  Wasser- 
man  1974)  was  significant  for  most  tonnage 
classes  within  each  of  the  stocks,  suggesting  the 
presence  of  a  substantial  tonnage  class-time  in- 
teraction. 

The  three-way  linear  model,  modified  to  in- 
clude interaction  terms,  also  revealed  highly  sig- 
nificant tonnage  class-year  as  well  as  tonnage 
class-season  and  year-season  interactions  within 
each  of  the  three  stocks  (Table  6).  When  interac- 
tions are  significant,  they  can  be  examined  in 
detail  or  absorbed  in  the  error  term  when  testing 
for  main  effects.  Since  tonnage  class  effects  have 
already  been  examined  on  an  annual  basis,  the 
interaction  terms  were  excluded  from  the  three- 


way  model  used  to  obtain  parameter  estimates  for 
tonnage  class,  season,  and  year.  The  model  is 
specified  as  follows: 


f/  =  a  +  X  [Pi,  Xy  +  ^2j  X2j  +  Paj  Xsj]  + 


where     ^y,  P2/,  P3;  =  model  parameter  estimates 

in  logarithmic  units  for 
category  j  for  tonnage 
class,  season,  and  year, 


Xij ,  X2J,  X2,j 


dummy  variables  for  ton- 
nage class,  season,  and 
year  ( =  1  when  category  7 
occurs;  =  0  otherwise). 


ANOVA  results  obtained  without  interaction 
are  presented  in  Table  6  for  each  of  the  three 
stocks.  For  Georges  Bank  and  Southern  New 
England  stocks,  year  accounts  for  the  greatest 
reduction  in  error  sums  of  squares;  on  Cape  Cod 
grounds  tonnage  class  accounts  for  the  greatest 
overall  reduction. 

Coefficients  for  tonnage  class,  year,  and  season, 
derived  from  model  parameter  estimates  for  the 
combined  1964-83  period  are  presented  in 
Table  7.  Tonnage  class  coefficients  for  Georges 
Bank  and  Southern  New  England  are  relatively 
homogeneous,  as  compared  with  those  obtained 
for  Cape  Cod  grounds,  owing  to  the  narrower 
range  of  vessel  tonnage  classes  which  have  con- 
sistently exploited  these  fisheries.  Seasonal  coef- 
ficients exhibit  the  same  pattern  on  Georges 
Bank  and  Southern  New  England  with  the 
highest  catch  rates  occurring  during  the  third 
quarter;  on  Cape  Cod  grounds  the  highest  catch 
rates  occur  during  the  second  quarter.  Trends  in 
annual  coefficients  are  similar  on  all  three 
grounds.  Standardized  CPUE  indices  based  on 
the  annual  coefficients  are  illustrated  in  Figure 
10,  and  traditional  indices  based  on  the  methods 
of  Lux  (1964),  as  given  by  Clark  et  al.  (1984),  are 
also  presented  for  comparative  purposes. 

Although  each  series  indicates  similar  trends, 
CPUE  indices  obtained  from  the  linear  model  for 
Georges  Bank  and  Southern  New  England  have 
remained  slightly  higher  than  the  traditional  in- 
dices since  the  early  1970's.  Prior  to  this,  the  tra- 
ditional CPUE  indices  were  greater  than  the  re- 
vised indices.  On  Cape  Cod  grounds,  differences 
between  the  two  series  are  considerably  greater, 
particularly  in  the  early  years. 


101 


Georges  Bank 


1-l 

TC24 

0.5- 

• 

■ 

-0.5- 

• 

c    ■^^ 
o 

65  67  89    71   73   75 

77  79   81   83 

4-» 

-            ^1 

TC25 

>     0.5- 

• 

. 

£J        0- 

* 

,    ' 

—  -0.5- 

(0 

Zj       ■'  1      I      i      I      I      I      1 
J-                  65  87  89   71   73  75 

1     1     I     1 

77  79   81   83 

C 

< 

1- 

TC31 

0.5- 

. 

-0.5- 

*  ' 

1      1      1      1       1      I 
65  67  89   71   73  75 

1  1  1  1 
77  79   81  83 

Table  5. 


KIS51EKY  BULLETIN:  VOL  86,  NO    1 

-Annual  fishing  power  coeflicients  calculated  by  vessel  tonnage 

Georges  Bank,  Southern  New  England, 


Vessel  tonnage  class^ 

Year      21             22 

23        24 

25 

31        32 

33 

41 

42 

Georges  Bank 

1964 

073 

083 

0.97 

0.91 

0,90 

043 

1965 

068 

0.86 

1.02 

095 

1,40 

— 

1966 

0.45 

0.81 

0.99 

099 

097 

— 

1967 

— 

0.74 

0.93 

094 

0,89 

— 

1968 

1.09 

084 

098 

1  08 

088 

0,75 

1969 

0.99 

0.85 

0.93 

0.92 

0,95 

1.17 

1970 

1.21 

0.78 

0.94 

0.91 

094 

0.92 

1971 

0.66 

0.82 

1.07 

089 

1,12 

— 

1972 

— 

082 

0.94 

096 

0,93 

— 

1973 

not 

0.49 

0.94 

0.93     1.00 

1  09 

1,09 

1.14 

1974 

calculated 

— 

1  25 

096 

098 

097 

1.53 

1975 

1.00 

0.99 

0.85 

1.06 

1  04 

1  66 

1976 

0.73 

0.92 

0.96 

1.17 

1,01 

— 

1977 

— 

0.66 

0.94 

1.28 

1,67 

— 

1978 

— 

0.97 

0.87 

1,18 

1,54 

— 

1979 

0.55 

0.76 

1.02 

1.19 

1.35 

— 

1980 

0.42 

0.35 

1.10 

1.25 

1.43 

— 

1981 

0.45 

0.50 

0.80 

1.05 

1.16 

— 

1982 

0.23 

0.96 

0.82 

1.21 

1.41 

099 

1983 

— 

0.40 

1.25 

1  12 

1.26 

— 

Southern  New  England 

1964 

-        20.95 

—    0.97 

0.92 

0.88 

0.91 

0.81 

1965 

—          0.86 

—     0.95 

0.82 

0.93 

1  06 

0.39 

1966 

—          1.12 

—     1.14 

0.98 

1.02 

092 

1.18 

1967 

—          0.94 

—     1.27 

1.22 

1.00 

0.87 

068 

1968 

—          1.21 

—     1.23 

1.11 

0.94 

1,01 

098 

1969 

—          1.32 

—     1.11 

1.19 

0.99 

1.17 

0.82 

1970 

—          1.23 

—     1.04 

1.09 

085 

0.79 

0.74 

1971 

—          1.06 

—     1.10 

1  16 

0.99 

1.10 

082 

1972 

—          0.99 

—     088 

1.12 

1.01 

1,03 

0.66 

1973 

—          0.46 

—     1.01 

1.20 

1 .03     1 .00 

0,95 

1.24 

'Standard  vessel  class  on  Georges  Bank  and  Southern  New  England 
rounds  =  32.  Standard  vessel  class  on  Cape  Cod  grounds  =  25. 


1- 

TC33 

0.5- 

. 

0.5- 
-1- 

[     I     1     1     1     1     1     1     I     1 

0.5 
0 


66  67  69   71   73  75  77   79   81   83 


TO  41 


~~i     I     I     I     I     I — I — I — I — I 

65  67  69   71   73   75   77   79   81   83 


1 
0.5 


TC42 


~i     I     I     I — I — I — I — I — I — I 

66  67  69   71   73  75  77   79   81   83 


Figure  7. — Deviations  in  annual  fishing  power  from  the 
1964-83  20-yr  mean  for  major  vessel  tonnage  classes  fish- 
ing on  Georges  Bank. 


Year 


102 


O'BRIEN  AND  MAYO:  CPUE  OF  YELLOWTAIL  FLOUNDER 


class  relative  to  a  standard  class  vessel  fishing  for  yellowtail  flounder  on 
and  Cape  Cod  grounds,  1964-83. 


Vessel 

tonnage  class^ 

Year 

21 

22 

23 

24 

25 

31 

32 

33 

41   42 

Southern  New  England 

1974 

— 

0.67 

— 

1.11 

1  03 

1  00 

1.27 

0.62 

1975 

— 

072 

— 

0.73 

0.83 

085 

1.00 

1.11 

1976 

— 

0.66 

— 

0.40 

0.66 

086 

1.28 

1.56 

1977 

— 

087 

— 

0.79 

0.97 

088 

1.09 

0.99 

1978 

— 

1  33 

— 

0.56 

0.78 

0.75 

1.11 

1.38 

1979 

— 

069 

— 

0.54 

0.74 

079 

098 

1.24 

1980 

— 

082 

— 

0.68 

0.90 

0.95 

1.09 

1.07 

1981 

— 

0.92 

— 

0.55 

099 

1.06 

1.26 

0.86 

1982 

— 

0.64 

— 

0.62 

0.84 

0.86 

1.07 

1.07 

1983 

— 

0.68 

— 

092 

0.94 

0.89 

0.98 

1.04 

Cape  Cod 

1964 

— 

062 

0.52 

0.73 

1.08 

1.04 

— 

— 

1965 

— 

067 

0.55 

0.73 

1.65 

0.98 

0.96 

— 

1966 

044 

042 

048 

0.58 

1.42 

0.69 

— 

— 

1967 

— 

032 

0.36 

0.64 

1.30 

0.79 

1.07 

— 

1968 

— 

044 

0.37 

0.71 

1.55 

0.91 

0.99 

0.43 

1969 

— 

060 

048 

0.73 

1.31 

0.89 

— 

— 

1970 

— 

0.44 

0.45 

1.01 

1.56 

(3) 

(3) 

1.25 

1971 

— 

0.57 

0.93 

1.19 

1.10 

0.93 

1.20 

1.65 

1972 

0.93 

088 

063 

1  09 

1.09 

0.79 

0.97 

1.05 

1973 

0.51 

066 

053 

0.94 

1.00 

0.95 

0.96 

0.82 

1.43 

1974 

0.40 

0.55 

0.43 

0.76 

083 

0.87 

0.90 

0.66 

1975 

0.40 

059 

0.64 

0.74 

0.75 

085 

0.57 

0.62 

1976 

0  18 

068 

072 

088 

0.73 

0.80 

0.97 

1.12 

1977 

0.14 

042 

061 

0.74 

0.71 

0.70 

1.08 

1.26 

1978 

— 

040 

075 

0.90 

0.93 

0.73 

0.91 

2.84 

1979 

0.47 

043 

0.68 

0.87 

1.06 

0.83 

1.06 

1.48 

1980 

0  12 

027 

0.60 

0.80 

1.03 

095 

1  01 

1.53 

1981 

0.31 

0.34 

052 

0.75 

1.07 

0.54 

0.83 

1.34 

1982 

0.27 

035 

060 

088 

1.19 

0.77 

0.96 

1.17 

1983 

0.36 

0.79 

0.64 

1.02 

0.68 

0.80 

0.77 

0.43 

2Vessel  classes  21,  22,  and  23  combined  on  Southern  New  England 
grounds 
3|nsuf1icient  data  for  these  categories. 


Southern  New  England 


c 
o 


1- 

05- 

TC  21-22-23 

0 
0.5- 

-1- 

1 1 ; 1 \ 1 1 1 ^ 1 

0.5- 


0 
-0.5 


65  67  69   71   73  75  77  79   81   83 


TC31 


— I 1 1 1 1 1 \ 1       1       I 

65  67  69   71  73  75  77  79  81  83 


TC33 


<0 
D 
C 
C 
< 


Figure  8. — Deviations  in  annual  fishing  power  from  the 
1964-83  20-yr  mean  for  major  vessel  tonnage  classes  fish- 
ing on  Southern  New  England  grounds. 


1 

0.5  H 

0 


-0.5- 


-I — I — I — I — I — I — I — I      r 
65  67  69   71   73  75  77  79   81  83 


TC25 


— I 1 1 1 1 1 1      I      I      I 

65  67  69   71   73  75  77  79  81  83 


—I — 1 1 1 1 1 1 1 1      I 

66  07  69  71  73  76  77  79   81  83 


1- 

0.5- 

TC41 

0.5- 

-1- 

— 1 — 1 — 1 — 1 — 1 — 1 — 1 — 1 — 1 — 1 

65  67  69   71   73  75  77  79   81  83 


Year 


103 


FISHERY  BULLETIN   VOL  86.  NO   1 


Cape  Cod 


1- 

0  5 
0 


-0  5- 


TC23 


— I — I — I — I — 1 — I — I — I — I — I 

65  67  69   71   73   75   77   79   81   83 


1 

0.5 

0 

-0.5 

-1 


TC32 


—1 — I — I — I — I — I — I — I — I — I 

65  67  69   71   73  75  77   79   81   83 


Figure  9.— Deviations  in  annual  fishing  power  from  the 
1964-83  SO-yr  mean  for  major  vessel  tonnage  classes  fish- 
ing on  Cape  Cod  grounds. 


> 

Q 
<o 

C 
C 

< 


1 
0.5- 


0 
-0  5 


1-1 
0.5 
0 


-0.5- 
-1 


TO  24         ' 

0.5- 


—\ 1 1 1 1 1 1 1 1 1 

65  67  69   71   73   75   77   79   81   83 


0 
-0.5 

-1 


TO  31 


—\ — I — I — I — I — I — I — I — I — I 

65  67  69   71   73  75   77  79   81   83 


1 

0.5 

0 

-0.5 

-1 


Year 


TC33 


— I — I — I — I — I — I — I — I — I — I 

65  67  69   71   73   75   77   79   81   83 


•TC41 


— I \ 1 1 1 1 1 1 1       I 

65  67  69    71   73   75  77   79   81   83 


Georges  Bank 


I    '    I    '    I    '    I  ... 

64    66    68    70    72     74     76     78    80    82    84 

Year 


>• 

CD 

Q 

0} 

a 

w 

c 
,o 


Southern  New  England 


n    '    I    •—]    I    |— '    I    I    I — ■— I — I — I    1    I    I — I 
64    66    68    70    72     74     76     78    80    82    84 

Year 


4-1 


■D 
0) 

JO. 

(f) 

IT 

>~ 

CD 

Q 

a3 
Q. 

CO 

c 
,o 


Cape  Cod 


I   '   I   '    I   '   I   '   I   '   I 
64    66    68    70    72     74     76    78    80    82    84 

Year 


Traditional  CPUE  index 

Linear  Model  CPUE  Index 


Figure  10. — Trends  in  annual  yellowtail  flounder  CPUE  (metric  tons  per  day  fished)  calculated  with 
traditional  CPUE  based  on  Lux  (1964)  and  annual  coefficients  (linear  model  CPUE). 


104 


O'BRIEN  AND  MAYO;  CPUE  OF  YELLOWTAIL  FLOUNDER 


Table  6. — ANOVA  results  obtained  from  a  three-way  linear  model 
incorporating  year,  quarter,  and  tonnage  class  for  Georges  Bank, 
Southern  New  England,  and  Cape  Cod  stocks  of  yellowtail  floun- 
der. 


Table  7. — Tonnage  class,  quarter,  and  year  coefficients  derived 
from  a  three-way  linear  model  for  the  1964-83  period  for  yellowtail 
flounder  stocks  on  Georges  Bank,  Southern  New  England,  and 
Cape  Cod  grounds. 


Sum  of 

Mean 

F 

Georges 

Southern 

Source 

df 

squares 
Georges 

square 
Bank 

value 

P 

Tonnage 

Bank 

New  England 

Cape  Cod 

With  interaction 

class 

Model 

211 

1.432  92 

6.79 

29.53 

<0.01 

21 

0.92 

0.32 

Year 

19 

908.42 

47.81 

207.88 

<0.01 

22 

0.92 

0.50 

Qtr 

3 

107.36 

35.79 

155.59 

<0.01 

23 

0.92 

0.57 

TC 

9 

84.24 

9.36 

40.70 

<0.01 

24 

057 

0.93 

0.80 

Yr'Tc 

103 

116.81 

1.13 

4.93 

<0.01 

25 

0.80 

0.96 

1.00 

Yr*Qtr 

57 

202.29 

3.55 

15.43 

<0.01 

31 

0  96 

0.92 

1.03 

Qtr'Tc 

20 

13.80 

0.69 

3.00 

<0.01 

32 

1.00 

1.00 

0.84 

Error 

18,437 

4.171.68 

023 

33 

1.08 

1.09 

1.00 

Total 

18,648 

5.604.60 

030 

41 

1.13 

1.05 

1.24 

Without  inte 

iraction 
31 

1.100.02 

35.48 

147.83 

<0.01 

42 

1.19 

— 

— 

Model 

Quarter 

Year 

19 

908.42 

47.81 

199.21 

<'0.01 

Qtr 

3 

107.36 

35.79 

149.11 

<0.01 

1 

0.96 

1.00 

1.07 

TC 

9 

84.24 

936 

39.00 

<0.01 

2 

0.89 

1.06 

1.15 

Error 

18,617 

4.504.58 

0.24 

3 

4 

1.09 
1.00 

1.18 

1.00 

0.90 
1.00 

Total 

18,648 

5  604  60 

n  .^n 

Southern  New  England 

Year 

With  interaction 

1964 

1.00 

1.00 

1.00 

Model 

217 

2,85995 

13.18 

33.79 

<0.01 

1965 

0.73 

0.72 

0.84 

Year 

19 

2,085.95 

109.79 

281.50 

<0.01 

1966 

0.55 

0.54 

0.84 

Qtr 

3 

111.50 

37.17 

95.30 

<0.01 

1967 

0.54 

0.60 

0.81 

TC 

6 

59.80 

9.97 

25.56 

<0.01 

1968 

0.68 

0.79 

0.93 

Yr*Tc 

114 

257.12 

2.26 

5.78 

<0.01 

1969 

0.61 

0.77 

1.06 

Yr-Qtr 

57 

304.89 

535 

13.72 

<0.01 

1970 

0.58 

0.75 

1.00 

Qtr-Tc 

18 

40.69 

2.26 

5.80 

<0.01 

1971 

0.49 

0.63 

0.95 

Error 

26,879 

10.612.21 

0.39 

1972 

0.45 

0.65 

0.88 

Total 

27,096 

13,472.16 

0.50 

1973 
1974 

0.55 
0.42 

0.49 
0.45 

0.84 
0.77 

Without  interaction 

1975 

0.36 

0.30 

0.72 

Model 

28 

2.257.25 

80.62 

196.62 

<0.01 

1976 

0.37 

0.25 

0.76 

Year 

19 

2,085.95 

109.79 

267.77 

<0.01 

1977 

0.37 

0.36 

0.74 

Qtr 

3 

111.50 

37.17 

90.66 

<0.01 

1978 

0.34 

0.39 

0.83 

TC 

6 

59.80 

9.97 

24.31 

<0.01 

1979 

0.48 

0.52 

0.85 

Error 

27,068 

11.214.91 

0.41 

1980 

0.55 

0.56 

0.78 

Total 

27,096 

13.472,16 

0.50 

1981 

0.46 

0.54 

0.80 

Cape  Cod 

1982 
1983 

0.44 
0.40 

0.71 

0.70 

0.77 
0.78 

With  interaction 

Model 

247 

2.438.73 

987 

2468 

<:0.01 

Year 

19 

166.49 

8.76 

21.91 

<0.01 

Qtr 
TC 

3 

9 

174.44 
1,331.92 

58.15 
147.99 

145.37 
369.98 

<0.01 

<0.01 

DISCUSSION 

Yr'Tc 

135 

526.18 

3.90 

9.74 

<0.01 

Yr'Qtr 

57 

167.62 

2.94 

7.35 

<0.01 

The  analytical  approach  adopted 

in  this  paper 

Qtr'Tc 

24 

72.09 

3.00 

7.51 

<0.01 

is  based  on            _  _ 

the  hypothesis  that  CPUE  of  yellow- 

Error 

19,097 

7,731.24 

0.40 

tail  flounder  differs  among  the  various  tonnage 

Total 

19.344 

10.169.97 

0.53 

classes  of  vessels  and  ge   _     _ 

sographic  regions  associ- 

Without  interaction 
Model               31 

1,672.84 

53.96 

122  64 

<0.01 

ated  with  the  fishery.  In  all  of  the  analyses,  the 

Year 

19 

166.49 

876 

19.92 

<0.01 

null  hypothesis  (i.e.,  no 

1  significant  differences) 

Qtr 
TC 

3 
9 

174.44 
1,331.92 

58.15 
147.99 

132.15 
336.34 

<0.01 
<0.01 

was  rejected  only  when  the  probabil 

iity  of  obtain- 

Error 

19.313 

8.497.13 

0.44 

ing  a  greater  F  statistic 

was  <0.01. 

Even  at  this 

Total 

19.344 

10.169.97 

0.53 

probability 

level,  statistically  signi 

ficant  results 

were  often  obtained  when  difi'erences  among  vari- 
able levels  appeared  to  be  minimal  due  primarily 
to  the  large  number  of  observations  included  in 
most  analyses. 

The  initial  series  of  ANOVAs,  based  on  pooled 
CPUE  data  from  all  statistical  areas  encompass- 


105 


FISHEKY  BULLETIN;  VOL.  86,  NO.  1 


ing  the  three  stocks,  provided  sufficient  evidence 
to  reject  the  null  hypothesis.  In  each  of  the  20 
years  analyzed,  the  main  effects  of  tonnage  class 
and  statistical  area  represented  highly  signifi- 
cant (P  <  0.01)  sources  of  variation.  The  tonnage 
class-area  interaction  term  was  also  highly  sig- 
nificant in  all  cases,  implying  that  vessels  of  var- 
ious tonnage  classes  exhibit  different  CPUE 
trends  relative  to  each  other  in  different  areas. 

The  initial  results  established  the  basis  for  fur- 
ther investigations.  In  subsequent  analyses,  the 
data  were  grouped  to  test  the  null  hypothesis  that 
no  significant  differences  in  CPUE  existed  among 
the  three  traditionally  accepted  stock  definitions 
(Georges  Bank,  Southern  New  England,  and 
Cape  Cod).  The  highly  significant  differences  ob- 
tained in  19  out  of  20  years  indicate  that  catch 
rates  differ  among  the  three  stocks.  The  resulting 
highly  significant  tonnage  class-stock  area  inter- 
action term  obtained  from  the  ANOVAs  in  all 
years  suggests  that  standardization  of  CPUE 
among  tonnage  classes  should  be  performed  sepa- 
rately for  each  stock. 

Analysis  of  variance  within  each  stock  provided 
the  final  basis  for  performing  the  standardized 
CPUE  calculations.  In  these  tests,  the  rejection  of 
the  null  hypothesis  for  tonnage  class  main  effects 
in  all  years  for  each  stock  suggests  that  separate 
fishing  power  coefficients  must  be  calculated  for 
each  tonnage  class  even  though  the  coefficients 
are  similar  in  many  cases.  The  ANOVA  results 
also  indicated  that  differences  in  CPUE  among 
statistical  areas  within  each  stock  were  highly 
significant  in  SO^f  or  more  of  the  years  implying 
that,  within  each  stock  region,  yellowtail  abun- 
dance is  not  homogeneous.  This  is  not  surprising 
since  yellowtail  flounder  are  prevalent  only  on 
certain  grounds  within  each  geographic  region. 
Further  analyses  of  the  data  by  depth  indicated 
no  overall  significant  differences  in  CPUE  be- 
tween the  two  primary  depth  zones  (1-55  m  and 
56-110  m)  where  yellowtail  flounder  are  consis- 
tently caught. 

The  infrequent  number  of  significant  interac- 
tions on  Georges  Bank  and  Cape  Cod  grounds 
relative  to  Southern  New  England  (Table  4)  sug- 
gests a  greater  independence  of  the  tonnage  class 
and  area  main  effects  with  respect  to  CPUE,  i.e. 
both  large  and  small  vessels  exhibited  relatively 
similar  changes  in  mean  CPUE  among  statistical 
areas  within  each  stock.  In  choosing  data  sets  for 
computing  fishing  power  coefficients  we  sought  to 
minimize  the  amount  of  interaction  among  the 
vessel  tonnage  classes  and  geographic  areas  in- 


volved. This  criterion  was  met  to  a  greater  extent 
for  the  Cape  Cod  and  Georges  Bank  stocks  than 
for  the  Southern  New  England  stocks.  It  appears 
that  yellowtail  flounder  inhabiting  this  region 
are  subject  to  a  more  complex  set  of  interactions 
perhaps  due  to  temperature  and  bottom  type.  We 
decided,  however,  to  accept  the  results  for  each  of 
the  three  stocks  and  proceed  with  the  calculations 
of  fishing  power  coefficients. 

Annual  fishing  power  coefficients  computed  for 
each  vessel  tonnage  class  fishing  on  Georges 
Bank,  Southern  New  England,  and  Cape  Cod 
grounds  provided  a  basis  for  examining  the  con- 
sistency in  relative  fishing  power  of  individual 
tonnage  classes  over  time.  Annual  deviations  for 
Georges  Bank  and  Southern  New  England 
grounds  indicated  a  gradual  change  in  relative 
fishing  power  of  most  tonnage  classes  between 
1964  and  1983,  and  tests  for  autocorrelation  of 
residuals  indicated  significant  time  effects.  On 
these  grounds,  larger  vessels  exhibited  higher 
catch  rates  relative  to  the  standard  in  the  later 
years  as  compared  with  the  earlier  years.  Since 
many  of  the  larger  vessels  have  been  replaced  in 
recent  years  by  newer  vessels  which  are,  pre- 
sumably, equipped  with  more  sophisticated  elec- 
tronics, any  attempt  to  relate  CPUE  to  stock 
abundance  must  account  for  such  technological 
advances. 

Similarly,  changes  in  seasonal  availability  are 
often  great  enough  to  mask  interannual  variation 
in  stock  abundance.  Thus,  the  presence  of  signifi- 
cant tonnage  class-season  interactions  may  be  ex- 
plained by  the  ability  of  certain  vessel  classes  to 
effectively  target  seasonal  concentrations.  Since 
peak  spawning  of  yellowtail  flounder  occurs  dur- 
ing late  spring  (Lux  1964),  the  presence  of  high 
seasonal  coefficients  during  the  second  and  third 
quarters  is  not  surprising. 

By  specifying  the  model  to  include  tonnage 
class,  annual,  and  seasonal  components,  we  have 
attempted  to  account  for  technological  and  sea- 
sonal availability  factors  which  interact  with 
temporal  changes  in  abundance.  Although  other 
factors  could  be  incorporated  in  the  model  to  ac- 
count for  a  larger  portion  of  the  variation  in 
CPUE,  analyses  of  historical  commercial  fishing 
operations  of  this  type  are  often  limited  to  those 
attributes  which  can  be  directly  linked  to  land- 
ings records  (Kimura  1981;  Westrheim  and 
Foucher  1985).  An  alternate  approach  adopted  by 
Stern  and  Hennemuth  (1975)  involved  the  use  of 
a  study  fleet  of  selected  vessels  whose  characteris- 
tics and  fishing  practices  were  closely  monitored. 


106 


O'BRIEN  AND  MAYO  CPUE  OF  YELLOWTAIL  FLOUNDER 


In  our  study,  factors  were  selected  for  inclusion 
in  the  model  based  on  prior  knowledge  of  fleet 
characteristics  and  seasonal  and  spatial  distribu- 
tion patterns  of  the  species.  Despite  this,  the 
three  attributes  incorporated  in  the  final  model 
accounted  for  15-25%  of  the  total  variation  in 
CPUE,  depending  on  the  stock.  Undoubtedly, 
other  factors  such  as  experience  of  the  captain, 
net  design  and  rigging,  and  variation  in  local  fish 
abundance  contribute  substantially  to  overall 
variation  in  catch  rates. 

Differences  between  the  annual  CPUE  esti- 
mates based  on  Lux's  original  fishing  power  coef- 
ficients and  the  recalculated  indices  occur  in 
many  cases  because  of  shifts  in  the  vessel  compo- 
sition of  the  fleet  over  the  past  20  years.  The  in- 
clusion of  larger  vessels  in  the  more  recent  years, 
particularly  on  Georges  Bank  and  Southern  New 
England  grounds,  may  account  for  the  consis- 
tently higher  CPUE  estimates  obtained  for  these 
areas  since  the  mid-1970's.  On  Cape  Cod  grounds, 
CPUE  estimates  differ  substantially  prior  to  this 
time.  Lux  (1964)  has  stated  that  a  relatively  low 
proportion  of  the  landings  from  this  area  were 
used  in  his  CPUE  computations  and,  conse- 
quently, the  indices  were  not  considered  to  be  as 
valid  a  measure  of  relative  abundance  as  those 
obtained  for  Georges  Bank  and  Southern  New 
England.  Our  analyses  for  Cape  Cod  grounds, 
based  on  data  for  the  period  since  1964,  are  sub- 
ject to  the  same  concerns  since  a  large  proportion 
of  the  yellowtail  flounder  landings  continues  to  be 
taken  incidentally. 

Although  the  revised  standardized  CPUE  esti- 
mates presented  in  this  paper  are  based  on  a  dif- 
ferent standardization  technique,  trends  are  gen- 
erally similar  to  those  obtained  previously.  The 
revised  procedure,  however,  accounts  for  seasonal 
and  technological  influences  and  insures  com- 
plete representation  of  all  vessel  classes  engaged 
in  the  yellowtail  fishery. 

ACKNOWLEDGMENTS 

We  wish  to  sincerely  thank  Stephen  H.  Clark 
for  his  advice  throughout  this  study,  and  for  crit- 
ically reviewing  the  manuscript.  Michael  J.  Fo- 
garty  reviewed  the  final  draft  and  advised  on 
statistical  procedures.  We  are  also  grateful  for  the 
suggestions  provided  by  two  anonymous  referees. 

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Beverton,  R  J  H  .  AND  S  J  Holt 

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Bradu, D. andY  Mundlak 

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1984.     Yellowtail    flounder    assessment    update    -    1984. 

U.S.  Dep.  Commer.,  NMFS,  NEFC,  Woods  Hole  Lab.  Ref. 

Doc.  No.  84-39,  30  p, 
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1981.  BMDP  statistical  software,  Univ.  Calif.  Press, 
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Garrod.  D  J 

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Gavaris.  S 

1980.  Use  of  a  multiplicative  model  to  estimate  catch  rate 
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Gulland.  J  A 

1956.  On  the  fishing  effort  in  English  demersal  fish- 
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1964.     Catch  per  unit  effort  as  a  measure  of  abundance. 
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1981.  Standardized  measures  of  relative  abundance  based 
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Lux.  F  E 

1963.  Identification  of  New  England  yellowtail  flounder 
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1964.  Landings,  fishing  effort,  and  apparent  abundance 
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NETER.  J  .  AND  W  WaSSERMAN 

1974.  Applied  Linear  Statistical  Models.  Richard  W. 
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Pope.  J  A .  and  B  B  Parrish 

1964.  The  importance  of  fishing  power  studies  in  abun- 
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Pope,  J  G .  and  D  J  Garrod 

1975.  Sources  of  error  in  catch  and  effort  regulations  with 
particular  reference  to  variations  in  the  catchability  coef- 
ficient. Int.  Comm.  Northwest  Atl.  Fish.  Res.  Bull.  11, 
p.  17-30. 

Robson,  D  S. 

1966.  Estimation  of  the  relative  fishing  power  of  individ- 
ual ships.  Int.  Comm.  Northwest  Atl.  Fish.  Res.  Bull.  3, 
p.  5-14. 

Rounsefell.  G  a 

1957.  A  method  of  estimating  abundance  of  groundfish  on 
Georges  Bank.     Fish.  Bull.,  U.S.  113:264-278. 

RoYCE,  W.  F.,  R  J  Buller,  E.  D.  Premetz 

1959.     Decline  of  the  yellowtail  flounder  (Limanda  fer- 

ruginea)  off  New  England.     Fish.  Bull.,  U.S.  59:169- 

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107 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 

SissENWiNE.  M  P  Stern.  H  ,  ,Jk  ,  and  R  C  Hknnemuth 

1974.     Variability  in  recruitment  and  equilibrium  catch  of  1975.     A  two-way  model  for  estimating  standardized  fish- 

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108 


REDUCING  THE  BYCATCH  IN  A  COMMERCIAL  TROTLINE  FISHERY 

Lawrence  W  McEachron,'  Jeff  F  Doerzbacher,-  Gary  C  Matlock,^ 
Albert  W.  Green,^  and  Gary  E,  Saul- 

ABSTRACT 

Reducing  the  bycatch  of  red  drum,  Sciaenops  ocellatus,  and  spotted  seatrout,  Cynoscion  nebulosus,  in 
the  Texas  commercial  trotline  fishery  is  desirable.  Hook  placement  within  the  water  column  was 
examined  as  a  means  of  accomplishing  this  objective.  The  commercial  trotline  fishery  was  simulated 
in  the  Laguna  Madre  during  February  1985  through  January  1986.  Requiring  placement  of  trotline 
hooks  on  bottom  will  reduce  bycatch  of  red  drum,  spotted  seatrout,  and  other  nonmarketable  fishes 
and  improve  operational  efficiency  of  commercial  fishermen  without  significantly  reducing  catch  of 
black  drum,  Pogonias  cromis,  a  target  commercial  species.  Other  than  crab  and  shrimp  being  more 
effective  baits  than  oleander  leaves,  no  other  generalization  could  be  made  concerning  baits  and 
seasons. 


Longlines  catch  species  unwanted  or  legally  non- 
retainable  by  fishermen  and  have  been  regulated 
to  reduce  the  bycatch  of  nontargeted  species 
(South  Atlantic  Fishery  Management  Council 
1985).  Trotlines  (Figs.  1,  2)  are  a  specialized  long- 
line  used  in  shallow  (<4  m)  Texas  estuaries  to 
catch  fish  (Simmons  and  Breuer  1962;  Breuer 
1973,  1974,  1975;  Matlock  1980).  Red  drum, 
Sciaenops  ocellatus,  and  spotted  seatrout, 
Cynoscion  nebulosus,  were  the  primary  targets 
until  1981  when  their  sale  was  prohibited  be- 
cause of  overfishing  (Matlock  et  al.  1979;  Anony- 
mous 1979,  1981,  1983).  The  effort  has  since  been 
redirected  toward  black  drum,  Pogonias  cromis. 
Regulations  requiring  the  use  of  circle  hooks  and 
placement  of  the  mainline  under  water  were  en- 
acted to  reduce  the  bycatch  of  red  drum  and  spot- 
ted seatrout.  However,  a  bycatch  still  occurs.  This 
study  was  conducted  to  determine  if  the  bycatch 
could  be  further  reduced  by  additional  regulation 
of  where  in  the  water  column  hooks  are  fished  and 
bait  types. 

MATERIALS  AND  METHODS 

The  catch  on  trotlines  with  hooks  placed  on  the 
bottom  or  in  the  top  of  the  water  column  was 
compared  by  simulating  commercial  fishing  tech- 
niques in  the  Laguna  Madre,  TX  (Fig.  3).  Bottom 
trotlines  were  set  with  the  mainline  on  the  bot- 
tom. Top  trotlines  had  the  mainline  floated  with 


iTexas  Parks  and  Wildlife  Department,  P.O.  Box  1717,  Rock- 
port,  TX  78382. 

2Texas  Parks  and  Wildlife  Department,  4200  Smith  School 
Road,  Austin,  TX  78744. 


the  hooks  suspended  in  water  >0.6  m  deep  to 
insure  hooks  fished  in  the  water  column.  Texas 
Parks  and  Wildlife  Department  (TPWD)  trotlines 
were  set  in  the  same  area  as  commercial  trotlines. 
Commercial  fishermen  were  contacted  by  tele- 
phone within  24  hours  prior  to  TPWD  sets  to  de- 
termine areas  of  commercial  activity.  All  TPWD 
trotlines  were  at  least  15  m  apart. 

Trotlines  with  100  hooks  each  were  built  ac- 
cording to  commercial  fishermen  specifications 
(McEachron  et  al.  1985).  The  mainline  (182.9  m 
long)  consisted  of  #36  nylon  twine,  knotted  twice 
every  1.8  m  for  swivel  (1/0  black  brass  barrel) 
placement  (Figs.  1,  2).  Hooks  (#8  Mustad 
39960ST)  were  attached  by  a  610-686  mm  long 
staging  (56.7  kg  test  monofiliament)  to  the  swivel 
at  1.8  m  intervals.  Stakes  (51  cm  x  76  mm)  and/or 
anchors  were  placed  on  each  end  to  stretch  the 
mainline.  Floats  (3.8  L)  were  attached  to  the 
mainline  every  15  hooks  for  navigation  identifi- 
cation. 

Eighteen  trotlines  were  set  overnight  each 
month  in  both  the  upper  and  lower  Laguna  Madre 
during  1  February  1985  through  31  January 
1986.  Six  (3  top;  3  bottom)  were  set  during  each  of 
two  monthly  sampling  periods  (first  and  last  15 
days  of  the  month).  Another  six  sets  were  made  in 
either  the  first  or  last  half  of  each  month;  the 
period  was  randomly  selected  each  month.  Each 
trotline  was  baited  completely  with  one  of  three 
bait  types — cut  portions  of  blue  crab,  Callinectes 
sapidus;  dead  shrimp,  Penaeus  sp.;  or  oleander, 
Nerium  sp.  leaves — so  that  all  bait  types  were 
used  on  both  top  and  bottom  trotlines  during 
every  period.  These  baits  represented  the  most 


Manuscript  accepted  October  1987. 
FISHERY  BULLETIN;  VOL.  86.  NO   1,  1987. 


109 


<5-* 


5.1  cm     X    7.6  cm 
WOODEN  STAKES 


Figure  1.— Top  trotline. 


1  cm     X    7.6  cm 
WOODEN  STAKES 


Figure  2. — Bottom  trotline. 


commonly  used  baits  by  commercial  trotline  fish- 
ermen (McEachron  et  al.  1980,  1986). 

Fishes  caught  were  identified  (Hoese  and 
Moore  1977;  Robins  et  al.  1980),  counted  (Table 
1),  and  total  length  (TL)  was  measured  to  the 
nearest  1  mm.  Data  were  pooled  into  fall  (Septem- 
ber-November), winter  (December-February), 
spring  (March-May),  and  summer  (June-Au- 
gust) to  examine  seasonal  variation. 

A  catch  rate  (No. /line  •  h)  for  black  drum;  red 
drum;  spotted  seatrout;  hardhead  catfish  Arius 
felis ;  and  total  fishes  was  computed  for  each  trot- 
line set  by  dividing  the  number  caught  by  the 
number  of  hours  fished.  Catch  rates  were  trans- 
formed to  log  (catch  rate  +  1)  and  analyzed  using 
a  four-factor  fixed-effects  model  analysis  of  vari- 
ance (AOV).  The  four  factors  were  1)  hook  place- 


ment, at  two  levels — top  and  bottom;  2)  bait,  at 
three  levels — crab,  shimp,  and  leaves;  3)  bay,  at 
two  levels — upper  Laguna  Madre  and  lower  La- 
guna  Madre;  4)  season,  at  four  levels — fall,  win- 
ter, spring,  and  summer. 

Diff'erences  in  main  effect  means  were  evalu- 
ated with  Ducan's  multiple  range  test.  However, 
when  significant  first-order  interactions  were 
found,  comparisons  were  made  within  levels  of 
the  interacting  factors  using  the  mean  square 
error  (MSE)  from  the  AOV. 

Total  lengths  of  each  species  were  analyzed  in 
a  nested  AOV  to  investigate  differences  among 
the  four  factors.  However,  because  fish  were  not 
caught  in  all  factor  level  combinations,  factors 
and/or  factor  levels  for  each  species  were  elimi- 
nated from  analyses.  Spotted  seatrout  lengths 


110 


McEACHRON  ET.  AL:  BYCATCH  IN  TROTLINE  FISHERY 


Figure  3.— Texas  coast. 


Table  1  —Number  of  fishes  caught  on  trotlines  in  the  upper  and 
lower  Laguna  Madre  during  February  1985-January  1986. 


Upper 

Lower 

Laguna 

Laguna 

Species 

Madre 

Madre 

Total 

Arlus  felis 

977 

1,652 

2,629 

Sciaenops  ocellatus 

352 

658 

1,010 

Pogonias  cromis 

67 

265 

332 

Cynoscion  nebulosus 

29 

103 

132 

Micropogonias  undulatus 

36 

51 

87 

Opsanus  beta 

34 

1 

35 

Archosargus  probatocephalus 

1 

24 

25 

Dasyatis  americana 

0 

17 

17 

Dasyatis  sabina 

6 

7 

13 

Elops  saurus 

4 

4 

8 

Orthopristis  chrysoptera 

1 

7 

8 

Bagre  marinus 

1 

4 

5 

Lagodon  rhomboides 

0 

5 

5 

Paralichthys  lethostigma 

1 

3 

4 

Rhinoptera  bonasus 

0 

4 

4 

Chilomycterus  schoepfi 

0 

3 

3 

Ophichthus  gomesi 

3 

0 

3 

Cynoscion  arenanus 

0 

2 

2 

Negapnon  brevirostris 

0 

1 

1 

Trachinotus  carolinus 

0 

1 

1 

All  species 

1.512 

2,812 

4,324 

were  pooled  for  both  bay  systems  because  an  in- 
sufficient number  of  spotted  seatrout  were  caught 
for  individual  bay  analyses.  Factor  levels  elimi- 
nated from  length  analyses  were  leaves  and  win- 
ter from  hardhead  catfish,  leaves  and  crab  from 
spotted  seatrout,  and  fall,  spring,  and  summer 
from  black  drum.  Spring  and  winter  red  drum 
lengths  were  pooled.  Lower  Laguna  Madre  data 
only  were  used  for  red  drum,  black  drum,  and 
hardhead  catfish  length  analyses.  Each  measured 
fish  length  was  an  observational  unit  of  a  trotline 
set.  Sets  were  a  random  factor  nested  within  fixed 
main  effect  combinations.  The  nested  set  effect 
mean  square  was  used  for  testing  other  effects 
when  the  set  effect  was  significant.  However,  the 
AOV  yields  approximate  F  values  because  un- 
equal numbers  of  fish  were  caught  among  sets. 

SAS  procedures  (SAS  Institute,  Inc.  1980, 1982) 
were  used  for  all  analyses.  The  significance  level 
for  each  AOV  test  was  a  =  0.01  because  the  AOV 
used  to  examine  catch  rates  of  each  species  had  15 
potential  F  tests.  This  alpha  value  assured  that 


111 


KKSHEKY  BULLETIN:  VOL.  86,  NO.  1 


the  family  level  of  significance  would  not  exceed 
0.15.  All  other  tests  were  made  with  a  signifi- 
cance level  of  u  =  0.05.  Mean  catch  rates  and  con- 
fidence intervals  computed  from  transformed 
data  were  back-transformed  for  tabular  and 
graphic  presentation  (Elliott  1979). 

RESULTS 

Fishing  trotlines  on  the  bottom  reduces  bycatch 
without  affecting  catches  of  black  drum,  the 
target  species.  A  significant  difference  could  not 
be  detected  between  black  drum  catch  rates  on 
top  and  bottom  trotlines  regardless  of  bait,  sea- 
son, or  bay  (Tables  2,  3).  Catch  rates  for  hardhead 
catfish,  red  drum,  spotted  seatrout  and  total 
fishes  were  significantly  lower  on  bottom  trot- 
lines than  on  top  trotlines  (Tables  2,  3).  Differ- 
ences in  catch  rates  between  top  and  bottom  trot- 
lines for  hardhead  catfish,  red  drum,  and  total 
fishes  did  not  vary  significantly  among  seasons 
and  baits  but  did  vary  between  bays  based  on  the 
first-order  interactions  (Tables  4,  5).  A  significant 
second-order  interaction  of  position  x  bay  x  bait 
for  spotted  seatrout  revealed  that  differences  be- 
tween top  and  bottom  trotlines  were  affected  by 
both  bait  and  bay  but  not  by  season  (Fig.  4). 

No  significant  difference  was  found  in  red  drum 
catch  rates  among  baits  nor  in  spotted  seatrout 
catch  rates  among  seasons  (Tables  2,  3).  All  other 
main  effects  were  significant  for  catch  rates  of  all 
species  and  total  fishes.  Of  the  possible  first-order 
interactions  involving  bait,  season,  and  bay,  only 
season  x  bait  for  hardhead  catfish,  red  drum,  and 
total  fishes,  bait  x  bay  for  black  drum  and  total 
fishes,  and  season  x  bay  for  black  drum,  hard- 
head catfish,  and  total  fishes  were  significant  (Ta- 
bles 4,  5).  The  second-order  interaction  of 
bait  X  bay  x  season  for  total  fishes  was  signifi- 
cant (Fig.  5). 

No  significant  differences  were  found  in  mean 
lengths  of  black  drum,  hardhead  catfish,  red 
drum,  and  spotted  seatrout  between  top  and  bot- 
tom trotlines  (Tables  6-8).  Significant  differences 
in  mean  length  of  hardhead  catfish  were  detected 
for  main  effects  of  bait  and  season  (Table  7). 

DISCUSSION 

Management  objectives  could  be  better  met  by 
requiring  placement  of  trotline  hooks  on  bottom 
than  by  allowing  hooks  to  be  fished  from  the  sur- 
face. Red  drum  and  spotted  seatrout  mortality 
would  be  reduced  without  significantly  affecting 


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— I — 

ULM 


FISHERY  BULLETIN;  VOL.  86,  NO.  1 


SHRIMP 


TOP 


CRAB 


LEAVES 


TOP 


TOP 


BOTTOM 


BOTTOM 


— I 

LLM 


— I 

ULM 


— I 

LLM 


— I 

ULM 


— I 

LLM 


BAY  SYSTEM 


Figure  4.— Significant  second-order  interaction  among  positions,  baits,  and  bay  system  for  spotted 
seatrout  catch  rates.  LLM  =  lower  Laguna  Madre,  ULM  =  upper  Laguna  Madre. 


Figure  5. — Significant  second-order  interac- 
tion among  bait  types,  bay  system,  and  sea- 
sons for  total  fishes  catch  rates.  LLM  =  lower 
Laguna  Madre,  ULM  =  upper  Laguna 
Madre. 


-   1.5 

\ 

•   1.2 

E 

I       0.9 


< 
K 

I 
O 

I- 
< 

u 


uj   0.6  • 
0.3 
0.0  ,. 
l.B 
1.5  ■ 
1.2 
0.9 
0.6 
0.3 
0.0- 
FALL 


CRAB 


SHRIMP 


LLM 


ULM 


LEAVES 


LLM 


ULM 


I  I 

WINTER  SPRINS 

SEASON 


SUMMER 


114 


McEACHRON  ET.  AL:  BYCATCH  IN  TROTLINE  FISHERY 


Table  6. — Mean  length  (mm  t  1SE)  of  black  drum,  hardhead  catfish,  red  drum,  and  spotted 
seatrout  caught  on  top  and  bottom  trotlines  by  bait,  bay  and  season  during  February  1985- 
January  1986  Number  in  parentheses  is  number  of  fish  measured. 


Position 

Bait 

Species 

Top 

Bottom 

Crab 

Shrimp 

Leaves 

Black  drum 

539  ±  10 

550  ±  13 

566  ±  1 1 

493  ±  12 

588  i  21 

(177) 

(146) 

(172) 

(108) 

(43) 

Hardhead  catfish 

338  ±  1 

343  ±  2 

346  ±  1 

328  ±  2 

337  ±  3 

(1.363) 

(675) 

(1,201) 

(651) 

(186) 

Red  drum 

521  ±  4 

504  ±9 

540  ±  6 

481  ±6 

542  ±  7 

(657) 

(173) 

(260) 

(336) 

(234) 

Spotted  seatrout 

439  ±  9 

420  i  24 

471  ±  23 

426  ±  10 

445  ±  19 

(111) 

(18) 

(17) 

(86) 

(26) 

Bay 

Season 

Upper 

Lower 

Laguna 

Laguna 

Species 

fvladre 

(vladre 

Fall 

Winter 

Spnng 

Summer 

Black  drum 

484  ±  19 

560  ±8 

464  ±  20 

538  ±8 

630  ±  21 

416  ±  19 

(67) 

(256) 

(35) 

(201) 

(71) 

(16) 

Hardhead  catfish 

327  ±  1 

348  ±  1 

329  ±2 

368  ±2 

333  ±2 

345  ±2 

(824) 

(1,214) 

(538) 

(277) 

(724) 

(499) 

Red  drum 

506  ±  7 

523  ±  5 

493  ±  1 1 

506  ±  5 

546  ±9 

551  ±  10 

(308) 

(522) 

(133) 

(427) 

(114) 

(146) 

Spotted  seatrout 

411  ±  15 

443  ±  10 

410  ±21 

404  ±  1 2 

482  ±  25 

478  ±  13 

(29) 

(100) 

(25) 

(51) 

(16) 

(37) 

Table  7. — Summary  of  results  of  the  AOV  s  of  mean  length  for  black  drum  (winter  season  only),  hardhead  catfish  (excludes  leaves  and 
winter  season),  and  red  drum  (winter  and  spring  seasons  combined)  on  top  and  bottom  trotlines  in  lower  Laguna  Madre  during  February 
1985-January  1986.     NA  =  not  analyzed. 


Black  drum 

Hardhead  catfish 

Red  drum 

Source  of 

Sum  of 

Sum  of 

Sum  of 

variation 

df 

squares 

F 

PR  >  F 

df 

squares 

F 

PR>F 

df 

squares 

F 

PR>F 

Total 

176 

1,941,401 

1,050 

2,310,898 

521 

6,484,793 

Position 

1 

5,978 

0.15 

0.70 

1 

80 

0.02 

0.90 

1 

6,122 

0.26 

0.61 

Bait 

2 

15,082 

0.19 

083 

1 

33,650 

6.60 

0.01 

2 

89,151 

1.90 

0.15 

Season 

NA 

3 

89,202 

5.83 

<0.01 

2 

133,190 

2.85 

0.06 

Position  X  bait 

2 

49,063 

0.69 

0.55 

1 

8,242 

1.62 

0.21 

2 

10,913 

0.23 

0.79 

Season  ^  position 

NA 

3 

1,517 

0.10 

0.96 

2 

789 

0.02 

0.98 

Season  x  bait 

NA 

3 

6,132 

0.40 

0.75 

4 

68,535 

0.73 

0.57 

Season  ';  position  x  bait 

NA 

3 

10,269 

0.67 

0.57 

4 

63,388 

0.68 

0.61 

Set  (position  x  bait) 

27 

10,906,616 

8.26 

-O.OI 

NA 

NA 

Set  (season  '-  position 

■  bait) 

NA 

89 

453,750 

3.22 

<0.01 

91 

2,129,491 

2.61 

<0.01 

Error 

144 

704,611 

946 

1,499,474 

413 

3,706,235 

Table  8. — Summary  of  results  of  the  AOV  of  mean  length  for  spot- 
ted seatrout  (shnmp  bait  only)  on  top  and  bottom  trotlines  in  upper 
and  lower  Laguna  Madre  combined  dunng  February  1985- 
January  1986. 


Source  of 
variation 


df 


Sum  of 
squares 


PR>F 


Total 


85 


750,362 


Position 

1 

601 

0.04 

0.84 

Season 

3 

58,796 

1.32 

0.29 

Position  X  season 

3 

58,462 

1.31 

0.29 

Set  (position  ^  season) 

28 

416,855 

3.42 

<0.01 

Error 

50 

217,744 

115 


FISHERY  BULLETIN:  VOL  86,  NO    1 


black  drum  catches.  Operational  efficiency  of 
commercial  fishermen  should  improve  with  less 
handling  of  nontarget  species.  Mortality  of  non- 
target  fishes  would  decrease  because  they  would 
not  be  caught  and  subsequently  handled.  For  red 
drum  and  spotted  seatrout  that  are  caught,  sur- 
vival would  be  high  for  those  released  back  into 
the  water.  Survival  of  released  red  drum  caught 
on  trotlines  in  winter  and  summer  and  of  spotted 
seatrout  in  winter  was  100^^  (Martin  et  al.  1987). 
About  509^  of  the  spotted  seatrout  died  in  summer 
cage  studies;  but  few  commercial  trotlines  are 
fished  during  this  period  (TPWD  unpubl.  data). 
Thus,  the  goal  of  reducing  the  catch  of  nontarget 
species  and  reducing  mortality  due  to  trotlines 
can  be  achieved  with  minimal  impact  on  the  com- 
mercial fishermen. 

Interactions  between  bay  system  and  the  other 
three  factors  for  some  species  probably  reflect  dif- 
ferences in  relative  abundance.  Fewer  fish  were 
available  to  be  caught  in  upper  Laguna  Madre 
than  in  lower  Laguna  Madre  (Crowe  et  al.  1986). 
The  effects  of  bait  and  season  on  trotline  catches 
cannot  be  determined  in  bay  systems  where  the 
fish  abundance  approaches  zero. 

No  spotted  seatrout  were  caught  on  crab  bait  on 
bottom  in  either  bay;  but  they  were  caught  on  all 
baits  on  top  in  the  lower  Laguna  Madre  leading  to 
the  significant  second-order  interaction  of  posi- 
tion X  bay  X  bait.  This  condition  was  not  unex- 
pected because  spotted  seatrout  are  predomi- 
nately sight  feeders  (Vetter  1977),  and  might  not 
take  baits  on  bottom  as  readily  as  baits  suspended 
in  the  water  column. 

Crab  and  shrimp  were  more  effective  baits  than 
oleander  leaves  for  all  four  species.  No  other  gen- 
eralizations could  be  made  concerning  baits  and 
seasons.  Selection  of  crab  or  shrimp  as  the  bait  of 
choice  for  reducing  bycatch  while  maximizing 
black  drum  catch  is  unclear  because  catch  rates 
for  black  drum  and  red  drum  were  greater  on  crab 
than  shrimp,  especially  in  winter. 

ACKNOWLEDGMENTS 

We  would  like  to  thank  all  Laguna  Madre  field 
personnel  who  diligently  collected  the  samples. 
Tom  Heffernan,  Ed  Hegen,  Lynn  Benefield, 
Maury  Ferguson,  and  Tony  Maciorowski  re- 
viewed the  manuscript. 

LITERATURE  CITED 

Anonymous 

1979.     Saltwater  finfish  research  and  management  in 


Texas.  A  report  to  the  Governor  and  the  66th 
Legislature.  Tex.  Parks  Wildl.  Dep.,  Coastal  Fish. 
Branch,  PWD  Rep.  No.  .3000-59,  21  p. 

1981.  Saltwater  finfish  research  and  management  in 
Texas.  A  report  to  the  Governor  and  the  67th 
LegLslature.  Tex.  Parks  Wildl.  Dep.,  Coastal  Fi.sh. 
Branch,  PWD  Rep.  No.  ;J000-10K,  ,31  p. 

1983.     Saltwater  finfish  research  and  management  in 
Texas.     A    report    to    the    Governor    and    the    68th 
Legislature.     Tex.    Parks   Wildl.    Dep.,   Coastal    Fish. 
Branch,  PWD  Rep.  No.  3000-154,  48  p. 
Breuer,  J  P 

1973.  A  survey  of  the  juvenile  and  adult  food  and  game 
fish  of  the  Laguna  Madre.  Tex.  Parks  Wildl.  Dep., 
Coastal  Fish.  Branch,  Proj.  Rep.  173-202. 

1974.  Juvenile  and  adult  food  and  game  fish  of  the 
Laguna  Madre.  Tex.  Parks  Wildl.  Dep.,  Coastal  Fish. 
Branch,  Proj.  Rep.  109-130. 

1975.  Biological  studies  in  the  lower  Laguna  Madre  of 
Texas,  1975.  Tex.  Parks  Wildl.  Dep.,  Coastal  Fish. 
Branch,  Proj.  Rep.  158-196. 

Crowe,  A  L ,  L  W  McEachron,  and  P  C  Hammerschmidt. 

1986.  Trends  in  relative  abundance  and  size  of  selected 
finfish  in  Texas  bays:  November  1975-December 
1985.  Tex.  Parks  Wildl.  Dep.,  Coastal  Fish.  Branch, 
Manage.  Data  Ser.  No.  114,  259  p. 

Elliott.  J.  M 

1979.  Some  methods  for  the  statistical  analysis  of 
samples  of  benthic  invertebrates.  Freshwater  Biol. 
Assoc,  Sci.  Publ.  No.  25,  160  p. 

HoESE.  H  D ,  AND  R.  H  Moore 

1977.     Fishes  of  the  Gulf  of  Mexico,  Texas,  Louisiana,  and 

adjacent   waters.     Texas   A&M   Univ.    Press,   College 

Station,  327  p. 
Martin.  J  H  ,  K  W  Rice,  and  L  W  McEachron 

1987.  Survival  of  three  fishes  caught  on  trotlines.  Tex. 
Parks  Wildl.  Dep.,  Coastal  Fish.  Branch,  Manage.  Data 
Ser.  No.  Ill,  21  p. 

Matlock,  G.  C 

1980.  History  and  management  of  the  red  drum  fishery. 
In  Proceedings  Colloquium  on  red  drum  and  sea- 
trout, p.  37-54.  Gulf  States  Mar.  Fish.  Comm.  No. 
5. 

Matlock,  G  C  ,  P  L  Johansen,  and  J  P  Breuer 

1979.  Management  of  red  drum  in  a  Texas  estuary  -  a 
case  study.  Proc.  Annu.  Conf  Southeastern  Assoc. 
Fish  Wildl.  Agencies  33:442-450. 

McEachron,  L  W  ,  A  W  Green,  G.  C  Matlock,  and  G  E.  Saul. 

1985.  A  comparison  of  trotline  catches  on  two  hook  types 
in  the  Laguna  Madre.  Tex.  Parks  Wildl.  Dep.,  Coastal 
Fish.  Branch,  Manage.  Data  Ser.  No.  86,  44  p. 

1986.  Evaluation  of  the  commercial  trotline  fishery  in 
the  Laguna  Madre  during  fall  1984.  Tex.  Parks  Wildl. 
Dep.,  Coastal  Fish.  Branch,  Manage.  Data  Ser.  No.  93, 
25  p. 

McEachron.  L  W  .  G  C  Matlock.  A  R  Martinez,  and  J  P. 
Breuer 

1980.  Evaluation  of  natural,  leaf,  vegetable,  worm  and 
cork  baits  used  on  trotlines  in  upper  and  lower  Laguna 
Madre,  Texas  (September  1977-October  1978).  Tex. 
Parks  Wildl.  Dep.,  Coastal  Fish.  Branch,  Manage.  Data 
Ser.  No.  8,  68  p. 

Robins,  C  R  ,  R  M  Bailey,  C  E  Bond.  J  R  Brooker,  E  A 
Lachner,  R  N  Lea,  and  W.  B  Scott. 

1980.  A  list  of  common  and  scientific  names  of  fishes 
from  the  United  States  and  Canada.     (4th  ed. )  Am. 


116 


McEACHRON  ET  AL:  BYC'AIVH  IN  TROTLINE  FISHERY 

Fish.  Soc.  Spec.  Pub.  No.  12,  174  p.  SOUTH  ATLANTIC  FISHERY  MANAGEMENT  COUNCIL. 

SAS  Institute.  iNC  1985.    Source    document    for    the    swordfish    fishery 

1980.     SAS    supplemental    library    user's    fjuide.     SAS  management  plan.     South  Atl.  Fish.  Manage.  Counc, 

Institute  Inc.  Cary,  NC,  202  p.  Charleston,  SC. 

1982.     SAS  users  guide:  Statistics.     SAS  Institute  Inc.  Vetter,  R  D 

Cary,  NC,  584  p.  1977.     Respiratory  metabolism  of,  and  niche  separation 

Simmons,  E  G  .  and  J  P  Breuer  between  two  co-occurring  congeneric  species,  Cynoscion 

1962.     A  study  of  redfish,  Sciaenops  ocellata  Linnaeus  nebulosus  and  Cynoscion  arenarius  in  a  south  Texas 

and   black   drum,  Pogonias   cromis   Linnaeus.     Publ.  estuary.     MA  Thesis,  Univ.  Tex,  113  p. 
Inst.  Mar.  Sci.,  Univ.  Tex.  8:184-211. 


117 


LARVAL  DEVELOPMENT  OF  BLUE  GRENADIER,  MACRURONUS 
NOVAEZELANDIAE  (HECTOR),  IN  TASMANIAN  WATERS 


B  D  BruceI 


ABSTRACT 

The  development  of  Macruronus  novaezelandiae  is  described  and  illustrated  from  both  reared  speci- 
mens and  larvae  from  Tasmanian  waters.  Eggs  of  M.  novaezelandiae  are  pelagic,  spherical  (1.08-1.18 
mm  diameter),  and  have  a  single  oil  droplet  (0.36-0.42  mm  diameter).  Eggs  hatch  after  55-60  hours 
at  14°-19°C.  Larvae  are  2.2-2.3  mm  at  hatching.  Characteristic  pigmentation,  a  myomere  count  of 
78-80,  and  the  sequence  of  fin  development  separate  M.  novaezelandiae  from  other  known  gadiform 
larvae.  Development  is  direct,  with  no  marked  change  in  body  morphology.  Fin  development  proceeds 
in  the  sequence:  second  dorsal,  anal,  first  dorsal,  pelvic,  caudal,  pectoral.  However,  adult  fin  comple- 
ments are  reached  in  the  sequence:  first  dorsal,  pelvic,  anal,  second  dorsal,  caudal,  pectoral. 

Caudal  development  is  late  in  Macruronus.  Flexion  begins  at  20  mm  and  is  not  complete  until  28 
mm.  The  caudal  fin  is  based  on  two  ural  centra,  four  hypurals,  two  epurals,  and  a  parhypural.  X  and 
Y  bones  are  present  although  they  are  not  readily  distinguishable  from  dorsal  and  anal  pterygio- 
phores. 


The  genus  Macruronus  comprises  four  nominal 
species,  which  occur  in  southern  temperate  conti- 
nental shelf  and  slope  regions.  Two  species, 
Macruronus  novaezelandiae  and  M.  magellanicus 
support  commercial  fisheries.  The  blue  grenadier, 
M.  novaezelandiae ,  forms  the  basis  of  fisheries  in 
New  Zealand  and  Australia  where  total  annual 
catches  range  up  to  97,750  and  1,100  t  respec- 
tively (Patchell  1982;  Wilson  1981,  1982). 
Macruronus  magellanicus  is  fished  commercially 
off  South  America.  The  remaining  species,  M. 
maderensis  and  M.  capensis ,  are  known  only  from 
a  limited  number  of  specimens  (Svetovidov  1948; 
Cohen  1986).  Despite  their  economic  importance 
and  widespread  distribution,  very  little  is  known 
of  the  early  life  history  of  any  member  of  the 
genus.  Patchell  (1982)  identified  winter  spawn- 
ing grounds  on  the  west  coast  of  the  South  Island 
for  New  Zealand  populations  of  M.  novaeze- 
landiae and  similarly  Wilson  (1981,  1982)  has 
suggested  a  winter  spawning,  on  the  west  coast  of 
Tasmania,  for  Australian  M.  novaezelandiae. 
This  paper  presents  the  first  published  informa- 
tion on  the  larvae  of  Macruronus . 

In  1984,  the  Division  of  Fisheries  Research  of 
the  Commonwealth  Scientific  and  Industrial  Re- 
search   Organization   established   a   multidisci- 


ICSIRO  Division  of  Fisheries  Research,  GPO  Box  1538,  Ho- 
bart,  Tasmania  7001,  Australia;  present  address:  South  Aus- 
tralia Department  of  Fisheries,  GPO  Box  1625,  Adelaide,  South 
Australia  5001,  Australia. 


Manu.scnpt  accepted  September  1987. 
FISHERY  BULLETIN:  VOL.  86.  NO.  1,  1988. 


plinary  program  to  investigate  the  biology  and 
ecology  of  blue  grenadier  in  Tasmanian  waters. 
An  integral  part  of  this  program  was  a  study  of 
larval  ecology.  As  such,  it  was  first  necessary  to 
establish  criteria  for  the  identification  of  blue 
grenadier  larvae.  This  paper  describes  the  larval 
development  of  M.  novaezealandiae  from  Tasma- 
nian waters. 

MATERIALS  AND  METHODS 

Specimens  were  obtained  from  samples  col- 
lected aboard  the  CSIRO  Fisheries  Research  Ves- 
sel Soela  between  April  1984  and  September 
1985.  Details  of  sampling  strategies,  locations, 
and  procedures  will  be  described  in  a  subsequent 
manuscript.  Larvae  were  obtained  by  sampling 
with  a  rectangular  midwater  trawl  (RMT  1+8; 
Baker  et  al.  1973),  aim  diameter  ring  net  (500 
[im  mesh),  and  free-fall,  vertical  drop  nets  of  64 
|jLm  and  200  fxm  mesh  (Heron  1982).  Juvenile 
specimens  were  obtained  with  an  Engels  352 
pelagic  trawl  fitted  with  a  10  mm  liner. 

Newly  hatched  larvae  were  reared  from  eggs 
stripped  and  fertilized  at  sea.  Eggs  and  milt 
stripped  from  ripe  adults  trawled  from  500  m 
were  mixed  in  1  L  plastic  jars  filled  with  sea- 
water.  Despite  the  jars  being  located  in  a  sea- 
water  bath,  incubation  temperatures  varied  con- 
siderably (14°-19°C).  On  return  to  the 
laboratories  at  Hobart,  the  eggs  were  transferred 
to  2  L  glass  jars  and  placed  in  a  constant  temper- 

119 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


ature  incubation  chamber  set  at  14.0°  ±  0.2°C.  In- 
cubation jars  were  not  aerated,  and  no  attempt 
was  made  to  feed  the  larvae. 

All  specimens  used  for  description  were  fixed  in 
a  IQ%  formalin-seawater  solution  buffered  with 
sodium  p-glycerophosphate  and  later  transferred 
to  a  59^  solution. 

This  description  is  based  on  a  series  of  74  lar- 
vae, 2.2-34.2  mm  in  length,  although  comments 
on  pigment  and  meristic  variability  stem  from 
routine  examination  of  several  hundred  speci- 
mens. A  representative  series  of  larvae  is  de- 
posited with  the  South  Australian  Museum,  Ade- 
laide, South  Australia. 

Developmental  terminology  follows  Ahlstrom 
et  al.  (1976).  Body  measurements  follow  Matarese 
et  al.  (1981).  Length  measurements  are  reported 
as  notochord  length,  NL  (i.e.,  from  the  snout  tip  to 
the  end  of  the  notochord)  in  preflexion  and  flexion 
larvae,  and  standard  length,  SL  (i.e.,  from  the 
snout  tip  to  the  posterior  margin  of  the  superior 
hypural  elements)  in  postflexion  larvae  and  juve- 
niles. Larvae  were  measured  under  a  dissecting 
microscope  fitted  with  an  ocular  micrometer  and 
a  camera  lucida.  Juveniles  were  measured  with 
vernier  calipers. 

Meristic  counts  and  examination  of  ossification 
sequences  were  made  on  specimens  cleared  and 
stained  using  Alizarin  Red  S-KOH-glycerine 
(Hollister  1934).  Caudal  osteology  follows  Inada 
(1981),  Marshall  and  Cohen  (1973),  and  Monod 
(1968). 

Vertebral  counts  include  the  first  vertebrae, 
the  neural  spine  of  which  is  fused  to  the  supraoc- 
cipital  crest  (Marshall  1966),  and  both  ural  cen- 
tra. Vertebral  centra  were  counted  as  ossified 
only  when  a  complete  band  of  stain  connected 
both  neural  and  haemal  spines. 

RESULTS 

Identification  of  M.  novaezelandiae  larvae  was 
based  on  their  typical  gadiform  morphology 
(large  head,  compact  gut,  tapering  body  form), 
myomere  count,  and  the  development  of  confluent 
dorsal-caudal-anal  fins  (see  section  on  Distin- 
guishing Features).  Identification  of  field- 
collected  specimens  was  confirmed  by  comparison 
with  reared  larvae. 

Distinguishing  Features 

Prior  to  median  fin  development,  myomere 
counts  are  useful  in  separating  M.  novaezelandiae 


larvae  (78-80)  from  similarly  pigmented  morid 
(41-72),  macrourid  (10-16  +  70  >  100),  gadid 
(39-64)  and  other  known  merlucciid  larvae  (48- 
58)  which  they  superficially  resemble  (Marshall 
and  Iwamoto  1973;  Fahay  and  Markle  1984; 
present  study). 

Both  M.  novaezelandiae  and  most  morid  larvae 
show  moderately  pedunculate  pectoral  fins,  a  fea- 
ture common  in  gadiform  larvae  with  delayed 
caudal  development  (Fahay  and  Markle  1984). 
Macrourid  larvae,  in  contrast,  have  very  promi- 
nently stalked  pectorals  and  can  further  be  sepa- 
rated from  M.  novaezealandiae  and  most  morids 
by  precocious  development  of  the  pelvic  fin. 

Size  at  caudal  flexion  and  the  sequence  of  fin 
development  are  also  useful  in  separating  M. 
novaezelandiae  from  all  Merluccius  species.  In 
Merluccius ,  notochord  flexion  generally  begins  at 
about  9  mm  and  the  caudal  fin  is  the  first  to  form 
(Dunn  and  Matarese  1984;  Fahay  and  Markle 
1984).  Macruronus  novaezelandiae  larvae  do  not 
begin  caudal  flexion  until  approximately  20  mm, 
and  the  caudal  fin  is  the  second  last  to  form. 

Macruronus  novaezelandiae  larvae  have  1-3 
prominent  melanophores  along  the  ventral  mid- 
line of  the  tail  (although  variable  in  appearance, 
see  section  on  Trunk  and  Tail  Pigmentation) 
and  a  double  series  of  dorsal  melanophores.  When 
expanded,  melanophores  in  these  two  regions 
coalesce  to  give  the  appearance  of  a  broad 
postanal  band.  Postanal  banding  patterns  are 
widespread  in  gadoid  larvae  (Fahay  and  Markle 
1984);  however,  unlike  many  gadoid  larvae,  M. 
novaezelandiae  lacks  pigment  at  the  notochord 
tip. 

At  larger  sizes  M.  novaezelandiae  larvae  de- 
velop long-based  dorsal  and  anal  fins  confluent 
with  the  caudal  fin.  Other  gadoid  larvae  with  this 
configuration  have  markedly  different  pigmenta- 
tion (see  Fahay  and  Markle  1984  for  details). 
Ophidiiform  larvae  have  confluent  dorsal,  caudal, 
and  anal  fins  but  can  be  separated  from  M.  no- 
vaezelandiae by  their  lack  of  a  separate  first  dor- 
sal fin  and  general  lack  of  body  pigment  (see  Gor- 
don et  al.  1984). 

Development 

Embryonic  development  has  not  been  treated 
in  detail  here  as  it  is  the  subject  of  a  manuscript 
in  preparation  by  G.  Patchell  (Fisheries  Research 
Centre,  Wellington,  New  Zealand). 

The  pelagic  eggs  of  blue  grenadier  are  spheri- 
cal, with  an  unsegmented  yolk  and  a  smooth  cho- 


120 


BRUCE:  LARVAL  DEVELOPMENT  OF  BLUE  GRENADIER 


rion.  Late-stage  eggs  are  1.08-1.18  mm  in  diame- 
ter with  a  single  oil  droplet  of  0.36-0.42  mm  di- 
ameter (Fig.  lA).  Reared  larvae  hatch  at  2.2-2.3 
mm  after  55-60  hours  ( 14'-19"C).  Newly  hatched 
larvae  have  a  posteriorly  positioned  oil  droplet 
and  adopt  a  head  down  position  in  rearing  con- 
tainers. Yolk  absorption  was  incomplete  in  speci- 
mens reared  to  3.7  mm  (6  days  posthatch),  al- 
though the  smallest  field-collected  larvae  (3.6 
mm)  had  already  completed  yolk  absorption.  The 
anus  opened  laterally  to  the  right  in  all  reared 
larvae  and  95*^  of  field-collected  larvae.  The  anus 
becomes  symmetrical  by  5.1  mm.  A  lateral  anal 
opening  in  M.  novaezelandiae  is  consistent  with 
the  developmental  pattern  reported  for  other  gad- 
iform  species  (Marak  1967;  Matarese  et  al.  1981; 
Fahay  and  Markle  1984;  Dunn  and  Vinter  1984). 
Field-collected  larvae  are  moderately  elongate 
with  the  greatest  body  depth  (16-229?  body 
length)  occurring  at  or  near  the  pectoral  fin  base 
(Table  1).  Head  length  as  a  proportion  of  body 
length  (BL)  remains  relatively  constant  at  about 
22%  BL  throughout  the  larval  phase,  decreasing 
to  about  \1'7(  BL  in  juveniles.  Eye  diameter  de- 
creases from  99f  BL  in  preflexion  larvae  to  A'7c  BL 
in  juveniles.  Depth  at  anus  remains  relatively 
constant  at  about  139^  BL  in  larvae  and  juveniles. 
Distances  from  the  snout  tip  to  the  first  dorsal  fin 
and  from  the  snout  tip  to  the  anal  fin  decrease 
slightly  during  development  from  about  279?^  BL 
to  2l7c  BL  and  519r  BL  to  469?  BL  respectively. 


in  the  number  of  melanophores  and  their  degree 
of  expansion.  Although  Badcock  and  Merrett 
(1976)  suggested  the  appearance  of  melanophores 
can  change  on  a  diurnal  rhythm,  in  the  blue 
grenadier  larvae  examined,  there  was  no  conspic- 
uous relationship  between  time  caught  and  me- 
lanophore  expansion. 

Head  Pigmentation 

Newly  hatched  larvae  (2.2-2.3  mm)  have 
melanophores  concentrated  in  front  and  behind 
the  eye  (Fig.  IB).  Melanophores  increase  in  num- 
ber and  extend  over  the  sides  of  the  head  and 
snout  by  3.3-3.5  mm  (reared  larvae,  Fig.  IC). 
Melanophores  migrate  dorsally  to  the  top  of  the 
head  by  3.6  mm  (Fig.  ID).  Eyes  become  pig- 
mented at  this  size  in  reared  larvae.  By  4.5  mm, 
the  dorsal  pigment  on  the  head  consists  of  a  group 
of  3-11  melanophores  scattered  over  the  hind- 
brain  and  posteriorly  to  above  the  cleithrum.  Pig- 
ment gradually  extends  over  the  midbrain,  with  1 
or  2  melanophores  usually  present  between  the 
eyes  by  5.3  mm.  Melanophores  develop  externally 
over  these  initial  mid-  and  hindbrain  spots  and 
extend  posteriorly  as  a  double  row  to  the  dorsal 
fin  anlage  by  7.2  mm.  Dorsal  pigment  gradually 
intensifies:  melanophores  increase  in  number 
and  form  a  cap  over  mid-  and  hindbrains  by  16.0 
mm.  Melanophores  extend  down  between  the  eyes 
to  the  tip  of  the  maxilla  by  12.0  mm.  Internal 


Table  1  — Body  proportions  of  larvae  and  juveniles  of  Macruronus  novaezelandiae  (expressed  as  percentage  NL  or  SL):  mean,  standard 

deviation,  range. 


Preflexion 

Flexion 

Postflexion 

Juvenile 

Body  proportions 
sample  size 

42 

4 

4 

2 

X 

SD 

range 

X 

SD 

range 

X 

SD 

range 

X 

SD 

range 

length  (mm) 

8.9 

4.5 

(3.6-19.0) 

23.5 

2.3 

(20.6-26.1) 

300 

2.9 

(27.6-34.2) 

1890 

1.4 

(188.0-190.0) 

head  length 

227 

1.7 

(18.3-24.7) 

23.7 

1.0 

(223-24.7) 

22.3 

1.4 

(20.5-23.6) 

17.6 

0.4 

(17.3-17.9) 

eye  diameter 

92 

0.7 

(8,1-10.3) 

7.9 

0.4 

(7.3-8.3) 

7.3 

0.7 

(6.5-8.0) 

4.2 

0.4 

(4.4-5.2) 

snout  length 

6.1 

0.9 

(4.6-7.7) 

6.2 

0.6 

(5.7-7.0) 

5.9 

0.5 

(5.4-6.5) 

4.9 

0.1 

(4.8-5.0) 

depth  at  pectoral 

223 

1.7 

(21.0-24.4) 

17.9 

0.6 

(17.2-18.5) 

16.6 

2.0 

(13.7-18.5) 

13.1 

0.1 

(13.0-13.2) 

depth  at  anus 

120 

2.4 

(8.2-15.2) 

13.1 

0.3 

(12.6-13.4) 

13.0 

0.8 

(12.3-13.8) 

12.7 

0.6 

(12.3-13.1) 

snout  to  first 

dorsal  fin 

27.5 

1.3 

(25.2-29.3) 

26.6 

0.8 

(26.0-27.7) 

25.3 

0.8 

(24.2-26.0) 

20.7 

0.2 

(20.6-20.9) 

snout  to  anal  fin 

51.4 

0.9 

(50.0-52.6) 

50.4 

0.5 

(49.6-50.6) 

46.6 

1.5 

(45.0-48.4) 

46.5 

1.2 

(45.7-47.4) 

Pigmentation 

Although  pigmentation  in  M.  novaezelandiae  is 
variable,  certain  features  persist  that,  when  com- 
bined with  meristic  and  morphometric  informa- 
tion, enable  identification.  Variation  in  the  ap- 
pearance of  pigmentation  is  a  result  of  differences 


pigment  expands  over  the  forebrain  in  larvae 
from  9.0  to  15.0  mm. 

Ventral  pigment  on  the  head  first  develops  in 
4.2  mm  larvae  as  3-5  melanophores  between  the 
dentaries.  The  number  of  melanophores  increases 
to  10-12  by  12.0  mm. 


121 


FISHERY  BULLETIN:  VOL,  86,  NO.  1 


Figure  1. — Development  of  Macruronus  novaezelandiae:  A) 
Late  stage  egg  1.08  mm  diameter,  oil  droplet  0.37  mm  di- 
ameter, B)  2.2  mm.;  C)  3.5  mm.;  D)  3.6  mm.;  E)  5.3  mm.;  F) 
7.2  mm.;  G)  dor.sal  view  of  above;  H)  12.0  mm.;  I)  24.2  mm. 
postanal  myomeres  omitted.  A-C  reared  specimens,  D-I 
field-collected. 


BRUCE:  LARVAL  DEVELOPMENT  OF  BLUE  GRENADIER 


123 


FISHERY  BULLETIN;  VOL.  86,  NO.  1 


The  onset  of  dentary  pigment  is  variable;  no 
pigment  may  be  present  on  some  larvae  as  large 
as  7.0  mm.  Most  larvae  develop  1  or  2  melano- 
phores  over  the  posterior  section  of  the  dentary  by 
5.3  mm  and  add  melanophores  anteriorly  along 
its  length,  with  5  or  6  usually  present  by  7.1  mm. 

Two  melanophores  are  often  present  around  the 
otic  capsule  by  7.0  mm,  but  they  are  obscured  by 
overlying  tissue  in  10.0  mm  larvae.  Scattered 
melanophores  develop  over  the  pterotic  region  by 
25.0  mm,  but  the  operculum  and  preoperculum 
remain  largely  unpigmented,  even  in  the  largest 
specimen  examined  (34.2  mm). 

Trunk  and  Tail  Pigmentation 

Newly  hatched  larvae  have  melanophores  on 
the  body  above  the  yolk  sac  and  ventrally  on  the 
tail.  Some  pigment  is  also  present  on  the  yolk  sac 
near  the  developing  gut  and  scattered  over  the  oil 
droplet.  Pigment  forms  a  cap  over  the  gas  bladder 
by  4.2  mm.  Melanophores  are  gradually  added  to 
the  lateral  surfaces  of  the  gut  throughout  the  lar- 
val period  until  the  entire  gut  (including  the  ven- 
tral surface)  becomes  pigmented  by  30.0  mm. 

Dorsal  pigment  first  appears  on  larvae  3.8-4.5 
mm  as  scattered  melanophores  at  approximately 
607c  NL.  Melanophores  rapidly  increase  in  num- 
ber and  form  a  double  row,  extending  from  51%  to 
67%  NL  in  larvae  of  5.0  mm.  Lateral  melano- 
phores may  also  develop  above  the  body  midline 
in  this  region.  Concurrently,  a  similar  double  row 
of  melanophores  appears  and  extends  posteriorly 
from  the  head  (Fig.  IG).  The  head  and  tail  rows 
join  by  10.5  mm.  Melanophores  appear  posteri- 
orly in  the  caudal  region  by  29.0  mm  forming  a 
twin  series  one  either  side  of  the  developing  dor- 
sal fin.  Pigment  also  appears  internally  on  the 
dorsal  surface  of  the  vertebrae  in  larvae  of  9.5  mm 
and  extends  anteriorly  to  approximately  50%  SL 
and  posteriorly  to  the  last  vertebrae  by  34.0  mm. 

Single  melanophores  appear  on  the  dorsal  fin 
ray  bases  by  14.0  mm  and  are  present  on  all  bases 
by  29.0  mm. 

Pigment  along  the  ventral  midline  of  the  tail 
appears  in  newly  hatched  larvae  as  a  diffuse  re- 
gion that  extends  posteriorly  from  the  yolk  sac  to 
75-82%  NL.  This  contracts  to  1-3  melanophores 
(most  commonly  2)  located  52-65%  NL  in  larvae 
of  3.8-4.0  mm.  Additional  melanophores  (up  to  6) 
may  appear  later,  but  the  initial  1-3  melano- 
phores persist  throughout  the  larval  period.  In 
larvae  larger  than  7.0  mm,  the  initial  1-3 
melanophores  appear  internally  above  the  anal 


fin  ray  bases  and  are  gradually  obscured  by  both 
overlying  musculature  and  external  melano- 
phores. These  ventral  melanophores  on  the  tail 
are  a  useful  diagnostic  character,  although  their 
appearance  varies,  depending  on  their  degree  of 
expansion.  This  variability  in  melanophore  ap- 
pearance is  particularly  evident  in  small  larvae 
where  expanded  ventral  melanophores  may  ex- 
tend over  the  lateral  surfaces  of  the  body  to  al- 
most the  dorsal  area  (Figs.  ID,  2). 

Lateral  pigment  gradually  intensifies  through- 
out the  larval  period,  excepting  the  area  immedi- 
ately above  the  gut,  which  remains  largely  devoid 
of  pigment  even  in  the  largest  specimen  (34.2 
mm). 

Morphological  Variability 

Macruronus  novaezelandiae  larvae  showed 
some  size  variation  in  development.  In  general, 
specimens  captured  in  ring  net  and  RMT  samples 
appeared  to  develop  features  at  slightly  smaller 
sizes  than  those  taken  from  drop  net  samples. 
This  is  likely  a  result  of  difi"erential  shrinkage  of 
specimens  caught  by  the  different  capture  sys- 
tems. Hay  (1981)  reported  that  considerably  more 
shrinkage  occurred  in  Pacific  herring  when  lar- 
vae were  killed  prior  to  fixation  and  that  shrink- 
age increased  with  tow  length.  Ring  net  and  RMT 
tows  varied  in  duration  from  15  to  110  minutes, 
with  most  larvae  dead  by  the  time  the  net  was 
retrieved  and  the  catch  fixed.  Drop  net  sampling, 
in  contrast,  lasted  for,  at  most,  3  minutes  dura- 
tion, and  many  larvae  were  still  alive  on  fixation. 
Some  variability  in  development  can  also  be  ex- 
pected in  field-collected  larvae  as  a  reflection  of 
past  history  (e.g.,  feeding  success),  although  it  is 
unlikely  such  variations  would  account  for  the 
observed  differences  between  larvae  caught  by 
different  techniques. 

Meristics  and  Osteology  (Table  2) 
Head  and  Axial  Skeleton 

In  laboratory-reared  larvae,  jaw  development 
was  first  visible  after  3.5  days  (posthatch)  with  a 
functional  mouth  present  in  larvae  of  5.5  days 
(3.7  mm).  Pigmentation  of  the  eyes  also  occurred 
at  this  time  suggesting  that  larvae  were  ready  for 
first  feeding.  The  smallest  larva  stained  was  a 
field-collected  specimen  3.7  mm  NL.  The  maxilla, 
premaxilla,  dentary,  and  cleithrum  were  all  ossi- 
fied in  this  specimen. 


124 


BRUCE:  LARVAL  DEVELOPMENT  OF  BLUE  GRENADIER 


Figure  2. — Variability  of  ventral  pigment  on  the  tail  in  4.9  mm  larvae  of  Macruronus  novaezelandiae. 


Ossification  of  branchiostegals  begins  in  larvae 
of  4.6  mm,  with  the  full  complement  of  7  ossified 
by  11.5  mm.  Gill  rakers  are  first  discernible  in 
larvae  of  9.4-9.9  mm  with  the  full  complement  of 
7  +  22-23  present  by  28.9  mm. 

Ossification  of  neural  and  haemal  spines  gener- 
ally precedes  that  of  the  vertebral  centra.  Ossifi- 
cation of  centra,  neural  spines,  and  haemal  spines 
occurs  sequentially  from  anterior  to  posterior  pro- 
ceeding slowly  in  larvae  less  than  9.0  mm  in 
length  and  then  more  rapidly  until  the  full  com- 
plement is  ossified  by  23.2  mm.  Elements  associ- 


ated with  the  caudal  complex  are  the  last  to  os- 
sify. 

Fins 

Completion  of  fin  development  in  M.  novaeze- 
landiae occurs  in  the  sequence:  first  dorsal  and 
pelvic  (almost  simultaneously),  anal,  second  dor- 
sal, caudal,  pectoral. 

Pelvic  fins  first  appear  in  larvae  of  5.7— 5.8  mm 
as  slight  swellings  either  side  of  the  gut.  They  do 
not  form  distinct  buds  until  6.9  mm.  Ossification 


125 


FISHERY  BULLETIN:  VOL  86,  NO    1 

Table  2.— Meristic  counts  from  cleared  and  stained  larval  and  juvenile  Macruronus  novaezelandiae  Specimens  between  dashed  lines  are 

undergoing  notochord  flexion,     a  =  specimen  damaged;  b     juveniles  not  stained. 


Length 
(mm) 


37 

3.9 

4.2 

4.6 

4.8 

5.2 

6.0 

74 

9.4 

9.9 

11.5 

16.3 

17.4 

19.8 


dorsal 


4  +  28 

0  +  19 

9  +  74 

12  +  84 

12  +  86 

13  +  87 


Fin  rays 


anal       pectoral       pelvic 


Branchi- 

ostegal 

rays 


Gill  rakers 


upper        lower        total 


Total 
centra 


Neural 
spines 


Haemal 
spines 


18 
4 
60 
73 
76 
86 


4 
8 
8 

8 


1 
1 
3 
3 
5 
6 
6 
7 
7 
7 
7 


8 
6 

12 
15 
15 
15 


8 
6 
12 
16 
18 
20 


5 
42 
38 
55 
70 
71 
73 


1 

1 

2 

2 

2 

3 

6 

55 

54 

58 

70 

70 

74 


37 
34 
42 
55 
55 
57 


Caudal 
elements 


3 
3 

4 


23.2 

12+  100 

90 

9 

8 

7 

5 

17 

22 

76 

74 

57 

5 

26.1 

13  +  99 

90 

13 

8 

7 

5 

21 

26 

76 

74 

57 

5 

28.9 

13  +  99 

91 

9 

8 

7 

7 

22 

29 

78 

76 

57 

a 

188 

13  +  94 

90 

20 

8 

7 

7 

22 

29 

b 

b 

b 

b 

190 

13  +  96 

90 

20 

8 

7 

7 

23 

30 

b 

b 

b 

b 

may  start  as  early  as  9.4  mm  with  the  full  comple- 
ment (8  rays)  present  by  16.3  mm.  Ossification 
proceeds  from  the  outer  to  the  innermost  rays. 

The  second  dorsal  fin  anlage  is  visible  in  larvae 
of  5.7  mm.  Bases  are  first  visible  by  6.9  mm,  with 
ray  ossification  commencing  by  7.3  mm.  Al- 
though the  anal  fin  anlage  does  not  form  until  6.9 
mm,  complete  ossification  is  reached  before  that 
of  the  second  dorsal.  Distinct  anal  fin  bases  are 
first  visible  in  7.2  mm  larvae  and  ossification  has 
consistently  begun  by  9.9  mm.  The  full  comple- 
ment of  anal  rays  is  present  by  21.0  mm  and  for 
the  second  dorsal,  by  23.2  mm. 

The  first  dorsal  starts  development  slightly 
later  than  the  second  dorsal,  although  it  is  the 
first  fin  to  complete  ossification.  The  full  comple- 
ment of  12  or  13  elements  is  present  by  16.3  mm. 

Pectoral  buds  were  first  observed  in  larvae  4.5 
days  posthatch  (3.2  mm).  However,  the  pectoral 
fin  is  the  last  to  complete  development.  Ossifica- 
tion of  pectoral  rays  starts  by  16.3  mm;  a  34.2  mm 
specimen  had  only  15  ossified  rays,  still  short  of 
the  20  rays  of  juveniles.  Sequence  of  ossification 
is  from  upper  to  lower. 

The  caudal  fin  anlage  first  appears  on  the  ven- 
tral surface  of  the  notochord  just  anterior  to  the 
tip  in  larvae  of  10.4  mm.  Flexion  begins  at  20  mm 
and  is  usually  complete  by  28  mm.  Ossification  of 
all  caudal  elements  was  incomplete  in  a  34.2  mm 
specimen.  Insufficient  material  of  the  appropriate 
size  was  available  to  define  the  completion  of  cau- 
dal ossification. 


The  caudal  complex  in  M.  novaezelandiae  is 
based  on  two  ural  centra,  two  epurals,  a  superior 
hypural  (HP3  +  4),  inferior  hypural  (HPl  +  2), 
and  a  parhypural  (Fig.  3).  Eight  to  nine  rays  ar- 
ticulate with  these  elements — one  or  two  rays  on 
the  second  epural,  three  rays  on  the  superior  hy- 
pural, two  on  the  inferior  hypural,  and  one  ray 
each  on  the  first  epural  and  the  parhypural.  Sin- 
gle rays  also  articulate  with  the  elongate  neural 
and  haemal  spines  of  the  first  preural  centrum.  X 
and  Y  bones  are  present  although  they  are  not 
readily  distinguishable  from  dorsal  and  anal 
pterygiophores.  Total  caudal  fin  ray  counts  are 
low  (12  or  13). 

Additional  caudal  structures  occurred  in  one  of 
the  six  specimens  examined.  This  specimen  had  a 
twin  haemal  spine  on  the  first  preural  centrum 
and  greatly  elongated  haemal  spines  on  preural 
centra  3-8  (1.3-1.4  times  the  length  of  corre- 
sponding neural  spines,  Fig.  3). 

DISCUSSION 

The  general  morphology  and  pigmentation  of 
M.  novaezelandiae  larvae  show  broad  similarities 
to  Merluccius  and  to  gadine  gadids.  Characteris- 
tic differences  between  M.  novaezelandiae  and 
Merluccius  species  occur  in  fin  structure  and  the 
sequence  of  fin  development.  In  Merluccius,  the 
caudal  fin  is  the  first  to  form,  followed  by  the 
pelvic.  In  Macruronus,  caudal  development  is 
late  with  the  caudal  fin  being  the  second  last  to 


126 


BRUCE:  LARVAL  DEVELOPMENT  OF  BLUE  GRENADIER 


Additional 
Haemal  Spine 

Figure  3. — Caudal  osteology  of  a  juvenile  Macruronus  novaezelandiae  (181  mm  SL). 
X  =  X  bone,  Y  =  Y  bone,  EP  =  epural,  SH  =  superior  hypural  (hypurals  3  +  4),  IH 
=  inferior  hypural  (hypurals  1  +  21,  PH  =  parhypural,  U  =  ural  centra,  PU  =  preural 
centra. 


form.  The  pectoral  fin  in  Macruronus  larvae  is 
more  markedly  stalked  than  in  Merluccius. 
Fahay  and  Markle  ( 1984)  suggested  that  this  pec- 
toral modification  in  larvae  with  delayed  caudal 
development  may  be  a  compensatory  response  as- 
sociated with  swimming. 

Although  the  larvae  of  the  remaining  mer- 
lucciid  genera  (Lyconus  and  Lyconodes)  are  cur- 
rently unknown,  fin  structure  and  position  should 
be  useful  in  separating  these  from  Macruronus. 
Based  on  adult  features,  pelvic  insertion  should 
distinguish  Macruronus  (pelvics  inserted  behind 
pectorals)  from  Lyconus  (opposite)  and  Lyconodes 
(abdominal).  Additionally,  Lyconus  has  only  a 
single  dorsal  fin  and  no  caudal  fin. 

The  caudal  fin  of  M.  novaezelandiae  is  similar 
to  Muraenolepis  in  its  confluence  with  dorsal  and 
anal  fins  (Fahay  and  Markle  1984).  This  similar- 
ity extends  to  the  undifferentiated  X  and  Y  bones 
and  the  total  caudal  fin  ray  count  (12  or  13)  re- 
ported by  these  authors.  However,  unlike  Mu- 
raenolepis, M.  novaezelandiae  has  radials  fused  to 
the  spines  of  the  first  preural  centrum,  which  is 
the  more  typical  gadoid  condition. 

Variability  in  the  structure  and  appearance  of 
bones  associated  with  the  caudal  fin  has  been  re- 
ported for  other  Macruronus  species.  Marshall 
( 1966)  observed  double  neural  arches  and  "super- 
numary  elements"  in  M.  magellanicus.  Indeed, 
variability  in  gadiform  caudal  structure  ap- 
pears not  to  be  unusual  with  examples  in  several 
taxa  (Markle  1982).  Unfortunately,  insufficient 
specimens  in  the  appropriate  35-150  mm  size 
range  were  available   to  assess  developmental 


characteristics     of    these     variations     in     blue 
grenadier. 

ACKNOWLEDGMENTS 

I  thank  R.  Thresher,  J.  Gunn,  J.  Leis,  and  A. 
Miskiewicz  for  their  reviews  of  the  manuscript.  I 
also  thank  D.  Furlani  for  sorting  the  samples  and 
for  her  considerable  patience  in  the  laboratory. 
This  work  was  supported  by  a  grant  from  the 
Fisheries  Industry  Research  Trust  Account. 

NOTE:  Since  the  acceptance  of  this  paper,  the 
embryological  work  by  A.  Patchell  (see  section  on 
Development)  has  been  published  in  New 
Zealand  Journal  of  Marine  and  Freshwater  Re- 
search Vol.  21,  No.  2.  That  paper  includes  a  simi- 
lar larval  developmental  sequence  to  that  re- 
ported here. 


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128 


THE  DISTRIBUTION,  ABUNDANCE,  AND  TRANSPORT  OF 

LARVAL  SCIAENIDS  COLLECTED  DURING  WINTER  AND  EARLY  SPRING 

FROM  THE  CONTINENTAL  SHELF  WATERS  OFF  WEST  LOUISIANA^ 

James  H  Cowan,  Jr.^  and  Richard  F.  Shaw^ 


ABSTRACT 

The  larvae  of  six  species  of  Sciaenidae  were  collected  in  continental  shelf  waters  off  west  Louisiana 
on  five  midmonthly  ichthyoplankton  cruises  from  December  1981  to  April  1982.  Ranked  in  order  of 
abundance  these  species  were  sand  seatrout,  Cynoscion  arenarius;  Atlantic  croaker,  Micropogonias 
undulatus;  spot,  Leiostomus  xanthurus;  black  drum,  Pogonias  cromis;  southern  kingfish,  Menticir- 
rhus  amencanus;  and  banded  drum.  Larimus  fasciatus.  Total  larva  density  was  highest  in  April,  and 
the  high  densities  were  associated  with  the  coastal  boundary  layer,  a  horizontal  density  front  caused 
by  an  intrusion  of  fresher  water  onto  the  inner  shelf  that  probably  issued  from  the  Atchafalaya  River 
east  of  the  study  area.  Spawning  by  sand  seatrout  began  in  January,  two  months  earlier  than 
previously  reported,  and  first  occurred  offshore  of  midshelf  but  moved  shoreward  as  the  season 
progressed.  Analysis  of  length-frequency  data  suggest  that  spot  probably  began  to  spawn  in  Novem- 
ber, one  month  earlier  than  once  thought.  Both  sand  seatrout  and  Atlantic  croaker  larvae  were 
captured  at  higher  rates  at  night  than  during  the  daytime.  Sand  seatrout  larvae  appear  to  be 
somewhat  surface  oriented  while  spot  may  undergo  vertical  migration.  Interpretation  of  the  sciaenid 
data  support  a  previously  developed  transport  hypothesis  involving  gulf  menhaden  larvae  and  west- 
northwest  alongshore  advection  within  and  just  outside  of  a  horizontally  stratified  coastal  boundary 
layer. 


Members  of  the  perciform  family  Sciaenidae  are 
an  important  sport  and  commercial  fishery  re- 
source along  the  United  States  coast  of  the  Gulf  of 
Mexico  and  are  perhaps  the  most  prominent 
group  of  northern  Gulf  inshore  fishes.  Sciaenids 
exceed  all  other  families  in  numbers  of  species 
(18)  and  in  numbers  of  individuals  or  biomass; 
they  are  among  the  top  four  families  with  Mugili- 
dae,  Engraulidae,  and  Clupeidae  (Gunter  1938, 
1945;  Moore  et  al.  1970;  Franks  et  al.  1972;  Hoese 
and  Moore  1977).  Of  the  six  species  of  sciaenids 
captured  during  this  study,  only  the  banded 
drum,  Larimus  fasciatus,  is  not  commonly  sought 
by  both  sport  and  commercial  fishermen. 

Many  of  Louisiana's  sciaenids  spawn  in  coastal 
or  offshore  waters.  They  have  pelagic  eggs  and 
young  which  are  then  transported  into  estuaries 
(Johnson  1978  for  review).  The  seasonal  impor- 
tance of  Louisiana's  estuaries  as  nursery  grounds 


'Louisiana  State  University  Contribution  No.  LSU-CFI-86- 
08. 

^Center  for  Wetland  Resources,  Louisiana  State  University, 
Baton  Rouge,  LA  70803-7503;  present  address:  Center  for  Envi- 
ronmental and  Estuarine  Studies,  University  of  Maryland, 
Chesapeake  Biological  Laboratory,  Box  38,  Solomons,  MD 
20688-0038. 

^Center  for  Wetland  Resources,  Louisiana  State  University, 
Baton  Rouge,  LA  70803-7503. 


for  postlarval  and  juvenile  sciaenids  is  well  docu- 
mented (Cowan  1985  for  review),  and  several 
summary  works  are  available  which  contain  tax- 
onomic  and  biological  information  on  adult 
sciaenids  (Pearson  1929;  Suttkus  1955;  Guest  and 
Gunter  1958;  Hoese  and  Moore  1977;  Johnson 
1978;  Powles  and  Stender  1978;  Barger  and  John- 
son 1980;  Barger  and  Williams  1980;  Mercer 
1984a,  b).  In  contrast,  there  is  little  information 
about  sciaenid  ichthyoplankton  assemblages  in 
Gulf  continental  shelf  waters,  their  offshore  and 
coastal  distribution,  or  the  oceanic  current  sys- 
tems which  influence  their  estuarine  recruit- 
ment. 

This  study  provides  such  early  life  history  in- 
formation by  determining  larva  distribution, 
abundance,  and  length  frequency;  by  document- 
ing spawning  location  (depth  and  distance  from 
shore)  of  winter  and  early  spring-spawned 
sciaenids  off  west  Louisiana;  and  by  analyzing 
larval  sciaenid  distribution  with  respect  to  known 
water  circulation  patterns  and  a  larval  gulf  men- 
haden, Brevoortia  patronus,  transport  hypothesis 
in  the  shelf  waters  of  the  northwestern  Gulf  of 
Mexico  (Shaw  et  al.  1985b).  Recruitment  implica- 
tions of  the  observed  distribution,  larva  age  struc- 
ture, and  transport  of  sciaenids  in  Louisiana 
waters  are  also  discussed. 


Manuscript  accepted  September  1987. 
FISHERY  BULLETIN:  VOL  86.  NO.  1,  1988. 


129 


FISHERY  BULLETIN:  VOL  86.  NO    1 


METHODS  AND  MATERIALS 

Detailed  sampling  methodology  has  been  pre- 
sented elsewhere  (Shaw  et  al.  1985  a,  b).  Briefly, 
larval  sciaenids  were  collected  off  west  Louisiana 
on  a  sampling  grid  consisting  of  37  stations  on  5 
transects  (Fig.  1)  during  5  midmonthly  cruises 
from  December  1981  to  April  1982.  Ichthyoplank- 
ton  samples  were  analyzed  from  the  335  |xm  mesh 
net  side  of  an  opening  and  closing,  60  cm,  paired 
"bongo  type"  plankton  sampler  fitted  with  Gen- 
eral Oceanics'  flowmeters  (model  no.  2030).  Most 
plankton  collections  (125  of  187  total)  consisted  of 
10-min  stepped  oblique  tows  from  near  bottom  to 
surface.  Nets  were  set  closed  and  opened  just 
prior  to  the  stepped  ascent.  Each  tow  had  five 
steps  with  a  retrieval  rate  between  steps  of  20 
m/minute;  towing  speed  was  about  1  m/second 
(2  knots).  The  object  of  the  10-min  tow  was  to 
filter  approximately  100  m*^  of  water.  This  process 
increased  the  water  volume  filtered  per  unit 
depth  at  the  shallow  stations  relative  to  deeper 
stations.  This  discrepancy  is  acceptable  since  the 
alternative  would  be  to  compare  17-s  shallow- 
station  oblique  tows  with  9-min  deep-station  tows 
at  a  uniform  retrieval  rate  (Houde  1977).  At  se- 
lected stations  (A-3,  6,  9;  B-1;  C-6;  D-1;  E-3,  6,  9; 
Fig.  1),  only  10-min  simultaneous  surface  and 
near-bottom  horizontal  tows  (31  surface  and  31 
near-bottom)  were  made  to  determine  if  sciaenid 
larvae  were  vertically  stratified.  Larva  total 
length  (TL)  was  measured  to  the  nearest  0.1  mm. 
Larva  densities  are  reported  as  standardized 
catch  rates  at  a  station  (density  =  larvae/100  m"^). 

A  four-way  analysis  of  variance  (ANOVA)  was 
performed  on  logio  transformed  [(no.  larvae/100 
m^)  +  1]  data  to  determine  the  spatial  (vertical 
and  horizontal),  temporal,  and  diel  patterns  of 
species  density  and  distribution.  The  four  main 
effects  tested  were  month  (January-April);  sta- 
tion depth  group  (d.g.)  (d.g.  1  <  10  m,  10  m  <  d.g. 
2  <  14  m,  14  m  <  d.g.  3  <  24  m  and  d.g.  4  >  24  m); 
day-night  (2000  hours  <  night  <  0500  hours); 
and  horizontal  tow  type  (surface  vs.  near-bottom). 
Data  from  the  December  cruise  were  not  included 
as  only  the  A  transect  was  completed  due  to  ad- 
verse weather  conditions. 

Two  methods  of  current  estimates  were  utilized 
(following  Shaw  et  al.  1985b):  1)  instantaneous 
current  profiles  taken  at  each  station  and 
2)  continuous  surface  and  near-bottom  current 


■♦Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Services,  NOAA. 


meter  measurements  at  two  sites  (H  and  S;  Fig. 
1).  The  instantaneous  number  of  larvae  trans- 
ported on  each  transect  was  calculated  by  using 
the  equation  D  x  U  x  M  =  number  of  larvae  per 
meter  per  second  where  D  =  larva  density 
darvae/m')  from  either  oblique  tows  or  from  the 
mean  of  the  horizontal  tows  (i.e.,  average  of  sur- 
face and  near-bottom  catch  rates),  U  =  depth- 
averaged  water  velocity  (m/s)  determined  from 
instantaneous  current  meter  profiles  at  each  sta- 
tion, and  M  =  water  depth  (m)  at  each  station. 

Distribution  diagrams  and  length-frequency 
histograms  were  generated  for  each  cruise  for  the 
three  most  abundant  sciaenid  species.  Inspection 
of  these  data  along  with  current  measurements 
allowed  a  comparison  with  the  previously  men- 
tioned transport  hypothesis. 

RESULTS  AND  DISCUSSION 
Total  Sciaenids 

A  total  of  5,225  larval  sciaenids  accounted  for 
9.1%  of  the  fish  larvae  collected.  In  December 
through  February,  samples  were  dominated  by 
Atlantic  croaker,  Micropogonias  undulatus,  and 
spot,  Leiostomus  xanthuriis.  In  March  and  April 
samples  contained  mostly  sand  seatrout, 
Cynoscion  arenarius.  In  all,  six  species  of  sciaenid 
larvae  were  collected:  sand  seatrout  (N  =  4,100); 
Atlantic  croaker  {N  =  567);  spot  (A^  =  264);  black 
drum,  Pogonias  cromis  {N  =  68);  southern  king- 
fish,  Menticirrhus  americanus  (N  =  53);  and 
banded  drum  (A'^  =  13).  Additional  Menticirrhus, 
not  identifiable  to  species,  accounted  for  160  more 
specimens  (Table  1).  A  more  detailed  examina- 
tion of  the  data  on  the  three  most  abundant 
sciaenid  species  follows. 

Sand  seatrout, 
Cynoscion  arenarius 

A  total  of  4,100  sand  seatrout  larvae  was  col- 
lected making  it  the  most  abundant  sciaenid 
taken  during  the  study.  Larval  sand  seatrout  den- 
sities were  highest  in  April  (Table  1)  with  a  mean 
of  46.1  larvae/100  m"^;  mean  density  in  February 
and  March  was  0.3  and  2.9/100  m'^,  respectively, 
and  1  larva  was  collected  in  January.  Larvae 
were  distributed  mostly  over  the  midshelf  in 
February  but  highest  concentrations  were  later 
found  inshore  and  towards  the  east  (Fig.  1).  Over 
the  course  of  study,  larvae  were  found  in  temper- 
atures and  salinities  ranging  from  14°  to  21°C  and 


130 


COWAN  AND  SHAW:  LARVAL  SCIAENIDS  COLLECTED  OFF  WEST  LOUISIANA 


Figure  l. — Density  distribution  of  sand  seatrout,  Cynoscion  arenarius,  larvae  by  month, 
February-April  1982.  Densities  are  as  follows:  o  =  0:  •  >0-10;  •  >10-50;  •  >50-99;  • 
>99-250;  0  250  100  m3  of  water  filtered  from  all  plankton  tow  types.  Also  shown  is  the 
station  sampling  grid  with  moored  current  meter  sites  (H  and  S)  and  selected  iso- 
baths.    SP  =  Sabine  Pass,  CR  =  Calcasieu  River,  and  MR  =  Mermentau  River. 


131 


KISHKRY  BULLETIN:  VOL,  86,  NO.  1 


Table  1. — Total  number,  months  of  occurrence  and  monthly  density  of 
sciaenid  larvae  collected  in  west  Louisiana  shelf  waters  from  December  1981 
to  April  1982. 


Months  of 

occurrence  and 

Total 
number 

density  (No. /1 00 

m3) 

Taxa 

Dec. 

Jan. 

Feb. 

IVIar. 

Apr. 

Cynoscion  arenarius 

4,100 

— 

1  larva 

0.3 

2.9 

46.1 

Micropogonias  undulatus 

567 

20 

2.2 

32 

22 

02 

Leiostomus  xanthurus 

264 

7.8 

1.3 

0.9 

0.1 

— 

Menticirrhus  sp. 

160 

— 

— 

— 

— 

19 

Pogonias  cromis 

68 

— 

1  larva 

0.5 

0.2 

0.2 

Menticirrhus  americanus 

53 

— 

— 

— 

— 

0.6 

Larimus  fasciatus 

13 

— 

— 

— 

— 

0.2 

from  15  to  36  ppt  (Table  2)  and  at  station  depths 
ranging  from  5  to  70  m,  but  most  were  collected 
inside  the  18  m  isobath.  Larval  sand  seatrout 
density  increased  in  April  with  many  stations  ex- 
hibiting densities  in  excess  of  250  larvae/100  m'^; 
the  larvae  appeared  to  be  associated  with  a 
freshet  of  water  on  the  shelf,  probably  issuing 
from  the  Atchafalaya  River  east  of  the  study  area 
(Shaw  et  al.  1985a).  The  presence  of  riverine 
runoff  on  the  shelf,  which  was  most  evident  in 


March  and  April  1982,  caused  the  development  of 
an  oceanic  salinity  front  referred  to  as  the  coastal 
boundary  layer,  10-35  km  from  shore  (Wiseman 
et  al.  1987). 

Observed  spawning  seasonality  and  location 
for  sand  seatrout  are  in  part  consistent  with  pre- 
viously published  information  (Shlossman  and 
Chittenden  1981  for  review).  The  presence  of  a  4 
mm  TL  larva  in  January  indicates  some  spawn- 
ing had  taken  place  at  least  2  months  earlier  than 


Table  2. — l^onthly  data  summaries  at  time  of  capture  for  three  sciaenid  larvae 
(Cynoscion  arenarius,  Micropogonias  undulatus.  and  Leiostomus  xanthurus)  col- 
lected in  west  Louisiana  shelf  waters  from  December  1981  to  April  1982. 


Total 
Species'month      number 

Length  range 
(mm  TL) 

Temperature 
range  (  C) 

Salinity 
range 

(ppt) 

Depth 

range 

(m) 

Cynoscion  arenarius 
January                      1 

4 

14 

35 

18 

February                  20 

2.5-4.5 
(mode  =  2-3) 

14-20 

34-36 

15-70 

March                     203 

1.5-10.5 
(mode  =  2-3) 

14-18 

25-36 

5-40 

April                     3,876 

1.5-20.5 
(mode  =  2-3) 

20-21 

15-36 

5-70 

Micropogonias  undulatus 
December                28 

2.5-10.5 
(mode  =  3-4) 

12-20 

30-36 

10-65 

January                  158 

2.5-10.5 
(mode  =  4-5) 

10-18 

30-36 

5-70 

February                221 

2.5-17.5 
(mode  =  14-15) 

11-17 

27-36 

5-40 

March                     144 

2.5-19.5 
(mode  =14-15) 

14-20 

25-36 

5-115 

April                          16 

11.5-18.5 
(mode=  17-18) 

20.5 

22 

7 

Leiostomus  xanthurus 
December             110 

2.5-7.5 
(mode  =  3-4) 

14-18 

30-36 

16-65 

January                   89 

2.5-13.5 
(mode  =  4-5) 

10-18 

30-36 

5-40 

February                 62 

3.5-15.5 
(mode=  12-13) 

10-17 

28-36 

5-40 

March                         3 

3.5-16.5 

14-17.5 

26-36 

11-40 

132 


COWAN  AND  SHAW:  LARVAL  SCIAENIDS  COLLECTED  OFF  WEST  LOUISIANA 


previously  reported.  Monthly  length-frequency 
data  for  sand  seatrout  show  that  larvae  as  large 
as  11  mm  TL  were  first  present  in  March  samples 
(Fig.  2A).  Based  on  the  estimated  growth  rate 
determined  for  sand  seatrout  (Cowan  1985;  Shaw 
et  al.,  in  press),  an  11  mm  larva  could  be  as  old  as 
65  days;  this  further  supports  January  spawning. 
Sand  seatrout  are  reported  to  spawn  from  March 
to  August,  during  two  discrete  periods — one  in 
March-May,  the  other  August-September,  with 
little  spawning  between  the  two  peak  periods 
(Hoese  1965;  Daniels  1977;  Shlossman  and  Chit- 
tenden 1981). 

An  examination  of  distribution  and  length- 
frequency  data  (Figs.  1,  2A)  suggests  that  most 
spawning  initially  took  place  in  midshelf  to  off- 
shore waters  at  depths  ranging  from  15  to  80  m  or 
to  about  175  km  from  shore.  As  the  season  pro- 
gressed into  March  and  April,  spawning  location, 
as  determined  by  the  presence  of  larvae  <3.0  mm 
TL,  was  more  inshore  (5-18  m)  with  few  small 
larvae  occurring  at  depths  >25  m. 

Other  than  the  indication  that  spawning  may 
move  from  offshore  to  inshore  waters  as  the  sea- 
son progresses,  this  spatial  information  agrees 
with  the  limited  life  history  data  available  on 
sand  seatrout.  Most  spawning  has  been  shown  to 
occur  in  the  shallow  waters  of  the  Gulf  of  Mexico, 
primarily  between  7  and  15  m  in  depth  (Gunter 
1945;  Moffet  et  al.  1979;  Shlossman  and  Chitten- 
den 1981).  Running  ripe  C.  arenarius  have  been 
captured  in  deepter  waters  (70-90  m)  in  February 
and  March,  but  no  spawning  was  indicated 
(Franks  et  al.  1972;  Perry  1979). 

In  a  four-way  ANOVA  employed  to  determine 
patterns  of  larval  sand  seatrout  density  and  dis- 
tribution, month  was  a  highly  significant  main 
effect  (P  <  0.01;  Table  3)  reflecting  spawning  sea- 
sonality and  the  magnitude  of  the  density  in- 
crease in  April.  The  test  for  interaction  between 
month  and  day-night  was  employed  to  determine 
if  daytime  gear  avoidance  was  evident  as  size  and 
mobility  of  larva  increased.  Most  sand  seatrout 
collected,  however,  were  small  and  no  clear 
monthly  modal  increase  in  larva  size  was  evident 
(Fig.  2A).  The  significant  interaction  (P  <0.01) 
was  probably  due  to  an  increased  catch  in  oblique 
tows  at  night  as  the  season  progressed  (0.0  in 
January,  64.9/100  m"^  in  April).  The  significant 
interaction  between  month  and  depth  group  and 
the  highly  significant  depth  group  main  effect 
(P  <  0.01)  represents  the  shift  in  larva  concentra- 
tion from  midshelf  early  in  the  study,  to  a  more 
coastal  distribution  in  March  and  April  (Fig.  1). 


Mean  larva  density  was  greatest  in  depth  group  1 
(23.7/100  m'^)  followed  by  depth  groups  2,  3,  and  4 
(12.7,  9.2,  and  0.3/100  m^,  respectively).  The  third 
main  effect,  day  vs.  night  tows,  was  highly  sig- 
nificant (P  <  0.01);  many  more  sand  seatrout 
larvae  were  collected  at  night  (averge  catch  rates 
in  all  night  (74)  tows  combined  =  21.6/100  m"^ 
vs.  day  (113)  tows  =  7.4/100  m^).  Highest  night- 
time catches  occurred  in  oblique  (49)  tows  (26.9/ 
100  m'^)  while  the  day-oblique-catch  rate  aver- 
aged 7.6/100  m'^  in  76  tows.  Overall,  average 
catch  rate  was  highest  in  oblique  (125)  tows 
(14.6  larvae/100  m-^),  followed  by  surface  (31) 
tows  (9.2/100  m^),  and  then  bottom  (1.9/100  m^; 
31  tows).  Intrepretation  of  the  data  suggests  that 


Table  3. — Summary  data  from  four-way  analysis  of  variance  done 
on  logio  transformed  [(larvae  100  m3)  +  1]  data  from  ichthiyoplank- 
ton  samples  collected  from  January  to  April  1982.  Tfie  results  are 
for  A.  Cynoscion  arenarius.  B,  Micropogonias  undulatus,  and  C. 
Leiostomus  xanthurus.  The  four  main  effects  tested  were  months 
(Jan. -Apr.),  station  depth  group  (d.g.  1  <  10  m,  10  m  <  d.g.  2  <  14 
m,  14  m  <  d.g.  3  <  24  m  and  d.g.  >  24  m),  day  -  night  (2000 
hours  s  night  <  0500  hours)  and  horizontal  tow  type  (surface  vs. 
near-bottom). 


Source 


df 


PR 


r2  =  0.75 


A.  Dependent  variable: 

Log  10  [(Cynoscion  arenarius  1^00  m3)  +  1] 

Model  21  O.OOOr* 

r^^onth  3  0.0001" 

Depth  group  3  0.0001" 

Day-night  1  0.0026" 

Horizontal  tow  type  1  0.2574  (NS) 

IVIonth  vs.  Day-night  3  0.0001" 

l\/lonth  vs.  Depth  group  9  0.0001" 

Day-night  vs.  Tow  type  1  0.4180  (NS) 

Error  177 

Corrected  Total  1 98 


B.  Dependent  variable: 

Logio  [(Micropogonias  undulatusHOO  m3)  +  1] 

Model  21  0.0001"  r2  =  o.63 

Month  3  0.0045" 

Depth  group  3  0.3551  (NS) 

Day-night  1  0.0001" 

Horizontal  tow  type  1  0.4448  (NS) 

Month  vs.  Day-night  3  0.2168  (NS) 

Month  vs.  Depth  group  9  0.0001" 

Day-night  vs.  Tow  type  1  0.1288  (NS) 

Error  177 

Corrected  Total  1 98 

C.  Dependent  variable: 

Logio  [(Leiostomus  xanthu^us/^00  m3)  +  1] 

Model  21  0.0001"  /-s  =  0.51 

Month  3  0.0001" 

Depth  group  3  0.0033" 

Day-night  1  0.1875  (NS) 

Horizontal  tow  type  1  0.3216  (NS) 

Month  vs.  Day-night  3  0.2138  (NS) 

Month  vs.  Depth  group  9  0.0001" 

Day-night  vs.  Tow  type  1  0.0324* 

Error  177 

Corrected  Total 198 

*  =  Statistically  significant  (P  <  0.05). 
"  =  Highly  significant  (P  <  0.01). 
(NS)  =  Not  significant. 


133 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


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134 


COWAN  AND  SHAW:  LARVAL  SCIAENIDS  COLLECTED  OPT  WEST  LOUISIANA 


sand    seatrout    larvae    v^'ere    somewhat    surface 
oriented. 

Atlantic  croaker, 
Micropogon ias  undiilatus 

The  second  most  abundant  sciaenid  taken  was 
Atlantic  croaker  (A'^  =  567).  Larval  Atlantic 
croaker  density  was  greatest  in  February  at  3.2/ 
100  m'^,  but  density  was  relatively  constant  from 
December  through  March  (Table  1).  Mean  densi- 
ties for  December,  January,  March,  and  April 
were  2.0,  2.2,  2.2,  and  0.2/100  m^,  respectively. 
Atlantic  croaker  was  the  only  sciaenid  collected 
in  all  months  of  the  study.  Their  overall  distribu- 
tion (all  sizes  combined)  was  generally  uniform 
over  most  of  the  shelf  (Fig.  3)  except  in  March  and 
April  when  they  were  more  often  found  inshore. 
Recently  spawned  larvae  (<3.0  mm  TL)  were  also 
collected  over  much  of  the  shelf  at  station  depths 
ranging  from  15  to  115  m  or  from  about  20  to  200 
km  from  shore.  However,  most  small  larvae  were 
collected  near  midshelf  about  65-125  km  from 
shore.  In  December  and  January  the  majority  of 
the  larvae  were  small.  By  April,  no  recently 
spawned  individuals  were  collected  (Fig.  2B).  For 
the  study  overall,  larvae  were  found  in  salinities 
and  temperatures  ranging  from  22  to  36  ppt  and 
from  10   to  20.5°C  (Table  2). 

Spawning  by  Atlantic  croaker  in  Gulf  of  Mexico 
waters  is  reported  to  occur  from  September  to 
March,  with  a  distinct  peak  in  October  (Hoese 
1965;  Sabins  and  Truesdale  1974;  White  and 
Chittenden  1977;  Benson  1982)  and  to  occur  pri- 
marily offshore  over  a  wide  area  (Pearson  1929; 
Hildebrand  and  Cable  1930;  Wallace  1940;  Haven 
1957;  Bearden  1964;  Hoese  1965;  Nelson  1967). 
Atlantic  croaker  larvae,  however,  have  been 
taken  on  the  outer  continental  shelf  off  Texas 
from  September  to  May  (Finucane  et  al.  1979). 

As  with  sand  seatrout,  a  four-way  ANOVA  was 
used  to  determine  patterns  in  larva  density  and 
distribution  (Table  3).  Larval  Atlantic  croaker 
density  by  month  was  a  highly  significant  main 
effect  (P  <0.01).  Densities  at  the  end  of  their 
spawning  period  were  low,  increased  only  slightly 
in  February,  and  then  dropped  off  by  April  (Table 
1).  The  interaction  between  month  and  day-night 
was  not  significant.  The  highly  significant  inter- 
action between  month  and  depth  group  was  not 
surprising.  Larvae  were  in  more  offshore  waters 
early  in  the  study  while  later  becoming  more 
abundant  inshore  (Fig.  3).  However,  as  a  main 
effect,  depth  gi'oup  was  not  significant.  Larval 


Atlantic  croaker  mean  densities  for  depth  groups 
1  through  4  were  3.9,  0.8,  0.4,  and  0.7/100  m^, 
respectively.  Day-night,  as  a  main  effect,  was 
highly  significant  (P  <  0.01).  Larval  Atlantic 
croaker  density  was  over  5  times  higher  at  night 
(all  tow  types  combined)  than  during  the  day  (3.7 
vs.  0.7/100  m'^).  However,  the  interaction  between 
day-night  and  horizontal  tow  type  was  not  signif- 
icant. The  fourth  main  effect  tested,  horizontal 
tow  type,  was  not  significant.  Average  catch  rates 
at  the  surface  and  near-bottom  were  similar  (1.0 
and  1.8/100  m'\  respectively). 

Spot,  Leiostomiis  xcmthurus 

The  third  most  abundant  sciaenid  collected  was 
spot  (A^  =  264).  Density  of  spot  larvae  was  highest 
in  December  at  7.8  larvae/100  m'^  (Table  1).  How- 
ever, the  high  December  value  must  be  viewed 
with  a  consideration  of  the  abbreviated  cruise 
track  for  that  month  and  the  resultant  reduction 
in  spatial  coverage.  Mean  densities  for  January  to 
March  were  1.3,  0.9,  and  0.1/100  m"^,  respectively. 
No  spot  larvae  were  collected  in  April.  In  general, 
larva  density  was  low  and  their  distribution  was 
uniform  over  the  shelf  out  to  the  40  m  isobath, 
about  130  km  offshore  (Fig.  4).  Spot  were  col- 
lected in  temperatures  and  salinities  ranging 
from  10°  to  18°C  and  from  26  to  36  ppt  (Table  2), 
and  at  stations  with  depths  ranging  from  5  to  65 
m. 

Larvae  >7  mm  TL  in  our  mid-December  (Fig. 
2C)  collections  and  small  larvae  (<3.0  mm  TL)  in 
all  but  the  last  cruise  indicate  that  spawning 
probably  began  by  at  least  November  and  contin- 
ued through  March.  Spawning  occurred  from 
near  midshelf  (about  65  km)  out  to  175  km  from 
the  coast.  Data  presented  here  partly  concur  with 
previously  published  information  on  spot  spawn- 
ing periodicity.  In  the  northern  Gulf,  spawning 
reportedly  occurs  from  late  December  to  March, 
peaking  in  January,  and  takes  place  well  offshore 
in  moderately  deep  water  (Pearson  1929;  Kilby 
1955;  Townsend  1956;  Dawson  1958;  Springer 
and  Woodburn  1960;  Pacheco  1962;  Nelson  1967; 
Joseph  1972;  Music  1974;  Sabins  and  Truesdale 
1974). 

A  four-way  ANOVA  indicated  that  month,  as  a 
main  effect  for  spot  larvae,  was  highly  significant 
(P  <  0.01 ),  which  probably  reflects  the  decreasing 
catch  rates  seen  from  January  to  March  (Table  3). 
The  interaction  between  month  and  depth  group 
was  also  highly  significant  (P  <  0.01)  as  was 
depth    group    as    a    main    effect.    Larval    spot 


135 


FISHERY  BULLETIN   VOL  86.  N(J    1 


DEC 


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Figure  3— Density  distribution  of  Atlantic  croaker,  Micropogonias  undulatus,  larvae  by  month,  December  1981— April  1982.  Densities  are 
as  follows:  o  =  0;  •  >0-10;  •  >  10-50;  •  >50;-99;  •  >99-250;  #  >250/100  m3  of  water  filtered  from  all  plankton  tow  types. 


136 


COWAN  AND  SHAW:  LARVAL  SCIAENIDS  COLLECTED  OFF  WEST  LOUISIANA 


i.Tr'if" 

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MAR 

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Figure  4 — Density  distribution  of  spot,  Leiostomus  xanthurus.  larvae  by  month,  December 
1981-Marcti  1982.  Densities  are  as  follows:  o  =  0;  ■  >0-10;  •  >  10-50;  •  >50-99;  •  >99- 
250;  9  >250/100  m3  of  water  filtered  from  all  plankton  tow  types. 


137 


FISHERY  BULLETIN:  VOL.  86,  NO.  1 


densities  were  higher  offshore  in  the  early  part  of 
the  study  and  then  greater  inshore  during  Febru- 
ary and  March.  Depth  group  4  had  the  highest 
mean  density  (1.3/100  m-'^)  followed  by  depth 
groups  1  and  3  (0.4/100  m'^  each)  and  depth 
group  2  (0.1/100  m^).  Day-night  comparisons 
proved  nonsignificant  as  a  main  effect  for  spot 
larvae.  The  average  catch  rates  for  all  day  and 
night  tows  were  identical  (0.5/100  m^).  However, 
the  interaction  between  day-night  and  horizontal 
tow  type  was  statistically  significant  (P  <  0.05). 
In  this  case,  vertical  migration  and  stratification 
may  be  indicated.  Average  catch  rate  of  spot  lar- 
vae during  the  day  at  the  surface  was  0.1/100  m^, 
while  near  the  bottom  it  averaged  1.6.  Con- 
versely, nighttime  average  catch  rate  at  the  sur- 
face was  1.0/100  m-^  while  the  near-bottom  rate 
averaged  0.04.  These  are  very  low  densities  but 
the  vertical  differences  are  an  order  of  magnitude 
and  their  reversing  pattern  suggests  that  spot 
larvae  were  stratified  and  undergoing  diel  verti- 
cal migration.  Daytime  bottom  and  nighttime 
surface  average  catch  rates  were  higher  than  for 
oblique  (O)  tows  (day,  0  =  0.45/100  m^;  night, 
O  =  0.49/100  m^).  Average  catch  rates  for  surface 
and  near-bottom  tows,  regardless  of  time  of  day, 
were  0.5  and  0.9/100  m\  respectively. 

As  previously  mentioned,  other  larval  sciaenid 
species  (i.e.,  black  drum,  banded  drum,  southern 
kingfish)  were  collected  during  these  cruises. 
However,  relatively  few  individuals  were  cap- 
tured (Table  1),  making  information  on  their  dis- 
tribution inconclusive. 

TRANSPORT  ANALYSIS 

Alongshore  advection  within  and  just  outside 
the  coastal  boundary  layer  in  the  northwestern 
Gulf  of  Mexico  has  been  hypothesized  as  the 
major  mechanism  transporting  gulf  menhaden 
larvae  to  the  estuaries  in  western  Louisiana, 
rather  than  across-shelf  transport  from  directly 
offshore.  In  contrast,  such  direct  across-shelf 
transport  has  been  demonstrated  for  sciaenids 
and  other  species  along  the  U.S.  mid-Atlantic 
coast  (Nelson  et  al.  1976;  Norcross  and  Austin 
1981;  Miller  et  al.  1984).  The  data  collected  for 
sciaenid  larvae  (all  species  combined)  were  exam- 
ined in  light  of  this  Gulf  hypothesis.  Larval 
sciaenid  densities  were  less  than  those  for  gulf 
menhaden  but  similarities  in  distribution  were 
evident.  Both  larval  sciaenid  and  gulf  menhaden 
densities  were  highest  at  midshelf  early  in  the 
study.  By  March  and  April  the  highest  densities 


were  found  towards  the  east  and  inshore  and  were 
associated  with  a  horizontal  density  front  (coastal 
boundary  layer)  caused  by  an  intrusion  of  fresher 
water  onto  the  shelf. 

The  along-transect  length-frequency  patterns 
exhibited  by  larval  sciaenids  and  gulf  menhaden 
were  also  similar.  No  apparent  increase  in  size 
was  seen  until  gulf  menhaden  larvae  were  on  the 
inner  shelf  or  sciaenids  were  on  the  mid-  to  inner 
shelf.  The  expected  pattern  of  a  gradual  increase 
in  larva  size  from  offshore  to  inshore,  which 
would  result  if  there  were  significant  across-shelf 
(south  to  north)  transport,  was  not  evident  in  ei- 
ther data  set.  Off  the  North  Carolina  coast,  War- 
len  (1981)  and  Miller  et  at.  (1984)  showed  that 
ages  and  lengths  of  both  spot  and  Atlantic 
croaker  larvae  increased  systematically  toward 
shore  in  an  area  where  winter  water  currents  fa- 
vored across-shelf  (west  to  east)  transport. 

During  the  winter  of  1981-82,  moored  current 
meter  data  from  sites  H  and  S  (Fig.  1)  indicated 
that  flow  was  directed  primarily  alongshore  in 
the  west-northwest  direction.  Several  researchers 
have  reviewed  the  circulation  in  the  northwest- 
ern Gulf  (Nowlin  1971;  Kelly  et  al.  1982;  Crout 
1983).  It  was  not  until  Cochrane  and  Kelly  (1986) 
developed  their  comprehensive  circulation  model 
for  the  Louisiana-Texas  continental  shelf,  how- 
ever, that  the  ocean  current  patterns,  which  led  to 
the  hypothesized  larva  transport  model,  were 
fully  documented.  Flow  in  nearshore  coastal 
waters  is  westward  all  year  except  in  summer 
when  it  usually  reverses,  while  farther  offshore 
flow  is  eastward  all  year  (Cochrane  and  Kelly 
1986). 

To  quantify  transport,  larval  sciaenid  densities 
were  combined  with  the  vertically  averaged,  in- 
stantaneous current  measurements.  The  resul- 
tant curves  present  the  number  of  larvae  trans- 
ported per  unit  time  at  each  station  (Fig.  5).  Early 
in  the  winter,  highest  sciaenid  larva  transport 
(mostly  Atlantic  croaker  and  spot)  was  located 
midshelf.  Later  (March  and  April),  transport  val- 
ues were  higher  inshore  and  reflected  the  in- 
crease in  larval  sciaenid  density  (primarily  sand 
seatrout).  Overall,  larva  transport  was  primarily 
westward  and  ranged  from  about  0.05  to  4.0  lar- 
vae/meter per  second. 

Although  the  oceanographic  data  collected 
were  insufficient  to  precisely  quantify  onshore 
transport  rates,  an  estimate  was  obtained  by 
using  the  mean  current  vectors  from  the  near  sur- 
face meter  at  site  H  (Fig.  1)  from  24  January  to  12 
May  1982  (14.33  cm/second  alongshore  westward 


138 


COWAN  AND  SHAW   LARVAL  SCIAENIDS  COLLECTED  OFF  WEST  LOUISIANA 


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139 


FISHERY  BULLKTIN:  VOL.  86,  NO.  1 


and  1.75  cm/second  shoreward).  Based  on  that  av- 
erage shoreward  advection  rate  we  calculated 
that  larvae  could  be  passively  transported  98  km 
in  the  onshore  direction  in  65  days.  Examination 
of  length  frequency  and  age  at  capture  data 
(Cowan,  in  press)  suggest  that  larval  Atlantic 
croaker  arrive  in  nearshore  coastal  waters,  on  the 
average,  60-90  days  after  hatching.  Most  small, 
newly  hatched  Atlantic  croaker  larvae  were  col- 
lected approximately  100  km  offshore.  Although 
the  onshore  component  of  advective  transport  is 
small  in  comparison  with  the  average  alongshore 
component,  the  estimate  of  shoreward  transport 
rate  is  reasonable  when  age  of  larvae  is  consid- 
ered. 

CONCLUSIONS- 
RECRUITMENT  IMPLICATIONS 

Across-shelf  transport  appears  to  be  an  order  of 
magnitude  smaller  than  alongshore  advective 
transport  in  the  northwestern  Gulf  shelf  waters 
during  winter  and  spring.  Sciaenid  larvae  col- 
lected offshore  in  the  study  area,  at  midshelf  and 
beyond,  would  probably  be  lost  to  the  estuaries  in 
western  Louisiana.  Those  offshore  larvae  would 
be  transported  towards  north  Texas  estuaries,  or 
back  to  the  east  if  they  were  far  enough  offshore, 
since  there  is  evidence  for  an  easterly  counter 
current  (Kelly  et  al.  1982;  Cochrane  and  Kelly 
1986). 

Sand  seatrout  are  common  in  west  Louisiana 
estuaries  (Herke  et  al.  1984)  and  were  the  most 
abundant  sciaenid  larvae  collected  in  this  study. 
They  spawn,  in  general,  more  inshore  (Fig.  1) 
than  Atlantic  croaker  or  spot.  Conceivably,  many 
of  the  sand  seatrout  collected  in  the  study  area 
inside  the  coastal  boundary  layer  on  the  inner 
shelf  would  have  recruited  to  Louisiana  estuaries. 

Still,  large  numbers  of  postlarval  sciaenids, 
other  than  sand  seatrout,  enter  the  estuaries  in 
west  Louisiana  each  year.  Atlantic  croaker  and 
spot  were  the  3rd  and  21st  most  abundant  fish,  of 
117  species  collected,  in  the  Calcasieu  River 
Basin,  the  largest  estuary  in  west  Louisiana 
(Herke  et  al.  1984).  However,  the  distribution  and 
transport  analyses  indicate  that  most  spot  and 
Atlantic  croaker  larvae  directly  offshore  at  least 
would  not  have  recruited  to  the  Calcasieu  Basin. 
Interpretation  of  these  data  suggests  that  the 
source  of  the  sciaenid  postlarvae  shown  to  season- 
ally recruit  to  the  Calcasieu  estuaries  must  be 
east  of  the  study  area.  Interpretation  of  data  sum- 
marizing several  years  of  northern  Gulf  shrimp- 


trawl  collections  suggests  that,  during  the  spawn- 
ing season,  a  sufficient  concentration  of  adults 
exists  to  the  east  of  our  study  area  (Darnell  et  al. 
1983). 

In  the  fall  and  winter,  high  concentrations  of 
Atlantic  croaker,  and  to  a  lesser  extent  spot,  have 
been  found  between  the  20  and  40  m  depth  con- 
tours (65  and  125  km  offshore)  in  an  area  east  of 
the  sampling  grid.  The  area  and  timing  of  high 
concentration  coincides  with  the  reported  spawn- 
ing location  and  period  for  both  Atlantic  croaker 
and  spot.  If  indeed  this  concentration  represents  a 
spawning  distribution,  it  would  help  explain  why 
so  few  Atlantic  croaker  and  spot  larvae,  relative 
to  the  number  of  juveniles  seen  in  estuaries,  were 
collected  in  this  and  previous  Gulf  of  Mexico 
ichthyoplankton  studies.  Unless  collections  were 
made  in  or  near  the  spawning  area,  single-station 
densities  would  be  low  as  eggs  and  larvae  were 
dispersed.  Furthermore,  this  study  demonstrates 
the  need  for  understanding  both  biological  (verti- 
cal distribution,  age  and  growth,  behavior,  etc.  of 
larvae)  and  physical  (ocean  currents,  estuarine- 
shelf  exchange,  etc.)  processes  which  may  influ- 
ence estuarine  recruitment. 

ACKNOWLEDGMENTS 

We  would  like  to  thank  Wm.  Wiseman, 
L.  Rouse,  Jr.,  and  S.  Dinnel  for  their  discussion 
and  assistance  in  interpretation  of  the  physical 
oceanographic  data.  We  gratefully  acknowledge 
E.  Turner,  J.  Geaghan,  M.  Fitzimmons, 
B.  Thompson,  and  W.  Herke  for  critically  review- 
ing this  manuscript. 

Funding  was  provided  by  a  Louisiana  Depart- 
ment of  Wildlife  and  Fisheries,  U.S.  Department 
of  Energy  and  LSU  Center  for  Wetland  Resources 
cooperative  agreement  No.  DE-FC96-81P010313. 
Additional  support  was  given  by  the  Department 
of  Marine  Sciences,  Louisiana  Sea  Grant  College 
Program  and  the  Coastal  Fisheries  Institute. 

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1980.  An  evolution  of  marks  on  hardparts  for  age 
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Barger,  L  E  ,  and  M.  L.  Williams. 

1980.  A  summarization  and  discussion  of  age  and  growth 
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Dep.  Nat.  Resour.,  Coastal  Fish.  OfT.  Contrib.  Ser.  28, 

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Nelson.  W  R 

1967.     Studies    on    the    croaker,    Micropogon    undulatus 

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Tuscaloosa,  85  p. 
Nelson,  W  R  ,  N  C  Ingham,  and  W  E  Schaaf 

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NoRCRoss.  B  L  AND  H  M  Austin 

1981.     Climate  scale  environmental  factors  affecting  year 

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Rep.  No.  110,  78  p. 
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1971.  Water  masses  and  general  circulation  of  the  Gulf  of 
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PACHECO,  a.  L 

1962.     Age  and  growth  of  spot  in  lower  Chesapeake  Bay, 
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Pearson, J  C 

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Perry,  A 

1979.  Fish  of  Timbalier  Bay  and  offshore  Louisiana 
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POWLES,  H  ,  AND  B  W  STENDER 

1978.     Taxonomic  data  on  the  early  life  history  stages  of 
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R  E   CONDREY 

1985b.     Transport   of  larval    gulf  menhaden   Brevoortia 
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Shlossman,  P  a  ,  AND  M  E  Chittenden,  Jr. 

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Suttkus,  R.  D. 

1955.  Seasonal  movements  and  growth  of  the  Atlantic 
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Wallace,  D  H 

1940.     Sexual   development  of  the  croaker,   Micropogon 
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1981.     Age  and  growth  of  larvae  and  spawning  time  of 
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White,  M.  L.,  and  M  E  Chittenden 

1977.     Age  determination,   reproduction   and   population 
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142 


BEHAVIOR  OF  SOUTHERN  RIGHT  WHALES,  EUBALAENA  AUSTRALIS , 
FEEDING  ON  THE  ANTARCTIC  KRILL,  EUPHAUSIA  SUPERBA 

William  M  Hamner,^  Gregory  S.  Stone,^  and  Bryan  S.  Obst^ 

ABSTRACT 

Southern  right  whales,  Eubalaena  australis,  were  observed  in  3  successive  years  on  the  western  side 
of  the  Antarctic  Peninsula.  These  whales  do  not  appear  to  be  from  the  well-documented  Valdes, 
Argentina  population.  The  whales  we  observed  were  feeding  on  Antarctic  krill,  Euphausia  superba. 
When  krill  were  at  the  surface  right  whales  surface-skimmed  at  high  speed,  with  upper  jaw  lifted 
above  the  water  surface.  In  heavy  weather  one  right  whale  "tail-sailed"  at  slow  speed,  with  head 
submerged  and  apparently  feeding.  When  krill  were  organized  in  subsurface  schools,  right  whales 
engaged  in  subsurface  feeding,  diving  repeatedly  in  place,  apparently  working  a  given  school.  One 
whale  swam  directionally  to  the  only  known  large  school  of  krill  in  the  area  and  fed  intensively, 
rested  on  the  surface,  then  began  a  second  feeding  bout.  Whales  hyperventilated,  false  fluked,  and 
fluked  prior  to  feeding  dives.  These  are  the  first  detailed  observations  of  feeding  behavior  of  right 
whales  in  Antarctic  waters  and  suggest  that  coastal  Antarctica  may  have  been  (and  may  become 
again)  a  regular  part  of  the  summer  feeding  range  of  the  species. 


Right  whales  are  among  the  rarest  of  the  great 
whales,  having  been  hunted  almost  to  extinction 
a  century  ago.  The  southern  right  whale,  Eubal- 
aena australis,  has  been  studied  only  recently 
and  only  during  the  austral  winter  when  the 
whales  aggregate  inshore  to  bear  calves  and  to 
mate  (Clarke  1965;  Payne  1976,  1986;  Best  1981; 
Aguayo  and  Torres  1986).  Because  right  whales 
were  commercially  extinct  by  the  mid-1850's, 
very  little  has  been  learned  about  their  ecology 
from  the  20th  century  whaling  industry.  Informa- 
tion on  feeding,  migration,  stock  structure,  and 
reproductive  biology  was  collected  for  most  other 
Antarctic  mysticete  whales  during  the  heyday  of 
whaling  in  this  century  (e.g..  Mackintosh  1965; 
International  Whaling  Commission  reports  1964- 
present).  The  small  number  of  surviving  right 
whales  (ca.  29c  of  historic  levels  in  the  Southern 
Hemisphere,  Breiwick  and  Braham  1984)  has 
made  it  difficult  for  researchers  to  study  this  spe- 
cies. Our  current  understanding  of  its  feeding  and 
calving  ecology  in  the  Southern  Hemisphere 
comes  from  observations  made  primarily  off 
Peninsula  Valdes,  Argentina  (Payne  1986). 

In  Antarctic  waters  south  of  lat.  60°S,  more 
than  30  sightings  of  right  whales  have  been  re- 
ported previously  (Berzin  and  Vladimirov  1981; 
Goodall  and  Galeazzi  1986;  Ohsumi  and  Kasa- 


iDepartment  of  Biology,  University  of  California,  Los  Ange- 
les, CA  90024. 
2College  of  the  Atlantic,  Bar  Harbor,  ME  04609. 


Manuscript  accepted  September  1987. 
FISHERY  BULLETIN:  VOL.  86.  NO.  1.  1988. 


matsu  1986).  Most  were  in  the  vicinity  of  the 
South  Orkney  Islands,  9  were  near  the  Antarctic 
Peninsula,  6  were  in  the  Pacific  sector  of  the 
Antarctic,  and  2  were  south  of  Africa.  We  have 
observed  southern  right  whales  during  3  consecu- 
tive austral  summers  near  the  western  shore  of 
the  Antarctic  Peninsula,  and  the  sightings  re- 
ported herein  and  in  Stone  and  Hamner  (in  press) 
are  the  most  southerly  as  well  as  the  most  de- 
tailed observations. 

We  sighted  one  individual  during  the  1983- 
84  austral  summer  (also  recorded  by  Captain 
P.  Lenie  in  the  log  of  the  RV  Hero ;  Goodall 
and  Galeazzi  1986),  two  individuals  in  1984-85, 
and  eight  in  1985-86,  four  of  which  we  indi- 
vidually identified.  In  1986  a  fortunate  combina- 
tion of  fair  weather  and  available  ship  time 
permitted  us  to  make  the  first  extended  uninter- 
rupted observations  on  the  behavior  of  right 
whales  feeding  on  the  Antarctic  krill,  Euphausia 
superba. 


METHODS 

Right  whales  are  distinguished  by  the  absence 
of  a  dorsal  fin  and  regions  of  cornified  skin  (cal- 
losities) on  the  head,  jaws,  and  chin.  Individual 
whales  were  identified  by  standard  methods, 
using  video  tapes  and  telephotographs  of  head 
callosities  and  scarring  patterns  on  the  head  and 
back  (Payne  et  al.  1983;  Kraus  et  al.  1986).  When 
possible,  we  dropped  large  disks  of  plywood  of 

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FISHERY  BULLP:TIN:  VOL  86,  NO   1 


known  diameter  next  to  the  whale  and  included  it 
in  the  photograph  to  measure  whale  size. 

Behavioral  patterns  were  observed  from  the 
ship's  bridge  and  recorded  on  a  portable  computer 
as  they  occurred,  using  a  program  which  timed 
entries  of  encoded  behaviors  or  coments  to  the 
nearest  second.  Krill  schools  were  recorded  on  a 
Simrad  echosounder  and  the  identity  of  the  or- 
ganisms causing  the  echograms  was  verified  by 
net  samples  taken  with  an  Isaacs-Kidd  midwater 
trawl  and  by  divers'  visual  confirmation  of  krill 
schools  near  the  surface. 

RESULTS 

7  January  1984:  At  0500  hour,  north  of  Cape 
Murray  near  Two  Hummock  Island,  one  right 
whale  was  feeding  at  the  surface  with  its  upper 
jaw  lifted  above  the  water,  swimming  at  high 
speed  (estimated  at  8-9  knots  by  the  ship's  cap- 
tain) in  feeding  runs  of  15-20  seconds,  which  we 
recorded  on  video.  Three  humpback  whales 
nearby  were  diving  in  one  specific  location.  Th,e 
right  whale  repeatedly  changed  direction  be- 
tween surface  runs  so  that  its  horizontal  direc- 
tional feeding  excursions  did  not  take  it  far  from 
the  vicinity  of  the  vertically  diving  humpbacks. 
During  these  powerful  filter-feeding  runs  enor- 
mous amounts  of  water  were  displaced,  cascading 
beside  and  behind  the  right  whale  and  producing 
a  large  wake. 

15  January  1985:  A  cow  and  a  calf  were  swim- 
ming slowly  at  the  surface  some  500  m  from  the 
eastern  shore  of  Anvers  Island.  On  approach  by 
the  ship  the  whales  swam  slowly  into  shallow 
water  where  we  could  not  follow.  It  was  near  dusk 
and  we  could  not  get  photographs  for  future  iden- 
tification. 

7  January  1986:  We  encountered  one  southern 
right  whale  and  six  humpbacks  at  1830  hour  at 
lat.  63°46'S,  long.  61°13'W,  between  Trinity  and 
Hoseason  Islands.  We  photographed  the  head  and 
body  of  the  right  whale  for  subsequent  identifica- 
tion. We  followed  the  whale  for  approximately  2 
hours,  recording  diving  times,  surface  intervals, 
and  breathing  rates.  The  whale  frequently 
changed  directions  underwater  and  consequently 
we  often  failed  to  see  the  whale  immediately 
when  it  resurfaced,  so  breathing  rate  data  for  this 
behavioral  sequence  are  incomplete.  The  whale 
appeared  to  have  captured  krill  on  at  least  one 
dive  because  when  the  whale  surfaced  it  repeat- 
edly and  briefly  opened  and  closed  its  mouth,  with 
baleen  visible,  a  behavior  presumably  associated 


with  separation  of  krill  and  water  prior  to  swal- 
lowing the  prey  (Watkins  and  Shevill  1976). 
About  50  cape  petrels,  Daption  capensis,  alighted 
on  the  water  and  fed  at  the  surface  around  the 
whale.  When  the  whale's  jaw  movements  ceased, 
the  birds  soon  stopped  feeding,  but  they  remained 
on  the  water  and  did  not  follow  the  whale  when  it 
swam  away  at  the  surface. 

2  March  1986:  We  observed  one  right  whale  at 
the  northern  end  of  the  Neumayer  Channel, 
where  a  large  iceberg  was  grounded  on  a  93- 
fathom  rise  2  miles  east  of  Iceberg  Point.  The 
wind  was  blowing  from  the  north  at  20-24  knots 
and  a  strong  surface  current  was  flowing  south, 
producing  a  bow  wave  on  the  grounded  iceberg. 
The  right  whale  repeatedly  swam  NE  of  the  berg, 
raised  its  tail  high  out  of  the  water  at  90°  to  the 
wind,  submerged  its  head,  and  "sailed"  downwind 
past  the  iceberg,  a  behavior  previously  noted  for 
right  whales  in  Argentina  (Payne  1976).  Soon 
after  we  first  saw  the  whale,  it  stopped  tail- 
sailing  and  began  diving,  still  along  the  N-S  tran- 
sect near  the  iceberg  where  it  had  been  sailing. 
The  presence  of  the  ship  did  not  cause  the  whale 
to  alter  its  back-and-forth  swimming  rhythm  or 
direction.  We  waited  until  the  whale  began  one  of 
its  N-S  transects  past  the  iceberg  and  followed 
about  100  m  behind  it  with  the  ship.  A  large 
school  of  krill  was  present  on  the  east  side  of  the 
iceberg.  We  recorded  no  other  schools  in  the  vic- 
nity.  The  whale  was  accompanied  by  three  female 
fur  seals.  The  seals  constantly  darted  about  the 
head  of  the  whale  when  it  surfaced  after  long 
dives  and  appeared  to  annoy  the  whale,  because 
several  times  the  whale  repeatedly  slashed  its 
head  sideways  when  the  seals  swam  too  close. 

3  March  1986:  At  1030  hour,  we  spotted  a  single 
southern  right  whale  near  the  mouth  of  Andvord 
Bay  on  the  Antarctic  Peninsula.  The  whale  was 
swimming  SSW  at  about  3  knots,  making  short 
dives  that  lasted  about  19  seconds  {N  =  12, 
SD  =  9.0  seconds),  with  brief  surface  intervals 
that  averaged  6.1  seconds  (A^  =  12,  SD  =  2.6  sec- 
onds) (Fig.  1).  The  whale  then  stopped  diving  but 
continued  to  swim  SSW  toward  the  NE  tip  of 
Lemaire  Island,  swimming  mostly  at  the  surface 
for  approximately  90  minutes.  During  this  period 
the  whale  appeared  unconcerned  with  the  ship, 
which  remained  50-100  m  behind  it,  but  when 
the  whale  neared  an  iceberg  that  was  hard 
aground  near  Lemaire  Island,  it  turned  suddenly 
at  a  right  angle  to  its  prior  course  and  swam  be- 
tween the  iceberg  and  the  rocks.  The  ship  was 
nonetheless  able  to  follow  the  whale  through  the 


144 


HAMNER  ET  AL  :  FEEDING  BEHAVIOR  OF  SOUTHERN  RIGHT  WHALES 


0 


30 


60 


90 


120 


150 


180 


1M1 


35 


65 


95 


125 


155 


185 


10 


15 


20 


25 


1 


40 


45 


50 


55 


70 


75 


80 


85 


U 


100 


105 


no 


115 


130 


135 


140 


145 


160 


165 


170 


175 


1 


V/ 


190  195  200 

Time  in  minutes 


205 


30 


60 


90 


r 


120 


150 


180 


210 


Figure  1. — Dive  record  of  the  right  whale  constantly  observed  for  3.5  hours  on  3  March  1986.  44  minutes 
(arrowl:  The  ship  approached  to  within  10  m  of  the  whale  for  i.d.  photographs  and  size  measurement.  54 
minutes:  The  whale  hyperventilated  and  dove  in  an  area  without  krill,  then  swam  northward.  92  minutes: 
The  whale  began  diving  on  scattered  small  krill  schools  while  still  traveling  N  and  NNW.  140  minutes:  The 
whale  stopped  and  began  diving  on  one  large  concentration  of  krill.  182  minutes:  The  whale  rested  on  the 
surface,  moving  its  jaws.     194  minutes:  The  whale  began  a  second  feeding  bout  ca.  400  m  further  south. 


narrow  channel.  Thereafter  the  whale  ignored 
the  ship  and  altered  course  to  NNW,  still  swim- 
ming at  the  surface.  The  ship  pulled  ahead  of  the 
whale  to  measure  its  length  and  this  may  have 
caused  the  short  dive  noted  at  ^  =  43  minutes. 
However,  the  whale  calmly  surfaced  again  within 
10  m  of  the  ship  and  watched  us  while  we  pho- 
tographed it  next  to  the  wooden  disk.  The  whale 
was  11m  long.  The  whale  then  continued  to  swim 
at  the  surface  to  the  NNW.  During  the  period  that 
the  whale  swam  at  the  surface  without  diving  the 
average  time  between  breaths  was  50.8  seconds 
(n  =  55;  SD  =  10.8).  At  ^  =  54  minutes  the  whale 
began  to  hyperventilate,  took  three  short  dives, 
lifted  the  flukes  partially  clear  of  the  water  (false 
fluking  I  on  the  third  dive,  and  then  fully  raised 
the  flukes  on  the  fourth  dive,  which  lasted  210 
seconds.  The  whale  then  remained  at  the  surface 
for  about  30  minutes  while  swimming  northward. 
This  pattern  of  hyperventilation  prior  to  a  long 
dive  occurred  before  every  long  dive  sequence 
which  was  preceded  by  a  surface  interval  of  at 


least  4  minutes  (Fig.  2).  We  used  this  criterion  to 
restrict  our  dive  selection  for  this  plot  because 
there  is  some  indication  that  there  is  also  a  brief 
recovery  period  involving  hyperventilation  after 
long  dives.  Of  the  last  19  breaths  that  were  taken 
during  the  90  seconds  before  the  5  long  dives  plot- 
ted in  Figure  2,  18  were  less  than  30  seconds 
apart,  with  a  mean  interval  of  15  seconds 
(A^  =  19,  SD  =  7.3).  During  the  time  preceding 
this  90-s  hyperventilation  period,  the  whale  aver- 
aged 1  breath  every  48  seconds  iN  -  17,  SD  = 
12.4),  not  significantly  different  from  the  time  of 
50.8  seconds  recorded  between  breaths  during 
long  surface  intervals  without  dives.  During  hy- 
perventilation, therefore,  breathing  rate  in- 
creased by  about  3  x . 

At  ^  =  92  minutes  we  began  to  record  scattered 
small  krill  schools  on  the  echosounder  and  the 
whale  began  to  dive  erratically,  with  some  rea- 
sonably long  dives,  but  most  quite  short.  Of  23 
dives,  13  (56%)  were  shorter  than  10  seconds;  the 
time  averaged  for  all  dives  was  75.3  seconds 


145 


FISHERY  BULLETIN:  VOL  86,  NO   1 


70  r 


3  2 

Minutes  prior  to  dive 


0 


Figure  2. — Breath  sequences  prior  to  5  dives  lasting  from  93  to  279  seconds.  During  the  90  seconds 
immediately  preceding  dives,  the  mean  interbreath  interval  was  15  seconds.  Prior  to  this  90-s  period 
of  hyperventilation  the  mean  interbreath  interval  was  48  seconds. 


(A^  =  20,  SD  =  74.6).  During  this  period  of  erratic 
diving  the  whale  continued  to  swim  N,  then 
NNW.  At  about  t  =  140  minutes  the  whale 
stopped  traveling  NNW  and  began  a  series  of  10 
dives,  the  second  being  the  longest,  followed  by 
successively  shorter  dives.  These  dives  were  fol- 
lowed by  rather  uniform  surface  intervals  and  all 
10  lasted  significantly  longer  (x  =  183.5  seconds, 
N  =  10,  SD  =  89.2)  than  the  previous  mean  of  75 
seconds.  At  the  end  of  the  dive  sequence,  at  182 
minutes,  the  whale  stopped  swimming  entirely 
and  floated  motionless  at  the  surface,  occasion- 
ally moving  its  jaws.  This  inactivity  lasted  about 
12  minutes  and  then  the  whale  began  a  second 
series  of  dives.  We  called  these  dive  sequences, 
which  consisted  of  regular  length  surface  inter- 
vals interspersed  with  a  series  of  longer  dives  of 
progressively  decreasing  duration,  "feeding 
bouts"  because  at  ^  =  140  seconds  the  whale  had 
reached  the  only  major  aggregation  of  krill  in  the 
vicinity,  as  verified  by  sonic  records  (Fig.  3).  We 
saw  dense  schools  of  krill  and  isolated  krill  at  the 
surface  from  the  bow  of  the  ship,  and  we  captured 
krill  in  three  successive  hauls  with  the  1  m 
Isaacs-Kidd  midwater  trawl. 

During  the  first  feeding  bout  the  whale  slowed 


from  its  steady  3-knot  swimming  speed  and 
moved  slowly  at  about  1  knot,  but  no  longer  in 
any  specific  direction,  finally  swimming  some 
400  m  to  the  south  before  beginning  the  second 
feeding  bout.  The  whale  had  fed  on  krill  earlier 
also,  because  it  defecated  during  the  feeding  se- 
quence and  the  feces,  as  determined  by  later  mi- 
croscopic examination,  were  composed  entirely  of 
well-digested  euphausiids. 

The  display  of  a  false  fluke  prior  to  the  high 
fluke  initiating  a  long  dive  did  not  necessarily 
indicate  presence  or  absence  of  krill,  but  when 
krill  were  present,  it  was  a  highly  significant  pre- 
dictor of  the  length  of  the  dive.  In  the  presence  of 
prey,  when  the  whale  showed  its  flukes  once  (i.e., 
did  not  false-fluke  preceding  the  dive),  dive  dura- 
tion averaged  91.2  ±  13.0  seconds  {N  ^  5), 
whereas  when  both  a  false  fluke  and  a  high  fluke 
preceded  the  dive,  the  dive  averaged  234.7  ±  64.4 
seconds  (N  =  1). 

In  March  and  April  1986  we  saw  a  total  of  eight 
southern  right  whales.  Of  these  we  distinguished 
four  as  individuals  on  the  basis  of  video  tapes  and 
photographs  of  callosities  and  body  markings. 
One  of  these  whales  was  the  same  individual  that 
we  had  observed  in  January  some  70  miles  fur- 


146 


HAMNER  ET  AL  :  FEEDING  BEHAVIOR  OF  SOUTHERN  RIGHT  WHALES 
0( ■ 


I/) 
(V 
<D 

E 

c 


Cl 
O) 

Q 


20 


40 


S5:<s,<? 


.J4%?* 


^ 


<» 


60 


80 


=:Sf- 


kilometer 


Figure  3. — Echogram  of  krill  school  on  3  March  1986  on  which  right  whale  stopped  swimming  and  began 

feeding  bout. 


ther  north,  as  confirmed  by  comparing  video 
recordings  of  both  sightings.  Photographs  of  these 
four  individuals  were  subsequently  compared 
with  the  catalog  of  southern  right  whales  that 
overwinter  near  Peninsula  Valdes,  Argentina 
(Payne  and  Rowntree  1984),  but  none  of  the 
Antarctic  individuals  were  in  that  compendium  of 
some  623  individuals. 

DISCUSSION 

Our  observations  of  southern  right  whales 
along  the  Antarctic  Peninsula  suggest  that 
coastal  Antarctica  may  have  been  (and  may  well 
become  again)  a  regular  part  of  the  summer  feed- 
ing range  of  the  species.  These  sightings  indicate 
a  more  extensive  distribution  in  the  Southern 
Ocean  than  heretofore  reported,  an  extension  cor- 
roborated by  the  comparison  of  recent  and  his- 
toric summer  distributional  patterns  by  Ohsumi 
and  Kasamatsu  (1986).  Southern  right  whales 
were  hunted  almost  to  extinction  in  the  shallow 
coastal  embayments  where  they  overwinter  more 
than  100  years  before  whaling  began  in  the 
Southern  Ocean  (Harmer  1928;  Townsend  1935). 
It  is  not  surprising,  therefore,  that  there  are  only 
a  few  scattered  records  of  southern  rights  in 
Antarctic  waters,  fluke  observations  so  to  speak. 
During  the  past  50  years  southern  rights  have 


been  protected,  and  several  domes  of  southern 
right  whales  have  increased  (Best  1981;  Ohsumi 
and  Kasamatsu  1986;  Whitehead  et  al.  1986),  and 
a  commensurate  extension  of  the  summer  feeding 
range  into  areas  formerly  occupied  by  these 
whales  may  be  occurring. 

It  is  interesting  that  none  of  the  4  individual 
whales  for  which  we  have  photographic  identifi- 
cations appear  in  the  catalog  of  623  individual 
southern  rights  for  the  Valdes,  Argentina  breed- 
ing population  (Payne  and  Rowntree  1984).  We 
believe  that  the  right  whales  we  encountered  in 
Antarctic  waters  probably  winter  elsewhere,  per- 
haps along  the  Chilean  coast,  which  has  been  less 
well  surveyed  than  has  the  east  coast  of  South 
America  (Cardenas  et  al.  1986). 

Payne  (1976)  described  tail-sailing  among  the 
Valdes  population  of  southern  right  whales  and 
suggested  that  this  may  be  a  form  of  play  behav- 
ior. In  Antarctic  waters  this  behavior  may  be  a 
method  used  to  forage  on  krill.  The  right  whale 
that  we  observed  tail-sailing  had  three  fur  seals 
in  attendance,  constantly  darting  about  its  head, 
apparently  feeding  on  the  same  prey  as  the 
whale.  Furthermore,  tail-sailing  occurred  next  to 
a  grounded  iceberg  at  a  specific  location  that  was 
repeatedly  transected  by  the  whale,  the  only  spot 
in  the  vicinity  where  krill  were  detected  on  the 
ship's  sonar. 


147 


FISHERY  BULLETIN:  VOL.  86,  NO   I 


Northern  right  whales  feed  by  both  surface- 
skimming  and  subsurface  feeding,  apparently 
holding  the  jaws  agape  below  the  surface  much 
like  they  do  when  at  the  surface  (Watkins  and 
Schevill  1976,  1979).  Surface-skimming  by  north- 
ern right  whales  that  feed  on  copepods  and  juve- 
nile euphausiids  occurs  at  speeds  of  about  3  knots 
with  relatively  little  turbulence  (Watkins  and 
Schevill  1976,  1979).  The  one  southern  right 
whale  which  we  observed  surface-skimming,  and 
which  was  also  mentioned  in  Goodall  and 
Galeazzi  (1986),  swam  at  about  8  knots,  with  an 
immense  amount  of  turbulence.  This  whale  un- 
doubtedly was  feeding  on  Euphausia  superba. 
The  extremely  high  speed  of  this  whale  when 
surface-skimming  may  be  related  to  type  of  prey. 
Euphausia  superba  is  a  large  euphausiid  that 
swims  up  to  30  cm/second,  and  it  is  quite  adept  at 
avoiding  scuba  divers  and  other  dark  objects 
(Hamner  et  al.  1983;  Hamner  1984).  It  may  be 
that  right  whales  adjust  the  speed  of  their  surface 
feeding  runs  to  overcome  the  swimming  speed  of 
the  particular  prey  that  they  pursue.  Fin  whales 
also  exhibit  differences  in  breathing  and  diving 
rhythms  when  feeding  on  euphausiids  and  on 
schooled  fish  (Watkins  et  al.  1984). 

The  southern  right  for  which  we  have  a  3.5-h 
record  in  1986  fed  exclusively  below  the  surface. 
It  swam  for  about  an  hour  at  the  surface  almost 
directly  NNW  toward  the  only  patch  of  krill  that 
we  had  located  previously  via  the  echo  sounder 
during  repeated  transects  across  the  mouth  of 
Andvord  Bay.  It  is  not  understood  how  baleen 
whales  locate  prey.  They  might  echolocate,  they 
might  listen  for  krill  noises,  or  they  might  re- 
member where  they  had  prior  success  and  return 
to  the  general  vicinity  and  then  begin  to  hunt 
randomly.  Although  our  data  do  not  allow  us  to 
choose  among  these  possibilities,  it  appears  that 
this  particular  southern  right  whale  did  navigate 
directly  to  patches  of  prey,  as  suggested  by 
Watkins  and  Schevill  (1979)  for  northern  right 
whales.  However,  some  subsurface  searching 
probably  occurs  as  well.  The  whale  that  we  fol- 
lowed for  the  longest  period  of  time  made  a  rea- 
sonably long  dive  of  210  seconds  in  the  middle  of 
its  surface  swim  toward  the  krill  patch.  It  appar- 
ently did  not  find  anything  to  eat  (nor  did  the 
sonar  indicate  the  presence  of  krill),  and  it  made 
no  more  significant  dives  for  about  30  minutes. 

When  the  whale  reached  an  area  with  small 
scattered  krill  schools,  its  dives  were  generally 
short,  and  the  temporal  spacing  and  duration  of 
dives  and  surface  intervals  were  erratic.  When 


the  whale  reached  a  large  school  of  krill  it  stopped 
swimming  between  dives,  dives  lasted  longer, 
surface  intervals  between  dives  became  more  reg- 
ular, and  successive  dives  were  progressively 
shorter.  After  10  of  these  dives  the  whale  floated 
without  any  swimming  movements  at  the  surface 
for  about  12  minutes  while  occasionally  rattling 
its  baleen  and  slightly  lifting  its  upper  jaw. 

The  whale  clearly  anticipated  its  dives.  It  hy- 
perventilated for  about  90  seconds  prior  to  all  of 
the  long  dives.  Hyperventilation  is  a  common  pre- 
cursor to  diving  in  air-breathing  vertebrates 
(Kooyman  et  al.  1981),  but  this  respiratory  pat- 
tern apparently  has  not  been  reported  previously 
for  a  baleen  whale. 

The  data  that  we  present  in  support  of  this  feed- 
ing pattern  are  admittedly  modest,  consisting  of 
only  one  continuous  3.5-h  data  sequence  for  one 
individual.  Nonetheless,  this  data  set  is  truly 
unique  and  it  includes  a  series  of  statistically  sig- 
nificant changes  of  behavior  at  the  surface  and  at 
depth  which  are  correlated  with  prey  distribu- 
tion. Since  the  changes  of  behavior  are  real,  they 
merit  interpretation.  One  hypothesis  to  account 
for  the  increase  and  then  the  decrease  in  dive 
length  after  encountering  prey  is  that  the  whale 
dove  to  its  full  capacity  in  order  to  maximally 
exploit  an  opportunity  to  feed.  With  repeated 
dives  its  dive  capacity  may  have  diminished,  pro- 
ducing first  long,  then  shorter  and  shorter  dives 
(Fig.  1).  In  contrast,  this  breathing  pattern  has 
not  been  observed  in  grey  whales,  which  exhibit  a 
sustained  capacity  for  repetitive,  nearly 
monotonic  diving  while  feeding  (Obst  et  al.  in 
prep.).  It  is  possible  that  right  whales,  being  more 
specialized  for  surface-skimming,  become  ex- 
hausted more  readily  during  sustained  diving. 

An  alternative  hypothesis  to  account  for  this 
pattern  of  behavior  is  that  the  whale  captured 
krill  with  such  ease  on  the  first  long  dive  of  348 
seconds  that  a  "digestive  bottleneck"  (Kenward 
and  Sibly  1977)  developed;  subsequent  dives 
would  be  progressively  shorter  because  the  stom- 
ach (or  some  storage  chamber)  filled  more  rapidly 
than  the  food  could  be  processed.  The  long  surface 
interval  of  immobility  followed  by  a  second  feed- 
ing bout  might  then  represent  the  time  taken  to 
clear  such  a  chamber  (e.g.,  the  first  of  the  three 
stomach  pouches)  in  preparation  for  the  next  bout 
of  feeding.  If  this  hypothesis  is  correct,  it  implies 
that  once  a  right  whale  has  found  a  particularly 
favorable  school  of  krill,  it  fills  up  very  rapidly. 
This  interpretation  contrasts  markedly  with  a 
popular  impression  of  great  whales  as  continuous 


148 


HAMNER  ET  AL.:  FEEDING  BEHAVIOR  OF  SOUTHERN  RIGHT  WHALES 


feeders  that  harvest  prey  while  swimming  lazily 
through  diffuse  planktonic  resources.  Herwig  et 
al.  (1984)  presented  preliminary  evidence  that 
microbial  fermentation  of  ingesta  may  occur  in 
the  forestomach  of  baleen  whales,  a  process  which 
may  be  expected  to  limit  the  throughput  rate  of 
food  in  accordance  with  continuous-flow,  stirred 
tank  reactor  kinetics  (Penry  and  Jumars  1987).  It 
is  tempting  to  speculate  that  the  feeding  behavior 
of  right  whales,  among  the  largest  endotherms  on 
earth,  may  be  constrained  by  a  digestive  bottle- 
neck analogous  to  that  described  for  humming- 
birds (Karasov  et  al.  1986),  the  smallest  of  en- 
dotherms. These  hypotheses  warrant  subsequent 
testing  through  more  extensive  time-budget 
analyses  of  right  whales  and  other  balaenopter- 
ans  on  their  feeding  grounds,  such  as  described 
here  and  in  Watkins  et  al.  (1984). 


ACKNOWLEDGMENTS 

We  thank  P.  Hamner,  M.  Lang,  and  the  crews 
of  the  RV  Hero  and  RV  Polar  Duke  for  field  assis- 
tance. R.  Jedas  wrote  the  computer  program  for 
recording  behavior  in  real  time.  R.  Payne  and  V. 
Rowntree  were  of  great  assistance  in  comparing 
photographs  of  individual  Antarctic  whales  and 
of  right  whales  occurring  off  Peninsula  Valdes, 
Argentina.  P.  Hamner  provided  editorial  assis- 
tance. This  research  was  supported  by  NSF 
grants  DPP83-02852  and  DPP86-14821. 


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1981.     Changes  in  the  abundance  of  whalebone  whales  in 
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150 


NOTES 


AN  ECONOMETRIC  ANALYSIS  OF 

IVfET  INVESTMENT  IN 
GULF  SHRIMP  FISHING  VESSELS' 

The  major  capital  inputs  in  the  Gulf  shrimp  fish- 
ery are  vessels  and  gear.  Early  vessels,  built 
mostly  of  wood,  employed  drag  seines,  cast  nets, 
and  fixed  traps  to  catch  shrimp.  Today,  much 
larger  and  more  powerful  vessels,  equipped  with 
sophisticated  fishing  gear  and  accessories,  trawl 
the  Gulf  of  Mexico.  The  last  20  years  has  seen  a 
remarkable  substitution  of  steel  and  fiberglass 
vessels  for  wooden  vessels.  The  factors  underlying 
this  aggregate  investment  trend  in  the  Gulf  of 
Mexico  (hereafter  referred  as  the  Gulf)  shrimp 
fishery,  however,  have  yet  to  be  examined. 

Economic  analysis  of  the  fishing  industry  has 
increased  in  recent  years  because  of  the  growing 
importance  of  world  fish  stocks.  However,  these 
studies  have  been  focused  predominantly  at  the 
micro  or  firm  level  (Thompson  et  al.  1970^; 
Wilson  et  al.  1970;  Juhl  1974;  Watson  1977; 
Griffin  et  al.  1978;  Prochaska  and  Cato  1981). 
Moreover,  accounting  for  a  comprehensive  mean 
of  the  cost  of  capital  has  been  ignored  in  past 
research  efforts.  Yet,  the  cost  of  capital  is  likely  a 
major  factor  in  fishing  vessel  investment  deci- 
sions in  the  Gulf  shrimp  fishery.  The  long  run 
profitability  of  the  sector  and  its  exposure  to  fi- 
nancial risk  depends,  to  a  large  extent,  upon  its 
capital  structure  and  fluctuations  in  the  cost  of 
debt  and  equity  capital.  Futhermore,  this  deter- 
minent  of  aggregate  investment  behavior  repre- 
sents a  major  channel  through  which  macroeco- 
nomic  policy  actions  are  transmitted  to  the  Gulf 
shrimp  fishery. 

The  purpose  of  this  study  is  to  estimate  an 
econometric  model  of  annual  real  net  investment 
in  fishing  vessels  in  the  Gulf  and  to  determine  the 
sensitivity  of  investment  decisions  in  the  indus- 
try to  fluctuations  in  the  cost  of  equity  and  debt 
capital.  This  study  begins  by  examining  the  indi- 
vidual factors  that  affect  the  expansion  of  the 


iTechnical  Article  No.  TA-20803  of  the  Texas  Agricultural 
Experiment  Station,  Texas  A&M  University  System.  This  re- 
search was  supported  in  part  by  the  Texas  A&M  University  Sea 
Grant  College  Program  under  Grant  No.  NA81AA-D-00092. 

2Thompson,  Russel  G.,  R.  W.  Callen,  and  L.  C. 
Wolken.  1970.  Optimal  investment  and  financial  decisions 
for  a  model  shrimp  fishery  firm.  Unpubl.  Rep.  Texas  A&M 
Univ.,  TAMU-SG-70-205. 


stock  of  steel,  wood,  and  fiberglass  vessels  in  the 
Gulf  fieet.  The  effects  of  alternative  macroeco- 
nomic  policies  on  investment  expenditure  trends 
in  the  Gulf  shrimp  fishery  are  then  studied.  The 
final  section  of  this  paper  presents  some  conclud- 
ing remarks. 

Determinants  of  Net  Investment 

The  aggregate  investment  model  used  in  this 
study  is  based  upon  the  neoclassical  theory  of  ag- 
gregate investment  behavior.  The  determinants 
of  the  desired  capital  stock  of  fishing  vessels  as 
well  as  the  relationship  between  this  desired  cap- 
ital stock  and  net  investment  behavior  of  Gulf 
shrimp  fishermen  are  specified  in  this  section. 

Desired  Stock  of  Fishing  Vessels 

In  making  investment  decisions,  competitive 
firms  add  to  their  existing  stock  of  capital  as  long 
as  the  present  value  of  the  periodic  net  cash  flows 
generated  by  an  additional  unit  of  capital  exceeds 
its  net  purchase  price.  This  condition  for  any  par- 
ticular type  of  fishing  vessel  (e.g.,  wood,  steel, 
fiberglass)  can  be  stated  algebraically  as  follows^: 


2  pidX/dKj)  -  (dTi/dKj)  -  r{dDt/8Kj} 
t=i 


idPt/dKj)  (1  +  p)-'  >  Qjia  -  ic) 


X  U  +  ^  dRjt/dKj]a  +  p)-']  (1) 


where  variable  p  represents  the  real  price  fisher- 
men expect  to  receive  per  unit  of  output  in  the 
Gulf  of  Mexico  shrimp  industry,  X  represents  the 
quantity  of  shrimp  expected  to  be  harvested,  Kj  is 
the  real  stock  of  thej'^  category  of  fishing  vessels, 
Tt  and  P/  represent  the  tax  payment  and  principal 
payment  due  in  period  t  expressed  in  constant 


3The  variables  without  any  subscripts  are  expected  at  the 
time  the  investment  is  made  to  remain  constant  over  time. 


FISHERY  BULLETIN:  VOL.  86,  NO.  1,  1988 


151 


dollars,  D,  represents  debt  outstanding  in  period 
t,  r  is  the  real  rate  of  interest  on  debt  capital,  p  is 
the  real  after-tax  opportunity  rate  of  return  on 
equity  capital  desired  by  fishermen,  Qj  is  the  real 
price  paid  for  the^'^  category  of  fishing  vessels  at 
the  retail  level,  a  is  the  proportion  of  investment 
financed  with  equity  capital,  i^.  is  the  investment 
tax  credit  rate,  and  Rjt  represents  the  real  level  of 
replacement  investment  in  the  j^^  category  of 
fishing  vessels  required  in  period  t  to  offset  losses 
in  productive  capacity  due  to  wearout. 

The  entire  term  on  the  left-hand  side  of  the 
inequality  sign  in  Equation  (1)  represents  the 
present  value  of  the  additional  net  cash  flows  gen- 
erated by  a  permanent  addition  to  the^'^  category 
of  fishing  vessels.  It  is  assumed  that  both  the  in- 
terest and  the  principal  payments,  ((tP/SK^)  and 
r(dD/BK, ),  vary  over  time  as  further  expenditures 
are  required  to  maintain  the  productive  capacity 
of  this  addition  to  the  capital  stock  at  its  original 
level.  The  right-hand  side  of  Equation  (1)  repre- 
sents the  initial  downpayment  minus  the  invest- 
ment tax  credit  plus  the  present  value  of  all  fu- 
ture cash  outlays  required  to  maintain  the  stock 
of  the  j^^  category  of  fishing  vessels  at  its  new 
level. 

To  maximize  the  present  value  of  their  equity. 
Gulf  shrimp  fishermen  would  continue  to  add  to 
the  stock  of  the  j^^  category  of  fishing  vessels 
until  Equation  (1)  holds  as  an  equality.  Equiva- 
lently,  maximization  of  the  present  value  of 
owner  equity  requires  thaf* 


pidX/dKj)  =  j^^ 


a 


ic  +  Z  -  A 


(1   -  iy) 


(2) 


where  F,  represents  the  present  value  of  the 
stream  of  capacity  depreciation  of  they '^^  category 
of  vessels  and  iy  is  the  average  income  tax  rate. 
The  term  Z  represents  the  present  value  of  the 
stream  of  after-tax  interest  payments  and  princi- 
pal payments  on  debt  while  A  represents  the 
present  value  of  the  stream  of  tax  depreciation 
allowances  that  can  be  claimed  for  each  dollar  of 
investment  as  the  stock  of  vessels  is  maintained 
at  its  new  level. ^  The  right-hand  side  of  this  ex- 


4Equation  (1)  as  well  as  the  derivation  of  the  implicit  rental 
price  of  vessels  (c)  assume  that  fishermen  expect  real  prices  (p) 
and  the  marginal  physical  product  of  vessels  dX/dK  to  remain  at 
current  levels.  These  and  other  assumptions  which  allow  us  to 
treat  many  components  of  Equation  (1)  as  consoles  are  consis- 
tent with  those  employed  in  Penson  et  al.  (1981)  and  Coen 
(1975). 


pression  thus  represents  the  implicit  rental  price 
of  the  J^^  category  of  fishing  vessels. 

The  concept  of  the  implicit  rental  price  of  capi- 
tal has  been  widely  employed  in  previous  studies 
of  investment  behavior  as  a  determinant  of  the 
capital  stock  which  firms  desire  to  hold  (e.g.,  Coen 
1968,  1975;  Penson  et  al.  1981).  Equation  (2)  sug- 
gests that  the  implicit  rental  price  of  they*^^  cate- 
gory of  fishing  vessels  will  increase  if  their  pur- 
chase price,  the  cost  of  debt,  and  equity  capital,  or 
income  tax  rates  increase.  These  effects,  however, 
will  be  offset  to  some  extent  by  an  increase  in 
the  investment  tax  credit  rate,  the  deductibil- 
ity of  tax  depreciation  allowances,  and  interest 
expenses. 

Let  us  assume  that  output  in  this  industry  is  a 
function,  in  part,  of  the  stock  of  fishing  vessels 
and  that  this  production  relationship  is  of  the 
Cobb-Douglas  form.  Letting  p^  represent  the  par- 
tial production  elasticity  associated  with  the 
stock  of  the 7'^  category  of  fishing  vessels  (Kj), 
the  marginal  physical  product  for  these  vessels 
can  be  expressed  as  follows: 


idX/dKj)  =  i^jiX/Kj). 


(3) 


Substituting  Equation  (3)  into  Equation  (2),  the 
desired  stock  of  they'*^^  category  of  fishing  vessels 
at  the  end  of  year  t  can  be  expressed  as  follows: 


K*jt^^j{pX/Cjh 


(4) 


where  Cj  represents  the  expected  implicit  rental 
price  of  they '^'^  category  of  fishing  vessels  given  by 
the  right-hand  of  Equation  (2).  Equation  (4)  im- 
plies that  the  desired  stock  ofj^^  category  of  fish- 
ing vessels  is  directly  related  to  the  expected  real 
gross  income  from  Gulf  shrimp  fishing  and  is  in- 


^The  nominal  value  of  Z  (the  present  value  of  the  stream  of 
after-tax  loan  payments)  in  Equation  (2)  is  equal  to 


n 


il -iyW   2j    d,(l  +  ^)''{1  +  p)-' 

i  =  1 
n 

+  ^   ^    (e  -  d,)(l -I- (J))-'(l -h  p)-' 
(  =  1 
while  the  real  value  of  A  (the  present  value  of  the  stream  of 
depreciation  allowances  is  equal  to 

i^(hl(p  +  A>  +  pi>  +  ^)) 

where  d^  is  equal  to  the  nominal  interest  payment  on  a  loan  of 
one  constant  dollar,  (J)  is  the  inflation  rate,  e  is  the  nominal 
amortized  loan  payment  on  a  loan  of  one  current  dollar,  and  8  is 
the  tax  depreciation  rate  given  by  2ln  where  n  is  the  service  life 
of  the  vessel. 


152 


versely  related  to  the  expected  implicit  rental 
price  of  these  vessels.  Similar  equations  could  be 
developed  for  other  inputs  used  in  the  shrimp 
fishing  effort. 

Desired  Net  Investment  in  Fishing  Vessels 

New  fishing  vessels  are  acquired  by  Gulf 
shrimp  fishermen  both  to  expand  their  productive 
capacity  and  to  replace  losses  in  the  productive 
capacity  of  existing  vessels.  This  partitioning  of 
observed  gross  investment  into  net  investment 
and  replacement  investment  for  the  j^^  category 
of  fishing  vessels  can  be  expressed  definitionally 
as  follows: 


Njt  =  Kj,  -  K,, 


h  -  ^jt 


(5) 


where  7,7  represents  the  level  of  real  gross  invest- 
ment in  the  7'^  category  of  fishing  vessels  in  year 
t  while  Rf  is  the  real  replacement  investment 
needed  to  offset  annual  capacity  depreciation  of 
these  vessels.  The  variables  K;  and  K/- 1  represent 
the  productive  capital  stock  of  the  7'^  category  of 
fishing  vessels  the  end  and  the  beginning  of  the 
year,  respectively.  Given  Equations  (4)  and  (5), 
the  following  relationship  between  the  desired 
stock  of  the  j^^  category  of  fishing  vessels  and 
current  real  net  investment  in  these  durable 
inputs  can  be  defined: 


A^ 


jt 


QjiK*j, 


Kj,-i) 


(6) 


where  0  <  0^  <  1  and  where  0^  represents  the  par- 
tial adjustment  coefficient  that  describes  the 
speed  of  adjustment  of  actual  stocks  to  desired 
levels  for  thej'^  category  of  fishing  vessels.  Sub- 
stituting Equation  (4)  into  Equation  (6)  and  as- 
suming an  adaptive  expectations  hypothesis  for 
(pXICj)t,  the  following  compound  geometric  ex- 
pression is  obtained: 


A^^,  =  0^  \^jUpXICj)t  +  (1  -  ^j)Njt-i 


+  %{l  -  \j)Kjt-2 


0A 


Jt-l  +  \^Jt 


(7) 


where  \j  is  the  adaptive  expectations  coefficient 
and  [Xji  represents  the  error  term.  Since  Kjt-2  is 
equal  to  Kjt^i  -  Nf-i,  Equation  (7)  reduces  to  the 
following  estimating  equation: 


A^,,  =  bjo  +  bji  (pXICj)t  +  bj2  Kjt-i 


where  60  is  the  intercept,  61  =  8  px,  62  =  -8X, 
63  =  (1  -  \)  (1  -  0)  and  \xt  is  once  again  the  ran- 
dom disturbance  term.  The  estimates  of  the  61 
and  63  coefficients  are  expected  to  be  positive 
while  the  value  of  62  is  expected  to  be  negative.^ 
Equation  (8)  thus  represents  the  general  form  of 
the  equations  to  be  econometrically  investigated 
in  this  study. 

Data 

The  time  series  data  used  in  this  study  consist 
of  annual  observations  for  each  variable  in  Equa- 
tion (8)  over  the  1965-77  period.  This  time  period 
represents  the  only  period  for  which  investment 
expenditure  information  is  available. 

The  productive  capital  stock  of  the^'^'^  category 
of  fishing  vessels  is  comprised  of  a  series  of  differ- 
ent vintages  of  vessels  or 

Kj,  =  Ijt  +  (1  -  hj^)Ijt.^  +  (1  -  A,i  -  hj2)\^_^  +  .  .  . 

+  (\-hj^-hj2-  ..  .-  hjr,)Ijt-n  (9) 


where  /i^,  is  the  fraction  of  thej*^^  category  of  fish- 
ing vessel's  original  productive  capacity  lost  in 
the  i^^  year  of  its  service  life.  The  value  of  A,  is 
represented  by  (1  -  <}>)'" ^,  where  <t>  =  2/n  and  n  is 
the  assumed  service  life.^  In  a  related  matter, 
the  present  value  of  the  stream  of  capacity  de- 
preciation of  a  vessel  {Fj)  was  computed  as  fol- 
lows: 


+  bj3Njt-i  +  iXjt 


(8) 


6The  net  investment  model  expressed  in  Equation  (8)  can  be 
seen  as  a  part  of  a  simultaneous  equation  system  that  includes 
other  investment  equations  as  well  as  supply  equations  for  all 
inputs  and  the  production  function  for  the  fishing  industry.  The 
specification  of  the  complete  simultaneous  system  of  equations 
and  measurement  of  time  series  data  needed  to  simultaneously 
estimate  the  6,  coefficients  in  Equation  (8)  are  beyond  the  scope 
of  this  study.  Since  the  disturbance  terms  for  this  set  of  invest- 
ment equations  are  likely  correlated,  the  seemingly  unrelated 
regression  equations  estimator  was  employed.  The  disturbance 
terms  given  by  this  estimator  were  also  examined  for  autocorre- 
lation. The  estimated  rho  coefTicient  in  this  small  sample  was 
shown  to  be  insignificant  in  all  cases.  Finally,  the  predicted 
rather  than  actual  value  of  A'^,  _  j  was  used  in  estimating  Equa- 
tion (8)  to  address  the  pyossibility  of  correlation  between  the 
lagged  dependent  variable  and  the  disturbance  term. 

''While  a  geometric  decline  in  productive  capacity  has  been 
assumed  for  fishing  vessels,  recent  studies  indicate  that  the 
productive  capacity  of  equipment  and  machinery  deteriorates  at 
a  lower  rate  in  the  early  period  than  in  latter  years.  Coen  (1975) 
suggested  that  equipment  and  machinery  deteriorate  as  they 
age,  though  not  necessarily  at  a  geometric  rate.  For  farm  trac- 
tors, a  concave  decay  pattern  represents  the  best  proxy  for  the 
capacity  depreciation  pattern  suggested  by  engineering  consid- 
erations (Penson  et  al.  1981).  The  true  pattern  which  underlines 
actual  capital  spending  decisions  in  the  fishing  industry  could 
not  be  examined  due  to  inadequate  data. 


153 


Fj  =  ^hj,a  +  p) 


(10) 


(=1 


Data  from  the  National  Marine  Fisheries  Ser- 
vice were  used  as  annual  observations  on  the 
nominal  value  of  gross  investment  in  Gulf  fish- 
ing vessels  (U.S.  Department  of  Commerce  1965- 
77^).  These  values  were  deflated  to  real  terms 
using  the  industrial  price  index.  The  quality  of 
the  time  series  for  real  net  investment  in  fishing 
vessels,  N/,  depends  on  how  well  the  annual 
values  of/,  reflect  quality  changes  in  vessels  over 
time. 

The  annual  levels  of  the  implicit  rental  price  of 
vessels  (c)  were  computed  using  the  definition 
outlined  on  the  right-hand  side  of  Equation  (2). 
Coen  (1975)  assumed  that  the  real  after-tax  rate 
of  return  desired  on  equity  capital,  p,  is  constant 
over  the  economic  life  of  the  investment.  Follow- 
ing the  lead  of  Coen,  a  value  for  p  of  5%  was 
employed  in  this  study. 

The  real  rate  of  interest  on  nonreal  estate  loans 
at  commercial  banks,  r,  along  with  annual  rate  of 
inflation  equals  the  nominal  rate  of  interest  on 
debt  capital.  Annual  values  for  all  these  variables 
were  obtained  from  US.  Department  of  Com- 
merce publications.  The  annual  values  for  the 
fraction  of  investment  expenditures  that  are  debt 
financed  (v];)  used  in  computing  Z  were  found  by 
dividing  the  annual  change  in  total  debt  in  the 
fishing  industry  by  the  annual  level  of  gross 
investment  in  durable  inputs  provided  by  the  Na- 
tional Marine  Fisheries  Service.  The  time  series 
for  a,  the  fraction  of  capital  expenditures  fi- 
nanced with  internal  equity  capital,  was  equal  to 
one  minus  the  percentage  debt  financed 
(l-il/). 

Investment  tax  credit  rate,  i^,  was  equal  to  7% 
during  the  1965-68  period,  0%  during  the  1969-70 
period,  and  I09c  during  the  1971-77  period.  The 
maximum  corporate  income  tax  was  assumed  to 
represent  i^  for  the  Gulf  shrimp  fishery.  The 
double-declining  balance  method  was  assumed  in 
determining  the  present  value  of  the  stream  of 
annual  tax  depreciation  allowances  in  A . 

The  time  series  data  on  prices  paid  for  vessels, 
a  component  of  the  rental  price,  were  measured 
using  cost  data  collected  from  shrimp  vessel 
builders.  Griffin  et  al.  (1978)  have  shown  that 


vessel  length,  material  of  construction,  and  year 
of  purchase  were  the  most  significant  factors  de- 
termining the  price  of  a  vessel.  The  equation  esti- 
mated in  that  study  was  used  to  extend  available 
vessel  price  information  over  the  entire  time  pe- 
riod covered  by  this  study. 

Econometric  Results 

Statistical  as  well  as  economic  criteria  can  be 
employed  to  evaluate  the  estimated  equations  for 
the  various  categories  of  fishing  vessels.  The  eco- 
nomic criteria  include  the  reasonableness  of  the 
elasticities  for  the  economic  variables  and  as  well 
the  partial  production  elasticities  implied  for  the 
production  function. 

Empirical  estimates  of  the  annual  real  net  in- 
vestment model  for  steel,  wooden,  and  fiberglass 
vessels  indicate  statistically  significant  coeffi- 
cients for  all  but  one  of  the  explanatory  variables 
at  the  10%  level  or  less  (Table  1).  The  lone  excep- 
tion was  the  coefficient  associated  with  the  lagged 
capital  stock  variable  in  wooden  vessel  model, 
which  was  not  significantly  different  from  zero  at 
less  than  the  20%  level.  All  the  coefficients  associ- 
ated with  the  explanatory  variables  have  the 
signs  hypothesized  earlier  in  this  paper.  Finally, 
the  coefficients  on  the  lagged  dependent  variable 
satisfy  the  constraint  of  being  both  greater  than 
zero  and  less  than  one. 


Table  1 . — Estimated  coefficients  for  the  annual  net  investment 
model  for  fishing  vessels.     Gulf  Shrimp  Fleet,  1965-77. 


Vessel 

Constant 

(pX/c), 

K,-: 

N,-^ 

type 

(bo) 

(bi) 

{b2) 

(b3) 

Steel 

-95.3895 

4.3770 

-9.1302 

0.6318 

M6.21) 

(6.23) 

(2.34) 

Wooden 

384.3848 

0.1132 

-3.1944 

0.9089 

(1.79) 

(0.93) 

(1.21) 

Fiberglass 

0.3819 

0.2990 

-0.9529 

0.2765 

(5.37) 

(1.74) 

(2.88) 

8U.S.  Department  of  Commerce.  1965-77.  Vessel  charac- 
teristics data.  National  Marine  Fisheries  Service,  NOAA, 
Wash.,  D.C. 


1  Numbers  in  parentheses  indicate  absolute  values  of  f -statistic. 

Economic  criteria  employed  in  evaluating  the 
reasonableness  of  the  empirical  results  and  in 
comparing  the  investment  behavior  among  vessel 
types  include  the  partial  production  elasticity  of 
fishing  vessels  (p).  This  elasticity  is  given  by 
-61/62  which  is  computed  using  the  estimated 
beta  coefficients  in  Equation  (7).  It  appears  that 
steel  vessels,  with  a  partial  production  elasticity 
of  0.479,  are  highly  productive  and  play  an  impor- 
tant role  in  the  supply  of  fish.  The  fishing  sector, 
unlike  other  sectors  of  the  economy,  depends  pri- 


154 


marily  on  one  major  capital  input — vessels. 
Therefore,  the  high  partial  production  elasticities 
recorded  for  steel  vessels  and  fiberglass  vessels 
(0.314)  are  no  surprise.  Even  though  wooden  ves- 
sels appear  to  incur  more  repair  and  maintenance 
costs,  attract  a  lower  quality  crew,  and,  for  that 
matter,  are  less  efficient  than  the  other  vessel 
types,  the  low  partial  production  elasticity  of 
0.033  is  surprising.  This  low  partial  production 
elasticity  may  have  been  caused  by  the  fact  that 
the  instrument  for  A'^^  -  i  in  the  wooden  vessels 
equation  used  to  address  the  issue  of  the  relation- 
ship between  the  lagged  dependent  variable  and 
the  error  term  did  a  poor  job  of  explaining  Nf  -  i. 
An  examination  of  the  elasticities  associated 
with  the  (pX/c )/  term,  computed  at  the  mean,  re- 
veals that  real  net  investment  in  steel  vessels  is 
the  most  sensitive  to  changes  in  prices,  interest 
rates,  taxes,  and  the  other  factors  captured  in  this 
variable.  An  elasticity  of  7.28  associated  with  this 
economic  variable  was  computed  for  steel  vessels. 
This  means  that  a  1%  change  in  the  (pX/c)t  vari- 
able causes  real  net  investment  in  steel  vessels  to 
change  by  1.289c.  This  high  investment  response 
to  changes  in  these  economic  relationships  could 
be  attributed  to  the  fact  that  steel  vessels,  by  far 
the  most  productive  (as  evidenced  by  the  high 
partial  production  elasticity  reported  earlier),  are 
the  most  durable  and  the  most  capital  intensive. 
The  elasticity  associated  with  the  (pX/c)t  term  in 
the  fiberglass  and  wooden  vessel  equations  were 
5.35  and  3.11,  respectively.  This  would  suggest 
that  macroeconomic  policy  actions  would  have  a 
substantially  greater  effect  on  real  net  invest- 
ment in  steel  vessels  than,  say,  wooden  vessels. 

Impact  of  Changes  in 
Cost  of  Capital 

The  impact  of  high  real  interest  rates  on  the 
growth  of  selected  sectors  in  the  economy  has 
been  of  great  concern  in  the  1980s.  The  sensitiv- 
ity of  annual  real  net  investment  in  fishing  ves- 
sels to  changes  in  the  real  rate  of  interest  is  exam- 
ined in  this  section  by  simulating  the  estimated 
equations  under  annual  real  rates  of  5  and  109?^. 
In  the  short  run  (3  years),  an  increase  in  the  real 
rate  of  interest  on  debt  capital  from  5  to  10% 
would  cause  real  net  investment  in  fishing  ves- 
sels to  decrease  by  3.04%.  Annual  real  net  invest- 
ment in  these  fishing  vessels  would  decrease  by 
15.88%  in  the  long  run.  As  the  real  rate  of  interest 
on  debt  capital  increases,  it  becomes  more  diffi- 
cult to  justify  the  purchase  of  additional  vessels 


owing  to  their  rising  marginal  factor  cost.  Given 
the  fact  that  67%  of  the  cost  of  new  fishing  vessels 
is  normally  financed  with  debt  capital,  it  is  not 
surprising  that  rising  real  interest  rates  on  debt 
captial  have  a  significant  negative  effect  on  the 
long  run  expansion  of  the  Gulf  fleet. 

The  real  cost  of  equity  capital,  which  reflects 
the  opportunity  cost  of  the  fisherman's  own  funds, 
has  a  less  dramatic  effect  on  annual  real  net  in- 
vestment in  fishing  vessels.  This  can  be  at- 
tributed to  the  fact  that  only  33%  of  the  cost  of 
new  fishing  vessels  are  financed  with  equity  cap- 
ital. The  short  run  impact  of  an  increase  in  the 
real  cost  of  equity  capital  from  5  to  10%  translates 
into  only  a  1.76%  decrease  in  annual  real  net 
investment  in  fishing  vessels  in  the  short  run. 
This  same  change  in  the  cost  of  equity  capital 
would  result  in  a  12.32%  decrease  in  annual  real 
net  investment  in  the  long  run. 

Summary  and  Conclusions 

This  study  evaluated  aggregate  investment  be- 
havior by  fishermen  for  steel,  wooden,  and  fiber- 
glass fishing  vessels  in  the  Gulf  of  Mexico  shrimp 
fishery  and  examined  the  implications  of  changes 
in  the  cost  of  acquiring  debt  and  equity  capital  on 
the  industry's  investment  response.  This  study 
showed  statistical  justification  for  the  theoretical 
model  of  aggregate  investment  behavior  for  all 
three  vessel  types. 

It  is  quite  evident  that  the  cost  of  capital  plays 
an  important  role  in  influencing  the  investment 
decisions  in  the  Gulf  shrimp  fishing  industry. 
Macroeconomic  policies  that  lead  to  high  real  in- 
terest rates  depress  real  net  investment  in  this 
fishery.  Capital  expenditures  for  steel  vessels  are 
the  most  sensitive  to  changes  in  real  interest 
rates  while  wooden  vessels  are  the  least  sensitive. 
While  low  real  interest  rates  are  desirable  for 
stimulating  investment  activities  in  the  general 
economy,  they  would  add  to  the  overcapitaliza- 
tion problem  which  currently  exists  in  the  Gulf 
shrimp  fishing  industry.  Finally,  this  study  un- 
derscores the  need  to  reinitiate  efforts  to  collect 
data  on  gross  investment  expenditures  for  differ- 
ent categories  of  fishing  vessels  in  the  Gulf  fleet. 

Literature  Cited 

COEN,  R  M 

1968.  Effects  of  tax  policy  on  investment  in  manufactur- 
ing.    Am.  Econ.  Rev.  58:200-211. 

1975.  Investment  behavior,  the  measurement  of  deprecia- 
ble and  tax  policy.     Am.  Econ.  Rev.  65:59-74. 


155 


Griffin, W  L.J  P  Nichols, R  G  Anderson. J  E  Buckner.and 
C  M  Adams 

1978.     Cost  and  returns  data:  Texas  shrimp  trawlers,  Gulf 
of  Mexico,  1974-75.     Dep,  Agr,  Econ.  Tech.  Rep,,  TAMU- 
SG-76-601,     Texas  A&M  Univ. 
JUHL.  R 

1974.     Economics  of  the  Gulf  of  Mexico  industrial  and  food- 
fish  trawlers.     Mar.  Fish.  Rev.  36(ll):39-42. 
Kmenta.  J 

1971.     Elements  of  econometrics.     MacMillan  Company, 
N.Y. 
Penson,  J  B  .  R  G  Romain,  and  D  W  Huches 

1981.     Net  investment  in  farm  tractors:  An  econometric 
analysis.     Am.  J.  Agr.  Econ.  63:629-635. 
Prochaska.  F  J.  andJ  C  Cato 

1981.     Economic  conditions  in  the  Gulf  of  Mexico  shrimp 
industry:    1960-81.     Food   Resour.    Econ.   Staff 
Rep.,     Univ.  Florida,  Gainesville,  FL. 
Watson,  J  W .  Jr  .  and  C  McVea,  Jr 

1977.     Development  of  a  selective  shrimp  trawl  for  the 
southeastern  United  States  shrimp  fisheries.     Mar. 
Fish.  Rev,  39(101:18-24, 
Wilson,  R  R  ,  R  G  Thompson,  and  R  W  Callen, 

1970,  Optimal  investment  and  financial  strategies  in 
shrimp  fishing,  Dep.  Agr.  Econ.  Tech.  Rep,  TAMU-SG- 
70-218.     Texas  A&M  Univ. 

John  B  Penson,  Jr, 
Ernest  O,  Tetty 
Wade  L  Griffin 

Department  of  Agricultural  Economics 
Texas  A&M  University 
College  Station,  TX  77843-2124 


APPENDAGE  II^JURY  IN  DUNGENESS 

CRABS,  CANCER  M AGISTER,  IN 

SOUTHEASTERN  ALASKA 

The  Dungeness  crab,  Cancer  magister,  is  com- 
mercially important  along  the  western  coast  of 
the  United  States.  Like  many  decapod  crus- 
taceans, it  can  autotomize  and  regenerate  ap- 
j>endages  to  heal  wounds  and  limit  injury. 

Studies  of  appendage  injury  may  be  useful  in 
assessing  the  physical  condition  of  crustacean 
populations  and  the  impact  of  fishing  on  commer- 
cially important  species.  Incidences  of  appendage 
loss  in  the  field  have  been  reported  for  species  of 
crabs  other  than  C.  magister  (McVean  1976; 
McVean  and  Findlay  1979;  Needham  1953).  Ap- 
pendage loss  was  studied  in  adult  Dungeness 
crabs  in  Washington  (Cleaver  1949)  and  Oregon 
(Waldron  1958)  and  for  juvenile  crabs  in  the  Co- 
lumbia River  estuary  (Durkin  et  al.  1984). 

In  this  study  we  examined  adult  Dungeness 


crabs  in  southeastern  Alaska  to  determine  the 
incidence  of  missing,  regenerating,  and  damaged 
appendages.  Temporal  incidence  of  appendage  in- 
jury was  compared  to  the  molting  and  mating 
periods  of  the  crabs  and  to  the  commercial  fishing 
season  for  Dungeness  crabs. 

Materials  and  Methods 

Adult  Dungeness  crabs  were  collected  from  Icy 
Strait  and  the  Excursion  Inlet  fjord  near  Glacier 
Bay,  AK  (lat.  135°30'N,  long.  58°25'W),  from  May 
through  November  1984-85.  Data  were  obtained 
by  monthly  surveys  of  commercially  caught 
crabs.  Crab  pots  (Waldron  1958)  were  set  at 
depths  of  7  to  20  m  and  remained  in  the  water  for 
3  to  11  days.  All  crabs  were  held  in  live  tanks 
(<24  hours)  before  they  were  measured  on  board 
ship.  In  southeastern  Alaska,  pots  are  equipped 
with  escape  rings  to  permit  release  of  crabs  with 
carapace  widths  <165  mm,  but  sublegal-sized 
crabs  are  often  found  in  the  catch. 

Carapace  width  (excluding  the  10th  anterolat- 
eral spines),  wet  weight,  and  sex  were  recorded 
for  each  crab.  Carapace  condition  was  graded  as 
soft-shell  (recent  molt),  new-shell,  worn-shell,  or 
skip-molt  (Somerton  and  Macintosh  1983).  The 
number  and  identities  of  missing,  damaged,  or 
regenerating  chelipeds  and  walking  legs  were 
recorded.  An  appendage  with  a  cracked  cuticle  or 
missing  dactyl  was  considered  damaged.  Ap- 
pendages smaller  in  length  and  diameter  than 
intact  appendages  were  designated  regenerating. 
Combined  missing,  damaged,  and  regener- 
ating appendages  are  referred  to  as  injured 
appendages. 

Interrelationships  between  variables  were  de- 
termined with  Pearson  correlations  (SAS  1985). 
Means  were  compared  with  Student's  ^ -tests,  and 
chi-square  analyses  were  used  to  determine  if 
multiple  autotomies  occurred  by  chance  (Steel 
and  Torrie  1960).  Data  are  presented  as  means 
±  1  standard  error  of  the  mean. 

Results 

Males  comprised  65%  and  females  35%  of  the 
878  Dungeness  crabs  examined.  Average  cara- 
pace widths  were  169  ±  0.6  and  159  ±  0.7  mm  for 
males  and  females,  respectively.  Wet  weights 
were  1,102  ±  9  g  for  males  and  884  ±  14  g  for 
females.  The  greatest  number  of  female  crabs  was 
caught  in  July,  and  the  greatest  number  of  males 
in  August. 


156 


FISHERY  BULLETIN;  VOL  86,  NO,  1,  1988. 


Seventy-five  percent  of  the  crabs  were  intact, 
with  no  appendage  injuries.  Twenty-five  percent 
of  all  crabs  had  injured  limbs;  18%  had  missing, 
5%  had  regenerating,  and  2%  had  damaged  ap- 
pendages. No  relationship  existed  between  cara- 
pace width  and  appendage  injury. 

Most  of  the  Dungeness  crabs  sampled  were  in 
the  worn-shell  condition  (67%).  Twenty-eight  per- 
cent of  all  crabs  were  new-shelled.  Only  1%  were 
soft-shelled  and  4%  were  skip-molts.  Correlations 
between  carapace  condition  and  appendage  in- 
jury were  not  significant. 

No  significant  differences  existed  in  appendage 
injury  between  male  and  female  Dungeness 
crabs.  Injuries  were  bilaterally  symmetrical  ex- 
cept for  the  3d  walking  leg  which  was  missing 
more  frequently  on  the  left  side  (P  <  0.05).  Con- 
sidering only  those  crabs  with  missing  legs,  a 
total  of  246  legs  were  missing  with  a  mean  of 
1.5  ±0.1  missing  legs/crab.  Ninety-seven  crabs 
had  legs  missing  on  the  right  side  and  98  had  legs 
missing  on  the  left  side.  The  maximum  number  of 
missing  legs  per  crab  was  5.  Sixty  percent  of  the 
crabs  had  1  leg  missing,  20%  had  2  missing  legs, 
and  12%  were  missing  3  or  more  legs.  Of  the  crabs 
with  missing  legs,  63%  were  males  and  37%  were 
females. 

Forty  Dungeness  crabs  had  regenerating  legs, 
with  a  mean  of  1.2  ±  0.1  regenerating  legs  per 
crab.  Sixty  percent  of  those  crabs  had  1  regenerat- 
ing leg,  10%  had  2  regenerating  legs,  and  3%  had 
3  or  more  regenerating  legs.  The  maximum  num- 
ber of  regenerating  legs  per  crab  was  4.  Of  the 
crabs  with  regenerating  legs,  73%  were  males 
and  27%  were  females. 

Seventeen  crabs  had  damaged  appendages  with 
a  mean  of  1.1  ±  0.1  damaged  appendages/crab.  Of 
the  crabs  with  damaged  appendages,  82%  were 
males  and  18%  were  females. 

The  observed  number  of  Dungeness  crabs  with 
2  or  more  missing  appendages  was  significantly 
higher  (P  <0.01)  than  expected  for  both  sexes, 
indicating  that  appendage  loss  was  not  due  only 
to  chance. 

Appendage  injury  was  significantly  correlated 
with  date,  with  more  injuries  occurring  later  in 
the  year.  The  number  of  Dungeness  crabs  with 
missing  appendages  was  significantly  correlated 
with  date  for  both  males  and  females  (P  <  0.01). 
The  lowest  percentage  of  crabs  with  injured  ap- 
pendages occurred  in  July  (4.8%,  both  sexes  com- 
bined) and  increased  to  a  maximum  of  34.3%  in 
November.  The  percentage  of  male  crabs  with  re- 
generating appendages  did  not  vary  significantly 


over  time  and  was  about  6%  for  all  months.  How- 
ever, the  percentage  of  female  crabs  with  regener- 
ating legs  increased  from  0%  in  May  to  10.5%  in 
November  (P  <  0.01).  Male  crabs  with  damaged 
appendages  increased  from  0%  to  8.5%  from  May 
to  October  (P  <  0.05)  and  then  decreased  to  1.7% 
in  November. 

Chelipeds  and  1st  and  4th  walking  legs  were 
injured  most  frequently.  The  hierarchy  for  fre- 
quency of  injury  for  female  crabs  (chelipeds  >  4th 
walking  legs  >  1st,  2d,  and  3d  walking  legs)  dif- 
fered slightly  from  the  hierarchy  for  males  (che- 
lipeds >  1st  walking  legs  >  4th  walking  legs  >  2d 
and  3d  walking  legs).  Months  in  which  high  per- 
centages of  crabs  had  injured  chelipeds  also  had 
high  percentages  with  injured  1st  (males)  and  4th 
(females)  walking  legs  (Fig.  1). 

The  temporal  incidence  of  appendage  injury  in 
Dungeness  crabs  was  compared  to  life  history 
events  and  to  the  commercial  crab  fishing  season 
in  southeastern  Alaska  (Fig.  2).  The  season 
opened  15  June  and  closed  15  August,  reopened 
1  October  and  closed  28  February  1986.  Ap- 
pendage injuries  were  low  in  July  and  increased 
157%  from  July  to  August,  a  period  of  simulta- 
neous molting,  mating,  and  fishing.  An  addi- 
tional increase  in  appendage  injury  of  43%  oc- 
curred in  October,  even  though  the  fishery  was 
closed  from  16  August  to  30  September. 

Discussion 

Pot  samples  are  biased  towards  larger  sized 
Dungeness  crabs  because  of  the  size  of  the  mesh 
on  the  pot  and  the  presence  of  two  escape  rings 
with  diameters  of  11  cm.  However,  62%  of  the 
crabs  collected  for  this  study  were  either  male 
crabs  with  carapace  widths  <165  mm  or  were 
females.  Very  few  soft-shell  crabs  were  caught, 
even  though  molting  was  occurring  during  part  of 
the  sampling  period.  Our  dependence  on  commer- 
cial crabbers  for  data  collection  restricted  us  to 
sampling  mostly  during  the  open  fishing  season 
when  most  of  the  crabs  were  not  in  the  soft- 
shelled  condition. 

Twenty-five  percent  of  the  Dungeness  crabs 
sampled  in  southeastern  Alaska  had  appendage 
injuries.  In  other  studies  of  Dungeness  crabs  in 
Washington,  Oregon,  and  the  Columbia  River  es- 
tuary, 18%,  32%,  and  62%,  respectively,  of  the 
crabs  were  injured  (Cleaver  1949;  Waldron  1958; 
Durkin  et  al.  1984).  The  crabs  examined  in  our 
study  were  held  for  up  to  24  hours  in  crowded 
tanks  on  board  ship  before  being  measured  and 


157 


Appendage  Injury  in  Male  Crabs 


30 

25 


in 

01 

oi 

(O 

c 

01 

a. 
a. 

< 


B 


A ppendage  Injury  in  Fe m ale  Crabs 


m 

01 
C31 

ID 
T3 

C 
01 
Q 


30 


Figure  1. — Monthly  percentages  of  male  (A)  and  female  (B)  Dungeness  crabs  with  injured  (missing  +  regenerating  +  damaged) 

chelipeds  and  walking  legs. 


•o 

9 


60- 


50- 


4  0- 


30- 


20- 


1  0- 


FISHING 


d"  MOLTING 


9  MOLTING 


J 


FISHIlie 


1       15    31 
May 


—I 1 — T"^ — I      n — I 1 1 

15  30  15  31   15  31   15  30   15  31 
Jun     Jul     Aug     Sep    Oct 


s 
s 

s 
S 
s 
s 
s 

N 

s 
s 
s 
\ 
\ 
\ 
\ 


15     30 
Nov 


Males 


l\\l     Females 


Figure  2. — Temporal  relationships  of  percentages  of  male  and  female  Dun- 
geness crabs  with  injured  (missing  +  regenerating  +  damaged)  append- 
ages to  the  crabs'  molting  and  mating  periods  and  the  commercial  crab 
fishing  season  in  southeastern  Alaska. 


were  sometimes  observed  grasping  other  crabs, 
but  very  few  autotomized  limbs  were  found  in  the 
tanks. 

The  estimate  of  appendage  injury  may  be  low  if 
Dungeness  crabs  with  injured  appendages  were 
less  likely  to  enter  pots  than  intact  crabs.  In  an- 
other study,  the  observed  number  of  Carcinus 


maenas  missing  2  or  more  legs  was  higher  than 
expected  if  multiple  autotomies  occurred  by 
chance,  which  was  interpreted  to  mean  that  in- 
jured C.  maenas  enter  pots  as  readily  as  intact 
crabs  (McVean  1976).  Because  there  were  more 
Dungeness  crabs  with  2  or  more  missing  legs  in 
our  collections  than  would  be  expected  if  multiple 


158 


autotomies  occurred  by  chance  alone,  our  data 
could  be  similarly  interpreted  to  suggest  that 
Dungeness  crabs  with  injured  appendages 
showed  little  decrease  in  pot-entering  ability  and 
that  our  estimate  of  injury  was  accurate.  For  this 
interpretation  of  the  chi-square  results  to  be 
valid,  one  must  assume  that  all  injuries  occurred 
before  the  crabs  entered  pots  and  that  injury  did 
not  occur  within  the  pots. 

Appendage  injury  in  Dungeness  crabs  was  bi- 
laterally symmetrical  except  for  the  3d  walking 
leg.  Interestingly,  Easton  (1972)  demonstrated 
that  3d  walking  legs  of  Hemigrapsus  oregonensis 
were  the  most  easily  autotomized.  In  other  stud- 
ies, both  bilateral  symmetry  and  asymmetry  have 
been  reported  for  different  species  of  crabs 
(Durkin  et  al.  1984;  Needham  1953).  Asymmetri- 
cal appendage  loss  has  been  associated  with  crabs 
that  move  predominantly  in  one  direction,  while 
symmetrical  leg  loss  occurs  in  crabs  that  move 
randomly  (Needham  1953). 

The  chelipeds,  followed  by  the  1st  and  4th 
walking  legs,  were  most  vulnerable  to  injury. 
Limb  loss  has  been  correlated  in  other  studies 
with  degree  of  exposure  of  the  limb;  the  outermost 
limbs,  the  longest  limbs  and  limbs  with  postures 
that  afford  little  protection  are  most  frequently 
lost  (Needham  1953).  Anterior  limbs  are  lost 
more  frequently  than  posterior  limbs  (Needham 
1953).  The  chelipeds  are  the  most  anterior  and 
one  of  the  most  exposed  appendages  on  Dunge- 
ness crabs  and  are  frequently  used  in  aggressive 
threat  postures.  After  loss  of  chelipeds,  the  1st 
walking  legs  remain  as  the  most  anterior,  ex- 
posed limbs  and  therefore,  the  most  vulnerable. 
The  4th  walking  legs  are  the  most  posterior  and 
also  very  exposed  limbs  on  an  intact  crab. 

A  significantly  greater  number  of  Dungeness 
crabs  with  2  or  more  missing  legs  was  observed 
than  expected  if  multiple  autotomies  occurred  by 
chance,  indicating  an  increased  susceptibility  to 
subsequent  appendage  loss  after  initial  injury 
(Needham  1953;  Easton  1972). 

The  correlations  between  appendage  injury  and 
date  were  significant  but  may  not  be  biologically 
important.  Although  these  correlations  were  sig- 
nificant, the  r^  values  (square  of  the  coefficient  of 
variation)  were  low.  Increased  appendage  injury 
later  in  the  year  may  be  related  to  other  factors. 
Soak  times,  the  length  of  time  pots  were  left  in 
the  water,  were  longer  later  in  the  year.  Dunge- 
ness crabs  may  cannibalize  other  crabs  while  con- 
fined in  pots  (Waldron  1958).  There  may  also  be 
delays  between  time  of  injury  and  subsequent  au- 


totomy  and  regeneration.  Regeneration  of  legs  in 
Dungeness  crabs  is  usually  completed  after  2  or  3 
molts  (Cleaver  1949). 

Over  the  sampling  period,  only  b^c  of  all  crabs 
had  regenerating  appendages  while  187^  had 
missing  appendages.  The  discrepancy  may  be  due 
to  increased  mortality  of  the  crabs  following  in- 
jury (McVean  and  Findlay  1979),  or  by  the  effi- 
cient, yearly  removal  of  legal-sized,  injured  crabs 
by  the  commercial  fishery. 

When  temporal  incidence  of  appendage  injury 
was  compared  with  the  opening  and  closing  of  the 
commerical  Dungeness  crab  fishing  season,  con- 
siderable appendage  injury  occurred  when  the 
fishery  was  closed.  Closure  of  the  fishery  tradi- 
tionally occurs  during  the  crabs'  mating  period, 
when  a  high  percentage  of  soft-shelled  female 
crabs  are  present  in  the  population.  There  was, 
however,  some  overlap  in  late  July  and  early 
August  in  fishing,  molting,  and  mating.  Exclud- 
ing damage  by  humans,  potential  causes  of  ap- 
pendage injury  are  aggression  between  males 
competing  for  females,  the  cheliped-to-cheliped 
mating  embrace  of  Dungeness  crabs  that  can  last 
up  to  a  week,  cannibalism,  and  the  increased  vul- 
nerability of  females  which  molt  prior  to  mating 
(Butler  1960;  Durkin  et  al.  1984).  Damage  to 
Dungeness  crabs  can  also  result  from  other  fish- 
ing gear  such  as  trawls  (Reilly  1983),  but  no  other 
commercial  fisheries  occurred  in  the  study  area 
while  the  Dungeness  crab  fishery  was  closed. 

The  results  of  our  studies  indicate  that  Dunge- 
ness crabs  in  southeastern  Alaska  are  in  com- 
parable condition  to  adult  populations  of  Dunge- 
ness crabs  examined  in  Washington  and  Oregon, 
in  terms  of  appendage  injury.  Further  studies  are 
needed  to  investigate  the  effect  of  appendage  in- 
jury on  survival  of  Dungeness  crabs  and  the  con- 
tribution of  handling  injury  and  mortality  of 
crabs  in  the  commercial  fishery. 

Acknowledgements 

T.  Meyers  and  D.  Erickson  provided  technical 
assistance  for  which  we  are  very  appreciative.  We 
would  like  to  thank  T.  Olsen,  C.  Kondzela,  and 
D.  Sterritt  for  assistance  in  data  collection.  This 
research  was  funded  by  Alaska  Sea  Grant  project 
R/06-20. 


Literature  Cited 

Butler,  T.  H. 

1960.     Maturity  and  breeding  of  the  Pacific  edible  crab, 


159 


Cancer  magister  Dana.    J.  Fish.  Res.  Board  Can.  17:641- 

646. 
Cleaver,  F.  C. 

1949.     Preliminary  results  of  the  coastal  crab  {Cancer 

magister)  investigation.     Wash.  Dep.  Fish.,  Biol.  Rep. 

No.  49A,  82  p. 
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Reilly,  p.  N. 

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Somerton,  D.  a.,  and  R.  A.  MACINTOSH. 

1983.     Weight-size  relationships  for  three  populations  in 
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1958.  The  fishery  and  biology  of  the  Dungeness  crab 
(Cancer  magister  Dana)  in  Oregon  waters.  Fish  Comm. 
Oreg.,  Contrib.  24,  43  p. 

Susan  M.  Shirley 
Thomas  C.  Shirley 

Juneau  Center  for  Fisheries  and  Ocean  Sciences 
University  of  Alaska- Fairbanks 
11120  Glacier  Highway 
Juneau.  AK  99801 


REEXAMINATION  OF  THE  USE  OF  OTOLITH 
NUCLEAR  DIMENSIONS  TO  IDENTIFY 

JUVENILE  ANADROMOUS  AND 

NONANADROMOUS  RAINBOW  TROUT, 

SALMO  GAJRDNERI^ 

Otoliths  are  a  potential  source  of  taxonomic  char- 
acteristics for  identifying  stocks  offish  (Ihssen  et 
al.  1981).  Differences  in  dimensions  of  the  otolith 
nucleus  have  provided  a  basis  for  separating  win- 
ter from  summer  races  of  steelhead,  anadromous 
rainbow  trout,  Salmo  gairdneri.  In  addition, 
otoliths  provided  data  from  which  to  distinguish 
steelhead  from  resident  nonanadromous  forms  as 
well  (McKern  et  al.  1974;  Rybock  et  al.  1975). 
Neilson  et  al.  (1985)  studied  the  development  of 
sagittal  otoliths  in  resident  rainbow  trout  and 
steelhead  from  south-central  British  Columbia, 
and  identified  sources  of  variability  in  the  size  of 
otolith  nuclei.  However,  they  were  unable  to  find 
morphometric  differences  between  the  two  forms 
of  trout.  They  concluded  that  the  usefulness  of 
dimensions  of  the  otolith  nucleus  for  separating 
steelhead  from  resident  rainbow  trout  was  much 
more  limited  than  that  suggested  by  Rybock  et  al. 
(1975)  for  rainbow  trout  in  the  Deschutes  River, 
Oregon. 

The  difference  in  mean  length  of  the  otolith 
nuclei  between  the  rainbow  trout  studied  by  Ry- 
bock et  al.  (1975)  and  those  studied  by  Neilson  et 
al.  (1985)  suggested  either  population  differences 
or  differences  in  defining  the  nuclear  boundary. 
These  disparate  results,  which  led  to  opposite  con- 
clusions, limit  the  usefulness  of  measurements  of 
otolith  nuclei  for  the  racial  identification  of  juve- 
nile rainbow  trout  until  the  source  of  these  differ- 
ences is  better  understood.  Consequently,  to  de- 
termine whether  juveniles  of  the  two  forms  could 
be  distinguished  by  differences  in  dimensions  of 
otolith  nuclei,  we  measured  the  nuclei  in  sagittae 
from  steelhead  and  resident  rainbow  trout  col- 
lected from  the  same  Deschutes  River,  OR,  loca- 
tions used  by  Rybock  et  al.  (1975).  We  used  the 
definitions  proposed  by  Rybock  et  al.  and  by  Neil- 
son et  al.  (1985),  and  compared  our  measure- 
ments for  the  two  forms  with  each  other  and  with 
published  values. 


Methods 

Resident  rainbow  trout  and  steelhead  were  col- 


iQregon  State  University  Agricultural  Experiment  Station 
Technical  Paper  No.  8279. 


160 


FISHERY  BULLETIN:  VOL.  86,  NO.  1,  1988. 


lected  from  three  locations  in  the  Deschutes 
River,  OR.  Resident  rainbow  trout,  which  were 
collected  from  the  main  stem  near  the  mouth  of 
Nena  Creek  in  March  1985,  were  mature  and 
smaller  (280-450  mm  FL)  than  the  steelhead, 
and,  based  on  analyses  of  scales  and  otoliths 
(McKern  et  al.  1974),  had  never  entered  salt- 
water. Juvenile  progeny  of  steelhead  were  col- 
lected from  Round  Butte  Hatchery  on  the 
Deschutes  River  in  1984.  Wild  juvenile  rainbow 
trout  (<200  mm  FL)  of  unknown  parental  origin 
were  collected  in  1984  and  1985  from  Bakeoven 
Creek,  an  important  spawning  tributary  for  steel- 
head in  the  Deschutes  River. 

Sagittae  removed  from  rainbow  trout  were 
stored  in  90"^^  ethanol  for  up  to  two  months.  Be- 
fore they  were  viewed,  one  otolith  from  each  pair 
was  mounted  (concave  face  up)  with  epoxy  on  a 
glass  slide.  The  back  of  the  slide  was  blackened 
with  indelible  ink.  The  otolith  was  ground  by 
hand  with  600  grit  wet  sandpaper  and  periodi- 
cally inspected  under  a  light  microscope  at  100  x 
until  the  microstructure  of  the  nucleus,  as  de- 
scribed by  Neilson  et  al.  (1985),  was  visible.  The 
otolith  was  rinsed  with  59f  HCl  for  several  sec- 
onds to  remove  scratches  and  improve  resolution. 

To  reduce  bias,  we  coded  each  slide  with  a  ran- 
dom number  and  ordered  the  slides  sequentially 
for  viewing.  Otoliths  were  examined  with  a  Zeiss^ 
dissecting  microscope  at  125  x.  A  camera  lucida 
attachment  enabled  us  to  use  a  computer  digitizer 
to  measure  three  dimensions  of  the  otolith.  In 
measuring  length  and  width  of  the  central  nu- 
cleus, we  used  the  first  growth  increment  encir- 
cling all  the  central  primordia,  which  was  the 
nuclear  boundary  defined  by  Neilson  et  al.  (1985). 
In  addition,  we  measured  the  maximum  length 
along  the  longest  axis  through  an  area  defined  by 
the  first  metamorphic  check,  a  narrow  hyaline 
ring  surrounding  an  opaque  ring  with  a  hyaline 
center,  to  replicate  the  measurements  of  Rybock 
et  al.  (1975). 

We  used  analysis  of  variance  (ANOVA)  to  test 
for  significant  differences  in  each  dimension  of 
the  otolith  nuclei  among  groups  in  our  study. 
Where  adequate  data  were  available,  we  tested 
for  significant  differences  between  groups  in  our 
study  and  similar  groups  described  by  Rybock  et 
al.  (1975)  and  Neilson  et  al.  (1985)  for  mean  di- 
mensions of  otolith  nuclei.  Neilson  et  al.  (1985) 
showed  that  the  mean  length  of  otolith  nuclei  for 


rainbow  trout  incubated  at  6.5°C  was  signifi- 
cantly less  than  those  for  trout  incubated  at  9.5° 
or  15.0°C.  Because  of  this  discrepancy,  we  evalu- 
ated the  potentially  confounding  effects  of  incuba- 
tion temperature  on  the  comparisons  of  otolith 
dimensions  between  our  samples  and  those  of  Ry- 
bock et  al.  (1975),  by  testing  the  hypothesis  that 
water  temperatures  during  1967-69  were  higher 
than  those  during  1982-83.  We  used  a  paired  t- 
test  of  average  daily  water  temperatures  recorded 
by  the  U.S.  Geological  Survey  on  the  1st  and  15th 
day  of  each  month  from  1  January  to  1  August 
during  1967-69  and  1982-83  (U.S.  Department 
of  the  Interior  Geological  Survey  1967,  1968, 
1969, 1982, 1983 1.  These  dates  represent  the  incu- 
bation periods  for  most  of  the  resident  rainbow 
and  steelhead  trout  sampled  in  our  study  and  by 
Rybock  et  al.  (1975).  Incubation  temperature  for 
steelhead  at  Round  Butte  Hatchery  is  from  hatch- 
ery records.  We  estimated  spawning  and  incuba- 
tion periods  for  resident  rainbow  and  steelhead 
trout  on  the  basis  of  reports  of  the  Oregon  Depart- 
ment of  Fish  and  Wildlife  (Fessler  1972)  and  per- 
sonal observations. 

Results 

For  each  dimension,  we  failed  to  reject  the  hy- 
pothesis (a  =  0.05)  that  rainbow  trout  collected 
from  different  populations  for  our  study  had 
otolith  nuclei  of  the  same  size  (Table  1).  There- 
fore, we  concluded  that  these  dimensions  could 
not  be  used  to  discriminate  between  the  resident 
and  steelhead  forms  of  rainbow  trout  sampled  in 
our  study. 

Water  temperatures  during  1967-69  were 
slightly  greater  than  those  during  1982-83 
(t  =  2.03,  df  =  14,  P  =  0.03).  Mean  difference  be- 
tween the  two  periods  was  0.8°C.  Spawning  dates 
for  resident  rainbow  trout  and  steelhead  differ; 
steelhead  spawn  from  January  to  April  and  resi- 


Table  1. — Means,  standard  errors  (in  parentheses),  and  sample 
size  for  three  otolith  dimensions  in  resident  rainbow  trout  and  steel- 
head from  three  Deschutes  River  populations. 


2Reference  to  trade  name  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


Dimensions  of  nuclei 

Nucleus 

Nucleus 

Check 

Populations 

No  of 

length 

width 

length 

compared 

fish 

(mm) 

(mm) 

(mm) 

Resident 

44 

0.173 

0.070 

0.323 

rainbow  trout 

(0.006) 

(0.003) 

(0.012) 

Hatchery 

30 

0.190 

0.070 

0.349 

steelhead 

(0.006) 

(0.002) 

(0.009) 

Suspected 

32 

0.178 

0.069 

0.312 

wild  steelhead 

(0.006) 

(0.002) 

(0.007) 

161 


dent  rainbow  trout  spawn  from  May  to  mid-July 
(Fessler  1972).  Mean  water  temperature  during 
the  period  of  steelhead  egg  incubation  was  8.4°C 
for  1967-69  and  7.6°C  for  1982-83.  Mean  water 
temperature  during  the  period  when  resident 
rainbow  trout  eggs  were  incubating  in  the  main 
stem  of  the  river  was  12.6°C  in  1967-69  and 
11.9°C  in  1982-83.  Incubation  temperature  for 
steelhead  at  Round  Butte  Hatchery  was  10°C  and 
did  not  vary. 

The  dimensions  of  otolith  nuclei  from  resident 
rainbow  trout  and  steelhead  in  our  study  were 
indistinguishable  from  those  in  fish  from  British 
Columbia.  No  significant  difference  (a  =  0.05)  in 
mean  length  of  otolith  nuclei  existed  between  the 
British  Columbia  steelhead  incubated  at  9.5°  or 
15°C  and  suspected  wild  steelhead  from  Bakeoven 
Creek  or  Round  Butte  Hatchery  steelhead  incu- 
bated at  10°C.  Among  resident  rainbow  trout,  the 
mean  length  of  otolith  nuclei  for  fish  from  the 
Deschutes  River  was  also  not  significantly  differ- 
ent from  that  for  fish  from  British  Columbia  incu- 
bated at  9.5°  or  15°C.  Because  Rybock  et  al.  ( 1975) 
did  not  provide  variances,  we  were  unable  to  test 
the  hypothesis  that  means  from  our  study  coin- 
cided with  theirs.  However,  mean  length  and 
width  of  otolith  nuclei  in  our  study  were  29  and 
559c  less,  respectively,  for  resident  rainbow  trout 
and  49-70%  less,  respectively,  for  steelhead  than 
those  studied  by  Rybock  et  al.  (1975). 

Discussion 

The  similarity  of  our  results  to  those  of  Neilson 
et  al.  (1985),  who  used  similar  methods,  might  be 
expected  for  different  populations  under  similar 
genetic  and  environmental  control.  The  disparate 
results  of  our  study  and  that  of  Rybock  et  al. 
(1975)  for  the  same  populations  after  little  ge- 
netic change  (based  on  comparisons  of  unpub- 
lished, biochemical  genetic  data  for  these  popula- 
tions from  1972  to  1974  and  1984  to  1986)  and 
little  environmental  change  partly  reflected  the 
use  of  different  definitions  for  the  nucleus.  We 
defined  the  nuclear  boundary  as  the  first  growth 
ring  surrounding  all  the  fused  primordia, 
whereas  Rybock  et  al.  (1975)  defined  the  nucleus 
as  the  hyaline  area  in  the  center  of  the  otolith 
that  is  bounded  by  a  metamorphic  check  formed 
at  hatching;  they  resolved  the  check  by  rendering 
the  otolith  with  HCl.  We  also  measured  the 
length  of  the  check  surrounding  the  nucleus,  as- 
defined  by  Rybock  et  al.  (1975),  which  we  found 
either  to  correspond  with  the  area  enclosed  by  the 


first  check  or  to  increase  in  density  of  growth 
increments  surrounding  both  the  central  and  ros- 
tral primordia.  The  close  similarity  between  our 
estimate  for  Round  Butte  Hatchery  steelhead 
(0.349  mm)  and  the  mean  calculated  by  Rybock  et 
al.  (1975)  for  steelhead  (0.354  mm)  suggested  sim- 
ilar checks.  It  is  unclear,  however,  why  values  for 
resident  rainbow  trout  for  this  dimension  and  the 
results  of  tests  to  discriminate  races  differed  be- 
tween the  two  studies.  Rybock  (1973)  noted  that 
the  nuclear  check  could  not  be  distinguished  in 
29%  of  the  otoliths  and  that  the  use  of  HCl  may 
have  caused  the  frequent  confusion  between  the 
metamorphic  check  and  other  groups  of  daily 
growth  rings.  The  grinding  and  polishing  of 
otoliths  greatly  reduce  this  source  of  error.  Neil- 
son  et  al.  (1985)  also  discouraged  the  use  of  meta- 
morphic checks  as  boundaries  because  the  causal 
links  between  checks  and  developmental  events, 
such  as  hatching,  have  not  yet  been  established. 

Neilson  et  al.  (1985)  demonstrated  that  nuclear 
length  increased  significantly  with  increase  in  in- 
cubation temperature  from  6.5°  to  9.5°C  but  not 
from  9.5°  to  15°C.  Although  average  water  tem- 
peratures in  the  Deschutes  River  were  0.8°C 
lower  during  1982-83  than  in  1967-69,  it  is  un- 
likely that  such  differences  completely  explain 
the  greater  estimates  of  mean  length  and  width  of 
otolith  nuclei  in  the  earlier  study  by  Rybock  et  al. 
(1975).  Rybock  et  al.  (1975)  calculated  mean  nu- 
clear lengths  and  widths  of  0.354  and  0.230  mm 
for  steelhead  and  0.243  and  0.154  mm  for  resident 
rainbow  trout  in  the  Deschutes  River.  Our  esti- 
mates were  29-70%  less  than  their  estimates  for 
a  0.8°C  difference;  whereas  under  controlled  con- 
ditions in  British  Columbia,  mean  nuclear  length 
for  resident  rainbow  trout  at  6.5°C  was  18%  less 
for  resident  rainbow  trout  and  21%  less  for  steel- 
head than  the  nuclear  length  for  fish  incubated  at 
9.5°C,  a  difference  of  3°C  (Neilson  et  al.  1985). 

Comparisons  of  otolith  nuclear  dimensions  be- 
tween resident  rainbow  trout  and  steelhead  incu- 
bated at  similar  temperatures  would  establish 
whether  significant  differences  exist  for  these 
measurements  between  the  two  races  from  the 
Deschutes  River.  The  use  of  a  common  definition 
of  nuclear  boundaries  would  allow  better  com- 
parisons between  studies.  However,  given  the  dis- 
parate results  of  our  study,  which  were  similar  to 
the  results  of  Neilson  et  al.  (1985),  and  the  origi- 
nal study  for  steelhead  and  resident  rainbow 
trout  in  the  Deschutes  River,  as  well  as  our  fail- 
ure to  discriminate  between  races  using  both  nu- 
clear definitions  proposed  by  Neilson  et  al.  (1985) 


162 


and  Rybock  et  al.  (1975),  we  believe  that  popula- 
tion differences  do  not  explain  the  differences  in 
results  between  the  studies  of  Rybock  et  al.  (1975) 
and  Neilson  et  al.  (1985).  Furthermore,  our  study 
provided  strong  evidence  to  support  the  conclu- 
sion of  Neilson  et  al.  (1985)  that  the  usefulness  of 
measurements  of  otolith  nuclei  to  identify  sym- 
patric  juvenile  progeny  of  resident  rainbow  trout 
and  steelhead  reared  in  the  wild  may  be  limited. 

Acknowledgments 

We  thank  Jeff  Light  for  his  advice  on  grinding 
and  polishing  otoliths  to  resolve  their  nuclear  di- 
mensions and  Eric  Volk  for  his  review  of  this 
manuscript.  This  research  was  funded  by 
Bonneville  Power  Administration,  U.S.  Depart- 
ment of  Energy,  Agreement  No.  DE-A179- 
83BP13499. 

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Kenneth  P.  Currens 

Carl  B  Schreck 

Hiram  W.  Li 

Oregon  Cooperative  Fishery  Research  Unit 
Oregon  State  University 
Corvallis.  OR   973313 


3Cooperators  are  Oregon  State  University,  Oregon  Depart- 
ment of  Fish  and  Wildlife,  and  U.S.  Fish  and  Wildlife  Service. 


AGE-SPECIFIC  VULNERABILITY  OF 

PACIFIC  SARDINE,  SARDINOPS  SAGAX,  LARVAE 

TO  PREDATION  BY 

NORTHERN  ANCHOVY,  ENGRAULIS  MORDAX 

To  a  large  degree  interannual  variability  in  re- 
cruitment determines  the  size  of  pelagic  fish  pop- 
ulations. Recruitment  to  the  Pacific  sardine, 
Sardinops  sagax,  population  off  California  varies 
from  year  to  year  over  several  orders  of  magni- 
tude and  is  unrelated  to  spawning  stock  size 
(Murphy  1966;  MacCall  1979).  Variable  mortal- 
ity rates  in  the  first  year  of  life  must  determine 
year-class  strength,  although  the  sources  of  this 
variability  are  unknown.  Mortality  rates  in  the 
earliest  stages  are  size  specific  with  highest  rates 
in  the  egg  and  yolk-sac  stage  (Ahlstrom  1954; 
Butler  1987)  and  may  contribute  to  variability  in 
year-class  strength  (Smith  1985). 

The  sources  of  mortality  of  sardine  larvae  have 
yet  to  be  investigated.  In  other  pelagic  larvae, 
mortality  is  due  to  either  starvation  or  predation, 
and  starvation  is  significant  only  during  the  brief 
period  after  the  onset  of  feeding  (O'Connell  1980; 
Hewitt  et  al.  1985;  Theilacker  1986;  Owen  et  al. 
1987).  In  sardines,  significant  mortality  occurs 
during  the  egg  and  yolk-sac  stages  (Ahlstrom 
1954)  and  this  mortality  can  only  be  due  to  preda- 
tion. Variable  mortality  in  older  larval  and  juve- 
nile sardines  may  also  contribute  to  variability  in 
recruitment,  and  this  mortality,  as  in  other 
fishes,  may  also  be  due  to  predation  (Hunter 
1984). 

The  objective  of  this  paper  was  to  determine  the 
size-specific  vulnerability  of  Pacfiic  sardine  lar- 
vae to  predation  by  adult  northern  anchovies, 
Engraulis  mordax.  The  vulnerability  of  cape 
anchovy     and     northern     anchovy     larvae     to 


FISHERY  BULLETIN:  VOL.  86,  NO.  1,  1988. 


163 


cannibalism  has  been  investigated  by  Brownell 
(1985)  and  Folkvord  and  Hunter  ( 1986)  and  found 
to  be  an  important  source  of  mortality.  In  this 
paper  the  vulnerability  of  sardine  larvae  will  be 
compared  with  that  of  anchovy  larvae  and  differ- 
ences in  the  biology  of  sardines  and  anchovies 
will  be  discussed. 

Our  approach  was  to  observe  the  avoidance  be- 
havior of  Pacific  sardine  larvae  in  response  to 
predatory  attacks  by  northern  anchovy  adults. 
Adult  northern  anchovy  were  chosen  as  a  preda- 
tor because  the  northern  anchovy  was  the  most 
abundant  pelagic  fish  in  the  California  Current 
region  during  the  waning  years  of  the  sardine 
fishery  and  because  its  planktivorous  diet  in- 
cludes fish  eggs  and  larvae  (Loukashkin  1970; 
Hunter  and  Kimbrell  1980). 


Materials  and  Methods 
Experimental  Fishes 

The  Pacific  sardine  larvae  used  in  the  experi- 
ments were  reared  from  eggs  spawned  in  the  lab- 
oratory. Adult  Pacific  sardines  were  collected  off 
San  Diego  and  held  in  175  m"^  aquarium  for  six 
months.  Males  and  females  with  developing  go- 
nads were  isolated  in  spawning  tanks  and  in- 
jected with  250  mg  human  chorionic  go- 
nadotropin and  on  the  following  day  injected  with 
200  units  pregnant  mare  serum  and  20  mg 
salmon  pituitary  extract.  On  the  third  day  fertil- 
ized eggs  were  collected  from  the  spawning  tank. 
Larval  rearing  procedures  follow  those  described 
by  Hunter  (1976).  Temperature  in  the  rearing 
tanks  was  maintained  at  21°C. 


Apparatus  and  Procedures 

Experimental  apparatus  and  procedures  were 
the  same  as  those  described  by  Folkvord  and 
Hunter  (1986)  but  will  be  briefly  outlined  here. 
Experimental  predators  were  two  groups  of  5 
adult  northern  anchovy  (range  of  standard 
lengths  8.4-9.2  cm).  Predators  were  maintained 
in  two  rectangular  fiberglass  tanks  (0.75  x  2.15 
X  0.83  m  =  1.35  m"^)  and  fed  adult  brine  shrimp 
except  on  days  of  experimental  observation.  Sea- 
water  was  supplied  continuously  to  the  tanks  ex- 
cept during  experiments.  The,  temperature  in  the 
observation  tank  ranged  from  16.2°  to  22.8°C 
(mean  =  20.1°C).  Two  100  W  incandescent  lamps 
produced  2,000-3,000  mc  at  the  surface  of  each 
tank.  A  black  plastic  tent  enclosing  a  window  on 


one  side  of  the  tank  provided  a  darkened  observa- 
tion chamber. 

Each  trial  consisted  of  the  encounter  of  three 
prey  with  the  predators.  Prey  were  introduced 
into  the  observation  tank  with  a  clear  glass 
beaker.  Initial  feeding  behavior  of  the  predators 
is  quite  variable  but  becomes  less  variable  as  the 
predators  become  accustomed  to  prey  in  the  tank. 
For  this  reason,  prior  to  each  experiment  adult 
Artemia  were  introduced  as  prey  for  five  consecu- 
tive trials  to  standardize  predator  behavior.  After 
the  preliminary  trials  with  Artemia,  three  trials 
with  sardine  larvae  were  alternated  with  one 
trial  with  brine  shrimp  until  18  trials  with  sar- 
dine larvae  were  completed.  Each  experiment 
was  concluded  with  a  trial  of  brine  shrimp  to  test 
for  satiation. 

The  number  of  observations  for  each  larval  size 
class  was  the  total  number  of  predator-prey  inter- 
actions observed  among  larvae  in  that  size  class. 
The  mean  standard  length  was  determined  from 
20  larvae  sampled  randomly  from  the  rearing 
tank  on  the  day  of  each  behavior  experiment.  The 
numbers  of  observations  for  each  size  class  (mean 
SL)  were  8.0  mm,  41;  11.3  mm,  51;  12.1  mm,  114; 
12.7  mm,  46;  14.1  mm,  81;  17.6  mm,  104;  and  19.6 
mm,  69.  Experiments  were  not  extended  to  larger 
sizes  due  to  insufficient  numbers  of  larvae. 

Classification  of  Behavior 

Prey  behavior  was  scored  only  when  the  preda- 
tor attacked  a  prey.  Four  measures  of  predator- 
prey  interactions  were  calculated:  predator  at- 
tack distance,  the  distance  from  which  the 
predator  responded  to  the  prey  and  initiated  its 
attack;  frequency  of  avoidance  response;  fre- 
quency of  escapes;  and  predation  rate  (percentage 
of  larvae  captured  during  the  5-min  trials).  An 
avoidance  response  was  a  change  in  speed  or  tra- 
jectory of  a  larvae  before  the  predator  had  com- 
pleted its  attack  by  closing  its  mouth.  An  escape 
was  defined  as  a  larval  response  in  which  the 
predator  failed  to  capture  the  larvae  in  a  single 
attack.  Typically  adult  anchovy  make  a  single 
attack  on  a  prey  item  and  do  not  pursue  a  prey 
that  escapes  (Folkvord  and  Hunter  1986)  but 
rather  continue  searching  the  tank.  Thus  attacks 
on  one  prey  item  were  recorded  twice  if  the  first 
attack  was  unsuccessful.  Although  predator  at- 
tack distance  was  recorded,  this  measurement  is 
highly  subjective  and  comparison  with  the  meas- 
urements of  other  observers  is  suspect.  We  did  not 
analyze  predator  attack  distance  for  this  reason. 


164 


To  compare  response  and  escape  behaviors  of 
Pacific  sardine  with  those  reported  by  Folkvord 
and  Hunter  (1986)  for  northern  anchovy  at  simi- 
lar stages  of  development,  mean  lengths  were 
converted  to  ages  using  field  growth  rates  back- 
calculated  from  otolith  increment  widths  for  each 
species.  Confidence  limits  of  the  percentage  of  lar- 
vae responding  or  escaping  attack  were  estimated 
assuming  the  binomial  distribution. 

Results 

Probability  of  Response  to  Attack 

The  youngest  larval  stages  of  both  sardine  and 
anchovy  were  the  most  vulnerable  to  predation. 
Only  n7c  of  8  mm  sardine  larvae  (smallest  size 
tested)  responded  to  attack  by  adult  anchovy. 
With  increasing  size  more  sardine  larvae  re- 
sponded to  attack.  At  20  mm,  the  largest  size 
tested,  61%  of  the  larvae  responded  to  attack.  The 
response  rate  of  Pacific  sardine  larvae  was  consis- 
tently lower  than  that  of  northern  anchovy  larvae 
of  similar  lengths  (Fig.  1).  Although  this  differ- 
ence in  responsiveness  could  be  due  to  differences 
in  the  observer,  it  may  also  be  explained  by  the 
difference  in  age  of  anchovy  and  sardine  at  the 
same  length.  Sardine  larvae  are  about  6.2  mm 
when  they  begin  feeding  (age  =  5  days  from  fertil- 
ization at  17°C),  whereas  first-feeding  anchovy 
larvae  are  only  about  4.3  mm  (age  =  5  days  from 
fertilization  at  17°C)  (Zweifel  and  Lasker  1976). 
Sardine  larvae  also  grow  faster  than  anchovy  lar- 


100 


o    80  1- 

z 

a. 

O     60 

(A 


U 
OC 


40 


20   - 


ANCHOVY 


V.-- 


SARDINE 


8  12  16 

LENGTH  (mm) 


24 


Figure  1. — Increase  by  size  of  the  percentage  of  Pacific  sardine 
larvae,  Sardinops  sagax,  and  northern  anchovy  larvae,  En- 
graulis  mordax,  responding  to  attack  by  adult  northern  an- 
chovy and  95%  confidence  intervals.  Data  on  anchovy  larvae 
from  Folkvord  and  Hunter  (1986). 


vae  at  the  same  temperature  (Butler  and  Rojas  de 
Mendiola  1985).  Thus,  sardine  larvae  are  younger 
at  a  given  size  than  anchovy  larvae. 

Since  the  latency  of  response  to  attack  must  be 
related  to  the  development  of  the  central  nervous 
system  (Webb  1981;  Webb  and  Corolla  1981),  it 
may  be  more  appropriate  to  compare  sardine  lar- 
vae with  anchovy  larvae  of  the  same  age.  For  that 
reason  lengths  of  the  larvae  of  both  species  were 
converted  to  age  using  growth  rates  measured  in 
the  field  (Methot  and  Kramer  1979;  Butler  1987). 
Comparison  of  the  percentage  of  larvae  respond- 
ing to  attack  at  a  given  age  (Fig.  2)  reveals  no 
significant  difference  in  the  rate  of  development 
of  response  to  attack.  Thus,  the  escape  response 
develops  at  the  same  rate  in  Pacific  sardine  and 
northern  anchovy,  and  the  difference  in  propor- 
tion of  larvae  responding  at  a  given  size  (Fig.  1) 
is  due  to  the  difference  of  size  at  hatching  and 
the  difference  in  growth  rates  of  the  two 
species. 


100 


o 

z 

a. 
< 
O 
If) 

LU 


o 

OC 
UJ 
Q. 


80  - 


60  - 


40 


20 


- 

_                                                                               h 

ANCHOVY    .      -'- 

-                                                                        -| 

r  .••■■ 

..?' 

r     .■■••• 

r           J 

^ 

L 

,         [ 

kj 

•■••n 

1 ' 

1 

SARDINE 

1 

10 


20 
AGE  (days) 


30 


40 


Figure  2. — Increase  by  age  of  the  percentage  of  Pacific  sardine 
larvae,  Sardinops  sagax,  and  northern  anchovy  larvae,  En- 
graulis  mordax,  responding  to  attack  by  adult  northern  an- 
chovy and  95%  confidence  intervals.  Size  categories  of  reared 
larvae  have  been  converted  to  ages  using  growth  rates  esti- 
mated from  the  field.  Data  on  anchovy  larvae  from  Folkvord 
and  Hunter  (1986). 


Probability  of  Escaping  Attack 

The  ability  to  successfully  avoid  attack  in- 
creased with  size  of  Pacific  sardine  as  well  as 
northern  anchovy.  Few  small  larvae  of  either  spe- 
cie escaped  attack  by  adult  northern  anchovy. 
Only  3%  of  8  mm  sardine  larvae  escaped  attack 
and  the  percentage  of  larvae  escaping  increased 
to  only  11%  for  17  mm  larvae  and  13%  for  20  mm 


165 


larvae  (Fig.  3).  The  proportion  of  small  anchovy 
larvae  escaping  attack  was  also  low  {67c )  but  in- 
creased with  size  to  737r  of  22  mm  larvae 
(Folkvord  and  Hunter  1986).  The  numbers  of  lar- 
vae escaping  attack  were  significantly  different 
between  anchovy  and  sardines  at  sizes  larger 
than  about  13  mm.  Conversion  of  lengths  to  age 
using  field  growth  rates  does  not  eliminate  the 
differences  between  sardine  and  anchovy  (Fig.  4). 
Sardine  larvae  older  than  20  days  were  more  vul- 
nerable to  predation  than  anchovy  larvae  of  the 
same  age  (Fig.  4). 


100  I— 


o 

z 

5 

z 
o 
a 

V) 


z 

lU 

O 
a. 

UJ 
Q. 


80 


60 


40 


20 


ANCHOVY    .f 

V..--  ■ 


-SARDINE 


8  12  16 

LENGTH  (mm) 


20 


24 


Figures. — Increase  by  size  of  the  percentage  of  Pacific  sardine 
larvae,  Sardinops  sagax,  and  northern  anchovy  larvae,  En- 
graulis  mordax,  escaping  attack  by  adult  northern  anchovy  and 
95'^  confidence  intervals.  Data  on  anchovy  larvae  from 
Folkvord  and  Hunter  (1986). 


1  \J\J 

_ 

I 

i     80 

- 

-] 

p 

.,.•'1 

o 

z 
o 

Q.      60 
V) 

\u 
a. 

^     40 
o 

- 

. 

1 

ANC 

i-  < 

HO 

r>-' 

1 

UJ     20 

~                    < 

■.C-^' 

J- 

SARDINE 

0 

,       ^ 

-l_.        1 

1                 F                 t                 r 

c 

)              1 

0 

20                  30 

40 

A 

GE  ( 

days) 

Figure  4. — Increase  by  age  of  the  percentage  of  Pacific  sardine 
larvae,  Sardinops  sagax,  and  northern  anchovy  larvae,  En- 
graulis  mordax,  escaping  attack  by  adult  northern  anchovy  and 
95%  confidence  intervals.  Size  categories  of  reared  larvae  have 
been  converted  to  ages  using  growth  rates  estimated  from  the 
field.  Data  on  anchovy  larvae  from  Folkvord  and  Hunter  (1986). 


Discussion 

The  proportion  of  Pacific  sardine  larvae  re- 
sponding to  attack  and  escaping  attack  increased 
with  size  and  with  age.  Our  results  differ  from 
those  reported  by  Folkvord  and  Hunter  (1986)  for 
anchovy  larvae  in  the  rate  at  which  sardine  lar- 
vae respond  and  escape  attacks  at  given  sizes  and 
ages.  It  should  be  noted  that,  although  the 
methodology  was  the  same,  the  observers  were 
different.  This  difference  could  affect  rate  of  re- 
sponse to  attack.  It  also  should  be  noted  that  the 
size  of  adult  anchovy  used  by  Folkvord  and 
Hunter  (1986)  ranged  from  83  to  89  mm  SL, 
whereas  the  size  range  was  84-95  mm  SL  in  our 
study  and  that  the  size  of  predator  influences  the 
number  of  larvae  escaping  (Folkvord  and  Hunter 
1986).  The  slightly  larger  size  of  predators  used  in 
this  study  is  not  sufficient  to  explain  difference  in 
escapement,  nor  is  the  difference  in  observer 
likely  to  affect  the  rate  of  escapement  since  the 
observer's  task  is  to  examine  whether  the  larvae 
are  escaping  or  are  being  eaten. 

The  greater  vulnerability  to  predation  of  sar- 
dine larvae  than  anchovy  larvae  has  interesting 
implications.  In  general,  larger  larvae  are  less 
vulnerable  to  predation  than  small  larvae.  Bailey 
(1984)  and  Bailey  and  Batty  (1983)  compared  the 
vulnerability  of  cod,  flounder,  plaice,  and  herring 
larvae  to  predation  by  invertebrate  predators. 
They  found  that  herring  larvae  were  the  least 
vulnerable  larvae  because  herring  were  more  re- 
active and  had  the  greatest  escape  speeds.  Sar- 
dine larvae  are  larger  at  hatching  and  at  a  given 
age  are  larger  than  anchovy  larvae.  In  our  exper- 
iment sardine  larvae  react  to  predatory  attacks  at 
similar  rates  as  anchovy  larvae,  but  escape  attack 
at  a  much  lower  rate. 

This  difference  in  vulnerability  to  attack  may 
be  due  to  differences  in  swimming  behavior.  An- 
chovy larvae  swim  using  beat  and  glide  locomo- 
tion (Hunter  1972).  The  escape  behavior  is  usu- 
ally a  burst  of  swimming  from  a  motionless 
position  (Folkvord  and  Hunter  1986).  We  ob- 
served that  sardine  larvae,  however,  swim  contin- 
uously and  they  respond  to  attack  by  changing 
direction  and  increasing  speed.  This  difference  in 
swimming  mode  may  affect  escape  behavior  in 
two  ways.  The  escape  behavior  of  sardine  larvae 
may  be  less  flexible  than  that  of  anchovy  larvae 
because  the  direction  the  sardine  larvae  takes  is 
largely  determined  by  its  trajectory.  Since  sar- 
dine larvae  cruise,  their  scope  for  activity  (escape 
behavior)  may  be  limited.  Anchovy  larvae  accel- 


166 


erate  from  a  standing  start  and  have  the  possibil- 
ity of  moving  in  a  number  of  directions.  We  spec- 
ulate that  the  beat  and  glide  behavior  of  anchovy 
larvae  may  not  only  be  hydrodynamically  more 
efficient  (Weihs  1974)  but  also  may  reduce  the 
vulnerability  to  predation. 

Acknowledgments 

Roderick  Leong  maintained  sardines  in  the  lab- 
oratory and  spawned  the  adults  after  manipula- 
tion with  hormones.  Sandor  Kaupp  reared  sar- 
dine larvae  in  the  laboratory.  Arild  Folkvord  and 
Clelia  Booman  elaborated  experimental  proce- 
dures. John  R.  Hunter  commented  on  the 
manuscript. 

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ZWEIFEL,  J  E  ,  AND  R.  LaSKER 

1976.  Prehatch  and  posthatch  growth  of  fishes — a  general 
model.     Fish.  Bull.,  U.S.  74:609-621. 


John  L.  Butler 
Darlene  Pickett 


Southwest  Fisheries  Center 

National  Marine  Fisheries  Service,  NOAA 

P.O.  Box  271 

LaJolla.CA  92117 


167 


INDUCTION  OF  SPAWNING  IN 
THE  WEAKFISH,  CYNOSC/ON  REGALIS 

Reproductive  activity  in  the  weakfish,  Cynoscion 
regalis,  is  associated  with  extensive,  north-south 
migrations  that  result  in  spawning  in  the  estuar- 
ies of  the  Middle  Atlantic  Bight  during  the  late 
spring  and  early  summer.  Spawning  is  appar- 
ently related  to  increasing  water  temperature 
and  day  length,  but  there  have  been  no  experi- 
mental investigations  of  specific  factors  that  con- 
trol this  process  in  the  weakfish.  In  contrast,  gen- 
eral aspects  of  the  reproductive  biology  of  the 
species  are  well  known  (reviewed  by  Mercer 
1983).  Both  males  and  females  become  sexually 
mature  at  1  year  of  age,  and  remain  sexually 
active  throughout  their  lifespan  (10^  years). 
Spawning  involves  external  fertilization  of  eggs 
by  pairs  or  small  aggregations  of  fish. 

There  has  been  limited  study  of  larval  develop- 
ment in  the  laboratory,  and  descriptions  of 
growth  and  development  of  larval  weakfish  come 
entirely  from  field  investigations  (Lippson  and 
Moran  1974).  Weakfish  larvae  resulting  from 
gametes  stripped  from  sexually  mature  adults 
captured  in  the  field  have  been  reared  for  a  few 
days  on  natural  zooplankton  diets  (Public  Service 
Electric  and  Gas  Company  1984),  but  no  informa- 
tion is  available  on  mortality  or  growth  rates  on 
prescribed  diets  and  rations.  In  contrast,  Houde 
and  Taniguchi  (1981)  and  Taniguchi  (1981,  1982) 
have  conducted  extensive  investigations  of  the  ef- 
fects of  diet,  ration,  and  temperature  on  growth 
and  survival  of  larval  spotted  seatrout,  Cynoscion 
nebulosus,  under  laboratory  conditions.  Similar 
studies  have  been  conducted  with  other  sciaenids 
including  red  drum,  Sciaenops  ocellatus  (Holt  and 
Arnold  1983;  Holt  et  al.  1981),  spot,  Leiostomus 
xanthurus  (Powell  and  Gordy  1980),  and 
bairdiella,  Bairdiella  icistia  (May  1974). 

The  present  paper  describes  a  technique  for  in- 
duction of  spawning  in  a  laboratory  population  of 
weakfish  and  provides  preliminary  information 
on  early  development  and  growth  of  weakfish  lar- 
vae. 


Methods 

Sixteen  adult  weakfish,  C.  regalis,  (approxi- 
mately 30-45  cm  and  0.5-1.5  kg)  were  captured 
in  September  1984  in  Delaware  Bay  by  hook-and- 
line.  Five  of  these  fish  were  dissected  and  found  to 
have  regressed  gonads.  The  remaining  11  fish 
were  placed  in  two  large  tanks  (2,000  L)  con- 


nected to  a  20,000  L  recirculating  system  that 
delivered  temperature-controlled  seawater  to 
each  tank  at  10  L/minute.  Water  in  the  recircu- 
lating system  was  replaced  approximately 
monthly.  Ordinary  white  room  light  was  provided 
by  two  1.25  m  fluorescent  lamps  positioned  1  m 
above  the  surface  of  the  water  in  each  tank.  Ini- 
tial conditions  in  the  tank  were  similar  to  ambi- 
ent conditions  in  Delaware  Bay  in  September: 
18°-19°C,  30%c,  and  12  hours  light:12  hours  dark. 
Temperature  and  salinity  in  the  tanks  were  mea- 
sured daily  and  pH  approximately  weekly.  The 
pH  was  maintained  between  7.0  and  7.6  by 
additions  of  new  seawater  to  the  system;  this  was 
accomplished  by  replacing  40%  of  the  water  in  the 
system  with  new  seawater  approximately 
monthly. 

Fish  began  to  feed  5-7  days  after  capture.  Diet 
consisted  of  an  ad  libitum  ration  of  sliced  squid 
with  weekly  additions  of  penaeid  shrimp  or  fresh 
calf  liver.  After  approximately  one  month  in  the 
laboratory,  the  fish  were  subjected  to  a  prescribed 
regimen  of  temperature  and  photophase  (Fig.  1). 
Temperatures  were  lowered  and  light  phase 
shortened  over  a  period  of  three  weeks  until  con- 
ditions reached  8  hours  light,  13°-14°C;  this  ap- 
proximated winter  conditions  on  the  continental 
shelf  off  Cape  Hatteras  where  adult  fish  are 
known  to  overwinter  (Merriner  1976).  Fish  were 
held  under  these  conditions  for  11  weeks  after 
which  temperature  was  gradually  raised  and 
light  phase  increased  until  spring  conditions  of  14 
hours  light  and  22°-23°C  were  reached.  Fish  were 
held  at  these  conditions  throughout  a  period  of 
extended  spawning  activity.  After  spawning  ac- 
tivity ceased,  six  newly  captured  fish  were  placed 
in  the  system  to  replace  fish  that  had  died  during 
the  previous  year,  and  the  process  of  gradually 
changing  temperature  and  photoperiod  to  winter 
conditions  was  repeated  (Fig.  1). 

Fertilized  eggs  were  buoyant  and  exited  the 
tanks  at  the  surface  via  stand  pipes  that  emptied 
into  a  sump  tank.  The  drain  was  located  at  the 
bottom  of  the  sump  tank  allowing  eggs  to  accu- 
mulate at  the  water  surface.  The  presence  or  ab- 
sence of  eggs  in  the  sump  was  determined  daily 
with  a  fine-meshed  dip  net.  After  collection,  eggs 
from  each  spawning  were  allowed  to  hatch  in  20  L 
plastic  aquaria  filled  with  5.0  ixm  filtered  sea- 
water at  30%c  and  23°C.  Eggs  exposed  to  gentle 
aeration  under  these  conditions  hatched  in  24-36 
hours. 

Larvae  were  cultured  in  2  L  beakers  filled  with 
filtered  seawater  (25°C,  30%f,  and  5  mg/liter 


168 


FISHERY  BULLETIN:  VOL  86,  NO.  1,  1988. 


MAY  JUNE  JULY  AUG  SEPT 


o 

LU 
IT 

a: 

Ld 
Q_ 


25 
24 
23 

22 

21 

20  H 
19 
18 
17 
16 
15-1 
14 
13 
12 
II 
10 


▼  T 


16 

C/) 

3 

O 

1^ 

X 

X 

8 

1- 

(3 

-z. 

4 

LU 

_l 

>- 

0 

< 

O 

OCT  NOV 


DEC 


JAN 


FEB  MAR  APR 


MAY 


Figure  1. — Temperature-photophase  regime  used  to  condition  northern  weakfish,  Cynoscion  regalis,  to  spawn 
in  the  laboratory.  Values  are  7-d  means.  Standard  deviations  are  plotted  for  temperature.  Arrows  on  time  axis 
indicate  dates  of  spawning.     A  =  1984-85.     B  =  1985-1986. 


169 


chloramphenicol)  at  a  density  of  25  larvae/liter. 
Larvae  were  fed  rotifers,  Brachionis  plicatilis,  be- 
ginning two  days  after  hatching;  on  the  seventh 
day  after  hatching,  brine  shrimp  Artemia  sp. 
were  added  to  the  diet. 

Early  larval  development  from  spawning  to 
first  feeding  was  determined  for  larvae  from  three 
separate  spawnings.  Newly  hatched  larvae  (6-15 
hours  old)  were  pipetted  into  an  aquarium  and 
10-15  removed  immediately  and  preserved  in 
70%  ethanol.  Additional  larvae  were  sacrificed 
daily  for  nine  days.  These  samples  were  examined 
to  relate  early  development  and  age. 

Results  and  Discussion 

Three  adult  fish  died  of  undermined  causes  dur- 
ing the  period  of  winter  conditions  in  1984-85. 
Four  additional  fish  died  after  jumping  from  the 
tanks.  The  initial  spawning  by  the  remaining 
population  of  four  fish  occurred  five  weeks  after 
spring  conditions  were  achieved.  This  was  fol- 
lowed the  next  day  by  another  spawning.  Spawn- 
ing continued  for  nine  weeks  at  10-14  d  intervals. 
Spawning  episodes  usually  consisted  of  produc- 
tion of  fertilized  eggs  over  2  successive  days. 
While  actual  spawning  was  never  observed,  it  al- 
ways occurred  between  sunset  and  08:00  the  fol- 
lowing day. 

After  cessation  of  spawning,  the  four  fish  were 
removed  from  the  tanks  and  their  sex  deter- 
mined. Two  of  the  fish  drummed  when  handled 
and  were  clearly  males.  At  least  one  (and  proba- 
bly both)  of  the  two  remaining  fish  were  females. 
The  fish  were  returned  to  the  system  after  exam- 
ination. 

The  temporal  sequence  of  the  spawning  events 
(two  successive  days  at  10-14  d  intervals)  sug- 
gests that  each  female  may  have  spawned  as 
many  as  four  times  during  the  9-wk  period.  This 
is  in  contrast  to  reports  for  natural  populations  of 
C.  regalis  (e.g.,  Merriner  1976),  but  has  been 
reported  for  laboratory  populations  of  other 
sciaenid  fishes.  For  example,  Arnold  (1984)  ob- 
served 82  spawning  events  in  a  laboratory  popu- 
lation of  12  C.  nebulosus  over  a  27-mo  period  and 
52  spawning  events  in  a  similar  population  of  six 
S.  ocellatus  over  a  3-mo  period.  It  is  not  clear  why 
the  C.  regalis  in  our  investigation  ceased  spawn- 
ing after  several  months  of  long  days  and  high 
temperatures  while  the  C.  nebulosus  in  Arnold's 
system  continued  to  spawn  over  a  much  longer 
period.  Perhaps  this  is  related  to  the  smaller  an- 
nual variation  in  photophase  and  temperature 


typical  of  C.  nebulosus  habitats.  However,  go- 
nadal resorption  has  been  reported  for  at  least 
one  other  sciaenid  species  iB.  icistia)  held  in  the 
laboratory  for  extended  periods  of  long  day-length 
(May  1974). 

Spawning  from  the  1985-86  conditioning  pe- 
riod first  occurred  four  weeks  after  spring 
conditions  were  reached  with  a  second  spawning 
nine  days  later.  Further  spawning  in  the  1985- 
86  population  did  not  occur  because  of  an 
unidentified  infection  resulting  in  the  death  of  all 
10  fish  in  the  system  over  a  period  of  a  few  weeks. 
Autopsies  revealed  that  all  fish  had  highly 
developed  ovaries  or  testes  at  the  time  of 
death. 

Newly  hatched  larvae  (6-15  hours  old)  had  a 
yolk  sac,  no  mouth,  and  little  development  of  the 
eyes.  By  24-36  hours  after  hatching,  the  yolk  sac 
had  been  virtually  absorbed,  the  mouth  was  just 
beginning  to  form,  and  the  eyes  were  not  yet  pig- 
mented. By  48-60  hours,  larvae  had  a  completely 
formed  mouth  and  digestive  system,  and  the  eyes 
were  pigmented.  Larvae  were  capable  of  feeding 
at  this  stage. 

Chloramphenicol  improved  larval  survival, 
which  was  as  high  as  24%  over  11  days.  This 
survival  is  comparable  to  that  reported  for  other 
sciaenid  larvae  (Holt  et  al.  1981;  Houde  and 
Taniguchi  1981;  Holt  and  Arnold  1983).  However, 
growth  was  less  than  the  maximum  seen  in  the 
laboratory  for  C.  nebulosus.  After  11  days  C.  re- 
galis larvae  in  the  present  experiments  had 
grown  from  a  mean,  posthatching  size  of  2.7  mm 
(36  fxg  dry  weight)  to  4.5  mm  (235  \i.g  dry  weight). 
In  contrast  Houde  and  Taniguchi  (1981)  found 
that  one  group  of  C.  nebulosus  larvae  reached  a 
size  of  13.6  mm  (7,082  fxg  dry  weight)  in  12  days 
when  reared  on  a  concentrated  ration  of  natural 
zooplankton  at  very  low  stocking  density  and 
high  temperature  (32°C).  However,  when  fed  a 
rotifer  diet  at  comparable  temperatures  and 
stocking  densities,  growth  of  C.  nebulosus  larvae 
was  somewhat  less  than  that  of  C.  regalis  larvae 
in  the  present  experiments. 

Our  results  show  that  the  spawning  cycle  of 
weakfish  can  be  manipulated  to  produce  repeated 
spawnings  without  the  aid  of  hormone  injections. 
While  the  fish  appear  to  resorb  their  gonadal  tis- 
sue after  several  months  of  exposure  to  long  day 
length  and  high  temperature,  the  differential  ma- 
nipulation of  several  groups  of  fish  could  allow 
year-round  production  of  fertilized  eggs.  Further- 
more, survival  and  growth  of  larvae  produced  in 
this  manner  appear  comparable  to  survival  and 


170 


growth  of  other  sciaenids  reared  in  the  labora- 
tory. 

Acknowledgments 

This  study  was  supported  by  funds  provided  by 
the  University  of  Delaware  Sea  Grant  College 
Program  and  by  the  U.S.  Department  of  Fish  and 
Wildlife  through  the  Delaware  Department  of 
Natural  Resources  and  Environmental  Control. 
Paul  Cosby,  Big  John  Ellsworth,  Anne  Marie  Ek- 
lund,  John  Ewart,  Paul  Grecay,  Anne  Hastings, 
Kathleen  Little,  Leslie  Picoult,  and  Peter  Rowe 
were  indispensible  in  the  capture,  care,  and  feed- 
ing of  the  adult  and  larval  weakfish  used  in  the 
investigation. 

Literature  Cited 

Arnold,  C  R 

1984.  Maturation  and  spawning  of  marine  finfish.  In 
Carl  J.  Sindermann  (editor).  Proceedings  of  the  seventh 
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27.  U.S.  Dep.,  NOAA  Tech.  Rep.  NMFS  10. 
Holt,  G  J  ,  and  C  R.  Arnold 

1983.     Effects  of  ammonia  and  nitrite  on  growth  and  sur- 
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Holt,  G  J ,  R  Godbout,  and  C  R.  Arnold 

1981.     Effects  of  temperature  and  salinity  on  egg  hatching 
and    larval    survival    of    red    drum,    Sciaenops    ocel- 
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Houde,  E  D..  and  a  K  Taniguchi 

1981.  Marine  fish  larvae  growth  and  survival.  Effects  of 
density-dependent  factors:  spotted  seatrout  iCynoscion 
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LiPPSON,  A  J ,  and  R  L.  Moran 

1974.     Manual  for  identification  of  early  developmental 
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1974.  Effects  of  temperature  and  salinity  on  fertilization, 
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acclimation  on  embryonic  and  larval  salinity  toler- 
ance. Fish.  Bull.,  U.S.  73:1-22. 
Mercer.  L  P. 

1983.     A    biological    and    fisheries    profile    of  weakfish, 
Cynoscion  regalis.     N.C.  Dep.  Nat.  Resour.  Comm.  Dev. 
Div.  Mar.  Fish.,  Spec.  Sci.  Rep.  No.  39,  107  p. 
Merriner,  J  V. 

1976.     Aspects  of  reproductive  biology  of  the  weakfish, 
Cynoscion  regalis,  in  North  Carolina.     Fish.  Bull.,  U.S. 
76:18-26. 
Powell,  A  B ,  and  H  R  Gordy 

1980.  Egg  and  larval  development  of  the  sp)ot  Leiosto- 
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Public  Service  Electric  and  Gas  Company. 

1984.  Salem  Generating  Station  316  (b)  Demonstration. 
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ment with  the  Salem  Generating  Station.  Public  Ser- 
vice Electric  and  Gas  Company,  Newark,  NJ. 

Taniguchi,  A  K. 

1981.  Survival  and  growth  of  larval  spotted  seatrout 
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abundance  and  stocking  densities.  Rapp.  P. -v.  Reun. 
Cons.  int.  Explor.  Mer  178:507-508. 

1982.  Growth  efficiency  estimates  for  laboratory-reared 
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ference, p.  6-11.  Louisiana  State  University, 
Cooperative  Fishery  Research  Unit,  Baton  Rouge,  LA. 

Charles  E  Epifanio 

David  Goshorn 

Timothy  E.  Targett 

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171 


ERRATA 

Fishery  Bulletin:    Vol.  85,  NO.  4 

Botton,  Mark  L.,  and  John  W.  Ropes,     "Populations  of  horseshoe  crabs,  Limulus 
polyphemus ,  on  the  northwestern  Atlantic  continental  shelf,"     p.  809. 

Page  809,  Table  3,  footnote  was  omitted: 

'Depth  at  the  end  of  this  tow  was  439  m 

Henwood,  Tyrrell  A.,  and  Warren  E.  Stuntz,     "Analysis  of  sea  turtle  captures  and 
mortalities  during  commercial  shrimp  trawling,"     p.  814. 

Page  814,  paragraph  1,  line  3,  the  equation  should  read: 

E  =  (nets  *  length/30.5  m)  *  (min/60) 


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charge  and  50  supplied  to  his  organization.  No  covers 
will  be  supplied. 


Contents — Continued 

CURRNES,  KENNETH  P.,  CARL  B.  SCHRECK,  and  HIRAM  W.  LI.     Reexamina- 
tion of  the  use  of  otolith  nuclear  dimensions  to  identify  juvenile  anadromous  and  -^ 
nonanadromous  rainbow  trout,  Salmo  gairdneri   160 

BUTLER,  JOHN  L.,  and  DARLENE  PICKETT.  Age-specific  vulnerability  of 
Pacific  sardine,  Sardinops  sagax,  larvae  to  predation  by  northern  anchovy,  En- 
graulis  mordax 163 

EPIFANIO,  CHARLES  E.,  DAVID  GOSHORN,  and  TIMOTHY  E.  TARGETT. 
Induction  of  spawning  in  the  weakfish,  Cynoscion  regalis    168 


GPO  791-008 


kt^' 


Co. 


Fishery  Bulletin 


•^'■^rEs  o< 


P^^^^^^^^ 


Vol.  86,  No.  2 


ocr^8 


ms 


April  1988 


Migratibns-  of  jjoho'  sa^lmon, 


PEARCY,  WILLIAM  G.,  and  JOSEPH  P.  FISHI 

Oncorhynchus  kisutch,  during  their  first  summer  in  the  ocifta'n-?'*.^.^*^.;^^.  T?: . . .     173 

DUTIL,  J.-D.  and  J.-M.  COUTU.  Early  marine  Hfe  of  Atlantic  salmon/Sa?7m> 
salar,  postsmolts  in  the  northern  Gulf  of  St.  Lawrence 197 

MURPHY,  MICHAEL  L.,  JOHN  F.  THEDINGA,  and  K  V.  KOSKI.  Size  and  diet 
of  juvenile  Pacific  salmon  during  seaward  migration  through  a  small  estuary  in 
southeastern  Alaska 213 

BOLZ,  GEORGE  R.,  and  R.  GREGORY  LOUGH.  Growth  through  the  first  six 
months  of  Atlantic  cod,  Gadus  morhua ,  and  haddock,  Melanogrammus  aeglefinus , 
based  on  daily  otolith  increments 223 

NYMAN,  ROBERT  M.,  and  DAVID  O.  CONOVER.  The  relation  between  spawn- 
ing season  and  the  recruitment  of  young-of-the-year  bluefish,  Pomatomus  salta- 
trix ,  to  New  York   237 

JAHN,  A.  E.,  D.  M.  GADOMSKI,  and  M.  L.  SOWBY.  On  the  role  of  food-seeking 
in  the  suprabenthic  habit  of  larval  white  croaker,  Genyonemus  lineatus  (Pisces: 
Sciaenidae)    251 

WILLIAMS,  AUSTIN  B.  New  marine  decapod  crustaceans  from  waters  influenced 
by  hydrothermal  discharge,  brine,  and  hydrocarbon  seepage 263 

MARTIN,  JOEL  W.,  FRANK  M.  TRUESDALE,  and  DARRYL  L.  FELDER.  The 
megalopa  stage  of  the  Gulf  stone  crab,  Menippe  adina  Williams  and  Felder,  1986, 
with  comparison  of  megalopae  in  the  genus  Menippe 289 

SHENKER,  JONATHAN  M.  Oceanographic  associations  of  neustonic  larval  and 
juvenile  fishes  and  Dungeness  crab  megalopae  off  Oregon 299 

DAGG,  M.  J.,  P.  B.  ORTNER,  and  J.  AL-YAMANI.  Winter-time  distribution  and 
abundance  of  copepod  nauplii  in  the  northern  Gulf  of  Mexico 319 

HERRNKIND,  WILLIAM  F.,  MARK  J.  BUTLER  IV,  and  RICHARD  A.  TANKERS- 
LEY.  The  effects  of  siltation  on  recruitment  of  spiny  lobsters,  Panulirus 
argus 331 

KIRKLEY,  JAMES  E.,  and  DALE  E.  SQUIRES.  A  limited  information  approach 
for  determining  capital  stock  and  investment  in  a  fishery  339 

POLACHECK,  TOM.  Analyses  of  the  relationship  between  the  distribution  of 
searching  effort,  tuna  catches,  and  dolphin  sightings  within  individual  purse  seine 
cruises    351 


(Continued  on  back  cover) 


Seattle,  Washington 


U.S.  DEPARTMENT  OF  COMMERCE 

C.  William  Verity,  Jr.,  Secretary 

NATIONAL  OCEANIC  AND  ATMOSPHERIC  ADMINISTRATION 
William  E.  Evans,  Under  Secretary  for  Oceans  and  Atmosphere 

NATIONAL  MARINE  FISHERIES  SERVICE 

James  W.  Brennan,  Assistant  Administrator  for  Fisheries 


Fishery  Bulletin 

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National  Marine  Fisheries  Service,  NCAA 

P.O.  Box  271 

La  Jolla,  CA  92038 

Editorial  Committee 


Dr.  Jay  Barlow 

National  Marine  Fisheries  Service 

Dr.  William  H.  Bayliff 

Inter-American  Tropical  Tuna  Commission 

Dr.  George  W.  Boehlert 

National  Marine  Fisheries  Service 


Dr.  Robert  C.  Francis 
University  of  Washington 

Dr.  James  R.  Kitchell 
University  of  Wisconsin 

Dr.  William  J.  Richards 
National  Marine  Fisheries  Service 


Dr.  Bruce  B.  CoUette 

National  Marine  Fisheries  Service 


Dr.  Tim  D.  Smith 

National  Marine  Fisheries  Service 


Mary  S.  Fukuyama,  Managing  Editor 


The  Fishery  Bulletin  (ISSN  0090-0656)  is  published  quarterly  by  the  Scientific  Publications  Office,  National  Marine  Fisheries  Service, 
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Fishery  Bulletin 

CONTENTS  /  LIBRARY 

OCT  2  8  )98g         ' 

Vol.  86,  No.  2  I  April1988 

PEARCY,  WILLIAM  G.,  and  JOSEPH  P.  FISHERi..,Migrfcns  of  coho  salr^^n,     : 
Oncorhynchus  kisutch ,  during  their  first  summer  in  thr  nrrTHl  i  i  ,  J.73 

DUTIL,  J.-D.  and  J.-M.  COUTU.  Early  marine  life  of  Atlantic  salmon,  Salmo 
salar,  postsmolts  in  the  northern  Gulf  of  St.  Lawrence 197 

MURPHY,  MICHAEL  L.,  JOHN  F.  THEDINGA,  and  K  V.  KOSKI.  Size  and  diet 
of  juvenile  Pacific  salmon  during  seaward  migration  through  a  small  estuary  in 
southeastern  Alaska 213 

BOLZ,  GEORGE  R.,  and  R.  GREGORY  LOUGH.  Growth  through  the  first  six 
months  of  Atlantic  cod,  Gadus  morhua ,  and  haddock,  Melanogrammus  aeglefinus , 
based  on  daily  otolith  increments 223 

NYMAN,  ROBERT  M.,  and  DAVID  O.  CONOVER.  The  relation  between  spawn- 
ing season  and  the  recruitment  of  young-of-the-year  bluefish,  Pomatomus  salta- 
trix ,  to  New  York    237 

JAHN,  A.  E.,  D.  M.  GADOMSKI,  and  M.  L.  SOWBY.  On  the  role  of  food-seeking 
in  the  suprabenthic  habit  of  larval  white  croaker,  Genyonemus  lineatus  (Pisces: 
Sciaenidae)    251 

WILLIAMS,  AUSTIN  B.     New  marine  decapod  crustaceans  from  waters  influenced 

by  hydrothermal  discharge,  brine,  and  hydrocarbon  seepage 263 

MARTIN,  JOEL  W.,  FRANK  M.  TRUESDALE,  and  DARRYL  L.  FELDER.  The 
megalopa  stage  of  the  Gulf  stone  crab,  Menippe  adina  Williams  and  Felder,  1986, 
with  comparison  of  megalopae  in  the  genus  Menippe 289 

SHENKER,  JONATHAN  M.  Oceanographic  associations  of  neustonic  larval  and 
juvenile  fishes  and  Dungeness  crab  megalopae  off  Oregon 299 

DAGG,  M.  J.,  P.  B.  ORTNER,  and  J.  AL-YAMANI.     Winter-time  distribution  and 

abundance  of  copepod  nauplii  in  the  northern  Gulf  of  Mexico 319 

HERRNKIND,  WILLIAM  F.,  MARK  J.  BUTLER  IV,  and  RICHARD  A.  TANKERS- 
LEY.  The  effects  of  siltation  op  recruitment  of  spiny  lobsters,  Panulirus 
argus 331 

KIRKLEY,  JAMES  E.,  and  DALE  E.  SQUIRES.     A  limited  information  approach 

for  determining  capital  stock  and  investment  in  a  fishery   339 

POLACHECK,  TOM.  Analyses  of  the  relationship  between  the  distribution  of 
searching  effort,  tuna  catches,  and  dolphin  sightings  within  individual  purse  seine 
cruises    351 


(Continued  on  next  page ) 


Seattle,  Washington 


1988 


For  sale  by  the  Superintendent  of  Documents,  U.S.  Government  Printing  OfTice,  Washing- 
ton DC  20402 — Subscription  price  per  year:  $16.00  domestic  and  $20.00  foreign.  Cost  per 
single  issue:  $9.00  domestic  and  $11.25  foreign. 


Contents — Continued 

WATSON,  CHERYL,  ROBERT  E.  BOURKE,  and  RICHARD  W.  BRILL.  A  compre- 
hensive theory  on  the  etiology  of  burnt  tuna    367 

BROWN-PETERSON,  NANCY,  PETER  THOMAS,  and  CONNIE  R.  ARNOLD. 
Reproductive  biology  of  the  spotted  seatrout,  Cynoscion  nebulosus,  in  South 
Texas    373 


Notes 

CHEN,  CHE-TSUNG,  TZYH-CHANG  LEU,  and  SHOOU-JENG  JOUNG.  Notes 
on  reproduction  in  the  scalloped  hammerhead,  Sphyrna  lewini,  in  northeastern 
Taiwan  waters  389 

COLLINS,  MARK  R.,  and  CHARLES  A.  WENNER.  Occurrence  of  young-of-the- 
year  king  Scomberomorus  cavalla,  and  Spanish,  S.  maculatus,  materials  in 
commercial-type  shrimp  trawls  along  the  Atlantic  coast  of  the  southeast  United 
States  394 

DEW,  C.  BRAXTON.  Stomach  contents  of  commercially  caught  Hudson  River 
striped  bass,  Morone  saxatilis ,  1973-1975 397 

VERNET,  MARIA,  JOHN  R.  HUNTER,  and  RUSSELL  D.  VETTER.  Accumula- 
tion of  age  pigments  (lipofuscin)  in  two  cold-water  fishes 401 

MULLIN,  M.  M.,  and  E.  R.  BROOKS.  Extractable  lipofuscin  in  larval  marine 
fish    407 

Notices:  NOAA  Technical  Reports  published  during  the  last  6  months  of  1987  . . .      416 


The  National  Marine  Fisheries  Service  (NMFS)  does  not  approve,  recommend  or 
endorse  any  proprietary  product  or  proprietary  material  mentioned  in  this  publi- 
cation. No  reference  shall  be  made  to  NMFS,  or  to  this  publication  furnished  by 
NMFS,  in  any  advertising  or  sales  promotion  which  would  indicate  or  imply  that 
NMFS  approves,  recommends  or  endorses  any  proprietary  product  or  proprietary 
material  mentioned  herein,  or  which  has  as  its  purpose  an  intent  to  cause  directly 
or  indirectly  the  advertised  product  to  be  used  or  purchased  because  of  this  NMFS 
publication. 


MIGRATIONS  OF  COHO  SALMON,  ONCORHYNCHUS  KISUTCH , 
DURING  THEIR  FIRST  SUMMER  IN  THE  OCEAN 

William  G.  Pearcy  and  Joseph  P.  Fisher' 

ABSTRACT 

Marked  juvenile  coho  salmon  caught  in  fine-meshed  purse  seines  during  the  summers  of  1981-84  off 
Oregon  and  Washington  generally  demonstrated  northward  migrations  from  their  rivers  of  ocean 
entrance.  Northward  movements  in  summer  were  preceded  by  southerly  movements  during  spring, 
probably  caused  by  southerly  advection.  Catch  rates  and  sizes  offish  caught  in  different  months  and 
regions  of  the  coast  also  indicated  northerly  movements  of  both  yearling  and  subyearling  coho 
salmon.  Despite  this  movement,  the  average  catch  of  juvenile  coho  salmon  per  purse  seine  set  along 
the  coasts  of  Washington  and  Oregon  in  late  summer,  including  marked  fish  from  the  Columbia 
River,  was  still  a  substantial  proportion  of  that  in  May  and  June  soon  after  ocean  entrance,  suggest- 
ing that  many  coho  did  not  migrate  great  distances.  Additionally,  recoveries  of  marked  juvenile  coho 
salmon  by  sports  and  commercial  fishermen  from  Alaska  to  California  and  by  scientists  in  Alaska 
were  generally  in  the  region  of  release.  These  data  indicate  that  migrations  of  juvenile  coho  are  of 
limited  extent  during  their  first  summer  in  the  ocean  and  are  not  strong  support  for  an  earlier 
conclusion  that  juvenile  coho  salmon  from  the  Columbia  River,  Oregon,  and  California  may  form  a 
large  proportion  of  the  stocks  of  this  species  that  migrate  northward  along  the  coastal  belt  in  Cana- 
dian and  Alaskan  waters  each  summer. 


Although  there  has  been  Httle  research  on  juve- 
nile salmon  during  their  first  summer  at  sea,  this 
phase  of  the  life  history  may  be  critical  to  survival 
and  recruitment  to  fisheries  (Hartt  1980).  High- 
est ocean  mortality  is  thought  to  occur  early  in 
marine  life  (Foerster  1968;  Parker  1968;  Ricker 
1976).  Production  (catch  and  escapement)  of  adult 
coho  salmon,  Oncorhynchus  kisutch,  in  the  Ore- 
gon Production  Index  (OPI)  Area  (from  Leadbet- 
ter  Point,  WA,  to  Monterey  Bay,  CA)  is  usually 
accurately  predicted  in  one  year  by  the  number  of 
precocious  males  (jacks)  returning  to  index 
streams  in  the  previous  year  (Gunsolus  1978;  Or- 
egon Department  of  Fish  and  Wildlife  1982; 
Pacific  Fishery  Management  Council  1986). 
Hence  survival  from  jacks  to  adults  is  fairly  con- 
stant from  year  to  year.  Because  survival  rates 
from  smolt  to  adult  are  variable  (Nickelson  1986), 
however,  variable  year-class  survival  must  occur 
before  the  time  that  jacks  return,  after  only  a  few 
months  in  the  ocean.  This  relationship,  and  the 
positive  correlation  between  coastal  upwelling 
and  survival  of  OPI  coho  salmon  (Gunsolus  1978; 
Scarnecchia  1981;  Nickelson  1986),  strongly  sug- 
gest that  the  first  few  months  in  the  ocean  consti- 
tute the  "critical  period"  in  determining  subse- 
quent adult  survival. 


iCollege  of  Oceanography,  Oregon  State  University,  Corval- 
lis,  OR  97331. 


Between  1976  and  1985  the  production  of  coho 
salmon  in  the  OPI  area  drastically  declined,  de- 
spite large  increases  in  the  number  of  public  and 
private  smolt  releases  (Oregon  Department  of 
Fish  and  Wildlife  1982;  Nickelson  1986).  Reduced 
upwelling  and  ocean  productivity,  perhaps  cou- 
pled with  density-dependent  mortality,  is  one  of 
the  hypothesized  causes  for  this  decrease  in  sur- 
vival (Scarnecchia  1981;  Peterman  and  Rout- 
ledge  1981;  McCarl  and  Rettig  1983;  McGie  1984; 
Nickelson  1986).  To  understand  the  mechanisms 
affecting  survival  of  juvenile  salmonids  at  sea,  we 
must  first  know  where  salmon  reside  at  the  time 
of  their  high  and  variable  mortality.  Are  the 
smolts  highly  migratory,  immediately  leaving 
local  coastal  waters  and  migrating  into  waters  of 
the  Gulf  of  Alaska  (Hartt  and  Dell  1986),  or  are 
they  nonmigratory,  spending  their  early  ocean 
life  in  local  coastal  waters? 

This  paper  summarizes  research  on  the  move- 
ments and  migrations  of  coho  salmon  during  their 
first  summer  in  the  ocean  in  the  northeastern 
Pacific  Ocean  based  on  purse  seine  catches  made 
mainly  in  coastal  waters  off  Oregon  and  Wash- 
ington. A  few  records  of  migrations  of  tagged  ju- 
venile (age  .0)^  coho  salmon  were  given  by  God- 


Manuscript  accepted  November  1987. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


2The  numeral  preceding  and  following  the  decimal  indicate 
the  number  of  winters  spent  in  fresh  water  and  in  the  ocean, 
respectively. 

173 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


frey  (1965)  and  French  et  al.  (1975),  but  by  far  the 
most  comprehensive  data  were  provided  by  Hartt 
(1980)  and  Hartt  and  Dell  (1986).  All  of  these 
studies,  however,  were  based  on  recovery  of  ma- 
ture or  maturing  coho  in  the  year  following  tag- 
ging and  on  tagging  in  northern  waters  from  the 
Strait  of  Juan  de  Fuca  to  the  Alaska  Peninsula. 
The  only  other  studies  of  juvenile  salmon  in  the 
ocean  off  Washington  and  Oregon  have  been  re- 
stricted to  within  24  km  of  the  Columbia  River 
(Dawley  et  al.  1981)  or  to  coastal  waters  during 
1980  (Miller  et  al.  1983).  Our  1979-85  research, 
covering  large  areas  along  the  coast,  provides  ex- 
tensive and  unique  data  on  the  movements  of  ju- 
venile coho  salmon  during  their  first  summer  in 
the  ocean. 

METHODS 

Purse  seines,  our  primary  sampling  method, 
were  used  to  sample  juvenile  salmonids  during 
1979-85  (Table  1).  Cruises  were  in  coastal  waters 
off  Oregon  in  1979-80,  off  Oregon  and  southern 
Washington  in  1981,  and  off  Oregon  and  the  en- 
tire Washington  coast  during  the  summers  of 
1982-85  (Fig.  1).  During  July  1984,  sets  were  also 
made  from  northern  California  (lat.  40°32'N)  to 
northern  Vancouver  Island  (50°26'N).  Except  for 
the  exploratory  cruises  off  Oregon  in  1979  and 
1980,  purse  seine  sets  were  usually  made  along 
east-west  transect  lines  (Fig.  1).  Sets  started  at 
the  37  m  (20-fathom)  contour,  and  continued  at 
9.3  km  (5-mi)  intervals  farther  offshore,  usually 
until  no  salmonids  were  captured.  Repeat  sets 


were  sometimes  made  when  fish  with  missing 
adipose  fins  were  common,  indicating  the  pres- 
ence of  coded  wire  tagged  (CWT)  fish.  In  1985, 
special  sets  were  made  in  the  vicinity  of  the  Co- 
lumbia River  plume.  Detailed  sampling  data  are 
provided  in  Pearcy  (1984)  and  our  cruise  reports 
(Wakefield  et  al.  1981;  Fisher  et  al.  1982,  1983; 
Fisher  and  Pearcy  1984,  1985). 

The  mesh  size  of  the  seines  were  the  same  dur- 
ing all  years,  32  mm  (stretch),  with  32  mm  or 
smaller  mesh  in  the  bunts  of  the  seines.  The  seine 
was  495  m  long  except  in  1981  (457  m).  Depths 
that  seines  fished,  sometimes  measured  with  a 
depth  gauge  on  the  lead  line,  varied  among  years 
from  about  20  m  to  65  m  (Table  1). 

Generally,  purse  seine  sets  were  "round  hauls", 
where  the  seiner  and  the  skiff  made  a  circle  with 
the  net.  The  seine  was  fully  pursed  after  about 
one-half  its  length  was  aboard  (half-purse  sets). 
All  sets  were  "blind".  We  attempted  to  use  sonar 
on  some  cruises  to  locate  concentrations  of  sal- 
monids but  were  unsuccessful.  Radar  was  some- 
times used  to  determine  the  distance  between  the 
seiner  and  the  skiff  when  a  semicircle  was  made 
with  the  net.  Each  round  haul  encompassed  about 
17,000  m2  (1981)  or  19,000  m2  (1979-85).  To  de- 
termine the  direction  of  movement  of  fish,  eight 
"half-round"  hauls,  or  "semicircular"  sets,  were 
made  in  1979,  where  the  entire  net  formed  an 
open  semicircle.  Paired  sets  were  made  in  close 
succession,  with  sets  open  in  a  northern  and  a 
southern  direction,  at  four  locations.  The  seine 
was  open  for  the  same  duration  (15-45  minutes, 
depending  on  location)  in  each  paired  set  while 


Table  1. — Summary  of  number  of  purse  seine  sets  and  latitudinal  range  of  sampling,  1979-85. 


Dates  of 

No.  of 

Purse 

seine 

Lengtfi 

Depthi 

Year 

cruises 

setsi 

Latitudinal  range  of  sampling 

(m) 

(m) 

1979 

18-29  June 

56 

Cape  Disappointment  to  Cape  Arago 

46°20' 

-43°18' 

495 

20 

1980 

20-28  June 

36 

Cape  Disappointment  to  Alsea  River 

46°20' 

-44°30' 

495 

20 

1981 

16-25  May 

63 

Willapa  Bay  to  Alsea  River 

46°35' 

-44°25' 

495 

20 

9-18  June 

67 

Willapa  Bay  to  Cut  Creek 

46°35' 

-43°1 1 ' 

495 

20 

9-19  July 

67 

Willapa  Bay  to  Alsea  River 

46°35' 

-44°25' 

457 

49 

8-19  Aug. 

66 

Willapa  Bay  to  Cut  Creek 

46°36' 

-44°1 1 ' 

457 

49 

1982 

19  May-2  June 

62 

Waatch  Point  to  Siuslaw  River 

48°2r 

-44°00' 

495 

265 

7-22  June 

57 

Quinault  River  to  Yachiats 

47°21 ' 

-44°20' 

495 

265 

4-14  Sept. 

42 

Quinault  River  to  Yachats 

47°20' 

-44°19' 

495 

265 

1983 

16-27  May 

56 

Waatcfi  Point  to  Yachats 

48°2r 

-44°20' 

495 

249 

9-27  June 

58 

Waatcfi  Point  to  Four  Mile  Creek 

48°20' 

-43°00' 

495 

249 

15-24  Sept. 

53 

Waatch)  Point  to  Coos  Bay 

48°20' 

-43°28' 

495 

249 

1984 

4-20  June 

69 

Waatcfi  Point  to  Coos  Bay 

48''20' 

-43°27' 

495 

249 

9  July-3  Aug. 

65 

Winter  Harbor,  B.C.  to  False  Cape.  CA 

50°26' 

-40°32' 

495 

249 

1-15  Sept. 

63 

Waatcfi  Point  to  Siuslaw  River 

48°20' 

-44°00' 

495 

249 

1985 

29  May-25  June 

112 

Sea  Lion  Rock  to  Coos  Bay 

48°00' 

-43°27' 

495 

225 

^Quantitative  sets. 
^Measured  with  depth  guage. 


174 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


Figure  l. — Locations  of  purse  seine  transects 
off  the  Oregon  and  Washington  coasts. 


WAATCH    POINT 
SEA    LION    ROCK 
DESTRUCTION    ISLAND 

QUINAULT    RIVER 

GRAYS     HARBOR 

WILLAPA     BAY 

CAPE    DISAPPOINTMENT 

SEASIDE 

NEHALEM    BEACH 

CAPE    LOOKOUT 

WECOMA     BEACH 

YAOUINA     HEAD 

YACHATS 
SIUSLAW    RIVER 

COOS      BAY 
FOUR     MILE     CREEK 


125 


124" 


the  vessel  and  skiff  towed  the  seine  only  fast 
enough  to  maintain  a  constant  net  opening. 

The  purse  seine  catches  were  either  dip-netted 
from  the  bunt  of  the  seine  while  it  was  alongside 
the  vessel,  brailed  aboard,  or  hauled  aboard  in  the 
bunt,  depending  on  the  composition  and  size  of 
the  catch. 

In  1979  and  1980,  juvenile  salmon  preserved  in 
formalin  were  identified  ashore.  In  1981-85,  ju- 
venile salmon  were  identified  to  Species  at  sea, 
fork  length  (FL)  was  measured  to  the  nearest  mil- 


limeter and  then  they  were  individually  wrapped 
in  labelled  plastic  bags  and  frozen.  All  salmonids 
with  marks  or  missing  adipose  fins  were  frozen. 
When  large  numbers  of  juvenile  salmonids  were 
caught  in  a  set,  most  unmarked  fish  were  re- 
leased after  they  were  measured. 

In  order  to  increase  the  numbers  of  marked  fish 
released  into  our  study  area  we  marked  about  1.5 
million  coho  smolts  in  1981  and  835,000  in  1982 
using  fluorescent  pigment  propelled  by  com- 
pressed air  (see  Phinney  et  al.  1967)  prior  to  their 


175 


FISHERY  BULLETIN:  VOL.  86.  NO.  2 


transport  from  Oregon  Aqua-Foods,  Inc.  (OAF) 
hatchery  to  their  ocean  release  facilities  at 
Yaquina  Bay  or  Coos  Bay,  OR. 

In  the  laboratory  ashore,  species  identifications 
were  confirmed  and  individuals  remeasured  and 
reexamined  for  both  fluorescent  marks  (under  ul- 
traviolet light  1981-82)  and  missing  adipose  fins 
or  other  marks  (1979-85).  Coded-wire  tags  from 
the  heads  of  salmonids  with  missing  adipose  fins 
were  decoded  by  personnel  from  the  Oregon  De- 
partment of  Fish  and  Wildlife,  Clackamas  Labo- 
ratory. 

Juvenile  or  age  .0  (first  year  in  the  ocean)  coho 
salmon  were  distinguished  from  adult  or  age  .1 
(second  year  in  the  ocean)  coho  salmon  by  exami- 
nation of  size-frequency  histograms  and  scales. 
The  division  between  age  .0  and  .1  coho  pro- 
gressed from  approximately  300  to  420  mm  FL 
from  May  to  September,  in  most  years.  Most  coho 
salmon  migrated  to  the  ocean  a  little  over  one 
year  after  hatching  (age  1.0),  but  OAF  released 
large  numbers  of  subyearling  (age  0.0)  smolts 
into  Yaquina  Bay  and  Coos  Bay.  These  two  age 
groups  of  smolts  were  distinguished  by  the  radial 
distance  to  the  21st  circulus  on  scales  removed 
from  the  preferred  area  (Clutter  and  Whitesel 
1956)  of  the  fish.  The  accuracy  of  this  method  for 
distinguishing  known  age  0.0  and  1.0  fish  was 
approximately  85-90%.  In  the  years  1981-85, 
scales  from  52%  of  the  4,222  juvenile  coho  sam- 
pled were  analyzed.  The  estimated  numbers  of 
age  0.0  and  1.0  fish  represented  in  different 
geographic  areas  and  cruises  were  then  extrapo- 
lated from  their  proportions  in  each  10  mm  length 
interval. 

Distances  traveled  and  movement  rates  were 
estimated  from  actual  distances  between  sites  of 
release  and  entry  into  the  ocean,  and  from 
straight-line  distances  between  ocean  entry  and 
recapture  locations  for  CWT  or  fluorescent 
marked  juvenile  coho  salmon  that  were  recovered 
in  the  ocean  within  10  days  of  release.  These  dis- 
tances and  swimming  speeds  are  minimal  esti- 
mates. 

In  addition  to  purse  seining,  fine-meshed 
monofilament  gill  nets  were  used  off  the  Oregon 
coast  (ca.  lat.  45°00'N,  long.  124°21'W)  during  24 
and  25  July  1985,  from  the  training  vessel  Oshoro 
Maru ,  to  determine  depth  and  direction  of  swim- 
ming of  juvenile  salmonids.  Surface  and  subsur- 
face nets  were  used.  The  surface  gill  nets  were 
2,050  m  long,  and  fished  from  depths  of  0-6  m 
with  11  mesh  sizes  ranging  from  29  to  121  mm 
(stretch).  The  subsurface  nets  were  500  m  long 


and  consisted  of  four  mesh  sizes  ranging  from  29 
to  42  mm;  they  were  suspended  below  large  (300- 
400  mm)  mesh  to  fish  at  depths  of  5-12  m.  Four 
sets  were  made  in  an  east-west  direction  with 
soak-times  of  about  4-9  hours.  As  the  gill  nets 
were  hauled,  the  direction  that  each  juvenile 
salmonid  was  heading  when  caught,  and  its  depth 
in  the  net  (upper,  middle,  or  lower  section)  were 
noted.  Each  juvenile  salmonid  was  given  a  con- 
secutive number  and  frozen  for  later  identifica- 
tion. Comparisons  of  catch  rates  in  the  surface 
and  subsurface  nets  were  based  on  equal  lengths 
of  the  four  mesh  sizes  of  the  subsurface  net,  stan- 
dardized to  10  hours  of  fishing  time. 

Information  on  the  location  of  landings  of 
marked  juvenile  coho  by  commercial  and  sports 
fishermen  was  provided  by  the  Pacific  Marine 
Fisheries  Commission  (PMFC),  (PMFC  1980, 
1981,  1984a,  b,  c,  1985a,  b),  from  lists  of  non- 
standard recoveries  (Johnson  PMFC  unpubl. 
data),  and  from  state  agencies.  The  actual  num- 
bers of  tagged  fish,  and  the  total  numbers  of 
tagged  fish  estimated  from  the  proportions  of  the 
catch  sampled  are  reported. 

To  determine  if  juvenile  coho  salmon  were  sex- 
ually precocious  "jacks",  we  examined  testes  from 
542  juvenile  males  caught  in  July  1981  and  1984, 
in  August  1981,  and  in  September  1982,  1983, 
and  1984.  All  developed  and  some  undeveloped 
testes  (ribbonlike,  with  no  thickening),  as  deter- 
mined by  visual  inspection,  were  weighed  (123) 
and  gonadal-somatic  indices  (GSI  =  testes  wt./ 
body  wt.  X  100)  were  determined. 

RESULTS  AND  DISCUSSION 

Swimming  Direction 

Of  the  106  juvenile  coho  salmon  captured  dur- 
ing June  in  paired,  half-round  purse  seine  sets, 
all  but  two  were  in  the  sets  open  to  the  south 
(Table  2).  This  suggests  that  juvenile  coho  salmon 

Table  2. — Catches  of  coho  salmon  In  semicircular 
purse  seine  sets  open  to  the  south  (S)  and  north  (N)  off 
Oregon, June  1979. 


Location 

Km 
offshore 

Age 
S 

.0 
N 

Age  .1 
S           N 

Clatsop  Spit 
Clatsop  Spit 
Clatsop  Spit 
Newport 

12.6 

18.5 

18.5 

9.4 

57 
37 

7 
3 

0 
0 
0 
2 

2            6 

15          37 

6            8 

0            9 

98% 

2% 

28%       72% 

176 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


were  swimming  to  the  north  during  this  sampHng 
period.  Maturing  fish  over  300  mm  FL  (age  .1 
echo)  showed  the  opposite  trend. 

Miller  et  al.  (1983)  made  several  hundred 
paired  purse  seine  sets  open  to  the  south  and 
north  during  three  cruises  off  the  northern 
Oregon-southern  Washington  coasts  in  1980. 
During  their  May-June  cruise,  they  caught  76% 
of  the  juvenile  coho  salmon,  80%  of  the  chinook 
salmon,  and  almost  all  the  steelhead  trout  in  sets 
open  to  the  south,  indicating  northward  move- 
ment. We  note  a  positive  relation  between  the 
proportion  of  juvenile  salmon  caught  in  south- 
facing  sets  in  their  three  cruises  and  strength  of 
upwelling  during  these  cruises  (mean  daily 
Bakun  indices  of  52,  39,  and  19  m^  s"!  100  m'^ 
coastline  at  45°N,  125°W  in  May,  July,  and  Au- 
gust, respectively  (Mason  and  Bakun  1986)),  sug- 
gesting that  surface  currents  to  the  south  result- 
ing from  Ekman  transport  may  be  cues  for 
orientation  of  salmon  smolts. 

Hartt  (1980)  and  Hartt  and  Dell  (1986)  found 
that  83%  of  the  combined  species  of  juvenile 
salmonids  caught  in  19  paired  purse  sets  along 
the  coast  from  Cape  Flattery,  WA  to  Yakutat,  AK 
were  caught  in  sets  held  open  to  the  southeast  and 
only  17%  in  sets  open  to  the  northwest  and  north. 
They  concluded  that  juvenile  salmonids  tended  to 
migrate  in  a  northwest  direction  along  the  coast 
during  July-September. 

Of  the  100  juvenile  coho  salmon  (135-315  mm 
FL)  caught  in  the  gill  nets  set  in  an  east-west 
direction  off  the  Oregon  coast  in  July  1985,  90 
coho  were  caught  as  they  approached  the  south- 
ern face  of  the  gill  net  (heading  north)  and  10  in 
the  northern  face  (heading  south).  Jaenicke  et  al. 
(1984)  reported  that  63%  of  the  juvenile  coho 
caught  in  a  surface  gill  net  fished  off  southeastern 
Alaska  in  July  moved  north  at  night,  but  only  6% 
moved  to  the  north  during  the  day. 

Available  data  indicate  that  most  juvenile  coho 
salmon  caught  off  Oregon  and  southern  Washing- 
ton, as  well  as  juveniles  farther  to  the  north,  are 
predominantely  swimming  in  a  northerly  direc- 
tion during  summer  months. 

Depth  Distribution 

One-half  of  the  juvenile  coho  salmon  caught  in 
gill  nets  set  off  the  Oregon  Coast  in  1985  were  in 
the  upper  2  m  of  the  surface  gill  net  (Table  3). 
Catches  in  the  surface  net  exceeded  those  in  the 
subsurface  net,  except  for  the  last  set  that  fished 
during  daylight  hours,  indicating  that  juvenile 


coho  salmon  were  most  common  in  the  upper  4  m 
of  the  water  column. 

Other  information  on  the  vertical  distribution 
of  maturing  coho  and  other  species  of  salmon 
caught  in  gill  nets  or  with  longlines  in  oceanic 
waters  also  indicates  that  they  usually  swim  near 
the  surface,  between  0  and  20  m  (Manzer  1964; 
Godfrey  1965;  Godfrey  et  al.  1975).  Machidori 
(1966),  for  example,  fished  gill  nets  from  the  sur- 
face to  50  m  and  caught  79%  of  the  coho  salmon  in 
the  upper  10  m  of  the  gill  net.  Although  catches  in 
gill  nets  at  different  depths  may  be  biased  by  ver- 
tical differences  in  avoidance  reactions  to  the  net 
or  swimming  speeds  (Hartt  1975),  acoustical 
methods  have  also  shown  that  salmon  are  usually 
distributed  near  the  surface  (Susuki  and  Sonoda 
1972;  Lord  et  al.  1976).  We  conclude  that  most 
juvenile  coho  salmon  in  coastal  waters  and  ma- 
turing coho  in  oceanic  waters  reside  at  depths 
above  20  m,  the  minimum  depth  that  our  purse 
seine  fished.  We  recognize,  however,  that  matur- 
ing coho  and  other  species  of  salmon  may  feed  in 
deeper  water.  Some  salmon  (including  coho 
salmon)  caught  in  surface  gill  nets  in  the  oceanic 
waters  of  the  Gulf  of  Alaska  contained  prey  in 
their  stomachs  characteristic  of  mesopelagic 
depths  (200-1,000  m),  suggesting  that  some  indi- 
viduals may  feed  well  below  the  thermocline 
(Pearcy  et  al.  in  press). 

Table  3. — Catches  of  juvenile  coho  salmon  in  four  gill  net  sets 
in  50  m  lengths  of  29,  33,  37,  and  42  mm  mesh  at  different 
depths  and  times  24-25  July  1985,  each  set  adjusted  to  10-h 
fishing  duration. 


Depth 

in  meters 

Surface  net 

Subsurface  net 

Times  of  set 

0-2 

2-4 

4-6 

5-7 

7-9 

9-12 

0913-1702 
2001-0104 
0248-0701 
0830-1737 

2.5 
25.0 
42.8 

1.1 

3.8 
11.5 
2.4 
0 

0 
0 

2.4 
0 

1.3 
0 

9.5 
6.6 

1.3 
0 

16.6 
7.7 

0 

1.9 
0 
5.5 

Total  catch 

Percent  of 
total  catch 

51 
50.3 

16 
12.5 

1 
1.7 

11 
12.3 

15 
18.0 

6 
5.2 

North-South  Trends  in  Catch  per  Set 
and  Sizes  of  Juvenile  Coho 

Variations  in  the  average  catches  and  sizes  of 
juvenile  coho  salmon  in  purse  seine  sets  in  differ- 
ent regions  of  the  Oregon-Washington  coast  dur- 
ing the  summer  provide  indirect  evidence  for 
north-south  coastal  movements.  Histograms 
showing  average  catches  per  set  for  10  mm  size 


177 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


groups  of  juvenile  coho,  classified  as  age  0.0  or  1.0 
from  scale  analysis,  are  shown  in  Figure  2,  for 
1981-84  in  three  regions:  (A)  Cape  Flattery,  WA 
to  Grays  Harbor,  WA  (called  Washington),  (B) 
Willapa  Bay,  WA  to  Nehalem  Bay,  OR  (Columbia 
River  region),  and  (C)  Cape  Lookout,  OR  to  Coos 
Bay,  OR  (Oregon)  (Fig.  1).  In  May  of  1981,  1982, 
and  1983,  average  catch  per  set  of  yearling  (age 
1.0)  coho  generally  decreased  from  the  southern 
to  the  northern  regions.  Catches  v^ere  highest  off 
Oregon  (Area  C)  or  the  Columbia  River  (Area  B) 
and  lowest  off  Washington  (Area  A)  in  May  of 
1982  and  1983.  This  trend  was  reversed  later  in 
the  summer.  In  June  of  1981,  1983,  and  1984, 
lowest  catches  were  found  in  the  Oregon  region. 
By  August  or  September  1981-84,  highest 
catches  consistently  occurred  off  the  Columbia 
River  or  Washington  and  few  yearling  fish  were 
caught  off  Oregon.  These  shifts  in  abundance  sug- 
gest a  northerly  movement  of  age  1.0  smolts  dur- 


ing the  summer.  Highest  catch  rates  occurred  in 
May  and  June  of  1981  and  1982  when  an  average 
of  over  10  juvenile  coho  salmon  were  caught  in 
most  sets. 

Subyearling  or  age  0.0  coho  salmon  released 
from  private  facilities  at  Yaquina  and  Coos  Bays 
provide  more  direct  evidence  on  movements.  Sub- 
yearling  coho  salmon  clearly  demonstrated 
northward  dispersal.  They  were  most  common  in 
our  catches  of  July  1981  and  September  1982, 
1983,  and  1984  (Fig.  2).  They  were  apparently 
more  numerous  than  age  1.0  coho  salmon  in  the 
Oregon  region  during  June-August  1981  and 
September  1982,  and  in  the  Oregon  and  Columbia 
River  regions  in  September  1983.  The  catches  and 
proportions  of  age  0.0  coho  salmon  increased  off 
Oregon  during  the  summer  because  they  were 
released  from  hatcheries  later  in  the  summer 
than  yearling  coho  salmon.  They  were  found  in 
the  most  northern  region  sampled  late  in  the 


1981 


6 

- 

MAY 

5 

- 

4 

- 

3 

- 

2 

[- 

/SET 

J 

-TV. 

X       6 
O 

^      5 
"      4 

3 

- 

2 

- 

" 

1 

Jl 

wW.ljb.nv ,..y 

0 

20         30 

JUNE 


JULY 


....Mljlito^ 


i^i,i^»i 


AUGUST 


B 


C 


11*11(^1 


30 


10 


20 


30 


40 


FORK  LENGTH   (cm) 

Figure  2. — Catch  per  purse  seine  set  of  age  1.0  (open)  and  age  0.0  (shaded)  juvenile  coho  by  10  mm  length  groups  during  different 
months,  1981-84,  for  three  regions  of  the  Oregon-Washington  coast:  (A)  Cape  Flattery  to  Grays  Harbor,  WA,  (B)  Willapa  Bay,  WA 
to  Nehalem  Beach,  OR,  (C)  Cape  Lookout  to  California. 


178 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


summer  of  all  years.  Their  abundance,  as  that  of 
age  1.0  coho  salmon,  also  increased  during  the 
summer  off  Washington  where  they  intermingled 
with  age  1.0  coho  salmon.  Because  the  Oregon 
region  included  the  release  locations  of  all  age  0.0 
coho  salmon,  our  figures  provide  no  information 
on  southward  movements  of  these  fish. 

The  mean  lengths  of  both  age  0.0  and  1.0  coho 
salmon  increased  from  the  southern  to  the  north- 
ern areas  during  most  months.  Larger  age  0.0  and 
1.0  coho  salmon  were  caught  off  Washington  than 


Oregon  during  the  late  summer,  1981-84  (Fig.  2), 
providing  corroborative  evidence  for  northward 
migration  of  coho  salmon.  Larger,  and  pre- 
sumably older,  fish  were  found  farther  to  the 
north  than  smaller  fish. 

Despite  northward  movements,  many  yearling 
coho  salmon  did  not  migrate  out  of  the  sampling 
area,  but  remained  in  coastal  waters  off  Oregon 
and  Washington  during  the  entire  summer.  Mean 
coastwide  catch  per  set  of  yearling  coho  salmon  in 
August  1981  and  September  1982, 1983,  and  1984 


1982 


I- 

LJ 
if) 


6 
5 
4 

3 

21- 


6 
5 
4 
3 
21- 


51-     J 
4 


MAY 


TTfllTTTTTTtlll     l^[ 


JUNE 


t^t^ri^iM^rT^f  rr 


SEPTEMBER 


A 


¥.« 


^ 


¥^ 


iWiT'i  I 


^ 


T^T*T^  IllllTTTfftfl 


^  .UJJlmnifii 


B 


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T^P» 


<L¥ 


»'ri^i  f  I 


C 


IM^ 


10 


.p..Q.,,,n,f:T;i,  ,f77. 
20  30    10  20  30      10  20  30  40 

FORK  LENGTH   (cm) 

Figure  2. — Continued. 


179 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


1983 


6 
5 

4 

3 

21- 


MAY 


■  I  nfXb.  .yi  iGv 


JUNE 


■  ■f;w{ttlkbp. 


SEPTEMBER 


A 


fffllfflVIIVI 


^T^f^^WP^^^'^^^'''''  T  y  T 


CO 


D  ■ 

5  . 

4- 

3  ■ 

2- 

1-         r 

,,dJ,U.i.b| 

B 


i*t  f  »'f^^*yT^  I 


6 

■ 

- 

- 

5 

- 

■ 

• 

4 

- 

- 

• 

3 

- 

• 

■ 

2 

- 

. 

■ 

1 

JOCII. 

-• 

^ 

1 

• 

10          20 

30    10          20         30         10 

FORK  LENGTH    (cm) 

Figure  2.— Continued. 

c 


1^1  I  I  I  t  [  I  I  I  I [I 

20  30         40 


was  61%,  42%,  81%,  and  77%  respectively,  of  that 
in  June  of  the  same  years.  In  September  1983,  a 
strong  El  Nino  year  (Pearcy  and  Schoener  1987), 
almost  all  yearling  juvenile  coho  salmon  were 
caught  at  the  extreme  northern  transect  off  Cape 
Flattery,  but  in  August  or  September  of  other 
years  they  were  more  evenly  distributed  off  the 
Columbia  River  and  the  Washington  coast. 

In  July  1984,  we  sampled  both  north  (15  sets  off 
the  west  coast  of  Vancouver  Island)  and  south  (5 


sets  off  northern  California)  of  Washington  and 
Oregon.  Catches  per  set  of  yearling  and  subyear- 
ling  juvenile  coho  salmon  were  higher  off  the 
Columbia  River  (5.1),  the  area  of  greatest  smolt 
production,  and  off  Washington  (3.5)  than  off 
Vancouver  Island  (1.8),  Oregon  (1.7),  and  Califor- 
nia (1.2).  This  shows  that  as  late  as  July  juvenile 
coho  salmon  occurred  in  coastal  waters  of  all  re- 
gions and  were  not  concentrated  off  Vancouver 
Island  or  California. 


180 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


1984 


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FORK  LENGTH   (cm) 

Figure  2.— Continued. 


40 


The  Question  of  "Jacks" 

Are  the  juvenile  coho  salmon  off  Oregon  and 
Washington  in  late  summer  relatively  nonmigra- 
tory  because  they  are  sexually  precocious?  GSI 
were  almost  always  <0.1%  for  those  fish  visually 
classified  as  "undeveloped".  GSI's  from  fish  with 
"developed"  testes  ranged  from  0.29?^  to  1.0%  in 
July  1981  and  1984  in  fish  >250  mm  FL;  from 
0.3%  to  5.6%  in  August  1981,  mostly  in  fish  >280 
mm  FL;  and  from  2.4%  to  6.6%  (except  for  one 
value  at  0.6)  in  September  1982,  1983,  and  1984 
in  fish  >300  mm  FL  (Fig.  3).  In  August  1981,  and 


clearly  in  September  1982,  1983,  and  1984,  two 
distinct  groups  of  fish  were  evident:  "jacks",  with 
developing  testes  (GSI  >0.3%  August  or  GSI 
>2.0%  September),  and  "nonjacks",  which 
showed  no  development  (GSI  <0.1%). 

The  total  numbers  of  jacks  and  nonjacks  in  each 
50  mm  length  group  were  estimated  for  the  catch 
during  August  1981  and  September  1982,  1983, 
and  1984  from  the  ratio  of  jacks  and  nonjacks  in 
the  sample  (Table  4).  Only  8.4%,  4.8%,  5.2%,  and 
2.8%  of  all  juvenile  fish  (male  and  female)  were 
"jacks"  in  August  1981  and  September  1982, 
1983,  and  1984,  respectively.  However  jacks  com- 


181 


FISHERY  BULLETIN:  VOL,  86,  NO.  2 


X 

LU 
Q 


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D  1981     n=  12 
A  1984  n=9 

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25 


30 


35 


40 


45 


FORK   LENGTH   (cm) 


Figure  3. — Gonadal-somatic  index  (testis  wt/total  body  wt)  x  100  of  juvenile  coho  salmon  vs. 
length  of  fish  for  July,  August,  and  September  1981-84.  Only  data  for  those  testes  actually 
weighed  are  shown. 


prised  a  higher  percentage  of  fish  larger  than  300 
mm  FL  in  August  1981  and  larger  than  350  mm 
FL  in  September  1982,  1983,  and  1984.  These 
results  indicate  that  most  juvenile  coho  salmon 
caught  off  Oregon  and  Washington  were  not  sexu- 
ally precocious.  Thus,  the  relatively  large  catches 


of  juvenile  coho  salmon  in  late  summer  are  ex- 
plained by  lack  of  strong  migrational  tendencies 
of  juvenile  coho  salmon  in  this  region  and  not  by 
a  high  proportion  of  precocious  "jacks"  that  re- 
sided in  this  region  as  a  prelude  to  re-entry  of 
streams  for  spawning. 


182 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


Table  4. — The  percent  of  coho  salmon  jacks  and  males,  by  length  groups,  in  the  total  catch, 

Augjst  1981  and  September  1982-84. 


Fork 

Number 

Number 

Est. 

Est.  % 

length 

of  fish 

% 

of 

Total 

total 

jacks 

Date 

(mm) 

examined 

males 

jacks' 

catch 

jacks 

of  total 

Aug. 1981 

<200 

71 

60.6 

0 

111 

0 

0 

201-250 

63 

60.0 

1 

115 

2 

1.7 

251-300 

55 

47.3 

4 

104 

8 

7.7 

301-350 

16 

81.3 

4 

22 

6 

27.3 

351-420 

10 

80.0 

8 

19 

15 

78.9 

Total 

215 

59.5 

17 

371 

31 

8.4 

Sept.  1982 

<200 

56 

55.4 

0 

125 

0 

0 

201-250 

21 

76.2 

0 

54 

0 

0 

251-300 

22 

63.6 

0 

109 

0 

0 

301-350 

33 

69.7 

3 

97 

9 

9.3 

351-420 

13 

53.8 

5 

28 

11 

39.3 

Total 

145 

62.8 

8 

413 

20 

4.8 

Sept.  1983 

<200 

16 

62.5 

0 

18 

0 

0 

201-250 

23 

47.8 

0 

25 

0 

0 

251-300 

23 

56.5 

0 

71 

0 

0 

301-350 

39 

61.5 

4 

77 

8 

10.4 

351-420 

2 

0 

1 

3 

2 

66.7 

Total 

103 

58.3 

5 

194 

10 

5.2 

Sept.  1984 

<200 

6 

33.3 

0 

15 

0 

0 

201-250 

38 

47.4 

0 

69 

0 

0 

251-300 

90 

50.0 

2 

128 

3 

2.3 

301-350 

27 

55.6 

12 

31 

2 

6.5 

351-420 

6 

33.3 

2 

7 

2 

28.6 

Total 

167 

49.1 

16 

250 

7 

2.8 

'Jack  Is  defined  as  a  male  whose  testes  wt. /total  body  wt.  x  100  >  0.3%  in  August  and  >2.0%  in  Septem- 
ber. 


Movements  of  Marked  Fish 

Direct  evidence  of  movements  of  juvenile  coho 
salmon  was  obtained  from  capture  of  marked  fish 
containing  coded  wire  tags  or  marked  with  fluo- 
rescent pigment.  The  generalized  pattern  of 
movements  that  emerges  for  1981-85  is  an  initial 
movement  of  most  juvenile  coho  salmon  to  the 
south  soon  after  ocean  entry  in  May  and  June  and 
then  a  reversal  of  movement  with  most  fish  mi- 
grating to  the  north  by  August  and  September 
(Figs.  4-8).  These  trends  are  discussed  for  fish 
originating  from  the  Columbia  River,  Oregon 
coastal,  Washington  coastal,  and  private  hatch- 
eries. 

Columbia  River 

Juvenile  coho  salmon  originating  from  hatch- 
eries on  the  Columbia  River  were  usually  recov- 
ered south  of  the  Columbia  River  in  May.  This 
trend  was  especially  obvious  in  May  1982  when 
all  22  marked  fish  which  were  recovered  moved 
south,  some  as  far  as  175  km  (Fig.  5).  In  May 
1981,  all  but  one  of  14  marked  Columbia  River 
fish  were  caught  to  the  south,  three  as  far  as  180 


and  204  km  (Fig.  4).  In  May  1983,  all  four  fish 
were  taken  south  of  the  mouth  of  the  Columbia 
River  (Fig.  6). 

During  June  and  July  of  all  years,  marked  Co- 
lumbia River  coho  salmon  were  recovered  in 
nearly  equal  proportions  both  north  and  south  of 
the  river  mouth,  except  in  June  1982  when  15  of 
17  fish  were  found  to  the  south  (Figs.  4—8).  By 
September,  all  marked  Columbia  River  coho 
salmon  were  captured  north  of  the  river,  includ- 
ing fish  captured  off  the  Quinault  River  in  Sep- 
tember 1982  and  off  Cape  Flattery  in  September 
1984.  Fish  were  also  caught  close  to  the  mouth  of 
the  Columbia  River  in  July,  August,  and  Septem- 
ber, indicating  that  some  marked  juvenile  coho 
salmon  did  not  undertake  extensive  migrations  at 
sea. 

In  two  sets  on  the  Wecoma  Beach  Transect  on  1 
June  1982  we  caught  17  marked  juvenile  coho 
salmon  released  between  30  April  and  6  May 
from  six  hatcheries  on  the  Columbia  River.  Based 
on  downstream  migration  rates  for  these  groups 
to  Jones  Beach  (Dawley  et  al.  1985)  and  assuming 
similar  rates  from  Jones  Beach  to  the  ocean,  these 
fish  had  probably  been  in  the  ocean  for  <10  days 
before  recapture.  This  indicates  that  some  juve- 


183 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


AUG         JULY         JUNE 

1981 


Figure  4. — North-south  movements  of  marked  juvenile  echo  salmon  captured 
in  purse  seines,  May-August  1981.  The  width  of  the  lines  are  approximately 
proportional  to  the  number  offish.  Numbers  at  end  of  arrows  indicate  number 
offish  captured.  Arrows  without  numbers  and  thin  lines  represent  single  fish. 
Inshore-offshore  movements  are  not  shown.  Dashed  lines  indicate  latitudinal 
extent  of  sampling. 


nile  coho  salmon  released  from  hatcheries  at 
about  the  same  time  tended  to  stay  together  dur- 
ing their  downstream  migration  in  the  Columbia 
River  and  during  early  residency  in  the  ocean. 

Oregon  Public  Coastal  Hatcheries 

We  captured  marked  fish  originating  ft-om  pub- 
lic Oregon  coastal  hatcheries  both  north  and 
south  of  the  latitude  of  ocean  entrance  in  May.  A 
total  of  five  fish  were  found  to  the  south,  while  11 


fish  were  found  to  the  north  in  May  (Figs.  4-8). 
With  the  exception  of  one  coho  salmon  from  the 
Umpqua  River  in  June  1983  and  two  from  the 
Rogue  River  in  July  1984  (Figs.  6,  7),  the  other  25 
fish  taken  after  May  were  captured  north  of 
where  they  entered  the  ocean.  Northerly  move- 
ments into  Washington  waters  occurred  by  June 
1983  and  1985  (Figs.  6,  8). 

The  southward  movements  of  two  juvenile  coho 
salmon  released  from  the  Rogue  River  (south  of 
Cape  Blanco)  and  captured  off  northern  Califor- 


184 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


I  I  I  I  Ku  I  I  I  I  1  IV  q 

-CAPE  FLATTERY 


SEPT         JUNEV      MAY 
1982 


-rCAPE  FLATTERY 


Figure  5. — North-south  movements  of  marked  juvenile  coho 
salmon  captured  in  purse  seines,  May,  June,  and  September 
1982.  The  width  of  the  lines  are  approximately  proportional  to 
the  number  of  fish.  Numbers  at  end  of  arrows  indicate  number 
offish  captured.  Arrows  without  numbers  and  thin  lines  repre- 
sent single  fish.  Inshore-offshore  movements  are  not  shown. 
Dashed  lines  indicate  latitudinal  extent  of  sampling. 


JUNE 
1983 


Figure  6. — North-south  movements  of  marked  juvenile  coho 
salmon  captured  in  purse  seines,  May,  June,  and  September 
1983.  The  width  of  the  lines  are  approximately  proportional  to 
the  number  of  fish.  Numbers  at  end  of  eirrows  indicate  number 
offish  captured.  Arrows  without  numbers  and  thin  lines  repre- 
sent single  fish.  Inshore-offshore  movements  are  not  shown. 
Dashed  lines  indicate  latitudinal  extent  of  sampling. 


nia  during  July  1984  are  notable  (Fig.  7).  They 
were  captured  in  our  only  cruise  into  California 
waters  and  represent  the  only  recoveries  of 
marked  juvenile  coho  salmon  originating  from 
hatcheries  south  of  Cape  Blanco  in  all  six  years  of 
sampling.  Although  ocean  sampling  was  limited 
south  of  Coos  Bay,  if  juvenile  coho  salmon  from 
southern  Oregon  and  northern  California  hatch- 
eries   had    migrated    north    of   Coos    Bay,    we 


would  expect  them  to  be  represented  in  our 
catches.  The  fact  that  they  were  not  caught  in  this 
northern  region,  but  two  were  caught  after  swim- 
ming to  the  south,  suggests  that  juvenile  coho 
salmon  originating  in  streams  south  of  Cape 
Blanco  may  migrate  south,  possibly  occupying 
the  region  of  intense  coastal  upwelling  off  north- 
ern California  during  their  first  summer  in  the 
ocean.  The  catch  of  over  70%  of  the  adult  coho 


185 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


ll 


SEPT 


UMPQUA 
RIVER 


JUNE  10-25 


.coos  BAY 

MAY  29  -  JUNE  5 
1985 


± 


CAPE  BLANCO 
I     I     I     I     I 


—  43= 


JULY 
1984 


Figure  8. — North-south  movements  of  marked  juvenile  coho 
salmon  captured  in  purse  seines,  29  May-5  June  and  10-25 
June.  The  width  of  the  lines  are  approximately  proportional  to 
the  number  of  fish.  Numbers  at  end  of  arrows  indicate  number 
offish  captured.  Arrows  without  numbers  and  thin  lines  repre- 
sent single  fish.  Inshore-offshore  movements  are  not  shown. 
Dashed  lines  indicate  latitudinal  extent  of  sampling. 


Figure  7. — North-south  movements  of  marked  juvenile 
coho  salmon  captured  in  purse  seines,  June-September 
1984.  The  width  of  the  lines  are  approximately  propor- 
tional to  the  number  of  fish.  Numbers  at  end  of  arrows 
indicate  number  of  fish  captured.  Arrows  without  num- 
bers and  thin  lines  represent  single  fish.  Inshore- 
offshore  movements  are  not  shown.  Dashed  lines  indi- 
cate latitudinal  extent  of  sampling. 


186 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


salmon  from  the  Rogue  River  in  the  troll  fishery 
off  California  (R.  Garrison'^)  is  further  evidence 
for  a  southern  distribution  of  this  stock.  Marked 
juvenile  coho  salmon  from  California  hatcheries 
were  reported  from  the  sports  fishery  off  southern 
Oregon,  however,  as  will  be  shown  later. 

Washington  Coastal  Hatcheries 

Juvenile  coho  salmon  from  Washington  public 
hatcheries  demonstrated  southerly  movements, 
sometimes  into  Oregon  waters,  during  May  1981 
and  1982  (Figs.  4,  5).  During  June  1982,  1984, 
and  1985,  Washington  coastal  fish  were  found 
both  north  and  south  of  ocean  entry.  Except  for 
one  fish  that  moved  north  in  September  1984,  no 
Washington  coastal  fish  were  taken  in  August  or 
September  of  other  years,  suggesting  that  most 
Washington  fish  may  have  migrated  out  of  our 
sampling  area  by  late  summer. 

Oregon  Private  Hatcheries 

All  marked  juvenile  coho  salmon  originating 
from  Yaquina  and  Coos  Bays  that  we  captured  at 
sea  were  from  private  hatcheries.  Those  from 
Yaquina  Bay  were  mainly  age  0.0  smolts  from 
OAF,  those  from  Coos  Bay  were  either  age  1.0 
smolts  from  Anadromous,  Inc.  or  age  0.0  smolts 
from  OAF.  Forty-one  recoveries  of  marked  OAF 
fish  released  from  Yaquina  Bay  were  caught  to 
the  north  while  only  4  were  to  the  south  of 
Yaquina  Bay.  In  general,  more  juvenile  coho 
salmon  from  Yaquina  Bay  were  captured  in  late 
than  early  summer,  and  distances  traveled  to  the 
north  were  largest  (up  to  413  km)  for  fish  caught 
in  later  summer  (Figs.  4-8).  All  recoveries  of 
marked  Anadromous,  Inc.  and  OAF  fish  released 
into  Coos  Bay  were  to  the  north  in  all  years. 
Large  northerly  movements  were  demonstrated 
by  some  of  these  fish  (Figs.  4,  6,  8).  Since  our 
sampling  in  the  ocean  usually  did  not  extend 
south  of  Coos  Bay,  recoveries  of  these  fish  are 
biased  to  the  north;  however,  strong  northward 
movements  of  these  stocks  were  indicated. 

Rates  of  Movement 

Recoveries  of  marked  juvenile  coho  salmon  in 
the  ocean  provided  information  on  the  minimum 
rates  of  movement  from  hatchery  release  to  cap- 


3R.  Garrison,  Oregon  Department  of  Fish  and  Wildlife,  Cor- 
vallis,  OR  97330,  pers.  commun.  December  1983. 


ture  in  the  ocean.  Some  fish  moved  rapidly 
through  estuaries  into  the  ocean.  We  captured 
some  tag-groups  in  the  ocean  only  a  few  days  after 
the  median  date  of  capture  at  Jones  Beach  (75  km 
from  the  ocean)  as  reported  by  Dawley  et  al. 
(1985):  5  fish  after  2  days  in  1981,  6  fish  after 
3-11  days  in  1981,  8  fish  after  1-14  days  in  1982, 
and  5  fish  after  3-8  days  in  1983.  Dawley  et  al. 
(1986)  found  average  rates  of  movement  of  14-23 
km  d"^  for  marked  groups  of  coho  smolts  from 
areas  of  release  on  the  Columbia  River  to  river 
km  75,  and  rates  of  movement  that  were  40% 
faster  from  river  km  75  to  the  lower  Columbia 
River  estuary  and  to  the  ocean  plume.  These  re- 
coveries and  those  reported  by  Miller  et  al.  (1983) 
for  yearling  chinook  salmon  and  steelhead  trout 
indicate  rapid  movements  of  juvenile  salmonids 
of  over  20  km  d^^  through  the  Columbia  River 
estuary. 

Some  juvenile  coho  salmon  released  from 
Yaquina  Bay  and  Coos  Bay  also  demonstrated 
rapid  movements  into  and  in  the  ocean,  e.g.,  17 
Anadromous,  Inc.  fish  were  captured  11  km  north 
of  Coos  Bay  only  two  days  after  release  in  June 
1983  (Table  5).  Myers  (1980)  described  an  expo- 
nential decrease  in  the  catches  of  juvenile  coho 
salmon  released  from  the  OAF  facility  into 
Yaquina  Bay;  about  one-half  the  fish  from 
marked  groups  remaining  in  the  bay  after  1.7-9.0 
days.  Juvenile  coho  salmon  apparently  emigrate 
rapidly  from  estuaries  into  the  ocean. 

Some  of  the  marked  fish  recovered  within  10 
days  of  release  demonstrated  rapid  movements 
down-rivers  or  in  the  ocean.  Twenty-four  fish 
traversed  10  km  d~^  or  more  largely  in  the  ocean, 
in  both  north  and  south  directions  (Table  5).  Four 
fish  released  in  bays  or  in  the  ocean  moved  over 
18.8  km  d~^  Two  of  these  swam  to  the  north, 
presumably  against  coastal  currents.  These 
speeds  are  equivalent  to  1.7  body  lengths  (BL)  per 
second  or  more  and  suggest  that  some  fish  must 
be  traveling  nearly  straight  courses  during 
24-h  days,  since  1-3  BL  s"^  are  thought  to  be 
optimal  cruising  speeds  for  small  (<20  cm) 
pelagic  fishes  (Weihs  1973;  Ware  1978).  These 
maximum  rates  of  movement  for  purse  seine 
caught  juvenile  coho  salmon  are  similar  to 
those  estimated  by  Hartt  (1980)  and  Hartt  and 
Dell  (1986)  for  tagged  sockeye  salmon  during 
their  first  summer  in  the  ocean:  14-27  km  d"^ 
for  11  Fraser  River  fish  and  6-14  km  d"^  for 
10  Skeena  River  fish  that  were  between  about 
8  and  23  cm  in  length  during  the  migration 
period. 


187 


FISHERY  BULLETIN:  VOL.  86.  NO.  2 


Table  5. — Release  Information  and  mean  travel  speeds  in  kilometers  per  day  and  body  length  (BL) 
per  second  for  CWT  and  fluorescent-pigment  marked  age  .0  coho  salmon  recovered  in  the  ocean 
within  10  days  of  release.  CR  ^  Columbia  River:  OAF  =  Oregon  Aqua  Foods,  Inc.,  (OAF  Yaquina 
is  3.7  km  from  ocean;  OAF  Coos  Is  14  km  from  the  ocean),  Anad.  -  Anadromous  Inc.  (7.4  km  from 
the  ocean). 


Median 

Direction 

Release 

Date 

days  to 

Mean 

Mean 

Mean 

of 

Year 

No. 

location 

released 

recovery 

FL 

km/d 

BUS 

movement 

1981 

1 

Big  Cr.  (CR) 

8  June 

3 

153 

22.2 

1.7 

S 

1 

Tanner  Cr.  (CR) 

6  July 

6 

138 

41.0 

3.4 

N 

1 

OAF  Yaquina 

11  May 

7 

140 

4.0 

0.3 

S 

1 

OAF  Yaquina 

12  June 

2 

124 

14.5 

1.4 

N 

2 

Anad.  Coos 

8  June 

9 

179 

2.3 

0.2 

N 

2 

OAF  Yaquina 

10-15  June 

2 

124 

3.7 

0.3 

N 

1 

OAF  Yaquina 

10-15  June 

2 

123 

10.2 

1.0 

N 

1 

OAF  Yaquina 

10-15  June 

2 

126 

18.8 

1.7 

N 

11 

OAF  Coos 

5-9  June 

10 

122 

1.9 

0.2 

N 

1 

OAF  Yaquina 

10-15  June 

5 

124 

24.0 

2.2 

S 

1 

OAF  Coos 

5-9  June 

7 

136 

20.1 

1.7 

N 

1983 

17 

Anad.  Coos 

26  June 

2 

156 

11.2 

0.8 

N 

1984 

1 

OAF-Offshore 

7  June 

7 

143 

11.3 

0.9 

N 

1985 

6 

Tongue  Pt.  (CR) 

24  IVIay 

6 

151 

9.5 

0.7 

S 

1 

Offshore-22  km 

30  l^ay 

0.9 

134 

22.0 

1.9 

S 

1 

Naselle  River 

20  l^ay 

9 

143 

7.8 

0.6 

S 

1 

Cowlitz  River 

31  IVIay-6  June 

2.5 

144 

88.0 

7.1 

N 

Effects  of  Ocean  Currents 

The  tendency  for  juvenile  coho  salmon  to  move 
to  the  south  early  in  the  summer  and  to  the  north 
later  in  the  summer  (Figs.  4—8)  may  be  related  to 
advection  of  water  and  the  size,  orientation,  and 
swimming  speeds  of  fish.  Generally,  surface  cur- 
rents are  to  the  south  off  Oregon  and  Washington 
in  the  early  summer  owing  to  prevailing  north- 
westerly winds  (Hickey  1979;  Huyer  1983). 
Southward  flow  averaging  17-34  km  d"^  (Huyer 
et  al.  1975,  1979)  has  been  measured  near  the 
surface.  May  and  June  are  periods  of  peak  outflow 
of  the  Columbia  River,  so  fish  entering  the  ocean 
at  this  time,  especially  in  the  Columbia  River 
plume,  may  be  displaced  to  the  south  by  advection 
of  surface  waters.  Southward  flow  is  at  a  maxi- 
mum in  the  coastal  jet  which  is  strongest  (—22  km 
d~^)  during  the  spring  about  15-20  km  from 
shore  (Kundu  and  Allen  1976;  Huyer  et  al.  1979). 
Since  currents  can  be  equivalent  to  1.7  BL  s"^  for 
a  15  cm  smolt,  advection  alone  could  explain  the 
southward  movement  of  most  marked  Columbia 
River  fish  during  May  and  June  but  not  the  rapid 
northward  movement  of  fish  during  this  period 
(see  Figures  4-7). 

Coastal  Oregon  fish  were  often  found  to  the 
north  in  May  and  June,  but  these  fish  were  usu- 
ally substantially  larger  and  generally  released 
much  earlier  in  the  spring  than  Columbia  River 


fish,  and  were  presumably  better  able  to  swim 
against  the  current.  Later  in  the  summer  when 
Columbia  River  hatchery  fish  had  grown  larger, 
movement  was  also  predominately  northward.  In 
August  and  September  southward  velocities  of 
surface  coastal  currents  are  diminished  and  the 
mean  may  be  near  zero  (Huyer  et  al.  1975). 
Northward  movements  during  the  summer  off 
Oregon  and  Washington  generally  cannot  be  ex- 
plained by  passive  drift  and  in  most  years  must 
entail  active,  oriented  swimming. 

The  northern  El  Nino  of  1982-83,  which  had 
severe  effects  on  the  growth  and  survival  of  adult 
and  jack  coho  salmon  (Pearcy  et  al.  1985;  Johnson 
1984;  Pearcy  and  Schooner  1987;  Fisher  and 
Pearcy  in  press),  also  appeared  to  affect  the  distri- 
bution of  juvenile  coho  salmon.  During  Septem- 
ber of  1983  nearly  all  the  seine-captured  juvenile 
coho  were  taken  along  our  northernmost  transect, 
off  Cape  Flattery,  WA  (Fig.  2).  In  other  years 
juvenile  coho  salmon  during  late  summer  were 
common  and  more  equally  distributed  from  the 
Columbia  River  northward.  In  the  summer  of 
1983  juvenile  coho  salmon  may  have  moved  far- 
ther north,  or  more  likely  those  to  the  south  may 
have  experienced  higher  mortality,  as  a  result  of 
northerly  currents  (Huyer  and  Smith  1985), 
warm  temperatures  and  low  productivity  (Pearcy 
et  al.  1985;  Chung  1985)  that  prevailed  off  Ore- 
gon. 


188 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


Recoveries  of  CWT  Juvenile  Fish 
in  Ocean  Fisheries 

Data  on  ocean  location  of  landings  of  juvenile 
CWT  coho  salmon  reported  in  sports  and  commer- 
cial fisheries  in  the  ocean  along  the  west  coast  of 
North  America,  1977-83,  provide  valuable  infor- 
mation on  ocean  migrations  of  marked  fish,  al- 
though these  data  are  biased  by  differences  in 
legal  minimum  sizes,  time  and  duration  of  open 
season,  and  effort  in  the  different  regions.  The 
summary  of  all  years  shows  that,  except  for  Cali- 
fornia, most  of  the  recoveries  of  juvenile  coho 
salmon  during  their  first  summer  in  the  ocean 
were  in  the  general  region  of  their  ocean  entry 
location  (Table  6).  Both  the  actual  number  offish 
reported  and  the  estimated  total  numbers  (in 
parentheses)  support  our  earlier  conclusion  that 
many  juvenile  coho  salmon  off  Oregon  and  Wash- 
ington are  not  highly  migratory.  All  (20)  of  the 
actual  recoveries  of  marked  juvenile  coho  salmon 
that  were  released  in  southeastern  Alaskan 
waters  were  from  southeastern  Alaska.  Ninety- 
seven  percent  of  the  recoveries  of  marked  fish 
released  in  British  Columbia  waters  were  landed 
in  British  Columbia;  only  two  were  landed  in 
Alaska.  Most  (86%)  marked  juvenile  fish  from 
Puget    Sound    hatcheries    were    caught    in    the 


Sound,  and  more  were  recovered  in  British  Co- 
lumbia fisheries  (13%)  than  in  coastal  Washing- 
ton fisheries  (<1%),  probably  due  to  the  smaller 
size  limits  for  coho  in  British  Columbia  as  well  as 
migratory  patterns.  Half  of  the  actual  numbers  of 
recoveries  of  juvenile  coho  salmon  liberated  into 
Washington  coastal  waters  were  landed  in 
Washington  coastal  ports,  followed  by  British  Co- 
lumbia (29%)  and  the  Columbia  River  region 
(17%).  Only  one  was  landed  in  Alaska  and  two  in 
Oregon  ports  (Garibaldi  and  south).  Juvenile  coho 
salmon  originating  from  Columbia  River  hatch- 
eries had  a  broader  distribution  of  recoveries  in 
other  regions.  Only  40%  of  Columbia  River  fish 
were  caught  in  this  region,  41%  were  taken  in 
northern  regions,  including  two  (1%)  in  Alaska. 
The  remaining  19%  were  captured  off  Oregon. 
The  majority  (73%)  of  Oregon  coastal  fish  were 
recovered  off  Oregon,  followed  by  the  Columbia 
River  region,  Washington  coast,  and  British  Co- 
lumbia. None  was  reported  from  Alaska,  but  10 
(2%)  were  from  California  ports.  All  marked  Cali- 
fornia fish  were  recovered  from  the  Columbia 
River  region  and  farther  south.  Most  (87%)  were 
landed  in  Oregon.  The  few  recoveries  of  Califor- 
nia fish  off  California  is  undoubtedly  influenced 
by  the  larger  size  limits  in  this  than  other  fish- 
eries. 


Table  6. — Recoveries  of  coded  wire  tagged  juvenile 

coho  in  the  ocean  fisheries  1 977-83.    Estimated 

total  numbers  are 

in  parentheses 

Landing  area 

»«.. 

5- 

& 

^ 

i 

O^ 

i 

#«"^ 

Release  area 

CO' 

/I" 

/ 

S.E.  Alaska 

20 
(39) 

0 

0 

0 

0                      0                  0 

British 

2 

1,086 

24 

2 

0                     0                 0 

Columbia 

(2) 

(1,735) 

(90) 

(8) 

Puget  Sound 

0 

201 

1,352 

9 

1                      2                  0 

(729) 

(5,262) 

(40) 

(2)                    (9) 

Washington 

1 

71 

7 

125 

42                       2                   0 

Coast 

(5) 

(316) 

(42) 

(451) 

(151)                   (77) 

Columbia 

2 

24 

4 

39 

67                     31                    0 

River 

(133) 

(14) 

(162) 

(310)                (164) 

Oregon  Coast 

0 

18 

3 

21 

62                   308                 10 

(107) 

(13) 

(83) 

(213)             (1,137)              (45) 

California 

0 

0 

0 

0 

1                    138                 19 
(4)                (552)            (200) 

'Sports  catches  are  not  expanded.  The  estimated  total  number 
CWTs  recovered  in  the  sports  fisheries.  Preliminary  data. 


expanded  commercial  catch  +  actual  number 


189 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


In  general,  the  legal  size  limits  increased  from 
north  to  south,  which  could  result  in  more  recov- 
eries of  juvenile  coho  salmon  in  northern  than 
southern  regions.  Thus,  these  data  do  not  provide 
evidence  that  a  large  proportion  of  juvenile  coho 
salmon  from  British  Columbia  and  waters  to  the 
south  made  northward  migrations  into  Alaskan 
waters  before  or  during  the  commercial  and 
sports  salmon  seasons.  Movements  of  Washing- 
ton, Columbia  River,  and  Oregon  fish  into  British 
Columbian  waters  were  common  however. 

Hunter  (1985)  expanded  the  catches  of  CWT 
juvenile  coho  salmon  caught  along  the  west  coast 
of  North  America  during  1978-80  to  the  total 
landed  plus  estimated  "drop-off'  mortality  (fish 
that  were  hooked  and  died  without  being  landed) 
of  both  tagged  and  untagged  hatchery  groups. 
Calculations  of  the  percentage  returns  from  dif- 
ferent release  and  recapture  areas  are  similar  to 
ours  (Table  6).  The  highest  percentage  of  returns 
were  from  the  areas  of  release  for  all  areas  except 
for  California,  and  a  higher  proportion  of  the 
catches  of  Washington  coastal,  Puget  Sound,  Co- 
lumbia River,  and  Oregon  coastal  stocks  were  re- 
ported north  than  south  of  the  area  of  release. 

Are  Juvenile  Coho  Highly  Migratory? 

Based  on  our  observations  on  movements  of 
marked  fish,  north-south  and  seasonal  trends  in 
abundance  and  size,  and  directional  purse  seine 
sets  during  the  summer,  we  conclude  that  many 
juvenile  coho  salmon  from  Oregon  and  Washing- 
ton coastal  streams  and  the  Columbia  River  are 
transported  by  currents  to  the  south  in  May  and 
June  but  then  migrate  north  later  in  the  summer. 
The  mean  catches  per  set  of  yearling  coho  salmon 
in  August  and  September  are  a  large  fraction  of 
those  in  June,  indicating  that  in  the  years  studied 
many  juvenile  coho  salmon  in  coastal  waters  of 
Oregon  and  Washington  were  not  highly  migra- 
tory. Moreover,  more  marked  juvenile  hatchery 
coho  salmon  were  caught  in  ocean  fisheries  in  the 
region  of  release  than  in  distant  waters.  Recover- 
ies of  juvenile  coho  salmon  released  from  hatch- 
eries south  of  Cape  Flattery  were  rare  in  northern 
waters  off  Alaska  and  relatively  few  were  recov- 
ered in  British  Columbia  (Table  6).  In  addition, 
the  positive  correlation  between  upwelling  off  Or- 
egon and  survival  of  hatchery  coho  salmon  from 
the  Columbia  River,  Oregon,  and  California 
(Nickelson  1986)  also  argues  for  a  close  coupling 
of  OPI  coho  salmon  with  a  local,  not  a  distant, 
environmental  event  during  the  time  that  year- 


class  survival  is  determined.  All  of  these  trends 
suggest  that  most  juvenile  coho  salmon  from  this 
area  are  not  highly  migratory  and  that  many  usu- 
ally remain  in  coastal  waters  near  their  sites  of 
ocean  entry  during  their  first  summer  in  the 
ocean,  and  perhaps  during  their  entire  ocean  life. 
In  years  of  unfavorable  ocean  conditions,  how- 
ever, movements  may  be  more  extensive  or  mor- 
tality may  be  higher,  as  suggested  by  the  very  low 
catches  of  juvenile  coho  salmon  in  purse  seine  sets 
south  of  Cape  Flattery  during  September  1983, 
the  year  of  the  recent  strong  El  Nino. 

Although  Pacific  salmon  are  renown  for  their 
long  foraging  migrations  in  the  subarctic  Pacific, 
coho  salmon  demonstrate  both  nonmigratory  and 
highly  migratory  behavior.  Milne  (1950)  found 
immature  coho  salmon  almost  year-round  in 
Georgia  Strait  and  concluded  that  two  types  of 
coho  salmon  exist  in  British  Columbia  waters: 
"ocean"  and  "inshore"  types,  the  "ocean"  type 
spending  most  of  its  ocean  life  in  coastal  and  off- 
shore waters  and  the  "inshore"  type  in  inside 
waters  such  as  Georgia  Strait.  Healey  (1978) 
caught  "inshore"  juvenile  coho  salmon  in  purse 
seines  in  Georgia  Strait  during  summer,  fall,  and 
winter  months.  Similarily,  large  numbers  of  coho 
salmon  originating  from  streams  of  Puget  Sound 
remain  in  the  Sound  throughout  their  marine  life 
(Haw  et  al.  1967).  Young  coho  salmon  have  also 
been  found  in  the  winter  and  spring,  many 
months  after  seawater  entry  in  Yaquina  Bay 
(Myers  1980)  and  other  Oregon  estuaries 
(J.  Nicholas^).  Hartt  and  Dell  (1986),  in  their  im- 
pressive study  of  juvenile  salmonids  of  the  north- 
eastern Pacific  during  1956-70,  recognized  these 
two  migratory  patterns  of  coho  salmon.  They 
found  juvenile  coho  salmon  in  waters  off  Vancou- 
ver Island  and  in  the  Strait  of  Juan  de  Fuca 
throughout  the  summer  and  fall,  and  concluded 
that  some  coho  salmon  spend  their  entire  marine 
life  in  "inside"  waters  and  make  only  limited 
ocean  migrations. 

What  Proportion  of  Juvenile  Coho 

from  Oregon  and 

Washington  Migrate  North? 

The  tagging  experiments  reported  by  Hartt  and 
Dell  (1986)  and  Godfrey  (1965)  provide  convinc- 
ing evidence  for  long-distance  migrations  of  coho 


■IJ.  Nicholas,  Oregon  Department  of  Fish  and  Wildlife,  Cor- 
vallis,  OR,  97331,  pers.  commun.  May  1986. 


190 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


salmon  during  their  first  summer  in  the  ocean. 
Based  on  recoveries  of  maturing  coho  salmon  that 
were  tagged  a  year  earlier  at  sea  during  April- 
October  1956-70,  Hartt  and  Dell  (1986)  con- 
cluded that  juvenile  coho  salmon  from  the  Colum- 
bia River,  Oregon,  and  California  may  form  a 
large  proportion  of  the  coho  stocks  that  migrate 
north  along  the  coast  each  summer.  Of  the  70 
recoveries  of  tagged  fish  that  were  released  be- 
tween Kodiak  Island  and  56°N,  37%  were  recov- 
ered the  following  year  in  the  area  of  the  Colum- 
bia River  and  Oregon-California;  of  the  59 
recoveries  offish  released  between  56°N  and  Cape 
Flattery,  47%  were  recovered  in  these  southern 
regions.  In  all,  25%  of  the  recoveries  were  from 
Oregon-California,  16%  from  the  Columbia 
River,  14%  from  Washington,  33%  from  British 
Columbia,  and  12%  from  Alaska. 

Loeffel  and  Forster  (1970)  concluded  that  pat- 
terns of  radioactive  ^^Zn  in  juvenile  coho  salmon 
collected  in  the  northeastern  Pacific  supported 
the  concept  of  a  northerly  migration  from  Oregon 
and  Washington  into  the  Gulf  of  Alaska  during 
the  summer.  They  found  that  juvenile  coho 
salmon  captured  off  the  west  coast  of  Vancouver 
Island  in  June  and  July  1967  contained  ^^Zn,  pre- 
sumably originating  from  neutron  activation  of 
Columbia  River  water  used  to  cool  the  nuclear 
reactors  at  Hanford,  WA.  ^^Zn  levels  decreased 
in  fish  caught  farther  to  the  north  (54°42'N- 
58°24'N)  in  July-September  of  1967.  The  authors 
thought  the  low  concentrations  in  northern  sam- 
ples represented  background  levels  and  that  fish 
with  relatively  high  levels  of  ^^Zn  had  associated 
with  the  Columbia  River  plume  and  subsequently 
migrated  north  from  the  Oregon- Washington  re- 
gion. They  found  low  ^^Zn  levels  in  1968,  how- 
ever, and  no  pronounced  latitudinal  gradients. 
Furthermore,  they  reported  none  of  the  many  fin- 
marked  juvenile  coho  salmon  released  from  Ore- 
gon and  Washington  hatcheries  in  1967  and  1968 
north  of  Juan  de  Fuca  Strait.  Hence  their  evi- 
dence for  northward  movements  of  Columbia 
River  or  Oregon-Washington  coho  salmon  was 
equivocal. 

During  June  and  July  1984,  research  was  con- 
ducted with  the  NMFS  Auke  Bay  Laboratory  in 
waters  from  northern  California  to  southwest 
Alaska  from  the  FV  Pacific  Warwind  and  Bering 
Sea ,  both  making  round  hauls  with  the  same  size 
of  purse  seine,  to  sample  juvenile  coho  in  waters 
north  of  Oregon  and  Washington:  37  sets  were 
made  in  coastal  waters  of  British  Columbia,  and 
39  were  made  in  coastal  waters  and  29  in  inland 


waters  (bays,  inlets,  and  ^ords)  of  southeastern 
Alaska.  Of  the  371  juvenile  coho  salmon  captured 
in  these  regions,  77%  were  caught  in  inland 
waters  of  southeastern  Alaska.  The  seven  CWT 
juvenile  coho  salmon  captured  were  all  from 
Alaska  inland  waters  and  all  originated  from 
Alaska  hatcheries  (Auke  Bay  Laboratory  1984a). 
A  later  cruise  in  southeast  Alaska  by  the  Auke 
Bay  Laboratory  in  August  1984  caught  eight 
CWT  coho  salmon,  also  all  from  inland  waters 
and  from  Alaskan  hatcheries  (Auke  Bay  Labora- 
tory 1984b). 

Of  the  14  CWT  juvenile  coho  salmon  collected 
in  other  purse  seines,  gill  nets,  and  special  troll 
gear  in  waters  of  southeastern  Alaska  during 
1982,  1983,  and  1985,  12  originated  from  Alaska 
hatcheries  and  2  originated  from  Washington 
hatcheries  (Auke  Bay  Laboratory  1983;  Jaenicke 
et  al.  1984;  Orsi  et  al.  1987).  Table  6  shows  that 
only  5  of  25  CWT  juvenile  coho  salmon  caught  in 
Alaskan  waters  during  1977-83  were  from  hatch- 
eries south  of  Alaska,  indicating  that  most  juve- 
nile coho  salmon  caught  in  southeastern  Alaska 
during  the  summer  originated  from  Alaska  and 
not  from  southern  regions. 

Hartt  (1980)  and  Hartt  and  Dell  (1986)  recog- 
nized that  their  data  did  not  indicate  the  propor- 
tion of  southern  stocks  that  made  northerly  mi- 
grations, but  they  concluded  that  a  large 
proportion  is  probable,  since  juvenile  coho  salmon 
were  consistently  caught  in  most  seine  sets 
throughout  the  area  sampled.  They  estimated 
that  the  average  density  of  juvenile  salmonids  in 
coastal  waters  between  56°N  and  60°N  off  south- 
eastern Alaska  during  August  and  September 
1964-68  was  1,500  km"^.  The  average  density  of 
juvenile  coho  salmon  in  this  area  during  these 
two  months  was  only  82  km~^  (Hartt  and  Dell 
1986,  app.  A).  During  August  and  September 
1981-84,  the  average  density  of  juvenile  coho 
salmon  in  our  round  hauls  between  Cape  Flat- 
tery, WA  and  Cape  Arago,  OR  to  37  km  offshore 
was  350  km"^,  several  times  the  estimates  of 
Hartt  and  Dell  for  the  same  months  of  the  year. 
This  suggests  that  juvenile  coho  salmon  may  be 
found  in  higher  densities  off  Oregon  and  Wash- 
ington than  southeastern  Alaska  during  late 
summer,  assuming  that  distributions  and  abun- 
dances in  the  late  1960s  and  early  1980s  were 
similar.  This  trend  for  higher  abundances  of  juve- 
nile coho  salmon  off  Oregon  and  Washington  than 
in  coastal  waters  farther  north  was  also  found 
during  July  1984  (Table  7),  although  average 
catches  off  Washington  and  Oregon  were  not  as 


191 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Table  7. — Average  catches  of  juvenile  coho  salmon  in  purse 
seines  sets  in  coastal  waters  along  the  west  coast  of  North  America 
during  July  198412 


Area 


No.  per  set 


No.  per  km2 


Sitka-Juneau 

Ketchikan-Sitka 

Cape  Scott-Dixon  Entrance 

Vancouver  Is. 

Washington 

Oregon  No.  California 


1.29 
0.58 
1.90 
1.80 
3.76 
2.59 


68 

3 

100 

95 
198 
136 


'Cruise  Report.  Drum  Seiner  FV  Bering  Sea,  Coastwide  NWAFC/OSU 
Cooperative  Study,  Ecology  of  Juvenile  Salmon  in  Coastal  and  Inside  Waters 
of  Soutfieast  Alaska,  28  June-26  July  1984,  NWAFC  Auke  Bay  Laboratory, 
National  Marine  Fisfierles  Service,  NCAA,  P.O.  Box  115,  Auke  Bay,  AK 
99821 . 

2Fisher  and  Pearcy  (1984). 


large  as  in  some  earlier  years  owing  to  low  sur- 
vival (Fig.  2;  Pearcy  1984;  Fisher  and  Pearcy  in 
press). 

Comparisons  of  the  estimates  of  total  juvenile 
yearling  coho  salmon  abundances  off  Oregon  and 
Washington  with  the  production  of  coho  smolts  in 
the  Oregon  Production  Area  (Columbia  River  to 
California)  also  suggests  that  many  juvenile  coho 
resided  off  Oregon  and  Washington  during  the 
summer.  By  expanding  our  catches  per  m^  to  the 
region  sampled,  we  estimated  that  the  numbers  of 
juvenile  yearling  coho  salmon  in  areas  surveyed 
by  our  purse  seine  sampling  during  August  or 
September  1981-84  were  6.3%,  6.5%  5.1%,  and 
5.2%,  respectively,  of  the  numbers  of  hatchery 
and  wild  smolts  released  in  the  Columbia  River 
and  in  Oregon  (T.  Lichatowich^).  The  areas  in- 
cluded in  these  estimates  were  roughly  83%,  62%-, 
51%,  and  68%  of  the  total  area  from  Cape  Flattery 
to  Cape  Arago  out  to  37  km  offshore.  Recognizing 
that  the  entire  area  was  not  sampled,  that  year- 
class  strength  of  coho  salmon  in  this  region  is 
probably  established  soon  after  ocean  entrance 
(Fisher  and  Pearcy  in  press),  and  that  early 
marine  mortality  may  be  inversely  related  to  size 
(Parker  1968;  Ricker  1976)  so  that  much  of  the 
ocean  mortality  has  occurred  by  late  summer, 
these  percentages  probably  represent  a  substan- 
tial portion  of  the  surviving  OPI  coho  smolts.  In 
fact,  they  are  several  times  higher  than  the 
smolt-to-adult  survival  of  1.3-2.8%  for  OPI  public 
hatchery  coho  salmon  (excluding  Rogue  River 
and  California  hatcheries)  during  1981-84  (R. 
Kaiser^). 


5T.  Lichatowich,  Oregon  Department  of  Fish  and  Wildlife, 
P.O.  Box  59,  Portland,  OR  97207,  pers.  commun.  September 
1987. 

6R.  Kaiser,  Oregon  Department  of  Fish  and  Wildlife,  Hatfield 
Marine  Science  Center,  Newport,  OR  97265,  pers.  commun. 
September  1987. 


We  conclude,  therefore,  that  a  major  fraction  of 
the  juvenile  coho  salmon  from  Oregon  and  Wash- 
ington hatcheries  did  not  undertake  distant  mi- 
grations into  the  Gulf  of  Alaska  in  recent  years. 
This  is  not  necessarily  in  conflict  with  Hartt  and 
Dell's  (1986)  data,  since  they  established  the  pres- 
ence of  Oregon  and  Washington  coho  salmon  in 
northern  waters  but  not  the  proportion  of  total 
production  that  undertakes  this  migration.  On 
the  other  hand,  neither  the  stocks  of  coho  nor 
oceanographic  conditions  have  remained  con- 
stant over  the  period  from  1956  to  1985  when 
these  two  studies  were  conducted.  Wild  coho 
smolts  exceeded  hatchery  smolts  in  the  Oregon 
Production  Area  before  1961  (Nickelson  1986)  but 
comprised  <12%  of  the  smolts  in  1980-85  (R. 
Kaiser  fn.  6).  Perhaps  wild  smolts  from  the  OPI 
area  had  different  migratory  patterns  than  hatch- 
ery smolts  do  today  and  migrated  rapidly  into 
northern  waters  soon  after  ocean  entrance.  This 
may  explain  Nickelson's  (1986)  finding  that  sur- 
vival of  hatcherv,  but  not  wild  coho  smolts,  was 
significantly  correlated  with  coastal  upwelling  off 
Oregon. 

Ocean  conditions  have  also  changed  over  this 
period.  The  late  1960's  were  accompanied  by 
strong  upwelling  along  the  coast  compared  to 
weak  upwelling  in  the  early  1980's  (Nickelson 
1986;  Mason  and  Bakun  1986).  McLain  (1984), 
Norton  et  al.  (1985),  and  Royer  (1985)  illustrated 
that  sea  surface  temperatures  and  sea  levels  in- 
creased in  the  northeastern  Pacific  between  1976 
and  1984.  These  factors  and  associated  changes  in 
ocean  circulation  could  explain  differences  in  mi- 
gratory behavior  of  coho  salmon  between  1960's 
and  1980's.  If  currents  provide  orientational  cues 
to  migration,  cues  facilitating  northerly  move- 
ments may  be  reduced  during  years  of  weak  up- 
welling and  weak  Ekman  transport  from  the 
north.  Ocean  conditions  may  have  modified  mi- 
gratory patterns,  as  they  possibly  have  for  the 
migration  of  Fraser  River  sockeye  salmon  around 
Vancouver  Island  (Groot  et  al.  1984;  Hamilton 
1985). 

ACKNOWLEDGMENTS 

We  thank  D.  Larden  and  his  crew  of  the  FV 
Pacific  Warwind  and  Bering  Sea  for  their  cooper- 
ation and  competence  during  purse  seining  opera- 
tions at  sea;  A.  Chung,  R.  Brodeur,  J.  Shenker, 
W.  Wakefield,  D.  Gushee,  C.  Banner,  J.  Long,  K. 
Krefft,  and  C.  Wilson  for  their  help  on  cruises; 
J.  Norton  and  the  Oregon  Department  of  Fish  and 


192 


PEARCY  and  FISHER:  MIGRATIONS  OF  COHO  SALMON 


Wildlife  Clackamas  Laboratory  for  decoding 
coded-wire  tags;  K.  Johnson  for  providing  data  on 
marked  fish;  W.  McNeil  and  R.  Severson  for  as- 
sisting in  fluorescent  spray-marking  Oregon 
Aqua-Food's  Inc.  smolts;  Northwest  and  Alaska 
Fisheries  Center  for  the  loan  of  a  purse  seine; 
Northwest  and  Alaska  Fisheries  Center  Auke 
Bay  Laboratory  for  the  loan  of  electronarcosis 
equipment;  and  the  Faculty  of  Fisheries,  Hok- 
kaido University,  and  the  TV  Oshoro-Maru  for 
conducting  gill  net  research.  A.  Hartt, 
H.  Jaenicke,  R.  Brodeur,  R.  Gowan,  D.  Hankin, 
and  L.  Botsford  all  provided  helpful  comments  on 
the  manuscript. 

This  research  was  supported  by  Oregon  State 
University  Sea  Grant  College  Program  (Grant 
No.  NA  81AA-D-00086,  Project  R/OPF-17),  the 
Northwest  and  Alaska  Fisheries  Center  (Con- 
tract 81-ABC-00192,  83-ABC-00102,  84-ABC- 
0009,  and  NA-85-ABH0002J),  the  Oregon  De- 
partment of  Fish  and  Wildlife,  and  Oregon 
Aqua-Foods,  Inc. 

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1967.     Mass-marking  young  salmonids  with  fluorescent 
pigment.     Trans.  Am.  Fish.  Soc.  96:157-162. 
Richer.  W.  E 

1976.     Review  of  the  growth  rate  and  mortality  of  Pacific 
salmon  in  salt  water,  and  non-catch  mortality  caused  by 
fishing.     J.  Fish.  Res.  Board  Can.  33:1483-1524. 
Royer,  T.  C. 

1985.     Coastal  temperature  and  salinity  anomalies  in  the 
northern  Gulf  of  Alaska,  1970-84.     In  W.  S.  Wooster  and 
D.   L.  Fluharty  (editors),  El  Nino  North,  p.   107-115. 
Univ.  Wash.  Sea  Grant  Program. 
SCARNECCHIA,  D.  L. 

1981.     Effects  of  streamflow  and  upwelling  on  yield  of  wild 
coho  salmon  (Oncorhynchus  kisutch )  in  Oregon.     Can.  J. 
Fish.  Aquat.  Sci.  38:471-475. 
SUSUKI,  T.,  AND  H  SONODA 

1972.  On  a  trial  fish  finder  for  salmon  and  its  experimen- 
tal results.     Bull.  Jpn.  Soc.  Sci.  Fish.  38:463-469. 

Wakefield,  W.  W.,  J.  P.  Fisher,  and  W  G  Pearcy. 

1981.     Studies  of  juvenile  salmonids  off  the  Oregon  and 
Washington  coast,  1981.     Oreg.  State  Univ.  Sea  Grant 
College  Program  Ref  81-13,  51  p. 
Ware,  D  M 

1978.     Bioenergetics  of  pelagic  fish:  Theoretical  change  in 
swimming  speed  and  ration  with  size.    J.  Fish.  Res. 
Board  Can.  35:220-228. 
Weihs,  D 

1973.  Optimal  fish  cruising  speed.     Nature  245:48-50. 


195 


EARLY  MARINE  LIFE  OF  ATLANTIC  SALMON,  SALMO  SALAR, 
POSTSMOLTS  IN  THE  NORTHERN  GULF  OF  ST.  LAWRENCE 

J  -D  DUTIL  AND  J.-M.  COUTU' 

ABSTRACT 

Postsmolts  of  Atlantic  salmon,  Salmo  salar,  having  spent  some  2-4  months  in  the  marine  environ- 
ment were  collected  in  the  nearshore  zone  of  the  northern  Gulf  of  St.  Lawrence.  From  a  back- 
calculated  smolt  length  of  135  mm  they  had  increased  in  length  to  265  mm  (212  g)  on  1  September, 
and  306  mm  (320  g)  on  30  September.  The  rate  of  increase  in  length  averaged  1.65  mm/day  over  more 
than  2  months.  Individuals  reached  35  cm  and  500  g  in  late  autumn.  Postsmolts  moved  in  small  shoals 
near  the  surface  and  were  possibly  more  active  at  dawn  and  dusk.  In  midsummer,  stomach  contents 
changed  from  insects  and  gammarids  to  sand  lance,  40-100  mm  in  length;  vertically  migrating 
crustaceans  also  occurred  in  the  stomachs  in  autumn.  River  origin  of  these  postsmolts  is  not  known. 
The  possibility  of  their  belonging  to  a  particular  subgroup  of  some  north  shore  stocks  is  examined  in 
relation  to  scale  patterns  and  size  of  gonads.  This  occurrence  of  postsmolts  near  shore  in  late  summer 
and  presumably  their  late  movement  out  of  the  Gulf  of  St.  Lawrence  indicate  the  directional  nature 
of  smolt  migration  to  distant  feeding  areas  should  be  reconsidered.  Low  sea  temperature  is  hypothe- 
sized to  trigger  the  movement  out  of  the  Gulf  of  St.  Lawrence.  Continual  presence  of  postsmolts  in  a 
shallow  layer  at  the  surface  could  prove  to  be  extremely  valuable  in  forcasting  movements  and 
production. 


Many  papers  have  been  published  concerning  the 
biology  of  Atlantic  salmon,  Salmo  salar,  but  very 
little  has  been  said  concerning  the  postsmolt 
stage.  This  stage  has  been  defined  as  ".  .  .the 
juvenile  salmon  from  the  time  that  it  leaves  the 
river  as  a  smolt  until  the  onset  of  wide  annulus 
formation  on  the  scales  at  the  end  of  the  first 
winter  in  the  sea"  (Allan  and  Ritter  1977).  This 
paper  presents  new  data  on  the  Atlantic  salmon 
postsmolts  (hereafter  referred  as  postsmolts)  in 
the  northern  Gulf  of  St.  Lawrence,  reviews  our 
current  knowledge  on  the  biology  of  postsmolts, 
and  points  to  biological  and  environmental  fac- 
tors potentially  limiting  the  success  of  their  early 
life  in  marine  environments. 

Published  data  on  postsmolts  are  mainly  lim- 
ited to  stocks  in  the  Baltic  Sea.  Routes  of  migra- 
tion have  been  described  based  on  the  locations 
and  time  of  early  recapture  from  smolt  releases  in 
Sweden  and  Finland  (Carlin  1959;  Larsson  and 
Ateshkar  1979;  Ikonen  and  Auvinen  1984,  1985; 
Jutila  and  Alapassi  1985).  Data  on  predators  are 
limited  (Soikkeli  1973;  Valle  1985),  and  most  of 
the  material  concerns  predation  on  smolts  in 
streams  and  estuaries  (Larsson  1985).  Many 
analyses  of  stomach  contents  have  been  pub- 


'Ministere  des  Peches  et  des  Oceans,  Gouvernement  du 
Canada,  850,  route  de  la  Mer,  C.P.  1000,  Mont-Joli,  Quebec, 
Canada  G5H  3Z4. 


lished,  particularly  on  smaller  postsmolts  (re- 
viewed by  Christensen  and  Larsson  1979;  Jutila 
and  Toivonen  1985).  Data  on  rate  of  growth 
(Ikonen  and  Auvinen  1985)  and  rate  of  mortality 
(Carlin  1959)  are  lacking.  However,  Baltic 
salmon  spend  their  entire  sea  life  in  the  brackish 
waters  of  the  Baltic  and  nearly  80%  of  smolt  pro- 
duction originates  from  hatcheries  (Anonymous 
1984).  Thus  the  information  derived  from  salmon 
in  the  Baltic  should  be  extended  to  other  stocks 
only  with  caution. 

Publications  on  postsmolts  in  the  northern  At- 
lantic and  Gulf  of  St.  Lawrence  mentioned  small 
salmon  as  bycatches  of  commercial  fisheries  and 
described  the  distribution  of  recaptures  from 
smolt  release  programs.  The  earliest  report  on 
postsmolts  in  the  Gulf  of  St.  Lawrence  claimed 
that  small  salmon,  referred  to  as  "ouananiche"  by 
local  fishermen,  were  regularly  taken  near  shore 
in  herring  nets  in  autumn  (Comeau  1909). 
Kendall  (1935)  also  reported  such  incidental 
catches  for  the  New  England  coast.  Elson  (1953) 
recorded  a  bycatch  of  more  than  1,000  marked 
postsmolts  from  one  locality  in  the  Bay  of  Fundy 
in  the  period  1951-53  and  reported  their  mean 
length.  There  are  also  limited  records  of 
postsmolts  taken  off  France  (Vibert  1953)  and  in 
the  Gulf  of  St.  Lawrence  (Caron  1983)  from 
smolts  tagged  in  streams.  Recently,  information 
on  movements  has  been  derived  from  tag  returns 


Manuscript  accepted  December  1987. 
FISHERY  BULLETIN;  VOL.  86,  NO.  2,  1988. 


197 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


of  smolts  released  in  spring  in  New  England  and 
caught  in  summer  in  Canada  (Meister  1984).  Ru- 
mors of  bycatch  in  herring  nets  along  the  coast  of 
the  northern  Gulf  of  St.  Lawrence  in  autumn  pro- 
vided an  occasion  to  acquire  some  knowledge  con- 
cerning the  elusive  postsmolt.  Production  of 
salmon  in  the  sea  may  well  be  limited  by  the 
success  of  smolts  in  the  marine  environment. 

Materials  and  Methods 

Postsmolts  were  collected  between  Bale  Trinite 
and  Riviere-au-Tonnerre  in  the  northern  Gulf  of 
St.  Lawrence,  in  1982,  1983,  1984,  and  1985  (Fig. 
1).  Fishermen  contacted  in  summer  1982  col- 
lected postsmolts  in  late  summer  and  autumn  as 
bycatch  in  herring  gill  nets.  Four  of  them  were 
asked  in  1983  to  monitor  the  catch  of  postsmolts 
in  experimental  gill  nets  in  late-September  in  4 
locations  (Bale  Trinite,  Riviere  Pentecote,  Port 
Cartier,  and  Sept-Iles).  We  also  monitored  sta- 
tions in  Bale  Trinite  in  1983  (23  September-11 
October),  in  Baie  Trinite  and  Port  Cartier  in  1984 
(21  August-20  October),  and  in  Sept-Iles  in  1985 
(20  August-4  October).  Finally,  smolts  and  early 
postsmolts  were  collected  in  seines  in  June  and 


July,  during  an  eel  marking  program  in  the  estu- 
ary of  Grande  Trinite  River  at  Baie  Trinite  (Fig. 
1). 
Fishermen  used  standard  herring  gill  nets  in 

1982,  but  custom-made  gill  nets  were  used  in 

1983,  1984,  and  1985.  Custom-made  gill  nets  had 
5  sections  of  increasing  mesh  sizes  (50.8,  57.2, 
63.5,  69.9,  and  76.2  mm  stretched)  covering  the 
range  in  mesh  sizes  of  herring  gill  nets  in  the 
northern  Gulf  of  St.  Lawrence.  Stretched  mesh 
sizes  were  determined  by  measuring  10  meshes 
per  section.  Sections  were  6  m  deep  and  10  m  long. 
In  1983,  1984,  and  1985,  postsmolts  were 
recorded  by  section  individually.  In  1984  and 
1985,  their  position  in  the  nets  was  recorded  more 
precisely:  floating  lines  had  numbered  buoys  and 
a  string  divided  the  nets  into  2  halves  horizon- 
tally. Time  of  the  catch  was  also  recorded.  The  gill 
nets  were  usually  visited  at  2-h  intervals  be- 
tween 0600  and  1800,  as  sea  conditions  allowed. 
They  were  left  fishing  overnight.  Gill  nets  were 
all  set  at  the  surface  and  near  shore  (<2  km). 
Mean  air  temperatures  for  1982  to  1985  were 
drawn  from  Environment  Canada  meteorological 
summaries  for  Sept-Iles  airport.  Temperature 
recorders  were  also  tied  to  nets  in  1983,  1984,  and 


R.MOISIE 


SEPT-ILES 
PORT  CARTIER. 

R.PENTECdTE*/ 


NORTH  SHORE 


GULF 
OF 
ST. LAWRENCE 


Figure  1. — Locations  of  the  areas  investigated  in  the  northern  Gulf  of  St. 
Lawrence  (shaded  area). 


198 


DUTIL  AND  COUTU:  EARLY  LIFE  OF  ATLANTIC  SALMON 


1985  to  get  hourly  records  of  temperature  near 
the  surface,  but  portions  of  these  records  are  miss- 
ing. 

Fish  were  preserved  at  -15°C  for  less  than 
4  months  in  1982  and  less  than  2  months  in  1983, 
1984,  and  1985.  Fork  length  was  measured  to 
nearest  mm  and  weight  to  nearest  g.  Condition 
index  values  were  calculated  as 


C/  =  sin   1 


100  ■  W 


0.5 


CI  =  condition  index;  W  =  weight  (g);  L  =  length 
(mm);  s  =  slope  of  the  length- weight  relationship 
for  age  groups  combined.  Scales,  usually  taken 
below  the  dorsal  fin  close  to  the  lateral  line,  were 
cleaned  and  mounted  on  glass  slides.  Stomachs 
were  preserved  in  formalin  (10%)  or  alcohol  (70%) 
to  be  analyzed  later  for  their  contents.  The  sex 
was  determined  visually  and  checked  histologi- 
cally on  a  subsample  of  postsmolts  collected  in 
1982.  Gonads  were  weighed  to  nearest  mg  and 
only  in  1982.  Gonadosomatic  index  (GSI)  was  cal- 
culated as 


GSI  = 


GW 


TW-GW 


100 


where  GW  =  gonad  weight;  TW  -  total  weight. 

Scales  showing  no  focal  regeneration  were  ex- 
amined for  age  determination  by  2-4  readers. 
Readings  were  discussed  and  a  consensus  was 
reached  in  most  cases.  Reported  ages  are  smolt 
ages  plus  2-4  months.  Fork  length  at  smoltifica- 
tion  (mm)  was  back-calculated  as 


LS  = 


(LC  -  34)  ■  RS 
RC 


+  34 


where  LS  =  back-calculated  smolt  length;  LC 
=  body  length  of  post  smolt;  RS  =  scale  radius  at 
smolt  check;  RC  =  scale  radius  of  postsmolt. 
Length  at  scale  formation  is  assumed  to  be  34 
mm.  Scales  were  also  examined  for  any  mark  in 
the  postsmolt  zone  that  could  be  of  potential  in- 
terest. Hence  the  number  of  individuals  showing 
a  transition  zone  between  the  riverine  and 
marine  increments  was  determined  in  1982,  and 
the  number  of  individuals  showing  a  summer 
check  was  determined  in  1982,  1983,  1984,  and 
1985.  Scale  radii  were  measured  along  the 
postero-anterior  axis  on  4  scales  per  individual  in 
1982,  and  on  1  scale  per  individual  in  1983,  1984, 
and  1985.  Projected  scales  were  measured  at  con- 


stant magnification  on  a  digitizing  pad  connected 
to  a  personal  computer.  Fork  length  at  formation 
of  a  summer  check  (mm)  was  back-calculated  for 
1982  and  1983  as 


LF  = 


(LC  -  34)  •  RM 
RC 


+  34 


where  LF  =  back-calculated  length;  LC  =  body 
length  of  postsmolt;  RM  =  scale  radius  at  summer 
check;  RC  =  scale  radius  of  postsmolt. 

Stomach  contents  were  examined  in  detail  in 
1982.  Results  are  expressed  as  percentage  of  oc- 
currence (number  of  stomachs  containing  an  item 
divided  by  the  number  of  stomachs  examined) 
and  percentage  by  number  (the  count  number  of 
an  item  divided  by  the  count  number  of  all  items). 
Food  items  that  could  not  be  identified  are  re- 
ferred to  as  remains.  In  as  far  as  their  condition 
allowed,  prey  fish  were  usually  measured  to  the 
nearest  cm.  Stomach  contents  examined  in  1983, 
1984,  and  1985  were  consistent  with  the  1982 
conclusions,  so  the  results  are  not  presented. 

Results 
The  Age  and  Sex  Composition 

Three-year-old  female  salmon  dominated  the 
catch  both  in  1982  and  1983  (Table  1).  Postsmolts 
ranged  from  2  to  5  years  in  1982  and  from  2  to  4 
years  in  1983.  Five-year-old  salmon  made  up  less 
than  4%  of  the  catch  in  1982.  Three-year-old  and, 
to  a  lesser  extent,  4-yr-old  salmon  dominated  the 
catch  both  in  1982  and  1983  (82%  of  the  catch); 
mean  smolt  age  was  3.2  ±  0.7  years.  Age  composi- 
tion in  1983  differed  from  1982  because  of  an  in- 
crease in  the  percentage  of  2-yr-old  salmon  (12% 
to  21%)  and  a  decrease  in  the  percentage  of  5-yr- 
old  salmon  (x^  =  15.96,  P  <  0.01).  The  sex  ratio 
(male:female)  for  1982  and  1983  combined  was 


Table  1 . — The  age  and  sex  composition  of  the  catch  of  postsmolt 
Atlantic  salmon  along  the  north  shore  of  the  Gulf  of  St.  Lawrence, 
1982  and  1983. 


Sex 

Smolt 

age 

Year 

2 

3 

4 

5 

Total 

1982 

Female 

26 

114 

79 

7 

226 

Male 

19 

67 

49 

7 

142 

1983 

Female 

25 

58 

15 

0 

98 

Male 

8 

26 

23 

0 

57 

Total 

Female 

51 

172 

94 

7 

324 

Male 

27 

93 

72 

7 

199 

199 


FISHERY  BULLETIN;  VOL.  86,  NO.  2 


0.62.  This  ratio  did  not  change  between  years  (x^ 
=  7.92,  P  <  0.01)  and  was  significantly  less  than 
1.0  (binomial  test:  z  =  -5.37,  P  <  0.001).  There 
was  no  trend  between  sex  ratio  and  smolt  age  in 
1982  (x^  =  1.21,  P  =  0.75),  but  the  percentage  of 
males  tended  to  increase  with  smolt  age  in  1983 
(X^  -  12.67,  P  -  0.002). 

Length  at  Smoltification 

The  mean  length  at  smoltification  was  esti- 
mated by  back-calculation  at  135  ±  15  mm  for 
postsmolts  collected  in  1982  and  1983.  Scale  ra- 
dius was  linearly  related  to  body  length  both  in 

1982  (4  scales  measured  per  fish,  P  <  0.0001)  and 
in  1983  (1  scale  measured  per  fish,  P  <  0.0001); 
probability  values  are  those  of  F-tests  from  anal- 
ysis of  variance.  Back-calculated  smolt  lengths 
were  normally  distributed  (P  =  0.80):  75%  of  the 
postsmolts  ranged  between  120  and  150  mm  at 
smoltification.  There  were  also  7%  individuals  in 
the  160-200  mm  range.  Differences  in  mean 
smolt  length  were  not  significant  between  the 
ages  and  the  sexes  both  in  1982  (F  =  1.84, 
P  =  0.08)  and  in  1983  (F  =  1.05,  P  =  0.39),  and, 
pooling  the  ages  and  the  sexes,  between  1982  and 

1983  (^  =  1.32,  P  >0.15). 

Rate  of  Increase  in  Size 

The  rate  of  increase  in  size  of  postsmolts  was 
very  rapid  in  summer  both  in  1982  and  1983. 
Postsmolts  collected  in  1982  between  mid-August 
and  mid-October  in  =  383;  mean  date  is  1  Sep- 
tember) averaged  265  ±  25  mm  (range  195-328) 
and  212  ±  58  g  (range  92-389).  In  1983, 
postsmolts  collected  between  mid-September  and 
mid-October  (n  =  155,  mean  date  is  30  Septem- 
ber) averaged  306  ±  17  mm  (range  258-362)  and 
320  ±  57  g  (range  192-565).  There  was  no  differ- 
ence in  mean  size  between  males  and  females  and 
between  age-classes  in  1982  (P  >  0.40)  and  1983 
(P  >  0.20);  probability  values  are  those  of  F-tests 
from  2-way  analysis  of  variance.  From  a  mean 
smolt  length  of  135  mm  and  assuming  smolts  mi- 
grated to  estuaries  15  June,  postsmolts  grew  at  a 
rate  of  1.65  mm/day  during  a  2.5-mo  (15  June — 
1  September)  and  a  3.5-mo  (15  June-30  Septem- 
ber) period  in  1982  and  1983,  respectively. 

This  estimate  is  conservative  because  the  rate 
of  increase  in  length  tended  to  decrease  late  in  the 
sampling  period.  Postsmolts  steadily  increased  in 
length  and  weight  in  the  period  mid-August  to 
mid-September    1982    (Figs.    2,   3).    From    mid- 


September,  the  rate  tended  to  slow  down.  The 
inclusion  of  data  for  1983,  collected  later  in  the 
autumn,  corroborates  this  observation  indicating 
that  conditions  changed  in  late-September  in 
1982  and  1983. 

Length-weight  relationships  were  examined 
for  1982  and  1983  separately.  The  analysis  of  co- 
variance  showed  that  males  and  females  exhib- 
ited the  same  length-weight  relationship,  both  in 

1982  (P  -  0.53)  and  1983  (P  -  0.42).  Similarly, 
length-weight  relationship  did  not  change  be- 
tween age  groups  in  1982  (P  -  0.06)  and  1983 
(P  =  0.49).  The  covariance  for  1982  was  nearly 
significant  because  the  slope  for  5-yr-old 
postsmolts,  based  on  15  individuals,  was  larger 
than  for  other  age  groups.  However,  mean  condi- 
tion index  values  by  age  revealed  no  significant 
difference  between  age  groups  in  1982  (P  =  0.11) 
or  1983  (P  =  0.28). 

Since  there  was  also  no  significant  difference  in 
the  length- weight  relationship  between  1982  and 

1983  (P  =  0.14),  the  data  were  pooled.  Thus  the 
length-weight  relationship  for  postsmolts  col- 
lected in  this  study  can  be  described  as  a  single 
regression: 

log  W  =  (2.8280  •  log  L)  -  4.5336 

P  <  0.001,  n  =  539 

where  W  =  weight  (g);  L  =  length  (mm). 

Maturation  of  Gonads 

Postsmolts  were  all  immature  both  in  1982  and 
1983,  but  differences  were  observed  between 
males  and  females  in  1982.  Testes  averaged 
48  ±  6  mg  (95%  C.L.,  n  =  124)  for  a  mean  male 
gonadosomatic  index  value  of  0.025%  ±  0.003% 
(95%  C.L.,  n  =  124).  There  was  no  significant  dif- 
ference in  the  mean  value  of  either  parameter 
between  age  groups  (P  >  0.52).  Testis  weight  in- 
creased in  time  and  as  body  length  and  body 
weight  increased,  but  again  there  was  no  differ- 
ence between  age  groups  (Table  2).  However,  the 
gonadosomatic  index  did  not  change  in  time 
(P  =  0.10)  or  as  postsmolts'  size  increased 
(P  =  0.16  for  body  length  and  P  =  0.10  for  body 
weight),  suggesting  that  changes  in  size  of  the 
testes  were  not  allometric  in  male  postsmolts  in 
the  autumn  period.  Regressions  were  tested  and 
compared  following  Snedecor  and  Cochran  (1967) 
and  Sokal  and  Rohlf  (1969). 

There  was  more  variability  in  the  data  for  fe- 


200 


DUTIL  AND  COUTU:  EARLY  LIFE  OF  ATLANTIC  SALMON 

360-. 

350 

340- 

330 

320H 

310 

300- 

290- 


E 
E 


I- 
O 

z 

UJ 


280 
270 
260 
250 
240 
230 
220 
210 
200 
190- 
180- 


•  *♦  •     . 

*  A  * 


01     06     11     16     21     26    31     05    10     15     20    25    30    05    10     15     20    25    30 

AUGUST  SEPTEMBER  OCTOBER 

DATE 


Figure  2. — Seasonal  changes  in  length  of  Atlantic  salmon  postsmolts  collected  in  1982  and  1983. 


Table  2. — Functional  regressions  of  gonad  weight  on  date,  body  length,  and 
body  weight  of  Atlantic  salmon  male  postsmolts  {n  =  124).  Lengths  and 
weights  are  log-transformed. 


Date 


Length  (mm) 


Weight  (g) 


Regression 
Covariance 
(age  groups) 


P<  0.00011 
P  =  0.31  n.s. 


P<  0.00012 
P  =  0.56  n.s. 


P<  0.00013 
P  =  0.47  n.s. 


1/ =  0.0168  X- 5.41 66 
2y  =  7.8496  X  -  20.3350 
3V  =  2.6798  X-  7.5298. 


201 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


O) 


lU 


460 
440 

420 
400 
380 
360 
340 
320 
300 
280 
260 
240 
220 
200 
180 

160 
140 
120 
100 


(473) (565)      (464) 
(488) 


01     06     11      16     21     26    31     05     10     15     20    25    30     05     10     15     20     25    30 


AUGUST 


SEPTEMBER 
DATE 


OCTOBER 


Figure  3. — Seasonal  changes  in  weight  of  Atlantic  salmon  postsmolts  coUecteci  in  1982  and  1983. 


males.  Though  the  size  of  ovaries  did  not  differ 
significantly  between  age  groups  (P  =  0.07),  go- 
nadosomatic  index  values  increased  in  older  fe- 
male postsmolts  (P  =  0.0006).  Mean  values 
ranged  from  133  mg  (0.06%)  for  2-yr-old  post- 
smolts to  205  mg  (0.10%)  for  5-yr-old  postsmolts 
(Table  3).  The  regressions  of  ovary  weight  on  body 
length,  body  weight,  and  time  were  all  significant 
except  for  5-yr-old  females  (Table  4),  and  differed 
between  age  groups  particularly  in  elevation 
(P  <  0.05,  n  -  213).  The  regressions  of  gonadoso- 
matic  index  values  on  the  same  variables  were 


Table  3. — Gonad  weight  (mg)  and  gonadosomatic  index  (GSI)  (%) 
of  Atlantic  salmon  female  postsmolts:  mean  values  and  confidence 
limits  (n  =  213). 


Gonad 
Mean 

weight 

95%  C.L. 
interval 

GSI 

Age 
group 

Mean 

95%  C.L. 
interval 

2 
3 
4 
5 

133 
152 
175 
205 

124-144 
142-163 
161-189 
194-217 

0.064 
0.077 
0.092 
0.095 

0.060-0.067 
0.073-0.082 
0.087-0.098 
0.091-0.099 

202 


DUTIL  AND  COUTU:  EARLY  LIFE  OF  ATLANTIC  SALMON 


not  significant  indicating  that,  in  females  as  in 
males,  changes  in  size  of  the  gonads  were  not 
allometric  (body  length:  P  =  0.06;  body  weight: 
P  =  0.73;  time:  P  -  0.68). 

Scale  Marks 

Scales  used  for  age  determination  were  also  ex- 
amined for  any  mark  that  could  be  of  use  in  stock 
identification.  Many  individuals  exhibited  a  tran- 
sition zone  on  their  scales.  Circuli  in  this  zone 
were  more  wide-spaced  than  circuli  laid  down  in 
earlier  summers,  but  they  were  more  narrow- 
spaced  than  circuli  formed  in  summer  in  a  marine 
environment.  This  mark  was  present  on  73%  of 
the  scales  in  both  males  and  females  (72.6  and 
73.87f)  but  tended  to  decrease  as  smolt  age  in- 
creased: 84%  (age  2  years),  75%  (3  years),  68%  (4 
years),  and  62%  (5  years).  However,  the  trend  was 
not  significant  (x^  =  5.74,  P  >  0.10). 

Scales  also  exhibited  summer  checks  in  1982, 
1983,  and  1984.  The  number  of  circuli  between 
the  smolt  mark  and  the  summer  check  was 
10.9  ±  2.6  (mean  ±  SD)  (range  7-15)  in  1982  and 
9.7  ±  2.2  (range  5-15)  in  1983.  The  ratio  between 
the  radius  to  summer  check  and  the  radius  to 
smolt  mark  averaged  2.00  ±  0.30  (range  1.49- 
2.45)  in  1982,  and  1.67  ±  0.19  (range  1.26-2.32) 
in  1983.  The  overall  percentage  of  occurrence  was 
low  in  1982  (3.6%)  and  involved  only  specimens 
collected  in  the  area  Bale  Trinite-Pointe  aux 
Anglais  where  11  out  of  13  postsmolts  examined 
showed  a  summer  check.  The  incidence  of  sum- 
mer checks  on  scales  increased  markedly  in  1983 
(55%)  and  1984  (75%),  and  summer  checks  were 
no  longer  restricted  in  distribution.  Examination 
of  data  concerning  postsmolts  possessing  a  sum- 


mer check  showed  no  relationship  between  the 
check  and  measured  biological  variables  except 
perhaps  in  1982.  The  gonads  of  males  having  a 
summer  check  on  their  scales  in  =  5)  were  heav- 
ier than  in  males  having  no  summer  check  (120 
mg  and  48  mg  respectively).  Their  gonadosomatic 
index  was  also  higher  (GSI  =  0.042%  and  0.025% 
respectively).  This  was  not  so  in  females.  Infor- 
mation on  gonads  is  not  available  for  1983,  1984, 
and  1985. 

Back-calculated  lengths  at  summer  check  for- 
mation were  larger  in  1982:  22  ±  2.5  cm  in  1982 
and  20  ±  2  cm  in  1983.  Postsmolts  measured  265 
mm  on  1  September.  With  a  mean  rate  of  increase 
in  length  of  1.65  mm/day,  the  check  must  have 
been  formed  some  26  (1982)  to  40  (1983)  days 
earlier,  i.e.,  in  late-July.  This  is  confirmed  by  ex- 
trapolation of  the  length-date  plot  (Fig.  2).  No 
salmon  were  noted  possessing  2  summer  checks 
on  their  scales. 

Food  Items 

Drastic  changes  took  place  in  prey  selection  be- 
tween postsmolts  collected  in  summer  and  in  au- 
tumn. The  stomach  contents  of  40  salmon  ranging 
up  to  188  mm  in  length  (70  g)  collected  in  the 
second  half  of  July  1984  in  the  estuary  of  the 
Grande  Trinite  River,  near  Bale  Trinite,  revealed 
a  low  diversity  in  prey  items,  indicative  of  a  tran- 
sition period  between  the  riverine  and  marine  en- 
vironment. Small  fish  remains  were  observed  in 
only  5  out  of  39  stomachs  containing  food  re- 
mains. Invertebrates  were  observed  in  38  stom- 
achs, classes  Insecta  and  Crustacea  occurring  in 
87  and  92%  of  the  stomachs  respectively.  Food 
items  consisted  mainly  of  2  families:  Chironomi- 


Table  4.  -  Functional  regressions  of  gonad  weight  on  date,  body  length,  and 
body  weight  of  Atlantic  salmon  female  postsmolts  (n  =213).  Lengths  and 
weights  are  log-transformed. 


Significance 


Functional  regression 


Date 


Length 
(mm) 


Weight  (g) 


2:  P  =  0.0001 

3  :  P  =  0.0001 

4  :  P  =  0.0058 

5  :  P  =  0.26  n.s. 

covariance  :  P 


2 
3 
4 
5 

2 
3 
4 

5 


P  <  0.0001 
P  <  0.0001 
P  <  0.0001 
P  =  0.34  n.s. 
covariance 

P  <  0.0001 
P  <  0.0001 
P  <  0.0001 
P  =  0.28  n.s. 
covariance 


Y  =  0.0075  X 

Y  =  0.0044  X 

Y  =  0.0052  X 


2.7127 
1.9052 
2.0229 


0.04 


y  =  3.8015  X-  10.1089 
y  =  2.9105  X  -  7.8659 
/  =  3.1893  X  -8.4701 


P  =  0.02 


Y=  1.31 10  X- 3.9428 
Y  =  1 .0385  X  -  3.2227 
Y=  1.1763  X- 3.4659 


P  =  0.04 


203 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


dae  (95%  of  insects  by  number)  and  Gammaridae 
(92%  of  crustaceans  by  number). 

Later  in  summer  and  autumn,  postsmolts  con- 
sumed mainly  small  fish.  Stomach  contents  were 
analyzed  for  373  out  of  385  postsmolts  collected  in 
1982.  There  were  109  stomachs  with  no  food  re- 
mains (29%).  They  were  most  prevalent  in  the 
first  half  of  August:  46%,  1-15  August;  25%,  16- 
31  August;  26%,  1-15  September;  25%,  16  Sep- 
tember-31  October.  Fishes  dominated  the  list  of 
prey  items  as  they  occurred  in  238  out  of  264 
(90%)  stomachs  containing  food  remains,  includ- 
ing 200  postsmolts  (84%)  that  fed  exclusively  on 
small  fish.  Fishes  could  be  identified  in  157  stom- 
achs. Diversity  was  low,  capelin,  Mallotus  villo- 
sus,  occurring  in  16  stomachs  (10%)  and  sand 
lance,  Ammodytes  americanus,  in  145  stomachs 
(92%).  Ammodytes  americanus  dominated  in 
terms  of  percentage  by  number  (94%).  Postsmolts 
consumed  smaller  A.  americanus,  in  the  40-100 
mm  range  (Fig.  4).  Stomachs  examined  in  1983, 
1984,  and  1985  confirmed  these  observations. 

Invertebrates  were  found  in  69  out  of  264  stom- 
achs (26%)  containing  food  remains.  Eighteen 
postsmolts  had  only  invertebrates  in  their  stom- 
achs (26%).  In  contrast  with  smolts  in  the  estua- 
rine  environment,  postsmolts  did  not  rely  on  in- 
sects; insects  occurred  in  only  8  stomachs  (3%), 
whereas  crustaceans  occurred  in  61  stomachs 
(23%)  (respectively,  12  and  88%  by  number).  Fur- 
thermore, the  class  Amphipoda  no  longer  domi- 
nated the  crustaceans  (Table  5). 


>- 
O 

z 
u 

o 

ui 

oc 
u. 


20     40     60     80     100  120  140   160 
LENGTH    -   CLASS   (mm) 


Figure  4. — Length  distribution  of  sand  lance  in  the  stomachs  of 
Atlantic  salmon  postsmolts  collected  in  1982. 


Horizontal  and  Vertical  Position 
in  the  Nets 

Postsmolts  were  not  randomly  distributed  in 
the  nets  in  1984.  They  occurred  most  frequently 
(78%  of  the  individuals)  in  the  top  half  of  the  nets 
(binomial  test;  z  =  4.62,  P  <  0.001;  Siegel  1956). 
Furthermore,  25  out  of  74  salmon  occurred  alone 
in  the  nets,  but  many  also  occurred  in  clusters. 
Positions  of  postsmolts  are  indicated  by  number 
of  nearest  buoy  on  the  head-line  for  those  sets 
having  taken  2  salmon  and  more  (stations  visited 
at  2-h  intervals  usually  but  also  nets  set 
overnight)  (Table  6).  Distributions  are  likely  not 
random  in  sets  3,  6,  7,  9,  10,  and  11  and  most 
particularly  in  sets  13  and  15.  The  catch  was  low 
in  midday:  3  salmon  between  0900  and  1200  and 
5  between  1200  and  1500.  This  increased  to  12 
between  1500  and  1800.  The  majority  were 
caught  later  than  1800  (36)  and  in  the  morning 
between  0600  and  0900  (20). 

Finally,  positions  in  the  nets  were  analyzed  in 
terms  of  selectivity.  The  gear  used  in  1982  could 
not    be    controlled.    Fishermen    reported    using 


Table  5. — Crustacean  organisms  in  the  stomachs  of  Atlantic 
salmon  postsmolts  collected  in  the  penod  August-October  1982, 
based  on  39  stomachs  containing  identifiable  crustaceans. 


Crustacean 
order 

Percentage 

of 
occurrence 

Percent- 
age by 
number 

Main  organisms 

Euphausia- 
cea 

Decapoda 

Amphipoda 

87 

28 

15 

68 

24 
8 

Meganyctiphanes  norvegica 
Thysanoessa  inermis 
Thysanoessa  raschi 

Chionoecetes  opilio 
(larvae) 

Table  6. — Positions  of  Atlantic  salmon  postsmolts  in  nets  by  num- 
ber of  nearest  buoy  on  head-line  for  catches  of  2  salmon  and  more. 


Set 

No.  of 

no. 

smolts 

Number  of  nearest  buoy  to  each  smolt 

1 

2 

11 

32 

2 

2 

12 

23 

3 

2 

14 

15 

4 

2 

15 

23 

5 

2 

19 

27 

6 

2 

22 

24 

7 

2 

23 

23 

8 

2 

23 

39 

9 

2 

25 

27 

10 

2 

23 

27 

27 

11 

4 

16 

21 

21 

43 

12 

5 

16 

24 

33 

42     44 

13 

5 

23 

23 

23 

23     23 

14 

6 

12 

17 

18 

18     22     42 

15 

9 

11 

12 

12 

12     13     13     13     14     14 

204 


DUTIL  AND  COUTU:  EARLY  LIFE  OF  ATLANTIC  SALMON 


62  mm  stretched  mesh  nets  (range  57-70  mm); 
mesh  size  is  regulated.  The  nets  used  in  1983, 
1984,  and  1985,  had  5  sections  of  increasing 
stretched  mesh  sizes:  50.8,  57.2,  63.5,  69.9,  and 
76.2  mm.  Catches  were  recorded  for  individual 
mesh  sizes  in  1983  combining  the  4  stations. 
Modal  length  increased  only  slightly  as  mesh  size 
increased.  Furthermore,  the  distribution  for  the 
69.9  mm  mesh  was  skewed  to  the  right,  indicat- 
ing no  larger  sized  postsmolts  were  present. 
There  was  also  no  catch  in  the  50.8  mm  mesh,  but 
this  may  have  been  because  of  the  small  mesh 
section  being  made  of  a  coarser  material  in  1983. 
Postsmolts  were  frequent  in  =  49)  in  the  57.2  mm 
mesh,  but  the  distribution  for  this  mesh  does  not 
suggest  the  existence  of  smaller  postsmolts  as  the 
size  range  is  similar  to  that  of  the  63.5  mm  mesh 
and  covers  the  size  range  for  the  5  meshes  com- 
bined. Catches  declined  from  a  maximum  in  the 
63.5  mm  mesh  (56)  to  40  and  9  in  the  69.9  and 
76.2  mm  mesh,  respectively.  Therefore  it  is  un- 
likely that  there  was  any  bias  except  perhaps 
against  smaller  postsmolts. 

Fall  Movement  out  of  Coastal 
Reaches 

Postsmolts  gradually  left  the  nearshore  area  in 
late-September.  Fishermen  in  1982  started  col- 
lecting postsmolts  in  mid-August.  Their  bycatch 
declined  from  mid-September  and  was  low  in  Oc- 
tober. The  catch  declined  partly  because  most 
commercial  fishermen  were  asked  to  return  no 
more  than  20  salmon  each,  and  they  reached  this 
limit  early  (Table  7).  Fishing  was  initiated  later 
in  1983  and  took  place  over  a  shorter  period  (23 
September-11  October),  but  a  68^  decline  in  the 
catch  was  observed  between  the  period  29  Sep- 
tember-5  October  and  the  period  5-11  October. 
Finally  in  1984,  postsmolts  came  near  the  coast 
near  the  end  of  August  and  moved  out  in  mid- 
September  (Table  8)  so  that  no  salmon  were 
caught  in  the  period  20  September-20  October. 

This  movement  out  of  the  nearshore  zone  was 
associated  with  decreasing  near-surface  tempera- 
tures in  autumn.  Temperatures  measured  near 
the  surface  closely  followed  the  mean  air  temper- 
atures recorded  in  Sept-Iles  (Fig.  5).  Since  most 
postsmolts  travelled  near  the  surface,  mean  air 
temperatures  were  assumed  to  reflect  prevailing 
conditions  for  postsmolts.  In  1982,  postsmolts 
were  abundant  until  mean  air  temperatures  de- 
clined below  5°C,  i.e.,  in  early  October.  The  situa- 
tion was  similar  in  3  stations  out  of  4  in  1983, 


particularly  in  the  Bay  of  Matamek  River  near 
Sept-Iles  and  in  Riviere  Pentecote,  2  stations 
closer  to  our  monitoring  station.  In  1984,  this  de- 
cline in  mean  air  temperature  occurred  earlier 
(26  September),  but  surface  temperatures  were 
also  lower  than  air  temperatures,  and  the  catch 
declined  (Table  8)  as  soon  as  surface  tempera- 
tures fell  below  5°C  (mid-September.)  Hence,  low 
temperatures  were  associated  with  a  movement 
of  postsmolts  out  of  the  nearshore  zone.  However, 
the  reverse  is  not  true:  results  for  1983  and  1984 
suggest  that  postsmolts  do  not  necessarily  move 
towards  nearshore  zones  when  prevailing  tem- 
perature conditions  are  favorable. 

Variations  in  seasonal  abundance  are  masked 
by  a  general  decline  in  salmon  abundance  near 
shore  from  1982  to  1985.  Fishing  effort  could  not 
be  assessed  in  1982,  but  the  incidence  of 
postsmolts  in  coastal  herring  nets  in  1982  was 
such  that  it  can  reasonably  be  concluded  they 
were  more  abundant  than  in  1983,  1984,  or  1985. 
Relative  abundance  can  be  assessed  for  1983, 
1984,  and  1985.  Bale  Trinite  and  Port  Cartier 
stations  were  operated  in  1983  and  1984  using 
similar  nets  at  the  same  locations  each  year  and 
showed  that  postsmolts  were  more  abundant  in 
1983  than  in  1984  (Table  9).  Finally,  a  station 
was  monitored  near  Sept-Iles  in  1985  in  an  area 
where  the  best  catches  were  made  in  1982,  using 


Table  7. — Time  distribution  of  the  commercial 
bycatch  of  Atlantic  salmon  postsmolts  in  1982. 


Period 


Number 


10-31  August 
01-15  September 
16-30  September 
01-15  October 
16-31  October 


210 

118 

21 

24 

8 


Table  8. — Catch  of  Atlantic  salmon  postsmolts  by 
period  and  locality  in  1984. 


Locality 

Baie 

Port 

Period 

Trinite 

Cartier 

21-24  August 

1 

4 

24-27  August 

0 

0 

27-30  August 

0 

1 

30  August-02  September 

0 

14 

02-05  September 

4 

8 

05-08  September 

6 

9 

08-11  September 

0 

2 

11-14  September 

3 

16 

14-17  September 

0 

8 

17-20  September 

0 

0 

20  September-20  October 

0 

0 

205 


20 

15 

10 

5 

0 

-5 

20 

15 
10 

P     5 

uj     0 
cc 

< 

£    20 
Q. 

15 

10 

5 

0 

-5 

20 

15 

10 

5 

0 

-5 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


1982 


UJ 


Sept-lles 

air  temperature 


^       05     10      15     20    25     30    04     09    14      19     24    29    04     09     14     19     24    29 


1983 


Port  Cartier 
sea  temperature 


05     lb      i5    20     25    30    04    09     14     19     24    29    04     09     14     19     24    29 


1984 


Bale  Trinite 
sea  temperature 


05     io     i5     20     25    30    04    09     14      19     24    29    04    09     14     19     24    29 


1985 


Sept-lles 

sea  temperature 


I  r 


I  ~ 


05  10   15  20  25  30  04  09  14  19  24  29  04  09  14  19  24  29 


AUGUST 


SEPTEMBER 
DATE 


OCTOBER 


Figure  5. — Mean  daily  air  temperature  in  Sept-lles  (— -),  and  mean  daily  sea  temperature  at  0.5  m  ( — )  in  Port  Cartier 
(1983),  at  6  m  (---)  in  Baie  Trinite  (1984),  and  at  0.5  m  (---)  and  6  m  ( )  in  Sept-lles  (1985). 


206 


DUTIL  AND  COUTU:  EARLY  LIFE  OF  ATLANTIC  SALMON 


Table  9. — Relative  abundance  in  terms  of  catch  per  unit  of  eHort 
(CPUE)  at  2  stations  run  in  1983  and  1984  using  similar  nets  at  tfie 
same  sites. 


Baie  Trinite 

Port  Cartier 

Period 

Catch 

E 

CPUE 

Catch 

E 

CPUE 

1983 

23  Sept.- 11  Oct. 

54 

38.5 

1.4 

40 

20.0 

2.0 

1984 

21  Aug. -31  Aug. 

1 

20.5 

0.1 

5 

32.5 

0.2 

30  Aug. -17  Sept. 

15 

54.5 

0.3 

57 

73.0 

0.8 

17  Sept.-23  Sept. 

0 

22.0 

— 

0 

17.0 

— 

23  Sept.- 11  Oct. 

0 

55.5 

— 

0 

45.5 

— 

11  Oct.-18  Oct. 

0 

9.5 

— 

0 

21.0 

— 

'CPUE:  catch  of  1  net  in  24  hours. 


similar  nets  to  1983  and  1984.  The  catch  was 
nearly  nonexistent:  5  salmon  for  120  unit  effort 
( 1  unit  effort,  is  1  net  x  24  hours).  Thus,  based  on 
limited  observations,  numbers  of  salmon  near 
shore  in  summer  and  autumn  seem  to  be  highly 
variable  from  year  to  year. 

DISCUSSION 

Postsmolts  of  Atlantic  salmon  stay  much  longer 
near  our  coasts  than  is  usually  believed.  Though 
early  months  in  the  marine  environment  have 
been  shown  to  have  a  marked  influence  on 
salmon  runs  1  and  2  years  later  (e.g.,  Christensen 
and  Larsson  1979;  Scarnecchia  1983,  1984), 
postsmolt  biology  has  been  a  neglected  area  of 
investigation.  North  American  smolts  are  as- 
sumed to  migrate  rapidly  out  of  the  estuaries  of 
their  home  rivers,  to  feeding  areas  located  far  out 
in  the  North  Atlantic  east  of  the  Grand  Bank 
(Templeman  1968;  Reddin  1985)  and  north  to 
Labrador  and  Greenland  (Saunders  1966;  Tem- 
pleman 1967).  They  return  1  or  2  years  later  to 
spawn  in  home  rivers.  This  study,  and  early 
records,  indicate  that  some  postsmolts  remain  in 
coastal  areas  as  late  as  autumn  before  moving 
offshore.  This  was  clearly  suggested  by  Comeau 
(1909)  who  stated  that  0.5-1.5  lb  postsmolts  were 
regularly  taken  in  autumn  along  the  north  shore 
of  the  Gulf  of  St.  Lawrence.  Fishermen  inter- 
viewed in  1982  on  the  north  shore  of  the  Gulf  of 
St.  Lawrence,  from  Pointe-des-Monts  to  Blanc 
Sablon,  declared  incidental  catches  of  postsmolts, 
mainly  in  the  months  of  August  and  September. 
The  majority  declared  taking  postsmolts  each 
year.  Smolts  were  also  shown  to  linger  in  estuar- 
ies of  the  north  shore  of  the  Gulf  of  St.  Lawrence 
(this  study;  Power  and  Shooner  1966;  Randall  and 
Power  1979).  Huntsman  (1939)  mentioned  their 


occurrence  in  autumn  in  herring  nets  near  the 
mouth  of  Gaspe  Bay.  Fall  catches  also  occurred  in 
New  England  (Kendall  1935).  Recently,  smolts 
released  in  New  England  were  caught  as  post- 
smolts in  coastal  areas  of  Canada  (Meister  1984). 
There  are  stocks  in  the  Bay  of  Fundy  (as  the 
stocks  in  the  Baltic)  that  do  not  go  on  extensive 
migrations  in  the  North  Atlantic  (Huntsman 
1939;  Jessop  1976):  postsmolts  of  these  stocks  are 
regularly  taken  in  herring  nets  in  Passa- 
maquoddy  Bay  and  off  Grand  Manan  Island  (El- 
son  1953,  1964;  Allen  et  al.  1972).  Hence  the  pres- 
ence of  postsmolts  near  shore  in  autumn  (or  in 
summer  and  autumn)  is  a  characteristic  of  the 
marine  life  of  Atlantic  salmon  in  North  America. 
Timing  of  migration  has  been  described  for 
hatchery-reared  smolts  released  in  Sweden 
(Larsson  1974)  and  Finland  (Jutila  and  Alapassi 
1985).  Tags  were  returned  mostly  from  a  distance 
of  less  than  10  km  between  days  0  and  10,  20-50 
km  between  days  10  and  20,  and  50-100  km  2 
months  past  their  release,  in  the  brackish  waters 
of  the  Gulf  of  Bothnia  (Jutila  and  Alapassi  1985). 
Behavior  of  postsmolts  is  similar  to  that  of  1- 
and  2-sea-year  salmon.  Postsmolts  in  this  study 
occurred  mainly  near  the  surface  as  indicated  by 
their  distribution  in  the  nets.  LaBar  et  al.  (1978) 
concluded  that  smolts  migrated  near  the  surface 
in  the  Penobscot  estuary.  Templeman  (1967, 
1968)  also  found  salmon  to  occur  near  the  surface 
in  the  Northwest  Atlantic:  62%  occurred  in  the 
top  0.6  m  and  90%  in  the  top  1.5  m  in  July  and 
August  1965.  Similarly  in  1966,  most  salmon 
were  taken  in  the  top  1.5  m,  the  number  caught 
decreasing  sharply  below  0.6  m.  Similar  observa- 
tions were  made  on  Baltic  salmon  (Carlin  and 
Lundin  1967;  Christensen  1968).  There  is  less  in- 
formation available  on  schooling.  Postsmolts  did 
not  regularly  have  a  clustered  distribution  in 
nets,  but  considering  that  a  net  does  not  retain  all 
the  salmon  striking  it,  there  were  still  many  in- 
stances of  salmon  moving  in  schools.  Thurow 
(1968)  came  to  the  same  conclusion  for  older 
salmon  in  the  Baltic.  Templeman  (1967)  pre- 
sented limited  evidence  for  salmon  in  the  North- 
west Atlantic,  but  reached  negative  conclusions 
later  (Templeman  1968).  Finally  there  are  lim- 
ited data  in  the  literature  concerning  the  rhythm 
of  activity  of  salmon  in  the  marine  environment. 
Christensen  and  Lear  (1980)  showed  that  in  West 
Greenland  best  catches  occurred  early  in  the 
morning  (0600-0800),  decreased  sharply  between 
0800  and  1000,  and  were  low  between  1000  and 
1400.  The  nets  were  not  set  between  1400  and 


207 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


0600.  Catches  in  this  study  were  also  low  in  mid- 
day. Either  this  is  a  reflection  of  2  peaks  of  activ- 
ity, dawn  and  dusk,  as  is  common  in  salmonids  in 
freshwater,  or  this  is  possibly  due  to  salmon 
avoiding  the  nets  in  high  light  levels.  Thus 
postsmolts  and  1-  and  2-sea-year  salmon  appear 
to  have  a  similar  behavior  at  sea.  They  move  in 
small  schools  close  to  the  surface  and  are  possibly 
more  active  at  dusk  and  dawn. 

Food  items  in  the  stomachs  of  postsmolts 
changed  markedly  in  summer  and  indicated  a  low 
diversity  of  prey.  This  is  in  contrast  to  findings 
reported  for  salmon  in  the  Northwest  Atlantic. 
Grande  Trinite  River  postsmolts  had  fed  mostly 
on  chironomids  and  gammarids  in  late-July. 
Baltic  salmon  postsmolts  fed  mainly  on  aerial  in- 
sects though  small  fish  and  crustaceans  also  oc- 
curred in  the  stomachs  of  postsmolts  in  the  south- 
ern Baltic  (reviewed  by  Christensen  and  Larsson 
1979).  Jutila  and  Toivonen  (1985)  also  found 
aerial  insects  to  be  the  dominant  food  items  in  the 
stomachs  of  small  postsmolts  ( <20  cm)  in  the  Gulf 
of  Bothnia  (Baltic).  They  observed  that  post- 
smolts were  not  selective  and  must  have  fed  near 
the  surface  (20  cm  surface  layer).  Postsmolts  col- 
lected later  in  the  present  study  relied  mainly  on 
small  sand  lance.  Insects  and  gammarids  had 
been  replaced  by  vertically  migrating  crus- 
taceans such  as  Meganyctiphanes  noruegica 
(Kulka  et  al.  1982).  Thurow  (1968)  estimated  25 
cm  to  be  the  length  threshold  for  piscivorous  feed- 
ing by  Baltic  salmon.  In  the  present  study,  this 
size  was  likely  reached  in  the  first  half  of  August 
1982.  This  coincides  with  a  major  change  in  stom- 
ach contents  and  a  high  percentage  of  stomachs 
containing  no  food.  The  data  on  postsmolts  in 
July  are  too  limited  to  suggest  that  sand  lance 
abundance  could  limit  the  early  success  of 
postsmolts  at  sea,  but  potential  relationships  in 
late  summer  should  be  tested  as  was  done  for 
capelin  by  Reddin  and  Carscadden  (1981).  Data 
on  1-  and  2-sea-year  salmon  indicate  they  will 
readily  feed  on  a  diversity  of  prey  items,  main 
items  including  Arctic  squid,  Gonatus  fabricii; 
paralepids,  Paralepis  coregonoides ;  and  lantern 
fishes  (Lampenyctus  sp.,  Notoscopelus  sp.)  (Tem- 
pleman  1967,  1968;  Lear  1980).  Sand  lance  and 
capelin  are  dominant  items  in  West  Greenland 
and  on  the  coast  of  Newfoundland  (Lear  1972, 
1980),  and  on  the  Grand  Bank  (Reddin  1985). 
Reddin  ( 1985)  observed  major  changes  in  stomach 
contents  between  salmon  on  the  Grand  Bank 
(sand  lance  and  capelin)  and  east  of  the  Grand 
Bank   (Bathylagidae,   Paralepis   sp.,   and   crus- 


taceans), emphasizing  that  salmon  are  not  selec- 
tive predators. 

The  rate  of  increase  in  mean  length  averaged 
1.65  mm/day  in  the  Gulf  of  St.  Lawrence  over  the 
summer  period  in  1982  and  1983.  This  value  is 
based  on  the  hypothesis  that  smolts  migrated  to 
estuaries  in  mid-June.  Smolt  migration  took 
place  in  the  first  half  of  June  in  Restigouche  River 
in  the  southern  Gulf  of  St.  Lawrence  (Peppar 
1982)  and  in  the  second  half  of  June  in  Grande 
Trinite  River  in  the  northern  Gulf  of  St. 
Lawrence  (Caron  1984).  Downstream  migration 
of  smolts  peaked  at  various  dates  in  June  in  West- 
ern Arm  Brook  in  western  Newfoundland  (Chad- 
wick  1981).  The  calculated  rate  of  increase  is  also 
based  on  a  mean  back-calculated  smolt  length  of 
135  mm.  Length  at  smoltification  averaged  125- 
130  mm  in  Grande  Trinite  River  (mean  and  SD: 
127.5  ±  12.3,  n  =  88,  in  1981;  125.8  ±  10.9, 
n  =  92,  in  1982;  see  also  Caron  1984).  Matamek 
River  and  Moisie  River  smolts  measured  125-150 
mm  (Schiefer  1972).  They  measured  150  mm  in 
Little  Codroy  River  (Murray  1968)  and  174  mm  in 
Western  Arm  Brook  (Chadwick  1981).  There  are 
no  data  in  the  literature  concerning  the  rate  of 
increase  in  size  of  smolts  and  postsmolts  in  the 
marine  environment.  Postsmolts  in  the  Bay  of 
Fundy  reached  a  mean  length  of  296  mm  in  mid- 
August  1952  (Allen  et  al.  1972),  some  3  cm  more 
than  postsmolts  in  this  study:  265  mm  and 
306  mm  on  1  September  and  30  September.  How- 
ever the  high  value  of  the  power  exponent  of  the 
length-weight  relationship  as  compared  with 
salmon  in  Newfoundland  and  Labrador  (Lear 
1973)  indicates  postsmolts  were  not  in  poor  condi- 
tion. There  was  possibly  a  decline  in  the  rate  of 
increase  in  length  in  mid-summer  as  suggested 
by  the  large  proportion  of  scales  showing  a  sum- 
mer check  (false-annulus)  in  1983.  This  occurred 
10  circuli  from  the  smolt  check  in  mid-summer  in 
postsmolts  20-22  cm  in  length,  i.e.,  prior  to  this 
study  period,  and  may  have  been  produced  as  a 
response  to  a  shortage  of  prey  or  to  deteriorating 
environmental  conditions.  Elson  (1953)  also  no- 
ticed the  frequent  occurrence  of  a  slowing  of 
growth  6-10  circuli  out  from  the  last  parr  an- 
nulus.  The  percentage  of  occurrence  of  the  check 
varied  between  locations  (1982)  and  between 
years  (1982  <  1983  <  1984).  Therefore  it  is  not 
likely  to  be  a  response  to  a  change  in  postsmolt 
biology  such  as  a  scheduled  shift  in  prey  selection. 
However,  the  summer  check  can  be  thought  of  as 
a  potential  tool  for  stock  discrimination.  Some 
26-32  circuli  are  formed  before  the  first  sea  an- 


208 


DUTIL  AND  COUTU:  EARLY  LIFE  OF  ATLANTIC  SALMON 


nulus  is  formed  (Lear  and  Misra  1978)  at  a  length 
of  46-50  cm  in  the  first  half  of  April  (Munro 
1970). 

Presence  of  postsmolts  near  shore  in  late  sum- 
mer in  the  northern  Gulf  of  St.  Lawrence,  as  re- 
ported in  this  study,  and  presumably  their  late 
movement  out  of  the  Gulf  of  St.  Lawrence  indi- 
cate that  the  directional  nature  of  the  migration 
should  be  reconsidered.  There  are  some  smolts 
that  do  not  head  towards  the  high  seas  as  soon  as 
they  reach  the  estuaries.  They  seem  to  roam 
nearby  unless  prevailing  conditions  are  not  favor- 
able. Temperature  can  be  hypothesized  as  trig- 
gering the  late  movement  of  postsmolts  out  of  the 
northern  Gulf  of  St.  Lawrence.  Saunders  (1986) 
reviewed  the  thermal  biology  of  Atlantic  salmon 
and  suggested  the  thermal  range  for  salmon  in 
the  sea  is  lower  than  for  juvenile  salmon  in  fresh- 
water. Salmon  occur  mainly  at  temperatures 
ranging  from  4°  to  8°C  in  the  Northwest  Atlantic 
(Templeman  1968;  May  1973;  Reddin  1985).  Post- 
smolt  movements  out  of  the  nearshore  area  took 
place  in  a  short  period  as  temperature  was  de- 
creasing, between  mid-September  and  mid- 
October.  Postsmolts  were  more  abundant  in  1982 
and  1983  as  mean  air  temperature  ranged 
between  4°  and  10°C  in  early  autumn.  In  1984, 
sea  temperature  decreased  rapidly  from  more 
than  15°C  in  late-August  down  to  2°C  in  mid- 
September;  postsmolts  vanished  from  the  near- 
shore  area  as  temperature  declined  below  4°C. 
However  in  1985,  they  did  not  come  near  the  coast 
though  sea  temperature  ranged  between  8°  and 
12°C.  Saunders  et  al.  (1975)  reported  the  lethal 
temperature  of  salmon  in  seawater  to  be  -0.7°C. 
This  precludes  the  possibility  of  salmon  over- 
wintering in  the  Gulf  of  St.  Lawrence  unless  they 
return  to  freshwater,  as  do  some  salmon  in  the 
Koksoak  River  (Cote  et  al.  1984;  Robitaille  et  al. 
1984a,  b),  or  move  down  to  midwater,  a  behavior 
described  for  salmon  in  the  Baltic  in  response  to 
high  temperatures  (>12°C)  at  the  surface  (Aim 
1958).  Comeau  (1909)  reported  postsmolts  found 
in  the  stomach  of  seals  off  Pointe-des-Monts  in 
January  and  February.  Low  sea  temperature  has 
been  hypothesized  as  limiting  the  passage  of  Kok- 
soak River  smolts  (Ungava  Bay)  to  West  Green- 
land in  some  years,  thereby  resulting  in  an  estu- 
arine  population  (Power  1969,  1981).  This 
situation  might  also  be  hypothesized  to  occur  in 
the  Gulf  of  St.  Lawrence.  For  instance  in  1983, 
mean  air  temperature,  not  to  mention  minimal 
temperature,  decreased  from  4°  to  0°C  and  less  in 
a  short  period  near  the  end  of  October.  Masses  of 


seawater  carried  by  gyres  east  and  west  of  Anti- 
costi  Island,  and  presenting  momentarily  favor- 
able conditions,  can  get  surrounded  by  masses  of 
seawater  at  lower  temperature.  Should  salmon 
rely  on  temperature  as  a  cue  for  their  movement 
out  of  the  Gulf  of  St.  Lawrence,  then  late  mi- 
grants could  not  escape  as  conditions  deteriorate. 

The  origin  of  postsmolts  collected  in  this  study 
is  not  known.  They  may  be  a  particular  subgroup 
of  some  north  shore  stocks.  Postsmolts  in  this 
study  smoltified  earlier  and  at  a  smaller  size  than 
stocks  in  northern  Newfoundland  (Chadwick 
1981).  However,  their  origin  cannot  be  deter- 
mined based  on  smolt  length  or  smolt  age  distri- 
butions. For  instance,  there  is  a  general  tendency 
for  increasing  smolt  age  with  latitude,  but  there 
is  much  variability  in  the  data  at  latitudes  below 
52°.  Data  for  salmon  stocks  in  rivers  near  50° 
latitude  range  from  3  to  4  years  (Power  1981). 
Furthermore,  postsmolts  in  this  study  had  an  age 
distribution  similar  to  that  of  salmon  in  the  Port- 
aux-Basques  (Newfoundland)  drift  net  fishery. 
Port-aux-Basques  salmon  migrated  to  rivers  all 
around  the  Gulf  of  St.  Lawrence  (Belding  and 
Prefontaine  1938). 

Postsmolts  in  this  study  may  also  be  from  a 
particular  subgroup  of  individuals,  such  as  late- 
migrant  smolts.  Power  and  Shooner  (1966)  and 
Randall  and  Power  (1979)  observed  remnants  of 
the  smolt  migration  feeding  in  river  estuaries  on 
the  north  shore  of  the  Gulf  of  St.  Lawrence  in  July 
and  August.  Furthermore  coho  salmon  released 
in  mid-  to  late-summer  did  not  leave  the  general 
area  of  release  (Mahnken  and  Joyner  1973). 

Since  grilse  are  known  not  to  migrate  as  far  as 
2-  and  3-sea-year  salmon  in  the  Northwest  At- 
lantic (Ruggles  and  Ritter  1980),  postsmolts  in 
this  study  can  be  thought  of  as  potential  grilse. 
However,  the  only  indication  in  that  direction 
that  we  have  is  the  observation  that  some  males 
having  a  summer  check  on  their  scales  in  1982 
had  a  higher  gonadosomatic  index  than  males 
having  no  summer  check  on  their  scales  (0.042 
and  0.025%  respectively).  However,  this  is  based 
on  a  small  number  of  postsmolts  as  few  salmon 
exhibited  a  summer  check  in  1982  and,  unfortu- 
nately, no  gonads  were  preserved  in  1983-85. 
There  are  some  stocks  maturing  mainly  as  grilse 
among  the  north  shore  stocks,  but  grilse  are 
nearly  exclusively  males  in  these  stocks  (Schiefer 
1972;  Caron  1984).  Postsmolts  in  this  study  were 
62%  females.  Female  grilse  are  common  in  New- 
foundland (Chadwick  1981;  Power  1981).  There 
are  no  published  data  on  Anticosti  stocks.  Poten- 


209 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


tial  grilse  have  been  reported  from  the  Grand 
Bank  in  offshore  fisheries  in  the  Northwest  At- 
lantic (Reddin  1985),  and  it  has  been  suggested 
that  stocks  maturing  as  grilse  in  the  Bay  of 
Fundy  may  not  leave  the  general  area  throughout 
their  entire  marine  life  (Jessop  1976). 

Knowledge  on  the  marine  biology  of  Atlantic 
salmon  postsmolts  has  been  a  neglected  area  of 
research.  Their  continual  presence  in  sea  surface 
waters  could  prove  to  be  extremely  valuable  in 
forecasting  salmon  movements  and  production 
(Chadwick  1982;  Scarnecchia  1984).  Potential 
studies  include  mortality  rates  in  the  period  of 
transition  (July)  and  the  relationship  between 
low  temperatures  (3°-4°C)  and  postsmolt  migra- 
tion out  of  the  Gulf  of  St.  Lawrence.  Biological 
data  in  general  are  needed  to  be  included  in  mod- 
els forecasting  salmon  runs  in  the  North  Atlantic. 


ACKNOWLEDGMENTS 

The  authors  wish  to  thank  Fisheries  and 
Oceans  personnel,  including  many  summer  stu- 
dents, having  assisted  in  field  work  on  the  North 
Shore,  particularly  S.  Cloutier,  M.  Fortin,  M. 
Laverdiere,  Y.  Lavergne,  B.  Legare,  B.  Mercille, 
M.  Michaud,  M.  Poirier,  and  others.  J.  Boulva 
believed  in  the  need  to  study  postsmolt  biology 
and  actively  supported  this  study.  G.  Shooner, 
G.  Morin,  and  team  assisted  in  scale  reading  and 
in  examining  preserved  postsmolts  in  1982  and 
1983.  J.  R.  Robitaille  assisted  in  scale  data  analy- 
sis. Fishermen  between  Pointe-des-Monts  and 
Blanc  Sablon  kindly  discussed  the  incidence  of 
postsmolts  in  their  nets  and  participated  in  sam- 
pling in  1982  and  1983.  P.  Bertrand  of  the  Minis- 
tere  du  Loisir  de  la  chasse  et  de  la  Peche  (Quebec) 
shared  his  knowledge  of  the  bycatch  in  herring 
nets.  Many  thanks  also  to  the  population  of  Bale 
Trinite.  E.  M.  P.  Chadwick,  G.  Power,  and 
R.  L.  Saunders  kindly  reviewed  an  earlier  version 
of  the  manuscript. 


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Alm,  G 

1958.     Seasonal  fluctuations  in  the  catches  of  salmon  in 
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Anonymous 

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SCHIEFER,  K 

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FISHERY  BULLETIN:  VOL.  86,  NO.  2 

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212 


SIZE  AND  DIET  OF  JUVENILE  PACIFIC  SALMON 
DURING  SEAWARD  MIGRATION  THROUGH  A  SMALL  ESTUARY 

IN  SOUTHEASTERN  ALASKA 

Michael  L.  Murphy,  John  F.  Thedinga,  and  K  V.  Koski' 

ABSTRACT 

To  assess  competition  and  predation  among  juvenile  Pacific  salmon  iOncorhynchus  spp.)  migrating 
through  the  estuary  of  Porcupine  Creek,  a  small  stream  in  southeastern  Alaska,  their  size  and  diet 
were  determined  in  1979  and  1981.  Mean  fork  length  (FL)  during  May  and  June  increased  from  32 
to  73  mm  (1.5  mm/day)  for  pink  salmon,  O.  gorbuscha;  from  39  to  51  mm  (0.4  mm/day)  for  chum 
salmon,  O.  keta;  and  during  June  and  July,  from  99  to  165  mm  (1.6  mm/day)  for  coho  salmon,  O. 
kisutch.  Prey,  in  order  of  importance,  included  larval  fish  (mostly  Gadidae),  larval  molluscs  (Mesogas- 
trofKxla),  and  calanoid  copepods  for  pink  salmon;  larval  molluscs,  larvaceans,  and  hyperiid  amphipods 
for  chum  salmon;  and  fish  (Clupea  harengus  pallasi,  Ammodytes  hexapterus,  and  Gadidae),  insects, 
and  larval  decapods  (Brachyrhyncha)  for  coho  salmon.  No  pink  or  chum  salmon  were  found  in  the  coho 
salmon  stomachs.  Prey  size  for  pink  and  chum  salmon  was  similar  (median,  0.4  mm  long  for  both 
species),  and  much  smaller  than  that  of  coho  salmon  (median,  2.3  mm).  Diet  overlap  was  greater 
between  pink  and  chum  salmon  than  between  either  species  and  coho  salmon.  Pink  salmon,  however, 
ate  almost  exclusively  (95%)  pelagic  prey,  whereas  chum  salmon  ate  both  pelagic  (74%)  and  epiben- 
thic  (26%)  prey.  Rapid  ecirly  growth  and  differences  in  diet  probably  help  minimize  predation  and 
competition  among  salmon  during  seaward  migration. 


The  early  marine  life  stage  of  juvenile  Pacific 
salmon  iOncorhynchus  spp.),  during  transition 
from  freshwater  to  seawater,  is  important  in  de- 
termining brood-year  survival  and  subsequent 
adult  returns  (Manzer  and  Shepard  1962;  Parker 
1968);  their  survival  rate  is  lowest  during  this 
time  (Parker  1968;  Bax  1983).  Salmon  often 
school  in  large  concentrations  in  estuaries  as  they 
migrate  seaward,  and  are  more  likely  to  deplete 
food  supplies  and  compete  for  food  than  after  they 
disperse  to  the  sea  (Bailey  et  al.  1975;  Feller  and 
Kaczynski  1975).  Survival  depends  on  size 
(Parker  1971;  Healey  1982),  and  competition  for 
food  can  depress  early  growth  (Peterman  1984) 
and  prolong  vulnerability  to  predators  (Taylor 
1977;  Walters  et  al.  1978).  Size  and  diet  of  juve- 
nile salmon  in  an  estuary,  therefore,  determine 
the  potential  for  predation  and  competition  and 
can  greatly  affect  survival. 

As  salmon  aquaculture  expands  and  more  juve- 
nile salmon  are  released  into  estuaries,  competi- 
tion and  predation  among  salmon  may  increase 
(Johnson  1974).  To  optimize  hatchery  production 
and  avoid  adversely  affecting  wild  stocks,  an 


1  Northwest  and  Alaska  Fisheries  Center  Auke  Bay  Labora- 
tory, National  Marine  Fisheries  Service,  NOAA,  P.O.  Box 
210155,  Auke  Bay,  AK  99821. 


Manuscript  accepted  November  1987. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


understanding  is  needed  of  how  different  stocks  of 
salmon  interact  in  estuaries.  This  paper  compares 
size  and  diet  of  juvenile  pink,  O.  gorbuscha; 
chum,  O.  keta;  and  coho,  O.  kisutch,  salmon 
to  assess  potential  predation  and  competition 
between  the  species  during  their  seaward  mi- 
gration through  the  estuary  of  a  small,  pristine 
stream. 

STUDY  AREA 

This  study  was  conducted  in  the  estuary  of  Por- 
cupine Creek,  the  only  salmon  stream  flowing 
into  Steamer  Bay  in  southeastern  Alaska  (Fig.  1). 
The  estuary  (about  5.5  km  long)  consists  of  a  1.5 
km  stream  reach  that  is  periodically  inundated 
by  tides,  and  a  4  km  series  of  three  estuarine 
basins.  At  low  tide,  the  inner  and  middle  basins 
are  small  (2  and  7  ha,  respectively)  and  shallow 
(14  and  16  m,  respectively)  compared  with  the 
outer  basin  (120  ha  and  42  m  deep).  The  littoral 
zone  ranges  from  low-gradient  mudflats  to  steep 
cobble.  Bottoms  of  the  basins  are  level  and  com- 
posed of  shell,  gravel,  and  mud. 

During  low  tide,  the  inner  and  middle  basins 
are  partially  isolated  from  the  outer  basin  and  the 
main  part  of  Steamer  Bay  by  tidal  rapids  1-3  m 
deep.  Salinity  is  lower  in  the  inner  and  middle 

213 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Figure  1. — Aerial  photo  of  study  site  in  the  inner  part  of  Steamer  Bay,  southeastern  Alaska, 
showing  the  Porcupine  Creek  estuary  at  low  tide  and  location  of  smolt  traps  used  by  Thedinga 

(1985). 


basins  (24-29%c)  than  in  the  outer  basin  (28- 
30%c),  but  temperature  does  not  differ  between 
basins  in  spring  and  summer  (11°-13°C  from  May 
to  September  1981).  Heavy  tidal  flushing,  partic- 
ularly during  spring  tides,  results  in  a  diverse 
community  within  the  estuary;  e.g.,  eel  grass, 


Zostera;  Dungeness  crabs,  Cancer  magister;  bull 
kelp,  Nereocystis;  and  rock  scallop,  Hinnetes.  A 
detailed  description  of  the  study  area  is  in  Merrell 
and  Koski  (1978)  and  Koski  (1984). 

Porcupine  Creek,  upstream  of  tidal  influence,  is 
4.5  km  long  and  has  an  average  discharge  of 


214 


MURPHY  ET  AL.:  SIZE  AND  DIET  OF  JUVENILE  PACIFIC  SALMON 


about  0.5  m"^/second.  Its  watershed  is  forested  by 
mature  western  hemlock,  Tsuga  heterophylla , 
and  Sitka  spruce,  Picea  sitchensis.  Annually, 
5,000-75,000  adult  pink  salmon  and  200-4,000 
chum  salmon  spawn  in  the  creek  from  late  July  to 
October,  and  250-600  adult  coho  salmon  spawn 
from  late  September  to  November  (Koski  1984). 
Pink  and  chum  salmon  fry  typically  migrate  from 
Porcupine  Creek  from  late  March  to  mid-May 
(Koski^).  Coho  salmon  smolts  migrate  from  late 
April  to  early  June,  but  over  90%  usually  migrate 
in  late  May  (Thedinga  1985). 

METHODS 

Six  stations,  one  each  on  the  east  and  west  sides 
of  the  three  basins  (Fig.  1)  were  sampled  by  a 
beach  seine  37  m  long,  with  1.6  cm  stretch  mesh 
on  the  wings,  and  a  central  bag  of  6  mm  stretch 
mesh.  The  seine  tapered  from  2  m  deep  at  the 
central  bag  to  1  m  deep  at  each  end.  In  1979,  only 
one  station  in  each  basin  was  seined  about  every 
4  days  from  16  May  to  12  June.  In  1981,  all  six 
stations  were  seined  biweekly  from  26  May  to 
7  July  and  monthly  thereafter  through  11 
November.  Seines  were  set  parallel  to  and  about 
40  m  from  shore  by  a  skiff,  and  retrieved  from 
shore.  Setting  and  retrieval  were  accomplished 
within  10  minutes. 

All  fish  caught  were  identified  and  counted. 
Fork  lengths  (FL)  were  measured  to  the  nearest 
millimeter  from  a  random  sample  of  <25  salmon 
per  species,  station,  and  sampling  period.  Stom- 
ach contents  were  collected  only  in  1981  from  <10 
salmon  per  species  and  station  in  May,  June,  and 
July.  Contents  were  collected  from  anesthetized 
fish  by  flushing  the  stomach  with  water  from  a 
syringe  (Meehan  and  Miller  1978;  Koski  and 
Kirchhofer  1984)  and  preserved  in  5%  formalde- 
hyde. Prey  were  later  identified,  counted,  mea- 
sured, and  weighed. 

For  diet  analysis,  the  index  of  relative  impor- 
tance (IRI)  was  calculated,  where 

IRI  =  {%  number  +  %  weight)  (%  frequency  of 
occurrence) 

(Pinkas  et  al.  1971).  Diet  overlap  between  salmon 
species  was  calculated  (McCabe  et  al.  1983): 


2  2  X'Y, 


C  = 


1  =  1 


2xf  .  J^Yf 


1=1 


1  =  1 


2K  V.  Koski,  Northwest  and  Alaska  Fisheries  Center  Auke 
Bay  Laboratory,  National  Marine  Fisheries  Service,  NOAA, 
P.O.  Box  210155,  Auke  Bay,  AK  99821,  pers.  commun.  October 
1985. 


where  C  =  overlap  coefficient  and  X,  and  Y,  are 
proportions  of  the  total  diet  of  salmon  species  X 
and  Y,  respectively,  contributed  by  prey  taxon  i  of 
s  prey  taxa.  Diet  overlap  was  calculated  sepa- 
rately for  proportions  based  on  prey  number  and 
weight.  Prey  were  also  classified  as  epibenthic  or 
pelagic  to  assess  overlap  in  foraging  mode  (Feller 
and  Kaczynski  1975).  Epibenthic  prey  were  poly- 
chaetes,  gammarid  amphipods,  harpacticoid  cope- 
pods,  barnacle  cyprids,  and  cumaceans.  Pelagic 
prey  were  calanoid  copepods,  euphausiids,  barna- 
cle nauplii,  cladocerans,  larvaceans,  larval  deca- 
pods (Brachyrhyncha),  hyperiid  amphipods,  and 
fish  (eggs,  larvae,  and  juveniles). 

RESULTS 

Size 

In  May  1979,  pink  salmon  were  the  size  of 
newly  emergent  fry,  about  32  mm  FL  (Fig.  2). 
Average  length  increased  1.5  mm/day,  to  73  mm 
on  12  June  1979.  In  1981,  pink  salmon  averaged 
73  mm  FL  in  late  May  and  early  June.  Changes 
in  average  FL  in  1981  could  not  be  calculated 
because  most  migration  occurred  before  sampling 
began. 

Average  FL  of  chum  salmon  increased  slower 
than  that  of  pink  salmon.  Mean  FL  of  chum 
salmon  increased  0.4  mm/day  in  both  years,  from 
39  mm  to  51  mm  in  1979,  and  from  60  mm  to  78 
mm  in  1981  (Fig.  2).  Chum  salmon  averaged 
about  10  mm  FL  longer  in  1981  than  in  the  same 
period  in  1979.  Chum  salmon  were  not  found  in 
the  estuary  after  early  July,  except  for  two  fry 
caught  in  the  outer  basin  in  November. 

Average  FL  of  coho  salmon  was  nearly  con- 
stant, between  85  and  110  mm,  throughout  May 
and  early  June  in  both  1979  and  1981  (Fig.  2). 
Average  FL  of  coho  salmon  in  the  estuary  during 
this  period  was  influenced  by  an  influx  of  Porcu- 
pine Creek  migrants,  which  averaged  between  75 
and  96  mm  FL  (Thedinga  1985).  After  the  migra- 
tion from  Porcupine  Creek  in  1981  (=9  June), 
average  FL  increased  1.6  mm/day  to  165  mm  by 
20  July.  Average  FL  then  decreased  to  85  mm  in 


215 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


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/ 


"n 1 1 1 1 r 

15  MAY   1  JUN   15  JUN    1  JUL   15  JUL    1  AUG 

Figure  2.— Length  of  salmon  in  1979  and  1981.  Data  shown  are 
means  and  ranges  for  pooled  samples  from  all  stations  on  each 
sampling  date.  Data  for  pink  salmon  in  1981  are  omitted  be- 
cause of  small  sample  sizes.     (▲  =  1979,  •  =  1981.) 


August  and  106  mm  in  September,  after  most 
smelts  had  left  and  a  few  new  smelts  entered  the 
estuary. 

Diet 

A  wide  variety  ef  prey  was  eaten  by  the  three 
salmon  species,  but  usually  only  one  or  two  prey 
taxa  dominated  the  diet  (Table  1).  Pink  salmon 
ate  mostly  larval  molluscs  (Mesogastropoda)  and 
larval  fish  (mostly  Gadidae)  in  May,  and  calanoid 
copepods  in  June.  Chum  salmon  ate  mostly  larval 
molluscs  in  May;  larval  molluscs,  larvaceans,  and 
cladocerans  in  June;  and  hyperiid  amphipods  and 
larval  decapods  in  July.  Coho  salmon  ate  mostly 
fish  and  insects  in  May  and  June,  and  fish  and 
larval  decapods  in  July.  The  identifiable  fish  prey 
of  coho  salmon  consisted  of  53%  Pacific  herring, 
Clupea  harengus  pallasi;  45%  cod  (Gadidae);  and 


2%  Pacific  sand  lance,  Ammodytes  hexapterus.  No 
identifiable  pink  or  chum  salmon  were  in  the  coho 
stomachs.  Catch  of  coho,  but  not  that  of  the  other 
salmon,  was  significantly  correlated  (r  =  0.46, 
P  <  0.001)  with  aggregate  catch  of  herring,  sand 
lance,  and  cod,  indicating  that  coho  salmon  con- 
gregated near  prey  schools. 

Diet  overlap  was  higher  between  pink  and 
chum  salmon  than  between  either  species  and 
coho  salmon  (Table  2).  Diet  overlap  between  pink 
and  chum  salmon  was  especially  high  in  May 
when  both  species  ate  large  numbers  of  larval 
molluscs.  If  based  on  prey  weight,  diet  overlap 
between  pink  and  coho  salmon  was  negligible.  If 
based  on  prey  number,  however,  overlap  was 
>50%  in  June  when  both  pink  and  coho  salmon 
ate  large  numbers  of  calanoid  copepods.  Diet 
overlap  between  chum  and  coho  salmon  was  con- 
sistently low,  especially  when  based  on  prey 
weight. 

Of  the  12  most  important  prey  taxa  in  May  and 
June,  when  all  3  salmon  species  were  present  in 
the  estuary,  only  4  differed  significantly 
iP  <  0.05)  in  mean  number  per  stomach  between 
pink  and  chum  salmon,  whereas  9-10  differed 
significantly  between  the  two  species  and  coho 
salmon  (Table  3).  Compared  with  pink  salmon, 
chum  salmon  ate  more  harpacticoid  copepods, 
cladocerans,  and  insects.  Coho  salmon  ate  fewer 
small  plankton  and  more  fish  than  did  the  other 
salmon  species.  Coho  salmon  averaged  fewer  than 
20  total  prey  items,  compared  to  more  than  100  in 
pink  salmon  and  200  in  chum  salmon. 

Coho  salmon  ate  larger  prey  than  did  the  other 
salmon  (Fig.  3).  Median  prey  length  for  coho 
salmon  was  2.3  mm,  compared  with  0.4  mm  for 
pink  and  chum  salmon.  Coho  salmon  generally 
selected  larger  individuals  of  each  prey  taxon — 
particularly  larger  calanoid  copepods,  gammarid 
amphipods,  euphausiids,  and  larval  decapods — 
than  did  pink  and  chum  salmon  (Table  4).  Offish 
prey,  coho  salmon  ate  mostly  juveniles,  whereas 
pink  and  chum  salmon  ate  mostly  eggs  and  lar- 
vae. 

As  they  grew  larger,  all  three  salmon  species 
selected  larger  prey.  Numbers  of  hyperiid  am- 
phipods, euphausiids,  and  fish  larvae — all  rela- 
tively large  prey — were  positively  correlated 
with  FL  of  pink  or  chum  salmon,  whereas  num- 
bers of  cladocerans  and  larvaceans — both  rela- 
tively small  prey — were  negatively  correlated 
with  chum  salmon  FL  (Table  5).  Numbers  of 
calanoid  copepods  and  fish  were  positively  corre- 
lated with  coho  salmon  FL,  whereas  the  number 


216 


MURPHY  ET  AL.:  SIZE  AND  DIET  OF  JUVENILE  PACIFIC  SALMON 

Table  1 . — Stomach  contents  of  juvenile  salmon  in  Porcupine  Creek  estuary,  26  May-7  July  1981 .  %A/  is  percent  by 
number,  %W  is  percent  by  wet  weight,  %F0  is  percent  frequency  of  occurrence  of  fish  with  prey  item  /,  and  %IRI  is 
percent  of  total  sum  of  IRI  for  all  prey  taxa.  IRI  =  (%/V  +  %W)%fO.  Taxa  are  omitted  if  %IRI  is  s3  for  all  salmon 
species. 


Pink  salmon 

Chum  salmon 

Coho  salmon 

Prey  taxon 

%N 

%W 

%F0 

%IRI 

%/V 

%W 

%F0 

%IRI 

%/V 

%W 

%F0 

%IRI 

26-29  May  1981 

Mollusc  larvae 

47 

2 

71 

28 

59 

36 

100 

60 

2 

0 

4 

0 

Calanoida 

12 

2 

57 

7 

5 

4 

71 

5 

0 

0 

4 

0 

Harpacticoida 

1 

0 

29 

0 

11 

9 

90 

12 

17 

1 

18 

3 

Cladocera 

1 

0 

43 

1 

14 

5 

77 

10 

0 

0 

4 

0 

Cumacea 

0 

0 

0 

0 

2 

9 

32 

3 

16 

1 

41 

6 

Euphausiacea 

11 

2 

71 

8 

0 

2 

42 

1 

0 

0 

0 

0 

Decapod  larvae 

Shhmp 

9 

5 

71 

8 

0 

1 

13 

0 

0 

0 

0 

0 

Crabs 

8 

2 

60 

4 

3 

3 

60 

2 

2 

0 

12 

0 

Fish  eggs 

and  larvae 

8 

86 

57 

44 

0 

21 

13 

2 

1 

6 

4 

0 

Fish 

0 

0 

0 

0 

0 

0 

0 

0 

22 

62 

48 

38 

Insects! 

1 

0 

29 

0 

1 

5 

52 

2 

29 

23 

100 

47 

Total 

98 

99 

100 

95 

95 

97 

89 

93 

94 

(Number  of  stomachs) 

(7) 

(31) 

(27) 

9-10  June  1981 

Mollusc  larvae 

9 

5 

100 

8 

24 

16 

73 

23 

0 

0 

7 

0 

Calanoida 

47 

52 

100 

58 

5 

5 

65 

5 

22 

0 

43 

9 

Harpacticoida 

3 

5 

25 

1 

4 

4 

65 

4 

0 

0 

7 

0 

Cladocera 

13 

7 

75 

9 

19 

8 

81 

17 

1 

0 

23 

0 

Decapod  larvae 

Shhmp 

1 

1 

75 

1 

0 

1 

20 

0 

0 

0 

0 

0 

Crabs 

4 

11 

100 

5 

7 

12 

100 

8 

19 

0 

21 

4 

Larvacea, 

Oikopleura 

9 

5 

100 

8 

20 

13 

85 

23 

7 

0 

14 

1 

Fish  eggs 

and  larvae 

6 

5 

100 

6 

11 

12 

35 

6 

0 

0 

0 

0 

Fish  juveniles 

0 

0 

0 

0 

0 

0 

0 

0 

10 

94 

71 

70 

Insects^ 

0 

1 

50 

0 

3 

10 

75 

8 

28 

2 

50 

14 

Total 

92 

92 

96 

93 

91 

94 

87 

96 

98 

(Number  of  stomachs) 

(4) 

(26) 

(14) 

7  July  1981 

Calanoida 

— 

— 

— 

— 

4 

1 

43 

3 

16 

0 

24 

5 

Hypehidea 

— 

— 

— 

— 

12 

30 

88 

45 

4 

0 

29 

2 

Decapod  larvae 

Shrimp 

— 

— 

— 

— 

61 

40 

14 

18 

1 

0 

6 

0 

Crabs 

— 

— 

— 

— 

3 

10 

86 

9 

55 

5 

53 

25 

Fish  eggs 

and  larvae 

— 

— 

— 

— 

0 

3 

57 

2 

0 

0 

0 

0 

Fish  juveniles 

— 

— 

— 

— 

0 

0 

0 

0 

9 

94 

50 

65 

Insects^ 

— 

— 

— 

— 

6 

4 

100 

14 

5 

0 

24 

2 

Total 

— 

— 

— 

— 

86 

88 

91 

90 

99 

99 

(Number  of  stomachs) 

(0) 

(7) 

(17) 

1  Mostly  adult  Diptera. 


of  insects  was  negatively  correlated.  As  a  conse- 
quence of  the  selection  of  larger  prey  as  the 
salmon  grew,  total  prey  weight  increased  with 
salmon  FL,  whereas  total  prey  number  did  not 
(Table  5).  Although  pink  and  chum  salmon  ate 
prey  of  similar  size,  they  foraged  differently  (Fig. 
4).  Pink  salmon  consumed  about  95%  pelagic 
prey;  chum  salmon,  only  74%.  Individual  taxa 
changed,  but  the  importance  of  pelagic  prey  did 
not  change  significantly  between  sampling  peri- 
ods, estuary  basins,  or  salmon  FL  classes. 


Diet  of  coho  salmon,  on  the  other  hand,  varied 
widely  depending  on  salmon  FL,  date,  and  loca- 
tion (Fig.  4).  Pelagic  prey  increased  from  1%  of 
total  prey  for  coho  salmon  <80  mm  FL  to  80%  for 
those  >100  mm  FL.  Coho  salmon  ate  fewer 
pelagic  prey  in  May,  when  most  coho  were  in  the 
inner  basin  and  feeding  mainly  on  insects,  than 
in  July  when  most  were  in  the  outer  basin  and 
feeding  mainly  on  fish  (Table  1).  Analysis  of  vari- 
ance, however,  showed  that  differences  between 
basins  and  sampling  periods  were  not  significant 


217 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Table  2. — Diet  overlap  (McCabe  et  al.  1983)  based  on  number  (n) 
and  weight  (W)  of  prey  by  sampling  period  for  juvenile  salmon  in 
Porcupine  Creek  estuary,  26  May-7  July  1981.  The  number  of 
stomach  samples  is  in  Table  1 . 


Sampling 
period 

Pink  vs 
n 

chum 
W 

Pink  vs 
n 

coho 
W 

Chum  vs.  coho 
n           W 

26-29  (vlay 
9-10  June 
7  July 

0.87 
0.47 

0.40 
0.38 

0.07 
0.54 

0.09 
0.00 

0.13       0.08 
0.29       0.00 
0.10       0.01 

Table  3. — Comparison  of  mean  number  of  the  12  most  important 
prey  and  total  of  all  prey  per  salmon  stomach  from  Porcupine  Creek 
estuary,  26  N^ay- 1 0  June  1 98 1 .  Means  followed  by  the  same  letter 
are  not  significantly  different  (Kruskal-Wallis  analysis  of  variance, 
P>0.05)  compared  within  a  row  and  across  columns.  The  number 
of  stomach  samples  is  in  Table  1 . 


Prey  item 


Pink  salmon      Chum  salmon      Coho  salmon 


Mollusc  larvae 

28  a 

Barnacle  larvae 

4a 

Calanoida 

40  a 

Harpacticoida 

2a 

Cladocera 

10a 

Cumacea 

Oa 

Euphausiacea 

5a 

Decapod  larvae 

11  a 

Larvacea 

6a 

Fish  eggs  and 

larvae 

3a 

Fish 

0  a 

Insects 

Oa 

86  a 

5a 

12  b 

19  b 

37  b 

5a 

1  a 

12a 

20  a 

11  a 

Oa 

4b 

Total 


115a 


216  a 


0  b 
4  b 
6  b 

19  b 


Table  4. — Mean  length  (mm)  of  prey  items  in  salmon  stom- 
achs from  Porcupine  Creek  estuary,  26  May-7  July  1981. 
Mean  prey  length  within  prey  taxa  was  significantly  greater 
for  coho  salmon  than  for  pink  or  chum  salmon  (sign  test, 
n  =  12  means,  P=0.03  and  P =0.003,  for  coho  salmon  vs. 
pink  and  chum  salmon,  respectively).  The  number  of  stom- 
ach samples  is  in  Table  1 . 


Pink 

Chum 

Coho 

Prey  item 

salmon 

salmon 

salmon 

Mollusc  larvae 

0.5 

0.5 

0.4 

Barnacle  larvae 

0.4 

0.7 

0.4 

Calanoida 

1.2 

1.2 

4.8 

Harpacticoida 

1.3 

1.1 

1.3 

Cladocera 

0.6 

0.6 

0.7 

Cumacea 

2.4 

2.5 

2.8 

Hyperiidea 

3.3 

2.4 

3.0 

Gammaridea 

1.5 

1.8 

5.2 

Euphausiacea 

3.5 

3.0 

18.0 

Decapod  larvae 

2.8 

2.0 

3.5 

Larvacea 

0.8 

0.9 

1 

Fish,  all  life 

stages 

2.0 

1.2 

23.9 

Insects 

2.8 

2.2 

3.5 

T — I — I — I — I       I       I      "1 — I — *T — I — T — I — I — r 
0.5       2.5       4.5       6.5       8.5     10.5    12.5        >1 4 
Prey  Length  (Interval  Midpoint, mm) 

Figure  3. — Relative  frequencies  of  length  of  prey  eaten  by  pink, 
chum,  and  coho  salmon  in  the  Porcupine  Creek  estuary  in  1981. 
Total  prey  measured  were  687  in  11  pink,  5,634  in  63  chum,  and 
1,179  in  53  coho  salmon. 


Table  5. — Spearman  rank  correlations  between  number  of  prey 
items  and  fork  length  of  juvenile  salmon.  Because  of  the  large 
number  of  correlations  tested,  significance  levels  were  adjusted  by 
multiplying  the  probability  P  by  the  number  of  tests  for  each  salmon 
species.  The  number  of  stomach  samples  is  in  Table  1 . 


Prey  item 


Pink  salmon      Chum  salmon      Coho  salmon 


Mollusc  larvae 

-0.32 

Barnacle  larvae 

-0.36 

Calanoida 

-0.51 

Harpacticoida 

-0.30 

Cladocera 

-0.06 

Cumacea 

-0.20 

Hyperiidea 

-0.35 

Euphausiacea 

0.84 

Decapod  larvae 

0.43 

Larvacea 

-0.36 

Fish  eggs 

-0.33 

Fish  larvae 

and  juveniles 

0.86 

Insects 

0.61 

Total  prey 

number 

-0.40 

Total  prey 

weight 

0.85 

0.05 
-0.02 

0.10 
-0.03 
-0.34* 

0.04 
-0.37- 

0.36* 
-0.19 
-0.50* 
-0.18 

-0.04 
-0.11 

-0.04 

0.35* 


0.18 

0.22 

0.33* 

0.19 

0.04 

0.28 

0.19 

0.15 

0.25 

1 

1 

0.36* 

0.71" 

0.09 

0.66** 

'None  present. 


'None  present  in  any  stomachs. 
*Adjusted  probability  P  <  0.05. 
**Adjusted  probability  P  <  0.01. 


after  adjusting  for  differences  in  coho  salmon  FL 
(Table  6).  Thus,  changes  in  diet  were  mainly  re- 
lated to  increasing  size  of  coho  salmon  as  they 
migrated  through  the  estuary. 

DISCUSSION 

Both  size  and  diet  can  affect  predation  and  com- 
petition among  juvenile  salmon  in  an  estuary.  A 


218 


MURPHY  ET  AL.:  SIZE  AND  DIET  OF  JUVENILE  PACIFIC  SALMON 


100 


80 


60- 


40- 


20 


-A) 


.  Pink 
'  Chum 
Coho 


^100^ 

Q. 
O 

■5.    80 
« 

<D 
Q. 

^    60 

c 

0) 

(J 

«    40- 
Q. 


20 


26May 


9June 


7July 


B 


I 


100-f 
80 
60 
40 
20 


Inner  Basin 


Middle  Basin 


Outer  Basin 


O-l 


/ 

/ 
/ 
/ 


^< 


/ 


50-59  60-79  80-99 

Salmon  Length  (mm) 


>  100 


Figure  4. — Number  of  pelagic  prey  as  percent  of  total  prey 
eaten  by  individual  salmon  compared  between  sampling  periods 
(A),  estuary  basins  IB),  and  salmon  fork  length  classes  (C)  in  the 
Porcupine  Creek  estuary  in  1981.  Symbols  are  means;  bars  are 
±2  SE  of  the  means.  Symbols  in  B  and  C  are  the  same  as  in  A . 
Pelagic  prey  are  defined  in  the  text. 


salmon's  size  mainly  influences  its  vulnerability 
to  predators,  whereas  its  diet  determines  poten- 
tial competition  for  food.  Size  and  diet,  however, 
are  not  independent.  Salmon  change  their  diet  as 
they  grow,  which  helps  relieve  competition  be- 
tween salmon  of  different  size,  and  a  poor  diet 
slows  their  growth,  which  prolongs  vulnerability 
to  predation. 


Table  6. — Analysis  of  variance  of  percentage  pelagic 
prey  of  coho  salmon,  with  sampling  period  and  estuary 
basin  as  factors  and  salmon  fork  length  as  covariate. 
Factors,  covariate,  and  interactions  were  adjusted 
simultaneously  before  assessing  significant  (Kim  and 
Kohout  1975). 


Source 
of  variation 

df 

Mean 
square 

F 

P 

Length 

Sampling  period 
Basin 
Residual 

Total 

1 

2 

2 

47 

52 

8,458 

1,580 

654 

900 

1,519 

9.4 
1.8 
0.7 

0.004 
0.184 
0.489 

Because  of  similar  diets,  pink  and  chum  salmon 
are  potential  competitors.  Although  diets  of  pink 
and  chum  salmon  in  the  Porcupine  Creek  estuary 
were  similar  in  prey  size  and  some  prey  taxa, 
however,  pink  salmon  fed  almost  solely  on  pelagic 
prey  ,  whereas  chum  salmon  foraged  both  pelagi- 
cally  and  epibenthically;  such  differences  may 
help  reduce  competition.  Competition  probably 
also  was  reduced  because,  as  the  salmon  grew 
larger,  they  switched  to  larger  prey.  Coho  salmon 
probably  did  not  compete  for  food  with  the  other 
two  species  because  the  coho  fed  on  larger,  differ- 
ent prey. 

Rapid  early  growth  of  salmon  is  important  in 
reducing  vulnerability  to  predators  (Parker  1971; 
Taylor  1977).  For  example,  hatchery  pink  salmon 
fry  raised  for  60  days  (to  40  mm  FL)  before  release 
into  an  estuary  in  southeastern  Alaska  survived 
68%  better  at  sea  than  did  fry  released  immedi- 
ately after  emergence  (Martin  et  al.  1981). 
Marine  survival  also  is  higher  for  year  classes  of 
larger  (9-11  cm  FL)  than  for  smaller  (6-8  cm  FL) 
sockeye  salmon,  O.  nerka ,  smolts  (Foerster  1954). 
Coho  salmon  smolts  from  Porcupine  Creek  in 
1978  averaged  99  mm  FL  and  their  survival  was 
twice  that  of  the  1979  smolts,  which  averaged 
only  91  mm  FL  (Thedinga  1985).  Smolt  size  and 
migration  timing,  however,  interact  complexly  to 
influence  marine  survival  of  coho  salmon  (Bilton 
1978). 

Growth  of  juvenile  salmon  in  estuaries  usually 
inferred     from     changes     in     mean     size 


IS 


(LeBrasseur  and  Parker  1964;  Healey  1978),  but 
these  estimates  are  subject  to  bias.  In  this  study, 
changes  in  mean  size  of  fish  in  the  catches  on 
successive  dates  could  underestimate  real  growth 
for  two  reasons:  1)  small  individuals  may  have 
migrated   continuously   into   the   estuary   from 


219 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


freshwater  and  2)  larger  individuals  may  have 
migrated  continuously  from  the  estuary  to  the 
sea.  Conversely,  growth  could  be  overestimated  if 
predators  of  salmon  selected  small  individuals 
(Parker  1971).  In  addition,  although  the  inner 
and  middle  basins  are  semiisolated  from  adjacent 
marine  waters  during  low  tide,  juvenile  salmon 
from  adjacent  waters  could  easily  enter  the  estu- 
ary, especially  the  outer  basin,  during  flood  tide 
and  mix  with  salmon  from  Porcupine  Creek. 

Estimates  of  salmon  growth  in  estuaries  and 
nearshore  marine  waters  are  variable,  but  gener- 
ally range  between  1  and  2  mm/day.  LeBrasseur 
and  Parker  (1964)  estimated  pink  salmon  growth 
to  be  0.9  mm/day  during  the  first  30  days  at  sea, 
and  Healey  (1978)  estimated  pink  salmon  growth 
during  summer  to  be  1.0  mm/day;  our  estimate 
was  1.5  mm/day.  Our  estimate  for  chum  salmon 
at  0.4  mm/day  was  considerably  less  than  that  of 
Healey  (1978)  at  1.5  mm/day,  also  based  on 
change  in  mean  length;  however,  our  estimate  for 
coho  salmon  of  1.6  mm/day  was  similar  to  that  of 
Healey  (1978)  at  1.2  mm/day.  Summer  growth 
back-calculated  from  scales  of  salmon  from  the 
Sea  of  Okhotsk  was  about  1.6  mm/day  for  pink 
and  chum  salmon  (Birman  1969). 

Because  of  their  initial  small  size,  pink  and 
chum  salmon  particularly  are  vulnerable  to 
predators  including  juvenile  coho  salmon  (Parker 
1971).  Several  authors  have  suggested  that  a 
major  share  of  pink  salmon  mortality  in  the  first 
weeks  at  sea  results  from  juvenile  coho  salmon 
predation  (Parker  1971;  Kaczynski  et  al.  1973; 
Hargreaves  and  LeBrasseur  1985),  but  such  pre- 
dation has  not  been  found  in  field  collections. 
Parker  (1971)  demonstrated  predation  by  juve- 
nile coho  salmon  on  pink  salmon  fry  in  the  labora- 
tory, and  juvenile  coho  salmon  are  known  preda- 
tors of  salmon  fi:y  in  fi*eshwater  (Hunter  1959; 
Koski  and  Kirchhofer  1984).  However,  we  have 
not  found  any  published  data  that  show  predation 
by  juvenile  coho  salmon  on  other  salmon  in  estu- 
aries or  marine  waters.  Predation  by  juvenile 
coho  salmon  on  pink  salmon  fiy  migrating  ft-om 
freshwater  does  occur  in  the  tidal-influenced 
reach  of  Porcupine  Creek  (Koski  and  Kirchhofer 
1984),  but  such  predation  apparently  does  not  ex- 
tend into  the  estuarine  basins.  Many  fishes  have 
been  identified  as  predators  of  pink  and  chum 
salmon  in  estuaries,  including  Pacific  herring 
(Thorsteinson  1960),  sea-run  cutthroat  trout, 
Salmo  clarki;  cod,  Gadus  macrocephalus ;  and 
sculpin,  Leptocottus  armatus,  (Bax  et  al.  1977). 
We  speculate  that  predation  by  coho  salmon  on 


salmon  fiy  may  occur  only  under  circumstances 
in  which  the  coho  salmon  are  combined  with 
small  fry  as  they  migrate  from  freshwater. 

The  period  of  vulnerability  of  pink  and  chum 
salmon  fry  to  predation  by  juvenile  coho  salmon  is 
probably  relatively  short.  Within  the  first  3 
weeks  after  entering  the  estuary,  pink  salmon  fiy 
can  grow  larger  than  the  prey  fish  of  juvenile  coho 
salmon.  In  the  laboratory,  juvenile  coho  salmon 
ate  the  smallest  pink  salmon  available  and  did 
not  eat  any  larger  than  about  50  mm  FL  (Parker 
1971),  which  coincides  with  the  largest  fish  eaten 
by  coho  salmon  in  our  study.  At  a  growth  of  1 
mm/day,  pink  salmon  entering  the  estuary  at  32 
mm  FL  will  outgrow  predation  by  coho  salmon 
smolts  in  18  days.  In  Porcupine  Creek,  most  pink 
and  chum  salmon  migrated  fi-om  the  stream  sev- 
eral weeks  before  coho  salmon,  which  enables 
them  to  grow  large  enough  to  avoid  predation  by 
coho  salmon  in  the  estuary.  Thus,  early  migration 
and  rapid  growth  of  pink  and  chum  salmon  fiy 
probably  are  important  in  reducing  predation  by 
coho  salmon. 

In  the  Porcupine  Creek  estuary,  competition 
and  predation  probably  were  slight.  Competition 
for  food  was  minimal,  as  evidenced  by  the  rapid 
salmon  growth,  because  of  differences  in  prey  and 
foraging  mode  and  because  regular  tidal  flushing 
probably  replenished  food  supplies,  as  in  Traitors 
Cove,  AK  (Bailey  et  al.  1975).  Natural  stocking 
levels  in  the  estuary  also  probably  were  below 
thresholds  where  competition  for  food  would  de- 
press survival.  Predation  by  coho  salmon  on  pink 
and  chum  salmon  was  avoided  because  the  pink 
and  chum  salmon  migrated  earlier  than  coho 
salmon  and  rapidly  grew  too  large  for  the 
coho  to  handle.  Thus,  in  this  natural  system,  com- 
petition and  predation  probably  were  unimpor- 
tant because  of  moderate  stocking  levels,  rapid 
growth,  and  differences  in  diet  and  timing  of  mi- 
grations. In  systems  with  hatchery  inputs,  how- 
ever, stocking  levels  would  probably  be  higher 
and  salmon  size  and  timing  of  migrations  differ- 
ent than  in  natural  systems,  which  could  increase 
competition  and  predation. 

Stocking  levels  and  timing  of  hatchery  releases 
of  juvenile  salmon  in  estuaries  are  important  in 
minimizing  competition  and  predation  (Myers 
1980).  Hatchery  releases  should  avoid  combining 
large  concentrations  of  pink  and  chum  salmon  fi-y 
so  as  not  to  deplete  food  supplies.  Conversely,  re- 
leases during  low  predator  abundance  and  good 
growing  conditions — high  food  availability  and 
warm  temperature — could  increase  grov^rth  and 


220 


MURPHY  ET  AL.:  SIZE  AND  DIET  OF  JUVENILE  PACIFIC  SALMON 


survival.  Early  releases  of  coho  salmon  could  in- 
crease predation  on  pink  and  chum  fry  (Johnson 
1974),  especially  fry  <50  mm  FL,  if  the  releases 
coincide  with  fry  migrations  through  the  estuary. 

ACKNOWLEDGMENTS 

Our     thanks     to     R.     Brodeur,     G.     Grette, 

C.  Hawkes,  D.  Kirchhofer,  and  R.  Walter  for  help 
in  study  design  and  field  sampling.  Thanks  also 
to   J.    Hard,   J.    Landingham,   T.    Merrell,   Jr., 

D.  Mortensen,  and  J.  Pella  for  reviewing  the 
manuscript.  The  Fisheries  Research  Institute  of 
the  University  of  Washington  identified  and 
measured  prey  from  stomach  samples. 

LITERATURE  CITED 

Baily.  J.  E.,  B.  L.  Wing,  and  C  R.  Mattson 

1975.  Zooplankton  abundance  and  feeding  habits  of  fry  of 
pink  salmon,  Oncorhynchus  gorbuscha ,  and  chum 
salmon,  Oncorhynchus  keta,  in  Traitors  Cove,  Alaska, 
with  speculations  on  the  carrying  capacity  of  the 
area.  Fish.  Bull.,  U.S.  73:846-861. 
Bax,  N  J. 

1983.     Early  marine  mortality  of  marked  juvenile  chum 

salmon  (Oncorhynchus  keta)  released  into  Hood  Canal, 

Puget    Sound,    Washington,    in    1980.     Can.    J.    Fish. 

Aquat.  Sci.  40:426-435. 

Bax,  N  J ,  E  O.  Salo,  B.  P  Snyder,  C.  A  Simenstad,  and  W.  J. 

Kinney 

1977.  Salmon  outmigration  studies  in  Hood  Canal:  a  sum- 
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BiLTON,  H.  T 

1978.  Returns  of  adult  coho  salmon  in  relation  to  mean 
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BiRMAN,  I  B 

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1954.     On     the     relation     of    adult     sockeye     salmon 
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Hargreaves,  N  B.,  and  R  J  LeBasseur 

1985.    Species    selective    predation    on    juvenile    pink 
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Hunter,  J  G. 

1959.    Survival  and  production  of  pink  and  chum  salmon 

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1974.  Effects  of  hatchery  coho  on  native  Puget  Sound 
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KOSKI,  K  V 

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southeast  Alaska:  Part  I.  Description  and  characteristics 
of  Porcupine  Creek,  Etolin  Island.  In  W.  R.  Meehan, 
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LeBrasseur,  R  J ,  AND  R  R  Parker 

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Can.  21:1101-1128. 

Manzer,  J  I.,  AND  M.  P.  Shepard 

1962.  Marine  survival,  distribution  and  migration  of  pink 
salmon  (Oncorhynchus  gorbuscha)  off  the  British  Colum- 
bia coast.  H.  R.  MacMillan  Lectures  in  Fisheries,  p. 
113-122.  Symposium  on  Pink  Salmon  1960,  Univ. 
British  Columbia,  Vancouver. 

Martin,  R.  M  ,  W.  R.  Heard,  and  A.  C.  Wertheimer. 

1981.  Short-term  rearing  of  pink  salmon  (Oncorhynchus 
gorbuscha )  fry:  effect  on  survival  and  biomass  of  return- 
ing adults.     Can.  J.  Fish.  Aquat.  Sci.  38:554-558. 

McCabe,  G.  T  ,  JR ,  W  D  MUIR,  R  L.  Emmett,  and  J.  T.  DURKIN. 

1983.  Interrelationships  between  juvenile  salmonids  and 
nonsalmonid  fish  in  the  Columbia  River  estuary.  Fish. 
Bull.,  U.S.  81:815-826. 

Meehan,  W  R.,  and  R  A  Miller. 

1978.  Stomach  flushing:  effectiveness  and  influence  on 
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Merrell,  T.  R..  Jr.,  and  K  V.  Koski. 

1978.  Habitat  values  of  coastal  wetlands  for  Pacific  coast 
salmonids.  In  P.  E.  Greeson,  J.  R.  Clark,  and  J.  E.  Clark 
(editors).  Wetland  functions  and  values:  the  state  of  our 
understanding,  p.  256-266.  Proceedings  of  the  Na- 
tional Symposium  on  Wetlands,  American  Water  Re- 
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Myers,  K  W.  W. 

1980.     An  investigation  of  the  utilization  of  four  study 
areas  in  Yaquina  Bay,  Oregon,  by  hatchery  and  wild 
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sity, Corvallis,  234  p. 
Parker,  R  R 

1968.  Marine  mortality  schedules  of  pink  salmon  of  the 
Bella  Coola  River,  central  British  Columbia.  J.  Fish. 
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1971.     Size  selective  predation  among  juvenile  salmonid 
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Can.  28:1503-1510. 
Peterman.  R  M. 

1984.  Density-dependent  growth  in  early  ocean  life  of 
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Aquat.  Sci.  41:1825-1829. 


PiNKAS,  L.,  M   S  OLIPHANT,  and  I.  L.  K.  IVERSON. 

1971.     Food  habits  of  albacore,  bluefin  tuna,  and  bonito  in 
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1977.  The  effect  of  timing  of  downstream  migration  on 
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Thedinga,  J  F. 

1985.  Smolt  scale  characteristics  and  yield  of  coho 
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Thorsteinson,  F.  V 

1960.  Herring  predation  on  pink  salmon  fry  in  a  south- 
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323. 

Walters,  C.  J.,  R.  Hilborn,  R.  M.  Peterman,  and  M  J  Staley. 

1978.  Model  for  examining  early  ocean  limitation  of 
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35:1303-1315. 


222 


GROWTH  THROUGH  THE  FIRST  SEX  MONTHS  OF  ATLANTIC  COD, 

GADUS  MORHUA ,  AND  HADDOCK,  MELANOGRAMMUS  AEGLEFINUS, 

BASED  ON  DAILY  OTOLITH  INCREMENTS^ 

George  R.  Bolz  and  R.  Gregory  Lough^ 

ABSTRACT 

Daily  growth  increments  of  otoliths  from  larval  and  juvenile  Atlantic  cod  and  haddock  were  enumer- 
ated, and  growth  curves  were  derived  describing  the  first  six  months  of  life.  Growth  for  both  species 
was  best  described  by  Gompertz-type  curves.  Inverse  regressive  methods  were  employed  to  construct 
general  models  with  confidence  limits  for  predicting  age  (days)  for  given  standard  lengths  (mm)  from 
hatching  through  the  juvenile  period.  Microstructural  analysis  of  the  otoliths  did  not  discern  a 
settling  check  at  the  time  when  the  fish  would  be  expected  to  leave  the  pelagic  lifestyle  for  the 
demersal  one,  which  indicates  that  the  transition  is  neither  physiologically  stressful  nor  abrupt. 


Fluctuations  in  the  year-class  strength  of  fish 
stocks  are  thought  to  be  determined  by  the  rate  of 
mortality  during  the  first  year  of  life  (Moser  1981; 
Lough  et  al.  1985;  Neilson  and  Geen  1986;  and 
others).  Calculation  of  reliable  mortality  rates, 
assessment  of  the  influences  of  size-selectivity, 
and  establishment  of  precise  hatching  dates  and 
times  during  a  given  year  when  loss  to  recruit- 
ment is  greatest  are  dependent  upon  accurate  age 
and  abundance  estimates.  Recently,  investigators 
have  suggested  that  mortality  during  the  postlar- 
val  and  juvenile  periods  may  be  as  critical  as  that 
occurring  in  the  egg  and  larval  life  stages  (Cohen 
and  Grosslein  1982;  Sissenwine  1984).  Investiga- 
tion of  this  hypothesis  by  the  Northeast  Fisheries 
Center  (NEFC)  has  been  ongoing  since  1984. 
Enumeration  of  daily  growth  increments  de- 
posited on  fish  otoliths  provides  the  best  method 
for  the  age  determination  of  larvae  and  juveniles 
needed  for  generating  growth  curves  and  estimat- 
ing mortality  (Essig  and  Cole  1986).  An  excellent 
review  of  past  and  current  methodologies  em- 
ployed in  the  study  and  application  of  otolith  mi- 
crostructure  may  be  found  in  Campana  and  Neil- 
son  (1985). 

Atlantic  cod  and  haddock  are  both  spring 
spawners  on  Georges  Bank  (Sherman  et  al.  1984) 
and  have  pelagic  eggs  and  larvae  that  undergo 
similar  development.  Transformation  to  the  juve- 


nile life  stage  occurs  around  20-30  mm  SL,  or  2-3 
months  from  hatching  (Fahay  1983).  The  transi- 
tion from  the  pelagic  to  demersal  habitat  of  the 
adults  takes  place  sometime  after  transforma- 
tion, usually  by  6-8  cm  in  midsummer,  and  re- 
cent field  observations  by  the  NEFC  indicates  the 
transition  is  a  gradual  process  with  considerable 
variability. 

In  an  earlier  study  by  Bolz  and  Lough  (1983), 
growth  curves  were  developed  for  larval  Atlantic 
cod  and  haddock  based  on  otolith  analysis  that 
defined  growth  from  hatching  (4-5  mm  SL) 
through  the  first  two  months  of  life  (ca.  20  mm 
SL).  Juvenile  Georges  Bank  Atlantic  cod  and  had- 
dock are  not  fully  vulnerable  to  bottom-trawl 
gear  (Clark  et  al.  1982),  and  growth  curves  based 
on  groundfish  surveys  conducted  by  the  NEFC  in 
the  autumn  and  spring  are  inaccurate  for  fish 
younger  than  about  six  months  of  age.  The  pri- 
mary goal  of  the  work  reported  here  was  to  derive 
age-at-length  curves  for  field-caught  Atlantic  cod 
and  haddock  describing  their  growth  from  hatch 
until  they  are  fully  available  to  capture  by 
bottom-trawl  survey  gear.  A  secondary  objective 
was  to  determine  if  a  check  ring,  a  wide  incremen- 
tal band  indicative  of  physiological  or  environ- 
mental changes,  was  deposited  during  the  juve- 
nile's transition  from  the  pelagic  to  the  demersal 
mode  of  life. 


IMARMAP  Contribution  FED/NEFC  87-15,  Northeast  Fish- 
eries Center  Woods  Hole  Laboratory,  National  Marine  Fish- 
eries Service,  NOAA,  Woods  Hole,  MA  02543. 

^Northeast  Fisheries  Center  Woods  Hole  Laboratory,  Na- 
tional Marine  Fisheries  Service,  NOAA,  Woods  Hole,  MA 
02543. 


Manuscript  accepted  December  1987. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


METHODS 

Atlantic  cod  and  haddock  larvae  and  juveniles 
were  collected  on  six  cruises  conducted  by  the 
NEFC's  RV  Albatross  IV  and  RV  Delaware  II  on 


223 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Georges  Bank  during  the  springs  of  1981,  1983, 
and  1984  and  the  summers  of  1984  and  1985. 
Sample  dates  and  station  locations  where  larvae 
and  juveniles  were  collected  for  otolith  analysis 
are  given  in  Table  1.  The  samples  were  collected 
with  either  1)  a  continuous  double-oblique  haul 
using  a  61  cm  bongo  net  sampler  (0.505  and  0.333 
mm  mesh)  deployed  to  a  maximum  depth  of  100  m 
(Posgay  and  Marak  1980),  2)  a  1  m  MOCNESS^ 
fitted  with  nine  0.333  mm  mesh  nets  which  sam- 
pled discrete  vertical  strata  from  the  bottom  of 
the  water  column  to  the  surface,  3)  a  10  m  MOC- 
NESS  (3  mm  mesh)  with  five  nets  fished  in  the 
same  manner  as  the  1  m  MOCNESS  (Wiebe  et  al. 
1976,  1985),  or  4)  a  Yankee  36  otter  trawl  towed 
for  30  minutes  (Grosslein  1974).  Stations  with 


high  densities  of  Atlantic  cod  and  haddock  larvae 
and  juveniles  in  good  condition  were  selected  dur- 
ing the  cruises  for  otolith  analysis.  The  fish  were 
removed  immediately  following  the  haul  and  pre- 
served in  95%  ethanol. 

In  the  laboratory,  larvae  and  juveniles  repre- 
sentative of  the  entire  size-range  collected  were 
selected  for  analysis.  The  standard  length,  as  well 
as  several  other  morphometric  measurements  of 
each  larva  or  juvenile,  was  measured  to  the 
nearest  0.1  mm  prior  to  removal  of  their  otoliths. 
The  2  sagittae,  2  lapilli,  and,  when  possible,  2 
asterisci  were  dissected  from  the  fish  and,  except- 
ing juvenile  sagittae,  mounted  whole  on  micro- 
scope slides  with  Permounf*.  The  growth  incre- 
ments (Fig.  lA)  on  most  of  these  otoliths  were 


^Multiple  Opening/Closing  Net  and  Environmental  Sensing 
System. 


''References  to  trade  names  do  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


Table  1 . — Station  information  for  Atlantic  cod  and  haddock  specimens  collected  for  otolith  analysis  by  61 
cm  bongo  net  (0.505  mm  mesh)  oblique  hauls  (6B5),  1  m  MOCNESS  (0.333  mm  mesh)  discrete  vertical 
hauls  (1M3),  10  m  MOCNESS  (3.0  mm  mesh)  discrete  vertical  hauls  (10M),  and  Yankee  36  otter  trawl 
(Y36)  duhng  the  1981,  1983,  and  1984  survey  seasons. 


Time  GMT 

Bottom 

Number  of 

Lat. 

Long. 
W 

(Night  or 

depth 

M&ll 

Station 

N 

Date 

day) 

Gear 

(m) 

Cod 

Haddock 

1981 

Albatross  IV 

81-03 

54 

4ri0' 

67=06' 

24  April 

1235(D) 

6B5 

62 

19 

— 

55 

4ri3' 

67=02' 

24  April 

1330(D) 

6B5 

62 

10 

— 

56 

4ri8' 

66=58' 

24  April 

1450(D) 

685 

66 

16 

— 

57 

41°22' 

66=55' 

24  April 

1630(D) 

6B5 

66 

13 

— 

58 

41=26' 

66=51 ' 

24  April 

1840(D) 

6B5 

71 

12 

— 

160 

41°22' 

67=00' 

26  April 

0645(N) 

1M3 

63 

32 

— 

1981 

Albatross  IV 

81-05 

190 

40°57' 

67=19' 

22  May 

0300(N) 

1M3 

76 

— 

8 

197 

40°55' 

67=13' 

25  May 

1200(D) 

1M3 

80 

— 

16 

205 

40°55' 

67=09' 

26  May 

1130(D) 

1M3 

80 

— 

6 

211 

41-11' 

67=35' 

27  May 

1200(D) 

1M3 

49 

— 

27 

215 

4ri2' 

67=36' 

27  May 

2330(D) 

1M3 

40 

— 

19 

1983 

Albatross  IV 

83-03 

415 

40°54' 

67=32' 

13  May 

1816(D) 

1M3 

74 

7 

2 

418 

40°56' 

67=35' 

14  May 

0456(D) 

1M3 

71 

11 

16 

421 

40°5r 

67=34' 

14  May 

1026(D) 

1M3 

68 

2 

13 

432 

40°47' 

67=26' 

15  May 

1636(D) 

1M3 

89 

1 

— 

434 

40°46' 

67=24' 

15  May 

2229(D) 

1M3 

93 

2 

— 

438 

41°05' 

67=47' 

16  May 

1147(N) 

1M3 

54 

— 

15 

440 

4r09' 

67=54' 

16  May 

1646(N) 

1M3 

52 

3 

3 

442 

4r08' 

67=48' 

16  May 

2222(N) 

1M3 

40 

10 

— 

444 

4r09' 

67=55' 

17  May 

0504(N) 

1M3 

52 

13 

— 

1984 

Albatross  IV 

84-05 

519 

4ri9' 

67=19' 

18  June 

0319(N) 

10M 

47 

— 

30 

1984 

Delaware  II 

84-07 

76 

40°53' 

66=22' 

15  Aug. 

1744(D) 

Y36 

66 

1 

1 

85 

4r50 

66=26' 

16  Aug. 

1045(D) 

Y36 

78 

— 

1 

88 

41=49' 

66=23' 

16  Aug. 

1430(D) 

Y36 

62 

— 

1 

89 

41°47° 

66=18' 

16  Aug. 

1604(D) 

Y36 

68 

— 

4 

90 

4r47' 

66=24' 

16  Aug. 

1715(D) 

Y36 

78 

— 

3 

91 

41=47' 

66=30' 

16  Aug. 

1821(D) 

Y36 

72 

— 

1 

93 

41°45' 

66=30' 

16  Aug. 

2024(D) 

Y36 

75 

— 

1 

94 

41=42' 

66=25' 

16  Aug. 

2124(D) 

Y36 

75 

— 

1 

98 

41=47' 

66=1 1 ' 

17  Aug. 

0249(N) 

Y36 

70 

4 

— 

1984 

Albatross  IV 

84-09 

18 

41=49' 

66=16' 

12  Sept. 

0845(N) 

Y36 

70 

— 

9 

19 

41=52' 

66=21' 

12  Sept. 

0951 (N) 

Y36 

90 

1 

12 

224 


BOLZ  AND  LOUGH:  GROWTH  OF  ATLANTIC  COD  AND  HADDOCK 


Figure  1. — A.  Scanning  electron  micrograph  for  a  portion  of  the  sagitta  from  a  5-yr-old  Atlantic  cod,  79  cm  SL,  showing  daily  growth 
increments.  Bar  of  photograph  represents  100  (xm.  B.  Sagitta  from  47-d-old  Atlantic  cod  larva,  13.3  mm  SL  (630x).  Bar  of 
photograph  represents  20  ji.m.  nc  =  nuclear  check,  yc  =  yolk-sac  check. 


225 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


discernible  without  any  further  preparation. 
Sagittae  from  fish  >25  mm  SL  were  mounted  in 
epoxy  resin  and  were  ground,  above  and  below, 
with  carborundum  paper  (600  grit).  The  resulting 
thin  section  was  secured  to  a  microscope  slide 
with  epoxy  resin  and  etched  with  6%  EDTA  (pH 
7.0).  Both  the  grinding  and  etching  procedures 
were  monitored  periodically  by  viewing  the 
sagitta  under  a  dissecting  microscope. 

The  sagittae  were  then  viewed  under  a  Zeiss 
compound  microscope  with  transmitted  light.  The 
number  of  growth  increments  were  counted  from 
the  image  projected  by  a  drawing  tube  onto  a 
Zeiss  MOP  Digital  Image  Analyzer  System. 
Under  transmitted  light  each  growth  increment 
was  composed  of  a  light  and  dark  ring  (Fig.  IB), 
which  corresponded  to  the  heavily  calcified  incre- 
mental zone  and  the  organic-rich  discontinuous 
zone  of  Watabe  et  al.  (1982).  Depending  on  the 
size  of  the  otolith,  magnifications  used  ranged 
from  400  X  to  1,000  x .  Three  counts  were  made  on 
one  of  the  2  sagittae  from  each  larva  or  juvenile, 
and  those  otoliths  with  a  repeatable  increment 
count  of  >90%  were  used  in  the  growi:h  analysis. 
The  other  sagitta  was  counted  once  for  compari- 
son, as  were  the  2  lapilli.  The  number  of  incre- 
ments on  the  2  asterisci  also  were  enumerated.  It 
was  found  in  the  previous  study  (Bolz  and  Lough 
1983)  that  the  asterisci  were  not  detectable  at 
hatching,  in  contrast  to  the  sagittae  and  lapilli, 
but  appeared  later  in  the  larval  period.  This  was 
reflected  in  the  asterisci  having  on  average  27 
fewer  growth  increments  than  the  sagittae.  In 
those  instances  where  the  sagittae  and  lapilli 
were  particularly  difficult  to  read,  the  number  of 
asteriscal  increments  plus  27  was  consulted  as  an 
additional  check.  Maximum  and  minimum  di- 
ameters and  planar  surface  area  of  the  entire 
otolith  were  measured  routinely  on  all  sagittae, 
lapilli,  and  asterisci. 

The  differential  shrinkage  of  Atlantic  cod  and 
haddock  larvae  and  juveniles  with  respect  to 
standard  length  was  corrected  using  Theilacker's 
algorithm  ( 1980),  which  is  specified  and  discussed 
in  Bolz  and  Lough  (1983).  All  lengths  referred  to 
in  the  results  and  discussion  portions  of  this 
paper  are  reported  as  corrected  lengths. 

RESULTS 

Haddock  Larval  and  Juvenile  Growth 

From  analysis  of  the  189  larval  and  juvenile 
haddock,  ranging  from  3.5  to  123.4  mm  SL,  we 


found  that  growth  was  best  described  by  a 
Gompertz-type  curve.  Previous  uses  of  the  Gom- 
pertz  growth  curve  and  methodology  for  fitting 
the  curve  are  described  in  Pennington  (1979), 
Lough  et  al.  (1982),  and  Messieh  et  al.  (1987).  The 
variance  was  stabilized  by  using  the  natural  log 
form  of  the  growth  equation,  and  parameters 
were  derived  by  nonlinear  estimation  techniques 
resulting  in  the  relationship: 


ln(L)  =  1.1987  +  4.8438(1  -e 


0.0088R\ 


(1) 


where  L  =  standard  length  in  mm,  and 

R  =  number   of  days    (increments)    from 
hatch. 

A  plot  of  the  Gompertz  curve  fitted  to  the  natural 
log  of  standard  length  vs.  age  in  days  is  shown  in 
Figure  2. 

The  predicted  hatch-length  fi-om  the  curve  of 
3.32  mm  falls  within  the  range  of  previous  studies 
(Colton  and  Marak  1969;  Fahay  1983).  An  aver- 
age growth  rate  of  0.24  mm/day  (Table  2)  for  the 
first  30  days  is  also  reasonable  (Laurence  1978; 
Laurence  et  al.  1981)  and  agrees  with  the  earlier 
study  of  Bolz  and  Lough  (1983).  As  a  generalized 
model  the  Gk)mpertz  equation  described  haddock 
growth  through  the  first  six  months  (175  days),  at 
which  point  it  intersected  (Fig.  3)  the  von  Berta- 
lanffy  growth  curve  generated  fi'om  an  analysis  of 
adult  haddock  by  Clark  et  al.  (1982): 


Table  2. — Mean  standard  length  at  age,  95%  confidence  limits, 
and  growth  rate  (mm/day  and  %/day)  of  larval  and  juvenile  had- 
dock from  hatch  through  200  days  estimated  from  the  Gompertz 
growth  model  fit. 


Mean 

95%  confidence 
limits 

Growth 

Growth 

Age 

(d) 

length 
(mm) 

rate 

rate 

Lower 

Upper 

(mm/day) 

(%/day) 

0 

3.32 

3.22 

3.41 

0.14 

4.22 

10 

4.99 

4.88 

5.11 

0.20 

4.01 

20 

7.27 

7.13 

7.41 

0.26 

3.58 

30 

10.25 

10.07 

10.42 

0.34 

3.32 

40 

14.03 

13.80 

14.26 

0.42 

2.99 

50 

18.70 

18.39 

19.02 

0.51 

2.78 

60 

24.34 

23.89 

24.80 

0.61 

2.55 

70 

30.98 

30.34 

31.63 

0.71 

2.32 

80 

38.63 

37.74 

39.53 

0.82 

2.12 

90 

47.27 

46.08 

48.51 

0.91 

1.95 

100 

56.88 

55.30 

58.50 

1.01 

1.77 

110 

67.37 

65.35 

69.45 

1.09 

1.63 

120 

78.67 

76.14 

81.28 

1.17 

1.49 

130 

90.66 

87.56 

93.86 

1.23 

1.35 

140 

103.23 

99.52 

107.08 

1.28 

1.23 

150 

116.26 

111.88 

120.81 

1.32 

1.14 

160 

129.63 

124.54 

134.92 

1.35 

1.04 

170 

143.21 

137.38 

149.28 

1.36 

0.95 

180 

156.88 

150.29 

163.76 

1.37 

0.87 

190 

170.54 

163.17 

178.25 

1.36 

0.80 

200 

184.09 

175.92 

192.63 

1.35 

0.73 

226 


BOLZ  AND  LOUGH:  GROWTH  OF  ATLANTIC  COD  AND  HADDOCK 


JZ 
-P 

cn 

c 


X) 
L. 
O 

"D 

C 

o 
-p 
cn 


200.0 


100.0  -■ 


50.0  -■ 


25.  0  -- 


12.0 


-Q   0088R 

ln(L)    =    1.  1987   +    4.8438(1    -   g     "  ) 


-I — I — ^- 


-I — \ — U 


4 — I — U 


J I \ L 


J I L 


25 


50 


75 


100 


125 


150 


175 


AgG    in   Days 

Figure  2. — Gompertz  growth  curve  and  equation  fitted  to  plot  of  In  standard  length  and  number  of  otolith  increments  (estimated  age 

in  days)  for  189  larval  and  juvenile  haddock  collected  on  Georges  Bank. 


L  =  738.0(1  -  e-0.3763[(fl+D)/365-0.1649])^  (2) 

where  D  =  Julian  date  of  hatch. 

Based  on  the  1981  season,  an  average  hatch-date 
of  15  April  {D  =  105)  was  employed  in  the  present 
model.  An  average  length  of  19.9  cm  would  have 
been  attained  on  1  January,  by  fisheries  science 
convention  the  date  at  which  an  individual  is  con- 
sidered to  be  1-year-old. 


The  predicted  hatch-length  of  4.02  mm  was 
within  known  limits  (Colton  and  Marak  1969). 
The  average  growth  rate  of  0.21  mm/day  (Table  3) 
through  the  first  month  was  slightly  lower  than 
that  of  haddock,  which  is  consistent  with  previous 
findings  (Bolz  and  Lough  1983).  At  approxi- 
mately 192  days  the  larval  and  juvenile  growth 
curve  intersected  the  von  Bertalanffy  curve  calcu- 
lated for  adult  Atlantic  cod  by  Penttila  and  Gif- 
ford  (1976): 


Atlantic  Cod  Larval  and 
Juvenile  Growth 

Although  there  were  few  larger  individuals 
amongst  the  157  larval  and  juvenile  Atlantic  cod 
examined,  the  apparent  pattern  was  similar  to 
that  seen  in  haddock.  A  Gompertz  growth  curve 
also  provided  a  good  fit  when  the  natural  log  of 
standard  length  (range:  4.6-104  mm)  was  plotted 
(Fig.  4)  against  age  in  days  (range:  7-151): 


ln(L)  =  1.3915  +  6.2707(1  -  e-o.oo53/?)_ 


(3) 


L  =  1481  0(1  -  e-01200((i?+D)/365-0.6160)^  (4) 

For  purposes  of  the  model  a  mean  hatch-date  of  15 
March  (D  =  74)  was  assumed.  An  average  At- 
lantic cod  would  be  expected  to  have  achieved  a 
length  of  26.1  cm  by  1  January  (Fig.  5). 

Predictability 

Since  it  is  desirable,  especially  during  field  sur- 
veys when  direct  analysis  of  otoliths  is  impossi- 
ble, to  be  able  to  predict  age  from  a  given  length, 


227 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


SL 
-t-> 

cn 

c 

Qi 


L. 

O 

X) 

c 

D 
-P 

tn 


200.0 

- 

* 

100.0 

- 

• 

50.0 

- 

^^ 

-.  3783  <(R- 1055/365- 
ln<L)    =  6.6039  *    Ind    -  e 

Adult  von  Bertalanffy  Growth  Curve 
Clark  at  al.     (1982) 

1849) 

25.0 

12.0 

•5P^ 

jf^' ' 

6.0 

• 

>? 

i^ 

-0.  0088R 
ln(L)    =   1.  1987  *  4.8438C1    -  e                  ) 

3.0 
n 

/ 

• 

1 

Larval   and  Juvenile  Gompertz  Growth  Curve 
1                            1                             1                             I 

1 

Apr 


May 


Jun 


Jul 


Aug 


Sep 


Oct 


Nov 


Dqc 


Jan 


Figure  3. — Haddock  growth  model  with  an  assumed  mean  hatch-date  of  15  April  projected  through  mid-January.  An  average 
length  of  19.9  cm  would  have  been  attained  on  01  January,  by  fisheries  science  convention  the  date  at  which  an  individual  is 
considered  to  be  1-year-old. 


inverse  regression  (Draper  and  Smith  1966)  was 
performed  on  the  Atlantic  cod  and  haddock 
grovii;h  curves  to  estabhsh  confidence  intervals 
for  predicting  age  from  a  given  standard  length. 
In  its  reduced  form  the  equation  obtained  for  had- 
dock was 


X^   _  ln(l  -  (Xq  ±  Q.023^(((Xo  -  0.2990)2/7.7959)  +  (1  +  l/n))^^^)) 
Xi  -0.0088 


(5) 


where  X^^  and  Xi  =  upper  and  lower  confidence 

limits, 
Xo=l-e-ooo88«  and 

n  =  sample  size. 


Figure  6  shows  the  fitted  growth  curve  bracketed 
by  95%  confidence  intervals. 

Performing  the  same  calculations  on  the  At- 
lantic cod  growth  curve  yielded  the  relation- 
ship: 

X„,  _  ln(l  -  (Xq  ±  0.022t{{iXo  -  0.1918)^/0.9294)  +  (1  +  l/n))^'^)) 


X, 


0.0053 


(6) 


where  Zo  =  l-e-o  0053ft 


228 


BOLZ  AND  LOUGH:  GROWTH  OF  ATLANTIC  COD  AND  HADDOCK 


E 


JZ 

4-> 

m 

c 

Q) 


XI 

O 

X) 

c 

D 
C/) 


200.0   - 


100.0  - 


50.  0   - 


25.0  •- 


12.0 


6.0   - 


3.0   - 


ln(L)    =   1.3915  *  6.2707(1    -  g-°-°°53Rj 


J I \ L 


J I L 


J 1 L 


J I L 


25 


50 


75 


100 


125 


150 


175 


AgG    in   Days 

Figure  4. — Gompertz  growth  ciirve  and  equation  fitted  to  plot  of  In  standard  length  and  number  of  otolith  increments  (estimated  age 

in  days)  for  157  larval  and  juvenile  Atlantic  cod  collected  on  Georges  Bank. 


Table  3. — Mean  standard  length  at  age,  95%  confidence  limits, 
and  growth  rate  (mm/day  and  %/day)  of  larval  and  juvenile  Atlantic 
cod  from  hatch  through  200  days  estimated  from  the  Gompertz 
growth  model  fit. 


Mean 

95%  confidence 
limits 

Growth 

Growth 

Age 

(d) 

length 
(mm) 

rate 

rate 

Lower 

Upper 

(mm/day) 

(%/day) 

0 

4.02 

3.79 

4.27 

0.13 

3.37 

10 

5.56 

5.31 

5.82 

0.18 

3.24 

20 

7.55 

7.30 

7.82 

0.23 

3.05 

30 

10.11 

9.85 

10.37 

0.29 

2.87 

40 

13.32 

13.03 

13.62 

0.36 

2.70 

50 

17.31 

16.88 

17.75 

0.44 

2.60 

60 

22.19 

21.48 

22.92 

0.54 

2.43 

70 

28.08 

26.95 

29.26 

0.64 

2.31 

80 

35.11 

33.40 

36.91 

0.76 

2.19 

90 

43.39 

40.91 

46.03 

0.90 

2.10 

100 

53.05 

49.58 

56.77 

1.04 

1.98 

110 

64.18 

59.48 

69.26 

1.19 

1.87 

120 

76.90 

70.69 

83.65 

1.35 

1.77 

130 

91.27 

83.26 

100.05 

1.52 

1.68 

140 

107.38 

97.24 

118.57 

1.70 

1.58 

150 

125.27 

112.65 

139.30 

1  88 

1.51 

160 

144.99 

129.52 

162.30 

2.06 

1.43 

170 

166.55 

147.85 

187.61 

2.25 

1.35 

180 

189.95 

167.61 

215.26 

2.43 

1.28 

190 

215.17 

188.79 

245.24 

2.61 

1.22 

200 

242.18 

211.34 

277.52 

2.79 

1.16 

Figure  7  shows  the  Atlantic  cod  growth  curve 
bracketed  by  95%  confidence  intervals.  Tables  4 
and  5  provide  predicted  ages  of  Atlantic  cod  and 
haddock  for  given  standard  lengths  with  70%  and 
95%  confidence  limits. 

Otolith  Growth 

In  the  earlier  study  of  larval  Atlantic  cod  and 
haddock  (Bolz  and  Lough  1983),  it  was  found  that 
the  sagittal  rings  (one  incremental  and  one  dis- 
continuous zone)  were  segregated  into  distinct  re- 
gions separated  by  thicker,  darker  discontinuous 
zones  referred  to  as  checks  or  check  rings.  Two 
"heavy  rings"  were  noted  in  the  larvae:  1)  a  nu- 
clear check  surrounding  a  central,  amorphous 
core  and  1  or  2  irregular  rings,  and  2)  a  yolk-sac 
check  2-8  increments  farther  outward  (Fig.  IB). 
The  present  study  corroborated  the  existence  of 
these  two  checks.  Although  each  otolith  was  care- 
fully examined  for  the  presence  of  a  settling 
check,  no  regularly  occurring  heavy  ring  could  be 
discerned  beyond  the  yolk-sac  check  in  either  the 
haddock  or  the  Atlantic  cod  juveniles.  It  should, 


229 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


E 

E 

\^ 

JZ 

c 

Q) 


L 

O 

"□ 

C 

o 

CO 


200.0 


100.0 


50.0 


25.0 


12.0 


6.0 


3.0 


-0.0053R 
In(L)    =   1.3915  *  6.2707(1    -  e  ) 

Larval  and  Juvonile  Gompertz  Growth  Cunva 


ln(L)  =  7.6622  *  Ind 


-.  1200((R*74)/3e5*.eiBro. 


Adult  von  Bortalanffy  Growth  Curve 
Panttila  and  Glfford  (1976) 


Mar  Apr 


Mav 


Jun 


Jul 


Aug 


Sep 


Oct 


Nov 


Dec         Jan 


Figure  5. — Atlantic  cod  growth  model  with  assumed  mean  hatch-date  of  15  March  projected  through  mid-January.  An  average 
length  of  26.1  cm  would  have  been  attained  by  01  January,  by  fisheries  science  convention  the  date  at  which  an  individual  is 
considered  to  be  1-year-old. 


D 
Q 


CD 
< 


y 

200 

; 

^ 

175 

- 

^ 

^ 

^ 

^-'^^.^ 

150 

- 

^ 

^ 

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^  -  '^ 

125 

- 

^ 

• 

lUU 

- 

/- 

/ 

y 

^ 

75 

— 

/ 

/     y 
/  / 

y 

/ 

y 

50 

— 

f 

25 
n 

1 

f 

1 

111) 

1  1  .  1  <  1 

1  1 

1  1  1  1  1 

I  1  1 

1   1   I   1   1   1   1   1 

25 


50 


75 


100 


125 


150 


175 


230 


Standard  Length  (mm) 


BOLZ  AND  LOUGH:  GROWTH  OF  ATLANTIC  COD  AND  HADDOCK 


200 


175 


D 
Q 


W 

CD 

<; 


150 

- 

125 

_^ 

^            .^--"''^ 

/    ^^^-^""^ 

/    ^^'''''^          ^  -^ 

. 

/  '^''■^'^           -- 

100 

- 

■^      ^...^     .  ^   '" 

■ 

y        /-^  •  •  -^ 

_ 

/     ^X       ^  '^ 

75 

- 

" 

/  .X    / 

50 

- 

i 

3r> 

25 

n 

-  itl 

/ 

J — 1 — 1 — 1 — 1 — 1 — 1 — 1 — 1 — 1 — I — 1_.  1  1  1   1   1 

25 


50 


75 


100 


— I — I — 1 I I I I I      I      I 

125  150  175 


Standard    Length    (mm) 

Figure  7. — Inverse  regression  of  Atlantic  cod  growth  curve  with  95%  confidence  intervals  for  predicting  age  in  days  for  a  given 

standard  length  (mm). 


however,  be  noted  that  the  size  range  available 
for  study  limited  the  search  for  a  settling  check  to 
individuals  >90  mm  SL  and  does  not  preclude  the 
possibility  that  thinner,  less  discernible  checks 
may  be  found  when  greater  numbers  of  juveniles 
50-90  mm  SL  are  analyzed. 

In  both  haddock  and  Atlantic  cod  diametral 
growth  (fjim)  of  the  sagittae,  lapilli,  and  asterisci 
was  linearly  related  to  standard  length  (mm) 
throughout  the  larval  and  juvenile  periods.  The 
high  correlation  (r  >  0.98)  of  this  relationship 
and  its  good  agreement  with  measurements  made 
by  Bergstad  (1984)  would  allow  the  sagittal  di- 
ameter to  be  used  as  a  check  on  the  predictability 
model  outlined  in  Equations  (5)  and  (6)  for  esti- 
mating age  from  standard  length.  Estimated  ages 
for  haddock  larvae  and  juveniles  based  on  maxi- 


mum otolith  diameters  may  be  obtained  with  the 
following  equation: 


Figure  6. — Inverse  regression  of  haddock  growth  curve  with 
95%  confidence  intervals  for  predicting  age  in  days  for  a  given 
standard  length  (mm). 


Y  =  28.390  +  2.413Xi  +  21.561X2  +  73.841X3 


(7) 


where  Y  =  estimated  age  in  days, 

Xi  =  sagittal  diameter  in  mm, 
X2  =  lapillus  diameter  in  mm,  and 
X3  =  astericus  diameter  in  mm. 

Table  6  provides  a  comparison  of  estimated  ages 
derived  from  otolith  diameters  with  observed 
ages  derived  from  the  number  of  daily  incre- 
ments. Although  multiple  regression  analysis 
using  the  three  otolith  diameters  yielded  a  high 
correlation  coefficient  (r  =  0.9890)  and  nonsignif- 
icant ^-values,  the  95%  confidence  limits  are 
quite  broad  (±2  weeks)  and  should  be  used  with 
caution.  Use  of  the  sagittal  diameter  alone 
(Y  =  35.945  +  18.484Xi)  provided  a  good  fit 
(r  =  0.9861)  for  juveniles  >90  mm  SL  but  was  a 
poor  age  predictor  for  younger  fish.  If  only  the 
sagitta  is  available  for  analysis,  the  relationship: 


231 


Table  4. — Predicted  age  in  days  with  70%  and  95%  confidence 
limits  of  larval  and  juvenile  haddock  for  a  given  standard  length. 


FISHERY  BULLETIN:  VOL.  86,  NO  2 

Table  5. — Predicted  age  in  days  with  70%  and  95%  confidence 
limits  of  larval  and  juvenile  Atlantic  cod  for  a  given  standard  length. 


Observed 

standard 

length 

(mm) 

Predicted 
age 
(d) 

70%  confidence 

limits 

95%  confidence 
limits 

Observed 

standard 

length 

(mm) 

Predicted 
age 
(d) 

70%  confidence 
limits 

95%  confidence 
limits 

Lower 

Upper 

Lower 

Upper 

Lower 

Upper 

Lower 

Upper 

5 

10.0 

7.1 

13.0 

4.4 

15.9 

5 

6.7 

2.1 

11.3 

-2.1 

15.7 

10 

29.3 

25.8 

32.8 

22.7 

36.2 

10 

29.6 

24.5 

34.8 

19.9 

39.8 

15 

42.3 

38.4 

46.3 

34.9 

50.1 

15 

44.5 

39.0 

50.1 

34.0 

55.5 

20 

52.5 

48.2 

56.9 

44.4 

61.1 

20 

55.8 

49.9 

61.8 

44.7 

67.6 

25 

61.1 

56.5 

65.8 

52.4 

70.4 

25 

65.0 

58.9 

71.3 

53.4 

77.5 

30 

68.6 

638 

73.7 

59.4 

78.7 

30 

72.9 

66.5 

79.6 

60.8 

86.0 

35 

75.4 

70.3 

80.8 

65.7 

86.1 

35 

79.9 

73.2 

86.8 

67.3 

93.5 

40 

81.7 

76.2 

87.4 

71.4 

93.0 

40 

86.1 

79.2 

93.3 

73.1 

100.3 

45 

87.5 

81.7 

93.5 

76.7 

99.5 

45 

91.8 

84.7 

99.2 

78.3 

106.5 

50 

92.9 

86.9 

99.3 

81.6 

105.6 

50 

97.0 

89.7 

104.7 

83.2 

112.2 

55 

98.1 

91.8 

104.8 

86.3 

111.4 

55 

101.9 

94.3 

109.8 

87.6 

117.6 

60 

103.1 

96.5 

110.0 

90.7 

117.0 

60 

106.4 

98.7 

114.6 

91.8 

122.6 

65 

107.8 

101.0 

115.1 

95.0 

122.4 

65 

110.7 

102.7 

119.1 

95.7 

127.3 

70 

112.4 

105.3 

120.0 

99.0 

127.6 

70 

114.7 

106.6 

123.3 

99.4 

131.8 

75 

116.8 

109.4 

124.8 

103.0 

132.7 

75 

118.6 

110.3 

127.4 

102.9 

136.1 

80 

121.1 

113.5 

129.4 

106.8 

137,7 

80 

122.3 

113.8 

131.3 

106.3 

140.2 

85 

125.3 

117.4 

133.9 

110.4 

142.6 

85 

125.8 

117.1 

135.0 

109.5 

144.1 

90 

129.5 

121.2 

138.4 

114.0 

147.4 

90 

129.2 

120.3 

138.6 

112.5 

147.9 

95 

133.5 

124.9 

142.8 

117.5 

152.2 

95 

132.4 

123.4 

142.0 

115.5 

151.6 

100 

137.5 

128.6 

147.1 

121.0 

156.9 

100 

135.6 

126.4 

145.4 

118.3 

155.1 

105 

141.4 

132.2 

151.4 

124.3 

161.6 

105 

138.6 

129.2 

148.6 

121.0 

158.6 

110 

145.2 

135.8 

155.6 

127.6 

166.2 

110 

141.5 

132.0 

151.7 

123.7 

161.9 

115 

149.0 

139.3 

159.8 

130.9 

170.8 

115 

144.4 

134.7 

154.8 

126.3 

165.1 

120 

152.8 

142.7 

163.9 

134.1 

175.4 

120 

147.2 

137.3 

157.7 

128.7 

168.3 

125 

156.6 

146.1 

168.1 

137.2 

180.0 

125 

149.9 

139.9 

160.6 

131.1 

171.3 

130 

160.3 

149.5 

172.2 

140.4 

184.6 

130 

152.5 

142.3 

163.4 

133.5 

174.3 

135 

164.0 

152.9 

176.3 

143.4 

189.2 

135 

155.1 

144.8 

166.1 

135.8 

177.3 

140 

167.6 

156.2 

180.4 

146.5 

193.9 

140 

157.6 

147.1 

168.8 

138.0 

180.2 

145 

171.3 

159.5 

184.6 

149.5 

198.5 

145 

160.0 

149.4 

171.4 

140.2 

183.0 

150 

175.0 

162.8 

188.7 

152.5 

203.2 

150 

162.4 

151.6 

174.0 

142.3 

185.7 

155 

178.6 

166.0 

192.8 

155.5 

207.9 

155 

164.8 

153.8 

176.5 

144.4 

188.5 

160 

182.3 

169.3 

197.0 

158.5 

212.7 

160 

167.1 

156.0 

179.0 

146.4 

191.1 

165 

185.9 

172.6 

201.2 

161.4 

217.5 

165 

169.3 

158.1 

181.4 

148.4 

193.7 

170 

189.6 

175.8 

205.4 

164.3 

222.4 

170 

171.5 

160.2 

183.8 

150.4 

196.3 

175 

193.3 

179.0 

209.6 

167.3 

227.4 

175 

173.7 

162.2 

186.2 

152.3 

198.8 

Y  =  11.875  +  112.654Xi,  r  =  0.9129 


(8) 


DISCUSSION 


should  be  used  for  the  larval  and  postlarval  pe- 
riod. 

The  equation  for  the  estimated  ages  of  larval 
and  juvenile  Atlantic  cod  (Table  7)  is  as  follows: 

Y  =  48.202  +  8.628Xi  -  121.908^2  +  139.733Z3, 

r  =  0.9292.  (9) 

When  using  only  the  sagittal  diameter,  the  fol- 
lowing relationship  should  be  applied  to  larvae 
and  postlarvae: 

Y  =  19.364  +  89.560Xi,  r  =  0.8659.         (10) 

Unlike  the  tedious  laboratory  methods  needed  for 
the  enumeration  of  otolith  increments,  gross 
measurements  on  a  limited  number  of  juvenile 
otoliths  could  be  performed  at  sea. 


Despite  the  tedious  methodology  required  for 
enumerating  daily  growth  increments  in  larval 
and  juvenile  otoliths,  the  present  work  suggests 
that  it  is  feasible  to  construct  age-length  keys  for 
Atlantic  cod  and  haddock  similar  to  those  com- 
monly applied  in  adult  population  studies  (Clark 
et  al.  1982).  The  value  of  such  growth  data  is 
based  on  several  assumptions,  however.  Since  all 
conclusions  drawn  depend  upon  it,  reasonable  as- 
surance of  the  day-increment  relationship  in  the 
species  being  investigated  is  critical  (Beamish 
and  McFarlane  1987;  Geffen  1987).  Confidence  in 
the  growth  models  generated  here  for  Atlantic 
cod  and  haddock  may  be  found  in  the  following 
inferences:  1)  the  predicted  hatch  lengths  of  3.32 
mm  for  haddock  and  4.02  mm  for  Atlantic  cod  fall 
within  known  limits;  2)  a  high  correlation  for  the 
length-at-age  data  with  the  rearing  experiments 
of  Laurence  et  al.  (1981);  and  3)  the  smooth- 


232 


BOLZ  AND  LOUGH:  GROWTH  OF  ATLANTIC  COD  AND  HADDOCK 


Table  6. — Estimated  age  in  days  based  on  otolith  diame- 
ters with  95%  confidence  limits  for  larval  and  juvenile  had- 
dock compared  with  observed  age  derived  from  number  of 
daily  increments. 


Observed 
age 
(d) 

Estimated 
age 
(d) 

95% 

confidence 
limits 

Lower 

Upper 

0.0 

1.5 

-12.3 

15.4 

10.0 

11.3 

-2.5 

25.1 

20.0 

21.1 

7.4 

34.9 

30.0 

30.9 

17.2 

44.6 

40.0 

40.7 

27.0 

54.4 

50.0 

50.5 

36.8 

64.2 

60.0 

60.3 

46.7 

73.9 

70.0 

70.1 

56.5 

83.7 

80.0 

79.9 

66.2 

93.6 

90.0 

89.7 

76.0 

103.3 

100.0 

99.5 

85.8 

113.1 

110.0 

109.3 

95.6 

122.9 

120.0 

119.0 

105.3 

132.8 

130.0 

128.8 

115.1 

142.6 

140.0 

138.6 

124.8 

152.5 

150.0 

148.4 

134.5 

162.3 

160.0 

158.2 

144.3 

172.2 

170.0 

168.0 

154.0 

182.0 

180.0 

177.8 

163.7 

191.9 

Table  7. — Estimated  age  in  days  based  on  otolith  diame- 
ters with  95%  confidence  limits  for  larval  and  juvenile  At- 
lantic cod  compared  with  observed  age  derived  from  num- 
ber of  daily  increments. 


Observed 
age 
(d) 

Estimated 
age 
(d) 

95% 

confidence 
limits 

Lower 

Upper 

0.0 

7.1 

-6.9 

21.1 

10.0 

15.8 

2.1 

29.5 

20.0 

24.5 

11.0 

38.0 

30.0 

33.2 

19.9 

46.5 

40.0 

41.9 

28.7 

55.1 

50.0 

50.6 

37.5 

63.8 

60.0 

59.3 

46.2 

72.5 

70.0 

68.0 

54.8 

81.2 

80.0 

76.7 

63.4 

90.1 

90.0 

85.4 

71.9 

98.9 

100.0 

94.1 

80.4 

107.9 

110.0 

102.8 

88.8 

116.9 

120.0 

111.6 

97.2 

125.9 

130.0 

120.3 

105.5 

135.0 

140.0 

129.0 

113.8 

144.1 

150.0 

137.7 

122.1 

153.3 

160.0 

146.4 

130.3 

162.5 

170.0 

155.1 

138.5 

171.7 

180.0 

163.8 

146.6 

180.9 

ness  with  which  the  larval  and  juvenile  curves 
flow  into  those  independently  developed  for  the 
adults  (Clark  et  al.  1982;  Penttila  and  Gifford 
1976). 

The  predictive  models  for  Atlantic  cod  and  had- 
dock have  to  be  viewed  as  general  in  nature,  and 
the  widening  of  the  confidence  intervals  with  in- 
creasing length  (Tables  4,  5)  must  be  kept  in 


mind.  Natural  variability  of  length-at-age  and 
difficulty  in  the  preparation  and  reading  of 
otoliths  increases  as  the  fish  becomes  older  and 
makes  precise  age  determinations  extremely  dif- 
ficult. For  example,  the  ability  to  predict  correctly 
the  age  of  an  individual  haddock  at  the  70%  con- 
fidence level  decreases  from  ±3  days  at  5  mm  SL 
to  ±2  weeks  at  175  mm.  In  spite  of  this  problem, 
otolith  aging  of  field-caught  larvae  and  juveniles 
provides  a  degree  of  precision  not  possible  with 
indirect  methods  based  on  size-frequency  analy- 
ses (Ebert  1973).  Refinement  of  the  estimated 
means  and  the  reduction  and  stabilization  of  the 
variance  should  result  as  a  greater  number  of 
otoliths  are  analyzed  in  the  future. 

Microstructural  examination  of  larval  Atlantic 
cod  and  haddock  otoliths  clearly  delineated  check 
rings  related  to  hatching  and  yolk-sac  absorption 
(Bolz  and  Lough  1983).  Both  of  these  transitions 
are  abrupt,  and  the  dark,  thick  discontinuous 
zones  readily  observable  on  the  otoliths  are  a  re- 
flection of  metabolic  disturbances  undergone  at 
these  times.  Although  additional  check  rings 
were  noted  in  3  or  4  of  the  juvenile  otoliths,  there 
was  no  regularity  with  respect  to  age  of  their  oc- 
currence. In  these  individuals  the  checks  were 
probably  the  result  of  physiological  trauma  in- 
duced by  disease  or  injury  since  calcium  carbon- 
ate secretion  ceases  not  only  with  the  metabolic 
changes  accompanying  transitional  phases  but 
during  times  of  stress  (Morales-Nin  1987).  It  was 
suspected  that  a  distinct  check,  similar  to  the  set- 
tling check  found  by  Victor  (1982)  in  the  bluehead 
wrasse,  Thalassoma  bifasciatum ,  would  be  found 
demarcating  the  transition  from  the  pelagic  to 
the  demersal  mode  of  life  with  its  accompanying 
changes  in  diet  and  activity  levels.  No  check  rings 
were  found  in  the  transition  period  (50-100  days) 
on  the  otoliths  analyzed.  This  suggests  that  an 
abrupt  metabolic  disturbance  does  not  occur  at 
this  phase  of  the  fish's  life  and  that  settling  near 
the  bottom  takes  place  over  an  extended  period  of 
time  (1-2  months)  even  for  individual  fish.  This 
agrees  with  a  preliminary  finding  for  Scotian 
Shelf  gadoids  by  Campana  and  Neilson  (1985). 
However,  in  a  recent  study  by  Mahon  and  Neilson 
(1987)  on  the  gut  contents  of  Scotian  Shelf  had- 
dock, they  concluded  that  the  transition  from 
pelagic  to  demersal  life  occurred  relatively  sud- 
denly, less  that  a  month  for  the  individual  fish. 
Apparently,  change  to  the  demersal  life  stage  is 
not  stressful  for  Atlantic  cod  and  haddock,  at 
least  as  a  metabolic  manifestation  recorded  in 
their  otoliths. 


233 


FISHERY  BULLETIN:  VOL.  86.  NO.  2 


When  used  in  conjunction  with  length- 
frequency  data  collected  throughout  the  year,  the 
Atlantic  cod  and  haddock  growth  curves  pre- 
sented in  this  report  should  allow  accurate  esti- 
mates of  the  following:  1)  peak  hatching  dates,  2) 
the  number  of  cohorts  produced  within  a  given 
season,  3)  intraseasonal  changes  in  growth  and 
mortality  rates  of  cohorts,  and  4)  which  part  of  the 
spawning  curve  the  recruits  originated  from 
(Methot  1983).  In  the  future  year-to-year  com- 
parison of  deviations  in  these  estimates  could 
lead  to  the  construction  of  viable  recruitment 
models  permitting  the  early  prediction  of  year- 
class  strength. 

ACKNOWLEDGMENTS 

We  gratefully  acknowledge  the  technical  help 
and  guidance  provided  by  Susan  Houghton  with 
the  scanning  electron  microscope  portions  of  this 
paper  and  by  Michael  Pennington  with  the  statis- 
tical analyses. 

LITERATURE  CITED 

Beamish,  R  J .  and  G.  A  McFarlane. 

1987.  Current  trends  in  age  determination  methodology. 
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growth  offish,  p.  15-42.     Iowa  State  Univ.  Press,  Ames. 

Bergstad,  0  A. 

1984.  A  relationship  between  the  number  of  growth  incre- 
ments on  the  otoliths  and  age  of  larval  and  juvenile  cod, 
Gadus  morhua  L.  In  E.  Dahl,  D.  S.  Danielssen,  E.  Mok- 
ness,  and  P.  Solemdal  (editors).  The  propagation  of  cod 
Gadus  morhua  L,  p.  251—272.  Flodevigen  rapportser.  1, 
1984. 

BoLZ,  G  R.,  and  R.  G.  Lough. 

1983.  Growth  of  larval  Atlantic  cod,  Gadus  morhua,  and 
haddock,  Melanogrammus  aeglefinus ,  on  Gteorges  Bank, 
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Campana.  S.  E  ,  and  J.  D.  Neilson. 

1985.  Microstructure  of  fish  otoliths.  Can.  J.  Fish. 
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Clark,  S.  H  .  W  J.  Overholtz,  and  R.  C.  Hennemuth. 

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Cohen.  E.  B.,  and  M  D  Grosslein. 

1982.  Food  consumption  by  silver  hake  (Merluccius  bilin- 
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COLTON,  J  B  ,  AND  R  R.  MaRAK. 

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1966.     Applied  Regression  Analysis.     Wiley,  N.Y. 


Ebert,  T  a 

1973.  Estimating  growth  and  mortality  rates  from  size 
data.     Oecologia  11:281-298. 

EssiG.  R.  J  ,  and  C  F.  Cole. 

1986.  Methods  of  estimating  larval  fish  mortality  from 
daily  increments  in  otoliths.  Trans.  Am.  Fish.  Soc. 
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Fahay,  M  P 

1983.  Guide  to  the  early  stages  of  marine  fishes  occurring 
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Geffen,  a  J 

1987.  Methods  of  validating  daily  increment  deposition  in 
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State  Univ.  Press,  Ames. 

Grosslein,  M.  D. 

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Laurence,  G.  C. 

1978.  Comparative  growth,  respiration  and  delayed  feed- 
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7. 
Laurence,  G.  C,  A  S.  Smigielski,  T.  A.  Halavik,  and  B  R 
Burns. 

1981.  Implications  of  direct  competition  between  larval 
cod  (Gadus  morhua)  and  haddock  (Melanogrammus  ae- 
glefinus )  in  laboratory  growth  and  survival  studies  at 
different  food  densities.  In  R.  Lasker  and  K.  Sherman 
(editors).  The  early  life  history  of  fish,  p.  304-311. 
Rapp.  P.-v.  Reun.  Cons.  int.  Explor.  Mer  178. 

Lough,  R.  G.,  G  R.  Bolz,  M.  Pennington,  and  M  D  Grosslein 
1985.  Larval  abundance  and  mortality  of  Atlantic  herring 
(Clupea  harengus  L.)  spawTied  in  the  Georges  Bank  and 
Nantucket  Shoals  areas,  1971-78  seasons,  in  relation  to 
spawning  stock  size.  J.  Northwest  Atl.  Fish.  Sci.  6:21- 
35. 

Lough,  R.  G.,  M.  Pennington,  G  R.  Bolz,  and  A  A  Rosenberg. 

1982.  Age  and  growth  of  larval  Atlantic  herring,  Clupea 
harengus  L.,  in  the  Gulf  of  Maine-Georges  Bank  region 
based  on  otolith  growth  increments.  Fish.  Bull.,  U.S. 
80:187-199. 

Mahon,  R.,  and  J  D  Neilson. 

1987.  Diet  changes  in  Scotian  Shelf  haddock  during 
pelagic  and  demersal  phases  of  the  first  year  of  life. 
Mar.  Ecol.  Prog.  Ser.  37:123-130. 

Messieh,  S.  N.,  D  S  Moore,  and  P.  Rubec. 

1987.  Estimation  of  age  and  growth  of  larval  Atlantic  her- 
ring as  inferred  from  examination  of  daily  growth  incre- 
ments of  otoliths.  In  R.  C.  Summerfelt  and  G.  E.  Hall 
(editors),  Age  and  growth  of  fish,  p.  433-442.  Iowa 
State  Univ.  Press,  Ames. 

Methot, R  D, Jr. 

1983.  Seasonal  variation  in  survival  of  larval  northern 
anchovy,  Engraulis  mordax,  estimated  from  the  age  dis- 
tribution of  juveniles.     Fish.  Bull.,  U.S.  81:741-750. 

MoraleS-Nin,  B. 

1987.  Ultrastructure  of  the  organic  and  inorganic  con- 
stituents of  the  otoliths  of  the  sea  bass.  In  R.  C.  Sum- 
merfelt and  G.  E.  Hall  (editors).  Age  and  growth  offish, 
p.  331-343.     Iowa  State  Univ.  Press,  Ames. 


234 


BOLZ  AND  LOUGH:  GROWTH  OF  ATLANTIC  COD  AND  HADDOCK 


MOSER,  H  G. 

1981.     Morphological  and  functional  aspects  of  marine  fish 
larvae.     In  R.  Lasker  (editor),  Marine  fish  larvae,  p.  90- 
131.     Univ.  Wash.  Press,  Seattle  and  Lond. 
NEILSON,  J.  D.,  AND  G.  H.  Geen. 

1986.     First-year   growth    rate    of  Sixes    River    chinook 
salmon  as  inferred  from  otoliths:  effects  on  mortality  and 
age  at  maturity.     Trans.  Am.  Fish.  Soc.  115:28-33. 
Pennington.  M  R 

1979.  Fitting  a  growth  curve  to  field  data.  In  J.  KOrd., 
G.  P.  Patil,  and  C.  Taillie  (editors).  Statistical  distribu- 
tions in  ecological  work,  p.  419-428.  Int.  Coop.  Publ. 
House,  Fairland,  MD. 

PENTTILA,  J.  A  ,  AND  V.  M.  GiFFORD. 

1976.  Growth  and  mortality  rates  for  cod  from  the 
Georges  Bank  and  Gulf  of  Maine  areas.  Int.  Comm. 
Northwest  Atl.  Fish,  Res.  Bull.  No.  12,  p.  29-36. 

POSGAY.  J   A  ,  AND  R  R  MARAK 

1980.  The  MARMAP  bongo  zooplankton  sampler.  J. 
Northwest  Atl.  Fish.  Sci.  1:91-99. 

Sherman.  K  ,  W  Smith,  W  Morse.  M  Berman,  J  Green,  and 
L.  Ejsymont. 

1984.  Spawning  strategies  of  fishes  in  relation  to  circula- 
tion, phjloplankton  production,  and  pulses  in  zooplank- 
ton off  the  northeastern  United  States.  Mar.  Ecol.  Prog. 
Ser.  18:1-19. 


SiSSENWINE,  M  p. 

1984.  Why  do  fish  populations  vary?  In  R.  May  (editor), 
Exploitation  of  marine  communities,  p.  59-94. 
Springer-Verlag,  N.Y. 

Theilacker,  G  H. 

1980.     Changes  in  body  measurements  of  larval  northern 
anchovy,  Engraulis  mordax,  and  other  fishes  due  to  han- 
dling and  preservation.     Fish.  Bull.,  U.S.  78:685-692. 
Victor,  B.  C. 

1982.     Daily  otolith  increments  and  recruitment  in  two 
coral-reef  wrasses,  Thalassoma  bifasciatum  and  Halicho- 
eres  bivittatus.     Mar.  Biol.  (Berl.)  71:203-208. 
Watabe,  N  .  K.  Tanaka.  J  Yamada,  and  J.  M  Dean. 

1982.     Scanning  electron  microscope  observations  of  the 
organic  matrix  in  the  otolith  of  the  teleost  fish  Fundulus 
heteroclitus  (Linnaeus)  and  Tilapia  nilotica  (Linnaeus). 
J.  Exp.  Mar.  Biol.  Ecol.  58:127-134. 
Wiebe,  P  H  ,  K.  H  Burt,  S  H  Boyd,  and  A  W  Morton. 

1976.     A  multiple  opening/closing  net  and  environmental 
sensing  system  for  sampling  zooplankton.     J.  Mar.  Res. 
34:313-326. 
Wiebe,  P.  H.,  A.  W.  Morton.  A  M  Bradley,  R  H  Backus. 
J.  E.  Craddock,  V  Barber,  T.  J.  Cowles,  and  G  R  Flierl. 

1985.  New  developments  in  the  MOCNESS,  an  apparatus 
for  sampling  zooplankton  and  micronekton.  Mar.  Biol. 
(Berl.)  87:313-323. 


235 


THE  RELATION  BETWEEN  SPAWNING  SEASON  AND 

THE  RECRUITMENT  OF  YOUNG-OF-THE-YEAR  BLUEFISH, 

POMATOMUS  SALTATRIX,  TO  NEW  YORK^ 


Robert  M.  Nyman^  and  David  O  Conover^ 


ABSTRACT 


The  association  between  oceanic  spawning  season  and  the  recruitment  of  young-of-the-year  (YOY) 
bluefish,  Pomatomus  saltatrix,  to  the  inshore  waters  of  New  York  was  studied  by  estimating  the 
spawn  dates  of  recruited  fish  collected  in  the  shore  zone  from  the  number  of  growth  increments  in 
their  otoliths.  Field  collections  on  the  south  shore  of  Long  Island  showed  that  recruitment  of  3-6  cm 
fork  length  fish  occurred  as  a  distinct  pulse  during  the  last  week  of  May  in  1985  and  the  second  week 
of  June  in  1986.  Length-frequency  distributions  were  generally  unimodal  and  most  fish  collected  later 
could  be  attributed  to  this  one  recruitment  episode.  The  frequency  of  otolith  ring  deposition  in  YOY 
bluefish  was  determined  by  marking  the  otoliths  of  field-caged  fish  with  an  injection  of  tetracycline, 
and  then  periodically  subsampling  these  over  the  ensuing  61-day  period.  Regression  analysis  indi- 
cated a  1:1  relation  between  the  number  of  days  since  marking  and  the  number  of  rings  beyond  the 
mark.  Back-calculation  to  the  time  of  first  ring  deposition  revealed  that  field-collected  YOY  bluefish 
from  Long  Island  were  spawned  primarily  in  the  March-April  spawning  season  reported  to  occur 
south  of  Cape  Hatteras.  Relatively  few  fish  were  collected  from  the  summer  spawning  season  that 
reportedly  occurs  in  the  Middle  Atlantic  Bight.  Almost  all  of  these  summer-spawned  fish  were 
collected  from  the  Hudson  River. 


The  bluefish,  Pomatomus  saltatrix,  supports  a 
major  recreational  fishery  along  the  Atlantic 
coast  of  the  United  States.  In  1985,  more  bluefish 
by  weight  were  caught  than  any  other  marine 
fish,  accounting  for  over  24%  of  the  total  marine 
recreational  catch  (U.S.  Department  of  Com- 
merce 1986).  Despite  the  importance  of  bluefish 
to  the  recreational  fishery,  very  little  is  known  of 
its  early  life  history. 

Bluefish  are  found  over  different  portions  of  the 
continental  shelf  from  Florida  to  Nova  Scotia  at 
various  times  of  the  year  (Bigelow  and  Schroeder 
1953;  Wilk  1977;  Gilmore  1985).  Based  on  de- 
scriptions of  the  temporal  and  spatial  abundance 
of  larvae,  Kendall  and  Walford  (1979)  suggested 
that  there  are  primarily  two  distinct  spawning 
periods  and  regions:  a  spring  spawning  in  the 
South  Atlantic  Bight  at  the  edge  of  the  Florida 
Current  (see  also  Collins  and  Stender  1987),  and 
a  summer  spawning  in  the  Middle  Atlantic  Bight 


iContribution  No.  588  of  the  Marine  Sciences  Research  Cen- 
ter, State  University  of  New  York,  Stony  Brook,  NY. 

^Marine  Sciences  Research  Center,  State  University  of  New 
York,  Stony  Brook,  NY  11794-5000;  present  address: 
Chesapeake  Biological  Laboratory,  University  of  Maryland, 
Solomons,  MD  20688. 

^Marine  Sciences  Research  Center,  State  University  of  New 
York,  Stony  Brook,  NY  11794-5000. 


Manuscript  accepted  November  1987. 
FISHERY  BULLETIN;  VOL.  86,  NO.  2,  1988. 


midway  over  the  continental  shelf  (see  also  Morse 
et  al.  1987).  They  further  proposed  that  the 
spring-spawned  larvae  are  transported  north- 
ward in  the  slope  waters  and  then  move  inshore, 
spending  their  first  summer  in  the  bays  and  estu- 
aries of  the  Middle  Atlantic  Bight.  Summer- 
spawned  larvae,  according  to  Kendall  and  Wal- 
ford, spend  their  first  summer  at  sea  or  enter  the 
estuaries  of  the  Middle  Atlantic  Bight  only 
briefly  before  migrating  southward  with  the 
onset  of  winter.  A  minor  spawning  season  extend- 
ing from  September  to  November  off  the  coast  of 
Georgia  and  Florida  (Collins  and  Stender  1987) 
involves  fish  resident  to  the  South  Atlantic  Bight 
(Kendall  and  Walford  1979). 

The  purpose  of  this  study  is  to  evaluate  Kendall 
and  Walford's  hypothesis  by  back-calculating  the 
spawn  dates  of  young-of-the-year  (YOY)  bluefish 
that  have  recruited  to  inshore  waters,  from  the 
number  of  grov^i;h  increments  in  their  otoliths. 
First,  we  describe  the  timing  and  pattern  of  re- 
cruitment of  YOY  bluefish  to  one  segment  of  the 
mid-Atlantic  coastline:  Long  Island,  NY.  If 
spawning  is  episodic,  and  if  YOY  bluefish  from 
each  spavining  period  enter  New  York  waters, 
then  length-frequency  distributions  of  field  col- 
lections should  be  multimodal.  Next,  we  verify 
that  otolith  increment  deposition  has  a  daily  peri- 

237 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


odicity  in  P.  saltatrix.  Finally,  the  spawning  sea- 
son(s)  of  YOY  bluefish  recruiting  to  New  York  is 
determined  by  ageing  and  back-calculating  to  the 
date  of  first  ring  deposition. 

METHODS 

Seine  Collections 

The  temporal  abundance  and  length-frequency 
distribution  of  YOY  bluefish  was  estimated  by 
seining  2-4  times  per  month  from  April  to  Octo- 
ber at  several  sites  on  Long  Island  and  in  the 
Hudson  River  (Fig.  1).  In  1985  and  1986,  three 
sites  in  Great  South  Bay  on  the  south  shore  of 
Long  Island  were  sampled:  Smith  Point  County 
Park,  Fireplace  Neck,  and  the  Carmans  River. 
Seining  was  conducted  with  a  0.6  cm  mesh,  30  m 
net  set  from  shore,  either  on  foot  or  from  a  small 
boat.  Water  temperature  was  recorded  at  each 
site  and  date.  In  1986,  a  site  on  the  north  shore  of 
Long  Island,  Setauket  Harbor,  was  also  sampled. 
A  few  samples  were  taken  in  the  fall  by  angling 
with  rod  and  reel.  All  specimens  were  frozen  for 
later  measurement  of  fork  length  (FL)  and 
weight,  and  extraction  of  otoliths. 

Additional  specimens  captured  in  1986  from 
Jamaica  Bay  and  the  Hudson  River  were  pro- 
vided by  the  New  York  Department  of  Environ- 
mental Conservation  (NYDEC).  Their  sampling 


was  conducted  with  a  60  m  seine  (1.2  cm  mesh)  set 
from  a  boat. 

Otolith  Preparation  and  Analysis 

The  sagittae  were  mounted  concave  side  down 
on  a  glass  microscope  slide  with  cyanoacrylate 
(instant  glue).  Two  layers  of  masking  tape  were 
applied  on  either  side  of  the  otolith.  The  slide  was 
then  turned  upside-down  and  sanded  on  a  strip  of 
wet  1200  grit  wet-dry  sandpaper.  The  masking 
tape  ensured  that  the  otolith  was  sectioned  on  a 
consistent  plane  and  helped  prevent  grinding 
past  the  nucleus.  Once  the  nucleus  was  reached, 
the  otolith  was  polished  on  wet  felt,  using  levi- 
gated alumina  polishing  compound.  Three  repli- 
cate counts  of  each  otolith  were  made  under  a 
Zeiss'*  compound  microscope  with  transmitted  po- 
larized light  at  125-312X.  If  the  three  counts  dif- 
fered by  more  than  10%  (which  occurred  in  about 
1  out  of  every  10  otoliths),  an  additional  count 
was  made  and  the  outlier  discarded.  The  three 
final  counts  were  then  averaged.  The  total  length 
of  each  otolith  was  measured  (nearest  0.1  mm) 
with  a  dissecting  microscope  using  an  ocular 
micrometer. 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


7  4  "loo' 


73°  |00 


i 

N 


SOUTH   BAY 


JAMAICA     BAY 


ATLANTIC    OCEAN 


73°]00' 


72  °|00' 


Figure  1. — Map  of  the  study  area  with  sampling  locations  cis  indicated. 


238 


NYMAN  and  CONOVER:  YOUNG-OF-THE-YEAR  BLUEFISH 


Frequency  of  Ring  Deposition 

The  frequency  of  growth  ring  deposition  was 
determined  by  marking  the  otoliths  of  fish  with 
tetracycline  and  then  subsampling  the  marked 
fish  at  various  periods  of  time  thereafter  (Cam- 
pana  and  Neilson  1982).  Sixty  YOY  bluefish  (7- 
10  cm  FL)  were  captured  by  seine  in  Flax  Pond, 
Old  Field,  NY  (Fig.  1)  and  were  transported  to  the 
Flax  Pond  Laboratory  of  SUNY  Stony  Brook.  The 
fish  were  anesthetized  in  a  solution  of  MS-222  (30 
mg/L)  and  given  an  intraperitoneal  injection  of 
tetracycline  (100  mg/kg  offish).  After  injection, 
all  fish  were  placed  in  a  1.3  x  1.3  m  cylindrical 
floating  cage  constructed  out  of  5  mm  plastic 
mesh  and  anchored  in  Flax  Pond.  The  fish  were 
fed  chopped  Menidia  menidia  twice  a  day,  and 
dead  bluefish  were  removed  daily.  Samples  of  5- 
10  healthy  fish  were  periodically  taken  from  the 
cage  using  a  dip  net  and  frozen  until  the  otoliths 
could  be  excised.  The  experiment  was  terminated 
61  days  after  the  injections. 

After  preparation  as  described  above,  the 
tetracycline-treated  otoliths  were  viewed  on  a 
Zeiss  compound  microscope  using  reflected  ultra- 
violet (UV)  light  at  160-400 X.  Tetracycline  fluo- 
resces upon  exposure  to  UV  light,  thus  enabling 
the  location  of  the  marked  ring  to  be  determined. 
The  UV  light  was  then  turned  off,  and  the  num- 
ber of  rings  from  the  mark  to  the  edge  of  the 
otolith  was  counted  under  transmitted  white 
light.  Each  otolith  preparation  was  coded  so  that 
the  reader  did  not  know  the  true  age.  Three  repli- 
cate counts  were  conducted  on  each  otolith. 

RESULTS 

Temporal  Abundance  and  Length 
Frequency 

Great  South  Bay 

The  appearance  of  YOY  bluefish  in  the  shore 
zone  was  abrupt  in  both  years  of  the  study.  In 
1985,  no  YOY  bluefish  were  caught  in  weekly 
samples  until  28  May  when  a  catch  per  unit  effort 
(CPUE  =  no.  fish  per  seine  haul)  of  14.0  was 
recorded  (Fig.  2a).  Corresponding  water  tempera- 
ture was  about  20°C.  CPUE  declined  steadily 
thereafter  through  October  with  two  exceptions: 
the  large  collections  on  10  and  28  July  were  each 
due  to  an  unusually  large  number  offish  in  single 
seine  hauls  in  the  Carmans  River.  In  1986,  YOY 
bluefish  were  first  caught  on  10  June  when  the 


water  temperature  was  24°C.  The  maximum 
CPUE  (45.3)  was  obtained  on  16  June  and  was 
followed  by  a  decrease  in  CPUE  in  subsequent 
collections  (Fig.  2b). 

Length-frequency  distributions  in  1985  showed 
the  progression  of  a  single  mode  through  mid- 
August  (Fig.  3a).  Newly  recruited  fish  in  late  May 
were  3-6  cm  FL.  Subsequent  samples  showed  an 
increase  in  the  mean  and  range  of  fish  lengths, 
probably  due  to  somatic  growi;h  of  the  initial  re- 
cruits. There  was  no  evidence  of  new  3-6  cm  re- 
cruits entering  the  shore  zone  later  in  the  year 
(Fig.  3a).  Although  seining  continued  until 
November,  very  few  YOY  bluefish  were  caught 
after  August.  An  additional  sample  {n  =  8)  taken 
on  16  September  by  angling  from  a  pier  on  Great 
South  Bay  had  a  mean  fork  length  of  17.8  cm  and 
a  range  of  14.6-19.5  cm.  Length-frequency  data 
from  1986  (Fig.  3b)  show  a  very  similar  pattern  to 
that  in  1985:  a  single  length  mode  appears  in 
June  and  these  fish  increase  in  size  through  the 
summer.  Few  YOY  bluefish  were  caught  in  Au- 
gust, September,  or  October. 

Size  at  recruitment  to  the  shore  zone  was  simi- 
lar in  both  years  of  our  study:  mean  length  of  the 
1985  and  1986  year  classes  at  first  appearance  in 
the  shore  zone  was  4.6  and  4.5  cm  respectively 
(Fig.  4).  However,  because  the  1986  year  class 
first  appeared  in  the  shore  zone  two  weeks  later 
than  did  the  1985  year  class  (Fig.  2),  the  mean 
lengths  of  1986  year  class  were  less  than  those  of 
1985  on  comparable  dates  in  June  and  early  July. 
By  mid-July,  however,  this  difference  in  mean 
length  of  the  two  year  classes  was  no  longer  ap- 
parent. Both  year  classes  reached  a  size  of  about 
13-14  cm  by  late  August  when  they  rarely  ap- 
peared in  our  seine  collections. 

Setauket  Harbor 

In  1986,  the  YOY  bluefish  did  not  appear  on  the 
north  shore  of  Long  Island  at  Setauket  Harbor 
until  3-6  weeks  after  they  first  appeared  in  Great 
South  Bay.  Collections  at  Setauket  Harbor  were 
small  at  first  with  only  one  individual  being 
caught  on  1  July  and  three  on  8  July.  It  was  not 
until  22  July  that  catches  similar  in  number  to 
those  in  Great  South  Bay  were  being  obtained. 
These  fish  had  similar  mean  lengths  (10.2  cm, 
n  =  87,  on  22  July;  11.9  cm,  n  =  22,  on  5  August; 
13.9  cm,  n  =  17,  on  20  August)  to  those  on  com- 
parable dates  from  Great  South  Bay  (of.  Fig.  4). 
Length-frequency  distributions  by  date  were  uni- 
modal. 


239 


a. 


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UJ 


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X 

^     12 


UJ 
CL 

a 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


(12) 


(2) 


-(2)(2)(4)(3) 
0    0   0   0 


(3) 


(13) 


T 


(7) 


(9) 


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(7) 


3) 


(7) 


(7) 


(10) 
(6)  0 


MAY 


1  \ 1 

JUNE      JULY         AUG        SEPT  OCT 


FlGlTRE  2.— Catch  per  unit  effort  (CPUE)  of  YOY  bluefish  from 
Great  South  Bay,  NY,  plotted  with  the  mean  water  temperature 


Jamaica  Bay  and  the  Hudson  River 

The  length-frequency  distributions  of  YOY 
bluefish  from  Jamaica  Bay  in  June,  July,  and 
August  were  similar  to  those  from  Great  South 
Bay  (Fig.  5).  Fish  lengths  in  June  were  unimodal. 
Subsequent  collections  contained  progressively 
larger  fish  that  were  also  unimodal  in  length  dis- 
tribution. 

Sampling  in  the  Hudson  River  began  on  16 
July  1986  and  continued  through  8  October.  The 
size  ranges  of  YOY  bluefish  in  the  July  and  Au- 
gust samples  were  similar  to  those  from  Great 
South  Bay,  although  the  length  distribution  on  30 
July  appears  bimodal  (Fig.  6).  The  length  distri- 
butions from  the  10  and  23  September  collections 
were  especially  broad.  In  particular,  the  23  Sep- 
tember sample  contained  a  group  offish  that  were 
much  smaller  (10-14  cm  FL)  than  the  mean  size 
at  this  time  in  Great  South  Bay  (Fig.  4),  together 
with  a  second  group  of  larger  fish  that  correspond 
more  closely  in  size  with  those  collected  else- 
where (18-24  cm). 


Frequency  of  Ring  Deposition 

In  tetracycline-injected  YOY  bluefish,  the 
number  of  rings  beyond  the  tetracycline  mark  (Y) 
and  the  number  of  days  after  injection  (X)  had  a 
1:1  correspondence  (Fig.  7).  The  relationship  was 
described  by  the  equation  Y  =  0.97 LY  -  0.287 
in  =  27,  r  =  0.996).  The  slope  did  not  differ  signif- 
icantly from  1.0  (^test,  P  >  0.1). 

Growth  rate  of  the  caged  fish  was  slightly 
greater  than  that  of  field  fish  and  survival  was 
high  (80%)  with  mortalities  occurring  only  in  the 
first  few  days  of  the  61-d  experiment.  The  in- 
crease in  mean  fork  length  was  1.7  mm/day 
among  the  caged  fish,  as  compared  with  about  1.3 
mm/day  for  fish  from  field  collections  during  the 
same  time  period  (Fig.  4).  Hence,  the  caged  fish 
did  not  appeEir  to  be  adversely  affected  by  confine- 
ment. 


240 


NYMAN  and  CONOVER:  YOUNG-OF-THE-YEAR  BLUEFISH 

b.     '°'- 


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a.    22 


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JULY  AUG         SEPT  OCT 


Figure   2. — Continued — on  each   sampling  date,     (a)    1985; 
(b)  1986.     Number  of  seine  hauls  is  in  (). 


Back-Calculated  Date  of 
First  Ring  Deposition 

A  representative  sample  of  169  YOY  bluefish 
(n  -  88  from  1985,  n  =  81  from  1986)  captured  in 
Great  South  Bay  were  aged  by  counting  the  total 
number  of  otolith  rings.  The  date  of  first  ring 
deposition  for  each  aged  fish  was  then  calculated 
based  on  the  date  of  capture.  In  both  1985  and 
1986,  the  dates  of  first  ring  deposition  for  YOY 
bluefish  were  predominantly  in  March  and  April 
(Fig.  8a,  b). 

Four  fish  from  each  of  the  two  apparent  length 
modes  in  the  30  July  collection  from  the  Hudson 
River  (Fig.  6)  were  aged  to  determine  if  these 
represented  a  difference  in  spawning  season.  The 
fish  examined  were  7.8—13.8  cm  in  size,  and  back- 
calculated  dates  of  first  ring  deposition  extended 
from  7  to  30  April.  Hence,  these  fish  could  all  be 


attributed  to  the  same  spring  spawning  period  as 
those  from  the  south  shore  of  Long  Island. 

However,  YOY  bluefish  from  the  smaller  (10- 
14  cm)  size  class  caught  on  23  September  in  the 
Hudson  River  (Fig.  6)  were  also  aged  and  their 
back-calculated  dates  of  first  ring  deposition  were 
found  to  be  predominantly  in  June  and  July,  and 
to  a  lesser  extent  in  May  (Fig.  8c).  These  dates 
differed  greatly  from  those  offish  captured  earlier 
in  the  year  in  the  Hudson  River,  and  along  the 
south  shore  of  Long  Island. 

The  relationship  of  ring  number  and  fork 
length  for  each  year  was  best  described  by  the 
following  equations:  Y  =  132.308X  -  29.890  in 
1985  and  Y  =  95.532X  +  1.186  in  1986,  where  X 
is  log  fork  length  and  Y  is  the  number  of  rings 
(Fig.  9).  The  slopes  of  these  regressions  differed 
significantly  (ANCOVA,  P  <  0.001).  Total  otolith 
length  and  fork  length  were  highly  correlated 
(r  >  0.99)  and  increased  isometrically.  Total 
otolith  length  and  ring  number  also  had  a  high 
correlation  (r  =  0.91). 


241 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


a. 


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FORK   LENGTH   (cm) 


Figure  3.— Length-frequency  histograms  for  YOY  bluefish  (no.)  from  Great  South  Bay,  NY.     (a)  1985;  (b)  1986. 


242 


NYMAN  and  CONOVER: 

YOUNG-OF-THE-YEAR  BLUEFISH 

20 

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UJ 

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1                                 1                                 1 

JUNE 

JULY 

AUG                     SEPT 

DATE 

OF 

COLLECTION 

Figure  4. — Mean  fork  length  (cm)  of  YOY  bluefish  (no.)  captured  with  a  beach  seine  in 
Great  South  Bay  in  1985  and  1986.  Vertical  bars  are  95%  confidence  intervals.  The  last 
sample  in  1986  was  caught  by  angling. 


60 


5 


01   AUG 


3       6       9       12      15      18     21      24         3       6      9       12      15      18     21      24 

FORK    LENGTH    (cm) 

Figure  5. — Length-frequency  distributions  for  YOY  bluefish  (no.)  fi^m  Jamaica  Bay,  NY,  1986. 


243 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


10 


30  JULY 


*T*- -T 


13  AUG 


•  f "-y 


0  SEPT 


.uIL 


ii  iJ  I 


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FORK    LENGTH    (cm) 


The  analysis  was  then  expanded  to  the  remain- 
ing samples  of  YOY  bluefish  from  Great  South 
Bay  that  had  not  been  aged.  The  above  length-age 
equations  were  used  to  estimate  date  of  first  ring 
deposition  from  the  dates  of  capture  for  all  YOY 
captured  in  each  year  of  sampling  from  Great 
South  Bay.  This  exercise  revealed  that  the  vast 
majority  of  YOY  bluefish  in  our  collections  from 
Long  Island  had  dates  of  first  ring  deposition  in 
late  March,  April,  and  early  May  (Fig.  10).  The 
weighted  mean  date  of  first  ring  deposition  was  8 
April  1985  and  14  April  1986. 

The  age-length  equations  for  YOY  bluefish 
from  Great  South  Bay  were  not  applied  to  collec- 
tions from  Jamaica  Bay  or  the  Hudson  River.  Pre- 
liminary analyses  suggested  that  the  age-length 
equation  for  fish  from  the  Hudson  River  differs 
substantially  from  those  in  Great  South  Bay, 
probably  owing  to  a  difference  in  growth  rate. 
Geographic  variation  in  the  pattern  of  recruit- 
ment and  in  the  age-length  relationships  of  YOY 
bluefish  are  being  further  investigated. 

DISCUSSION 

Recruitment  of  YOY  Bluefish 
to  New  York 

In  both  1985  and  1986,  the  arrival  of  YOY  blue- 
fish on  the  south  shore  of  Long  Island  was  abrupt. 
Within  about  a  1-wk  period,  CPUE  went  from  0.0 
to  14-18  fish/seine  haul.  CPUE  then  remained 
high  for  the  next  two  months  until  declining  in 
August  and  September  when  the  fish  probably 
became  too  large  to  be  efficiently  sampled  by  our 
techniques.  These  data  suggest  that  the  YOY 
bluefish  recruit  to  the  shore  zone  as  a  sudden 
pulse.  The  timing  of  this  recruitment  event  is  ap- 
parently variable,  differing  by  about  two  weeks 
among  the  two  years  of  our  study.  The  appear- 
ance of  fish  3-6  weeks  earlier  on  the  south  shore 
(Great  South  Bay)  than  on  the  north  shore  (Se- 
tauket  Harbor)  of  Long  Island  suggested  that 
these  fish  arrive  from  offshore  waters  to  the 
south. 

Temperature  probably  influenced  the  time  of 
arrival  of  YOY  bluefish  in  the  shore  zone.  In  both 
years  of  our  study,  YOY  bluefish  appeared  as 
temperatures  reached  about  20°-24°C.  In  Octo- 
ber, after  temperatures  dropped  to  the  middle 


Figure  6. — Length-frequency  distributions  for  YOY  bluefish 
(no.)  from  the  Hudson  River,  NY,  1986. 


244 


NYMAN  and  CONOVER:  YOUNG-OF-THE-YEAR  BLUEFISH 


Figure  7. — Relation  between  number  of  days 
since  marking  with  tetracycline  and  the  number 
of  growth  increments  beyond  the  mark  in  YOY 
bluefish  maintained  in  a  field  cage. 


q: 

< 
2 


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UJ 
CD 

(n 

I- 
z 

UJ 


70 


60 


50 


40  - 


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z 

10 


Y=  0.97IX-  0.287 


r  =  0.996 


1 


1 


1 


1 


1 


10        20        30        40        50        60 
DAYS  SINCE  INITIAL   MARKING 


70 


O 
UJ 

o 

UJ 

on 
u. 


Figure  8. — Back-calculated  date  of  first  ring  deposi- 
tion for  YOY  bluefish  (no.)  as  determined  by  count- 
ing daily  growth  rings,  (a)  and  (b)  represent  fish 
from  Great  South  Bay  in  1985  and  1986,  respec- 
tively, (c)  is  for  fish  seined  from  the  Hudson  River 
on  23  September  1986. 


MAR    APR   MAY    JUN   JUL       MAR    APR   MAY    JUN   JUL 

DATE   OF    FIRST    RING    DEPOSITION 

245 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


180    - 

160    - 

■ 

140    - 

■ 

Ul 
CD 
Z 
1 — 1 

cr 

Ll 

o 

o 
z 

120    - 
100    - 
80    - 
60    - 
40    - 
20    - 

1986 

X 

■  Xx  ,      X    %^^f0^ 

1985 

**^         ^       X 

^x 

■  1985 
X  1986 

0   - 

1 

1              1              1              1              r 1 

0.4  0.6  0.8  10  12 

LOG^O    FORK    LENGTH     (cm) 

Figure  9. — Relation  between  log  fork  length  (X)  and  number  of  otolith  rings  (7)  for  YOY 
bluefish  from  Great  South  Bay,  NY.  The  regression  equations  are  7  =  132.308X  -  29.890 
(n  =  88)  for  1985  and  y  =  95.532A:  +  1.186  (n  =  81)  in  1986. 


teens,  we  no  longer  captured  YOY  bluefish.  Oben 
(1957)  noted  that  in  the  Black  Sea,  YOY  bluefish 
appeared  in  the  shore  zone  at  temperatures  of 
18°-24.5°C,  and  left  the  shore  zone  in  October  and 
November  when  temperatures  dropped  to  13°- 
15°C. 

Length-frequency  distributions  of  YOY  blue- 
fish from  the  south  shore  samples  showed  only  a 
single  mode  that  attained  progressively  larger 
size  through  the  summer  and  fall,  and  corre- 
sponded to  the  initial  recruitment  offish.  If  multi- 
ple spawning  and  recruitment  events  contributed 
YOY  bluefish  to  Long  Island,  multimodal  length- 
frequency  distributions  should  have  been  ob- 
served. The  unimodal  distributions  suggested 
that  only  one  spawning  period  contributed  the 
majority  of  YOY  bluefish  to  Long  Island. 

Interannual  variation  in  the  length-age  rela- 
tionship of  YOY  bluefish  was  observed.  Although 
recruitment  occurred  two  weeks  earlier  in  1985 
than  in  1986,  the  empirical  mean  lengths  at  re- 
cruitment were  similar  (Fig.  4).  Postrecruitment 
growth,  however,  was  slower  in  1985  than  1986  so 
that  empirical  mean  lengths  became  similar  by 
mid-July.  Correspondingly,  the  slope  of  the 
length-age  regressions  differed  significantly 
among  years:  YOY  bluefish  at  an  age  of  about 
50-70  days  had  greater  fork  lengths  in  1985  than 


in  1986  (Fig.  9),  but  the  reverse  was  true  among 
older,  larger  fish.  Apparently,  the  growth  rate  of 
YOY  bluefish  prior  to  recruitment  was  higher  in 
1985  than  1986,  but  this  pattern  among  the  two 
years  was  reversed  during  the  period  of  postre- 
cruitment growth. 

Validation  of  Daily  Otolith  Rings 

Our  experimental  results  demonstrate  that 
otolith  ring  deposition  is  daily  in  YOY  bluefish.  A 
regression  slope  of  0.971  indicates  a  one-to-one 
correspondence  between  number  of  days  after  in- 
jection and  the  number  of  rings  beyond  the  tetra- 
cycline mark.  This  outcome  is  not  particularly 
surprising  because  numerous  studies  have  shown 
that  increment  production  is  daily,  particularly 
in  the  early  life  history  when  somatic  growth  is 
rapid  (Brothers  et  al.  1976;  Campana  and  Neilson 
1985;  Jones  1985).  Cases  where  ring  periodicity  is 
reportedly  less-than-daily  have  involved  subopti- 
mal  growing  conditions  (Geffen  1982,  1987;  Rice 
et  al.  1985).  In  our  study,  the  confinement  of  YOY 
bluefish  in  a  field  cage  apparently  had  little  effect 
on  growth  rate,  or  the  production  of  daily  growth 
increments.  The  field  cage  allowed  for  natural 
light,  temperature,  and  salinity  variations  that 
the  fish  would  normally  have  experienced  in  na- 


246 


NYMAN  and  CONOVER:  YOUNG-OF-THE-YEAR  BLUEFISH 


O 


u 

c: 

CD 

Z) 

cr 

QJ 


o 


u 

d 

CD 
Z) 
O" 
QJ 


30 


20 


10 


0 

60 


50    - 


40    - 


30    - 


20    - 


10    - 


0 


150 


180 


Julian  Date  of  First  Ring  Deposition 


Figure  10. — Estimated  date  of  first  ring  deposition  for  all  YOY  bluefish  caught  in  Great 
South  Bay  in  1985  (n  =  561)  and  in  1986  {n  =  868)  using  the  respective  age-length  equa- 
tions in  Fig.  9. 


ture.  Feeding  periodicity  was  probably  the  pri- 
mary artifact  of  confinement  that  could  have  af- 
fected the  rate  of  ring  production  in  caged  fish. 
However,  Marshall  and  Parker  (1982)  showed 
that  feeding  periodicity  did  not  significantly  af- 
fect ring  production  in  sockeye  salmon, 
Oncorhynchus  nerka. 

We  were  unable  to  determine  directly  the  num- 
ber of  days  between  spawning  and  first  ring  depo- 
sition because  numerous  attempts  to  capture 
running-ripe  females  for  initiating  experiments 


on  eggs  and  larvae  were  unsuccessful.  However, 
most  species  of  fish  deposit  the  first  daily  growth 
increment  within  a  few  days  of  hatching  (Broth- 
ers et  al.  1976;  Radtke  and  Dean  1982;  McGurk 
1984;  Radtke  1984;  Davis  et  al.  1985).  Recent  ev- 
idence suggests  this  is  also  true  in  bluefish.  Lar- 
vae captured  off  Long  Island  in  1987  had  about 
seven  otolith  increments  at  a  total  body  length  of 
4-5  mm  (R.  K.  Cowen  and  D.  O.  Conover,  unpubl. 
data).  Based  on  the  rate  of  development  at  20°C  in 
the  laboratory  observed  by  Deuel  et  al.  (1966), 


247 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


larvae  would  reach  this  size  in  about  5-7  days 
posthatch.  If  so,  first  ring  deposition  would 
roughly  coincide  with  hatching.  Bluefish  hatch  in 
48  hours  at  20°C  (Deuel  et  al.  1966),  so  the  day  of 
first  ring  deposition  probably  follows  the  date  of 
spawning  by  about  2-4  days. 

Spawning  Seasons 
Along  the  Atlantic  Coast 

Published  studies  of  larval  bluefish  distribu- 
tions along  the  Atlantic  coast  suggest  the  exis- 
tence of  three  temporally  and  spatially  distinct 
spawning  seasons:  spring  and  fall  spawning  sea- 
sons in  the  South  Atlantic  Bight  and  a  midsum- 
mer spawning  in  the  Middle  Atlantic  Bight.  In 
the  only  synoptic  study  covering  most  of  the  U.S. 
east  coast,  Kendall  and  Walford  (1979)  described 
two  periods  of  high  larval  abundance:  One  peak 
occurred  in  March  and  April  on  the  outer  shelf  of 
the  South  Atlantic  Bight,  and  the  other  peak  was 
in  July  and  August  midway  over  the  continental 
shelf  of  the  Middle  Atlantic  Bight.  Subsequently, 
Powles  (1981)  and  Collins  and  Stender  (1987)  also 
found  the  highest  abundance  of  bluefish  larvae  in 
the  South  Atlantic  Bight  (Cape  Canaveral  to 
Cape  Fear)  to  be  in  April  and  May.  Collins  and 
Stender,  however,  noted  the  existence  of  a  lesser 
peak  in  larval  abundance  during  September- 
November.  This  fall  spawning  season  in  the 
South  Atlantic  Bight  was  further  confirmed  by 
Finucane  and  Collins  (in  press)  based  on  the 
gonad  condition  of  bluefish  from  Georgia  and  the 
Carolinas.  In  the  Middle  Atlantic  Bight  off  Vir- 
ginia, Norcross  et  al.  (1974)  found  that  eggs  and 
larvae  of  bluefish  first  appeared  in  June,  peaked 
in  abundance  in  July,  and  persisted  into  August. 
Similar  observations  on  the  timing  of  the  summer 
spawning  season  in  the  Middle  Atlantic  Bight 
were  presented  by  Sherman  et  al.  (1984)  and 
Morse  et  al.  (1987). 

Lassiter  (1962)  provided  additional  evidence 
of  the  existence  of  relatively  discrete  spawning 
seasons  in  bluefish.  He  showed  that  the  dis- 
tribution of  back-calculated  lengths  at  age  one 
has  a  distinctly  bimodal  pattern  among  adult 
fish  from  North  Carolina.  Size  at  age  1  tended 
to  be  either  about  14  cm  or  28  cm.  Lassiter 
showed  that  the  bimodal  pattern  could  not  be 
explained  as  a  difference  in  growth  rate,  and 
suggested  that  there  must  be  two  distinct 
spawning  seasons  such  that  one  group  of  fish  had 
a  first  growing  season  about  twice  as  long  as  the 
other. 


Spawn  Dates  of  YOY  Bluefish 
from  New  York 

Back-calculation  to  the  day  of  first  ring  deposi- 
tion for  YOY  bluefish  recruiting  to  Great  South 
Bay  in  1985  and  1986  demonstrated  that  these 
fish  were  spawned  primarily  in  March  and  April 
(Figs.  8,  10).  Fish  that  were  spawned  in  July- 
August  were  rarely  captured  by  us  on  Long  Island 
in  1985  or  1986,  despite  continued  sampling  into 
October. 

Recruitment  to  Jamaica  Bay  and  the  Hudson 
River  in  July  and  August  1986  involved  YOY 
bluefish  of  about  the  same  size  as  those  fi-om 
Great  South  Bay.  Though  the  size  range  of  fish 
fi-om  the  Hudson  was  slightly  greater  than  those 
from  Long  Island,  fish  aged  from  each  of  the  two 
modes  appearing  in  the  July  Hudson  River  sam- 
ples (Fig.  6)  were  all  spawned  during  April  within 
about  three  weeks  of  each  other.  The  apparent 
bimodality  in  July  is  probably  a  sampling  arti- 
fact. Hence,  Jamaica  Bay  and  Hudson  River  fish 
collected  in  July  and  August  can  be  attributed  to 
the  same  spawning  season  as  those  fi^om  Great 
South  Bay. 

Length-frequency  distributions  ft"om  the  Hud- 
son River  in  September,  however,  contained  a 
group  of  unusually  small  bluefish,  and  back- 
calculation  showed  that  they  were  spawned  pre- 
dominately in  June  and  July  (Fig.  8c).  These  fish 
probably  resulted  fi-om  the  summer  spawning 
season  in  the  Middle  Atlantic  Bight.  Examina- 
tion of  gonads  from  adult  fish  captured  during 
1986  suggested  that  the  running-ripe  males  and 
mature  females  were  most  abundant  during  late 
June  and  July  off  Long  Island  (L.  Chiarella  and 
D.  O.  Conover,  unpubl.  data).  Hence,  at  least, 
some  summer-spawned  YOY  bluefish  do  recruit 
to  the  shore  zone  of  the  Middle  Atlantic  Bight. 
They  were,  however,  much  less  abundant  than 
spring-spawned  YOY  bluefish  in  our  1985  or  1986 
samples. 

Spawning  by  bluefish  in  the  spring  is  known  to 
occur  only  in  the  South  Atlantic  Bight  (Kendall 
and  Walford  1979;  Collins  and  Stender  1987). 
Water  temperatures  over  the  shelf  north  of  Cape 
Hatteras  are  probably  too  low  for  bluefish  to 
spawn  in  March  and  April:  average  shelf  water 
temperatures  in  the  Middle  Atlantic  Bight  range 
from  5°  to  14°C  in  March  and  April  (Ingham 
1986).  Virtually  no  eggs  and  larvae  (Morse  et  al. 
1987)  and  comparatively  few  adult  bluefish 
(Gilmore  1985)  are  captured  in  plankton  or  trawl 
surveys  north  of  Cape  Hatteras  in  March  and 


248 


NYMAN  and  CONOVER:  YOUNG-OF-THE-YEAR  BLUEFISH 


April.  Moreover,  the  time  of  arrival  of  YOY  blue- 
fish  on  Long  Island  actually  precedes  the  summer 
spawning  season  in  the  Middle  Atlantic  Bight. 
We  therefore  conclude  that  YOY  bluefish  recruit- 
ing to  the  Middle  Atlantic  Bight  in  late  spring 
come  from  spawnings  in  the  South  Atlantic 
Bight. 

Larval  Transport 

The  physical  mechanisms  that  account  for  the 
transport  of  bluefish  larvae  fi"om  the  South  At- 
lantic Bight  to  New  York  are  not  clear.  Spawning 
in  the  South  Atlantic  Bight  occurs  primarily  over 
the  outer  half  of  the  continental  shelf  (Powles 
1981;  Collins  and  Stender  1987),  and  some  larvae 
may  be  entrained  by  the  Gulf  Stream  and  carried 
northward  into  the  slope  waters  of  the  Middle 
Atlantic  Bight  (Kendall  and  Walford  1979). 
Neuston  net  collections  in  April  have  shown  that 
bluefish  larvae  are  periodically  abundant  on  both 
sides  of  the  Gulf  Stream-shelf  water  interface  off 
Cape  Hatteras  (Kendall  and  Walford  1979). 
Collins  and  Stender  (1987)  found  a  negative  cor- 
relation between  larval  size  and  latitude  in  the 
South  Atlantic,  but  their  sampling  may  not  have 
extended  far  enough  north  (i.e.,  they  did  not  sam- 
ple above  Cape  Fear). 

If  the  Gulf  Stream  is  responsible  for  the  north- 
ward transport,  a  mechanism  by  which  larvae 
avoid  being  advected  too  far  offshore  would  ap- 
pear to  be  necessary.  According  to  our  results,  the 
interval  between  spawning  and  recruitment  to 
Long  Island  is  about  45-60  days,  whereas  the 
surface  flow  of  the  Gulf  Stream  at  lat.  36°N  is 
about  104  km/day  (Iselin  1936).  Hence,  larvae  re- 
maining in  the  Gulf  Stream  for  an  extended  pe- 
riod would  be  transported  far  off  the  shelf.  Reten- 
tion near  the  shelf  could  be  achieved  by  entering 
the  slope  waters  at  an  appropriate  time. 

The  abrupt  appearance  of  YOY  bluefish  in  the 
shore  zone  suggests  that  the  onshore  migration  is 
a  temporally  distinct  event,  perhaps  triggered  by 
vernal  warming  of  the  shelf.  Because  the  circula- 
tion of  the  slope  and  shelf  waters  of  the  Middle 
Atlantic  Bight  is  toward  the  southwest  (Sherman 
et  al.  1984),  the  cross-shelf  migration  must  to 
some  extent  involve  active  swimming. 

Very  few  summer-spawned  YOY  bluefish  were 
captured  in  our  study.  This  may  not  be  surpris- 
ing, however,  because  the  prevailing  currents 
over  the  midshelf  off  Long  Island  would  carry  lar- 
vae to  the  southwest.  If  so,  summer-spawned  fish 
would  be  found  along  the  coast  fi"om  approxi- 


mately New  Jersey  to  Cape  Hatteras.  We  caution, 
however,  against  any  general  conclusion  concern- 
ing the  lack  of  summer-spawned  fish  in  New 
York.  There  could,  for  example,  be  substantial 
year-to-year  variation  in  the  recruitment  level  of 
spring-  and  summer-spawned  fish  along  any  par- 
ticular segment  of  the  U.S.  coast.  These  issues  are 
now  being  examined  by  extending  our  sampling 
to  southern  latitudes. 

ACKNOWLEDGMENTS 

We  thank  Robert  Cerrato,  Robert  K.  Cowen, 
and  Peter  Woodhead  for  reviewing  the  manu- 
script and  Stephen  Heins,  Melanie  Meade  and 
Louis  Chiarella  for  assistance  in  the  field.  Byron 
Young  and  Kim  McKown  of  the  NYDEC  gra- 
ciously provided  samples  from  the  Hudson  River 
and  Jamaica  Bay.  An  earlier  version  of  this  paper 
was  submitted  by  R.M.N,  to  the  Graduate  School 
of  the  State  University  of  New  York  at  Stony 
Brook  in  partial  fulfillment  of  the  requirements 
for  an  M.S.  degree  in  Marine  Environmental  Sci- 
ences. Initial  funding  was  provided  by  grants 
from  the  Sport  Fishery  Research  Foundation 
(D.O.C./R.M.N.)  and  the  Montauk  Marine  Basin. 
Later  funding  was  provided  by  grants  to  D.O.C. 
fi-om  the  NYDEC  through  the  Dingell-Johnson 
Federal  Aid  in  Sport  Fish  Restoration  Act  and 
by  the  New  York  Sea  Grant  Institute  through 
the  NOAA  Office  of  Sea  Grant,  U.S.  Department 
of  Commerce,  under  Grant  No.  NA86AA-D- 
SG045. 

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1976.    Daily  growth  increments  in  otoliths  from  larval  and 
adult  fishes.     Fish.  Bull.,  U.S.  74:1-8. 
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1982.  Daily  growth  increments  in  otoliths  of  starry  floun- 
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Aquat.  Sci.  39:937-942. 
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1987.     Larval    king    mackerel    Scomberomorus    cavalla, 
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1982.  Otolith  ring  deposition  in  relation  to  growth  rate  in 
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Gilmore,  J. 

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Ingham,  M  C 

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Jones,  C.  J. 

1985.     Determining  age  of  larval  fish  with  the  otolith  in- 
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1979.     Sources  and  distribution  of  bluefish,  Pomatomus 
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1962.     Life  history  aspects  of  the  bluefish,  Pomatomus 
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Marshall.  S  L  ,  and  S.  S.  Parker. 

1982.     Pattern  identification  in  the  microstructure  of  sock- 
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1984.  Ring  deposition  in  the  otoliths  of  larval  Pacific  her- 
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Morse,  W  W  ,  M  P  Fahay,  and  W.  G.  Smith 

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Joseph 

1974.     Development  of  young  bluefish  (.Pomatomus  salta- 
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Radtke,  R  L 

1984.  Formation  and  structural  composition  of  larval 
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191. 

Radtke,  R  L.,  and  J  M  Dean. 

1982.  Increment  formation  in  the  otoliths  of  embryos,  lar- 
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Rice,  J  A ,  L  B  Crowder.  and  F  P  Binkowski. 

1985.  Evaluating  otolith  analysis  for  bloater  Coregonus 
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114:532-539. 

Sherman,  K  ,  W.  Smith,  W  Morse,  M  Berman,  J  Green,  and 

L  EllSYMONT. 

1984.     Spawning  strategies  of  fishes  in  relation  to  circula- 
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WILK,  S  J 

1977.  Biological  £md  fisheries  data  on  bluefish,  Po- 
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250 


ON  THE  ROLE  OF  FOOD-SEEKING  IN  THE  SUPRABENTHIC  HABIT 
OF  LARVAL  WHITE  CROAKER,  GENYONEMUS  LINEATUS 

(PISCES:  SCIAENIDAE) 

A.  E.  Jahn,  D.  M  Gadomski,  and  M.  L  Sowby' 

ABSTRACT 

Fish  larvae  and  their  prey  were  sampled  from  discrete  depths  within  the  bottom  meter  and  at 
middepth  near  the  15  m  depth  contour  off  southern  California.  The  smallest  white  croaker  larvae 
(<2.7  mm  NL)  occurred  mostly  at  middepth.  Mid-sized  larvae  (2.7  mm  to  the  beginning  of  flexion) 
were  almost  all  collected  at  the  two  depths  nearest  the  bottom.  All  preflexion-stage  larvae  ate  small 
(50-300  (im  in  length)  prey,  chiefly  rotifers,  copepod  nauplii,  tintinnids,  and  invertebrate  eggs. 
Although  small  and  mid-size  larvae  ate  these  items  in  different  proportions,  this  difference  could  not 
be  ascribed  to  vertical  distribution.  Diet  of  the  largest  larvae,  flexion  and  postflexion  (roughly  5-15 
mm),  consisted  mainly  of  copepods  and  differed  by  >90%  from  diets  of  smaller  larvae.  Though  largest 
larvae  were  only  captured  50  cm  above  the  bottom,  their  prey,  with  one  exception  (amphipods),  were 
more  abundant  at  or  above  1  m.  It  was  concluded  that  the  observed  suprabenthic  concentration  of 
older  white  croaker  larvae  was  probably  not  motivated  by  food-seeking. 


Disparity  between  concentrations  of  food  re- 
quired for  survival  and  growth  of  laboratory- 
reared  fish  larvae  and  observations  of  average 
concentrations  of  food  organisms  in  the  ocean  has 
led  to  the  widely  accepted  idea  that  aggregations 
offish  larvae  and  their  food  must  frequently  over- 
lap in  nature  (see  reviews  by  Theilacker  and 
Dorsey  [1980]  and  Hunter  [1981]).  Direct  and  in- 
direct evidence  for  the  importance  of  overlapping 
concentrations  of  larvae  and  their  prey  (Lasker 
1975,  1978;  Govoni  et  al.  1985;  Buckley  and 
Lough  1987)  comes  from  sampling  at  fronts  and 
discontinuities  in  the  pelagic  environment.  One 
interface  that  attracts  many  zooplankters  is  the 
seabed  itself  (Hamner  and  Carleton  1979;  Wish- 
ner  1980;  Sainte-Marie  and  Brunei  1985).  On  the 
southern  California  continental  shelf,  the  seabed 
serves  as  a  surface  of  aggregation  for  larvae  of 
numerous  fish  species  (Brewer  et  al.  1981;  Schlot- 
terbeck  and  Connally  1982;  Barnett  et  al.  1984; 
Jahn  and  Lavenberg  1986)  and  other  zooplankton 
(Clutter  1969;  Barnett  and  Jahn  1987)  and  of 
large-zooplankton  biomass  (Jahn  and  Lavenberg 
1986).  While  it  is  tempting  to  suggest  a  trophic 
advantage  to  the  suprabenthic  habit  of  the  fish 
larvae,  near-bottom  concentrations  of  organisms 
actually  eaten  by  larval  fishes  have  yet  to  be 
demonstrated  along  the  open  coast. 


iNatural  History  Museum  of  Los  Angeles  County,  900  Expo- 
sition Boulevard,  Los  Angeles,  CA  90007. 


In  all  cases  reported,  concentration  in  the  near- 
bottom  zone  was  greater  in  older  larvae  and, 
when  observations  permitted,  greater  during  the 
day  than  at  night  (Brewer  and  Kleppel  1986; 
Jahn  and  Lavenberg  1986).  The  phenomenon  is 
therefore  thought  to  be  behavioral.  Possible  ad- 
vantages of  such  behavior,  including  avoidance  of 
midwater  predators,  maintenance  of  position  on 
the  shelf,  and  increased  encounters  with  high 
concentrations  of  food,  have  been  discussed  else- 
where (Barnett  et  al.  1984;  Brewer  et  al.  1984; 
Brewer  and  Kleppel  1986;  Jahn  and  Lavenberg 
1986).  In  discussing  the  near-bottom  schooling 
behavior  of  a  larval  clupeoid  in  Japan,  Leis  (1986) 
stated,  "knowledge  of  the  biology  of  epibenthic 
fish  larvae  is  too  rudimentary  to  allow  a  clear 
assessment  of  the  advantages  and  disadvan- 
tages. .  . ."  Whatever  the  advantages,  a  seemingly 
more  answerable  question  about  the  near-bottom 
habit  is  what  causes  the  larvae  to  behave  as  they 
do?  In  another  study  from  Japan,  Tanaka  (1985) 
showed  that  juvenile  red  sea  bream,  Pagrus 
major,  exploited  suprabenthic  copepod  popula- 
tions, and  he  speculated  that  the  distribution  of 
prey  was  a  template  for  the  descent  of  the  fish 
from  midwaters  and  its  subsequent  migration 
into  estuaries.  The  question  addressed  in  the 
present  study  was  whether  the  fine-scale  layering 
of  larval  fishes  was  a  direct  response  to  that  of 
their  prey  field. 

Because  of  the  immediate  behavioral  aspect  of 


Manuscript  accepted  Februar>'  1988. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


251 


FISHERY  BULLETIN:  VOL  86,  NO  2 


the  question  posed,  a  1-d  study  was  thought 
appropriate.  Though  environmental  conditions 
on  this  day  might  differ  from  "average",  fish  lar- 
vae were  assumed  to  be  capable  of  a  constant 
array  of  behaviors.  In  other  words,  response  (if 
any)  of  the  larvae  to  the  vertical  distribution  of 
their  prey  was  assumed  to  be  a  deterministic 
rather  than  a  statistical  phenomenon.  If  their 
vertical  distribution  resembled  that  of  their  prey, 
then  food-seeking  would  remain  a  plausible  ex- 
planation for  the  near-bottom  habit;  if  not,  then 
other  stimuli  must  be  considered  important  in 
shaping  these  near-bottom  concentrations  of  fish 
larvae. 

The  sampling  was  planned  for  daylight  hours, 
when  most  feeding  by  larvae  was  expected  to 
occur  (Hunter  1981;  Govoni  et  al.  1983).  Late  win- 
ter was  chosen  because  in  this  season  peak  larval 
abundances  of  several  species  of  interest  to  us 
(northern  anchovy,  Engraulis  mordax;  white 
croaker,  Genyonemus  lineatus;  California  hal- 
ibut, Paralichthys  californicus;  and  sometimes 
queenfish,  Seriphus  politus,  often  overlap 
(Lavenberg  et  al.  1986).  A  survey  cruise  in  late 
February  found  moderate-to-high  abundance  of 
the  first  three  species  plus  California  sardine, 
Sardinops  sa^ox,  (all  >0.2  m"'^,  Lavenberg  un- 
publ.  data),  and  so  this  study  was  scheduled  for  19 
March  1985  off  Seal  Beach,  CA  (lat.  33°41'N, 
long.  118°05'W;  for  a  map,  see  Jahn  and  Laven- 
berg 1986). 

As  it  happened,  we  chanced  to  encounter  condi- 
tions that  were  less  typical  than  those  found  on 
the  February  cruise.  Only  one  fish  species,  white 
croaker,  was  abundant  enough  to  merit  analysis, 
and  an  uncommonly  reported  prey  item,  rotifera, 
was  important  for  small  larvae.  The  diet  of 
various-sized  larvae  with  respect  to  the  abund- 
ance of  prey  organisms  at  an  array  of  heights 
above  the  seabed  was  nevertheless  useful  in  ques- 
tioning whether  food-seeking  shaped  the  ob- 
served larval  distribution. 


METHODS 

Field 

At  the  hour  of  0750  PST,  an  array  of  Interocean 
model  S4^  electromagnetic  current  meters  was 
set  out  over  the  15  m  isobath,  with  current  meters 
1,  4,  and  8  m  above  the  seabed.  These  meters  were 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


set  to  record  average  current  vectors  and  tem- 
perature at  5-min  intervals.  The  vessel  (RV  West- 
wind)  was  then  anchored  some  200  m  seaward  of 
the  current  meter  array.  A  Nielson  model  NCH 
fish  pump,  rated  at  227  m'^  h^  at  a  2  m  head,  was 
used  to  sample  fish  larvae  and  zooplankton.  The 
end  of  the  hose  was  tethered  between  a  200  kg  flat 
steel  weight  and  several  subsurface  floats,  with  a 
pulley  arrangement  such  that  divers  could  adjust 
the  distance  between  hose  mouth  and  seabed.  A 
similar  setup  was  previously  found  to  give  re- 
peatable,  fine-scale  resolution  at  vertical  sep- 
arations of  25  cm  (Jahn  and  Lavenberg  1986). 
Sampling  heights  above  the  bottom  were  50  cm, 
1  m,  and  6.7  m.  The  15.2  cm  diameter  hose  was 
nearly  horizontal  at  the  tether  point,  so  that 
nominal  sampling  strata  were  z  ±  7.6  cm.  Ves- 
sel surge,  transmitted  through  the  stiff  hose, 
caused  occasional  downward  excursions  of  some 
10  cm. 

Accompanying  each  pump  sample  was  a  cast  of 
water  bottles  for  phytoplankton  and  microplank- 
ton  analysis.  Rigid  arrays  of  horizontally  held  4  L 
Niskin  bottles  (of.  Owen  1981)  were  used  to  take 
water  samples  simultaneously  from  25,  50,  and 
100  cm  above  the  bottom.  The  bottle  array  was 
designed  to  be  tripped  by  messenger,  but  poor 
performance  led  to  diver-implemented  use  after 
the  second  cast.  A  midwater  sample,  7.5  m  below 
the  surface,  was  obtained  via  a  single  Niskin  bot- 
tle for  each  sample  set. 

The  sampling  plan  thus  consisted  of  duplicate 
pump  samples  from  each  of  three  strata,  each 
pump  sample  to  be  accompanied  by  a  set  of  bottle 
samples  from  four  standard  heights,  three  within 
1  m  of  the  seabed  and  one  at  midwater  column. 
One-liter  samples  from  the  bottles  were  fixed  in 
Lugol's  solution  for  later  identification  of  phyto- 
plankton and  microplankton.  Pump  samples  of 
15-min  duration  (approximately  35  m^)  were 
mainly  directed  into  an  overboard,  330  |xm  mesh 
plankton  net  for  retention  of  large  zooplankton 
and  ichthyoplankton.  Unexpected  problems  in 
reading  an  inline  flowmeter  required  that  vol- 
umes be  estimated  as  2.4  m"^  min"^,  based  on  pre- 
vious experience  with  the  pump  under  similar 
conditions  aboard  the  same  vessel.  To  collect 
smaller  zooplankton,  a  5  cm  diameter  hose  led 
from  the  intake  side  of  the  fish  pump  to  a  100  jjtm 
mesh  plankton  net.  This  small-meshed  net  was 
suspended  over  a  watertight  box,  which  was 
marked  such  that  exactly  0.5  m'^  could  be  subsam- 
pled  for  animals  too  small  to  be  quantitatively 
retained  by  the  large  net.  This  subsample,  which 


252 


JAHN  ET  AL  :  FOOD-SEEKING  LARVAL  WHITE  CROAKER 


was  first  seived  through  330  p.m  mesh,  took  about 
10  minutes  to  obtain;  the  portion  retained  on  the 
330  |jim  mesh  was  added  to  the  contents  of  the 
large  plankton  net.  All  pump  samples  were  pre- 
served in  5%  formalin. 

Laboratory 

All  fish  larvae  and  eggs  were  sorted  from  the 
large  zooplankton  samples  and  identified.  All 
specimens  of  white  croaker,  the  only  species 
abundant  in  all  six  collections,  were  measured 
with  an  eyepiece  micrometer  in  units  of  0.024, 
0.062,  or  0.159  mm,  depending  on  magnification. 
Length  was  measured  from  tip  of  snout  to  end  of 
straight  (NL)  or  fiexed  (FL)  notochord  or  to  the 
end  of  the  hypural  plate  when  this  margin  was 
vertical  (SL).  A  further  designation  of  de- 
velopmental stage  indicated  the  amount  of  yolk 
present:  "free  embryos"  (Balon  1975)  had  a 
relatively  massive  yolk  sac  and  may  or  may  not 
have  had  functional  eyes  and  mouths;  more 
advanced  individuals  with  a  much-reduced  or 
totally  resorbed  yolk  sac,  fully  pigmented  eyes, 
and  an  apparently  functional  mouth  were 
designated  "feeding-stage"  larvae,  or  simply 
"larvae". 

All  larvae,  plus  a  maximum  of  20  free  embryos 
with  apparently  functional  mouths  from  each  col- 
lection, were  dissected  for  gut  contents  analysis 
by  methods  described  in  Arthur  (1976)  and 
Gadomski  and  Boehlert  (1984).  Length,  rather 
than  width,  of  prey  items  was  measured,  because 
it  was  considered  a  more  conservative  property  of 
often  crushed  specimens  and  because  our  concern 
was  not  so  much  with  what  the  larvae  could  eat 
(Hunter  1981)  as  with  what  they  did  eat.  Lengths 
of  prey  items  (of  copepods,  cephalothorax  length) 
were  recorded  in  50  fxm  classes  up  to  200  iJim,  by 
100  ji-rn  classes  from  200  \x.m  to  1  mm,  and  by  0.5 
mm  classes  at  larger  sizes.  In  a  few  cases,  these 
size  categories  were  inconvenient,  and  more  in- 
clusive ranges  were  used. 

Water  bottle  samples  of  phytoplankton  and  mi- 
crozooplankton  were  prepared  following  proce- 
dures in  Utermohl  (1931).  From  a  thoroughly 
agitated  sample,  a  50  mL  subsample  for  net 
phytoplankton  was  taken  and  placed  in  a  settling 
chamber  overnight  (about  14—18  hours).  Cells 
were  identified  and  counted  in  10  ocular  fields, 
and  mean  density  (cells  per  liter)  calculated  as 
the  number  counted  scaled  by  the  proportion  of 
the  area  of  the  10  fields  (20.6  mm^  total)  to  the 
area  of  the  slide  (510.7  mm^). 


Microzooplankton  was  filtered  from  a  500  mL 
subsample  onto  a  35  fxm  mesh  screen,  washed 
from  the  screen  into  a  50  mL  settling  tube  and 
allowed  to  settle  overnight.  All  organisms  >50 
fxm  were  counted  and  identified  to  taxon  and  size 
category,  using  the  same  system  as  for  larval  fish 
gut  contents.  Densities  were  scaled  to  number  per 
liter. 

The  100  ^jLm  zooplankton  samples  were  concen- 
trated to  200  mL,  then  subsampled  twice  using  a 
10  mL  Stempel  pipette.  Organisms  were  identi- 
fied and  classified  to  size  categories  as  described 
above  for  larval  fish  prey.  Counts  from  two  sub- 
samples  were  averaged  and  expressed  as  number 
per  m"^. 

Data  Analysis 

The  microzooplankton  (from  water  bottles) 
data  set  consisted  of  six  vertical  profiles  of  four 
sampling  heights  each.  Principal  components 
analysis  was  used  to  look  for  vertical  layering  and 
time-correlated  changes  in  the  makeup  of  these 
assemblages.  A  list  of  taxa  present  in  three  or 
more  samples  from  at  least  one  sampling  height 
was  chosen.  Abundances  were  log-transformed 
[logio(jc  +  D],  and  principal  components  com- 
puted from  the  covariance  matrix.  Component 
scores  for  each  of  the  24  samples  were  used  to 
make  plots  in  which  two-  and  three-dimensional 
groupings  were  sought  that  could  be  clearly  re- 
lated to  sampling  height  or  to  the  sequence  in 
which  the  samples  were  taken.  The  taxa  having 
high  loadings  on  axes  (components)  identified 
with  time  and  vertical  trends  were  subsequently 
scrutinized  individually.  A  similar  analysis  was 
done  for  phytoplankton,  but  omitted  here  in  the 
interest  of  brevity. 

Gut  contents  were  conveniently  analyzed  by 
lumping  taxa  into  the  10  categories:  dinoflagel- 
late,  tintinnid,  rotifer,  polychaete  larva,  lamelli- 
branch  larva,  crustacean  nauplius,  copepodite 
and  adult  copepod,  amphipod,  invertebrate  egg, 
and  "other".  Unidentifiable  matter  was  ignored 
in  all  comparisons.  To  test  for  differences  in  diet 
between  subsets  of  larvae,  we  used  an  adaptation 
of  the  "bootstrap"  (Efron  1982).  The  test  criterion 
was  the  percentage  of  prey  comprised  by  a  major 
item  in  one  of  the  two  groups  of  guts.  The  null 
hypothesis  that  two  sets  were  not  different  was 
simulated  by  combining  the  two  data  sets  and 
then,  through  repeated  sampling,  determining 
the  probability  of  observing  the  criterion  percent- 
age from  such  a  mixture. 


253 


FISHERY  BULLETIN:  VOL.  86,  NO  2 


RESULTS 

General  Observations 

The  water  column  was  very  weakly  stratified, 
with  temperatures  of  12.9  ±  0.1°C  at  1  m,  13.0 
±  0.2°C  at  4  m  and  14.1  ±  0.1°C  8  m  above  the 
bottom  during  the  time  of  biological  sampling. 
Near  the  bottom,  a  turbid  suspension  limited  vis- 
ibility to  arm's  length;  the  surface  of  the  sediment 
was  never  clearly  seen  on  any  of  the  seven  de- 
scents during  the  hours  of  0930-1630.  The  mid- 
waters  below  about  3  m  from  the  surface  were 
densely  populated  with  larvaceans  (visually  esti- 
mated and  later  confirmed  to  be  about  10  L"^). 
Total  diatom  cell  counts  (principally  Nitzschia 
spp.)  were  of  order  10^  L~^  in  all  samples,  bloom 
quantities  suggestive  of  recent  upwelling  (cf. 
Tont  1981). 


Currents  and  Plankton 

During  the  hours  of  biological  sampling,  cur- 
rents ran  steadily  alongshore  to  the  southeast, 
being  deflected  counterclockwise  near  the  bottom 
and  ranging  from  about  14  cm  s"^  at  8  m  to  6  m 
s"^  at  1  m  above  the  seabed.  At  these  current 
speeds,  one  may  expect  that  the  approximately 
5-h  period  from  beginning  to  end  of  biological 
sampling  should  correspond  to  a  minimum  spa- 
tial spread  of  1-2.5  km.  Distances  of  this  order 
were  previously  found  to  be  an  important  length 
scale  of  variation  in  larval  fish  abundance  ( Jahn 
and  Lavenberg  1986).  Because  the  spatial  dimen- 
sion of  interest  regarding  distribution  of  larval 
fish  prey  was  the  vertical,  we  needed  to  quantify, 
at  least  partially,  the  effects  of  time  (vertical 
migration?)  and  distance  (advection)  on  the  com- 
position and  vertical  dispostion  of  the  plankton. 


Component    4    (11%) 
0 


2   - 


1    - 


CM 
CM 


C 
0) 

c 
o 

o. 

E 
o 
o 


0    - 


1     - 


■2     - 


FIGURE  1. — Projections  of  microzooplankton 
samples  onto  the  first  and  fourth  principal  com- 
ponent axes.  The  initial  digit  represents  profile 
number,  M  =  midwater,  B  =  near-bottom,  final 
digit  is  proximity  to  bottom  (1  =  25  cm,  2  =  50 
cm,  3  =  100  cm),  see  Figure  3. 


254 


JAHN  ET  AL.:  FOOD-SEEKING  LARVAL  WHITE  CROAKER 


Accordingly,  the  microplankton  data  set,  repre- 
senting six  vertical  profiles  separated  in  time, 
was  reduced  to  principal  components  for  exami- 
nation of  possible  time  effects. 

Twenty-four  taxonomic/size  categories  of  mi- 
crozooplankton  were  used  to  compute  principal 
component  scores  for  the  24  samples.  The  first 
four  principal  components  accounted  for  60%  of 
the  variance.  No  clear  separation  of  midwater 
from  near-bottom  samples  was  seen.  The  first 
component,  which  accounted  for  22%  of  the  vari- 
ance, separated  the  near-bottom  samples  into  two 
groups,  morning  to  midday  and  afternoon  (Fig.  1), 
leaving  the  midwater  samples  at  intermediate 
projections.  The  midwater  samples  were  in  turn 
separated  by  the  fourth  component  (11%  of  the 
variance)  into  time  groups  corresponding  to  those 
of  the  near-bottom  set.  No  stratification  by  sam- 
pling height  was  seen  within  the  near-bottom 
samples,  and  none  of  the  other  axes  provided  sep- 
aration by  time.  The  highest  loading  variables  on 
components  1  and  4  (Table  1)  were  various  sizes  of 
rotifer  and,  for  component  1,  three  genera  of 
tintinnids  (Favella,  Acanthocystis ,  and  Da- 
dayella ).  Much  of  the  time-correlated  variance 
structure  depicted  in  Figure  1  thus  appears  to  be 
due  to  change  in  the  size  composition  of  rotifers, 
described  in  a  later  section,  and  a  decrease  in 
these  three  tintinnids  near  the  bottom  in  late  af- 
ternoon (Table  2).  An  identical  analysis  of  the 


Table  1. — Loadings  of  important  variables  on  tfie  first  and  fourth 
principal  components  of  microplankton  data. 


Component  1 


Component  4 


Variable 

Loading 

Variable 

Loading 

Rotifer 
150-200  ^Lm 
200-300  ^JLm 

Tintinnids 
Favella  sp. 
Acanthocyctis 
Dadayella  sp. 

sp. 

0.572 
-0.380 

0.365 
0.331 
0.314 

Rotifer,  100-150  M-m 

Egg,  50-100  \i.m 

Copepod  nauplii, 
150-200  ^JLm 

0.388 
0.349 

-0.252 

phytoplankton  data  found  no  trends  in  time  or 
depth. 

Larval  Fish  Abundance 

Of  1,125  total  fish  larvae  taken  in  the  six  pump 
samples,  666  (59%)  were  white  croaker,  a  deep- 
bodied,  robust  larva  (Watson  1982).  More  than 
half  (338)  of  these  had  absorbed  the  yolk  sac  and 
were  thus  of  feeding  size.  The  second  most  abun- 
dant feeding-stage  larva  was  an  unidentified  gob- 
iid  type  (84  specimens),  but  this  taxon  was  not 
taken  above  100  cm  of  the  seabed  and  so  was 
excluded  from  the  gut  analysis.  Feeding-stage 
California  sardine,  northern  anchovy,  and  Cali- 
fornia halibut — all  relatively  abundant  O0.2 
m""^)  in  the  area  three  weeks  earlier — each  repre- 
sented <1%  of  the  catch.  Although  the  earlier 
survey  employed  oblique  bongo  net  tows,  past 
comparison  of  the  Nielsen  pump  with  bongo  tows 
found  no  significant  differences  in  diversity  or 
abundance  estimates  based  on  similar-volume 
samples  (R.  Schlotterbeck^).  We  therefore  think 
the  differences  between  the  February  survey  and 
our  March  samples  were  due  mainly  to  a  real 
change  in  the  ichthyoplankton,  from  a  typical 
late  winter  assemblage  (McGowen  1987;  Walker 
et  al.  1987)  to  a  more  depauperate  one. 

Vertical  Distribution  and  Feeding 
Incidence  of  Larval  White  Croaker 

White  croaker  free  embryos  ranged  in  abun- 
dance from  <0.1  m"'^  at  0.5  m  to  ~1  m"-^  at  1  m 
to  >2  m-3  at  6.7  m  above  the  bottom.  Of  61  free 
embryos  dissected,  none  had  gut  contents. 

Feeding-stage  larvae  of  white  croaker  were 
only  slightly  more  abundant  at  6.7  m  (1.9-2.2 
m"3)  than  at  1  m  and  0.5  m  (1.1-1.6  m'^),  but 


3R.  Schlotterbeck,  Robert  Schlotterbeck,  Inc.,  18842 
Ridgeview  Cr.,  Villa  Park,  CA  92667,  pers.  commun.  April 
1986. 


Table  2. — Density  (cells  per  liter)  of  three  tintinnids  as  a  function  of  time  and 
sampling  height.  Each  set  of  three  numbers  gives  the  density  of  Favella  spp.  (F), 
Acanthocystis  spp.  (A),  and  Dadayella  spp.  (D). 


Time  (PST) 

Height 

F 

1030 
A     D 

1130 

1220 

1313 

1425 

1454 

(cm) 

FAD 

F 

A      D 

FAD 

FAD 

FAD 

750 

100 

50 

25 

6 
2 
0 
2 

4     20 
4     24 
6     18 
6       4 

0      4    22 
30     18    24 
26     12    44 
14     12    44 

0 
6 
0 
0 

4  12 
18    48 

2  24 
22    54 

2    0     12 

0    2     26 

0    0       4 

10    2     26 

46     12    14 
8      4    24 
0      0      4 
0      0      0 

42    6     18 
0    0     26 
0    6     12 
0    0       0 

255 


there  was  a  marked  gradient  in  development  with 
proximity  to  the  seabed  (Fig.  2).  All  the  larvae  at 
6.7  m  had  unflexed  notochords,  and  most  were 
<2.5  mm  NL.  Feeding  incidence  (proportion  of 
larvae  with  nonempty  guts)  was  78%  at  this 
height.  At  1  m,  modal  larval  length  was  2.65  mm, 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 

with  a  single  postflexion  specimen  (Fig.  2);  feed- 
ing incidence  was  74%.  At  0.5  m  there  were  still 
some  preflexion  larvae,  but  a  second  length  mode 
at  6.8  mm  represented  postflexion-stage  larvae. 
Feeding  incidence  was  90%)  at  0.5  m  above  the 
bottom,  being  somewhat  greater  among  flexion 


39   n 


O 

CO 

> 
c5 


o    0  J 

3 


0  ^ 


13  -1 


G.  lineatus 

GUTS  WITH  CONTENTS  ■ 
GUTS  EMPTY  0 

(excludes  yolksac  stage) 


670   cm 

(n  =  109) 


2.0      2.5      3.0 


in'i'i 


100  cm 

(n=70) 


2.0      2.5      3.0 


'  I '  I  n '  I '  I '  I 

5  10 


0  ^ 


fl#^ 


2.0      2.5      3.0 


50  cm 

(n=83) 


Length     (mm) 

Figure  2. — Length  frequencies  of  feeding-stage  larvae  of  Genyonemus  lineatus  at  three  sampling  heights. 


256 


JAHN  ET  AL.:  FOOD-SEEKING  LARVAL  WHITE  CROAKER 


and  postflexion  larvae  (95%)  than  among  preflex- 
ion  larvae  (82%). 

Gut  Contents 

The  white  croaker  larvae  were  divided  into 
three  size  classes  for  analysis  of  gut  contents  with 
regard  to  height  above  the  bottom:  preflexion  lar- 
vae <2.7  mm  (size  1),  preflexion  larvae  >2.7  mm 
(size  2),  and  flexion  and  postflexion  larvae  (size 


E 
o 

o 


84    guts 
373    prey 


E 
o 

o 

o 


3).  The  largest  preflexion  larva  was  4.6  mm  NL, 
and  the  smallest  flexion  stage  larva  was  5.5  mm 
FL.  The  division  of  preflexion  larvae  at  2.7  mm 
retained  all  but  one  specimen  at  6.7  m  in  size  1 
while  partitioning  the  preflexion  larvae  at  1  m 
and  0.5  m  about  equally  into  sizes  1  and  2  (Figs. 
2,  3).  Besides  the  2.75  mm  specimen  at  6.7  m,  a 
single  flexion  stage  larva  at  1  m  was  excluded  by 
these  criteria  from  the  comparisons. 


31    guts 
82    prey 


21    guts 
66    prey 


DINOFLAGELLATES 

TINTINNIDS 

ROTIFERS 

POLYCHAETE  LARVAE 

LAMELIBRANCH   LARVAE 

NAUPLII 

COPEPODS 

AMPHIPODS 

INVERTEBRATE  EGGS 

OTHER 


^ 


^ 


^ 


Hii 


ESS 


E 
o 

o 
it) 


8   guts 

15   guts 

52    guts 

22    prey 

26    prey 

194    prey 

SIZE  1 


SIZE    2 


SIZE  3 


Figure  3. — Percentage  contribution  of  10  food  categories  to  the  diet  of  larval  white  croaker  at  three  heights  above  the 
bottom.  Size  1  =  preflexion  larvae  <2.7  mm  NL;  size  2  =  preflexion  larvae  >2.7  mm  NL;  size  3  =  flexion  and 
postflexion-stage  larvae. 


257 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Most  identifiable  prey  items  fit  into  the  nine 
categories:  dinoflagellate,  tintinnid,  rotifer,  poly- 
chaete  larva,  lamellibranch  larva,  crustacean 
nauplius,  copepodite  and  adult  copepod,  am- 
phipod,  and  invertebrate  egg  (Fig.  3).  The  "other" 
category  applied  only  to  size-2  larvae  at  1  m  (1 
Globigerina  sp.)  and  to  size-3  larvae  (1  zoea,  3 
larvaceans,  and  two  large  [1  mm]  unidentified 
spheres). 

Guts  of  preflexion  (sizes  1  and  2)  larvae  from 
the  three  sampling  heights  contained  an  array  of 
small  (<300  jxm)  organisms  that  varied  mainly  in 
proportions  from  mostly  rotifers  (88%)  in  size-1 
larvae  at  6.7  m  to  a  diverse  mix  of  prey  numeri- 
cally dominated  by  nauplii  in  size-2  larvae  at  0.5 
m  (Fig.  3).  Percent  similarity  (overlap)  among  the 
5  groups  of  preflexion  larvae  ranged  from  24  to 
75%.  The  gut  of  the  single  size-2  larva  at  6.7  m, 
not  included  in  Figure  3,  contained  two  tintin- 
nids. 

Size-3  larvae  had  a  diet  consisting  chiefly  of 
copepodite  and  adult  copepods  that  overlapped 
only  8-9%  with  size-2  larvae  and  1%  or  less  with 
the  three  groups  of  size-1  larvae.  The  copepods 
eaten  by  size-3  larvae  were  mostly  Corycaeus  an- 
glicus  (62%  of  all  copepods),  unidentified  cope- 
podites  (cyclopoid  and  calanoid,  25%),  and  Para- 
calanus  parvus  (9%).  Polychaete  larvae  were 
identified  only  from  the  presence  of  setae  in  the 
guts,  so  the  proportion  (nominally  16%  of  all  prey 
items)  of  this  taxon  in  the  diet  is  more  an  indica- 
tion of  incidence  than  of  numerical  importance. 
Amphipods,  mostly  in  the  length  range  1-1.5 
mm,  were  found  in  white  croaker  larvae  ranging 
from  6.5  mm  FL  to  10.3  mm  SL.  The  gut  of  the 
flexion-stage  larva  at  1  m,  not  included  in  Figure 
3,  contained  three  C.  anglicus  and  traces  of  poly- 
chaete setae. 

While  there  can  be  no  doubt  that  flexion  and 
postflexion  larvae  had  a  different  diet  than  pre- 
flexion larvae,  the  pattern  of  decreasing  propor- 
tion of  rotifers  with  increasing  size  and  proximity 
to  the  bottom  among  preflexion  larvae  was  of 
questionable  statistical  significance.  The  first 
question  asked  was  whether  the  very  high  per- 
centage of  rotifers  in  the  diet  of  size-1  larvae  at 
6.7  m  was  likely  to  have  arisen  by  chance  from  a 
random  sampling  of  size-1  larvae.  Formally 
stated,  Hq  =  "all  size-1  larvae  had  the  same  per- 
centage of  rotifers".  The  123  nonempty  guts  were 
pooled,  and  random  samples  of  84  each  were 
drawn.  In  1,000  iterations,  <4%  of  the  samples 
had  >88%  rotifers,  so  it  was  concluded  that  lar- 
vae at  6.7  m  ate  significantly  more  rotifers  than 


similar-sized  larvae  near  the  bottom.  The  remain- 
ing 75  preflexion  larvae  (sizes  1  and  2)  are  divided 
into  4  small  groups  at  0.5  and  1  m,  so  we  next 
tested  for  a  size  effect  by  pooling  across  sampling 
height,  such  that  the  guts  of  the  39  near-bottom 
size-1  larvae  contained  64%  rotifers,  and  the  36 
size-2  larvae  had  36%  rotifers.  Bootstrapping  as 
before,  <2%  of  samples  of  36  had  <36%  rotifers, 
so  it  was  concluded  that  size-1  and  size-2  larvae 
differed  in  this  regard.  Further  testing  (e.g.,  of  a 
height  effect  within  sizes)  was  not  done  because  of 
small  sample  sizes  and  multiple  testing  consider- 
ations. 

Abundance  and 
Vertical  Distribution  of  Prey 

Rotifers,  all  identified  as  the  brachionoid  Tri- 
chocerca  sp.,  figured  importantly  both  in  the  diet 
of  preflexion  larvae  and  in  the  time-related  vari- 
ance structure  of  the  microplankton.  As  shown  in 
Table  3,  there  was  a  change  in  the  size  spectrum 
of  these  animals  that  coincided  approximately 
with  the  time  of  changing  from  near-bottom  sam- 
pling to  midwater  sampling  with  the  fish  pump.  It 
was  only  the  largest  category  of  rotifer  (200-300 
|xm,  including  the  "toe")  that  was  found  in  the 
guts  of  the  larvae.  The  relative  abundance  of  total 
rotifers  in  the  plankton  at  the  times  and  heights 
of  pump  sampling  differed  very  little  (25-33%  of 
all  organisms  in  the  100-300  ^JLm  size  class),  but 
the  percentage  of  rotifers  in  the  200-300  [xm  class 
increased  from  21%  (near-bottom,  morning)  to 
86%  of  all  rotifers  (midwater,  afternoon).  The 
dominance  of  rotifers  in  the  diet  of  size-1  larvae  in 
midwaters  is  thus  likely  related  to  the  larger  size 
of  rotifer  resident  in  the  water  column  when  that 
height  was  sampled. 

The  most  notable  dietary  difference  among  the 
larval  size  groups  analyzed  was  the  switch  from 
small  (50-300  (xm)  to  larger  (0.5-2.5  mm)  prey, 
principally  the  copepod  Corycaeus  anglicus  (0.5- 
0.8  mm),  upon  flexion  of  the  notochord.  The  abun- 
dance of  Corycaeus  from  the  100  ixm  mesh  pump 
samples  (Table  4)  shows  that  this  prey  item  was 
equally  or  more  abundant  in  midwater  than  near 
the  bottom,  where  all  the  flexion  and  postflexion 
larvae  were  captured.  (Within  the  bottom  meter, 
the  similar-sized  but  more  transparent  Para- 
calanus  parvus  outnumbered  C  anglicus  by  a  fac- 
tor of  5-20.)  The  only  prey  found  in  numbers  in 
these  larvae  that  was  restricted  to  the  0.5  m  sam- 
ples was  gammarid  amphipods.  Larger  crus- 
taceans— cumaceans,    crab    and    shrimp    zoea, 


258 


JAHN  ET  AL.:  FOOD-SEEKING  LARVAL  WHITE  CROAKER 

Table  3. — Density  (rotifers  per  liter)  of  Trichocerca  sp.  as  a  function  of  time  and  sampling  heighit.  Eachi  set  of  three  numbers  gives  the  density 
of  100-150  M-m,  150-200  txm,  and  200-300  ^.m  rotifers.  Height  of  simultaneous  pump  sample  is  given. 


Time  (PST): 
Pump  height: 

Sampling 

height 

(cm) 


Time  (PST): 
Pump  height: 

Sampling 


1030 
0.5  m 


1130 
0.5  m 


1220 
1  m 


100- 
150  pim 


150- 
200  ^.m 


200- 
300  pirn 


100- 
150  \i.m 


150- 
200  M-m 


200- 
300  M-m 


100- 
150  pLm 


150- 
200  M.m 


1313 
1  m 


1425 
6.7  m 


1454 
6.7  m 


200- 
300  M-m 


750 

8 

0 

4 

4 

0 

10 

0 

0 

20 

100 

8 

14 

0 

0 

66 

0 

14 

22 

10 

50 

24 

18 

0 

0 

8 

40 

0 

34 

0 

25 

0 

2 

12 

16 

46 

0 

0 

30 

0 

height 

100- 

150- 

200- 

100- 

150- 

200- 

100- 

150- 

200- 

(cm) 

150  fim 

200  (xm 

300  M-m 

150  ^.m 

200  M.m 

300  M-m 

150  M-m 

200  M-m 

300  M-m 

750 

20 

0 

0 

0 

12 

14 

0 

0 

60 

100 

0 

4 

0 

12 

24 

0 

46 

0 

102 

50 

6 

0 

34 

0 

4 

16 

0 

0 

42 

25 

0 

26 

0 

0 

0 

6 

0 

2 

0 

Table  4. — Abundance  (animals  m  3)  of  cope- 
podite  and  adult  Corycaeus  spp.  in  100  [im 
mesh  samples  from  the  fish  pump. 


Height 
(m) 


First  sample 


Second  sample 


6.7 

1 

0.5 


1,080 
120 
180 


460 
500 

140 


mysids,  and  euphausid  furcilia  larvae — were  all 
abundant  OlO  m""^)  in  the  0.5  m,  330  ixm  mesh 
samples  but  with  the  exception  of  the  callianassa 
zoea  mentioned  above  (from  the  gut  of  an  11  mm 
larva)  were  not  found  in  these  white  croaker  lar- 
vae. 

DISCUSSION 

The  chief  drawback  of  the  pumping  system 
used  was  its  inability  to  obtain  a  simultaneous 
vertical  profile.  The  sampling  sequence  left  the 
possibility  that  differences  among  heights  might 
be  confounded  by  trends  in  time,  as  discussed  by 
Jahn  and  Lavenberg  (1986).  Slight  time  effects 
were  found  among  the  vertical  profiles  of  mi- 
croplankton,  increasing  the  suspicion  that  the  ap- 
parent vertical  distributions  of  fish  larvae  and 
macrozooplanktonic  prey  might  have  horizontal 
components.  To  contradict  the  argument  that 
food-seeking  did  not  bring  postflexion  larvae  near 
the  bottom,  one  would  need  to  invoke  either  an 
afternoon  increase  of  some  two  orders  of  magni- 


tude in  copepod  abundance  (Table  4)  or  else  the 
presence  of  flexion  and  postflexion  larvae 
throughout  the  water  column  in  morning  and 
midday  followed  by  their  sudden  disappearance 
in  the  afternoon. 

A  two-order-of-magnitude  change  in  copepod 
species  abundance  over  a  distance  of  roughly  1 
km  (2  hours  at  14  cm  s"M  is  certainly  possible; 
though  zooplankton  structures  reported  from  the 
southern  California  continental  shelf  are  gener- 
ally larger  than  this  (Star  and  Mullin  1981;  Bar- 
nett  and  Jahn  1987),  there  is  always  the  possibil- 
ity of  sampling  the  edge  of  a  patch.  Since  no  such 
edge  was  evident  in  the  abundance  or  overall 
composition  of  microplankton  or  of  phytoplank- 
ton,  it  seems  unlikely  that  a  macrozooplankton 
change  of  this  order  occurred.  Moreover,  the  main 
copepod  eaten,  Corycaeus  anglicus,  is  generally 
more  abundant  in  midwater  than  near  the  bottom 
over  the  shallow  shelf  (A.  Barnetf^),  in  accord 
with  its  apparent  distribution  in  this  study.  As  to 
a  possible  midwater  abundance  of  postflexion 
white  croaker  larvae,  no  such  concentration  has 
ever  been  reported.  In  some  nine  vertical  profiles 
taken  in  daylight  over  a  6-d  period.  Brewer  and 
Kleppel  (1986)  took  virtually  all  specimens  >3.5 
mm  in  their  near-bottom  sampler.  White  croaker 
appears  similar  to  another  abundant  sciaenid, 
queenfish,  in  this  regard  (cf  Jahn  and  Lavenberg 
1986). 


4A.  Barnett,  Marine  Ecological  Consultants,  531  Encinitas 
Blvd..  Encinitas,  CA  92024,  pers.  commun.  July  1987. 


259 


FISHERY  BULLETIN:  VOL.  86,  NO  2 


The  only  unequivocal  instance  in  which  a  prey 
item  of  larval  white  croaker  was  vertically  dis- 
tributed similarly  to  the  larvae  was  the  trace  of 
amphipods  found  in  the  guts  of  competent  (flexion 
and  postflexion)  larvae.  At  the  lengths  of  larvae 
sampled  (<12  mm)  the  prey  were  all  planktonic 
and  nearly  all  about  equally  abundant  in  mid- 
waters  as  near  the  bottom.  The  small  numbers  of 
amphipods  eaten  may  indicate  an  incipient  tran- 
sition to  larger,  suprabenthic  crustacean  prey. 
The  size  gap  between  the  large  prey  of  these  com- 
petent larvae  and  the  smaller  prey  of  preflexion 
larvae  is  probably  an  artifact  of  the  bimodal  size 
distribution  of  sampled  larvae.  Though  all  of  the 
prey  eaten  by  size-1  (<2.7  mm)  larvae  were  <300 
|xm  in  length,  the  more  varied  diet  of  larger  pre- 
flexion larvae  contained  some  copepods  as  big  as 
500  |xm.  There  is  therefore  nothing  in  these  data 
to  suggest  that  the  switch  from  microplanktonic 
to  macroplanktonic  prey  is  anything  but  a  grad- 
ual transition  as  the  larvae  grow. 

Brewer  and  Kleppel  (1986)  also  reported  a 
change  to  copepod  prey  in  white  croaker  larvae 
>6  mm.  Our  findings  are  further  similar  to  those 
of  Brewer  and  Kleppel  in  that  there  was  no  indi- 
cation that  food-seeking  had  anything  to  do  with 
the  descent  of  larval  white  croaker  from  mid- 
waters  to  the  near-bottom  zone.  The  other  defin- 
able dietary  trend  in  this  study  (besides  ontoge- 
netic change)  was  the  high  percentage  of  rotifers 
eaten  by  midwater  preflexion  larvae.  This  was 
apparently  related  to  subtle  but  important  differ- 
ences in  the  available  planktonic  prey — signifi- 
cantly, to  a  greater  abundance  of  suitable-size  ro- 
tifers— at  the  time  the  midwater  stratum  was 
sampled. 

It  seems  safest  to  conclude  that  white  croaker 
larvae  descend  toward  the  bottom  for  reasons 
quite  apart  from  seeking  food  (see  discussions  in 
Barnett  et  al.  [1984],  Brewer  and  Kleppel  [1986], 
Jahn  and  Lavenberg  [1986])  and  simply  eat  what- 
ever they  find  there  that  suits  them.  Many  poten- 
tial macroplanktonic  prey  also  favor  the  near- 
bottom  layer  (Jahn  and  Lavenberg  1986;  Barnett 
and  Jahn  1987).  Older  larvae  and  their  prey  may 
occupy  the  near-bottom  layer  for  different  rea- 
sons, or  it  may  be  that  a  single  advantage,  or  set 
of  pressures,  underlies  the  behavior  of  these  di- 
verse planktonic  and  semi-planktonic  taxa.  Some 
species  need  to  remain  near  shore,  and  living  in 
the  bottom  boundary  layer  helps  assure  this.  The 
boundary  layer  also  tends  to  be  more  turbid  than 
overlying  waters  and  so  may  lessen  an  animal's 
jeopardy  to  visual  (biting)  planktivores.  (The  gen- 


erality of  the  latter  explanation  only  holds  if 
suprabenthic  fish  larvae  are  less  important 
planktivores  than  other  water-column  inhabi- 
tants— see  Gushing  1983.) 

Rotifers  have  never  to  our  knowledge  been  re- 
ported as  an  important  food  of  ocean-caught  fish 
larvae,  even  though  the  genus  Brachionus  is  com- 
monly cultured  for  feeding  larval  fish  in  the  labo- 
ratory. Schmitt  (1986)  reported  that  small, 
laboratory-reared  larval  northern  anchovy  read- 
ily fed  upon  (unidentified)  wild-caught  rotifers. 
Rotifers  are  only  occasionally  abundant  in  neritic 
waters,  and  never  in  oceanic  waters  (J.  Beers^). 
Their  rarity  notwithstanding,  rotifers  have  the 
ability  very  rapidly  to  dominate  marine  mi- 
croplanktonic assemblages  (Hernroth  1983),  and 
their  good  food  quality  (Theilacker  1987)  and 
high  secondary  productivity  for  a  period  of  weeks 
might  constitute  a  significant  enhancement  to 
growth  and  survival  of  a  larval  fish  cohort. 

Our  previous  experience  in  handling  larval 
white  croaker  specimens  agrees  with  the  findings 
of  Brewer  and  Kleppel  (1986)  in  that  lamelli- 
branch  larvae,  easily  seen  through  the  body  wall, 
are  a  common  food  for  small  white  croaker  larvae. 
In  our  study,  this  taxon  was  a  minor  constituent 
of  the  plankton  and  of  the  larval  fish  diet.  We 
cannot  say  how  unusual  were  the  circumstances 
we  encountered,  but  we  know  that  in  terms  of 
diatom  numbers  and  larval  fish  diversity  these 
conditions  were  not  typical  of  March  on  the  south- 
ern California  continental  shelf  That  white 
croaker  larvae  appeared  to  find  these  conditions 
salubrious  may  be  one  reason  this  species  is  so 
successful  in  southern  California  (Love  et  al. 
1984). 

ACKNOWLEDGMENTS 

Thanks  go  to  S.  Caddell,  R.  Feeney,  T.  Garrett, 
R.  Lavenberg,  J.  McGowen,  J.  Petersen, 
J.  Rounds,  and  Captain  L.  Nufer  for  able  partici- 
pation in  the  field  work.  D.  Carlson-Oda, 
J.  Rounds,  and  S.  Shiba  helped  process  larval  fish 
samples,  and  H.  Schwarz  helped  prepare  the 
manuscript.  K.  Zabloudil  generously  loaned  the 
current  meters,  and  R.  Erdman  assisted  in  proc- 
essing data  therefrom.  We  also  thank  J.  Beers 
and  R.  Brusca  for  help  in  accessing  literature  on 
rotifers.  D.  Cohen,  R.  Lavenberg,  and  J.  Petersen 


5J.  Beers,  Scripps  Institution  of  Oceanography,  La  Jolla,  CA 
92093,  pers.  commun.  November  1986. 


260 


JAHN  ET  AL.:  FOOD-SEEKING  LARVAL  WHITE  CROAKER 


reviewed  the  manuscript.  The  Southern  Califor- 
nia Edison  Company  funded  the  study. 


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262 


NEW  MARINE  DECAPOD  CRUSTACEANS  FROM  WATERS  INFLUENCED  BY 
HYDROTHERMAL  DISCHARGE,  BRINE,  AND  HYDROCARBON  SEEPAGE 

Austin  B.  Williams^ 

ABSTRACT 

Five  species  of  decapod  crustaceans  new  to  science  are  described.  These  are  caridean  shrimps  of  the 
family  Bresiliidae — Alvinocaris  markensis  from  a  Mid-Atlantic  Rift  Valley  hydrothermal  field,  A. 
muricola  from  a  cold  brine  seep  at  the  foot  of  the  West  Florida  Escarpment  in  the  Gulf  of  Mexico,  and 
A.  stactophila  from  a  hydrocarbon  seep  on  the  continental  slope  of  the  northern  Gulf  of  Mexico,  with 
a  key  to  the  species  of  Alvinocaris ;  a  squat  lobster  of  the  family  Galatheidae — Munidopsis  alvisca 
from  the  Guaymas  Basin  and  from  the  Juan  de  Fuca  and  Explorer  ridges  in  the  eastern  Pacific;  and 
a  brachyuran  crab  of  the  family  Bythograeidae — Bythograea  mesatlantica  from  a  Mid-Atlantic  Rift 
Valley  hydrothermal  field.  Species  of  both  Alvinocaris  and  Bythograea  are  now  known  from  the 
eastern  Pacific  and  Mid-Atlantic.  Munidopsis  species  are  widely  represented  in  the  world  oceans. 


Deep  ocean  hydrothermally  active  fields  and 
waters  influenced  by  brine  and  hydrocarbon  seeps 
continue  to  yield  species  new  to  science.  Such  en- 
vironments were  unknown  until  explored  with 
the  aid  of  submersible  research  vessels  from 
which  observations  and  collections  could  be  ac- 
complished. The  species  of  decapod  crustaceans 
reported  here  come  from  hydrothermal  fields  in 
the  Mid- Atlantic  Rift  Valley,  the  Guaymas  Basin 
in  the  Golfo  de  California,  and  Juan  de  Fuca  and 
Explorer  Ridges  in  the  northeastern  Pacific,  a 
cold  brine  seep  at  the  foot  of  the  West  Florida 
Escarpment,  and  a  hydrocarbon  seep  on  the  con- 
tinental slope  of  the  northern  Gulf  of  Mexico. 
These  are  scattered  localities  that  exhibit  diverse 
environmental  conditions  but  that  are  bound 
together  by  the  common  thread  of  chemotrophic 
food  chains  (Childress  et  al.  1986;  Brooks  et  al. 
1987). 

The  material  from  the  Mid-Atlantic  Rift  Val- 
ley, West  Florida  Escarpment,  and  Guaymas 
Basin  was  observed  and  collected  by  scientists 
working  with  the  aid  of  the  DSRV  Alvin  and  RV 
Atlantis  II  based  at  the  Woods  Hole  Oceano- 
graphic  Institution.  That  from  the  northern  Gulf 
of  Mexico  came  from  the  Minerals  Management 
Service  Northern  Gulf  of  Mexico  Outer  Continen- 
tal Slope  (MMS/NGOMCS)  Regional  Office  Proj- 
ect, involving  observation  and  collection  of  mate- 
rial by  scientists  from  LGL  Ecological  Research 


iSystematics  Laboratory,  National  Marine  Fisheries  Service, 
NOAA,  National  Museum  of  Natural  History,  Washington, 
D.C.  20560. 


Manuscript  accepted  January  1988. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


Associates  and  Texas  A&M  University,  with  the 
aid  of  the  submersible  research  vessel  Johnson- 
Sea-Link  and  its  support  vessels.  Specimens  from 
Explorer  and  Juan  de  Fuca  Ridges  were  collected 
with  the  aid  of  the  Canadian  DSRV  Pisces  IV  and 
its  support  vessels. 

All  specimens  studied  are  deposited  in  the 
Crustacean  Collection  of  the  United  States  Na- 
tional Museum  of  Natural  History,  Smithsonian 
Institution,  Washington,  D.C.  20560. 

CARIDEA:  BRESILIIDAE 

Alvinocaris  Williams  and  Chace,  1982 

Three  species  of  bresiliid  shrimps  described 
below  as  new  to  science  are  placed  in  the  hereto- 
fore monotypic  genus  Alvinocaris.  Certain  fea- 
tures of  these  species  necessitate  minor  changes 
in  the  generic  diagnosis  by  Williams  and  Chace 
(1982)  as  follows:  Rostrum  with  or  without  ven- 
tral teeth.  Telson  with  2-5  pairs  of  principal 
spines  on  posterior  margin.  Strong  median  ster- 
nal spine  between  posterior  pair  of  pereopods. 

Moreover,  the  branchial  formula  seems  uni- 
formly fixed  in  this  genus  as  well  as  in  the  genus 
Rimicaris  Williams  and  Rona,  1986.  The  arrange- 
ment, figured  in  Williams  and  Chace  (1982)  and 
Williams  and  Rona  (1986)  may  be  described  as 
follows: 

Phyllobranchs  extensively  developed  in  2  se- 
ries; asymmetrically  Y-branched  pleurobranchs 
with  relatively  short  ventral  and  progressively 
longer  and  more  expansive  dorsal  ramus  associ- 

263 


FISHERY  BULLETIN;  VOL.  86,  NO.  2 


ated  with  pereopods  1-5;  smaller  and  more  nearly 
symmetrical  U-branched  arthrobranchs  of  more 
nearly  uniform  size  associated  with  third  maxil- 
liped  and  pereopods  1-4. 


Key  to  Known  Species  oi  Alvinocaris 

1.  Telson  with  terminal  margin  slightly  con- 
cave in  midline  and  bearing  3-5  pairs  of 

principal  spines    

A.  lusca  Williams  and  Chace 

Telson  with  terminal  margin  convex  and 
bearing  only  2  pairs  of  principal  spines  ...  2 

2.  Rostrum  with  ventral  margin  bearing  0-1 

subterminal  ventral  spines  

A.  stactophila  new  species 

Rostrum  with  ventral  margin  bearing  4  or 
more  subterminal  ventral  spines 3 

3.  Abdominal  segment  3  with  pleural  margin 
entire A.  markensis  new  species 

Abdominal  segment  3  with  pleural  margin 

obscurely  serrate   

A.  muricola  new  species 


Alvinocaris  markensis  new  species 

Figures  1,  2,  7 

Material— \JSnU  234286,  Holotype  9 
(crushed),  USNM  234287,  Paratypes,  2  9  (dam- 
aged), Mid-Atlantic  Rift  Valley  about  70  km 
south  of  Kane  Fracture  Zone  (see  Leg  106  Ship- 
board Scientific  Party  [1986];  Ocean  Drilling  Pro- 
gram Leg  106  Scientific  Party  [1986]), 
23°22.09'N,  44°57.12'W,  3,437  m,  Alvin  Dive 
1683,  MARK  vent,  Stn.  1,  scoop,  30  May  1986, 
pilot  D.  Foster,  observers  S.  Humphris  and  J.  Ed- 
mond.  From  NSF  Ocean  Drilling  Program-Leg 
106,  NSF  Grant  OCE-8311201  to  J.  F.  Grassle, 
Woods  Hole  Oceanographic  Institution,  Woods 
Hole,  MA. 

Measurements  in  mm. — Holotype  9,  postor- 
bital  carapace  length  4.16,  rostrum  2.3,  maxi- 
mum carapace  height  3.3,  total  length  about 
15.6.     Paratype  9,  same  2.7,  1.6,  2.4,  10.9. 

Description. — Integument  extremely  thin, 
264 


membranous,  shining,  with  a  few  minute  puncta- 
tions.  Rostrum  (Fig.  la,  6)  almost  straight, 
slightly  elevated  above  horizontal  in  distal  half, 
sharply  pointed  tip  usually  reaching  to  between 
midlength  of  second  and  tip  of  third  peduncular 
articles  of  antennule;  dorsal  margin  raised  into 
thin  serrate  crest  containing  12-17  teeth, 
strongest  in  central  sector  of  row,  with  about  1/3 
length  of  crest  continued  onto  carapace;  ventral 
margin  less  prominent  and  armed  with  5-8  sub- 
terminal  teeth;  tooth  formulas  examined,  17/8 
(holotype),  17/5,  12/5  (apparently  some  subtermi- 
nal dorsal  teeth  fused);  strong  lateral  carina 
broadened  proximally  and  confluent  with  orbital 
margin.  Carapace  with  acute  antennal  spine  dis- 
tinct; pterygostomian  spine  acuminate  and 
prominent.  Indistinct  antennal  groove  curving 
ventrad  to  intersect  associated  indistinct  groove 
at  about  midlength  of  carapace  and  continuing 
posteriad. 

Abdomen  of  female  (Fig.  Ic)  apparently 
broadly  arched  dorsally  (all  specimens  examined 
are  crushed),  gradually  tapering  posteriorly,  nar- 
rowest part  of  sixth  somite  about  1/2  width  of  first 
somite;  pleura  of  3  anterior  somites  broadly 
rounded,  that  of  fourth  somite  drawn  posterolat- 
erally  to  strong  acuminate  spine  flanked  dorsally 
by  0  or  1  much  more  slender  and  smaller  spine; 
posterolateral  corner  of  fifth  pleuron  strongly 
acuminate  to  nearly  right  angled  and  flanked 
dorsally  by  0-2  spines  of  variable  size  analogous 
to  condition  on  somite  4,  spine  number  possibly 
age  related;  sixth  somite  with  middorsal  length 
about  1.9  that  of  fifth,  broad  based  midlateral 
spine  overlapping  base  of  telson,  smaller  pos- 
terolateral spine  acute;  fourth  somite  with  small 
erect  spine  on  sternite  and  fifth  with  analogous 
strong,  posteriorly  directed  spine.  Telson  (Fig. 
\d)  elongate  subrectangular,  length  about  3.5 
anterior  width,  5.8  posterior  width,  and  about 
1.75  length  of  sixth  somite,  not  including  poste- 
rior spines;  armed  with  6-8  dorsolateral  spines 
of  nearly  uniform  size,  sometimes  bilaterally 
unequal  in  number;  posterior  margin  convex, 
armed  with  2  principal  spines  at  each  corner 
and  10-12  feathered  strong  setae  on  margin  be- 
tween. 

Eyes  (Fig.  la ,  6 )  with  cornea  imperfectly  devel- 
oped, unfaceted  though  diffusely  pigmented,  glob- 
ular to  ovate  in  outline  and  with  prominent  spine 
on  anterodorsal  edge. 

Antennular  peduncle  (Fig.  la,  6)  reaching  end 
of  antennal  scale;  basal  article  1.3  length  of  sec- 
ond and  about  3.0  length  of  third,  stylocerite  well 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


Figure  1. — Alvinocans  markensis,  holotype  $ :  a  part  of  cephalothorax  and  anterior  appendages,  lateral;  b  rostrum,  eye,  anten- 
nular  peduncle,  antennal  scale,  dorsal  of  left  side;  c  abdomen,  lateral;  cf  tail  fan;  cheliped,  e  mesial, /"lateral;  g  pereopod  2, 
h  chela.     Scales  =  2  mm:  I  ia,  c ,  d,  e ,  f,  g,  h)\2  ib). 


265 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


separated  from  peduncle,  tapering  to  slender 
elongate  tip  reaching  about  1/4  length  of  second 
article,  basal  article  with  distodorsal  margin 
flanked  by  transverse  row  of  setae,  extended  into 
strong  lateral  spine  reaching  level  equal  to  that  of 
stylocerite  and  closely  appressed  to  second  article; 
shorter  second  article  with  strong  mesiodistal  ap- 
pressed spine.  Dorsolateral  flagellum  about  1.5 
length  of  carapace,  thickened  proximal  half  bear- 
ing conspicuous  ventral  setae;  ventromesial  flag- 
ellum somewhat  more  slender  in  lateral  view  and 
shorter. 

Antennal  scale  (Fig.  la,  6)  about  2.5  as  long  as 
wide,  distolateral  tooth  falling  short  of  distome- 
sial  apex  of  broadly  rounded  distal  margin  of 
blade;  basal  article  with  strong  ventrolateral 
spine;  flagellum  slightly  exceeding  length  of  body 
(missing  from  holotype). 

Mandibles  (Fig.  2g)  similar,  with  2-segmented 
palp,  incisor  process  broad  and  armed  with  8 
marginal  teeth,  slender  molar  process  simple, 
divergent,  its  narrowly  rounded  tip  minutely 
setose. 

First  maxilla  (Fig.  2h)  with  proximal  endite 
asymmetrically  oval-triangular,  distal  margin 
bearing  many  long  setae;  distal  endite  with  nar- 
rowed base  but  broadened  distally,  armed  with 
many  (about  37)  short  spines  on  mesial  margin 
and  with  scattered  longer  spinules  marginally 
and  submarginally  beyond  either  end  of  spine 
row;  palp  scarcely  bifurcated,  with  long  distal 
spine  on  obsolescent  proximomesial  branch  and  1 
shorter  submarginal  spine  on  distal  branch. 

Second  maxilla  (Fig.  2i)  with  proximal  endite 
represented  by  2  similar  lobes;  distal  endite  sub- 
triangular,  expanded  mesiodistally  and  paral- 
leled laterally  by  narrow  somewhat  twisted  palp, 
scaphognathite  with  anterior  lobe  rectangulo- 
ovate,  fringed  with  uniformly  long,  silky  setae  on 
anterior  and  mesial  borders,  shorter  setae  along 
entire  lateral  margin;  posterior  lobe  narrowly 
ovate-triangular,  fringed  on  blunt  tip  and  adja- 
cent mesial  margin  by  strikingly  long,  tangled, 
strong  setae  preceded  proximally  by  shorter  setae 
similar  to  those  on  lateral  margin. 

First  maxilliped  (Fig.  2j,  partly  flattened  view) 
with  irregularly  fusiform  endite,  short  palp  much 
exceeded  in  length  and  size  by  leaflike  exopod, 
epipod  obscurely  bilobed. 

Second  maxilliped  (Fig.  2k,  I)  somewhat  pedi- 
form  but  flattened,  mesial  margin  of  articles 
bearing  long,  feathered  setae,  mesial  surface  of 
terminal  article  densely  setose,  tip  of  exopod  ex- 
ceeding leaflike  epipod. 


Third  maxilliped  (Fig.  2m,  n)  slender,  5- 
segmented,  reaching  beyond  antennular  pedun- 
cle; terminal  segment  trigonal  in  cross  section, 
tapered  distally,  bearing  3  terminal  spines, 
oblique  tracts  of  dense  setae  along  mesial  surface; 
similar  tract  of  setae  on  carpus  and  another  less 
conspicuous  group  on  merus-ischium,  latter  with 
distolateral  spine  at  articulation  with  carpus;  ex- 
opod much  reduced,  ovate-triangular,  without 
lash. 

First  pereopods  (Fig.  le,  f)  chelate,  subequal; 
fingers  curved  ventrally  and  slightly  laterad; 
dactyl  much  more  slender  than  and  slightly 
longer  than  fixed  finger;  mesial  surface  of  each 
finger  convex,  lateral  surface  deeply  concave;  pre- 
hensile surfaces  uniformly  offset,  closing  without 
gape,  each  armed  with  row  of  almost  uniform 
teeth  so  closely  set  as  to  be  almost  contiguous, 
line  of  sensory  hairs  mesial  to  cutting  edges, 
acute  tip  of  dactyl  slightly  spooned  by  elongate 
teeth  slanted  distad  and  curving  around  its  exter- 
nal edge.  Leg  not  reaching  tip  of  third  maxilliped 
and  exceeding  antennal  peduncle.  Palm  of  holo- 
type female  inflated,  length  slightly  greater  than 
height  and  shorter  than  fingers  (0.60);  low  ridge 
ending  in  small  hooked  spine  on  proximomesial 
surface  near  articulation  with  carpus.  Carpus 
longer  than  palm;  bearing  oblique  ventral  crest 
ending  in  strong  distoventral  spine  and  flanked 
mesially  by  patch  of  setae  on  triangular  raised 
area;  rectangular  distal  notch  above  spine  fol- 
lowed by  oblique  distomesial  margin  leading  to 
poorly  defined  spine  at  condyle  articulating  with 
palm;  distolateral  margin  with  rounded  ventral 
corner  leading  to  sinuous  border  above  it  bearing 
2  lobes  near  articulation  with  palm.  Merus  some- 
what swollen  is  distal  half  and  bearing  small  dis- 
tomesial spine,  distinct  from  ischium  but  fused  to 
it. 

Second  pereopod  (Figs.  1^,  h;  11)  shorter  and 
more  slender  than  first,  but  reaching  beyond  an- 
tennal peduncle  by  about  length  of  fingers.  Fin- 
gers slightly  shorter  than  palm,  similar  in  size 
and  shape;  opposed  edges  without  gape,  each 
spineless  proximally,  but  distal  half  pectinate 
with  single  row  of  spines  directed  obliquely  distad 
and  increasing  slightly  in  size  to  end  in  notice- 
ably stronger  spine  crossing  opposite  member 
when  closed.  Carpus  slender,  about  0.9  length  of 
chela;  merus  and  ischium  unarmed. 

Third  to  fifth  pereopods  (Fig.  2a-f)  similar  in 
length  and  structure,  third  reaching  distal  edge  of 
antennal  scale.  Length  articles  of  these  legs  in 
holotype  9,  mm: 


266 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


Figure  2. — Alvinocaris  markensis ,  holotype  9:  a  pereopyod  3,  b  dactyl;  c  pereopod  4,  d  dactyl;  e  p)ereopK)d  5,  f 
dactyl;  g  mandible;  h  maxilla  1;  i  maxilla  2;  j  maxilliped  1  partly  flattened;  maxilliped  2,  k  endopod,  ventral,  I  part 
of  exopod  dorsal;  maxilliped  3,  m  ventral,  n  dorsal,  distal  articles  only.  Scales:  Uk,  I)  =  1  mm;  2  (6,  d,f,g,  A)  =  1  mm; 
3(a,c,e,i,j,m,n)  =  2  mm. 


267 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


3rd 
4th 
5th 


ischio- 
merus 

6.14 
5.76 
5.44 


carpus  propodus 


2.56 
2.18 
2.30 


3.78 
4.12 
5.44 


dactyl 

0.64 
0.70 
0.64 


Each  short  dactyl  armed  with  5  spines  on  flexor 
surface,  grading  from  small  proximally  to  longest 
and  strongest  distally,  often  a  sensory  seta  on 
extensor  surface.  Propodi  with  setae  along  flexor 
surface  progressively  more  crowded  distally. 
Carpi  with  distodorsal  extension  projecting  as  a 
stop  along  proximal  part  of  propodal  extensor  sur- 
face. Third  leg  stronger,  at  least  in  merus- 
ischium,  than  fourth  and  fifth;  merus  of  third  and 
fourth  with  closely  appressed  ventral  spine  at  1/2 
and  3/4  length,  that  of  fifth  with  spines  at  1/3  and 
2/3  length,  distal  spine  strongest  in  each  case; 
ischium  of  third  and  fourth  leg  with  2  spines  in 
line  with  those  on  merus. 

Pleopods  well  developed,  pair  1  with  endopods 
about  half  length  of  exopods,  tapering  to  acute 
tip;  appendices  internae  simple,  that  of  pair  5 
with  blunt  tip. 

Uropod  (Fig.  Id)  with  rami  subequal  in  length, 
slightly  exceeding  distal  end  of  telson,  lateral 
ramus  with  movable  spine  mesial  to  smaller  dis- 
tolateral  tooth,  diaeresis  sinuous. 

Remarks. — Remarks  are  given  in  the  account 
for  A.  stactophila. 

Etymology. — The  name  is  taken  from  an 
acronym  for  the  site  of  collection  in  the  Mid- 
Atlantic  Ridge  Valley  about  70  km  south  of  an 
area  known  as  the  Kane  Fracture  Zone,  "MARK", 
and  the  Latin  genitive  suffix  "ensis". 


Alvinocaris  muricola  new  species 

Figures  3,  4,  7 

Material  .—\JSnU  234288,  Holotype  c^  (ceph- 
alothorax  and  abdomen  broken  apart),  USNM 
234289,  Allotype  9,  West  Florida  Escarpment, 
26°01'N,  84°54.61'W,  3,277  m,  Alvin  Dive  1754, 
15  October  1986,  pilot  W.  Sellers,  observers 
R.  Carney  and  B.  Hecker.  USNM  234290,  Para- 
type  9 ,  West  Florida  Escarpment,  same  locality, 
Alvin  Dive  1753,  14  October  1986,  pilot  P.  Tib- 
betts,  observers  R.  Carney  and  G.  Knauer.  All 
from  Barbara  Hecker,  Lamont  Geological  Ob- 
servatory, Columbia  University,  Palisades,  NY. 


Measurements  in  mm. — Holotype  6,  postor- 
bital  carapace  length  6.4,  rostrum  4.4,  maximum 
carapace  height  4.5.  Allotype  9 ,  same,  6.4,  ros- 
trum broken,  5.6. 

Description. — Integument  thin,  shining,  mi- 
nutely punctate.  Rostrum  (Fig.  3a,  b)  almost 
straight  to  slightly  upturned  in  distal  half, 
sharply  pointed  tip  reaching  to  proximal  part  of 
third  peduncular  article  of  antennule;  dorsal  mar- 
gin raised  into  thin  serrate  crest  containing  17-21 
teeth  varying  from  obliquely  erect  in  proximal 
part  to  nearly  horizontal,  shorter  and  more  dis- 
tant distally,  about  1/3  length  of  crest  continued 
onto  carapace;  ventral  margin  much  less  promi- 
nent and  armed  with  row  of  6  correspondingly 
smaller  subterminal  teeth,  sometimes  obscure; 
lateral  carina  broadened  proximally  and  conflu- 
ent with  orbital  margin.  Carapace  (Fig.  3a )  with 
broad  based  but  slender,  acuminate  antennal 
spine;  pterygostomian  spine  correspondingly 
acuminate  and  prominent.  Prominent  anterior 
antennal  carina  curving  posteroventrally  to  in- 
tersect obliquely  with  carina  extending  from 
pterygostomian  spine  at  about  midlength  of  cara- 
pace, associated  groove  continuing  indistinctly 
posteriad. 

Abdomen  (Fig.  3d,e,f)  of  both  male  and  female 
broadly  arched  dorsally,  gradually  tapering  dis- 
tally, narrowest  part  of  sixth  somite  less  than  2/3 
(0.60)  width  of  first  somite;  pleura  of  3  anterior 
somites  broadly  rounded,  margin  of  third  slightly 
serrated,  that  of  fourth  somite  drawn  posterolat- 
erally  to  strong  spine  flanked  dorsally  by  0-3 
more  slender  and  smaller  spines  and  preceded  on 
ventral  margin  by  0-2  small  spines;  number,  po- 
sition, and  shape  of  either  lateral  or  ventral 
spines  may  be  asymmetrical;  posterolateral  cor- 
ner of  fifth  pleura  acuminate  and  flanked  dorsally 
by  1  or  2  spines  analogous  to  those  on  somite  4; 
sixth  somite  with  middorsal  length  about  1.7  that 
of  fifth,  broad-based  midlateral  spine  overlapping 
base  of  telson,  smaller  posterolateral  spine  acute; 
fourth  and  fifth  somites  each  with  strong,  posteri- 
orly directed  spine  on  sternite.  Telson  (Fig.  3^) 
elongate  subrectangular,  length  about  3.0  ante- 
rior width,  6.8  posterior  width,  and  about  1.4 
length  of  sixth  somite,  not  including  posterior 
spines;  armed  with  7  dorsolateral  spines  of  nearly 
uniform  size;  posterior  margin  convex,  armed 
with  2  principal  spines  at  each  corner  and  10  or  11 
feathered  strong  setae  on  distal  margin  between. 

Eyes  (Fig.  3a,  b)  with  cornea  imperfectly  devel- 
oped,   unfaceted    though    diffusely    pigmented. 


268 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


Figure  3. — Alvinocaris  muricola,  holotype  d:  a  cephalothorax  and  anterior  appendages,  lateral;  b  rostrum,  eye,  antennular 
peduncle,  antennal  scale,  dorsal  of  right  side;  c  antennular  peduncle,  distal  articles,  mesial;  abdomen  with  variations  in  spination 
of  pleural  margins  fof  allotype  1 1,  d  lateral,  e  margin  of  pleuron  3  from  opposite  side,  /"(of  holotjT)e  d  )  segments  4  and  5;  g  tail 
fan;  h  median  sternal  spine  between  fifth  pereopods;  i  median  sternal  spine  on  abdominal  segment  5;  cheliped,  j  mesial,  k 
lateral;     I,  m,  n,  o  pereopods  2,  3,  4,  5.     Scales  =  1  mm:  1  (a-g,j-o);  2  (h,  i). 


269 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


ovate  in  outline,  though  fused  to  each  other 
mesially,  and  each  with  a  short  upturned  spine  on 
anterior  surface. 

Antennular  peduncle  (Fig.  3a,  6,  c)  reaching 
beyond  end  of  antennal  scale;  basal  article  1.1  as 
long  as  second  and  about  2.5  as  long  as  third,  all 
measured  on  ventral  margin;  stylocerite  well  sep- 
arated from  peduncle,  tapering  to  slender  elon- 
gate tip  reaching  tip  of  distolateral  spine  on  basal 
article;  latter  exceeding  distodorsal  margin  of  ar- 
ticle, fringed  by  transverse  subdistal  row  of  setae, 
and  closely  appressed  to  second  article,  distome- 
sial  spine  much  smaller;  shorter  second  article 
with  stronger  mesiodistal  spine.  Dorsolateral 
flagellum  about  length  of  carapace,  thickened  in 
basal  2/3,  with  annulations,  except  at  base,  longer 
in  female  than  in  male  and  much  longer  than  in 
whiplike  distal  part;  ventromesial  flagellum 
somewhat  shorter  and  with  annulations  of  vari- 
able but  shorter  length. 

Antennal  scale  (Fig.  3a,  6)  about  twice  as  long 
as  wide,  distolateral  tooth  strong,  falling  slightly 
short  of  broadly  rounded  distal  margin  of  blade; 
basal  article  with  acute  distal  spine  ventrally; 
flagellum  (broken  in  material  studied)  probably 
slightly  exceeding  length  of  body. 

Mandibles  (Fig.  4a)  similar,  with  2-segmented 
palp,  incisor  process  broad  and  armed  with  8  mar- 
ginal teeth,  slender  molar  process  simple,  diver- 
gent, its  narrowly  rounded  tip  minutely  setose. 

First  maxilla  (Fig.  46)  with  proximal  endite 
asymmetrically  oval-triangular,  distal  margin 
bearing  many  long  setae;  distal  endite  with  nar- 
rowed base  but  broadened  distally,  armed  with 
many  (about  30)  short  spines  on  mesial  margin 
and  with  scattered  longer  spinules  submarginally 
and  marginally  beyond  either  end  of  spine  row; 
palp  scarcely  bifurcated,  with  long  distal  spine  on 
obsolescent  proximomesial  branch  and  1  shorter 
submarginal  spine  on  distal  branch. 

Second  maxilla  (Fig.  4c,  c?)  with  proximal  en- 
dite represented  by  2  similar  lobes;  distal  endite 
subtriangular,  expanded  mesiodistally  and  paral- 
leled laterally  by  narrow,  somewhat  twisted  palp; 
scaphognathite  with  anterior  lobe  rectangulo- 
ovate,  fringed  with  uniformly  long,  silky  setae  on 
anterior  and  mesial  borders,  uniformly  shorter 
setae  along  entire  lateral  margin;  posterior  lobe 
narrow  and  acuminate,  fringed  on  blunt  tip  and 
adjacent  mesial  margin  by  strikingly  long, 
strong,  tangled  setae  preceded  proximally  by 
shorter  setae  similar  to  those  on  lateral  margin. 

First  maxilliped  (Fig.  4e,  f)  with  irregularly 
fusiform  endite,  short  palp  concealed  and  much 


exceeded  in  length  and  size  by  leaflike  exopod, 
epipod  obscurely  bilobed;  indistinct  mesial  lobule 
on  exopod  possibly  representing  incipient  lash. 

Second  maxilliped  (Fig.  4g,  h)  somewhat  pedi- 
form  but  flattened,  mesial  margin  of  articles 
bearing  long,  feathered  setae,  mesial  surface  of 
terminal  article  densely  setose,  exopod  barely  ex- 
ceeding leaflike  epipod. 

Third  maxilliped  (Fig.  4i,  j)  slender,  5- 
segmented,  reaching  beyond  antennular  pedun- 
cle; terminal  article  trigonal  in  cross  section,  ta- 
pered distally,  bearing  3  spines,  transverse  tracts 
of  dense  setae  along  mesial  surface;  similar  tract 
of  setae  on  carpus  and  another  conspicuous  group 
mesiodistally  on  merus-ischium,  latter  with  stout 
distolateral  spine  at  articulation  with  carpus; 
exopod  much  reduced,  subtriangular,  without 
lash. 

First  pereopods  (Figs.  3^,  k;  If-k)  chelate, 
subequal  and  sexually  dimorphic,  at  least  in  fully 
mature  individuals;  fingers  curved  ventrally  and 
slightly  laterad;  dactyl  more  slender  than  and 
with  level  of  tip  slightly  shorter  than  or  equal  to 
that  of  fixed  finger;  mesial  surface  of  each  finger 
convex,  lateral  surface  concave,  with  opposed  sur- 
faces uniformly  offset;  closing  without  gape,  each 
armed  on  prehensile  edge  with  row  of  almost  uni- 
form teeth  so  closely  set  as  to  be  almost  contigu- 
ous, acute  tip  of  dactyl  slightly  spooned  by  elon- 
gate teeth  slanted  distad  and  curving  around  its 
external  edge;  line  of  sensory  hairs  mesial  to  cut- 
ting edges.  Leg  shorter  than  to  almost  equaling 
third  maxilliped.  Palm  of  holotype  male  inflated 
laterally,  but  apparently  somewhat  irregularly 
concave  mesially,  length  1.4  greatest  height  and 
longer  than  fingers;  palm  relatively  shorter  in 
allotype  female,  0.3  length  of  fingers.  Carpus 
shorter  than  palm,  with  oblique  ventral  crest  end- 
ing in  strong  distolateral  spine,  flanked  mesially 
by  patch  of  setae  on  polygonal  raised  area.  Merus 
somewhat  swollen  in  distal  half,  distinct  from  is- 
chium but  fused  to  it,  neither  armed. 

Second  pereopod  (Figs.  3/ ;  7e )  shorter  and  more 
slender  than  first,  reaching  about  to  end  of  anten- 
nal peduncle;  fingers  slightly  longer  than  palm, 
similar  in  size  and  shape,  opposed  edges  without 
gape,  each  pectinate  with  single  row  of  teeth  in 
distal  half  directed  obliquely  distad  and  increas- 
ing slightly  in  size  to  end  in  noticeably  stronger 
tooth  crossing  opposite  member  when  closed,  but 
spineless  proximally;  carpus  slender,  about  1.16 
longer  than  chela;  merus  and  ischium  unarmed. 

Third  to  fifth  pereopods  (Fig.  3m,  n,o)  similar 
in  length  and  structure,  third  reaching  to  tip  of  or 


270 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


2. 


Figure  4. — Aluinocaris  muricola,  holotype  6:  a  mandible;  6  maxilla  1;  maxilla  2,  c  ventral,  d  palp  dorsal;  maxilliped  1, 
e  ventral,  /"dorsal;  maxilliped  2, g  ventral, /i  dorsal;  maxilliped  3,  j  ventral,  _/ dorsal;  ^  endopod  of  pleopod  1;  /appendix 
masculina,  pleopod  2.     Scales:  I  (e,  f,  g,j ,  o,  k,  I)  =  1  mm;  2  (c,  d)  =  1  mm;  3  (/)  =  0.2  mm;  4  (a,  6)  =  0.2  mm. 


271 


FISHERY  BULLETIN;  VOL  86,  NO  2 


slightly  beyond  antennal  scale.  Length  articles  of 
these  legs  in  holotype  6 ,  mm: 

ischium       merus      carpus      propodus      dactyl 


3rd 

1.76 

3.84 

2.33 

2.34 

0.35 

4th 

1.60 

3.52 

1.98 

3.04 

0.06 

5th 

1.60 

3.20 

2.43 

4.96 

0.42 

Each  short  dactyl  armed  with  about  4-6  corneous 
spines  on  flexor  surface,  grading  from  small  prox- 
imally  to  longest  and  strongest  distally;  carpus  of 
each  with  distodorsal  extension  projecting  as  a 
stop  along  proximal  part  of  propodal  extensor 
surface;  third  leg  stronger,  at  least  in  merus- 
ischium,  than  fourth  and  fifth,  but  propodus  suc- 
cessively longer  from  third  to  fifth;  merus  of  each 
with  ventral  spine  at  1/3  and  2/3  length;  ischium 
of  third,  fourth,  and  fifth  leg  with  2  spines  in  line 
with  those  on  merus. 

Pleopods  well  developed;  first  pair  with  en- 
dopods  about  1/2  length  of  exopods  in  both  sexes, 
narrowed  into  distomesial  projection  in  male  (Fig. 
4k)  but  evenly  tapered  in  female;  appendix  mas- 
culina  (Fig.  41)  of  second  pair  in  male  (holotype) 
armed  with  7  slender  spines  extending  beyond 
level  of  simple  slender  appendix  interna;  en- 
dopods  of  third  to  fifth  in  male  and  second  to  fifth 
in  female  with  simple  slender  appendix  interna, 
but  that  of  fifth  blunt  tipped. 

Uropod  (Fig.  3^)  with  rami  subequal  in  length, 
lateral  ramus  slightly  exceeding  distal  end  of  tel- 
son,  and  with  movable  spine  mesial  to  smaller 
distolateral  tooth,  diaeresis  sinuous. 

Remarks. — Remarks  are  given  in  the  account 
for  A.  stactophila. 

Etymology. — The  name  is  from  the  Latin 
"muria",  brine,  and  "cola",  inhabiting,  for  associ- 
ation of  the  species  with  cold  brine  seeping  from 
the  base  of  the  West  Florida  Escarpment. 

Alvinocaris  stactophila  new  species 

Figures  5,  6,  7 

Material  .—\]SnM  234291,  Holotype  d, 
USNM  234292,  Allotype  9,  USNM  234293, 
Paratypes,  5  c?,  2  9;  north  central  Gulf  of  Mexico 
about  129  km  (80  miles)  S  of  Louisiana, 
27°46.94'N,  9r30.34'W,  534  m,  Johnson-Sea- 
Link  Dive  1879,  28  September  1986,  Bush  Hill 
hydrocarbon  seep.  From  Linda  H.  Pequegnat  and 


Randall  Howard,  LGL  Ecological  Research  Asso- 
ciates, Bryan,  TX,  supported  by  partial  funding 
for  Minerals  Management  Service-Northern  Gulf 
of  Mexico  contract  14-12-0001-30212. 

Measurements  in  mm. — Holotype  6,  postor- 
bital  carapace  length  7.0,  rostrum  2.7,  maximum 
carapace  height  5.3,  total  length  about  25.  Allo- 
type 9 ,  same  6.8,  2.0,  5.9,  24.  Paratype  6 ,  same 
4.2,  1.9,  3.2,  total  length  not  measured;  paratype 
9,  same,  4.9,  2.0,  4.1. 

Description. — Integument  thin,  shining,  mi- 
nutely punctate.  Rostrum  (Fig.  5a,  b)  almost 
straight,  imperceptibly  elevated  above  horizontal 
in  distal  half,  sharply  pointed  tip  usually  reach- 
ing proximal  level  of  second  peduncular  article  of 
antennule,  but  sometimes  to  proximal  part  of 
third  peduncular  article;  dorsal  margin  raised 
into  thin  serrate  crest  containing  12-17  teeth, 
strongest  in  central  sector  of  row,  with  about  1/2 
length  of  crest  continued  onto  carapace;  ventral 
margin  less  prominent  and  armed  with  0  or  1 
subterminal  tooth;  sample  tooth  formulas  11/1, 
12/0,  14/1,  17/1;  lateral  carina  broadened  proxi- 
mally  and  confluent  with  orbital  margin.  Cara- 
pace (Fig.  5a,  b)  with  buttressed  acuminate  an- 
tennal spine  distinct;  pterygostomian  spine 
acuminate  and  prominent.  Prominent  anterior 
antennal  carina  curving  posteroventrally  to  in- 
tersect obliquely  with  carina  extending  from 
pterygostomial  spine  at  about  midlength  of  cara- 
pace, associated  groove  continuing  indistinctly 
posteriad. 

Abdomen  (Fig.  5d)  of  both  male  and  female 
broadly  arched  dorsally,  gradually  tapering  dis- 
tally, narrowest  part  of  sixth  somite  less  than  1/2 
(0.44)  width  of  first  somite;  pleura  of  3  anterior 
somites  broadly  rounded,  that  of  fourth  somite 
drawn  posterolaterally  to  acuminate  spine 
flanked  dorsally  by  0-3  much  more  slender  and 
smaller  spines;  posterolateral  corner  of  fifth 
pleuron  varying  from  strongly  acuminate  to 
nearly  rectangular  and  flanked  dorsally  by  2-5 
spines  analogous  to  those  on  somite  4;  sixth 
somite  with  middorsal  length  about  1.8  that  of 
fifth,  broad-based  midlateral  spine  overlapping 
base  of  telson,  smaller  posterolateral  spine  acute; 
fourth  and  fifth  somites  each  with  strong,  posteri- 
orly directed  spine  on  sternite.  Telson  (Fig.  5e) 
elongate  subrectangular,  length  about  2.8  ante- 
rior width,  5.2  posterior  width,  and  about  1.7 
length  of  sixth  somite,  not  including  posterior 
spines;  armed  with  5-8  dorsolateral  spines  of 


272 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


Figure  5 — Alvinocaris  stactophila,  holotype  6:  a  cephalothorax  and  anterior  appendages,  lateral;  6  rostrum,  eye,  antennular 
peduncle,  antennal  scale,  dorsal  of  left  side;  c  antennular  peduncle,  distal  articles,  mesial;  d  abdomen,  lateral;  e  tail 
fan.     Allotype  9:  cheliped,  /"mesial,  g  lateral;  h,  i,j,  k  pereopods  2,  3,  4,  5.     Scale  =  2  mm. 


273 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


nearly  uniform  size,  occasionally  unequal  in 
number  on  either  side;  posterior  margin  convex, 
armed  with  2  principal  spines  at  each  corner  and 
8-12  feathered  strong  setae  on  distal  margin  be- 
tween. 

Eyes  (Fig.  5a,  6)  with  cornea  imperfectly  devel- 
oped; unfaceted  though  diffusely  pigmented  in 
adults,  but  with  internal  facetlike  pattern  in 
smaller  individuals;  ovate  in  outline  though  fused 
to  each  other  mesially,  and  each  with  an  up- 
turned spine  on  anterodorsal  surface. 

Antennular  peduncle  (Fig.  5a,  b,  c)  reaching 
beyond  end  of  antennal  scale;  basal  article  1.3 
length  of  second  and  about  2.2  length  of  third,  all 
measured  on  dorsal  margin;  stylocerite  well  sepa- 
rated from  peduncle,  tapering  to  slender  elongate 
tip  variably  reaching  as  far  as  midlength  of  sec- 
ond article;  basal  article  with  distodorsal  margin 
exceeded  by  rostral  tip  though  extended  into 
strong  lateral  spine  reaching  level  equal  to  that  of 
stylocerite  and  closely  appressed  to  second  article, 
much  smaller  distomesial  spine  slightly  diver- 
gent; shorter  second  article  with  stronger 
mesiodistal  spine.  Dorsolateral  flagellum  about 
twice  length  of  carapace,  thickened  in  basal  half; 
ventromesial  flagellum  somewhat  shorter. 

Antennal  scale  (Fig.  5a,  b)  about  twice  as  long 
as  wide,  distolateral  tooth  strong,  falling  short  of 
broadly  rounded  distal  margin  of  blade;  basal  ar- 
ticle with  small  distal  spine  ventrally;  flagellum 
slightly  exceeding  length  of  body. 

Mandibles  (Fig.  6a)  similar,  with  2-segmented 
palp,  incisor  process  broad  and  armed  with  7  mar- 
ginal teeth,  slender  molar  process  simple,  diver- 
gent, its  narrowly  rounded  tip  minutely  setose. 

First  maxilla  (Fig.  66)  with  proximal  endite 
asymmetrically  oval-triangular,  distal  margin 
bearing  about  25  long  setae;  distal  endite  with 
narrowed  base  but  broadened  distally,  armed 
with  many  short  spines  on  mesial  margin  and 
with  scattered  longer  spinules  submarginally  and 
marginally  beyond  either  end  of  spine  row;  palp 
scarcely  bifurcated,  with  long  distal  spine  on  ob- 
solescent proximomesial  branch  and  shorter  adja- 
cent submarginal  spine  and  tangled  setae  on  dis- 
tal branch. 

Second  maxilla  (Fig.  6c)  with  proximal  endite 
represented  by  2  similar  lobes;  distal  endite  sub- 
triangular,  expanded  mesiodistally  and  paral- 
leled laterally  by  narrow  somewhat  twisted  palp; 
scaphognathite  with  anterior  lobe  rectangulo- 
ovate,  fringed  with  uniformly  long,  silky  setae  on 
anterior  and  mesial  borders,  uniformly  shorter 
setae  along  entire  lateral  margin,  posterior  lobe 


narrow  and  acuminate,  fringed  on  blunt  tip  and 
adjacent  mesial  margin  by  strikingly  long,  tan- 
gled strong  setae  preceded  proximally  by  shorter 
setae  similar  to  those  on  lateral  margin. 

First  maxilliped  (Fig.  6d,  e)  with  irregularly 
fusiform  endite,  short  palp  concealed  and  much 
exceeded  in  length  and  size  by  leaflike  exopod, 
epipod  obscurely  bilobed;  indistinct  mesial  lobule 
on  exopod  possibly  representing  incipient  lash. 

Second  maxilliped  (Fig.  6f,  g )  somewhat  pedi- 
form  but  flattened,  mesial  margin  of  articles 
bearing  long,  feathered  setae,  mesial  surface  of 
terminal  article  densely  setose,  exopod  barely  ex- 
ceeding leaflike  epipod. 

Third  maxilliped  (Fig.  6h,  i,  j)  slender,  5- 
segmented,  reaching  beyond  antennular  pedun- 
cle; terminal  article  trigonal  in  cross  section, 
tapered  distally,  bearing  3  spines,  transverse 
tracts  of  dense  setae  along  mesial  surface;  similar 
tract  of  setae  on  carpus  and  another  less  conspic- 
uous group  on  merus-ischium,  latter  with  stout 
distolateral  spine  at  articulation  with  carpus; 
exopod  much  reduced,  subtriangular,  without 
lash. 

First  pereopods  (Figs.  5f,  g;  7c,  d)  chelate, 
subequal  and  sexually  dimorphic,  at  least  in  fully 
mature  individuals;  fingers  curved  ventrally  and 
slightly  laterad;  dactyl  more  slender  than  fixed 
finger,  tips  varying  slightly  in  relative  length; 
mesial  surface  of  each  finger  convex,  lateral  sur- 
face concave;  prehensile  surfaces  uniformly  off- 
set, closing  without  gape,  each  armed  with  row  of 
almost  uniform  teeth  so  closely  set  as  to  be  almost 
contiguous,  line  of  sensory  hairs  mesial  to  cutting 
edges,  acute  tip  of  dactyl  slightly  spooned  by  elon- 
gate teeth  slanted  distad  and  curving  around  ex- 
ternal edge.  Leg  exceeding  third  maxilliped  by 
length  of  fingers  in  holotype  male,  but  shorter 
than  third  maxilliped  in  other  individuals.  Palm 
inflated  in  holotype  male,  length  1.4  greatest 
height  and  longer  than  fingers;  palm  relatively 
shorter  in  allotype  female  and  other  individuals 
examined,  0.3  length  of  fingers.  Carpus  shorter 
than  palm  in  holotype  but  longer  than  palm  in 
remainder  of  specimens  examined,  bearing 
oblique  ventral  crest  ending  in  strong  distolateral 
spine  and  flanked  mesially  by  patch  of  setae  on 
polygonal  raised  area;  notch  above  spine 
smoothly  concave  and  opposing  low  ridge  ending 
in  small  rounded  spine  on  heel  of  palm;  shallowly 
concave  anteromesial  margin  of  carpus  leading 
dorsally  to  2  low  rounded  lobes.  Merus  somewhat 
swollen  in  distal  half,  distinct  from  ischium  but 
fused  to  it,  neither  armed. 


274 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


1. 


2. 


Figure  6. — Alvinocans  stactophila,  allotype  9:  a  mandible;  b  maxilla  1;  c  maxilla  2;  maxilliped  1,  d  ventral,  e  dor- 
sal; maxilliped  2,  /"ventral,  g  dorsal;  maxilliped  3,  h  ventral, ;  dorsal, y  exopod.  Paratype  6:  k  endopod  of  pleopod  1;  I  appendix 
masculina,  pleopod  2.     Scales:  1  id-g,  k)  =  \  mm;  2  (a,  6)  =  0.5  mm;  3  (/)  =  0.3  mm;  4  (c)  =  1  mm. 


275 


FISHERY  BULLETIN:  VOL  86,  NO.  2 


Figure  7. — Parts  of  Alvinocaris  chelae  viewed  by  SEM.  A.  stactophila:  fingers  of  small  chela,  a  mesial,  b  dorsal;  fingers  of  large 
chela  showing  finely  toothed  opposed  edges  near  tips,  c  mesial,  teeth  flush  with  convex  surface,  d  lateral,  teeth  marginal  on  spooned 
tips,  with  points  rounded  on  dactyl,  acute  on  fixed  finger.  A.  muricola:  e  fingers  of  small  chela,  lateral;  /large  chela  and  distal 
part  of  carpus,  lateral.     Scales:  100  p.m,  d;  200  ^.m,  a-c;  500  |j.m,  e;  1  mm,  f. 


276 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


Figure  7. — Continued. — Alvinocaris  muricola :  fingers  of  large  chela  showing  finely  toothed  opposed  edges  neair  tips,  g  teeth  flush 
with  convex  mesial  surface,  h  spooned  lateral  surface  of  same,  points  rounded  on  dactyl,  acute  on  fixed  finger;  close-up  lateral  view 
of  teeth  and  associated  sensory  setae,  teeth  of  fixed  finger  in  foreground  and  of  dactyl  in  background,  i  near  distal  end  of  fingers,  y 
near  midlength  of  fingers;  k  sensory  seta  showing  2  rows  of  sensillae  on  concave  surface.  A.  markensis:  I  fingers  of  small  chela, 
mesial  view  of  distal  part.     Scales:  3  jjim,  k\  20  (jim,  ;;  30  \i^m,j;  50  p.m,  h\  100  M-m,  /;  200  ^.m,  g. 


277 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Second  pereopod  (Figs.  5/i;  7a,  b)  shorter  and 
more  slender  than  first,  reaching  to  between  mid- 
length  and  end  of  antennal  peduncle;  fingers 
slightly  longer  than  palm,  similar  in  size  and 
shape,  opposed  edges  without  gape,  each  pecti- 
nate with  single  row  of  teeth  in  distal  half  di- 
rected obliquely  distad  and  increasing  slightly  in 
size  to  end  in  noticeably  stronger  tooth  crossing 
opposite  member  when  closed,  but  spineless  prox- 
imally;  carpus  slender,  about  1.2  longer  than 
chela;  merus  and  ischium  unarmed. 

Third  to  fifth  pereopods  (Fig.  5i,j,k)  similar  in 
length  and  structure,  third  reaching  beyond  an- 
tennal scale  by  about  0.3  length  of  propodus. 
Length  articles  of  these  legs  in  allotype  9 ,  mm: 


3rd 

4th 
5th 


ischio- 
merus 

4.48 
4.89 
4.16 


carpus  propodus 


2.30 
2.18 
2.24 


3.20 
3.39 
4.22 


dactyl 

0.48 
0.48 
0.48 


Each  short  dactyl  armed  with  about  6  corneous 
spines  on  flexor  surface,  grading  from  small  prox- 
imally  to  longest  and  strongest  distally;  carpus  of 
each  with  distodorsal  extension  projecting  as  a 
stop  along  proximal  part  of  propodal  extensor  sur- 
face; third  leg  stronger,  at  least  in  merus- 
ischium,  than  fourth  and  fifth;  merus  of  third  and 
fourth  with  ventral  spine  at  1/3  and  2/3  length, 
distal  one  strongest,  fifth  without  spines;  ischium 
of  third  with  2  spines  in  line  with  those  on  merus, 
that  of  fourth  and  fifth  spineless. 

Pleopods  well  developed,  pair  1  with  endopods 
about  half  length  of  expods  in  both  sexes,  endopod 
of  male  (Fig.  6j)  with  asymmetrical  mesial  exten- 
sion, that  of  female  tapering  to  acute  tip;  pair  2 
with  appendix  masculina  of  male  (Fig.  6^)  bear- 
ing distal  cluster  of  about  9  strong  straight  spin- 
ules  extending  beyond  level  of  simple  slender  ap- 
pendix interna. 

Uropod  (Fig.  5e)  with  rami  subequal  in  length, 
slightly  exceeding  distal  end  of  telson,  lateral 
ramus  with  movable  spine  mesial  to  smaller  dis- 
tolateral  tooth,  diaeresis  sinuous. 

Etymology . — The  name  is  from  the  Greek 
"stactos",  oozing  out  or  trickling,  and  "philos",  to 
love,  for  association  of  the  species  with  hydrocar- 
bons seeping  from  the  substrate. 

Remarks. — Alvinocaris  lusca  and  the  three 
new  species  of  Alvinocaris  described  here  exhibit 


minor  differences  that  are  highlighted  in  the  key 
to  species  given  above,  but  their  similarities  seem 
far  more  significant;  i.e.,  general  body  appear- 
ance and  strength  of  integument,  shape  of  ros- 
trum (although  that  of  A.  stactophila  sometimes 
lacks  ventral  teeth),  shape  and  general  armature 
of  tail  fan,  blindness,  and  general  structure  of 
appendages,  including  mouthparts.  Some  minor 
differences  that  may  be  mentioned  are  features 
such  as  number  of  incisor  teeth  on  the  mandible, 
number  of  spines  on  the  first  maxilla,  shape  of  the 
second  maxilla,  lack  of  meral  spines  on  pereopod 
5  in  A.  stactophila,  unequal  distribution  of  spines 
on  ischia  of  pereopods  3-5  in  the  three  species, 
and  shape  of  the  endopod  of  male  pleopod  1  and 
appendix  masculina  (though  males  of  A.  marken- 
sis  are  not  yet  known). 

Each  of  these  species  lives  in  a  distinctive  ben- 
thic  environment,  but  all  share  similarities  that 
suggest  dependence  on  a  chemotrophic  bacteria- 
based  food  chain  (Childress  et  al.  1986).  Van 
Dover  et  al.  (in  press)  provide  evidence  from  mor- 
phology, behavioral  and  gut  content  analyses  of 
the  similar  Rimicaris  exoculata  Williams  and 
Rona  that  indicates  a  bacterial  diet  grazed  from 
surfaces  of  hydrothermal  chimneys,  although  di- 
rect observations  of  bacteria  within  the  digestive 
tract  could  not  confirm  this.  The  distinctively 
spoon-shaped  chelae  of  the  first  pereopods  of  both 
Alvinocaris  and  Rimicaris  species,  with  unbroken 
comb  of  exceedingly  fine  teeth  on  the  prehensile 
edges,  could  be  an  adaptation  for  scooping  or 
sweeping  bacteria  toward  the  mouthparts. 
Williams  and  Chace  (1982)  described  the  first 
chelae  of  A.  lusca  as  convex  on  the  extensor  sur- 
face and  concave  on  the  flexor  surface,  but  they 
also  said  (p.  142)  that  the  outer  surface  of  the 
fingers  is  convex  and  the  inner  surface  concave. 
The  latter  is  misleading  because  in  full  extension 
the  convex  side  of  the  chela  is  mesial  and  the 
concave  side  lateral.  It  is  not  yet  known  how  these 
appendages  are  used,  but  certainly  the  chelae  can 
be  folded  compactly  against  the  leg's  proximal 
articles,  and  in  the  related  Rimicaris  exoculata 
and  R.  chacei  (Williams  and  Rona  1986)  these 
legs  seem  very  mobile.  Sensillae  flanking  prehen- 
sile surfaces  of  the  fingers  seem  well  adapted  to 
aid  feeding  on  finely  particulate  matter.  More- 
over, the  species  of  Rimicaris  have  exceedingly 
setose  mouthparts. 

In  species  of  both  genera,  the  second  pair  of 
pereopods  have  much  smaller  chelae  with  fingers 
bearing  long  sensory  setae  and  spines  on  the  pre- 
hensile edges  that  are  seemingly  adapted  for 


278 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


grasping.  For  mobile  animals  of  this  morphologi- 
cal makeup,  the  most  likely  feeding  methods  in 
the  stated  environments  would  seem  to  be  bacte- 
rial concentration,  along  with  secondary  preda- 
tion  and  scavenging. 


ANOMURA:  GALATHEIDAE 
Munidopsis  alvisca  new  species 

Figure  8 

Materm/. —USNM  234294,  9  Holotype, 
USNM  234301,  9  Paratype,  Guaymas  Basin, 
Golfo  de  Cahfornia,  27°00'N,  lir25'W,  2,008  m, 
Aluin  Dive  1616,  8  August  1985,  pilots  J.  Hardi- 
man  and  R.  Wilkes,  observer  J.  F.  Grassle.  From 
J.  F.  Grassle,  Woods  Hole  Oceanographic  Institu- 
tion, Woods  Hole,  MA. 

USNM  234295,  6  Paratype,  Explorer  Ridge, 
Magic  Mountain,  49°45.6'N,  130°16.16'W,  1,818 
m,  Pisces  IV  Dive  P-1494,  Coll.  No.  1877,  Gulati 
Gusher-base,  1  July  1984,  pilots-observers.  Wit- 
combe,  Johnson,  Tunnicliffe.  USNM  234296,  9 
ovig.  Paratype,  Explorer  Ridge,  Upper  Magic 
Mountain,  49°45.5'N,  130°16.1'W,  1,812  m, 
Pisces  IV  Dive  P-1497,  Coll.  No.  1873,  Lunch 
Hour  Vent,  4  July  1984,  pilots-observers.  Shep- 
herd, Juniper,  Johnson.  USNM  234297,  9  ovig. 
Paratype,  same.  Coll.  No.  1875,  Crab  Vent. 
USNM  234298,  9  ovig.  Paratype,  same.  Coll.  No. 
1875.  USNM  234299,  2  9  ovig.  Paratypes,  Juan 
de  Fuca  Ridge,  Limbo  Vent  (  =  3  m  from  Holland's 
Hillock  Axial  Seamount),  45°55'N,  130°03'W, 
1,545  m,  Pisces  IV  Dive  P-1732,  Coll.  No.  1934,  2 
August  1986,  pilots-observers,  K.  Shepherd, 
R.  Embley,  J.  Franklin.  From  Verena  Tunnicliffe, 
Biology  Department,  University  of  Victoria,  B.C., 
Canada. 

Measurements  in  mm. — Holotype  9,  carapace 
length  including  rostrum  23.7,  margin  of  orbit  to 
posterior  edge  of  carapace  18.6,  maximum  cara- 
pace width  15.7;  Paratype  9  234301,  same,  27.9, 
20.8,  17.3;  Paratype  6  234295,  same,  13.8,  10.2, 
8.4. 

Description. — Carapace  (Fig.  8a,  c)  exclusive 
of  rostrum  distinctly  longer  than  broad,  moder- 
ately arched  transversely;  anterior  and  posterior 
cervical  grooves  apparent,  depression  in  anterior 
part  of  cardiac  region;  short  moderately  devel- 
oped rugosities  on  each  anterior  branchial  region, 
but   more   distinct   and   transversely   developed 


rugae  on  each  posterior  branchial  region,  with 
tendency  to  being  continuous  across  anterior  and 
central  part  of  cardiac  region;  posterior  margin 
with  median  concavity.  Rostrum  narrowly  tri- 
angular, concave  dorsal  surface  smoothly  curv- 
ing to  upturned  tip  exceeding  eyestalks  by  more 
than  twice  their  length,  distinct  carina  bearing 
almost  imperceptible  scalelike  rugae  diminish- 
ing to  obsolescence  on  gastric  region.  Frontal 
margin  with  broad  angle  lateral  to  eyestalk 
followed  by  concave  raised  and  sparsely  orna- 
mented margin  ending  in  antennal  spine  followed 
in  turn  by  almost  rectangular  but  acute  antero- 
lateral angle.  Lateral  plate  obliquely  rugose,  pro- 
jecting anteriorly  below  antennal  peduncle,  its 
rather  angular  tip  minutely  but  bluntly  bi- 
spinose. 

Abdomen  (Fig.  86)  unarmed;  transverse  ridge 
of  segments  2  and  3  smooth,  that  of  segment  4 
obsolescent;  segments  5  and  6  smooth. 

Eyes  (Fig.  8a ,  c )  moderate  in  size;  well  exposed, 
smoothly  ovate  cornea  cupped  within  broad  based 
movable  ocular  peduncle  extended  into  elongate 
mesiodorsal  spine,  directed  obliquely  upward  at 
low  angle  and  ornamented  with  tiny  irregular 
obsolescent  spinules,  and  much  shorter  mesioven- 
tral  spine. 

Basal  article  of  antennular  peduncle  with  dis- 
tal margin  irregularly  crenulate,  slender  dorso- 
lateral spine  and  broader  lateral  spine  flanked  by 
cluster  of  irregular  small  spinules,  an  obsolescent 
mesiodorsal  spine  present.  Antennal  peduncle 
with  fixed  basal  article  extended  into  stout,  flat 
ventral  spine  and  shorter  crenulate  lateral  spine; 
succeeding  articles  short,  second  bearing  stout 
lateral  angle,  third  unarmed,  fourth  with  scal- 
loped distal  margin,  its  dorsomesial  projection 
spinelike. 

Third  maxilliped  (Fig.  8e )  with  ischium  shorter 
than  merus,  bearing  mesial  crest  armed  with 
finely  uniform,  evenly  spaced  corneous  teeth. 
Basis  with  2  low  spines  in  line  with  crest  on  is- 
chium. Merus  with  obsolescent  spine  at  pos- 
teromesial  corner,  mesial  margin  usually  with 
another  at  level  of  propodo-carpal  joint,  followed 
after  an  interval  by  an  obscure  tubercle,  and  then 
by  a  more  prominent  spine  at  base  of  convex  dis- 
tal margin;  stronger  spine  at  anterolateral  cor- 
ner; lateral  margin  broadly  arched.  Carpus, 
propodus,  and  dactyl  folded  on  merus-ischium 
and  about  as  long  as  those  two  articles  together, 
dense  setation  on  dorsal  surface  of  each,  and  dis- 
tally  on  prehensile  surface  of  propodus  and 
dactyl.  Sternite  (Fig.  8d)  at  base  of  third  maxil- 


279 


liped  with  convex  crenulate  anterior  margin  on 
mesial  lobe,  lateral  lobe  angular. 

Epipods  absent  from  pereopods. 

Chelipeds  (Fig.  SP  subequal,  ornamented  with 
variably  ciliate  rugosities  tending  to  arrange- 
ment in  longitudinal  tracts;  ischium  with  mesial 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 

fidge  bearing  subterminal  spine  and  obsolescent 
irregular  subsidiary  spines;  merus  rough,  bear- 
ing 3  mesial  spines,  1  distodorsal  spine,  and  a 
smaller  distoventral  spine;  carpus  with  2  spines 
in  dorsolateral  row  paralleled  by  less  prominent 
ventrolateral  row;  palm  with  spines  on  prominent 


Figure  8. — Munidopsis  alvisca ,  holotype  9 :  a  carapace,  eyes  and  right  antenna,  dorsal;  b  abdomen,  somites  2-4  in  folded 
position;  c  part  of  cephalothorax  and  anterior  appendages,  lateral;  d  stemites  at  base  of  third  maxilliped  and  chelipeds;  e 
left  third  maxilliped,  merus  and  ischium;  g  left  second  pereopod.  Paratype  9  234301:  /"right  cheliped.  Scales:  1  (a,  6)  =  5 
mm;  2  (c)  =  5  mm;  3  if,  g)  =  3  mm;  4  (d,  e)  =  1  mm. 


280 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


dorsal  ridge,  stronger  on  right  than  on  left;  fin- 
gers longer  than  palm,  spooned  at  tips,  prehensile 
edges  close  fitting,  entire,  but  small  basal  tooth  of 
fixed  finger  opposed  by  notch  in  prehensile  edge 
of  dactyl. 

Walking  legs  rather  long,  first  walking  leg 
(Fig.  8^)  reaching  almost  to  tip  of  chela,  second 
and  third  reaching  about  to  base  of  dactyl  on  pre- 
ceding leg;  corresponding  articles  of  respective 
legs  approximately  equal  in  length  except  for 
meri  which  decrease  posteriorly;  each  merus  with 
rounded,  rugose  dorsal  crest  ending  in  distal 
spine;  each  carpus  with  longitudinal  dorsal  and 
dorsolateral  rib  ending  in  more  or  less  well- 
developed  spine,  and  often  with  secondary 
spine(s)  on  distal  margin  between  them;  each 
propodus  slender,  bearing  small  movable  spine 
distolaterally  at  base  of  dactyl;  each  dactyl  slen- 
der, acute  corneous  tip  preceded  by  row  of  12  or 
more  movable  spines  on  prehensile  edge.  Slender 
fifth  leg  with  well-developed  cleaning  brush  on 
more  or  less  flattened  dactyl  opposed  by  similar 
setae  on  distal  end  of  propodus. 

Variation . — There  is  minor  variation  in  orna- 
mentation of  the  specimens  available  for  study, 
but  none  of  it  is  associated  with  the  disjunct  dis- 
tribution in  the  Golfo  de  California  and  the  north- 
eastern Pacific. 

Remarks. — The  specimens  reported  here  were 
taken  around  hydrothermal  vent  sites  discussed 
by  Canadian  American  Seamount  Expedition 
(1985),  ASHES  Expedition  (1986),  and  Tunni- 
cliffe  et  al.  (1985,  1986).  Munidopsis  has  been 
sighted  at  three  other  sites  along  Juan  de  Fuca 
Ridge,  but  the  only  specimens  collected  are  those 
listed  above  (V.  Tunnicliffe^). 

Comparisons  of  Munidopsis  alvisca  with  previ- 
ously described  species  of  the  genus  are  aided  by 
reference  to  A.  Milne  Edwards  (1880),  Milne  Ed- 
wards and  Bouvier  (1897),  Chace  (1942),  Sivert- 
sen  and  Holthuis  (1956),  and  Ambler  (1980).  Lack 
of  epipods  on  the  pereopods  immediately  sepa- 
rates M.  alvisca  from  species  such  as  M.  crassa 
Smith,  1885  and  M.  subsquamosa  Henderson, 
1885  which  it  superficially  resembles.  Both  of  the 
latter  species  have  relatively  prominent  rugae 
and  spines  on  the  cephalothorax  and  legs  whereas 
M.  alvisca  has  fairly  smooth  ornamentation  on 


2Verena  Tunnicliffe,  Department  of  Biology,  University  of 
Victoria,  P.O.  Box  1700,  Victor,  B.C.,  Canada  V8W  2R2,  pers. 
commun.  1987. 


these  body  parts,  except  for  minor  development  of 
spines  on  the  lateral  carapace  margin  anteriorly. 
The  rostrum  of  all  of  these  species  is  narrowly 
triangular,  curves  moderately  upward  to  the  tip 
and  bears  a  middorsal  carina,  but  the  carina  in 
M.  alvisca  bears  almost  imperceptible  scalelike 
rugae  and  diminishes  to  obsolescence  on  the  gas- 
tric region  whereas  in  both  M.  crassa  and  M.  sub- 
squamosa the  carina  is  varyingly  rugose,  rather 
strongly  so  in  the  former,  and  maintains  this  or- 
namentation onto  the  gastric  region.  Moreover, 
M.  crassa  bears  tiny  irregular  marginal  spines  on 
the  rostrum. 

Spination  of  the  merus  of  the  third  maxilliped 
is  far  weaker  in  M.  alvisca  than  in  the  other  two 
species  discussed,  and  both  the  anterolateral 
spine  of  the  ischium  and  the  crenulate  margin  of 
the  crest  on  the  ischium  are  less  developed  than 
in  them.  On  the  other  hand,  M.  alvisca  possesses 
both  mesiodorsal  and  mesioventral  eye  spines 
whereas  M.  subsquamosa  and  M.  crassa  lack  the 
mesioventral  spine. 

More  distant  comparisons  seem  inappropriate 
because  of  different  body  proportions  and  orna- 
mentation, rostral  width,  length,  elevation  and 
spination,  and  structure  of  the  eye  and  third  max- 
illiped. The  keys  for  identification  by  both  Chace 
(1942)  and  Pequegnat  and  Pequegnat  (1970),  for 
example,  though  strictly  applicable  to  species  of 
the  Atlantic  basin,  would  ally  M.  alvisca  with 
M.  aries  (A.  Milne  Edwards,  1880),  a  much  larger 
species  with  broader  cephalothorax  and  rostrum, 
eyes  almost  hidden  from  dorsal  view,  and  with 
less  transverse  ornamentation.  The  revised  ver- 
sion of  this  key  by  Pequegnat  and  Pequegnat 
(1971)  would  place  M.  alvisca  in  the  couplet  space 
occupied  by  M.  sundi  Sivertsen  and  Holthuis, 
1956,  a  species  with  superficially  similar  shaped 
cephalothorax,  but  densely  clothed  with  short 
setae. 

Etymology. — The  name  is  an  acronym  taken 
from  names  of  the  deep  submersible  vessels  used 
in  collecting  the  species,  Alvin  and  Pisces  IV. 

BRACHYURA:  BYTHOGRAEIDAE 

Bythograea  tnesatlantica  new 
species 

Figures  9,  10 

Materia/.— USNM  234300,  Holotype  9,  Mid- 
Atlantic  Rift  Valley  about  70  km  south  of  Kane 


281 


FISHERY  BULLETIN;  VOL.  86,  NO.  2 


Fracture  Zone  (see:  Kong  et  al.  [19851;  Leg  106 
Shipboard  Scientific  Party  1 19861;  Ocean  Drilling 
Program  Leg  106  Scientific  Party  [1986]), 
23°22.09'N,  44°57.12'W,  3,437  m,  Aluin  Dive 
1683,  MARK  vent,  Stn.  1,  scoop,  30  May  1986, 
pilot  D.  Foster,  observers  S.  Humphris  and  J.  Ed- 
mond.  From  NSF-Leg  106-Ocean  Drilling  Pro- 
gram, NSF  Grant  OEC-8311201  to  J.  F.  Grassle, 
Woods  Hole  Oceanographic  Institution,  Woods 
Hole,  MA. 

Measurements  in  mm. — 


Carapace 

Length 

13.8 

Width 

23.3 

Depth  of  cephalothorax 

8.1 

Frontoorbital  width 

7.7 

Propodus  lower  margin 

R  15.5 

L  15.2 

Dactyl  length 

P':ilm 

8.3 

8.3 

1  aini 
Height 

7.9 

7.8 

Thickness 

4.9 

5.1 

Description. —  General  aspect  similar  to  that  of 
B.   thermydron,   cancroid,   depressed.   Carapace 


(Figs.  9,  lOd)  broad,  transversely  elliptical,  its 
rounded  lateral  angles  displaced  somewhat  ante- 
riorly; almost  flat  in  middle  dorsally,  very 
slightly  arched  from  anterior  to  posterior  and 
near  lateral  margins;  anterolateral  region  pro- 
duced, margin  not  toothed;  surface  finely  granu- 
late anteriorly  and  laterally,  smooth  but 
minutely  punctate  to  unaided  eye  over  posterior 
2/3  to  3/4;  regions  indistinct.  Frontoorbital  width 
ca  1/3  carapace  width. 

Front  almost  evenly  rounded  and  somewhat  de- 
flexed,  projecting  over  folded  antennules,  shallow 
median  depression  continued  onto  protogastric 
region  giving  faint  suggestion  of  bilobation;  mar- 
gin beaded  with  line  of  fairly  uniform  granules, 
closely  packed  on  anterior  and  anterolateral  parts 
but  diminishing  almost  to  obsolescence  near  or- 
bits. Arcuate  tract  of  scattered  punctations 
sweeping  across  anterolateral,  hepatic,  orbital, 
protogastric,  and  metagastric  regions.  Trans- 
verse tract  of  rather  prominent  granules  at  rear 
edge  of  protogastric  region.  Carapace  with 
smooth  part  behind  these  anterior  areas  micro- 
scopically granular  and  punctate  anteriorly, 
grading  posteriorly  into  almost  featureless  sur- 


FlGURE  9. — Bythograea  mesatlantica ,  holotype  9:     dorsal.     Scale  =  3  mm. 


282 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


Figure  10. — Bythograea  mesatlantica .  holotype  9:  right  chela,  a  frontal  view,  b  fingers  viewed  from  tips;  c  left  chela,  frontal 
view;  d  left  side  of  cephalothorax  in  frontal  view  showing  anterolateral  pigmented  spot,  eye,  antennules,  antennae,  and  mouthparts 
in  situ;  e  mouth  field  showing  third  maxilliped  turned  to  side,  second  maxilliped,  first  maxilliped  with  lacinia  bearing  tiny 
"portunid  lobe"  at  its  mesial  comer,  partly  hidden  mandibles,  and  palate  with  patch  of  fine  setae  to  either  side  of  midline;  /"abdomen 
showing  somites  3-6  and  telson;  g  oviducal  openings  and  parts  of  associated  stemites.  Scales:  1  (a-d,  f-g)  =  2  mm;  2  (e)  =  1  mm. 


283 


FISHERY  BULLETIN;  VOL.  86,  NO.  2 


face.  Protogastric,  mesogastric,  metagastric,  and 
cardiac  regions  poorly  indicated;  epibranchial 
line  indicated  by  small,  light  colored  blotches 
originating  posterior  to  lateral  angle  at  each  side 
and  arching  anteromesially  over  branchial  re- 
gion, then  posteromesially  toward  mesogastric 
region.  Posterior  margin  concave  and  paralleled 
by  obsolescent  postmarginal  groove  becoming 
more  pronounced  along  posterolateral  margin. 

Subhepatic  and  subbranchial  areas  orna- 
mented with  small  granules,  coarsest  along  upper 
part  of  hepatic  region  but  becoming  finer  and 
more  numerous  near  base  of  chelipeds. 

Orbits  sunk  into  essentially  smooth  transverse 
concavity  in  anterolateral  region  confluent  later- 
ally at  either  side  with  a  prominent  irregularly 
oval  tan  colored  spot  having  very  finely  granu- 
late, shallowly  concave  surface;  somewhat  in- 
flated and  irregularly  granular  suborbital  area 
almost  fully  visible  in  dorsal  view,  reaching  level 
of  front,  tilted  anteroventrally  from  frontal  plane 
lateral  to  and  almost  at  same  level  as  epistome. 

Eyestalks  projecting  anterolaterad,  barely 
movable,  depressed  and  broadened  to  fit  snugly  in 
orbit;  unpigmented  cornea  terminal,  subcircular, 
narrower  than  eyestalk  and  anterolaterally  ori- 
ented. 

Epistome  (Fig.  lOe)  projecting  well  beyond 
front,  its  anterior  margin  cut  into  6  unequal 
lobes;  rather  narrow  and  advanced  submedian 
lobes,  separated  by  narrow  deep  notch,  much 
broader  intermediate  lobes  and  somewhat  less 
broadened  lateral  lobes  less  advanced. 

Antennules  folding  transversely,  stouter  than 
antennae,  large  bulbous  basal  articles  contigu- 
ous, concealed  beneath  front,  interantennular 
septum  represented  by  minute  remnant  at  upper 
and  lower  edge  of  antennular  fossa;  slender 
penultimate  and  terminal  articles  of  peduncle 
nearly  equal  in  length,  former  slightly  hollowed 
laterally,  latter  slightly  longer  and  more  slender. 
Flagella  short;  mesial  7-segmented  ramus  slen- 
der; slightly  shorter  lateral  ramus  curved,  multi- 
segmented,  thick  at  base  but  tapering  to  point, 
dense  mesial  brush  of  long  sensory  setae  in  chord 
of  curve. 

Antennal  insertion  mesial  to  eyestalk;  pedun- 
cle mesial  to  eyestalk,  extending  anteriorly  or 
anterolaterally  in  situ;  fixed  article  broad  but 
short;  first  free  article  slender,  ca  1.7  length  of 
second  article;  latter  broadened  distally;  terminal 
article  short,  its  diameter  only  slightly  greater 
than  that  of  flagellar  base;  flagellar  length  ex- 
ceeding midline  of  front. 


Mouth  field  (Fig.  lOe)  divergent  anteriorly, 
sides  of  its  frame  broadest  posteriorly  and  some- 
what swollen  and  granular  at  anterolateral  cor- 
ners, maximal  inside  anterior  width  about  1.4 
minimal  inside  posterior  width.  Third  maxil- 
lipeds  filling  mouth  field  except  for  narrow  gap  of 
nearly  uniform  width  between  ischia  of  en- 
dognaths  and  rather  irregular  gap  anteriorly  be- 
tween meri-carpi  of  endognaths  and  epistome;  ex- 
ognaths  overlapping  sides  of  mouth  frame. 
Endognaths  with  exposed  surface  bearing  sparse, 
sometimes  linear,  setose  punctations;  exposed 
surface  of  ischium  nearly  smooth;  elongate  polyg- 
onal in  outline  but  primarily  rectangular,  great- 
est (distal)  width  1.1  narrowed  part  ca  1/2  length 
from  base;  mesial  margin  straight  through 
most  of  its  length  but  curved  at  each  end,  tooth- 
less, bearing  many  stifl"  straight  setae,  submar- 
ginal  zone  somewhat  thickened  and  flanked  later- 
ally by  shallow  longitudinal  groove;  anterior 
margin  nearly  perpendicular  to  mesial  margin 
except  for  anteriorly  projecting  truncate  lobe  at 
inner  corner;  lateral  margin  concave;  posterome- 
sial  margin  obliquely  convex;  basi-ischial  suture 
line  visible  posterolaterally.  Merus  slightly 
narrower  than  ischium;  low  granules  with  tips 
directed  anteromesially  along  distal  margin;  ir- 
regularly quadrate  perimeter  flanked  by  submar- 
ginal  thickened  zone  and  groove  similar  to  mesial 
counterpart  on  ischium  except  on  straight  proxi- 
mal side,  anterolateral  angle  broadly  rounded, 
anteromesial  angle  at  insertion  of  palp  oblique; 
mesial  margin  doubled  anteriorly  for  reception  of 
folded  palp,  its  ventral  (exposed)  side  broadly 
angled  proximal  to  carpopropodal  articulation; 
posteromesial  corner  fitted  to  projecting  lobe  of 
ischium,  dorsal  (hidden)  side  produced  behind 
carpus,  its  margin  setose.  Palp  large,  dactyl 
reaching  posteriorly  about  1/4  length  mesial  mar- 
gin of  ischium.  Carpus  expanded  distally,  nar- 
rowed proximally,  bent  nearly  at  right  angle  near 
insertion  and  obscurely  crimped  inside  angle; 
dense  tuft  of  setae  on  distooral  surface.  Propodus 
wider  than  carpus,  longer  than  broad,  asymmetri- 
cally ovate  in  ventral  view;  distal  (longest)  mar- 
gin convex,  densely  beset  with  rows  of  strong  ser- 
rated setae,  longest  distally;  distal  tuft  of  such 
setae  on  dorsal  surface.  Linear  dactyl  slightly 
bent  away  from  midline  in  distal  part  and  setose 
as  propodus,  especially  on  prehensile  edge.  Ex- 
ognath  narrow,  not  extending  to  full  length  of 
merus;  ventral  surface  slightly  curved  mesially  to 
fit  closely  against  lateral  side  of  endognathal  is- 
chium, with  dorsomesial  flange  (widest  distally) 


284 


WILLIAMS:  NEW  MARINE  DECAPOD  CRUSTACEANS 


fitting  beneath  latter;  palp  conspicuous,  flagel- 
lum  densely  beset  with  setae  in  hollow  of  curve. 

First  maxilliped  with  lacinia  of  endopod  broad, 
its  distal  edge  3-lobed  and  conspicuously  though 
not  heavily  setose;  oblique  mesial  margin  of 
strongly  advanced  anterolateral  lobe  confluent 
with  broader  gradually  rounded  and  much  less 
advanced  intermediate  lobe,  latter  in  turn  fol- 
lowed by  still  less  advanced  tiny  mesial  lobe,  sep- 
arated by  a  notch  and  directed  anteromesially; 
tuft  of  setae  preceding  notch. 

Endostome  large,  divided  by  low  median  sagit- 
tal ridge  bifurcated  somewhat  anteriorly  and 
merging  into  projecting  endostome;  each  half  of 
palate  shallowly  concave,  crossed  by  low  longitu- 
dinal ridge  slightly  offset  at  its  midlength  and 
trending  anteromesially  from  near  base  of  large 
mandibular  palp;  ridge  flanked  laterally  by  irreg- 
ular patch  of  velvety  pubescence;  smooth  lateral 
2/3  of  palate  receiving  large  efferent  branchial 
channels. 

Chelipeds  (Figs.  9,  10a,  b,  c)  heavy,  subequal; 
integument  punctuate  on  upper  and  extensor  sur- 
faces, obscure  granulation  on  upper  surfaces  of 
palms  and  on  ridges  or  raised  areas  elsewhere; 
chelae  inflated,  lower  margin  of  palm  arched 
downward,  its  rather  pronounced  keel  merging 
into  fixed  finger;  swollen  palm  with  shallow  exca- 
vation proximally  for  reception  of  carpus  in  flexed 
position,  inner  surface  glabrous  but  drawn  into 
moderate  and  slightly  granular  elevation  slightly 
in  front  of  proximal  excavation.  Fingers  tan  col- 
ored in  preservation  (70%  ethanol)  and  darkest 
proximally,  color  of  fixed  finger  not  extending 
onto  palm;  fingers  not  gaping,  prehensile  edges 
entire  except  for  obsolescent  proximal  tooth  on 
fixed  finger  of  each  hand;  dactyl  longer  than  rela- 
tively straight  fixed  finger,  arching  down  distally 
to  close  in  distal  notch  of  spooned  tip  of  fixed  fin- 
ger. 

Carpus  with  extensor  surface  inflated,  right 
carpus  with  internal  margin  rounded,  that  of  left 
obscurely  angled.  Merus  broadened  mesially  into 
cristate  flange  angled  distally  for  reception  of  car- 
pus, strong  granules  in  single  line  along  inner 
margin,  outer  surface  rounded,  strewn  with  obso- 
lescent punctations  and  granules,  latter  most 
prominent  along  distoventral  tract. 

Walking  legs  rather  long,  flattened,  length  de- 
creasing posteriorly  in  order  3,  2,  1,  4;  each  with 
dense  patches  of  short  darkened  setae  inter- 
spersed with  sparer  longer  setae  on  extensor  sur- 
face of  carpus  and  propodus  (as  well  as  its  lateral 
side  on  legs  1  and  2),  distoventral  corner  of  car- 


pus, and  more  extensively  on  dactyl;  fifth  legs 
somewhat  more  flattened  than  others,  propodi 
relatively  broader  and  not  densely  setose  later- 
ally. Mean  maximum  length  of  propodi  about 
twice  width.  Dactyls  slightly  longer  than  propodi, 
narrowly  lanceolate,  shallow  longitudinal 
grooves  on  anterior  and  posterior  surfaces  ob- 
scured by  dense  setae,  tip  stout,  corneous.  Merus 
of  each  with  upper  margin  finely  granular,  ante- 
rior lower  margin  present  throughout  length  but 
posterior  lower  margin  obsolescent  proximally. 

Sternum  broadest  between  legs  1  and  2,  nar- 
rower posteriorly,  glabrous  beyond  outline  of  ab- 
domen. 

Abdomen  (Fig.  lOf)  ovate  in  outline,  fully  seg- 
mented and  densely  fringed  with  plumose  setae; 
somite  1  slightly  arched  dorsally  to  fit  contour  of 
adjacent  carapace,  somites  2-4  of  about  equal 
length,  somites  5  and  6  progressively  longer;  ab- 
domen with  greatest  width  at  4;  telson  nearly  as 
broad  as  somite  6,  outline  broadly  arched  distally. 
Somites  2-5  bearing  large,  well-developed  bi- 
ramous  pleopods,  outer  curved  branch  lying  near 
edge  of  abdomen  and  heavily  beset  with  short 
setae  laterally  and  mesially,  inner  branch  more 
sparsely  equipped  with  ovigerous  setae  and 
jointed. 

Female  openings  (Fig.  10^^)  large,  obscurely 
subtriangular  in  outline. 

Color  in  preservation  predominantly  off-white 
except  for  fingers,  matted  setal  tracts  laden  with 
brownish  finely  particulate  matter. 

Remarks. —  Brachyuran  crabs  that  resemble 
Bythograea  were  observed  and  reported  by  Rona 
et  al.  (1986). 

Bythograea  mesatlantica  differs  in  several  re- 
spects from  Pacific  members  of  the  genus, 
B.  thermydron  Williams  (1980)  and  B.  microps  de 
Saint  Laurent  (1984).  Among  obvious  differences 
from  B.  thermydron,  the  new  species  has  even 
less  ornamentation  on  the  carapace;  it  lacks  a 
distinct  suborbital  plate  separated  by  a  suture, 
and  the  suborbital  area  is  inflated,  not  flat  and 
inclined;  there  is  a  transverse  concavity  lateral  to 
each  eyestalk  that  terminates  near  the  very  dis- 
tinctive brown  spot  in  the  cuticle  at  either  side  of 
the  carapace;  the  eyestalk  itself  is  shorter  and 
thicker  than  in  B.  thermydron  and  the  shape  and 
position  of  the  cornea  differs.  The  ischium  of  the 
third  maxilliped  is  relatively  shorter  than  in 
B.  thermydron  and  bears  only  sparse  setiferous 
punctations  on  the  external  surface,  it  lacks  tiny 
granules  on  the  truncate  lobe  at  the  anterolateral 


285 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


corner,  the  submarginal  thickened  zone  and 
groove  are  less  distinct;  the  merus  is  not  tilted 
dorsally  in  normal  position,  and  the  palp  is  rela- 
tively shorter  and  club  shaped  rather  than  curved 
like  a  knife  edge  along  the  prehensile  edge.  The 
lacinia  of  the  first  maxilliped  is  more  angular 
anterolaterally  and  has  a  smaller  "portunid  lobe". 
The  epistome  is  less  lobulate  than  in  B.  thermy- 
dron  and  the  concave  palatal  area  has  much  less 
setose  covering.  The  nearly  toothless  chelae  have 
brown  fingers  and  there  is  no  dense  patch  of  setae 
on  the  inner  side  of  the  palms. 

Comparisons  with  B.  microps  are  necessarily 
less  complete  because  of  the  brief  description  of 
the  latter.  The  eyes  are  certainly  not  slender  and 
retracted  in  B.  mesatlantica ;  the  chelipeds  are  not 
noticeably  dimorphic,  and  they  are  relatively 
smooth  rather  than  strongly  granular  and  pilose 
on  the  external  surface  as  in  B.  microps. 

The  distinctive  exocular  spots  on  the  carapace 
seem  similar  to  those  noted  on  the  chelipeds  of 
Hypsophrys  noar  Williams  (1974,  1976)  and  Mu- 
nidopsis  lentigo  (Williams  and  Van  Dover  1983). 
Their  function  is  unknown. 

Etymology. —  From  the  Greek  "mesos",  middle 
and  "Atlantic",  with  reference  to  the  Mid- 
Atlantic  Rift  habitat. 

ACKNOWLEDGMENTS 

Contributors  of  specimens  and  crew  members  of 
submersible  vessels  who  helped  to  make  the  col- 
lections are  owed  a  special  debt  of  gratitude  for 
securing  the  rare  material  described  here.  Donors 
are  acknowledged  individually  in  each  of  the  spe- 
cies accounts.  I  am  indebted  to  Keiko  Hiratsuka 
Moore  for  rendering  the  excellent  illustrations,  to 
Ruth  Gibbons  for  helping  to  produce  the  SEM 
micrographs,  and  to  F.  A.  Chace,  Jr.,  R.  B.  Man- 
ning, and  B.  B.  Collette  for  critical  review  of  the 
manuscript. 

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Williams,  A.  B ,  and  C.  L.  Van  Dover. 

1983.  A  new  species  of  Munidopsis  from  submarine 
thermal  vents  of  the  East  Pacific  Rise  at  21°N 
(Anomura:Galatheidae).  Proc.  Biol.  Soc.  Wash. 
96:481-488. 


287 


THE  MEGALOPA  STAGE  OF  THE  GULF  STONE  CRAB,  MENIPPE  ADINA 
WILLIAMS  AND  FELDER,  1986,  WITH  A  COMPARISON  OF  MEGALOPAE 

IN  THE  GENUS  MENIPPE 

Joel  W.  Martin,'  Frank  M.  Truesdale,^  and  Darryl  L.  Felder^ 

ABSTRACT 

The  laboratory-reared  megalopa  stage  of  the  Gulf  stone  crab,  Menippe  adina ,  is  described  and  illus- 
trated and  compared  with  megalopae  of  three  other  species  of  Menippe .  The  megalopa  of  M .  adina 
differs  from  that  of  Af.  nodifrons  in  having  serrate  spines  on  the  ventral  margin  of  the  dactylus  of 
pereiopod  5  and  from  that  of  M.  rumphii  in  having  spines  on  the  dactyli  of  pereiopods  2-5  and  a  more 
quadrate  carapace.  The  megalopa  of  the  morphologically  similar  A/ .  mercenaria  was  also  reared  in  the 
laboratory,  and  selected  characters  are  described  and  compared  with  the  megalopa  of  A/,  adina; 
megalopae  of  the  two  species  differ  only  slightly.  Megalopae  of  M.  adina  taken  from  field  collections 
made  off  South  Texas,  U.S.A.,  were  compared  with  and  were  found  to  be  consistent  with  laboratory- 
reared  M .  adina  megalopae. 


Stone  crabs  of  the  genus  Menippe  are  large  xan- 
thid  crabs  common  along  the  eastern  coasts  of  the 
United  States  and  Mexico  from  North  Carolina  to 
Yucatan,  the  Bahamas,  Cuba,  and  Jamaica 
(Rathbun  1930;  Felder  1973;  Williams  1984; 
Williams  and  Felder  1986).  Recently  the 
"common"  stone  crab,  Menippe  mercenaria  (Say, 
1818),  was  divided  into  two  species:  Menippe  mer- 
cenaria (Say)  (restricted),  known  from  the  east 
coast  of  the  United  States,  the  Caribbean,  and  the 
west  coasts  of  Florida  and  Yucatan,  and  Menippe 
adina  Williams  and  Felder,  1986,  known  from  the 
northwestern  Gulf  of  Mexico;  hybridization  of  the 
two  species  occurs  in  northwest  Florida  (see 
Williams  and  Felder  1986).  These  two  species 
(primarily  M.  mercenaria )  support  an  important 
stone  crab  fishery  in  the  southern  United  States 
and  Mexico  (Williams  and  Felder  1986)  and  con- 
sequently have  been  the  subject  of  numerous  in- 
vestigations. Despite  this  interest,  the  complete 
larval  developments  of  both  commercial  species  of 
Menippe  remain  unknown.  For  M.  mercenaria 
(Say),  Hyman  (1925)  described  a  prezoea  and  first 
zoeal  stage,  and  Porter  (1960)  described  six  zoeal 
stages  reared  in  the  laboratory.  Unfortunately, 
Porter  did  not  describe  the  megalopa  stage,  pre- 


iLife  Sciences  Division,  Natural  History  Museum  of  Los  An- 
geles County,  900  Exposition  Boulevard,  Los  Angeles,  CA 
90007. 

2School  of  Forestry,  Wildlife,  and  Fisheries,  and  Louisiana 
Agricultural  Experiment  Station,  Louisiana  State  University, 
Baton  Rouge,  LA  70803. 

3Department  of  Biology  and  Center  for  Crustacean  Research, 
University  of  Southwestern  Louisiana,  Lafayette,  LA  70504. 


sumably  because  he  considered  it  a  postlarva  and 
not  a  true  larval  stage.  An  unpublished  but  often- 
cited  report  by  Kurata"*  included  descriptions  of 
the  zoeal  stages  of  M.  mercenaria  and  a  brief 
sketch  of  the  megalopa;  Kurata's  description  of 
the  megalopa  did  not  include  morphology  of  the 
pleopods,  pereiopods,  or  mouthparts. 

Because  of  recent  interest  in  the  phylogenetic 
significance  of  the  brachyuran  megalopa  (see  Rice 
1981a,  in  press;  Martin  in  press)  and  postlarval 
stages  (Martin  et  al.  1984;  Felder  et  al.  1985),  and 
because  of  the  potential  importance  of  stone  crab 
larval  biology  to  aquaculture,  it  is  surprising  that 
the  megalopae  of  M .  mercenaria  and  M .  adina 
remain  undescribed.  The  present  paper  describes 
the  laboratory-reared  megalopa  of  the  Gulf  stone 
crab,  Menippe  adina  Williams  and  Felder,  and 
compares  it  with  field  collections  of  the  same  spe- 
cies from  south  Texas,  laboratory-reared  megalo- 
pae of  M.  mercenaria,  and  all  previously  de- 
scribed megalopae  of  the  genus  Menippe:  Menippe 
mercenaria  (Say,  1818)  (as  described  by  Kurata 
fn.  4);  Menippe  nodifrons  Stimpson,  1859  (as  de- 
scribed by  Scotto  1979);  and  Menippe  rumphii 
(Fabricious,  1798)  (as  described  by  Kakati  1977). 

MATERIALS  AND  METHODS 

A  large  ovigerous  M .  adina  was  collected  from 


Manuscript  accepted  February  1988. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


4Kurata,  H.  1970.  Studies  on  the  life  histories  of  decapod 
Crustacea  of  Georgia.  Part  IIL  Larvae  of  decapod  Crustacea  of 
Georgia.  Unpubl.  rep.,  274  p.  University  of  Georgia  Marine 
Institute,  Sapelo  Island,  GA. 

289 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


shallow  waters  of  the  northern  Gulf  of  Mexico 
near  Grande  Terre,  LA,  in  May  1982  and  held  in 
a  small  aquarium  at  room  temperature.  After  the 
eggs  hatched,  the  zoeal  larvae  were  given  fresh 
seawater  and  newly  hatched  Artemia  nauplii 
daily.  Exuviae  as  well  as  dead  and  some  living 
megalopae  were  preserved  in  70%  ethanol.  Draw- 
ings were  made  with  the  aid  of  a  Wild^  M-5 
stereoscope  and  a  Wild  M-11  compound  stereo- 
scope, both  with  camera  lucida;  accuracy  was  ver- 
ified with  a  Nikon  Optiphot.  Measurements  were 
made  with  an  ocular  micrometer.  Ten  laboratory- 
reared  megalopae  were  examined,  measured,  dis- 
sected, and  compared  with  megalopae  from  field 
collections  made  in  1973  off  south  Texas.  Com- 
parisons with  M.  mercenaria  are  based  on 
laboratory-reared  M .  mercenaria  megalopae  from 
two  females  collected  on  13  August  1987  from  the 
Indian  River  system,  north  of  Ft.  Pierce,  FL.  Eggs 
of  these  two  females  hatched  on  21  August  1987, 
and  the  megalopa  stage  was  first  reached  after  17 
days  in  mass  culture  aquaria  (30%o  salinity, 
25°C,  12h:12h  light/dark  regime).  Descriptions  of 
setation  for  all  appendages  proceed  from  proximal 
to  distal.  Specimens  examined  under  the  scan- 
ning electron  microscope  (SEM)  were  prepared 
according  to  procedures  outlined  by  Felgenhauer 
(1987)  but  without  postfixation  in  osmium  tetrox- 
ide  and  with  100%  ethanol,  rather  than  amyl  ac- 
etate, as  the  transitional  fluid.  Sibling  megalopae 
and  field  collections  have  been  deposited  in  the 
U.S.  National  Museum  of  Natural  History, 
catalogue  No.  USNM  229962  (laboratory- 
reared  M.  adina),  USNM  229961  (field-collected 
M.  adina),  and  USNM  229963  (laboratory-reared 
M.  mercenaria). 

RESULTS 

Carapace  (Figs.,  lA,  B,  C,  3 A).— Length  1.67 
mm,  width  1.45  mm  (A'^  =  10).  Subquadrate,  with 
2  lateral  prominences  on  each  side;  dorsoven- 
trally  thick,  with  minute  tubercle  centrally  lo- 
cated. Posterior  border  fringed  with  numerous 
short  setae;  lateral  margin  with  few  scattered 
setae.  Rostrum  ventrally  deflexed,  nearly  verti- 
cal, with  deep  medial  depression,  rounded  anteri- 
orly. Angular  interorbital  prominences  extend 
ventrally  between  orbit  and  antennule.  Chroma- 
tophores  variable  in  placement,  but  almost  al- 
ways found  in  areas  indicated  in  Figure  IB. 


Eyes  (Figs.  lA,  B,  C,  3A). — Large,  exposed;  eye- 
stalks  sometimes  with  2  or  3  short,  simple  ante- 
rior setae,  always  with  posterodorsal  chroma- 
tophore. 

Abdomen  (Fig.  lA,  B). — Subequal  in  length  to 
carapace.  All  pleura  with  rounded  posterolateral 
angles.  All  somites  with  sparse  setae  dorsally; 
somites  2-5  always  with  elongated  chroma- 
tophores. 

Telson  (Fig.  IG). — Broadly  rounded  with  vari- 
able setation,  occasionally  with  pair  of  small  pos- 
terior spines  (as  in  Figure  IB). 

Antennule  (Fig.  IK). — Biramous;  peduncle  3- 
segmented,  with  variable  setation.  Basal  seg- 
ment of  peduncle  large,  bulbous,  always  with 
large  chromatophore;  middle  segment  subcylin- 
drical  with  0-2  distal  setae;  distal  segment  ovoid 
with  scattered  short  setae.  Lower  ramus 
1-segmented  with  6-8  setae;  upper  ramus 
5-segmented  with  aesthetascs  arranged  in  tiers, 
usually  0,  7,  8,  6,  4  subterminal  plus  3  terminal, 
with  short  setae  sometimes  present  on  segments 
2  and  4  (note:  all  aesthetascs  not  illustrated). 

Antenna  (Fig.  IJ). — Flagellum  12-segmented 
(sometimes  11),  with  3  peduncular  articles  and  8 
or  9  flagellar  articles  (see  Rice,  in  press,  for  cor- 
rect number  of  antennal  segments  in  megalopae); 
setation  variable,  usually  2,  3,  2,  0,  0,  2,  4,  0,  4  or 
5,  1,  4,  4. 

Mandibles  (Fig.  2F). — Asymmetrical,  with 
broadly  rounded  spade-shaped  cutting  edges;  palp 
2-segmented  with  setation  0,  11-14. 

Maxillule  (Fig.  2E). — Protopodite  with  1  or  2 
long  plumose  setae  on  posterodorsal  margin;  en- 
dopodite  2-segmented  with  setation  1, 2  subtermi- 
nal plus  2  terminal;  basal  endite  with  29-35 
spines  and  setae;  coxal  endite  with  13-16  spines 
and  setae. 

Maxilla  (Fig.  2D).— Scaphognathite  with  70-78 
fringing  setae  and  0—6  setae  on  blade;  endopodite 
unsegmented  with  0  or  1  distolateral  seta  and  4  or 
5  basal  plumose  setae;  basal  endite  bilobed  with 
setation  variable,  usually  8-10,  9-11;  coxal  en- 
dite bilobed  with  setation  usually  7,  9  or  10. 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


Maxilliped    1     (Fig.    20). — Exopodite    2-seg- 
mented, with  setation  2  or  3,  5-7.  Endopodite 


290 


MARTIN  ET  AL.:  MEGALOPAE  OF  STONE  CRABS  iMENIPPE) 


A-C 


D-K- 


Figure  l. — Megalopa  of  the  Gulf  stone  crab,  Menippe  adina.  A,  entire  animal,  lateral  view;  B,  same,  dorsal  view;  C,  frontal  view 
of  rostrum  and  eyes;  D,  pleopod  1;  E,  pleopod  4;  F,  pleopod  5;  G,  telson  and  posterior  part  of  sixth  abdominal  segment;  H, 
dactylus  of  pereiopod  3;     I,  dactylus  of  pereiopod  5;    J,  antenna;     K,  antennule.     Both  scale  bars  =  1.0  mm. 


291 


FISHERY  BULLETIN:  VOL.  86.  NO.  2 


Figure  2. — Megalopa  oi  Menippe  adina,  mouthparts.  A, 
third  maxilliped;  B,  second  maxilliped;  C,  first  maxil- 
liped;  D,  maxilla;  K,-  maxillule;  F,  mandible.  Scale 
bar  =  0.5  mm. 


292 


MARTIN  ET  AL.:  MEGALOPAE  OF  STONE  CRABS  (MENIPPE) 


unsegmented  with  6-8  setae  arranged  as  shown. 
Basal  endite  setation  28-33;  coxal  endite  setation 
15-17.  Epipodite  with  22  or  23  long,  minutely 
plumose  setae,  appearing  simple  under  low  mag- 
nification. 

Maxilliped  2  (Fig.  2B). — Exopodite  2-segmented, 
with  setation  3,  5-8.  Endopodite  4-segmented, 
with  setation  usually  5,  2  or  3,  5  or  6,  9  or  10; 
distal  segment  with  4  or  5  stout  serrate  setae. 
Epipodite  with  9  or  10  long  minutely  plumose 
setae. 

Maxilliped  3  (Fig.  2A). — Exopodite  2-seg- 
mented, with  setation  0  or  1,  6-8.  Endopodite 
5-segmented,  with  variable  setation,  usually  18- 
20,  15  or  16,  5-9,  6-8,  7-10;  ischium  with  scal- 
loped medial  border.  Epipodite  with  18  long 
minutely  plumose  setae  on  distal  two-thirds  plus 
8-12  plumose  setae  on  proximal  one-third.  Pro- 
topodite  setation  variable. 

Pereiopods  (Figs.  lA,  B,  H,  I,  3B,  C,  D).— Che- 
lipeds  long,  stout,  subequal;  dactylus  with  4  irreg- 
ular teeth;  immovable  finger  with  3  teeth  (Fig. 
3B);  tips  of  fingers  overlap  distally  when  approxi- 
mated. No  recurved  hook  on  basi-ischium 
(Fig.  3B).  Second  to  fourth  pereiopods  similar; 
dactylus  with  5  (rarely  4)  serrate  spines  ventrally 
(e.g.,  Figs.  IH,  3C,  D);  propodus  with  long  ven- 
trodistal  spine  (Fig.  IH).  Fifth  pereiopod  dactylus 
(Fig.  II)  with  3  long  pectinate  setae,  1  markedly 
toothed  and  concave  (Fig.  3E),  on  distal  ventral 
border  and  3  or  4  serrate  spines  ventrally. 

Pleopods  (Fig.  ID,  E,  F). — Decreasing  in  size 
posteriorly.  Pleopod  1  (Fig.  ID)  with  19-22 
plumose  setae;  endopodite  with  3  or  4  hooked 
setae.  Pleopod  4  (Fig.  IE)  with  19-21  plumose 
setae;  endopodite  with  3  or  4  hooked  setae 
(Fig.  3F).  Pleopod  5  (uropod)  (Fig.  IF)  with  12-14 
plumose  setae;  basal  segment  lacking  setae  or 


with  1  or  2  setae  (field  collections);  endopodite 
absent. 

Color. — Overall  coloration  rose-orange,  with 
dark  blue-black  chromatophores  located  as  shown 
in  Figure  lA,  B. 

DISCUSSION 

The  genus  Menippe  de  Haan,  1833,  presently 
contains  about  8  species,  only  3  of  which  occur  in 
North  America.  The  megalopa  stage  is  now  known 
for  3  species  in  the  genus:  M.  rumphii  (Fabricious, 
1798),  M.  nodifrons  Stimpson,  1859,  and  M.  adina 
Williams  and  Felder,  1986.  In  addition,  selected 
characters  of  M.  mercenaria  (Say,  1818)  are  pre- 
sented here  for  comparison;  some  characters  of 
that  species  are  also  obtainable  from  an  unpub- 
lished report  by  Kurata  (fn.  4)  (see  Table  1). 

Laboratory-reared  megalopae  of  M.  adina  were 
virtually  identical  to  megalopae  presumed  to  be- 
long to  M.  adina  that  were  collected  off  south 
Texas.  Even  meristic  counts  of  the  mouthpart  se- 
tation agreed  exactly,  with  the  only  observed  dif- 
ferences being  that  field-collected  megalopae 
were  slightly  larger  and  occasionally  bore  1  or  2 
setae  on  the  basal  segment  of  the  uropod.  Thus, 
we  feel  that  our  laboratory  conditions  have  not 
adversely  affected  development  or  introduced  ab- 
normal characters,  and  we  have  used  these  field 
collections  for  the  SEM  figures  of  M.  adina  mega- 
lopae (Fig.  3). 

We  expected  to  find  that  characters  of  the 
megalopa  of  M.  adina  are  similar  to  those  de- 
scribed by  Kurata  (fn.  4)  for  the  morphologically 
similar  (in  adulthood)  M.  mercenaria,  a  species 
known  to  hybridize  with  M.  adina  (see  Williams 
and  Felder  1986).  In  general  this  is  true.  How- 
ever, some  characters  reported  by  Kurata  differ 
from  our  observations  on  M.  adina  and  from  our 
laboratory-reared  megalopae  of  M.  mercenaria 
(Fig.  4).  Kurata  mentioned  (but  did  not  illustrate) 


Table  1 . — Comparison  of  characters  in  megalopae  of  the  genus  Menippe.     Dash  ( — )  indicates  information  not  available  from  reference. 


Size!  (mm) 
CL       CW 

Setation 

Spinafion 

Setation 
pleopod  5 

Palp  of 
mandible 

Epipod  of 

Dactylus  of 

Menippe 

Maxilliped  1 

Maxilliped  2 

Maxilliped  3 

Pereiopods  2-4 

Pereiopod  5 

Reference 

adina 

mercenaria 

mercenaria 

nodifrons 

rumphii 

1.67       1.45 
1.70       1.55 
1.7-8      — 
1.50       1.31 
1.60       1.55 

0,  11-14 
0,  11-13 

0,  10-13 
0,0,9 

22-23 
20-23 

12-20,  226 
22 

9-10 
7-10 

up  to  10 
8 

18 
18-20 

18 
18 

5 

4 

4-5 

5 

0 

4 
4 
0 
0 

0 

12-13 
11-13 
11-12 

11 

12 

Present  study 
Present  study 
Kurata3 
Scotto  1979 
Kakati  1977 

^CL  =  carapace  length;  CW  =  carapace  width. 

2From  a  megalops  hatched  from  a  stage  6  (rather  than  the  typical  stage  5)  zoea. 

3See  text  footnote  4. 


293 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Figure  3. — Scanning  electron  micrographs  (SEM)  of  selected  characters  of  Menippe  megalopae  (presumably  M.  adina  )  collected  in 
south  Texas.  A,  dorsal  view  of  carapace  (x  25);  B,  ventral  view  of  chelipeds  showing  dentition  of  the  fingers  and  lack  of  recurved 
hook  on  ischium  (x  37);  C,  dactyli  of  second  (upper  figure)  and  third  pereiopods  (x  230);  D,  higher  magnification  of  ventral 
dactylar  spine  indicated  by  arrow  in  C  (x  1,900);  E,  endopod  of  third  abdominal  pleopod  showing  4  dentate  hooklike  setae 
(x  2,200);     F,  serrate  setae  (only  2  of  3  shown)  of  dactylus  of  pereiopod  5  (x  2,300). 


294 


MARTIN  ET  AL.:  MEGALOPAE  OF  STONE  CRABS  iMENIPPE) 


Figure  4. — Scanning  electron  micrographs  (SEM)  of  selected  characters  of  the  laboratory-reared  megalopa  of  Menippe  merce- 
naria.  A,  dorsal  view  of  carapace  (x  37);  B,  ventral  view  of  chelipeds  and  third  maxillipeds  (x  55);  C,  dactylus  of  second 
pereiopod  showing  ventral  serrate  spines  (x  270);  D,  ventral  spines  on  dactylus  of  fourth  pereiopod  with  fewer  spinules  than 
anterior  pereiopod  spines  (x  2,000);  E,  dactylus  of  fifth  pereiopod  showing  four  serrate  "sensory"  setae  with  one  (arrow)  more 
obviously  serrate  (x  190);     F,  higher  magnification  of  concave  serrate  setae  indicated  by  eutow  in  E  (x  1,500). 


295 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


"about  9  small  spines"  on  the  ischium  of  the  third 
maxilliped;  we  found  no  spines  on  M.  adina  or  M. 
mercenaria  (Figs.  3B,  4B),  but  it  is  possible  that 
Kurata  was  referring  to  the  acute  borders  of  the 
scalloped  medial  margin  (our  Figure  2A),  in 
which  case  the  2  species  are  similar.  Spination  of 
the  ischium  of  pereiopods  1-3  differs  also;  Kurata 
described  5  or  6,  2  or  3,  and  1  small  spine  on  the 
ischia  of  pereiopods  1,  2,  and  3,  respectively, 
whereas  we  did  not  notice  this  condition  in  M. 
adina  or  M.  mercenaria  (see  Figures  3B,  4B).  Fi- 
nally, Kurata  (fn.  4:  pi.  74,  fig.  E)  illustrated  no 
spines  on  the  ventral  surface  of  the  fifth  pereiopod 
dactylus  of  M.  mercenaria;  these  spines  are  obvi- 
ous on  both  species  (Figs.  II,  4E).  We  found  few 
differences  between  megalopae  of  M.  adina  and 
M.  mercenaria.  General  morphology  of  the  cara- 
pace and  chelipeds,  spination  of  the  dactylus  of 
the  pereiopods,  and  setation  of  the  pleopods 
agreed  almost  exactly  (compare  Figures  3  and  4). 
Ventral  dactylar  spines  on  the  posterior  walking 
legs  of  M.  mercenaria  were  not  so  serrate  as  in  M. 
adina  and  were  sometimes  armed  with  only  2  or 
3  large  spinules  rather  than  the  numerous  spin- 
ules  seen  in  M.  adina  (e.g.,  Fig.  3D)  and  in  the 
more  anterior  legs  of  M.  mercenaria  (see  Figure 
3C,  D,  4C).  Also,  in  all  but  1  of  the  9  megalopae  of 
M.  mercenaria  examined  there  were  4  (rather 
than  3)  long  serrate  setae  on  the  dactylus  of  the 
fifth  pereiopod  (Fig.  4E).  As  in  M.  adina,  one  of 
these  setae  was  more  serrate  and  concave  than 
were  the  other  long  setae  (Fig.  4E,  F).  However, 
we  have  not  examined  mouthpart  morphology  of 
M.  mercenaria  in  the  detail  in  which  we  described 
M.  adina,  and  so  it  is  possible  that  additional 
characters  will  be  found  to  separate  these  2 
species  at  the  megalopa  stage. 

The  megalopa  of  M.  adina  is  very  similar  to 
that  of  M.  nodifrons  as  described  by  Scotto  (1979). 
Although  the  2  species  differ  in  setation  of  some 
of  the  mouthparts,  this  setation  may  differ  from 
side  to  side  in  a  given  individual.  The  salient 
character  that  serves  to  separate  megalopae  of 
these  2  species  is  the  presence  in  M.  adina  of  4 
stout  serrate  spines  on  the  dactylus  of  pereiopod 
5.  Scotto  (1979)  figured  only  setae  (and  no  spines) 
on  the  dactylus  of  the  fifth  pereiopod  in  M.  nod- 
ifrons and  the  dactylar  spines  on  other  pereiopods 
apparently  are  not  serrate  (Scotto  1979,  fig.  9c, 
pereiopod  3). 

The  megalopa  of  M.  rumphii  described  by 
Kakati  (1977)  differs  from  that  of  M.  nodifrons, 
M.  mercenaria,  and  M.  adina  in  having  a  more 
ovoid  carapace  with  the  rostrum  only  slightly  de- 


flexed.  Kakati  did  not  describe  the  dactyli  of 
pereiopods  2-5  for  M.  rumphii,  but  his  figure  of 
pereiopod  2  (1977:639,  fig.  2,  p.  50)  does  not  show 
stout  ventral  spines  on  the  dactylus.  Possibly 
Kakati  overlooked  these  spines;  if  not,  the  ab- 
sence of  these  spines  on  pereiopod  2  would  further 
serve  to  separate  the  megalopa  of  M.  rumphii 
from  those  of  A/,  nodifrons,  M.  mercenaria,  and  M. 
adina.  All  4  species  have  been  described  as  hav- 
ing a  rose-orange  coloration  in  life. 

Although  Rathbun  (1930)  and  Monod  (1956) 
synonymized  M.  rumphii  with  M.  nodifrons,  de- 
scriptions of  the  zoeal  stages  of  M.  rumphii  and  M. 
nodifrons  by  Kakati  (1977)  and  Scotto  (1979),  re- 
spectively, show  that  larvae  of  the  2  species  differ 
considerably.  In  the  first  zoeal  stage,  M.  rumphii 
exhibits  elongated  posterolateral  processes  on  ab- 
dominal segment  5  that  extend  posteriorly  to 
more  than  half  the  length  of  the  telsonal  furcae, 
which  lack  spines.  The  first  zoea  of  M.  nodifrons 
has  similar  posterolateral  processes  but  these  do 
not  extend  posteriorly  beyond  the  fork  of  the  tel- 
son;  the  telsonal  furcae  bear  1  dorsal  and  2  lateral 
spines  each.  These  differences  are  not  apparent  in 
later  zoeal  stages,  but  their  presence  in  the  first 
zoeal  stage  and  the  differences  noted  in  the  mega- 
lopa stage  may  be  reason  to  question  the  syn- 
onymy of  these  2  species. 

Xanthid  larvae  are  known  to  be  variable,  and  it 
is  often  difficult  to  reconcile  larval  and  adult 
groupings  based  on  morphology.  Larvae  of  some 
morphologically  disparate  (as  adult)  species  are 
very  similar,  whereas  zoeal  stages  for  species  in 
some  genera  differ  markedly  in  their  morphology 
(see  Martin  1984;  Martin  et  al.  1984,  1985;  Mar- 
tin and  Abele  1986).  Because  of  the  known  mor- 
phological variability  of  xanthid  larvae,  charac- 
ters presented  for  taxonomic  purposes  here  and 
elsewhere  (e.g.,  Martin  1984)  must  be  used  with 
caution. 

It  is  not  our  intent  to  promote  descriptions  of 
single  stages  in  the  life  cycles  of  brachyuran 
crabs.  However,  in  those  cases  where  a  descrip- 
tion of  a  single  stage  adds  appreciably  to  our 
knowledge  of  phylogeny  (e.g..  Rice  1981b)  or  fills 
a  gap  in  the  larval  biology  of  a  commercially  im- 
portant species  complex  (present  study),  we  feel 
such  a  description  is  justified.  A  detailed  compari- 
son of  zoeal  stages  of  the  two  species  is  planned  for 
the  near  future. 

ACKNOWLEDGMENTS 

We  are  grateful  to  D.  H.  Wilber  and  A.  B.  This- 


296 


MARTIN  ET  AL.:  MEGALOPAE  OF  STONE  CRABS  (MENIPPE) 


tie  for  constructive  criticism  of  the  manuscript,  to 

B.  E.  Felgenhauer  for  help  in  preparing  the  fig- 
ures, to  N.  N.  Rabalais  and  B.  Cole  for  assistance 
in  rearing  larvae  of  M.  mercenaria,  and  to  L.  G. 
Abele  for  providing  space  and  facilities  for  the 
research.  We  thank  S.  Silvers  and  K.  Riddle  of  the 
Florida  State  University  Electron  Microscopy 
Center  for  their  expert  assistance.  We  also  thank 

C.  Dugas,  Louisiana  Department  of  Wildlife  and 
Fisheries,  for  collecting  the  ovigerous  specimen  of 
M.  adina.  This  work  was  supported  in  part  by  the 
National  Science  Foundation  grants  No.  BSR- 
8414347  and  BSR-8615018  to  J.  W.  Martin  and 
L.  G.  Abele,  and  by  a  research  grant  to  D.  L. 
Felder,  N.  N.  Rabalais,  F.  M.  Truesdale,  and 

D.  W.  Foltz  from  the  Louisiana  Education  Quality 
Support  Fund  under  grant  No.  86-LUM(2)-084- 
09. 

LITERATURE  CITED 

Felder,  D  L 

1973.     An  annotated  key  to  crabs  and  lobsters  (Decapoda, 
Reptantia)  from  coastal  waters  of  the  northwestern  Gulf 
of  Mexico.     La.  State  Univ.  Cent.  Wetland  Resour.,  Publ. 
LSU-SG-73-02.     Baton  Rouge,  LA. 
Felder,  D.  L.,  J.  W.  Martin,  and  J.  W.  Gov. 

1985.     Patterns  in  early  postlarval  development  of  deca- 
pods.    In  A.  M.  Wenner  (editor),  Larval  growth,  p.  163- 
225.     Crustacean  Issues,  vol.  2.     Balkema  Press,  Rotter- 
dam. 
Felgenhauer,  B  E. 

1987.     Techniques  for  preparing  crustaceans  for  scanning 
electron  microscopy.     J.  Crustacean  Biol.  7:71-76. 
Hyman.  O  W 

1925.     Studies  on  the  larvae  of  crabs  of  the  family  Xanthi- 
dae.     Proc.  U.S.  Natl.  Mus.  67:1-22. 
Kakati,  V  S. 

1977.     Larval  development  of  the  crab,  Menippe  rumphii 
(Fabricious),  as  observed  in  the  laboratory  (Crustacea, 
Brachyura).     Proc.   Symp.    Warm   Water  Zooplankton, 
UNESCO/NIO  Spec.  Publ.,  p.  634-641. 
Martin.  J  W 

1984.  Notes  and  bibliography  on  the  larvae  of  xanthid 
crabs,  with  a  key  to  the  known  xanthid  zoeas  of  the  west- 
em  Atlantic  and  Gulf  of  Mexico.  Bull.  Mar.  Sci.  34:220- 
239. 
In  press.  Phylogenetic  significance  of  the  brachyuran 
megalopa:  evidence  from  the  Xanthidae.     In  A.  A.  Fin- 


cham  and  P.  S.  Rainbow  (editors),  Aspects  of  decapod 
crustacean  biology.     Symp.  Zool.  Soc.  Lond.,  Vol.  59. 

Martin.  J  W..  and  L  G  Abele 

1986.  Notes  on  male  pieopod  morphology  in  the 
brachyuran  crab  family  Panopeidae  Ortmann,  1893, 
sensu  Guinot  (1978)  (Decapoda).  Crustaceana  50:182- 
198. 

Martin,  J  W.,  D  L.  Felder,  and  F  M  Truesdale. 

1984.  A  comparative  study  of  morphology  and  ontogeny 
in  juvenile  stages  of  four  western  Atlantic  xanthoid  crabs 
(Crustacea:  Decapoda:  Brachyura).  Philos.  Trans.  R. 
Soc.  Lond.,  Ser.  B,  303:537-604. 

Martin,  J.  W.,  F.  M.  Truesdale.  and  D.  L.  Felder. 

1985.  Larval  development  of  Panopeus  bermudensis 
Rathbun,  1891  (Brachyura,  Xanthidae)  with  notes  on 
zoeal  characters  in  xanthid  crabs.  J.  Crustacean  Biol. 
5:84-105. 

MONOD,  Th 

1956.     Hippidea    et    Brachyura    ouest-africains.     M6m. 
Inst.  Fr.  Afr.  Noire  45:1-674. 
Porter,  H.  J 

1960.     Zoeal  stages  of  the  stone  crab,  Menippe  mercenaria 
Say.     Chesapeake  Sci.  1:168-177. 
Rathbun,  M.  J. 

1930.    The  cancroid  crabs  of  America  of  the  families  Eu- 
ryalidae,  Portunidae,  Atelecyclidae,  Cancridae,  and  Xan- 
thidae.    U.S.    Natl.  Mus.  Bull.  152:1-609. 
Rice,  A.  L. 

1981a.     The  megalopa  stage   in  brachyuran  crabs.  The 

Podotremata  Guinot.     J.  Nat.  Hist.  15:1003-1011. 
1981b.     The  zoea  of  Acanthodromia  erinacea  A.  Milne  Ed- 
wards; the  first  description  of  a  dynomenid  larva  (Deca- 
poda, Dromioidea).     J.  Crustacean  Biol.  1:174-176. 
In  press.    The  megalopa  stage  in  majid  crabs,  with  a  re- 
view of  spider  crab  relationships  based  on  larval  charac- 
ters.    In  A.  A.  Fincham  and  P.  S.  Rainbow  (editors).  As- 
pects of  decapod  crustacean  biology.     Symp.  Zool.  Soc. 
Lond.,  Vol.  59. 
Scotto.  L.  E. 

1979.     Larval    development    of  the    Cuban    stone    crab, 
Menippe  nodifrons  (Brachyura,  Xanthidae)  under  labora- 
tory conditions  with  notes  on  the  status  of  the  family 
Menippidae.     Fish.  Bull.,  U.S.  77:359-386. 
Williams,  A.  B 

1984.     Shrimps,  lobsters,  and  crabs  of  the  Atlantic  coast  of 
the  eEistem  United  States,  Maine  to  Florida.     Smithson. 
Inst.  Press,  550  p. 
Williams,  A.  B.,  and  D.  L.  Felder. 

1986.  Analysis  of  stone  crabs:  Menippe  mercenaria  (Say), 
restricted,  and  a  previously  unrecognized  species  de- 
scribed (Decapoda:  Xanthidae).  Proc.  Biol.  Soc.  Wash. 
99:517-543. 


297 


OCEANOGRAPHIC  ASSOCIATIONS  OF  NEUSTONIC  LARVAL  AND 
JUVENILE  FISHES  AND  DUNGENESS  CRAB  MEGALOPAE  OFF  OREGON 


Jonathan  M.  Shenker' 


ABSTRACT 

The  larval  and  juvenile  fishes  and  crabs  inhabiting  the  neustonic  zone  within  50  km  of  the  coast  were 
sampled  biweekly  from  April  through  July  1984,  with  a  Manta  net  (mouth  1.0  m  wide  x  0.7  m  deep), 
and  a  large  neuston  trawl  (mouth  3.5  m  wide  x  1.0  m  deep).  The  Manta  net  was  an  efficient  sampler 
for  larval  fishes  and  crabs,  while  the  neuston  trawl  collected  larger  juvenile  fishes  that  had  rarely 
been  observed  in  previous  studies. 

Nocturnal  sampling  accounted  for  nearly  all  the  ichthyoneuston  and  zooplankton  taken.  Dunge- 
ness  crab  megalopae  were  the  most  abundant  species.  Although  present  throughout  the  survey,  the 
great  majority  were  found  in  very  large  aggregations  along  visible  convergence  zones  or  in  association 
with  Velella  velella.  Discrete  groups  of  abundant  larval  and  juvenile  fishes  were  found  prior  to 
upwelling  [Parophrys  vetulu3 ,  Scorpaenichthys  marmoratus ,  Hemilepidotus  spinosus,  Hexagrammos 
sp.,  and  A noplopoma  fimbria )  and  after  its  onset  (Engraulis  mordax  and  Sebastes  spp.).  These  species 
had  distinct  zonal  (east-west)  distribution  patterns  and  were  generally  associated  with,  or  affected  by, 
hydrographic  characteristics  such  as  convergences,  upwelling,  and  the  Columbia  River  plume. 


Recent  studies  of  the  ichthyoplankton  off  the 
northwest  coast  of  the  United  States  have  con- 
tributed new  information  on  the  temporal  and 
spatial  occurrences  of  larvae  of  coastal  and 
pelagic  fish  species  (Richardson  1973;  Richardson 
and  Pearcy  1977;  Laroche  and  Richardson  1979; 
Richardson  et  al.  1980;  Kendall  and  Clark  1982a, 
b;  Clark  1984;  Bates  1984;  Mundy  1983;  Brodeur 
et  al.  1985;  Boehlert  et  al.  1985).  These  surveys 
focused  on  larvae  occurring  below  the  surface 
layer  of  the  ocean,  although  concurrent  neustonic 
samples  were  occasionally  collected  (Kendall  and 
Clark  1982  a,  b;  Clark  1984;  Bates  1984;  Richard- 
son^). Comparison  of  simultaneous  surface  and 
subsurface  samples  demonstrated  that  many  spe- 
cies were  found  in  both  depth  strata,  while  an 
additional  group  of  species  was  collected  only 
from  the  neustonic  zone.  Brodeur  et  al.  (1987) 
examined  the  larval  fish  and  invertebrate  compo- 
nents of  the  neuston  in  the  northeast  Pacific,  and 
determined  that  these  organisms  were  frequent 
prey  items  of  juvenile  salmonids. 


^Oregon  State  University,  College  of  Oceanography,  Hatfield 
Marine  Science  Center,  Newport,  OR  97365;  present  address: 
University  of  California,  Bodega  Marine  Laboratory,  P.O.  Box 
247,  Bodega  Bay,  CA  94923. 

2Richardson,  S.  L.  Oregon's  coastal  ichthyoneuston  -  a  pre- 
liminary report.  Unpubl.  rep.  Presented  at  American  Soci- 
ety of  Ichthyologists  and  Herpetologists,  Williamsburg,  VA, 
June  1975. 


Manuscript  accepted  November  1987. 
FISHERY  BULLETIN;  VOL.  86,  NO.  2,  1988. 


Standard  plankton  and  neuston  nets  used  in 
these  studies  were  effective  in  collecting  the  rela- 
tively slow-moving  early  larvae.  However,  net 
avoidance  by  larger  larvae  and  juvenile  stages 
(Barkley  1972;  Murphy  and  Clutter  1972)  sug- 
gests that  use  of  traditional  collecting  gear  is  in- 
appropriate for  more  mobile  fishes.  This  paper 
describes  the  results  of  a  neustonic  survey  con- 
ducted off  the  Oregon  coast  in  the  spring  and  sum- 
mer of  1984  that  focused  on  the  larger  ichthy- 
oneuston. Conventional  sampling  gear  and  a  new 
net  designed  specifically  for  sampling  juvenile 
fishes  were  used  to  characterize  the  temporal  and 
spatial  distribution  patterns  of  both  larval  and 
juvenile  ichthyoneuston  and  Dungeness  crab, 
Cancer  magister,  megalopae. 

MATERIALS  AND  METHODS 

Sampling  was  conducted  at  approximately 
2-wk  intervals  from  early  April  through  July 
1984,  on  an  east-west  transect  along  the  44°40'N 
parallel,  3  km  north  of  Newport,  OR  (Fig.  1).  Sta- 
tions were  located  at  distances  of  1,  5,  10,  15,  20, 
30,  40,  and  50  km  from  shore.  The  stations  were 
occupied  twice  during  each  24-h  cruise,  once  dur- 
ing the  day  and  once  at  night.  On  one  cruise  (8-10 
June),  the  50  km  station  was  occupied  for  27 
hours  to  assess  diel  variation  in  abundance  of 
neustonic    organisms.    In    response    to    several 

299 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


45° 
00' 


-1 1 1 r- 


440 
50' 


90 


80 


70 


60 


50      40 


30 


15        5 
•   •   •   •) 

20      10      It 


YAQUINA 
BAY 


125° 
00' 


124° 
30' 


124° 
00' 


Figure  1. — Location  of  stations  along  the  transect  off  Newport, 
OR.  The  numbers  indicate  distance  offshore  in  kilometers. 


weeks  of  strong  upwelling,  during  which  very  few 
larvae  were  collected  close  to  the  coast,  the  sam- 
pling scheme  was  modified  for  the  two  July 
cruises  by  eliminating  some  of  the  inshore  sta- 
tions and  extending  the  transect  as  far  offshore  as 
90  km.  Only  night  samples  were  collected  during 
July. 

One  of  the  primary  considerations  of  the  survey 
was  to  collect  samples  while  minimizing  net 
avoidance  by  the  target  organisms.  Reduction  of 
vessel-induced  disturbance  was  accomplished  by 
deploying  the  collecting  gear  from  the  ends  of  12 
m-long  outriggers  on  the  FV  Cumberland  Trail, 
a  chartered  23  m  commercial  scallop-fishing  ves- 
sel. 

Two  different  nets  were  used  to  collect  the  sam- 
ples. Larval  fish  and  zooplankton  were  collected 
with  a  Manta  neuston  net  (Brown  and  Cheng 
1981),  modified  to  have  a  mouth  1.0  m  wide  x  0.7 
m  deep.  The  Manta  frame  was  equipped  with  a 
green-colored  0.333  mm  mesh  net,  PVC  cod  end 
bucket,  and  General  Oceanics  model  2030  digital 
flowmeter'^.  A  two-point  bridle  was  attached  to 
the  upper  corners  of  the  frame.  Drag  on  the  net 
while  towing  kept  the  entire  bridle  and  towing 
wire  assembly  out  of  the  water. 

The  second  net  was  designed  to  collect  the 
larger  juvenile  fishes  that  were  assumed  to  avoid 
the  smaller  Manta  net.  The  neuston  trawl  was 
constructed  with  a  mouth  3.50  m  wide  x  1.05  m 
deep  (Fig.  2a).  The  frame  consisted  of  43  mm  (out- 


3References  to  trade  names  do  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


side  diameter)  heavy-duty  galvanized  pipe,  with 
towing  points  welded  at  the  four  corners.  Flota- 
tion for  the  frame  was  provided  by  three  inflat- 
able spar  buoy  floats.  These  40  cm  diameter  floats 
had  hollow  tubes  running  through  their  centers 
and  were  fitted  onto  the  upper  bar  of  the  frame. 
The  8.5  m-long  net  was  made  of  4.8  mm  green- 
colored  woven  mesh,  with  a  15  cm-wide  cloth 
collar  around  the  mouth,  PVC  cod  end  bucket  and 
General  Oceanics  model  2030  flowmeter.  The  net 
had  a  mouth  slightly  larger  than  the  frame 
(3.70  m  X  1.20  m)  so  the  net  could  be  laced  around 
the  outside  of  the  frame  and  flotation  buoys.  The 
ends  of  six  12  mm  polypropylene  rope  riblines 
running  the  length  of  the  net  were  shackeled  to 
the  frame  for  additional  support.  A  4-point  bridle 
of  6.4  mm  wire  was  attached  to  the  corners  of  the 
neuston  trawl  (Fig.  2b).  Drag  forces  kept  the  en- 
tire bridle  and  towing  wire  (except  for  the  two 
short  segments  attached  to  the  bottom  of  the 
frame)  out  of  the  water.  A  length  of  5  cm 
polypropylene  rope  was  attached  between  the 
upper  towing  points  on  the  frame,  as  a  bridle  for 
use  in  deploying  and  retrieving  the  net.  A  line 
attached  to  the  retrieval  bridle  was  passed  to  a 
hydraulic  capstan  through  a  block  tied  in  the  rig- 
ging over  the  deck.  During  a  tow,  this  retrieval 
line  was  slackened,  but  remained  attached  to  the 
vessel,  and  floated  in  a  broad  arc  behind  the  net 
mouth. 

At  each  station,  the  neuston  trawl  and  Manta 
net  were  towed  simultaneously  from  the  port  and 
starboard  outriggers,  at  approximately  1-1.5  m/ 
second.  Tows  were  generally  made  either  against 
or  with  the  direction  of  the  prevailing  swells.  The 
Manta  net  was  usually  fished  for  approximately 
8-9  minutes/tow  and  filtered  about  300-400  m^. 
The  neuston  trawl  generally  filtered  2,000-3,000 
m'^  during  a  10-11  minute  tow.  Additional  tows 
with  the  neuston  trawl  were  frequently  made  at 
a  station  to  assess  small-scale  patchiness  and 
to  sample  visible  "structures"  in  the  surface 
layer,  such  as  convergence  zones  marked  by  foam 
lines  and  rafts  of  the  pleustonic  hydroid  Velella 
uelella. 

On  several  cruises,  onset  of  high  winds  and 
rough  sea  conditions  prevented  use  of  the  Manta 
net  during  the  daj^ime  sampling  of  the  transect 
as  we  returned  toward  shore.  However,  we  were 
able  to  fish  the  neuston  trawl  in  winds  up  to  an 
estimated  40—45  km/hour,  and  in  white-capped 
seas  of  2-3  m.  Neuston  trawl  samples  were  col- 
lected at  alternate  stations  during  the  periods  of 
adverse  weather. 


300 


SHENKER:  OCEANOGRAPHIC  ASSOCIATION  OF  NEUSTONIC  MEROPLANKTON 


a) 


0.4m 


1.05m 


3.50m 


1.0m 


6.0m 


b) 


Figure  2a. — Front  view  of  the  neuston  trawl;  B  =  inflated  40  cm  diameter  spar  buoys; 

C  =  cloth  collar  around  mouth  of  net;  R  =  polypropylene  rib  lines. 
Figure  2b. — Side  view  of  the  neuston  trawl  showing  construction  of  the  towing  bridle. 

Floats  were  removed  for  clarity. 


Several  very  large  catches  of  Dungeness  crab 
megalopae  in  the  neuston  trawl  were  subsampled 
by  volume,  with  the  majority  of  the  megalopae 
being  returned  alive  to  the  ocean.  Samples  from 
both  nets  were  preserved  in  10%  formalin/sea- 
water  and  sent  to  the  laboratory  for  analysis.  All 
larval  and  juvenile  fishes  were  identified  to  the 
lowest  practical  taxonomic  level.  After  extrapo- 
lating catch  sizes  from  subsample  counts,  the 
data  were  normalized  to  produce  density  esti- 
mates of  organisms/1,000  m^^.  As  an  indicator  of 
patchiness  of  abundant  taxa,  the  coefficient  of  dis- 
persion (CD.  =  S'^/X )  was  calculated  for  the  sam- 
ples in  which  each  taxon  was  present. 

Hydrographic  and  meteorological  data  were 
collected  at  each  station.  Surface  water  tempera- 
ture was  determined  with  a  handheld  bucket 
thermometer.  Water  samples  were  collected  for 
laboratory  analysis  of  surface  salinity  using  a 
Model  8400  Guildline  Autosalinometer.  A  200 


mL  surface  water  sample  was  filtered  through  a 
0.3  fxm  pore  size  Gelman  A/E  glass  fiber  filter  for 
determination  of  chlorophyll  a  concentration.  The 
filters  were  stored  in  dessicant  over  dry  ice  at  sea, 
and  then  in  a  freezer,  before  acetone  extraction  of 
the  chlorophyll  a  and  analysis  with  a  Turner  De- 
signs Model  10  Fluorometer.  During  the  daytime, 
Secchi  depths  were  estimated,  using  a  30  cm  disc, 
and  surface  irradiance  was  measured  with  a 
handheld  General  Electric  Model  214  Light 
Meter.  Other  data  collected  included  weather  and 
sea  state  conditions  at  each  station. 

RESULTS 

Hydrographic  Data 

The  neustonic  realm  was  characterized  by  dis- 
tinct temporal  and  spatial  patterns  that  reflect 
the   highly   dynamic  springtime   oceanographic 


301 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


processes  of  the  Oregon  coastal  zone.  Daily  up- 
welling  indices  derived  from  barometric  pressure 
data  (Fig.  3;  A.  Bakun"*)  indicated  that  in  April 
and  May,  local  winds  varied  in  direction  and 
strength,  with  one  extended  period  of  stormy 
weather  with  southwest  winds  (negative  index 
values).  Temperature  and  salinity  profiles  during 
these  months  showed  relatively  little  variation 
along  the  transect  within  a  sampling  period  (Fig. 
4a,  b,  c).  Chlorophyll  a  peaks  and  low  salinity 
near  shore  may  have  been  due  to  the  influence  of 
water  exiting  Yaquina  Bay.  The  highest  chloro- 
phyll a  values  were  observed  following  periods  of 
northwest  winds,  and  the  highest  temperatures 
occurred  after  a  period  of  very  light  winds  and 
high  insolation. 

The  hydrographic  regime  was  altered  by  the 
onset  of  northwest  winds  in  June  (Fig.  3),  which 
induced  the  upwelling  of  cold,  more  saline 
nutrient-rich  water  along  the  coast.  Strong  up- 
welling  [defined  by  Small  and  Menzies  (1981)  as 
a  daily  index  value  >50]  was  sporadic  in  June  but 
nearly  continuous  in  July.  Temperature,  salinity, 
and  chlorophyll  a  profiles  rapidly  changed  in  re- 
sponse to  the  upwelling-favorable  winds  (Fig.  5a, 
b,  c). 

During  the  8-10  June  cruise,  low  temperature 
and  high  salinity  water  was  found  within  5  km  of 
the  coast.  Low  salinity,  warm  water  more  than  15 
km  offshore  apparently  was  the  plume  of  the  Co- 
lumbia River.  By  19-20  June,  continued  offshore 
transport  of  the  surface  layer  pushed  the  inshore 
edge  of  the  plume  to  40  km  off  the  coast.  Low 
chlorophyll  a  concentrations,  low  temperatures, 
and  high  salinity  near  shore  on  19-20  June  indi- 
cated the  occurrence  of  active  upwelling. 

Upwelling  persisted  through  the  end  of  July. 
Temperature  and  salinity  profiles  were  similar  to 
those  observed  during  the  second  June  cruise, 
with  the  patterns  of  increasing  temperature  and 
decreasing  salinity  farther  offshore  continuing  to 
the  limits  of  sampling  of  90  km  on  8  and  9  July 
and  to  70  km  on  23  and  24  July.  During  the  up- 
welling in  July,  a  dramatic  phytoplankton  bloom 
occurred  in  the  surface  waters  within  30  km  of  the 
coast.  Chlorophyll  a  concentrations  here  were 
denser  and  broader  in  offshore  extent  than  the 
surface  and  subsurface  biomass  concentrations 
previously  observed  off  Oregon  (Small  and  Men- 
zies, 1981). 


+  200 


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"•A.  Bakun,  Pacific  Environmental  Group,  National  Marine 
Fisheries  Service,  Monterey,  CA  93940,  pars,  commun.  August 
1984. 


M  J  J 

1984 

Figure  3. — Daily  upwelling  indices  for  spring-summer  1984. 
Positive  values  >50  indicate  occurrence  of  winds  inducing 
strong  upwelling.  Arrows  indicate  dates  of  sampling  cruises. 


Ichthyoneuston 

A  total  of  107  Manta  net  and  142  neuston  trawl 
samples  collected  48  taxa  of  larval,  juvenile,  and 
adult  fishes.  Larvae  <10  mm  and  a  few  juveniles 
were  collected  by  the  Manta  net,  while  large 
numbers  of  juvenile  fishes  up  to  60-70  mm  were 
taken  by  the  neuston  trawl.  Size-frequency  data 
for  three  of  the  commonest  species  (Fig.  6  a,  b,  c) 
illustrate  the  relative  ability  of  the  nets  to  cap- 
ture different  sizes  of  fishes. 

Nighttime  sampling  (59%  of  the  Manta  net 
tows  and  62%  of  the  neuston  trawl  tows)  ac- 
counted for  93.3%  of  all  fishes  in  the  Manta  net 
catch  and  96.5%  of  the  fishes  taken  in  the  neuston 
trawl  (Table  1).  Four  Manta  net  and  8  neuston 
trawl  tows  made  during  twilight  collected  5.4% 
and  2.9%,  respectively,  of  the  total  number  of 
fishes  taken  with  each  gear  type  (Table  2).  Only 
1.3%  of  the  Manta  net  catch  and  0.6%  of  the  neu- 
ston trawl  catch  was  made  during  daytime  (Table 
2). 

Only  two  species  were  not  collected  predomi- 
nantly at  night.  Larval  Pacific  saury,  Cololabis 
saira,  were  taken  in  both  day  and  night  Manta 
net  samples.  Larval  northern  lampfish,  Steno- 
brachius  leucopsarus ,  were  abundant  only  in  the 
twilight  samples  from  early  June  (Tables  1,  2). 

Arbitrary  criteria  on  frequency  of  occurrence 
(in  >15%  of  the  night  samples  of  either  net)  or 
abundance  (peak  densities  >40/l,000  m"^)  indi- 
cated that  nine  taixa  of  larval,  juvenile,  and  adult 
fishes  were  dominant  components  of  the  ichthy- 
oneuston. Most  taxa  were  characterized  by  dis- 


302 


SHENKER:  OCEANOGRAPHIC  ASSOCIATION  OF  NEUSTONIC  MEROPLANKTON 
14 


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10  20  30  40 

DISTANCE  FROM  SHORE    (km) 


% 


50 


Figure  4a-c. — Nighttime  environmental  conditions  observed  on  each  cruise  during  the  pre-upwelling  period, 
a  =  temperature;  b  =  salinity;  c  =  chlorophyll  a  concentration. 


303 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


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30        40        50        60        70        80 
DISTANCE  FROM  SHORE  (km) 


100 


Figure  5a-c. — Nighttime  environmental  conditions  observed  on  each  cruise  during  the  upwelling  period, 
a  =  temperature;  b  =  salinity;  c  =  chlorophyll  a  concentration. 


304 


SHENKER  OCEANOGRAPHIC  ASSOCIATION  OF  NEUSTONIC  MEROPLANKTON 


tinct  temporal  shifts  in  occurrence:  Five  taxa 
were  abundant  only  prior  to  the  onset  of  continu- 
ous upwelling  in  mid-June,  three  taxa  were  spo- 
radically abundant  following  the  beginning  of  up- 
welling,  and  one  species  (Ronquilus  jordani)  was 
present  tliroughout  the  survey. 

Pre-upwelling  Species 

The  numerically  dominant  species  in  the 
nearshore  region  in  spring  was  larval  English 
sole,  Parophyrys  vetulus.  These  larvae  were 
patchily  distributed  (CD.  =  32.5)  within  30  km 
offshore,  reaching  densities  of  75/1,000  m'^  in 
Manta  net  collections.  Larval  abundance  declined 
rapidly  after  April  (Table  1).  Size-frequency  dis- 
tributions indicated  that  the  Manta  net  was  more 
effective  than  the  neuston  trawl  for  collecting  fish 
<15  mm  (Kolmogorov-Smirnov  test,  P<0.01). 
Eye  migration  in  the  larger  fish  (20-24  mm)  was 
nearly  complete,  indicative  of  their  impending 
shift  to  a  benthic  existence.  Similar-sized  juve- 
niles were  taken  nearshore  in  April  in  benthic 
tows  (B.  Mundy^). 

Cabezon,  Scorpaenichthys  marmoratus ,  larvae 
were  most  abundant  in  Manta  catches  in  the 
spring  (Table  1),  although  newly  hatched  larvae 
were  collected  near  shore  through  June.  The 
smallest  larvae  (4-6  mm.)  were  taken  only  at  the 
1-15  km  stations,  while  larvae  up  to  10  mm  were 
found  along  the  entire  transect.  These  larvae 
were  patchily  distributed,  with  April  densities 
reaching  207/1,000  m^  (CD.  =  92.7).  Frequency 
of  occurrence  and  larval  density  declined  through 
early  July.  Large  juvenile  cabezon  (26-38  mm) 
were  collected  by  the  neuston  trawl  (Fig.  6a). 
These  juveniles  were  encountered  all  along  the 
transect  from  April  to  mid-June. 

Two  dominant  taxa  found  at  all  stations  prior 
to  upwelling  were  greenling  (Hexagrammos  sp.) 
and  brown  Irish  lord,  Hemilepidotus  spinosus .  Ju- 
venile greenlings  were  the  most  frequently  col- 
lected species,  occurring  in  AA.9>%  of  the  night- 
time neuston  trawl  samples  (Table  1),  although 
they  were  rarely  taken  by  the  Manta  net  (Fig.  6b). 
They  were  the  most  evenly  dispersed  of  the  abun- 
dant fish  collected  (CD.  =  2.2),  and  never  ex- 
ceeded densities  of  10/1,000  m^.  The  two  largest 
catches  of  greenling  were  made  in  association 
with  distinct  hydrographic  features.  Nineteen  ju- 


a)   Scorpaenichthys  marmoratus 


100 -, 


50  - 


I J  Manta  net 


Neuston  trawl 


TT' 


4     6     8    10  20  26   32  38 

b)    Hexagrammos  sp. 


40  —I 


30  - 


20  - 


10  - 


c)  Anoplopoma  fimbria 


5B.  C.  Mundy,  Southwest  Fisheries  Center  Honolulu  Labora- 
tory, National  Marine  Fisheries  Service,  NOAA,  2570  Dole 
Street,  Honolulu,  HI  96822,  pers.  commun.  May  1984. 


T r 

10   20  30  40  50  60   70  80  90  100  IK)  120130 

Standard  Length  (mm) 

Figure  6a-c. — Length-frequency  data  of  larval  and  juvenile 
fishes  collected  by  each  net.  a  =  Scorpaenichthys  marmoratus ; 
b  =  Hexagrammos  sp.;  c  =  Anoplopoma  fimbria. 


veniles  were  collected  from  a  convergence  zone 
near  shore  in  mid-May  (along  with  150,000  Dun- 
geness  crab  megalopae)  and  20  juveniles  were 
taken  from  Columbia  River  plume  water  50  km 
offshore  in  early  June.  Mean  lengths  of  greenling 
from  the  neuston  trawl  samples  increased  from 


305 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


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308 


SHENKER:  OCEANOGRAPHIC  ASSOCIATION  OF  NEUSTONIC  MEROPLANKTON 


38.8  mm  (A^  =  10)  in  early  April  to  51.2  mm 
{N  =  72)  during  the  first  June  cruise. 

Brown  Irish  lord  juveniles  were  the  numeri- 
cally most  abundant  and  the  second  most  fre- 
quently occurring  species  (Table  1).  Early  juve- 
niles (10-20  mm)  were  taken  with  both  nets  in 
April  and  May  only  at  the  offshore  (40-50  km) 
stations.  Larger  juveniles  (20-30  mm)  were 
patchily  distributed  from  April  through  mid-June 
all  along  the  transect  (CD.  =  14.1).  Although 
47%  of  the  total  number  of  trawl  caught  speci- 
mens were  taken  in  densities  below  15/1,000  m-^, 
repeated  sampling  in  one  large  aggregation  ac- 
counted for  the  bulk  of  the  catch.  Three  sequen- 
tial tows  at  the  50  km  station  on  5  May  had  juve- 
nile densities  of  15-39/1,000  m*^  ,  but  distinctive 
hydrographic  characteristics  at  the  station  were 
not  detected. 

The  only  species  with  a  characteristic  offshore 
distribution  prior  to  upwelling  was  sablefish, 
Anoplopoma  fimbria.  Small  juveniles  (10-45 
mm)  were  effectively  taken  by  the  Manta  net, 
while  the  neuston  trawl  was  more  efficient  at  col- 
lecting 30-70  mm  specimens  (Fig.  6c).  The  10-50 
mm  fish  were  collected  primarily  at  the  50  km 
station  from  April  through  mid-June,  although 
several  specimens  were  taken  closer  inshore.  The 
50-75  mm  fish  were  captured  only  on  8-10  June 
from  the  Columbia  River  plume  water  at  the  50 
km  station.  After  the  onset  of  upwelling,  two  indi- 
viduals ( 120-130  mm)  were  taken  80-90  km  from 
shore. 

Upwelling  Species 

Three  taxa  were  abundant  on  only  one  of  three 
cruises  made  after  the  onset  of  upwelling  in  mid- 
June  (Table  1).  Distributions  of  northern  an- 
chovy, Engraulis  mordax,  larvae;  rockfish  (Se- 
bastes  spp.)  larvae;  and  adult  blue  lanternfish, 
Tarletonbeania  crenularis,  overlapped  at  some 
offshore  stations  on  8  and  9  July.  The  offshore 
portion  of  the  transect  was  characterized  by  a 
drop  in  salinity  and  an  increase  in  temperature 
between  60  and  70  km  offshore  (Fig.  5a,  b),  indi- 
cating a  transition  from  coastal  to  Columbia 
River  plume  water. 

Of  the  814  rockfish  larvae  collected  throughout 
the  survey,  87%  were  taken  at  the  50-90  km  sta- 
tions on  this  cruise,  with  a  peak  density  of  the 
3.5-7.0  mm  larvae  of  684/1,000  m^.  Adult  blue 
lanternfish  were  present  in  densities  up  to  315/ 
1,000  m"^  at  the  60-90  km  stations.  Lanternfish 
from  simultaneous  Manta  and  neuston  trawl  tows 


displayed  no  difference  in  length-frequency  dis- 
tributions, although  a  significant  change  in  the 
size  structure  of  the  catches  between  stations  was 
observed  (K-S  test,  P  <  0.01).  Mean  size  of  the 
fish  decreased  approximately  10%  between  adja- 
cent stations,  from  50.9  mm  at  60  km  to  37.8  mm 
at  90  km.  Anchovy  larvae  (3-9  mm)  were  re- 
stricted to  the  lower  salinity  plume  water  at  the 
70-90  km  stations,  with  peak  and  mean  densities 
of  368  and  210/1,000  m^,  respectively. 

Persistant  Species 

Only  northern  ronquils,  Ronquilus  jordani, 
were  abundant  in  both  pre-upwelling  and  up- 
welling periods.  The  elongate  larvae  and  juve- 
niles were  collected  with  the  Manta  net  starting 
in  mid-April,  with  abundances  peaking  at  40/ 
1,000  m*^  in  July.  Mean  lengths  over  this  time 
interval  increased  from  8.7  mm  (n  =  8)  to  26.6 
mm  (n  =  43).  Ronquils  were  relatively  dispersed 
along  the  transect  (CD.  =  7.6),  and  size  or  sea- 
sonal patterns  of  distribution  were  not  detected. 

Dungeness  Crab  Megalopae 

Dungeness  crab  megalopae  were  the  dominant 
component  of  the  catches  throughout  the  survey, 
with  an  estimated  total  of  350,000  megalopae  col- 
lected in  249  hauls.  The  megalopae  were  found  at 
most  stations  during  all  cruises  (Fig.  7),  although 
they  were  rare  seaward  of  50  km  in  July.  Megalo- 
pae were  present  in  71.4%  of  the  Manta  net  day- 
time tows  and  93.8%  of  the  nighttime  tows,  and  in 
90.9%  and  98.9%  of  the  day  and  night  neuston 
trawl  collections,  respectively.  All  twilight  hauls 
captured  megalopae. 

Despite  the  higher  frequency  of  occurrence  of 
megalopae  in  the  neuston  trawl,  the  Manta  net 
was  a  more  accurate  estimator  of  their  abun- 
dance. For  58  pairs  of  nighttime  catches  with  den- 
sities under  2,000/1,000  m-^,  the  Manta  net  caught 
approximately  3  times  as  many  megalopae  per  m^ 
as  the  neuston  trawl.  The  4.8  mm  mesh  of  the 
neuston  trawl  apparently  enabled  some  megalo- 
pae to  pass  through  the  mesh,  and  some  escape- 
ment was  observed  while  the  trawl  was  sitting  on 
deck  after  retrieval.  More  similar  estimates  be- 
tween the  nets  were  obtained  when  higher  densi- 
ties of  megalopae  were  sampled,  probably  because 
of  clumping  of  the  large  (11  mm  total  length) 
spiny  megalopae  into  large  masses  which  clogged 
the  mesh. 

In  general,  densities  of  megalopae  caught  by 


309 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


D —  D    Day 

A 

1.000 

6  April 

X                      A 

100 
10 

1 

0- 

/ 

O-D          / 

H 1 1 ffl 1 

\ 

\ 
\ 

1 1 El 

1.000 


100 


10  ■ 


A A  Night 

8-10  June 

1 
\ 

t  >\    r 


1  - 
0 


\ 


< 1 1 E — ffl- 


-ffl- 


-E- 


-m 


1.000  •■ 


16-17  April 


1.000  ■• 


100D 


1.000- 

8-9  July 

/ 

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— 1 

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A     18-19  May 


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100- 


10 


0      5     10    15    20  30  40 


50 


1  ■• 
0 


23-24  July 
A— i 


H 1- 


0      5     10    15    20  30  40 


Distance  From  Shore  (km) 


50 


Figure  7.— Daytime  and  nighttime  densities  of  megalopae  collected  by  the  Manta  net.  Rough  weather  prevented  the  use  of  the 
Manta  net  during  the  day  of  19  May;  neuston  trawl  data  for  this  portion  of  the  cruise  are  presented.  Circled  letters  refer  to  events 
discussed  in  the  text. 


310 


SHENKER;  OCEANOGRAPHIC  ASSOCIATION  OF  NEUSTONIC  MEROPLANKTON 


the  Manta  net  in  the  daytime  were  lower  than  at 
night  for  each  station  (Fig.  7).  The  differences 
between  day  and  night  were  particularly  appar- 
ent on  bright  sunny  days  and  at  the  offshore  sta- 
tions. Only  one  of  13  samples  of  megalopae  col- 
lected when  light  intensity  exceeded  4,000  lux 
had  a  density  over  200/1,000  m^,  while  12  of  24 
day  samples  collected  at  lower  light  levels  ex- 
ceeded this  density.  Highest  daytime  densities 
(1,600-2,400/1,000  m^  in  neuston  trawl  samples) 
were  observed  on  19  May  when  a  sudden  shift  in 
weather  before  daybreak  resulted  in  very  dark, 
overcast  and  rainy  skies,  with  40-45  km/hour 
winds  and  2-3  m  breaking  waves. 

Water  clarity  may  also  affect  the  daytime 
abundance  estimates  of  megalopae  in  the  neuston 
along  the  transect.  Daytime  densities  were  al- 
ways low  seaward  of  30  km  where  Secchi  depths 
exceeded  9  m,  while  higher  densities  were  ob- 
served in  the  more  turbid  near-coastal  waters 
with  Secchi  depths  of  4-9  m. 

The  27-h  occupancy  of  the  50  km  station  on  8-9 
June  provided  additional  evidence  of  a  distinct 
diel  pattern  in  utilization  of  the  neustonic  habitat 
by  megalopae  (Fig.  8).  Abundance  of  megalopae 
peaked  during  the  twilight  periods  of  dawn  and 
dusk.  A  significant  decrease  in  abundance  was 
noted  in  the  middle  of  the  night,  while  midday 
samples  did  not  collect  any  megalopae. 

In  addition  to  the  wide  distribution  of  megalo- 
pae along  the  transect,  sampling  occasionally  de- 
tected the  aggregation  of  very  large  numbers  of 
megalopae  (denoted  by  letters  over  station  blocks 


n 


1,000 


o 
o 
o 


0) 
D 

a. 
o 

o 

0) 


0) 

E 


100 -- 


10 


o o  Manta  Net 

• •  Neuston         // 

Trawl  // 

I 
// 


1  -: . 

0  I  '  '  f^m^^^^^m=^  I  i  I  .  ii  I  T-rr  '•'  i 

18:00       24:00        06:00        12:00        18:00 

Time  of  Day 

Figure  8. — Density  of  megalopae  collected  by  h)oth  nets  during 
a  27  h  sampling  p>eriod  50  km  ofTshore  on  8-9  June. 


in  Figure  7).  These  aggregations  were  typically 
associated  with  hydrodynamic  or  biological  struc- 
tures in  the  surface  layer. 

Event  A:  Simultaneous  tows  with  the  Manta 
net  and  neuston  trawl  caught  megalopae  in  densi- 
ties of  373  and  325/1,000  m^.  The  neuston  trawl 
was  then  redeployed  and  towed  along  a  foam  line 
marking  a  surface  convergence.  An  estimated 
60,000  megalopae  were  collected  from  the  conver- 
gence zone  (24,000/1,000  m^). 

Event  B:  A  series  of  five  consecutive  tows 
with  the  trawl  net  was  made.  Each  tow  covered  a 
linear  distance  of  approximately  1  km  in  a  west- 
ward direction,  with  an  estimated  distance  of  300 
m  between  tows.  Megalopae  were  very  sparse  in 
the  simultaneous  Manta  and  trawl  tows  at  the 
beginning  of  the  series,  with  densities  of  0  and 
1.9/1,000  m"^,  respectively.  The  subsequent  neu- 
ston trawl  tows  produced  density  estimates  of  79, 
3,555,  2,414  and  187/1,000  m^.  Apparently,  the 
megalopae  were  aggregated  over  an  area  extend- 
ing at  least  5  km  in  the  east-west  direction. 

Event  C:  Following  a  period  of  southwest 
winds,  a  large  raft  of  Velella  velella  was  found 
around  the  inshore  station.  Velella  velella  were 
generally  found  at  offshore  stations  but  at  densi- 
ties far  lower  than  the  36  kg/1,000  m^  level  taken 
here.  Although  the  overall  extent  of  the  raft  could 
not  be  determined  at  night,  the  density  of  megalo- 
pae was  estimated  by  both  nets  at  21,500/1,000 

Event  D:  The  density  of  megalopae  sampled 
by  the  Manta  net  was  790/1,000  m^,  while  a 
simultaneous  neuston  trawl  tow  along  a  conver- 
gence zone  only  30  m  away  collected  150,000 
megalopae  (46,400/1,000  m^). 

Census  estimates  of  megalopal  abundance  were 
computed  from  nighttime  samples  for  each  date 
(Fig.  9).  A  modification  of  Smith's  regional  census 
estimate  (1972)  was  used  to  compute  the  total 
number  of  megalopae  occurring  in  a  1  m 
wide  X  1  m  deep  track  along  the  surface  from  the 
coast  to  55  km  offshore: 


S  (^A) 


j=i 


where  C^  =  estimate  of  abundance  of  megalopae 
per  meter  of  coastline  during  cruise 
k 
Aj  =  volume  of  water  in  the  track  sur- 
rounding station  i,  computed  from 


311 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


10' 


0) 

o 

Q. 

_o 
a 

0) 


0) 

E 

3 


10 


4  .. 


-O 


O 
O  Transect  Census 
•  Convergence  Zones 


10- 

4/6   4/16  5/5   5/18  6/10  6/20  7/8   7/23 

Sampling  Date 

Figure  9. — Census  estimates  of  Dungeness  crab  megalopae  at 
night  from  Manta  net  samples  for  each  cruise  in  a  1  m  wide  x  1 
m  deep  track  extending  from  the  coast  to  55  km  offshore  (30-95 
km  offshore  on  7/8).  Single  samples  from  convergence  zones 
sampled  with  the  neuston  trawl  contained  more  megalopae 
than  the  entire  census  estimates  for  the  respective  cruises. 


the  midpoints  of  the  distances  be- 
tween the  adjacent  stations 
Z),  =  density  of  megalopae  at  station  i. 

Although  census  estimates  varied  between 
cruises  from  approximately  4,000-78,000,  these 
estimates  ignored  the  concentrations  of  megalo- 
pae in  convergence  zones  or  other  aggregations 
that  were  sampled  by  the  neuston  trawl.  The  con- 
vergences alone  contained  5-15  times  more 
megalopae  than  the  entire  census  estimates  for 
their  respective  cruises. 

DISCUSSION 

The  neustonic  habitat  off  Oregon  is  a  dynamic 
environment  that  supports  an  abundant  and  di- 
verse fauna  including  Dungeness  crab  larvae  and 
numerous  fish  species.  The  large  mouth  size  of 
the  neuston  trawl  and  minimal  disturbance  from 
the  vessel  probably  contributed  to  larger  catches 
of  surface-dwelling  ichthyofauna  than  have  been 
made  in  previous  studies  in  the  same  region 
(Boehlert  et  al.  1985). 

Several  species  of  neustonic  organisms  were  as- 
sociated with  specific  oceanographic  features 
such  as  convergence  zones  and  water  masses  like 
the  Columbia  River  plume.  These  aggregations  of 
Dungeness  crab  megalopae  and  several  fish  spe- 
cies accounted  for  the  major  portion  of  the  total 
catch  of  each  taxon.  Recent  studies  by  Shanks 
(1983,  1985)  and  Kingsford  and  Choat  (1985, 
1986)  further  emphasize  the  importance  of  aggre- 
gation of  neustonic  organisms  in  oceanic  conver- 


gences, surface  slicks,  and  around  floating  ob- 
jects. This  information  clearly  demonstrates  that 
randomized  or  grid  sampling  plans  will  often  fail 
to  detect  micro-  or  meso-scale  features  of  the 
environment.  Surveys  may  thus  severely  under- 
estimate the  abundance  of  species,  and  impor- 
tant data  on  ecological  characteristics  such  as 
predator-prey  interactions  may  not  be  obtained. 
This  is  particularly  important  in  understanding 
the  role  of  spatial  co-occurrence  of  patches  of  lar- 
val fishes  and  their  prey  on  larval  survival  and 
growth  (Lasker  1975,  1981;  Grover  and  011a 
1986). 

Diel  patterns  in  abundance  were  striking.  Most 
of  the  neustonic  organisms  were  collected  at 
night,  and  their  absence  from  daytime  collections 
may  be  attributed  to  vertical  migration  out  of  the 
surface  layer  or  to  visual  avoidance  of  the  nets. 
The  fact  that  very  few  larval  or  juvenile  sablefish 
and  greenlings  were  collected  in  subsurface  sam- 
ples in  earlier  studies  (e.g.,  Richardson  and 
Pearcy  1977;  Richardson  et  al.  1980;  Kendall  and 
Clark  1982a;  Clark  1984),  suggests  that  these 
fishes  are  obligate  inhabitants  of  the  neuston, 
and  their  low  abundance  in  daytime  hauls  indi- 
cates substantial  visual  avoidance  of  the  nets. 

Conversely,  other  species  may  be  facultative 
neuston  that  undergo  diel  migrations  into  the 
surface  layer  (Hempel  and  Weikert  1972),  where 
they  can  most  easily  be  assessed.  Dungeness  crab 
megalopae,  in  particular,  disperse  to  at  least  50  m 
during  the  day,  but  concentrate  at  the  surface  at 
dawn  and  dusk  (Booth  et  al.  1985).  Still  other 
species  (the  pseudoneuston)  may  have  depth 
ranges  that  overlap  with  the  surface  layer. 

Previous  studies  on  northwest  ichthyoplankton 
have  defined  basic  coastal,  transitional,  and  off- 
shore assemblages  of  species  during  different  sea- 
sons (Richardson  and  Pearcy  1977;  Richardson  et 
al.  1980;  Kendall  and  Clark  1984a,  b;  Clark 
1984).  In  general,  the  transitional  region  roughly 
parallels  the  shelf  break  (approximately  30-40 
km  offshore  in  the  vicinity  of  Newport,  OR). 
Richardson  et  al.  (1980)  ascribed  the  consistency 
of  these  zonal  assemblages  to  the  spawning  habits 
of  adults  and  larval  transport  in  the  alongshore 
coastal  circulation.  According  to  Parrish  et  al. 
(1981),  the  spatial  and  temporal  patterns  of 
spawning,  and  durations  of  pelagic  larval  stages 
of  these  species,  should  correspond  with  the  sur- 
face drift  patterns  of  the  region  to  minimize  lar- 
val advection  out  of  suitable  habitats.  In  the 
Pacific  Northwest,  species  with  larvae  adapted  to 
the    nearshore    zone    should    spawn    from    fall 


312 


SHENKER:  OCEANOGRAPHIC  ASSOCIATION  OF  NEUSTONIC  MEROPLANKTON 


through  early  spring  when  net  surface  drift  is 
primarily  northward  and  onshore.  Oceanic  lar- 
vae, however,  should  be  spawned  following  the 
spring-summer  transition  when  upwelling  re- 
sults in  southward  and  offshore  transport. 

The  onshore/offshore  distributions  of  several 
abundant  fish  species  in  1984  were  similar  to 
those  described  earlier,  and  their  seasonal  occur- 
rence usually  coincided  with  the  constraints  dis- 
cussed by  Parrish  et  al.  ( 1981).  However,  four  spe- 
cies had  distributions  that  crossed  the  previously 
described  zonal  boundaries  (Fig.  10).  Early 
cabezon  larvae  appeared  to  disperse  offshore  as 
they  grew.  In  contrast,  early  juvenile  brown  Irish 
lords  were  collected  offshore  in  the  early  spring, 
while  the  larger  juveniles  spread  inshore  across 
all  stations.  Larval  greenlings  have  only  been  col- 
lected close  to  the  coast  in  late  fall  (Bates  1984), 
while  the  juveniles  collected  in  this  study  were 
found  at  all  stations  prior  to  upwelling.  Juvenile 
ronquils  were  also  distributed  along  the  transect, 
during  both  non-upwelling  and  upwelling  condi- 
tions. 

The  dispersion  of  organisms  across  the  transi- 
tion zone  may  have  been  accomplished  by  several 


mechanisms.  Physical  transport  of  the  organisms 
by  mesoscale  hydrographic  events  (e.g.,  eddies, 
offshore  jets,  and  meanders  in  the  alongshore  cur- 
rents) (Ikeda  and  Emery  1984;  Mooers  and 
Robinson  1984;  Abbott  and  Zion  1985;  Davis 
1985)  undoubtedly  play  important  roles  in  the 
onshore/offshore  dispersal  of  planktonic  organ- 
isms. Transport  with  these  events  may  be  acceler- 
ated or  hindered  by  diel  vertical  migration  into 
water  layers  with  different  zonal  flow  patterns. 
Additionally,  several  species  (especially  green- 
ling  and  sablefish)  are  rapid  swimmers  whose  mo- 
bility can  contribute  to  their  dispersal  or  aggrega- 
tion. 

The  rapid  change  in  the  composition  of  the 
ichthyoplankton  fauna  following  the  onset  of  up- 
welling has  not  been  previously  observed.  Fishes 
abundant  prior  to  upwelling  may  respond  to  the 
change  in  the  environment  in  different  ways.  The 
disappearance  of  greenling  and  brown  Irish  lord 
juveniles  suggests  upwelling  triggered  settle- 
ment of  these  fishes  to  the  demersal  habitat  uti- 
lized by  older  juveniles  and  adults.  A  possible 
stimulus  for  this  transition  is  the  breakdown  of 
the  thermocline,  which  has  been  identified  as  a 


1                   ' 
90           8*0             70             60 

UPWELLING 

1                 1                 1                  1 
PRE-UPWELLING 

V." 

45° 

nn' 

Sablefish     1 

10-20  nnm 

20-30  mm  Brown  Irish  Lord 

S 

(vy: 

Greenlinq 

p-. 

/■■'■■ 

4-6 

mm 

1  - 

^[Vaquina 

A^y  BAY 

& 

:■     1 

6-10  mm  Cabezon 

English  Sole 

•           •           •           •     •      • 

50            40            30            20    15      10 
km 

• 

5 

/ 

4  4" 

_               Rockfish  SDD. 

3  0' 

1                      1                      1                       1 

Blue  Lanternfish 

Northern  Anchovy 

1 

125° 
00' 


124° 
30' 


124° 
00' 


Figure  10. — Summary  of  the  zonal  distributions  of  larval  and  juvenile  neustonic  fishes  in 
the  pre-  and  early  upwelling  period  (April  through  mid-June)  and  the  strong  upwelling 
period  (July). 


313 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


barrier  to  settlement  to  neustonic  juvenile  red 
hake,  Urophycis  chuss,  (Steiner  et  al.  1982; 
Steiner  and  011a  1985). 

In  contrast,  juvenile  sablefish  apparently  re- 
main in  the  water  column  off  Oregon  following 
the  transition  to  upwelling  conditions.  Small  ju- 
veniles (<50  mm)  have  been  captured  as  far  as 
250  km  offshore  in  the  spring  (Kendall  and  Clark 
1982a),  and  specimens  up  to  250  mm  have  been 
collected  from  the  surface  waters  in  late  summer 
with  a  purse  seine  (Brodeur  and  Pearcy  1986). 
The  very  rapid  growth  rates  of  young  juveniles, 
reaching  2  mm/day  (Boehlert  and  Yoklavich 
1985;  Shenker  and  011a  1986),  undoubtedly  re- 
sulted in  their  increasing  ability  to  avoid  the 
towed  neuston  nets  used  in  this  study. 

The  most  abundant  larvae  occurring  after  the 
onset  of  upwelling  were  northern  anchovy  and 
rockfish.  As  observed  in  previous  studies 
(Richardson  1973,  1980;  Richardson  et  al.  1980), 
these  larvae  were  primarily  found  offshore.  The 
occurrence  of  these  species,  along  with  a  high 
abundance  of  vertically  migrating  blue  lantern- 
fish,  on  the  periphery  of  the  Columbia  River 
plume  60-90  km  offshore  on  only  one  cruise,  fur- 
ther illustrates  the  patchy  nature  of  neustonic 
distributions. 

Although  the  fish  fauna  in  1984  was  generally 
characterized  by  discrete  temporal  and/or  spatial 
limitations,  the  occurrence  of  Dungeness  crab 
megalopae  transcended  these  limits  through  the 
4-mo  study.  Megalopae  were  the  most  abundant 
organisms  collected  throughout  the  survey,  but 
their  abundance  varied  widely  between  adjacent 
stations,  with  occasional  very  dense  patches.  Sim- 
ilar patchy  distributions  of  megalopae  were  ob- 
served off  British  Columbia  by  Booth  et  al.  (1985), 
who  measured  horizontal  patch  dimensions  of 
2-4  km.  Several  dense  swarms  of  megalopae  were 
observed  in  Bodega  Bay,  CA,  during  1985 
(Shenker  and  Botsford^).  These  patches  were 
long,  sinuous  aggregations  extending  10-20  m 
along  the  surface,  approximately  circular  in  cross 
section  and  about  1  m  in  diameter.  Densities  were 
visually  estimated  to  be  on  the  order  of  thousands 
of  megalopae  per  m^. 

The  temporal  occcurrence  of  crab  larvae  in  the 
plankton  spans  two  distinctly  different  oceanic 
regimes,  and  the  larvae  are  potentially  trans- 
ported long  distances  by  the  seasonal  currents. 


^Shenker,  J.  M.,  and  L.  W.  Botsford,  University  of  California, 
Bodega  Marine  Laboratory,  P.O.  Box  247,  Bodega  Bay,  CA 
94923,  unpubl.  data. 


Larvae  typically  hatch  in  mid-winter,  pass 
through  5  zoeal  stages  in  approximately  90  days, 
and  then  a  month-long  megalops  stage  before  set- 
tling to  the  bottom  (Reilly  1983a).  After  hatching, 
zoeae  are  released  into  the  northerly  flowing 
Davidson  Current.  Despite  a  general  onshore 
component  of  flow  of  the  Davidson  Current,  older 
zoeal  stages  have  been  found  progressively  far- 
ther offshore  (Lough  1976;  Reilly  1983a). 

About  the  time  of  the  spring  transition  in  the 
alongshore  currents  from  a  northerly  to  southerly 
direction  (Huyer  et  al.  1975),  zoeae  metamor- 
phose into  megalopae.  To  survive,  these  megalo- 
pae must  be  transported  back  toward  the  shore, 
and  settle  to  the  bottom  in  depths  shallower  than 
25  m  (Reilly  1983b).  Larvae  have  been  found  at 
least  100  km  from  shore  (Lough  1976),  although 
it  is  unclear  if  these  larvae  make  it  back  to  shore, 
or  are  simply  lost  from  the  population. 

Again,  an  apparent  anomaly  exists  between  the 
directions  of  movement  of  megalopae  and  surface 
waters,  where  the  Ekman  layer  moves  offshore  in 
response  to  upwelling  winds.  These  discrepancies 
may  be  explained  by  mesoscale  mixing  processes, 
as  cited  earlier.  Alternatively,  the  diel  vertical 
movements  of  the  larvae  can  move  them  into  dif- 
ferent water  masses  with  different  directions  of 
zonal  movement. 

The  data  from  this  study  and  previous  research 
on  vertical  migration  indicate  that  at  least  the 
early  zoeal  stages  and  megalopae  move  to  the  sur- 
face during  twilight,  and  below  the  surface  dur- 
ing the  day  (Reilly  1983a).  Surface  abundance 
estimates  of  megalopae  obtained  in  the  27-h  sam- 
pling on  8-9  June  (Fig.  8),  and  by  Booth  et  al. 
(1985),  decreased  during  the  middle  of  the  night. 
This  movement  away  from  the  surface  is  an  ex- 
ample of  "midnight  scattering",  perhaps  result- 
ing from  the  lack  of  a  light  cue  to  orient  plank- 
tonic  organisms  to  the  surface  (Owen  1981).  If 
midnight  scattering  is  typical  for  megalopae, 
abundance  estimates  made  by  sampling  along  a 
transect  throughout  the  night  (Figs.  7,  9)  proba- 
bly underestimate  the  actual  abundance  of  mega- 
lopae utilizing  the  surface  habitat.  Megalopae 
have  been  collected  as  deep  as  50-70  m  during 
the  day  (Booth  et  al.  1985;  Shenker  and  Botsford 
fn.  6).  These  observations  correlate  with  Jacoby's 
(1982)  laboratory  demonstration  that  megalopae 
are  positively  phototactic  to  dim  light,  but  avoid 
bright  light. 

The  present  study  indicates  that  the  phototac- 
tic response  of  megalopae  may  assist  their  return 
to  shore  in  several  ways.  Downward  movement 


314 


SHENKER:  OCEANOGRAPHIC  ASSOCIATION  OF  NEUSTONIC  MEROPLANKTON 


during  sunny  days,  when  upwelling  wind  stress 
and  offshore  Ekman  transport  is  generally 
strongest,  can  move  the  larvae  into  the  slow  on- 
shore flow  below  the  surface  Ekman  layer  (Peter- 
son et  al.  1979).  In  contrast  to  the  usual  northerly 
upwelling  winds,  occasional  storms  blow  from  the 
southwest,  driving  the  surface  layer  onshore.  The 
occurrence  of  megalopae  at  the  surface  during  the 
day  was  most  pronounced  on  these  dark  stormy 
days  (especially  on  the  second  May  cruise),  and 
thus  may  facilitate  their  onshore  transport. 

Observations  of  megalopae  entering  into  em- 
bayments  and  nearshore  areas  from  Washington 
to  northern  California  in  1984  and  1985  indicated 
a  dramatic  increase  in  the  abundance  of  megalo- 
pae and  an  extended  seasonal  occurrence  in  the 
plankton,  as  compared  to  previous  years  (Shenker 
and  Botsford  fn.  6;  Armstrong^).  This  high  abun- 
dance of  crab  larvae  may  presage  an  upswing  in 
the  cyclical  crab  fishery  along  these  coasts. 

Numerous  mechanisms  have  been  proposed  as 
causes  of  the  10-yr  cycles  in  crab  abundance.  Al- 
though some  hypotheses  have  been  discounted, 
several  models  have  survived  scrutiny  as  possible 
causes  of  the  cycles  (see  Botsford  1986  for  review). 
Potential  mechanisms  of  environmental  forcing 
of  the  cycles  focus  on  larval  transport  and  sur- 
vival. Johnson  et  al.  (1986)  detected  periodic  10- 
yr  cycles  in  the  occurrence  and  strength  of  south- 
ward stress  during  the  late  larval  period  that 
significantly  correlated  with  commercial  crab 
catch  4  and  5  years  later.  This  lag  corresponds  to 
the  time  between  larval  settlement  and  growth 
into  the  adult  fishery  (Botsford  1984). 

Model  simulations  by  Botsford  (1986)  indicated 
that  nonlinear  effects  of  wind  on  larval  transport 
can  produce  the  cyclical  swings  in  crab  abun- 
dance. However,  the  models  do  not  preclude  the 
possibility  that  density-dependent  phenomena 
(such  as  cannibalism  by  adult  crabs  on  newly  set- 
tled juveniles,  and  predation  by  nemertean 
worms  on  egg  masses)  may  act  in  concert  with  the 
environmental  forcing  to  produce  the  observed 
cycles. 

The  water's  surface  is  the  only  oceanic  habitat 
that  is  easily  accessible  to  observation  using  tech- 
niques ranging  from  satellite  and  aerial  scanning 
to  shipboard  visual  sighting  of  targets  and  contin- 
uous monitoring  of  environmental  parameters. 
Because  of  this  accessibility,  micro-  and  meso- 
scale  patterns  in  distribution  of  neustonic  taxa 


'^D.  A.  Armstrong,  School  of  Fisheries,  WH-10,  University  of 
Washington,  Seattle,  WA  98195,  pers.  commun.  October  1984. 


and  their  associations  with  hydrographic  and  bio- 
logical characteristics  of  the  surface  zone  can  be 
determined  more  easily  than  in  other  environ- 
ments. The  neustonic  realm  thus  offers  an  excel- 
lent opportunity  to  investigate  the  mechanisms  of 
transport  of  the  early  stages  into  appropriate 
nursery  habitats,  and  the  availability  of  food  for 
growth  that  are  required  for  successful  recruit- 
ment into  adult  stocks  (Hjort  1914;  Lasker  1975, 
1981;  Frank  and  Leggett  1982;  Sinclair  et  al. 
1984). 

ACKNOWLEDGMENTS 

This  research  was  supported  by  the  Northwest 
and  Alaska  Fisheries  Center  of  the  National 
Marine  Fisheries  Service.  1  thank  Captain  Leland 
Oldenberg  and  his  crew  on  the  FV  Cumberland 
Trail,  and  my  colleagues  R.  Brodeur,  A.  Chung, 
J.  Fisher,  J.  Hennessey,  L.  Krasnow,  B.  Mundy, 
C.  Paczkowski,  and  E.  Rexstad  for  their  assis- 
tance on  the  sampling  cruises.  W.  Laroche  helped 
identify  juvenile  Sebastes.  W.  G.  Pearcy  provided 
valuable  advise  on  the  design  and  operation  of 
this  project,  and  comments  on  the  manuscript. 
Helpful  suggestions  on  this  paper  were  also  given 
by  R.  Brodeur,  A.  W.  Kendall,  and  two  anony- 
mous referees. 

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1983a.     Dynamics  of  Dungeness  crab.  Cancer  magister. 


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larvae  off  central  and  northern  California.  In  P.  W. 
Wild  and  R.  N.  Tasto  (editors!,  Life  history,  environment, 
and  mariculture  studies  of  the  Dungeness  crab.  Cancer 
magister .  with  emphasis  on  the  central  California  fish- 
ery, p.  57-85.     Calif  Dep.  Fish  game,  Fish  Bull.  172. 

1983b.  Predation  on  Dungeness  crabs,  Cancer  magister, 
in  central  California.  In  P.  W.  Wild  and  R.  N.  Tasto 
(editors),  Life  history,  environment,  and  mariculture 
studies  of  the  Dungeness  crab.  Cancer  magister,  with 
emphasis  on  the  central  California  fishery,  p.  155- 
164.  Calif  Dep.  Fish.  Game,  Fish  Bull.  172. 
Richardson.  S  L. 

1973.  Abundance  and  distribution  of  larval  fishes  in  wa- 
ters off  Oregon,  May-October  1969,  with  special  empha- 
sis on  the  northern  anchovy,  Engraulis  mordax.  Fish. 
Bull.,  U.S.  71:697-711. 

1980.     Spawning  biomass  and  early  life  of  northern  an- 
chovy, Engraulis  mordax,  in  the  northern  subpopulation 
off  Oregon  and  Washington.     Fish.  Bull.,  U.S.  78:855- 
877. 
Richardson,  S  L  .  J  L  Laroche,  and  M.  D.  Richardson. 

1980.     Larval  fish  assemblages  and  associations  in  the 
northeast  Pacific  Ocean  along  the  Oregon  coast,  winter- 
spring,      1972-1975.     Estuarine     Coastal     Mar.     Sci. 
11:671-699. 
Richardson,  S  L  ,  and  W  G  Pearcy. 

1977.     Coastal  and  oceanic  fish  larvae  in  an  area  of  up- 
welling  off  Yaquina   Bay,   Oregon.     Fish.    Bull.,   U.S. 
75:125-146. 
Shanks,  A  L 

1983.     Surface  slicks  associated  with  tidally  forced  inter- 


nal waves  may  transport  pelagic  larvae  of  benthic  inver- 
tebrates and  fishes  shoreward.  Mar.  Ecol.  Prog.  Ser. 
13:311-315. 

1985.  Behavioural  basis  of  intemal-wave-induced  shore- 
ward transport  of  megalopae  of  the  crab  Pachygrapsus 
crassipes.     Mar.  Ecol.  Prog.  Ser.  24:289-295. 

Shenker,  J.  M  .  AND  B  L  Olla. 

1986.  Laboratory  feeding  and  growth  of  juvenile 
sablefish,  Anoplopoma  fimbria.  Can.  J.  Fish.  Aquat. 
Sci.  43:930-937. 

Sinclair,  M.  F..  M.  J.  Tremblay,  and  P.  Bernal. 

1984.  El  Nino  events  and  variability  in  a  Pacific  mackerel 
{Scomber  japonicus )  survival  index:  supj)ort  for  Hjort's 
second  hypothesis.  Can.  J.  Fish.  Aquat.  Sci.  42:602- 
608. 

Small.  L.  F  .  and  D  W  Menzies. 

1981.  Patterns  of  primary  productivity  and  biomass  in  a 
coastal  upwelling  region.     Deep-Sea  Res.  28:123-149. 

Smith,  P  E 

1972.     The  increase  in  spawning  biomass  of  northern  an- 
chovy, Engraulis  mordax.     Fish.  Bull.,  U.S.  70:849-874. 
Steiner,  W  W.,  J.  J.  LuzcKovicH.  and  B  L.  Olla. 

1982.  Activity,  shelter  usage,  growth  and  recruitment  of 
juvenile  red  hake,  Urophycis  chuss.  Mar.  Ecol.  Prog. 
Ser  7:125-135. 

Steiner,  W  W.,  and  B  L  Olla 

1985.  Behavioral  responses  of  prejuvenile  red  hake,  Uro- 
phycis chuss,  to  experimental  thermoclines.  Environ. 
Biol.  Fish  14:167-173. 


317 


WINTER-TIME  DISTRIBUTION  AND  ABUNDANCE  OF  COPEPOD 
NAUPLII  IN  THE  NORTHERN  GULF  OF  MEXICO 

M  J  Dagg^,  P  B  Ortner2,  and  F.  Al-Yamani^ 


ABSTRACT 

Copepod  nauplii  were  collected  from  continental  shelf  waters  in  3  regions  of  the  northern  Gulf  of 
Mexico  during  winters  between  1981  and  1984,  off  Cape  San  Bias,  Florida,  off  the  Mississippi  River 
delta,  and  off  of  Galveston,  Texas.  Some  statistically  significant  iP  <  0.05)  patterns  in  the  abundance 
and  distribution  of  nauplii  were  observed:  there  was  significant  interannual  variability  in  naupliar 
concentrations  within  the  region  around  the  Mississippi  River  delta;  naupliar  concentrations  in  the 
upper  10  m  decreased  in  the  onshore-offshore  direction  in  2  of  4  comparisons;  naupliar  concentrations 
in  the  upper  10  m  differed  regionally  in  2  of  3  comparisons;  and  naupliar  concentration  was  correlated 
with  chlorophyll  concentration  in  4  of  5  comparisons. 

Maximum  concentrations  of  nauplii  (number  per  m^)  within  a  water  column  were  2-10  times 
greater  at  stations  influenced  by  the  Mississippi  River  plumes  than  in  the  other  2  regions.  This 
condition  in  attributed  to  vertical  stratification  imparted  to  the  water  column  by  the  inflowing  low 
salinity  water  from  the  Mississippi  River.  We  conclude  that  the  physical  stratification  provides  a 
mechanism  for  the  establishment  of  high  concentrations  of  nauplii  that  otherwise  would  not  exist  in 
the  winter  months  on  the  continental  shelf. 


Microzooplankton  are  important  diet  items  for 
larval  fish  (Arthur  1976;  Gamble  et  al.  1981; 
Checkley  1982;  Govoni  et  al.  1983;  Houde  and 
Lovdal  1984;  Stoecker  and  Govoni  1984),  and  gut 
analyses  indicate  that  copepod  nauplii  are  fre- 
quently the  dominant  prey  form  found  in  the  lar- 
vae of  many  fish  species  (Duka  and  Gordina 
1973).  Available  concentrations  of  micro- 
zooplankton are  considered  an  important  deter- 
minant of  larval  survival  rates  in  the  ocean  be- 
cause this  relationship  has  been  demonstrated  in 
the  laboratory  (Laurence  1974;  Houde  1978)  and 
because  field  studies  have  demonstrated  a  rela- 
tionship between  regions  or  periods  of  high  mi- 
croplankton  and  high  larval  abundance  (Arthur 
1977;  Lasker  1978).  Because  survival  is  enhanced 
by  increased  food  availability,  oceanographic 
processes  that  result  in  increased  concentration 
or  production  of  prey  items  are  important. 

The  gulf  menhaden,  Brevoortia  patronus  (Clu- 
peiformes),  supports  the  largest  volume  fishery  in 
the  United  States  (U.S.  Department  of  Commerce 
1983).  Spawning  occurs  in  the  wintertime,  from 
October  to  March,  in  continental  shelf  waters  of 
the  northern  Gulf  of  Mexcio  (Fore  1970;  Lewis 
and  Rothmayr  1981;  Warlen  1988),  primarily  off 


iLouisiana  Universities  Marine  Consortium,  Chauvin,  LA 
70344. 

^Applied  Oceanic  Marine  Laboratory,  Ocean  Coastal  Divi- 
sion, NOAA,  4301  Rickenbacker  Causeway,  Miami,  FL  33149. 


of  Mississippi  and  Alabama  to  the  east  of  the  Mis- 
sissippi River  delta,  and  ofi"  of  Louisiana  to  the 
west  of  the  delta.  During  February  and  December 
1982,  concentrations  of  menhaden  larvae  in  the 
region  near  the  Mississippi  River  delta  were 
greater  in  plume  waters  than  outside  and  were 
much  higher  at  the  plume  front  (Govoni  and 
Hoss"^).  Furthermore,  gut  contents  of  these  larvae 
indicated  that  nauplii  were  the  most  abundant 
prey  items. 

Much  of  the  continental  shelf  water  of  the 
northern  and  western  Gulf  of  Mexico  is  vertically 
unstratified  during  the  winter,  and  winter  is  also 
the  season  of  minimum  primary  productivity  in 
these  regions,  as  it  is  in  shelf  waters  of  the  north- 
east and  southeast  United  States.  However, 
coastal  waters  and  nearshore  regions  influenced 
by  freshwater  inputs  can  be  physically  stratified 
during  winter  when  low  salinity  plumes  disperse 
over  higher  salinity  shelf  waters.  We  postulated 
that  shelf  waters  influenced  by  fresh  water  from 
the  Mississippi  River  plumes  would  be  regions  of 
increased  production  and  concentration  of  micro- 
zooplankton. The  purpose  of  this  paper  is  to  exam- 
ine this  hypothesis  by  describing  the  vertical  and 
horizontal  distribution  and  abundance  of  copepod 
nauplii  in  shelf  waters  of  the  northern  Gulf  of 


Manuscript  accepted  December  1987. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1987. 


^Govoni  and  Hoss.  Unpubl  data.  Southeast  Fisheries  Center 
Beaufort  Laboratory,  National  Marine  Fisheries  Service, 
NOAA,  Beaufort,  NC  28516. 


319 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Mexico  and  by  comparing  these  with  oceano- 
graphic  and  hydrographic  indicators  of  water 
column  stratification  and  productivity. 

METHODS 

Samples  were  collected  during  5  winter  cruises 
between  November  and  March,  during  1981-84, 
(Table  1).  Microplankton  samples  and  hydro- 
graphic  data  were  collected  from  3  general  re- 
gions of  the  northern  Gulf  of  Mexico:  off  of  Galve- 
ston, TX,  in  the  region  of  the  Mississippi  River 
delta,  and  off  of  Cape  San  Bias,  FL  (Fig.  1).  Sam- 
ples were  not  collected  from  all  3  regions  on  each 
cruise. 

Water  samples  for  chlorophyll  and  nutrient 
analyses  were  collected  with  Niskin  bottles.  For 
each  chlorophyll  analysis,  between  25  and  150 
mL  of  sea  water  was  filtered  onto  a  GF/F  or  GF/C 
glass  fiber  filter  and  homogenized  by  grinding  in 
90%  aqueous  acetone.  Fluorescence  of  the  filtrate, 
brought  up  to  a  volume  of  10.0  mL,  was  deter- 
mined before  and  after  acidification  with  2  drops 
of  10%  HCl  using  a  Turner  Designs''  Model  10 
fluorometer.  Chlorophyll  and  pheopigment  con- 
centrations as  chlorophyll  equivalents  were  de- 
termined from 


chlorophyll  (fxg/L)  = 


Table  1.— Station  information,  1981-84. 


Kifo- 

fa) 

V 

KiRfa 

-fo) 

pheopigment  (|JLg/L) 


where  K  is  the  machine  calibration  constant,  [„ 
and  fa  are  the  fluorescence  readings  before  and 
after  acidification,  R  is  the  acid  ratio,  and  u  is  the 
volume  of  seawater  filtered,  in  mL  (Strickland 
and  Parsons  1968). 

Samples  for  nutrient  analyses  were  frozen.  Ni- 
trate and  nitrite  were  analyzed  according  to 
method  number  353.2  described  by  EPA  publica- 
tion number  EPA  600/4-79-020  (Environmental 
Protection  Agency  1979). 

Temperature  and  salinity  were  measured  by 
several  methods.  During  cruise  I,  temperature 
was  measured  by  the  temperature  sensor  on  the 
MOCNESS^  net,  and  salinity  was  measured  with 
a  refractometer.  During  cruises  II  and  III,  tem- 
perature was  measured  with  expendable  bathy- 


Depth 

Lat. 

Long. 

Station 

Date 

Time 

(m) 

(N) 

(W) 

1-1 

2-13-81 

0000 

18 

29 '05' 

94°07' 

1-2 

2-13-81 

1200 

18 

2906' 

94' 07' 

1-3 

2-14-81 

0001 

90 

28  04' 

93"03' 

1-4 

2-14-81 

1200 

90 

28  04' 

93"03' 

1-5 

2-15-81 

0000 

180 

27' 54' 

92'^51 ' 

1-6 

2-15-81 

1200 

180 

25' 54' 

92'50' 

1-7 

2-16-81 

0001 

180 

28  34' 

89"37' 

1-8 

2-17-81 

1200 

180 

28  35' 

89  38' 

1-9 

2-18-81 

0001 

90 

2850' 

89  "16' 

1-10 

2-18-81 

1200 

90 

28  50' 

89  "16' 

1-11 

2-19-81 

0000 

18 

28^56' 

89'29' 

1-12 

2-19-81 

1200 

18 

28°56' 

89'^29' 

1-13 

2-20-81 

0000 

90 

29  09' 

85' 56' 

1-14 

2-21-81 

1200 

90 

29  08' 

85"56' 

1-15 

2-22-81 

0000 

180 

29°28' 

8607' 

1-16 

2-22-81 

1200 

180 

29°28' 

86°07' 

1-17 

2-23-81 

0001 

18 

29°36' 

85°47' 

1-18 

2-23-81 

1200 

18 

29^35' 

85  47' 

1-19 

2-24-81 

0001 

18 

30°12' 

87"06' 

11-1 

12-05-82 

0700 

25 

28°53' 

89' 29' 

11-2 

12-05-82 

1255 

62 

28°53' 

89^32' 

11-3 

12-05-82 

1945 

33 

28' 59' 

89°34' 

11-4 

12-06-82 

2120 

887 

28  20' 

89°27' 

11-5 

12-07-82 

0715 

885 

28°20' 

89'27' 

11-6 

12-07-82 

1220 

834 

28' 19' 

89  25' 

11-7 

12-08-82 

1820 

443 

28°32' 

89°53' 

11-8 

12-09-82 

0830 

402 

28°34' 

89°53' 

11-9 

12-09-82 

1215 

461 

28^32' 

89 '53' 

11-10 

12-13-82 

1245 

44 

29'26' 

85°53' 

11-11 

12-15-82 

1930 

19 

28°54' 

89°29' 

11-12 

12-16-82 

0900 

68 

28°51' 

89°32' 

III-1 

11-19-83 

1200 

27 

28°54' 

89°29' 

III-2 

11-20-83 

0800 

35 

28°47' 

89°59' 

III-3 

11-20-83 

1946 

732 

28°38' 

89°00' 

III-4 

11-21-83 

0555 

27 

28°54' 

89°30' 

III-5 

1 1 -22-83 

1100 

48 

28°51' 

89°30' 

III-6 

1 1 -23-83 

0500 

194 

28°31' 

89'=37' 

III-7 

1 1 -24-83 

1030 

50 

28=50' 

89°31' 

III-8 

11-25-83 

0820 

45 

28^55' 

89°34' 

III-9 

11-25-83 

1945 

40 

28°56' 

89°36' 

111-10 

11-26-83 

1200 

16 

28°54' 

89°29' 

111-11 

11-27-83 

0900 

9 

29'02' 

89°30' 

111-12 

11-28-83 

0840 

29 

28^48' 

89^57' 

111-13 

11-28-83 

1250 

44 

28°56' 

89°51' 

111-14 

11-29-83 

0950 

24 

29''03' 

89°39' 

111-15 

1 1 -30-83 

0930 

44 

28°47' 

89°58' 

111-16 

12-01-83 

0800 

38 

28°52' 

89°29' 

IV- 1 

3-14-83 

53 

27' 58' 

95°53' 

IV-2 

3-19-83 

59 

28=18' 

90^41 ' 

V-1 

2-21-84 

0850 

18 

28  54' 

90°25' 

V-2 

2-22-84 

0830 

18 

28' '54' 

90°25' 

V-3 

2-23-84 

0910 

18 

28°54' 

90°25' 

V-4 

3-1-84 

0835 

18 

28°54' 

90°25' 

V-5 

3-1-84 

0830 

18 

28^54' 

90°25' 

V-6 

3-3-84 

0730 

18 

28'54' 

90°25' 

'^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 

^Multiple  opening-closing  net  and  environmental  sensing 
system. 


thermographs  (Sippican  Instruments).  Salinity 
was  measured  with  a  YSI  Model  33-S-C-T  sali- 
nometer  on  cruise  II,  and  with  a  Beckman  Model 
RS5-3  salinometer  on  cruise  III.  For  both  of  these 
cruises,  bottle  samples,  analyzed  in  the  labora- 
tory with  a  Guildline  Model  8400A  Autosal,  were 
used  to  check  the  shipboard  salinity  measure- 


320 


DAGG  ET  AL.:  DISTRIBUTION  OF  COPEPOD  NAUPLII 


c 
o 


c 
o 


C/2 


ca 

D 
O 


321 


FISHERY  BULLETIN:  VOL,  86,  NO.  2 


ments.  On  cruise  IV,  a  Plessey  Model  9040  CTD 
was  used  for  both  temperature  and  salinity.  On 
cruise  V,  salinity  samples  were  stored  in  bottles 
and  analyzed  in  the  laboratory  using  a  Guildline 
Model  8400A  Autosal,  and  temperature  was 
measured  with  reversing  thermometers. 

Microzooplankton  were  collected  using  5  L 
(cruises  I,  II,  and  V)  or  30  L  (cruises  III  and  IV) 
Niskin  bottles.  During  cruise  I,  1  L  samples  of 
untreated  water  were  collected  from  3  depths  and 
preserved  for  later  analysis.  During  subsequent 
cruises,  samples  were  collected  from  up  to  8 
depths;  four  liters  were  poured  gently  through  a 
20  |xm  sieve,  backwashed  with  filtered  seawater 
into  a  sample  jar,  and  preserved  in  a  5%  formalin- 
seawater  solution.  In  the  laboratory,  all  organ- 
isms in  each  preserved  sample  were  identified 
and  counted.  In  selected  samples,  the  length  and 
width  of  the  first  50  copepod  nauplii  were  mea- 
sured using  an  ocular  micrometer.  In  addition, 
during  cruise  I  larger  nauplii  were  collected  with 
0.1  m^  64  |jLm  mesh  nets  nested  inside  the  1  m^ 
333  ^JLm  mesh  nets  of  a  MOCNESS  net  (Wiebe  et 
al.  1976).  Estimates  of  naupliar  abundance  from 
these  collections  were  used  separately  in  the 
analyses  for  patterns  in  distribution  and  abun- 
dance. Lastly,  from  cruise  I,  the  total  number  of 
copepods  in  the  shallow-water  samples,  total 
number  of  copepods  from  the  333  jxm  nets,  and  the 
zooplankton  displacement  volume  from  the  333 
(xm  nets  were  analyzed  for  patterns  in  distribu- 
tion and  abundance. 

RESULTS 

Samples  from  the  Mississippi  River  delta  re- 
gion, collected  during  1981  (cruise  I),  1982  (cruise 
II),  and  1983  (cruise  III),  were  compared  to  deter- 
mine if  there  was  significant  interannual  vari- 
ability within  a  region.  Whole  water  samples  and 
samples  retained  on  20  ixm  mesh  sieves  were 
pooled  for  this  analysis  under  the  assumption 
that  nauplii  in  a  whole  water  sample  would  be 
retained  on  a  20  jjim  mesh  screen.  The  64  [im  net 
samples  were  excluded  from  this  analysis.  This 
test  was  made  using  average  naupliar  concentra- 
tions in  the  upper  10  m  only;  naupliar  concentra- 
tions were  typically  lower  in  deeper  waters,  and 
we  did  not  have  the  same  number  of  deep  and 
shallow  stations  for  each  of  the  3  sampling  years. 
A  1-way  analysis  of  variance  indicated  significant 
variation  between  years  within  the  Mississippi 
River  delta  region  {P  <0.01).  All  3  years  were 
statistically  different.  These  results  indicated  to 


us  that  regional  or  other  spatial  comparisons  can 
only  be  made  using  samples  collected  during  the 
same  year.  Interannual  comparisons  for  other  re- 
gions were  not  possible. 

Samples  were  collected  from  all  3  regions  dur- 
ing cruise  I.  Four  tests  for  regional  differences 
during  this  cruise  were  made.  First,  regions  were 
compared  based  on  naupliar  concentrations  in  the 
upper  10  m  only  (Table  2);  based  on  whole  water 
collections  F  was  significant  at  P  <  0.05  and 
based  on  samples  collected  with  64  \xm  mesh  nets 
F  was  significant  at  P  <  0.09.  Second,  regions 
were  compared  based  on  naupliar  concentrations 
from  all  depths  (Table  2);  based  on  whole  water 
collections  F  was  significant  at  P  <  0.01  and 
based  on  samples  collected  with  64  (xm  mesh  nets 
F  was  significant  at  P  <  0.22.  Thus,  whole  water 
samples  collected  on  cruise  I  indicated  significant 
regional  differences  in  naupliar  concentration 
but  samples  collected  with  64  fxm  mesh  nets  did 
not.  In  addition,  there  were  significant  regional 
differences  in  the  concentrations  of  total  copepods 
(P  <  0.01)  and  in  zooplankton  displacement  vol- 
ume (P  <  0.05)  during  cruise  I  (data  not  shown). 
Regional  comparisons  were  not  possible  during 
other  cruises  because  all  3  regions  were  not  sam- 
pled in  years  other  than  1981. 

Where  possible,  we  also  tested  for  onshore- 
offshore  gradients  in  naupliar  concentrations  in 
the  upper  10  m.  Stations  were  categorized  accord- 
ing to  bottom  depth  as  shallow,  <18  m,  interme- 
diate, 18-90  m,  and  deep,  >90  m,  and  compari- 
sons were  made  between  these  3  depth  categories. 
A  highly  significant  onshore-offshore  difference 
existed  during  cruise  I  for  nauplii  collected  with 
the  64  |xm  MOCNESS  nets  (Table  3).  During 
cruise  III  samples  were  only  collected  in  the  Mis- 
sissippi River  delta  region  but  onshore-offshore 
differences  within  this  region  were  significant 
(Table  3).  No  significant  onshore-offshore  gradi- 
ents were  observed  in  naupliar  concentrations  de- 
termined from  whole  water  samples  collected 
from  all  3  regions  during  cruise  I,  or  in  nauplii 
from  only  the  Mississippi  River  delta  region  dur- 
ing cruise  II  (Table  3). 

Although  regional  differences  in  average  con- 
centrations of  nauplii  were  not  strong,  the  verti- 
cal distributions  were  different.  For  example,  sev- 
eral stations  at  approximately  the  50  m  isobath 
are  compared  in  Figure  2.  At  station  IV- 1  (Fig. 
2a)  ofT  the  coast  of  Texas,  there  was  no  marked 
vertical  heterogeneity  in  naupliar  concentra- 
tions, the  maximum  concentration  was  low  (23 
nauplii/L),  and  the  average  concentration  was 


322 


DAGG  ET  AL.:  DISTRIBUTION  OF  COPEPOD  NAUPLII 

Table  2. — Regional  comparisons  of  naupliar  concentrations  during 
cruise  I.  Samples  were  collected  by  2  methods:  whole  water  sam- 
ples were  collected  with  Niskin  bottles,  and  64  (i.m  mesh  nets  were 
used  to  collect  the  net  caught  samples. 


Cruise 


1 


Depths 


Sample 
type 


Probability 
of  F 


upper  10  m 

whole  water 

28 

<0.05 

upper  10  m 

64  ^m  nets 

126 

<0.09 

all  depths 

whole  water 

57 

<0.01 

all  depths 

64  |jLm  nets 

222 

<0.22 

Table  3. — Onshore-offshore  comparisons  of  naupliar  concentra- 
tions from  the  upper  10  m  of  each  station.  Tests  for  cruise  I  are 
based  on  naupliar  concentrations  from  all  3  regions  pooled  then 
separated  into  3  depth  categories.  During  cruises  II  and  III.  nauplii 
were  only  collected  from  the  Mississippi  River  delta  region. 


Cruise 


I 


Regions 


Sample 
type 


Probability 
of  F 


all 

whole  water 

28 

<0.14 

all 

64  ^m  nets 

126 

<0.01 

Mississippi  R. 

20  jjim  sieve 

28 

<0.25 

Mississippi  R. 

20  M-m  sieve 

49 

<0.01 

NAUPLIUS   CONCENTRATION    (number/ liter) 


Q. 

UJ 
Q 


I 
»- 
Q. 
UJ 
Q 


c 

25                  50                  75 
1,  .                1                      1 

10- 

^  / 

4 

1 

If    1 

1 
1 

30- 

* 

^ 

50- 

Hi 

112 

n3 

(0 

Figure  2. — Naupliar  concentrations  (number/liter)  from  selected  stations  near  the  50  m  isobath  on  the  Texas  continental 
shelf  (a,  station  IV-1),  the  Louisiana  Shelf  (b,  station  IV-2,  c,  stations  II-l,  II-2,  II-3),  and  the  northwest  Florida  shelf  (d, 
station  11-10). 


323 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


low  (11  nauplii/L).  The  same  pattern  was  ob- 
served off  Cape  San  Bias  (Fig.  2d);  there  was  no 
marked  vertical  heterogeneity,  and  the  maxi- 
mum and  average  concentrations  were  low,  14 
and  12  nauplii/L.  In  contrast,  nauplii  at  stations 
near  the  50  m  isobath  in  the  region  near  the  Mis- 
sissippi River  delta  typically  showed  marked  ver- 
tical heterogeneity  in  abundance.  At  station  IV-2 
(Fig.  2b),  the  maximum  concentration  was  187 
nauplii/L  and  the  minimum  was  24  nauplii/L.  At 
station  II- 1,  II-2,  and  II-3  in  the  Mississippi  River 
delta  region  (Fig.  2c)  naupliar  abundances  were 
also  vertically  heterogenous,  although  concentra- 


tions were  lower  than  at  Station  IV-2.  In  general, 
based  on  all  our  vertical  profiles  (most  not 
shown),  regions  influenced  by  the  Mississippi 
River  can  contain  high  concentrations  of  nauplii 
in  the  surface  layer,  while  subsurface  concentra- 
tions are  similar  to  concentrations  in  the  other  2 
regions. 

Vertical  structure  in  the  distribution  of  nauplii 
appears  to  be  related  to  physical  structure.  At  the 
stations  off  the  coasts  of  Texas  and  Florida  (Fig. 
2a,  2d),  temperture  and  salinity  were  essentially 
vertically  homogenous  (Fig.  3a,  3d)  whereas  off 
the    Mississippi    River   delta   temperature    and 


20%.        24  28 


32  36 


24%.         28 
16*0  18 


Figure  3. — The  vertical  distribution  of  temperature  (•)  and  salinity  (x)  at  the  stations  represented  in  Figure  2. 


324 


DAGG  ET  AL.:  DISTRIBUTION  OF  COPEPOD  NAUPLII 


salinity  were  vertically  stratified  (Fig.  3b,  3c). 
The  same  pattern  was  seen  in  the  chlorophyll  a 
distributions  (Fig.  4)  and  the  nitrate  distributions 
(Fig.  5). 

Correspondence  between  chlorophyll  a  concen- 
tration and  naupliar  abundance  was  computed; 
the  correlation  coefficient  for  a  linear  regression 
of  chlorophyll  concentration  on  naupliar  abun- 
dance for  all  5  cruises  in  =  269)  was  0.39,  signifi- 
cant at  the  1%  level.  However,  analysis  of  covari- 
ance    showed    that    the    relationship    between 


chlorophyll  and  naupliar  concentration  was  sig- 
nificantly different  between  cruises,  and  there- 
fore the  data  from  the  5  cruises  should  not  be 
pooled.  Although  a  significant  relationship  be- 
tween chlorophyll  concentration  and  naupliar 
concentration  typically  exists,  it  is  not  consistent 
from  cruise  to  cruise.  Regression  parameters  and 
correlation  coefficients  for  each  cruise  are  shown 
in  Table  4.  Pairwise  tests  indicate  that  the  slope 
of  the  regression  for  cruise  V  was  significantly 
different  from  all  the  others,  cruise  IV  was  differ- 


0  I  0 


•    CHLOROPHYLL   a     (ug/liter) 

2.0  3  0  4.0  10  2.0 


Figure  4. — The  vertical  distribution  of  chlorophyll  a  at  the  stations  represented  in  Figure  2. 


NITRATE    (ug-at/liter) 


Figure  5. — The  vertical  distribution  of  nitrate  at  the  stations  represented  in  Figure  2. 


325 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Table  4. — Parameters  and  coefficients  for  linear  regressions  of  chlorophyll 
concentration  on  nauplius  concentration  for  each  cruise.  Y  =  a  +  b(X)  where 
y  =  naupliar  concentration  as  number  per  liter,  and  X  =  chlorophyll  concentra- 
tion as  fjig  per  liter.  Significance  level  tested  is  0.01. 


Significance 

Significance 

of 

Cruise 

n 

Intercept 

Slope 

of  slope 

/-2 

correlation 

1 

57 

12.9 

9.7 

<0.01 

0.40 

<0.01 

II 

70 

5.4 

15.4 

-0.01 

0.53 

<0.01 

III 

80 

3.7 

9.2 

<0.01 

0.34 

<0.01 

IV 

20 

6.9 

39.4 

<0.01 

0.94 

<0.01 

V 

42 

26.1 

1.1 

NS 

0.04 

NS 

ent  from  all  others,  cruise  II  was  different  from 
all  the  others,  and  cruises  I  and  III  were  not  dif- 
ferent from  each  other  but  different  from  cruises 
II,  IV,  and  V.  The  slopes  of  all  relationships  ex- 
cept cruise  V  were  significantly  different  from 
zero. 

The  size-frequency  distribution  of  nauplii  did 
not  vary  in  any  systematic  manner  (Fig.  6).  For 
example,  at  station  IV-1,  the  bulk  of  the  nauplii 
were  between  20  and  100  \x.m  at  all  depths  sam- 
pled during  both  the  daytime  and  nighttime  peri- 
ods. The  size-frequency  distribution  was  essen- 
tially identical  at  station  IV-2,  off  Louisiana  (data 
not  shown). 

At  some  stations,  copepodid  stages  <600  ixm  in 
length  (50-200  \xm  in  width)  were  counted  in  ad- 
dition to  nauplii  because  they  are  potential  prey 
items  for  menhaden  larvae.  Copepodites  were 
usually  not  as  abundant  as  nauplii,  especially  at 


stations  with  high  naupliar  abundances.  On  occa- 
sion, they  were  as  abundant  or,  at  specific  depths, 
more  abundant  than  the  nauplii  (Table  5).  The 
ratio  of  nauplii  to  copepodites  varied  widely,  be- 
tween 16.3  and  0.3,  so  it  is  not  possible  to  assign 
a  constant  factor  to  naupliar  abundances  to  esti- 
mate the  increase  in  available  prey  attributable 
to  copepodid  stages. 

Other  microzooplankton  were  usually  not  as 
abundant  as  nauplii  or  copepods.  In  our  samples, 
various  forms  of  eggs  reached  a  maximum  density 
of  6  eggs/L  (cruise  III  station  6  at  3  m,  data  not 
shown).  Pelecypod  larvae  at  one  station  (III-ll) 
were  abundant,  reaching  a  maximum  of  29  lar- 
vae/L  at  4  m,  compared  with  22  nauplii,  7  cope- 
podites, and  2  eggs/L  in  the  same  sample.  Only  on 
this  one  occasion  were  organisms  other  than  cope- 
podites or  nauplii  the  dominant  form  of  micro- 
zooplankton. 


Table  5. — Abundance  (number/liter)  of  other  microzooplankton  in  addition  to  nauplii  at 

selected  stations  during  cruise  III. 


Station 

Depth 
(m) 

Nauplii 

Cope- 

podids 

<600^m 

Cope- 

podids 

>600  ii.vn 

Larva- 
ceans 

Eggs 

Other 

III-3 

6 

17.3 

7.5 

1.0 

7.8 

0.5 

1.8 

9 

29.3 

12.0 

0.5 

11.0 

0 

1.8 

12 

17.5 

8.0 

1.0 

6.8 

1.5 

2.3 

20 

7.8 

2.8 

0 

1  0 

2.0 

0.5 

III-7 

0 

24.0 

6.3 

4.0 

0 

1.0 

1.0 

3 

15.3 

12.3 

1.0 

0 

0.3 

1.3 

5 

3.0 

5.0 

1.0 

0 

0.8 

0.3 

13 

4.8 

5.8 

0.3 

0 

0 

0.5 

22 

2.0 

1.0 

0.3 

0 

0 

0 

111-14 

0 

15.8 

12.0 

1.3 

0 

1.3 

2.0 

5 

44.8 

3.8 

0.3 

0.5 

3.0 

4.0 

10 

40.0 

6.8 

0.8 

1.3 

4.3 

0.3 

15 

11.5 

8.0 

3.8 

1.0 

1.8 

0.3 

20 

12.0 

35.0 

6.8 

0.3 

0.3 

0.8 

111-16 

0 

15.8 

25.3 

5.0 

0 

0 

12.8 

6 

8.0 

16.0 

2.3 

0 

1.0 

2.5 

9 

30.0 

14.0 

2.0 

0 

0.3 

2.5 

12 

29.0 

13.3 

0.5 

0 

0.8 

1.3 

15 

17.0 

12.5 

1.0 

0 

0.8 

0.5 

25 

31.8 

12.8 

0.8 

0 

0 

5.0 

326 


DAGG  ET  AL.:  DISTRIBUTION  OF  COPEPOD  NAUPLII 


NIGHT 


20- 


^i=H 


-T 1 


DAY 


0  m        20 


-1 1 1        I 


20- 


0^— -^ 
20 


-I 1 1 1 


52 

^        0 


-I 1 1 


20-1 


E 

13 
C 


o 


LlI 

o 

:z. 
o 
o 

CO 

_J 
CL 


0 
20- 

0 
20 

0 
20n 


r~|   . 


somple    lost 


-1 1 1 1 


20-1 


n 


-I 1 r 


20- 


:i-^ 


20 


5m 


X4- 


lOm 


15m 


20  m 


25m 


30m 


20n 

0 

20- 

0 
20- 

0 
20- 

0 
20- 

0 
20- 


^aXL 


5=L 


r. 


35m 


-I ' 1 


-T r  ■! 


1 1  I 

o       o       o        o       o       o  o 

^           CD             ^           (I>           O  ^ 

BODY    WIDTH  (mm) 


40m 


20 


=F=L 


o       o       o       o        o       o        o 

•3-  CD  oj  i£  o  ^ 

BODY    WIDTH    (mm) 


45  m 


Figure  6.— The  size-frequency  distribution 
of  nauplii  from  station  IV- 1. 


327 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


DISCUSSION 

Menhaden  larvae  between  3  and  20  mm  long 
collected  during  wintertime  from  3  regions  in  the 
northern  Gulf  of  Mexico  contained  a  variety  of 
diet  items,  including  dinoflagellates,  tintinnids, 
copepod  eggs,  nauplii,  copepodids,  juvenile  pele- 
cypods,  and  pteropods  (Govoni  et  al.  1983,  1985). 
Dinoflagellates  and  tintinnids  constituted  the 
main  diet  items  of  larvae  <5.0  mm  long  but  were 
replaced  by  copepod  nauplii,  then  copepodids  and 
small  adult  copepods  as  larvae  grew  larger. 

In  another  study,  Stoecker  and  Govoni  (1984) 
found  that  copepod  nauplii  were  the  dominant 
items  in  the  diet  of  menhaden  larvae  7.0-9.0  mm 
long,  although  only  12  fish  were  examined.  Later 
studies,  however,  have  verified  that  nauplii  are 
the  dominant  items  in  the  diet  of  a  wide  size 
range  of  larval  menhaden  collected  in  the 
boundary  between  the  plume  of  the  Mississippi 
River  and  oceanic  waters  (Govoni  and  Hoss  fn.  3) 

The  maximum  width  of  food  items  in  menhaden 
larvae  <5  mm  long  was  about  200  |xm  (Govoni  et 
al.  1983).  This  width  increased  up  to  about  400 
(xm  for  larvae  10  mm  long.  In  another  study 
(Stoecker  and  Govoni  1984)  maximum  prey  size 
was  calculated  in  a  different  manner;  the  average 
width  of  the  largest  prey  type  was  used.  With  this 
index  the  estimated  maximum  width  of  prey 
items  was  50  ^JLm  for  larvae  <5  mm  long  and 
about  140  |jLm  for  larvae  9-11  mm  long.  In  our 
study,  most  of  the  nauplii  were  between  40  and  80 
|jLm  body  width,  and  most  of  the  copepodites  were 
between  50  and  200  p-m  body  width.  These  cope- 
pod developmental  stages  were  in  the  size  range 
of  diet  items  typically  found  in  guts  of  intermedi- 
ate size  (7-11  mm)  larvae  of  the  gulf  menhaden 
and  we  believe  our  samples  are  reasonably  repre- 
sentative of  the  prey  concentrations  available  to 
these  larvae.  Other  prey  items  for  larvae  in  this 
size  range  were  common  only  on  rare  occasions. 

The  importance  of  high  prey  concentrations  to 
successful  feeding  and  survival  offish  larvae  has 
frequently  been  noted  (Hunter  1981).  Concentra- 
tions required  to  give  high  survival  in  laboratory 
experiments  are  seldom  found  in  the  ocean  but 
careful  attention  to  culture  techniques  can  result 
in  reasonably  high  survival  at  prey  densities  that 
are  close  to  or  overlap  the  maximum  natural  con- 
centrations (Houde  1978).  At  stations  near  the 
river  delta  that  are  strongly  affected  by  the  river 
plumes,  maximum  concentrations  of  nauplii  were 
typically  in  the  range  of  20-50  nauplii/L.  At  sta- 
tions farther  down  plume,  away  from  the  delta. 


maximum  naupliar  concentrations  were  higher, 
up  to  187  nauplii/L  at  station  IV-2  for  example.  It 
is  not  clear  whether  this  is  a  seasonal  pattern,  a 
pattern  due  to  the  down-plume  development  of 
the  food  web,  or  a  pattern  attributable  to  some 
other  factors.  However,  the  concentrations  ob- 
served in  waters  with  salinities  lowered  by  the 
river  plumes  are  mostly  within  the  range  of  10- 
100  nauplii/L  that  is  frequently  reported  for 
oceanic  and  coastal  waters  for  microzooplankton, 
or  the  50-100  nauplii/L  range  for  coastal  and  es- 
tuarine  areas  (see  Houde  1978;  Hunter  1981  for 
summaries).  The  addition  of  copepodite  stages 
and  other  potential  prey  items  to  the  naupliar 
abundances  in  this  study  would  increase  the  esti- 
mates of  available  prey  somewhat  but  usually  not 
more  than  20%.  At  least  during  the  wintertime, 
the  waters  surrounding  the  Mississippi  River 
delta  do  not  appear  to  contain  exceptionally  high 
concentrations  of  copepod  nauplii,  compared  to 
other  coastal  and  estuarine  areas. 

The  vertical  distribution  of  nauplii  was  fre- 
quently similar  to  that  of  chlorophyll.  Regres- 
sions of  naupliar  concentration  on  chlorophyll 
concentration  were  significant  for  4  of  the  5 
cruises  although  not  the  same  in  each  case.  As- 
suming chlorophyll  is  a  reasonable  indicator  of 
phytoplankton  abundance  and  thus  food  abun- 
dance for  nauplii,  then  nauplii  appear  to  be  ag- 
gregated at  the  depth  of  highest  food  availability. 
Year  to  year  variability  in  the  relationship  indi- 
cates that  other  factors  are  also  important  in  de- 
termining the  abundance  and  distribution  of  nau- 
plii. Because  eggs  released  from  adult  female 
copepods  would  sink  out  of  the  surface  water  be- 
fore hatching,  it  is  probable  that  active  swimming 
by  nauplii  plays  a  part  in  the  aggregation  process, 
perhaps  enchanced  by  physical  convergence  proc- 
esses. 

In  our  study  we  noted  that  there  were  interan- 
nual  differences  in  naupliar  concentrations,  there 
were  sometimes  significant  regional  differences, 
and  there  were  sometimes  significant  onshore- 
offshore  differences.  Although  we  anticipated 
finding  higher  concentrations  of  nauplii  in  the 
region  near  the  Mississippi  River  delta,  this  pat- 
tern was  not  always  observed.  This  finding  might 
indicate  that  there  is  not  an  important  difference 
between  the  3  regions  as  far  as  larval  food 
availability  is  concerned.  Alternatively,  it  might 
indicate  that  there  are  subregions  within  the 
larger  Mississippi  River  delta  region  that  contain 
a  food  environment  for  fish  larvae  that  allows  for 
enhanced  survival  and  growi;h,  but  that  we  failed 


328 


DAGG  ET  AL.:  DISTRIBUTION  OF  COPEPOD  NAUPLII 


to  clearly  identify  and  segregate  these  regions. 
The  overall  region  did  not  always  appear  signifi- 
cantly better  than  the  other  regions  because  only 
parts  of  it  are  better. 

On  the  continental  shelf  in  the  Gulf  of  Mexico, 
as  in  other  shelf  regions  of  the  United  States,  the 
typical  pattern  is  for  the  water  to  be  vertically 
well-mixed  during  the  wintertime  (Parker  1968). 
Autumn  cooling  breaks  down  the  thermal  strati- 
fication that  has  existed  throughout  the  summer 
and  allows  the  isothermal  water  column  to  be 
easily  mixed.  The  major  exception  to  this  general 
pattern  in  the  Gulf  of  Mexico  is  the  shelf  region 
influenced  by  the  large  volume  of  freshwater 
runoff  from  the  Mississippi  River.  During  this  pe- 
riod, the  freshwater  influx  is  of  sufficiently  large 
volume  (average  flow  for  December  to  March  in 
1975  through  1979  was  17,290  m^/second  (U.S. 
Army  Engineer  District,  New  Orleans  Corps  of 
Engineers,  1980))  to  physically  stratify  the  shelf 
waters  hundreds  of  km  downstream  from  the 
delta.  We  suggest  that  this  salinity-induced  strat- 
ification is  a  vital  component  of  the  recruitment 
success  of  Gulf  menhaden  because  it  provides  an 
environment  in  which  prey  aggregations  can 
occur.  It  has  been  suggested  that  vertical  stratifi- 
cation by  other  small-scale  physical  phenomena 
(e.g.,  Langmuir  circulation)  allows  significant 
patchiness  of  prey  items  to  exist  (Lasker  1975). 
This  patchiness  provides  small  regions  of  compar- 
atively high  food  concentrations  for  fish  larvae, 
and  results  in  improved  feeding  success.  In  this 
study,  copepod  nauplii  were  aggregated  vertically 
at  stations  with  physical  stratification  and  were 
nearly  homogenously  distributed  at  stations  lack- 
ing physical  stratification.  Maximum  naupliar 
concentrations  (no.  per  m^)  at  stratified  stations 
were  typically  2-10  times  greater  than  at  non- 
stratified  stations. 

In  conclusion,  we  believe  that  the  large  fresh- 
water inflow  of  the  Mississippi  River  during  the 
wintertime  spawning  period  of  the  Gulf  men- 
haden contributes  to  the  feeding  success  and 
survival  of  larval  fish  by  providing  physical  strat- 
ification which  in  turn  results  in  a  vertical  strat- 
ification of  phytoplankton  and  microzooplankton 
in  layers  or  patches  of  relatively  high  concentra- 
tions. 

ACKNOWLEDGMENTS 

Part  of  this  work  was  done  in  cooperation  with 
personnel  from  the  National  Marine  Fisheries 
Service  at  Beaufort,  NC  and  at  Pascagoula,  MS. 


In  particular,  we  would  like  to  thank  D.  Hoss  for 
providing  time  and  space  in  his  field  programs, 
and  J.  Govoni  for  discussion  of  several  portions 
of  the  manuscript.  S.  Cummings,  L.  Hill, 
E.  Walser,  J.  White,  J.  Turner,  P.  Morgan, 
C.  Neill,  and  E.  Turner  assisted  in  collecting  and 
analyzing  samples.  Part  of  this  work  was  done 
in  cooperation  with  D.  Checkley  and  A.  Amos  at 
the  University  of  Texas;  their  contributions  are 
greatly  appreciated.  Thanks  also  to  the  captains 
and  crews  of  the  F.R.V.  Oregon  II,  the  RV 
Longhorn,  and  the  R.  J.  Russell.  This  work  was 
supported  by  the  Louisiana  Universities  Marine 
Consortium,  by  NSF  Grant  OCE-81 19848,  and  by 
the  Ocean  Assessment  Division,  National  Ocean 
Services,  NOAA. 


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1977.  Distributions,  size,  and  abundance  of  microcopte- 
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Fore,  P  L 

1970.     Oceanic  distribution  of  eggs  and  larvae  of  the  Gulf 
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Gamble,  J  C ,  P  Maclachlan,  N  T  Nicholl.  and  I.  G.  Baxter. 
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Govoni,  J  J ,  A  J  Chester.  D  E  Hoss,  and  P  B  Ortner 

1985.     An  observation  of  episodic  feeding  and  growth  of 
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Houde,  E  D 

1978.  Critical  food  concentrations  for  larvae  of  three  spe- 
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HOUDE.  E   D  .  AND  J.  A   LOVDAL. 

1984.     Seasonality  of  occurrence,  foods  and  food  prefer- 
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Hunter.  J  R 

1981.     Feeding  ecology  and  predation  of  marine  fish  lar- 
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Laurence,  G  C 

1974.  Growth  and  survival  of  haddock  (Melanogrammus 
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Lasker,  R. 

1975.  Field  criteria  for  survival  of  anchovy  larvae:  The 
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1978.     The  relation  between  oceanographic  conditions  and 
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1981.  Spawning  and  sexual  maturity  of  gulf  menhaden, 
Brevoortia  patronus.     Fish.  Bull.,  U.S.  78:947-951. 


Parker.  C  A 

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Stoecker.  D  K  ,  and  J  J  Govoni. 

1984.     Food  selection  by  young  larval  gulf  menhaden  (Bre- 
voortia patronus).     Mar.  Biol.  80:299-306. 
Strickland,  J  D  H ,  and  T  R.  Parsons. 

1968.     A  practical  handbook  of  seawater  analysis.     Bull. 
Fish.  Res.  Board  Can.  167,  p.  201-203. 
US  Department  of  Commerce 

1983.     Fisheries  Statistics  for  the  United  States,  1982. 
US  Army  Engineer  District,  New  Orleans  Corps  of  Engi- 
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1980,     Stages  and  discharges  of  the  Mississippi  River  and 
its  tributaries  and  other  watersheds  in  the  New  Orleans 
District,  1975-1979. 
Warlen,  S.  M. 

1988.     Age  and  growth  of  larval  menhaden,  Brevoortia  pa- 
tronus, in  the  northern  Gulf  of  Mexico.     Fish.  Bull.,  U.S. 
86:77-90. 
WiEBE,  P  H ,  K.  H  Burt,  S  H  Boyd,  and  A  W  Morton. 

1976.  A  multiple  opening/closing  net  and  environmental 
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34:313-326. 


330 


THE  EFFECTS  OF  SILTATION  ON  RECRUITMENT  OF  SPINY  LOBSTERS, 

PANULIRUS  ARGUS 


William  F  Herrnkind.'  Mark  J.  Butler  IV,'  and 
Richard  A.  Tankersley^ 


ABSTRACT 

Several  surveys  in  the  Florida  Keys  indicated  fewer  juvenile  spiny  lobsters,  Panulirus  argus,  in  an 
area  where  their  primary  habitat,  stands  of  benthic  algae  Laurencia  spp.,  was  heavily  silted  as 
compared  with  similar,  less  silted  habitat.  We  tested  several  hypotheses  explaining  this  relationship: 
1)  planktonic  postlarval  lobster  abundances  are  lower  in  the  silted  area,  2)  siltation  of  algae  impedes 
postlarval  settlement  or  subsequent  juvenile  habitat  selection,  or  3)  siltation  increases  mortality  at 
the  time  of  metamorphosis.  We  also  compared  the  time-to-metamorphosis  for  settling  pueruli  within 
silted  and  nonsilted  algae,  analyzed  the  physical  character  of  algal  silt  in  low-silt  and  high-silt 
regions  and  measured  the  abundances  of  epifauna  constituting  prey  of  juvenile  spiny  lobsters.  Plank- 
tonic postlarval  abundances  were  substantially  higher  in  the  high-silt  area  thus  rejecting  hypothe- 
sis 1.  Likewise,  results  from  laboratory  experiments  testing  the  effect  of  algal  siltation  on  postlarval 
time-to-metamorphosis  and  early  postsettlement  survival  showed  no  short-term  increase  in  mortal- 
ity. Limited  postlarval  settlement  and  avoidance  of  silted  algal  habitats  by  juveniles,  as  determined 
in  substrate  choice  experiments,  probably  accounts  for  the  paucity  of  young  spiny  lobsters  in  heavily 
silted  localities.  In  addition,  although  juvenile  spiny  lobsters  are  nonselective  predators,  lower  prey 
availability  in  silted  algae  probably  promotes  transciency  which,  in  turn,  causes  increased  mortality 
by  predation  while  juveniles  are  exposed.  Large-scale  siltation  exacerbated  by  human  activity  must 
be  viewed  as  potentially  deleterious  to  spiny  lobster  recruitment. 


The  western  Atlantic  or  Florida  spiny  lobster, 
Panulirus  argus,  is  the  focus  of  an  intense  com- 
mercial and  recreational  fishery  in  south  Florida, 
particularly  the  Florida  Keys.  Besides  severe 
fishing  pressure,  spiny  lobster  populations  are 
subject  to  a  variety  of  other  factors  that  poten- 
tially limit  population  size.  For  example,  habitat 
degradation,  like  that  resulting  from  chronic  sil- 
tation, may  affect  not  only  adult  lobsters  but  the 
postlarval  settlement  stage  as  well.  During  1983 
and  1984  we  sampled  numerous  sites  in  a  region 
of  about  40  km^  east  of  Big  Pine  Key  which  was 
chronically  heavily  silted  and  held  low  numbers 
of  newly  settled  spiny  lobsters  despite  extensive 
benthic  algal  growth  typical  of  settlement  habi- 
tat. We  hypothesized  that  postlarval  spiny  lob- 
sters either  do  not  settle  in  silted  habitat  or  settle 
there  but  do  not  survive.  In  either  case,  we  sup- 
posed that  the  heavy  siltation  reduced  the  carry- 
ing capacity  of  otherwise  suitable  habitat,  poten- 
tially reducing  regional  recruitment  where 
siltation  is  widespread. 


•Department  of  Biological  Science,  The  Florida  State  Univer- 
sity, Tallahassee,  FL  32306-3050. 

^Department  of  Biological  Science,  The  Florida  State  Univer- 
sity, Tallahassee,  FL;  present  address:  Department  of  Biology, 
Wake  Forest  University,  Winston-Salem,  NC  27109. 


Sediment  particle  size,  composition,  and  stabil- 
ity influence  larval  settlement  in  a  variety  of 
marine  benthic  invertebrates  (Crisp  1974,  1976; 
Gray  1974;  Rhoads  1974;  Pearson  and  Rosenberg 
1978).  For  example,  heavy  siltation  and  sediment 
instability,  created  by  natural  biogenic  rework- 
ing of  the  substrate  and  subsequent  resuspension 
of  sediments  by  turbulence  reduces  the  abun- 
dance of  suspension  feeding  infauna  (Rhoads  and 
Young  1971;  Aller  and  Dodge  1974).  In  addition, 
siltation  from  human  activities  (e.g.,  dredging, 
shoreline  development,  boat  traffic,  etc.)  can  de- 
grade benthic  community  structure  via  anaero- 
biosis,  direct  burial,  toxic  poisoning,  or  increased 
turbidity  (Morton  1977;  Allen  and  Hardy  1980; 
Jones  and  Candy  1981;  Cortes  and  Risk  1985). 
Most  available  information  concerns  sessile  or  in- 
faunal  species,  but  little  information  exists  for 
mobile,  epibenthic  forms  (Pearson  and  Rosenberg 
1978).  Although  the  habitat  selection  and  bur- 
rowing behavior  of  some  shrimps  and  juvenile 
clawed-lobsters  has  been  investigated  in  relation 
to  substrate  character  (Ruello  1973;  Howard  and 
Bennett  1979;  Aziz  and  Greenwood  1982;  Botero 
and  Atema  1982;  Pottle  and  Elner  1982;  Roach 
1983;  Herrnkind  and  Butler  1986),  we  know  of  no 
research  describing  the  effect  of  siltation  on  deca- 


Manuscnpt  accepted  February  1988. 
FISHERY  BULLETIN:  VOL.  86,  NO  2,  1988. 


331 


FISHERY  BULLKTIN:  VOL.  86,  NO.  2 


pod  recruitment.  Our  research  focuses  on  the  im- 
pact of  siltation  on  spiny  lobster  postlarvae  and 
early  benthic  juveniles,  stages  that  are  morpho- 
logically and  behaviorally  distinct  from  adults. 

Late  stage  P.  argus  phyllosome  larvae  drift  in 
the  oceanic  plankton  for  6-9  months  after  hatch- 
ing and  metamorphose  offshore  into  nonfeeding 
pueruli  (postlarvae)  that  swim  inshore  and  settle 
in  benthic  vegetation  (Marx  1986).  Nev^ly  settled 
pueruli  metamorphose  into  cryptically  colored 
benthic  juvenile  instars  after  about  one  week. 
Pueruli  preferentially  settle  in  highly  architec- 
tured  benthic  algal  assemblages  where  subse- 
quent survival  and  growth  depend  upon  available 
prey  and  physical  refuge  from  predators 
(Herrnkind  and  Butler  1986).  Ubiquitous,  widely 
distributed  stands  of  bushy  red  algae,  Laurencia 
spp.,  provide  these  essential  conditions  and  prob- 
ably serve  as  the  most  important  regional  settle- 
ment and  nursery  habitat  for  juvenile  spiny  lob- 
sters (Marx  and  Herrnkind  1985a,  b;  Herrnkind 
and  Butler  1986;  Marx  1986).  The  early  instars 
remain  within  the  algae  for  several  months  until 
attaining  about  20  mm  carapace  length  (CL) 
(Andree  1981;  Marx  and  Herrnkind  1985a)  when 
they  begin  to  occupy  crevices  in  rubble  or  under 
sponges,  coral,  and  exposed  seagrass  rhizome 
mats.  In  Florida,  postlarval  settlement  is  year- 
round  with  vernal,  autumnal,  newmoon,  and  oc- 
casionally aperiodic  peaks  (Little  1977;  Little  and 
Milano  1980;  Marx  1986).  The  spatial  pattern  of 
settlement  is  poorly  known  although  new  recruits 
are  widely  dispersed  within  algal  habitats;  diver 
surveys  have  yielded  estimates  of  one  juvenile  per 
36  m^  of  profuse  algal  growth  (Marx  and  Herrn- 
kind 1985a).  Yet  because  postlarvae  settle  con- 
tinuously and  juveniles  grow  rapidly,  a  single 
hectare  of  the  above  habitat  is  estimated  to  nur- 
ture about  1,000  spiny  lobsters  annually  (Marx 
and  Herrnkind  1985a;  Marx  1986).  There  is  no 
compelling  evidence  suggesting  that  benthic 
stage  lobsters  immigrate  into  Florida  waters  from 
other  Caribbean  areas,  although  their  planktonic 
larvae  presumably  do  so  (Lyons  1980;  Marx 
1986).  Recruitment  is  thus  primarily  limited  to 
postlarval  influx.  Therefore,  precise  knowledge  of 
the  factors  influencing  postlarval  recruitment 
and  recruit  mortality  is  essential  to  managing  the 
intensive  Florida  spiny  lobster  fishery. 

Here  we  report  on  studies  undertaken  to  inves- 
tigate the  impact  of  the  observed  algal  siltation 
on  spiny  lobster  recruitment.  We  compared  field 
abundances  of  both  pueruli  and  early  juveniles  in 
a  representative  silted  and  unsilted  area,  exam- 


ined the  relationship  between  siltation  and  avail- 
able epifaunal  prey,  determined  the  impact  of  silt 
load  on  puerulus  survival  from  settlement 
through  metamorphosis,  and  tested  the  prefer- 
ence of  settling  pueruli  and  algal-dwelling  juve- 
niles for  silted  and  unsilted  algae. 

METHODS 

Postlarval-Juvenile  Abundance  in 
Silted  and  Unsilted  Habitats 

During  June  through  August  1985,  we  com- 
pared the  natural  abundance  of  newly  settled  ju- 
venile spiny  lobsters  (6-20  mm  CL)  in  previously 
sampled,  chronically  silted  and  unsilted  areas. 
The  silted  site  (No  Name  Key)  was  located  ap- 
proximately 30  m  off  the  western  shore  of  No 
Name  Key  (Monroe  County,  FL,  U.S.A.)  and  the 
unsilted  site  (Burnt  Point)  30  m  off  the  northwest 
shore  of  Grassy  Key  at  Burnt  Point  (Fig.  1).  The 
benthic  habitat  at  both  sites  was  similar  and 
characterized  by  nearly  contiguous  stands  of 
algae  (Laurencia  spp.)  at  depths  of  1.5-3.0  m.  In- 
tensive visual  search  in  algal  clumps  by  divers 
was  used  to  estimate  the  relative  number  of  ben- 
thic juveniles.  Because  newly  settled  spiny  lob- 
sters are  almost  exclusively  found  associated  with 
algal  clumps  (Marx  and  Herrnkind  1985a),  catch 
per  unit  effort  (CPUE)  as  search  time  within 
algae,  gives  a  more  suitable  estimate  for  our  pur- 
poses of  comparing  abundance  than  density/area 
per  se.  Modified  Witham-type  postlarval  collec- 
tors (Witham  et  al.  1964,  1968;  Little  and  Milano 
1980;  Marx  and  Herrnkind  1985a)  were  used  to 
compare  postlarval  abundance  among  sites. 
Twelve  collectors  were  initially  deployed  at  both 
sites  and  visited  approximately  every  2  weeks  for 
3  months.  Collector  results  are  reported  in  CPUE 
to  standardize  catch  records  biased  by  the  loss  of 
collectors  and  different  sampling  durations. 

Algal  Silt  Content  and  Prey  Content 

To  determine  the  amount  of  silt  and  macro- 
fauna  contained  in  algal  clumps  at  the  silted  and 
unsilted  sites,  we  bagged  individual  clumps  (ap- 
proximately 25  cm  diameter)  of  Laurencia  in  the 
field  for  subsequent  laboratory  processing.  Care 
was  taken  to  ensure  that  loose  silt  present  on  the 
surface  of  the  algae  was  not  disturbed  during  col- 
lection. Ten  clumps,  ranging  in  displacement  vol- 
ume from  55  to  300  mL,  were  collected  at  each 
site.  Algal  samples  were  rinsed  through  a  series 


332 


HERRNKIND  ET  AL    RECRUITMENT  OK  Sl'lNY  LOBSTERS 


Florida  Keys  ^ 


-r«*. 


^B'' 


LITTLE   PINE 
KEY 


/ 

NAME 
KEY 
r   BAHIA 
'    HONDA 
KEY 


^NEWFOUND 
HARBOR  KEYS 


BURNT  POINT 


GRASSY 
KEY 


Figure  l. — Map  of  field  sites  in  the  middle  and  lower  Keys,  Monroe  County,  FL,  U.S.A.  Insets  provide  more  detail  of  the  areas 
surrounding  our  field  sites  (•).  Diagonal  lines  depict  approximate  extent  of  the  heavily  silted  area  we  surveyed. 


of  sieves  (500  |x,  250  |jl,  and  63  jx;  U.S.  Standard 
Sieve  Series),  but  only  the  two  smallest  size  frac- 
tions were  retained  because  subsamples  >500  |x 
consisted  entirely  of  shell  and  algae  fragments. 
Silt  samples  were  dried  for  48  hours  at  lOO'C  and 
then  weighed.  The  amount  of  algal-entrained  silt 
at  the  two  sites  was  compared  using  a  two-sample 
^-test.  Organic  weight  of  the  silt  was  derived  by 
digesting  three  silt  samples  in  SO^f  hydrogen  per- 
oxide for  1  week,  then  oven  drying  the  remaining 
silt  at  60°C  for  48  hours  (Cortes  and  Risk  1985). 
The  fraction  of  carbonates  in  the  silts  was  deter- 
mined by  dissolving  the  three  samples  in  5%  hy- 


drochloric acid  for  1  week,  then  drying  the  sam- 
ples as  above  (Cortes  and  Risk  1985).  Percent 
organics  and  carbonates  (by  weight)  in  the  silts  at 
the  two  sites  were  compared  in  two-sample  ^-tests 
on  arcsin  transformed  data. 

We  counted  the  number  of  epifaunal  prey  in 
silted  and  unsilted  clumps  to  determine  the  possi- 
ble influence  of  siltation  on  juvenile  spiny  lobster 
food  abundance.  The  reported  estimates  of  prey 
abundance  are  means  of  two  separate  counts  per 
clump;  5  clumps  per  treatment  were  processed. 
The  volume  of  each  Laurencia  clump  was  deter- 
mined by  water  displacement,  and  all  silt  load 


333 


FISHERY  BULLETIN;  VOL.  86,  NO.  2 


and  prey  abundance  estimates  standardized  by 
clump  volume.  Prey  abundance  data  were  ana- 
lyzed using  a  two-way  fixed-effects  ANOVA  on 
log  transformed  data  and  Bonferroni  pairwise 
multiple  comparisons. 

Habitat  Selection/Settling  Experiments 

We  tested  postlarval  settlement  and  juvenile 
habitat  selection  in  laboratory  experiments  using 
clumps  of  Laurencia  spp.  with  high-  and  low-silt 
loads  (referred  to  hereafter  as  silted  and  un- 
silted);  the  null  hypothesis  being  equal  selection 
of  both  habitats.  Experiments  were  conducted  in 
fourteen  75.7  L  aquaria  with  subgravel  filters 
and  circulating  current  of  3  cm  s  ^  Light  was 
provided  by  skylights  and  fluorescent  lights  with 
a  photoperiod  of  approximately  14L:10D.  Two  20 
cm  diameter  algal  clumps,  one  silted  and  one  un- 
silted,  were  situated  25  cm  apart  at  opposite  ends 
of  each  aquarium  and  at  least  5  cm  from  aquar- 
ium walls.  The  number  of  natural  prey  in  both 
silted  and  unsilted  clumps  far  exceeded  the  num- 
ber eaten  daily  by  a  juvenile.  To  further  control 
food  availability  in  experiments  with  juveniles 
we  added  equal  amounts  (10  mg)  of  Tetramin^ 
fish  food  to  each  clump,  providing  an  overabun- 
dance of  food  available  ad  libitum.  If  juveniles 
chose  one  type  of  algal  clump  over  the  other,  then 
their  selection  was  most  likely  based  on  the  pres- 
ence or  absence  of  silt,  because  food  abundance 
and  quality  were  similar,  if  not  strictly  identical, 
in  both  types  of  algal  clumps.  Pueruli  neither  feed 
nor  respond  to  the  differential  abundance  of  po- 
tential prey  (Herrnkind  and  Butler  1986).  Silted 
algae  was  collected  from  the  No  Name  Key  site 
(see  section  on  Algal  Silt  Content  and  Prey  Con- 
tent); unsilted  algae  was  collected  just  offshore  of 
the  Sea  World  Marine  Science  and  Conservation 
Center  on  Long  Key.  Fresh  algal  clumps  were 
used  in  each  experimental  replicate.  An  experi- 
ment was  initiated  by  introducing  a  single 
puerulus  or  juvenile  spiny  lobster  to  the  center  of 
an  aquarium  through  a  5  cm  diameter  PVC  pipe. 
Once  a  spiny  lobster  settled  to  the  substrate,  the 
pipe  was  slowly  withdrawn  allowing  the  lobster 
to  move  freely  about  the  aquarium.  This  tech- 
nique prevented  "tailflipping"  by  lobsters  and  fa- 
cilitated active  selection  of  habitats.  Twenty-four 
hours  later  we  located  the  lobsters  and  recorded 
their  positions,  as  in  previous  experiments 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


(Herrnkind  and  Butler  1986).  Fourteen  spiny  lob- 
sters were  tested  on  day  1,  14  more  on  day  2,  and 
so  on  until  our  stock  of  animals  was  depleted. 
Each  lobster  was  used  only  once.  All  pueruli  were 
collected  on  the  incoming  tide  from  the  plankton 
in  interisland  channels.  Pueruli  were  either 
tested  immediately  or  allowed  to  metamorphose 
for  later  use  in  experiments  requiring  juveniles. 
Data  were  analyzed  with  log-linear  Goodness-of- 
fit  tests. 

Metamorphosis  Experiment 

The  effect  of  siltation  on  the  survival  and  time- 
to-metamorphosis  of  pueruli  was  tested  experi- 
mentally in  an  outdoor,  flow-through  seawater 
system.  One  freshly  collected  puerulus  was  placed 
in  each  of  46  seawater-filled  1  L  plastic  beakers, 
23  containing  5  cm  diameter  clumps  of  unsilted 
algae  and  the  other  23  an  equal  amount  of  silted 
algae.  Each  container  was  independently  sup- 
plied with  flowing,  filtered  seawater.  Algal 
clumps  were  replaced  daily.  Pueruli  do  not  feed 
and  their  habitat  selection  operates  independent 
of  food  availability  (Herrnkind  and  Butler  1986), 
thus  no  food  was  added  to  the  containers.  Sea- 
water temperature  in  the  beakers  remained  be- 
tween 26°  and  28°C;  photoperiod  was  approxi- 
mately 14L:10D.  Pueruli  were  monitored  daily 
and  their  survival  and  time-to-metamorphosis 
recorded. 

Pueruli  were  collected  as  transparent  postlar- 
vae  from  the  plankton  in  interisland  channels 
which  concentrate  oceanic  postlarvae  as  they 
move  into  Florida  Bay  nursery  areas.  Time-to- 
metamorphosis  values  represent  the  elapsed  time 
(in  days)  from  puerulus  collection  until  metamor- 
phosis into  the  first  benthic  stage.  Values  are 
likely  to  differ  among  collections  as  different  co- 
horts of  pueruli  arrive  inshore.  There  are  cur- 
rently no  techniques  available  to  determine  the 
actual  age  of  pueruli  (i.e.,  time  since  metamor- 
phosis from  the  phyllosoma  stage),  but  estimates 
of  duration  of  the  puerulus  stage  range  from 
2  weeks  to  1  month  (Lyons  1980;  Calinski  and 
Lyons  1983).  Differences  in  time-to- 
metamorphosis  between  the  two  treatments  were 
analyzed  via  a  two-sample  ^-test. 

Juvenile  Spiny  Lobster  Prey  Selection 
Experiments 

Laboratory  experiments  were  conducted  to  de- 
termine juvenile  spiny  lobster  prey  preference 


334 


HERRNKIND  ET  AL.:  RECRUITMENT  OF  SPINY  LOBSTERS 


and  rate  of  consumption  of  algal  epifauna.  Prey 
were  obtained  by  rinsing  large  clumps  oiLauren- 
cia  through  a  100  |jl  sieve.  Prey  included  small 
gastropods,  amphipods,  isopods,  and  ostracods 
ranging  in  size  from  1  to  9  mm  (Marx  and  Herrn- 
kind  1985a).  Prey  were  individually  counted  and 
placed  in  1  L  plastic  beakers  containing  750  mL  of 
seawater.  One  starved  (24-h)  juvenile  lobster  (6- 
8  mm  CL)  was  introduced  to  each  container,  al- 
lowed to  feed  for  12  hours,  and  was  then  removed; 
the  remaining  prey  were  counted.  Fifteen  spiny 
lobsters  were  tested  in  each  experiment;  each  lob- 
ster was  used  once.  Three  experiments  were  con- 
ducted using  different  prey  combinations  (Table 
1),  but  the  total  number  of  prey  available  re- 
mained similar  and  exceeded  the  amount  a  single 
lobster  could  consume  in  12  hours.  Electivity  in- 
dices calculated  for  each  experiment  were  used  in 
multiple  comparison  tests  to  determine  whether 
juvenile  spiny  lobsters  fed  preferentially  or  ran- 
domly (Johnson  1980). 

Table  1 . — Relative  prey  availabilities  (A)  and  predator  usage  (U) 
values  (percentages)  in  the  three  juvenile  spiny  lobster  prey  selec- 
tion experiments.  N  =  ^5  lobsters  per  experiment.  F-values  calcu- 
lated from  Johnson  (1980)  indicate  whether  prey  choice  differed 
significantly  from  random  in  each  trial:  none  of  the  tests  were  signif- 
icant at  P  =  0.05. 


Experiment 

1 

2 

3 

Prey  type 

A 

U 

A            U 

A 

U 

Gastropoda 

Tncolia  sp. 

Batlillaria  spp. 

Tegula  spp. 

Atys  spp. 
Amphipoda 
Isopoda 
Copepoda 
Ostracoda 
Decapoda 

F-values 
df 


43.5       615       714       83.0       58.0       54.5 


8.7  10         4  3 

6.5  00  — 

—  —  14.3 

32.6  33.9  10.0 


0.2 

7.2 
9.6 


8.3 

0.46 
4,11 


36 


0.40 
3,14 


7.0 
17.4 
11.6 

6.0 

0.09 

4,11 


7.1 
20.0 
13.1 

5.3 


RESULTS 

Postlarvae  were  more  abundant  on  collectors  at 
the  silted  site  than  at  the  unsilted  site.  Diver 
surveys  revealed  that  higher  numbers  of  algal- 
dwelling  juveniles  (<20  mm  CL)  resided  at  the 
unsilted  site  despite  greater  influx  of  pueruli  into 
the  silted  area  (Table  2).  Only  one  juvenile  spiny 
lobster  collected  at  the  silted  site  was  <20  mm 
CL,  most  were  considerably  larger  (25—35  mm 
CL)  than  those  at  the  unsilted  site,  and  some  were 
possibly  large  enough  to  have  immigrated  there 
from  adjacent  unsilted  areas. 


Silt  recovered  from  the  algal  clumps  was 
largely  calcareous  and  formed  a  cohesive  cast 
around  the  algal  filaments.  Classifying  algal- 
bound  silts  by  particle  size  would  yield  irrelevant 
values  because  sieving  caused  fragmentation  of 
aggregated  particles.  Therefore  we  report  only 
the  total  dry  weight  of  the  silts.  Algae  at  No 
Name  Key  carried  a  higher  silt  load  than  algae  at 
Burnt  Point  ix  =  125  vs.  65  g/L  algae,  respec- 
tively; t  =  2.90,  df  =  18,  P  <0.01).  Silt  at  No 
Name  Key  was  characterized  as  12.5  ±  7.4%  or- 
ganic and  28.1  ±  27.6%  carbonate  by  weight, 
whereas  Burnt  Point  silt  was  16.9  ±  1.06%  or- 
ganic and  66.3  ±  14.5%  carbonate  (means  ±  1  SD). 
There  was  no  significant  difference  in  silt  compo- 
sition between  sites  (organics:  t  =0.83,  df=4, 
P  >  0.05;  carbonates:  t  =  1.97,  df  =  4,  P  >  0.05), 
although  sample  sizes  at  each  site  were  small  and 
sample  variance  substantial.  Algae  at  both  sites 
contained  primarily  gastropods,  amphipods,  and 
isopods,  although  significantly  more  gastropods 
and  echinoderms  occupied  unsilted  clumps 
(Fig.  2,  Table  3;  P  <  0.05  in  Bonferroni  pairwise 
multiple  comparisons). 

Significantly  more  pueruli  settled  in  unsilted 
algal  clumps  than  in  silted  clumps  during  labora- 
tory settlement  choice  experiments  (38  vs.  11,  re- 
spectively; G  =  15.72,  P  <  0.001).  Juvenile  spiny 
lobsters  responded  similarly  in  the  habitat  selec- 
tion experiment  (54  vs.  24;  G  =  11.78,  P  <  0.001). 
We  excluded  the  open  sand  habitat  in  aquaria 
from  our  analysis  because  1)  juvenile  spiny  lob- 
sters are  never  found  residing  on  open  sand  in  the 
field,  presumably  due  to  a  lack  of  food  and  refuge 


Table  2. — (A)  Postlarval  lobster  abundances  at  silted  and  unsilted 
Florida  Bay  study  areas.  Postlarval  catch  per  unit  effort  (CPUE) 
was  estimated  from  Witham  collector  catches.  (B)  Juvenile  lob- 
ster (8-20  mm  CL)  abundances  at  the  two  study  sites  in  1985  and 
adjacent  areas  sampled  dunng  1983  and  1984.  Juvenile  CPUE 
was  estimated  via  diver  surveys. 


A.   POSTLARVAL  ABUNDANCE 

CPUE 

1 

Location                    Description 

June     July 

August 

No  Name  Key                        silted 
Burnt  Point                             unsilted 

0.08      0.32 
0.01       0.05 

0.15 
0.10 

B.  JUVENILE  ABUNDANCES 

Location                      Description 

Diving 
hours 

CPUE2 

No  Name  Key  (1983-85)  silted 
Burnt  Point  (1983-85)               unsilted 

28 
20 

0.04 
0.50 

ippiip  -  no  ot  postlarvae  no.  o(  collectors 
no.  of  days  between  collections 


2CPUE 


no.  of  lobsters  collected 
no.  of  diver  hours 


335 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


< 

o 

z 

LU 
CC 

Z) 

< 

_l 

u. 
O 


< 

9 
> 


CC 
Hi 

m 


1200  - 


1000  - 


800  - 


600  - 


-  400  - 


200  - 


GASTRO*    OSTRA 


AMPHI 


ISO 


DECA  ECHINO* 


Figure  2. — Abundances  (x  ±  1  SE)  of  the  six  most  common  prey  found  in  algal  clumps  at 
the  silted  No  Name  Key  and  unsilted  Burnt  Point  sites.  Five  clumps  were  collected  at  each 
site.  Values  are  standardized  by  clump  volume.  Asterisks  denote  significant  difference  in 
Bonferroni  multiple  comparison  tests  (P  =  0.051.  Abbreviation  key:  GASTROpod,  OSTRAcod, 
AMPHlpod,  isopod,  DECApod,  ECHlNOderm. 


Table  3. — Two-way  fixed-effects  ANOVA  testing  for  differences  in 
the  total  number  of  individuals  among  six  prey  categones  (see 
Table  1)  at  two  sites,  one  silted  (No  Name  Key)  and  one  unsilted 
(Burnt  Point).  Data  were  log  transformed. 


Source 


df 


SS 


Site  1  0.841  18.78  0.001 

Prey  type  5  6  242  27.89  0.001 

Site  X  prey  type  5  0.847  3.78  0.006 

Error  48  2.149 


(Marx  and  Herrnkind  1985b;  Herrnkind  and  But- 
ler 1986),  2)  most  spiny  lobsters  recovered  from 
open  sand  were  actually  in  corners,  indicating 
edge-seeking  behavior  rather  than  selection  for 
sand  per  se,  and  3)  only  10.6%  of  142  spiny  lob- 
sters tested  were  found  on  sand  even  though  it 
constituted  68%  of  the  exposed  substrate  in 
aquaria.  Silt  had  no  effect  on  puerulus  survival 
through  metamorphosis  to  the  first  benthic  instar 
(13%  vs.  9%  mortality  in  silted  and  unsilted 
algae,  respectively),  or  time-to-metamorphosis 
(Fig.  3;  t  =  0.37,  P  >  0.05). 

The  total  number  of  prey  items  consumed  in  the 
juvenile  prey  selection  experiments  ranged  from 
19  to  57  prey  per  lobster  per  12  hours.  Juveniles 
fed  randomly  from  the  three  different  prey  combi- 
nations and  frequencies  offered  to  them  (Table  1). 


O 

z 

C/)    20 
O 

I 
Ql 
CC 

o 


10    " 


LU 


y^ 

— O O 

'        //^ 

SILTED 

"     U 

% 

.     //           UNSILTED 

• 

0  1  2  3  4  5  6 

DAYS 

FlGt_iRE  3. — Cumulative  number  of  spiny  lobster  postlarvae 
metamorphosing  as  a  function  of  time  in  one  of  two  treatments: 
silted  algae  (Laurencia  spp.)  or  unsilted  algae.  Twenty-three 
postlarvae  were  tested  in  each  treatment;  two  postlarvae  died  in 
the  unsilted  treatment  and  three  in  the  silted  treatment. 


DISCUSSION 

The  relative  paucity  of  newly  settled  spiny  lob- 
sters in  the  heavily  silted  region  around  No  Name 
Key  over  a  3-yr  period  indicates  that  low  recruit- 
ment to  benthic  habitat  is  typical  there.  The  ab- 
sence of  juveniles  was  apparently  not  due  to  a 


336 


HERRNKIND  ET  AL  :  RECRUITMENT  OF  SPINY  LOBSTERS 


lack  of  postlarval  influx,  which  was  higher  than 
that  at  the  unsilted  Burnt  Point  site,  but  instead 
to  low  rates  of  postlarval  settlement.  Results  from 
our  habitat  selection  experiments  support  this 
hypothesis  because  settlement  was  significantly 
lower  in  silted  algal  clumps  than  in  unsilted 
clumps.  Previous  studies  showed  that  postlarvae 
selectively  settled  in  highly  architectured  materi- 
als, like  algal  clumps  (Herrnkind  and  Butler 
1986).  Thus,  heavy  silt  covering  an  otherwise  pre- 
ferred habitat  either  masks  the  stimuli  triggering 
settlement  or  contains  stimuli  that  elicit  rejection 
by  pueruli.  This  question  remains  for  further 
study.  We  cannot  conclusively  ascertain  from  our 
laboratory  experiments  the  mechanisms  govern- 
ing habitat  choice  in  the  field  where  silted  and 
unsilted  habitats  may  not  be  adjacent,  as  they 
were  in  our  aquaria.  Yet  for  many  species  with 
planktonic  larvae,  these  kinds  of  experiments, 
coupled  with  field  observations  of  more  general 
patterns  of  behavior  and  abundance,  provide 
valuable  insights  into  natural  processes  (Sulkin 
1986). 

Twenty  percent  of  the  pueruli  we  tested  in  lab- 
oratory tanks  settled  in  silted  clumps  despite  the 
general  rejection  of  this  habitat.  Pueruli  settling 
in  silted  algae  probably  metamorphose  normally 
into  the  first  benthic  instar,  as  indicated  by  the 
equivalent  time-to-metamorphosis  and  early  post- 
settlement  survival  in  both  silt  levels  tested. 
However,  subsequent  residency  by  juveniles  pre- 
sumably is  limited,  given  their  great  mobility  and 
preference  for  unsilted  algae  with  high  food  levels 
(Marx  and  Herrnkind  1985b;  Herrnkind  and  But- 
ler 1986).  We  found  that  prey  abundances  were 
significantly  lower  in  silted  algae.  Thus,  even  if 
pueruli  settle  in  the  silted  habitat  the  subsequent 
juveniles  may  leave  to  obtain  adequate  food.  Fre- 
quent interclump  movement  by  juvenile  spiny 
lobsters,  searching  either  for  food  or  unsilted 
habitat,  would  predictably  result  in  increased 
predatory  mortality.  Susceptibility  to  predation 
is  much  greater  for  juveniles  in  the  open,  than  it 
is  for  individuals  amidst  algal  clumps  or  dense 
seagrass  (Herrnkind  and  Butler  1986).  Thus,  ju- 
venile residency  patterns  and  susceptibility  to 
predation  may,  in  addition  to  locally  low  settle- 
ment, contribute  to  the  paucity  of  lobsters  in  the 
silted  habitat. 

The  algal-bound  silt  load  at  No  Name  Key  was 
roughly  twice  that  at  Burnt  Point  where  spiny 
lobster  recruitment  was  considerable.  Our  cur- 
sory surveys  from  Key  Largo  to  Boca  Chica  Key 
indicate   that   similar  silt   levels   are   common. 


though  geographically  variable  in  Florida  Bay. 
Benthic  algae,  including  La//re/icm  spp.,  serve  as 
sediment  traps  (Scoffin  1970)  and  demonstrate  a 
remarkable  resistance  to  siltation,  growing  pro- 
fusely even  in  heavily  silted  areas.  Silt  in  these 
areas  is  primarily  calcareous,  most  of  it  probably 
a  byproduct  of  sediment  processing  by  deposit 
feeding  shrimp  (particularly  Callianassa),  an- 
nelids, and  sea  cucumbers. 

We  did  not  evaluate  the  geographic  extent  of 
siltation  relative  to  spiny  lobster  settlement  in 
Florida  Bay.  However,  the  demonstrated  aver- 
sion to  settling  in  naturally  silted  algae,  charac- 
teristic of  the  region  around  No  Name  Key, 
strongly  suggests  that  low  postlarval  recruitment 
and  juvenile  abundances  would  occur  in  similar 
conditions  elsewhere.  The  sparse  juvenile  popula- 
tion at  our  silted  site,  one-tenth  that  of  the  un- 
silted site,  suggests  deleterious  impact  of  high 
chronic  silt  levels  in  areas  of  potential  recruit- 
ment. Human  activities  also  cause  siltation  (Mor- 
ton 1977;  Allen  and  Hardy  1980).  We  noted  that 
algal  stands  adjacent  to  heavily  trafficked  boat 
channels  typically  were  more  heavily  silted  than 
adjacent  areas.  We  suspect  the  effect  of  manmade 
siltation  to  be  similar  to  that  from  natural  causes. 
Although  it  is  now  generally  accepted  that  Flor- 
ida Bay  shallows  serve  as  the  main  nursery 
grounds  for  the  south  Florida  spiny  lobster  popu- 
lation (Marx  1986),  the  regional  distribution  of 
settlement  and  early  juvenile  habitation  remains 
to  be  mapped.  Future  wide-area  surveys  by  con- 
cerned researchers  and  agencies  should  include 
sampling  of  new  spiny  lobster  recruits  as  well  as 
silt  levels.  Meanwhile,  sizable  human  activities 
such  as  channel  construction,  dredging,  spoil 
dumping,  coastal  development,  and  mineral  min- 
ing must  be  viewed  as  potentially  deleterious  to 
spiny  lobster  recruitment. 

ACKNOWLEDGMENTS 

We  thank  the  Sea  World  Center  for  Marine  Sci- 
ence and  Conservation  on  Long  Key,  FL,  for  logis- 
tical support  and  the  use  of  their  facilities.  John 
Hunt  and  Jim  Marx  of  the  Florida  Department  of 
Natural  Resources  Marine  Research  Laboratory 
in  Marathon  provided  field  assistance  and  helpful 
advice  throughout  the  project.  Comments  by 
P.  Greenwood,  D.  Wilber,  and  two  anonymous  re- 
viewers substantially  improved  the  manuscript. 
This  research  was  supported  by  a  Sea  Grant 
award  (R/LR-B-16)  to  W.  F.  Herrnkind.  Addi- 
tional support  was  provided  M.  J.   Butler  via 


337 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Marine  Science  Fellowships  from  the  Aylesworth 
Foundation  and  the  International  Women's  Fish- 
ing Association  (IWFA). 

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venile spiny  lobsters,  Panulirus  argus:  food  and  shel- 
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Morton,  J.  W. 

1977.  Ecological  effects  of  dredging  and  dredge  spoil  dis- 
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Pap.  No.  94,  Wash.,  DC. 

Pearson,  T  H  ,  and  R  Rosenberg 

1978.  Macrobenthic  succession  in  relation  to  organic  en- 
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Pottle,  R  A .  and  R  W  Elner 

1982.  Substrate  preference  behavior  of  juvenile  American 
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Rhoads,  D  C 

1974.     Organism-sediment     relations     on     the     muddy 
seafloor.     Oceanogr.  Mar.  Biol.  Annu.  Rev.  12:263-300. 
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1971.     Animal-sediment  relations  in  Cape  God  Bay,  Mas- 
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(Holothuroidea).     J.  Mar.  Biol.  11:266-261. 
Roach,  S  G 

1983.  Survivorship,  growth,  and  behavior  of  juvenile  lob- 
sters Homarus  americanus  Milne-Edwards  in  controlled 
environments  in  nature.  Nova  Scotia  Dep.  Fish.  Mar. 
Res.  Tech.  Rep.  Ser.  83-02,  60  p. 

RUELLO.  N  V 

1973.  Burrowing,  feeding,  and  spatial  distribution  of  the 
school  prawn  Metapenaeus  macleayi  (Haowell)  in  the 
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SCOFFIN,  T  p. 

1970.     The  trapping  and  binding  of  subtidal  carbonate  sed- 
iments by  marine  vegetation   in   Bimini   Lagoon,   Ba- 
hamas.    J.  Sediment  Petrol.  40:249-273. 
SULKIN,  S  D 

1986.  Application  of  laboratory  studies  of  larval  behavior 
to  fisheries  problems.  Can.  J.  Fish.  Aquat.  Sci.  11:2184— 
2188. 

WiTHAM,  R  ,  R  M   iNGLE,  AND  H  W  SiMS  jR. 

1964.     Notes  on  postlarvae  o{ Panulirus  argus.     Q.  J.  Fla. 

Acad.  Sci  27:289-297. 
WiTHAM,  R  ,  R  M  iNGLE,  AND  E  A  JOYCE  jR 

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338 


A  LIMITED  INFORMATION  APPROACH  FOR 
DETERMINING  CAPITAL  STOCK  AND  INVESTMENT  IN  A  FISHERY^ 

James  E  Kirkley^  and  Dale  E.  Squires^ 

ABSTRACT 

There  have  been  few  empirical  studies  on  the  level  of  capitalization  and  investment  in  fisheries 
because  the  necessary  data  are  often  inadequate.  Specifically,  data  on  capital  stock  and  investment 
in  a  fishery  are  not  routinely  collected  and  compiled  or  are  limited  in  scope.  In  this  study,  a  method 
is  provided  for  estimating  the  aggregate  capital  stock  and  investment  in  a  fishery  utilizing  the 
available  information.  Data  on  acquisition  and  list  prices  and  vessel  characteristics  for  a  sample  of 
New  England  vessels  are  obtained.  The  data  are  then  used  to  estimate  an  hedonic  cost  function  which 
specifies  the  acquisition  price  as  a  function  of  vessel  characteristics.  The  resultant  equations  are 
subsequently  used,  with  information  on  vessel  characteristics  for  all  New  England  vessels,  to  esti- 
mate aggregate  capital  stock  and  investment.  The  results  indicate  that  substantial  investment  oc- 
curred in  the  otter  trawl  and  scallop  dredge  fisheries,  particularly  since  the  Magnuson  Fisheries 
Conservation  and  Management  Act.  Moreover,  the  results  demonstrate  that  the  number  and  change 
in  the  number  of  vessels  are  inadequate  indicators  of  the  level  of  capital  stock  and  investment  in  a 
fleet  comprised  of  vessels  with  heterogeneous  characteristics. 


The  common  property  nature  of  fisheries  is  recog- 
nized as  causing  excess  capitalization  and  har- 
vesting capacity  (Gordon  1954).  The  theoretical 
argument  is  that  since  fishermen  do  not  have  to 
pay  for  the  utilization  of  common  property  fish 
stocks,  new  vessels  enter  a  fishery  until  net  rev- 
enue is  driven  to  zero.  This  common-property  fea- 
ture results  in  more  capital  and  investment  than 
is  economically  optimum.  Public  regulation  of 
fishing  industries  is  usually  advocated  to  redress 
the  excess  entry,  economic  inefficiency,  and  loss 
of  economic  rents  in  a  common  property  fishery 
(Scott    1979;    Sissenwine    and    Kirkley    1982). 

In  essence,  overcapitalization  and  excess  in- 
vestment are  perceived  to  be  the  reasons  for  many 
of  the  major  fisheries  problems  (Hilborn  1983). 
Economists  argue  that  management  of  overcapi- 
talization is  necessary  to  realize  the  benefits  of 
fisheries  (Cunningham  et  al.  1985).  Alterna- 
tively, gains  from  fisheries  management  require 
control  of  overcapitalization  and  excess  invest- 
ment (Charles  1983a,  b). 

Clark  et  al.  (1979)  and  Charles  (1983a,  b)  ex- 
tended the  static  theory  of  optimal  fisheries  in- 
vestment as  developed  by  Gordon  (1954).  They 


^Virginia  Institute  of  Marine  Science  (VIMS)  Contribution 
No.  1467. 

^College  of  William  and  Mary,  Schools  of  Marine  Science  and 
Business  Administration,  Gloucester  Point,  VA  23062. 

3Southwest  Fisheries  Center  La  Jolla  Laboratory,  National 
Fisheries  Service,  NOAA,  P.O.  Box  271,  La  Jolla,  CA  92038. 


also  demonstrated  the  relationships  between  in- 
vestment, capital  stock,  overexploitation,  and 
fisheries  management.  They  concluded  that  in- 
vestment should  be  more  conservative  to  prevent 
overexploitation. 

The  economic  literature  provides  substantial 
justification  for  the  need  to  solve  the  problems  of 
overcapitalization  and  excess  investment.  Yet, 
few  empirical  studies  document  the  level  of  capi- 
talization and  investment."*  Moreover,  there  ap- 
pears to  be  no  attempt  by  any  U.S.  agency  to 
routinely  collect  and  compile  statistics  on  either 
the  stock  of  capital  or  the  level  of  investment  in 
U.S.  fisheries.  Overcapitalization  and  excess  in- 
vestment, though,  continue  to  be  suggested  as  the 
reasons  for  many  of  the  economic  problems  of 
fisheries. 

Since  data  are  often  inadequate,  many  empiri- 
cal studies  on  fisheries  consider  capital  stock  and 
investment  in  terms  of  the  number  of  vessels. 
That  is,  capital  stock  and  investment  in  a  fishery 
are  tyically  measured  in  terms  of  number  of  ves- 
sels. In  the  absence  of  appropriate  information, 
the  number  of  vessels  may  be  the  only  basis  for 
examining  overcapitalization  and  excess  invest- 
ment. Alternatively,  if  a  fleet  has  identical-sized 
vessels,  fixed  inputs  or  vessel  characteristics,  and 


Manuscript  accepted  February  1988. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


'•Tettey  et  al.  ( 1986)  provided  an  exception,  but  their  analysis 
is  restricted  to  the  shrimp  fishery  and  is  based  on  cost  data 
obtained  from  boat  builders. 


339 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


gear,  the  number  of  vessels  may  be  used  to  indi- 
cate the  stock  of  capital  and  investment.  How- 
ever, Kendrick  (1961)  demonstrated  that  the  total 
number  of  operating  units,  such  as  the  number  of 
plants,  is  an  inadequate  measure  of  capital  stock. 
Also,  few  fleets  have  identical-sized  vessels,  char- 
acteristics, or  gear.  As  a  consequence,  the  number 
of  vessels  does  not  provide  adequate  information 
to  indicate  the  level  of  capitalization  and  invest- 
ment. 

This  study  presents  an  approach  for  estimating 
the  aggregate  or  industry  level  of  capital  stock 
and  investment  in  a  fishery  comprised  of  hetero- 
geneous vessels  using  available  information. 
Data  available  include  acquisition  and  list  prices 
for  some  but  not  all  vessels  and  boat  characteris- 
tics for  all  vessels  in  a  fleet.  The  approach  was 
developed  and  used  to  obtain  estimates  of  capital 
stock  in  support  of  the  United  States  and  Cana- 
dian maritime  boundary  dispute.  It  is  viewed  as 
an  initial  step  towards  examining  the  problems  of 
excess  capitalization  by  providing  estimates  of 
aggregate  capital  stock  and  investment. 

THE  DEFINITION  AND  MEASUREMENT 
OF  CAPITAL  AND  INVESTMENT 

Capital 

The  concept  of  capital  has  created  problems  for 
economists  for  quite  some  time.  The  term  has 
been  used  in  so  many  different  contexts  that  it  is 
a  source  of  enormous  confusion  (Hirshleifer 
1970).  Sloan  and  Zurcher  (1968),  in  their 
"Dictionary  of  Economics",  define  capital  as  "One 
of  the  major  factors  of  production  consisting  of 
property  from  which  an  income  is  derived,  ex- 
pressed in  terms  of  money.  Popularly,  the  term  is 
frequently  used  interchangeably  with  capital 
good.  A  distinction  is  sometimes  made  between 
money  capital,  or  that  part  of  the  capital  held  in 
the  form  of  money  and  bank  deposits,  and  prop- 
erty capital,  or  that  part  of  the  capital  held  in  the 
form  of  evidences  of  ownership  such  as  stocks, 
bonds,  and  mortages." 

Hirshleifer  (1970)  presented  three  meanings  of 
capital:  1)  real  capital  or  capital  stock,  2)  capital 
value,  and  3)  liquid  capital.  Real  capital  is  de- 
fined as  a  collection  of  capital  goods  or  an  aggre- 
gate of  heterogeneous  capital  inputs.  It  is  one  of 
the  major  productive  commodities  or  economic 
factors  of  production.  Capital  value  is  the  net  dis- 
counted value  of  expected  future  income  streams 
associated  with  a  capital  good.  Liquid  capital  is 


the  level  of  current  funds  available  or  intended 
for  investment. 

In  the  case  of  fisheries,  real  capital  or  capital 
stock  is  the  form  of  capital  which  should  be  exam- 
ined with  respect  to  the  problems  of  overcapital- 
ization and  excess  harvesting  capacity.  It  is  the 
relevant  measure  of  capital  goods  used  or  avail- 
able for  production  (National  Academy  of  Sci- 
ences 1979).  Moreover,  capital  stock  is  the  con- 
cept of  capital  used  to  define  and  measure  the 
services  of  capital  inputs  which  are  required  to 
harvest  fish;  that  is,  it  is  the  concept  of  capital 
required  to  define  the  economic  production  tech- 
nology of  a  fishery.  Thus,  this  study  is  concerned 
with  the  concept  of  real  capital  stock. ^ 

The  measurement  of  capital  stock  in  a  fishery, 
however,  presents  several  problems.  First,  capital 
inputs  are  usually  quite  heterogeneous  and  can- 
not be  easily  aggregated  without  restrictive  as- 
sumptions about  the  form  of  the  catch  equation  or 
fishermen's  behavior.  Conceptually,  it  should  be 
possible  to  combine  all  the  different  types  of  capi- 
tal goods  by  weighting  each  type  by  its  average 
compensation  (i.e.,  the  rental  price).  However,  in- 
formation at  this  level  of  detail  is  typically  not 
available.  Second,  fisheries  agencies,  particularly 
in  the  United  States,  generally  do  not  collect  and 
compile  information  necessary  to  calculate  capi- 
tal stock  and  investment.  Third,  in  order  to  com- 
pare changes  in  capital  stock  over  time,  the  meas- 
ure of  capital  stock  must  be  converted  to  some 
base  period  value  by  deflation. 

In  empirical  economic  studies  of  traditional  in- 
dustries, the  common  practice  is  to  measure  the 
capital  input  or  stock  by  converting  the  purchase 
or  acquisition  price  or  the  book  values  of  capital  to 
base  period  values  by  the  use  of  a  price  index 
(National  Academy  of  Sciences  1979).  Varian 
(1984)  noted:  "The  usual  procedure  is  to  measure 
capital  value  and  then  deflate  by  a  price  index;  in 
some  sense,  this  should  measure  the  level  of  cap- 
ital stock."  In  this  study,  the  acquisition  price  is 
used  as  the  measure  of  the  stock  of  capital  or 
capital  value;  the  real  stock  of  capital  is  obtained 
by  dividing  the  capital  value  by  the  producer 
price  index  for  heavy  machinery. 

Investment 

The  definition  and  measurement  of  investment 
is  more  straightforward  than  is  the  definition  and 


5The  market  value  of  capital,  acquisition  price,  and  cost  of 
capital  are  used  interchangeably  in  this  study. 


340 


KIRKLEY  AND  SQUIRES:  CAPITAL  STOCK  AND  INVESTMENT  IN  A  FISHERY 


measurement  of  capital.  In  simple  terms,  invest- 
ment is  the  exchange  of  money  for  some  form  of 
property.  Although  there  are  several  types  of  in- 
vestment (Branson  1972),  attention  is  restricted 
in  this  study  to  an  examination  of  net  investment 
(i„)  which  is  defined  as  the  difference  between  the 
stock  of  capital  in  two  periods  of  time  (Baumol 
1977).  This  is  the  same  concept  of  investment  ex- 
amined by  Tettey  et  al.  (1986). 

Replacement  investment  is  another  type  of  in- 
vestment. The  sum  of  replacement  investment 
and  net  investment  equals  total  investment.  Re- 
placement investment  is  measured  by  multiply- 
ing the  rate  of  depreciation  times  the  level  of  the 
capital  stock.  Replacement  investment,  however, 
is  not  estimated  in  this  study  since  the  method 
and  rate  of  depreciation  must  be  arbitrarily  as- 
sumed. 

METHOD  OF  ANALYSIS 

The  Hedonic  Approach 

While  the  definition  and  measurement  of  real 
capital  stock  and  investment  are  conceptually 
straightforward,  limited  data  and  heterogeneous 
capital  inputs  complicate  the  measurement  of 
capital  stock  and  investment.  In  particular,  data 
are  usually  only  available  for  a  small  number  of 
vessels  which  are  often  similar  in  their  character- 
istics; these  data  are  inadequate  for  calculating 
actual  or  observed  capital  stock  and  investment 
in  a  fishery.  However,  data  are  available  on  the 
acquisition  price  and  characteristics  of  vessels 
which  permits  estimation  of  the  stock  of  capital 
by  an  hedonic  approach.  In  turn,  estimates  of  cap- 
ital stock  from  the  hedonic  approach  can  be  used 
to  estimate  net  investment  in  a  fishery. 

The  hedonic  approach  hypothesizes  that  the 
price  of  a  commodity  is  influenced  by  its  charac- 
teristics (Rosen  1974).  The  hedonic  price  or  char- 
acteristics function  in  market  equilibrium  re- 
flects both  the  distribution  of  marginal  rates  of 
substitution  over  households  and  the  distribution 
of  marginal  rates  of  transformation  over  firms.  In 
effect,  the  hedonic  hypothesis  states  that  goods 
may  be  valued  for  their  attributes  and  that  im- 
plicit or  hedonic  prices  exist  as  a  function  of  the 
attributes. 

Griliches  (1971)  estimated  hedonic  cost  func- 
tions of  U.S.  automobiles  using  advertised  or  list 
prices  and  actual  transaction  prices.  Griliches, 
however,  was  concerned  with  explaining  quality 
differentials.  Ladd  and  Martin  (1976)  examined 


prices  and  demands  for  input  characteristics 
using  a  Neoclassical  input  characteristics  model. 
Triplett  (1986)  estimated  quality  adjusted  price 
indexes  for  computers.  Thus,  there  is  a  history  of 
deriving  prices  of  commodities  as  a  function  of 
their  characteristics. 

The  hedonic  approach  offers  several  attractive 
properties  for  estimating  capital  stock  in  fishing 
industries.  First,  the  hedonic  method  incorpo- 
rates changes  in  the  quality  of  capital  over  time 
(Triplett  1986).  This  is  because  changes  in  quality 
should  be  reflected  in  vessel  acquisition  prices. 
The  hedonic  approach,  thus,  permits  a  quality  ad- 
justed measure  of  capital  stock  to  be  obtained.  In 
contrast,  vessel  count  ignores  changes  in  the 
quality  of  capital.  Second,  the  hedonic  approach 
allows  easy  aggregation  of  the  heterogeneous  cap- 
ital inputs  frequently  observed  in  a  fishing  fleet 
because  the  heterogeneous  capital  is  measured  by 
value  rather  than  physical  measures. 

In  the  hedonic  approach,  cost  (C)  or  input  price 
may  be  expressed  as  a  function  of  the  associated 
characteristics  of  the  commodity  or  input, 


C  =  f(CHi,  CH2,  ...,CH„)  , 


(1) 


where  C  is  cost,  CH,  is  the  tth  characteristic 
(Braeutigam  et  al.  1982).  The  characteristic  cost 
equation  can  be  obtained  either  from  a  dual  speci- 
fication or  by  determining  the  reduced  form  equi- 
librium equation. 

The  Dual  and  Reduced  Form 

The  dual  specifies  cost  as  a  function  of  input 
prices  and  their  characteristics.  The  partial 
derivative  of  the  dual  cost  function  with  respect  to 
input  prices  yields  the  demand  for  the  inputs  as  a 
function  of  prices  and  input  characteristics.  The 
reduced  form  is  obtained  by  solving  structural 
equations,  equations  which  explain  the  behavior 
and  interrelations  of  endogeneous  variables,  of 
demand  and  supply  for  the  endogeneous  variable, 
price,  in  terms  of  exogeneous  variables  and  dis- 
turbance terms. ^ 

In  this  study,  the  reduced  form  is  directly  speci- 
fied and  estimated  for  two  reasons:  First,  all  of  the 
input  price  data  necessary  for  estimating  a  dual 
are  not  available.  Second,  estimation  of  the  struc- 
tural equations  is  complicated  by  the  need  to  use 
a  limited  dependent  variable  method  of  estima- 


^See  Rosen  (1974)  for  additional  information  on  obtaining 
reduced  form  equations  for  hedonic  prices. 


341 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


tion  since  demand  is  a  discrete  choice,  and  there 
are  individuals  or  firms  which  do  not  purchase  a 
vessel. 

Rather  than  attempt  to  deal  with  these  difTi- 
culties  which  do  not  appear  to  have  widely  ac- 
cepted solutions,  it  is  assumed  that  there  are 
underlying  structural  equations  of  demand  and 
supply  which  permit  the  derivation  of  the  reduced 
form  equation.  Moreover,  the  direct  specification 
and  estimation  of  the  reduced  form  is  the  more 
commonly  used  approach  to  estimate  the  value  of 
a  commodity  as  a  function  of  its  characteristics 
(Bockstael  et  al.  1986).  Last,  the  use  of  the  re- 
duced form  should  not  create  a  problem  since  the 
hedonic  function  is  a  joint  envelope  in  character- 
istic space  of  demander's  bid  schedules  and  sellers 
offer  schedules,  and  thus,  the  observed  implicit 
price  locus  is  a  reduced  form  equilibrium  vector 
reflecting  both  supply  and  demand  influences.  As 
a  result,  shifts  in  both  market  demand  and  supply 
are  incorporated  into  the  reduced  form  equi- 
librium vector. 

The  Capital  Stock  Model 

As  previously  indicated,  it  is  common  practice 
to  use  the  acquisition  price  as  a  measure  of  capital 
stock.  By  the  hedonic  approach,  the  capital  stock 
or  acquisition  price  of  a  fishing  vessel  is  postu- 
lated to  be  a  function  of  several  vessel  character- 
istics. The  following  general  specification  is  con- 
sidered: 

C  =  f(LN,  CS,  YEAR,  FI,  AGE,  DNO,  HPWR,  GRT), 


(2) 


where  C  is  the  list  or  advertised  price  or  the  ac- 
quisition price  of  a  vessel,  LN  is  length,  CS  is  hull 
type  (1  =  steel,  0  =  other),  FI  is  fishery  or  gear 
tj^e,'  AGE  is  age  of  vessel,  DNO  is  a  dummy 
variable  for  new  and  used  vessels  (DNO  =  1  for 
new  and  0  for  used),  HPWR  is  engine  horsepower, 
and  GRT  is  gross  registered  tonnage.  The  vari- 
able year  equals  the  year  of  the  observation.  It  is 
included   to   incorporate   technological   changes 


'^Gear  type  is  an  integer  valued  variable  set  equal  to  the  gear 
codes  used  by  the  Northeast  Fisheries  Center.  This  may  influ- 
ence the  results  similarly  to  the  use  of  nonbinary  dummy  vari- 
ables (Kmenta  1971).  The  use  of  this  variable  implies  that  the 
cost  difference  between  gear  types  is  equal  to  a  scalar  multiple 
of  the  lowest  integer  valued  gear  code.  Thus,  statistical  rejection 
of  cost  differences  due  to  gear  type  is  actually  a  rejection  of 
differences  not  being  equal  to  scaleir  multiples.  However,  the 
large  number  of  gear  codes  prohibits  their  separate  treatment. 


over  time,  such  as  the  introduction  of  electronics 
and  stern  trawling,  and  structural  changes  in  the 
industry  such  as  changes  in  organization  of  capi- 
tal and  fish  markets  and  changes  in  public  regu- 
lation. 

Functional  Form 

Several  functional  forms  could  be  specified  for 
Equation  (2).  Alternatively,  generalized  Box-Cox 
(Box  and  Cox  1962)  transformations  could  be  used 
to  determine  the  functional  form.  However,  the 
selection  of  functional  form  is  mostly  concerned 
with  obtaining  the  relationship  between  the  de- 
pendent variable  and  individual  independent 
variables. This  study  is  primarily  concerned  with 
estimating  the  capital  stock.  Moreover,  it  may  be 
quite  difficult  to  estimate  capital  stock  from  Box- 
Cox  transformations  or  other  functional  forms 
since  the  conditional  expectation  is  often  of  a  com- 
plex form  (Smallwood  and  Blaylock  1986).  Also, 
Dadkhah  (1984)  noted  that  predictions  based 
upon  some  transformations  and  functional  forms 
result  in  biased  predictions  and  asymmetric  confi- 
dence intervals. 

Since  this  study  is  primarily  concerned  with 
estimating  capital  stock  and  investment  rather 
than  estimating  the  implicit  prices  for  character- 
istics, a  linear  functional  form  is  proposed  for 
Equation  (2).  The  capital  stock  equation  is  speci- 
fied as  a  second-order  polynominal  in  order  to 
provide  an  approximation  to  an  unknown,  under- 
lying hedonic  function.  This  is  equivalent  to 
specifying  a  generalized  quadratic  flexible  func- 
tional form  and  imposing  zero  valued  restrictions 
on  the  cross  product  coefficients  or  interaction 
terms  (Lau  1978).  Flexible  functional  forms  are 
widely  used  in  economic  studies  concerned  with 
determining  the  underlying  economic  structure 
because  they  impose  very  little  structure  on  the 
economic  equations  of  concern  (Blackorby  et  al. 
1978). 

Postulated  Relations 

The  postulated  relations  between  cost  and  each 
of  the  explanatory  variables  is  as  follows:  1)  the 
coefficients  for  the  first  order  terms  of  vessel  ton- 
nage, length,  and  engine  horsepower  should  be 
positive  since  costs  should  increase  as  the  size 
characteristics  increase;  2)  the  coefficient  for 
steel-hulled  vessels  should  be  positive  since  steel 
vessels  are  generally  more  expensive  than  wood 
or  fiberglass  vessels;  3)  the  dummy  variable  coef- 


342 


KIRKLEY  AND  SQUIRES:  CAPITAL  STOCK  AND  INVESTMENT  IN  A  FISHERY 


ficient  for  new  vessels  should  be  positive  since 
new  vessels  tend  to  cost  more  because  they  are 
newer  and  usually  incorporate  more  recent  tech- 
nological advances;  4)  the  second-order  coeffi- 
cients for  the  size  characteristics  are  expected  to 
be  negative  since  cost  is  believed  to  increase  at  a 
decreasing  rate  in  response  to  increases  in  the 
size  of  a  vessel. 

THE  DATA 

Data  used  to  estimate  the  capital  stock  equa- 
tion were  obtained  from  three  sources:  First,  in- 
formation on  vessel  acquisition  price  and  associ- 
ated characteristics  were  obtained  for  164  new 
vessels  from  the  Northeast  Regional  Office  of  the 
National  Marine  Fisheries  Service.^  Second,  data 
on  list  prices  and  vessel  characteristics  for  946 
used  vessels  were  obtained  from  various  trade 
magazines  and  vessel  brokers.  Third,  detailed 
vessel  and  fishery  data  were  obtained  from  the 
U.S.  Coast  Guard  master  vessel  listing  and  the 
Northeast  Fisheries  Center.  Data  were  obtained 
for  the  years  1965  through  1981. 

The  first  two  sets  of  data  were  used  to  estimate 
the  capital  stock  equations.  The  third  data  set 
was  used  to  estimate  aggregate  capital  stock  and 
investment  in  selected  New  England  fisheries 
using  the  estimated  capital  stock  equations;  that 
is,  vessel  characteristics  for  all  of  the  vessels  in 
the  New  England  fleet  were  inserted  into  the  esti- 
mated capital  stock  equations  to  obtain  estimates 
of  capital  stocks  per  vessel  in  a  given  year.  The 
estimated  capital  stock  per  vessel  was  summed 
over  all  vessels  in  a  year  to  obtain  total  or  aggre- 
gate capital  stock.  Net  investment  was  then  cal- 
culated as  the  annual  change  in  total  capital 
stock. 

The  use  of  both  the  list  and  acquisition  prices, 
however,  presents  a  problem.  The  list  price  re- 
flects the  supply  price  or  the  price  at  which  a 
vessel  is  offered  for  sale.  The  acquisition  price 
reflects  the  price  determined  by  the  equilibrium 
between  demand  and  supply.  As  a  consequence, 
estimates  of  capital  stock  and  investment  may  be 
in  error. 

It  is  not  known  by  how  much  the  acquisition 
price  differs  from  the  list  price  for  used  vessels. 
Thus,  the  magnitude  of  the  error  cannot  be  calcu- 
lated. Since  the  list  price  is  not  less  than  the  ac- 
quisition price,  estimates  of  capital  stock  based  on 


Equation  (2)  are  likely  upwards  biased.  Counter 
to  this  problem  is  the  argument  that  by  the  time 
a  vessel  is  ready  for  fishing,  required  capital  mod- 
ifications or  improvements  may  result  in  the  cap- 
ital stock  being  close  in  value  to  the  list  price. 

There  are  no  completely  satisfactory  economic 
justifications  for  using  both  the  list  and  acquisi- 
tion prices.  Two  possible  justifications  are  that 
Griliches  (1971)  and  others  used  both  prices,  and 
capital  improvements  or  modifications  may  be 
nearly  equal  to  the  difference  between  the  list 
and  acquisition  prices.  Another  possible  justifica- 
tion is  the  accepted  use  of  cost  data  obtained  from 
boat  builders  as  in  Griffin  et  al.  (1978)  which  may 
impose  similar  problems  plus  the  statistical  prob- 
lem of  measurement  error.  In  the  remainder  of 
this  paper,  the  term  "acquisition  price"  is  used 
although  the  estimation  and  calculation  of  capital 
stock  and  investment  are  based  on  both  price 
series. 

EMPIRICAL  RESULTS 

Equation  (2)  was  estimated  by  ordinary-least- 
squares  with  the  dependent  variable,  the  acquisi- 
tion price,  measured  in  both  nominal  and  real 
terms;  the  real  price  is  the  nominal  price  deflated 
by  the  producer  price  index  for  heavy  machinery. 
As  previously  stated,  deflation  is  necessary  to  es- 
timate the  real  capital  stock.  The  estimated  coef- 
ficients and  statistical  results  are  presented  in 
Tables  1  and  2. 

Equation  (2),  however,  was  also  estimated 
using  data  for  several  groups  of  years  between 
1965  and  1981.  The  reason  for  considering  differ- 
ent time  periods  was  that  prior  knowledge  of  New 
England  fisheries  suggested  that  various  changes 
occurred  in  the  fisheries  during  the  selected  time 
periods.^  Moreover,  economic  studies  of  New  Eng- 
land fisheries  have  often  been  criticized  for  as- 
suming stable  relationships  over  time  or  over  dif- 
ferent cross  sectional  units.  Failure  to  incorporate 
changes  in  the  estimated  relationship  between 
cost  and  vessel  characteristics  over  time  may  re- 
sult in  biased  parameter  estimates. 

Changes  which  have  possible  ramifications  for 
the  estimated  relationships  include  1)  depressed 
resource  conditions  and  the  presence  of  foreign 
fishing  between  1965  and  1971;  2)  management 
by  the  International  Commission  for  Northwest 


^Data  are  confidential  and  may  not  be  available  to  other  re- 
searchers or  the  general  public. 


^Additional  information  on  possible  structural  changes  in 
New  England  fisheries  is  available  in  Kirkley  et  al.  (1982), 
Dewar  (1983),  Doeringer  et  al.  (1986),  and  Kirkley  (1986). 


343 


FISHERY  BULLETIN:  VOL.  86.  NO.  2 


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344 


KIRKLEY  AND  SQUIRES:  CAPITAL  STOCK  AND  INVESTMENT  IN  A  FISHERY 


Atlantic  Fisheries  and  increased  fuel  prices  be- 
tween 1972  and  1975;  3)  the  formulation  and  im- 
plementaiion  of  the  Fisheries  Conservation  and 
Management  Act  in  1976  and  1977;  4)  extremely 
restrictive  regulations  in  1978  and  1979;  and  5)  a 
long  dock  strike  in  New  Bedford,  frozen  harbors, 
and  foreign  purchases  from  American  fishermen 
in  1981.  In  addition,  there  was  substantial  entry 
of  new  steel-hulled  vessels  between  1975  and 
1977  and  1979  and  1980. 

Chow  (1960)  tests  of  the  equality  of  regression 
equations  were  conducted  to  further  examine  the 
possibility  that  the  statistical  relationships  be- 
tween cost  and  vessel  characteristics  changed 
over  time.  The  Chow  test  is  an  F-test  of  the  stabil- 
ity of  the  coefficients  (Maddala  1977).  The  results 
of  these  tests  are  presented  in  Table  3. 

The  results  of  the  tests  indicate  that  the  esti- 
mated relationships  between  cost  and  character- 
istics were  not  the  same  for  the  selected  time  peri- 
ods. Alternatively,  the  hypothesis  of  the  equality 
of  the  regression  equations  for  different  periods  of 
time  could  not  be  accepted  at  any  reasonable  level 
of  significance.  However,  these  results  only  verify 
that  different  models  should  be  estimated  for  dif- 


Table  3. — Results  of  tests  for  the  equality  of  regression 
equations. 


Periods 

Critical  values' 

tested 

F-statistic2 

0.05 

0.01 

1965-71 

1972-75 

1976-77 

1978-79 

1980-81 

39.38 

'^12,1050  =  ''•^5 

f^12,1050  = 

2.18 

1965-71 

1972-75 

8.45 

1^12.325  =  ■'•'75 

f^12,325  ^ 

2.18 

1965-75 

1976-81 

20.55 

f^12.1086  =  ''•^5 

f^12.1086  = 

2.18 

1965-75 

1976-79 

21.33 

1^12.668  =  ■'■''5 

'^12.668  = 

2.18 

1976-77 

1978-79 

3.60 

'^12,329  =  l-^S 

'^12,329  = 

2.18 

1976-77 

1978-81 

3.22 

^12.737  =  l-^S 

f^1 2.737  = 

2.18 

1976-79 

1980-81 

3.35 

f^12.737  =  ■'•75 

f^12.737  = 

2.18 

1980 

31981 

2.76 

f^12,384  =  "I -^5 

f^l2,384  = 

2.18 

'F-statistIc  for  denominator  degrees  of  freedom  equal  to  infin- 
ity. 

^Restricted  residual  sum  of  squares  obtained  by  pooling  data 
over  all  time  periods  and  estimating  Equation  (2).  Unrestncted 
residual  sum  of  squares  obtained  by  estimating  Equation  (2)  for 
each  penod  being  examined  and  then  adding  the  residual  sum 
of  squares  for  each  equation. 

^Residual  sum  of  squares  obtained  from  estimating  Equation 
(2)  without  the  time  vanable 


ferent  periods  of  time.  They  are  not  conclusive 
proof  of  the  selection  of  the  years  for  a  particular 
group  of  years.  A  more  accurate  determination  of 
the  years  to  be  included  in  each  group  requires 
considerably  more  estimation  and  hypothesis 
testing  which  is  beyond  the  intent  of  this  study. 

As  indicated  by  the  ^-statistics  in  Tables  1  and 
2,  the  age  of  the  vessel,  whether  or  not  the  vessel 
is  new  or  used,  and  the  size  characteristics  appear 
to  be  the  more  statistically  significant  explana- 
tory variables.  These  results  are  consistent  with 
the  results  of  Griffin  et  al.  (1978).  The  statisti- 
cally significant  negative  coefficients  for  the  size 
characteristics  during  the  years  1972-75  are  par- 
ticularly interesting.  These  years  coincide  with 
the  Arab  oil  embargo  when  fuel  prices  increased; 
expected  increases  in  future  operational  costs 
may  have  deterred  new  entry.  The  results  also 
indicate  that  the  value  of  a  vessel  declines  as  it 
becomes  older.  The  coefficient  for  hull  construc- 
tion, CS,  suggest  that  steel-hulled  vessels  are 
more  expensive  than  are  those  of  other  materials 
such  as  fiberglass,  ferro  cement,  wood,  and  alu- 
minum. There  does  not  appear  to  be  a  difference 
in  the  value  of  a  vessel  based  on  gear  type.  This 
may  be  a  result  of  specification  problems  with  the 
dummy  variable  for  gear  t)^e  (see  footnote  7). 

It  is  of  further  interest  to  examine  the  elastic- 
ities of  cost  with  respect  to  the  vessel  characteris- 
tics. ^°  These  are  presented  in  Table  4.  As  indi- 
cated, vessel  tonnage,  length,  and  age  have  the 
greatest  influence  on  the  acquisition  price.  The 
elasticity  for  length  is  consistent  with  the  manner 
in  which  vessels  are  sold;  that  is,  vessel  prices  are 
largely  stated  in  terms  of  their  length. 

There  are,  however,  inconsistences  in  the  esti- 
mated capital  stock  equations  and  elasticities.  In 


'0  Elasticities  indicate  the  p)ercentage  change  in  cost  result- 
ing from  a  1%  change  in  the  value  of  a  characteristic. 


Table  4. — Estimated  elasticities  of  cost  with  respect  to 
vessel  characteristics.' 


Elasticities 

Year 

GRT2 

HPWR 

LN 

AGE 

1965-71 

0.43 

0.06 

2.88 

-0.32 

1972-75 

0.78 

-0.04 

-0.08 

-0.08 

1976-77 

1.14 

0.09 

0.11 

-0.11 

1978-79 

-0.14 

0.30 

2.38 

-0.40 

1980 

0.16 

0.30 

1.43 

-0.30 

1981 

-0.64 

0.56 

2.38 

-0.41 

'  Elasticities  based  on  nominal  estimates  and  observed  mean 
values  of  cost  and  vessel  charactenstlcs. 

2GRT  is  gross  registered  tonnage;  HPWR  is  engine  horse- 
power; LN  is  lengtti;  AGE  is  age  ol  vessel. 


345 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


particular,  not  all  of  the  estimated  coefficiencts 
have  the  desired  or  expected  sign.  For  example, 
the  coefficient  for  tonnage  in  the  1981  estimate  is 
negative  and  that  for  the  square  of  tonnage  is 
positive.  In  contrast,  a  positive  coefficient  for  ton- 
nage was  expected  since  vessel  cost  should  in- 
crease with  vessel  tonnage,  and  the  coefficient  for 
tonnage  squared  was  expected  to  be  negative  be- 
cause vessel  costs  are  believed  to  increase  at  a 
decreasing  rate. 

The  incorrect  signs  could  be  the  result  of  multi- 
collinearity  between  vessel  characteristics.  Aux- 
iliary regressions,  though,  do  not  indicate  severe 
multicollinearity.  The  R^  values  are  <0.35.  If 
multicollinearity  is  a  problem,  its  major  effect  is 
on  the  estimated  relationships  between  cost  and 
individual  characteristics,  the  estimated  elastic- 
ities, and  the  previously  discussed  Chow  tests. 

Multicollinearity  is  not  thought  to  be  a  problem 
for  several  reasons.  First,  Chow  tests  in  the  pres- 
ence of  multicollinearity  usually  result  in  the  ac- 
ceptance of  the  null  hypothesis  of  the  equality  of 
regression  equations  or  that  differences  in  the  es- 
timated coefficients  are  statistically  insignificant 
(Maddala  1977).  Second,  multicollinearity  does 
not  pose  a  problem  for  estimating  capital  stock 
and  investment;  the  estimated  equations  still  per- 
mit estimation  of  the  conditional  mean.^^ 


11  For  additional  information  on  the  problems  of  multi- 
collinearity with  respect  to  analysis  and  prediction,  see  Kmenta 
(1971). 


The  equations  for  the  real  or  deflated  value  of 
capital  were  used  to  estimate  total  capital  stock 
and  investment  for  the  New  England  fleet  be- 
tween 1965  and  1981.  The  real  capital  stock  equa- 
tions were  applied  to  vessel  data  available  from 
the  Northeast  Fisheries  Center,  and  total  capital 
stock  was  calculated  as  the  sum  of  the  stock  over 
all  vessels.  Aggregate  net  investment  was  calcu- 
lated as  the  difference  in  total  capital  stock  be- 
tween consecutive  years. 

Prior  to  estimating  total  capital  stock  and  in- 
vestment, it  was  necessary  to  define  vessel  type 
by  gear  to  avoid  double  counting  which  might 
occur  since  vessels  frequently  switch  port  and 
gear.  Three  categories  of  gear  types  were  estab- 
lished: 1)  otter  trawl,  2)  scallop  dredge,  and  3)  all 
others,  which  include  lobster  trawl  and  pots,  her- 
ring gear,  harpoons,  etc.  Vessels  were  assigned  a 
gear  type  based  on  a  plurality  of  days  at  sea.  Esti- 
mates of  capital  stock  and  investment  are  pre- 
sented in  Table  5. 

Several  limitations  should  be  considered  when 
evaluating  the  estimates.  First,  there  is  the  previ- 
ously discussed  problem  that  estimates  of  capital 
stock  may  be  biased  or  overestimated.  Second, 
estimates  are  only  for  New  England  vessels  or 
those  which  are  believed  to  be  homeported  in  New 
England.  Third,  the  capital  stock  and  investment 
series  pertain  to  New  England  and  not  the  United 
States;  that  is,  estimates  should  not  be  inter- 
preted as  net  changes  in  the  capital  stock  and 
investment    in    U.S.    fisheries.    Fourth,    under- 


Table  5. — Estimates  of  real  capital  stock  and  investment  in  New  England  harvest- 
ing sector,  1965-81.1 


Number 

of 
vessels 

Capital  stock 

Investment 

Index 

of 

investment 

Year 

Trawl 

Dredge 

Other 

Trawl 

Dredge 

Other 

-  $  Millie 

inc    --_--. 

Mio ■ 

1965 

594 

25.96 

16.29 

1.98 

1966 

619 

28.84 

14.75 

2.82 

2.88 

-1.54 

0.84 

100 

1967 

628 

39.37 

11.42 

1.63 

10.53 

-3.33 

-1,19 

276 

1968 

610 

28.65 

15.43 

1.68 

-10.72 

4.01 

0.05 

-301 

1969 

602 

29.22 

12.92 

1.29 

0.57 

-2.51 

-0.39 

-107 

1970 

607 

25.61 

8.29 

1.37 

-3.61 

-4.63 

0,08 

-374 

1971 

620 

23.65 

12.80 

1.47 

-1.96 

4.51 

0,10 

122 

1972 

655 

27.01 

7.74 

4.70 

3.36 

-5.06 

3,23 

70 

1973 

666 

28.42 

7.12 

5.13 

1.42 

-0.62 

0,43 

56 

1974 

695 

21.26 

4.19 

6.40 

-7.17 

-2.93 

1,27 

-405 

1975 

737 

29.04 

5.15 

8.48 

7.78 

0.96 

2.08 

496 

1976 

783 

20.73 

7.72 

8.16 

-8.31 

2.57 

-0.32 

-278 

1977 

836 

28.86 

14.19 

7.86 

8.13 

6.47 

-0.30 

656 

1978 

881 

37,45 

12.85 

8.65 

8.59 

-1.34 

0,79 

369 

1979 

1,107 

45.41 

27.30 

11.25 

7,96 

14.45 

2,60 

1147 

1980 

1,260 

52.26 

34.30 

11.69 

6.85 

7.00 

0,44 

656 

1981 

1,246 

43.35 

30.15 

11.60 

-8.91 

-4.15 

-.09 

-603 

'Real  Investment  and  capital  are  deflated  with  producer  pnce  Index  for  tieavy  machinery, 
1967  =  100. 


346 


KIRKLEY  AND  SQUIRES:  CAPITAL  STOCK  AND  INVESTMENT  IN  A  FISHERY 


tonnage  vessels  or  those  which  are  <5  gross 
registered  tons  are  excluded  since  data  are 
unavailable;  thus,  total  capital  stock  and  invest- 
ment in  New  England  fisheries  are  underesti- 
mated. 

Despite  these  limitations,  the  results  provide 
information  on  investment  and  capital  stock  in 
New  England  fisheries  which  has  not  been  avail- 
able. As  is  characteristic  of  open-access  fisheries, 
investment  in  New  England  fisheries  appears  to 
have  increased  over  time.  This  is  quite  evident 
subsequent  to  the  passage  of  the  Magnuson  Fish- 
eries Conservation  and  Management  Act  of  1976. 
While  possibly  true,  the  observation  that  invest- 
ment increased  when  the  act  was  passed  should 
not  be  construed  to  imply  that  the  act  was  respon- 
sible for  increased  investment.  Positive  expecta- 
tions regarding  fish  stocks  or  economic  conditions 
could  also  be  responsible  for  increases  in  capital 
stock  and  investment. 

The  largest  increase  in  investment  occurred  in 

1979  which  coincided  with  the  greatest  influx  of 
vessels.  It  also  coincided  with  increased  fish 
stocks  in  1978  and  1979  and  high  vessel  profits  of 
the  previous  year.  In  1979,  226  vessels  entered 
the  New  England  fisheries;  92  vessels  were  newly 
constructed. 

Disinvestment  also  occurred,  but  the  reasons 
are  unknown.  ^^  Disinvestment  may  be  associated 
with  vessel  sinkings,  foreclosures  on  vessel  mort- 
gages, and  exit  from  the  region.  Alternatively,  if 
vessel  prices  reflect  the  expected  net  discounted 
present  value  of  earnings  from  a  fishery,  the  dis- 
investment or  even  changes  in  investment  may 
be  due  to  changes  in  economic  expectations.  Dis- 
investment occurred  between  1968  and  1970, 
1974,  1976,  and  in  1981. 

Disinvestment  between  1968  and  1970  may  re- 
flect expectations  of  declining  future  earnings. 
Disinvestment  in  1974  may  reflect  the  effects  of 
high  fuel  prices.  Disinvestment  in  1976  and  1981 
may  be  associated  with  fishermen's  expectations 
of  declining  fish  stocks,  the  effects  of  manage- 
ment, and  high  fuel  prices. 

The  reasons  for  investment  are  also  unknown. 
Increasing  levels  of  investment  between  1977  and 

1980  may  be  due  to  economic  expectations  associ- 
ated with  fisheries  management,  fish  stocks,  and 
future  earnings. 

The  real  capital  stock  increased  approximately 
6%  per  year  between  1965  and  1981.  The  largest 


increase  occurred  in  1978  and  1979  when  there 
was  a  substantial  increase  in  the  number  of  new 
steel-hulled  vessels  and  entry  of  vessels  from  the 
mid-Atlantic  region.  Capital  stock  declined  in 
1981  when  some  of  the  mid-Atlantic  vessels  left 
New  England  and  the  stocks  of  fish,  particularly 
sea  scallops,  declined  (Northeast  Fisheries  Cen- 
ter 1985). 

The  results  also  indicate  why  a  vessel  count 
should  not  be  used  to  indicate  capital  stock  or 
investment.  The  number  of  vessels  increased  be- 
tween 1969  and  1970  and  1975  and  1976,  but 
investment  decreased  in  1970  and  1976  (Table  6). 
Alternatively,  the  number  of  vessels  increased  in 
each  year  relative  to  1965,  but  the  real  capital 
stock  between  1969  and  1976  declined  with  re- 
spect to  1965. 


Table  6. — Indices  of  capital  stock  based  on  constant  dollar  value 
and  vessel  count. 


Capital  stock 

Constant  dollar  value 

Vessel  count 

Year 

Trawler! 

Dredge' 

Total 

Trawler! 

Dredge! 

Total 

1965 

100 

100 

100 

100 

100 

100 

1966 

111 

91 

105 

102 

94 

104 

1967 

152 

70 

119 

109 

77 

106 

1968 

110 

95 

103 

104 

106 

103 

1969 

113 

79 

98 

104 

106 

101 

1970 

99 

51 

80 

108 

74 

102 

1971 

91 

79 

86 

108 

83 

104 

1972 

104 

48 

89 

108 

74 

110 

1973 

109 

44 

92 

105 

79 

112 

1974 

82 

26 

72 

107 

49 

117 

1975 

112 

32 

96 

105 

66 

124 

1976 

80 

47 

83 

109 

202 

132 

1977 

111 

87 

115 

107 

202 

141 

1978 

144 

79 

133 

116 

189 

148 

1979 

175 

168 

190 

137 

313 

186 

1980 

201 

211 

222 

158 

440 

212 

1981 

167 

185 

192 

158 

413 

210 

i2Hirshleifer  (1970)  provided  additional  information  about 
disinvestment. 


'Gear  type  assigned  by  plurality  of  days  absent. 

The  inadequacy  of  using  vessel  count  is  more 
pronounced  when  comparing  the  indices  based  on 
gear  type.  As  shown  in  Table  6,  the  number  of 
trawl  vessels  in  every  year  exceeded  the  number 
of  vessels  in  1965  while  capital  stock  was  less 
than  that  of  1965  for  four  years.  The  two  scallop 
dredge  indices  also  indicate  dissimilar  changes 
between  vessel  count  and  real  capital  stock.  It 
may,  though,  be  possible  than  an  index  based  on 
vessel  count  and  weighted  by  vessel  size  would 
more  closely  compare  to  the  real  capital  stock 
index.  The  construction  of  these  indices  would  re- 
quire considerable  additional  analysis  and  deter- 
mination of  the  weights  necessary  for  aggrega- 
tion. 


347 


FISHERY  BULLETIN;  VOL.  86,  NO.  2 


SUMMARY  AND  CONCLUSIONS 

This  study  developed  procedures  for  estimating 
the  capital  stock  and  net  investment  using  only 
the  information  generally  available.  That  is,  data 
on  acquisition  and  list  prices  for  some  but  not  all 
vessels  and  characteristics  for  most  vessels  in  a 
fleet  were  used  to  estimate  capital  stock  and  in- 
vestment in  a  fishery.  An  hedonic  approach  which 
specified  the  acquisition  price  as  a  function  of  ves- 
sel characteristics  was  suggested  as  a  possible 
method  for  obtaining  information  necessary  for 
estimating  capital  stock  and  net  investment.  It 
was  argued  that  the  approach  was  consistent  with 
procedures  used  by  economists  to  estimate  the 
capital  stock  and  investment  in  traditional  indus- 
tries. 

Estimates  were  based  on  1,110  observations  ob- 
tained from  NMFS  and  classified  advertisements 
for  the  period  1965-81.  Vessel  characteristics 
pertaining  to  size  and  age  were  shown  to  be  the 
more  significant  characteristics  for  explaining 
the  value  of  a  vessel.  The  corresponding  informa- 
tion was  then  used  to  estimate  the  capital 
stock  and  investment  in  the  New  England  fish- 
eries. 

An  interesting  result  was  that  although  invest- 
ment increased  over  time,  there  also  was  disin- 
vestment in  the  fisheries.  It  was  suggested  that 
this  was  possibly  the  result  of  vessel  sinkings, 
exit  of  vessels  from  the  region,  foreclosures,  and 
expectations  of  declining  future  net  returns. 

It  also  was  demonstrated  that  a  vessel  count 
should  not  be  used  to  indicate  capital  stock  or 
investment.  The  number  of  vessels  generally  in- 
creased over  time,  but  the  level  of  capital  stock 
did  not  coincide  with  these  changes.  This  suggests 
that  more  attention  should  be  given  to  developing 
economic  measures  of  capital  stock  and  invest- 
ment. 

A  question  still  in  need  of  attention,  however, 
cannot  be  answered  from  this  study.  That  is, 
given  the  level  of  investment,  can  an  optimal  uti- 
lization and  allocation  of  resources  be  deter- 
mined. The  answer  is  clearly  no.  This  requires 
management  authorities  to  specify  the  objectives 
of  fisheries  management  and  a  detailed  bioeco- 
nomic  model. 

There  is  a  need  for  more  research  on  invest- 
ment, and  in  particular,  the  determination  of  the 
optimum  rate  of  investment.  This  includes  re- 
search on  the  social  discount  rate,  reasons  for  in- 
vestment, and  the  marginal  productivity  of  capi- 
tal.   More    important,    additional    research    is 


required  to  better  address  the  issues  of  fisheries 
management,  particularly  whether  or  not  public 
expenditures  should  be  allocated  to  managing 
fisheries. 

ACKNOWLEDGMENTS 

Comments  by  William  DuPaul,  Wade  Griffin, 
Ray  Hilborn,  Maurice  Lynch,  Ivar  Strand,  and 
two  anonymous  reviewers  are  gratefully  ac- 
knowledged. Any  errors  remain  the  responsibil- 
ity of  the  authors.  The  article  does  not  necessarily 
reflect  the  opinion  of  either  the  National  Marine 
Fisheries  Service  or  the  Virginia  Institute  of 
Marine  Science. 


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Gordon,  H  S. 

1954.       The  economic  theory  of  a  common  property  re- 
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C  M  Adams. 

1978.     Costs  and  returns  data:  Texas  shrimp  trawlers. 
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1971.     Hedonic  price  indexes  for  automobiles:  an  econo- 
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HILBORN.  R. 

1985.  Fleet  dynamics  and  individual  variation:  why  some 
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Hirshleifer.  J. 

1970.  Investment,  interest  and  capital.  Prentice-Hall, 
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Kendrick,  J 

1961.     Some  theoretical  issues  in  capital  measurement. 
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1971.  Elements  of  econometrics.  Macmilliam  Publish- 
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KiRKLEY,  J  E ,  M  P  Pennington,  and  B.  E.  Brown. 

1982.    A  short-term  approach  for  analyzing  the  effects  of 
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KiRKLEY,  J.  E 

1986.  The  relationship  between  management  and  the 
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Ladd,  G  W  .  AND  M  B  Martin. 

1976.  Prices  and  demands  for  input  characteristics.  Am. 
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Lau,  L  J 

1978.  Applications  of  profit  fiinctions.  In  M.  Fuss  and 
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Maddala.  G  S. 

1977.    Econometrics.     McGraw-Hill  Book  Company,  N.Y. 
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1979.  Measurement  and  interpretation  of  productivity. 
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1985.  Status  of  the  fishery  resources  off  the  northeastern 
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Rosen,  S. 

1974.     Hedonic  Prices  and  implicit  markets:product  differ- 
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1979.     Development  of  economic  theory  of  fisheries  regula- 
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Sloan,  H  S.,  and  A.  J.  Zurcher. 

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Smallwood,  D  M.,  and  J.  R.  Blaylock. 

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Triplett,  J 

1986.     The  economic  interpretation  of  hedonic  methods. 
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1984.  Microeconomic  analysis.  2d,  ed.  W.  W.  Norton  & 
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349 


ANALYSES  OF  THE  RELATIONSHIP  BETWEEN 

THE  DISTRIBUTION  OF  SEARCHING  EFFORT,  TUNA  CATCHES,  AND 

DOLPHIN  SIGHTINGS  WITHIN  INDIVIDUAL  PURSE  SEINE  CRUISES 

Tom  Polacheck^ 

ABSTRACT 

The  fine  scale  distribution  of  searching  effort  within  individual  purse  seine  cruises  in  the  eastern 
tropical  Pacific  is  analyzed  in  relationship  to  sightings  of  spotted  dolphin,  Stenella  attenuata,  and 
tuna  catches.  The  data  for  these  analyses  were  derived  from  detailed  observations  made  by  National 
Marine  Fisheries  Service  observers  aboard  U.S.  purse  seiners.  A  clustering  algorithm  is  developed 
which  separates  the  activity  of  a  vessel  into  areas  where  sets  were  common  and  areas  where  they  are 
infrequent.  Within  clusters  of  high  set  densities,  vessels  tend  to  concentrate  their  searching  effort. 
Vessels  searched  proportionately  greater  distances  relative  to  the  physical  distances  between  sets 
while  within  clusters  than  when  outside  clusters.  Encounter  rates  with  schools  of  spotted  dolphins 
tend  to  be  either  much  higher  or  much  lower  within  defined  clusters  than  outside  them.  Clusters  with 
low  encounter  rates  were  clusters  in  which  non-dolphin  associated  tuna  sets  predominated.  Because 
of  this  dichotomy  in  the  magnitude  of  the  dolphin  encounter  rates  within  clusters,  overall  encounter 
rates  appeared  to  have  relatively  small  biases  if  the  concentration  of  searching  effort  within  clusters 
is  ignored.  The  average  catch  of  tuna  per  set  was  higher  within  the  defined  clusters  than  between 
them.  The  overall  results  suggest  that  fine  scale  geographic  effects  need  to  be  considered  when  using 
data  from  purse  seiners  to  examine  changes  in  relative  abundances  of  either  dolphins  or  tuna. 


Catch  and  effort  data  underlie  most  indices  of 
abundances  used  for  assessing  the  status  of  com- 
mercially exploited  fish  stocks.  The  validity  of 
using  catch  and  effort  data  from  commercial  har- 
vests has  long  been  questioned  because  of  the 
likelihood  that  fishermen  concentrate  their  effort 
in  areas  of  high  fish  densities  (Helland-Hansen 
1909).  Yet,  almost  nothing  is  known  about  the 
allocation  of  effort  by  individual  vessels.  If  data 
are  available  on  the  activity  of  individual  vessels, 
these  data  have  been  mainly  used  for  standard- 
ization of  effort.  The  catch  and  effort  activities 
within  individual  cruises  have  not  been  examined 
in  detail  (in  part  because  the  data  for  such  an 
examination  generally  do  not  exist).  The  purpose 
of  the  present  paper  is  to  examine  the  searching 
behavior  of  tuna  purse  seiners  in  the  eastern  trop- 
ical Pacific  (ETP)  based  on  detailed  data  compiled 
by  the  National  Marine  Fisheries  Service 
(NMFS).  The  main  questions  addressed  are 
whether  seiners  concentrate  their  effort  and  what 
is  the  relation  between  searching  behavior,  en- 


iSouthwest  Fisheries  Center  La  Jolla  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  P.O.  Box  271,  La  Jolla,  CA 
92038  and  Department  of  Biology,  University  of  Oregon,  Eu- 
gene, OR  97403;  present  address:  Northeast  Fishery  Center 
Woods  Hole  Laboratory,  National  Meirine  Fisheries  Service, 
NOAA,  Woods  Hole,  MA  02543. 


Manuscript  accepted  January  1988. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


counter  rates  for  dolphins,  and  tuna  catches. 

The  maximization  of  profit  is  presumably  a 
strong  influence  on  the  behavior  of  commercial 
fishermen.  Upon  leaving  port,  the  catch  rate  real- 
ized by  a  fisherman  is  probably  the  most  impor- 
tant factor  affecting  his  profits.  Given  this  orien- 
tation, it  is  reasonable  to  assume  that  fishermen 
have  developed  strategies  of  when  and  where  to 
fish  that  increase  their  catch  rates  beyond  that 
achieved  by  random  search.  There  is  little  empir- 
ical information  to  support  this  assumption  other 
than  correlations,  which  have  been  noted  for 
some  fisheries,  between  the  spatial  distribution  of 
catch  rates  and  effort  for  the  fleet  as  a  whole  (Gul- 
land  1955;  Calkins  1963). 

In  a  fishery  where  the  detection  of  fish  depends 
upon  visual  cues,  searching  would  be  expected  to 
be  located  in  the  vicinity  of  previously  located 
fish,  if  there  is  a  tendency  for  the  underlying  pop- 
ulation to  be  spatially  clustered.  The  search  path 
for  a  vessel  in  such  a  fishery  might  be  expected  to 
look  something  like  the  hypothetical  one  depicted 
in  Figure  1.  The  amount  of  crisscrossing  or 
zigzagging  in  the  vicinity  of  a  catch  and  the  area 
over  which  the  search  extends  would  be  expected 
to  vary  between  fishermen.  The  solution  to  the 
optimal  searching  strategy  for  such  a  situation  is 
nontrivial  and  depends  upon  information  on  the 

351 


FISHERY  BULLETIN;  VOL.  86,  NO.  2 


Figure  l. — A  hypothetical  cruise  track  for  a  vessel  searching 
for  clustered  prey.  The  location  of  catches  are  indicated  by 
xs. 


underlying  distribution  of  the  fish  population 
(Koopman  1980).  The  question  of  optimal  search- 
ing strategies  for  fishermen  has  been  receiving 
increased  attention  (Pazynich  1966;  Salia  and 
Flowers  1979;  Clark  and  Mangel  1983).  These 
studies  are  primarily  theoretical  at  this  time  and 
their  application  to  actual  fisheries  requires 
knowledge  of  the  spatial  distribution  of  the  fish 
population. 

Locating  schools  of  tuna  (e.g.,  yellowfin,  Thun- 
nus  albacares,  and  skipjack,  Katsuwonus 
pelamis)  in  the  purse  seine  fishery  in  the  ETP 
depends  on  visual  cues.  Fishermen  use  a  variety 
of  cues  including  birds  which  feed  on  the  same 
prey  as  tuna,  disturbances  on  the  surface  of  the 
water,  floating  debris  which  frequently  have  as- 
sociated tuna,  and  schools  of  dolphins  which  are 
often  associated  with  tuna  (primarily  yellowfin). 
Fishermen  have  names  for  the  different  types  of 
sets  depending  upon  what  is  associated  with  the 
tuna  school.  They  refer  to  sets  associated  with 
floating  debris  as  log  sets,  sets  associated  with 
dolphins  as  porpoise  sets,  and  sets  not  associated 
with  other  animals  (except  possibly  birds)  as 
school  sets.  Fishermen  when  not  engaged  in  a  set 


usually  spend  their  day  actively  searching  for 
signs  of  tuna.  They  use  25  x  binoculars  to  scan  the 
water  while  the  boat  cruises  at  speeds  generally 
between  10  and  12  knots. 

The  distribution  of  schools  of  tuna,  as  well  as 
schools  of  the  most  commonly  associated  dolphins 
(i.e.,  the  spotted  dolphin,  Stenella  attenuata),  ap- 
pears to  be  spatially  and  temporally  clustered 
within  the  ETP  considered  as  a  whole  (Calkins 
and  Chatwin  1967,  1971;  Blackburn  and  Wil- 
liams 1975;  Suzuki  et  al.  1978;  Au  et  al.  1979^; 
Polacheck  1983).  At  finer  geographic  scales,  there 
is  little  available  information  although  Au  et  al. 
(fn.  2)  suggested  that  schools  of  spotted  dolphin 
tend  to  be  locally  concentrated  in  areas  of  conver- 
gences and  fronts. 

Given  the  above  observation,  it  is  not  surpris- 
ing that  the  detection  or  encounter  process  for 
tuna  or  dolphins  does  not,  in  general  conform  to  a 
Poisson  process  when  the  distribution  of  search- 
ing times,  searching  distances,  or  physical  dis- 
tances between  nearest  encounters  are  analyzed 
(Polacheck  1983;  Allen  and  Punsely  1984).  In 
such  analyses  it  is  impossible  to  separate  or  dis- 
tinguish the  effects  of  nonrandom  search  from 
nonrandom  distributions  of  tuna  or  dolphins. 

In  the  harvesting  of  tuna  schools  associated 
with  dolphins,  fishermen  chase  and  capture  the 
associated  dolphins  (Perrin  1968, 1969),  and  some 
dolphins  may  be  incidently  killed.  NMFS,  as  part 
of  its  responsibility  under  the  Marine  Mammal 
Protection  Act  of  1972  for  managing  and  monitor- 
ing the  status  of  dolphin  populations,  placed 
trained  observers  aboard  tuna  purse  seiners. 
From  the  data  collected  by  these  observers,  ap- 
proximate cruise  tracks  can  be  drawn  by  connect- 
ing all  positions  that  were  recorded.  Many  of 
these  approximate  cruise  tracks  (e.g..  Figure  2) 
have  superficially  a  strong  similarity  to  the  hypo- 
thetical one  depicted  in  Figure  1.  It  was  this  sim- 
ilarity that  provided  the  impetus  for  the  analyses 
presented  below. 


METHODS 

NMFS  observers  aboard  tuna  purse  seiners  col- 
lected a  wide  variety  of  information,  both  on  the 
sightings  of  marine  mammals  and  fishing  opera- 


2Au,  D.  W.  K.,  W.  L.  Peryman,  and  W.  F.  Per- 
rin. 1979.  Dolphin  distribution  and  the  relationship  to  envi- 
ronmental features  in  the  eastern  tropical  Pacific.  Natl.  Mar. 
Fish.  Serv.,  Southwest  Fish.  Cent.,  Adm.  Rep.  LJ-79-43,  59  p. 


352 


POLACHECK:  DISTRIBUTION  OF  SEARCHING  EFFORT 


Figure  2. — Examples  of  the  approximate  cruise  track  for  two  tuna  purse  seiners.  Diamonds  represent  the 
location  of  a  set  or  chase.  No  geographic  coordinates  are  given,  and  the  orientation  of  figures  were  rotated  at 
random  so  as  not  to  compromise  any  proprietary  fishing  information.  The  distance  between  tick  marks  equals 
300  nautical  miles. 


353 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


tions.  Included  in  the  recorded  data  are  informa- 
tion on  all  changes  in  a  vessel's  activity;  the  loca- 
tion, tjqae,  and  catch  of  all  purse  seine  sets;  and 
the  location  and  identity  of  all  marine  mammal 
sightings.  In  these  data,  a  vessel's  activity  is  clas- 
sified into  one  of  five  mutually  exclusive  cate- 
gories: searching,  running,  setting,  chasing,  or 
resting.  Searching  is  defined  to  be  whenever  a 
vessel  is  moving  and  the  crew  are  actively  search- 
ing for  signs  of  tuna;  running,  anytime  the  vessel 
is  moving  but  not  actively  searching  for  signs  of 
fish  (e.g.,  moving  locations  at  night);  chasing, 
anytime  schools  of  dolphins  are  being  pursued 
before  the  net  has  begun  to  be  set.  More  detailed 
descriptions  of  the  available  data,  collection  pro- 
cedures and  their  preparation  for  the  analyses 
below  can  be  found  in  Polacheck  (1983,  1984^). 
The  analyses  in  this  paper  were  part  of  a  larger 
project  on  the  use  of  these  observer  data  for  as- 
sessing the  relative  abundances  of  dolphin  stocks. 
As  such,  the  emphasis  in  this  paper  is  on  the 
encounter  rate  for  the  most  important  dolphin 
species  for  the  fishery  (spotted  dolphin),  although 
catch  rates  for  tuna  are  also  considered.  The  re- 
sults presented  in  this  paper  are  based  on  two 
different  approaches  for  analyzing  the  data.  The 
first  method  is  a  set  of  nearest  neighbor  calcula- 
tions, and  the  second  is  a  cluster  analysis. 

The  nearest  neighbor  calculations  were  per- 
formed in  order  to  get  an  indication  whether  ves- 
sels tend  to  search  in  the  vicinity  of  a  previous 
encounter  (either  a  sighting  of  marine  mammals 
or  a  set  on  tuna).  In  these  calculations,  the  phys- 
ical distance  between  either  the  next  or  preceding 
encounter  is  compared  with  the  distance  to  the 
nearest  other  encounter  made  within  the  entire 
cruise.  Also,  the  proportion  of  times  in  which  the 
nearest  encounter  is  not  either  the  next  or  preced- 
ing one  is  calculated.  For  a  vessel  that  never  re- 
turned to  the  area  of  an  encounter,  this  propor- 
tion would  equal  1.  Similarly,  if  a  vessel  never 
returned  to  the  area  of  an  encounter,  the  ratio  of 
the  distance  between  either  the  next  or  preceding 
encounter  and  the  distance  to  the  nearest  other 
encounter  within  an  entire  cruise  would  also 
equal  1.  Note  that  the  expected  values  for  these 
proportions  with  random  search  are  not  necessar- 
ily 1.  The  expected  value  will  be  dependent  both 
on  the  distribution  of  potential  encounters  and 


3Polacheck,  T.  1984.  Documentation  of  the  time  sequen- 
tial files  created  ft-om  the  tuna  boat  observer  data  bases  for 
analyzing  relative  abundances.  Natl.  Mar.  Fish.  Serv.,  South- 
west Fish.  Cent.,  Adm.  Rep.  LJ-84-33,  26  p. 


the  definition  of  random  search  (see  Discussion). 
These  calculations  were  performed  separately  for 
sets  and  chases  for  tuna  and  for  the  sightings  of 
spotted  dolphin.  In  performing  these  nearest 
neighbor  calculations,  the  first  and  last  encounter 
during  a  cruise  were  not  included. 

The  other  main  approach  used  for  examining 
the  data  is  a  form  of  cluster  analysis.  When  the 
sequences  of  distances  between  sets  and  chases 
within  any  cruise  were  examined,  they  appeared 
to  be  spatially  and  temporally  clustered  in  the 
sense  that  sets  and  chases  in  which  the  distance 
to  the  next  set  or  chase  was  small  tended  to  be 
clumped  sequentially.  This  observation  led  to  the 
development  of  an  algorithm  for  clustering  sets 
and  chases  that  were  spatially  and  temporally 
related.  Standard  clustering  algorithms  were  not 
appropriate  in  this  situation  because  of  the  prob- 
lem of  scaling  spatial  and  temporal  distances 
within  a  common  metric  (i.e.,  how  much  time 
should  be  equal  to  a  given  distance). 

Note  that  the  term  "clustered"  or  "clustered 
distribution"  is  used  in  this  paper  to  refer  to  any 
distribution  in  which  high-  and  low-density  areas 
are  more  frequent  than  would  be  expected  if  the 
distribution  was  generated  by  a  Poisson  process. 
The  term  is  not  meant  to  refer  to  any  particular 
nonhomogeneous  process.  A  cluster  is  considered 
as  an  area  of  high  density  and  should  not  be  con- 
strued as  referring  to  a  discrete  unit. 

The  primary  purpose  of  the  clustering  al- 
gorithm was  to  define  areas  which  a  fisherman 
might  have  thought  to  have  a  high  density  of 
potential  fishing  targets  so  that  the  searching  be- 
havior of  a  vessel  could  be  compared  between 
these  areas  and  outside  them.  This  analysis  ex- 
ploits the  fact  that  the  physical  distance  between 
events  is  partially  independent  of  the  distance 
that  a  vessel  travels  to  locate  them.  Since  the 
purpose  of  the  algorithm  was  to  define  areas  of 
potentially  good  fishing,  chases  of  dolphin,  as  well 
as  sets,  have  been  included  as  events  in  the  clus- 
tering algorithm.  (Sets  made  for  the  purpose  of 
washing  the  net  were  not  used.)  The  clustering 
algorithm  began  with  consideration  of  the  dis- 
tance between  the  first  and  second  set  and/or 
chase.  If  this  distance  was  less  than  a  specified 
amount,  then  these  two  events  were  placed  in  the 
same  cluster,  and  the  distance  between  these  two 
and  the  third  event  were  examined.  This  specified 
amount  will  be  referred  to  as  the  clustering 
parameter.  If  the  distance  between  the  third 
event  and  either  of  the  events  within  the  cluster 
was  less  than  the  value  of  the  clustering  parame- 


354 


POLACHECK:  DISTRIBUTION  OF  SEARCHING  EFFORT 


ter,  this  third  event  was  included  in  the  cluster 
and  the  fourth  event  was  examined.  Whenever  a 
set  or  chase  was  found  for  which  the  distance  be- 
tween it  and  all  members  of  the  last  defined  clus- 
ter exceeded  the  clustering  parameter,  a  new 
cluster  was  formed.  This  process  was  repeated 
until  all  sets  and  chases  within  a  cruise  were 
placed  in  a  cluster. 

Using  this  algorithm,  all  the  activities  within  a 
cruise  could  be  considered  to  occur  either  between 
or  within  clusters.  Isolated  sets  or  chases  (i.e., 
clusters  containing  only  a  single  event)  were  con- 
sidered as  occurring  between  clusters.  Distances 
travelled  (i.e.,  distance  searched  and  distance 
run)  within  a  cluster  were  defined  as  the  dis- 
tances travelled  after  the  first  set  or  chase  until 
the  last  set  or  chase  in  that  cluster.  Distances 
travelled  between  clusters  were  defined  from  the 
last  event  of  the  previous  cluster  to  the  first  event 
of  the  subsequent  cluster.  The  distances  travelled 
until  the  location  of  the  first  set  or  chase  and  after 
the  last  one  were  not  included  because  of  the  large 
distances  involved  in  reaching  the  fishing 
grounds. 

The  location  of  a  cluster  was  estimated  by  cal- 
culating the  centroid  for  all  sets  and  chases 
within  it.  The  size  of  a  cluster  was  estimated  by 
determining  the  radius  of  the  smallest  circle  with 
a  center  at  the  centroid  that  encompassed  all  sets 
and  chases  within  it. 

The  sensitivity  of  this  algorithm  to  the  value  of 
the  clustering  parameter  was  examined  for  val- 
ues of  50,  75,  100,  and  150  miles.  For  most  of  the 
results,  only  clusters  with  at  least  three  members 
are  considered  as  clusters.  Clusters  with  only  two 
members  have  been  excluded  from  most  of  the 
summary  results  describing  a  cluster  and  also  in 
the  comparisons  of  results  between  and  within 
clusters.  This  was  done  because  two  physically 
close  events  did  not  seem  to  warrant  being  called 
a  cluster.  Yet,  given  the  relative  difficulty  in  lo- 
cating potential  sets,  two  close  events  might  be 
considered  as  areas  of  potentially  good  fishing. 
Clusters  with  only  two  members  contained  18%  of 
all  sets  and  chases  when  the  cluster  parameter 
equalled  50  miles  and  6%  of  all  sets  when  the 
value  equalled  150  miles.  The  overall  results  and 
conclusions  are  robust  to  whether  or  not  clusters 
with  two  members  are  included  or  excluded. 

An  average  intercluster  distance  for  a  cruise 
was  calculated  in  order  to  get  an  indication  of  the 
stability  of  the  clustering  algorithm  to  the  value 
of  cluster  parameters.  The  intercluster  distance 
was  defined  as  the  distance  from  the  nearest 


member  of  a  cluster  or  isolated  set  to  the  next  set 
and  represents  the  minimum  value  that  the  clus- 
ter parameter  would  have  to  be  for  a  cluster  or 
isolated  set  to  be  combined  in  a  single  cluster  with 
the  next  set. 

Encounter  rates  for  schools  of  spotted  dolphin 
for  each  cruise  were  calculated  between  and 
within  clusters  as  the  total  number  of  sightings 
divided  by  the  total  distance  searched.  In  these 
rates,  if  the  first  chase  or  set  within  a  cluster  was 
based  on  a  sighting  of  spotted  dolphin,  this  sight- 
ing was  included  in  the  encounter  rates  between 
and  not  within  a  cluster.  For  the  analysis  of  these 
encounter  rates,  clusters  were  classified  accord- 
ing to  the  percentage  of  the  total  number  of  sets 
and  chases  within  a  cluster  that  involved  schools 
of  dolphins.  In  calculating  the  number  of  events 
that  occurred  within  a  cluster,  sequential  non- 
dolphin  sets  in  which  no  searching  was  done  be- 
tween them  were  counted  as  a  single  event.  This 
was  done  to  reduce  the  effect  of  multiple  sets  on 
the  same  floating  object  counting  as  a  large  clus- 
ter. 

In  order  to  see  whether  the  searching  behavior 
within  the  defined  clusters  resulted  in  biased  esti- 
mates of  encounter  rates  for  dolphins  if  the  clus- 
ters were  ignored  in  the  estimates,  two  different 
estimates  for  the  overall  encounter  rate  for  a 
cruise  were  calculated  and  compared.  The  first 
estimate,  which  will  be  referred  to  as  the  unad- 
justed rate,  was  simply  the  total  number  of  en- 
counters divided  by  the  total  distance  searched 
for  an  entire  cruise.  This  would  be  an  unbiased 
estimate  if  search  was  in  fact  random.  The  second 
estimate,  which  will  be  referred  to  as  the  adjusted 
encounter  rate,  was  calculated  as  the  weighted 
average  of  the  encounter  rate  within  and  between 
clusters.  The  weights  for  the  encounter  rate 
within  clusters  were  equal  to  the  diameter  of  the 
cluster.  The  weights  between  clusters  equalled 
the  total  distance  searched  between  clusters.  In 
effect,  this  adjusted  encounter  rate  is  an  estimate 
of  what  the  encounter  rate  would  have  been  if  a 
vessel  had  made  a  straight  line  crossing  of  each 
cluster.  (In  the  calculation  of  these  adjusted  en- 
counter rates,  clusters  with  two  members  were 
treated  the  same  as  other  clusters  to  simplify  the 
calculations.) 

The  analyses  in  this  paper  are  based  on  35 
cruises.  This  represents  a  subset  of  the  cruises  in 
1979  with  NMFS  observers,  which  in  turn  is  a 
subset  of  all  purse  seine  cruises  for  tuna  in  the 
ETP  during  1979.  Analyses  were  restricted  to 
1979  because  only  for  this  year  have  the  data 


355 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


been  carefully  edited  for  positional  errors. 
Cruises  from  1979  were  excluded  either  because 
of  insufficient  positional  data  or  because  the  ves- 
sel made  port  stops  during  the  middle  of  the 
cruise.  Inclusion  of  the  time  spent  searching  on 
the  way  in  and  out  of  port  could  distort  the  results 
on  searching  and  encounter  rates  between  clus- 
ters. Preliminary  analyses  suggested  that  there  is 
little  difference  in  the  results  between  vessels 
that  went  into  port  and  those  that  did  not. 
However,  to  avoid  further  complicating  the 
analyses,  these  cruises  have  not  been  included 
(see  Polacheck  1983  for  more  detail). 


RESULTS 

Is  Effort  Concentrated? 

The  percentage  of  sets  or  chases  for  which  the 
nearest  one  was  not  the  preceding  or  next  set  or 
chase  ranged  from  12  to  77  among  cruises  (Fig.  3). 
The  mean  percentage  was  41  (SE  =  1.9,  n  =  35). 
The  average  ratio  of  the  physical  distances  be- 
tween the  next  or  preceding  set  or  chase  com- 
pared to  the  distance  to  the  nearest  set  or  chase 
within  a  cruise  was  1.45  (SE  =  0.044,  n  =  35)  and 
ranged  from  1.00  to  2.24.  Consideration  of  the 
same  statistics  for  the  distances  between  sight- 
ings of  spotted  dolphin  indicates  an  even  more 
concentrated  pattern.  The  mean  percentage  of 
sightings  for  which  their  nearest  neighbor  was 
not  either  the  next  or  preceding  one  equalled  80 
(SE  =  2.8,  n  =  34,  note  one  cruise  recorded  no 
sightings  of  spotted  dolphins)  and  ranged  from  25 
to  100  (Fig.  4).  The  average  ratio  of  the  distance 
between  the  next  or  preceding  sighting  compared 
with  the  nearest  sighting  was  4.05  (SE  =  0.261, 
n  =  34)  and  ranged  from  1.14  to  7.82.  For  these 
sighting  statistics,  low  percentages  and  ratios 
near  1.00  are  found  in  vessels  with  few  sightings 
(Fig.  4).  These  results  suggest  that  in  general  ves- 
sels return  to  the  area  of  a  previous  sighting  and/ 
or  set  and  search  in  that  area  at  least  41%  of  the 
time. 

There  appears  to  be  large  differences  among 
vessels  in  their  ability  and  success  at  locating 
potential  fishing  targets.  Thus,  the  average  dis- 
tance searched  between  sets  or  chases  varies  by 
about  a  factor  of  4  among  cruises,  while  the  aver- 
age physical  distance  between  sets  or  chases 
varies  by  about  a  factor  of  6  (Fig.  5).  There  is  little 
relationship  between  the  average  distance 
searched  between  sets  and  chases  and  the  aver- 
age distance  to  the  next  one.  However,  vessels 


15 


> 
u 

z 

U4 
3 
O 
m 
a 
u. 


10 


0  I  1 1 1 1 1 1 1 

10        20        30        40        50        60        70        80 

PERCENT  OF  THE  SETS  AND  CHASES 

IN  WHICH  THE  NEAREST  ONE  WAS 

NEITHER  THE  PRECEDING  OR  NEXT  ONE 

Figure  3. — The  frequency  distribution  for  the  percentage  of  the 
sets  and  chases  within  a  cruise  for  which  the  nearest  other  set 
or  chase  was  neither  the  preceding  or  next  one. 


15 


10 


UJ 

O 

111 

cc 
u. 


5  - 


— I — 
60 


100 


30       40        50       60       70       80        90 

PERCENT  OF  SIGHTINGS  IN  WHICH 

THE  NEAREST  ONE  WAS  NEITHER 

THE  PRECEDING  OR  NEXT  ONE 


Figure  4. — The  frequency  distribution  for  the  jjercentage  of 
sightings  of  schools  of  spwtted  dolphins,  Stennella  attenuata , 
within  a  cruise  for  which  the  nearest  other  sighting  was  neither 
the  preceding  or  next  one.  Shaded  portions  represent  cruises 
with  less  than  15  sightings  (note  one  cruise  had  no  sightings  of 
spotted  dolphins). 


356 


POLACHECK:  DISTRIBUTION  OF  SEARCHING  EFFORT 


with  the  largest  distances  between  sets  also  have 
large  average  search  distances,  but  the  converse 
is  not  true  (Fig.  5).  The  importance  of  dolphin 
fishing  as  compared  to  log  and  school  fishing  ap- 
pears not  to  be  related  to  these  differences  among 
cruises  (Fig  6).  It  should  be  noted  that  the  points 
in  Figure  5  must  lie  above  the  straight  line  with 
a  slope  of  1.0.  The  expected  relationship  between 
the  variables  in  Figure  5  depends  upon  both  the 
underlying  searching  process  and  the  spatial  dis- 
tribution of  potential  sets.  While  a  positive  rela- 
tionship would  be  expected  if  both  of  these  are 
random,  a  more  precise  definition  is  beyond  the 
scope  of  this  paper.  The  purpose  in  presenting 
Figures  5  and  6  is  to  display  the  range  of  differ- 
ences in  the  success  of  vessels  in  locating  poten- 
tial fishing  targets.  The  large  variation  among 
cruises  suggests  that  all  vessels  may  not  be  using 
the  same  searching  strategy  and  is  an  important 
factor  to  keep  in  mind  when  considering  the  re- 
sults from  the  clustering  algorithm. 


^  220 

1 

■5  200 


S  180 


u 

oc 
o 

»- 

Ui 
(A 


X 

u 


UI 


160 


140 


120 


O  100 

I- 

D 
UI 


< 

UI 

<A 


80 


60 


< 

«     40 


UI     20„ 
S  0 


_L 


_L 


10 


20 


30 


40 


_L 


50 


JL 


60 


70 


MEAN  DISTANCE  TO  THE  NEAREST 
SET  OR  CHASE  (nautical  miles) 


Description  of  Clusters 

The  clustering  algorithm  grouped  between  30 
and  100%  of  all  sets  and  chases  within  a  cruise 
into  clusters  with  at  least  three  members  (Table 
1).  The  percentage  of  all  sets  and  chases  that  are 
included  in  clusters  increases  with  the  value  of 
the  cluster  parameter  so  that  60-100%  of  all  sets 
and  chases  within  a  cruise  occur  within  150  miles 
of  another  one.  These  percentages  can  only  in- 
crease with  increases  in  the  value  of  the  cluster 
parameter  (i.e.,  a  set  that  is  included  within  a 
cluster  for  a  lower  value  of  the  cluster  parameter 
will  always  be  included  in  a  cluster  at  a  higher 
value).  Similarly,  the  average  cluster  size  and  the 
total  percentage  of  the  distance  searched  that  oc- 
curs within  clusters  must  be  nondecreasing  func- 
tions of  the  clustering  parameter  (Table  1).  How- 
ever, even  when  the  clustering  parameter  equals 
150  miles  so  that  most  sets  occur  within  clusters, 
the  percentage  of  the  total  distance  searched 
within  clusters  averages  only  59%  of  the  total 
distance  searched  during  the  cruise.  This  indi- 
cates that  substantial  searching  activity  occurs 
far  from  any  set  or  chase. 

The  average  intercluster  distance  for  a  cruise 
ranged  from  134  to  425  miles  for  clusters  defined 


220 
200 


z 

UJ  -^ 

an 

<  w 

Ui  UJ 

«« 

liJ   ^ 

O  X 

ro 

^i 
<S< 

o« 

Z  H 

<  UJ 
UJ  V> 

s 


180 

160 

140 

120 

100 

80 

60 

40 

20 
0 


•       . 


•      • 


••         • 


'. 


10        20        30        40        50       60        70       80 

PERCENT  OF  THE  SETS  AND 
CHASES  INVOLVING  DOLPHINS 


90 


Figure  5. — The  relationship  between  the  average  distance 
searched  between  sets  and  chases  within  a  cruise  and  the  aver- 
age distance  to  the  nearest  one. 


Figure  6. — The  relationship  between  the  average  distance 
searched  between  sets  and  chases  and  the  proportion  of  sets  and 
chases  in  which  schools  of  dolphins  were  associated  for  a  cruise. 


357 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Table  1. — Statistics  summarizing  the  results  of  the  clustering  algorithm  showing  the 
sensitivity  to  a  range  of  values  for  the  clustering  parameter.  Standard  deviations  are 
given  as  opposed  to  standard  errors  to  provide  an  indication  of  the  variation  between 
cruises.  All  means  are  the  simple  average  for  35  cruises. 

Cluster  parameter 


50 

75 

100 

150 

Percent  of  sets  within 
clusters  with  at  least 
3  members 

Mean 

SD 

Range 

64 

14.1 

30-90 

75 

13.5 

31-97 

81 

13.3 

31-97 

88 

9.2 

60-100 

Average  cluster  radius 
for  clusters  with  at  least 
3  members  (nautical 
miles) 

Mean 

SD 

Range 

35 

8.5 

19-56 

55 

19.7 

27-142 

77 

40.4 

34-225 

116 

66.0 

38-390 

Percent  of  the  search- 
ing within  clusters  with 
at  least  3  members 

Mean 

SD 

Range 

25.8 
12.6 

9-61 

39 

16.4 

16-91 

47 

16.1 
19-91 

59 

10.6 

31-91 

Average  intercluster 
distance  (nautical 
miles) 

Mean 

SD 

Range 

210 

65.9 

134-425 

261 

75.9 

155-465 

297 

82.2 

173-513 

356 

100.9 

196-691 

30  r 


20 


z 

UJ 

O 


10 


A 

N  =  767 


30r 


20  - 


10 


B 

N  =  570 


50 
40  r 


30  - 


UJ 

O     20 

oc 

Ul 

a. 


10 


75  100  125  150  175         200         225         250      >250  75         100  125  150  175         200         225         250         275      >275 

40r 


C 

N  =  448 


_L 


I 


I 


_L 


_L 


_L 


30 


20 


10 


D 

N  =  309 


_L 


_L 


_L 


_L 


_L 


_1_ 


100        125         150  175         200        225         250         275        300      >300 

INTER-CLUSTER  DISTANCE  (nautical  mNaa) 


150         175        200         225         250         275        300         325        350     >350 
MTEH-CLUSTCR  MSTANCC  (nauUcal  nritM) 


Figure  7. — The  frequency  distribution  of  intercluster  distances.  Distances  from  all  cruises  have  been  pooled.  The  values  of  the 

clustering  parameter  are     A)  50,     B)  75,     C)  100,  and      D)  150. 


358 


POLACHECK:  DISTRIBUTION  OF  SEARCHING  EFFORT 


by  a  value  of  50  for  the  clustering  parameter  and 
from  196  to  691  miles  for  a  value  of  150  miles 
(Table  1).  The  frequency  distribution  of  these  in- 
tercluster  distances  (Fig.  7)  is  an  indication  of  the 
stability  of  the  clusters  to  the  value  of  the  cluster- 
ing parameter.  Thus,  for  a  value  of  100,  over  65% 
of  the  clusters  have  an  intercluster  distance 
exceeding  175  miles.  This  suggests  that  65%  of 
clusters  will  be  stable  up  to  a  value  of  175  miles 
for  the  clustering  parameter.  (Note,  this  is  not 
strictly  true.  If  the  set  preceding  the  first  mem- 
ber of  a  cluster  was  less  than  175  miles  away  and 
this  set  was  also  less  than  175  miles  from  the  first 
set  of  the  next  cluster,  this  set  plus  these  two 
clusters  would  be  combined  in  a  single  cluster 
for  a  value  of  the  cluster  parameter  less  than 
175.) 

These  statistics  describing  the  characteristics 
of  the  defined  clusters  suggest  that  the  algorithm 
used  to  create  them  successfully  separates  the  ac- 
tivities of  a  cruise  into  areas  where  sets  are  com- 
mon and  areas  where  they  are  infrequent.  The 
major  differences  in  the  clusters  with  different 
values  for  the  clustering  parameters  result  from 
the  merging  of  two  relatively  close  clusters  or  the 
inclusion  of  an  isolated  set  or  chase  near  the 
boundary  of  a  cluster  (e.g.,  for  80%  of  the  cruises, 
the  actual  number  of  clusters  decreases  or  re- 
mains the  same  over  a  range  of  50-150  miles 


for  the  clustering  parameter).  However,  the  fact 
that  many  of  these  descriptive  statistics  vary 
continuously  with  the  value  of  the  clustering 
parameter  suggests  that  these  defined  clusters 
do  not  represent  distinct  units,  but  areas  of 
high  concentration  in  a  continuously  grading 
system. 

Cruises  vary  greatly  with  respect  to  the 
amount  of  variability  they  exhibit  in  response  to 
changes  in  the  value  of  the  clustering  parameter 
(Table  2).  Such  variability  is  to  be  expected  since 
no  single  searching  strategy  is  used  by  all  vessels 
and  vessels  may  change  their  strategy  during  the 
course  of  a  cruise.  In  addition,  the  spatial  distri- 
bution of  potential  sets  probably  also  varies  with 
time  and  space.  These  sources  of  variability 
among  cruises,  combined  with  the  relatively 
small  sample  sizes  within  a  cruise,  may  be  part  of 
the  reason  that  the  descriptive  statistics  charac- 
terizing clusters  vary  continuously  with  the  value 
of  the  clustering  parameter. 

The  lack  of  any  sharp  demarcation  in  the  clus- 
ters as  a  function  of  the  clustering  parameter, 
combined  with  the  large  amount  of  variability 
exhibited  among  different  cruises,  creates  a  prob- 
lem in  presenting  results  based  on  the  clustering 
algorithm.  Consequently,  whenever  summary 
statistics  are  presented,  results  are  given  for  a 
range  of  values  for  the  clustering  parameter. 


Table  2. — Examples  of  the  effect  of  changes  in  the  value  of  the  clustering  parameter  for  5  arbitrarily  selected 

cruises. 


Average 

Percent  of 

cluster  radius 

Percent  of 

Number  of 

sets  and 

for  clusters 

the  search- 

Average 

Value 

clusters 

chases  with 

with  at  least 

ing  within 

Intercluster 

of  the 

with 

clusters  with 

3  members 

clusters  with 

distance 

cluster 

at  least 

at  least 

(nautical 

at  least 

(nautical 

Cruise 

parameter 

3  members 

3  members 

miles) 

3  members 

miles) 

1 

50 

4 

90 

32 

61 

171 

75 

1 

96 

142 

91 

298 

100 

1 

96 

142 

91 

298 

150 

1 

96 

142 

91 

298 

2 

50 

10 

85 

27 

34 

210 

75 

7 

97 

61 

60 

294 

100 

4 

97 

105 

68 

397 

150 

4 

98 

126 

71 

443 

3 

50 

5 

30 

27 

9 

402 

75 

5 

31 

36 

16 

450 

100 

5 

31 

46 

19 

479 

150 

5 

60 

68 

36 

614 

4 

50 

4 

78 

30 

36 

425 

75 

4 

80 

39 

41 

465 

100 

4 

82 

38 

45 

513 

150 

4 

82 

38 

45 

513 

5 

50 

1 

65 

45 

38 

302 

75 

3 

79 

45 

43 

362 

100 

3 

79 

45 

43 

362 

150 

3 

79 

45 

43 

362 

359 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Whenever  it  seemed  important  to  display  the  re- 
sults by  cruise,  a  value  of  100  miles  for  the  clus- 
tering parameter  was  used.  It  should  be  empha- 
sized that  the  general  patterns  appear  to  be 
independent  of  the  exact  value  of  the  clustering 
parameter. 

Is  Searching  DiflFerent  in  Clusters? 

To  determine  whether  vessels  tended  to  in- 
crease their  searching  effort  in  the  vicinity  of 
sets,  the  ratio  of  the  total  distance  travelled  (i.e., 
the  distance  searched  plus  the  distance  run)  to 
the  actual  physical  distances  between  sets  was 
compared  between  and  within  clusters.  This  ratio 
is  about  1.7  times  greater  in  clusters  than  be- 
tween clusters  (Table  3).  Also  for  no  more  than  7 


cruises  is  the  ratio  within  clusters  less  than  the 
ratio  between  clusters  (Table  3).  By  a  sign  test 
(Snedecor  and  Cochran  1967),  these  results  imply 
that  this  ratio  is  significantly  greater  than  1.00 
(P  <  0.005). 

In  addition,  the  proportion  of  the  total  distance 
travelled  that  is  devoted  to  searching  is  much 
greater  when  a  vessel  is  between  than  when  it  is 
within  clusters  (Table  4).  The  fact  that  vessels 
run,  and  are  not  actively  looking  for  tuna,  propor- 
tionately more  between  than  within  clusters  is  an 
indication  that  clusters  are  areas  in  which  a  ves- 
sel has  decided  to  remain.  Vessels  tend  only  to 
run  at  night.  Usually,  as  long  as  the  vessel  is 
moving  during  daylight,  the  crew  will  be  search- 
ing. Thus,  large  amounts  of  running  tend  to  occur 
when  vessels  are  actively  moving  to  new  areas. 


Table  3. — Comparison  between  and  within  clusters  of  the  ratio  of  the  total  distance 
travelled  (i.e.,  distance  searched  plus  distance  run)  to  the  actual  physical  distance 
between  sets  and  chases.  Means  are  the  average  values  of  the  ratio  for  the  35  cruises 
being  considered. 

Value  of  the  cluster  parameter 


50 

75 

100 

150 

Between 

Mean 

1.79 

1.70 

1.65 

1.59 

SD 

0.064 

0.062 

0.060 

0.065 

Range 

1.24-2.70 

1.13-2.71 

1.12-2.68 

1.11-2.81 

Within 

Mean 

3.08 

2.84 

2.79 

2.68 

SD 

0.343 

0.254 

0.250 

0.239 

Range 

1.13-11.03 

1.16-8.67 

1.09-8.67 

1.12-8.67 

Number  of  cruises  out 

128 

131 

132 

131 

of  35  in  which  the  ratio 

is  greater  within  than 

between  clusters 

ip  <  0.05  of  observing  this  many  ratio  greater  within  clusters  than  between  if  they  were  in  fact 
equal  based  on  a  sign  test  (Snedecor  and  Cochran  1967). 


Table  4. — Comparison  between  and  within  clusters  of  the  ratio  of  the  distance  run  without 
searching  to  the  distance  searched.  Means  are  the  average  values  of  this  proportion  for  the 
35  cruises  being  considered. 


Value  of  the  cluster  parameter 

50 

75 

100 

150 

Between 
clusters 

Mean 
ratio 

SE 

Range 

0.85 

0.063 

0.35-1.94 

0.93 

0.068 

0.26-1.94 

0.97 

0.067 

0.26-2.05 

1.06 

0.095 

0.26-3.45 

Within  clusters 

Mean 
ratio 

SE 

Range 

0.29 

0.040 

0.01-0.88 

0.33 

0.036 
0.04-0.98 

0.38 

0.042 

0.04-1.13 

0.46 

0.048 

0.05-1.06 

Number  of  cruises  out 
of  a  total  of  35 
in  which  the  propor- 
tion is  greater  be- 
tween clusters  than 
within  them 

134 

134 

134 

134 

ip  <  0  001  of  observing  the  portion  being  greater  between  clusters  than  within  34  out  of  35  cruises,  if 
in  fact  the  proportion  was  equal  based  on  a  sign  test  (Snedecor  and  Cochran  1 967). 


360 


POLACHECK:  DISTRIBUTION  OF  SEARCHING  EFFORT 


However,  some  running  can  still  be  expected 
within  clusters  because  vessels  mark  favorable 
logs  with  radio  transmitter  in  order  to  return  to 
them  at  a  latter  time.  It  should  be  noted  that 
three  or  more  sets  or  chases  rarely  occur  on  the 
same  day  (Fig.  8).  Therefore,  the  proportionately 
smaller  amount  of  running  that  occurs  within 
clusters  is  not  an  artifact  resulting  from  clusters 
that  do  not  span  more  than  a  single  day. 

Are  Clusters  Areas  of 
High  Spotted  Dolphin  Densities? 

Encounter  rates  {total  number  of  sightings  of 
spotted  dolphins  divided  by  the  total  distance 
searched)  tend  to  be  much  greater  within  clusters 
dominated  by  sets  in  association  with  dolphins 
than  either  within  clusters  dominated  by  non- 
dolphin  sets  or  while  searching  between  clusters 
(Table  5).  The  clustering  algorithm  would  tend  to 
ensure  that  such  differences  are  likely  to  occur, 
but  the  magnitude  of  the  differences  is  large  and 


900 


800 


700 


600 


> 

o 


500 


LLI 

o 

lu   400 
a. 


300 
200 
100 

°  1  2  3  4  5 

NUMBER  OF  SETS  OR  CHASES 

Figure  8. — The  frequency  distribution  of  the  number  of  sets 
or  chases  during  a  day  for  all  days  on  which  there  was  at 
least  one  chase  or  set. 


Table  5. — Comparison  of  encounter  rates  (number  of  schools  of  spotted  dolphins,  Stenella 
attenuata,  per  100  miles  searched)  while  searching  within  clusters  classified  according  to  the 
percentage  of  sets  involving  dolphins,  and  while  searching  between  clusters.  Unweighted 
means  are  the  average  value  of  the  encounter  within  each  cruise.  Weighted  means  are  based 
on  the  encounter  rate  weighted  by  the  distance  searched  by  a  cruise  and  are  equivalent  to  the 
total  number  of  sightings  divided  by  the  total  distance  searched  pooled  across  all  vessels. 


Within 

clusters  in  which  the  percent 

of  the  cluster  parameter 

of  sets  on  dolphins  ranged 

from 

Between 

Value 

0-25 

25-75 

75-100 

clusters 

50 

Unweighted  mean 

0.17 

1.45 

2.74 

0.52 

SE 

0.070 

0.182 

0.219 

0.046 

Weighted  mean 

0.10 

1.04 

2.46 

0.50 

SE 

0.047 

0.120 

0.205 

0.046 

Number  of  cruises 

27 

22 

30 

35 

Total  distance  searched 

17.9 

10.0 

23.1 

148.2 

(thousands  of  miles) 

75 

Unweighted  mean 

0.15 

1.32 

2.32 

0.47 

SE 

0.051 

0.191 

0.188 

0.044 

Weighted  mean 

0.12 

0.88 

2.16 

0.46 

SE 

0.039 

0.111 

0.166 

0.044 

Number  of  cruises 

25 

22 

31 

35 

Total  distance  searched 

28.2 

15.1 

33.0 

125.4 

(thousands  of  miles) 

100 

Unweighted  mean 

0.14 

1.15 

2.08 

0.46 

SE 

0.046 

0.181 

0.174 

0.045 

Weighted  mean 

0.15 

0.81 

1.82 

0.45 

SE 

0.043 

0.117 

0.148 

0.044 

Number  of  cruises 

25 

20 

31 

35 

Total  distance  searched 

35.1 

16.0 

45.0 

106.7 

(thousands  of  miles) 

150 

Unweighted  mean 

0.10 

0.73 

1.83 

0.43 

SE 

0.040 

0.106 

0.159 

0.049 

Weighted  mean 

0.11 

0.68 

1.63 

0.40 

SE 

0.037 

0.096 

0.114 

0.041 

Number  of  cruises 

24 

18 

32 

35 

Total  distance  searched 

33.9 

27.2 

57.1 

85.7 

(thousands  of  miles) 

361 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


relatively  insensitive  to  the  value  of  the  cluster- 
ing parameter.  However,  the  fact  that  a  large  per- 
centage of  the  clusters  tend  to  be  dominated  by 
either  dolphin  or  non-dolphin  sets  is  not  a  neces- 
sary consequence  of  the  clustering  algorithm  and 
suggests  that  the  two  types  of  methods  for  locat- 
ing and  catching  tuna  tend  to  be  spatially  and 
temporally  distinct.  Encounter  rates  are  substan- 
tially lower  in  clusters  dominated  by  non-dolphin 
sets  than  when  a  vessel  is  searching  between 
clusters  (Table  5).  This  result  is  also  not  a  neces- 
sary consequence  of  the  clustering  procedure  and 
suggests  that  these  clusters  not  only  define  areas 
of  high  densities  of  spotted  dolphin  schools  but 
also  areas  of  low  densities. 

Encounter  rates  could  be  lower  in  non-dolphin 
areas  because  of  differences  in  detectability  not 
related  to  the  density  of  schools.  For  example, 
Hammond'*  suggested  that  the  crew  may  scan 
closer  to  the  vessel  when  searching  in  non- 
dolphin  areas  (see  also  Polacheck  1983).  It  seems 
unlikely  that  such  factors  could  account  for  all  of 
the  differences  between  the  encounter  rates  in 
Table  5. 

Differences  in  detectability  due  to  differences 
in  weather  conditions  between  and  within  clus- 
ters could  also  affect  the  results  in  Table  5.  En- 
counter rates  do  decrease  at  higher  Beaufort  sea 
states  (Polacheck  1983).  However,  little  search- 
ing occurs  above  Beaufort  state  4.  The  difference 
in  encounter  rates  at  Beaufort  0-2  compared  with 
Beaufort  3-4  (about  a  factor  of  1.28)  is  insuffi- 
cient to  explain  the  difference  in  Table  5 
(Polacheck  1983).  Moreover,  areas  of  non-dolphin 
sets  tend  to  be  in  nearshore  areas  with  calmer 
seas  and  fishermen  do  not  consider  Beaufort  4 
conditions  as  being  too  rough  to  fish. 

Do  Tuna  Catches  Differ  Between 
and  Within  Clusters? 

The  average  tons  of  tuna  caught  per  set  tend  to 
be  greater  for  sets  which  occur  within  clusters 
than  sets  between  clusters  (Fig.  9).  For  all  values 
of  the  clustering  parameter,  the  average  catch  per 
set  was  greater  within  than  outside  of  clusters  in 
approximately  70%  of  the  cruises  (Table  6).  Para- 
metric statistical  comparisons  of  the  average  tons 
per  set  are  not  appropriate  because  of  the  large 
differences  in  the  average  catch  per  set  among 


vessels  (Fig.  9).  A  nonparametric  sign  test  (Sned- 
cor  and  Cochran  1966)  suggests  that  the  differ- 
ences in  catch  per  set  between  and  within  clusters 
are  significant  at  least  at  the  0.05  probability 
level  for  all  values  of  the  clustering  parameters 
that  were  considered. 


60  t- 


56 


CO 
QC 
liJ 

t- 
V) 

u 
_l 

o 

z 

UJ 
UJ 

I- 

LLI 


UJ 
Ui 

QC 

LU 

a 

I- 

X 

o 

< 
O 

</) 

z 
o 

I- 

z 
< 

LU 

2 


36 

\ 

• 

32 

- 

/ 

/ 
/ 
/ 

28 

/ 
/ 
/ 
/ 
•                 / 

24 

/ 
/ 
/ 
/ 

20 

• 

/ 
/• 
•          / 

/ 

16 

• 

/ 

/ 
/ 

/ 
/ 

12 

•         • 

/ 
•  / 
/ 

/ 

•                            • 

• 

8 

" 

/ 

/ 
/ 

• 

• 
• 

/ 

• 

• 

4 

/ 

t 

• 

/ 

• 

• 

/  • 

,  •       • 

• 

0 

(■           1 

-  i 

1             1             1             1             1 

0  4  8  12         16         20        24         28        32 

MEAN  TONS  CAUGHT  PER  SET  WITHIN  CLUSTERS 

Figure  9. — The  average  tons  of  tuna  caught  per  set  while  a 
vessel  was  travelling  between  clusters  versus  the  average  tons 
per  set  within  clusters  with  at  least  three  members.  The  dashed 
line  represents  the  expected  value  if  the  catch  rates  were  equal. 
The  value  of  the  cluster  parameter  equals  100. 

Table  6. — The  ratio  of  the  tons  of  tuna  caught  per  set  within  clus- 
ters with  at  least  3  members  compared  to  tons  caught  per  set 
between  clusters.  The  means  are  the  average  values  for  the  ratio 
within  a  cruise.  Cruises  in  which  100%  of  the  sets  were  within 
clusters  are  not  inlcuded  in  the  results. 


■♦Hammond,  P.  S.  1981.  Some  problems  in  estimating  the 
density  of  dolphin  populations  in  the  eastern  tropical  Pacific 
using  data  collected  aboard  tuna  purse  seiners.  Inter-Am. 
Trop.  Tuna  Comm.  Intern.  Rep. 


Value  of  the  cluster  parameter 

50                   75 

100                 150 

Mean 

173                2.02 

298                2.76 

SE 

0.22                0.379 

0.476              0.499 

Range 

0.41-6.83     0.23-11.18 

0.39-11.68     0.43-8.43 

n 

35                    34 

34                   25 

Number  of 

125                  125 

125                 119 

cruises  in 

which  ratio 

was  greater 

than  1 

'  P  <  0  05  of  getting  the  observed  number  if  the  ratio  equaled  1  by  a  sign  test 
(Snedecor  and  Cochran  1966). 


362 


POLACHECK:  DISTRIBUTION  OF  SEARCHING  EFFORT 


Does  Searching  Behavior  Bias 

the  Overall  Estimate  of 

Dolphin  Encounter  Rates? 

When  the  two  different  methods  of  estimating 
the  overall  encounter  rates  within  a  cruise  are 
compared,  the  adjusted  encounter  rates  tend  to  be 
smaller  (Table  7).  However,  the  differences  are 
not  large,  not  because  the  biases  are  necessarily 
small,  but  because  positive  and  negative  effect  of 
concentrating  searching  effort  tend  to  cancel  each 
other.  Positive  biases  would  be  expected  in  the 
unadjusted  rate  due  to  concentrating  of  searching 
effort  in  clusters  dominated  by  sets  made  in  asso- 
ciation with  dolphins,  since  these  appear  to  be 
areas  of  high  dolphin  densities  (Table  5).  Simi- 
larly, negative  biases  would  be  expected  due  to 
searching  in  non-dolphin  clusters.  For  the  data 
considered  here,  substantial  and  roughly  equal 
amounts  of  searching  occurred  in  both  types  of 
clusters.  The  effects  of  concentrating  searching 
effort  within  the  two  types  of  clusters  tended  to 
cancel  each  other.  This  suggests  that  the  major 
effect  of  nonrandom  searching  on  measures  of 
relative  abundance  of  dolphins  will  change  in  re- 
lationship to  the  importance  of  dolphin  and  non- 
dolphin  fishing.  Such  changes  tend  to  occur  with 
changes  in  the  relative  abundance  of  large  yel- 
lowfin  tuna  compared  to  skipjack  and  small  yel- 
lowfin  tuna. 

DISCUSSION 

The  fundamental  question  in  interpreting  the 
results  of  this  paper  is  whether  the  clusters  that 
have  been  defined  bear  any  relationship  either  to 
the  searching  strategy  of  the  vessels  or  to  the 
underlying  distribution  of  dolphin  and  tuna 
schools.  Two  factors  hamper  answering  this  ques- 
tion: The  first  is  the  large  variability  among  ves- 


sels; the  second  is  the  lack  of  appropriate  null 
hjqjotheses  by  which  to  test  the  results.  The  large 
variability  is  to  be  expected  and  is  inescapable. 
Not  only  is  there  a  large  stochastic  element  in  the 
catch  and  encounter  process,  but  large  differences 
can  be  expected  in  searching  strategies  among 
vessels.  Thus,  a  large  range  exist  in  skill  and 
experience  among  fisherman.  In  addition,  the 
amount  of  information,  which  is  shared  among 
vessels  varies  and  some  vessels  may  be  acting  as 
scouts  for  other  vessels  (Orbach  1975). 

The  specification  of  null  hypotheses  is  difficult 
because  an  infinite  number  of  searching  models 
are  compatible  with  the  definition  of  random 
search  (i.e.,  defining  a  random  search  as  one  in 
which  the  search  path  is  independent  of  the  dis- 
tribution of  the  objects  being  sought).  In  order  to 
actually  model  a  random  searching  process,  the 
probability  of  changing  the  direction  of  the  search 
path  needs  to  be  specified.  A  random  search  could 
encompass  an)^hing  fi-om  Brownian  motion  to 
random  straight  line  crossings  of  an  area.  With  a 
finite  amount  of  searching,  these  will  not  neces- 
sarily yield  the  same  results. 

Most  of  the  results  from  this  paper  are  compat- 
ible with  a  model  of  clustered  searching  for  clus- 
tered prey,  and  some  of  them  seem  hard  to  explain 
unless  the  searching  and  the  schools  of  dolphins 
are  nonrandomly  distributed.  That  the  distance 
travelled  relative  to  the  actual  distances  between 
sets  tends  to  be  greater  in  areas  where  the  density 
of  sets  is  high,  as  is  the  proportion  of  this  distance 
which  is  spent  searching,  are  unlikely  results  un- 
less searching  is  concentrated  in  these  areas. 
Also,  the  higher  encounter  rates  in  clusters  dom- 
inated by  dolphins,  the  comparisons  of  the  dis- 
tances and  frequency  of  the  nearest  set  with  the 
preceding  or  next  set,  and  the  high  percentage  of 
sets  which  fall  into  clusters  are  results  that  would 
be  expected  if  searching,  tuna,  and  dolphins  were 


Table  7. — Comparison  between  the  unadjusted  overall  encounter  rate  (nunnber  of 
schools  of  Stenella  attenuata  per  1 00  miles  of  searching)  for  a  cruise  and  the  encounter 
rate  adjusted  for  possible  bias  due  to  the  concentration  of  searching  within  clusters. 


Number  of  cnjises 

out  of  34  in  which 

the  corrected  esti- 

Cluster 

mate  was  less  than 

parameter 

Mean 

SE 

Range 

the  uncorrected  one^ 

Unadjusted 

0.80 

0.078 

0.00-1.77 

Adjusted 

50 

0.73 

0.074 

0.00-1.66 

27 

75 

0.74 

0.074 

0.00-1.60 

24 

100 

0.75 

0.077 

0.00-1.73 

21 

150 

0.76 

0.078 

0.00-1.78 

21 

'One  cruise  had  no  recorded  sighting  of  spotted  dolphin  schools. 


363 


FISHERY  BULLETIN:  VOL  86,  NO.  2 


spatially  clustered.  Perhaps  the  most  surprising 
result  in  this  context  is  that  the  average  catch  per 
set  tends  to  be  greater  within  the  defined  clusters 
than  outside  of  them.  There  is  nothing  in  the  clus- 
tering algorithm  that  would  tend  to  produce  this 
result.  If  these  larger  catches  per  set  reflect  large 
schools  of  tuna,  this  argues  that  these  defined 
clusters  are  areas  where  tuna  tend  to  concentrate 
and  not  just  areas  of  high  densities  of  sets  that 
could  be  found  in  any  random  distribution. 

Within  many  of  the  cruises,  the  locations  of  two 
or  more  of  the  defined  clusters  overlap  spatially 
(Fig.  10),  indicating  that  vessels  often  return  to 


an  area  after  a  period  of  searching  elsewhere.  In 
addition,  clusters  from  different  cruises  overlap 
spatially  and  temporally.  This  overlapping  of 
clusters  indicates  that  the  overall  searching  be- 
havior is  even  more  nonrandom  than  the  results 
from  this  paper  suggest.  The  overlapping  both 
within  and  among  cruises  is  a  dimension  that 
should  be  considered  in  future  extensions  to  the 
present  work. 

Orbach  (1975),  in  a  nonquantitative,  anthropo- 
logical study  of  the  purse  seine  fishery,  included 
a  general  qualitative  description  of  the  searching 
behavior  of  the  fishermen  which  supports  many  of 


Figure  10. — Examples  of  the  spatial  relation  between  clusters  for  the  two  cruises  depicted  in  Figure  2.  Open  circles  indicate  the 
position  of  all  clusters  with  at  least  three  members.  The  radius  of  each  circle  is  scaled  to  the  estimated  radius  of  a  cluster.  The 
associated  numbers  are  the  number  of  sets  and  chases  within  a  cluster.  Solid  circles  indicate  the  position  of  clusters  with  only  two 
members.  Isolated  sets  are  indicated  by  an  x.  The  value  of  the  clustering  parameter  equals  100.  Arrows  indicate  the  order  of 
movement  between  clusters.  Note  A  and  B  are  drawn  to  different  scales.  Distance  between  tick  msirks  equals  300  miles.  No  geographic 
coordinates  are  given  and  the  orientations  were  rotated  at  random  so  as  not'  to  compromise  any  proprietary  fishing  information. 


364 


POLACHECK:  DISTRIBUTION  OF  SEARCHING  EFFORT 


the  quantitative  results  in  this  paper.  He  stated 
that  fishermen  perceive  two  kinds  of  areas:  The 
first,  in  which  fishermen  refer  to  their  activity  as 
"scratching",  are  regions  where  isolated  schools  of 
fish  are  encountered;  the  second,  which  fishermen 
refer  to  as  an  "area",  are  portions  of  the  ocean 
where  schools  of  tuna  are  congregated.  He  also 
reported  that  isolated  tuna  schools  tend  to  be 
small.  Fishermen  prefer  to  concentrate  in  an 
"area"  and  actively  search  for  them.  I  did  not  be- 
come aware  of  this  study  by  Orbach  until  the  final 
calculations  of  this  paper  were  completed.  Thus, 
his  description  is  an  independent  indication  that 
the  results  are  not  an  artifact  of  the  clustering 
algorithm. 

The  method  used  for  estimating  the  location 
and  size  of  a  cluster  could  be  refined.  Such  refine- 
ments were  beyond  the  scope  of  the  present  work 
and  would  not  affect  any  of  the  main  results. 
However,  such  refinements  might  be  important  if 
the  method  used  for  calculating  the  adjusted  en- 
counter rates  (Table  7)  was  used  to  develop  rela- 
tive abundance  indices  for  dolphins  in  the  ETP. 
As  pointed  out  by  one  reviewer,  the  problem  of 
estimating  the  shape,  size,  and  location  of  a  clus- 


ter is  analogous  to  the  problem  of  determining  the 
home  range  for  an  animal  from  a  set  of  observed 
positions  over  time  (Sanderson  1966;  Cooper 
1978;  Schoener  1981;  Swihart  and  Slade  1985) 
and  is  part  of  the  more  general  problem  of  how  to 
estimate  the  limits  and  size  of  clusters  from  any 
clustering  algorithm.  The  methods  used  for  esti- 
mating home  ranges  cannot  be  directly  applied  to 
the  tuna  boat  observer  data  but  might  provide  a 
basis  for  developing  a  better  estimator  for  these 
statistics  relating  to  cluster  size  in  any  extension 
to  the  present  work. 

To  the  extent  that  the  results  from  this  paper 
indicate  that  searching  is  clustered,  they  suggest 
that  when  these  data  are  used  for  estimating  rel- 
ative densities  of  dolphin  schools,  or  when  catch 
and  effort  data  from  purse  seiners  are  used  to 
assess  tuna  stocks,  rather  fine  geographic  stratifi- 
cations are  needed  to  avoid  biases  from  the  non- 
random  searching  within  a  cruise.  The  estimates 
of  the  cluster  radius  could  be  considered  as  a 
guide  to  appropriate  levels  of  stratification.  For 
example,  from  31  to  46%  of  all  clusters  with  at 
least  three  members  had  a  radius  of  less  than  60 
miles  (Fig.  11).  This  suggests  that  at  a  minimum, 


50  r 


40- 


5    30 
Ui 

u 

oc 
111 
Q.     20 


10  - 


1 

A 

N=230 

_ 

t        t 

1 1               1              1              1 

50 


40  - 


30  - 


20  - 


B 

N=230 

- 

1 

1               1               1 1               1 

30 


60 


90 


120 


150 


180    >180 


30 


60 


90 


120 


150 


180   >180 


40 


30 


lU 

O    20 
c 


10 


C 

N=214 


X 


_L 


X 


X 


_r 


30  60  90  120         150         180    >180 

CLUSTER  RADIUS  (nautical  mllaa) 


40r- 


30- 


20  - 


10  ~ 


- 

] 

D 

N=184 

1 

1 

1 

gj;;: 

1 

1         t 

1 

I 

30  60  90  120         150         180    >180 

CLUSTER  RADIUS  (nautical  miles) 


Figure  11. — The  frequency  distribution  for  estimated  radii  for  all  clusters  with  at  least  three  members.  Estimates  from 
all  cruises  have  been  pooled.  The  values  of  the  clustering  parameter  are     A)  50,     B)  75,     C)  100,  and      D)  150. 


365 


FISHERY  BULLETIN.  VOL.  86,  NO.  2 


a  2°  stratification  would  be  necessary  to  avoid 
biases  in  these  areas. 

ACKNOWLEDGMENTS 

I  wish  to  thank  Peter  Frank  and  Tim  Smith  for 
their  generous  support  and  useful  comments  dur- 
ing the  research  presented  here.  This  paper  would 
not  exist  without  the  data  collected  by  the  Na- 
tional Marine  Fisheries  Service  observers.  I  wish 
to  acknowledge  these  observers  and  the  staff  of 
the  Southwest  Fisheries  Center  of  the  National 
Marine  Fisheries  Service  for  collecting,  editing, 
and  initially  preparing  these  data.  A  number  of 
the  staff  of  the  Southwest  Fisheries  Center  pro- 
vided support  and  technical  assistance  at  various 
stages  in  this  research.  The  number  of  people  in- 
volved is  too  large  to  acknowledge  all  of  them 
individually.  Special  thanks  go  to  Phil  Tarentino, 
Michael  Lichter,  and  Susan  Boyer. 

The  art  department  of  the  Southwest  Fisheries 
Center  were  responsible  for  the  final  preparation 
of  some  of  the  figures.  Veronica  van  Kouwen 
helped  with  the  preparation  of  the  final 
manuscript. 

The  manuscript  is  a  portion  of  a  Ph.D.  Thesis 
submitted  to  the  University  of  Oregon,  Eugene, 
OR. 

LITERATURE  CITED 

Allen,  R.,  and  R.  Punsley. 

1984.     Catch  rates  as  indices  of  abundance  of  yellowfin 
tuna,  Thunnus  albacares ,  in  the  eastern  Pacific  Ocean. 
Inter-Am.  Trop.  Tuna  Comm.  18:303-379. 
Blackburn,  M.,  and  F.  Williams. 

1975.     Distribution  and  ecology  of  skipjack  tuna,  Katsu- 
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Pacific.     Fish.  Bull.,  U.S.  73:382-411. 
Calkins,  T.  P. 

1963.     An  examination  of  fluctuations  in  the  "concen- 
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Trop.  Tuna  Comm.  Bull.  8:255-316. 
Calkins.  T.  P.,  and  B  M  Chadwin. 

1967.  Geographical  distribution  of  yellowfin  tuna  and 
skipjack  catches  in  the  eastern  Pacific  Ocean,  by  quarters 
of  the  year  1963-1966.  Inter-Am.  Trop.  Tuna  Comm. 
Bull.  12:435-508. 

1971.  Geographical  catch  of  yellowfin  and  skipjack  tuna 
in  the  eastern  tropical  Pacific  Ocean,  1967-1970,  and 
fleet  and  total  catch  statistics.  Inter-Am.  Trop.  Tuna 
Comm.  Bull.  15:285-377. 


Clark.  C.  W.,  and  M.  Mangel. 

1983.  Search  theory  in  ecology  and  resouce  manage- 
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388.  Springer  Lecture  Notes  in  Biomathematics,  Vol. 
52.     Springer  Verlag,  N.Y. 

Cooper.  E 

1979.  Home  range  criteria  based  on  temporal  stability  of 
areal  occupation.     J.  Theor.  Biol.  73:687-695. 

GULLAND,  J.  A 

1955.     Estimation  of  growth  and  mortality  in  commerical 
fish  fxipulations.     Fish.  Invest.  Minist.  Agric.  Fish.  Food 
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Helland  Hansen,  B 

1909.     Statistical  research  into  the  biology  of  the  haddock 
and  cod  in  the  North  Sea.     Rapp.  P-v  R6un  10:1-62. 
Koopman,  B  O 

1980.  Search  and  screening.  Pargamon  Press,  N.Y., 
509  p. 

Orbach,  M  K 

1975.  The  cultural  system  of  the  tuna  seinermen  of  San 
Diego,  California.  Ph.D  Thesis,  Univ.  California,  San 
Diego,  CA,  411  p. 

Pazynich,  G  I 

1966.  Primery  primeneniya  teorii  statisticheskiskh  resh- 
enii  k  zadacham  taktiki  promysla  (Examples  of  the  appli- 
cation of  statistical-solution  theory  to  problems  in  the 
fishing  tactics).  Noe  Khoz.  6:80-81.  (Translation 
available  in  the  library  of  National  Marine  Fisheries 
Service  Northeast  Fishery  Laboratory,  Woods  Hole,  MA.) 

Perrin,  W.  F. 

1968.  The  porpoise  and  the  tuna.  Sea  Frontiers  14:166- 
174. 

1969.  Using  porpoise  to  catch  tuna.  World  Fishing 
18:42-45. 

POLACHECK,  T 

1983.  The  relative  abundance  of  dolphins  in  the  eastern 
tropical  Pacific  based  on  encounter  rates  with  tuna  purse 
seiners.     Ph.D  Thesis,  Univ.  Oregon,  Eugene,  OR,  444  p. 

Sall\,  S.  B.,  AND  J  M.  Flowers. 

1979.  Elementary  applications  of  search  theory  to  fishing 
tactics  as  related  to  some  aspects  of  fish  behavior. 
F.A.O.  Conference  on  Fish  Behavior  in  Relation  to  Fish- 
ing Techniques  and  Tactics,  p.  343-355. 

Sanderson,  G. 

1966.  The  study  of  mammal  movements  -  a  review.  J. 
Wildl.  Manage.  30:215-235. 

SCHOENER,  T  W 

1981.  An  empirically  based  estimate  of  home  range. 
Theor.  Popul.  Biol.  20:281-325. 

Snedecor,  G  W  ,  AND  W  C.  Cochran 

1967.  Statistical  methods.  6th  ed.  Iowa  State  Univ. 
Press,  Ames,  593  p. 

Suzuki,  Z  ,  P  K.  Tomlinson,  and  M  Honma. 

1978.     Population    structure    of  Pacific   yellowfin    tuna. 
Inter-Am.  Trop.  Tuna  Comm.  Bull.  17:277-411. 
SwiHART,  R.  K  .  and  N.  a.  Slade. 

1985.  Influence  of  sampling  interval  on  estimates  of  home 
range  size.     J.  Wildl.  Manage.  49:1019-1025. 


366 


A  COMPREHENSIVE  THEORY  ON  THE  ETIOLOGY  OF  BURNT  TUNA 


Cheryl  Watson,'  Robert  E.  Bourke,^  and  Richard  W  Brill^ 


ABSTRACT 

Over  the  past  14  years,  the  Hawaii  handline  fishery  has  experienced  phenomenal  growth  in  the  catch 
for  large  yellowfin  tuna,  Thunnus  albacares,  and  bigeye  tuna,  Thunnus  obesus.  These  fish  are 
primarily  caught  for  the  sashimi  (raw  consumption)  market  but  have  been  continually  plagued  with 
a  product  quality  problem  known  as  "burnt  tuna"  or,  in  Japanese,  yake  niku.  Not  only  does  this 
problem  significantly  reduce  the  value  of  the  catch,  it  also  limits  export  markets  and  expansion  of  this 
low-capital,  high-return  fishery  to  other  areas  of  the  Pacific.  Previous  research  and  suggestions  for 
mitigating  burnt  tuna  have  centered  on  the  hypothesis  that  it  is  caused  by  high  muscle  temperature 
and  low  pH,  which  is  the  result  of  a  violent  struggle  during  capture. 

A  new,  more  comprehensive  hypothesis  is  presented:  Burnt  tuna  is  actually  caused  by  the  p)ost- 
mortem  activation  of  enzymes  known  as  calcium-activated  proteases  and  by  the  enhancement  of  the 
effect  of  these  enzymes  by  high  blood  catecholamine  levels.  Previously  unexplainable  observations, 
such  as  the  propensity  of  female  fish  to  become  burnt  more  often  during  the  summer  months,  the 
efficacy  of  brain  destruction  in  preventing  burnt  tuna,  and  the  lack  of  effect  of  cooling  on  the  incidence 
of  burnt  tuna,  are  explainable  in  light  of  this  new  hypothesis. 


One  of  the  largest  fisheries  in  Hawaii  is  the  hand- 
line  fishery  for  large  (>50  kg)  yellowfin  tuna, 
Thunnus  albacares,  and  bigeye  tuna,  T.  obesus, 
caught  primarily  for  raw  consumption  as  sashimi. 
Yearly  landings  increased  from  89  short  tons  (ex- 
vessel  value,  $131,000)  in  1973  to  615  short  tons 
(ex-vessel  value,  $2.1  million)  in  1984  (Yuen 
1979;  Hudgins  and  Pooley  1987).  The  total  eco- 
nomic value  of  the  fishery  has  been  estimated  as 
high  as  $5  million  yearly  (Ikehara'*).  In  Hawaii, 
the  night  handline  fishery  is  known  as  ika  shibi 
from  the  Japanese  words  for  squid  and  tuna,  and 
the  daytime  fishery  is  known  as  palu  ahi  from  the 
Hawaiian  words  for  chum  and  yellowfin  tuna. 
There  is  also  growing  international  interest  in 
this  tjTDe  of  fishing  because  of  its  low  initial  capi- 
tal investment,  low  operating  and  fixed  expenses, 
strong  export  markets,  and  high  profitability 
(Strong  1979;  Gibson  1981;  Jerrett  1984).  Boats 
can  be  as  small  as  6  m  and  require  only  one-  or 
two-man  crew.  Catch  rates  in  Hawaii  have 
ranged  from  two  fish  per  hook  per  night  (Yuen 


'Pacific  Gamefish  Research  Foundation,  74-425  Kealakehe 
Parkway,  #15,  Kailua-Kona,  HI  96740;  present  address:  De- 
partment of  Physiology,  John  A.  Bums  School  of  Medicine,  Uni- 
versity of  Hawaii,  Honolulu,  HI  96822. 

2465B  Kawailoa  Road,  Kailua,  HI  96734. 

3Southwest  Fisheries  Center  Honolulu  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  2570  Dole  Street,  Honolulu, 
HI  96822-2396. 

^Ikehara,  W.  N.  1981.  A  survey  of  the  ika-shibi  fishery  in 
the  State  of  Hawaii,  1980.  Southwest  Fish.  Cent.  Adm.  Rep. 
H-82-4C,  12  p.  Southwest  Fisheries  Center  Honolulu  Labora- 
tory, National  Marine  Fisheries  Service,  NOAA,  Honolulu,  HI 
96822-2396. 


1979)  to  one-half  fish  per  hook  per  night 
(Bourke^),  illustrating  the  profitability  for  the  in- 
dividual fisherman. 

Unfortunately,  handline  (as  well  as  primarily 
recreational  trolling)  fishermen  are  plagued  by  a 
product  quality  problem  known  as  "burnt  tuna" 
or,  in  Japanese,  as  yake  niku  (literally  translated 
as  "cooked  meat").  When  fish  are  intended  for  raw 
consumption,  product  quality  is  of  utmost  impor- 
tance. Prime  quality  tuna  flesh  should  be  red, 
translucent,  and  firm  and  have  a  delicate  flavor. 
Burnt  tuna  is  pale,  exudes  a  clear  fluid,  and  has 
a  soft  texture  and  a  slightly  sour  taste.  Although 
perfectly  palatable  when  cooked  or  canned,  burnt 
tuna  is  considered  unsuitable  for  raw  consump- 
tion and  commands  only  a  fraction  of  the  price  of 
prime  quality  fish.  Fish  are  usually  exported 
whole  to  preserve  freshness,  so  burnt  tuna  often  is 
not  detected  until  shipping  costs  have  been  in- 
curred. This  discourages  exports  of  tuna  caught 
from  areas  or  via  fishing  techniques  with  high 
incidences  of  the  problem. 

Burnt  tuna  aflects  from  5  to  100%  of  the  tissue 
from  an  individual  fish  and  ranges  from  mild  to 
severe.  Approximately  25%  of  the  fish  caught  by 
the  Hawaii  handline  fishery  are  burnt,  as  are 
50%  of  the  large  yellowfin  tuna  caught  by  com- 
mercial and  recreational  trollers  (Bourke  fn.  5). 


^Bourke,  R.  E.  1985.  Hilo  ikashibi  fishery  1984  survey: 
Problems  of  a  maturing  fishery  and  a  potential  solution  to  the 
burnt  tuna  problem.     Poster  presentation  at  1985  Tuna  Confer- 


Manuscript  accepted  January  1988. 
fishery  BULLETIN:  VOL.  86,  NO.  2,  1988. 


367 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


Annual  losses  to  the  handline  fishery  are  an  esti- 
mated 169^  of  the  value  of  the  total  catch  (Cramer 
et  al.  1981).  The  problem  has  also  been  reported 
in  fish  intended  for  raw  consumption  caught  by 
purse  seine  (Nakamura  et  al.  1977).  Surprisingly, 
the  problem  rarely  occurs  in  fish  caught  by 
longlining  (Williams  1986). 

PAST  RESEARCH  ON  BURNT  TUNA 

The  Japanese  were  the  first  to  investigate  the 
causes  of  burnt  tuna  and  possible  mitigating 
strategies  (Itokawa  1968,  1969).  The  first  con- 
trolled laboratory  investigations  were  those  of 
Nakamura  et  al.  (1977)  and  Konagaya  and  Kona- 
gaya  (1978,  1979).  Nakamura  et  al.  (1977)  con- 
cluded that  high  muscle  temperature  and  low 
muscle  pH  caused  myofibrillar  protein  denatura- 
tion  and  also  noticed  that,  once  denaturation 
began,  it  continued  even  if  the  tissue  was  kept  at 
0°C.  Because  of  the  relatively  high  thermostabil- 
ity of  tuna  myofibrillar  protein  and  because  yake 
niku  occurs  in  species  (e.g.,  frigate  mackerel  and 
sardine)  that  do  not  generate  high  muscle  tem- 
peratures during  struggling,  Konagaya  and  Kon- 
agaya (1978)  concluded  that  acid  denaturation  of 
myofibrillar  proteins  at  moderate  temperatures 
was  the  underlying  cause. 

Cramer  et  al.  (1981)  studied  handline-caught 
yellowfin  tuna  in  Hawaii  and  found  that  the  oc- 
currence of  burnt  tuna  did  not  correlate  with 
muscle  temperature  at  time  of  landing  and  corre- 
lated only  loosely  with  extracellular  muscle  pH. 
Ikehara^  conducted  an  engineering  study  to  de- 
velop methods  to  cool  large  yellowfin  tuna  more 
rapidly,  the  presumption  being  that  rapid  cooling 
would  prevent  muscle  degradation.  Although  suc- 
cessful in  developing  a  technique  to  increase  cool- 
ing of  deep  muscle  temperature,  as  shown  in  Fig- 
ure 1,  there  was  no  apparent  correlation  between 
rate  of  cooling  and  incidence  of  burnt  flesh.  In 
spite  of  this  lack  of  directly  observed  correlation, 
some  publications  designed  for  fishermen  still 
stress  that  high  muscle  temperatures  and  low 
muscle  pH  are  the  prime  causes  of  burnt  tuna 
(Gibson  1981).  Others  have  expressed  doubt  as  to 
the  validity  of  this  hypothesis  (Jerrett  1984). 

The  high  muscle  temperature-low  pH  hypothe- 
sis appears  to  fit  with  what  is  known  about  tuna 
physiology,  in  that  these  fishes  are  capable  of  pro- 


ducing muscle  temperatures  significantly  above 
ambient  (Carey  et  al.  1971;  Carey  1973)  and  ex- 
hibit some  of  the  highest  rates  of  muscle  glycoly- 
sis (production  of  muscle  lactate  and  concomitant 
production  of  acidity)  observed  in  nature 
(Hochachka  et  al.  1978;  Hochachka  and  Momm- 
sen  1983).  Yet  some  observations  do  not  fit  this 
hypothesis.  For  example,  burnt  tuna  occurs  more 
frequently  in  summer,  more  frequently  in  female 
fish,  and  more  frequently  in  fish  fought  for  short 
periods  of  time  than  in  fish  fought  for  long  periods 
(>7  minutes  or  <2  hours)  (Davie  and  Sparksman 
1986;  Nakamura^).  Furthermore,  burnt  tuna  oc- 
curs rarely  in  longline-caught  fish  and  in  fish 
subjected  to  brain  or  spinal  column  destruction 
immediately  following  capture  (Nakamura  et  al. 
1977;  [Suisan  Sekai]  1977;  Cramer  et  al.  1981; 
Davie  and  Sparksman  1986;  Nakamura  fn.  7). 
The  hypothesis  that  burnt  tuna  is  caused  by  high 
muscle  temperature  and  low  muscle  pH  does  not 
seem  to  directly  fit  with  any  of  these  observa- 
tions. 

A  NEW  ANALYSIS  OF  THE  BURNT 
TUNA  PROBLEM 

At  the  biochemical  level,  the  high  muscle 
temperature-low  pH  h3rpothesis  would  predict 
that  the  observed  drop  in  extracellular  pH  would 
be  accompanied  by  a  similar  drop  in  intracellular 
pH  and  activation  of  lysosomal  proteases.  These 
proteases  would  then  degrade  actin  and  myosin, 
the  dominant  muscular  proteins,  resulting  in  the 


'^R.  Nakamura,  Department  of  Animal  Sciences,  University  of 
Hawaii,  Honolulu,  HI  96822,  pers.  commun.  October  1987. 


o 

LJ 

I— 
< 

a: 


o 
I/) 

Q. 
LiJ 


□  UKN  1 

30.0 

^^=!5-- 

NOT  BURNT 

^^> 

"~^^^^^ 

•-« 

.^^_^^6.2) 

20.0 

\ 

s 
s 

\ 

~~^~~^  (64.4) 

(M.9) 

\s._^                N. 

(103.0)              ^  -  ^ 

~(62.1) 

"(61.7) 

10.0- 

■ 

X,,^^ 

9.0 
8.0 

(99.8  ) 

7.0- 

1 

— 1 1- 



— 1 1 

H 1 1 1 1 

10         11 


ELAPSED  TIME  (h) 


^Ikehara,  W.  N.  1981.  Development  of  a  small-boat  chill- 
ing system  for  the  reduction  of  burnt  tuna.  Final  Report  for  a 
Pacific  Tuna  Development  Foundation  contract,  var.  pag. 


Figure  1. — Data  are  from  Ikehara  (text  fn.  6).  Initial  and  final 
deep  muscle  temperatures  are  plotted  on  semilogarithmic  axes 
to  linearize  the  rate  of  temperature  change.  Numbers  in  paren- 
theses are  the  body  weight  (kg)  for  each  fish. 


368 


WATSON  ET  AL  :  ETIOLOGY  OF  BURNT  TUNA 


undesirable  changes  seen  in  burnt  tuna.  The  lyso- 
somal proteases,  specifically  cathepsins  B,  D,  and 
L,  have  an  optimum  pH  of  about  5  (Dahlmann  et 
al.  1984).  However,  recent  work  by  Abe  et  al. 
(1985,  1986)  has  shown  that,  intracellularly,  tuna 
muscle  is  well  buffered  and  that  a  fall  in  extracel- 
lular pH  is  not  necessarily  accompanied  by  an 
equivalent  fall  in  intracellular  pH.  Using  is- 
chemic rat  gastrocnemius  muscle,  Hagberg 
(1985)  found  that  a  1  pH  unit  drop  (7.30-6.36)  in 
extracellular  pH  was  accompanied  by  a  drop  in 
intracellular  pH  of  only  0.4  unit  (7.00-6.60). 
Thus,  the  acidic  intracellular  environment  that 
would  favor  the  action  of  the  lysosomal  proteases 
probably  is  not  present  in  burnt  tuna.  Also,  with 
the  exception  of  calcium-activated  neutral 
protease,  all  other  muscle  proteases  (cathepsins 
B,  D,  L;  alkaline  serine  protease;  neutral  trypsin- 
like  protease;  and  alkaline  cysteinyl  protease)  de- 
grade myosin  (Dahlmann  et  al.  1984).  Yet 
Hochachka  and  Brill  (1987)  found  burnt  muscle 
had  no  increase  in  3-methyl-histidine,  a  specific 
marker  for  myosin  breakdown.  Decomposition  of 
other  myofibrillar  proteins  is,  therefore,  impli- 
cated. 

Electronmicrographs  of  postmortem  burnt  tuna 
muscle  (Davie  and  Sparksman  1986)  showed  a 
consistent,  rapid  disintegration  of  Z-discs  and  ir- 
regularities in  the  sarcoplasmic  reticulum  (SR). 
The  changes  in  burnt  muscle  were  not  different  in 
kind  from  postmortem  changes  seen  in  unburnt 
tissue,  but  were  a  result  of  a  significant  increase 
in  the  rate  of  disintegration.  Selected  destruction 
of  the  Z-discs,  troponin  and  tropomyosin,  and  the 
SR  is  characteristic  of  a  pair  of  proteases  known 
as  calcium-activated  neutral  proteases  (CANP's) 
(Sugita  et  al.  1984;  Suzuki  et  al.  1984).  These 
proteases  are  cytoplasmic,  ubiquitous,  activated 
by  increased  intracellular  calcium  levels,  and  ac- 
tive at  pH  5.5-8.0  (Sakamoto  and  Seki  1985; 
Koohmaraie  et  al.  1986;  Seki  and  Kimura  1986; 
Zeece  et  al.  1986b).  The  intracellular  pH  most 
likely  found  in  burnt  tuna  muscle  is,  therefore, 
more  consistent  with  CANP  action  than  with 
lysosomal  proteases  whose  activity  requires  a  pH 
closer  to  4.5  (Hochachka  and  Brill  1987).  In  addi- 
tion, while  cathepsin  D's  activity  is  greatly  re- 
stricted at  15°C,  CANP  is  still  active  at  5°C 
(Koohmaraie  et  al.  1986;  Zeece  et  al.  1986a). 

A  new  etiology  of  burnt  tuna  proposed  by 
Hochachka  and  Brill  (1987)  is  summarized  in  Fig- 
ure 2.  Their  hypothesis  predicts  that  low  intracel- 
lular ATP  concentrations  lead  to  the  leaking  of 
Ca"^^  into  the  cell  and  increases  in  intracellular 


INTENSE  MUSCLE  ACTIVITY 

I 

LACK  OF  02  +  ATP 

i 

METABOUC  COLLAPSE  OF  MEMBRANE 

i 

RISE  IN  INTRACELLULAR  CALCIUM 


i 

02 

i 

PSE 

i 

LLU 

i 

IN  0 

i 


ACTIVATION  OF  CANP 

i 

UNDESIRABLE  MUSCLE  TEXTURE 


Figure  2. — Biochemical  reac- 
tions involved  in  the  development 
of  burnt  tuna  as  proposed  by 
Hochachka  and  Brill  (1987). 


Ca"^^  concentrations.  These  increases,  in  turn,  ac- 
tivate CANP,  which  specifically  attacks  troponin, 
tropomyosin,  SR,  and  mitochondria.  The  break- 
down of  the  latter  two  intracellular  organelles 
releases  more  calcium  into  the  cytoplasm,  thus 
further  increasing  the  activity  of  CANP. 

The  effect  of  brain  and  spinal  cord  destruction 
on  reducing  the  incidence  of  burnt  tuna  and  of 
similar  muscle  degradation  seen  in  other  fish  spe- 
cies can  be  explained  by  this  new  hypothesis, 
which  assumes  the  initial  drop  in  ATP  is  the  root 
cause  of  the  elevated  intracellular  calcium 
(Amano  et  al.  1953;  Fujimaki  and  Kojo  1953; 
Konagaya  and  Konagaya  1978;  Ikehara  fn.  6). 
Brain  destruction  maintains  elevated  muscle 
ATP  levels  after  capture  (Boyd  et  al.  1984).  Data 
recently  collected  on  the  use  of  brain  and  spinal 
cord  destruction  in  large  yellowfin  tuna  (Fig.  3) 


40 

I- 

I   35 
m 

g   30 


m 

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JAN 


MAR 


MAY  JUL 

MONTH 


SEP  NOV 


Figure  3. — Incidence  of  burnt  tuna  occurring  in  large  yellowfin 
tuna  caught  by  14  commercial  handline  fishermen  operating 
out  of  Hilo,  HI,  January-September  1984,  and  by  1  fisherman 
who  began  using  brain  destruction  in  May.  His  incidence  offish 
becoming  burnt  dropped  dramatically  in  spite  of  the  normal 
summer  increased  incidence  seen  in  the  catch  of  14  other  fisher- 
men. 


369 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


clearly  show  the  effectiveness  of  this  technique  in 
preventing  burnt  tuna.  A  drop  from  30  to  <  10%  of 
the  tuna  becoming  burnt  was  noted  when  the 
fisherman  changed  his  killing  technique  from 
shooting  to  the  use  of  a  brain  spike. 

A  MORE  COMPREHENSIVE 

HYPOTHESIS  ON  THE  ETIOLOGY 

OF  BURNT  TUNA 

The  hypothesis  presented  by  Hochachka  and 
Brill  (1987)  does  not  explain  all  the  observed  fac- 
tors leading  to  tunas'  different  propensity  to  be- 
come burnt.  It  cannot  explain  why  tunas  strug- 
gling for  <7  minutes  rarely  become  burnt 
(Nakamura  fn.  7),  nor  can  it  account  for  the  obser- 
vations of  Davie  and  Sparksman  (1986)  and 
Bourke  (unpubl.  data),  who  found  that  tuna 
struggling  for  extended  (>1  hour)  periods  of  time 
have  a  lower  probability  of  becoming  burnt.  It 
also  cannot  explain  why  female  fish  become  burnt 
more  often  than  males  (Nakamura  et  al.  1977),  or 
why  fish  caught  in  summer  become  burnt  more 
often  (Fig.  3). 

Our  revised  hypothesis  is  presented  in  Figure 
4.  We  have  incorporated  into  the  Hochachka  and 
Brill  (1987)  hypothesis,  the  action  of  the  neuro- 
transmitters-hormones  norepinephrine  (NE)  and 
epinephrine  (E)  (collectively  referred  to  as  cate- 
cholamines). Periods  of  intense  physical  activity 
or  capture  stress  increase  the  levels  of  circulating 
catecholamines  by  about  10-200  times  in  fish 
other  than  tunas  (Nakano  and  Tomlinson  1967; 
Ling  and  Wells  1985).  Most  likely  a  similar  situa- 
tion occurs  in  tuna  during  hooking,  fighting,  and 
capture.  The  importance  of  elevated  circulating 
catecholamines  in  this  particular  schema  comes 


INTENSE  MUSCLE  ACTIVITY 

i 

LACK  OF  02  +  ATP 

i 

METABOUC  COLLAPSE  OF  MEMBRANE 

i 

RISE  IN  INTRACELLULAR  CALCIUM 

i 

ACTIVATION  OF  CANP 


STRESS  OF  CAPTURE 


NE  &  E  RELEASE 


■INCREASE  OF  CANP  ACTION  ■ 


from  their  potentiating  effect  on  the  action  of 
CANP.  Catecholamines  cause  the  phosphoryla- 
tion of  troponin,  resulting  in  a  more  rapid  and 
prolonged  proteolysis  of  this  muscle  structure 
(Toyo-oka  1982);  in  other  words,  high  circulating 
levels  of  catecholamines  greatly  increase  the  ef- 
fectiveness of  the  enzymes  responsible  for  a  tuna 
becoming  burnt. ^ 

The  gills  are  the  organ  primarily  responsible 
for  the  degradation  of  catecholamines,  and  circu- 
lating catecholamines  are  rapidly  cleared  from 
the  blood  (Nekvasil  and  Olson  1986).  We  estimate 
circulating  catecholamines  in  tuna  have  a  half- 
life  of  30  minutes  or  less.  Therefore,  we  hypothe- 
size that,  in  a  longline-caught  fish  remaining  in 
the  water  for  several  hours  after  hooking  (Davie 
and  Sparksman  1986),  plasma  catecholamines 
are  reduced  to  low  levels  before  the  fish  is  landed 
and  killed,  thus  resulting  in  a  low  percentage  of 
burnt  fish.  Similarly,  fish  caught  by  rod  and  reel 
or  by  handline  and  fought  for  several  hours  would 
have  the  low  circulating  catecholamine  levels  and 
low  propensity  to  become  burnt.  Indeed,  Gibson 
(1981)  recommends  that  handline-caught  fish  be 
attached  to  a  buoy  and  left  for  an  hour  prior  to 
being  brought  on  board  and  killed,  as  a  measure 
to  prevent  burnt  tuna.  That  this  technique  pre- 
sumably lowers  blood  catecholamine  levels  prior 
to  death  could  explain  its  efficacy.  On  the  other 
hand,  we  hypothesize  that  a  fish  landed  during 
the  peak  of  its  blood  catecholamine  concentra- 
tions would  have  the  greatest  propensity  for  be- 
coming burnt.  This  indeed  appears  to  be  the  case. 

The  mechanism  that  ties  catecholamines  to  the 
observed  seasonality  and  increased  number  of  fe- 
male fish  becoming  burnt  lies  in  the  biochemical 
structural  similarity  of  catecholamines  and  re- 
productive steroids,  particularly  estrogen.  These 
steroids  reach  a  peak  during  spawning  season, 
which  is  May  through  October  for  yellowfin  tuna 
in  Hawaii  (June  1960).  A  corresponding  increase 
occurs  in  the  percentage  of  the  tuna  catch  that 
becomes  burnt  during  this  season  (Fig.  3).  In  the 
presence  of  tyrosine  hydroxylase,  estrogen  is  con- 
verted to  catecholestrogen  and  consequently  com- 
petes for  the  same  degradative  enzymes  in  the 
gills,  therefore  slowing  the  clearance  of  cate- 
cholamines from  the  blood  (Nekvasil  and  Olson 
1986).  Female  fish,  with  high  circulating  estro- 
gen levels,  would  then  be  expected  either  to  reach 


UNDESIRABLE  MUSCLE  TEXTURE 

Figure  4. — Comprehensive  theory  of  the  etiology  of  burnt  tuna 
proposed  in  this  paper. 


^Although  Cortisol  is  also  known  to  be  released  during  stress, 
its  mechanism  of  action  is  much  slower  than  NE  or  E,  making 
it  unlikely  that  it  could  exert  catabolic  effects  within  15  min- 
utes. 


370 


WATSON  ET  AL.:  ETIOLOGY  OF  BURNT  TUNA 


higher  maximum  circulating  catecholamine  lev- 
els or  to  maintain  high  levels  for  longer  periods, 
thus  explaining  the  greater  number  of  female  fish 
that  become  burnt  and  the  seasonality  of  the  oc- 
currence of  burnt  tuna. 

As  pointed  out  by  Davie  and  Sparksman  (1986) 
and  Hochachka  and  Brill  (1987),  burnt  tuna  is  a 
quantitative  change  in  tissue  decomposition,  not 
a  qualitative  one.  High  blood  catecholamine  lev- 
els at  the  time  of  death  act  as  accelerators  in  this 
inevitable  metabolic  cascade.  However,  because 
we  are  dealing  with  a  change  in  rate,  the  action  of 
catalysts  can  make  all  the  difference  as  to 
whether  or  not  a  fish  becomes  burnt  due  to  CANP. 

FUTURE  RESEARCH 

Under  normal  conditions,  CANP  is  inhibited  by 
calpastatins.  This  class  of  proteins  is  distinct  from 
the  other  cysteine  protease  inhibitors,  the  cys- 
tatins.  Although  the  cystatins  can  inhibit  cathep- 
sins  B  and  H,  they  are  unable  to  alter  CANP 
activity.  Conversely,  calpastatin  is  only  effective 
against  calcium-activated  neutral  protease  (Bar- 
rett et  al.  1986;  Parkes  1986).  Unfortunately,  al- 
most nothing  else  is  known  about  the  relationship 
of  CANP  to  its  endogenous  inhibitor,  either  struc- 
turally or  physiologically.  Certainly  investiga- 
tions into  the  role  of  calpastatin  would  prove 
valuable  for  this  research. 

Immediate  future  research  will  concentrate  on 
tracking  the  specific  action  of  CANP  in  burnt 
tuna  and  attempting  to  stop  this  action  with  Ca^  ^ 
chelating  agents  such  as  EGTA  (ethyleneglycol- 
bis-(aminoethyl  ether  )-N,N,N',N'-tetraacetic 
acid)  or  by  use  of  its  intracellular  inhibitor,  cal- 
pastatin. Also,  blood  catecholamine  levels  of 
stressed  and  unstressed  fish  will  be  measured, 
along  with  metabolic  clearance  rates  of  nore- 
pinephrine and  epinephrine. 

When  viewed  as  a  process  of  metabolic  deregu- 
lation of  CANP,  the  rapid  deterioration  of  tuna 
muscle  ceases  to  be  an  isolated  muscular  phe- 
nomenon. The  Z-disc  disintegration  characteris- 
tic of  burnt  tuna  is  also  present  in  cardiac  muscle 
injury  due  to  ischemia  and  muscular  dystrophy 
(Sugita  et  al.  1984).  Given  the  highly  conserved 
nature  of  muscle  tissue,  an  understanding  of 
burnt  tuna  may  also  provide  insights  into  the 
metabolic  processes  of  human  disease. 

ACKNOWLEDGMENTS 

This  research  was  supported  by  a  grant  to 


Pacific  Gamefish  Research  Foundation  from  the 
Department  of  Land  and  Natural  Resources,  Di- 
vision of  Aquatic  Resources,  State  of  Hawaii. 


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372 


REPRODUCTIVE  BIOLOGY  OF 
THE  SPOTTED  SEATROUT,  CYNOSCION  NEBULOSUS ,  IN  SOUTH  TEXAS^ 

Nancy  Brown-Peterson,^  Peter  Thomas,^  and  Connie  R.  Arnold' 

ABSTRACT 

The  spotted  seatrout,  Cynoscion  nebulosus,  spawns  from  April  through  the  end  of  September  in 
shallow  bays  in  South  Texas.  All  females  were  sexually  mature  at  300  mm  SL  and  males  at  200  mm 
SL.  Histological  examination  of  the  testes  showed  that  spermatogenesis  began  in  January  and  contin- 
ued until  September,  although  spermatozoa  remained  in  the  testes  until  November.  Spermatogenesis 
was  more  active  in  the  peripheral  lobules  of  the  testes  than  in  the  central  lobules  during  the  latter 
half  of  the  spawning  season.  The  sequence  and  timing  of  final  oocyte  maturation  (FOM)  was  investi- 
gated for  the  first  time  in  this  species.  Lipid  coalescence  began  at  dawn  and  germinal  vesicle  migra- 
tion started  by  midmoming.  By  early  afternoon,  oocj^tes  were  hydrated  and  spawning  occurred  at 
dusk. 

Evidence  of  multiple  spawning  was  examined.  Morphological  and  histological  data  showed  that 
oocytes  were  continually  recruited  from  March  through  the  end  of  September,  and  the  percentages  of 
vitellogenic  and  fully  yolked  oocytes  did  not  decline  during  the  spawning  season.  An  average  of  only 
15.5%  of  the  vitellogenic  oocytes  underwent  FOM  and  hydration  during  a  single  spawn.  Postovulatory 
follicles  were  found  in  many  fish  with  mature  ovaries  throughout  the  reproductive  season.  Laboratory 
studies  showed  that  this  species  is  capable  of  repeated  spawns.  Batch  fecundity  was  best  predicted  by 
ovary-free  body  weight  of  the  fish  and  averaged  451  ±43  eggs/g  ovary-free  body  weight.  Estimates 
of  spawning  frequency  ranged  from  every  other  day  to  once  every  three  weeks. 


The  spotted  seatrout,  Cynoscion  nebulosus ,  sup- 
ports important  commercial  and  recreational 
fisheries  throughout  its  range  (Chesapeake  Bay, 
Virginia  to  Tampico,  Mexico;  Tabb  1966). 
Whereas  aspects  of  the  reproductive  biology  of 
this  sciaenid  species  have  been  documented 
throughout  its  range  (i.e.,  Chesapeake  Bay: 
Brown  1981;  Georgia:  Mahood  1975;  Florida: 
Moody  1950,  Klima  and  Tabb  1959,  Tabb  1961; 
Mississippi:  Overstreet  1983;  Louisiana:  Hein 
and  Shepard  1979;  Texas:  Pearson  1929,  Miles 
1950,  1951),  a  comprehensive  study  of  reproduc- 
tion in  spotted  seatrout  does  not  exist  for  any 
area.  An  extensive  knowledge  of  the  reproductive 
life  history  of  a  species  is  necessary  to  understand 
certain  aspects  of  its  reproductive  physiology  and 
endocrinology.  Most  previous  studies  have  con- 
centrated on  the  size  at  sexual  maturity  and  the 
extended  spawning  season  of  this  species  (Pear- 
son 1929;  Moody  1950;  Tabb  1961;  Mahood  1975). 
A  protracted  spawning  season  is  generally  char- 


iContribution  No.  696,  University  of  Texas  at  Austin,  Marine 
Science  Institute,  Port  Aransas,  TX  78373. 

2Marine  Science  Institute,  University  of  Texas  at  Austin, 
Port  Aransas,  TX;  present  address;  Florida  Department  of  Nat- 
ural Resources,  Indian  River  Lagoon  Aquatic  Preserves,  4842  S. 
U.S.  Highway  1,  Fort  Pierce,  FL  34982. 

3Marine  Science  Institute,  University  of  Texas  at  Austin, 
Port  Aransas,  TX  78373. 


Manuscript  accepted  February  1988. 
FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


acteristic  of  multiple  spawners  (Nikolskii  1969). 
In  addition,  Overstreet's  (1983)  histological  data 
suggest  that  C.  nebulosus  may  be  a  multiple 
spawner.  However,  the  possibility  that  spotted 
seatrout  are  multiple  spawners  has  not  been  thor- 
oughly discussed  in  the  literature,  and  previous 
estimates  of  fecundity  (Sundararaj  and  Suttkus 
1962;  Overstreet  1983)  have  not  considered  the 
multiple  spawning  nature  of  C.  nebulosus  or  have 
included  estimates  of  batch  fecundity. 

In  the  present  study,  the  reproductive  biology 
of  C.  nebulosus  in  South  Texas  was  investigated, 
and  particular  attention  was  given  to  evidence  for 
multiple  spawning  and  estimates  of  batch  fecun- 
dity and  spawning  frequency.  The  spawning  sea- 
son, spawning  sites,  time  of  spawning,  and  per- 
centage of  running  ripe  fish  were  documented.  In 
addition,  the  temporal  pattern  of  final  oocyte 
maturation  was  determined.  The  histological  ap- 
pearance of  the  gonads  was  examined,  and  partic- 
ular attention  was  given  to  the  presence  of  post- 
ovulatory follicles  in  ovarian  tissue,  an  indicator 
of  multiple  spawning  in  the  northern  anchovy, 
Engraulis  mordax  (Hunter  and  Goldberg  1980). 
The  size-frequency  distribution  of  vitellogenic 
oocytes  was  examined,  since  this  can  indicate 
multiple  spawning  (deVlaming  1983).  Batch  fe- 
cundity was  determined  and  spawning  frequency 

373 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


was  estimated  from  both  field-caught  and  labora- 
tory fish. 

MATERIALS  AND  METHODS 
Collection  of  Samples 

Spotted  seatrout  were  collected  in  Redfish  Bay 
or  Lydia  Ann  Channel  near  Port  Aransas,  TX, 
U.SA.  at  depths  of  1-3  m  (Fig.  1).  Fish  were  cap- 
tured using  a  300  m  gill  net  (82  mm  stretch)  or  a 
300  m  trammel  net  (outer  panels,  178  mm 
stretch;  inner  panel,  89  mm  stretch)  over  shallow 
beds  of  turtle  grass,  Thalassia  testudinum  or 
shoal  grass,  Halodule  wrightii,  bordered  by  a  1-2 
m  drop-off  into  a  channel.  Fish  <300  mm  SL  were 
captured  with  hook  and  line  in  1-2  m  of  water. 

Samples  were  collected  weekly  or  twice 
monthly  from  March  1982  through  early  May 
1985.  No  samples  were  taken  in  November  and 
December  1983,  October  and  December  1984,  and 
February  1985.  During  1982,  samples  were  col- 
lected at  dusk  only;  in  1983, 1984,  and  1985,  sam- 
ples from  dawn,  midday,  and  midnight  were  also 
taken.  During  each  sampling  period,  salinity  and 


temperature  were  recorded  as  well  as  the  time  of 
capture. 

Analysis  of  Fish  and  Gonads 

Total  length  (TL)  and  standard  length  (SL) 
were  measured  to  the  nearest  mm  for  each  speci- 
men and  total  body  weight  (WT)  was  determined 
to  the  nearest  10  g.  Gonads  were  removed  and 
weighed  to  the  nearest  0.1  g  (gonad  weight,  GW) 
and  the  gonadosomatic  index  (GSI)  was  calcu- 
lated, using  the  formula:  GSI  =  (GWAVT)  x  100. 

Reproductive  stage  of  the  gonads  was  assessed 
macroscopically  using  the  criteria  in  Table  1.  The 
macroscopic  criteria  used  were  similar  to  those 
used  by  Overstreet  (1983)  and  Macer  (1974).  A 
small  portion  of  tissue  was  removed  from  the 
anterior  or  midsection  of  one  gonad  from  each  fish 
and  preserved  in  Davidson's  fixative  for  histolog- 
ical analysis  (Jones  1966).  Tissues  were  dehy- 
drated and  embedded  in  paraffin.  Seven  micron 
sections  were  cut  and  stained  with  Harris'  hema- 
toxylin and  counterstained  with  eosin.  Reproduc- 
tive stage  of  each  sample  was  assessed  microscop- 
ically using  the  criteria  in  Table  1.  Fish  with 


^Area  enlarged 


Gulf  of  Mexico 

Figure  1. — Location  of  spotted  seatrout  sampling  sites  in  South  Texas.  Asterisks  denote  sampling  sites. 


374 


BROWN-PETERSON  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  THE  SPOTTED  SEATROUT 


mature  gonads  were  considered  sexually  mature. 
The  microscopic  criteria  used  were  similar  to 
those  described  by  Yamamoto  (1956),  Hyder 
(1969),  and  Macer  (1974).  The  percentages  of  each 
stage  of  oocyte,  atretic  structures,  and  postovula- 
tory  follicles  were  determined  from  histological 
slides  of  the  ovaries  of  females  >305  mm  SL  by 


lected  fields  of  view.  An  oocyte  was  counted  if 
>50%  of  the  cell  was  in  the  field  of  view.  Two 
hundred  and  fifty  to  500  oocytes  were  counted  for 
each  histological  specimen. 

A  small  portion  of  tissue  (<0.5  g)  was  removed 
from  the  center  of  each  ovary  of  females  >305  mm 
SL  collected  in  1984  and  1985,  placed  in  clearing 


slides  of  the  ovaries  of  females  >305  mm  SL  by        SL  collected  in  1984  and  1985,  placed  in  clearing 
counting  all  the  oocytes  in  three  randomly  se-        solution  (6  parts  ethanol,  3  parts  formalin,  1  part 


Table  1 . — Criteria  used  to  describe  gonadal  reproductive  stages  of  male  and  female  spotted  seatrout  collected  in  South  Texas. 


Stage 


Sex 


Macroscopic  appearance 


Microscopic  appearance 


Immature 


Regressed 


M 

Early 
developing 

F 

M 

Developing 

F 

Mature 


Ripe 


Running 
ripe  or 
spawning 


Partially 
spent 


Spent 


F  Ovary  small,   thin,   light   pink,   slight  vasculariza- 

tion.    GSI  range:  0.39-0.55. 

M  Testes  small,  thin,  light  grey,  appearance  similar  to 
mesentery. 

F  Ovary  small,  light  pink,  vascularization  more  obvious 

than  in  immature  fish.     GSI  range:  0.39-1.16. 


Testes  small,  thin,  white,  slightly  larger  than  imma- 
ture fish.     GSI  range:  0.04-0.20. 

Ovary  similar  to  regressed  fish  but  slightly 
larger.     GSI  range:  0.80-1.26. 

Testes  similar  to  regressed  fish  but  slightly 
larger.     GSI  range:  0.16-0.48. 

Ovary  visably  enlarged,  light  yellow,  highly  vascular, 
approximately  60%  of  the  length  of  the  body  cav- 
ity.   GSI  range:  0.95-2.6. 


M  Testes  thickened,  creamy  white,  no  free  milt  ex- 
pelled when  cut.    GSI  range:  0.21-0.68. 

F  Ovary  large,  brilliant  yellow  orange,  oocytes  visible 

to  naked  eye,  vascularization  prominent.  Ovaries 
80-90%  length  of  body  cavity.  GSI  range:  2.5- 
9.6. 

M  Testes  creamy  white,  thicker,  more  firm  and  elon- 
gated than  developing  testes.  A  small  amount  of 
milt  expelled  when  cut.     GSI  range:  0.54-1.42. 

F  Oocytes  hydrated,  ovary  looks  clear,  takes  up  al- 
most entire  body  cavity,  highly  vascular- 
ized.    GSI  range:  12.5-19.9. 

M  Testes  white,  swollen,  milt  does  not  flow  with  light 
pressure,  but  flows  freely  when  cut.  GSI  range: 
1.07-1.62. 

F  Hydrated  oocytes  expelled  with  little  to  no  pressure, 

ovary  fluid,  fills  almost  entire  body  cavity.  GSI 
range:  7.7-17.6. 

M  Testes  creamy  white,  milt  freely  flowing  with  slight 
pressure.     GSI  range:  1.41-3.84. 

F  Ovary  looks  similar  to  mature  condition  but  more 

flacid;  occupies  smaller  percentage  of  body  cav- 
ity.    GSI  range:  2.0-5.3. 

M  Tests  looks  the  same  as  running  ripe  but 
smaller.     GSI  range:  0.85-1.77. 


F  Ovary  flacid  but  still  highly  vasculahzed,  no  longer 

than  50%  of  body  cavity,  pinkish  in  color.  GSI 
range:  1.33-2.63. 

M  Testes  flacid,  width  reduced,  white.  GSI  range: 
0.13-0.80. 


Only  primary  oocytes  present;  no  atretic  oocytes. 

Lamellar  margin  thin. 
Only  primary  spermatogonia  present. 

Primary  chromatin  nucleolar  and  early  perinuceolar 
stage  oocytes.  Some  atretic  oocytes.  Lamellar 
margin  thicker  than  immature,  more  convoluted. 

Primary  and  secondary  spermatogonia  present. 

Appearance  of  late  perinucleolar  oocytes  and  ph- 
mary  cortical  alveoli  stage  oocytes.  No  atretic 
oocytes  present. 

Many  secondary  spermatogonia  and  primary  sper- 
matocytes. 

Oocytes  in  secondary  cortical  alveolar  stage  and 
yolk  granule  stage.  Many  oocytes  still  in  primary 
cortical  alveolar  stage.  Early  yolk  globular  stage 
present. 

All  stages  of  spermatogenesis  present,  with  few  pri- 
mary spermatogonia  and  free  spermatozoa.  Pri- 
mary and  secondary  spermatocytes  predominate. 

Oocytes  in  yolk  globular  stage  most  common.  Yolk 
and  oil  globules  begin  to  encroach  on  nucleus. 
Largest  oocytes  range  from  300  to  375  y.m. 

No  primary  spermatogonia  present,  some  second- 
ary spermatogonia.  Secondary  spermatocytes 
and  spermatids  most  numerous.  Spermatozoa  in 
central  lobules. 

Many  hydrated  oocytes,  irregularly  shaped, 
eosinophilic.  Other  oocytes  in  yolk  granular  and 
yolk  globular  stages. 

Spermatozoa,  spermatids  and  secondary  spermato- 
cytes predominate.  Few  to  no  spermatogonia. 
Central  lobules  filled  with  spermatozoa. 

Same  as  ripe  ovaries  but  fewer  hydrated  oocytes. 
Atretic  and  postovulatory  follicles  may  be  present. 

Same  as  ripe  fish,  but  spermatozoa  evident  in  sperm 
ducts. 

Similar  to  mature  ovary,  except  atretic  oocytes  in 
several  stages  of  degeneration  always  evident. 
Postovulatory  follicles  occasionally  present. 

No  spermatogonia,  few  primary  spermatoocytes. 
Most  active  spermatogenesis  in  peripheral  lob- 
ules. Spermatozoa  partially  filling  lobules  and 
abundant  in  sperm  ducts. 

Massive  atresia  of  all  remaining  vitellogenic  oocytes. 
Many  primary  and  chromatin  nucleolar  oocytes 
present.  Lamellar  membrane  highly  convoluted. 

Spermatozoa  present  in  some  lobules.  Most  lobules 
small,  with  only  primary  and  secondary  sper- 
matogonia. 


375 


FISHERY  BULLETIN:  VOL,  86,  NO.  2 


glacial  acetic  acid),  and  vigorously  shaken  for  30 
seconds.  Within  a  few  minutes  the  cytoplasm 
cleared  and  the  germinal  vesicle  could  be  easily 
observed  microscopically.  Ovarian  fragments 
were  taken  from  females  collected  at  the  spawn- 
ing site  over  a  24-h  period,  placed  in  clearing  solu- 
tion and  then  examined  under  low-power  magni- 
fication to  determine  the  stage  of  final  oocyte 
maturation. 

Oocyte  Size-Frequency  Distributions 
and  Estimates  of  Batch  Fecundity 

To  determine  fecundity  and  the  frequency  dis- 
tribution of  oocyte  diameters,  a  2-15  g  piece  of 
tissue  was  removed  from  the  midsection  of  the 
ovaries  of  57  fish  and  weighed  to  the  nearest 
0.01  g.  The  tissues  were  placed  in  a  modified 
Gilson's  solution  (Bagenal  1966)  for  3-12  months 
and  periodically  shaken  to  separate  the  oocytes 
from  connective  tissues.  Ovaries  containing  hy- 
drated  oocytes  were  examined  after  three  months 
since  hydrated  oocytes  of  spotted  seatrout  began 
to  disintegrate  when  left  in  Gilson's  solution  for  a 
longer  period  of  time. 

The  volumetric  method  was  used  to  estimate 
fecundity  (Bagenal  and  Braum  1971).  The  oocyte 
samples  were  suspended  in  500-1,500  mL  of 
water  and  three  replicate  0.5  or  1  mL  subsamples 
were  taken.  All  the  oocytes  >30  ^JLm  were 
counted,  and  those  >80  |jim  in  diameter  (the 
growing  oocytes)  in  each  sample  were  measured 
to  the  nearest  15  ^m  using  an  ocular  micrometer. 
A  total  of  556-1,110  growing  oocytes  were  mea- 
sured in  each  sample.  The  number  of  resting 
oocytes  (oocyte  diameter  30-80  ^JLm)  was  deter- 
mined by  diluting  the  original  oocyte  suspension 
1:10,  and  counting  three  replicate  subsamples. 
Altogether,  the  frequency  distributions  of  oocytes 
from  48  fish  were  analyzed  (3  in  developing  stage; 
9  in  mature,  spawning  not  imminent  stage;  14  in 
mature,  just  prior  to  spawning  stage;  and  22  in 
running  ripe  stage).  Fecundity  was  calculated  fol- 
lowing Macer's  (1974)  formula  and  expressed  as 
relative  fecundity  of  number  of  eggs  per  gram 
ovary-free  body  weight.  Batch  fecundity  (BF)  is 
defined  as  all  oocytes  >350  ixm  which  were 
undergoing  final  oocyte  maturation  that  formed  a 
distinct  batch,  and  all  hydrated  oocytes.  This  defi- 
nition of  batch  fecundity  is  in  agreement  with 
Hunter  and  Macewicz's  (1985)  statement  that 
oocytes  undergoing  final  oocyte  maturation  may 
be  included  as  hydrated  oocytes  when  hydration 
occurs  very  rapidly. 


Spawning  of  Fish  in  the  Laboratory 

Four  female  and  two  male  spotted  seatrout 
were  maintained  in  a  30,000  L  recirculating  sys- 
tem. The  tank,  filtration  system  and  feeding 
regime  of  the  fish  has  been  described  previously 
(Arnold  et  al.  1976).  The  salinity  ranged  from  25 
to  30%(.  Spawning  was  induced  by  increasing  the 
temperature  and  photoperiod  from  wintertime 
settings  of  13°C,  9L:15D  to  26°C  and  15L:9D 
(Arnold  et  al.  1976).  The  filter  boxes  were  checked 
daily  for  the  presence  of  buoyant,  newly  fertilized 
eggs. 

Statistical  Analysis 

Simple  linear  regression,  oneway  analysis  of 
variance,  and  analysis  of  covariance  were  com- 
puted for  the  data  using  SPSS  packaged  programs 
(SPSS  1981). 


RESULTS 
Size  at  Maturity 

Some  female  spotted  seatrout  were  sexually 
mature  after  they  reached  231  mm  SL  and  >90% 
of  the  females  had  reached  sexual  maturity  at  271 
mm  SL  (Table  2).  By  300  mm  SL,  all  female  spot- 
ted seatrout  were  sexually  mature.  Fish  300  mm 
SL  or  larger  made  up  85.4%,  and  immature  fish 
comprised  6.5%,  of  all  the  females  sampled. 

Male  spotted  seatrout  reached  sexual  maturity 
at  a  much  smaller  size  than  females.  The  size  at 


Table  2. — Number  and  percentage  of  mature  female  and  male 
spotted  seatrout  by  10  mm  size  categories  collected  in  South) 
Texas,  April  1982-N^ay  1985.  Maturity  was  judged  by  histological 
and  macroscopic  inspection. 


Standard 

Female 

Male 

length 

(mm) 

N 

%  mature 

N 

%  mature 

201-210 

5 

0 

5 

100 

211-220 

4 

0 

4 

100 

221-230 

4 

0 

1 

100 

231-240 

4 

50 

3 

100 

241-250 

6 

83 

3 

67 

251-260 

6 

100 

5 

100 

261-270 

5 

80 

7 

100 

271-280 

11 

91 

10 

100 

281-290 

14 

100 

11 

100 

291-300 

24 

96 

20 

100 

301-310 

60 

100 

40 

100 

311-320 

94 

100 

68 

100 

321-330 

115 

100 

80 

100 

>330 

945 

100 

507 

100 

Total 

1,297 

764 

376 


BROWN-PETERSON  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  THE  SPOTTED  SEATROUT 


which  most  male  spotted  seatrout  attain  sexual 
maturity  could  not  be  determined,  since  the 
smallest  fish  collected  by  the  sampling  methods 
(200  mm  SL)  were  all  sexually  mature  (Table  2). 

Season  and  Time  of  Spawning 

Histological  and  macroscopic  examination  of 
the  gonads  (see  Table  3  and  Figure  3)  and  mean 
GSI  values  (Fig.  2)  show  that  spotted  seatrout 
have  an  extended  reproductive  season  in  South 
Texas.  Mean  GSI  values  of  males  and  females 
increased  by  April  1982-85  and  remained  ele- 
vated through  the  end  of  September.  A  5°C  in- 
crease in  water  temperature  at  the  sampling  sites 
to  23°C  during  the  first  week  of  April  1982-85 
was  paralleled  by  an  increase  in  GSI  to  2.1  in 
males  and  4.5  or  greater  in  females.  The  pattern 
of  seasonal  changes  in  mean  GSI  values  of  males 
was  relatively  consistent  during  the  three-and-a- 
half  years  of  sampling.  Mean  GSI  values  began  to 
increase  in  mid-February,  reached  a  maximum  of 
1.9-2.4  by  April,  and  slowly  declined  during  the 
spawning  season  until  they  dropped  rapidly  to 
regressed  levels  of  0.2  by  the  first  half  of  October 
(Fig.  2).  The  seasonal  patterns  in  mean  GSI  val- 
ues of  females  were  also  similar  from  1982  to 


1985.  In  all  four  years,  mean  GSI  increased  in 
April  and  subsequently  declined  in  May.  In  1982- 
84,  mean  GSI  increased  again  later  in  the  season 
prior  to  the  final  decrease  to  regressed  levels  in 
October  (Fig.  2).  Thus,  mean  GSI  values  appear  to 
be  bimodal,  with  one  period  of  peak  spawning 
activity  in  April,  and  the  second  period  of  peak 
spawning  activity  varying  between  August  1982 
and  July  1983  and  1984. 

Male  and  female  spotted  seatrout  in  spawning 
condition  (males  with  freely  flowing  milt,  females 
with  ovulated  oocytes)  were  consistently  captured 
during  a  2-h  period  around  dusk  over  shallow  (1 
m)  beds  of  Thalassia  testudinum  or  Halodule 
wrightii  bordered  by  a  channel  2  m  deep.  The 
salinity  at  the  spawning  sites  ranged  from  20  to 
37%c.  Although  actual  spawning  was  not  ob- 
served, collection  of  newly  fertilized  eggs  from  the 
spawning  area  at  dusk  confirmed  that  spawning 
was  taking  place  (Holt  and  Holf*).  Spawning  fish 
were  not  captured  over  beds  of  scattered  H. 
wrightii  or  T.  testudinum  that  were  not  immedi- 
ately adjacent  to  a  channel.  Females  with  freely 


^S.  A.  Holt  and  G.  J.  Holt,  University  of  Texas  at  Austin, 
Marine  Science  Institute,  Port  Aransas,  TX  78373,  pers.  com- 
mun.  1983. 


t 


33 


1-25 
17 
1-9 


I  I  I  I  I  I  I  I   I  I  I  I   |'i''rV;'i^|"r|T|  I  M  I  M  '  M  1  M   '  I  M  I  I  ly'V'  I   I  I   I  M  M  I  I    I  Ml  I  I   I  I  I  I   I  I  I  '  i  '   i   '  i 


°C 


MM       J        SNJMMJ 
1982  1983 


N       J        M       M'      J        S        N 
1984 


J       M       M 
1985 


Month 


Figure  2. — Bi-monthly  mean  water  temperature  and  mean  gonadosomatic  index  (GSI)  of  male  and  female  spotted  seatrout  collected 
in  South  Texas  from  March  1982  to  May  1985,  including  ±  1  SE  of  the  mean.  Sample  size  for  each  data  point:  3-61  for  females  (sample 
size  <15  in  only  9  cases)  and  2-52  for  males  (sample  size  <9  in  only  9  cases). 


377 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


flowing  oocytes  were  only  captured  at  dusk  and 
milt  appeared  to  flow  more  freely  in  males  at  dusk 
than  at  other  times  of  the  day. 

Gonadal  Development  in  Males 

Testicular  recrudescence  began  in  January 
with  the  appearance  of  primary  spermatocytes 
(Fig.  3),  and  by  February  the  majority  of  the 
males  were  in  the  early  developing  or  developing 
reproductive  stage.  In  March,  89%  of  the  males 
had  testes  containing  free  spermatozoa  (Fig.  3), 
although  only  27%  were  running  ripe.  Over  94% 
of  all  males  captured  from  April  until  the  end  of 
August  were  running  ripe.  Spent  males  first  ap- 
peared in  August  and  all  the  males  during  Octo- 
ber and  November  were  either  in  the  spent  or 
regressed  condition.  In  December,  all  males  cap- 
tured had  regressed  testes  containing  only  pri- 
mary and  secondary  spermatogonia  (Fig.  3). 

Histological  observations  revealed  that  the 
testes  are  the  common  unrestricted  spermatogo- 
nia type,  as  described  by  Grier  (1981).  Spermato- 
genesis occurred  throughout  the  entire  testis  dur- 
ing the  majority  of  the  year.  However,  from  late 
February  through  early  August,  spermatogenesis 
was  more  advanced  in  the  central  lobules  then  in 
the  peripheral  lobules.  By  August  there  was  no 
spermatogenic  activity  in  the  central  lobules,  al- 
though spermatogenesis  continued  in  the  periph- 
eral lobules  until  mid-September.  The  only  period 
of  the  year  when  there  was  no  active  spermato- 
genesis was  from  October  through  late  January, 
although  primary  and  secondary  spermatogonia 
were  present  from  October  through  the  end  of 


April  (Fig.  3).  Primary  spermatocytes  were  com- 
mon from  late  January  until  March,  although 
they  did  not  disappear  from  the  testes  entirely 
until  the  end  of  July.  Secondary  spermatocytes 
first  appeared  in  mid-February,  were  common 
through  the  end  of  July  and  did  not  disappear 
until  early  September  (Fig.  3).  Spermatids  and 
spermatozoa  were  present  in  the  central  lobules 
by  late  February,  and  from  March  through  mid- 
August  the  central  lobules  were  swollen  with 
spermatozoa  (Fig.  3).  In  late  August  and  Septem- 
ber many  of  the  central  lobules  appeared  to  be 
partially  empty  of  spermatozoa,  although  some 
spermatozoa  were  still  present  up  to  mid-Novem- 
ber (Fig.  3).  The  peripheral  lobules  contained  ac- 
tive spermatogenic  cysts  of  primary  and  second- 
ary spermatocytes  during  June  and  July  and  the 
lumens  of  these  lobules  began  to  fill  with  sperma- 
tozoa. The  peripheral  lobules  were  swollen  with 
spermatozoa  during  August  and  September,  but 
by  mid-October  no  spermatozoa  remained. 

Gonadal  Development  in  Females 

Gonadal  recrudescence  was  observed  in  a  small 
percentage  of  the  females  captured  in  January 
and  by  March  94%  of  the  females  were  undergo- 
ing ovarian  development  (Table  3).  Fish  with  ma- 
ture ovaries  were  found  from  March  until  the  end 
of  September,  while  running  ripe  fish  were  cap- 
tured fi-om  April  through  the  end  of  September 
(Table  3).  Partially  spent  fish  (females  that  ap- 
peared to  have  spawned  at  least  once  but  still 
contained  vitellogenic  oocytes)  were  captured 
from  May  through  the  end  of  September.  No  com- 


1°  Spermatogonia 
2°  Spermatogonia 
1°  Spermatocytes 
2°  Spermatocytes 
Spermatids 
Spermatozoa 


A 


-| r 

J       J 

Month 


M 


M 


A 


S 


— r 
N 


D 


Figure  3. — Seasonal  cycle  of  spermatogenesis  in  spotted  seatrout  collected  in  South  Texas,  as 
determined  by  histological  and  macroscopic  observations.  Data  from  April  1982  through 
mid-May  1985  are  combined.     1°  -  primary,  2°  -  secondary. 


378 


BROWN-PETERSON  ET  AL  :  REPRODUCTIVE  BIOLOGY  OF  THE  SPOTTED  SEATROUT 


Table  3. — Percentage  of  female  spotted  seatrout  In  seven  repro- 
ductive stages  by  month,  as  assessed  by  histological  and  macro- 
scopic examination  of  the  ovaries.  Data  from  April  1982  to  May 
1985  are  combined.  REG  ^  Regressed,  E  DEV  =  Early  Develop- 
ing, DEV  =  Developing,  MAT  =  Mature,  RR  =  Ripe  and  Running 
Ripe,  P  SP  =  Partially  Spent,  SP  =  Spent. 


N 

Percent  in 

each 

reproductive 

stage 

Month 

REG 

EDEV 

DEV 

MAT 

RR 

PSP 

SP 

January 

70 

98 

2 

February 

51 

55 

43 

2 

March 

124 

4 

56 

31 

9 

April 

372 

4 

6 

78 

12 

May 

220 

4 

84 

5 

7 

June 

104 

1 

56 

19 

24 

July 

114 

1 

48 

30 

20 

1 

August 

100 

58 

32 

7 

3 

September 

37 

14 

37 

30 

11 

8 

October 

8 

87 

13 

November 

27 

100 

December 

51 

98 

2 

Total 

1,278 

tions:  150-190  (xm)  varied  from  a  lov^^  of  7.3%  in 
June  to  a  late  season  high  of  16.1%,  and  averaged 
13%  of  the  total  number  of  oocytes  in  the  ovary. 
Yolk  globular  oocytes,  the  largest  oocytes  present 
(diameter:  200-375  p.m),  were  most  common.  The 
percentage  of  oocytes  in  the  yolk  globular  stage 
ranged  from  a  high  of  30.8%  in  April  to  an  end-of- 
season  low  of  22.6%  in  September  and  averaged 
26.9%  during  the  reproductive  season.  In  addition 
to  the  actively  growing  oocytes  in  the  ovary,  a 
small  percentage  of  atretic  oocytes  was  always 
found  in  fish  with  mature  ovaries.  Atretic  oocytes 
are  defined  here  as  vitellogenic  oocytes  undergo- 
ing alpha  stage  atresia.  The  percentage  of  atretic 
oocytes  ranged  from  a  low  of  2.2%  in  March  to  a 
midsummer  high  of  8%  in  July  and  averaged 
5.4%.  Additionally,  postovulatory  follicles  (POF) 
were  observed  in  the  ovaries  offish  captured  from 


pletely  spent  fish  were  captured  before  July  and 
few  were  captured  during  the  remainder  of  the 
reproductive  season. 

Histological  observations  offish  with  regressed 
ovaries  collected  from  late  September  to  mid- 
February  showed  only  primary  chromatin  nucle- 
olar and  early  perinucleolar  oocytes.  Atretic 
oocytes  were  present  from  September  until  mid- 
December;  no  atretic  oocytes  were  observed  from 
mid-December  through  the  end  of  February.  The 
appearance  of  late  perinucleolar  and  primary  cor- 
tical alveoli  stage  oocytes  in  late  January,  Febru- 
ary, and  early  March  represented  the  initial 
stages  of  ovarian  recrudescence.  Ovarian  devel- 
opment was  proceeding  rapidly  by  early  March 
and  oocytes  in  the  secondary  cortical  alveoli  and 
yolk  granule  stages  were  common. 

During  the  reproductive  season,  histological 
observations  of  the  ovary  showed  a  heterogeneous 
morphology.  Oocytes  in  all  stages  of  growth  (from 
resting  to  the  fully  grown  yolk  globular  stage) 
were  distributed  throughout  the  ovaries  of  all  ma- 
ture, running  ripe,  and  partially  spent  fish  col- 
lected from  March  through  the  end  of  September. 
Vitellogenesis  was  probably  continuous  from 
February  until  the  end  of  September,  as  shown  by 
the  continual  presence  of  large  numbers  of 
oocytes  in  the  cortical  alveoli  and  yolk  granule 
stages.  The  relative  percentages  of  three  types  of 
post  cortical  alveolar  stage  oocytes  in  fish  in  the 
mature  reproductive  stage  did  not  change 
markedly  from  March  through  the  end  of  Septem- 
ber (Fig.  4).  The  percentage  of  oocytes  in  the  yolk 
granule  stage  (diameter  in  histological  prepara- 


Q 
o 
< 

1- 
z 
m 
o 

DC 

LU 
Q. 

LU 
> 

I- 
< 

_l 
LU 
IT 

O 

z 

LU 

=) 

o 

LU 
DC 


P771  Yolk  granule  frr^  Yolk  globule      ^g  Atretic 

N  I  5  I  58  I  21  I  17  I  27  I  29  I  9  I 
36-1 


32 
28 

24H 
20 

16 

12- 
8- 
4- 


M 


M   J   J 

MONTH 


Figure  4. — Frequency  of  three  different  types  of  oocytes  in  fe- 
male spotted  seatrout  ovaries  in  the  mature  reproductive  stage 
(MAT,  Table  3)  as  assessed  by  histological  observation.  Fish 
were  collected  from  South  Texas  during  the  reproductive  sea- 
son. Frequency  refers  to  the  percentage  of  each  type  of  oocyte 
relative  to  the  total  number  of  all  types  of  oocytes  counted.  Data 
from  April  1982  through  the  end  of  September  1983  are  com- 
bined and  the  number  (A^)  of  individuals  examined  each  month 
is  indicated.  Bars  indicate  mean  percentage  of  oocytes  ±1  SE  of 
the  mean.  Yolk  granule  oocyte  diameters  ranged  from  150  to 
190  p-m,  and  yolk  globule  oocyte  diameters  ranged  from  200  to 
375  fim  in  histological  preparations.  Atretic  oocytes  are  defined 
here  as  oocytes  in  alpha  stage  atresia. 


379 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


April  through  September,  although  the  percent- 
age of  POF  relative  to  the  total  number  of  oocytes 
was  always  small  (<5%). 

The  histological  appearance  of  the  zona  radiata 
and  follicle  layers  changed  as  the  oocytes  devel- 
oped. The  zona  radiata  (chorion)  was  thin  and 
nonstriated  in  perinucleolar  and  cortical  alveoli 
oocytes.  The  zona  radiata  started  to  take  on  its 
characteristic  striated  appearance  when  oocytes 
reached  the  yolk  granular  stage  and  became  no- 
ticeably thicker  and  more  striated  as  oocytes 
grew  into  the  yolk  globular  stage.  In  contrast,  the 
granulosa  and  thecal  layers  appeared  to  decrease 
in  thickness  as  oocyte  development  proceeded. 
Oocytes  in  the  perinucleolar  and  cortical  alveoli 
stages  had  thick,  well-developed  granulosa  and 
thecal  layers.  In  yolk  granular  and  yolk  globular 
oocytes,  both  follicle  layers  were  noticeably  thin- 
ner and  the  thecal  layer  was  not  always  continu- 
ous around  the  oocyte. 

Frequency  distributions  of  growing  oocytes  (di- 
ameters in  Gilson's  solution  >80  fxm;  perinucle- 
olar to  hydrated  stage  oocytes)  from  ovaries  of  48 
fish  were  analyzed,  and  Figure  5  shows  typical 
patterns  in  fish  from  four  reproductive  stages.  In 
a  fish  captured  in  March  with  developing  ovaries, 
growing  and  vitellogenic  oocytes  (oocytes  during 
the  phase  of  active  vitellogenin  uptake)  ranging 
from  80  to  185  jxm  in  diameter  were  present  (Fig. 
5A;  625  oocytes  counted).  Fish  in  the  mature  re- 
productive stage  in  which  spawning  did  not  ap- 
pear to  be  imminent,  as  indicated  by  GSI  values 
<4,  had  growing  and  vitellogenic  oocyte  diame- 
ters ranging  from  100  to  320  M-m  (Fig.  5B;  556 
oocytes  counted),  comprising  21%  of  the  total 
number  of  oocytes  >30  fxm  in  the  ovary.  Fish  just 
prior  to  spawning,  as  indicated  by  GSI  values  >7, 
had  a  distinct  batch  of  oocytes  with  diameters 


Figure  5. — Frequency  distributions  of  growing  oocyte  diame- 
ters O80  p.m)  in  female  spotted  seatrout  collected  from  South 
Texas.  Growing  oocytes  comprised  21%  of  the  total  number  of 
oocytes  >30  ^.m  in  the  ovary.  Oocyte  diameter  refers  to  the 
diameters  of  oocytes  after  preservation  in  Gilson's  solution.  Fre- 
quency refers  to  the  percentage  of  each  size  of  oocyte  relative  to 
the  total  number  of  oocytes  in  the  subsample.  Each  graph  repre- 
sents data  from  a  single  fish  at  a  different  reproductive  stage. 
The  arrow  at  350  jim  indicates  the  minimum  size  necessary  for 
final  maturation  to  occur.  A.  Developing  stage  in  March, 
GSI  =  1.6.  B.  Mature  stage  in  which  spawning  is  not  immi- 
nent, GSI  =  3.7.  Fish  in  this  stage  were  collected  from  April 
through  the  end  of  September.  C.  Mature  stage  just  prior  to 
spawning,  GSI  =  7.4.  Fish  in  this  stage  were  collected  from 
April  through  the  end  of  September.  D.  Running  ripe  stage, 
GSI  =  17.6.  Fish  in  this  stage  were  collected  from  April  through 
the  end  of  September. 


>350  fxm  that  were  undergoing  final  oocyte  mat- 
uration (Fig.  5C;  585  oocytes  counted).  However, 
there  were  no  other  distinct  modes  of  vitellogenic 
oocytes.  In  running  ripe  fish,  the  batch  of  large 
oocytes  hydrated  to  a  diameter  of  520  ixm  or 
greater  (Fig.  5D;  1,110  oocytes  counted).  The  re- 
sults (Figs.  5A-D)  clearly  demonstrate  that  C. 
nebulosus  has  a  continuous  distribution  of  grow- 
ing and  vitellogenic  oocytes.  The  oocyte  frequency 
distribution  of  the  vitellogenic  oocytes  <320  \i.vc\ 
in  diameter  remaining  in  running  ripe  fish  ap- 


I-    2- 


lU 


o 


LU 


LU 

DC     2-J 


80        200      320      440       560      680 
OOCYTE   DIAMETER   (nm) 


380 


BROWN-PETERSON  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  THE  SPOTTED  SEATROUT 


peared  similar  to  the  oocyte  distribution  in  non- 
spawning  fish  (Fig.  5B,  D).  The  percentage  (21%) 
of  growing  and  vitellogenic  oocytes  in  the  ovary 
remained  constant  throughout  the  reproductive 
season  in  fish  in  the  mature  and  running  ripe 
stages. 

Final  Oocyte  Maturation 

Final  oocyte  maturation  (FOM)  was  highly  syn- 
chronized in  spotted  seatrout  and  occurred  only  in 
oocytes  >400  ixm  ^.  Figure  6A  shows  a  photomi- 
crograph of  a  histological  section  of  a  spotted 
seatrout  ovary  in  the  mature  reproductive  stage 
that  was  not  undergoing  final  oocyte  maturation. 
Many  oocytes  were  in  the  yolk  globular  stage  and 
appeared  to  be  fully  grown.  The  first  readily  ob- 
servable stage  of  FOM  in  "cleared"  oocytes  was 
lipid  coalescence  (Fig.  6B).  The  oil  droplets  in  the 
oocytes  began  to  coalesce  around  the  germinal 
vesicle  (nucleus)  and  subsequently  formed  one  to 
three  large  oil  droplets.  This  stage  was  not  always 
observed  in  histological  preparations  since  many 
of  the  oocytes  were  not  sectioned  through  their 
centers.  The  yolk  globules  remained  discrete  dur- 
ing lipid  coalescence.  After  the  lipids  had  coa- 
lesced, the  germinal  vesicle  (GV)  began  to  mi- 
grate to  the  periphery  of  the  oocyte  (germinal 
vesicle  migration,  or  GVM).  GVM  could  be  seen 
in  both  histological  sections  (Fig.  6C)  and  in 
"cleared"  oocytes  (Fig.  6D).  The  oil  droplet  occu- 
pies the  center  of  the  oocytes  shown  in  Figure  6C, 
D.  Histological  observation  of  this  stage  (Fig.  6C) 
showed  that  the  yolk  globules  were  not  coalesced, 
the  oil  droplets  had  coalesced  to  form  one  or  two 
large  droplets  and  the  GV  had  begun  to  lose  its 
integrity  and  often  appeared  semicircular.  At  the 
completion  of  GVM,  the  nuclear  (germinal  vesi- 
cle) membrane  broke  down  (GVBD)  and  the  nu- 
clear material  intermingled  with  the  cytoplasm  of 
the  oocyte.  Hydration  occurred  shortly  thereafter, 
followed  by  ovulation  and  spawning  of  the  fully 
mature  oocyte. 

Final  oocyte  maturation  occurred  within  10 
hours  in  spotted  seatrout  in  the  natural  environ- 
ment (Fig.  7).  A  total  of  209  fish  were  collected 
over  eight  24-h  periods  from  April  through  Au- 
gust in  1984  and  1985.  Forty-three  percent  of  the 
fish  collected  between  the  hours  of  0500  and  1500 
were  undergoing  FOM.   Lipid  coalescence  was 


first  observed  at  dawn  (0545),  and  GVM  started 
at  0900.  By  1430,  all  fish  undergoing  final  matu- 
ration had  hydrated  oocytes  and  ovulation  and 
spawning  commenced  at  dusk  (1830)  and  contin- 
ued until  2100.  None  of  the  fish  collected  from 
2100  to  0500  were  undergoing  FOM. 

Batch  Fecundity 

The  significant  positive  relationship  {P  < 
0.001)  between  BF  and  ovary-free  body  weight 
can  be  best  described  by  the  following  equation: 
BF  =  459WT  -  56,066,  r^  =  0.56  (Fig.  8),  while 
curvilinear  equations  best  described  the  relation- 
ship between  BF  and  SL  and  TL.  The  coefiicients 
of  determination  in  all  cases  were  <0.56. 

A  one-way  analysis  of  variance  showed  that 
mean  BF  (number  of  eggs  per  gram  ovary-free 
weight)  did  not  vary  significantly  during  the 
April  through  September  spawning  season.  Mean 
relative  batch  fecundity  was  highest  in  Septem- 
ber, lowest  in  May,  and  varied  little  during  April, 
June,  and  July  (Table  4). 

A  prominent  batch  of  oocytes  was  present  only 
in  females  that  were  in  all  stages  of  final  oocyte 
maturation  or  were  running  ripe  (Figs.  5C,  D;  7). 
The  average  batch  size  calculated  from  14  fish 
containing  hydrated  oocj^es  and  no  postovulatory 
follicles  was  451  ±  43  eggs/g  ovary-free  body 
weight.  This  number  averaged  15.5  ±  2.5%  of  the 
number  of  growing  and  vitellogenic  oocytes  in  the 
ovary. 


Table  4. — Monthly  mean  batch  fecundity 
expressed  as  number  eggs/g  ovary-free 
body  weight  of  spotted  seatrout  in  South 
Texas.  All  means  were  not  statistically  dif- 
ferent. 


Month 

N 

Mean  fecundity  ±1  se 

April 

19 

477  ±    42 

May 

2 

320  ±    72 

June 

3 

435 ±  109 

July 

5 

409  ±    76 

August 

3 

361  ±    60 

September 

3 

560  ±    79 

5A  400  (xm  live  oocyte  equals  a  350  ^.m  oocyte  preserved  in 
Gilson's  solution.  Both  measurements  represent  oocytes  begin- 
ning FOM. 


Spawning  Frequency 

To  estimate  the  spawning  frequency  of  spotted 
seatrout  in  South  Texas,  the  percentage  of  run- 
ning ripe  females  captured  monthly  from  April 
through  the  end  of  September  in  1982  through 
1985  was  examined.  Only  fish  captured  at  dusk 
and  >305  mm  SL  were  included  in  this  analysis. 
The  percentage  of  spawning  females  ranged  fi-om 


381 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


B 


«Q 


•#«, 


> 


«l 


^IIf 


^ Qy 


»: 


382 


BROWN-PETERSON  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  THE  SPOTTED  SEATROUT 

Figure  6. — Photomicrographs  of  oocytes  from  spotted  seatrout 
in  the  mature  reproductive  stage  collected  from  South 
Texas.  A.  Histological  section  of  an  ovary  in  the  mature  stage 
that  is  not  undergoing  final  oocyte  maturation  (FOM).  Oocyte 
development  is  continuous,  with  fully  grown  yolk  globular 
oocytes  co-occurring  with  oocytes  in  earlier  stages  of  develop- 
ment (Magnification  120x).  B.  "Cleared"  oocytes  in  the  lipid 
coalescence  stage,  the  first  stage  of  FOM  (magnification  40  x). 
C.  Histological  section  of  an  oocyte  undergoing  germinal  vesicle 
migration  (GVM).  (Magnification  160 x ).  D.  "Cleared"  oocytes 
in  the  GVM  stage  (magnification  40 X).  Key:  GV  =  germinal 
vesicle  or  nucleus,  L  =  Lipid  droplets,  YG  =  yolk  globules, 
YGO  =  yolk  globular  oocyte,  ZR  =  Zona  radiata. 


Lipid  Coalescence 

KV\\\\\\\N 

GVM 

14L:10D 

Hydration 

K\\\\\\1 

ion  and  Spawning 

kWWN 

^                                                                             ^^^^^M 

0000 

04'00 

III 

0800          1200 

Time 

I   — r^ 

1600          2000 

Figure  7. — Time-course  of  final  oocyte  maturation  in  spotted  seatrout  collected  from 
South  Texas.  Lipid  coalescence  is  the  initial  stage  in  final  oocyte  maturation.  Data 
obtained  from  46  fish  undergoing  final  oocyte  maturation  in  April  and  May 
1985.     GVM  =  germinal  vesicle  migration.  14L:  lOD  =  hours  of  light  and  dark. 


Figure  8.— Relation  between  batch  fecundity  (BF) 
and  ovary-free  body  weight  (WT)  of  spotted  seatrout 
from  April  1984  to  May  1985.  Thirty-three  fish  with 
oocytes  >350  \i.m  that  were  undergoing  final  oocyte 
maturation  and  formed  a  distinct  batch  of  oocytes  or 
had  hydrated  oocytes  are  included. 


Weight    (g) 


383 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


a  low  of  8%  in  May  to  a  high  of  45%  in  September 
(Table  5).  An  average  of  27.5%  of  the  females 
captured  during  the  spawning  season  were  run- 
ning ripe,  corresponding  to  an  average  spawning 
frequency  of  once  every  3.6  days  or  50  times  dur- 
ing the  6-mo  spawning  period. 

The  spawning  frequency  was  also  estimated 
from  females  that  were  undergoing  final  oocyte 
maturation  (FOM)  between  the  hours  of  0600  and 
1400  in  April,  May,  July,  and  August  1984  and 
1985  (Table  5).  For  comparison,  the  actual  per- 
centage of  running  ripe  females  captured  during 
the  same  months  is  also  presented.  An  average  of 
42.8%  of  the  females  examined  for  final  oocyte 
maturation  from  April  through  August  were 
undergoing  FOM.  Therefore,  average  spawning 
frequency  was  once  every  2.3  days,  or  80  times 
during  the  6-mo  spawning  season. 

Spawning  frequency  was  also  estimated  from 
the  percentage  of  females  captured  with  ovaries 
containing  postovulatory  follicles  (POF).  An  av- 
erage of  13.1%  of  the  females  captured  had 
ovaries  which  contained  POF  ranging  from  12 
hours  to  2  days  old.  This  would  correspond  to  a 
spawning  frequency  of  once  every  7.6  days  or  24 
times  during  the  spawning  season. 

Finally,  the  spawning  frequency  of  four  female 
C.  nebulosus  in  the  laboratory  under  conditions  of 
controlled  temperature  and  photoperiod  were  ex- 
amined (Table  6).  The  fish  spawned  from  1  to  10 
times  each  month  for  17  months,  an  average  of  17 
spawns  per  individual  over  a  12-mo  period  (Table 
6).  This  would  correspond  to  a  spawning  fre- 
quency of  once  every  21  days. 

DISCUSSION 
Sexual  Maturity  and  Spawning  Season 

Male  spotted  seatrout  reached  sexual  maturity 
at  a  smaller  size  than  females  which  appears  to  be 
a  fairly  common  phenomenon  in  spotted  seatrout 
throughout  its  range  (see  Mercer  1984  for  a  re- 
view). Both  male  and  female  spotted  seatrout  in 
South  Texas  reached  sexual  maturity  at  a  size 
similar  to  that  reported  for  other  groups  of  C. 
nebulosus  along  the  Gulf  Coast  (Moody  1950; 
Klima  and  Tabb  1959;  Overstreet  1983)  and  at  a 
smaller  size  than  along  the  East  Coast  (Tabb 
1961;  Brown  1981). 

Running  ripe  females  were  captured  only  be- 
tween one  hour  before  and  two  hours  after  sunset 
in  South  Texas,  suggesting  a  high  degree  of  syn- 
chrony in  spawning  fish.  Collections  of  newly  fer- 


Table  5. — Percentage  of  spotted  seatrout  spawning  (RR)  or  under- 
going final  oocyte  maturation  (FOf^)  in  South  Texas.  Data  on 
spawning  fish  collected  April  1982-f^ay  1985.  Data  on  fish  under- 
going FOM  collected  April  1984-IVIay  1985. 


Spawning 

fish 

Fish  undergoing  FOM 

1982-85 

1984-85 

Month 

N 

#  RR 

%  RR 

N 

#  FOM 

%  FOM 

%  RR 

April 

256 

42 

16 

33 

14 

42 

37 

May 

140 

11 

8 

21 

10 

48 

13 

June 

101 

20 

20 

— 

— 

— 

— 

July 

82 

33 

40 

7 

3 

43 

52 

August 

101 

36 

36 

8 

3 

38 

— 

September 

20 

9 

45 

— 

— 

— 

— 

Mean 

27.5 

42.8 

25.5 

Table  6. — Number  of  spawns  and  average 
water  temperature  by  month  for  four  female 
spotted  seatrout  contained  in  a  30,000  L  tank  in 
Porl  Aransas,  TX,  under  conditions  of  con- 
trolled temperature  and  photoperiod,  July 
1974-November  1975.  Expenmental  proce- 
dures descnbed  in  Arnold  et  al.  (1976). 


Month 

Number  of  spawns 

°C 

July 

8 

26.75 

August 

7 

26.75 

September 

4 

26.0 

October 

6 

25.5 

November 

4 

24.5 

December 

8 

24.0 

January 

9 

23.5 

February 

10 

24.0 

March 

10 

24.0 

April 

3 

25.75 

May 

1 

25.0 

June 

0 

22.0 

July 

6 

25.75 

August 

2 

25.0 

September 

2 

23.0 

October 

9 

23.5 

November 

10 

24.0 

Total 

99 

Average:     1 7 

spawns/  1 2  months/  female 

tilized  eggs  during  a  25-h  period  after  sunset  (Holt 
et  al.  1985)  provides  supporting  evidence  for  this 
spawning  synchrony. 

Both  histological  data  and  GSI  values  showed 
spotted  seatrout  have  an  extended  spawning  sea- 
son in  South  Texas.  Gronadal  recrudescence  began 
in  January  in  male  and  in  February  in  female 
spotted  seatrout.  Spawning  commenced  in  April 
and  continued  until  the  end  of  September.  Other 
studies  of  C.  nebulosus  along  the  Gulf  and  East 
coasts  of  the  United  States  have  also  reported 
long  spawning  seasons  (Mercer  1984).  Addition- 
ally, other  sciaenids  have  extended  spawning  sea- 
sons (Merriner  1976;  White  and  Chittenden  1977; 
DeVries  and  Chittenden  1982;  Love  et  al.  1984), 


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BROWN-PETERSON  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  THE  SPOTTED  SEATROUT 


suggesting  a  prolonged  spawning  season  is  a  com- 
mon reproductive  strategy  among  sciaenids  liv- 
ing in  temperate  and  subtropical  waters. 

The  duration  of  the  spawning  season  may  be 
related  to  water  temperature.  Perhaps  this  appar- 
ent association  with  temperature  is  related  to  the 
viability  and  development  of  spawned  spotted 
seatrout  eggs.  Twenty-three  degrees  may  be  the 
minimum  temperature  necessary  for  successful 
spawning,  as  indicated  by  both  the  failure  to  cap- 
ture running  ripe  fish  at  lower  temperatures  and 
by  data  from  spotted  seatrout  induced  to  spawn 
under  laboratory  conditions  (Arnold  et  al.  1976; 
Table  6).  However,  since  spawning  ceased  in  Sep- 
tember when  water  temperatures  were  well 
above  23°C,  possibly  a  decrease  in  photoperiod  in 
combination  with  a  decrease  in  temperature  pro- 
vides the  necessary  cue  for  termination  of  spawn- 
ing. Hein  and  Shepard  (1979)  suggested  photope- 
riod may  be  an  important  regulating  factor  in 
C.  nebulosus  spawning.  Data  from  laboratory- 
spawned  spotted  seatrout  (Arnold  et  al.  1976)  also 
support  this  speculation. 

The  seasonal  pattern  of  mean  GSI  values  dur- 
ing the  spawning  season  was  relatively  consistent 
for  both  males  and  females  over  the  Sj-yr  period, 
1982-85  (Fig.  2).  The  bimodality  of  the  female 
GSI  data  suggests  the  possibility  of  two  peaks  in 
spawning  activity,  although  the  timing  of  the  sec- 
ond peak  varies  from  year  to  year,  thus  demon- 
strating the  need  for  several  consecutive  years  of 
data.  Bimodal  spawning  peaks  have  been  previ- 
ously reported  for  the  species  by  Hein  and  Shep- 
ard (1979)  in  Louisiana,  Stewart  (1961)  in 
Florida,  and  Brown  (1981)  in  Chesapeake  Bay, 
VA.  However,  mean  GSI  values  should  be  used 
with  caution  when  attempting  to  predict  actual 
peaks  in  spawning  activity  (deVlaming  et  al. 
1982). 

Fecundity 

Accurate  annual  fecundity  measurements  are 
difficult  to  determine  for  multiple  spawning 
fishes  with  an  extended  spawning  season.  Meth- 
ods of  calculating  annual  fecundity  from  mea- 
surements of  the  total  number  of  growing  oocytes 
at  the  beginning  of  the  spawning  season  (Bagenal 
1966),  or  other  approaches  based  on  the  total 
number  of  oocytes  at  the  beginning  of  the  spawn- 
ing season  minus  egg  retention  at  the  end  of  the 
spawning  season  (Conover  1985),  are  inappropri- 
ate for  multiple  spawning  species  such  as  spotted 
seatrout  which  show  continuous  recruitment  of 


oocytes  during  the  reproductive  season.  Thus,  the 
previous  estimates  of  annual  fecundity  in  spotted 
seatrout,  which  did  not  take  continuous  recruit- 
ment of  oocytes  into  consideration  and  measured 
either  total  fecundity  (Overstreet  1983)  or  fecun- 
dity of  growing  and  vitellogenic  oocytes  (Sun- 
dararaj  and  Suttkus  1962),  probably  underesti- 
mated annual  fecundity.  Furthermore,  BF  has 
not  previously  been  calculated  for  this  species. 

Although  no  monthly  differences  in  BF  were 
apparent  (Table  4),  sample  sizes  were  too  small  to 
draw  any  definite  conclusions  from  these  data. 
The  relatively  low  coefficient  of  determination 
(0.56)  is  similar  to  values  reported  by  Conover 
(1985)  for  Atlantic  silversides,  Menidia  menidia, 
another  multiple  spawning  species.  Perhaps  a 
more  accurate  estimate  of  annual  fecundity  than 
previously  reported  for  spotted  seatrout  can  be 
obtained  by  multiplying  BF  by  the  number  of 
spawns  during  the  reproductive  season.  Unfortu- 
nately, as  discussed  later,  estimates  of  spawning 
frequency  vary  considerably,  so  it  is  not  possible 
to  make  an  accurate  estimation  of  the  annual  fe- 
cundity. However,  available  data  indicate  that 
average  annual  fecundity  may  be  greater  than  10 
million  eggs. 

Multiple  Spawning 

Histological  examination  of  the  testes  revealed 
that  spermatogenesis  ceased  earlier  in  the  central 
lobules,  although  they  contained  spermatozoa 
one-and-one-half  months  longer  than  the  periph- 
eral lobules.  It  is  possible  that  the  same  central 
lobules  act  as  storage  areas  for  spermatozoa  pro- 
duced by  the  more  spermatogenically  active  pe- 
ripheral lobules  during  the  second  half  of  the 
spawning  season,  as  suggested  by  Hyder  (1969) 
for  Tilapia .  This  may  represent  a  strategy  in  mul- 
tiple spawning  fish  with  a  prolonged  spawning 
season  that  allows  for  a  constant  supply  of  sper- 
matozoa while  investing  a  minimal  amount  of  en- 
ergy into  spermatogenesis. 

Several  lines  of  evidence  indicate  that  female 
C.  nebulosus  also  spavni  several  times  during  the 
reproductive  season.  The  relatively  high  percent- 
age of  running  ripe  females,  fish  undergoing 
FOM  and  partially  spent  fish  captured  through- 
out the  spawning  season,  and  the  absence  of  com- 
pletely spent  fish  until  the  last  third  of  the  spawn- 
ing season,  suggest  that  an  individual  does  not 
spawn  all  the  vitellogenic  eggs  in  the  ovary  at  one 
time.  Indeed,  oocyte  size-frequency  analysis 
shows  a  continuous  distribution  of  growing  and 


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FISHERY  BULLETIN:  VOL.  86,  NO,  2 


vitellogenic  oocytes  (Fig.  5)  and  fecundity  esti- 
mates show  that  only  about  15%  of  the  growing 
oocytes  undergo  FOM  prior  to  a  spawn.  Histolog- 
ical data  shows  that  the  percentage  of  vitellogenic 
oocytes  in  the  ovary  remains  constant  throughout 
the  spawning  season  (Fig.  4),  which  suggests  that 
new  oocytes  may  be  recruited  into  the  vitellogenic 
phase  as  rapidly  as  mature  oocytes  are  released. 
Convincing  histological  evidence  of  multiple 
spawning  is  the  presence  of  postovulatory  follicles 
(POF)  from  May  through  the  end  of  September  in 
ovaries  containing  many  vitellogenic  oocytes. 
Hunter  and  Goldberg  (1980)  characterized  pos- 
tovulatory follicles  in  laboratory-spawned  En- 
graulis  mordax,  a  multiple  spawning  fish,  and 
found  POF  in  all  females  that  had  spawned  in  the 
laboratory  one  or  two  days  previously.  Finally, 
laboratory  studies  also  show  that  spotted  seatrout 
are  capable  of  multiple  spawning  under  relatively 
constant  environmental  conditions  (Table  6). 
Tucker  and  Faulkner  (1987)  also  found  that  six 
female  fish  kept  in  raceways  outdoors  at  the  am- 
bient summer  temperature  and  photoperiod 
spawned  repeatedly. 

Spawning  Frequency 

It  is  especially  difficult  to  determine  the 
spawning  frequency  of  wide-ranging,  multiple- 
spawning  marine  fishes  such  as  C.  nebulosus  that 
are  not  group-synchronous  spawners.  One 
method  to  estimate  spawning  frequency  is  to 
count  the  number  of  distinct  batches  of  vitel- 
logenic oocytes  in  the  ovary  (Shackley  and  King 
1977).  However,  only  one  distinct  batch  of  vitel- 
logenic or  hydrated  oocytes  can  be  distinguished 
in  spotted  seatrout  ovaries  at  any  one  time  (Fig. 
5)  and  the  reliability  of  this  method  has  been 
questioned  (deVlaming  1983).  Therefore,  three 
techniques  were  used  to  estimate  spawning  fre- 
quency in  spotted  seatrout. 

Spawning  frequency  was  estimated  to  be  once 
every  3.6  days  from  the  percentage  of  running 
ripe  fish  caught  on  the  spawning  grounds.  Al- 
though this  is  probably  an  overestimate  owing  to 
sampling  bias,  the  error  may  not  be  susbtantial, 
since  the  spawning  grounds  are  also  the  feeding 
grounds  for  this  species  (Moody  1950)  and  many 
nonspawning  individuals  were  captured.  The 
time  of  sample  collection  did  not  significantly  in- 
fluence the  estimate  of  spawning  frequency.  High 
spawning  frequencies  were  also  obtained  (every 
2.3  days)  when  fish  were  captured  6-12  hours 
prior  to  spawning  and  examined  for  signs  of  final 


oocyte  maturation  (Table  5).  The  spawning  fre- 
quency of  other  sciaenids  fishes  has  been  esti- 
mated by  this  technique  (DeMartini  and  Foun- 
tain 1981;  Love  et  al.  1984).  Additionally,  Hunter 
and  Macewicz  (1985)  suggested  that  this  method 
produces  a  useful  first  approximation  of  spawning 
frequency. 

The  proportion  of  fish  having  POF  in  the  ovary 
has  also  been  used  to  determine  spawning  fre- 
quency (Hunter  and  Goldberg  1980;  Albeit  et  al. 
1984;  Hunter  and  Macewicz  1985).  Spotted 
seatrout  were  found  to  have  POF  throughout  the 
spawning  season,  although  the  age  of  the  POF 
was  often  difficult  to  determine.  Furthermore,  de- 
tailed laboratory  studies  have  not  been  under- 
taken to  accurately  age  POF  in  spotted  seatrout. 
However,  the  once  a  week  estimate  of  spawning 
frequency  obtained  using  this  method  is  similar 
to  spawning  frequencies  reported  for  two  other 
sciaenids,  the  queenfish,  Seriphus  politus,  (De- 
Martini  and  Fountain  1981)  and  the  white 
croaker,  Genyonemus  lineatus,  (Love  et  al.  1984). 
Spawing  frequency  estimates  from  POF  are  prob- 
ably more  reliable  than  estimates  based  on  the 
number  of  spawning  fish  since  sampling  bias 
is  less  likely  to  occur  when  capturing  fish  with 
POF. 

Another  method  used  to  quantify  spawning  fre- 
quencies in  various  species  is  direct  observation 
of  spawning  in  the  laboratory  or  in  "controlled" 
field  situations,  such  as  impoundments  (Gale  and 
Deutsch  1985;  Hubbs  1985;  Heins  and  Rabito 
1986).  Spotted  seatrout  spawned  an  average  of 
once  every  three  weeks  per  individual  under  con- 
trolled temperature  and  photoperiod  in  the  labo- 
ratory (Table  6).  Tucker  and  Faulkner  (1987) 
found  that  six  female  spotted  seatrout  kept  out- 
doors at  ambient  temperature  and  photoperiod 
averaged  one  spawn  per  individual  every  2.3 
weeks.  The  same  spawning  frequency  was  noted 
for  an  individual  female,  although  that  same  in- 
dividual later  spawned  three  times  in  four  days 
(Tucker  and  Faulkner  1987).  Thus,  spotted 
seatrout  appear  to  be  capable  of  the  high  spawn- 
ing fi"equencies  estimated  from  field-caught  fish 
with  hydrated  ovaries,  although  this  frequency  is 
probably  not  sustained  throughout  the  entire 
spawning  season.  In  general,  the  spawning  fre- 
quencies in  both  laboratory  studies  are  lower 
than  those  estimated  from  actual  spawning  fish 
in  the  field.  However,  it  is  unclear  whether  this  is 
due  to  an  overestimation  of  spawning  frequency 
in  the  field  or  to  a  decline  in  spawning  frequency 
owing  to  confinement  in  the  laboratory. 


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BROWN-PETERSON  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  THE  SPOTTED  SEATROUT 


ACKNOWLEDGMENTS 

We  thank  John  Trant,  John  Gourley,  John 
Smith,  and  Wayne  Wofford  for  their  help  with  the 
field  work  and  other  aspects  of  the  research. 
Funding  was  provided  by  grants  from  the  Sid 
Richardson  Foundation  and  the  Caesar  Kleberg 
Foundation. 

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388 


NOTES 


NOTES  ON  REPRODUCTION  IN 

THE  SCALLOPED  HAMMERHEAD,  SPHYRNA 

LEWINI,  IN  NORTHEASTERN  TAIWAN  WATERS 

The  reproductive  mode  of  hammerhead  sharks 
(family  Sphyrnidae)  is  placental  viviparity,  fol- 
lowing Teshima's  (1981)  designations.  Three  spe- 
cies of  hammerhead  sharks  are  known  from 
northeastern  Taiwanese  waters:  Sphyrna  lewini 
(Griffith  and  Smith),  S.  mokarran  (Riippel),  and 
S.  zygaena  (Linnaeus).  The  scalloped  hammer- 
head, S.  lewini,  commonly  found  from  Pung-Chia 
Island  to  Guei-Shan  Island  (Fig.  1)  is  one  of  the 
most  abundant  shark  species  in  this  area.  Based 
on  data  from  the  Nan  Fan  Ao  Fish  Market  (lo- 


cated in  northeastern  Taiwan),  460-510  t/year 
from  1982  through  1984  were  landed,  represent- 
ing one-fourth  of  the  total  catches  of  sharks  in 
this  area  (the  total  landing  being  1,760-2,240  t/ 
year).  Catches  peaked  in  spring  and  winter  and 
were  lower  in  summer  and  autumn. 

This  species  is  also  distributed  in  western  and 
southern  waters  of  Taiwan;  however,  the  catch 
from  those  areas  were  smaller.  The  employees  of 
the  southern  and  western  fish  markets  explained 
that  the  scalloped  hammerhead  is  occasionally 
seen  in  small  numbers  in  those  areas,  but  there 
are  no  landing  data.  It  is  also  common  in  coastal 
warm  temperate  and  tropical  seas  throughout 
much  of  the  world  (Compagno  1984).  Although 


26°N 


Figure  1. — Sampling  area  of 
Sphyrna  lewini. 


FISHERY  BULLETIN;  VOL.  86,  NO.  2,  1988 


25°N 


the  scalloped  hammerhead  is  one  of  the  most 
valuable  food  resources  in  Taiwan,  many  facets  of 
its  life  history,  particularly  reproduction,  are  not 
well  known.  This  study  provides  information 
about  certain  aspects  of  reproduction  in  the  scal- 
loped hammerhead  in  northeastern  Taiwan 
waters. 

Materials  and  Methods 

From  September  1982  to  June  1983  and  from 
December  1983  to  September  1985,  shark  speci- 
mens were  examined  and  material  collected 
monthly  at  Nan  Fan  Ao  Fish  Market.  These 
sharks  had  been  caught  by  drift  longlines  set  near 
the  surface  to  around  100  m,  or  by  surface  har- 
poon. A  total  of  674  scalloped  hammerhead 
sharks  were  examined  at  the  fish  market  (Table 
1).  Data  recorded  included  total  length  measured 
from  the  tip  of  the  snout  to  the  tip  of  the  upper 
lobe  of  the  caudal  fin  (straight  line  measure), 
body  weight,  clasper  length  (measured  from 
cloaca  to  the  tip  of  claspers),  ovarian  egg  diameter 
and  number,  and  condition  of  the  uteri.  In  addi- 
tion, uterine  embryos  were  counted,  sexed,  and 
measured  for  total  length.  Counts  of  litter  size 
included  any  uterine  eggs  as  well  as  embryos. 

Stages  of  maturity  for  both  females  and  males 
were  categorized  simply  as  "mature"  or  "imma- 
ture". Females  having  threadlike  uteri  and  tiny 
ovarian  eggs  were  called  immature,  while  those 
with  eggs  larger  than  25  mm  in  diameter,  with 
uteri  containing  embryos  or  eggs  or  with  empty 
but  expanded  and  flaccid  uteri,  were  designated 
as  mature.  Males  with  rigid  claspers  were  classi- 
fied as  being  mature.  Clasper  length  relative  to 
total  length  also  gave  an  indication  of  maturity. 


Table  1 . — The  number  of  specimens  examined  in 
this  study. 


Number  of 

specimens 

Immature 

Mature 

Month 

Male 

Female 

Male 

Female 

Jan. 

13 

11 

18 

93 

Feb. 

3 

3 

17 

43 

Mar, 

4 

13 

4 

44 

Apr. 

8 

34 

18 

68 

May 

3 

6 

9 

33 

June 

3 

2 

4 

20 

July 

4 

3 

11 

60 

Aug. 

3 

1 

6 

19 

Sept. 

0 

7 

3 

15 

Oct. 

0 

1 

1 

3 

Nov. 

0 

6 

1 

38 

Dec. 

1 

8 

1 

10 

Total 

42 

95 

91 

446 

Results 

The  reproductive  organs  of  scalloped  hammer- 
head closely  resemble  those  of  the  bonnethead 
shark,  S.  tiburo  (described  by  Schlernitzauer  and 
Gilbert  1966). 

As  with  the  bonnethead  shark,  only  the  right 
ovary  of  the  scalloped  hammerhead  is  functional, 
supplying  both  oviducts.  As  the  ovarian  eggs  ma- 
ture (>25  mm  diameter),  they  pass  through  the 
common  ostium  into  the  oviducts,  where  they  are 
fertilized.  The  eggs  then  become  encased  in  the 
embryonic  membrane  as  they  pass  through  the 
nidamental  gland  and  descend  into  the  uterus.  In 
the  uterus,  embryonic  development  proceeds, 
nourished  by  a  yolk  sac.  After  a  period,  the  uter- 
ine compartments  develop,  which  enclose  the  em- 
bryo, and  a  yolk-sac  placenta  is  implanted.  After 
the  yolk  is  exhausted,  the  embryo  is  nourished 
until  birth  by  the  placenta  through  the  umbilical 
stalk. 

Based  on  the  condition  of  the  uterus  and  ovary, 
female  scalloped  hammerheads  became  mature 
at  a  larger  size,  around  210  cm,  than  males.  All 
females  over  230  cm  were  mature. 

Based  on  the  rigidity  of  the  claspers,  male  scal- 
loped hammerheads  reached  their  first  maturity 
at  a  total  length  of  198  cm,  while  all  those  over 
210  cm  were  mature. 

The  clasper  length  of  males  increases  rapidly 
relative  to  total  length,  until  the  sharks  reach 
around  200  cm,  at  which  size  the  clasper  length/ 
total  length  relationship  plateaus,  suggesting 
that  sexual  maturity  has  been  attained  (Fig. 
2).  Also,  this  size  marked  the  approximate  transi- 
tion point  from  fiaccid  to  rigid  claspers  (Fig. 
2). 

It  takes  roughly  10  months  of  development 
from  egg  formation  to  ovulation  (Fig.  3).  In  Octo- 
ber and  November,  eggs  were  very  small,  measur- 
ing about  2  mm  in  diameter.  By  July  they  had 
increased  in  size  to  about  30-38  mm  and  num- 
bered 40-50  per  female,  and  by  August  and  Sep- 
tember they  had  grown  to  about  40-45  mm.  In 
one  mature  female,  in  September  we  counted  28 
uterine  eggs  and  4  ovarian  ones  measuring  45 
mm  in  diameter.  This  suggested  that  the  4 
ovarian  eggs  were  ready  for  ovulation.  Because 
ovarian  eggs  larger  than  30  mm  in  diameter 
seemed  near  ovulation,  we  concluded  that  ovula- 
tion occurred  between  July  and  October. 

The  parturition  season  lasts  from  May  to  July, 
and  the  gestation  period  of  this  species  was  esti- 
mated to  be  roughly  10  months  (Fig.  4).  No  em- 


390 


30 


26 


22 


X 
I    18 

LU 


5    14 
< 


••       • 


•      •     ••    •  • 


•  ••     • 


o 


o 

CO 
CDO 

ooo 
o  o 

o 


10 

6  - 


o 


J. 


_L 


•  :     rigid 
O      flaccid 
■  ■ 


120  140  160  180  200  220  240 

TOTAL         LE^4CTH  (cm) 


260 


280 


Figure  2. — Relationship  between  total  length  and  clasper  length  in  Sphyrna  lewini. 


Jan  heh        Mtr         Apf         M«y  Jun  lul         Au*         Sep        <  >cl  No*        Dec 


Figure  3. — Monthly  increase  in  the  ovarian  egg  diameter  of  Sphyrna  lewini.  Error 
bars  represent  2  SD;  numerals,  sample  size. 


bryos  were  found  in  July  and  August,  though 
some  mature  sharks  had  large  ovarian  eggs 
measuring  about  30-40  mm  in  diameter  during 
those  months.  The  first  uterine  eggs,  and  embryos 
measuring  around  2  cm  were  found  in  September. 
Uterine   eggs   were   observed   until   November. 


After  nine  more  months  of  rapid  growth,  the  em- 
bryos attained  a  total  length  of  around  45  cm  in 
the  period  between  May  and  June.  These  embryos 
were  regarded  as  full  term  because  they  were  eas- 
ily separated  from  placenta  implying  that  partu- 
rition would  occur  soon. 


391 


O 

X 


UJ 


50 


40 


30 


20 


10 


-i_ 


-L. 


M 


M        J         J 
MONTH 


N        [) 


Figure  4. — Monthly  growth  of  embryos  of  Sphyrna  lewini. 
Solid  triangles  indicate  the  uterine  eggs.  Error  represent  2  SD; 
numerals,  sample  size. 


Counts  of  the  number  of  uterine  embryos  as 
well  as  eggs  of  110  gravid  females  (230-320  cm 
TL)  ranged  between  12  and  38  (mean  25.8).  The 
relationship  between  the  total  number  of  uterine 
embryos  or  eggs  and  the  size  can  be  described  by 
the  regression  equations  (Fig.  5): 

N  =  -26.105 +  0.179L, 

where  N  is  litter  size,  and  L  is  total  length  in  cm 
of  the  female.  There  is  considerable  variation  in 
number  of  embryos  with  length,  and  the  correla- 
tion coefficient  r  is  low  (0.567),  but  obviously  fe- 
cundity is  related  to  the  size  of  the  parent. 

Examination  of  all  females  carrying  developing 
embryos  showed  that  occasionally  some  uterine 
eggs  failed  to  develop.  The  number  of  nondevelop- 
ing  uterine  eggs  carried  by  a  single  female  was 
1-4. 

As  with  litter  size,  the  number  of  ovarian  eggs 
increased  with  the  length  of  the  adult  female. 

The  embryos  from  51  gravid  females  were 
sexed;  of  a  total  of  1,281  embryos,  637  were  fe- 
males. The  sex  ratios  of  embryos  differed  by  litter; 
for  instance,  some  individuals  had  predominantly 
male  (13:5)  or  predominantly  female  (23:10)  lit- 
ters. But,  as  a  whole,  sex  ratio  was  about  1:1. 

The  ratio  of  males  to  females  for  immature 
sharks  in  northeastern  Taiwan  waters  was  about 
1:2  (42:91),  but  decreased  to  about  1:5  (95:446)  for 
mature  individuals  (Table  1).  There  was  no  ap- 
parent increase  in  the  relative  number  of  males 
in  the  catch  during  the  parturition  season. 


Discussion 

Scalloped  hammerhead  sharks  are  abundant  in 
the  coastal  seas  around  northeastern  Taiwan,  es- 
pecially during  the  spring  and  winter,  and  are 
captured  by  harpoon  or  drift  longlines  at  or  near 
the  surface.  Rarely  individuals  smaller  than  120 
cm  TL  are  captured  because  fishing  gear  and 
strategy  are  likely  selective  for  larger  fish. 
Clarke  (1971)  reported  that  in  Hawaii,  scalloped 
hammerhead  pups  usually  stay  close  to  the  bot- 
tom. 

Approximately  equal  numbers  of  male  and  fe- 
male scalloped  hammerhead  sharks  are  born,  al- 
though a  much  higher  proportion  of  females  than 
males  are  caught  in  the  studied  area.  We  are  un- 
certain whether  scalloped  hammerhead  females 
are  more  vulnerable  to  the  fishing  gear  or  are 
simply  more  numerous  in  this  area.  Similar  pre- 
dominances in  females  in  the  catch  have  been 
found  in  the  scalloped  hammerhead  in  the  Gulf  of 
California  (Klimley  1981;  Klimley  and  Nelson 
1981).  During  the  summer  in  1979  off  Baja  Cali- 
fornia, females  outnumbered  males  by  1.6  x  at 
Isla  Cerrolvo,  3.8 x  at  the  El  Bajo  Seamount,  and 


40 


38- 


32 


28  - 


o 
> 

a: 

00 

UJ 


24 


S   20 

z 
18 


- 

•t 

- 

• 
• 

• 

• 

• 
•  •       • 

- 

• 

•  • 

/ 

• 

•     •  ••    •  X 

•  •    •/  • 

• 

~ 

• 

■ 

• 

•  •/  • •  ••• 

• 

" 

• 

• 

" 

y 

•      •  \  • 

~ 

• 

/ 

• 

••  •  \ 

• 

X 

•• 

N  =  -26.105   +   0.179L 

/ 

(r=0.5665) 

-  y 

• 

• 

,             (n=110) 

• 

• 

• 

• 
• 

: 

J l_ 

• 

12- 


240         280         280        300         320 

TOTAL  LENGTH    (cm) 

Figure  5. — Relationship  between  fecundity  (number  of 
uterine  eggs  or  embryos)  and  total  length  of  Sphyrna 
lewini  females. 


392 


3.1  X  farther  north  at  Isla  Las  Animas  (Klimley 
1981;  Klimley  and  Nelson  1981).  Similar  dispari- 
ties in  sex  ratios  were  also  observed  in  sandbar 
sharks  by  Springer  ( 1960).  He  felt  that  adult  male 
sandbar  sharks  live  over  a  large  geographical  and 
depth  range,  perhaps  in  deep  cool  oceanic  waters 
inaccessible  to  the  fishermen's  gear,  while  fe- 
males occur  in  warmer  inshore  water  where  they 
are  more  accessible  to  fishermen.  He  suggested 
that  the  males  move  inshore  only  to  mate.  We  had 
insufficient  data  to  test  this  suggestion  in  our 
sample  area. 

Castro  (1983)  reported  that  S.  lewini  from 
North  American  waters  probably  mature  at  about 
180  cm;  he  did  not  mention  whether  this  length 
referred  to  male,  female,  or  both.  Bass  et  al. 
(1975)  reported  that  male  scalloped  hammerhead 
at  Mozambique  matured  between  140  and  165 
cm,  reaching  a  maximum  length  of  at  least  295 
cm;  females  matured  at  about  212  cm,  reaching  at 
least  309  cm.  Compagno  (1984)  reported  "maxi- 
mum" sizes  ranging  from  370  to  420  cm.  Our 
largest  males  were  305  cm  TL,  and  the  smallest 
mature  male  was  198  cm  TL.  The  largest  female 
observed  was  324  cm,  and  the  smallest  mature 
female  was  210  cm.  It  seems  that  in  our  sample 
area,  males  reached  maturity  at  a  somewhat 
larger  size  than  in  the  other  studied  areas  while 
females  were  about  the  same. 

The  close  relationship  of  growth  pattern  of 
uterine  embryos  and  ovarian  eggs  implies  that 
eggs  are  transferred  into  the  uterus  and  fertilized 
immediately  after  parturition.  If  the  estimate  of 
10  month  gestation  period  is  correct,  adult  fe- 
males give  birth  once  each  year. 

The  length  at  birth  of  scalloped  hammerheads 
has  been  reported  to  be  around  50  cm  from  Natal 
and  southern  Mozambique  coastal  waters  (Bass  et 
al.  1975),  43  cm  from  northeastern  United  States 
to  Chesapeake  Bay  waters  (Casey  1964),  38-45 
cm  in  North  American  waters  (Castro  1983),  and 
42-55  cm  combined  from  all  oceans  (Compagno 
1984).  Our  largest  uterine  embryos  measured 
about  47  cm  TL. 

Pupping  season  appears  to  be  during  the  sum- 
mer in  Taiwan  as  well  as  in  Mozambique  (Bass  et 
al.  1975)  and  North  America  (Castro  1983).  In 
Hawaii,  Clarke  (1971)  found  newborn  pups 
throughout  the  year  but  with  increased  numbers 
in  summer. 


Fisheries  Center,  National  Marine  Fisheries  Ser- 
vice, NOAA,  for  reading  the  first  draft  of  this 
manuscript  and  offering  useful  comments.  We 
also  thank  Jin-Jehn  Wu,  Department  of  Fish- 
eries, National  Taiwan  College  of  Marine  Science 
and  Technology,  for  his  help  in  collecting  speci- 
mens. Financial  support  was  received  from  Na- 
tional Science  Council  (contract:  NSC  72-0409- 
B019091  and  NSC  73-0409-B019-02). 

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families    Carcharinidae    and    Sphymidae.     Oceanogr. 
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1964.     Angler's  guide  to  sharks  of  the  northeastern  United 
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1983.  The  sharks  of  North  American  waters.  Texas 
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Clarke,  T  A 

1971.     The  ecology  of  the  scalloped  hammerhead  shark, 
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Klimley,  A.  P 

1981.     Grouping    behavior    in    the    scalloped    hammer- 
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1960.     Natural  history  of  the  sandbar  shark,  Eulamia  mil- 
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Che-Tsung  Chen 

Tzyh-Chang  Leu 

Shoou-Jeng  Joung 

Graduate  School  of  Fisheries 

National  Taiwan  College  of  Marine  Science 

and  Technology 
Keelung,  Taiwan 
Republic  of  China 


Acknowledgments 

We  sincerely  thank  Susumu  Kato,  Southwest 


393 


OCCURRENCE  OF  YOUNG-OF-THE-YEAR  KING, 
SCOMBEROMORUS  CAVALLA ,  AND  SPANISH, 

5.  MACULATUS,  MACKERELS  IN 

COMMERCIAL-TYPE  SHRIMP  TRAWLS  ALONG 

THE  ATLANTIC  COAST  OF 

THE  SOUTHEAST  UNITED  STATES^ 

King  mackerel,  Scomberomorus  cavalla,  and 
Spanish  mackerel,  S.  maculatus ,  are  migratory 
scombrids  that  support  large  recreational  and 
commercial  fisheries  along  the  southeast  coast  of 
the  United  States  (Manooch  1979).  Recent  evi- 
dence indicates  that  both  species  may  be  overex- 
ploited  in  portions  of  their  range,  prompting  the 
South  Atlantic  Fishery  Management  Council  to 
impose  catch  limits  and  landing  quotas^.  Many 
aspects  of  the  biology  and  ecology  of  adult  mack- 
erels in  this  region  have  been  studied  (Manooch 
et  al.  1978;  Collette  and  Russo  1984),  and  the 
larval  stages  have  also  received  attention  (Fahay 
1975;  Collins  and  Stender  1987).  However,  little 
is  known  concerning  the  distribution  and  occur- 
rence of  juvenile  (young-of-the-year)  mackerels 
along  the  Atlantic  coast  of  the  southeastern 
United  States,  nor  does  it  seem  to  be  widely 
known  that  large  numbers  of  these  young  fishes 
may  be  included  in  the  bycatch  of  a  major  fishery. 
This  report  provides  preliminary  information  on 
both  of  these  topics. 

Methods 

During  1980-82  and  1985-86  the  Marine  Re- 
sources Monitoring  and  Assessment  Program 
(MARMAP)  at  the  South  Carolina  Marine  Re- 
sources Research  Institute  conducted  trawl  sur- 
veys of  the  nearshore  fish  fauna  in  the  South  At- 
lantic Bight  (Cape  Hatteras,  NC,  to  Cape 
Canaveral,  FL).  Before  1986,  trawl  gear  consisted 
of  two  semiballoon  shrimp  trawls  with  an  18.3  m 
footrope,  a  12.2  m  headrope,  4.1  cm  stretch  mesh 
in  the  cod  end,  and  1.5  x  0.9  m  doors  towed  at  2.5 
knots  (4.6  m/second).  In  1986,  paired  "tongue" 
trawls  with  a  22.9  m  footrope,  4.1  cm  mesh,  and 
3.0  X  1.0  m  doors  were  towed  at  approximately 
2.5  knots.  Sampling  strategy  and  length  of  tow 
(20  minutes  to  1  hour)  varied  between  cruises. 
Station  depths  were  3-18  m  in  1980-81  and  3-9 
m  in  subsequent  years.  In  each  sample,  all  mack- 


erels were  identified  to  species  and  measured 
(fork  length),  and  number  and  total  weight  were 
recorded  for  each  species.  We  conducted  two  addi- 
tional cruises  in  1986  to  test  tongue  trawl  nets 
equipped  with  trawl  efficiency  devices  (TED's).  A 
National  Marine  Fisheries  Service  (NMFS)  TED 
equipped  with  finfish  deflector"^  was  installed  in 
one  net,  a  Georgia  TED^  in  a  second  net,  and  a 
third  net  acted  as  a  control.  The  TED's  were 
fished  against  each  other  and  against  the  control 
for  a  total  of  30  tows  on  the  first  cruise  (July-Au- 
gust 1986)  and  15  tows  on  the  second  (September- 
October  1986). 

Tongue  nets,  also  known  as  bib,  falcon,  cobra, 
or  mongoose  trawl  nets,  have  become  widely  used 
by  commercial  shrimpers  in  some  areas  during 
recent  years  (Edwards  1987).  The  major  differ- 
ence between  these  and  other  common  towed 
gears  used  in  the  penaeid  shrimp  fishery  is  a  mod- 
ified and  elongated  headrope  that  is  held  well 
above  the  footrope  by  attachment  to  the  trawl 
warp  with  a  third  bridle.  A  large  float,  usually 
attached  to  the  center  of  the  headrope,  produces  a 
high,  vertical  mouth  opening.  The  result  is  a  net 
that  fishes  a  larger  portion  of  the  water  column 
than  other  common  nets  with  similar  footrope 
and  door  configurations. 

Results 

During  years  when  semiballoon  nets  were  used, 
catch  per  unit  effort  of  mackerels  was  relatively 
low  (king  mackerel:  0.2-0.4  individuals/net-hour; 
Spanish  mackerel:  0.3-2.2  individuals/net-hour). 
Tongue  trawl  nets  on  four  1986  cruises  gave 
cruise-specific  average  catches  of  2.5-8.7  individ- 
uals/net-hour for  king  mackerel  and  12.4-115.2 
individuals/net-hour  for  Spanish  mackerel,  using 
catches  of  control  [unmodified]  nets  for  TED 
cruises  (Table  1).  Both  species  were  taken  as  late 
as  30  October,  except  for  two  king  mackerel 
caught  in  December  1982.  Approximately  79%  of 
king  and  91%  of  Spanish  mackerel  were  caught  in 
depths  <9  m  during  the  two  years  in  which  sam- 
ple depths  extended  to  18  m. 

Mackerels  taken  in  shrimp  trawls  were  almost 
entirely  juvenile  fishes.  Rather  than  pool  catches 
between  cruises  that  often  differed  in  time  of 
year,  geographic  area,  and  sampling  strategy,  ex- 
amples of  length  frequencies  of  Spanish  and  king 


iContribution  No.  244  of  the  South  Carolina  Marine  Re- 
sources Center. 

^South  Atlantic  Fishery  Management  Council,  Council  Meet- 
ing Summary,  27-29  April  1987,  Charleston,  SC. 


3Described  and  illustrated  in  the  Federal  Register,  vol.  52,  no. 
124;  Monday,  June  29,  1987  -  Rules  and  Regulations;  p.  24244- 
24262. 


394 


FISHERY  BULLETIN:  VOL.  86,  NO  2,  1988. 


Table  1. — Results  of  nearshore  cruises  using  two  types  of  shrimp  trawls. 


Cruise  dates 

Net  type 

Sampling! 
strategy 

Sample  area2 

Total 
net-hour 

No. 
Spanish 

No. 
kings 

July-Sept.  1980 

semiballoon 

SR  +  NR 

NC, 

SC,  GA,  FL 

114 

250 

40 

Apr.-June  1981 

semiballoon 

SR 

NC. 

SC.  GA.  FL 

77 

21 

13 

Sept.  1982- 
Jan.  1983 

semiballoon 

SR 

NC, 

SC,  GA,  FL 

73 

27 

27 

Aug. -Sept.  1985 

semiballoon 

SR  +  NR 

NC, 

SC,  GA,  FL 

59 

120 

36 

Aug. -Sept.  1986 

tongue 

NR 

NC, 

SC,  GA,  FL 

41 

1,421 

104 

Oct.  1986 

tongue 

SR 

NC, 

SC,  GA 

55 

681 

481 

July-Aug.  1986 

tongue 

NR 

SC 

20 

2,303 

84 

Sept.-Oct.  1986 

tongue 

NR 

SC 

20 

327 

80 

^SR  =  stratified  random  sampling;  NR  =  nonrandom  sampling. 

2At  least  some  portions  of  the  waters  of  these  states  were  sampled. 


mackerels  taken  in  tongue  nets  on  two  cruises  are 
presented  in  Figures  1  and  2,  respectively.  Com- 
parisons of  the  catch  rates  of  Spanish  mackerel 
during  the  TED  evaluations  in  July- August  1986 
showed  that  significantly  fewer  were  taken  in  the 
tongue  net  equipped  with  a  NMFS  TED  than  the 


control  net  (Mann-Whitney:  P  <  0.001)  or  the 
Georgia  TED-net  (P  <  0.05)  (Table  2).  There  were 
no  significant  differences  in  catches  of  king  mack- 
erel (Table  3),  or  in  catches  of  either  species  be- 
tween nets  on  the  September-October  cruise,  per- 
haps due  to  the  smaller  sample  sizes. 


Figure  1.  —  Length-frequency  distribution  of 
Spanish  mackerel  taken  in  shrimp  tongue  trawl  nets 
during  July-August  1986  along  the  southern  At- 
lantic coast  of  the  United  States  in  =  2,303). 


FORK   LENGTH   (cm) 


395 


130  -I 


24  28  32  36 

FORK   LENGTH  (cm) 


r 

40 


I 

44 


Figure  2. — Length-frequency  distribution  of  king  mackerel  taken  in  shrimp  tongue  trawl  nets 
during  October  1986  along  the  southern  Atlantic  coast  of  the  United  States  (n  =  481). 


Table  2. — Catches  of  Spanish)  mackerel  during  evaluations  of  tongue  nets  equipped  with  trawl  efficiency  devices 
(TED'S).  C  =  22.9  m  footrope  length  tongue  net;  NMFS  =  22.9  m  footrope  length  tongue  net  with  a  NMFS  TED; 
GA  =  22.9  m  footrope  length  tongue  net  with  a  Georgia  TED.  Tow  times  =  1  hour. 


No.  of 

Net 

No.  of  Spanish  mackerel 

Net 

No.  of  Spanish  mackerel 

Cruise 

Comparison 

tows 

type 

Total 

X  ±SD 

Range 

type 

Total 

X  ±SD 

Range 

July-Aug. 

C-NMFS 

10 

C 

1,104 

110  ±27 

68-144 

NMFS 

519 

52  ±23 

12-73 

C-GA 

10 

C 

1,199 

120  ±65 

40-276 

GA 

1,219 

122  ±  74 

44-300 

NIVIFS-GA 

10 

NMFS 

880 

88  ±53 

35-176 

GA 

1,650 

165  ±142 

67-533 

Sept.-Oct. 

C-NMFS 

5 

C 

104 

21  ±  15 

2-41 

NMFS 

53 

11  ±  11 

2-27 

C-GA 

5 

C 

206 

41  ±38 

1-103 

GA 

155 

31  ±28 

0-76 

NI^FS-GA 

5 

NMFS 

108 

22  ±23 

4-58 

GA 

149 

30  ±25 

3-59 

Table  3. — Catches  of  king  mackerel  during  evaluations  of  tongue  nets  equipped  with  trawl  efficiency  devices 
(TED'S).  C  =  22.9  m  footrope  length  tongue  net;  NMFS  =  22.9  m  footrope  length  tongue  net  with  a  NMFS  TED; 
GA  =  22.9  m  footrope  length  tongue  net  with  a  Georgia  TED.  Tow  times  =  1  hour. 


Comparison 

No.  of 
tows 

Net 
type 

No. 

of  king 

mackerel 

Net 
type 

No. 

of  king 

mackerel 

Cruise 

Total 

X  ± 

SD 

Range 

Total 

X  ± 

SD 

Range 

July-Aug. 

C-NMFS 

10 

C 

41 

4± 

4 

1-13 

NMFS 

46 

5± 

9 

0- 

-30 

C-GA 

10 

C 

43 

4± 

5 

0-15 

GA 

41 

4  ± 

4 

0- 

-13 

NMFS-GA 

10 

NMFS 

23 

2± 

3 

0-8 

GA 

26 

3± 

5 

0- 

-17 

Sept.-Oct. 

C-NMFS 

5 

C 

26 

5± 

7 

0-15 

NMFS 

14 

3± 

3 

0- 

-5 

C-GA 

5 

C 

40 

8± 

8 

4-22 

GA 

22 

4  ± 

5 

1- 

-14 

NMFS-GA 

5 

NMFS 

24 

5± 

2 

2-8 

GA 

20 

4± 

4 

2- 

-11 

Discussion 

Although  it  is  possible  that  juvenile  mackerels 
were  more  abundant  in  1986  than  in  previous 
years,  the  increased  catches  of  these  fishes  in 
tongue  nets  over  semiballoon  nets  suggests  that 
the  former  are  much  more  efficient  in  capturing 
these  fishes.  Preliminary  data  from  a  gear  com- 


parison cruise  in  1987  indicate  that  tongue  nets 
do  catch  more  pelagic  fishes  than  semiballoon 
nets  even  after  adjusting  for  differences  in 
footrope  lengths  (G.  Sedberry"*).  Unfortunately, 


■*G.  Sedberry,  Marine  Resources  Research  Institute,  South 
Carolina  Wildlife  and  Marine  Resources  Department,  P.O.  Box 


396 


these  tests  were  conducted  during  March-April 
when  juvenile  mackerels  are  rare  in  the  coastal 
waters  of  South  Carolina. 

In  1986  we  collected  juvenile  mackerels  during 
July  through  October.  Because  of  incomplete  tem- 
poral sampling,  we  do  not  know  if  they  were 
present  earlier  and  later  in  the  year  in  this  re- 
gion. Based  on  the  occurrence  of  early  larval 
stages,  spawning  of  both  mackerels  in  the  South 
Atlantic  Bight  extends  from  May  through  at  least 
September  (Collins  and  Stender  1987).  If  growth 
rate  estimates  of  ca.  3  mm/day  for  juveniles  are 
correct  (M.  R.  Collins,  unpubl.  data),  king  mack- 
erel spawned  in  early  May  could  be  recruited  into 
the  bycatch  of  the  shrimp  fishery  in  June.  Late- 
spawned  fish  from  the  previous  year  may  also  be 
present  at  this  time.  In  South  Carolina,  the  open 
season  for  commercial  trawling  for  penaeid 
shrimps  in  state  waters  usually  extends  from 
June  through  December,  which  coincides  with  the 
presence  of  juvenile  mackerels  in  the  heavily 
fished  nearshore  waters.  In  addition,  mackerels 
were  much  more  abundant  in  tows  made  in 
depths  <9  m,  which  includes  the  preferred 
shrimping  areas,  than  in  deeper  waters.  This  may 
be  due  either  to  greater  abundance  in  these 
depths  or  to  greater  catchability  in  response  to 
the  fact  that  the  trawl  nets  fish  a  larger  portion  of 
the  water  column  in  shallower  areas. 

It  is  difficult  to  accurately  estimate  the  bycatch 
of  mackerels  in  the  commercial  shrimp  fishery 
owing  to  lack  of  current,  detailed  information 
from  throughout  the  region  on  number  of  vessels, 
effort  expended,  gears  used,  and  areas  fished. 
However,  our  catch  rates  suggest  that  the  impact 
of  tongue  nets  on  mackerel  stocks  may  be  signifi- 
cant. As  the  current  status  of  these  stocks  is  such 
that  strong  restrictions  have  been  imposed  on 
both  the  recreational  and  commercial  fisheries,  it 
is  unfortunate  that  the  situation  may  be  exacer- 
bated by  a  potentially  large  bycatch  of  juvenile 
mackerels  in  the  shrimp  fishery.  More  informa- 
tion is  needed  on  the  ecology  and  behavior  of 
young  mackerels,  and  their  vulnerability  to  vari- 
ous gears,  in  order  to  resolve  this  conflict. 

Acknowledgments 

We  wish  to  express  our  appreciation  to  the 
many  people  who  assisted  in  the  tedious  tasks  of 
collecting  and  processing  trawl  samples  over  the 


years,  including  the  captains  and  crews  of  the 
vessels  involved.  This  work  was  sponsored  by  the 
National  Marine  Fisheries  Service  (Southeast 
Fisheries  Center),  the  South  Carolina  Wildlife  & 
Marine  Resources  Department,  and  the  Sport 
Fishery  Research  Foundation. 

Literature  Cited 

COLLETTE.  B  B  .  AND  J  L  RUSSO 

1984.     Morphology,    systematics,    and    biology    of    the 

Spanish      mackerels     (Scomberomorus ,     Scombridae). 

Fish.  Bull.,  U.S.  82:545-692. 
Collins,  M  R  .  and  B  W  Stender. 

1987.     Larval    king   mackerel   (Scomberomorus   cavalla), 
Spanish   mackerel    (S.    maculatus),   and   bluefish   iPo- 
matomus  saltatrix )  off  the  southeast  coast  of  the  United 
States,  1973-1980.     Bull.  Mar.  Sci.  41:822-834. 
Edwards.  M  L. 

1987.     The  shrimp  trawl.     Natl.  Fisherman  67(13):89-92. 
Fahay,  M  P 

1975.  An  annotated  list  of  larval  and  juvenile  fishes  cap- 
tured with  surface-towed  meter  net  in  the  South  Atlantic 
Bight  during  four  RV  Dolphin  cruises  between  May  1967 
and  February  1968.  U.S.  Dep.  Commer.,  NOAA  Tech. 
Rep.  NMFS  SSRF-685,  39  p. 
Manooch.  C  S  ,  III 

1979.  Recreational  and  commercial  fisheries  for  king 
mackerel,  Scomberomorus  cavalla ,  in  the  South  Atlantic 
Bight  and  Gulf  of  Mexico,  U.S.A.  In  E.  L.  Nakamura 
and  H.  R.  Bullis  (editor),  Proceedings  of  the  mackerel 
colloquium,  p.  33-41.  Gulf  States  Mar.  Fish.  Comm., 
Brownsville,  TX. 
Manooch.  C  S  ,  III.  E  L.  Nakamura,  and  A  B  Hall 

1978.  Annotated  bibliography  of  four  Atlantic  scombrids: 
Scomberomorus  brasiliensis ,  S.  cavalla,  S.  maculatus, 
and  S.  regalis.  U.S.  Dep.  Commer.,  NOAA  Tech.  Rep. 
NMFS  Circ.  418,  166  p. 

Mark  R  Collins 
Charles  A.  Wenner 

Marine  Resources  Research  Institute 
South  Carolina  Wildlife  and  Marine 

Resources  Department 
P.O.  Box  12559 
Charleston,  SC  29412 


12559,  Charleston,  SC  29412,  pers.  commun.  May  1987. 


STOMACH  CONTENTS  OF  COMMERCIALLY 

CAUGHT  HUDSON  RIVER  STRIPED  BASS, 

MORONE  SAXATILIS ,  1973-75 

The  Hudson  River  estuary  is  a  detritus-driven 
ecosystem.  Only  a  few  of  the  100  or  more  reported 
fish  species  function  as  tertiary  piscivores  more 
typical  of  a  grazing  food  chain.  Of  these  few  spe- 
cies, which  include  the  American  eel,  Anguilla 
rostrata,    and    the    summer-transient   juvenile 


FISHERY  BULLETIN:  VOL.  86,  NO.  2.  1988. 


397 


bluefish,  Pomatomus  saltatrix,  striped  bass,  Mo- 
rone  soxatilis,  are  probably  the  most  important  in 
terms  of  biomass  and  commercial  value.  How- 
ever, commercial  fishing  for  the  American  eel  and 
striped  bass  has  been  banned  in  the  Hudson  since 
1976  because  both  species  are  contaminated  with 
higher  levels  of  toxic  polychlorinated  biphenyls 
(PCB's)  than  most  other  Hudson  River  fish  spe- 
cies. 

To  date,  only  one  published  paper  has  touched 
upon  the  diet  of  prespawning  Hudson  River 
striped  bass  larger  than  400  mm  TL  (Gardinier 
and  Hoff  1982),  and  their  results  for  fish  of  that 
size  are  based  on  less  than  10  samples  for  which 
fish  remains  were  identified  to  species  or  family 
level.  The  present  paper  describes  the  findings  of 
stomach  content  analysis  for  510  striped  bass, 
most  of  which  were  prespawning  adults  larger 
than  400  mm  TL  (Fig.  1)  collected  during  the 
spring  months  of  1973-75  by  commercial  gill  nets 
in  the  Tappan  Zee  region  of  the  Hudson  River. 

Description  of  Sampling  Area  and  Methods 

The  Tappan  Zee  gill-net  fishery  is  located  ap- 
proximately 90  m  south  of  the  Tappan  Zee  Bridge 
at  river  km  43.5  (measured  from  the  Manhattan 
Battery)  in  a  relatively  shallow  section  that  is  4.5 
km  wide,  a  location  through  which  many  of  the 
spawners  move  on  the  way  to  upstream  spawning 
grounds.  The  staked  gill  nets  were  set  perpendic- 
ularly to  the  north-south  current  in  water  depths 


of  2.4-9.8  m  and  spanned  a  distance  of  approxi- 
mately 1.6  km  out  to  the  dredged  channel  on  the 
east  side  of  the  river.  Stretched  mesh  sizes  were 
11.4,  11.8,  12.1,  12.7,  13.3,  and  14.0  cm.  Water 
temperatures  during  the  sampling  period  ranged 
from  approximately  6°  to  19.5°C,  and  the  salinity 
was  essentially  that  of  freshwater,  rarely  rising 
above  300  mg/liter.  Sampling  dates  included  the 
following  periods  in  each  year:  28  March-9  May 
1973,  8  April-20  May  1974,  and  6  April-19  May 
1975.  Fish  were  collected  from  the  nets  at  8-12  h 
intervals,  placed  on  ice,  and  taken  directly  to  a 
laboratory  for  total  length  (TL)  measurements 
and  stomach  content  analysis.  Prey  items  were 
identified  with  the  aid  of  a  binocular  dissecting 
scope  and  frequency  of  occurrence  was  noted. 

Results 

Stomach  Content  Analysis 

A  summary  table  of  stomach  content  data, 
pooled  for  the  three  years  of  analysis  (Table  1), 
shows  that  adult,  prespawning  striped  bass  were 
highly  piscivorous  and  that  89%  of  the  stomachs 
containing  identified  food  items  contained  fish 
and  21%  contained  invertebrate  remains,  primar- 
ily those  ofCrangon  species.  Clupeid  species  were 
the  most  prevalent  fish,  with  blueback  herring, 
Alosa  aestivalis,  predominating.  Most  of  the  clu- 
peids  were  adult,  prespawning  herring,  approxi- 
mately 200  mm  TL. 


NUMBER  OF  FISH  =  510 


140 


400  450  500  550  600  650  700  750  800  850  900  950  1000  1050 

TOTAL  LENGTH  (mm) 

Figure  1. — Length  distribution  of  Hudson  River  striped  bass  examined  for  stomach  con- 
tents. 


398 


Table  1— Stomach  contents  of  adult  prespawning  striped  bass  collected  by  commercial  gill  net  during 

spring  1973,  1974,  and  1975. 


%  Frequency  of 

%  Frequency  of  occurrence 

Number  of 

occurrence  based  on 

based  on  number  of 

stomachs 

total  stomachs 

stomachs  containing 

in  which 

analyzed 

identified  food  items 

Food  item 

item  occurred 

(n  =  510) 

(n  =201) 

Fish 

179 

35.1 

89.1 

Clupeidae 

73 

14.3 

36.3 

Alosa  pseudoharengus 

13 

2.5 

6.5 

Alosa  aestivalis 

29 

5.7 

14.4 

Brevoortia  tyrannus 

3 

0.6 

1.5 

Clupeidae 

28 

5.5 

13.9 

Morone  spp. 

9 

1.8 

4.5 

Morone  americana 

6 

1.2 

3.0 

Morone  saxatilis'^ 

1 

0.2 

0.5 

Morone  spp. 

2 

0.4 

1.0 

Other  fish 

29 

5.7 

14.4 

Ammodytes  americanus 

14 

2.7 

7.0 

Microgadus  tomcod 

7 

1.4 

3.5 

Osmerus  mordax 

2 

0.4 

1.0 

Syngnathus  fuscus 

2 

0.4 

1.0 

Anchoa  mitciiilii 

2 

0.4 

1.0 

Ictalurus  catus 

1 

0.2 

0.5 

Scomber  scombrus 

1 

0.2 

0.5 

Unidentified  fish  remains 

68 

13.3 

33.8 

Invertebrates 

43 

8.4 

21.4 

Crangon  spp. 

38 

7.5 

18.9 

Polyctiaeta 

5 

1.0 

2.5 

Unidentified  contents 

11 

2.2 

Not  applicable 

Total  stomachs  analyzed 

510 

Number  (percent)  containing  identified  food  items 

201  (39.4) 

Number  (percent)  containing  food  material  (identified  and  unidentified) 

212  (41.6) 

Number  (percent)  empty 

296  (58.4) 

'Two  yearling  striped  bass  in  female  collected  15  April  1974. 


The  next  most  abundant  fish  prey  species  in  the 
composite  1973-75  sample  was  the  American 
sand  lance,  Ammodytes  americanus.  Sand  lance 
were  present  in  striped  bass  stomachs  only  during 
1975,  when  the  frequency  of  occurrence  was  about 
ll9c  (Fig.  2).  Atlantic  tomcod,  Microgadus  tom- 
cod, were  found  in  striped  bass  stomachs  only 
during  1973  when  the  frequency  of  occurrence 
was  about  20%,  somewhat  higher  than  the  fre- 
quency of  clupeid  species  for  that  year  (Fig.  2). 
These  fish  were  yearling,  postspawning  Atlantic 
tomcod  averaging  about  125  mm  TL.  The  Morone 
species,  white  perch,  M.  americana,  and  striped 
bass,  had  a  frequency  of  occurrence  of  4.5%  for  the 
composite  sample  and  were  present  in  striped 
bass  stomachs  every  year  (Fig.  2). 

Discussion 

Similar  to  findings  in  this  study,  Trent  and 
Hassler  (1966)  found  that  blueback  herring  were 
predominant  in  the  diet  of  adult,  prespawning 
striped  bass  from  the  Roanoke  River,  NC,  and 
Manooch  (1973)  found  that  herring  ranked  second 
after  Atlantic  menhaden,  Brevoortia  tyrannus ,  in 


the  spring  diet  of  adult  striped  bass  from  Albe- 
marle Sound,  NC.  Data  from  Gardinier  and  HofF 
(1982)  do  not  indicate  that  blueback  herring  or 
clupeids  were  important  in  the  diet  of  prespawn- 
ing Hudson  River  striped  bass  collected  during 
1976  and  1977,  but  fish  remains  in  bass  stomachs 
were  generally  not  identified  to  the  family  or  spe- 
cies level  in  their  study. 

American  sand  lance  are  rarely  found  over 
muddy  bottoms  (Bigelow  and  Schroeder  1953; 
Leim  and  Scott  1966)  or  within  estuaries  (Mass- 
man  1960;  Norcross  et  al.  1961),  but  they  ranked 
second  only  to  blueback  herring  in  the  diet  of 
Hudson  River  striped  bass.  Sand  lance  were  not 
reported  from  the  Hudson  River  prior  to  1975 
when  adults  and  larvae  were  relatively  abundant 
in  February-April  ichthyoplankton  collections 
south  of  the  Tappan  Zee  Bridge  (Dew  and  Hecht 
1976).  Data  from  the  present  study  (Fig.  2)  and 
from  early  spring  ichthyoplankton  sampling  dur- 
ing 1976  (Dew,  unpub.  data),  indicate  that  sand 
lance  are  not  abundant  every  year  in  the  Hudson, 
but  it  is  probable  that  during  some  years  adult 
sand  lance  serve  as  important  alternate  prey  for 
prespawning  striped  bass. 


399 


o 


o 
o 

o 


>- 
o 


3 

o 


8? 


100 


80 


..        60 


40 


20 


^  CLUPEIDS 

[^  MORONE    SPP. 

^  ATLANTIC    TOMCOD 

□  SAND    LANCE 

□  UNIDENTIFIED  FISH  REMAINS 


N  =  36 


i 


it 


-iii 


1973 


N  =  39 


i 


Fl 


i 


I 


i 


A 


N  =126 


1974 


1975 


N  =  201 


P 


i 


i 


^±.„L^ 


1973-  1975 


Figure  2. — Percent  frequency  of  occurrence  offish  prey  categories  based  on  number  of  stomachs  containing  identified  food. 


The  fact  that  Atlantic  tomcod  were  found  only 
during  1973  may  be  due  to  a  sampling  artifact 
because  1973  was  the  only  year  in  which  March 
samples  were  taken,  and  all  tomcod  prey  were 
found  during  March  1973.  In  March,  gravid 
alewives,  Alosa  pseudoharengus ,  and  blueback 
herring  have  not  yet  moved  into  the  estuary  and, 
prior  to  the  arrival  of  these  apparently  preferred 
prey  species,  Atlantic  tomcod  may  serve  as  an 
alternate  forage  fish.  Thus  the  winter-spawning 
Atlantic  tomcod  may  be  a  regular  diet  item  at  a 
time  when  alternate  prey  species  are  not  avail- 
able. 

It  is  evident  from  Table  1  that  there  are  several 
alternate  fish  prey  for  striped  bass  in  the  Hudson 
River  (e.g.,  blueback  herring,  sand  lance,  alewife, 
Atlantic  tomcod,  white  perch,  and  striped  bass), 
and  it  is  expected  that  striped  bass  predation 
upon  these  species  would  be  of  a  compensatory 
nature.  In  a  simple  predator-prey  situation  where 
there  are  no  alternate  prey,  predation  is  often 
depensatory  (Neave  1953)  because  a  population  of 
predators  would  tend  to  seek  out  and  consume  a 
high  proportion  of  small  year  classes  and  a  lower 
proportion  of  strong  year  classes.  In  a  more  com- 
plex community  where  there  are  several  species 
of  prey,  predation  may  be  compensatory  if  preda- 
tors change  their  feeding  habits  in  response  to  the 
availability  of  food  (Ivlev  1961;  Forney  1971). 
That  is,  if  several  equally  suitable  prey  species 
were  available  within  a  system,  the  predator  spe- 


cies would  tend  to  feed  more  heavily  on  the  most 
abundant  species,  thus  acting  in  a  compensatory 
manner. 

The  ratio  of  white  perch  to  striped  bass  in  stom- 
ach samples  identified  to  the  species  level  is  6:1 
(Table  1).  This  ratio  is  based  on  a  small  sample 
size,  but  it  closely  approximates  the  long-term 
average  ratio  of  5.9:1  for  annual  CPUE  values  for 
white  perch  and  striped  bass  collected  in  several 
hundred  bottom  trawls  from  the  Haverstraw  Bay 
region  (Milepoint  36)  during  1971-77  (Lawler, 
Matusky  and  Skelly  Engineers  unpubl.  data).  In 
other  words,  yearling  and  older  white  perch  and 
yearling  striped  bass  may  be  equally  attrac- 
tive prey  species,  and  their  frequency  of  oc- 
currence in  adult  striped  bass  stomachs  may 
depend  primarily  upon  the  frequency  of  ran- 
dom encounters  rather  than  active  prey  selec- 
tion. If  this  were  true,  the  frequency  of  can- 
nibalism should  be  greatest  during  those  years 
when  the  abundance  of  yearling  striped  bass  rela- 
tive to  white  perch  (and  other  species)  was  great- 
est. 

Acknowledgments 

Financial  support  for  this  project  came  from 
Lawler,  Matusky  and  Skelly  Engineers;  Con- 
solidated Edison  of  New  York;  Central  Hudson 
Gas  and  Electric;  and  Orange  and  Rockland 
Utilities. 


400 


Literature  Cited 

BiGELOW.  H.  3.,  AND  W.  C.  SCHROEDER 

1953.     Fishes  of  the  Gulf  of  Maine.     Fish.   Bull.   53:1- 
577. 
Dew.  C  B  .  and  J  H  Hecht 

1976.  Observations  on  the  papulation  dynamics  of  At- 
lantic tomcod  Microgadus  tomcod  in  the  Hudson  River 
estuary.  Proc.  Fourth  Symposium  On  Hudson  River 
Ecology,  Paper  25.  Hudson  River  Environmental  Soci- 
ety, Bronx,  N.Y. 
Forney,  J  L 

1971.  Development  of  dominant  year  classes  in  a  yel- 
low perch  population.  Trans.  Am.  Fish.  Soc.  100:739- 
749. 

GaRDINIER.  M   N  ,  AND  T  B  HOFF 

1982.     Diet  of  striped  bass  in  the  Hudson  River  estuary. 
New  York  Fish  Game  J.  29(2):152-165. 
IVLEV,  V  S. 

1961.     Experimental    ecology    of  the    feeding   of  fishes. 
Yale  Univ.  Press,  New  Haven,  302  p. 
Leim.  a  H  .  AND  W  B  Scott 

1966.     Fishes  of  the  Atlantic  coast  of  Canada.     Fish.  Res. 
Board  Can.  Bull.  155,  485  p. 
Manooch,  C  S. 

1973.     Food  habits  of  yearling  and  adult  striped  bass,  Mo- 
rone  saxatilis  (Walbaum),  from  Albemarle  Sound,  North 
Carolina.     Chesapeake  Sci.  14(2):73-86. 
Massmann,  W  H 

1960.  Additional  records  for  new  fishes  in  Chesapeake 
Bay.     Copeia  1960:1-70. 

Neave,  F. 

1953.     Principles  affecting  the  size  of  pink  and  chum 

salmon  populations  in  British  Columbia.     J.  Fish.  Res. 

Board  Can.  9:450-491. 
Norcross,  J  J  ,  W  H  Massmann,  and  E.  B.  Joseph 

1961.  Investigations  of  inner  continental  shelf  waters  off 
lower  Chesapeake  Bay.  Part  II.  Sand  lance  larvae, 
Ammodytes  americanus.  Chesapeake  Sci.  2(l-2):49- 
59. 

Trent,  L.,  and  W.  W.  Hassler. 

1966.  Feeding  behavior  of  adult  striped  bass,  Roccus  sax- 
atilis ,  in  relation  to  stages  of  sexual  maturity.  Chesa- 
peake Sci.  7(4):189-192. 

C.  Braxton  Dew 

Lawler,  Matusky,  and  Skelly  Engineers 

One  Blue  Hill  Plaza 

Pearl  River,  NY  10965 

Present  address; 

Northwest  and  Alaska  Fisheries  Center  Kodiak  Laboratory 

National  Marine  Fisheries  Service,  NOAA 

P.O.  Box  1638 

Kodiak,  AK  99615 


ACCUMULATION  OF  AGE  PIGMENTS 

(LIPOFUSCIN)  IN 

TWO  COLD-WATER  FISHES 

In  fisheries  management,  age  structured  models 
are  the  preferred  method  for  meeting  the  key  ob- 
jectives of  estimating  optimal  yields  and  deter- 
mining the  effect  of  fishing  on  stock  structure 
(Gulland  1978).  However,  fev^^  species  of  commer- 
cial marine  fishes  exist  in  which  age  can  be  deter- 
mined with  certainty  (Boehlert  1985).  The  con- 
centration of  age  pigments  (lipofuscin) 
(Ettershank  1984)  in  fish  tissues  (Agius  and 
Agbede  1984)  may  be  a  measure  of  fish  age  that 
could  be  used  to  validate  other  ageing  techniques 
and  might  also  improve  estimates  of  age  of  long- 
lived  species  where  other  techniques  are  difficult 
to  apply. 

Lipofuscin  originates  in  biological  membranes 
through  lipid  peroxidation  (Tappel  1975).  Lipo- 
fuscin accumulation  has  been  documented  for  a 
wide  variety  of  animals,  from  mammals  to  the 
bread-mold  Neurospora  (Ettershank  et  al.  1983 
and  references  therein).  The  rate  of  accumulation 
has  been  shown  to  be  constant  during  the  lifetime 
of  laboratory-raised  mice  (Reichel  1968;  Miquel  et 
al.  1978),  dogs  (Munnell  and  Getty  1968),  fiesh- 
flies  (Ettershank  et  al.  1983);  man  (Strehler  et  al. 
1959);  and  also  wild  populations  of  mice  (Dapson 
et  al.  1980).  On  the  other  hand,  the  rate  of  lipofus- 
cin accumulation  has  been  shown  to  vary  with 
level  of  activity  and  lifespan  (Sohal  and  Donato 
1978).  It  is  expected  that  the  rate  in  which  lipo- 
fuscin accumulates  with  age  in  a  natural  popula- 
tion of  fishes,  or  stock,  with  its  free  genetic  inter- 
change and  likely  common  habitat,  would  be 
fairly  uniform  (but  see  Smith  1987).  In  addition, 
if  measurements  are  made  in  nonmitotic  and 
constantly  metabolizing  tissues  such  as  brain 
or  myocardium,  the  variation  in  concentra- 
tion due  to  environmental  effects  is  least  like- 

ly. 

In  this  paper  we  present  the  results  of  a  prelim- 
inary study  designed  to  assess  the  usefulness 
of  extracted  lipofuscin  as  a  method  of  ageing 
fishes.  Two  species  of  cold-water  fishes  are  in- 
cluded: the  rainbow  trout,  Salmo  gairdneri, 
reared  in  captivity,  and  of  known  age;  and  the 
Dover  sole.  Microstomas  pacificus,  a  long-lived 
fish,  in  which  age  is  not  known  with  certain- 
ty. We  present  spectral  characteristics  of  the  ex- 
tracted lipofuscin  from  several  tissues  and  the 
change  in  concentration  of  lipofuscin  with  fish 
age. 


FISHERY  BULLETIN:  VOL.  86,  NO.  2 


401 


Materials  and  Methods 

Specimens  of  Dover  sole  were  collected  on  De- 
cember 1986  ofTPoint  Conception.  Ages  were  esti- 
mated by  J.  Butler,  E.  Lynn,  and  M.  Drawbridge 
of  the  Southwest  Fisheries  Center  using  otolith 
sections.  Ages  ranged  from  2.7  to  44.7  years  (av- 
erage of  three  readings).  Specimens  of  the  species 
Salmo  gairdneri  were  collected  in  July  1986  at 
Hot  Creek  Hatchery.  Ages  ranged  from  3  months 
to  3  years. 

Samples  were  frozen  after  collection  and  kept 
at  -80°C  until  analysis.  Studies  by  Nicol  (1987) 
showed  that  this  form  of  preservation  yielded  the 
lowest  fluorescence  when  compared  with  ethanol 
and  formalin-preserved  samples.  There  was  no 
indication  that  the  level  of  fluorescence  changed 
as  a  function  of  time  of  preservation  or  by  inter- 
action with  the  extracted  lipofuscin,  as  in  the 
case  for  formalin.  To  excise  the  brain,  the  top  of 
the  skull  was  opened  and  the  four  brain  lobes 
were  removed  as  a  unit,  without  the  optic  nerve. 
To  excise  the  heart,  we  separated  the  muscle 
from  connective  tissue,  blood  vessels,  and  fat  de- 
posits. 

Three  methods  were  compared  for  maximum 
lipofuscin  extraction.  The  first  two  methods  (Tap- 
pel  1975;  MacArthur  and  Sohal  1982)  were  specif- 
ically developed  for  lipofuscin  extraction  and 
employed  chloroformrmethanol  (2:1)  as  the  ex- 
tractive solvent;  they  differ  in  the  optimal 
volume-to-weight  ratio  (30:1  and  20:1,  respec- 
tively), temperature  of  extraction,  and  number  of 
times  the  chloroform  phase  is  washed  with  water. 
The  third  method  was  developed  for  lipid  extrac- 
tion in  fishes  (Bligh  and  Dyer  1959)  and  uses  chlo- 
roform:methanol:water  (1:2:0.8)  as  the  extractive 
solvent.  Subsamples  (n  =  3)  of  cerebellum  of 
Stenella  sp.  collected  at  the  eastern  tropical 
Pacific  and  kept  at  -30°C  were  defrosted,  dried 
with  lint-free  paper,  weighed,  and  extracted  fol- 
lowing the  three  methods  as  described  originally. 

Tissues  from  Dover  sole  were  extracted  basi- 
cally following  the  MacArthur  and  Sohal  (1982) 
technique,  with  two  additional  steps  to  ensure  a 
complete  washing  out  of  flavoproteins  and  pho- 
tooxidation  of  retinol  when  present  (Fletcher  et 
al.  1973).  Tissue  was  freeze  dried  prior  to  analy- 
sis. Ten  mL  of  chloroform: methanol  (2:1,  v/v)  was 
added  to  a  homogenizer  containing  the  sample  for 
a  final  solvent:sample  ratio  of  about  120:1  (vol/ 
dry  weight).  The  sample  was  ground  with  a  teflon 
pestle  attached  to  an  electric  drill  and  later  sub- 
merged in  a  40°C  water  bath  for  1  minute.  A  2  mL 


subsample  was  taken  from  the  homogenate. 
Three  mL  of  deionized  water  was  added,  the  sam- 
ple was  shaken,  and  the  emulsion  centrifuged  10 
minutes  at  1,912  g  and  0°C.  After  centrifugation, 
the  hyperphase  was  decanted  and  a  second  rinse 
performed.  After  decanting  the  hyperphase  a  sec- 
ond time,  1  mL  of  the  hypophase  (chloroform  con- 
taining lipofuscin)  was  sampled  and  transferred 
to  a  polypropylene  tube.  Three  mL  of  chloroform 
were  added  to  the  sample  (for  a  total  of  4  mL) 
which  was  then  exposed  to  UV  irradiation  (254 
nm)  for  1-2  minutes  to  photooxidize  retinol.  This 
last  step  was  routinely  performed  for  liver  tissue. 

Samples  were  then  transferred  to  glass  tubes, 
sealed,  and  kept  in  the  refrigerator  until  analysis. 
Sample  fluorescence  was  measured  at  the  emis- 
sion peak  (430-440  nm)  in  a  quartz  cuvette  with 
a  Perkin  Elmer  Fluorescence  Spectrophotometer^ 
Model  MFP-44A.  The  sample  was  excited  at  the 
peak  of  fluorescence  excitation  (—360  nm).  The 
intensity  of  the  fluorescent  emission  (at  430  nm) 
was  normalized  to  the  intensity  of  the  quinine 
solution  standard  (1  mg  L"^  in  IN  sulphuric  acid) 
and  expressed  in  fluorescence  units. 

Lipofuscin  in  Dover  sole  is  expressed  as  1)  total 
lipofuscin  content  per  organ  and  2)  weight- 
specific  lipofuscin  concentration,  calculated  by  di- 
viding the  total  lipofuscin  content  by  the  dry 
weight  of  the  entire  organ. 

Lipofuscin  ft-om  rainbow  trout  tissues  was  ex- 
tracted following  the  Bligh  and  Dyer  (1959)  tech- 
nique, without  modifications.  Whole  tissues  were 
ground  in  water  with  a  tissue  homogenizer  to  give 
a  final  concentration  of  100  mg  of  tissue  (wet 
weight)  in  0.8  mL  of  homogenate.  A  sample  of  0.8 
mL  was  taken  and  solvents  were  added  to  give  a 
final  ratio  of  1:2:0.8  (chloroform:methanol:water) 
with  a  solvent  to  sample  ratio  of  20:1  (vol/w).  The 
sample  was  then  filtered  through  a  2.4  cm  glass 
fiber  filter  (Whatman  GF/C),  the  tissue  re- 
extracted  with  1  mL  of  chloroform  and  refiltered. 
The  extract  was  then  washed  with  3  mL  of  water, 
shaken,  and  centrifuged  for  10  minutes  at  1,912  g 
and  0°C.  One  mL  of  the  chloroform  hypophase 
was  subsampled  and  fluorescence  estimated  as 
described  above. 

Lipofuscin  in  rainbow  trout  is  expressed  as 

1)  total    lipofuscin    content    per    organ    and 

2)  weight-specific  lipofuscin  concentration  (total 
lipofuscin  content  of  the  organ  divided  by  its  wet 
weight). 


iReference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


402 


Results 

EfiBciency  of  Extraction 

Lipofuscin  was  successfully  extracted  and 
quantified  from  three  different  fish  tissues:  brain, 
heart,  and  liver.  Wavelengths  of  fluorescence  ex- 
citation and  emission  maxima  of  extracted  lipo- 
fuscin in  chloroform  are  presented  in  Figure  1. 
All  maxima  are  within  the  range  cited  by  Shel- 
dahl  and  Tappel  (1973);  fluorescence  excitation 
maxima  were  between  340  and  370  nm  and  fluo- 
rescence emission  maxima  between  420  and  470 
nm. 

Retinol  (wavelengths  of  maximum  fluorescence 
excitation  at  325-340  nm  and  maximum  fluores- 
cence emission  at  475  nm)  was  photooxidized  by 
exposing  the  chloroform  extract  to  UV  irradiation 
(254  nm).  As  expected,  retinol  was  found  in  liver 
and  sometimes  it  was  present  in  brain  and  heart 
tissues.  For  example,  wavelengths  of  fluorescence 
excitation  and  emission  maxima  in  liver  of  Dover 
sole  shifted  from  352  to  365  nm  and  from  470  to 
440  nm,  respectively,  after  UV  irradiation  (see 
Figure  IC).  Mullin  and  Brooks  (1988)  also  found 
that  this  UV  irradiation  is  effective  in  oxidizing 
retinol  although  they  did  not  find  significant 
retinol  interference  in  fish  tissue.  It  seems  liver 
tissues  may  require  UV  irradiation  to  oxidize 
retinol  while  brain  and  heart  tissue  should  be 
checked  for  retinol  presence  before  irradiation. 

The  extractive  efficiency  of  the  three  methods 
tested  are  compared  in  Table  1.  All  methods  ex- 
tracted similar  fluorescent  compounds  from  the 
brain  oi  Stenella  sp.,  as  the  fluorescence  excita- 
tion and  emission  spectra  were  similar.  The 
MacArthur  and  Sohal  (1982)  method  extracted 


Table  1. — Comparison  of  the  three  methods  of  lipofuscin  extrac- 
tion in  brain  tissue  Fluorescence  excitation  at  360  nm  and  fluores- 
cence emission  at  440  nm.  Results  are  presented  as  fluorescence 
units  per  mg  of  wet  tissue,  where  the  fluorescence  emission  signal 
is  normalized  to  the  intensity  of  emission  of  a  standard  quinine 
sulfate  solution  (1  mg  L  Hn  IN  sulphuric  acid).  The  three  methods 
were  significantly  different  from  each  other,  P  <  0.05,  Newman- 
Keuls  range  test  (Zar  1974).  ANOVA:  F  ratio  =  21.81,  2  df, 
P  <  0.05. 


Fluorescence 
units 

Fluorescence 
maxima 

Average 
10-3 

SD 
10-3 

n 

Excitation 
(nm) 

Emission 
(nm) 

f^acArthur  and 
Sohal  (1982) 

Tappel  (1975) 

Bligh  and  Dyer 
(1959) 

4.30 
2.83 

1.98 

0.39 
0.37 

0.45 

3 
3 

3 

362 
362 

360 

445 
440 

445 

_L 


_L 


_L 


3E0   360   400   440   480   520 


>- 

(/) 

Z 
LiJ 


UJ 
U 

z: 

UJ 

o 

UJ 

(r 
o 

Z) 


B 

365 

1 

435 

1         1         1 

A 

1 

AZ) 

1 

1 

320       360       400      440       480       520 


C 

365 

430 

450 

1 

u 

^l 

r 

t(l)  // 

\(3)    N 

/ 

\  r 

\        \ 

\           N 

/ 

W/ 

\            \ 
\              S 

/ 

A 

\                    X 

X                    X 

\^                         X 

1    1 

it 

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1                1                 1 

320      360      400       440       480       520 

WAVELENGTH  (nm) 

Figure  1. — Spectral  characteristics  of  lipofuscin  extracted  from 
Dover  sole,  Microstomus  pacificus,  tissues  (uncorrected  spec- 
tra). In  chloroform.  (A)  Brain:  (1)  Lipofuscin  fluorescence  exci- 
tation spectrum  (emission  wavelength  440  nm);  (2)  lipofuscin 
fluorescence  emission  spectrum  (excitation  wavelength  365 
nm).  (B)  Heart:  (1)  Lipofuscin  excitation  spectrum  (emission 
wavelength  430  nm);  (2)  lipofuscin  fluorescence  emission  spec- 
trum (excitation  wavelength  365  nm ).  (C )  Liver:  ( 1 )  Lipofuscin 
fluorescence  excitation  spectrum  (emission  wavelength  430 
rmi);  (2)  lipofuscin  emission  spectrum  (excitation  wavelength 
365  nm)  before  UV  radiation;  (3)  Same  as  (2)  after  UV  radiation 
(254  nm). 

significantly  more  fluorescent  pigment,  than  did 
either  the  Tappel  (1975)  or  the  Bligh  and  Dyer 
(1959)  method  which  extracted  66%  and  46%  of 
maximum  extraction,  respectively).  Thus  all 
three  methods  are  useful  for  quantitative  estima- 
tion of  extractable  lipofuscin  in  fish  tissue  but 


403 


comparisons  of  amount  of  concentrations  between 
tissues  or  species  cannot  be  made  if  different  ex- 
traction methods  are  used. 

Lipofuscin  Concentration 

The  total  concentration  of  extracted  lipofus- 
cin in  Dover  sole  brain  tissue  was  positively 
correlated  with  fish  length  (Fig.  2A) 
{Y  =  -15.4  +  0.516X,r2  =  0.43;6  ^0,P<0.01, 
t  -  5.1,  df=34).  Furthermore,  total  extracted 
lipofuscin  content  in  the  brain  was  positively  cor- 
related with  age  in  organisms  estimated  by  annu- 


5     300 


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lar  increments  in  otoliths  to  be  from  2  to  15  years 
old  (Fig.  3A)  (Y  =  -2.5  +  1.0  X,  r'^  =  0.75;  6^0, 
P  <  0.01,  t  -  5.5,  df  =  10).  On  the  other  hand,  in 
older  Dover  sole  (estimated  age  from  20  to  45 
years;  n  =  26)  the  total  extracted  lipofuscin  in  the 
brain  did  not  increase  with  their  estimated  age. 
The  concentration  of  lipofuscin  in  the  brain  (ex- 
tracted lipofuscin  concentration  per  unit  of  g  dry 
weight)  followed  a  similar  pattern  (Fig.  3B).  The 
concentration  in  the  brain  increased  linearly  with 
age  for  fish  2-15  years  old  (7  =  30.39  +  14.85  X, 
r2  =  0.79,  b  i=0,  P  <  0.01,  t  =  6.66,  df  =  10)  but 
fishes  older  than  15  years  did  not  show  an  in- 
crease in  pigment  concentration  with  age. 

The  total  extracted  lipofuscin  content  extracted 
ft-om  rainbow  trout  brains  increased  with  age 
(Fig.  4A)  (Y  =  0.14  +  0.18  X,  r^  =  0.37;  6^0, 
P  <  0.01,  t  =  3.75,  df  =  23),  as  did  the  content  of 
the  heart  (Fig.  4C)  (Y  =  -0.54  +  0.82  X, 
r2  =  0.67;  6  ^  0,  P  <  0.01,  t  =  7.36,  df  =  23),  and 
liver  (Fig.  4E)  (Y  =  -2.86  +  5.81  X,  r^  -  0.62; 
b  i=0,P  <  0.01,  t  =  7.54,  df  =  34)  from  3  months 
to  3  years.  The  concentration  of  extracted  lipo- 
fuscin per  unit  wet  weight  of  heart  tissue  did 
not  change  with  age  (Fig.  4D)  whereas  that  of 
brain  and  liver  tissue  decreased  with  age  (Fig. 
4B,  F). 


< 

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CD 

CC 
UJ 
CL 

UJ 
O 

111 
o 

(O 

UJ 

cc 
o 

Z) 


10 


200  400 

LENGTH  (mm) 


600 


oo  o 


Figure  2. — Dover  sole,  Microstomas  paciftcus,  brain: 
(A)  Extracted  lijwfuscin  per  unit  of  dry  weight  as  a  function  of 
fish  length  (mm)  (n  =  36);  (B)  brain  dry  weight  (g)  as  a  func- 
tion of  fish  length  (mm).  Fluorescence  units:  the  intensity  of 
fluorescence  normalized  to  a  standard  solution  of  quinine  sul- 
fate (1  mg  L-i  in  IN  sulphuric  acid). 


Figure  3. — Lipofuscin  in  Dover  sole.  Microstomas 
pacificas,  brain  tissue  as  a  function  of  age  in  =  36). 
(A)  Total  lipofuscin  content  per  brain;  (B)  weight- 
specific  (g  dry  weight)  lipofuscin  in  brain. 


I 
a 

UJ 

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Q 


to 

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UJ 

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300 


200 


100 


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Yn.,<s  =  30  4  +I4  85X 


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10  20  30 

AGE  (years) 


40 


404 


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UJ 

on 
o 

3 


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( 

1 

:      J 

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1         1 

AGE  (yeors) 

Figure  4. — Lipofuscin  in  rainbow  trout,  Salmo  gairdneri,  as  a  function  of  age  (n  =  21).  (A)  Total  lijxjfuscm  in 
brain;  (B)  weight-specific  (mg  wet  weight)  lipofuscin  in  brain;  (C)  total  lipofuscin  in  heart;  (D)  weight-specific 
(mg  wet  weight)  lipofuscin  in  heart;  (E)  total  lipofuscin  in  liver;  (F)  weight-specific  (mg  wet  weight)  lipofuscin  in 
liver. 


Discussion 

Our  results  indicate  that  lipofuscin  accumu- 
lated in  the  brain  of  Dover  sole  with  time  (Fig. 
2A).  The  concentration  of  lipofuscin  increased 
over  a  wide  range  of  fish  lengths  and  with  esti- 
mated age  of  15  years  but  did  not  increase  with 
older  fish.  Several  explanations  exist  for  the  lack 
of  change  in  concentration  in  older  fish:  1)  older 
fish  were  incorrectly  aged;  2)  growth  of  brain 
tissue  masked  the  actual  rate  of  accumulation; 
and  3)  the  rate  of  accumulation  changed  during 
the  lifespan  of  this  species  due  to  changes  in 
metabolic  activity.  Either  one  or  several  of  these 


factors  may  cause  the  lack  of  lipofuscin  accumula- 
tion in  older  fish.  We  consider  each  of  these  issues 
below. 

We  do  not  know  the  accuracy  of  the  age  deter- 
mination in  Dover  sole  but  believe  it  is  unlikely 
that  3  readers  would  confuse  fish  aged  30-40 
years  with  those  of  20  years.  Although  future  re- 
search will  shed  more  light  on  this  controversial 
subject,  we  think  that  grossly  inaccurate  age  de- 
termination is  the  least  likely  an  explanation. 

A  key  difference  between  fishes  and  other  or- 
ganisms in  which  lipofuscin  accumulation  has 
been  clearly  documented  as  a  function  of  chrono- 
logical age  (mammals  and  invertebrates)  is  that 


405 


fishes  have  indeterminate  growth.  For  example, 
Figure  3B  indicates  that  the  brain  of  Dover  sole 
continues  to  grow  long  after  this  fish  begins  re- 
production (450  mm).  Thus,  unlike  mammals  and 
invertebrates  which  have  determinate  growth, 
the  total  content  of  extractable  lipofuscin  in  any 
fish  organ  cannot  be  used  as  a  measure  of  age  but 
rather  concentration  (content  per  unit  of  weight) 
must  be  used.  Furthermore,  even  the  concentra- 
tion of  lipofuscin  in  the  brain,  a  slow  growing 
tissue,  is  a  function  of  both  the  rate  of  lipofuscin 
accumulation  and  the  rate  of  tissue  growth.  It 
follows  then,  that  if  the  rate  of  brain  growth  is 
such  that  it  masks  the  actual  rate  of  lipofuscin 
accumulation  in  older  organisms,  lipofuscin  con- 
centration will  not  increase  with  time. 

A  critical  assumption  underlying  the  use  of 
lipofuscin  as  a  determinant  of  age  is  that 
metabolic  rate,  and  hence  lipofuscin  accumula- 
tion rate,  remains  fairly  constant  over  the  portion 
of  the  life  history  of  interest.  The  rainbow  trout 
were  reared  in  a  hatchery  where  no  net  change  in 
the  environment  occurred  from  1983  to  1985. 
Dover  sole,  on  the  other  hand,  gradually  migrate 
into  deeper,  colder,  and  less  oxygenated  waters  as 
they  age.  Presumably  the  metabolism  of  fish 
under  these  conditions  would  be  lower  as  might 
be  the  rate  of  lipofuscin  accumulation  in  the 
brain. 

The  literature  on  fishes  provide  no  conclusive 
evidence  that  lipofuscin  is  an  accurate  index  of 
age  over  the  entire  lifespan.  Hill  and  Radtke  (in 
press)  reported  that  the  extracted  lipofuscin  per 
unit  dry  weight  in  the  brain  of  the  tropical  fish 
Dascillus  albisella  accumulates  exponentially 
with  age.  The  relationship  is  driven  by  a  single 
point  for  an  11-year-old  individual  and  it  would 
probably  be  linear  without  that  single  point,  if 
only  fish  1-7  years  old  were  considered.  In 
hatchery-reared  Cyprinus  carpio  the  total  ex- 
tracted lipofuscin  per  unit  of  dry  weight  in  the 
brain  of  fish  of  the  same  age  (6  years)  increased 
with  weight  over  8-fold  range  in  weight  (Griven 
et  al.^).  About  45%  of  the  lipofuscin  content  could 
be  explained  by  difference  in  weight  among  fish. 
Thus,  in  fish  of  the  same  age  there  was  a  strong 
size  effect  on  lipofuscin  concentration.  These  re- 
sults are  very  similar  to  those  found  in  this  study. 
Aloj  Totaro  et  al.  (1985)  found  that  lipofuscin  in- 
creased over  a  range  of  0-2  years.  But  the  method 


2Girven,  R.  J,,  R.  W.  Gauldie,  Z.  Czochanska,  A.  D.  Wool- 
house.  Manuscr.  in  prep.  A  critical  tests  of  the  lipwfuscin 
technique  of  age  estimation  in  fish. 


was  different  as  they  measured  lipofuscin  gran- 
ules present  in  the  electric  lobe  of  Torpedo  mar- 
morata  brains  rather  than  using  extractable  lipo- 
fuscin of  the  entire  brain.  Thus,  all  studies  to  date 
seem  to  indicate  that  accumulation  occurs  in  the 
brains  of  fishes,  but  results  are  not  conclusive 
owing  to  small  sample  sizes,  limited  age  ranges, 
and  failure  to  identify  the  effects  of  brain  growth 
on  rates  of  accumulation. 

Additional  research  is  required  to  evaluate 
lipofuscin  as  a  method  of  age  determination  in 
fishes.  The  effect  of  brain  growth  on  lipofuscin 
accumulation  rates  must  be  considered  in  such 
studies.  A  promising  approach  in  this  regard  may 
be  to  estimate  lipofuscin  on  a  per  cell  basis  in- 
stead of  on  a  weight  basis.  This  could  be  accom- 
plished by  either  expressing  extracted  lipofuscin 
relative  to  DNA  concentration  or  by  histological 
techniques. 

Acknowledgments 

This  work  was  funded  by  Sea  Grant  contract 
RyNP-l-15C  and  by  NOAA  contract  43ABNF6 
1987.  The  authors  would  like  to  thank  A.  Dizon, 
M.  M.  Mullin,  E.  Brooks,  and  J.  Butler  for  helpful 
discussions;  J.  Butler,  E.  Lynn,  and  M.  Draw- 
bridge for  age  determination  by  otoliths  of  Dover 
sole  specimens;  and  M.  Rowan  of  California  Fish 
and  Game  for  providing  the  rainbow  trout  sam- 
ples. 


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Agius,  C  and  S.  a.  Agbede. 

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BuGH,  E  G .  AND  W  J  Dyer. 

1959.     A  rapid  method  of  total  lipid  extraction  and  purifi- 
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1984.     A  new  approach  to  the  assessment  of  longevity  in 
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Ettershank,  G  ,  I  MacDonnell,  and  R  Croft. 

1983.     The  accumulation  of  the  age  pigment  by  the  fleshfiy 


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1973.     Measurement    of    fluorescent    lipid    peroxidation 
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1978.     Analysis  of  data  and  development  of  models.    In 
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MacArthur, M.  C,  and R. S  Sohal. 

1982.     Relationship  between  metabolic  rate,  aging,  lipid 
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1968.     Rate  of  accumulation  of  cardiac  lipofuscin  in  the 
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1987.     Some  limitations  on  the  use  of  the  lipofuscin  ageing 
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Smith.  P  J 

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1978.     Effects  of  experimentally  altered  life  spans  on  the 
accumulation  of  fluorescent  age  pigment  in  the  housefly, 
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1959.     Rate  and  magnitude  of  age  pigment  accumulation 
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439. 
Tappel,  A  L. 

1975.     Lipid  peroxidation  and  fluorescent  molecular  dam- 
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Maria  Vernet 


John  R.  Hunter 
Southwest  Fisheries  Center  La  Jolla  Laboratory 
National  Marine  Fisheries  Service,  NOAA 
P.O.  Box  271 
La  Jolla,  CA  92037 


Russell  D.  Vetter 


Marine  Biology  Research  Division 
Scripps  Institution  of  Oceanography 
University  of  California  San  Diego 
La  Jolla,  CA  92093-0202 


Institute  of  Marine  Resources 
Scripps  Institution  of  Oceanography 
University  of  California  San  Diego 
La  Jolla,  CA  92093-0202 


EXTRACTABLE  LIPOFUSCIN  IN  LARVAL 
MARINE  FISH 

The  "age  pigment",  lipofuscin,  is  thought  to  be  a 
biochemically  heterogeneous  byproduct  of  the 
peroxidation  of  polyunsaturated  lipids  which  ac- 
cumulates in  dense,  intracellular  inclusions 
called  ceroid  bodies.  The  material  has  been  stud- 
ied both  microscopically  and  biochemically  in  tis- 
sues of  several  species  (Miquel  et  al.  1977;  Shi- 
masaki  et  al.  1980;  Dowson  1982),  and  some 
portion  of  it  is  quantitatively  extractable  with 
organic  solvents  (Fletcher  et  al.  1973). 

Flies  prevented  from  flying  by  putting  baffles 
in  the  bottles  in  which  they  were  raised,  accumu- 
lated lipofuscin  (as  assessed  by  solvent  extrac- 
tion) more  slowly  than  did  free-flying  flies  but 
had  a  longer  lifespan,  so  that  at  the  ends  of  the 
respective  lifespans  the  body  contents  of  lipofus- 
cin were  similar  in  the  two  groups  (Sohal  and 
Donato  1978).  Extractable  lipofuscin  thus  ap- 
pears to  accumulate  as  a  function  of  cumulative 
oxidative  metabolism;  it  could  be  an  indicator  of 
physiological  (rather  than  strictly  chronological) 
age. 

Additionally,  if  lipofuscin  represents  an  inte- 
gral of  oxidative  metabolism  since  birth  and 
weight  represents  an  integral  of  growth  over  the 
same  period,  the  ratio  of  lipofuscin  to  organic 
weight  should  be  proportional  to  the  reciprocal  of 
cumulative  net  growth  efficiency  [K2  =  growth/ 
assimilation  =  growth/(  growth  +  respiration), 
hence  I/K2  =  1  +  respiration/growth]. 

Ettershank  (1984a)  introduced  the  fluoromet- 
ric  measurement  of  extractable  lipofuscin  as  a 
measure  of  physiological  age  in  growing  marine 
crustaceans,  based  on  the  work  with  insects,  and 
(1984b)  recommended  a  simple  method  for  rou- 
tine use  in  marine  work.  He  also  argued  (without 
presenting  extensive  evidence)  that  preservation 


FISHERY  BULLETIN:  VOL.  86,  NO.  2,  1988. 


407 


of  tissue  in  formalin-seawater  did  not  invalidate 
the  analysis;  thus,  historical  samples  of  zooplank- 
ton  (and,  presumably,  larval  fish)  appeared  to  be 
usable  for  study  of  intraspecific  geographic  or  in- 
terannual  variability. 

Although  most  studies  of  lipofuscin  (especially 
by  histology)  have  concerned  postmitotic  cells, 
such  as  nervous  tissue,  we  evaluated  the  assay  as 
an  estimate  of  the  relative  efficiency  of  growth  of 
larvae  analyzed  whole.  That  is,  we  were  less  in- 
terested in  lipofuscin  as  an  indicator  of  age  (for 
which,  as  we  show,  other  measures  of  mass  are 
useful)  than  as  an  indicator  of  health  whose  rela- 
tion to  mass  would  reflect  environmental  condi- 
tions over  time.  We  therefore  investigated  the  im- 
portance of  interfering  fluorescing  pigments 
(Csallany  and  Ayaz  1976),  tested  the  effect  of 
preservation  in  formalin  (Nicol  1987),  and  mea- 
sured the  accumulation  of  extractable  lipofuscin 
in  three  species  of  larval  fish  reared  in  the  labora- 
tory— California  grunion,  Leuresthes  tenuis; 
white  seabass,  Atractoscion  nobilis;  and  Califor- 
nia halibut,  Paralichthys  californicus  (hereafter 
referred  as  grunion,  seabass,  and  halibut  respec- 
tively). 

Analytical  Considerations 

We  analyzed  lipofuscin  by  a  method  first  de- 
scribed by  Fletcher  et  al.  (1973),  as  modified  by 
Ettershank  (1984b).  The  tissue  to  be  analyzed 
(usually  whole  larvae)  was  frozen  (-15°  or 
-70°C)  and  later  freeze-dried,  and  a  1-5  mg  sam- 
ple was  homogenized  in  at  least  2  mL  of  2:1 
chloroform: methanol  in  a  Wheaton  glass  tissue 
homogenizer.  After  extracting  for  3-4  hours  at 
4°C,  100  mM  MgCl2  (25%  of  the  solvent  volume) 
was  added,  and  the  solutions  were  thoroughly 
mixed  and  then  centrifuged  for  20  minutes  at 
3000  rpm  at  -4°C.  The  lower,  chloroform  layer 
was  withdrawn  for  fluorometric  analysis  after 
reaching  20°C  in  a  water  bath,  and  the  fluores- 
cence was  measured  on  a  Turner  111^  fluorometer 
using  a  CS  7-60  filter  (approximately  360  nm)  for 
excitation  and  a  CS  47B  filter  (approximately  430 
nm)  for  emission.  A  known  concentration  of 
quinine  sulfate  was  the  standard,  and  results  are 
therefore  reported  as  "fluorescence  units"  or  FU/ 
mg. 

A  stock  solution  of  quinine  sulfate  (2  mg/L  in  1 
N  H2SO4)  was  stored  in  a  light-tight  reagent  bot- 


tle. To  compare  analyses  done  at  different  times, 
sets  of  standards  were  prepared  from  this  stock  in 
distilled  water  (0.02,  0.04,  0.06,  0.08,  and  0.10 
|jLg/mL).  Some  of  the  sets  prepared  over  a  year's 
time  are  shown  in  Figure  1;  the  overall  reproduci- 
bility is  good. 

60 1- 


UJ 

o 


45 


UJ 

o 

CO 

UJ    30 

tr 
o 

Z) 


15 


0 


iReference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NCAA 


0  .03  .06  .09  .12 

QUININE  SULPHATE    (/ig-mr') 

Figure  1. — Reproducibility  of  different  sets  of  quinine  sulfate 
standards  prepared  from  a  stock  solution  over  a  year. 


Precision  of  the  method,  including  extraction 
from  tissue,  was  estimated  by  comparing  repli- 
cate samples  of  liver  and  white  muscle  from  adult 
halibut.  The  coefficients  of  variation  for  5  deter- 
minations on  each  of  3  sets  of  tissue  were  for  mus- 
cle, 0.2,  0.35,  and  0.57,  and  for  liver,  0.1,  0.15,  and 
0.18.  The  difference  in  variability  between  the 
two  kinds  of  tissues  is  probably  due  to  the  greater 
difficulty  in  homogenizing  muscle  tissue. 

Quinine  sulfate  standards  were  compared  on  a 
Farrand  Spectrofluorometer,  with  excitation  at 
350  nm  and  emission  at  420  nm,  and  on  the 
Turner  111  fluorometer.  The  correlation  coeffi- 
cient for  measurements  on  the  two  instruments 
was  0.97.  We  therefore  used  the  Turner  111  rou- 
tinely, so  that  analyses  could  be  done  easily  in  a 
hood. 

Csallany  and  Ayaz  (1976)  described  interfer- 
ence by  retinol  in  the  analysis  of  organic-solvent- 
soluble  lipofuscin  in  mammalian  tissues,  and  rec- 
ommended a  chromatographic  step  to  remove  this 
contaminant.  We  extracted  a  variety  of  fish  tis- 
sues in  2:1  chloroform: methanol,  and  after  addi- 
tion of  MgCl2  and  centrifugation,  dried  the  chlo- 


408 


roform  layer  gently  (35°C)  in  an  open  vial 
overnight  in  a  hood  on  a  sand  bath.  The  dried 
extract  was  reconstituted  with  1:9  chloro- 
form: methanol  and  chromatographed  on  a  30  cm 
Sephadex  LH20  column  at  a  flow  rate  of  3-4  mL/ 
hour.  A  fraction  was  collected  by  hand  every  20 
minutes,  its  volume  measured,  and  its  fluores- 
cence determined  on  the  Turner  111  at  the  same 
wavelengths  used  for  routine  analysis  of  lipofus- 
cin.  To  determine  where  a  retinol  peak  would  ap- 
pear, we  chromatographed  a  tissue  extract  to 
which  a  commercial  preparation  (Sigma)  of 
retinol  had  been  added.  Also,  extracts  of  larval 
fish  in  the  pre-eyed  stage  were  compared  with 
extracts  of  larvae  that  had  pigmented  eyes,  as- 


suming that  the  eyed  larvae  would  have  more 
retinol. 

A  UV  irradiation  step  had  been  proposed  to 
degrade  retinol  where  it  may  interfere  with  mea- 
surement of  extracted  lipofuscin,  but  Csallany 
and  Ayaz  (1976)  reported  that  this  procedure  was 
ineffective.  We  therefore  determined  the  time 
course  of  degradation  of  commercial  retinol  in  1:9 
chloroform: methanol  by  UV  irradiation  in  quartz 
tubes. 

At  the  wavelengths  we  used,  retinol  was  not  an 
important  interfering  substance  in  a  variety  of 
larval  fish  and  in  the  adult  grunion  muscle  and 
adult  halibut  liver  tissues  (Fig.  2).  There  also  was 
little  difference  between  extracts  of  eyed  and  pre- 


FlGURE  2. — Chromatograms  (fluorescence  vs.  fraction  number) 
for  various  fish,  compared  with  fish  tissue  plus  retinol. 


'50- HALIBUT  LIVER 


100 


LARVAL   GRUNION  (whole) 


LARVAL  SEABASS    (whole) 


20  5 

FRACTION  (ml) 


409 


eyed  larvae.  We  therefore  did  not  use  UV  irradia- 
tion routinely.  If  UV  irradiation  is  used  to  de- 
grade retinol,  the  exposure  must  be  kept  short  (1 
or  2  minutes),  or  else  another  compound  fluoresc- 
ing at  these  wavelengths  appears  (Fig.  3),  giving 
the  spurious  impression  that  UV  did  not  affect 
retinol;  this  may  explain  the  negative  results  of 
Csallany  and  Ayaz  (1976). 

To  evaluate  the  effect  of  preservation  in  forma- 
lin, we  froze  subsamples  from  stocks  of  larvae, 
and  preserved  other  subsamples  in  10%  formalin 
in  a  glass  container,  using  formalin  from  a  glass 
reagent  bottle.  We  analyzed  frozen  and  preserved 


80,- 


4  6 

MINUTES 


Figure  3. — Time  course  of  fluorescence  resulting  from  UV 
irradiation  of  duplicate  batches  (two  symbols)  of  retinol. 


larvae  after  3  months,  and  after  an  additional 
year  we  analyzed  more  preserved  larvae. 

Nicol  (1987)  recently  demonstrated  that  forma- 
lin preservation  significantly  increases  the  fluo- 
rescence of  lipofuscin  extracted  in  chloroform- 
methanol,  and  our  results  show  similar  analytical 
problems  (Table  1).  There  was  significant  en- 
hancement in  fluorescence  in  the  larvae  pre- 
served for  over  a  year,  when  compared  with  those 
preserved  for  3  months.  Quinine  sulfate  stan- 
dards run  at  the  same  time  as  the  samples  for 
different  periods  were  very  similar  (Fig.  4),  indi- 
cating real  changes  with  time  of  preservation. 
Thus,  this  method  will  not  permit  using  historical 
collections  of  formalin-preserved  animals  to  de- 
termine their  relative  physiological  states  until 
more  is  known  about  the  time  course  and  nature 
of  the  effect  of  formalin  on  the  extract  of  pre- 
served tissue. 

Larval  Growth  Experiments 

Seabass  larvae  were  obtained  from  Hubbs  Re- 
search Institute  and  halibut  larvae  from  the  Los 
Angeles  County  Natural  History  Museum;  larval 
grunion  were  obtained  by  stripping  adults  and 
bringing  fertilized  eggs  into  the  laboratory  for 
hatching  in  an  aerated,  10  L  container  of  sea- 
water  at  room  temperature. 

Larval  grunion  were  reared  in  40  L  Nalgene 
tubs  with  spigots  at  the  bottom  (which  facilitated 
emptying  and  cleaning),  initially  stocked  with 
100—120  newly  hatched  grunion  per  tub,  with 
replicated  "high"  and  "low"  food  concentrations. 
Larvae  were  fed  newly  hatched  Artemia  nauplii 
and  the  rotifer,  Brachionus ,  which  was  cultured 
on    Dunaliella    tertiolecta    in    100    L,    lighted 


Table  1 . — Lipofuscin  (as  fluorescence  units,  FU)  per  animal  and  per  unit  dry  weight  (DW)  of  frozen  vs.  formalin- 
preserved  larval  fish.     N  =  number  of  larvae  per  analysis. 


Frozen  (3  months) 

Preserved  (3  months) 

Preserved  (1  year) 

FU  (larva) -1 

FU 

(mg  DW)-i 

FU  (larva) -1 

FU  (mg  DW)-1 

FU  (lar^a)i 

FU 

(mg  DW)-' 

Grunion 

16.0 

47.4 

24.3 

60.1 

44.3 

98.1 

A/  =  15 

16.7 

47.3 

31.0 

76.7 

45.0 

93.1 

17.3 

47.7 

23.6 

60.4 

48.0 

100.1 

17.0 

49.7 

24.0 
26.0 

63.0 
65.3 

54.3 
51.0 

112.7 
106.2 

X  = 

16.8 

48.0 

25.7 

65.3 

48.5 

102.0 

Seabass 

0.68 

18.6 

0.82 

13.6 

1.72 

22.3 

A/ =  30 

0.47 

13.0 

0.71 

12.0 

2.05 

26.3 

0.50 

14.5 

0.46 

8.0 

2.03 

27.2 

0.43 

12.7 

0.52 

8.7 

1.63 

22.2 

0.33 

9.4 

0.60 

10.5 

2.05 

28.9 

X  = 

0.48 

13.6 

0.62 

10.6 

1.89 

25.4 

410 


80 


60 


UJ 

o 

UJ 

o 

CO 
UJ 

en 
o 

3 


40 


20 


OL 


1 


0        .02       .04        .06        .08        .10 
QUININE  SULPHATE  {/xg  -mr') 

Figure  4. — Fluorescence  of  various  concentrations  of 
quinine  sulfate  standards  read  at  10 x  gain  (lower  pair 
of  lines)  and  30x  gain  (upper  pair)  in  1985  (lower  line  of 
each  pair)  and  1986  (upper  of  each  pair). 


polyethylene  tubs  augmented  with  f/2  phyto- 
plankton  nutrients  (May  1971;  Theilacker  and 
McMaster  1971).  One  spring  and  one  summer  ex- 
periment were  completed  at  ambient  tempera- 
tures (spring  =  17.5°-19°C,  summer  =  21°-23°C), 
with  one  of  the  "high  food"  containers  in  the  sec- 
ond experiment  kept  at  26°C  with  an  aquarium 
immersion  heater. 

We  were  unable  to  maintain  absolute  high  and 
low  food  concentrations  because  of  oscillations  in 
the  supply  of  food  organisms.  Thus,  the  high  con- 
centration was  kept  at  3  times  the  low  concentra- 
tion, although  absolute  amounts  varied.  The 
mean  initial  food  concentrations  in  the  spring  ex- 
periment were  50  jxg  C/L  (=  "low")  and  154  (xg 
C/L  (=  "high");  in  summer,  122  and  394  ^JLg  C/L, 
respectively.  Tubs  were  censused  every  2  days 
through  each  experiment  to  determine  how  much 
food  was  uneaten  and  how  many  larval  fish  had 
died  (estimated  by  counting  and  removing 
corpses),  and  to  add  fresh  food.  In  the  low  food 
containers,  it  was  not  unusual  to  find  little  un- 
eaten food,  particularly  as  the  larvae  grew.  Once 
a  week  the  tubs  were  emptied  and  the  remaining 
larvae  counted  directly.  It  was  clear  from  this 
direct  census  that  all  dead  larvae  were  not  ac- 


counted for  by  searching  for  corpses  every  2  days 
because  of  cannibalism,  necrophagy,  or  decay. 
Every  4  days  a  known  number  of  larvae  was  re- 
moved; their  lengths  were  measured  and  they 
were  frozen  for  future  analyses. 

We  could  not  estimate  larval  ingestion  pre- 
cisely because  of  the  uncertainty  in  how  many 
fish  were  alive  through  a  2-d  interval.  This  prob- 
lem was  exacerbated  as  the  larvae  within  each 
tub  diverged  in  size,  so  that  variance  in  individ- 
ual ingestion  increased.  Although  3  times  more 
food  was  offered  in  the  high  food  containers,  these 
larvae  actually  ingested  about  twice  the  amount 
of  food  as  did  those  in  the  low  food  containers 
(Table  2).  This  difference  was  due  to  better  sur- 
vival in  the  high  food  containers,  which  affected 
the  ratio  between  available  ration  and  number  of 
larvae.  To  compensate  for  this,  we  routinely  har- 
vested more  animals  from  the  high  food  contain- 
ers than  from  the  low  food  containers. 

Freeze-dried  animals  or  tissues  were  weighed 
on  a  Cahn  electrobalance.  Protein  was  deter- 
mined by  a  method  of  Dorsey  et  al.  (1977)  on  an 
aliquot  of  tissue  homogenized  in  cold  1  M  NaCl. 
DNA  was  measured  by  an  ethidium  bromide  tech- 
nique (Bentle  et  al.  1981,  as  modified  by  M.  S. 
Lowrey).  Basic  measures  of  size — dry  weight, 
protein,  and  DNA — were  strongly  and  linearly 
correlated  (Fig.  5),  so  that  comparing  lipofuscin 
with  any  of  these  measures  would  give  similar 
patterns. 

Lipofuscin  accumulated  as  the  larval  fish  grew 
(Fig.  6),  but  at  quite  different  rates  for  the  3  spe- 
cies, grunion  accumulating  most  rapidly  (relative 
to  gain  in  weight)  and  seabass  much  the  slowest. 


Table  2. — Estimated  average  ingestion,  size,  composition,  and 
growth  efficiency  for  20-day-old,  laboratory-reared  larval  California 
grunion.  Compare  with  Figure  5. 


Sphng 

Summer 

experiment 

experiment 

Low 

High 

Low 

High 

food 

food 

food 

food 

M-g  C  ingested' 

per  individual 

701 

1,723 

1,379 

2,792 

p.g  dry  weight  per 

individual 

755 

1,305 

901 

1,895 

^.g  DNA  per  mg 

protein 

84.8 

59.4 

48.1 

31.3 

\xg  C2  per 

individual 

245 

603 

482 

977 

Growth  from 

hatching  (|j.g  C) 

104 

462 

341 

836 

Gross  growth 

efficiency 

15% 

27% 

25% 

30% 

'Calculated  from  measured  carbon  In  Brachionus  and  Anemia. 
^Estimated  from  literature  values. 


411 


o 
> 


cr> 


Ld 


2- 


o 

cr 

CL 

0 

100 

1 

80 

o 

> 

k. 

n 

60 

CP 

:L 

40 

<L 

Z 

n 

ZO 

LARVAL 

GRUNION 

• 

- 

.   /Y=0.43X-0.06 

1               1               1 

LARVAL  SEABASS 


0 


4  6  8  10        0  2  4 

DRY  WEIGHT  (mg- larva"') 


Figure  5. — Relations  of  protein  (upper)  and  DNA  (lower)  to  dry  weight  for  laboratory-reared  larval  grunion  (left) 

and  white  seabass  (right). 


This  may  reflect  differences  in  the  Hfespans  and 
metabolic  rates;  grunion  are  small  fish,  reaching 
maturity  in  a  year  and  living  less  than  5  years 
(Frey  1971),  while  seabass  and  halibut  grow  to 
very  much  larger  size  and  can  live  more  than  20 
years  (Frey  1971;  Thomas  1968). 

Figure  7  shows  the  variability  in  the  amount  of 
lipofuscin  in  larvae  of  the  same  age.  At  time  "0", 
all  fish  were  newly  hatched.  The  variance  was 
low  in  the  first  few  days,  but  increased  dramati- 
cally with  time  because  larvae  within  each  tub 
grew  (and,  presumably,  respired)  at  very  different 
rates.  There  were  differences  in  averages  between 
high  food  and  low  food  conditions,  and  between 
experiments  (Table  2),  but  the  variance  in  dry 
weight,  protein,  DNA,  or  lipofuscin  was  so  large 
that  the  overlap  obscured  any  differences  be- 
tween conditions  of  rearing. 

Grunion  and  halibut  larvae  start  life  with 
greater  concentrations  of  lipofuscin  than  do  sea- 


bass, and  though  the  concentration  decreases 
rapidly  as  grunion  and  halibut  age  (Fig.  8),  they 
still  have  almost  a  10-fold  greater  concentration 
than  do  larval  seabass  when  all  are  20  days  old. 
All  three  species  increased  in  weight  faster  than 
they  increased  in  lipofuscin,  so  the  concentration 
of  lipofuscin  was  "diluted"  by  growth.  Because 
protein  was  a  constant  fraction  of  dry  weight 
(Fig.  5,  upper),  this  dilution  was  not  due  to  skele- 
tal growth  alone.  If  the  rate  of  weight-specific 
growth  exceeds  the  rate  of  weight-specific  respi- 
ration during  early  life,  the  concentration  of  lipo- 
fuscin should  decrease,  as  observed,  and  only 
when  growth  ceases  or  slows  considerably  should 
lipofuscin  accumulate  relative  to  weight.  Alter- 
natively, lipofuscin  could  change  chemically  with 
time,  becoming  more  difficult  to  extract  (Vernet 
et  al.  1988),  so  that  the  rate  of  accumulation  of 
lipofuscin  would  be  underestimated. 
We  attempted  to  stop  growth  by  starving  the 


412 


200 


160 


r^     120  - 


GRUNION 


10 


8 


4  - 


0 


HALIBUT 


Y=I4.5X  +0.8 


0 


.15 


.30 


.45 


.60 


.75 


6  8  10 

DRY  WEIGHT  (  mg  •  larva"') 

Figure  6. — Relation  of  lipofuscin  fluorescence  per  larva  to  dry  weight  for  larval  grunion  (upper  left)  white  seabass  (lower  left),  and 

California  halibut  (right).  Note  different  axes. 


larvae  to  see  if  we  could  detect  an  increase  in 
lipofuscin.  Table  3  shows  results  for  seabass 
starved  for  the  final  20%  of  the  rearing  period; 
there  was  no  significant  change  in  the  concentra- 
tion of  lipofuscin.  This  is  not  what  one  would  ex- 


pect if  accumulation  of  lipofuscin  is  proportional 
to  physiological  age,  unless  no  lipid  is  metabo- 
lized during  starvation.  However,  this  result  also 
could  reflect  slow  transformation  of  lipofuscin 
from  a  more  to  a  less  soluble  pool  (Vernet  et  al. 
1988). 


Table  3. — Lipofuscin  fluorescence  (FU)  per 
unit  dry  weigfif  of  larval  white  seabass  starved 
for  various  periods  after  age  29  days. 
N  =  number  of  analyses;  ranges  in  parenthe- 
ses. 


FU  (mg  dry  weight) -1         N 

Initial 

29  days  old 
Starved 

2.4 
(1.6-3.0) 

4 

2  days 

3.1 
(2.3-4.0) 

2 

4  days 

1.3 
(0.54-1.7) 

6 

6  days 

1.8 
(1.4-2.3) 

2 

8  days 

2.5 

1 

Conclusions 

Our  intent  was  to  evaluate  the  utility  of  mea- 
suring extracted  lipofuscin  fluorometrically  as  an 
indicator  of  the  integrated  metabolic  health  of 
fish,  especially  preserved  ones,  and  of  relative  net 
efficiency  of  growth.  We  conclude  that  this  tech- 
nique is  unlikely  to  be  useful  in  these  ways,  at 
least  within  the  larval  period.  Although  the  accu- 
mulation of  total  body  burden  of  lipofuscin  was 
demonstrated,  the  variability  among  individuals 
grown  under  the  same  conditions  became  so  large 
over  time  that  we  were  unable  to  calibrate  the 
method  in  an  ecologically  meaningful  sense.  The 
variability  was  evident  in  all  measures  of  growth, 


413 


lUU 

"GRUNION 

60 

• 

120 

- 

80 

• 
• 

• 

•         • 

40 

•  • 
• 

•    -1    •  1 

• 

• 
• 
• 

• 

1 

• 

•  • 

!:• 

!           1           1 

o 

> 


LU 
O 

LU 
CJ 
LD 
Ld 

a: 
o 


20 


15  - 


10 


5  - 


0 


SEABASS 


(5). 


'OfHALIBUT 


8  - 


6  - 


2  - 


0 


I 


1 


0  10  20  30 

DAYS  AFTER  HATCHING 

Figure  7. — Lipofuscin  fluorescence  per  larva  vs.  age  since 
hatching  for  laboratory-raised  larval  grunion  (top),  white  sea- 
bass  (center),  and  California  halibut  (bottom). 


200 


160 


120 


80 


40 


0 


100 


75 


50 


25 


0 


GRUNION 


Y=-0.99X  +  55 


SEABASS 


.    Y=-0.48X  +  13 


HALIBUT 


Y  =  -I.7X  +  67 


0  10  20  30 

DAYS  AFTER  HATCHING 

Figure  8. — Lipofuscin  fluorescence  per  unit  dry  weight  vs.  age 
since  hatching  for  laboratory-reared  larval  grunion  (top),  white 
seabsiss  (center),  and  California  halibut  (bottom).  Linear  fits  Eire 
for  comparative  purposes  only;  relations  for  seabass  and  halibut 
look  curvilinear. 


414 


and  is  common  in  culture  of  larval  fishes.  Such 
variability  may  be  reduced  in  nature,  where 
runts  may  be  subject  to  intense  predation. 

Lipofuscin  analysis  may  be  usefijl  only  when 
applied  to  postmitotic  tissue,  such  as  nervous  tis- 
sue in  mature  fish,  or  to  whole  organisms  whose 
mitotic  growth  has  essentially  ceased,  such  as 
adult  copepods  or  insects  (since  the  methods  ap- 
pear usefiil  in  arthropods — Ettershank  et  al. 
1983;  Sohal  and  Donato  1978).  In  these  organ- 
isms, the  vagaries  of  growth  are  reduced,  and  the 
accumulation  of  lipofuscin  during  starvation  or 
exercise  might  show  that  lipofuscin  concentration 
is  interpretable  as  a  measure  of  physiological  age, 
habitat  quality,  and  net  growth  efficiency. 

Lipofuscin  is  known  to  be  a  polytypic  sub- 
stance, probably  variable  in  composition  among 
different  organisms.  We  have  assumed  that  a  con- 
stant proportion  of  the  same  substance  is  ex- 
tracted. This  may  not  be  true  (Vernet  et  al.  1988), 
and  considerable  work  remains  to  be  done  on  the 
basic  biochemistry  of  the  component  substance(s). 
Though  the  extraction  and  fluorometric  measure- 
ment is  tantalizingly  simple,  it  may  well  be  that 
the  microscopical  method  used  to  quantify  "ceroid 
bodies"  is  the  best  approach.  Fluorescent  tech- 
niques used  in  histochemical  research  (Brizzee 
and  Jirge  1981),  combined  with  automatic  imag- 
ing procedures,  might  decrease  the  tedium  of 
staining  and  visual  microscopy. 

Acknowledgments 

We  thank  Refik  Orhun  and  Steve  Cadell  for  the 
larval  white  seabass  and  halibut,  and  Maria  Ver- 
net and  two  referees  for  helpful  comments.  Re- 
search was  supported  by  California  Department 
of  Fish  and  Game  project  C-921  and  National  Sci- 
ence Foundation  grant  OCE86-00742. 

Literature  Cited 

Bentle,  L  a..  S  Dutta,  and  J  Metcoff. 

1981.     The  sequential  enzymatic  determination  of  DNA 
and  RNA.     Anal.  Biochem.  116:5-16. 
Brizzee,  K  R  ,  and  S  K  Jirge. 

1981.  Fluorescent  microscope  techniques  for  the  visual- 
ization and  histological  quantification  of  autofluorescent 
lipofuscin  bodies  in  brain  tissues.  In  J.  E.  Johnson  (edi- 
tor). Current  trends  in  morphological  techniques,  Vol. 
III.     CRC  Press. 

CSALLANY,  A.  S  ,  AND  K   L  AYAZ 

1976.  Quantitative  determination  of  organic  solvent  solu- 
ble lipofuscin  pigments  in  tissue.     Lipids  11:412-417. 

DoRSEY,  T  E ,  P  W  McDonald,  and  O  A  Roels 

1977.  A  heated  Biuret-Folin  protein  assay  which  gives 
equal  absorbance  with  different  proteins.     Anal.  Bio- 


chem. 78:156-164. 
DOWSON.  J  H 

1982.  The  evaluation  of  autofluorescence  emission  spec- 
tra derived  from  neuronal  lipopigment.  J.  Microsc. 
128:261-262. 

Ettershank,  G. 

1984a.  A  new  approach  to  the  assessment  of  longevity  in 
the  Antarctic  krill  Euphausia  superba.  J.  Crust.  Biol. 
4(Spec.  No.  l):295-305. 
1984b.  Methodology  for  age  determination  of  Antarctic 
krill  using  the  age  pigment  lipofuscin.  Biomass  Handb. 
No.  26.  SCAR/SCOR/LABO/ACMRR. 
Ettershank,  G.,  I  MacDonnell,  and  R  Croft. 

1983.  The  accumulation  of  age  pigment  by  the  fleshfly 
Sarcophaga  bullata  Parker  (Diptera:  Sarcophagiidae). 
Aust.  J.  Zool.  31:131-138. 

Fletcher,  B  L  .  C  J  Dillard.  and  A  L  Tappel. 

1973.     Measurement    of   fluorescent    lipid    peroxidation 
products  in  biological  systems  and  tissues.     Anal.  Bio- 
chem. 52:1-9. 
Frey.  H  W 

1971.     California's  living  marine  resources  and  their  uti- 
lization.    Calif.  Dep.  Fish  Game,  Resour.  Agency,  148  p. 
May,  R  C 

1971.     Effects  of  delayed  initial  feeding  on  larvae  of  the 
grunion  Leuresthes   tenuis   (Ayres).     Fish.   Bull.,   U.S. 
69:411-425. 
MiQUEL,  J ,  J  Org,  K  G.  Bensch,  and  J  E  Johnson,  Jr. 

1977.  Lipofuscin:  fine-structural  and  biochemical  studies. 
In  W.  A.  Pryor  (editor).  Free  radicals  in  biology,  p.  133— 
182.     Acad.  Press,  N.Y. 

NICOL,  S 

1987.  Some  limitations  on  the  use  of  the  lipofuscin  ageing 
technique.     Mar.  Biol.  (Berl.)  93:609-614. 

Shimasaki,  H.,  N  Veta,  and  O.  S.  Privett 

1980.     Isolation  and  analysis  of  age-related  fluorescent 
substances  in  rat  testes.     Lipids  15:236-241. 
Sohal,  R.  S  ,  and  H  Donato. 

1978.  Effects  of  experimentally  altered  life  spans  on  the 
accumulation  of  fluorescent  age  pigment  in  the  housefly, 
Musca  domestica.     Exp.  Gerontol.  13:335-341. 

Theilacker,  G  H  ,  AND  M  F.  McMaster. 

1971.     Mass  culture  of  the  rotifer  Brachionus  plicatilis  and 
its  evaluation  as  food  for  larval  anchovies.     Mar.  Biol. 
(Berl.)  10:183-188. 
Thomas,  J  C 

1968.     Management  of  the  white  seabass  (Cynoscion  no- 
bilis )  in  California  waters.     Calif  Dep.  Fish  Game,  Fish. 
Bull.  142,  p.  1-34. 
Vernet,  M  ,  J  R  Hunter,  and  R.  D.  Vetter 

1988.  Accumulation  of  age  pigments  in  two  cold-water 
fishes.     Fish.  Bull.,  U.S.  86:401-407. 


M  M.  Mullin 
E.  R.  Brooks 


Institute  of  Marine  Resources 
Scripps  Institution  of  Oceanography 
University  of  California,  San  Diego 
La  Jolla,  CA  92093-0218 


415 


NOTICES 


NOAA  Technical  Reports  NMFS  published  during  last  6  months  of  1987 

55.  Proximate  composition,  energy,  fatty  acid,  sodium, 
and  cholesterol  content  of  fmfish,  shellfish,  and  their 
products.  By  Judith  Krzynowek  and  Jenny  Mur- 
phy.   July  1987,  iii  +  53  p.,  2  tables. 

56.  Some  aspects  of  the  ecology  of  the  leatherback  turtle, 
Dermochelys  coriacea,  at  Laguna  Jalova,  Costa 
Rica.  By  Harold  F.  Hirth  and  Larry  H. 
Ogren.     July  1987,  iii  +  14  p.,  12  tables,  13  figures. 

57.  Food  habits  and  dietary  variability  of  pelagic  nekton 
off  Oregon  and  Washington,  1979-1984.  By 
Richard  D.  Brodeur,  Harriet  V.  Lorz,  and  William  G. 
Pearcy.     July  1987,  iii  +  32  p.,  32  tables,  1  figure. 

58.  Stock  assessment  of  the  gulf  menhaden,  Brevoortia 
patronus,  fishery.  By  Douglas  S.  Vaughan. 
September  1987,  iii  +  18  p.,  19  figures,  14  tables. 

59.  Atlantic  menhaden,  Brevoortia  tyrannus ,  purse  seine 
fishery,  1972-84,  with  a  brief  discussion  of  age  and 
size  composition  of  the  landings.  By  Joseph  W. 
Smith,  William  R.  Nicholson,  Douglas  S.  Vaughan, 
Donnie  L.  Dudley,  and  Ethel  A.  Hall.  September 
1987,  iii  +  23  p.,  3  figures,  12  tables,  14  appendix 
tables. 

60.  Gulf  menhaden,  Brevoortia  patronus,  purse  seine 
fishery,  1974-85,  with  a  brief  discussion  of  age  and 
size  composition  of  the  landings.  By  Joseph  W. 
Smith,  Eldon  J.  Levi,  Douglas  S.  Vaughan,  and  Ethel 
A.  Hall.  December  1987,  iii  +  8  p.,  1  figure,  8  ta- 
bles, 2  appendix  tables. 

61.  Manual  for  starch  gel  electrophoresis:  a  method  for 
the  detection  of  genetic  variation.  By  Paul  B. 
Aebersold,  Gary  A.  Winans,  David  J.  Teel,  George  B. 
Milner,  and  Fred  M.  Utter.  December  1987,  iii  +  19 
p.,  8  figures,  1  table,  appendices. 

62.  Fishery  publication  index,  1980-85;  Technical  Memo- 
randum index,  1972-85.  By  Cynthia  S.  Martin, 
Shelley  E.  Arenas,  Jacki  A.  Guffey,  and  Joni  M. 
Packard.     December  1987,  iii  +  149  p. 


Some  NOAA  publications  are  available  by  purchaise  from  the  Superinten- 
dent of  Documents,  U.S.  Government  Printing  Office,  Washington,  DC 
20402. 


416 


ERRATA 


Fishery  Bulletin:   Vol.  86,  NO.   1 

Butler,  John  L.,  and  Darlene  Pickett,  "Age-specific  vulnerability  of  Pacific  sardine, 
Sardinops  sagax,  larvae  to  predation  by  northern  anchovy,  Engraulis  mor- 
dax,"    p.  163-167. 

Pages  165  and  166  have  incorrect  figures  for  the  legends,  please  replace  with  the 
following: 


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Figure  1. — Increase  by  size  of  the  percentage  of  Pacific  sardine 
larvae,  Sardinops  sagax,  and  northern  anchovy  larvae,  En- 
graulis mordax,  responding  to  attack  by  adult  northern  an- 
chovy and  95%  confidence  intervals.  Data  on  anchovy  larvae 
from  Folkvord  and  Hunter  (1986). 


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Figure  3. — Increase  by  size  of  the  percentage  of  Pacific  sardine 
larvae,  Sardinops  sagax,  and  northern  anchovy  larvae,  En- 
graulis mordax,  escaping  attack  by  adult  northern  anchovy  and 
95%  confidence  intervals.  Data  on  anchovy  larvae  from 
Folkvord  and  Hunter  (1986). 


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Figure  2. — Increase  by  age  of  the  percentage  of  Pacific  sardine 
larvae,  Sardinops  sagax,  and  northern  anchovy  larvae,  En- 
graulis mordax,  responding  to  attack  by  adult  northern  an- 
chovy and  95%  confidence  intervals.  Size  categories  of  reared 
larvae  have  been  converted  to  ages  using  growth  rates  esti- 
mated from  the  field.  Data  on  anchovy  larvae  from  Folkvord 
and  Hunter  (1986). 


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Figure  4. — Increase  by  age  of  the  percentage  of  Pacific  sardine 
larvae,  Sardinops  sagax,  and  northern  anchovy  larvae,  En- 
graulis mordax ,  escaping  attack  by  adult  northern  anchovy  and 
95%  confidence  intervals.  Size  categories  of  reared  larvae  have 
been  converted  to  ages  using  growth  rates  estimated  from  the 
field.  Data  on  anchovy  larvae  from  Folkvord  and  Hunter  (1986). 


303 


j  2  .q 


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Contents — Continued 

WATSON,  CHERYL,  ROBERT  E.  BOURKE,  and  RICHARD  W.  BRILL.  A  compre- 
hensive theory  on  the  etiology  of  burnt  tuna    367 

BROWN-PETERSON,  NANCY,  PETER  THOMAS,  and  CONNIE  R.  ARNOLD. 
Reproductive  biology  of  the  spotted  seatrout,  Cynoscion  nebulosus,  in  South 
Texas    373 


Notes 

CHEN,  CHE-TSUNG,  TZYH-CHANG  LEU,  and  SHOOU-JENG  JOUNG.  Notes 
on  reproduction  in  the  scalloped  hammerhead,  Sphyrna  lewini,  in  northeastern 
Taiwan  waters  389 

COLLINS,  MARK  R.,  and  CHARLES  A.  WENNER.  Occurrence  of  young-of-the- 
year  king  Scomberomorus  cavalla,  and  Spanish,  S.  maculatus,  materials  in 
commercial-type  shrimp  trawls  along  the  Atlantic  coast  of  the  southeast  United 
States  394 

DEW,  C.  BRAXTON.  Stomach  contents  of  commercially  caught  Hudson  River 
striped  bass,  Morone  saxatilis ,  1973-1975 397 

VERNET,  MARIA,  JOHN  R.  HUNTER,  and  RUSSELL  D.  VETTER.  Accumula- 
tion of  age  pigments  (lipofuscin)  in  two  cold-water  fishes 401 

MULLIN,  M.  M.,  and  E.  R.  BROOKS.  Extractable  lipofuscin  in  larval  marine 
fish    407 

Notices:  NOAA  Technical  Reports  published  during  the  last  6  months  of  1987  . . .      416 


GPO  791-008 


.<*<■':  ">». 


BuUetin 


^^AT£S  O^ 


Marine  Biological  Laboratory 
LIBRARY 

JAN  2  0  1989 


Vol.  86,  No.  3 


Woods  Hole,  Mass. 


-^ 


July  1988 


BARLOW,  JAY.  Harbor  porpoise,  Phocoena  phocoena,  abundance  estimation  for  Califor- 
nia, Oregon,  and  Washington:    I.  Ship  surveys 417^ 

BARLOW,  JAY,  CHARLES  W.  OLIVER,  TERRY  D.  JACKSON,  and  BARBARA  L. 
TAYLOR.  Harbor  porpoise,  Phocoena  phocoena,  abundance  estimation  for  California, 
Oregon,  and  Washington:    IL  Aerial  surveys 433-' 

SIGLER,  MICHAEL  R,  and  JEFFREY  T  FUJIOKA.  Evaluation  of  variability  in  sable- 
fish,  Anoplopoina  fimbria,  abundance  indices  in  the  Gulf  of  Alaska  using  the  bootstrap 
method 445 

BOEHLERT,  GEORGE  W,  and  TAKASHI  SASAKI.  Pelagic  biogeography  of  the  armor- 
head,  Pseudopentaceros  wheeleri,  and  recruitment  to  isolated  seamounts  in  the  North 
Pacific  Ocean 453 

SAVOY,  THOMAS  F,  and  VICTOR  A.  CRECCO.  The  timing  and  significance  of  density- 
dependent  and  density-independent  mortality  of  American  shad,  Alosa  sapidissima. .     467 

HOSS,  DONALD  E.,  LINDA  COSTON-CLEMENTS,  DAVID  S.  PETERS,  and  PATRICK. 
A  TESTER.  Metabolic  responses  of  spot,  LeiosUymus  xanthurus,  and  Atlantic  croaker, 
Micropogonias  undulatiis,  larvae  to  cold  temperatures  encountered  following  recruitment 
to  estuaries 483 

WATANABE,  YOSHIRO,  JOHN  L.  BUTLER,  and  TSUKASA  MORI.  Growth  of  Pacific 
saury,  CololaMs  saira,  in  the  northeastern  Pacific  Ocean 489 

DAVIES,  N.  M.,  R.  W  GAULDIE,  S.  A.  CRANE,  and  R.  K  THOMPSON.  Otolith 
ultrastructure  of  smooth  oreo,  Pseudocyttits  maculatus,  and  black  oreo,  Allocyttus  sp., 
species 499 

BECKER,  D.  SCOTT.  Relationship  between  sediment  character  and  sex  segregation  in 
English  sole,  Parophrys  vetulus 517 

JAMIESON,  GLEN  S.,  and  ANTAN  C.  PHILLIPS.  Occurrence  of  Cancer  crab  (C. 
magister  and  C.  oregonensis)  megalopae  off  the  west  coast  of  Vancouver  Island,  British 
Columbia 525 

STONER,  ALLAN  W,  and  ROGER  J.  ZIMMERMAN.  Food  pathways  associated  with 
penaeid  shrimps  in  a  mangrove-fringed  estuary 543^ 

WILSON,  ELIZABETH  A.,  ERIC  N.  POWELL,  and  SAMMY  M.  RAY  The  effect  of  the 
ectoparasitic  pyramidellid  snail,  Boonea  impressa,  on  the  growth  and  health  of  oysters, 
Crassostrea  virginica,  under  field  conditions  553 

BROUSSE  AU,  DIANE  J.,  and  JENNY  A  BAGLIVO.  Life  tables  for  two  field  populations 
of  soft-shell  clam,  Mya  arenaria,  (Mollusca:  Pelecypoda)  from  Long  Island  Sound .  .  .     567 

(Contimied  on  back  cover) 


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Dr.  William  J.  Richards 
National  Marine  Fisheries  Service 

Dr.  Tim  D.  Smith 

National  Marine  Fisheries  Service 


Mary  S.  Fukuyama,  Managing  Editor 


The  Fishery  BvMetin  (ISSN  0090-0656)  is  published  quarterly  by  the  Scientific  Publications  Office,  National  Marine  Fisheries  Service, 
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ment and  Budget 


Fishery  Bulletin 


CONTENTS 

Vol.  86,  No.  3  July  1988 

BARLOW,  JAY.  Harbor  porpoise,  Phocoena  phocoena,  abundance  estimation  for  Califor- 
nia, Oregon,  and  Washington:    I.  Ship  surveys 417 

BARLOW,  JAY,  CHARLES  W  OLIVER,  TERRY  D.  JACKSON,  and  BARBARA  L. 
TAYLOR.  Harbor  porpoise,  Phocoena  phocoena,  abundance  estimation  for  California, 
Oregon,  and  Washington:    IL  Aerial  surveys 433 

SIGLER,  MICHAEL  P.,  and  JEFFREY  T  FUJIOKA.  Evaluation  of  variability  in  sable- 
fish,  Ancyplopoma  fimbria,  abundance  indices  in  the  Gulf  of  Alaska  using  the  bootstrap 
method 445 

BOEHLERT,  GEORGE  W,  and  TAKASHI  SASAKI.  Pelagic  biogeography  of  the  armor- 
head,  Pseudopentaceros  wheeleri,  and  recruitment  to  isolated  seamounts  in  the  North 
Pacific  Ocean 453 

SAVOY,  THOMAS  F,  and  VICTOR  A.  CRECCO.  The  timing  and  significance  of  density- 
dependent  and  density-independent  mortality  of  American  shad,  Alosa  sapidissima. .     467 

HOSS,  DONALD  E.,  LINDA  COSTON-CLEMENTS,  DAVID  S.  PETERS,  and  PATRICIA 
A.  TESTER.  Metabolic  responses  of  spot,  Leiostomus  xanthurus,  and  Atlantic  croaker, 
Micr&pogonias  undidatvs,  larvae  to  cold  temperatures  encountered  following  recruitment 
to  estuaries  483 

WATANABE,  YOSHIRO,  JOHN  L.  BUTLER,  and  TSUKASA  MORI.  Growth  of  Pacific 
saury,  Cololabis  saira,  in  the  northeastern  Pacific  Ocean 489 

DAVIES,  N.  M.,  R.  W  GAULDIE,  S.  A.  CRANE,  and  R.  K.  THOMPSON.  Otolith 
ultrastructure  of  smooth  oreo,  Pseudocyttits  maculatus,  and  black  oreo,  Allocyttus  sp., 
species 499 

BECKER,  D.  SCOTT.  Relationship  between  sediment  character  and  sex  segregation  in 
English  sole,  Parophrys  vetulus 517 

JAMIE  SON,  GLEN  S.,  and  ANTAN  C.  PHILLIPS.  Occurrence  of  Cancer  crab  (C. 
magister  and  C.  oreganensis)  megalopae  off  the  west  coast  of  Vancouver  Island,  British 
Columbia 525 

STONER,  ALLAN  W,  and  ROGER  J.  ZIMMERMAN.  Food  pathways  associated  with 
penaeid  shrimps  in  a  mangrove-fringed  estuary 543 

WILSON,  ELIZABETH  A.,  ERIC  N.  POWELL,  and  SAMMY  M.  RAY.  The  effect  of  the 
ectoparasitic  pyramidellid  snail,  Boonea  impressa,  on  the  growth  and  health  of  oysters, 
Crassostrea  virginica,  under  field  conditions   553 

BROUSSE  AU,  DIANE  J.,  and  JENNY  A.  BAGLIVO  Life  tables  for  two  field  populations 
of  soft-shell  clam,  Mya  arenaria,  (MoUusca:  Pelecypoda)  from  Long  Island  Sound . .  .      567 

{Contimied  on  next  page) 


Seattle,  Washington 
1988 


For  sale  by  the  Superintendent  of  Documents,  U.S.  Government  Printing  Offi 
DC  20402— Subscription  price  per  year;  $16.00  domestic  and  $20.00  foreign 
issue;  $9.00  domestic  and  $11.25  foreign. 


Marine  Biological  Laboratory 
LIBRARY 


e,  Washingti 
'ost  per  si 


t^m  2  0  1989 


li 


Woods  Hole,  Mass.     j 


Contents— ConiiriMed 

FARLEY,  C.  AUSTIN,  PETER  H.  WOLF,  and  RALPH  A.  ELSTON.  A  long-term  study 
of  "microcell"  disease  in  oysters  witii  a  description  of  a  new  genus,  Mikrocytos  (g.  n.), 
and  two  new  species,  Mikrocytos  mackini  (sp.  n.)  and  Mikroq^tos  roughleyi  (sp.  n.)  .      581 


Notes 

WILLIAMS,  AUSTIN  B.    Cojoined  twin  adult  shrimp  (Decapoda:  Penaeidae) 595 

GOULD,  EDITH,  DIANE  RUSANOWSKY,  and  DONNA  A.  LUEDKE.  Note  on 
muscle  glycogen  as  an  indicator  of  spawning  potential  in  the  sea  scallop,  Placopecten 
magellanixrus  597 

JAMIESON,  GLEN  S,  and  ELLEN  K  PIKITCH.  Vertical  distribution  and  mass  mortality 
of  prawns,  Pandalvs  platyceros,  in  Saanich  Inlet,  British  Columbia 601 

YANG,  MEI-SUN.  Morphological  differences  between  two  congeneric  species  of  pleuro- 
nectid  flatfishes:  Arrowtooth  flounder,  Atheresthes  stomias,  and  Kamchatka  flounder, 
A.  evermanni 608 

McINTYRE,  JOHN  D,  REGINALD  R.  REISENBICHLER,  JOHN  M.  EMLEN,  RICHARD 
L.  WILMOT,  and  JAMES  E.  FINN.  Predation  of  Karluk  River  sockeye  salmon  by  coho 
salmon  and  char 611 


The  National  Marine  Fisheries  Service  (NMFS)  does  not  approve,  recommend  or  en- 
dorse any  proprietary  product  or  proprietary  material  mentioned  in  this  publication. 
No  reference  shall  be  made  to  NMFS,  or  to  this  publication  furnished  by  NMFS,  in 
any  advertising  or  sales  promotion  which  would  indicate  or  imply  that  NMFS  ap- 
proves, recommends  or  endorses  any  proprietary  product  or  proprietary  material 
mentioned  herein,  or  which  has  as  its  purpose  an  intent  to  cause  directly  or  indirect- 
ly the  advertised  product  to  be  used  or  purchased  because  of  this  NMFS  publication. 


HARBOR  PORPOISE,  PHOCOENA  PHOCOENA, 
ABUNDANCE  ESTIMATION  FOR  CALIFORNIA,  OREGON,  AND 

WASHINGTON:  I.  SHIP  SURVEYS 


Jay  Barlowi 


ABSTRACT 

The  density  and  total  population  size  of  harbor  porpoise  along  the  coasts  of  California,  Oregon,  and 
Washington  are  estimated  from  ship  surveys  using  line  transect  methods.  Surveys  were  completed 
between  September  1984  and  May  1986  using  teams  of  3-5  observers.  Data  include  852  porpoise  groups 
sighted  during  6,590  km  of  transects.  Sighting  rates  varied  more  due  to  effects  of  sea  state  than  due 
to  the  presence  of  rain,  fog,  or  sun  glare.  Experiments  using  additional  observers  indicate  that  approx- 
imately 22%  of  trackline  groups  were  missed  by  a  team  of  5  observers.  Harbor  porpoise  density  is 
calculated  from  transects  along  the  18  m  isobath  and  is  extrapolated  to  other  depth  zones  based  on  a 
model  of  porpoise  abundance  as  a  function  of  depth.  Total  population  size  is  estimated  as  45,713  (SE 
=  7,865)  animals. 


Approximately  200-300  harbor  porpoise  are  taken 
annually  in  central  California  set  net  fisheries  (Dia- 
mond and  Hanan^;  Hanan,  et  al.^).  Little  is  known 
about  porpoise  abundance  in  this  area.  Dohl  et  al.* 
estimated  that  1,600-3,000  porpoise  reside  in  cen- 
tral and  northern  California  based  on  their  aerial 
surveys  of  coastal  cetaceans.  However,  because  har- 
bor porpoise  are  frequently  missed  in  aerial  surveys 
(Kraus  et  al.  1983),  this  estimate  is  probably  low. 
More  information  is  needed  on  abundance,  distribu- 
tion, and  population  structure  to  determine  the 
significance  of  harbor  porpoise  mortality  in  set 
nets. 

Beginning  in  1984,  the  National  Marine  Fisheries 
Service  (NMFS)  has  conducted  ship  and  aerial 
surveys  of  harbor  porpoise  abundance  in  California, 
Oregon,  and  Washington.  This  report  presents 
results  from  four  ship  surveys.  Results  of  the  aerial 
surveys  are  presented  by  Barlow  et  al.  (1988). 


'Southwest  Fisheries  Center  La  JoUa  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  P.O.  Box  271,  La  Jolla,  CA 
92038. 

^Diamond,  S.  L.,  and  D.  A.  Hanan.  1986.  An  estimate  of  har- 
bor porpoise  mortality  in  California  set  net  fisheries:  April  1,  1983 
through  May  31,  1984.  Adm.  Rep.  SWR-86-15,  40  p.  Available 
from  National  Marine  Fisheries  Service,  Southwest  Region,  300 
S.  Ferry  Street,  Terminal  Island,  CA  90731. 

^Hanan,  D.  A.,  S.  L.  Diamond,  and  J.  P.  Scholl.  1986.  An  esti- 
mate of  harbor  porpoise  mortality  in  California  net  fisheries  April 
1,  1984  through  March  31,  1985.  Adm.  Rep.  SWR-86-16,  38  p. 
Available  from  National  Marine  Fisheries  Service,  Southwest 
Region,  300  S.  Ferry  Street,  Terminal  Island,  CA  90731. 

^Dohl,  T.  P.,  R.  C.  Guess,  M.  L.  Duman,  R.  C.  Helm.  1983. 
Cetaceans  of  central  and  northern  California,  1980-83:  status, 
abundance,  and  distribution.  Report  prepared  for  U.S.  Minerals 
Management  Service,  Contract  #14-12-0001-29090,  284  p. 


Porpoise  density  is  estimated  from  survey  data 
using  line  transect  models  (Burnham  et  al.  1980). 
Total  abundance  is  estimated  by  extrapolating  from 
density  observed  along  transect  lines  to  the  entire 
area  inhabited.  Abundance  in  offshore  regions  is 
based  on  a  model  of  porpoise  density  as  a  function 
of  water  depth.  In  addition  to  abundance  estimation, 
survey  data  are  used  to  examine  the  effect  of  envi- 
ronmental conditions  on  sighting  efficiency  and  the 
possibility  of  temporal  changes  in  harbor  porpoise 
distribution. 


METHODS 

Ship  Survey  Methods 

Surveys  were  conducted  from  two  National 
Oceanic  and  Atmospheric  Administration  (NOAA) 
research  vessels,  the  52  m  RV  David  Starr  Jordan 
(Surveys  1,  3,  and  4)  and  the  54  m  RV  McArthur 
(Survey  2)^.  Both  vessels  were  of  similar  design  with 
viewing  stations  located  on  top  of  the  pilothouse 
(viewing  height  was  approximately  10  m  above  sea 
surface).  Transect  lines  followed  as  close  as  possi- 
ble to  the  18  m  isobath  (roughly  2-4  km  from  the 
coast),  although  the  actual  depth  along  the  transect 
varied  from  approximately  15-45  m,  depending  on 
the  presence  of  local  navigational  hazards.  The  areas 


Manuscript  accepted  May  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


^Cruise  reports  available  from  the  Southwest  Fisheries  Center, 
P.O.  Box  271,  La  Jolla.  CA  92038. 

417 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


surveyed  are  shown  in  Figure  1.  Survey  design 
va^ried  among  the  four  trips: 

Surveys  1  and  3  were  in  September  1984  and  1985, 
respectively.  Both  were  designed  to  survey  harbor 
porpoise  density  and  abundance  from  Point  Concep- 
tion, CA  to  Cape  Flattery,  WA.  An  attempt  was 
made  to  survey  the  entire  coastline  on  each  of  these 
cruises,  but  several  sections  of  the  coast  were  missed 


(Fig.  1)  because  of  fog  and  heavy  weather.  Five 
observation  positions  were  used  on  these  two 
surveys. 

Survey  2  was  from  24  January  to  9  February  1985 
and  was  primarily  designed  to  examine  seasonal 
changes  in  harbor  porpoise  distribution  between 
Point  Conception,  CA  and  Cape  Flattery,  WA.  Data 
from  this  cruise  were  not  used  for  density  or  abun- 
dance estimation. 


1 \ \ \ 1 n  49°N 


48° 


-  47° 


10  PORPOISE/KM 

I  I 


II 


SURVEY  1       SURVEY  2      SURVEY  3 

SEPTEMBER   JANUARY/FEBRUARY  SEPTEMBER 

1984  1985  1985 


SURVEY  4 

APRIL/MAY 

1986 


-  46° 


-  45° 


-  44° 


41° 


-  38° 


37° 


36° 


-  35° 


34° 


-  33° 


32° 


123° 


121° 


119° 


117°W 


Figure  1.— Relative  sightings  per  kilometer  based  on  30-minute  latitudinal  strata.  Lines  parallel  to  the  coast  indicate  areas  that  were 
surveyed.  Histograms  indicate  relative  numbers  of  harbor  porpoise  seen  per  kilometer  of  transect,  with  bars  to  the  left  indicating  rela- 
tive numbers  in  calm  seas  (Beaufort  0,  1,  and  2)  and  bars  to  the  right  indicating  relative  number  in  rough  seas  (Beaufort  3,  4,  and 
5). 


418 


BARLOW:  SHIP  SURVEYS  OF  HARBOR  PORPOISE 


Survey  ^  was  from  24  April  to  5  May  1986  and 
was  designed  to  investigate  factors  which  affect  har- 
bor porpoise  density  estimation.  The  surveys  con- 
centrated on  several  areas  of  high  porpoise  density 
in  central  California.  The  vessel's  activities  were 
coordinated  with  a  helicopter  to  gather  information 
on  the  avoidance  of  the  ship  by  harbor  porpoise.  Ex- 
periments were  also  conducted  on  survey  4  to  deter- 
mine whether  an  independent  team  of  3  observers 
would  sight  any  porpoise  that  were  missed  by  the 
primary  team  of  5  observers.  Data  from  this  survey 
were  not  used  for  density  or  abundance  estimation. 

Typically,  8-10  observers  were  used  on  each 
survey,  with  a  rested  observer  starting  every  half 
hour  and  rotating  through  5  primary  observation 
positions  at  half-hour  intervals.  The  5  positions  con- 
sisted of  port  and  starboard  inboard  observers,  port 
and  starboard  outboard  observers,  and  a  recorder 
positioned  amidship.  The  inboard  observers 
searched  with  7  power  (7  x )  binoculars  from  straight 
ahead  to  90°  (survey  1)  or  to  45°  (surveys  2,  3,  and 
4)  on  their  respective  sides  of  the  vessel.  On  survey 
1  the  outboard  observers  searched  with  25  x, 
pedestal-mounted  binoculars.  Although  sightings 
could  be  made  at  great  distances  from  the  vessel 
using  the  25  x  binoculars,  these  distant  sightings 
contributed  little  to  the  estimation  of  trackline  den- 
sity, and  use  of  25  x  binoculars  was  discontinued. 
On  subsequent  surveys,  both  the  inboard  and  out- 
board observers  used  7  x  binoculars.  The  outboard 
observers  searched  from  straight  ahead  to  90°  on 
their  respective  sides  of  the  vessel.  The  recorder 
searched  in  the  immediate  vicinity  of  the  ship  using 
unaided  eyes  and  (intermittently)  7x  binoculars. 

On  survey  2,  only  3  observation  positions  were 
used  from  Point  Conception  to  Point  Sur,  CA  and 
from  Point  Reyes,  CA  to  Cape  Flattery,  WA.  When 
effort  was  reduced  to  3  observers,  the  inside  obser- 
vation positions  were  eliminated. 

On  survey  4,  a  second  team  of  3  observers  was 
added  to  monitor  the  effectiveness  of  the  principal 
team.  This  monitor  team  searched  using  unaided 
eyes  and  (intermittently)  7x  binoculars  from  the 
pilothouse  deck  (viewing  height  approximately  7  m 
from  sea  surface).  The  principal  team  and  the  moni- 
tor team  did  not  communicate  sighting  information, 
and  independent  records  were  kept. 

Data  were  noted  by  the  recorder  on  data  coding 
forms.  Data  on  search  effort  included  the  beginning 
and  ending  times  and  positions  for  continuous  legs 
of  effort,  the  ship's  heading  and  speed,  personal 
identification  codes  for  the  observers,  sea  surface 
temperature,  water  depth,  Beaufort  sea  state,  sun 


position  relative  to  the  ship,  and  codes  indicating 
the  presence  of  rain  or  fog  within  5  km.  The  ship 
position  was  determined  from  a  Loran  navigational 
system  or  by  triangulation  using  coastal  landmarks 
and  dead  reckoning.  Ship  speed  was  recorded  direct- 
ly from  the  Omega/Loran  system  or  was  calculated 
based  on  time  and  distance  traveled  between  suc- 
cessive position  fixes  along  straight  transect  lines. 
Water  depth  was  measured  using  a  38  kHz  acoustic 
depth  sounder. 

Data  for  sightings  consisted  of  the  above  ele- 
ments, plus  estimated  group  size,  distance  to  shore, 
an  estimate  of  the  angle  between  the  trackline  of 
the  ship  and  the  group,  and  an  estimate  of  the 
distance  from  the  ship  to  the  group.  Group  size 
refers  to  all  the  individuals  associated  with  a  sight- 
ing event.  In  most  cases,  groups  were  closely  asso- 
ciated individuals  that  surfaced  together  (mean  = 
2.92,  median  =  2.0).  In  two  cases  (Point  Arena  and 
Monterey  Bay,  CA),  groups  consisted  of  50-80  loose- 
ly associated  individuals  that  were  organized  in 
subgroups  of  4-10).  Group  size  was  estimated  and 
recorded  independently  by  each  observer;  the  mean 
of  these  estimates  was  used  in  subsequent  analyses. 
The  angle  from  the  trackline  to  the  porpoise  was 
estimated  visually  with  the  aid  of  a  pelorus  mounted 
in  front  of  the  observer  stations,  or,  when  25  x 
binoculars  were  used,  from  a  calibrated  collar  on  the 
pedestal  mount.  On  surveys  1  and  2,  distances  to 
harbor  porpoise  were  estimated  visually  using  the 
radar  distance-to-shore  as  a  reference,  or,  when  25  x 
binoculars  were  used,  distances  were  estimated 
using  calibrated  reticles  in  the  oculars.  On  surveys 
3  and  4,  distances  were  estimated  using  calibrated 
reticles  in  the  oculars  of  7  x  binoculars.  Data  were 
also  collected  on  the  porpoises'  direction  of  travel 
relative  to  the  ship. 

The  length  of  a  transect  was  estimated  as  the 
product  of  ship  speed  and  elapsed  time.  To  stratify 
density  estimates  by  sea  state,  rain,  and  fog,  the 
effort  record  was  divided  into  segments  during 
which  the  sea  state,  rain,  and  fog  codes  did  not 
change. 

In  five  areas,  information  was  collected  on  varia- 
tion in  harbor  porpoise  density  with  water  depth. 
During  survey  3,  three  sections  of  the  coast  were 
surveyed  intensively  (Fort  Bragg  to  Cape  Vizcaino, 
CA;  Cape  Blanco  to  Coquille  Point,  OR;  and  Cape 
Lookout  to  Tillamook  Head,  OR),  with  transect  lines 
following  the  18,  56,  92,  and  185  m  isobaths.  On 
survey  4,  the  18  and  46  m  isobaths  were  surveyed 
in  Monterey  Bay,  CA  and  in  the  vicinity  of  the  Rus- 
sian River,  CA.  These  data  formed  the  basis  of  a 
model  (below)  to  extrapolate  porpoise  density  from 


419 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


the  usual  transect  lines  (along  the  18  m  isobath)  to 
deeper  waters. 

Helicopter  Observations 

During  survey  4,  a  Hughes  500-D  helicopter  was 
used  to  collect  information  on  harbor  porpoise 
behavior  in  response  to  the  survey  ship.  The  heli- 
copter flew  approximately  10  km  ahead  of  the 
vessel,  and  3  observers  in  the  helicopter  looked  for 
harbor  porpoise.  Once  a  group  of  harbor  porpoise 
was  sighted,  the  helicopter  hovered  at  200-300  m 
while  observers  made  behavioral  observations  and 
periodically  recorded  the  helicopter's  position  using 
an  on-board  Loran  system.  Fluorescein  dye  pack- 
ages were  dropped  in  the  water  to  allow  the  heli- 
copter to  maintain  its  position  when  harbor  porpoise 
were  diving.  Radio  communication  was  maintained 
with  personnel  on  the  ship  who  also  kept  records 
of  the  helicopter  position  using  radar  distances  and 
bearings  based  on  returns  from  an  X-band  radar 
transponder  in  the  helicopter.  The  ship  changed 
course,  when  necessary,  to  ensure  that  it  passed  in 
close  proximity  to  the  porpoise  that  were  being 
observed.  Porpoise  observers  on  the  ship  were  not 
aware  of  the  helicopter's  activities  and  were  not  told 
of  sightings  made  by  the  helicopter  observers  (al- 
though they  were  able  to  see  dye  patches  in  some 
cases).  Behavioral  observations  from  the  helicopter 
included  time  spent  at  the  surface,  time  spent  div- 
ing, and  direction  of  porpoise  movement. 

Density  Estimation 

Line  transect  methods  were  used  to  estimate  the 
density  of  harbor  porpoise  from  sightings.  The 
assumptions  of  these  methods  are  considered  in 
detail  in  the  discussion.  The  usual  formula  for 
estimating  density  (D)  based  on  line  transect 
surveys  of  small  cetaceans  is  given  by 


D  = 


m  ■  n-  G 
2  ■  L 


(1) 


where  /(O) 


n 
G 


L  = 


the  probability  density  function  for 
sightings  evaluated  at  zero  perpen- 
dicular distance, 
number  of  sightings  of  groups, 
average  group  size  calculated  as  the 
total  number  of  individuals  in  all 
groups  divided  by  the  number  of 
groups  (iN/n),  and 
length  of  the  transect. 


(Holt  and  Powers  1982;  Hammond  and  Laake  1983; 
Holt  in  press).  I  did  not  use  mean  group  size  explicit- 
ly in  abundance  estimation,  and  density  of  harbor 
porpoise  individuals,  D,  was  estimated  as 


D  =  /(O)  ■  iRI2) 

where  R  =  the  number  of  individuals 
length  of  transect  (XN/L). 


(2) 


seen  per 


Equation  (2)  is  functionally  equivalent  to  Equation 
(1),  but  it  simplifies  variance  estimation.  Typically 
when  using  Equation  (1),  variances  (and  possibly 
covariances)  must  be  estimated  for/(0),  G,  and  n. 
Using  Equation  (2),  variances  are  needed  only  for 
/(O)  and  R,  and  covariance  between  mean  group  size 
and  number  of  groups  is  handled  implicitly.  Sight- 
ing distributions  appear  to  be  independent  of  group 
size,  G,  (Results  section),  hence  no  adjustments  were 
made  to  /(O)  for  group  size  bias. 

The  parameter /(O)  is,  in  effect,  a  measure  of  sight- 
ing efficiency  and  should  not  vary  with  porpoise 
abundance.  Sighting  efficiency  is,  however,  likely 
to  change  with  sighting  conditions,  such  as  Beau- 
fort sea  state.  Given  these  expectations  and  because 
relatively  large  sample  sizes  are  needed  to  estimate 
/(O)  accurately,  values  for/(0)  were  estimated  for 
each  survey  by  pooling  all  sightings  within  defined 
sea  state  categories.  In  order  to  estimate  density 
on  a  finer  scale,  estimates  of  R  were  stratified  by 
geographic  region  and  multiplied  by  the  pooled  esti- 
mate of /(O). 

The  sighting  probability  density  function  evalu- 
ated at  zero  distance,  /(O),  was  determined 
empirically  by  fitting  curves  to  the  frequency 
distribution  of  sightings  as  a  function  of  perpen- 
dicular distance  from  the  trackline  (Burnham  and 
Anderson  1976).  Differences  in  distributions  of 
perpendicular  distance  were  tested  using  the 
Kolmogorov-Smirnov  2-sample  test.  To  avoid  bias 
due  to  rounding  error,  angle  and  radial  distance  data 
were  "smeared"  (Butterworth  1982;  Hammond  and 
Laake  1983).  Angles  were  smeared  by  adding  a 
uniformly  distributed  random  number  between  -  5° 
and  -1-5°  to  angle  estimates.  Radial  distances  were 
smeared  by  adding  a  uniformly  distributed  random 
number  between  0.2  and  -(-0.2  times  the  estimated 
distance.  These  smearing  levels  were  based  on  the 
degree  of  rounding  that  was  apparent  from  the  data 
(Barlow^). 


^Barlow,  J.  1987.  Abundance  estimation  for  harbor  porpoise 
(Phocoena  phocoena)  based  on  ship  surveys  along  the  coasts  of 
Cahfornia,    Oregon,    and    Washington.    Adm.    Rep.    LJ-87-05. 


420 


BARLOW:  SHIP  SURVEYS  OF  HARBOR  PORPOISE 


Several  models  were  investigated  for  estimating 
/(O)  from  sighting  distributions.  The  FORTRAN  pro- 
gram Transect  (Laake  et  al.  1979)  was  used  to  fit 
2-,  3-,  4-,  and  5-parameter  Fourier  series  and 
2-parameter  exponential  power  series  models.  The 
FORTRAN  programs  Hazard  and  Hermite  (S.  Buck- 
land'')  were  used  to  fit  the  2-parameter  hazard  rate 
model  (constrained  such  that  parameter  P  >  2, 
Buckland  1985)  and  the  1-,  2-,  3-,  and  4-parameter 
Hermite  polynomial  model  (Buckland  1985).  Of  these 
models,  the  2-parameter  hazard  rate  model  was 
selected  based  on  its  ability  to  fit  the  observed 
distributions  and  its  lack  of  dependence  on  group- 
ing criteria  (Buckland  1985). 

Perpendicular  distances  were  grouped  into  strata, 
the  size  of  which  increased  with  perpendicular 
distance:  0-25  m,  25-50  m,  50-100  m,  100-200  m, 
200-400  m,  400-800  m,  800-1,600  m,  and  1,600- 
3,200  m.  Several  alternative  groupings  were  inves- 
tigated, and  the  choice  of  outpoints  made  very  little 
difference  in  estimates  of /(O).  The  above  strata 
(increasing  with  distance)  gave  lower  variances  in 
/(O)  than  when  each  stratum  was  of  equal  size 
(possibly  because  the  hazard  rate  model  assumes  a 
distinct  shoulder  in  the  sighting  distribution,  and 
that  shoulder  is  lost  if  the  first  distance  strata  are 
large). 

No  established  criteria  exist  for  choosing  an  appro- 
priate perpendicular  distance  at  which  to  truncate 
sighting  distributions.  Burnham  et  al.  (1980)  recom- 
mend that  no  more  than  1-3%  of  sightings  be 
eliminated  by  truncation.  Using  this  recommenda- 
tion, models  were  not  able  to  adequately  fit  the 
observed  sighting  distributions.  In  this  report,  trun- 
cation distance  was  chosen  in  four  ad  hoc  steps: 
1)  The  hazard  rate  model  was  fit  to  perpendicular 
distance  data  truncated  at  distances  of  400,  800, 
1,600,  and  3,200  m.  2)  Truncation  distances  were 
identified  which  gave  acceptable  x^  values  (P  > 
0.1).  3)  Of  the  acceptable  truncation  distances,  the 
standard  error  in/(0)  was  estimated  empirically  by 
randomly  drawing  10  samples  (of  the  same  size  as 
the  original  sample)  from  the  observed  distribution 
of  perpendicular  distances  and  by  calculating  the 
standard  deviation  of/(0)  estimated  from  each  ran- 
dom sample.  4)  Truncation  distances  were  chosen 
as  those  which  gave  the  lowest  coefficient  of  varia- 
tion in/(0). 

Variance  in  R,  the  number  of  porpoise  seen  per 
kilometer,  was  estimated  using  jackknife  statistics 


(Efron  1982).  Jackknife  estimates  were  calculated 
by  first  estimating  the  value  of  i?  using  all  data.  The 
value,  Rj^,  was  again  estimated  excluding  the  A;th 
segment  of  search  effort.  This  process  was  repeated 
for  each  effort  segment.  To  ensure  that  each  kth  seg- 
ment was  of  equivalent  length,  effort  segments  with 
the  same  sea  state,  rain,  and  fog  codes  were  com- 
bined in  a  linear  array  and  were  then  divided  into 
10  segments  of  approximately  equal  length.  The 
variance  in  the  estimate  of  R  was  calculated  as 


10 


s2  = 


~  •   1  (i?,  -  Rf 

10      ^=1 


(3) 


Avail,  from  Southwest  Fisheries  Center,  P.O.  Box  271,  La  Joila, 
CA  92038. 

^S.  Buckland,  Inter-American  Tropical  Tuna  Commission,  P.O. 
Box  271,  La  Jolla,  CA  92038,  pers.  commun.  July  1986. 


The  variance  of  D  was  estimated  using  the  Good- 
man (1960)  product  variance  formula  (assuming  no 
covariance)  using  this  jackknife  variance  for  R  and 
the  above  Monte  Carlo  variance  for/(0). 

Fraction  of  Missed  Animals 

On  survey  4,  a  second,  independent  team  of  3 
observers  were  used  to  estimate  the  fraction  of 
harbor  porpoise  that  are  missed  by  the  primary 
team  of  5  observers.  The  fraction  of  missed  animals 
in  a  sighting  survey  is  analogous  to  the  fraction  of 
unmarked  animals  in  a  mark/recapture  experi- 
ment (Pollock  and  Kendall  1987).  This  fraction 
was  estimated  using  the  Chapman  (1951)  modifica- 
tion of  the  Petersen  (or  Lincoln)  index  method 
(Pollock  and  Kendall  1987).  Confidence  limits  were 
estimated  using  Adams'  (1951)  method,  which 
assumes  a  binomial  sampling  distribution.  Standard 
error  was  estimated  using  standard  binomial 
formulas. 

Abundance  Estimation 

A  model  was  used  to  estimate  the  number  of  har- 
bor porpoise  along  the  entire  coastline  based  on  the 
density  that  was  observed  along  the  18  m  isobath. 
In  shallow  areas,  such  as  the  Bering  Sea  and 
Georges  Bank,  harbor  porpoise  are  found  a  con- 
siderable distance  from  land  (Gaskin  1984),  hence 
offshore  distribution  is  better  modelled  as  a  func- 
tion of  depth  than  as  a  function  of  distance  from 
shore.  (Although  harbor  porpoise  are  also  found  in 
very  deep  water  in  fjords  and  inland  waterways  of 
Alaska  [Taylor  and  Dawson  1984],  this  represents 
a  special  case  that  is  not  applicable  to  coastal  waters 
considered  here.)  The  model  used  to  estimate  abun- 
dance was  based  on  data  collected  on  surveys  3  and 
4  and  on  data  from  a  ship  surveys  by  La  Barr  and 


421 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Ainley^  and  Szczepaniak^  in  central  California.  The 
number  of  harbor  porpoise  seen  per  kilometer  of 
transect  was  taken  as  an  index  of  relative  density 
along  each  isobath.  A  simple  descriptive  model  was 
then  constructed  to  give  relative  density  as  a  func- 
tion of  water  depth. 

Fifteen  depth  strata  were  used  in  abundance 
estimation:  0-10, 10-20,  20-30, . . . ,  and  140-150  m. 
The  surface  area  within  the  strata  was  calculated 
from  digitized  bathymetric  data.  Kelp  beds  were 
assumed  to  be  unsuitable  as  harbor  porpoise  habitat; 
hence,  kelp  bed  area  was  subtracted  from  the  total 
area  within  the  0-10  m  stratum.  Kelp  bed  areas  for 
the  entire  west  coast  were  taken  from  Crandall 
(1915).  More  recent  estimates  for  limited  areas  in 
central  California  are  in  good  agreement  with  these 
previous  values  (G.  Van  Blaricom^"). 

For  each  of  15  depth  strata,  the  abundance  of  har- 
bor porpoise  was  estimated  as  the  product  of  their 
density  along  the  survey  line  (the  18  m  isobath),  the 
density  in  that  depth  strata  relative  to  that  along 
the  survey  line,  the  surface  area  included  within  that 
depth  strata,  and  the  inverse  of  the  estimated  frac- 
tion of  trackline  animals  that  were  seen.  Since 
survey  effort  and  harbor  porpoise  density  both 
varied  geographically,  abundance  estimates  were 
made  for  each  of  8  geographic  regions  (Fig.  2). 
Areas  within  the  depth  strata  were  estimated  from 
NOAA  bathymetric  data.  The  estimate  of  total  abun- 
dance along  the  coast,  A/'y,  is  therefore  given  by 


15 


^- =  ^  I  «^ .?.  <^' ■  ^^.'> 


(4) 


where  Dj  =  density  of  individuals  observed  on  the 

transect  line  in  the  jth  geographic 

strata, 
4  =  ratio  of  density  in  depth  strata  k  to 

that  on  transect  line  (see  Figure  4), 
Aji^  =  area  in  geographic  region  j'  and  depth 

strata  k,  and 
F  =  the  estimated  fraction  of  trackline 

animals  seen  by  the  usual  team  of  5 

observers. 


'LaBarr,  M.  S.,  and  D.  G.  Ainley.  1985.  Depth  distribution  of 
harbor  porpoise  off  central  California:  A  report  of  cruises  in  April 
and  May-June  1985.  Report  to  U.S.  National  Marine  Fisheries 
Service,  Northwest  and  Alaska  Fishery  Center,  7600  Sand  Point 
Way  N.E.,  Seattle,  WA.    Contract  No.  41-USC252. 

'Szczepaniak,  I.  D.  1987.  Abundance  and  distribution  of  har- 
bor porpoise  (Phocoena  phocoena)  in  the  Gulf  of  the  Farallones 
National  Marine  Sanctuary.  Contract  report  prepared  for 
National  Park  Service,  Point  Reyes  National  Seashore,  Point 
Reyes,  CA  94956. 

'"G.  Van  Blaricom,  U.S.  Fish  and  Wildlife  Service,  University 
of  California,  Santa  Cruz,  CA  93106,  pers.  commun.  August  1986. 


Equation  (4)  was  applied  independently  to  the  dif- 
ferent surveys  and,  within  surveys,  to  different  sea 
state  strata.  When  combining  estimates  from  differ- 
ent sea  states  or  different  cruises,  abundance  was 
calculated  as  the  mean  of  the  densities  in  each  of 
the  stratum,  weighted  by  the  length  of  the  transect 
line  within  that  stratum. 

In  estimating  standard  error  for  total  abundance, 
variances  of  products  were  calculated  using  the 
Goodman  (1960)  product  variance  formula,  and  vari- 
ances of  ratios  were  estimated  using  a  Taylor 
approximation  (Yates  1953,  p.  198).  Area  was 
assumed  to  be  known  without  error.  Statistical  error 
in  the  indices  of  abundance  for  the  depth  strata  could 
not  be  estimated  given  the  paucity  of  available  in- 
formation. To  account  for  uncertainty  in  the  model 
of  depth  distribution,  three  versions  of  the  model 
are  proposed  to  span  a  range  of  possibilities. 


RESULTS 

On  the  four  surveys,  852  groups  of  harbor  por- 
poise were  sighted  (an  estimated  1,818  individuals). 
A  distance  of  6,590  km  was  surveyed  during  56 
days.  The  number  of  sightings  per  kilometer  sur- 
veyed varied  geographically  and  these  geographic 
patterns  appeared  to  change  appreciably  between 
cruises  (Fig.  1). 

Sighting  Distributions 

The  number  of  sightings  on  the  inshore  and  off- 
shore sides  of  the  vessels  were  approximately  equiv- 
alent (383  and  392,  respectively).  The  cumulative 
distributions  of  perpendicular  sighting  distances 
were  not  significantly  different  for  these  two  sides 
(P  =  0.06).  Therefore,  sighting  distributions  were 
assumed  to  be  symmetrically  distributed  about  the 
trackline,  and  the  distributions  of  perpendicular 
sighting  distances  from  both  sides  of  the  vessel  were 
pooled  for  subsequent  analyses. 

The  distributions  of  perpendicular  sighting  dis- 
tances for  the  first  three  surveys  were  significant- 
ly different  from  one  another  (P  <  0.01  for  all).  This 
was  probably  the  result  of  the  modifications  in 
survey  methods  between  these  cruises.  Surveys  3 
and  4  used  the  same  methods,  and  sighting  distribu- 
tions were  not  significantly  different  (P  =  0.39). 
Given  that  changes  in  methods  result  in  differences 
in  sighting  distributions,  all  surveys  were  treated 
separately  in  subsequent  analyses. 

Distributions  of  perpendicular  distance  were  not 
significantly  different  between  individuals  sighted 


422 


BARLOW:  SHIP  SURVEYS  OF  HARBOR  PORPOISE 


48° 


46° 


45» 


44* 


43" 


420    . 


41*    - 


40° 


39° 


38* 


37° 


36° 


35° 


34°    - 


33°    - 


32°N 


132°W        131°  130°  129°  128"  127"  126"  125°  124°  123°  122°  121"  120°  119°  118°         117»W 


Figure  2.— Geographic  regions  used  as  strata  in  abundance  estimation.  Broken  line  indicates  the  200  m 

isobath  and  delineates  likely  harbor  porpoise  habitat. 


423 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


alone  (group  size  of  1)  and  larger  groups  (group  size 
of  3  and  greater)  (P  =  0.56). 

Environmental  Conditions  Affecting 
Sightings 

Sighting  efficiency  was  not  significantly  affected 
by  rain,  fog,  or  sun  glare.  Rain/fog  conditions  were 
considered  "poor"  if  rain  or  fog  were  present  within 
5  km  of  the  vessel  and  "good"  if  neither  were  pres- 
ent. The  distributions  of  perpendicular  sighting 
distances  were  not  significantly  different  between 
these  two  strata  (P  =  0.32,  0.44,  0.78,  and  0.64, 
respectively,  for  surveys  1,  2,  3,  and  4),  and  the 
number  of  porpoise  per  kilometer  surveyed  was 
higher  in  the  "poor"  category  for  two  of  the  surveys. 
Sun  glare  from  the  water's  surface  was  considered 
to  contribute  to  "poor"  sighting  conditions  if  the  sun 
was  within  45°  of  the  trackline  in  front  of  the  ship. 
Conditions  were  considered  "good"  when  the  sun 
was  in  other  positions  or  was  obscured  by  clouds. 
As  with  rain/fog  conditions,  the  distributions  of 
perpendicular  sighting  distances  were  not  signifi- 
cantly different  between  these  "good"  and  "poor" 
sun  glare  categories  (P  =  0.87,  0.47,  0.30,  and  0.55, 
respectively,  for  surveys  1,  2,  3,  and  4).  The  number 
of  harbor  porpoise  per  kilometer  surveyed  were 
slightly  higher  in  the  poor  category  for  three  of  the 
surveys.  In  paired  comparisons  when  glare  was  pres- 
ent on  only  one  side  of  the  bow,  approximately  equal 
numbers  of  sightings  were  made  on  the  sides  with 
and  without  glare  (60  vs.  59,  respectively).  All 
categories  of  rain,  fog,  and  glare  are  included  in 
subsequent  analyses. 

Sea  state  did  have  a  significant  effect  on  porpoise 
sightings.  Sea  state  was  categorized  as  calm 
(without  white-caps,  Beaufort  sea  states  0,  1,  and 
2)  or  rough  (with  white-caps,  Beaufort  sea  states  3, 
4,  and  5)  following  the  classification  used  by  Holt 
and  Cologne  (1987).  Distributions  of  perpendicular 
distances  were  not  significantly  different  between 
these  categories  for  any  of  the  surveys  (P  >  0.05); 
however  for  all  surveys  combined,  the  number  of 
harbor  porpoise  detected  per  kilometer  was  much 
lower  during  rough  seas  (0.32  km"^)  than  during 
calm  seas  (1.22  km"^).  There  were  insufficient 
sightings  to  estimate  density  for  rough  seas  separ- 
ately; therefore,  rough  sea  data  were  excluded  in 
subsequent  analyses.  For  all  three  surveys,  the 
numbers  of  harbor  porpoise  detected  per  kilometer 
was  higher  at  Beaufort  0  &  1  than  at  Beaufort  2, 
and  for  survey  3,  the  distributions  of  perpendicular 
sighting  distance  were  significantly  different  be- 
tween these  categories  {P  =  0.03).  Porpoise  density 


is,  therefore,  estimated  separately  for  Beaufort  0 
&  1  and  for  Beaufort  2  conditions.  (For  comparison, 
harbor  porpoise  abundance  was  also  estimated  pool- 
ing Beaufort  sea  states  0,  1,  and  2.  Estimated  abun- 
dance was  approximately  the  same  by  both  methods, 
but  the  variance  was  slightly  lower  using  the 
stratified  sea  state  categories.  For  this  reason,  only 
the  stratified  estimates  are  presented  here.) 

Helicopter  Observations 

Helicopter  observation  of  the  behavior  of  harbor 
porpoise  in  response  to  the  survey  ship  were  made 
on  only  6  groups  of  animals.  Plots  of  vessel  tracks 
and  movements  of  the  groups  are  given  in  the  cruise 
report  (see  footnote  5).  Only  in  one  case  was  a 
distinct  behavioral  change  noted  in  response  to  the 
ship.  In  that  case,  when  the  vessel  was  within  800 
m,  the  group  moved  rapidly,  perpendicular  to  the 
path  of  the  vessel  and  then  parallel  to  and  in  the  op- 
posite direction  of  the  vessel.  Observers  on  the  ship 
saw  this  harbor  porpoise  group  as  they  moved  rapid- 
ly out  of  the  path  of  the  vessel.  Observers  on  the 
ship  also  saw  2  of  the  other  5  groups.  Although  this 
sample  of  behavior  is  small,  movement  in  response 
to  the  survey  vessel  appeared  limited  to  within  1  km 
of  the  vessel  and,  when  it  occurred,  animals  did  not 
travel  far  from  their  original  positions. 

Porpoise  Density 

The  probability  density  distributions  of  perpen- 
dicular sighting  distances  are  shown  in  Figure  3  for 
surveys  1  and  3  and  for  Beaufort  sea  states  0  &  1 
and  2.  The  hazard  rate  model  gave  acceptable  fits 
for  all  sighting  distributions  {P  >  0.1)  when  the  trun- 
cation criteria  was  set  at  400  m  (Table  1).  For  survey 
1,  the  optimum  truncation  points  were  chosen  as  400 
m  for  Beaufort  0  &  1  and  800  m  for  Beaufort  2;  for 
survey  3,  this  distance  was  400  m  for  both  Beaufort 
sea  state  categories.  The  fits  of  these  models  are 
shown  in  Figure  3.  Estimates  of  density  and  stand- 
ard errors  are  given  in  Table  2. 

Depth  Distribution  Model 

The  model  of  harbor  porpoise  depth  distribution 
was  based  on  the  relative  densities  of  harbor  por- 
poise at  different  water  depths.  Ship  survey  data 
were  pooled  into  five  depth  ranges:  18-37  m  (10-20 
fathoms),  37-55  m  (20-30  fathoms),  55-73  m  (30-40 
fathoms),  73-91  m  (40-50  fathoms),  and  91-110  m 
(50-60  fathoms).  Ship  surveys  are  generally  not 
practical  inshore  of  the  18  m  isobath,  but  estimates 


424 


BARLOW:  SHIP  SURVEYS  OF  HARBOR  PORPOISE 
10 


0.0 


0.1  0.2 

PERPENDICULAR  DISTANCE  (km) 


8 

\ 

SURVEY   1,  BEAUFORT  2 

6  - 

\ 

V, 

4  - 

\ 

\ 

2  - 

^ 

0  - 

■ 

0.4         00 
10 


0.4         0.0 


0.2 


0.4 


0.6 


0.8 


SURVEY  3,  BEAUFORT  2 


-I r 

0.1 


0.2 


1 r- 

0.3 


0.4 


PERPENDICULAR  DISTANCE  (km) 


Figure  3.— Probability  density  distributions  for  perpendicular  sighting  distances.  Histograms  indicate  observed  distributions,  and  solid 

lines  indicate  the  best  fit  of  the  hazard  rate  model  to  these  data. 


Table  1  .—Estimated  values  of  the  probability  density  functions 
evaluated  at  zero  perpendicular  distance,  ^(0).  Estimates  are  based 
on  the  hazard  rate  model  and  were  made  for  truncation  distances 
of  400,  800,  1,600,  and  3,200  m.  Estimates  are  given  only  if  the 
model  gave  an  acceptable  fit  to  the  data  (P  >  0.1).  Asterisks  in- 
dicate f(0)  values  with  the  lowest  coefficient  of  variation  (paren- 
theses). 


Survey 


Beaufort 
sea  state 


Truncation  distance 


400  m        800  m       1 ,600  m      3,200  m 


1 
1 
3 
3 


0  &  1 
2 

0  &  1 
2 


7.85  • 

(0.23) 

10.48 
(0.59) 

4.51  • 
(0.22) 

6.97  • 
(0.19) 


5.31 
(0.29) 

8.15  * 
(0.21) 

3.10 
(0.66) 


4.31 
(0.24) 

7.09 
(0.33) 

2.69 
(0.31) 


5.78 
(0.51) 


from  aerial  surveys  (Barlow  et  al.  1988)  show 
roughly  equal  density  at  0.61  and  1.85  km  from  the 
shore  (the  latter  corresponding  approximately  to  the 
18  m  isobath).  Relative  density  from  ship  surveys 
was  measured  in  the  number  of  sightings  per  kilo- 
meter of  searching  effort.  Relative  densities  at 


Table  2.— Density  estimates,  D,  for  harbor  porpoise  (km"^)  along 
the  18  m  isobath  in  each  of  eight  geographic  strata.  Density  was 
calculated  per  Equation  (2),  using  estimates  of  f(0)  (Table  1)  which 
had  the  lowest  coefficients  of  variation.  Values  are  not  adjusted 
for  missed  animals.     Standard  errors  are  in  parentheses. 


Geo- 
graphic 
region 


1 
2 
3 
4 
5 
6 
7 
8 
Total 


Survey  1 


Survey  3 


Beaufort 
0  &  1 


Beaufort 
2 


Beaufort 
0  &  1 


Beaufort 
2 


0.0 
(0.0) 

1.1 
(1.0) 


1.4 
(0.8) 

7.9 
(3.4) 

1.8 
(0.8) 

2.5 
(1.1) 


0.0 
(0.0) 

0.0 
(0.0) 

0.0 
(0.0) 

2.5 
(1.0) 

2.1 
(1.3) 

2.0 

(0.6) 

0.8 
(0.6) 

0.0 
(0.0) 

1.3 
(0.6) 


0.0 
(0.0) 

0.6 
(0.5) 

0.1 
(0.1) 

0.0 
(0.1) 

0.8 
(0.6) 

2.5 
(0.8) 

2.5 
(0.6) 


0.8 
(0.4) 


0.1 
(0.1) 

0.1 
(0.1) 

0.0 
(0.0) 

6.7 
(7.2) 

0.6 
(0.3) 

2.6 
(0.9) 

1.3 
(0.7) 


1.2 
(0.5) 


Pooled 
estimates 


0.04 
(0.02) 

0.51 
(0.30) 

0.03 
(0.03) 

2.83 
(1.69) 

0.91 
(0.32) 

2.22 
(0.40) 

2.64 
(0.78) 

1.09 
(0.45) 

1.33 
(0.30) 


425 


FISHERY  BULLETIN:  VOL.  86.  NO.  3 


18-37  m  show  no  consistent  relationship  to  those 
at  37-55  m  or  55-73  m  (Table  3),  but  on  average 
these  appear  to  be  approximately  equal.  Relative 
densities  at  18-37  m  are,  however,  consistently 
higher  than  densities  at  73-110  m  in  all  areas 
(Table  3).  A  total  of  236  km  were  searched  in  waters 
deeper  than  110  m  and  no  harbor  porpoise  were 
seen. 

Despite  high  variability  in  patterns  of  depth 
distribution  and  lack  of  ship  coverage  in  shallow 
waters,  some  generalizations  can  be  made  about  the 
depth  distribution  of  harbor  porpoise  along  the  west 
coast.  The  relative  abundance  of  harbor  porpoise  ap- 
pears to  be  roughly  constant  from  shore  to  55  m, 
to  be  markedly  lower  at  73-110  m,  and  to  be  very 
low  in  waters  deeper  than  110  m. 

Based  on  the  above  relationships,  I  propose  the 
following  preliminary  model  for  the  depth  distribu- 
tion of  harbor  porpoise  along  the  coasts  of  Califor- 
nia, Oregon,  and  Washington:  constant  abundance 
from  the  coast  to  the  80  m  isobath,  linearly  decreas- 
ing abundance  from  the  80-120  m  isobaths,  and  zero 
abundance  in  waters  deeper  than  120  m  (Fig.  4a). 
Because  considerable  uncertainty  exists  in  this 
model,  I  propose  two  alternative  models  (Fig.  4b, 
c).  Alternative  models  b  and  c  are  less  likely  than 
the  primary  model  given  because  both  conflict  with 
some  of  the  available  data.  The  alternative  models 
do,  however,  encompass  the  likely  range  of  relative 
density  values  and  provide  a  means  to  evaluate  the 


sensitivity  of  the  abundance  estimate  to  different 
models  of  depth  distribution. 

Fraction  of  Missed  Animals 

The  experiment  on  survey  4  indicates  that  some 
trackline  groups  were  seen  by  1  group  of  observers 
and  were  missed  by  the  other.  A  total  of  103  sight- 
ings was  made  by  both  teams,  33  of  which  were 
estimated  to  be  within  100  m  perpendicular  distance 
from  the  transect  line.  Of  the  103  total  sightings, 
85  were  detected  only  by  the  5  principal  observers, 
6  were  detected  only  by  the  3  monitor  observers, 
and  12  were  detected  by  both  teams.  Of  the  33 
trackline  sightings,  20  were  detected  only  by  the 
principal  observers,  3  were  detected  only  by  the 
monitor  observers,  and  10  were  detected  by  both 
teams.  The  Petersen  estimate  of  the  fraction  of 
trackline  porpoise  seen  by  the  primary  team  of  5 
observers  is  thus  0.780  (SE  =  0.117,  95%  C.L.  = 
0.45-0.95).  This  indicates  that  approximately  22% 
of  trackline  sightings  are  missed  by  the  principal 
teams  of  5  observers. 

Porpoise  Abundance 

Estimates  of  porpoise  abundance  in  each  of  the 
eight  geographic  strata  are  given  in  Table  4  for  the 
primary  model  of  offshore  distribution.  Independent 
estimates  are  given  for  survey  1  and  for  survey  3 


Table  3. — Relative  harbor  porpoise  abundance  observed  within  the  specified  depth 
ranges  at  a  variety  of  study  sites.  Relative  abundance  is  measured  as  number 
of  porpoise  sightings  made  per  kilometer.  Numbers  in  parentheses  indicate 
kilometers  surveyed. 


Depth  range 

Location 

18-37  m 

37-55  m 

55-73  m 

73-91  m 

91-110  m 

Central  California' 

0.02 
(89) 

0.08 
(172) 

0.03 
(403) 

0.03 
(279) 

0.01 
(166) 

Gulf  of  the 
Farallones,  CA^ 

0.29 
(181) 

0.00 
(159) 

0.30 
(133) 

0.00 
(7) 

0.00 
(7) 

Fort  Bragg,  CA 

0.05 
(41) 

— 

0.05 
(43) 

— 

0.03 
(35) 

Coquille  Pt,  OR 

0.24 
(43) 

— 

0.35 
(52) 

— 

0.08 
(50) 

Tillamook 
Head,  OR 

0.50 
(57) 

— 

0.12 
(52) 

— 

0.00 
(17) 

Monterey  Bay,  CA 

0.46 
(220) 

0.29 
(76) 

— 

— 

— 

Russian  River,  CA 

0.00 
(26) 

0.30 
(33) 

— 

— 

— 

'Data  taken  from  LaBarr  and  Ainley  (see  text  footnote  8)  assuming  an  average  survey  speed 
of  9  knots. 

^Data  taken  from  Szczepaniak  (see  text  footnote  9)  assuming  an  average  survey  speed  of 
9  knots. 


426 


BARLOW:  SHIP  SURVEYS  OF  HARBOR  PORPOISE 


DEPTH  DISTRIBUTION  MODELS 


2 
18 
16 
14 
12 

1 
0.8 
0.6 
0  4 
0.2 

0 

2 
1.8 
16 
1.4 
1.2 

1 
0.8 
0  6 
0.4 
0.2 

0 


Primary  Model 


5   15  25  35  45  55  65  75  85  95  105  115  125  135  145 


LU 
> 


LU 
CC 


CO 

z 

lU 
Q 

LJJ 
> 
I- 
< 

_J 
UJ 
CC 


CO 

z 

lU 

o 

LU 

> 


LU 
CC 


5   15  25  35  45  55  65  75  85  95  105  115  125  135  145 

WATER  DEPTH  (meters) 

Figure  4.— Proposed  models  for  the  depth  distribution  of  harbor  porpoise  expressed  as  relative  den- 
sities, 4,  within  10  m  depth  intervals.  Density  at  20-30  m  is  assumed  to  be  knowm  and  is  given  a 
relative  value  of  1.  Figures  represent  a)  a  primary  model  of  offshore  distribution,  b)  a  high  estimate 
of  offshore  range,  and    c)  a  low  estimate. 


- 

— 

High  Model 

— 

'      F    "  ' 

1 

5   15  25  35  45  55  65  75  85  95  105  115  125  135  145 


in  each  area.  Both  surveys  show  similar  patterns, 
with  higher  abundances  in  the  northern  strata  (4-8) 
and  very  low  abundance  in  strata  1  and  3.  Despite 
similar  patterns,  differences  between  the  paired 
estimates  are  in  some  cases,  large  and  statistically 
significant  (^tests,  P  <  0.05).  Because  region  8  was 
not  covered  on  the  third  survey,  it  is  not  possible 
to  compare  estimates  of  total  abundance  for  the  en- 
tire coast  between  surveys.  The  total  abundances 
for  regions  1-7  (Point  Conception  to  the  Columbia 


River)  are  46,550  (SE  =  10,932)  animals  and  32,029 
(SE  =  10,906)  animals  for  surveys  1  and  3,  respec- 
tively. The  difference  between  these  estimates  is  not 
statistically  significant  (^test,  P  >  0.05).  Pooling  the 
results  of  the  two  surveys,  the  estimate  of  harbor 
porpoise  abundance  between  Point  Conception  and 
Cape  Flattery  in  September  of  1984  and  1985  is 
45,713  (SE  =  7,865)  animals  (Table  4).  The  same 
estimate  using  the  alternate  models  of  offshore 
distribution  ranges  from  28,769  to  78,019  (Table  5). 


427 


FISHERY  BULLETIN:  VOL.  86,  NO,  3 


Table  4.— Estimated  abundance  of  harbor  porpoise  in  each  of  the 
eight  geographic  strata  based  on  the  primary  model  of  offshore 
distribution.  Estimates  for  Beaufort  0  &  1  and  for  Beaufort  2  were 
computed  separately  and  then  averaged,  weighting  by  transect 
length.  Pooled  estimates  for  the  eight  strata  were  obtained  as  an 
average  of  the  two  surveys,  weighting  by  transect  length.  All  esti- 
mates are  adjusted  for  missed  animals.  Standard  errors  are  in 
parentheses. 


Geographic 
region 


Survey  1 


Survey  3 


Pooled 
estimates 


1 

2 

3 

4 

5 

6 

7 

8 

Totals 
Regions  1-3 

Regions  1-7 

Regions  1-8 


2,401 
(2,180) 

0 

6,909 
(2,959) 

11,245 
(6,943) 

9,061 
(2,724) 

16,934 
(7,097) 

9,808 
(4,311) 

2,401 
(2,180) 

46,550 
(10,932) 

56,358 
(11,751) 


126 
(68) 

932 
(646) 

153 
(158) 

9,096 
(9,855) 

3,296 
(1,410) 

12,786 
(3,676) 

5,641 
(2,424) 


1,210 
(669) 

32,029 
(10,906) 


96 

(52) 

1,459 
(885) 

112 
(116) 

7,909 
(4,784) 

4,806 
(1,745) 

11,107 
(2,363) 

10,416 
(3,311) 

9,808 
(4,311) 

1,667 
(895) 

35,904 
(6,578) 

45,713 
(7,865) 


DISCUSSION 

Distribution 

Harbor  porpoise  are  not  uniformly  distributed 
between  Cape  Flattery  and  Point  Conception.  Al- 
though there  are  no  obvious  discontinuities  within 
this  range,  density  varies  geographically  and  tem- 
porally. The  most  dramatic  temporal  changes  are 
between  the  two  September  surveys  and  the  Janu- 
ary-February survey  (Fig.  1).  The  coasts  of  Wash- 
ington and  northern  Oregon  were  found  to  have 
relatively  high  densities  of  harbor  porpoise  in  Sep- 
tember, but,  despite  excellent  sighting  conditions, 
very  few  porpoise  were  seen  there  in  January.  High 
densities  of  harbor  porpoise  were  also  seen  in 
Monterey  Bay  on  both  September  cruises  and  on 
survey  4  in  May.  This  area  was  intensively  surveyed 
in  February,  and  few  harbor  porpoise  were  seen.  As 
can  be  seen  in  Figure  1,  adjacent  areas  tended  to 
have  similar  densities  within  a  survey.  Less  consis- 
tency is  found  when  the  same  areas  are  compared 
between  different  surveys. 


Table  5.— Estimated  abundance  of  harbor  porpoise  in  central 
California  (regions  1-3)  and  along  the  entire  coast  (regions  1-8) 
based  on  two  alternate  models  of  offshore  distribution.  All 
estimates  are  adjusted  for  missed  animals.  Standard  errors  are 
in  parentheses. 


Survey  1         Survey  3 


Pooled 
estimates 


Alternate  Model  b 
Regions  1-3 

Regions  1-8 

Alternate  Model  c 
Regions  1-3 

Regions  1-8 


3,966 
(3,602) 

95,132 
(19,515) 

1,505 
(1,367) 

35,736 
(7,550) 


1,986 
(1,104) 


770 
(421) 


2,744 
(1,478) 

78,019 
(13,356) 

1,054 
(561) 

28,769 
(4,995) 


The  apparent  changes  in  distribution  could  be 
caused  by  small  changes  in  depth  distributions.  The 
majority  of  survey  effort  was  along  the  18  m  iso- 
bath. A  large  fraction  of  animals  could  be  missed 
if  their  depth  distribution  changed  by  10  m  or  less. 
More  information  on  depth  distributions  is  needed 
before  the  apparent  temporal  changes  in  geographic 
distribution  can  be  interpreted. 

Porpoise  Density 

Estimates  of  harbor  porpoise  density  ranged  from 
0.03  to  2.8  animals/km^  along  transect  lines  in  the 
eight  geographic  regions  (pooled  estimates,  Table 
2).  In  another  study,  Szczepaniak  (fn.  9)  estimated 
0-1.9  porpoise/km^  in  four  study  areas  in  the  Gulf 
of  the  Farallones,  CA.  Taylor  and  Dawson  (1984) 
found  1.2-5.9  porpoise/km-  at  study  sites  in  Glacier 
Bay,  AK.  Flaherty  and  Stark^^  estimated  0.8-1.6 
porpoise/km^  in  Washington  Sound.  Densities  in 
the  present  study  are  therefore  within  the  range  of 
densities  found  in  other  areas  along  the  same  coast. 

Harbor  porpoise  density  was  estimated  for 
California,  Oregon,  and  Washington  based  on  aerial 
surveys  that  were  concurrent  with  the  present  study 
(Barlow  et  al.  1988).  The  overall  estimate  of  harbor 
porpoise  density  from  that  study  (corrected  for 
missed  animals)  was  1.79  porpoise/km^.  The  overall 
estimate  from  the  ship  survey  (1.33  porpoise/km^) 
can  be  corrected  for  missed  animals  to  yield  an 
estimate  of  1.73  porpoise/km^.  Given  that  the  coef- 


I'Flaherty,  C,  and  S.  Stark.  1982.  Harbor  porpoise  {Phocoena 
phocoena)  assessment  in  "Washington  Sound".  Final  Report 
#80-ABA-3584  submitted  to  National  Marine  Mammal  Laboratory, 
National  Marine  Fisheries  Service,  NOAA,  7600  Sand  Point  Way, 
NE,  Seattle,  WA  98115.  84  p. 


428 


BARLOW:  SHIP  SURVEYS  OF  HARBOR  PORPOISE 


ficient  of  variation  in  the  pooled  ship  estimates  is 
nearly  25%,  these  estimates  are  in  very  close  agree- 
ment. However,  because  the  aerial  estimates  are 
based  only  on  the  small  fraction  of  the  coastline  that 
was  surveyed  under  optimal  conditions,  the  ship 
estimates  are  probably  a  better  representation  of 
porpoise  density  for  the  entire  coast. 

Of  the  areas  surveyed,  harbor  porpoise  density  is 
highest  in  northern  California  and  Oregon.  The 
highest  density  was  seen  in  northern  Oregon  (region 
7)  during  survey  1.  The  second  highest  density  was 
observed  in  northern  California  between  Bodega 
Head  and  Cape  Mendocino  (region  4)  on  survey  3. 

Two  areas  in  central  California  (regions  1  and  3) 
were  found  to  have  very  low  densities.  Region  1  in- 
cludes the  Big  Sur  coastline  from  Point  Conception 
to  Point  Sur.  This  area  is  characterized  by  steep 
depth  gradients  and  hence  has  little  habitat  that  is 
suitable  for  harbor  porpoise.  Region  1  was  relatively 
well  covered,  with  378  km  of  trackline  surveyed  at 
Beaufort  sea  states  0-2.  In  contrast,  region  3  in- 
cludes the  Gulf  of  the  Farallons  with  its  broad 
coastal  shelf  within  the  100  m  isobath.  Based  on 
surveys  of  764  km,  Szczepaniak  (fn.  9)  estimated 
1,033  harbor  porpoise  are  found  in  the  Gulf  of  the 
Farallones  alone.  This  is  much  greater  than  my 
estimate  of  112  animals  in  region  3  based  on  only 
175  km  of  survey  effort.  Because  of  his  greater 
amount  of  search  effort  in  this  area,  I  believe  that 
Szczepaniak' s  estimates  for  region  3  are  more  ac- 
curate than  mine.  Although  regions  1  and  3  were 
both  identified  as  low  density  areas,  more  confidence 
can  be  placed  on  this  conclusion  for  region  1  than 
for  region  3. 

Abundance 

The  size  and  behavioral  characteristics  of  harbor 
porpoise  make  estimating  their  abundance  difficult. 
Harbor  porpoise  are  small,  occur  in  groups  of  only 
a  few  individuals,  and  surface  without  conspicuous 
splashes;  their  distribution  is  extremely  patchy. 
Even  v^th  5  observers,  the  effective  path  width  that 
can  be  searched  from  a  ship  is  <1  km,  and  that  path 
width  decreases  very  rapidly  in  rougher  sea  states. 
All  of  these  factors  contribute  to  high  variability  in 
the  abundance  estimates  presented  here.  Seasonal 
and  year-to-year  changes  in  the  distribution  of  har- 
bor porpoise  may  also  contribute  to  the  variability 
seen  within  geographic  strata.  These  are,  however, 
the  best  (and,  for  some  regions,  the  only)  estimates 
of  harbor  porpoise  abundance  for  the  study  area. 

Although  there  are  no  prior  estimates  for  Oregon 
or  Washington  coasts,  Dohl  et  al.  (fn.  4)  estimated 


harbor  porpoise  abundance  in  central  and  northern 
California.  Their  estimates  range  from  3,000  har- 
bor porpoise  in  autumn  to  1,600  in  summer,  which 
correspond  (approximately)  to  the  pooled  estimate 
of  11,457  for  regions  1-4  based  on  the  present  study. 
There  are,  however,  several  problems  with  the  ap- 
plication of  their  methods  to  the  estimation  of  har- 
bor porpoise  abundance.  In  a  direct  comparison  with 
shore  counts,  Kraus  et  al.  (1983)  showed  that 
observers  on  aircraft  saw  only  10-20%  of  harbor 
porpoise  groups.  Dohl  et  al.  (fn.  4)  did  not  apply  a 
correction  to  account  for  harbor  porpoise  groups 
that  are  submerged  at  the  time  the  aircraft  passed. 
Also,  Dohl  et  al.  did  not  stratify  estimates  by 
distance  from  shore  or  depth.  Although  most  of  their 
harbor  porpoise  sightings  were  within  0.5  km  (0.25 
nmi)  of  shore,  their  density  estimates  were  extrap- 
olated to  an  area  extending  166  km  from  the  coast. 
Estimates  from  the  current  study  are  based  on 
better  methodology  than  previous  estimates. 

In  addition  to  exposed  coastal  habitats,  harbor 
porpoise  are  also  found  in  bays  along  the  coasts  of 
California,  Oregon,  and  Washington.  Goetz  (1983) 
reported  that  harbor  porpoise  are  found  throughout 
the  year  in  Humboldt  Bay,  CA.  Harbor  porpoise 
have  been  seen  in  San  Francisco  Bay,  but  are 
described  as  rarely  present^^.  Abundance  of  harbor 
porpoise  in  inland  waters  may,  however,  vary 
seasonally  (Taylor  and  Dawson  1984).  No  estimates 
exist  for  the  total  number  of  harbor  porpoise  in- 
habiting bays.  Survey  effort  in  the  present  study 
was  limited  to  exposed  coastal  areas  (including 
Monterey  Bay,  but  excluding  San  Francisco  Bay, 
Humboldt  Bay,  Coos  Bay,  Yaquina  Bay,  the  mouth 
of  the  Columbia  River,  Willapa  Bay,  and  Grays  Har- 
bor). If  harbor  porpoise  density  in  bays  were  the 
same  as  that  which  was  observed  along  the  18  m 
isobath,  population  sizes  presented  here  could  be  in- 
creased by  approximately  3.1%  to  account  for  por- 
poise inhabiting  900  km"^  (the  approximate  com- 
bined area  of  Humboldt  Bay,  Coos  Bay,  Yaquina 
Bay,  the  mouth  of  the  Columbia  River,  Willapa  Bay, 
and  Grays  Harbor). 

Line  Transect  Assumptions 

Biases  in  abundance  estimates  can  be  an  even 
greater  problem  than  high  variability.  In  the  case 
of  estimates  presented  here,  biases  could  be  intro- 
duced if  the  assumptions  of  line  transect  sampling 


'^Szczepaniak,  I.  D.,  and  M.  A.  VV^ebber.  1985.  Status  of  the 
harbor  porpoise  {Phocoena  phocoena)  in  the  eastern  North  Pacific, 
with  an  emphasis  on  California.  Contract  report  to  the  Center 
for  Environmental  Education,  Washington,  D.C.,  52  p. 


429 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


are  not  met  (Burnham  et  al.  1980;  Hammond  and 
Laake  1983).  Of  these  assumptions,  the  most  rele- 
vant to  this  study  are  1)  the  area  must  be  sampled 
randomly  or  the  animals  must  be  randomly  distrib- 
uted within  the  area;  2)  all  groups  on  the  trackline 
must  be  detected;  and  3)  group  size  must  be  esti- 
mated without  error.  These  assumptions  will  be 
addressed  below. 

To  address  the  first  assumption  (random  distribu- 
tion), cruise  tracks  were  chosen  to  systematically 
cover  the  coast  from  Point  Conception  to  Cape  Flat- 
tery. Because  the  surveys  were  designed  to  cover 
the  entire  longshore  range  of  harbor  porpoise  in  this 
area,  randomly  placed  survey  tracks  were  deemed 
unnecessary.  vVlthough  some  areas  of  the  coast  were 
missed,  these  locations  were  determined  by  weather 
and  were  presumably  not  correlated  with  porpoise 
abundance.  Surveys  were,  however,  limited  to  a 
very  narrow  strip  along  the  18  m  isobath.  Initially, 
the  choice  of  this  survey  track  was  based  on  the 
observation  that,  in  aerial  surveys,  harbor  porpoise 
were  usually  found  within  0.5  km  (0.25  nmi)  of  the 
shoreline  in  California  (Dohl  et  al.  fn.  4).  The  18  m 
isobath  was  simply  the  shallowest  reasonable  work- 
ing depth  for  the  NOAA  survey  ships.  In  the  course 
of  these  surveys,  it  was  found  that  harbor  porpoise 
are  commonly  distributed  much  further  from  the 
coast  than  0.5  km  and  that  one  survey  track  could 
not  adequately  cover  their  habitat.  The  offshore 
distribution  of  harbor  porpoise  is  not  random,  but 
is  related  to  water  depth,  distance  from  shore,  or 
both.  The  model  from  which  I  extrapolated  density 
at  18  m  to  density  at  other  depths  was  based  on  a 
rather  limited  sample  at  a  few  locations  along  the 
coast.  The  assumption  of  random  search  in  offshore 
areas  was  not  met.  Additional  work  is  required  to 
evaluate  the  effect  of  this. 

The  second  assumption  is  that  100%  of  the 
animals  in  the  immediate  vicinity  of  the  trackline 
were  detected.  Animals  near  the  trackline  can  be 
missed  because  they  move  away  from  the  path  of 
the  ship,  because  they  do  not  surface  within  the 
visual  range  of  the  observers,  or  because  the 
observers  fail  to  detect  animals  that  do  surface.  Any 
of  these  would  result  in  a  negative  bias  and  an 
underestimation  of  porpoise  abundance  using  line 
transect  methods.  These  three  problems  are  con- 
sidered in  more  detail. 

West-coast  harbor  porpoise  are  commonly  said  to 
avoid  vessels  (Flaherty  and  Stark  fn.  11;  Szczepa- 
niak  and  Webber  fn.  12)  and  may  be  missed  or  not 
counted  in  the  proper  perpendicular  distance 
category  for  this  reason.  On  the  surveys,  the  major- 
ity of  harbor  porpoise  were  oriented  roughly  parallel 


to  the  ship  at  the  time  they  were  sighted  and  were 
swimming  parallel  to  the  ship  and  in  the  opposite 
direction  (see  footnote  5).  This  was  also  observed 
in  one  instance  from  the  helicopter;  however,  in  that 
case  the  group  first  moved  perpendicular  to  the  path 
of  the  ship.  These  observations  indicate  that  harbor 
porpoise  are  reacting  to  the  ship  before  they  are 
seen  by  observers.  Reaction  to  and  avoidance  of  the 
ship  does  not  necessarily  mean  that  estimates  of 
trackline  density  are  biased  if  animals  are  detected 
before  they  travel  an  appreciable  distance  from  the 
trackline.  In  several  instances,  harbor  porpoise  sur- 
faced within  50  m  of  the  ship  and  directly  in  its  path. 
These  animals  appeared  startled  and  quickly  moved 
to  avoid  the  ship.  In  these  cases,  the  rapid  move- 
ment of  the  animals  and  splashes  associated  with 
that  movement  made  the  animals  more  visible  to 
observers.  Because  avoidance  behavior  may  make 
harbor  porpoise  more  visible  and  because  the 
distributions  of  perpendicular  distance  show  only  a 
single  mode  (at  the  origin),  vessel  avoidance  prob- 
ably does  not  introduce  a  large  bias  in  harbor  por- 
poise abundance  estimation.  More  work  is  needed 
in  this  area. 

Harbor  porpoise  near  the  trackline  may  also  be 
missed  if  they  either  inadvertently  or  intentionally 
do  not  surface  within  the  visual  range  of  the  ob- 
servers. Typical  mean  dive  times  for  harbor  porpoise 
have  been  measured  as  1.5-2.3  minutes  (Glacier 
Bay,  AK;  Taylor  and  Dawson  1984),  1.8  minutes 
(northern  Oregon;  B.  Taylor^^),  and  0.4-1.4  minutes 
(Bay  of  Fundy;  Watson  and  Gaskin  1983).  The  ships' 
speed  during  surveys  was  approximately  18.5  km/h 
or  310  m/min;  thus,  in  2  minutes  the  ship  would 
travel  620  m.  The  average  distance  at  which  animals 
were  first  seen  was  704  m  from  the  ship.  If  in- 
dividual dive  times  were  appreciably  longer  than  2 
minutes,  some  trackline  individuals  would  not  be 
detected  by  observers.  In  data  collected  in  north- 
ern Oregon,  16%  of  dive  times  were  greater  than 
2.5  minutes  (B.  Taylor  fn.  13).  In  addition,  harbor 
porpoise  have  been  reported  to  increase  dive  times 
up  to  7  minutes  in  the  presence  of  boat  traffic 
(Flaherty  and  Stark  fn.  9).  (This  latter  estimate  is 
considerably  longer  than  any  other  published  esti- 
mate, and  it  is  possible  that  those  researchers  missed 
one  or  more  surfacings).  Helicopter  observations  in 
Monterey  Bay  indicated  that  porpoise  groups  did  not 
extend  dive  times  in  the  presence  of  the  survey 
vessel  (see  footnote  5).  This  area  might  not  be  repre- 
sentative, however,  because  harbor  porpoise  may 


''B.  Taylor,  Department  of  Biology,  University  of  California,  San 
Diego,  CA  92093,  pers.  commun.  August  1986. 


430 


BARLOW:  SHIP  SURVEYS  OF  HARBOR  PORPOISE 


be  more  accustomed  to  vessel  traffic  there  than 
along  the  majority  of  the  coast.  It  is  likely  that  some 
harbor  porpoise  are  missed  because  they  do  not  sur- 
face near  the  vessel;  however,  it  is  not  possible  to 
quantify  this  source  of  bias  without  additional  study. 

Trackline  animals  may  be  missed  even  if  they  do 
not  avoid  the  ship  and  do  surface  within  visual  range 
of  the  observers  if  their  surfacing  is  not  detected. 
In  another  study  comparing  ship  surveys  to  aerial 
and  shore  surveys,  Kraus  et  al.  (1983)  found  that 
observers  on  ships  saw  only  about  50%  of  the  har- 
bor porpoise  in  an  area.  In  that  study,  however,  ship 
observers  stood  only  2.5  m  above  the  sea  surface 
(versus  10  m  in  this  study),  and  the  estimate  of  50% 
was  based  on  all  groups,  not  just  on  trackline 
animals.  Based  on  the  experiment  using  monitor 
observers  in  the  present  study,  an  estimated  22% 
of  harbor  porpoise  that  surface  on  the  trackline  are 
missed  by  the  usual  team  of  5  observers.  If  this  is 
underestimated  by  some  percentage,  population  size 
would  be  underestimated  by  the  same  percentage. 

The  third  critical  assumption  is  that  group  size  is 
estimated  without  error.  In  the  case  of  harbor  por- 
poise, group  size  is  small  and  estimates  are  typical- 
ly based  on  actual  counts.  For  tropical  dolphins, 
which  school  in  groups  of  several  hundreds,  the 
problem  of  group  size  estimation  is  more  acute  (Holt 
and  Powers  1982;  Hammond  and  Laake  1983).  Only 
in  two  instances  did  harbor  porpoise  group  size 
exceed  20:  in  Monterey  Bay  and  near  Point  Arena, 
both  in  California.  Excluding  these  two  sightings, 
mean  group  sizes  are  2.05,  2.33,  2.03,  and  1.59  for 
surveys  1,  2,  3,  and  4  (respectively);  including  the 
two  sightings,  means  are  2.30  and  2.26  for  surveys 
1  and  3.  These  values  are  comparable  to  other  esti- 
mates of  mean  group  size  for  coastal  populations  of 
harbor  porpoise:  2.2  based  on  aerial  surveys  in 
California  (Dohl  et  al.  fn.  4),  2.6  based  on  ship 
surveys  in  the  Gulf  of  the  Farallons  (Szczepaniak 
and  Webber  fn.  12),  2.3  based  on  shore  surveys  in 
northern  Oregon  (see  footnote  5),  and  2.75-3.23 
based  on  aerial  surveys  along  California,  Oregon, 
and  Washington  (Barlow  et  al.  1988).  The  consis- 
tency of  all  these  estimates  from  different  platforms 
indicates  that  group  size  estimation  from  ships  is 
not  likely  to  be  a  major  source  of  bias  in  abundance 
estimation. 

Variance  Estimation 

Although  the  estimates  of  standard  error  for 
abundance  and  density  are  very  high,  these  may  still 
be  underestimates  because  the  choice  of  a  trunca- 
tion criterion  was  based  on  minimizing  variance  and 


because  all  possible  sources  of  sampling  errors  were 
not  considered.  The  model  upon  which  relative  abun- 
dance in  the  various  depth  strata  was  based  is  too 
crude  to  allow  reasonable  estimates  of  its  variabil- 
ity. Estimates  based  on  alternate  models  of  depth 
distribution  indicate  that  abundance  estimation  is 
relatively  sensitive  to  the  choice  of  models.  Addi- 
tional field  work  may  help  refine  this  model  and 
allow  estimation  of  variance  for  the  parameters  4 
in  Equation  (4). 

ACKNOWLEDGMENTS 

Surveys  of  this  magnitude  could  not  be  executed 
without  the  help  of  many  people.  I  thank  the  survey 
crews  for  their  many  hours  of  labor:  S.  Beavers, 
P.  Boveng,  S.  Bragg,  S.  Chivers,  S.  Diamond, 
V.  DoUarhide,  J.  Flanders,  B.  Goetz,  S.  Hawes, 
S.  Heimhch-Boran,  A.  Hohn,  S.  Kruse,  S.  Mizroch, 

F.  Mann,  M.  Newcomer,  R.  Rasmussen,  A.  Read, 

A.  Robles,  M.  Scott,  K.  Sechiguchi,  S.  Sexton, 

G.  Silber,  I.  Szczepaniak,  B.  Taylor,  B.  Troutman, 
M.  Webber,  J.  Wexler,  and  K.  Wynne.  The  heli- 
copter  crew   included   R.    Holt,    C.    Oliver,   and 

B.  Taylor.  The  initial  survey  was  planned  in  col- 
laboration with  D.  DeMaster  and  T.  Jackson.  I  thank 
S.  Buckland,  R.  Holt,  and  S.  Sexton  for  aid  in 
analysis  and  interpretation  of  line  transect  data. 
B.  Taylor  provided  unpublished  data  from  shore 
observations  of  harbor  porpoise  in  northern  Oregon. 
Geographic  areas  were  computed  by  K.  Forney. 
R.  Allen  prepared  the  figures  presented  here.  This 
manuscript  was  improved  by  the  critical  reviews  of 
P.  Boveng,  R.  Brownell,  D.  Chapman,  D.  DeMaster, 
S.  Diamond,  D.  Goodman,  D.  Hanan,  A.  Hohn, 
R.  Holt,  J.  Lecky,  S.  Sexton,  G.  Smith,  and 
B.  Taylor. 

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432 


HARBOR  PORPOISE,  PHOCOENA  PHOCOENA, 

ABUNDANCE  ESTIMATION  FOR  CALIFORNIA,  OREGON,  AND 

WASHINGTON:  II.  AERIAL  SURVEYS 


Jay  Barlow,!  Charles  W.  Oliver,^  Terry  D.  Jackson,^  and 
Barbara  L.  Taylor^ 


ABSTRACT 

We  conducted  aerial  surveys  in  September  1984  and  September  and  October  1985  to  determine  the  abun- 
dance of  harbor  porpoise  along  the  coasts  of  California,  Oregon,  and  Washington.  Two  observers  and 
a  recorder  searched  along  predetermined  transect  lines  at  0.61  and  1.85  km  offshore.  Strip  transect 
methods  were  used.  A  total  of  366  groups  of  harbor  porpoise  were  seen  in  the  9,500  linear  kilometers 
that  were  surveyed.  Apparent  density  was  significantly  affected  by  sea  state  and  cloud  cover.  Using 
observations  made  during  optimal  conditions  (clear  skies  and  calm  seas),  apparent  harbor  porpoise  den- 
sity averaged  0.56  animals  km'".  Behavioral  observations  from  shore  and  from  a  helicopter  indicated 
that  porpoise  are  near  the  surface  only  23.9%  of  the  time.  To  account  for  this,  porpoise  density  was 
multiplied  by  a  factor  of  3.2,  resulting  in  an  adjusted  estimate  of  1.79  animals  km"".  Only  a  small  percent- 
age of  the  total  area  inhabited  was  surveyed  under  optimal  sighting  conditions,  hence  density  estimates 
were  not  extrapolated  to  estimate  total  porpoise  abundance.  Harbor  porpoise  density  showed  similar 
patterns  to  those  measured  from  ship  surveys,  and  adjusted  aerial  estimates  are  approximately  equal 
to  ship  estimates. 


Harbor  porpoise,  Phocoena  phocoena,  are  subject  to 
mortality  in  the  halibut  set  net  fishery  in  central 
California  (NMFS^;  Diamond  and  Hanan^).  To  evalu- 
ate the  significance  of  this  mortality,  an  estimate 
of  population  size  is  needed.  Two  aerial  surveys  and 
three  ship  surveys  were  conducted  from  1984  to 
1986  to  gather  information  on  harbor  porpoise  abun- 
dance along  the  coasts  of  California,  Oregon,  and 
Washington.  Observations  were  also  made  from 
shore-based  stations  and  from  a  helicopter  to  pro- 
vide ancillary  information  needed  for  population 
estimation.  Results  and  population  estimates  from 


'Southwest  Fisheries  Center  La  Jolla  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  P.O.  Box  271,  La  Jolla,  CA 
92038. 

^National  Marine  Fisheries  Service,  Southwest  Region,  300 
South  Ferry  Street,  Terminal  Island,  CA  90731;  present  address: 
Pacific  Marine  Center,  NOAA,  1801  Fairview  Avenue  East, 
Seattle,  WA  98102. 

^National  Marine  Fisheries  Service,  National  Marine  Mammal 
Laboratory,  7600  Sand  Point  Way,  N.E.,  Seattle,  WA  98115; 
present  address:  University  of  California,  San  Diego,  Department 
of  Biologj',  La  Jolla,  CA  92093. 

^NMFS.  1980.  A  report  based  on  the  workshop  on  stock 
assessment  and  incidental  take  of  marine  mammals  involved  in 
commercial  fishing  operations.  January  1980.  Available  from 
National  Marine  Fisheries  Service,  National  Marine  Mammal 
Laboratory,  7600  Sand  Point  Way  NE,  Seattle,  WA  98115. 

^Diamond,  S.  L.,  and  D.  A.  Hanan.  1986.  An  estimate  of  har- 
bor porpoise  mortality  in  California  set  net  fisheries:  April  1,  1983 
through  March  31,  1984.  Adm.  Rep.  SWR-86-15,  40  p.  Available 
from  National  Marine  Fisheries  Service,  Southwest  Region,  300 
S.  Ferry  Street,  Terminal  Island,  CA  90731. 


the  ship  surveys  are  reported  by  Barlow  (1988). 
Preliminary  results  from  the  1984  and  1985  aerial 
surveys  were  presented  by  Oliver  and  Jackson^  and 
Oliver^  respectively.  Here  we  present  population 
density  estimates  based  on  the  aerial  surveys  and 
on  shore  and  helicopter  observations. 

The  aerial  surveys  were  flown  in  September  of 
1984  and  in  September  and  October  of  1985  from 
Point  Conception,  CA  to  Cape  Flattery,  WA.  Sur- 
veys were  coordinated  by  the  National  Marine  Fish- 
eries Service  (NMFS)  in  collaboration  with  the 
California  Department  of  Fish  and  Game,  the  Ore- 
gon Department  of  Fish  and  Wildlife,  and  the 
Washington  Department  of  Wildlife.  Survey  design 
was  based  on  information  given  by  Dohl  et  al.^ 
regarding  harbor  porpoise  distribution  in  California. 
They  reported  that  harbor  porpoise  were  usually 


^Oliver,  C.  W.,  and  T.  D.  Jackson.  1987.  Occurrence  and 
distribution  of  marine  mammals  at  sea  from  aerial  surveys  con- 
ducted along  the  U.S.  west  coast  between  December  15,  1980  and 
December  17,  1985.  Adm.  Rep.  LJ-87-19,  189  p.  Available  from 
National  Marine  Fisheries  Service,  Southwest  Fisheries  Center, 
P.O.  Box  271,  La  Jolla,  CA  92038. 

^Oliver,  C.  W.  1986.  Trip  report:  1985  harbor  porpoise  aerial 
survey,  September  9  to  October  15,  1985.  Adm.  Rep.  LJ-86-21, 
29  p.  Available  from  National  Marine  Fisheries  Service,  South- 
west Fisheries  Center,  P.O.  Box  271,  La  Jolla,  CA  92038. 

»Dohl,  T.  P.,  R.  C.  Guess,  M.  L.  Duman,  R.  C.  Helm.  1983. 
Cetaceans  of  central  and  northern  California,  1980-83:  status, 
abundance,  and  distribution.  Report  prepared  for  U.S.  Minerals 
Management  Service,  contract  #14-12-0001-29090. 


Manuscript  accepted  May  1988.  , 

fishery  BULLETIN:  VOL.  86,  NO.  3,  1988.    V//'  ^Yj 


433 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


found  within  0.25  nautical  miles  (nmi)  of  the  shore- 
line. We  therefore  designed  our  aerial  surveys  to 
cover  a  very  narrow  coastal  band.  Subsequent  in- 
formation from  ship  surveys  (Barlow  1988)  has 
shown  their  distribution  to  extend  considerably  far- 
ther from  the  coast.  Therefore,  estimates  of  porpoise 
density  from  aerial  surveys  apply  to  a  relatively 
small  portion  of  harbor  porpoise  habitat.  For  this 
reason  we  do  not  estimate  population  size  by  ex- 
trapolating aerial  density  estimates  to  the  entire 
area  inhabited.  The  density  estimates  presented 
here  are  used  to  corroborate  estimates  based  on  ship 
surveys  and  to  estimate  density  for  areas  that  were 
too  shallow  to  be  surveyed  by  ship. 

Based  on  previous  studies  of  dive  times  (Watson 
and  Gaskin  1983;  Taylor  and  Dawson  1984)  we  ex- 
pected a  proportion  of  the  harbor  porpoise  to  be 
diving  and  therefore  missed  by  aerial  observers. 
Shore-based  studies  were  conducted  in  September 

1985  from  cliffs  in  northern  Oregon  to  determine 
average  dive  times  for  west-coast  harbor  porpoise. 
Helicopter  observations  were  made  in  April  and  May 

1986  in  Monterey  Bay  and  near  Bodega  Head,  CA 
to  gather  dive  time  information  and  obtain  a  direct 
measure  of  the  fraction  of  time  that  harbor  porpoise 
groups  are  visible  from  the  air.  These  two  samples 
did  not  differ  significantly  from  previous  samples 
of  harbor  porpoise  in  Alaska,  so  all  samples  were 
pooled  to  adjust  estimates  of  porpoise  density  from 
aerial  surveys  to  account  for  the  probability  of  miss- 
ing submerged  animals. 

METHODS 

Aerial  Survey  Methods 

Strip  transect  methodology  (Seber  1973)  was  used 
during  the  aerial  surveys.  This  method  assumes  that 
all  individuals  within  a  transect  strip  are  detected. 
Transect  lines  were  flown  parallel  to  the  coast  line 
at  distances  of  0.61  and  1.85  km  (0.33  and  1.0  nmi) 
offshore.  Transect  strips  of  equal  width  were  sur- 
veyed on  both  sides  of  the  aircraft.  The  margins  of 
the  strips  were  denoted  by  tape  marks  or  streamers 
on  the  wing  struts.  Strips  were  divided  into  inside 
and  outside  swaths  of  unequal  width  (Fig.  1)  by  a 
third  tape  mark  or  streamer  between  the  other  two. 
When  porpoise  were  sighted  within  the  transect 
strip,  the  pilot  was  directed  to  leave  the  transect 
line  and  circle  over  the  porpoise  to  obtain  an  ac- 
curate count  of  the  number  within  the  original  group 
that  was  sighted.  If  additional  groups  or  individuals 
were  sighted  during  this  circling,  they  were  ex- 
cluded from  density  estimates.  Porpoise  density,  x, 


was  calculated  as  the  number  of  individuals  sighted 
within  a  transect,  n,  divided  by  the  product  of  the 
transect  width,  w,  times  the  distance,  d,  that  was 
flown: 


X  =  n/iW  ■  d) 


(1) 


We  used  both  single  and  twin-propeller,  high- 
wing,  4-passenger  aircraft  in  our  surveys.  The 
search  team  consisted  of  two  observers  seated  in  the 
right  and  left  passenger  seats.  A  data  recorder  sat 
in  the  copilot's  seat  and  did  not  search.  If  the 
recorder  sighted  animals  that  were  missed  by  the 
observers,  these  were  noted  but  were  not  included 
in  density  estimates.  The  planes  were  flown  at  an 
altitude  of  213  m  (700  feet)  and  at  an  airspeed  of 
158-167  km/h  (85-90  knots).  The  original  survey 
plan  called  for  all  sections  of  the  coast  to  be  covered 
twice  on  each  survey.  This  was  accomplished  in 
1984,  but  poor  weather  in  1985  resulted  in  the 
Washington  coast  and  part  of  the  Oregon  coast  be- 
ing covered  only  once.  The  dates  flown  and  areas 
covered  are  given  in  Table  1. 


Table  1.— Dates,  areas  covered,  and  observer  teams  during 
aerial  surveys  for  harbor  porpoise.  Geographic  regions  refer 
to  those  shown  in  Figure  2.  Observer  team  refers  to  a  pair  of 
individuals. 


Regions 

Observer 

Distance 

Date 

covered 

team 

to  shore  (km) 

9/09/84 

7,8 

A 

0.61 

9/10/84 

5,7 

A 

0.61 

9/11/84 

5,6 

A 

0.61 

9/1 3/84 

1,2,3,4,5 

B 

0.61 

9/14/84 

1,2,3,4,5 

B 

0.61 

9/17/84 

1,2,3,4 

B 

0.61 

9/18/84 

1,2,3,4 

B 

0.61 

9/11/85 

6,7 

C 

0.61 

9/16/85 

1,2,3 

D 

0.61 

9/17/85 

4 

D 

0.61 

9/18/85 

4,5 

D 

0.61,1.85 

9/1 9/85 

4,5 

D 

0.61,1.85 

9/20/85 

2,3 

D 

1.85 

10/04/85 

7,8 

E 

0.61 

10/14/85 

1,2,3 

D 

1.85 

10/15/85 

4,5 

D 

1.85 

Data  gathered  on  both  the  1984  and  1985  surveys 
were  similar  in  format.  Recorded  data  on  sighting 
conditions  included  Beaufort  sea  state,  a  measure 
of  cloud  cover,  a  code  indicating  the  presence  of  haze 
or  fog,  sun  position  relative  to  the  aircraft,  and  a 
subjective  measure  of  the  observers'  ability  to  see 
into  the  water  through  turbidity,  surface  reflection 
and  diffraction.  The  latter  was  called  surface  pene- 
tration and  was  recorded  separately  for  each  of  the 


434 


BARLOW  ET  AL.:  AERIAL  SURVEYS  OF  HARBOR  PORPOISE 


STRIP  TRANSECT 


300      400 
DISTANCE  (meters) 


500 


600 


700 


E 

CO 

o 

H 


\     Inside 
\       Swatt 

\.  c 

1      ^ 

)utsi( 

vath 

--. 

1985 

\  '-y/yy/y//. 

•I-;-;-;-!-;-!";'! 

Wk 

|------^-N ^ 1 

100      200      300      400 

DISTANCE  (meters) 


500 


600 


700 


Figure  1.— Configuration  of  transect  strip  widths  and  distributions  of  perpendicular  sighting  distances  for  aerial 
surveys  in  1984  and  1985.  Angles  are  given  as  declinations  from  horizontal.  Histograms  indicate  the  relative  number 
of  porpoise  seen  in  the  given  distance  interval. 


four  swaths  (inside  and  outside  on  both  sides  of  the 
aircraft).  In  severe  sun  glare  conditions,  searching 
was  discontinued  for  one  or  both  swaths  on  one  side 
of  the  aircraft.  Additional  data  included  individual 
observer  numbers,  date,  time,  and  position  (meas- 
ured to  lOths  of  minutes  of  latitude  and  longitude). 
All  of  these  data  were  recorded  at  the  beginning  and 
end  of  continuous  transects  and  whenever  condi- 
tions changed  or  a  sighting  was  made.  Additional 
data  were  recorded  for  marine  mammal  sightings, 
including  a  code  for  the  species  of  animal  seen,  an 
estimate  of  the  number  of  individuals,  a  code  in- 
dicating on  which  side  of  the  aircraft  the  animals 
were  seen,  and  a  code  indicating  in  which  of  the 
swaths  the  animals  were  found  (inside,  outside,  or, 
if  the  animals  were  not  within  the  designated  strips, 
neither). 

An  attempt  was  made  to  gather  the  above  infor- 
mation in  a  similar  manner  for  both  surveys.  Some 


differences  in  subjective  measures  of  sighting  con- 
ditions could,  however,  be  expected  because  there 
was  no  overlap  in  observers  between  years.  In  addi- 
tion, there  were  some  differences  in  design  between 
the  1984  and  1985  surveys.  In  1984,  the  inside  and 
outside  swaths  were  from  123  to  305  m  and  from 
305  to  620  m,  respectively  (as  measured  from  the 
midline  of  the  transect).  The  margins  of  these 
swaths  corresponded  to  declinations  angles  of  19°, 
35°,  and  60°  (Fig.  1).  In  1985,  the  swaths  were 
91-294  m  and  294-503  m  and  corresponded  to 
declination  angles  of  23°,  36°,  and  67°  (Fig.  1).  In 
1984,  effort  was  concentrated  on  the  inside  swath 
and  the  outside  swath  was  not  intended  for  abun- 
dance estimation.  The  change  in  swath  size  was  in- 
tended to  reduce  the  total  area  being  searched,  thus 
potentially  allowing  the  outer  swath  to  be  used  for 
density  estimation.  In  1985,  effort  was  divided 
equally  between  the  two  swaths.  During  the  1985 


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FISHERY  BULLETIN:  VOL.  86,  NO.  3 


surveys  the  declination  angle  to  marine  mammals 
was  measured  when  the  animals  were  perpendicular 
to  the  aircraft  using  hand-held  inclinometers. 
Declination  angles  were  not  measured  during  the 
1984  survey. 

Distance  to  the  coast  was  monitored  using 
declination  angles  (19°  for  0.61  km  and  6°  for  1.85 
km).  On  the  1984  survey,  this  distance  was  0.61 
km  for  the  entire  survey.  During  the  1985  survey, 
we  surveyed  at  both  0.61  and  1.85  km  from  the 
coast.  In  1984,  the  coast  was  taken  to  be  the  outer 
limit  of  the  surf  zone.  In  1985,  the  coast  was  taken 
to  be  the  outer  limit  of  the  surf  zone  or,  if  kelp 
beds  were  present,  the  outer  margin  of  those 
beds. 

Shore  Observation  Methods 

Observations  of  harbor  porpoise  diving  behavior 
were  made  from  rocky  headlands  in  northern  Ore- 
gon (Tillamook  Head,  Neahkahnie  Mountain,  Cape 
Meares,  and  Cape  Lookout)  immediately  before  the 
second  aerial  survey  (7-11  September  1985).  Ob- 
servers were  equipped  with  7  x  50  binoculars  with 
compasses  and  ocular  reticles  and  a  single  20  x  120 
binocular.  Ventilation  data  were  collected  whenever 
possible  and  included  the  number  of  animals  at  the 
surface  and  the  length  of  time  spent  at  the  surface. 
Observations  were  recited  aloud  by  the  observer  and 
were  written  down  by  a  second  person  or  were 
recorded  onto  magnetic  tape.  The  ventilation  cycle 
typically  consisted  of  a  period  with  several  surfacing 
rolls  and  breaths  (which  we  call  a  surfacing  series) 
followed  by  a  much  longer  period  of  submergence 
(which  we  call  a  dive).  This  dive  cycle  corresponds 
to  ventilation  pattern  B  as  described  by  Watson  and 
Gaskin  (1983)  for  harbor  porpoise  in  the  Bay  of 
Fundy  and  the  pattern  described  by  Taylor  and 
Dawson  (1984)  for  porpoise  in  Glacier  Bay. 

Helicopter  Observation  Methods 

Behavioral  observations  were  also  made  by  three 
observers  in  a  4-passenger,  jet-turbine  helicopter. 
Upon  locating  a  group  of  harbor  porpoise,  a  fluores- 
cein dye  marker  was  dropped  and  the  helicopter 
hovered  or  circled  slowly  above  the  group  at  an 
altitude  of  approximately  300  m.  The  number  of 
animals,  the  time  they  were  visible  at  the  surface, 
and  the  dive  times  were  recorded,  along  with  infor- 
mation on  cloud  cover,  sea  state,  and  water  turbid- 
ity. Each  behavioral  session  was  given  a  subjective 
rating  based  on  how  well  the  observers  could  follow 
the  group  and  obtain  accurate  dive  times.  Only  ses- 


sions with  good  or  excellent  ratings  were  included 
in  analyses. 

Probability  of 
Missing  Submerged  Animals 

Given  that  a  porpoise  would  be  within  the  visual 
range  of  an  observer,  the  probability  that  it  will  be 
at  the  surface  during  the  passage  of  the  aircraft  is 
related  to  the  average  time  it  spends  at  the  surface, 
s,  the  average  time  spent  below  the  surface,  d,  and 
the  window  of  time  during  which  it  is  within  the 
visual  range  of  an  observer,  t.  This  probability  was 
calculated  as 


Pr  (being  visible) 


s  -I-  t 
s  +  d 


(2) 


The  probability  of  missing  a  submerged  animal  is 
equal  to  the  complement  of  this  value. 

Density  Estimation 

Density  of  harbor  porpoise  was  estimated  as  the 
number  of  animals  seen  divided  by  the  area  searched 
(Equation  (1)).  This  raw  density  estimate  was  ad- 
justed by  dividing  by  the  probability  that  an  animal 
would  be  visible  from  the  air  at  any  given  instant 
(Equation  (2)).  The  area  searched  was  estimated  as 
the  swath  widths  times  the  lengths  of  the  transects. 
Transect  lengths  were  calculated  as  the  sum  of  the 
great  circle  distances  between  successive  position 
fixes.  Densities  were  calculated  for  each  of  the  eight 
statistical  regions  used  by  Barlow  (1988)  (Fig.  2). 

The  statistical  difference  in  harbor  porpoise 
density  between  different  sighting  conditions  or 
different  areas  was  tested  using  the  raw  density 
estimates.  Density  estimates  for  short  transects 
were  frequently  zero,  thus  violating  the  parametric 
assumptions  of  normally  distributed,  homoscedastic 
error.  Nonparametric  tests  were  therefore  chosen 
for  density  comparisons.  In  discussing  statistical 
tests,  a  transect  segment  refers  to  the  length  of 
transect  line  between  two  successive  position  fixes 
and  are  typically  <20  km.  The  measured  variables 
relating  to  sighting  conditions  are  constant  within 
a  segment,  and  because  each  sighting  is  accom- 
panied by  a  new  position  fix,  a  segment  will  contain 
at  most,  one  sighting. 

Whenever  applicable,  the  Wilcoxon  paired-sample 
test  (Wilcoxon  1945)  was  used  to  test  one  factor 
while  controlling  for  as  many  other  factors  as  possi- 
ble. Ten  paired  measures  of  density  were  created 


436 


BARLOW  ET  AL.:  AERIAL  SURVEYS  OF  HARBOR  PORPOISE 


49°N 


48° 


47° 


46° 


43° 


-T — \ 1    ^-y 


40° 


38° 


37° 


36° 


35° 


32^ 


-l_ 


REGION 


REGION 


REGION 


REGION 


REGION  4 


REGION  3 


_i_ 


UNITED  STATES 


Bodega  Head 

San  Francisco 


REGION  2 


REGION  1 


Point  Sur 


\  i    Point  Conception 


\?^pa 


_i_ 


132°W        131°  130°  129°  128°  127°  126°  125°  124°  123°  122°  121°  120°  119°  118°        117°W 


Figure  2.— Geographic  regions  used  as  strata  in  density  estimation. 


by  adding  all  appropriate  transect  segments  to  a 
linear  array  and  dividing  that  array  into  10  equal 
parts. 

When  paired  tests  were  not  applicable,  nonpara- 
metric  ANOVA  models  were  used.  For  simple  com- 
parisons, the  Kruskal-Wallis  single-factor  analysis 


of  variance  was  used  (Kruskal  and  Wallis  1952).  For 
two-way  comparisons,  we  used  a  two-factor  exten- 
sion of  the  Kruskal-Wallis  test  (Scheirer  et  al.  1976). 
For  both  tests,  three  replicate  measures  of  density 
were  created  for  each  cell  by  randomly  assigning 
transect  segments  as  replicate  1,  2,  or  3. 


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FISHERY  BULLETIN:  VOL.  86,  NO.  3 


A  principal  assumption  of  strip  transect  methods 
is  that  all  individuals  within  the  designated  strip  are 
counted.  Assuming  that  the  fraction  of  diving 
animals  does  not  vary  with  sighting  conditions,  any 
effect  of  sighting  conditions  on  apparent  density  is 
likely  due  to  missed  animals.  In  any  instance  where 
we  show  that  poorer  sighting  conditions  result  in 
a  significant  decrease  in  apparent  density  (one-tailed 
for  paired  tests,  tw^o-tailed  for  ANOVA  tests),  we 
eliminate  the  category  of  sighting  conditions  which 
resulted  in  that  lower  estimate.  If  it  is  not  possible 
to  predict  which  category  would  be  worse  a  priori 
in  paired  tests  (e.g.,  right  swath  vs.  left),  two-tailed 
probabilities  are  used.  Although  we  cannot  be  sure 
of  eliminating  all  biases  using  these  methods,  this 
pattern  of  data  paring  should  avoid  much  of  the  bias 
due  to  missed  animals. 

RESULTS 

In  1984,  247  groups  of  harbor  porpoise  (680  in- 
dividuals) were  seen  within  transect  strips  which 
covered  a  linear  distance  of  5,763  km.  In  1985,  we 
saw  119  groups  (384  individuals)  in  surveys  of  3,715 
km.  Mean  group  sizes  were  2.75  and  3.23  in- 
dividuals, respectively,  for  1984  and  1985.  For  1984, 
the  relative  frequencies  of  individuals  seen  within 
the  inside  and  outside  swaths  are  illustrated  in 
Figure  1.  For  1985,  the  perpendicular  distances 
from  the  trackline  to  the  animals  were  calculated 
from  declination  angles,  and  the  relative  distribu- 
tion of  sightings  is  shown  in  Figure  1  as  a  function 
of  perpendicular  distance. 

Inside  vs.  Outside  Swath 

For  1984  data,  only  the  inside  swaths  were  used, 
but  for  1985  both  inside  and  outside  swaths  were 
considered  for  density  estimation.  For  1985,  we 
tested  whether  the  density  in  the  inside  swaths  was 
greater  than  the  density  of  the  outside  swaths.  We 
only  considered  cases  when  the  water  surface  pene- 
tration codes  were  equal  in  both  the  inside  and  out- 
side swaths.  Data  for  inside  and  outside  were  thus 
paired,  with  all  other  sighting  factors  equal.  For 
1985,  the  density  in  the  inside  was  greater  (0.09  vs. 
0.06  porpoise/km^),  but  this  difference  was  not 
significant  (P  >  0.10). 

Surface  Penetration 

Observers  used  a  subjective  coding  system  to 
describe  their  ability  to  see  through  the  sea  surface. 
Cloud  cover,  haze,  and  water  turbidity  contributed 


to  poor  surface  penetration.  In  1984,  observers  used 
codes  to  indicate  good  and  poor  conditions;  in  1985, 
observers  used  codes  for  excellent,  good,  and  poor. 
There  were  frequent  cases  when  observers  recorded 
different  codes  for  the  inside  swaths  on  opposite 
sides  of  the  plane;  hence,  paired  tests  were  again 
appropriate.  For  1984,  we  tested  whether  density 
in  the  "good"  category  was  higher  than  density  in 
the  "poor"  category.  When  surface  penetration  was 
different  in  the  inside  swaths  on  opposite  sides  of 
the  plane,  mean  density  in  the  "good"  category  was 
higher  than  in  the  "poor"  category  (0.16  vs.  0.12 
porpoise/km^),  but  this  difference  was  not  signifi- 
cant (P  >  0.25).  For  1985,  no  tests  were  necessary 
because  the  mean  density  in  "excellent"  category 
was  lower  than  in  the  "good"  category,  and  like- 
wise, density  in  the  "good"  was  lower  than  in  the 
"poor"  category.  All  categories  of  water  surface 
penetration  were  included  in  subsequent  analyses. 


Effects  Due  to  Observers  and 
Side  of  the  Plane 

Sightings  were  classified  based  on  which  observer 
made  the  sighting  and  on  whether  the  sighting  was 
on  the  inshore  or  offshore  side  of  the  aircraft.  In 
fact,  these  two  classifications  were  confounded  in 
1985  because  the  two  principal  observers  were  sit- 
uated on  the  same  sides  of  the  aircraft  for  most  of 
this  survey.  Effects  of  these  classifications  on  den- 
sity estimation  were  considered  together.  Survey 
teams  were  defined  as  pairs  of  observers  who 
worked  together.  There  were  two  such  teams  for 
1984  and  three  for  1985  (Table  1).  Only  one  of  the 
teams  in  1985  had  sufficient  numbers  of  sightings 
to  be  considered  here.  Statistical  tests  were  based 
on  paired  cases  during  which  both  members  of  the 
sighting  team  were  searching. 

For  1984,  porpoise  density  on  the  offshore  side 
of  the  airplanes  was  greater  than  on  the  inshore  side 
for  both  team  A  and  team  B  (Table  2).  The  differ- 
ence in  density  estimates  between  observers  was 
less  than  the  difference  between  inshore  and  off- 


Table  2.— Relative  harbor  porpoise  densities  (km"^)  for  teams 
of  observers.  Density  estimates  are  stratified  by  inshore  and 
offshore  sides  of  the  aircraft  and  by  individual  observers. 


Observer 
team 


Inshore       Offshore 


Observer 
1 


Observer 
2 


A 
B 
D 


0.275 
0.168 
0.281 


0.425 
0.244 
0.164 


0.320 
0.232 
0.300 


0.380 
0.179 
0.146 


438 


BARLOW  ET  AL.:  AERIAL  SURVEYS  OF  HARBOR  PORPOISE 


shore  (Table  2),  and  neither  was  statistically  signif- 
icant. For  1985,  the  opposite  was  seen;  the  density 
on  the  inshore  side  was  greater  than  on  the  offshore 
side  and  this  difference  was  less  than  the  difference 
between  observers  (Table  2),  but  again,  neither  dif- 
ference was  statistically  significant.  In  1984,  both 
observers  had  previous  experience  doing  aerial 
surveys,  but  in  1985,  the  observer  with  the  lower 
density  estimates  had  no  previous  experience  in 
cetacean  surveys.  Experience  may  be  a  factor  in 
density  estimates  from  strip  transects,  but  since  the 
inexperienced  observer  was  always  on  the  same  side 
of  the  plane,  it  was  not  possible  to  test  this  with  a 
factorial  design. 

Area  and  Sea  State 

Analysis  of  research  vessel  data  (Barlow  1988)  in- 
dicated two  geographic  regions  in  California  with 
low  porpoise  density  (regions  1  and  3  in  Figure  2). 
We  tested  whether  density  observed  from  aircraft 
are  also  lower  in  these  areas.  Because  observation 
conditions  may  have  differed  in  the  two  areas,  we 
included  sea  state  as  a  second  factor  in  a  two-way 
ANOVA.  Mean  values  are  presented  in  Table  3.  For 
1984,  three  categories  of  sea  state  were  used: 
Beaufort  0  &  1,  Beaufort  2,  and  Beaufort  3  and 
greater.  The  effect  due  to  area  was  significant  (P 
<  0.001),  with  the  area  that  showed  low  density  in 
the  ship  surveys  also  showing  lower  density  in  the 
aerial  survey.  For  1985,  only  the  first  two  categories 
of  sea  state  were  used  due  to  insufficient  data  at 
Beaufort  3  and  greater.  Again  the  effect  of  area  was 
significant  (P  <  0.025),  and  the  same  trends  were 
seen.  In  neither  case  were  the  effects  of  sea  state 


Table  3. — Uncorrected  harbor  porpoise  densities  (km'  )  for 
the  two-way  comparison  of  area  and  sea  state.  Low-density 
areas  refer  to  two  regions  in  California  that  were  found  to  have 
much  lower  than  average  density  in  previous  ship  surveys  (see 
text).  High-density  areas  include  all  other  regions.  Only  inside 
swaths  were  included.  Numbers  in  parentheses  refer  to  area 
(km^)  surveyed  under  the  given  condition.  Densities  in 
brackets  were  excluded  from  two-way  comparisons  due  to  the 
small  area  covered  in  one  cell. 


1984 

survey 

1985 

survey 

Beaufort 
sea  state 

Low- 
density 
area 

High- 
density 
area 

Low- 
density 
area 

High- 
density 
area 

0  &  1 

0.027 
(183) 

0.579 
(264) 

0.089 
(124) 

0.762 
(126) 

2 

0.081 
(308) 

0.312 
(1012) 

0.089 
(214) 

0.183 
(425) 

3-1- 

0.102 
(79) 

0.191 
(252) 

[0.000] 
(28) 

[0.049] 
(566) 

or  the  interaction  effects  significant.  To  eliminate 
area  effects  from  confounding  statistical  results, 
only  data  for  the  larger,  high-density  area  were  in- 
cluded in  subsequent  tests.  The  low-density  area  was 
included  in  later  estimates  of  overall  harbor  porpoise 
density. 

Sea  State  and  Cloud  Cover 

Both  sea  state  and  cloud  cover  can  affect  sighting 
conditions.  Because  both  are  affected  by  local 
weather,  the  effects  of  these  are  likely  to  be  con- 
founded. These  two  factors  were  therefore  tested 
simultaneously  in  a  two-way  ANOVA.  We  con- 
sidered only  the  inside  swath  and  excluded  the 
two  low-density  regions.  We  used  the  same  sea 
state  categories  as  above.  The  sky  was  categorized 
as  clear  if  cloud  cover  was  <25%  and  cloudy  if 
>25%.  Mean  porpoise  densities  for  each  category 
are  given  in  Table  4.  It  was  necessary  to  exclude 
the  Beaufort  0  &  1  category  for  1985  because  only 
52  km  were  surveyed  in  cloudy  conditions  for  these 
sea  states.  The  effect  due  to  cloud  cover  was  signifi- 
cant for  1984  (P  <  0.025)  and  1985  (P  <  0.05).  The 
effect  of  sea  state  and  the  interaction  effect  of 
sea  state  and  cloud  cover  were  not  significant  for 
either  survey  (P  >  0.10).  Transect  segments  with 
>25%  cloud  cover  were  excluded  from  subsequent 
analyses. 


Table  4. — Uncorrected  harbor  porpoise  densities  (km"^) 
for  the  two-way  comparison  of  sea  state  and  cloud  cover. 
Clear  refers  to  <25%  cloud  cover,  and  cloudy  refers  to 
>25%.  Data  include  only  inside  swaths  in  high-density 
areas.  Numbers  in  parentheses  refer  to  area  (km^)  sur- 
veyed under  the  given  condition.  Densities  in  brackets  were 
excluded  from  two-way  comparisons  due  to  the  small  area 
covered  in  one  cell. 


Beaufort 
sea  state 

1984 

survey 

1985 

survey 

Clear 

Cloudy 

Clear 

Cloudy 

0&  1 

1.340 
(81) 

0.240 

(183) 

[0.832] 

(115) 

[0.000] 
(11) 

2 

0.371 
(572) 

0.236 
(440) 

0.271 
(232) 

0.078 
(193) 

3  + 

0.266 
(162) 

0.056 
(90) 

0.088 
(272) 

0.014 
(294) 

Sea  State 

The  effect  of  sea  state  was  tested  alone  using  only 
the  transect  segments  which  occurred  under  clear 
skies  (<25%  cloud  cover)  and  within  the  high-density 
areas.  For  1984,  only  the  inside  swath  was  included. 


439 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


For  1985,  both  inside  and  outside  swaths  were  in- 
cluded. As  in  previous  stratifications,  apparent  den- 
sity clearly  decreased  with  increasing  sea  state 
(Table  5).  This  effect  was  significant  for  surveys  in 
both  1984  (P  <  0.05)  and  1985  (P  <  0.005).  Transect 
segments  surveyed  during  sea  states  of  2  or  greater 
were  excluded  in  subsequent  analyses. 


•Uncorrected  harbor  porpoise  den- 
^)  for  the  stratification  based  on  sea 


Table  5.- 
sities  (km 

state.  Data  include  only  high-density  areas  sur- 
veyed when  cloud  cover  was  <25%.  Data  for 
1984  include  inside  swaths  only;  data  for  1985 
include  inside  and  outside  swaths.  Numbers  in 
parentheses  refer  to  area  (km^)  surveyed 
under  the  given  condition. 


Beaufort 

sea  state 

1984  survey 

1985  survey 

0  &  1 

1.340 

0.807 

(81) 

(234) 

2 

0.371 

0.193 

(572) 

(471) 

3  + 

0.266 

0.058 

(162) 

(553) 

Between  Survey  Differences 

We  considered  the  1984  survey  and  the  1985 
surveys  at  0.61  km  and  1.85  km  from  shore  as  three 
independent  estimates  of  harbor  porpoise  density. 
Because  apparent  density  was  shown  to  vary  greatly 
with  sighting  conditions  and  because  sighting  con- 
ditions varied  between  surveys,  it  was  necessary  to 
compare  these  three  under  similar  conditions. 

The  highest  (and  presumably  least  biased)  den- 
sities were  obtained  when  sea  state  was  Beaufort 
0  &  1  and  when  cloud  cover  was  <25%.  Between 
survey  comparisons  imder  these  conditions  are  given 
in  Table  6  for  the  eight  geographic  regions  given 
in  Figure  2.  For  1985,  there  were  no  transect 
segments  at  0.61  km  from  shore  under  the  condi- 
tions Beaufort  0  &  1  and  clear  skies.  For  1984,  only 
three  regions  contained  more  than  10  km-  of 
searching  effort  at  0.61  km  from  shore.  For  1985, 
only  four  areas  had  any  searching  effort  at  1.85  km 
from  shore.  The  only  direct  density  comparisons 
with  reasonable  sample  sizes  are  for  region  1  (0.000 
vs.  0.048  porpoise/km^)  and  region  3  (0.111  vs. 
0.110  porpoise/km^)  (respectively  for  1984  and 
1985).  The  densities  for  all  regions  pooled  (0.671  and 
0.510  porpoise/km^)  are  similar,  but  because  of  the 
small  sample  size  and  geographic  variation  in  sam- 
pling, a  statistical  test  of  this  difference  is  mean- 
ingless. 


In  comparing  surveys,  sample  size  and  regional 
coverage  improved  slightly  when  Beaufort  2  was 
considered  (still  allowing  a  maximum  of  25%  cloud 
cover)  (Table  7).  For  1984,  coverage  was  relatively 
complete  in  all  regions.  For  1985,  coverage  at  0.61 
km  from  shore  was  limited  to  regions  2-4,  and 
coverage  at  1.85  km  was  limited  to  regions  1-5. 
Comparing  the  two  surveys  in  1985,  distance  from 
shore  made  little  difference  in  overall  density  for 
all  regions  combined,  and  neither  survey  had  con- 
sistently higher  values  than  the  other.  Comparing 
the  1984  survey  to  the  two  1985  surveys,  the  former 
had  a  higher  overall  density  for  all  regions  combined, 
but  again  this  difference  was  not  consistent  among 
regions.  Sample  size  and  regional  coverage  were 
again  too  poor  for  meaningful  statistical  tests. 


Table  6.— Uncorrected  harbor  porpoise  densities  (km"^)  in 
eight  geographic  regions  surveyed  during  Beaufort  0  &  1  con- 
ditions. Data  for  1984  are  based  on  inside  swaths  of  transects 
flown  0.61  km  from  the  coast.  Data  for  1985  are  based  on  in- 
side and  outside  swaths  of  transects  flown  at  0.61  and  1.85 
km  from  the  coast.  Only  those  segments  surveyed  when  cloud 
cover  was  <25%  are  included.  Numbers  in  parentheses  refer 
to  area  (km^)  surveyed  under  the  given  condition. 


Geographic 
region 

1984  survey 
density 
0.61  km 

1985  survey 
density 
0.61  km 

1985  survey 
density 
1.85  km 

1 

0.000 



0.048 

(43) 

(0) 

(103) 

2 

0.000 

— 

0.609 

(1) 

(0) 

(51) 

3 

0.111 

— 

0.110 

(45) 

(0) 

(55) 

4 

0.953 

— 

0.862 

(6) 

(0) 

(183) 

5 

1.120 

— 

— 

(9) 

(0) 

(0) 

6 

1.374 

— 

— 

(64) 

(0) 

(0) 

7 

5.745 

— 

— 

(1) 

(0) 

(0) 

8 

(0) 

(0) 

(0) 

All  regions 

0.671 

— 

0.510 

(170) 

(0) 

(392) 

Ventilation  Patterns 

Harbor  porpoise  did  not  appear  to  react  to  the 
helicopter  during  aerial  observations;  they  were 
visible  throughout  a  surfacing  series  and  were  not 
visible  during  dives.  Knowing  this,  we  were  able  to 
use  data  on  surfacing  series  and  dive  times  to  deter- 
mine the  fraction  of  time  harbor  porpoise  would  be 
visible  from  the  air.  Data  on  ventilation  patterns 


440 


BARLOW  ET  AL.:  AERIAL  SURVEYS  OF  HARBOR  PORPOISE 


were  available  from  the  helicopter  study  in  Califor- 
nia (13  groups  were  observed,  mean  group  size  was 
2.7),  the  Oregon  shore  observations  (11  groups, 
mean  group  size  was  4.2),  and  a  previous  shore  study 
in  Glacier  Bay,  AK  (28  solitary  individuals).  The 
mean  times  spent  in  surfacing  series  were  34.2,  24.6, 
and  30.0  seconds  (respectively  for  the  three  studies). 
The  corresponding  mean  dive  times  did  not  differ 
significantly  between  study  sites  (P  >  0.05  using 
pairwise  ^tests).  Using  the  pooled  data  set  (n  =  52), 
the  mean  time  spent  in  a  surfacing  series  was  30.02 
seconds  (SE  =  1.95)  and  the  mean  time  spent  in  a 
dive  was  95.81  seconds  (SE  =  5.32).  The  percent- 
age of  time  spent  at  the  surface  is  23.9%. 


Average  and  Adjusted 
Density  Estimates 

Harbor  porpoise  densities  under  optimal  condi- 
tions (Beaufort  0  &  1  and  <25%  cloud  cover)  were 
averaged  for  the  two  surveys,  weighting  by  transect 
length  (Table  8).  Given  an  average  survey  speed  of 
160  km/h  and  assuming  that  the  window  for  harbor 
porpoise  observation  is  400  m  long,  the  time  win- 
dow during  which  a  point  would  be  visible  is  9.0 


Table  7— Uncorrected  harbor  porpoise  densities  (km"^)  in 
eight  geographic  regions  surveyed  during  Beaufort  2  condi- 
tions. Data  for  1984  are  based  on  inside  swaths  of  transects 
flown  0.61  km  from  the  coast.  Data  for  1985  are  based  on  in- 
side and  outside  swaths  of  transects  flown  at  0.61  and  1.85 
km  from  the  coast.  Only  those  segments  surveyed  when  cloud 
cover  was  <25%  are  included.  Numbers  in  parentheses  refer 
to  area  (km^)  surveyed  under  the  given  condition. 


Geographic 
region 


1984  survey 
density 
0.61  km 


1985  survey 
density 
0.61  km 


1985  survey 
density 
1.85  km 


1 
2 
3 
4 
5 
6 
7 
8 
All  regions 


0.000 
(107) 

0.092 
(109) 

0.196 
(117) 

0.562 
(180) 

0.489 
(119) 

0.439 
(57) 

0.114 
(70) 

0.268 
(37) 

0.295 
(796) 


(0) 

0.102 
(59) 

0.062 
(48) 

0.282 
(110) 

0.459 
(6) 

(0) 

(0) 

(0) 

0.192 
(224) 


0.184 
(103) 

0.103 
(68) 

0.287 
(52) 

0.070 
(57) 

0.234 
(171) 

(0) 
(0) 

(0) 

0.188 
(452) 


seconds.  Using  this  estimate  and  the  surface  and 
dive  times  estimated  above,  the  probability  that  a 
porpoise  will  be  seen  is  estimated  as  0.310  from 
Equation  (2).  An  instantaneous  count  would  there- 
fore underestimate  porpoise  abundance  by  a  factor 
of  3.2.  Average  values  were  therefore  multiplied  by 
this  factor  (Table  8). 

DISCUSSION 

Results  indicate  that  sighting  conditions  must  be 
very  good  in  order  to  estimate  harbor  porpoise  abun- 
dance from  aerial  strip  transects.  Both  sea  state  and 
cloud  cover  had  very  large  and  significant  effects 
on  apparent  density.  Limiting  observations  to  the 
best  categories  of  sea  state  (Beaufort  0  &  1)  and 
cloud  cover  (<25%)  can  be  used  to  minimize  the  bias 
due  to  missed  animals.  These  conditions  are,  how- 
ever, rare  and  only  occurred  during  5.3%  and  10.3% 
of  the  transects  in  1984  and  1985.  The  actual  occur- 
rence of  these  conditions  is  even  more  rare  if  one 
considers  flights  that  were  cancelled  due  to  bad 
weather. 

The  effects  on  sea  state  and  cloud  cover  on  sight- 
ing conditions  were  predicted  by  observers  before 
analysis  of  survey  data  was  begun.  Most  harbor  por- 
poise were  first  seen  when  submerged  a  small 
distance  below  the  surface.  Surfacings  were  rela- 
tively inconspicuous  to  aerial  observers  and  were  not 
an  important  cue  in  sighting  porpoise.  Both  sea  state 
and  cloud  cover  affect  the  ability  of  observers  to  see 
through  the  water's  surface  and  to  spot  submerged 
animals.  Increasing  sea  state  causes  more  refrac- 
tion of  light  at  the  water's  surface,  increases  glit- 


Table  8.— Harbor  porpoise  densities  (km"^)  in  eight  geographic 
regions  from    a)  a  weighted  average  of  uncorrected  estimates  from 

1984  and  1985  aerial  surveys,  b)  the  same  average  adjusted  by 
a  factor  of  3.2  to  account  for  submerged  porpoise  that  were  missed 
by  aerial  observers,  and    c)  a  weighted  average  for  the  1 984  and 

1985  ship  surveys.  Aerial  estimates  are  based  on  observations 
made  under  conditions  of  Beaufort  0  &  1  and  with  <25%  cloud 
cover.  Ship  estimates  include  Beaufort  sea  states  of  0,  1,  and  2. 


Geographic 
region 


Area 

surveyed 

(km*) 


Aerial  estimates 

Uncorrected 
a 


Research 
vessel 
Corrected      estimates 
b  c 


1 

146 

0.03 

2 

1 

— 

3 

100 

0.11 

4 

189 

0.86 

5 

9 

1.12 

6 

64 

1.37 

7 

1 

— 

8 

0 

— 

All  regions 

562 

0.55! 

0.10 

0.05 

— 

0.66 

0.35 

0.04 

2.75 

3.68 

3.58 

1.18 

4.38 

2.88 

— 

3.43 

— 

1.42 

1.79 

1.73 

441 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


tery  reflection  of  sunlight,  and  causes  whitecaps 
which  obscure  subsurface  observation.  Cloud  cover 
decreases  penetration  of  sunlight  into  the  sea  and 
causes  its  surface  to  appear  dark  and  glazed.  It  is 
therefore  not  surprising  that  calm  seas  and  clear 
skies  result  in  higher  apparent  densities. 

It  is  more  surprising  that  apparent  density  did  not 
vary  with  observer's  subjective  appraisal  of  surface 
penetration.  This  may  have  been  because  surface 
penetration  was  only  tested  in  paired  cases  for  which 
sea  state  and  cloud  cover  were  identical.  In  these 
cases,  differences  in  surface  penetration  may  have 
been  due  primarily  to  subjective  differences  in  the 
way  individual  observers  were  coding  it.  If  all  cases 
are  considered,  surface  penetration  is  very  highly 
correlated  with  sea  state  and  cloud  cover  and  prob- 
ably could  be  used  as  an  alternative  measure  of 
sighting  conditions.  We  prefer,  however,  to  use  sea 
state  and  cloud  cover  because  their  measure  is  less 
subjective  than  surface  penetration  and  could  more 
easily  be  used  by  other  researchers. 

Missed  Animals 

A  principal  assumption  of  strip  transect  methods 
is  that  all  individuals  within  the  strip  are  counted. 
We  cannot  necessarily  meet  this  assumption  just  by 
eliminating  the  categories  of  sighting  conditions 
with  significantly  lower  density.  In  fact,  it  is  possi- 
ble that  this  method  of  selectively  eliminating  data 
could  overestimate  density  by  eliminating  a  category 
of  sighting  conditions  which  (by  random  chance)  had 
a  significantly  lower  density.  We  do  not  believe  that 
this  is  likely  in  the  cases  of  sea  state  or  cloud  cover 
because  the  trends  were  the  same  for  both  surveys 
and  because  the  categories  that  were  eliminated 
were  judged  a  priori  as  being  poorer  sighting  con- 
ditions. We  believe  that  porpoise  density  is  more 
likely  underestimated  due  to  missed  animals.  Kraus 
et  al.  (1983)  found  that  observers  in  aircraft  saw  only 
14%  of  the  harbor  porpoise  groups  known  to  be  pres- 
ent based  on  shore-based  observations.  Missed 
animals  may  include  some  individuals  that  were  near 
the  surface  and  visible  but  were  not  seen,  as  well 
as  others  that  were  diving  and  were  too  deep  to  be 
seen. 

We  infer  that  some  near-surface  animals  were 
missed  based  on  three  reasons.  First,  apparent  den- 
sity decreased  with  increasing  sea  state  and  cloud 
cover,  hence  near-surface  animals  must  be  missed 
in  (at  least)  the  poorer  conditions.  (An  alternative 
explanation  is  that  porpoise  spend  less  time  near  the 
surface  when  sighting  conditions  are  poor.)  Second, 
of  the  two  principal  observers  in  1985,  the  less  ex- 


perienced observer  may  have  missed  more  porpoise. 
Third,  in  five  instances  in  1984  and  one  instance  in 
1985,  the  data  recorder  saw  harbor  porpoise  in  the 
inside  swath  that  were  missed  by  the  observer.  In 
three  of  these  cases,  conditions  were  Beaufort  1  with 
<25%  cloud  cover.  Recorders  searched  only  occa- 
sionally as  conditions  permitted,  so  it  is  not  possi- 
ble to  use  these  data  to  quantify  how  many  near- 
surface  animals  were  missed  under  good  conditions. 

Based  on  behavioral  observations,  we  can  also  be 
certain  that  some  harbor  porpoise  are  missed  be- 
cause they  are  too  deep  to  be  seen.  Water  visibility 
was  typically  only  2-5  m  during  the  surveys.  Aerial 
observers  have  seen  harbor  porpoise  dive  out  of  view 
during  the  passing  of  the  plane  or  while  circling. 
Harbor  porpoise  were  not  visible  from  the  helicopter 
during  dives,  even  in  very  calm  water.  Some  frac- 
tion of  porpoise  must  be  missed  because  they  are 
too  deep  to  be  seen. 

We  have  tried  to  account  for  the  fraction  of  diving 
animals  by  dividing  density  estimates  by  the  frac- 
tion of  time  harbor  porpoise  are  known  to  be  near 
the  surface  (i.e.,  within  surfacing  series).  Uncor- 
rected estimates  of  harbor  porpoise  density  are 
based  on  the  assumption  that  porpoise  are  never  too 
deep  to  be  seen;  this  undoubtedly  results  in  an 
underestimate  of  porpoise  density.  Our  method  of 
adjusted  estimates  of  porpoise  density  assumes  that, 
when  diving,  porpoise  are  always  too  deep  to  be 
seen;  this  has  been  corroborated  by  helicopter  ob- 
servations. The  latter  estimate  should  therefore  be 
closer  to  the  true  value  of  porpoise  density  (if  biases 
due  to  other  factors  have  been  eliminated). 

Offshore  Distribution  of 
Harbor  Porpoise 

In  1985,  aerial  transects  were  flown  at  0.61  and 
1.85  km  from  the  shore.  The  latter  value  was  chosen 
to  correspond  approximately  to  the  ship  transects 
along  the  10-fathom  (18.3  m)  isobath.  The  intent  was 
to  directly  compare  aerial  estimates  of  density  to 
estimates  made  from  ships  at  the  same  distance 
from  shore  (considered  below)  and  to  provide  a 
means  to  extrapolate  ship  estimates  to  regions  that 
were  too  shallow  to  survey  by  ship.  In  regard  to  the 
latter,  we  wish  to  know  whether  harbor  porpoise 
density  at  0.61  km  from  shore  is  different  from  that 
at  1.85  km. 

In  1985,  surveys  at  0.61  km  were  never  flown 
under  good  sighting  conditions  (Beaufort  0  &  1  and 
<25%  cloud  cover),  so  direct  comparisons  between 
0.61  and  1.85  km  are  not  possible.  Considering  only 
the  best  category  of  sighting  conditions,  it  is  possi- 


442 


BARLOW  ET  AL.:  AERIAL  SURVEYS  OF  HARBOR  PORPOISE 


ble  to  compare  1985  transects  at  1.85  km  with  1984 
transects  at  0.61  km  in  geographic  regions  1  and 
3  (Table  6).  Sample  sizes  are  very  small,  but  den- 
sities are  roughly  comparable  (0.070  vs.  0.057, 
respectively  for  1.85  and  0.61  km  from  shore).  Sam- 
ple sizes  in  1985  can  be  increased  if  Beaufort  2  is 
considered  instead  of  Beaufort  0  &  1  (still  with  <25% 
cloud  cover).  Based  on  geographic  regions  1  through 
5,  porpoise  densities  are  virtually  identical  at  1.85 
and  0.61  km  from  shore  (0.188  vs.  0.192,  respective- 
ly, Table  7). 

In  a  preliminary  model  of  harbor  porpoise  depth 
distribution.  Barlow  (1988)  hypothesized  that  har- 
bor porpoise  density  is  constant  from  the  shore  to 
the  75  m  isobath.  Ship  data  did  not,  however,  in- 
clude any  transects  inshore  of  18.3  m  depth.  In  this 
shallow  area,  the  model  was  not  based  on  any  data. 
Although  sparse,  data  from  aerial  surveys  show  that 
densities  are  similar  in  areas  that  were  surveyed  by 
ship  (1.85  km  from  shore)  and  in  areas  that  were 
too  shallow  to  be  surveyed  by  ship  (0.61  km  from 
shore).  These  data  are  consistent  with  the  model  pro- 
posed by  Barlow. 

Comparison  of  Ship 
and  Aerial  Density  Estimates 

Estimates  of  harbor  porpoise  density  from  1984 
to  1985  ship  surveys  (Barlow  1988)  can  be  compared 
with  adjusted  and  unadjusted  estimates  from  the 
aerial  surveys  (Table  8).  The  overall  density  for  all 
regions  is  higher  for  the  ship  surveys  than  for  the 
unadjusted  aerial.  Adjusted  estimates  from  the 
aerial  surveys  are  very  close  to  the  overall  estimates 
from  ship  surveys. 

Previous  comparisons  have  been  made  of  sighting 
efficiency  from  aerial  and  surface  vessel  platforms 
(Kraus  et  al.  1983).  They  found  that  observers  on 
boats  saw  52%  of  the  harbor  porpoise  groups  seen 
by  shore-based  observers,  whereas  aerial  observers 
saw  only  14%.  Based  on  this,  density  from  aerial 
surveys  might  be  expected  to  be  only  27%  of  that 
from  ship  surveys.  In  the  present  study,  unadjusted 
density  based  on  aerial  surveys  is  32%  of  the  den- 
sity from  ship  surveys.  The  two  studies  are  not 
directly  comparable,  however.  Weather  conditions 
are  not  reported  by  Kraus  et  al.  (1983)  and  may  have 
included  less  than  optimal  sighting  conditions.  It 
should  be  noted  that  the  fraction  of  harbor  porpoise 
groups  seen  by  aerial  observers  in  their  study  (14%) 
is  even  lower  than  the  fraction  of  harbor  porpoise 
we  assumed  would  be  in  surfacing  series  and  hence 
near  the  surface  (23.9%).  It  is  possible  that 
behavioral  differences  between  harbor  porpoise 


from  the  two  coasts  (such  as  travelling  or  behavior 
mode  "A"  noted  by  Watson  and  Gaskin  (1983))  could 
account  for  some  of  the  differences  noted  above. 
Estimates  based  on  ship  surveys  cannot,  of  course, 
be  considered  the  true  density  of  harbor  porpoise. 
The  overall  estimate  based  on  ship  surveys  is  rela- 
tively imprecise  (C.V.  =  49%)  and  may  be  biased 
(Barlow  1988).  The  ship  survey  estimate  is,  however, 
superior  to  current  estimates  from  aircraft  for  sev- 
eral reasons.  Line  transect  methods  were  used  on 
the  ship  surveys,  and  the  principal  assumption  of 
this  method  (that  100%  of  the  animals  in  the  imme- 
diate vicinity  of  the  trackline  are  seen)  is  more  easily 
met  than  the  comparable  strip  transect  assumption 
(that  100%  of  the  animals  within  a  strip  are  seen). 
Acceptable  sighting  conditions  for  ship  surveys  in- 
cluded Beaufort  0  &  1 ,  and  2  and  were  not  restricted 
by  cloud  cover  (Barlow  1988).  This  allowed  more 
complete  geographic  coverage  than  did  aerial 
surveys.  Also,  the  ship  travelled  much  slower  than 
the  aircraft  (10  knots  vs.  80-90  knots),  thus  the  prob- 
ability of  missing  a  diving  individual  was  much  less. 
Barlow  (1988)  calculated  that  diving  animals  located 
near  the  trackline  would  be  missed  by  observers  on 
ships  only  if  dive  times  exceeded  2  minutes.  Final- 
ly, estimates  of  the  correction  factor  to  account  for 
submerged  animals  is  relatively  imprecise.  Addi- 
tional observations  on  ventilation  patterns  may 
allow  further  refinements  in  density  estimates  based 
on  aerial  surveys. 

RECOMMENDATIONS 

The  design  of  future  surveys  for  harbor  porpoise 
could  be  improved  based  on  the  results  obtained 
from  our  aerial  surveys.  We  found  that  sighting  con- 
ditions deteriorated  rapidly  with  both  increasing 
cloud  cover  and  rougher  sea  states.  To  the  extent 
that  is  possible,  aerial  surveys  for  harbor  porpoise 
should  only  occur  on  clear  days  with  little  wind.  Ob- 
servations made  by  the  data  recorders  indicate  that 
some  harbor  porpoise  will  be  missed  even  in  good 
sighting  conditions.  If  strip  transects  are  used,  ex- 
periments with  two  independent  teams  of  observers 
searching  at  the  same  time  could  be  used  to  quan- 
tify the  fraction  of  animals  that  are  missed  by  using 
just  one  team.  Given  that  fewer  harbor  porpoise 
were  seen  between  400  and  500  m  of  the  track  line, 
we  also  suggest  that,  when  surveying  at  213  m 
altitude,  the  strip  widths  should  be  decreased  to  only 
include  the  area  between  100  and  400  m. 

We  believe,  however,  that  the  problem  of  miss- 
ing harbor  porpoise  could  be  reduced  if  line  transect 
methods  were  used  in  place  of  strip  transects.  Line 


443 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


transect  methods  assume  that  100%  of  all  animals 
are  seen  directly  along  the  trackline  and  use 
statistical  techniques  to  estimate  the  number  of 
animals  that  are  missed  as  a  function  of  the  distance 
from  this  tracWine.  Line  transects  would  require  use 
of  an  aircraft  with  unobstructed  downward  visibil- 
ity through  a  belly  window  and  use  of  a  third  ob- 
server who  could  view  animals  directly  under  the 
aircraft. 

Harbor  porpoise  are  now  known  to  occur  further 
from  the  shoreline  than  was  believed  at  the  begin- 
ning of  this  study  (Barlow  1988).  In  future  surveys, 
transect  lines  should  be  placed  so  as  to  cover  a 
greater  fraction  of  the  harbor  porpoise  habitat. 

ACKNOWLEDGMENTS 

Support,  personnel,  and  flight  time  were  provided 
by  the  Southwest  Fisheries  Center  (NMFS),  the 
Southwest  Regional  Office  (NMFS),  the  California 
Department  of  Fish  and  Game,  the  National  Marine 
Mammal  Laboratory  (NMFS),  the  Washington  State 
Department  of  Wildlife,  and  the  Oregon  Department 
of  Fish  and  Wildlife.  The  observers  and  data 
recorders  were  R.  Brown,  S.  Diamond,  D.  Hanan, 
R.  Holt,  S.  Jeffries,  W.  Ferryman,  and  B.  Troutman 
(also  Jay  Barlow,  Terry  D.  Jackson,  and  Charles  W. 
Oliver).  The  pilots  were  R.  Anthes,  J.  Cain,  L.  Heitz, 
J.  York,  and  B.  Zorich.  Shore  observations  were 
made  by  M.  Herter,  T.  LoughHn,  D.  Merrick, 
R.  Rowlett,  D.  Rugh,  and  B.  Yerman  (also  Barbara 
L.  Taylor).  Unpublished  porpoise  data  from  Alaska 
were  collected  by  P.   Dawson  (and  Barbara  L. 


Taylor).  The  method  of  adjusting  for  submerged 
animals  was  suggested  by  D.  Chapman  based  on  an 
unpublished  report  by  R.  A.  Davis.  Drafts  of  this 
paper  were  reviewed  by  R.  Brown,  D.  DeMaster, 
K.  Forney,  D.  Hanan,  R.  Holt,  S.  Jeffries,  and  two 
anonymous  reviewers. 

LITERATURE  CITED 

Barlow,  J. 

1988.  Harbor  porpoise  Phocoena  phocoena,  abundance  estima- 
tion for  California,  Oregon  and  Washington;  \.  Ship 
surveys.    Fish.  Bull.,  U.S.  86:417-432. 

Kraus,  S.  D.,  J.  R.  Gilbert,  and  J.  H.  Prescott. 

1983.  A  comparison  of  aerial,  shipboard,  and  land-based 
survey  methodology  for  the  harbor  porpoise,  Phocoena  pho- 
coena.   Fish.  Bull.,  U.S.  81:910-913. 

Kruskal,  W.  H.,  and  W.  a.  Wallis. 

1952.    Use  of  ranks  in  one-criterion  analysis  of  variance.    J. 
Am.  Stat.  Assoc.  47:583-621. 
Scheirer,  C.  J.,  W.  S.  Ray,  and  N.  Hare. 

1976.    The  analysis  of  ranked  data  derived  from  completely 
randomized  factorial  designs.    Biometrics  32:429-434. 
Seber,  G.  A.  F. 

1973.    The  estimation  of  animal  abundance  and  related  param- 
eters.   Hafner  Press,  N.Y.,  506  p. 
Taylor,  B.  L.,  and  P.  K.  Dawson. 

1984.  Seasonal  changes  in  density  and  behavior  of  harbor  por- 
poise (Phocoena  phocoena)  affecting  census  methodology  in 
Glacier  Bay  National  Park,  Alaska.  Rep.  int.  Whaling 
Comm.    34:479-483. 

Watson,  A.  P.,  and  D.  E.  Gaskin. 

1983.    Observations  on  the  ventilation  cycle  of  the  harbour 
porpoise  Phocoena  phocoena  (L.)  in  the  coastal  waters  of  the 
Bay  of  Fundy.    Can.  J.  Zool.  61(1):126-132. 
Wilcoxon,  F. 

1945.  Individual  comparisons  by  ranking  methods.  Biom. 
Bull.  1:80-83. 


444 


EVALUATION  OF  VARIABILITY  IN 

SABLEFISH,  ANOPLOPOMA  FIMBRIA,  ABUNDANCE  INDICES  IN 

THE  GULF  OF  ALASKA  USING  THE  BOOTSTRAP  METHOD 

Michael  F.  Sigler  and  Jeffrey  T.  Fujioka^ 

ABSTRACT 

Relative  population  numbers  (RPN's)  and  length  compositions  were  computed  for  sablefish,  Anoplopoma 
fimbria,  in  the  Gulf  of  Alaska  from  the  results  of  the  Japan-United  States  cooperative  longline  survey 
from  1979  to  1986.  A  statistical  evaluation  of  annual  changes  in  the  RPN's  using  the  bootstrap  method 
is  demonstrated  and  showed  that  sablefish  abundance  increased  significantly  from  1979  to  1986,  an  in- 
crease likely  due  to  recruitment  of  two  strong  year  classes.  The  effect  of  missing  data  on  the  bootstrap 
calculations  was  examined  and  found  to  be  negligible. 


Early  in  this  century,  United  States  and  Canadian 
fishermen  began  harvesting  sablefish,  Anoplopoma 
fimbria,  in  nearshore  waters  from  California  north 
to  southeastern  Alaska,  but  sablefish  were  not 
heavily  exploited  until  Japanese  longline  vessels 
began  fishing  in  the  Bering  Sea  in  1958.  Japanese 
catches  off  both  the  U.S.  and  Canadian  coasts  rose 
dramatically  in  the  following  two  decades.  After 
passage  of  the  Fishery  Conservation  and  Manage- 
ment Act,  foreign  catches  were  reduced  and  the 
domestic  allocation  was  increased.  The  domestic 
catch  eventually  increased  nearly  fivefold,  thereby 
replacing  the  foreign  fishery,  and  in  1985,  sablefish 
in  the  Gulf  of  Alaska  were  harvested  entirely  by 
domestic  fishermen. 

Before  the  reduction  of  the  foreign  fishery,  infor- 
mation on  sablefish  abundance  consisted  of  statistics 
on  catch  per  unit  effort  from  the  Japanese  longline 
fishery.  In  1978,  the  Fisheries  Agency  of  Japan  and 
the  U.S.  National  Marine  Fisheries  Service  (NMFS) 
began  a  cooperative  longline  survey  along  the  con- 
tinental slope  of  Alaska  to  assess  the  abundance  of 
sablefish  and  Pacific  cod,  Gadus  macrocephalus.  The 
survey,  conducted  annually,  has  provided  eight  con- 
secutive years  (1979-86)  of  data  for  the  Gulf  of 
Alaska,  seven  years  (1980-86)  of  data  for  the  Aleu- 
tian region,  and  five  years  (1982-86)  of  data  for  the 
eastern  Bering  Sea.  The  first  year  of  the  survey, 
1978,  was  experimental. 

Relative  population  numbers  (RPN's)  and  length 
compositions  from  the  longline  survey  results  from 


'Northwest  and  Alaska  Fisheries  Center  Auke  Bay  Laboratory, 
National  Marine  Fisheries  Service,  NOAA,  P.O.  Box  210155,  Auke 
Bay,  AK  99821. 


1979  to  1985  have  been  estimated  previously  by 
Sasaki  (1986).  In  this  study,  the  observed  increase 
in  the  RPN's  for  sablefish  in  the  Gulf  of  Alaska  is 
evaluated  statistically  and  an  explanation  of  the 
probable  source  of  the  increase  is  discussed. 

Statistical  analysis  of  the  survey  results  is  based 
on  the  bootstrap  method  (Efron  1982;  Efron  and 
Gong  1983).  This  method  is  a  relatively  new  statis- 
tical procedure  that  has  been  little  used  in  fisheries 
analysis.  Thus,  this  paper  also  demonstrates  an 
application  of  the  bootstrap  method  to  statistical 
evaluation  of  fishery  survey  data. 

SURVEY  METHODS 

The  Gulf  of  Alaska  portion  of  the  Japan-U.S. 
cooperative  longline  survey,  conducted  annually 
each  summer  from  1979  to  1986,  covered  five 
International  North  Pacific  Fisheries  Commission 
(INPFC)  statistical  areas:  Shumagin,  Chirikof, 
Kodiak,  Yakutat,  and  Southeastern  (Fig.  1).  One  of 
a  total  of  47  stations  each  ranging  in  depth  from 
about  100  to  1,000  m  was  sampled  daily  by  longline. 
The  longline  was  16  km  long  and  consisted  of  160 
hachis  (the  Japanese  word  for  "skate"  or  length  of 
longline);  each  hachi  was  100  m  long  and  consisted 
of  45  hooks  baited  with  squid.  Soak  time,  the  time 
between  setting  and  retrieval,  varied  from  3  hours 
at  the  beginning  of  the  longline  gear  to  7  or  8  hours 
at  its  end.  The  depth  at  which  the  fish  were  caught 
was  estimated  by  measuring  the  depth  of  water 
under  the  vessel  with  an  echo  sounder  every  fifth 
hachi.  The  fish  caught  were  tallied  by  species  and 
hachi  as  the  longline  was  brought  aboard,  then  they 
were  weighed  and  their  length  was  measured.  Most 


Manuscript  accepted  May  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


445 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Figure  1.— International  North  Pacific  Fisheries  Commission  statistical  areas  sampled  during  the  Gulf  of  Alaska 
portion  of  the  Japan-U.S.  cooperative  longline  survey,  1979-86. 


sablefish  were  sexed,  some  were  tagged  and  re- 
leased, and  others  were  sampled  for  otoliths  and 
scales.  Detailed  survey  methods  are  described  in 
Sasaki  et  al.  (1983). 


STATISTICAL  METHODS 

The  catch  data  were  stratified  because  of  differ- 
ences in  the  catch  rate  by  depth.  Assignment  of  the 


150  - 


U 

z 
o 

lU 

c 


100- 


0.5 


5.5 


10.5  15.5 

CATCH  PER  HACHI 


20.5 


25.5 


446 


Figure  2.— Frequency  distribution  of  sablefish  catch  per  hachi  (numbers)  by  year,  station,  and  strata, 

1979-86. 


SIGLER  and  FUJIOKA:  VARIABILITY  IN  SABLEFISH 


catch  data  to  a  stratum  was  based  on  the  recorded 
depth  of  every  fifth  hachi  or  the  interpolated  depth 
of  each  of  the  intervening  four  hachis.  The  number 
of  strata  totaled  nine,  with  the  first  stratum  repre- 
senting 101-200  m,  the  second  representing  201- 
300  m,  and  so  on.  A  catch  per  hachi  value  was 
calculated  for  each  stratum  of  a  station  (Fig.  2),  and 
the  resultant  values  within  each  statistical  area  were 
averaged. 

Not  all  strata  were  sampled  at  each  station  and 
as  a  result,  sometimes  no  stations  were  sampled 
within  certain  strata  (Table  1).  Although  not  sam- 
pled one  year,  these  strata  generally  were  sampled 
the  previous  year,  because  of  slight  annual  differ- 
ences in  the  depths  sampled  at  each  station.  Catch 
per  hachi  values  CPUE,j  were  estimated  for  sta- 
tions within  the  unsampled  strata  from  the  catch  per 
hachi  values  for  sampled  stations  from  the  previous 
year  and  the  annual  change  in  the  catch  per  hachi 
values  in  the  adjacent  stratum.  For  each  station: 


CPUE,  J  =  CPUE,_i  J  *  CPUE  ,,j  /CPUEi_i__,. 

where  i  =  yed.r,j  =  stratum,  a.ndj'  =  the  adjacent 
stratum.  Catch  per  hachi  values  were  estimated  only 
for  stations  within  unsampled  strata.  If  one  or  more 
stations  within  a  stratum  were  sampled,  then  no 
catch  per  hachi  values  were  estimated  for  the  un- 
sampled stations.  The  effect  of  these  missing  values 
on  the  survey  results  vdll  be  discussed  later. 

Relative  population  numbers  were  calculated  from 
the  catch  per  hachi  values  to  index  annual  changes 
in  sablefish  abundance.  As  in  Sasaki  (1985),  the  aver- 
age catch  per  hachi  was  multiplied  by  the  areal  size 
of  each  stratum  and  statistical  area  to  calculate  an 
RPN  for  each  stratum  and  statistical  area.  The  areal 
sizes  used  to  calculate  the  RPN's  are  for  the  con- 
tinental slope  only  (Table  2),  which  corresponds  to 
the  area  covered  by  the  survey.  The  resultant  RPN's 
were  summed  across  strata  to  calculate  an  RPN  for 
each  statistical  area,  and  these  RPN's  were  summed 


Table  1.— Number  of  stations  sampled  by  year,  INPFC  area,  and  depth  during  the  Japan-U.S.  cooperative  longline  survey,  1979-86. 


Depth 

INPFC  Statistical  area 

Depth 

INPFC  statistical  area 

Shu- 

Chiri- 

South- 

Shu- 

Chiri- 

South- 

Year 

(m) 

magin 

kof 

Kodiak 

Yakutat 

east 

Year 

(m) 

magin 

kof 

Kodiak 

Yakutat 

east 

1979 

101-200 

7 

4 

6 

6 

2 

1983 

101-200 

9 

5 

7 

8 

3 

201-300 

7 

5 

7 

10 

5 

201-300 

10 

6 

9 

11 

9 

301-400 

7 

5 

8 

6 

301-400 

10 

5 

9 

11 

8 

401-500 

7 

5 

9 

6 

401-500 

10 

6 

9 

11 

8 

501-600 

6 

4 

9 

6 

501-600 

10 

5 

9 

11 

8 

601-700 

6 

4 

8 

5 

601-700 

9 

5 

9 

11 

7 

701-800 

6 

4 

7 

5 

701-800 

8 

4 

8 

11 

7 

801-900 

5 

1 

4 

9 

4 

801-900 

5 

4 

4 

10 

7 

901-1,000 

4 

1 

2 

4 

1 

901-1,000 

2 

0 

1 

5 

2 

1980 

101-200 

9 

5 

8 

7 

4 

1984 

101-200 

10 

7 

7 

8 

2 

201-300 

10 

6 

8 

10 

6 

201-300 

10 

7 

9 

11 

9 

301-400 

10 

6 

8 

10 

8 

301-400 

10 

6 

9 

11 

8 

401-500 

10 

6 

9 

10 

8 

401-500 

10 

6 

9 

11 

8 

501-600 

10 

5 

9 

10 

7 

501-600 

10 

5 

9 

11 

8 

601-700 

9 

5 

9 

9 

7 

601-700 

8 

5 

8 

11 

8 

701-800 

6 

4 

8 

9 

7 

701-800 

7 

5 

6 

10 

8 

801-900 

6 

2 

3 

7 

4 

801-900 

3 

0 

3 

7 

5 

901-1,000 

5 

1 

2 

6 

1 

901-1,000 

0 

0 

0 

6 

1 

1981 

101-200 

9 

6 

7 

8 

1 

1985 

101-200 

9 

6 

6 

7 

1 

201-300 

10 

6 

9 

11 

9 

201-300 

10 

7 

8 

11 

9 

301-400 

10 

6 

9 

11 

9 

301-400 

10 

6 

9 

11 

8 

401-500 

10 

6 

9 

11 

9 

401-500 

10 

6 

9 

11 

7 

501-600 

10 

6 

9 

11 

9 

501-600 

10 

6 

9 

11 

8 

601-700 

9 

4 

9 

11 

9 

601-700 

9 

5 

9 

11 

8 

701-800 

7 

2 

7 

11 

9 

701-800 

7 

4 

9 

10 

8 

801-900 

6 

1 

5 

7 

7 

801-900 

4 

4 

4 

11 

6 

901-1,000 

2 

0 

1 

2 

1 

901-1,000 

0 

0 

0 

5 

2 

1982 

101-200 

9 

5 

7 

10 

4 

1986 

101-200 

9 

5 

7 

7 

2 

201-300 

9 

6 

9 

11 

9 

201-300 

10 

6 

9 

11 

9 

301-400 

10 

5 

9 

11 

8 

301-400 

10 

6 

9 

11 

8 

401-500 

10 

6 

9 

11 

8 

401-500 

10 

6 

9 

11 

8 

501-600 

10 

5 

9 

11 

8 

501-600 

10 

6 

9 

11 

8 

601-700 

10 

5 

9 

11 

8 

601-700 

10 

4 

9 

11 

8 

701-800 

9 

4 

8 

11 

7 

701-800 

10 

3 

8 

11 

8 

801-900 

7 

4 

6 

9 

6 

801-900 

5 

2 

7 

11 

8 

901-1,000 

3 

3 

5 

8 

3 

901-1,000 

1 

1 

3 

5 

1 

447 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  2.— Slope  area  sizes  (km^. 


2\1 


Depth 
(m) 


Slope  area  (km'') 


Shumagin    Chlrikof    Kodiak    Yakutat    Southeast 


201-400 

4,001 

2,350 

3,106 

2,988 

1,781 

401- 

-600 

2,269 

1,766 

2,255 

1,666 

822 

601- 

-800 

1,629 

1,955 

1,923 

1,470 

1,006 

801- 

-1,000 

1,248 

2,012 

2,296 

1,489 

1,165 

201- 

-1.000 

9,147 

8,083 

9,580 

7,613 

4,774 

'Shumagin,  Chirikof,  and  Kodiak  areas  and  Yakutat  area  from  long. 
147-I440W;  data  from  E.  Brown  (NWAFC  Seattle  Laboratory,  NMFS.  NOAA, 
7600  Sand  Point  Way  NE.  Seattle,  WA  98115,  pers.  commun.  December 
1985).  Yakutat  area  from  long.  144-137°W.  and  Souttieastern  area;  data  from 
R.  Haight  (NWAFC  Auke  Bay  Laboratory,  NMFS,  NOAA,  P.O.  Box  210155, 
Auke  Bay,  AK  99821,  pers.  commun.  1986). 


across  statistical  areas  to  calculate  an  RPN  for  the 
Gulf  of  Alaska.  The  bootstrap  method  (Efron  1982; 
Efron  and  Gong  1983)  then  was  applied  to  the  re- 
sultant RPN's  to  test  the  statistical  significance  of 
annual  changes  in  the  RPN's. 

The  bootstrap  method  is  a  nonparametric  statis- 
tical procedure  based  on  Monte  Carlo  methods  (see 
Shreider  [1966]  for  a  description  of  Monte  Carlo 
methods).  The  bootstrap  method  is  a  new  technique 
not  common  in  the  fisheries  and  ecology  literature, 
but  examples  of  its  application  to  survey  design  and 
biomass  estimation  can  be  found  in  Kimura  and 
Balsiger  (1985)  and  Haslett  and  Wear  (1985),  re- 
spectively. In  addition,  Rao  and  Wu  (1984)  proved 
the  applicability  of  the  bootstrap  method  to  strati- 
fied sampling,  which  is  the  sampling  method  used 
in  the  longline  survey.  The  bootstrap  method  is 
useful  when  parametric  assumptions  are  difficult  to 
justify;  no  parametric  estimate  is  readily  available 
for  the  accuracy  of  a  statistic,  e.g.,  a  sample  median; 
or  the  procedure  to  compute  the  statistic  of  interest 
is  complicated.  Simply  described,  the  bootstrap 
method  works  as  follows:  Given  the  observed  data 
set  <Xi,X2,.  .  .,X^>,  the  sample  <Xi*,X2*,. . ., 
Xn*>  is  drawn  by  independent  random  sampling 
with  replacement  from  the  observed  data  set  and 
the  desired  statistic  (e.g.,  a  median)  is  computed 
from  the  sample.  The  resultant  statistic  is  termed 
the  bootstrap  replicate.  In  the  next  step,  the  sam- 
ple is  drawn  and  the  bootstrap  replicate  is  computed 
some  large  number  B  times.  The  resultant  B  boot- 
strap replicates  form  the  bootstrap  distribution.  An 
estimate  of  the  accuracy  of  the  median,  a  standard 
error,  then  can  be  calculated  from  the  bootstrap 
distribution  by  standard  methods. 

In  this  study,  we  used  the  bootstrap  method  to  test 
the  null  hypothesis  that  the  difference  RPN^j;.  - 
RPN^jr.  =  0,  for  any  RPNjjt  ,  where  i  =  year 
(1979-86),  i'  =  any  subsequent  year,  and  k  =  sta- 


tistical area  (Shumagin,  Chirikof,  Kodiak,  Yakutat, 
and  Southeastern).  The  bootstrap  method  was  used 
because  parametric  assumptions  are  difficult  to 
justify  for  the  longline  survey  data  and  the  pro- 
cedure to  compute  the  statistic  of  interest,  the 
variance  of  the  RPN,  is  tedious  and  error  prone.  In 
our  application  of  the  bootstrap  method,  stations 
were  randomly  sampled  with  replacement  within 
each  area.  A  value  denoted  RPN^  ;^*  was  computed 
from  the  catch  per  hachi  values  of  the  sampled  sta- 
tions by  the  method  of  RPN  calculation  described 
previously.  Stations  then  were  sampled  with  re- 
placement from  year  i'  within  each  area,  a  second 
value  denoted  RPNj  ;^*  was  computed,  and  the 
difference  RPNj  j^*  -  RPN^j^*  was  found.  Sampl- 
ing with  replacement  from  the  2  years  and  the  com- 
putation of  the  difference  were  repeated  1,000  times 
producing  a  bootstrap  distribution  of  1,000 
differences. 

Efron  and  Tibshirani  (1986)  outlined  three 
methods  for  setting  an  approximate  confidence 
interval  from  a  bootstrap  distribution  for  a  statistic 
of  interest,  here  the  difference  RPNj  /^  -  RPN^  /£. 
Use  of  the  simplest  method,  the  percentile  method, 
is  considered  correct  if  the  bootstrap  distribution  of 
the  statistic  of  interest  is  described  by  a  normal 
distribution  (Efron  and  Tibshirani  1986).  The  nor- 
mality of  the  bootstrap  distribution  for  the  dif- 
ference was  tested  using  the  D'Agostino  D  Test 
(D' Agostino  and  Stephens  1986)  and  found  to  be  nor- 
mal, thus  justifying  the  use  of  the  percentile  method. 
The  statistical  significance  of  the  difference 
RPNj  /£  -  RPNj /£  then  was  evaluated  by  the 
following  criteria.  If  the  95%  confidence  interval  for 
the  difference  did  not  include  zero,  then  the  null 
hypothesis  was  rejected,  the  annual  change  in  the 
RPN  was  considered  statistically  significant,  and  the 
change  in  sablefish  abundance  was  considered  real. 
Conversely,  if  the  95%  confidence  interval  for  the 
difference  included  zero,  the  null  hypothesis  was  ac- 
cepted and  the  change  in  sablefish  abundance  was 
not  considered  significant. 

RESULTS 

The  RPN  for  the  Gulf  of  Alaska  increased  111% 
from  1979  to  1986  (Fig.  3).  The  95%  confidence 
interval  for  this  increase  did  not  include  zero  and 
therefore  was  judged  statistically  significant  (alpha 
=  0.05;  Table  3),  showing  that  the  difference  was 
not  due  to  random  error  in  the  survey  and  that 
sablefish  abundance  in  the  Gulf  of  Alaska  has  in- 
creased markedly  since  1979.  The  difference  con- 
sists of  significant  increases  from  1980  to  1981, 1981 


448 


-    KODIAK 

A. 

- 

/ 
/ 

- 

/ 
/ 

I                   1 

1 

1       1       1 

30 
1979  80 


81   82   83   84 


85   86  1979  80   81   82   83 
YEAR 


84       85    86 


Figure  3.— Relative  population  number  (RPN)  for  the  Gulf  of  Alaska  and  the  Shumagin,  Chirikof,  Kodiak,  Yakutat, 
and  Southeastern  areas,  1979-86.    Dashed  lines  (— -)  signify  that  the  annual  change  was  statistically  significant. 


to  1982,  and  1984  to  1985  (Fig.  3).  Differences  be- 
tween other  years  were  not  significant. 

The  RPN  for  each  of  the  statistical  areas  of  the 
Gulf  of  Alaska  generally  increased  from  1979  to 
1986  (Fig.  3);  the  differences  between  1979  and  1986 
were  statistically  significant  for  all  areas  (Table  3), 
showing  that  sablefish  abundance  has  increased 
throughout  the  Gulf  of  Alaska.  The  sharp  jump  in 
the  RPN  for  the  Gulf  of  Alaska  from  1980  to  1982 
was  caused  by  significant  increases  in  four  areas, 
Shumagin,  Chirikof,  Kodiak,  and  Yakutat.  The 
sharp  jump  from  1984  to  1985  was  caused  by  signif- 
icant increases  in  two  areas,  Kodiak  and  Yakutat. 


DISCUSSION 

As  noted  earlier,  sometimes  not  all  strata  were 
sampled  at  a  station  (Table  1).  This  shortcoming  was 
a  consequence  of  the  length  of  the  sampling  gear 
and  the  topography  at  a  station.  At  stations  where 
the  bottom  gradient  was  slight  for  all  or  part  of  the 
station,  the  16  km  of  longline  gear  sometimes  was 
not  long  enough  to  sample  all  strata.  As  a  result, 
sometimes  no  stations  were  sampled  within  certain 
strata.  For  these  strata,  catch  per  hachi  values  were 
estimated  using  combined  data  from  the  current  and 
previous  year's  data.  The  resultant  values  are  esti- 


449 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  3.— Statistical  significance  of  annual  changes  in 
relative  population  number  of  sablefish,  Gulf  of  Alaska, 
Japan-U.S.  cooperative  longline  survey,  1979-86.  The  sym- 
bols used  are  defined  as  follows;  +  signifies  a  significant 
increase  in  RPN;  -  signifies  a  significant  decrease  in 
RPN;    O  signifies  no  significant  change. 


Area 

Year 

80 

81 

82 

83 

84 

85 

86 

Gulf  of  Alaska 

1979 

O 

+ 

+ 

+ 

+ 

+ 

+ 

1980 

+ 

+ 

+ 

+ 

+ 

+ 

1981 

+ 

+ 

+ 

+ 

+ 

1982 

O 

o 

+ 

+ 

1983 

o 

+ 

+ 

1984 

+ 

+ 

1985 

o 

Shumagin 

1979 

O 

o 

+ 

+ 

+ 

+ 

+ 

1980 

o 

+ 

+ 

+ 

+ 

+ 

1981 

+ 

+ 

+ 

+ 

+ 

1982 

o 

o 

+ 

+ 

1983 

o 

o 

o 

1984 

o 

o 

1985 

o 

Chirikof 

1979 

o 

o 

+ 

+ 

+ 

+ 

+ 

1980 

o 

+ 

+ 

+ 

+ 

+ 

1981 

+ 

+ 

+ 

+ 

+ 

1982 

o 

o 

o 

+ 

1983 

o 

o 

+ 

1984 

o 

o 

1985 

o 

Kodiak 

1979 

- 

o 

+ 

+ 

+ 

+ 

+ 

1980 

o 

+ 

+ 

+ 

+ 

+ 

1981 

+ 

+ 

+ 

+ 

+ 

1982 

o 

o 

+ 

+ 

1983 

o 

+ 

+ 

1984 

+ 

o 

1985 

o 

Yakutat 

1979 

o 

+ 

+ 

+ 

+ 

+ 

+ 

1980 

+ 

+ 

o 

+ 

+ 

+ 

1981 

+ 

o 

o 

+ 

+ 

1982 

- 

- 

o 

+ 

1983 

o 

+ 

+ 

1984 

+ 

+ 

1985 

+ 

Southeastern 

1979 

o 

+ 

+ 

o 

+ 

+ 

+ 

1980 

o 

o 

o 

o 

+ 

+ 

1981 

o 

o 

o 

o 

+ 

1982 

o 

o 

o 

+ 

1983 

o 

o 

+ 

1984 

o 

+ 

1985 

o 

mates  of  catch  per  hachi  as  if  the  strata  had  been 
sampled.  Because  the  estimated  values  mimic  the 
observed  data,  the  probability  of  rejecting  the  null 
hypothesis  is  somewhat  higher  than  the  nominal 
value.  In  general  an  inaccurate  estimate  should  have 
a  small  total  effect  because  catch  per  hachi  values 
were  missing  for  only  9  of  the  320  strata  available 
during  the  survey  (8  years  x  5  areas  x  9  strata). 
The  only  comparison  where  the  estimated  catch  per 
hachi  values  might  have  caused  an  incorrect  conclu- 
sion is  the  1984-85  comparison  where  7  strata  were 
unsampled.  This  comparison  was  retested  using  only 


the  observed  catch  per  hachi  values.  The  annual 
change,  like  the  comparison  using  the  estimated 
catch  per  hachi  values,  was  found  to  be  statistically 
significant. 

Another  potential  effect  of  incomplete  sampling 
at  a  station  is  bias  in  the  bootstrap  calculation.  Each 
bootstrap  replicate  RPN^j^*  was  computed  from  a 
bootstrap  sample  selected  by  sampling  with  replace- 
ment from  the  stations  within  an  area.  If  one  or 
more  stations  were  missing  an  observation  for  a 
strata,  then  it  was  possible  for  the  bootstrap  sam- 
ple to  have  all  missing  values  for  the  strata.  In  this 
case,  no  catch  per  hachi  values  were  available  to 
calculate  a  value  for  the  strata  and  the  value  for  the 
strata  was  treated  as  zero.  This  treatment  may 
negatively  bias  the  resultant  RPN,  ;,*.  The  extent 
of  the  negative  bias  was  tested  by  comparing  the 
RPN  to  a  bootstrap  estimate  of  the  RPN,  denoted 
RPNfc,  where  RPN^  is  the  mean  of  the  1,000 
RPNijt*  from  an  area  and  year.  If  RPN^  generally 
was  smaller  than  RPN,  then  the  bootstrap  replicates 
were  negatively  biased.  The  percentage  difference 
between  the  resultant  RPNj's  compared  to  the 
RPN's  ranged  from  -  0.7  to  +  0.5  and  averaged  only 
-1-0.03,  showing  that  the  negative  bias  had  little 
effect  on  the  RPN,^*. 

Other  fishery  and  survey  data  substantiate  the 
significance  of  the  overall  increase  in  the  RPN  and 
also  the  marked  increases  from  1981  to  1982  and 
from  1984  to  1985.  The  CPUE  in  the  Japanese  long- 
line  fishery  showed  a  similar  pattern  to  the  RPN's 
for  the  years  the  data  overlapped,  from  1979  to 
1983;  the  fishery  CPUE  increased  from  the  late 
1970's,  with  the  largest  increase  from  1981  to  1982, 
and  decreased  from  1982  to  1983  (Fig.  4). 

Examination  of  length  compositions  for  depths 
101-200  m  indicate  that  the  strong  1977  year  class 
(Sasaki  1982;  McFarlane  and  Beamish  1983;  Funk 
and  Bracken  1984)  was  responsible  for  the  RPN  in- 
crease from  1980  to  1982  and  that  the  RPN  increase 
from  1984  to  1985  was  due  to  a  strong  1980  year 
class.  Sablefish  recruiting  to  the  survey  area  first 
appear  at  depths  101-200  m,  and  strong  year  classes 
are  more  distinguishable  in  the  length  compositions 
at  these  depths.  The  length  compositions  for  depths 
101-200  m  show  the  initial  appearance  and  subse- 
quent increase  in  length  of  fish  of  the  strong  1977 
year  class  (Fig.  5).  The  mode  at  47  cm  FL  in  1979 
indicates  the  first  year  that  the  1977  year  class  was 
available  to  the  survey  gear.  The  rightward  move- 
ment of  the  mode  in  succeeding  years  illustrates  the 
increase  in  fish  length  for  the  1977  year  class.  The 
movement  of  the  mode  slowed  in  1982  which  we  in- 
terpret to  be  due  mainly  to  the  movement  of  larger 


450 


SIGLER  and  FUJIOKA:  VARIABILITY  IN  SABLEFISH 


460 
420 


■o  380 

a 

(0 

§340 

JC 


300 
260 
220 


Q. 


180 


-    \ 


\ 


FISHERY  CPUE    / 


v.. 

J 


1977     78 


Figure  4.— Sablefish  catch  per  hachi  (kg/10  hachis)  for  the  Japanese  longline  fishery,  1977-83  (Fujioka 
1986)  and  relative  population  number  (RPN),  1979-86. 


Figure  5.— Length-frequency  distributions  of  sablefish 
in  the  Gulf  of  Alaska  for  depths  101-200  m,  1979-86. 
The  shaded  bands  illustrate  the  progression  of  the  modes 
of  two  strong  year  classes,  1977  and  1980. 


T r 

55  63 

LENGTH  (cm) 


r 

71 


T 
79 


451 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


fish  to  depths  >200  m.  The  timing  of  this  movement 
corresponds  to  the  year  that  the  RPN  significantly 
increased. 

The  pattern  of  length  compositions  from  1983  to 
1985  parallels  those  due  to  the  strong  1977  year 
class  and  suggests  that  the  1980  year  class  is  also 
strong  (Fig.  5).  The  shoulder  at  49-51  cm  FL  in 
1983,  not  present  in  1982,  indicates  the  first  year 
that  the  1980  year  class  was  available  to  the  survey 
gear.  This  shoulder  is  due  to  distinct  modes  at  47-51 
cm  FL  in  the  Chirikof,  Yakutat,  and  Southeastern 
areas.  The  rightward  movement  of  the  mode  in  suc- 
ceeding years  illustrates  the  increase  in  fish  length 
for  the  1980  year  class.  The  mode  at  53  cm  FL  in 
1984  is  similar  to  the  modes  at  50-57  cm  FL  found 
in  the  Gulf  of  Alaska  for  depths  101-200  m  during 
a  trawl  survey  conducted  in  1984  by  the  Northwest 
and  Alaska  Fisheries  Center  (Brown  1986)  and  is 
further  evidence  for  a  strong  1980  year  class.  The 
rightward  movement  of  the  mode  slowed  in  1985, 
presumably  due  to  movement  of  larger  fish  to  depths 
>200  m,  and  again  corresponds  to  the  year  of  a 
significant  increase  in  RPN. 

ACKNOWLEDGMENTS 

Thanks  to  Evan  Haynes  and  Leslie  Williams  for 
thoroughly  editing  the  manuscript,  Jerry  Fella  for 
statistical  advice,  and  Takashi  Sasaki  for  courteously 
providing  cooperative  survey  data. 

LITERATURE  CITED 

Brown,  E. 

1986.  Preliminary  results  of  the  1984  U.S. -Japan  cooperative 
bottom  trawl  survey  of  the  central  and  western  Gulf  of 
Alaska.  In  R.  L.  Major  (editor),  Condition  of  groundfish 
resources  of  the  Gulf  of  Alaska  region  as  assessed  in  1984, 
p.  259-296.  U.S.  Dep.  Commer.,  NOAA  Tech.  Memo. 
NMFS  F/NWC-106. 
D'Agostino,  R.  B.,  and  M.  A.  Stephens. 

1986.    Goodness-of-fit  techniques.    Marcel  Dekker,  N.Y. 
Efron,  B. 

1982.    The  jackknLfe,  the  bootstrap  and  other  resampling 


plans.    Appl.  Math.  38,  92  p.    Soc.  Ind.  Appl.  Math.,  Phila. 
Efron,  B.,  and  G.  Gong. 

1983.  A  leisurely  look  at  the  bootstrap,  the  jackknife,  and 
cross-validation.    Am.  Stat.  37:36-48. 

Efron,  B.,  and  R.  Tibshirani. 

1986.  Bootstrap  methods  for  standard  errors,  confidence  in- 
tervals, and  other  measures  of  statistical  accuracy.  Stat. 
Sci.  1:54-77. 

FUJIOKA,  J. 

1986.  Sablefish.  In  R.  L.  Major  (editor).  Condition  of 
groundfish  resources  of  the  Gulf  of  Alaska  region  as  assessed 
in  1985,  p.  79-108.  U.S.  Dep.  Commer.,  NOAA  Tech. 
Memo.  NMFS  F/NWC-106. 

Funk,  F.,  and  B.  E.  Bracken. 

1984.  Status  of  the  Gulf  of  Alaska  sablefish  (Ancyplopoma  fim- 
bria) resource  in  1983.  Alaska  Dep.  Fish  Game,  Info.  Leafl. 
235,  55  p. 

Haslett,  S.  J.,  AND  R.  G.  Wear. 

1985.  Biomass  estimation  of  Artemia  at  Lake  Grassmere, 
Marlborough,  New  Zealand.  Aust.  J.  Mar.  Freshwater  Res. 
36:537-557. 

KiMURA,  D.  K.,  AND  J.  W.  BALSIGER. 

1985.    Bootstrap  methods  for  evaluating  sablefish  pot  index 
surveys.    N.  Am.  J.  Fish.  Manage.  5:47-56. 
McFarlane,  G.  a.,  AND  R.  J.  Beamish. 

1983.  Overview  of  the  fishery  and  management  strategy  for 
sablefish  (Ancrpkrpoma  fimbria)  off  the  west  coast  of  Canada. 
In  Proceedings  of  the  International  Sablefish  Symposium, 
p.  13-35.  Alaska  Sea  Grant  Rep.  83-8,  Univ.  Alaska, 
Fairbanks. 

Rao,  J.  N.  K.,  and  C.  F.  J.  Wu. 

1984.  Bootstrap  inference  for  sample  surveys,  /n  J.  E. 
Gentle  (editor).  Proceedings  of  the  section  on  survey 
research  methods,  p.  106-112.    Am.  Stat.  Assoc. 

Sasaki,  T. 

1982.  Condition  of  sablefish  stocks  in  the  North  Pacific.  Far 
Seas  Fish.  Lab.  Fish.  Agency  Jpn.,  Shimizu,  17  p.  (Document 
submitted  to  the  International  North  Pacific  Fisheries 
Commission.) 

1985.  Studies  on  the  sablefish  resources  in  the  North  Pacific 
Ocean.  Far  Seas  Fish.  Res.  Lab.,  Bull.  22, 107  p.  Fisheries 
Agency  of  Japan,  Shimizu. 

1986.  Stock  assessment  of  sablefish  in  the  eastern  Bering 
Sea,  Aleutian  Islands  region,  and  the  Gulf  of  Alaska.  Far 
Seas  Fish.  Res.  Lab.,  Fish.  Agency  Jpn.,  Shimizu,  33  p. 

Sasaki,  T.,  D.  Rodman,  and  K.  Funato. 

1983.  Preliminary  report  on  Japan-U.S.  joint  longline  survey 
by  Ryusho  maru  No.  15  in  the  eastern  Bering  Sea,  Aleutian 
region  and  Gulf  of  Alaska,  1982.  Far  Seas  Fish.  Res.  Lab., 
Fish.  Agency  Jpn.,  Shimizu,  116  p. 

Shreider,  Y.  a. 

1966.    The  Monte  Carlo  method.    Pergammon  Press,  N.Y. 


452 


PELAGIC  BIOGEOGRAPHY  OF  THE  ARMORHEAD,  PSEUDOPENTACEROS 
WHEELERI,  AND  RECRUITMENT  TO  ISOLATED  SEAMOUNTS 

IN  THE  NORTH  PACIFIC  OCEAN 

George  W.  Boehlerti  and  Takashi  Sasaki^ 

ABSTRACT 

The  pelagic  armorhead,  Pseudopentaceros  wheeleri,  occurs  widely  in  the  North  Pacific  Ocean.  Benthic 
specimens  have  been  taken  from  Japan,  the  Hawaiian  Archipelago,  and  the  west  coast  of  North  America, 
but  the  main  reproductive  populations  are  located  on  southern  Emperor-northern  Hawaiian  Ridge  sea- 
mounts  between  lat.  29°  and  35°N.  The  period  between  spawning  and  recruitment  to  the  seamounts 
is  apparently  between  1.5  and  2.5  years,  suggesting  an  extended  pelagic  existence.  We  describe  the 
distributional  patterns  in  the  North  Pacific  based  upon  over  30  years  of  published  and  unpublished  records. 
The  majority  of  pelagic  specimens  are  captured  in  the  subarctic  water  mass  in  the  northeast  Pacific. 
Based  upon  the  distributional  patterns  and  the  oceanography  of  the  North  Pacific,  we  propose  migratory 
paths  for  both  the  main  population  and  for  the  individuals  that  occur  rarely  in  other  locations.  The  long 
pelagic  period  and  variability  in  ocean  conditions  may  play  an  important  role  in  recruitment  to  seamounts 
and  the  variability  in  year-class  strength  for  this  species. 


The  pelagic  armorhead,  Pseudopentaceros  wheeleri, 
is  a  member  of  the  boarfish  family  Pentacerotidae. 
Until  recently,  considerable  confusion  existed  about 
its  taxonomy  and  distribution.  Originally  described 
as  Pentaceros  richardsoni  Smith  1844,  it  was 
thought  to  be  distributed  virtually  worldwide,  with 
centers  of  abundance  in  the  North  Pacific  and  in  the 
South  Atlantic  near  South  Africa  (Fujii  1986).  Oc- 
currences were  typically  sporadic;  most  records 
were  from  pelagic  captures,  hence  the  name  pelagic 
armorhead.  Several  authors,  including  Welander  et 
al.  (1957),  Clemens  and  Wilby  (1961),  and  Wagner 
and  Bond  (1961),  used  the  name  Pseudopentaceros 
richardsoni,  but  more  recent  studies  used  the 
original  binomial  following  Follett  and  Dempster 
(1963). 

The  1967  discovery  of  large  concentrations  of 
armorhead  in  the  mid-Pacific,  over  southern 
Emperor-northern  Hawaiian  Ridge  (SE-NHR) 
seamounts  (from  lat.  29°  to  35°N)  (Sasaki  1974; 
Uchida  and  Tagami  1984)  stimulated  increased 
interest  in  this  species.  Over  the  next  10  years, 
nearly  1  million  metric  tons  (t)  were  taken  by  Soviet 
and  Japanese  trawlers  (Borets  1975;  Takahashi  and 
Sasaki  1977).  The  increased  availability  of  specimens 
allowed  Hardy  (1983)  to  revise  the  family.  He  first 


'Southwest  Fisheries  Center  Honolulu  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  2570  Dole  Street,  Honolulu,  HI 
96822-2396. 

^Far  Seas  Fisheries  Research  Laboratory,  5-7-1  Orido,  Shimizu, 
Shizuoka  424,  Japan. 


separated  the  Pentaceros  richardsoni  complex 
from  other  members  of  the  genus  by  referring  it  to 
Pseudopentaceros  Bleeker,  based  on  morphological 
considerations.  Second,  he  separated  the  complex 
into  three  species:  P.  richardsoni  confined  to  the 
Southern  Hemisphere,  and  P.  wheeleri  and  P. 
pectoralis  in  the  North  Pacific.  The  features  used 
to  distinguish  P.  wheeleri  and  P.  pectoralis  were 
largely  morphological.  Pseudopentaceros  pectoralis 
is  more  robust  and  deeper  bodied  and  its  dis- 
tribution is  typically  pelagic;  P.  wheeleri  was 
known  only  from  benthic  specimens  on  sea- 
mounts. Hardy  (1983),  however,  lacked  transitional 
specimens;  subsequent  work  based  on  morpho- 
logical and  electrophoretic  grounds  revealed  that 
P.  wheeleri  was  a  morphological  derivative  of 
P.  pectoralis,  with  changes  occurring  after  settle- 
ment. The  deeper  bodied  pelagic  form  ceases  growth 
in  length  after  recruiting  to  the  seamounts  and 
instead  transforms  body  shape  to  a  leaner  form. 
"Fat"  and  "lean"  specimens  of  the  same  length  thus 
differ  significantly  in  appearance  (Humphreys  et  al. 
in  press). 

Pseudopentaceros  wheeleri  has  an  unusual  life 
history.  Spawning  occurs  at  the  benthic  population 
centers  at  the  SE-NHR  seamounts  between  Novem- 
ber and  March  (Sasaki  1974;  Borets  1976;  Bilim  et 
al.  1978).  Larvae  and  juveniles  are  pelagic  (Honma 
and  Mizusawa  1969;  Fedosova  and  Komrokov  1975; 
Borets  and  Sokolovsky  1978)  and  widely  distributed 
in  the  North  Pacific.  Recruitment  to  the  seamounts 


Manuscript  accepted  April  1988. 
Fishery  Bulletin;  Vol.  86,  No.  3,  1988. 


453 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


occurs  between  ages  1.5  and  2.5  years,  but  in  the 
major  spawning  population  centers,  over  95%  of  the 
fish  are  <2  years  (Uchiyama  and  Sampaga^).  This 
lack  of  older  specimens  and  presence  of  fish  in  poor 
physiological  condition  has  led  to  suggestions  that 
this  species  is  semelparous,  with  death  after  a  single 
spawning  (Humphreys  and  Tagami  1986;  Hum- 
phreys et  al.  in  press).  The  long  interval  between 
spawning  and  recruitment  for  this  species  suggests 
that  oceanographic  conditions  in  the  North  Pacific 
regulate  its  distribution  (Boehlert  1986). 

Published  records  of  the  pelagic  distribution  of 
P.  wheeleri  are  too  few  and  varied  to  understand  its 
biogeography.  In  different  years,  specimens  have 
been  caught  in  the  Gulf  of  Alaska,  near  the  Aleu- 
tian Islands,  and  off  the  coasts  of  Japan,  Oregon, 
California,  and  British  Columbia.  In  this  paper,  we 
document  the  pelagic  and  benthic  occurrences  from 


'Uchiyama,  J.  H.,  and  J.  Sampaga.  In  review.  Age  and  growth 
of  the  pelagic  armorhead,  Pseudopentaceros  wheeleri,  at  Hancock 
Seamounts.  Southwest  Fisheries  Center  Honolulu  Laboratory, 
National  Marine  Fisheries  Service,  NOAA,  2570  Dole  Street, 
Honolulu,  HI  96822-2396. 


both  published  and  unpublished  accounts,  consider 
this  distributional  pattern  in  light  of  general  ocean- 
ographic conditions  in  the  North  Pacific,  propose 
hypotheses  about  the  migration  and  recruitment  of 
armorhead  to  the  seamounts  of  the  central  North 
Pacific,  and  assess  interannual  variation  in  abun- 
dance and  how  it  may  relate  to  oceanographic 
variability. 

MATERIALS 

The  data  sources  used  include  published  and  un- 
published collection  records  from  throughout  the 
North  Pacific  Ocean.  Published  records  on  occur- 
rences in  Japan  (Abe  1957,  1969;  Zama  et  al.  1977; 
Okamura  et  al.  1982),  the  eastern  North  Pacific 
(Welander  et  al.  1957;  Larkins  1964;  Honma  and 
Mizusawa  1969;  Chikuni  1970;  Ignell  et  al.  1986), 
and  the  west  coast  of  North  America  (Wagner  and 
Bond  1961;  Follett  and  Dempster  1963;  Smith  1965) 
were  typically  of  single  or  a  few  specimens.  Larger 
numbers  of  unpublished  collection  records  were  in 
data  from  large-scale  surveys  (Table  1).  These  data 


Table  1  .—Data  bases  searched  for  pelagic  armorhead,  Pseudopentaceros  wheeleri,  captures  excluding  single 
collections  and  literature  reports.  Areas  and  seasons  are  averages  over  the  years  covered. 


Years,  season  effective 

Area 

Data  source 

Lat.  N 

Long. 

Salmon  drift  gill-net  surveys^ 

1972-86,  spring-fall 

38°-65<' 

140°E-166°W 

University  of  Washington  (FRI) 

purse  seining,  longlining^ 
Canada  salmon  longlining^ 

1956-82,  spring-summer 

42°-60° 

165°E-125°W 

1962-67,  spring-summer 

42°-54° 

120°-145°W 

Bureau  of  Commercial  Fisheries 

salmon  gill  net^'^ 

1955-71,  spring-summer 

40°-60° 

165'»E-125°W 

Oshoro  Maru  salmon 

1963-66,  1968,  1969,  1971, 

gill-net-longline  surveys'* 

1974-86,  spring-summer 

36°-66° 

163°E-124°W 

Hokusei  Maru  squid  and  salmon 

gill-net  surveys'* 

1973-86,  summer 

18°-58° 

141°E-156°W 

Japan  Marine  Fishery  Resource 

Research  Center  pomfret  surveys* 

1979-82,  all  months 

22°-49° 

143°E-124°W 

Japanese  commercial  whaling  reports* 

1952-79,  summer 

40°-58° 

Pacific  Biological  Station 

1983,  1985-86, 

gill-net  surveys'^ 

spring-summer 

47°-54° 

138«'-130<'W 

Taiwan  Fisheries  Research  Institute 

squid  surveys® 

1986,  July-August 

38°-46° 

153°E-175°W 

National  Marine  Fisheries  Service 

Auke  Bay  cooperative 

squid  gill-net  surveys^ 

1985-86 

43°-55° 

145°-175°W 

Japan  Fisheries  Agency 

squid  gill-net  surveys 

1986-87,  July-August 

36°-47° 

150°-165°W 

'Salmon  research  data  file.  North  Pacific  Ocean,  1972-86.  Salmon  Division,  Far  Seas  Fisheries  Research  Latxjratory,  Shimizu, 
Japan. 

2t^acy  et  al   1978 

sLarklns  1964. 

♦Data  record  of  oceanographic  observations  and  exploratory  fishing.  No.  1  (1957)-No.  28  (1985)  Faculty  of  Fisheries,  Hokkaido 
University. 

sjapan  Marine  Fishery  Resourse  Research  Center  1980,  1983a,  1983b,  1985 

^Biological  data  file  of  whales  In  the  North  Pacific  Ocean,  1952-79.  Whale  Section,  Far  Seas  Fisheries  Research  Laboratory, 
Shimizu.  Japan.  See  also  ChikunI  (1970). 

'Sloan  1983;  Robinson  and  Jamieson  1984. 

'Z.  Shyu,  Taiwan  Fisheries  Research  Institute,  Keelung  20220,  Taiwan,  pers.  commun.  May  1987. 

^Ignell  et  al.  1986. 


454 


BOEHLERT  and  SASAKI:  PELAGIC  BIOGEOGRAPHY  OF  THE  ARMORHEAD 


are  seasonally  limited  to  primarily  spring,  summer, 
and  early  fall  months,  but  cover  1952-87  and  pro- 
vide broad  geographic  coverage  between  lat.  18° 
and  66 °N.  Greater  detail  and  a  summary  of  many 
of  these  surveys  are  provided  by  Macy  et  al.  (1978). 
Since  armorhead  were  an  incidental  catch,  it  is  dif- 
ficult to  assess  the  relative  value  of  the  different 
surveys  with  respect  to  sampling  effort. 

The  most  typical  sampling  gears  used  were  long- 
lines,  gill  nets,  and  purse  seines  targeting  salmon, 
squid,  or  pomfret;  rarer  collections  were  made  with 
plankton  nets,  dip  nets,  or  hook  and  line.  Thus, 
sampling  was  typically  in  surface  waters,  most  likely 
in  the  upper  50  m;  the  true  depth  distribution  of  the 
pelagic  animals,  however,  is  unknown.  The  only 
other  "gear"  was  the  sei  whale,  Balaenoptera  bore- 
alis,  from  which  stomach  contents  were  studied  for 
about  27  years;  Chikuni  (1970)  reported  armorhead 
in  the  stomachs. 

RESULTS  AND  DISCUSSION 

Distributional  Patterns 

The  known  center  of  distribution  and  spawning 
for  benthic  P.  wheeleri  is  in  the  SE-NHR  seamount 


region,  bounded  by  lat.  29°-35°N  and  long.  171°E- 
179°W  (Takahashi  and  Sasaki  1977;  Humphreys  and 
Tagami  1986).  These  reproductive  fish  are  typical- 
ly between  23.0  and  28.5  standard  length  (SL) 
(Sasaki  1986)  and  range  in  age  from  1.5  to  2.5  years 
(Uchiyama  and  Sampaga  fn.  3).  They  are  found  at 
depths  between  200  and  500  m  (Takahashi  and 
Sasaki  1977).  Other  benthic  occurrences  have  been 
recorded  but  are  sporadic  (Fig.  1).  Several  speci- 
mens were  captured  off  Japan  in  1957  (Abe  1957), 
1969,  1971-73,  1976  (Zama  et  al.  1977),  and  1979 
(Okamura  et  al.  1982).  These  fish  were  typically  the 
same  size  as  those  captured  on  the  seamounts,  but 
no  mention  of  reproductive  status  was  made.  Fish 
of  similar  length  occur  rarely  on  the  west  coast  of 
North  America,  but  only  between  lat.  37°00'  and 
44°25'N  (Wagner  and  Bond  1961;  Follett  and  Demp- 
ster 1963;  Smith  1965).  Again,  reproductive  status 
is  unknown  for  these  specimens.  No  benthic  occur- 
rences off  British  Columbia  or  Alaska  have  been 
reported,  despite  extensive  trawling  surveys  which 
included  seamounts  (Hughes  1981;  Alton  1986). 
Large  specimens  have  been  taken  rarely  in  the 
Hawaiian  Archipelago  (Fig.  1;  Randall  1980; 
Humphreys  et  al.  in  press)  and  are  typically  4-5 
years  old  and  appear  to  be  in  reproductive  condi- 


120' 


150 


Figure  1.— Known  distribution  of  benthic  occurrences  of  pelagic  armorhead,  Pseudopentaceros  wheeleri.  Squares  represent  the  main 
population  centers  at  central  North  Pacific  seamounts.  All  others  are  rare  or  sporadic  occurrences. 


455 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


tion.  Their  relationship  with  the  SE-NHR  seamount 
populations  is  unknown. 

The  most  common  pelagic  occurrences  (1955-87) 
were  fish  ranging  from  18  to  26  cm  SL;  smaller  sizes 
are  poorly  represented,  probably  because  of  the 
nature  of  the  sampling  gear.  Smaller  specimens 
were  generally  captured  with  plankton  nets  (Fedo- 
sova  and  Komrakov  1975;  Borets  and  Sokolovsky 
1978),  dip  nets  (Honma  and  Mizusawa  1969;  Ran- 
dall 1980;  Fujii'*),  and  in  one  case,  in  a  whale  stomach 
(Kawamura  1982).  The  sea-surface  temperatures  at 
which  the  specimens  were  captured  ranged  from 
8.6°  to  15.0°C  (average  12.1°C).  For  all  years, 
pelagic  captures  were  restricted  to  the  eastern 
North  Pacific,  with  the  exceptions  of  larvae  or  early 


juveniles  captured  near  the  spawning  centers  at  the 
seamounts  (Komrakov  1970;  Table  2),  over  20 
specimens  in  a  Bryde's  whale  stomach  in  1979 
(Kato^,  Fig.  2B),  and  two  individuals  captured  in 
1986  at  long.  155°E  (Fig.  2).  This  is  despite  exten- 
sive sampling  in  the  western  North  Pacific,  par- 
ticularly by  the  Japan  Marine  Fishery  Resource 
Research  Center  (JAMARC)  and  the  Hokkaido 
University,  and  in  the  Bering  or  Okhotsk  Seas  (Table 

1). 
Pelagic  captures  in  the  1950's  were  sporadic,  but 

several  fish  were  taken  north  of  lat.  50°N,  especially 

in  1958  (Fig.  2 A).  Relatively  few  were  captured  in 

the  1960's,  with  the  exception  of  July  through  early 

August  1969,  when  the  armorhead  was  an  impor- 


*E.  Fujii,  Nippon  Luther  Shingaku  Daigaku,  Tokyo,  Japan,  pers. 
commun.  July  1987. 


^H.  Kato,  Whales  Research  Institute,  Tokyo,  Japan,  pers. 
commun.  December  1987. 


Table  2. — Pelagic  specimens  of  armorhead,  Pseudopentaceros  wheeleri,  for  which  sizes  were 
available.  The  growth  curve  from  Uchiyama  and  Sampaga  (text  footnote  3),  based  upon 
enumeration  of  daily  growth  increments,  was  used  to  deduce  age  from  length.  For  the  youngest 
fish  (bottom),  average  readings  from  daily  growth  increments,  rather  than  the  growth  curve, 
were  used.  Data  are  from  various  published  sources  and  collections  listed  in  Table  1 .  (SST 
=  sea-surface  temperature.) 


Standard 

Lat. 

length 

Year 

Date 

N 

Long. 

SST 

(mm) 

Age  (yr) 

No. 

Gear 

1955 

9/27 

45°41' 

165°5'W 



108-122 

0.38-0.42 

2 

Gill  net 

1955 

9/27 

45°35' 

165°5'W 

— 

200 

0.79 

Dip  net 

1956 

7/31 

45°49' 

160°3'W 

12.2 

245 

1.29 

Gill  net 

1956 

9/15 

45°00' 

155°00'W 

12.1 

245 

1.29 

2 

Gill  net 

1956 

9/17 

49°00' 

150°00'W 

13.2 

245 

1.29 

Gill  net 

1956 

9/17 

51°00' 

150°00'W 

11.0 

245 

1.29 

Gill  net 

1958 

8/14 

44°39' 

174°48'W 

— 

64-91 

0.26-0.33 

2 

Dip  net 

1958 

8/25 

49°43' 

146°10'W 

11.8 

256 

1.50 

Gill  net 

1963 

8/24 

49°0' 

162°0W 

12.9 

249 

1.40 

Gill  net 

1967 

6/15 

54°38' 

150°1'W 

8.8 

121-134 

0.42-0.46 

4 

Dip  net 

1968 

7/ 

41°30' 

165°30'W 

— 

285 

>2.00 

1 

Handline 

1969 

4/1 

29°48' 

179°5'E 

— 

8-23 

0.08-0.25 

? 

Plankton 

1969 

4/1 

31  °6' 

176°0'E 

— 

8-23 

0.08-0.25 

— 

Plankton 

1969 

4/1 

32°6' 

173°0'E 

— 

8-23 

0.08-0.25 

— 

Plankton 

1972 

5/21 

38°30' 

175°3W 

14.3 

42-50 

0.21-0.23 

5 

Whale  stomach 

1984 

7/25 

45°30' 

155°0'W 

13.0 

262-265 

1.81-2.02 

3 

Gill  net 

1984 

7/25 

45°26' 

154°58'W 

12.0 

278 

>2.00 

2 

Longline 

1985 

7/9 

46°57' 

129°4W 

— 

272 

>2.00 

1 

Gill  net 

1985 

7/10 

47°30' 

128°36W 

— 

272-298 

>2.00 

2 

Gill  net 

1985 

7/11 

47°59' 

129°19'W 

— 

277 

>2.00 

1 

Gill  net 

1985 

7/13 

46°23' 

131°29W 

— 

188-219 

0.71-0.94 

5 

Gill  net 

1985 

7/14 

46°40' 

131°8W 

— 

183-233 

0.68-1.1 

9 

Gill  net 

1985 

7/15 

46°35' 

131°5W 

— 

206 

0.83 

1 

Gill  net 

1985 

7/19 

46°54' 

131°28'W 

— 

190-217 

0.72-0.92 

2 

Gill  net 

1985 

7/21 

47°18' 

130°23'W 

— 

191-220 

0.73-0.95 

3 

Gill  net 

1985 

7/22 

47°35' 

130°48'W 

— 

190-201 

0.72-0.79 

2 

Gill  net 

1985 

7/23 

47°37' 

130°3rW 

— 

198-200 

0.77-0.79 

2 

Gill  net 

1985 

7/12 

47°0' 

155°1'W 

11.6 

263-265 

1.87-2.02 

2 

Longline 

1985 

7/13 

45°28' 

155°5W 

11.8 

238-262 

1.17-1.81 

12 

Longline 

1985 

7/11 

47'='0' 

155°0'W 

11.6 

248-262 

1.35-1.81 

5 

Gill  net 

1985 

7/12 

45°30' 

155°0W 

11.8 

235-240 

1.12-1.20 

4 

Gill  net 

1985 

7/13 

44°0' 

155°0'W 

12.8 

248-258 

1.35-1.63 

4 

Gill  net 

1985 

2/23 

30°  16' 

181°18W 

— 

8-15 

0.08-0.16 

15 

Neuston 

1985 

2/24 

29°27' 

180°56'W 

— 

5-15 

0.04-0.16 

15 

Neuston 

1986 

8/3 

43°51' 

164°54'W 

13.0 

50-100 

0.23-0.35 

5 

Dip  net 

456 


BOEHLERT  and  SASAKI:  PELAGIC  BIOGEOGRAPHY  OF  THE  ARMORHEAD 


150° 


120' 


Figure  2.— Records  of  pelagic  occurrences  of  armorhead,  Pseudopentaceros  wheeleri,  in  the  North  Pacific.  Most  data  were  obtained 
fronn  either  published  records  or  unpublished  data  described  in  Table  1:  Each  symbol  represents  a  collection  taking  armorhead, 
rather  than  single  specimens.  (A)  1955-69.  Here,  note  that  the  area  in  the  box  contains  the  locations  of  195  sei  whales  captured 
in  July-August  1969  that  had  fed  extensively  upon  armorhead.  The  samples  from  the  central  Pacific  were  larvae  and  early  juveniles 
(Fedosova  and  Komrakov  1975).    (B)  1970-87. 


457 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


tant  diet  component  of  sei  whales  taken  by  the 
Japanese  commercial  fleet.  This  species  normally 
feeds  on  zooplankton  and  micronekton  (Kawamura 
1982),  but  in  this  year,  195  whales  were  recorded 
to  have  fed  extensively  on  armorhead.  Although 
data  records  for  whale  stomach  contents  extend 
from  1952  to  1979,  1969  was  the  only  year  when 
large  numbers  fed  on  armorhead,  with  the  excep- 
tion of  two  occurrences  each  in  1971  and  1972. 
Based  on  the  known  feeding  mode  of  sei  whales, 
Chikuni  (1970)  suggested  that  the  armorhead  ap- 
parently schools  in  surface  waters.  In  the  1970's, 
catches  were  relatively  small,  but  in  the  1980's, 
specimens  have  been  captured  in  each  year,  with  the 
greatest  catches  in  1985.  In  that  year,  fish  occurred 
in  more  easterly  areas  as  compared  to  other  years. 


Relationship  of  Distribution  Patterns 
to  North  Pacific  Oceanography 

The  SE-NHR  seamounts  are  located  in  the  mid- 
Pacific  transition  zone,  between  subarctic  and  sub- 
tropical water  masses  (Roden  1970).  The  spawning 
season  of  armorhead  typically  lasts  from  late 
November  through  March  (Sasaki  1974;  Bilim  et  al. 
1978),  and  larvae  are  neustonic,  at  least  through  the 


first  few  months  of  life  (G.  W.  Boehlert  unpubl. 
data).  Near  surface  drift  in  this  region  is  largely 
wind  driven  (McNally  1981);  as  shown  by  Lagran- 
gian  drifters,  mean  surface  flow  in  the  SE-NHR  sea- 
mount  region  during  winter  months  is  typically 
eastward  (Kirwan  et  al.  1978;  Emery  et  al.  1985) 
or  southeastward  (McNally  et  al.  1983),  and  long- 
term  mean  Ekman  transport  has  a  southeastward 
component  (Favorite  et  al.  1976).  Based  on  mean 
ship-drift  data,  progressive  vector  diagrams  over  a 
3-mo  period,  with  starting  points  at  four  SE-NHR 
seamounts  (Bakun^),  show  this  typical  eastward  flow 
with  a  southward  component  (Fig.  3).  If  pelagic 
armorhead  followed  such  a  pattern,  individuals 
would  remain  in  the  subtropical  gyre,  continuing 
eastward  and  then  turning  south,  entering  the 
California  Current  system.  The  scarcity  of  speci- 
mens in  this  region  (Figs.  1,  2)  suggests  instead  that 
most  fish  move  northeastward  in  some  manner, 
entering  subarctic  waters  and  residing  within  the 
Alaska  gyre;  surface  drift  in  winter  is  northeastward 
in  anomalous  years  (McNally  1981),  and  average 


'Compilation  by  the  NMFS  Pacific  Fisheries  Environmental 
Group  from  historic  ship  drift  files  assembled  by  the  U.S.  Naval 
Oceanographic  Office  (A.  Bakun,  Pacific  Fisheries  Environmen- 
tal Group,  National  Marine  Fisheries  Service,  NOAA,  P.O.  Box 
831,  Monterey,  CA  93942,  pers.  commun.  April  1987. 


36°N 


35°N 


30*N 


25°N 


17rE 


175°E 


180' 


178°W 


Figure  3.— Progressive  vector  diagrams  of  mean  surface  currents  (starting  date,  15 
December;  duration,  90  days),  from  long-term  mean  ship  drift  data  from  1°  squares, 
with  distances  calculated  on  a  daily  basis.  Triangles  indicate  starting  locations  at  four 
seamounts  with  armorhead  spawning  populations.  Each  mark  on  the  vector  between 
the  origin  and  arrow  represents  a  5-d  period.  See  text  footnote  6. 


458 


BOEHLERT  and  SASAKI;  PELAGIC  BIOGEOGRAPHY  OF  THE  ARMORHEAD 


surface  flow  is  in  this  direction  in  summer  months 
(McNally  et  al.  1983). 

The  two  available  studies  on  larval  distribution  of 
armorhead  are  conflicting  and  suggest  that  patterns 
of  movement  may  differ  from  year  to  year.  Komra- 
kov  (1970)  conducted  surveys  in  March-April  1969 
and  observed  larvae  only  at  northern  seamounts  and 
in  the  open  ocean  several  hundred  kilometers  north- 
east of  the  SE-NHR  seamounts.  Borets  (1979),  how- 
ever, observed  5-20  mm  larvae  remaining  mostly 
around  the  seamounts,  with  highest  abundance 
south  of  lat.  33°N  in  1976.  Because  spawning  oc- 
curs at  seamounts  northwest  of  this  area,  this  pat- 
tern is  consistent  with  southeastward  drift  during 
the  first  few  months  of  life  (Fig.  3).  If  larvae  remain 
in  the  seamount  region,  they  could  be  transported 
to  the  northeast  in  summer  months,  or  they  may 
actively  migrate  northeastward  after  reaching  the 
juvenile  stage.  A  similar  migration  apparently 
occurs  for  the  pomfret,  Bramajaponica,  which  prior 
to  spawning  moves  into  the  North  Pacific  current 
region  in  a  broad  latitudinal  band  between  the  sub- 
tropical convergence  and  the  subarctic  boundary; 
immature  fish  and  spent  adults  then  move  north- 
ward into  the  subarctic  region  to  feed  during  April- 
May  (Shimazaki  and  Nakamura  1981).  The  pomfret 
differs  from  the  armorhead,  however,  in  that  it 
remains  pelagic  throughout  its  life  and  also  is  abun- 
dant in  the  western  North  Pacific.  Larval  and 
juvenile  Brama  sp.  do  occur  in  the  same  area  as  lar- 
val armorhead  (Borets  and  Sokolovsky  1978;  G.  W. 
Boehlert  unpubl.  data). 

A  possible  scenario  of  movements  after  the  lar- 
val stage  can  be  deduced  from  the  ages  of  individuals 
captured  in  different  regions.  Based  upon  the 
growth  of  pelagic  armorhead  (Uchiyama  and  Sam- 
paga  fn.  3),  most  of  the  larger  specimens  indicated 
in  Figure  2  are  from  1  to  2  years  old,  and  the  pelagic 
duration  for  this  species  is  most  often  from  1.5  to 
2.5  years.  Using  daily  growth  increments  for  lar- 
val and  small  juveniles  and  fitted  growth  curves  for 
larger  juveniles  and  adults,  one  can  convert  lengths 
to  ages.  The  pelagic  specimens  of  known  length 
range  in  estimated  age  from  0.04  to  >2  years  (Table 
2).  The  youngest  animals  are  typically  found  in  the 
region  of  the  seamounts  (Komrakov  1970;  Fedosova 
and  Komrakov  1975;  Borets  and  Sokolovsky  1978), 
but  intermediate-sized  fish  are  found  north  and  east 
of  the  seamounts.  Different  age  groups  seem  to  be 
distributed  in  different  areas  in  the  eastern  North 
Pacific  (Fig.  4).  Armorhead  spawn  in  the  seamount 
region  (as  area  A  in  Figure  4)  during  November  to 
March,  and  juveniles  5-25  mm  long  are  found  in  the 
SE-NHR  seamounts  area  from  February  to  early 


April  (Fedosova  and  Komrakov  1975;  Borets  1979). 
Subsequent  occurrences  of  fish  older  than  0.25  year 
(Table  2)  are  found  only  in  the  region  northeast  of 
the  seamounts  and  in  the  Gulf  of  Alaska  (area  B  in 
Figure  4).  Northeastward  movements  are  contrary 
to  mean  ocean  currents,  but  Roden  et  al.  (1982) 
described  intense  northward  flow  along  the  axis  of 
the  southern  Emperor  Seamounts  that  could  con- 
ceivably play  a  role  in  transport  of  fish  at  the  young- 
est stages. 

Recruitment  of  later  stage  armorhead  to  the  sea- 
mounts requires  movement  to  the  west.  The  only 
significant  westward  circulation  in  the  North  Pacific 
is  found  in  the  Alaskan  Stream  (Favorite  1967).  This 
narrow  current  occurs  north  of  lat.  51  °N  and  ex- 
tends westerly  to  near  long.  170 °E,  where  it  splits 
to  two  branches,  one  turning  northerly  into  the 
Bering  Sea  and  the  other  southerly  under  the  influ- 
ence of  the  northern  Emperor  Seamounts  or  Kor- 
mandorskie  Ridge  (Favorite  1967;  dashed  line  in 
Figure  4).  Damitsky  et  al.  (1984)  described  southerly 
movement  of  this  water  to  at  least  lat.  40  °N  and 
suggested  that  it  played  a  role  in  transport  of 
planktonic  food  for  armorhead  on  the  seamounts. 
Unless  returning  armorhead  are  deep  in  the  water 
column  and  therefore  not  sampled,  distributional 
data  (Fig.  2)  do  not  support  this  route  for  westerly 
movement.  Fish  near  recruitment  size  and  age  are 
instead  captured  in  the  region  marked  C  on  Figure 
4,  south  of  the  area  where  younger  fish  are  captured. 
These  fish  apparently  migrate  back  to  the  region  of 
the  seamounts  by  some  unknown,  but  probably 
active,  mechanism. 

Two  less  important,  but  plausible,  movement 
patterns  may  explain  the  rarer  occurrences  in  south- 
ern Japan,  off  Oregon  and  California,  and  in  the 
Hawaiian  Archipelago  (Fig.  4).  Chelton  (1984)  dis- 
cussed possible  interannual  changes  in  the  lati- 
tudinal position  of  the  West  Wind  Drift  which  may 
lead  to  differing  magnitudes  of  transport  in  the 
Alaska  and  California  Currents.  The  rare  benthic 
occurrences  of  the  pelagic  armorhead  off  the  west 
coast  of  North  America  (area  D  in  Figure  4)  may 
come  from  specimens  that  drift  southward  in  the 
California  Current  in  years  of  greater  southern 
transport.  Some  of  these  may  not  settle  out  and  re- 
main within  the  subtropical  gyre,  possibly  recruit- 
ing to  the  Hawaiian  chain  far  to  the  south  of  the 
normal  reproductive  population.  This  route,  because 
of  its  distance,  apparently  takes  considerably  longer 
than  that  in  the  subarctic  gyre;  based  upon  satellite 
drifters,  McNally  et  al.  (1983)  suggested  that  a  full 
circuit  of  the  subtropical  gyre  takes  4.5  years.  The 
armorhead  collected  in  the  Northwestern  Hawaiian 


459 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Figure  4.— Distributions  of  benthic  and  pelagic  specimens  of  armorhead,  Pseudopentaceros  wheeleri,  by  age  group  with  possible 
patterns  of  movement.  Area  A  represents  the  major  spawning  area,  and  area  E  the  region  inhabited  by  the  large,  older  specimens. 
Area  B  is  the  region  in  which  specimens  younger  than  1  year  have  been  captured,  and  area  C  where  fish  from  1  to  2  years  old 
have  been  captured.  The  arrow  through  this  region  represents  the  main  population  movement  pattern.  Other  arrows  represent 
possible  movements  for  stray  fish.  Areas  marked  D  and  F  represent  locations  of  benthic  collections  from  California  and  Japan, 
respectively. 


Islands  (area  E  in  Figure  4)  are  typically  larger  than 
those  in  the  normal  part  of  the  range  and  are  corre- 
spondingly older,  with  ages  estimated  at  4  or  5  years 
(Humphreys  et  al.  in  press),  similar  to  the  time  sug- 
gested for  a  circuit  of  the  gyre  by  McNally  et  al. 
(1983). 

The  other  plausible  movement  pattern  can  be  used 
to  explain  the  existence  of  specimens  in  Japan.  Ben- 
thic specimens  of  armorhead  are  rarely  captured  in 
Japan  (Fig.  1);  a  report  of  3,000  t  landed  in  1969 
by  Soviet  fishermen  in  this  region  (Abe  1969)  may 
be  in  error,  since  the  Soviet  fishery  on  the  SE-NHR 
seamounts  developed  heavily  that  year  (Borets  1975) 
and  SE-NHR  fish  were  likely  sold  in  Japan.  The 
reproductive  condition  of  these  animals  is  not 
known,  so  the  source  of  the  spawning  population 
supplying  them  is  at  question.  The  large,  reproduc- 
tive individuals  in  area  E  (Fig.  4)  have  been  found 
as  far  south  as  lat.  23°43'N  (Humphreys  et  al.  in 
press).  It  is  possible  that  larvae  and  juveniles  are 
transported  to  Japan  in  the  northern  part  of  the 
North  Equatorial  Current  (Uda  and  Hasunuma 


1969).  This  is  consistent  with  the  capture  of  over 
20  fish  in  a  Bryde's  whale  stomach  in  September 
1979  at  lat.  26°N  (H.  Kato  fn.  5;  Fig.  2B).  Subse- 
quent captures  of  this  species  have  not  been  made 
in  Japanese  waters,  where  their  presence  may  re- 
quire a  rare  recruitment  event  from  an  upstream 
population  source,  as  has  been  suggested  for  sea- 
mount  populations  of  lobsters  (Lutjeharms  and 
Heydorn  1981).  These  animals  may  also  remain 
within  a  gyral  circulation,  however,  as  suggested  by 
the  presence  of  two  specimens  captured  in  the 
Kuroshio  in  1986  (Fig.  2B). 

Recruitment  to  the  Seamounts 

The  seasonal  timing  of  the  recruitment  of  the 
pelagic  armorhead  to  the  SE-NHR  seamounts  is 
unknown.  That  no  records  of  larger  pelagic  fish  cap- 
tured near  the  seamounts  (Fig.  2)  exist  may  be  an 
artifact  of  sampling  in  inappropriate  seasons  or  lack 
of  sampling  in  deeper  water.  The  youngest  benthic 
specimens  from  the  seamounts  were  slightly  in  ex- 


460 


BOEHLERT  and  SASAKI:  PELAGIC  BIOGEOGRAPHY  OF  THE  ARMORHEAD 


cess  of  1.5  years  in  early  summer  (Uchiyama  and 
Sampaga  fn.  3)  and  2  years  in  winter,  suggesting 
that  some  recruitment  occurs  in  spring. 

In  most  fisheries,  temporal  recruitment  patterns 
can  be  discerned  from  length-frequency  analyses, 
because  the  smaller  recruits  represent  a  larger  pro- 
portion of  the  population  during  the  season  of 
recruitment.  For  the  armorhead,  no  increase  in 
smaller  size  classes  is  apparent  in  monthly  length- 
frequency  samples.  This  may  be  due  to  cessation  of 
somatic  growth  after  recruitment  to  the  seamount 
(Humphreys  and  Tagami  1986;  Uchiyama  and  Sam- 
paga fn.  3).  Early  recruits,  with  their  deeper  bodies 
and  greater  fat  content,  differ  morphologically  from 
longer  seamount  residents.  The  transition  from 
so-called  "fat"  to  "lean"  morphotypes  occurs  in 
association  with  development  of  gonads  (Humphreys 
et  al.  in  press).  Thus,  an  index  of  morphological 
change  can  be  used  to  detect  recruitment  patterns, 
much  the  same  as  length  frequencies  can  be  used 
for  other  species.  Condition  factor  is  frequently  used 
to  assess  "fatness"  of  fish;  it  is  normally  expressed 
as  weight  divided  by  length  to  a  power  (typically  3) 
multiplied  by  some  scaling  factor  (Ricker  1975).  For 
armorhead,  there  is  a  marked  change  in  condition 
factor  with  morphological  change;  newly  recruiting 
fish  have  high  condition  factors  relative  to  inter- 


mediate or  lean  fish.  By  considering  the  monthly 
proportion  of  fish  above  an  arbitrary  value  of  con- 
dition factor,  we  can  estimate  the  influx  of  new 
recruits  to  the  seamounts.  During  May  1972- 
December  1973,  the  major  influx  of  new  recruits 
with  a  high  condition  factor  occurred  in  April-May 
1973  (Fig.  5).  The  data  for  1972  are  incomplete,  but 
some  recruitment  apparently  occurred  in  August 
and  September  (Fig.  5).  Differences  in  seasonality 
of  recruitment  between  1972  and  1973  may  be 
indicative  of  interannual  variability  in  temporal 
recruitment  patterns. 

An  influx  of  fish  to  the  seamounts  may  also  be 
reflected  in  the  catch  per  unit  effort  (CPUE),  an 
index  of  stock  abundance.  Monthly  averages  of 
CPUE  (in  metric  tons  per  hour)  by  Japanese 
trawlers  for  armorhead  at  the  SE-NHR  seamounts 
were  highest  in  March  and  April  (Sasaki  1986). 
Overall  armorhead  CPUE  decreased  continuously 
from  54.1  t/h  in  1972  to  only  0.3  t/h  in  1982  (Sasaki 
1986)  and  further  decreased  to  0.06-0.07  t/h  in 
1983-85  (T.  Sasaki  unpubl.  data).  The  estimated 
CPUE  in  1986,  however,  was  0.31  t/h,  an  increase 
of  four  or  five  times  that  in  the  previous  year.  The 
CPUE  of  trawlers  operating  in  May-Septem.ber 
1986  was  highest  in  May,  decreased  in  June  and 
July,  but  increased  slightly  in  August  and  Septem- 


40 


35- 


30- 


H         25 

z 

HI 

O         20- 

oc 

UJ 

°-        15H 


10 


5     6     7     8      9     10    11     12     1      2     3     4      5     6     7     8     9     10    11     12 


1972 


MONTH 


1973 


Figure  5.— Seasonality  of  the  proportion  of  armorhead,  Pseudopentaceros  wheeleri,  with 
condition  factors  >2.0  from  four  seamounts  of  the  northern  Hawaiian  Ridge  (Southeast 
Hancock,  Northwest  Hancock,  C-H,  and  Colahan)  for  1972-73.  Squares,  males;  triangles, 
females.    Data  are  based  upon  2,104  males  and  1,704  females. 


461 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


ber.  Based  on  all  the  information,  the  major  recruit- 
ment may  occur  in  spring  with  some  additional 
recruitment  in  August  and  September  (Fig.  5);  data 
are  not  sufficient  to  determine  the  recruitment 
pattern  in  detail. 

A  broad  geographic  separation  exists  between  the 
location  of  pelagic  captures  of  larger  armorhead  and 
the  location  of  the  spawning  populations  (Figs.  2, 
4).  If  recruitment  to  the  seamounts  occurs  predom- 
inantly in  spring  (as  suggested  for  1973  in  Figure 
5),  then  temporal  sampling  patterns  may  have 
missed  these  fish,  although  JAMARC  pomfret 
surveys  covered  this  area  in  some  seasons  (Table  1). 
Locating  the  seamounts,  which  have  small  (2-5  km) 
summits  must  be  a  formidable  task  given  the  wide 
ocean  areas  over  which  armorhead  are  distributed. 
A  similar  situation  exists  for  rock  lobster,  Jasus 
tristani,  in  the  South  Atlantic,  that  recruits  from 
an  upstream  population  some  2,000  km  away  and 
in  sufficient  numbers  to  support  a  fishery  on  Vema 
Seamount  in  some  years  (Lutjeharms  and  Heydorn 
1981). 

Open-ocean  migrations  of  fishes  may  depend 
upon  many  potential  cues,  including  electric  fields 
(McCleave  and  Power  1978),  magnetic  fields 
(Walker  1984),  gyres  (Williams  1972),  and  phero- 
mones  (Nordeng  1977).  Certain  characteristics  of 
these  isolated,  open-ocean  seamounts  may  promote 
their  detection  by  armorhead.  First,  current-topog- 
raphy interactions  may  create  significant  signals  in 
physical  and  biological  features.  The  region  of  the 
SE-NHR  seamounts  is  active  in  front  development 
(Roden  and  Paskausky  1978);  upwelling,  eddies,  and 
other  aspects  of  flow  complexity  also  occur  around 
these  seamounts  (Roden  et  al.  1982)  and  down- 
stream from  them  (Royer  1978).  The  biological  sig- 
nals may  include  increased  chlorophyll  in  response 
to  upwelling  or  doming  of  isotherms  (Genin  and 
Boehlert  1985),  or  aggregations  of  various  organ- 
isms and  the  larger  animals  which  prey  upon  them 
around  seamounts  (see  review  in  Boehlert  and  Genin 
1987).  Gravity  anomalies  associated  with  seamounts 
may  also  play  a  role;  positive  gravity  anomalies  exist 
at  the  summit  and  slopes,  and  negative  anomalies 
are  seen  in  the  surrounding  "moat"  regions  (Wedge- 
worth  and  Kellogg  1987).  Seamounts  often  have 
strong  magnetic  dipoles  associated  with  them,  and 
the  dipole  might  serve  as  a  landmark  for  magnetic 
orientation  by  fish  (Klimley^).  While  fish  have  been 
shown  to  have  magnetoreceptors  (Walker  et  al. 
1985),  their  use  of  magnetic  maps  remains  specula- 


T.  Klimley,  Scripps  Institution  of  Oceanography,  La  JoUa,  CA 
92038,  pers.  commun.  30  June  1987. 


tive  but  possible  (Gould  1985).  Although  we  cannot 
postulate  the  mechanism  that  armorhead  use  for 
recruitment,  it  is  clear  that  the  effects  of  seamounts 
may  be  detected  at  distances  greater  than  their  area 
alone  would  suggest. 

Interannual  Variations  in 
Recruitment  Strength 

The  year-class  strength  of  armorhead  recruiting 
to  seamounts  appears  to  be  independent  of  the 
parent  stock  size  (Wetherall  and  Yong  1986).  As  an 
example,  Borets  (1975)  estimated  that  on  the  SE- 
NHR  seamounts  from  1968  to  1973,  the  stock  size 
varied  by  a  factor  of  <1.8  while  recruitment  varied 
by  >5.5  times.  The  relative  abundance  of  armorhead 
at  the  SE-NHR  seamounts  area  increased  in  1986 
after  a  long  period  at  a  very  low  level.  This  increase 
probably  corresponds  to  the  high  abundance  of 
pelagic  specimens  captured  in  the  northeastern 
Pacific  in  1985  (Fig.  2B;  Table  2)  that  consisted  of 
two  age  groups.  The  increased  recruitment  at  the 
SE-NHR  seamounts  in  1986  suggests  that  environ- 
mental conditions  were  favorable  to  the  survival  of 
young  armorhead  in  the  1984  and  1985  winter 
seasons. 

A  wide  variety  of  factors,  both  biotic  and  physical, 
can  affect  survival  and  ultimate  year-class  strength 
in  fishes  (Lasker  1978).  During  the  2  years  between 
spawning  and  recruitment  for  armorhead,  an  ex- 
tended migration  through  varied  pelagic  environ- 
ments occurs  (Fig.  4).  Feeding  conditions  for  larval 
and  juvenile  stages  are  characterized  by  interannual 
variability;  Fedosova  (1980)  suggested  that  warm 
years  were  more  productive  for  zooplankton  prey 
and,  thus,  favorable  to  the  survival  of  young  armor- 
head.  Interannual  variation  in  atmospheric  systems 
(Seckel  1988)  or  large-scale  ocean  currents  of  the 
kind  described  by  Mysak  et  al.  (1982)  may  also  play 
a  role  in  armorhead  recruitment  strength.  Changes 
in  the  position  of  the  Alaska  gyre  by  up  to  700  km 
southwest  of  its  normal  position  may  have  occurred 
from  1981  to  1985,  with  an  associated  increase  in 
seawater  temperature  (Royer  and  Emery  1987). 
Large-scale  atmospheric  phenomena,  such  as  the 
longitudinal  position  of  the  Aleutian  Low,  may 
create  definite  interannual  variations  in  winter  wind 
systems  that  may  be  seen  in  surface  current  pat- 
terns (Seckel  1988).  These  patterns  may,  in  turn, 
be  related  to  the  latitudinal  position  of  the  subtrop- 
ical front,  which  varies  interannually  between  lat. 
28°  and  32°N  (Roden  1970).  Variability  in  these 
features  influences  surface  drift  (McNally  1981), 
which  in  turn  affects  the  neustonic  young  of  armor- 


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BOEHLERT  and  SASAKI:  PELAGIC  BIOGEOGRAPHY  OF  THE  ARMORHEAD 


head.  If  flow  in  certain  years  results  in  transport 
of  armorhead  to  other  regions  (such  as  the  western 
Pacific  or  the  southern  part  of  the  northeast  Pacific; 
Fig.  4),  it  is  possible  that  large-scale  mortalities  of 
armorhead  occur  later  in  life,  resulting  in  weak  year 
classes  at  the  SE-NHR  seamounts. 

ACKNOWLEDGMENTS 

We  appreciate  assistance  from  many  individuals 
who  provided  access  to  different  data  sources  used 
in  this  paper,  including  Akito  Kawamura,  Colin  Har- 
ris, Sigeiti  Hayasi,  Genji  Kobayashi,  and  Glen  Jamie- 
son.  We  also  thank  Ted  Pietsch,  Gunter  Seckel,  and 
Peter  Klimley  and  an  anonymous  reviewer  for  com- 
ments on  an  earlier  draft  of  the  manuscript. 

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B.  Keating,  P.  Frj-er,  R.  Batiza,  and  G.  W.  Boehlert  (editors), 
Seamounts,  islands,  and  atolls,  p.  73-84.  Geophys.  Monogr. 
43. 

Welander,  a.  D.,  R.  C.  Johnson,  and  R.  A.  Hajny. 

1957.  Occurrence  of  the  boarfish,  Pseudopentaceros  richard- 
soni, and  the  zeid,  Allocyttus  verrucosus,  in  the  North 
Pacific.    Copeia  1957:244-246. 

Wetherall,  J.  A.,  and  M.  Y.  Y.  Yong. 

1986.  Problems  in  assessing  the  pelagic  armorhead  stock  on 
the  central  North  Pacific  Seamounts.  In  R.  N.  Uchida, 
S.  Hayasi,  and  G.  W.  Boehlert  (editors),  Environment  and 
resources  of  seamounts  in  the  North  Pacific,  p.  73-85.  U.S. 
Dep.  Commer.,  NOAA  Tech.  Rep.  NMFS  43. 

Williams,  F. 

1972.    Consideration  of  three  proposed  models  of  the  migra- 
tion of  young  skipjack  tuna  {Katsuwoniis  pelamis)  into  the 
eastern  Pacific  Ocean.    Fish.  Bull.,  U.S.  70:741-762. 
Zama,  a.,  M.  Asai,  and  F.  Yasuda. 

1977.  Records  of  the  pelagic  armorhead,  Pentaceros  richard- 
soni from  Hachijo  Island  and  the  Ogasawara  Islands.  Jpn. 
J.  Ichthyol.  24:57-60. 


465 


THE  TIMING  AND  SIGNIFICANCE  OF  DENSITY-DEPENDENT  AND 
DENSITY-INDEPENDENT  MORTALITY  OF  AMERICAN  SHAD, 

ALOSA  SAPIDISSIMA 

Thomas  F.  Savoy  and  Victor  A.  Creccoi 


ABSTRACT 

We  used  stock-recruitment,  pre-  and  postrecruitment  mortality  data  for  American  shad,  Alosa 
sapidissima,  in  the  Connecticut  River  to  estimate  density-dependent  and  density-independent  mortality 
rates  at  the  prejuvenile  (age  1-100  days)  and  postjuvenile  (age  101  days  to  5  years)  phases.  Total  post- 
juvenile  mortality  rates  from  1967  through  1982  were  dominated  by  density-independent  mortality,  with 
only  6%  (^opost  =  0.30)  of  the  mean  total  (Z  =  4.85)  being  ascribed  to  density-dependent  processes.  By 
contrast,  23%  {Z^  =  1.13)  of  the  total  prejuvenile  mortality  was  compensatory,  of  which  nearly  all 
took  place  during  the  embryonic  and  early  larval  periods.  Egg  and  early  larval  mortality  rates  from  1979 
through  1987  were  positively  correlated  to  June  river  flows,  and  inversely  related  to  mean  June 
temperature,  whereas  mortality  rates  of  all  other  life  stages  showed  no  such  relationships.  Daily  egg 
and  early  larval  mortality  rates  from  1979  through  1987  were  usually  higher  and  more  variable  than 
mortality  rates  during  later  stages.  There  were  significant  negative  correlations  between  egg  and  early 
larval  mortality  rates  and  the  strength  of  1979-87  year  classes  in  the  adult  stock,  whereas  mortality 
rates  of  late  larvae  and  juveniles  were  independent  of  year-class  strength.  Density-dependent  mortality 
during  the  egg  and  early  larval  stages  comprised  over  40%  of  the  total  mortality  at  those  stages,  resulting 
in  the  number  of  midlarvae  and  juveniles  being  positively  correlated  to  adult  recruitment.  These  data 
suggest  that  year-class  strength  of  American  shad  in  the  Connecticut  River  is  established  after  the  egg 
and  larval  stages. 


It  is  generally  accepted  that  year-class  strength  of 
most  fishes  is  established  prior  to  the  juvenile  stage 
from  density-independent  (climatic  factors)  and 
density-dependent  (competition,  predation,  cannibal- 
ism) processes  (Gushing  1974;  May  1974;  Goodyear 
1980).  Although  density-dependent  mortality  is 
believed  to  be  the  mechanism  that  keeps  fish  popu- 
lations stable  under  low  to  moderate  exploitation 
(McFadden  1977;  Gushing  1980),  density-dependent 
processes  such  as  inter-  and  intraspecific  competi- 
tion, predation,  and  cannibalism  are  difficult  to 
measure.  This  is  particularly  so  for  many  highly 
fecund  fishes,  whose  population  sizes  undergo  wide 
fluctuations  that  often  cannot  be  predicted  by  con- 
ventional stock-recruitment  models  (Parrish  and 
MacGall  1978;  Bakun  1984).  Despite  the  acknowl- 
edged importance  of  density-dependent  mortality  to 
stock-recruitment  theory  (Ricker  1975;  Ware  1980), 
few  studies  have  been  able  to  quantify  density- 
dependent  mortality,  or  determine  the  life  stages 
at  which  compensation  occurs. 

Density-dependent  mortality  may  be  confined  to 
the  prejuvenile  stage  (Gushing  1974,  1980)  or  the 


'Connecticut  Department  of  Environmental  Protection,  Marine 
Fisheries  Office,  Waterford,  CT  06385. 


postjuvenile  oceanic  stage  (Peterman  1978,  1982), 
or  may  occur  throughout  the  prerecruitment  period 
(Gulland  1965).  The  testing  of  these  hypotheses  has 
proceeded  slowly  because  of  environmental  noise 
surrounding  many  stock-recruitment  relationships, 
measurement  errors  associated  with  recruitment 
estimates  (Ludwig  and  Walters  1981),  and  the  lack 
of  long-term  mortality  data  on  eggs  and  larvae. 

One  species,  for  which  accurate  and  long-term 
stock-recruitment  and  prerecruitment  mortality 
data  exist,  is  the  American  shad,  Alosa  sapidissima, 
an  anadromous  clupeid  that  spawns  in  many  Atlan- 
tic coast  rivers  (Walburg  and  Nichols  1967).  Pre- 
vious studies  on  American  shad  in  the  Gonnecticut 
River  have  demonstrated  that  larval  and  juvenile 
mortality  rates  decline  with  age  (Grecco  et  al.  1983, 
1986)  and  that  growth  and  survival  rates  among 
discrete  larval  cohorts  are  significantly  affected  by 
short-term  hydrographic  and  meteorological  events 
(Grecco  and  Savoy  1985b,  1987a).  Although  pre- 
vious stock-recruitment  studies  of  Gonnecticut  River 
shad  (Leggett  1977;  Lorda  and  Grecco  1987)  found 
evidence  of  density-dependent  mortality  before  the 
juvenile  stage,  no  studies  have  attempted  to  esti- 
mate density-dependent  mortality  during  the  egg 
and  larval  stages,  or  quantify  density-dependent  and 


Manuscript  accepted  March  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


467 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


density-independent  mortality  after  the  juvenile 
stage. 

In  this  study  we  used  stock-recruitment,  pre-  and 
postrecruitment  mortality  data  for  American  shad 
in  the  Connecticut  River  from  1967  through  1987 
to  1)  estimate  egg  mortality  rates  for  the  1979-87 
year  classes;  2)  measure  the  contribution  of  density- 
dependent  and  density-independent  mortality  before 
and  after  the  juvenile  stage;  and  3)  determine  the 
life  stage(s)  at  which  most  of  the  density-dependent 
mortality  takes  place. 

METHODS 

Data  Source 

Estimates  of  adult  recruitment  and  parent  stock 
size  (±  SE)  from  1967  to  1982  (Table  1)  were  based 
on  annual  population  estimates  derived  by  earlier 
mark-recapture  studies  (Leggett  1976;  Crecco  and 
Savoy  1987^)  and  by  the  annual  mean  number  of 
American  shad  lifted  over  the  Holyoke  Dam  (Crecco 
and  Savoy  1985a).  The  parent  stock  size  (PAR J 
from  1967  through  1987  was  the  annual  population 
estimate  of  female  shad  minus  that  year's  commer- 


cial catch  of  female  shad.  Parent  stock  (PAR^)  was 
separated  into  the  parent  stock  that  spawned  above 
the  Holyoke  Dam  (PJ  (Moffitt  et  al.  1982;  O'Leary 
and  Booke  1986^,  1987^)  and  the  spawning  stock 
that  spawned  below  the  dam  (P,,  =  PAR,  -  P„). 
Since  female  American  shad  mature  between  ages 
four  and  six,  female  shad  recruitment  from  the 
1967-82  year  classes  was  the  sum  of  virgin  4-,  5-, 
and  6-yr-old  female  shad  in  the  1970-87  runs  based 
on  the  age-class  structure  from  previous  studies 
(Jones  et  al.  1976;  Leggett  1976;  Crecco  et  al. 
1984^).  Since  the  sex  ratio  of  mature  progeny  from 
each  year  class  is  close  to  1:1  (Leggett  1976),  total 
recruitment  (Rf)  from  the  1967-82  year  classes  was 
estimated  by  doubling  the  female  shad  recruitment 
estimates.  Direct  estimates  of  male  shad  recruit- 
ment are  biased  by  gill  net  selectivity  and  differen- 
tial culling  practices  of  commercial  fishermen 
(Crecco  et  al.  1984^). 


^Crecco,  V.  A.,  and  T.  F.  Savoy.  1987b.  Fishery  Management 
Plan  for  American  shad  in  the  Connecticut  River.  Unpubl. 
manuscr.,  117  p.  Connecticut  Department  of  Environmental  Pro- 
tection, Hartford,  CT  06106. 


'O'Leary,  J.,  and  H.  E.  Booke.  1986.  Connecticut  River  anad- 
romous  fish  investigations.  Mass.  Coop.  Fish.  Res.  Unit  Proj.  Per- 
formance Rep.,  F-45-R-2,  37  p. 

"O'Leary,  J.,  and  H.  E.  Booke.  1987.  Connecticut  River  anad- 
romous  fish  investigations.  Mass.  Coop.  Fish.  Res.  Unit  Proj.  Per- 
formance Rep.,  32  p. 

^Crecco,  V.  A.,  T.  Savoy,  and  L.  Gunn.  1984.  Population 
dynamics  studies  of  American  shad  in  the  Connecticut  River.  CT 
Dep.  Environ.  Prot.  Final  Rep.  AFC  13,  76  p. 

•^Crecco,  V.  A.,  L.  Gunn,  and  T.  Savoy.  1981.  Connecticut 
River  shad  study,  a  progress  report.  Unpubl.  manuscr.,  87  p. 
Connecticut  Department  of  Environmental  Protection,  Hartford, 
CT  06106. 


Table  1.— Estimates  of  total  female  American  shad  parent  stock,  female  spawn- 
ing stock  above  and  below  the  Holyoke  Dam,  mean  June  flows  from  1967  to  1987, 
and  total  number  of  adult  recruits  from  the  1967-82  year  classes.  SE  =  stand- 
ard errors  about  the  estimates  x  10^. 


Total 

Spawning 

Spawning 

spawning 

stock 

stock 

Recruit- 

June 

stock 

above 

below 

ment 

flow 

Year 

X  10^ 

SE 

X  10^ 

SE 

X  10^ 

SE 

X  10^ 

SE 

m^/s 

1967 

167 

35 

4 

0.8 

163 

34 

444 

112 

437 

1968 

202 

38 

5 

0.9 

197 

37 

236 

59 

603 

1969 

384 

70 

10 

1.8 

374 

68 

490 

116 

375 

1970 

413 

95 

12 

2.8 

401 

92 

550 

126 

243 

1971 

424 

111 

14 

3.7 

410 

107 

982 

205 

203 

1972 

167 

40 

8 

1.9 

159 

38 

430 

87 

616 

1973 

111 

30 

3 

0.8 

108 

29 

308 

70 

534 

1974 

306 

62 

10 

2.0 

296 

60 

652 

139 

334 

1975 

247 

65 

16 

4.2 

231 

61 

560 

101 

379 

1976 

435 

80 

166 

31.0 

269 

49 

650 

105 

286 

1977 

207 

39 

112 

21.0 

95 

18 

1,240 

191 

250 

1978 

210 

54 

45 

12.0 

165 

42 

714 

110 

488 

1979 

248 

51 

87 

18.0 

161 

33 

882 

127 

445 

1980 

341 

58 

196 

33.0 

145 

25 

1,256 

196 

201 

1981 

293 

50 

143 

24.0 

150 

26 

758 

132 

316 

1982 

501 

67 

109 

15.0 

392 

52 

282 

49 

643 

1983 

423 

77 

185 

34.0 

238 

43 

386 

1984 

610 

67 

245 

27.0 

365 

40 

661 

1985 

555 

96 

219 

38.0 

336 

58 

311 

1986 

392 

71 

175 

32.0 

217 

39 

439 

1987 

235 

37 

136 

14.0 

146 

23 

250 

468 


SAVOY  AND  CRECCO:  MORTALITY  OF  AMERICAN  SHAD 


American  shad  larvae  (10-30  mm  TL)  were  sam- 
pled during  daylight  hours  in  the  Connecticut  River 
with  a  6.1  m  plankton  bag  seine  (2.4  m  deep,  wing 
and  bag  mesh  of  0.505  mm)  and  30  m  lead  ropes 
from  15  May  to  20  July  1979-84,  1986,  and  1987. 
No  larval  sampling  was  conducted  in  1985.  One  seine 
haul  was  taken  weekly  at  8-12  fixed  stations  located 
throughout  the  major  spawning  areas  (Fig.  1).  Fur- 
ther details  on  sampling  and  methods  of  estimating 
larval  abundance  from  net  samples  are  contained 
in  Crecco  et  al.  (1983). 

Juvenile  American  shad  (40-90  mm  TL)  were  col- 
lected weekly  from  20  July  through  15  October 
1967-87  at  7-14  fixed  stations  located  above  and 
below  the  Holyoke  Dam  (Fig.  1)  based  on  weekly  and 
biweekly  seine  surveys  (Scherer  1974;  Foote  1976; 
Marcy  1976;  Crecco  and  Savoy  1984).  The  annual 


juvenile  index  of  relative  abundance  (IND()  from 
1967  to  1987  was  the  mean  juvenile  catch  per  seine 
haul  ( ±  SE)  from  all  stations  and  collection  dates 
(Table  2). 

The  Timing  of 
Density-Dependent  Mortality 

Analysis 

One  of  the  primary  objectives  of  this  study  was 
to  determine  the  magnitude  and  timing  of  density- 
dependent  mortality  for  American  shad.  Peterman 
(1978, 1982)  found  that  density-dependent  mortality 
for  some  stocks  of  the  anadromous  sockeye  salmon, 
Oiworhynchus  nerka,  was  confined  mainly  to  the  4-5 
yr  oceanic  postjuvenile  phase.  Given  that  the  Ameri- 


STATIONS 
X  -  L A  RVA  L 

0-JUVENILE 


km  1  90 


SUN  D  ERLU  N  D 


HATFIELD 


HO  LYOK  E 


km  140 


X     AG AW  AM 
ENFIELD 


Figure  1.— Location  of  larval  and  juvenile 
American  shad  sampling  stations  on  the  Con- 
necticut River. 


MASS 
CONN 


WILSON    O 


GLASTON  BURY 


km  25 
O    SALMON 

RIVER 


DEEP 
RIVER 


ESSEX 


k  m  1  2 


469 


FISHERY  BULLETIN:  VOL.  86,  NO,  3 


Table  2.— Mean  juvenile  indices,  scaled  juvenile  abundance  from 
Equation  (2)  and  total  egg  production  for  American  shad  in  the  Con- 
necticut River  from  1967  through  1987.  SE  =  standard  errors 
about  the  estimates. 


Juvenile 

Total  egg 

Juvenile 

abundance 

SE 

production 

SE 

Year 

index 
20.2 

SE 
9.4 

X  10^ 

X  10^ 

X  10« 

X  10^ 

1967 

71,070 

33,072 

334 

70 

1968 

11.1 

1.7 

39,053 

5,981 

404 

76 

1969 

19.0 

3.8 

68,848 

13,770 

768 

140 

1970 

27.8 

8.2 

97,809 

28,850 

826 

190 

1971 

65.7 

14.1 

231,151 

49,608 

848 

222 

1972 

15.3 

2.9 

53,830 

10,203 

334 

80 

1973 

12.7 

3.4 

44,682 

11,962 

222 

60 

1974 

21.4 

6.3 

75,292 

22,165 

612 

124 

1975 

23.7 

5.7 

83,384 

20,054 

494 

130 

1976 

22.4 

5.9 

78,810 

20,760 

870 

160 

1977 

--NOT  AVAILABLE-  - 

414 

78 

1978 

27.2 

5.9 

95,698 

20,758 

420 

108 

1979 

19.6 

3.2 

68,959 

11,259 

496 

102 

1980 

42.7 

11.0 

150,231 

38,701 

682 

116 

1981 

16.0 

2.7 

56,293 

9,499 

586 

100 

1982 

4.7 

1.1 

16,536 

3,870 

1,002 

134 

1983 

26.3 

6.6 

92,531 

23,221 

846 

154 

1984 

13.0 

2.1 

45.738 

7,388 

1,220 

134 

1985 

17.8 

2.7 

62,626 

9,499 

1,110 

192 

1986 

17.0 

2.8 

59,811 

9,851 

784 

142 

1987 

44.7 

15.1 

157,268 

53,126 

470 

74 

can  shad  has  a  similar  4-6  yr  postjuvenile  phase  as 
sockeye  salmon,  we  tested  Peterman's  hypothesis 
for  American  shad  with  key  factor  analysis  (Bellows 
1981;  Rosenberg  and  Doyle  1986).  We  fixed  the 
postjuvenile  period  for  American  shad  in  the  Con- 
necticut River  between  101  days  and  5  years,  corre- 
sponding to  the  average  age  (101  days)  at  which 
juvenile  shad  leave  the  river  (Crecco  and  Savoy 
1985b)  and  the  average  age  (5  years)  when  they 
return  to  the  river  as  mature  adults.  The  total  post- 
juvenile (age  101  days  to  5  years)  mortality  rates 
(ZA()  for  the  1967-82  year  classes  were  related  to 
the  scaled  juvenile  indices  (J<)  for  those  year 
classes  (Table  2)  in  a  linear  model: 


ZA,  = 


a  + 


b{Jt), 


(1) 


where  ZAf  =  -logg(i2(/J<).  If  significant  density- 
dependent  mortality  is  present  during  the  post- 
juvenile stage,  the  slope  (6)  of  Equation  (1)  would 
be  positive  and  differ  significantly  (P  <  0.05)  from 
zero. 

The  juvenile  indices  were  scaled  to  thousands  of 
fish  (Jf)  so  that  the  y-axis  intercept  in  Equation  (1) 
directly  estimates  the  mean  density-independent 
mortality  (Zj^g^i),  and  the  slope  (b)  times  the  geo- 
metric mean  juvenile  abundance  (GM)  from  1967 
through  1987  is  the  mean  density-dependent  mor- 
tality rate  (Z^post).  Total  juvenile  abundance  (J() 


was  estimated  by  multiplying  the  juvenile  indices 
(IND,)  by  a  scalar  (SC): 

SC  =  [GR  exp{-EZA)  ■  GM]  =  3,518.3,      (2) 

where  GR  is  the  geometric  mean  total  adult 
recruitment  for  1967  through  1982;  GM  is  the  geo- 
metric mean  juvenile  index  from  1967  through  1987; 
EZA  (4.85)  is  the  mean  total  instantaneous  mortality 
among  postjuveniles  from  1967  through  1982.  We 
estimated  EZA  as  the  sum  of  mortality  during  the 
late  juvenile  period  (age  101-365  days),  and  the 
subadult  stage  (age  1-5  years).  The  mean  total  in- 
stantaneous mortality  rate  during  the  late  juvenile 
stage  was  estimated  as  2.65  (0.01  •  265  days),  using 
a  mean  daily  mortality  rate  of  0.01  (SE  =  0.002) 
extrapolated  from  the  1979-84  larval  and  juvenile 
survivorship  curves  (Crecco  and  Savoy  1985b).  The 
mean  total  instantaneous  mortality  rate  of  subadult 
shad  was  2.2,  based  on  an  annual  instantaneous 
natural  mortality  rate  of  0.45  from  the  method  of 
Pauly  (1980)  plus  0.10  to  reflect  oceanic  fishing  mor- 
tality (2.2  =  4(0.45  -I-  0.10)).  We  estimated  the  an- 
nual natural  mortality  rate  (0.45)  by  substituting  the 
;^(0.25,  SE  =  0.03)  and  L  (55  cm  FL,  SE  =  3  cm) 
parameters  of  the  von  Bertalanffy  equation  for  male 
and  female  shad  combined  and  preferred  ocean  tem- 
perature (14  °C)  of  American  shad  (Leggett  and 
Whitney  1972)  into  Pauly' s  multiple  regression 
model.  The  oceanic  fishing  mortality  estimate  (0.10) 
was  based  on  tagging  studies  in  Delaware  Bay 
(White  et  al.  1969;  Zarbock  1969)  and  off  the  New 
York-New  Jersey  coast  (Nichols  1958). 

To  determine  if  density-dependent  mortality  takes 
place  during  the  egg  and  larval  stages  as  Cushing 
(1980)  hypothesized,  we  related  total  prejuvenile 
mortality  rates  {ZEJt)  to  annual  egg  production 
(EggSj ),  and  to  both  egg  production  (Table  2)  and 
mean  June  river  flow  (JFLOW)  from  1967  to  1987 
(Table  1)  in  linear  regression  models: 


ZEJt  =  a  -H  6 (Eggs,) 


(3a) 


and 


ZEJt  =  a  +  ^(Eggs,)  -H  c(JFLOW,),       (3b) 

where  ZEJt  =  -log^(J( /Eggs,).  Mean  June  river 
flows  (m^/s)  were  included  in  Equation  (3b)  because 
previous  studies  (Crecco  and  Savoy  1985b,  1987a) 
have  shown  that  high  June  flows  reduced  prejuvenile 
survival  rates,  leading  to  a  significant  inverse  cor- 
relation (r  =  -  0.74,  P  <  0.01)  between  the  juvenile 
indices  of  abundance  from  1967  through  1980  and 


470 


SAVOY  AND  CRECCO:  MORTALITY  OF  AMERICAN  SHAD 


mean  June  river  flow  (Crecco  and  Savoy  1984, 
1985b).  Mean  June  flows  (m^/s)  were  measured 
within  the  major  spawning  areas  (Leggett  1977)  by 
the  United  States  Geological  Survey  (U.S.  Geo- 
logical Survey  1967-84).  We  estimated  total  egg 
production  (Eggs,)  in  Equations  (3a)  and  (3b)  as  the 
product  of  the  mean  fecundity  of  a  female  American 
shad  times  that  year's  parent  stock  (PARf)  of 
female  shad  (Table  1).  The  average  fecundity  was 
reduced  from  269,000  ova  (Leggett  1969)  to  200,000 
to  reflect  the  average  rates  of  egg  retention  and  in- 
complete fertilization  (Watson  1970;  Reed  and  Russo 
1976^).  Since  Leggett  (1969)  showed  that  the  aver- 
age fecundity  of  American  shad  varied  by  less  than 
10%  from  1966  through  1973,  we  were  justified  in 
using  an  average  fecundity  for  all  years. 

The  mean  density-independent  mortality  rate 
(Z/pre)  present  during  the  prejuvenile  stage  was  the 
y-axis  intercept  (a)  in  Equation  (3b)  plus  the  slope 
(c)  times  the  overall  geometric  mean  June  flow 


'Reed,  R.  J.,  and  A.  Russo.  1976.  American  shad  research 
Connecticut  River,  Massachusetts,  1976. 1.  Fecundity,  egg  reten- 
tion, sex  ratio,  and  age  class  composition.  Unpubl.  manuscr.,  16 
p.  Massachusetts  Cooperative  Fisheries  Research  Unit,  Univer- 
sity of  Massachusetts,  Amherst,  MA  01003. 


(GJFLOW)  from  1967  through  1987: 
Zipre  =  a  +  c(GJFLOW), 


(4) 


The  mean  density-dependent  mortality  rate  (Zq^^^) 
was  the  slope  (6)  of  Equations  (3a)  and  (3b)  times 
the  geometric  mean  egg  production  (GEgg)  from 
1967  through  1987.  A  positive  and  statistically  sig- 
nificant slope  (6)  of  prejuvenile  mortality  on  egg 
abundance  would  support  the  Gushing  hypothesis 
that  density-dependent  mortality  takes  place  before 
the  juvenile  stage.  If  the  b  estimates  of  Equations 
(1),  (3a),  and  (3b)  were  all  positive  and  significant, 
our  results  would  support  Gulland's  (1965)  hypoth- 
esis that  density-dependent  mortality  occurs  over 
the  entire  prerecruitment  phase. 

Results 

Although  total  juvenile  abundance  varied  14-fold 
from  1967  through  1982  (Table  2),  the  total  post- 
juvenile  mortality  rates  {ZA()  exhibited  relatively 
low  variability  (95%  G.I.:  4.70-5.00)  about  the  esti- 
mated mean  {EZA  =  4.85)  (Fig.  2).  The  slope  of  the 
linear  regression  between  total  postjuvenile  mortal- 


6.6 


5.4 


5.2 


5.0 


< 

N      4.8 


4.6 


4.4 


4.2 


4.0 


50 


1 1 1 

100  160  200 

Juvenie  Abundance  (thousands) 


260 


300 


Figure  2.— Relationship  between  American  shad  postjuvenile  mortality  (ZA,)  and  relative  abundance  of  juveniles 

(J()  from  1967  through  1982. 


471 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


ity  rates  (ZAt)  and  scaled  juvenile  abundance  (J,) 
was  positive  and  statistically  significant  (P  <  0.04) 
(Table  3).  Since  the  average  density-dependent 
mortality  (Z^post  =  0.30)  present  during  the  post- 
juvenile  stage  comprised  only  6%  of  the  mean  total 
postjuvenile  mortality  rate  {ZA  =  4.85),  density- 
dependent  mortality  is  not  large  enough  to  alter  the 
significant  linear  correlation  (r  =  0.78,  P  <  0.01) 


betv^^een  the  juvenile  indices  (J^ )  and  adult  recruit- 
ment (Rf)  for  the  1967  through  1982  year  classes 
(Fig.  3). 

The  prejuvenile  mortality  rates  (ZEJ,)  from  1967 
through  1987  v^ere  positively  correlated  (r  =  0.70, 
P  <  0.0004)  to  total  egg  production  (EggS()  (Fig.  4). 
Egg  production  alone  explained  49%  of  the  varia- 
tion in  prejuvenile  mortality  (Table  3)  and  the  slope 


Table  3.— Estimates  of  density-dependent  (Zp),  density-independent  mortality  (Z,)  and  the  fraction  of  density- 
dependence  (ZqIZi^Zq)  during  the  postjuvenile  (1967-82)  and  prejuvenile  (1967-87)  mortality  phases  for 
American  shad  in  the  Connecticut  River.  SE  =  standard  error,  and  numbers  in  parentheses  =  95%  C.I.  for 
Zq,ZEJ,  =  prejuvenile  mortality,  Z4,  =  postjuvenile  mortality. 


Model 


Parameters 


SE 


Z,  Zol{Z,,Z^) 


Prejuvenile 
ZEJ,  =  a  +  b(Eggs,) 


ZEJt  =  a  +  b(Eggs,) 
+  c  (J  Flow,) 


Postjuvenile 
ZA,    =  a  +  b(J,) 


a  =  5.466 

b  =  1.88  X  10"^ 

r^  =  0.49 

a  =  4.287 

b  =  1.97  X  10"^ 

c  =  0.0028 

r^  =  0.80 


a    =  4.53 

b    =  3.49  X   10" 

r^  =  0.275 


0.313 

4.43  X  10"^ 


0.303 

2.87  X   10"^ 

0.0005 


0.15 

1.51    X   10"^ 


1.13  5.47  0.17 

(0.862-1.392)  (0.136-0.203) 

1.18  5.34  0.18 

(1.007-1.351)  (0.158-0.202) 


0.30  4.53  0.062 

(0.035-0.560)  (0.008-0.110) 


1300 


«  1025 

c 
<0 
(0 

3 

o 


I   750 


u 

3 

<   475 


200 


— n 
10 


—J- 
20 


— I— 
30 


— r- 
40 


— I— 
50 


— I— 
60 


70 


Juvenle  Index 


Figure  3.— Relationship  between  total  adult  recruitment  (R,)  and  the  juvenile  abundance  indices  (/ATZ), )  of  American 

shad  from  1967  through  1982. 


472 


SAVOY  AND  CRECCO:  MORTALITY  OF  AMERICAN  SHAD 


of  the  regression  differed  significantly  from  zero, 
indicating  the  presence  of  significant  density- 
dependent  mortaHty  during  the  prejuvenile  stage. 
When  prejuvenile  mortality  rates  were  related  to 
both  egg  production  (Eggs,)  and  mean  June  river 
flow,  (JFLOW,),  the  multiple  regression  model  ac- 
counted for  80%  of  the  variability  in  prejuvenile 
mortality  (Table  3),  and  the  slope  estimates  for  egg 
production  (6)  and  June  flow  (c)  were  positive  and 
highly  significant.  Note  that  the  standard  error  (SE) 
about  the  slope  estimate  (6)  was  reduced  by  60% 
when  June  flow  effects  were  considered.  These 
results  suggest  that  prejuvenile  mortality  rates  are 
affected  by  a  combination  of  density-dependent  (egg 
production)  and  density-independent  (June  river 
flow)  factors. 

The  mean  density-dependent  mortality  rate  dur- 
ing the  prejuvenile  phase  (Z^pj.^  =  1.18)  from  the 
multiple  regression  model  was  four  times  greater 
than  the  mean  Z^post  value  (0.30)  for  postjuveniles 
(Table  3),  suggesting  that  80%  (1.18/1.18  +  0.30) 
of  the  total  compensatory  reserve  for  American  shad 
occurs  before  the  juvenile  stage.  Whereas  compen- 
satory density-dependent  mortality  may  play  a  sig- 
nificant role  in  regulating  egg  and  larval  abundance 
during  years  of  high  egg  production,  it  is  clear  that 


most  of  the  variability  (82%)  in  egg  and  larval  abun- 
dance is  ascribed  to  density-independent  factors. 

Egg,  Larval,  and  Juvenile 
Mortality,  1979-87 

Analysis 

To  examine  how  larval  and  juvenile  mortality 
rates  varied  with  year-class  strength,  survivorship 
curves  for  19,000-180,000  American  shad  larvae 
and  800-3,500  juveniles  were  developed  annually 
from  1979  to  1987  following  the  techniques  of  Lough 
(1976)  and  Hewitt  et  al.  (1985).  Mortality  rates  could 
not  be  estimated  directly  for  prolarvae  because 
American  shad  yolk-sac  larvae  (7-9  mm  TL)  remain 
in  deep  water  (Marcy  1976)  and  were  only  partially 
susceptible  to  the  plankton  seine. 

All  larvae  and  juveniles  collected  annually  were 
separated  into  four  length  intervals:  1)  10-13  mm 
TL,  reflecting  first- feeding  larvae  with  undeveloped 
pelvic  fins  (Wiggins  et  al.  1984);  2)  14-19  mm  TL, 
associated  with  the  onset  of  pelvic  fin  development 
(Lippson  and  Moran  1974);  3)  20-28  mm  TL,  repre- 
senting larvae  approaching  metamorphosis,  char- 
acterized by  invagination  of  the  gut  (Maxfield  1953); 


9.0 


ao 


W      7.0 


6.0 


6.0  i 


T- 
20 


— r- 
30 


— r- 
40 


I 
60 


— I— 
60 


— r- 
70 


I 
80 


— I— 
90 


100 


no 


120 


130 


Total  Eggs  (bMons) 


Figure  4.— Relationship  between  American  shad  prejuvenile  mortality  (ZEJ^)  and  the  number  of  eggs  produced 

(Eggs,)  from  1967  through  1987. 


473 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


and  4)  29-80  mm  TL,  corresponding  to  the  juvenile 
stage  and  the  onset  of  scale  development  (Marcy 
1976).  These  four  groups  are  hereafter  referred  to 
as  early  larval,  midlarval,  late  larval,  and  juvenile 
stages,  respectively. 

We  used  otolith  increment  counts  (Savoy  and 
Crecco  1987)  to  age  a  subsample  of  100-400  Ameri- 
can shad  larvae  and  80-200  juveniles  annually  from 
1979  to  1987.  The  age-length  relationship  for  lar- 
vae and  juveniles  in  all  years  was  well  described  by 
the  Gompertz  growth  equation  (Crecco  et  al.  1983; 
Crecco  and  Savoy  1985b)  so  we  used  a  pooled 
Gompertz  equation  to  describe  larval  and  juvenile 
growth.  The  average  age  (t)  of  each  of  the  four 
length  groups  was  estimated  by  rearranging  the 
Gompertz  equation: 


t  =  logAKIK  -  log,(L,(Lo))]/a 


(5) 


where  L(  =  total  length  (mm);  Lq  =  length  at 
hatching  (8.0  mm);  K  =  growth  rate  at  the  inflec- 
tion point;  and  a  =  rate  of  exponential  decay. 

The  daily  instantaneous  mortality  rates  (d)  for 
each  stage  and  their  standard  errors  from  1979 
through  1987  were  estimated  by  an  exponential 
model, 


Nt  =  A  exp{-dt), 


(6) 


that  related  abundance  (A^^)  and  age  (t)  by  non- 
linear regression  methods  (SAS  1982).  The  total 
instantaneous  mortality  rates  of  early  (ZELf),  mid 
(ZMLf),  and  late  (ZLLt)  larvae  and  juveniles  (ZJf) 
were  estimated  by  multiplying  the  corresponding 
daily  mortality  rate  (d)  by  the  average  duration  (Ds 
=  days)  within  each  stage.  Previous  studies  (Crecco 
and  Savoy  1985a;  Savoy  and  Crecco  1987)  found 
that  the  growth  rates  of  early  (10-13  mm)  and  mid- 
larvae  (14-19  mm)  were  positively  correlated  with 
June  water  temperatures,  whereas  the  growth  of 
late  larvae  and  juveniles  were  independent  of  river 
temperatures.  As  a  result,  we  adjusted  the  stage 
duration  {Ds )  of  early  and  midlarvae  with  the  mean 
June  temperatures  (U.S.  Geological  Survey  1979- 
87)  from  1979  through  1987  and  the  larval  growth- 


subtracting  the  sum  of  larval  {ZEL, ,  ZMLf ,  ZLL,), 
juvenile  (ZJ^)  and  postjuvenile  (ZA^)  mortality  rates 
from  the  total  prerecruitment  mortality  rate 
(ZTotal,): 

ZEt  =  ZTotalt  -  [ZELi  +  ZML,  +  ZLLt 

+  ZJt  +  ZAt),  (7) 

where  ZTotal^  =  -logp(/2,/Eggs,).  However,  since 
the  1983  through  1987  year  classes  have  not  been 
fully  recruited  to  the  spawning  population,  we  esti- 
mated total  adult  recruitment  {Rp^ )  for  those  year 
classes  by  the  following  environment-dependent 
stock-recruitment  model: 

Rpt  =  24.29  (PARt)  exp(- 0.0052  •  P,,) 


exp(- 0.0032  •  PJ 
exp(- 0.0025  •  JFLOW() 


(8) 


Adult  recruitment  was  estimated  independently 
of  the  juvenile  indices  by  substituting  each 
year's  parent  stock  size  (PAR^),  mean  June  flow 
(e/FLOW),  female  parent  stock  lifted  over  the  Hol- 
yoke  Dam  (P„ ),  and  female  parent  stock  below  the 
Holyoke  Dam  (P^)  (Table  1)  into  the  model.  This 
nonlinear  model  was  shown  (Lorda  and  Crecco  1987) 
to  be  a  good  predictor  (r^  =  0.81,  P  <  0.001)  of 
adult  recruitment  (P^)  for  the  1966  through  1982 
year  classes.  Moreover,  the  predicted  recruitment 
levels  (P()  of  the  1983  through  1987  year  classes 
from  Equation  (8)  were  closely  correlated  (r  =  0.92, 
P  <  0.01)  with  the  corresponding  juvenile  abundance 
(J()  for  those  years  (Table  4)  which  is  consistent 
with  the  positive  correlation  (r  =  0.78,  P  <  0.01) 
between  adult  recruitment  and  the  1967-82  juvenile 
indices  (Fig.  2).  This  justifies  the  use  of  Equation 
(8)  to  predict  adult  recruitment,  total  mortality,  and 
postjuvenile  mortality  rates  for  the  1983-87  year 
classes. 

The  standard  errors  about  the  egg  mortality  rates 
(ZEt)  were  derived  as  the  sum  of  the  variances  of 
all  other  terms  (Cochran  1965): 


SEze'  =  ^SEzel'  +  SE^ml'  +  S^zll'  +  ZJ^  +  SE^/  +  SE^xotai'       0) 


temperature  equations  (Crecco  and  Savoy  1985b: 
table  7). 

We  estimated  total  egg  and  prolarval  mortality 
rates  (ZE^)  indirectly  from  1979  through  1987  by 


The  standard  errors  about  the  total  prerecruitment 
(ZTotal,)  and  postjuvenile  (ZA^)  mortality  rates 
(Table  5)  were  based  on  the  same  principle  as  Equa- 
tion (9)  (App.  1). 


474 


SAVOY  AND  CRECCO:  MORTALITY  OF  AMERICAN  SHAD 


Table  4— Predicted  total  adult  recruitment  of 
American  shad  from  the  environmental  dependent 
stock-recruitment  model  (Equation  (8)),  95%  con- 
fidence limits  about  the  recruitment  values  and 
juvenile  abundance  for  the  1983-87  year  classes. 


Predicted 

adult 

Juvenile 

recruitment 

abundance 

Year 

X  10^ 

95%  C.I. 

X  10^ 

1983 

634 

362-906 

92,531 

1984 

196 

112-280 

45.738 

1985 

555 

317-793 

62,626 

1986 

587 

335-839 

59,811 

1987 

955 

547-1,363 

157,268 

Table  5.— Estimates  of  the  total  (ZTotal,)  and 
postjuvenile  (Z4,)  instantaneous  mortality  rates 
and  their  standard  errors  (SE)  for  American 
shad  from  1979  through  1987. 


Year 

ZTotal, 

SE 

ZA, 

SE 

1979 

10.94 

0.26 

4.36 

0.23 

1980 

10.90 

0.24 

4.78 

0.32 

1981 

11.26 

0.25 

4.31 

0.25 

1982 

13.00 

0.27 

4.77 

0.34 

1983 

11.80 

0.30 

4.98 

0.36 

1984 

13.34 

0.26 

5.45 

0.28 

1985 

12.21 

0.29 

4.72 

0.28 

1986 

11.80 

0.30 

4.62 

0.29 

1987 

10.80 

0.28 

5.10 

0.47 

Given  that  ZE  represents  total  mortality  through- 
out the  egg  and  prolarval  period,  daily  egg  mortal- 
ity rates  were  determined  by  dividing  ZE  by  the 
average  duration  (Ds)  of  the  egg  and  prolarval 
stages  of  American  shad  in  the  Connecticut  River. 
Watson  (1968)  reported  an  inverse  relationship  be- 
tv^^een  the  incubation  period  (D )  of  shad  eggs  and 
water  temperature  (T)  by  the  expression: 


D  =  120.95  exp(-0.154  •  T). 


(10) 


To  determine  the  duration  {Ds)  of  the  egg  stage 
from  1979  through  1987  we  substituted  the  mean 
June  temperatures  for  the  Connecticut  River 
(U.S.G.S.  Annual  Water  Year  Reports  1979-87)  into 
Equation  (10). 

The  total  number  of  prolarvae  (age  2  days)  and 
early  larvae  (age  10  days)  for  the  1979  through  1987 
year  classes  was  estimated  by 


NE^  =  Eggs,  •  exp(-Z£;,)  (11) 


and 


NFt  =  Eggs,  •  exipi-ZEt  -  ZELi)  (12) 


respectively,  where  NEt  is  the  estimated  number 
of  prolarvae  larvae  and  NFt  is  the  number  of  early 
larvae.  The  abundance  of  older  larvae  and  juveniles 
from  each  year  class  was  estimated  by  adding  their 
respective  total  mortality  rates  to  Equation  (12).  To 
determine  the  life  stage(s)  at  which  year-class 
strength  is  established,  we  related  the  stage-specific 
total  mortality  rates  and  abundance  estimates  to  the 
number  of  adult  recruits  (i?,  or  Rpt)  from  the 
1979-87  year  classes  in  several  linear  models.  If 
year-class  strength  is  established  early,  there  should 
be  a  significant  positive  correlation  between  the 
number  of  prolarvae  (NE)  and  early  larvae  (NF)  and 
adult  recruitment,  and  total  mortality  rates  during 
these  early  stages  {ZE  and  ZEL )  should  be  inverse- 
ly related  to  adult  recruitment. 

To  determine  the  extent  of  density-independent 
mortality  at  the  egg,  larval,  and  juvenile  stages,  we 
correlated  the  stage-specific  total  mortality  rates 
from  1979  through  1987  to  mean  May  and  June  river 
flows  (m^/s)  and  water  temperatures  (°C)  in  sev- 
eral linear  models.  May  and  June  hydrographic 
and  meteorological  parameters  were  used  because 
they  coincide  with  egg,  larval,  and  juvenile  develop- 
ment in  the  Connecticut  River  (Leggett  1977)  and 
were  the  only  monthly  abiotic  variables  that  were 
significantly  linked  to  adult  shad  recruitment  from 
1966  to  1980  (Crecco  and  Savoy  1984,  1987c).  May 
and  June  water  flows  and  temperatures  were  re- 
corded by  the  U.S.  Geological  survey  (U.S.  Geo- 
logical Survey  1966-1980)  within  the  major  spawn- 
ing areas  (river  km  89)  of  American  shad  (Leggett 
1977). 

Results 

The  mean  daily  mortality  rates  from  1979  through 
1987  declined  by  an  order  of  magnitude  from  the 
egg  through  the  juvenile  stages  (Table  6).  Total  egg 
mortality  rates  were  relatively  high  (mean  ZE  = 
2.584,  cv  =  18.5%)  and  were  inversely  correlated 
(r  =  -  0.76,  P  <  0.03)  with  adult  recruitment  (Rt  or 
Rpt)  from  those  year  classes  (Table  7).  These  data 
indicate  that  shad  eggs  and  prolarvae  (age  1-2  days) 
from  1979  through  1987  experienced  high  (85-96%) 
mortality  that  was  directly  linked  to  year-class 
success. 

The  total  mortality  rates  (ZEL)  among  early  lar- 
vae were  slightly  lower  and  more  variable  (mean 
ZEL  =  1.608,  cv  =  31.5%)  than  the  egg  mortality 
rates  (Table  6),  and  were  also  inversely  related  (r 
=  -  0.83,  P  <  0.01)  to  adult  recruitment  from  1979 
through  1987.  By  contrast,  the  total  mortality  rates 
of  older  larvae  {ZML  and  ZLL)  and  juveniles  (ZJ) 


475 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  6.— Stage-specific  total  instantaneous  mortality  rates  of  egg,  larval,  and  juvenile 
American  sfiad  from  1979  to  1987.  SE  =  stage-specific  standard  errors;  cv  =  coeffi- 
cient of  variation,  Days  =  duration  of  each  stage. 


Instantaneous  total  mortality 

Egg  +  pro- 

Early 

Mid- 

Late 

larvae 

larvae 

larvae 

larvae 

Juvenile 

Year 
or 

(day  2) 

(day 

3-9) 

(day  10-18) 

(day  19-29) 

(day  30 

1-100) 

statistic 

mean 

SE 

mean 

SE 

mean 

SE 

mean 

SE 

mean 

SE 

1979 

2.481 

0.554 

1.323 

0.245 

1.116 

0.189 

0.330 

0.110 

1.330 

0.280 

1980 

1.853 

0.819 

1.218 

0.186 

1.096 

0.336 

0.693 

0.099 

1.260 

0.280 

1981 

2.580 

0.684 

1.836 

0.108 

0.408 

0.328 

0.726 

0.154 

1.400 

0.210 

1982 

2.940 

0.501 

2.144 

0.152 

1.160 

0.210 

0.726 

0.187 

1.260 

0.210 

1983 

3.012 

0.785 

1.400 

0.546 

0.522 

0.234 

0.836 

0.143 

1.050 

0.140 

1984 

2.706 

0.601 

2.520 

0.352 

0.640 

0.330 

0.484 

0.242 

1.540 

0.280 

1985 
1986 

N  0 
0.196 

DATA 
1.206 

1.330 
1.120 

0  pao 

3.158 

0.652 

1.323 

0.261 

0.374 

0.066 

0.280 

1987 

1.944 

0.852 

1.098 

0.180 

0.864 

0.128 

0.464 

0.088 

1.330 

0.210 

2 

2.584 

1.608 

0.877 

0.579 

1.286 

SE 

0.169 

0.179 

0.111 

0.066 

0.051 

cv 

0.185 

0.315 

0.359 

0.325 

0.120 

Days 

7.2 

6.9 

8.9 

11.0 

70.0 

Daily  Z 

0.359 

0.233 

0.099 

0.053 

0.018 

Table  7.— Correlations  between  stage-specific  total  mortalities  and 
adult  recruitment  and  several  abiotic  factors  from  1979  to  1987  for 
American  shad.    P  =  probability  levels. 


Stage 

Adult 
recruit- 
ment 

May 
flow 

May 
tempera- 
ture 

June 
flow 

June 
tempera- 
ture 

Egg 
p 

-0.76 
0.03 

0.38 
0.35 

-0.08 
0.85 

0.66 
0.08 

-0.59 
0.13 

Early 
P 

-0.83 
0.01 

0.42 
0.29 

-0.21 
0.62 

0.81 
0.01 

-0.64 
0.09 

Mid 
P 

0.16 
0.71 

-0.41 
0.32 

0.49 
0.22 

0.09 
0.83 

-0.34 
0.42 

Late 
P 

-0.02 
0.96 

0.20 
0.64 

-0.51 
0.20 

-0.13 
0.75 

0.18 
0.68 

Juv 

P 

-0.19 
0.65 

0.05 
0.91 

0.02 
0.97 

0.26 
0.53 

-0.08 
0.86 

were  highly  variable,  but  showed  no  relationship  to 
adult  recruitment. 

Given  that  high  (94-99%)  egg  and  early  larval 
mortality  rates  were  inversely  related  to  year-class 
strength,  the  abundance  of  first-feeding  larvae  (age 
10  days)  was  closely  correlated  (r  =  0.84,  P  <  0.01) 
with  adult  recruitment  (Rpt)  from  1979  through 
1987  (Table  8).  Because  year-class  strength  from 
1967  through  1987  was  independent  (r  =  -  0.15,  P 
<  0.46)  of  egg  production  (EggS(),  our  results  sug- 
gest that  year-class  strength  of  American  shad  is 
determined  by  the  number  of  shad  that  survive  the 
embryonic  and  early  larval  stages. 

Early  larval  mortality  rates  from  1979  to  1987 
were  positively  correlated  with  mean  June  river 


flows.  No  such  relationships  were  evident  for  any 
other  stage-specific  mortalities  (Table  7).  The  high 
egg  and  early  larval  mortality  rates  (Table  6)  and 
relative  failure  of  the  1982  and  1984  year  classes 
coincided  vdth  major  storm  events  in  mid- June  1982 
and  late  May  1984  (Crecco  and  Savoy  1984)  which 
increased  river  flows  and  kept  water  temperatures 
below  17°C  until  late  June.  The  high  river  flows  in 
1982  and  1984  were  also  coupled  with  the  highest 
parent  stocks  on  record  since  1967  (Table  1).  By  con- 
trast, the  relatively  low  egg  and  early  larval  mor- 
tality rates  for  the  dominant  1980  and  1987  year 
classes  were  associated  with  low  June  river  flows, 
a  steady  rise  in  June  water  temperatures  (Crecco 
and  Savoy  1984)  and  low  to  moderate  size  parent 
stocks  (Table  1).  These  results  suggest  that  domi- 
nant year  classes  of  American  shad  are  most  likely 
to  occur  when  lower  than  normal  June  flows  are 
coupled  with  relatively  small  spawning  stocks. 

Prejuvenile  Density-Dependent 
Mortality:  A  Closer  Look 

Analysis 

Having  estimated  that  82%  of  the  density- 
dependent  mortality  for  American  shad  takes  place 
before  the  juvenile  stage  (Table  3),  we  attempted 
to  estimate  the  relative  contribution  of  density- 
dependent  mortality  during  the  egg,  early,  mid-,  and 
late  larval  and  juvenile  stages  from  1979  through 
1987.  We  related  egg  mortality  rates  (ZEi)  from 


476 


SAVOY  AND  CRECCO:  MORTALITY  OF  AMERICAN  SHAD 


Table  8.— Relationship  between  the  number  (x  10®)  of  American  shad  at  each  life  history 
stage  and  adult  recruitment  from  each  year  class,  r  =  correlation  coefficient  and  P  = 
probability  levels  from  1979  to  1987. 


Stage 

Year- 

Pro- 

Early 

Mid- 

Late 

class 

Egg 

larvae 

larvae 

larvae 

larvae 

Juvenile 

Adult^ 

1979 

496 

41.5 

11.0 

3.6 

2.6 

0.7 

882 

1980 

682 

106.9 

31.6 

10.6 

5.3 

1.5 

1,256 

1981 

586 

44.4 

7.1 

4.7 

2.3 

0.6 

758 

1982 

1,002 

53.0 

6.2 

1.9 

0.9 

0.3 

282 

1983 

846 

41.6 

10.3 

6.1 

2.6 

0.9 

634 

1984 

1,220 

81.5 

6.6 

3.5 

2.1 

0.5 

198 

1985 
1986 

1,110 
784 

NO     DATA-     

555 
587 

33.3 

8.9 

2.7 

1.8 

0.6 

1987 

470 

67.3 

22.4 

9.5 

5.9 

1.6 

955 

r  = 

-0.15^ 

0.33 

0.84 

0.80 

0.79 

0.82 

P  = 

0.46 

0.43 

0.01 

0.02 

0.02 

0.01 

'Predicted  or  observed  recruitment  in  thousands. 

^Correlation  coefficient  for  egg  abundance  and  recruitment  was  based  on  the  1967-87  data  (Tables 
1.2). 


1979  to  1987  to  total  egg  production  (Eggs^)  in  a 
linear  model: 


ZEt  =  a  +  6(Eggs,). 


(13) 


As  before,  significant  density-dependence  would  be 
shown  if  the  slope  (6)  in  Equation  (13)  was  positive 
and  differed  significantly  from  zero. 

The  cumulative  amount  of  density-dependent  mor- 
tality during  the  egg  and  early  larval  stages  com- 
bined was  estimated  by  summing  the  instantaneous 
total  mortality  rates  of  early  larvae  (ZELf)  and 
eggs  (ZEt)  and  then  regressing  the  total  {ZEf  + 
ZELf)  against  egg  production  as  in  Equation  (13). 
This  procedure  was  repeated  for  each  subsequent 
stage  by  adding  their  respective  instantaneous  total 
mortality  rates.  We  then  estimated  the  relative 
magnitude  of  density-dependent  mortality  (Z^)  at 
each  stage  by  multiplying  the  slope  (6)  of  each 
regression  equation  by  the  geometric  mean  egg  pro- 


duction (GEgg)  from  1967  through  1987.  The 
density-independent  mortality  rate  {Zj)  at  each 
stage  was  expressed  by  the  y-a.xis  intercept  (a)  of 
each  regression  equation.  The  percentage  contribu- 
tion of  density-dependent  mortality  {%Zf))  for  each 
period  was  the  ratio  of  Z^  to  total  mortality  {Z^  + 
Zj)  times  100. 

Results 

Our  results  showed  that  significant  density- 
dependent  mortality  first  occurs  during  the  early 
larval  stage  and  persists  for  all  stages  thereafter 
(Table  9).  The  percentage  contribution  of  density- 
dependent  mortality  i%Z^)  rose  from  24%  of  the 
total  during  the  egg  stage  to  41%  during  the  early 
larval  stage,  and  then  declined  during  the  mid-  and 
late  larval  stages  as  the  magnitude  of  density- 
independent  mortality  increased.  The  mean  density- 
dependent  mortality  rate  for  the  egg  and  early  larval 


Table  9.— Relationship  between  the  cumulative  mortality  rates  and  parent  stock  sizes  (Eggs,). 
The  cumulative  mortality  rate  was  egg  mortality  (ZE)  plus  early  larval  mortality  (Z2),  midlarval 
mortality  (Z3),  late  larval  mortality  (Z4),  and  juvenile  mortality  (Z5).    Zg  =  density-dependent 


mortality  rate,  Z,  =  density-independent  mortality  rate 


o/oZo  = 


percentage  density-dependent 


mortality,  %Z,  =  percentage  density-independent  mortality,  t  =  student  /-statistic. 


Model 

b 
parameter 

SE(b) 

t 

Zo 

Zi 

o/oZo 

o/oZ, 

ZE 

=  a 

+  b(Eggs,) 

9.89 

X 

10-3 

6.40  X 

10" 

-9 

1.55 

0.59 

1.83 

24 

76 

Z2 

=  a 

+  fa  (Eggs,) 

2.57 

X 

io-» 

7.76  X 

10" 

-a 

^3.31 

1.54 

2.24 

41 

59 

Z3 

=  a 

+  b(Eggs,) 

2.44 

X 

io-« 

8.16  X 

10" 

-y 

'2.99 

1.46 

3.21 

31 

69 

Z4 

=  a 

+  6(Eggs,) 

2.60 

X 

io-« 

7.74  X 

10" 

-y 

'3.36 

1.55 

3.67 

30 

70 

Z5 

=  a 

+  b(Eggs,) 

2.69 

X 

10"® 

7.50  X 

10" 

-y 

'3.59 

1.61 

4.88 

25 

75 

'Significant  student  f-statistic  at  the  P  <  0.01  level  and  SE(b)  =  standard  error  of  b. 


477 


stages  combined  (Zq  =  1.54)  between  1979  and 
1987  was  not  significantly  different  (Table  9)  from 
the  total  density-dependent  mortality  rate  (Zq^j.^  = 
1.18)  estimated  during  the  prejuvenile  period  from 
1967  to  1982  (Table  3),  suggesting  that  nearly  all 
of  the  density-dependent  mortality  for  prejuvenile 
American  shad  occurs  before  the  midlarval  stage. 

DISCUSSION 

Although  American  shad  eggs  and  early  larvae 
experience  high  mortality  (15-40%/day)  in  the  Con- 
necticut River,  the  average  density-dependent  mor- 
tality rate  (Z^p^g  =  1.18)  during  those  stages  com- 
prised a  relatively  small  percentage  (18%)  of  the 
total  prerecruitment  mortality.  This  suggests  that 
most  of  the  annual  variability  in  American  shad 
recruitment  is  explained  by  density-independent  fac- 
tors, which  is  consistent  with  the  significant  positive 
correlation  between  mean  June  flow  and  egg  and 
early  larval  mortality  rates,  and  with  the  significant 
inverse  correlation  (r  =  -  0.74,  P  <  0.001)  between 
mean  June  river  flow  and  adult  recruitment  from 
the  1967  through  1982  year  classes  (Crecco  and 
Savoy  1984,  1987b).  Whereas  these  data  illustrate 
that  density-dependent  mortality  plays  a  minor  role 
in  governing  annual  variability  in  American  shad 
recruitment,  this  does  not  mean  that  compensatory 
processes  are  trivial.  As  pointed  out  by  Ricker  (1954) 
and  others  (Gushing  1974;  Garrod  and  Horwood 
1984),  only  a  small  amount  of  density-dependent 
mortality  is  required  to  stabilize  the  growth  poten- 
tial of  fish  populations  because  density-dependent 
effects  become  progressively  more  effective  at 
higher  egg  and  larval  densities  (Shepherd  and 
Gushing  1980;  Murray  1982). 

Although  our  results  on  American  shad  support 
the  Gulland  (1965)  hypothesis  that  density-depend- 
ent mortality  persists  throughout  the  prerecruit- 
ment period,  most  (82%)  of  the  density-dependent 
mortality  occurs  during  the  egg  and  early  larval 
stages.  Our  average  estimate  of  density-dependent 
mortality  {Zq  =  1.54)  during  the  early  larval 
periods  does  not  differ  significantly  from  the  mean 
Zd  value  (1.34)  estimated  among  the  5-d  larval 
cohorts  in  1983  and  1984  (Grecco  and  Savoy  1987a), 
or  from  the  mean  density-dependent  mortality  rate 
Zj)  (1.21)  estimated  by  stock-recruitment  methods 
for  the  entire  prerecruitment  period  (Lorda  and 
Grecco  1987).  That  year-class  strength  is  established 
early  in  the  ontogeny  of  American  shad  is  supported 
further  by  the  significant  positive  correlation  (r  = 
0.84,  P  <  0.009)  between  the  relative  abundance  of 
early  larvae  and  all  subsequent  stages  from  1979 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 

through  1987  and  adult  recruitment  from  those  year 
classes  (Table  8). 

The  main  causes  of  density-dependent  mortality 
are  thought  to  be  predation,  competition,  and  canni- 
balism (Ricker  1954).  Since  adult  American  shad  are 
not  thought  to  feed  in  freshwater  (Walburg  and 
Nichols  1967),  we  can  probably  eliminate  cannibal- 
ism as  a  mechanism  for  significant  density-depend- 
ent mortality  during  the  egg  and  early  larval  stages. 
Therefore,  density-dependent  mortality  among  early 
American  shad  larvae  is  most  likely  caused  by  intra- 
specific  competition  for  food  or  space  and  predation. 
The  exact  underlying  density-dependent  mortality 
mechanisms  are  difficult  to  quantify  because  the  out- 
come of  competition  and  predation  may  depend  on 
June  flow  effects  shown  here  (Table  3)  and  else- 
where (Grecco  and  Savoy  1987a,  b)  to  be  the  prin- 
cipal density-independent  factor.  High  June  river 
flows  have  been  shown  to  reduce  June  river  tem- 
peratures (Grecco  and  Savoy  1984)  and  the  growth 
rates  of  shad  eggs  (Watson  1968)  and  early  larvae 
(Grecco  and  Savoy  1985b).  Because  slower  growing 
larvae  may  be  susceptible  to  predation  for  a  longer 
period  of  time  (Hunter  1976),  periods  of  high  flow 
may  indirectly  enhance  egg  and  larval  predation. 
Additionally,  since  high  flows  reduce  the  spatial 
patchiness  (Grecco  and  Savoy  1987a),  abundance 
and  availability  of  river  zooplankton  (Whitton  1980; 
Threlkeld  1986),  high  flows  may  result  in  increased 
levels  of  competition  among  American  shad  larvae 
for  available  prey,  especially  if  shad  larvae  are 
capable  of  depleting  local  aggregations  of  edible 
zooplankton.  Periods  of  high  runoff  that  coincide 
with  peak  larval  production,  such  as  in  June  1982 
and  1984,  may  advect  larvae  and  their  zooplankton 
prey  from  eddies  and  backwaters  where  they  are 
normally  found  (Gave  1978)  to  areas  of  high  pred- 
ator abundance.  In  light  of  the  many  ways  in  which 
June  flows  potentially  mediate  larval  mortality,  it 
is  unlikely  that  a  single  compensatory  mechanism 
is  responsible  for  the  relatively  high  density-depend- 
ent mortality  rate  (Z^pre)  among  early  larvae. 

Since  egg  and  prolarval  shad  have  endogenous 
food  reserves,  density-dependent  mortality  of  these 
stages  is  likely  due  to  predation  and  competition  for 
sites  among  spawning  adults.  As  spawning  stocks 
reach  high  densities,  such  as  in  1982-84,  crowding 
of  adult  fish  on  the  spawning  grounds  may  result 
in  a  reduction  in  the  number  of  eggs  released  ((jood- 
year  1980).  In  addition,  since  the  amount  of  spawn- 
ing habitat  in  the  Connecticut  River  can  be  con- 
sidered fixed  from  year  to  year,  larger  spawning 
stocks  are  more  apt  to  deposit  an  increasing  per- 
centage of  eggs  in  unfavorable  areas.  Layzer  (1974) 


478 


SAVOY  AND  CRECCO:  MORTALITY  OF  AMERICAN  SHAD 


noted  that  the  highest  survival  rates  of  American 
shad  eggs  occurred  over  gravel  and  rubble  sub- 
strates. Since  these  areas  generally  have  higher 
water  velocities,  eggs  lodged  within  the  interstices 
of  the  gravel  and  rubble  are  less  likely  to  be  eaten 
by  predators  or  covered  by  silt.  Dense  aggregations 
of  eggs  may  also  be  highly  susceptible  to  fungal 
agents  (Leach  1925),  which  could  then  act  as  effi- 
cient density-dependent  predators.  However,  since 
predators  of  American  shad  eggs  and  larvae  in  the 
Connecticut  River  have  not  yet  been  identified, 
density-dependent  losses  are  difficult  to  quantify. 
Also,  predation  mortalities  in  general  may  be  either 
density-dependent  or  density-independent,  depend- 
ing on  the  functional  response  between  the  predator 
and  the  prey  (Hassell  1978),  and  whether  predators 
actively  search  for  discrete  aggregations  of  eggs  and 
larvae  or  prey  on  randomly  encountered  eggs  and 
larvae  (Gulland  1987). 

In  the  absence  of  direct  egg  mortality  estimates 
of  American  shad,  the  accuracy  of  our  egg  mortal- 
ity estimates  {ZEt)  from  Equation  (7)  are  difficult 
to  evaluate,  particularly  since  the  standard  errors 
about  the  estimates  are  highly  variable  (Table  6).  To 
provide  an  independent  estimate  of  daily  egg  mor- 
tality, we  used  the  multiple  regression  method  of 
McGurk  (1987)  to  estimate  the  average  daily  egg 
mortality  rate.  This  method  requires  an  estimate  of 
the  patchiness  and  the  mean  dry  weight  of  a  shad 
egg.  We  derived  Lloyd's  patchiness  index  (x  = 
7.26,  SE  =  0.376)  for  American  shad  eggs  in  the 
Connecticut  River  from  the  1974-75  egg  surveys  in 
the  Holyoke  Dam  impoundment  (NUSCo  1977).  Sub- 
stituting the  mean  weight  of  a  shad  egg  (0.00025 
g,  Leggett  1969)  and  the  mean  patchiness  index  into 
McGurk's  equation  4,  yields  an  instantaneous  daily 
egg  mortality  rate  of  0.34  which  closely  approx- 
imates our  average  estimate  (0.36)  from  1979  to 
1987  (Table  6). 

Lastly,  since  it  is  presently  unknown  if  younger 
(smaller)  virgin  female  American  shad  produce 
smaller,  less  viable  eggs  than  older  shad  as  was 
reported  for  cod,  Gadus  morhua,  (Knutsen  and 
Tilseth  1985),  the  contribution  of  the  age  structure 
to  the  parent  progeny  relationship  (Rosenberg  and 
Doyle  1986)  should  be  considered.  This  issue  and  an 
examination  of  whether  egg  deposition  rates  are 
density-dependent  should  be  addressed  by  monitor- 
ing egg  retention  rates  among  postspawning  Ameri- 
can shad. 

ACKNOWLEDGMENTS 

We  would  like  to  thank  Rita  Lorenzetti-Langan, 


Mary  Payette,  Thomas  Stanford,  and  all  the  other 
people  who  have  contributed  field  and  laboratory 
time  or  helpful  advice.  We  also  thank  the  two 
anonymous  reviewers  for  their  comments  on  the 
manuscript. 

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Wildl.,  20  p. 


481 


FISHERY  BULLETIN;  VOL.  86,  NO.  3 

APPENDIX  1 

The  total  prerecruitment  (ZTotal,)  and  postjuvenile  (ZAi)  mortality 
rates  from  1979  through  1987  were  estimated  by 

ZTotal^  =   -\og,iPart  *  200,000)  -  \og,{Rt) 

and 

ZAt  =  log,(J,)  -  \og,iR,), 

respectively.  The  standard  errors  about  ZTotal^  and  ZAi  were  estimated 
as  the  sum  of  the  variances  (Cochran  1965): 


■'ZTotal,   - 


C.2 


SE^Tntal.      =       V  + 


nt  n^ 


and 


respectively.  The  variance  estimates  (5|^,  Spavf)  of  adult  recruitment 
and  spawning  stock  size  were  calculated  from  the  log  transformed 
estimates  from  the  daily  lift  rates  at  the  Holyoke  Dam,  where  Uf  is  the 
total  number  of  days  in  which  99%  of  the  American  shad  were  lifted. 
The  variance  (Sj)  about  the  juvenile  abundance  estimates  (J^)  was  based 
on  the  log  transformed  catches  per  seine  haul  from  all  stations  and  col- 
lection dates,  where  rij  is  the  total  number  of  seine  hauls  made  in  that 
year. 


482 


METABOLIC  RESPONSES  OF  SPOT,  LEIOSTOMUS  XANTHURUS,  AND 

ATLANTIC  CROAKER,  MICROPOGONIAS  UNDULATUS,  LARVAE 

TO  COLD  TEMPERATURES  ENCOUNTERED  FOLLOWING 

RECRUITMENT  TO  ESTUARIES 


Donald  E.  Hoss,  Linda  Coston-Clements,  David  S.  Peters, 
AND  Patricia  A.  Tester^ 


ABSTRACT 

The  larvae  of  marine  fishes  that  spawn  during  fall-winter  in  coastal  North  Carolina  waters  experience 
a  decrease  in  temperature  as  they  enter  estuarine  nursery  areas.  To  determine  the  effect  of  changes 
in  temperature  on  larval  metabolism,  the  oxygen  consumption  of  spot,  Leiostomus  xanthurus,  and  Atlantic 
croaker,  Micropogonias  undulatus,  was  measured  and  their  QO2  and  Q^g  values  were  determined.  Atlan- 
tic croaker  respiration  decreased  with  temperature  at  rates  that  would  be  expected  if  no  compensation 
or  stress  were  involved.  Spot  showed  unexpectedly  high  respiration  rates  at  low  temperature.  The  in- 
creased respiration  is  apparently  due  to  stress.  Based  on  laboratory  feeding  and  growth  data,  we  con- 
cluded that  spot  are  subject  to  an  energy  deficit  at  <10°C.  We  infer  the  timing  of  larval  immigration 
corresponds  with  environmental  temperatures  reaching  tolerable  levels.  Atlantic  croaker  larvae  immigrate 
earlier  in  the  winter  and  are  exposed  to  cold  water  for  longer  periods  than  spot  larvae.  Our  conclusion 
is  that  stress  and  energy  loss  experienced  by  early  immigrating  spot  larvae  may  result  in  increased 
mortality. 


The  larvae  of  fishes  that  spawn  during  fall  and 
winter  in  offshore  North  Carolina  waters  experience 
a  decrease  in  both  temperature  and  salinity  as  they 
enter  estuarine  nursery  areas  (Fig.  1).  The  spot, 
Leiostomus  xanthurus,  and  Atlantic  croaker,  Micro- 
pogonias undulatus,  two  sympatric  species  of  Sciae- 
nidae,  are  representative  of  winter  spawning  species 
off  the  North  Carolina  coast. 

Previously,  we  have  examined  the  effects  of  in- 
creased temperature  on  the  oxygen  and  food  con- 
sumption of  the  postlarval  stages  of  these  two 
species  (Hoss  et  al.  1971,  1974;  Peters  and  Kjelson 
1975).  In  this  paper  we  continue  our  research  on  the 
early  life  history  of  these  species  and  evaluate  how 
decreasing  water  temperature,  encountered  follow- 
ing recruitment  into  estuarine  waters,  might  affect 
oxygen  consumption,  food  consumption,  and  ulti- 
mately survival. 

Crawshaw  et  al.  (1981)  stated  that  young  fish 
typically  select  warm  shallow  water  because  1)  it 
permits  more  rapid  growth  owing  to  higher  metab- 
olism, given  an  adequate  food  supply,  and  2)  the 
predation  by  larger  fish  is  less  in  shallow  water.  For 
some  fish  this  explanation  is  plausible,  but  this  does 
not  apply  to  the  larvae  of  many  winter-spawning 


'Southeast  Fisheries  Center  Beaufort  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  Beaufort,  NC  28516. 


marine  fishes  which  begin  life  in  relatively  warm 
coastal  waters  and  then  enter  colder  estuarine 
waters.  For  these  species  we  expect  that  metabolism 
and  growth  of  the  estuarine  immigrants  should  be 
reduced  (Brett  1956).  The  specific  objective  of  this 
paper  is  to  describe  how  decreasing  temperature 
affects  the  metabolism  of  larval  fish  as  they  are 
moved  from  warm  to  cold  water  by  a  combination 
of  passive  and  active  transport  mechanisms  that  are 
not,  as  yet,  completely  understood.  Oxygen  con- 
sumption is  a  common  method  of  estimating  meta- 
bolic activity,  which  frequently  changes  in  response 
to  environmental  conditions  (O'Hara  1968).  In  this 
study  we  measured  routine  oxygen  consumption 
which  is  the  amount  used  by  fish  whose  only  move- 
ments are  spontaneous. 

STUDY  AREA  AND  METHODS 

Spot  and  Atlantic  croaker  spawn  off  the  North 
Carolina  coast  inshore  of  the  Gulf  Stream  over  the 
continental  shelf  (Hildebrand  and  Cable  1930; 
Dawson  1958;  Powles  and  Stender  1978).  Here,  spot 
spawn  from  October  to  February,  but  principally 
from  December  to  January  while  Atlantic  croaker 
spawn  from  September  to  May  but  principally  be- 
tween October  and  December  (Lewis  and  Judy 
1983).  After  between  30  and  60  days  in  coastal 


Manuscript  accepted  May  1988. 

FISHERY  BULLETIN:  VOL.  86.  NO.  3,  1988. 


483 


North 


Carol 


^^6%o 


10  km 


21°C 


HOSS  ET  AL.:  METABOLIC  RESPONSES  OF  SPOT  AND  ATLANTIC  CROAKER 


waters  (Warlen  1982;  Warlen  and  Chester  1985),  the 
larvae  enter  estuaries  where  they  develop  into 
juveniles.  In  the  spawning  area,  water  temperatures 
are  usually  between  18°  and  25°C  (Fahay  1975; 
Hettler  and  Powell  1981).  The  fish  encounter  de- 
creasing temperatures  as  they  move  inshore  to  the 
estuarine  nursery  areas.  In  the  lower  Newport  River 
estuary,  for  example,  mean  water  temperatures  be- 
tween November  and  March  may  range  from  14° 
to  6°C  with  the  highest  temperatures  during  this 
period  occurring  in  November  and  the  lowest  in 
January  (Hoss  1974). 

Larvae  of  Atlantic  croaker  and  spot  were  obtained 
from  both  field  collections  and  eggs  spawned  in  the 
laboratory.  Older  larvae  were  captured  in  a  bridge 
net  (Hettler  1979)  and  held  in  the  laboratory  for  no 
more  than  a  week  prior  to  use.  First  feeding  larvae 
were  obtained  from  spawned  fish,  reproduced  by  the 
methods  of  Hettler  and  Powell  (1981),  and  then  were 
reared  at  experimental  temperatures. 

Oxygen  consumption  was  measured  with  a  differ- 
ential respirometer  (Umbreit  et  al.  1964),  following 
procedures  used  by  Hoss,  Hettler,  and  Coston 
(1974).  Fish  were  transferred  to  15  mL  respiration 
flasks  and,  following  a  2-h  acclimation  period,  their 
oxygen  consumption  was  measured.  Numbers  of  lar- 
vae per  flask  varied  between  1  and  30,  depending 
on  the  size  of  the  larvae.  Acclimation  temperatures 
were  10°,  15°,  and  20°C.  Notochord  or  standard 
lengths  and  dry  weights  were  obtained  for  individual 
fish. 

The  metabolic  equation  Q  =  aW^,  was  used  to 
describe  the  relation  between  oxygen  consumption 
and  dry  weight  of  fish  acclimated  at  10°,  15°,  and 
20°C.  In  this  equation,  W  is  the  weight  of  the  fish, 
and  a  and  k  are  constants  for  the  species  obtained 
from  least-squares  regression  of  the  log  of  oxygen 
consumption  on  the  log  of  weight  (Winberg  1956). 
A  k  value  of  0.67  implies  that  oxygen  consumption 
varies  in  proportion  to  surface  area,  whereas  a  value 
of  1  indicates  that  respiration  varies  in  proportion 
to  weight. 

We  used  the  metabolic  equation  to  estimate  oxy- 
gen consumption  of  larvae  of  equal  weight  at  differ- 
ent temperatures.  We  compared  larvae  of  4  mg  dry 
weight  because  this  is  the  realistic  estimate  of  their 
weight  as  they  are  transported  from  coastal  to  estu- 
arine waters  (Warlen  1982;  Warlen  and  Chester 
1985). 

Growth  and  feeding  rates  of  small  spot  (^20  mm 
SL)  collected  from  the  Newport  River  were  calcu- 
lated from  data  collected  in  the  laboratory  at  several 
temperatures.  Wet  weights  (^15-30  mg)  were  re- 
corded to  the  nearest  milligram,  and  10  fish  were 


randomly  assigned  to  4  L  test  and  control  con- 
tainers. Control  fish  were  dried  to  determine  the 
dry/wet  weight  ratio,  which  was  then  used  to  esti- 
mate initial  dry  weight  of  experimental  fish.  One 
experiment  was  conducted  at  6°,  8°,  10°,  12°,  and 
16°C,  and  two  experiments  were  conducted  at  18°C. 
In  all  cases  fish  were  fed  newly  hatched  brine  shrimp 
several  times  a  day  to  assure  an  ad  libitum  food 
supply.  After  4-6  days  all  food  was  removed;  lar- 
vae were  allowed  time  to  clear  their  guts  and  then 
were  dried  and  weighed. 

Growth  and  feeding  rates  were  expressed  as  per- 
cent of  body  weight  per  day.  Growth  rate  was 
calculated  from  the  expression: 


Growth  rate  =  100  [(WwAVo) 


l/n 


1] 


where  Wn  =  dry  weight  of  all  fish  in  a  tank  at  day 
n 
Wo  =  estimated  original  dry  weight  of  fish 
n  =  number  of  days  fed. 

Calculation  of  feeding  rates  required  the  assump- 
tion of  constant  growth  rates.  Using  original  dry 
weights  and  calculated  growth  rates  we  determined 
the  total  dry  weight  of  fish  in  each  container  at  the 
beginning  of  each  day.  Dry  weights  of  brine  shrimp 
eaten  each  day  divided  by  the  calculated  dry  weights 
of  fish  gives  proportion  of  body  weight  ingested. 
These  proportions  were  then  summarized  as  aver- 
age daily  percent  of  dry  body  weight  ingested. 

In  order  to  compare  metabolic  parameters,  i.e., 
oxygen  consumption,  feeding,  and  growth  rates,  the 
following  conversion  factors  were  used:  1.0  mg  dry 
wt  =  5.0  cal  (Thayer  et  al.  1973;  Paffenhoffer  1967); 
1.0  mg  O2  =  3.38  cal  (Phillipson  1966)  and  0.7  mg 
O2  =  1  mL  O2  at  STP.  One  tenth  calorie  per  fish 
per  day  was  added  to  all  the  rates  so  that  measured 
zeros  could  be  shown  on  a  log  scale. 

RESULTS  AND  DISCUSSION 

The  regression  equations  relating  oxygen  con- 
sumption to  weight  at  several  temperatures  are 
shown  in  Table  1.  Higher  coefficient  of  determina- 
tion (R^)  values  were  found  at  higher  temperatures, 
a  trend  best  explained  by  differences  in  the  size 
range  of  fish  measured  at  different  temperatures. 
Values  for  k,  were  generally  comparable  to  values 
reported  by  other  investigators  for  fish  of  a  similar 
size  and  at  comparable  temperatures— Hoss  (1974), 
pinfish;  Houde  and  Schekter  (1983),  bay  anchovy, 
sea  bream,  and  lined  sole;  Almatar  (1984),  herring; 
and  Laurence  (1978),  cod  and  haddock. 


485 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  1.— Metabolic  equations  relating  oxygen  consumption  to 
body  size.  Q  =  aW*  where  Q  =  oxygen  consumption  (piL  Oj  ■ 
h"'),  a  and  k  are  regression  coefficients,  W  is  dry  wt  in  mg,  N  is 
tfie  number  of  observations,  T  the  temperature,  and  Rj  the  coef- 
ficient of  determination. 


Species 

T 

N 

W 

a 

k 

R2 

Atlantic 

10 

52 

1.50  -  6.43 

1.80 

0.66 

0.42 

croaker 

15 

65 

1.90  -11.71 

2.00 

1.02 

0.65 

20 

81 

0.013-  9.31 

3.59 

0.86 

0.94 

Spot 

10 

37 

1.82  -  8.01 

3.63 

0.70 

0.54 

15 

48 

2.18  -10.27 

3.15 

0.64 

0.63 

20 

79 

0.014-  8.91 

4.07 

0.92 

0.97 

Comparing  between  measured  oxygen  consump- 
tion rates  at  10°  and  15°C  and  those  predicted  from 
Van't  Hoff's  equation  (Vernberg  and  Vernberg 
1972),  we  conclude  that  Atlantic  croaker  show  no 
sign  of  regulating  their  oxygen  consumption  as 
water  temperature  is  decreased.  The  difference  be- 
tween oxygen  consumption  rates  based  on  Q^q 
values  of  2  and  3  (Fig.  2)  is  an  expected  range.  For 
every  10°C  change  in  temperature,  the  rate  of  a 
chemical  reaction  typically  changes  by  a  factor  of 
2  to  3.  A  Qio  value  of  appreciably  <2  or  more  than 


a- 

z 
O 

h- 
o. 

ID 
CO 

z 
o 
o 


X 

o 


<iU 

Ta 

15 

'- 

Atlantic  croaker 

- 

.-.-5 

10 

- 

^  —  ^  ^  -^ 

8 

- 

.-''5''  ,,'-' 

- 

_^--''            ,''' 

6 

- 

-''''             ,--' 

2     ^'''' 

4 

i 1                            1 

20 
15 

10 
8 


Spot 


-'i 


10  15 


20 


TEMPERATURE  (°C) 


Figure  2.— Oxygen  consumption  rates  for  4  mg  Atlantic  croaker 
(A)  and  spot  (B)  at  three  temperatures  estimated  from  equations 
in  Table  1.  The  bars  indicate  standard  errors  from  regressions  in 
Table  1.  Broken  lines  are  estimates  of  the  rates  expected  based 
on  Van't  Hoff's  equation,  the  rate  measured  at  20°C,  a  Q^  of  2 
(upper  line)  and  a  Qjq  of  3  (lower  line). 


3,  indicates  that  some  process  other  than  a  chemical 
one  is  involved  (e.g.,  a  change  in  cell  membrane 
permeability).  A  Qjq  of  one  indicates  temperature 
independence  (Vernberg  and  Vernberg  1972).  Our 
conclusion  that  Atlantic  croaker  did  not  display 
thermal  stress  is  based  on  the  fact  that  measured 
respiration  rates  at  reduced  temperatures  (10°  and 
15°C)  were  within  the  range  expected  (Fig.  2A). 

For  spot  a  decrease  in  temperature  from  20°  to 
15°C  resulted  in  a  decrease  in  oxygen  consumption 
of  approximately  the  amount  expected  for  a  Qjq  of 
3.  A  further  decrease  in  temperature  to  10°C,  how- 
ever, caused  an  increase  in  the  respiration  rate.  The 
changes  in  oxygen  consumption  at  low  temperatures 
could  be  interpreted  either  as  adaptive,  i.e.,  main- 
taining a  high  metabolic  rate  even  at  the  lower  tem- 
perature, or  inadaptive,  i.e.,  a  metabolic  breakdown. 

Based  on  feeding,  growth,  and  survival  data,  how- 
ever, we  think  the  increase  in  respiration  by  spot 
at  10° C  is  a  result  of  cold  stress,  not  adaptation. 
In  Figure  3  we  present  three  measures  of  metabolic 
rate,  ad  libitum  feeding  rate,  maximum  growth  rate, 
and  routine  oxygen  consumption  for  spot,  all  as  a 
function  of  temperature.  Feeding,  growth,  and  oxy- 
gen consumption  rates  decrease  with  decreasing 
temperature  and  the  rates  are  similar  over  a  limited 
range  of  the  conditions  tested  (Fig.  3).  The  rates  of 
decline  in  feeding  and  growth  from  18°  to  12°C  ap- 
proximates that  of  oxygen  consumption  from  20° 
to  15° C.  At  lower  temperatures  stress  appears  to 
become  important.  For  example,  it  was  not  possi- 
ble to  measure  growth  at  10° C  or  below  because 
only  a  fraction  of  the  larvae  survived.  At  8°  and 
10° C  some  of  the  larvae  did  not  eat  and  at  6°C  none 
of  them  did.  This  agrees  with  Dawson  (1958)  who 
concluded  that  the  lethal  minimum  temperature  for 
spot  is  in  the  4.0°-5.0°C  range  and  probably  varies 
with  size.  The  intersection  of  ad  libitum  feeding  rate 
and  routine  oxygen  consumption  occurs  at  approx- 
imately 10°C  (Fig.  3).  At  this  temperature  there  is 
just  enough  energy  available  for  routine  metabolism. 
Below  this  temperature  there  is  not  enough  energy 
available  even  at  the  ad  libitum  feeding  rate  to 
maintain  the  larvae,  and  spot  held  at  this 
temperature  for  any  length  of  time  would  be  unlikely 
to  survive. 

We  conclude  from  our  data  on  metabolic  responses 
to  temperature  that  spot  and  Atlantic  croaker  lar- 
vae differ  in  their  response  to  cold  temperatures 
which  prevail  at  the  time  of  their  recruitment  to  the 
estuary  and  that  this  difference  may  have  impor- 
tant implications  for  their  survival.  Both  species 
spawn  in  warm  waters  of  the  continental  shelf 
where  the  eggs  hatch.  As  the  larvae  grow  they  are 


486 


HOSS  ET  AL.:  METABOLIC  RESPONSES  OF  SPOT  AND  ATLANTIC  CROAKER 


< 


I 
W 
Ll. 

w 

UJ 

cr 
o 

< 

o 


Figure  3.— Ad  libitum  feeding  rate,  growth  rate 
at  ad  libitum  feeding  rate,  and  routine  oxygen  con- 
sumption for  4  mg  dry  wt  spot  at  various 
temperatures  between  6°  and  20°C. 


10. Op 
80- 

60- 
4  0 


20- 


10 
0  8 
0  6 


0.4 


0.2 


Spot 


•  =  AD    LIBITUM  FEEDING  RATE 

A  =  GROWTH  RATE  AT  AD  LIBITUM  FEEDING 

O  -  ROUTINE  OXYGEN  CONSUMPTION 


n  1'         ^ ' 'I 


10  14  18  22 

TEMPERATURE  (°C) 


transported  from  warm  coastal  waters  into  cold 
estuarine  waters.  Atlantic  croaker  are  capable  of 
enduring  low  winter  temperatures  with  decreased 
metabolic  rates  that  allow  for  balanced  energy  in- 
take. Spot,  in  contrast,  show  signs  of  thermal  stress 
manifested  as  increased  respiration  rate  (at  10°C). 
This  increased  metabolism  along  with  no  attendant 
increase  in  feeding  results  in  an  energy  deficit  and 
in  eventual  mortality  of  the  larvae.  Species  specific 
differences  in  the  time  of  entry  to  the  estuary  serves 
as  ecological  evidence  supporting  our  contention 
that  spot  are  more  susceptible  to  cold  weather.  Most 
spot  enter  the  estuary  after  the  peak  in  Atlantic 
croaker  immigration  and  generally  after  the  coldest 
weather. 

Our  findings  have  important  implications  with 
respect  to  recruitment  of  estuarine-dependent  fish 
which  spawn  in  the  ocean  during  winter.  It  may  be 
that  during  severe  winters,  many  of  the  larvae  of 
cold  sensitive  species  (e.g.,  spot)  that  reach  the 
estuary  early  are  killed  by  cold  water  temperatures 
(10°C  or  less).  Thus,  only  the  late  arriving  larvae 
survive  to  recruit  into  the  fishery.  The  difference 
in  survival  between  severe  and  normal  winters  may 
help  to  explain  in  part  the  difference  between  good 
and  poor  year  classes  of  certain  fish. 

Acknowledgments 

We  thank  W.  Hettler  for  providing  eggs  of  labor- 
atory spawned  fish,  and  W.  Hettler  and  J.  Govoni 


for  providing  critical  reviews  of  the  manuscript.  This 
research  was  funded  in  part  by  a  cooperative  agree- 
ment between  the  National  Marine  Fisheries  Service 
and  the  Department  of  Energy  E(49-7)5. 

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124. 
Brett,  J.  R. 

1956.    Some  principles  in  the  thermal  requirements  of  fishes. 
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Downey. 
1981.    The  evolutionary  development  of  vertebrate  thermo- 
regulation.   Am.  Sci.  69:543-550. 
Dawson,  C.  E. 

1958.    A  study  of  the  biology  and  life  historj'  of  the  spot, 
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Fahay,  M.  p. 

1975.  An  annotated  list  of  larval  and  juvenile  fishes  captured 
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1979.    Modified  neuston  net  for  collecting  live  larval  and 
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1981.  Egg  and  larval  fish  production  at  the  NMFS  Beaufort 
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HiLDEBRAND,  S.  E.,  AND  L.  E.  CABLE. 

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1983.    Oxygen  uptake  and  comparative  energetics  among 
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1983.    The  occurrence  of  spot,  Leiostomus  xanthunis,  and 
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488 


GROWTH  OF  PACIFIC  SAURY,  COLOLABIS  SAIRA,  IN 
THE  NORTHEASTERN  AND  NORTHWESTERN  PACIFIC  OCEAN' 

YosHiRO  Waia.nabe,2  John  L.  Builer,^  and  Tsukasa  Mori^ 

ABSTRACT 

Growth  of  the  Pacific  saury,  Cololabis  saira,  from  the  northeastern  and  northwestern  Pacific  Ocean  was 
studied  using  otolith  growth  increments.  We  found  that  growth  of  Pacific  sauries  from  the  western  Pacific 
was  higher  than  that  from  the  eastern  Pacific.  Assuming  that  otolith  growth  increments  are  deposited 
daily,  average  growth  rates  from  hatching  up  to  1  year  old  were  0.62  mm/d  in  the  eastern  and  0.85  mm/d 
in  the  western  Pacific.  Because  the  growth  rate  changes  at  around  100  mm,  two  curves  were  used  to 
model  the  growth  of  Pacific  saury  in  the  western  Pacific:  one  for  fish  up  to  100  mm  and  the  other  for 
fish  larger  than  100  mm.  Based  on  counts  of  daily  increments.  Pacific  sauries  may  be  short  lived.  The 
oldest  specimen  examined  was  only  14  months  old. 


The  Pacific  saury,  Cololabis  saira  (Brevoort),  is 
distributed  throughout  the  North  Pacific  Ocean  and 
is  one  of  the  most  important  commercial  fishes  in 
the  northwestern  Pacific.  The  average  annual  catch 
of  Pacific  saury  in  Japan  has  been  approximately 
200,000 1  (metric  tons)  in  the  last  20  years  (Statistics 
and  Information  Department,  Japan  1985).  The 
catch  has  varied  by  an  order  of  magnitude  in  the 
last  20  years  from  a  minimum  of  63,000  t  in  1969 
to  a  maximum  of  406,000  t  in  1973.  Fluctuation  in 
stock  size  is  a  major  factor  in  catch  variability 
although  economic  factors  such  as  fish  price  may 
also  affect  total  landings.  However,  the  causes  of 
stock  fluctuation  in  the  western  Pacific  remain 
unknown.  In  the  eastern  Pacific,  the  Pacific  saury 
has  not  been  exploited  but  is  recognized  as  a  poten- 
tial fishery  resource  (Ahlstrom  1968;  Smith  et  al. 
1970). 

Investigations  of  the  Pacific  saury  have  mainly 
been  devoted  to  such  subjects  as  systematics,  abun- 
dance, distribution,  migration,  and  formation  of 
fishing  ground  in  relation  to  oceanographic  condi- 
tions (e.g.,  Hubbs  and  Wisner  1980;  Smith  et  al. 
1970;  Odate  1977;  Fukushima  1979;  Sablin  and 
Pavlychev  1982;  Gong  1984).  Age  determination  and 
growth,  however,  remain  controversial  (Hatanaka 
1955;  Hotta  1960;  Novikov  1960;  Sunada  1974;  Kim 


"Contribution  No.  429  from  Tohoku  Regional  Fisheries  Research 
Laboratory. 

^Tohoku  Regional  Fisheries  Research  Laboratory,  Fisheries 
Agency,  Shiogama,  Miyagi  985,  Japan. 

^Southwest  Fisheries  Center  La  Jolla  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  P.O.  Box  271,  La  Jolla,  CA 
92038. 

*Facu]ty  of  Fisheries,  Hokkaido  University,  Hakodate,  Hokkaido 
041,  Japan. 


and  Park  1981),  notwithstanding  their  critical  im- 
portance for  fish  stock  assessment. 

The  discovery  of  daily  increments  in  the  otoliths 
of  fishes  (Pannella  1971)  has  made  it  possible  to 
estimate  age  and  growth  of  larval  and  juvenile  fishes 
accurately.  Daily  increments  have  been  used  to  age 
many  species  of  fishes  (Jones  1986).  Nishimura  et  al. 
(1985)  reported  the  presence  of  growth  increments 
in  Pacific  saury  otoliths  observed  by  scanning  elec- 
tron microscopy  and  suggested  that  it  is  possible  to 
estimate  age  and  growth  of  Pacific  saury  by  using 
daily  increments  in  the  otolith.  The  purpose  of  this 
paper  is  to  determine  the  age  of  Pacific  sauries  from 
the  eastern  and  western  North  Pacific  using  daily 
increments  and  to  compare  the  growth  rates  in  these 
areas. 

MATERIALS  AND  METHODS 

We  read  otoliths  of  75  Pacific  sauries  from  the 
northeastern  and  172  from  the  northwestern  Pacific 
Ocean.  Details  of  sampling  and  methods  of  reading 
otoliths  are  summarized  in  Table  1  and  Figure  1. 
Additional  samples  from  the  western  Pacific  were 
used  to  determine  the  relation  between  otolith  size 
and  fish  length.  Fish  from  the  eastern  Pacific  were 
fixed  and  preserved  in  80%  alcohol  after  capture, 
and  those  from  the  western  Pacific  were  stored 
frozen  and  thawed  when  processed.  Because  speci- 
mens frequently  have  damaged  upper  jaws,  knob 
length  (the  distance  from  the  tip  of  the  lower  jaw 
to  the  posterior  end  of  the  muscular  knob  at  the  base 
of  a  caudal  peduncle)  is  the  standard  measure  of 
body  size  in  Pacific  saury.  All  body  lengths  in  this 
paper  are  knob  length. 


Manuscript  accepted  March  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


489 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  1.— Collection  records  of  saury  samples  from  the  eastern  (#  1-10)  and  the  western  (#  11-22) 
North  Pacific.     N  =  Neuston  net;  G  =  Gill  net;  D  =  Dip  net. 


Location 

Size  range 

Micro- 

Sample 

Date 

Lat. 

Long. 

No. 

(KnL  mm) 

Gear 

scope 

1 

80  06  29 

36°02'N 

124°04'W 

10 

19.8-109.0 

N 

LM 

2 

80  06  29 

36°07'N 

123°55'W 

10 

19.8-  66.0 

N 

LM 

3 

80  06  29 

36°07'N 

123°45'W 

10 

15.3-  96.0 

N 

LM 

4 

81  10  26 

46°36'N 

127°49'W 

5 

47,8-235.0 

N 

LM 

5 

81  10  27 

47°19'N 

126°09'W 

6 

38.0-142.0 

N 

LM 

6 

81  10  28 

47°20'N 

124°30'W 

12 

23.9-216.0 

N 

LM 

7 

81  10  29 

46°21'N 

127°38'W 

1 

209.0 

N 

LM 

8 

81  10  30 

46°38N 

125°54'W 

14 

20.6-  85.0 

N 

LM 

9 

81  11  01 

45°21'N 

127°38'W 

4 

27.0-  71.0 

N 

LM 

10 

81  11  02 

45°38'N 

124°51W 

3 

70.0-206.0 

N 

LM 

11 

84  05  26 

37°01'N 

164°02'E 

19 

145.0-230.0 

G 

SEM 

12 

84  06  02 

37°00'N 

158°00'E 

114 

38.0-125.0 

N 

SEM 

13 

84  07  16 

42°00'N 

172°00'E 

7 

213.0-282.0 

G 

SEM 

14 

84  10  06 

43°09'N 

153°14'E 

5 

300.0-330.0 

D 

SEM 

15 

85  05  20 

36°00N 

150°00'E 

3 

21.0-  69.5 

N 

LM 

16 

85  05  21 

38°15'N 

149°59'E 

2 

8.3-   12.5 

N 

LM 

17 

85  05  23 

38°30'N 

152°00'E 

2 

26.5-  45.5 

N 

LM 

18 

85  05  24 

38°00'N 

152°00'E 

9 

29.0-  85.0 

N 

LM 

19 

85  05  29 

38°45'N 

156°00'E 

3 

16.0-  33.5 

N 

LM 

20 

85  05  29 

38°30N 

ise-'oo'E 

2 

27.0-  33.0 

N 

LM 

21 

85  05  29 

38015N 

156°00'E 

3 

24.6-  65.0 

N 

LM 

22 

85  05  30 

38°00'N 

156°00'E 

3 

31.5-  68.5 

N 

LM 

140°E 


150°E  160°E  170°E 

Figure  1.— Locations  of  Pacific  saury  collection  in  the  North  Pacific.  Figures  by 


490 


WATANABE  ET  AL.:  GROWTH  OF  SAURY 


Sagittae  were  dissected  out  from  fish  and  left  to 
dry  after  removing  tissues  and  membranes.  We  used 
a  dissecting  microscope  with  a  polarizing  filter  to 
dissect  otoliths  from  small  larvae  and  juveniles.  The 
otoliths  were  read  either  by  light  microscopy  (LM) 
or  by  scanning  electron  microscopy  (SEM).  Otoliths 
that  were  to  be  read  by  LM  were  mounted  in 
EUKITT^  after  dissection.  Otolith  radius  was 
measured  from  the  focus  to  posterior  margin  and 
the  increments  were  counted  along  the  same  tran- 
sect using  the  otolith  reading  system,  which  was 
developed  by  the  Southwest  Fisheries  Center  of 
the  National  Marine  Fisheries  Service,  NOAA,  and 
which  consists  of  a  light  microscope,  a  video 
monitor,  a  micro-computer,  and  a  digitizer  (Methot 
1981). 

For  SEM,  otoliths  were  mounted  in  epoxy  or 
methacrylate  resin.  The  otolith  radius  was  measured 
from  the  focus  to  the  posterior  margin  with  an 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


optical  comparator.  The  otoliths  were  ground 
oblique  to  the  sagittal  plane  parallel  to  the  long 
axis  of  the  otolith  in  order  to  have  a  flat  plane 
through  the  otolith  nucleus.  The  polished  surface 
was  washed  in  xylene,  using  an  ultrasonic  washer, 
then  dried  and  etched  for  50  seconds  with  0.2M 
EDTA-2Na  (disodium  ethylenediaminetetraacetic 
acid).  The  etched  surface  was  coated  with  palladium 
platinum  and  observed  under  an  SEM  (JSM-25)  at 
15  kV. 

The  three  authors  of  this  paper  read  saury  oto- 
liths independently:  the  senior  author  read  fish  from 
the  western  Pacific  up  to  85  mm  by  LM,  the  second 
author  read  otoliths  from  the  eastern  Pacific  by  LM, 
and  the  third  read  otoliths  from  the  western  Pacific 
larger  than  38  mm  by  SEM.  To  confirm  that  we 
were  all  interpreting  the  same  structure  as  growth 
rings  by  SEM  and  LM,  we  compared  50  data  points 
read  by  SEM  and  14  points  read  by  LM  for  west- 
ern Pacific  sauries  between  38  and  85  mm.  The 
distribution  of  increment  number  versus  knob  length 
was  the  same.  We  also  checked  for  possible  biases 
for  the  two  readers  using  LM  by  having  each  read 
the  same  set  of  otoliths  independently. 


130°W  120°W 

dots  indicate  sample  numbers  in  Table  1. 


RESULTS 

The  nucleus  of  a  Pacific  saury  sagitta  is  approx- 
imately 20  ^m  in  diameter  and  is  composed  of  four 
to  six  small  dense  bodies  which  appear  to  be  assem- 
blages of  calcareous  spherules  (Fig.  2a).  These  dense 
bodies  are  separated  from  one  another  and  each  is 
surrounded  by  a  small  concentric  ring. 

We  observed  the  nucleus  areas  of  otoliths  from 
Pacific  sauries  collected  in  the  western  Pacific  in 
1985  (sample  #  15-22)  and  found  that  most  of 
them  had  a  distinct  ring  of  about  27  fim  in  radius. 
Between  the  nucleus  and  this  distinct  ring,  four 
(or  five)  indistinct  growth  rings  were  detected  (Fig. 
2b). 

We  measured  knob  lengths  of  27  larval  and  juven- 
ile Pacific  sauries  before  freezing  and  after  thaw- 
ing, and  found  that  the  ratio  of  these  two  measure- 
ments was  0.997.  There  was  virtually  no  shrinkage 
by  freezing  and  thawing.  Theilacker  (1980)  found 
that  preservation  of  larval  northern  anchovy, 
Engraulis  mordax,  in  80%  alcohol  did  not  cause 
additional  shrinkage  of  the  body  after  net  treatment. 
Thus,  knob  lengths  after  both  80%  alcohol  preser- 
vation and  freezing  are  comparable  to  each  other, 
and  this  measurement  corresponds  to  the  size  after 
net  treatment.  Since  shrinkage  factors  by  net  treat- 
ment are  not  known  for  the  saury,  lengths  are  un- 
corrected for  net  shrinkage. 


491 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


if 


.^1 


^ 


a 


Figure  2.— Light  micrographs  of  Pacific  saury  sagittae.    a)  OtoHth  nucleus  composed  of  5  or  6  separate  dense  bodies  with  surrounding 

cores,    b)  Assumed  4  embryonic  and  1  hatching  (arrow)  rings. 


The  daily  periodicity  of  growth  increment  forma- 
tion in  the  Pacific  saury  has  not  been  verified.  For 
that  reason  we  plotted  the  number  of  increments 
versus  knob  length  instead  of  age  versus  length.  We 
used  the  Laird-Gompertz  equation  to  describe  the 
relations  of  increment  number  and  length  as  growth 
curves  for  both  the  eastern  and  western  Pacific 
saury.  Hatching  size  of  artificially  fertilized  and  in- 
cubated Pacific  saury  from  the  western  Pacific  was 
reported  to  be  7.19  mm  in  average  live  total  length 
(Yusa  1960).  From  the  drawing  of  a  newly  hatched 
larva  in  Yusa's  paper,  we  estimated  live  knob  length 
to  be  6.60  mm.  Shrinkage  factors  of  northern  an- 
chovy in  the  size  range  from  6.00  to  7.99  mm  were 
0.90  for  a  5-min  net  treatment  and  0.85  for  a  10-min 
net  treatment  (Theilacker  1980).  Using  these  values, 
the  capture  size  of  a  newly  hatched  larva  of  Pacific 
saury  after  a  5-min  net  treatment  was  estimated  to 
be  5.95  mm  and  a  10-min  treatment  to  be  5.61  mm. 
We  fixed  the  hatching  size  from  5.85  to  5.95  mm 
in  the  growth  curve,  because  the  Pacific  saury  lar- 
vae at  this  size  are  in  a  more  advanced  develop- 


mental stage  and  shrank  less  by  net  treatment  than 
northern  anchovy. 

The  resulting  growth  equation  for  the  eastern 
Pacific  saury  was 

KnL  =  5.85  exp((0.0427/0.115)(l  -  e(-o.oii5(/-5)))) 


and  the  equation  for  the  western  Pacific  saury  was 
KnL  =  5.95  exp((0.0504/0.0128)(l  -  e(-ooi28(/-5)))) 

where  KnL  is  a  knob  length  in  mm  and  /  is  the  total 
number  of  increments  observed  in  an  otolith.  The 
term,  7-5,  indicates  that  five  increments  were  pre- 
sumed to  have  been  present  at  hatching.  Data  from 
the  western  Pacific  saury  appear  to  consist  of  two 
curves  separated  around  100  mm  in  KnL.  Two 
Laird-Gompertz  curves  fit  much  better  than  one 
curve.  The  intersection  of  the  two  curves  was  at  1 14 
increments  and  100  mm.  The  growth  equation  for 
fish  smaller  than  100  mm  was 


492 


WATANABE  ET  AL.:  GROWTH  OF  SAURY 

KnL  =  5.90  exp((0.0865/0.0293Xl  -  e(-oo293(/-5)))) 
and  for  fish  larger  than  100  mm  KnL  was 

KnL  =  3.01  exp((0.0592/0.0126)(l  -  e(-o.oi26(/-5)))) 

The  estimated  mean  square  error,  215.7,  of  the  two 
curves  was  smaller  than  that  for  a  single  curve, 
351.7.  The  two-curve  model  fits  much  better  for  the 
smaller  size  range  up  to  100  mm.  The  estimated 
mean  square  error  of  the  two-curve  model  for  this 
size  range,  75.7,  was  much  smaller  than  that  of  the 
one-curve  model,  240.8. 

The  growth  rate  of  Pacific  saury  in  the  eastern 
Pacific  was  slower  than  that  in  the  western  Pacific 
(Figs.  3,  4).  The  knob  length  of  saury  in  the  eastern 
Pacific  would  be  about  75  mm  at  100  rings,  170  mm 
at  200  rings,  and  220  mm  at  300  rings,  whereas  in 
the  western  Pacific  knob  length  would  be  about  100 
mm  at  100  rings,  230  mm  at  200  rings,  and  300  mm 
at  300  rings.  Assuming  that  the  rings  are  formed 
daily,  overall  growth  rates  of  the  first  one  year 
of  their  life  were  0.62  mm/d  and  0.85  mm/d  for 


the  eastern  and  western  Pacific  Ocean,  respectively. 

The  largest  specimen  examined  was  330  mm  from 
the  western  Pacific,  which  had  328  increments,  and 
the  oldest  fish,  also  from  the  western  Pacific,  which 
measured  320  mm,  had  only  418  increments.  These 
fish  would  be  classified  as  very  large  or  large  by 
Novikov's  categories  offish  size  composition  (Novi- 
kov  1960, 1973).  The  largest  fish  examined  from  the 
eastern  Pacific  was  235  mm  and  had  241  incre- 
ments. Hughes  (1974),  however,  reported  larger  fish 
from  the  eastern  Pacific. 

In  Pacific  saury  from  the  western  Pacific,  the  rela- 
tion between  otolith  radius  in  f^m  (OR)  and  knob 
length  in  mm  (KnL)  was  linear  on  logarithm- 
logarithm  coordinates  (Fig.  5).  The  equation  com- 
puted by  the  geometric  mean  regression  (Ricker 
1973)  was 

In  (OR)  =  2.33  +  0.749  In  (KnL)  (r  =  0.979). 

The  otolith  radius  at  hatching  (5.9  mm  KnL)  cal- 
culated by  this  formula  was  38.9  ^im,  which  was  12 
/im  larger  than  the  radius  of  the  presumed  hatch- 
ing ring. 


200   - 


E 
E 

I 

H 

o 

z 

UJ 

_J 

CO 

o 


100  - 


00427  f     ^(-0.0115(l-5))\ 
0.0115  ^   ^®  ' 


KnL:    KNOB  LENGTH 

I:    NUMBER  OF  INCREMENTS 


100  200 

NUMBER  OF  INCREMENTS 

Figure  3.— Growth  curve  of  the  eastern  Pacific  saury. 


300 


493 


FISHERY  BULLETIN;  VOL.  86,  NO.  3 


300 


£    200 

£ 

X 
I- 

o 

z 
111 

_J 

m 
O 

z 

^    100 


50 


KnL  =  5.95e 


0.0504  /      ^(-0.0128(l-5))\ 
0.0128^^"®  ' 


I  <114 

0.0865  /        {-0.0293{l-5))\ 

KnL  =  5.90e  0.0293  ^^'^  ' 

0.0592  /        (-0.0126(1-5))) 

KnL  =  3.01e  0.0126^^"® 

KnL:    KNOB  LENGTH 

I:     NUMBER  OF  INCREMENTS 


50 


100 


200 


300 


400 


NUMBER  OF  INCREMENTS 

Figure  4.— Growth  curve  of  the  western  Pacific  saury. 


DISCUSSION 

The  microstructure  of  otolith  growth  increments 
of  the  Pacific  saury  is  similar  to  that  of  daily  incre- 
ments in  some  other  fishes  (Nishimura  et  al.  1985). 
Thus,  the  following  discussion  is  based  on  the 
assumption  that  the  increments  are  daily  growth 
rings.  A  rearing  experiment  of  larval  sauries  is 
under  way  in  the  senior  author's  laboratory  to  verify 
daily  periodicity  of  the  increment  formation. 

Formation  of  a  few  embryonic  growth  rings  or  a 
lamellar  structure  has  been  reported  in  California 
grunion,  Leuresthes  tenuis,  (Brothers  et  al.  1976); 
mummichog,  Fundulus  heteroclitus,  (Radtke  and 
Dean  1982);  and  walleye  pollock,  Theragra  chalco- 
gramma,  (Nishimura  and  Yamada  1984).  Radtke 
and  Dean  (1982)  mentioned  that  deposition  of 
growth  rings  in  the  embryonic  stage  might  be 


related  to  a  long  incubation  period.  Pacific  saury  has 
a  long  incubation  period— about  17  days  under 
13.5°-15.7°C  (Yusa  1960).  At  this  temperature,  eye 
pigmentation  begins  7  or  8  days  before  hatching, 
and  pectoral  fins  show  constant  movement  from  5 
or  6  days  before  hatching  (Yusa  1960).  Notochord 
flexion  occurs  about  midway  through  embryonic 
development  at  14°-22°C  (Uchida  et  al.  1958).  Thus 
saury  is  more  advanced  at  hatching  than  killifish 
based  on  the  embryonic  development  of  killifish 
reported  by  Armstrong  and  Child  (1965).  Observ- 
ing the  central  area  of  otoliths,  we  found  four  faint 
rings  and  a  dark  ring  immediately  outside  of  those 
rings.  We  assumed  therefore  that  the  four  faint 
rings  are  embryonic  rings  and  the  dark  ring  is  the 
hatching  ring.  This  assumption  may  be  confirmed 
by  examining  otoliths  of  late  embryos  and  newly 
hatched  larvae  of  saury. 


494 


WATANABE  ET  AL.:  GROWTH  OF  SAURY 
1000  I- 


500 


CO 

Q 
< 
CC 


o 

I- 

o 


100 


40 


In  OR  =2.33  +0.749  In  KnL 
r  =  0.979 

OR:     OTOLITH  RADIUS 
KnL:     KNOB  LENGTH 

J \ \ \ 


10 


50  100 

KNOB  LENGTH  (mm) 


200      300 


Figure  5.— Knob  length  and  otolith  radius  relationship  of  the  western  Pacific  saury. 


Previous  studies  on  age  and  growth  of  the  Pacific 
saury  have  based  on  annuli  on  scales  and/or  otoliths. 
Sunada  (1974)  found  five  age  groups  in  Pacific 
sauries  off  southern  Oregon,  California,  and  Baja 
California.  Mean  fork  lengths  of  age  groups  were 
171,  220,  246,  270,  and  268  mm  for  age  0,  1,  2,  3, 
and  4,  respectively.  Hughes  (1974)  examined  age 
composition  of  5,248  sauries  collected  in  waters  off 
California  up  to  Vancouver  Island.  He  found  spring- 
and  autumn-bom  fish  in  his  samples,  but  little  differ- 
ence was  noted  in  growth  rates  between  two  groups. 
Approximate  knob  lengths  of  1.0-  to  5.0-year-old  fish 
were  180,  230,  255,  290,  310  mm.  The  growth  rates 
given  in  these  two  papers  are  not  very  much  dif- 
ferent. The  saury  grows  at  0.5-0.6  mm/d  up  to  1 
year  old,  which  is  almost  equal  to  our  growth  rate 
in  the  eastern  Pacific,  0.62  mm/d.  Hatanaka  (1955) 
found  five  age  groups  in  the  western  population  of 
the  saury,  0-4  years  old,  and  estimated  mean  body 
length  of  age  groups  to  be  80,  160,  230,  265  mm  for 
1-  to  4-year-old  fish,  respectively.  Novikov  (1960, 
1973)  divided  sauries  captured  in  autumn  into  five 
size  groups,  very  small  ( -  200  mm),  small  (201-240), 
medium  (241-290),  large  (291-320),  and  very  large 
(321-(-),  and  assigned  the  small,  medium,  and  large 


to  1-,  2-,  and  3-year-old  with  maximum  5-year-old 
fish. 

A  different  model  of  Pacific  saury  growth  in  the 
western  Pacific  was  proposed  by  Hotta  (1960)  based 
upon  a  hypothesis  of  two  subpopulations.  He  separ- 
ated the  saury  into  spring-spawning  and  autumn- 
spawning  populations  based  upon  the  observations 
of  fish  size  composition,  scales,  otoliths,  and  num- 
bers of  vertebrae.  He  assigned  four  ages  of  half  year 
intervals,  1.0,  1.5,  2.0,  2.5  years  old,  to  fish  210-240, 
260-280,  290-300,  and  310-330  mm,  respectively. 
The  growth  rate  up  to  1  year  was  0.6-0.7  mm/d.  Kim 
and  Park  (1981)  examined  Pacific  sauries  from 
Korean  waters  and  found  four  size  groups  of  four 
different  ages  of  half-year  intervals  as  well.  They 
presented  two  growth  models  for  each  of  two  sub- 
populations,  spring  and  autumn  spawning,  based 
upon  the  von  Bertalanffy  equation.  The  sizes  at  ages 
were  almost  identical  to  those  of  Hotta  (1960).  How- 
ever, the  hypothesis  of  two  saury  subpopulations  in 
the  western  Pacific  is  not  supported  by  electro- 
phoretic  analyses  of  genetic  separation  (Numachi 
1971;  Hara  et  al.  1982). 

The  average  growth  rate  of  the  western  Pacific 
saury  in  this  paper  was  1.1  mm/d  from  0  to  8  or 


495 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


9  months  old.  It  was  still  faster  than  Novikov's 
growth  rate  of  the  corresponding  age  period  (0.83 
mm/d),  which  was  the  highest  rate  of  all  the  previous 
reports.  The  fish  would  become  316  mm  in  one  year 
according  to  our  model. 

Support  for  the  fast  growth  rate  of  Pacific  saury 
presented  in  this  paper  in  the  western  Pacific  can 
be  found  in  rearing  experiments.  Hotta  (1958) 
reared  young  sauries  caught  by  a  set  net.  He  reared 
them  in  a  crawl  and  fed  them  minced  anchovy  and 
mackerel  twice  a  day.  Young  sauries  116  mm  in 
mean  length  became  172  mm  in  the  rearing  period 
after  72  days.  The  growth  rate  was  0.78  mm/d.  The 
sauries  fed  three  times  a  day  grew  130-143%  faster 
than  the  group  fed  twice  a  day.  Thus  growth  rates 
of  young  sauries  may  be  higher  than  1.1  mm/d  (0.78 
X  1.4  mm/d)  when  food  is  readily  available.  Our 
growth  rate  of  sauries  in  this  size  range  was  approx- 
imately 1.5  mm/d  in  the  western  Pacific.  For  Atlan- 
tic saury,  Scomberesox  saurus  scombroides,  reared 
by  Brownell  (1983),  the  average  growth  rate  of  the 
larvae  was  0.62  mm/d  from  hatching  (7.5  mm  SL) 
to  47-day  old  (36.8  mm  SL).  The  growth  rates  of 
Cololabis  saira  in  a  corresponding  period  were  0.48 
mm/d  in  the  eastern  Pacific  and  1.0  mm/d  in  the 
western  Pacific. 

Our  results  indicate  that  the  growth  rate  of  Pacific 
saury  in  the  western  Pacific  is  much  higher  than  in 
the  eastern  Pacific.  This  could  be  due  to  a  differ- 
ence in  food  availability  between  the  two  areas. 
However,  mean  zooplankton  standing  stock  in 
1951-66  was  34.8  g/m^  in  the  California  Current 
region  in  June  (Smith  and  Eppley  1982),  whereas 
that  of  Kuroshio  water  off  southern  Japan  was  4.7 
g/m^  and  of  Oyashio  area  off  northern  Japan  was 
25.7  g/m2  in  May  to  July  (Odate  1986).  Thus,  differ- 
ences in  zooplankton  standing  stock  do  not  explain 
the  difference  in  growth  rates. 

On  the  other  hand,  there  seems  to  be  a  reasonable 
explanation  for  the  reacceleration  of  growth  rate  at 
around  100  mm  in  the  western  Pacific  saury.  The 
western  sauries  hatch  out  mainly  in  offshore  water 
of  the  Kuroshio  Current  (lat.  31-33°N)  off  Japan 
in  winter.  They  migrate  north  to  the  Oyashio  area 
(up  to  46-50 °N)  where  copepods  are  highly  avail- 
able. Young  and  adult  sauries  feed  actively  and  gain 
fat.  They  are  in  the  northward  migration  stage  in 
early  summer  when  they  are  about  100  mm,  and  are 
moving  from  poor  Kuroshio  water  to  rich  Oyashio 
water  (Fukushima  1979).  High  zooplankton  stand- 
ing stock  in  the  Oyashio  water  and  its  derivatives 
might  be  responsible  for  the  reacceleration  of 
growth  rate  in  fish  older  than  100  days. 

The  growth  rates  of  Pacific  saury  in  the  western 


Pacific  may  differ  from  year-to-year  due  to  environ- 
mental factors  and  may  result  in  changes  in  size 
composition  of  the  fish.  Between  1968  and  1972, 
mean  knob  length  of  exploited  sauries  in  the  west- 
ern Pacific  was  170-250  mm,  whereas  in  the  1980's 
the  major  mode  in  the  size  composition  was  290-310 
mm  (S.  Kosaka'').  This  increase  could  have  been 
due  to  an  acceleration  of  growth  rate  or  a  shift  of 
spawning  season  to  early  months  or  both  in  recent 
years.  The  high  growth  rate  of  western  Pacific  saury 
presented  in  this  paper  has  come  from  specimens 
collected  in  1984  and  1985.  The  growth  rate  in  the 
late  1960's  and  early  1970's  may  have  been  lower 
than  that  presented  in  this  paper.  Investigation  of 
the  interannual  variation  in  growth  rates  using  daily 
increments  would  distinguish  between  these  two 
hypotheses. 

We  used  three  different  gears  to  collect  Pacific 
saury  samples  in  the  western  Pacific.  Knob  lengths 
of  sauries  collected  were  from  8.3  to  125  mm  by  ring 
net,  145  to  282  mm  by  gill  net,  and  300  to  330  mm 
by  stick-held  dip  net.  Sauries  of  125-145  mm  might 
not  be  available  either  to  the  ring  net  or  to  the  gill 
net.  Further,  the  ring  net  may  select  small  juveniles 
of  a  cohort  in  the  size  range  over  100  mm,  and  this 
may  have  produced  the  two  growth  curves.  This 
problem  needs  to  be  examined  further  with  data  on 
gear  selectivity. 

We  do  not  know  how  long  Pacific  sauries  survive 
after  becoming  adult.  The  oldest  specimen  in  our 
sample  was  about  14  months  old  after  hatching  (418 
increments).  The  largest  saury  aged  (330  mm), 
which  had  328  growth  rings,  is  close  to  the  max- 
imum size.  Although  the  maximum  known  length 
of  the  Pacific  saury  was  reported  to  be  about  400 
mm  (Hubbs  and  Wisner  1980),  the  largest  fish  ex- 
ploited in  Japan  is  about  340  mm.  Therefore,  the 
lifespan  of  the  Pacific  saury  is  about  one  year  in  the 
western  Pacific.  Our  results  are  more  consistent 
with  those  of  Kosaka  (1979)  who  found  two  age 
groups  (0  and  1  year)  than  those  (Sablin  1979)  who 
found  three  age  groups  (0,  1,  and  2  years). 

In  Japan,  fishing  efforts  of  the  Pacific  saury  is 
regulated  by  fishing  season  as  well  as  by  the  num- 
ber of  fishing  boats.  The  fishing  season  starts  in  mid- 
August.  Pacific  sauries  hatched  in  the  main  spawn- 
ing season  are  about  250  days  old  at  this  time  of  year 
(approximately  270  mm)  and  are  grovdng  at  the  rate 
of  0.8  mm/d.  Thus  a  2-wk  postponement  at  the 
beginning  of  fishing  season  would  result  in  an  11 
mm  (10-15  g  body  weight)  increase  of  average  fish 


*S.  Kosaka,  Tohoku  Regional  Fisheries  Research  Laboratory, 
Fisheries  Agency,  Shiogama,  Miyagi  985,  Japan,  pers.  commun. 


496 


WATANABE  ET  AL.;  GROWTH  OF  SAURY 


length.  The  biomass  and  yield  of  Pacific  saury  need 
to  be  reestimated  based  on  faster  growth  rates 
presented  here. 

ACKNOWLEDGMENT 

We  thank  A.  Nishimura  of  Hokkaido  Salmon 
Hatchery;  J.  Yamada  of  Hokkaido  University;  R. 
Lasker,  S.  Tsuji,  and  N.  C.  H.  Lo  of  Southwest 
Fisheries  Center  of  National  Marine  Fisheries  Ser- 
vice (NMFS),  NOAA;  and  S.  Kosaka  and  T.  Wata- 
nabe  of  the  Tohoku  Regional  Fisheries  Research 
Laboratory  for  valuable  suggestions  and  reading  the 
manuscript.  We  also  thank  A.  W.  Kendell  Jr.  of  the 
Northwest  and  Alaska  Fisheries  Center,  NMFS, 
NOAA,  for  providing  us  with  some  specimens  from 
the  eastern  Pacific,  and  D.  Abramenkoff  of  the 
Southwest  Fisheries  Center  for  help  in  reading  Rus- 
sian papers.  Y.  Watanabe  would  like  to  thank  the 
Science  and  Technology  Agency  of  Japan  for  fund- 
ing his  stay  at  the  Southwest  Fisheries  Center. 

LITERATURE  CITED 

Ahlstrom,  E.  H. 

1968.    An  evaluation  of  the  fishery  resources  available  to 
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New  Ser.  IV. 
Armstrong,  P.  R,  and  J.  S.  Child. 

1965.    Stages  in  the  normal  development  of  Fundulxis  hetero- 
clitus.    Biol.  Bull.  128:143-168. 
Brothers,  E.  B.,  C.  P.  Mathews,  and  R.  Lasker. 

1976.    Daily  growth  increments  in  otoliths  from  larval  and 
adult  fishes.    Fish.  Bull.,  U.S.  74:1-8. 
Brownell,  C.  L. 

1983.  Early  growth  rate  and  feeding  of  a  small  group  of 
laboratory-reared  saury,  Scomberesox  saurus  scombroides 
(Pisces:  Scomberesocidae).    S.  Afr.  J.  Mar.  Sci.  1:245-248. 

FUKUSHIMA,  S. 

1979.    Synoptic  analysis  of  migration  and  fishing  conditions 

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Tohoku  Reg.  Fish.  Res.  Lab.  41:1-70. 
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Hara,  M.,  a.  Kijima,  and  Y.  Fujino. 

1982.    Genetic  study  on  population  structure  of  Pacific  saury. 
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Hatanaka,  M. 

1955.    Biological  studies  on  the  population  of  the  saury,  Colo- 
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Hotta,  H. 

1958.    On  the  growth  of  the  young  saury,  Cololabis  saira,  in 
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and  their  growth.    (In  Jpn.)    Bull.  Tohoku,  Reg.  Fish.  Res. 
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HUBBS,  C.  L.,  AND  R.  L.  Wisner. 

1980.  Revision  of  the  sauries  (Pisces,  Scomberesocidae)  with 
description  of  two  new  genera  and  one  new  species.  Fish. 
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Hughes,  S.  E. 

1974.    Stock  composition,  growth,  mortality,  and  availability 
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Jones,  C. 

1986.    Determining  age  of  larval  fish  with  the  otolith  incre- 
ment technique.    Fish.  Bull.,  U.S.  84:91-103. 
Kim,  Y.  M.,  and  Y.  J.  Park. 

1981.  A  study  on  the  growth  of  saury,  Cololabis  saira  (Bre- 
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waters.  (In  Korean)  Bull.  Fish.  Res.  Dev.  Agency  27: 
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Kosaka,  S. 

1979.  Sanma  no  nenrei  seicho  ni  tsuite  (Age  and  growth  of 
saury).  (In  Jpn.)  Rep.  Japan-Soviet  Coop.  Res.  Meet. 
Saury  Scomber  11:118-122. 

Methot,  R.  D. 

1981.  Growth  rates  and  age  distributions  of  larval  and  juven- 
ile northern  anchovy,  Engraulis  mordax,  with  inferences  on 
larval  survival.  Ph.D.  Thesis,  Univ.  California,  San  Diego, 
209  p. 

Nishimura,  A.,  Y.  Watanabe,  and  J.  Yamada. 

1985.  Daily  growth  increment-like  microstructure  in  otoliths 
of  the  Pacific  saury  Cololabis  saira.  (In  Jpn.)  Bull.  Tohoku 
Reg.  Fish.  Res.  Lab.  47:33-35. 

Nishimura,  A.,  and  J.  Yamada. 

1984.  Age  and  growth  of  larval  and  juvenile  walleye  pollock 
Theragra  chalcogramma  (Pallas),  as  determined  by  otolith 
daily  growth  increments.  J.  Exp.  Mar.  Biol.  Ecol.  82:191- 
205. 

NoviKOV,  Yu.V. 

1960.  Oprjedjenije  vozrasta  po  chjeshchuje  i  vozrastnoi  sostav 
sairy  (Cololabis  saira  (Brevoort))  v  raionje  ziuzhnykh 
kuril'skikh  ostrovov  (Determination  of  age  by  scales  and  age 
composition  of  saury  (Cololabis  saira  (Brevoort))  in  region 
of  southern  Kuril  Islands).  (In  Russ.)  Izv.  TINRO  46:233- 
241. 
1973.  Izuchjenije  populiatsionnoi  struktury  i  vozrastnogo 
sostava  sairy  sjevjero-zapadnoi  chasti  tikhogo  okjeana  (The 
study  of  population  structure  and  age  composition  of  saury 
of  north-western  part  of  the  Pacific  Ocean).  (In  Russ.)  Izv. 
TINRO  87:149-154. 

NUMACHI,  K. 

1971.  Kouso  no  takei  ni  yoru  sanma  keitougun  ni  kansuru 
kenkyu  (Study  on  the  population  of  the  Pacific  saury  based 
upon  analyses  of  enzymatic  polymorphism).  (In  Jpn.) 
Ocean  Res.  Inst.,  Univ.  Tokyo,  Tokyo,  57  p. 

Odate,  S. 

1977.  On  the  distribution  of  Pacific  saury  in  the  North  Pacific 
Ocean.  (In  Jpn.)  Res.  Inst.  North  Pac.  Fish.  Sp.  Vol., 
p.  353-382.  Fac.  Fish.,  Hokkaido  Univ.,  Hakodate,  Ja- 
pan. 

Odate,  K. 

1986.  Automatic  data  processing  for  estimation  of  abundance 
of  zooplankton  in  the  waters  off  northeastern  Honshu, 
Japan,  1951-1976.  an  Jpn.)  Bull.  Tohoku  Reg.  Fish.  Res. 
Lab.  48:31-47. 

Pannella,  G. 

1971.  Fish  otoliths:  daily  growth  layers  and  periodical  pat- 
terns.   Sci.  173:1124-1127. 


497 


Radtke,  R.  L.,  and  J.  M.  Dean. 

1982.    Increment  formation  in  the  otoliths  of  embryos,  larvae, 
and  juveniles  of  the  mummichog,  Fundulus  heteroclitus. 
Fish.  Bull.,  U.S.  80:201-215. 
RiCKER,  W.  E. 

1973.    Linear  regressions  in  fishery  research.    J.  Fish.  Res. 
Board  Can.  30:409-434. 
Sablin,  V.  V. 

1979.    Sanma  no  nenrei  ni  kansuru  mondai  ni  tsuite  (Problems 
on  age  composition  of  saury).    (In  Jpn.)    Rep.  Japan-Soviet 
Coop.  Res.  Meet.  Saury  Scomber  11:114-117. 
Sablin,  V.  V.,  and  V.  P.  Pavlychev. 

1982.    Dependence  of  migration  and  catch  of  Pacific  saury 
upon  thermal  conditions.    Bull.  Tohoku  Reg.  Fish.  Res.  Lab. 
44:109-117. 
Smith,  P.  E.,  E.  H.  Ahlstrom,  and  H.  D.  Casey. 

1970.    The  saury  as  a  latent  resources  of  the  California  Cur- 
rent.   Calif  Coop.  Oceanic  Invest.  Rep.  14:88-130. 
Smith,  P.  E.,  and  R.  W.  Eppley. 

1982.    Primary  production  and  the  anchovy  population  in  the 


FISHERY  BULLETIN:  VOL.  86,  NO,  3 

Southern   California   Bight:   Comparison   of  time  series. 
Limnol.  Oceanogr.  27:1-17. 
Statistics  and  Information  Department,  Japan. 

1985.    Fisheries  statistics  of  Japan  1984.    Minist.  Agric,  For. 
Fish.,  Jpn.,  288  p. 
Sunada,  J.  S. 

1974.    Age  and  growth  of  the  Pacific  saury,  Cololabis  saira. 
Calif  Fish  Game  60:64-73. 
Theilacker,  G.  H. 

1980.    Changes  in  body  measurements  of  larval  northern 
anchovy,  Engraulis  mordax,  and  other  fishes  due  to  handling 
and  preservation.    Fish.  Bull.,  U.S.  78:685-692. 
UCHIDA,  K.,  S.  IMAI,  S.  Mito,  S.  Fujita,  M.  Ueno,  Y.  Shojima, 
T.  Senta,  M.  Tahuku,  and  Y.  Dotsu. 
1958.    Studies  on  the  eggs,  larvae  and  juvenile  of  Japanese 
fishes.    (In  Jpn.)    Kyushu  Univ.,  Fukuoka,  Japan,  89  p. 
YusA,  T. 

1960.    Embryonic  development  of  the  saury  Cololabis  saira 
(Brevoort).    Bull.  Tohoku  Reg.  Fish.  Res.  Lab.  17:1-14. 


498 


OTOLITH  ULTRASTRUCTURE  OF  SMOOTH  OREO,  PSEUDOCYTTUS 
MACULATUS,  AND  BLACK  OREO,  ALLOCYTTUS  SR,  SPECIES 

N.  M.  Davies,'  R.  W.  Gauldie/2  S.  A.  Crane,'  and 
R.  K.  Thompson^ 


ABSTRACT 

The  ultrastructure  of  sagittal  otoliths  from  14  Pseudocyttus  maculatiis  and  25  Allocyttus  sp.  individuals 
were  examined  to  determine  their  suitability  for  estimating  age  in  these  two  species.  Scanning  electron 
microscopy  revealed  high  levels  of  complexity  in  both  external  surface  topography  and  internal  struc- 
tural organization  in  the  sagittae  of  both  species.  Many  different  crystal  forms  were  found,  including 
calcite-like  prisms.  A  close  similarity  in  otolith  structure  exists  between  the  two  species.  Deposition  of 
check  rings  analagous  to  annual  and  daily  growth  increments  was  found  to  be  irregular  with  the  underlying 
complexity  of  crystalline  growth  obscuring  the  finer  (analogous  to  daily)  growth  rings,  making  their 
periodicity  difficult  to  validate  and  implying  that  with  present  techniques  the  sagittal  otoliths  of  the  oreo 
species  Pseudocyttus  maculatus  and  Allocyttus  sp.  are  not  suitable  for  age  estimation. 


The  smooth  oreo,  Pseudocyttus  maculatus,  and 
the  black  oreo,  Allocyttus  sp.,  are  two  related 
species  of  the  family  Oreosomatidae.  They  are  both 
important  commercial  species  in  New  Zealand.  The 
black  oreo  is  the  most  commonly  caught  oreo  in 
New  Zealand  waters,  while  the  smooth  oreo  is  the 
second-most  commonly  caught  oreo.  Little  is  known 
about  the  biology  of  these  fish.  The  black  oreo  is 
endemic  to  New  Zealand  while  the  smooth  oreo 
occurs  in  New  Zealand,  South  Australian,  South 
African,  and  South  American  waters  (Last  et  al. 
1983).  In  the  waters  south  of  New  Zealand,  the 
distributions  of  the  two  species  overlap  (McMillan 
1985).  The  habitat  range  of  the  smooth  oreo  is  be- 
tween 650  and  1,200  m,  and  that  of  the  black  oreo  is 
between  600  and  1,200  m  (McMillan  1985). 

A  preliminary  examination  of  the  ultrastructure 
of  otoliths  [sagittae]  of  these  fish  was  undertaken 
as  part  of  a  study  to  establish  an  ultrastructural 
basis  for  a  suitable  ageing  technique.  This  study 
describes  the  external  and  internal  structure  and 
organization  of  the  otoliths  in  terms  of  the  suitabil- 
ity of  the  various  check  rings  of  the  sagittae  for  age 
estimation. 

MATERIALS  AND  METHODS 

Three  otoliths  (the  sagitta,  astericus,  and  lapillus) 


'Fisheries  Research  Centre,  Ministry  of  Agriculture  and  Fish- 
eries, Greta  Point,  Evans  Bay  Parade,  P.O.  Box  297,  Wellington, 
New  Zealand. 

^To  whom  reprint  requests  should  be  sent. 

'Electron  Microscope  Unit,  Kirk  Building,  Victoria  University 
of  Wellington,  Private  Bag,  Wellington,  New  Zealand. 


are  contained  in  the  endolymphatic  sac  (Fig.  la).  The 
sagitta  is  the  largest  otolith  and  is  located  in  the 
most  ventral  position  in  the  sac.  The  arrangement 
of  the  three  otoliths  in  the  endolymphatic  sac  ranges 
between  the  primitive  where  a  large  astericus  and 
sagitta  with  no  lapillus  is  present  (Gauldie  et  al. 
1986)  and  the  typical  teleost  arrangement  where  a 
small  astericus  is  located  close  to  the  sagitta,  and 
an  even  smaller  lapillus  is  displaced  into  the  atrium 
of  the  semi-circular  canal.  The  oreosomatids  are 
primitive  fishes  taxonomically,  lying  in  the  order 
Beryciformes  (Nelson  1976),  and  the  arrangement 
of  otoliths  reflects  the  taxonomic  position  of  the  fish. 
The  orientation  of  otoliths  described  here  refers  to 
the  orientation  in  situ.  The  lateral  face  is  the  out- 
ward (antisulcal)  surface;  the  medial  face  is  the  in- 
ward (sulcal)  surface.  Investigation  was  restricted 
to  the  sagitta  primarily  because  of  the  difficulties 
in  establishing  homologies  for  daily  and  annual  type 
check  rings  in  the  astericus  and  lapillus. 

Sagittae  were  dissected  from  14  smooth  and  25 
black  oreo  individuals  caught  in  bottom  trawls  off 
the  east  coast  of  New  Zealand.  These  individuals 
ranged  in  length  from  24.5  to  40.1  cm  (black  oreo) 
and  35.1  to  51.2  cm  (smooth  oreo). 

Whole  otoliths  were  photographed  at  6  x  to  20  x 
using  a  WILD'*  photomicroscope.  The  sagittae  were 
embedded  on  glass  slides  in  epoxy  resin  with  the 
antisulcus  surface  uppermost  and  finely  ground  on 
a  Struers  Planapol-2  petrographic  grinder.  The 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


Manuscript  accepted  April  1988. 

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DAVIES  ET  AL.:  OTOLITH  ULTRASTRUCTURE  OF  SMOOTH  AND  BLACK  OREO 


Figure  la.  —Relative  positions  of  the  otoliths  in  the  right  endolymphatic  sac  (ENS)  of  the  smooth  oreo  in  lateral  view:  astericus  (AS), 
lapillus  (LA),  and  sagitta  (SA).  Anterior  (A),  dorsal  (D),  posterior  (P),  and  ventral  (V)  surfaces  are  indicated.  Magnifi- 
cation =  6.3  X. 

b.  —Dorsal  (regular)  and  ventral  (irregular)  lobes  of  the  otolith  in  lateral  view,  nucleus  (N),  sulcus  (S),  and  rest  as  in  Figure 

la.    Magnification  =  12.5  x. 

c.  — SEM  of  the  lateral  surface  topography  of  the  otolith.    Scale  bar  =  1  mm. 


ground  surface  was  polished  with  2000  grit  wet  and 
dry  paper  to  yield  a  smooth  surface  for  etching.  The 
most  successful  results  were  obtained  by  etching 
with  a  0.1  M  solution  of  disodium  salt  of  EDTA.  The 
otoliths  were  immersed  in  this  solution  for  15  to  20 
minutes.  Other  suitable  etching  solutions  employed 
were  1)  a  1%  solution  of  HCl  for  20  to  30  seconds 
and  2)  a  2%  solution  of  Histolab  RDO  (a  commer- 
cial etching  solution  comprising  a  mixture  of  HCl 
and  EDTA)  for  5  minutes.  A  cellulose  acetate  peel 
was  made  of  the  etched  surface  to  obtain  an  exact 
replica  of  the  surface  features.  The  peel  was  placed 
on  a  microscope  slide  under  a  cover  slip,  cleared  with 
ethanol  or  distilled  water,  viewed,  and  photographed 
using  a  Zeiss  photomicroscope.  Direct  observations 


of  thin  sections  (about  20  ^m)  of  otoliths  did  not 
show  any  more  information  than  that  observed  in 
acetate  peels.  Acetate  peels  had  the  advantage  of 
allowing  successive  grinds  to  be  examined  thereby 
avoiding  the  problem  of  losing  information  that 
might  be  located  only  in  very  narrow  layers  within 
the  otolith. 

Scanning  electron  microscope  (SEM)  photographs 
were  taken  of  otoliths  using  a  Phillips  505  SEM. 
Whole  otoliths  were  glued  on  to  SEM  pin  type 
mounts,  cemented  in  position  with  contact  cement, 
and  sputter-coated  with  gold  at  approximately  5 
Torr.  The  external  surface  topography  of  both  the 
medial  and  lateral  faces  of  the  otoliths  was  photo- 
graphed. Selected  pieces  of  otoliths  broken  by  thumb 


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FISHERY  BULLETIN:  VOL.  86,  NO.  3 


pressure  were  examined  and  photographed  to  ob- 
tain internal  structural  information.  Finely  ground 
cross-section  surfaces  were  also  polished  and  etched 
for  examination  with  the  SEM. 

RESULTS 

Smooth  Oreo  Otolith 

The  sagitta  is  clearly  divided  into  two  distinct 
structures:  a  small,  smooth,  regular  dorsal  lobe  and 
a  larger,  irregular  ventral  lobe  (Fig.  lb).  The  irreg- 
ular lobe  has  branched  crystal  formations  and  clefts 
at  the  ventral  edge.  The  lateral  face  topography  is 
complex  (Fig.  Ic).  The  central  bumpy  area  contains 
the  nucleus  between  the  two  lobes.  Radiating  out- 
wards from  the  nucleus  are  concentric  ridges  on  the 
antisulcul  surface. 

The  crystal  morphology  of  the  lateral  surface  of 
the  sagitta  is  variable.  Over  much  of  the  central 
parts  of  the  sagitta,  large  and  variably  oriented 


crystals  give  a  coarse  appearance  to  the  surface  of 
the  otolith  (Fig.  2a)  which  presumably  obstructs,  by 
diffraction,  potentially  clear  zones  in  the  whole 
otolith  viewed  by  transmitted  light.  At  the  edge  of 
the  regular  lobe,  the  crystal  type  alters  to  form  slabs 
of  crystal  layers  (Fig.  2b).  The  analogous  area  on 
the  irregular  lobe  yields  variable  crystalline  struc- 
tures with  complex  alignments  (Fig.  2c).  Deep 
troughs  and  branching  furrows  break  up  the  crystal 
forms  at  the  edge  of  the  irregular  lobe. 

The  medial  surface  has  three  distinct  parts:  the 
central  sulcal  area,  the  edge  of  the  irregular  lobe, 
and  the  edge  of  the  regular  lobe  (Fig.  3a).  Raised 
ridges  and  two  prominent  knobs  are  found  in  the 
central  sulcal  area.  Crystals  compacted  into  a  petal- 
like growth  pattern  are  found  in  this  part  of  the 
otolith  (Fig.  3b).  Contrasting  to  this,  more  porous 
crystal  structures  occur  in  the  edge  areas  of  the 
regular  lobe  (Fig.  3c).  Further  variety  is  found  on 
the  irregular  lobe,  where  a  very  porous,  honeycomb- 
like crystal  arrangement  exists  (Fig.  3d).  At  the 


Figure  2a.  —Coarse  crystal  structure  of  the  central  lateral  surface  of  the  smooth  oreo  otolith.    Scale  bar  =  0.1  mm. 

b.  —Split-screen  SEM  of  the  transition  of  the  crystal-type  at  the  edge  of  the  lateral  surface  of  the  regular 

lobe.    Magnification  =  163  x  and  652  x. 

c.  —Haphazard  crystal  alignments  at  the  edge  of  the  lateral  face  of  the  irregular  lobe.    Scale  bar  =  0.1  mm. 


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50iim30.1kU     1.63E2    6648/99    SS07A 


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FISHERY  BULLETIN:  VOL.  86,  NO.  3 


SejinSe.lkU    1.63E2    6719/99    88676 


Figure  3a.  —Medial  view  of  the  smooth  oreo  otolith  showing  the  irregular  lobe  (I),  regular  lobe  (R),  and  sulcus 
(S).    Scale  bar  =  1  mm. 

b. —Split-screen  SEM  of  petallike  crystal  growth  in  the  sulcus  on  the  medial  surface.    Magnification 
=  163  X  and  1141  x. 


504 


DA  VIES  ET  AL.:  OTOLITH  ULTRASTRUCTURE  OF  SMOOTH  AND  BLACK  OREO 

c 


*  -'-^ 


m- 


\4 


^ 


r*^.  >\.  ^  *^^  -^r     ^9^  K^"^  yur 


*H 


\, 


,?■  -■ 


18jiii3e.lkU    1.31E3    6717/99    88676 


d  a» 


10jiii30.1kU    1.62E3    6749/99    SS014B 


Figure  3c.  —Porous  crystals  on  the  medial  surface  of  the  regular  lobe.    Scale  bar  =  10  tixn. 

d.— Honeycomblike  crystal  structure  on  the  medial  surface  of  the  irregular  lobe.    Scale  bar  =  10  fim. 


505 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Figure  3e.— A  laminar  pattern  of  crystalline  growth  on  the  medial  face  of  the  irregular  lobe.    Scale  bar  =  10  fxm. 


edge  of  this  lobe,  a  laminar  crystalline  growth  pat- 
tern develops,  adding  to  the  overall  variation  of 
crystal  structures  on  the  medial  surface  (Fig.  3e). 
Other  studies  of  otolith  ultrastructure  present  the 
otolith  as  homogeneous  in  crystal  form,  composed 
almost  entirely  of  monoclinal  aragonite  crystals 
(Degens  et  al.  1969).  The  complex  crystallinity  of 
the  oreo  otoliths  resembles  that  of  the  mollusc  shell, 
v^hich,  although  aragonitic,  often  has  a  pattern  of 
complex  variation  in  crystal  habit  (Carriker  et  al. 
1980). 

Within  the  broken  otolith,  the  nucleus  lies  at  the 
center  of  a  spherical  primordium  (Fig.  4a).  Crystals 
grow  outwards  from  the  primordium  and  epitaxial 
(Degens  1976)  growth  patterns  exist  (Fig.  4b).  Com- 
plex leaf-shaped  crystals  occur  in  areas  directly 
beneath  the  lateral  surface  of  the  fractured  irregular 
lobe  (Fig.  4c).  Beneath  the  medial  surface,  a  remark- 
able series  of  hexogonal  crystals  of  calcite  occur  as 
large  rectangular  blocks  embedded  within  the 
otolith  (Fig.  4d).  Calcitic  prisms  have  been  described 
in  molluscs  as  resulting  from  the  regeneration  of 
broken  shells  (Watabe  1983).  It  is  difficult  to  imagine 
otoliths  being  broken  and  regenerated  in  situ. 

Major  and  minor  check  rings  similar  to  those 


described  (Gaul die  1987)  for  otoliths  from  the  orange 
roughy,  a  deepwater  species  from  the  same  habitat, 
occur  (Fig.  4e).  When  polished  and  etched,  the  check 
rings  become  clearly  visible  with  deep  etched  checks 
occurring  between  the  less  deeply  etched  checks 
analagous  to  microscopic  growth  increments  in 
other  species  (Fig.  4f).  At  a  higher  magnification  the 
finer  increments  become  obscured  by  the  coarseness 
of  the  underlying  crystal  type  (Fig.  4g).  Those  fine 
increments  that  are  visible  occur  irregularly  and 
have  varying  widths. 

Large-scale  rings  analogous  to  opaque/hyaline  an- 
nual zones  were  observed  in  the  regular  lobe.  The 
mean  width  of  these  zones,  measured  using 
transmitted  light  (Fig.  lb),  was  0.34  mm  (±0.06). 
The  concentric  ridges  observed  by  SEM  on  the 
lateral  surface  of  the  regular  lobe  (Fig.  Ic)  have  a 
mean  width  of  0.27  mm  (±0.06).  These  two  struc- 
tures, opaque/hyaline  zones  and  surface  ridges,  have 
about  the  same  width  with  no  statistically  signifi- 
cant differences  between  them. 

Examination  of  otolith  cross  sections  reveals 
widely  spaced,  large  rings  with  many  finer  rings  in 
between  (Fig.  4h).  When  examined  in  greater  detail, 
the  demarcation  between  the  large  and  finer  rings 


506 


DA  VIES  ET  AL.:  OTOLITH  ULTRASTRUCTURE  OF  SMOOTH  AND  BLACK  OREO 

a 


Figure  4a.  —Broken  smooth  oreo  otolith  reveals  the  spherical  primordium  (PM)  and  nucleus  (N)  and  the  surround- 
ing radial  crystal  growth.    Scale  bar  =  0.1  mm. 
b.— Epitaxial  crystal  development  in  the  broken  otolith.    Scale  bar  =  0.1  mm. 


507 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


10iim30.lkU     1.49E3    6828/99    SSOl 


Figure  4c.— Leaf-shaped  crystals  beneath  the  lateral  surface  of  the  broken  otolith.    Scale  bar  =  10  ^m. 

d.— Calcitic  prism  crystals  beneath  the  medial  surface  of  the  broken  irregular  lobe.    Scale  bar  =  lOji. 


508 


DAVIES  ET  AL.:  OTOLITH  ULTRASTRUCTURE  OF  SMOOTH  AND  BLACK  OREO 


e  - 


Figure  4e.— Discontinuous  uniform  crystal  growth  forming  rings  in  the  broken  otolith.    Scale  bar  =  0.1  mm. 
f.  —Fine  and  deep  (arrowed)  increments  on  the  polished  and  etched  otolith  surface.    Scale  bar  =  0.1  mm. 


509 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


g  ' 


i    .  V     pit 


10iiin30.1kU    1.31E3    6725/99    SSeSB 


Figure  4g.— Fine  increments  obscured  by  coarse  crystallinity  on  the  polished  and  etched  otolith  surface.    Scale  bar  =  10  jim. 

h.— Fine  increments  (arrowed)  found  between  widely  spaced  large  rings  in  the  otolith  cross-section.    Magnification  =  72x . 

510 


DAVIES  ET  AL.:  OTOLITH  ULTRASTRUCTURE  OF  SMOOTH  AND  BLACK  OREO 

j    r   ,  -    '      •    .  • .  v- 

.4, 


o:^^"^^i*i  ^.^ 


X       \,*      •^-.^r  ^  ^:j-j 


5^- 


,-*       « 


^ 


■^- 


Figure  4i. —Variation  of  increment  widths  (arrowed)  in  the  otolith  cross-section.    Magnification  =  160  x. 

j.— Cellulose-acetate  peel  showing  the  intermittency  of  fine  increment  sequences  (arrowed),  often  obscured  by  a  coarse  underly- 
ing crystallinity.    Magnification  =  1 60  x . 

511 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


becomes  difficult  to  determine  because  of  the  inter- 
mittent nature  of  the  growth  increments  and  the 
variety  of  width-sizes  (Fig.  4i).  In  large  areas  of  the 
otolith,  increments  appear  to  be  absent  or  indeter- 
minate, with  a  coarse  underlying  crystal  structure 
(Fig.  4j)  making  accurate  determination  of  incre- 
ment sequences  difficult.  However,  the  fine  incre- 
ments of  the  oreo  otolith  are  3  to  5  ^m  wide,  which 
is  within  the  range  of  daily  growth  increments 
described  for  other  species  (Jones  1986;  Gauldie  in 
press). 

Black  Oreo  Otolith 

The  black  oreo  otolith  is  almost  identical  to  that 
found  in  the  smooth  oreo  in  overall  shape,  propor- 
tion, structure,  topography,  surface  and  internal 
crystallinity,  and  increment  pattern.  Some  minor 
differences  do,  however,  exist. 


In  the  medial  sulcus,  the  prominent  knobs  found 
in  the  smooth  oreo  otolith  are  smaller  than  in  the 
black  oreo.  On  the  surface  of  the  sulcus,  large  leaf- 
like crystals  having  various  orientations  occur  (Fig. 
5a).  Also  present  in  the  sulcus  are  porous,  sponge- 
like crystals  adjacent  to  membranous  structures 
(Fig.  5b).  Smooth  patches,  where  crystals  appear  ab- 
sent, occur  on  the  lateral  surface  of  the  otherwise 
coarsely  crystalline  irregular  lobe  (Fig.  5c).  At 
higher  magnification  the  smooth  patches  are  seen 
to  be  smaller  growth  forms  of  the  larger  adjacent 
crystals. 

DISCUSSION 

Despite  some  minor  differences  in  topography  and 
crystallinity,  the  sagittae  of  both  species  are  essen- 
tially identical.  The  otoliths  are  structurally  complex 
v^ath  a  great  variety  of  crystalline  forms.  The  coarse 


Figure  5a.  —Split-screen  SEM  of  large  leaflike  crystals  in  the  black  oreo  otolith  sulcus.    Magnification  =  356  x  and  979  x . 
b.— Porous,  sponge-like  crystals  in  the  otolith  sulcus.    Scale  bar  =  10  ^^m. 
c.  —Smooth  patches  on  the  central  lateral  surface  of  the  otolith.    Scale  bar  =  0.1  mm. 


512 


DA  VIES  ET  AL.:  OTOLITH  ULTRASTRUCTURE  OF  SMOOTH  AND  BLACK  OREO 


513 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


crystals  on  the  central  lateral  surface  are  com- 
parable with  those  in  the  oyster  shell  described  as 
individual  laths  (Carriker  et  al.  1980).  The  leaflike 
crystals  in  the  sulcus  of  the  black  oreo  otolith  are 
similar  to  the  chalky  crystal  forms  in  the  oyster  shell 
(Carriker  et  al.  1980).  Such  a  variety  of  crystalline 
forms  is  uncommon  in  teleost  otoliths.  The  low  legi- 
bility of  structures  of  various  kinds  in  the  otolith  may 
reflect  this  complex  crystallinity.  However,  the  com- 
plex crystallinity  of  the  mollusc  shell  is  thought  to 
reflect  changes  in  both  the  external  and  internal 
milieu  of  the  organism  (Wilbur  and  Saleuddin  1983). 
Thus  the  difficulties  of  reading  the  oreo  otolith  in 
the  conventional  sense  may  be  offset  by  the  life 
history  record  (albeit  difficult  to  translate)  provided 
by  its  complex  crystallinity. 

The  broken  sections  of  the  otolith  reveal  the  in- 
ternal structure  organization,  and  development  of 
crystals.  Epitaxial  crystal  grov^h  in  the  oreo  otolith 
results  in  columnar,  monoclinal  crystals  of  ara- 
gonite.  However,  the  presence  of  calcite-like  prisms 
has  not  been  described  for  other  otoliths.  Calcite 
occurs  on  the  antisulcal  surface  of  some  otoliths 
apparently  by  simple  crystallization  out  of  the  fluid 
of  the  endolymphatic  sac  (Morales-Nin  1985),  but 
calcite  has  never  been  described  from  within  an 
aragonite  otolith  (Carlstrom  1963).  In  molluscs, 
calcite  replacement  of  aragonite  results  in  an  orderly 
alignment  of  calcite  crystals  following  the  alignment 
of  the  original  aragonite  crystals.  The  disorderly 
appearance  of  the  calcite-like  hexagons  in  the 
smooth  oreo  otolith  may  be  due  to  a  diagenetic 
transformation  of  aragonite  to  calcite  with  depth. 
The  compensation  depth  for  the  aragonite/calcite 
transformation  is  about  3,000  m  (Fyfe  and  Bischoff 
1965)  well  beyond  the  known  range  of  the  smooth 
oreo  which  has  a  maximum  recorded  depth  of  1,300 
m.  However,  there  may  be  enough  variation  in 
either  the  kind  or  amount  of  stabilizing  protein  in 
the  smooth  oreo  otolith  to  allow  crystal  changes  to 
occur  at  shallower  depths  than  3,000  m. 

The  complex,  and  often  coarse,  crystal  structure 
of  the  oreo  otolith  obscures  the  sequences  of  incre- 
ments when  they  do  occur.  As  a  result,  large  rings 
observed  at  low  magnification  become  indistinct  at 
higher  magnification  when  many  finer  increments 
appear.  The  large  rings  could  be  assumed  to  be 
annual  check  rings,  but  the  difficulties  in  differen- 
tiating between  the  fine  and  large  rings  create  am- 
bivalence in  one's  interpretation.  The  finer  micro- 
scopic growth  increments,  analagous  to  daily  growth 
rings,  have  no  uniform  width  and  occur  intermit- 
tently making  accurate  counting  impossible. 

The  suitability  of  an  otolith  for  determining  the 


age  of  a  fish  depends  on  the  pattern  of  both  annual 
and  daily  check  rings  inferred  from  the  structure 
of  the  otolith.  The  hyaline/opaque  zones  observed 
in  the  regular  lobe  (using  transmitted  light)  had  a 
similar  mean  width  to  the  concentric  ridges  found 
by  SEM  on  the  lateral  surface.  The  ^statistic  we 
obtained  accepts  the  null  hypothesis  that  no  sig- 
nificant difference  exists  between  the  two  means. 
Mel'nikov  (1981)  regarded  these  opaque/hyaline 
zones  as  annual  check  rings  in  the  otolith  of  Allo- 
cyttus  verrucosus.  However,  because  no  evidence  ex- 
ists for  a  relationship  between  the  surface  ridges  and 
fish  age,  it  is  possible  that  Mel'nikov's  (1981)  ages 
are  incorrect.  Furthermore,  the  width  of  the  opaque/ 
hyaline  zones  (0.34  mm)  would  indicate  daily  growth 
increments  less  than  1  \xm  wide.  There  are  no 
reports  in  the  literature  of  validated  daily  growth 
rings  of  such  small  size.  In  addition,  the  microscopic 
growth  increments  which  we  have  observed  in  the 
oreo  otolith  are  3  to  5  ^m  wide,  which  is  a  size  range 
commonly  observed  in  other  species. 

With  the  techniques  available  we  have  been  unable 
to  use  either  annual-  or  daily-type  structures  to 
develop  a  technique  for  age  estimation  for  Pseudo- 
cyttus  maculatus  and  Allocyttu^  sp.  The  reasons  for 
these  difficulties  may  lie  in  the  crystal  morphology 
of  the  otoliths  which  are  more  complex  than  any  so 
far  described  in  the  literature. 

ACKNOWLEDGMENTS 

All  otoliths  were  supplied  by  Peter  McMillan  (Fish- 
eries Research  Centre).  All  35  mm  photographs 
were  processed  by  Alan  Blacklock  (Fisheries  Re- 
search Centre).  SEM  photographs  were  taken  at  the 
SEM  Unit,  Zoology  Department,  Victoria  Univer- 
sity of  Wellington. 

LITERATURE  CITED 

Carlstrom,  D. 

1963.    A  crystallographic  study  of  vertebrate  otoliths.    Biol. 
Bull.  (Woods  Hole)  125:441-463. 
Carriker,  M.  R.,  R.  E.  Palmer,  and  R.  S.  Prezant. 

1980.    Functional  ultra-morphology  of  the  dissoconch  values 
of  the  oyster  Crassostrea  virginica.    Proc.  Natl.  Shellfish. 
Assoc.  70:139-183. 
Degens,  E.  T. 

1976.    Molecular  mechanisms  of  carbonate,  phosphate  and 
silica  deposition  in  the  living  cell.    Top.  Curr.  Chem.  64: 
1-112. 
Degens,  E.  T.,  W.  G.  Deuser,  and  R.  L.  Haedrich. 

1969.    Molecular  structure  and  composition  of  fish  otoliths. 
Mar.  Biol.  2:105-113. 
Fyfe,  W.  S.,  and  J.  L.  Bischoff. 

1965.    The  caJcite-aragonite  problem.    In  L.  C.  Pray  and  R.  C. 
Murray  (editors),  Dolomitization  and  limestone  diagenesis, 


514 


DA  VIES  ET  AL.:  OTOLITH  ULTRASTRUCTURE  OF  SMOOTH  AND  BLACK  OREO 


p.  3-13.    Symp.  Soc.  Econ.  Minist.  Spec.  Publ.  13. 
Gauldie,  R.  W. 

1987.  The  fine  structure  of  check  rings  in  the  otolith  of  the 
New  Zealand  orange  roughy.  NZ  J.  Mar.  Freshwater  Res. 
21:267-274. 
In  press.  A  study  of  otolith  daily  growth  rings  in  the  orange 
roughy  {Hoplostethus  atlanticus)  aimed  at  resolving  prob- 
lems in  age,  growth,  recruitment  and  otolith  architecture. 
NZ  Fish.  Res.  Bull. 
Gauldie,  R.  W.,  D.  Dunlop,  and  J.  Tse. 

1986.    The  remarkable  lungfish  otolith.    NZ  J.  Mar.  Fresh- 
water Res.  20:81-92. 
Jones,  C. 

1986.    Determining  age  of  larval  fish  with  the  otolith  incre- 
ment technique.    Fish.  Bull.,  U.S.  84:91-103. 
Last,  P.  R.,  E.  0.  G.  Scott,  and  F.  H.  Talbot. 

1983.    Fishes  of  Tasmania.  Hobart,  Tasmanian  Fisheries 
Development  Authority. 
Mel'nikov,  Y.  S. 

1981.    Size-age  composition  and  growth  pattern  oiAUocyttus 
verrucosus  (Oreosomatidae).    Ichthyol.  (Engl,  transl.  Vopr. 


Ikhtiol.)  21:178-184. 
Morales-Nin,  B. 

1985.    Caracteristicas  de  los  otolitos  cristalinos  de  Genypterus 
capensis,  (Smith,  1847)  (Pisces:  Ophidiidae).    Invest.  Pesq. 
49:379-386. 
McMillan,  P.  J. 

1985.  Black  and  smooth  oreo  dories,  /n  J.  A.  Colman,  J.  L. 
McKoy,  and  G.  G.  Baird  (editors),  Background  papers  for 
the  1985  total  allowable  catch  recommendations.  (Report 
held  in  the  Fisheries  Research  Centre  Library,  P.O.  Box  297, 
Wellington,  New  Zealand.) 
Nelson,  J.  S. 

1976.    Fishes  of  the  world.    John  Wiley  and  Sons,  N.Y.,  416  p. 
Watabe,  N. 

1983.    Shell  repair.    In  A.  S.  M.  Saleuddin  and  K.  M.  Wilbur 
(editors).  The  mollusca,  No/4,  p  289-316.  Acad.  Press,  N.Y. 
Wilbur,  K.  M.,  and  A.  S.  M.  Saleuddin. 

1983.  Shell  formation.  In  A.  S.  M.  Saleuddin  and  K.  M. 
Wilbur  (editors),  The  mollusca,  No/4,  p  236-288.  Acad. 
Press,  N.Y. 


515 


RELATIONSHIP  BETWEEN  SEDIMENT  CHARACTER  AND 
SEX  SEGREGATION  IN  ENGLISH  SOLE,  PAROPHRYS  VETULUS' 

D.  Scott  Becker^ 

ABSTRACT 

English  sole,  Parophrys  vetulus,  were  collected  by  otter  trawl  in  the  nearshore  zone  of  Puget  Sound, 
Washington,  during  two  surveys  conducted  in  1981-82  and  1984.  Stations  in  both  surveys  were  distributed 
across  a  broad  range  of  sedimentary  environments.  Sex  segregation  by  English  sole  was  strongly 
associated  with  the  grain-size  characteristics  of  bottom  sediments.  This  association  was  persistent  across 
a  variety  of  sampling  conditions,  including  different  years,  seasons,  embayments,  and  depths.  Fish  age 
did  not  appear  to  influence  the  observed  association.  Results  of  this  study  provide  the  first  documenta- 
tion of  the  influence  of  sediment  character  on  sex  segregation  by  a  pleuronectid,  and  suggest  that  this 
relationship  should  be  considered  in  future  studies  of  English  sole  and,  perhaps,  other  pleuronectids  as  well. 


Sex  segregation  by  fishes  of  the  family  Pleuronec- 
tidae  (i.e.,  righteye  flounders)  has  been  documented 
for  numerous  species  from  the  United  States  (Alver- 
son  and  Chatwin  1957;  Fadeev  1970;  Alton  1972), 
Europe  (Rae  1965),  and  Asia  (Moiseev  1953; 
Kovtsova  1982).  These  patterns  have  been  related 
to  such  factors  as  geographic  location,  depth, 
season,  and  age  of  fish.  However,  because  most  of 
these  observations  have  been  made  while  fishes 
were  being  collected  for  other  purposes,  the  under- 
lying reasons  for  the  observed  patterns  are  poorly 
understood. 

Several  studies  have  documented  sex  segregation 
in  English  sole,  Parophrys  vetulus,  a  pleuronectid 
found  in  nearshore  areas  along  the  west  coasts  of 
the  United  States  and  Canada  (Hart  1973).  In  de- 
scribing the  catch  of  the  English  sole  fishery  in 
Hecate  Strait,  British  Columbia,  Ketchen  (1956) 
noted  that  considerable  sex  segregation  takes  place, 
particularly  during  the  summer  months.  In  a  study 
of  the  population  characteristics  of  this  species  in 
Puget  Sound,  Holland  (1969)  found  a  difference  of 
18%  between  the  percentages  of  males  in  the  pop- 
ulations from  two  locations.  Because  both  of  these 
accounts  were  largely  anecdotal,  no  evaluations  of 
the  observed  patterns  were  made. 

One  factor  that  has  yet  to  be  evaluated  with 
respect  to  sex  segregation  by  pleuronectids  is  the 
character  of  bottom  sediments.  Because  pleuronec- 
tids live  in  close  association  with  the  sea  floor,  it 


'Contribution  No.  759,  School  of  Fisheries,  University  of  Wash- 
ington, Seattle,  WA  98195. 

^School  of  Fisheries,  University  of  Washington,  Seattle,  WA 
98195;  present  address:  PTI  Environmental  Services,  3625  132nd 
Ave.  S.E.,  Bellevue,  WA  98006. 


might  be  surmised  that  the  characteristics  of  that 
environment  exert  a  differential  influence  on  the 
distributions  of  the  two  sexes.  Additional  support 
for  this  hypothesis  comes  from  the  fact  that  the 
influence  of  sediment  character  on  the  overall 
distribution  (i.e.,  both  sexes  pooled)  of  several 
pleuronectids  has  been  well  documented  (Ketchen 
1956;  Alverson  et  al.  1964;  Feder  et  al.  1974;  Pearcy 
1978;  Scott  1982;  Becker  1984). 

In  this  paper,  I  evaluate  patterns  of  sex  segrega- 
tion by  English  sole  in  relation  to  the  character  of 
bottom  sediments  in  nearshore  areas  of  Puget 
Sound,  WA.  This  study  provides  the  first  determina- 
tion of  how  sediment  character  influences  sex  segre- 
gation in  a  pleuronectid.  In  relating  sediment 
character  to  sex  segregation  in  English  sole,  I  also 
evaluate  the  potential  influences  of  depth,  season, 
and  fish  age  on  the  observed  relationships. 

METHODS 

English  sole  were  sampled  during  two  independ- 
ent surveys  conducted  in  several  embayments  of 
Puget  Sound  in  1981-82  and  1984.  The  relationship 
between  sex  segregation  and  sediment  character 
was  evaluated  separately  for  each  survey.  Although 
the  two  surveys  differed  with  respect  to  such  vari- 
ables as  station  locations,  sampling  times,  and  sam- 
ple sizes,  the  basic  collection  and  analytical  methods 
used  in  both  surveys  were  similar. 

In  both  surveys,  the  sex  ratio  of  the  English  sole 
captured  at  each  station  was  represented  by  the  pro- 
portion of  the  sample  comprised  of  males  (i.e.,  male 
proportion).  Sediment  character  at  each  station  was 
represented  by  the  percentage  (by  weight)  of  the 


Manuscript  accepted  April  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


517 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


grain-size  distribution  comprised  of  fine-grained 
material  (i.e.,  <0.063  mm  in  size).  This  variable  was 
used  as  an  index  of  sediment  character  because 
many  physical,  chemical,  and  biological  character- 
istics of  sedimentary  environments  covary  with  the 
grain-size  distribution  (Buchanan  1984). 

During  1981-82,  English  sole  were  collected  from 
15  May  to  6  July  1981  at  12  transects  in  Commence- 
ment Bay,  Elliott  Bay,  and  Sinclair  Inlet  (Fig.  1). 
Fishes  also  were  collected  during  three  additional 
time  periods  (23-24  November  1981;  8-9  March 
1982;  30-31  August  1982)  to  evaluate  seasonal 
patterns  at  three  stations  in  Commencement  Bay 
(CB-1,  CB-4,  and  CB-5;  Fig.  1).  These  stations  were 
selected  to  represent  a  gradient  of  sediment  grain 
size.  Although  the  seasonal  sampling  occurred  over 
a  2-yr  period,  it  was  assumed  that  interannual  varia- 
tion was  not  sufficiently  large  to  obscure  major 
seasonal  patterns. 

During  the  May- July  sampling,  English  sole  were 
collected  at  each  transect  during  morning  (07:00- 
09:30),  midday  (10:00-13:30),  evening  (20:30-23:30), 
and  midnight  (00:30-04:00).  During  the  remaining 
sampling  periods,  fish  were  collected  only  during 
midday  and  evening.  For  each  transect,  results  ob- 
tained for  different  periods  of  the  diel  cycle  were 
pooled  before  male  proportions  were  calculated.  Sex 
determinations  and  evaluations  of  spawning  condi- 
tion were  made  for  all  English  sole  larger  than  160 
mm  total  length  (TL).  Age  was  not  determined. 

During  1984,  English  sole  were  collected  from  4 
to  9  June  1984  at  15  transects  in  Commencement 
Bay  and  at  2  transects  in  Carr  Inlet  (Fig.  1).  Sam- 
pling was  conducted  during  daylight  hours  (06:30- 
17:00)  at  all  transects.  Sex  determinations  and 
evaluations  of  spawning  condition  were  made  for  all 
individuals  larger  than  225  mm  TL.  Age  was  deter- 
mined by  otolith  analysis  for  all  fish. 

During  both  surveys,  English  sole  were  collected 
using  a  7.6  m  (headrope)  Marinovich  otter  trawl 
having  a  body  mesh  of  3.2  cm  (stretched)  and  a  cod 
end  liner  mesh  size  of  0.8  cm  (stretched).  Trawling 
was  conducted  along  isobaths  at  a  constant  vessel 
speed  of  approximately  2.5  knots. 

During  both  surveys,  bottom  sediments  were  sam- 
pled using  a  modified  van  Veen  bottom  grab  and  the 
grain-size  distribution  of  the  top  2  cm  of  sediment 
was  determined  using  standard  sieve  and  pipette 
techniques  (Folk  1968).  During  1981-82,  sediments 
were  collected  at  five  sampling  points  located  at 
approximately  equal  distances  along  each  transect. 
During  1984,  sediments  were  collected  at  a  variable 
number  of  stations  located  within  300  m  from  each 
transect. 


The  association  between  percent  fine-grained 
sediment  and  male  proportion  of  English  sole  was 
tested  using  Spearman's  rank  correlation  coefficient 
{Vg).  The  association  between  station  depth  and 
male  proportion  was  tested  in  the  same  manner. 
Differences  in  male  proportion  among  age-classes 
of  fish  and  among  the  seasonal  sampling  transects 
were  tested  using  the  G-test  (Sokal  and  Rohlf 
1981). 

RESULTS 

Station  depth,  percent  fine-grained  sediment, 
sample  size,  and  male  proportion  at  each  transect 
from  the  1981-82  and  1984  surveys  are  presented 
in  Tables  1  and  2,  respectively.  During  1981-82, 
4,430  English  sole  were  sampled  from  stations 
ranging  in  depth  from  8  to  36  m.  Percent  fine- 
grained sediment  ranged  from  5.8  to  92.1%  and 
male  proportion  ranged  from  0.20  to  0.91.  During 
1984,  1,007  English  sole  were  collected  from 
stations  ranging  in  depth  from  5  to  20  m.  Per- 
cent fine-grained  sediment  ranged  from  8.6  to 
87.5%  and  male  proportion  ranged  from  0.13  to 
0.98. 

The  correlation  between  percent  fine-grained  sedi- 
ment and  male  proportion  of  English  sole  was 
significant  (P  <  0.01;  r,  =  0.73)  for  the  May- July 
sampling  of  the  1981-82  survey  (Fig.  2).  This  cor- 
relation was  also  significant  (P  <  0.001;  r^  =  0.80) 
for  the  1984  survey  (Fig.  2).  Correlations  between 
depth  and  male  proportion  were  not  significant  {P 
>  0.05)  for  either  the  1981-82  (r,  =  -0.10)  or  1984 
(Vg  =   -0.04)  survey. 

For  the  stations  sampled  seasonally  in  1981-82 
(CB-1,  CB-4,  and  CB-5),  heterogeneity  of  male  pro- 
portion among  stations  was  significant  {P  <  0.05) 
during  all  four  sampling  periods  (Fig.  3).  In  all  cases, 
male  proportion  was  lowest  at  CB-5,  highest  at 
CB-4,  and  intermediate  in  magnitude  at  CB-1.  This 
gradient  of  increasing  male  proportion  was  consis- 
tent with  the  gradient  of  increasing  percent  fine- 
grained sediment  at  the  three  stations  (Table  1).  The 
mean  abundance  of  English  sole  at  the  three  sta- 
tions rose  from  a  minimum  level  in  March  to  a  peak 
in  May-July,  and  then  declined  through  August  to 
a  level  in  November  that  was  similar  to  that  in 
March  (Fig.  3). 

For  both  surveys  combined,  64  (1.2%)  English  sole 
were  found  to  be  in  spawning  condition.  Twenty- 
four  of  those  individuals  were  collected  during 
March,  to  represent  a  spawning  component  of  14.8% 
during  that  month.  The  remaining  42  individuals 
were  sampled  between  May  and  July  to  represent 


518 


BECKER:  SEDIMENT  AND  SEX  SEGREGATION  IN  ENGLISH  SOLE 


r^ 

^^  Elliott  Bay 

^^EB-1 

/^ 

'^^EB-2 

SEATTLE 

I- 

EB-4 


LEGEND 

CR-Carr  Inlet 
E  B  -  Elliott  Bay 
SN  -  Sinclair  Inlet 


10 

ii  NALmCAL  MLES 


n 


POINT  DEFIANCE 


LEGEND 

HY 

Hyielxjs  Waterway 

BL 

Blair  Waterway 

SI 

Silcum  Waterway 

Ml 

Milwaukee  Waterway 

SP 

St  Paul  Waterway 

MD 

Middle  Waterway 

CI 

City  Waterway 

SS 

Souttiwest  Shoreline 

CB 

Commencement  Bay 

KILOMETERS 


Figure  1.— Locations  of  transects  sampled  in  1981-82  (denoted  by  CB,  EB,  and  SN)  and  1984  (all  remaining 

transects). 


519 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  1. — Characteristics  of  transects  and  samples  of  English  sole  during  1981-82.' 


Mean  percent 
fine-grained 

SampI 

e  size^ 

Male  proportion 

Depth 

May- 

Novem- 

May- 

Novem- 

Station^ 

(m) 

sediment^ 

July 

August 

ber 

March 

July 

August         ber 

March 

CB-1 

10 

27.1 

655 

249 

65 

90 

0.83 

0.74          0.58 

0.57 

CB-2 

33 

47.0 

554 

0.78 

CB-3 

36 

44.2 

160 

0.79 

CB-4 

14 

71.6 

589 

146 

174 

38 

0.91 

0.82          0.77 

0,87 

CB-5 

13 

7.6 

181 

67 

68 

35 

0.55 

0.64          0.44 

0.20 

CB-6 

35 

11.2 

128 

0.66 

EB-1 

14 

56.0 

82 

0.68 

EB-2 

31 

76.2 

17 

0.76 

EB-3 

16 

5.8 

90 

0.53 

EB-4 

32 

8.8 

49 

0.49 

SN-1 

8 

92.1 

683 

0.84 

SN-2 

10 

13.7 

310 

0.30 

'Sampling  in  May-July  and  November  was  conducted  in  1981 ,  whereas  sampling  in  August  and  March  was  conducted  in  1982. 
^Locations  of  transects  are  presented  in  Figure  1 . 
'Each  value  Is  based  on  five  replicate  samples. 
<AII  English  sole  were  larger  than  160  mm  TL. 


Table  2.— Characteristics  of  transects  and  samples  of  English  sole 
during  1984. 


Mean  percent 

Male 

Depth 

fine-grained 

Sample 

propor- 

Station' 

(m) 

sediment^ 

size^ 

tion 

CR-1 

18 

14.5  (2) 

60 

0.28 

CR-2 

12 

8.6  (2) 

60 

0.13 

SS-1 

9 

18.2  (2) 

59 

0.29 

SS-2 

10 

22.9  (6) 

60 

0.48 

SS-3 

20 

8.7  (6) 

60 

0.35 

CI-1 

5 

68.8  (4) 

57 

0.75 

CI-2 

9 

58.2  (4) 

52 

0.73 

MD-1 

6 

40.4  (2) 

59 

0.42 

SP-1 

5 

48.9  (3) 

60 

0.77 

MI-1 

10 

87.5  (5) 

60 

0.87 

SI-1 

12 

73.8  (5) 

60 

0.98 

BL-1 

11 

55.2  (1) 

60 

0.77 

BL-2 

12 

74.3  (9) 

60 

0.88 

BL-3 

10 

55.4  (6) 

60 

0.88 

HY-1 

9 

68.1  (5) 

60 

0.45 

HY-2 

9 

79.8  (7) 

60 

0.80 

HY-3 

9 

61.1  (12) 

60 

0.73 

'Locations  of  transects  are  presented  in  Figure  1. 
^Number  of  stations  used  to  calculate  mean  percent  fine-grained  sediment 
at  each  transect  is  given  in  parentheses. 
'All  English  sole  were  larger  than  225  mm  TL. 


Z 

g 

I- 

o 

Q. 

o 

DC 
Q. 

LU 


Figure  2.— Comparison  of  percent  fine-grained  sediment  and  male 
proportion  of  English  sole  populations  using  Spearman's  rank 
correlation  coefficient  (rj.    *•  =  P  <  0.01,  ***  =  P  <  0.001. 


i.u  - 

• 

0.8  - 

• 

•• 

• 
• 

• 

• 

0.6  - 

•: 

0.4  - 

• 

n?  - 

MAY- JULY  1981 

rs=0.73** 

n 

1 

1                1 

20 


40 


60 


80 


100 


i.u  - 

• 

•             •         • 

0.8- 

• 

0.6- 

0.4- 

• 
• 

• 

• 

•• 

n?  - 

JUNE  1984 

• 

rs  =  0.80*** 

n 

1 

1 

1                1 

20     40 


60     80     100 


PERCENT   FINE-GRAINED 
SEDIMENT 


520 


BECKER:  SEDIMENT  AND  SEX  SEGREGATION  IN  ENGLISH  SOLE 

CB-5         illij   CB-1 


CB-4 


*** 


*** 


o 
o 

Q. 

o 
oc 
a. 

UJ 


B 


MARCH  MAY-JULY  AUGUST         NOVEMBER 

1982  1981  1982  1981 


SAMPLING  PERIOD 

Figure  3.— Comparisons  of  male  proportion  of  English  sole  populations  at  three  Commencement 
Bay  stations  during  four  sampling  periods  using  the  G-test.  Mean  abundance  of  English  sole  at 
all  three  stations  is  plotted  for  each  sampling  period.  The  values  of  percent  fine-grained  sedi- 
ment at  Stations  CB-5,  CB-1,  and  CB-4  were  7.6%,  27.1%,  and  71.6%,  respectively.  '  =  P  < 
0.05,  •••  =  P<  0.001. 


a  spawning  component  of  0.9%  during  that  period. 
No  fish  were  found  to  be  in  spawning  condition  dur- 
ing August  and  November. 

For  English  sole  aged  3-10  years  old  during  the 
1984  study,  male  proportion  for  each  age-class 


ranged  from  0.50  to  0.66  (Fig.  4).  However,  the 
heterogeneity  among  age-classes  was  not  significant 
(P  >  0.05).  Nineteen  fish  aged  2  or  >10  years  old 
were  not  included  in  this  analysis  because  sample 
sizes  by  age-class  were  too  small. 


OC 

o 

Q. 

o 

DC 
Q. 

LU 


0.8  -1 


0.6- 


0.4 


0.2- 


126      217      261       209       97        40         24         14 


Figure  4.— Comparison  of  male  proportion  among  age- 
classes  of  English  sole  collected  in  1984.  Sample  size 
is  presented  above  each  bar. 


T       1         \         \         \         1         I         r 

3456789  10 


FISH  AGE  (yr) 


521 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


DISCUSSION 

Results  of  this  study  demonstrate  that  sex  segre- 
gation by  English  sole  in  nearshore  areas  of  Puget 
Sound  is  strongly  associated  with  the  grain-size 
distribution  of  bottom  sediments.  In  addition  to  the 
results  of  statistical  analyses,  the  strength  of  this 
association  is  demonstrated  by  its  persistence  across 
a  variety  of  sampling  conditions.  For  example,  the 
association  was  found  in  two  independent  surveys 
conducted  2-3  years  apart.  Furthermore,  the  1981- 
82  survey  represented  an  analysis  of  large-scale 
patterns  across  three  embayments,  whereas  the 
1984  survey  focused  on  small-scale  patterns  within 
a  single  embayment.  The  association  between  sex 
segregation  and  sediment  grain  size  also  persisted 
across  seasons  and  across  a  range  of  depth. 

Although  a  significant  association  was  found  be- 
tween sediment  grain  size  and  male  proportion  of 
English  sole,  a  variety  of  factors  that  covary  with 
sediment  grain  size  may  have  been  partly  or  totally 
responsible  for  this  association  (Lagler  et  al.  1977; 
Moyle  and  Cech  1982).  Examples  of  physical/chem- 
ical variables  that  often  covary  with  grain  size  and 
may  influence  fish  distributions  include  depth,  cur- 
rent speed,  turbidity,  and  dissolved  oxygen.  Ex- 
amples of  biological  factors  include  the  composition 
of  prey  assemblages  and  the  distribution  of  pred- 
ators. Although  results  of  this  study  demonstrated 
that  depth  did  not  influence  the  observed  associa- 
tion between  sediment  grain  size  and  male  propor- 
tion, further  experimentation  is  required  to  identify 
the  factor  or  suite  of  factors  that  directly  influences 
sex  segregation  in  this  species. 

Despite  the  fact  that  depth  did  not  influence  the 
patterns  of  sex  segregation  identified  for  English 
sole,  the  range  of  depth  considered  in  this  study 
(5-36  m)  is  a  small  fraction  of  the  total  range 
occupied  by  this  species  (0-550  m;  Hart  1973).  It 
therefore  is  possible  that  depth-related  sex  segrega- 
tion in  this  species  may  be  observed  if  a  wider  range 
of  depths  were  examined.  For  example,  considerable 
sex  segregation  by  depth  was  found  for  Dover  sole, 
Microstomus  pacificus,  off  the  west  coast  of  the 
United  States  when  a  large  depth  range  (110-440 
m)  was  evaluated  (Hagerman  1952;  Alton  1972). 

Based  on  results  of  the  1984  survey,  no  relation- 
ship between  age  and  male  proportion  in  English 
sole  was  evident.  It  therefore  is  unlikely  that  age 
influenced  the  observed  relationship  between  male 
proportion  and  sediment  grain  size.  A  decline  in 
male  proportion  with  increasing  age  has  been  found 
for  several  pleuronectids  (Rae  1965;  Kovtsova  1982). 
Because  most  of  the  fish  examined  in  this  study  were 


relatively  young  (<8  years  old)  compared  with  the 
maximum  age  of  15-17  years  sometimes  reached  by 
individuals  of  this  species  (Ketchen  1956;  Holland 
1969;  Van  Cleve  and  El  Sayed  1969),  consideration 
of  older  fish  may  alter  the  patterns  observed  in  this 
study.  Although  sample  sizes  for  fish  aged  9-10 
years  were  relatively  small  in  this  study,  male  pro- 
portion in  those  age  groups  (0.50)  was  lower  than 
that  observed  in  all  younger  age  groups  (0.57-0.66). 

The  season  of  sampling  did  not  alter  the  observed 
relationship  between  male  proportion  and  sediment 
grain  size.  This  relationship  remained  intact  despite 
the  fact  that  the  mean  abundance  of  English  sole 
changed  substantially  throughout  the  seasonal  cycle. 
The  observed  seasonal  changes  in  mean  abundance 
are  consistent  with  the  seasonal  pattern  of  migra- 
tion exhibited  by  adults  of  this  species  and  most 
other  pleuronectids.  That  pattern  includes  a  migra- 
tion to  deeper  water  in  the  fall  for  overwintering 
and  spawning,  and  a  return  migration  to  shallower 
water  in  spring  for  feeding  throughout  the  summer 
(Ketchen  1956;  Alverson  et  al.  1964;  Roff  1982).  It 
is  unlikely  that  spawning  substantially  influenced 
the  observed  seasonal  patterns  of  sex  segregation 
in  English  sole,  because  the  largest  percentage  of 
fish  in  spawning  condition  during  any  season  was 
<15%.  However,  sex  segregation  in  relation  to 
spawning  in  pleuronectids  has  been  documented  for 
several  species  (Moiseev  1953;  Alverson  and  Chat- 
win  1957),  and  may  influence  sex  segregation  in 
English  sole  when  a  substantial  percentage  of  the 
population  is  in  spawning  condition. 

Results  of  this  study  suggest  that  the  influence 
of  sex  segregation  should  be  considered  when 
characteristics  of  English  sole  populations  are  com- 
pared among  habitats  that  differ  with  respect  to 
sediment  character.  Patterns  based  on  population 
characteristics  capable  of  exhibiting  a  dependence 
on  sex  (growth,  condition,  disease  prevalence,  tissue 
contamination)  could  be  strongly  biased  if  differ- 
ences in  the  sex  ratio  among  stations  are  not  con- 
sidered. This  concern  should  probably  be  extended 
to  studies  of  other  pleuronectids,  because  the  rela- 
tionship between  sex  segregation  and  sediment 
character  is  unknown  for  most  species. 

Although  the  reasons  for  the  observed  patterns 
of  sex  segregation  in  English  sole  are  unknown,  a 
potential  explanation  is  that  different  energetic 
needs  induce  male  and  female  fish  to  utilize  differ- 
ent habitats.  Female  English  sole  grow  to  a  larger 
size  than  males  and  mature  at  an  older  age  (Ketchen 
1956;  Holland  1969;  Van  Cleve  and  El-Sayed  1969; 
Hart  1973).  In  addition,  fecundity  in  females  is  pro- 
portionate to  individual  size  (Ketchen  1956;  Hart 


522 


BECKER:  SEDIMENT  AND  SEX  SEGREGATION  IN  ENGLISH  SOLE 


1973).  These  patterns  are  found  for  numerous 
pleuronectids  and  are  thought  to  allow  females  to 
outgrow  predators  and  maximize  fecundity  (Roff 
1982).  Female  English  sole  may  therefore  select 
different  habitats  than  males  to  support  their  differ- 
ential reproductive  requirements.  Because  many 
characteristics  of  benthic  macroinvertebrate  assem- 
blages (i.e.,  the  primary  prey  of  English  sole)  are 
related  to  sediment  character  (Gray  1974;  Rhoads 
1974;  Pearson  and  Rosenberg  1978),  selection  of 
habitats  that  differ  in  sediment  grain  size  provides 
females  with  different  prey  spectra  and  energetic 
potentials  than  are  available  to  males.  In  addition, 
differential  habitat  selection  would  reduce  the  poten- 
tial of  competition  for  food  between  sexes. 

In  summary,  sex  segregation  by  English  sole  was 
strongly  associated  with  the  grain-size  character- 
istics of  bottom  sediments.  This  association  was 
persistent  across  a  variety  of  sampling  conditions, 
including  different  years,  seasons,  embayments,  and 
depths.  Fish  age  did  not  appear  to  influence  the 
observed  association.  Results  of  this  study  provide 
the  first  documentation  of  the  influence  of  sediment 
character  on  sex  segregation  in  a  pleuronectid,  and 
suggest  that  this  relationship  should  be  considered 
in  future  studies  of  English  sole  and,  perhaps,  other 
pleuronectids  as  well. 

ACKNOWLEDGMENTS 

The  1981-82  survey  was  supported  by  the 
National  Oceanic  and  Atmospheric  Administration 
(Contract  NA80RAD00050),  and  was  part  of  a 
dissertation  submitted  to  the  School  of  Fisheries  of 
the  University  of  Washington  (Seattle)  in  partial 
fulfillment  of  a  Ph.D.  degree  for  the  author;  A.  J. 
Mearns  was  the  Project  Officer.  The  1984  survey 
was  supported  under  Cooperative  Agreement  No. 
CX810926-01-0  between  the  U.S.  Environmental 
Protection  Agency  and  the  State  of  Washington 
Department  of  Ecology;  J.  D.  Krull  of  Ecology  was 
the  Project  Manager.  I  thank  R.  A.  Pastorok  and 
two  anonymous  reviewers  for  their  helpful  sugges- 
tions on  the  manuscript. 

LITERATURE  CITED 

Alton,  M.  S. 

1972.  Characteristics  of  the  demersal  fish  fauna  inhabiting 
the  outer  continental  shelf  and  slope  off  the  northern  Oregon 
coast.  In  A.  T.  Pruter  and  D.  L.  Alverson  (editors),  The 
Columbia  River  estuary  and  adjacent  ocean  waters,  p.  586- 
634.  Univ.  Wash.  Press,  Seattle. 
Alverson,  D.  L.,  and  B.  M.  Chatwin. 

1957.    Results  from  tagging  experiments  on  a  spawning  stock 


of  petrale  sole,  Eopsetta  jordani  (Lockington).    J.  Fish.  Res. 
Board  Can.  14:953-974. 
Alverson,  D.  L.,  A.  T.  Pruter,  and  L.  L.  Ronholt. 

1964.  A  study  of  demersal  fishes  and  fisheries  of  the  north- 
western Pacific  Ocean.  H.  R.  MacMillan  Lect.  Fish.,  Inst. 
Fish.,  Univ.  B.C.,  Vancouver,  190  p. 

Becker,  D.  S. 

1984.    Resource  partitioning  by  small-mouthed  pleuronectids 
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Buchanan,  J.  B. 

1984.    Sediment   analysis.    In   N.    A.    Holme   and   A.    D. 
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Fadeev,  N.  S. 

1970.    The  fishery  and  biological  characteristics  of  yellowfin 
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1974.    Observations  on  fishes  associated  with  kelp  beds  in 
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1968.  Petrology  of  sedimentary  rocks.  Univ.  Texas,  Austin, 
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Gray,  J.  S. 

1974.    Animal-sediment  relationships.    Oceanogr.  Mar.  Biol. 
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1952.  The  biology  of  the  Dover  sole,  Microstomus  pacificvs 
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Hart,  J.  L. 

1973.    Pacific  fishes  of  Canada.    Fish.  Res.  Board  Can.,  Bull. 
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1956.    Factors  influencing  the  survival  of  the  lemon  sole 
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1977.  Ichthyology.    John  Wiley  and  Sons,  N.Y.,  506  p. 
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1953.  Cod  and  flounder  of  the  Far  Eastern  Seas.  Fish.  Res. 
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1978.  Distribution  and  abundance  of  small  flatfishes  and  other 
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Pearson,  T.  H.,  and  R.  Rosenberg. 

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1965.  The  lemon  sole.    Fishing  News  Ltd.,  Lond.,  106  p. 


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524 


OCCURRENCE  OF  CANCER  CRAB  (C  MAGISTER  AND 

C.  OREGONENSIS)  MEGALOPAE  OFF  THE  WEST  COAST  OF 

VANCOUVER  ISLAND,  BRITISH  COLUMBIA 


Glen  S.  Jamieson  and  Antan  C.  Phillips^ 


ABSTRACT 

The  seasonal  and  cross-shelf  occurrences  of  Cancer  crab  (C.  magister  and  C.  oregonensis)  megalopae 
in  1985  along  a  transect  line  perpendicular  to  the  coast  off  Tofino,  British  Columbia,  are  presented. 
Megalopae  of  both  species  were  generally  absent  from  surface  waters  during  daylight  hours.  The  two 
species  may  have  slight  temporal  differences  in  nocturnal  surface  abundance,  with  C.  magister  occur- 
ring later  in  the  evening  and  earlier  in  the  morning  than  C.  oregonensis.  Their  relative  occurrence  at 
the  surface  during  the  night  was  used  to  calibrate  cross-shelf  megalopal  abundance  data.  Cross-shelf 
megalopal  intermolt  stage  proportions  were  calculated,  relating  degree  of  megalopal  development  to 
proximity  of  nearshore  habitat  required  for  successful  settlement  of  larvae. 

Cancer  magister  megalopae  were  present  from  April  to  August,  with  peak  abundance  in  May  and 
June.  Megalopae  were  abundant  in  a  broad  band  37-148  km  from  shore,  with  peak  abundance  (2,871 
10  m"^)  56  km  offshore  in  June.  In  May,  some  late  stage  megalopae  were  collected  in  coastal  inlets  but 
settlement  appeared  low  in  coastal  study  areas.  Megalopal  abundance  decreased  abruptly  shoreward  of 
28  km  from  the  coast. 

Cancer  oregonensis  megalopae  were  also  present  from  April  to  August,  with  their  pattern  of  cross- 
shelf  abundance  basically  similar  to  that  of  C.  magister.  However,  in  contrast  to  C.  magister,  abundance 
of  late  stage  megalopae  in  coastal  inlets  was  relatively  high  (313  10  m"^)  in  June,  indicating  that  a  signifi- 
cant settlement  of  megalopae  of  this  species  could  have  occurred. 

Evidence  for  cross-shelf  movement  of  Cancer  megalopae  is  discussed. 


Dungeness  crab,  Cancer  magister,  range  from  the 
Aleutian  Islands  to  northern  Mexico  in  the  eastern 
Pacific  (Hart  1982)  and  are  commercially  exploited 
from  northern  California  to  Kodiak  Island,  AK.  As 
part  of  an  ongoing  study  of  Dungeness  crab  recruit- 
ment off  the  west  coast  of  Vancouver  Island,  the 
abundance  and  distribution  of  larvae  off  Tofino, 
British  Columbia,  are  being  studied  to  determine 
how  variability  in  annual  recruitment  is  affected  by 
larval  settlement. 

Dungeness  crab  larvae  are  planktonic  and  pass 
through  five  zoeal  stages  and  one  megalopal  stage 
before  settling  to  the  sea  bottom.  Studies  of  larvae 
prior  to  the  1970s  primarily  involved  descriptions 
of  larval  morphology  (Mir  1961;  Poole  1966),  and  it 
was  not  until  Reed  (1969)  developed  laboratory 
culture  methods  that  larval  environmental  require- 
ments were  first  described.  Optimal  ranges  of  tem- 
perature and  salinity  for  laboratory-cultured  zoeae 
were  10.0°-13.9°C  and  25-30%o  respectively,  but 
their  survival  was  not  significantly  affected  by  the 
temperature  and  salinity  ranges  occurring  in  the 


waters  off  Oregon,  where  Reed's  study  was  con- 
ducted, at  the  time  of  year  when  larvae  are  com- 
monly found.  Lough  (1976)  suggested  offshore  lar- 
val movement  would  allow  larvae  to  avoid  lower 
nearshore  salinities,  and  that  normal  oceanic  salinity 
levels  probably  favor  survival  over  the  long  term. 

The  temporal  occurrence  of  larvae  in  open  coast 
oceanic  waters  varies  somewhat  according  to  lati- 
tude, with  larvae  present  earliest  in  the  season  in 
the  southern  part  of  the  species'  range.  Seasonal 
occurrence  has  not  been  well  documented  in  the  in- 
shore waters  of  Georgia  Strait,  Puget  Sound,  and 
Juan  de  Fuca  Strait,  but  appears  to  differ  signifi- 
cantly from  that  in  open  coast  waters.  Larval  settle- 
ment, which  typically  occurs  in  May  and  June  off 
the  outer  coast  of  Washington,  can  occur  as  late  as 
mid-September  in  northern  Puget  Sound  (D.  Arm- 
strong2). 

Temporal  and  spatial  distributions  of  crab  larvae 
have  been  documented  for  the  years  1975-80  in  the 
Gulf  of  Farallones  and  the  San  Francisco-San  Pablo- 
Suisun  Bay  complex  in  central  California  (Reilly 


'Department  of  Fisheries  and  Oceans,  Fisheries  Research 
Branch,  Pacific  Biological  Station,  Nanaimo,  B.C.,  Canada  V9R 
5K6. 


^D.  Armstrong,  University  of  Washington,  Seattle,  WA  98195, 
pers.  commun.  December  1986. 


Manuscript  accepted  March  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


525 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


1983)  and  for  the  years  1969-70  along  a  transect 
off  Newport,  OR  (Lough  1975,  1976).  These  studies 
suggest  that  while  larvae  are  hatched  in  the  near- 
shore,  shallow-water  environment  preferred  by 
adult  Dungeness  crab,  they  subsequently  move 
alongshore  and  offshore,  and  then  inshore,  often 
over  considerable  distances.  Larvae  hatched  off 
California  and  Oregon  in  late  winter  have  been 
hypothesized  to  move  northward  with  the  Davidson 
Current  before  its  reversal  in  March- April,  and  off- 
shore as  a  result  of  upwelling,  Ekman  transport, 
estuarine  runoff,  and  geostrophic  flow,  depending 
on  location  and  season  (Lough  1976;  Wild  and  Tasto 
1983).  Later  stage  zoeae  are  typically  found  pro- 
gressively further  offshore,  and  it  seems  to  be  the 
megalopal  stage  that  returns  inshore  (Lough  1976; 
Reilly  1983).  The  megalopal  stage  is  the  strongest 
swimming  stage  (Jacoby  1982),  but  there  is  no  direct 
evidence  to  indicate  that  their  inshore  movement  is 
active. 

There  are  five  species  of  crabs  of  the  genus  Cancer 
in  British  Columbia  (Hart  1982),  and  larvae  of  C. 
oregonensis  also  occur  in  abundance  in  offshore 
waters  along  with  C.  magister  (Lough  1975).  Cancer 


oregonensis  has  no  commercial  importance,  but  since 
it  occurs  with  C.  magister,  data  on  both  species  of 
crabs  are  included  in  this  study.  Comparisons  of 
occurrence  between  the  two  species  may  provide 
insight  into  possible  environmental  mechanisms  or 
processes  that  influence  transport  from  offshore 
areas  to  the  inshore  juvenile  habitats,  which  the  lar- 
vae of  both  species  must  reach. 

This  study  establishes  the  seasonal  and  spatial 
occurrences  of  Cancer  megalopae  along  a  transect 
over  and  beyond  the  continental  shelf  off  the  west 
coast  of  Vancouver  Island  (Fig.  1).  The  geograph- 
ical area  is  of  particular  interest  because  of  the  loca- 
tion of  a  major  regional  crab  fishery  near  Tofino 
(Jamieson  1985;  Noakes  and  Jamieson  1986)  and  the 
resulting  importance  of  understanding  factors  influ- 
encing the  magnitude  of  local  larval  crab  settlement. 
The  oceanography  off  Vancouver  Island  has  been 
relatively  well  studied  (Freeland  et  al.  1984;  Thom- 
son 1981),  and  because  of  the  intrusion  of  Juan  de 
Fuca  Strait  waters  into  the  general  longshore  ocean- 
ographic  regime  and  the  relative  increase  in  topo- 
graphical complexity  of  the  continental  shelf,  it  is 
considerably  more  complicated  than  that  found 


Figure  1.— The  survey  transect  line,  with  stations,  over  which  this  study  was  conducted. 


526 


JAMIESON  and  PHILLIPS:  OCCURRENCE  OF  CANCER  CRAB  MEGALOPAE 


south  of  Cape  Flattery  (Hickey  1979).  Along  the 
eastern  Pacific  coast,  Cape  Flattery  marks  a  sig- 
nificant change  in  nearshore  oceanography,  and 
this  study  to  investigate  larval  crab  distribution  in 
open  coast  waters  is  the  first  one  north  of  this 
landmark. 

GENERAL  OCEANOGRAPHY  OFF 
VANCOUVER  ISLAND 

A  seasonal  surface  current  moving  northward 
from  about  lat.  32°N  to  51  °N  (northern  Vancouver 
Island)  typically  exists  in  nearshore  waters  from 
October  to  March  (Fig.  2).  South  of  Cape  Flattery, 
this  is  called  the  Davidson  Current  (Hickey  1979) 
whereas  off  British  Columbia,  it  appears  to  consist 
of  two  components.  Nearshore,  there  is  the  year- 
round,  northward  flowing  Vancouver  Island  Coastal 
Current,  about  20-30  km  wide,  and  further  offshore, 
there  is  the  seasonal  Shelf-Break  Current,  perhaps 
a  continuation  of  the  Davidson  Current,  which 
reverses  direction  in  response  to  changes  in  the 
large-scale  wind  field  (Freeland  et  al.  1984).  The 
Davidson  Current  off  Oregon  has  an  average 
northward  flow  of  50  cm/s  for  30%  of  the  time 
(Boisvert  1969),  sufficient  to  transport  larvae  sig- 
nificant distances  northward  during  their  develop- 
mental period  if  they  remained  continuously  in  the 
current.  The  California  Current  is  a  seasonal,  south- 
ward moving,  surface  current  of  similar  magnitude 
and  location  to  the  Davidson  Current.  It  occurs  off 
Vancouver  Island  (Hickey  1979)  in  the  spring  and 
summer,  along  with  the  seasonal,  southward  flow- 
ing, Shelf-Break  Current  on  the  outer  continental 
shelf  (Freeland  et  al.  1984).  These  currents  could 
transport  larvae  located  off  Vancouver  Island  dur- 
ing the  spring  and  summer  southwards  (Fig.  2). 
North  of  Vancouver  Island,  outer  continental  shelf 
currents  are  poorly  described,  but  off  Cape  St. 
James  (southern  tip  of  the  Queen  Charlotte  Islands), 
the  surface  flow  is  strongly  southward  almost  year- 
round,  turning  northward  only  in  March  and  April 
(Freeland  et  al.  1984).  The  Vancouver  Island  Coastal 
Current  originates  at  the  mouth  of  Juan  de  Fuca 
Strait,  and  so  could  transport  larvae  out  of  the  Puget 
Sound-Georgia  Strait  complex. 

MATERIALS  AND  METHODS 

General  Methodology 

Sampling  was  largely  done  along  an  offshore 
transect  line  perpendicular  to  the  coast  off  Tofino, 
British  Columbia  (Fig.  1),  with  stations  located  at 


0,  9.3,  18.5,  27.8,  37,  46,  55.6,  74.1,  92.3,  111.2, 
148.2,  and  185.3  km  from  shore.  Stations  were  more 
closely  spaced  nearshore  where  larval  abundance 
was  expected  to  be  greatest,  but  the  transect  ex- 
tended well  beyond  the  shelf  break  to  determine 
what  the  seaward  distribution  of  megalopae  might 
be. 

Six  offshore  samplings  were  made  along  the  tran- 
sect from  February  through  August  1985,  but  only 
three  extended  the  full  185  km.  Dates  of  sampling 
were  27  February-4  March,  17  and  18  April,  30  and 
31  May,  14  and  15  June,  6  and  7  July,  and  24  and 
25  August.  February-March,  June,  and  July  sam- 
plings were  terminated  74  km,  130  km,  and  111  km 
offshore,  respectively,  because  of  poor  weather  and 
time  constraints. 

At  each  station,  a  neuston  tow  and  an  oblique 
bongo  tow  to  250  m,  or  to  within  5  m  of  bottom, 
were  made,  and  a  temperature  profile  was  recorded 
by  means  of  an  expendable  bathythermograph.  On 
all  cruises,  bongo  tows  were  done  during  daylight 
hours  and  neuston  tows  at  night;  late-stage  crab 
larvae  congregate  near  the  water  surface  at  night 
(Booth  et  al.  1985).  On  17  June  1985,  an  hourly,  noc- 
turnal series  of  neuston  tows  was  made  at  one  loca- 
tion, 9.3  km  offshore,  to  identify  patterns  of  night- 
time abundance  of  megalopae  in  surface  waters. 

To  supplement  offshore  sampling  along  the  tran- 
sect, neuston  tows  were  made  after  dusk  in  the  in- 
lets around  Tofino  biweekly  from  early  May  through 
August  1985  to  monitor  presence  and  movement  of 
larvae.  In  addition,  a  beam  trawl  and  epibenthic  sled 
were  used  in  inshore  waters  in  July  1985  to  sample 
for  newly  settled  larvae  in  an  effort  to  establish  time 
and  magnitude  of  larval  settlement. 

The  RV  G.  B.  Reed  was  used  for  all  offshore 
sampling  except  for  the  June  sample,  which  was 
collected  from  a  27  m  charter  vessel.  Inshore  sam- 
pling was  conducted  from  a  7  m  aluminum  herring 
skiff  except  for  mid-June,  when  the  charter  vessel 
was  again  used. 

Gear 

The  neuston  sampler  was  a  modified  otter  surface 
sampler  (Mason  and  Phillips  1986)  with  a  square 
mouth  opening  45  cm  on  each  side;  under  calm  sea 
conditions,  it  sampled  the  top  35  cm  of  the  water 
column.  A  General  Oceanics  flowmeter^  in  the 
mouth  of  the  net  was  used  to  establish  volume  of 
water  filtered.  Netting  was  black,  500  pt  Nitex,  and 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


527 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


WINTER 


54° 


51' 


48° 


CONFUSED   AND 
^;i^;S^  VARIABLE 
CURRENTS 


54° 


51° 


48° 


Figure  2.— Prevailing  surface  circulation  off  the  British  Columbia-Washington  coast  in  winter  and 
summer.  Broken  arrows  indicate  uncertain  currents.  Numbers  give  speeds  (cm  s"^)  (modified  from 
Thomson  1981). 


528 


JAMIESON  and  PHILLIPS:  OCCURRENCE  OF  CANCER  CRAB  MEGALOPAE 


was  the  same  size  as  that  on  the  bongo  gear.  The 
neuston  sampler  was  towed  at  4  kn  approximately 
10  m  from  the  side  of  the  vessel  to  reduce  hull 
avoidance  by  the  larvae.  Tow  duration  was  usually 
15  minutes  but  was  shortened  when  crab  larvae 
occasionally  became  very  abundant  at  dawn  and 
dusk. 

Bongo  gear  was  a  modified  SCOR  design  (Mason 
et  al.  1984),  having  a  mouth  opening  of  25  cm  (each 
side)  with  the  outboard  (left)  net  of  500  ^a  Nitex  and 
the  inboard  (right)  net  of  230  ^  Nitex.  A  General 
Oceanics  flowmeter  was  mounted  in  the  mouth  of 
each  net.  Sampling  procedure  followed  that  de- 
scribed by  Smith  and  Richardson  (1977*).  At  stations 
<100  m  water  depth,  the  bongo  was  fished  in  an  un- 
dulating fashion  from  the  bottom  to  the  surface  in 
order  to  filter  a  standard  volume  of  water  (about 
300  m^). 

The  epibenthic  sled  (Phillips  and  Mason  1986)  used 
in  inshore  waters  had  a  60  cm  mouth  opening  and 
1  mm  Nitex  netting;  it  was  towed  for  10  minutes 
at  2-3  kn.  Nine  tows  were  made  over  bottoms  of 
unknown  characteristics.  The  modified  beam  trawl 
(Gunderson  and  Ellis  1986),  also  used  in  inshore 
waters,  had  a  3  m  mouth  opening,  a  7  mm  mesh  net, 
and  a  3  mm  mesh  cod  end;  it  was  towed  for  10 
minutes  at  about  the  same  speed  as  the  sled.  For 
both  gear  types,  distance  towed  was  calculated  by 
radar  triangulation  to  reference  points  on  land. 

Data  Analysis 

All  plankton  samples  were  preserved  initially  in 
a  4%  formaldehyde  solution  of  saltwater.  In  the 
laboratory,  settled  volume  was  determined,  and 
general  composition  of  the  plankton  noted.  Samples 
were  then  sieved,  and  Cancer  larvae  picked  by  hand 
and  returned  to  a  2%  formaldehyde  solution  before 
their  identification.  Cancer  magister  megalops  are 
readily  identifiable  by  their  larger  size  (Trask  1970; 
Lough  1975),  but  the  currently  used  key  (Lough 
1975)  was  not  always  effective  in  separating  C.  ore- 
gonensis  and  C.  jyroductus.  Presence  of  lateral  spines 
is  a  subjective  criterion,  and  morphological  dimen- 
sions and  counts  of  setae  were  two  variable  to 
distinguish  species.  These  smaller  megalops  were 
finally  concluded  to  be  C.  oregonensis  after  rearing 
hundreds  of  larvae  to  the  juvenile  stage  and  finding 
no  C.  productus. 

With  beam  trawl  samples,  the  catch  was  sorted 


*Smith,  P.  R.,  and  S.  L.  Richardson.  1977.  Manual  of  methods 
for  fisheries  resource  survey  and  appraisal.  Part  4.  Standard  tech- 
niques for  pelagic  fish  egg  and  larval  surveys.  Southwest  Fish. 
Cent.,  Natl.  Mar.  Fish.  Serv.,  NOAA,  Adm.  Rep.  No.  77-11. 


on  deck  to  remove  juvenile  crabs,  and  the  megalopae 
were  preserved  as  above.  Species  composition  of  the 
catch  was  noted. 

For  the  bongo  tows,  the  volume  of  water  filtered 
was  used  to  calculate  a  haul  factor  (Mason  et  al. 
1984),  which  accounted  for  tow  depth  and  allowed 
expression  of  the  data  as  the  integrated  number  of 
organisms  beneath  10  m^  of  sea  surface. 

For  neuston  tows,  relative  abundance  was  ex- 
pressed as  area  swept  rather  than  as  volume  filtered 
and  again  expressed  as  number  of  animals  under  10 
m^  of  sea  surface. 

Calculations  of  larval  abundance  are  necessarily 
conservative,  and  direct  comparisons  between  dif- 
ferent gear  types  are  not  presently  possible,  given 
our  current  understanding  of  gear  efficiency  and  lar- 
val catchability,  which  varies  with  both  depth  and 
time  of  day.  Numbers  of  larvae  reported  here  are 
thus  directly  comparable  only  within  each  gear  type 
used.  For  bottom  gear,  numbers  of  crabs  were  cal- 
culated with  no  consideration  of  gear  efficiency. 

Molt  Staging 

State  of  development  within  the  megalopal  stage 
was  determined  for  all  Cancer  megalopae  collected 
at  a  station,  or  25  randomly  selected  individuals  of 
each  species  if  the  number  collected  exceeded  25. 
The  sequence  of  epidermal  changes  occurring  dur- 
ing this  intermolt  period  has  been  described  for 
Dungeness  crab  by  Hatfield  (1983),  and  her  proce- 
dures and  staging  criteria  were  applied  for  both 
species.  Whole  megalopae  were  stained  with  0.25% 
Fast  Green  dye  in  either  water  or  polyvinyl  lacto- 
phenol  for  2-18  hours,  and  then  the  second  maxil- 
lipeds  were  removed  and  mounted.  Megalopae  were 
identified  to  1  of  the  13  intermolt  stages  recognized 
by  Hatfield  (1983);  these  were  then  combined  to 
form  3  groups:  early  (stages  1-4),  middle  (stages 
5-8),  and  late  (stages  9-13)  megalopae.  Temporal 
durations  of  these  three  groups  in  laboratory  studies 
were  5.8,  15.4,  and  6.3  days,  respectively  (Hatfield 
1983).  Corresponding  durations  for  C.  oregonensis 
are  unknown.  Stages  were  grouped  into  the  three 
categories  described  for  simplification  of  analysis; 
many  of  Hatfield's  stages  were  of  <48-h  duration, 
and  this  was  considered  too  fine  a  resolution  for  our 
purposes. 

RESULTS 

Water  Temperature 

Water  temperature  at  the  surface  ranged  from 

529 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


8.4°  to  14.4°C,  and  from  7.6°  to  8.8°C  at  50  m,  dur- 
ing the  period  17  April  to  7  July  (Table  1).  Warmest 
surface  temperatures  were  in  May  and  July,  and  at 
50  m,  were  warmest  in  June. 

Species  Occurrence 

Three  species  of  crab  larvae  predominated  in  the 
plankton  collected.  The  porcellanid  crab,  Petrolisthes 
cinctipes,  predominated  in  waters  within  8  km  of 
shore,  while  C.  oregonensis  and  C.  magister  domi- 
nated in  more  offshore  waters.  Other  crab  species 
were  present  but  at  much  lower  abundance  than 
these  three  species.  Megalopae  of  C.  oregonensis 
were  of  comparable  abundance  to  C.  magister  at 
most  stations  sampled. 

Surface  Abundance 

Presence  of  crab  megalopae  at  the  surface  was 
dependent  on  time  of  day,  with  slight  differences 
in  timing  of  maximal  abundance  occurring  between 
the  two  Cancer  species  (Fig.  3).  At  9.3  km  offshore 
in  June,  C.  oregonensis  was  several  orders  of  mag- 
nitude more  abundant  and  also  seemed  to  peak  in 
abundance  a  little  earlier  in  the  evening  and  later 
in  the  morning  than  did  C.  magister.  Relative  abun- 
dance of  both  species  declined  in  the  middle  of  the 
night. 

Data  in  Figure  3  was  smoothed  by  eye  (Fig.  4) 
to  allow  megalopal  abundance  data  from  the 
transect  to  be  weighted  by  time  of  capture  at 
night.  Multiplier  values  were  determined,  and  these 
were  used  to  adjust  actual  abundance  data  by 
sampling  time  for  the  May  and  June  sampling 
periods  (Tables  2,  3).  Only  these  data  were  weighted, 
and  since  day  length  changes  with  time  of  year,  ad- 


justment of  data  collected  more  than  two  weeks  on 
either  side  of  14  and  15  June  was  considered 
inappropriate. 

In  hindsight,  some  data  (indicated  by  asterisks  in 
Tables  2,  3)  was  found  to  have  been  collected  at  a 
time  when  megalopae  were  just  beginning  to  reach, 
or  had  just  left,  the  surface.  The  calibration  slope 
(Fig.  4)  is  very  steep  at  both  these  times  and  it  was 
impossible  to  estimate  accurately  a  meaningful  scal- 
ing multiplier  for  these  data.  Our  estimated  mega- 
lopal abundance  at  these  stations  should  be  viewed 
with  particular  caution;  a  zero  value  may  not  in- 
dicate that  megalopae  were  absent,  but  only  that 
they  were  not  at  the  surface. 

Bongo  tows  during  the  day  poorly  sampled  the 
abundance  of  C.  magister  megalopae  (Table  4) 
shown  to  be  present  by  nighttime  neuston  tows 
(Tables  2,  3).  This  was  possibly  due  to  sampling  the 
total  column  below  only  a  few  square  meters  of  sea 
surface,  because  of  integration  of  the  results,  or  to 
avoiding  the  net  by  the  megalopae.  It  was  unlikely 
because  of  failure  to  sample  deeply  enough,  since 
on  the  continental  shelf,  tow  depth  approached  bot- 
tom depth.  Megalopae  (maximum  per  tow  was  4) 
were  primarily  collected  by  bongo  gear  at  stations 
where  they  were  abundant  in  neuston  samples  at 
night,  but  relative  abundance  estimates  obtained 
from  bongo  nets  are  considered  only  useful  in  a 
general  qualitative  sense  because  of  the  low  absolute 
numbers  caught. 

Temporal  Occurrence 
(Time  of  Year) 

No  Cancer  megalopae  were  found  in  samples  col- 
lected shortly  after  dusk  on  27  February-4  March. 
Cancer  megalopae  were  first  observed  on  the  next 


Table  1  .- 

-Watei 

'  temperatures  (°C)  by  depth  (m)  at  the  stations  sampled  off  Tofino,  B.C.  on 
17  April,  31  May,  14  June,  and  6  and  7  July  1985. 

Depth  (m) 

Distance 

offshore 

(km) 

April                          May                           June                           July 

0 

20       50          0           20        50          0           20        50         0           20        50 

0 

9 

19 

28 

37 

56 

74 

93 

111 

130 

148 

185 


8.8 
8.8 
8.7 
8.8 
8.6 
8.7 
8.7 
8.5 
8.5 

8.5 
8.4 


8.8 
8.7 
8.1 
8.8 
8.6 
8.7 
8.6 
8.5 
8.4 

8.5 
8.6 


7.9 
8.2 
8.3 
8.2 
8.2 
8.2 
8.0 

8.0 
8.4 


12.2 
13.4 
13.4 
13.1 
13.8 
13.3 
11.8 
11.9 
11.5 

11.0 
11.4 


9.2 

9.5 

8.6 

9.6 

9.3 

9.8 

10.0 

10.3 

10.5 

10.0 
10.0 


7.6 
7.9 
7.9 
8.2 
8.2 
8.2 
8.1 

8.7 
8.4 


12.2 
12.2 
12.3 
12.8 
12.7 
12.9 
12.9 
12.8 
12.7 
12.7 


11.4 
9.0 
10.4 
12.3 
9.4 
10.5 
12.0 
12.2 
12.2 
12.4 


8.0 
8.0 
8.3 
8.1 
8.7 
8.5 
8.5 
8.6 


13.5 
14.0 
13.3 
13.3 
14.4 
14.4 


11.0 
9.0 
10.0 
10.7 
13.3 
13.3 


7.6 
7.7 
7.7 
8.6 
8.6 


530 


JAMIESON  and  PHILLIPS:  OCCURRENCE  OF  CANCER  CRAB  MEGALOPAE 


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531 


Figure  4.— Smoothed  abundance  of  Cancer 
magister  and  C.  oregonensis  megalopae  ob- 
served during  sampling  through  one  night  at 
a  station  9  km  off  the  coast  off  Tofino,  B.C. 


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FISHERY  BULLETIN:  VOL.  86,  NO.  3 

10 
JUNE    1985 


o 

in 
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10 


100 


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2000 


2200 


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TIME    (POST) 


Table  2.— Scaling  values  used  to  standardize  the  actual  number  of  megalopae  caught 
(unsealed)  to  the  estimated  number  which  would  have  been  caught  at  the  times  of  peak 
nocturnal  abundance,  22:40  and  23:40  hours,  for  Cancer  oregonensis  and  C.  magister.  respec- 
tively, on  30  and  31  May  1985.  *  =  Value  uncertain  because  of  time  of  sampling.  Values 
rounded  to  one  decimal  place. 


c. 

magister 

C.  oregonensis 

Distance 
(km) 

(A/ 

10  m-2) 

(N  10  m-2) 

Time 

Multiplier 

Unsealed 

Scaled 

Multiplier       Unsealed 

Scaled 

18:12 

0 

oo 

2.3 

?* 

oo 

0 

0* 

19:02 

9 

36.7 

0.2 

7.2* 

CO 

4 

?' 

19:43 

19 

26.8 

0.0 

1.1* 

00 

0 

0* 

20:26 

28 

20.0 

0 

0 

oo 

0 

0* 

21:09 

37 

11.0 

0.4 

4.7 

oo 

0 

0* 

21:52 

46 

3.9 

14.4 

56.4 

5.2 

2.2 

11.5 

22:35 

56 

1.6 

29.9 

47.0 

1.0 

0.1 

0.1 

23:37 

74 

1.0 

17.0 

17.0 

— 

0 

0 

00:47 

93 

3.3 

36.0 

119.9 

24.8 

1.0 

25.7 

01:55 

111 

5.0 

2.6 

13.3 

40.0 

1.8 

72.1 

03:56 

148 

110.0 

1.1 

118.4* 

2.5 

0.1 

0.2 

05:57 

185 

OO 

0 

0* 

oo 

0 

0* 

532 


JAMIESON  and  PHILLIPS:  OCCURRENCE  OF  CANCER  CRAB  MEGALOPAE 


sampling  date,  16  and  17  April,  but  maximum  abun- 
dance (unweighted  as  to  diel  time  of  sampling) 
occurred  in  late  May  and  the  second  week  of  June 
(Fig.  5).  Cancer  magister  megalopae  were  collected 
as  late  as  24  August,  the  last  sampling  date,  but 


relative  abundance  along  the  transect  was  low  after 
the  beginning  of  July. 

Cancer  oregonensis  megalopae  were  caught  in 
April  but  occurred  in  abundance  only  in  the  late  May 
and  mid- June  surveys,  with  peak  abundance  in  June. 


1000 


100  120  140  160  180  200         220  240         260 

CALENDAR      DAYS 

Figure  5.— Neustonic  abundance  of  megalopae  observed  along  the  transect  line  during  April  to  August  1985  surveys. 


Table  3.— Scaling  values  used  to  standardize  the  actual  number  of  megalopae  caught 
(unsealed)  to  the  estimated  number  which  would  have  been  caught  at  the  times  of  peak 
nocturnal  abundance,  22:40  and  23:40  hours,  for  Cancer  oregonensis  and  C.  magister,  respec- 
tively, on  14  and  15  June  1985.  *  =  Value  uncertain  because  of  time  of  sampling.  Values 
rounded  to  one  decimal  place. 


C. 

magister 

C.  oregonensis 

Distance 

{N 

10m-2) 

(N  10  m"^) 

Time 

(km) 

Multiplier 

Unsealed 

Sealed 

Multiplier      Unsealed 

Sealed 

01:42 

0 



0 

0 

37.1 

8.8 

327 

00:58 

9 

3.6 

0.1 

0.4 

27.4 

170.5 

4,671 

00:09 

19 

1.2 

0.1 

0.1 

16.3 

0.1 

2.3 

23:19 

28 

1.0 

0.2 

0.2 

2.7 

7.6 

20.5 

05:36 

37 

OO 

0.1 

?* 

OO 

0 

0* 

03:52 

56 

55.0 

52.2 

2,871* 

2.6 

15.7 

40.9 

02:02 

74 

5.2 

3.7 

19.2 

40.0 

4.8 

192 

00:25 

93 

2.4 

8.9 

21.6 

20.8 

1.5 

30.4 

22:45 

111 

1.2 

8.4 

10.3 

1.0 

12.5 

12.5 

21:10 

130 

— 

0 

0 

— 

0 

0 

533 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  4.— Tow  characteristics  and  number  of  Cancer magister  megalopae  (10  m^^  of  sea  surface)  caught  by  0.25  m 

bongo  tows  off  Tofino,  B.C.,  on  31  May  and  14  June  1985. 


May 

June 

Distance 

Water 

Max. 

Water 

Max. 

offshore 

Time 

volume 

depth 

No. 

Megalopae 

Time 

volume 

depth 

No. 

Megalopae 

(km) 

(h) 

(m3) 

(m) 
33 

megalops 

(A/ 

10  m-'') 

(h) 

K) 

(m) 

megalops 

(A/ 

10  m"^) 

0 

19:27 

210 

1 

1.6 

08:00 

240 

36 

3 

4.5 

9 

18:52 

182 

55 

1 

3.0 

08:55 

220 

55 

0 

0 

19 

18:16 

114 

72 

0 

0 

09:51 

222 

75 

0 

0 

28 

17:37 

166 

120 

0 

0 

10:50 

209 

115 

0 

0 

37 

16:55 

199 

151 

0 

0 

11:47 

284 

146 

1 

5.1 

56 

15:30 

352 

250 

4 

28.4 

13:32 

381 

192 

0 

0 

74 

14:07 

327 

250 

1 

7.6 

15:21 

338 

200 

1 

5.9 

93 

12:42 

326 

250 

3 

23.0 

17:04 

296 

200 

2 

13.5 

111 

11:17 

360 

250 

1 

6.9 

18:56 

269 

200 

0 

0 

130 



21:12 

327 

200 

2 

12.2 

148 

08:55 

400 

250 

0 

0 

— 

185 

06:18 

319 

250 

0 

0 

— 

Cross-Shelf  Spatial  Distribution 

With  both  species,  no  clear  pattern  in  cross-shelf 
distribution  was  evident  from  the  April  data,  per- 
haps because  of  relatively  low  overall  megalopal 
abundance.  In  late  May  (Table  2),  scaled  abundance 
(weighted  as  to  time  of  night)  of  C.  magister  was 
highest  at  93  km  offshore,  but  megalopae  were 
generally  abundant  (>10  10  m"^  sea  surface)  from 
46  to  148  km  offshore.  In  mid-June,  the  basic  pat- 
tern observed  in  late  May  was  still  evident,  although 
megalopal  abundance  near  shore  had  declined  (Table 
3).  Highest  estimated  C.  magister  abundance  was 
at  56  km  offshore. 

With  C.  oregonensis,  scaled  abundance  in  late  May 
peaked  (>20  10  m' 2)  93-111  km  offshore  (Table  2). 
An  exceptionally  large  number  of  megalopae  (4,671 
10  m"^)  was  found  9  km  offshore  in  June  (Table  3), 
while  from  56  to  111  km  offshore,  abundance  re- 
mained high  (>20  10  m- 2). 

Sampling  of  inlet  waters  around  Tofino  with 
neuston  gear  showed  that  a  few  Cancer  megalopae 
were  present  but  that  no  substantial  (average  was 
<1  10  m~2)  numbers  occurred.  Maximum  C.  ma- 
gister megalopal  abundance  was  2.9  megalopae  10 
m"^  on  5  June,  with  megalopae  observed  only  be- 
tween 29  May  and  19  June.  Maximum  C.  oregonen- 
sis abundance  was  2.3  megalopae  10  m"^  on  June 
19,  with  megalopae  observed  only  between  4  and 
19  June. 


Intermolt  Stage 

All  C.  magister  megalopae  collected  in  April  were 
of  early  developmental  stage  (Fig.  6),  whereas  all 
those  collected  in  August  were  mid-stage  mega- 
lopae. In  May,  June,  and  July,  the  general  pattern 


of  offshore  distribution  by  molt  stage  was  for  late 
stage  larvae  to  be  nearest  inshore  and  early  stage 
larvae  to  be  furthest  offshore. 

Cancer  oregonensis  megalopae  had  a  similar 
developmental  distribution  pattern  to  those  of  C 
magister  (Fig.  7);  late  molt  megalopae  were  most 
abundant  closest  to  shore.  However,  in  late  May, 
most  megalopae  were  early  stage,  in  contrast  to  C. 
magister,  whereas  by  mid-June,  all  three  intermolt 
groups  were  present. 

When  the  scaled  megalopal  abundance  at  distance 
offshore  (Tables  2,  3)  is  multiplied  by  the  percent- 
age at  each  molt  stage  at  a  specific  location  (Figures 
6,  7,  for  each  species,  respectively),  the  actual  abun- 
dance by  molt  group  with  distance  offshore  is  deter- 
mined (Figures  8,  9,  respectively).  In  late  May,  late 
stage  C.  magister  megalopae  were  relatively  abun- 
dant 9  km  offshore,  indicating  that  some  Dungeness 
crab  settlement  may  have  occurred.  However,  lar- 
val sampling  in  the  inlets  and  bays  showed  few 
megalopae  present.  In  contrast  to  previous  years, 
no  recently  settled  juvenile  crabs  (0  age-class  crabs) 
were  found  by  local  fishermen  in  intertidal  areas  or 
on  floating  objects,  confirming  that  the  magnitude 
of  megalopal  settlement  in  1985  was  relatively  small. 
In  mid- June,  there  were  few  C.  magister  megalopae 
of  any  intermolt  stage  present  within  40  km  of  the 
coast  and  little  evidence  of  late  stage  megalopae  off- 
shore. Early  and  mid-stage  megalopae  were  most 
abundant  from  56  to  HI  km  offshore. 

For  C.  oregonensis,  the  opposite  was  observed 
(Fig.  9).  Few  late  stage  megalopae  were  present  in 
late  May,  and  unlike  C.  magister,  megalopae  were 
not  concentrated  in  nearshore  waters.  However, 
megalopae  in  all  three  intermolt  stages  were  abun- 
dant inshore  in  mid-June,  with  late  stage  megalopae 
dominating  at  the  coast.  The  timing  of  occurrence 


534 


JAMIESON  and  PHILLIPS:  OCCURRENCE  OF  CANCER  CRAB  MEGALOPAE 


Figure  6.— Percentage  of  the  three  Cancer 
magister  megalopal  intermolt  groups  observed 
at  each  station  during  the  April  to  August  1985 
surveys. 


LlI 

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UJ 
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LU 
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CC 
LlI 
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(a)   APRIL    16/17,  1985 
2   33  2 


(- 
z 

UJ 

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tr 

LU 
CL 


(b)  may   30/31 


100 


80- 
60- 
40 
20 
0 


3- 

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25 

231 

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1 

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25 


25 


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(c)  JUNE  16 


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5  4       25      24 
17   25       25 


(e)  august  23/26 


100 -, 
80 
60 
40 
20 


0 


— t \ 1 1 

0        40      80      120     140 

DISTANCE   (Km) 


JULY    6/7 
63   3   2 


0      40       80     120 
DISTANCE    (Km) 

C.    magjster 

INTERMOULT  STAGES 


o o 

■ a 


1-4 
5-8 
9-13 


n=  10  unless  otherwise 

specified  above  graph 


of  late  stage  megalopae  at  the  coast  thus  differed 
between  the  two  species. 

Inshore  Benthic  Sampling 

Survey  of  commercial  crab  habitat  with  beam 
trawls  and  an  epibenthic  sled  yielded  few  newly 
settled  megalopae  or  juvenile  C  magister  (Table  5). 
A  maximum  of  83  crab/10,000  m^  was  collected, 
well  below  densities  which  might  be  expected  if 
settlement  had  been  substantial.  No  C.  oregonensis 
were  caught,  perhaps  because  of  the  habitat  being 
sampled,  and  no  larval  settlement  of  either  species 
was  observed  when  intertidal  mud  flat  areas  were 
searched  by  foot.  In  a  concurrent  study,  no  signifi- 


cant abundance  of  0  age-class  C.  magister  was 
observed  during  monthly  sampling  throughout  the 
remainder  of  the  year. 

DISCUSSION 

Megalopal  Source 

Temporal  duration  of  C.  magister  larval  stages  has 
been  estimated  both  by  laboratory  rearing  (Poole 
1966;  Reed  1969;  Brugman  1972;  Gaumer  1973; 
Ebert  et  al.  1983)  and  the  first  appearances  of  lar- 
val stages  in  field  studies  (Poole  1966;  Lough  1976; 
Reilly  1983).  The  length  of  the  total  larval  period 
has  been  estimated  as  105-125  days  by  Reilly  (1983), 


535 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


(a)  may  30,31 


LlI 
(J 

cr 

UJ 
Q- 


100-1 
80- 
60 
40 
20 
0 


3  C,  oregonensis 

INTERMOULT  STAGES 


• .  1-4 

o <,  5-8 


n  =  25  unless  otherwise 
specified  above 
graph 


^■,..,r,.£.,,---,-°— °- 


1 — f r»—    , 

0       20      40      60      80      100     120     140     160 


(b)  JUNE  13-17 
II 


C)   JULY  6,7 
15  15 


0        20      40      60      80      100     120 


100-1 
80- 
60 
40 
20 
0 


0       20      40      60      80     100 


DISTANCE  OFFSHORE  (km) 

Figure  7.— Percentage  of  the  three  Cancer  oregonensis  megalopal  intermolt  groups 
observed  at  each  station  during  the  May  to  July  1985  surveys. 


Table  5. — Beam  trawl  and  epibenthic  sled  catches  from  nearshore  waters  around  Tofino,  16-18  June 

1985. 


Area 


Depth 
(m) 


Gear 
type 


Catch  of  crabs 


No.  10"  m-2 


Area 
swept 
(m  )        Juveniles       Megalops       Juveniles       Megalops 


Templar  Channel 

7 

trawl 

2,650 

sled 

375 

Chesterman  Beach 

5 

trawl 

— 

sled 

300 

Cox  Bay 

8 

trawl 

2,500 

7 

sled 

400 

13 

trawl 

2,600 

15 

sled 

420 

30 

trawl 

2,260 

23 

sled 

360 

Lennard  Island 

25 

trawl 



sled 

350 

Long  Beach 

7 

trawl 

2,700 

sled 

400 

13 

trawl 

2,650 

sled 

400 

23 

trawl 



sled 

220 

0 
0 

0 

0 
0 

0 
0 

0 
3 

0 

0 
0 

1 
1 


26 
0 

0 
4 

75 
27 
48 

0 
0 

0 

18 
50 

23 
50 


0 
0 

0 

0 
0 

0 
0 

0 
83 

0 
0 
0 

4 
25 

45 


536 


JAMIESON  and  PHILLIPS:  OCCURRENCE  OF  CANCER  CRAB  MEGALOPAE 


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538 


JAMIESON  and  PHILLIPS:  OCCURRENCE  OF  CANCER  CRAB  MEGALOPAE 


130  days  (range:  89-143)  by  Lough  (1976),  45  and 
108  days  at  17.8°  and  10.0°C,  respectively,  by  Reed 
(1969),  and  128-158  days  under  natural  conditions 
by  Poole  (1966).  In  laboratory  studies,  Poole  (1966) 
found  the  total  time  required  was  111  days  at 
10.5°C.  Since  water  temperatures  typically  range 
from  about  8°  to  13°C  off  the  British  Columbia- 
California  coast  during  January-February  (Thom- 
son 1981),  the  total  larval  period  in  the  study  area 
is  assumed  to  be  about  110  days. 

Off  Vancouver  Island,  megalopae  can  be  collected 
in  abundance  in  open  coast  waters  from  mid- April 
to  August.  Ovigerous  Dungeness  crab,  collected  at 
Tofino  and  held  in  ambient  temperature  seawater 
at  Nanaimo,  hatched  their  eggs  from  January  to 
March,  with  most  hatching  occurring  in  February 
(G.  Jamieson,  unpub.  data).  This  suggests  that  mega- 
lopae collected  between  April  and  June  could  be 
from  local  populations  whereas  most  megalopae 
collected  in  July  and  August  may  have  largely 
originated  elsewhere. 

Lough  (1975)  stated  that  the  hatching  period  of 
C.  oregonensis  off  Oregon  extends  from  January  to 
July,  with  two  broods  indicated,  one  primarily  hatch- 
ing in  February  and  the  other  in  May-June.  He 
estimated  larval  duration  of  a  brood  at  155  days 
(range:  123-203  days)  from  field  sampling,  but  there 
was  possible  intermixing  of  the  larvae  from  differ- 
ent broods,  as  well  as  population  variability  in  the 
timing  of  hatching.  We  have  no  data  on  the  hatching 
period  of  this  species  in  British  Columbia. 

Given  the  currents  off  the  west  coast  of  Vancouver 
Island,  then,  Cancer  larvae  present  there  in  the 
spring  could  theoretically  have  originated  anywhere 
between  northern  California  to  perhaps  southern 
Alaska.  It  seems  very  unlikely  that  the  larvae  are 
entirely  the  progeny  of  adult  crabs  on  the  west  coast 
of  Vancouver  Island. 

Onshore  Movement 

Geographical  location  of  larval  settlement  is  very 
dependent  on  currents.  Adult  Cancer  of  both  species 
are  largely  found  in  nearshore,  shallow-water 
habitats  (Hart  1982),  and  such  environments  are 
apparently  both  the  origin  and  preferred  destina- 
tion of  larval  crabs  (Butler  1956).  Along  the  open 
coast,  Dungeness  crab  larvae  are  known  to  settle 
in  both  estuarine  and  nearshore  areas  (Wild  and 
Tasto  1983;  Stevens  and  Armstrong  1984;  Arm- 
strong and  Gunderson  1985).  In  waters  largely  sur- 
rounded by  land,  such  as  Puget  Sound,  Georgia  and 
Queen  Charlotte  Straits,  and,  to  a  lesser  extent, 
Hecate  Strait,  Dixon  Entrance,  and  southeastern 


Alaska,  larval  crabs  may  perhaps  remain  nearshore 
throughout  their  entire  developmental  period.  How- 
ever, studies  suggest  that  while  larvae  may  be 
hatched  nearshore  along  the  outer  coast,  they  subse- 
quently move  offshore  and  then  inshore  (Lough 
1976;  Reilly  1983).  The  extent  to  which  this  may  oc- 
cur can  profoundly  affect  the  degree  of  dispersal  of 
a  local  region's  progeny. 

Evidence  for  an  offshore-onshore  movement  of  C. 
magister  during  the  larval  development  period  is 
ambiguous.  In  the  field,  three  studies  of  the  offshore 
spatial  pattern  of  larval  distribution  have  been 
undertaken:  off  central  and  northern  California 
(Reilly  1983),  off  Newport,  Oregon  (Lough  1976), 
and  off  Tofino,  British  Columbia  (this  study).  The 
California  study  extended  to  about  185  km  from 
shore  from  San  Francisco  north  to  Cape  Mendocino, 
with  some  eariier  CALCOFI  data  (1949-75)  extend- 
ing to  about  275  km  offshore  included.  Sampling 
consisted  of  discrete-depth  and  oblique  plankton 
tows  and  was  mostly  during  the  day.  The  sampling 
gear  (0.5  m  diameter  opening)  most  often  used  was 
preceded  by  the  towing  cable  and  bridle  (P.  Reilly^), 
and  gear  avoidence  by  same  megalopae  may  have 
occurred.  Because  of  the  gear  and  protocol  used,  it 
is  difficult  to  interpret  Reilly's  (1983)  results  in  a 
quantitative  sense.  However,  offshore  movement  of 
larvae  during  zoeal  stages  II-V  was  indicated,  as 
was  the  later  presence  of  megalopae  in  nearshore 
waters  following  a  period  when  stage  V  zoeae  were 
generally  absent  from  within  40  km  of  shore,  but 
a  mechanism  to  explain  the  onshore  transport  of 
megalopae  was  not  established.  As  part  of  the  over- 
all study  (Wild  and  Tasto  1983),  Hatfield  (1983) 
determined  the  intermolt  stage  of  many  larvae  col- 
lected by  Reilly  (1983).  Earlier  stage  megalopae 
were  in  general  collected  further  offshore,  earlier 
in  the  year,  and  at  a  lower  latitude. 

The  Oregon  study  (Lough  1976)  was  on  one  track- 
line  extending  110  km  offshore  off  Newport,  with 
mostly  daytime,  oblique  bongo  samples  collected  at 
specified  stations.  Although  early  stage  zoeae  of 
both  species  were  abundant  nearshore,  late  stage 
zoeae  were  not,  and  were  largely  collected  at  the 
offshore  stations.  Lough  (1975)  noted  that  C.  ore- 
gonensis megalopae  were  found  further  offshore  and 
later  during  the  summer  upwelling  season  than  were 
C.  magister  megalopae.  In  1970,  large  numbers  of 
C.  magister  megalopae,  which  were  not  intermolt 
staged,  were  found  inshore.  In  1971,  virtually  no  C. 
magister  larvae  older  than  stage  III  were  collected 


^P.  Reilly,  California  Department  of  Fish  and  Game,  Menio  Park, 
CA  94025,  pers.  commun.  February  1988. 


539 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


at  any  of  the  stations,  and  Lough  suggested  that  a 
mass  mortahty  of  C.  magister  larvae  might  have  oc- 
curred. In  contrast,  C.  oregonensis  larvae  were  in 
greater  abundance  during  1971  than  1970. 

Results  from  the  current  study  and  Booth  et  al. 
(1985)  suggest  that  the  sampling  gear  and  proce- 
dures used  by  Reilly  (1983)  and  Lough  (1976)  gave 
poor  abundance  estimates  of  megalopae.  The  num- 
ber of  megalopae  caught  during  daylight  is  relatively 
low,  and  the  presence  or  absence  of  only  a  few 
megalopae  can  greatly  influence  the  estimated 
megalopal  density  per  unit  of  sea  surface.  This  sen- 
sitivity to  bias  can  only  be  compensated  for  by  many 
replicate  samplings,  and  it  is  logistically  easier  to 
estimate  absolute  megalopal  abundance  by  sampling 
at  night  when  megalopae  are  concentrated  in  a 
relatively  easily  sampled,  narrow  depth  range, 
namely  the  neuston  (Booth  et  al.  1985).  Reilly  (1983) 
sampled  once  both  day  and  night  at  12  stations,  and 
noted  no  significant  differences  in  megalopal  den- 
sity between  day  and  night  at  the  surface  and  in 
oblique  tows.  However,  his  surface  tows  were  not 
neuston  tows,  and  consisted  of  a  0.5  m  diameter  net 
towed  about  0.25-0.5  m  below  the  water  surface, 
or  below  the  wave  troughs  if  the  surface  was  rough 
(P.  Reilly  fn.  5).  This  qualifies  his  observations,  and 
may  explain  the  suggested  low  abundance  of  mega- 
lopae in  his  study  area  (maximum  density  was  43 
100  m"^  at  the  surface). 

On  occasion,  megalopae  have  been  observed  to  be 
in  association  with  Velella  velella  at  the  surface  dur- 
ing daylight  (Wickham  1979;  Reilly  1983;  G.  Jamie- 
son  unpub.  data),  but  we  have  generally  observed 
relatively  few  megalopae  in  surface  waters  during 
the  day  in  comparison  to  the  number  observed 
present  at  night.  Accepting  that  relative  megalopal 
abundance  is  best  determined  at  night  from  neuston 
tows,  megalopae  off  British  Columbia  were  shown 
to  be  abundant  in  specific  areas  offshore  and  at  these 
locations,  early  and  mid-stage  megalopae  predomi- 
nated. 

All  three  studies  indicate  that  1)  later  stage  C. 
magister  larvae  are  found  offshore  and,  since  they 
are  hatched  at  inshore  locations,  some  mechanism 
must  be  transporting  them  away  from  shore,  2) 
megalopae  are  found  inshore,  with  Hatfield  (1983) 
and  this  study  showing  that  earlier  stage  megalopae 
predominate  furthest  offshore,  and  3)  while  long- 
shore drift  of  larvae  may  occur,  it  is  difficult  to 
establish  its  significance  in  the  absence  of  simul- 
taneous current  and  larval  distribution  data,  both 
geographically  and  vertically  in  the  water  column. 
None  of  these  studies  demonstrates  conclusively 
that  larvae  which  ultimately  settle  inshore  were  ever 


very  far  offshore,  and  while  it  is  shown  that  larvae 
can  be  carried  offshore  in  abundance,  this  may  well 
represent  larval  wastage,  in  that  relatively  few  of 
them,  if  any,  may  ultimately  return  inshore  to  sur- 
vive at  settlement.  The  same  is  assumed  to  apply 
for  C.  oregonensis. 

The  California  data  on  larval  distribution,  which 
is  the  most  extensive  spatially,  are  somewhat  am- 
bigious  in  that  they  may  be  interpreted  either  as 
onshore-offshore-onshore  movement,  or  as  a  general 
offshore  dispersal  coupled  with  northwards-south- 
wards  drift  of  those  larvae  remaining  inshore.  To 
account  for  an  absence  of  middle  stage  larvae  in  the 
nearshore  waters  of  Reilly's  (1983)  study  area,  the 
latter  scenario  assumes  that  larval  crab  production 
south  of  the  Gulf  of  the  Farallones  is  relatively  low, 
and  that  the  water  mass  entering  the  sample  area 
from  the  south  as  part  of  the  Davidson  Current  con- 
tains few  larvae.  Little  data  appear  to  exist  to  refute 
this  possibility;  the  commercial  fishery  for  Dunge- 
ness  crab  only  exists  at  a  few  locations  south  of  San 
Francisco,  and  then  only  sporadically  (Warner 
1985).  Our  data  and  Lough's  (1976)  data  are  inade- 
quate to  investigate  longshore  drift  because  bio- 
logical samples  in  each  study  were  only  collected 
along  one  offshore  transect  and  no  data  on  currents 
was  simultaneously  obtained. 

Off  the  west  coast  of  Vancouver  Island,  we  found 
that  megalopae  may  be  concentrated  in  areas 
between  surface  currents  flowing  in  opposite  direc- 
tions, specifically  in  the  shear  between  the  Van- 
couver Island  Coastal  Current  and  the  outer  Shelf- 
Break  Current.  Megalopae  were  abundant  40-70  km 
from  shore,  with  C.  magister  megalopae  particularly 
concentrated  about  50  km  from  shore.  In  1985,  there 
was  no  major  crab  settlement  observed  on  the  outer 
coast  near  Tofino,  suggesting  that  the  Coastal  Cur- 
rent may  sometimes  be  an  effective  barrier  to  on- 
shore movement  and  successful  settlement.  Under- 
standing the  horizontal  and  vertical  distributions  of 
crab  larvae  in  the  water  column  now  seems  essen- 
tial if  transport  mechanisms  of  larvae  and  their 
movement  from  hatching  to  settlement  are  to  be 
understood. 

ACKNOWLEDGMENTS 

We  wish  to  thank  the  officers  and  crew  of  the 
Canadian  Research  Vessel  G.  B.  Reed  for  their  en- 
thusiastic assistance  in  collecting  data;  D.  Hartley, 
skipper  of  the  charter  vessel  Beatrice,  for  his  skill 
and  persistence  in  meeting  the  objectives  of  the 
charter;  and  the  students  and  term  employees  who 
participated  in  collecting  and  analyzing  data.  Glen 


540 


JAMIESON  and  PHILLIPS:  OCCURRENCE  OF  CANCER  CRAB  MEGALOPAE 


Brown  and  Dorothy  Young,  in  particular,  contrib- 
uted substantially. 


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central  Oregon  coast,  1969-1971.  Ph.D.  Thesis,  Oregon 
State  Univ.,  Corvallis,  299  p. 

1976.  Larval  dynamics  of  the  Dungeness  crab,  Cancer 
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Mason,  J.  C,  and  A.  C.  Phillips. 

1986.    An  improved  otter  surface  sampler.    Fish.  Bull.,  U.S. 
84:480-484. 
Mason,  J.  C,  A.  C.  Phillips,  and  0.  D.  Kennedy. 

1984.  Estimating  the  spawning  stocks  of  Pacific  hake 
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Mir,  R.  D. 

1961.  The  external  morphology  of  the  first  zoeal  stages  of 
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NOAKES,  D.,  AND  G.  S.  JaMIESON. 

1986.    Preliminary  analysis  of  British  Columbia  commercial 
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1986.    A  towed,  self-adjusting  sled  sampler  for  demersal  fish 
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1969.  Cultiu-e  methods  and  effects  of  temperature  and  salin- 
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Reilly,  p.  N. 

1983.  Dynamics  of  Dungeness  crab.  Cancer  magister,  larvae 
off  central  and  northern  California.  In  P.  W.  Wild  and  R.  N. 
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phasis on  the  central  California  fishery  resource,  p.  57-84. 
Calif.  Dep.  Fish  Game  Fish  Bull.  172. 

Stevens,  B.  G.,  and  D.  A.  Armstrong. 

1984.  Distribution,  abundance  and  growth  of  juvenile  Dunge- 
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Thomson,  R.  E. 

1981.    Oceanography  of  the  British  Columbia  coast.    Can. 
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1970.  A  description  of  laboratory-reared  larvae  of  Cancer  pro 
diictus  Randall  (Decapoda,  Brackyura)  and  a  comparison  to 
larvae  of  Cancer  magister  Dana.    Crustaceana  18:133-146. 

Warner,  R.  W. 

1985.  Overview  of  the  California  Dungeness  crab.  Cancer 
magister,  fisheries.  In  Proceedings  of  the  Symposium  on 
Dungeness  Crab  Biology  and  Management,  p.  11-25. 
Alaska  Sea  Grant  Rep.  No.  85-3. 

Wickham,  D.  E. 

1979.  The  relationship  between  megalopae  of  the  Dungeness 
crab.  Cancer  mugister,  and  hydroid,  Velella  velella,  and  its 


541 


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influence  on  abundance  estimates  of  C.  magister  megalopae. 
Calif.  Fish  Game  65:184-186. 
Wild,  P.  W.,  and  R.  N.  Tasto  (editors). 

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Fish  Bull.  172,  352  p. 


542 


FOOD  PATHWAYS  ASSOCIATED  WITH  PENAEID  SHRIMPS  IN 
A  MANGROVEFRINGED  ESTUARY 

Allan  W.  Stoneri  and  Roger  J.  Zimmerman^ 


ABSTRACT 

High  abundance  and  production  of  juvenile  Penaeus  spp.  in  tropical  estuaries  has  been  attributed  to  high 
concentrations  of  mangrove-derived  detritus  in  the  nursery  habitats.  Examination  of  the  diets  o{  Penaeus 
notialis,  P.  subtilis,  and  P.  brasiliensis  in  the  mangrove-fringed  Laguna  Joyuda,  Puerto  Rico  showed 
that  even  the  smallest  juveniles  are  predators  consuming  capitellid  polychaetes  (20-38%  of  diets)  and 
amphipods  (20-76%).  Less  than  25%  of  the  diets  was  detritus.  Ontogenetic  variation  in  diets  was  greater 
than  interspecific  variation,  and  there  was  no  evidence  for  dietary  separation  among  the  sympatric  species. 
Seasonal  shifts  in  foods  reflected  abundance  patterns  of  macrobenthic  prey  species.  Despite  the  con- 
sumption of  prey  organisms  generally  classified  as  detritivorous,  stable  carbon  isotope  ratios  in  the 
penaeids  (-18.1  to  -15.0"/oo),  their  food  items  (-18.8  to  -17.7''/oo),  and  primary  producers  indicated 
that  shrimps  and  the  majority  of  sediment  dwellers  in  Laguna  Joyuda  obtain  most  of  their  carbon  from 
benthic  algae  (-14.4°/oo)  and  not  from  mangrove  detritus  (-25.0  to  -22.9°/oo). 


The  juveniles  of  penaeid  shrimps  are  abundant  in 
many  tropical  and  subtropical  estuaries  of  the  world, 
particularly  where  wetland  habitats  such  as  marsh 
grasses  or  mangroves  are  prominent  coastal  fea- 
tures (Edwards  1978;  Staples  1980;  Stoner  1988). 
The  relationship  between  wetlands  and  commercial 
shrimp  has  been  attributed  to  at  least  two  factors: 
high  food  abundance  and  shelter  from  predators,  the 
relative  importance  of  which  is  still  debated  (Boesch 
and  Turner  1984).  Early  wetland  studies  (Odum  and 
Heald  1972,  1975)  suggested  that  a  large  variety  of 
fishes  and  invertebrates  including  Penaeus  spp. 
were  directly  dependent  upon  detritus  from  the 
vascular  wetland  plants.  More  specific  studies  of 
penaeid  diets  have  since  revealed  that  the  shrimps 
are  omnivorous  or  carnivorous  in  many  shallow- 
water  habitats  (Moriarty  1976,  1977;  Chong  and 
Sasekumar  1981;  Moriarty  and  Barclay  1981)  and 
that  some  species  may  have  a  direct  influence  on 
the  abundance  of  small  macrofauna  (Leber  1983, 
1985). 

The  most  important  commercial  shrimp  species 
in  the  Caribbean  Sea  and  along  the  north  coast  of 
South  America  are  Penaeus  notialis,  P.  subtilis,  P. 
brasiliensis,  and  P.  schmitti,  all  of  which  have 
nurseries  in  coastal  wetland  habitats  (Stoner  1988). 


'Center  for  Energy  and  Environment  Research,  University  of 
Puerto  Rico,  Mayaguez,  Puerto  Rico  00708;  present  address;  Carib- 
bean Marine  Research  Center,  100  E.  17th  Street,  Riviera  Beach, 
FL  33404  and  Lee  Stocking  Island,  Exuma  Cays,  Bahamas. 

^Southeast  Fisheries  Center  Galveston  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  2700  Avenue  U,  Galveston,  TX 
77550. 


Although  the  biology  of  tropical  Atlantic  penaeids 
has  been  studied  in  a  few  localities  (Neiva  1969; 
Nikolic  and  Ruiz  1969;  Lindner  1971;  Garcia  1974; 
Garcia  et  al.  1985),  we  have  found  no  information 
on  their  diets. 

Examinations  of  shrimp  diets  reported  here  were 
conducted  in  a  small  coastal  lagoon  in  Puerto  Rico 
where  Penaeus  populations  are  large  and  where  four 
species  coexist  (Stoner  1988).  In  this  report,  diets 
of  the  three  most  abundant  Penaeus  species  are 
described  with  particular  reference  to  ontogenetic 
variation,  similarities  among  the  species,  the  sig- 
nificance of  detritus,  and  seasonality  in  diets  as 
related  to  the  abundance  of  foods  in  the  field. 

Because  foods  are  retained  and  assimilated  differ- 
entially in  the  gut,  examination  of  gut  contents  does 
not  necessarily  give  a  true  indication  of  the  relative 
importance  of  foods.  For  example,  detritus  has  been 
reported  as  a  significant  component  of  the  gut  con- 
tents of  Penaeus  spp.  (Odum  and  Heald  1972),  but 
detritus  is  known  to  be  indigestible  compared  with 
soft-bodied  prey  organisms  such  as  polychaetes. 
Furthermore,  in  the  case  of  predators,  the  primary 
source  of  carbon  is  not  revealed  through  gut  anal- 
ysis. For  these  reasons,  stable  carbon  isotope  ratios 
were  measured  for  Penaeus  spp.  and  most  other 
organisms  common  in  the  lagoon. 

METHODS  AND  MATERIALS 

Shrimps  were  collected  in  Laguna  Joyuda  on  the 
west  coast  of  Puerto  Rico  Gat.  18°07'N,  long. 


Manuscript  accepted  March  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988,    ^t^^-ST  ) 


543 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


67°irW).  The  study  site  and  shrimp  and  fish  pop- 
ulations in  the  lagoon  have  been  described  by  Stoner 
(1986,  1988).  Briefly,  Laguna  Joyuda  is  a  polyhaline 
basin  with  a  total  surface  area  of  1.21  km^  and  an 
average  depth  of  approximately  1.5  m.  One  narrow 
channel  0.5  km  long  represents  the  only  connection 
to  the  Puerto  Rico  shelf.  Lagoon  sediments  are 
mostly  fine  mud  and  sand  with  very  high  organic 
content  derived  from  red,  white,  and  black  man- 
groves which  surround  approximately  75%  of  the 
shoreline.  Over  the  last  20  years  the  lagoon  has  had 
a  salinity  range  of  4  to  44''/oo,  depending  upon  pre- 
cipitation and  degree  of  channel  closure  (A.  W. 
Stoner,  unpubl.  data). 

Four  penaeids  utilize  the  lagoon  as  a  nursery  area. 
Penaeus  notialis  and  P.  subtilis  are  approximately 
equal  in  abundance  and  together  comprise  over  92% 
of  the  total  penaeid  assemblage  (Stoner  1988). 
Penaeus  brasiliensis  made  up  7.0%  of  the  total  col- 
lection in  1984  to  1985,  and  P.  schmitti  was  rela- 
tively uncommon,  making  up  <0.3%  of  the  total 
(Table  1).  For  this  study,  we  examined  the  diets  of 
the  three  most  abundant  shrimp  species. 

Penaeids  were  collected  with  a  5  m  otter  trawl 
with  2.5  cm  wings  and  body,  and  5  mm  cod  end  liner. 
All  collections  were  made  between  nautical  twilight 
and  midnight  at  three  sites:  a  northern  muddy  bot- 
tom arm  of  the  lagoon  (station  5),  a  sandy  mud  site 
in  the  central  basin  (station  3),  and  a  sandy  mud  site 
near  the  channel  (station  1).  Collections  were  made 
monthly,  during  the  last  quarter  of  the  moon,  from 
July  1985  to  June  1986. 

Shrimps  were  divided  into  size  classes  on  the  basis 
of  carapace  length  (CL)  for  gut  content  analyses. 
Penaeid  shrimps  between  3  and  6  mm  CL  could  not 
be  identified  to  species  and  were  simply  identified 
as  Penaeus  juveniles  (all  were  of  the  grooved  vari- 
ety and,  therefore,  did  not  include  P.  schmitti). 
Shrimps  larger  than  6  mm  CL  could  be  identified 
and  were  examined  by  individual  species  in  4  mm 
size  classes,  up  to  26  mm  CL  in  the  case  of  P.  sub- 
tilis. To  yield  sufficient  numbers  of  individuals  in 


Table  1 . — Composition  of  the  penaeid  shrimp  assemblage  at  three 
stations  in  Laguna  Joyuda,  Puerto  Rico,  during  the  12-mo  study 
period.  Values  are  total  numbers  collected  in  72  trawl  samples  and 
percentages  of  totals  at  the  individual  sites  (parentheses). 


Station 

Species 

1 

2 

3 

Penaeus  notialis 
P.  subtilis 
P.  brasiliensis 
P.  schmitti 

Totals 

282  (49.1) 

236  (41.1) 

54    (9.4) 

2    (0.4) 

574 

271  (53.6) 
185  (36.5) 
50    (9.9) 
0      (0) 

506 

229  (48.6) 

217(46.1) 

22    (4.7) 

3    (0.6) 

471 

all  size  classes  for  each  monthly  collection,  members 
of  individual  species  were  pooled  from  all  sampUng 
areas.  In  the  case  of  P.  brasiliensis,  collections  from 
2-mo  intervals  were  pooled  to  analyze  seasonal 
variation  in  the  diets  of  this  less  abundant  species. 
Food  items  taken  from  the  proventriculus  of  up  to 
25  shrimp  were  pooled  for  each  sampling  date  and 
size  class,  and  preserved  with  70%  isopropanol  and 
a  dilute  solution  of  rose  bengal  stain. 

We  used  the  gravimetric  sieve  fractionation  pro- 
cedure developed  by  Carr  and  Adams  (1972)  to 
analyze  gut  contents  of  the  shrimp.  This  procedure 
has  been  widely  used  for  juvenile  fishes  (Sheridan 
1979;  Stoner  1980;  Livingston  1984)  and  a  variety 
of  decapod  crustaceans,  including  Penaeus  spp. 
(Laughlin  1982;  Leber  1983).  Gut  contents  were 
washed  through  a  series  of  six  sieves  of  decreasing 
mesh  size  (2.0-0.075  mm  mesh)  and  each  sieve  frac- 
tion was  examined  with  a  dissecting  microscope. 
Because  all  of  the  items  in  a  particular  sieve  frac- 
tion were  of  approximately  equal  size,  the  relative 
proportion  of  the  gut  contents  made  up  of  each  food 
type  was  measured  directly  by  counting.  After  ex- 
amination, each  sieve  fraction  was  dried  overnight 
at  80°C  and  the  total  contribution  of  each  food  type 
to  total  dry  weight  was  calculated. 

With  few  exceptions,  each  food  particle  was  placed 
in  a  mutually  exclusive  category  (Table  2).  In  most 
cases,  food  items  or  fragments  could  be  identified 
to  major  taxonomic  group  such  as  Amphipod  or 
Polychaete.  The  classification  "Animal  Remains" 
was  applied  where  fragments  were  unidentifiable 
to  taxon,  but  where  the  tissue  was  stained  by  rose 
bengal.  The  major  food  categories  were  used  for 
statistical  interpretation  of  diets;  however,  when- 
ever an  animal  or  plant  could  be  identified  to  a  lower 
taxonomic  level,  this  information  was  recorded. 

Similarities  between  and  among  the  diets  of 
various  shrimp  species  and  size  classes  were  mea- 
sured with  Czekanowski's  coefficient  (Bray  and 
Curtis  1957;  Field  and  McFadane  1968).  Dendo- 


Table  2. — List  of  the  general  food  categories  encountered  in  the 
foreguts  of  Penaeus  species  and  the  codes  employed  in  histograms 
for  shrimp  diets. 


AM  Amphipod  OS 

CC  Calanoid  copepod  PM 

CY  Cyclopoid  copepod  PO 

CZ  Crab  zoea  RU 

DE  Detritus  SA 

FO  Foraminifera  TA 

FR  Fish  remains  TH 

HC  Harpacticoid  copepod 

GA  Gastropod  MS 

IE  Invertebrate  egg 

NE  Nematode 


Ostracod 

Plant  material  (green) 

Polychaete 

Ruppia  maritimia 

Sand 

Tanaidacean 

Thalassia  testudinum 

Miscellaneous— used  in 
histograms  for  all  food 
items  making  up  <4%  of 
the  total  dry  weight. 


544 


STONER  and  ZIMMERMAN:  FOOD  PATHWAY  ASSOCIATED  WITH  PENAEID  SHRIMPS 


grams  were  then  constructed  by  complete  linkage 
classification. 

Plant  and  animal  materials  were  collected  from 
the  lagoon  for  stable  carbon  isotope  analyses  on 
several  occasions  between  1981  and  1984.  These 
were  taken  to  give  an  indication  of  the  range  of 
d^^C  values  between  organisms  associated  with 
mangroves,  plankton,  and  benthos  and  to  test  the 
efficiency  of  using  the  technique  to  identify  food 
pathways.  Materials  were  collected  with  trawl, 
sieve,  plankton  net,  and  by  hand.  All  materials  were 
fresh  and  not  exposed  to  chemical  preservatives.  In 
the  field,  samples  were  placed  in  plastic  bags  on  ice 
as  temporary  storage.  Within  24  hours,  these  sam- 
ples were  flushed  free  of  salt  using  deionized  water, 
dissected  to  acquire  tissue  uncontaminated  by  gut 
contents  and  outside  shells,  treated  for  5  to  10 
minutes  with  5%  phosphoric  acid  to  remove  carbon- 
ates, double  rinsed  in  deionized  water,  and  oven- 
dried  at  70°C  until  brittle.  Dried  samples  were 
ground  to  a  fine  powder  with  a  mortar  and  pestle, 
packaged  in  plastic  bags,  labeled,  and  stored  for 
later  mass  spectrometer  analyses.  The  homogenized 
samples  were  combusted  at  550 °C  for  24  hours  in 
the  presence  of  CuO  in  evacuated  sealed  pyrex  tubes 
using  techniques  modified  from  Stofer  (1980).  CO2 
gas  was  analyzed  from  the  combusted  samples  on 
a  Finnigan  -  MAT  25 P  isotope  ratio  mass  spectrom- 
eter. d^^C  was  calculated  according  to  Craig  (1957) 
and  methods  and  definitions  generally  followed 
those  reviewed  by  Fry  and  Sherr  (1984).  For  small 
animals  and  all  plants,  the  entire  organism  (with 
guts  removed  where  possible)  was  used  in  analyses. 
For  large  animals,  muscle  tissue  was  removed  from 
the  body  and  used  separately  for  analyses.  In  most 
cases,  organisms  were  pooled  to  acquire  mean  d^^C 
values  for  n  individuals.  Unlike  more  complex 
marine  systems  (Fry  et  al.  1982),  our  d^^C  were 
well  separated  between  groups  of  species  and  dis- 
tinctions were  relatively  clear-cut.  Since  diversity 
was  also  relatively  low  in  the  lagoon,  d^^C  signa- 
tures in  food  pathways  based  on  the  dominant 
primary  producers  were  easily  detected.  Some 
organisms  with  known  restricted  diets,  that  were 
closely  associated  with  particular  plants  in  the 
system,  were  selected  as  controls  to  follow  trophic 
fractionation  of  d^^C.  These  included  Uca  vocator 
from  the  intertidal  forest  floor  (a  mangrove  detritus 
feeder),  Haminoea  antillarum  from  the  middle  of 
the  lagoon  (an  algae  grazer),  and  Balanns  ebumetcs 
and  Isognomon  alatus  (filter  feeders).  Based  on 


'Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


results  of  Fry  et  al.  (1984),  we  assumed  that  ^^C 
enriched  the  isotope  ratio  by  about  l^/oo  from  one 
trophic  level  to  the  next. 

RESULTS 

The  Shrimp  Community 

The  shrimp  community  composition  during  the 
study  period  was  similar  at  the  three  sampling  sites, 
except  that  Penaeus  schmitti  were  not  collected  at 
station  3  (Table  1).  Penaeus  notialis  dominated  the 
shrimp  assemblage  in  the  lagoon  (50.4%),  followed 
by  P.  subtilis  (41.1%),  and  P.  brasiliensis  (8.1%). 
Only  five  individuals  of  P.  schmitti  (0.3%)  were 
collected  in  12  months  of  sampling.  Catch  per  unit 
effort  over  time  was  highly  variable  for  each  of  the 
three  primary  species,  with  no  distinct  seasonality 
(Fig.  1).  Penaeus  subtilis,  however,  showed  a 
general  increase  in  abundance  over  the  sampling 
period.  Penaeus  brasiliensis  populations  remained 
relatively  low  and  stable  throughout  the  year  ex- 
amined. Population  and  community  structure  of  the 
penaeids  in  Laguna  Joyuda  has  been  examined  in 
detail  elsewhere  (Stoner  1988)  and  the  important 
point  to  be  made  here  is  that  the  three  most  abun- 
dant Penaeus  spp.  in  Laguna  Joyuda  are  sympatric 
in  both  time  and  space. 


Q 
UJ 

I- 
O 


o 
o 
w 

D. 
1 
DC 
I 
CO 
_l 

< 

H 

O 


7      8      9     10    11     12     1       2      3      4      5      6 
MONTHS 

Figure  1.— Abundance  of  the  three  dominant  Penaeus  species  in 
Laguna  Joyuda,  Puerto  Rico,  during  the  study  period.  The  unit 
of  effort  for  each  sampling  date  is  18  trawl  samples,  pooled  over 
all  three  stations.  P.n.  =  Penaeus  notialis;  P.s.  =  P.  subtilis;  P.b. 
=  P.  brasiliensis. 


Shrimp  Diets 

Over  1,300  Penaeus  guts  were  examined  for  the 
present  study.  The  proventriculi  of  most  individuals 
contained  freshly  consumed  food  items;  89%  of  all 


545 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


P.  notialis,  87%  of  all  P.  subtilis,  and  78%  of  all 
P.  brasiliensis  contained  food.  At  least  50%  of  all 
animals  in  any  one  size  class  contained  food  on  a 
given  sampling  date,  but  no  seasonal  or  ontogenetic 
pattern  in  empty  guts  w&s  evident. 

The  primary  dietary  components  of  all  three 
penaeids  were  amphipods,  polychaetes,  harpacticoid 
copepods,  and  detritus  (Fig.  2).  For  all  species  in- 
crease in  shrimp  size  was  correlated  with  decrease 
in  the  relative  importance  of  harpacticoid  copepods 
in  the  guts.  Other  small  taxa  such  as  nematodes  and 
foraminifera  also  decreased  with  shrimp  size.  Detri- 
tal  components  of  the  diets  remained  relatively  con- 
stant at  approximately  20  to  25%  of  the  gut  con- 
tents. Abundance  of  polychaetes  and  amphipods 
changed  relatively  little  with  size  in  P.  notialis  and 
P.  subtilis,  except  that  amphipods  increased  in  im- 
portance with  size  in  P.  subtilis  and  large  quantities 


of  amphipods  were  taken  by  the  largest  size  class. 
Cluster  analyses  for  the  diets  of  individual  species 
revealed  little  ontogenetic  variation  for  these  two 
species,  except  with  the  distinct  separation  of  the 
largest  P.  subtilis  (Fig.  2).  For  both  P.  notialis  and 
P.  subtilis,  all  size  classes  between  7  and  22  mm  CL 
were  clustered  within  similarity  indices  of  0.78. 
Although  only  three  size  classes  were  represented 
for  P.  brasiliensis,  ontogenetic  variation  in  P. 
brasiliensis  was  greater  than  in  the  other  two 
species  (Fig.  2).  Polychaete  consumption  decreased 
from  47%  of  the  diet  in  the  7  to  10  mm  class  to  22% 
in  the  15  to  18  mm  class,  while  amphipod  consump- 
tion increased  from  0  to  61%.  Detritus  consumption 
also  decreased  with  size  in  P.  brasiliensis,  contrib- 
uting to  the  low  similarity  indices  among  the  size 
classes. 
Four  major  clusters  of  shrimp  feeding  types  were 


Penaeus    juvenile 


3-6|    AM    I     PO 


HC 


I 


DE 


^(235) 


0     10    20    30    40    50    60    70    80    90   100 


E 

E, 

X 

I- 

(3 
LU 


LD 
O 
< 
CL 
< 

< 

o 


7-10 
11-14 
15-18 


Penaeus    notialis 


7-10 

AM      1 

PO      1   HC 

°^  VA 

11-14 

AM 

1      PO 

HC 

DE 

% 

15-18 

AM 

PO        1 

OE      V/y 

19-22 

AM 

PO 

1     DE     Y/^ 

(206) 

(215) 

(50) 

(8) 


0     10    20    30    40    50    60    70    80    90  100 


J- 


X 


J- 


1.0  0.9   0.8  0.7   0.6   0.5  0.4  0.3 


Penaeus   subtilis 


10    20    30    40    50    60    70    80    90  100 


1.0  0.9   0.8  0.7   0.6   0.5  0.4  0.3 


Penaeus   brasiliensis 


PO 


AM 


HC 


DE 


PO 


AM 


HC 


009) 


DE 


PO 


DE 


(82) 
](21) 


0     10    20    30    40    50    60    70    80    90  100 


X 


X 


X 


J 


1.0  0.9   0.8    0.7  0.6   0.5  0.4  0.3 


PERCENT   OF    DIET 


(N) 


SIMILARITY 


Figure  2.— Diets  of  the  three  dominant  Penaeus  species  in  Laguna  Joyuda,  Puerto  Rico,  shown  as  a  function 
of  shrimp  size.  Food  categories  are  identified  in  Table  2.  The  similarity  index  used  in  the  cluster  diagrams  is 
Czekanowski's  coefficient. 


546 


STONER  and  ZIMMERMAN:  FOOD  PATHWAY  ASSOCIATED  WITH  PENAEID  SHRIMPS 


revealed  when  the  full  matrix  of  similarity  indices, 
including  all  species  and  size  classes,  was  incor- 
porated into  a  cluster  analysis  (Fig.  3).  The  greater 
ontogenetic  variation  in  diets  of  P.  brasiliensis 
resulted  in  the  three  size  classes  for  the  species  fall- 
ing into  three  distinct  clusters,  while  all  four  size 
classes  of  P.  notialis  were  included  under  two 
clusters.  The  largest  P.  subtilis  were  clustered  with 
the  largest  P.  brasiliensis.  Except  for  P.  brasili- 
ensis, all  shrimps  between  7  and  14  mm  CL  were 
found  in  one  trophic  group  and  all  between  15  and 
22  mm  CL  were  found  in  a  second  group. 

Species  or  generic  level  identification  of  prey 
organisms  indicated  no  species-specific  differences 
among  the  diets  of  the  three  shrimp  species.  For  all 
three  species,  all  amphipods  identifiable  to  species 
were  Grandidierella  bonnieroides  and  all  identifi- 
able polychaetes  were  nereids  (probably  Nereis 
occidentalis  and  Steninonereis  martini).  In  P.  sub- 
tilis and  P.  brasiliensis,  all  harpacticoid  copepods 
were  Euterpina  spp.  In  P.  notialis,  86%  were  Euter- 
pina  spp.  and  14%  were  Microsetella  sp.  The  cala- 
noid  copepods  were  a  mixture  ofAcartia  tonsa  and 
Pseudodiaptomiis  spp. 

Animals  classified  in  groups  2  and  3  of  the  multi- 
species  cluster  (Fig.  3)  contained  sufficient  numbers 
of  individuals  to  make  seasonal  analyses  of  diets 
(Figs.  4,  5).  Although  harpacticoid  copepods  were 
taken  in  lower  amounts  by  group  3  shrimps,  by  and 
large  both  groups  showed  similar  seasonal  trends 
in  diet.  Amphipods  were  taken  in  large  numbers 
from  July  to  October  1985  and  from  March  through 
June  1986.  Polychaetes  and  harpacticoid  copepods 
were  consumed  most  abundantly  in  November 
through  March.  Consumption  of  detritus  was  rela- 
tively constant  in  both  groups,  with  slightly  higher 
detrital  intakes  in  group  2  individuals  during 
November  and  December  1984. 


SIMILARITY 


1.0          0.8           0.6           0.4            0.2 
I 1 1 1 1 1 1 1 1 — 


B-7 

Juv. 

N-7 

S-7 

B-11 

S-11 

N-11 

N-15 

S-15 

S-19 

N-19 

B-15 

S-23 


3 


Figure  3.— Cluster  diagram  for  the  diets  of 
shrimps  incorporating  all  species  and  size  classes. 
The  cluster  strategy  is  the  same  as  that  in  Figure 
2.  Food  categories  are  identified  in  Table  2. 


100 


10      11       12       1        2        3        4        5        6 

MONTHS 

Figure  4.— Diets  of  shrimp  trophic  group  2  by  sampling  date. 


Carbon  Isotopes 

The  d^^C  values  for  three  different  samples  of 
tissues  from  Penaeus  spp.  ranged  from  -15.0  to 
-18.1"/oo  (Table  3).  These  values  were  much  higher 
than  the  plankton  fraction  <35  /i  (comprised  primar- 
ily of  dinoflagellates;  -26.8  to  -27.2''/oo)  or  the 
primary  copepod  species  in  the  lagoon,  Acartia 
tonsa  (-24.0  to  -25.9°/oo).  The  d^^C  values  for  the 
shrimps  are  also  much  higher  than  the  values  for 
either  mangrove  leaves  (green  or  dead),  or  detritus 
particles  from  the  sediment,  mostly  of  mangrove 
origin.  The  only  primary  producers  with  d^^C 
values  within  the  range  of  Penaeus  spp.  were  the 
seagrass  Thalassia  testudinum  (-  16.1°/oo)  and  the 


100 


7     8     9    10    11    12    1      2     3     4     5     6 
MONTHS 

Figure  5.— Diets  of  shrimp  trophic  group  3  by  sampling  date. 

547 


FISHERY  BULLETIN:  VOL.  86.  NO.  3 


algal  mat  comprised  primarily  of  the  filamentous 
blue-green  alga  Spirulina  sp.  Because  there  are  only 
small  patches  of  T.  testudinum  in  Laguna  Joyuda 
and  the  blue-green  algae  dominated  the  lagoon  floor, 
the  data  suggest  that  the  main  source  of  carbon  for 
penaeid  shrimps  in  Laguna  Joyuda  is  benthic  blue- 
green  algae.  Blue-green  algae  also  appear  to  be  the 
primary  source  of  carbon  for  other  decapod  crusta- 
ceans in  the  lagoon  including  Callinectes  spp.  and 
hermit  crabs  (Paguridae)  (Table  3). 

The  carbon  isotope  data,  suggesting  algal  sources 
of  carbon  for  Penaeus  spp.,  are  consistent  with  the 
results  of  dietary  analyses.  The  primary  prey  of 
penaeids  were  the  amphipod  Grandidierella  bon- 
nieroides  and  capitellid  polychaetes.  The  d^^C  value 
for  G.  bonnieroides  was  within  the  range  for 
Penaeus  spp.,  -YI.TIoo.  Similarly,  when  the  bodies 
of  capitellids  were  analyzed  after  removal  of  the 
guts,  the  d^^C  value  of  -  18.8°/oo  also  agrees  with 


shrimps  after  adjusting  for  trophic  fractionation  of 
rVoo  less  (Fry  et  al.  1984).  Other  organisms  with 
d^^C  values  similar  to  that  of  blue-green  algae  were 
the  bubble  snail  Haminoea  antillarum  and  the 
bivalve  Macoma  brevifrons.  The  carbon  isotope 
ratios  of  these  benthic  feeders  were  more  negative 
than  Spirulina  (-1  A. V'/(m),  implying  modification  of 
d^^C  values  from  other  sources;  however,  the  major 
input  appears  to  be  from  blue-green  alga. 

By  contrast,  organisms  associated  with  the  man- 
grove forest,  Uca  vocator  (-23.0Voo)  and  Aratus 
pisonii  (-23.3*'/oo),  closely  resembled  carbon 
isotope  ratios  of  detritus  (-22.9  to  -25.0°/oo). 
Moreover,  the  <35  fi  plankton  fraction  (-26.8  to 
-27.0"/oo)  and  associated  grazers,  Acartia  (-24.0 
to  -25.9%o),  Balanus  (-24.0''/oo),  and  Isognomon 
(-24.4°/oo),  were  not  separable  from  the  mangrove 
group.  These  data  indicate  that  mangrove  carbon 
is  likely  being  incorporated  into  plankton-based  food 


Table  3. — Carbon  isotope  ratios  in  organisms  associated  with  the  penaeid  shrimp  food  web  in  Laguna 

Joyuda,  Puerto  Rico. 


Number 

Tissue  or 

of  pooled 

Date  of 

Organisms 

composition 

indiv. 

collection 

6'^C 

Plankton 

<35fi  fraction 

— 

9/29/83 

-26.8  to  -27.2 

Acartia  tonsa 

whole  bodies 

500 

1/21/81 

-25.9 

Acartia  tonsa 

whole  bodies 

500 

9/8/83 

-25.2 

Acartia  tonsa 

whole  bodies 

500 

9/27/83 

-24.0 

Macroalgae 

Spirulina  sp. 

entire  filaments 

— 

2/14/83 

-14.2 

Caulerpa  sertularoldes 

entire  alga 

— 

9/29/83 

-20.2 

Seagrass 

Thalassia  testudinum 

green  leaves 

— 

9/29/83 

-16.1 

Mangroves 

Avicennia  germinans 

roots 

— 

2/14/84 

-24.0 

Rhizophora  mangle 

green  leaves 

— 

9/24/81 

-29.2 

Rhizophora  mangle 

dead  leaves 

— 

2/14/84 

-27.3 

Detritus 

Particules  from  the  sediment 

— 

9/24/81 

-22.9  to  -25.0 

Polychaetes 

Capitellidae 

body  without  gut 

13 

9/24/81 

-18.8 

Capitellidae 

whole  bodies 

10 

2/14/81 

-23.1 

Capitellidae 

whole  bodies 

10 

9/30/81 

-22.0 

Capitellidae 

whole  bodies 

10 

2/14/84 

-22.9 

Nereidae 

whole  bodies 

2 

2/14/84 

-21.6 

t^ollusca 

Haminoea  antillarum 

whole  bodies 

1 

9/24/81 

-15.8 

Isognomon  alatus 

whole  bodies 

6 

9/24/81 

-24.4 

Macoma  brevifrons 

whole  bodies 

6 

9/24/81 

-18.8 

Crustacea 

Aratus  pisonii 

leg  muscle 

10 

9/30/81 

-23.3 

Balanus  eburneus 

whole  bodies 

20 

9/24/81 

-24.0 

Callinectes  danae 

claw  muscle 

2 

2/14/84 

-15.4 

Callinectes  sapidus 

claw  muscle 

1 

2/14/84 

-16.4 

Grandidierella  bonnieroides 

whole  bodies 

52 

2/14/84 

-17.7 

Pagurus  sp. 

leg  muscle 

3 

2/14/84 

-16.2 

Penaeus  notialis 

tail  muscle 

12 

9/31/81 

-18.1 

Penaeus  notialis 

tail  muscle 

10 

2/14/84 

-15.4 

Penaeus  subtilis 

tail  muscle 

10 

2/14/84 

-15.0 

Petrolisthes  sp. 

whole  bodies 

12 

9/24/81 

-23.5 

Uca  vocator 

leg  muscle 

10 

9/30/81 

-23.0 

548 


STONER  and  ZIMMERMAN:  FOOD  PATHWAY  ASSOCIATED  WITH  PENAEID  SHRIMPS 


chains  in  the  lagoon.  This  can  be  supported  using 
Acartia  as  a  link,  since  the  copepod  is  known  to  feed 
on  detritus  particles  and  because  the  growth  of 
Acartia  is  improved  with  detritus  is  included  in  the 
diet  (Roman  1984).  Suspended  detritus  particles 
from  mangroves  were  a  component  of  our  <35  fi 
plankton  fraction,  suggesting  availability  to  plank- 
tonic  consumers. 

DISCUSSION 

Early  studies  of  penaeid  diets  led  to  the  general 
conclusion  that  the  shrimps  were  largely  detritivor- 
ous  with  incidental  amounts  of  animal  or  plant 
material  in  the  guts  (Williams  1955;  Darnell  1958; 
Odum  and  Heald  1972).  Dall  (1968)  concluded  that 
several  Australian  penaeids  were  not  predators,  but 
consumers  of  small-sized  and  disabled  animals.  Al- 
though penaeid  shrimps  are  known  to  sort  sediments 
for  organic  particles  with  their  delicate  pereiopods 
(Dall  1968;  Lindner  and  Cook  1970)  it  is  now  ap- 
parent that  penaeid  shrimps  are  capable  of  taking 
prey  organisms  such  as  large  polychaetes,  as  well 
as  the  more  difficult  prey  such  as  gastropods  and 
bivalves,  caridean  shrimps,  crabs,  echinoderms,  and 
even  fishes  (Moriarty  1977;  Marte  1980;  Leber 
1983).  Lindner  and  Cook  (1970)  reported  that 
Penaeus  setiferus  is  cannibalistic  at  times.  The  rela- 
tively constant  low  amount  of  detrital  particles  in 
the  guts  of  shrimp  from  Laguna  Joyuda  suggests 
that  the  less  readily  digestible  detritus  is  taken  in- 
cidentally with  animal  prey  or  as  a  response  to  low 
prey  abundance.  In  addition,  Gleason  and  Zimmer- 
man (1984)  showed  that  nematodes,  oligochaetes, 
polychaetes,  and  copepods  were  stripped  from 
detritus  by  P.  aztecits  during  feeding.  Reports  of 
shrimp  filled  with  unrecognizable  debris  assumed  to 
be  detritus  may  be  a  consequence  of  actual  detritus 
consumption  or  incomplete  development  of  methods 
sufficient  to  make  animal  remains  identifiable. 

Despite  considerable  attention  given  to  feeding  in 
the  commercially  significant  penaeids,  relatively  few 
investigators  have  examined  ontogenetic  variation 
in  diets.  In  this  study,  even  within  juvenile  size 
classes,  there  were  clear  patterns  of  dietary  change 
with  shrimp  size.  All  three  of  the  subject  species 
abandoned  smaller  prey  organisms  such  as  foramini- 
fera,  nematodes,  and  harpacticoid  copepods  in  favor 
of  amphipods,  polychaetes,  and  shrimp  as  the  pred- 
ators became  larger.  Similar  findings  were  reported 
by  Leber  (1983)  for  P.  duorarum.  These  ontogenetic 
shifts  in  prey  are  undoubtedly  related  to  increasing 
size  of  the  chelae  and  mouth  parts  and  must  be  con- 
sidered in  any  ecological  interpretation  of  trophic 


position;  Moriarty  (1977)  suggested  that  the  great 
opportunism  of  penaeid  shrimps  precluded  their 
being  placed  in  one  trophic  group  throughout  their 
life  cycle. 

On  the  other  hand,  with  the  exception  of  acceler- 
ated ontogenetic  shifts  in  the  diets  of  P.  brasilien- 
sis,  interspecific  variation  in  feeding  in  Laguna 
Joyuda  were  relatively  minor.  Despite  high  abun- 
dance and  great  temporal  and  spatial  overlap  in  the 
Penaeus  spp.  of  the  lagoon  (Stoner  1988),  coupled 
with  very  low  biomass  values  for  macrofauna  (<2 
g  dry  wt/m^),  there  is  no  evidence  for  resource  par- 
titioning among  the  grooved  shrimps. 

Seasonal  diets  in  Penaeus  spp.  were  coincident 
with  seasonal  trends  in  the  abundance  of  major  prey 
organisms.  In  the  lagoon,  the  one  important  amphi- 
pod  species,  Grandidierella  bonnieroides,  demon- 
strated maxima  between  July  and  September  and 
again  from  May  to  June;  this  corresponded  with 
maximum  amphipod  consumption  between  July  and 
October  and  March  through  June  in  the  same  year 
as  benthic  studies.  Polychaete  consumption  was 
highest  between  November  and  March  (particular- 
ly in  the  group  3  shrimps),  corresponding  with  the 
October  to  April  peak  in  capitellid  abundance  in  the 
lagoon.  Consequently,  the  oscillation  in  polychaete 
and  amphipod  feeding  appears  to  be  related  to  the 
availability  of  foods. 

The  hypothesis  that  mangrove  estuaries  are  fueled 
primarily  by  carbon  from  mangrove  detritus  has 
become  established  from  the  pioneering  work  on 
mangrove-associated  food  webs  conducted  in  the 
North  River  estuary  of  south  Florida  (Odum  and 
Heald  1972, 1975).  Mangrove  litter  inputs  to  Laguna 
Joyuda  are  high  (Levine  1981),  the  sediments  are 
rich  in  organic  content,  and  detritus  comprised  a 
portion  of  the  gut  contents  of  juvenile  shrimp.  It  is 
unlikely,  however,  that  a  large  amount  of  carbon 
derived  from  detritus  or  detritus-associated 
microbes  contributes  in  a  large  way  to  the  tissues 
of  the  shrimp  in  the  lagoon.  In  fact,  the  only  organ- 
isms which  had  carbon  isotope  ratios  similar  to  that 
of  detritus  were  those  normally  found  in  direct 
association  with  the  trees  such  as  fiddler  and  man- 
grove crabs.  The  d^^C  values  for  shrimp  in  Laguna 
Joyuda  were,  in  fact,  very  similar  to  values  for 
penaeids  from  the  open  waters  of  the  Gulf  of  Mex- 
ico (Fry  and  Parker  1979). 

Benthic  algal  primary  production  in  Laguna 
Joyuda  is  probably  highly  significant  because  car- 
bon isotope  ratios  in  the  algae  and  shrimp  were 
similar.  Gleason  (1986)  also  found  that  juvenile  P. 
aztecu^  penaeids  in  a  Galveston  Bay  salt  marsh 
derived  their  carbon  from  blue-green  algae,  green 


549 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


algae,  and  epiphytes  of  salt  marsh  grasses,  not  from 
Spartina  detritus.  Algal  foods  also  proved  to  be  the 
primary  source  of  carbon  for  penaeids  in  Georgia 
marshes  (Hughes  and  Sherr  1983)  and  in  P.  duora- 
rum  inhabiting  seagrass  beds  in  the  Gulf  of  Mexico 
(Leber  1983)  where  food  webs  have  long  been  con- 
sidered detritus  based.  The  significance  of  algal  pro- 
duction in  mangrove  areas  has  been  pointed  out  by 
Rodelli  et  al.  (1984).  They  concluded  that  both 
mangrove  and  algal  carbon  were  utilized  by  most 
of  animals  in  a  Malaysian  swamp,  but  virtually  no 
animals  collected  at  distances  >2  km  from  the 
swamp  contained  mangrove-derived  carbon.  To  this 
date,  there  is  little  evidence  to  suggest  that  natant 
species  such  as  fishes  and  decapod  Crustacea  can 
use  detritus  as  a  primary  food  source  even  if 
microbially  enriched  (Boesch  and  Turner  1984). 

Localities  where  mangroves  grow  often  support 
a  variety  of  other  primary  producers,  and  variation 
in  the  relative  significance  of  detrital  and  algal  car- 
bon sources  may  be  associated  with  tidal  amplitude 
and  flushing.  Laguna  Joyuda,  with  microtidal  influ- 
ences, appears  to  be  fueled  by  algal  carbon  where- 
as shrimp-producing  mangrove  areas  in  Ecuador 
have  meso-  and  macrotidal  regimes  and  no  apparent 
algal  growth  (Zimmerman,  pers.  observ.).  That  man- 
groves provide  critical  substratum  and  protective 
cover  for  a  large  number  of  organisms  is  undisputed; 
however,  the  assumed  significance  of  mangrove- 
derived  detritus  should  be  examined  further. 


ACKNOWLEDGMENTS 

This  research  was  supported  by  the  Office  of  Sea 
Grant,  NOAA  (Grant  no.  R/A-01-2),  a  grant  from 
the  National  Science  Foundation  (No.  R-II-8610677), 
and  funding  from  the  University  of  Puerto  Rico  to 
the  Center  for  Energy  and  Environment  Research. 
D.  Corales  participated  in  the  field  work,  along  v^ath 
G.  Owen  and  1.  Sanders.  B.  A.  Buchanan  identified 
the  shrimps  collected  and  assisted  in  the  prepara- 
tion of  figures.  L.  L.  Cruz  conducted  all  of  the  gut 
analyses  and  T.  Robles  assisted  in  manuscript  prep- 
aration. W.  J.  Richards  and  B.  A.  Buchanan  pro- 
vided helpful  criticisms  of  the  manuscript. 

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1984.    Dependence  of  fishery  species  on  salt  marshes:  the  role 
of  food  and  refuge.    Estuaries  7:460-468. 
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1957.    An  ordination  of  the  upland  forest  communities  of 
southern  Wisconsin.    Ecol.  Monogr.  27:325-349. 


Carr,  W.  E.  S.,  and  C.  a.  Adams. 

1972.  Food  habits  of  juvenile  marine  fishes:  evidence  of  the 
cleaning  habit  in  the  leatherjack,  Oligoplites  saurus,  and  the 
spottail  pinfish,  DiplodxLS  holbrooki.  Fish.  Bull.,  U.S.  70: 
1111-1120. 

Chong,  V.  C,  AND  A.  Sasekumar. 

1981.  Food  and  feeding  habits  of  the  white  prawn  Penaeiis 
merguiensis.    Mar.  Ecol.  Prog.  Ser.  5,  p.  185-191. 

Craig,  H. 

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STONER  and  ZIMMERMAN:  FOOD  PATHWAY  ASSOCIATED  WITH  PENAEID  SHRIMPS 


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551 


THE  EFFECT  OF  THE  ECTOPARASITIC  PYRAMIDELLID  SNAIL, 

BOONEA  IMPRESSA,  ON  THE  GROWTH  AND  HEALTH  OF 

OYSTERS,  CRASSOSTREA  VIRGINICA,  UNDER  FIELD  CONDITIONS 

Elizabeth  A.  Wilson,^  Eric  N.  Powell/  and  Sammy  M.  Ray^ 

ABSTRACT 

Boonea  (=  Odostomia)  impressa  are  contagiously  distributed  on  oyster  reefs  so  that  some  oysters  are 
parasitized  more  than  others.  The  parasite's  mobihty  and  the  abihty  of  oysters  to  recover  from  snail 
parasitism  may  be  important  in  assessing  the  impact  of  parasitism  on  oyster  populations.  During  a  4-week 
exposure  period  in  the  field,  B.  impressa  reduced  American  oyster,  Crassostrea  virginica,  growth  rate 
and  increased  the  intensity  of  infection  by  the  protozoan,  Perkinsus  ( =  Dermocystidium)  marinus,  but 
produced  few  changes  in  the  oyster's  biochemical  composition  because,  although  net  productivity  was 
reduced,  the  oysters  retained  a  net  positive  energy  balance  (assimilation  >  respiration).  During  a  4-week 
recovery  period,  growth  rate  returned  to  normal  (control)  levels,  but  infection  by  P.  ynarinv^  continued 
to  intensify  in  previously  parasitized  oysters  kept  B.  impressa-tree.  Most  changes  in  biochemical  com- 
position during  recovery,  including  increased  lipid  and  glycogen  contents,  could  be  attributed  to  the  con- 
tinuing increase  in  infection  intensity  of  P.  marinus.  Consequently,  the  temporal  stability  and  size  of 
snail  patches,  particularly  as  they  regulate  infection  by  P.  marinus,  may  be  the  most  important  factors 
influencing  the  impact  of  B.  impressa  on  oyster  reefs. 


Parasitism  can  be  an  important  factor  affecting  the 
population  dynamics  (Wickham  1986;  Brown  and 
Brown  1986;  Rabat  1986)  and  health  (Brockelman 
1978;  Mohamed  and  Ishak  1981;  Ford  1986)  of  host 
species.  Three  parasites  are  known  to  be  especially 
important  in  oysters.  Perkinsus  (=  Dermocysti- 
dium) marinus,  Haplosporidium  nelsoni  (MSX),  and 
Boonea  ( =  Odostomia)  impressa  detrimentally  af- 
fect oyster  growth,  health,  and  biochemical  composi- 
tion (Mengebier  and  Wood  1969;  Feng  et  al.  1970; 
Soniat  and  Koenig  1982;  White  et  al.  1984;  Ford 
1986;  Ward  and  Langdon  1986;  White  et  al.  1988, 
in  press). 

The  pyramidellid  gastropod,  Boonea  impressa,  is 
one  of  a  widely  distributed  group  of  parasitic,  marine 
opisthobranchs  (Fretter  and  Graham  1949;  Fretter 
1951;  Allen  1958).  Boonea  impressa  removes  nutri- 
ents directly  from  its  host  by  piercing  the  flesh  with 
a  hollow  stylet  and  sucking  the  body  fluids  using  a 
buccal  pump  (Fretter  and  Graham  1949;  Fretter 
1951;  Allen  1958).  The  most  common  host  of  5.  im- 
pressa is  Crassostrea  virginica  (Hopkins  1956;  Allen 
1958;  Wells  1959)  but,  like  other  odostomians,  it  is 
not  entirely  host  specific  (Wells  1959;  Robertson 
1978;  Robertson  and  Mau-Lastovicka  1979).  Found 


'Department  of  Oceanography,  Texas  A&M  University,  College 
Station,  TX  77843. 

^Department  of  Marine  Biology,  Texas  A&M  University  at 
Galveston,  Galveston,  TX  77550. 


Manuscript  accepted  March  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


abundantly  on  oyster  reefs  from  Massachusetts  to 
the  Gulf  of  Mexico,  B.  impressa  has  been  reported 
in  numbers  as  high  as  100  per  oyster  (Hopkins  1956). 

Under  laboratory  conditions,  B.  impressa  reduced 
oyster  growth  rates  as  the  result  of  both  direct 
removal  of  assimilated  carbon  from  the  oyster  and 
direct  interference  with  the  oyster's  ability  to  feed 
(White  et  al.  1984, 1988;  Ward  and  Langdon  1986). 
Not  surprisingly,  parasitism  by  B.  impressa  produc- 
ed changes  in  the  biochemical  composition  of  oyster 
tissue.  Parasitism  by  15  snails,  a  relatively  high  field 
density  found  in  dense  snail  patches  decreased  car- 
bohydrate and  free  amino  acid  content  and  increased 
lipid  content  of  mantle  tissue.  Reproduction  was  af- 
fected as  well  (White  et  al.  in  press). 

Perkinsus  marinus  is  an  important  cause  of  mor- 
tality of  oysters  in  the  Gulf  of  Mexico  (Mackin  1962; 
Ray  1966a;  Hofstetter  1977).  Sublethal  effects  in- 
clude reduced  growth  (Menzel  and  Hopkins  1955; 
Ray  et  al.  1953)  and  changes  in  biochemical  com- 
position (Soniat  and  Koenig  1982;  White  et  al.  in 
press).  Perkinsus  marinus  can  be  transmitted  from 
one  oyster  to  another  through  the  water  (Ray  1954; 
Mackin  1962;  Andrews  1965)  or  by  B.  impressa 
feeding  (White  et  al.  1987).  The  intensity  of  infec- 
tion by  P.  marinus  is  also  increased  in  B.  impressa- 
parasitized  oysters  (White  et  al.  1987). 

Usually  stress  affects  organisms  by  altering  nor- 
mal metabolic  activity.  Many  organisms  may  be  able 

553 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


to  return  to  normal  metabolic  condition  after  the 
stress  is  removed  (Portner  et  al.  1979;  Pickering  et 
al.  1982;  Kendall  et  al.  1984).  This  ability,  termed 
recovery,  is  an  important  adaptation  to  changes  in 
the  natural  environment.  Recovery  is  not  always 
complete  nor  does  it  occur  over  relatively  short  time 
scales  in  all  cases.  The  time  required  for  recovery 
varies  depending  on  the  parameter  being  studied, 
the  stress  that  was  applied,  and  the  species  involved 
(Kendall  et  al.  1984;  Haux  et  al.  1985;  Neff  et  al. 
1985).  Apparently  deleterious  effects  occurring  after 
exposure,  during  the  so-called  recovery  period,  are 
well  described  (e.g.  Kendall  et  al.  1984;  Powell  et 
al.  1984).  White  et  al.  (1984)  showed  that  C. 
virginica  could  attain  normal  growth  rates  within 
one  week  after  B.  impressa  were  removed. 
However,  growth  rates  frequently  return  to  normal 
more  rapidly  than  other  metabolic  parameters  (Ken- 
dall et  al.  1984).  Boonea  impressa  are  extremely 
mobile  and  are  more  contagiously  distributed  than 
their  hosts,  so  that  some  oysters  are  highly  para- 
sitized while  others  remain  parasite  free  (Powell  et 
al.  1987).  Individual  B.  impressa  change  hosts  often 
but  typically  move  between  existing  aggregates 
(Wilson  et  al.  in  press).  Therefore,  refugia  from 
parasitism  may  exist  and  recovery  may  be  impor- 
tant in  assessing  the  overall  impact  of  B.  impressa 
on  oysters. 

Stress,  produced  by  laboratory  conditions,  fre- 
quently accompanies  laboratory  experimentation 
(e.g.,  Koenig  et  al.  1981;  Powell  et  al.  1984;  Kukal 
and  Kevan  1987).  The  effect  of  B.  impressa  on  C. 
virginica  has  been  assessed  primarily  through 
laboratory  experimentation.  Consequently,  we  ex- 
amined the  effect  of  B.  impressa  on  C.  virginica 
under  field  conditions  and  assessed  the  ability  of 
oysters  to  recover  normal  growth  rates  and  bio- 
chemical composition  once  snail  parasitism  ceased. 

MATERIALS  AND  METHODS 

Field  Study 

Oysters  and  snails  used  in  this  study  were  col- 
lected at  Goose  Island  State  Recreation  Area  near 
Rockport,  TX.  The  oysters  were  weighed  on  a 
Mettler  balance  using  the  underwater  m.ethod  of 
Andrews  (1961).  Fifteen  oysters  (precontrols)  were 
sacrificed  to  define  the  biochemical  composition  of 
the  oysters  and  Perkinsus  marinus  levels  that  ex- 
isted naturally  at  the  collection  site.  The  rest  of  the 
oysters  were  placed  in  semi-enclosed  plexiglass 
domes  (see  figure  2  in  Kendall  et  al.  1984  for  descrip- 
tion) in   a  tidal   creek   near  the   Aransas  Pass 


Lighthouse  on  Lydia  Ann  Channel,  near  Port  Aran- 
sas, TX.  The  domes  allowed  water  to  circulate 
over  the  oysters,  while  excluding  such  large 
predators  as  oyster  drills  and  crabs.  Boonea  im- 
pressa, however,  could  readily  move  into  or  out  of 
the  domes. 

Two  of  the  four  domes  (20  oysters  per  dome)  con- 
tained oysters  exposed  to  B.  impressa  at  a  concen- 
tration of  10  snails  per  oyster,  a  level  of  parasitism 
commonly  observed  on  reefs  in  the  collection  area 
(White  et  al.  1984).  The  domes  were  positioned  so 
that  the  probability  of  snails  moving  from  the  ex- 
posure domes  with  parasitized  oysters  to  the  con- 
trol domes  was  minimized  (Fig.  1).  Snails  on  each 
experimental  oyster  were  counted  twice  weekly  for 
4  weeks.  No  B.  impressa  were  ever  found  on  con- 
trol oysters.  Boonea  impressa  did  emigrate  from  the 
exposure  domes,  however,  so  snails  were  added  as 
needed  to  maintain  the  10:1,  snaihoyster  ratio.  Con- 
trol oysters  were  handled  the  same  as  experimentals 
each  week  in  an  effort  to  minimize  differential  ef- 
fects caused  by  handling  stress  (see  Pickering  et  al. 
1982;  Andrews  and  Hewatt  [1957]  were  unable  to 
find  any  effect  of  handling  on  P.  marinus  infection 
in  oysters). 

At  the  end  of  4  weeks,  the  oysters  were  reweighed 
and  half  from  each  dome  were  sacrificed.  The  re- 
maining oysters  were  replaced  in  the  field  for  a  4-wk 
recovery  period  without  B.  impressa.  All  B.  im- 
pressa were  removed  from  the  previously  para- 
sitized oysters  by  hand  prior  to  replacement.  The 
domes  were  visited  twice  weekly  and  each  oyster 
handled  as  before.  No  B.  impressa  were  found  on 
the  oysters  during  the  recovery  period. 

Laboratory  Analysis 

Perkinsus  marinus  infection  was  measured  in 
each  oyster  by  incubating  a  small  piece  of  mantle 
tissue  in  thioglycollate  medium  by  the  method  of  Ray 
(1966b).  Intensity  of  infection  was  based  on  a  semi- 
quantitative 0  to  5  rating  assigned  during  micro- 
scopic inspection  of  the  tissue  after  treatment  with 
Lugol's  solution  (Mackin  1962).  Small  pieces  of 
gonadal  tissue  were  preserved  in  Bouin's  fixative, 
sectioned  and  stained  in  0.5%  toluidine  blue  (Preece 
1972)  for  gonadal  analysis.  Mantle  cavity  volume 
was  determined  by  filling  the  shells  with  silicon 
caulking.  Oyster  growth,  as  expressed  by  shell  de- 
position, was  measured  using  the  underwater  weigh- 
ing method.  Condition  index  was  derived  by  divid- 
ing the  total  lyophilized  dry  weight  by  the  mantle 
cavity  volume  (Lawrence  and  Scott  1982). 

The  mantle  and  adductor  muscle  from  each  oyster 


554 


WILSON  ET  AL.:  EFFECT  OF  SNAIL  ON  OYSTERS 

TREATMENTS:  4  WEEK  EXPERIMENTAL  PERIOD 


Unparasitized  Controls 


Parasitized 


4  WEEK  RECOVERY  PERIOD 


Recovery  Control 


Previously  Parasitized 
I 1 


Figure  1.— Position  of  plexiglass  domes  during  4-wk  experimental  period  and  during  4-wk 

recovery  period. 


were  frozen  immediately  on  dry  ice  and  kept  at 
-40°C  until  lyophilized.  Prior  to  biochemical  anal- 
ysis, lyophilized  tissues  were  weighed  and  homog- 
enized on  ice.  Total  lipids  were  isolated  from  a  por- 
tion of  the  homogenate  using  the  water:methanol: 
chloroform  method  of  Folch  et  al.  (1957)  with  a 
modified  ratio  of  0.8:2.1.  This  isolation  produced  a 
two  phase  system  and  an  insoluble  pellet  after  cen- 
trifugation  in  the  cold.  The  pellet  was  used  for  pro- 
tein and  glycogen  assays.  The  water  phase  was  used 
for  amino  acid  analysis.  The  organic  phase  was 
divided  and  dried  under  Ng  gas  at  40°C.  One  half 
was  used  to  determine  lipid  phosphate  concentra- 
tion by  the  spectrophotometric  method  of  White  et 
al.  (1979).  The  other  half  was  dissolved  in  chloro- 
form to  which  nonadecanoic  acid  was  added  as  an 
internal  standard.  The  redissolved  lipids  were  frac- 
tionated on  a  silicic  acid  (Unisil,^  100-200  mesh) 
column.  Neutral  lipids  were  recovered  by  eluting 
with  10  times  the  column  volume  of  chloroform.  The 
chloroform  was  removed  under  N2  at  40°C  ((rehron 
and  White  1982).  The  resulting  chloroform  fraction, 
containing  fatty  acid  methyl  esters,  was  analyzed 
by  gas  chromatography  using  a  capillary,  nonpolar, 
methyl  silicone  high  performance  column  and  flame 
ionization  detector. 

The  amino  acids  were  analyzed  on  a  Dionex  3000 
amino  acid  analyzer.  Because  residual  chloroform 
interfered  with  the  analysis,  a  second  extraction  was 
performed  on  the  sample  in  the  cold  using  a  chloro- 
form:water  ratio  of  1:3;  a-amino-n-butyric  acid  (2.5 
fimole  •  mL~^  sample)  was  used  as  an  internal 
standard.  The  amino  acids  accounting  for  the  bulk 
of  the  free  amino  acid  (FAA)  pool,  taurine,  hypo- 


'Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


taurine,  aspartic  acid,  serine,  threonine,  glutamine, 
glutamate,  glycine,  and  alanine,  were  separated  us- 
ing a  lithium  citrate  buffer  and  measured  using 
o-phthalaldehyde  as  the  detecting  compound. 

Total  soluble  protein  was  estimated  by  Peterson's 
(1977)  modification  of  the  Lowry  method.  Protein 
was  precipitated  using  a  final  concentration  of  10% 
trichloroacetic  acid  in  the  cold.  After  centrifugation 
at  4°C  the  resultant  pellets  were  resuspended 
in  50:50,  10%  SDS:0.8N  NaOH  for  30  minutes. 
Replicate  samples  were  centrifuged  and  analyzed 
spectrophotometrically  for  protein  concentration. 
Bovine  serum  albumin  (Sigma)  was  used  as  the 
standard. 

Glycogen  was  degraded  to  glucose  enzymatically 
with  amyloglucosidase  (Carr  and  Neff  1984).  After 
preincubation  with  amyloglucosidase,  glucose  was 
measured  using  the  glucose  oxidase-peroxidase  pro- 
cedure (Sigma  glucose  kit)  (Roehrig  and  Allred 
1974).  Rat  liver  glycogen  (Sigma)  was  used  as  a 
standard. 

Statistical  Analysis 

To  assess  the  effect  of  Boonea  impressa  on  the 
oysters  during  the  4-wk  exposure  period,  the  level 
of  snail  parasitism  for  each  oyster  had  to  be  deter- 
mined. Because  the  number  of  snails  on  each  oyster 
was  counted  only  every  third  day,  the  total  number 
of  snails  that  parasitized  each  oyster  was  estimated 
by  assuming  that  the  same  number  of  snails  were 
present  on  days  between  counts  as  found  on  the 
previous  visit.  The  total  number  of  snail-days  per 
oyster,  the  sum  of  the  number  of  snails  present  on 
each  day  during  the  4-wk  exposure,  will  be  referred 
to  as  the  snail  scale.  For  example,  during  the  first 
week  of  the  exposure  period,  one  oyster  had  15 


555 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


snails  on  Monday,  10  on  Wednesday,  and  4  on  Satur- 
day; therefore  Tuesday  was  assigned  15  snails, 
Thursday  and  Friday  10  snails,  and  the  total  for  the 
week  was  64  snail-days. 

Except  where  noted  in  the  text,  results  were 
analyzed  by  multiple  analysis  of  covariance 
(MANCOVA)  using  ranked  data  followed  by  Dun- 
can's multiple  range  tests  (a  =  0.05)  to  locate  sig- 
nificant differences  within  the  MANCOVA.  Mantle 
cavity  volume  was  used  as  the  covariate  for  com- 
paring levels  of  P.  marinus  infection  intensity,  dry 
weight,  and  shell  weight  gain  between  treatment 
groups  (e.g.,  parasitized  and  control  oysters). 
Similar  tests  comparing  biochemical  parameters 
between  treatment  groups  included  the  intensity  of 
P.  marinus  infection  and  tissue  dry  weight  as  co- 
variates.  When  the  requirement  of  parallelism  was 
not  met,  the  MANCOVA  was  modified  as  described 
by  Smith  and  Coull  (1987).  Perkinsus  marinus  in- 
fection intensity  was  used  as  both  a  dependent  and 
independent  variable  because,  although  B.  impressa 
can  influence  the  intensity  of  P.  marinus  infection 
(White  et  al.  1987),  P.  marinus  itself  can  affect  the 
biochemical  composition  of  oysters  (Soniat  and 
Koenig  1982;  White  et  al.  in  press).  Only  parasitized 
oysters  (or  those  recovering  from  parasitism)  were 
used  in  analyses  of  the  effect  of  snail  scale  (intensity 
of  parasitism). 

The  FAA  pool  was  analyzed  three  ways:  1)  the 
entire  pool,  2)  the  pool  minus  taurine  and  hypo- 
taurine  because  these  are  the  only  amino  acids  not 
found  in  protein,  and  3)  after  exclusion  of  the  major 
components  (taurine,  hypotaurine,  glycine,  and  ala- 
nine) so  that  changes  in  the  lesser  constituents  of 
the  pool  could  be  examined. 

All  analyses  for  the  4-wk  exposure  period  used 
MANCOVA  analyses  with  nested  variables,  which 
took  into  account  which  of  the  4  domes  the  oysters 
were  in  during  the  exposure  period.  Overall,  signif- 


icant differences  in  biochemical  composition  (i.e., 
amino  acid  content,  glycogen,  protein,  etc.)  between 
the  2  nonparasitized  domes  or  between  the  2  snail 
parasitized  domes  did  not  occur  more  frequently 
than  expected  by  chance  (Binomial  Test,  a  =  0.05). 
Therefore,  the  two  equivalently  treated  domes  of 
each  treatment  group  (Fig.  1)  were  lumped  together 
for  comparison  with  precontrol  and  recovery 
oysters.  Nevertheless,  the  experimental  design 
represents  a  case  of  pseudoreplication;  hence  the 
caveats  of  Hurlbert  (1984)  should  be  considered 
when  reviewing  the  statistical  analysis. 

RESULTS 

Growth,  Perkinsus  marinus  Intensity, 
and  Reproduction 

Boonea  impressa  affected  oyster  growth  rate,  the 
intensity  of  infection  by  P.  marinus,  and  reproduc- 
tive state.  The  mean  initial  shell  weights  of  the 
precontrol,  control,  and  parasitized  groups  were  not 
significantly  different  from  each  other.  By  the  end 
of  the  4-wk  exposure  period,  both  parasitized  and 
unparasitized  oysters  had  gained  weight,  but  oysters 
parasitized  by  B.  impressa  gained  significantly 
less  weight  than  unparasitized  oysters  (Table  1). 
Oysters  with  more  snails  typically  gained  less  weight 
than  oysters  with  fewer  snails.  The  relationship 
between  the  intensity  of  B.  impressa  parasitism 
(snail  scale)  and  weight  gain  among  parasitized 
oysters  was  significant  (Spearman's  rank,  P  =  0.03; 
weight  gain  normalized  to  initial  weight,  P  =  0.001, 
Fig.  2). 

Mantle  cavity  volume  did  not  vary  among  any  of 
the  treatment  or  recovery  groups.  Condition  index 
was  not  significantly  different  between  treatment 
groups  or  between  recovery  groups.  Condition  in- 
dex was  significantly  higher  in  the  two  recovery 


Table  1  .—Mean  and  standard  deviations  for  initial  shell  weight  (g)  and  average  shell  weight  gain  per  oyster  during 
the  4-wk  exposure  period  and  4-wk  recovery  period.  Significance  levels  (sig.)  from  Duncan's  multiple  range  test 
(o  =  0.05).  A  test  was  restricted  to  a  single  column.  Groups  having  the  same  letter  within  a  column  are  not  significantly 
different. 


Initial  weight 

Weight  gained 
during  4-wk  exposure 

Mean  ±  SD      Sig. 

Weight  gained 
during  4-wk  recovery 

Group 

Mean  ±  SD        Sig. 

Mean  ±  SD      Sig. 

Precontrol  (n  =  15) 
Treatment 

Control  (n  =  40) 

Parasitized  (n  =  40) 
Recovery 

Control  (n  =  6) 

Previously  parasitized  (n  = 

15) 

22.82  ±   12.16       A 

17.16  ±     8.48      A 
16.84  ±     7.47       A 

3.49  ±1.21       A 
2.54  ±1.31       B 

2.16  ±  0.73       B 
2.89  ±1.05      A 

556 


WILSON  ET  AL.:  EFFECT  OF  SNAIL  ON  OYSTERS 

Parasitized 


U.4J) 

" 

• 

0.40 

- 

0.35 

- 

O) 

0.30 

• 

S 

• 

c 

CO 

O 

0.25 

• 

0.20 

• 

• 

o 

0.15 

• 

• 

• 

•          • 

• 

0.10 

•                   • 
•    •              • 

0.05 

•                    • 

I                                    1                                   I 

1                                   ' 

Previously  Parasitized 

0.45 

• 
• 

0.40 

0.35 

• 

O) 

0.30 

• 
• 

2 

c 
CO 
(3 

*-* 

SI 

0.25 

• 
• 

(f) 

o 

0.20 
0.15 

• 

0.10 

• 
• 

•                 • 

0.05 

• 

1 1 1 1 1 

100  200  300 

Snail  Scale 


400 


500 


100  200  300 

Snail  Scale 


400 


500 


Figure  2.— Left:  Weight  gain  (g)  per  g  initial  weight  of  individual  snail-parasitized  oysters  after  the  4-wk  experimental  period  as  a  func- 
tion of  the  level  of  Boonea  impressa  parasitism,  or  snail  scale.  Right:  Weight  gain  (g)  per  g  initial  weight  of  individual  oysters  after 
the  4-wk  recovery  period  as  a  function  of  the  level  of  B.  impressa  (snail  scale)  during  the  4-wk  treatment  period. 


groups  than  in  the  treatment  and  precontrol  groups 
(Table  2). 

During  the  recovery  period,  when  all  oysters  were 
parasite-free,  the  previously  parasitized  oysters 
(those  with  snails  during  the  treatment  period) 
gained  significantly  more  weight  than  the  recovery 
controls  (Table  1).  Oysters  which  were  previously 
parasitized  by  fewer  B.  impressa  during  the  treat- 
ment period  gained  more  weight  during  the 
recovery  period  than  those  that  were  previously 
parasitized  by  more  snails  (Spearman's  Rank  corre- 
lation, P  =  0.07,  Fig.  2),  but  the  relationship  was 
considerably  weaker  than  during  the  treatment 
period. 

The  intensity  of  infection  by  P.  marinus  increased 
throughout  the  experiment  in  parasitized  oysters  so 
that,  after  recovery,  previously  parasitized  oysters 


had  higher  prevalences  and  intensities  of  infection 
than  they  did  after  4  weeks  of  parasitism;  these 
values  in  turn  were  higher  than  the  precontrol 
values  at  the  experiment's  inception  (Table  3). 
Exactly  the  opposite  trend  occurred  in  control 
oysters.  Recovery  controls  had  the  lowest  values  of 
prevalence  and  intensity.  Consequently,  after  the 
recovery  period,  previously  parasitized  oysters  had 
significantly  higher  intensities  of  infection  than 
recovery  controls.  The  proportion  of  infected  in- 
dividuals (33%  of  the  controls,  93%  of  the  previously 
parasitized  oysters)  was  significantly  higher  as  well 
(x^,  P  <  0.05).  Within  the  parasitized  oysters,  the 
intensity  of  parasitism  (snail  scale)  did  not  correlate 
with  the  increase  in  intensity  of  P.  marinus  infec- 
tion during  either  the  treatment  or  recovery  period 
(Fig.  3,  Spearman's  Rank,  P  >  0.05;  the  interaction 


557 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  2.— Means  and  standard  deviations  for  volume  (mL),  condition  index  (g  mL"') 
and  dry  weight  (g).  Significance  levels  (sig.)  from  Duncan's  multiple  range  test  (o  =  0.05). 
A  test  was  restricted  to  a  single  column.  Groups  having  the  same  letter  within  a  column 
are  not  significantly  different,    n,  see  Table  1 . 


Volume 

Condition  index 

Dry  weight 

Group 

Mean  ±  SD 

Sig. 

Mean  ±  SD 

Sig. 

Mean  ±  SD      Sig. 

Precontrol 

10.4  ±  4.1 

A 

3.4  ±  0.8 

C 

0.35  ±  0.14     AS 

Treatment 

Control 

11.2  ±  3.6 

A 

5.4  ±   1.0 

B 

0.34  ±  0.11      AB 

Parasitized 

9.2  ±  1.7 

A 

5.5  ±   1.0 

B 

0.28  ±  0.12        B 

Recovery 

Control 

9.5  ±  4.6 

A 

7.1    ±   1.5 

A 

0.32  ±  0.14        B 

Previously 

parasitized 

10.8  ±  3.8 

A 

7.7  ±   1.5 

A 

0.51    ±  0.24        A 

Table  3.— Mean  and  standard  deviations  for  Perkinsus  marinus 
infection  intensity  among  groups.  Significance  levels  from  Dun- 
can's multiple  range  test  (o  =  0.05)  apply  to  the  infection  intensity 
data.  Groups  with  the  same  letter  are  not  significantly  different. 
Percent  incidence  is  the  number  of  oysters  infected  divided  by  the 
number  of  oysters  in  the  sample.  Infection  intensity  was  calculated 
using  the  5-point  scale  of  Mackin  (1962).    n,  see  Table  1. 


Table  4. — Results  of  histological  examination  of  gonadal  samples 
for  each  group.  Significance  levels  (sig.)  from  Duncan's  multiple 
range  test  (a  =  0.05)  are  for  differences  In  the  number  of  eggs 
present  per  female  in  a  histological  section.  Percent  of  females 
spawning  is  the  number  of  females  with  eggs  observed  in  the 
gonoducts  divided  by  the  number  of  females  in  the  sample. 


Perkinsus  marinus 

Percent 

of 
females 

Infection       Intensity 

Signifi- 

Preva- 

Sex 

Eggs  present 

Group 

Mean  ±  SD 

cance 

lence 

Group 

Female 

Male 

Mean  ±  SD 

Sig. 

spawning 

Precontrol 

1.47  ±   1.45 

AB 

66.6 

Precontrol 

7 

7 

31.1   ±     4.4 

A 

86.0 

Treatment 

Treatment 

Control 

1.10  ±   1.06 

AB 

65.0 

Control 

6 

4 

36.6  ±11.0 

A 

100.0 

Parasitized 

1.63  ±   1.32 

AB 

79.0 

Parasitized 

4 

6 

21.6  ±     3.9 

B 

100.0 

Recovery 

Recovery 

Control 

0.83  ±   1.60 

B 

33.3 

Control 

5 

1 

37.6  ±     6.0 

A 

80.0 

Previously 

Previously 

parasitized 

2.21    ±   1.38 

A 

92.9 

parasitized 

11 

4 

42.9  ±     9.8 

A 

81.0 

term  in  the  MANCOVA  was  also  nonsignificant). 
The  number  of  eggs  per  microscopic  field  esti- 
mated from  histological  sections,  was  significantly 
lower  in  parasitized  oysters  after  the  4-wk  treatment 
period  (Table  4).  No  differences  between  controls 
and  previously  parasitized  oysters  were  present 
after  the  4-wk  recovery  period.  The  proportion  of 
oysters  ready  to  spawn  (female  oysters  which  had 
eggs  visible  in  the  gonoducts)  was  not  significantly 
different  in  parasitized  and  unparasitized  oysters 
during  treatment  or  recovery  (x^,  a  =  0.05). 

Biochemical  Composition 

Mean  levels  of  the  various  biochemical  compo- 
nents measured  in  adductor  muscle  and  mantle 
tissue  are  given  in  Tables  5  and  6.  A  comparison  of 
precontrol,  treatment  control,  and  recovery  control 
oysters  documents  the  changes  in  biochemical  com- 
position produced  by  handling  stress  and  natural 
environmental  changes  that  occurred  during  the 


experiment.  Glycogen  increased  significantly  in  the 
mantle  tissue  during  the  4-wk  treatment  period, 
then  decreased  during  the  recovery  period  (Table 
7).  Glycogen  in  the  adductor  muscle  also  decreased 
during  the  recovery  period  (Table  7).  Hypotaurine 
increased  in  both  tissues  during  the  treatment 
period  (Table  8).  Most  other  FAA  and  the  total  pool 
dropped  in  concentration  in  the  mantle  tissue  in  the 
first  4  weeks,  but  then  stabilized.  In  contrast,  in  the 
adductor  muscle,  significant  increases  in  glycine  and 
hypotaurine  during  the  treatment  period  were  off- 
set by  a  significant  decrease  in  alanine,  so  the  total 
pool  changed  little.  Again,  the  FAA  pool  stabilized 
during  the  first  4  weeks.  Hence,  there  was  little 
difference  in  treatment  and  recovery  controls  in  any 
measured  biochemical  component. 

Snail  parasitized  and  control  oysters  did  not  differ 
significantly  in  the  concentration  of  any  of  the 
biochemical  components  in  either  the  mantle  or 
adductor  muscle  (Tables  7,  8).  Only  one  biochemical 
parameter  differed  between  the  recovery  control 


558 


WILSON  ET  AL.:  EFFECT  OF  SNAIL  ON  OYSTERS 

Parasitized 
4.5  r  • 


4.0 


3.5 


B    3.0 

_c 

c 
o 


CO 

3 

§    2.0 

CD 
CO 

^    1.5 


0) 


1.0 


0.5 


•  •    • 


100 


-••- 


200  300 

Snail  Scale 


400 


500 


Previously  Parasitized 


4.5 


4.0 


3.5 


CO 

r 

0 

3.0 

■*-* 

c 

c 

o 

.^^ 

o 

?  h 

0) 

c 

CO 

3 

c 

?0 

l~ 

CO 

E 

to 

3 

eo 

C 

1.5 

* 

>- 

0) 

Q. 

•• 


1.0 


0.5 


•  • 


100  200  300 

Snail  Scale 


400 


500 


Figure  3.— Left:  Intensity  oiPerkinsus  marinus  infection  in  snail -parasitized  oysters  as  a  function  of  the  level  of  snail  parasitism  after 
the  4-wk  treatment  period.  Right:  Intensity  of  P.  marinus  infection  in  previously  snail-parasitized  oysters  as  a  function  of  the  level 
of  snail  parasitism  after  the  4-wk  recovery  period. 


and  previously  parasitized  oysters.  Recovery  con- 
trols had  significantly  less  glycogen  in  the  mantle 
tissue  (Table  7).  No  biochemical  component  was 
significantly  correlated  with  the  intensity  of  snail 
parasitism  (snail  scale)  in  parasitized  oysters  dur- 
ing the  4-wk  treatment  period  except  taurine  in  the 
adductor  muscle  (Table  9).  A  similar  comparison, 
using  the  previously  parasitized  oysters  after  the 
4-wk  recovery  yielded  only  two  significant  correla- 
tions with  snail  scale;  soluble  protein  and  hypo- 
taurine  content.  In  addition,  lipid  phosphate  in  the 
mantle  tissue  and  fatty  acid  content  in  the  adductor 
muscle  were  significantly  correlated  with  the  inten- 
sity of  Perkinsus  marinus  infection  after  the 
recovery  period  (all  recovery  oysters,  controls  and 
previously  parasitized,  were  included  in  the  analysis. 
Table  9). 


DISCUSSION 

Oysters  averaged  as  few  as  about  3  and  as  many 
as  14  snails  per  day  during  the  4-wk  treatment 
period;  however,  only  11%  of  the  oysters  had  10  or 
more  snails  per  day  and  76%  had  fewer  than  9  per 
day.  This  range  of  parasitism  is  typical  for  many 
reefs  in  the  experimental  area  (Copano  Bay- Aransas 
Bay,  TX-White  et  al.  1984;  Powell  et  al.  1987)  and 
corresponds  to  the  lower  parasite  levels  used  by 
White  et  al.  (1988,  in  press)  in  laboratory  studies 
on  these  animals. 

The  effects  of  snail  parasitism  were  minor  on  a 
biochemical  level,  but  substantial  on  an  organismal 
level.  Growth,  reproductive  capacity,  and  health,  as 
measured  by  Perkinsus  marinus  infection,  were 
significantly  affected.  Other  odostomians  also  re- 


559 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  5.— Means  and  standard  deviations  for  all  biochemical  components  in  mantle  tissue. 
FAA  =  total  of  the  9  free  amino  acids  measured;  FAA-  =  FAA  less  taurine  and  hypotaurine;  FAA- 
=  FAA  less  taurine,  hypotaurine,  glycine,  and  alanine;  amino  acids  in  ^moles  mL"  \  other  tissue 
components  in  mg  •  g  dry  wt'\ 


Treatment 

Recovery 

Previously 

Precontrol 

Control 

Parasitized 

Control 

parasitized 

(n 

= 

15) 

{n 

= 

10) 

(n 

= 

10) 

(n 

= 

6) 

(n 

=   15) 

X 

± 

SD 

X 

± 

SD 

X 

± 

SD 

X 

± 

SD 

X 

±  SD 

FAA 

351 

± 

94 

240 

± 

39 

280 

± 

38 

294 

± 

64 

270 

±  64 

FAA- 

220 

± 

67 

116 

± 

14 

121 

± 

15 

134 

± 

50 

117 

±  43 

FAA- 

57 

± 

18 

42 

± 

6 

46 

± 

7 

49 

± 

26 

42 

±   13 

Taurine 

102 

± 

33 

95 

± 

27 

119 

+ 

24 

108 

± 

15 

99 

±  21 

Hypotaurine 

27 

± 

10 

39 

± 

10 

50 

± 

23 

49 

± 

10 

54 

±  20 

Aspartic  acid 

22 

± 

5 

15 

± 

2 

19 

± 

3 

22 

± 

13 

18 

±     5 

Serine 

8 

± 

5 

5 

± 

2 

6 

± 

2 

5 

± 

3 

5 

±     3 

Threonine 

3 

± 

1 

1 

± 

0.2 

1 

± 

0.7 

1 

± 

0.4 

1 

±     0.5 

Glutamine 

8 

± 

5 

2 

± 

1 

3 

± 

0.8 

4 

± 

3 

5 

±     3 

Glutamic  acid 

14 

± 

5 

16 

± 

3 

18 

± 

5 

14 

± 

5 

12 

±     4 

Glycine 

71 

± 

23 

33 

± 

5 

38 

± 

10 

44 

± 

31 

38 

±   17 

Alanine 

87 

± 

33 

36 

± 

8 

38 

± 

10 

31 

± 

10 

34 

±   16 

Protein 

62 

± 

45 

28 

± 

39 

60 

± 

57 

45 

± 

40 

23 

±   16 

Glycogen 

28 

± 

22 

111 

± 

59 

66 

± 

28 

37 

± 

13 

88 

±  48 

Lipid  phosphate 

(as  PO4-3) 

0.62 

± 

0.41 

0.48 

± 

0.27 

0.82 

± 

0.39 

0.5 

± 

0.2 

0.87 

±  0.54 

Fatty  acids 

20.7 

± 

33.1 

33.2 

± 

49.1 

48.7 

± 

58.1 

9.4 

± 

10.5 

6.3 

±  3.2 

Table  6.— Means  and  standard  deviations  for  biochemical  components  of  adductor  muscle  tissue. 

See  Table  5  for  additional  information. 


Treatment 

Recovery 

Previously 

Precontrol 

Control 

Parasitized 

Control 

parasitized 

{n 

= 

11) 

{n 

= 

10) 

(n 

= 

10) 

(" 

= 

6) 

{n 

=   15) 

X 

± 

SD 

X 

± 

SD 

X 

± 

SD 

X 

± 

SD 

X 

±  SD 

FAA 

328 

± 

119 

306 

± 

56 

289 

± 

47 

277 

± 

110 

347 

±  81 

FAA- 

272 

± 

121 

227 

± 

54 

207 

± 

35 

210 

± 

95 

266 

±  78 

FAA- 

57 

± 

16 

57 

± 

8 

44 

± 

5 

75 

± 

25 

84 

±  24 

Taurine 

52 

± 

17 

53 

± 

25 

66 

± 

25 

42 

± 

16 

47 

±   13 

Hypotaurine 

8 

± 

4 

22 

± 

7 

23 

± 

3 

24 

± 

10 

33 

±     6 

Aspartic  acid 

17 

± 

7 

18 

± 

4 

14 

± 

4 

18 

± 

6 

21 

±     8 

Serine 

5 

± 

4 

7 

± 

3 

5 

± 

2 

27 

± 

21 

28 

±  21 

Threonine 

3 

± 

1 

2 

± 

0.9 

1 

± 

0.5 

2 

± 

1 

3 

±     1 

Glutamine 

6 

± 

2 

4 

± 

2 

2 

± 

1 

6 

± 

4 

10 

±     8 

Glutamic  acid 

20 

± 

6 

18 

± 

4 

21 

± 

6 

21 

± 

4 

20 

±     5 

Glycine 

54 

± 

15 

124 

± 

37 

119 

± 

42 

85 

± 

54 

121 

±  44 

Alanine 

142 

± 

63 

49 

± 

19 

39 

± 

10 

49 

± 

30 

60 

±  26 

Protein 

41 

± 

13 

49 

± 

40 

45 

± 

56 

45 

± 

35 

36 

±  22 

Glycogen 

6 

± 

3 

7 

± 

3 

6.8 

± 

0.3 

4 

± 

2 

4 

±     2 

Lipid  phosphate 

(as  PO;3) 

0.1 

± 

0 

0.2 

± 

0 

0.34 

± 

0.3 

0.25 

± 

0.28 

0.2 

±  0.1 

Fatty  acids 

15.0 

± 

10.0 

17.5 

± 

16.7 

15.3 

± 

24.1 

6.9 

± 

11.5 

8.6 

±  16.9 

duce  host  growth  rate  (Nishino  et  al.  1983).  Oysters 
parasitized  by  Boonea  impressa  gained  significant- 
ly less  weight  than  nonparasitized  oysters.  Para- 
sitized female  oysters  had  significantly  fewer  eggs 
than  controls  (the  effect  on  males  was  not  quan- 
tified). 

Reduced  growth  and  impaired  reproduction  in  the 
host  are  commonly  associated  with  marine  parasites 
(e.g.,  Menzel  and  Hopkins  1955;  Cheng  et  al.  1983; 


Hawkes  et  al.  1986).  Starvation  produces  a  similar 
phenomenon  (Fair  and  Sick  1982;  Pipe  1985;  Wright 
and  Hetzel  1985;  Devi  et  al.  1985).  Several  lines  of 
evidence  suggest  that  a  reduction  in  net  productiv- 
ity, but  not  a  negative  energy  balance,  produced  the 
results  observed  here.  White  et  al.  (1988)  developed 
an  energy  flow  model  for  oysters  and  snails.  Using 
that  model,  oysters  of  4  to  7  cm  long,  the  size  we 
used,  would  not  incur  a  negative  energy  balance  un- 


560 


WILSON  ET  AL.:  EFFECT  OF  SNAIL  ON  OYSTERS 

Table  7.— Results  of  Duncan's  multiple  range  test  for  biochemical  components  of  the  mantle  and  adductor  muscle.  Each  test  considered 
data  for  one  biochemical  component  (one  vertical  group  of  5  means)  for  each  tissue.  Different  letters  within  a  vertical  group  indicate 
significant  differences  at  a  =  0.05  within  that  group. 


Lipid 

Fatty 

Lipid 

Fatty 

Protein 

Glycogen 

phosphate 

acids 

Protein 

Glycogen 

phosphate 

acids 

Mantle 

Adductor  muscle 

Precontrol 

A 

B 

A 

A 

Precontrol 

A 

AB 

A 

A 

Treatment 

Treatment 

Control 

B 

A 

A 

A 

Control 

A 

A 

A 

A 

parasitized 

AB 

A 

A 

A 

Parasitized 

A 

AB 

A 

A 

Recovery 

Recovery 

Control 

AB 

B 

A 

A 

Control 

A 

B 

A 

A 

Previously 

Previously 

parasitized 

B 

A 

A 

A 

parasitized 

A 

B 

A 

A 

Table  8. — Results  of  Duncan's  multiple  range  test  for  free  amino  acids  in  the  mantle  tissue  and 
adductor  muscle.  Each  test  considered  data  for  one  biochemical  component  (one  vertical  group 
of  5  means)  for  each  tissue.  Different  letters  within  a  vertical  group  indicate  significant  differences 
at  a  =  0.05  within  that  group.  Tau  =  taurine;  Hyp  =  hypotaurine;  Asp  =  aspartic  acid;  Ser 
=  serine;  Glu  =  glutamic  acid;  Gin  =  glutamine;  Gly  =  glycine;  Ala  =  alanine;  FAA  =  total 
for  the  amino  acids  measured;  FAA-  =  FAA  less  taurine  and  hypotaurine;  FAA-  =  FAA  less 
taurine,  hypotaurine,  glycine,  and  alanine. 


Tau 

Hyp 

Asp 

Ser 

Thr 

Gin 

Glu 

Gly 

Ala 

FAA 

FAA- 

FAA- 

Mantle 

Precontrol 

A 

B 

A 

A 

A 

A 

AB 

A 

A 

A 

A 

A 

Treatment 

Control 

A 

A 

B 

A 

B 

B 

AB 

B 

B 

B 

B 

A 

Parasitized 

A 

A 

AB 

A 

AB 

B 

A 

B 

B 

AB 

B 

A 

Recovery 

Control 

A 

A 

AB 

A 

B 

AB 

B 

B 

B 

AB 

B 

A 

Previously 

parasitized 

A 

A 

AB 

A 

B 

AB 

B 

B 

B 

B 

B 

A 

Adductor  muscle 

Precontrol 

A 

C 

AB 

B 

A 

A 

A 

C 

A 

A 

A 

BC 

Treatment 

Control 

A 

B 

AB 

B 

AB 

A 

A 

AB 

B 

A 

A 

CD 

Parasitized 

A 

B 

B 

B 

B 

A 

A 

AB 

B 

A 

A 

D 

Recovery 

Control 

A 

AB 

AB 

A 

AB 

A 

A 

BC 

B 

A 

A 

AB 

Previously 

parasitized 

A 

A 

A 

A 

A 

A 

A 

AB 

B 

A 

A 

A 

Table  9.— Significant  P-values  obtained  by  MANCOVA  from  comparison  of  snail  scale  and  Perkinsus  mahnus  infection  intensity.  Tests 
using  snail  scale  considered  only  the  parasitized  oysters  after  the  treatment  period  and  the  previously  parasitized  oysters  after  the  recovery 
period.  Tests  using  P.  mahnus  considered  all  oysters,  controls  and  snail  parasitized.  Abbreviations  same  as  Table  8.  M  =  mantle 
tissue;  A  =  adductor  muscle;  —  =  not  significant  in  either  tissue  at  o  =  0.05. 


Lipid 
Gly-     phosphate 
cogen    (as  PO4  ^) 


Fatty 
acids 


Tau         Hyp      Asp   Thr       Ser       Glu   Gly   Ala   FAA   FAA-   FAA-     Protein 


Treatment 

Snail  scale 

Perkinsus  mahnus 
Recovery 

Snail  scale 

Perkinsus  mahnus 


—  0.02(A)        —         —      —  —  ___—        —         — 

—  —  _         _      _     0.004(A)     —      —     ———         — 


—         0.03(M)      0.002(A) 


—        0.04(A)     —      —  —  —      —     ————      0.004(M) 


561 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


til  fed  upon  by  at  least  25  average-sized  (1.75  mm 
maximum  width)  snails.  Seven  snails,  a  typical  value 
in  our  experiments,  would  reduce  net  productivity 
by  only  5  to  30%,  on  a  daily  basis.  In  addition,  con- 
dition index  and  mantle  glycogen  levels  increased 
during  the  treatment  period  in  both  control  and 
parasitized  oysters  and  the  effect  of  snail  parasitism 
on  all  biochemical  components  was  small  (oysters 
can  regulate  some  biochemical  components  even 
during  starvation,  Swift  and  Ahmed  1983;  but  see 
Riley  1976). 

Consequently,  both  reduced  growth  and  impaired 
reproductive  capacity  can  be  attributed  to  a  reduc- 
tion in  assimilated  carbon  available  to  the  host,  as 
a  result  of  either  a  reduction  in  filtration  rate  result- 
ing in  less  energy  being  assimilated  (Ward  and 
Langdon  1986)  or  the  direct  removal  of  assimilated 
carbon  by  the  snail.  Neither  effect  was  permanent. 
Growth  rate  resumed  and  reproductive  state  re- 
turned to  control  levels  during  recovery.  In  both 
cases  compensatory  adjustments  occurred  during 
the  recovery  period  so  that  previously  parasitized 
oysters  gained  weight  and  increased  egg  number 
faster  than  the  controls.  Loosanoff  and  Nomejko 
(1955)  and  Eagle  and  Chapman  (1953)  also  noted 
compensatory  shell  growth  in  oysters. 

Perkinses  marirms  infection  is  an  important  cause 
of  mortality  in  oysters  (Mackin  and  Sparks  1962; 
Mackin  1962;  Hofstetter  1977).  Boonea  impressa  can 
transmit  P.  marinus  from  one  oyster  to  another  and 
can  also  increase  the  intensity  of  infection  (White 
et  al.  1987).  Continued  deterioration  after  a  stress 
is  removed  occurs  frequently  in  "recovery"  experi- 
ments (Kendall  et  al.  1984;  Powell  et  al.  1984) 
demonstrating  the  necessity  of  examining  recovery 
capacity  in  acute  (vs.  chronic)  stresses.  Growth  rate 
typically  recovers  more  rapidly  than  most  biochem- 
ical parameters.  In  snail-parasitized  oysters,  both 
prevalence  and  intensity  of  P.  marinus  infection  in- 
creased during  the  recovery  period.  Hence,  in  con- 
trast to  growth  rate,  no  recovery  from  P.  marinus 
actually  occurred.  By  the  end  of  the  8-wk  period, 
infection  intensity  had  increased  by  about  1  unit  on 
Mackin's  (1962)  5  point  scale.  Growth  still  occurred 
and  reproductive  capacity  returned  to  control  levels, 
however,  during  this  period.  These  results  contra- 
dict those  of  Menzel  and  Hopkins  (1955)  who  showed 
that  P.  marinus  retarded  growth  in  proportion  to 
the  intensity  of  infection  and  Mackin  (1953)  who 
observed  decreased  fecundity  in  heavily  infected 
oysters.  Haven  (1962)  obtained  results  analogous  to 
ours.  Possibly,  the  oysters  in  our  study  were  not 
infected  heavily  enough  to  retard  growth  and 
reproduction.  Mean  infection  intensity  in  previous- 


ly parasitized  oysters  after  the  recovery  period  was 
only  2.2,  a  light  to  moderate  infection. 

Changes  observed  at  the  biochemical  level  among 
the  previously  parasitized  oysters  after  the  recovery 
period,  particularly  in  fatty  acid  and  lipid  phosphate 
content,  were  related  to  increased  infection  inten- 
sity of  P.  marinus  (Table  9).  Stein  and  Mackin 
(1955),  Mackin  (1962),  and  White  et  al.  (in  press) 
also  noted  changing  lipid  levels  related  to  infection 
intensity.  Lipid  phosphate  is  predominantly  a  struc- 
tural component  whereas  fatty  acids,  usually  as  tri- 
glycerides, are  storage  materials  in  many  marine 
invertebrates  (Gabbott  1976;  Trider  and  Castell 
1980;  Gehron  and  White  1982).  The  increased  lipid 
phosphate  content  in  mantle  tissue,  however,  prob- 
ably indicates  an  increase  in  structural  material, 
noted  histologically  by  Stein  and  Mackin  (1955, 
1957)  to  occur  in  conjunction  with  P.  marinus 
infections. 

Glycogen  is  the  primary  storage  material  in  most 
bivalves  (Beninger  and  Lucas  1984).  Parasitism  fre- 
quently affects  carbohydrate  metabolism  (Cheng 
1963;  Mohamed  and  Ishak  1981;  Thompson  and 
Binder  1984;  Thompson  1986).  White  et  al.  (in  press) 
suggested  that  P.  marinus  alters  oyster  metabolism 
favoring  gluconeogenesis.  Our  results  support  this 
hypothesis.  Glycogen  levels  dropped  only  in  recovery 
control  oysters  in  which  P.  marinus  infection  inten- 
sity also  declined.  Changing  fatty  acid  content  might 
be  similarly  explained.  In  contrast.  Stein  and  Mackin 
(1957)  noted  decreased  glycogen  levels  in  heavily  in- 
fected oysters  (3  to  5  on  Mackin's  scale).  Few  of  our 
oysters  were  this  heavily  infected,  however.  An 
alternative  explanation,  that  slower  reproductive 
development  in  parasitized  oysters  was  responsible 
for  variation  in  glycogen  and  fatty  acid  content,  can- 
not be  completely  excluded  because  P.  marinus  in- 
fection intensity  did  not  correlate  with  glycogen 
levels  in  recovery  oysters.  Parasitized  oysters  had 
fewer  eggs  than  control  oysters,  however.  Addi- 
tionally, neither  the  number  of  eggs  present  nor  the 
number  of  oysters  spawning  differed  significantly 
between  control  and  previously  parasitized  oysters 
during  the  recovery  period. 

Results  of  previous  workers  suggest  that  signif- 
icant decreases  in  storage  compounds,  whether 
caused  by  B.  impressa  or  P.  marinus,  only  occur 
in  heavily  infected  animals  (e.g..  Stein  and  Mackin 
1957;  White  et  al.  in  press).  This,  too,  is  true  for  the 
amino  acid  pool  where  significantly  decreased  levels 
are  usually  associated  with  more  severely  stressed 
animals  (e.g.,  Powell  et  al.  1982,  1984).  The  few 
significant  effects  on  amino  acids  in  this  study,  like 
all  the  other  biochemical  components  measured. 


562 


WILSON  ET  AL.:  EFFECT  OF  SNAIL  ON  OYSTERS 


were  produced  by  increases  in  concentration.  Soniat 
and  Koenig  (1982)  observed  significant  changes  in 
the  free  ammo  acid  pool  due  to  P.  marinus,  par- 
ticularly in  taurine  concentration.  We  noted  changes 
in  taurine  during  the  treatment  period  and  hypo- 
taurine  during  recovery  in  the  adductor  muscle  but 
these  were  related  to  snail  parasitism. 

Biochemical  components,  though  rarely  signifi- 
cantly affected,  were  affected  not  just  in  the  mantle 
tissue  but  also  in  the  adductor  muscle.  One  possi- 
bility, that  the  snail's  effect  is  localized  at  the  point 
of  feeding,  is  not  supported  by  the  data.  Snail  para- 
sitism produces  systemic  effects. 

CONCLUSIONS 

Complementary  results  of  White  et  al.  (1984, 
1988,  in  press)  and  this  study  permit  a  general 
description  of  the  impact  of  snail  parasitism  on 
oysters  at  normal  field  levels.  Both  growth  rate  and 
reproductive  development  slow  significantly,  but 
recover  rapidly  once  the  snails  are  removed.  Hence, 
the  temporal  stability  of  snail  patches  must  deter- 
mine the  cumulative  effect  on  field  populations  of 
oysters.  The  prevalence  and  intensity  of  infection 
by  Perkinsus  marinus  is  significantly  increased,  but 
recovery  does  not  occur.  That  is,  Boonea  impressa 
probably  facilitates  and  encourages  the  normal 
spread  and  intensification  of  P.  marinus  from  which 
oysters,  if  they  recover,  only  do  so  the  following 
winter  when  low  temperatures  typically  reduce  in- 
fection levels  (Hewatt  and  Andrews  1956;  Burrell 
et  al.  1984;  Soniat  1985).  This  effect,  then,  is  long 
term.  Most  changes  in  biochemical  components  were 
due  to  infection  by  P.  marinus.  Snail  feeding 
reduces  net  productivity  but,  at  normal  field  levels, 
starvation  is  an  unlikely  result.  Increased  infection 
by  P.  marinus  typically  raises  glycogen  and  lipid 
levels,  at  least  in  light  to  moderate  infections.  Of 
the  free  amino  acids,  taurine  and  hypotaurine  have 
been  shown  to  be  affected  by  P.  marinus  and  B.  im- 
pressa. Little  change  in  the  remaining  FAA  or  the 
total  pool  has  been  observed  singly  or  in  concert. 
Feng  et  al.  (1970)  noted  increased  taurine  levels  in 
oysters  parasitized  by  Bucephalus  sp.  and  Minchinia 
nelsoni.  Hence,  an  increase  in  taurine  and  hypo- 
taurine levels  apparently  is  a  general  response  to 
parasitism  in  oysters. 

Yuill  (1987)  emphasized  the  importance  of  subtle 
effects  produced  by  parasites  on  host  populations. 
Perkinsus  marinus  is  an  important  source  of  mor- 
tality in  oyster  populations  (Mackin  and  Sparks 
1962;  Mackin  1962;  Hofstetter  1977).  Data  suggest 
that  one  of  the  most  important  aspects  of  parasitism 


by  B.  impressa  is  to  encourage  this  second  parasitic 
organism.  To  this  extent,  over  the  year,  B.  impressa 
at  normal  field  densities  could  be  responsible  for  a 
substantial  amount  of  mortality  in  oyster  popula- 
tions. 

ACKNOWLEDGMENTS 

We  would  like  to  thank  M.  White,  D.  Davies,  and 
L.  Priest  for  laboratory  and  statistical  assistance. 
T.  J.  McDonald  graciously  provided  his  expertise  in 
GC  analysis,  and  M.  C.  Kennicutt  and  A.  Vastano 
ran  the  fatty  acid  analyses.  Suggestions  by  J.  Par- 
rack,  T.  Bright,  and  an  anonymous  reviewer  im- 
proved the  manuscript.  We  thank  R.  Covington  for 
typing  the  manuscript  and  tables.  R.  Pratt,  care- 
taker of  the  Aransas  Pass  Lighthouse,  provided 
space  for  the  field  portion  of  the  study.  This  research 
was  supported  by  part  of  an  institutional  grant 
NA85AA-D-FG128  to  Texas  A&M  University  by  the 
National  Sea  Grant  Program,  National  Oceanic  and 
Atmospheric  Administration,  U.S.  Department  of 
Commerce  to  E.  N.  Powell  and  S.  M.  Ray.  We  ap- 
preciate this  support. 

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566 


LIFE  TABLES  FOR  TWO  FIELD  POPULATIONS  OF 
SOFT-SHELL  CLAM,  MYA  ARENARIA,  (MOLLUSCA  :  PELECYPODA) 

FROM  LONG  ISLAND  SOUND 

Diane  J.  Brousseau'  and  Jenny  A.  Baglivo^ 

ABSTRACT 

Life  tables  were  constructed  for  two  populations  oiMya  arenaria  from  Long  Island  Sound,  USA,  based 
on  schedules  of  age-specific  fecundity  and  mortality  determined  under  natural  conditions.  Mya  arenaria 
shows  a  basic  conservatism  in  general  life  history  pattern.  In  both  populations,  fecundity  increases  with 
increasing  female  size;  sexual  maturity  is  attained  at  1  year  of  age;  a  single  annual  breeding  season  occurs 
and  survivorship  curves  approximate  the  type  III  of  Deevey,  which  is  characterized  by  extremely  heavy 
mortality  early  in  life  followed  by  relatively  constant  mortality  thereafter.  Differences  in  the  age-specific 
parameters  for  the  two  populations  exist,  however;  for  clams  greater  than  1  year  of  age,  both  age-specific 
fecundity  and  survivorship  are  significantly  higher  in  the  Stonington  population.  These  differences  in 
the  structure  and  dynamics  of  the  two  populations  may  be  due  to  environmental  heterogeneity.  Reduced 
body  size  due  to  slower  growth  in  coarse  substrate,  as  well  as  the  increased  maintenance  demands  resulting 
from  burrowing  and  valve  activity  in  large-grained  sediment,  may  account  for  the  lower  egg  production 
and  lower  survival  rates  found  in  the  Westport  population. 


The  life  history  pattern  of  a  species  has  been  defined 
as  the  way  in  which  that  species  partitions  the 
limited  resources  of  time  or  energy  among  the  three 
basic  biological  processes  of  growth,  maintenance, 
and  reproduction.  Efforts  to  generate  empirical 
values  for  life  history  parameters,  age-specific  fecun- 
dity and  survivorship,  have  only  recently  allowed  the 
construction  of  life  tables  for  field  populations. 
Determining  life  history  parameters  for  a  commer- 
cially important  species  such  as  the  soft-shell  clam, 
Mya  arenaria,  is  particularly  useful  since  they  can 
be  used  in  theoretical  models  which  are  designed  to 
analyze  the  effect  of  changing  survival  and  fecun- 
dity values  on  the  growth  rate  of  the  population. 
Life  tables  now  exist  for  a  number  of  benthic 
marine  invertebrates:  the  ha,rna,c\e—Chathamulus 
stellatus  (Connell  1961);  the  prosobranchs— 
Dicathais  orbita  (Phillips  and  Campbell  1974), 
Nucella  (=  Thais)  lapillus  (Frank  1969),  Nodilit- 
torina  tuber culata  (Doran  1968),  and  Conns  pen- 
naceus  (Perron  1983);  the  coelenterates— Mwr-icea 
califomica  (Grigg  1977),  M.fruticosa  (Grigg  1977), 
and  Balanophyllia  elegans  (Fadlallah  1983);  the 
bivalves— Mi/a  arenaria  (Brousseau  1978),  Tapes 
phillipinarum  (Yap   1977),   and  Gemma  gemma 


'Department  of  Biology,  Fairfield  University,  Fairfield,  CT 
06430. 

^Department  of  Mathematics  and  Computer  Science,  Fairfield, 
University,  Fairfield,  CT  06430;  present  address:  Mathematics 
Department,  Boston  College,  Chestnut  Hill,  MA  02167. 


(Weinberg  1985).  These  studies,  however,  examine 
life  history  parameters  for  a  single  species  popula- 
tion or  for  successive  cohorts  within  a  population. 
The  present  study  examines  age-specific  fecundity 
and  survivorship  in  two  geographically  separated 
populations  of  the  soft-shell  clam,  Mya  arenaria, 
using  identical  methodology.  Since  differences  in 
methodology  can  influence  estimates  of  demo- 
graphic parameters  (Fadlallah  1983)  uniformity  of 
approach  is  necessary  for  interpopulation  com- 
parisons. This  study  is  the  first  reported  examina- 
tion of  species- specific  traits  in  two  naturally  occur- 
ring populations  and  was  carried  out  as  part  of  a 
broader  study  of  the  population  dynamics  of  this 
species  along  the  Connecticut  shore  of  Long  Island 
Sound. 

MATERIALS  AND  METHODS 

Field  Study  Areas 

Field  studies  were  conducted  at  two  intertidal 
sites  in  Long  Island  Sound,  one  located  at  Barn 
Island  in  Stonington,  CT  Oat.  41°20'N;  long. 
71°53'W)  and  the  other  in  the  Saugatuck  River  in 
Westport,  CT  Gat.  41°06'N;  long.  73°23'W)(Fig.  1). 
The  Stonington  site  is  a  narrow  intertidal  sandflat 
which  extends  approximately  10  m  shoreward  to  a 
coarse  sand  beach.  At  low  tide  the  Westport  site  ex- 
tends 30  m  (at  its  widest  point)  shoreward  to  a  Spar- 


Manuscript  accepted  April  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


567 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Figure  1.— Map  showing  locations  of  the  two  study  sites:  Barn  Island  in  Stonington,  CT  (A)  and  Saugatuck  River  in  Westport,  CT  (B). 


tina  altemijlora  marsh.  The  substrate  there  is 
coarser  than  at  the  Stonington  site;  50%  by  weight 
is  >4  mm  grain  size  diameter,  much  of  that  classi- 
fiable as  either  cobble  or  boulder  (Brousseau  and 
Baglivo  1987).  Both  study  sites  are  closed  to  shellfish 
harvesting  to  high  levels  of  bacterial  contamination. 
Although  annual  salinity  and  temperature  profiles 
for  the  two  sites  are  not  available,  monthly  surface 
and  bottom  salinity  and  temperature  readings  for 
the  period  March  1979- June  1981  and  October 
1985-August  1986  are  available  for  four  sites  in 
western  Long  Island  Sound:  Norwalk,  CT  (lat. 
41°02.5'N;  long.  73°27.2'W),  Bridgeport,  CT  Gat. 
41°08.7'N;  long  73°11.1'W),  Stratford,  CT  (lat. 
41°07.6'N;  long.  73°07.6'W),  and  New  Haven,  CT 
(lat.  41°14.4'N;  72°54.2'W)(Tettlebachetal.,  1984; 
Blogoslawski,  pers.  comm.^).  All  water  sampling  was 
done  at  spring  low  tide  in  approximately  20  ft  of 
water.  The  annual  average  range  of  surface  temper- 
atures for  the  four  sites  was  0.5°-24.2°C.  The 
lowest  surface  temperature,  0.0 °C,  was  recorded  at 
the  New  Haven  station  in  February  1980;  the  high- 
est was  25.0°C  recorded  at  the  Stratford  station  in 
August  1986.  Annual  average  range  of  bottom 
temperatures  was  0.6°-23.4°C.  Surface  sahnities 
ranged  from  16.9  to  33.3°/oo  with  a  low  of  15.97oo 


reported  for  Stratford  and  a  high  of  35.77oo  re- 
corded at  the  Norwalk  station.  Mean  bottom  salin- 
ities during  that  period  ranged  between  17.0  and 

34.4«/oo. 

Fecundity 

Oocyte  production  by  female  clams  collected  dur- 
ing the  summer  spawning  seasons  of  1984  and  1985 
was  estimated  using  a  histological  technique  (Brous- 
seau 1976).  One  hundred  twenty-five  gravid  females 
from  the  Westport  population  and  123  from  the 
Stonington  population  were  examined.  Size-specific 
fecundity  rates  were  converted  to  age-specific  rates 
using  age-size  information  for  M.  arenaria  obtained 
from  analysis  of  internal  shell  growth  bands  (Brous- 
seau and  Baglivo  1987).  Age-specific  fecundity 
estimates  for  x-yr-old  clams,  m^.,  were  calculated 
using  the  formula: 


Mx  =  0.5  ^  Wj  P(size-class  i  |  x  yr-old) 


(1) 


'W.  Blogoslawski,  Northwest  Fisheries  Center  Milford  Labora- 
tory, National  Marine  Fisheries  Service,  NOAA,  Roger  Avenue, 
Milford,  CT  06460,  pers.  commun.  March  1987. 


where  m^  is  the  mean  fecundity  for  size-class  i, 
P(size-class  i  \  x-yr-old)  is  the  conditional  probabil- 
ity that  an  x-yr-old  clam  is  in  size-class  i,  and  the 
sum  is  taken  over  10  mm  size-classes  i.  The  condi- 
tional probabilities  P  (size-class  i  \  x-yr-old)  were 
derived  empirically  (see  Appendix  Tables  1,  2).  Ten 
millimeter  size-classes  were  used  because  of  sparse- 
ness  in  the  data.  By  convention,  m^  represents  the 


568 


BROUSSEAU  and  BAGLIVO:  FIELD  POPULATIONS  OF  MYA  ARENARIA 


total  number  of  eggs  produced  by  a  female  of  age 
X  which  may  be  considered  to  be  "female  eggs". 
Because  the  sex  ratio  of  both  populations  is  1:1 
(Brousseau  1987a),  only  half  of  the  oocytes  produced 
will  eventually  become  females.  Accordingly,  each 
rrijc  is  one-half  the  total  annual  fecundity  per  female 
of  age  X. 

Mortality 

To  determine  size-specific  l-yr  survival  rates  of 
adult  clams  (>1  year  of  age),  M.  arenaria  from 
Stonington  and  Westport  were  collected,  individual- 
ly tagged,  and  returned  to  their  original  sites  (Ston- 
ington: 31  May-1  June  1985;  Westport  (Plot  A):  1 
May  1984  and  Westport  (Plot  B):  22  May  1984). 
Clams  were  measured  to  the  nearest  0.1  mm  antero- 
posteriorly  and  marked  for  identification  using  a 
method  described  previously  (Brousseau  1979). 
Tagged  clams  were  replanted  in  parallel  furrows  ex- 
cavated to  a  depth  of  20-30  cm.  All  plots  were  0.3  m 
apart  and  located  at  midtide  level  (-I-3.0  m).  At  the 
end  of  the  test  period,  the  clams  were  collected.  All 
numbered  individuals,  both  alive  and  dead,  were 
returned  to  the  laboratory  for  measurement.  A  total 
of  1,049  clams  from  the  Stonington  population  were 
tagged,  of  which  78%  were  recovered.  One-year 
recovery  rate  at  the  Westport  site  was  40%  of  the 
1,977  clams  initially  planted.  Mortality  rates  were 
determined  on  the  basis  of  the  number  of  clams 
recovered.  This  method  gives  a  more  accurate 
estimate  of  mortality  since  it  does  not  consider  clams 
that  were  not  recaptured  in  these  estimates. 

If,  on  recapture,  a  dead  clam  showed  no  evidence 
of  growth,  either  death  had  occurred  naturally  in 
a  slow-growing  individual  or  premature  death  had 
occurred  as  a  result  of  trauma  due  to  the  marking 
procedure.  In  order  to  correct  for  premature  mor- 
tality caused  by  handling,  the  proportion  of  live 
clams  which  showed  an  increase  in  shell  length  over 
the  year  was  calculated  (Table  1).  For  the  Westport 
population  all  live  clams  <40  mm  shell  length  grew, 
while  94.7%  of  live  clams  over  40  mm  grew.  For  the 
Stonington  population  all  live  clams  <50  mm  shell 
length  had  grown  during  the  year,  while  91.9%  of 


Table  1 . — Distribution  of  Mya  arenaria  recovered  alive  showing 
growth  and  no  growth  during  the  test  period. 


Westport 
(clams  >40  mm) 


Stonington 
(clams  >50  mm) 


live  clams  over  50  mm  grew.  In  order  to  estimate 
size-specific  survivorship  then,  the  following  rules 
were  applied: 

Westport: 
Classes  <40  mm:  P(surviving  one  year)      (2) 

=  NJiN^  +  Nog) 
Classes  >40  mm:  F(surviving  one  year) 
=  NJ{N^  +  Nog/OMI) 

Stonington: 
Classes  <50  mm:  ^(surviving  one  year)      (3) 

=  NJiN^  +  Nog) 
Classes  >50  mm:  P(surviving  one  year) 
=  NJiN^  +  Ar^G/0.919) 

where  A^^  is  the  number  alive  and  Nog  is  the  num- 
ber dead  with  growth.  In  the  smaller  classes  (West- 
port,  <40  mm;  Stonington,  <50  mm),  the  sum  A^^ 
+  Nog  represents  all  recovered  individuals,  while 
in  the  larger  classes,  the  adjustment  factor  allows 
us  to  add  a  number  of  dead  without  growth  back 
into  the  total  recovered  in  the  same  proportion  as 
the  live  with  no  growth. 

Age-specific  survival  rates,  P_j,  were  based  on  the 
same  age-size  information  used  to  determine  age- 
specific  fecundity  rates.  These  rates  were  calculated 
using  the  formula: 


Px  =  -t.pj  P(size-class  i  \  a;-yr-old) 


(4) 


Number 
Percent 


Growth         No  growth         Growth         No  growth 

196  11  440  39 

94.7  5.3  91.9  8.1 


where  p^  is  the  probability  that  a  clam  in  size-class 
i  survives  one  year,  P(size-class  i  \  x-yr-old)  is  the 
conditional  probability  that  an  a;-yr-old  clam  is  in 
size-class  i,  and  the  sum  is  taken  over  10  mm  size 
classes  i. 

The  probability  of  surviving  from  settlement  to 
one  year  (a  period  of  about  10  months)  is  calculated 
from  the  estimates  of  the  density  of  the  population 
in  2  consecutive  years.  Both  populations  were  sam- 
pled during  periods  of  maximum  settlement  in  1985. 
This  period  occurred  approximately  3  weeks  earlier 
in  the  Westport  population.  At  each  sampling,  18 
to  35  samples  (0.1  m^  x  30  cm  deep)  were  taken 
along  transects  running  from  mean  low  water  shore- 
ward to  the  mean  high  water  mark.  Samples  were 
wet-seived  in  the  laboratory  (2  mm  mesh)  and  the 
shell  lengths  of  the  clams  retained  by  the  seive  were 
measured.  Clams  of  size  2-20  mm  in  the  first  year 
of  sampling  are  assumed  to  be  the  spat;  those  of  size 
20-50  mm  the  following  year  are  assumed  to  have 
come  proportionately  from  the  settlement  of  the 
previous  year  in  the  same  ratios  as  the  empirical 
probability  distributions  (Appendix  Tables  1,  2). 


569 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


RESULTS 

Fecundity 

Fecundity  of  Mya  arenaria  increased  with  in- 
creasing female  body  size  (Fig.  2).  Size-specific 
fecundity  schedules,  however,  differed  at  the  two 
study  sites.  Comparison  of  regression  lines  for 
log(fecundity)  vs.  shell  length  by  analysis  of  covari- 
ance  indicated  that  the  relationships  were  signifi- 
cantly different  {P  =  0.004).  Size-specific  oocyte  pro- 
duction in  the  Stonington  clams  was  larger  than  in 
clams  from  Westport.  The  smallest  gravid  females 
observed  were  34  and  27  mm  in  shell  length  in  the 
Stonington  and  Westport  populations,  respective- 
ly. Age  at  first  reproduction  is  1  year  in  clams  from 
both  sites.  Sex  ratios  in  both  populations  did  not 
differ  significantly  from  1:1  (Brousseau  1987a). 


Recruitment  and  Mortality 

Both  temporal  and  spatial  variations  in  annual 
recruitment  were  observed  during  the  study  period. 
A  substantial  settlement  occurred  at  the  Westport 
site  in  1985,  as  evidenced  by  the  high  densities  of 
2-20  mm  clams  present  in  late  July  of  that  year 
(Table  2).  In  contrast,  spat  densities  at  the  Stoning- 
ton site  were  low  in  early  August  of  1985,  when 
settlement  occurred.  Nonetheless,  persistence  of  the 
1985  year  class  at  Westport  was  poor,  whereas  ap- 
proximately one-half  of  those  set  in  the  Stonington 
population  during  that  year  were  alive  one  year 
later.  The  coarse  substrate  at  the  Westport  site  may 
have  aided  attachment  of  the  byssal  stage  juveniles, 
resulting  in  the  higher  recruitment  rate  during  the 
summer  of  1985.  Direct  estimates  of  M.  arenaria 
survivorship  during  the  postsettlement  to   1-yr 


1  7 


30 


35 


46 


52 


Stn 


57 


63 


68 
-  + +  - 


79 


16 


D 

O    16 

LLI 


«       « 


e       «  « 


•      « 
*  «     « 

a         *  «  •  * 
*  •    *    •  *  *  « 
*       *     «  «  2    * 

3*     »••««•« 
»«*«*««    «        «* 

'  *     22         *  • • 

2    •  *  • 

2    •2** 


O    ,5 

o 


15 


13 


27 


33 


38 


-  + +  - 

49 


55 


60 


66 


82 


SHELL  LENGTH  (mm) 

Figure  2.— Log  of  fecundity  versus  shell  length  for  Mya  arenaria  from 


570 


BROUSSEAU  and  BAGLIVO:  FIELD  POPULATIONS  OF  AfTA  ARENARIA 


Table  2.— Densities  per  0.1  m^  of  Mya  arenaria  in  size-classes 
2-50  mm  in  the  Westporl  and  2-60  mm  in  the  Stonington  popula- 
tions in  1985  and  1986. 


Location 

Size-class 

and  date         Samples 

(mm) 

/V/O.l  m^ 

(range) 

Westport,  Connecticut 

23  July  1985             28 

2-20 

23.36 

(0-84) 

09  June  1986            18 

10-20 

0.11 

(0-1) 

20-30 

0.44 

(0-5) 

30-40 

0.89 

(0-4) 

40-50 

0.50 

(0-3) 

Stonington,  Connecticut 

15  Aug.  1985            35 

2-20 

0.37 

(0-7) 

24  June  1986            24 

20-30 

0.04 

(0-1) 

30-40 

0.13 

(0-1) 

40-50 

0.33 

(0-2) 

50-60 

0.75 

(0-3) 

period  (10  months)  obtained  by  dividing  the  number 
of  1-yr-olds  alive  in  the  summer  1986  by  the  esti- 
mated cohort  size  in  the  previous  year  were  0.0283 
and  0.5869  for  the  Westport  and  Stonington  popu- 
lations, respectively. 

Size-specific  survival  rates  of  adult  clams  {>1  year) 
at  both  sites  are  shown  in  Tables  3  and  4.  These 
represent  empirical  estimates  from  mark  and  recap- 
ture studies  with  survival  adjustments  in  the  larger 
classes  made  according  to  Equations  (2)  and  (3). 
Statistical  comparison  of  the  survival  distributions 
of  adult  clams,  however,  was  limited  to  those  re- 
covered live  or  recovered  showing  some  growth.  At 
the  Westport  site  survival  was  constant  across  the 
10  mm  size  classes:  20-29  through  50-59  and  60  -i- . 
At  Stonington,  however,  the  size-specific  survival 
for  classes  30-39  through  70-79  and  80  -i-  increased 
slightly  with  size  (P  <  0.05,  x^  test).  The  probability 


18 


30 


35 


Wp  1 


46 


52 


57 


63 


68 


74 


79 


17 


16 


O    16 

LU 
U- 

O    15 

O 


«  • » 

«    *  «  «  4      •  * 
*    •  *    * 

*  *    V  ■«  •  • 

•  *        *        •        * 

•3    ;• 

2*    *»2*    *♦    **? 
*    *  2        •         * 


*   «  « 


*  ««*   22*** 

•  •  2  •  *  * 

*    2        *    * 

•    •*223*      • 


15 


13 


27 


33 


38 


44 


49 


55 


6C 


66 


7  1 


82 


SHELL  LENGTH  (mm) 

Figure  2.— Continued— the  Stonington  (STN)  and  Westport  (WPl)  populations. 


571 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Table  3.— Size-specific  survival  rates  for  marked 
Mya  arenaria  from  the  Stonington  population.  P 
=  probability  of  an  individual  from  size-class  /  sur- 
viving one  year;  N^  =  number  of  live  clams;  Nqq 
=  number  of  dead  clams  sfiowing  growth. 


Size-class 

Size  (mm) 

Na 

Nog 

P 

2 

20-30 

3 

30-40 

23 

3 

0.8846 

4 

40-50 

106 

18 

0.8548 

5 

50-60 

134 

7 

0.9462 

6 

60-70 

161 

11 

0.9308 

7 

70-80 

159 

9 

0.9420 

8 

eo+ 

25 

0 

1 .0000 

Table  4.— Size-specific  survival  rates  for  marked 
Mya  arenaria  from  the  Westport  population.  P  = 
probability  of  an  individual  from  size-class  /  surviv- 


ing one  year; 


Na  = 


number  of  live  clams;  N, 


DG   - 


number  of  dead  clams  showing  growth. 


Size-class      Size  (mm) 


N^ 


N. 


DG 


2 

20-30 

15 

5 

0.7500 

3 

30-40 

87 

56 

0.6084 

4 

40-50 

150 

76 

0.6515 

5 

50-60 

48 

19 

0.7052 

6 

60-70 

9 

5 

0.6303 

7 

70-80 

0 

0 

0.0000 

8 

80-1- 

of  surviving  one  year  for  adult  clams  at  Stonington 
(30  -1-  mm  in  shell  length)  is  significantly  higher  than 
at  Westport  (20+  mm  in  shell  length)  (P  <  0.001, 
X^  test). 

Age-specific  survivorship  estimates  (Table  5)  were 
calculated  by  assuming  that  20-30  mm  clams  at 
Stonington  survivied  with  the  same  probability  as 
30-40  mm  clams  and  that  90-100  mm  clams  at  Ston- 
ington survived  with  the  same  probability  as  80-90 
mm  clams  and  application  of  Equation  (4)  using  the 
empirical  distributions  in  Appendix  Tables  1  and  2. 


Table  5. — Age-specific  survival  rates  for  marked 
Mya  arenaria  from  the  Westport  and  Stonington, 
CT  populations.  P^  =  probability  of  surviving 
from  age-class  x  to  age-class  x  +  ^. 


Age-class 

(yr) 


Westport 


1 
2 
3 
4 
5 
6 
7 
8 
9 


0.6390 
0.6442 
0.6625 
0.6680 
0.6595 
0.6422 
0.6128 
0.5991 
0.5021 


Stonington 

P. 

0.8843 

0.9307 

0.9390 

0.9550 

0.9661 

0.9746 

0.9746 

0.9746 

0.9746 

Population  Dynamics 

The  age-specific  survivorship  and  fecundity  sched- 
ules for  M.  arenaria  are  combined  in  Hfe  table  form 
in  Tables  6  and  7.  Since  rates  of  larval  survivorship 
are  difficult  to  measure  for  species  with  planktonic 
larvae,  simplifying  assumptions  are  necessary  for 
estimating  survivorship  probabilities  of  larvae  (age 
0).  In  order  to  complete  the  life  tables  the  equilib- 
rium settlement  rates  (rj  were  calculated  using 
the  method  of  Brousseau  et  al.  (1982).  Our  choice 
of  r^  implies  that  the  net  reproductive  rate,  Rq, 
which  is  defined  by  Rq  =  ^l^m^,  were  Ij  =  sur- 
vivorship and  m_c  =  fecundity,  equals  one  for  both 
populations.  This  is  not  meant  to  imply  however, 
that  the  populations  studied  here  are  considered  to 
be  in  equilibrium.  Rather,  it  is  used  simply  as  a 
theoretical  construct  in  which  to  examine  possible 
consequences  of  differing  fecundity  and  mortality 
schedules  on  the  two  populations  of  M.  arenaria. 


Table  6.— Life  table  for  the  Westport,  CT  Mya  arenaria 
population,  assuming  equilibrium  conditions,  i^  = 
survivorship  to  beginning  of  age  interval  x,  or  /^_,  x 


Pj, . ,  when  X  >  1 ; 


m^  =  fecundity  during  age  interval  x. 


Age  (yr) 

'x 

m^ 

'x^x 

0 

1.0 

1 

^1.0599  X 

10-' 

1485615 

0.1575 

2 

6.7728  X 

10"^ 

2989512 

0.2025 

3 

4.3630  X 

io-« 

3867846 

0.1688 

4 

2.8905  X 

io-« 

5192053 

0.1501 

5 

1.9309  X 

10-8 

5892286 

0.1138 

6 

1.2734  X 

10-8 

6464925 

0.0823 

7 

8.1780  X 

lo-'^ 

6478050 

0.0530 

8 

5.0115  X 

10-*^ 

6842903 

0.0343 

9 

3.0024  X 

io-« 

8390977 

0.0252 

10 

1.5075  X 

10-*^ 

8390977 

0.0126 

1  /,  =  r,  X  (probability  of  surviving  from  2  months  to  1  year). 


Table  7.— Life  table  for  the  Stonington,  CT  Mya  are- 
naria population,  assuming  equilibrium  conditions.  1^ 
=  survivorship  to  beginning  of  age  interval  x,  or  /,_, 
X  P^_,  when  x  >  1;  m^  =  fecundity  during  age  inter- 
val X. 


Age  (yr) 

'x 

m. 

'x^x 

0 

1.0 

1 

'2.014  X 

10-8 

1109952 

0.0224 

2 

1.7811  X 

10-8 

3712746 

0.0661 

3 

1.6577  X 

10-8 

4947569 

0.0820 

4 

1.5566  X 

10-8 

7125027 

0.1109 

5 

1.4866  X 

10-8 

8287563 

0.1232 

6 

1.4362  X 

10-8 

8724158 

0.1253 

7 

1.3997  X 

10-8 

8724158 

0.1221 

8 

1.3642  X 

10-8 

8724158 

0.1190 

9 

1.3296  X 

10-8 

8724158 

0.1160 

10 

1.2958  X 

10-8 

8724158 

0.1130 

'  /,  =  r^  X  (probability  of  surviving  from  2  months  to  1  year). 


572 


BROUSSEAU  and  BAGLIVO:  FIELD  POPULATIONS  OF  MYA  ARENARIA 


The  equilibrium  settlement  rate  (r,)  for  the  West- 
port  population  is  3.7453  x  10'^  and  that  for  the 
Stonington  population  is  3.4318  x  10"^.  The  equi- 
librium first  year  survival  rates  (i.e.,  the  probability 
of  surviving  from  egg  to  year  1  necessary  to  main- 
tain a  population  at  equilibrium)  then,  become 
1.0599  X  10-^  and  2.014  x  lO'^  for  the  Westport 
and  Stonington  populations,  respectively. 

Under  the  assumption  of  equal  rates  of  larval  im- 
port and  export,  it  is  possible  to  calculate  empirical 
settlement  rates  by  estimating  the  total  number  of 
eggs  released  per  unit  area  by  spawning  females  in 
1985  and  dividing  this  value  into  the  densities  of 
2-20  mm  spat  settled  per  unit  area  2  months  later. 
Size-frequency  data  for  the  populations  was  used  to 
determine  the  number  of  clams  in  each  10  mm  size 
class  (Fig.  3).  The  number  of  animals  in  each  class 
(assuming  that  one-half  the  population  is  female)  was 
multiplied  by  the  mean  size-specific  annual  fecun- 
dity value  for  that  size  class.  Summing  over  all  size 
classes  of  reproducing  females  gives  an  estimate  of 
the  1985  oocyte  production  per  unit  area.  Empirical 
settlement  rates  of  8.4589  x  10"*^  and  7.1953  x 
10"^  were  calculated  for  the  Westport  and  Stoning- 
ton populations.  These  represent  values  of  2.2585 
and  2.0967  times  the  estimated  equilibrium  settle- 
ment rate  of  these  populations.  Multiplying  the  em- 
pirical settlement  rate  by  the  probability  of  surviv- 
ing the  remainder  of  the  year  give  actual  first  year 
actual  first  year  survival  rates  of  2.3939  x  10"^ 


and  4.2229  x  10"^  for  Westport  and  Stonington, 
respectively. 

The  heavy  mortality  evident  by  the  low  juvenile 
survivorship  rates  {l{)  for  M.  arenaria  take  into  ac- 
count the  losses  incurred  during  fertilization,  meta- 
morphosis and  recruitment,  and  subsequent  survival 
through  the  first  year  of  life.  Table  8  compares  the 
first  year  survival  rates  of  representative  marine 
invertebrate  species  with  planktonic  and  non- 
planktonic  modes  of  development.  Early  survival  in 
species  lacking  planktonic  larvae  is  on  average, 
three  orders  of  magnitude  higher  than  that  of 
species  which  pass  through  a  planktonic  larval  stage. 

DISCUSSION 

General  comparisons  of  life  history  traits  are  use- 
ful but  quantitative  comparisons  are  possible  only 
from  the  more  detailed  information  found  in  life 
tables  (age-specific  fecundity  and  survivorship).  The 
difficulty  in  generating  such  information,  especial- 
ly for  marine  bivalves,  many  of  which  have  plank- 
tonic larval  stages  during  their  life  cycles,  has 
resulted  in  the  construction  of  few  complete  life 
tables.  Moreover,  no  reported  field  study  has  ex- 
amined life  history  traits  for  more  than  one  popu- 
lation of  a  species  simultaneously.  Consequently,  the 
extent  to  which  quantitative  differences  in  life 
history  parameters  are  characteristic  of  the  life 
history  of  a  single  species  is  unknown. 


Table  8.— Empirical  estimates  of  first  year  survival  rates  of  marine  invertebrate  species  with  and 
without  planktonic  larvae  (adapted  from  Perron  1983). 


Class 

Species 

Survivorship 

Developmental 
mode 

References 

Anthozoa 

Muricea  californica 

2.6 

X 

10-^ 

planktonic 

Grigg  (1977) 

Muricea  fruticosa 

3.7 

X 

io-« 

planktonic 

Grigg  (1977) 

Balanophyllia  elegans 

5.0 

X 

10-2 

nonplanktonic 

Fadlallah  (1983) 

Bivalvia 

Gemma  gemma 
Cohorts  1978-1981 

2.3 
1.2 
2.0 

1.1 

X 
X 

X 

X 

10-2 

10-^ 
10-^ 
10-^ 

nonplanktonic 

Weinberg  (1985) 

Mya  arenaria 
Westport  population 

2.4 

= 

10-^ 

planktonic 

Present  study 

Stonington  population 

4.2 

X 

10-8 

Tapes  phillipinarum 

1.8 

X 

io-« 

planktonic 

Yap  (1977) 

Gastropoda 

Thais  lamellosa 

^9.0 

X 

10-3 

nonplanktonic 

Spight  (1975) 

Conus  pennaceus 

7.0 

X 

10-" 

nonplanktonic 

Perron  (1983) 

Lacuna  pallidula 

2.0 

X 

10-* 

nonplanktonic 

Smith  (1973) 

Aplysia  Juliana 

28.4 

X 

10-^ 

planktonic 

Sarver(1979) 

Crustacea 

Balanus  glandula 

6.0 

X 

10-5 

planktonic 

Connell  (1970) 

Barnacles  (3  spp.) 

2.0 

X 

10-5 

planktonic 

Mines  (1979) 

'Does  not  include  prehatching  mortality. 
^Survival  through  30-d  planktonic  period  only. 


573 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


WP1      1985 


7.7- 


a.3  - 


2.2- 


I 


I 


i-^ 


I 


-I 1 k * 1 1 1- 


2      5     10    15   20    25   30   35    40   45   50   55    60    65   70   75   80   85    90    95 

SHELL    LENGTH    (MM) 


STN     1985 


11.0 


B.a-- 


7.7-- 


in 


5.5-- 


9.S- 


2.2- 


I 


II 


i  i 


a  a  ^  a  a  ^ 


ll 

I  i 


i  ^  i   . 


-t — ♦ — —I 


2       5      10    15    20    25    30    35    40    45    50    55    60    65    70    75    80    85    90    95 

SHELL    LENGTH    (MM) 

Figure  3.— Size-frequency  distributions  of  Mya  arenaria  from  the  Stonington  (STN) 


574 


BROUSSEAU  and  BAGLIVO:  FIELD  POPULATIONS  OF  MYA  ARENARIA 


WP1      1986 


11.0 


9.9-- 


a.s 


7.7- 


3.3   - 


2.2    - 


5  10  15  20  25  30  35  40  45  50  55  60  65  70  75  80  85  90  95 

SHELL  LENGTH  (MM) 


STN     1986 


11.0 


a.s 


7.7    - 


CO 


3.3   - 


2.2- 


ii 


ll 


^ 


a^ 


»ii 


»  i 


^ 


II 


^ 


1 1 


I 


^ 


t^  i 


U 


I 


Im 


2   5   1  0  1  5  20  25  30  35  40  45  50  55  60  65  70  75  80  85  90  95 

SHELL  LENGTH  (MM) 

Figure  Z— Continued— a.nd.  Westport  (WPl)  populations  in  1985  and  1986. 


575 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


The  two  populations  of  M.  arenaria  from  Long 
Island  Sound  appear  to  show  a  basic  conservatism 
in  general  life  history  pattern.  In  both  populations, 
fecundity  increases  rapidly  in  young  females  with 
individuals  reaching  sexual  maturity  in  time  to 
reproduce  at  the  beginning  of  their  second  year  of 
life.  Similarly,  larval  and  adult  survivorship  sched- 
ules follow  the  type  III  survivorship  curve  of  Deevey 
(1947).  Extremely  heavy  mortality  early  in  life  is 
followed  by  roughly  constant  mortality  thereafter. 
This  pattern  is  similar  to  that  described  for  a  popu- 
lation of  M.  arenaria  from  Gloucester,  MA  (Brous- 
seau  1978)  except  that  in  the  latter,  age  of  first 
reproduction  occurs  at  the  end  of  the  second  year. 
It  is  interesting  to  note,  however,  that  some  of  the 
major  life  history  features  of  M.  arenaria  show  con- 
siderable latitudinal  variation  within  the  species. 
Frequencies  of  spawnings  during  the  year  increases 
(for  review  see  Ropes  and  Stickney  1965;  Brousseau 
1987a)  and  length  of  life  and  body  size  show  a  ten- 
dency to  decrease  with  decreasing  latitude  (Belding 
1930;  Newcombe  1935).  Details  of  the  ways  in  which 
such  variations  affect  the  life  history  parameters, 
however,  remain  to  be  studied. 

The  possibility  of  gene  flow  between  populations 
of  animals  with  planktonic  larval  stages  always 
exists.  Nevertheless,  the  amount  of  genetic  overlap 
is  effectively  reduced  as  the  geographical  distance 
between  the  populations  increases.  The  significant 
quantitative  differences  in  the  age-specific  demo- 
graphic parameters  for  the  two  populations  studied 
here  suggest  that  v^ithin  the  framework  of  a  general 
life  history  strategy,  a  response  to  the  biotic  and 
abiotic  components  of  the  immediate  environment 
is  possible.  Evidence  from  this  study  indicates  that 
environmental  conditions  at  the  Westport  site  may 
be  less  optimal  for  the  growth  and  maintenance  of 
M.  arenaria  than  are  those  at  the  Stonington  site. 
The  higher  equilibrium  settlement  rate  calculated 
for  the  Westport  population  indicates  that  on  aver- 
age, a  larger  annual  spatfall  is  needed  to  maintain 
that  population  than  is  required  at  the  Stonington 
site. 

The  biotic  factors  most  often  cited  as  agents  capa- 
ble of  altering  the  survival  and  fecundity  of  in- 
dividuals are  predation,  competition,  disease,  and 
parasitism.  It  is  unlikely  that  predation  was  a  major 
source  of  adult  mortality  at  either  site  for  reasons 
previously  discussed.  Moreover,  the  effects  of  preda- 
tion would  be  limited  to  the  small,  surface-dwelling 
clams,  since  1)  crabs,  fish,  and  birds  are  unable  to 
capture  deep  burrowing  adults  and  2)  it  has  been 
demonstrated  that  M.  arenaria  exhibits  a  "size 
refuge"  from  naticid  predators  (Edwards  and  Hueb- 


ner  1977).  Hancock  (1973)  has  suggested  that  com- 
petition for  food  or  space  between  the  spat  and 
adults  may  contribute  to  lowered  survival  in  newly 
settled  clams.  If  this  were  the  case,  one  would  ex- 
pect lower  juvenile  survivorship  rates  in  the  Stoning- 
ton population  where  population  densities  were 
greater  (Fig.  3). 

Trematode  infestations  have  been  demonstrated 
to  cause  castration  and  high  mortalities  in  a  popula- 
tion of  venerid  clams,  Transenella  tantilla,  in 
California  (Obrebski  1968).  Although  both  trematode 
infections  (Stunkard  1938;  Uzmann  1951)  and  fungal 
parasites  have  been  reported  in  M.  arenaria 
(Andrews  1954),  no  evidence  of  either  was  observed 
in  the  2,826  histologically  prepared  clams  (1,583 
from  Stonington;  1,243  from  Westport)  examined 
in  a  study  of  the  reproductive  cycle  in  the  two  popu- 
lations (Brousseau  1987a).  Sarcomatous  neoplasia, 
a  proliferative  disorder  characterized  by  increased 
number  of  "leukemia-like"  cells  in  the  tissues  and 
organs  (Farley  1969;  Brown  et  al.  1977;  Cooper  et 
al.  1982),  has  been  identified  in  samples  of  clams 
from  both  Stonington  and  Westport.  Prevalence  of 
the  disorder  in  the  Stonington  population  ranges 
from  0  to  46%,  whereas  0-69%  of  the  M.  arenaria 
from  Westport  were  neoplastic,  depending  on  the 
collection  date  (Brousseau  1987b).  At  present  it  is 
not  known  if  neoplasia  is  a  source  of  mortality  in 
field  populations  of  clams.  It  seems  reasonable  to 
assume  that  it  is,  however,  since  neoplastic  cells  are 
invasive  and  at  times  cause  the  destruction  of  organs 
and  tissues  in  infected  animals  (Yevich  and  Barszcz 
1977).  If  sarcomatous  neoplasms  prove  to  be  malig- 
nant, this  disease  could  be  responsible  to  some 
degree  for  the  higher  mortality  rates  reported  in  the 
Westport  population. 

The  abiotic  factors  with  the  greatest  effect  on  the 
biotic  potential  of  estuarine  organisms  are  temper- 
ature, salinity,  substrate,  and  food  availability.  Adult 
M.  arenaria  typically  inhabit  the  intertidal  zone  and 
are  adapted  to  a  vvide  range  of  fluctuations  in  water 
temperature  and  salinity.  In  addition,  sediments 
tend  to  buffer  temperature  and  salinity  fluctuations 
(Sanders  et  al.  1965;  Johnson  1965,  1967).  There- 
fore, infaunal  organisms  like  the  soft-shell  clam  are 
subject  to  less  extreme  environmental  fluctuations 
than  are  exposed  organisms  living  on  or  attached 
to  the  surface.  Belding  (1930)  noted  that  M. 
arenaria  withstands  extreme  variation  in  salinity, 
being  able  to  adjust  to  changing  tides  every  six 
hours.  Shaw  and  Hamons  (1974)  found  that  lethal 
conditions  for  burrowed  clams  were  met  only  when 
temperatures  persisted  in  the  high  20  °C  range  and 
salinities  were  2°/oo  or  lower.  In  the  laboratory. 


576 


BROUSSEAU  and  BAGLIVO:  FIELD  POPULATIONS  OF  MYA  ARENARIA 


adult  survival  is  not  altered  by  salinities  of  2.5°/oo 
(Chanley  1957;  Pfitzenmeyer  and  Drobeck  1963; 
Castagna  and  Chanley  1973)  to  35"/oo  (Castagna 
and  Chanley  1973).  Annual  water  temperature  and 
salinity  patterns  in  Long  Island  Sound  fall  well 
within  the  range  of  conditions  tolerated  by  M. 
arenaria  (see  Materials  and  Methods).  If  tempera- 
ture and  salinity  differences  did  occur,  their  effects 
would  be  minimal. 

Substrate  differences  at  the  Stonington  and  West- 
port  sites  appear  to  be  the  most  immediate  cause 
of  the  observed  differences  in  age-specific  fecundity 
and  survivorship.  Several  investigators  have  found 
that  sediment  type  is  important  in  controlling 
growth  rate  and  shell  allometry  in  M.  arenaria 
(Belding  1930;  Swan  1952;  Newell  and  Hidu  1982). 
Clams  grown  on  coarse  sediments  (gravel,  cobble), 
such  as  that  at  the  Westport  site  are  slow-growing 
and  more  globose  in  shape  than  clams  from  sand  or 
mud  environments.  Although  differences  in  growth 
rate  could  be  due  to  differences  in  food  availability 
at  the  two  sites,  the  allometric  variations  (Brous- 
seau  and  Baglivo  1987)  strongly  support  the  hypoth- 
esis that  substrate  effect  is  the  factor  controlling 
growth.  Reduced  body  size  in  Westport  clams  may 
have  an  indirect  effect  on  fecundity  by  restricting 
egg  production.  In  addition,  both  Glude  (1954)  and 
Pfitzenmeyer  and  Drobeck  (1967)  demonstrated  that 
M.  arenaria  burrows  fastest  in  fine-grained  sedi- 
ments since  physical  resistance  to  burrowing  in- 
creases with  increasing  particle  size  (Trueman  1954). 
Hence,  the  high  daily  maintenance  requirements  of 
Westport  clams  may  result  in  less  energy  available 
for  reproduction,  long-term  maintenance,  and  sur- 
vival. The  Westport  population  may  be  an  example 
of  a  population  inhabiting  a  marginal  environment. 

The  underlying  pattern  of  life  history  (reproduc- 
tive effort,  patterns  of  recruitment,  survival  profile, 
and  growth  schedule)  for  both  populations  of  M. 
arenaria  is  very  similar.  This  is  not  surprising  since 
population  parameters  are  viewed  as  evolved, 
species-specific  traits.  Nevertheless,  our  evidence 
for  local  differentiation  in  different  habitats  demon- 
strates the  degree  to  which  individual  populations 
of  a  widespread  species  can  respond  in  different 
ways  to  their  immediate  environments;  environmen- 
tal heterogeneity  can  be  reflected  in  the  structures 
and  dynamics  of  local  populations. 

ACKNOWLEDGMENTS 

We  wish  to  thank  K.  Schellinkhout,  J.  Smeriglio, 
J.  Trautman,  and  J.  Wachter  for  technical  assist- 
ance in  the  field.  Working  space  and  running  sea- 


water  raceways  for  marking  and  holding  animals 
were  made  available  at  the  National  Marine  Fish- 
eries Laboratory,  Milford,  CT  (J.  E.  Hanks  and  A. 
Calabrese,  Directors).  Temperature  and  salinity  data 
for  Long  Island  Sound  was  provided  by  W.  Blogos- 
lawski.  Financial  support  for  this  study  was  provided 
under  grant  number  NA82AA-D-00018  of  the  Con- 
necticut Sea  Grant  Program. 

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(Berl.)  54:353-361. 
Shaw,  W.  N.,  and  F.  Hamons. 

1974.    The  present  status  of  the  soft-shell  clam  in  Maryland. 
Proc.  Natl.  Shellfish.  Assoc.  64:38-44. 
Smith,  D.  A.  S. 

1973.  The  population  biology  of  Lacuna  pallidula  (DaCosta) 
and  Lacuna  vincta  (Montagu)  in  Northeast  England.  J. 
Mar.  Biol.  Assoc.  U.K.  53:493-520. 

Spight,  T.  M. 

1974.  Sizes  of  populations  of  marine  snail.  Ecology  55:712- 
729. 

Stunkard,  H.  W. 

1938.    The  morphology  and  life  cycle  of  the  trematode  Hinms- 
thla  quissentensis  (Miller  and  Northrop,  1926).    Biol.  Bull. 
(Woods  Hole)  75:145-164. 
Swan,  E.  F. 

1952.    The  growth  of  the  clam,  Mya  arenaria,  as  affected  by 
the  substratum.    Ecology  33:530-534. 
Tettlebach,  S.,  L.  Potti,  and  W.  Blogoslawski. 

1984.  Survey  of  Vibrio  associated  with  a  New  Haven  shell- 
fish bed,  emphasizing  recovery  of  larval  oyster  pathogens. 
In  R.  Colwell  (editor).  Vibrios  in  the  environment.  John 
Wiley  and  Sons,  Inc.,  N.Y. 

Trueman,  E.  R. 

1954.  Observations  on  mechanisms  of  the  opening  of  the 
valves  of  a  burrowing  lamellibranch,  Mya  arenaria.  J.  Exp. 
Biol.  31:291-305. 

UZMANN,  J.  R. 

1951.    Cercaria  myae  sp.  nov.,  a  fork-tailed  larva  from  the 
marine  bivalve,  Mya  arenaria.    J.  Parasitol.  38(2):161-164. 
Weinberg,  J.  R. 

1985.  Factors  regulating  population  dynamics  of  the  marine 
bivalve  Gemma  gemma:  intraspecific  competition  and  salin- 
ity.   Mar.  Biol.  (Berl.)  86:173-182. 

Yap,  W.  G. 

1977.    Population  biology  of  the  Japanese  little-neck  clam. 
Tapes  phillipinaT^m  in  Kaneohe  Bay,  Oahu,  Hawaiian 
Islands.    Pac.  Sci.  31:223-244. 
Yevich,  p.  p.,  and  C.  a.  Barszcz. 

1977.  Neoplasia  in  soft-shell  clams  (Mya  arenaria)  collected 
from  oil-impacted  sites.    Ann.  N.Y.  Acad.  Sci.  298:409-426. 


578 


BROUSSEAU  and  BAGLIVO:  FIELD  POPULATIONS  OF  MYA  ARENARIA 

APPENDIX 


Appendix  Table  1.— Empirical  distributions  for  age-size  relationships  for  the  Westporl,  CT  Mya 
arenaria  population.  Percentage  in  each  size  category  per  age  are  indicated  in  parentheses. 


Size 
(mm) 

Age  (yr) 

1 

2 

3 

4 

5 

6 

7 

8 

9  + 

10- 

-20 

1 
(3.8) 

20- 

-30 

9 

(34.6) 

3 

(2.0) 

30- 

-40 

13 
(50.0) 

55 
(37.2) 

19 
(12.7) 

2 

(2.9) 

40- 

-50 

3 

(11.5) 

70 
(47.3) 

65 

(43.3) 

15 
(21.4) 

7 
(15.6) 

4 
(8.7) 

3 
(8.3) 

3 
(7.9) 

50- 

-60 

19 
(12.8) 

60 
(40.0) 

40 
(57.1) 

24 
(53.3) 

23 

(50.0) 

16 
(44.4) 

17 
(44.7) 

6 
(23.1) 

60- 

-70 

1 
(0.7) 

5 
(3.3) 

12 
(17.1) 

13 
(28.9) 

17 
(37.0) 

14 
(38.9) 

14 
(36.8) 

14 
(53.8) 

70- 

-80 

1 
(1.4) 

1 
(2.2) 

2 
(4.3) 

2 

(5.6) 

4 
(10.5) 

6 
(23.1) 

80- 

-90 

1 
(2.8) 

Appendix  Table  2.— Empirical  distributions  for  age-size  relation- 
ships in  the  Stonington,  CT  Mya  arenaria  population.  Percentage 
in  each  size  category  per  age  are  indicated  in  parentheses. 


Size 
(mm) 

Age  (yr) 

1 

2 

3 

4 

5 

6  + 

20-30 

15 
(26.8) 

30-40 

22 

(39.3) 

4 
(5.1) 

40-50 

13 
(23.2) 

5 
(6.4) 

2 
(1.1) 

50-60 

6 
(10.7) 

31 
(39.7) 

37 
(20.2) 

5 
(3.8) 

1 
(7.1) 

60-70 

31 
(39.7) 

94 
(51.4) 

26 
(19.8) 

2 
(7.1) 

1 
(7.1) 

70-80 

7 
(9.0) 

41 
(22.4) 

66 
(50.4) 

14 
(50.0) 

4 
(28.6) 

80-90 

9 
(4.9) 

31 
(23.7) 

11 
(39.3) 

6 

(42.9) 

90-100 

3 
(2.3) 

1 
(3.6) 

2 
(14.3) 

579 


A  LONG-TERM  STUDY  OF  "MICROCELL"  DISEASE  IN  OYSTERS 

WITH  A  DESCRIPTION  OF  A  NEW  GENUS,  MIKROCYTOS  (G.  N.),  AND 

TWO  NEW  SPECIES,  MIKROCYTOS  MACKINI  (SR  N.)  AND 

MIKROCYTOS  ROUGHLEYI  (SR  N.) 

C.  Austin  Farley,'  Peter  H.  Wolf,^  and  Ralph  A.  Elston^ 

ABSTRACT 

Continuing  long-term  studies  of  oyster  disease  problems  have  been  carried  out  over  the  past  26  years 
using  field  monitoring,  gross,  histologic,  and  ultrastructural  pathologic  methods. 

A  microorganism  of  uncertain  taxonomy  was  discovered  in  1963  by  J.  G.  Mackin  in  association  with 
lesions  and  mortalities  of  Japanese  oysters,  Crassostrea  gigas,  from  Denman  Island,  British  Columbia, 
Canada.  Mackin  coined  the  term  "microcell"  for  this  organism  and  described  the  parasite  as  1-3  fim 
cells  with  small  nuclei  which  occurred  within  vesicular  connective  tissue  cells  adjacent  to  characteristic 
abscesses.  We  are  describing  this  organism  as  Mikrocytos  mackini  sp.  n.  in  his  honor.  Similar  appearing 
organisms  were  seen  by  the  senior  author  in  flat  oysters,  Ostrea  edulis,  from  Milford,  Connecticut,  on 
three  different  occasions:  1)  in  oysters  transferred  from  Milford,  Connecticut,  to  Chincoteague  Bay, 
Virginia;  2)  in  oysters  transferred  from  Milford  to  Elkhom  Slough,  California;  and  3)  in  oysters  trans- 
ferred from  Milford  to  Oxford,  Maryland,  and  held  in  recirculated  sea  water.  The  causative  organism 
in  these  three  episodes  has  been  shown  by  electron  microscopy  to  be  Bonamia  ostreae,  the  parasite  that 
was  implicated  in  recent  mortalities  in  flat  oysters  in  Europe.  Similar  organisms  have  also  been  seen 
in  Olympia  oysters,  Ostrea  lurida,  from  Oregon  and  in  the  Sydney  rock  oyster,  Saccostrea  commercialis, 
from  Australia.  Presence  of  the  organism  in  the  latter  species  is  associated  with  the  winter  mortalities 
originally  described  by  T.  C.  Roughley,  and  the  pathogen  is  here  described  as  Mikrocytos  roughleyi  (sp. 
n.)  in  his  honor. 


"Microcell"  type  parasites  of  oysters  are  associated 
with  a  complex  of  diseases  that  occur  in  Japanese 
oyster,  Crassostrea  gigas;  Sydney  rock  oyster,  Sac- 
costrea commercialis;  flat  oyster,  Ostrea  edulis; 
and  Olympia  oyster,  0.  lurida,  in  North  America, 
Europe,  and  Australia.  Severity  of  disease  varies 
from  an  acute,  highly  lethal  form  to  a  chronic, 
seasonally  recurring  disease  that  does  not  produce 
massive  mortalities.  The  etiologic  agents  are  small, 
morphologically  simple,  and  very  difficult  to  com- 
pare and  characterize  taxonomically  at  light  micro- 
scope levels  of  resolution.  Associated  lesions  vary 
according  to  species  affected  and  provide  some  of 
the  differences  that  may  be  used  to  distinguish  the 
agents  involved.  The  complexity  of  this  group  and 
the  difficulties  involved  in  achieving  an  understand- 
ing regarding  whether  we  are  dealing  with  one  or 
a  group  of  organisms  and  how  they  were  transferred 
to  new  locations,  the  long  time  span  involved  in 


'Northeast  Fisheries  Center  Oxford  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  Oxford,  MD  21654. 

^62  MacKenzie  Street,  Bondi  Junction,  New  South  Wales, 
Australia  2022. 

'Center  for  Marine  Disease  Control,  Battelle/Marine  Research 
Laboratory,  Sequim,  WA  93282. 


answering  these  questions,  and  the  continuing  dis- 
semination of  unpublished  privileged  information 
shared  in  informal  workshop  gatherings  of  scientists 
with  common  interests,  make  it  necessary  to  use  un- 
published anecdotal  information  in  order  to  provide 
as  complete  a  story  as  possible. 

The  first  oyster  mortality  known  to  be  associated 
with  "microcell"  disease  was  reported  in  C.  gigas 
from  Denman  Island,  British  Columbia,  Canada  by 
Quayle  (1961).  Quayle's  report  documents  the  epi- 
zootic aspects  from  1956  to  1960  and  demonstrates 
the  gross  appearance  of  the  disease  in  the  Pacific 
oyster.  A  causative  agent  was  not  identified  until 
several  years  later,  when  the  late  J.  G.  Mackin"* 
(unpubl.  data)  discovered  a  small  intracellular 
organism  intimately  associated  histologically  with 
tissue  abscesses  in  diseased  oysters  (C  gigas)  from 
Denman  Island  and  called  this  organism  "micro- 
cell".  He  demonstrated  this  material  at  the  1963 
Shellfish  Mortality  Conference  held  at  Oxford,  MD. 

Mackin's  demonstration  provided  us  with  the  in- 
sight to  identify  similar  organisms  in  histologic  sec- 


^J.  G.  Mackin,  deceased,  Texas  A&M  University,  College  Station, 
TX. 


Manuscript  accepted  May  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


581 


FISHf:RY  BULLETIN:  VOL.  86,  NO.  3 


tions  of  Denman  Island  oysters  in  our  laboratory 
collection  and  further  led  to  the  discovery  of  micro- 
cell  disease  in  0.  edulis,  0.  lurida,  and  5.  commer- 
cialis  from  Australia  ("Australian  winter  disease") 
described  by  Roughley  (1926).  In  1979,  the  char- 
acteristics of  microcell  disease  were  demonstrated 
at  a  microscopic  diagnosis  workshop  held  at  the 
Ministry  of  Agriculture  and  Fisheries  Laboratory 
in  Weymouth,  England.  This  workshop  was 
attended  by  molluscan  pathologists  from  several 
European  countries  including  France.  In  the  late 
1970s,  serious  mortalities  of  0.  edulis  in  France, 
associated  with  microcell  infections,  were  described 
in  a  paper  by  Pichot  et  al.  (1979),  in  which  the 
organism  was  named  Bonamia  ostreae.  Reference 
to  the  earlier  work  on  microcell  by  Mackin  and 
others  (Katkansky  et  al.  1969)  was  not  included  in 
their  report. 

Since  the  taxonomic  relationship  and  status  of 
these  similar  parasites  have  not  been  described,  it 
is  the  purpose  of  this  paper  to  present  a  complete 
background  on  microcell  related  epizootics  and  mor- 
phological information  which,  in  North  America, 
preceded  the  French  report  (Pichot  et  al.  1979).  Fur- 
thermore, microscopic  and  ultrastructural  compari- 
sons of  the  microorganisms  are  provided  and  a  new 
genus,  Mikrocytos  g.  n.,  and  two  new  species,  Mikro- 
cytos  mackini  sp.  n.  and  Mikrocytos  roughleyi  sp. 
n.,  are  described. 

MATERIALS  AND  METHODS 

General  Procedures 

Oyster  tissues  were  collected  from  a  variety  of 
sources  as  follows: 

Code  WWC  were  C.  gigas  collected  from  Henry  Bay, 
Denman  Island,  British  Columbia,  Canada  on  a 
periodic  basis  from  April  1968  to  June  1969  by  D.  B. 
Quayle  (spring  1969  samples  were  collected  by 
N.  Bourne).  Live  oysters  were  sent  by  air  freight 
to  the  Oxford  Laboratory  where  clinical  and  gross 
features  were  recorded  and  they  were  processed  for 
histological  and,  in  some  cases,  ultrastructural 
studies. 

Code  S-124-A  were  C.  gigas  from  Hawaii  collected 
in  September  1972. 

Code  S-41  were  S.  commercialis  collected  by  Peter 
Wolf  from  22  July  to  23  July  1965  from  the  Georges 
River,  Woolooware  Bay,  New  South  Wales  and  ship- 
ped to  the  Oxford  Laboratory  for  processing. 


Code  FK  were  progeny  of  0.  edulis  from  Boothbay 
Harbor,  ME  that  were  spawned  at  Milford,  CT  in 
April  1961.  Seed  oysters  were  transplanted  to 
Chincoteague  Bay,  VA  in  May  1961  and  processed 
at  subsequent  intervals  (FK-1-1  to  FK-2-5,  August 
1961;  FK-3-1,  August  1961;  FK-4-1  and  FK-4-2, 
February  1962). 

Code  WAC  were  0.  edulis  bred  in  the  Milford,  CT 
hatchery  from  1963  to  1965,  and  introduced  into 
California  bays  as  follows: 

WAC-1,  Milford  1963  seed  oysters  planted  in 
Morro  Bay,  CA  in  December  1964  and  sampled  on 
7  December  1965  during  a  heavy  mortality. 

Sample  WAC-21-28  consisted  of  38  oysters  from 
a  Milford  1963  stock  shipped  to  California  in  1964 
and  held  at  Pigeon  Point  Laboratory,  Pigeon  Point, 
CA  until  heavy  mortality  occurred  and  sampled  on 
11  May  1966. 

WAC-3-1-10  were  1963  Milford  oysters  placed  in 
Morro  Bay  in  1964.  Heavy  mortality  was  noted  and 
samples  were  taken.  WAC-3-11-15  were  1963 
Milford  stock  placed  in  Morro  Bay  in  1964.  Mortality 
was  low.  Oysters  were  necropsied  and  fixed  on  1 
May  1966.  WAC-3-16-26  were  Milford  1962  stock 
placed  in  Morro  Bay  in  1963.  They  experienced  40% 
mortality  and  were  examined  and  fixed  on  1  May 
1966.  Oysters  WAC-4-1  through  4-5  were  from 
Milford  1963  stock  placed  in  Tomales  Bay,  CA  in 
1964;  low  mortality  was  observed.  They  were  ex- 
amined and  fixed  on  1  May  1966. 

Code  FMT  were  0.  edulis  used  in  an  experimental 
holding  study  at  the  Oxford  Laboratory.  Ten  2-yr- 
old  0.  edulis  from  the  Milford  hatchery  were  placed 
in  each  of  three  tanks  receiving  0.45  /um  membrane 
filtered  26°/oo  seawater  on  23  February  1968;  pH, 
temperature,  salinity,  and  mortality  were  monitored 
daily  until  10  October  1968.  Crassostrea  virginica 
from  the  Mispillian  River,  Delaware  Bay,  were 
placed  in  each  tank  on  28  March.  Tanks  were  desig- 
nated A  (control),  B  (fed  tissues  of  moribund  0. 
edulis  from  Pigeon  Point,  CA),  and  C  (fed  tissues 
from  Denman  Island  C.  gigas  infected  with  Denman 
Island  disease).  Seawater  in  each  tank  was  recir- 
culated through  a  glass  wool,  charcoal,  calcium  flow- 
through  filter  via  an  airlift  system  moving  from  C 
to  B  to  A,  respectively.  Oyster  codes  were  FMT-A- 
1-20,  FMT-B-1-20,  FMT-C-1-20,  numbered  as  they 
were  fixed  (species  were  designated  at  time  of 
fixation). 

Code  WAO-A  were  50  specimen  samples  of  native 
oysters  (0.  lurida)  from  Yaquina  Bay,  OR,  sampled 


582 


FARLEY  ET  AL.:  MICROCELL  DISEASE  IN  OYSTERS 


monthly  from  February  1969  to  January  1971. 
Samples  were  coded  from  WA0-7A  to  WAO-22A. 
Tissues  were  fixed  in  Zenker's  acetic,  Davidson's 
fluid  (Shaw  and  Battle  1957),  or  McDowell's  fixative 
(McDowell  and  Trump  1976)  as  modified  by  Farley 
et  al.  (1986)  (1%  glutaraldehyde/4%  formaldehyde; 
pH  7.2-7.4  in  one-half  ambient  seawater).  Six  /im 
sections  were  stained  with  Harris'  hematoxylin- 
eosin,  Ziehl's  fuchsin,  periodic  acid  Schiff  reagent 
(PAS)  with  malt  diastase  digestion,  Feulgen  picro- 
methyl  blue  (Farley  1969),  or  Giemsa  (Howard  and 
Smith  1983). 

Electron  Microscopy  Procedures 

Lesions  from  C.  gigas  from  Denman  Island  were 
fixed  in  2%  glutaraldehyde  in  pH  7.2  seawater,  post- 
fixed  in  1%  osmium  tetroxide  in  phosphate  buffer, 
pH  7.2,  and  embedded  in  Epon-Araldite  (Feng  et  al. 
1971).  Fifty  to  100  nm  sections,  selected  on  the  basis 
of  interference  color  (silver),  were  cut  and  stained 
with  lead  citrate  and  uranyl  acetate.  Ostrea  edulis 
sections  from  the  WAG  material  (WAC-2-19)  were 
deparaffinized,  postfixed  in  2%  glutaraldehyde  and 
1%  osmium  tetroxide,  plastic  embedded,  ultrasec- 
tioned,  and  stained  in  the  same  fashion  as  the  C. 
gigas  materials.  Sections  were  examined  in  a  Zeiss^ 
EM  9  electron  microscope. 

RESULTS 


condition  index  remained  high  (most  oysters  in 
medium  to  fat  condition).  Mantle  recession  occurred 
most  commonly  from  April  through  June  and  was 
most  prevalent  in  June.  Pale  digestive  gland  was 
present  in  up  to  24%  of  the  oysters  in  the  spring 
and  was  also  seen  in  up  to  16%  of  the  oysters  in  fall 
samples.  Shell  pustules  (Fig.  1),  abscesses,  and 
ulcers  as  described  by  Quayle  (1961)  (Fig.  2)  were 
present  from  April  through  June. 

Microscopical  examination  (Table  2)  revealed 
granular  hemocyte  infiltration  of  vesicular  connec- 
tive tissue  (VCT)  in  most  samples  with  high  prev- 
alences of  microcell  infections  occurring  sporadically 
throughout  the  years.  Abscesses  (Fig.  3)  in  the  VCT 
of  the  mantle  and  gonad  consisted  of  apparently 
viable  granular  hemocytes  at  the  periphery  with 
phagocytosis  of  moribund  cells  deeper  in  the  lesion 
and  coagulative  necrosis  in  the  center.  Microcell 
organisms  were  associated  with  these  abscesses. 
The  parasite  (Fig.  4)  was  1-3  p<m  in  diameter,  con- 
tained a  small  (1  f^m)  Feulgen-positive  nucleus,  and 
occurred  cytozoically  in  VCT  cells  and  extracellu- 
larly  adjacent  to  and  within  abscesses.  Microcells  oc- 
curred in  60%  of  the  abscesses  found  in  histologic 
sections.  However,  microcells  were  never  found  out- 
side of  abscesses. 

A  similar  disease  was  discovered  by  F.  Kern^  in 
C.  gigas  from  Hawaii.  Microcell  parasites  were 
similar  in  morphology  and  size  (Figs.  5,  6)  to  the 
Denman  Island  organism,  but  infections  were  more 


"Denman  Island  Disease"  Studies 

Table  1  presents  the  seasonal  prevalence  of  gross 
features  of  samples  collected  in  this  study.  Visual 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 

^F.  G.  Kern,  Northeast  Fisheries  Center  Oxford  Laboratory, 
National  Marine  Fisheries  Service,  NOAA,  Oxford,  MD  21654, 
pers.  commun. 


Table  1.— Gross  pathology  in  oysters  from  Denman  Island,  B.C. 


Number 

%  pale 

in 

%  fat 

%  medium 

%  watery 

%  mantle 

digestive 

%  shell 

%  with 

Code 

Date 

sample 

condition 

condition 

condition 

recession 

gland 

pustules 

abscesses 

WWC-1 

22  May 

1967 

27 

88 

11 

0 

11 

0 

7 

7 

WWC-2 

5  June 

1967 

28 

100 

0 

0 

11 

7 

14 

7 

WWC-3 

10  Apr. 

1968 

25 

88 

4 

8 

78 

24 

0 

16 

WWC-4 

22  Apr. 

1968 

25 

100 

0 

0 

28 

0 

4 

12 

WWC-5 

24  May 

1968 

25 

100 

0 

0 

0 

0 

0 

4 

WWC-6 

24  June 

1968 

25 

92 

8 

0 

8 

0 

4 

0 

WWC-7 

5  Aug. 

1968 

25 

48 

48 

7 

8 

0 

0 

0 

WWC-8 

14  Oct. 

1968 

25 

100 

0 

0 

0 

0 

0 

0 

WWC-9 

18  Nov. 

1968 

25 

76 

24 

0 

0 

16 

0 

0 

WWC-1 0 

27  Jan. 

1969 

25 

44 

56 

0 

0 

4 

0 

0 

WWC-11 

26  Feb. 

1969 

18 

33 

61 

6 

0 

0 

0 

0 

WWC-1 2 

21  Mar. 

1969 

25 

96 

7 

0 

0 

0 

0 

0 

WWC-1 3 

11  Apr. 

1969 

25 

100 

0 

0 

4 

16 

16 

WWC-1 4 

12  May 

1969 

25 

72 

28 

0 

0 

0 

12 

12 

WWC-1 5 

20  June 

1969 

25 

88 

12 

0 

12 

0 

4 

0 

WWC-1 8 

9  June  1980 

42 

95 

2 

2 

19 

0 

17 

17 

583 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


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584 


FARLEY  ET  AL.:  MICROCELL  DISEASE  IN  OYSTERS 


Table  2.— Percentage  of  prevalance  of  lesions  and  parasites  in  Denman  Island  oysters. 


Hyaline 

Cilif^tp^ 

Granulocyte 

Tissue 

hemocyte 

Microcell 

\^\  1  laico 

infiltration 

abscess 

infiltration 

Neoplasms 

infection 

Mytilicola 

Gill       Other 

Code 

Date 

(0/0) 

(%) 

(%) 

(%) 

(%) 

(%) 

{%)         (%) 

WWC-1 

22  May  1967 

33 

7 

0 

0 

7 

7 

4             4 

WWC-2 

5  June1967 

4 

18 

0 

0 

14 

4 

4            0 

WWC-3 

10  Apr.  1968 

40 

16 

0 

0 

4 

0 

0            0 

WWC-4 

22  Apr.  1968 

0 

16 

0 

0 

16 

0 

0             4 

WWC-4 

24  May  1968 

8 

4 

0 

0 

4 

0 

0            4 

WWC-6 

24  June1968 

32 

4 

24 

0 

0 

0 

0            0 

WWC-7 

5  Aug.  1968 

0 

0 

0 

0 

0 

0 

0             0 

WWC-8 

14  Oct.  1968 

36 

0 

0 

4 

0 

0 

0             0 

WWC-9 

18  Nov.  1968 

12 

7 

36 

8 

0 

0 

0             0 

WWC-10 

27  Jan.  1979 

20 

0 

8 

0 

0 

0 

0             0 

WWC-11 

26  Feb.  1969 

4 

0 

0 

0 

0 

0 

0             0 

WWC-1 2 

21  Mar.  1969 

8 

4 

0 

0 

4 

8 

0            0 

WWC-1 3 

11  Apr.  1969 

20 

20 

8 

0 

12 

0 

4            4 

WWC-14 

12  May  1969 

24 

32 

0 

8 

16 

0 

0            0 

WWC-1 5 

30  June1969 

8 

12 

0 

0 

0 

0 

0            0 

WWC-18 

9  June1980 

4 

20 

0 

0 

16 

8 

0             0 

systemic  with  diffuse  inflammatory  infiltration  of 
connective  tissue  (Fig.  5)  associated  with  the  pres- 
ence of  microcell  parasites  (Fig.  6).  Microcells  were 
cytozoic  in  hemocytes  and  VCT.  Focal  abscesses 
were  present  but  not  nearly  as  prominent  in  the 
Hawaiian  oysters  as  the  lesions  in  Denman  Island 
oysters. 

Australian  Winter  Disease  Studies  in 
Saccostrea  commercialis 

Australian  winter  disease  was  characterized  by 
pustules,  ulcerations,  and  abscesses  (Fig.  7).  Seven 


F'iGURE  1.— Right  and  left  valves  of  Crassostrea  gigas  from 
Denman  Island,  British  Columbia.  The  darker  rounded  lesions 
are  conchiolinous  shell  pustules  characteristic  of  the  Denman 
Island  disease. 

Figure  2.— Scale  units  in  Figures  2-15  are  in  micrometers.  Macro- 
photograph  showing  shell  pustule  (A)  and  adjacent  tissue  ulcer 
(B). 

Figure  3.— Histologic  section  from  Denman  Island  oyster.  A  large 
abscess-type  lesion  is  apparent  in  the  connective  tissue-gonad 
region  of  the  section.  100  x .  Feulgen  picromethyl  blue  (PPM) 
stain  (specimen  WWC-2-7). 

Figure  4.— Higher  magnification  photomicrograph  taken  at  the 
edge  of  the  lesion  in  Figure  3.  Many  microcell  protistan  para- 
sites (Mikrocytos  mackini  sp.  n.)  are  evident  in  vesicular  con- 
nective tissue  cells  adjacent  to  necrotic  inflammatory  cells  deeper 
in  the  lesion.  1,000  x .  Harris'  hematoxylin  and  eosin  (HHE) 
stain  (specimen  WWC-2-7). 

Figure  5.— Lesion  caused  by  microcell  infection  in  C.  gigas  from 
Hawaii.    100  x.    HHE  stain  (specimen  S-124A-45). 

Figure  6.— High  magnification  photomicrograph  showing  micro- 
cell  parasites  intracellular  in  hemocytes  in  vesicular  connective 
tissue  of  the  Hawaiian  oyster.  1,000  x .  HHE  stain  (specimen 
S-124A-45). 


individuals,  consisting  of  six  females  and  one  male, 
displayed  ulcerations  in  the  gonad  and  mantle. 
Ulcerations  of  the  gills  were  also  common  and  fre- 
quently occurred  near  the  adductor  muscle.  Im- 
paired adductor  muscle  contraction  was  character- 
istic of  the  disease. 

Histologically,  the  animals  contained  abscesses 
(Fig.  8)  with  intense  phagocytic  infiltrations  in  the 
connective  tissue  and  varying  degrees  of  necrosis. 
The  abscesses  contained  a  small  (1-2  ^m)  organism 
(Figs.  9,  10)  which  contained  a  nucleus  >1  ^m  that 
was  spherical  with  bipolar  or  eccentric  nucleolar 
structures.  The  size  and  cytozoic  location  of  these 
organisms  suggest  a  strong  similarity  to  other 
microcell  type  parasites  seen  in  other  species  of 
oysters.  Four  of  the  six  females  had  gonads  in  a 
state  of  resorption  and  digestive  diverticular  epithe- 
lium was  slightly  metaplastic  in  two  of  the  seven 
oysters. 

Microcell  Disease  Study  in  Ostrea  edulis 

Episode  1 

Microcell  disease  in  0.  edulis  from  progeny  from 
Boothbay  Harbor,  ME  brood  stock  spawned  at 
Milford,  CT  and  transferred  to  Chincoteague  Bay, 
MD    (Code  FK). 

Two  of  the  13  oysters  fixed  between  August  1961 
and  July  1962  had  heavy  infection  of  microcells  (Fig. 
13)  which  were  1-3  ^m  in  diameter  with  a  Feulgen- 
positive  nucleus  (1  yim.  diameter)  and  found  intra- 
cellularly  within  hemocytes.  In  three  of  the  other 
oysters,  moderate  infiltrations  of  hemocytes  were 
observed  but  without  parasites. 


585 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


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Figure  7.— Ulceration  in  the  mantle  of  Saccostrea  commercialis  with  Australian  winter  disease. 

Figure  8.— Large  abscess-type  lesion  in  the  connective  tissue-gonad  region  of  Saccostrea  commercialis  (code  S-41-7) 

from  Australia  with  Australian  winter  disease.    100  x .    HHE  stain  (specimen  S-41-7). 
Figure  9. -Higher  magnification  photomicrograph  from  lesion  in  Figure  8.  Note  intracellular  microcell  parasites 

(Mikrocytos  roughleyi  sp.  n.)  with  hemocytes.    1,000  x.    HHE  stain  (specimen  S-41-7). 
Figure  10.— Heavy  infection  of  Australian  winter  disease;  microcell  parasites  in  the  gonad  of  S-41-4.    1,000  x .    HHE 

stain. 


586 


FARLEY  ET  AL.:  MICROCELL  DISEASE  IN  OYSTERS 


Episode  2 

Microcell  disease  in  0.  edulis  transferred  from 
Milford,  CT  to  Elkhorn  Slough,  CA    (Code  WAC). 

Epizootiological  gross  and  histopathologic  data 
are  presented  in  Table  3.  Clear  association  is  ap- 
parent between  high  mortality,  emaciation  (watery 
condition),  mantle  recession,  hemocytic  infiltration, 
and  heavy  microcell  infection. 

Infections  were  particularly  intense  in  gill  and  GI 
tract  epithelia  which  contained  dense  infiltrations 
of  infected  hemocytes  (Fig.  11).  Infections  were 
characterized  by  the  intracellular  (in  hemocytes)  and 
extracellular  presence  of  "microcell"  organisms 
(Fig.  12)  similar  to  those  seen  in  the  Chincoteague 
Bay  (FK)  samples. 


Episode  3 

Microcell  disease  in  0.  edulis  transferred  from 
Milford,  CT  to  aquaria  in  Oxford,  MD    (Code  FMT). 

The  experiment  ran  from  20  February  1968  until 
9  October  1968.  No  transmission  was  noted.  How- 
ever, tank  C  drained  accidentally  on  19  March  and 
the  filtered  seawater  was  replaced  with  unfiltered 
seawater  from  Chincoteague  Bay,  VA.  A  combined 
total  of  9  of  11  animals  died  between  22  March  and 
27  March  and  the  remaining  2  live  oysters  were 
fixed  on  28  March. 

The  first  six  that  died  were  from  tank  C  and  had 
moderate  to  heavy  cases  of  microcell  disease  with 
associated  hemocytic  infiltration.  Histologic  exam- 
ination of  both  species,  either  after  mortalities,  or 
when  they  were  sacrificed  in  October,  failed  to 
reveal  any  more  infections.  The  parasites  and 


disease  characteristics  were  identical  to  the  pre- 
viously described  cases  (Fig.  14). 

Microcell  Disease  Study  in  Ostrea  lurida 

Microcell  disease  in  0.  lurida  from  Yaquina  Bay, 
OR    (Codes  WA0-7-A  and  WA0-12-A). 

Monthly  to  bimonthly  samples  of  50  specimens 
were  examined  grossly  and  for  histopathology  for 
a  2-yr  period.  A  24%  prevalence  of  microcell  disease 
was  seen  in  WA0-7-A  samples  collected  in  February 
1969,  and  12%  prevalence  was  seen  in  the  WAO- 
12-A  samples  collected  in  February  1970.  No  micro- 
cell  infections  were  seen  in  any  of  the  other  samples. 
However,  neoplasms  and  Mytilicola  orientalis  in- 
fections were  seen  commonly  throughout  the  study. 

Microcell  infections  tended  to  be  less  intense  than 
in  0.  edulis,  but  organisms  were  similar  in  size  and 
appearance  to  the  organisms  seen  in  flat  oysters 
(Fig.  15).  Intracellular  infections  were  in  VCT  cells 
and  not  hemocytes. 

Ultrastructural  Studies 

Electron  microscopy  revealed  0.  edulis  parasites 
that  were  usually  intracellular  with  up  to  three 
organisms  per  cell.  Parasites  were  1-3  f^m  in  diam- 
eter, and  contained  an  eukaryotic  nucleus  about  1 
/im  in  diameter.  A  crescent-shaped,  peripheral 
nucleolus  was  evident  in  most  organisms  (Fig.  16). 
The  cytoplasm  contained  numerous  ribosome-like 
organelles  and  spherical  dense  bodies,  presumably 
membrane  bound,  which  were  90-130  nm  in  diam- 
eter, and  generally  resembled  the  "haplosporo- 
somes"  (Fig.  17)  described  in  other  haplosporidan 


Table  3. — Epizootiology  of  microcell  disease  in  O.  edulis  from  California. 


Stock 
origin 

Sample 
location 

Date 
fixed 

Mortality 

N 

Condition 

Mantle 
reces- 
sion 

Hemocyte 

infil- 
tration 

Microcell 
infection 

Code 

Fat 

Med 

Watery 

WAC-1 
(1-20) 

[Gilford 
1964 

Morro  Bay 

7  Dec. 

1965 

Heavy 

20 

no  gross 

data 

18 

18 

WAC-2 
(1-25) 

Milford 
1964 

Pigeon  Pt. 

1  May 

1966 

Heavy 

38 

1 

8 

19 

22 

25 

25 

WAC-3 
(1-10) 

Milford 
1964 

Morro  Bay 

1  May 

1966 

Heavy 

10 

2 

6 

2 

6 

8 

8 

WAC-3 
(11-15) 

Milford 
1963 

Morro  Bay 

1  May 

1966 

Low 

5 

4 

1 

0 

0 

0 

0 

WAC-3 
(16-26) 

Milford 
1963 

Morro  Bay 

1  May 

1966 

40% 

10 

6 

4 

0 

1 

6 

3 

WAC-3 
(27-31) 

Milford 
1965 

Morro  Bay 

1  May 

1966 

0 

5 

5 

0 

0 

0 

0 

0 

WAC-4 
(1-5) 

Milford 
1964 

Tomales  Bay 

1  May 

1966 

Low 

5 

5 

0 

0 

1 

0 

0 

587 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


Figure  1 1.— Low  magnification  view  of  Ostrea  edulis  from  California  (WAC-2-29).  Note  diffuse  inflammatory  infiltrate 
in  vesicular  connective  tissue.    100  x.    HHE  stain. 

Figure  12.— Microcell  infection  in  Ostrea  edulis  (specimen  WAC-2-19)  from  population  of  oysters  introduced  into  Califor- 
nia waters  from  Milford,  CT.    1,000  X.    HHE  stain. 

Figure  13.— Microcell  infection  in  hemocytes  in  Ostrea  edulis  transported  from  Milford,  CT  to  Chincoteague  Bay,  VA 
in  1962  (first  diagnosed  case  oi  Bonamia  ostreae).    1,000  x.    HHE  stain  (specimen  FK-5-1). 

Figure  14.— Microcell  infection  in  Ostrea  edulis.  Transferred  from  Milford,  CT  to  Oxford,  MD  recirculated  seawater 
aquarium.  Cells  of  the  vesicular  connective  tissue  are  infected.    100  x .    HHE  stain  (specimen  FMT-B-1-3). 

Figure  15.— Microcell  infection  in  vesicular  connective  tissue  and  hemocytes  of  Ostrea  lurida  from  Yaquina  Bay, 
OR.    1,000  X.    FPM  stain  (specimen  WAO-7A-41). 


588 


FARLEY  ET  AL.:  MICROCELL  DISEASE  IN  OYSTERS 


parasites  (Perkins  1979).  Larger  "membrane" 
bound  structures  (500  nm)  consistent  with  the  ap- 
pearance of  mitochondria  were  also  present  in  the 
cytoplasm;  however,  cristi  could  not  be  distin- 
guished. 

Ultrastructural  studies  were  also  performed  on 
positively  diagnosed  oysters  (C.  gigas)  from  Denman 
Island,  British  Columbia  (sample  WWC-18,  collected 
9  June  1980).  Microcells  were  always  associated  with 
focal  abscesses,  but  their  occurrence  was  restricted 
to  the  periphery.  Parasites  were  found  as  cytozoic 
organisms  primarily  in  VCT  cells  (Fig.  18).  Micro- 
cells  were  3-4  p<m  in  diameter,  had  nuclei  1  ^m  in 
diameter,  and  nucleoli  250-300  nm  in  diameter. 
Nucleoli  were  spherical,  eccentrically  located  within 
the  nucleus,  but  never  peripheral  (Fig.  19).  One  to 
many  parasites  occurred  within  the  cytoplasm  of 
vesicular  cells.  None  were  ever  found  within  hemo- 
cytes.  Figure  20  shows  an  organism  possibly  under- 
going division.  The  cytoplasm  was  densely  packed 
with  free  ribosomes  and  contained  a  variety  of 
organelles  as  follows:  double  membrane  bound  dense 
bodies  50-185  nm  in  diameter  (Fig.  19A);  double 
membrane  bound,  dumbbell-shaped  structures  (Figs. 
20,  21h),  approximately  37  x  18  nm  to  85  x  260 
nm;  and  dense  bodies  40-45  nm  in  diameter  that 
appeared  to  be  membrane  bound,  and  a  suggestion 
of  six-  and  five-side  angularity  (Figs.  19,  20,  21v). 
Endoplasmic  reticulum  was  extremely  sparse  if 
present  at  all.  The  plasma  membrane  complex  con- 
sisted of  possibly  two  membranes  with  the  external 
membrane  containing  dense  material.  An  electron- 
lucent  zone  was  present  around  the  cell,  suggestive 
of  a  glycocalyx. 

Taxonomic  Descriptions 

The  information  acquired  on  these  diseases  and 
the  organisms  associated  with  them  and  outlined 
previously  allows  us  to  propose  taxonomic  descrip- 
tions of  them. 

Mikrocytos  g.  n.  (Protista  incerta  sedis)  Gittle  cell)— 
Definitive  life  cycle  stages  that  would  permit 
higher  classification  of  this  protistan  parasite  have 
not  been  observed.  Named  after  the  term  micro- 
cell  as  coined  by  the  late  John  G.  Mackin.  Small 
(1-4  ^m),  unicellular,  protistan,  cytozoic  parasite 
normally  infecting  VCT  cells  of  oysters.  Always 
associated  with  abscess-type  focal  inflammatory 
lesions. 

Type  species  -  Mikrocytos  mackini  sp.  n. 
Bonamia,  the  other  closely  similar  genus,  infects 
hemocytes  of  ostreid  oysters  only  and  is  associated 


with  systemic  non-abscess  type  disease  manifes- 
tations. 

Mikrocytos  mackini  sp.  n.  —  Named  in  honor  of  the 
late  John  G.  Mackin  who  discovered  this  parasite 
in  the  early  1960s. 

Type  specimen  -  A  6  /im  thick  hematoxyhn-and- 
eosin-stained  histologic  section  of  an  infected 
oyster,  C.  gigas  (WWC-2-7),  was  deposited  in  the 
Registry  of  Marine  Pathology,  Northeast  Fish- 
eries Center,  Oxford,  MD  21654. 

Host  -  Crassostrea  gigas 

Type  locale  -  Henry  Bay,  Denman  Island,  British 
Columbia,  Canada. 

Range  -  Occurrence  confined  to  above  site.  (A  closely 
related  candidate  for  inclusion  within  this  species 
was  found  in  C.  gigas  from  Hawaii.) 

Morphologic  characteristics  -  Small,  1-4  nm  intra- 
cellular parasites  of  VCT  cells;  infections  always 
associated  with  focal  inflammatory  tissue  ab- 
scesses. Parasites  are  unicellular  and  contain  a 
small  1  p/m  nucleus  that  has  an  eccentric  nucleolus 
250-300  nm  in  diameter.  The  cytoplasm  contains 
dense,  double  membrane  bound,  dumbbell-shaped 
haplosporosome-type  organelles  50-180  nm  in 
diameter  and  40-45  nm  membrane  bound  five- 
and/or  six-sided  dense  bodies. 

Mikrocytos  roughleyi  sp.  n.  —  Named  in  honor  of 
T.  C.  Roughley  who  published  the  initial  study  of 
the  Australian  winter  disease  in  the  1920s. 

Type  specimen  -  A  6  fim  thick  hematoxylin-and- 
eosin-stained  section  of  an  infected  oyster,  S.  com- 
mercialis  (S-41-7),  was  deposited  in  the  Registry 
of  Marine  Pathology,  Northeast  Fisheries  Center, 
Oxford,  MD  21654. 

Host  -  Saccostrea  commercialis 

Type  locale  -  Georges  River,  Woolooware  Bay,  New 
South  Wales,  Australia. 

Range  -  Known  only  from  the  above  location  and 
other  high  salinity  estuaries  in  this  region  of  New 
South  Wales. 

Morphologic  characteristics  -  Infections  occur  in 
hemocytes  and  are  associated  with  focal  abscess- 
type  lesions  in  the  gill,  connective,  and  gonadal 
tissues.  Organisms  are  small  1-3  ptm  cells  that  con- 
tain an  eccentric  nucleus  and  a  cytoplasmic 
vacuole.  Ultrastructural  characteristics  are  not 
known. 

Comparisons  —  Mikrocytos  g.  n.  is  always  associated 
with  focal  abscesses  and  occurs  in  crassostreid 
oysters.  Bonamia  is  always  associated  with  general- 
ized infections  and  only  occurs  in  ostreid  oysters. 


589 


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FISHERY  BULLETIN:  VOL.  86,  NO.  3 


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FARLEY  ET  AL.:  MICROCELL  DISEASE  IN  OYSTERS 


Mikrocytos  mackini  sp.  n.,  which  has  eccentric 
nucleoH,  and  M.  roughleyi  sp.  n.,  which  has  a  cyto- 
plasmic vacuole  and  a  nucleus  that  is  displaced  to 
the  periphery  of  the  cell,  are  morphologically  distinct 
from  B.  ostreae  (the  only  closely  related  species).  All 
three  species  occur  in  separate  host  species  and  all 
appear  to  be  host  specific. 

DISCUSSION 

Denman  Island  Disease 

Quayle's  original  study  (1961)  documented  heavy 
mortality  (40%)  clearly  associated  with  surface 
tissue  pustules  in  C.  gigas  in  an  area  of  British 
Columbia  in  May.  Studies  of  C.  gigas  by  Mackin 
resulted  in  the  discovery  of  the  "microcell"  organ- 
ism and  its  association  with  tissue  abscesses.  Sub- 
sequent histological  examinations  done  by  the  senior 
author,  in  cooperation  with  D.  Quayle  and  N. 
Bourne,  confirmed  the  association  of  mortality, 
pustules,  tissue  abscesses,  and  microcell  infections 
that  have  continued  to  occur  during  each  May  and 
June  to  the  present  time. 

Histopathologically,  this  disease  (caused  by  Mikro- 
cytos mackini)  is  characterized  by  acute  inflam- 
matory abscesses  which  remain  focal  until  the  oyster 
dies  or  resolution  occurs.  While  microcell  organisms 
are  not  always  found  in  abscesses,  they  are  never 
found  in  oysters  that  do  not  have  abscesses,  in- 
dicating at  least  an  associational  relationship. 

Electron  microscopy  has  demonstrated  only  one 
stage  of  a  small  protistan  organism  that  contains 
organelles  resembling  haplosporosomes.  No  clear 
demonstration  of  mitochondria  has  been  accom- 
plished. The  haplosporosome-like  organelles  often 


IGURE  16.— Scale  units  in  Figures  16-21  are  in  nanometers.  Elec- 
tron micrograph  of  deparaffinized  Ostrea  edulis  from  Califor- 
nia. Two  intracellular  microcells  showing  prominent  nuclei  with 
peripheral  nucleoli.    36,000  x. 

IGURE  17.— Higher  magnification  of  California  microcells  show- 
ing haplosporosome-like  bodies  (A)  and  a  probable  mitochondria 
(B).    108,000  X. 

IGURE  18.— Electron  micrograph  of  several  microcells  in  vesicular 
connective  tissue  of  Crassostrea  gigas  (A)  from  Denman  Island, 
British  Columbia.  Probable  degenerate  microcells  can  also  be 
seen  in  the  cytoplasm  of  phagocytic  hemocytes  (B).  7,320  x . 
IGURE  19.— Electron  "micrograph"  of  microcell  from  Denman 
Island  Crassostrea  gigas.  Note  the  eccentric  nucleolus  (A),  myelin 
bodies  (B),  haplosporosome-like  bodies  (C),  and  virus-like  entities 
(D).    36,900  x. 

IGURE  20.— Electron  micrograph  of  Crassostrea  gigas  microcell 
with  structure  suggestive  of  division.    36,900  x. 
IGURE  21.— Higher  magnification  of  electron  micrograph  show- 
ing haplosporosomes  and  virus-like  dense  bodies.    108,000  x. 


tend  to  be  elongated  and  contain  layers  of  mem- 
branes. Internal  structure  of  these  organelles  is  not 
nearly  as  dense  as  that  seen  in  Bonamia  or  other 
haplosporidans. 

The  small  45  nm  dense  bodies  also  seen  in  the 
cytoplasm  have  characteristics  suggestive  of  virus 
structure;  namely,  uniform  size,  abundant  occur- 
rence in  the  cytoplasm  only,  and  a  suggestion  of 
icosahedral  symmetry.  The  cytoplasmic  occurrence, 
46  nm  size,  icosahedral  symmetry,  and  the  presence 
of  an  envelope  are  characteristics  of  the  family 
Togaviridae.  The  lack  of  paracrystalline  arrays, 
strategy  of  development,  empty  capsids,  and  extra- 
cellular occurrence  prevent  conclusive  identification 
of  these  particles  as  virus  at  this  time,  and  these  may 
prove  to  be  an  exclusive  organelle  that  is  a  char- 
acteristic of  this  protistan  group.  The  presence  of 
a  lytic  virus  in  the  parasite  could  also  explain  the 
self -limiting  nature  of  the  focal  abscesses  character- 
istic of  the  Denman  Island  disease. 

Australian  Winter  Disease 

Since  Roughley  described  this  disease  in  an  Aus- 
tralian S.  commercialis  in  1926,  little  progress  has 
been  made  toward  identification  of  the  etiologic 
agent.  Careful  examination  of  the  tissues  of  affected 
animals,  collected  by  Peter  Wolf,  has  revealed  ap- 
parent small  cytologic  and  histozoic  organisms 
associated  with  abscesses.  These  organisms  have 
features  such  as  size,  morphology,  and  tissue  loca- 
tion remarkably  similar  to  organisms  present  in 
other  oyster  microcell  diseases.  Peter  Wolf  (unpubl. 
data)  has  stated  that  this  disease  thrives  in  high 
(30-357oo)  salinity  (and  is  unknown  in  lower  salin- 
ities); the  incubation  period  is  about  2V2  months  and 
mortality  does  not  occur  in  animals  less  than  3  years 
old.  The  occurrence  of  shell  lesions  and  focal  tissue 
abscesses  appears  to  be  common  features  in  Sac- 
costrea  and  Crassostrea.  This  may  indicate  a  degree 
of  resistance  characterized  by  the  ability  of  the 
animal  to  isolate  parasites  in  a  focal  lesion  and  to 
eliminate  them  by  either  rupture  of  the  abscesses 
or  diapedesis  through  the  mantle  epithelium  to  the 
shell  surface,  with  subsequent  calcification  via  shell 
pustule  formation,  or  it  may  indicate  a  host  parasite 
relationship  response.  This  mechanism  was  reported 
in  oysters  that  had  acquired  resistance  to  Haplo- 
sporidium  nelsoni  (Farley  1968). 

Kern  (fn.  6)  found  microcell  infections  in  C.  gigas 
from  Hawaii  (Fig.  6)  that  were  not  always  asso- 
ciated with  focal  abscesses.  General  systemic 
infection  and  inflammatory  infiltration  were  noted 
in  these  cases  (Fig.  5),  but  the  organisms  appear 


591 


FISHERY  BULLETIN:  VOL.  86,  NO.  3 


to  be  identical  to  the  Denman  Island  microcell 
organisms. 


VCT  while  B.  ostreae  is  primarily  a  disease  of 
hemocytes. 


Microcell  Infections  in  Ostrea  edulis 

Microcell  infections  were  first  seen  in  0.  edulis 
in  moribund  oysters  which  had  been  transferred 
from  Milford,  CT  to  Chincoteague  Bay,  VA  in  1962. 
Two  animals  from  the  FK  sample  had  developed 
clinical  manifestations  of  the  disease.  Other  cases 
appeared  in  animals  transferred  from  Milford  to 
California,  and  Milford  to  Oxford.  Morphology  of  the 
infectious  organisms  was  identical  in  all  of  these 
episodes  and  the  histopathology  always  consisted  of 
acute  inflammatory  infiltration  and  systemic  in- 
volvement. All  episodes  were  associated  with  move- 
ment of  oyster  stocks  originating  in  Milford,  and  all 
experienced  severe  mortality.  No  differences  were 
noted  between  any  of  the  0.  edulis  epizootics  in 
regard  to  morphology  of  the  organisms.  Compari- 
son of  the  American  0.  edulis  infections  vdth  tissues 
of  French  oysters  experiencing  B.  ostreae  infections 
(Pichot  et  al.  1979;  Balouet  et  al.  1983)  revealed  no 
morphologic  or  histologic  differences  at  the  light  or 
electron  microscope  level.  Indeed,  ultrastructural 
comparisons  demonstrate  close  similarities.  Size 
comparisons  of  organisms  are  identical  and  the 
nucleus  contains  a  peripheral  nucleolus,  and  iden- 
tical haplosporosome-like  organelles  are  present  in 
the  cytoplasm.  The  major  difference  is  in  epizootic 
occurrences.  The  French  epizootic  occurred  in 
natural  or  feral  populations  of  European  flat 
oysters.  Since  introduction  of  oysters  to  French  sites 
from  locations  outside  of  France  was  a  common 
event  in  the  past,  the  source  of  the  index  case  may 
have  originated  from  an  introduction  of  oysters  from 
Elkhorn  Slough,  CA  in  the  late  1970s  (Elston  et  al. 
1986).  Contagious  spread  (Tige  et  al.  1981)  is  well 
documented  in  many  locations  in  France  and  also 
the  Netherlands.  With  the  exception  of  the  estab- 
lished breeding  populations  of  flat  oysters  in  the  cen- 
tral Maine  coast  region,  no  natural  or  feral  popu- 
lations of  0.  edulis  exist  in  the  United  States.  The 
State  of  Maine  carefully  controls  imports  into  the 
state;  the  disease  has  not  been  established  in  this 
population.  The  discovery  of  microcell  infections  in 
0.  lurida  in  Oregon  suggests  that  this  may  be  a 
naturally  occurring  disease  in  that  species.  Infec- 
tion intensity  and  prevalences  suggest  that  some 
animals  may  die  from  the  disease.  The  disease  ap- 
pears to  be  enzootic  in  the  Oregon  location.  The  lack 
of  ultrastructiiral  studies  prevents  close  comparison 
of  the  0.  lurida  disease  with  the  0.  edulis  disease. 
However,  the  disease  in  0.  lurida  tended  to  infect 


CONCLUSIONS 

There  is  a  complex  of  oyster  diseases  caused  by 
a  group  of  protistan  parasites  of  several  species. 
These  small  intracellular  and  extracellular  organ- 
isms designated  originally  as  microcells  have  been 
found  in  association  with  serious  disease  in  two 
species  of  Crassostrea  and  two  species  of  Ostrea. 
It  appears  that  the  disease  in  C.  gigas  and  S.  com- 
mercialis,  whOe  exhibiting  some  similarities  in  types 
of  lesions,  are  probably  caused  by  different  species 
of  microcell  type  parasites. 

A  new  genus,  Mikrocytos  g.  n.,  and  two  new 
species  have  been  described  for  the  organisms  caus- 
ing disease  in  oysters:  Mikrocytos  mackini  sp.  n.  in 
C.  gigas  from  British  Columbia,  Canada,  and  Mikro- 
cytos roughleyi  sp.  n.  in  S.  commercialis  from 
Australia. 

Disease  that  has  struck  0.  edulis  in  France  is  iden- 
tical to  the  microcell  disease  seen  in  0.  edulis  in 
three  episodes  in  the  United  States.  The  organism 
causing  the  disease  in  0.  edulis  is  Bonamia  ostrea£ 
and  is  clearly  different  from  the  microcell  organism 
found  in  C.  gigas  in  British  Columbia  and  Hawaii. 
Finally,  additional  ultrastructural  studies  are  needed 
for  more  complete  characterization  of  the  organisms 
from  0.  lurida  and  S.  commercialis. 

ACKNOWLEDGMENTS 

We  thank  Cecelia  Smith,  Dorothy  Howard,  and 
Gretchen  Roe  for  preparation  of  histologic  ma- 
terials; Jane  Wade  for  preparation  of  the  ultra- 
structural  material;  and  Muriel  McNeils,  Karen 
Hayman,  and  Jane  Swann  for  manuscript  prepara- 
tion. The  senior  author  would  like  to  acknowledge 
the  help  of  the  late  John  Mackin  for  his  expert  ad- 
vice through  the  years;  Daniel  B.  Quayle  and  Neil 
Bourne  for  assistance  with  samples  of  oysters  from 
British  Columbia;  Fred  Kern  for  allowing  us  to  use 
his  Hawaiian  material;  and  Albert  K.  Sparks  and 
Inke  Sunila  for  critical  review  of  the  manuscript 
without  implying  agreement  with  interpretations 
herein.  Partial  support  from  the  Department  of 
Energy  under  Contract  DE-AC06-76RLO  1830  to 
Battelle  Memorial  Institute  is  acknowledged. 

LITERATURE  CITED 

Balouet,  G.,  M.  Poder,  and  A.  Cahour. 

1983.    Haemocytic  parasitosis:  morphology  and  pathology  of 


592 


FARLEY  ET  AL.:  MICROCELL  DISEASE  IN  OYSTERS 

lesions  in  the  French  flat  oyster,  Ostrea  edulis  L.    Aqua- 
culture  34:1-14. 

Elston,  R.  a.,  C.  a.  Farley,  and  M.  L.  Kent. 

1986.  Occurrence  and  significance  of  bonamiasis  in  European 
flat  oysters,  Ostrea  edulis,  in  North  America.  Dis.  Aquat. 
Org.  2:49-54. 

Farley,  C.  A. 

1968.  Minchinia  nelsoni  (Haplosporida)  disease  syndrome  in 
the  American  oyster,  Crassostrea  virginica.  J.  Protozool. 
15:585-599. 

1969.  Probable  neoplastic  disease  of  the  hematopoietic 
system  in  oysters  (Crassostrea  virginica  and  Crassostrea 
gigas).    Natl.  Cancer  Inst.  Monogr.  31:541-555. 

Farley,  C.  A.,  S.  V.  Otto,  and  C.  L.  Reinisch. 

1986.    New  occurrence  of  epizootic  sarcoma  in  Chesapeake 
Bay  soft-shell  clams,  Mya  arenaria.    Fish.   Bull.,   U.S. 
84:851-857. 
Feng,  S.  Y.,  C.  N.  Burke,  and  L.  H.  Kharallah. 

1971.    Light  and  electron  microscopy  of  the  leukocytes  of 
Crassostrea  virginica  (Mollusca:  Pelecypoda).    Z.  ZeUforsch. 
120:222-245. 
Howard,  D.  H.,  and  C.  S.  Smith. 

1983.  Histological  techniques  for  marine  bivalve  moUusks. 
U.S.  Dep.  Comm.,  NOAA  Tech.  Memo  NMFS-F/NEC-25, 
97  p. 
Katkansky,  S.  C,  W.  a.  Dahlstrom,  and  R.  W.  Warner. 
1969.  Observations  on  survival  and  growth  of  the  European 
flat  oyster,  Ostrea  edulis  in  California.  Calif.  Fish  Game 
55:69-74. 


McDowell,  E.  M.,  and  B.  F.  Trump. 

1976.    Histologic  fixatives  suitable  for  diagnostic  light  and 
electron  microscopy.    Arch.  Pathol.  Lab.  Med.  100:405-413. 
Perkins,  F.  0. 

1979.    Cell  structure  of  shellfish  pathogens  and  hyperparasites 
in  the  genera  Minchinia,  Urospondium,  Haplosporidium, 
and  Marteilia—taxonomic  implications.    Mar.  Fish.  Rev. 
41(l):25-37. 
PiCHOT,  Y.,  M.  CoMPS,  G.  TiGE,  H.  Grizel,  and  M.  a.  Rabouin. 
1979.    Recherches  sur  Bonamia  ostreae  gen.  n.,  sp.  n.,  para- 
site nouveau  de  I'huitre  plate  Ostrea  edulis  L.    Rev.  Trav. 
Inst.  Peches  Marit.  43:131-140. 
QUAYLE,  D.  B. 

1961.    Denman  Island  oyster  disease  and  mortality,  1960. 
Fish  Res.  Board  Can.  Ms.  Rep.  Ser.,  No.  713,  p.  1-9. 
ROUGHLEY,  T.  C. 

1926.    An  investigation  of  the  cause  of  an  oyster  mortality  on 
the  Georges  River,  New  South  Wales,  1924-25.    Proc.  Linn. 
Soc.  N.S.W.  51:446-491  (-i-  plates). 
Shaw,  B.  L.,  and  H.  I.  Battle. 

1957.    The  gross  and  microscopic  anatomy  of  the  digestive 
tract  of  the  oyster,  Crassostrea  virginica  (Gmelin).    Can. 
J.  Zool.  35:325-347. 
TiGE,  G.,  H.  Grizel,  A.  G.  Martin,  A.  Langlade,  and  M.  A. 
Rabouin. 
1981.    Situation  epidemiologique  consecutive  a  la  presence  du 
parasite  Bonamia  ostreae  en  Britagne.  Evolution  au  cours 
de  I'annee.  1980.    Sci.  Peches  Bull.  Inst.  Peches  Marit. 
315:13-20. 


593 


NOTES 


CONJOINED  TWIN  ADULT  SHRIMP 
(DECAPODA:  PENAEIDAE) 

A  two-headed  roughback  shrimp,  Trachypenaeiis 
similis  (Smith),  caught  at  the  entrance  to  Galveston 
Bay,  TX  10  May  1987  by  Harold  Fraley,  together 
with  a  color  photograph  of  the  specimen  taken  sub- 
sequent to  capture,  was  sent  to  me  for  identifica- 
tion, morphological  examination,  and  deposit  in  the 
crustacean  collection  of  the  National  Museum  of 
Natural  History  (USNM  234419),  Smithsonian 
Institution. 

The  specimen  (Fig.  1)  is  composed  of  two  cephalo- 
thoraxes  (heads)  perfectly  aligned  with  the  median 
sagittal  plane  and  conjoined  posteriorly  to  an  un- 
paired, normally  segmented  abdomen.  The  cephalo- 
thoraxes  and  abdomen  were  disarticulated  when  the 
preserved  specimen  reached  me  in  October  1987,  but 
were  restored  to  normal  position  easily  with  aid  of 
the  photograph  as  a  guide.  The  lower  cephalothorax 
is  that  of  an  adult  female,  carapace  length  including 
rostrum  32  mm,  short  carapace  length  (orbital 
margin  to  posteromedian  edge  of  carapace)  21  mm; 
respective  measurements  for  the  upper  carapace  are 
34.4  mm  and  21.7  mm.  The  abdomen  is  flexed  and 


twisted  to  the  left,  and  the  fourth  and  fifth  segments 
are  damaged,  hence  its  length  cannot  be  measured 
accurately.  Comparison  of  the  specimen  with  sper- 
matophore  bearing  females  of  the  species  in  the 
USNM  crustacean  collection  indicates  that  it  is  adult 
in  size,  about  85  mm  total  length. 

Shrimps  are  sometimes  caught  and  preserved 
while  in  the  act  of  molting.  In  that  event  the  cara- 
pace being  molted  tends  to  be  loosened  at  the 
thoraco-abdominal  juncture  so  that  its  posterior  end 
can  be  flipped  dorsally  and  away,  freeing  the  husk- 
like old  carapace  from  the  underlying  soft  new  cara- 
pace. A  first  impression  that  this  specimen  was 
caught  and  preserved  while  in  the  act  of  molting  was 
not  borne  out  by  the  structures  observed. 

The  integument  of  each  carapace  is  firm,  as  is  that 
of  the  other  exoskeletal  parts.  Both  carapaces  are 
similar  in  shape  and  structure,  including  the  part 
of  the  lower  carapace  that  is  hidden  by  the  upper 
one.  It  is  noteworthy  that  the  upper  carapace  is 
larger  than  the  lower,  just  the  opposite  of  what 
would  be  expected  if  the  upper  one  represented  an 
ecdysial  discard.  Eyes  in  both  heads  have  normal 
dark  corneal  pigment,  though  the  corneal  surfaces 
are  shriveled  by  preservation.  Antennules,  anten- 


FlGURE  1.— Conjoined  twin  Trachypenaeus  similis  in  diagrammatic  lateral  view,  distal  parts  of  appendages  inten- 
tionally deleted,  except  for  those  of  uropods.    Scale  =  1  cm. 


FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


595 


nae,  mandibles  and  associated  palps,  first  and  sec- 
ond maxillae,  and  first,  second,  and  third  maxilli- 
peds  are  present  and  apparently  normal  on  both 
heads,  though  the  antennal  flagella  are  broken 
and  the  right  third  maxilliped  has  apparently  been 
lost  from  the  upper  head.  Similarity  in  the  ceph- 
alothoraxes  is  limited  to  features  pointed  out 
above. 

The  lower  cephalothorax  has  normal  appendages 
and  internal  organs,  or  traces  of  them,  except  for 
some  broken  and  missing  articles  on  the  pereopods. 
The  heart,  hepatopancreas,  and  gonads  apparently 
disintegrated  during  the  interval  of  time  between 
capture  and  fixation,  hence  lost  all  traces  of  their 
conformation  in  life.  Fluids  from  the  disrupted  cir- 
culatory system  were  fixed  as  irregular  clots.  The 
mouth,  esophagus,  stomach,  and  a  fragment  of  the 
gut  are  present,  though  the  latter  is  connected 
neither  to  the  pyloric  stomach  nor  to  the  sector  of 
intestine  that  courses  through  the  abdomen  to  the 
anus.  However,  one  can  visualize  that  the  path  of 
the  intestine  in  the  lower  cephalothorax  was  func- 
tionally normal  before  it  was  disrupted  by  break- 
down of  the  other  internal  organs  that  surrounded 
it  in  life. 

The  upper  cephalothorax  lacks  a  mouth,  the  ster- 
nal plate  between  the  mouthparts  is  not  perforated, 
and  there  is  no  esophagus,  stomach,  or  fragment  of 
intestine.  It  seems  therefore  that  the  upper  cepha- 
lothorax, though  equipped  with  normal  head  append- 
ages, could  not  function  in  feeding.  Moreover,  the 
rear  part  of  the  upper  cephalothorax  fitted  over  the 
rear  part  of  the  lower  one  like  a  firmly  pulled  down 
cap,  with  its  branchiostegites  deeply  overlapping 
those  of  the  lower  one.  In  this  arrangement  the 
posterior  part  of  the  lower  cephalothorax  filled 
the  space  that  would  normally  have  been  occupied 
by  pereopods,  external  reproductive  structures, 
thoracic  endophragmal  system  and  body  wall, 
gills,  and  internal  organs  of  the  upper  cepha- 
lothorax. As  a  result  there  was  little  or  no  room  for 
development  of  these  structures  in  the  upper 
cephalothorax,  although  there  may  have  been  a 
heart.  The  membrane  that  lined  the  branchiostegites 
and  body  wall  of  the  upper  cephalothorax  seems  to 
have  extended  backward  from  the  region  of  the 
cervical  groove  to  merge  with  its  counterpart  in  the 
posterior  region  of  the  lower  cephalothorax,  and 
with  the  normal  integumental  lining  of  the  abdomen 
in  order  to  have  maintained  confluence  in  the  blood 
sinuses. 

The  abdomen,  though  crushed  at  the  level  of  the 
fourth  and  fifth  segments,  bears  normal  pleopods, 
uropods,  and  telson.  The  anterior  end  of  the  ab- 


dominal muscle  mass  is  preserved  in  a  shape  that 
fits  the  posterior  end  of  both  cephalothoraxes,  but 
the  main  connection  extended  into  the  functional 
lower  one  in  which  complete  organ  systems  were 
located. 

There  is  a  large  literature  treating  malformations 
of  decapod  crustaceans,  primarily  lobsters,  fresh- 
water crayfishes,  and  crabs,  but  there  is  little  pub- 
lished information  of  this  sort  on  shrimps  (Bateson 
1894;  Johnson  1968;  Johnson  and  Chapman  1969; 
Pauley  1974),  aside  from  the  subject  of  disease  which 
is  not  at  issue  here  (Couch  1978).  The  most  ex- 
haustive account  is  that  of  Bateson  who,  along  with 
many  others  before  and  after,  discussed  duplication 
of  parts,  intersexes,  and  malformations  that  occur 
during  molting,  Perez  Farfante  (1980),  for  example, 
noted  anomalous  intersexes  in  the  Indo-West  Pacific 
needle  shrimp,  Penaeopsis  rectacuta  (Bate).  The 
majority  of  these  accounts  treat  malformed  limbs 
or  their  parts  (for  a  well-illustrated  example  see 
Shuster  et  al.  1963).  Fewer  studies  are  concerned 
with  teratology. 

Monsters  with  fused  double  cephalothoraxes, 
though  rare,  have  long  been  known  among  larvae 
of  the  lobsters  Homarus  americanus  H.  Milne 
Edwards  and  H.  gammartis  (Linnaeus)  (Herrick 
1896,  1911).  Ryder  (1886)  noted  four  forms  of  con- 
joined twins  in  larval  American  lobsters:  lateral 
fusion  of  cephalothoraxes  that  demonstrated 
absence  of  eyes,  possession  of  a  single  median  eye 
or  paired  eyes  representing  the  right  eye  of  the  right 
larva  and  left  eye  of  the  left  larva,  while  the  ab- 
domens of  each  type  were  separate  and  divergent 
at  a  wide  angle,  and  cephalothoraxes  of  two  embryos 
fused  together  along  their  dorsal  surfaces,  with  full 
complement  of  eyes,  appendages,  and  separate  ab- 
domens, but  with  internal  organ  systems  fused. 
Ryder  attributed  all  of  these  twinnings  to  fusion 
coincident  with  the  process  of  gastrulation  and 
gradual  formation  of  the  embryos.  Herrick  (1896, 
1911)  discussed  and  figured  some  of  these  cases  also 
but  thought  that  fusion  came  later  in  development 
than  gastrulation. 

I  have  found  no  account  of  conjoined  twinning  in 
shrimps,  and  no  report  of  twinning  that  parallels  the 
case  presented  here.  What  is  amazing  is  that  an 
animal  so  bizarre  could  molt  at  all,  let  alone  progress 
through  a  series  of  molts  to  attain  mature  size. 
Whether  the  deformity  resulted  from  embryonic 
malformation  or  from  subsequent  injury  cannot  now 
be  determined,  although  angle  of  divergence  and 
median  sagittal  alignment  of  the  cephalothoraxes 
suggests  that  the  malformation  resulted  from  aber- 
rant molting. 


596 


Acknowledgments 

I  thank  R.  J.  Zimmerman  and  K.  N.  Baxter, 
Southeast  Fisheries  Center  Galveston  Laboratory, 
National  Marine  Fisheries  Service,  for  directing  the 
specimen  to  me.  J.  C.  Harshbarger  aided  with 
sources  of  information  on  pathology,  and  I.  Perez 
Farfante  with  B.  B.  Collette  critically  reviewed  the 
manuscript.  Keiko  Hiratsuka  Moore  rendered  the 
illustration. 

Literature  Cited 

Bateson,  W. 

1894.    Materials  for  the  study  of  variation  treated  with 
especial  regard  to  discontinuity  in  the  origin  of  species. 
MacMillan  and  Co.,  London  and  New  York,  xvi  +  598  p. 
Couch,  J.  A. 

1978.    Diseases,  parasites,  and  toxic  responses  of  commercial 
penaeid  shrimps  of  the  Gulf  of  Mexico  and  south  Atlantic 
coasts  of  North  America.    Fish.  Bull.,  U.S.  76:1-44. 
Herrick,  F.  H. 

1896.    The  American  lobster.  A  study  of  its  habits  and  devel- 
opment.   Bull.  U.S.  Fish  Comm.  15(for  1895):l-252,  pis. 
A-J,  1-54. 
1911.    Natural  history  of  the  American  lobster.    Bull.  U.S. 
Bur.  Fish.  29(for  1909):147-408,  pis.  28-32. 
Johnson,  P.  T. 

1968.  An  annotated  bibliography  of  pathology  in  inverte- 
brates other  than  insects.  Burgess  Pub.  Co.,  Minneapolis, 
MN,  xiii  +  322  p. 

Johnson,  P.  T.,  and  F.  A.  Chapman. 

1969.  An  annotated  bibliography  of  pathology  in  inverte- 
brates other  than  insects.  Suppl.  Cent.  Pathobiol.,  Univ. 
Calif.  Irvine,  Misc.  Publ.  No.  l:i-ii,  1-76. 

Pauley,  G.  B. 

1974.    A  bibliography  of  pathology  in  invertebrates  other  than 
insects  from  1969-1972.    NOAA-NMFS  Middle  Atlantic 
Coastal  Fisheries  Center  Pathology  Investigations,  Oxford, 
MD,  Informal  Rep.  No.  24:i-ii,  1-122. 
PEREZ  Farfante,  I. 

1980.    Revision  of  the  penaeid  shrimp  genus  Penaeopsis 
(Crustacea:  Decapoda).    Fish.  Bull.,  U.S.  77:721-763. 
Ryder,  J.  A. 

1886.    The  monstrosities  observed  amongst  recently  hatched 
lobsters.    Am.  Nat.  20(8):742-743. 
Shuster,  C.  N.,  Jr.,  D.  H.  B.  Ulmer,  Jr.,  and  W.  A.  Van  Engel. 
1963.    A  commentary  on  claw  deformities  in  the  blue  crab. 
Univ.  Del.  Estuarine  Bull.  7(2&3):15-23. 


Austin  B.  Williams 


Systematics  Laboratory 

National  Marine  Fisheries  Service,  NOAA 

National  Museum  of  Natural  History 

Smithsonian  Institution 

Washington,  DC  20560 


NOTE  ON  MUSCLE  GLYCOGEN  AS 

AN  INDICATOR  OF  SPAWNING  POTENTIAL 

IN  THE  SEA  SCALLOP, 

PLACOPECTEN  MAGELLANICUS 

During  the  reproductive  cycle  of  the  Atlantic  sea 
scallop,  Placopecten  magellanicus,  glycogen  levels 
rise  and  fall  in  the  hemolymph  (Thompson  1977)  and 
in  the  adductor  muscle  (Robinson  et  al.  1981;  Gould 
1983),  reflecting  the  buildup  of  glycogen  reserves 
in  the  muscle  and  their  later  transfer  to  the  gonad. 
Muscle  glycogen  normally  rises  to  a  yearly  peak  in 
spring  after  the  phytoplankton  blooms,  then  is  trans- 
ferred to  the  gonad  for  gamete  differentiation  and 
maturation  (Robinson  et  al.  1981).  The  glycogen 
transfer  is  followed  by  an  increase  in  size  of  the 
maturing  gonad  and  a  loss  of  muscle  weight  (Gould 
1983).  During  the  autumnal  algal  blooms,  glycogen 
levels  in  the  muscle  rise  again  slightly  and  drop 
thereafter  to  an  annual  low  during  the  winter 
months,  when  the  small  energy  reserves  are  used 
for  basal  maintenance  and  to  initiate  gametogenesis. 

Glycogen  reserves  from  the  muscle  and  lipid 
reserves  from  the  digestive  gland  are  the  major 
sources  of  stored  energy  supplied  to  the  scallop 
gonad.  High  spring  glycogen  levels  most  drama- 
tically indicate  the  degree  of  buildup  of  energy 
stores  used  to  fuel  gamete  differentiation  and 
maturation,  whereas  low  winter  muscle  glycogen 
levels  correspond  to  the  postspawning  exhaustion 
of  reserves.  Winter  values  higher  than  the  normal 
range  for  any  given  population,  therefore,  could  in- 
dicate an  unusually  large  and  extended  period  of 
nutrient  availability,  but  more  probably  would  sug- 
gest resorption  of  gametes. 

We  suggest,  therefore,  that  the  spring  peak  and 
the  winter  ebb  of  muscle  glycogen  be  used  as  meas- 
ures of  the  relative  spawning  potential  and  spawn- 
ing success,  respectively,  for  Placopecten.  Sampling 
during  these  two  seasons  may  readily  provide  infor- 
mation on  the  recruitment  contribution  of  different 
scallop  populations. 

Timing  of  the  seasonal  high  and  low  values  for  this 
metabolic  parameter  can  vary  by  several  weeks  from 
year  to  year,  reflecting  the  timing  and  intensity  of 
phytoplankton  blooms  (themselves  dependent  on 
other  environmental  variables),  and  the  time  and 
degree  of  success  in  spawning.  To  obtain  a  practical 
data  base  for  this  major  measure  of  seasonal  energy 
reserves,  therefore,  we  sampled  a  single  bed  of  sea 
scallops  off  Asbury  Park,  NJ,  on  a  year-round 
monthly  basis  for  3V2  years.  In  examining  mean  an- 
nual high  and  low  muscle  glycogen  values  for  these 
scallops,  data  were  averaged  for  animal  collections 


FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988. 


597 


from  mid- April  through  June  each  year  to  arrive  at 
a  general  value  for  the  spring  buildup  and  peak.  Al- 
though such  values  do  not  indicate  the  maximal 
glycogen  values,  which  may  be  reached  either  gradu- 
ally or  quickly  in  any  of  those  months,  an  average 
better  enables  year-to-year  comparisons.  Data  for 
collections  from  late  November  through  February 
were  similarly  averaged  to  obtain  a  value  for  the 
postspawning  winter  period  of  low  muscle  glycogen. 
We  used  this  same  parameter  for  specimens  col- 
lected from  random  sites  in  the  Gulf  of  Maine,  and 
found  a  different  seasonal  pattern  in  scallops  from 
depths  greater  than  ca.  110  m.  Because  these  deep- 
water  sea  scallops  came  from  many  different  sites 
in  the  Gulf  of  Maine,  data  were  averaged  for  each 
collection  date  for  each  site.  This  report  presents 
our  data  for  spring  and  winter  adductor  muscle 
glycogen  in  a  single  subtital  sea  scallop  population 
for  the  years  1981-84,  and  in  deepwater  sea  scallops 
from  the  Gulf  of  Maine  for  1980-82. 

Materials  and  Methods 

Asbury  Park  sea  scallops  were  collected  by  trawl 
from  a  site  31m  deep  on  the  southern  shelf  of  the 
Hudson  River  Canyon  off  Asbury  Park,  approx- 
imately 37  km  NNE  of  Manasquan  Inlet  (ca.  40°  13' 
X  73° 47').  Collections  were  made  at  monthly  inter- 
vals from  spring  1981  through  late  July  1984  and 
during  two  intensive  weekly  sampling  periods  from 
early  May  through  mid- June  in  1983  and  1984,  to 
monitor  the  spring  buildup  of  muscle  glycogen.  For 
some  months,  particularly  in  the  spring  of  1982, 
collections  were  not  available.  Each  collection 
comprised  6  males  and  6  females  (shell  height 
95-110  mm).  The  sea  scallops  were  held  overnight 
in  5°C  aerated  seawater  at  the  Northeast  Fisheries 
Center's  (NEFC)  laboratory  at  Sandy  Hook,  NJ,  and 


transported  the  following  day  in  a  cooler  to  the 
Milford,  CT,  NEFC  laboratory.  For  transport,  the 
sea  scallops  were  placed  on  top  of  paper  toweling 
that  had  been  soaked  in  seawater,  then  wrung  out 
and  layered  over  ice  enclosed  in  a  sealed  plastic  bag. 
The  animals  were  dissected  the  same  day,  and  all 
tissue  specimens  were  stored  at  -80°C  until  test- 
ing, (jonad  volumes  were  also  noted.  Deepwater  sea 
scallops  were  dissected  on  shipboard  immediately 
after  collection  by  trawl,  and  the  muscle  tissue  held 
at  -40°C  while  at  sea,  then  transferred  on  dry  ice 
to  the  -80°C  freezer  in  Milford.  Because  we  relied 
on  volunteer  help  for  many  of  these  collections, 
gonad  data  were  not  always  available  for  shipboard 
samples  of  adductor  muscle  from  deepwater  sea 
scallops. 

Muscle  dissection,  tissue  preparation,  and  the  pro- 
cedure for  glycogen  analysis  are  described  in  detail 
elsewhere  (Gould  et  al.  1985);  glycogen  levels  are 
presented  as  /ig  of  glucose  per  gram  of  wet  tissue 
(pig  g"0-  Because  there  were  no  detectable  differ- 
ences between  sexes  for  muscle  glycogen  levels, 
data  for  males  and  females  were  combined. 


Results  and  Discussion 

Asbury  Park  Sea  Scallops 

In  the  spring  of  1981,  the  Asbury  Park  sea  scallops 
had  muscle  glycogen  levels  averaging  higher  than 
2,000  fig  g"^  (Table  1).  Such  levels  are  not  uncom- 
mon in  well-fed  scallop  populations,  as  observed 
during  several  years  of  monitoring  activity  on  the 
continental  shelf  off  New  England  and  the  mid- 
Atlantic  states  (Gould  1981,  1983)  during  the 
NEFC's  Ocean  Pulse/Northeast  Monitoring  Pro- 
gram (NEMP)  and  the  NEFC's  Resource  Assess- 
ment surveys.  The  mean  annual  low  levels  in  the 


Table  1.— Seasonal  high  and  low  levels  in  adductor  muscle  glycogen  for  both  males  and 
females  in  a  single  population  of  sea  scallops  off  Asbury  Park,  NJ.  Values  were  averaged 
for  mean  seasonal  highs  during  and  after  spring  phytoplankton  blooms  (April,  May,  June)  and 
for  mean  seasonal  lows  after  spawning  (December,  January,  February).  Gonad  volumes  are 
also  shown  for  the  same  time  periods. 


Muscle  glycogen 

Gonad  volume 

Sample 

{>igg" 

') 

Am 

nual  ratio 

(mL) 

Year 

Season 

N 

X 

SE 

spring:winter 

X 

SE 

1981 

Spring 

34 

2,217 

283 

no 

data 

1982 

Spring 

24 

544 

32 

5.42 

0.74 

1983 

Spring 

84 

610 

15 

6.23 

0.29 

1984 

Spring 

72 

254 

12 

4.51 

0.24 

1981-82 

Winter 

22 

203 

18 

10.9 

6.50 

0.47 

1982-83 

Winter 

24 

226 

14 

2.4 

3.00 

0.46 

1983-84 

Winter 

12 

490 

57 

1.2 

2.75 

0.39 

598 


Asbury  Park  sea  scallops  the  following  winter  were 
within  the  normal  range  (200-300  /ig  g^^)  observed 
for  sea  scallop  populations  over  those  same  years 
of  monitoring. 

In  1982  and  1983,  the  Asbury  Park  sea  scallops 
were  apparently  adequately  fed  during  the  spring 
months,  although  glycogen  levels  were  less  than  one 
third  of  those  seen  in  1981  and  had  no  discernible 
peak.  Muscle  glycogen  in  the  winter  months  of  1983 
and  1984,  however,  was  sufficiently  high  in  both 
sexes  (as  compared  with  postspawning  levels  for  this 
population,  and  with  mean  winter  levels  in  other 
populations)  to  prompt  the  suspicion  that  gamete 
resorption  had  taken  place,  and  that  the  1983 
spawning  season  had  not  been  very  successful. 
Moreover,  although  an  intensive  weekly  sampling 
was  performed  in  May  and  June  1984,  we  did  not 
observe  the  normal  seasonal  increase  in  muscle 
glycogen;  instead,  the  values  resembled  those  of  a 
typical  winter  low.  When  spring  values  for  each  year 
are  compared  with  the  subsequent  winter's  post- 
spawning  values  (Table  1),  a  picture  emerges  of 
declining  nutritional  status  from  1981  to  the  end  of 
the  study. 

It  is  possible,  of  course,  that  the  spring  values  in 
1982  and  1983  were  more  typical  for  this  popula- 
tion and  that  spring  values  for  1981  may  have  been 
unusually  high.  The  latter  phenomenon  could  have 
been  the  result  of  especially  heavy  phytoplankton 
blooms,  or  of  oceanic  currents  favorable  to  the  bot- 
tom settlement  of  planktonic  nutrients.  Certainly 
the  most  important  single  variable  is  nutrient 
availability. 

The  1984  glycogen  levels  indicated  either  that 
little  or  no  food  was  available  to  the  sea  scallops  (at 
30  m),  or  that  they  were  not  assimilating  normally 
any  food  that  was  available.  This  phenomenon  has 
yet  to  be  explained  satisfactorily,  because  the  phyto- 
plankton bloom  in  the  area  that  year  was  extensive 
(J.  O'Reillyi).  Steven  K.  Cook^  had  suggested  that 
some  oceanographic  event,  such  as  the  inshore  intru- 
sion of  an  offshore  water  mass  known  as  the  "cold 
pool"  (e.g.  Hopkins  and  Garfield  1979)  may  have 
caused  an  unusually  early  formation  of  a  thermo- 
cline,  one  that  effectively  prevented  settlement  of 
planktonic  detritus  to  the  bottom.  Whatever  the 
reason,  the  Asbury  Park  sea  scallops  showed  dimin- 
ishing glycogen  reserves  for  spawning  from  1981 
to  the  end  of  the  study  in  1984.  Either  planktonic 


nutrients  were  not  reaching  that  population,  or  food 
was  available  but  the  sea  scallops  were  not  feeding 
or  assimilating  properly. 

If  the  latter  should  be  the  case,  it  is  perhaps  rele- 
vant that  the  Asbury  Park  sea  scallop  population 
lies  approximately  24  km  downstream  from  the 
Christiaensen  Basin,  where  general  current  patterns 
are  southwesterly.  Several  active  dumpsites  are 
located  in  the  Christiaensen  Basin,  including  those 
for  New  York's  sewage  sludge  and  dredge  spoils, 
where  copper  is  a  major  contaminant  (see  Steimle 
et  al.  1982).  Moreover,  as  little  as  10  ^g  L"^  copper 
in  the  water  column  has  been  shown  to  interfere 
with  gamete  production  and  maturation  (resorbing 
gametes)  and  probably  also  with  feeding  or  nutri- 
ent assimilation  in  Placopecten  magellanicus  (Gould 
et  al.  1985,  1988).  Chemical  analysis  of  tissues  from 
these  same  Asbury  Park  sea  scallops  is  under  way, 
to  determine  whether  metal  levels  were  sufficient- 
ly elevated  to  induce  this  effect. 

Deepwater  Scallops 

A  data  pattern  for  muscle  glycogen  similar  to  that 
seen  in  the  Asbury  Park  sea  scallops  for  1984  has 
been  observed  in  deepwater  sea  scallops  taken  from 
various  sites  in  the  Gulf  of  Maine  (Table  2).  These 
sea  scallop  beds  were  sampled  randomly  during  the 
NEFC  trawl  survey  cruises,  and  one  fixed  station 
was  sampled  seasonally  during  NEFC  NEMP 
cruises  (Gould  1981,  1983).  Sea  scallops  taken  from 
waters  >110  m  deep  routinely  showed  very  low 
glycogen  levels  throughout  the  year,  the  highest  an- 
nual levels  being  reached  in  December.  In  the  fall, 
vertical  mixing  of  the  subsurface  and  intermediate 
water  increases  to  as  deep  as  150  m  (McLellan  et 
al.  1953;  Colton  1968;  Hopkins  and  Garfield  1979; 
Mountain  and  Jessen  1987),  with  the  disappearance 
of  any  strong  thermocline.  In  a  recent  comparison 
of  food  resources  in  shallow  (20  m)  and  in  deepwater 
(180  m)  populations,  Shumway  et  al.  (1987)  observed 
that  a  number  of  intact  planktonic  algal  species 
reached  the  deepwater  sea  scallops  after  the  fall 
phytoplankton  bloom;  this  late  annual  food  source 
"may  provide  just  enough  energy  to  sustain  the 
population."  On  the  whole,  however,  nutrient  avail- 
ability is  very  low  at  such  depths,  as  indicated  by 
the  absence  of  chlorophyll  in  the  deeper  water 
column  (J.  O'Reilly^). 

Deepwater  sea  scallops  are  visibly  undernourished 


U.  O'Reilly,  Northeast  Fisheries  Center  Sandy  Hook  Laboratory, 
National  Marine  Fisheries  Service,  NOAA,  P.O.  Box  428,  High- 
lands, NJ  07732,  pers.  commun.  October  1984. 

^Steven  K.  Cook,  National  Weather  Service,  2980  Pacific  High- 
way, San  Diego,  CA  92101,  pers.  commun.  March  1984. 


^J.  O'Reilly,  Northeast  Fisheries  Center  Sandy  Hook  Laboratory, 
National  Marine  Fisheries  Service,  NOAA,  P.O.  Box  428,  High- 
land, NJ  07732,  pers.  commun.  May  1985. 


599 


Table  2.— Mean  seasonal  high  and  low  levels  of  adductor  muscle  glycogen  in  deepwater  sea 
scallop  populations  of  the  Gulf  of  Maine. 


Station 
coordinates 


Lat. 


Long. 


Date  of 
collection 


Depth 
(m) 


Bottom 

temperature 

CC) 


Sample 
N 


Mean 

gonad 

volume 

(mL) 


Muscle 
glycogen 
0^9  g"^) 


43'='21' 

'69O03' 

01/29/82 

160 

7.0 

12 

2.25 

153 

43023' 

69055' 

04/23/80 

168 

4.2 

5 



303 

43°25' 

69022 

04/23 

180 

4.9 

5 

— 

164 

43"  16' 

6904O' 

04/23 

159 

4.0 

5 

— 

248 

43''20' 

69O03' 

05/07 

155 

5.0 

5 

— 

282 

43021' 

67O06' 

05/07 

155 

5.0 

4 

— 

274 

42°49' 

68049' 

05/10/81 

202 

6.0 

2 



145 

43°07' 

68042' 

05/10 

174 

5.5 

8 

— 

199 

43°30' 

6903O' 

05/24 

144 

4.2 

12 

— 

178 

43»33' 

69=07' 

05/24 

152 

8.4 

4 

— 

180 

44°21' 

67021' 

08/03/82 

137 

10.4 

12 

4.70 

178 

42°56' 

70O16' 

08/16/80 

155 

4.9 

8 

— 

226 

43°26' 

69057' 

08/16 

134 

5.3 

9 

— 

120 

43°21' 

^69003' 

08/24/82 

156 

5.5 
(at  100  m) 

12 

8.67 

361 

43021 ' 

'69O03' 

09/07/80 

155 

6.0 

18 

9.09 

133 

43017' 

690 18' 

11/04/80 

161 

6.0 

10 

— 

437 

430 18' 

69O03' 

11/04 

167 

7.2 

10 

— 

330 

430OO' 

6902O' 

11/04 

181 

5.8 

10 

— 

318 

43037' 

69032' 

11/04 

113 

8.1 

5 

— 

582 

43021 ' 

^69003' 

12/06/82 

160 

7.5 

12 

2.42 

587 

43025' 

69022' 

12/06 

162 

10.0 

12 

3.75 

495 

430 18' 

70=03' 

12/07 

158 

7.2 

12 

2.67 

409 

42059' 

70=10' 

12/07 

183 

7.8 

13 

2.58 

424 

'Deepwater  station  off  Toothaker  Ridge  that  was  sampled  whenever  possible;  other  stations  were  selected 
randomly  during  resource  survey  cruises. 


(thin  shells  and  small  adductor  muscles),  lack  the 
necessary  glycogen  reserves  for  successful  spawn- 
ing, and  very  probably  resorb  gametes.  Moreover, 
bottom  temperatures  seldom  reach  10°C  (Moimtain 
and  Jessen  1987),  the  lowest  temperature  at  which 
Placopecten  magellanicus  has  been  observed  to 
spawn  (Culliney  1974).  In  a  recent  study  of  a  single 
deepwater  sea  scallop  population  in  the  Gulf  of 
Maine,  Barber  et  al.  (1988)  report  reduced  fecun- 
dity, followed  by  gamete  resorption  and  a  possible 
minor  spring  spawning,  in  turn  followed  by  redevel- 
opment, continued  resorption,  and  an  abrupt  fall 
spawning  attempt.  Almost  certainly,  deepwater  sea 
scallops  do  not  spawn  successfully.  Recruitment  to 
these  beds,  therefore,  would  be  haphazard  and 
originate  both  from  populations  on  nearby  ledges 
and  from  spatfall  out  of  the  Gulf  of  Maine  gyre,  from 
upstream  spawning  populations. 

We  have  reported  here  that  glycogen  levels  in 
Placopecten  magellanicus  adductor  muscle,  meas- 
ured during  the  annual  peak  period  in  late  spring 
and  during  the  annual  low  period  in  winter,  can  in- 
dicate scallop  populations  with  little  energy  reserves 
for  successful  spawning.  In  the  case  of  the  deep- 


water  sea  scallops  in  the  Gulf  of  Maine,  lack  of  avail- 
able nutrients  is  undoubtedly  the  reason  for  their 
low  muscle  glycogen.  Still  to  be  clarified  are  the 
events  leading  to  the  1984  failure  of  the  Asbury 
Park  sea  scallops  to  develop  the  necessary  energy 
reserves  for  spawning. 

Acknowledgment 

We  are  grateful  to  Vincent  S.  Zdanowicz  and 
Anthony  L.  Pacheco  (NMFS,  NEFC,  Sandy  Hook 
Laboratory,  NJ)  for  making  possible  the  Asbury 
Park  collections,  and  to  Thomas  R.  Azarovitz,  Don- 
ald D.  Flescher,  Henry  W.  Jensen,  Malcolm  J.  Siver- 
man,  and  their  trawl-survey  colleagues  (NMFS, 
NEFC,  Woods  Hole  Laboratory,  MA)  for  the  deep- 
water  scallop  collections.  We  also  thank  Laure  A. 
Devine,  Todd  M.  Welch,  and  Beth  C.  Marks  for 
technical  assistance. 

Literature  Cited 

Barber,  B.  J.,  R.  Getchell,  S.  Shumway,  and  D.  Schick. 
1988.    Reduced  fecundity  in  a  deep-water  population  of  the 


600 


giant  scallop,  Placopecten  magellanicus  (Gmelin),  in  the  Gulf 
of  Maine,  U.S.A.    Mar.  Ecol.  Prog.  Ser.  42:207-212. 
COLTON,  J. 

1968.  Recent  trends  in  subsurface  temperatures  in  the  Gulf 
of  Maine  and  contiguous  waters.  J.  Fish.  Res.  Board  Can. 
25:2427-2437. 

CULLINEY,  J.  L. 

1974.    Larval  development  in  the  giant  scallop  Placopecten 
magellanicus  (Gmelin).    Biol.  Bull.  147:321-332. 
Gould,  E. 

1981.    Field  stress  in  the  scallop  Placopecten  nuigellanieus. 

I.C.E.S.  (MEQC),  C.M.1981/E:7,  16  p. 
1983.    Seasonal  biochemical  patterns  for  a  single  population 
of  sea  scallops,  Placopecten  magellaniais,  and  their  use  in 
interpreting  field  data.    I.C.E.S.  (MEQC),  C.M.1983/E:57, 
17  p. 
Gould,  E.,  R.  A.  Greig,  D.  Rusanowsky,  and  B.  C.  Marks. 
1985.    Metal-exposed  sea  scallops,  Placopecten  magellanicus 
(Gmelin):  A  comparison  of  the  effects  and  uptake  of  cad- 
mium and  copper.    In  F.  J.  Vernberg,  F.  P.  Thurberg,  A. 
Calabrese,  and  W.  B.  Vernberg  (editors),  Marine  pollution 
and  physiology:  recent  advances,  p.  157-186.    Acad.  Press, 
N.Y. 
Gould,  E.,  R.  J.  Thompson,  L.  J.  Buckley,  D.  Rusanowsky, 
AND  G.  R.  Sennefelder. 
1988.    Uptake  and  effects  of  copper  and  cadmium  in  the  gonad 
of  the  scallop  Placopecten  magellanicus:  Concurrent  metal 
exposure.    Mar.  Biol.  97:217-223. 
Hopkins,  T.S.,  and  N.  Garfield  III. 

1979.    Gulf  of  Maine  intermediate  water.    J.  Mar.  Res.  37: 
103-139. 
McLellan,  H.  J.,  L.  Lauzier,  and  W.  B.  Bailey. 

1953.    The  slope  water  off  the  Scotian  shelf.    J.  Fish.  Res. 
Board  Can.  10(4):155-176. 
Mountain,  D.  G.,  and  P.  F.  Jessen. 

1987.    Bottom  waters  of  the  Gulf  of  Maine,  1978-1983.    J. 
Mar.  Res.  45:319-345. 
Robinson,  W.  E.,  W.  E.  Wehling,  M.  P.  Morse,  and  G.  C. 
McLeod. 

1981.  Seasonal  changes  in  soft-body  component  indices  and 
energy  reserves  in  the  Atlantic  sea  scallop,  Placopecten 
magellanicus.    Fish.  Bull.  79:449-458. 

Shumway,  S.  E.,  R.  Selvin,  and  D.  F.  Schick. 

1987.  Food  resources  related  to  habitat  in  the  scallop  Placo- 
pecten magellanicus  (Gmelin,  1791):  A  qualitative  study. 
J.  Shellfish  Res.  6(2):89-95. 

Steimle,  F.  J.  Caracciolo,  and  J.  B.  Pearce. 

1 982.  Impacts  of  dumping  on  New  York  Bight  Apex  benthos. 
In  G.  F.  Mayer  (editor).  Ecological  stress  and  the  New  York 
Bight:  science  and  management,  p.  213-223.  Estuarine 
Res.  Fed.,  Columbia,  SC. 

Thompson,  R.  J. 

1977.  Blood  chemistry,  biochemical  composition,  and  the  an- 
nual reproductive  cycle  in  the  giant  scallop,  Placopecten 
magellanicus,  from  southeast  Newfoundland.  J.  Fish.  Res. 
Board  Can.  34:2104-2116. 

Edith  Gould 

Diane  Rusanowsky 

Donna  A.  Luedke 

Northeast  Fisheries  Center  Milford  Laboratory 
National  Marine  Fisheries  Service,  NOAA 
212  Rogers  Avenue 
Milford,  CT  06460 


VERTICAL  DISTRIBUTION  AND 

MASS  MORTALITY  OF 

PRAWNS,  PANDALUS  PLATYCEROS,  IN 

SAANICH  INLET,  BRITISH  COLUMBIA 

Prawn,  or  spot  prawn,  Pandalus  platyceros  Brandt, 
1851,  British  Columbia's  largest  shrimp  species,  is 
extensively  fished  in  Canada  and  is  of  considerable 
economic  importance  (Noakes  and  Jamieson  1986). 
The  species  ranges  from  California  to  Alaska  and, 
being  largely  associated  with  rocky  terrain,  is  fished 
with  traps  in  many  of  the  region's  coastal  inlets 
(Butler  1980). 

This  study  reports  a  fortuitous  observation  of 
catastrophic  mortality  of  prawn  in  Saanich  Inlet, 
noted  during  a  series  of  observations  on  the  vertical 
distribution  of  prawn  on  the  walls  of  this  fjord  using 
a  submersible.  These  observations  are  important 
because,  under  the  circumstances  involved,  these 
mobile  benthic  organisms  had  ample  opportunity  to 
avoid  the  apparent  rapid  intrusion  of  lethal  environ- 
mental conditions  by  moving  upwards,  and  thereby 
remaining  in  a  favorable  environment. 

Well-documented  sudden  mass  deaths  of  adult 
marine  invertebrates  in  subtidal  environments  have 
usually  been  associated  with  man-induced  environ- 
mental perturbation,  such  as  an  oil  spill,  pollutant 
discharge,  entrainment  of  organisms  into  a  lethal 
environment  (e.g.,  dredge  or  power  plant  cooling 
water  intake),  or  the  entrapment  of  benthic  organ- 
isms by  some  lethal  environmental  event  (Tulkki 
1965).  However,  the  selective  high  mortality  of  one 
or  only  a  few  species  in  a  subtidal  community,  with 
no  associated  physical  habitat  perturbation  and  with 
apparent  opportunity  for  escape,  has  been  infre- 
quently described  in  documented  catastrophic  mor- 
talities (Brongersma-Sanders  1957;  Swanson  and 
Sindermann  1979;  Levings  1980a,  b;  Tunnicliffe 
1981;  Burd  and  Brinkhurst  1984,  1985;  Renaud 
1986).  It  is  known  that  species  differ  in  their  rela- 
tive tolerances  to  environmental  stress  (e.g.,  Renaud 
1986),  but  for  subtidal  invertebrates,  the  proximity 
to  lethal  conditions  of  the  majority  of  a  population 
for  extended  time  periods  has  not  been  generally 
noted.  This  study  shows  that  prawn  may  occur  close 
to  lethal  environmental  conditions,  and  that  abrupt 
mortality  results  if  lethal  water  conditions  sudden- 
ly intrude.  In  certain  locations,  such  mortality  may 
be  more  frequent  than  previously  recognized  and 
may  justify  a  unique  exploitation  strategy. 

Materials  and  Methods 
This  study  was  conducted  between  6  and  10 

FISHERY  BULLETIN:  VOL.  86,  NO.  3,  1988.  gQl 


October  1986,  at  Bamberton  (lat.  48°35'N,  long. 
123°3rW),  located  half-way  down  Saanich  Inlet,  a 
24  km  long  fjord  on  the  southeast  coast  of  Van- 
couver Island.  Because  of  its  close  proximity  to 
regional  oceanographic  laboratories,  this  inlet  has 
been  well  studied  oceanographically  (Carter  1934; 
Herlinveaux  1962;  Richards  1965;  Anderson  and 
Devol  1973;  Pickard  1975;  Emerson  et  al.  1979; 
Thomson  1981)  and  biologically  (Tunnicliffe  1981; 
Burd  and  Brinkhurst  1984,  1985).  At  its  mouth,  it 
has  a  submerged  (75  m)  sill  behind  which  there  is 
a  deep  (maximum  depth  =  234  m)  basin,  and  water 
below  the  sill  depth  is  typically  isolated,  oxygen- 
deficient,  and  may  contain  hydrogen  sulphide.  The 
basin  is  flushed  only  when  water  above  the  sill  is 
sufficiently  dense  to  cascade  into  it.  Throughout  the 
year,  there  typically  remains  one  or  more  oxyclines 
in  the  water  column  structure.  The  study  area  is 
generally  characterized  by  a  20-30°  slope  to  about 
70  m,  and  a  30-60°  slope  from  this  depth  to  the 
bottom  of  the  inlet  (209  m). 

Observations  were  made  by  two  people  from  the 
submersible  Pisces  IV,  which  has  been  previously 
described  by  Mackie  and  Mills  (1983).  Two  3-h  dives 
were  made  each  day— one  typically  starting  at  1300 
and  the  other  at  1900,  about  one  hour  after  sunset. 
Dives  to  the  bottom  of  the  inlet  were  conducted  at 
random  locations  over  a  3  km  length  of  shoreline 
and  began  with  a  direct  descent  to  the  bottom  of 
the  inlet.  The  submersible  was  then  moved  upwards, 
horizontal  and  about  1  m  from  the  cliff,  from  the 
bottom  of  the  inlet  to  a  depth  of  20  m.  After  sur- 
facing, the  submersible  was  then  towed  to  another 
dive  location,  where  the  process  was  repeated.  A 
total  of  17  ascents  were  completed  during  the 
8  dives. 

Ascent  speed  varied  according  to  habitat  complex- 
ity, slope,  and  crustacean  abundance,  but  was  slow 
enough  to  permit  recording  of  the  species  observed 
except  in  areas  where  extremely  dense  concentra- 
tions of  animals  were  found.  Observers  were  sta- 
tioned on  opposite  sides  of  the  submersible,  with  no 
overlap  in  their  visual  field.  Each  observer  was  able 
to  scan  approximately  90°  on  one  side  of  the  sub- 
mersible's  path. 

As  discussed  by  Richards  and  Schnute  (1986),  a 
general  problem  with  use  of  submersibles  has  been 
the  quantification  of  species  abundance.  Both  the 
presence  of  lights  and  the  submersible  itself  might 
affect  animal  behavior  and  hence  bias  observations. 
Prawns  tend  to  be  cryptic  and  were  frequently  found 
in  association  with  bottom  debris,  and  occasionally 
in  holes.  After  extensive  observations,  including 
moving  at  specific  locales  with  lights  on  or  off  and 


moving  at  variable  speeds,  it  was  concluded  that 
prawns  and  other  demersal  crustaceans  were  not 
apparently  affected  by  Pisces's  presence,  allowing 
them  to  be  effectively  studied.  On  the  approach  of 
Pisces,  demersal  crustaceans  would  occasionally 
swim  a  short  distance  with  rapid  flicks  of  their 
abdomens,  but  in  most  cases,  they  would  simply 
assume  an  aggressive  stance  towards  the  submers- 
ible and  continuously  face  it  as  it  passed  by.  They 
did  not  retreat  under  cover. 

Visibility  of  benthic  animals  varied  somewhat 
because  of  changes  in  bottom  topography  and  its 
effect  on  distance  of  the  submersible  from  the  sub- 
strate. Water  clarity  was  generally  good  (>7  m),  but 
resolution  was  poor  at  the  perimeter  of  the  illum- 
inated area  (about  5  m  maximum). 

Data  were  initially  recorded  into  handheld  tape 
recorders,  and  tapes  were  transcribed  shortly  after 
each  dive.  Prawns  were  individually  counted  and 
their  depths  of  occurrence  noted  over  a  vertical 
transect  of  about  3  m.  However,  this  procedure 
could  not  be  used  when  live  prawn  abundance  ex- 
ceeded approximately  6  m"^,  because  of  their  high 
density  and  because  the  prawns  stirred  up  the  sub- 
strate by  their  movements.  This  situation  only  oc- 
curred over  a  narrow  depth  range  (between  70  and 
85  m  depth,  depending  on  date  of  observation).  Dead 
prawns,  which  often  only  consisted  of  exoskeleton 
fragments,  were  also  difficult  to  count  at  a  density 
greater  than  about  2  m"^.  In  both  situations,  num- 
ber per  meter  of  depth  was  conservatively  estimated 
by  multiplying  the  respective  minimum  average  den- 
sity per  square  meter  by  3  m,  the  transect  width 
over  which  live  and  dead  prawn  abundances  were 
being  assessed. 

Qualitative  notes  on  abundance  of  munids.  Muni- 
da  quadraspina  Benedict,  1902,  the  dominant  ben- 
thic crustacean  present,  were  recorded  by  depth 
interval.  Observers  noted  other  invertebrate  and 
fish  species  present  in  each  transect. 

Movement  of  observed  crustaceans  was  sufficient- 
ly slow,  relative  to  the  submersible' s  movement,  to 
prevent  their  crossing  the  submersible's  path  and 
possible  double  counting  by  the  observers.  Body  size 
of  some  individuals  was  estimated  by  comparing 
them  to  a  30  cm  rod,  marked  in  10  cm  intervals,  that 
hung  in  front  of  the  left  viewport.  Sizes  were  later 
confirmed  by  measurement  of  carapace  lengths  of 
specimens  collected  using  the  extendable  arm  of  the 
submersible. 

Water  samples,  and  on  some  occasions  crusta- 
ceans, were  collected  at  selected  depths  by  pump- 
ing water  through  jars  attached  to  the  exterior  of 
the  submersible  until  they  had  been  thoroughly 


602 


flushed,  and  then  sealing  them.  Samples  were  fixed 
with  manganous  sulphate  reagent  and  alkaline 
iodide  solution  as  soon  as  the  submersible  had  sur- 
faced and  was  recovered  at  the  end  of  each  dive, 
and  dissolved  oxygen  concentrations  were  deter- 
mined later  using  a  modified  Winkler  titration  pro- 
cedure (Strickland  and  Parsons  1972).  Ambient 
water  temperature  was  recorded  continuously 
during  each  dive.  On  14  October  1986,  a  more  com- 
prehensive set  of  oceanographic  measurements 
(temperature,  salinity,  and  dissolved  oxygen  [DO2]) 
was  obtained  by  University  of  British  Columbia 
(UBC)  oceanographers  1  km  from  the  study 
area. 

Results 

Substrate  type  was  a  soft,  light-brown  flocculent 
ooze  at  the  bottom  of  the  inlet  up  to  a  depth  of  about 
60  m,  when  it  became  more  gravelly.  The  floor  of 
the  inlet  was  relatively  flat,  changing  to  a  slope  of 
30-60°  at  the  walls  up  to  a  depth  of  about  100  m, 
at  which  point  5-10  m  vertical  rock  cliffs  often  oc- 
curred. The  slope  then  lessened  at  approximately 
70  m  depth  to  20-30°,  with  frequent  rock  outcrop- 
pings  observed  up  to  the  minimum  depth  (20  m) 
surveyed. 

Salinity  and  temperature  below  20  m  ranged  from 
30.0  to  31.4^00  and  from  8.0°  to  11.2°C,  respec- 
tively, throughout  the  study.  During  the  first  two 
days  of  observations,  measured  DO2  levels  were 
>1  mL  •  L"^  at  depths  above  20  m.  Between  the 
afternoon  and  evening  dives  of  the  third  day  (8  Octo- 
ber), an  abrupt  decrease  in  DO2  concentration  to 
between  0.76  and  0.92  mL  •  L"^  was  detected  at 
depths  of  75-77  m.  However,  at  nearby  depths  of 
71-73  m,  DO2  levels  remained  above  1  mL  •  L~^ 
(1.29-2.00  mL  •  L'^). 

Dissolved  oxygen  (DO2)  measurements  obtained 
during  the  last  two  days  of  our  study  show  a  similar 
profile  to  those  obtained  four  days  later  in  the  center 
of  the  inlet  by  the  UBC  team  (Fig.  1).  In  both  cases, 
a  region  of  low  DO2  (<1  mL  •  L"^)  was  seen  in 
waters  of  intermediate  depth,  although  the  depth 
at  which  this  lens  of  low  DO2  occurred  differed  by 
about  20  m.  Minimum  DO2  level  recorded  during 
our  dives  was  0.76  mL  ■  L"'  at  77  m  on  8  October, 
while  on  14  October  in  the  center  of  the  inlet,  the 
lowest  value  noted  was  0.44  mL  •  L"^  at  110  m. 
Since  low  DO2  levels  normally  occur  in  the  deepest 
waters  of  the  inlet  (Pickard  1975;  Burd  and  Brink- 
hurst  1984),  these  results  indicated  that  there  had 
recently  been  intrusions  of  denser,  more  oxygenated 
water  over  the  sill  into  the  deeper  regions  of  the 


inlet,  displacing  the  low  DO2  layer  upwards  or  ad- 
vecting  low  DO2  water  into  the  study  area. 

There  were  clear  differences  in  depth  ranges  in- 
habited by  species  commonly  observed  in  the  study 
area  (Fig.  1).  The  species  we  observed  were  pri- 
marily benthic  in  habit,  although  some  epibenthic 
species  such  as  spotted  ratfish,  Hydrolagus  colliei 
(Lay  and  Bennet,  1839);  spiny  dogfish,  Squalus 
acanthias  Linnaeus,  1758;  and  Pacific  cod,  Gadus 
macrocephalus  Tilesius,  1810,  were  periodically 
observed,  usually  at  depths  below  80  m.  Various 
rockfish  (Sebastes  sp.)  were  observed  around  rock 
outcroppings. 

The  most  abundant  benthic  invertebrate  species 
observed  below  60  m  were  four  species  of  shrimp 
{Spirontocaris  holmesi  Holthuis,  1947;  S.  sica  Rath- 
bun,  1902;  pink  shrimp,  Pandalus  jordani  Rathbun, 
1902;  and  prawn)  and  munids.  A  few  Dungeness 
crab,  Cancer  magister  (Dana,  1851)  were  observed 
at  40-80  m  depth.  Greatest  densities  of  prawns 
generally  occurred  between  70  and  85  m  depth, 
although  their  observed  range  was  from  20  to  159  m 
(Table  1).  There  was  no  obvious  difference  in  the 
depth  range  of  major  prawn  concentration  (70-85 
m)  between  afternoon  and  night  dives  on  the  same 
day.  However,  more  prawns  were  observed  in  the 
depth  range  of  20-70  m  at  night  than  during  the 
day,  but  these  were  relatively  few  in  comparison  to 
those  at  70-85  m  depth  (Table  1).  During  the  latter 
part  of  the  study,  most  prawns  were  in  a  narrow 
band  between  70  and  79  m  depth.  An  amphipod,  Or- 
choTnene  ohtusa  (Sars,  1890),  was  common  on  the 
substrate  from  80-210  m  water  depth.  Major  con- 
centrations of  pelagic  amphipods  were  observed  at 
depths  of  45-75  m  and  23-90  m  during  the  day  and 
night,  respectively.  Euphausiids  were  most  abun- 
dant at  90-135  m  during  the  day  and  at  50-90  m 
at  night. 

Munids  were  not  observed  above  the  main  prawn 
concentration  at  70-85  m.  A  wide  size  range  of 
munids  was  observed,  ranging  from  recently  settled 
juveniles  to  adults  of  about  3  cm  carapace  length. 
In  general,  large  individuals  were  found  below 
100  m  whereas  small  munids  were  found  from  80 
to  120  m  depth.  Munids  were  observed  down  to  the 
deepest  depth  surveyed  (209  m). 

On  the  evening  dive  of  the  third  day,  8  October, 
dying  and  dead  prawns,  the  latter  covered  with 
swarms  of  amphipods,  were  observed  between  82 
and  90  m  depth,  with  most  between  85  and  90  m 
(Table  1).  Some  live  prawns  showing  disoriented 
behavior  were  also  observed.  Examination  of  col- 
lected live  prawns  observed  to  be  in  poor  condition 
when  sampled  showed  no  evidence  of  disease  or 


603 


200- 


DISSOLVED 


Figure  1.— Dissolved  oxygen  levels  (mL  •  L'')  at  depth  during  each  of  the  4  days  of  diving 
(lines  were  drawn  by  eye)  and  for  the  UBC  sampling,  and  relative  depth  distributions  of  the 
main  abundances  of  the  four  large  crustaceans  observed.  Oblique  bar  =  zone  of  prawn  mortal- 
ity; stipple  =  area  devoid  of  pink  shrimp  after  low  DOg  water  intrusion.  Numbers  =  dates  in 

October  1986.    A  ( )  =  6  October,     B  (•••)  =  7  October,    C  ( — )  =  8  October,    D  (-•-•) 

=  9  October,    £(•—•)=  14  October  (UBC  profUe). 


604 


Table  1  .—Average  prawn  abundance  per  observer  per  5  m  depth  increnrient  observed  in  the  depth  range 
20-124  m  during  the  4  days  of  observations,  6-9  October  1986.  A  =  afternoon  dive,  E  =  evening  dive, 
numbers  in  brackets  =  no.  of  ascents,  no.  of  observers,  <  >  =  dead  or  dying. 


6  October 
A             E 

7  October 
A          E 

8  October 

j 

9  October 

Depth 

A 

E 

A 

E^ 

(m) 

(2.1) 

(2,2) 

(1.1) 

(2.1) 

(1.1) 

(3.2) 

(3.2) 

(3.2) 

20-24 

0 

0 

0 

1.5 

0 

0 

0 

..^ 

25-29 

0 

0 

0 

1.5 

0 

0.5 

0 

— 

30-34 

0 

0 

0 

3.5 

0 

0 

0 

— 

35-39 

0 

0.25 

0 

4.5 

0 

0.5 

0 

— 

40-44 

0 

1.00 

0 

2.5 

0 

2.0 

0 

— 

45-49 

0 

2.0 

0 

2.0 

0 

0 

0 

— 

50-54 

0 

2.5 

0 

0 

0 

0 

0 

— 

55-59 

0 

7.0 

0 

0.5 

0 

0 

0 

— 

60-64 

0 

10.0 

1.0 

1.0 

0 

0.5 

0 

— 

65-69 

0 

14.25 

0 

5.0 

0 

1.0 

0.6 

3.0 

70-74 

1.0 

^54.0 

38.0 

9.0 

^80.0 

2.0 

^36.0 

^80.0 

75-79 

^80.0 

^80.0 

0 

^80.0 

0 

^80.0 

^80.0  < 

8> 

^80.0 

80-84 

^80.0 

^36.0 

0 

0 

0 

^16.0  <^18> 

0     <^12> 

^36.0  <^18> 

85-89 

0.5 

1.0 

0 

0 

0 

0      <^30> 

0     <^30> 

0     <^30> 

90-94 

0.5 

1.5 

0 

0 

0 

0      <  ^6> 

0      <0.3> 

0      <h2> 

95-99 

2.5 

0.75 

0 

0 

0 

0 

0 

0      <    4> 

100-104 

2.0 

0.75 

0 

0 

0 

0.3 

0 

0 

105-109 

2.5 

2.75 

0 

0 

0 

0 

0.25 

0 

110-114 

3.0 

4.25 

0 

0 

0 

0 

0 

0 

115-119 

2.0 

0.25 

1.0 

0 

0 

1.0 

0.25 

0 

120-124 

0.3 

1.5 

0 

0 

0 

0 

0.25 

0 

Total  alive 

174.3 

219.0 

40.0 

111.0 

80.0 

103.8 

117.4 

199.0 

Total  dead 

0 

0 

0 

0 

0 

54.0 

50.3 

64.0 

Estimated 

mortality  (%) 

0 

0 

0 

0 

0 

34 

30 

24 

'No  observations  were  made  above  65  m  on  the  evening  of  9  October  because  of  the  entanglement  of  Pisces  in  submerged 

rope.  Recorder  equipment  failure  prevented  inclusion  of  one  of  the  observer's  counts  of  prawn  on  some  of  the  dives. 

^Live  prawn  abundance  was  estimated  >€  m'^,  but  for  purposes  of  analyses,  6  m'^  x  3  m'  visibility  was  assumed, 


giving  18  prawn  per  meter  of  water  depth 
3Dead  prawn  abundance  was  estimated 
giving  6  dead  prawn  per  meter  of  water  depth 


'Dead  prawn  abundance  was  estimated  >2  m"',  but  for  purposes  of  analyses,  2  m   ^  x  3  m'  visibility  was  assumed. 


parasitism  (S.  Bower^).  Dead  prawns,  sometimes 
consisting  only  of  exoskeleton  remains,  were  ob- 
served at  a  density  >2  m"^  in  some  areas.  Ap- 
parently healthy  prawns  were  concentrated  in  the 
depth  range  of  75-80  m  at  densities  >6  m"^.  Dead 
and  dying  prawns  were  also  observed  during  both 
dives  on  9  October.  By  comparing  the  estimated 
numbers  of  dead  and  living  prawns  observed  in  a 
vertical  transect,  it  was  conservatively  estimated 
that  approximately  25%  of  the  prawn  population 
observed  may  have  died  during  this  24-h  period,  with 
observations  taken  over  9  ascents  along  about  1.5 
km  of  shoreline  (Table  1). 

Prawn  was  the  only  species  observed  to  be  dying. 
Apparently  healthy  amphipods,  munids,  and  flatfish 
were  observed  around  the  dying  prawns.  However, 
coincident  with  the  onset  of  prawn  mortality,  the 
vertical  distribution  of  pink  shrimp  separated  into 
two  groups,  one  above  and  one  below  the  depth 
range  of  prawn  mortality  (Fig.  1).  No  dead  pink 


IS.  Bower,  Pacific  Biological  Station,  Nanaimo,  B.C.,  V9R  5K6, 
pers.  commun.  October  1986. 


shrimp  were  observed.  Only  amphipods  were  ob- 
served eating  the  dying  or  dead  prawns. 

Discussion 

Our  observations  indicate  that  the  tolerance  of 
prawn  to  low  DO2  levels  may  be  less  than  that  re- 
ported from  laboratory  experiments.  The  tolerance 
of  prawn  in  a  sealed  chamber  (10°C,  SO^/oo  salinity) 
to  low  DO2  levels  has  been  experimentally  ex- 
amined by  Whyte  and  Carswell  (1982).  Under  their 
experimental  conditions,  prawns  exhibited  a  reduced 
metabolic  rate  at  DO2  levels  below  approximately 
2.5  mL  •  L"^  and  died  at  approximately  0.35  mL 

•  L"^  They  did  not  determine  how  long  prawns 
would  survive  at  dissolved  oxygen  levels  below  1  mL 

•  L"^  since  their  experimental  design  included  only 
a  fixed  amount  of  oxygen.  Our  study  suggests  that 
minimum  tolerance  occurs  at  around  1  mL  ■  L~^ 
since  at  levels  below  this,  death  occurred.  Oxygen 
stress  in  munids  has  been  reported  (Burd  1983)  to 
coincide  with  a  loss  of  equilibrium  similar  to  the 
disoriented  locomotor  behavior  we  observed  for 


605 


prawns.  Based  on  our  observations,  we  further  note 
that  prawns  appear  to  be  less  tolerant  to  low  DO2 
levels  than  many  of  the  other  species  found  in  the 
same  depth  range.  However,  published  data  on 
tolerance  to  hypoxic  conditions  for  the  species  pres- 
ent exists  only  for  munids,  which  have  been  shown 
to  tolerate  hypoxic  conditions  as  low  as  0.1-0.15  mL 
•  L-i  (Burd  1983;  Burd  and  Brinkhurst  1984, 
1985). 

All  benthic  species  observed,  except  prawn,  had 
a  relatively  large  depth  range  over  which  individuals 
were  found  in  abundance.  Those  species  apparent- 
ly more  tolerant  to  low  DO2  levels  were  found  from 
about  85-210  m.  It  is  unknown  why  in  contrast  to 
other  species  observed,  prawns  were  concentrated 
in  a  narrow  depth  range  at  70-85  m  water  depth, 
so  close  to  lethal  water  conditions.  Most  prawns 
were  apparently  prevented  from  going  deeper  by 
intolerance  to  low  DO2  concentrations,  although  a 
few  individuals  were  below  this  low  DO2  layer  and, 
for  the  short  term  at  least,  were  apparently  sur- 
viving. At  night,  there  was  little  change  in  the  ob- 
served general  depth  preference  of  the  main  prawn 
concentration,  although  more  prawns  were  observed 
at  shallower  depths.  Prawns  were  not  observed 
moving  vertically  on  the  cliffs  in  a  directed  manner, 
and  so  prawns  observed  at  shallower  depths  at  night 
may  have  been  hidden  there  during  the  day. 

With  the  sudden  movement  of  low  DO2  water 
into  the  depth  range  occupied  by  prawns,  it  is 
unknown  why  prawns  did  not  simply  walk  upwards 
on  the  cliff,  away  from  the  low  DO2  area,  and  stay 
in  a  tolerable  environment,  as  did  the  pink  shrimp. 
The  distance  prawns  would  have  had  to  travel  was 
<10  m  in  the  70-75  m  depth  range.  Some  vertical 
movement  of  prawns  may  have  occurred,  since  in 
the  afternoon  dive  prior  to  the  evening  dive  in  which 
dead  prawns  were  first  observed,  the  depth  range 
in  which  prawns  were  abundant  was  narrow  (5  m) 
and  at  its  shallowest  depth  (70-75  m). 

Two  oceanographic  factors  apparently  caused  the 
observed  prawn  mortality:  the  existence  of  a  low 
DO2  water  mass  in  close  proximity  to  the  prawns 
and  some  event  which  caused  this  water  mass  to  in- 
trude suddenly  into  the  prawn  habitat.  As  indicated 
earlier,  the  presence  of  oxyclines  in  Saanich  Inlet 
is  well  documented,  although  the  close  proximity  of 
prawns  to  this  lethal  environment  had  not  previously 
been  described. 

We  offer  two  possible  explanations  that  could 
account  for  sudden  intrusion  of  the  anoxic  layer: 
1)  change  in  the  amplitude  of  oscillations  of  the 
oxycline,  or  2)  an  overall  change  in  level  of  the  mean 
oxygen  surfaces,  perhaps  related  to  a  change  in 


subsurface  properties.  With  respect  to  the  first, 
Thomson  et  al.  (in  press)  showed  that  in  Saanich 
Inlet,  there  are  regular,  peak-to-peak  oscillations  in 
DO2  level  of  the  order  of  2.5  mL  •  L'  at  100  m 
depth.  These  oscillations  were  found  to  occur  over 
a  period  of  hours,  with  a  standard  deviation  and 
range  of  effective  vertical  isopycnal  displacement 
estimated  to  be  2.0  and  9.6  m,  respectively.  Thom- 
son et  al.  (in  press)  collected  their  data  in  April  1987, 
when  the  mean  DO2  level  at  100  m  was  4.8  mL  ■ 
L"^  If  similar  oscillations  of  the  oxycline  occurred 
during  our  observations,  when  DO2  levels  were 
much  lower,  then  with  a  moderate  change  in  oscilla- 
tion amplitude,  prawn  could  suddenly  experience 
lethal  DO2  levels  for  time  periods  up  to  approx- 
imately 6  hours.  The  causal  mechanism  generating 
the  oscillations  and  changes  in  amplitude  of  oscil- 
lation of  the  pycnocline,  and  hence  oxycline,  is 
currently  unknown,  but  is  probably  due  to  internal 
gravity  waves  propagating  within  the  inlet  (R. 
Thomson^). 

The  second  explanation  involves  a  rapid  change 
in  average  depth  of  the  oxycline  caused  by  changes 
in  vertical  density  profile  of  the  water  column.  Inter- 
mediate depth  waters  outside  Saanich  Inlet  are  most 
dense  in  the  fall,  and  intrusion  of  this  denser  water 
over  the  sill  into  the  inlet  typically  occurs  at  this  time 
(Pickard  1975).  Such  intrusions  are  often  caused  by 
strong  tidal  influxes,  and  fluctuations  in  depth  of 
the  pycnocline  and  oxycline  subsequently  propagate 
down  the  inlet  as  a  density  intrusion  (Holbrook  and 
Halpern  1982).  Any  intrusion  has  the  potential  of 
suddenly  altering  oxygen  concentrations  at  various 
depths.  The  observation  of  mortality  beginning  in 
late  afternoon  on  8  October  is  in  agreement  with 
that  expected  based  on  the  daily  and  hourly  timing 
of  tidal  action  seen  during  the  study  period. 

Prawn  mortality  as  described  would  thus  appear 
to  be  an  episodic,  but  perhaps  not  an  uncommon, 
event  in  Saanich  Inlet.  It  is  probably  a  fall  phenom- 
enon, for  the  oceanographic  reasons  described  above 
and  since  in  other  years,  this  was  when  the  hypoxic 
layer  was  shallowest  (Richards  1965;  Tunnicliffe 
1981;  Burd  and  Brinkhurst  1984).  Our  observations 
clearly  demonstrate  that  sudden  catastrophic  mor- 
tality can  occur  on  a  scale  which  may  noticeably 
affect  species  abundance  in  an  area.  If  undocu- 
mented, such  episodic  mass  mortality  may  confound 
an  understanding  of  species  population  dynamics. 
For  fishermen  in  the  area,  mortality  of  prawn  is  a 
concern  and  may  explain  why  seasonal  landings  may 


2R.  Thomson,  Institute  of  Ocean  Sciences,  Sidney,  B.C.  V8L  4B2, 
pers.  commun.  May  1987. 


606 


not  meet  expectations.  Understanding  the  timing 
and  likelihood  of  such  events  can  improve  manage- 
ment, and  since  the  geographical  occurrence  of  such 
mortality  may  often  be  quite  localized,  increased 
harvest  in  specific  locations  prior  to  high  natural 
mortality  events  might  be  justified. 


Acknowledgments 

The  assistance  of  F.  Chambers  and  the  pilots  and 
support  staff  of  Pisces  IV  is  gratefully  acknowl- 
edged, since  without  their  professional,  enthusiastic 
assistance,  the  study  could  not  have  been  conducted. 
D.  Mackas  and  D.  Latrouite,  staff  of  the  Department 
of  Oceanography  at  UBC,  T.  Butler,  and  J.  Fulton 
assisted  in  data  collection,  analysis  and/or  species 
identification,  and  R.  Thomson  assisted  in  interpre- 
tation of  oceanographic  events.  C.  Levings,  F.  Ber- 
nard, S.  Bowers,  J.  Boutillier,  and  two  anonymous 
reviewers  provided  constructive  reviews.  The  par- 
ticipation of  E.  Pikitch  was  sponsored  by  NOAA  Of- 
fice of  Sea  Grant,  Department  of  Commerce,  under 
grant  No.  NA85AA-D-SG095,  project  #R/E5-7. 


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29  p. 


Glen  S.  Jamieson 


Department  of  Fisheries  and  Oceans 

Fisheries  Research  Branch 

Pacific  Biological  Station 

Nanaimo,  British  Columbia  V9R  5K6,  Canada 


Ellen  K.  Pikitch 


Department  of  Fisheries  and  Wildlife 

Oregon  State  University 

M.  0.  Hatfield  Marine  Science  Center 

Newport,  OR  97365 

Present  address: 

School  of  Fisheries  WH-10 

University  of  Washington 

Seattle,  WA  98195,  USA 


MORPHOLOGICAL  DIFFERENCES  BETWEEN 

TWO  CONGENERIC  SPECIES  OF 

PLEURONECTID  FLATFISHES:  ARROWTOOTH 

FLOUNDER,  ATHERESTHES  STOMIAS,  AND 

KAMCHATKA  FLOUNDER,  A.  EVERMANNI 

The  two  flatfishes  of  the  genus  Atheresthes  (family 
Pleuronectidae)  are  commonly  caught  in  the  eastern 
Bering  Sea  commercial  trawl  fishery.  From  1977  to 
1983,  they  comprised  an  estimated  10.03%  of  the 
total  flatfish  catch  by  the  foreign  trawl  vessels  in 
the  Bering  Sea/ Aleutian  Islands  region  (data  com- 
piled from  U.S.  Foreign  Fisheries  Observer  Pro- 
gram, Northwest  and  Alaska  Fisheries  Center). 
However,  these  two  species,  the  arrowtooth 
flounder,  A.  stomias,  and  Kamchatka  flounder, 
A.  evermanni,  are  morphologically  similar  and 
hence  difficult  to  distinguish.  As  a  result,  fisheries 
workers  in  the  field  often  lump  the  two  species  or 
misidentify  them.  Because  the  two  species  may  have 
biological  differences  not  presently  known,  it  is  im- 
portant for  management  considerations  and  stock 
assessments  to  distinguish  the  species  in  fisheries 
surveys.  The  objective  of  this  paper  is  to  describe 
gross  morphological  differences  between  the  two 
species  more  explicitly,  so  that  the  two  can  be  ac- 
curately identified  in  the  field. 

Norman  (1934)  thought  that  these  two  species  of 
Atheresthes  were  so  similar  that  eventually  they 
were  shown  to  be  identical.  However,  based  on  elec- 
trophoretic  evidence,  Ranck  et  al.  (1986)  concluded 
that  A.  stomias  and  A.  evermanni  are  valid  species. 
Wilimovsky  et  al.  (1967)  previously  had  reached  this 
same  conclusion  by  using  a  special  morphological 


character  index  to  separate  the  two  species.  This 
index  is  a  function  of  caudal  vertebrae  number,  gill 
raker  number,  distance  from  anterior  eye  margin 
to  dorsal  origin,  and  eye  diameter.  Unfortunately, 
the  index  is  too  complex  to  use  in  the  field  because 
it  is  based  partly  on  characters  that  cannot  easily 
be  evaluated  by  gross  external  examination.  This 
study  describes  a  simpler  method  for  differentiating 
the  two  species  based  on  previously  described  ex- 
ternal morphological  characteristics  and  two  new 
morphological  characters. 

Methods 

Collections  were  made  in  the  eastern  Bering  Sea 
in  an  area  between  lat.  54°  and  59°N,  long.  163° 
and  174°W  (Fig.  1)  aboard  the  National  Marine 
Fisheries  Service  RV  Chapman  in  summer  1984. 

Specimens  were  unselectively  sampled  in  the  field 
from  trawl  catches  containing  A.  stomias  and  A. 
evermanni.  The  fork  length  and  sex  of  the  fish  along 
with  location  of  sample  were  recorded,  and  each 
specimen  was  preserved  in  3.7%  seawater/formal- 
dehyde  solution. 

In  the  laboratory,  the  following  characteristics 
were  examined: 

1)  Upper  eye  position:  Specimens  were  first 
classified  according  to  the  position  of  the  upper  eye, 
following  Norman  (1934).  If  the  orbit  of  the  upper 
eye  interrupted  the  profile  of  the  head  (Fig.  2A),  the 
specimen  was  classified  as  A.  stomias.  If  the  upper 
eye  did  not  interrupt  the  profile  of  the  head  (Fig. 
2B)  and  was  completely  on  the  right  side  of  the 
head,  the  specimen  was  classified  as  A.  evermanni 
(Norman  1934;  Wilimovsky  1967). 

2)  Gill  raker  counts:  After  initial  separation  of 
the  specimens  on  the  basis  of  the  upper  eye  posi- 
tion, the  four  gill  arches  of  the  eyed  side  were 
removed  and  the  gill  raker  count  of  each  of  the  four 
arches  recorded.  Counts  of  the  upper  and  lower 
limbs  were  recorded  separately  and  the  two  counts 
were  separated  by  a  plus  sign  (for  example,  4  +  12 
means  4  rakers  on  the  upper  limb  and  12  on  the 
lower  limb).  If  a  gill  raker  straddled  the  angle  of  the 
arch,  it  was  included  in  the  count  of  the  lower  limb. 
In  this  study,  only  the  lath-shaped  structures  were 
counted  as  gill  rakers;  the  rudiments  were  not 
counted. 

Results 

A  total  of  251  fish  was  examined.  Based  on  the 
upper  eye  position,   170  specimens  were  classi- 


608 


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63  OON 


61  00 


59  00 


57  00 


-  55  00 


-  53  00 


51  00 


179  OOE 


1  76  OOW        171  00         166  00         161  00 

Figure  1.— Bering  Sea  collecting  localities. 


156    00 


Arrowtooth  flounder 
(Atheresthes  stomias) 


Kamchatka  flounder 
(Atheresthes  evermanni) 


Figure  2.— Blind  side  view  of  head  profiles  oi  Atheresthes  stomias  (A)  and  A.  evermanni  (B). 


609 


fied  as  A.  stomias,  and  81  as  A.  evermanni.  Gill 
rakers  decreased  in  number  from  the  first  to  the 
third  gill  arches  in  both  species.  Neither  species  had 
gill  rakers  on  the  fourth  gill  arch  (though  they  did 
have  rudiments). 

First  Gill  Arch 

In  general,  A.  stomias  had  more  gill  rakers  (on 
both  the  upper  and  lower  limbs)  on  the  first  gill  arch 
than  did  A.  evermanni;  however,  the  counts  did 
overlap  both  in  arrangement  of  gill  rakers  and  total 
numbers  (Table  1).  Of  the  A.  stomias  examined, 
75.2%  had  4  or  more  rakers  on  the  upper  limb  and 
none  had  fewer  than  3.  On  the  other  hand,  no  A. 
evermanni  had  4  or  more  gill  rakers,  and  49.4%  had 
2  rakers  on  the  upper  limb  on  the  first  gill  arch. 

Second  Gill  Arch 

As  was  the  case  of  the  first  gill  arch,  A.  stomias, 
in  general,  had  more  gill  rakers  on  the  second  gill 
arch  than  did  A.  evermanni.  There  were  minor  over- 
laps (1.8%)  between  these  two  species  in  the  total 
gill  raker  counts  and  in  the  distribution  of  the  gill 
rakers  (Table  2).  In  addition  to  having  different  gill 
raker  counts  and  patterns,  all  of  the  A.  everTnanni 
examined  had  1  gill  raker  on  the  upper  limb  of  the 
second  gill  arch,  whereas  98.2%  of  the  A.  stomias 
had  2  gill  rakers  on  the  upper  limb  of  the  second 
gill  arch  (Table  2). 

Third  Gill  Arch 

In  general,  A.  stomias  had  more  gill  rakers  on  the 
third  gill  arch  than  did  A.  evermanni.  The  range  of 
total  raker  counts  for  A.  stomias  was  3  to  7,  with 
most  (85.3%)  having  4  or  5.  Total  raker  counts  for 
A.  evermanni  ranged  from  2  to  5,  with  64.2%  hav- 
ing 3.  The  most  frequent  arrangements  of  gill  rakers 
on  the  third  gill  arch  oiA.  stomias  were  0  -t-  4  (43.5%) 
and  0-1-5  (41.2%),  and  the  most  frequent  arrange- 
ment for  A.  evermanni  was  0  -t-  3  (64.2%).  Only  three 
(1.8%)  A.  stomias  had  one  gill  raker  on  the  upper 
limb  of  the  third  gill  arch.  The  rest  (98.2%  A. 
stomias  and  all  A.  evermanni)  had  no  gill  rakers  on 
the  upper  limb  of  the  third  gill  arch. 

Anomalous  Specimens 

Three  specimens  had  the  upper  eye  interrupting 
the  profile  of  the  head  but  had  only  1  gill  raker  on 
the  upper  limb  of  the  second  gill  arch.  These  fish 
were  probably  A.  stomias  with  anomalous  gill  raker 


Table  1  .—Gill-raker  arrangements  and  their  per- 
centages (%)  of  frequency  of  occurrence  (FO)  on 
the  first  gill  arches  (eyed  side)  of  Atheresthes 
stomias  and  Atheresthes  evermanni  collected  from 
eastern  Bering  Sea. 


stomias 

evermanni 

Pattern 

FO 

% 

FO 

% 

5+11 

2 

1.2 

0 

0 

4+13 

1 

0.6 

0 

0 

4+12 

59 

34.7 

0 

0 

4+11 

65 

38.1 

0 

0 

4+10 

1 

0.6 

0 

0 

3+13 

1 

0.6 

0 

0 

3+12 

11 

6.5 

0 

0 

3+11 

29 

17.1 

4 

4.9 

3+10 

1 

0.6 

32 

39.5 

3  +  9 

0 

0 

5 

6.2 

2+11 

0 

0 

3 

3.7 

2+10 

0 

0 

29 

35.8 

2  +  9 

0 

0 

8 

9.9 

Total 

170 

100 

81 

100 

Mean 

15.1 

12.4 

Table  2.— Gill-raker  arrangements  and  their  per- 
centages (%)  of  frequency  of  occurrence  (FO)  on 
the  second  gill  arches  (eyed  side)  of  Atheresthes 
stomias  and  Atheresthes  evermanni  collected  from 
the  eastern  Bering  Sea. 


stomias 

even 
FO 

manni 

Pattern 

FO 

% 

% 

3  +  10 

1 

0.6 

0 

0 

2+11 

3 

1.8 

0 

0 

2+10 

54 

31.8 

0 

0 

2  +  9 

108 

63.4 

0 

0 

2  +  8 

1 

0.6 

0 

0 

1+9 

3 

1.8 

8 

9.9 

1+8 

0 

0 

61 

75.3 

1+7 

0 

0 

11 

13.6 

1+6 

0 

0 

1 

1.2 

Total 

170 

100 

81 

100 

Mean 

11.3 

8.9 

2  or  more 

rakers  on 

upper  limb 

167 

98.2 

0 

0 

1  raker  on 

upper  limb 

'3 

1.8 

81 

100 

'All  of  these  A.  stomias  have  two  gill  rakers  on  the  upper 
limbs  of  the  second  gill  arches  of  the  blind  side.  Their  pat- 
terns are  either  2+10  or  2  +  9. 


counts.  One  of  the  three  had  gill  raker  patterns  of 
4  +  11, 1  +  9,  and  0  +  4  on  the  first,  second,  and  third 
gill  arches,  respectively.  The  gill  raker  patterns  on 
the  blind  side  of  this  specimen  were  3-1-11  on  the 
first  gill  arch,  2  +  9  on  the  second,  and  0  +  4  on  the 
third.  Thus,  because  this  specimen  had  4  gill  rakers 
on  the  upper  limb  of  the  first  gill  arch  on  the  eye 


610 


side  and  2  gill  rakers  on  the  upper  limb  of  the  sec- 
ond gill  arch  on  the  blind  side,  it  is  referred  to  A. 
stomias.  The  other  two  anomalous  specimens  also 
had  2  gill  rakers  on  the  upper  limbs  of  the  second 
gill  arch  of  the  blind  side  and  were  also  recorded 
as  A.  stomias. 

Discussion 

From  this  study,  it  is  evident  that  the  two  species 
of  Atheresthes  can  most  easily  be  distinguished  by 
eye  position.  The  number  of  gill  rakers  on  first  and 
second  gill  arches  can  be  used  to  assist  and  verify 
identification. 

When  identifying  specimens,  eye  position  should 
be  examined  first.  If  the  upper  eye  interrupts  the 
profile  of  the  head,  this  specimen  is  A.  stomias;  if 
the  upper  eye  does  not  interrupt  the  profile  of  the 
head,  the  specimen  is  A.  evermanni.  If  the  head  is 
in  bad  shape  (e.g.,  damaged  during  the  trawl  opera- 
tion) or  if  the  examiner  has  difficulty  using  eye  posi- 
tion and  head  profile  to  identify  a  specimen,  the  gill 
arches  must  be  examined.  Two  or  more  gill  rakers 
on  the  upper  limb  of  the  second  gill  arch  indicates 
that  the  specimen  is  A.  stomias;  if  there  is  only  1 
gill  raker,  the  specimen  is  A.  everm,anni. 

The  number  of  gill  rakers  on  the  first  gill  arch  has 
generally  been  used  to  distinguish  the  two  species 
of  Atheresthes.  However,  this  study  demonstrated 
a  greater  overlap  between  the  two  species  in  number 
of  rakers  on  the  first  gill  arch  than  the  second  gill 
arch  (Tables  1,  2),  indicating  that  the  second  gill  arch 
is  a  better  character  for  assigning  individuals  to  the 
species. 

The  study  also  suggests  that  the  number  of  gill 
rakers  on  the  upper  limb  of  the  first  gill  arch  is 
species  specific.  If  there  are  4  or  more  gill  rakers, 
the  specimen  is  A.  stomias;  2  or  fewer  gill  rakers 
indicate  the  specimen  is  A.  evermanni. 

The  uncertainty  in  examining  the  first  gill  arch 
is  when  there  are  3  gill  rakers  on  the  upper  limb. 
Approximately  25%  of  A.  stomias  and  50%  of  A. 
evermanni  samples  had  3  gill  rakers  on  the  upper 
limb  of  the  first  gill  arch.  Thus,  when  3  gill  rakers 
are  present  on  the  upper  limb  of  the  first  gill,  the 
second  gill  arch  must  also  be  examined  to  distinguish 
the  two  species. 

Acknowledgments 

I  want  to  thank  Jean  Dunn  and  James  Allen  for 
their  comments  and  suggestions.  Richard  Bakkala 
and  Patricia  Livingston  reviewed  my  earlier  manu- 
script; their  help  is  also  appreciated.  I  also  want 


to  thank  the  anonymous  reviewers  for  their  com- 
ments. 

Literature  Cited 

Norman,  J.  R. 

1934.    A  systematic  monograph  of  the  flatfishes  (Hetero- 
somata).  Vol.  I.  Psettodidae,  Bothidae,   Pleuronectidae. 
Br.  Mus.  (Nat.  Hist.),  Lond.,  459  p.  [Reprinted,  1966,  by 
Johnson  Reprint,  N.Y.] 
Ranck,  C,  F.  Utter,  G.  Milner,  and  G.  B.  Smith. 

1986.    Genetic  confirmation  of  specific  distinction  of  arrow- 
tooth    flounder,   Atheresthes   stomias,    and    Kamchatka 
flounder,  A.  evermanni.    Fish.  Bull.,  U.S.  84:222-226. 
WiLiMOVSKY,  N.  J.,  A.  Peden,  and  J.  Peppar. 

1967.    Systematics  of  six  demersal  fishes  of  the  North  Pacific 
Ocean.    Fish.  Res.  Board  Can.,  Tech.  Rep.  34,  95  p. 


Mei-Sun  Yang 


Northwest  and  Alaska  Fisheries  Center 
National  Marine  Fisheries  Service,  NOAA 
7600  Sand  Point  Way  NE 
Seattle,  WA  98115-0070 


PREDATION  OF  KARLUK  RIVER 

SOCKEYE  SALMON  BY  COHO  SALMON 

AND  CHAR 

The  number  of  sockeye  salmon,  OncorhynchiLS 
nerka,  in  Alaska's  Karluk  River  (Fig.  1)  declined 
from  millions  to  thousands  during  the  early  part  of 
the  present  century.  Rounsefell  (1958)  discussed 
alternative  explanations  for  the  decline  including  a 
general  loss  of  fertility  of  the  system  as  the  number 
of  salmon  carcasses  declined,  competition,  over- 
fishing, subtle  changes  in  climate,  and  predation;  he 
concluded  that  the  combined  effect  of  predation  and 
fishing  was  the  most  probable  explanation.  Later, 
Van  Cleave  and  Bevan  (1973)  suggested  that  the 
weir  constructed  in  the  river  each  year  to  facilitate 
counting  the  fish  as  they  entered  the  system  was 
the  most  probable  cause  of  the  decline.  It  prevented 
free  movement  of  both  adults  and  juveniles  in  the 
river.  All  of  these  hypotheses  remain  as  potential 
explanations  for  the  decline. 

Fredin  et  al.  (1974)  described  a  relation  that 
showed  two  equilibrium  regions  between  the  spawn- 
ing stock  and  the  resultant  run  for  sockeye  salmon 
in  the  Kodiak  area.  We  developed  a  stock-recruit- 
ment curve  (Fig.  2)  for  sockeye  salmon  in  the  Karluk 
River  basin  that  also  showed  two  equilibrium 
regions,  and  suggested  that  the  population  had  "col- 


FISHERY  BULLETIN  VOL.  86,  NO.  3,  1988 


611 


i 

1^ 

> 

xk  ^ 

^         ^ 

8 

i 

i*:   Ci 

O 

\ 

n^S^ 

N 

^     CO 

b 

b«:   — 

"\V%: 

CS 

^\  ( 

^^ 

^ 

\    \ 

"V^ 

^ 

+  < 


612 


Spawning  Stock  (millions) 


Figure  2.— Stock-recuit  relation  for  sockeye  salmon  in  the  Karluk  River  basin. 
Squares  are  the  running  geometric  mean  (by  9)  of  stock  and  recruit  estimates 
for  the  1922-77  broods.  The  curved,  solid  line  was  described  by  R  =  1.83 
(lO*^)  +  7.73  P  +  1.29(10"^)  p2  -  5.58(10-^2)P^  where,  i?  =  recruits  and 
P  =  stock.  Ages  of  fish  in  the  escapement  (1922-36  from  Barnaby  1944; 
1937-69  from  the  Northwest  and  Alaska  Fisheries  Center,  National  Marine 
Fisheries  Service,  Auke  Bay,  AK;  1980-85  from  Alaska  Department  of  Fish 
and  Game,  Kodiak,  AK)  were  used  to  estimate  the  recruits  produced  by  each 
brood.  The  diagonal  lines  show  how  the  replacement  line  changes  as  the  ex- 
ploitation rate  increases  from  0  to  0.3. 


lapsed"  into  the  lower  of  the  two.  Fishing  can  cause 
such  a  collapse  (Peterman  1977)  and  recovery 
becomes  impossible  unless  exploitation  rates  are 
reduced  to  levels  substantially  lower  than  the  rate 
that  caused  the  collapse. 

Multiple  equilibria  in  an  exploited  population  can 
be  caused  by  depensatory  mortality— the  loss  of  a 
relatively  greater  fraction  of  the  population  when 
it  is  small  than  when  it  is  large  (Neave  1953).  Several 
functional  responses  (Ricker  1954;  Rolling  1973) 
have  been  used  to  describe  relations  between  prey 
density  and  predation  rate— one  of  which  (Type  III 
relation)  can  produce  multiple  equilibria  in  the  stock- 
recruitment  curve  of  a  prey  population  (Peterman 
1977).  The  Type  III  or  S-shaped  functional  response 
is  characteristic  of  predators  that  consume  a  small 
fraction  of  the  prey  at  low  prey  population  density; 
as  prey  population  density  increases,  however,  the 
predators  rapidly  increase  the  fraction  consumed 
through  learning  or  aggregation.  The  concave.  Type 
II  functional  response  holds  when  the  fraction  con- 
sumed is  high  at  low  prey  density. 

The  apparent  potential  for  stock  collapse,  as 
depicted  in  the  Karluk  sockeye  stock-recruitment 
curve,  could  be  the  consequence  of  Type  III  preda- 
tion mortality.  A  preliminary  survey  of  the  food 
habits  of  fish  in  the  system  showed  that  coho  salmon. 


0.  kisutch,  and  two  chars— the  Dolly  Varden, 
Salvelinics  malma,  and  Arctic  char,  S.  alpinus— 
were  predators  of  juvenile  sockeye  salmon.  We  set 
out  to  determine  whether  the  functional  responses 
for  coho  salmon  and  for  char  were  of  Type  II  or  Type 
III.  Our  approach  was  to  describe  the  relation  be- 
tween the  number  of  prey  eaten  per  predator  and 
the  index  of  prey  abundance  provided  by  the  annual 
counts  of  adult  sockeye  salmon  that  entered  the 
system  for  spawning.  Unfortunately,  the  study  had 
to  be  terminated  after  five  years  because  of  a  man- 
agement decision  to  enhance  the  productivity  of 
Karluk  Lake  with  commercial  fertilizer;  we  could 
not  eliminate  the  possibility  that  the  effects  of  fer- 
tilization would  confound  predation  responses.  We 
describe  the  data  that  were  accumulated  during  five 
field  seasons  and  our  tentative  conclusions  concern- 
ing the  role  of  predation  mortality  in  the  dynamics 
of  these  sockeye  salmon. 

Methods 

Sampling  sites  were  established  at  locations 
around  the  littoral  zone  of  Karluk  Lake  at  the  outlets 
of  spawning  streams  and  at  beach  spawning  areas 
(Fig.  1)  in  1982.  The  Karluk  River  was  sampled  from 
the  outlet  at  the  lake  to  about  100  m  downstream. 


613 


In  each  of  the  five  subsequent  years,  a  field  crew 
sampled  each  location  at  weekly  intervals,  from  late 
April  to  October. 

Juvenile  coho  salmon  were  collected  with  beach 
seines  and  minnow  traps,  and  chars  with  beach 
seines,  floating  gill  nets,  and  hook  and  line.  Only 
coho  salmon  larger  than  80  mm  were  found  to  be 
predators  of  sockeye  salmon  during  the  April- 
October  sampling  period.  Since  char  were  captured 
with  hook  and  line  or  in  gill  nets,  our  samples  con- 
tained only  fish  that  were  large  enough  to  consume 
sockeye  salmon  fry.  Coho  salmon  were  preserved 
in  formalin  for  examination  later,  when  the  contents 
of  the  stomachs  were  removed  and  the  sockeye 
salmon  fry  and  fingerlings  were  counted.  The  chars 
were  tagged  and  released  after  the  contents  were 
flushed  from  their  stomachs  and  preserved  in 
formalin. 

Results 

Juvenile  coho  salmon  were  aggregated  around 
tributary  outlets  and  in  the  littoral  areas  of  Karluk 
Lake.  The  chars  were  found  almost  exclusively 
around  the  tributary  outlets  and  in  the  Karluk  River. 
Few  coho  salmon  or  chars  were  captured  by  sein- 
ing in  the  pelagic  areas  of  the  lake.  We  did  not 
distinguish  between  the  two  chars. 

Predation  rates  for  the  chars  did  not  increase  as 
the  abundance  of  sockeye  salmon  increased  (Table 
1),  but  the  average  number  of  sockeye  salmon  fry 
consumed  by  each  coho  salmon  did  increase  and  ap- 


peared to  be  depensatory  (Fig.  3).  A  general  equa- 
tion (Real  1979)  was  used  to  describe  the  relation 
between  the  predation  rate  (Y)  by  coho  salmon  and 
the  index  of  prey  abundance  (X), 


Y  =  bX'-lil  +  aJC-). 


(1) 


A  value  of  c  =  1  provides  a  classic.  Type  II  func- 
tional response  curve,  while  values  of  c  exceeding 
1.0  provide  a  sigmoid,  depensatory  shape.  A  value 
of  c  =  2  gives  the  classic  Type  III  curve. 

Best  (least  squares)  fit  values  for  a,  b,  and  c  were 
obtained  by  transforming  Equation  (1)  into  the  form 


ln(l/y  -  a/b)  =  In(i-i)  -  c\n(X). 


(2) 


Using  trial  values  of  a/b,  we  regressed  the  left  side 
of  Equation  (2)  on  \nX  until  we  identified  the  value 
of  a/b  giving  the  lowest  residual  variance.  The 


Table  1 . — Predation  on  juvenile  sockeye  salmon  by  predatory  coho 
salmon  (i.e.,  juvenile  coho  salmon  longer  than  80  mm)  and  chars 
in  Karluk  Lake,  AK  during  June  and  July  from  1982  to  1986. 


Coho  salmon 

Chars 

Sockeye 
salmon 

Number 

Predation 

Number 

Predation 

Year 

examined 

rate 

examined 

rate 

escapement 

1982 

252 

0.475 





220,000 

1983 

3.132 

0.076 

95 

0.98 

164,000 

1984 

250 

0.661 

128 

19.45 

436,000 

1985 

956 

0.452 

485 

10.06 

420,000 

1986 

423 

0.740 

571 

4.50 

996,000 

o 
■a 


5n 


0  0.2  0.4  0.6  0.8 

Index  of  Prey  Density  (Millions  of  Spowners) 


1.0 


Figure  3.— Functional  response  curve  for  coho  salmon  greater  than  80  mm 
(predators)  and  sockeye  salmon  (prey)  in  Karluk  Lake.  The  index  of  prey  abun- 
dance was  divided  by  1,000,000  (e.g.  index  0.8  =  800,000  adults  in  the 
escapement). 


614 


results  are  alb  =  1.35,  c  =  3.74  (standard  error  = 
0.79),  R^  =  0.88,  ln(6-i)  =  46.98. 

Hence  Equation  (1)  becomes 

Y   =    6X3^4/(1    +    1.356X3^")  .   ft    ^    g -46.98 

Inasmuch  as  Y  ranges  between  zero  and  bla,  it 
seems  unlikely  that  Y,  or  a  corresponding  statistical 
error  term  for  Equation  (1)  would  be  approximated 
by  a  normal  distribution.  On  the  other  hand,  so  long 
as  Y  does  not  rise  above  b/a  (to  which  Equation  (1) 
constrains  it),  the  left  side  of  Equation  (2)  lies 
between  -  «>  and  +  <»,  and  the  error  term  is  more 
likely  approximated  by  a  normal  distribution.  Con- 
sequently, we  cautiously  used  the  standard  error 
associated  with  c,  to  test  whether  c  >  1.0;  that  is, 
whether  the  functional  response  curve  is  sigmoid 
(Type  III).  In  fact,  c  lies  more  than  3.5  standard 
errors  above  1  (Type  II  response)  and  more  than  2.2 
standard  errors  above  2  (Type  III  response).  Al- 
though the  power  of  a  test  involving  only  5  data 
points  is  weak,  we  feel  that  a  tentative  conclusion 
of  depensatory  predation  by  juvenile  coho  salmon 
is  justified. 

Discussion 

Many  adult  salmon  as  they  attempt  to  get  to  the 
spawning  grounds,  and  as  they  spawn,  are  killed  by 
Kodiak  brown  bears.  Card  (1971)  reviewed  the 
available  literature  concerning  predation  of  salmon 
by  bears  at  Karluk  and,  in  years  when  fish  were  not 
abundant,  noted  that  bears  had  been  observed  to 


leave  the  salmon  spawning  areas  to  feed  on  berries 
in  the  local  area,  indicating  that  their  predation  also 
may  be  depensatory.  We  used  data  from  Card's 
summary  to  approximate  the  relation  between  the 
number  of  adult  sockeye  salmon  in  a  nm  (X)  and 
the  number  of  unspawned  adults  (Y)  estimated  to 
have  been  killed  by  bears  (Fig.  4).  Although  R^  was 
only  0.424,  a  depensatory  relation  was  indicated  as 
Y  =  X2io6/(3io2.85  +  0.00435X2106).  c,  from 
Equation  (1),  was  2.106,  with  a  standard  error  of 
1.098.  Because  predation  of  sockeye  salmon  by 
bears,  as  well  as  predation  by  coho  salmon,  appeared 
to  be  depensatory,  it  is  unlikely  that  predation  by 
coho  salmon  alone  was  the  sole  cause  of  the  com- 
plex stock-recruitment  curve  for  sockeye  salmon. 
Prudent  management  of  these  salmon,  and  of 
salmon  in  systems  similar  to  Karluk,  may  require 
regulation  of  harvest  to  prevent  collapse  of  popula- 
tions into  relatively  low  equilibrium  regions.  Harvest 
levels  that  would  have  prevented  collapse  of  the 
Karluk  population  can  be  estimated  from  the  stock- 
recruitment  curve  (Fig.  2).  An  exploitation  rate 
between  30  and  35%  of  the  recruits  should  have 
maintained  stock  sizes  associated  with  the  upper 
equilibrium  region.  Exploitation  at  a  constant  rate 
of  0.40  increases  the  slope  of  the  replacement  line 
to  the  point  that  collapse  of  the  population  into  the 
lower  equilibrium  region  becomes  inevitable  (see 
Peterman  1977  for  a  description  of  the  relation 
between  the  size  of  stability  regions  and  exploita- 
tion rate).  When  depensatory  mortality  is  potentially 
high  for  economically  important  populations,  it  may 
be  necessary  to  limit  exploitation  to  less  than  35% 
of  the  recruits  to  prevent  collapse. 


X) 
V 


V 

E 

Z3 


0.2  0.4  0.6 

Millions  of  Adult  Salmon 


Figure  4.— Functional  response  curve  for  predation  of  sockeye  salmon  by 
bears.  Number  killed  is  thousands  of  unspawned  salmon. 


615 


Acknowledgments 

We  thank  Jon  Nelson  for  his  support,  and  all 
others  that  participated  in  the  project. 


Literature  Cited 

Barnaby,  J.  T. 

1944.    Fluctuations  in  abundance  of  red  salmon,  Oncorhyn- 
chus  nerka  (Walbaum),  of  the  Karluk  River,  Alaska.    Bull. 
U.S.  Bur.  Fish.  50:237-295. 
Fredin,  R.  a.,  S.  Pennoyer,  K.  R.  Middleton,  R.  S.  Roys, 
S.  C.  Smedley,  and  a.  S.  Davis. 
1974.    5.  Information  on  recent  changes  in  the  salmon  fish- 
eries of  Alaska  and  the  conditions  of  the  stocks.    Int.  North 
Pac.  Fish.  Comm.  Bull.  No.  29,  p.  37-142. 
Card,  R. 

1971.    Brown  bear  predation  on  sockeye  salmon  at  Karluk 
Lake  Alaska.    J.  Wildl.  Manage.  35:193-204. 
Rolling,  C.  S. 

1973.    Resilience  and  stability  of  ecological  systems.    Annu. 
Rev.  Ecol.  Syst.  4:1-23. 
Neave,  F. 

1953.  Principles  affecting  the  size  of  pink  and  chum  salmon 
populations  in  British  Columbia.  J.  Fish.  Res.  Board  Can. 
9:450-491. 

Peterman,  R.  M. 

1977.    A  simple  mechanism  that  causes  collapsing  stability 
regions  in  exploited  salmonid  populations.    J.  Fish.  Res. 
Board  Can.  34:1134-1142. 
Real,  L.  A. 

1979.    Ecological    determinants    of   functional    response. 
Ecology  60:481-485. 
RiCKER,  W.  E. 

1954.  Stock  and  recruitment.  J.  Fish.  Res.  Board  Can.  11: 
559-623. 

Rounsefell,  G.  a. 

1958.    Factors  causing  decline  in  sockeye  salmon  of  Karluk 
River,  Alaska.    Bull.  U.S.  Bur.  Fish.  58:83-169. 
Van  Cleave,  R.,  and  D.  E.  Bevan. 

1973.  Evaluation  of  the  causes  for  the  decline  of  the  Karluk 
sockeye  salmon  runs  and  recommendations  for  rehabilita- 
tion.   U.S.  Fish  Wildl.  Serv.,  Fish.  Bull.  71:627-649. 

John  D.  McIntyre 

Reginald  R.  Reisenbichler 

John  M.  Emlen 

National  Fishery  Research  Center 
U.S.  Fish  and  Wildlife  Service 
Building  20Jt,  Naval  Station 
Seattle,  WA  98115 


Richard  L.  Wilmot 
James  E.  Finn 


National  Fish  and  Wildlife  Research  Center 
U.S.  Fish  and  Wildlife  Service 
1101  E.  Tudor  Road 
Anchorage,  AK  99503 


616 


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Contents— ConHntted 


FARLEY,  C.  AUSTIN,  PETER  H.  WOLF,  and  RALPH  A.  ELSTON.  A  long-term  study 
of  "microcell"  disease  in  oysters  with  a  description  of  a  new  genus,  Mikrocytos  (g.  n.), 
and  two  new  species,  Mikrocytos  mackini  (sp.  n.)  and  Mikroaytos  rcmghleyi  (sp.  n.)  .     581 


Notes 

WILLIAMS,  AUSTIN  B.    Cojoined  twin  adult  shrimp  (Decapoda:  Penaeidae) 595 

GOULD,  EDITH,  DIANE  RUSANOWSKY,  and  DONNA  A.  LUEDKE.  Note  on 
muscle  glycogen  as  an  indicator  of  spawning  potential  in  the  sea  scallop,  Plac&pecten 
magellanicus  597 

JAMIESON,  GLEN  S.,  and  ELLEN  K.  PIKITCH.  Vertical  distribution  and  mass  mortality 
of  prawns,  Pandalus  platyceros,  in  Saanich  Inlet,  British  Columbia 601'" 

YANG,  MEI-SUN.  Morphological  differences  between  two  congeneric  species  of  pleuro- 
nectid  flatfishes:  Arrowtooth  flounder,  Atheresthes  stomias,  and  Kamchatka  flounder, 
A.  evermanni 608 

McINTYRE,  JOHN  D,  REGINALD  R.  REISENBICHLER,  JOHN  M.  EMLEN,  RICHARD 
L.  WILMOT,  and  JAMES  E.  FINN.  Predation  of  Karluk  River  sockeye  salmon  by  coho 
salmon  and  char 611 


•  GPO  791-008 


^^ATES  O^  ^ 


ulletin 


LIBRARY 

JUL    7  1989 


Woods  Hole,  Mass. 


Vol.  86,  No.  4 


October  1988 


MENDELSSOHN,  ROY.  Some  problems  in  estimating  population  sizes  from  catch- 
at-age  data 617 

BAYLIFF,  WILLIAM  H.  Integrity  of  schools  of  skipjack  tuna,  Katsuwonus  pelamis, 
in  the  eastern  Pacific  Ocean,  as  determined  from  tagging  data 631 

CASTRO,  MARGARIDA,  and  KARIM  ERZINI.  Comparison  of  two  length-frequency 
based  packages  for  estimating  growth  and  mortality  parameters  using  simulated 
samples  with  varying  recruitment  patterns 645 

LIN,  BIING-HWAN,  and  NANCY  A.  WILLIAMS.  Specifying  a  functional  form  for 
the  influence  of  hatchery  smolt  release  on  adult  salmon  production   655 

BEACHAM,  TERRY  D.,  CLYDE  B.  MURRAY,  and  RUTH  E.  WITHLER.  Age,  morphol- 
ogy, developmental  biology,  and  biochemical  genetic  variation  of  Yukon  River  fall  chum 
salmon,  Oncorhynchus  keta,  and  comparisons  with  British  Columbia  populations  ....     663 

YANG,  M.  S.,  and  R  A.  LIVINGSTON.  Food  habits  and  daily  ration  of  Greenland  halibut, 
Reinhardtius  hippoglossoides,  in  the  eastern  Bering  Sea 675 

CROSS,  JEFFREY  N.  Aspects  of  the  biology  of  two  scyliorhinid  sharks,  Apristums 
brunnetLS  and  Parmatums  xaniurus,  from  the  upper  continental  slope  off  southern 
California 691 

SHANKS,  ALAN  L.  Further  support  for  the  hypothesis  that  internal  waves  can  cause 
shoreward  transport  of  larval  invertebrates  and  fish 703 

HOBSON,  EDMUND  S.,  and  JAMES  R.  CHESS.  Trophic  relations  of  the  blue  rockfish, 
Sebastes  mystinus,  in  a  coastal  upwelling  system  off  northern  California 715 

GRIMES,  CHURCHILL  B.,  CHARLES  F  IDELBERGER,  KENNETH  W  ABLE,  and 
STEPHEN  C.  TURNER.  The  reproductive  biology  of  tilefish,  Lopholatilus  chamae- 
leonticeps  Goode  and  Bean,  from  the  United  States  Mid- Atlantic  Bight,  and  the  effects 
of  fishing  on  the  breeding  system 745 

HARGREAVES,  N.  B.    A  field  method  for  determining  prey  preferences  of  predators . . .     763 

FORD,  RICHARD  F,  BRUCE  F  PHILLIPS,  and  LINDSAY  M.  JOLL.  Experimental 
manipulation  of  population  density  and  its  effects  on  growth  and  mortality  of  juvenile 
western  rock  lobsters,  Panulirus  cygnus  George  773 

BARSHAW,  DIANA  E.,  and  DONALD  R.  BRYANT-RICH.  A  long-term  study  on  the 
behavior  and  survival  of  early  juvenile  American  lobster,  Homarus  americanus,  in 
three  naturaUstic  substrates:  eelgrass,  mud,  and  rocks 789 


{Continued  on  back  cover) 


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Fishery  Bulletin 


CONTENTS 


Vol.  86,  No.  4 


October  1988 


MENDELSSOHN,  ROY.  Some  problems  in  estimating  population  sizes  from  catch- 
at-age  data 617 

BAYLIFF,  WILLIAM  H.  Integrity  of  schools  of  skipjack  tuna,  Katsuwonus  pelamis, 
in  the  eastern  Pacific  Ocean,  as  determined  from  tagging  data 631 

CASTRO,  MARGARIDA,  and  KARIM  ERZINI.  Comparison  of  two  length-frequency 
based  packages  for  estimating  growth  and  mortality  parameters  using  simulated 
samples  with  varying  recruitment  patterns 645 

LIN,  BIING-HWAN,  and  NANCY  A.  WILLIAMS.  Specifying  a  functional  form  for 
the  influence  of  hatchery  smolt  release  on  adult  salmon  production   655 

BEACHAM,  TERRY  D.,  CLYDE  B.  MURRAY,  and  RUTH  E.  WITHLER.  Age,  morphol- 
ogy, developmental  biology,  and  biochemical  genetic  variation  of  Yukon  River  fall  chum 
salmon,  Oncorhynchus  keta,  and  comparisons  with  British  Columbia  populations  ....     663 

YANG,  M.  S.,  and  R  A.  LIVINGSTON.  Food  habits  and  daily  ration  of  Greenland  halibut, 
Reinhardtius  hippoglossoides,  in  the  eastern  Bering  Sea 675 

CROSS,  JEFFREY  N.  Aspects  of  the  biology  of  two  scyliorhinid  sharks,  Apristurus 
brunneus  and  Parmaturus  xaniurus,  from  the  upper  continental  slope  off  southern 
California 691 

SHANKS,  ALAN  L.  Further  support  for  the  hypothesis  that  internal  waves  can  cause 
shoreward  transport  of  larval  invertebrates  and  fish 703 

HOBSON,  EDMUND  S.,  and  JAMES  R.  CHESS.  Trophic  relations  of  the  blue  rockfish, 
Sebastes  mystinus,  in  a  coastal  upwelling  system  off  northern  California 715 

GRIMES,  CHURCHILL  B.,  CHARLES  F  IDELBERGER,  KENNETH  W  ABLE,  and 
STEPHEN  C.  TURNER.  The  reproductive  biology  of  tilefish,  Lopholatilus  chamae- 
leonticeps  Goode  and  Bean,  from  the  United  States  Mid-Atlantic  Bight,  and  the  effects 
of  fishing  on  the  breeding  system 745 

HARGRE  AVES,  N.  B.    A  field  method  for  determining  prey  preferences  of  predators .  . .     763 

FORD,  RICHARD  F,  BRUCE  F  PHILLIPS,  and  LINDSAY  M.  JOLL.  Experimental 
manipulation  of  population  density  and  its  effects  on  growth  and  mortality  of  juvenile 
western  rock  lobsters,  Panulirus  cygnus  George  773 

BARSHAW,  DIANA  E.,  and  DONALD  R.  BRYANTRICH.  A  long-term  study  on  the 
behavior  and  survival  of  early  juvenile  American  lobster,  Homarus  americanus,  in 
three  naturalistic  substrates:  eelgrass,  mud,  and  rocks 789 


{Continued  on  next  page) 

Seattle,  Washington 
1988 


For  sale  by  the  Superintendent  of  Documents,  U.S.  Government  Printing  01  ice, 
DC  20402— Subscription  price  per  year:  $16.00  domestic  and  $20.00  foreigr 
issue:  $9.00  domestic  and  $11.25  foreign. 


Marine  Biological  Laboratory 
LIBRARY 


Cost  pe. 


JUL    7  1989 


^jts  Hole,  Mass. 


(Contents— C'owimMerf) 

BLAYLOCK,  ROBERT  A.    Distribution  and  abundance  of  the  bottlenose  dolphin, 
Tursiops  truncatus  (Montagu,  1821),  in  Virginia 797 


Notes 

SEKI,  MICHAEL  R,  and  MICHAEL  W.  CALLAHAN.  The  feeding  habits  of  two  deep 
slope  snappers,  Pristipomoides  zonatus  and  P.  auricilla,  at  Pathfinder  Reef,  Mariana 
Archipelago 807 

DITTY,  JAMES  G.,  GLEN  G.  ZIESKE,  and  RICHARD  F.  SHAW.  Seasonality  and  depth 
distribution  of  larval  fishes  in  the  northern  Gulf  of  Mexico  above  latitude  26°00'N ...     811 

ROGERS,  CHRISTOPHER  W,  DONALD  R.  GUNDERSON,  and  DAVID  A.  ARMSTRONG. 
Utilization  of  a  Washington  estuary  by  juvenile  English  sole,  Parophrys  vetulus.  .  .     823 

SAFRIT,  GLEN  W,  and  FRANK  J.  SCHWARTZ.  Length-weight  relationships  for  gulf 
flounder,  Paralichthys  albigutta,  from  North  Carolina 832 

WIEBE,  PETER  H.  Functional  regression  equations  for  zooplankton  displacement 
volume,  wet  weight,  dry  weight,  and  carbon:  a  correction   833 

GRAVES,  JOHN  E.,  MARIE  A.  SIMOVICH,  and  KURT  M.  SCHAEFER.  Electro- 
phoretic  identification  of  early  juvenile  yellowfin  tuna,  Thunnus  albacares 835 

CAHOON,  LAWRENCE  B.,  and  CRAIG  R.  TRONZO.  A  comparison  of  demersal  zoo- 
plankton  collected  at  Alligator  Reef,  Florida,  using  emergence  and  reentry  traps .  . .     838 


Index 847 

Notice 860 


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SOME  PROBLEMS  IN  ESTIMATING  POPULATION  SIZES 
FROM  CATCH-ATAGE  DATA 

Roy  Mendelssohn' 


ABSTRACT 

A  new  method  for  estimating  population  sizes  from  catch-at-age  data  is  given.  The  method  treats  the 
observed  population  sizes  as  missing  data  and  uses  a  combination  of  the  Kalman  filter  and  the  EM 
algorithm  to  derive  maximum  likelihood  estimates  of  the  parameters  and  minimum  mean  square  error 
estimates  of  the  population  sizes.  The  algorithm  does  not  assume  that  the  observation  errors  and  the 
errors  in  the  population  dynamics  are  uncorrected  with  equal  variances,  which  is  a  common  assumption 
of  existing  techniques.  A  new  parameterization  for  both  recruitment  and  fishing  mortality  is  given,  based 
on  smoothness  priors.  Recruitment  (or  fishing  mortality)  is  estimated  as  a  nonparametric  function  of 
time  by  calculating  an  "optimal"  tradeoff  between  goodness-of-fit  and  smoothness  of  the  function.  The 
algorithm  allows  for  multiple  sources  of  observations  (fishing,  surveys,  etc.)  and  allows  for  missing  data 
in  the  observations,  which  can  arise  if  the  different  sources  of  the  observations  occur  on  different  time 
scales.  An  example  suggests  that  the  new  algorithm  may  better  capture  variation  that  is  important  when 
using  the  population  estimates  to  study  the  role  of  the  environment  (or  other  exogenous  variables)  on 
the  population  dynamics. 


I  can  address  the  motivation  of  this  paper  by  con- 
sidering a  slightly  modified  version  of  a  model  pro- 
posed by  Colhe  and  Sissenwine  (1983).  Assume  that 
the  underlying  population  dynamics  satisfy 

A^(a  +  1,  ^  +  1)  =  [Nia,t)  -  C(a,0]  m  +  w{a,t) 


a 


1,A 


(1) 


where  N{a,t)  is  the  number  of  fish  age  a  at  time  t, 
C{a,t)  is  the  catch  of  age  a  fish  at  time  t,  m  = 
exp{-m)  is  the  mortality  rate  and  the  vector  w{t) 
=  iw{l,t), .  .  .,w{A,t)y  is  a  sequence  of  indepen- 
dent, identically  distributed  normal  random  vectors 
with  mean  0  and  covariance  matrix  Q,  and  for  any 
vector  a,  the  notation  a^  denotes  the  transpose  of 
the  vector.  We  assume  that  the  initial  population 
vector  A'^(O)  is  gaussian  with  a  mean  of  pi  and 
covariance  1. 

The  population  itself  is  not  observed.  Instead  we 
observe  that 

n{a,t)  =  q(t)Nia,t)  +  v{a,t)  (2) 

where  q  is  an  unknown  parameter  and  the  vector 


'Southwest  Fisheries  Center  Pacific  Fisheries  Environmental 
Group,  National  Marine  Fisheries  Service,  NOAA,  P.O.  Box  831, 
Monterey,  CA  93942. 


v{t)  =  (v(l,t), ..  .,v  (A,  0)^  is  a  sequence  of  indepen- 
dent, identically  distributed  normal  random  vectors 
with  mean  0  and  covariance  matrix  R.  It  is  assumed 
that  E{v{t)  w{ty)  =  0;  that  is,  the  observation 
error  and  the  underlying  randomness  in  the  popula- 
tion are  uncorrelated.  There  is  some  interest  in  the 
value  of  the  estimates  of  the  q{t)  (or  if  mortality  is 
to  be  estimated,  in  the  estimate  of  m)  but  the  major 
interest  lies  in  estimating  the  unobserved  popula- 
tion sizes  N{a,t).  The  estimates  of  the  N{a,t)  should 
reflect  not  only  the  trend  in  the  population,  much 
as  a  regression  might,  but  also  the  period-to-period 
variation  of  the  population,  such  as  might  be  related 
to  environmental  changes.  This  will  be  the  emphasis 
throughout  the  paper. 

The  model  described  in  Equations  (1)  and  (2)  dif- 
fers from  that  of  Collie  and  Sissenwine  (1983)  in  that 
I  do  not  assume  that  the  mortality  rate  is  known; 
here  I  allow  the  underlying  population  dynamics  to 
be  random,  and  the  observation  errors  in  Equation 
(2)  to  be  additive  rather  than  multiplicative.  For 
known  in,  Collie  and  Sissenwine  (1983)  suggested 
minimizing 


T      A 

1   1  (v(a,0'  +  wia,tf) 

t=\   a=l 


(3) 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


over  the  parameters  (in  our  notation)  9  =  (q,N{t)) 

617 


FISIIEKV  BLLLETIN:  VOL.  86,  NO.  4 


where  N{t)  is  the  vector  of  unobserved  population 
sizes.  The  concern  here  is  not  whether  the  multi- 
plicative or  additive  form  of  the  model  is  more  cor- 
rect, but  rather  what  elements  of  the  model  are  data, 
what  are  parameters,  and  how  to  calculate  appro- 
priate estimates  of  each. 

If  there  were  all-seeing  observers,  both  the  popu- 
lation process  A/^(0  and  the  observation  process  n{t) 
would  be  available  as  data.  Equations  (1)  and  (2) 
imply  a  sequence  of  conditional  probability  distribu- 
tions/,v(A^(^  +  1)  |A^(0,  e,)  and  f,Mt)\  Nit),  d^), 
where  d^,  Q.,  are  parameters  of  the  distributions  to 
be  estimated.  Assuming  additive  gaussian  errors, 
then  01  would  include  the  mean  vector  FN{t)  and 
a  covariance  matrix  that  can  be  calculated  recursive- 
ly (see  below).  The  mortality  rate  m  serves  as  a  con- 
straint on  the  form  of  the  estimates  of  the  mean  vec- 
tor, much  as  in  the  theory  of  regression.  Similarly, 
the  parameters  for  the  observation  process  are  a 
mean  vector  H(t)N{t)  and  a  covariance  matrix, 
where  H{t)  in  this  case  depends  on  the  parameters 
q{t)  that  constrain  the  estimates  of  the  mean  vec- 
tor. With  an  all-seeing  observer,  both.  n{t)  and N{t) 
are  realized  values  of  random  vectors  and  hence,  are 
the  data  to  be  used  to  estimate  the  unknown  param- 
eters of  the  distributions,  6-^  and  02- 

Thus,  the  unobserved  population  sizes  are  most 
appropriately  treated  as  missing  data.  The  estima- 
tion scheme  proposed  by  Colhe  and  Sissenwine 
(1983)  treats  the N{t)as  parameters  to  be  estimated. 
Little  and  Rubin  (1983,  1987:  sec.  5.4)  showed  that 
treating  missing  data  as  parameters  in  likelihood 
equations  does  not  produce  maximum  likelihood 
estimates  of  the  parameters  unless  the  proportion 
of  missing  data  approaches  zero  as  the  sample  size 
increases.  This  is  because  much  of  the  asymptotic 
theory  of  maximum  likelihood  estimation  depends 
on  the  number  of  observations  becoming  large, 
relative  to  the  number  of  parameters.  Little  and 
Rubin  (1983,  1987)  showed  that  for  a  regression-like 
situation,  the  bias  due  to  treating  data  as  param- 
eters can  be  quite  large. 

The  alternate  approach  discussed  by  Little  and 
Rubin  (1983,  1987)  is  to  integrate  out  the  missing 
data  from  the  complete  data  likelihood  and  maximize 
this  function  over  the  parameters  as  usually  defined 
in  estimation  theory.  This  is  the  approach  taken  by 
Shumway  and  Stoffer  (1982a),  who  used  the  EM 
(expectation-maximization)  algorithm  of  Dempster 
et  al.  (1977)  and  Kalman  filtering  to  derive  maxi- 
mum likelihood  estimates  for  the  parameters  of  the 
model  and  minimum  mean  square  error  estimates 
of  the  missing  data. 


I  can  explain  some  of  the  problems  with  esti- 
mating Equations  (1)  and  (2),  using  the  likelihood 
of  Equation  (3).  Under  the  gaussian  assumptions  of 
the  model,  the  complete  data  log-likelihood  is  given 
by  (Shumway  and  Stoffer  1982a) 


log  I  I 


1 


(iV(0)  -  M(0))^  S 


- 1 


(iV(0)  -  M(0) 


^loglQI   -I  I(iV(0  -  FN{t  -  l)y 
2  2  /  =  i 

Q-i  (Nit)  -  FN(t  -  1)) 


rp  1 

-  log  I  i?  I  -  -  J.{n{t)  -  H{t)N{t)y  R-^  in{t) 
2  2  <  =  i 


H{t)N{t)) 


(4) 


whereF  =  ifil a.ndH{t)  =  qit)I.  Similarly,  the  com- 
plete data  log-likelihood  in  Equation  (3)  by  substi- 
tution is 


-111  Nit)  -  FNit  -  1)  I  |-  +  I  I  nit) 


t=\ 


-  Hit)Nit) 


(5) 


Collie  and  Sissenwine  (1983)  noted  that  their  estima- 
tion scheme  assumes  that  the  process  and  observa- 
tion errors  have  the  same  variance.  However,  from 
Equations  (4)  and  (5)  it  can  be  seen  that  they  make 
the  stronger  and  unlikely  assumption  that  both  the 
errors  in  the  population  dynamics  and  the  errors  in 
the  observation  process  are  uncorrected.  Further, 
we  can  see  from  Equation  (4)  that  when  the  Nit) 
are  treated  as  parameters,  the  estimates  of  the  Nit) 
depend  on  the  observed  data  nit)  for  t  =  1,T. 
Following  Shumway  and  Stoffer  (1982a),  the  ex- 
pected log-likelihood  conditioned  on  the  observed 
data  comprises  three  parts:  a  term  due  to  estimating 
the  expected  value  of  the  initial  population  size. 


618 


MENDELSSOHN:  ESTIMATING  POPULATION  SIZES 


^log|I|  -  ltr{^~'[P(0\T)  +  (NiO)  -  m) 


X  (iV(0)  -  H)^]},  (6) 

a  term  due  to  the  unobserved  dynamics, 


^  1  log  I  Q(0 
2  (=1 


-  ^  1  «r{Q(0-'  [(A'(<|r)  -  FNit  -  1\T)) 
2  ^=1 

X  (A^(^|T)  -  FNit\TV 

+  Pit\T)  +  FP{t  -  1\T)F'  -  Pit  -  1\T) 

X  F^  -  FP(t,  t  -  1\T)]},  (7) 

and  a  term  due  to  the  observation  process, 


J  I  log  1  Rit)  I 


-  -  1  tr{R{ty'[{nit)  -  H{t)Nit\T)) 
2  (=1 

X  {n{t)  -  Hit)Nit\T)y 
+  Hit)P{t\T)Hit)]}  (8) 

where  N{t\s)  denotes 
Nit\s)  =  E[Nit)\n{l),...Ms)l  (9) 

P{t\s)  denotes 
P(t|s)  =  E[iNit)  -  Nit\s)) 

X  (Nit)  -  N{t\s)y  I  nil), 
■■■Ms)],  (10) 

and  Pit,  t  -  l|s)  denotes 
Pit,t  -  lis)  =  EliNit)  -  Nit\s)) 

X  iNit  -  1)  -  Nit  -  l\s)y 
X  ln(l),...,n(s)].  (11) 


As  shown  in  Equations  (6)  through  (8),  the  proper 
estimates  of  the  Nit)  and  the  related  covariance 
matrices  should  be  conditional  expectations  based 
on  all  of  the  data  rather  than  on  only  the  data  up 
to  time  t.  Assuming  that  all  quantities  are  calculated 
properly,  estimates  that  include  only  the  data  up  to 
time  t  -  1  are  termed  "predicted"  estimates,  esti- 
mates that  include  only  the  data  up  to  time  t  are 
termed  "filtered"  estimates,  while  estimates  given 
all  the  data  are  termed  "smoothed"  estimates.  I 
shall  show  below  that  the  appropriate  formulas  for 
predicted,  filtered  and  smoothed  estimates  differ 
significantly.  Thus  using  Equation  (5)  as  the  likeli- 
hood and  treating  the  Nit)  as  parameters  does  not 
produce  proper  estimates  of  the  Nit). 

In  the  rest  of  this  paper,  I  review  state-space 
models  and  methods  for  estimating  both  the  param- 
eters and  the  unobserved  components  of  the  model. 
A  very  readable  background  for  what  follows  is 
chapter  3  in  Shumway  (1988).  The  estimation 
scheme  described  does  not  require  that  the  compo- 
nents of  R,  Q,  and  2  have  equal  variance  and  are 
uncorrected.  Explicit  estimates  of  these  matrices 
are  given.  Then  I  show  that  a  variety  of  age-based 
models  proposed  in  the  literature  can  be  formulated 
as  a  state-space  model,  but  that  the  formulations  as 
presented  make  the  same  error  of  treating  the  un- 
observed components  as  parameters,  and  assume 
zero  covariance  in  the  errors.  Auxiliary  information 
as  in  Deriso  et  al.  (1985)  can  be  put  into  this  for- 
mat. And  I  show  that  the  state-space  formulation 
can  include  multiple  observations  of  the  population, 
but  where  some  of  the  observations  are  missing. 
This  can  arise  when  the  population  is  observed  from 
fishing  and  from  a  variety  of  surveys,  but  some  of 
the  surveys  are  not  done  every  year.  This  is  essen- 
tially the  problem  discussed  in  Methot^.  I  give  true 
maximum  likelihood  estimates  for  this  model,  allow- 
ing the  different  observation  processes  to  have  dif- 
ferent error  structures  and  estimate  the  relative 
weight  that  should  be  given  each.  This  is  a  sig- 
nificant advance  over  the  procedure  in  Methot 
(fn.  2). 

A  related  paper  is  the  analysis  of  Brillinger  et  al. 
(1980)  who  use  a  modified  Kalman  filter  and  max- 
imum likelihood  estimation  to  estimate  the  average 
birth  and  death  rates  and  population  structure  of 
Nicholson's  blow-fly  data  when  only  total  numbers 


^Methot,  R.  1986.  Synthetic  estimates  of  historical  abundance 
and  mortahty  for  northern  anchovy,  Engraulis  mordax.  Adm. 
Rep.  LJ-86-29.  Southwest  Fisheries  Center  La  JoUa  Laboratory, 
National  Marine  Fisheries  Service,  NOAA,  P.O.  Box  271,  La  Jolla, 
CA  92038. 


619 


FISHERY  BULLKTIN;  VOL.  86.  NO.  4 


of  births  and  deaths  at  any  time  are  available.  In 
their  model,  knowing  the  births  is  equivalent  to 
knowing  the  recruitment  at  each  time  period  and 
the  deaths  are  observed  directly  without  error.  Also, 
they  appear  to  use  the  filtered  estimates  of  the 
population  structure,  while  the  smoothed  estimates 
are  the  minimum  mean  squared  estimates  given  all 
the  data.  P.  Sullivan^  in  his  Ph.D.  dissertation  in- 
dependently developed  a  length-based  fishery  model 
using  Kalman  filtering  and  maximum  likelihood 
estimation. 

I  reiterate  that  the  models  considered  here  assume 
additive  errors,  while  much  of  the  existing  literature 
prefers  multiplicative  errors,  particularly  for  the 
observation  equation.  The  basis  of  this  preference 
appears  to  be  that  models  with  multiplicative  errors 
have  given  a  better  "fit"  to  the  data  for  other  esti- 
mation schemes.  In  these  estimation  schemes  the 
errors  are  assumed  to  have  equal  variances  and  are 
assumed  to  be  uncorrelated.  The  better  fit  found  for 
multiplicative  errors  in  these  algorithms  may  be  due 
to  these  assumptions  on  the  error  variances.  In  ef- 
fect, the  errors  are  being  scaled  by  the  observed  data 
which  suggests  that  the  assumption  of  equal  vari- 
ances is  incorrect.  In  the  present  formulation  I 
assume  additive  errors,  but  I  can  allow  for  errors 
with  unequal  variances,  for  errors  that  depend  on 
the  size  of  either  the  observed  catch  n{a,t)  or  on  the 
unobserved  population  N{a,t),  and  for  missing 
observations,  and  I  can  obtain  simple  to  compute 
standard  errors  of  the  estimated  underlying  popu- 
lation sizes.  The  algorithm  is  also  simple  to  program. 
If  multiplicative  errors  are  assumed,  it  is  more  dif- 
ficult to  calculate  exact  maximum  likelihood  esti- 
mates. Approximate  likelihood  methods  (such  as  the 
extended  Kalman  filter)  have  known  undesirable 
properties.  When  the  full  richness  of  the  assump- 
tions allowed  in  additive  error  models  is  used,  it  is 
an  open  question  if  multiplicative  errors  are  to  be 
preferred. 

STATE  SPACE  MODELS 

The  State-Space  Model  can  be  written  in  the  form 
(Jazwinski  1970;  Anderson  and  Moore  1979;  Ljung 
and  Soderstrom  1983): 

xit)  =  F{t)x{t  -  1)  +  B{t)u{t  -1)  +  Gw{t)  (12) 

y{t)  =  H{t)xit)  +  v{t)  (13) 


^P.  Sullivan,  Center  of  Quantitative  Sciences,  University  of 
Washington,  Seattle,  WA  98195,  pers.  commun.  1988. 


where  x(t)  =  (xiit), .  .  .,x^,(0)'  is  the  p-dimensional 
unobserved  state  of  the  system;  u{t)  =  (Wi(0.  •  •  •- 
UjXf))'  is  a  p-dimensional  vector  of  deterministic  in- 
puts; ^(0  =  iy\{t).  .  ■  ■,y,f{t)y  is  the  observed  data 
of  the  system;  w{t)  =  {w^{t), .  .  .,w^,{t)y  is  a  se- 
quence of  zero  mean  normal  vectors  with  common 
covariance  matrix  Q;  v{t)  =  {v^{t),  .  .  .,v,^{t)y  is  a 
sequence  of  zero  mean  normal  vectors  with  common 
covariance  matrix  R\  and  F,  B,  G,  and  H  are  ap- 
propriately dimensioned  matrices  that  may  depend 
on  an  unknown  parameter  vector  B.  Note  that  q,  the 
dimension  of  the  observation  vector,  can  be  larger 
than  p,  the  dimension  of  the  state  vector.  Thus 
several  different  observation  processes  of  the  under- 
lying dynamics  are  allowed. 

Using  the  same  notation  as  in  Equations  (9)  and 
(10),  the  predicted,  filtered,  and  smoothed  estimates 
of  the  state  vector  and  the  covariance  matrices  can 
be  calculated  recursively  as  follows:  for  prediction 
and  filtering, 

x{t\t  -  1)  =  F{t)x{t  -  l\t  -  1)  +  Bu{t  -  1)    (14) 

P{t\t  -  1)  =  F{t)P{t  -  l\t  -  l)Fity 

+  GQ{t)G^  (15) 

Kit)  =  P{t\t  -  l)H{ty 

X  {H{t)P{t\t  -  l)H{ty  +  7^(0)  '  (16) 

xit\t)  =  xit\t  -  1)  +  Kit) 

X  iyit)  -  Hit)xit\t  -  1))  (17) 

Pit\t)  =  Pit\t  -  1)  -  Kit)Hit)Pit\t  -  1)    (18) 

where  x(0|0)  =  ^i  and  P(0|0)  =  I,  and  for  smoothing. 

Jit  -  1)  =  Pit  -  l\t  -  l)HityiPit\t  -  l))-i  (19) 

xit  -  1\T)  =  xit  -  l\t  -  1)  +  Jit  -  1) 

X  ixit\T)  -  xit\t  -  1))  (20) 

Pit  -  1\T)  =  Pit  -  l\t  -  1)  +  Jit  -  1) 

X  iPit\T)  -  Pit\t  -  l))Jit-  1)^(21) 

The  predicted  state  variable  xit\t  -  1)  differs  from 
the  quantity  often  used  as  the  predicted  value  in  the 
fisheries  literature  in  that  it  is  based  on  the  last 
period's  filtered  estimate  rather  than  on  the  last 


620 


MENDELSSOHN:  F.STIMATIN(;  I'OPILATION  SIZES 


period's  predicted  estimate.  (For  example,  Deriso 
et  al.  (1985)  suggested  using  backward  VPA  or 
cohort  analysis  to  obtain  predicted  values.)  The 
filtered  estimate  x{t  |0  is  a  weighted  average  of  the 
predicted  value  of  x{t\t  -  1)  and  the  observed  er- 
ror in  estimating  y{t),  where  the  weighting  term 
K{t)  (the  Kalman  gain  matrix)  is  regression-like. 
Similarly,  the  covariance  of  the  estimate,  as  meas- 
ured by  P{t  \t  -  1),  increases  due  to  the  prediction, 
but  decreases  by  the  amount  K{t)H{t)P{t\t  -  1) 
after  the  observation  has  been  made.  The  smoothed 
estimate  x{t\T),  which  is  the  correct  estimate  of  the 
underlying  population  (it  satisfies  the  conditional  ex- 
pectation), is  found  by  a  backward  recursion  on  the 
filtered  estimates,  where  the  filtered  estimate  is  ad- 
justed by  a  regression  on  the  error  between  the 
smoothed  and  predicted  estimates  of  the  following 
period.  Thus  the  smoothed  estimates  correct  the 
predicted  estimates  both  by  the  error  in  predicting 
the  observed  data  as  well  as  by  the  error  in  pre- 
dicting the  underlying  population  when  using  the 
filtered  estimates  of  the  underlying  population.  The 
square  roots  of  the  diagonal  terms  of  the  various 
P  matrices  produced  by  the  Kalman  recursions  are 
the  standard  errors  of  the  predicted,  filtered,  and 
smoothed  estimates  of  the  population. 

Equations  (12)  and  (13)  are  the  basic  form  of  the 
state-space  model.  It  is  a  simple  extension  to  the 
model  to  allow  any  of  the  matrices  F,  B,  G,  or  H 
to  be  nonlinear  functions  of  the  past  values  of  the 
yit)  (see,  for  example,  Shiryayev  (1984),  section 
VI. 7),  to  allow  the  error  vectors  w{t)  and  v{t)  to  de- 
pend on  past  values  of  the  y{t)  (Shiryayev  1984),  or 
to  allow  the  v{t)  to  depend  on  the  underlying  state 
vector  x{t)  (Zehnwirth  1988). 

In  a  typical  fisheries  problem,  the  matrix  H{t) 
represents  fishing.  If  some  age-specific  measure  of 
effort  E{a,t)  is  known,  then  H(t)  is  a  diagonal 
matrix  with  E{a,t)  on  the  diagonals.  Or  it  may  be 
assumed  that  the  exploitation  rate  is  of  the  form 
s{a)E{t),  where  E{t)  is  known  and  the  s(a)  values 
are  to  be  estimated.  Then  for  given  values  of  s(a), 
the  matrix  H(t)  has  s{a)E{t)  on  its  diagonals.  The 
matrix  F{t)  is  formed  in  a  similar  manner  to  repre- 
sent the  population  dynamics. 

In  some  parameterizations,  it  is  assumed  that  a 
known  vector  is  subtracted  from  the  state  vector 
either  before  or  after  the  effect  of  F  on  the  popu- 
lation. For  example,  the  known  vector  might  be  the 
catch  from  the  previous  time  period.  The  extension 
to  the  Kalman  filter  in  this  case  is  straightforward, 
an  example  of  which  can  be  found  in  Jazwinski 
(1970).  Essentially,  all  predicted  estimates  of  the 


state  are  corrected  by  the  constant  amount.  The 
covariance  and  gain  calculations  are  unaffected  by 
the  known  vector. 

The  Kalman  filter.  Equations  (14)  through  (21), 
assumes  that  the  matrices  F,  B,  G,  H,  R,  Q,  and  I, 
and  the  vector  jj.  are  known.  For  fisheries  problems, 
the  matrices  F  and  H  usually  depend  on  a  set  of 
parameters  to  be  estimated  (e.g.,  F  =  ml),  and  R, 
Q,  and  ^  are  to  be  estimated.  Let  0  be  a  vector  con- 
taining the  parameters  that  F  and  H  depend  on,  and 
let  0  =  (0,i?,Q,/i)  be  the  total  parameters  of  the 
model.  Shumway  and  Stoffer  (1982a)  showed  that 
conditional  on  0,  the  complete  data  likelihood  is 
given  by  Equation  (4).  They  apply  a  result  of  Demp- 
ster et  al.  (1977),  which  shows  that  maximum  like- 
lihood estimates  of  the  parameters  can  be  obtained 
by  finding  the  conditional  expectation  (the  E-step) 
of  the  complete  data  likelihood  with  respect  to  the 
missing  "data"  (in  this  case  the  missing  data  are  the 
sufficient  statistics  of  the  normal  distribution)  and 
alternately  estimating  the  expected  value  of  the 
missing  data,  and  then  maximing  the  likelihood  (the 
M-step)  using  the  completed  data.  Shumway  and 
Stoffer  (1982a)  showed  that  the  expected  conditional 
log-likelihood  is  given  by  Equations  (6)  through  (8). 
All  of  the  terms  in  this  likelihood,  for  a  given  value 
of  0,  can  be  found  by  the  Kalman  filter.  Moreover, 
given  these  values,  the  maximization  problem  is  a 
deterministic  one. 

If  we  assume  that  the  matrix  F  is  independent  of 
time  and  unrestricted,  then  Shumway  and  Stoffer 
(1982a)  showed  that  the  maximization  step  is  accom- 
plished by  setting 


F  =  5,(l)5,_i(0)-i 

Q  =  (5,(0)  -  S,{l)Sf_\{0)St(iy)/T 

T 

R  =  T-'^  [{y{t)  -  H{t)x{t\T) 

t=\ 

X  {y{t)  -  H{t)x{t\T)y 
+  H{t)P{t\T)H{ty] 
M    =  x{0\T). 

T 

where       5,(j)  =   I  iPit,t  -  j\T) 

+  xit\T)xit  -JlTY). 


(22) 
(23) 


(24) 
(25) 


(26) 
621 


FISHKRY  BULLETIN:  VOL.  m.  NO.  4 


Shumway  and  Stoffer  (1982a)  gave  a  recursive  for- 
mula for  calculating  P(<,^  -  1|T)  while  performing 
the  backward  smoothing  recursion. 

If  we  assume  that  F  is  constrained  to  be  of  the 
form  F  =  TfiD  where  m  is  a  constant  and  D  is  a 
known  matrix,  then  Shumway  and  Stoffer  (1982b) 
showed  that 

Q  =  (C  -  rhBD'  -  mDB'  +  rh'^DAD')      (27) 


m  = 


tr{Q-^DAD') 


(28) 


Equations  (27)  and  (28)  can  be  solved  by  taking 
an  initial  guess  for  m,  then  iteratively  solving  for 
Q  and  m  until  the  values  converge. 

Finally,  we  can  make  explicit  the  effect  of  assum- 
ing equal  variances  and  no  co variances  for  both  w{t) 
and  v(t).  For  given  estimates  of  Q  and  R,  since  both 
are  square,  symmetric  matrices,  they  can  be  fac- 
tored as 

Q  =  UDU' 

R  =  LL' 

where  U'ls  an  upper  triangular  matrix,  Z)  is  a  diag- 
onal matrix,  and  L  is  the  lower  triangular  square 
root  of  R.  To  obtain  an  underlying  population 
dynamic  that  has  an  uncorrelated  error  vector  w{t) 
and  uncorrelated  observations  with  variances  of  1, 
we  make  the  following  transformations: 

G  =  GU 

y{t)  =  L-'yit) 

H{t)  =  L-'Hit) 

v{t)  =  L-h{t) 

and  replace  G,  w,  y,  H,  and  v  in  Equations  (14) 
through  (21)  with  the  transformed  values.  Then  v{t) 
has  covariance  matrix  7,  and  'w{t)  has  co  variance 
matrix  D.  The  assumption  that  both  the  error  in  the 
dynamics  and  in  the  observations  are  equal,  further 
constrains  the  values  of  D  to  be  identical.  This  is 
a  very  strong  assumption. 

AN  EXAMPLE 

As  an  example  of  these  methods,  I  use  the  data 
622 


for  Pacific  mackerel  published  in  Parrish  and 
MacCall  (1978).  I  emphasize  that  I  am  only  using 
these  data  for  illustrative  purposes  and  do  not  claim 
to  be  making  a  careful,  thorough  reexamination  of 
the  problem.  Though  m  can  be  estimated  using 
Equation  (28),  I  assume  that  the  value  of  m  is  known 
a  priori.  If  I  were  to  use  a  different  value  of  m,  it 
would  be  difficult  to  judge  to  what  extent  the  new 
estimates  differ  solely  due  to  the  different  mortal- 
ity rate,  rather  than  due  to  the  estimation  scheme. 
I  assume,  as  in  the  reference,  that  the  mortality  rate 
m  is  equal  to  0.5,  so  that  the  F  matrix  in  my  nota- 
tion is  a  matrix  with  a  value  of  0.6065  in  position 
(i,  i  -  1),  i  =  2,  .  .  .  ,7,  corresponding  to  the  under- 
lying dynamics  for  age  groups  1  through  6. 

Recruitment  in  Pacific  mackerel  is  highly  variable. 
I  want  to  obtain  estimates  of  recruitment  that  ac- 
curately reflect  this  variability  while  still  being  con- 
sistent with  the  observed  data.  Also,  I  do  not  want 
to  a  priori  assume  a  functional  relationship  between 
recruitment  and  population  size.  To  this  end,  I 
assume  that  the  recruitment  time  series,  after  tak- 
ing differences  of  a  given  order,  is  a  random  vari- 
able, i.e., 


V'^r(0  =  w{t) 


(29) 


where  w{t)  is  a.  normal  random  variable  with  a  mean 
of  zero  and  with  an  unknown  variance  o"  and  V''' 
denotes  A;th  order  finite  differencing.  Akaike  (1979) 
originally  showed  that  this  formulation  is  the  dis- 
crete equivalent  of  fitting  a  spline  to  the  data  (in 
this  case  as  a  function  of  time),  where  the  estimate 
of  the  variance  o"  expresses  the  tradeoff  between 
the  degree  of  smoothness  in  the  fitted  curve  with 
fidelity  to  the  observed  data.  In  this  approach,  k  and 
the  variance  of  w{t)  are  treated  as  hyperparameters 
of  the  model.  A  fitting  criterion  such  as  AIC  is  then 
used  to  determine  the  best  value  of  k  given  the  data. 
Following  Kitagawa  and  Gersch  (1984),  I  could  use 
smoothness  priors  to  more  generally  decompose 
recruitment  as 


r{t)  =  Tit)  +  Sit)  +  4(0  +  wit) 


(30) 


where  Tit)  is  a  trend  term  (as  in  Equation  (29)),  Sit) 
is  a  seasonal  term,  and  |(0  is  an  irregular  stationary 
term.  A  decomposition  such  as  Equation  (30)  would 
be  useful,  for  example,  in  modeling  the  monthly  an- 
choveta  recruitment  considered  in  Mendelssohn  and 
Mendo  (1987).  However,  for  convenience  in  this 
paper,  I  restrict  recruitment  to  be  of  the  form  in 
Equation  (29). 


MENDELSSOHN:  ESTIMATING  POPULATION  SIZES 


The  relationship  between  this  "smoothness 
priors"  approach,  "smoothing  spHnes",  and  other 
penalized  likelihood  methods  is  discussed  further  for 
a  variety  of  contexts  in  Brotherton  and  Gersch 
(1981),  Kitagawa  and  Gersch  (1984,  1985,  1988), 
Ansley  and  Kohn  (1986),  and  Kohn  and  Ansley 
(1987,  1988).  Wahba  (1977)  and  O'Sullivan  (1986) 
discussed  the  relationship  between  generalized 
cross-validation,  penalized  likelihood  functions,  and 
determining  the  tradeoff  between  smoothness  and 
fit. 

For  k  =  0,  Equation  (29)  models  recruitment  as 
a  random  variable  around  a  fixed  but  unknown  mean 
value.  For  k  =  1,  Equation  (29)  models  recruitment 
as  a  random  walk  with  unknown  mean  level  and  drift 
(variance).  Higher  values  of /c  have  similar  interpre- 
tations. Values  of  A'  higher  than  two  or  three  rarely 
need  to  be  considered,  since  these  include  the  dis- 
crete equivalent  of  cubic  splines.  Cubic  splines  can 
approximate  most  functionals  (in  this  case  of  time) 
to  a  reasonable  degree  of  accuracy. 

For  this  example,  I  assume  k  =  1,  so  that 


r(0  =  r{t  -  1)  +  w{t) 


(31) 


which  is  a  random  walk  with  unknown  variance.  (A 
more  complete  analysis  of  this  data  would  probably 
also  include  an  irregular  stationary  term  as  in  Equa- 
tion (30)  and  determine  the  "best"  order  of  differ- 
encing using  a  given  criterion.)  Equation  (31)  can 
be  incorporated  into  the  state  space  model  by  let- 
ting the  (1,1)  element  of  the  matrix  F  be  equal  to 


1.  The  matrices  H{t)  are  diagonal  matrices  whose 
values  are  calculated  from  table  13  in  Parrish  and 
MacCall  (1978).  Because  I  am  assuming  that  the 
estimates  of  F  are  known,  then  the  value  of  Q  for 
the  M  step  is  maximized  as 


T-\S,iO)  -  S,{1)F^  -  FS,il)  +  FS,_,{0)F^]. 


(32) 


As  in  Parrish  and  MacCall  (1978),  I  treated  age 
groups  4  through  6  as  fully  selected  by  the  fishery, 
and  will  refer  to  these  age  groups  as  "adults". 
Similarly,  I  refer  to  the  number  of  age-1  fish  at  the 
start  of  the  season  as  the  number  of  recruits.  I 
assume  that  F  and  H{t)  are  known,  so  the  estima- 
tion problem  is  reduced  to  determining  the  means 
of  the  initial  population  sizes  and  the  values  of  the 
two  covariance  matrices  Q  and  R. 

The  resulting  maximum  likelihood  estimates  of  Q 
and  R  (Tables  1,  2)  show  that  the  variances  of  the 
error  terms  differ  by  up  to  two  orders  of  magnitude, 
hardly  meeting  the  usual  assumption  of  equal  vari- 
ances. Moreover,  the  covariances  (expressed  as  cor- 
relations in  the  tables)  are  quite  high,  so  that  using 

-  as  a  weighting  factor  will  not  be  adequate.  The 
a 

predicted,  filtered,  and  smoothed  estimates  of  the 
adults  (Fig.  1)  are  very  similar,  reflecting  that  the 
errors  have  been  "filtered  out"  over  time  by  the 
population  dynamics. 


Table  1  .—Estimated  values  of  the  matrix  O  presented  as  a  variance-correlation  matrix.  The  diagonal 
terms  are  the  variances,  and  the  off-diagonal  terms  are  the  cross-correlations. 


Age  0 

Age  1 

Age  2 

Age  3 

Age  4 

Age  5 

Age  6 

Age  0 

8.72E  +  09 

-0.9075 

0.2429 

0.0592 

0.1785 

-0.2096 

0.0249 

Age  1 

4.59E  +  09 

-0.1750 

-0.0574 

-0.1658 

0.1803 

-0.0432 

Age  2 

1.07E-I-09 

0.0396 

0.2416 

0.1109 

0.0675 

Age  3 

5.28E  +  08 

0.7030 

0.5964 

0.3140 

Age  4 

1.90E-t-08 

0,6717 

0.3944 

Age  5 

3.08E  +  07 

0.4854 

Age  6 

2.18E  +  06 

Table  2. — Estimated  values  of  the  matrix  R  presented  as  a  variance-correlation  matrix. 


Age  0 

Age  1 

Age  2 

Age  3 

Age  4 

Age  5 

Age  6 

Age  0 

7.30E  +  07 

-0.0497 

0.8505 

0.7367 

0.6594 

0.5120 

-0.4019 

Age  1 

2.62E  +  07 

0.1594 

0.0896 

-0.0544 

-0.3411 

0.4325 

Age  2 

4.95E  +  06 

0.6764 

0.6412 

0.3830 

-0.2418 

Age  3 

3.43E  +  06 

0.7286 

0.4908 

-0.2260 

Age  4 

7.11E  +  05 

0.5708 

-0.2030 

Age  5 

2.05E-I-05 

-0.1331 

Age  6 

5.40E  +  04 

623 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


on 


Q 
< 

O 

oi 
w 

CQ 


C/5 

w 


50000 


40000 


30000  - 


20000 


10000  - 


0 


1930 


— 

-     FILTERED 
PREDICTED 

;  1 

All  / 

1 

1       ^ 

r                   1 

1940 


1950 


1960 


1970 


TIME 

Figure  1.— Estimated  number  of  adults,  1939-65,  using  values  from  Parrish  and  MacCall. 


The  predicted,  filtered,  and  smoothed  estimates 
of  the  recruits  (Fig.  2),  unlike  those  of  the  adults, 
are  not  similar.  The  filtered  and  smooth  estimates 
are  often  indistinguishable,  but  there  are  some  years 
(such  as  1941  and  1943)  where  there  are  significant 


differences.  The  predicted  values  are  very  smooth, 
tending  to  emphasize  the  trend  in  the  recruitment. 
In  an  analysis  of  recruitment  estimates  produced  by 
standard  cohort  analysis  of  the  anchoveta  off  Peru, 
Mendelssohn  and  Mendo  (1987)  found  the  estimates 


600000 


SMOOTHED 

FILTERED 

PREDICTED 


1930 


1940 


1950 


1960 


1970 


TIME 

Figure  2.— Estimated  number  of  recruits,  1939-65,  using  values  from  Parrish  and  MacCall. 


624 


MENDELSSOHN:  ESTIMATING  POPULATION  SIZES 


to  be  far  too  smooth.  The  results  of  this  present  ex- 
ample may  explain  their  observation.  If  these  values 
were  used  in  a  subsequent  analysis,  say  to  determine 
the  role  of  the  environment  on  recruitment,  a  totally 
false  picture  of  this  relationship  could  emerge.  I  em- 
phasize that  the  predicted  estimates  are  calculated 
from  the  previous  season's  filtered  values,  whereas 
it  is  often  true  in  the  fisheries  literature  that  the 
predicted  values  are  estimated  from  the  previous 
predicted  values,  rather  than  from  the  filtered 
values.  Direct  comparison  with  the  estimate  in 
Parrish  and  MacCall  (1978)  are  difficult  because 
restricting  recruitment  to  be  of  the  form  (Equation 
(29))  with  k  fixed,  rather  than  the  more  general  form 
(Equation  (30))  with  k  variable,  may  not  be  appro- 
priate for  the  Pacific  mackerel  data.  But  overall, 
their  estimates  tend  to  resemble  the  smoother  trend 
of  my  predicted  estimates. 

RELATIONSHIP  TO  OTHER  LITERATURE 
AND  A  NEW  PARAMETERIZATION 

If  the  models  are  restricted  to  additive  errors, 
then  most  of  the  simpler  difference  equation  models 
proposed  in  Collie  and  Sissenwine  (1983),  Deriso 
et  al.  (1985),  Fournier  and  Archibald  (1982),  Four- 
nier  and  Doonan  (1987),  and  among  others  can  be 
formulated  as  I  did.  Some  of  these  models  assume 
recruitment  is  a  nonlinear  function  of  the  underly- 
ing population,  which  cannot  be  handled  in  this 
model  without  some  modifications  (suggested 
below).  However,  all  of  these  authors  treat  the 
underlying  population  sizes  as  parameters  of  the 
data  rather  than  as  missing  data.  As  discussed 
earlier,  it  is  questionable  whether  this  will  produce 
proper  estimates  of  the  underlying  populations. 
Biases  from  treating  missing  data  as  parameters  in 
a  regression  setting  are  explicitly  discussed  in  Little 
and  Rubin  (1983,  1987). 

A  very  broad  class  of  possible  models  that  can  be 
selected  to  model  catch-at-age  data  are  given  by 
Schnute  (1985).  He  correctly  identified  the  values 
that  are  parameters  of  the  difference  equations  he 
discusses,  and  these  are  sufficient  for  estimating  the 
likelihood  (if  evaluated  properly).  However,  if  we 
assume  observation  error,  then  it  can  be  shown  (see, 
for  example,  Shumway  1988)  that  the  innovations 
are  determined  by  predictors  calculated  from  the 
previous  period's  filtered,  rather  than  predicted 
values.  Moreover,  the  minimum  mean  squared  error 
estimates  of  the  underlying  populations,  as  dis- 
cussed earlier,  are  the  smoothed  estimates.  It  ap- 
pears that  Schnute  (1985)  used  the  predicted  or. 


at  best,  the  filtered  estimates  of  the  underlying 
populations. 

A  popular  parameterization  that  appears  to  have 
been  first  suggested  by  Doubleday  (1976)  is  to 
assume  that  the  observation  matrix  H{t)  is  of  the 
form  H{t)  =  {s{a)f{t)}  where  s{a)  is  an  age-depen- 
dent selectivity  factor  and/(0  is  a  time-dependent 
exploitation  rate.  These  values  can  be  found  by  using 
a  minimization  routine  during  the  M-step  of  the 
algorithm.  However,  it  should  be  noted  that  the 
estimate  of/(0  for  each  t  will  depend  on  R  and  that 
the  estimate  ofR  will  depend  on  both  s(-)  and/(-), 
so  that  either  R,  s,  and  /  should  be  solved  for 
together,  or  else  they  should  be  successively  solved 
for  using  Equation  (7)  while  holding  the  other 
parameter  values  fixed. 

Alternatively,  Equation  (7)  can  be  differentiated. 
Then  for  given  values  of/(0,  the  optimum  value  of 
the  vector  s(a)  at  each  iteration  are  the  diagonals 
of  the  matrix  S  given  by 


S  =  AB' 


(33) 


where  A  =    1  y{t)x{t\Tyfit),  and  5  =   1  f^{t) 


t  =  i 


(  =  1 


{P{t\T)  +  x{t\T)xit\Ty.  However,  this  is  an  un- 
constrained estimate  and  does  not  guarantee  that 
s(a)  is  between  (0,1).  It  can  be  shown  that  the  op- 
timal solution  is  to  set  s(a)  at  zero  if  s (a)  is  negative 
or  to  1  if  s(a)  is  greater  than  1. 

For  fixed  values  of  sia)  and  R,  Equation  (7)  is 
maximized  when/(0  takes  the  value 


fit) 


tr{R-^y{t)x{t\TYS') 


tr{R-^S{P{t\T)  +  xit\T)xit\Ty)S') 


(34) 


where  the  matrix  iS  is  as  above.  This  is  the  uncon- 
strained solution.  The  constrained  solution  again  is 
to  force  the  estimate  to  He  within  the  closed  inter- 
val (0, 1)  as  with  the  estimate  of  the  s{a).  Since  the 
estimates  oiR,  s{a),  and/(0  are  interrelated,  I  have 
found  it  to  be  a  workable  procedure  to  first  estimate 
Q  as  given  above  and  then  for  a  given  number  of 
iterations,  iteratively  solve  for /(f)  then  s(a).  When 
these  values  stabilize,  estimate  R  using  the  formula 
given  above.  While  this  procedure  does  not  neces- 
sarily maximize  Equation  (7),  it  is  sufficient  for  the 
generalized  EM  algorithm  the  new  values  increase 
the  function  given  in  Equation  (7). 

As  with  the  original  estimates,  the  smoothed  and 
filtered  estimates  of  recruitment  (Fig.  3)  are  close 


625 


FISHERY  BI'LLKTIN:  VOL.  86,  NO,  4 


400000  r- 


g     300000 
U 

w 
p- 

2     200000 

w 
CQ 

IS 


00 

W 


100000 


0 


SMOOTHED 

HLTERED 

PREDICTED 


1930 


1940 


1950 


1960 


1970 


TIME 

Figure  3.— Estimated  number  of  recruits  1939-65,  assuming  q(a,  t)  =  f(t)s(a). 


to  each  other,  while  the  predicted  values  are  too 
smooth.  The  estimated  values  of/(f )  (Fig.  4)  general- 
ly decline  with  time.  All  three  estimates  are  signifi- 
cantly different  from  the  previous  estimates.  Years 
where  relative  highs  and  lows  occur  differ,  show- 
ing the  sensitivity  of  this  class  of  models  to  the 


assumed  form  of  the  H  matrix.  Since  the  estimates 
oi  R,  s{a)  and/(0  are  interrelated,  I  suspect  that 
the  parameter  estimates  are  highly  correlated  and 
hence  unstable.  While  I  have  not  calculated  the 
parameter  covariance  matrix,  it  should  be  checked 
for  any  serious  analysis  using  these  techniques. 


0.4 


^        0.3 


0.2 


0.1 


H 
< 

Z 

o 

< 

O 
J 

CL 

X 

PU 

O 
H 

< 

Ol, 

pL. 

on 
U 


0.0 


1930 


1940 


1950 


1960 


1970 


TIME 

Figure  4.— Estimated  values  of /(O  when  q(a,  t)  =  f(t)s(a). 


626 


MENDELSSOHN:  ESTIMATING  POPULATION  SIZES 


While  the  parameterization  H{t)  =  {f{t)s{a)} 
greatly  reduces  the  number  of  parameters,  I  still 
face  the  same  problem  as  when  I  treated  the  un- 
observed population  as  parameters:  each  new  period 
adds  another  parameter  to  the  model.  The  model 
still  appears  to  be  overparameterized,  and  the 
asymptotic  theory  for  maximum  likelihood  estima- 
tion may  be  invalid. 

As  with  the  recruitment  estimates,  the  number 
of  effective  parameters  can  be  reduced  by  adding 
a  smoothness  prior  on/(0-  However, /(^  is  a  pro- 
portion and  not  likely  to  be  a  normal  variable.  The 
f{t)  are  also  constrained  to  lie  in  the  interval  (0, 1), 
so  a  transformation  to  an  unconstrained  variable 
would  also  be  desirable.  If/(0  is  a  binomial  random 
variable  then  arcsin  {\Jf{t ))  is  approximately  normal 
with  nearly  equal  variance.  This  suggests  the  trans- 
formation of  variables 


y{a,t)  =  s{a)sin'^{eit))x{a,t). 


(37) 


fit)  =  sinHeit)) 


(35) 


where  eit)  is  an  unconstrained  normal  variable. 
Then  the  smoothness  prior  becomes 


Vh{t)  =  w(t) 


(36) 


(a  smoothness  prior  that  includes  a  seasonal  com- 
ponent or  irregular  stationary  part,  as  in  Equation 
(30),  can  also  be  used),  and  for  any  age  class,  the 
observation  equation  becomes 


The  underlying  population  dynamics  must  also  be 
expanded  to  include  the  smoothness  prior  constraint 
(Equation  (36)). 

Unfortunately,  the  observation  equation  is  no 
longer  linear  in  the  state  vector.  The  smoothness 
prior  is  a  prior  distribution  on  the  f{t),  and  a  full 
Bayesian  analysis  can  be  done  to  obtain  the  overall 
distribution.  The  variance  o{w(t)  is  then  treated  as 
a  hyperparameter  in  the  analysis. 

A  simpler  approach  is  to  evaluate  the  filter  equa- 
tions approximately  by  using  any  one  of  a  number 
of  nonlinear  filters  (see  Anderson  and  Moore  1979). 
One  that  is  easy  to  implement,  given  the  nonlinear- 
ities  in  this  problem,  is  the  extended  Kalman  filter 
(EKF),  which  at  each  time  period  just  linearizes  all 
the  nonlinear  terms  around  the  value  of  the  pre- 
dicted state  vector.  The  EKF,  however,  can  have 
divergence  problems  and  is  not  guaranteed  to  find 
the  true  penalized  likelihood  estimates. 

When  using  the  EKF,  it  works  to  make  a  forward 
and  backward  pass  of  the  filter  given  the  current 
estimates  of  f{t)  and  x{t\T),  and  then  to  estimate 
s{a)  and  R  as  before.  I  tested  the  algorithm  on  the 
mackerel  data  with  k  =  1  in  the  constraint  (Equa- 
tion (36)).  The  resulting  estimates  (Fig.  5)  are  similar 
to  the  previous  estimates,  but  the  estimated  values 
of /(O  (Fig.  6)  are  less  variable  with  a  stronger  trend 
than  before.  It  is  clear  from  Figure  5  that  the 


400000 


00 

§    300000 

u 

w 

O 

a:     200000 

w 

CO 


H     100000 

W 


0 


SMOOTHED 

FILTERED 

PREDICTED 


1930 


1940 


1950 


1960 


1970 


TIME 

Figure  5.— Estimated  number  of  recruits  using  a  first  order  spline  for  estimating /{<). 


627 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


X 

u 

< 
U 

O 

a; 
u 
z 
o 

:s 
o 

u 

IX, 
H 
W 


.5   r- 


1.0 


0.5 


0.0 


1930 


1940 


1950 


1960 


1970 


TIME 

Figure  6.— Spline  estimates  of  f{t.). 


smoothness  prior  estimate  has  shifted  some  of  the 
variation  in  the  observed  data  to  variations  in  the 
underlying  population  dynamics  rather  than  varia- 
tions in/(^).  Further  research  needs  to  be  done  to 
see  which  of  these  estimates  is  the  most  "valid". 

The  EM  algorithm  in  general  can  be  sensitive  to 
the  initial  values  given  the  parameters  (see  Wu 
1983),  and  I  have  found  that  the  fixed  value  of  1  can 
also  affect  the  estimates.  Initial  combinations  of  p<, 
f{t),  and  s{a)  that  are  totally  inconsistent  v^ith  the 
observed  catch  data  can  cause  the  algorithm  to  find 
a  local  maximum.  This  can  be  avoided  by  ex- 
perimenting with  several,  very  different  starting 
values  and  determining  if  they  converge  to  the  same 
estimates. 

If  recruitment  is  thought  to  be  a  linear  function 
of  the  previous  population  size,  then  there  is  no 
problem  including  this  in  the  Kalman  filter.  If 
recruitment  is  a  nonlinear  function  of  the  previous 
population,  then  the  EKF  can  again  be  used  to  ap- 
proximately determine  the  conditional  expectations 
needed  for  the  EM  algorithm. 

If  information  is  available  from  a  variety  of 
sources,  say  from  fishing  and  from  surveys,  as  in 
Methot  (fn.  2),  then  each  of  the  vectors  and  matrices 
can  be  partitioned  to  represent  this  situation.  For 
example,  let  y^it)  be  the  observed  catches  from  a 
survey  and  yf{t)  the  observed  catches  from  fishing. 
Let  y{ty  =  {y sit), y fit))',  and  partition  the  H  matrix 
similarly.  Then  the  diagonal  blocks  of  H  will  con- 


tain the  observation  dynamics  for  the  survey  and 
for  fishing,  while  the  off-diagonal  blocks  will  be  zero. 
Given  these  modifications,  all  the  algorithms  de- 
scribed previously  in  this  paper  can  be  used  to  derive 
estimates  for  this  situation. 

Research  or  other  surveys  of  the  fishery  usually 
occur  less  frequently  than  does  commercial  fishing, 
causing  part  of  the  vector  y{t)  to  be  missing  at  given 
times  periods.  Shumway  and  Stoffer  (1982a)  and 
Shumway  (1988)  gave  a  straightforward  modifica- 
tion of  the  Kalman  filter  for  this  case. 

DISCUSSION 

I  have  introduced  a  new  method  for  estimating 
population  sizes  from  catch-at-age  data  that  in- 
cludes, if  additive  errors  can  be  assumed,  many  of 
the  previous  difference  equation  models.  I  show  that 
it  is  incorrect  to  treat  the  unobserved  population 
sizes  as  parameters  to  be  estimated  rather  than  as 
missing  data.  I  also  show  that  the  minimum  mean 
square  estimates  of  the  population  sizes  are  the 
smoothed  estimates  rather  than  the  predicted 
estimates  suggested  in  many  papers.  The  model 
assumes  neither  equal  variances  in  the  errors  in  the 
population  dynamics  nor  in  the  observation  errors 
and  does  not  require  that  the  errors  be  uncorrected. 
For  Pacific  mackerel,  the  smoothed  estimates  are 
shown  to  be  much  more  variable  than  the  predicted 
estimates. 


628 


MENDELSSOHN:  ESTIMATING  POPULATION  SIZES 


I  also  suggest  a  new  parameterization  for  the  age- 
specific  exploitation  rate  q{a,t).  If  it  is  assumed  that 
q{a,t)  =  s{a)f{t),  then  the  model  is  over  determined. 
I  put  a  smoothness  prior  on  f(t)  in  order  to  obtain 
a  tradeoff  between  the  degree  of  smoothness  mf{t) 
as  a  function  of  time  versus  fidelity  to  the  data.  The 
degree  of  differencing  can  be  treated  as  a  hyper- 
parameter  of  the  model  to  determine  the  optimal 
amount  of  differencing  given  the  data. 

An  advantage  of  the  approach  of  this  paper  is  that 
the  calculations  are  straightforward  and  simple  to 
program,  and  explicit  formulas  are  given  for  the  op- 
timal parameter  values  at  each  iteration  of  the  EM 
algorithm.  Additional  optimization  software  is  not 
required  to  perform  the  calculations.  Moreover, 
properties  of  the  Kalman  filter  and  the  EM  algo- 
rithm are  well  known.  There  is  a  large  literature  giv- 
ing variants  of  the  filter  to  calculate  sensitivity  to 
model  misspecification,  and  recursive  formulas  for 
the  derivatives  with  respect  to  a  given  parameter 
of  the  model  also  exist  in  the  literature. 

It  is  also  simple  to  include  environmental  variables 
into  the  formulation,  either  as  additional  state  vari- 
ables or  as  fixed  effects  in  the  observation  equation 
or  both  (see  Sallas  and  Harville  [1988]  on  how  to 
estimate  the  fixed  effect  parameters  within  the  con- 
text of  Kalman  filtering).  Thus  the  influence  of  the 
environment  can  be  modeled  directly,  rather  than 
resorting  to  the  conventional  practice  of  obtaining 
population  estimates  first  and  correlating  these 
estimates  with  the  environmental  variables  second. 

A  disadvantage  of  my  approach  is  that  there  is 
no  guarantee  that  any  of  the  estimates  of  the  under- 
lying population  sizes  will  be  positive.  The  popula- 
tion sizes  are  treated  as  normal  random  variables, 
and  it  is  quite  possible  for  the  additive  corrections 
in  the  filtered  or  smoothed  estimates  to  make  small 
population  sizes  negative  if  the  observation  error  is 
large.  P.  Sullivan  (fn.  3)  has  found  that  for  a  length- 
based  model  the  Kalman  filtering  approach  works 
best  when  there  are  pulses  in  the  recruitment,  that 
is,  when  the  population  is  not  in  equilibrium.  The 
likelihood  surface  is  such  that  without  recruitment 
pulses  it  is  difficult  to  estimate  the  parameters  of 
the  growth-curve.  Most  fisheries  are  not  in  equilib- 
rium, however.  As  the  models  in  this  paper  do  not 
contain  a  growth-curve,  it  is  unclear  if  a  similar  find- 
ing will  be  valid. 

Some  of  my  results  suggest  that  the  estimates  are 
sensitive  to  the  form  of  the  model  chosen  for  the 
population  dynamics.  This  is  not  surprising,  because, 
unlike  most  missing  data  problems,  the  missing  part 
of  the  data  is  never  observed  directly,  but  only 


through  the  presumed  form  of  the  dynamics.  For 
example,  when  modeling  catch  (or  catch  per  unit  ef- 
fort) against  an  environmental  variable,  catch  data 
often  are  not  available  for  all  periods.  But  there  are 
at  least  some  periods  when  both  variables  are  ob- 
served, which  can  be  used  to  estimate  the  relation- 
ship between  the  two  sets  of  variables.  This  rela- 
tionship is  used  to  produce  the  smoothed  estimates 
of  the  missing  data.  For  estimating  population  sizes 
from  catch-at-age  data,  the  a  priori  estimate  of  the 
form  of  the  observation  equation  replaces  this  em- 
pirically derived  estimate. 

In  many  of  the  references  cited,  multiplicative 
errors  are  preferred  in  the  observation  equation 
because  variances  appear  to  change  with  the  size 
of  the  population.  My  experience  is  that  relaxing  the 
assumption  of  equal,  uncorrelated  errors  appears  to 
at  least  partially  take  into  account  the  observed 
differences.  If  the  model  estimates  are  not  satisfac- 
tory, assuming  additive,  gaussian  errors,  then  the 
regular  EM  algorithm  can  be  used  to  properly  esti- 
mate the  smoothed  estimates  of  the  underlying 
population.  However,  the  EM  algorithm  requires  the 
complete  data  likelihood  as  well  as  the  expectation 
of  the  log-likelihood  with  respect  to  {y{l), .  .  .,y(T)). 
In  multiplicative  models,  assumptions  about  the 
error  structure  can  lead  to  very  complicated  multi- 
variate distributions  for  the  complete  data  due  to 
the  Jacobian  of  the  transformation.  The  conditional 
expectation  of  the  log-likelihood  may  have  to  be 
evaluated  by  numerically  integrating  a  nontrivial 
multiple  integral.  Certainly,  as  a  first  pass,  the 
simpler  techniques  of  this  paper  would  appear  to 
have  a  lot  to  offer  as  an  alternative. 

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1979.    Optimal  filtering.    Prentice  Hall,  Englewood  Cliffs, 
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Brillinger,  D.  R.,  J.  Guckenheimer,  p.  Guttorp,  and  G. 

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Brotherton,  T.,  and  W.  Gersch. 

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Collie,  J.  S.,  and  M.  P.  Sissenwine. 

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Dempster,  A.  P.,  N.  M.  Laird,  and  D.  B.  Rubin. 

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DOUBLEDAY,  W.  G. 

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FOURNIER,  D.  A.,  AND  C.  ARCHIBALD. 

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Jazwinski,  a.  H. 

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1985.  A  smoothness  priors  time  varying  AR  coefficient 
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1988.  Smoothness  priors  in  time  series,  /w  J.  Spall  (editor), 
Bayesian  analysis  of  time  series  and  dynamic  models,  p. 
431-476.    Marcel  Dekker,  N.Y. 

Kohn,  R.,  and  C.  F.  Ansley. 

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1988.  The  equivalence  between  Bayesian  smoothness  priors 
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1983.  On  jointly  estimating  parameters  and  missing  data  by 
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Press,  Cambridge,  MA,  529  p. 

Mendelssohn,  R.,  and  J.  Mendo. 

1987.  Exploratory  analysis  of  anchoveta  recruitment  off  Peru 
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630 


INTEGRITY  OF  SCHOOLS  OF  SKIPJACK  TUNA, 

KATSUWONUS  PELAMIS,  IN  THE  EASTERN  PACIFIC  OCEAN, 

AS  DETERMINED  FROM  TAGGING  DATA 


William  H.  Bayliff' 


ABSTRACT 


Little  information  concerning  the  integrity  of  schools  is  available  for  any  species  of  fish.  In  this  study 
the  integrity  of  schools  of  skipjack  tuna,  Katsuwonus  pelamis,  was  analyzed  with  data  for  returns  of 
tagged  fish  which  had  been  in  the  same  schools  when  originally  tagged.  Two  methods,  the  first  using 
Chi-square  contingency  tests  and  the  second  using  binomial  homogeneity  tests,  were  employed.  From 
the  results  obtained  with  the  first  method  it  appears  that  after  1  month  at  liberty  the  tagged  and  un- 
tagged fish  were  randomly  mixed  with  one  another  in  some  cases  and  after  3  to  5  months  at  liberty 
they  were  randomly  mixed  with  one  another  in  nearly  all  cases.  The  results  obtained  with  the  second 
method  indicate  somewhat  less  rapid  mixing  of  the  tagged  and  untagged  fish. 


Schooling  occurs  in  many  species  of  fish,  and  many 
studies  have  been  made  of  the  reasons  for  school- 
ing and  the  behavior  of  the  fish  in  the  schools  (e.g., 
Parr  1927;  Shaw  1970;  Pitcher  1986).  Almost 
nothing  has  been  written,  however,  about  the  integ- 
rity of  schools  over  extended  periods  of  time. 

Parr  (1927)  stated  that  "apparently  permanent" 
schools  are  formed  by  pelagic  fishes  such  as  mack- 
erel, sprat,  and  herring,  and  Sharp  (1978)  reported 
that,  "From  the  genetic  sample  data  for  the  east- 
ern Pacific  yellowfin  [{Thunnus  albacares)]  and  the 
Pacific-wide  skipjack  [{Katsuwonus  pelamis)]  there 
is  evidence  for  a  cohesiveness  of  related  fishes  in 
schools ....  What  is  observed  is  that  where  more 
than  one  very  rare  allele  (overall  expected  occur- 
rence <.01)  is  encountered  in  a  large  sample,  the 
individuals  exhibiting  the  rare  alleles  are  often  the 
same  length  or  within  1  cm  of  each  other.  This  is 
highly  unlikely  unless  they  are  related." 

On  the  other  hand,  Helfman  (1981)  reported  "ag- 
gregations [  of  freshwater  fish]  that  disbanded  dur- 
ing twilight,"  and  Moyle  and  Cech  (1982)  stated  that 
"most  schools  break  up  at  night."  Observers  on 
fishing  vessels  and  aircraft  have  reported  that  the 
schools  of  tunas  frequently  break  up  and  reform. 
Scott  and  Flittner  (1972),  for  example,  stated  that 
"the  relatively  large  nighttime  schools  [of  bluefin 
tuna,  Thunnus  thynnus,]  break  down  into  several 
smaller  foraging  schools  and  begin  their  search  for 


ilnter-American  Tropical  Tuna  Commission,  P.O.  Box  271,  La 
Jolla,  CA  92038. 


food ....  The  gradual  increase  in  school  size  during 
the  daylight  hours  may  be  due  to  regrouping  of  the 
smaller  schools  through  random  encounters."  Such 
observations  might  lead  to  the  conclusion  that  there 
is  considerable  mixing  of  fish  from  different  schools 
and  that  fish  of  the  same  species  and  same  approx- 
imate size  in  the  same  areas  would  mix  thoroughly 
with  one  another  within  a  period  of  a  few  days  or 
weeks. 

Anonymous  (1960)  stated  that  "Tag  returns  from 
individual  schools  [of  skipjack  tuna]  suggest  that, 
normally,  the  skipjack  in  Hawaiian  waters  remain 
within  a  school  for  one  month  or  less,  then  at  least 
some  of  the  school  break  off,  move  into  new  areas, 
and  regroup  with  other  fish  or  schools.  From  the 
releases  off  Hilo  and  Mexico,  however,  it  is  evident 
that  there  are  situations,  possibly  environmentally 
conditioned,  where  the  schools  remain  intact ...  for 
at  least  2  or  3  months."  Lester  et  al.  (1985)  studied 
the  occurrence  of  various  parasites  in  skipjack  tuna 
of  the  same  and  different  schools  and  concluded 
that  "school  half-life  is  likely  to  be  in  terms  of  at 
least  weeks  rather  than  days."  They  stated,  how- 
ever, that  their  data  did  "not  support  the  hypothesis 
[of  Sharp  (1978)]  that  fish  stay  in  the  same  school 
for  life." 

Examination  of  data  for  fish  tagged  and  released 
at  the  same  location  and  time  shows  that  some  have 
been  recaptured  weeks  or  months  later  in  the  same 
purse  seine  set  or  baitboat  stop,  and  others  have 
been  recaptured  weeks  or  months  later  on  the  same 
date  in  widely  separated  locations  (Hunter  et  al. 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN:  VOL.  86.  NO.  4,  1988. 


631 


FISHERY  BULLETIN:  VOL.  8(i.  NO.  4 


1986).  (Henceforth  in  this  report,  to  save  space,  both 
sets  and  stops  will  be  referred  to  as  sets.)  The  former 
results  might  be  due  merely  to  chance.  The  latter 
results  indicate  that  not  all  the  fish  remain  together 
at  all  times,  but  this  information  is  of  limited  value. 
A  much  more  powerful  method  of  analysis  is  needed. 
Turner  (1986)  employed  statistical  tests  to  show  that 
tagged  bluefin  tuna  caught  during  the  calendar  year 
after  release  had  mixed  considerably  with  the  un- 
tagged population,  but  knowledge  about  shorter 
term  mixing  is  necessary  for  short-lived  species, 
such  as  skipjack  tuna.  The  present  report  describes 
what  are  believed  to  be  new  and  useful  methods  of 
analysis  of  the  integrity  of  schools  of  fishes,  using 
data  for  tagged  skipjack  tuna  released  and  recap- 
tured in  the  eastern  Pacific  Ocean. 


MATERIALS  AND  METHODS 

The  methods  of  tagging  the  fish  are  described  by 
Bayliff  and  Holland  (1986). 

Tagged  fish,  or  tags  unaccompanied  by  the  fish 
to  which  they  were  attached,  are  recovered  and 
returned  by  fishermen,  unloaders,  and  cannery 
workers,  accompanied  by  information  which  is  used 
to  assign  them  to  specific  sets.  Additional  details 


regarding  this  aspect  of  the  study  are  discussed  later 
in  this  report. 

The  methods  of  collecting  and  processing  the  catch 
statistics  are  discussed  by  Shimada  and  Schaefer 

(1956)  and  Joseph  and  Calkins  (1969).  Hennemuth 

(1957)  and  Shingu  et  al.  (1974)  described  the 
methods  of  sampling  the  fish  and  the  calculations 
employed  to  determine  the  size  composition  of  tunas 
in  the  catches.  The  areas  shown  in  Hennemuth's 
figure  1  have  been  changed  several  times  since  that 
report  was  published,  however;  the  areas  used  cur- 
rently are  shown  by  Peterson  (1982:  fig.  30). 

ANALYSES  AND  RESULTS 

If  tagged  fish  released  at  the  same  location  on  the 
same  day  mix  thoroughly  with  the  population  of  un- 
tagged fish  in  the  same  area,  schools  of  fish  caught 
in  that  area  will  have  approximately  equal  ratios  of 
tagged  to  total  fish,  whereas  if  they  do  not  mix 
thoroughly  some  of  the  schools  will  have  much 
higher  ratios  than  the  others.  In  this  report  the 
numbers  of  tagged  fish  recaptured  in  sets  made  at 
various  intervals  after  release  are  compared  with 
the  numbers  of  tagged  fish  which  would  be  expected 
in  those  sets  if  the  tagged  fish  had  mixed  thoroughly 
with  the  rest  of  the  population  during  the  interval 


Table  1  .—Data  used  for  analysis  of  integrity  of  schools  of  skipjack  tuna.  The  ranges 
of  values  of  sets  and  average  weight  in  pounds  are  explained  in  the  text. 


Month 

Numbers 

Average 

Tagging 

of 

of 

weight 

cruise 

Dates  of  release 

recapture 

returns 

Sets 

in  pounds 

1042 

2,  3,  4,  17,  18, 

June 

439 

60-228 

5.86-6.84 

19,  23,  24  June 

July 

152 

174 

5.85 

1962 

August 

44 

333 

4.96 

1043 

5,  9,  20,  27,  28 

June 

130 

11-89 

6.10-6.27 

June;  1  July  1963 

July 

248 

265-282 

6.08-6.10 

August 

108 

385 

5.74 

September 

39 

388 

6.99 

October 

13 

247 

4.98 

1070 

12,  13,  14,  30 

June 

7 

118-129 

5.21-5.22 

June  1973 

July 

32 

144 

5.08 

August 

15 

120 

4.59 

September 

27 

45 

5.35 

October 

33 

205 

5.26 

November 

10 

229 

5.69 

1075 

26  June;  20, 

July 

13 

42-215 

5.56-6.12 

21  (two  releases) 

August 

55 

274 

6.83 

July  1975 

1079 

9,  10,  17,  18,  19 

June 

158 

232-297 

4.31-4.32 

June  1976 

July 

261 

386 

4.29 

August 

15 

47 

4.24 

September 

118 

542 

4.88 

October 

61 

546 

4.56 

November 

6 

262 

4.12 

632 


BAYLIFF:  INTEGRITY  OF  SKIPJACK  TUNA  SCHOOLS 


between  release  and  recapture.  A  description  of  how 
this  was  done  is  given  below.  The  data  used  in  the 
analyses  are  summarized  in  Table  1,  and  a  more 
detailed  summary  of  the  data  for  tagging  cruise 
1079,  which  will  be  discussed  in  more  detail  than  the 
other  cruises,  is  given  in  Table  2. 

First,  the  units  of  time  to  be  employed  were 
selected.  Tagged  skipjack  tuna  have  been  recaptured 
after  as  long  as  3  years  at  liberty,  but  the  great 
majority  of  recaptures  have  been  made  within  6 
months  after  release.  It  was  decided  to  examine  the 
data  by  monthly  intervals  because,  for  the  experi- 
ments with  sufficient  total  numbers  of  returns,  that 
would  produce  several  intervals  vdth  sufficient  num- 
bers of  returns  of  tagged  fish  for  each  interval.  Also, 
the  statistical  and  size-frequency  data  of  the  Inter- 
American  Tropical  Tuna  Commission  (lATTC)  are 
routinely  calculated  by  month  (and  quarter  and 


Table  2— Data  from  cruise  1079  used  for  analysis  of  integrity  of 
schools  of  skipjack  tuna. 


Numbers 

Average 

Date  of 

Month  of 

of 

weight 

release 

recapture 

returns 

Sets 

in  pounds 

9  June  1976 

June 

13 

297 

4.32 

July 

13 

386 

4.29 

August 

1 

47 

4.24 

September 

5 

542 

4.88 

October 

3 

546 

4.56 

November 

0 

262 

4.12 

10  June  1976 

June 

26 

294 

4.32 

July 

17 

386 

4.29 

August 

0 

47 

4.24 

September 

8 

542 

4.88 

October 

5 

546 

4.56 

November 

1 

262 

4.12 

17  June  1976 

June 

80 

252 

4.32 

July 

120 

386 

4.29 

August 

9 

47 

4.24 

September 

48 

542 

4.88 

October 

31 

546 

4.56 

November 

1 

262 

4.12 

18  June  1976 

June 

33 

240 

4.32 

July 

88 

386 

4.29 

August 

4 

47 

4.24 

September 

43 

542 

4.88 

October 

18 

546 

4.56 

November 

2 

262 

4.12 

19  June  1976 

June 

6 

232 

4.31 

July 

23 

386 

4.29 

August 

1 

47 

4.24 

September 

14 

542 

4.88 

October 

4 

546 

4.56 

November 

2 

262 

4.12 

Total 

June 

158 

297 

4.32 

July 

261 

386 

4.29 

August 

15 

47 

4.24 

September 

118 

542 

4.88 

October 

61 

546 

4.56 

November 

6 

262 

4.12 

year),  so  no  special  calculations  are  required. 

Second,  the  areas  of  study  were  selected.  If  the 
tagged  fish  are  released  at  a  particular  location,  the 
vessels  fishing  near  that  location  would  catch  more 
tagged  fish,  at  least  during  the  first  few  months 
after  release,  than  would  vessels  fishing  several  hun- 
dred or  more  miles  away.  Thus  only  data  for  the 
vessels  fishing  near  the  location  of  release  should 
be  considered.  The  areas  of  study  were  selected  by 
examining  charts  of  the  distributions  of  fishing  ef- 
fort and  recaptures  of  tagged  fish,  by  1 -degree  areas 
and  by  months,  and  arbitrarily  excluding  those  with 
lower  recaptures  per  unit  of  fishing  effort.  This  was 
quite  simple,  as  during  the  periods  in  question  prac- 
tically no  tagged  fish  were  recaptured  south  of  lat. 
20°N,  and  there  was  little  fishing  effort  north  of  lat. 
20 °N  outside  the  area- time  strata  selected.  The 
areas  of  study  for  the  data  for  tagging  cruise  1079 
are  shown  in  Figure  1. 

Third,  a  list  of  sets  for  each  area-time  stratum  was 
prepared.  This  included  the  weights  of  skipjack  tuna 
caught  (Table  3,  column  2)  and  the  numbers  of 
tagged  fish  returned  (Table  3,  column  4).  (Through- 
out this  report  the  weights  are  expressed  in  short 
tons  [0.907  metric  tons]  and  pounds  [0.454  kg].  The 
lATTC  uses  this  system  because  the  fishermen 
estimate  the  weights  of  the  fish  caught  in  individual 
sets  in  short  tons,  and  these  estimates  are  an  im- 
portant component  of  its  data  base.)  In  a  few  cases 
the  catches  were  recorded  only  as  weights  of  mixed 
skipjack  tuna  and  some  other  species,  and  in  those 
cases  the  weights  were  divided  by  2,  assuming  that 
they  consisted  of  equal  weights  of  skipjack  tuna  and 
the  other  species.  (The  rest  of  this  table  will  be  dis- 
cussed later.) 

It  can  be  seen  in  Table  1  that  ranges  instead  of 
individual  values  are  given  for  "Sets"  for  cases  when 
the  month  of  recapture  is  the  same  as  the  month 
of  release.  This  is  because  sets  made  before  the  date 
of  release  were  not  considered  for  the  analyses,  and 
it  was  also  decided  not  to  use  data  for  tagged  fish 
recaptured  on  the  date  of  release  because  these 
could  not  have  mixed  with  the  rest  of  the  fish  in  the 
area  to  any  appreciable  extent.  Therefore  for  cmise 
1079,  for  example,  there  were  297  June  sets  after 
9  June,  294  after  10  June,  252  after  17  June,  240 
after  18  June,  and  232  after  19  June  (Table  2). 

Fourth,  an  average  weight  for  each  month  of  re- 
capture for  each  experiment  was  selected.  Monthly 
average  weight  data  for  purse  seine-  and  baitboat- 
caught  fish  from  area  1  in  Peterson  (1982:  fig.  30) 
were  used  for  this  purpose  because  they  closely  cor- 
respond to  the  strata  selected  for  study.  The  aver- 


633 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


120'W       115  110'^  lOS'^  120°W      115"  110>^  105°   12a'W      115"  110"  105" 


30P 


25° 


20^ 


Th 

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JULY 

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[S 

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TV                   AUGUST 

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OCTOBER 

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Figure  L— Locations  of  release  (X's)  and  areas  of  recapture  selected  for  tagging  cruise  1079  (areas  delineated  by 

heavy  lines). 


age  weights  were  estimated  by 


w^  = 


5!  w, 


ii  =  l 


ijPS 


X  w 


'JPS 


+ 


J.W, 


1  =  1 


jBB    ><    '^jBB 


1=1  i=l 


1,  2)  because  only  the  sets  after  the  dates  of  release 
are  considered,  and  the  portions  of  the  total  catches 
which  are  from  purse  seines  and  baitboats  differ  in 
accordance  with  the  dates  considered. 

The  data  were  analyzed  by  1)  Chi-square  con- 
tingency tests  and  2)  the  binomial  homogeneity  test 
described  by  Kendall  and  Stuart  (1961:578-579). 


where  Wj  =  average  weight  of  skipjack 

tuna  in  stratum  j, 
Wijps  and  W^jp^  =  weights    of    skipjack    tuna 
caught  in  purse  seine  set  i 
and  baitboat  set  i,  respec- 
tively, made  in  stratum  j, 
n  =  number  of  purse  seine  or 
baitboat  sets  in  stratum  j, 
and 
Wjps  and  Wj^b  =  average  weights  of  skipjack 
tuna  caught  in  stratum  j  by 
purse  seiners  and  baitboats, 
respectively. 

These  are  listed  in  Tables  1  and  2. 

The  average  weights  usually  differ  within  strata 
which  correspond  to  the  months  of  release  (Tables 


Chi-Square  Contingency  Tests 

A  computer  program,  SCHOOL,  was  written  to 
analyze  the  data.  For  a  given  release  date  and  month 
of  recapture,  this  program  estimates  the  number  of 
fish  caught  in  each  set  from  the  weight  of  fish  caught 
and  the  average  weight  of  the  fish.  It  then  sums  the 
estimates  of  the  numbers  of  fish  caught  and  num- 
bers of  tagged  fish  returned  for  all  sets  and  calcu- 
lates the  tagged  to  total  ratio.  This  ratio  is  then  used 
with  the  equation  for  the  binomial  distribution  to 
estimate  the  probabilities  of  0,  1,  2,  3, . .  .tagged  fish 
appearing  in  each  set  if  the  fish  are  randomly  mixed. 
The  sums  of  the  probabilities  for  all  the  sets  for  0, 
1,  2,  3, . . .  tagged  fish  are  then  calculated  so  that 
these  can  be  compared  with  the  observed  data,  as 
described  in  the  next  paragraph.  A  sample  output 


634 


BAYLIFF:  INTEGRITY  OF  SKIPJACK  TUNA  SCHOOLS 


from  this  program  is  shown  in  Table  3.  It  can  be  seen 
that  the  sum  of  39.40  +  6.41  +  1.00  +  0.16  +  0.02 
(last  line)  is  equal  to  47,  the  number  of  sets,  and  that 
the  sum  of  (39.40  x  0)  +  (6.41  x  1)  +  (1.00  x  2) 
+  (0.16  X  3)  is  equal  to  9,  the  number  of  tagged  fish 
returned.  (The  numbers  of  tagged  fish  returned  for 
each  set  had  been  entered  in  Table  3,  column  4,  as 
explained  above.  If  the  total,  9,  had  been  entered 
for  the  first  set,  or  any  other  set,  however,  the  result 


in  the  bottom  line  would  have  been  the  same.) 

The  bottom  lines  from  all  the  outputs  from 
SCHOOL  for  tagging  cruise  1079  are  listed  in  the 
"exp."  (expected)  lines  of  Table  4.  Just  below  these 
are  listed  the  observed  ("obs.")  numbers  of  sets  with 
0, 1,  2,  3, . .  .  tagged  fish.  At  the  bottom  of  each  sec- 
tion of  this  table  the  sums  of  the  expected  and  ob- 
served values  are  listed.  Chi-square  tests  were  run, 
using  MINITAB  (Ryan  et  al.  1985),  on  the  expected 


Table  3  —Probabilities  of  0,  1,  2,  3,  10  tagged  fish  in  sets  made  in  August  in  the  area  shown  in  Figure  1  from  fish  released  on  17 
June  1976.  This  table  is  similar  to  the  output  from  program  SCHOOL  except  that  (1)  normally  the  lines  for  the  individual  sets  are  not 
printed  and  (2)  the  output  does  not  include  the  numbers  of  fish. 


Tons 

Fish 

Tag 

IS 

Set 

P(0) 

P(1) 

P(2) 

P(3) 

P(4) 

P(5) 

P(6) 

P(7) 

P(8) 

P(9) 

P(10) 

Total 

1 

12.0 

5,660 

0 

0.6921 

0.2546 

0.0468 

0.0057 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

2 

15.5 

7,311 

1 

0.6217 

0.2954 

0.0702 

0.0111 

0.0013 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

3 

15.0 

7,075 

0 

0.6313 

0.2903 

0.0667 

0.0102 

0.0012 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

4 

5.0 

2,358 

0 

0.8578 

0.1314 

0.0101 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

5 

3.0 

1,415 

0 

0.9121 

0.0838 

0.0038 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

6 

1.0 

472 

1 

0.9698 

0.0296 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

7 

2.0 

943 

0 

0.9405 

0.0575 

0.0018 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

8 

1.0 

472 

0 

0.9698 

0.0296 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

9 

25.0 

1 1 ,792 

0 

0.4646 

0.3561 

0.1365 

0.0349 

0.0067 

0.0010 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

10 

25.0 

11,792 

0 

0.4646 

0.3561 

0.1365 

0.0349 

0.0067 

0.0010 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

11 

1.0 

472 

0 

0.9698 

0.0296 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

12 

1.0 

472 

3 

0.9698 

0.0296 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

13 

1.0 

472 

0 

0.9698 

0.0296 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

14 

2.0 

943 

0 

0.9405 

0.0575 

0.0018 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

15 

5.0 

2,358 

0 

0.8578 

0.1314 

0.0101 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

16 

5.0 

2,358 

0 

0.8578 

0.1314 

0.0101 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

17 

9.0 

4,245 

0 

0.7588 

0.2093 

0.0289 

0.0027 

0.0002 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

18 

5.0 

2,358 

0 

0.8578 

0.1314 

0.0101 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

19 

5.0 

2,358 

0 

0.8578 

0.1314 

0.0101 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

20 

22.0 

10,377 

1 

0.5093 

0.3436 

0.1159 

0.0260 

0.0044 

0.0006 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

21 

2.0 

943 

0 

0.9405 

0.0575 

0.0018 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

22 

1.5 

708 

0 

0.9550 

0.0438 

0.0010 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

23 

2.5 

1,179 

0 

0.9262 

0.0709 

0.0027 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

24 

2.0 

943 

0 

0.9405 

0.0575 

0.0018 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

25 

8.0 

3,774 

0 

0.7824 

0.1919 

0.0235 

0.0019 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

26 

10.0 

4,717 

0 

0.7359 

0.2256 

0.0346 

0.0035 

0.0003 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

27 

13.0 

6,132 

0 

0.6712 

0.2675 

0.0533 

0.0071 

0.0007 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

28 

4.5 

2,123 

0 

0.8711 

0.1201 

0.0083 

0.0004 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

29 

6.0 

2,830 

0 

0.8319 

0.1530 

0.0141 

0.0009 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

30 

4.0 

1,887 

0 

0.8846 

0.1084 

0.0066 

0.0003 

0.0000 

0.0000 

0,0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

31 

3.0 

1,415 

0 

0.9121 

0.0838 

0.0038 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

32 

6.5 

3,066 

0 

0.8193 

0.1632 

0.0162 

0.0011 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

33 

7.0 

3,302 

0 

0.8068 

0.1731 

0.0186 

0.0013 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

34 

10.0 

4,717 

0 

0.7359 

0.2256 

0.0346 

0.0035 

0.0003 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

35 

4.0 

1,887 

0 

0.8846 

0.1084 

0.0066 

0.0003 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

36 

1.5 

708 

1 

0.9550 

0.0438 

0.0010 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

37 

1.5 

708 

0 

0.9550 

0.0438 

0.0010 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

38 

4.0 

1,887 

0 

0.8846 

0.1084 

0.0066 

0.0003 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

39 

4.0 

1,887 

0 

0.8846 

0.1084 

0.0066 

0.0003 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

40 

10.0 

4,717 

0 

0.7359 

0.2256 

0.0346 

0.0035 

0.0003 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

41 

8.0 

3,774 

0 

0.7824 

0.1919 

0.0235 

0.0019 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

42 

5.0 

2,358 

0 

0.8578 

0.1314 

0.0101 

0.0005 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

43 

2.5 

1,179 

0 

0.9262 

0.0709 

0.0027 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

44 

2.5 

1,179 

0 

0.9262 

0.0709 

0.0027 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

45 

7.5 

3,538 

2 

0.7945 

0.1827 

0.0210 

0.0016 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

46 

2.0 

943 

0 

0.9405 

0.0575 

0.0018 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9998 

47 

0.5 

236 

0 

0.9848 

0.0150 

0.0001 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.0000 

0.9999 

Total 

293.5 

138,443 

9 

39.40 

6.41 

1.00 

0.16 

0.02 

0.00 

0.00 

0.00 

0.00 

0.00 

0.00 

46.99 

635 


FISHERY  HI'LLKTIN:  VOL.  86,  NO.  4 

Table  4.— Data  for  analysis,  by  Chi-square  contingency  tests,  of  the  integrity  of  schools  of  skipjack  tuna  released  during  tagging  cruise 

1079.    [exp.  =  expected;  obs.  =  observed.] 


Date  of 
release 

Month  of 
recapture 

Tags 

Occurrences  of  tagged  fish 

1 

value 

df 

Proba- 
bility 

0 

1 

2 

3 

4 

5 

>5 

Total 

9  June 
1976 

June 

13 
13 

exp. 
obs. 

284.87 
285 

11.38 
11 

0.63 

1 

0.09 

0.02 

297.00 
297 

0.001 

1 

>0.05 

10  June 
1976 

26 

26 

exp. 
obs. 

271.06 
281 

20.61 
8 

1.81 
2 

0.32 
1 

0.11 

0.04 

1 

0.01 

1 

294.00 
294 

4.672 

1 

<0.05 

17  June 
1976 

80 
80 

exp. 
obs. 

194.53 
218 

44.10 
20 

9.32 
6 

2.23 
4 

0.68 

0.31 

0.76 
4 

252.00 
252 

16.032 

2 

<0.01 

18  June 
1976 

33 
33 

exp. 
obs. 

212.49 
220 

23.70 
13 

2.82 
3 

0.56 
2 

0.22 
2 

0.11 

008 

240.00 
240 

2316 

1 

>0.05 

19  June 
1976 

6 
6 

exp. 
obs. 

226.26 
226 

5.50 
6 

0.21 

0.02 

232.00 
232 

0.012 

1 

>0.05 

Total 

158 
158 

exp. 
obs. 

1,189.21 
1,230 

105.29 
58 

14.79 
12 

3.22 

7 

1.03 
2 

0.46 

1 

0.85 
5 

1,315.00 
1,315 

38.280 

3 

<0.01 

9  June 
1976 

July 

13 
13 

exp. 
obs. 

373.43 
375 

12.14 
9 

0.40 
2 

0.01 

386.00 
386 

0.203 

1 

>0.05 

10  June 
1976 

17 
17 

exp. 
obs. 

369.73 
373 

15.56 
10 

0.66 
2 

0.03 
1 

386.00 
386 

0.686 

1 

>0.05 

17  June 
1976 

120 
120 

exp. 
obs. 

294.44 
339 

70.30 
20 

15.83 
8 

3.93 
8 

1.05 

5 

0.28 

4 

0.09 
2 

386.00 
386 

80.519 

3 

<0.01 

18  June 
1976 

88 
88 

exp. 
obs. 

314.41 
342 

58.43 
22 

10.48 
9 

2.08 
8 

0.43 
2 

0.09 
2 

0.02 

1 

386.00 
386 

31.073 

2 

<0.01 

19  June 
1976 

23 
23 

exp. 
obs. 

364.32 
368 

20.43 
14 

1.16 
3 

0.07 

1 

386.00 
386 

0.662 

1 

>0.05 

Total 

261 
261 

exp. 
obs. 

1,716.33 
1,797 

176.86 
75 

28.53 
24 

6.12 
18 

1.48 

7 

0.37 
6 

0.11 
3 

1,930.00 
1,930 

141.566 

3 

<0.01 

9  June 
1976 

August 

1 
1 

exp. 
obs. 

46.02 
46 

0.96 
1 

0.02 

47.00 
47 

10  June 
1976 

0 
0 

exp. 
obs. 

47.00 
47 

47.00 

47 

17June 
1976 

9 
9 

exp. 
obs. 

39.40 
41 

6.41 
4 

1.00 

1 

0.16 
1 

0.02 

47.00 
47 

0.402 

1 

>0.05 

18  June 
1976 

4 
4 

exp. 
obs. 

43.30 
44 

3.42 
2 

0.26 

1 

0.02 

47.00 
47 

19  June 
1976 

1 
1 

exp. 
obs. 

46.02 
46 

0.96 

1 

0.02 

47.00 
47 

Total 

15 
15 

exp. 
exp. 

221.74 
224 

11.75 
8 

1.30 
2 

0.18 
1 

0.02 

235.00 
235 

0.408 

1 

>0.05 

and  observed  values,  and  the  results  are  shown  in 
the  last  four  columns  of  Table  4.  The  categories  were 
combined  so  that  none  had  an  expected  value  of  less 
than  5.  For  the  first  test  in  Table  4  (releases  on  9 
June  1976,  and  recaptures  during  June),  for  exam- 
ple, the  expected  values  are  284.87  and  (11.38  -i- 
0.63  +  0.09  +  0.02  =  12.12)  and  the  observed  values 
are  285  and  (11  -i-  1  =  12).  When  only  one  category 
had  an  expected  value  of  5  or  greater  no  test  was 
run. 

The  two  total  lines  for  each  section  of  Table  4  are 
listed  in  Table  5,  with  the  equivalent  values  for  the 
other  four  experiments.  These  were  summed  for 
each  cruise  and  month  of  recapture,  and  Chi-square 
tests  were  run  with  these  sums.  Those  results  are 
shown  in  the  last  four  columns  of  Table  5. 


The  results  of  the  tests  are  summarized  as  follows: 


Months  of  recapture 


Category 

df 

6 

7 

8 

9 

10 

11 

releases  made  on 

1 

3/11 

2/17 

0/12 

0/10 

0/6 

individual  dates 

2 
3 
4 

1/1 
1/1 
2/2 

3/4 
2/2 

0/1 

totals  for  cruises 

1 

0/1 

0/2 

0/4 

0/2 

0/3 

0/2 

2 

1/1 

0/1 

1/1 

3 

1/2 

2/2 

4 

1/1 

overall  totals 

1 
2 
3 

4 

1/1 

1/1 

1/1 

1/1 

0/1 

0/1 

636 


HAYLIFF:  INTEGRITY  OF  SKIFMACK  TUNA  SCHOOLS 


Table  ^.—Continued. 


Date  of 
release 

Month  of 
recapture 

September 

Tags 

Occurrences  of  tagged  fish 

value 

df 

Proba- 
bility 

0 

1 

2 

3 

4     5 

>5    Total 

9  June 
1976 

5 
5 

exp 

obs 

537.05 

537 

4.90 

5 

0.05 

542.00 

542 

10  June 
1976 

8 
8 

exp 
obs 

534.12 
534 

7.75 
8 

0.12 

542.00 
542 

0.002 

1 

>0.05 

17  June 
1976 

48 
48 

exp 
obs 

498.05 
509 

40.23 
20 

3.35 
12 

0.30 

0.03 

1 

542.00 
542 

2.969 

1 

>0.05 

18  June 
1976 

43 
43 

exp 
obs 

502.28 
508 

36  68 
26 

2.77 

7 

0.22 

1 

0.02 

542.00 
542 

0.889 

1 

>0.05 

19  June 
1976 

14 
14 

exp 
obs 

528.37 
529 

13.26 
12 

0.35 

1 

0.01 

542.00 
542 

0.030 

1 

>0.05 

Total 

118 
118 

exp 
obs 

2,599.87 
2,617 

102.82 
71 

6.64 
20 

0.53 

1 

0.05 
1 

2,710.00 
2,710 

39.481 

2 

<0.01 

9  June 
1976 

October 

3 
3 

exp 
obs 

543.02 
544 

2.96 

1 

0.02 

1 

546.00 
546 

10  June 
1976 

5 
5 

exp 
obs 

541.06 
541 

4.88 
5 

0.06 

546.00 
546 

17  June 
1976 

31 
31 

exp 
obs 

517.04 
524 

27.07 
15 

1.74 
5 

0.13 
2 

0.01 

546.00 
546 

1.766 

1 

>0.05 

18  June 
1976 

18 
18 

exp 
obs 

528.71 
530 

16.60 
14 

0.65 
2 

0.03 

546.00 
546 

0.099 

1 

>0.05 

19  June 
1976 

4 

4 

exp 
obs 

542.04 
542 

3.93 
4 

0.04 

546.00 
546 

Total 

61 
61 

exp 
obs 

2,671.87 
2,681 

55.44 
39 

2.51 
8 

0.16 
2 

0.01 

2,730.00 
2,730 

1.465 

1 

>0.05 

9  June 
1976 

November 

0 
0 

exp 
obs 

262.00 
262 

262.00 
262 

10  June 
1976 

1 
1 

exp 
obs 

261.00 
261 

0.99 

1 

262.00 
262 

17  June 
1976 

1 
1 

exp 

obs 

261.00 
261 

0.99 

1 

262.00 
262 

18  June 
1976 

2 
2 

exp 
obs 

260,02 
260 

1.96 
2 

0.02 

262.00 
262 

19  June 
1976 

2 
2 

exp 
obs 

260.02 
260 

1.96 
2 

0.02 

262.00 
262 

Total 

6 
6 

exp 
obs 

1,304.04 
1,304 

5.90 
6 

0.04 

1,310.00 
1,310 

0.000 

1 

>0.05 

This  means  that  for  individual  dates  for  recaptures 
during  June  (i.e.,  during  the  month  of  release),  3  of 
11  tests  equivalent  to  those  in  Table  4  with  1  degree 
of  freedom  were  significant  at  the  5%  level;  for 
recaptures  during  July,  2  of  17  tests  equivalent  to 
those  in  Table  4  with  1  degree  of  freedom  were  sig- 
nificant; and  so  on.  From  these  tests  it  appears  that 
after  1  month  at  liberty  the  tagged  and  untagged 
fish  are  randomly  mixed  with  one  another  in  some 
cases,  and  after  3  to  5  months  at  liberty  they  are 
randomly  mixed  with  one  another  in  nearly  all  cases. 


r=  I 


(T,  -  F,Pf 
t=i  F,P  (1  -  P) 

where  T,  =  number  of  tagged  fish  in  set  z, 

Fj  =  number  of  tagged  and  untagged  fish  in 

set  i, 
n  =  number  of  sets,  and 
P  =  probability  of  a  fish  being  tagged  = 

«  n 

I  (T,)/I   (F,) 


i  =  l 


!  =  1 


Binomial  Homogeneity  Tests 

For  the  binomial  homogeneity  test  the  formula 


is  used.  Computer  program  SCHOOLA  was  used  for 
this  purpose. 
The  results  are  given  in  Table  6.  In  general,  the 


637 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


Table  5- 

-Data  for  analysis,  by  ( 

Dhi-square  contingency  tests,  of  the  integrity  of  schools 
=  expected;  obs.  =  observed.] 

of  skip 

ack  tuna  released  during  all  cruises 

[exp. 

Tagging 
cruise 

Month  of 
recapture 

Tags 

Occurrences  of  tagged  fish 

value 

df 

Proba- 
bility 

0 

1 

2 

3 

4 

5 

>5 

Total 

1042 

June 

439 
439 

exp. 
obs. 

971.84 
1,114 

193.13 
74 

53.10 
26 

19.75 
11 

8.53 
4 

3.89 

7 

4.76 
19 

1,255.00 
1,255 

121.553 

4 

<0.01 

1043 

130 
130 

exp. 
obs. 

203.70 
212 

39.03 
27 

11.32 
11 

4.42 
8 

2.08 
3 

1.16 
3 

4.29 
2 

266.00 
266 

5.428 

3 

>0.05 

1070 

7 
7 

exp. 
obs. 

345.25 
345 

6.51 

7 

0.23 

0.01 

352.00 
352 

0.009 

1 

>0.05 

1079 

158 
158 

exp. 
obs. 

1,189.21 
1,230 

105.29 
58 

14.79 
12 

3.22 

7 

1.03 
2 

0.46 

1 

0.85 
5 

1,315.00 
1,315 

38.280 

3 

<0.01 

Total 

734 
734 

exp. 
obs. 

2,710.00 
2,901 

343.96 
166 

79.44 
49 

27.40 
26 

11.64 
9 

5.51 

11 

9.90 
26 

3,188.00 
3,188 

149.523 

6 

<0.01 

1042 

July 

152 
152 

exp. 
obs. 

1,265.04 
1,307 

107.21 
55 

15.36 
22 

3.20 
4 

0.75 
0 

0.17 

1 

0.27 
3 

1,392.00 
1,392 

32.137 

2 

<0.01 

1043 

248 
248 

exp. 
obs. 

1,479.32 
1,536 

158.72 
96 

26.60 
18 

6.72 
12 

2.19 
6 

0.79 
2 

0.44 
5 

1,675.00 
1,675 

50.425 

3 

<0.01 

1070 

32 
32 

exp. 
obs. 

545.75 
546 

28.57 
28 

1.54 
2 

0.09 

576.00 
576 

0.002 

1 

>0.05 

1075 

13 
13 

exp. 
obs. 

338.04 
343 

11.01 
6 

0.84 

0.09 

1 

350.00 
350 

2.130 

1 

>0.05 

1079 

261 
261 

exp. 
obs. 

1,716.33 
1,797 

176.86 
75 

28.53 
24 

6.12 
18 

1.48 

7 

0.37 
6 

0.11 
3 

1,930.00 
1,930 

141.566 

3 

<0.01 

Total 

706 
706 

exp. 
obs. 

5,344.48 
5,529 

482.37 
260 

72.87 
66 

16.22 
34 

4.42 
13 

1.33 
9 

0.82 
12 

5.923.00 
5,923 

231.819 

4 

<0.01 

1042 

August 

44 
44 

exp. 
obs. 

2,613.04 
2,618 

41.88 
33 

0.98 

4 

0.03 
1 

2,656.00 
2,656 

0.582 

1 

>0.05 

1043 

108 
108 

exp. 
obs. 

2,211.08 
2,219 

90.80 
80 

7.13 

7 

0.78 
3 

0.10 

0.01 
1 

2,310.00 
2,310 

2.334 

2 

>0.05 

1070 

15 
15 

exp. 
obs. 

465.42 
465 

14.16 
15 

0.39 

480.00 
480 

0.012 

1 

>0.05 

1075 

55 
55 

exp. 
obs. 

1,044.57 
1,050 

48.13 
39 

2.92 

5 

0.26 
2 

0.03 

1,096.00 
1,096 

0.602 

1 

>0.05 

1079 

15 
15 

exp. 
obs. 

221.74 
224 

11.75 
8 

1.30 
2 

0.18 
1 

0.02 

235.00 
235 

0.408 

1 

>0.05 

Total 

237 
237 

exp. 
exp. 

6,555.85 
6,576 

206.72 
175 

12.72 
18 

1.25 

7 

0.15 

0.01 

1 

6,777.00 
6,777 

14.206 

2 

<0.01 

1043 

September 

39 
39 

exp. 
obs. 

2,290.28 
2,291 

36.42 
35 

1.18 
2 

0.05 

2,328.00 
2,328 

0.014 

1 

>0.05 

1070 

27 
27 

exp. 
obs. 

156.88 
160 

19.77 
14 

2.88 
5 

0.41 

1 

0.05 

180.00 
180 

0.483 

1 

>0.05 

1079 

118 
118 

exp. 
obs. 

2,599.87 
2,617 

102.82 
71 

6.64 
20 

0.53 

1 

0.05 
1 

2,710.00 
2,710 

39.481 

2 

<0.01 

Total 

184 
184 

exp. 
obs. 

5,047.03 
5,068 

159.01 
120 

10.70 
27 

0.99 
2 

0.10 
1 

5,218.00 
5,218 

36.868 

2 

<0.01 

1043 

October 

13 
13 

exp. 
obs. 

1,481.38 
1,482 

12.26 
11 

0.35 

1 

0.01 

1,494.00 
1,494 

0.031 

1 

>0.05 

1070 

33 
33 

exp. 
obs. 

788.27 
789 

30.49 
29 

1.17 
2 

0.04 

820.00 
820 

0.017 

1 

>0.05 

1079 

61 
61 

exp. 
obs. 

2,671.87 
2,681 

55.44 
39 

2.51 
8 

0.16 
2 

0.01 

2,730.00 
2,730 

1.465 

1 

>0.05 

Total 

107 
107 

exp. 
obs. 

4,941.52 
4,952 

98.19 
79 

4.03 
11 

0.21 
2 

0.01 

5,044.00 
5,044 

1.094 

1 

>0.05 

1070 

November 

10 
10 

exp. 
obs. 

906.14 
906 

9.69 
10 

0.14 

916.00 
916 

0.002 

1 

>0.05 

1079 

6 
6 

exp. 
obs. 

1,304.04 
1,304 

5.90 
6 

0.04 

1,310.00 
1,310 

0.000 

1 

>0.05 

Total 

16 
16 

exp. 
obs. 

2,210.18 
2,210 

15.59 
16 

0.18 

2,226.00 
2,226 

0.002 

1 

>0.05 

638 


BAYLIFF:  INTEGRITY  OF  SKIPJACK  TUNA  SCHOOLS 


X"/df  values  do  not  appear  to  decrease  consistent- 
ly with  time,  as  would  be  expected  if  the  fish  tend 
to  mix  gradually  with  time.  If,  however,  only  the 
values  corresponding  to  date  of  release-month  of 
recapture  strata  with  more  than  10  tag  returns  are 
considered  the  x"/df  values  tend  to  decrease  with 
time.  The  x~  values  corresponding  to  these  strata 
are  summed  at  the  bottoms  of  the  first  five  sections 
of  Table  6,  and  these  sums  are  divided  by  the  sums 
of  the  degrees  of  freedom  to  obtain  total  x"/df 
values.  It  can  be  seen  that  these  also  tend  to 
decrease  with  time.  In  addition,  the  x"  values  and 
degrees  of  freedom  for  the  strata  with  more  than 
10  tag  returns  for  all  the  experiments  are  summed 
in  the  last  section  of  Table  6;  the  x"/df  values  again 
tend  to  decrease  with  time.  It  thus  appears  that  the 
fish  were  gradually  mixing  as  time  passed. 

One  thousand  Monte  Carlo  simulations  were  run 
for  each  stratum  with  more  than  10  tags,  using  com- 
puter program  MONTCARL,  to  determine  the  prob- 
ability of  obtaining  an  equal  or  greater  value  of 
X-/df,  if  the  tagged  and  untagged  fish  were  ran- 
domly mixed  with  one  another.  The  results  are 
shown  in  the  last  column  of  Table  6.  In  most  cases 
these  indicated  that  the  tagged  and  untagged  fish 


were  not  randomly  mixed.  These  data  tend  to  in- 
dicate less  rapid  mixing  with  time  than  do  the  data 
for  the  Chi- square  contingency  tests. 

DISCUSSION 

There  is  a  fundamental  difference  between  the 
two  methods.  The  Chi-square  contingency  tests  test 
whether  the  tagged  fish  occurred  in  many  or  few 
of  the  schools,  whereas  the  binomial  tests  test 
whether  the  ratios  of  tagged  to  total  fish  are  con- 
sistent among  schools.  For  example,  if  there  was 
a  total  of  15  returns  of  tagged  fish  obtained  from 
15  different  sets  from  a  total  of  20  25-ton  sets  and 
20  1-ton  sets,  it  would  make  no  difference  for  the 
Chi-square  contingency  tests  which  sets  the  tagged 
fish  occurred  in.  For  the  binomial  homogeneity  tests, 
however,  the  x'/df  value  would  be  much  greater 
if  the  tagged  fish  occurred  in  15  of  the  20  1-ton 
sets  than  if  they  occurred  in  15  of  the  20  25-ton 
sets. 

The  Chi-square  contingency  tests  are  adversely 
affected  by  the  small  numbers  of  tag  returns,  which 
makes  them  rather  low  powered.  For  example,  for 
the  releases  of  19  June  1962,  and  28  June  1963, 


Table  6. — Results  of  binomial  homogeneity  tests  with  skipjack  tuna  tag  return 

data. 


Date  of 

Montfi  of 

Proba- 

Year    release 

recapture 

Sets 

Tags 

x' 

x'/df 

bility 

1962       2  June 

June 

228 

33 

714.44 

3.15 

<0.01 

July 

174 

15 

236.33 

1.37 

>0.05 

August 

333 

10 

1,467.22 

4.42 

3  June 

June 

223 

26 

880.38 

3.97 

<0.01 

July 

174 

18 

272.03 

1.57 

<0.05 

August 

333 

10 

304.10 

0.92 

4  June 

June 

212 

32 

4,395.24 

20.83 

<0.01 

July 

174 

15 

327.12 

1.89 

<0.05 

August 

333 

9 

666.62 

2.01 

17  June 

June 

162 

129 

7,862.99 

48.84 

<0.01 

July 

174 

6 

333.26 

1.93 

August 

333 

1 

81.91 

0.25 

18  June 

June 

152 

15 

435.92 

2.89 

<0.01 

July 

174 

2 

466.73 

2.70 

August 

333 

0 

— 

— 

19  June 

June 

141 

95 

543.94 

3.89 

<0.01 

July 

174 

28 

575.73 

3.33 

<0.01 

August 

333 

5 

236.97 

0.71 

23  June 

June 

77 

95 

392.78 

5.17 

<0.01 

July 

174 

40 

744.76 

4.30 

<0.01 

August 

333 

7 

533.24 

1.61 

24  June 

June 

60 

14 

99.18 

1.68 

<0.05 

July 

174 

28 

1,592.40 

9.20 

<0.01 

August 

333 

2 

299.98 

0.90 

Total 

June 

1,255 

439 

15,324.87 

12.29 

July 

1,044 

144 

3,748.37 

3.61 

639 


FISHERY  BULLETIN:  VOL.  86.  NO.  4 


Table  6.— Continued. 


Date  of 

Month  of 

Proba- 

Year    release 

recapture 

Sets 

Tags 

x' 

x'/df 

bility 

1963       5  June 

June 

89 

26 

141.07 

1.60 

>0.05 

July 

282 

25 

702.74 

2.50 

<0.01 

August 

385 

16 

1,250.94 

3.26 

<0.01 

September 

388 

6 

645.62 

1.67 

October 

249 

1 

2,110.73 

8.51 

9  June 

June 

89 

28 

293.56 

3.34 

<0.01 

July 

282 

50 

1,036.42 

3.69 

<0.01 

August 

385 

24 

514.06 

1.34 

>0.05 

September 

388 

6 

779.54 

2.01 

October 

249 

2 

314.69 

1.28 

20  June 

June 

53 

12 

56.66 

1.09 

>0.05 

July 

282 

15 

532.52 

1.90 

<0.05 

August 

385 

10 

681.99 

1.78 

September 

388 

6 

1,105.22 

2.86 

October 

249 

2 

192.00 

0.78 

27  June 

June 

24 

33 

197.47 

8.59 

<0.01 

July 

282 

101 

1,683.31 

5.99 

<0.01 

August 

385 

48 

1,019.23 

2.65 

<0.01 

September 

388 

19 

843,91 

2.18 

<0.01 

October 

249 

8 

258.17 

1.05 

28  June 

June 

11 

31 

401.40 

40.14 

<0.01 

July 

282 

43 

1,071.63 

3.81 

<0.01 

August 

385 

5 

85.27 

0.22 

September 

388 

1 

268.06 

0.69 

October 

249 

0 

— 

— 

1  July 

July 

265 

14 

1,272.38 

4.82 

<0.01 

August 

385 

5 

1,000.85 

2.61 

September 

388 

1 

447.33 

1.16 

October 

249 

0 

— 

— 

Total 

June 

266 

130 

1,090.16 

4.16 

July 

1,675 

248 

6,299.00 

3.77 

August 

1,155 

88 

2,784.23 

2.42 

September 

388 

19 

843.91 

2.18 

1973     12  June 

June 

129 

4 

125.55 

0.98 

July 

144 

9 

190.46 

1.33 

August 

120 

4 

90.50 

0.76 

September 

45 

5 

77.04 

1.75 

October 

205 

7 

289.43 

1.42 

November 

229 

1 

78.43 

0.34 

13  June 

June 

118 

3 

156.86 

1.34 

July 

144 

8 

118.45 

0.83 

August 

120 

4 

256.57 

2.16 

September 

45 

4 

24.50 

0.56 

October 

205 

13 

214.15 

1.05 

>0.05 

November 

229 

3 

116.14 

0.51 

14  June 

June 

105 

0 

— 

— 

July 

144 

6 

333.14 

2.33 

August 

120 

2 

78.99 

0.66 

September 

45 

8 

41.23 

0.94 

October 

205 

10 

387.81 

1.90 

November 

229 

5 

477.96 

2.10 

30  June 

July 

144 

9 

344.95 

2.41 

August 

120 

5 

50.35 

0.42 

September 

45 

10 

21.62 

0.49 

October 

205 

3 

324.07 

1.59 

November 

229 

1 

197.57 

0.87 

Total 


October 


205        13 


214.15       1.05 


640 


BAYLIFF:  INTEGRITY  OF  SKIPJACK  TUNA  SCHOOLS 


Table  6.— Continued. 


Date  of 

Month  of 

Proba- 

Year    release 

recapture 

Sets 

Tags 

x' 

x'/df 

bility 

1975     26  June 

July 

215 

5 

192.62 

0.90 

August 

274 

15 

536.17 

1.96 

<0.01 

20  July 

July 

51 

1 

13.23 

0.26 

August 

274 

8 

246.67 

0.90 

21  July 

July 

42 

7 

64.87 

1.58 

August 

274 

10 

1,255.33 

4.60 

21  July 

July 

42 

0 

— 

— 

August 

274 

22 

1,036.53 

3.80 

<0.01 

Total 

August 

548 

37 

1,572.70 

2.88 

1976       9  June 

June 

297 

13 

468.83 

1.58 

>0.05 

July 

386 

13 

874.92 

2.27 

<0.01 

August 

47 

1 

38.13 

0.83 

September 

542 

5 

628.52 

1.16 

October 

546 

3 

1,830.07 

3.36 

November 

262 

0 

— 

— 

10  June 

June 

294 

26 

664.08 

2.27 

<0.01 

July 

386 

17 

744.88 

1.93 

<0.01 

August 

47 

0 

— 

— 

September 

542 

8 

578.70 

1.07 

October 

546 

5 

354.91 

0.65 

November 

262 

1 

410,61 

1.57 

17  June 

June 

252 

80 

977.05 

3.89 

<0.01 

July 

386 

120 

1,283.42 

3.33 

<0.01 

August 

47 

9 

359.63 

7.82 

September 

542 

48 

1,448.02 

2.68 

<0.01 

October 

546 

31 

1,002.48 

1.84 

<0.01 

November 

262 

1 

153.34 

0.59 

18  June 

June 

240 

33 

1,749.76 

7.32 

<0.01 

July 

386 

88 

947.11 

2.46 

<0.01 

August 

47 

4 

399.34 

8.68 

September 

542 

43 

2,018.78 

3.73 

<0.01 

October 

546 

18 

704.02 

1.29 

>0.05 

November 

262 

2 

105.17 

0.40 

19  June 

June 

232 

6 

249.12 

1.08 

July 

386 

23 

611.28 

1.59 

<0.05 

August 

47 

1 

292.31 

6.35 

September 

542 

14 

594.33 

1.10 

>0.05 

October 

546 

4 

771.34 

1.42 

November 

262 

2 

242.38 

0.93 

Total 

June 

1,083 

152 

3,859.72 

3.58 

July 

1,930 

261 

4,461.61 

2.32 

September 

1,626 

105 

4,061.13 

2.50 

October 

1,092 

49 

1,706.50 

1.57 

all 

June 

2,604 

721 

20,274.75 

7.84 

July 

4,649 

653 

14,508.98 

3.13 

August 

1,703 

125 

4,356.93 

2.56 

September 

2,014 

124 

4,905.04 

2.44 

October 

1,297 

62 

1,920.65 

1.48 

there  were  sets  with  more  than  five  tagged  fish  in 
them,  and  yet  the  results  of  the  Chi-square  tests 
were  not  significant.  This  is  caused  by  the  require- 
ment that  each  category  have  an  expected  value  of 
5  or  greater.  Accordingly,  it  is  likely  that  if  there 
had  been  more  tag  returns,  there  would  have  been 
more  categories  for  many  of  the  tests  and  signifi- 
cant results  for  more  of  them.  The  practice  of  com- 
bining the  results  for  fish  of  the  same  experiment 


released  on  different  days  ("Total"  lines  in  Table 
4)  and  for  fish  of  different  experiments  ("Total" 
lines  of  Table  5)  helps  to  overcome  this  weakness. 
It  can  be  seen  in  the  text  table  above  that  the  ratios 
increased  with  the  degrees  of  freedom.  If  there  were 
more  tag  returns,  there  would  be  fewer  tests  with 
one  degree  of  freedom  and  more  with  three  or  more 
degrees  of  freedom,  and  the  ratios  of  significant 
tests  would  almost  certainly  increase. 


641 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


On  the  other  hand,  the  way  that  the  tag  return 
data  are  handled  causes  it  to  appear  that  there  were 
more  sets  with  more  than  one  tagged  fish  than  was 
actually  the  case.  Ideally,  all  tagged  fish  would  be 
recovered  by  fishermen  as  soon  as  they  are  caught, 
and  then  set  aside  for  later  examination  by  an 
lATTC  employee,  and  the  tag  numbers,  locations, 
and  dates  of  recapture  would  be  recorded  so  that 
each  fish  could  be  assigned  to  the  proper  set.  In 
reality,  however,  less  than  half  the  tagged  fish 
recaptured  ax^e  recovered  by  the  fishermen,  and 
since  the  fish  from  different  sets  are  mixed  in  the 
wells  of  the  vessels,  the  chance  of  assigning  tagged 
fish  to  specific  sets  is  lost,  except  when  enough  fish 
are  caught  in  one  set  to  fill  an  entire  well.  Virtually 
all  of  the  tagged  fish  which  are  not  recovered  by 
fishermen  are  recovered  later  by  unloaders  and  can- 
nery workers.  The  unloaders  and  cannery  workers 
usually  inform  the  lATTC  employee  to  whom  they 
return  the  tagged  fish  (or  the  tag  without  the  fish 
attached  to  it)  that  the  fish  was  found  in  or  had  come 
from  a  particular  well  or  pair  of  wells  of  a  particular 
boat.  The  lATTC  employee  who  receives  the  tagged 
fish  or  tag  records  this  information,  and  later 
another  lATTC  employee  compares  this  information 
with  an  abstract  of  the  vessel's  logbook  and  assigns 
the  fish  to  the  set  which  contributed  the  greatest 
weight  of  fish  of  the  species  in  question  to  that  well 
or  pair  of  wells.  For  example,  if  a  particular  well 
contained  fish  from  sets  with  12, 15,  20,  and  13  tons 
made  on  1,  2,  3,  and  4  June,  respectively,  and  each 
included  one  tagged  fish,  all  recovered  by  unloaders 
and  cannery  workers,  all  four  would  be  assigned  to 
the  3  June  set.  This  would  make  it  appear  that  the 
tagged  fish  tend  to  remain  together  more  than  is 
actually  the  case.  Another  way  to  handle  a  situation 
such  as  this  would  be  to  allocate  the  four  fish  among 
the  four  sets  in  proportion  to  the  weights  of  fish  in 
them,  in  this  case  one  to  each  set.  This  is  not  done, 
however,  because  tagged  fish  from  the  same  trip  of 
the  same  vessel  are  often  returned  to  the  lATTC 
over  a  considerable  period  of  time,  and  it  is  not  feas- 
ible to  keep  the  tags  for  long  periods  waiting  for  all 
of  them  to  be  returned  before  processing  them.  Fur- 
thermore, allocation  of  tagged  fish  in  the  way  just 
described  would  tend  to  make  it  appear  that  the 
tagged  fish  remain  together  less  than  they  actually 
do  if  they  are  not  randomly  mixed  with  the  untagged 
ones. 

In  addition  to  the  problems  created  by  failure  to 
recover  all  the  tagged  fish  as  soon  as  they  are 
caught,  there  are  probably  problems  created  by  false 
data.  Sometimes  the  persons  recovering  tagged  fish 


keep  the  tags  they  have  recovered  over  a  period  of 
several  days,  weeks,  or  even  longer,  and  then  return 
them  to  an  lATTC  employee,  telling  him  that  they 
were  all  recovered  that  day  in  the  well  or  pair  of 
wells  that  was  unloaded  that  day.  The  likelihood  that 
the  data  are  false  can  often,  but  not  always,  be 
detected  by  an  alert  lATTC  employee.  When  the 
likelihood  that  the  data  are  false  is  not  detected,  it 
will  appear  that  the  tagged  fish  remain  together 
more  than  is  actually  the  case.  It  is  believed  that, 
in  spite  of  attempts  to  detect  data  which  are  likely 
to  be  false,  some  false  data  are  included  in  the 
analyses  and  make  it  appear  that  the  tagged  fish 
remain  together  more  than  is  actually  the  case. 

The  fact  that  the  numbers  of  tag  returns  were 
small,  coupled  with  the  requirement  for  the  Chi- 
square  contingency  tests  that  the  categories  for  the 
expected  numbers  of  tagged  fish  be  equal  to  or 
greater  than  5,  tends  to  make  it  appear  that  the 
tagged  fish  mix  more  rapidly  with  the  untagged  ones 
than  is  actually  the  case.  The  biases  resulting  from 
the  mixing  of  the  fish  caught  in  different  sets  in  the 
same  wells  and  from  false  data  tend  to  make  it  ap- 
pear that  the  tagged  and  untagged  fish  mix  less 
rapidly  than  is  actually  the  case.  Thus  the  two  fac- 
tors tend  to  cancel  each  other  out,  at  least  partial- 
ly, although  the  first  bias  may  be  stronger  than  the 
second.  If  so,  the  tentative  conclusion  made  above 
that  the  tagged  and  untagged  fish  mix  thoroughly 
within  about  3  to  5  months  may  be  incorrect;  that 
time  could  be  somewhat  longer.  For  the  binomial 
homogeneity  tests  only  the  second  bias  exists,  so  the 
rate  of  mixing  of  the  tagged  and  untagged  fish  in- 
dicated by  these  tests  is  probably  somewhat  slower 
than  is  actually  the  case. 

Sharp  (1978)  stated  that  it  is  likely  that  skipjack 
tuna  in  the  same  school  are  "related,"  but  it  seems 
unlikely  that  tunas  could  school  together  for  their 
entire  lives,  an  implication  attributed  to  Sharp  (1978) 
by  Lester  et  al.  (1985).  During  the  egg  and  larval 
stages,  the  fish  are  at  the  mercy  of  their  environ- 
ment, and  individuals  which  were  together  at  one 
time  would  often  be  separated  by  the  currents.  Fur- 
thermore, large  tunas  of  the  genus  Thunnus  occur 
mostly  in  subsurface  waters  at  depths  to  nearly  300 
m  (Suzuki  et  al.  1977).  Although  there  are  areas  of 
greater  and  lesser  concentrations  of  large,  subsur- 
face-dwelling fish,  there  is  no  evidence  that  they 
form  concentrated  schools  such  as  those  which  oc- 
cur at  the  surface.  The  present  study  indicates  that 
skipjack  tuna  in  the  size  range  of  about  3.4  to  7.0 
pounds  (about  43  to  53  cm  in  length)  of  the  same 
school  mix  randomly  with  those  of  other  schools 


642 


BAYLIFF:  INTEGRITY  OF  SKIPJACK  TUNA  SCHOOLS 


within  about  3  to  5  months,  or  possibly  somewhat 
longer.  This  is  in  agreement  with  the  findings  of 
Anonymous  (1960)  and  Lester  et  al.  (1985),  but  not 
those  of  Sharp  (1978),  discussed  at  the  beginning 
of  this  report. 

ACKNOWLEDGMENTS 

Appreciation  is  expressed  to  Gayle  Ver  Steeg,  who 
compiled  the  catch  and  effort  data;  to  Stephen  T. 
Buckland,  Richard  G.  Punsly,  and  Patrick  K.  Tom- 
linson,  who  contributed  some  ideas  for  analysis  of 
the  data;  and  to  Stephen  T.  Buckland,  Andrew  E. 
Dizon,  Ashley  J.  Mullen,  Richard  G.  Punsly,  Michael 
D.  Scott,  and  three  anonymous  reviewers,  who  made 
some  useful  suggestions  for  improvement  of  the 
manuscript. 

LITERATURE  CITED 

Anonymous. 

1960.  Tagging  returns  indicate  that  skipjack  is  not  a  wide- 
ranging  species.  U.S.  Natl.  Mar.  Fish.  Serv.,  Commer. 
Fish.  Rev.  22(ll):25-26. 

Bayliff,  W.  H.,  and  K.  N.  Holland. 

1986.    Materials  and  methods  for  tagging  tunas  and  billfishes, 
recovering  the  tags,  and  handling  the  recapture  data.    FAO 
Fish.  Tech.  Pap.  279,  36  p. 
Helfman,  G.  S. 

1981.    Twilight  activities  and  temporal  structure  in  a  fresh- 
water fish  community.    Can.  J.  Fish.  Aquat.  Sci.  38:1405- 
1420. 
Hennemuth,  R.  C. 

1957.    An  analysis  of  methods  of  sampling  to  determine  the 
size  composition  of  commercial  landings  of  yellowfin  tuna 
{Neothunnus  macropterus)  and  skipjack  (Kat.suwonus  pela- 
mis).    Inter-Am.  Trop.  Tuna  Comm.,  Bull.  2:171-243. 
Hunter,  J.  R.,  A.  W.  Argue,  W.  H.  Bayliff,  A.  E.  Dizon, 
A.  Fonteneau,  D.  Goodman,  and  G.  R.  Seckel. 
1986.    The  dynamics  of  tima  movements:  an  evaluation  of  past 
and  future  research.    FAO  Fish.  Tech.  Pap.  277,  78  p. 
Joseph,  J.,  and  T.  P.  Calkins. 

1969.    Population  dynamics  of  the  skipjack  tuna  (Katsuwonus 
pelamis)  in  the  eastern  Pacific  Ocean.  Inter-Am.  Trop.  Tuna 
Comm..  Bull.  13:1-273. 
Kendall,  M.  G.,  and  A.  Stuart. 

1961.  The  advanced  theory  of  statistics,  Vol.  2.    HafnerPubl. 


Co.,  N.Y.,  676  p. 
Lester,  R.  J.,  A.  Barnes,  and  G.  Habib. 

1985.  Parasites  of  skipjack  tuna,  Katsuwonus  pelamis: 
fishery  implications.    Fish.  Bull.,  U.S.  83:343-356. 

MoYLE,  P.  B.,  and  J.  J.  Cech,  Jr. 

1982.    Fishes:  an  introduction  to  ichthyology.    Prentice-Hall, 
Inc.,  Englewood  Cliffs,  NJ,  593  p. 
Parr,  A.  E. 

1927.    A  contribution  to  the  theoretical  analysis  of  the  school- 
ing behavior  of  fishes.    Occas.  Pap.  Bingham  Oceanogr. 
Collect.,  32  p. 
Peterson,  C.  L.  (editor). 

1982.    Annual  report  of  the  Inter- American  Tropical  Tuna 
Commission,  1981.    Inter-Am.  Trop.  Tuna  Comm.,  303  p. 
Pitcher,  T.  J. 

1986.  Functions  of  schooling  behaviour  in  teleosts.  In  T.  J. 
Pitcher  (editor),  The  behavior  of  teleost  fishes,  p. 
294-337.    Johns  Hopkins  Univ.  Press,  Baltimore. 

Ryan,  B.  F.,  B.  L.  Joiner,  and  T.  A.  Ryan,  Jr. 

1985.  MINITAB  handbook.  2d  ed.  Duxbury  Press,  Boston, 
374  p. 

Scott,  J.  M.,  and  G.  A.  Flittner. 

1972.    Behavior  of  bluefin  tuna  schools  in  the  eastern  north 
Pacific   Ocean   as   inferred   from   fishermen's  logbooks, 
1960-67.    Fish.  Bull,  U.S.  70:915-927. 
Sharp,  G.  D. 

1978.    Behavioral  and  physiological  properties  of  tunas  and 
their  effects  on  vulnerability  to  fishing  gear.    In  G.  D.  Sharp 
and  A.  E.  Dizon  (editors).  The  physiological  ecology  of  tunas, 
p.  297-449.    Acad.  Press,  N.Y.,  San  Franc,  and  Lond. 
Shaw,  E. 

1970.    Schooling  in  fishes:  critique  and  review.    In  L.  R.  Aron- 
son,  E.  Tobach,  D.  S.  Lehrman,  and  J.  S.  Rosenblatt 
(editors),    Development    and    evolution    of   behavior,    p. 
452-480.    W.  H.  Freeman  and  Company,  San  Franc. 
Shimada,  B.  M.,  and  M.  B.  Schaefer. 

1956.    A  study  of  changes  in  fishing  effort,  abundance,  and 
yield  for  yellowfin  and  skipjack  tuna  in  the  eastern  tropical 
Pacific  Ocean.    Inter-Am.  Trop.  Tuna  Comm.,  Bull.  1:347- 
469. 
Shingu,  C,  p.  K.  Tomlinson,  and  C.  L.  Peterson. 

1974.    A  review  of  the  Japanese  longline  fishery  for  tunas  and 
billfishes  in  the  eastern  Pacific  Ocean,  1967-1970.    Inter- 
Am.  Trop.  Tuna  Comm.,  Bull.  16:65-230. 
Suzuki,  Z.,  Y.  Warashina,  and  M.  Kishida. 

1977.    The  comparison  of  catches  by  regular  and  deep  longline 
gears  in  the  western  and  central  equatorial  Pacific.    Bull. 
Far  Seas  Fish.  Res.  Lab.  (Shimizu),  15:51-89. 
Turner,  S.  C. 

1986.  An  analysis  of  recaptures  of  tagged  bluefin  with  respect 
to  the  mixing  assumption.  Int.  Comm.  Conserv.  Atl.  Tunas, 
Collect.  Vol.  Sci.  Pap.  24:196-202. 


643 


COMPARISON  OF  TWO  LENGTH-FREQUENCY  BASED  PACKAGES  FOR 

ESTIMATING  GROWTH  AND  MORTALITY  PARAMETERS  USING 

SIMULATED  SAMPLES  WITH  VARYING  RECRUITMENT  PATTERNS 

Margarida  Castro  and  Karim  Erzini' 

ABSTRACT 

Length-frequency  distributions  were  simulated  for  species  with  recruitment  patterns  characteristic  of 
many  tropical  fish;  1 )  one  recruitment  peak  per  year,  fast  growth  and  very  high  mortality,  2)  one  recruit- 
ment peak  per  year,  slow  growth  and  moderate  to  high  mortality,  3)  two  recruitment  peaks  per  year, 
slow  growth  and  moderate  to  high  mortality,  and  4)  random  recruitment,  slow  growth  and  moderate 
to  high  mortality.  Two  microcomputer  program  packages— one  incorporating  the  ELEFAN  I  &  II  pro- 
grams and  the  other  implementing  a  form  of  Modal  Progression  Analysis— were  used  to  estimate  growth 
and  mortality  parameters,  and  these  were  compared  with  the  initial  parameters  used  to  generate  the 
simulated  samples.  The  results,  while  generally  encouraging,  suggest  that  multiple  recruitments  per  year 
make  it  difficult  to  estimate  growth  and  mortality  parameters  using  these  two  packages. 


Information  concerning  growth,  mortality,  and 
recruitment  patterns  is  of  great  importance  in 
lengtli-frequency  analysis.  The  purpose  of  this  paper 
was  to  evaluate  two  sets  of  methods  used  in  length- 
frequency  analysis  in  terms  of  their  ability  to 
produce  accurate  estimates  of  growth  and  mortal- 
ity parameters  in  the  absence  of  such  biological 
information. 

The  methodology  chosen  consisted  of  generation 
of  length-frequency  distributions  with  known  pa- 
rameters to  which  the  length-frequency  methods 
were  applied.  The  results  obtained  with  the  method 
were  compared  with  the  initial  conditions.  This  pro- 
cedure has  been  used  in  other  studies  (Hampton  and 
Majkowski  1987;  Jones  1987). 

The  development  of  the  program  for  simulating 
length  frequencies  was  guided  by  assumptions  im- 
plicit in  the  length-frequency  methods  and  by  known 
factors  concerning  the  biology  offish.  These  include 
1)  average  individual  growth  in  accordance  with  the 
von  Bertalanffy  growth  curve,  2)  little  variation  in 
natural  mortality  throughout  the  exploited  phase, 

3)  exponential  decline  in  the  numbers  of  a  cohort, 

4)  length  distributions  normal  for  each  age  class, 
and  5)  recruit  numbers  random.  Some  other  fea- 
tures of  the  program,  such  as  the  selectivity  of  the 
gear  (logistic  type)  are  not  standard  assumptions  of 
length-frequency  methods  but  are  options  for  pa- 
rameters necessary  to  describe  the  effect  of  fishing. 


'Graduate  School  of  Oceanography,  Narragansett  Bay  Campus, 
University  of  Rhode  Island,  Narragansett,  RI  02882. 


The  authors  believe  that  the  simulated  length  fre- 
quencies accurately  reflect  the  assumptions  of  the 
length-frequency  methods  and  therefore  the  gener- 
ated samples  can  be  used  to  test,  correct,  and  pos- 
sibly improve  these  methods.  The  simulated  sam- 
ples might  also  help  to  define  a  range  of  situations 
when  a  specific  length-frequency  method  can  or  can- 
not be  used. 

Traditionally,  length-frequency  analysis  methods 
have  been  used  as  validation  methods  for  age  deter- 
minations made  independently.  Recently,  these  tech- 
niques have  grown  in  importance  and  frequency  of 
use,  in  particular  in  tropical  fisheries,  where  age 
determinations  based  on  direct  reading  of  check 
marks  in  hard  parts  of  the  fish  are  difficult,  and  in 
crustaceans,  which  do  not  have  permanent  hard 
structures.  As  a  result,  length-frequency  analysis 
has  been  used  in  situations  where  very  little  is 
known  about  the  biology  of  the  species. 

It  is  the  purpose  of  this  work  to  contribute  to  the 
understanding  of  the  possible  errors  that  are  made 
when  length-frequency  analysis  is  used  without 
biological  information  on  mortality  levels,  growth 
parameters,  and,  in  particular,  recruitment  pat- 
terns. It  might  be  argued  that  such  methods  of 
length-frequency  analysis  are  particularly  useful  in 
the  situations  described  above,  precisely  because 
they  do  not  require  a  priori  knowledge  of  biological 
information.  The  question  then  becomes,  is  it  legit- 
imate to  use  length-frequency  analysis  techniques 
in  the  absence  of  minimum  biological  information? 
And  if  the  answer  to  this  question  is  no,  then  what 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN:  VOL.  86.  NO.  4,  1988. 


645 


FISHERY  BULLETIN:  VOL.  8(5,  NO.  4 


are  the  minimum  requirements  for  each  one  of  the 
length-frequency  analysis  methods?  We  hope  this 
paper  can  contribute  to  providing  some  understand- 
ing of  this  problem. 

MATERIALS  AND  METHODS 

The  Simulation  Program:  SIMULPOP^ 

SIMULPOP  was  developed  in  BASIC,  for  IBM 
microcomputers  and  compatibles.  Populations  are 


^The  program  SIMULPOP  is  available  from  Margarida  Castro 
upon  request. 


simulated  by  following  cohorts  in  time  and  the  gen- 
eral characteristics  and  assumptions  of  the  program 
include  1)  individual  growth  described  by  a  von 
Bertalanffy  growth  curve,  no  seasonality  consi- 
dered; 2)  recruitment:  different  patterns  and  ran- 
dom in  numbers;  3)  natural  mortality:  random  and 
normally  distributed;  4)  fishing  mortality:  random 
and  normally  distributed,  and  corrected  for  incom- 
plete selectivity  in  younger  ages;  5)  selectivity: 
logistic  equation  considered  to  represent  selectiv- 
ity of  the  fishing  gear;  and  6)  length  distribution 
for  each  age  normally  distributed,  with  a  mean  given 
by  the  von  Bertalanffy  growth  curve.  The  shapes 
of  the  frequency  distributions  are  independent  of 


CO 
0) 


0) 

0) 


c 

0) 


20.004 

15.00 

10.004 

5.00 

0.00 


20.00 

15.00 

10.00 

5.00 

0.00 


25.00 
20.00 
15.00- 
10.00 
5.00 
0.00 


25.00 

20.00 

15.00 

10.00 

5.00 

0.00 

30.00 

25.00 

20.00 

15.00 

10.00 

5.00 

0.00 


Itl^ 


Jan 


Jlllllu^ 


Mar 


May 


Jul 


Sep 


JllUu 


Nov 


3       5       7       9      11      13     15     1719 

Length  classes  (1  cnn) 


10.00 


4      7     10     13     16    19    22    25    28    31 
Length  classes  (1  cm) 


Figure  la.— Example  of  simulated  length-frequency  distributions  for  situation  1,  the  sardine-type  species  with  one  recruitment  peak 

a  year.  Only  6  of  the  12  months  are  represented. 
Figure  lb.— Example  of  simulated  length-frequency  distributions  for  situation  2,  the  sparid/lutjanid-type  species  with  one  recruitment 

peak  a  year.  Only  6  of  the  12  months  are  represented. 


646 


CASTRO  AND  ERZINI:  COMPARISON  OF  LENGTH-FREQUENCY  PACKAGES 


catch  size  and  can  be  regarded  as  unbiased.  Exam- 
ples of  simulated  length  frequencies  for  each  of  the 
four  situations  are  presented  in  Figures  la-d  and 
examples  of  component  distributions  contributing 
to  the  composition  of  a  particular  distribution  are 
given  in  Figures  2a-d.  In  what  follows,  the  word 
cohort  refers  to  the  fish  recruited  in  a  particular 
period.  For  one  spawning  peak  a  year  cohort  and 
age  class  are  equivalent.  However,  in  the  situa- 
tions where  multiple  recruitment  periods  were 
simulated,  more  than  one  cohort  will  contribute  to 
a  given  age  class.  In  multiple  recruitment  situations 
the  word  cohort  does  not  have  its  traditional 
meaning. 


The  Choice  of  Parameters 

The  following  four  situations  were  simulated  and 
the  parameters  are  given  in  Table  1:  1)  A  sardine- 
like species,  characterized  by  small  size,  fast  growth, 
high  mortality,  very  intense  fishing  mortality,  and 
with  one  recruitment  peak  per  year  (situation  1); 
2)  a  small  sparid/lutjanid  type  species,  with  larger 
size,  slower  growth  with  moderate  to  high  fishing 
mortality,  and  one  recruitment  peak  per  year  (situa- 
tion 2);  3)  a  species  with  the  same  characteristics 
as  the  one  described  previously,  but  with  two  re- 
cruitment peaks  per  year  (situation  3);  and  4)  a 
species  with  the  same  characteristics  as  the  two 


0} 


Oi 

cr 
a: 


05 

c 


3    5    7    9   11   13  15  17  19  21  23  25  27  29 

Length  classes  (1  cm) 


^ 


10.00- 

5.00- 

0.00 
10.00- 

5.00- 

0.00 


2     10.00- 


jiiiiiii.. 


Mar 


■.■llllllllllli.,,.  -1-^ 


Jul 


Sep 


lov 


3    5    7    9   11   13  15  17  19  21  23  25  27  29 

Length  classes  (1  cm) 


Figure  Ic— Example  of  simulated  length-frequency  distributions  for  situation  3,  the  sparid/lutjanid-type  species  with  two  recruit- 
ment peaks  a  year.  Only  6  of  the  12  months  are  represented. 

Figure  Id.— Example  of  simulated  length-frequency  distributions  for  situation  4,  the  sparid/lutjanid-type  species  with  random  recruit- 
ment. Only  6  of  the  12  months  are  represented. 


647 


FISHERY  BULLETIN:  VOL.  8«.  NO.  4 


AU  - 

(/) 

. 

0) 

•^    -^ 

S5 

20  - 

2i   o 

3    ^ 

cr 

0)      0) 

L.    f 

V-    -c 

x:   >^ 

♦^    o 

in  - 

^^ 

Qi    ^ 

■•>  Age  class  1 

-♦-  Age  class  2 

-B-  Age  class  3 

-■-  Total  of  all  ages 


4     5     6     7     8     9     10    11     12    13    14 

Length  classes  (1  cm) 


-f— # — I — I — I- 

15    16    17    18    19  20 


-o-  Cohort  12 
-♦-  Cohort  1  1 
-D-    Total  age  1 


-o    Cohort  10 
-»-    Cohort  9 
■9-    Total  age  2 


-n- 

Cohort  8 
Cohort  7 

/ 

\ 

2  - 

-o- 

Total  age  3 

J^ 

2  - 

-D- 

I                 1  ■*' 
Cohort  6 

1 

-♦- 

Cohort  5 

ir^ 

^X 

-»- 

Total  age  4 

.^ 

'^a. 

0  - 

1                1 

1                  T-n^BP              1 

Figure  2a.— Example  showing  component  distributions 
for  one  length-frequency  sample  (month  of  November  of 
the  same  simulation  represented  in  Figure  la)  for  situa- 
tion 1.  Age  class  4  is  not  represented  due  to  low  fre- 
quencies. 

Figure  2b.— Example  showing  component  distributions 
for  one  length-frequency  sample  (month  of  November  of 
the  same  simulation  represented  in  Figure  lb)  for  situa- 
tion 2.  Age  class  6  is  not  represented  due  to  low  fre- 
quencies. 

Figure  2c.— Example  showing  component  distributions  for 
one  length-frequency  sample  (month  of  November  of  the 
same  simulation  represented  in  Figure  Ic)  for  situation 
3.  There  are  two  cohorts  contributing  to  each  age  class. 
Ages  5  and  6  are  not  represented  due  to  low  frequencies. 

Figure  2d.— Example  showing  component  distributions 
for  one  length-frequency  sample  (month  of  November  of 
the  same  simulation  represented  in  Figure  Id)  for  situa- 
tion 4.  In  this  case  there  are  multiple  cohorts  contributing 
to  each  age  class.  Age  classes  1  and  6  are  not  represented 
due  to  low  frequencies. 


5  10  15  20  25 

Length  classes  (1  cnn) 


30 


648 


CASTRO  AND  ERZINI;  COMPARISON  OF  LENGTH-FREQUENCY  PACKAGES 


Age  class 
Age  class  2 
Age  class  3 
Age  class  4 
Age  class  5 
All  age  classes 


7       9      11      13      15      17      19     21     23    25    27    23 

Length  classes  (1  cm) 


31 


10  -1 


Cohort  30 
Cohort  29 
Cohort  28 
Cohort  27 
Cohort  26 
Cohort  25 
Total  age  2 


15  20  25 

Length  classes  (1  cm) 


30 


Cohort  24 
Cohort  23 
Cohort  22 
Cohort  21 
Cohort  20 
Cohort  19 
Cohort  18 
Total  age  3 


Cohort  17 
Cohort  1  6 
Cohort  15 
Cohort  14 
Cohort  1  3 
Cohort  12 
Cohort  1  1 
Total  age  4 

Cohort  10 
Cohort  9 
Cohort  8 
Cohort  7 
Cohort  6 
Total  age  5 


649 


FISHERY  BULLETIN:  VOL.  Sfi,  NO.  4 


Table  1  .—Parameters  chosen  for  the  simulations. 


Situation: 

1 

2 

3 

4 

Oldest  age  present  in  catch  (years) 

4 

6 

6 

6 

Age  of  recruitment  to  the  area 

of  adult  stock  (months) 

6 

6 

6 

6 

Growth  parameters 

L„  (cm) 

20 

35 

35 

35 

K 

0.3 

0.2 

0.2 

0.2 

to  (years) 

0 

0 

0 

0 

Instantaneous  annual 

natural  mortality  rate 

Mean 

0.4 

0.25 

0.25 

0.25 

SD 

0.015 

0.01 

0.01 

0.01 

Instantaneous  annual 

fishing  mortality  rate 

l\/1ean 

1.7 

0.8 

0.8 

0.8 

SD 

0.05 

0.02 

0.02 

0.02 

Selectivity  parameters  (cm) 

Mesh 

1.5 

3.5 

3.5 

3.5 

Length  25%  retension 

3.25 

11.25 

11.25 

11.25 

Length  75%  retension 

8.75 

16.75 

16.75 

16.75 

Standard  deviations  of 

length-at-age 

Age  0 

0.5 

1.0 

1.0 

1.0 

Age  1 

1.0 

1.2 

1.2 

1.2 

Age  2 

1.5 

1.5 

1.5 

1.5 

Age  3 

1.5 

2.0 

2.0 

2.0 

Age  4 

1.5 

2.0 

2.0 

2.0 

Age  5 

2.0 

2.0 

2.0 

Age  6 

2.0 

2.0 

2.0 

Recruitment  pattern 

once/yr 

once/yr 

twice/yr 

stochastic 

May-June 

May-June 

Mar. -Apr. 
Sept. -Oct. 

previous  ones,  but  with  stochastic  recruitment,  and 
random  recruitment  intensities  assigned  to  random- 
ly selected  months  (situation  4). 

The  choice  of  these  recruitment  patterns  was 
based  on  the  knowledge  that  tropical  species  have 
different  types  of  recruitment  periodicities  with 
varying  temporal  and  spatial  variation  (Thresher 
1984).  The  same  species  may  have  different  patterns 
(Sale  et  al.  1984).  Two  principal  peaks  and  year- 
round  recruitment  have  been  reported  in  coral  reef 
fish  from  Hawaii  (Walsh  1987)  and  Curasao  (Luck- 
hurst  and  Luckhurst  1977).  One  single  recruitment 
per  year  has  also  been  reported  (Li  1960;  Gladstone 
and  Westoby  1988). 

Mortality  values,  both  natural  and  fishing,  were 
chosen  to  have  small  standard  deviations  (Table  1) 
because  the  main  objective  was  to  examine  the  ef- 
fects of  different  recruitment  patterns,  and  we 
wanted  to  keep  the  possible  effects  of  variations  in 
other  factors  as  small  as  possible. 

The  standard  deviations  of  length-at-age  used 
(Table  1)  are  representative  of  values  for  species 
with  life  history  characteristics  similar  to  those  of 
the  cases  considered  for  this  study  (K.  Erzini,  work 
in  progress). 


The  Length-Frequency  Analysis 

The  two  techniques  chosen  to  represent  length- 
frequency  analysis  were  ELEFAN  (Electronic 
Length  Frequency  Analysis)  (Brey  and  Pauly  1986) 
and  the  package  entitled  "Length  Frequency  Based 
Fish  Stock  Assessment  Microcomputer  Programs" 
(LFSA  package)  by  Sparre  (1986;  adapted  to  MS 
DOS  by  K.  Erzini).  ELEFAN  has  been  widely  used 
in  the  analysis  of  tropical  fish  stocks,  and  its  non- 
parametric  basis  for  determination  of  K  and  L^ 
makes  it  a  unique  methodology  for  the  analysis  of 
length  frequencies. 

In  ELEFAN,  the  length-frequency  samples  are 
restructured  in  order  to  emphasize  peaks.  Details 
of  the  restructuring  methodology  are  given  in  Brey 
and  Pauly  (1986).  Growth  curves  are  generated  for 
values  of  K  and  L^  within  specified  ranges  and  fit 
to  the  reconstructed  length-frequency  data.  The  best 
curves  are  considered  to  be  the  ones  that  pass 
through  the  most  peaks  and  the  least  troughs. 

The  LFSA  package  uses  a  method  of  a  different 
nature— the  Bhattacharya  method  (Bhattacharya 
1967),  to  separate  normal  curves,  under  the  assump- 
tion that  the  length  distributions  for  each  age  are 


650 


CASTRO  AND  ERZINI:  COMPARISON  OF  LENGTH-FREQUENCY  PACKAGES 


normal.  The  decomposition  of  each  length-frequency 
sample  into  component  distributions  is  carried  out 
by  plotting  a  logarithmic  transformation  of  the  dif- 
ferences between  successive  length  frequencies.  A 
normal  distribution  appears  as  a  series  of  values 
making  up  a  straight  line  with  a  negative  slope.  In 
the  LFSA  package,  which  implements  the  Bhat- 
tacharya  (1967)  method,  the  user  selects  the  points 
believed  to  make  up  a  normal  distribution,  and  the 
mean,  standard  deviation  and  various  other 
statistics  are  computed.  In  the  next  step,  the  means 
of  all  distributions  are  plotted  against  time  and  the 
mean  lengths  thought  by  the  user  to  reflect  the  pro- 
gression of  a  cohort  are  linked.  Finally,  growth 
parameters  are  computed  from  the  linked  modes  by 
a  method  referred  to  as  a  Gulland  and  Holt  plot 
(Gulland  and  Holt  1959). 

In  both  packages,  the  growth  parameters  are  used 
to  create  age  based  catch  curves  for  estimation  of 
instantaneous  annual  total  mortality,  Z.  Therefore, 
except  for  the  estimation  of  Z,  the  methodologies 
of  the  two  packages  are  quite  independent.  However 
they  are  both  characterized  by  a  certain  degree  of 
subjectivity. 

Methodology 

Following  the  suggestion  of  Hampton  and  Maj- 
kowski  (1987),  two  different  teams  were  formed. 
One  (team  A)  created  the  simulated  samples  (10 
cases  of  12  monthly  samples  for  each  situation),  and 
another  (team  B)  ran  the  length-frequency  analysis. 
The  40  cases  were  given  arbitrary  filenames  and 
were  mixed  by  team  A  prior  to  analysis  by  team  B. 
This  was  done  to  avoid  influencing  the  choice  of  ini- 
tial values  or  parameter  ranges,  required  by  some 
of  the  methods  applied.  In  estimating  the  growth 


parameters  using  the  LFSA  package,  constraints 
on  the  limit  of  acceptable  estimates  of  L^  were 
guided  by  the  value  of  the  midpoint  of  the  largest 
size  class  in  each  particular  case.  For  analysis  by 
ELEFAN  I  &  II,  the  size  of  the  largest  length  class 
also  helped  guide  the  choice  of  range  of  potential 
values  of  L^.  Team  A  provided  information  to 
team  B  in  different  phases.  In  phase  1,  samples  were 
provided  to  team  B  with  information  on  mesh  size, 
and  only  broad  descriptions  of  the  type  of  species, 
and  indications  of  fishing  mortality  levels.  Team  B 
analyzed  the  length-frequency  samples  with  both 
packages  to  the  best  of  his  ability.  In  Phase  2,  exact 
information  on  growth,  mortality,  and  number  of 
age  classes  was  provided  and  new  estimates  of  Z 
were  obtained  using  both  packages.  The  results  pro- 
duced by  team  B  are  presented  in  Table  2. 

It  should  be  noted  that  expected  values  for  Z  in 
Table  2  are  less  than  the  sums  of  F  and  M  in  Table 
1.  This  is  because  Table  1  values  are  inputs,  and  F 
is  subsequently  corrected  for  selectivity. 

RESULTS 

In  situation  1,  the  sardine-type  species  with  one 
recruitment  peak  per  annum,  the  samples  were 
simulated  using  growth  parameters  typical  of  a 
small  clupeid  with  high  fishing  effort  expressed  by 
a  high  value  oiF  and  small  mesh  size.  Thus  a  typical 
length-frequency  sample  consists  of  4  component 
distributions  or  4  cohorts  (Figure  2a).  While  esti- 
mates of  the  growth  parameters  by  ELEFAN  were 
very  good,  the  LFSA  package  estimates  of  i(^  were 
surprisingly  high. 

Close  examination  of  the  length  frequencies,  the 
Bhattacharya  method  and  Gulland  and  Holt  plot  im- 
plemented by  Sparre  revealed  a  number  of  factors 


Table  2.— Results  of  estimation  of  growth  and  mortality  parameters  (mean  and  standard  deviation)  using 
ELEFAN  and  LFBFSA  packages.  Z,  and  Zj  are  total  mortalities  calculated  using  estimated  and  actual  K 
and  L„  values. 


Parameters 

ELEFAN 

LFBFSA 

Expected  v 

alues 

Situation 

K 

/-» 

^1 

^2 

K 

/.» 

^1 

^2 

Z 

1 

Mean 

0.30 

21.3 

2.09 

1.78 

0.46 

21.0 

3.01 

1.96 

0.3 

20.0 

1.32 

SD 

0.03 

1.30 

0.41 

0.26 

0.14 

3.55 

0.67 

0.25 

2 

Mean 

0.18 

38.8 

1.35 

1.22 

0.18 

33.2 

0.89 

1.17 

0.2 

35.0 

1.02 

SD 

0.02 

3.10 

0.27 

0.14 

0.06 

2.97 

0.33 

0.22 

3 

Mean 

0.19 

37.9 

1.24 

1.17 

0.14 

36.1 

0.79 

1.09 

0.2 

35.0 

1.02 

SD 

0.03 

2.33 

0.27 

0.18 

0.05 

3.84 

0.38 

0.13 

4 

Mean 

0.19 

37.2 

1.24 

1.15 

0.20 

36.2 

1.15 

1.14 

0.2 

35.0 

1.02 

SD 

0.04 

2.93 

0.40 

0.20 

0.06 

4.35 

0.20 

0.11 

651 


FISHERY  Hl'LLETIN:  VOL.  86,  NO.  4 


contributing  to  tlie  high  estimates  of  K.  First,  the 
relatively  fast  growth  rate  and  high  mortality  re- 
sulted in  early  overlapping  or  accumulation  of  dis- 
tributions and  in  large  fish  being  rare  so  that  team 
B  could  never  identify  more  than  3  out  of  4  modes 
corresponding  to  fished  age  classes  using  the  Bhat- 
tacharya  method  in  any  sample  (Fig.  2a).  Second, 
the  third  mode  was  consistently  overestimated 
because  the  distributions  for  age  classes  3  and  4 
were  merged  together.  Third,  the  young-of-the-year 
fish  do  not  appear  in  the  samples  as  a  well-defined 
distribution  until  late  in  the  monthly  time  series  of 
samples  because  recruitment  does  not  take  place  un- 
til June.  Finally,  we  found  that  estimates  of /iT  using 
the  Gulland  and  Holt  plot  in  the  LFSA  package  were 
very  sensitive  to  small  deviations  in  the  estimates 
of  modal  lengths  obtained  using  the  Bhattacharya 
method. 

Total  mortality  estimates  for  situation  1  using 
the  estimated  K  and  L^  values  were  not  good  for 
either  package.  Estimates  of  Z  using  the  actual  K 
and  L^  values  used  in  the  simulations  were  within 
35%  and  45%  of  the  expected  Z  (Table  2). 

Situation  2  was  the  sparid/lutjanid  type,  character- 
ized by  a  single  recruitment  peak  per  year  and  5 
distributions  corresponding  to  the  5  fished  cohorts 
in  the  catch  (Fig.  2b).  Both  methodologies  gave 
similar  estimates  of  K,  close  to  the  actual  value. 
However,  L^  was  overestimated  by  ELEFAN  and 
underestimated  by  the  LFSA  package.  The  mean 
estimate  of  Z  was  within  32%  of  the  expected  Z  for 
the  ELEFAN  catch  curve  analysis  and  within  13% 
for  the  LFSA  package  analysis.  Mean  Phase  H 
estimates  of  Z  were  20%  and  15%  above  the  ex- 
pected Z  (Table  2). 

Situation  3,  the  sparid/lutjanid  type  with  two  re- 
cruitment peaks  per  year  (Fig.  2c)  produced  good 
results  using  ELEFAN.  However,  modal  progres- 
sion estimates  of  K  were  low,  with  corresponding 
underestimates  of  Z  (Table  2).  Component  distribu- 
tions were  poorly  defined  compared  to  situation  2; 
age  classses  4  and  5  were  often  obscured  by  the  age 
class  3  distribution.  Incorrect  separation  of  distribu- 
tions and  bad  estimates  of  growth  parameters  were 
therefore  not  unexpected. 

For  the  last  situation,  the  sparid/lutjanid  type  with 
stochastic  recruitment  (Fig.  2d),  estimates  of  K, 
L^,  and  Z  were  generally  good  for  both  packages. 
However,  as  shown  by  the  standard  deviations,  the 
range  of  estimates  for  certain  parameters  was 
quite  high.  This  was  the  case  for  K  estimated  by 
ELEFAN  and  L^  estimated  by  modal  progression 
analysis  in  the  LFSA  package. 


DISCUSSION 

This  preliminary  study  has  shown  that,  as  ex- 
pected, the  structure  of  the  data  has  a  big  effect  on 
the  estimates  derived  using  length-frequency  pack- 
ages. In  general,  the  results  were  encouraging. 
However,  it  should  be  noted  that  the  simulated 
length-frequency  distributions  can  be  regarded  as 
representing  high-quality  samples  of  the  hypothe- 
tical populations  in  terms  of  lack  of  bias,  sample 
size,  and  frequency  of  sampling.  In  other  words, 
real  life  length-frequency  data  is  seldom  of  this 
quality. 

The  modal  progression  analysis  implemented  by 
Sparre  (1986)  was  more  sensitive  to  the  structure 
of  the  length-frequency  samples.  Worst  results  in 
terms  of  estimation  of  growth  parameters  were  ob- 
tained under  multiple  recruitment  (situation  3)  and 
fast  growth  and  high  mortality  (situation  1).  A  fun- 
damental problem  with  the  Bhattacharya  method 
is  the  inability  to  identify  modes  at  the  upper  end 
of  the  size  spectrum,  particularly  when  there  is  fast 
growth  or  many  age  groups.  Identification  of  modes 
using  the  Bhattacharya  method  might  have  been  im- 
proved by  using  smaller  size  class  intervals,  par- 
ticularly for  situation  1.  However,  even  when  there 
was  little  ambiguity  in  the  selection  of  modes  using 
the  Bhattacharya  method,  it  was  found  that  the 
Gulland  and  Holt  plot  for  estimating  K  and  L^  was 
very  sensitive  to  small  underestimates  and  over- 
estimates of  the  modes  considered  to  represent 
growth  over  time. 

Length  converted  catch  curve  estimates  of  total 
mortality  are  highly  dependent  on  the  estimated 
growth  parameters.  Consequently,  estimates  of  Z 
generally  paralleled  estimates  of  K  and  L^  and 
were  not  as  good  as  estimates  of  Z  obtained  using 
the  actual  simulation  values  of  K.  These  latter  esti- 
mates of  Z  were  generally  close  to  actual  Z  values 
for  all  situations  despite  the  fact  that  the  length- 
frequency  data  necessarily  did  not  meet  steady-state 
assumptions  because  of  variable  recruitment  and 
mortality.  However,  the  variability  of  mortality 
rates  was  deliberately  kept  small  because  the  pri- 
mary objective  was  to  examine  the  effects  of  differ- 
ent recruitment  patterns. 

ELEFAN,  the  Bhattacharya,  and  the  modal  pro- 
gression method  of  the  LFSA  package  all  require 
subjective  decision  making  by  the  user.  It  would 
seem  that  ELEFAN  is  less  subjective  or  that  poor 
choices  are  less  likely  to  be  made  by  the  user  than 
in  the  selection  of  modes  by  the  Bhattacharya 
method  and  in  the  choice  of  modes  for  the  modal 


652 


CASTRO  AND  ERZINI:  COMPARISON  OF  LENGTH-FREQUENCY  PACKAGES 


progression  analysis  implemented  in  the  LFSA 
package. 

We  feel  that  length-frequency  analysis  should  not 
be  used  in  the  complete  absence  of  information  on 
growth  and  recruitment  patterns  or  with  very  small 
data  sets.  Other  important  information  includes  data 
on  migration  and  seasonal  patterns  in  distribution, 
and  such  information  should  be  used  to  guide  sam- 
pling programs.  Irregular  recruitment  both  in  terms 
of  level  and  pattern  may  strongly  affect  the  results. 
Clearly,  length-frequency  analysis  can  be  a  useful 
tool  when  used  in  conjunction  with  other  methods. 
However,  it  seems  unreasonable  to  expect  such  tech- 
niques to  produce  reliable  information  when  the 
classical  methods  of  fisheries  fail  or  cannot  be  used. 
For  example,  traditionally,  growth  parameters  have 
been  estimated  from  age-length  keys  and  mortal- 
ities derived  from  the  age  structure  of  the  catch. 
In  cases  where  the  age-length  key  cannot  be  ob- 
tained, there  is  a  temptation  to  obtain  growth 
parameters  at  any  cost  using  length-frequency  anal- 
ysis. If  this  is  done,  great  care  should  be  taken  to 
ensure  that  a  minimum  amount  of  biological  infor- 
mation exists.  The  use  of  length-frequency  analysis 
as  a  "black  box"  where  a  length-frequency  distribu- 
tion goes  in  from  one  side  and  a  whole  set  of 
biological  parameters  emerge  does  not  seem  correct. 
If  as  a  first  step,  the  data  are  plotted  and  there  is 
no  visual  evidence  of  progressing  modes,  then  even 
if  biological  information  is  available,  length-fre- 
quency techniques  should  perhaps  not  be  applied  at 
all. 

To  have  a  more  complete  picture  of  the  limitations 
and  usefulness  of  length-frequency  techniques,  a 
much  wider  range  of  conditions  must  be  tested.  For 
example,  the  effect  of  variations  in  individual 
parameters  particularly  M  and  F,  and  in  combina- 
tions of  parameters  must  be  tested.  The  effects  of 
size  class  width  on  length-frequency  analysis  is  also 
an  area  which  should  be  investigated.  It  is  the  in- 
tention of  the  authors  to  continue  this  work  in  order 
to  examine  as  wide  a  range  of  situations  as  possible. 

ACKNOWLEDGMENTS 

The  authors  would  like  to  express  their  gratitude 
to  Saul  Saila  for  his  guidance,  advice,  and  support 
during  the  course  of  this  work.  The  authors  would 
also  like  to  thank  D.  Pauly,  P.  Sparre,  and  an  anony- 


mous reviewer  for  their  comments.  This  work  was 
sponsored  in  part  by  USAID  Grant  No.  DAN- 
4146-G-SS-5071-00  (Fisheries  Stock  Assessment 
CRSP). 


LITERATURE  CITED 

Bhattacharya,  C.  G. 

1967.    A  simple  method  of  resolution  of  a  distribution  into 
Gaussian  components.    Biometrics  23:115-135. 
Brey,  T.,  AND  D.  Pauly. 

1986.  Electronic  length  frequency  analysis.  A  revised  and 
expanded  user's  guide  to  ELEFAN  0,  1  and  2.  Ber.  Inst. 
Meereskd.  Christ. -Albrechts-Univ.  Kiel,  No.  149,  77  p. 

Gladstone,  W.,  and  M.  Westoby. 

1988.  Growth  and  reproduction  in  Canthigaster  valentini 
(Pisces,  Tetraodontidae):  a  comparison  of  a  toxic  reef  fish 
with  other  reef  fishes.    Environ.  Biol.  Fishes  21:207-221. 

GULLAND,  J.  A.,  AND  S.  J.  HOLT. 

1959.  Estimation  of  growth  parameters  for  data  at  unequal 
time  intervals.    J.  Cons.  Int.  Explor.  Mer  25:47-49. 

Hampton,  J.,  and  J.  Majkowskl 

1987.  An  examination  of  the  accuracy  of  the  ELEFAN  com- 
puter programs  for  the  length-based  stock  assessment. 
In  D.  Pauly  and  G.  R.  Morgan  (editors),  Length-based 
methods  in  fisheries  research,  p.  203-216.  ICLARM  Conf. 
Proc.  13,  Manila. 

Jones,  R. 

1987.  An  investigation  of  length  composition  analysis  using 
simulated  length  compositions.  In  D.  Pauly  and  G.  R. 
Morgan  (editors).  Length-based  methods  in  fisheries 
research,  p.  217-238.    ICLARM  Conf.  Proc.  13,  Manila. 

Li,  K.-W. 

1960.  On  the  biology  of  the  Hong  Kong  Golden  Thread, 
Nemiptems  inrgatus  (Houttyun).  Hong  Kong  Univ.  Fish. 
J.  3:89-109. 

Luckhurst,  B.  E.,  and  K.  Luckhurst. 

1977.    Recruitment  patterns  of  coral  reef  fishes  on  the  fring- 
ing reef  of  Curasao,  Netherlands  Antilles.    Can.  J.  Zool. 
55:681-689. 
Sale,  P.  F.,  P.  J.  Doherty,  G.  F.  Eckert,  W.  A.  Douglas,  and 
D.  J.  Ferrel. 
1984.    Large  scale  spacial  and  temporal  variation  in  recruit- 
ment to  fish  populations  on  coral  reefs.    Oecologia  (Berl.) 
64:191-198. 
Sparre,  P. 

1986.  Length  frequency  based  fish  stock  assessment  micro- 
computer programs  (basic  program  package  for  the  micro- 
computer Apple  II),  Part  I,  User's  manual.  Dan.  Inst.  Fish. 
Mar.  Res.,  Charlottenlund  Slot,  2920  Charlottenlund,  Den- 
mark. 

Walsh,  W.  J. 

1987.  Patterns  of  recruitment  and  spawning  in  Hawaiian  reef 
fishes.    Environ.  Biol.  Fishes  18:257-276. 

Thresher,  R.  E. 

1984.  Reproduction  in  reef  fishes.  Trop.  Fish  Hobby.  Nep- 
tune, NJ. 


653 


SPECIFYING  A  FUNCTIONAL  FORM  FOR  THE  INFLUENCE 
OF  HATCHERY  SMOLT  RELEASE  ON  ADULT  SALMON  PRODUCTION 

BiiNG-HwAN  Lin'  and  Nancy  A.  Williams^ 


ABSTRACT 

The  hypothesis  of  density  independent  marine  survival  of  salmon  has  been  tested  extensively  with  con- 
flicting results.  Unduly  restrictive  functional  form  and  data  deficiency  have  been  suggested  as  the  major 
contributing  factors  to  the  mixed  results.  Focusing  on  the  issue  of  functional  form  selection,  this  paper 
utilizes  the  extended  Box-Cox  flexible  functional  form  which  allows  the  data  to  determine  the  statistical 
relationship  between  smolts  and  adult  production  without  a  priori  restrictions.  The  model  is  applied  to 
Hokkaido  chum  salmon,  Oncorhynchus  keta,  and  Oregon  coho  salmon,  0.  kisutch.  Empirical  results  sug- 
gest the  existence  of  density  dependence  for  both  Hokkaido  chum  and  Oregon  coho  salmon.  Further, 
an  increasing  variability  of  adult  production  with  respect  to  an  increase  in  smolts  is  found  for  Hokkaido 
chum  salmon  but  not  for  Oregon  coho  salmon. 


Two  issues  pertaining  to  the  relationship  between 
the  number  of  hatchery  smolts  released  and  the 
number  of  adult  salmon  returned  have  been  inves- 
tigated recently  in  the  literature.  First,  the  hypoth- 
esis of  density  independence  in  the  relationship  be- 
tween salmon  adults  and  smolts  has  been  tested.  The 
null  hypothesis  is  a  linear  relationship  between 
adults  returned  and  smolts  released,  such  that  the 
additional  adult  salmon  produced  from  an  increase 
in  smolts  released  is  constant.  The  second  issue  is 
the  relationship  between  the  variability  of  adult  pro- 
duction and  the  number  of  smolts  released.  If,  in 
fact,  increases  in  smolts  increase  the  variability  of 
adults  produced,  fishery  management  strategies  can 
be  improved  by  considering  the  trade-off  between 
the  mean  and  variance  of  adult  salmon  returned 
(Walters  1975;  McCarl  and  Rettig  1983). 

The  empirical  results  of  the  test  of  density  in- 
dependence have  been  mixed.  Nickelson  (1986)  pro- 
vided an  excellent  discussion  of  previous  results 
pertaining  to  the  test  of  density  independence  for 
Oregon  coho  salmon.  In  short,  this  hypothesis  for 
marine  survival  of  Oregon  coho  salmon  is  rejected 
by  McCarl  and  Rettig  (1983)  and  Peterman  and 
Routledge  (1983),  but  accepted  by  Peterman  (1981), 
Clark  and  McCarl  (1983),  and  Nickelson  (1986).  In 
addition,  biologists  in  the  Oregon  Department  of 
Fish  and  Wildlife  have  examined  several  model 
specifications  and  manipulations  in  data  sets  and 


'Department  of  Agricultural  Economics  and  Rural  Sociology, 
University  of  Idaho,  Moscow,  ID  83843. 

^Department  of  Economics,  Loyola  College,  4501  North  Charles 
St.,  Baltimore,  MD  21210-2699.' 


have  drawn  conflicting  conclusions  about  density  in- 
dependence. This  led  McCarl  and  Rettig  to  suggest 
that  conflicting  conclusions  are  caused  by  the  use 
of  different  functional  form  specifications  and  to 
suggest  further  that  resolution  of  the  issue  of  den- 
sity independence  in  Oregon  coho  salmon  requires 
more  refined  data.  In  the  case  of  Hokkaido  chum 
salmon,  the  null  hypothesis  of  density  independence 
fails  to  be  rejected  by  McCarl  and  Rettig. 

Regarding  the  estimation  of  the  variability  of  adult 
salmon  production,  Peterman  (1981)  pointed  out  the 
importance  of  functional  form  specification  and 
argued  for  the  use  of  the  multiplicative-error  model 
rather  than  an  additive-error  model.  McCarl  and 
Rettig  (1983)  demonstrated  that  the  specification  of 
a  multiplicative-error  model  imposes  unwarranted 
restrictions  on  the  estimation  of  the  variability  in 
adult  production.  McCarl  and  Rettig  utilized  the 
specification  developed  by  Just  and  Pope  (1978, 
1979).  As  a  result,  the  variability  in  adult  salmon 
production  is  estimated  and  conflicting  conclusions 
of  the  test  of  density  independence  emerged. 

It  is  apparent  that  functional  form  specification 
is  critical  in  the  test  of  density  independence  and 
the  estimation  of  variability  in  adult  production.  The 
purpose  of  this  paper  is  to  reexamine  these  two 
issues  by  using  the  extended  Box-Cox  flexible  func- 
tional form.  Both  Hokkaido  chum  salmon,  Oncor- 
hynchus keta,  and  Oregon  coho  salmon,  0.  kisutch, 
data  are  used  in  this  study. 

The  next  section  of  the  paper  discusses  the  im- 
portance of  the  functional  form  specification  and 
demonstrates  the  superior  flexibility  of  the  Box-Cox 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


655 


functional  form  compared  with  the  Just-Pope  spe- 
cification used  by  McCarl  and  Rettig  (1983).  The  em- 
pirical results  of  the  Box-Cox  functional  form  are 
then  discussed  and  compared  with  those  of  McCarl 
and  Rettig. 

METHODS 

Previous  findmgs  of  Peterman  (1978,  1981)  in- 
dicate the  importance  of  the  assumption  made 
regarding  error  term  in  testing  the  hypothesis  of 
density  independence.  In  the  process  of  examining 
the  effect  of  the  number  of  released  smolts  on  the 
production  of  adults  and  its  variability,  Peterman 
(1981)  employed  two  alternative  (additive-error  and 
multiplicative-error)  model  specifications  of  the 
error  term: 

^1  =  CjS^^i  +  Vi  .  .  .Additive-error  model  (1) 
Ag  =  C2S''2  expiVo)   ...Multiplicative-error 

model  (2) 

where  A,  =  adult  production  of  salmon  using  spe- 
cification i, 

S    =  number  of  smolts, 

C,   =  survival  rate  parameter  in  model  i, 

/c,  =  density  dependence  parameter  in 
model  i, 

Vi  =  error  term  for  model  i. 

By  applying  these  two  models  to  several  sets  of 
salmon  data,  Peterman  (1981)  concluded  that  the 
multiplicative-error  model  appears  to  generate 
better  statistical  results  than  its  counter  model.  In 
addition,  the  results  of  the  multiplicative-error 
model  suggest  that  an  increase  in  the  number  of 
smolts  will  increase  the  variation  in  total  adult 
returns.  Because  the  variability  in  adult  production 
is  not  only  influenced  by  the  number  of  smolts  but 
also  other  factors  affecting  the  survival  of  smolts 
such  as  the  body  size  of  released  smolts,  Peterman 
(1981)  suggested  that  model  (2)  should  be  modi- 
fied by  including  more  explanatory  variables.  By 
following  Peterman's  suggestion  a  third  model  can 
be  specified  with  the  additional  variable  body  size, 
B: 


A3  =  CgS^sS'^s  exp(y3). 


(3) 


The  mean  and  variance  of  adult  production  for  this 
model  can  be  expressed  as 

E{A^)  =  CsS^sBdsEiexpiVs)) 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 

Var(A3)  =  (C3S^'3B''3)2  Var(exp(y3)). 

The  instantaneous  rates  of  change  in  mean  and 
variance  of  adult  production  with  respect  to  smolt 
body  size  can  be  expressed  as 

dE{A^)ldB  =  d^EiA^yB 

dVar{As)/dB  =  2iYar{A._i)/EiA:^))dE{A:^)/dB. 

If  body  size  of  smolts  is  enlarged,  one  would  ex- 
pect higher  yields,  dE{As)/dB  >  0.  Since  both 
mean  and  variance  are  positive,  the  above  model  im- 
poses a  restriction  that  the  smolt  body  size  has  a 
positive  effect  on  variability,  3Var(A3)/a5  >  0. 
This  restriction  is  unwarranted  because  of  lacking 
theoretical  support;  rather  the  effect  (positive,  nega- 
tive, or  zero)  of  body  size  on  variability  of  adult 
return  should  be  tested  empirically.  For  this  reason, 
McCarl  and  Rettig  (1983)  adopt  a  model  developed 
by  Just  and  Pope  (1978,  1979)  which  can  be  ex- 
pressed as 


A4  =  C,S''iB''i  +  C^S'^^B''^  expiV^) 
=  fiS,B)  +  h'HS,B)  exviV,) 


(4) 


where  h'''{S,B)  is  a  component  of  the  standard 
deviation  of  adult  production  as  shown  below. 

The  mean  and  variance  of  adult  production  for  this 
model  can  be  expressed  as 

EiA^)  =  C.S'^iB'^i  +  C^S''^B''5E{exp{V^)) 

Var(A4)  =  (C5S^-55<5)2Var[exp(l/4)]. 

Because  the  signs  of  d^  and  d^  are  to  be  deter- 
mined in  the  estimation,  the  advantage  of  model  (4) 
over  model  (3)  is  that  it  allows  for  body  size  to  have 
a  positive  effect  on  mean  return  and  unknown 
(positive,  negative,  or  zero)  effect  on  the  variabil- 
ity of  adult  production. 

There  are  problems  inherent  in  model  (4),  how- 
ever, the  first  being  that  this  specification  produces 
a  constant  percentage  change  (^4)  in  adult  produc- 
tion when  the  number  of  smolts  released  changes 
by  1%,  a  constant  output  elasticity,  £„,.  Output 
elasticity  is  an  economic  term  which  is  widely  used 
in  measuring  the  relationship  between  input  (smolt 
release)  and  output  (adult  production)  and  has  the 
advantage  of  being  unit  free.  An  output  elasticity 
of  1.0  means  that  an  increase  in  smolt  release  by 
1%  will  result  in  the  same  percentage  increase  in 


656 


LIN  an-i  WILLIAMS:  INFLUENCE  OF  SMOLT  ON  ADULT  SALMON 


adult  production,  implying  density  independence. 
When  the  hypothesis  of  density  independence  is  re- 
jected, output  elasticity  is  less  than  1.0.  Therefore, 
there  is  an  one-to-one  correspondence  between 
the  hypothesis  of  density  independence  and  the 
value  of  output  elasticity.  The  purpose  of  using 
the  concept  of  output  elasticity  here  is  to  facilitate 
the  discussion  of  the  restriction  inherent  in  model 
(4). 

There  is  no  theoretical  support  for  imposing  the 
restriction  of  constant  output  elasticity,  rather  it 
should  be  treated  as  a  hypothesis  to  be  tested.  More 
important,  body  size  (B)  is  likely  to  have  a  positive 
effect  on  the  output  elasticity,  i.e.,  de^JdE  >  0.  In 
other  words,  when  body  size  of  smolts  is  enlarged, 
the  improved  ability  of  enduring  unfavorable  envi- 
ronmental conditions  should  increase  the  incre- 
mental return  rate  of  adult  salmon.  But,  a  constant 
output  elasticity  implies  that  body  size  and  the  out- 
put elasticity  are  independent. 

The  comparison  between  model  (3)  and  model  (4) 
centers  around  the  role  of  body  size  in  the  variability 
of  adult  production.  However,  data  on  body  size  is 
unavailable  so  that  the  comparison  becomes  em- 
pirically irrelevant.  Consequently,  the  difference 
between  these  two  m.odels,  in  essence,  rests  on 
model  specification.  It  should  also  be  pointed  out 
that  the  estimate  of  h'''{S,B)  is  influenced  by  the 
functional  form  of  f{S,B)  and  vice  versa,  because 
h'-{S,B)  is  the  heteroscedastic  error  term  to  be 
handled  by  the  weighted  least  squares  method.  It 
is,  therefore,  important  to  select  a  more  general 
functional  form  for  the  mean  and  variance  of  adult 
production  in  testing  the  hypothesis  of  density  in- 
dependence and  in  estimating  the  variability  in  adult 
production. 

The  Box-Cox  flexible  functional  form  developed 
by  Box  and  Cox  (1964)  and  extended  by  Zarembka 
(1974)  has  been  a  popular  tool  for  both  discrimi- 
nating among  alternative  functional  forms  and  pro- 
viding added  flexible  form  in  model  specification 
(Moschini  and  Meilke  1984).  The  extended  Box-Cox 
functional  form  for  relating  adult  salmon  produc- 
tion to  smolts  and  other  explanatory  variables  X 
(such  as  upwelling)  can  be  expressed  as 


^<^'  =  a.  +   a,SW  +   a.X'S'  + 


where  A*'*'   = 


S^^^   = 


(A^  - 
In  A 


1)/A 


(5f^^  -  I)/ IX 
In  5 


(5) 

for  A  ?t  0 
for  A  =  0 

for  ^  9^  0 
for  /.i  =  0 


v(e)  ^      i  i^Q  ■ 
\\nX 

e  ~  NID(0,  o2). 


1)1  B 


for  0  ^  0 
for  0  =  0 


Model  (5)  includes  the  linear  (A  =  /.<  =  0  =  1), 
multiplicative-error  or  log-log  (A  =  f^  =  0  =  0),  and 
log-linear  (A  =  0,  /i  =  0  =  1)  functional  forms  as 
special  cases.  Therefore,  models  (3)  and  (4)  are 
special  cases  of  model  (5),  which  allows  both  non- 
constant  output  elasticity  and  nonzero  effect  of  X 
on  the  output  elasticity.^ 

When  the  variability  of  adult  salmon  production 
is  affected  by  the  values  of  its  explanatory  variables, 
the  error  term  has  nonconstant  variance,  i.e., 
heteroscedasticity.  Zarembka  (1974)  demonstrated 
that  while  the  Box-Cox  model  is  fairly  robust  to 
departures  from  normality,  it  is  sensitive  to  hetero- 
scedasticity. Failure  to  correct  for  this  problem  can 
generate  misleading  results  (Lahiri  and  Egy  1981). 
When  heteroscedasticity  is  present,  we  can  also 
specify  a  Box-Cox  functional  form  for  the  variance 
of  the  error  term  in  model  (5)  as  the  following: 


e  ~  NID{Q,  h{S;X)  o|) 
where  h{S^)  =  p^S^'^  +  [i^X^^K 


(6) 


The  parameters,  a,,  /3,,  A,  ^x,  0,  t,  and  ^  can  be 
estimated  by  maximum-likelihood  algorithms  (see 
Appendix  for  a  discussion  of  the  log-likelihood  func- 
tion and  estimation  methods).  The  hypothesis  of  den- 
sity independence  can  be  tested  by  estimating  the 
model  with  the  restriction  that  A  =  fi  =  1  against 
the  unrestricted  model. 


'The  superior  flexibility  of  model  (5)  compared  with  models  (3) 
and  (4)  is  an  important  consideration  in  testing  the  hv'pothesis  of 
density  independence  in  light  of  the  following  remarks  on  the  com- 
parison of  models  (1)  and  (2)  in  Peterman  (1981,  p.  1117): 

"This  is  not  to  say  that  model  2  is  the  'true'  form  of  natural 
variability,  because  there  are  numerous  other  models  that  were 
not  tested  here  (many  of  these  alternatives  cannot  be  tested  in 
practice).  ..." 

We  also  cannot  claim  that  the  extended  Box-Cox  functional  form 
can  produce  the  "best"  or  "true"  functional  form.  There  exist  other 
flexible  functional  forms,  such  as  Fourier  (Gallant  1984),  and  the 
literature  is  silent  in  the  comparison  of  these  flexible  functional 
forms. 

Even  though  the  Box-Cox  functional  form  was  first  proposed 
in  1964,  its  application  and  investigation  of  its  statistical  proper- 
ties have  not  received  much  attention  until  recently.  Therefore, 
there  are  numerous  aspects  of  transformations  that  merit  further 
study  (Box  and  Cox  1982).  Lacking  software  support  also  makes 
its  application  difficult.  Nevertheless,  the  superior  flexibility  of  the 
Box-Cox  functional  form  compared  with  other  functional  forms 
used  traditionally  is  evident  and  its  application  should  be  encour- 
aged. 


657 


FISHERY  BULLETIN:  VOL.  86.  NO.  4 


RESULTS 

In  order  to  test  the  hypothesis  of  density  inde- 
pendence for  salmon  utilizing  the  extended  Box-Cox 
flexible  functional  form,  the  two  data  sets  analyzed 
by  McCari  and  Rettig  (1983)  were  also  used  here. 
The  first  data  set  contains  total  Hokkaido  hatchery 
chum  salmon  fry  releases  and  brood  year  adult 
returns  for  the  years  1950  through  1969  (Moberly 
and  Lium  1977).  The  second  data  set  pertains  to 
Oregon  coho  salmon  for  the  years  1960  through 
1980  (Oregon  Department  of  Fish  and  Wildlife 
1982).  This  latter  data  set  was  also  analyzed  by 
Clark  and  McCarl. 

Hokkaido  Chum  Salmon  Results 

Due  to  the  lack  of  data  on  body  size  and  other 
factors  affecting  the  survival  rate  of  fry,  adult  pro- 
duction (in  thousands)  is  estimated  with  the  single 
explanatory  variable,  number  of  fry  released  (in 
millions).  As  explained  in  the  Appendix,  the  depen- 
dent variable  is  divided  by  its  geometric  mean  of 
3,332,440.  The  iterated  weighted  least  squares 
method  produces  the  following  maximum  log-likeli- 
hood results  with  the  ^statistics  given  in  parenthe- 
ses below  the  coefficients: 

^(-0.4)  ^   _  1,254  -l,756.3S'-i-4)  (7) 

(-4.07)       (4.07) 

R-  =  0.48,    Durbin-Watson  =  1.5,    Log-likelihood 
=   -7.89. 

The  weight  used  to  remove  heteroscedasticity  is 
5(1.06)  ^  (51.06  _  i)/i.o6.  This  implies  that  as  the 
number  of  fry  is  increased  by  1%,  the  standard 
deviation  of  the  adult  production  increases  by  1.06%, 
which  is  much  smaller  than  the  2.5%  reported  by 
McCarl  and  Rettig  (1983). 

The  above  results  suggest  that  the  output  elas- 
ticity" of  fry  is  1,756.3A''^S  "i-^.  When  evaluated  at 
the  mean  values  oiA  and  S  (which  are  1.1278  and 
288.36,  respectively),  a  percentage  increase  in  the 
number  of  fry  increases  the  adult  production  by 
0.66%,  implying  density  dependence.  In  addition, 


^Equation  (7)  can  be  written  as 


{A.-^-^   -    l)/(-0.4)   =    -1254   +    1756.3(S-'-^ 
A-"^"  =  0.8  -h  501.85-^'*. 


l)/(-1.4),  or 

Output   elasticity   £„^    =    (%M)/(%A5)    =    d.A\dS)   {SI A)    = 
l.TSe.SS-^M""  dtJdS  =   -2,458.8S-^-M"'^  <  0. 

658 


this  output  elasticity  is  a  decreasing  function  of  fry 
releases.  In  contrast  to  these  results,  McCarl  and 
Rettig  (1983)  reported  a  constant  output  elasticity 
of  1.09  which  was  not  found  to  be  statistically  dif- 
ferent from  1.0,  supporting  density  independence. 
The  hypothesis  of  density  independence  was  for- 
mally tested  by  estimating  the  linear  relationship 
between  A  and  S  (i.e.,  the  power  transformations 
for  A  and  S  are  restricted  to  be  one)  by  using  the 
weighted  least  squares  method  (S  was  treated  as  the 
weight)  with  the  following  results: 


A  =  0.18  +  0.0034S 
(0.6)        (2.84) 


(8) 


R"  =  0.31,  Durbin-Watson  =  1.04,  Log-likelihood 
=   -12.56. 

The  weighted  least  squares  method  produces  a 
Durbin-Watson  value  of  1.04  which  is  below  the 
lower  limit  of  its  critical  value,  suggesting  the  possi- 
ble existence  of  autocorrelation.  However,  the 
Durbin-Watson  value  is  well  known  to  be  below  the 
lower  limit  (or  above  the  upper  limit)  which  could 
be  the  cause  by  model  misspecification  or  autocorre- 
lated  error  terms.  Because  the  use  of  improper 
functional  form  is  a  model  misspecification,  the 
extended  Box-Cox  functional  form  needs  to  be 
explored  before  assuming  the  existence  of  an 
autocorrelation  problem  in  light  of  low  (or  high) 
Durbin-Watson  statistics.  The  extended  Box-Cox 
results  have  a  Durbin-Watson  statistic  of  1.50  (im- 
plying no  autocorrelation),  and  hence,  it  is  concluded 
that  the  low  Durbin-Watson  value  in  Equation  (8) 
is  a  result  of  incorrect  functional  form.  Since  the 
Durbin-Watson  statistic  is  for  detecting  first-order 
autocorrelation,  the  least  squares  procedure  de- 
scribed in  Pagan  (1974)  was  applied  to  test  higher- 
order  autocorrelation.  It  is  concluded  that  the  Box- 
Cox  results  are  free  from  autocorrelation  problems, 
first  or  higher  orders. 

The  hypothesis  of  density  independence  can  be 
tested  by  comparing  the  log-likelihood  values  of 
Equations  (7)  and  (8).  The  test  statistic  of  twice  the 
difference  between  the  log-likelihood  functions 
under  the  two  specifications  follows  a  chi-square 
distribution  with  the  number  of  degrees  of  freedom 
equal  to  the  number  of  restrictions  (Theil  1971).  This 
test  procedure  is  similar  to  the  Akaike  Information 
Criterion  (Akaike  1974)  and  has  the  advantage  of 
testing  the  significance  of  the  difference  between 
the  log-likelihood  functions  of  different  model  spe- 
cifications. It  is  concluded  that  the  density-indepen- 


LIN  and  WILLIAMS:  INFLUENCE  OF  SMOLT  ON  ADULT  SALMON 


dence  hypothesis  can  be  rejected  at  a  1%  level 
with  a  critical  value  of  9.21  at  2  degrees  of  free- 
dom. 

For  comparison  purposes,  the  Hokkaido  chum 
salmon  data  was  used  to  fit  the  multiplicative-error 
model  (model  (2))  by  applying  the  weighted  least 
squares  method  with  the  following  results: 


ln(A)  =   -3.27  +  0.583  ln(5) 
(2.06)       (2.06) 


(9) 


R-  =  0.19,  Durbin-Watson  =  1.15,  Log-likelihood 
=   -11.22. 

By  comparing  the  values  of  the  log-likelihood  func- 
tion of  Equations  (7)  and  (9),  it  can  be  concluded  that 
the  multiplicative-error  model  can  be  rejected  a  5% 
significance  level.  Even  though  the  multiplicative- 
error  model  produces  a  bigger  log-likelihood  value 
than  the  linear  model,  the  difference  between  these 
two  log-likelihood  values  is  not  statistically  signifi- 


(0 

c 
o 


c 


CD 
(0 

T3 
< 


3  - 


3 

s 

- 

Linear 

Q 

B 

Multiplicative- 

- 

Q 

a 

Error  i   .  .  j__. 

/- 

-^ 

,.^'-"^^-' 

.--      ' 

Box-Cox 

Q 

^^:<:^ 

- 

3    ^ 

^ 

a 

a 

a 

/       a 

I 

s 

1 

1 

a 

1 

1 

Q 

1                         1                          1 

1 

140       190 


240       290       340       390       440 
Fry  Released  (millions) 


490      540 


Figure  1.— Plot  of  Hokkaido  chum  salmon  data  and  estimated  relationships:  1950-1969.    Dots  are  actual  obser- 
vations, linear  model  is  Equation  (8),  multiplicative-error  model  is  Equation  (9),  and  Box-Cox  model  is  Equation  (7). 


659 


FISHERY  BULLETIN:  VOL.  Sfi.  NO.  4 


cant.  Figure  1  shows  the  data  set  with  estimated 
relationships,  Equations  (7)-(9),  superimposed.  It  is 
evident  that  the  Box-Cox  specification  produces  a 
relationship  of  much  bigger  curvature  and  better  fit 
than  the  multiplicative-error  specification. 

Oregon  Coho  Salmon  Results 

McCarl  and  Rettig  (1983)  suggested  that  aggre- 
gated (wild  and  hatchery)  adult  coho  salmon  produc- 
tion (in  thousands)  is  affected  by  smolt  releases  (in 
millions),  S,  and  upwelling  index,  U.  The  flexible 
functional  form  for  Oregon  coho  salmon  can  be  ex- 
pressed as  Equation  (5).  The  model  was  estimated 
by  iterated  ordinary  least  squares  with  the  follow- 
ing maximum  log-likelihood  results: 

A(-o*5)  =-50.08  +  93.715(-20)  +  0.59[/«'<"     (10) 
(-1.17)      (1.08)  (3.37) 

R^  =  0.51,  Durbin-Watson  =  2.07,  Log-likelihood 
=  -1.66. 

To  detect  any  violations  of  the  assumption  regard- 
ing the  homoscedastic  error  term,  a  series  of  tests 
were  conducted  by  running  regressions  of  squared 
residuals  (e-)  or  logs  of  (e-)  on  the  predicted  values 
of  A  or  the  explanatory  variables  S  and  U.  The 
regression  of  e^  on  all  explanatory  variables  is 
known  as  the  Breusch-Pagan-Godfrey  test  and  the 
regression  of  log(e")  on  all  explanatory  variables 
are  known  as  the  Harvey  test  (White  1987).  Five 
tests  were  conducted  using  the  chi-square  distribu- 
tion, and  the  assumption  of  homoscedastic  error  fails 
to  be  rejected  at  a  5%  significance  level.  The  same 
conclusion  is  reached  when  model  (2)  was  fitted  by 
Peterman  (1981).  The  Box-Cox  results  are  also 
found  to  be  free  from  autocorrelation  problems,  first 
or  higher  orders. 

Empirical  results  as  summarized  in  Equation  (10) 
indicate  that  the  number  of  smolt  released  con- 
tributes positively  to  adult  production  at  a  15% 
significance  level.  Upwelling  also  positively  affects 
adult  production  at  a  1%  significance  level.  The  Box- 
Cox  results  produce  a  nonlinear  relationship  be- 
tween adult  production  and  smolt  release  and  an 
output  elasticity  of  less  than  one,  suggesting  that 
the  null  hypothesis  should  be  rejected.  To  formally 
test  the  hypothesis  of  density  independence,  the 
power  transformations  for  A  and  S  are  restricted 
to  be  1.0  and  the  Box-Cox  functional  form  is  re- 
estimated  with  the  following  results: 


A  =   -0.58  +  0.000655  +  0.084[/(''^^'       (11) 
(-1.2)         (0.1)  (3.6) 

R'^  =  OAl,  Durbin-Watson  =  2.09,  Log-likelihood 
=   -6.54. 

By  comparing  the  values  of  the  log-likelihood 
functions  for  Equations  (10)  and  (11)  and  follow- 
ing a  chi-square  test  with  2  degrees  of  freedom,  it 
is  concluded  that  the  hypothesis  of  density  in- 
dependence for  Oregon  coho  salmon  can  be  rejected. 
The  same  conclusion  was  reached  by  Peterman 
and  Routledge  (1983)  and  McCarl  and  Rettig 
(1983). 

CONCLUSION 

The  findings  of  testing  the  hypothesis  of  density- 
independent  marine  survival  for  salmon  and  of  the 
effect  of  the  number  of  smolts  released  on  the  vari- 
ability of  adult  production  have  important  implica- 
tions for  fishery  managers  as  noted  in  the  literature. 
If  the  hypothesis  of  density  independence  fails  to 
be  rejected,  there  is  no  technical  maximum^  for  the 
adult  production  from  releasing  smolts.  A  technical 
maximum  of  adult  production  exists  when  the  num- 
ber of  smolts  has  a  positive  and  decreasing  effect 
on  adult  production.  If  the  variability  of  adult  pro- 
duction is  positively  affected  by  the  number  of 
smolts,  it  will  be  useful  for  fishery  managers  and 
the  fishing  industry  to  know  the  form  of  variability 
to  evaluate  the  effectiveness  of  salmon  hatchery 
operations.  Further,  fishery  managers  can  improve 
management  strategies  by  considering  the  trade-off 
between  the  mean  and  variance  of  adult  production. 
The  hypothesis  of  density  independence  has  been 
tested  extensively  for  different  sets  of  data  with  con- 
flicting results.  Functional  form  selection  and  data 
deficiency  have  been  suggested  as  the  causes  of  con- 
flicting findings. 

Results  of  this  study  confirm  that  functional  form 
selection  is  critical  in  testing  the  hypothesis  of  den- 
sity independence  and  estimating  the  form  of  the 
variability  of  adult  production.  By  using  the  ex- 
tended Box-Cox  functional  form,  it  is  concluded  that 
there  exists  a  density-dependent  relationship  be- 


^A  "technical  maximum"  refers  to  the  maximum  adult  produc- 
tion in  physical  terms.  This  may  not  be  an  appropriate  objective 
for  fishery  managers  to  achieve,  because  the  release  of  smolts  at 
technical  maxima  may  not  generate  maximum  benefits  to  the 
fishing  industry.  Maximization  of  the  return  to  hatchery  operations 
appears  to  be  a  more  suitable  objective  of  a  single-attribute  model 
to  be  accomplished  without  considering  the  risk  factor. 


660 


LIN  and  WILLIAMS:  INFLUENCE  OF  SMOLT  ON  ADULT  SALMON 


tween  the  adult  production  and  the  number  of  chum 
salmon  fry  released  in  Hokkaido.  Also,  as  the  num- 
ber of  fry  increases,  the  variability  in  adult  produc- 
tion increases  as  well.  The  results  reported  by 
McCarl  and  Rettig  (1983),  using  the  Just-Pope 
specification  (a  special  case  of  extended  Box-Cox), 
conclude  that  the  hypothesis  of  density  indepen- 
dence fails  to  be  rejected  and  the  effect  of  the 
number  of  fry  on  the  variability  of  adult  production 
is  more  than  twice  that  of  this  study.  The  Box-Cox 
results  of  aggregated  Oregon  coho  salmon  also  in- 
dicate density  dependence,  and  the  same  conclusion 
is  also  reached  by  McCarl  and  Rettig  (1983)  and 
Peterman  and  Routledge  (1983).  Because  Nickelson 
(1986)  reached  a  different  conclusion  using  disag- 
gregated data,  the  use  of  the  extended  Box-Cox 
specification  to  analyze  disaggregated  data  for 
Oregon  coho  salmon  is,  therefore,  recommended  by 
the  authors  as  a  possible  research  need.  However, 
partitioning  the  data  set  according  to  high  and  low 
upwelling,  for  example,  will  lead  to  the  problem  of 
insufficient  degrees  of  freedom,  as  pointed  out  by 
an  anonymous  reviewer.  This  can  be  overcome  only 
after  a  sufficient  number  of  years  of  data  collection 
have  transpired.  Finally,  data  reliability  needs  to  be 
secured  before  the  selection  of  functional  form  can 
improve  our  understanding  of  this  issue. 

ACKNOWLEDGMENTS 

This  work  is  the  result  of  research  sponsored 
by  the  Alaska  Sea  Grant  College  Program,  coop- 
eratively supported  by  the  U.S.  Department  of 
Commerce,  NOAA  Office  of  Sea  Grant  and  Extra- 
Mural  Program,  under  grant  number  NA86AA- 
D-SG041,  project  number  R/14-09;  and  by  the 
University  of  Idaho  with  funds  appropriated  by  the 
state. 


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Gallant,  R. 

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Oregon  Department  of  Fish  and  Wildlife. 

1982.  Comprehensive  plan  for  production  and  management 
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Pagan,  A.  R. 

1974.  A  generalized  approach  to  the  treatment  of  autocorre- 
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Peterman,  R.  M. 

1975.  "Ocean  effects"  in  salmon.  PR-3  Inst.  Resour.  EcoL, 
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1978.  Testing  for  density  dependent  marine  sur\'ival  in 
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Peterman,  R.  M.,  and  R.  D.  Routledge. 

1983.  Experimental  management  of  Oregon  coho  salmon  (On- 
corhynchus kisutch):  designing  for  yield  of  information. 
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Seaks,  T.  G.,  and  S.  K.  Layson. 

1983.  Box-Cox  estimation  with  standard  econometric  prob- 
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1982.  A  primer  on  Box-Cox  estimation.  Rev.  Econ.  Stat. 
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APPENDIX 


Because  the  estimation  of  the  extended  Box-Cox  functional  form  is  carried  out  by  max- 
imum likelihood  procedures,  the  log-likelihood  function  for  the  extended  Box-Cox  func- 
tional form  and  estimation  methods  are  briefly  presented  in  this  appendix. 

Under  the  assumptions  that  S  and  B  are  nonstochastic  and  the  error  term  is  normally 
and  independently  distributed  with  zero  mean  and  constant  variance,  aj,  the  log-likelihood 
function  of  model  (5)  can  be  expressed  following  Spitzer  (1982): 

Lia,  A,  M,  e,  o\)  =   -T/2(ln  2n  +  In  o^)  -  i2af)-He'e)  +  (A  -  1)2  In  A  (12) 

where  T  is  the  number  of  observations.  To  reduce  the  dimension  of  the  estimation  prob- 
lem, the  parameter  Oj  can  be  eliminated  from  Equation  (12)  to  derive  the  concentrated 
log-likelihood  function  as  follows: 

L{q,  a,  ^i,  6)  =   -r/2(ln  2n  +  In  d^)  +  (A  -  1)1  In  A 

where  o'l  =  {llT)e  e. 

When  heteroscedasticity  is  present,  the  concentrated  log-likelihood  function  for  model 
(5)  and  the  error  term  expressed  in  model  (6)  can  be  expressed  as 

L{a,  A,  M,  Q)  =   -T/2(ln  2ti  +  In  d^  +  1) 

-  I  In  (/?i  +  /J.S'^'  +  /?35'«')  +  (A  -  1)2  In  A  (14) 

where  d'^  =  (l/T)e'V~^e  and  F  is  a  nxn  matrix  (n  is  the  number  of  observations)  in  which 
off-diagonal  elements  are  zeros  and  diagonal  elements  are  /?i  -i-  P-yS^^^  +  P^B'^l 

The  maximum  log-likelihood  parameter  estimates  for  (a,  A,  /u,  6,  and  ft)  can  be  obtained 
by  nonlinear  least  squares  methods  or  iterated  ordinary  (weighted)  least  squares  procedures. 
Seaks  and  Layson  (1983)  provide  an  example  of  the  iterated  ordinary  (weighted)  least 
squares  method  using  the  Time  Series  Processor  (TSP)  computer  package  for  estimating 
Box-Cox  flexible  functional  form  with  standard  econometric  problems;  i.e.,  heteroscedas- 
ticity and  autocorrelation. 

As  Spitzer  (1984)  pointed  out,  the  ordinary  least  squares  method  underestimates  the 
variance  of  the  error  term  while  the  first  derivative  only  gradient  estimation  methods  (e.g., 
Marquardt)  overestimate  the  variance.  In  order  to  compress  the  range  of  under-  and 
overestimation  of  the  error  variance,  Spitzer  suggested  that  the  dependent  variable  be 
divided  by  its  geometric  mean.  This  scaling  process  will  then  eliminate  the  last  term  in 
the  concentrated  log  likehhood  function  in  Equations  (12)-(14). 


662 


AGE,  MORPHOLOGY,  DEVELOPMENTAL  BIOLOGY,  AND 

BIOCHEMICAL  GENETIC  VARIATION  OF  YUKON  RIVER  FALL 

CHUM  SALMON,  ONCORHYNCHUS  KETA,  AND  COMPARISONS  WITH 

BRITISH  COLUMBIA  POPULATIONS 

Terry  D.  Beacham,  Clyde  B.  Murray,  and  Ruth  E.  Withler^ 

ABSTRACT 

Fall  chum  salmon,  Oncorhynchtis  keta,  populations  spawning  in  the  Yukon  River  drainage  were  surveyed 
for  variation  in  age,  size  and  shape  at  maturity,  developmental  biology,  and  biochemical  genetics.  Yukon 
River  fall  chum  salmon  matured  at  older  ages  and  smaller  sizes  than  chum  salmon  in  British  Columbia. 
They  also  had  proportionately  smaller  heads,  thinner  caudal  peduncles,  and  smaller  fins  than  British 
Columbia  chum  salmon,  perhaps  illustrating  morphometric  adaptation  to  long  distance  freshwater  migra- 
tion. Yukon  River  chum  salmon  were  less  fecund  and  had  smaller  eggs  than  those  in  British  Columbia, 
and  they  also  tended  to  have  faster  development  to  alevin  hatching  and  fry  emergence  than  most  British 
Columbia  populations.  Maximum  alevin  and  fry  size  of  Yukon  River  salmon  occur  at  lower  water 
temperatures  during  development  than  for  most  British  Columbia  populations,  possibly  indicating  a 
developmental  adaptation  to  low  winter  water  temperatures.  Genetic  differentiation  among  chum  salmon 
populations  in  the  Yukon  River  drainage  was  observed. 


The  Yukon  River  is  a  major  North  American  river, 
originating  in  British  Columbia  and  flowing  over 
3,200  km  through  the  Yukon  Territory  and  Alaska 
to  the  Bering  Sea,  and  draining  an  area  of  approx- 
imately 860,000  km".  Five  species  of  Pacific  salmon 
(Oncorhynchus)  occur  in  the  Yukon  River  (Gilbert 
1922),  but  chinook,  0.  tshawytscha,  and  chum 
salmon,  0.  keta,  are  the  most  abundant  and  are  ex- 
ploited in  commercial  and  subsistence  fisheries 
(McBride  et  al.  1983).  Chum  salmon  in  the  Yukon 
River  are  characterized  by  distinct  seasonal  races 
(Gilbert  1922).  The  early-maturing  or  "summer" 
chum  salmon  return  to  the  Yukon  River  between 
early  June  and  mid-July  and  spawn  in  the  lower  800 
km  of  the  drainage  (Buklis  1981).  Later-maturing 
or  "fall"  chum  salmon  enter  the  Yukon  River  from 
mid-July  through  late  August  and  spawn  in  the 
up-river  portions  of  the  drainage,  migrating  as  far 
as  2,800  km  upstream  (Milligan  et  al.  1986).  Fall 
chum  salmon  are  also  larger  than  summer  chum 
salmon  (Buklis  1981;  Buklis  and  Barton  1984),  and 
generally  have  higher  fecundity  and  younger  age 
compositions  than  summer  chum  salmon  (Sano 
1966). 


'Department  of  Fisheries  and  Oceans,  Biological  Sciences 
Branch,  Pacific  Biological  Station,  Nanaimo,  British  Columbia, 
Canada  V9R  5K6. 


Chum  salmon  generally  spawn  in  rivers  only  a 
short  distance  from  salt  water  (<200  km),  a  trait 
very  different  from  the  long  distance  freshwater 
migrations  of  Yukon  River  fall  chum  salmon.  Yukon 
River  fall  chum  salmon  are  noted  for  their  high  oil 
content  upon  entering  the  river  (Gilbert  1922),  an 
adaptation  necessary  to  provide  sufficient  energy 
reserves  for  the  freshwater  migration,  as  in  Amur 
River  chum  salmon  in  the  Soviet  Union  (Nikol'skii 
1961).  Adaptations  in  other  biological  characters 
may  reflect  the  environmental  conditions  experi- 
enced by  Yukon  River  fall  chum  salmon.  Thus  we 
examined  the  variation  in  life  history  traits  of  Yukon 
River  fall  chum  salmon,  and  compared  this  varia- 
tion to  that  found  in  chum  salmon  in  British 
Columbia. 

In  1984,  we  began  a  survey  of  variation  in  bio- 
logical characters  of  fall  chum  salmon  in  the  Yukon 
River.  Regional  biochemical  genetic  variation  had 
previously  been  reported  for  chum  salmon  in  British 
Columbia  (Beacham  et  al.  1987),  and  we  investigated 
the  biochemical  genetic  differentiation  of  Yukon 
River  fall  chum  salmon.  We  had  previously  exam- 
ined the  adaptive  nature  of  the  variation  in  some 
morphometric  and  life  history  traits  of  chum  salmon 
in  British  Columbia  (Beacham  and  Murray  1987)  and 
used  this  for  comparison  for  Yukon  River  fall  chum 
salmon. 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN;  VOL.  86,  NO.  4,  1988. 


663 


FISllKKV  Kl'LLETIN:  VOL.  Hti.  NO.  4 


METHODS  AND  MATERIALS 

Age  and  Morphology 

Chum  salmon  were  collected  with  gill  nets.  After 
capture  in  1984,  postorbital-hypural  length  (Vlady- 
kov  1962),  caudal  peduncle  depth,  and  length  of  the 
base  and  height  of  the  anal  and  dorsal  fins  were  all 
recorded  on  the  left  side  in  the  field  to  the  nearest 
millimeter.  The  number  of  gill  rakers  on  the  left 
anterior  arch  was  recorded,  as  well  as  the  number 
of  branchiostegal  rays  on  the  left  side.  Five  scales 
and  two  otoliths  were  collected  from  each  individual 
for  age  determination,  and  the  sex  of  an  individual 
was  confirmed  by  internal  inspection.  When  the  age 
of  an  individual  estimated  from  scales  and  from 
otoliths  disagreed,  the  age  determined  from  scales 
was  assigned.  In  1985,  only  postorbital-hypural 
length  and  sex  were  recorded  for  individuals,  and 
only  scales  were  collected  for  age  determination. 

Population  differences  and  sexual  dimorphism  in 
the  meristic  characters  were  examined  by  two-way 
analysis  of  variance,  with  population  and  sex  as  the 
indices.  Population  is  used  in  the  manner  as  de- 
scribed by  Ricker  (1972),  as  a  group  of  fish  spawn- 
ing in  a  particular  river  at  a  particular  season,  and 
there  is  no  substantial  interbreeding  with  another 
group  spawning  in  a  different  river.  Morphometric 
measurements  of  both  males  and  females  were  stan- 
dardized to  a  postorbital-hypural  length  of  520  mm 
by  the  method  outlined  by  Beacham  and  Murray 
(1983): 


M,  =  M„ 


L.. 


L  = 


L  = 


where    M,  =  size  of  standardized  morphometric 
character, 
M„  =  observed  character  size, 

length  that  characters  are  standard- 
ized to  (520  mm), 

observed  postorbital-hypural  length, 
and  b  is  the  regression  coefficient  of 
log^  M„  on  logp  Lj,  (stocks  and  sexes 
separate). 

Two-way  analysis  of  variance  was  again  used  to  ex- 
amine population  differences  and  sexual  dimorphism 
in  the  morphometric  characters. 

Developmental  Biology 

We  estimated  fecundity  of  Yukon  River  chum 
664 


salmon  by  collecting  and  freezing  both  ovaries  from 
14  females  in  the  Dawson  City  commercial  fishery 
in  1985  (we  also  collected  length  and  scales);  we 
subsequently  thawed  both  ovaries  and  made  tot;vl  egg 
counts  for  each  female.  The  methodology  of  the 
survey  of  developmental  biology  was  similar  to  that 
outlined  by  Beacham  and  Murray  (1987).  Gametes 
were  collected  from  five  male  and  five  female  Kluane 
River  chum  salmon  on  17  October  1985.  The  gametes 
were  then  shipped  to  the  laboratory  on  ice,  the  eggs 
fertilized  at  8°C,  and  then  subsequently  reared  in 
controlled  water  temperatures  of  4°,  8°,  and  12°C 
in  vertical  stack  incubators.  Five  full-sib  families 
were  obtained  from  the  crosses,  with  each  family 
replicated  in  each  incubator.  Water  temperatures 
were  recorded  daily,  and  mean  temperatures  in  the 
incubators  during  the  study  were  4.1°  (SD  =  0.29), 
8.0°  (SD  =  0.44),  and  12°C  (SD  =  0.40),  respectively. 

Egg  diameter  (millimeters)  and  weight  (milli- 
grams) for  each  female  were  determined  from  30 
water-hardened  eggs  preserved  for  at  least  3  months 
in  10%  formalin.  During  incubation,  dead  eggs  were 
removed  from  each  family,  stored  in  Stockard's  solu- 
tion, and  later  inspected  to  remove  unfertilized  eggs. 
Egg  survival  rates  were  then  calculated  based  upon 
the  number  of  eggs  initially  fertilized.  Once  hatch- 
ing began  in  each  family,  we  recorded  the  number 
of  newly  hatched  alevins  daily,  and  within  1  day  of 
50%  hatching  we  anesthetized  and  preserved  30  per 
family  in  10%  formalin  for  subsequent  determina- 
tion of  alevin  length  and  weight.  Fork  length  was 
recorded  to  the  nearest  0.1  mm,  total  weight  re- 
corded to  the  nearest  milligram,  the  yolk  separated 
from  the  rest  of  the  body  and  weighed  (milligrams), 
and  then  tissue  weight  (milligrams)  determined  by 
subtraction.  Dead  alevins  were  also  removed  and 
counted  in  order  to  determine  alevin  survival  rates. 
The  timing  of  fry  emergence  (swim-up)  for  each 
family  was  determined  by  placing  the  alevins  in  an 
emergence  trap  modified  from  Mason  (1976),  where 
the  alevins  were  classified  as  newly  emergent  fry 
only  when  they  became  neutrally  buoyant  and 
positively  phototactic  When  50%  of  the  fry  from  a 
particular  family  had  emerged,  all  of  the  family  re- 
maining in  the  incubator  was  anesthetized  and  then 
preserved  in  10%  formalin,  and  30  fry  were  random- 
ly drawn  from  the  preserved  samples  and  fry  length 
and  weight  determined  as  for  alevins. 

Variation  in  egg  size  was  analyzed  with  a  one-way 
(female  was  the  index)  analysis  of  variance.  Varia- 
tion in  survival  rates  was  analyzed  by  first  determin- 
ing survival  rates  for  each  group  as  proportions  and 
then  transforming  them  to  radians  with  the  arcsine 


BEACHAM  ET  AL.:  YLKON  RIVER  CHUM  SALMON  POPULATION 


square  root  transformation  to  normalize  the  data. 
We  then  used  an  analysis  of  variance  model: 

Y,jki  =  ^^  +  T,  +  Fj  +  TF,j  +  R^ji,  +  e.^ki 

where    i^,jA-/  =  transformed  survival  rate, 

yi        =  overall  mean, 

Tj  =  fixed  effect  of  temperature  {i  = 
1-3), 

Fj       =  random  effect  of  family  (j  =  1-5), 

TFij  =  random  interaction  between  tem- 
perature and  family, 

R^Jl^  =  random  effect  of  replicate  {k  = 
1-2),  and 

e-j./  =  error  term  for  l\h  observation  in 
subgroup  ijk. 

Variation  in  alevin  and  fry  size  characters  was  ana- 


lyzed with  the  same  model.  Satterthwaite's  (1946) 
approximation  was  necessary  to  calculate  an  appro- 
priate mean  square  to  test  the  effect  of  family. 

Biochemical  Genetics 

Biochemical  genetic  sampling  began  on  Canadian 
populations  in  1984  and  was  expanded  in  1985  to 
include  United  States  populations  (Fig.  1).  Method- 
ology of  sample  collection  has  been  outlined  by 
Beacham  et  al.  (1985).  Summarized  briefly,  heart, 
liver,  and  muscle  samples  were  collected  from  adult 
chum  salmon,  frozen,  and  stored  at  -  20°C  for  later 
electrophoretic  analysis  by  a  consultant.  We  verified 
the  scoring  of  all  gels  from  a  complete  photographic 
record.  Horizontal  starch  gel  electrophoresis,  de- 
scribed by  Utter  et  al.  (1974),  was  used  to  detect 
protein  variation.  The  loci  and  buffer  systems  used 


n — 

150° 


180° 


170° 


160° 


140= 


130° 


70° 


BEAUFORT 
SEA 


0     100  500 

kilometres 


-65° 


-60° 


NORTON 
SOUND 


J_ 


Figure  1.— Locations  in  Yukon  River  drainage  where  chum  sahiion  were  sampled  during  1984-1986.  Listed  in  ascending 
order  are  (l)Teshn  River.  (2)  Kluane  River,  (3)  Koidern  River,  (4)  Yukon  River  at  Minto,  (5)  Dawson  City,  (6)  Fishing 
Branch  River,  (7)  Porcupine  River  at  Old  Crow,  (8)  Sheenjek  River,  (9)  Chandalar  River,  (10)  Delta  River,  (ll)Toklat 
River,    (12)  Yukon  River  at  Emmonak. 


665 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


are  outlined  in  Beacliam  et  al.  (1985).  Lgg  was  re- 
named as  Tapep  and  was  scored  as  a  four-allele  locus 
(L.  Seeb^)  (although  only  three  were  present  in  the 
stocks  we  surveyed)  on  both  a  Tris-boric  acid-EDTA 
buffer  described  by  Markert  and  Faulhaber  (1965) 
and  an  amine  citrate  buffer  described  by  Clayton 
and  Tretiak  (1972).  Me  was  renamed  as  MdhP,  6-Pg 
as  Pgdh,  Pmi  as  Mpi,  and  Agp  as  GSpdh. 

We  determined  allelic  frequencies  for  each  locus 
by  summing  the  numbers  of  each  allele  and  dividing 
by  the  total  number  of  alleles  counted.  Genotypic 
frequencies  at  each  polymorphic  locus  in  each  popu- 
lation were  tested  for  departures  from  Hardy- 
Weinberg  equilibrium  by  chi-square.  We  used  the 
log-likelihood  ratio  statistic  (G-test)  (Sokal  and  RohLf 
1969)  to  test  equality  of  allelic  frequencies  between 
countries,  among  populations  within  countries,  and 
between  years  for  samples  taken  from  the  same 
population.  An  approximate  i^-ratio  (G-statistic 
summed  over  all  loci/degrees  of  freedom)  was  used 
to  test  the  relative  magnitude  of  the  sources  of  varia- 
tion. We  calculated  genetic  distance  among  popula- 
tions using  Nei's  (1978)  statistic  and  the  7  loci  in- 
dicated in  Table  7  and  constructed  a  denogram  from 
the  matrix  of  the  distances  using  the  unweighted 
pair  group  mean  method  of  Sneath  and  Sokal  (1973). 

RESULTS 

Age  and  Morphology 

Age  of  Maturity 

The  dominant  age  of  maturity  for  fall  chum 
salmon  returning  to  Canadian  rivers  during  1984 
and  1985  was  four  years,  with  age  3  and  age  5  chum 
salmon  each  comprising  less  than  15%  of  the  total 
return  (Table  1).  The  proportion  of  chum  salmon 
returning  at  three  or  five  years  of  age  varied  an- 
nually within  a  population,  possibly  reflecting  dif- 
ferent production  from  the  respective  brood  years. 
Yukon  River  chum  salmon  matured  at  a  significantly 
older  age  than  chum  salmon  in  British  Columbia 
(Xz^  =  193.9,  P  <  0.01),  but  four  years  was  the 
dominant  age  of  maturity  in  both  areas.  Of  227  chum 
salmon  sampled  in  1984  from  which  age  could  be 
determined  from  both  otoliths  and  scales,  the  same 
age  was  recorded  in  184  (83%)  of  the  cases.  For  the 
43  other  fish,  the  age  estimated  from  scales  was  one 
year  older  than  that  estimated  from  otoliths  in  22 
cases,  whereas  in  the  remaining  21  fish,  the  age 


estimated  from  otoliths  was  either  one  year  (19 
cases)  or  two  years  (2  cases)  older  than  that  esti- 
mated from  scales.  In  1984,  age  could  not  be  deter- 
mined from  16%  (48  fish)  of  the  scales  collected  and 
9%  (26  fish)  of  the  otoliths  collected.  In  1985,  age 
could  not  be  determined  from  18%  (124  fish)  of  the 
scales  examined  due  to  scale  resorption.  Age  of 
maturity  was  more  likely  to  be  determined  from 
otoliths  than  from  scales. 


Table  1 . — Percentage  of  chum  salmon  returning  at  ages  3-5  years 
and  mean  age  of  return  for  Yukon  River  populations  sampled  on 
thie  spawning  grounds  during  1984-85.  The  mean  for  British 
Columbia  chum  salmon  was  derived  from  Beacham  and  Murray 
(1987). 


Year 

N 

Age  (yr) 

Mean 

Population 

3 

4 

5 

age 

(yr) 

Yukon  River 

Kluane 

1984 

100 

16.0 

78.0 

6.0 

3.90 

1985 

96 

29.2 

70.8 

0.0 

3.71 

Total 

196 

22.4 

74.5 

3.1 

3.81 

Minto 

1984 

100 

13.0 

69.0 

18.0 

4.05 

1985 

99 

25.3 

72.7 

2.0 

3.77 

Total 

199 

19.1 

70.9 

10.0 

3.91 

Fishing  Branch 

1984 

100 

14.0 

82.0 

4.0 

3.90 

1985 

77 

1.3 

72.7 

26.0 

4.25 

Total 

177 

8.5 

78.0 

13.5 

4.05 

Porcupine 

1985 

67 

1.5 

85.1 

13.4 

4.12 

Teslin 

1985 

64 

0.0 

56.3 

43.7 

4.44 

Koidern 

1985 

81 

0.0 

74.1 

25.9 

4.26 

Total 

Mean 

784 

12.5 

73.7 

13.8 

4.01 

British  Columbia 

Total 

Mean 

1 1 ,749 

32.4 

62.1 

5.5 

3.73 

^University   of   Idaho,    Moscow,    ID   83843,    pars,    commun. 
December  1985. 


Meristics 

No  sexual  dimorphism  was  observed  in  the  num- 
ber of  gill  rakers  or  branchiostegal  rays  (P  >  0.05). 
No  population  differences  in  gill  raker  number  were 
observed  (P  >  0.05),  but  significant  differences 
among  populations  were  observed  in  branchiostegal 
ray  number  (^2,297  =  4.36,  P  <  0.05).  The  popula- 
tion with  the  greatest  number  of  gill  rakers  (Fishing 
Branch)  also  had  the  greatest  number  of  branchi- 
ostegal rays  (Table  2).  Yukon  River  chum  salmon 
had  more  gill  rakers  and  branchiostegal  rays  than 
the  average  British  Columbia  chum  salmon. 

Morphometry 
Yukon  River  male  chum  salmon  were  longer  than 


666 


BEACHAM  ET  AL.:  VIKON  FilVKR  CHUM  SALMON  POPULATION 


females  at  all  ages  examined  (P  <  0.05)  (Table  3). 
Although  there  could  be  significant  variation  in 
mean  length-at-age  among  populations  (P  <  0.05), 
Yukon  River  chum  salmon  were  substantially 
smaller  than  chum  salmon  of  the  same  age  spawn- 
ing in  British  Columbia  {P  <  0.05).  Size  differences 
between  Yukon  River  and  British  Columbia  chum 
salmon  increase  with  age,  with  age  3  Yukon  River 
males  94%  of  the  length  of  age  3  British  Columbia 
males,  but  age  5  Yukon  River  males  are  86%  of  the 
length  of  their  British  Columbia  counterparts.  Sim- 
ilar results  were  also  observed  for  females. 

We  examined  whether  there  was  any  differen- 
tiation of  selected  morphometric  characters  with 
respect  to  sexual  dimorphism  or  distance  of  fresh- 
water migration.  With  the  morphometric  measure- 
ments of  both  males  and  females  standardized  to  a 
postorbital-hypural  length  of  520  mm,  males  had 
longer  postorbital  head  lengths,  thicker  caudal 
peduncles,  longer  base  length  of  the  dorsal  fin,  and 
longer  dorsal  and  anal  fins  (all  P  <  0.05)  (Table  4). 
No  sexual  dimorphism  in  base  length  of  the  anal  fin 


was  observed.  Significant  population  differences  in 
the  relative  sizes  of  the  morphometric  characters 
were  also  observed,  with  the  Kluane  River  popula- 
tion having  the  relatively  smallest  characters,  and 
the  P'ishing  Branch  River  population  having  the  pro- 
portionately largest  characters. 

Substantial  differences  exist  in  length  of  fresh- 
water migration  between  Yukon  River  fall  chum 
salmon  and  chum  salmon  in  British  Columbia.  The 
relative  sizes  of  the  morphometric  characters  ex- 
amined are  all  smaller  for  Yukon  River  chum  salmon 
than  for  chum  salmon  in  British  Columbia  (Table  4), 
perhaps  illustrating  morphometric  adaptation  of 
Yukon  River  chum  salmon  to  the  long  freshwater 
migration. 

Developmental  Biology 

Fecundity  and  Egg  Size 

The  fecundity-length  relationship  for  14  female 
chum  salmon  is  described  by 


Table  2.— Mean  number  of  gill  rakers  on  left  anterior  gill  arch 
and  mean  number  of  branchiostegal  rays  on  left  side  for  Yukon 
River  fall  chum  salmon  sampled  during  1984.  Standard  error 
of  mean  is  in  parentheses.  One  hundred  fish  were  sampled 
per  population.  Data  for  9,206  British  Columbia  chum  salmon 
are  from  Beacham  and  Murray  (1987). 


F  =  0.100  L 


L60 


Population 

Gill  rakers 

Branchiostegal  rays 

Yukon  River 

Kluane 

22.88  (0.10) 

13.72  (0.07) 

Minto 

22.90  (0.09) 

13.58  (0.08) 

Fishing  Branch 

23  13  (0.09) 

13.89  (0.07) 

Mean 

22.97  (0.05) 

13.73  (0.04) 

British  Columbia 

Mean 

22.62  (0.01) 

13.42  (0.01) 

where  F  =  number  of  eggs  and  L  is  postorbital- 
hypural  length  (mm).  Mean  fecundity  of  age  4 
females  was  2,271  eggs  (SD  =  208,  n  =  7),  and  that 
of  age  5  females  was  2,451  eggs  (SD  =  106,  n  =  3). 
Mean  egg  weight  of  the  five  Kluane  River  females 
used  in  the  study  of  developmental  biology  ranged 
from  145  mg  (SD  =  6  mg)  to  210  mg  (SD  =  5  mg). 
Mean  diameters  ranged  from  6.66  mm  (SD  =  0.21 
mm)  to  7.25  mm  (SD  =  0.18  mm).  Mean  egg  size 
of  Yukon  River  chum  salmon  is  substantially  smaller 
than  the  mean  weight  of  290  mg  and  mean  diam- 
eter of  8.39  mm  for  egg  size  of  chum  salmon  in 


Table  3. — Mean  postorbital-hypural  length-at-age  (mm)  for  chum  salmon  sampled  on  the  spawning  grounds  during 
1984-85.  Sample  sizes  are  given  in  parentheses.  The  mean  length-at-age  for  British  Columbia  chum  salmon  was 
derived  from  Beacham  and  Murray  (1987). 


Male 

!  age 

Female  age 

Population 

3 

4 

5 

3 

4 

5 

Yukon  River 

Kluane 

509 

(19) 

516 

(59) 

556 

(4) 

490 

(25) 

501 

(87) 

526 

(2) 

Minto 

525 

(13) 

528 

(46) 

541 

(8) 

509 

(25) 

516 

(95) 

525 

(12) 

Fishing  Branch 

477 

(5) 

524 

(64) 

548 

(5) 

487 

(10) 

504 

(74) 

519 

(19) 

Porcupine 

541 

(41) 

546 

(4) 

462 

(1) 

514 

(16) 

531 

(5) 

Teslln 

521 

(17) 

521 

(14) 

492 

(19) 

506 

(14) 

Koidern 

510 

(29) 

514 

(10) 

468 

(31) 

503 

(11) 

Mean 

510 

(37) 

524 

(256) 

531 

(45) 

497 

(61) 

505 

(322) 

515 

(63) 

British  Columbia 

Mean 

543 

(1974) 

595 

(3186) 

621 

(344) 

532 

(1357) 

579 

(2879) 

605 

(255) 

667 


FISHERY  BILLETIN:  VOL.  88.  NO.  4 


Table  4.— Mean  measurements  (mm)  for  six  morphometric  characters  for  cfium  salmon 
sampled  during  1984.  Measurements  for  each  individual  were  standardized  to  a  postorbital- 
hypural  length  of  520  mm.  Standard  deviations  are  indicated  in  parentheses  The  size 
(%)  of  each  standardized  character  relative  to  body  length  is  indicated  for  both  Yukon 
and  British  Columbia  chum  salmon.  Data  for  4,862  male  and  4,044  female  British  Colum- 
bia chum  salmon  were  standardized  to  600  mm  postorbital-hypural  length  and  were  derived 
from  Beacham  and  Murray  (1987). 


Fishing 

%  of  length 

Kluane 

Minto 

Branch 

Yukon 

B.C. 

Males 

Head  length 

79.4  (4.3) 

80.7  (3.3) 

81.3  (2.9) 

15.48 

16.02 

Caudal  peduncle 

39.9  (2.8) 

41.5  (2.3) 

41.2  (2.5) 

7.85 

8.37 

Anal  fin  base 

67.4  (4.4) 

70.0  (3.5) 

69.3  (4.4) 

13.25 

13.68 

Anal  fin  height 

57.8  (3.9) 

59.5  (3.1) 

58.7  (4.5) 

11.28 

11.65 

Dorsal  fin  base 

62.9  (5.6) 

66.1  (4.0) 

63.9  (4.6) 

12.34 

13.01 

Dorsal  fin  height 

88.1  (6.2) 

90.2  (5.4) 

92.0  (5.6) 

17.33 

17.64 

Sample  size 

37 

32 

39 

Females 

Head  length 

73.5  (4.3) 

74.7  (4.0) 

76.3  (3.5) 

14.38 

14.64 

Caudal  peduncle 

37.7  (3.1) 

38.9  (3.3) 

39.5  (2.2) 

7.44 

8.06 

Anal  fin  base 

67.8  (5.2) 

68.0  (4.8) 

68.8  (4.8) 

13.12 

13.79 

Anal  fin  height 

56.0  (4.0) 

57.6  (4.8) 

58.0  (4.5) 

11.00 

11.65 

Dorsal  fin  base 

58.2  (4.1) 

58.4  (4.4) 

59.1  (4.4) 

11.26 

11.79 

Dorsal  fin  height 

79.8  (6.5) 

82.7  (5.3) 

84.4  (5.4) 

15.83 

16.24 

Sample  size 

63 

68 

61 

British  Columbia  (Beacham  and  Murray  1987). 

Survival  Rates 

Embryo  survival  rates  were  lowest  at  a  4°C  incu- 
bation temperature  and  highest  at  12 °C,  with  sig- 
nificant differences  observed  among  incubation 
temperatures  {P  <  0.05)  (Table  5).  Significant  dif- 
ferences were  also  observed  in  embryo  survival  rates 
among  families  (P  <  0.0),  but  not  between  replicates 
within  families  (P  >  0.10).  An  interaction  between 
family  and  incubation  temperature  occurred  (P  < 
0.01),  illustrating  that  trends  in  embryo  survival 
with  respect  to  incubation  temperature  were  not  the 
same  for  all  families. 

Alevin  survival  rates  were  uniformly  high  (Table 
5),  with  no  significant  difference  observed  among 
temperatures,  among  families,  or  between  replicates 
within  families.  The  interaction  between  family  and 
incubation  temperature  also  occurred  for  alevin  sur- 
vival rates  (P  <  0.05). 


Table  5. — Survival  rates  of  embryos  and  alevins  for  Kluane  River 
chum  salmon  maintained  at  constant  water  temperatures  of  4°, 
8°,  and  12°C.  Time  of  50%  hatching  (days)  of  the  alevins  and  50% 
emergence  (days)  of  the  fry  is  also  indicated.  N  is  number  of  fer- 
tilized eggs  (for  embryo  survival  rates)  or  alevins  hatched  (for  alevin 
survival  rates).  Standard  deviations  of  50%  hatching  and  emer- 
gence times  are  in  parentheses. 


Time  to 

Temperature 

Survival 

50%  hatching 

(°C) 

N 

rate 

or  emergence 

Embryos 

4.1  (0.28) 

2,172 

0.767 

113.9  (2.3) 

8.0  (0.21) 

2,387 

0.906 

65.7  (0.6) 

12.0  (0.35) 

2,432 

0.955 

43.7  (0.9) 

Alevins 

4.1  (0.29 

1,666 

0.975 

182.2  (1.9) 

8.0  (0.20) 

2,162 

0.998 

111.6  (1.2) 

12.0  (0.35) 

2,323 

0.991 

79.6  (1.1) 

December  or  early  January  (Beacham  and  Murray 
1986,  1987),  nearly  three  months  later  than  the 
spawning  time  of  the  Kluane  River  population. 


Hatching  and  Emergence  Time 

Warmer  water  temperatures  during  incubation 
enhanced  the  development  rate  of  Kluane  River 
chum  salmon  (Table  5).  Timings  of  both  alevin  hatch- 
ing and  fry  emergence  at  a  specific  incubation  tem- 
perature were  comparable  with  that  of  a  British 
Columbia  chum  salmon  population  spawning  in  late 


Alevin  and  Fry  Size 

Alevin  and  fry  length  and  weight  were  influenced 
by  the  water  temperature  during  development.  The 
longest  and  heaviest  alevins  and  fry  were  observed 
at  4°C  (Table  6).  Significant  differences  in  alevin 
length  and  weight  were  observed  among  incubation 
temperatures,  among  families,  and  between  reph- 


668 


BEACHAM  ET  AL  :  VIKON  RIVER  CHUM  SALMON  POPILATION" 


cates  within  families  (all  P  <  0.05).  Significant  inter- 
actions between  temperature  and  family  were  also 
observed  for  all  alevin  size  characters  (all  P  <  0.05), 
again  illustrating  that  alevin  size  characters  did  not 
respond  consistently  among  families  to  changes  in 
incubation  temperature. 

The  effect  of  different  incubation  temperatures 
on  fry  size  characters  was  similar  to  that  for  the 
alevin  size  characters.  Significant  differences  in  fry 
length,  total  weight,  and  tissue  weight  were  ob- 
served among  temperatures,  among  families,  and 
between  replicates.  The  amount  of  yolk  remaining 
at  the  time  of  fry  emergence  was  similar  at  all  in- 
cubation temperatures  (P  >  0.05)  (Table  6).  In- 
teractions between  family  and  incubation  temper- 
ature were  present  for  all  fry  size  characters  (all  P 
<  0.05). 

Biochemical  Genetics 

Regional  differentiation  of  allelic  frequencies  for 
chum  salmon  stocks  in  Alaska  and  the  Yukon  Terri- 
tory was  observed.  Chum  salmon  from  Alaska 
generally  had  a  lower  frequency  of  Idh-1"^'^  and  a 
higher  frequency  of  Tapep  (Lgg)'^'^  than  those  from 
the  Yukon  Territory  (Table  7).  Regional  differen- 
tiation in  allelic  frequencies  was  also  observed  for 
the  other  loci  examined.  The  Delta  and  Toklat  River 
populations,  both  tributaries  of  the  Tanana  River, 
had  higher  frequencies  of  Idh-3'*"'  than  all  other 
populations  except  the  Teslin  River  population.  Only 
one  genotypic  frequency  was  not  in  Hardy- Weinberg 
equilibrium,  that  being  Pgdh  in  the  Toklat  River 
population.  The  disequilibrium  was  due  to  a  hetero- 
zygote  deficiency. 

Variation  in  allelic  frequencies  among  populations 


Table  6.— Fork  length,  total  weight,  yolk  weight,  and  tissue  weight 
for  Kluane  River  chum  salmon  alevins  and  fry  maintained  at  con- 
stant 4°,  8°,  and  12°C  water  temperatures.  N  is  the  number  of 
alevins  and  fry  measured  and  weighed  for  all  families  combined. 
Standard  deviations  are  in  parentheses. 


Temper- 
ature 
(°C) 

N 

Fork 
length 
(mm) 

Total 

weight 

(mg) 

Yolk 

weight 

(mg) 

Tissue 

weight 

(mg) 

Alevin 
4 
8 
12 

Fry 
4 
8 
12 

150 
150 
149 

150 
150 
150 

21.1  (1.4) 
20.8  (0.7) 

20.4  (0.9) 

32.3  (1.8) 
31.0  (0.9) 

30.5  (1.1) 

222.2  (38.2) 
108.9  (18.9) 
176.6  (20.1) 

308.4  (52.9) 

277.5  (27.4) 

277.6  (28.1) 

136.9(19.1)     85.3(22.4) 
106.7(12.7)      74.2     (8.0) 
109.8  (12.9)     66.8    (9.4) 

30.0  (8.7)   278.4  (51.3) 
28.0  (7.2)   249.5  (23.5) 
30.7  (6.4)  247.5  (27.2) 

within  a  region  was  greater  than  annual  variation 
in  allelic  frequencies  within  a  population  (Fgy  43  = 
4.00,  P  <  0.01)  (Table  8).  Annual  stability  of  allelic 
frequencies  was  examined  for  the  loci  for  which  two 
years  of  data  was  available  in  each  population.  Of 
39  comparisons  made,  3  (8%)  were  significant  (Table 
8). 

Heterozygosity  of  populations  from  Alaska  was 
generally  higher  than  that  from  the  Yukon  Terri- 
tory. Mean  heterozygosities  were  0.156  (SD  = 
0.009)  and  0.138  (SD  =  0.019),  respectively,  for  the 
loci  outlined  in  Table  7.  Heterozygosity  values  are 
dependent  upon  the  number  of  polymorphic  and 
monomorphic  loci  included  in  the  calculations,  and 
thus  will  vary  among  studies. 

The  analysis  of  genetic  distance  for  all  pairwise 
combinations  of  the  10  populations  sampled  ranged 
from  0.0000  to  0.0072.  A  dendogram  based  upon  the 
unweighted  pair  group  mean  analysis  (UPGMA) 
illustrated  two  main  clusters  of  populations  (Fig.  2). 


Figure  2.— Dendogram  produced  from  cluster  analysis  using  Nei's 
(1978)  genetic  distance  value.  Codes  are  C  =  Canadian  and  US 
=  United  States. 


KLUANE       C 
KOIDERN       C 
SHEENJEK     US 
MINTO       C 
PORCUPINE      C 
CHANDALAR      US 
L    FISHING    BRANCH 
TESLIN       C 
TOKLAT       US 
DELTA      US 


1 1 1 1 1 1 1 1 1 

0.0032    0.0028  0.0024  0.0020  O.OO16     0.0012    0.0008  0.0004    0.0000 


GENETIC         DISTANCE 


669 


FISHERY  Bl'l.LETIN:  VOL.  8(;,  NO.  4 

Table  7.— Observed  allelic  frequencies  at  polymorphic  loci  for  10  Yukon  River  drainage 

and  other  alleles  were  assigned  numbers 


Year 

ldh-1 

ldh-3 

MdhP 

Stock 

N 

100 

N 

100 

40 

85 

N 

100 

Kluane 

1984 

107 

1.000 

106 

0.358 

0.585 

0.057 

107 

0977 

1985 

106 

1.000 

106 

0  396 

0.552 

0.052 

106 

0991 

Pooled 

213 

1.000 

212 

0.377 

0.568 

0.054 

213 

0.984 

Minto 

1984 

130 

1.000 

130 

0.481 

0.508 

0.012 

130 

0.904 

1985 

114 

1.000 

114 

0.482 

0.461 

0.057 

114 

0  899 

Pooled 

244 

1.000 

244 

0.482 

0.486 

0.033 

244 

0.902 

Fishing  Branch 

1984 

126 

1.000 

126 

0.460 

0.512 

0.028 

126 

0.944 

1985 

99 

1.000 

98 

0.444 

0.510 

0.046 

99 

0.914 

Pooled 

225 

1.000 

224 

0.453 

0.511 

0.036 

225 

0.931 

Teslin 

1985 

90 

1.000 

90 

0.611 

0.361 

0.028 

90 

0.889 

Koidern 

1985 

100 

1.000 

100 

0.405 

0.570 

0.025 

100 

0.980 

Porcupine 

1985 

81 

1.000 

81 

0.463 

0  506 

0.031 

81 

0  938 

Toklat 

1985 

120 

0.946 

120 

0.579 

0.350 

0.071 

120 

0.887 

1986 

124 

0.952 

124 

0.512 

0.399 

0.089 

124 

0  911 

Pooled 

244 

0.949 

244 

0.545 

0.375 

0.080 

244 

0.900 

Delta 

1985 

146 

0.990 

145 

0.538 

0.417 

0.045 

146 

0.877 

1986 

147 

0.990 

146 

0.490 

0.449 

0.062 

147 

0.884 

Pooled 

293 

0.990 

291 

0.514 

0.433 

0.053 

293 

0.881 

Sheenjek 

1985 

143 

0.993 

147 

0.398 

0.585 

0.017 

144 

0.962 

1986 

150 

0.987 

124 

0.415 

0.528 

0.056 

150 

0.907 

Pooled 

293 

0.990 

271 

0.406 

0.559 

0.035 

294 

0.934 

Chandalar 

1986 

147 

1.000 

143 

0.448 

0.497 

0.056 

147 

0.939 

Table  8.— Analysis  of  heterogeneity  of  allelic  frequencies  between  countries,  among 

sampled  during 


ldh-1 

dh-3 

MdhP 

df 

Mpi 

Source  of  variation 

df 

G 

df 

G 

df 

G 

G 

Between  countries 

1 

45.4** 

2 

12.6** 

1 

9.6** 

1 

4.5* 

Among  populations  within 

8 

35.7** 

16 

77.4** 

8 

59.2** 

8 

13.9 

countries 

Canada 

5 

0.0 

10 

34.7** 

5 

45.2** 

5 

10.0 

United  States 

3 

35.7** 

6 

42.7** 

3 

14.0 

3 

3.9 

Between  years  within 

6 

0.3 

12 

21.5 

6 

8.7 

6 

4.5 

populations 

Kluane 

0.0 

2 

0.6 

0.6 

1.3 

Minto 

0.0 

2 

8.7** 

0.0 

0.1 

Fishing  Branch 

0.0 

2 

1.1 

1.1 

1.7 

Toklat 

0.0 

2 

2.3 

0.5 

1.2 

Delta 

0.2 

2 

1.8 

0.0 

0.2 

Sheenjek 

0.1 

2 

7.0 

6.5" 

0.0 

The  Toklat  and  Delta  River  populations  were  dis- 
tinctive from  other  populations  surveyed.  The  popu- 
lation from  Chandalar  River,  a  tributary  of  the  Por- 
cupine River,  was  similar  to  the  Porcupine  River 
population  (sampled  at  the  Old  Crow  fishery)  and 
to  the  Fishing  Branch  River  population,  also  a  trib- 
utary of  the  Porcupine  River.  The  populations  from 
Kluane  and  Koidern  Rivers,  tributaries  of  the  White 
River,  were  also  similar  to  each  other,  as  well  as  to 
the  Sheenjek  River  population  in  Alaska. 


DISCUSSION 

Yukon  River  fall  chum  salmon  undertake  the  long- 
est freshwater  spawning  migration  of  chum  salmon 
in  North  America  and  spawn  in  locations  where 
winter  environmental  conditions  are  very  severe. 
They  are  also  relatively  abundant,  with  an  average 
of  almost  450,000  chum  salmon  harvested  annually 
during  1974-83  (Buklis  and  Barton  1984).  Their 
abundance  indicates  that  they  have  adapted  success- 


670 


HKACHAM  KT  Al„:  VrKON  KIVKK  CIirM  SALMON  POPULATION 


fall  chum  salmon  populations  during  1984-86.  The  most  common  allele  at  a  locus  was  designated  100, 
according  to  the  mobility  relative  to  that  of  the  100  allele. 


Year 

Mpi 

Pgdh 

N        100 

G3pdh-2 
N        100 

Tapep 

Stock 

N 

100 

N 

100 

50 

75 

Kluane 

1984 

105 

0.910 

107 

0.991 

106 

0.887 

1985 

106 

0.943 

105 

0.990 

104 

0856 

106 

0.901 

0.099 

0.000 

Pooled 

211 

0.927 

212 

0.991 

210 

0.871 

106 

0.901 

0.099 

0.000 

Minto 

1984 

130 

0.923 

130 

0.962 

130 

0.888 

1985 

114 

0.934 

114 

0.956 

114 

0.842 

114 

0.842 

0.158 

0.000 

Pooled 

244 

0.928 

244 

0.959 

244 

0.867 

114 

0.842 

0.158 

0.000 

Fishing  Branch 

1984 

126 

0.893 

126 

0.960 

113 

0.854 

1985 

97 

0.933 

99 

0.995 

96 

0.880 

99 

0.803 

0.197 

0.000 

Pooled 

223 

0.910 

225 

0.976 

209 

0.866 

99 

0.803 

0.197 

0.000 

Teslin 

1985 

90 

0.972 

90 

0.994 

89 

0.983 

90 

0.861 

0.139 

0.000 

Koidern 

1985 

100 

0.945 

100 

1.000 

99 

0.879 

97 

0.845 

0,155 

0.000 

Porcupine 

1985 

79 

0.943 

81 

0.981 

75 

0.847 

80 

0.806 

0.194 

0.000 

Toklat 

1985 

120 

0.917 

120 

0.971 

112 

0.848 

120 

0.808 

0.158 

0.033 

1986 

124 

0.883 

123 

0.976 

111 

0.833 

122 

0.852 

0.119 

0.029 

Pooled 

244 

0.900 

243 

0.973 

223 

0.841 

242 

0.831 

0.138 

0.031 

Delta 

1985 

141 

0.922 

146 

0.949 

134 

0.888 

146 

0.818 

0.147 

0.034 

1986 

147 

0.935 

147 

0.939 

104 

0.880 

142 

0.852 

0.106 

0.042 

Pooled 

288 

0.929 

293 

0.944 

238 

0.884 

288 

0.835 

0.127 

0.038 

Sheenjek 

1985 

150 

0.913 

144 

0.972 

129 

0.876 

150 

0.847 

0.147 

0.007 

1986 

150 

0.913 

148 

0.973 

120 

0.879 

149 

0.822 

0.158 

0.020 

Pooled 

300 

0.913 

292 

0.973 

249 

0.878 

299 

0.834 

0.152 

0.013 

Chandalar 

1986 

145 

0.897 

147 

0.973 

85 

0.871 

145 

0.834 

0.148 

0.017 

populations  within  countries,  and  between  years  within  populations  for  Yukon  River  fall  chum  salmon 
1984-86.     P  <  0.01;  P  <  0.05. 


Pgdh 

G3pdh-2 
df         G 

Tapep 
df         G 

Total 

Standardized 

Source  of  variation 

df 

G 

df 

G 

F-statistIc 

Between  countries 

1 

7.9* 

1 

0.7 

2 

48.3" 

9 

129.0" 

14.33 

Among  populations  within 

8 

32.0-- 

8 

34.6" 

11 

20.6* 

67 

273.4** 

4.08 

countries 

Canada 

5 

22.6* 

5 

30.3* 

5 

10.3 

40 

153.1** 

3.83 

United  States 

3 

9.4 

3 

4.3 

6 

10.3 

27 

120.3** 

4.46 

Between  years  within 

6 

5.1 

6 

3.0 

6 

5.8 

48 

48.9 

1.02 

populations 

Kluane 

0.2 

0.6 

Minto 

0.0 

1.9 

Fishing  Branch 

4.8" 

0.4 

Toklat 

0.0 

0.1 

2 

1.7 

Delta 

0.1 

0.0 

2 

1.8 

Sheenjek 

0.0 

0.0 

2 

2.3 

fully  to  a  long  distance  freshwater  migration  and 
extreme  winter  conditions. 

Several  biological  characters  differ  between  chum 
salmon  in  the  Yukon  River  and  in  British  Colum- 
bia. For  Yukon  River  fall  chum  salmon,  approx- 
imately equal  numbers  of  salmon  mature,  on  aver- 
age, at  three  and  five  years  of  age,  although  there 
is  annual  variation  (Buklis  and  Barton  1984).  In  the 
Amur  River,  fall  chum  salmon  mainly  mature  at  four 
and  five  years  of  age  (Smirnov  1975).  Similar  results 


were  recorded  in  our  study.  Yukon  River  chum 
salmon  matured  at  older  ages  and  at  smaller  mean 
lengths-at-age  than  did  chum  salmon  in  British  Co- 
lumbia. A  general  trend  of  younger  ages  at  matur- 
ity and  increased  mean  lengths-at-age  in  southern 
as  compared  with  northern  chum  salmon  popula- 
tions has  been  reported  by  Salo  (in  press).  This 
trend  may  be  a  result  of  the  earlier  timing  of  fry 
emergence  and  later  timing  of  adult  spawning  of 
more  southern  populations,  allowing  more  time  for 


671 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


ocean  growth,  particularly  in  the  year  of  maturity. 

Body  shape  of  Yukon  River  and  British  Colum- 
bia chum  salmon  was  different,  with  Yukon  River 
chum  salmon  having  a  shorter  head,  thinner  caudal 
peduncle,  and  smaller  fins  than  British  Columbia 
chum  salmon.  This  more  fusiform  body  shape  is  pre- 
sumably an  adaptation  to  the  long  migration  in  fresh 
water,  as  selection  should  result  in  a  body  shape  that 
would  minimize  energy  consumption  during  migra- 
tion. Morphological  differentiation  with  respect  to 
distance  of  upstream  migration  has  been  reported 
to  occur  in  other  Oncorhynchus  species  (Eniutina 
1954;  Taylor  and  McPhail  1985),  as  well  as  with 
respect  to  river  size  (Hjort  and  Schreck  1982; 
Beacham  and  Murray  1987). 

The  mean  fecundity  of  2,325  eggs  per  female  for 
Yukon  River  fall  chum  salmon  reported  in  our  study 
is  similar  to  other  results.  Elson  (1975)  reported 
mean  fecundities  of  2,360  eggs  and  2,513  eggs  per 
female  for  Porcupine  River  chum  salmon  sampled 
in  1971  and  1973,  respectively.  Raymond  (1981) 
reported  mean  fecundities  of  Tanana  River  chum 
salmon  of  2,355  eggs  in  1977  and  2,762  eggs  in  1978. 
Fecundities  of  Yukon  River  fall  chum  salmon  are 
less  than  those  reported  for  many  chum  salmon 
stocks  in  British  Columbia  (Beacham  1982),  and  also 
less  than  fall  chum  salmon  in  the  Amur  River  (3,200 
to  4,300  eggs)  (Smirnov  1975).  Mean  egg  size  of 
Yukon  River  fall  chum  salmon  is  also  less  than  that 
of  Amur  River  chum  salmon  (180  to  300  mg,  6.7  to 
9.0  mm  diameter)  (Smirnov  1975). 

The  different  fecundities  and  ages  at  maturity  of 
Yukon  River  and  British  Columbia  chum  salmon 
present  an  interesting  contrast  in  life  history  char- 
acters. Yukon  River  fall  chum  salmon  mature  at  an 
average  age  of  0.28  years  older  than  British  Colum- 
bia salmon,  which  means  that  they  incur  an  addi- 
tional 5%  mortality  if  the  instantaneous  mortality 
rate  during  the  last  year  of  life  for  chum  salmon  is 
0.013  per  month  (Ricker  1976).  The  lower  fecundity 
and  older  age  at  maturity  of  Yukon  River  salmon 
indicate  that  they  are  not  as  productive  as  chum 
salmon  in  British  Columbia  or  that  mean  survival 
rates  of  the  two  groups  are  not  equivalent.  Egg-to- 
fry  survival  rates  for  Yukon  River  chum  salmon 
have  been  reported  as  a  mean  of  about  2.5%  (Buklis 
and  Barton  1984),  whereas  those  for  British  Colum- 
bia chum  salmon  average  about  10%  (Bakkala  1970; 
Beacham  and  Starr  1982).  If  Yukon  River  chum 
salmon  are  as  productive  as  those  in  British  Colum- 
bia, then  ocean  survival  rates  of  Yukon  River  chum 
salmon  must  be  higher  than  those  of  British  Colum- 
bia chum  salmon. 


When  incubated  under  the  same  water  tempera- 
tures, Yukon  River  chum  salmon  alevins  hatch  and 
the  fry  emerge  sooner  than  most  chum  salmon 
populations  in  British  Columbia  (Beacham  and  Mur- 
ray 1987).  The  faster  development  rates  presumably 
occur  as  a  response  to  lower  water  temperatures 
during  the  winter  in  the  Yukon  River  tributaries 
than  in  rivers  in  British  Columbia.  Yukon  River 
chum  salmon  alevins  and  fry  are  shorter  and  lighter 
than  those  from  British  Columbia  (Beacham  and 
Murray  1987),  presumably  reflective  of  smaller  ini- 
tial egg  size  of  Yukon  River  chum  salmon.  At  incu- 
bation temperatures  of  4°,  8°,  and  12 °C,  maximum 
alevin  and  fry  size  for  Yukon  River  chum  salmon 
was  observed  at  4°C,  but  for  British  Columbia 
stocks,  maximum  alevin  and  fry  size  was  generally 
observed  at  8°C.  These  results  suggest  that  Yukon 
River  chum  salmon  are  better  adapted  for  develop- 
ment under  low  water  temperatures  than  are  British 
Columbia  chum  salmon. 

Yukon  River  chum  salmon  are  generally  distinc- 
tive in  electrophoretic  characteristics  from  chum 
salmon  in  Cook  Inlet  in  Alaska  (Okazaki  1981)  and 
British  Columbia  (Okazaki  1981;  Beacham  et  al. 
1985,  1987).  For  example,  the  allelic  frequency  of 
Idh-3^^  is  0.28  in  Queen  Charlotte  Islands  popula- 
tions and  0.17  in  populations  in  northern  British 
Columbia  (Beacham  et  al.  1987),  but  this  allele  was 
not  detected  in  our  study  of  Yukon  River  chum 
salmon.  Heterozygosity  of  Yukon  River  chum 
salmon  was  lower  than  that  observed  for  British 
Columbia  salmon  (the  same  loci  were  included  in  the 
analysis)  (Beacham  et  al.  1987).  Kijima  and  Fujio 
(1984)  reported  that  average  heterozygosity  is 
related  to  effective  population  size  in  Japanese  chum 
salmon  populations,  with  more  abundant  populations 
having  increased  genetic  variance.  Abundance  of  the 
Yukon  River  populations  examined  in  our  study  is 
unknown,  but  the  catch  data  suggest  that  the  in- 
dividual Yukon  River  populations  may  not  be  as 
abundant  as  major  chum  salmon  populations  in 
British  Columbia. 

Allelic  frequencies  for  most  salmon  populations 
are  reported  to  show  little  annual  variation  (Grant 
et  al.  1980;  Utter  et  al.  1980;  Beacham  et  al.  1985, 
1987),  allowing  for  pooling  of  samples  from  a  par- 
ticular population  over  several  years.  It  should  thus 
not  be  necessary  to  conduct  annual  sampling  in 
order  to  characterize  the  populations  contributing 
to  fisheries.  Stock  identification  based  on  stable 
traits,  such  as  allelic  frequencies,  reduces  annual 
sampling  costs  for  the  baseline  stocks.  This  differs 
from  scale  analysis,  in  which  variation  in  the  char- 


672 


HKACIIAM  ET  AL  :  VIKON  RIVf:R  CHl'M  SALMON  POPULATION 


acters  used  for  stock  identification  makes  annual 
sampling  of  the  baseline  stocks  necessary  (e.g., 
Wilcock  and  McBride  1983;  Wilcock  1984),  and 
restricts  the  incorporation  of  results  into  manage- 
ment decisions  during  the  fishing  season. 

ACKNOWLEDGMENTS 

The  extensive  field  sampling  necessary  for  this 
program  was  accomplished  with  the  help  of  many 
individuals,  including  Art  Demsky,  Peter  Etherton, 
Robbin  Hunka,  Tom  Hurds,  and  especially  Wally 
Barner.  Special  thanks  are  due  to  Bill  Arvey,  Larry 
Buklis,  and  other  members  of  the  Alaska  Depart- 
ment of  Fish  and  Game  for  sampling  of  Alaskan 
populations.  Age  determination  of  chum  salmon 
from  scales  was  conducted  by  Yvonne  Yole.  Main- 
tenance and  supervision  of  the  incubation  laboratory 
was  provided  by  Wally  Barner,  Bill  Andrews,  and 
Bruce  Patten.  July  Dawes,  Brenda  Hoitsma,  and 
Tracey  Briggs  weighed  and  measured  the  chum 
salmon  eggs,  ale\ins,  and  fry  examined  in  this  study. 
The  electrophoretic  analysis  was  conducted  by  Helix 
Biotech  Ltd.  of  Richmond,  B.C.,  under  contract  to 
the  Department  of  Fisheries  and  Oceans. 

LITERATURE  CITED 

Bakkala,  R.  G. 

1970.    Synopsis  of  biological  data  on  the  chum  salmon,  On- 

corhynchus  keta  (Walbaum)  1972.    U.S.  Fish  Wildl.  Sen-. 

Circ.  315,  89  p. 
Beacham,  T.  D. 

1982.  Fecundity  of  coho  salmon  (Oncorhynchus  kisutch)  and 
chum  salmon  (0.  keta)  in  the  northeast  Pacific  Ocean.  Can. 
J.  Zool.  60:1463-1469. 

Beacham,  T.  D.,  A.  P.  Gould,  R.  E.  Withler,  C.  B.  Murray, 
AND  L.  W.  Barner. 
1987.    Biochemical  genetic  survey  and  stock  identification  of 
chum  salmon  {Oncorhynchus  keta)  in  British  Columbia. 
Can.  J.  Fish.  Aquat.  Sci.  44:1702-1713. 
Beacham,  T.  D.,  and  C.  B.  Murray. 

1983.  Sexual  dimorphism  in  the  adipose  fin  of  Pacific  salmon 
(pncorhynckus).    Can.  J.  Fish.  Aquat.  Sci.  40:2019-2024. 

1986.  Comparative  developmental  biologj'  of  chum  salmon 
(Oncorhynchus  keta)  from  the  Fraser  River,  British  Colum- 
bia.   Can.  J.  Fish.  Aquat.  Sci.  43:252-262. 

1987.  Adaptive  variation  in  body  size,  age,  morphology,  egg 
size,  and  developmental  biology  of  chum  salmon  (Oncorhyn- 
chus keta)  in  British  Columbia.  Can.  J.  Fish.  Aquat.  Sci. 
44:244-261. 

Beacham,  T.  D.,  and  P.  Starr. 

1982.    Population  biology  of  chum  salmon,  Oncorhynchus  keta, 
from  the  Fraser  River,  British  Columbia.    Fish.  Bull.,  U.S. 
80:813-825. 
Beacham,  T.  D.,  R.  E.  Withler,  and  A.  P.  Gould. 

1985.  Biochemical  genetic  stock  identification  of  chum  salmon 
(Oncorhynchus  keta)  in  southern  British  Columbia.    Can.  J. 


Fish.  Aquat.  Sci.  42:437-448. 
BUKLIS,  L.  S. 

1981.  Yukon  and  Tanana  River  fall  chum  salmon  tagging 
studies,  1976-1980.  Alaska  Dep.  Fish.  Game  Info.  Leafl. 
194,  40  p. 

BuKLis,  L.  S.,  and  L.  H.  Barton. 

1984.    Yukon  River  fall  chum  salmon  biology  and  stock  status. 
Alaska  Dep.  Fish.  Game  Info.  Leafl.  239,  67  p. 
Clayton,  J.  W.,  and  D.  N.  Tretiak. 

1972.    Amine-citrate  buffers  for  pH  control  in  starch  gel  elec- 
trophoresis.   J.  Fish.  Res.  Board  Can.  29:1169-1172. 
Elson,  M.  S. 

1975.  Enumeration  of  spawning  chum  salmon  (Oncorhynchus 
keta)  in  the  Fishing  Branch  River  in  1971,  1972,  1973,  and 
1974.  In  L.  W.  Steigenberger,  M.  S.  Elson,  and  R.  T. 
Delury  (editors),  Northern  Yukon  fisheries  studies,  1971- 
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Serv.,  Dep.  Environ.,  PAC/T-75-19.  New  Westminster, 
British  Columbia,  Canada. 

Eniutina,  R.  I. 

1954.    Local  stocks  of  pink  salmon  in  the  Amur  basin  and 
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of  sockeye  salmon  (Oncorhynchus  nerka)  stocks  in  Cook 
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1982.  Phenot^TDic  differences  among  stocks  of  hatchery  and 
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KlJIMA,  A..  AND  Y.  FUJIO. 

1984.    Relationship  between  average  heterozygosity  and  river 
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Markert,  C.  L.,  and  I.  Faulhaber. 

1965.    Lactate    dehjTogenase    isozyme    patterns    of   fish. 
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1976.  Some  features  of  coho  salmon,  Oncorhynchus  kisutch, 
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McBride,  D.  N.,  H.  H.  Hamner,  and  L.  S.  Buklis. 

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MILLIGAN,  p.  a.,  W.  0.  RUBLEE,  D.  D.CORNETT,  AND  R.  A.  C. 

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673 


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L.  WlSHARD. 

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Utter,  F.  M.,  H.  0.  Hodgins,  and  F.  W.  Allendorf. 

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Vladykov,  V.  D. 

1962.  Osteological  studies  on  Pacific  salmon  of  the  genus 
Oncorhynchus.  Bull.  Fish.  Res.  Board  Can.  136,  171 
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Fish.  Game  Info.  Leafl.  243,  30  p. 
WiLCOCK,  J.  A.,  and  D.  N.  McBride. 

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674 


FOOD  HABITS  AND  DAILY  RATION  OF  GREENLAND  HALIBUT, 

REINHARDTIUS  HIPPOGLOSSOIDES,  IN 

THE  EASTERN  BERING  SEA 

M.  S.  Yang  and  P.  A.  Livingston' 

ABSTRACT 

This  study  shows  that  diet  of  Greenland  halibut  varies  mainly  by  depth  and  size,  and  that  size  of  prey 
fish  increases  as  the  Greenland  halibut  increases  in  size.  A  total  of  1,333  Greenland  halibut  (or  turbot), 
Reinhardtius  hippoglossoid.es,  stomachs  were  collected  in  the  eastern  Bering  Sea  from  May  1983  to 
November  1985  and  analyzed.  Stomach  content  data  were  divided  into  four  groups  based  on  sample  loca- 
tion (depth).  Using  length  of  the  sample  animals  within  each  depth  group,  data  were  further  divided 
into  five  size  groups.  Walleye  pollock,  Theragra  chalcogramma,  was  the  most  important  prey  (58%  by 
weight  of  the  total  stomach  content).  Squids  (mainly  Berryteuthis  sp.)  were  the  second  most  (20%  by 
weight)  important  food  of  Greenland  halibut.  Zoarcids  and  some  deep-water  fishes  (e.g.,  bathylagids, 
myctophids,  macrourids)  were  also  important  food  for  Greenland  halibut  30-69  cm  long.  Euphausiids 
were  only  important  as  food  (64%  by  weight)  of  the  fish  <20  cm  collected  in  the  continental  shelf  <200 
m  deep.  Fishes  >70  cm  fed  almost  exclusively  on  fish  in  all  depth  areas. 

Variation  in  mean  stomach  content  weight  throughout  the  day  was  used  to  determine  the  diel  feeding 
pattern;  from  this  it  appears  that  Greenland  halibut  is  a  continuous  feeder.  Daily  rations  (%  of  body 
weight  per  day)  of  Greenland  halibut  were  calculated  using  an  exponential  gastric  evacuation  rate  model. 
Fish  >70  cm  had  a  higher  daily  ration  value  (1.17%  of  body  weight  per  day)  than  did  those  of  the  two 
smaller  size  groups  (0.66  and  0.64%  of  body  weight  per  day  for  30-49  and  50-69  cm  size  groups, 
respectively). 


Greenland  halibut  (or  turbot),  Reinhardtius  hippo- 
glossoides,  is  an  amphiboreal  fish,  occurring  in  both 
the  North  Atlantic  and  the  North  Pacific,  but  not 
in  the  intervening  Arctic  Ocean  (Hubbs  and  Wili- 
movsky  1964).  Within  this  range,  the  species  has 
been  most  extensively  studied  in  the  Atlantic  Ocean. 
In  the  Pacific  Ocean,  Greenland  halibut  has  been 
found  from  Baja  California  (Schmidt  1934),  Oregon 
(Niska  and  Magill  1967),  and  Vancouver  B.C.  (West- 
rheim  and  Pletcher  1966),  through  the  Bering  and 
Okhotsk  Seas  (Shmidt  1950),  to  Honshu  Island, 
Japan  (Hart  1973),  but  the  center  of  abundance  is 
in  the  eastern  Bering  Sea  area. 

Data  of  the  resource  assessment  surveys  (from 
1979  to  1985)  in  the  eastern  Bering  Sea  performed 
by  the  Northwest  and  Alaska  Fisheries  Center 
(NWAFC),  National  Marine  Fisheries  Service 
(NMFS),  show  that  Greenland  halibut  ranked 
between  5th  and  12th  place  in  terms  of  relative 
abundance  (kg/ha)  among  the  groundfish  species; 


however,  it  is  the  most  abundant  species  in  continen- 
tal slope  areas  (Bakkala  1986^). 

These  assessments  suggest  that  Greenland  halibut 
is  a  key  member  of  the  eastern  Bering  Sea  ecosys- 
tem. The  importance  of  this  species  in  predator-prey 
relationships  of  this  ecosystem  is  poorly  understood 
since  little  is  known  about  its  food  habits  and  food 
consumption  rate.  Food  habits  of  Greenland  halibut 
in  the  North  Atlantic  have  been  studied  by  Bower- 
ing  and  Lilly  (1985)  and  Haug  and  Gulliksen  (1982). 
In  the  eastern  Bering  Sea,  Mikawa  (1963),  Mito 
(1974).  Smith  et  al.  (1978),  and  Livingston  et  al. 
(1986)  reported  stomach  contents  analysis  of  the 
Greenland  halibut,  but  the  sample  sizes  in  these 
studies  were  small  and  the  analyses  were  limited. 
The  objective  of  this  study  is  to  provide  a  descrip- 
tion of  the  food  habits  of  Greenland  halibut  in  the 
eastern  Bering  Sea,  including  diel,  spatial,  and 
seasonal  variations  in  stomach  contents;  influence 
of  predator  size;  and  daily  ration. 


'Northwest  and  Alaska  Fisheries  Center.  National  Marine  Fish- 
eries Service.  NOAA.  7600  Sand  Point  Way  N.E.,  BIN  C15700. 
Building  4,  Seattle.  WA  98115. 


^Bakkala,  R.  G.  1986.  Greenland  turbot— biological  report. 
Unpubl.  manuscr.,  21  p.  Northwest  and  Alaska  Fisheries  Center, 
National  Marine  Fisheries  Service,  NOAA.  7600  Sand  Point  Way 
N.E..  Seattle,  WA  98115. 


Manuscript  accepted  June  1988. 

FISHERY  BULLETIN:  VOL.  86.  NO.  4.  1988. 


675 


I'lSllKin'  HILLKTIN:  \()1..  Si\.  NO,   1 


METHODS  AND  MATERIALS 

Sample  Collection  and 
Stomach  Content  Analysis 

Stomachs  from  1,333  Greenland  halibut  were 
collected  from  May  1983  to  November  1985  in  the 
eastern  Bering  Sea  area  (Fig.  1)  from  NMFS  re- 
search vessels  and  foreign  commercial  fishing 
vessels  (through  the  U.S.  Foreign  Fisheries  Ob- 
server Program).  A  bottom  trawl  was  the  only  sam- 
pHng  gear  used,  and  trawl  samples  were  taken 
throughout  the  day  and  night.  Due  to  the  low  abun- 
dance of  Greenland  halibut  in  the  shelf  area  (<200 
m),  stomachs  were  taken  from  virtually  all  Green- 
land halibut  encountered  in  trawl  catches.  Random 
size-stratified  samples  were  obtained  from  the 
catches  in  the  slope  area.   Captured  fish  were 


checked  in  ihv  i'lvld  for  signs  of  regurgitation  and 
were  discarded  when  there  was  evidence  of  food 
items  in  the  mouth  or  gill  plates  or  of  flaccid 
stomachs.  Stomachs  from  the  sampled  fish  were  ex- 
cised and  put  into  cloth  bags  with  a  specimen  label 
containing  fork  length,  sex,  and  station  information, 
and  were  preserved  in  4%  formaldehyde  solution. 
Individual  fish  weights  were  not  recorded  at  sea,  but 
were  estimated  by  using  the  weight-length  equation. 


W{g)  =  0.0060717  x  L(cm) 


i08K(;4 


(1) 


estimated  from  the  Greenland  halibut  data  base  of 
the  Resource  Assessment  and  Conservation  Engi- 
neering (RACE3)  Division  of  the  NWAFC. 


•^Northwest  and  Alaska  Fisheries  Center,  National  Marine  Fish- 
eries Service,  7600  Sand  Point  Way  N.E.,  BIN  C1.5700,  Building 
4,  Seattle,  WA  98115. 


63  OON 


■-   61  OON 


59  OON 


■-  57    OON 


-■-   55  OON 


■■-   53  OON 


51  OON 


1  79  OOE 


176  OOW 


171  OOW 


166  OOW 


161  OOW 


156  OOW 


Figure  1. -Sampling  locations  for  Greenland  halibut  in  the  eastern  Bering  Sea  by  four  different  depth  strata,  <200  m  (  +  ),  200-.399 

m  (O),  400-599  m  (■),  and  >600  m  (A). 


676 


YANG  and  LIVINGSTON;  FOOD  HABITS  OF  GREENLAND  HALIBUT 


Stomachs  were  analyzed  individually  in  the  labor- 
atory. Prey  items  were  identified  to  the  lowest  possi- 
ble taxonomic  level  and  counted.  Wet  weights  of  the 
prey  items  were  recorded  to  the  nearest  milligram 
after  blotting  with  paper  towels.  The  fork  lengths 
of  prey  fish  were  also  measured. 

Diet  Description 

Since  the  depth  distribution  of  Greenland  halibut 
in  this  study  was  broad  (from  62  m  to  891  m),  stom- 
ach content  data  were  first  subjectively  divided  by 
100  m  depth  groups.  For  each  100  m  depth  class, 
percent  frequency  of  occurrence  (%F0)  of  prey 
items,  percentage  of  total  stomach  content  weight 
(%W)  by  prey  t}T)e,  and  the  percentage  of  total  prey 
number  (%A^)  by  prey  type  were  calculated  by  using 
ECO/INDEX,  a  computer  program  for  calculating 
feeding  ecology  indices  (Vodopovich  and  Hoover 
1981).  Based  on  similarities  of  major  prey  items 
(using  percent  by  weight),  stomach  content  data 
were  combined  into  four  depth  groups  for  analysis: 
Depth  1  (<200  m).  Depth  2  (200-399  m),  Depth  3 
(400-599  m),  and  Depth  4  (^600  m). 

Within  each  of  the  four  depth  groups,  data  were 
subjectively  divided  by  fish  length  into  10  cm  size 
groups.  By  comparing  percent  by  weight  of  the 
major  prey  categories  (e.g..  gadids,  squids)  for  each 
size  group,  the  fish  within  each  of  the  four  depth 
groups  were  finally  lumped  into  five  size  groups:  <20 
cm,  20-29  cm,  30-49  cm,  50-69  cm,  and  >70  cm. 
Seasonal  breakdowns  of  stomach  contents  by  depth 
and  predator  si^^e  group  could  not  be  performed  due 
to  insufficient  sample  sizes. 

Diel  Feeding  Pattern 

Because  of  the  small  sample  size  of  fish  <30  cm 
long,  only  data  from  three  size  groups  (30-49  cm, 
50-69  cm,  >70  cm)  were  used  for  diel  feeding  anal- 
ysis. For  each  size  group,  the  stomach  content 
weights  as  percent  of  body  weight  were  calculated 
for  each  3-h  period  of  the  24-h  day.  Any  possible 
seasonal  variations  of  the  diel  feeding  pattern  could 
not  be  analyzed  because  of  insufficient  seasonal 
samples. 

Daily  Ration 

In  this  study,  daily  ration  was  calculated  using 
Elliott  and  Persson's  (1978)  model.  The  basic 
assumption  of  this  model  are  that  the  rate  of  gastric 
evacuation  (R)  is  exponential  and  temperature 


dependent.  If  stomach  samples  are  taken  at  fixed 
intervals  of  t  hours,  the  mean  stomach  content 
weight  as  a  percentage  of  fish  weight  (S,)  in  each 
interval  (i)  is  calculated  for  a  total  of  m  intervals 
over  the  24-h  period.  According  to  Elliott  and 
Persson  (1978),  the  daily  ration  (D.R.)  in  terms  of 
percentage  of  body  weight  is  therefore  given  by 


D.R.  = 


Rt 


1  -  expi-Rt)  '  =  1 


24  SR 


J.  8,(1  -  expi-Rt)) 


(2) 


where  S  =  J.  S,/m.  Elliott  (1972)  found  the  gen- 
eral relationship  between  R  and  temperature  (T) 
was  exponential: 


R  =  ae 


hT 


(3) 


Based  on  data  presented  in  the  literature  for  the 
normal  temperature  range  of  both  freshwater  and 
marine  fishes,  Durbin  et  al.  (1983)  concluded  that 
the  slope  (b)  is  fairly  constant  for  different  prey 
types  and  fish  species  (mean  =  0.115),  while  the 
intercept  (a)  changes  with  prey  type  and  can  be 
estimated  from  gastric  evacuation  rate  experiments. 
Since  there  were  no  gastric  evacuation  rate  data 
available  for  Greenland  halibut,  results  of  gastric 
evacuation  experiments  on  walleye  pollock,  Thera- 
gra  chalcogramma,  feeding  on  juvenile  pollock  and 
squid  were  used  (Dwyer  et  al.  1987).  Although  wall- 
eye pollock  is  taxonomically  very  different  from 
Greenland  halibut,  these  two  species  have  some  prey 
in  common.  In  addition,  both  species  are  active,  off- 
bottom  feeders  which  could  be  expected  to  be  more 
similar  in  terms  of  metabolic  rates  than  benthic 
feeding,  small  mouth  flounders  whose  food  intake 
has  been  studied  more  extensively.  The  intercept 
"a"  in  Equation  (2)  was  0.0143  for  juvenile  walleye 
pollock  and  0.0079  for  squid.  For  this  study,  the 
intercept  for  walleye  pollock  prey  was  used  to  cal- 
culate daily  ration  when  fish  was  the  main  prey 
(>70%  of  diet  by  weight),  and  the  intercept  for 
squid  was  used  when  squid  was  the  main  prey.  If 
the  diet  was  split  evenly  between  fish  and  squid 
prey,  daily  ration  was  calculated  using  both  inter- 
cept values  to  obtain  a  likely  range  of  daily  ration 
values. 

Average  bottom  temperatures  for  the  eastern 
Bering  Sea  for  this  study  were  estimated  from 
oceanographic  data  on  the  Bering  Sea  (Ingraham 


677 


I'lSllKKV  HII.LKTIN:  VOL.  8t;.  NO.  4 


ions'*).  Because  of  the  small  differences  in  temper- 
atures between  different  seasons  (e.g.,  2.90°C, 
2.47°C,  and  2.93°C  were  the  average  temperatures 
for  spring,  summer,  and  autumn  at  locations  where 
fish  30-49  cm  were  collected),  and  the  lack  of  sam- 
ples for  fish  <30  cm,  daily  rations  were  calculated 
for  three  size  groups  (30-49  cm,  50-69  cm,  and  >70 
cm)  with  all  seasons  combined.  Temperatures  used 
for  each  of  the  three  size-groups  were  calculated  by 
matching  the  haul  locations  of  each  size  group  in  our 
study  with  the  long-term  monthly  mean  bottom 
temperature  at  those  positions  and  calculating  the 
average  bottom  temperature. 

RESULTS 

General  Description  of  Diet 

Stomachs  from  1,333  Greenland  halibut  were 
analyzed;  of  these,  610  stomachs  (46%)  were  empty. 
The  size  of  the  Greenland  halibut  ranged  from  9  to 
99  cm  (fork  length)  with  a  mean  of  56  cm.  The  sam- 
pling depth  ranged  from  62  to  891  m  with  most  of 
the  samples  (55%)  collected  from  the  area  400-599 
m  deep. 

Prey  consumed  included  gastropods,  cephalopods, 
crustaceans,  ophiuroids,  and  fish  (Table  1).  Twelve 
families  offish  and  at  least  14  different  fish  species 
were  represented  in  the  stomach  contents.  Fish 
dominated  the  contents  in  terms  of  frequency  of  oc- 
currence, number,  and  weight;  walleye  pollock  was 
the  most  important  fish  species  consumed  with 
respect  to  all  three  measures  of  prey  importance. 
Three  genera  of  squid  were  consumed  (mainly 
Berryteuthis  sp.)  and  were  the  second  most  impor- 
tant prey.  The  importance  of  the  various  prey 
species  or  groups  (e.g.,  gadids,  squids)  changes  with 
bottom  depth  and  Greenland  halibut  size.  Those 
changes  will  be  discussed  in  the  following  sections. 

Spatial  and  Size  Differences 

Depth  1  (<200  m) 

Gadids  constituted  more  than  87%  by  weight  of 
the  stomach  contents  of  all  but  the  smallest  (<20  cm) 
size  group  (Fig.  2A).  Euphausiids  comprised  64% 
by  weight  (54%  by  number)  of  the  diet  of  Greenland 
halibut  <20  cm  long.  In  size  group  20-29  cm,  the 


■•Ingraham,  W.  J.  1983.  Temperature  anomalies  in  the  eastern 
Bering  Sea  1953-82.  NWAFC  Processed  Rep.  83-21,  348  p. 
Northwest  and  Alastca  Fisheries  Center,  National  Marine  Fisheries 
Service,  NOAA,  7600  Sand  Point  Way  N.E.,  Seattle,  WA  98115. 


percentage  by  number  of  euphausiids  was  still  high 
(52%),  but  the  percentage  by  weight  decreased 
dramatically  to  only  2%.  Gadids  were  the  dominant 
prey  for  size  groups  larger  than  30  cm  in  Depth  1 
in  terms  of  percent  of  frequency  of  occurrence,  per- 
cent of  total  stomach  contents  weight,  and  the 
percent  of  prey  number.  Cephalopods,  clupeids, 
osmerids,  stichaeids,  myctophids,  and  macrourids 
were  not  important  food  items  at  this  depth. 

Depth  2  (200-399  m) 

No  Greenland  halibut  smaller  than  30  cm  were  col- 
lected at  this  depth  range.  Cephalopods,  in  terms 
of  the  three  diet  measures  shown  in  Figure  2B,  were 
the  dominant  food  items  found  in  the  size  groups 
30-49  cm  and  50-69  cm.  On  the  other  hand,  gadids 
were  the  dominant  prey  in  size  group  >70  cm  (Fig. 
2B).  When  all  sizes  were  combined,  the  cephalopods 
were  more  important  than  gadids  (Fig.  2B,  lower 
right);  however,  when  the  size  groups  were  sepa- 
rated (Fig.  2B),  the  different  contribution  of  gadids 
and  cephalopods  to  different  size  groups  is  very  clear 
(cephalopods  are  most  important  for  fish  <70  cm  and 
gadids  are  important  for  fish  ^70  cm).  Miscellaneous 
prey  fishes  found  in  the  entire  Depth  2  group 
included  zoarcids,  bathylagids,  myctophids,  and 
pleuronectids. 

Depth  3  (400-599  m) 

No  stomachs  of  Greenland  halibut  smaller  than  30 
cm  were  collected  in  this  depth  range  (Fig.  2C).  For 
Greenland  halibut  30-49  cm  long,  zoarcids  (38.6%) 
were  the  most  important  prey  item  in  terms  of 
percentage  by  weight  of  the  stomach  contents, 
followed  by  cephalopods  (30.7%)  and  gadids  (17%). 
In  terms  of  percent  of  prey  number,  cephalopods 
comprised  39%  of  the  total  prey  in  this  size  group, 
followed  by  gadids  (22%),  bathylagids  (17.3%),  and 
zoarcids  (8.7%).  For  the  size  group  50-69  cm, 
cephalopods,  gadids,  and  zoarcids  comprised  61,  21, 
and  12%  by  weight  of  the  stomach  contents,  respec- 
tively. Cephalopods  also  comprised  the  highest 
percentage  (35%)  by  the  number  in  this  size  group. 
Gadids  were  the  dominant  prey  of  large  Greenland 
halibut  (>70  cm).  They  comprised  87%  by  weight, 
69%  by  number,  and  82%  by  frequency  of  occur- 
rence of  the  stomach  contents  of  this  size  group  (Fig. 
2C).  Other  prey  fishes  found  in  the  Depth  3  group 
included  stichaeids,  myctophids,  cottids,  macroiu^ids, 
cyclopterids,  and  pleuronectids.  For  the  Depth  3 
group  (Fig.  2C,  lower  right),  gadids  were  the  domi- 


678 


YANG  and  LIVINGSTON:  F-OOn  HABITS  OF  GREENLAND  HALIBIT 


Table  1.— Prey  items  found  in  the  stomachs  of  Greenland  halibut  collected  in  the  eastern  Bering  Sea  during  summer  1983  through  fall 
1985.     %F0  =  percent  frequency  of  occurrence,  %/V  =  percent  by  number,  %W  =  percent  by  weight,  t  =  <0.01%  W. 


Prey  item 

%F0 

%/V 

o/oW 

Prey  item 

%F0 

o/oN 

%W 

Gastropoda 

Ophiuroidea 

1.1 

1.81 

t 

Buccmum  sp. 

0.4 

0.34 

0.14 

Ophiurida 

1.0 

1.72 

t 

Cephalopoda 

31.9 

22.67 

20.28 

Unidentified  Ophiuroidea 

0.1 

0.09 

t 

Teuthoidea 

30.8 

21.98 

19.65 

Larvacea  Copelata 

0.4 

0.69 

t 

Gonatidae 

10.5 

8.16 

11.64 

Gonatopsis  sp. 
Gonatus  sp. 

1.9 
0.7 

1.20 
0.60 

2.97 
0.13 

Teleostei 
Clupeidae 

71.7 

61.36 

77.93 

Gonatus  magister 
Berryteuthis  sp. 
Berryteuthis  magister 

0.1 
6.4 
0.3 

0.26 
4.81 
0.26 

0.09 
6.69 
1.03 

Clupea  pallasii 
Osmeridae 
Bathylagidae 

0.3 
0.1 
7.6 

0.17 
0.09 
8.24 

0.74 

t 

0.63 

Unidentified  Gonatidae 

1.4 

1.03 

0.73 

Leurogiossus  stilbius 

0.4 

0.43 

0.04 

Unidentified  Teuthoidea 

20.5 

13.82 

8.01 

Unidentified  Bathylagidae 

7.2 

7.81 

0.59 

Octopoda 

Unidentified  Cephalopoda 

0.1 
1.0 

0.09 
0.60 

0.51 
0.12 

Myctophidae 
Stenobrachius  leucopsarus 

5.0 
0.1 

6.87 
0.09 

0.71 
t 

Unidentified  fvlyctophidae 

4.8 

6.78 

0.71 

Crustacea 

7.8 

12.39 

0.41 

Gadidae 

32.7 

26.35 

61.08 

Mysidacea 

2.2 

1.64 

0.01 

Theragra  chalcogramma 

28.2 

23.35 

58.39 

Gnathopausia  gigas 

0.7 

0.52 

t 

Unidentified  Gadidae 

4.4 

3.00 

2.69 

Holmesiella  anomala 

1.0 

0.77 

t 

Zoarcidae 

5.0 

4.13 

3.51 

Pseudomma  truncatum 

0.1 

0.09 

t 

Lycodes  sp. 

4.1 

3.52 

2.95 

Unidentified  Mysidacea 

0.4 

0.26 

t 

Lycodes  diapterus 

0.1 

0.09 

0.05 

Cumacea 

0.1 

0.17 

t 

Lycodes  palearis 

0.1 

0.09 

0.11 

Unidentified  Zoarcidae 

0.6 

0.43 

0.40 

Amphipoda 

1.2 

1.54 

t 

Macrouridae 

1.0 

1.12 

2.00 

Gammaridea 
Hyperiidea 
Parathemisto  libellula 

1.0 

0.77 

t 

Coryphaenoides  sp. 

0.7 

0.43 

0.39 

0.3 

0.77 

t 

Coryphaenoides  filifer 
Unidentified  Macrouridae 

0.1 
0.8 

0.09 
0.60 

0.04 
1.57 

Euphausiacea 

1.8 

4.90 

t 

Icelidae 

Thysanoessa  inermis 

1.2 

3.78 

t 

Icelus  spiniger 

0.1 

0.09 

0.03 

Unidentified  Euphausiacea 

0.6 

1.12 

t 

Cottidae 

0.2 

0.18 

0.21 

Decapoda 

Dasycottus  setiger 

0.1 

0.09 

0.20 

Caridea 

2.4 

3.79 

0.15 

Hemitripterus  boline 

0.1 

0.09 

0.01 

Pasiphaeidae 

Cyclopteridae 

0.6 

0.35 

1.73 

Pasiphaea  pacifica 

0.1 

0.09 

t 

Aptocyclus  venthcosus 

0.1 

0.09 

0.55 

Hippolytidae 

0.4 

2.58 

0.06 

Careproctus  cypselurus 

0.1 

0.09 

0.82 

Eualus  sp. 

03 

2.06 

0.04 

Unidentified  Cyclopteridae 

0.3 

0.17 

036 

Eualus  biunguis 

0.3 

0.52 

0.02 

Stichaeidae 

0.7 

0.43 

0.09 

Panadalidae 

1.2 

0.78 

0.08 

Lumpenus  maculatus 

0.3 

0.17 

0.04 

Pandalus  sp. 

0.8 

0.52 

0.04 

Unidentified  Stichaeidae 

0.4 

0.26 

0.05 

Pandalopsis  dispar 

0.3 

0.17 

0.03 

Pleuronectidae 

Unidentified  Pandalidae 

0.1 

0.09 

0.01 

Reinhardtius  liippoglossoides 

0.6 

0.34 

1.60 

Crangonidae 

Unidentified  Teleostei 

20.6 

12.88 

5.02 

Crangon  communis 

0.3 

0.17 

0.01 

Unidentified  Caridea 

0.3 

0.17 

t 

Unidentified  organic  material 

0.3 

0.17 

t 

Reptantia 

0.4 

0.27 

0.25 

Total  number  of  stomachs 

1,333 

Anomura 

Total  stomachs  with  food 

723 

Paralithodes  sp. 

0.1 

0.09 

0.14 

Total  prey  weight  (g) 

47,713.52 

Brachyura 

0.3 

0.18 

0.11 

Total  prey  number 

1,165 

Chionoecetes  sp. 

0.1 

0.09 

0.08 

Chionoecetes  opilio 

0.1 

0.09 

0.03 

Unidentified  Crustacea 

0.1 

0.09 

t 

nant  prey  in  the  diet  due  to  the  consumption  of 
walleye  pollock  by  Greenland  halibut  >70  cm;  how- 
ever, cephalopods  and  other  fishes  were  more  im- 
portant than  gadids  for  the  two  smaller  size  groups. 

Depth  4  (^600  m) 

No  stomachs  were  collected  for  fish  smaller  than 
30  cm  in  this  depth  group  (Fig.  2D).  For  size  groups 


30-49  cm,  cephalopods  were  the  dominant  prey 
(56%)  of  Greenland  halibut  in  terms  of  percent  by 
weight,  followed  by  bathylagids  at  29%.  However, 
the  percent  of  number  and  the  percent  of  frequency 
of  occurrence  of  bathylagids  (FOG  in  Figure  2D,  up- 
per left)  were  higher  than  those  of  the  cephalopods. 
The  stomach  contents  (by  weight)  of  Greenland 
halibut  50-69  cm  long  was  composed  of  57% 
cephalopods,  22%  macrourids,  12%  bathylagids,  4% 


679 


KISHKkV  mi.LKTIN:  VOL.  S(i.  NO.  -1 


<20  cm 

S=  37,  NE  =  20 


DEPTH    1 
(<200m) 


200 


20    29  cm 
S=  23.  NE 


12 


100-| 
80- 

%N    60- 
40 

20-{: 

0 


20-::! 

60-: 
80  4 
100 


0 


~i — r 


1 — I — r 
100 

%F.O. 


200 


30-49  cm 

S=  120,  NE  =  82 


%W 


100 
%F.O. 


%N 


%W 


50-69  cm 

S=  60,  NE  =  44 

100 -, 

100  — 


I      r 


0 


100 
%F.O. 


LEGEND 

■:■>■>'■> 

GAD 

EUP 

CEP 

FOG 

CRU 

OTH 

m 

200 


>70cm 

S  =  4,  NE  =  3 


%N 


100 

80-): 

60- 
40 
20 
0 


%W 


60 

80- 

100- 
0 


20 -f::::::i::;:;:;:;x::;' "'■"■' 

40 


i      1     r 


^n — ^-r 


100 

%F.O. 


200 


All  sizes  combined 
S=  244,  NE  =  161 


%N 


100 
80 
60 
40-1 
20 
0 


%W 


|«v«ti«ffi«'>^ia*i 


•:::-:-:-::::::::::::::-t^ 


20 -•xi:;:;:;:;:;:::;:::::;:;:;: 

60-: 

80 -|:;:::::;:;:;:;:;:;:;:;:::;:;:;^ 

100- 


0 


I  r 


"I — 1 — r 


100 
%F.O. 


— I 
200 


Figure  2.  — Percent  of  frequency  of  occurrence  (%F0),  percent  of  prey  number  (%Af),  and  percent  of  stomach  content  weight 
(%W)  of  major  prey  items  in  the  stomach  contents  of  Greenland  halibut  (by  depth  and  by  size).  S,  total  number  of  stomachs; 
NE,  nonempties;  %F0,  GAD,  Gadids;  EUP,  Euphausiids;  CEP,  Cephalopod;  FOG,  Fish  other  than  gadids;  CRU,  Crustacean; 
OTH,  Others.    A)  Depth  1. 


680 


YANG  and  LIVINGSTON:  FOOD  HABITS  OF  GREENLAND  HALIBUT 

DEPTH  2 
(200-399  m) 


%N 


100 
80- 
60- 
40- 
20- 

0 
20 


30-49  cm 
S=26,  NE 


%W 


40- 

60- 

80 

100 


0 


I      I     1 


100 
%F.O. 


>  70  cm 

S=  19.  NE  =  9 


100 
80-1 


%N 


%W 


.•.•.•.•.•.••■•■•I 


60 -■:::::•::: 

0- 


40 

80- 
100- 


I     I     I     I 


200 


~^ — 1 — 1 — I — I — I — r 
0  100 

%.F.O. 


200 


50-69  cm 

S-  71,  NE  =  33 


B 


%w 


%N 


%W 


All  sizes  combined 
S=  118,  NE  =  49 

100-, 

80- 
60- 
40- 
20 
0 
20 -fJ 
40- 
60- 
80- 
100 


lYtr'.'.'r 


0 


l — \ — I — 
100 

%F.O. 


LEGEND 

GAD 

EUP 

CEP 

FOG 

CRU 

OTH 

!*!'I*!'I*I* 

P 

■ 

200 


Figure  2— Continued.— '^)  Depth  2. 


681 


KlSllKKV  HILLKTIN:  VOL.  Hti.  NO.  4 


DEPTH  3 
(400 -599  m) 


30-49  cm 

S=  193,  NE  =  88 


lOOn 


%N 


60- 
40- 


%W 


20- 
40- 
60- 
80- 
100 


20— T!v!v' :•:■:■:■:■:■:  :':■ 
0 


^^^^^^^ 


=L 


0 


1 — \ — \ — r 


100 
%F.O. 


>7Gcm 

S=  140,  NE  =  101 


100-1 
80 


%N 


„„      mill. 


40-;: 
20  4 
0 


%W 


80 -t 

100 


t  i  i  1  i'i'iiwW'i 


4o-g!:ixixix!x:::::x 


'"-••t •' 


1 — I — I — I — r~ 
0  100 

%F.O. 


1 — \ — r 


200 


200 


50-69  cm 

S  =  400,  NE  =  239 


%N 


%W 


luu— 1 

80- 

60- 

40- 

2U- 

U 

20- 
40- 

60- 
80- 

1  nn 

IU(J-| 

1 

1    1    1 

1 

1    1    1    1    1 

0 


100 
%F.O. 


All  sizes  combined 
S=  734,  NE  =  428 

100- 

80-1 


o/^,    BOH 


%N 


40- 

20-|:i 
0 
20 


%W 


60- 

80- 

100- 


■■  V  ■  ■  ■  * 


3 


0 


1 — I — r 
100 

%F.O. 


200 


LEGEND 

GAD 

EUP 

CEP 

FOG 

CRU 

OTH 

'^^ 

200 


Figure  2.-Continued.-C)  Depth  3. 


682 


YAi\(;  and  LIVINGSTON:  FOOD  HABITS  OF  (;REKNLAND  HALIBIT 

DEPTH  4 
(^600  m) 


30-49  cm 
S=  11,  NE  =  5 


%N 


%W 


80- 

60- 

40- 

20- 

^  (  , 

n 

:    : : : :  : 

u 

/  / , 

20- 

40- 

60- 

80- 

inn 

1    1     1 

I 

1 

1      1       1       1 

0 


100 
%F.O. 


%N 


>  70  cm 
S=  87,  NE  =  40 
100-1 

80- 
60 


40 


2o-:ii:iiii:::ig:i:i:i:ii::i 

X'X'X'.v.v.'.'.v 


0 


%w 


60- 

80- 

100- 


•:•:•:•:•:•:•:•:•:*.'.'.'.'. 


:i:::::::x:S?x-ri 


4oJfe:i:i:!:i:i:i:::x:::::: 


0 


1 — I — r 


100 
%F.O. 


200 


1 — \ — r 


200 


50-69  cm 

S=  139,  NE  =  40 

100 -, 


%w 


%N 


;  I ; ; ; ; ; ;  -^ 


%w 


All  sizes  combined 
S=  237,  NE  =  85 
100- 

80- 

60- 

40- 

20- 

0 

90  —  .v.v.v.v 
'-  ^      '.•.'.•.•.:•.•.: 

40-;::::::::::i^ 

60-;;:;:;:;:;:;:;:;! 

80- 

100 1-^ 


D 


200 


LEGEND 


/  /  /  A 


•  GAD 
^  EUP 
CEP 
FOG 
CRU 
OTH 


1 — \ — \ — r 

100 
%F.O. 


200 


Figure  1— Continued— Y))  Depth  4. 


683 


FISllKKV  HULLETIN:  VOL.  86.  NO.  4 


myctophids,  and  0.6%  stichaeids.  In  terms  of 
percent  by  number  and  the  percent  of  frequency  of 
occurrence,  the  fishes  other  than  gadids  (FOG  in 
Figure  2D)  were  more  important  than  the  cepha- 
lopods.  No  gadids  were  found  in  either  the  30-49 
cm  group  or  the  50-69  cm  group  of  fishes;  however, 
they  were  the  dominant  prey  (75%  by  weight,  64% 
by  number,  and  73%  by  frequency  of  occurrence) 
of  Greenland  haUbut  >70  cm  (Fig.  2D,  lower  left) 
as  in  the  other  three  depth  groups  (Fig.  2A,B,C, 
lower  left).  Other  food  in  this  size  group  included 
macrourids,  cyclopterids,  and  pleuronectids.  Even 
though  gadids  did  not  occur  in  the  two  smaller  size 
groups,  they  were  important  in  the  Depth  4  group 
as  a  whole  (Fig.  2D,  lower  right). 

Trends  in  Fish  Consumption 

The  size  of  the  walleye  pollock  consumed  by 
Greenland  halibut  increased  dramatically  with  pred- 


ator size  (Fig.  3).  The  relationship  appears  linear 
with  r^  =  0.835.  Based  on  the  age-length  key  for 
walleye  pollock  (Halliday  and  Umeda  1986),  the  wall- 
eye pollock  eaten  by  Greenland  halibut  were  approx- 
imately age  0  and  age  1  for  smaller  size  fish  (<50 
cm),  age  1  and  age  2  for  medium  size  fish  (50-69 
cm),  and  age  3  and  age  4  for  the  fish  >70  cm 
(Fig.  4). 

The  importance  of  prey  fishes  in  the  diet  of  Green- 
land halibut  appears  to  be  depth  related  (Table  2). 
Clupeids  disappear  from  the  diet  in  waters  >200  m 
deep,  while  gadids  are  important  in  all  depths  but 
occur  most  frquently  (85%FO),  and  comprise  most 
of  the  diet  both  in  number  and  weight  (65%  and 
93%,  respectively),  in  the  area  <200  m  deep.  Zoar- 
cids  appear  in  stomachs  only  in  the  area  200-600 
m  deep,  and  bathylagids  start  appearing  at  200-399 
m  and  increase  in  importance  as  the  water  depth 
increases.  Myctophids  seem  to  be  more  important 
in  the  area  400-599  m  than  in  the  other  depths. 


500 
450 

400- 

'§     350- 

E 

-P.     300 


WALLEYE  POLLOCK 


Y  = 

=  5.5686  X- 

-97.972 

r^ 

=  0.835 

n  = 

167 

A  A.       A 


20  40  60  80 

Predator  fork  length  (cm) 


100 


Figure  3.— Scatter  plot  of  the  fork  length  of  walleye  pollock  that  were  consumed  by  Greenland 
halibut  of  different  sizes  in  the  eastern  Bering  Sea. 


684 


XI- 


n  =  40 


YANC;  and  LIVINGSTON:  FOOD  HABITS  OF  GREENLAND  HALIBUT 
16 

1  2  —    n  =  64 

8 

4^ 

0 
12- 

8- 
4 

0 
12 

^      8 

OJ 

3 

Q)         4  — 


0 

12H 

8 

4-1 
0 
12- 
8- 
4 
0 


IH 


nmH 


rn  n.n  n 


r^^^ 


n  =  1 


_n_ 


n-4 


Predator 
fork  length 

>70cm 


50-69  cm 


30-49  cm 


20-29  cm 


<  20  cm 


0 


50 


100 


150 


200 


250 


300 


350 


400 


450 


Prey  pollock  fork  length  (mm) 
FiGi'RE  4.— Length-frequency  distributions  of  walleye  pollock  consumed  by  Greenland  halibut  in  the  eastern  Bering  Sea. 


while  macrourids  are  important  prey  in  even  deeper 
waters  (^600  m). 

Trends  in  Stomach  Fullness 

Fewer  empty  stomachs  were  found  in  summer 
than  in  spring  and  autumn  except  in  the  ^70  cm  size 
group  (Fig.  5).  The  occurrence  of  empty  stomachs 
for  all  size  groups  was  about  35%  in  summer  and 


50%  in  autumn.  In  spring,  samples  from  the  30-49 
cm  size  group  had  the  greatest  percentage  of  empty 
stomachs  (about  70%),  followed  by  size  groups  50-69 
cm  (about  58%)  and  >70  cm  (about  12%). 

There  were  no  apparent  diel  trends  in  stomach 
content  weight  in  this  study  (Fig.  6).  The  stomach 
content  weight  (expressed  as  percentage  of  body 
weight)  for  large  fish  (^70  cm)  was  fairly  constant 
except  for   the   0900-1200   h   time   period.   The 


685 


FISHERY  BULLETIN:  VOL.  m.  NO.  J 


Table  2  —Importance  of  the  prey  fish  by  depth  found  in  the  stomachs  of  Greenland  halibut  collected  from  the  eastern  Bering  Sea. 
=  percent  frequency  of  occurrence,  %N  =  percent  by  number,  %W  =  percent  by  weight. 


%F0 


Depth  1 

Depth  2 

Depth  3 

Depth  4 

«200  m) 

(200-399  m) 

(400-599  m) 

(>600  m) 

Prey  fish 

%F0 

o/oN 

%W 

%F0 

%/V 

o/oW 

%F0 

o/oN 

o/oW 

%F0 
00 

%N 
00 

%W 

Clupeidae 

0.6 

0.3 

2.8 

0.0 

0.0 

0.0 

0.0 

0.0 

0.0 

0.0 

Osmeridae 

0.6 

0.3 

0.1 

0.0 

0.0 

0.0 

0.0 

0.0 

0.0 

0.0 

0.0 

0.0 

Stichaeidae 

1.2 

0.7 

0.4 

0.0 

0.0 

0.0 

0.5 

0.3 

0.1 

1.2 

0.7 

0.1 

Gadidae 

85.1 

64.9 

92.7 

36.7 

26.5 

36.2 

45.3 

31.4 

64.4 

42.4 

25.2 

679 

Zoarcidae 

0.0 

0.0 

0.0 

8.2 

8.8 

7.0 

7.4 

6.5 

4.8 

0.0 

0.0 

0.0 

Bathylagidae 

0.0 

0.0 

0.0 

6.1 

5.9 

0,1 

9.8 

9.4 

0.5 

11.8 

21.7 

2.1 

Myctophidae 

0.6 

0.3 

0.1 

4.1 

4.4 

0.2 

7.2 

11.1 

1.3 

2.4 

2.8 

0.4 

Cottoidei 

0.0 

0.0 

0.0 

0.0 

0.0 

0.0 

0.6 

0.5 

0.4 

0.0 

0.0 

0.0 

lylacrouridae 

0.6 

0.3 

0.5 

0.0 

0.0 

0.0 

0.9 

0.8 

1.1 

8.3 

4.9 

9.4 

Cyclopteridae 

0.0 

0.0 

0.0 

0.0 

0.0 

0.0 

0.7 

0.5 

1.4 

1.2 

0.7 

6.0 

Pleuronectidae 

0.0 

0.0 

0.0 

2.0 

1.5 

6.0 

0.2 

0.2 

0.9 

2.4 

1.4 

4.7 

lOOf- 


90 


c 
o 

Q. 


u 

03 

E 
o 


Q. 

E 

LU 


80 


70 


60 


50 


40 


30  - 


20 


10  - 


Predator 

— 

fork 

length 

—  30-49  cm 

— 

—  50-69  cm 

98 



--  >70cm 

— 

\ 
\ 
\ 

\ 

227 
^114 
^.-^59 

— 

^^^'"' 

— 

344^^' 

^^^ 

-'ioB 

28'-''' 

, 

1                            1 

Spring 


Summer 


Autumn 


Figure  5.— Percent  of  empty  stomachs  by  season  and  Greenland  halibut  size.  (Numbers  are 

sample  sizes.) 


stomach  content  weight  of  the  fish  50-69  cm  was 
also  fairly  constant  although  much  less  than  in  the 
larger  fish.  Although  a  midday  drop  in  stomach  con- 
tent weight  occurred  in  the  two  larger  size  groups, 
stomach  content  weight  for  the  smallest  size  group 
appeared  to  steadily  increase  from  0100  h  to  1200 
h.  The  stomach  content  weight  was  highest  but  most 
variable  in  size  group  30-49  cm  during  the 
1500-1800  h  time  period. 


Daily  Ration 

The  mean  stomach  content  weight  and  the  daily 
ration  varied  among  three  size  groups  of  Greenland 
halibut  (Table  3).  By  percent  body  weight,  the  mean 
stomach  content  weight  for  30-49  cm  and  50-69  cm 
size  groups  were  1.4%  and  1.3%  respectively.  Fish 
^70  cm  had  the  greatest  mean  stomach  content 
weight  (2.4%  of  body  weight).  Since  gastric  evacu- 


686 


YAN(;  anri  LIVINGSTON:  FOOD  HABITS  OF  GREENLAND  HALIBIT 


Table  3— Daily  ration  (D  R )  and  mean  stomach  content  weight 
(%BW  ±  SE)  of  Greenland  halibut  during  each  3-h  period.  BW 
=  body  weight;  N  =  No.  of  stomachs  (including  empty  stomachs). 


Size  class 

Time 

Mean  stomach  content 

(Temperature) 

period 

N 

weight  (%BW  ±  SE) 

30-49  cm 

2400-0300 

64 

0.4700  ±0.1 772 

(2.64°C) 

0300-0600 

21 

0.9537  +  0.4470 

fish  as  prey 

0600-0900 

44 

1.1542  +  0.2926 

a  =  0.0143 

0900-1200 

59 

1.7173  +  0.3097 

R  =  0.0194 

1200-1500 

27 

1.8937  +  0.5661 

DR.    =   0.6644 

1500-1800 

52 

2.5844+1.4731 

1800-2100 

49 

0.7300  +  0.2425 

squid  as  prey 

2100-2400 

34 

1.9124  +  0.3710 

a  =  0.0079 

R  =  0.0107 

S  =  1 .4270 

D.R.   =  0.3665 

50-69  cm 

2400-0300 

49 

0.9141  +0.1306 

(2.93°C) 

0300-0600 

78 

1.5944  +  0.3292 

+-< 

fish  as  prey 

0600-0900 

108 

1.6596  ±0.3011 

sz 

a  =  0.0143 

0900-1200 

70 

1.0256  +  0.2566 

CT) 

R  =  0.0200 

1200-1500 

70 

1.6406  +  0.2736 

>• 

■o 

DR.   =  0.6380 

1500-1800 

87 

0.8967  +  0.2340 

1800-2100 

97 

1.5372  +  0.3077 

squid  as  prey 

2100-2400 

111 

1.3652  ±0.2646 

o 

a  =  0.0079 

JD 

R  =  0.0111 

S=  1.3292 

C 

D.R    =  0.3541 

u 

>70  cm 

2400-0300 

25 

2.8888  ±0.6365 

(2.96°C) 

0300-0600 

22 

2,4635  ±0.6325 

CO 

fish  as  prey 

0600-0900 

28 

3.2101+0.6714 

C 
+-> 

a  =  0.0143 

0900-1200 

21 

1.0156  +  0.3308 

R  =  0.0201 

1200-1500 

40 

2.8228  ±0.5439 

c 
o 

DR.   =   1.1712 

1500-1800 

40 

1.7294  ±0.4454 

o 

1800-2100 

41 

2.5454  ±0.6559 

^ 

2100-2400 

33 

2.7468  ±0.4782 
S  =  2.4272 

o 

CD 

E 
o 

•1—' 

ation  rate  (/?)  is  affected  by  prey  type,  the  constant 
a,  used  to  calculate  R  for  each  size  group,  was  deter- 
mined by  the  percentage  by  weight  of  the  main  prey 
items  (fish  or  squid).  In  size  group  30-49  cm,  where 
fish  constituted  72%  and  squid  constituted  25%  by 
weight  of  the  diet,  both  a  =  0.0143  (fish  as  prey) 
and  a  =  0.0079  (squid  as  prey)  were  used  for  cal- 
culating R.  For  size  group  50-69  cm,  fish  constituted 
47%  of  the  diet  and  squid  52%,  so  gastric  evacua- 
tion rates  were  also  calculated  by  using  both  a  = 
0.0143  and  a  =  0.0079.  For  size  group  ^70  cm,  prey 
fish  comprised  94%  of  the  diet,  and  a  =  0.0143  was 
used  for  calculating  the  gastric  evacuation  rate. 

Large  Greenland  halibut  (>70  cm)  had  the  highest 
daily  ration  value  (1.17%),  measured  as  percentage 
of  body  weight  per  day  (B  WD),  followed  by  the  size 
group  30-49  cm  (0.66%  BWD).  The  50-59  cm  size 
group  had  the  lowest  daily  ration  value,  0.64%  BWD 


c/^ 


5r 


0 


>70cm 

28 
25 

22 


40 


41      33 


J-      40 


21  t 

} 


J I I L 


3r 


2  - 


1  - 


0 


50-69  cm 
78    108 


97    111 


49 

I 


n|j.,{{ 


J I I L 


30-49  cm 


52 


27 


64 

I 

J L 


44 

5 


59 


34 

I 


■L      49 

i 


J I ■        '         I 


0 


12  18 

Time  (hours) 


24 


Figure  6.— Die)  changes  in  mean  stomach  content  weight  (%BW 
±  SE)  in  the  stomachs  of  three  different  size  groups  of  Greenland 
hahbut  (the  number  above  each  bar  was  the  sample  size). 


687 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


for  fish  prey  and  0.35%  BWD  for  squid  prey.  Since, 
fish  and  squid  each  constituted  about  one  half  of  the 
stomach  contents  by  weight  in  this  size  group,  the 
actual  daily  ration  lies  within  the  range  of  the  two 
values,  0.64%  and  0.35%. 

DISCUSSION 

This  study  demonstrates  size-dependent  prey  pref- 
erence by  Greenland  halibut;  halibut  <20  cm  fed 
primarily  on  euphausiids  whereas  those  >20  cm 
were  largely  fish  and  squid  eaters.  It  is  not  surpris- 
ing to  find  that  walleye  pollock  was  the  dominant 
prey  (Table  1)  of  Greenland  halibut  because  the  esti- 
mated biomass  of  walleye  pollock  in  the  Bering  Sea 
area  is  about  10,000,000  metric  tons  (Bakkala  and 
Wespestad  1983).  Livingston  et  al.  (1985^,  1986) 
noted  that  walleye  pollock  is  a  major  food  source 
not  only  for  marine  birds,  marine  mammals,  and 
man,  but  also  serves  as  a  major  food  source  for  domi- 
nant components  of  the  eastern  Bering  Sea  ground- 
fish  complex.  Other  studies  have  also  shown  the 
importance  of  walleye  pollock  as  food  of  Greenland 
halibut  (Moiseev  1953:  Mito  1974;  Smith  et  al.  1978) 
in  the  eastern  Bering  Sea. 

In  this  study,  large  Greenland  halibut  (>70  cm) 
ate  fish  almost  exclusively.  Bowering  and  Lilly 
(1985)  found  that  65-69  cm  was  the  length  at  which 
Greenland  halibut  in  the  northwestern  Atlantic 
began  to  switch  from  smaller  pelagic  fish  {Mallotus 
villosus)  to  larger  groundfish  {Gadus  m.orhua,  Sebas- 
tes  sp.,  Anarhichadidae,  Pleuronectidae,  Zoarcidae) 
as  food.  Mikawa  (1963)  noted  increased  piscivory 
with  size  in  Greenland  halibut  sampled  in  several 
areas  of  the  North  Pacific.  Mito  (1974)  also  showed 
the  same  trend;  he  found  that  65-90  cm  Greenland 
halibut  ate  20-40  cm  long  walleye  pollock.  These 
observations  suggest  that  large  Greenland  halibut 
(^70  cm)  feed  on  larger  sized  groundfish  which  may 
be  lower  in  the  water  column  whereas  the  smaller 
Greenland  halibut  (<70  cm)  feed  on  smaller  sized 
pelagic  fish  in  the  upper  water  column. 

Shuntov  (1970)  and  Mikawa  (1963)  noted  seasonal 
depth  migrations  for  Greenland  halibut  and  inter- 
preted the  summer  movement  into  shallower  waters 
as  a  feeding  migration  related  to  migrations  of 
walleye  pollock.  Based  on  the  size  distribution  of 


^Livingston,  P.  A.,  M.  S.  Yang,  and  D.  Wencker.  1985.  The 
importance  of  juvenile  pollock  in  the  diet  of  key  fish  species  in  the 
eastern  Bering  Sea.  Unpubl.  manuscr.,  19  p.  Presented  as  the 
workshop  on  comparative  biology,  assessment,  and  management 
of  gadoids  from  the  North  Pacific  and  Atlantic  Oceans,  24-28  June 
1985.  Northwest  and  Alaska  Fisheries  Center,  National  Marine 
Fisheries  Service,  NOAA,  Seattle,  WA  98115. 


walleye  pollock  in  midwater  trawl  catches  near  the 
Pribilof  Islands  and  westward  over  the  Aleutian 
Basin,  Livingston  and  Dwyer  (1986)  found  that  small 
(age  0)  pollock  occurred  in  near-slope  and  shelf 
areas,  medium  (age  1)  pollock  in  shelf  areas,  while 
larger  (>1  year  old)  pollock  occurred  in  all  areas  dur- 
ing summer.  Therefore,  it  can  be  concluded  that  in 
the  slope  area,  where  juvenile  walleye  pollock  (age 
0  and  1)  of  the  appropriate  size  for  smaller  Green- 
land halibut  were  not  available,  the  smaller  sized 
(30-69  cm)  Greenland  halibut  ate  the  available  prey, 
cephalopods  and  deep-water  fishes,  while  the  larger 
ones  (^70  cm)  consumed  mostly  larger  walleye 
pollock  (>30  cm)  and  other  fish  regardless  of  depth 
or  season. 

No  clear  diel  feeding  trends  were  found.  The  lack 
of  trends  may  be  related  to  the  large  variations  of 
the  time  of  sunrise  and  sunset  in  different  seasons 
in  the  Bering  Sea.  Other  studies  have  varied  find- 
ings. Mito  (1974)  reported  that  Greenland  halibut 
fed  primarily  from  sunset  to  midnight  based  on 
hmited  sample  sizes  (six  specimens  in  some  time 
periods).  Shuntov  (1970)  showed  that  this  species 
fed  continuously  in  the  Okhotsk  Sea,  although  feed- 
ing was  somewhat  higher  during  the  night.  By  com- 
paring day  and  night  catch  rates,  Chumakov  (1969) 
concluded  that  Greenland  halibut  (in  the  Iceland 
area)  made  daily  vertical  migrations  (staying  close 
to  the  bottom  during  the  day  and  moving  up  in  the 
water  column  at  night).  However,  he  did  not  cor- 
relate this  behavior  with  diel  feeding.  Thus,  the 
literature  and  this  study  show  no  definite  diel  feed- 
ing trend  in  Greenland  halibut. 

Daily  Ration 

Daily  ration  calculations  were  based  on  the  evacu- 
ation rate  of  one  prey  item  (pollock  or  squid)  using 
Elliott  and  Persson's  (1978)  model.  Other  authors 
(Durbin  et  al.  1983;  Dwyer  1984)  have  calculated 
total  daily  ration  by  adding  up  the  separate  daily 
rations  of  the  different  prey  items.  Persson  (1984) 
demonstrated  that  the  evacuation  of  a  specific  food 
item  can  be  dependent  on  the  ingestion  of  other  food 
items.  Therefore,  it  may  be  erroneous  to  apply  the 
food  consumption  model  to  estimate  the  consump- 
tion of  individual  prey  types  separately.  Persson 
(1984)  suggested  that  the  only  practical  solution  to 
calculate  the  daily  rations  of  different  prey  items 
is  to  calculate  the  mean  weight  of  each  food  item 
remaining  in  the  digestive  tract  over  24  hours  and 
multiply  the  fraction  it  constitutes  of  the  total  mean 
content  with  the  total  daily  ration.  This  is  necessary 


688 


VANC  and  LIVINGSTON:  FOOD  HABITS  OF  GREENLAND  HALIBIT 


since  the  complexity  of  feeding  and  evacuation  pat- 
terns in  field  populations  of  fish  makes  it  impossi- 
ble to  estimate  the  consumption  and  evacuation  of 
different  food  items  ingested  at  different  times. 

Bowering  and  Lilly  (1985)  estimated  the  consump- 
tion rate  of  capelin,  Mallotiis  vUlosus,  by  Greenland 
halibut  in  the  northwestern  Atlantic,  using  esti- 
mates of  gastric  evacuation  rate  for  Atlantic  cod, 
Gadus  morhua,  on  capelin  from  Minet  and  Pero- 
dou's  (1978)  study.  Assuming  a  linear  gastric  evacu- 
ation model,  they  found  the  time  for  Greenland 
halibut  to  complete  digestion  of  capelin  at  2°-3°C 
was  3-5  days.  By  using  the  gastric  evacuation  rate 
calculated  from  this  study,  the  time  needed  by  large 
Greenland  halibut  (^70  cm)  to  evacuate  99%  of  a 
pollock  meal  at  3°C  was  4.2  days,  a  value  very 
similar  to  Bowering  and  Lilly's  (1985)  estimate. 

Livingston  and  Dwyer  (1986'^)  calculated  an  aver- 
age daily  ration  for  arrowtooth  flounder  of  0.62% 
of  body  weight  per  day.  This  value  is  close  to  the 
daily  ration  values  calculated  from  this  study.  Since 
Greenland  halibut  and  arrowtooth  flounder  are  eco- 
logically and  morphologically  similar  species,  it  is 
not  surprising  to  find  their  daily  ration  needs  are 
similar. 

Huebner  and  Langton  (1982)  performed  a  gastric 
evacuation  study  on  winter  flounder,  Pseudopleuro- 
nectes  americanus.  They  used  squid  as  food  for  fish 
10-40  cm  at  5.5°-7.0°C  to  get  a  gastric  evacuation 
rate  of  0.079/h  and  calculated  daily  ration  in  the 
range  of  1.8-2.4%  BWD.  Compared  to  these  values, 
the  daily  ration  of  Greenland  halibut  calculated  in 
this  study  is  low,  possibly  due  to  the  lower  temper- 
atures in  this  study. 

Greenland  halibut  ^70  cm  apparently  ate  a  higher 
daily  ration  (1.17%  of  body  weight  per  day)  than  did 
those  <70  cm  (0.66%  and  0.64%  BWD  for  size  group 
30-49  cm  and  50-69  cm,  respectively).  Flowerdew 
and  Grove  (1979)  studied  the  effects  of  body  weight 
and  meal  size  on  gastric  emptying  time  in  the  turbot, 
Scophthalmus  maximus.  Their  results  showed  that 
large  fish  emptied  a  meal  of  a  given  size  from  the 
stomach  at  a  faster  rate  than  small  fish,  and  large 
meals  in  a  given  fish  were  processed  at  faster  rate 
than  small  meals.  Dwyer  (1984)  also  found  a  higher 
daily  ration  value  for  larger  walleye  pollock  in  the 


•'Livingston,  P.  A.,  and  D.  A.  Dwyer.  1986.  Food  web  inter- 
actions of  key  predatory  fish  with  northern  fur  seal,  CallorhinMs 
ursinus.  in  the  eastern  Bering  Sea  during  summer  1985.  In  T.  R. 
Loughlin  and  P.  A.  Livingston  (editors),  Summan,'  of  joint  research 
on  the  diets  of  northern  fur  seals  and  fish  in  the  Bering  Sea  dur- 
ing 1985,  p.  57-92.  INTWAFC  86-19.  Northwest  and  Alaska  Fish- 
eries Center,  National  Marine  Fisheries  Service,  NOAA,  7600  Sand 
Point  Way  N.E.,  Seattle,  WA  98115. 


eastern  Bering  Sea.  However,  Windell  (1978)  stated 
that  small  fish  generally  consume  proportionately 
more  food  per  unit  weight,  and  some  studies  showed 
this  trend;  Daan  (1973)  used  a  prey  size  dependent 
evacuation  model  and  found  that  ration  decreased 
with  increasing  fish  size  for  North  Sea  Atlantic  cod. 
Huebner  and  Langton  (1982)  calculated  daily  ration 
of  winter  flounder  and  found  the  largest  fish  (>300 
g)  had  the  smallest  ration.  Other  studies  (Elliott 
1972;  Hofer  et  al.  1982)  showed  that  predator  size 
and  meal  size  have  little  or  no  effects  on  gastric 
evacuation  rate.  Durbin  and  Durbin  (1980)  concluded 
from  an  extensive  review  of  daily  ration  studies  that 
particle  size  and  meal  size  relationships  on  gastric 
evacuation  rates  deserve  further  study.  Since  the 
>70  cm  Greenland  halibut  in  this  study,  which  had 
the  highest  daily  ration,  also  consumed  much  larger 
walleye  pollock  than  the  other  predator  size  groups, 
a  particle  size  interaction  with  gastric  evacuation 
rate  seems  a  likely  avenue  for  further  research. 

ACKNOWLEDGMENTS 

We  are  grateful  to  Sandra  Noel,  Karen  Conlan, 
and  Wendy  Carlson  for  their  excellent  work  on  the 
figures.  Thanks  also  go  to  Doug  Milward  and  Geoff 
Lang  for  their  assistance  on  the  stomach  content 
analyses.  We  also  want  to  thank  the  two  reviewers 
for  their  comments  on  the  earlier  manuscript. 

LITERATURE  CITED 

Bakkala,  R.  G.,  and  V.  G.  Wespestad. 

1983.    Walleye  pollock.    In  R.  G.  Bakkala  and  L.  L.  Low 

(editors),  Condition  of  groundfish  resources  of  the  eastern 

Bering  Sea  and  Aleutian  Islands  region  in  1982,  p.  1-27. 

U.S.  Dep.  Commer.,  NOAA  Tech.  Memo.  NMFS  F/N\VC-42. 

Bowering,  W.  R.,  and  G.  R.  Lilly. 

1985.    Diet  of  Greenland  halibut  off  southern  Labrador  and 
northeastern  Newfoundland  (Div.  2J-I-3K)  in  autumn  of 
1981-82,  emphasizing  predation  on  capelin.    Northwest  Atl. 
Fish.  Org.  SCR  Doc.  85/109,  Ser.  No.  N1085,  16  p. 
Chumakov,  a.  K. 

1969.    The  Greenland  halibut  Reinhardtius  hippoglossoides 
(Walbaimi)  in  the  Iceland  area— the  halibut  fisheries  and  tag- 
ging.   J.  Ichthyol.  9:909-912.    (Engl.  Transl.  Vopr.  Ikhtiol.) 
Daan,  N. 

1973.    A  quantitative  analysis  of  the  food  intake  of  North  Sea 
cod,  Gadus  morhua.    Neth.  J.  Sea  Res.  6:479-517. 
Durbin,  E.  G..  and  A.  G.  Durbin. 

1980.    Some  factors  affecting  gastric  evacuation  rates  in 
fishes.    Int.  Counc.  Explor.  Sea  CM.  1980/L:59. 
Durbin.  E.  G.,  A.  G.  Durbin,  R.  W.  Langton.  and  R.  E. 
Bowman. 
1983.    Stomach  contents  of  silver  hake,  Merltuccius  bilinearis, 
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DWYER,  D.  A. 

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1972.  Rates  of  gastric  evacuation  in  brown  trout,  Salmo  trut- 
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Elliott,  J.  M.,  and  L.  Persson. 

1978.  The  estimation  of  daily  rates  of  food  consumption  for 
fish.    J.  Anim.  Ecol.  47:977-991. 

Flowerdew,  M.  W.,  and  D.  J.  Grove. 

1979.  Some  observations  on  the  effects  of  body  weight, 
temperature,  meal  size  and  quality  on  gastric  emptying  time 
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Halliday,  K.,  and  Y.  Umeda. 

1986.    Data  Report:  1984  bottom  trawl  survey  of  the  eastern 

Bering  Sea  continental  shelf.    U.S.  Dep.  Commer.,  NOAA 

Tech.  Memo.  NMFS  F/NWC-108,  203  p. 
Hart,  J.  L. 

1973.  Pacific  fishes  of  Canada.  Bull.  Fish.  Res.  Board  Can. 
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Haug,  T.,  and  B.  Gulliksen. 

1982.    Size,  age,  occurrence,  growth,  and  food  of  Greenland 
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1982.    Duration  of  gut  passage  and  its  dependence  on  tem- 
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Huebner,  J.  D.,  and  R.  W.  Langton. 

1982.    Rate  of  gastric  evacuation  for  winter  flounder,  Pseudo- 
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Livingston,  P.  A.,  D.  A.  Dwyer,  D.  L.  Wencker,  M.  S.  Yang, 
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1986.    Trophic  interactions  of  key  fish  species  in  the  eastern 
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Mikawa,  M. 

1963.  Ecology  of  the  lesser  halibut,  Reinhardtius  hippo- 
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Reg.  Fish.  Lab.  29:1-41. 

MiNET,  J.  P.,  AND  J.  B.  PeRODOU. 

1978.  Predation  of  cod,  Gadus  morhua,  on  capelin,  Mallotus 
villosus,  off  eastern  Newfoundland  and  in  the  Gulf  of  St. 


Lawrence.     Int.  Comm.  Northwest  Atl.  Fish.  Res.  Bull. 
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MiTO,  K. 

1974.    Food  relationships  among  benthic  fish  populations  in 
the  Bering  Sea.    M.S.  Thesis,  Hokkaido  Univ.,  Hokkaido, 
Jpn. 
Moiseev,  p.  a. 

1953.  Treska  i  Kambaly  dalnevestochnykh  morei  (Cod  and 
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40:1-287.  (Transl.  by  Transl.  Bur.  Can.  Dep.  Seer.  State, 
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1967.    Occurrence  of  (Greenland  halibut  and  Asiatic  flounder 
off  Oregon.    Fish.  Comm.  Oreg.,  Res.  Brief  13:123-124. 
Persson,  L. 

1984.    Food  evacuation  and  models  for  multiple  meals  in 
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Schmidt,  P.  J. 

1934.    On  the  zoogeographical  distribution  of  the  chief  marine 
food  fishes  in  the  western  part  of  the  North  Pacific.    Proc. 
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Shmidt,  P.  Y. 

1950.    Fishes  of  the  Sea  of  Okhotsk.    Acad.  Sci.  U.S.S.R. 
Trans.  Pac.  Comm.,  Vol.  VI.    (Transl.  from  Russian  by 
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1970.  Sezonnoe  respredelenie  chernogo  i  strlozubykh 
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and  arrow-tooth  halibuts  in  the  Bering  Sea).  [In  Russ.]  Tr. 
Vses.  Nauchno-Issled.  Inst.  Morsk.  Rybn.  Khoz,  Okeanogr. 
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Okeanogr.  72):391-401.  [Transl.  by  Isr.  Program  Sci. 
Transl.,  1972,  hi  P.  A.  Moiseev  (editor),  Soviet  fisheries  in- 
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Available  Natl.  Tech.  Inf.  Serv.,  Springfield,  VA,  as  TT 
71-501271.] 
Smith,  R.  L.,  A.  C.  Paulson,  and  J.  R.  Rose. 

1978.    Food  and  feeding  relationships  in  the  benthic  and 
demersal  fishes  of  the  Gulf  of  Alaska  and  Bering  Sea.    Final 
Report  to  NOAA  RU284  OCSEAP.    Inst.  Mar.  Sci.,  Univ. 
Alaska,  p.  33-107.    Vol.  1  June  1978. 
VoDOPOViCH,  D.  S.,  and  J.  J.  Hoover. 

1981.    A  computer  program  for  integrated  feeding  ecology 
analyses.    Bull.  Mar.  Sci.  31:922-925. 
Westrkeim,  S.  J.,  AND  F.  T.  Fletcher. 

1966.    First  record  of  the  twoline  eelpout  Bothrocara  brun- 
neum,  Greenland  halibut,  Reinhardtius  hippoglossoides,  and 
shortbelly  rockfish,  Sebastodes  jordani,  in  British  Columbia 
waters.    J.  Fish.  Res.  Board  Can.  23:309-312. 
Windell,  J.  T. 

1978.  Digestion  and  the  daily  ration  of  fishes.  In  S.  D. 
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159-183.    John  Wiley  and  Sons  (Halsted  Press),  N.Y. 


690 


ASPECTS  OF  THE  BIOLOGY  OF  TWO  SCYLIORHINID  SHARKS, 
APRISTURUS  BRUNNEUS  AND  PARMATURUS  XANIURUS,  FROM 
THE  UPPER  CONTINENTAL  SLOPE  OFF  SOUTHERN  CALIFORNIA 


Jeffrey  N.  Cross' 


ABSTRACT 

The  distribution,  abundance,  reproductive  cycle,  and  food  habits  of  two  scyliorhinid  sharks  are  discussed. 
Catsharks  occurred  on  87%  of  71  longline  sets  and  in  6%  of  48  trawls.  Longline  catches  were  stratified 
by  habitat  into  banks  (hard  substrate)  and  mud  (soft  substrate).  Apristurus  brunneus  occurred  more 
frequently  on  mud  sets  than  on  bank  sets,  but  its  abundance  was  similar  in  both  habitats.  Parmaturus 
xaniuTus  occurred  equally  frequently  on  mud  and  bank  sets,  but  it  was  more  abundant  on  bank  sets. 
Catches  of  both  species  consisted  of  adults  and  adolescents;  juveniles  were  rare  or  absent.  Historical 
collections  suggest  that  juveniles  are  mesopelagic. 

Male  P.  xaniurus  matured  at  a  smaller  size  than  msXeA.  brunneus.  Females  of  both  species  matured 
at  about  the  same  size  and  fecundity  increased  with  female  size.  The  proportion  of  body  weight  devoted 
to  gonads  and  maximum  oocyte  size  were  greater  among  P.  xaniurus,  but  fecundity  and  the  proportion 
of  females  carrying  egg  cases  were  greater  among  A.  brunneus.  Seasonal  changes  in  gonadal  develop- 
ment were  not  well  defined  for  either  species.  Members  of  both  populations  may  have  been  reproduc- 
tively  active  throughout  the  year. 

The  diets  of  both  species  comprised,  in  order  of  importance,  crustaceans,  teleosts,  and  squids.  Most 
prey  consumed  were  pelagic;  however,  it  is  not  known  where  in  the  water  column  the  catsharks  obtained 
their  prey. 


The  Scyliorhinidae  is  the  largest  family  of  living 
sharks  with  about  94  valid  species  (Nelson  1984). 
Commonly  known  as  catsharks,  they  occur  world- 
wide from  tropical  to  cold-temperate  and  arctic 
waters  from  the  intertidal  to  depths  greater  than 
2,000  m.  Little  is  known  about  the  biology  of  most 
scyliorhinid  sharks  despite  their  abundance  and 
widespread  distribution  (Springer  1979;  Compagno 
1984). 

Apristurtis  hrunneus  Gilbert,  the  brown  catshark, 
occurs  in  the  eastern  Pacific  Ocean  from  northern 
British  Columbia,  Canada,  to  northern  Baja  Califor- 
nia, Mexico,  and  perhaps  south  to  Central  America 
and  Peru.  It  is  common  on  the  outer  continental 
shelf  and  upper  slope  off  British  Columbia,  Wash- 
ington, and  northern  California  (Springer  1979)  but 
is  considered  uncommon  off  central  and  southern 
California  (Miller  and  Lea  1972).  DeLacy  and  Chap- 
man (1935)  and  Cox  (1963)  described  its  egg  case. 
Jones  and  Geen  (1977)  made  observations  on  its 
distribution,  reproduction,  and  food  habits  in  British 
Columbia  waters. 


^Southern  California  Coastal  Water  Research  Project,  646  W. 
Pacific  Coast  Highway,  Long  Beach,  CA  90806. 


Parmaturus  xaniurus  Gilbert,  the  filetail  cat- 
shark,  occurs  in  the  eastern  Pacific  Ocean  from  cen- 
tral California  to  the  Gulf  of  California,  Mexico.  It 
is  fairly  common  on  the  outer  continental  shelf  and 
upper  slope  (Compagno  1984).  Cox  (1963)  described 
its  egg  case.  Lee  (1969)  reported  that  juveniles  were 
captured  by  midwater  nets  in  the  Santa  Barbara 
basin  off  southern  California.  Springer  (1979)  re- 
ported that  P.  xaniurus  were  observed  eating  mori- 
bund lanternfishes  (Myctophidae)  at  the  bottom  of 
the  oxygen-poor  Santa  Barbara  Basin. 

The  objective  of  this  study  was  to  increase  the 
knowledge  of  the  life  histories  of  A.  brunneus  and 
P.  xaniurus  by  analyzing  data  on  the  distribution, 
abundance,  reproduction,  and  food  habits  of  these 
species  collected  during  a  survey  of  the  fishes  of  the 
upper  continental  slope  off  southern  California 
(Cross  1987). 

MATERIALS  AND  METHODS 

Fishes  occurring  on  or  near  the  bottom  between 
290  and  625  m  were  collected  by  otter  trawl  and 
longline.  Forty-eight  trawls  were  made  between 
November  1981  and  August  1983  (Fig.  1).  A  single 
warp  semiballoon  trawl  with  7.6  m  headrope,  8.8  m 


Manuscript  accepted  June  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


691 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


PT.  DUME 


1  18'00' 


LOS  ANGELES 


34'00' 


0  5        2°^^       ^° 

KM 


•  OTTER  TRAWL 
LONGLINE 


NEWPORT  BEACH 


DANA  PT. 


Figure  1.— Map  of  the  study  area. 


footrope,  4.1  cm  (stretched)  body  mesh,  and  1.3  cm 
(stretched)  cod  end  liner  was  towed  along  an  isobath 
at  approximately  2.5  knots  for  10  minutes. 

Seventy-one  trips  were  made  with  commercial 
longline  fishermen  between  June  1983  and  Novem- 
ber 1984  (Fig.  1).  A  unit  (tub)  of  longline  gear  con- 
sisted of  about  650  m  of  groundline  bearing  approx- 
imately 600  hooks  (4/0  and  5/0  standard  rockcod)  on 
short  leaders.  Salted  pieces  of  Engraulis  mordax 
and,  to  a  lesser  extent,  Scomber  japonictis  were  used 
as  bait.  Three  to  six  tubs  tied  together  formed  a  set. 
Usually,  lines  were  set  between  the  hours  of  1000 
and  1400  and  retrieved  the  following  day  between 
0600  and  1000. 

Sinking  and  floating  longlines  were  set.  On  sink- 
ing sets,  weights  (bricks)  were  tied  to  either  end  of 
the  groundline  and  at  intervals  along  the  line.  On 


floating  sets,  weights  and  floats  (soda  bottles)  were 
tied  alternately  to  groundline;  the  distance  between 
two  weights  encompassed  50-60  hooks.  Anchors 
and  buoy  lines  were  attached  to  each  end  of  the 
groundline.  Floating  and  sinking  lines  were  set  on 
mud,  but  only  floating  lines  were  set  on  banks.  Sets 
on  the  mud  ranged  from  400  to  600  m  deep;  sets 
on  the  banks  ranged  from  350  to  550  m  deep. 

Scyliorhinid  sharks  were  taken  to  the  laboratory 
where  they  were  measured  to  the  nearest  1  mm  total 
length  (TL)  and  weighed  to  the  nearest  0.1  g.  The 
left  clasper  of  males  was  measured  to  the  nearest 
0.5  mm.  The  gonads  were  removed  and  weighed  to 
the  nearest  0.1  g.  All  eggs  larger  than  4  mm  in  diam- 
eter were  separated  from  the  ovary  and  measured 
to  the  nearest  1  mm.  Stomachs  were  removed  and 
placed  in  10%  buffered  formalin;  the  contents  were 


692 


CROSS:  BIOLOGY  OF  SCYLIORHINID  SHARKS 


washed  in  water,  sorted,  and  identified  to  tlie  lowest 
taxon  practicable;  pieces  of  bait  were  ignored. 

Size  at  sexual  maturity  was  estimated  for  males 
by  change  in  relative  size  of  the  claspers  and  testes, 
and  for  females  by  change  in  relative  size  of  the 
ovaries  and  presence  of  egg  cases  in  the  oviducts 
(Pratt  1979).  Polynomial  regressions  were  fit  to  the 
data  for  males  (SAS  1982).  The  reproductive  season 
was  determined  by  enlarged  testes  in  the  males  and 
the  presence  of  full-sized  eggs  in  the  ovaries  of  the 
females.  The  gonadosomatic  index  (GSI)  was  cal- 
culated for  the  sexes  of  both  species  from 

GSI  =  (gonad  weight/body  weight)  x  100. 

Analyses  of  stomach  data  were  summarized  by  the 
index  of  relative  importance  (IRI)  modified  from 
Pinkas  et  al.  (1971): 

IRI  =  PO{PN  +  PW) 

where  PO  is  percent  occurrence,  PN  is  percent 
numbers,  and  PW  is  percent  weight  calculated  for 
each  prey  category.  The  length  of  intact  prey  was 
measured. 

Catch/effort  data  (where  a  unit  of  effort  was  one 
tub  of  line)  were  transformed  to  logjo  and  analyzed 
for  habitat,  season,  and  depth  differences  by  analysis 
of  covariance  (ANCOVA)  for  unbalanced  designs 
(SAS  1982)  with  habitat  and  season  as  the  main  ef- 
fects and  depth  as  the  covariate.  Catch  per  tub  for 
each  positive  set  was  determined  by  averaging  the 
catches  of  the  constituent  tubs. 

Fish  size  data  were  analyzed  for  habitat,  season, 
and  depth  differences  by  ANCOVA  for  unbalanced 
designs.  The  data  were  not  transformed  because  size 
was  approximately  normally  distributed. 

Geometric  mean  weight-length  regressions  were 
calculated  from  the  logarithmic  transformation  of 

W  =  aL^ 

where  W  is  weight  in  grams,  L  is  total  length  in 
millimeters,  and  a  and  b  are  fitted  constants  (Ricker 
1973).  The  regression  coefficients  (b)  were  compared 
by  the  method  of  Clarke  (1980). 

The  sediments  of  the  upper  continenal  slope  off 
Newport  Beach  are  predominantly  green  silty  clays. 
Sand  content  is  fairly  constant  down  slope  (mean 
=  12%  by  dry  weight);  areas  around  the  offshore 
banks  and  the  shoulders  of  the  submarine  canyons 
are  sandier  (25-50%  by  dry  weight).  Organic  con- 
tent increases  from  5  to  7%  (as  total  volatile  solids) 


at  290  m  to  11-14%  at  625  m  (SCCWRP  19832). 
Between  600  and  700  m,  the  slope  gives  way  to  the 
low-oxygen  San  Pedro  Basin  to  the  northwest  and 
to  the  deeper  San  Diego  Trough  to  the  southeast 
(Fig.  i). 

Longline  fishermen  recognize  two  habitats  on  the 
slope:  hard  substrate  banks  and  soft,  relatively 
featureless  (on  a  fathometer)  mud  bottom.  Surface 
sediments  on  the  banks  are  a  mixture  of  coarse  sand, 
shell  hash,  and  occasional  rocks.  As  used  herein, 
banks  include  submerged  mountains,  shoulders  of 
submarine  canyons,  and  isolated  mounds  as  small 
as  a  few  hundred  meters  across  and  20-30  m  high. 
The  mud  bottom  is  green  silty  clay  and  is  the  pre- 
dominant habitat  on  the  slope. 

Oceanographic  measurements  in  the  water  column 
off  Newport  Beach  showed  weak  and  decreasing 
gradients  with  increasing  depth.  The  mean  annual 
temperature  was  8.3°C  (SD  =  0.3,  N  =  64,  min  = 
7.5,  max  =  9.1)  at  300  m  and  6.5°C  (SD  =  0.2,  N 
=  25,  min  =  6.0,  max  =  6.9)  at  500  m.  Mean  an- 
nual dissolved  oxygen  was  1.21  ppm  (SD  =  0.26,  A'' 
=  54,  min  =  0.76,  max  =  1.94)  at  300  m  and  0.48 
ppm  (SD  =  0.10,  N  =  20,  min  =  0.31,  max  =  0.72) 
at  500  m.  Some  of  the  variation  at  300  m  was  the 
result  of  seasonal  changes  related  to  upwelling.  In 
the  spring,  temperature  and  dissolved  oxygen 
decreased,  and  salinity  and  density  increased 
(SCCWRP  fn.  2). 

RESULTS 

Distribution  and  Abundance 

The  occurrence  of  scyliorhinid  sharks  in  trawl 
catches  was  markedly  different  from  longline 
catches.  Catsharks  were  caught  in  3  (6%)  of  the  48 
otter  trawls.  The  six  individuals  collected  accounted 
for  <0.1%  of  all  fish  caught  in  trawls.  Catsharks 
were  caught  on  62  (87%)  of  the  71  longline  sets  (212 
tubs  of  gear  examined).  The  698  individuals  collected 
accounted  for  5.8%  of  the  fish  caught  (2.8%  of  catch 
weight)  on  longlines. 

Apristurus  brunneus  were  caught  on  50  (70%) 
sets;  475  individuals  were  collected.  Parmaturus 
xaniurus  were  caught  on  53  (75%)  sets;  223  in- 
dividuals were  collected.  The  two  species  occurred 
independently  on  the  tubs  of  longline  gear  (x^  = 
0.39,  P  >  0.05).  They  were  equally  abundant  on  bank 


^SCCWRP.  1983.  A  survey  of  the  slope  off  Orange  County, 
California.  Report  to  Countj'  Sanitation  Districts  of  Orange  Coun- 
ty. Long  Beach:  Southern  California  Coastal  Water  Research 
Project,  208  p. 


693 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


sets  {t  =  0.56,  P  >  0.05),  but  A.  brunneus  were  more 
abundant  than  P.  xaniurus  on  mud  sets  (t  =  3.50, 
P  <  0.01)  (Table  1). 

Apristurus  brunneus  occurred  on  61%  of  the  bank 
sets  and  79%  of  the  mud  sets.  Catches  were  not 
significantly  different  among  habitats,  seasons,  or 
depths  (ANCOVA,  P  >  0.05).  Mean  catch  per  tub 
in  the  mud  habitat  was  not  significantly  different 
between  floating  and  sinking  sets  {t  =  1.35,  P  = 
0.19). 

Parmaturus  xaniurus  occurred  on  73%  of  the 
bank  sets  and  76%  of  the  mud  sets.  Catches  were 
significantly  higher  on  bank  sets  than  on  mud  sets 
(ANCOVA,  P  <  0.05).  Catches  were  nearly  twice  as 
high  on  bank  sets  in  the  winter  compared  with  bank 
sets  in  the  summer.  Catch  increased  with  increas- 
ing depth  on  banks,  but  it  decreased  with  increas- 
ing depth  on  mud.  Catches  on  the  mud  were  not 
significantly  different  between  floating  and  sinking 
sets  {t  =  0.76,  P  =  0.45.). 

Size 

There  were  no  significant  differences  in  the 
regression  coefficients  of  the  weight-length  relation- 
ships between  males  and  females  of  either  A.  brun- 
neus or  P.  xaniurus  over  the  range  of  sizes  ex- 
amined (Table  2;  Fig.  2).  There  were  no  significant 
differences  in  the  size  of  A.  brunnetis  or  P.  xaniurus 
among  habitats,  seasons,  or  depths  (ANCOVA,  P 
>  0.05). 


Table  1  .—Catch  statistics  for  Apristurus  brunneus  and  Parmaturus 
xaniurus  from  longline  collections  on  banks  and  mud.  No^  = 
number,  wt  =  weight  in  kg,  N  =  number  of  positive  sets,  X  = 
mean,  SD  =  one  standard  deviation. 


Banks 

Mud 

Species 

N 

X 

SD 

N 

X 

SD 

A.  brunneus 

No./tub 

20 

2.3 

2.1 

30 

3.7 

4.6 

Wt/tub 

20 

0.9 

0.8 

30 

1.5 

1.8 

P.  xaniurus 

No./tub 

24 

2.0 

2.0 

29 

1.1 

1.1 

Wt/tub 

24 

0.6 

0.6 

29 

0.4 

0.4 

Reproduction 

Based  on  relative  change  in  clasper  length  and 
gonad  weight,  A.  brunneus  males  reached  sexual 
maturity  between  450  and  500  mm  TL;  P.  xaniurus 
males  reached  sexual  maturity  between  375  and  425 
mm  TL  (Fig.  3).  Females  of  both  species  reached 
sexual  maturity  between  425  and  475  mm  TL  (Fig. 
4).  Only  the  right  ovary  was  functional  in  both 
species. 

Seasonal  changes  in  gonadal  development  were 
not  pronounced  among  A.  brunneus.  Male  and 
female  GSIs  were  highest  in  winter  and  lowest  in 
summer  (Fig.  5).  Large  oocytes  were  present  in  the 
right  ovary  of  females  throughout  the  year  (Fig.  6). 


700- 

/ 

MALES y/ 

^-.  600- 

FEMALES / 

c/) 

y       / 

2 

y     / 

O    500- 

y    / 

^-^ 

y    yy^ 

^    400- 

y      yy 
y     yy 

O 

y    yy 

y  y 

UJ    300- 

y    

^ 

y  ^ 

y    y^ 

200- 

y  ^y^^ 

y  ^'^^ 

y      ^ 

100- 

350    400    450    500    550    600    650 


800- 

— 1                1 

/ 
/ 

700- 

/ 
/ 

2    600- 

O 

^  500- 

O    400- 

LiJ 

$    300- 

y^ 

^ 

^ 

/y 

.   y 

/y 
/y 

200- 

100- 

ji , 

_ 

300    350    400    450    500    550    600 
TOTAL  LENGTH  (MM) 

Figure  2.— Weight-length  relationships  oi  A-pristurus  brunneus 
(above)  and  Parmaturus  xaniurus  (below). 


Table  2.— Geometric  mean  weight-length  regressions  for  Apristurus  brunneus  and 
Parmaturus  xaniurus.  N  -  sample  size,  min  =  minimum  total  length  (TL)  in  mm, 
max  =  maximum  TL,  W  =  body  weight  in  g,  /.  =  TL,  LI  =  lower  95%  confidence 
interval  for  b,  L2  =  upper  95%  confidence  interval,  r  =  correlation  coefficient. 


Species       Sex     N     min   max 


W  =  aL^ 


LI 


L2 


A.  brunneus 


P.  xaniurus 


F 
M 

F 
M 


149 
90 

76 
89 


369 
389 

307 
325 


556 
625 

574 
516 


W  =  2.379  X 

W  =  3.577  X 

W  =  9.377  X 

W  =  3.163  X 


10"®  ;  3  059 


2.839 
2.809 

3.045 
3.166 


3.279 
3.134 

3.439 
3.688 


0.899 
0.966 

0.965 
0.934 


694 


CROSS:  BIOLOGY  OF  SCYLIORHINID  SHARKS 


§  50- 

f  40 
O 


y  30 
20 
10 


a: 

Q. 


• 

•  • 

|l|_-^ 

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MW^* 

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CO 

o 


3- 
2- 

••Vt.  •• 

^^-•1 •* 

• 

1- 

n- 

i 

400   450   500   550   600   650 
TOTAL  LENGTH  (MM) 


350     400     450     500 
TOTAL  LENGTH  (MM) 


Figure  3.— Left  clasper  length  and  gonadosomatic  index  (GSI)  versus  total  length  of  male  Apristurus  brunneus 

(left)  and  Parmaturus  xaniurus  (right). 


.%? 


.  .s 


-••-• — •\ 


20- 

iiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiii  . 

< 

Q 

O 
O 
UJ 

15- 

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10- 
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20- 

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s' 
n- 

3S0     400     4S0     SOO     550 
TOTAL  LENGTH  (MM) 


325    375    425    475    525 
TOTAL  LENGTH  (MM) 


575 


Figure  4.— Number  of  oocytes  (>4  mm)  and  maximum  oocyte  diameter  versus  total  length  of  female  Apristurus 
b7~unneus  (left)  and  Parmaturus  xaniurus  (right).  Cross-hatched  bar  indicates  size  of  fish  carrying  egg  cases. 


695 


FISHERY  BULLETIN;  VOL.  86,  NO.  4 


NDJFMAMJJASON 
MONTH 

Figure  5.— Mean  gonadosomatic  index  (GSI)  otApristurus  bruyi- 
neus  males  (above)  and  females  (below)  from  November  1983 
through  November  1984.  Cross-hatched  bar  indicates  months  when 
females  were  carrying  egg  cases.  Vertical  bars  are  95%  confidence 
intervals. 


The  number  of  oocytes  larger  than  4  mm  was  cor- 
related with  size  among  mature  females  (r  =  0.425, 
P  <  0.001);  the  maximum  number  was  29.  Atretic 
oocytes  were  observed  from  March  through  Novem- 
ber and  spent  fish  (no  oocytes  larger  than  2-3  mm; 
N  =  2)  were  collected  in  December  and  July. 

Egg  cases  were  found  in  the  oviducts  of  48  A. 
brunneus  females  larger  than  450  mm  (37%  of 
mature  females);  the  egg  cases  were  not  complete- 
ly formed  in  only  one  individual.  Females  with  egg 
cases  were  collected  every  month  except  February 
and  August  (Fig.  5).  More  mature  females  carried 
egg  cases  from  December  through  May  (42%)  than 
from  June  through  November  (29%),  although  the 
difference  was  not  significant  {)c  =  2.24,  P  >  0.1). 
Egg  case  length  (measured  between  the  tendrils) 
was  correlated  with  female  total  length  (r  =  0.386, 
P  <  0.02).  The  mean  ratio  of  egg  case  length  to 
female  total  length  was  0.114  (SD  =  0.019). 

Seasonal  changes  in  gonadal  development  were 
not  pronounced  among  P.  xaniurus.  Male  GSI  was 
high  throughout  the  year;  female  GSI  was  highest 
in  winter  and  lowest  in  summer  (Fig.  7).  Large 


5  10  15  20 

OOCYTE  DIA  (MM) 

Figure  6.— Mean  monthly  oocyte  (>4  mm)  size- 
frequency  distribution  of  Apristuriis  brunneiis 
from  November  1983  (bottom)  to  November 
1984  (top).  Sample  size  in  parentheses. 


696 


CROSS:  BIOLOGY  OP^  SCYLIORHINID  SHARKS 


^  2- 

CO 

o 

1 


0 


< 

^4-H.^, 

^o 

NOV 
(20) 


^ 


CD 


U1 

7- 

. 

6- 

• 

5- 
4- 

< 

/ 

\ 

• 

3- 
2- 

t 

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/ 

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/ 

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> 

1- 

< 

►^^ 

/ 

/ 

^^< 

> 

nJ 

iriiiiiiMiM 

III 

III 

iiiiiii 

DJFMAMJJASON 
MONTH 

Figure  7.— Mean  gonadosomatic  index  (GSI)  of  Parmaturus 
xaniurus  males  (above)  and  females  (below)  from  December  1983 
through  November  1984.  Cross-hatched  bar  indicates  months  when 
females  were  carrying  egg  cases.  Vertical  bars  are  95%  confidence 
intervals. 


oocytes  were  present  in  the  right  ovary  of  females 
every  month  except  July  (Fig.  8).  The  number  of 
oocytes  larger  than  4  mm  was  correlated  with  size 
among  mature  females  (r  =  0.597,  P  <  0.001);  the 
maximum  number  was  23.  Atretic  oocytes  were  ob- 
served in  May,  August,  and  November  and  spent 
fish  (no  oocytes  larger  than  3-4  mm;  A^  =  3)  were 
collected  in  January  and  March. 

Egg  cases  were  present  in  the  oviducts  of  five  P. 
xaniurus  females  larger  than  470  mm  (10%  of 
mature  females);  the  egg  cases  were  not  complete- 
ly formed  in  one  individual.  One  450  mm  TL  female 
had  recently  released  two  egg  cases  as  evidenced 
by  distended  oviducts.  Egg  cases  were  present  in 
females  collected  in  December,  January,  August, 
and  November  (Fig.  7).  The  mean  ratio  of  egg  case 
length  to  female  total  length  was  0.156  (SD  = 
0.023). 

Food  Habits 

Stomachs  from  211  A.  brunneus  were  examined; 
138  (65%)  were  empty  or  contained  only  traces  of 


OOCYTE  DIA    (MM) 

Figure  8.— Mean  monthly  oocyte  (>4 
mm)  size-frequency  distribution  oi  Par- 
maturus xaniurus  from  December 
1983  (bottom)  to  November  1984  (top). 
Sample  size  in  parentheses. 


well-digested  prey.  There  was  no  seasonal  trend  in 
the  proportion  of  empty  stomachs.  Crustaceans, 
teleosts,  and  molluscs  constituted  the  diets  of  the 
remaining  individuals  (Table  3).  Natantian  decapods 


697 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


Table  3.— Stomach  contents  of  73  Apristurus  brunneus  (mean  size  =  496 
mm  TL,  SD  =  40,  min  =  396,  max  =  619).  PO  =  percent  occurrence,  PN 
=  percent  number,  PW  =  percent  weight,  IRI  =  index  of  relative  importance. 


PO 

PN 

PW 

IRI 

Crustacea 

97.3 

74.2 

67.3 

13,768 

Isopoda 

9.6 

3.0 

0.8 

36 

Epicaridea 

9.6 

3.0 

0.8 

36 

Mysidacea 

1.4 

0.5 

0.4 

1 

Euphausiacea 

6.8 

4.5 

4.5 

61 

Decapoda 

71.2 

61.8 

58.4 

8,558 

Natantia 

61.6 

52.7 

48.9 

6,259 

Penaeidea 

13.7 

7.5 

6.6 

193 

Sergestidae 

12.3 

5.6 

4.7 

127 

Sergestes  similis 

11.0 

4.9 

3.9 

97 

Petalidium  suspiriosum 

1.4 

0.7 

0.8 

2 

Penaeidae 

2.7 

1.9 

1.8 

10 

Bentheogennema  sp. 

2.7 

1.9 

1.8 

10 

Caridea 

45.2 

23.7 

28.8 

2,373 

Pasiphaeidae 

45.2 

23.7 

28.8 

2,373 

Pasiphaea  sp. 

27.4 

14.0 

16.3 

830 

Pasiphaea  pacifica 

13.7 

5.1 

8.3 

184 

Pasiphaea  emarginata 

1.4 

1.4 

1.4 

4 

Reptantia 

15.1 

6.6 

7.8 

217 

Anomura 

15.1 

6.6 

7.8 

217 

Galatheidae 

15.1 

6.6 

7.8 

217 

Pleuroncodes  planipes 

5.5 

1.9 

2.0 

21 

Mollusca 

20.5 

8.4 

11.4 

406 

Pelecypoda 

1.4 

0.3 

0.1 

<1 

Cephalopoda 

19.2 

8.0 

11,2 

369 

Coleoidea 

19.2 

8.0 

11.2 

369 

Decapoda 

19.2 

8.0 

11.2 

369 

Teuthoidea 

19.2 

8.0 

11.2 

369 

Gonatus  sp. 

4.1 

2.5 

3.3 

24 

Abraliopsis  felis 

2.7 

0.8 

1.0 

5 

Loligo  opalescens 

1.4 

0.5 

0.8 

2 

Osteichthyes 

42.5 

16.6 

21.0 

1,598 

tVlyctophidae 

6.8 

3.8 

4.4 

56 

(40%  of  total  IRI),  especially  carideans  of  the  family 
Pasiphaeidae  (15%),  dominated  the  contents.  Tele- 
osts  (10%),  including  myctophids,  were  also  impor- 
tant. Most  fish  remains  in  the  stomachs  were 
digested  beyond  recognition.  Squids  made  up  the  re- 
mainder of  the  diets  (3%).  There  was  no  evidence 
for  a  size-related  change  in  diet;  the  dominant  prey 
occurred  in  all  sizes  of  fish  examined. 

The  stomachs  of  73  A.  brunneus  contained  an 
average  of  2.7  prey  items  (SD  =  1.7,  max  =  10)  and 
the  contents  averaged  0.7%  of  body  weight  (SD  = 
0.4,  max  =  1.99).  Content  weight  was  not  correlated 
with  body  weight  (Spearman  r^  =  0.227,  P  >  0.2), 
and  carapace  length  of  the  most  frequently  occur- 
ring prey,  Pasiphaea  spp.,  was  not  correlated  with 
fish  size  (r,  =  -0.168,  N  =  3S,  P  >  0.2).  Relative 
content  weight  was  not  significantly  different 
among  months  (Kruskal-WaUis  test,  H  =  14.89,  P 
=  0.19). 

Stomachs  from  155  P.  xaniurus  were  examined; 
85  (55%)  were  empty  or  contained  only  traces  of 


well-digested  prey.  There  was  no  seasonal  trend  in 
the  proportion  of  empty  stomachs.  Crustaceans, 
teleosts,  and  molluscs  constituted  the  diets  of  the 
remaining  individuals  (Table  4).  Reptantian  deca- 
pods (36%  of  total  IRI),  particularly  the  galatheid 
Pleuroncodes  planipes  (12%),  dominated  the  con- 
tents. Natantian  decapods  (3%)  and  teleosts  (7%), 
including  myctophids,  were  also  important.  Most 
fish  remains  in  the  stomach  were  digested  beyond 
recognition.  Squids  made  up  a  small  part  of  the  diets 
(<1%).  There  was  no  evidence  for  a  size-related 
change  in  diet;  the  dominant  prey  occurred  in  all 
sizes  of  fish  examined. 

The  stomachs  of  70  Parmaturus  xaniurus  con- 
tained an  average  of  2.4  prey  items  (SD  =  1.3,  max 
=  5)  and  the  contents  averaged  1.2%  of  body  weight 
(SD  =  0.9,  max  =  4.7).  Content  weight  was  corre- 
lated with  body  weight  (Spearman  Vg  =  0.372,  P  < 
0.002).  Relative  content  weight  was  not  significantly 
different  among  months  (Kruskal-Wallis  test,  H  = 
13.26,  P  =  0.35). 


698 


CROSS;  BIOLOGY  OV  SCYLIORHINID  SHARKS 


Table  4.— Stomach  contents  of  70  Parmaturus  xaniurus  (mean  size  =  438 
mm  TL,  SD  =  47,  min  =  341,  max  =  547).  PO  =  percent  occurrence,  PN 
=  percent  number,  PW  =  percent  weight,  IRI  =  Index  of  relative  importance. 


PO 

PN 

PW 

IRI 

Crustacea 

97.1 

75.5 

72.1 

14,332 

Isopoda 

4.3 

1.6 

0.5 

9 

Epicaridea 

4.3 

1.6 

0.5 

9 

Bopyridae 

2.9 

1.0 

0.3 

4 

Munidon  parvum 

2.9 

1.0 

0.3 

4 

Euphausiacea 

24.3 

8.6 

5.4 

340 

Decapoda 

81.4 

56.5 

59.2 

9,421 

Natantia 

21.4 

10.8 

11.9 

486 

Penaeidea 

11.4 

4.6 

4.0 

98 

Sergestidae 

11.4 

4.6 

4.0 

98 

Sergestes  similis 

11.4 

4.6 

4.0 

98 

Caridea 

12.9 

5.0 

7.0 

155 

Pasiphaeidae 

12.9 

5.0 

7.0 

155 

Paslphaea  pacifies 

10.0 

4.0 

5.8 

98 

Reptantia 

67.1 

38.5 

43.4 

5,495 

Anomura 

65.7 

38.2 

43.0 

5,335 

Galatheidae 

65.7 

38.2 

43.0 

5,335 

Pleuroncodes  planipes 

40.0 

21.9 

26.1 

1,920 

Brachyura 

1.4 

0.4 

0.4 

1 

Mollusca 

5.7 

1.4 

1.8 

18 

Cephalopoda 

5.7 

1.4 

1.3 

18 

Coleoidea 

5.7 

1.4 

1.8 

18 

Decapoda 

5.7 

1.4 

1.8 

18 

Teuthoidea 

5.7 

1.4 

1.8 

18 

Osteichthyes 

48.6 

20.8 

25.3 

1,036 

Myctophidae 

10.0 

4.8 

6.1 

109 

DISCUSSION 

Distribution  and  Abundance 

Apristurus  hrunneus  and  Parmaturus  xaniurus 
were  a  common,  though  unwanted,  part  of  the  long- 
line  catch  on  the  upper  continental  slope  off  south- 
ern California.  The  abundance  of  both  species  was 
underestimated  by  trawl.  Among  the  29  species 
(12,074  individuals)  caught  on  longlines,  A.  brunneus 
ranked  7th  in  abundance  and  P.  xaniurus  ranked 
10th.  They  ranked  29th  and  34th,  respectively, 
among  the  42  species  (7,264  individuals)  taken  in 
trawls  (Cross  1987).  The  bias  of  small  trawls  against 
large  demersal  fishes  is  well  known  (Day  and  Pearcy 
1968;  Haedrich  et  al.  1975).  Most  previous  fish  col- 
lections on  the  slope  off  southern  California  were 
taken  with  small  trawls  which  explains  why  these 
sharks  are  not  considered  common. 

Catches  of  A.  hrunneus  and  P.  xaniurus  were 
similar  on  bank  sets,  but  A.  hrunneus  was  more 
abundant  on  mud  sets.  The  two  species  occurred  in- 
dependently at  the  scale  of  one  tub  of  longline  gear 
(about  650  m).  Apristurus  brunneus  was  equally 
abundant  on  mud  and  bank  sets,  and  seasonal  dif- 
ferences in  distribution  and  catch  were  not  appar- 
ent. Parmaturus  xaniurus  was  more  abundant  on 


bank  sets  than  on  mud  sets,  suggesting  some  habitat 
selection.  Catches  of  P.  xaniurus  were  highest  on 
banks  in  the  winter;  the  reason  for  this  is  not  known. 

Juvenile  A.  brunneus  and  P.  xaniurus  were  con- 
spicuously absent  from  longline  and  trawl  collections 
on  the  slope.  Catsharks  are  generally  regarded  as 
demersal  fishes  (Compagno  1984),  but  A.  brunneus 
and  P.  xaniurus  have  been  captured  in  the  water 
column.  An  undisclosed  number  of  A.  brunneus 
larger  than  260  mm  (TL  assumed)  were  collected 
up  to  172  m  above  the  bottom  in  373  m  of  water  off 
British  Columbia,  Canada  (Jones  and  Geen  1977). 
Sixty-nine  P.  xaniurus  (99-320  mm)  were  collected 
in  43  midwater  trawls  from  9  to  490  m  above  the 
bottom  in  527-582  m  of  water  in  the  Santa  Barbara 
Basin,  CA  (Lee  1969).  The  livers  of  P.  xaniurus  con- 
tain a  high  proportion  of  squalene,  a  low  specific 
gravity  oil  that  aids  in  hydrostatic  balance  (Springer 
1979). 

Juveniles  and  adolescents  of  both  species  were 
taken  in  midwater  trawls  in  the  Santa  Barbara 
Basin  (bottom  depths  between  490  and  576  m) 
(UCSB3).  Catsharks  occurred  in  31  (41%)  of  75  mid- 


^UCSB.  Collections  taken  by  the  University  of  California,  Santa 
Barbara,  with  an  opening  and  closing  net  between  1965  and  1967 
and  deposited  in  the  Los  Angeles  County  Museum  of  Natural 
History. 


699 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


water  trawls;  83%  of  the  individuals  were  collected 
within  250  m  of  the  bottom.  Fifty-four  A.  brunneus 
(99-380  mm  TL,  median  =  177)  were  collected  in 
22  trawls  and  23  P.  xaniurm  (1 10-229  mm  TL,  me- 
dian =  175)  were  collected  in  17  trawls. 

The  occurrence  of  juveniles  and  adolescents  of 
both  species  in  midwater  collections  suggests  that 
the  water  column,  especially  within  200-300  m  of 
the  bottom,  is  their  nursery  area,  and  would  explain 
their  conspicuous  absence  in  benthic  collections  dur- 
ing the  present  study.  Caillief  also  concluded  that 
P.  xaniums  are  mesopelagic  as  juveniles  and  demer- 
sal as  adults. 

Interestingly,  119  midwater  trawls  in  the  Santa 
Cruz  Basin,  CA  and  near  Rodriguez  Seamount  (most 
bottom  depths  between  1,200  and  2,200  m)  (UCSB 
fn  3)  captured  no  scyliorhinid  sharks  (the  trawls 
were  taken  concomitantly  with  trawls  in  the  near- 
by Santa  Barbara  Basin).  Bottom  depths  >1,000  m 
may  be  beyond  the  range  of  both  species.  The  deep- 
est recorded  collection  of  A.  brunneus  off  southern 
California  was  933  m  (Roedel  1951);  the  deepest 
recorded  collection  of  P.  xaniums  was  687  m 
(Springer  1979).  The  absence  of  both  species  in  mid- 
water  trawls  in  the  Santa  Cruz  Basin  and  near 
Rodriguez  Seamount  would  not  be  surprising  if 
juveniles  do  not  travel  far  horizontally  and  adults 
do  not  occur  below  1,000  m. 

Size 

The  largest  A.  brunneus  collected  during  the  pres- 
ent study  (625  mm  TL  male)  was  less  than  the  max- 
imum recorded  size  (680  mm  TL;  Compagno  1984). 
The  largest  P.  xaniurus  (574  mm  TL  female)  was 
greater  than  the  maximum  recorded  size  (550  mm 
TL;  Compagno  1984).  Weight-length  relationships 
of  males  and  females  of  both  species  were  similar. 
It  is  not  known  if  males  and  females  that  were  the 
same  size  were  the  same  age.  Attempts  at  deter- 
mining the  ages  of  P.  xaniurus  were  unsuccessful 
(Cailliet  1986^). 

Reproduction 

Like  many  scyliorhinid  sharks,  A.  brunneus  and 
P.  xaniurus  exhibit  single  oviparity:  one  fertilized 


Cailliet,  G.  M.  1981.  Ontogenetic  changes  in  the  depth  distri- 
bution and  feeding  habits  of  two  deep-dwelling  demersal  fishes  off 
California:  sablefish  and  filetail  cat  sharks.  [Abstr.]  Am.  See. 
Ichthyol.  Herpetol.  Sixty-first  Annu.  Meeting,  Corvallis,  OR. 

''G.  M.  Cailliet,  Moss  Landing  Marine  Laboratories,  Moss  Land- 
ing, CA,  pers.  commun.  July  1986. 


egg  enters  each  oviduct  and,  after  a  short  period, 
is  deposited  in  a  tough  egg  case  on  the  substrate 
where  it  is  anchored  by  tendrils  (Nakaya  1975).  Em- 
bryonic development  takes  place  largely  outside  the 
mother  and  may  require  a  year  to  produce  a  hatch- 
ling  (Compagno  1984). 

Size  at  sexual  maturity  estimated  during  the  pres- 
ent study  agrees  with  published  observations  for 
both  species  (Jones  and  Geen  1977;  Compagno 
1984).  Male  P.  xaniurus  matured  at  a  smaller  size 
than  male  A.  brunneus.  Females  of  both  species 
matured  at  about  the  same  size  and  fecundity  in- 
creased with  female  size.  Fecundity  was  greater 
among  A.  brunneus  as  was  the  proportion  of  mature 
females  carrying  egg  cases,  but  the  proportion  of 
body  weight  devoted  to  gonads  and  maximum 
oocyte  size  were  greater  among  P.  xaniurus. 

Seasonal  changes  in  gonadal  development  were 
not  well  defined  for  either  species;  individuals  in 
both  populations  may  be  sexually  active  at  any  time 
of  the  year.  Several  observations  suggest  that 
oocyte  production  was  seasonal:  the  highest  propor- 
tion of  adult  females  with  oocytes  <10  mm  in  diam- 
eter and  the  highest  frequency  of  atretic  oocytes 
were  observed  from  summer  through  fall  when  GSI 
was  lowest. 

There  are  few  published  observations  on  reproduc- 
tive cycles  of  scyliorhinid  sharks.  Scyliorhinus 
canicula,  an  abundant  shelf  and  upper  slope  cat- 
shark  in  the  northeastern  Atlantic  Ocean,  lays  eggs 
throughout  the  year.  Seasonal  maxima  in  egg  cap- 
sule production  are  apparent,  but  timing  varies  with 
latitude.  Size  at  sexual  maturity  also  varies  with 
latitude;  fish  mature  at  a  larger  size  at  higher 
latitudes  (Ford  1921;  Capape  1977).  The  fecundity 
of  female  S.  canicula  (46-50  cm  TL)  ranges  from 
23  to  34  eggs;  fecundity  increases  with  fish  size. 
Eggs  are  16  mm  in  diameter  at  ovulation.  Annual 
fecundity  is  about  96-115  eggs.  In  the  Mediterra- 
nean Sea,  egg  capsule  incubation  times  range  from 
180  days  for  eggs  deposited  during  the  summer  to 
285  days  for  eggs  deposited  during  the  winter 
(Capape  1977). 

Food  Habits 

Apristurus  brunneus  and  Parmaturus  xaniurus 
consumed,  in  order  of  importance,  crustaceans,  tele- 
osts,  and  squids.  Similar  diets  were  reported  for 
both  species  by  Jones  and  Geen  (1977),  Cailliet 
(1981,  see  fn.  4),  and  Compagno  (1984).  The  diets 
of  the  two  catsharks  were  broadly  similar  except  for 
the  occurrence  of  crustaceans.  Reptantian  decapods 


700 


CROSS:  BIOLOGY  OF  SCYLIORHINID  SHARKS 


dominated  the  diet  of  A.  brunnetis  (36%  of  total  IRI) 
while  natantian  decapods  dominated  the  diet  of  P. 
xaniurus  (40%  of  total  IRI).  This  may  be  a  result 
of  habitat  differences  between  the  catsharks  rather 
than  prey  selection.  The  epicaridean  isopods  in  the 
stomach  contents  are  crustacean  parasites,  and 
were  probably  ingested  with  their  hosts. 

A  very  high  percentage  of  A.  brunneus  and  P. 
xaniurus  stomachs  was  empty.  This  may  not  be 
representative  of  their  respective  populations. 
Sharks  caught  by  baited  hooks  have  a  higher  pro- 
portion of  empty  stomachs,  and  lower  stomach 
content  weight,  than  sharks  caught  by  gill  net 
(Medved  et  al.  1985). 

Most  of  the  prey  consumed  by  A.  brunneus  and 
P.  xaniurus  are  pelagic.  Demersal  adult  P.  xaniurus 
eat  mostly  crustaceans  (including  pelagic  pasiphaeid 
and  sergestid  shrimps),  fishes  (primarily  mycto- 
phids),  and  cephalopods.  Mesopelagic  juveniles  eat 
more  and  smaller  pelagic  pasiphaeid,  euphausiid, 
and  sergestid  shrimps  and  cephalopods,  and  fewer 
fishes  (Cailliet  fn.  4).  Similar  pelagic  prey  also 
dominate  the  diets  of  Galeus  melastomus  and 
Apristurus  spp.,  common  outer  shelf-upper  slope 
scyliorhinid  sharks  of  the  northeastern  Atlantic 
Ocean  (Orsi  and  Wurtz  1977;  Mattson  1981;  Mauch- 
line  and  Gordon  1983).  Ontogenetic  changes  in  diet 
were  reported  for  Scyliorhinus  canicula:  the  impor- 
tance of  crustaceans  declines  and  the  importance  of 
teleosts  increases  with  increasing  fish  size  (Capape 
1974). 

Deep-sea  benthic  fishes  can  obtain  pelagic  prey  by 
1)  feeding  on  prey  whose  vertical  distribution  ex- 
tends close  to  the  bottom  [P.  xaniurus  were  ob- 
served eating  moribund  myctophids  in  the  bottom 
of  the  Santa  Barbara  Basin  (Springer  1979)];  2) 
migrating  into  the  water  column  to  feed  [A.  brun- 
neus and  P.  xaniurus  are  captured  in  midwater 
(Jones  and  Geen  1967;  Lee  1969;  UCSB  fn.  3)]; 
3)  feeding  on  carcasses  that  sink  to  the  bottom  (mud 
and  terrestrial  plant  debris  were  found  in  several 
catshark  stomachs  during  the  present  study,  and 
both  species  took  dead  bait);  or  4)  feeding  in  the  net 
(not  a  factor  in  this  study)  (Pearcy  and  Ambler  1974; 
Pearcy  1976;  Sedberry  and  Musick  1978). 

ACKNOWLEDGMENTS 

This  study  was  supported  in  part  by  a  contract 
from  the  County  Sanitation  Districts  of  Orange 
County.  Special  thanks  are  extended  to  the  dory 
fishermen  of  Newport  Beach  for  taking  me  on  their 
boats.  H.  Stubbs,  M.  Moore,  T.  Pesitch,  and  the 


crews  of  the  RV  Westwind  and  RV  Vantuna  made 
the  trawl  collections  possible.  D.  Tsukada  and  J. 
Laughlin  diligently  identified  the  prey  organisms. 
G.  Cailliet,  P.  Klimley,  J.  Seigel,  and  S.  Springer 
provided  helpful  comments  on  earlier  versions  of  the 
manuscript. 

LITERATURE  CITED 

CAFAPfi,  C. 

1974.  Contribution  a  la  biologic  des  Scyliorhinidae  des  cotes 
tunisiennes.  ll-Scyliorhimis  canicula  Linne,  1758:  Regime 
alimentaire.    Ann.  Inst.  Michel  Pacha  7:13-29. 

1977.    Contribution  a  la  biologic  des  Scyliorhinidae  des  cotes 
tunisiennes.  l-Scyliorhinus  canicula  (Linne,  1758):  Repar- 
tition geographique  et  bathymetrique,  sexualite,  reproduc- 
tion, fecondite.    Buil.  Off.  natn.  Pech.  Tunisie  1:83-101. 
Clarke,  M.  R.  B. 

1980.  The  reduced  major  axis  of  a  bivariate  sample.  Bio- 
metrika  67:441-446. 

COMPAGNO,  L.  J.  V. 

1984.    In  FAO  species  catalogue.    Sharks  of  the  world.  An 
annotated  and  illustrated  catalogue  of  shark  species  known 
to  date.    Part  2.  Carcharhinilbrmes.    Vol.  4,  Pt.  2,  p.  251- 
655.    FAO  Fish.  Biol.  Synop.,  No.  125. 
Cox,  K.  W. 

1963.    Egg-cases  of  some  elasmobranchs  and  a  cyclostome 
from  California  waters.    Calif.  Fish  Game  49:271-289. 
Cross,  J.  N. 

1987.    Demersal  fishes  of  the  upper  continental  slope  off 
southern  California.    Calif.  Coop.  Oceanic  Fish.  Invest.  Rep. 
28:155-167. 
Day,  D.  S.,  and  W.  G.  Pearcy. 

1968.  Species  associations  of  benthic  fishes  on  the  continen- 
tal shelf  and  slope  off  Oregon.  J.  Fish.  Res.  Board  Can. 
25:2665-2675. 

DeLacy,  a.  C,  and  W.  M.  Chapman. 

1935.    Notes  on  some  elasmobranchs  of  Puget  Sound,  with 
descriptions  of  their  egg  cases.    Copeia  1935:63-67. 
Ford,  E. 

1921.    A  contribution  to  our  knowledge  of  the  life-histories 
of  the  dogfishes  landed  at  Plymouth.    J.  Mar.  Biol.  Assoc. 
U.K.  12:468-505. 
Haedrich,  R.  L.,  G.  T.  Rowe,  and  P.  T.  Pollonl 

1975.  Zonation  and  faunal  composition  of  epibenthic  popula- 
tions on  the  continental  slope  south  of  New  England.  J. 
Mar.  Res.  33:191-212. 

Jones,  B.  C,  and  G.  H.  Geen. 

1977.  Observations  on  the  brown  cat  shark.  ApiHsturus  brun- 
neus (Gilbert),  in  British  Columbia  coastal  waters.  Syesis 
10:169-170. 

Lee.  R.  S. 

1969.  The  filetail  catshark,  Parmaturus  xaniurus,  in  mid- 
water  in  the  Santa  Barbara  Basin  off  California.  Calif.  Fish 
Game  55:88-90. 

Mattson,  S. 

1981.  The  food  of  Galeus  melastomus,  Gadiculus  argenteus 
thori,  Trisopterus  esmarkii,  Rhinonemus  cimbrius,  and 
Glyptocephalus  cynoglossu^  (Pisces)  caught  during  the  day 
with  shrimp  trawl  in  a  west-Norwegian  fjord.  Sarsia  66: 
109-127. 

Mauchline,  J.,  and  J.  D.  M.  Gordon. 

1983.    Diets  of  the  sharks  and  chimaeroids  of  the  Rockwall 


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Trough,  northeastern  Atlantic  Ocean.    Mar.  Biol.  (Berl.) 

75:269-278. 
Medved,  R.  J.,  C.  E.  Stillwell,  and  J.  J.  Casey. 

1985.    Stomach  contents  of  young  sandbar  sharks,  Car- 

charhinus  plumbeus,  in  Chincoteague  Bay,  Virginia.    Fish. 

Bull,  U.S.  83:395-402. 
Miller,  D.  J.,  and  R.  N.  Lea. 

1972.    Guide  to  the  coastal  marine  fishes  of  California.    Calif. 

Dep.  Fish  Game.  Fish  Bull.  No.  157,  249  p. 
Nakaya,  K. 

1975.  Taxonomy,  comparative  anatomy  and  phylogeny  of 
Japanese  catsharks,  Scyliorhinidae.  Mem.  Fac.  Fish.  Hok- 
kaido Univ.  23:1-94. 

Nelson,  J.  S. 

1984.    Fishes  of  the  world.    2ded.    John  Wiley  &  Sons,  N.Y., 
523  p. 
Orsi,  L.  R.,  and  W.  Wurtz. 

1977.    Patterns  and  overlap  in  the  feeding  of  two  selachians 
of  bathyal  fishing  grounds  in  the  Ligurian  sea.    Rapp. 
Comm.  int.  Mer  Medit.  24:89-94. 
Pearcy,  W.  G. 

1976.  Pelagic  capture  of  abyssobenthic  macrourid  fish. 
Deep-Sea  Res.  23:1065-1066. 

Pearcy,  W.  G.,  and  J.  W.  Ambler. 

1974.    Food  habits  of  deep-sea  macrourid  fishes  off  the  Oregon 


coast.    Deep-Sea  Res.  21:745-759. 
PiNKAS,  L.,  M.  S.  Oliphant,  and  I.  L.  K.  Iverson. 

1971.    Food  habits  of  albacore,  bluefm  tuna,  and  bonito  in 
California  waters.    Calif.  Dep.  Fish  Game,  Fish  Bull.  No. 
152,  105  p. 
Pratt,  H.  L. 

1979.    Reproduction  in  the  blue  shark,  Prionace  glauca.    Fish. 
Bull.,  U.S.  77:445-470. 
Ricker,  W.  E. 

1973.    Linear  regressions  in  fishery  research.    J.  Fish.  Res. 
Board  Can.  30:409-434. 
Roedel,  p.  M. 

1951 .    The  brown  catshark,  Apristurvs  hrunneus,  in  Califor- 
nia.   Calif.  Fish  Game  37:61-63. 
SAS  Institute  Inc. 

1982.    SAS  User's  Guide:  Statistics.    1982  ed.    SAS  Institute 
Inc.,  Gary,  NC,  923  p. 
Sedberry,  G.  R.,  and  J.  A.  Musick. 

1 978.  Feeding  strategies  of  some  demersal  fishes  of  the  con- 
tinental slope  and  rise  off  the  mid- Atlantic  coast  of  the  USA. 
Mar.  Biol.  (Berl.)  44:357-375. 

Springer,  S. 

1979.  A  revision  of  the  catsharks,  Family  Scyliorhinidae. 
NOAA  Tech.  Rep.  NMFS  Circ.  No.  422,  152.  p. 


702 


FURTHER  SUPPORT  FOR  THE  HYPOTHESIS  THAT 

INTERNAL  WAVES  CAN  CAUSE  SHOREWARD  TRANSPORT  OF 

LARVAL  INVERTEBRATES  AND  FISH 

Alan  L.  Shanks^ 


ABSTRACT 

In  areas  of  mesotides  (tidal  range  2  to  4  m)  and  narrow  continental  shelves  (<30  km)  internal  waves 
can  transport  (i.e.,  convey  from  one  place  to  another)  the  larvae  of  coastal  organisms  shoreward.  Research 
reported  here  was  in  an  area  of  microtides  (tidal  range  <2  m)  and  a  wide  continental  shelf  (>80  km), 
the  South  Atlantic  Bight.  Half  of  the  sampled  sets  of  internal  waves  were  aligned  parallel  to  shore  and 
probably  originated  at  the  shelf  break.  The  higher  densities  of  larvae  and  flotsam  in  the  slicks  over  these 
internal  waves  (convergence  zones)  than  in  the  rippled  water  between  shcks  (divergence  zones)  indicates 
that  these  waves  were  transporting  larvae  and  flotsam  shoreward.  All  nontransporting  internal  waves 
were  aligned  at  a  sharp  angle  to  shore  and  may  have  formed  over  shoals  oriented  perpendicular  to  shore. 
To  further  test  the  hypothesis  that  internal  waves  can  transport  larvae,  surface  plankton  were  col- 
lected from  the  waters  over,  in  front,  and  behind  a  set  of  internal  waves.  The  density  of  Portunus  spp. 
megalopae  was  significantly  higher  in  waters  in  front  of  the  set  than  behind.  The  average  densities  of 
a  variety  of  larval  fish  and  invertebrates  were  significantly  higher  over  the  internal  waves  than  in  front 
of  the  set  of  waves.  These  data  indicate  that  internal  waves  can  cause  shoreward  transport  of  larvae 
and  flotsam.  Precompetent  larval  fish  were  not  carried  shoreward  by  this  set  of  waves  while  competent 
stages  (i.e.,  juvenile  through  postflexion)  were  transported  shoreward. 


Recent  papers  have  suggested  that  the  planktonic 
larvae  of  some  coastal  invertebrates  and  fish 
(Shanks  1983,  1985,  1986;  Jillett  and  Zeldis  1985; 
Kingsford  and  Cheat  1986;  Shanks  and  Wright 
1987)  as  well  as  flotsam  (e.g.,  an  oil  spill,  Shanks 
1987)  can  be  transported  (i.e.,  conveyed  from  one 
place  to  another)  by  internal  waves.  As  the  tide  ebbs 
off  the  continental  shelf  or  across  some  other  sharp 
change  in  the  bottom  relief  (i.e.,  a  reef  or  bank)  a 
lee  wave  is  formed  (Lee  and  Beardsley  1974; 
Gargett  1976;  Maxworthy  1979).  When  the  tide 
changes  to  flood  this  lee  wave  is  "released"  and 
propagates  away  from  its  point  of  origin  (see  for  ex- 
ample Chereskin  1983).  Most  of  the  waves  formed 
at  the  continental  shelf  break  propagate  shoreward. 
As  the  original  internal  wave  moves  onshore  it 
evolves  from  a  solitary  wave  into  a  set  of  waves 
(Osborne  and  Burch  1980).  Stripes  of  glassy  water, 
slicks,  are  surface  manifestations  of  currents  over 
the  internal  waves,  and  they  delineate  zones  of  con- 
verging and  downwelling  currents  situated  between 
the  crest  and  the  trough  of  an  internal  wave  (Ewing 
1950;  LaFond  1959).  The  currents  over  the  inter- 
nal waves  generate  slicks  by  both  perturbing  small 


^University  of  North  Carolina  at  Chapel  Hill,  Institute  of  Marine 
Sciences,  3407  Arendell  Street,  Morehead  City,  NC  28557. 


surface  waves  and  concentrating  the  organic  sur- 
face film  (Ewing  1950;  Gargett  1976).  Buoyant  flot- 
sam will  be  carried  into  the  convergence  zone  by  the 
surface  currents,  but  because  of  the  particle's  buoy- 
ancy they  will  not  follow  the  water  as  it  is  down- 
welled;  the  flotsam  will  be  trapped  at  the  surface 
in  the  convergence  and  as  the  convergence  zone 
moves  onshore  so  will  the  flotsam.  The  proposed 
mechanism  of  larval  transport  suggests  that  any 
organism  which  can  remain  at  the  surface  in  the  con- 
vergence zone  either  by  swimming  or  other 
behaviors  (Shanks  1985)  will,  like  flotsam,  remain 
in  the  slick  and  be  transported  onshore  (Shanks 
1983). 

The  conditions  necessary  for  the  production  of 
tidally  generated  internal  waves  (tides,  sharp  bot- 
tom relief,  and  some  water  column  density  stratifica- 
tion) are  present  in  the  waters  adjacent  to  nearly 
all  land  masses,  and  the  surface  manifestations  of 
internal  waves  have  been  observed  from  both  ships 
and  satellites  in  numerous  locations  (Apel  et  al. 
1975;  Fu  and  Holt  1982;  Sawyer  1983).  Evidence 
that  internal  waves  may  be  capable  of  transporting 
planktonic  larvae  onshore  has  been  collected  in  the 
Pacific  Ocean  off  Southern  California  (Shanks  1983, 
1985,  1986),  in  the  San  Juan  Archipelago  (Shanks 
and  Wright  1987),  and  in  the  waters  off  the  North 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


703 


FISHERY  BULLETIN:  VOL.  86.  NO.  4 


and  South  Islands  of  New  Zealand  (Zeldis  and  Jillett 
1982;  Jillett  and  Zeldis  1985;  Kingsford  and  Choat 
1986).  These  areas  are  characterized  by  mesotides, 
i.e.,  tidal  range  2  to  4  m  (Davis  1964).  The  first  pur- 
pose of  the  research  reported  in  this  paper  was  to 
test  if  transport  occurred  in  the  Atlantic  Ocean  and 
in  an  area  of  microtides  (tidal  range  <2  m,  Davis 
1964),  the  South  Atlantic  Bight. 

To  date  researchers  have  compared  the  density 
(no./m-)  of  larvae  in  the  convergence  zones  (slicks) 
over  internal  waves  to  the  density  present  in  the 
divergence  zone  (ripples).  Cases  where  the  densities 
of  larvae  were  significantly  higher  in  slicks  than  the 
ripples  were  used  as  evidence  for  the  proposed 
hypothesis.  Higher  density  in  the  convergence  im- 
plies that  larvae  tend  to  spend  more  time  in  the  slick 
than  in  the  water  between  slicks.  Because  of  the 
speed  at  which  internal  waves  are  propagating,  even 
a  brief  residence  in  an  internal-wave-slick  could 
cause  appreciable  shoreward  transport.  For  exam- 
ple, if  a  larvae  spent  an  hour  in  a  slick  it  could  be 
carried  about  2  km  (assuming  an  average  internal 
wave  speed  of  56  cm/s.  Sawyer  1983). 

Higher  larval  densities  in  the  convergence  zone 
is  only  one  of  several  predictions  which  should  be 
true  if  internal  waves  are  transporting  larvae  shore- 
ward. The  second  purpose  of  this  research  was  to 
test  several  additional  predictions.  As  an  internal 
wave  moves  shoreward,  larvae  from  in  front  of  the 
wave  will  be  swept  by  the  currents  associated  with 
the  wave  into  the  convergence  zone.  If  these  larvae 
can  remain  at  the  surface  in  the  convergence,  they 
will  be  carried  shoreward.  Predictions  include  1) 
larval  density  in  the  waters  in  front  of  the  set  of  in- 
ternal waves  should  be  significantly  higher  than  in 
the  waters  behind  the  set;  2)  because  larvae  will 
accumulate  in  the  convergence,  the  observed  den- 
sity of  larvae  over  an  internal  wave  will  be  signifi- 
cantly higher  than  the  density  in  the  waters  in  front 
of  the  set  of  internal  waves;  and  3)  a  rare  larval 
type  may  be  carried  into  an  area  from  a  distant 
source  in  which  case  these  particular  larvae  may 
only  be  present  in  the  waters  over  the  internal  wave 
and  will  be  concentrated  in  the  slicks.  To  test  these 
predictions,  replicate  neuston  net  samples  were  col- 
lected in  the  convergence  and  divergence  zones  over 
a  set  of  internal  waves,  and  in  the  waters  imme- 
diately in  front  and  behind  this  set  of  internal  waves. 

METHODS 

The  study  was  confined  to  the  ocean  waters  at  the 
northern  end  of  Onslow  Bay  within  about  20  km  of 


Beaufort  Inlet,  NC,  U.S.A.  (long.  34°40'W,  lat. 
76°40'N;  Fig.  1).  Surface  plankton  tows  from  the 
waters  over  internal  waves  were  collected  during 
the  summer  of  1985  on  4  and  24  June,  14  and  20 
July,  and  21  August.  On  24  June  1985  surface 
plankton  tows  were  also  collected  from  immediate- 
ly in  front  and  behind  a  set  of  internal  waves.  On 
14  June  1985  and  9  and  19  June  1986  samples  were 
collected  at  the  surface  and  in  the  water  column  to 
determine  which  taxa  were  exclusively  neustonic  in 
distribution. 

Winds  stronger  than  10  to  15  knots  obliterate  the 
slicks,  which  delineate  the  convergence  zones  over 
internal  waves.  Searches  for  internal-wave-slicks 
and  sampling  of  the  associated  plankton  were 
limited  to  periods  with  winds  less  than  a  moderate 
breeze  (Beaufort  scale  4).  The  procedure  for  locating 
internal- wave-slicks  was  to  proceed  along  shore  until 
the  estuarine  front  associated  with  Beaufort  Inlet 
was  crossed  and  thence  perpendicular  to  shore  un- 
til we  found  a  set  consisting  of  at  least  three  large 
(at  least  30  m  wide  by  about  500  m  long)  linear  slicks 
separated  by  one  to  several  hundred  meters  of 
rippled  water.  Sets  of  large  slicks  separated  by  rip- 
pled water  are  a  unique  surface  signature  of  large, 
usually  tidally  generated  internal  waves  (Ewing 
1950;  LaFond  1959;  Apel  et  al.  1975;  Gargett  1976; 
Fu  and  Holt  1982;  Chereskin  1983;  Sawyer  1983). 

To  test  if  a  set  of  internal  waves  was  capable  of 
transporting  flotsam,  surface  drifters  (weighted 
Styrofoam  cups)  were  released  in  a  line  perpen- 
dicular to  and  in  front  of  the  set  of  internal-wave- 
slicks  (Shanks  1983).  Prior  to  the  release  of  the  sur- 
face drifters  and  immediately  after  all  sampling  was 
completed  the  position  of  the  first  slick  in  the  set 
was  determined  by  either  compass  bearings  on  land- 
marks or  with  loran.  From  these  measurements  we 
were  able  to  determine  the  distance  that  the  set  of 
waves  propagated  during  the  period  of  observation. 

While  the  currents  acted  on  these  surface  drifters, 
3  or  4  replicate  5-  to  10-min  surface  (<20  cm  depth) 
plankton  tows  were  made  in  the  slicks  and  rippled 
water  between  slicks.  These  1985  samples  were  col- 
lected on  4  and  24  June,  14  and  20  July,  and  21 
August  1985.  In  addition,  on  24  June  1985  replicate 
surface  plankton  samples  were  also  collected  from 
the  water  immediately  in  front  and  behind  the  set 
of  internal  waves  (within  200  m  of  the  internal  wave 
set).  Plankton  samples  were  collected  using  a  manta 
net  (Brown  and  Cheng  1981)  with  a  mouth  opening 
of  0.95  X  0.26  m  and  a  net  mesh  of  0.333  mm.  A 
flow  meter  mounted  in  the  mouth  of  the  net  mea- 
sured the  volume  of  water  filtered.  Between  tows 


704 


SHANKS:  SHOREWARD  LARVAL  TRANSPORT 


35°- 


34° 


78 

L 


76° 


ATLANTIC         OCEAN 


Figure  L— Map  of  the  study  area.  The  dashed  hne  running  along  shore  is  the  20  m  contour  and  the  dashed 
line  running  from  just  to  the  left  of  Beaufort  Inlet  to  the  tip  of  Cape  Lookout  Shoals  encloses  the  study  area. 


in  the  different  habitats  the  manta  net  was  cleaned 
by  towing  for  5  to  10  minutes  with  the  cod  end  re- 
moved. Most  of  the  plankton  was  washed  from  the 
net  by  this  procedure.  For  convenience  and  in  order 
to  more  accurately  sample  the  relatively  small  en- 
vironments studied  these  plankton  tows  were  made 
from  a  6  m  motor  boat.  Plankton  samples  were 
preserved  in  5%  formalin. 

To  assess  the  vertical  distribution  of  larval  types, 
surface  and  oblique  plankton  tows  were  made  on  14 
June  1985  and  9  June  1986.  On  19  June  1986  rep- 
licate [n  =  3)  surface,  oblique,  and  bottom  tows  were 
made.  The  dimensions  of  the  oblique  and  bottom  sled 
nets  were  0.55  x  0.55  m  and  0.80  x  0.45  m  respec- 
tively. Both  nets  had  mesh  of  0.333  mm,  and  flow 
meters  on  the  nets  were  used  to  measure  the  volume 
of  water  filtered.  The  procedure  for  the  oblique  tows 
was  as  follows:  with  the  boat  moving  slowly  forward 
the  net  was  lowered  rapidly  to  near  the  bottom 


(about  10  to  20  m)  and  then,  maintaining  a  wire 
angle  of  about  60°,  the  net  was  hauled  slowly  to  the 
surface.  The  bottom  tows  were  made  by  lowering 
the  sled  straight  to  the  bottom  with  the  boat  station- 
ary; as  the  boat  moved  slowly  forward,  the  line  was 
paid  out  until  a  scope  of  1  to  3  was  achieved;  tows 
lasted  5  to  10  minutes;  at  the  end  of  the  tow  the  boat 
was  backed  down  onto  the  net;  and  the  net  was 
pulled  vertically  back  to  the  surface.  Both  the 
oblique  and  bottom  nets  were  open  when  they 
passed  through  the  surface  and  were  thus  contam- 
inated by  some  surface  plankton. 

Organisms  were  sorted  and  identified  with  the  aid 
of  a  dissecting  microscope.  A  variety  of  sources  were 
used  to  identify  larval  fish  (Fritzsche  1978;  Hardy 
1978;  Johnson  1978;  Martin  and  Drewry  1978; 
Fahay  1983).  Larval  fish  were  also  sorted  by  devel- 
opmental stage  which  were  defined  following  the 
terminology  and  descriptions  in  Ahlstrom  et  al. 


705 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


(1976)  and  Moser  and  Ahlstrom  (1970).  Megalopae 
were  identified  from  references  sited  in  Williams 
(1984).  Portunus  spp.  and  Callinectes  spp.  mega- 
lopae were  separated  using  the  characters  suggested 
by  Smyth  (1980).  Penaeids  were  identified  using 
Cook  (1966).  No  attempt  was  made  to  precisely  iden- 
tify the  other  groups  of  organisms  counted. 

Statistical  comparisons  of  the  density  of  larvae 
and  flotsam  in  the  different  sampled  habitats  were 
made  using  Wilcoxon's  two-sample  test  (Sokal  and 
Rohlf  1969).  Densities  were  considered  to  be  sig- 
nificantly different  when  P  <  0.05. 

RESULTS 

During  the  summer  of  1985  searches  for  internal- 
wave-slicks  were  made  on  eight  occasions.  On  three 
days,  despite  favorable  wind  and  sea  conditions,  no 
internal-wave-slicks  were  observed.  On  4  and  24 
June,  the  observed  sets  of  slicks  were  oriented 
parallel  to  shore  and  the  bottom  topography  while 
on  14  and  20  July  sets  were  oriented  nearly  perpen- 
dicular to  shore.  On  21  August  a  set  of  slicks  aligned 
nearly  perpendicular  to  shore  was  observed  about 
5  km  offshore,  and  at  about  9  km  offshore  a  second 
set  of  slicks  was  found  oriented  parallel  to  the  bot- 
tom topography.  Both  types  of  slicks,  perpendicular 
and  parallel  orientation,  possessed  all  of  the  usual 
characteristics  of  internal  waves.  Slicks  were  about 
30  to  50  m  wide,  they  were  separated  by  one  to 
several  hundred  meters  of  rippled  water,  and  the 
sets  moved  (the  parallel-to-shore  slicks  moved  on- 
shore while  the  perpendicular-to-shore  slicks  moved 
north). 

The  surface  drifters  released  in  front  of  sets  of 
slicks  oriented  parallel  to  shore  on  4  June  and  21 
August  could  not  be  located  following  the  plankton 
tows.  On  24  June,  all  of  the  drifters  located  at  the 
end  of  the  plankton  tows  (48  of  50  released)  were 
found  in  the  first  two  slicks  of  the  set  of  internal 
waves.  The  drifters,  which  had  been  released  in  a 
250  m  long  line  in  front  of  the  set  of  internal  waves, 
had  been  caught,  concentrated,  and  carried  about 
4  km  shoreward  by  the  internal  waves.  Clearly  this 
set  of  internal  waves  was  capable  of  carrying  buoy- 
ant flotsam  shoreward. 

Sargassum  floats  were  abundant  in  the  plankton 
tows.  The  floats  are  buoyant,  do  not  extend  above 
the  water  (i.e.,  are  not  blown  directly  by  the  wind), 
and,  hence,  the  floats  should  act  much  like  the  re- 
leased surface  drifters.  On  all  three  dates  when  the 
internal- wave-slicks  were  oriented  parallel  to  shore, 
the  density  of  Sargassum  floats  was  significantly 


higher  (14-  to  300-fold  higher;  Tables  1,  2)  in  the  con- 
vergence than  divergence  zones.  These  data  indicate 
that  not  only  was  the  set  of  internal  waves  sampled 
on  24  June  capable  of  carrying  flotsam  shoreward, 
but  the  sets  oriented  parallel  to  shore  on  4  June  and 
21  August  were  also  capable  of  carrying  buoyant 
flotsam  shoreward. 

In  contrast,  on  those  days  when  the  slicks  were 
oriented  roughly  perpendicular  to  shore  (14  July,  20 
July,  and  21  August,  Table  1)  released  surface 
drifters  were  about  equally  distributed  between  slick 
and  rippled  water  and,  despite  the  fact  that  the 
sHcks  moved  northward  during  the  observation 
period,  the  drifters  were  not  carried  along  with  the 
waves.  The  density  of  Sargassum  floats  was  not 
significantly  higher  in  the  slicks  than  the  rippled 
water  between  the  slicks.  These  data  suggest  that 
these  internal  waves  were  not  transporting  flotsam. 

Before  larval  densities  can  be  interpreted,  it  is 
first  necessary  to  determine  which  larval  types  are 
found  exclusively  in  the  neuston.  An  increase  in  the 
neustonic  density  of  organisms,  which  inhabit  both 
the  neuston  and  the  water  column,  could  be  due  to 
forces  concentrating  just  the  neustonic  portion  of 
the  population,  or  it  could  be  due  to  animals  from 
the  water  column  augmenting  the  population  in  the 
neuston.  Given  the  sampling  regime  of  this  study 
it  was  impossible  to  differentiate  between  these  two 
possibilities.  Because  of  this  limitation  a  series  of 
tows  were  made  in  the  neuston,  the  water  column, 
and  bottom  water  to  determine  which  organisms  ex- 
clusively inhabited  the  neuston. 

There  was  a  distinct  assemblage  of  megalopae  and 
larval  fish  that  were  caught  in  the  oblique  water 
column  and  bottom  plankton  tows  but  were  nearly 
absent  from  the  neuston  tows  (Table  3).  Unfor- 
tunately, organisms  that  were  common  in  the 
neuston  tows  made  over  or  around  internal  waves 
were  abundant  on  only  one  of  the  three  dates  when 
the  vertical  distribution  samples  were  collected.  On 
this  one  date  (19  June  1986,  Table  3)  there  was  a 
group  of  larval  fish  and  crabs  that  were  only  pres- 
ent in  the  neuston  tows.  This  latter  group  included 
the  megalopae  of  Portunus  spp.  and  Callinectes  spp., 
juvenile  Monacanthus  hispidus,  and  juvenile  and  lar- 
val Hyporhamphus  unifasciatus  and  Sphoeroides 
maculatus.  Previous  research  also  suggests  that 
these  larvae  and  postlarvae  as  well  as  others  are  in- 
habitants of  the  surface  waters.  Both  the  behavior 
(Sulkin  andVan  Heukelem  1981)  and  the  vertical 
distribution  (Smyth  1980;  Johnson  1985a)  of  Calli- 
nectes spp.  megalopae  suggest  that  they  are  usually 
neustonic.  The  megalopae  of  Portunus  spp.  and 


706 


SHANKS:  SHOREWARD  LARVAL  TRANSPORT 


Table  1 — The  density  of  larval  fish  and  invertebrates  (mean  no. /1 00  m  +  SE)  in  the  slicks  (convergence  zones)  and  ripples  (divergence 
zones)  over  internal  waves  and  the  relative  concentration  of  these  organisms  in  the  slicks  (i.e.,  the  ratio  of  slicks/ripples)  over  internal 
waves  oriented  parallel  (data  in  upper  section  of  table)  and  perpendicular  (data  in  lower  section  of  table)  to  shore. 


Dates  when  slicks  were 

oriented  parallel  to  shore 

1 

4  June  1985 

21 

August  198£ 

) 

Slicks 

Ripples 

Slicks/ 

Slicks 

Ripples 

Slicks/ 

n  =  3 

n  =  3 

ripples^ 

n  =  3 

n  =  3 

ripples^ 

Total  fish 

12  +  2.9 

4.2  +  0.9 

3* 

1.7±0.9 

0.8  ±0.3 

2 

Hypsoblennius  hentzi 

6.0±2.1 

3.1  +0.2 

2 

0.1±0.1 

0.4  +  0.1 

0.3 

Mem  bras  martinica 

1.7+1.1 

0.3  +  0.1 

5 

0 

0 

— 

Hyporhamphus  unlfasciatus 

0.7  +  0.7 

0.6  +  0.4 

1 

0 

0 

— 

Brevootia  tyrannus 

1.6-0.8 

0 

— 

0 

0 

— 

Monacanthus  hispidus 

0.9  +  0.6 

0 

— 

0.8  +  0.6 

0 

— 

Chellopogen  heterurus 

0 

0 

— 

0.2±0.1 

0 

— 

Miscellaneous 

1.1±0.3 

0.3  ±0.2 

4 

0.4  +  0.4 

0.2  +  0.1 

2 

Total  Brachyura 

41  +  12 

1.7  +  0.6 

24* 

12±3.9 

0.5  ±0.4 

22* 

Callinectes  spp. 

IVIegalopa 

0.2  +  0.2 

0 

— 

3.9+1.7 

0.2  +  0.1 

19* 

First  crab 

1.5  ±0.6 

0 

* 

0.2±0.2 

0 

— 

Portunus  spp. 

Megalopa 

36+11 

1.6±0.8 

23* 

7.5±21 

0.3  +  0.3 

24* 

First  crab 

1.2  ±0.6 

0 

— 

0 

0 

— 

Miscellaneous 

2.0+1.1 

0.1+0.1 

15* 

0.3  +  0.2 

0 

— 

Amphipods 

40+16 

1.2  +  0.1 

33* 

2.2+1.5 

0 

— 

Polychaete  larvae 

5.2+1.7 

0.7  +  0.5 

8* 

0 

0 

— 

Stomatopod  larvae 

0 

0 

— 

32  +  8.8 

8.1  ±2.6 

4* 

Cnidaria 

0 

0 

— 

9.9  +  2.9 

18±6.2 

1 

Salpa 

0 

0 

— 

15±2.6 

60  +  2.9 

0.3* 

Sargassum  floats 

11  ±6.8 

0.8  ±0.6 

14* 

8.8  ±1.4 

0.4  ±0.3 

21* 

Dates  when  slicks  were  oriented  perpendicular  to  shore 

14  July  1985 

20  July  1985 

21 

August  1985 

Slicks 

Ripples 

Slicks 

Slicks/ 

Ripples 

Slicks/ 

Slicks 

Ripples 

Slicks/ 

n  =  3 

n  =  3 

ripples^ 

n  =  4 

n  =  4 

ripples^ 

n  =  4 

n  =  A 

ripples^ 

Total  fish 

2.6  +  0.4 

0.9  +  0.5 

3* 

1.2  ±0.3 

1.0  ±0.2 

1 

1.1  ±0.1 

1.8±1.0 

1 

Hypsoblennius  hentzi 

0 

0 

— 

0.6  ±0.2 

0.8±0.1 

1 

0.3  ±0.2 

1.5  ±0.9 

0.2 

Hyporhamphus  unlfasciatus 

0.5  +  0.3 

0 

— 

0.4  +  0.2 

0 

— 

0 

0 

— 

Monacanthus  hispidus 

0 

0.2  ±0.2 

0 

0 

0 

— 

0.3±0.2 

0.2  ±0.2 

2 

Chellopogen  heterurus 

1.0  ±0.4 

0 

— 

0 

0 

— 

0.2  +  0.2 

0 

— 

Miscellaneous 

1.2  +  0.4 

0.4  +  0.4 

2 

0.1  +0.1 

0.2  +  0.8 

1 

0.4  +  0.3 

0.2  ±0.2 

3 

Total  Brachyura 

3.6±1.3 

5.2±0.9 

1 

0.9±0.3 

0.3±0.3 

3 

1.6±0.5 

0.6  ±0.4 

3 

Callinectes  spp. 

Megalopa 

0.4±0.3 

0.6  ±0.6 

1 

0.4±0.2 

0 

— 

0.2±0.2 

0 

— 

Portunus  spp. 

Megalopa 

0.9±0.6 

2.2  +  0.6 

0.4 

0.2  +  0.2 

0.2  +  0.2 

3 

0.1  +0.1 

0.3  +  0.3 

0.5 

Miscellaneous 

1.8±0.7 

2.2±0.1 

1 

0.1±0.1 

0.2  ±0.2 

1 

1.4  ±0.5 

0.3  ±0.2 

5 

Amphipods 

5.7±3.9 

2.9±0.6 

2 

4.4  +  0.7 

1.7  +  0.8 

3 

0 

0 

— 

Polychaete  larvae 

18  +  7.3 

8.1+5.2 

2 

0 

0 

— 

2.6+1.3 

0.3  +  0.2 

8 

Stomatopod  larvae 

0 

0 

— 

0 

0 

— 

9.9-1.5 

9.1  ±2.6 

1 

Cnidaria 

83+15 

126  +  73 

1 

0 

0 

— 

7.8+1.2 

4.9+1.7 

2 

Salpa 

91  ±36 

103±78 

1 

0 

0 

— 

239  ±35 

130±38 

2 

Sargassum  floats 

22  ±16 

3.6±1.7 

6 

0.4±0.1 

0.1  ±0.1 

5 

5.2  ±2.4 

1.1±0.3 

5 

'Also  included  in  this  category  are  the  data  from  24  June  (Tables  2  and  4). 

^he  ratio  of  the  abundance  in  the  slick  divided  by  the  abundance  in  the  rippled  water. 


P  <  0.5  Wilcoxon's  two-sample  test  (Sokal  and  Rohlf  1969). 


Ocypoda  spp.  are  abundant  in  neuston  net  tows 
(Smyth  1980;  Johnson  1985a).  Juvenile  filefish, 
Monacanthus  hispidus,  are  abundant  in  neuston 
tows  (Fahay  1975;  Eldridge  et  al.  1977)  and  are  com- 
monly found  associated  with  floating  seaweeds 
(Dooley  1972).  Larval  Hyporhamphus  unifasciatus 
and  Hypsoblennius  hentz  are  abundant  in  surface 


plankton  tows  (Fahay  1975;  Eldridge  et  al.  1977; 
Fritzsche  1978).  Both  their  behavior  (Breder  and 
Clark  1947)  and  abundance  in  neuston  tows  (Eld- 
ridge et  al.  1977)  suggest  that  larval  Sphoeroides 
maculatus  are  also  residents  of  the  surface  waters. 
These  results  suggest  that  there  is  an  assemblage 
of  larvae  unique  to  the  neuston  and  that  tests  of  the 


707 


internal-wave-mediated  larval  transport  hypothesis 
outlined  in  the  introduction  can  be  made. 

The  distribution  of  organisms  followed  a  pattern 
similar  to  that  of  Sargassum  floats  (Tables  1,  2,  4). 
In  the  tows  from  internal  waves  oriented  perpen- 


FISHKRY  HI.'LLETIN:  VOL.  8t;,  NO.  4 

dicular  to  shore  there  was  only  one  instance  in  which 
the  density  of  an  organism  was  significantly  higher 
in  the  convergence  than  the  divergence  zone  (total 
larval  fish,  14  July  1985,  Table  1)  indicating  that 
these  internal  waves  were  not  transporting  larvae. 


Table  2. — The  density  (mean  no. /1 00  m  +  SE)  of  invertebrates  and  Sargassum  floats  in  front  of  tfie  set  of  inter- 
nal waves,  tfie  weighited  average  over  thie  internal  waves,  in  tfie  internal  wave  slick  (convergence  zone),  tfie  rippled 
water  between  slicks  (divergence  zone),  and  befiind  tfie  internal  waves.  Significance  compares  tfie  density  between 
tfiese  samples  using  a  Wilcoxon's  two-sample  test. 


Density 

Significance^ 

Mean  no 

./1 00  m^  +  SE 

;,  f7  =  3 

In  front 

Slicks 

In  front 

vs. 

Internal 

vs. 

vs. 

internal 

Species 

In  front 

wave^ 

Slicks 

Ripples 

Befiind 

befiind 

ripples 

wave 

Total  Bracfiyura 

1.1+0.2 

6.5+1.3 

21+5.7 

2.5  +  0.2 

0.2  +  0.2 

* 

• 

• 

Portunus  spp. 

Megalopa 

0.3  +  0 

3.8  +  0.9 

14  +  4.2 

0.8  +  0.2 

0 

* 

* 

* 

First  crab 

0 

1.2  +  0.7 

4.7+2.5 

0.1  +0.1 

0 

* 

* 

Callinectes  spp. 

Megalopa 

0.2  +  0.2 

0.2  +  0.1 

0.9  +  0.2 

0 

0.1  +0.1 

* 

Miscellaneous 

Megalopa 

0.6  +  0.3 

1.7  +  0.3 

1.8  +  0.7 

1.7  +  0.2 

0.1  +0.1 

Amphiipods 

30  +  8.1 

176+112 

754  +  546 

0.3  +  0.3 

20  +  6.5 

* 

Polycfiaete  larvae 

2.9+1.1 

16  +  3.0 

62  +  8.6 

2.5+1.3 

1.8  +  0.6 

* 

* 

Penaeus  spp. 

Postlarvae 

1.8+1.3 

34  +  6.5 

94  +  6.5 

16  +  4.4 

0.4  +  0.4 

* 

* 

Sargassum  floats 

0.9±0.1 

42  ±29 

182±122 

0.6±0.3 

0 

* 

* 

* 

'Wilcoxon's  two-sample  test  (Sokal  and  Rohlf  1969).     •  =  P  <  0.05. 

^Weighted  average  density  over  an  internal  wave  assuming  a  30  m  wide  slick  and  a  100  m  wide  ripples.     Internal  wave 
no./m^  X  30  m^)  +  (ripples  no./m^  x   100  m2)/130  m^)  x   100. 


[(slick 


Table  3. — Comparison  of  tfie  density  of  various  types  of  megalopae  and  larval  fisfi  caugfit  in  neuston,  oblique,  and 

bottom  plankton  tows. 


Density,  no. 

/1 00  m^ 

19  June  1986 

14  June  1985 

9  June 

1986 

Mean  +  se,  n  = 

=  3 

Species 

Neuston 

Oblique 

Neuston 

Oblique 

Neuston 

Oblique 

Bottom 

Crab  megalopa 

Portunus  spp. 

0 

0 

0 

0 

5.3  +  4.5 

0 

0 

Callinectes  spp. 

0 

0 

0 

0 

3.1+2.4 

0 

0 

Ocypoda  quadrats 

0 

9.0 

0 

0 

1.5  +  1.4 

0 

0 

Pinnotfieridae 

0.4 

9.0 

0 

9.0 

0.1  +0.1 

310+160 

18.7  +  9.2 

Xantfiidae 

0 

88.8 

0 

9.0 

0 

690  +  250 

17.0  +  9.6 

Cancer  spp. 

0 

0 

0 

0 

0 

66.7  +  40.6 

1.4  +  0.8 

Unknown  and  misc. 

2.0 

239 

0.2 

90.0 

1.3  ±0.8 

194  ±89.2 

11.4  +  3.6 

Fisfi  larvae 

Monacanthus  hispidus^ 

0 

0 

1.1 

0 

0.1  +0.1 

0 

0 

Hyporhamphus  unifasciatus^ 

0 

0 

0 

0 

0.3  +  0.2 

0 

0 

Sphoeroides  maculatus 

0 

0 

0 

0 

0.3  +  0.1 

0 

0 

Membras  martlnica 

0.4 

0 

0 

0 

0 

0 

0 

Hypsoblennius  hentzi 

0 

0 

0 

0 

0.3  +  0.3 

6.0  +  6.0 

0 

Symphurus  plagiusa 

0 

44.4 

0 

27.0 

0 

190  +  60 

0.1+0.1 

Prionotus  evolans 

0 

18.0 

0 

136 

0 

510  +  210 

15.1+6.0 

Seriola  spp. 

0 

0 

0 

27.0 

0 

46.0+17.8 

0.3  +  0.3 

Engraulidae 

0 

18.0 

0 

217 

0 

280  +  99 

16.2  +  8.9 

Unknown  and  misc. 

0 

9.0 

2.2 

63.0 

0 

150±110 

3.9  +  3.0 

'Juvenile  or  late  postflexion  stages  only. 


708 


SHANKS:  SHOREWARD  LARVAL  TRANSPORT 

Table  4— The  density  (mean  no. /1 00  m^  +  SE)  of  larval  fish  in  front  of  the  set  of  internal  waves,  the  weighted 
average  over  the  internal  waves,  in  the  internal  wave  slick  (convergence  zone),  the  rippled  water  between  slicks 
(divergence  zone),  and  behind  the  internal  waves.  Significance  compares  the  density  between  these  samples  using 
a  Wilcoxon's  two-sample  test.  J  =  Juvenile,  LPF  =  Late  Post  Flexion,  ERF  =  Early  Post  Flexion,  F  =  Flexion, 
PF  =  Preflexion,  and  Total  =  Sum  of  all  stages. 


Mean  no./ 

Density 
MOO  m^  ± 

SE,  n  =  3 

Significance' 

In  front 

In  front      Slicks          vs. 

Internal 

vs.            vs.         internal 

Species 

In  front 

wave 

Slicks 

Ripples 

Behind 

behind      ripples       wave 

Monacanthus  hispidus 

1.1  +0.1 

2.0  +  0.4 

8.1+9.0 

0.2  ±0.2 

0.1  +0.1 

*                               * 

Hyporhamphus  unifasciatus 

J 

0 

0.1  +0.1 

0.2±0.9 

0 

0 

LPF 

0.1+0.1 

0.9±0.5 

4.2±2.3 

0 

0 

* 

ERF 

0 

0.5±0.2 

1.8±0.6 

0 

0 

*                               * 

F 

0 

0.1  ±0.1 

0.2  +  0.2 

0 

0 

* 

PF 

0 

— 

0 

0 

0 

Total 

0.1  ±0.1 

1.5±0.6 

6.5  ±2.6 

0 

0 

*                               * 

Membras  martinica 

J 

0 

0.1±0.1 

0.4  +  0.4 

0 

0 

LPF 

0 

— 

0 

0 

0 

ERF 

0 

— 

0 

0 

0 

F 

0 

0.1  +0.1 

0.5  ±0.3 

0 

0 

RF 

0.2±0.1 

0.2±0.1 

14±4.2 

0.4  ±0.4 

1.0  +  0.6 

*                               * 

Total 

0.2±0.1 

0.2±0.1 

15±44 

0.4  ±0.4 

1.0±0.6 

*                               • 

Hypsoblennius  hentzi 

J 

0 

0.2  +  0.2 

0.8±0.8 

0 

0 

LPF 

0 

0.2±0.1 

0.5±0.3 

0 

0 

* 

ERF 

0 

0.2  +  0.0 

0.7±0.1 

0 

0 

*                               * 

F 

0.3  +  0.9 

0.2  +  0.1 

0.9  +  0.4 

0 

0 

* 

PF 

14  +  2.4 

4.5  ±1.8 

16±6.0 

0.9±0.5 

2.6±0.2 

*                               * 

Total 

14  +  2.0 

5.2±1.6 

19±5.5 

0.9±0.5 

2.6  +  0.2 

*                               * 

Brevootia  tyrannus 

F 

0.2  +  0.1 

0.1  +0.1 

0.5  +  0.3 

0 

0.2  ±0.2 

PF 

0.7  +  0.2 

0.2±0.1 

0.6  ±0.3 

0 

0.1  ±0.1 

Total 

0.9  ±0.3 

0.2±0.0 

1.1  ±0.1 

0 

0.4  ±0.4 

Miscellaneous 

J 

0 

0.5  +  0.2 

1.8±0.9 

0 

0 

*                               * 

LPF 

0 

0.2±0.1 

0.8±0.9 

0 

0.1  ±0.1 

*                               * 

EPF 

0 

— 

0 

0 

0 

F 

0.1  ±0.1 

0.1  +0.1 

0.4  +  0.4 

0 

0 

RF 

0 

0.1  ±0.1 

0.4±0.4 

0 

0 

Total 

0.1  ±0.1 

0.8  ±0.2 

3.4  ±1.0 

0 

0.1  ±0.1 

*                               * 

Grand  total 

16±1.6 

13±1.0 

53  ±3.6 

1.6  ±0.2 

4.2  ±0.4 

*                              * 

'Wilcoxon's  two-sample  test  (Sokal  and  Rohlf  1969).     *   =  P  <  0.05. 

^Weighted  average  density  over  an  internal  wave  assuming  a  30  m  wide  slick  and  a  100  m  wide  ripples.     Internal  wave  =  [(slick 
no./m2  X  30  m^)  +  (ripples  no./m^  x   100  m2)/130  m^]  x   100. 


In  contrast,  in  tows  from  internal  waves  oriented 
parallel  to  shore  there  were  numerous  instances  in 
which  larval  densities  were  significantly  higher  in 
the  slicks  (Tables  1,  2,  4);  the  densities  observed  in 
the  slicks  were  4-  to  >50-fold  higher  than  those  in 
the  rippled  waters.  These  data  demonstrate  that  a 
variety  of  larval  and  postlarval  invertebrates  and 
fish  were  transported  shoreward  by  these  internal 
waves. 

On  24  June  1985,  surface  plankton  samples  were 
collected  in  the  first  two  slicks  over  a  set  of  inter- 


nal waves  oriented  parallel  to  the  shore,  in  the  rip- 
pled water  between  these  slicks,  and  in  front  and 
behind  the  entire  set  of  internal  waves.  Ninety-six 
percent  of  the  surface  drifters  were  caught  by  the 
first  two  convergence  zones  and  carried  shoreward 
about  4  km.  The  density  of  Sargassum  floats  was 
highest  in  the  slicks  (>100-fold,  Table  2)  and  they 
were  at  significantly  lower  densities  behind  the  set 
of  internal  waves  than  in  front.  There  were  0.9 
Sargassum  floats/100  m^  in  the  waters  in  front  of 
the  set  of  internal  waves  and  none  in  the  waters 


709 


FISHERY  BULLETIN:  VOL.  8(;,  NO.  4 


behind  the  waves  (Table  2).  The  distribution  of  tar 
balls  (spilled  asphalt)  over  and  around  the  internal 
waves  was  similar  to  the  distribution  of  Sargassum 
floats  (Shanks  1987).  As  these  internal  waves  prop- 
agated shoreward,  the  currents  over  the  waves 
swept  buoyant  flotsam  from  the  waters  in  front  of 
the  set  of  waves  into  the  convergence  zone  where 
the  flotsam  was  caught  and  carried  shoreward. 

Calculation  of  the  density  of  larvae  or  flotsam  over 
the  internal  waves  (i.e.,  density  in  the  slicks  plus  the 
ripples)  requires  knowledge  of  the  width  of  the  slick 
and  rippled  waters  over  the  internal  waves.  Unfor- 
tunately, in  this  initial  study  these  measurements 
were  not  made,  necessitating  that  these  widths  be 
approximated  using  values  from  the  literature. 
Slicks  were  assumed  to  be  30  m  wide  and  the  rip- 
pled waters  separating  the  slicks  were  assumed  to 
be  100  m  wide.  These  values  are  consistent  with  my 
experience  and  with  published  values  (LaFond  1959; 
Sawyer  1983).  The  observed  density  over  one  inter- 
nal wave  was  calculated  as  (slick  no./m^  x  30  m)  -i- 
(ripples  no./m^  x  100  m)/130  m-.  The  density  over 
an  internal  wave  was  compared  with  the  density  in 
an  equal  area  of  water  in  front  of  the  set  of  inter- 
nal waves.  Making  these  calculations  for  Sargassum 
floats  gives  an  observed  density  of  42  floats/ 100  m^ 
over  the  internal  wave  vs.  0.9  floats/100  m^  in  front 
of  the  set;  the  density  over  the  internal  wave  is 
significantly  larger  (46-fold  greater)  than  the  den- 
sity in  front  of  the  set  (Table  2).  Again  the  data 
indicate  that  Sargassum  floats  were  carried  shore- 
ward by  the  internal  waves. 

None  of  the  types  of  larval  fish  characteristic  of 
water  column  samples  (Table  3)  were  caught  in  any 
neuston  tow.  Present  in  the  neuston  tows  were  only 
those  types  of  larval  and  juvenile  fish  which  my 
samples  and  the  descriptions  in  the  literature  sug- 
gest are  characteristically  neustonic. 

The  densities  of  larval  and  juvenile  fish  frequent- 
ly were  significantly  higher  in  the  slick  samples  than 
the  samples  from  the  rippled  waters  between  slicks 
(Table  4).  On  24  June  1985,  most  larval  fish,  espe- 
cially juvenile  and  postflexion  stage  larvae,  were 
rare  in  both  the  waters  in  front  and  behind  the  set 
of  internal  waves.  On  this  date  in  6  tows,  3  in  front 
and  3  behind  the  set  of  internal  waves,  only  4  juven- 
ile and  postflexion  larvae  were  caught  as  compared 
to  185  in  the  3  tows  made  in  the  slicks.  Probably 
because  of  the  rarity  of  larval  fish  in  both  in  front 
and  behind  tows  there  were  only  three  cases,  total 
and  preflexion  Hypsoblennius  hentz  and  total  lar- 
val fish,  in  which  the  density  of  fish  in  front  of  the 
set  of  internal  waves  was  significantly  higher  than 


behind  the  set  (Table  4).  There  are  seven  instances, 
however,  in  which  the  density  over  the  internal  wave 
of  a  larval  or  juvenile  fish  was  significantly  and  at 
least  10-fold  higher  than  the  density  in  front  of  the 
set  of  internal  waves  (Table  4).  In  six  of  these  in- 
stances the  fishes  were  at  the  juvenile,  late  post- 
flexion, or  early  postflexion  stages  of  development. 
Larval  and  juvenile  fish  were  grouped  by  stage 
of  development  and  the  densities  over  and  in  front 
of  the  internal  waves  were  calculated  for  each 
developmental  stage  (Fig.  2).  The  densities  over  the 
internal  waves  of  the  juvenile,  late  postflexion,  and 
early  postflexion  developmental  stages  were  signif- 
icantly higher  than  the  densities  of  these  stages  in 
front  of  the  set.  There  was  not  a  significant  differ- 
ence between  the  densities  over  and  in  front  of  the 
set  of  internal  waves  of  flexion  stage  larvae  and 
preflexion  larvae  were  significantly  more  abundant 
in  front  of  the  set.  These  data  suggest  that  internal 


1 1 1 — I     I  I   I  I  I 1 1 1 — I    I    M  I  I 

0.1  1.0  10.0 

Density,  No./IOOm^ 


Figure  2.— Densities  of  larval  fish  by  stage  of  development  caught 
on  24  June  1985  in  the  waters  in  front  of  the  set  of  internal  waves 
(open  circles)  and  over  the  internal  waves  (closed  circles).  Data  are 
presented  as  the  mean  +  95%  confidence  interval  with  the  points 
above  or  below  this  line  being  the  actual  observations.  Asterisks 
indicate  cases  where  the  in  front  density  was  significantly  different 
(Wilcoxon's  two-sample  test,  P  <  0.05)  from  the  density  over  the 
internal  waves.  The  method  of  calculating  the  densities  is  described 
in  the  text. 


710 


SHANKS:  SHOREWARD  LARVAL  TRANSPORT 


waves  are  capable  of  carrying  fish  larvae  shoreward, 
but  shoreward  transport  seems  to  be  confined  to 
postflexion  stage  larval  or  juvenile  fish. 

In  the  samples  from  24  June  1985  there  are  a 
number  of  cases  in  which  a  fish  species  and/or  stage 
of  development  was  common  in  the  tows  from  the 
convergence  zones  but  was  absent  or  very  rare  in 
the  divergence  zones,  in  front,  or  behind  the  set  of 
waves  (i.e.,  zero  or  one  caught  in  the  nine  tows  from 
these  three  habitats.  Table  4).  Either  these  larval 
fish  are  extremely  rare  in  the  waters  surrounding 
the  internal  waves  in  which  case  the  convergence 
zone  must  have  accumulated  larvae  from  a  large 
volume  of  water  or  the  internal  waves  transported 
the  larvae  into  the  study  area  from  a  distant  source. 

On  24  June  1985,  the  density  of  total  Brachyura 
was  significantly  higher  in  the  slicks  over  the  inter- 
nal waves  than  in  any  other  area  sampled  (Table  2). 
Portunus  spp.,  a  group  which  previous  data  had 
demonstrated  inhabited  the  neuston,  made  up  the 
bulk  of  the  Brachyura  caught.  The  densities  of  Por- 
tuniis  were  significantly  higher  in  the  slicks  than  the 
rippled  water  between  slicks.  The  density  of  Por- 
tunus spp.  megalopae  differed  significantly  from 
0.3/100  m^  in  front  of  the  set  of  internal  waves  to 
0/100  m-  behind  (Table  2).  Portunus  spp.  first  crabs 
were  absent  from  both  the  waters  in  front  and 
behind  the  set  of  internal  waves;  they  were  abun- 
dant in  the  waters  over  the  internal  wave  (Table  2). 
The  densities  over  the  internal  waves  of  Portunus 
spp.  megalopae  and  first  crabs  were  significantly 
higher  than  their  densities  in  front  of  the  set  of 
waves  (Table  2).  Callinectes  spp.  were  uncommon 
in  the  samples  though  their  density  was  significantly 
higher  in  the  slick  than  in  the  rippled  waters.  In- 
cluded under  the  category  of  miscellaneous  mega- 
lopae were  the  species  Uca  spp.,  Sesarma  spp.,  and 
majid  crabs,  all  forms  which  were  found  to  be  more 
abundant  in  the  water  column  than  in  the  neuston 
(Table  2).  There  was  not  a  significant  difference 
between  their  density  in  the  slicks  vs.  the  rippled 
waters,  suggesting  that  these  megalopae  were  not 
carried  shoreward  by  the  sampled  set  of  internal 
waves.  The  data  indicate  that  definitely  Portunus 
spp.  and  possibly  Callinectes  spp.  were  carried  on- 
shore by  the  sampled  set  of  internal  waves. 

Other  organisms  counted  in  the  samples  were 
adult  amphipods,  polychaete  larvae,  and  Penaeus 
spp.  postlarvae.  Densities  of  these  types  of  or- 
ganisms were  significantly  higher  in  the  slicks  than 
the  rippled  waters  (Table  2).  While  in  each  instance 
densities  were  lower  behind  the  set  of  internal  waves 
than  in  front,  the  differences  were  not  statistically 


significant.  The  density  of  polychaete  larvae  and 
Penaeus  spp.  postlarvae  over  the  internal  waves 
were  significantly  higher  than  the  density  in  front 
of  the  set.  These  data  suggest  that  these  inverte- 
brate larvae  were  also  transported  onshore  by  the 
set  of  internal  waves. 

DISCUSSION 

Tidally  generated  internal  waves  have  been  ob- 
served in  many  areas  of  the  world  (Apel  et  al.  1975; 
Fu  and  Holt  1982;  Sawyer  1983).  Larvae  may  util- 
ize internal  waves  as  a  mechanism  of  onshore  migra- 
tion along  many  coastlines.  Testing  this  hypothesis 
would  require  the  impossible  task  of  making  obser- 
vations along  all  coastlines.  An  alternate  technique 
is  to  test  for  internal  wave  transport  in  areas  with 
different  combinations  of  tidal  range  and  shelf 
width.  Previous  work  has  been  done  in  areas  of 
mesotides  (tidal  range  2  to  4  m,  Davis  1964)  and 
either  narrow  (<6  km.  Shanks  1983)  or  moderate 
(about  30  km,  Kingsford  and  Choat  1986)  shelf 
widths.  The  Atlantic  adjacent  to  the  Beaufort  Inlet 
is  characterized  by  microtides  (tidal  range  <2  m, 
Davis  1964)  and  a  wide  shelf  (about  80  km).  The  first 
purpose  of  this  research  was  to  test  if  onshore  trans- 
port of  larvae  could  occur  in  an  area  with  these 
characteristics.  On  the  three  dates  in  which  the 
internal-wave-slicks  were  oriented  roughly  parallel 
to  shore  the  data  suggest  that  internal  waves  were 
transporting  larvae  and  flotsam  onshore.  If  the 
waters  around  the  Beaufort  Inlet  are  representative 
of  localities  with  microtides  and  wide  shelves,  then 
onshore  migration  of  larvae  via  internal  waves  may 
occur  in  other  similar  areas  of  the  world. 

On  three  dates  the  internal-wave-slicks  were 
oriented  nearly  perpendicular  to  shore  and  were  pro- 
pagating roughly  northward.  Over  the  continental 
shelf,  internal  waves  oriented  roughly  perpendicular 
to  shore  have  been  observed  in  satellite  photo- 
graphs. These  internal  waves  are  invariably  associ- 
ated with  submarine  canyons  (Apel  et  al.  1976). 
There  are  no  submarine  canyons  in  Onslow  Bay.  The 
internal  waves  causing  these  slicks  may  have  been 
formed  over  Frying  Pan  Shoals  (Fig.  1).  These 
shoals  extend  about  50  km  across  the  shelf  from  the 
end  of  Cape  Fear  and  form  the  southern  boundary 
of  Onslow  Bay.  Just  north  of  the  study  area,  Cape 
Lookout  and  the  Cape  Lookout  Shoals  also  extend 
out  across  the  shelf  (Fig.  1).  On  a  flight  over  Cape 
Lookout  numerous  slicks  oriented  parallel  to  Cape 
Lookout  Shoals  were  observed  propagating  north- 
ward into  Rayleigh  Bay  (pers.  obs.).  The  geography 


711 


FISHERY  BULLETIN:  VOL.  86.  NO.  4 


and  oceanography  of  the  Cape  Lookout  and  Frying 
Pan  Shoals  are  so  similar  that  by  analogy  the  inter- 
nal waves  oriented  perpendicular  to  shore  observed 
during  this  study  may  have  been  formed  over  Fry- 
ing Pan  Shoals  and  propagated  northward  into 
Onslow  Bay.  The  mechanism  for  the  formation  of 
these  internal  waves  is  unknown. 

As  was  observed  in  a  previous  study  (Shanks 
1983),  only  some  sets  of  internal  waves  transported 
larvae  or  flotsam.  In  this  study  only  those  slicks 
aligned  parallel  to  shore  caused  transport.  It  is  not 
clear  why  some  sets  of  waves  cause  transport  while 
others  do  not.  The  physical  characteristics  of  tidal- 
ly  generated  internal  waves  are  quite  variable.  The 
amplitude  (Cairns  1968)  and  decay  distance  of  in- 
ternal waves  varies  over  the  fortnightly  tidal  cycle 
(Brink  1988).  Further,  the  depth,  wave  length,  and 
shape  of  the  internal  waves  is  dependent  on  the 
relative  depths  of  the  thermocline  and  the  bottom 
and  wave  amplitude  (LaFond  1959;  Lee  1961;  Cairns 
1967,  1968).  What  is  needed  is  simultaneous  mea- 
surements of  the  physical  characteristics  of  a  set  of 
internal  waves  much  like  those  made  by  LaFond 
(1959)  with  measurements  of  the  transport  of  flot- 
sam or  larvae. 

The  second  purpose  of  this  research  was  to  test 
several  new  predictions  derived  from  the  hypothesis 
that  internal  waves  can  transport  larvae.  If  trans- 
port was  occurring,  then  one  would  predict  that 
1)  due  to  the  accumulation  of  larvae  in  the  con- 
vergence zones  as  internal  waves  propagate  shore- 
ward, the  density  of  larval  types  transported  by  the 
internal  waves  should  be  significantly  lower  behind 
than  in  front  of  the  set,  2)  the  observed  density  of 
larvae  over  an  internal  wave  should  be  significant- 
ly higher  than  in  the  waters  in  front  of  the  set  of 
waves,  and  3)  there  may  be  types  of  larvae  which 
are  only  present  in  the  slicks,  suggesting  that  they 
had  been  carried  into  the  area  from  a  distant  source. 
The  appropriate  samples  to  test  these  three  predic- 
tions were  collected  on  24  June  1985.  The  densities 
of  several  larval  types  were  significantly  higher  in 
the  waters  in  front  of  the  internal  wave  set  than 
behind.  There  were  many  instances  in  which  the 
observed  density  over  the  internal  waves  of  a  type 
of  larvae  was  significantly  higher  than  in  the  waters 
in  front  of  the  set  of  internal  waves.  Lastly,  there 
were  a  number  of  organisms  that  were  only  caught 
in  the  convergence  zones  over  the  internal  waves. 
In  this  set  of  observations  the  three  predictions  were 
confirmed  indicating  that  this  set  of  internal  waves 
was  carrying  larvae  and  flotsam  shoreward. 

The  significant  differences  in  larval  densities 


observed  on  24  June  (i.e.,  in  front  vs.  behind  and 
over  the  internal  waves  vs.  in  the  front  of  the  set 
of  waves)  may  have  been  due  to  fortuitous  cross- 
shelf  patchiness  in  larval  density.  Because  conditions 
allowed  only  one  opportunity  to  sample  in  front  and 
behind  a  set  of  internal  waves,  this  alternate  ex- 
planation can  not  be  rejected.  Cross-shelf  larval 
patchiness  is,  however,  probably  not  an  adequate 
explanation  because  of  the  very  short  distance  over 
which  large  differences  in  larval  abundances  were 
observed.  For  example,  the  tows  in  front  of  the  set 
and  the  tows  in  the  slick  and  rippled  water  over  the 
set  were  separated  by  at  most  200  m,  yet  there  were 
many  cases  (14,  Tables  2,  4)  where  larval  abun- 
dances were  different  by  at  least  a  factor  of  10.  Dif- 
ferences in  plankton  abundance  of  this  magnitude 
and  over  this  small  a  distance  are  almost  always 
associated  with  oceanographic  features  (e.g.,  fronts: 
Boden  1952;  Pingree  et  al.  1974;  Owen  1981;  Fogg 
et  al.  1985).  The  only  apparent  oceanographic 
feature  in  the  study  area  was  the  internal-wave- 
slicks.  The  observed  differences  in  larval  density 
were  probably  caused  by  the  internal  waves. 

The  data  in  Figure  2,  the  density  of  fish  by  stage 
of  development  over  the  internal  waves  vs.  in  front 
of  the  set  of  waves,  suggest  that  only  the  later 
developmental  stages  of  fish  (juvenile  through  early 
postflexion)  were  transported  onshore  by  the  set  of 
internal  waves  sampled  on  24  June  1985.  All  five 
of  the  abundant  fish  species  (Table  4)  inhabit  near 
shore  or  estuarine  habitats  as  adults  (Fritzsche  1978; 
Hardy  1978;  Johnson  1978;  Martin  and  Drewry 
1978).  Flexion  and  preflexion  larval  fish  are  clearly 
not  competent  to  adopt  the  adult  or  nursery  habitat, 
and  the  data  suggest  that  they  were  not  carried  on- 
shore by  the  internal  waves.  There  may  be  adaptive 
advantages  to  planktonic  larvae  avoiding  estuarine 
waters  during  their  development  (Strathmann 
1982).  Juvenile  fish  and,  perhaps,  also  postflexion 
larvae,  are  competent  to  recruit  into  the  adult  or 
nursery  habitat.  Transport  onshore  by  internal 
waves  may,  therefore,  be  adaptively  advantageous 
for  those  fish  whose  adult  or  nursery  habitat  is 
coastal  or  estuarine. 

The  larval  development  of  the  blue  crab,  Calli- 
nectes  sapidus,  occurs  at  sea  (Smyth  1980; 
McConaugha  et  al.  1983;  Johnson  1985b).  The  lar- 
vae are  present  in  the  waters  over  the  continental 
shelf  and  out  to  the  Gulf  Stream  (Smyth  1980).  At 
the  end  of  the  larval  period  the  megalopae  must 
return  to  an  estuarine  habitat  to  continue  its  adult 
existence.  How  the  megalopae  make  this  migration 
is  an  open  question  (Johnson  et  al.  1984;  Johnson 


712 


SHANKS:  SHOREWARD  LARVAL  TRANSPORT 


1985b).  The  behavior  of  the  megalopae  (Sulkin  and 
Van  Heukelem  1981)  and  their  distribution  in  the 
plankton  (Smyth  1980;  Johnson  1985a)  both  suggest 
that  these  larvae  are  inhabitants  of  the  neuston.  Lar- 
vae that  inhabit  the  neuston  can  be  transported  on- 
shore by  internal  waves  (Shanks  1985).  On  4  and  24 
June  and  21  August  the  densities  of  Callinectes  spp. 
megalopae  and  first  crabs  were  significantly  higher 
in  the  convergence  zones  over  the  internal  waves 
than  in  the  divergences,  suggesting  that  Callinectes 
spp.  were  being  transported  onshore  by  the  sampled 
internal  waves.  On  24  June,  when  Callinectes  spp. 
were  uncommon,  there  was  not  a  significant  differ- 
ence in  the  density  of  Callinectes  spp.  in  front  vs. 
behind  the  internal  wave  nor  was  there  a  significant 
difference  in  the  density  of  blue  crabs  over  vs.  in 
front  of  the  set  of  waves.  These  results  are  mixed, 
but  they  do  suggest  that  the  megalopae  of  Calli- 
nectes spp.  may  be  transported  shoreward  in  the  con- 
vergence zones  over  internal  waves. 

The  megalopae  of  a  variety  of  crab  species  were 
only  caught  in  the  water  column  (Table  3  and  see 
Johnson  1985a).  Some  of  these  megalopae  as  adults 
occupy  near  shore  and  even  estuarine  habitats.  If 
these  megalopae  migrate  onshore  they  must  be 
utilizing  some  mechanism  of  onshore  transport  other 
than  slicks  over  internal  waves. 

In  conclusion,  the  data  presented  in  this  paper  in- 
dicate that  in  an  area  where  the  tides  are  of  small 
amplitude  and  the  continental  shelf  is  wide,  inter- 
nal waves  are  nevertheless  capable  of  transporting 
larval  invertebrates  and  fish  shoreward.  The  sam- 
ples collected  on  24  June  1985  more  critically  test 
the  hypothesis  that  internal  waves  cause  cross-shelf 
transport  and  the  results  support  the  hypothesis. 

ACKNOWLEDGMENTS 

Assistance  with  the  field  work  was  enthusiastical- 
ly provided  by  0.  McMillan,  G.  Safrit,  J.  Purifoy, 
and  W.  Graham.  G.  Safrit,  in  addition,  heroically  and 
with  really  very  little  complaint,  sorted  most  of  the 
plankton  samples.  Comments  by  M.  Kingsford  and 
R.  Forward  improved  the  manuscript.  Figures  were 
prepared  by  V.  and  H.  Page  and  F.  Schwartz  helped 
to  identify  larval  fish. 

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714 


TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH, 
SEBASTES  MYSTINUS,  IN  A  COASTAL  UPWELLING  SYSTEM 

OFF  NORTHERN  CALIFORNIA 

Edmund  S.  Hobson  and  James  R.  Chess^ 

ABSTRACT 

The  planktivorous  Sebastes  mystinus  in  nearshore  habitats  off  northern  California  feeds  primarily  on 
relatively  large,  gelatinous  zooplankters  that  originate  offshore,  including  thaliaceans,  ctenophores,  and 
pelagic  hydrozoans.  These  prey  organisms  increase  in  number  during  spring  and  summer  when  surface 
waters  driven  seaward  by  northerly  winds  carry  upwelled  nutrients  to  diatoms  that  nourish  offshore 
zooplankton  populations.  But  the  resulting  increases  in  zooplankton  during  this  upwelling  season  become 
available  to  S.  mystinus  in  the  nearshore  habitats  only  when  the  surface  flow  turns  shoreward  during 
intermittent  episodes  of  downwelling.  Although  some  of  this  shoreward  flow  is  driven  by  southerly  winds, 
much  of  it  occurs  during  calms,  or  under  northerlies  lacking  the  velocities  needed  to  drive  surface  waters 
seaward.  There  is  increasing  shoreward  transport  during  fall  and  winter,  when  downwelling  episodes 
are  more  frequent,  but  progressively  fewer  zooplankters  are  carried  into  the  nearshore  habitats.  This 
is  because  as  less  nutrients  come  into  the  system  with  the  reduced  upwelling,  and  as  available  sunlight 
declines,  the  offshore  zooplankton  populations  suffer  from  shortages  of  diatoms.  Although  S.  mystinus 
compensates  for  decreased  numbers  of  zooplankters  during  most  of  the  year  vnth  increased  consump- 
tion of  specific  plant  materials,  i.e.,  Nereocystis  sori,  or  the  monostromatic  epiphytes  Porphyra  nereocystis 
and  Smithora  naidum  (depending  on  the  season),  these  too  are  in  short  supply  during  winter.  In  winter, 
therefore,  S.  mystinus  experiences  its  poorest  feeding  conditions.  Thus,  S.  mystinus  is  adapted  to  feeding 
opportunities  created  by  alternating  episodes  of  strong  upwelling  and  strong  downwelling,  and  is  most 
abundant  within  its  range  along  the  west  coast  of  North  America  where  both  conditions  are  well  developed. 


Coastal  marine  fishes  in  temperate  latitudes  experi- 
ence major  seasonal  changes  in  their  environment. 
In  study  off  northern  California's  Mendocino  coast 
(lat.  39°13'N,  long,  123°14'W),  we  studied  the  ef- 
fects of  seasonal  change  on  the  trophic  relations  of 
the  blue  rockfish,  Sebastes  mystinus  (Fig.  1). 
Sebastes  mystinus,  a  major  species  in  the  recrea- 
tional fishery  off  northern  and  central  California 
(Frey  1971),  is  a  planktivore  that  feeds  on  scypho- 
zoans,  ctenophores,  copepods,  amphipods,  thalia- 
ceans, fishes,  and  algae  (Gotshall  et  al.  1965;  Love 
and  Ebeling  1978;  Hallacher  and  Roberts  1985). 
Although  its  diet  is  known  to  vary  with  the  season, 
relationships  involving  specific  environmental 
features,  and  the  availability  of  prey,  remain 
unclear. 

The  marine  environment  off  California  is  pro- 
foundly affected  by  seasonal  variations  in  wind- 
driven  movement  of  the  surface  water  (Reid  et  al. 
1958;  Bolin  and  Abbott  1962;  Bakun  and  Parrish 


^Southwest  Fisheries  Center  Tiburon  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  3150  Paradise  Drive,  Tiburon, 
CA  94920. 


1980).  This  force,  known  as  Ekman  transport 
(Ekman  1905),  is  strongest  off  the  Mendocino  coast 
(Bakun  1973),  where  it  must  be  a  major  influence 
on  the  trophic  relations  of  S.  mystinus.  Because 
Ekman  transport  is  the  basis  of  coastal  upwelling 
(e.g..  Smith  1968),  it  is  of  great  importance  to 
biological  productivity  (e.g.,  Boje  and  Tomczak  1978) 
and,  therefore,  to  the  availability  of  food. 

Upwelling  develops  along  the  coast  of  northern 
California  when  surface  waters  driven  seaward  by 
northerly  winds,  such  as  those  characteristic  of 
spring  and  summer,  are  replaced  by  colder  subsur- 
face waters  from  offshore  that  flow  up  into  the  near- 
shore  habitat  (Smith  1968;  Bakun  1973).  On  the 
other  hand,  an  opposing  condition  develops  when 
surface  waters  driven  shoreward  by  southerly 
winds,  such  as  those  characteristic  of  winter  storms, 
flow  over  the  colder  nearshore  waters  to  produce 
the  condition  sometimes  called  downwelling  (Bakun 
1973).  But  despite  the  strong  seasonality  evident  in 
both  upwelling  and  downwelling,  short-term  rever- 
sals lasting  just  a  few  days  occur  throughout  the 
year  (see  Bakun  [1973]  and  Mason  and  Bakun 
[1986]). 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN:  VOL,  86,  NO.  4,  1988. 


715 


FISIIKKV  HILLKTIN:  VOL.  8(;.  NO.  4 


Figure  \.— Sebast.es  mystinus  next  to  canopy  of  bull  kelp,  Nereocystis  leutkeana,  off  Mendocino. 


In  this  paper  we  consider  how  the  trophic  rela- 
tions of  5.  mystinus  respond  as  seaward  and  shore- 
ward movements  of  the  surface  water  produce 
alternating  episodes  of  upwelling  and  downwelling. 
Emphasis  is  on  how  the  resulting  environmental 
changes  alter  the  relative  availability  of  food. 
Among  studies  of  marine  fishes,  this  is,  to  our 
knowledge,  the  most  comprehensive  attempt  yet 
made  to  integrate  data  on  food,  potential  food,  and 
environmental  variables— all  key  elements  in  trophic 
relations. 

METHODS 

The  study  lasted  from  the  winter  of  1976-77  to 
the  summer  of  1981,  with  the  first  15  months  in- 
volving exploratory  work  along  about  15  km  of  the 
Mendocino  coast  south  of  Point  Cabrillo.  A  study 
site  was  then  established  off  Salmon  Point  (Fig.  2) 


during  the  spring  of  1978,  and  from  that  time  sam- 
pling followed  a  set  regime. 

Study  Site 

The  study  site  (Fig.  3)  was  in  10-15  m  of  water, 
about  300  m  from  shore.  Rocks  the  size  of  houses 
jutted  10-15  m  above  the  water  at  the  seaward 
perimeter  of  the  site,  but  despite  the  shelter  offered 
by  these  rocks,  most  of  the  area  was  regularly  swept 
by  wind  and  sea.  Except  for  isolated  pockets  of  sand, 
the  site  was  floored  by  rock  pavement  and  boulders 
(some  5-15  m  in  diameter),  largely  swept  clean  by 
the  turbulence  and  surge  that  prevailed  most  of  the 
time. 

Environmental  Variables 

During  each  sampling  session,  we  noted  the  gen- 


716 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


42°N 


41°N 


40°N 


39°N 


38°N 


37"N 


125°W  124°W  123°W  122°W  121°W 

Figure  2.— The  coast  of  northern  California. 


eral  state  of  the  weather,  including  wind  direction 
and  estimated  velocity.  In  this  paper  (except  in 
Figures  4  and  9,  as  noted  below)  we  consider  winds 
from  between  northwest  and  northeast  to  be 
"northerly",  and  from  between  SW  and  SE  to  be 
"southerly".  We  also  noted  sea  conditions  and 
recorded  sea-surface  temperatures.  More  precise 
wind  data  became  available  after  May  1980,  when 
a  NOAA  weather  station  was  established  at  Mendo- 
cino. During  the  same  month,  we  placed  recording 
thermographs  at  depths  of  6  and  20  m  in  the  study 
area,  and  although  the  deeper  site  was  abandoned 
after  1981  in  favor  of  replicating  the  record  with 
two  instruments  at  the  shallower  site,  these  have 
given  us  a  continuous  record  of  water  temperatures 
from  then  until  the  present  (Spring  of  1988).  Based 
on  these  observations  and  in  situ  visual  assessments 


of  the  plankton  and  water  characteristics,  usually 
we  could  tell  whether  upwelling  or  downwelling 
predominated  during  a  sampling  session  even 
though  most  of  the  time  conditions  were  to  some 
extent  mixed. 

Diet  and  Occurrences  of  Food 

To  relate  the  diet  of  S.  mystinus  to  foods  present 
at  the  time  of  feeding,  we  took  concurrent  samples 
of  gut  contents  and  plankton,  as  well  as  some  selec- 
tive samples  of  the  benthos.  Complications  from 
normal  diel  variability  were  reduced  by  taking  all 
samples  between  the  hours  of  1100  and  1300.  The 
sampling  schedule  was  strongly  influenced  by  the 
weather,  as  much  of  the  time  work  was  prevented 
by  high  seas  and/or  long-period  swells  and  result- 


717 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


Figure  3.— Study  site  off  Salmon  Point. 


ing  turbulence.  Although  all  seasons  were  sampled, 
most  collections  and  observations  were  made  when 
the  sea  was  relatively  calm,  a  condition  that  gen- 
erally lasted  no  more  than  a  few  days  at  a  time. 
Nevertheless,  because  often  the  weather  turned 
while  observations  were  under  way,  turbulent  con- 
ditions were  well  represented. 

Fish 

The  5.  mystinus  studied  at  Mendocino  were  spa- 
tially segregated  by  size  and  age.  This  paper  con- 
siders only  adult  fish  of  more  than  200  mm  SL, 
which  forage  by  day  in  aggregations  of  up  to  several 
hundred  individuals  in  the  upper  levels  of  the  water 
column.  The  analysis  of  gut-contents  involved  247 
individuals,  200-350  mm  SL,  taken  from  these  ag- 
gregations using  handheld  spears.  Juveniles  and 


subadults  are  excluded  because  they  forage  at  lower 
levels  of  the  water  column  and  consume  organisms 
not  taken  by  adults. 

Plankton 

Most  sampling  sessions  included  two  plankton 
collections:  one  at  the  sea  surface,  and  the  other 
between  1  and  2  m  above  the  sea  floor.  Only  the  27 
surface  collections  are  considered  here,  however, 
because  the  others  sampled  at  levels  of  the  water 
column  below  where  adults  usually  feed.  For  each 
collection  we  used  scuba  to  push  the  net  (0.333  mm 
mesh  in  a  78  cm  x  78  cm  frame)  through  the  water 
for  5  minutes.  Occasionally  the  net  broke  the  sur- 
face, but  usually  was  kept  underwater  to  avoid  foul- 
ing the  sample  with  floating  debris.  (See  Hobson  and 
Chess  1976  for  additional  information  on  this  pro- 


718 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


cedure,  and  how  the  samples  were  processed  and 
analyzed.)  We  visually  assessed  the  larger  zooplank- 
ters  in  the  water  column  during  each  collection,  as 
well  as  at  other  times  during  each  sampling  session, 
and  these  observations  greatly  enhanced  our  abil- 
ity to  interpret  the  samples. 

Benthos 

Although  S.  mystinus  is  a  planktivore,  it  is  impor- 
tant to  include  the  benthos  when  documenting 
environmental  changes  that  affect  its  feeding.  Many 
of  the  actual  or  potential  foods  of  5.  mystinus 
originate  on  the  underlying  substrata,  and  their  oc- 
currences in  the  water  column  relate  to  changes  in 
the  benthos.  Thus,  assessments  of  the  benthos  done 
during  other  studies  concurrently  under  way  in  the 
study  area,  including  visual  counts  and  airlift  sam- 
ples, produced  data  that  are  incorporated  into  this 
report  where  pertinent. 

Ranking  Prey  Taxa 

To  estimate  the  relative  importance  of  the  various 
prey  organisms  in  the  diet  of  S.  mystinus,  we 
grouped  related  forms  in  multispecies  categories 
that  were  then  ranked.  The  ranking  was  based  on 
an  index  calculated  as:  relative  frequency  of  occur- 
rence in  diet  x  mean  number  of  individuals  con- 
sumed X  percent  of  total  diet  volume  that  was 
represented  by  that  category.  This  index  is  similar 
to  the  widely  used  Index  of  Relative  Importance 
(IRI)  of  Pinkas  et  al.  (1971),  but  puts  more  weight 
on  numbers  consumed.  It  is  important  to  emphasize 
numbers  consumed  in  quantifying  the  feeding  ac- 
tivity of  S.  mystinus  (and  most  other  planktivores) 
because  the  many  small  prey  are  ingested  indi\adual- 
ly,  making  the  capture  of  each  a  discrete  act. 

RESULTS 

During  the  four  years  of  this  study,  spring  and 
(to  a  lesser  extent)  summer  constituted  an  upwell- 
ing  season,  while  fall  and  (to  a  greater  extent)  winter 
constituted  a  downwelling  season.  The  spring  tran- 
sition between  downwelling  and  upwelling  seasons 
occurred  over  just  a  few  days  between  late  March 
and  early  April,  whereas  the  less  distinct  fall  tran- 
sition between  upwelling  and  downwelling  seasons 
was  extended  over  a  month  or  more  between  mid- 
August  and  late  October. 

Despite  this  seasonal  pattern,  however,  there 
were  short-term  reversals  of  just  a  few  days  that 


had  profound  effects.  Reactions  of  the  environment 
to  major  wind  changes  were  virtually  immediate. 
Sharply  reduced  water  temperatures  signifying  the 
intrusion  of  upwelled  water  often  followed  within 
hours  of  increased  northerly  winds,  while  warmer 
water  rich  in  such  readily  visible  zooplankters  as 
ctenophores,  hydrozoans,  pteropods,  thaliaceans, 
and  larvaceans,  often  flowed  into  the  nearshore 
habitats  within  a  day  after  the  onset  of  southerly 
winds.  Conditions  during  each  sampling  session  are 
listed  in  Table  1. 

Although  downwelling  conditions  were  most  in- 
tense under  southerly  winds,  they  also  developed 
during  calms  and  with  weak  northerlies.  We  found 
that  generally  it  took  northerlies  of  10  knots  (K)  or 
more  to  produce  upwelling  conditions,  although  as 
little  as  5  K  were  effective  if  held  steady  for  several 
days.  In  the  absence  of  sufficient  force,  however, 
upwelling  ceased  and  warmer  water  rich  in  offshore 
zooplankters  entered  the  nearshore  habitat,  gen- 
erally moving  in  a  southerly  direction  along  the 
coast. 

The  close  relation  between  shifts  in  prevailing 
wind  and  alternations  between  upwelling  and  down- 
welling is  illustrated  by  comparing  the  wind  direc- 
tion and  velocity  measured  by  the  nearby  NOAA 
weather  station  to  the  sea  temperatures  recorded 
by  our  thermographs.  Although  these  data  became 
available  only  during  the  last  year  of  the  study, 
subsequent  years  have  produced  similar  profiles  (ex- 
cept 1982-83,  when  there  w^as  a  strong  El  Nino). 
Thus,  the  pattern  of  sea  temperatures  and  wind  dur- 
ing the  upwelling  season  of  1981  and  during  the 
downwelling  season  of  1980-81,  recounted  in  detail 
below,  are  representative. 

The  Upwelling  Season 

The  upwelling  season  began  in  late  March  or  early 
April  with  a  precipitous  drop  in  sea  temperatures. 
It  was  a  drop  of  about  3  °C— typically  from 
11°-12°C  to  8°-9°C-that  coincided  with  the  onset 
of  strong,  persistent  northerly  winds  characteristic 
of  this  time  of  year.  The  pattern  of  sea  temperatures 
and  wind  during  the  1981  upwelling  season  (Fig.  4) 
illustrates  how  upwelling  and  downwelling  related 
to  prevailing  winds  during  that  period. 

Habitat  Conditions 

At  the  start  of  the  upwelling  season,  the  nearshore 
habitats  appeared  barren.  Storm  seas  during  the 
previous  winter  had  carried  away  most  of  the  bull 


719 


FISHERY  HILI.ETIN;  VOL.  86.  NO.  4 


25 

>- 

20 

_l 

a: 

UJ 

15 

1- 

on 

o 

10 

z 

c 

Jd 

5 

o. 

0 

>- 

_l 

a: 

5 

LU 

X 

3 

10 

O 

CO 

15 

EVENT 


o 


a: 

r) 

!< 
oc 

UJ 
Q. 

:s 

UJ 


12      -1 


11 
10 
9 
8 

7 


APRIL 


MAY 


JUNE 


JULY 


Figure  4.— Sea  temperatures  and  wind  off  Mendocino  during  the  1981  upwelling  season.  Plotted  sea  tem.pefatures  are  estimated 
daily  means  from  record  of  continuously  recording  thermograph.  Plotted  wind  velocities  and  directions  are  averages  of  2-5 
daily  readings.  Southerly  values  represent  winds  from  south  of  east-west  axis,  northerly  values  represent  winds  from  north 
of  this  axis.  The  highly  infrequent  winds  from  due  west  or  due  east  were  entered  as  zero.  In  calculating  values  for  days  of 
both  northerlies  and  southerlies,  the  former  were  considered  positive,  the  latter  negative.  The  following  accounts  of  events 
identified  in  the  figure  cite  wind  velocities  that  exceed  plotted  values,  which  are  averages. 

Event  1— Seven  days  of  southerly  winds,  19-25  March,  with  sea  temperatures  rising  to  11.1°C,  represented  the  last  down- 
welling  episode  of  the  1980-81  downwelling  season. 

Event  2— The  1981  upwelling  season  began  on  26  March,  as  2  weeks  of  strong  northerlies  (to  4  April)  resulted  in  an  abrupt 
drop  of  more  than  3°C  in  sea  temperature. 

Event  3— Water  temperatures  fell  to  the  lowest  point  of  the  year,  7.3°C,  on  13  May  following  over  2  weeks  of  10-30  K  northerlies. 

Event  4— The  first  of  a  series  of  downwelling  episodes  during  this  upwelling  season  developed  as  8-12  K  southerlies  on  17 
and  18  May  resulted  in  a  sharp  rise  in  sea  temperature  to  8.5°C. 

Event  5— Temperatures  dipped  when  the  wind  shifted  back  to  the  north  on  19  May.  Over  the  next  month  variable  northerlies 
blew  at  less  than  10  K,  and  although  sea  temperatures  did  not  vary  more  than  a  few  tenths  of  a  degree,  they  were  consistently 
about  1°C  warmer  than  before  the  17-18  May  downwelling  episode. 

Event  6— On  28  June,  the  first  of  6  consecutive  days  of  4-10  K  southerlies,  sea  temperatures  began  a  steep  climb  to  above 
10°C  that  marked  the  upwelling  season's  second  major  downwelling  episode. 

Event  7— Northerlies  returned  on  3  July,  and  sea  temperatures  immediately  dropped  below  10°C  again.  Despite  northerlies 
of  5-7  K  over  the  next  2  weeks,  sea  temperatures  remained  at  about  9.5°C,  again  about  1  °C  warmer  than  before  the  28  June-2 
July  downwelling  episode. 

Event  8— With  southerlies  of  5-10  K  on  7  of  the  9  days  between  12  and  20  July,  sea  temperatures  once  again  rose  above 
10°C  to  mark  the  season's  third  major  downwelling  episode. 


720 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


Table  i  . 


-Conditions  during  sampling  sessions  off  Salmon  Point,  Mendocino 
County,  1978-81. 


Sea 

Wind 

Plankton 

Fish  sampled 

Size 

temp. 

dir.  :  vel. 

condi- 

range 

Mean 

Date 

CO 

(knots) 

tion^ 

No. 

(mm) 

(mm) 

1.  Upwelling 

season. 

upwelling  conditions 

5/10/78 

8.5 

NW:  10 

U/M 

7 

270-312 

289.7 

8/08/78 

10.5 

NW:  10 

U 

6 

285-309 

2930 

6/12/79 

9.0 

NW:  15 

U/M 

7 

241-312 

239.3 

6/24/80 

10.0 

None 

U 

9 

224-308 

250.0 

4/09/81 

8.1 

NW:  15 

U 

8 

235-300 

265.6 

5/19/81 

9.5 

WNW:  10 

U/M 

1 

260 

260.0 

6/17/81 

9.0 

NNW:  10 

U 

13 

260-336 

301.0 

II.  Upwelling 

season 

downwelling 

conditions 

6/21/78 

9.0 

None 

D/M 

3 

228-308 

270.3 

6/29/78 

10.0 

SW:  2 

D/M 

6 

240-315 

254.7 

8/23/78 

11.0 

None 

D 

6 

230-280 

259.0 

9/08/78 

14.0 

None 

D 

4 

240-295 

277.5 

4/24/79 

10.0 

None 

M 

9 

225-313 

277.7 

7/24/79 

11.5 

None 

M 

11 

208-302 

239.5 

8/27/79 

12.8 

NW:  5 

M 

12 

204-335 

264.6 

5/29/80 

9.5 

None 

D/M 

20 

213-330 

276.4 

7/17/80 

11.0 

NW:  5 

D/M 

5 

240-304 

270.8 

8/21/80 

11.0 

S:  5 

D 

9 

230-305 

270.6 

III.   Downwell 

ng  season,  downwell 

ng  conditions. 

fall 

10/04/78 

11.0 

WNW:  10 

D  + 

3 

270-310 

286.7 

10/18/78 

12.0 

S:  5 

D  + 

9 

220-350 

296.2 

12/08/78 

9.0 

S:  8 

D  + 

17 

227-331 

281.2 

10/16/79 

14.0 

NW:  8 

D 

13 

218-311 

280.1 

11/04/80 

12.0 

N:  6 

D 

17 

230-335 

296.6 

1 2/1 7/80 

12.0 

NNW:  5 

D 

14 

225-331 

276.3 

IV.  Downwei 

ing  season,  downwell 

ing  conditions 

winter 

2/04/79 

10 

S:  12 

D 

12 

231-320 

273.3 

3/06/79 

11 

W:  8 

D 

2 

224-260 

242.0 

1/31/80 

11 

None 

M 

16 

200-345 

275.3 

1/13/81 

13 

SW:  5 

D 

8 

275-305 

286.3 

'Plankton  condition.  D  =  Downwelling  condition:  zooplankters  considered  to  be  off- 
shore species,  especially  relatively  large  gelatinous  forms,  numerous.  U  =  Upwelling  con- 
dition: offshore  zooplankters  absent.  M  =  Mixed  condition:  some  offshore  zooplankters 
present. 


kelp,  Nereocystis  leutkeana,  which  is  the  major  com- 
ponent of  the  kelp  forests.  These  same  seas,  often 
heavily  laden  with  sediment,  had  also  scoured  the 
seafloor  of  much  of  the  algal  understory,  as  well  as 
many  of  the  sedentary  invertebrates.  Once  the  up- 
welling season  had  been  established,  however,  the 
habitats  changed  rapidly. 


Often  during  early-season  upwelling  the  water 
was  relatively  transparent,  although  after  rains  visi- 
bility often  was  limited  by  suspended  sediment  dis- 
charged into  the  nearshore  habitat  from  coastal 
streams.  By  mid-May,  however,  the  numbers  of 
planktonic  diatoms  (primarily  Chaetoceros  sp.  and 
Nitzchia  sp.)  had  greatly  increased  to  depths  of 


Event  9— In  the  last  major  upwelling  of  this  upwelling  season,  sea  temperatures  fell  to  9.4°C  on  2  September  after  10  con- 
secutive days  of  5-8  K  northerlies. 

Event  10— Sea  temperatures  rose  steadily  to  11.4°C  on  17  September  after  1-3  day  periods  of  4-8  K  northerlies  had  alter- 
nated with  1-4  day  periods  of  4-8  K  southerlies  through  the  first  half  of  that  month. 

Event  11— Sea  temperatures  fell  to  10.5°C  on  24  September  after  7  consecutive  days  of  5-15  K  northerlies.  A  shift  to  southerlies 
on  25  September  started  another  climb,  and  the  transition  to  the  downwelling  season  clearly  was  under  way.  This  transition, 
however,  was  not  nearly  so  well  defined  as  that  which  had  introduced  the  upwelling  season  6  months  before. 


721 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


10-20  m,  which  often  limited  visibility  to  a  few 
meters.  These  diatom  blooms  were  most  evident 
during  the  intermittent  episodes  of  downwelling. 
The  benthos  similarly  proliferated.  Within  a  few 
weeks  after  the  initial  upwelling,  a  growth  of  ben- 
thic  diatoms  (primarily  Isthmia  nervosa  and  Tricer- 
tium  americana)  appeared  on  the  previously  baron 
rocks,  and  even  on  sand  sheltered  from  wave  surge. 
Then  larger  elements  of  the  biota  began  to  increase 
in  size  and  number.  Particularly  evident  were  cal- 
careous sponges  (especially  Leucosolenia  spp.), 
hydroids,  and  certain  bryozoans.  Benthic  algae, 
predominantly  Desmarestia  ligulata,  rapidly  over- 
grew much  of  the  rock  substrata,  while  young  A^ereo- 
cystis  leutkeana,  which  first  appeared  on  the  sea- 
floor  in  May,  had  grown  to  the  water's  surface  by 


mid-June.  Swarms  of  mysids  were  increasingly 
numerous  near  the  seafloor  in  April  (they  had  been 
prominent  for  a  month  or  more),  and  caprellid  and 
gammaridean  amphipods  on  rocky  substrata  began 
a  sharp  increase  in  numbers. 

The  bull  kelp  had  formed  a  dense  canopy  by  mid- 
July,  and  at  about  the  same  time  large  numbers  of 
sori  (reproductive  structures)  began  falling  from  the 
kelp's  fronds.  (A  frond  that  had  recently  lost  a  sorus 
appears  at  the  left  side  of  Figure  1.)  Planktonic 
diatoms  continued  to  proliferate  during  periodic 
blooms,  but  by  this  time  the  benthic  diatoms  that 
had  carpeted  much  of  the  seafloor  during  the  spring 
were  mostly  gone.  Similarly,  the  mysid  swarms, 
which  had  peaked  in  May  and  June,  usually  began 
to  decline  by  mid-July.  Other  elements  of  the  biota, 


Table  2.— Food  of  adult  Sebastes  mystinus  relative  to  near-surface  planl<ton  during  upwelling  episodes  of  the  upwelling 

season,    n  =  7. 


Food  organism 

In  diet 

In  planl<ton 

Size 

(mm) 

% 
occur. 

X  % 
vol. 

Size 
(mm) 

% 
occur. 

X  % 
vol. 

Rank 

Taxa  (ranl<  index) 

X  no. 

X  no.' 

1 

PLANTS  (3751 .20) 

NR2 

72 

NR 

52.1 

NR 

NR 

NR 

NR 

Nereocystis  sori 

15-20 

15 

1.10 

10.6 

NR 

NR 

NR 

NR 

Porphyra  sp. 

NR 

15 

NR 

9.9 

NR 

NR 

NR 

NR 

Smithora  naidum 

NR 

21 

NR 

17.0 

NR 

NR 

NR 

NR 

Others 

NR 

21 

NR 

14.6 

NR 

NR 

NR 

NR 

2 

PELAGIC  HYDROZOA  (1373.30) 
Hydromedusae 

10-30 

21 

4.51 

14.5 

<1-4 

86 

120.08 

2.3 

Eutonina  indlcans 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Others 

— 

0 

0.00 

0.0 

<1-2 

86 

68.65 

0.6 

Syphonophora 

Muggiaea  atlantica 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Stephanomia  bijuga 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Others 

— 

0 

0.00 

0.0 

3-4 

14 

51.43 

1.7 

Chondrophora 

Velella  velella 

10-30 

21 

4.51 

14.5 

NA^ 

NA 

NA 

NA 

3 

MYSIDACEA  (203.15) 

5-7 

3 

10.26 

6.6 

— 

0 

0.00 

0.0 

Acanthomysis  spp."* 

5-7 

3 

10.26 

6.6 

— 

0 

0.00 

0.0 

Others 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

4 

SCYPHOZOA  (61.60)^ 

NR 

8 

NR 

7.7 

NR 

NR 

NR 

NR 

Fragments 

NR 

8 

NR 

7.7 

NR 

NR 

NR 

NR 

5 

EUPHAUSIACEA  (35.10) 

5-8 

15 

1.95 

1.2 

<1-4 

57 

363.60 

3.1 

Larvae 

— 

0 

0.00 

0.0 

<1-4 

57 

363.60 

3.1 

Thysanoessa  spp. 

5-8 

15 

1.95 

1.2 

— 

0 

0.00 

0.0 

Others 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

6 

GAMMARIDEA  (1.80) 

1-8 

8 

0.75 

0.3 

1-8 

86 

10.31 

5.3 

Atylus  tridens 

— 

0 

0.00 

0.0 

2-8 

29 

4.63 

5.0 

Ishyrocerus  n.  sp. 

4 

3 

0.31 

0.1 

— 

0 

0.00 

0.0 

Jassa  falcata^ 

1-3 

8 

0.28 

0.1 

<1-3 

14 

0.78 

NR 

Polycheria  osboumi 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Others 

2-8 

5 

0.16 

0.1 

1-2 

57 

4.90 

0.3 

7 

CALANOIDA  (0.90) 

5-6 

8 

0.16 

0.7 

<1-7 

100 

2454.09 

38.6 

Nauplii 

— 

0 

0.00 

0.0 

<1 

14 

72.00 

0.1 

Acartia  spp. 

— 

0 

0.00 

0.0 

1-2 

52 

224.23 

4.4 

Calanus  pacificus 

— 

0 

0.00 

0.0 

2-3 

57 

24.68 

5.3 

Eucalanus  californlcus 

6 

8 

0.13 

0.6 

4-7 

71 

35.48 

1.4 

Rhincalanus  nasutus 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Others' 

5 

3 

0.03 

0.1 

<1-3 

1 

2097.70 

27.4 

722 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


however,  reached  maximum  development  during  the 
summer.  Prominent  among  them  were  benthic 
algae,  e.g.,  Desmarestia  ligulata  and  Laminaria  set- 
chelli,  as  well  as  certain  sedentary  animals  including 
various  sponges,  e.g.,  Leucilla  nuttingi;  ascidians, 
e.g.,  Trididemnum  opacum;  hydroids,  e.g.,  Obelia 
spp.;  and  bryozoans,  e.g.,  Bugula  spp.  The  benthic 
caprellids  and  gammarideans  attained  peak  numbers 
during  early  summer,  when  they  literally  carpeted 
some  areas  of  the  seafloor.  Samples  taken  with  an 
airlift  during  July  1978  measured  densities  of  over 
10,000  caprellids  (mostly  Metacaprella  kennerleyi), 
and  108,000  gammarids  (mostly  Jassa  spp.)  in  m- 
quadrats.  Their  numbers  declined  sharply  during 
August,  however,  and  by  September  they  occurred 
only  in  scattered  patches. 


Feeding  Conditions 

The  diet  of  S.  mystinus  relative  to  foods  present 
during  the  upwelling  season  was  assessed  with 
samples  of  gut  contents  and  near-surface  plankton 
taken  during  7  upwelling  episodes  (Table  2)  and  10 
downwelling  episodes  (Table  3). 

More  prey  were  consumed  during  the  downwell- 
ing episodes  (e.g.,  x  no.  prey  taken  =  110.8,  vs. 
20.1  during  upwelling  episodes).  Thaliacians  (Fig. 
6)  were  the  primary  food  during  the  upwelling 
season,  but  all  were  taken  during  downwelling 
episodes— the  only  times  when  the  guts  were  packed 
with  food.  These  relatively  large,  gelatinous  zoo- 
plankters  did  not  occur  either  in  the  plankton  or  in 
the  diet  of  S.  mystinus  during  upwelling  episodes. 


Table  2— Continued. 


In  diet 

In  plankton 

Food  organism 

^JTO 

% 
occur. 

xVo 
vol. 

Size 

(mm) 

% 
occur. 

x% 
vol. 

Rank                 Taxa  {ranl<  index) 

(mm) 

X  no. 

X  no.^ 

8          CAPRELLIDEA  (0.54) 

10 

5 

1.08 

0.1 

6 

14 

2.25 

0.4 

Metacaprella  kenneriyi 

10 

5 

1.08 

0.1 

— 

0 

0.00 

0.0 

Others 

— 

0 

0.00 

0.0 

6 

14 

2.25 

0.4 

9          CHAETOGNATHA  (0.09) 

23 

3 

0.03 

1.0 

3-12 

57 

20.80 

2.1 

Undetermined  species 

23 

3 

0.03 

1.0 

3-12 

57 

20.80 

2.1 

10          FISHES  (0.02) 

12 

3 

0.05 

0.1 

2-14 

57 

14.92 

1.1 

Larvae 

12 

3 

0.05 

0.1 

2-14 

57 

14.92 

1.1 

OTHER  CATEGORIES 

Polychaeta 

— 

0 

0.00 

0.0 

<1-12 

86 

74.83 

1.4 

Molluscan  larvae 

— 

0 

0.00 

0.0 

<1-1 

57 

149.92 

1.7 

Pelagic  gastropoda 

— 

0 

0.00 

0.0 

1-5 

29 

2.32 

8.6 

Cladocera 

— 

0 

0.00 

0.0 

1 

29 

64.28 

0.7 

Harpacticoida 

— 

0 

0.00 

0.0 

1-2 

1 

54.77 

0.7 

Cyclopoidea 

— 

0 

0.00 

0.0 

1 

71 

75.08 

0.9 

Cirripedean  larvae 

— 

0 

0.00 

0.0 

<1-1 

1 

1850.92 

15.0 

Reptantian  larvae 

— 

0 

0.00 

0.0 

<1-2 

86 

134.48 

1.9 

Natantian  larvae 

— 

0 

0.00 

0.0 

2-3 

43 

72.00 

1.4 

Larvacea 

— 

0 

0.00 

0.0 

3-8 

43 

53.48 

1.1 

Eggs,  undetermined 

— 

0 

0.00 

0.0 

<1 

43 

3024.00 

9.7 

Eggs,  fish 

— 

0 

0.00 

0.0 

<1-2 

71 

312.68 

1.7 

UNIDENTIFIABLE  MATERIAL^ 

— 

— 

— 

15.9 

— 

— 

— 

— 

No.  fish  examined:  51 

No. 

plankton 

collections:  7 

224-336,  X  =  284.3  mm  SL 

X  no.  zooplankters:  4940.57 

No.  empty  =   13 

X  no.  prey:  individuals  =  20.13 

taxa  =  2.03 

'Value  is  estimated  mean  number  per  100  m^  of  water,  based  on  water  filtered  (54.8  m^)  during  the  5-min  collection. 

2NR  =  not  recorded.  The  enumeration  was  either  omitted  or  unfeasible, 

^Velella  velella  floats  on  the  water's  surface,  where  it  was  not  effectively  sampled  by  our  net. 

"Most  mysids  sampled  were  Acanthomysis  sculpta. 

^Adult  S  mystinus  often  were  seen  feeding  on  large  individuals  of  Cyanea  capillata  (Fig.  5),  which  were  avoided  by  us  during  plankton 
collections  because  they  would  have  made  collections  unmanageable. 

^According  to  Kathleen  Conlan  (National  IVIuseum  of  Canada,  P.O.  Box  3443,  Station  D,  Ottawa,  Canada  KIP  6P4,  pers.  commun. 
26  f^ay  1 987),  Jassa  falcata  does  not  occur  in  California,  and  forms  along  the  coast  considered  to  be  this  species  (including  the  form(s) 
referred  to  here)  are  undescribed. 

't^any  of  the  calanoids  from  the  plankton  included  in  this  category  were  juveniles  and  other  undetermined  stages  of  the  species 
distinguished  above.  Most  were  at  the  lower  end  of  the  size  range  indicated. 

^Foods  digested  beyond  recognition. 


723 


FISHERY  BULLETIN:  VOL.  86.  NO.  4 


«IN 


• 


.'^g'Vrf.iM:^w.\v'^.']'{-;i^>^^V*?"''^. 


»'^L.^yi-.f:-iK'i;.-x  •  wf. 


Figure  5.— Adult  Sebastes  mystinus  feeding  on  a  scyphozoan,  Cyanea  capillata. 


Table  3.— Food  of  adult  Sebastes  mystinus  relative  to  near-surface  plankton  during  downwelling  episodes  of  the 

upwelling  season,    n  =  10. 


Food  organism 

In 

diet 

In  plankton 

-         Size 
(mm) 

% 
occur 

X  no. 

X  % 
vol. 

Size 
(mm) 

% 
occur. 

X  no.' 

X  % 

vol. 

Rank 

Taxa  (rank  index) 

1 
2 

THALIACEA  (124990.86) 
Undetermined  species 

PLANTS  (2030.40) 
Nereocystis  sori 
Porphyra  sp. 
Smithora  naidum 
Others 

1-10 

1-10 

NR2 

NR 

NR 

NR 

NR 

47 

47 

54 

18 
22 
15 
28 

76.20 

76.20 

NR 

NR 
NR 
NR 
NR 

34.9 

34.9 

37.6 

9.7 
11.5 

5.5 
10.9 

3-45 

3-45 

NR 

NR 
NR 
NR 
NR 

30 

30 

NR 

NR 
NR 
NR 
NR 

130.70 

130.70 

NR 

NR 
NR 
NR 
NR 

8.9 

8.9 

NR 

NR 
NR 
NR 
NR 

724 


HOBSON  and  CHESS;  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


Table  3.— Continued. 


Food  organism 

In  diet 

In  plankton 

Size 

% 

x% 

Size 

% 

x% 

Rank 

Taxa  (rank  index) 

(mm) 

occur. 

X  no. 

vol. 

(mm) 

occur. 

X  no.^ 

vol. 

3 

CALANOIDA  (778.78) 

3-6 

20 

16.93 

2.3 

<1-8 

100 

5557.10 

31.9 

Nauplii 

— 

0 

0.00 

0.0 

<1-1 

50 

594.00 

1.8 

Acartia  spp. 

— 

0 

0.00 

0.0 

1-2 

1 

1121.00 

4.6 

Calanus  pacificus 

— 

0 

0.00 

0.0 

2-5 

70 

105.84 

2.4 

Eucalanus  californicus 

4-6 

20 

16.92 

2.3 

1-8 

70 

796.68 

14.6 

Rhincalanus  nasutus 

— 

0 

0.00 

0.0 

5-6 

10 

92.88 

2.7 

Others^ 

3 

1 

0.01 

<0.1 

<1-3 

1 

2846.70 

5.8 

4 

HYPERIIDEA  (405.13) 

2-13 

49 

6.36 

1.3 

1-7 

60 

17.10 

0.6 

Hyperoche  medusarum 

2-6 

5 

0.38 

0.1 

1-7 

20 

9.72 

0.3 

Vibilia  spp. 

5 

24 

4.35 

0.7 

— 

0 

0 

0 

Others 

2-13 

23 

1.63 

0.5 

1-3 

40 

7.38 

0.3 

5 

PELAGIC  GASTROPODA  (334.66) 
Heteropoda 

1-20 

16 

5.81 

3.6 

1-18 

20 

37.44 

1.1 

Caranaria  japonica 

10-20 

8 

2.35 

2.0 

— 

0 

0.00 

0.0 

Pteropoda 

Corolla  spectabilis 

10-15 

11 

3.45 

1.6 

15-18 

10 

4.32 

0.8 

Limacina  helicina 

3 

1 

0.01 

<0.1 

1-2 

20 

33.12 

0.3 

Others 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

PELAGIC  HYDROZOA  (318.24) 
Hydromedusae 

Eutonina  indicans 

Others 
Syphonophora 

Muggiaea  atlantica 

Stephanomla  bijuga 

Others 
Chondrophora 

Velella  velella" 

LARVACEA  (1.12) 

Undetermined 
POLYCHAETA  (0.87) 

Larvae 

Postlarvae 

FISHES  (0.73) 
Larvae 


10 


SCYPHOZOA  (0.02) 
Fragments 

OTHER  CATEGORIES 
Molluscan  larvae 
Cladocera 
Harpacticolda 
Cirripedean  larvae 
Gammaridea 
Euphausiacea 
Reptantian  larvae 
Natantian  larvae 
Chaetognatha 
Eggs,  undetermined 
Eggs,  fish 

UNIDENTIFIABLE  MATERIAL^ 

No.  fish  examined:  85 
204-335,  X  =  266.2  mm  SL 
No.  empty  =  8 

X  no.  prey:  individuals  =   110.84 
taxa  =  3.35 


2-35 


8-9 
NR 
2-16 

25-35 
2-7 

2-7 

4-25 

4-25 

8-45 

8-45 

NR 

NR 

NR 

NR 

1-8 
2-12 


NR 


30 

0 
0 

5 

5 

14 

7 

8 

8 

19 

0 
19 

4 

4 

3 

3 

1 
0 
3 
0 

12 
9 
0 
0 
0 

12 
0 


1.56        6.8 


0.00 
0.00 

0.27 
0.31 
0.51 

0.47 

0.70 

0.70 

0.46 

0.00 
0.46 

0.14 

0.14 

0.01 

0.01 

0.01 
0.00 
0.03 
0.00 
0.32 
0.11 
0.00 
0.00 
0.00 
0.74 
0.00 


0.0 
0.0 

0.2 
0.2 
2.7 

3.7 

0.2 

0.2 

0.1 

0.0 
0.1 

1.3 

1.3 

0.5 

0.5 

<0.1 
0.0 
NR 
0.0 
0.5 
0.7 
0.0 
0.0 
0.0 
0.3 
0.0 


1-20 

10-20 

1-5 

6-9 
2-6 

NA"* 

2-6 

2-6 

<1-7 

<1-4 

7 

2-11 

2-11 

NR 

NR 

«1-<1 

«1-<1 

<1-2 

<1-2 

<1-3 

<1-11 

<1-3 

1-6 

6-18 

«1-<1 

<1-2 


70 

10 
50 

10 

0 

20 

NA 

70 

70 

70 

70 
10 

50 

50 

NR 

NR 

70 
40 
70 
100 
90 
60 
70 
60 
50 
50 
60 


240.66       8.8 


0.54 
187.56 

2.88 

0.00 

49.68 

NA 

142.74 

142.74 

103.50 

90.36 
13.14 

4.50 

4.50 

NR 

NR 

631.08 

115.92 

55.25 

1372.44 

12.24 

229.86 

119.52 

43.20 

18.54 

2921.40 

48.96 


—  —  —         11.0 


No.  plankton  collections:  10 
X  no.  zooplankters:  6622.50 


0.3 
5.8 

0.6 
0.0 
2.1 

NA 

2.2 

2.2 

0.7 

0.3 
0.4 

0.4 

0.4 

NR 

NR 

4.9 
1.7 
1.1 
11.8 
0.6 
1.0 
2.1 
0.7 
1.2 
5.0 
0.9 


'Value  is  estimated  mean  number  per  100  m^  of  water,  based  on  water  filtered  (54.8  m^)  during  the  5-min  collection. 
2NR  =  not  recorded.  Ttie  enumeration  was  eithier  omitted  or  unfeasible. 

^IVIany  of  the  calanoids  from  tfie  plankton  included  in  this  category  were  juveniles  and  other  undetermined  stages  of  the  species 
distinguished  above.  Most  were  at  the  lower  end  of  the  size  range  indicated 
^Velella  velella  floats  on  the  water's  surface,  where  it  was  not  effectively  sampled  by  our  net. 
^Foods  digested  beyond  recognition. 


725 


FISHERY  Hl'LLKTlN:  VOL.  86.  NO,  4 


Figure  6.— Thaliacean,  Cyclosalpa  bakeri,  off  Mendocino.  Solitary  individual  (upper)  and  aggregate  of  individuals  (below). 

Scale  indicator  =  1  cm. 


726 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


Plant  material  ranked  as  the  top  food-category 
during  upwelling  episodes  (Table  2)  and  as  the 
second-ranked  food  during  downwelling  episodes 
(Table  3).  In  both  cases,  certain  algae  dominated  the 
diet  on  days  when  offshore  zooplankters  were  in 
short  supply  during  the  latter  part  of  the  upwelling 
season  (upwelling  episodes  on  8  August  1978,  12 
June  1979,  and  17  June  1981;  downwelling  episodes 
on  24  July  1979  and  27  August  1979;  see  Table  1). 
Algae  were  not  taken  earlier  in  the  season,  however. 
Thus,  while  the  six  individuals  collected  during  a 
plankton-poor  upwelling  episode  of  8  August  1978 
(Table  1)  were  full  of  algae  (90%  of  gut  contents) 
and  epibenthic  crustaceans  (10%),  all  eight  collected 
during  a  plankton-poor  upwelling  episode  of  9  April 
1981  (Table  1)  were  empty.  Similarly,  the  occurrence 
of  algae  in  the  diet  during  downwelling  episodes 
(Table  3)  is  based  mostly  on  20  adults  collected  dur- 
ing two  days  (24  and  27  August  1979)  when  en- 
vironmental conditions  indicated  downwelling  but 
an  absence  of  offshore  zooplankters  was  noted 
(Table  1).  There  was  no  indication  of  plants  being 
ingested  for  epiphytic  animals. 

Of  the  wide  variety  of  plant  materials  in  the  diet, 
only  the  three  most  frequently  ingested  forms  ap- 
peared to  some  extent  digested.  These  were  the  sori 
of  N.  leutkeana,  Porphyra  nereocystis  (an  epiphyte 
on  A^.  leutkeana),  and  Smithora  naidum  (an  epiphyte 
on  certain  seagrasses).  The  sori  of  A'^.  leutkeana 
developed  as  variably  sized  areas  (typically  about 
50-150  mm  long)  in  fronds  near  the  water's  surface. 
They  dropped  from  the  fronds  when  mature,  and 
we  saw  several  ingested  by  5.  mystinus  as  they 
drifted  toward  the  bottom.  Sori  recovered  from  the 
intestines  of  S.  mystinus  were  more  translucent 
than  sori  from  the  stomach,  but  comparison  under 
magnification  of  sectioned  material  from  both 
regions  of  the  gut  (Fig.  7)  indicated  that  only  zoo- 
spores were  digested.  Ingested  fragments  of  P. 
nereocystis  and  S.  naidum,  both  species  having 
monostromatic  thalli,  ranged  from  intact,  but  flaccid 
and  blanched,  to  disintegrating.  Ingested  S.  naidum 
often  were  attached  to  pieces  oiZostera  marina  or 
Phyllospadix  torreyi,  but  these  seagrasses  never 
evidenced  digestion.  Nor  did  other  plant  forms  pres- 
ent among  the  gut  contents  appear  to  be  digested, 
including  D.  ligulata  and  A^.  leutkeana  (vegetative 
tissue),  along  with  various  unidentified  phaeophytes 
and  rhodophytes.  Thus,  plants  contributed  less  food 
than  is  indicated  by  the  tables  and  histograms, 
where  their  rank  is  inflated  by  undigested  materials. 

Zooplankters  taken  during  upwelling  episodes  dif- 
fered from  early  to  late  in  the  season,  whereas  those 


taken  during  downwelling  episodes  remained  much 
the  same  throughout  (as  listed  in  Table  3).  Thus,  of 
the  food  categories  listed  for  the  upwelling  condi- 
tion (Table  2),  pelagic  hydrozoans,  mysids,  and 
scyphozoans  were  taken  only  during  the  spring, 
whereas  euphausiids  and  caprellids  were  taken  only 
in  summer.  The  only  notable  departure  from  the 
downwelling  condition  depicted  in  Table  3  occurred 
on  24  April  1979  (Table  1),  when  conditions  were 
at  the  time  judged  to  be  mixed.  Upwelling  had  been 
unusually  weak  during  the  first  month  of  that  up- 
welling season,  and  there  was  no  wind  at  the  time 
of  sampling.  The  sea  was  calm  and,  at  10°C,  warm 
for  April.  Although  these  conditions  usually  indicate 
downwelling  (which  is  why  the  data  are  assigned  to 
that  category),  we  neither  collected  nor  saw  organ- 
isms typical  of  downwelHng  conditions.  Further- 
more, of  the  nine  adult  S.  mystinus  (224-313,  x 
=  277.7  mm  SL)  collected,  eight  (89%)  were  empty. 
The  ninth  contained  one  sorus  from  A'^.  leutkeana 
(an  unusually  large  number  of  A'',  leutkeana  had  per- 
sisted through  the  previous  winter,  which  had  been 
exceptionally  mild)  and  also  organisms  not  seen  or 
collected  by  us  in  the  environment  at  the  time:  two 
Corolla  spectabilis  (a  pelagic  gastropod  typical  of 
downwelling  conditions)  and  six  Velella  velella  (a 
pelagic  hydrozoan  typical  of  upwelling  conditions). 
The  latter  float  on  the  water's  surface  (Fig.  8),  and 
often  we  saw  adult  S.  mystinus  break  the  surface 
to  feed  on  them. 

The  Downw^elllng  Season 

Between  late  August  and  mid-September  it 
became  evident  that  transition  to  the  downwelling 
season  was  under  way.  Winds  had  become  light  and 
variable  (but  generally  remained  either  northerly  or 
southerly),  and  for  a  growing  number  of  days  at  a 
time,  the  water  was  notably  blue  and  transparent. 
Records  of  sea  temperatures  and  wind  for  the 
1980-81  downwelling  season  illustrate  how  occur- 
rences of  downwelling  and  upwelling  related  to 
prevailing  wind  during  that  period  (Fig.  9). 

Habitat  Conditions 

The  downwelling  season  developed  with  less  wind 
from  the  north  and  more  wind  from  the  south,  but 
either  way  with  winds  that  tended  to  be  light,  so 
that  relatively  tranquil  conditions  prevailed.  Flow- 
ing into  the  nearshore  habitat  with  offshore  surface 
waters  was  a  rich  supply  of  relatively  large,  mostly 
gelatinous  zooplankters  that  were  major  prey  of  5. 


727 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


Figure  7.— Sections  through  surface  region  of  sori  (stained  with  hematoxylin)  from  gut  of  Sebastes  mystinus.  Upper  section  is  from 
the  stomach,  lower  is  from  the  intestine.  Granular  objects  in  upper  section  but  largely  absent  in  lower  section  are  zoospores  in  zoosporangia. 


mystinus.  But,  whereas  the  predominant  of  such 
forms  during  spring  and  summer  usually  were  thali- 
aceans,  during  the  fall  they  were  usually  cteno- 
phores  (Fig.  10),  pelagic  hydrozoans— mostly  sipho- 
nophores  (Fig.  11),  and  hydromedusae.  The  pelagic 
hydrozoan  Velella  velella,  which  had  been  prominent 
during  the  upwelling  season,  was  not  seen.  Pelagic 
gastropods  (Fig.  12),  pteropods  at  least,  also  were 
more  abundant  during  fall  downwelling.  On  the 
other  hand,  these  waters  were  poor  in  the  pelagic 
diatoms  that  had  bloomed  periodically  during  spring 
and  summer.  Furthermore,  the  nearshore  habitat 
had  by  this  time  lost  much  of  its  benthos.  Many  of 
the  more  insecurely  anchored  Nereocystis  plants,  for 
example,  had  been  carried  away  by  strong  wave 
surge  that  frequently  swept  through  the  nearshore 
habitat  even  during  relatively  tranquil  periods.  Al- 


though the  loss  of  these  plants  greatly  increased 
interplant  distances,  Nereocystis  beds  remained 
dominant  features.  This  was  because  the  plants  still 
in  place  continued  to  grow,  to  produce  sori,  and  to 
thicken  the  surface  canopy.  Probably  at  least  partly 
because  the  canopy's  increased  thickness  blocked 
sunlight  from  the  seafloor  below,  the  algal  under- 
story,  Desmarestia  lingulata  in  particular,  was 
greatly  reduced.  Similarly,  many  benthic  animals 
that  proliferated  during  the  previous  upwelling 
season  had  become  scarce,  including  the  amphipods 
and  mysids  noted  above  to  be  declining  during  late 
summer. 

As  the  downwelling  season  progressed  through 
fall  toward  winter,  there  were  major  transforma- 
tions of  the  nearshore  habitat  that,  to  at  least  some 
extent,  resulted  from  southwesterly  storms.  The 


728 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


Figure  8.—Velella  velella  being  driven  shoreward  by  a  northwest  wind  off  the  coast  of  northern  California. 


major  effects  of  storms  on  the  nearshore  habitats 
came  from  1)  physical  force  of  waves  and  surge, 
and  2)  suspended  sediments  carried  by  coastal 
runoff  into  the  nearshore  habitats  after  heavy  rains. 
The  first  of  these  was  the  more  apparent,  at  least 
in  exposed  locations  where  often  many  of  the  ben- 
thic  algae  and  sessile  invertebrates  were  swept 
away.  This  force,  intensified  when  the  water  car- 
ried abrasive  sediments,  swept  away  most  of  the 
Nereocystis,  although  some  plants  survived  the 
winter  in  sheltered  places  where  they  continued  to 
produce  sori.  Suspended  sediments  had  their  most 
obvious  effects  in  locations  sheltered  from  water 
movement,  where  they  frequently  settled  to  blanket 
the  benthos.  Probably  a  more  profound  effect  of 
materials  in  suspension,  however,  was  reduced 
transparency  of  the  water  that  limited  the  amount 
of  light  (already  at  low  levels  owing  to  the  shorter 


days  and  low  sun  angle)  reaching  phototrophic 
organisms. 

As  a  general  result  of  these,  and  probably  other 
forces  in  combination,  the  nearshore  habitat  ap- 
peared relatively  barren  during  the  latter  stages  of 
the  downwelling  season.  That  storms  were  a  major 
factor  in  reducing  the  vitality  of  this  habitat  was  ap- 
parent during  the  relatively  mild  winter  of  1978-79, 
when  the  effects  described  above  were  reduced. 
That  was  the  only  year,  for  example,  when  mysids 
were  noted  to  be  conspicuous  in  the  nearshore 
habitat  throughout  the  winter. 

Feeding  Conditions 

The  diet  of  S.  mystinus  relative  to  foods  available 
during  the  downwelling  season  was  assessed  dur- 
ing 10  days  of  sampling  under  downwelling  condi- 


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FISHERY  BULLETIN:  VOL.  86,  NO.  4 


ui 

X 

a: 
o 


20 
15 

10 


c 


Z 


5 
0 
5 


a: 

UJ 


o 

(/5 


EVENT 


o 

UJ 

UJ 
Q. 

UJ 


10 
15 
20 


13       -1 


12       - 


11      - 


10      - 


9      - 


8 


i  kkkk     A  A 

10  U12.13.14       15  16 

T  fTTT     TT 

A, 


A 

17 

T 


AUG 


SEPT 


OCT 


NOV 


DEC 


JAN 


FEB 


26 
MAR 


Figure  9.— Sea  temperatures  and  wind  off  Mendocino  during  the  1980-81  downwelling  season, 
methods  used  in  obtaining  and  plotting  the  data. 


See  capture  of  Figure  4  and  text  for 


Event  1— Sea  temperature  fell  to  8.5°C  on  16  August  after  9  consecutive  days  of  7-10  K  northerlies,  producing  the  last  episode  of 
strong  upwelling  during  the  1980  upwelling  season. 

Event  2— Sea  temperature  rose  to  10.4°C  on  26  August  after  southerlies  of  5-12  K  on  9  of  the  preceding  11  days.  Then  began  a  6-wk 
transition  to  the  downwelling  season,  during  which  1-4  day  periods  of  2-10  K  northerlies,  with  slightly  lowered  sea  temperatures,  alter- 
nated with  1-4  day  periods  of  southerlies,  with  slightly  elevated  temperatures. 

Event  3— The  last  bit  of  upwelling  before  the  season's  first  major  downwelling  episode  began  on  1 4  October  with  7  consecutive  days 
of  northerlies— 20  K  during  the  first  2,  4-8  K  during  the  next  5. 

Event  4— Sea  temperatures  rose  to  11.2°C  on  7  November  after  16  straight  days  of  2-12  K  southerlies  or  weak  (2-5  K)  northerlies. 
Event  5— Sea  temperatures  fell  to  9.7°C  during  a  major  cooling  that  coincided  with  8  days  of  3-9  K  northerlies  (with  gusts  to  20  K) 
from  8  to  15  November. 

Event  6— On  21  November  the  wind  shifted  to  the  south,  with  gusts  to  20K,  and  sea  temperatures  began  rising. 
Event  7— A  3-day  storm  (1-3  December)  with  20-30  K  southerlies  (and  rain)  briefly  accelerated  the  rise  in  temperature. 
Event  8— The  warming  trend  was  briefly  interrupted  by  several  1-3  day  periods  of  4-10  K  northerlies. 

Event  9— By  22  December  sea  temperatures  had  risen  to  levels  above  12°C  that  characterized  the  1980-81  dowmwelling  season.  Although 
southerlies  predominated  over  the  next  3  weeks,  on  some  days  reaching  25  K  (e.g.,  on  25  December),  there  were  no  further  large  in- 
creases in  temperature. 

Event  10— Sea  temperatures  anomalously  fell  during  the  first  2  weeks  of  January,  even  though  winds  during  that  period  were  mostly 
southerlies  of  up  to  10  K. 

Event  11— An  8-day  storm  (15-22  January)  with  12-20  K  southerlies  (and  rain)  resulted  in  sea  temperatures  rising  to  12.7°C— the  warmest 
of  the  year  (equaled  3  weeks  later). 


730 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


Figure  10.— Ctenophores  off  Mendocino.  Beroe  forskali  (left),  missing  piece  probably  taken  by  planktivore,  and  Pleurobrachia  hachei 

(right).    Scale  indicator  =  1  cm. 


Event  12— The  process  abruptly  reversed  with  a  shift  to  northerlies  that  gusted  to  30  K  for  2  days,  and  sea  temperature  fell  to  11.5°C 
on  25  January. 

Event  13— In  another  abrupt  reversal,  3  days  (27-29  Januarj')  of  15-25  K  southerlies  (with  rain)  resulted  in  sea  temperature  rising  to  12°C. 

Event  14— Reversing  again,  northerlies  of  12-20  K  on  30-31  January  drove  sea  temperatures  down  to  10.5°C,  at  which  point  (1  February) 
the  thermograph  malfunctioned.  Southerlies  predominated  while  the  thermograph  was  inoperative,  and  when  it  was  reinstalled  on  11 
February,  rising  sea  temperature  2  days  later  (13  February)  equaled  the  season  high  of  12.5°C.  But  when  northerlies  returned  the  next 
day  the  downwelling  season  began  its  decline. 

Event  15— Two  days  of  20-25  K  northerlies  (19-20  February)  resulted  in  the  season's  largest  24-h  change  in  sea  temperatures. 

Event  16— Sea  temperature  rose  to  11.5°C  on  3  March  following  8  consecutive  days  of  8-15  K  southerlies  (with  rain),  or  weak  north- 
erlies (to  6  K).  An  abrupt  shift  followed,  as  2  days  of  15-25  K  northerlies  (4-5  March)  resulted  in  the  season's  second  largest  24-h  change 
in  sea  temperature— the  first  time  since  November  that  sea  temperature  had  fallen  below  10°C. 

Event  17— After  a  week  of  light  variable  winds,  during  which  sea  temperatures  remained  essentially  unchanged  at  about  9.8°C,  southerlies 
increased  to  15-20  K  (on  15  March)  and  sea  temperatures  began  rising  to  begin  the  final  downwelling  episode  of  the  1980-81  down- 
welling  season  (which  was  followed  by  the  abrupt  reversal  that  marked  the  beginning  of  the  1981  upwelling  season,  see  Figure  4). 


731 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


Figure  11.— Siphonophores  off  Mendocino.  The  physonect  Stephanomia  bijuga  (left),  and  the  calycophore  Praya  dubia  (right). 

indicator  =  1  cm. 


Scale 


tions,  but  because  fall  and  winter  were  so  different, 
we  consider  them  separately.  We  did  not  observe 
upwelling  conditions  during  this  period. 

The  major  foods  during  six  days  of  fall  downwell- 
ing,  based  on  the  ranking  indices  (Table  4),  were 
pelagic  hydrozoans,  specifically  siphonophores,  but 
vegetation  comprised  a  larger  part  of  the  total  diet 
volume.  Virtually  all  plant  materials  taken  at  these 
times,  however,  were  sori  of  A'',  leutkeana.  As  was 
true  during  the  upwelling  season,  there  tended  to 
be  more  vegetation  in  the  diet  when  there  were 
fewer  of  the  larger  gelatinous  zooplankters  in  the 
water  column.  For  example,  during  the  sampling 
session  of  18  October  1978  (Table  1),  when  the  sur- 
face plankton-collections  took  400  siphonophores 
and  ctenophores,  only  1  of  the  9  fish  collected  had 
consumed  plant  material  (one  sorus  ofN.  leutkeana). 
On  the  other  hand,  during  the  sampling  session  of 


16  October  1979  (Table  1),  when  the  surface  plank- 
ton-collection took  only  30  siphonophores  and  cteno- 
phores, 10  of  13  fish  collected  had  consumed  vege- 
tation (x  diet  volume  =  80%,  virtually  all  of  it 
sori  of  A^.  leutkeana;  number  taken  =  1-21,  x  = 
9.0),  and  two  others  were  empty. 

Our  assessment  of  the  diet  and  concurrent  com- 
position of  the  plankton  during  winter  downwelling 
is  limited  to  four  days  of  sampling  (Table  5).  Data 
from  these  collections  are  combined  for  consistency 


Figure  12.— Pelagic  gastropods  off  Mendocino.  The  heteropod 
Caranaria  japonica  (upper),  and  the  pteropod  Corolla  spectabilix 
(lower).  Scale  indicator  =  1  cm.  Often  in  areas  where  blue  rockfish 
are  feeding  many  of  the  C.  spectabilis  present  have  lost  the  bulbous 
central  part  of  their  body  (pseudoconch  and  viscera). 


732 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


733 


FISIIKKY  Hl'LLKTIN:  VOL.  86,  NO.  4 

Table  4. — Food  of  adult  Sebastes  mystinus  relative  to  near-surface  plankton  during  downwelling  episodes  of  fall. 

n  =  6. 


Food  organism 

In  diet 

In  plankton 

Size 
(mm) 

O/n 

y  o/n 

J^i7P 

o/n 

xo/o 
vol. 

Rank 

Taxa  (rank  index) 

occur. 

X  no. 

vol. 

(mm) 

/u 

occur. 

X  no.^ 

1 

PELAGIC  HYDROZOA  (10455.98) 
Hydromedusae 

2-15 

46 

18.04 

12.5 

1-25 

83 

1747.12 

26.5 

Eutonina  indicans 

18 

1 

0.03 

<0.1 

18-25 

33 

1516.81 

14.7 

Others 

15 

4 

0.02 

<0.1 

<1-20 

33 

26.10 

0.2 

Sypfionophiora 

Muggiaea  atlantica 

6-15 

10 

0.34 

0.7 

5-12 

67 

15.83 

2.0 

Stephanomia  bijuga 

10 

17 

1.33 

0.8 

10 

17 

2.39 

0.3 

Otfiers 

2-15 

31 

16.32 

10.9 

1-8 

4 

185.99 

9.3 

Cfiondropfiora 

Velella  velella^ 

— 

0 

0.00 

0.0 

NA^ 

NA 

NA 

NR 

2 

PLANTS  (4123.00) 

NR^ 

54 

2.06 

37.1 

NR 

NR 

NR 

NR 

Nereocystis  sori 

NR 

51 

1.94 

35.6 

NR 

NR 

NR 

NR 

Porphyra  sp. 

NR 

2 

NR 

0.2 

NR 

NR 

NR 

NR 

Smithora  naidum 

NR 

6 

0.06 

<0.1 

NR 

NR 

NR 

NR 

Others 

NR 

6 

0.06 

1.3 

NR 

NR 

NR 

NR 

3 

CTENOPHORA  (1742.66) 

3-15 

33 

5.74 

9.2 

<1-10 

0.67 

295.79 

5.4 

Pleurobrachia  bachei 

3-15 

31 

5.73 

9.2 

<1-10 

50 

288.59 

5.2 

Others 

12 

1 

0.01 

<0.1 

3 

17 

7.20 

0.2 

4 

PELAGIC  GASTROPODA  (554.00) 
Heteropoda 

2-160 

25 

3.20 

6.8 

<1-45 

100 

187.82 

8.4 

Caranaria  japonica 

12-160 

15 

0.33 

2.1 

30-45 

17 

1.21 

0.7 

Pteropoda 

Corolla  spectabilis 

5-22 

16 

2.69 

4.7 

2-20 

50 

72.90 

7.5 

LImacina  helicina 

2 

1 

0.18 

<0.1 

1-3 

17 

109.80 

0.2 

Others 

— 

0 

0.00 

0.0 

<1-3 

17 

3.91 

<0.1 

5 

SCYPHOZOA  (89.96) 

10-35 

18 

0.51 

9.8 

NA 

NA 

NA 

NA 

Fragments 

10-35 

18 

0.51 

9.8 

NA 

NA 

NA 

NA 

6 

THALIACEA  (31.97) 

5-29 

16 

0.54 

3.7 

2-5 

17 

3.01 

NR 

Undetermined  species 

5-29 

16 

0.54 

3.7 

2-5 

17 

3.01 

NR 

7 

EUPHAUSIACEA  (22.93) 

4-10 

21 

0.78 

1.4 

<1-9 

67 

162.90 

2.2 

Larvae 

4 

1 

0.01 

<0.1 

4 

50 

129.01 

1.2 

Thysanoessa  spp. 

4-10 

19 

0.74 

1.4 

5-9 

33 

33.89 

1.0 

Others 

8 

1 

0.03 

<0.1 

— 

0 

0.00 

0.0 

with  the  other  tables  and  figures,  but  the  combina- 
tions obscure  the  great  variation  in  feeding  condi- 
tions at  this  time  of  year.  For  example,  taxa  of  the 
major  food  categories  listed  in  Table  5  were  numer- 
ous in  the  diet  and  plankton  only  during  the  two 
sampling  sessions  in  February  and  March  of  1979. 
Of  the  14  fish  collected  at  those  times,  all  but  one 
was  well  fed  (x  no.  prey  =  26.7),  with  the  excep- 
tion being  a  pregnant  female  whose  gut  was  empty. 
Thaliaceans  dominated  on  these  occasions,  both  in 
the  diet  and  in  the  plankton,  and  hyperiid  amphi- 
pods,  Vihilia  spp.  (which  are  parasites  of  thaliaceans 
(Laval  1980)),  were  similarly  abundant.  In  contrast, 
the  collecting  session  of  January  1980  indicated 
there  were  more  zooplankters  in  the  water  column, 
but  that  they  were  exceptionally  small.  The  plank- 
ton collection  took  1,488  zooplankters  (compared 


with  109  and  715  in  the  two  1979  collections),  but 
only  2%  were  of  species  that  occurred  as  large  as 
2  mm  (compared  with  86%  in  1979).  That  these  small 
zooplankters  were  unsuitable  as  prey  of  adult  S. 
mystinus  is  implicit  in  the  fact  that  of  16  fish  col- 
lected, only  3  contained  food— all  of  it  the  alga  Por- 
phyra sp.  (The  other  13  represented  76%  of  all  fish 
with  empty  guts  in  the  winter  collections.)  Signif- 
icantly, of  the  taxa  identified  as  food  of  adult 
S.  mystinus  during  the  winter  (Table  5),  only  one, 
the  calanoid  Calanus  pacificus,  was  represented  in 
the  January  1980  plankton  collection.  Conditions 
were  intermediate  during  the  sampling  session  of 
January  1981,  when  some  of  the  Usted  food  taxa 
occurred  in  both  diet  and  plankton  (though  in 
reduced  numbers)  and  five  of  eight  fish  sampled  con- 
tained food. 


734 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


Table  a.— Continued. 


In  diet 

t 

In  plankton 

Food  organism 

—               Qi70 

% 
occur. 

x% 
vol. 

Size 
(mm) 

% 
occur. 

X  % 
vol. 

Ranl<                 Taxa  (rank  index) 

(mm) 

X  no. 

X  no.^ 

8         CALANOIDA  (14.32) 

2-7 

22 

0.93 

0.7 

<1-7 

100 

9528.11 

28.3 

Nauplii 

— 

0 

0.00 

0.0 

<1-1 

33 

68.99 

<0.1 

Acartia  spp. 

— 

0 

0.00 

0.0 

<1-1 

83 

1751.42 

4.3 

Calanus  pacificus 

3 

6 

0.13 

<0.1 

<1-4 

83 

4609.21 

15.8 

Eucalanus  californlcus 

4-7 

15 

0.67 

0.7 

2-7 

100 

255.39 

1.2 

Rhincalanus  nasutus 

4 

4 

0.06 

<0.1 

— 

0 

0.00 

0.0 

Others" 

2-3 

3 

0.07 

<0.1 

<1-3 

100 

2843.10 

7.0 

9         HYPERIIDEA  (8.28) 

1-8 

24 

1.15 

0.4 

1-7 

83 

292.19 

0.4 

Hyperoche  medusarum 

2 

3 

0.16 

0.1 

1-7 

50 

273.01 

0.2 

Vibilia  spp. 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Others 

1-8 

21 

0.99 

0.3 

1-3 

33 

19.18 

0.2 

10         POLYCHAETA  (3.20) 

4-40 

16 

0.40 

0.5 

<1-7 

83 

118.21 

1.7 

Larvae 

— 

0 

0.00 

0.0 

<1-4 

33 

103.81 

1.5 

Postlarvae 

4-40 

16 

0.40 

0.5 

3-7 

50 

14.40 

0.2 

OTHER  CATEGORIES 

Molluscan  lan/ae 

— 

0 

0.00 

0.0 

«1-<1 

50 

189.59 

0.7 

Cladocera 

— 

0 

0.00 

0.0 

<1-1 

33 

142.20 

0.8 

Cyclopoida 

NR 

1 

0.01 

NR 

<1-1 

67 

648.00 

4.0 

Clrripedean  larvae 

— 

0 

0.00 

0.0 

«1-<1 

67 

128.70 

0.2 

Reptantian  larvae 

— 

0 

0.00 

0.0 

<1-6 

83 

52.20 

0.3 

Natantian  larvae 

— 

0 

0.00 

0.0 

1-5 

33 

237.60 

NR 

Bryozoan  larvae 

— 

0 

0.00 

0.0 

<1 

33 

244.49 

0.2 

Larvacea 

2 

3 

0.12 

0.1 

<1-4 

67 

844.20 

2.8 

Chaetognatha 

10-11 

3 

0.06 

0.2 

5-20 

83 

225.59 

5.0 

Eggs,  undetermined 

— 

0 

0.00 

0.0 

<1 

17 

1535.99 

4.3 

Eggs,  fish 

3 

1 

0.01 

<0.1 

<1-2 

33 

40.19 

4.4 

Fishes 

6-24 

4 

0.04 

0.2 

4-20 

33 

5.40 

0.7 

UNIDENTIFIABLE  MATERIAL^ 

— 

— 

— 

17.4 

— 

— 

— 

— 

No.  fish  examined:  73 

No.  plankton  colled 

:ions:  6 

218-350,  X  =  290.3  mm  SL 

X 

no.  zooplankters: 

9663.0 

No.  empty  =  7 

X  no.  prey:  individuals  =  32.4 

taxa  =  3.6 

'Value  Is  estimated  mean  number  per  100  m^  of  water,  based  on  water  filtered  (54.8  m^)  during  the  5-min  collection. 
^Velella  velella  floats  on  the  water's  surface,  where  it  was  not  effectively  sampled  by  our  net. 
^NR  =  not  recorded.  The  enumeration  was  either  omitted  or  unfeasible. 

■■Many  of  the  calanoids  from  the  plankton  included  in  this  category  were  juveniles  and  other  undetermined  stages  of  the  species 
distinguished  above   Most  were  at  the  lower  end  of  the  size  range  indicated. 
^Digested  beyond  recognition. 


DISCUSSION 

It  is  clear  that  wind-driven  movement  of  the  sur- 
face water  profoundly  influences  feeding  by  Sebastes 
mystinus  off  northern  California.  Water  set  in 
motion  by  the  wind  can  be  tens  of  meters  deep 
(Bakun  1973;  Barber  and  Smith  1981),  and  so  carries 
most  of  the  foods  of  nearshore  planktivores.  The 
movement  is  seaward  (with  upwelling)  under  north- 
erly winds  and  shoreward  (with  downwelling)  under 
southerly  winds.  Thus,  with  winds  along  the  Men- 
docino coast  being  northerly  or  southerly  about 
80%  of  the  time  (based  on  records  of  the  NOAA 
weather  station  there),  adult  S.  mystinus  in  that 
area  alternate  between  periods  when  planktonic 
foods  are  being  carried  into  their  habitat  and  pe- 


riods when  these  foods  are  being  carried  away. 

This  perception  of  alternations  between  upwell- 
ing and  downwelling  is  simplified,  perhaps  overly 
so,  to  emphasize  features  we  consider  essential  to 
the  feeding  of  S.  mystinus,  and  also  because  details 
of  what  clearly  is  a  complex  oceanographic  system 
remain  unclear.  In  particular,  we  stress  the  impor- 
tance of  shoreward  surface  transport  in  carrying 
prey  to  S.  mystinus  in  nearshore  habitats.  The  major 
prey  of  adult  5.  m^s^iwws— thaliaceans,  pelagic 
hydrozoans,  and  other  relatively  large,  gelatinous 
zooplankters— tend  to  be  concentrated  in  areas  of 
oceanic  convergence,  and  dispersed  in  areas  of 
oceanic  divergence  (e.g.,  Bakun  and  Parrish  1980). 
Thus,  when  offshore  surface  waters  converge  on  the 
coast,  the  planktonic  foods  of  S.  mystinus  become 
concentrated  near  shore. 


735 


FISllKKV  HILLKTIN;  VOL.  86,  NO.  4 


Table  5.— Food  of  adult  Sebastes  mystinus  relative  to  near-surface  plankton  during  downwelling  episodes  of  winter. 

n  =  4. 


Food  organism 

In 

diet 

In  plan 

ikton 

*^i7P 

O/n 

X  % 

'^i7P 

O/n 

k-   0/n 

Rank 

Taxa  (rank  index) 

(mm) 

/u 

occur. 

X  no. 

vol. 

(mm) 

/u 

occur. 

X  no.' 

A       /U 

vol. 

1 

THALIACEA  (29034.03) 

7-20 

71 

12.90 

31.7 

5-45 

50 

9.90 

34.8 

Undetermined  species 

7-20 

71 

12.90 

31.7 

5-45 

50 

9.90 

348 

2 

HYPERIIDEA  (3278.81) 

1-5 

62 

23.40 

2.2 

1-6 

75 

2.25 

0.8 

Hyperoche  medusarum 

— 

0 

0.00 

0.0 

4 

25 

0.45 

NR3 

Vibilia  spp. 

1-5 

57 

23.06 

2.1 

5-6 

25 

0.90 

0.8 

Others 

6 

5 

0.34 

0.1 

1 

25 

0.90 

NR 

3 

EUPHAUSIACEA  (1567.61) 

6-12 

43 

11.76 

3.1 

10 

75 

2.25 

12.5 

Larvae 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Thysanoessa  spp. 

6-12 

38 

11.67 

3.1 

10 

75 

2.25 

12.5 

Others 

6 

5 

0.09 

<0.1 

— 

0 

0.00 

0.0 

4 

SCYPHOZOA  (1054.20) 

NR 

38 

1.43 

19.4 

NR 

NR 

NR 

NR 

Fragments^ 

NR 

38 

1.43 

19.4 

NR 

NR 

NR 

NR 

5 

PELAGIC  GASTROPODA  (726.34) 
Heteropoda 

6-30 

48 

2.91 

5.2 

1-20 

25 

8.10 

0.8 

Caranaha  japonica 

15-30 

10 

0.24 

0.5 

— 

0 

0.00 

0.0 

Pteropoda 

Corolla  spectabilis 

6-20 

48 

2.67 

4.7 

20 

25 

0.45 

0.8 

Limacina  helicina 

— 

0 

0.00 

0.0 

1-2 

25 

7.65 

NR 

Others 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

6 

PELAGIC  HYDROZOA  (437.91) 
Hydromedusae 

3-13 

43 

1.52 

6.7 

1-6 

75 

14.85 

1.3 

Eutonina  indicans 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Others 

10-22 

40 

0.33 

3.5 

1-4 

50 

12.60 

0.5 

Syphonophora 

Muggiaea  atlantica 

8-13 

38 

0.86 

2.1 

6 

50 

1.35 

0.8 

Stephanomia  bijuga 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Others 

3-20 

19 

0.33 

1.1 

3 

25 

0.90 

NR 

Chondrophora 

Velella  velella 

— 

0 

0.00 

0.0 

NA' 

NA 

NA 

NA 

7 

PLANTS  (380.00) 

NR 

38 

NR 

10.0 

NR 

NR 

NR 

NR 

Nereocystis  sori 

NR 

5 

0  10 

0.1 

NR 

NR 

NR 

NR 

Porphyra  sp. 

NR 

19 

NR 

5.2 

NR 

NR 

NR 

NR 

Smithora  naidum 

— 

0 

0.00 

0.0 

NR 

NR 

NR 

NR 

Others 

NR 

19 

NR 

4.7 

NR 

NR 

NR 

NR 

Shoreward  transport  can  be  either  wind-driven 
(Ekman  transport),  or  result  simply  from  relaxation 
of  the  forces  that  drive  up  welling.  But  in  either  case 
our  observations  indicate  that  shoreward  flowing 
surface  waters  override  the  colder  waters  near 
shore,  a  process  we  refer  to  as  downwelling.  Usually 
the  term  downwelling  is  limited  to  conditions  that 
result  from  shoreward  Ekman  transport  (e.g..  Gross 
1977),  but  we  have  found  that  relaxation  of  upwell- 
ing  has  essentially  the  same  effect  on  the  nearshore 
ecosystem,  the  difference  being  simply  in  degree  of 
effect. 

Some  studies  have  concluded  that  warming  of  the 
nearshore  surface  waters  during  relaxation  of  up- 
welling  results  from  alongshore  advection  (e.g., 
Send  et  al.  1987),  but  even  though  zooplankters 
entering  our  study  area  during  downwelling  gen- 


erally moved  southward  along  the  coast,  the  char- 
acteristic presence  of  such  forms  as  thaliaceans, 
ctenophores,  and  pteropods  indicate  that  the  advec- 
tion is  from  offshore.  So  despite  the  complexities 
of  circulation  and  mixing  that  occur  in  the  coastal 
waters  off  northern  California  (e.g.,  Winant  et  al. 
1987),  the  net  result  affecting  the  trophic  relations 
of  S.  mystinus  are  alternations  between  seaward 
and  shoreward  transport. 

These  water  movements  follow  a  strong  seasonal 
pattern  that  is  evident  in  upwelling  indices  for  lat. 
39°N  (which  crosses  Mendocino)  produced  by  the 
Pacific  Fisheries  Environmental  Group  of  the  South- 
west Fisheries  Center,  NMFS,  NOAA.  In  addition 
to  the  seasonal  trend,  short-term  episodes  of  sea- 
ward and  shoreward  transport  produce  day-to-day, 
even  hour-to-hour,  changes  in  the  foods  available  to 


736 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


Table  5.— Continued. 


In  diet 

In  plankton 

Food  organism 

Qi70 

% 

x% 

Size 

% 

X  % 

—          oize 

Rank                  Taxa  (rank  index) 

(mm) 

occur. 

X  no. 

VOL 

(mm) 

occur. 

X  no.' 

vol. 

8         CTENOPHORA  (4.73) 

11-20 

10 

0.43 

1.1 



0 

0.00 

0.0 

Plerobrachia  bachei 

11 

5 

0.09 

0.1 

— 

0 

0.00 

0.0 

Others 

20 

5 

0.34 

1.0 

— 

0 

0.00 

0.0 

9          MYSIDACEA  (4.47) 

6-20 

14 

0.29 

1.2 

3-8 

50 

1.80 

0.5 

Acanthomysis  sculpts 

6 

5 

0.19 

1.0 

— 

0 

0.00 

0.0 

Others 

18-20 

10 

0.10 

0.2 

3-8 

50 

1.80 

0.5 

10         CALANOIDA  (1.18) 

2-5 

14 

0.28 

0.3 

1-5 

100 

684.00 

25.6 

Nauplii 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Acartia  spp. 

— 

0 

0.00 

0.0 

<1-1 

25 

229.50 

7.5 

Calanus  pacificus 

2-3 

14 

0.14 

0.1 

1-3 

100 

110.70 

3.8 

Eucalanus  callfornicus 

5 

10 

0.14 

0.2 

3-5 

50 

12.60 

0.8 

Rhincalanus  nasutus 

— 

0 

0.00 

0.0 

— 

0 

0.00 

0.0 

Others 

— 

0 

0.00 

0.0 

1-2 

100 

331.20 

13.5 

OTHER  CATEGORIES 

Molluscan  larvae 

— 

0 

0.00 

0.0 

«1-<1 

50 

38.70 

2.5 

Cyclopoida 

— 

0 

0.00 

0.0 

1 

75 

61.20 

1.5 

Cirripedean  larvae 

— 

0 

0.00 

0.0 

1-2 

75 

24.75 

0.5 

Reptantian  larvae 

4 

<1 

0.05 

<0.1 

<1-3 

100 

240.30 

9.3 

Larvacea 

— 

0 

0.00 

0.0 

3-6 

50 

6.30 

1.3 

Chaetognatha 

— 

0 

0.00 

0.0 

5-35 

75 

14.85 

5.0 

Fishes 

8-10 

<1 

0.10 

NR 

3-7 

75 

7.65 

2.8 

UNIDENTIFIABLE  MATERIAL^ 

— 

— 

— 

19.1 

— 

— 

— 

— 

No.  fish  examined:  38 

No. 

plankton  collections:  4 

200-345,  X  =  265.3  mm  SL 

X  no.  zooplankters:  634.3 

No.  empty:  17 

X  no.  prey:  individuals  =  45.2 

taxa  =  4.8 

'Value  is  estimated  mean  number  per  100  m^  of  water,  based  on  water  filtered  (54.8  m^)  during  the  5-min  collection. 
^Adult  S.  mystmus  often  were  seen  feeding  on  large  individuals  of  Cyanea  capillata,  wfiicfi  were  avoided  by  us  during  plankton  col- 
lections because  they  would  have  made  collections  umanageable. 
3NR  =  not  recorded.  The  enumeration  was  either  omitted  or  unfeasible. 
'Velella  velella  floats  on  the  water's  surface,  where  it  was  not  effectively  sampled  by  our  net. 
^Digested  beyond  recognition. 


planktivorous  fishes.  The  following  discussion  con- 
siders how  the  diet  of  S.  mystinus,  summarized  in 
Figure  13,  is  influenced  by  these  alternations  in  sur- 
face transport  during  distinct  upwelling  and  down- 
welling  seasons. 

The  Upwelling  Season 

The  spring-summer  upwelling  season  produces  op- 
timal feeding  conditions  for  S.  mystinus.  During  this 
period  the  combined  effects  of  increased  nutrients 
(from  strong  upwelling)  and  increased  daylight  (from 
longer  days,  higher  sun-angle,  and  less  storm-pro- 
duced sediments  in  suspension)  result  in  growth  of 
diatom  populations  that  constitute  the  food-base  of 
the  zooplankton  community. 

Seaward  Ekman  transport  in  response  to  the 
season's  persistent  northerly  winds  carries  the  up- 
welled  nutrients  and  increasing  number  of  diatoms 
offshore,  where  the  response  of  zooplankters  can  be 


spectacular.  Consider,  for  example,  thaliaceans, 
which  are  a  major  prey  of  adult  S.  mystinus.  Re- 
cent study  has  shown  that  populations  of  Salpa 
fusiformis  (a  common  thaliacean  in  the  California 
Current)  normally  are  food-limited,  but  can  grow 
rapidly  when  diatoms  are  abundant  (Silver  1975). 
In  response  to  a  diatom  bloom,  Thalia  democratica 
(another  salp  common  in  the  California  Current),  can 
increase  in  size  by  up  to  10%/hour  and  in  numbers 
up  to  2.5  times/day,  the  highest  rate  recorded  for 
a  metazoan  animal  (Heron  1972a,  b). 

Zooplankters  thus  increased  in  size  and  number 
are  then  carried  to  S.  mystinus  near  shore  by  the 
shoreward  flow  that  develops  with  relaxation  of  up- 
welling, or,  more  forcefully,  with  shoreward  Ekman 
transport  under  southerly  winds.  It  remains  uncer- 
tain, however,  whether  the  numbers  of  zooplankters 
entering  the  Mendocino  nearshore  habitats  are  in 
fact  related  to  the  productivity  of  local  upwelling. 
Wickett  (1967)  concluded  that  zooplankton  abun- 


737 


% 

100 


75 


50 


a 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 

% 
lOOr 


75- 


diet 
volume 
% 
100 


50 


50 


25 


_^ 


r7777l 


IX   X   I 


._VZ1 


0 


o  if 


Percent 

stomachs 

empty 


.^  E 


75 


50 


25 


diet 
volume 


100 


75 


50 


25 


Rn:^^ 


^ 


Meon 
stomach 
fullness 


CO 

.yo 

O.  CO 

o 


u  c 
.■5  m 

Q.  3 


% 

TOO 


75- 


50 


25 


L_^_ 


0 


Percent 

stomochs 

empty 


o 


.^E 


Figure  13.— Seasonal  variations  in  the  diet  of  Sebastes  mystiniLs: 

a.  Diet  during  upwelling  episodes  of  the  upwelling  season,    n  =  51. 

b.  Diet  during  downwelling  episodes  of  the  upwelling  season,    n  =  85. 


738 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


75 


diet 
volume 
7. 
lOQ- 


75- 


50- 


25- 


% 
100 


75 


50 


25 


r^^r^ 


r^^ 


^^    V7\ 


o   tl 


-5 

Percent 

o  o 

stomachs 

i^"*- 

empty 

0,    D 

.■PE 


% 

lOOr 


75 


50 


oLE^a_ 


% 

100 


75 


50 


.^YZl 


25- 


0 


t  » 


o  t^ 


o  □ 

0)  o 


Percent 

stomachs 

empty 


Figure  13.— Coniiwzterf— Seasonal  variations  in  the  diet  of  Sebastes  mystinus : 

c.  Diet  during  fall  of  the  downwelling  season,    n  =  73. 

d.  Diet  during  winter  of  the  downwelling  season,    n  =  38. 


739 


FISHERY  BULLETIN:  VOL.  86.  NO.  4 


dances  off  California  depend  on  nutrients  from  the 
Gulf  of  Alaska,  and  Chelton  et  al.  (1982)  concluded 
not  only  that  phytoplankton  off  California  depend 
on  nutrients  from  higher  latitudes  but  also  that 
wind-forced  coastal  upwelling  is  relatively  unim- 
portant in  supplying  these  nutrients.  Despite  this 
uncertainty,  growth  in  thaliaceans  is  so  rapid  that 
it  would  seem  at  least  many  of  those  off  the  Men- 
docino coast  could  result  from  local  upwelling. 
Regardless  of  what  determines  the  growth  of  tha- 
liaceans in  this  region,  their  appearance  in  large 
numbers  next  to  the  beach  is  evidence  that  shore- 
ward transport  has  developed.  These  animals  are 
readily  detected  by  in  situ  observations,  and  also  by 
their  occurrences  in  samples  of  both  plankton  and 
gut  contents  (Table  3). 

Intermittent  shoreward  transport  during  the  up- 
welling season  seems  especially  strong  off  northern 
California.  This  is  evident  in  the  upwelling  indices 
of  Bakun  (1973),  and  also  in  that  fewer  thaliaceans 
get  inshore  at  this  time  of  year,  both  to  the  north, 
off  Oregon  (Hubbard  and  Pearcy  1971),  and  to  the 
south,  off  central  and  southern  California  (Black- 
burn 1975).  Thus,  it  is  clear  that  the  major  foods  of 
5.  mystinus  along  the  Mendocino  coast  are  most 
available  during  downwelling  episodes  of  the  upwell- 
ing season. 

Despite  the  increased  productivity  of  the  upwell- 
ing season,  S.  mystinus  experiences  relatively  poor 
feeding  conditions  during  that  season's  upwelling 
episodes.  Not  only  are  fewer  prey  taken  during 
upwelling  than  during  downwelling,  a  higher  pro- 
portion of  the  fish  have  empty  stomachs  (Fig.  13). 
This  is  because  the  shoreward  flow  that  transports 
zooplankters  from  offshore  during  downwelling  is 
replaced  by  the  seaward  flow  that  is  part  of  the 
upwelling  condition. 

There  is,  however,  one  relatively  large  gelatinous 
zooplankter  from  offshore  that  is  most  available  as 
prey  during  upwelling.  This  is  the  chondrophore 
Velella  velella,  a  pelagic  hydrozoan  known  as  "by- 
the- wind-sailor".  It  is,  in  fact,  entirely  because  of 
this  animal  that  the  food  category  "Pelagic  Hydro- 
zoa"  ranked  second  as  food  during  upwelling  epi- 
sodes (Table  2).  Because  V.  velella  floats  on  the 
water's  surface  and  is  equipped  with  a  sail-like  struc- 
ture (Fig.  8),  its  movements  are  determined  more 
by  wind  than  by  current.  The  species  includes  two 
forms  distinguished  by  whether  their  sails  are  ori- 
ented to  the  left  of  or  to  the  right  of  the  main  body 
axis.  This  orientation  determines  their  direction  in 
sailing  before  the  wind— left-handed  individuals  sail 
to  the  left  of  the  wind  direction  and  right-handed 


individuals  sail  to  the  right  (Bieri  1959).  Although 
it  has  been  reported  that  the  right-handed  form 
predominates  off  California  (Morris  et  al.  1980),  all 
those  we  examined  from  off  Mendocino  were  left- 
handed,  and  so  would  have  been  driven  shoreward 
by  the  northerly  winds  that  generated  upwelling. 

In  the  absence  of  favored  open-water  zooplank- 
ters, 5.  mystinus  increased  consumption  of  near- 
shore  hyperbenthic  zooplankton,  e.g.,  mysidaceans 
and  gammarideans  (Table  2).  But  fewer  of  these 
organisms  were  taken  than  might  be  expected, 
based  on  their  great  abundance  during  much  of  the 
upwelling  season.  Acanthomysis  sculpta,  the  mysid 
most  often  taken  as  prey,  typically  aggregates  in 
large  swarms  within  2  m  of  the  seafloor.  To  prey 
on  them,  adult  5.  mystinus  must  leave  the  upper 
levels  of  the  water  column  in  a  departure  from  their 
usual  feeding  mode  that  may  reduce  feeding  effec- 
tiveness. In  addition,  most  hyperbenthic  zooplank- 
ters probably  are  too  small  to  be  ready  prey  of  these 
fish.  Although  5-7  mm  mysids  (Table  2)  should  be 
large  enough,  most  other  taxa  are  less  than  2  mm. 
Organisms  as  small  as  1  mm  occur  in  the  diet,  in- 
cluding some  thought  to  be  strictly  benthonic,  e.g., 
smaller  of  the  gammaridean  Jassa  sp.  (which  also 
occurred  in  plankton  collections;  Table  2).  But  such 
forms  may  be  ingested  (and  taken  by  plankton 
nets)  while  attached  to  drifting  plant  fragments. 
Although  5.  mystinus  has  a  smaller  mouth  than 
most  of  its  congeners,  presumably  as  an  adaptation 
to  planktivory  (Hallacher  and  Roberts  1985),  the 
adults  appear  unable  to  consume  the  larvae  of  neritic 
species,  e.g.,  cirripedeans,  that,  with  maximum 
dimensions  of  1  mm  or  less,  often  are  the  most 
numerous  of  the  zooplankton  (Table  2).  These  lar- 
vae are  major  prey  of  juvenile  5.  mystinus  (unpubl. 
data;  Gaines  and  Roughgarden  1987),  which  further 
suggests  it  is  their  small  size  that  precludes  them 
as  prey  of  the  adult. 

Foods  most  often  consumed  in  the  absence  of  pre- 
ferred zooplankters,  however,  were  plant  materials. 
In  fact,  during  upwelling  episodes  more  plants  were 
consumed  than  anything  else  (Table  2),  and  even 
during  downwelling  plants  were  the  second-ranked 
food  category  (Table  3).  Although  these  rankings  are 
inflated  by  undigested  plant  tissues,  certain  algal 
materials  appear  to  be  important  foods.  The  avail- 
ability of  plant  foods  to  supplement  prey  shortages 
was  strongly  seasonal,  however.  Thus,  the  sharply 
reduced  availability  of  plants  during  winter  and 
early  spring  undoubtedly  contributed  to  the  preva- 
lence of  empty  stomachs  among  fish  collected  at 
those  times. 


740 


HOBSON  and  CHESS:  TROPHIC  RELATIONS  OF  THE  BLUE  ROCKFISH 


Although  a  wide  variety  of  plants  were  ingested, 
S.  mystinus  seemed  able  to  utilize  only  certain  algal 
tissues.  These  included  zoospores  of  Nereoeystis  leut- 
keana  and  the  two  epiphytes,  Porphyra  nereocystis 
and  Smithora  naidum.  Probably  this  is  because  as 
members  of  a  carnivorous  family  they  have  only 
limited  abilities  to  digest  plant  material. 

The  zoospores  of  A'',  leutkeana  are  especially  vul- 
nerable to  S.  mystinus  when  the  sori  have  dropped 
from  the  plants'  fronds,  because  at  this  time  the  sori 
have  lost  their  epidermis  (an  adaptation  of  the 
mature  sori  that  facilitates  release  of  the  zoospores 
(David  C.  Walker^)).  Zoospores  may  be  appropriate 
food  for  this  largely  carnivorous  fish  because  they 
are,  as  their  name  implies,  animal-like:  they  have 
cell  membranes  but  not  the  cellulosic  cell  walls 
(Wilson  1952)  that  preclude  plants  as  food  for  many 
fishes  (e.g.,  Lobel  1981).  The  other  algae  apparent- 
ly utilized— Porp%ra  nereocystis  and  Smithora 
naidum— may  be  appropriate  forage  for  a  fish  with 
limited  herbivorous  abilities  because  they  are  mono- 
stromatic  plants  only  25-60  fi  thick  (Abbott  and 
Hollenberg  1976).  So  while  Gotshall  et  al.  (1965) 
reported  that  algae  in  the  guts  of  S.  mystinus  gen- 
erally are  undigested,  some  forms  appear  to  be  im- 
portant foods. 

It  is  possible  that  plant  materials  are  among  items 
of  little  or  no  food  value  that  are  ingested  during 
food  shortages  simply  because  at  such  times  the 
adult  5.  mystinus  become  less  discriminating  in  their 
choice  of  drifting  objects.  On  the  other  hand,  it  is 
also  possible  that  these  fish  have  unusual  herbiv- 
orous abilities  as  a  result  of  adaptations  to  a  diet 
rich  in  thaliaceans,  which  are  among  the  few  animals 
with  cellulosic  tissues  (Berrill  1961).  This  second 
possibility  is  weakened,  however,  by  the  fact  that 
the  cellulosic  tunics  of  the  thaliaceans  appear  to  pass 
through  the  gut  undigested  (Gotshall  et  al.  1965;  our 
observations). 

The  Downwelling  Season 

As  the  downwelling  season  developed  in  the  fall, 
S.  mystinus  experienced  progressively  poorer  feed- 
ing conditions.  Offshore  water  flowing  into  the  near- 
shore  habitats  at  these  times  tended  to  be  poor  in 
phytoplankton  (hence  its  transparency  and  blueness, 
in  contrast  to  the  turbid  greenness  of  a  few  months 
before),  and  so  generally  lacked  the  herbivorous 


^David  C.  Walker,  Department  of  Botany,  University  of  British 
Columbia,  Vancouver,  British  Columbia  V6T  1W5,  Canada,  pers. 
commun.  10  May  1977. 


thaliaceans  that  were  major  prey  during  periods  of 
peak  feeding.  Relatively  large  gelatinous  zooplank- 
ters  continued  on  occasion  to  be  numerous  in  the 
shoreward  flow,  but  the  species  at  this  time  tended 
to  be  carnivores  rather  than  herbivores,  and  S. 
mystinus  did  not  feed  on  some  of  them.  For  exam- 
ple, while  siphonophores  made  "Pelagic  Hydrozoa" 
the  top-ranked  food  category  (Table  4),  the  most 
numerous  pelagic  hydrozoan  in  the  water  column, 
Eutonina  indicans,  went  virtually  untaken.  (The 
small  medusae  visible  throughout  Figure  1,  especial- 
ly against  the  dark  kelp,  are  of  this  species.)  On  the 
other  hand,  another  relatively  large,  gelatinous 
zooplankter,  the  ctenophore  Pleurobrachia  bachei 
(Fig.  10),  was  prominent  both  as  prey  and  in  the 
plankton.  Probably  the  presence  of  P.  bachei  ac- 
counted for  the  gut-content  occurrences  of  the 
hyperiid  Hyperoche  medusarum,  which  is  a  parasite 
of  this  ctenophore  (Brusca  1970). 

As  was  true  during  late  spring  and  summer,  cer- 
tain plant  materials  became  major  foods  during  the 
fall  when  favored  zooplankters  were  in  short  supply. 
But  unlike  late  spring  and  summer,  when  many 
different  plant  forms  were  taken,  virtually  the  only 
plant  materials  consumed  in  the  fall  were  the  sori 
of  N.  leutkeana.  This  reflected  a  decreasing  abun- 
dance of  other  plants  in  the  en\dronment  at  the  time. 
Nevertheless,  while  sporophytes  of  A'',  leutkeana 
were  fewer  in  fall  than  in  summer,  those  present 
were  larger,  more  mature,  and  produced  more  sori. 

Although  winter  produced  the  poorest  feeding 
conditions  of  the  year,  with  by  far  the  highest  in- 
cidence of  empty  stomachs  among  the  fish  exam- 
ined (Figure  13;  also  noted  by  Gotshall  et  al.  1965), 
occasionally  the  waters  flowing  into  the  nearshore 
habitats  were  rich  in  offshore  zooplankters,  in- 
cluding thaliaceans,  and  at  these  times  the  fish  fed 
well.  Our  sampling  of  the  highly  varied  winter  con- 
ditions was  not  frequent  enough  to  recognize  a  pat- 
tern, but  they  differed  from  fall  conditions.  In 
general,  the  distinctive  fall  and  winter  conditions 
off  Mendocino  matched  the  "oceanic"  and  "David- 
son Current"  oceanographic  seasons  defined  by 
Skogsberg  (1936)  and  Bolin  and  Abbott  (1962)  for 
Monterey  Bay. 

Ekman  Transport  and  the  Distribution 
of  Sebastes  mystinus 

Ekman  transport  may  be  important  to  the  distri- 
bution of  S.  mystinus.  This  is  implicit  in  our  finding 
that  alternations  between  seaward  and  shoreward 
surface  transport  produce  feeding  opportunities  for 


741 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


which  the  species  is  particularly  well  adapted.  Along 
the  west  coast  of  North  America,  these  alternations 
are  best  developed  off  northern  and  central  Califor- 
nia (Bakun  1973;  Bakun  et  al.  1974;  Mason  and 
Bakun  1985).  And  not  only  is  S.  mystinus  most 
numerous  off  this  same  section  of  the  coast,  it  is 
perhaps  the  dominant  fish  in  the  nearshore  habitat 
there  (Hallacher  and  Roberts  1985;  Bodkin  1984;  our 
observations).  Although  the  species  is  reported  from 
northern  Baja  California,  Mexico,  to  the  Bering  Sea 
(Miller  and  Lea  1972),  its  numbers  are  sharply 
reduced  northward  from  northern  California  (Alver- 
son  et  al.  1964;  Frey  1971;  Hart  1973)  and  south- 
ward from  central  California  (Hubbs  1948;  Lim- 
baugh  1955;  Quast  1968).  Although  undoubtedly 
other  factors  are  involved,  we  suggest  that  occur- 
rences of  S.  mystinus  in  these  northern  and  south- 
ern regions  are  limited  by  less  favorable  feeding 
conditions. 

ACKNOWLEDGMENTS 

Daniel  Howard  assisted  in  the  field  work  and 
performed  various  aspects  of  data  processing. 
Michael  Bowers  prepared  the  histological  sections 
represented  by  Figure  7,  and  Louis  Rouleau,  NOAA 
weather  observer  at  Mendocino,  provided  wind  data 
used  in  Figures  4  and  9.  For  constructive  criticism 
of  the  manuscript  we  thank  Andrew  Bakun,  John 
Hunter,  William  Pearcy,  and  Richard  Rosenblatt. 
Rahel  Fischer  typed  the  manuscript. 

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743 


THE  REPRODUCTIVE  BIOLOGY  OF  TILEFISH, 

LOPHOLATILUS  CHAMAELEONTICEPS  GOODE  AND  BEAN,  FROM 

THE  UNITED  STATES  MID-ATLANTIC  BIGHT,  AND 

THE  EFFECTS  OF  FISHING  ON  THE  BREEDING  SYSTEM 


Churchill  B.  Grimes/  Charles  F.  Idelberger,^  Kenneth  W.  Able,^ 

AND  Stephen  C.  Turner* 


ABSTRACT 

To  investigate  the  reproductive  biology  of  tilefish,  LopholatAlus  chamaeleonticeps  Goode  and  Bean,  we 
sampled  the  commercial  longline  fishery  from  1978  to  1982.  Results  suggested  that  tilefish  are  frac- 
tional spawners  from  March  to  November  with  a  spawning  peak  from  May  to  September.  Estimates 
of  fecundity  ranged  from  about  195  x  10^  to  10  x  10*^  (for  53  cm  FL,  2.1  kg  and  91  cm  FL,  13  kg 
females),  but  only  60-85%  of  the  ovarian  eggs  appeared  to  have  been  released  by  the  end  of  the  spawn- 
ing season. 

Tilefish  are  apparently  gonochoristic  however,  some  adult  males  had  slight  amounts  of  ovarian  tissue 
within  the  testicular  mass.  Sex  ratios  were  skewed  in  favor  of  males  at  larger  sizes;  however,  both  sexes 
were  present  at  most  ages.  All  juveniles  and  unsexed  fish  (<400  mm  FL)  appeared  to  be  female  (i.e., 
gonad  cell  structure  consisted  of  oogonia  and  previtellogenic  oocytes),  suggesting  that  some  tilefish  may 
undergo  prematurational  sex  reversal,  or  that  early  gonad  development  involves  an  all  female  appear- 
ing stage. 

Tilefish  may  have  a  complex  breeding  system  that  is  behaviorally  mediated.  Both  sexes  are  func- 
tionally mature  at  ca.  50  cm  FL  and  5  years,  but  some  males  appear  to  delay  participation  in  spawning 
for  2-3  years  and  10-15  cm  in  additional  length.  Tilefish  are  sexually  dimorphic,  with  males  attaining 
larger  sizes  and  developing  conspicuously  enlarged  predordal  adipose  flaps  (an  apparent  indicator  of  male 
breeding  status)  at  65-70  cm  FL  (6-7  years),  when  males  begin  to  participate  in  spawning  (i.e.,  develop 
large  testes),  not  when  they  are  functionally  mature  (i.e.,  producing  sperm). 

The  rapidly  expanding  fishery  from  1978  to  1982,  which  reduced  population  density  by  one-half  to 
two-thirds,  may  have  altered  the  breeding  system  by  causing  males  to  spawn  at  smaller  sizes  (10  cm) 
and  younger  ages  (2-2.5  years)  in  1982  than  in  1978. 


Tilefish,  Lopholatilus  chamaeleonticeps  (Branchio- 
stegidae),  is  a  demersal  gonochoristic  species  found 
along  the  outer  continental  shelf  from  Nova  Scotia 
south  to  Surinam  (Dooley  1978;  Markle  et  al.  1980). 
Within  the  Mid-Atlantic  Bight  (continental  shelf 
between  Cape  Cod,  MA  and  Cape  Hatteras,  NC), 
they  inhabit  a  narrow  zone  of  relatively  warm  tem- 
peratures (9°-14°C)  in  about  80-240  m  depths.  Fol- 
lowing a  brief  period  as  pelagic  larvae  (Fahay  and 
Berrien  1981;  Berrien  1982),  juveniles  settle  to  the 
bottom.  Adults  are  sexually  dimorphic,  males  hav- 
ing larger  adipose  flaps  ( =  predorsal  crest  of  Dooley 


'Southeast  Fisheries  Center  Panama  City  Laboratory,  National 
Marine  Fisheries  Service,  NOAA,  3500  Delwood  Beach  Road, 
Panama  City,  FL  32407. 

^Florida  Marine  Research  Institute,  100  8th  Ave.  S.E.,  St. 
Petersburg,  FL  33701. 

^Rutgers  University,  Marine  Field  Station,  Tuckerton,  NJ  08087. 

■•Southeast  Fisheries  Center  Miami  Laboratory,  National  Marine 
Fisheries  Service,  NOAA,  75  Virginia  Beach  Drive,  Miami,  FL 
33149. 


1978)  than  females  (Katz  et  al.  1983).  Growth  in  both 
sexes  is  about  10  cm  per  year  for  the  first  four  years, 
then  it  slows,  but  more  so  in  females  than  males 
(Turner  et  al.  1983).  Maximum  size  of  females  is 
about  100  cm  FL  and  112  cm  FL  in  males,  and  max- 
imum ages  are  35  and  26  years,  respectively  (Turner 
et  al.  1983). 

Both  juveniles  and  adults  select  sedimentary  sub- 
strata, and  seek  shelter  in  a  variety  of  habitats. 
Grossman  et  al.  (1985)  found  a  strong  correlation 
between  sediment  composition  and  tilefish  occur- 
rence. Juveniles  and  adults  occupy  highly  conta- 
geously  distributed  vertical  burrows,  the  primary 
habitat,  in  Pleistocene  clay  substrata  (Able  et  al. 
1982;  Grimes  et  al.  1986).  Adults  also  inhabit  hori- 
zontal excavations  in  more  vertically  oriented  clay 
sediments  of  submarine  canyon  walls  called  "pueblo 
habitats"  (Cooper  and  Uzmann  1977;  Warme  et  al. 
1977;  Grimes  et  al.  1986),  and  scour  depressions 
under  and  around  glacial  erratic  boulders  (Valen- 


Manuscript  accepted  April  1988. 

fishery  BULLETIN:  VOL.  86,  NO.  4,  1988. 


745 


FISHERY  BULLETIN:  VOL.  86.  NO.  4 


tine  et  al.  1980;  Grimes  et  al.  1986).  Several  crusta- 
ceans and  fishes  are  concentrated  in  and  near  tilefish 
excavations,  which  are  formed  by  the  combined 
activity  of  tilefish  and  their  associates  (Able  et  al. 
1982;  Grimes  et  al.  1986).  Several  associates  are  im- 
portant components  of  tilefish  diets,  suggesting 
close  trophic  linkages  within  the  burrow  community 
(Turner  and  Freeman  MS^;  Grimes  et  al.  1986). 
Limited  mark-recapture  data  suggests  that  tilefish 
are  sedentary  (Grimes  et  al.  1983).  Tilefish  and  their 
associates  have  definite  temporal  activity  patterns, 
and  male-female  pairing  may  occur  (Grimes  et  al. 
1986).  Habitat  preference,  contagious  distribution 
within  suitable  clay  substratum,  definitive  activity 
patterns,  limited  movement,  and  pair  bonding  pro- 
vide opportunities  for  social  interaction  and  organi- 
zation within  populations. 

Commercial  landings  of  the  Mid-Atlantic-southern 
New  England  tilefish  stock  (Katz  et  al.  1983)  have 
varied  widely  since  1916  when  4,500  metric  tons  (t) 
were  landed  in  10  months  (Freeman  and  Turner 
1977).  In  the  early  1970s  an  important  longline  fish- 
ery developed,  centered  in  New  York-New  Jersey, 
and  landings  increased.  This  fishery  became  one  of 
the  most  valuable  finfisheries  in  both  states  during 
most  years  since  1978  (Grimes  et  al.  1980;  U.S. 
Department  of  Commerce  1980a-c;  D.  J.  Christen- 
sen  pers.  commun.^).  From  1977  to  1980,  annual 
landings  were  2,061,  3,412,  3,840,  and  3,575  t,  but 
catches  declined  to  3,200  and  1,900  t  in  1981  and 
1982  (U.S.  Department  of  Commerce  1980a-c;  D.  J. 
Christensen  fn.  6).  Effects  of  fishing  on  the  stock 
have  been  drastic,  reducing  stock  size  by  one-half 
to  two-thirds  from  1978  to  1982  (Turner  1986). 

The  purpose  of  this  paper  is  to  describe  the  repro- 
ductive biology  of  tilefish  in  the  northern  stock,  and 
present  evidence  that  participation  in  spawning  by 
males  is  socially  mediated.  Furthermore,  we  show 
that  the  mating  system  has  been  modified  by  com- 
mercial fishing. 

MATERIALS  AND  METHODS 

Samples  of  tilefish  from  the  United  States  Mid- 
Atlantic-southern  New  England  area  were  obtained 
from  domestic  longline  and  New  Jersey  recreational 
(headboat^)  fisheries.  Information  gathered  for  each 


^Turner,  S.  C,  and  B.  L.  Freeman.  Food  habits  of  tilefish, 
Lopholatilus  chamaeleonticeps.  Unpubl.  manuscr.  Southeast 
Fish.  Cent.,  Natl.  Mar.  Fish.  Serv.,  NOAA,  Miami,  FL  07732. 

•^D.  J.  Christensen,  Northeast  Fisheries  Center  Sandy  Hook 
Laboratory,  National  Marine  Fisheries  Service,  NOAA,  Highlands, 
NJ  07732,  pers.  commun.  1983. 


sample  included  the  statistical  nature  of  the  sam- 
ple (random  or  nonrandom),  capture  method,  loca- 
tion (LORAN  C),  date,  and  length  (FL,  cm),  sex, 
weight  (whole  and  eviscerated),  and  height  (mm)  of 
the  adipose  flap  of  each  animal.  When  possible, 
gonads  were  excised,  weighed  (0.1  g)  and  preserved 
in  10%  formalin.  We  assigned  each  fish  to  one  of 
three  classifications  (male,  female,  or  unknown)  and 
one  of  six  stages  of  sexual  maturity  following  visual 
examination  (Nikolsky  1963).  Some  fish  used  for 
reproductive  studies  were  aged  using  thin  sections 
of  their  saggital  otoliths  (Turner  et  al.  1983). 

Routine  histological  sectioning  and  staining  (hae- 
motoxylin  and  eosin)  techniques  and  light  micro- 
scropy  (450  X  and  1000  x)  were  used  to  examine 
gonad  structure  of  six  small  fish  (<50  cm),  and  assess 
the  state  of  sexual  maturity.  Ovarian  development 
corresponded  to  that  described  by  Moe  (1969)  for 
red  grouper,  Epinephelus  morio,  and  Yamamoto 
(1956)  for  the  flounder  Liopsetta  obscura.  Sperma- 
togenic  development  was  identical  to  that  of  Tilapia 
leucosticta  (Hyder  1969)  and  toadfish,  Opsanus  tau, 
(Hoffman  1963).  Females  were  assessed  as  imma- 
ture when  ovaries  contained  only  previtellogenic  and 
early  vitellogenic  oocytes  (Yamamoto  1956;  Moe 
1969;  Waltz  et  al.  1982;  Ross  1978;  Erickson  and 
Grossman  1986).  Males  were  considered  mature 
when  active  spermatogenesis  was  occurring  and 
spermatozoa  were  present  in  spermatogenic  tubules 
(Ross  1978).  Limited  spermatogenesis  occurred  in 
the  testes  of  some  immature  males  (Erickson  and 
Grossman  1986). 

A  gonosomatic  index  (GSI)  was  calculated  for 

GW 
females  according  to  the  formula  GSI  =  ^fr^  x  100, 

where  GW  =  fresh  gonad  weight  (g)  and  BW  = 
fresh  eviscerated  body  weight  (g)  (Nikolsky  1963), 
for  describing  spawning  seasonality.  The  seasonal 
progression  of  mean  ovum  diameters  was  also  used 
to  establish  the  reproductive  seasonality,  and  the 
ovum-diameter  frequency  distribution  for  ripe 
females  was  used  to  indicate  spawning  frequency 
(isochronal  vs.  heterochronal)  (Hickling  and  Ruten- 
berg  1936).  Separated  ova  from  each  fish  were 
placed  in  liquid  and  stirred;  a  random  sample  for 

measuring  was  then  obtained  by  extracting  three 
aliquots  with  a  large  syringe.  Diameters  of  500- 
1,000  ova  from  each  female  were  measured  (near- 
est ocular  micrometer  unit)  using  a  binocular  dis- 
secting scope  and  a  filar  micrometer.  We  assumed 


''Headboats  are  vessels  which  charge  anglers  for  fishing  on  an 
individual,  thus  "per  head",  basis. 


746 


GRIMES  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  TILEFISH 


uniform  ova  size  (developmental  stage)  distribution 
among  anterior  to  posterior  ovarian  lobe  locations, 
as  has  been  demonstrated  for  Lopholatilus  chamae- 
leonticeps  from  the  South  Atlantic  Bight  (Erickson 
et  al.  1985). 

To  determine  if  the  liver  was  being  utilized  to  store 
energy  in  the  form  of  fat  reserves  to  be  used  in 
gonad  maturation,  we  calculated  a  hepatosomatic 
index  (HSI)  =  liver  weight  (g)/gutted  body  weight 
(g)  X  100  (Htun-Han  1978). 

Ovaries  used  to  estimate  fecundity  ( =  ovarian  egg 
count  of  Gale  and  Deutsch  (1985))  were  preserved 
in  modified  Gilson's  fixative  (Bagenal  and  Braum 
1978).  The  ovarian  tunic  was  removed  and  washed 
free  of  adhering  ova.  Developing  ova  were  separated 
from  folicular  material  and  most  oogonia  by  wash- 
ings under  a  stream  of  water.  Based  upon  initiation 
of  yolk  accumulation,  all  oocytes  with  diameters 
>0.15  mm  were  included  in  ovarian  egg  counts. 
Each  sample  of  developing  ova  was  diluted  in  water 
and  stirred,  then  at  least  two  subsamples  pipetted; 
each  subsample  was  placed  in  a  6  x  6  cm  gridded 
Petri  dish  for  counting.  Ova  were  counted  in  six  ran- 
domly selected  grid  squares,  and  the  average  num- 
ber of  ova  in  the  six  squares  was  then  adjusted  to 
the  total  subsample  count  by  multiplying  the  aver- 
age by  the  total  number  of  grid  squares  in  the  dish. 
The  sample  and  subsamples  were  oven  dried  at  40°C 
for  at  least  24  hours  and  weighed  to  the  nearest 
0.001  g  on  a  Mettler^  balance.  Fecundity  (total 
ovarian  egg  count)  was  estimated  as  the  number  in 
the  subsample  multiplied  by  sample  weight  divided 
by  subsample  weight. 

Predictive  equations  of  fecundity  from  length  and 
weight  were  fit  using  least  squares  regression  and 
converted  to  functional  regressions  (Ricker  1973). 
Fecundity  was  separately  regressed  on  FL  and 
gutted  weight  using  all  possible  combinations  of  un- 
transformed  log  and  semi-log  models.  We  inspected 
residuals,  plots  and  coefficients  of  determination  to 
evaluate  fits. 

RESULTS 

Gonad  Structure  and  Sex  Determination 

Males  smaller  than  600  mm  FL  were  difficult  to 
sex  by  gross  gonadal  structure  because  testes  were 
small  and  undeveloped.  However,  in  females  larger 
than  about  400  mm  FL  ovaries  were  sufficiently 
developed  to  visually  determine  sex  easily.  There- 


^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


fore,  we  histologically  examined  gonadal  tissues  of 
155  fish  (50  males,  545-814  mm  FL;  52  females, 
241-678  mm  FL;  and  53  juveniles,  146-400  mm  FL). 
Based  upon  gonad  microstructure,  seven  fish  be- 
tween 467  and  592  mm  FL  that  were  macroscop- 
ically  unsexable  were  males.  All  juveniles  and  un- 
sexed  fish  <400  mm  FL  (79  fish  121-400  mm  FL) 
appeared  to  be  females,  i.e.,  had  cell  structure  con- 
sisting of  only  oogonia.  These  cells  had  slightly  aci- 
dophilic cytoplasm  and  distinct,  but  irregular,  cell 
membranes.  The  nuclear  membrane  was  less  ob- 
vious because  it  was  masked  by  basophylic  nuclear 
material  located  peripherally. 

The  paired  ovaries  of  adult  L.  chamaeleonticeps 
are  suspended  below  the  swimbladder  from  the  dor- 
sal body  wall  in  the  extreme  posterior  of  the  body 
cavity.  Ovarian  microstructure  and  development  are 
identical  to  Caulolatilus  microps  (Ross  and  Merriner 
1983)  and  L.  chamaeleonticeps  (Erickson  et  al.  1985) 
from  the  South  Atlantic  Bight  and  are  described  in 
detail  by  Idelberger  (1985). 

The  testes  of  tilefish  are  solid,  smooth  textured, 
and  more  elongate  than  ovaries.  In  males  smaller 
than  about  65  cm  FL,  testes  were  not  obviously 
lobed  and  were  pinkish  in  color.  Only  in  large  adult 
males  were  testes  creamy  white  and  heavily  lobed. 
Microstructure  of  the  testes  was  typical  of  teleosts 
(Hoffman  1963;  Smith  1965;  Hyder  1969)  and  was 
identical  to  C.  microps  (Ross  and  Merriner  1983), 
and,  like  the  ovary  structure,  was  described  in  detail 
by  Idelberger  (1985).  Two  males  (604  and  609  mm 
FL)  had  slight  amounts  of  ovarian  tissue  within  the 
testicular  mass  (Fig.  1).  That  ovarian  tissue  con- 
sisted of  several  resting  or  previtellogenic  (peri- 
nucleolar) oocytes  located  in  testicular  mass  with 
definite  spermatogenic  tubules  and  crypt  structure. 

Sexual  Dimorphism 

The  predorsal  adipose  flap  is  sexually  dimorphic 
in  adult  tilefish  and  can  easily  be  used  to  determine 
sex  in  animals  larger  than  about  70  cm  FL.  The  size 
of  the  predorsal  flap  was  significantly  larger  in 
males  than  in  females  older  than  age  5  years  and 
larger  than  65  cm  FL  (Table  1).  It  was  not  possible 
to  compare  predorsal  flap  sizes  of  the  largest  males 
to  those  of  females,  because  females  do  not  grow 
as  large  as  males  (Turner  et  al.  1983;  Harris  and 
Grossman  1985). 

Sexual  Maturity 

We  determined  the  general  pattern  of  age  and  size 
of  sexual  maturity  using  both  visual  staging  and 

747 


FISHERY  BILLETIN:  VOL.  86.  NO.  4 


B 


Figure  1.— Photomicrographs  of  histological  sections  of  tilefish  testes  from  a  60.4  cm  FL  male  at  x400  (A) 
and  a  60.9  cm  FL  male  at  x  100  (B)  showing  residual  oocytes  (RO)  and  spermatogenic  cripts  (SC). 


748 


GRIMES  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  TILEFISH 


Table  1— Mean  (X)  and  sample  size  (A/)  for  predorsal  adiposal 
flap  height  at  size  and  age  for  male  and  female  tilefish,  and 
students  Mests  of  flap  height  differences  between  sexes. 


Males  Females 

X(mm)     N     X(mm)      N 


(-value 


Proba- 
bility 


Size 

(FL,  mm) 

45-49 
50-54 
55-59 
60-64 
65-69 
70-74 
75-79 
80-84 
85-89 
90-94 
95-99 
100-104 

Age 
(years) 

3 
4 
5 
6 

7 

8 

9 
10 
11 
12 
14 
15 


20.1 
23.1 
25.7 
30.6 
37.1 
49.8 
61.8 
72.3 
82.4 
68.0 
63.0 
98.0 


20.5 
36.2 
33.2 
44.0 
51.4 
57.4 
65.0 


112 


13 

29 

36 

40 

73 

67 

30 

30 

12 

1 

1 

8 


0 

0 

6 

23 

41 

40 

17 

8 

4 

0 

0 

1 


17.1 
23.6 
25.9 
27.6 
31.6 
31.7 
37.6 
37.7 
28.8 
38.5 


5.0 
8.1 
20.4 
21.6 
27.9 
30.1 
30.4 
32.9 
31.9 
30.9 
36.5 
36.8 


19 

49 

62 

105 

101 

51 

25 

11 

8 

2 

0 

0 


6 

7 

16 

32 

51 

42 

40 

35 

16 

9 

2 

14 


1.02 

0.33 

0.04 

0.91 

2.63 

3.58 

4.05 

1.90 

1.84 
Not  testable 
Not  testable 
Not  testable 


Not  testable 
Not  testable 

0.018 

6.63 

3.42 

5.64 

5.97 

5.45 

5.59 
Not  testable 
Not  testable 
Not  testable 


N.S. 

N.S. 

N.S. 

N.S. 

<0.01 

<0.01 

<0.01 

<0.05 

<0.05 


N.S. 

<0.001 

<0.01 

<0.001 

<0.001 

<0.001 

<0.001 


histological  data  pooled  over  all  years  of  the  study. 
The  two  methods  gave  substantially  different  results 
for  males;  however,  both  visual  and  histological  data 
suggested  that  all  females  matured  at  60-65  cm  FL 
and  8-9  years  of  age  (Figs.  2,  3).  Visual  staging  in- 
dicated that  virtually  all  males  were  mature  at  80-85 
cm  FL  and  10-11  years.  In  contrast,  histological 
results  indicated  almost  all  males  were  mature  at 
65-70  cm  FL  (estimated  age  7-8  years,  Turner  et 
al.  1983)  (Figs.  2,  3).  That  is,  visual  staging  sug- 
gested that  females  matured  about  20  cm  smaller 
and  2-3  years  younger  than  males;  however,  accord- 
ing to  histological  analysis,  both  males  and  females 
were  mature  and  producing  gametes  at  a  similar  size 
(60-70  cm  FL).  Thus,  these  results  show  that  al- 
though males  were  producing  sperm  at  65-70  cm 
FL  (estimated  7-8  years,  Turner  et  al.  1983),  they 
were  not  developing  a  large  testicular  mass  until 
80-85  cm  FL  and  age  10-11  years. 

We  reasoned  that  predorsal  adipose  flap  size 
might  be  a  sign  of  maturity  or  reproductive  status 
of  males,  because  the  height  of  the  flap  was  larger 
in  males  than  females  above  65  cm  and  age  5  years 
(see  previous  section  on  Sexual  Dimorphism).  Addi- 


tionally, the  development  of  enlarged  adipose  flaps 
in  males  coincided  with  the  size  of  50%  maturity 
(60-65  cm  FL)  as  judged  by  development  of  enlarged 
testes  (i.e.,  visual  method),  not  at  the  smaller  size 
of  50%  maturity  (50-55  cm  FL)  determined  his- 
tologically (Fig.  2).  Therefore,  if  predorsal  adipose 
flap  height  were  a  sign  of  reproductive  status  in 
males,  then  mature  males  should  have  larger  flaps 
than  immature  males;  and  this  was  so  (Fig.  4). 
Furthermore,  ANCOVA  (with  FL  as  the  covariate) 
indicated  that  flap  height  was  significantly  larger 
in  mature  males  than  immature  males  (Table  2). 


Table  2. — Mean  and  ANCOVA  (with  FL  as  the  covariate)  of  predor- 
sal adipose  flap  height  in  sexually  mature  and  immature  male 
tilefish.  Flap  height  data  set  tested  was  restricted  to  a  size  range 
containing  both  mature  and  immature  males  (50-75  cm  FL).  df 
=  degrees  of  freedom,  ss  =  sum  of  squares,  W  =  sample  size,  and 
X  =  mean. 


MEAN 

N 

X  flap  height  (mm) 

X  FL  (cm) 

Immature 
Mature 

94 
87 

28.7 
42.7 

59.4 
68.6 

ANCOVA 

Source 

df 

ss                    F 

P>  F 

Maturity 

FL 

FL  X  maturity 

Error 

Total 


1 

1 

1 

177 

180 


504.4 

7,423.4 

605.1 

13,895.7 

30,365.8 


6.42 

94.56 
7.71 


0.0121 

0.0001 
0.0061 


Because  we  had  studied  reproduction  during  a 
period  of  rapid  expansion  of  the  fishery,  i.e.,  the 
commercial  longline  fishery  had  decreased  the 
tilefish  population  by  one-half  to  two-thirds  from 
1978  to  1982  (Turner  1986),  we  decided  to  examine 
the  data  to  determine  if  the  fishery  had  affected  the 
size  at  which  tilefish  were  developing  enlarged 
testes  (i.e.,  attaining  maturity  as  assessed  by  the 
visual  method).  A  comparison  of  visually  assessed 
sexual  maturity  at  size  and  age  for  1978  and  1982 
suggested  that  females  <50  cm  FL  were  maturing 
at  a  smaller  size  in  1978  than  in  1982,  but  that 
females  >50  cm  FL  matured  at  very  slightly  larger 
sizes  in  1978  than  in  1982  (Table  3).  Log-likelihood 
contingency  tests  of  these  data  for  females  indicated 
that  maturity-at-length  was  significantly  different 
in  1978  and  1982,  but  the  difference  was  due  to  the 
numbers  of  mature  and  immature  fish  between  41 
and  55  cm  (Table  3).  The  data  for  males  <75  cm  FL 
indicated  that  males  matured  at  smaller  size  in  1982 
than  in  1978  (Table  4).  A  log-likelihood  contingency 


749 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


100—, 


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4^ — o — o — o — o 

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• •     HISTOLOGICAL 


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Figure  2.— The  relationship  of  sexual  maturity  (by 
both  visual  staging  and  histological  methods)  and  size 
(5  cm  FL  intervals)  for  female  and  male  tilefish.  Sam- 
ple size  is  shown  next  to  each  point.  Curves  are  fitted 
by  eye. 


100—1 


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40  60  80  100 


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Q. 


50  — 


"T       I       I       I       I       I 1 1 1 1 1 1 1 1       I r 

2  4  6  8         10         12        14       >15 


Figure  3.— The  relationship  of  sexual  maturity  (by  visual 
staging)  and  age  for  female  and  male  tilefish.  Sample  size 
is  shown  next  to  each  point.  Curves  are  fitted  by  eye. 


AGE  (years) 


750 


GRIMES  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  TILEFISH 

Table  3— Female  sexual  maturity  at  length  (visually  determined) 
and  log-likelihood  contingency  test  that  maturity  at  fork  length  (FL) 
in  female  tilefish  was  not  different  for  1 978  and  1 982.     Critical  chi- 

.2 


square  values  are  x  oos 


(11  df)  =  19.7andx  0  01  (■'■'  df)  =  24.7. 


Table  4.— tvlale  sexual  maturity  at  length  (visually  determined)  and 
log-likelihood  contingency  tests  that  maturity  at  fork  length  (FL)  in 
male  tilefish  was  not  different  for  1978  and  1982.  Critical  chi- 
square  values  are  x^oos  C^  "^0  =  "'^-^l  and  x^o.oi  CO  dO  = 
23.2.     NT  =  not  testable. 


N 1    =  noi 

lesiat 

3ie. 

1978 

1982 

1978 

1982 

. 

FL 

Maturity 

Sample 

(Maturity 

Sample 

G- 

FL 
(cm) 

Maiuiiiy 

No.      % 

Sample 
size 

No. 

% 

Sample 
size 

6- 

statistic 

(cm) 

No. 

% 

size 

No. 

% 

size 

statistic 

31-35 

0 

0 

4 

N 

0      d 

a 

t   a 

NT 

26-30 

N 

0      d 

a  t   a 

0 

0 

1 

NT 

36-40 

0 

0 

15 

N 

0      d 

a 

t   a 

NT 

31-35 

0 

0 

7 

0 

0 

3 

0 

41-45 

5 

28 

18 

11 

52 

21 

4.4 

36-40 

3 

21 

14 

0 

0 

17 

0 

46-50 

10 

24 

42 

50 

79 

63 

59.9 

41-45 

11 

49 

23 

4 

7 

60 

30.4 

51-55 

13 

12 

105 

16 

43 

37 

47.3 

46-50 

34 

81 

42 

11 

15 

72 

89.6 

56-60 

0 

0 

15 

19 

73 

26 

0 

51-55 

54 

59 

92 

41 

89 

46 

56.5 

61-65 

8 

44 

18 

12 

71 

17 

5.2 

56-60 

40 

80 

50 

35 

100 

35 

0 

66-70 

15 

60 

25 

16 

89 

18 

13.7 

61-65 

63 

98 

64 

49 

100 

49 

0 

71-75 

31 

79 

39 

15 

94 

16 

8.9 

66-70 

57 

100 

57 

27 

100 

27 

0 

76-80 

47 

96 

49 

20 

91 

22 

1.8 

71-75 

12 

100 

12 

29 

100 

29 

0 

81-85 

28 

100 

28 

14 

100 

14 

0 

76-80 

12 

92 

13 

14 

93 

15 

0.2 

86-90 

10 

100 

10 

5 

100 

5 

0 

81-85 

10 

100 

10 

4 

100 

4 

0 

91-95 

3 

100 

3 

2 

100 

2 

0 

86-90 

6 

100 

6 

N 

0      d 

a   t   a 

NT 

96-100 

8 

100 

8 

N 

0      d 

a 

t   a 

NT 

91-95 

3 

100 

3 

1 

100 

1 

0 

101-105 

3 

100 

3 

N 

0      d 

a 

t   a 

NT 

96-100 

N 

0      d 

a   t   a 

1 

100 

1 

NT 

106-110 

1 

100 

1 

N 

0      d 

a 

t   a 

NT 

Total 

393 

360 

176.7 

111-115 
Total 

1 

100 

1 
384 

N 

0      d 

a 

t   a 
241 

NT 
141.2 

_       80- 

E 
o 


g      60 

I 


CL 
< 

i      40H 


LU 
CO 

O 

Q. 
Q 
< 


20- 


O    IMMATURE      n  =  38 


MATURE  n  =  92 


1 


O. 


O         O20 
5 


o. 


o. 


"^ \         r 

40 


-^ \       '       r 

60 


n r 

80 


LENGTH 


(cm) 


Figure  4.-Mean  predorsal  adipose  flap  height  at  length  (5  cm  FL  intervals)  for  sexually  mature 
and  immature  male  tilefish.  Maturity  was  assessed  by  visual  staging.  Sample  size  is  indicated  for 
each  interval. 


751 


FISHERY  HI'LLKTIN:  VOL.  8fi.  NO.  4 


test  indicated  that  maturity-at-age  in  males  for  the 
two  years  was  highly  significantly  different  (Table 

4). 

Analysis  of  visual  maturity  at  age  data  gave  less 
ambiguous  results.  Percent  of  females  mature  at  age 
in  1978  and  1982  was  not  significantly  different 
(Table  5).  However,  males  matured  at  younger  ages 
in  1982  than  1978,  and  the  differences  between 
years  were  highly  statistically  significant  (Table 
6). 


Table  5.— Female  sexual  maturity  at  age  (visually  determined)  and 
log-likelihood  contingency  tests  that  maturity  at  age  in  female 
tilefish  was  not  different  for  1978  and  1982.  Critical  chi-square 
values  are  x^o.os  (9  df)  =  16.9  and  x^o  oi  (9  df)  =  21 .7.  NT  =  not 
testable. 


1978 


1982 


Age 

Maturity 

Sample 

Maturity 

Sample 

G- 

(yr) 

No. 

% 

size 

No. 

% 

size 

statistic 

3 

0 

0 

1 

0 

0 

3 

0 

4 

1 

8 

13 

1 

5 

19 

0.3 

5 

35 

43 

82 

5 

33 

15 

3.1 

6 

19 

83 

23 

3 

75 

4 

0.6 

7 

47 

90 

52 

8 

100 

8 

0 

8 

68 

97 

70 

20 

95 

21 

0.7 

9 

14 

100 

14 

14 

100 

14 

0 

10 

2 

100 

2 

12 

100 

12 

0 

11 

N 

0      d 

a  t   a 

7 

100 

7 

NT 

12 

1 

100 

1 

8 

100 

8 

0 

13 

N 

0      d 

a  t   a 

4 

100 

4 

NT 

14 

N 

0      d 

a  t   a 

2 

100 

2 

NT 

>15 

9 

100 

9 

4 

100 

4 

0 

Total 

267 

121 

4.7 

Sex  Ratio 

To  minimize  the  chances  of  obtaining  biased 
results  caused  by  the  effects  of  fishing  we  estimated 
sex  ratio  at  size  and  age  using  only  data  collected 
in  1978  when  the  tilefish  population  was  lightly  ex- 
ploited. Proportions  of  males  and  females  were 
similar  in  the  46-50  and  51-55  cm  FL  intervals,  al- 
though the  ratio  in  the  51-55  cm  FL  interval  tested 
significantly  different  at  P  <  0.05  (Table  7).  Males 
were  significantly  predominant  (70-80%)  between 
71  and  90  cm  FL.  At  the  91-95  cm  FL  size  females 
were  predominant  once  again  (>50%),  although  not 
significantly  so  (Table  7).  Above  100  cm  FL  only 
males  were  collected. 

The  general  pattern  of  sex  ratio  at  age  in  1978 
seems  to  have  been  equal  proportions  of  the  sexes 
through  about  age  20  years,  with  only  females  pres- 
ent from  ages  29  to  36  years.  Log-likelihood  tests 
of  sex  ratio  at  age  showed  no  significant  differences 


Table  6.— Male  sexual  maturity  at  age  (visually  determined)  and 
log-likelihood  contingency  tests  that  maturity  at  age  in  male  tilefish 
was  not  different  for  1978  and  1982.  Critical  chi-square  values 
are  x^o.os  (^  df)  =  15.5  and  x^o.oi  (^  ^^  =  20.1 .  NT  =  not  testable. 


1978 


1982 


Age 

(yr) 


Maturity 
No.      % 


Sample 
size 


Maturity 
No.      % 


Sample 
size 


G- 

statistic 


4 

1 

6 

16 

3 

75 

4 

34.5 

5 

10 

10 

96 

7 

41 

17 

44.8 

6 

3 

19 

16 

8 

80 

10 

27.6 

7 

6 

38 

16 

6 

75 

8 

22.3 

8 

41 

77 

53 

15 

75 

20 

0.6 

9 

23 

85 

27 

19 

100 

19 

0 

10 

5 

100 

5 

6 

86 

7 

0 

11 

2 

100 

2 

1 

100 

1 

0 

12 

1 

100 

1 

2 

100 

2 

0 

>15 

11 

100 

11 

N 

0      d 

a   t   a 

NT 

Total 

246 

88 

129.8 

Table  7.— Sex  ratio  at  length  and  log-likelihood  tests  that 
sex  ratio  was  not  different  from  1:1  at  5  cm  FL  intervals. 
All  G  scores  were  calculated  using  Yates  correction  for 
small  sample  sizes.  Critical  chi-square  values  are  x^oos  (^ 
df)  =  3.84  and  x^ooi  (^  df)  =  6.64.     NT  =  not  testable. 


Fork  length 

Number 

Number 

G- 

(cm) 

of  females 

Percent 

of  males 

statistic 

46-50 

46 

46 

54 

0.6 

51-55 

95 

41 

134 

6.7 

56-60 

56 

78 

16 

23.5 

61-65 

66 

78 

19 

27.5 

66-70 

74 

69 

33 

16.1 

71-75 

18 

30 

43 

10.5 

76-80 

14 

21 

53 

25.8 

81-85 

13 

30 

31 

7.6 

86-90 

7 

37 

12 

1.3 

91-95 

5 

63 

3 

0.4 

96-100 

0 

0 

9 

NT 

101-105 

0 

0 

4 

NT 

106-110 

0 

0 

2 

NT 

111-115 

0 

0 

1 

NT 

from  equality  except  for  ages  7  and  8  years;  sex  ratio 
at  age  was  not  testable  for  ages  29-36  years  because 
only  females  were  present  (Table  8). 

Although  sex  ratio  was  skewed  with  age  and  size, 
the  estimated  sex  ratio  for  the  entire  population  was 
different  from  1:1  in  1978  (Table  9).  We  calculated 
the  population  to  be  46.2%  males,  and  could  not  re- 
ject the  null  hypothesis  that  sex  ratio  is  not  differ- 
ent from  1:1  (x^  =  0.15,  df  =  1,  x"o.o5  =  3.84)  in  the 
population  >50  cm  FL. 

Spawning 

Several  lines  of  evidence  suggest  that  tilefish  in 
the  Mid- Atlantic-southern  New  England  area  are 


752 


GRIMES  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  TILEFISH 


Table  8.— Sex  ratio  at  age  and  log-likelihood  tests  that  sex 
ratio  at  age  was  not  different  from  1:1.  All  G  scores  were 
calculated  using  Yates  correction  for  small  sample  sizes. 
Critical  chi-square  values  are  x^qos  (^  <^^  =  3.84  and  x^o.oi 
(1  df)  =  6.64.    NT  =  not  testable. 


Age 

Number 

Number 

G- 

(yr) 

of  females 

Percent 

of  males 

statistic 

4 

1 

100 

0 

NT 

5 

43 

46 

50 

0.7 

6 

10 

67 

5 

2.5 

7 

40 

78 

11 

18.8 

8 

69 

62 

42 

7.1 

9 

20 

49 

21 

1.0 

10 

2 

29 

5 

2.4 

11 

0 

0 

2 

NT 

16 

2 

40 

3 

0.8 

19 

2 

50 

2 

Equality 

29 

1 

100 

0 

NT 

30 

1 

100 

0 

NT 

31 

1 

100 

0 

NT 

32 

2 

100 

0 

NT 

33 

1 

100 

0 

NT 

34 

1 

100 

0 

NT 

35 

1 

100 

0 

NT 

36 

1 

100 

0 

NT 

Table  9.— The  proportion  of  male  tilefish  in  the  1978 

n 

population  >50  cm  FL,  P  =   X  L,  M,  where  L  and  M  = 

the  proportion  of  all  fish  and  males,  respectively,  in  the  /'^ 
5  cm  FL  interval,  and  n  =  the  number  of  size  intervals.  L, 
was  determined  from  the  1978  commercial  longline  catch 
of  tilefish. 


Proportion 

Proportion 

Fork  length 

of 

Proportion 

of  males  in 

(cm) 

all  fish 

of  males 

population 

/ 

L 

M 

P 

<50 

0.026 

0 

0 

51-55 

0.058 

0.540 

0.032 

56-60 

0.158 

0.253 

0.026 

61-65 

0.073 

0.167 

0.012 

66-70 

0.162 

0.267 

0.044 

71-75 

0.191 

0.646 

0.127 

76-80 

0.110 

0.792 

0.089 

81-85 

0.087 

0.744 

0.066 

86-90 

0.682 

0.611 

0.043 

91-95 

0.021 

0.400 

0.008 

96-100 

0.011 

0.875 

0.010 

>101 

0.036 

1.000 

0.004 
=  0.462 

fractional  spawners  from  about  March  through 
November,  although  most  of  the  reproduction 
evidently  occurs  from  May  to  September.  Some 
females  with  free  ova  in  the  ovarian  lumen  (running 
ripe)  v^ere  present  in  March  through  August  and  in 
October  and  November.  From  May  through  August, 
89-98%  of  the  females  were  ripe  or  running  ripe 
(Fig.  5).  Running  ripe  or  ripe  males  were  not  as 


frequently  observed  as  were  females  in  a  similar 
reproductive  state.  In  fact,  only  very  large  males 
(75-80  cm  FL)  were  observed  with  a  large  creamy 
white  swollen  testicular  mass.  Ripe  males  were 
found  in  January,  March,  May  through  August, 
October,  and  November,  but  the  highest  proportions 
(23-46%)  were  present  in  May  through  August  (Fig. 
5). 

GSI  data  for  females  indicated  a  similar  seasonal 
spawning  pattern  (Fig.  6).  Highest  GSI  values  con- 
sistently occurred  from  May  through  August,  when 
ovaries  accounted  for  3.5-8.3%  of  gutted  body 
weight. 

Analysis  of  ovum-diameter  data  also  suggested 
that  spawning  occurred  mostly  from  May  to  Sep- 
tember, and  indicated  that  spawning  was  fractional, 
i.e.,  ova  were  released  in  batches.  Highest  monthly 
mean  developing  ovum  diameters  (0.30-0.42  mm) 
occurred  in  May  through  August  (Fig.  7).  During 
these  months  mean  ovum  diameter  was  usually 
>0.35  mm  (Fig.  7).  During  other  months,  mean 
ovum  diameter  was  always  <0.30  mm.  The  size- 
frequency  distribution  of  ova  from  running  ripe 
females  was  polymodal  (Fig.  8),  suggesting  multi- 
ple spawnings  by  individual  females  during  the 
reproductive  season. 

Tilefish  may  not  utilize  the  liver  and  soma  to  store 
energy  as  fat  for  mobilization  to  the  gonads  in  prep- 
aration for  spawning  as  many  species  are  thought 
to  do  (Hoar  1957).  HSI  for  both  males  and  females 
showed  a  distinct  pattern  of  seasonal  variation,  but 
highest  values  occurred  during  summer  (spawning 
season)  and  lowest  in  winter  (Fig.  9).  Somatic  con- 
dition factor  (eviscerated  weight,  g/FL^)  showed  no 
discernable  seasonal  pattern  in  males  or  females. 

Fecundity 

Because  tilefish  are  fractional  spawners,  fecun- 
dity (ovarian  egg  count)  was  estimated  from  females 
collected  early  in  the  spawning  season  (i.e.,  May  to 
early  June)  to  minimize  the  chance  of  using  a  par- 
tially spawned  ovarj'  and  underestimating  egg  num- 
ber. Estimates  of  fecundity  ranged  from  approx- 
imately 195,000  for  a  53  cm  FL  (2.1  kg)  female  to 
10  miUion  for  a  91  cm  FL  (13  kg)  female,  with  a 
mean  egg  count  of  2.28  million  (r?  =  49,  SD  =  1.02). 
The  91  cm  FL  female  with  10  million  eggs  was  ex- 
ceptional; all  other  estimates  were  <4.1  million,  even 
for  other  large  females  80  and  86  cm  FL.  Therefore, 
we  judged  that  the  two  largest  fish,  91  and  86  cm 
FL,  were  outliers  and  developed  predictive 
equations  for  egg  count  without  using  outlier  data. 


753 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


STAGE 


4    Running 


fmamj   jasond 


MALE 
100 


N=45 


LLI 
O 
IT 
lU 
Q. 


STAGE 

"1 

3  +  4    Rip 

2     Dev. 

V 

5  +  6 

Spent/ 

Resting 

Figure  5.— Reproductive  seasonality  of  female  and  male  tilefish  as  indicated  by  the  percent  of  various 
visual  maturity  stages  collected  by  month  from  1978  to  1982. 


Log-transformed  models  produced  slightly  super- 
ior fits,  with  length  proving  a  slightly  better  pre- 
dictor of  ovarian  egg  count  than  weight  (log^  Y  = 
4.75  log,  FL  -  5.2,  r^  =  0.62,  n  =  48;  log,  Y  = 
1.48  log,  W  +  2.48,  r^  =  0.59,  n  =  48).  Based  upon 
our  estimates,  a  first  spawning  female  would  pro- 
duce <500,000  eggs. 

DISCUSSION 

Seasonality  and  Spawning 

It  seems  clear  that  the  northern  stock  of  Lopho- 
latilus    chamaeleonticeps    consists    of   fractional 


spawners  over  an  8  or  9  month  season,  with  peak 
spawning  from  May  to  September.  Our  findings 
agree  with  the  limited  information  previously  re- 
ported. Collins  (1884)  reported  ripe  fish  in  July; 
Bigelow  and  Schroeder  (1953)  in  August;  Dooley 
(1978)  in  February,  March,  June,  and  July;  Morse 
(MS)^  March  through  August;  and  Freeman  and 
Turner  (1977)  from  mid-March  to  mid-September. 
Other  members  of  the  Branchiostegidae  (Caulola- 
tilus  microps,  C.  chrysops,  C.  princeps,  C.  affinis, 


'Morse,  W.  W.  Length,  weight,  spawning  and  fecundity  of  the 
tilefish,  Lopholatilus  chamaeleonticeps,  from  New  Jersey  waters. 
Unpubl.  manuscr.  Northeast  Fish.  Cent.  Sandy  Hook  Lab.,  Natl. 
Mar.  Fish.  Serv.,  NOAA,  Highlands,  NJ  07732. 


754 


GRIMES  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  TILEFISH 
10 


8  - 


X 

m 
o 


6- 


Q 

< 

Z 
O 
O      4, 

z 
< 


2- 


jIfImIaImIjIjIaIsIoInId 

1979 


jIfImIaImIjIjIaIsIoInIdIjIfImIaImIjIjIaI 
1980  I  1981 


SAMPLING   DATE 

Figure  6.— Reproductive  seasonality  of  female  tilefish  as  indicated  by  monthly  mean  gonad  index.  Sample 

size  is  indicated  for  each  month. 


60-1 


50' 


E 
E 

tr    40- 


< 

Q      30- 


>- 
o 
o 
o 


< 

m 


20- 


10- 


j'f'm'a'm'jIjIa's'o'n'dIj'f'm'a'm'j'j'a 


1980 


1981 


SAMPLING      DATE 


Figure  7.— Reproductive  seasonality  of  female  tilefish  as  indicated  by  monthly  mean  oocyte  diameters.  Sample  size  is  indicated 

for  each  month. 


755 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


n  =  521 


-J 

.5  .6  7  8  ,9  1.0         1.1 

OOCYTE    DIAMETER   (05   mm   intervals) 


r 

1.2 


T 
1.4 


Figure  8.— Frequency  distribution  of  oocyte  diameters  from  a  spawning  66  cm  FL  female  tilefish  (running  ripe)  collected 

in  June  1979. 


Figure  9.— Monthly  mean  heptosomatic  index 
for  male  (upper)  and  female  (lower)  tilefish. 
Sample  size  is  shown  next  to  each  mean. 


30  -\ 


X   20- 

LU 

a 

z 


tr 

>    10 


30 


20  - 


lC 

m 
> 
3    101 


a|sJo|n|d    j| f|m|a|m|j|j|a|s|o|n|d 

1979  1980 

SAMPLING   DATE 


18 
1611    .      20 


J|F|M|A|VI|J|J|A| 
1981 


A  I  S|  0| N  I  D 
1979 


J|F|M|A|M|J|J|A|S|0|N|D 
1980 

SAMPLING   DATE 


J|F|M|A|M|J|J|A| 
1981 


756 


GKIMES  ET  AL.:  REPRODUCTIVE  BIOLOGY  OP'  TILEFISH 


Branchiostegus  japonicus)  all  exhibit  extended  re- 
productive seasons  centered  around  summer  (Haya- 
shi  1977,  1979;  Dooley  1978;  Ross  and  Merriner 
1983).  However,  Erickson  et  al.  (1985)  reported  that 
L.  chamaeleonticeps  spawned  from  March  through 
June  off  Georgia  in  the  South  Atlantic  Bight.  The 
reason  for  the  shorter  reported  spawning  season  for 
L.  chamaeleonticeps  in  the  South  Atlantic  Bight  is 
uncertain. 

Fractional  spawning  by  individual  females  was  in- 
dicated by  the  polymodal  frequency  distribution  of 
ovum  diameters.  This  asynchronous  follicular  devel- 
opment is  typical  of  fractional  spawning  (deVlam- 
ing  1983),  and  has  been  reported  for  L.  chamaele- 
onticeps in  the  South  Atlantic  Bight  (Erickson  et  al. 
1985)  and  Mid-Atlantic  Bight  (Morse  fn.  9).  Frac- 
tional spawning  based  upon  polymodal  ovum-diam- 
eter distributions  has  also  been  reported  for  the  con- 
familials  C.  microps  and  B.  wardi  (Dooley  1978; 
Ross  and  Merriner  1983). 

Our  estimates  of  fecundity  in  tilefish  are  consis- 
tent with  those  in  the  literature.  We  agree  with  Gale 
and  Deutsch  (1985)  that  the  term  fecundity  is  incor- 
rectly applied  to  many  fishes,  especially  fractional 
spawners,  because  in  most  cases  there  is  no  reason- 
able means  to  determine  which  or  how  many  oocytes 
or  developing  ova  will  be  released,  or  how  many 
ovarian  ova  will  be  resorbed  after  spawning  and 
never  released.  Therefore,  we  recognize  that  our 
ovarian  egg  count  data  provides  only  a  rough  esti- 
mate of  actual  fecundity.  Erickson  and  Grossman 
(1986)  found  the  relationship  between  fecundity  and 
weight  to  be  best  described  by  a  log  transformation 
(log,  F  =  1.497  log,  W  +  12.59,  r-  =  0.93);  while 
Morse  (fn.  9)  found  the  relationship  best  fitted  to 
a  linear  form  (F  =  -966,471  +  887  W,  r"~  =  0.61). 
To  compare  our  estimates  further  we  calculated 
relative  fecundity  using  extreme  point  estimates  of 
fecundity  reported  by  other  authors  (Erickson  and 
Grossman  1986,  414 -g"^  and  950 -g''  for  2.0  and 
8.0  kg  fish;  Morse  fn.  9,  543 -g-^  and  867 -g-^  for 
3.5  and  9.0  kg  fish)  and  this  study  (119 -g"'  and 
769 -g"'  for  2.1  and  13.0  kg  fish),  and  using  predic- 
tive equations  (Table  10).  Comparing  the  range  of 
point  estimates,  the  three  studies  are  similar,  how- 
ever our  findings  agree  more  closely  with  Erickson 
and  Grossman  (1986)  when  the  comparison  is  based 
upon  predictive  equations.  The  inconsistency  in  the 
comparison  is  because  Morse  (fn.  9)  used  a  linear 
equation,  thus  assuming  that  egg  production  per 
gram  of  body  weight  was  constant  for  all  body 
weights,  and  Erickson  and  Grossman  (1986)  and  this 
study  chose  curvilinear  equations.  It  is  possible  to 


conclude  that  small  tilefish,  like  some  other  fishes 
(Grimes  1987),  produce  fewer  eggs  per  unit  body 
weight  than  larger  fish. 

We  compared  numbers  of  ova  actually  found  in 
ripe  ovaries  collected  on  1  July  (n  =  3)  and  28 
August  {n  =  6)  to  ovarian  egg  numbers  predicted 
for  the  same  size  females  to  estimate  what  propor- 
tion of  ova  had  been  spawned  in  the  mid-  and  late- 
spawning  season.  The  analysis  suggested  that  ap- 
proximately 25%  of  ovarian  eggs  were  spawned  by 
July  and  50%  by  the  end  of  August.  The  ovaries  of 
two  postspawning  females  collected  on  10  October 
contained  considerable  quantities  of  ovarian  eggs 
>0.15  mm  in  diameter.  These  ova  accounted  for 
15-20%  of  the  predicted  ovarian  egg  number.  By 
December  11  (n  =  3)  the  number  of  ovarian  eggs 
>0.15  mm  in  diameter  had  decreased  to  about  5% 
of  the  predicted  maximum  ovarian  egg  number. 
Since  atretic  ova  were  observed  in  histological 
preparations  of  ovaries  in  spent  and  resting  stages, 
and  resorption  is  well  documented  in  other  teleosts 
(Hoar  1957;  Smith  1965;  Combs  1969;  Foucher  and 
Beamish  1977;  LaRoche  and  Richardson  1980; 
Waltz  et  al.  1982),  it  seems  reasonable  to  conclude 
that  at  least  15-20%  of  the  maximum  ovarian  egg 
number  are  never  spawned  and  are  resorbed  dur- 
ing the  winter. 

Sexuality 

Our  results  agree  with  Erickson  and  Grossman 
(1986)  that  tilefish  are  gonochoristic  and  that  sec- 
ondary gonochorism  is  a  possibility.  Gonad  micro- 
structure  and  development  of  adult  (>50  cm  FL) 
tilefish  were  typical  of  most  male  and  female  ovi- 
parous teleosts,  and  identical  to  that  described  for 


Table  10. — Comparison  of  ovarian  egg  number  and 
relative  ovarian  egg  number  for  small  (2.0  kg)  and  large 
(9.0  kg)  female  tilefish  calculated  following  Erickson 
and  Grossman  (1986),  Morse,'  and  this  study. 


Body 
weight 

Egg 

number 

Relative 
egg  number 

Erickson  and 
Grossman 

2.0 
9.0 

828,723 
7,875,326 

414 
875 

Morse 

2.0 

9.0 

1,773,003 
7,982,003 

887 
887 

This  study 

2.0 
9.0 

917,434 
8,498,245 

459 
944 

'Morse,  W.  W.  Length,  weight,  spawning  and  fecundity  of 
the  tilefish,  Lopholatilus  chamaeleonticeps.  from  New  Jersey 
waters,  Unpubl.  manuscr  Northeast  Fish.  Cent.  Sandy  Hook 
Lab  ,  Natl   Mar.  Fish.  Serv.,  NOAA,  Highlands,  NJ  07732. 


757 


FISHERY  KILLKTIN:  VOL.  8«.  NO.  4 


male  and  female  Caulolatilus  microps  (Ross  and 
Merriner  1983)  and  female  Lopholatilus  chamaele- 
onticeps  (Erickson  et  al.  1985).  Like  Ross  and  Mer- 
riner (1983)  and  Erickson  and  Grossman  (1986),  we 
also  found  a  few  adult  males  (2  of  50)  with  ovigerous 
tissue  (previtellogenic  residual  oocytes)  in  the  testic- 
ular mass.  Histological  sections  of  testes  revealed 
no  gross  structural  features  that  indicated  prior 
functional  female  status  (e.g.,  remnants  of  an 
ovarian  lumen  (Sadovy  and  Shapiro  1987)).  Further- 
more, no  ovary  was  ever  observed  in  transition  to 
a  testis  (transitional  ovotestes),  however  transition 
can  occur  within  a  matter  of  weeks.  Similar  to  other 
branchiostegids  (C  microps,  Ross  and  Merriner 
1983;  Brayichiostegus  wardi  and  B.  seTratus,  Dooley 
1978;  L.  chamaeleonticeps ,  Erickson  and  Grossman 
1986),  sex  ratios  were  skewed  in  favor  of  males  at 
large  sizes.  However,  both  sexes  were  present  at 
most  sizes  and  ages  (45-95  cm  FL  and  5-10, 16,  and 
19  years)  and  only  females  were  present  at  ages 
29-36  years,  ruling  out  protogyny.  Disparate  sex 
ratios  at  size  are  apparently  due  to  differential 
growth  and  mortality  rates  between  sexes  (Turner 
et  al.  1983;  Harris  and  Grossman  1985). 

Our  histological  examination  of  juvenile  gonads 
suggest  that  some  L.  chamaeleonticeps  may  undergo 
prematurational  sex  reversal.  All  juvenile  gonads 
examined  (63  fish,  146-400  mm  FL)  appeared  to  be 
female,  based  upon  gonad  cell  structure  (i.e.,  pres- 
ence of  only  oogonia  and  previtellogenic  oocytes). 
We  are  very  tentative  about  the  determination  that 
all  of  these  small  fish  (<400  mm  FL)  were  females, 
because  undifferentiated  gonia,  oogonia,  and  sper- 
matogonia are  very  similar  in  appearance  (Yama- 
moto  1956;  Hoffman  1963;  Hyder  1969;  Ross  1978). 
Once  a  gonad  has  developed  gross  structure  such 
as  spermatogenic  tubules  and  crypts,  or  an  ovarian 
lumen,  determining  sex  is  straightforward.  We 
found  residual  oogonia  in  2  of  50  histologically  ex- 
amined testes.  We  found  no  juveniles  with  truly 
intersexual  gonads,  nor  were  we  able  to  observe  a 
lumen.  Ross  and  Merriner  (1983)  suggested  that  the 
confamilial  C.  microps  underwent  prematurational 
sex  reversal,  and  that  gonochorism  in  C.  microps 
might  be  a  regression  from  monandric  protogyny. 
Their  conclusions  were  based  upon  findings  from 
four  juveniles  (one  specimen  with  a  totally  ovarian 
gonad  and  the  remaining  three  with  gonads  that 
contained  substantial  amounts  of  testicular  tissue), 
and  adult  males  (8  of  41  examined)  with  residual 
oocytes  in  the  testicular  mass. 

That  prematurational  sex  reversal  has  been  ob- 
served among  several  families  and  species  of  fish 


suggests  that  either  prematurational  sex  reversal 
is  more  common  among  fishes  than  suspected,  or 
that  early  gonad  development  in  fishes  involves  an 
all-female  or  female-appearing  stage.  For  example, 
the  salmonid  Salmo  gairdneri  (Mrsic  1923);  the 
cyprinidsBrac^danio  rerio  (Takahashi  1977),  Bnr- 
bus  tetrazona  (Takahashi  unpubl.  data  cited  in  Taka- 
hashi 1977),  Rodeus  ocellatus  (Shimizu  1979), 
Cyprinus  carpio  (Davis  and  Takashima  1980),  and 
Carassius  auratus  (Stromsten  1931;  Takahashi  and 
Takano  1971);  and  the  anabantids  Mac ropoc/us  eon- 
color  and  M.  opercularis  (Schwier  1939)  are  hatched 
as  all  females  having  ovaries  with  no  testicular  char- 
acteristics. About  one-half  continue  normal  devel- 
opment to  mature  females  and  about  one-half  under- 
go a  transitory  intersexual  stage  before  becoming 
adult  males.  The  female  juvenile  cyprinids  Brachy- 
danio  rerio,  Barbus  tetrazona,  Rhodeus  ocellatus, 
and  Carassius  auratus  all  develop  an  ovarian  lumen, 
as  well  as  oogonia  and  previtellogenic  oocytes.  Pre- 
maturational sex  change  is  reportedly  common 
among  the  hermaphroditic  Sparismatinae  (Scaridae) 
that  spend  their  entire  life  as  males  (Robertson  and 
Warner  1978). 

Social  Control 

We  interpret  the  data  on  sexual  maturity  and  sex- 
ual dimorphism  to  suggest  that  some  sexually 
mature  males  delay  participation  in  spawning  for 
up  to  3  years  and  10-15  cm,  and  that  this  mating 
system  is  socially  mediated.  Histological  assess- 
ments of  sexual  maturity  revealed  that  both  males 
and  females  produced  mature  gametes  by  about  50 
cm  FL  and  5-6  years.  However,  visual  inspection 
of  gonads  to  determine  maturity  gave  the  same 
result  as  the  histological  evidence  in  females,  but 
indicated  that  males  were  not  mature  until  attain- 
ing 65-70  cm  FL  and  7-8  years.  Ross  and  Merriner 
(1983)  also  reported  that  some  Caulolatilus  microps 
males  that  were  visually  assessed  as  immature  were 
later  shown  by  histological  methods  to  be  produc- 
ing mature  gametes,  and  Erickson  and  Grossman 
(1986)  found  L.  chamaeleonticeps  off  Georgia  that 
showed  active,  yet  incomplete  spermatogenesis. 

Sexual  dimorphism  in  tilefish  is  manifested  in  the 
size  of  the  adipose  flap  which  is  conspicuously  larger 
in  males  than  females  and  larger  ultimate  body  size 
in  males;  size  of  the  adipose  flap  may  be  an  indica- 
tion of  male  breeding  status.  The  adipose  flap  of 
males  became  larger  at  65-70  cm  FL  (7-8  years) 
when  males  were  judged  sexually  mature  by  visual 
inspection  (i.e.,  had  developed  large  testes),  not 


758 


CRIMES  ET  AL.:  REPRODUCTIVE  BIOLOGY  OF  TILEFISH 


when  they  were  functionally  mature  at  50  cm  FL 
as  revealed  by  histological  methods. 

A  nonrandom  mating  system  of  pairing,  involv- 
ing mate  selection  by  females,  is  consistent  with  the 
both  sexual  dimorphisms  observed  in  tilefish. 
Female  mate  selection  can  convey  a  reproductive 
advantage  to  large  males  (Ghiselen  1969;  Howard 
1979),  but  in  randomly  mating  species,  females  are 
usually  larger  than  males  (Ghiselen  1969).  Female 
ability  to  discriminate  males  is  required  to  support 
female  mate  selection  (Howard  1979),  which  often 
leads  to  development  of  specialized  structures  and 
colorations  by  males  for  display  (Krebs  1972; 
Warner  and  Robertson  1978).  The  enlarged  adipose 
flap  in  tilefish  certainly  represents  a  conspicuous, 
highly  visible  feature  in  some  adult  males  that  could 
serve  as  a  visual  cue  to  signal  male  breeding  status. 

The  evolution  of  a  female  mate  selection  system 
requires  that  a  male  have  the  ability  to  control 
resources  important  to  the  female  (Howard  1979; 
Krebs  and  Davies  1984),  and  several  lines  of  evi- 
dence suggest  that  male  tilefish  may  be  territorial. 
Burrowing  is  apparently  the  rule  in  the  family 
(Able  et  al.  1987).  Direct  observation  from  sub- 
mersibles  and  mark-recapture  data  indicated  that 
tilefish  orient  to  particular  burrows,  and  may  be 
long-term  residents  of  their  habitats  (Grimes  et  al. 
1983,  1986).  Furthermore,  time-lapse  photography 
showed  the  same  male-female  pair  of  tilefish  utiliz- 
ing the  same  burrow  over  a  26-h  period  (Grimes  et 
al.  1986),  and  pair  formation  has  been  observed  in 
the  branchiostegids  Malacanthus  plumieri  (Clark 
and  Ben-Tuvia  1973),  Hoplolatilus  sp.  (Thresher 
1984),  and  H.  starcki  and  H.  cuniculus  (Randall  and 
Dooley  1974). 

We  believe  that  our  data  indicate  that  tilefish  have 
a  mating  system  consisting  of  two  classes  of  sex- 
ually mature  males,  a  category  actively  engaged  in 
spawning  and  a  category  of  satellite  males  that  do 
not  spawn.  Similar  breeding  systems  have  been 
described  for  several  species  of  hermaphroditic  reef 
fish  (Popper  and  Fishelson  1973;  Fishelson  1975; 
Warner  and  Robertson  1978;  Robertson  and  Warner 
1978;  Warner  and  Hoffman  1980;  Shapiro  1984). 
For  example,  there  are  scarid  and  labrid  populations 
with  large  territorial  terminal  phase  males  that  have 
preferred  mating  status,  and  nonterritorial  initial 
phase  males  that  have  nonpreferred  breeding  status 
(Warner  and  Robertson  1978;  Robertson  and 
Warner  1978).  Hermaphroditic  populations  of  the 
serranid  Anthias  squamipinnis  in  the  Gulf  of  Eilat 
have  two  behaviorally  distinct  types  of  males,  a 
dominant  territorial  male  that  actively  courts,  inter- 


acts, and  spawns  with  females,  and  smaller  males 
that  do  not  interact  or  spawn  with  females  in  the 
social  group.  The  latter  male  category  have  filamen- 
tous degenerative  gonads  (Popper  and  Fishelson 
1973;  Fishelson  1975).  These  mating  systems  are 
characterized  by  strong  sexual  selection  and  main- 
tenance of  reproductive  territories  by  males,  and  by 
being  reef  systems  in  which  fish  are  habitat  limited. 
Tilefish  are  also  severely  habitat  limited,  i.e.,  to  bur- 
rowable  clay  substrate  generally  (Able  et  al.  1982; 
Grossman  et  al.  1985;  Grimes  et  al.  1986). 

During  the  period  we  studied  reproduction,  the 
fishery  for  tilefish  was  rapidly  expanding,  and  one 
effect  of  fishing  seems  to  have  been  to  alter  the 
structure  of  the  mating  system.  Based  upon  both 
age-structured  and  non-age-structured  population 
modeling,  tilefish  population  density  was  reduced 
by  about  one-half  to  two-thirds  from  1978  to  1982, 
apparently  due  to  the  rapid  expansion  of  the  com- 
mercial longline  fishery  (Turner  1986).  Female  size, 
and  particularly  age,  at  maturity  do  not  seem  to 
have  been  altered  in  any  consistent  fashion  by  the 
population  reduction  from  fishing.  Males,  on  the 
other  hand,  appear  to  have  experienced  profound 
changes  in  visually  assessed  maturity;  they  clearly 
were  mature  at  smaller  size  (10  cm)  and  younger 
age  (2-2.5  years)  in  1982  than  in  1978. 

We  interpret  the  decrease  in  size/age  of  maturity 
in  males  to  be  the  effect  of  fishing.  Fishing  lowered 
population  density,  and  in  so  doing  may  have  made 
mating  territories  available  to  smaller  and  younger 
males.  This  interpretation  is  supported  by  the  find- 
ings of  Warner  and  Robertson  (1978)  and  Robert- 
son and  Warner  (1978)  that  the  ratio  of  the  two 
categories  of  sexually  mature  males  (initial  and  ter- 
minal phase)  in  western  Caribbean  scarid  and  labrid 
populations  was  density  dependent;  i.e.,  relatively 
more  initial  phase  males  were  found  in  dense  popu- 
lations. 

ACKNOWLEDGMENTS 

Our  tilefish  research  was  initiated  at  the  sugges- 
tion of  the  late  Lionel  A.  Walford.  We  tender 
grateful  appreciation  to  the  following  individuals 
and  institutions  for  their  assistance  in  this  research. 
Joseph  Desfosse,  Susan  Shepherd,  Gary  Shepherd, 
and  Stuart  Katz  helped  extract  data  from  samples. 
Richard  Trout  and  Bruce  Babiarz  provided  statis- 
tical and  histological  advice,  respectively.  Fran 
Puskus,  Louis  Puskus,  John  Larsen,  and  the  fisher- 
men of  Barnegat  Light  and  Sea  Isle  City,  NJ  coop- 
erated in  obtaining  tilefish  samples.  Daniel  Erickson 


759 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


and  an  anonymous  reviewer  provided  useful 
editorial  comments.  Support  for  this  research  was 
provided  by  New  Jersey  Sea  Grant  (RF-2),  the  New 
Jersey  Agricultural  Experiment  Station  (AES 
12409),  and  the  Center  for  Coastal  and  Environmen- 
tal Studies,  Rutgers  University. 


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762 


A  FIELD  METHOD  FOR  DETERMINING  PREY  PREFERENCE  OF 

PREDATORS 

N.  B.  Hargreaves^ 


ABSTRACT 

A  new  field  method  for  determining  prey  preferences  of  fish  that  feed  on  juvenile  salmon  is  described. 
The  basic  elements  of  this  method  consist  of  capturing,  tagging  or  marking,  and  releasing  prey  with 
known  characteristics,  and  comparing  these  characteristics  with  those  of  tagged  prey  subsequently 
recovered  from  the  stomachs  of  predators.  The  feasibility  of  this  approach  is  illustrated  by  two  experiments 
conducted  in  1985,  designed  to  assess  prey  size  preferences  of  predators  feeding  on  juvenile  pink  salmon 
during  the  early  sea-life  period.  The  results  indicate  that  yearling  coho  salmon,  Oncorhynchus  kisutch, 
were  size  selective  when  feeding  on  juvenile  pink  salmon,  0.  gorbuscha,  preferring  the  smaller  prey. 
A  major  advantage  of  this  method  is  that  it  eliminates  the  need  to  determine  the  abundances  of  various 
prey  t\T)es  in  the  field.  It  also  allows  the  investigator  to  control  or  precisely  measure  many  of  the  variables 
that  are  known  to  affect  the  availability  of  prey  to  predators. 


Predation  plays  an  important  role  in  shaping  the 
ecological  structure  of  many  biological  systems.  One 
aspect  of  predation  that  has  attracted  considerable 
interest  is  the  observation  that,  when  offered  a 
choice  of  prey  types,  predators  typically  show  a  pref- 
erence for  one  of  them.  The  result  is  that  more  of 
the  preferred  prey  are  consumed  than  would  be  ex- 
pected, based  on  the  relative  abundances  of  the 
various  prey  types. 

There  have  been  many  attempts  to  quantify  the 
food  or  prey  preferences  of  predators  (e.g.,  Hess  and 
Swartz  1940;  Ivlev  1961;  Schneider  1981)  using  a 
wide  variety  of  mathematical  indices  of  preference 
(reviewed  by  Cock  1978;  Pearre  1982).  In  some 
situations,  however,  this  approach  clearly  is  not 
suitable.  For  example,  in  many  systems  the  relative 
abundances  and  species  composition  of  the  prey  can 
vary  substantially  over  the  normal  feeding  range  of 
the  predators.  This  is  particularly  evident  in  fish- 
eries, where  piscivorous  predators  and  their  prey 
are  often  very  mobile,  and  can  travel  considerable 
distances  during  even  a  single  feeding  period.  In 
such  cases,  the  proportions  of  the  various  prey  found 
in  the  stomachs  of  predators  may  result  from  varia- 
tions in  the  relative  concentrations  or  availability 
of  prey  over  the  extensive  area  searched  by  the 
predator,  rather  than  from  any  prey  preference.  It 
is  typically  very  difficult  to  determine  the  concen- 


^Department  of  Fisheries  and  Oceans,  Fisheries  Research 
Branch,  Pacific  Biological  Station,  Nanaimo,  B.C.  V9R  5K6, 
Canada. 


trations  and  species  composition  of  prey  over  such 
large  areas,  so  indices  of  preference  may  not  pro- 
vide much  insight  into  the  predation  process. 

The  purpose  of  this  paper  is  to  describe  a  new 
method  for  determing  the  prey  preference  of  pred- 
ators in  the  wild.  This  method  consists  of  a  field 
experiment  in  which  a  number  of  potential  prey  with 
known  characteristics  are  released.  These  prey  are 
tagged  prior  to  release  to  allow  positive  identifica- 
tion even  if  they  mix  with  other  prey  of  the  same 
type  after  they  are  released.  The  prey  preference 
of  the  predators  is  assessed  directly  by  comparing 
the  characteristics  of  the  tagged  prey  found  in  the 
stomachs  of  predators  with  those  of  the  prey  that 
were  released.  The  major  advantage  of  this  ap- 
proach is  that  the  relative  abundances  and  other 
characteristics  (species  ratios,  size  composition,  etc.) 
of  the  various  prey  types  are  known  in  advance  and 
additional  field  measurements  are  not  required.  In 
addition,  if  only  tagged  prey  are  compared,  there 
is  much  less  ambiguity  in  assessing  the  preference 
of  predators  for  each  type  of  prey  because  the  major 
alternative  explanations  are  eliminated.  Although 
applicable  to  a  wide  variety  of  predator-prey  inter- 
actions, the  details  and  potential  utility  of  this 
method  are  illustrated  by  two  experiments  con- 
ducted in  Masset  Inlet  and  Masset  Sound,  B.C., 
Canada.  In  both  cases  the  goal  was  to  test  the 
hypothesis  that  natural  fish  predators  were  size 
selective  when  feeding  on  juvenile  pink  salmon, 
Oncorhynchus  gorbuscha,  during  the  early  sea-life 
period. 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


763 


FISIIKKV  HlLl.KTIN:  VOL.  86,  NO.  4 


METHODS 

The  first  experiment  was  conducted  on  26  April 
and  the  second  experiment  during  6  and  7  June 
1985.  Pink  salmon  fry  were  captured  in  the  Yakoun 
River  during  10-18  April  using  two  inclined  plane 
traps  with  mouth  openings  of  1.1  m'^.  The  traps 
were  emptied  each  morning  and  the  pink  salmon 
transferred  by  truck  to  several  1  m^  net  pens  at- 


tached to  the  research  vessel  Velella,  anchored  at 
Marinelli  Point  (Fig.  1). 

All  pink  salmon  were  tagged  and  marked  to  allow 
positive  identification  after  they  were  released.  Dur- 
ing 15-18  April  6,000  pink  salmon  were  anesthe- 
tized with  tricaine-methanesulfonate  (MS-222)  and 
tagged  with  half-length  binary-coded  wire  tags  by 
an  experienced  tagging  crew.  Proper  placement  of 
each  tag  was  confirmed  by  passing  all  fish  through 


"%     ^'' 

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1                                           1                                           1 

Figure  1.— Chart  of  Masset  Inlet  showing  locations  of  first  (Marinelli  Point)  (A)  and  second 
(B)  releases  of  tagged  fish  and  saltwater  enclosure  (C)  used  to  hold  tagged  fish  until  required 
for  the  second  experiment. 


764 


HARGREAVES:  PREY  PREFERENCE  OF  PREDATORS 


a  2.54  cm  (1  inch)  diameter  Quality  Control  Device 
(QCD),  manulactured  by  Northwest  Marine  Technol- 
ogy^  (Shaw  Island,  WA  98286).  Samples  of  tagged 
fish  were  also  dissected  and  examined  visually  and 
microscopically  to  verify  tag  implantation.  Three 
thousand  of  these  pink  salmon  were  also  marked 
externally  by  amputating  either  the  left  or  right  pec- 
toral fin.  No  other  fins  were  amputated.  The  pur- 
pose of  the  fin  clipping  was  to  determine  which 
method  (nose  tag  or  fin  clip)  was  more  effective  for 
identifying  fish  recovered  from  the  stomachs  of 
predators. 

After  tagging  and  marking,  all  pink  salmon  were 
transferred  back  into  the  small,  saltwater  enclo- 
sures. On  20  April  the  three  thousand  tagged  but 
unmarked  pink  salmon  were  transferred  to  a  larger 
(51  m'^)  enclosure  anchored  near  the  southwest  end 
of  Masset  Inlet,  and  held  until  required  for  the  sec- 
ond experiment.  This  enclosure  was  shallowed  by 
hand  once  each  week  to  check  the  condition  of  the 
fish  and  cleaned  with  a  high-pressure  hose  every 
10-14  days  to  remove  algae  growing  in  the  meshes. 
The  food  supply  of  the  pink  salmon  held  in  this 
enclosure  was  not  controlled  and  consisted  of  what- 
ever came  through  the  meshes.  No  supplementary 
food  was  added.  Under  this  regime  the  pinks  re- 
mained very  active  and  appeared  healthy. 

The  first  experiment  was  initiated  at  1600  on  26 
April,  by  releasing  3,000  tagged  and  fin-clipped  pink 
salmon  at  Marinelli  Point.  A  sample  of  99  fish  was 
removed,  anesthetized  with  2-phenoxyethanol,  and 
the  live  fork  length  of  each  fish  measured  to  deter- 
mine the  size  distribution  of  fish  at  the  time  of 
release.  A  single  beach  seine  set  was  made  three 
hours  later,  in  the  immediate  vicinity  of  the  release 
site,  to  collect  a  sample  of  potential  predators. 

The  second  experiment  was  initiated  by  releasing 
1.800  tagged  pink  salmon  at  1130  on  6  June,  into 
the  boat  harbor  at  Masset  (Fig.  1).  None  of  these 
fish  were  fin-clipped.  A  sample  of  100  pink  salmon 
was  removed  prior  to  the  release,  and  each  fish 
measured  to  determine  the  size  distribution  of  fish 
at  the  time  of  release.  Two  beach  seine  sets  were 
made  to  collect  potential  predators  prior  to  the  time 
of  release,  the  first  at  0930  and  the  second  at  1015. 
A  total  of  sixteen  additional  sets  were  made  after 
the  release,  seven  between  1245  and  1826  on  6  June, 
and  nine  more  between  0900  and  1400  the  follow- 
ing day. 


The  beach  seine  used  to  capture  potential  pred- 
ators was  46  m  long  and  constructed  of  6.4  mm 
stretched  nylon  mesh.  All  potential  predators  were 
examined  immediately  after  capture.  Each  mea- 
sured fish  was  anesthetized  in  2-phenoxyethanol, 
and  the  stomach  contents  obtained  by  either 
hydraulic  flushing  or  dissection.  All  fish  remains  in 
the  stomach  contents  were  examined  visually  or 
microscopically  to  identify  prey  to  the  species  level, 
using  Hart  (1973)  as  a  general  reference  and  Phillips 
(1977)  to  identify  juvenile  salmon.  All  juvenile 
salmon  found  in  the  stomachs  of  predators  and  any 
live  juvenile  salmon  captured  along  with  the  pred- 
ators were  measured  (if  possible),  examined  for 
missing  fins,  and  passed  through  the  QCD  several 
times  to  determine  if  they  were  tagged. 

Yearling  coho  salmon,  Oncorhynchus  kisutch,  cap- 
tured on  the  first  day  of  the  second  experiment  were 
used  to  obtain  an  estimate  of  the  total  population 
of  coho  salmon  in  the  vicinity  of  the  release  site.  All 
coho  salmon  captured  on  6  June  were  retained, 
anesthetized  with  2-phenoxyethanol,  and  marked 
using  a  hot-wire  branding  device.  At  2000  on  6  June, 
these  coho  were  sorted  to  remove  any  that  did  not 
appear  healthy  and  fully  recovered,  and  the  remain- 
ing 170  were  released.  All  coho  captured  the  follow- 
ing day  were  inspected  to  determine  if  they  were 
marked.  The  numbers  of  marked  and  unmarked 
coho  were  used  to  derive  a  simple  (single  census) 
Petersen  estimate  of  the  total  population  of  year- 
ling coho  salmon  in  the  vicinity  of  the  release  site 
using  the  following  equation  (Ricker  1975): 


A^ 


{M  +  1)  (C  +  1) 
(R  +  1) 


(1) 


^Reference  to  trade  name  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


where  A^  =  total  number  of  coho  salmon  at  time 
of  marking 

M  =  number  of  coho  salmon  marked  and 
released  on  6  June 

C  =  total  number  of  coho  salmon  captured 
on  7  June 

R  =  number  of  marked  coho  salmon  recap- 
tured on  7  June. 

The  95%  confidence  interval  for  the  population 
estimate  was  obtained  by  substituting  into  this  equa- 
tion the  fiducial  limits  of  the  number  of  recaptured 
coho  salmon,  from  tables  of  the  Poisson  distribution 
(Ricker  1975).  These  figures  were  used  to  estimate 
the  total  number  of  tagged  pink  salmon  eaten  by 
coho  salmon  in  the  second  experiment,  using  the 
equation 


765 


FISHERY  HTLLKTIN:  VOL.  8«.  NO.  4 


T  =  (P  *  N)/E 


(2) 


where    T  =  total  number  of  pink  salmon  eaten 
P  =  total  number  of  pink  salmon  in  all 

stomachs  examines 
N  =  estimated  total  population  of  coho 

salmon,  from  Equation  (1) 
E  =  total  number  of  stomachs  examined. 

RESULTS 

The  3,000  tagged  and  marked  pink  salmon  re- 
leased at  Marinelli  Point  on  26  April  ranged  in  size 
from  34  mm  to  41  mm,  with  an  average  of  38  mm 
(Table  1).  A  total  of  57  juvenile  sockeye  salmon  {On- 
corhynchus  nerka),  5  pink  salmon,  2  chum  salmon 
(0.  keta),  4  starry  flounder  (Platichthys  stellatus), 
1  sturgeon  poacher  {Agonies  acipenserinus),  and  210 
yearling  coho  salmon  were  captured  in  the  single 
beach  seine  set  done  after  the  tagged  fish  were 
released.  All  five  pink  salmon  had  been  fin-clipped 
and  tagged.  Three  of  these  pinks  had  fork  lengths 
of  37  mm  and  the  other  two  were  both  38  mm  long. 
The  two  chum  salmon  had  fork  lengths  of  41  mm 


and  40  mm.  The  four  starry  flounders  and  single 
sturgeon  poacher  were  all  small  and  were  imme- 
diately released.  All  210  coho  salmon  were  measured 
and  their  stomach  contents  examined  for  evidence 
of  predation  on  juvenile  pink  salmon.  A  total  of  90 
coho  salmon  had  remains  of  fish  in  their  stomachs, 
including  51  pink  salmon,  1  chum  salmon,  and  14 
juvenile  salmon  that  could  be  identified  only  as 
either  pink  or  chum  salmon,  due  to  extensive 
digestion  (Table  2).  One  additional  coho  salmon  had 
eaten  two  Pacific  sandlance,  Anmiodytes  hexapterus, 
but  all  other  fish  remains  were  too  digested  to 
positively  identify.  Out  of  the  23  tagged  pink  salmon 
found  in  the  stomachs  of  these  coho  salmon,  only 
18  were  sufficiently  intact  to  permit  measurements 
of  their  fork  length  (Table  2).  The  average  length 
of  these  pink  salmon  was  significantly  less  {t  =  8.02; 
P  <  0.001)  than  the  average  length  of  the  pink 
salmon  that  were  released  (Fig.  2).  Twelve  of  the 
eighteen  tagged  and  measurable  pink  salmon  found 
in  the  stomachs  of  the  coho  were  clearly  missing  a 
pectoral  fin.  The  pectoral  fins  of  all  the  other  fish 
were  too  digested  to  be  certain  whether  or  not  they 
had  been  fin-clipped.  The  average  length  of  the  12 


Table  1  .—Characteristics  of  tagged  juvenile  pink  salmon  released  in  each  experiment  and  those  subsequently  recovered  by 
beach  seining.  Nr  =  no.  released;  Ns  =  no.  fish  in  prerelease  sample;  Min  =  minimum  fork  length;  Max  =  maximum  fork 
length;  X  =  mean  fork  length;  C.I.  =  95%  confidence  interval  forX;  Nc  =  no.  of  tagged  salmon  recaptured  by  beach  seining; 
H  =  no.  hours  after  release  of  tagged  fish. 


Tagged  fish  released 

Tagged  fish 

recaptured 

Date 

Species 

Nr         Ns      Min      Max        X 

C.I. 

Species 

Nc 

Min 

Max 

X 

C.I. 

H 

4/26/85 

pink 

3,000        99       34        41        38.1 

37.9-38.4 

pink 

5 

37 

38 

37.4 

36.7-38.1 

1.5 

6/6/85 

pink 

1,800      100       36        51        44.4 

43.8-44.9 

pink 

3 

42 

46 

44.3 

39.2-49.5 

1-3 

pink 

12 

40 

50 

44.7 

42.7-46.6 

3-5 

pink 

4 

40 

47 

42.8 

38.0-47.5 

5-7 

pink 

0 

— 

— 

— 

— 

21-26 

Table  2.— Number  and  size  of  juvenile  salmon  found  in  stomachs  of  predators  in  each  experiment.  Sets  =  no. 
beach  seine  samples;  S  =  no.  of  stomachs  examined;  N  =  total  no.  juvenile  salmon  in  stomachs;  Nc  =  no.  of 
tagged  fish  in  stomachs;  Nm  =  no.  of  tagged  fish  whose  fork  length  could  be  measured;  Min  =_minimum  fork  length; 
Max  =  maximum  fork  length;  X  =  average  fork  length;  C.I.  =  95%  confidence  interval  forX;  JS  =  juvenile  pink 
or  chum  salmon. 


Date 

No. 
sets 

Predator 

S 

Juvenile  salmon  found  in 

predator  stomachs 

Experi- 
ment 

All  salmon 
Species       N 

Tagged  salmon  only 

Nc 

Nm 

Min 

Max 

X 

C.I. 

1 
2 

4/26/85 
6/6/85 

1 
16 

coho 

coho 
staghorn 
Dolly  Varden 

210 

374 
24 
15 

pink 

chum 

JS 

pink 
pink 
pink 

51 

1 

14 

17 
0 
0 

23 
0 
0 

15 

18 
15 

34 
36 

38 

45 

35.6 
40.7 

35.0-36.2 
39.3-42.1 

766 


HARGREAVES:  PREY  PREFERENCE  OF  PREDATORS 


26- 


19 


cc 


5- 


b 


34       35        36       37        38       39       40       41        42 

FORK    LENGTH   (mm) 

Figure  2.— Size-frequency  distribution  of  sample  of  tagged  pink 
salmon  released  in  the  first  experiment  (A)  and  all  tagged  pink 
salmon  subsequently  recovered  from  stomachs  of  predators  (B). 


fin-clipped  fish  was  35.4  mm,  which  is  not  signifi- 
cantly different  {t  =  0.47;  P  >  0.50)  from  the  aver- 
age length  of  the  18  tagged  and  measurable  pink 
salmon. 

Pink  salmon  released  in  the  second  experiment 
ranged  in  size  from  36  to  51  mm  fork  length,  with 
an  average  of  44.4  mm  (Table  1).  A  total  of  1  juvenile 
sockeye  salmon,  1  juvenile  chum  salmon,  28  year- 
ling coho  salmon,  6  Pacific  staghorn  sculpin  {Lep- 
tocottus  armatus),  10  Pacific  herring  (Clupea 
harengus  pallasi),  approximately  500  larval  walleye 
pollack  (Theragra  chalcogramma),  20  Pacific  snake 
prickleback  (Lumpenus  sagitta),  1  red  Irish  lord 
{Hemilepidotus  hemilepidotus),  6  Dolly  Varden 
(Salvelinus  malma),  and  10  starry  flounder  were 
captured  in  the  2  beach  seine  sets  done  before  the 
release.  Examination  of  the  stomach  contents  of  all 
the  coho  salmon,  five  staghorn  sculpins,  the  red  Irish 
lord,  and  all  the  Dolly  Varden  provided  no  indica- 
tion that  any  of  these  fish  had  recently  eaten  juvenile 
pink  or  chum  salmon.  The  seven  additional  beach 
seine  sets  done  on  6  June  after  the  release  of  the 
tagged  pink  salmon  captured  a  total  of  271  coho 
salmon,  33  Dolly  Varden,  46  staghorn  sculpin,  2 
coastal  cutthroat  trout  {Salmo  clarki  clarki),  55  pink 
salmon,  and  3  chum  salmon.  Nineteen  pink  salmon 
had  been  tagged  (Table  1).  All  the  untagged  pinks 
were  larger. 


The  stomach  contents  of  246  coho  salmon,  14 
Dolly  Varden,  and  16  sculpins  were  examined.  There 
was  no  evidence  that  any  of  the  Dolly  Varden  or 
sculpins  had  eaten  any  juvenile  pink  or  chum  salmon, 
although  one  sculpin  had  eaten  a  juvenile  coho 
salmon.  However,  13  of  the  coho  salmon  had  eaten 
a  total  of  17  juvenile  pink  salmon,  of  which  15  had 
been  tagged.  The  head  was  missing  from  one  of  the 
two  untagged  pink  salmon  so  it  could  not  be  mea- 
sured, but  the  fork  length  of  the  other  was  51  mm. 
The  tagged  pink  salmon  found  in  the  stomachs  of 
the  coho  salmon  were  typically  the  smaller  ones  (Fig. 
3),  with  an  average  length  significantly  less  {t  = 
5.06;  P  <  0.001)  than  the  average  length  of  all  pink 
salmon  that  were  released  in  this  experiment  (Table 

2). 

No  juvenile  salmon  were  found  in  the  stomachs 
of  predators  captured  on  7  June.  A  total  of  1  juvenile 
pink  salmon,  141  yearling  coho  salmon,  1  Dolly 
Varden,  and  115  staghorn  sculpins  were  captured 
in  9  beach  seine  sets.  The  pink  salmon  was  not 
tagged  and  none  of  these  predators  had  recently 
eaten  any  juvenile  pink  or  chum  salmon.  Five  of  the 
coho  salmon  had  been  branded,  so  the  estimated 
total  population  of  coho  salmon  in  the  vicinity  of  the 
release  site  was  4,047,  with  a  95%  confidence  inter- 


14- 

10- 

cr 

LJ 

m     6 

-z. 
2-1 


36         38        40        42        44        46        48 

FORK      LENGTH    (mm) 


50        52 


Figure  3.— Size-frequency  distribution  of  sample  of  tagged  pink 
salmon  released  in  the  second  experiment  (A)  and  all  tagged  pink 
salmon  subsequently  recovered  from  stomachs  of  predators  (B). 


767 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


val  of  1,912  to  9,339.  Based  on  these  figures,  it  is 
estimated  that  coho  salmon  consumed  a  total  of  162 
(9%)  of  the  tagged  pink  salmon  released  on  6  June, 
with  a  95%  confidence  interval  ranging  from  76  (4%) 
to  375  (21%). 

DISCUSSION 

Determining  the  prey  preference  of  predators  in 
the  wild  is  an  important  but  difficult  problem.  The 
two  experiments  reported  here  illustrate  a  new  ap- 
proach to  determining  the  selectivity  of  predators 
in  the  wild.  Aside  from  logistic  problems,  the  suc- 
cess of  this  method  depends  on  the  validity  of  four 
main  assumptions:  1)  predators  that  are  captured 
and  examined,  and  their  stomach  contents,  are  truly 
representative  of  the  total  predator  population  of 
interest;  2)  tagging  or  marking  the  prey  does  not 
result  in  abnormal  behavior  of  either  the  prey  or 
predators;  3)  ingestion  and  partial  digestion  of  the 
prey  by  the  predators  does  not  significantly  alter 
the  characteristics  of  the  prey  that  are  of  primary 
interest;  4)  all  of  the  tagged  prey  remain  equally 
"available"  to  the  predators  for  the  duration  of  the 
experiment. 

The  first  assumption  should  be  valid  if  the  sam- 
pling program  is  appropriately  designed,  consider- 
ing the  statistical  tests  that  will  be  used  to  analyze 
the  data.  This  is  a  complex  topic  and  an  in-depth 
discussion  is  beyond  the  scope  of  this  paper.  How- 
ever, many  extensive  references  are  available  (e.g., 
Anderson  and  McLean  1974;  Cochran  1977;  Mont- 
gomery 1976). 

The  two  experiments  reported  here  were  designed 
only  to  demonstrate  the  utility  of  this  approach  and 
do  not  clearly  show  how  generally  applicable  the 
results  are.  Only  a  small  number  of  tagged  fish  were 
released  and  samples  of  predators  were  collected 
with  a  beach  seine,  which  undoubtedly  is  biased  to 
some  degree  in  terms  of  the  species  and  sizes  of  fish 
that  were  captured.  In  addition,  the  samples  were 
collected  at  only  one  location  in  the  first  experiment 
and  over  a  relatively  small  area  in  the  second  experi- 
ment. However,  extensive  sampling  and  examina- 
tion of  the  stomach  contents  of  fish  predators  over 
a  3-yr  period  indicates  that  yearling  coho  salmon  are 
the  major  predators  of  juvenile  pink  salmon  through- 
out Masset  Inlet  and  Masset  Sound  (Hargreaves  in 
press).  The  results  of  these  two  experiments  are  also 
consistent  with  those  obtained  from  enclosure  ex- 
periments, which  indicate  that  yearling  coho  salmon 
are  size  selective  when  feeding  on  juvenile  pink  or 
chum  salmon  (Parker  1971;  Hargreaves  and  LeBras- 


seur  1986).  Thus,  although  quite  limited  in  scope, 
these  two  experiments  provided  results  that  are  con- 
sistent with  those  obtained  by  two  other  indepen- 
dent, but  considerably  more  expensive  and  labori- 
ous, methods. 

The  assumption  that  tagging  and  marking  the 
prey  does  not  affect  the  behavior  of  predators  or 
prey  can  be  assessed  either  by  direct  observation 
or  by  conducting  additional  experiments.  In  some 
cases  it  may  be  possible  to  design  the  experiment 
to  allow  observation  of  both  the  predators  and  prey 
throughout  the  experiment  and  directly  observe  any 
unusual  behavior.  However,  in  many  cases,  addi- 
tional experiments  will  probably  be  required.  For 
the  two  experiments  reported  here,  the  pink  salmon 
used  in  the  first  experiment  were  tagged  and  fin- 
clipped;  the  fish  released  in  the  second  experiment 
were  tagged  but  were  not  fin-clipped.  The  results 
of  the  first  experiment  indicate  that  tagging  was 
more  effective  than  fin-clipping  for  recognizing  fish 
recovered  from  the  stomachs  of  predators.  In  terms 
of  behavioral  changes,  previous  work  indicated  that 
the  mortality  of  tagged  and  untagged  juvenile 
salmon  was  not  significantly  different  when  exposed 
to  predators  and  that  tagging  juvenile  salmon  had 
no  noticeable  affect  on  the  behavior  of  either  the 
predators  or  prey  (Hargreaves  and  LeBrasseur 
1986).  However,  the  tagged  fish  used  in  these  en- 
closure experiments  were  not  fin-clipped. 

Earlier  studies  have  indicated  that  amputation  of 
fins  from  juvenile  salmon  typically  results  in  lower 
survival  rates  (Ricker  1949).  Marked  pink  salmon 
fry  also  suffer  higher  mortality  than  unmarked  fry, 
possibly  due  to  a  bias  on  the  part  of  predators  for 
marked  prey  (Parker  et  al.  1963).  This  is  not  a  major 
concern  in  the  two  experiments  reported  here  be- 
cause the  intent  was  to  determine  the  size  selectivity 
of  predators,  rather  than  any  selectivity  for  marked 
or  unmarked  prey.  In  addition,  fin-clipped  pink 
salmon  were  used  only  in  the  first  experiment  but 
predators  consumed  significantly  more  of  the 
smaller  prey  in  both  experiments.  This  supports  the 
assertion  that  fin-clipping  the  pink  salmon  did  not 
substantially  affect  the  prey  size  selectivity  of  the 
predators.  In  general,  the  possibility  that  the  results 
of  these  types  of  experiments  may  not  apply  to  un- 
tagged or  unmarked  prey  can  be  eliminated  by  using 
only  tags  or  marks  that  are  known  to  have  negli- 
gible effects  on  the  behavior  of  both  the  prey  and 
predators. 

The  third  assumption,  that  ingestion  and  partial 
digestion  of  the  prey  by  the  predators  does  not  sig- 
nificantly alter  the  important  characteristics  of  the 


768 


HARGREAVES:  PREY  PREFERENCE  OF  PREDATORS 


prey,  can  often  be  directly  verified.  For  the  two  ex- 
periments reported  here,  prey  size  (fork  length)  was 
the  characteristic  that  was  most  important.  The 
observed  difference  between  the  average  length  of 
the  tagged  prey  that  were  released  and  the  tagged 
prey  subsequently  recovered  from  the  stomachs  of 
predators  was  2.5  mm  (6.6%)  in  the  first  experiment, 
and  3.7  mm  (8.3%)  in  the  second  experiment.  These 
are  small  differences,  and  the  possibility  that  they 
might  be  due  to  experimental  error  rather  than 
predator  selectivity  must  be  considered.  All  length 
measurements  were  made  to  the  nearest  millimeter 
and  numerous  remeasurements  indicated  that  mea- 
surement errors  were  negligible  at  this  level  of  ac- 
curacy. To  eliminate  the  possibility  that  the  length 
of  the  tagged  fish  might  decrease  if  they  were  pre- 
served (Parker  1963),  live  fish  were  used  to  deter- 
mine the  length-frequency  distribution  of  the  prey 
prior  to  release  and  all  prey  recovered  from  the 
stomachs  of  predators  were  immediately  measured. 
Burgner  (1962)  reported  that  the  length  of  sockeye 
salmon  smolts  decreased  by  2-3%  because  of  rigor 
mortis  alone.  However,  experiments  conducted  in 
Masset  Inlet  in  1984  indicated  much  smaller  changes 
occur  after  death  in  juvenile  pink  salmon.  At  tem- 
peratures of  9°-10°C,  the  average  length  of  26 
juvenile  pink  salmon  of  known  length,  fed  to  and 
subsequently  recovered  from  the  stomachs  of  19 
yearling  coho  salmon,  decreased  less  than  1%  for 
periods  of  up  to  four  hours  after  ingestion  (Har- 
greaves  unpubl.  data).  In  the  two  experiments  re- 
ported here,  numerous  beach  seine  sets  were  made 
to  capture  potential  predators,  but  all  of  the  tagged 
pink  salmon  found  in  their  stomachs  were  recovered 
within  four  hours  of  the  releases  of  tagged  prey. 
Shrinkage  of  the  prey  after  ingestion  therefore  can 
account  for  only  a  small  portion  of  the  observed 
differences  in  size  between  the  prey  that  were 
released  and  those  that  were  found  in  the  stomachs 
of  predators. 

The  fourth  assumption,  that  all  tagged  or  marked 
prey  remain  equally  "available"  to  predators 
throughout  the  experiment,  will  usually  prove  to  be 
the  most  difficult  to  assess  and  verify.  The  avail- 
ability of  prey  to  predators  frequently  depends  on 
characteristics  of  the  predators  (hunger  level,  visual 
acuity,  mobility,  body  or  gape  size,  individual  or 
group  behavior,  etc.),  the  prey  (abundance,  colora- 
tion, size,  speed,  endurance,  behavior,  etc.),  and  the 
environment  (habitat  complexity,  light  conditions, 
etc.).  These  parameters  can  interact  in  a  complex 
manner,  so  that  it  is  typically  only  in  the  simplest 
situations  that  all  factors  that  affect  the  availabil- 


ity of  prey  to  a  predator  can  be  thoroughly  inves- 
tigated and  understood  (Curio  1976;  Zaret  1980). 

Predators  consumed  significantly  more  of  the 
smaller  prey  in  both  experiments  reported  here, 
despite  substantial  differences  in  the  physical  char- 
acteristics of  the  two  release  sites,  time  of  year,  and 
various  characteristics  of  the  predators  (abundance, 
species  composition,  size,  feeding  history,  etc.).  This 
suggests  that  the  availability  of  prey  to  the  preda- 
tors was  not  substantially  affected  by  variations  in 
the  characteristics  of  either  the  predators  or  the  en- 
vironment. It  also  appears  reasonable  to  assume 
that  prey  of  all  sizes  remained  equally  available  to 
predators  during  both  experiments.  All  of  the 
tagged  prey  were  one  species  and  received  identical 
treatment  prior  to  release.  There  is  no  reason  to 
think  there  were  any  substantial  differences  in  the 
physical  characteristics  among  the  prey  at  the  time 
of  release,  aside  from  the  desired  variation  in  size. 

It  is  conceivable,  however,  that  differences  in  prey 
behavior  or  size  might  have  indirectly  influenced  the 
availability  of  prey  to  the  predators.  For  example, 
extensive  sampling  of  juvenile  salmon  in  Masset 
Inlet  has  indicated  a  tendency  for  larger  pink  salmon 
to  be  concentrated  further  offshore  than  smaller 
pink  salmon  during  the  early  sea-life  period  (Har- 
greaves  et  al.  1987a,  b).  Swimming  speeds  of  salmon 
are  also  known  to  increase  rapidly  with  increasing 
body  size  (Brett  1965).  Thus,  if  there  was  any 
tendency  for  tagged  salmon  to  rapidly  swim  away 
from  the  release  sites,  larger  fish  may  have  left 
quicker  than  smaller  fish.  The  result  could  be  a 
decrease  in  the  average  size  of  tagged  salmon  found 
in  the  immediate  vicinity  of  the  release  site  and  the 
incorrect  conclusion  that  predators  were  selective- 
ly feeding  on  the  smaller  prey. 

In  fact,  however,  this  possibility  appears  unlike- 
ly. In  both  experiments  the  size  of  the  live,  tagged 
fish  recovered  along  with  the  predators  was  not 
significantly  different  than  the  size  of  the  fish  that 
had  been  released  as  much  as  nine  hours  earlier 
(Table  1).  There  is  also  no  indication  that  the  mean 
size  of  these  fish  changed  in  a  consistent  manner 
over  the  course  of  the  second  experiment.  These 
results  suggest  that,  if  there  was  any  segregation 
of  tagged  prey  after  release,  it  was  probably  minor 
and  did  not  appreciably  affect  the  availability  of  prey 
to  the  predators. 

In  general,  complications  arising  from  variations 
in  the  availability  of  prey  to  the  predators  may  be 
reduced  or  eliminated  by  limiting  the  duration  of  the 
experiment.  If  all  of  the  prey  are  released  at  one 
time  and  location,  it  is  reasonable,  and  in  most  cases 


769 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


probably  valid,  to  assume  that  all  prey  are  equally 
available  to  any  predators  captured  in  the  immediate 
vicinity  a  short  time  later.  The  amount  of  time  dur- 
ing which  the  prey  subsequently  remain  equally 
available  to  predators  will  likely  vary  from  one  situa- 
tion to  the  next.  If  the  prey  are  very  mobile,  prob- 
ably some  will  eventually  become  less  or  more  acces- 
sible to  predators  than  others.  This  possibility  can 
be  eliminated  or  at  least  minimized  by  keeping  the 
experiment  short  enough  to  ensure  that  the  prey  do 
not  have  sufficient  time  to  segregate  or  move  away 
from  the  release  site.  The  magnitude  of  this  prob- 
lem and  thus  the  appropriate  duration  for  each  ex- 
periment may  be  assessed  by  recapturing  some  of 
the  tagged  prey  after  the  release.  The  experiment 
should  be  terminated  when  the  characteristics  of  the 
recaptured  prey  begin  to  diverge  significantly  from 
those  of  the  original  prey  population. 

Determining  the  prey  preference  of  predators  in 
the  wild  is  a  concern  to  many  biologists.  All  methods 
of  determining  the  prey  selectivity  of  predators  in 
the  wild  are,  and  will  likely  continue  to  be,  hampered 
by  the  complexity  of  the  related  problem  of  deter- 
mining the  relative  "availability"  of  prey  to  pred- 
ators. The  advantage  of  the  method  proposed  here 
is  that  it  allows  the  investigator  to  control  some  of 
the  major  variables  that  are  known  to  affect  the 
availability  of  prey.  The  most  important  character- 
istics of  the  prey  (species  ratios,  abundance,  size 
ranges,  etc.)  can  be  determined  before  any  preda- 
tion  occurs  and  in  many  cases  can  also  be  precisely 
controlled.  The  predators  remain  free  to  feed  on  all 
types  of  prey  in  the  study  area,  but  for  the  purposes 
of  the  investigator,  the  choice  of  prey  can  effectively 
be  reduced  to  those  with  known  characteristics  and 
origin.  This  is  a  major  advantage  when  compared 
with  the  more  traditional  approach  of  calculating 
selectivity  indices,  as  it  eliminates  the  need  to  deter- 
mine the  relative  abundances  of  prey  in  the  field. 
It  also  substantially  reduces  the  ambiguity  associ- 
ated with  interpreting  selectivity  indices  for  highly 
mobile  predators,  where  typically  there  is  little  or 
no  information  available  concerning  the  area 
traveled  by  the  predator  during  the  feeding  period 
and  thus  what  prey  were  actually  available  to  the 
predator. 

The  specific  goal  of  the  two  experiments  reported 
here  was  to  determine  if  predators  were  size  selec- 
tive when  preying  on  juvenile  pink  salmon  during 
the  early  sea-life  period.  The  results  indicate  that 
yearling  coho  salmon  were  the  dominant  predator 
of  juvenile  pink  salmon  at  two  locations,  one  in 
Masset  Inlet  and  the  other  in  Masset  Sound,  and 


that  the  average  size  of  juvenile  pink  salmon  con- 
sumed by  these  predators  was  significantly  less  than 
the  average  size  of  pink  salmon  that  were  released. 
These  results  are  consistent  with  those  obtained 
from  two  other  independent  approaches  and  suggest 
this  method  may  be  a  viable  and  cost-effective  alter- 
native for  determining  the  prey  preferences  of  pred- 
ators in  the  wild.  It  may  be  particularly  useful  for 
assessing  prey  preferences  of  predators  feeding  on 
juvenile  salmon  near  hatchery  facilities  in  Canada 
and  the  United  States,  where  millions  of  juvenile 
salmon  are  currently  tagged  and  released  each  year. 

ACKNOWLEDGMENTS 

Suggestions  and  comments  from  an  anonymous 
reviewer  are  greatly  appreciated.  Robin  LeBrasseur 
and  Owen  Kennedy  assisted  with  the  supervision  of 
the  field  experiments  and  analyses  of  the  stomach 
samples.  Bruce  Patten,  Lui  Marinelli,  Tom  Poole, 
Josette  Weir,  Rick  Hobbs,  Ted  Carter,  and  Bob 
Hungar  helped  to  capture,  tag,  and  sort  the  juvenile 
salmon  and  assisted  in  the  beach  seining  and  pro- 
cessing of  samples  collected  in  the  various  experi- 
ments. Trans-Provincial  Airlines  generously  per- 
mitted unlimited  use  of  their  seaplane  wharf  and 
other  facilities  at  Masset,  B.C.  to  conduct  the  sec- 
ond experiment  during  6  and  7  June  1985. 


LITERATURE  CITED 

Anderson,  V.  L.,  and  R.  A.  McLean. 

1974.    Design  of  experiments:  A  realistic  approach.    Marcel 
Dekker  Inc.,  N.Y. 
Brett,  J.  R. 

1965.  The  relation  of  size  to  rate  of  oxygen  consumption  and 
sustained  swimming  speed  of  sockeye  salmon  (Oncorhynchus 
nerka).    J.  Fish.  Res.  Board  Can.  22:1491-1501. 

BURGNER,  R.  L. 

1962.    Studies  of  red  salmon  smolts  from  the  Wood  River 
Lakes,  Alaska.    In  T.  S.  Y.  Koo  (editor),  Studies  of  Alaska 
red  salmon.    Univ.  Wash.  Publ.  Fish.  N.W.  I(6)-251-316. 
Cock,  M.  J.  W. 

1978.    The  assessment  of  preference.    J.  Anim.  Ecol.  47:805- 
816. 
Cochran,  W.  G. 

1977.    Sampling  techniques.    3d  ed.    John  Wiley  and  Sons, 
N.Y.,  428  p. 
Curio,  E. 

1976.    The  ethology  of  predators.    Springer- Verlag,  N.Y.,  250 

P- 
Hargreaves,  N.  B. 

In  press.    Predation  of  juvenile  pink  (Oticorhynchus  gorbuscha) 
and  chum  (0.  keta)  salmon  in  Masset  Inlet,  B.C.    Can.  J. 
Fish.  Aquat.  Sci. 
Hargreaves,  N.B.,  E.  W.  Carter,  and  R.  J.  LeBrasseur. 
1987a.    Beach  seine  catches  of  juvenile  salmon  and  other  fish 


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HARGREAVES:  PREY  PREFERENCE  OF  PREDATORS 


in  Masset  Inlet  and  Masset  Sound,  B.C.,  in  1984.    Can.  Data 
Rep.  Fish.  Aquat.  Sci.  640,  79  p. 

HARGREAVES,  N.  B.,  AND  R.  J.  LeBRASSEUR. 

1986.  Size  selectivity  of  echo  salmon  (Oncorhynchus  kisutch) 
salmon  preying  on  juvenile  chum  salmon  (0.  keta).  Can.  J. 
Fish.  Aquat.  Sci.  43:581-586. 

HARGREAVES,  N.  B.,  B.  A.  PaTTEN,  AND  R.  J.  LeBRASSEUR. 

1987b.    Beach  seine  catches  of  juvenile  salmon  and  other  fish 
in  Masset  Inlet  and  Masset  Sound,  B.C.  in  1985.    Can.  Data 
Rep.  Fish.  Aquat.  Sci.  632,  256  p. 
Hart,  J.  L. 

1973.    Pacific  fishes  of  Canada.    Fish.  Res.  Board  Can.  Bull. 
180,  74  p. 
Hess,  A.  D.,  and  A.  Swartz. 

1940.    The  forage  ratio  and  its  use  in  determining  the  food 
grade  in  streams.    Trans.  5th  North  Am.  Wildl.  Conf.,  p. 
162-164. 
Ivlev,  V.  S. 

1961.    Experimental  ecology  of  the  feeding  of  fishes.    Yale 
Univ.  Press,  New  Haven. 
Montgomery,  D.  C. 

1976.    Design  and  analysis  of  experiments.    John  Wiley  and 
Sons,  N.Y.,  418  p. 
Parker,  R.  R. 

1963.    Effectsof  formalin  on  length  and  weight  of  fishes.    J. 


Fish.  Res.  Board  Can.  20:1441-1455. 
1971.    Size  selective  predation  among  juvenile  salmonid  fishes 
in  a  British  Columbia  inlet.    J.  Fish.  Res.  Board  Can.  28: 
1503-1510. 
Parker,  R.  R.,  E.  C.  Black,  and  P.  A.  Larkin. 

1963.    Some  aspects  offish  marking  mortality.    Int.  Comm. 
Northwest  Atl.  Fish.  Spec.  Publ.  No.  4,  p.  117-122. 
Pearre.  S.,  Jr. 

1982.    Estimating  prey  preference  by  predators:  uses  of 
various  indices  and  a  proposal  of  another  based  on  x^-    Can. 
J.  Fish.  Aquat.  Sci.  39:914-923. 
Phillips,  A.  C. 

1977.    Key  field  characteristics  identifying  young  marine 
Pacific  salmon.    Fish.  Mar.  Serv.  Tech.  Rep.  746,  13  p. 
RiCKER,  W.  E. 

1949.    Effect  of  removal  of  fins  upon  the  growth  and  survival 

of  spiny-rayed  fishes.    J.  Wildl.  Manage.  13:29-40. 
1975.    Computation  and  interpretation  of  biological  statistics 
offish  populations.    Bull.  Fish.  Res.  Board  Can.  191,  382  p. 
Schneider,  D.  C. 

1981.    Size-selective  predation  of  mysids  by  birds.    Mar.  Ecol. 
Prog.  Serv.  5:223-224. 
Zaret,  T.  M. 

1980.    Predation  and  freshwater  communities.    Yale  Univ. 
Press,  New  Haven,  CT,  187  p. 


771 


EXPERIMENTAL  MANIPULATION  OF  POPULATION  DENSITY  AND 
ITS  EFFECTS  ON  GROWTH  AND  MORTALITY  OF  JUVENILE 
WESTERN  ROCK  LOBSTERS,  PANULIRUS  CYGNUS  GEORGE 

Richard  F.  Ford/  Bruce  F.  Phillips, ^  and  Lindsay  M.  Joll^ 

ABSTRACT 

A  density  manipulation  experiment  was  conducted  at  Seven  Mile  Beach,  Western  Australia,  to  compare 
growth  and  mortality  for  different  density  groups  of  juvenile  western  rock  (spiny)  lobsters,  Panulirus 
cygniis,  inhabiting  limestone  patch-reefs.  Juveniles  on  a  control  reef  were  left  at  their  natural,  high  den- 
sities while  those  on  a  treatment  reef  were  reduced  to  approximately  25%  of  the  original,  natural  density 
by  trapping  and  reintroduction,  which  maintained  the  original  size-frequency  distribution.  Mark-recapture 
studies  were  conducted  on  each  reef  at  three  monthly  intervals  for  a  year  to  estimate  size-specific  growth 
rates,  population  densities,  and  mortality  rates.  Direct  counts  of  individuals  were  made  by  divers  to 
estimate  total  numbers  of  juveniles  on  each  reef.  There  were  no  statistically  significant  differences  in 
growth  rates  for  any  age  category  between  the  control  and  treatment  reefs,  but  there  were  significant 
differences  in  size-specific  mortality  rates  between  the  treatment  and  control  groups,  with  much  lower 
mortality  on  the  treatment  reef.  Our  results  suggest  that  markedly  reduced  densities  of  juveniles  on 
a  reef  may  lead  to  a  corresponding  reduction  in  mortality,  but  no  effect  on  growth  was  evident.  However, 
part  of  the  apparently  higher  mortality  on  the  control  reefs  may  instead  have  been  due  to  emigration 
of  tagged  individuals  to  other  reefs.  The  difficulties  of  conducting  manipulation  experiments  in  the  field 
on  a  highly  mobile  species  are  discussed. 


The  western  rock  (spiny)  lobster,  Panulirus  cygnus, 
occurs  on  the  coast  of  Western  Australia  from  North 
West  Cape  (lat.  22  °S)  to  Cape  Naturaliste  (lat. 
34°  S).  Juveniles  (2-5  years  old)  inhabit  the  coastal 
limestone  reefs,  primarily  at  depths  of  1-10  m  (Chit- 
tleborough  and  Phillips  1975).  They  remain  on  the 
reefs  for  several  years,  apparently  with  little  move- 
ment from  one  area  to  another  (Chittleborough 
1974a).  Joll  and  Phillips  (1984)  found  that  the  juve- 
niles feed  on  a  variety  of  animals  and  plants  asso- 
ciated with  the  seagrass  beds  surrounding  the  reefs. 
Following  the  spring  molt,  larger  animals  (ages  4-6) 
move  to  the  adult  habitats  in  depths  of  30-150  m 
(Morgan  et  al.  1982). 

Chittleborough  (1970)  observed  that,  near  the 
center  of  the  geographical  range,  recruitment  of 
small  juveniles  appeared  to  exceed  the  holding  capa- 
city of  the  reef  system.  He  concluded  that  density- 
dependent  mortality  of  the  juveniles  at  such  sites 
limits  their  recruitment  to  the  adult  stock.  He  also 
observed  reduced  growth  rates  of  animals  at  these 


'Department  of  Biology,  San  Diego  State  University,  San  Diego, 
CA  92182. 

^Division  of  Fisheries  Research,  CSIRO  Marine  Laboratories, 
P.O.  Box  20,  North  Beach,  6020,  Australia. 

^Fisheries  Department,  W.  A.  Marine  Research  Laboratories, 
P.O.  Box  20.  North  Beach,  6020,  Australia. 


sites  and  considered  that  the  available  food  re- 
sources may  be  inadequate  for  the  maintenance  of 
optimum  growth  at  such  high  densities. 

Although  there  have  been  many  field  studies  on 
the  ecology  of  spiny  lobsters  (see  review  by  Kanciruk 
1980),  none  have  attempted  experimental  manipu- 
lation to  elucidate  the  effects  of  population  density 
on  growth  and  survival.  This  paper  considers  the 
growth  and  survival  of  juvenile  P.  cygnus  inhabiting 
experimental  and  control  patch-reefs  at  Seven  Mile 
Beach,  following  a  manipulation  designed  to  reduce 
the  density  of  juveniles  of  the  experimental  reef.  The 
hypothesis  to  be  tested  was  that  high  population 
densities  of  juvenile  lobsters  limit  the  growth  and 
survival  of  the  western  rock  lobsters.  Despite  its  in- 
herent practical  problems,  a  manipulation  approach 
was  adopted  as  the  one  most  likely  to  yield  direct 
evidence  to  evaluate  the  hypothesis. 

Manipulation  experiments  are  best  done  using  rep- 
licated experimental  areas  and  both  increases  and 
decreases  in  the  density  of  the  species  under  con- 
sideration (Connell  1974;  Underwood  1979).  How- 
ever, where  species  (such  as  lobsters)  cannot  be 
transplanted  or  enclosed  effectively,  the  only  prac- 
tical option  is  to  simply  reduce  densities  (Connell 
1983).  In  the  case  of  the  study  described  here,  there 
are  also  practical  limitations  in  finding  sufficiently 


Manuscript  accepted  June  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


773 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


similar  experimental  areas  to  employ  as  replicates 
and  in  selecting  control  reefs  which  are  equivalent 
to  the  premanipulation  condition  of  experimental 
reefs.  In  this  experiment  juveniles  on  one  reef, 
selected  as  the  control  site,  were  left  at  natural,  high 
densities,  while  those  on  another,  selected  as  the 
treatment  site,  were  reduced  to  approximately  25% 
of  their  original,  natural  density.  A  third  reef,  also 
left  at  its  natural  high  density,  was  monitored  at  a 
lower  level  to  examine  the  degree  of  representative- 
ness of  the  control. 

METHODS 

Reef  Study  Sites 

Three  limestone  patch-reefs  at  Seven  Mile  Beach, 
Western  Australia  (lat.  29°08'S;  long.  114°54'E), 
designated  as  reefs  I,  III,  and  V  (Fig.  1),  were  used 
as  the  study  sites.  These  three  test  reefs  are  typical 
of  those  at  Seven  Mile  Beach  in  terms  of  both  their 
structure  and  biota.  Observations  by  divers  also  in- 
dicated that  the  size  structure  of  P.  cygnus  on  each 
reef  was  similar.  The  patch-reefs  occupy  a  lagoon 
environment  between  the  beach  and  a  limestone  bar- 
rier reef  approximately  400  m  offshore.  Each  patch- 
reef  is  surrounded  by  a  calcareous,  sandy  substrate 
and  areas  of  limestone,  which  both  support  exten- 


sive seagrass  beds  of  mixed  species  composition,  the 
primary  feeding  areas  for  juvenile  P.  cygnus  (Cobb 
1981;  Joll  and  Phillips  1984).  Seagrass  species  of  the 
genera  Amphibolis,  Heterozostera,  and  Halophila 
dominate  in  these  beds.  The  reefs  themselves  are 
covered  by  Amphibolis  spp.  and  by  a  variety  of  algal 
species. 

The  approximate  area  of  reef  III,  the  treatment 
reef,  is  0.104  ha,  and  that  of  reef  V,  the  main  con- 
trol reef,  is  0.103  ha.  Reef  I,  the  secondary  control 
reef,  has  an  area  of  approximately  0.071  ha.  Reef 
I  is  located  approximately  750  m  south  of  reef  V, 
while  reef  III  is  located  approximately  60  m  direct- 
ly west  and  offshore  from  reef  V  (Fig.  1).  Adequate 
separation  of  the  treatment  and  control  reefs  from 
each  other  for  the  purposes  of  the  experiment  was 
assumed,  based  on  maximum  foraging  ranges  of  up 
to  50  m  for  P.  cygnus  in  the  Seven  Mile  Beach  area 
reported  by  Chittleborough  (1974a).  Water  depths 
are  2-3  m  around  reefs  I  and  V  and  3-5  m  around 
reef  III.  The  tops  of  the  reefs  are  nearly  exposed 
at  low  tide. 

Single  Molt  Increments,  Annual 
and  Seasonal  Growth 

The  numbers  of  juvenile  P.  cygnus  from  each  reef 
which  were  sexed,  measured,  and  marked  or  re- 


FlGURE  1.— Map  of  study  area  at  Seven  Mile  Beach,  Western  Australia,  showing  the  locations  of  reefs,  I,  III,  and  V  (dark  shaded)  in 

relation  to  other  reefs  (light  shaded). 


774 


FORD  ET  AL.:  POPULATION  OF  WESTERN  ROCK  LOBSTERS 


moved  in  January  1981  at  Seven  Mile  Beach  are 
given  in  Table  1 .  Animals  with  carapace  lengths  (CL) 
^40  mm  were  marked  with  individually  numbered 
western  rock  lobster  tags  (Chittleborough  1974b). 
Animals  with  CL  <40  mm  were  marked  with  in- 
dividually numbered  Floy^  No.  FD-68B  spaghetti 
tags  (Davis  1978).  Growth  data  were  obtained  from 
tagged  individuals  recaptured  on  the  three  test  reefs 
during  resampling  in  February,  March,  May,  Aug- 
ust, and  September  1981,  and  January  and  February 
1982.  Growth  of  tagged  P.  cygnus  between  recap- 
tures over  the  period  January  to  May  was  used  to 
provide  data  on  single  molt  increments. 

Size  and  Age  Structure 

Age  classes  were  identified  from  length-frequency 
distributions,  as  described  by  Chittleborough  (1970) 
and  Chittleborough  and  Phillips  (1975).  From  anal- 
ysis of  the  size  structure  present  in  January  1981, 
juveniles  up  to  38.0  mm  CL  were  judged  to  be  2 
years  of  age  at  that  time;  38.1-55.0  mm,  3  years 
of  age;  55.1-68.0  mm,  4  years  of  age;  and  those 
>68.1  to  be  5  years  of  age  or  older.  Similarly  for 


■•Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


January  1982,  animals  up  to  42.5  mm  CL  were  con- 
sidered to  be  2  years  of  age  at  that  time;  42.6 
mm-55.0  mm,  3  years  of  age;  those  55.1-68.0  mm 
to  be  4  years  of  age;  and  those  >68.1  to  be  5  years 
of  age  or  older. 

Population  Size,  Density,  and 
Mortality  Rates 

Estimates  of  the  population  size,  density,  and  mor- 
tality rates  of  P.  cygnus  juveniles  on  reef  I  have  been 
made  at  Seven  Mile  Beach  since  1970,  using  recap- 
tures from  baited  traps  (Chittleborough  1970;  Chit- 
tleborough and  Phillips  1975).  These  estimates  for 
reef  I  were  continued  during  the  period  of  this  study 
on  reef  I  and,  in  addition,  estimates  were  also  under- 
taken for  reefs  III  and  V,  using  the  same  traps  and 
mark-recapture  methods.  In  the  present  study, 
12-13  traps  were  set  around  the  perimeter  of  each 
test  reef  to  ensure  catches  directly  from  the  area 
of  the  reef.  At  each  sampling  time  an  array  of  12-13 
traps  was  set  simultaneously  around  reefs  III  and 
V  in  an  attempt  to  reduce  attraction  by  traps  of  P. 
cygnus  from  one  reef  to  another. 

During  the  initial  tagging  in  January  1981,  trap- 
ping was  conducted  on  each  reef  for  four  consecu- 
tive days,  while  during  each  subsequent  recapture 


Table  1  .—Numbers  of  juvenile  Panulirus  cygnus  examined  on  three  reefs  at  Seven  Mile  Beach. 

Western  Australia. 


Sampli 

ng  dates 

Reef 

1981 

1981 

1981 

1981 

1981 

1981 

1982 

1982 

9-10 

6-7 

26-27 

21-22 

26-27 

26-27 

Jan. 

Feb. 

Mar. 

May 

Aug. 

Sept. 

Jan. 

Feb. 

Reef  1 

No.  caught 

463 

447 

— 

— 

362 

300 

498 

419 

No.  tagged 

463 

— 

— 

— 

— 

— 

— 

— 

No.  recaptured 

— 

103 

— 

— 

98 

72 

88 

^5 

11-15 

4-7 

10-11 

5 

24-25 

19-20 

24-25 

23-25 

Jan. 

Feb. 

Mar. 

May 

Aug. 

Sept. 

Jan. 

Feb. 

Reef  III 

No.  caught 

1,202 

785 

475 

233 

221 

359 

791 

862 

No.  tagged 

304 

— 

— 

— 

— 

— 

— 

— 

No.  removed 

from  reef 

898 

306 

150 

— 

— 

— 

— 

— 

No.  recaptured 

— 

'  + 

+ 

54 

52 

55 

204 

'13 

11-15 

4-7 

10-11 

5 

24-25 

19-20 

24-25 

23-25 

Jan. 

Feb. 

Mar. 

May 

Aug. 

Sept. 

Jan. 

Feb. 

Reef  V 

No.  caught 

141 

682 

596 

424 

599 

631 

703 

696 

No.  tagged 

1,141 

— 

— 

— 

— 

— 

— 

— 

No.  recaptured 

— 

278 

214 

154 

212 

285 

140 

28 

'Additional  to  those  recaptured  in  January  1982. 

2+    =  not  scored. 


775 


FISHERY  Kl'LLETIN:  VOL.  8H,  NO.  4 


period  trapping  was  conducted  for  two  consecu- 
tive days.  The  single  mark-recapture  estimate  of 
Bailey  (1951)  was  used  to  calculate  population 
sizes. 

Visual  Estimates  of  Population 
Size 

Direct  estimates  of  the  total  number  of  juveniles 
present  on  each  test  reef  were  made  by  two  divers 
during  the  day.  Initially  the  surface  of  each  test  reef 
was  mapped,  and  the  map  was  transferred  to  ace- 
tate writing  sheets  for  use  underwater,  so  that 
major  features  such  as  crevices,  holes,  and  sections 
of  ledges  could  be  recognized  and  searched  in  a 
uniform  manner  during  each  census.  The  two  divers 
moved  slowly  around  and  over  the  reef,  counting 
and  recording  juvenile  P.  cygnus.  Underwater  lights 
were  used  to  aid  in  this  process.  Repeated  counts 
were  often  necessary  to  obtain  consistent  results  for 
sections  of  the  reef  with  large  aggregations  of  juve- 
niles. One  diver  followed  approximately  2-3  m 
behind  the  other,  and  after  each  section  of  the  reef 
was  censused,  the  numbers  of  juvenile  P.  cygnus 
recorded  by  the  two  divers  were  compared.  Only 
three  observers  conducted  all  of  the  visual  censuses 
and,  after  experience  was  gained  initially,  differ- 
ences between  total  counts  by  any  two  divers  on  a 
reef  usually  were  less  than  5%.  Counts  by  the  two 
divers  were  compared  for  12  of  these  censuses, 
employing  separate  Wilcoxon  signed-rank  tests  in 
which  the  data  recorded  by  each  diver  for  a  given 
section  of  the  reef  were  paired.  The  results  for  all 
12  censuses  indicated  no  significant  differences  in 
counts  between  divers  {P  >  0.05). 

There  are  two  primary  sources  of  error  in  this 
method.  One  is  that  few  individuals  <40  mm  CL  can 
be  seen  on  the  surface  of  the  reef  or  in  holes  or  crev- 
ices. The  other  results  from  reduced  visibility  caused 
by  turbidity  and  water  turbulence.  This  second  prob- 
lem was  largely  avoided  by  only  doing  counts  when 
conditions  of  turbidity  and  water  turbulence  were 
favorable. 

During  January-June  1981  and  October  1981- 
February  1982,  visual  density  estimates  were  ob- 
tained monthly  or  bimonthly  in  reefs  III  and  V. 
However,  storm  conditions  and  poor  visibility 
during  the  remainder  of  1981  precluded  observa- 
tions. Visual  density  estimates  were  conducted  on 
reef  I  during  January  1981  and  in  January  and 
February  1982,  while  in  January  and  February 
1983  estimates  were  conducted  on  all  three  test 
reefs. 


Density  Manipulation  Experiment 

All  of  the  juvenile  P.  cygnus  caught  on  reefs  I  and 
V  (the  control  reefs)  in  January  1981  were  tagged, 
measured,  and  released.  On  reef  III  (the  treatment 
reef)  1,202  P.  cygnus  were  caught  during  four  con- 
secutive days  in  January  1981  and  graded  into  size 
categories  (5  mm  CL  size  intervals).  This  was  done 
by  measuring  the  animals  and  holding  them  in  water 
in  mesh  bags  suspended  from  the  side  of  the  boat 
during  the  2-3  hours  required  for  processing. 

To  reduce  the  population  of  lobsters  on  reef  III 
by  approximately  75%,  three  out  of  each  four  ani- 
mals in  each  size  group  were  removed  from  the  reef 
and  translocated  to  another  locality  out  of  the  Seven 
Mile  Beach  area.  Selection  was  done  by  removing 
the  appropriate  number  of  individuals  from  each  size 
category  blindly  to  avoid  bias.  This  helped  to  assure 
that  the  groups  of  juveniles  returned  to  reef  III  had 
a  size  frequency  and  sex  ratio  similar  to  those  of  the 
original  population.  The  remaining  304  juveniles 
caught  from  reef  III  were  remeasured,  tagged,  and 
released  on  that  reef.  During  the  next  two  sampling 
periods  in  February  and  March  1981,  any  untagged 
P.  cygnus  caught  on  reef  III  were  removed  (Table 
1)  to  aid  in  maintaining  the  density  at  approximately 
25%  of  its  natural  level. 


Analysis  of  the  Growth  Data 

Two  types  of  growth  data  were  examined:  1)  the 
single  molt  increments  of  animals  with  <4  legs  miss- 
ing (based  on  the  growth  of  animals  recaptured 
within  four  months  of  a  previous  capture)  (Chittle- 
borough  1976),  and  2)  the  average  relative  growth 
rate  (Sandland  and  McGilchrist  1979),  which  has 
been  shown  to  be  appropriate  for  analyses  of  P. 
cygnus  growth  (Phillips  et  al.  1983).  The  data  were 
classified  by  reef,  sex,  age  class,  duration,  and  time 
of  year  at  liberty  and  by  the  number  of  legs  miss- 
ing at  the  time  of  tagging. 

The  average  relative  growth  rate  data  of  P.  cygnus 
were  condensed  into  a  three-factor  nonorthogonal 
experimental  design  with  missing  cells.  The  data 
were  analyzed  by  examining  differences  in  growth 
between  test  reefs  for  each  age  and  recapture  inter- 
val, using  the  Wilcoxon  rank  sum  test,  and  by  ex- 
amining age,  recapture  interval  effects,  and  their 
interaction  in  a  two-factor  nonorthogonal  analysis 
of  variance. 

In  addition  to  P.  cygnus  caught  on  the  reef  of 
original  tagging,  75  individuals  (12%)  were  recap- 
tured on  both  reefs  III  and  V.  The  data  for  the  49 


776 


FORD  ET  AL.:  POPULATION  OF  WESTERN  ROCK  LOBSTERS 


of  these  which  showed  growth  between  tagging  and 
recapture  were  initially  analyzed  separately. 

Chittleborough  (1970)  found  that  loss  of  more 
than  three  legs  depressed  growth.  This  was  con- 
firmed for  our  data  by  an  analysis  comparing  the 
average  relative  growth  rates  of  P.  cygnus  in  the 
two  leg-loss  classes  (<3  legs  missing  and  >i  legs 
missing),  using  a  f-test.  There  was  a  significant  dif- 
ference in  growth  rates  between  the  two  leg-loss 
classes  {P  >  0.05).  Although  this  difference  is  con- 
founded with  differences  in  the  other  factors,  the 
result  was  considered  as  sufficient  evidence,  when 
combined  with  Chittleborough's  findings,  to  exclude 
from  further  analysis  data  for  P.  cygnus  with  >4  legs 
missing. 

A  further  analysis  was  performed  to  determine 
if  the  growth  rates  of  males  and  females  differed. 
These  analyses  were  done  separately  for  each 
reef,  age  class,  and  recapture  interval,  using  the 
Wilcoxon  rank  sum  test.  The  results  revealed  no 
significant  differences  in  average  relative  growth 
rates  between  the  sexes  (P  >  0.05),  so  the  data  for 
males  and  females  of  the  same  age  group  were 
pooled. 

RESULTS 

Of  the  304  tagged  P.  cygnus  on  reef  III,  186 
(61.2%;  87  males  and  99  females)  were  never  recap- 
tured, while  of  the  1,141  animals  tagged  on  reef  V, 
636  (55.7%;  324  males  and  312  females)  were  never 
recaptured.  Similarly,  of  the  463  P.  cygnus  tagged 
in  January  1981  on  reef  I,  307  (66.3%;  162  males 
and  145  females)  were  never  recaptured.  Compari- 
son of  the  size  ranges  and  size-frequency  distribu- 
tions of  P.  cygnus  tagged  on  the  three  reefs  in 
January  1981  with  those  not  recaptured  (Fig.  2) 
indicated  that  the  "losses"  were  distributed  equal- 
ly over  the  full  size  range  and  therefore  may  be 
assumed  to  be  random.  Ratios  of  males  and  fe- 
males in  these  "losses"  did  not  differ  significantly 
from  the  malerfemale  ratios  in  the  original  tagged 
population  (chi-square  test  of  independence,  P  > 
0.05). 

None  of  the  tagged  P.  cygnus  on  reef  I  were  recap- 
tured on  reef  III  or  V.  However,  75  (12%)  of  the 
tagged  P.  cygnus  either  on  reef  III  or  V  were  subse- 
quently recaptured  on  the  other  reef,  and  some  were 
caught  several  times  on  reefs  III  and  V.  However, 
only  four  of  the  animals  originally  tagged  on  reef 
III  were  ever  recaptured  on  reef  V,  suggesting  a 
general  movement  of  P.  cygnus  from  reef  V  to  reef 
III,  i.e.,  inshore  to  offshore. 


Size  and  Age  Structure 

The  size-frequency  distributions  of  P.  q/g^ntts  juve- 
niles on  reef  I  in  January  1981  and  January  1982 
and  that  of  the  juveniles  recaptured  in  January  1982 
are  shown  in  Figure  3.  Similarly,  the  size-frequency 
distributions  of  juveniles  on  reefs  III  and  V  in  Jan- 
uary, May,  and  September  1981  and  in  January  1982 
are  shown  in  Figure  4.  There  was  change  in  the  com- 
position of  the  population  on  reef  I  between  Janu- 
ary 1981  and  1982,  indicating  immigration  of  2-  and 
3-yr-old  animals  into  the  population  of  this  reef. 
Between  January  and  September  1981  there  was 
an  indication  of  immigration  of  untagged  animals 
to  both  reefs  III  and  V,  principally  of  animals  ^3 
years  of  age,  while  in  January  1982  there  was  also 
an  obvious  immigration  of  2-yr-old  animals  to  both 
reefs. 


Population  Size,  Density,  and 
Mortality  Rates 

The  estimates  of  population  size,  density,  and  mor- 
tality rates  for  P.  cygnus  juveniles  >3  years  of  age 
on  reefs  I,  HI,  and  V  are  given  in  Table  2.  The 
estimate  made  for  the  population  on  reef  III  in  Feb- 
ruary 1981  assumes  that  the  304  tagged  P.  cygnus 
released  in  January  were  still  within  the  population 
in  February. 

The  population  densities  of  >3-yr-old  juveniles  on 
reef  I  estimated  each  January  from  1970  to  1982 
are  shown  in  Figure  5.  The  density  in  January  1981, 
at  the  time  the  study  began,  was  the  highest  ever 
recorded.  The  density  in  January  1982  was  also  very 
high  and  only  exceeded  by  the  levels  in  January  1974 
and  January  1981. 

The  annual  mortality  coefficient  for  juveniles  aged 


Table  2— Population  size,  population  density  and  mortality-rate 
estimates  for  juvenile  Panulirus  cygnus  >3  years  of  age  on  three 
test  reefs  at  Seven  Mile  Beach,  Western  Australia. 


'Reef  1 

^Reef  III 

^Reef  V 

(0.071  ha) 

(0.104  ha) 

(0.103  ha) 

Date 

Population    SD 

Population    SD 

Population    SD 

Jan,  1981 

1,990        170 

2,192         194 

2,644         120 

Feb. 1981 

—            — 

1,879         195 

—             — 

Aug. 1981 

625           38 

725           54 

1 ,042           40 

Jan. 1982 

1 ,273           93 

1,951           92 

1,841          101 

'Annual  instantaneous  mortality  coefficient  for  those  >3  years  in  1981 
1.655 

^Annual  Instantaneous  mortality  coefficient  for  tfiose  >3  years  in  1981 
1.302. 

^Annual  instantaneous  mortality  coefficient  for  tfiose  >3  years  in  1981 
1.825. 


777 


FISHERY  BULLETIN:  VOL,  86,  NO.  4 


60-, 
50- 
40- 
30- 
20- 
10- 


REEF  I 

TOTAL  NUMBER  463 

ALL  TAGGED 

NOT  RECAPTURED 


_■  __  ^*-         _;  ,^        .,  . :  «i  -^  //-,         ,.r^         , — :  IM  m^         rf\        fr\         I \ 


O'^CMtDCOOCM^CDcnOCNJ 


■*     CD    CO     O 

h-   r^    r^    oD 


CO 

{I. 

LU 

h- 
<S) 

m 
O 


O 
cc 

LU 
CD 


REEF  III 
TOTAL  1 202 
DTAGGED  304 
REMOVED 
NOT  RECAPTURED 


u^Lnir)inincr>LninuitnuiLnLnij^ir)inu^ir)inir)iouiu7ini/^inir>Lnin 


■^(£)C0OCNJ'^^C0OC\J'<S-U3C0 


O     04     t     to     00    O 

Ln   LO    If)    in    lO  (O 


(O    CO 


(O 


O     CM     rj-     U3     OO    O 

t-^    r^    r^   r^    r^    co 


REEF  V 

TOTAL  1141 

ALL  TAGGED 

NOT  RECAPTURED 


Lnuiu^LOuiLnLOir)ur>LnLOuii-nLr)LOLr)u')LnLOLOLOir)Lnu')Lr)LOuo 
Tt(bo6c)c\ittcbcdoc\i'<s-cbc6oc>j    ■^cbc6oc\J'^uDopoc\J'^u3 

CVJCNJCNJCOCOnCDCO-^-^'S-'^'*"  '       ' 


ininLnLni/5tDcDCDcDCDf^r~r^i^ 


CARAPACE  LENGTH  (mm) 

Figure  2.— Size-frequency  distributions  of  juvenile  Panulirus  cygnus  in  January  1981  on  three  test  reefs 
(reefs  I,  III,  and  V)  at  Seven  Mile  Beach,  Western  Australia  and  size-frequency  distributions  of  animals 
removed  or  tagged.  Size-frequency  distributions  of  tagged  animals  not  subsequently  recaptured  also  are 
indicated. 


>3  years  on  reef  III  was  slightly  lower  than  that  for 
juveniles  on  reefs  I  and  V.  Comparison  of  the  esti- 
mates of  population  size  on  which  these  mortality 
coefficients  were  based  showed  that  annual  survival 
of  animals  ^3  years  old  was  significantly  higher  on 
reef  III  than  on  reef  V  (chi-square  test  of  indepen- 
dence, P  <  0.005). 


The  numbers  of  juveniles  tagged  and  released  on 
each  test  reef  in  January  1981  are  shown  in  Table 
1,  while  the  numbers  and  percentages  of  those  same 
individuals  recaptured  on  the  same  reef  in  January 
or  February  1982  are  summarized  in  Table  3  for 
each  age  group.  These  data  were  used,  in  part,  to 
provide  more  specific  estimates  of  age-specific  sur- 


778 


FORD  ET  AL.:  POPI'LATION  OF  WESTERN  ROCK  LOBSTERS 


vivorship  over  the  1-}t  period,  based  on  assumptions 
considered  later  in  this  paper.  A  striking  feature  of 
the  data  for  reef  III  is  the  very  high  percentage  of 
recaptures,  ranging  from  97.4  to  100%  for  3-,  4-, 
and  ^5-yr-old  individuals,  and  with  a  somewhat 
lower  value  of  58.1%  for  3-yr-old  animals.  Percent- 
age recaptures  for  all  age  groups  combined  were 
71.4%  on  reef  III,  as  compared  with  much  lower 


REEF 

JANUARY  1981 
ALL  TAGGED  463 


11 

in 

t/J 

C/D 

9 

< 

8 

_J 

O 

7 

LU 

6 

N 

5 

OD 

4 

Z 

3 

C/) 

? 

_l 

< 

1 

^ 

-z. 

< 

11 

II 

O 

10 

^ 

9 

vp 

o^ 

R 

^ — ' 

> 

7 

o 

R 

2 

IXI 

b 

Z) 

4 

O 

3 

LU 

OC 

2 

REEF  I 

JANUARY  1982 
TOTAL  CAUGHT  503 
TAG   RECAPTURES  93 


LnunLnunLnLnLnirjLninirjLOLnLnLnioun 


O^     OOOJUD      O'^OOCXJtDO'^OOCNJ      (X)0     ^ 

CNjojcMnco^TrM-LriLncDCDUDr^i-^cooo 

CARAPACE  LENGTH  (mm) 

Figure  3.— Size-frequency  distributions  of  juvenile  Panulirus 
cygnus  on  Reef  I  at  Seven  Mile  Beach.  Western  Australia,  in 
January  1981  and  1983. 


values  on  reef  V  (14.7%)  and  reef  I  (20.1%).  Sep- 
arate comparisons  employing  chi-square  tests  of  in- 
dependence indicated  that  the  number  of  juveniles 
recaptured  were  significantly  higher  on  reef  III  than 
on  reef  V  for  each  of  the  four  age  groups  {P  <  0.005). 

Visual  Estimates  of  Population 
Size 

Estimates  of  the  mean  total  numbers  of  P.  cygnus 
juveniles  on  the  three  test  reefs,  based  on  visual 
sampling  by  two  divers,  are  summarized  in  Table  4. 

The  data  for  reef  I  are  incomplete  but  show  a 
dramatic  decrease  from  265  on  10  January  1981  to 
66  on  19  January  1981.  There  was  also  an  overall 
reduction  from  265  in  January  1981  to  181  in  Janu- 
ary 1982  and  173  in  January  1983. 

The  data  for  reef  III  (Table  4)  indicate  that  re- 
moval of  P.  cygnus  by  trapping  on  11-15  January 
1981  reduced  the  number  of  juveniles  from  705  pres- 
ent on  10  January  to  about  half  of  that  number,  with 
395  (56%)  observed  on  19  January  and  346  (49%) 
on  3  February.  Further  removal  by  trapping  on  4 
and  5  February  1981  reduced  the  number  of  juve- 
niles to  approximately  29%  of  the  original  10  Janu- 
ary level  (205  observed  on  18  February). 

From  March  through  June  1981  the  mean  esti- 
mated numbers  of  juveniles  on  reef  III  varied  from 
189  to  260,  representing  approximately  27-48  (S 
=  36%)  of  the  original,  natural  population  level  ob- 
served on  10  January  1981  (Table  4).  By  January 
1982,  the  number  of  juveniles  on  reef  III  had  in- 
creased to  430,  or  approximately  61%  of  the  level 
observed  in  January  1981  and  by  January  1983  the 
number  had  increased  to  590  or  approximately  84% 
of  the  natural  level  two  years  before. 

The  numbers  of  juveniles  on  reef  V  were  rather 
more  variable,  ranging  from  a  low  of  72  (25  March 
1981)  to  a  high  of  780  (October  1981).  Of  special  im- 


Table  3— Number  and  percentage  of  juvenile  Panulirus  cygnus  tagged  in  each  age  class  on  three  reefs  at  Seven  Mile 
Beach,  Western  Australia,  in  January  1981,  and  the  numbers  present  and  recaptured  in  January  and  February  1982. 


Reef  1 

Reef  III 

Reef  V 

Age 

1981 

1982 

1981 

1981 

1982 

1981 

1981 

1982 

1981 

class 

No. 

Total  no. 

Recaptures 

No. 

Total  no. 

Recaptures 

No. 

Total  no. 

Recaptures 

(Yr) 

tagged 

caught 

No. 

% 

tagged 

caught 

No. 

% 

tagged 

caught 

No. 

12 

o/o 

2 

117 

260 

12 

10.3 

38 

227 

37 

97.4 

192 

338 

6.3 

3 

245 

196 

62 

24.4 

203 

375 

118 

58.1 

777 

267 

102 

13.1 

4 

77 

36 

14 

18.2 

57 

109 

56 

98.2 

149 

112 

45 

30.2 

>5 

15 

6 

5 

33.3 

6 

92 

6 

100.0 

23 

14 

9 

39.1 

Total 

463 

503 

93 

20.1 

304 

804 

217 

71.4 

1,141 

731 

168 

14.7 

'In  January  1981 


779 


FISHERY  KULLKTIN:  VOL.  8fi,  NO.  4 


REEF 

JANUARY  1981 
D TOTAL  CAUGHT  1202 
■  NUMBER  TAGGED  304 


CD  ■^    c6c\jcbo'^o6c\i(£>0'^ooc\icbo 


CD 
C/D 

O 

LU 
N 

CO 


C/5 
_l 
< 


REEF  III 

MAY  1981 

TOTAL  CAUGHT  233 

TAG  RECAPTURES  54 


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SEPTEMBER  1981 
TOTAL  CAUGHT  359 
TAG  RECAPTURES  55 


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Tf     OOCVJtOOTt     OOCvJtOO'^     OOCNJCOO'* 

c\ic\jcocoT}-TtTtinincotD(Ot-^r---oooo 


Figure  4.— Size-frequency  distributions  of  juvenile 
Panulirus  cygnus  on  reefs  III  and  V  at  Seven  Mile 


REEF  III 
JANUARY  1982 
TOTAL  CAUGHT  804 
TAG  RECAPTURES  217 


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CARAPACE  LENGTH  (mm) 


780 


FORD  ET  AL.:  POPLLATION  OF  WESTERN  ROCK  LOBSTERS 


REEF  V 
JANUARY  1981 
ALL  TAGGED  1141 


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MAY  1981 

TOTAL  CAUGHT  424 

TAG  RECAPTURES  154 


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SEPTEMBER  1981 
TOTAL  CAUGHT  631 
I  TAG  RECAPTURES  235 


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REEF  V 
JANUARY  1982 
TOTAL  CAUGHT  731 
TAG  RECAPTURES  168 


Figure  4— Continued— Beach.  Western  Australia, 
during  the  period  January  1981  through  January 
1982. 


inLniouniDLOLnLniounLnLOiDLnLn 
pTrgDc\i(£JOTtcoc\i<£)C3Tj-odc\jcD 
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CARAPACE  LENGTH  (mm) 


781 


FISHERY  BULLKTIN:  VOL.  86.  NO.  4 


portance  was  the  34%  decline  in  numbers  between 
10  January  and  18  February  on  reef  V.  By  mid- 
February  1981  the  estimated  population  on  reef  V 
was  below  that  on  reef  III.  The  mean  number  of 
animals  for  reef  V  in  February  1982  (401)  was  71% 
of  that  observed  in  January  1981  (563),  although  in 
October,  November,  and  December  1981  it  exceeded 
the  January  1981  level.  In  January  1983,  the  number 
of  juveniles  (537)  was  essentially  the  same  as  that 
observed  two  years  before  (Table  4). 


Figure  5.— Densities  of  3-yr-old  juvenile 
Panulirus  cygnus  in  January  on  reef  I  at 
Seven  Mile  Beach,  Western  Australia,  for  the 
period  1970  through  1982.  Mean  and  95% 
confidence  limits  are  shown.  Data  for 
1970-80  from  Morgan  et  al.  (1982). 


Table  4. — Mean  total  numbers  of  juvenile 
Panulirus  cygnus  on  three  test  reefs  at  Seven 
Mile  Beach,  Western  Australia,  based  on  visual 
estimates  made  by  two  observers.  —  =  no 
visual  estimate  made. 


Date 

Reef  1 

Reef  III 

Reef  V 

10  January  1981 

265 

705 

563 

19  January  1981 

66 

395 

286 

3  February  1981 

— 

346 

235 

18  February  1981 

— 

205 

191 

9,  13  March  1981 

— 

335 

227 

25  March  1981 

— 

189 

72 

23  April  1981 

— 

233 

220 

15,  17  June  1981 

— 

260 

451 

15  October  1981 

— 

374 

780 

19  November  1981 

— 

424 

680 

10  December  1981 

— 

321 

647 

29  January  1982 

181 

430 

— 

23  February  1982 

42 

474 

401 

11  January  1983 

173 

590 

537 

16  February  1983 

121 

521 

501 

29r 

28- 

27- 

26- 

CO 

JC 

25- 

n 

z 

24- 

CO 

23- 

ULI 

22- 

1- 

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18- 

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16- 

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1b- 

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13- 

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11  ■ 

10- 

9- 

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■f 


1970  71  72  73  74  75  76  77  78  79  80  81  82 
YEAR 


Growth 

Single  Molt  Increments 

Mean  single  molt  increments  of  male  and  female 
P.  cygnus  on  reefs  III  and  V,  the  treatment  and  con- 
trol reefs,  (Table  5)  showed  no  significant  difference 
within  either  the  2-,  3-,  or  4-yr-old  age-classes  (^test, 
P  >  0.05).  Only  four  animals  estimated  to  be  ^5  years 
of  age  were  recaptured  and  these  were  all  from  reef 
V.  After  pooling  the  molt  increment  data  for  the  two 
sexes  there  were  no  significant  differences  between 
the  mean  single  molt  increments  of  2-,  3-,  or  4-yr- 
old  animals  on  reefs  III  and  V  (^test,  P  >  0.05). 


Table  5.— Mean  molt  increments  in  carapace  length  (mm)  for  sex  age-class  groups 
of  juvenile  Panulirus  cygnus  from  three  test  reefs  at  Seven  Mile  Beach,  Western 
Australia  during  January-May  1981.    Data  are  mean  BE  (n). 


Age 
class 

Reef! 

Reef  III 

Reef  V 

Males 

Females 

Males 

Females 

Males 

Females 

2 

— 

— 

2.58(0.40) 

(5) 

1.84(0.11) 
(5) 

1 .75(0.28) 

(4) 

2.41(0.20) 
(10) 

3 

2.85(0.56) 
(6) 

1.74(0.21) 
(9) 

2.01(0.33) 
(16) 

1.76(0.15) 
(16) 

2.27(0.14) 
(76) 

2.17(0.26) 
(60) 

4 

— 

— 

2.75(0.61) 
(4) 

1.94(0.26) 
(5) 

3.17(0.26) 
(16) 

2.88(0.19) 
(18) 

782 


FORD  ET  AL.:  POPULATION  OF  WESTERN  ROCK  LOBSTERS 


The  data  from  reef  I,  the  secondary  control  reef, 
were  only  sufficient  for  an  examination  of  the  single 
molt  increments  of  3-yr-olds.  Within  this  age  class 
there  was  no  significant  difference  in  mean  molt  in- 
crement between  the  two  sexes  and  the  data  for  the 
whole  age  class  were  pooled.  There  were  no  signif- 
icant differences  between  the  mean  single  molt  in- 
crement for  3-yr-olds  from  reef  I  and  the  mean 
single  molt  increment  for  this  age  class  on  either 
reefs  III  or  V  (t-test,  P  >  0.05). 

Annual  and  Seasonal  Growth 

The  mark-recapture  data  from  reefs  I,  III,  and  V 
are  considered  within  four  time  periods:  From  Janu- 
ary 1981  to  May  1981  (the  "summer-autumn" 
period),  from  May  1981  to  September  1981  (the 
"winter"  period),  from  September  1981  to  Febru- 
ary 1982  (the  "spring-summer"  period)  and  from 
January  1981  to  January-February  1982  (the  "an- 
nual" growth  period).  As  described  in  Methods  sec- 
tion above,  average  relative  growth  rates  (ARGRs) 
of  males  and  females  were  not  significantly  differ- 
ent and  therefore  the  data  were  pooled.  Because  of 
the  small  number  of  ^5-yr-old  lobsters,  their  growth 
data  were  combined  with  the  data  for  the  4-yr-old 
individuals.  The  ARGRs  of  the  different  age  groups 


from  all  three  reefs  over  each  of  the  four  time 
periods  are  given  in  Figure  6. 

Comparison  of  growth  data  for  the  test  reefs  for 
each  age  group  and  recapture  interval  were  made 
using  Wilcoxon  rank  sum  tests.  The  primary  pur- 
pose was  to  evaluate  whether  growth  data  for  the 
three  reefs  could  be  pooled  for  later  analysis.  The 
comparisons  are  of  interest  in  their  own  right,  but 
caution  is  required  in  interpreting  some  of  the  dif- 
ferences established  because  of  small  sample  sizes 
in  some  cells. 

The  results  showed  no  significant  differences  in 
ARGRs  of  any  age  group  between  reefs  III  and  V 
(P  >  0.05),  the  treatment  and  the  principal  control 
reefs  respectively  in  the  density  manipulation  ex- 
periment. There  were  significant  differences  in 
ARGRs  between  reefs  I  and  III  for  individuals  3 
years  of  age  in  January-May  1981,  May-September 
1981,  and  January  1981 -January  1982  and  for  in- 
dividuals >4  years  of  age  in  January-May  1981. 
There  also  were  significant  differences  in  ARGRs 
between  reefs  I  and  V  for  individuals  3  years  of  age 
in  January-May  1981  and  May-September  1981, 
and  for  individuals  >A  years  of  age  in  January-May 
1981  (P  <  0.05).  The  significant  differences  all 
showed  consistently  higher  ARGRs  on  reef  I  than 
on  reefs  III  and  V. 


> 
2 

0) 

k- 

(U 
Ol 
(0 

4) 

> 

10 

c 

15 
4) 


JAN -MAY  81 

Reef  I         III       V 

0.20  r 


0.18 
0.16 
0.14 
0.12 
0.10 
0.08 
0.06 
0.04 
0.02 


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I   I   I  I   I   I   I  I  I   I  I 


MAY -SEPT.  81 
I  III         V 


i. 


1 1 1 1 1 1 1 


SEPT-JAN.  82       JAN.  81 -JAN.  82 
I  III         V  I  III         V 


I  I  I  ]  I 


I  I  I  I  I  I  I 


2  3?4  2  3?4  2  3*4  2  3*4  2  3?4  2  3*4   23*4   2  3*4  2  3*4  2  3*4  2  3*4  2  3*4 

Age   ( Years  ) 


Figure  6.— Average  relative  growth  rates  (ARGRs)  of  juvenile  Panulirus  cygmis 
on  test  reefs  at  Seven  Mile  Beach,  Western  Australia. 


783 


FISHERY  BULLKTIN:  VOL.  86,  NO,  4 


The  data  for  both  reefs  III  and  V  were  then 
pooled.  The  data  for  49  P.  cygnus  which  were  recap- 
tured on  reefs  III  and  V  were  included  in  this  set 
(Fig.  7).  Comparisons  of  these  combined  data  were 
made  with  the  data  for  reef  I,  and  the  results  in- 
dicate that  all  of  the  significant  differences  in 
growth  described  above  were  maintained  except 
that  for  3-yr-old  individuals  in  January  1981 -Janu- 
ary 1982.  The  lack  of  a  consistent  significant  differ- 
ence between  reefs  at  all  ages  and  recapture  inter- 
vals suggests  that  the  effect  is  not  a  simple  response 
to  a  superior  environment,  but  rather  that  interac- 
tions between  reef  and  age  and  between  reef  and 
recapture  interval  are  present. 

DISCUSSION 

The  density  manipulation  described  in  this  paper 
is  an  attempt  to  use  an  ecological  field  experiment 
in  a  nonbenign,  sub  tidal  habitat  to  study  the  popu- 
lation processes  of  a  spiny  lobster.  Practical  limita- 
tions within  this  environment  related  to  wave  effects 
on  drifting  plant  material  and  the  need  to  enclose 
enough  area  to  adequately  provide  for  the  foraging 
range  of  juvenile  P.  cygnus  precluded  the  use  of 
large  enclosures  which  would  have  effectively  pre- 
vented migration.  Also,  because  of  the  potential 
mobility  of  P.  cygnus,  it  was  not  possible  to  increase 


and  maintain  the  density  of  juveniles  above  natural 
levels  on  a  reef  without  such  an  enclosure.  There- 
fore, only  an  experimental  reduction  in  density  was 
attempted: 

1.  Data  from  the  visual  estimates  show  that  we 
were  successful  in  reducing  the  number  of  juve- 
nile P.  cygnus  on  reef  III  to  approximately  30% 
of  the  original,  natural  level  by  removing  animals 
in  January,  February,  and  March  1981.  Follow- 
ing the  last  removal,  the  estimated  numbers  of 
animals  varied,  but  showed  a  slow  increase  over 
the  1-yr  period  of  the  manipulation  experiment, 
with  a  mean  of  36%  of  the  original  January  level 
during  March  through  June  1981  and  a  mean  of 
55%  of  the  original  level  during  October  1981 
through  January  1982.  However,  the  number  of 
juveniles  on  both  reefs  I  and  V,  the  control  reefs, 
also  declined  during  this  period,  and  the  popula- 
tion on  reef  V  was  estimated  to  be  below  that 
of  reef  III  on  18  February  1981.  Therefore,  it  is 
difficult  to  separate  the  effects  of  the  systema- 
tic removals  from  a  general  decline  in  numbers 
indicated  by  what  was  observed  on  reefs  I  and  V. 
The  size  and  age  structures  and  the  sex  ratios 
of  P.  cygnus  juveniles  on  reefs  I,  III,  and  V  in 
January  1981  were  very  similar.  Size  and  age 
structures  and  the  sex  ratios  of  these  juveniles 


0.14  r- 


JAN  -  MAY  '81     MAY  -  SEPT  '81    SEPT  -  JAN  '82    JAN  '81  -  JAN  '82 


2 

0.12 

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3 

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> 

♦- 

n 

0.08 

V 

Ol 

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0) 

0.06 

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c 

to 

V 

0.04 

s 

0.02  - 


I 


I 


I 


I 


I 


I 


I 


3     *4  2      3     *4 

Age    (  years   ) 


3     ?4 


Figure  7.— Average  relative  growth  rates  (ARGRs)  of  juvenile  Panulinis 
cygnus  on  test  reefs  III  and  V  (combined)  at  Seven  Mile  Beach,  Western 
Australia. 


784 


FORD  ET  AL.:  POPl'LATION  OF  WESTERN  ROCK  LOBSTERS 


also  were  very  similar  among  the  reefs  at  all 
subsequent  sampling  times,  suggesting  that  the 
drastic  reduction  in  the  density  of  P.  cygnus  on 
reef  III,  and  the  method  of  reconstituting  the 
population,  did  not  have  an  evident  effect  on 
these  characteristics  over  the  1-yr  period  of  the 
experiment. 

2.  The  population  sizes  of  ^3-yr-old  P.  cygnus  juve- 
niles, estimated  from  catches  with  baited  traps, 
were  significantly  lower  on  reef  III  than  on  reef 
V  in  January  1981  and  August  1981,  but  were 
similar  (i.e.,  not  significantly  different)  in  Janu- 
ary 1982.  However,  these  data,  and  the  estimates 
of  mortality  derived  from  them,  are  subject  to 
the  usual  problems  associated  with  mark-recap- 
ture techniques.  Phillips  (unpubl.  data)  has  found 
in  more  recent  studies  that  the  baited  traps  are 
capable  of  attracting  juveniles  from  over  a  wide 
area  and  hence  the  population  size  and  density 
estimates  applied  to  individual  reefs  probably  are 
inaccurate.  However,  the  trends  in  the  popula- 
tion estimates  from  the  mark-recapture  data  are 
supported  by  the  visual  estimates  of  population 
size,  indicating  that  they  reflect  what  was  actual- 
ly happening  on  these  two  reefs. 

3.  Clearly,  the  visual  estimates  provide  a  more  spe- 
cific set  of  information  about  population  levels 
of  juveniles  living  on  the  reef.  The  method  also 
allows  direct  estimates  of  numbers  over  short 
time  intervals  and  with  minimal  disturbance  of 
the  western  rock  lobsters.  However,  although 
there  is  no  doubt  about  the  drastic  decline  in  the 
numbers  of  tagged  lobsters  on  reefs  I  and  V  after 
the  period  of  initial  tagging,  it  is  not  possible  to 
determine  if  this  was  as  a  result  of  tagging  mor- 
tality, an  emigration  as  a  response  to  handling 
and  tagging  or  part  of  the  normal  behavior 
pattern. 

Despite  the  attempts  to  select  directly  comparable 
reefs  for  the  experiment,  it  is  possible  that  reefs  III 
and  V  do  provide  different  environments  for  the 
resident  P.  cygnus.  The  movement  of  71  individuals 
from  reef  V  to  reef  III  may  be  part  of  a  typical  move- 
ment from  shallower  to  deeper  reefs.  It  seems 
unlikely  that  water  depth,  per  se,  is  the  primary  fac- 
tor involved,  because  the  difference  in  depth  be- 
tween the  two  reefs  is  no  more  than  2  m.  The  reefs 
used  by  Chittleborough  (1970)  at  Garden  Island,  on 
which  he  found  P.  cygnus  juveniles  remained  for 
several  years  with  little  movement  even  from  one 
part  of  the  reef  to  another,  were  similar  in  depth 
to  reef  III. 


Observations  during  sampling  indicated  that  on 
reefs  I  and  V,  which  are  both  located  close  to  the 
beach,  relatively  large  amounts  of  plant  detritus 
build  up  around  the  base  of  the  reef  and  under 
ledges  and  that  turbidity  of  the  water  is  sometimes 
quite  high.  These  effects  also  occur  on  reef  III,  but 
are  less  pronounced.  This  suggests  that  less  favor- 
able conditions  on  the  shallower,  inshore  patch- 
reefs  may  cause  some  P.  cygnus  to  seek  reefs 
slightly  farther  offshore  which  have  more  suitable 
conditions.  It  also  may  help  to  explain  the  higher 
variability  in  numbers  of  juveniles  from  the  visual 
estimates  made  on  reef  V  compared  with  reef  III. 
Some  individuals  may  temporarily  emigrate  from 
areas  such  as  reef  V  during  periods  of  adverse 
conditions. 

Survival  and  mortality  data,  which  were  obtained 
from  both  the  mark-recapture  estimates  of  popula- 
tion size  and  the  numbers  of  tagged  animals  recap- 
tured on  the  same  reef,  indicate  that  survival  of  P. 
cygnus  juveniles  was  significantly  higher  on  reef  III 
than  on  reef  V  over  the  1-yr  period  of  the  experi- 
ment. This  was  evident  for  individuals  of  all  four  age 
groups.  It  suggests  that  the  experimental  reduction 
in  numbers  of  juveniles  on  reef  III,  resulting  in 
relatively  low  population  densities  (29-61%  of  the 
original,  natural  number)  during  the  1-yr  experi- 
mental period,  led  to  significantly  higher  survival 
than  on  reef  V,  where  P.  cygnus  juvenOes  were  pres- 
ent at  natural  density  levels.  One  explanation  for 
this  is  that  reduced  densities  of  juveniles  on  a  reef 
may  lead  to  a  corresponding  reduction  in  predation 
mortality  and  adverse  interspecific  effects  of  crowd- 
ing. An  alternative  explanation  for  the  very  high 
survival  of  P.  cygnus  juwenWes  estimated  on  reef  III, 
relative  to  reefs  I  and  V,  is  that  the  tagged  juve- 
niles on  reef  III  remained  for  the  entire  year  while 
many  of  those  tagged  on  reef  I  and  V  emigrated  to 
other  reefs. 

These  mortality  data  are  subject  to  several  sources 
of  error,  including  the  basic  problems  associated 
with  mark-recapture  sampling  to  obtain  population 
estimates  (Bailey  1951).  The  age-specific  estimates 
of  survival  obtained  from  comparisons  of  numbers 
of  tagged  individuals  released  on  each  reef  in  Janu- 
ary 1981  and  recaptured  there  in  January  or  Feb- 
ruary 1982  requires  a  major  assumption.  It  is  that 
all  of  the  tagged  individuals  not  recaptured  on  a 
particular  reef  after  one  year  have  died.  This  un- 
doubtedly is  not  the  case  because  some  of  those  in- 
dividuals probably  moved  to  other  reefs  at  Seven 
Mile  Beach  after  their  release.  To  the  extent  that 
this  occurred,  the  survivorship  estimates  are  low. 


785 


FISHERY  BULLRTIN:  VOL.  86.  NO.  4 


No  quantitative  information  is  available  to  correct 
the  estimates  for  this  effect. 

The  analyses  of  the  growth  data,  including  both 
the  single  molt  increments  and  the  ARGRs,  clearly 
indicated  high  variability  in  growth  rates  between 
age  groups,  and  that  site  (reef)  and  season  varia- 
tions (recapture  interval)  were  compounding  factors. 
Estimates  of  growth  made  during  the  1-yr  period 
of  the  study  were  similar  to  those  obtained  on  reef 
I  in  previous  studies  at  Seven  Mile  Beach  (Chittle- 
borough  1970,  1975,  1976;  Chittleborough  and 
Phillips  1975;  Joll  and  Phillips  1984).  However, 
despite  the  fact  that  the  population  densities  in  1981 
were  the  highest  ever  recorded,  the  molt  increments 
of  the  3-yr-old  P.  cygnus  were  significantly  higher 
than  at  the  low  densities  in  1971-74. 

Comparisons  of  the  growth  data  for  P.  cygnus 
juveniles  showed  no  significant  differences  in 
growth  within  any  age  group  between  reefs  I,  III, 
and  V.  The  reduced  densities  of  juveniles  on  reef 
III  had  no  apparent  effect  on  either  their  overall 
growth  rates  or  their  molt  increments.  This  suggests 
that  the  food  resources  on  the  surrounding  seagrass 
beds  may  not  limit  growth  within  the  range  of  P. 
cygnus  densities  present  on  these  reefs  during  the 
field  experiments.  However,  other  factors  may  be 
involved.  The  foraging  ranges  of  juveniles  on  reef 
III  may  overlap  those  animals  from  reef  V  and  other 
nearby  patch-reefs.  More  recent  acoustic  tracking 
studies  by  Jernakoff  (unpubl.  data)  suggest  that  this 
is  probably  the  case.  If  so,  then  reducing  the  den- 
sity of  P.  cygnus  on  reef  III  might  not  produce  a 
significant  increase  in  their  growth  rates,  because 
they  could  still  be  sharing  their  food  resources  with 
animals  from  nearby  reefs. 

The  best  tests  of  hypotheses  about  the  effects  of 
limited  resources  are  those  where  the  densities  of 
P.  cygnus  are  experimentally  manipulated  in  repli- 
cated experimental  areas  and  which  incorporate  ap- 
propriate controls  (Connell  1974;  Underwood  1979). 
This  attempt  has  highlighted  a  number  of  problems. 
Nevertheless,  it  may  be  useful  to  conduct  modified 
manipulation  experiments  of  this  kind  in  the  futiire. 
Obviously,  one  of  the  problems  with  the  present  ex- 
periment was  the  lack  of  replication,  and  replication 
should  be  incorporated  in  the  design  of  any  future 
experiments.  This  was  not  possible  in  the  present 
study  because  of  high  time  and  manpower  require- 
ments associated  with  the  use  of  trapping  and  mark- 
recapture  techniques.  Furthermore,  our  observa- 
tions indicate  that  it  will  be  extremely  difficult  to 
find  a  series  of  patch-reefs  similar  enough  in  size, 
structure,  and  other  features  to  serve  as  true  rep- 


licates. As  has  been  shown  in  this  study,  even  small 
differences  in  water  depth,  or  as  yet  unidentified 
characteristics,  make  the  selection  of  reefs  as  equi- 
valents very  difficult.  Selection  of  such  reefs  also 
will  not  be  easy  because  often  several  reefs  are 
within  the  known  foraging  range  of  the  juveniles. 
Evaluation  and  refinement  of  the  visual  estima- 
tion technique  also  will  be  necessary  before  further 
manipulation  experiments  are  undertaken,  as  the 
usefulness  of  mark-recapture  techniques  is  dubious. 
Without  the  development  of  such  a  refined  method 
which  would  permit  rapid  and  frequent  estimates 
of  population  size,  the  effect  of  subsequent  changes 
in  population  levels  cannot  be  properly  monitored. 
Without  such  a  method  it  also  would  not  be  possi- 
ble to  determine  the  extent  to  which  migrations  of 
P.  cygnus  juveniles  to  and  from  the  reefs  are  induced 
by  the  use  of  the  baited  traps  or  by  handling  and 
other  disturbances  during  the  mark-recapture 
process. 

ACKNOWLEDGMENTS 

We  thank  David  Wright,  David  Evans,  Simon 
Braine,  and  Leo  Olsen  of  the  CSIRO  Division  of 
Fisheries  Research,  Marmion,  Western  Australia, 
for  their  assistance  with  field  and  laboratory  work. 
We  also  thank  Frank  W.  Reneke  of  San  Diego  State 
University  and  R.  Sandland  of  the  CSIRO  Division 
of  Mathematics  and  Statistics  for  their  assistance 
with  computer  data  summaries  and  statistical  anal- 
yses. This  study  was  sponsored  by  the  National  Sci- 
ence Foundation  U.S. -Australia  Cooperative  Science 
Program  through  NSF  grant  INT  7927203  to 
Richard  F.  Ford  and  by  the  CSIRO  Division  of 
Fisheries  Research. 

LITERATURE  CITED 

Bailey,  N.  T.  J. 

1951.    On  estimating  the  size  of  mobile  populations  from 
recapture  data.    Biometrika.  38:293-306. 
Chittleborough,  R.  G. 

1970.  Studies  on  recruitment  in  the  Western  Australian  rock 
lobster  Panulirus  longipes  cygnus  George:  density  and 
natural  mortality  of  juveniles.  Aust.  J.  Mar.  Freshwater 
Res.  21:131-148. 

1974a.  Home  range,  homing  and  dominance  in  juvenile  west- 
ern rock  lobsters.  Aust.  J.  Mar.  Freshwater  Res.  25:227- 
234. 

1974b.  Development  of  a  tag  for  the  western  rock  lobster. 
Rep.  Div.  Fish.  Oceanogr.  CSIRO  Aust.  No.  56,  19  p. 

1975.  Environmental  factors  affecting  growth  and  survival 
of  juvenile  western  rock  lobsters  Panulirus  longipes  (Milne- 
Edwards).    Aust.  J.  Mar.  Freshwater  Res.  26:117-196. 

1976.  Growth  of  juvenile  Panulirus  longipes  cygnus  George 


786 


FORD  ET  AL.:  POPULATION  OF  WESTERN  ROCK  LOBSTERS 


on  coastal  reefs  compared  with  those  reared  under  optimal 

environmental  conditions.    Aust.  J.  Mar.  Freshwater  Res. 

27:279-295. 
Chittleborough,  R.  G.,  and  B.  F.  Phillips. 

1975.    Fluctuations  of  year-class  strength  and  recruitment  in 

the  western  rock  lobster  Panuiirus  long-ipes  (Milne-Edwards. 

Aust.  J.  Mar.  Freshwater  Res.  26:317-328. 
Cobb,  J.  S. 

1981.    Behavior  of  the  Western  Australian  spiny  lobster, 

Panulirus  cygnus  George,  in  the  field  and  the  laboratory. 

Aust.  J.  Mar.  Freshwater  Res.  32:399-409. 
CONNELL,  J.  H. 

1974.    Field  experiments  in  marine  ecology.    In  R.  Mariscal 

(editor),  Experimental  marine  biology,  p.  21-54.    Acad. 

Press,  N.Y. 

1983.  On  the  prevalence  and  relative  importance  of  inter- 
specific competition:  evidence  from  field  experiments.  Am. 
Nat.  122:661-696. 

Davis,  G.  E. 

1978.    Field  evaluation  of  a  tag  for  juvenile  spiny  lobsters, 
Panulirus  argus.    Trans.  Am.  Fish.  Soc.  107:100-103. 
JoLL,  L.  M.,  AND  B.  F.  Phillips. 

1984.  Natural  diet  and  growth  of  juvenile  western  rock 


lobsters  Panulirus  cygnus  George.    J.  Exp.  Mar.  Biol.  Ecol. 
75:145-169. 

Kanciruk,  p. 

1980.  Ecology  of  juvenile  and  adult  Palinuridae  (spiny  lob- 
sters). In  J.  S.  Cobb  and  B.  F.  Phillips  (editors),  The  biology 
and  management  of  lobsters,  Vol.  II,  p.  59-92.  Acad.  Press, 
N.Y. 

Morgan,  G.  R.,  B.  F.  Phillips,  and  L.  M.  Joll. 

1982.  Stock  recruitment  relationships  in  Panulirus  cygnus, 
the  commercial  rock  (spiny)  lobster  of  Western  Australia. 
Fish.  Bull.,  U.S.  80:475-486. 

Phillips,  B.  F.,  L.  M.  Joll,  R.  L.  Sandland,  and  D.  Wright. 

1983.  Longevity,  reproductive  condition  and  growth  of  the 
western  rock  lobster,  Panulirus  cygnus  George,  in  aquaria. 
Aust.  J.  Mar.  Freshwater  Res.  34:419-429. 

Sandland,  R.  L.,  and  C.  A.  McGilchrist. 

1979.    Stochastic  growth  curve  analysis.    Biometrics  35:255- 
271. 
Underwood,  A.  J. 

1979.  The  ecology  of  intertidal  gastropods.  Adv.  Mar.  Biol. 
16:111-210. 


787 


A  LONG-TERM  STUDY  ON  THE  BEHAVIOR  AND  SURVIVAL  OF 

EARLY  JUVENILE  AMERICAN  LOBSTER,  HOMARUS  AMERICANUS,  IN 

THREE  NATURALISTIC  SUBSTRATES:  EELGRASS,  MUD,  AND  ROCKS 


Diana  E.  Barshawi  and  Donald  R.  Bryant-Rich^ 


ABSTRACT 

An  8-month  study  on  the  behavior,  growth,  and  survival  of  early  juvenile  American  lobsters,  HoTnarus 
americanus,  was  conducted  in  three  different  naturalistic  habitats  of  mud,  rocks  with  algae,  and  eelgrass. 
Fifteen  narrow  aquaria  (10  cm  wide)  allowed  visual  observations  of  American  lobster's  activities  in  five 
replicates  of  each  of  the  three  habitats.  After  a  3-month  acclimation  period  to  establish  "natural"  ben- 
thic  communities  which  entered  through  the  water  supply,  three  stage  IV  American  lobsters  were  intro- 
duced into  each  aquarium.  Observations  were  made  on  the  settling,  burrowing,  activity,  and  feeding 
behavior  of  these  lobsters. 

American  lobsters  in  eelgrass  and  rock  habitats  settled  into  the  substrate  more  quickly,  had  burrows 
a  greater  percent  of  the  time,  and  spent  less  time  repairing  their  burrows  than  lobsters  in  mud  habitats. 
The  lobsters  in  eelgrass  had  a  lower  mortality  rate  than  lobsters  in  either  rocks  or  mud.  None  of  the 
lobsters  in  any  substrate  were  observed  foraging  for  food  outside  of  their  burrows.  However,  the  behavior 
of  these  American  lobsters  indicated  that  they  were  able  to  capture  plankton  drawn  into  their  burrows 
by  pleopod  fanning.  Six  lobsters  molted  during  the  coldest  part  of  the  year  when  the  water  temperature 
was  approximately  1°  to  2°C. 


Stage  IV  of  the  American  lobster,  Homarus  ameri- 
canus, is  best  described  as  transitional  between 
larval  and  juvenile  (Phillips  et  al.  1980).  During  this 
stage  major  behavioral  changes  take  place,  which 
coincide  with  the  morphological  changes  occurring 
in  the  molt.  These  behavioral  and  morphological 
changes  cause  the  stage  IV  lobsters  to  descend  from 
the  upper  layers  of  the  water  column  to  the  bottom 
where  they  build  a  burrow  (Botero  and  Atema  1982; 
Ennis  1975). 

Knowledge  of  the  American  lobster's  behavior 
from  the  onset  of  settlement  until  they  reach  a  size 
of  approximately  20  mm  in  carapace  length  (CL) 
remains  Hmited  because  juveniles  of  this  size 
range  have  been  found  in  the  field  only  sporadi- 
cally. 

Several  laboratory  experiments  sought  to  deter- 
mine the  substrate  preferences  of  stage  IV  Ameri- 
can lobsters.  Howard  and  Bennett  (1979)  found  that 
lobsters  [H.  gammarus)  generally  choose  the  largest 
size  of  gravel  provided  (approximately  20  mm  in 
diameter),  because  larger  rocks  have  more  available 


'Boston  University  Marine  Program,  Marine  Biological  Labora- 
tory, Woods  Hole,  MA  02543;  present  address:  Marine  Field  Sta- 
tion, Rutgers  University,  Great  Bay  Blvd.,  Tuckerton,  NJ  08087. 

^Boston  University  Marine  Program,  Marine  Biological  Labora- 
tory, Woods  Hole,  MA  02543. 


space  between  them  for  burrows.  If  given  a  choice 
between  a  gravel  substrate  or  a  silt/clay  substrate, 
American  lobsters  prefer  the  gravel  (Pottle  and 
Elner  1982).  In  choice  tests,  stage  IV  American 
lobsters  preferred  rocks  with  macroalgae,  followed 
by,  in  order  of  decreasing  preference,  mud,  rocks 
on  sand,  and  sand.  If  not  afforded  a  choice,  the 
lobsters  settled  most  quickly  on  the  rocks  with 
macroalgae,  followed  by  rocks  on  sand,  mud,  and 
sand  (Botero  and  Atema  1982). 

MacKay  (1926)  recorded  observations  on  the 
lobsters'  ability  to  burrow  in  mud.  Subsequently 
Cobb  (1971),  Berrill  and  Stewart  (1973),  and  Botero 
and  Atema  (1982)  have  described  the  methods 
by  which  juvenile  American  lobsters  make  burrows 
in  both  mud  and  rocky  substrates.  No  observa- 
tions have  been  made  on  American  lobsters  burrow- 
ing into  other  substrates,  such  as  eelgrass  or 
peat. 

Cobb  et  al.  (1983)  followed  stage  IV  H.  ameri- 
canus for  short  periods  of  time  following  their  re- 
lease into  the  field.  They  observed  behavior  which 
may  indicate  that  American  lobsters  test  different 
substrates  and  continue  moving  if  they  are  on  un- 
satisfactory substrates  such  as  sand  or  mud;  how- 
ever, only  two  lobsters  were  actually  seen  reject- 
ing a  substrate. 


Manuscript  accepted  July  1988. 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


789 


FISHERY  BULLETIN:  VOL.  86.  NO.  4 


None  of  the  previous  studies  lasted  for  more  than 
a  few  days,  and  long-term  behavioral  observations 
have  never  been  recorded  on  early  juvenile  Ameri- 
can lobsters.  There  are  virtually  no  field  data  on  sim- 
ple life  history  parameters  such  as  their  preferred 
substrate,  growth  rate,  diet,  and  behavior.  It  is 
unwise  to  proceed  with  experimental  laboratory 
studies  on  an  organism  without  having  a  descrip- 
tive life  history  background  to  provide  context.  Both 
Cobb  (1987)  and  Fogarty  (1987)  recognized  the  need 
for  more  studies  on  the  behavior  and  ecology  of  the 
postsettled  prerecruits  used  in  this  study.  At  pres- 
ent it  is  difficult  to  gather  such  information  in  the 
field.  However,  this  study  was  designed  in  order  to 
provide  such  a  background  by  carefully  creating 
naturalistic  habitats  in  the  laboratory.  We  present 
quantified  behavioral  observations,  survival,  and 
growth  of  early  juvenile  American  lobsters  in  three 
different  substrates:  mud,  rocks,  and  eelgrass,  over 
an  8-mo  period. 

MATERIALS  AND  METHODS 

Fifteen  "ant  farm"  aquaria  (45  cm  deep  x  30  cm 
long  X  10  cm  wide)  were  constructed  to  optimize 
our  ability  to  observe  the  American  lobsters  inside 
their  burrows.  Five  of  the  aquaria  were  two-thirds 
filled  with  cohesive  mud  (particle  size  <0.06  mm) 
collected  from  mud  flats  in  the  Woods  Hole,  MA 
area.  Five  of  the  aquaria  were  two-thirds  filled  with 
rocks,  collected  from  subtidal  areas  in  such  a  way 
that  a  representative  distribution  of  rock  sizes 
was  obtained  (0.1-20  mm  diameter).  Some  of  the 
rocks  in  each  tank  had  macroalgae  Coleus  (sp.) 
and  Fucus  (sp.),  or  both  growing  on  them.  Eelgrass 
collected  from  local  eelgrass  beds  was  placed  in  the 
last  five  aquaria;  less  substrate  was  used  in  these 
latter  tanks  so  that  the  eelgrass  leaves  had  room 
to  grow. 

The  aquaria  were  randomly  distributed  in  a  sys- 
tem which  provided  running,  unfiltered  seawater  at 
ambient  temperatures  seasonally  ranging  from 
23°  to  0°C.  Plankton  were  always  visible;  also  the 
three  habitats  occasionally  had  plankton  blooms, 
during  which  algae  and  zooplankton  were  plentiful. 
The  tanks  were  maintained  on  an  ambient  light/dark 
regime  with  a  light  intense  enough  to  keep  the 
eelgrass  alive.  Removable,  opaque,  black  plastic  was 
placed  around  each  aquarium  to  the  level  of  the 
substrate  to  ensure  that  the  lobster  burrows  were 
dark.  To  establish  "natural"  benthic  communities, 
the  tanks  acclimated  from  20  July  until  16  October 
1982,  before  beginning  the  experiment. 


Stage  IV  American  lobster  siblings  from  the 
hatchery  at  St.  Andrews,  New  Brunswick,  Canada 
were  introduced,  one  per  day  into  each  aquarium 
for  3  consecutive  days.  Thus,  the  total  number  of 
lobsters  at  the  start  of  the  experiment  was  45,  15 
per  treatment.  Observations  were  recorded  continu- 
ously for  the  first  half  hour  after  each  introduction 
and  then  for  the  following  1.5  hours;  observations 
were  recorded  by  scanning  (taking  an  instantanious 
reading  of  the  lobsters'  behavior)  every  10  minutes. 
Observations  were  made  of  the  following:  1)  loca- 
tion of  the  animal  in  the  aquarium,  2)  motion  (walk- 
ing, swimming,  or  resting),  3)  burrowing  activity 
(pleopod  fanning,  bulldozing,  or  digging),  and  4) 
shape,  size,  and  location  of  final  burrow.  This  pro- 
cedure was  similar  to  that  used  in  the  substrate 
choice  tests  done  by  Atema  et  al.  (1982). 

During  the  first  introduction  of  American  lobsters 
into  several  of  the  tanks,  mud  crabs,  Neopanope 
sayi,  immediately  consumed  them.  The  mud  crabs 
were  subsequently  removed  and  new  American  lobs- 
ters were  placed  into  these  tanks. 

After  the  American  lobsters  had  been  introduced 
into  each  of  the  15  tanks,  long-term  observations 
began  of  each  lobster  in  each  tank  at  intervals  rang- 
ing from  daily  to  twice  per  week.  The  observation 
periods  were  at  different  times  during  the  day  with 
5.1%  during  the  dark  period,  although  it  was  dif- 
ficult to  see  the  lobsters  in  low  light  because  of  the 
cryptic  nature  of  some  burrows.  There  was  a  total 
of  195  observations  periods.  Each  lobster  that  was 
visible  was  watched  for  at  least  one  minute;  if  the 
lobster  was  active,  observations  lasted  until  the  ac- 
tivity ended.  However,  for  the  quantitative  analysis 
of  lobster  activity  only  the  first  minute  of  observa- 
tions were  used.  A  total  of  495  hours  of  observa- 
tions were  made  averaging  11  hours  per  individual 
lobster.  For  each  lobster  we  recorded  1)  the  loca- 
tion of  the  lobster  in  relation  to  its  burrow,  2) 
whether  the  lobster  had  molted,  3)  the  lobster's  ac- 
tivity, and  4)  the  shape  of  the  burrow  (with  a  quick 
sketch).  The  activities  observed  are  described  in 
Table  1. 

The  experiment  lasted  approximately  eight 
months,  from  21  October  1983  to  1  July  1984.  The 
lobsters  were  not  fed  during  that  time;  we  assumed 
they  would  find  food  from  the  communities  in  which 
they  lived.  At  the  end  of  the  experiment,  the  sur- 
viving lobsters  were  weighed  and  their  carapace 
length  was  measured.  Additionally,  the  sediment  in 
each  tank  was  sieved  through  a  1  mm  screen,  and 
all  organisms  were  collected,  weighed,  and  identified 
to  the  genus  or  species  level. 


790 


BARSHAW  and  BRYANT-RICH:  EARLY  JUVENILE  AMERICAN  LOBSTER 


Table  1  .—Description  of  the  different  activities  observed  through- 
out the  experiment. 


Activity 


Description 


Rest  No  movement  for  at  least  30  seconds.  Groom- 

ing was  not  considered  movement,  and  was  not 
recorded  separately  from  rest. 

Pleopod  fan  Movement  of  the  pleopods;  if  the  fanning  was 

(PPF)  being  used  to  repair  the  burrows,  i.e.,  sediment 

was  being  moved,  then  the  activity  was  recorded 
as  burrow  repair. 

Burrow  repair        Any   activity  which   caused   sediment   to   be 

(BR)  moved,  including  bulldozing  (pushing  sediment 

toward  with  the  claws  spread  apart),  pleopod 

fanning,  and  digging  (loosening  sediment  by 

pushing  claws  into  it). 

Investigate  Standing  at  the  entrance  of  the  burrow  with 

(INVEST)  antennules  out  and  antennae  flicking. 

Feed  Eating  anything  larger  than  1  mm.  Activity  that 

looked  like  filter  feeding  was  not  included  in  this 
category  (it  was  part  of  the  pleopod  fan).  It  is 
discussed  in  the  text. 

Walk  Walking  on  the  sediment.  Does  not  include 

"walking"  in  the  burrow. 

Swim  Swimming  in  the  water  column. 


RESULTS 

Burrowing 

The  American  lobsters  in  the  eelgrass  and  rock 
substrates  started  burrow  construction  more  quickly 
than  the  ones  in  the  mud  substrate  (1  way  ANOVA, 
Newman-Keuls  test,  P  <  0.05).  There  was  no  sig- 
nificant difference  in  the  time  to  initial  burrowing 
between  lobsters  in  eelgrass  and  lobsters  in  rock 
substrates  (Table  2A). 

American  lobsters  used  the  same  methods  to  make 
burrows  in  eelgrass  as  in  mud  and  rocks.  They 
typically  started  at  the  base  of  an  eelgrass  plant  and 
then  established  a  burrow  under  the  rhizomes  by 
pleopod  fanning  and  bulldozing.  The  burrows  usually 


had  two  openings  although  burrows  were  seen  with 
from  one  to  six  openings.  These  openings  were 
smaller  and  more  difficult  to  see  than  similar  open- 
ings in  mud  or  rock  substrates.  Although  lobsters 
in  all  substrates  had  burrows  for  the  majority  of  the 
observations,  because  their  burrow  had  collapsed, 
the  lobsters  in  the  mud  substrate  were  without  a 
burrow  for  a  greater  percent  of  the  observations 
than  the  lobsters  in  the  eelgrass  or  rock  substrates 
(arcsine  transformation,  1  way  ANOVA,  Newman- 
Keuls  test,  P  <  0.05,  Table  2B).  For  this  analysis 
the  lobster  had  to  be  visible;  if  neither  the  lobster 
nor  its  burrow  were  visible  during  a  given  observa- 
tion period,  that  observation  was  excluded  from  the 
analysis. 


Activity 

American  lobsters  were  not  seen  to  forage  out- 
side of  their  burrows.  If  a  lobster  had  a  burrow,  it 
was  never  seen  outside  of  that  burrow  in  any  of  the 
treatments  during  the  entire  experiment.  During 
the  day  periods,  these  lobsters  were  seen  in  their 
burrows  1,503  times,  and  outside  of  their  burrows 
0  times.  Therefore,  by  using  sampling  theory,  one 
can  calculate  that  the  lobsters  were  spending  at  least 
99.8%  of  their  time  during  light  periods  in  their  bur- 
rows (binomial  distribution,  P  =  0.05).  During  the 
night  periods  lobsters  were  seen  in  their  burrows 
103  times,  outside  of  their  burrows  0  times.  There- 
fore, the  lobsters  were  spending  at  least  97.0%  of 
the  time  in  their  burrows  during  the  dark  (binomial 
distribution,  P  =  0.05).  The  difference  between  the 
night  and  day  percentages  is  a  function  only  of  the 
greater  number  of  observations  made  during  the 
day. 

The  cumulative  times  that  the  American  lobsters 
spent  at  various  activities  were  influenced  by  sub- 


Table  2. — (A)  The  average  time  in  minutes  that  it  took  each  lobster  in  the 
eelgrass,  rock,  and  mud  treatments  to  start  construction  of  their  burrow 
(eelgrass  vs.  mud  and  rocks  vs.  mud,  P  <  0.05).  (B)  The  percent  of  observa- 
tions throughout  the  experiment  during  which  the  lobsters  in  each  substrate 
did  not  have  a  burrow.  N  varied  from  160  to  68,  depending  on  how  many 
lobsters  were  visible  (eelgrass  vs.  mud  and  rocks  vs.  mud,  P  <  0.05).  (C) 
The  average  weight,  in  grams,  and  the  carapace  length  (CL),  in  mm,  of  the 
lobsters  in  each  treatment  at  the  end  of  the  experiment. 


A 
Time  to  burrow 

B 
No  burrow 

C 

Weight     and         CL 

Eelgrass 

Rock 

Mud 

7.92  +  2.02 
11.92  -1-  3.22 
49.17  +   14.08 

4.70  +  1.7 
3.82  +   1.22 
12.2     +  3.7 

4.95  ±  0.95        18.15  ±   1.25 
3.18  ±  0.16        15.22  ±   1.34 
3.22  ±   1.23        15.85  ±   1.92 

791 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


CO 

z 
g 

< 
> 

LU 
CO 
ffl 
O 

u. 
O 


UJ 

o 

MX 

a. 


60 


50 


40 


30 


20 


10 


0 


I 


■:i 


\ 

0  ! 


REST 


B     EG 
0     ROCK 

H     MUD 


X 


rp^/i 


INVEST 


WALK 


FEED 


ACTIVITIES 

Figure  1 . — The  percent  of  observations  in  which  the  American  lobsters  were  engaged  in  each  of  the  listed  activities.    BR:  eelgrass 
vs.  mud,  P  <  0.001.  Invest:  eelgrass  vs.  mud  and  rock  vs.  mud,  P  <  0.05.  A'^  varied  from  160  to  68. 


strate  (Fig.  1).  The  lobsters  in  the  mud  substrate 
spent  a  significantly  greater  percent  of  their  time 
repairing  their  burrows  than  the  lobsters  in  either 
eelgrass  or  rocks  (arcsine  transformation,  1  way 
ANOVA,  Newman-Keuls  test,  P  <  0.001).  Based  on 
percent  of  observations,  the  lobsters  in  mud  spent 
significantly  less  time  investigating  than  did  the 
lobsters  in  rocks  (tests  as  above,  P  <  0.05).  There 
was  no  significant  difference,  however,  between  the 
percent  of  observations  spent  investigating  in  the 
mud  vs.  the  eelgrass,  or  in  the  percent  of  observa- 
tions spent  investigating  in  the  eelgrass  vs.  the 
rocks. 

Based  on  the  percent  of  observations,  the  time 
the  lobsters  spent  resting  and  pleopod-fanning 
was  considerable  (18-45%)  in  all  substrates  and  did 
not  differ  between  them.  Walking  was  only  observed 
when  a  lobster  did  not  have  a  burrow.  Feeding 
occurred  only  on  the  few  occasions  when  some 
edible  object  landed  close  enough  to  the  burrow  so 
that  the  lobster  could  reach  it  without  entirely 


leaving  its  burrow.  Twice  lobsters  were  seen  catch- 
ing swimming  amphipods  at  the  entrance  to  their 
burrow. 

American  lobsters  were  observed  creating  a  cur- 
rent by  pleopod-fanning,  which  was  seen  to  draw 
plankton  through  their  burrows.  During  these 
periods  the  lobster  stood  with  its  clawed  limbs  held 
up  and  apart.  The  mouth  parts,  particularly  the  sec- 
ond and  third  maxillipeds  moved  rapidly,  and  the 
first  pair  of  walking  legs  were  often  brought  up  to 
the  mouth.  Occasionally  the  lobster  would  jerk  for- 
ward and  snap  its  claws.  All  of  the  above-mentioned 
appendages  are  covered  with  various  types  of  setae 
(Factor  1978),  which  could  help  the  lobsters  to  catch 
the  plankton  both  by  "filtering"  with  their  maxilli- 
peds, claws,  and  first  walking  legs,  and  by  seizing 
the  plankton  with  their  claws.  These  observations, 
supported  by  Lavalli  and  Barshaw  (1986)  and  Bar- 
shaw  (in  press)  show  that  American  lobsters  are 
able  to  catch  plankton  while  remaining  in  their 
burrow. 


792 


BARSHAW  and  BRYANT-RICH:  EARLY  JUVENILE  AMERICAN  LOBSTER 


Mortality 

There  was  an  initial  mortality  of  the  American 
lobsters  in  all  habitats  followed  by  no  deaths  in  the 
winter  and  another  die-off  in  the  spring  (Fig.  2).  The 
mortality  rate  for  American  lobsters  in  eelgrass  was 
significantly  lower  than  those  in  the  mud  or  in  the 
rocks  (arcsine  transformation,  linear,  least-square 
regression,  r^  =  0.75  eelgrass,  0.86  rock,  0.94 
mud,  comparison  of  slopes,  P  <  0.001). 


Molting  and  Size 

At  the  end  of  the  experiment  there  was  no  signif- 
icant difference  in  the  size  of  the  lobsters  between 
habitats,  although  the  American  lobsters  in  eelgrass 
tended  to  be  larger  (Table  2C).  There  was  also  no 
significant  difference  in  the  number  of  observed 
molts  between  treatments.  We  observed  molting  by 
six  lobsters  during  the  coldest  part  of  the  year  when 
the  water  temperature  was  between  1°  and  2°C. 

Possible  Prey 

The  biomass  of  American  lobsters  (>1  mm)  was 
not  significantly  different  among  treatments,  but 


the  biomass  of  American  lobsters  in  eelgrass  tended 
to  be  higher  (ANOVA,  Newman-Keuls  test,  P  < 
0.01,  Table  3).  There  were  fewer  different  genera 
residing  in  the  mud  habitats,  with  the  greatest  diver- 
sity in  rock. 

DISCUSSION 

Initial  observations  showed  that  stage  IV  Ameri- 
can lobsters  started  to  burrow  more  quickly  in  eel- 
grass and  rock  habitats.  While  several  investigators 
have  shown  that  American  lobsters  choose  rocks 
over  mud  (Howard  and  Bennett  1979;  Pottle  and 
Elner  1982;  Botero  andAtema  1982),  no  choice  ex- 
periments have  used  eelgrass  as  a  substrate.  Like- 
wise, in  this  experiment  we  have  not  directly  shown 
that  the  lobsters  prefer  the  eelgrass  substrate 
because  they  were  not  offered  a  choice.  Speed  of 
settling  would  be  indicative  of  a  preference,  how- 
ever, if  the  method  that  lobsters  use  to  choose  a 
substrate  is  to  keep  swimming  if  the  habitat  is  un- 
suitable, but  settle  if  it  is  suitable.  Such  behavior 
was  observed  in  laboratory  experiments  by  Botero 
and  Atema  (1982).  Indications  that  lobsters  keep 
swimming  over  unsuitable  substrates  was  also  ob- 
served by  Cobb  et  al.  (1983)  in  the  field. 


Q 
< 
LU 
Q 

H 
Z 
LU 
O 
QC 
LU 
Q. 


NOV 


DEC 


JAN 


FEB 


MAR 


APR 


MAY 


Figure  2.— The  cumulative  percent  of  American  lobsters  that  died  in  the  three  treatments,  each 
point  represents  a  day  when  a  lobster  died.  Fifteen  lobsters  per  treatment  were  present  at  the  begin- 
ning of  the  experiment.    Eelgrass  vs.  mud  and  eelgrass  vs.  rock,  P  <  0.001. 


793 


FISHERY  BULLETIN:  VOL,  86.  NO.  4 


Table  3. — Average  biomass  (wet  weight)  and  species  list  of  organisms  larger  than  1  mm  liv- 
ing in  the  sediment  of  each  treatment  at  the  end  of  the  expehment. 


Treatment 


Bivalve 


Polycheate 


Other 


Eeigrass:  Mean  biomass  per  tank 
Mercenaha  mercenaria 
Yoldia  (spp.) 


Rock:    Mean  biomass  per  tank  = 

Andora  oval  is 
Andora  transversa 
Mercenaria  mercenaria 
Mucoma  (spp.) 
Yoldia  (spp.) 


8.2  ±  2.7  g 
Capitella  (spp.) 
Clemenalla  (spp.) 
Glycera  (spp.) 
Lumbrineris  (spp.) 
Neris  (spp.) 
Spiondae  (gen.) 
Terebellida  (gen.) 

3.28  ±   1.07  g 

Chrysopetalidae 

{Dysponetus  pygmaeus) 
Nephytidae  (spp.) 
Nereis  (spp.) 
Phyllodocdae  (gen.) 
Sapella  (gen.) 
Terebellida  (gen.) 


Sipunculoidea 
{Golfingia  gouldi) 


Sipuculoidea 

{Golfingia  gouldi) 
Crustacea 

(Neopanope  sayi) 


Mud:    Mean  biomass  per  tank  =  4.4  +  1.07  g 


Geukendia  demessus 
Solemya  velum 
Yoldia  (spp.) 


Glycera  (spp.) 
Nephtys  (spp.) 
Nereis  (spp.) 
Orbiniidae  (spp.) 
Terebelleda  (gen.) 


The  mud  substrate  appeared  to  be  the  least 
suitable  of  the  three  tested  since  American  lobsters 
in  eeigrass  and  rocks  were  without  burrows  for  less 
time  than  those  in  mud.  However,  even  in  the  mud 
habitat  the  lobsters  had  burrows  for  an  average  of 
87.8%  of  the  observations  (Table  2B).  The  three 
substrates  used  in  this  study  were  chosen  partly 
because  of  their  differences,  yet  the  lobsters  man- 
aged to  build  and  maintain  burrows  in  all  three 
substrates  for  eight  months.  This  result  clearly 
shows  that  early  juveniles  have  flexible  behavior  and 
modify  it  to  adapt  to  different  substrates. 

The  way  that  the  American  lobsters  partitioned 
the  amount  of  time  they  spent  on  different  activities 
was  also  affected  by  the  substrate  in  which  they 
lived.  While  lobsters  in  eeigrass  and  rock  habitats 
spent  little  time  repairing  their  burrows,  lobsters 
in  mud  spent  considerable  time  on  repair  (Fig.  1). 
This  result  is  consistent  with  the  characteristics 
of  the  three  substrates.  Eeigrass  stabilizes  the 
underlying  sediment  (decreases  erosion)  by  baffling 
the  water  currents  with  its  leaves  and  binding  the 
sediment  with  its  roots  (Scoffin  1970);  rocks,  al- 
though usually  found  in  areas  of  stronger  currents, 
provide  a  ready  made  solid  roof;  mud,  however,  is 
more  easily  disturbed  (Rhoads  and  Young  1970).  If 
one  lobster  did  not  have  a  burrow  in  the  mud  tanks, 
its  walking  often  destroyed  the  other  lobsters' 
burrows. 


The  extra  time  that  the  American  lobsters  in  mud 
spent  repairing  their  burrows  was  subtracted  mainly 
from  investigation  time  (Fig.  1),  perhaps  because 
there  was  not  as  much  prey  in  the  mud  for  the 
lobsters  to  detect,  so  this  activity  was  the  most  ex- 
pendable. No  significant  differences  were  found 
between  the  time  budgets  of  the  lobsters  in  eeigrass 
and  the  lobsters  in  rocks;  however,  the  lobsters  in 
eeigrass  spent  more  time  resting  than  investigating, 
while  the  opposite  was  true  of  the  lobsters  in  rock 
substrate. 

The  American  lobsters  in  the  eeigrass  had  a  lower 
mortality  rate  than  those  in  either  mud  or  rocks. 
This  result  could  have  been  due  to  the  greater  bio- 
mass of  possible  prey  animals  living  in  the  eeigrass 
habitat,  and/or  the  greater  complexity  of  the  eel- 
grass  habitat,  which  in  essence  separated  the  lob- 
sters and  ameliorated  the  effects  of  high  density. 
Seagrass  beds  in  nature  have  also  been  shown  to 
have  a  greater  biomass  of  species  living  in  them  than 
the  biomass  of  species  living  in  less  complex  sub- 
strates such  as  mud  or  sand  (Orth  1973;  Thayer  et 
al.  1984). 

The  lower  mortality  rate  of  lobsters  in  eeigrass 
led  to  a  greater  number  of  lobsters  per  tank  in  this 
treatment.  Higher  concentrations  of  lobsters  have 
been  shown  to  cause  slower  rates  of  growth  in 
lobster  living  in  fairly  unnatural  substrates  (Cobb 
and  Tamm   1974).  In  this  study,  the  American 


794 


BARSHAW  and  BRYANT-RICH:  EARLY  JUVENILE  AMERICAN  LOBSTER 


lobsters  in  eelgrass  were  not  smaller  perhaps  also 
because  the  eelgrass  substrate  ameliorated  the 
effects  of  higher  density.  We  did  not  observe  any 
differences  in  the  activity  budgets  of  the  lobsters 
owing  to  higher  density  (Fig.  1). 

This  study  shows  that  early  juvenile  American 
lobsters  differ  dramatically  in  their  behavior  from 
older  lobsters.  They  seldom,  if  ever,  forage  for  food 
outside  of  their  burrows,  but  instead  remain  inside 
of  them.  This  was  true  even  though  there  were  no 
predators  present  other  than  other  juveniles. 

The  lobsters'  main  activities  within  their  bur- 
rows reflected  their  needs.  Because  they  did  not  for- 
age outside  of  their  burrows,  all  of  the  early  juve- 
niles' nourishment  must  have  been  found  inside 
of  their  burrow,  or  within  reach  of  the  entrance. 
Lobsters  could  forage  on  polycheates,  meiofauna, 
and  on  any  other  organisms  residing  inside  their  bur- 
rows or  draw  plankton  in  by  pleopod-fanning.  In  this 
study  lobsters  were  seen  to  catch  swimming  am- 
phipods  at  the  entrance  to  their  burrow,  and  Ber- 
rill  (1974)  observed  similar  behavior.  Besides  rest- 
ing, the  lobsters  mainly  "investigated"  for  anything 
edible  in  the  entrance  of  their  burrow  and  pleopod- 
fanned  to  draw  in  plankton.  If  they  were  forced  to 
burrow  in  a  relatively  unstable  substrate,  such  as 
mud,  they  spent  a  significant  amount  of  time  main- 
taining that  burrow. 

The  claws  of  early  juvenile  American  lobsters  are 
smaller  and  weigh  less  relative  to  the  abdomen  than 
those  of  older  lobsters,  and,  by  external  appearance 
the  two  claws  are  not  differentiated  from  each  other. 
Furthermore,  the  speed  of  the  tail  flip  reflex  is  faster 
at  sizes  smaller  than  20  mm  carapace  length  (Lang 
et  al.  1977).  These  morphological  characteristics 
along  with  the  behavioral  results  from  this  study, 
and  field  observations  that  juveniles  become  easier 
to  find  at  a  carapace  length  of  20-40  mm  (Cooper 
and  Uzmann  1980;  Able  et  al.  in  press),  indicate  that 
the  juvenile  stage  of  the  American  lobster  can  ac- 
tually be  divided  into  two  substages:  1)  the  early 
juvenile  stage,  spanning  settlement  to  the  time  un- 
til claws  begin  to  differentiate,  during  which  period 
the  lobsters  seldom,  if  ever,  leave  their  burrow;  and 
2)  the  late  juvenile  stage,  starting  when  the  claws 
are  differentiated  and  become  larger  in  relation  to 
the  abdomen  and  ending  with  sexual  maturity.  At 
this  stage,  the  lobsters  start  to  forage  for  food 
outside  of  their  burrows,  and  behave  more  similar- 
ly to  adults  (Cooper  and  Uzmann  1980;  Able  et  al. 
1988). 

We  suggest  the  following  scenario  for  the  life 
history  of  early  juvenile  American  lobsters.  After 


settling  onto  a  suitable  substrate  the  lobsters  build 
a  burrow  where  they  remain  for  the  duration  of  the 
"early  juvenile"  substage.  By  catching  food,  both 
in  the  substrate  around  their  burrow  entrance  and 
by  drawing  plankton  into  their  burrow  by  pleopod- 
fanning,  the  early  juvenile  lobsters  manage  to  sur- 
vive without  foraging  outside  their  burrow. 

ACKNOWLEDGMENTS 

We  thank  Diane  Cowan  and  Ruth  lannazzi  for  help 
with  observations  and  maintenance  of  the  system. 
We  also  thank  Mike  Eagles  then  of  the  St.  Andrews 
Marine  Biological  Field  Station,  New  Brunswick, 
Canada  for  supplying  us  with  stage  IV  American 
lobsters.  We  also  thank  Kenneth  W.  Able  for  review- 
ing the  manuscript  and  Judith  Capuzzo  and  Stanley 
Cobb  for  reviewing  an  earlier  draft.  This  research 
was  supported  in  part  by  a  National  Wildlife  Feder- 
ation -  American  Petroleum  Institute,  Environmen- 
tal Conservation  Fellowship  to  Diana  Barshaw. 

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796 


DISTRIBUTION  AND  ABUNDANCE  OF  THE  BOTTLENOSE  DOLPHIN, 
TURSIOPS  TRUNCATUS  (MONTAGU,  1821),  IN  VIRGINIA^ 


Robert  A.  Blaylock^ 


ABSTRACT 

The  distribution  and  abundance  of  the  bottlenose  dolphin,  Tursiops  truncatus,  was  examined  by  conduct- 
ing aerial  surveys  of  the  Chesapeake  Bay  mouth  and  nearshore  coastal  waters  of  Virginia  in  1980  and 
1981.  Bottlenose  dolphin  density  was  estimated  using  line  transect  methods  and  a  4-term  Hermite 
polynomial  was  chosen  to  model  the  detection  function.  Six  surveys  in  the  Chesapeake  Bay  mouth  resulted 
in  an  average  density  estimate  of  0.159  dolphins/km".  Ten  surveys  along  the  southern  Virginia  coast 
produced  an  average  density  estimate  of  3.446  bottlenose  dolphins/km'  within  2  km  of  shore.  Average 
bottlenose  dolphin  abundance  in  the  Chesapeake  Bay  mouth  and  along  the  southern  Virginia  coast  was 
estimated  at  340  dolphins  (±104,  95%  C.I.).  An  estimate  of  0.208  bottlenose  dolphins/km"  along  the 
northern  Virginia  coast  is  tenuous  because  only  one  survey  was  conducted  there.  Dolphin  sightings  were 
distributed  uniformly  along  the  southern  Virginia  coast  with  the  exception  of  some  clustering  of  herd 
sightings  at  the  capes  bordering  the  Chesapeake  Bay  mouth.  The  percentage  of  calves  per  herd  aver- 
aged 7.5%  in  Chesapeake  Bay  mouth,  4.3%  in  the  southern  coastal  area,  9.0%  in  the  northern  coastal 
area,  and  peaked  in  June.  Five  of  seven  bottlenose  dolphins  identified  by  unique  dorsal  fin  shapes  in 
1980  were  resighted  in  1981,  suggesting  seasonal  residency  of  individuals. 


Of  the  23  cetacean  species  occurring  along  the 
Virginia  coast  (Leatherwood  et  al.  1976;  Blaylock 
1985)  the  bottlenose  dolphin,  Tursiops  truncatus 
(Montagu,  1821),  is  the  only  cetacean  found  near 
shore  regularly  and  in  large  numbers.  However, 
there  are  few  quantitative  data  available  to  assess 
the  abundance,  distribution,  and  seasonal  occur- 
rence of  Tursiops  truncatus  (hereafter  referred  as 
Tursiops)  in  Virginia  coastal  waters. 

Those  bottlenose  dolphins  occurring  seasonally  in 
Virginia  are  believed  to  form  part  of  a  population 
distributed  from  northern  North  Carolina  to  New 
Jersey  during  the  summer.  This  population  was  the 
focus  of  a  sporadic  fishery  along  Hatteras  Island, 
NC  from  circa  1797  to  1929,  the  primary  products 
of  the  fishery  being  hides  and  oil  (True  1891;  Town- 
send  1914;  Mead  1975).  From  cumulative  catch 
records,  Mitchell  (1975)  estimated  a  historical  popu- 
lation size  of  13,748-17,000  dolphins  and  inferred 
annual  migration  from  biannual  peaks  in  catches 
during  the  fall  and  spring.  True  (1891)  earlier  sug- 
gested a  north-south  migration,  reporting  on  fish- 
ermen's observations  that  bottlenose  dolphins  were 
usually  seen  traveling  south  in  the  fall  and  north  in 


the  spring,  with  only  a  few  remaining  near  Hatteras 
during  the  summer. 

Analysis  of  large-scale  aerial  surveys  along  the 
northern  and  mid-Atlantic  U.S.  coast  revealed  a 
bimodal  longitudinal  Tursiops  distribution,  inter- 
preted as  separate  nearshore  and  offshore  areas  of 
abundance  (CETAP  1982).  These  areas  represent 
the  habitats  of  two  distinct  morphological  types  of 
T.  truncatus.  The  offshore  type  is  slightly  larger  at 
the  onset  of  physical  and  sexual  maturity  than  the 
nearshore  types  and  ultimately  attains  a  greater 
size^. 

An  important  finding  of  the  CETAP  surveys  was 
the  presence  of  multiple  latitudinal  peaks  in  coastal 
sightings  indicating  discontinuities  in  the  north- 
south  distribution  of  nearshore  Tursiops  (CETAP 
1982).  These  observations  indicate  either  an  uneven 
distribution  of  nearshore  Tursiops  or  the  presence 
of  multiple  coastal  populations  or  subpopulations. 
However,  a  recent  epidemic  suggests  that  the 
U.S.  east  coast  Tursiops  may  represent  a  single 
stock. 

Tursiops  mortalities  south  of  North  Carolina 
during  autumn  of  1987  increased  sharply  with  the 
apparent  emigration  of  Tursiops  from  Virginia 


'Contribution  No.  1464  from  the  Virginia  Institute  of  Marine 
Science. 

^Virginia  Institute  of  Marine  Science,  Gloucester  Point,  VA 
23062. 


'J.  G.  Mead,  Division  of  Mammals,  Smithsonian  Institution, 
Washington,  DC,  pers.  commun.  June  1978. 


Manuscript  accepted  June  1988. 

FISHERY  BULLETIN;  VOL.  86,  NO.  4,  1988. 


797 


FISHERY  BULLETIN:  VOL.  8«.  NO.  4 


waters.^  If  the  high  level  of  Tursiops  mortalities  ex- 
perienced in  the  mid-Atlantic  coast  during  the  sum- 
mer of  1987  was  because  of  an  infectious  agent,  then 
its  spread  to  conspecifics  in  more  southerly  regions 
may  have  been  caused  by  contact  between  in- 
dividuals from  different  areas  and  more  extensive 
migration  than  has  been  previously  suggested. 

In  the  present  study  I  used  aerial  surveys  to  esti- 
mate the  abundance  and  examine  the  distribution 
of  T.  truncatus  in  Virginia  coastal  waters,  including 
the  Chesapeake  Bay  mouth.  I  also  investigated 
natality  periods  by  monthly  comparison  of  the  aver- 
age percentage  of  calves  present  and  residency  pat- 
terns using  photographic  records  of  identifiable 
individuals. 

METHODS 

Aerial  surveys  were  conducted  during  July- 
October  1980,  and  May-June  1981,  from  a  high- 
winged,  single-engine  aircraft  (U6A  DeHavilland 
Beaver^)  at  an  altitude  of  152  m  and  at  an  air- 
speed of  147  km/h.  Observers  sitting  in  the  two 
passenger  seats  searched  each  side  of  the  transect 
for  bottlenose  dolphins.  A  recorder/navigator  sitting 
forward  of  the  observers  and  next  to  the  pilot  helped 
to  maintain  predetermined  transect  lines  and 
recorded  sightings  which  were  communicated  via 
intercom. 

Upon  sighting  a  bottlenose  dolphin  herd,  the  per- 
pendicular distance  from  the  flight  path  to  the  herd 
center  was  determined  from  calibrated,  taped  mark- 
ings on  the  wing  struts  with  the  aircraft  in  level 
flight  or  a  hand-held  inclinometer.  The  transect  was 
then  temporarily  halted  and  the  herd  circled  at  a 
lower  altitude  to  count  individuals.  The  herd  loca- 
tion, direction  of  travel,  behavior,  and  the  number 
of  calves  were  also  noted.  Transect  lengths  and  the 
survey  area  were  measured  with  a  digital  planimeter 
from  NOS/NOAA  navigation  charts. 

Depending  upon  the  area  surveyed  (Fig.  1),  two 
types  of  survey  schemes  were  used.  Systematic,  lati- 
tudinally  oriented  transects  were  used  in  the  Chesa- 
peake Bay  mouth  (CBM)  during  1980.  The  northern 
starting  point  for  each  survey  was  randomized,  and 
each  transect  was  located  7.4  km  south  of  the  pre- 
vious transect.  Two  exceptions  to  this  regime  oc- 


■•D.  M.  Burn,  Southeast  Fisheries  Center,  National  Marine  Fish- 
eries Service,  NOAA,  75  Virginia  Beach  Drive,  Miami,  FL  33149, 
pers.  commun.  June  1988. 

^Reference  to  trade  names  does  not  imply  endorsement  by  the 
National  Marine  Fisheries  Service,  NOAA. 


curred,  but  in  neither  case  was  the  distance  between 
transects  less  than  3.7  km.  Three  or  four  transects 
were  flown  during  each  CBM  survey  and  each 
survey  covered  approximately  30%  of  the  total 
survey  area.  CBM  surveys  were  not  conducted  in 
1981. 

Longshore  surveys  were  flown  from  north  to 
south  in  1980  and  1981,  parallel  to  the  coast  and  1 
km  offshore  from  Cape  Charles  to  False  Cape  (32.3 
km).  Those  conducted  in  1980  were  flown  imme- 
diately upon  completing  the  CBM  surveys  so  that 
there  was  no  possibility  of  counting  herds  in  the 
longshore  area  that  were  counted  during  CBM 
surveys,  except  perhaps  during  transit  between 
Cape  Charles  and  Cape  Henry,  which  was  flown 
over  open  water  on  the  shortest  line  between  the 
two  points.  One  additional  survey  was  flown  along 
the  northern  Virginia  coast. 

After  subtracting  the  minimum  distance  from  the 
transect  that  could  be  observed  because  of  limited 
visibility  directly  beneath  the  aircraft,  the  perpen- 
dicular sighting  distance  data  were  truncated  at  1 
km.  Data  from  all  three  study  sites  were  then  pooled 
for  the  calculation  ofg{x),  the  detection  function  for 
line  transect,  and  [/'(O)],  the  probability  density  func- 
tion of  perpendicular  sighting  distances  evaluated 
at  the  transect.  In  line  transect  the  detection  func- 
tion gix)is  the  conditional  probability  of  observing 
an  object  at  perpendicular  distance  x  from  the  tran- 
sect line  and /(a:;)  is  ^'(a;)  scaled  to  integrate  to  one 
(Burnham  et  al.  1980).  Each  survey  was  treated  as 
a  replicate  to  determine  the  analytical  variance  of 
/(O).  Herd  density  was  then  calculated  separately  for 
each  of  the  survey  areas  using /(O)  estimated  from 
the  pooled  sightings. 

Several  estimates  of /(O)  and  its  analytical  vari- 
ance were  calculated  by  fitting  parametric  and 
nonparametric  models  to  the  distribution  of  perpen- 
dicular sighting  distances  using  the  Fortran 
programs  TRANSECT  (Laake  et  al.  1979)  and 
HAZARD  and  HERMITE  (Buckland  1985).  Maxi- 
mum likelihood  estimates  and  large-sample  vari- 
ances were  found  using  the  procedure  of  Burnham 
et  al.  (1980: 135-136).  The  Fortran  program  SIZE- 
TRAN  (Drummer  and  McDonald  1987)  was  used  to 
test  the  hypothesis  of  independence  between  herd 
size  and  perpendicular  sighting  distance  using  a 
likelihood  ratio  test  and  thus  determine  if  the  detec- 
tion function  was  biased  by  herd  size. 

Herd  density  was  estimated  as  (Burnham  et  al. 
1980,  p.  18,  eq.  1.3): 

D  =  nf{0)/2L 


798 


BLAYLOCK:  DISTRIBUTION  OF  THE  BOTTLENOSE  DOLPHIN 


76°|00' 


76°  00 


Figure  1.— Coastal  survey  areas  and  bottlenose  dolphin  sightings  (dosed  circles) 
and  Chesapeake  Bay  mouth  survey  area  (enclosed  by  dark  lines)  with  dolphin  sight- 
ings (open  circles).  Dashed  line  represents  transit  during  coastal  surveys.  Sightings 
near  Fishermen's  Island  and  Cape  Henry  which  occurred  during  coastal  surveys 
were  included  only  in  the  coastal  survey  analyses. 


where  n  is  the  number  of  herds  detected  and  L  is 
the  transect  length  in  kilometers.  The  variance  of 
D  was  estimated  as  (Burnham  et  al.  1980,  p.  51,  eq. 
1.17): 

SHD)  =  Dnicvin)f  +  (cv(f(0))2]. 

Herd  size  was  not  significantly  different  between 
study  areas  (Kruskal-Wallis  test  (K-W  test),  x"  = 
0.9953,  df  =  2,  P  =  0.61,  Sokal  and  Rohlf  1981)  and 
sightings  were  pooled  to  determine  the  overall  mean 
herd  size.  Herd  sizes  were  not  normally  distributed 
(Fig.  2)  and  therefore  were  normalized  by  log  trans- 


formation to  calculate  the  geometric  mean  (Sokal 
and  Rohlf  1981)  and  its  variance.  Bottlenose  dolphin 
density  (P)  is  the_product  of  herd  density  0)  and 
mean  herd  size  (H).  The  variance  of  P,  following 
Goodman  (1960,  p.  710,  eq.  7)  is 


,2^    _  H's^jD)      DH^{H)      sHD)sHH) 

S   {r)  —  ,  +  —         —  ,  — 


niD) 


n{H) 


n{Dyn{H) 


with  710)  equal  to  the  number  of  herd  sightings  in 
the  survey  area  and  n{H)  equal  to  the  number  of 
herds  used  in  the  estimation  of  H.  This  assumes 


799 


FISHERY  BULLETIN:  VOL.  86,  NO.  4 


C/) 
Q 
OC 

lU 

I 


DC 
LU 
CD 


25 


20- 


15 


10- 


5- 


22 


r~i  .  r 


1     1 


o 

o 

O 

O 
in 

o     o     o     o     o 
ix)      r^      00      en     o 

o 

o 

o 

ro 

O 

2 

O 
in 

C\j 

io 

5^ 

in      ID      r^      i£>      ^ 
HERD  SIZE 

o 

^ 

ro 

§ 

Figure  2.— Distribution  of  bottlenose  dolphin  herd  sizes.  Numbers  above 
bars  denote  the  number  of  herds  in  that  size  class. 


independence  between  herd  size  and  perpendicular 
sighting  distance. 

Bottlenose  dolphin  abundance  is  the  product  of  P 
and  the  area  surveyed.  In  the  CBM  area  this  may 
be  extrapolated  to  the  total  area  if  the  transects  are 
distributed  randomly  with  respect  to  dolphin  sight- 
ings. 

The  recorder  did  not  distinguish  between  observ- 
er's sightings  when  recording  them,  thus  observer 
bias  was  not  investigated.  The  effects  of  sea  state 
and  sun  glare  on  detectability  were  not  investigated. 
Surveys  were  not  conducted  when  sea  states  were 
above  two  on  the  Beaufort  scale,  and  it  is  unlikely 
that  sea  state  influenced  the  results.  However,  the 
effect  of  glare  reduced  the  observers'  field  of  view, 
which  decreased  the  number  of  animals  detected  and 
resulted  in  an  underestimation  of  P. 

I  conducted  photographic  surveys  from  a  7  m  boat 
on  five  occasions  in  1980  and  six  in  1981  for  the 
purpose  of  identifying  individual  bottlenose  dolphins 
by  the  shape  of,  or  markings  on,  their  dorsal  fins. 
Contact  prints  of  the  35  mm  photographs  were 
examined  under  a  dissecting  microscope  at  40  x 
magnification. 

RESULTS 

Six  aerial  surveys  in  the  CBM  averaged  119.4  km 
per  survey,  covered  an  area  of  762  km^,  and  re- 
sulted in  five  herd  sightings  of  bottlenose  dolphins. 
Ten  surveys  along  the  southern  Virginia  coast  re- 
sulted in  49  herd  sightings.  Each  coastal  survey  was 
32.3  km  in  length  and  covered  an  area  of  65  km^. 


An  additional  survey  along  the  northern  Virginia 
coast  was  108  km  in  length,  covering  an  area  of  216 
km^,  and  resulted  in  two  herd  sightings. 

In  line  transect  the  distance  at  which  a  bottlenose 
dolphin  herd  is  sighted  is  assumed  to  be  indepen- 
dent of  its  size  (Burnham  et  al.  1980;  Seber  1986). 
Although  it  seems  reasonable  that  larger  herds 
would  be  detected  at  greater  distances,  analysis  of 
herd  size  and  sighting  distance  using  the  method  of 
Drummer  and  McDonald  (1987)  showed  no  signifi- 
cant size-bias  (P  >  0.05).  As  a  check,  I  also  regressed 
herd  size  against  perpendicular  sighting  distance. 
There  was  no  apparent  association  between  herd 
size  and  distance  from  the  transect  (r^  =  0.001) 
(Fig.  3).  The  geometric  mean  herd  size  was  14.4 
bottlenose  dolphins/herd  (SE  =  4.0,  n  =  56). 

Truncation  of  bottlenose  dolphin  sightings  at  1  km 
resulted  in  the  discarding  of  one  herd  sighting  in 
the  southern  coastal  area,  none  in  the  CBM,  and  one 
in  the  northern  coastal  area.  The  truncated  sighting 
in  the  northern  coastal  area  was  at  approximately 
1,200  m  from  the  transect  and  the  herd  was  ap- 
parently feeding  in  the  wake  of  a  trawler,  thus  the 
sighting  was  atypical  of  other  sightings  during  this 
study  and  probably  influenced  by  the  presence  of 
the  trawler  (see  Leatherwood  1975).  Both  sightings 
in  this  area  occurred  farther  offshore  than  sightings 
in  the  other  study  areas. 

Several  parametric  and  nonparametric  models 
were  investigated  for  fit  to  the  pooled  perpendicular 
sighting  distances  (Table  1).  None  of  the  models  dif- 
fered significantly  from  the  observed  distance  dis- 
tributions (chi-square  test,  P  >  0.05).  The  coefficient 


800 


BLAYLOCK:  DISTRIBUTION  OF  THE  BOTTLENOSE  DOLPHIN 


1.4 


I      ,2 


O 

LU 
C/5 

z 
< 

tr 


O 

DC 
U. 

LU 
O 


CO 
Q 


10 


0- 


r^  =  OOOI 

,              N=  56 

• 

• 
•• 

•  • 

• 

• 

• 

•    • 
• 

• 

#    .     • 

1 1 

•• 

•  • 

• 

•   •                          • 

1 r 

• 
1 1 

0     10  20   30  40  50  60  70  80  90  100  110  120  130  140  150  160 
HERD  SIZE 

Figure  3.— Scatterplot  of  sighting  distance  (in  kilometers)  versus  herd 
size  of  bottlenose  dolphins.  (Note  that  some  of  the  points  in  the  1-10  size 
class  and  the  interval  0-0.2  km  represent  more  than  one  herd.) 


Table  1  .—Models  used  in  calculation  of  the  detection  function  g{x) 
for  bottlenose  dolphin.  N  is  the  number  of  terms  used  in  the  model 
and  f(0)  is  f(x)  evaluated  at  the  transect.  SE[f(0)]  was  calculated 
assuming  asymptotic  normality  with  Z  =  1.96. 


Model 

N 

^"(0) 

SE(f"(0)] 

Reference 

Hermite  polynomial 

3 

2.849 

0.441 

Buckland  1985 

Hermite  polynomial 

4 

3.104 

0.522 

Buckland  1985 

Hazard  rate 

na 

3.004 

1.345 

Buckland  1985 

Fourier  series 

4 

3.323 

0.551 

Burnham  et  al. 

1980 

Negative  exponential 

na 

3.216 

0.936 

Burnham  et  al. 

1980 

Exp.  power  series 

2 

3.649 

2.198 

Burnham  et  al. 

1980 

Exp.  polynomial 

2 

3.001 

0.866 

Burnham  et  al. 

1980 

Half  normal 

na 

1.950 

0.398 

Burnham  et  al. 

1980 

of  variation  of  the  3-term  Hermite  polynomial  was 
slightly  less  than  that  of  the  4-term  (0.154  vs.  0.168), 
but  the  4-term  Hermite  polynomial  model  provided 
a  better  fit  to  the  observed  perpendicular  sighting 


distance  distribution  than  either  the  3-term  Hermite 
polynomial  or  the  4-term  Fourier  series  models 
(Table  2). 

The  appropriate  model  for  the  observed  perpen- 
dicular sighting  distances  should  fit  the  data  most 
closely  near  the  centerline  of  the  transect  (Schweder 
1977).  The  4-term  Hermite  polynomial  model  closely 
approximates  the  observed  sighting  distances  in  the 
interval  0-200  m  and  also  in  the  subsequent  inter- 
vals (Fig.  4). 

The  nonparametric  4-term  Hermite  polynomial 
model  yielded  an  estimate  of /(O)  =  3.104  (SE  = 
0.522).  Dolphin  density  in  the  southern  Virginia 
coastal  area  (3.446  dolphins/km-)  was  much  greater 
than  that  in  the  CBM  area  (0.159  bottlenose  dol- 
phins/km^); however,  the  abundance  estimates  are 
of  similar  magnitude  (219  vs.  121  bottlenose  dol- 
phins, respectively)  due  to  the  greater  area  sampled 


Table  2.— Observed  and  expected  distribution  of  bottlenose  dolphin  herd  sightings  by  distance  in- 
tervals perpendicular  to  the  transect  (PSD  in  meters)  with  chi-square  values.  Figures  in  parentheses 
are  degrees  of  freedom.  Expected  values  are  rounded  to  one  decimal  place  for  clarity  of  presen- 
tation. 


4-term  Fourier 

PSD 
(m) 

Observed 

4-ferm  Hermite 

3-term  Hermite 

series 

Expected 

x' 

Expected 

x' 

Expected 

x' 

0-200 

27 

27,2 

0.120E-2 

26.1 

0.320E-1 

27.4 

0.698E-2 

200-400 

10 

9.8 

0.441  E-2 

11.1 

0.117 

7.4 

0.913 

400-600 

9 

9.4 

0.205E-1 

8.2 

0.803E-1 

11.6 

0.593 

600-700 

5 

4.4 

0.819E-1 

4.5 

0.423E-1 

4.9 

0.273E-2 

700-800 

2 

2.3 

0.338E-1 

3.3 

0.819 

1.9 

0.197E-2 

800-1,000 

1 

1.0 

0.400E-3 

0.9 

0.169E-1 

0.7 

0.114E-2 

Cumulative  x^ 

0.137(1) 

1.108  (2) 

1.519(1) 

801 


FISHERY  BULLETIN:  VOL.  8fi.  NO.  4 


3.104 


> 

M 

Z 
111 

o 
>■ 


< 
a 
o 


DISTANCE   FROM  TRANSECT  (km) 

Figure  4.— Four-term  Hermite  probability  density  function  fit  to  histogram  of  bottle- 
nose  dolphin  sighting  frequency  and  perpendicular  distance  (rescaled  to  account  for 
the  "blind  spot"  beneath  the  aircraft).  Numbers  above  bars  denote  number  of  sight- 
ings in  interval. 


in  the  CBM  (Table  3).  CBM  and  coastal  surveys  were 
flown  sequentially  with  no  delay  between  them  and 
the  relatively  high  speed  of  the  aircraft  prevented 
counting  of  the  same  herd  twice.  Therefore,  the 
abundance  estimates  in  the  CBM  and  the  southern 
coastal  survey  areas  may  be  considered  additive  and 
totaled  340  bottlenose  dolphins  (±104,  95%  C.I.)- 
The  survey  altitude  limited  observations  of  herd 
composition  to  the  percentage  of  calves  in  each  herd. 
Bottlenose  dolphins  much  smaller  than  the  others 
and  accompanied  by  a  larger  bottlenose  dolphin 
were  considered  to  be  calves.  The  mean  percentage 


Table  3. — Summary  of  aerial  survey  results  of  bottlenose  dolphins. 
N  is  the  number  of  surveys;  L  is  the  total  length  of  transects  at  each 
location  in  km;  and  n  is  the  number  of  herd  sightings  within  one 
km  of  the  transect.  D  is  estimated  herd  density  (herds/km^);  P  is 
estimated  dolphin  density;  and  A  is  estimated  dolphin  abundance 
(standard  errors  in  parentheses). 


Survey 
location 

N 

L 

n 

6 

P 

A 

+  95% 
C.I. 

Chesapeake  Bay 
mouth 

6 

717 

5 

0.011 
(0.003) 

0.159 
(0.017) 

121 

(13) 

33 

Southern  Virginia 
coast 

10 

323 

48 

0.239 
(0.063) 

3.446 
(0.193) 

219 
(54) 

122 

Eastern  Shore 

1 

108 

1 

0.014 
(0.004) 

0.208 
(0.058) 

45 
(13) 

— 

of  calves  in  all  herds  from  all  study  areas  peaked 
in  June  at  9.5%  (SE  =  0.8,  n  =  3)  and  declined 
thereafter  until  September  (Fig.  5);  however,  there 
were  no  significant  differences  between  months 
(K-W  test,  r  =  9.1930,  df  =  5,  P  >  0.10).  Con- 
sidering the  total  study  period,  the  mean  percentage 
of  calves  in  herds  in  the  CBM  area  was  7.5%  (SE 
=  3.2%,  n  =  5);  in  the  southern  coastal  area,  4.3% 
(SE  =  1.0%,  n  =  49);  and  in  the  northern  coastal 
area,  9.0%  (SE  =  1.8%,  n  =  2).  The  mean  percent- 
age of  calves  in  herds  did  not  differ  significantly 
among  areas  (K-W  test,  x"  =  2.8196,  df  =  2,  P  = 
0.24). 

Bottlenose  dolphins  were  never  sighted  more  than 
1.6  km  from  shore  during  CBM  surveys  nor  during 
subsequent  surveys  up  to  8  km  offshore  of  the 
coastal  study  area.  Also,  bottlenose  dolphins  were 
not  found  in  depths  greater  than  10  m  except  in  the 
Eastern  Shore  area.  Plotting  of  bottlenose  dolphin 
sightings  (Fig.  1)  shows  a  uniform  distribution  along 
the  southern  coastal  area  with  some  clusters  of 
sightings  at  Cape  Henry  and  at  Cape  Charles. 

During  1980,  seven  bottlenose  dolphins  which 
were  recognizable  by  the  shape  of  the  trailing  edge 
of  their  dorsal  fins  were  identified  and  photo- 
graphed. In  1981,  17  individuals  identified  from 
dorsal  fin  photographs  included  5  which  had  been 
photographed  in  1980.  Thus,  of  the  19  recognizable 


802 


BLAYLOCK:  DISTRIBUTION  OF  THE  BOTTLENOSE  DOLPHIN 


individuals  present  during  either  of  those  two  years, 
at  least  26%  were  present  at  some  time  during  both 
summers. 


14 


o 
cc 

lU 

X 

z 

CO 

lU 

> 

< 


u 

GC 

UJ 

a. 


12- 


10- 


2- 


16 


13 


20 


MAY 


JUN 


JUL  AUG 

MONTH 


SEP 


OCT 


Figure  5.— Percentage  of  bottlenose  dolphin  calves  in  herds  by 
month.  Bars  represent  the  standard  error  of  the  mean  (horizontal 
line  within  bars)  and  vertical  lines,  95%  confidence  intervals.  Num- 
bers above  bars  denote  the  number  of  herds  sighted  per  month. 


DISCUSSION 

The  choice  of  a  model  for  g{x),  the  probability  of 
detecting  an  object  at  a  distance  x  from  the  tran- 
sect, is  the  primary  analytical  consideration  in  a  line 
transect  estimate  of  density  (Burnham  et  al.  1980; 
Seber  1982,  1986).  Burnharn  et  al.  (1980)  thoroughly 
review  the  subject  of  density  estimation  from  line 
transect  surveys  and  recommended  the  Fourier 
series  as  a  general  model  for  g(x).  However,  addi- 
tional models  which  meet  their  criteria  have  since 
been  proposed  (Bnckland  1985;  Seber  1986).  Buck- 
land  (1985)  suggested  the  use  of  a  model  where  the 
cosine  terms  in  the  Fourier  series  equation  are  re- 
placed by  Hermite  polynomials. 

Buckland  (1985)  warned  that  if  the  model  requires 
four  or  more  terms  to  fit  the  distributional  data,  one 
or  more  of  the  assumptions  of  line  transect  theory 
may  be  violated.  I  suggest  that,  in  aerial  surveys 


of  cetaceans,  the  primary  assumption  that  all  objects 
on  the  transect  are  observed  with  a  probability  of 
one  [giO)  =  1]  is  routinely  violated.  The  diving  be- 
havior of  cetaceans  during  different  activities  may 
vary  widely,  thus  the  probability  of  the  animals  be- 
ing at  the  surface  when  the  observers  pass  may  also 
vary.  Also,  active  dolphins  may  be  more  readily 
detected  than  resting  dolphins.  In  spite  of  this,  this 
assumption  is  somewhat  less  restrictive  than  the 
primary  assumption  of  strip  census  which  assumes 
that  all  objects  within  the  strip  are  detected.  If  the 
other  assumptions  are  met,  the  major  consequence 
of  failure  to  meet  the  assumption  of  ^'(0)  =  1  is  that 
density  will  be  underestimated. 

A  further  assumption  is  that  perpendicular  dis- 
tances are  measured  without  error.  Even  using  an 
inclinometer,  vertical  motion  of  the  aircraft  and 
inaccuracy  of  the  altimeter  introduce  error  into 
distance  measurements.  Grouping  distance  mea- 
surements into  discrete  intervals  is  a  logical  way  in 
which  to  compensate  if  the  model  used  is  robust  to 
grouping. 

The  assumption  of  random  location  of  transects 
with  respect  to  bottlenose  dolphin  distribution  was 
met  by  randomization  of  the  starting  point  of  each 
survey  in  the  CBM.  It  is  obvious  from  the  cluster 
of  sightings  at  Cape  Henry  and  Fisherman  Island 
that  bottlenose  dolphins  were  not  distributed  ran- 
domly in  the  coastal  study  area  (Fig.  1).  This  could 
occur  if  bottlenose  dolphins  were  counted  more  than 
once;  however,  their  movement  was  slow  compared 
with  that  of  the  observers  and,  because  longshore 
surveys  were  flown  immediately  upon  completion 
of  CBM  surveys,  it  is  unlikely  that  dolphins  were 
counted  more  than  once.  It  is  more  likely  that  the 
cluster  of  sightings  was  because  of  an  environmen- 
tal factor,  such  as  the  attraction  of  dolphins  to  con- 
centrations of  prey  in  fronts  between  estuary  and 
ocean  waters. 

According  to  Essapian  (1963),  mating  by  the 
bottlenose  dolphin  occurs  in  the  spring  and  birth 
occurs  about  one  year  later  (McBride  and  Kritzler 
1951;  Tavolga  and  Essapian  1957).  Mead  (1975), 
citing  True  (1891),  stated  that  "Information  received 
from  the  fishermen  at  the  Hatteras  fishery  indicated 
that  fetuses  were  generally  small  in  September,  in- 
creasing in  size  as  the  season  progressed."  This  im- 
plies that  natality  occurs  primarily  in  the  spring. 
Townsend's  (1914)  data  (also  cited  in  Mead  1975) 
suggest  an  additional  autumn  peak  in  natality.  The 
June  peak  in  the  percentage  of  calves  agrees  with 
those  observations  suggesting  a  spring  natality 
peak;  however,  because  of  the  slight  increase  in  the 


803 


FISHERY  Bl'LLKTIN:  VOL.  86.  NO.  4 


percentage  of  calves  in  September,  a  second  autumn 
peak  cannot  be  ruled  out. 

Resighting  of  26%  of  the  identifiable  bottlenose 
dolphins  in  2  successive  years  is  evidence  that  some 
of  these  return  to  the  same  area.  Although  the  prob- 
ability of  resighting  individuals  twice  in  2  successive 
years  is  low  if  the  individuals  are  transient,  knowl- 
edge of  the  length  of  stay  is  required  to  infer 
seasonal  residency.  A  study  similar  to  that  con- 
ducted on  bottlenose  dolphins  in  Argentina  (Wiir- 
sig  and  Wiirsig  1978)  could  provide  information  on 
the  length  of  individual  residency  and  should  be  con- 
sidered. This  would  facilitate  interpretation  of  the 
data  presented  here,  as  well  as  that  gathered  from 
currently  ongoing  surveys. 

Because  of  the  violation  of  several  important 
assumptions,  the  accuracy  of  the  density  and  abun- 
dance estimates  reported  here  is  difficult  to  assess. 
The  CETAP  (1982)  summer  average  density  esti- 
mate of  nearshore  Tursiops  in  the  mid-Atlantic 
region  was  0.0093  dolphins/km^.  This  is  much 
lower  than  my  estimate  of  0.159  dolphins/km-  in 
the  Chesapeake  Bay  mouth  and  3.446  dolphins/km- 
in  the  southern  coastal  region.  Besides  differences 
in  survey  altitude  and  airspeed,  one  possible  reason 
for  this  discrepancy  is  the  larger  area  surveyed  dur- 
ing the  CETAP  program.  If  the  coastal  Tursiops 
are  generally  found  close  to  shore  (within  2  km)  and 
the  area  surveyed  extends  far  beyond  this  distance, 
then  the  density  of  coastal  Tursiops  in  its  typical 
habitat  will  be  underestimated.  Alternatively,  a 
heterogeneous  coastal  distribution  could  account  for 
this  discrepancy. 

The  importance  of  an  average  bottlenose  dolphin 
density  estimate  which  may  be  used  as  an  index  of 
abundance  has  recently  been  emphasized  by  an  inci- 
dence of  disease  which  resulted  in  the  deaths  of  over 
200  Tursiops  along  the  Virginia  coast  and  over  400 
along  the  Mid- Atlantic  Bight  during  the  summer  of 
1987.^  The  rather  large  gap  in  the  coastal  Tursiops 
abundance  data  base  renders  assessment  of  the  im- 
pact of  the  1987  mortalities  on  local  Tursiops  stocks 
problematic.  Future  monitoring  of  the  coastal  Tur- 
siops may  provide  answers  as  to  the  rate  of  recovery 
and  allow  assessment  of  the  impact  of  future  catas- 
trophic events.  A  coordinated,  long-term  program 
to  monitor  coastal  Tursiops  abundance  would  per- 
mit temporal  comparisons  of  abundance  indices  and 
provide  a  greater  understanding  of  natural  popula- 
tion fluctuations.  Because  the  coastal  Tursiops 


^J.  G.  Mead,  Division  of  Mammals,  Smithsonian  Institution, 
Washington,  DC,  pers.  commun.  June  1988. 


inhabit  an  area  where  human  activity  is  rapidly  in- 
creasing, such  a  monitoring  program  should  receive 
high  priority. 

ACKNOWLEDGMENTS 

I  greatly  appreciate  the  participation  of  R.  Bow- 
man, S.  White,  and  especially  R.  A.  Byles  in  the 
aerial  surveys.  J.  G.  Mead  provided  welcome  advice 
and  imparted  to  me  much  of  his  personal  knowledge 
of  the  bottlenose  dolphin,  for  which  I  am  grateful. 
S.  T.  Buckland  and  T.  D.  Drummer  graciously  pro- 
vided me  with  Fortran  programs  for  line  transect 
analysis.  My  thanks  to  J.  A.  Musick,  R.  A.  Byles, 
G.  P.  Scott,  and  anonymous  Fishery  Bulletin  re- 
viewers who  made  especially  helpful  comments  and 
suggestions  on  earlier  drafts  of  the  manuscript.  This 
study  was  conducted  under  contract  No.  NA-80- 
FA-D-0008  to  H.  M.  Austin  from  the  National 
Marine  Fisheries  Service,  NOAA,  and  an  assistant- 
ship  to  the  author  from  the  Virginia  Institute  of 
Marine  Science. 

LITERATURE  CITED 

Blaylock,  R.  a. 

1985.    The  marine  mammals  of  Virginia.    Va.  Inst.  Mar.  Sci. 
Sea  Grant  Ed.  Ser.  No.  35,  37  p. 
Buckland,  S.  T. 

1985.    Perpendicular  distance  models  for  line  transect  sam- 
pling.   Biometrics  41:177-195. 
BuRNHAM,  K.  P.,  D.  R.  Anderson,  and  J.  L.  Laake. 

1980.    Estimation  of  density  from  line  transect  sampling  of 
biological  populations.    Wildl.  Monogr.  No.  72,  202  p. 
CETAP. 

1983.  A  characterization  of  marine  mammals  and  turtles  in 
the  mid-  and  north-Atlantic  areas  of  the  U.S.  outer  continen- 
tal shelf.  Cetacean  and  Turtle  Assessment  Program,  Univ. 
Rhode  Island.  Bur.  Land  Manage.  Contract  Rep.  NTIS 
PB83-2158.55,  570  p. 
Drummer,  T.  D.,  and  L.  L.  McDonald. 

1987.    Size  bias  in  line  transect  sampling.    Biometrics  43:13- 
21. 
Essapian,  F.  S. 

1963.    Observations  on  abnormalities  of  parturition  in  captive 
bottlenosed  dolphins,  TursiOTps  truncatus,  and  concurrent 
behavior  of  other  porpoises.    J.  Mammal.  44:405-414. 
Goodman,  L.  A. 

1960.    On  the  exact  variance  of  products.    J.  Am.  Stat.  Assoc. 
55:709-713. 
Laake,  J.  L.,  K.  P.  Burnham,  and  D.  R.  Anderson. 

1979.    User's  manual  for  program  transect.    Utah  State  Univ. 
Press,  Logan. 
Leatherwood,  S. 

1975.  Some  observations  of  feeding  behavior  of  bottle-nosed 
dolphins  (Tursiops  truncatus)  in  the  northern  Gulf  of  Mex- 
ico and  (Tursiops  cf  T.  gilli)  off  southern  California,  Baja 
California,  and  Nayarit,  Mexico.  Mar.  Fish.  Rev.  37(9): 
10-16. 


804 


BLAYLOCK:  DISTRIBUTION  OF  THE  BOTTLENOSE  DOLPHIN 


Leatherwood,  S.,  D.  K.  Caldwell,  and  H.  E.  Winn. 

1976.  WTiales,  dolphins,  and  porpoises  of  the  western  North 
Atlantic.  A  guide  to  their  identification.  U.S.  Dep.  Com- 
mer.,  NOAA  Tech.  Rep.  NMFS  Circ.  396,  176  p. 

McBride,  a.  F.,  and  H.  Kritzler. 

1951.    Obser\'ations  on  pregnancy,  parturition,  and  postnatal 
behavior  of  the  bottlenose  dolphin.    J.  Mammal.  32:251-266. 
Mead,  J.  G. 

1975.    Preliminary  report  on  the  former  net  fisheries  for  Tur- 
siops  truncatvs  in  the  western  North  Atlantic.    J.  Fish.  Res. 
Board  Can.  32:1155-1162. 
Mitchell,  E. 

1975.    Porpoise,  dolphin,  and  small  whale  fisheries  of  the 
world.  Status  and  problems.    lUCN  Monogr.  No.  3,  129  p. 
Int.  Union  Conserv.  Nat.  Nat.  Res.,  Morges,  Switzerland. 
Schweder,  T. 

1977.  Point  process  models  for  line  transect  experiments. 
In  J.  R.  Barba,  F.  Brodeau,  G.  Romier,  and  B.  Van  Cutsem 
(editors),  Recent  developments  in  statistics,  p.  221-242. 
North-Holland  Publ.  Co.,  N.Y. 

Seber,  G.  a.  F. 

1982.    The  estimation  of  animal  abundance  and  related  param- 


eters.   2d  ed.    Charles  Griffin  &  Company,  Ltd.,  London 
and  High  Wycombe. 
1986.    A  review  of  estimating  animal  abundance.    Biometrics 
42:267-292. 

SOKAL,  R.  R.,  AND  F.  J.  ROHLF. 

1981.    Biometry.    2d    ed.    W.  H.  Freeman  and  Co.,  San 
Franc. 
Tavolga,  M.  M.,  and  F.  Essapian. 

1957.    The  behavior  of  the  bottlenose  dolphin  {Tursiops  trun- 
catvs):  Mating,  pregnancy,  parturition,  and  mother-infant 
behavior.    Zoologica  42:11-31. 
TOWNSEND,  C.  H. 

1914.    The  porpoise  in  captivity.    Zoologica  1:289-299. 
True,  F.  W. 

1891.    Observations  on  the  life  history  of  the  bottlenose  por- 
poise.   Proc.  U.S.  Nat.  Mus.  Vol  XHI,  No.  812.  (1890),  p. 
197-203. 
WCrsig,  B.,  and  M.  WOrsig. 

1978.  Occurrence  and  group  organization  of  Atlantic  bottle- 
nose porpoises  (Tursiops  truncatus)  in  an  Argentine 
bay.    Biol.  Bull.  (Woods  Hole)  154:348-359. 


805 


NOTES 


THE  FEEDING  HABITS  OF  TWO  DEEP 

SLOPE  SNAPPERS,  PRISTIPOMOIDES  ZONATUS 

AND  P.  AURICULA,  AT  PATHFINDER  REEF, 

MARIANA  ARCHIPELAGO 

The  lutjanid  snappers  belonging  to  the  genus 
Pristipomoides  are  among  the  most  prized  and 
valuable  commercial  fish  resources  in  tropical  and 
subtropical  regions  of  the  Pacific  Ocean  (Polovina 
and  Ralston  1987).  These  fishes  normally  inhabit 
escarpments  with  high  vertical  relief.  During  an  in- 
tensive bottom  fish  survey  conducted  at  Pathfinder 
Reef  in  the  Mariana  Archipelago,  two  species  of 
snappers,  P.  zonatus  and  P.  auricilla,  comprised 
more  than  68%  of  the  total  catch  (Polovina  1985). 
Depth  of  capture  data  on  these  two  species  demon- 
strated overlap  in  their  bathymetric  distribution 
(Polovina  et  al.  1985;  Ralston  and  Williams  1988). 
Numerous  feeding  studies  have  been  conducted 
on  snappers  that  inhabit  shallow  (<100  m)  water; 
however,  published  information  on  the  diets  of  deep 
slope  snapper  species  in  the  tropical  Pacific  is  nearly 
nonexistent  (see  review  by  Parrish  1987).  Kami 
(1973)  noted  prey  items  for  four  species  of  Pristi- 
pomoides in  Guam  with  total  sample  sizes  ranging 
from  one  to  six  individuals,  and  Kluegel  (1921) 
presented  information  on  the  diet  oiP.filaTnentosus 
in  Hawaii  based  upon  four  fish.  The  present  paper 
examines  how  two  coexisting  species,  P.  zonatus  and 
P.  auricilla,  partition  food  resources.  With  recent 
efforts  to  expand  and  develop  commercial  fisheries 
for  tropical  snappers  as  well  as  other  deep  dwell- 
ing bottom  fishes,  there  is  an  increasing  need  to 
recognize  the  resources  that  support  these  fishes. 
The  results  presented  here  will  therefore  be  useful 
for  developing  fishery  management  strategies  and 
will  lead  to  a  better  understanding  of  the  ecology 
of  tropical  demersal  communities. 

Methods 

Stomach  and  spew  samples  from  106  P.  zonattis 
and  72  P.  auricilla  were  collected  at  Pathfinder 
Reef  during  an  intensive  fishing  experiment  on 
10-19  April  and  5-7  May  1984.  Located  in  the  Mari- 
ana Archipelago  at  lat.  16°30'N,  long.  143°05'E, 
Pathfinder  Reef  is  a  circular,  volcanic  pinnacle  ris- 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


ing  to  about  16  m  beneath  the  surface.  The  fishes, 
ranging  from  30.2  to  44.4  cm  fork  length  (x  = 
38.4  cm,  standard  deviation  =  2.81),  were  caught 
with  hook  and  line  on  hydraulic-powered  gurdies. 
The  terminal  rig  and  gurdy  specifications  are 
described  in  Uchida  and  Uchiyama  (1986).  While 
fishing,  the  vessel  was  usually  allowed  to  drift  over 
the  banks  and  steep  slopes,  targeting  species  in  the 
150-275  m  depth  range.  Our  study  species  were  cap- 
tured mainly  in  depths  between  180  and  220  m.  Fish- 
ing was  conducted  around  the  entire  perimeter  of 
the  bank  during  daylight  hours  (Polovina  1986). 

Typical  of  feeding  studies  conducted  on  deepwater 
species  with  swimbladders,  regurgitation  of  stomach 
contents  posed  serious  problems  (Bowman  1986). 
The  rapid  ascent  to  the  surface  forced  most  of  the 
stomachs  to  evert  and  lose  an  unknown  quantity  of 
the  contents.  Many  food  items,  however,  were 
caught  in  the  throat  or  gill  rakers,  picked  out,  and 
saved.  These  items,  referred  to  as  spews,  and  full 
stomachs  were  frozen  and  returned  to  the  labora- 
tory for  analysis. 

Laboratory  procedures  for  examination  of  the 
samples  were  similar  to  those  employed  by  Harrison 
et  al.  (1983).  Briefly,  food  samples  were  sorted, 
counted,  and  identified  to  the  lowest  practical  taxon. 
The  volume  of  prey  items  was  measured  by  water 
displacement.  Fishes  were  predominantly  identified 
by  osteological  and  external  anatomical  characters 
and  morphometries.  Invertebrates  were  identified 
by  undigested  hard  parts  and  external  morpho- 
logical features  including  shells  for  gastropods  and 
exoskeletons  for  crustaceans. 

To  analyze  the  data,  we  used  percent  frequency 
of  occurrence  to  provide  a  qualitative  picture  of  the 
food  spectrum  and  percent  volume  of  prey  to  de- 
scribe relative  biomass  of  prey  items  (Hyslop  1980). 
Because  a  high  percentage  of  the  diets  was  com- 
posed of  urochordates,  we  did  not  employ  any 
numerical  analysis  of  the  prey  items.  These  pelag- 
ic, colonial  tunicates  (all  Pyrosoma  spp.)  did  not 
occur  in  discrete  units  and  were  thus  difficult  to 
count. 

An  interspecific  comparison  of  the  two  snapper 
species  requires  some  measure  of  diet  overlap  and 
niche  breadth.  Diet  overlap  (Q)  was  computed  by 
using  the  formula  developed  by  Morisita  (1959)  and 

807 


modified  by  Horn  (1966).  Q  is  formulated  as 


C,  = 


2  ^  Pa  ■  Pjh 

j  s 

J.  p,ir  +  2!  pj, 


h  =  l 


h  =  l 


where  p,;,  and  Pjj,  are  the  biomass  proportions  of  a 
prey  item  h  in  the  diets  of  species  i  and  j,  respec- 
tively, and  s  is  the  total  number  of  major  prey  taxa 
in  the  food  spectrum.  C^  varies  from  zero,  when 
there  is  no  overlap  between  the  diets  of  species  i 
andy,  to  one,  when  all  prey  items  are  in  equal  pro- 
portions. Niche  breadth  (B)  for  each  species  was 
computed  by  using  the  formula  developed  by  Levins 
(1968): 


B;    = 


1 


crustaceans,  must  have  been  captured  at  the  sub- 
stratum. Conversely,  the  72  food  samples  from  P. 
auricilla  were  composed  of  88.2%  invertebrates  and 
11.8%  fishes  by  volume;  all  were  predominantly 
pelagic  forms.  Major  invertebrate  prey  included  the 
pelagic  heteropod  Atlanta  spp.,  the  pelagic  tunicate 
Pyrosoma  spp.,  and  numerous  species  of  cavolinid 
pteropods.  Few  fishes,  most  of  them  small  and 
unidentifiable,  were  eaten  by  this  snapper  species. 

The  dietary  overlap  value  (Q)  was  calculated  to 
be  0.04.  Based  on  the  Langton  (1982)  convention  of 
0.00-0.29  as  the  low  overlap,  0.30-0.60  as  the 
medium  overlap,  and  X).60  as  the  high  overlap,  very 
little  overlap  occurred  between  the  diets  of  the  two 
snappers  at  Pathfinder  Reef. 

The  niche  breadth  values  (B)  calculated  for  the 
two  species  indicated  P.  zonatus  had  a  higher  food 
breadth  (3.82,  .s  =  10)  than  P.  auricilla  (2.05,  s  = 
6),  suggesting  more  food  specialization  among  the 
latter.  Evenness  in  the  proportion  of  the  diet  attrib- 
uted to  each  prey  type,  however,  was  similar  for  the 
two  species  (5„  =  0.38  in  P.  zonatus;  B„  =  0.34  in 
P.  auricilla). 


where  again,  p^)^  is  the  biomass  proportion  of  a 
prey  item  h  in  the  diet  of  species  i  and  s  is  the  total 
number  of  major  prey  taxa.  The  breadth  values 
range  from  one,  when  prey  items  consist  only  of  one 
category,  to  s,  when  all  food  items  are  in  equal  pro- 
portion in  the  same  diet.  These  breadth  values  were 
then  normalized  as  B„  =  Bis,  which  ranges  from  a 
value  of  zero,  representing  the  most  uneven  distribu- 
tion of  prey  composition  in  the  diet,  to  one,  repre- 
senting a  totally  even  distribution.  For  the  calcula- 
tion of  both  breadth  and  overlap  indexes,  only  prey 
items  identified  at  least  to  the  family  level  were 
used. 

Results 

The  diets  of  P.  zonatus  and  P.  auricilla  differed 
considerably  from  each  other  (Table  1).  By  volume, 
the  106  food  samples  from  P.  zonatus  collected  for 
this  study  were  composed  of  59.0%  invertebrates 
and  41.0%  fishes.  The  dominant  invertebrate  prey 
included  the  pelagic  tunicate  Pyrosoma  spp.  and 
galatheid  crabs,  nearly  all  Munida  japonica.  The 
most  frequently  occurring  fishes  in  the  diet  were  the 
ophichthid  eel,  Shultzidia  johnstonensis,  and  the 
symphysanodontids  Symphysanodon  maunaloe  and 
iS.  typv^.  In  general,  P.  zonatus  preyed  heavily  upon 
benthic  organisms.  Many  of  the  prey  items,  such  as 
echinoderms,  octopods,  and  the  various  benthic 


Discussion 

As  previously  mentioned,  a  few  fragmentary 
reports  (cf.  Parrish  1987)  from  various  localities 
have  addressed  the  trophic  relationships  of  any 
tropical  snapper  inhabiting  waters  deeper  than  100 
m.  He  further  attributes  this  lack  of  information  to 
the  normally  remote  fishing  localities  and,  most  of 
all,  to  the  loss  of  stomach  contents  through  regur- 
gitation during  capture. 

The  problem  of  regurgitation  has  plagued  trophic 
studies  of  demersal  fishes,  regardless  of  whether 
fishing  involved  trawls  (Mauchline  and  Gordon  1984; 
Clark  1985;  Bowman  1986)  or  hook  and  line  (Kluegel 
1921;  Forster  etal.  1970;  Seki  1984).  Likewise,  most 
food  samples  for  our  study  were  salvaged,  regurgi- 
tated spe wings  retained  in  the  mouth,  throat,  or  gill 
rakers  of  the  fishes.  It  is  possible  that  the  material 
occurring  as  spews  may  consist  predominantly  of 
certain  prey  items  more  likely  retained  because  of 
size  or  some  morphological  structure,  thereby  result- 
ing in  a  biased  interpretation  of  the  diet.  We  never- 
theless employ  the  assumption  that  what  is  recov- 
ered is  representative  of  the  diets  at  the  time  of 
capture. 

Based  upon  depth  of  capture  information,  P. 
zonatus  and  P.  auricilla  occupy  nearly  the  same 
habitat,  and  considerable  spatial  overlap  occurs  in 
their  foraging  zones  (Polovina  1986;  Ralston  and 


808 


Williams  1988).  During  submersible  dives  at  John- 
ston Atoll,  Ralston  et  al.  (1986)  verified  this  cohabi- 
tation with  visual  observations  of  the  two  species. 
PHstipomoides  zonatus  were  observed  between  215 
and  250  m  (median,  230  m)  and  P.  auricilla  between 
205  and  295  m  (median,  240  m).  Our  dietary  anal- 
ysis suggests  that  these  two  demersal  species  par- 
tition food  resources  by  selecting  prey  from  differ- 
ent microhabitats.  Pristipomoides  zonatus  is  best 
described  as  a  demersal  carnivore,  with  its  diet  con- 
taining benthic  and  demersal  invertebrates  together 
with  tunicates  and  small  fishes.  In  contrast,  P. 
auricilla  feeds  primarily  on  large  pelagic  plankton, 
as  evidenced  by  the  abundance  of  heteropods, 
pteropods,  and  tunicates  among  the  prey  items. 


Kami  (1973)  also  found  tunicates  {Pyrosoma  spp.) 
in  four  of  the  five  P.  auricilla  food  samples  in  Guam. 
The  differences  in  diet  composition  are  consistent 
with  the  suggestion,  based  upon  catch  rates  and  the 
taking  of  a  baited  hook,  that  P.  zonatus  is  the  more 
aggressive  predator  of  the  two  species  (Polovina 
1986). 

Although  our  study  revealed  little  overlap  be- 
tween the  diets  of  P.  zonatus  and  P.  auricilla,  the 
common  occurrence  of  Pyrosoma  spp.  in  the  diets 
of  both  species  seems  significant.  Similarly,  these 
tunicates  were  also  found  among  the  stomach  con- 
tents of  three  other  congeneric  species  (Kami  1973; 
Parrish  1987).  Kashkina  (1987)  reported  intensive 
predation  on  pyrosomes,  as  well  as  salps,  among 


Table  1.— Diet  composition  of  Pristipomoides  zonatus  and  P.  auricilla  at  Pathfinder  Reef, 

f^/lariana  Archiipelago. 


Pristipomoides  zonatus 

Pristipomoides  auricilla 

(N  = 

=   106) 

{N 

=   72) 

Species 

%  volume 

%  frequency 

%  volume 

%  frequency 

Invertebrates 

Hydrozoa 

Siphonophora 

— 

— 

3.2 

20.8 

Ctenophora 

0.3 

0.9 

— 

— 

Polychaeta 

0.3 

0.9 

5.4 

15.3 

Gastropoda 

0.1 

0.9 

0.3 

4.2 

Atlantidae 

— 

— 

0.9 

12.5 

Cavolinidae 

0.2 

4.7 

38.1 

72.2 

Cephalopoda 

0.3 

0.9 

7.4 

2.8 

Teuthoidea 

— 

— 

0.2 

1.4 

Octopoda 

0.1 

0.9 

— 

— 

Crustacea 

2.6 

10.4 

5.5 

44.4 

Stomatopoda 

0.3 

0.9 

0.3 

1.4 

Euphausiacea 

Euphausiidae 

— 

— 

0.7 

4.2 

Decapoda 

Caridea 

0.5 

2.8 

0.3 

2.8 

Pandalidae 

1.2 

2.8 

— 

— 

Palinura 

— 

— 

0.7 

1.4 

Anomura 

Galatheidae 

19.6 

28.3 

— 

— 

Brachyura 

17.1 

13.2 

0.2 

1.4 

Echlnodermata 

Ophiuroidea 

0.1 

0.9 

— 



Tunicata 

Pyrosomatidae 

16.3 

34.9 

25.0 

37.5 

Fishes 

Osteichthyes 

(Unid.  fishes) 

16.3 

22.6 

8.7 

16.7 

Anguilliformes 

8.2 

7.6 

— 



Ophichthidae 

8.6 

10.4 

— 

— 

Myctophiformes 

— 

— 

2.5 

1.4 

Ophidiiformes 

Ophidiidae 

0.1 

0.9 

— 

— 

Perciformes 

Serranidae 

4.0 

1.9 





Symphysanodontidae 

3.1 

5.7 

— 

— 

Chaetodontidae 

0.1 

0.9 

— 



Gempylidae 

— 

— 

0.6 

2.8 

Tetraodontiformes 

Balistidae 

0.6 

0.9 

— 

— 

809 


numerous  pelagic  and  demersal  fish  species.  Origi- 
nally thought  to  be  of  little  nutritional  value,  these 
tunicates  have  been  found  to  contain  filtered  con- 
centrations of  phytoplankton  and  microzooplankton, 
thereby  elevating  the  preys'  food  value.  Regional 
and  highly  localized  oceanographic  processes  will 
affect  the  distribution  of  such  potential  planktonic 
prey,  and  exploitation  of  these  resources  may  influ- 
ence the  local  distribution  of  predator  species  (Brock 
and  Chamberlain  1968;  Bray  1981).  Deepwater 
snappers  are  most  abundant  on  slopes  of  upcurrent 
exposure  and  near  underwater  headlands  at  John- 
ston Atoll  (Ralston  et  al.  1986).  These  abundance 
patterns  were  attributed  to  planktonic  concentra- 
tions created  by  mesoscale  oceanographic  processes 
as  noted  with  other  fishes  on  bank  or  slope  habi- 
tats (Isaacs  and  Schwartzlose  1965;  Pereyra  et  al. 
1969). 

Polovina  (1986)  suggested  that  fishing  may  selec- 
tively deplete  one  species,  such  as  P.  zonatus, 
preferentially  over  another  (P.  auricilla)  and  there- 
by alter  the  species  composition  in  a  given  locality. 
With  the  small  degree  of  dietary  overlap  between 
the  two  species  in  this  study,  such  selective  removal 
of  P.  zonatus  will  decrease  predation  pressure  on 
the  demersal  prey  resources  of  this  species  and,  as 
evidenced  in  Larson  (1980),  may  ultimately  allow 
greater  niche  breadth  for  coexisting  predator 
species. 

In  conclusion,  this  study  has  provided  qualitative 
insight  into  dietary  habits  of  two  sympatric,  deep- 
water  species  and  has  permitted  some  inferences 
regarding  their  ecology.  Much  more  study  is  needed 
to  comprehend  fully  the  role  of  these  predators  in 
the  ecosystem.  Logistical  constraints,  including  the 
problem  of  regurgitation,  will  continue  to  make 
quantitative  assessments  of  diet  a  difficult  task  un- 
til new  capture  methodologies  are  developed.  How- 
ever, the  rewards  in  improved  understanding  of 
deepwater  ecology  and  increased  ability  to  manage 
these  valuable  stocks  suggest  that  the  efforts  will 
be  justified. 

Acknowledgments 

We  thank  G.  W.  Boehlert,  R.  E.  Bowman,  C.  B. 
Grimes,  J.  D.  Parrish,  J.  J.  Polovina,  S.  Ralston,  and 
the  two  anonymous  reviewers  for  their  helpful  com- 
ments on  various  drafts  of  the  manuscript.  This 
paper  is  a  result  of  the  Resource  Assessment  Inves- 
tigation of  the  Mariana  Archipelago  at  the  South- 
west Fisheries  Center  Honolulu  Laboratory,  Nation- 
al Marine  Fisheries  Service,  NOAA. 


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Southwest  Fisheries  Center  Honolulu 

Laboratory 
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Michael  W.  Callahan 

Hawaii  Cooperative  Fishery  Research  Unit 
University  of  Hawaii 
Honolulu,  HI  96822 


SEASONALITY  AND  DEPTH  DISTRIBUTION 

OF  LARVAL  FISHES  IN 

THE  NORTHERN  GULF  OF  MEXICO 

ABOVE  LATITUDE  26°00  N 

Justification  and  Methods 

Information  on  early  life  stages  of  fishes  is  impor- 
tant for  a  better  understanding  of  recruitment  pro- 
cesses and  for  the  proper  management  of  fisheries. 
Knowledge  of  seasonal  occurrence  and  depth  dis- 
tribution of  larval  fishes  is  essential  for  planning  and 
scheduling  ichthyoplankton  cruises  (Colton  et  al. 
1979)  and  juvenile  surveys,  so  that  sampling  for 
target  species  can  be  concentrated  during  periods 
and  at  depths  where  effort  will  be  most  effective 
(Saville  1964).  In  addition,  knowledge  of  the  seasonal 
occurrence  of  early  life  stages  is  an  important  aid 
in  identifying  larvae.  Because  eggs  and  yolk-sac  lar- 
vae are  planktonic  for  only  a  relatively  few  days 
after  being  spawned,  the  presence  and  distribution 
of  early  life  stages  also  suggests  proximity  of  adult 
spawning  concentrations  (Houde  1974),  aiding  the 
definition  of  spawning  areas  and  seasonal  spawn- 
ing migrations  of  adults.  Since  some  commercial  and 
recreational  fisheries  (e.g.,  red  drum,  Sciaenops 
ocellatus,  and  black  drum,  Pogonias  cromis)  exploit 
spawning  aggregations,  encroachment  on  these 
aggregations  could  have  an  adverse  impact  on  the 
fishery. 

Colton  et  al.  (1979)  summarized  larval  seasonality 
data  and  spawning  areas  for  marine  continental 
shelf  fishes  between  Nova  Scotia  and  North  Caro- 
lina; whereas,  Herrema  et  al.  (1985)  inferred  spawn- 
ing seasons  of  coastal  fishes  off  eastern  Florida 
based  on  examination  of  enlarged  gonads.  The  sea- 
sonal occurrence  of  larvae  of  many  species  from  the 
northern  Gulf  of  Mexico  (GOMEX),  however,  is  not 
well  documented.  The  northern  GOMEX  is  herein 
defined  as  waters  north  of  lat.  26°00'N;  this  area 
approximates  the  U.S.  Fishery  Conservation  (i.e.. 
Exclusive  Economic)  Zone.  For  discussion,  the  study 
area  was  subdivided  into  three  regions  (Fig.  1)  based 
on  longitude  as  follows:  eastern  GOMEX  (waters 
east  of  long.  86°00'W),  central  GOMEX  (those 
between  86°00'W  and  94°00'W),  and  western 
GOMEX  (waters  west  of  94°00'W).  Seasonality  data 
are  scattered  throughout  the  grey  literature,  and 
many  studies  have  focused  on  either  select  taxa  or 
are  limited  in  spatial  or  temporal  coverage.  The  most 
comprehensive  studies  of  the  larval  ichthyofauna 
community  in  the  northern  GOMEX  were  those  of 
Houde  et  al.  (1979)  from  continental  shelf  waters 


FISHERY  BULLETIN:  VOL.  86,  NO.  4.  1988. 


811 


Figure  1.— Location  of  the  northern  Gulf  of  Mexico  (GOMEX)  and  its  subregions.  Studies  conducted  in  waters  east  of  long.  86°00'W 
are  considered  northeastern  GOMEX,  those  between  86°00'W  and  94°00'W  are  north-central  GOMEX,  and  west  of  94°00'W  are 
northwestern  GOMEX. 


off  west  Florida,  and  Finucane  et  al.  (1977,  1979b) 
from  the  south  Texas  outer  continental  shelf.  Ditty 
(1986)  presented  data  on  seasonality  of  larval  fishes 
from  neritic  continental  shelf  waters  off  Louisiana 
that  included  a  discussion  of  peak  seasonal  occur- 
rence of  abundant  taxa;  however,  those  data  were 
limited  in  areal  coverage,  and  there  were  significant 
gaps  in  the  temporal  occurrence  of  many  taxa. 
Therefore,  data  on  larvae  of  approximately  200 
coastal  and  oceanic  fishes  from  61  families  were 
compiled  from  unpublished  plankton  surveys\  as 
well  as  other  published  studies  from  throughout  the 
northern  GOMEX,  to  further  clarify  the  seasonal- 
ity and  peak  seasonal  occurrence  (Table  1),  and 
depth  distribution  (Table  2)  of  larval  fishes  from  this 
area.  Since  the  occurrence  of  early  developmental 
stages  of  fishes  suggests  recent  spawning  (Colton 
et  al.  1979;  Ruple  1984),  only  studies  that  primari- 
ly collected  larvae  <10  mm  SL  were  used.  Because 
the  taxonomy  of  larvae  of  many  northern  GOMEX 
fishes  (e.g.,  most  exocoetids,  blennies,  and  gobies) 
are  poorly  understood,  no  attempt  was  made  to  com- 
pile seasonality  or  depth  distribution  data  for  these 
taxa  or  for  anguilliform,  myctophiform,  or  salmoni- 
form  fishes;  other  poorly  understood  taxa  (e.g.,  en- 


^Louisiana  Department  of  Wildlife  and  Fisheries.  P.O.  Box 
98000,  Baton  Rouge,  LA  70898-9000. 


graulids  and  cynoglossids)  were  assigned  only  to 
genus. 

Discussion 

Although  not  all  northern  GOMEX  ichthyoplank- 
ton  studies  were  readily  comparable  because  of 
differences  in  gear  and  tow  type,  plankton  net  mesh 
size,  and  seasonal  and  areal  coverage  (Table  3),  few 
major  discrepancies  in  either  seasonality  or  peak 
seasonal  occurrence  of  larvae  resulted  from  such  dif- 
ferences. For  example,  Pearson  (1929)  suggested  a 
secondary  spawning  from  late  July  to  November  for 
black  drum  off  Texas,  but  these  dates  have  not  been 
reported  from  elsewhere  in  the  literature.  Likewise, 
Finucane  (1976)  reported  round  scad,  Decapterus 
punctatus,  <6  mm  SL  in  December-January,  but 
based  on  sampling  at  the  same  location  in  subse- 
quent years  (Finucane  et  al.  1977,  1979b)  and  the 
seasonal  occurrence  of  this  species  as  suggested  by 
others  (Table  1),  these  may  have  been  larvae  of  the 
rough  scad,  Trachurus  lathami,  rather  than  those 
of  round  scad.  Houde  et  al.  (1979)  collected  larvae 
of  Spanish  sardine,  Sardinella  aurita,  during  all 
months  of  their  Florida  continental  shelf  survey; 
however,  their  winter  occurrences  of  Spanish  sar- 
dine were  only  from  the  southern  part  of  the  survey 
area  (i.e.,  <26°00'N).  This  may  account  for  the  dis- 


812 


Table  1.— Seasonality  (X)  and  peak  seasonal  occurrence  (*)  of  larval  fishes  (<10  mm  SL)  in  the  northern  Gulf  of  IVIexico  (GOfVlEX)  above 
lat.  26°00  N.  Sources  1-31  and  75  are  studies  conducted  in  the  northeastern  GOMEX  (waters  east  of  long.  86°00  W);  33-59  and  74, 
north-central  GOMEX  (those  between  86°00  W  and  94°00  W);  61-73,  northwestern  GOIVIEX  (waters  west  of  94°00  W);  and  23,  25,  32, 
48,  60,  and  76-80  are  Gulf-wide  studies.  Assignment  of  taxa  to  Families  follows  Robins  et  al.  (1980)  except  Epigonus  sp.  and  Sym- 
physanodon  typus  which  follows  Johnson  (1984).    Numbers  in  Source,  see  end  of  table. 


Family 

Taxa 

J 

F 

M 

A 

M 

J 

J 

A 

s 

0 

N 

D 

Source 

Elopidae 

Elops  saurus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

1,2,41,54,61,63,66 

Albulidae 

Megalops  atlanticus 
Albula  vulpes 

X 

X 
X 

X 

X 

2,6 

54,66 

Clupeidae 

Brevoortia  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

1-3,61-63 

B.  patronus 

X 

X 

X 

X 

X 

33,40-42,46,47,49,53,55, 
57-59,61-63,66,69,74 

B.  smithi 

X 

X 

X 

X 

5,55 

Etrumeus  teres 

* 

X 

X 

X 

X 

X 

2,5,12,29,40,41,43,50-52 
59,61,63,66,68 

Harengula  jaguana 

X 

X 

* 

• 

* 

X 

X 

X 

1-3,5,30,40,46,47,50-53, 
56-59,61-63,66,68,69 

Opisthonema  oglinum 

X 

X 

• 

* 

* 

* 

X 

X 

X 

2,5,31,40,46,50-52, 
56-59,61-63,68,69 

Sardinella  auhta 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,22,50-52,56,59,61, 
63,68 

Engraulidae 

Anchoa  spp. 

X 

X 

* 

* 

* 

* 

X 

X 

X 

1-3,23,25,40,41,46,47, 
53,56-59,61-64,66,68,69 

Anchoviella  1  Engraulis 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

40,41,46,61-63,68 

Gobiesocidae 

Gobiesox  strumosus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

1,3,40,41,46,47,56,58, 
59,66,68 

Ogcocephalidae 

Ogcocephalus  sp. 

X 

X 

X 

68 

Bregmacerotidae 

Bregmaceros  atlanticus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,4,40,59,61-64,68 

B.  canton 

X 

X 

X 

X 

X 

X 

X 

* 

* 

* 

* 

X 

2,4,40,59.64 

B.  houdei 

X 

X 

X 

X 

X 

* 

* 

* 

* 

2,4,64 

B.  macclellandi 

X 

X 

X 

X 

X 

X 

X 

2,4 

Gadidae 

Uroptiycis  spp. 
U.  cirrata 
U.  florldanus 

X 
X 
X 

X 
X 

X 

X 

X 

2,40,41,57.59,61-63,68 

64 

63 

Ophidiidae 

Brotula  barbata 

X 

X 

X 

40,59,64 

Lepophidium  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

18,40,59,63,68 

Ophidian  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

40,59,61-63,68 

O.  selenops 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

18,40 

Ophidian  Type  1 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

18 

Ophidian  Type  2 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

18 

Otaphidium  omostigmum 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

18,68 

Carapidae 

Carapus  bermudensis 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,63 

Echiadan  sp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,64 

Exocoetidae 

Hemiramphus  balaa 
H.  brasiliensis 

X 

X 

X 

X 

X 

X 

2 
2 

Hyparhamphus  unifasciatus 

X 

X 

X 

X 

X 

X 

X 

X 

2,40,69 

Belonidae 

Ablennes  hians 

X 

X 

62 

Atherinidae 

Membras  martinica 

X 

X 

X 

X 

2,40,41,46,47,58,69 

Holocentridae 

Adioryx  vexillarius 
Holocentrus  sp. 

X 

X 

2 

40 

Caproidae 

Antigania  spp. 
A.  capros 

X 

X 

X 
X 

X 

2 
2 

Trachipteridae 

Trachipterus  sp. 

X 

59 

Fistulariidae 

Fistulaha  sp. 

X 

2 

Centriscidae 

Macrorhamphosus  scalapax 

X 

X 

2,40,41,59,63,64 

Serranidae 

Anthias  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,41,61,63,64 

Centrapristis  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

41,53,59,61-64,68 

C.  striata 

X 

X 

X 

X 

X 

X 

X 

2,7 

Diplectrum  spp. 

X 

X 

X 

X 

* 

* 

* 

* 

X 

X 

X 

X 

53,59,61-64,68 

D.  farmasum 

X 

X 

X 

♦ 

* 

X 

X 

• 

* 

X 

X 

2,7 

Epinephelus  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,64,68 

Goniaplectrus  hispanus 

X 

64 

Hemanthias  aureorubens 

X 

X 

X 

X 

X 

X 

X 

2 

H.  leptus 

X 

2,40 

H.  vivanus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,61,63,64 

Holanthias  martinicensis 

X 

X 

64 

Lioprapoma  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,61,63,64 

Myctoperca  spp. 

X 

64 

Plectranthias  garrupellus 

X 

2 

Serraniculus  pumilio 

X 

* 

• 

* 

* 

X 

X 

2,7,40,61-63 

Serranus  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,63,64,68 

813 


Table  ^.— Continued. 


Family 

Taxa 

J 

F 

M 

A 

M 

J 

J 

A 

s 

0 

N 

D                    Source 

Grammistidae 

Pseudogramma  gregoryi 

X 

X 

X 

2 

Rypticus  spp. 

X 

X 

X 

X 

• 

* 

X 

X 

2,7,40,53,61-63,68 

R.  saponaceus 

X 

X 

X 

X 

X 

61-63,68 

Priacanthidae 

Phacanthus  spp. 
P.  arenatus 
P.  cruentatus 
Pristigenys  alta 

X 

X 

X 

X 

X 
X 
X 

X 
X 

X 
X 

X 
X 

X 
X 

X 

2,32,64 
64 
64 
2,32 

Apogonidae 

Apogon  sp. 

X 

41 

Epigonidae 

Epigonus  sp. 

X 

64 

Malacanthidae 

Caulolatilus  spp. 
C.  cyanops 

X 
X 

X 

X 

X 

X 

X 

X 

X 

X 
X 

X 

X 

X      2,61,63,64 
2 

Pomatomidae 

Pomatomus  saltatrix 

X 

X 

X 

X      40,59,61,63,64,67 

Rachycentridae 

Rachycentron  canadum 

X 

X 

X 

X 

X 

X 

2,37,62,63 

Carangidae 

Alectis  crinitus 

X 

X 

X 

X 

48,62 

Caranx  sp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X      2,8,61,63,68,69 

C.  crysos 

X 

X 

X 

* 

* 

• 

X 

X 

X 

2,8,24,41,50-52,61 

C.  hippos/latus 

X 

X 

X 

X 

X 

32,48,60,69 

Chloroscombrus  clirysurus 

X 

X 

* 

X 

1-3,8,40,41,46,47,50-53, 
56-59 

Decapterus  punctatus 

X 

* 

* 

* 

* 

* 

X 

X 

2,8,10,24,40,50-53,59, 
61-63,68 

Elagatis  bipinnulata 

X 

X 

X 

X 

X 

X 

2,56,59 

Hemicaranx  amblyrhynchus 

X 

X 

X 

X 

X 

X 

48,66 

Oligoplites  saurus 

X 

X 

* 

* 

X 

X 

X 

1-3,8,10,32,40,41,46,48, 
53,56,59-61,68,69 

Selar  crumenopthalmus 

X 

X 

X 

X 

X 

X 

X 

32,40,48,53,59,60 

Selene  spp. 

X 

X 

X 

X 

2,8,10,32,40,41,48,53, 
59-61,63,68 

Seriola  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X      2,8,32,40,48,56,59,60, 
63,68 

Trachinotus  spp. 

X 

X 

X 

X 

X 

X 

2,8,32,47,48,61,63 

T.  carolinus 

X 

X 

X 

X 

32,41,48,60,66 

T.  falcatus/goodei 

X 

X 

X 

48,60 

Trachurus  lathami 

* 

* 

X 

X 

X 

X 

X      2,8,23,40,41,50-52,59, 
61-63,68 

Coryphaenidae 

Coryphaena  spp. 

X 

X 

X 

X 

X 

X 

X 

2,41,61,64 

C.  equisetis 

X 

X 

X 

X 

X 

X 

X 

2,17,23,25,40 

C.  hippurus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,17,23,25 

Lutjanidae 

Etelis  oculatus 

X 

X 

X 

X 

X 

62,63 

Lutjanus  spp. 

X 

X 

* 

* 

* 

X 

X 

X 

2,40,53,59,61,63,64 

L.  campechanus 

X 

X 

X 

X 

X 

X 

X 

62,64,73 

Pristipomoides  aquilonahs 

X 

X 

X 

X 

X 

X 

X 

X 

2,64 

Rhomboplltes  aurorubens 

X 

X 

X 

X 

X 

X 

X 

X 

2,64 

Acropomatidae 

Symphysanodon  typus 

X 

X 

X 

2 

Gerreidae 

Eucinostomus  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

40,47,53,59,61-63,66 

Haemulidae 

Haemulon  spp. 

X 

X 

X 

X 

61,63 

Orthopristis  chrysoptera 

X 

X 

* 

X 

X 

2,40,46,47,59,66,69 

Sparidae 

Archosargus  probatocephalus 

X 

* 

* 

X 

1,2,40,47,48,53,59,60, 
69,70 

DIplodus  holbrookl 

X 

X 

X 

X 

X 

2,68 

Lagodon  rhomboides 

X 

X 

X 

X 

*       1-3,11,40,41,46-48,53, 
56,57,59,60,62,63,66,68, 
69 
2,68 

Pagrus  pagrus 

X 

X 

X 

Stenotomus  caprlnus 

X 

X      48,61 

Sciaenidae 

Bairdiella  ctirysoura 

X 

* 

* 

X 

X 

1-3,32,39-41,46,47,53, 
57-59,62,63,66,69,71 

Cynoscion  arenarius 

X 

* 

X 

X 

X 

X 

1-3,32,34,35,39,40,46, 
53,56-59,61,63,68,69,71 

C.  nebulosus 

X 

X 

* 

* 

* 

* 

X 

X 

1-3,32,35,39-41,46,47, 
53,56-59,68-72 

C.  nothius 

X 

X 

X 

X 

* 

X 

2,32,39-41,46,53,56,59, 
61-63,68 

Larimus  fasciatus 

X 

X 

X 

X 

X 

X 

X 

34,39-41,46,53,56,58,59, 
61-63,69 

Leiostomus  xanthurus 

X 

X 

X 

X 

X 

•       1-3,34,39-41,44,46,47, 
53,56-59,61-63,66, 
68-71,74 

814 


Table  1 . — Continued. 


Family 

Taxa 

J 

F 

M 

A 

M 

J 

J 

A 

s 

o 

N 

D 

Source 

Menticirrhus  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

1-3,32,34,39-41,46,47, 
53,56-59,61-63,66,68,69 

Mlcropogonias  undulatus 

* 

X 

X 

X 

X 

* 

* 

* 

1-3,34,39-41,44,46,47, 

53.56-59,61-63,66, 

68-71,74 

Pogonias  cromis 

X 

* 

X 

X 

1-3,34,39,40,46,47,56, 
58,59,61,63,66,68-70,72 

Sciaenops  ocellatus 

X 

* 

* 

X 

1,28,39,40,46,47,53,56, 
58,59,61,63,66,69,70,72 

Stellifer  lanceolatus 

X 

X 

X 

X 

X 

X 

X 

32,39-41,46,53,56-59, 
66,69 

Mullidae 

Mullus  auratus 

X 

2 

Kyphosidae 

Kyphosus  spp. 

X 

X 

X 

X 

X 

X 

X 

2,61,63 

Ephippidae 

Chaetodipterus  faber 

X 

X 

X 

40,41,46,47,53,56,57,59, 
61-64,66,68 

Pomacentridae 

Abudefduf  saxatills 

X 

63 

Mugilidae 

Mugil  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,61,63,68 

M.  cephalus 

X 

X 

X 

X 

40,41,44,47,53,57,59, 
61-64,69,71 

M.  curema 

X 

* 

* 

* 

X 

40.46,47,57,59,63,64,68 

Sphyraenidae 

Sphyraena  spp. 

X 

X 

* 

* 

• 

X 

X 

X 

40,46,53,57,59,61-64,66, 

68 

2,64 

S.  barracuda 

X 

X 

X 

X 

X 

S.  borealis 

X 

X 

X 

X 

2,61,68 

S.  guachancho 

X 

X 

X 

X 

X 

2,61,63 

Polynemidae 

Polydactylus  octonemus 

X 

64 

Opistognathidae 

Lonchopisthus  macrognathus 
Gnathagnus  egregius 

X 

X 

X 

68 
63 

Callionymidae 

Callionymus  spp. 

C.  bairdi 

C.  pauciradiatus 

X 

X 

X 

X 

X 

X 

61,68 

59 

40,59 

Microdesmidae 

Microdesmus  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,40,46,57,59,61-64,68 

Acanthuridae 

Acanthurus  spp. 

X 

X 

X 

X 

X 

X 

X 

2,64 

Gempylidae 

Gempylus  serpens 
Nealotus  tripes 
Nesiarchus  nasutus 

X 

X 

X 

X 

X 

X 

X 

2,61 
2,41 
2,59 

Diplospinous  multistriatus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,40,41,59,61,63 

Trichiuridae 

Lepidopus  sp. 

X 

61 

Trichiurus  lepturus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

40,41,56,59,61,63,68 

Scombridae 

Acanthocybium  solanderi 

X 

X 

X 

X 

X 

X 

2,25 

Auxis  spp. 

X 

X 

X 

X 

* 

* 

* 

* 

* 

X 

X 

2,21,23,25,32,40,59,61, 
63,64,68,79 

Euthynnus  alletteratus 

X 

* 

* 

* 

* 

* 

X 

X 

2,21,23,25,32,40,53,57, 
59,61-64,68,79 

E.  pelamis 

X 

X 

X 

X 

X 

X 

X 

2,21,23,25,32,40,61,63, 
64,79 

Sarda  sarda 

X 

53 

Scomber  japonicus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,32,40,61,63,68 

Scomberomorous  cavalla 

X 

X 

X 

* 

X 

X 

2,21,23,25,27,32,40, 
50-52,59,61-65,68 

S.  maculatus 

X 

X 

X 

X 

* 

* 

X 

2,23,25,27,32,40,50-53, 
56,57,59,61-63,65,66,68 

T.  albacares 

X 

* 

* 

* 

X 

X 

40,63 

T.  atlanticus 

X 

• 

• 

X 

X 

X 

X 

2,21,23,25,32,40,61,63, 
64,79 

T.  thynnus 

X 

X 

X 

2,21,23,25,32,40,61,64, 
68,76-78,80 

Xiphiidae 

Xiphias  gladlus 

X 

X 

X 

* 

* 

• 

X 

X 

X 

X 

X 

X 

19,23,25,64,79 

Istiophoridae 

Istiophorus  sp. 

X 

X 

X 

X 

X 

2,16,23,25,61-64 

Stromateidae 

Ariomma  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,40,41,57,59 

Cublceps  pauciradiatus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,40,41,59,61,63,64 

Hyperoglyphe  byttiites 

X 

X 

X 

X 

36 

Nomeus  gronovii 

X 

X 

40,41 

Peprilus  paru 

X 

X 

* 

* 

* 

X 

X 

X 

2,32,38,40,41,53,56,57, 
59,61-63,66 

P.  burti 

* 

* 

* 

X 

X 

X 

X 

X 

X 

X 

• 

• 

2,32,38,40,41,53,57,59, 
61-64,66,68 

Psenes  spp. 

X 

X 

X 

2 

P.  cyanoptirys 

X 

2 

815 


Table  ^  .—Continued. 


Family 

Taxa 

J 

F 

M 

A 

M 

J 

J 

A 

S 

O 

N 

D 

Source 

P.  pellucidus 

X 

X 

X 

X 

X 

2 

Tetragonurus  atlanticus 

X 

59 

Scorpaenidae 

Scorpaena  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,40,41,53,56,57,61-63, 
66,68 

Triglidae 

Peristedion  spp. 

X 

2 

Prionotus  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

1-3,40,41,46,53,56-59, 
61-64,66,68,69 

Dactylopteridae 

Dactylopterus  volitans 

X 

2,40 

Bothidae 

Bothus  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

32,40,41,45,59,61-64,68 

8.  ocellatus 

X 

X 

* 

* 

* 

X 

X 

X 

X 

X 

X 

X 

61-63,68 

B.  roblnsi 

X 

X 

X 

• 

* 

• 

* 

* 

* 

* 

2,9 

Citharichthys  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

32,40,46,56-59,63,66,68, 

69 

2,9,32,40 

C.  cornutus 

X 

X 

X 

• 

* 

• 

• 

X 

X 

X 

C.  gymnorhinus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,9,32,40,59 

C.  macrops 

X 

X 

X 

X 

* 

X 

X 

X 

X 

X 

X 

2,9,26 

C.  spilopterus 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,26,40,41,45,53,59 

Cyclopsetta  spp. 

X 

X 

X 

X 

X 

* 

* 

* 

X 

X 

32,40,41,45,61-63,68 

C.  fimbriata 

X 

X 

X 

* 

X 

X 

* 

X 

X 

2,9,62,63 

Engyophrys  senta 

X 

X 

X 

X 

X 

X 

2,20,32,40,41,45,53,59 

Etropus  crossotus 

X 

X 

X 

X 

X 

X 

X 

X 

26,32,40,41,45,46,56,57, 

59 

2,9,26 

E.  rimosus 

* 

* 

* 

* 

X 

X 

X 

X 

X 

X 

• 

• 

Monolene  sessilicauda 

X 

X 

X 

X 

X 

X 

X 

X 

2,9,13,32,40,61,62,68 

Paralichthys  spp. 

* 

X 

X 

X 

X 

X 

1,2,40,41,45-47,  53,57, 
59,61-63,66,68-70 

Syacium  spp. 

X 

X 

* 

* 

* 

X 

X 

X 

X 

32,40,41,45,53,59,61-64, 

68 

32,40,57,61-63,66 

S.  gunteri 

X 

* 

* 

X 

X 

X 

X 

S.  papillosum 

X 

* 

* 

* 

* 

X 

X 

2,9,14,32,40 

Trichopsetta  ventralis 

X 

X 

X 

X 

X 

X 

2,9,15,32,40,45 

Soleidae 

Achirus  lineatus 

Gymnachirus  sp. 
G.  melas 

X 
X 

X 

X 
X 

X 

* 

X 

* 
* 

X 

X 

* 

X 

X 

X 

X 

2,3,40,41,45-47,53,56, 

57,59,75 

61,63 

2 

Trinectes  maculatus 

X 

X 

* 

X 

X 

X 

1,40,46,53,58,66 

Cynoglossidae 

Symphurus  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

2,3,40,45-47,53,56-59, 
61-64,66,68,69 

Balistidae 

Balistes  sp. 
Monacanthus  sp. 
M.  hispidus 
M.  setifer 

X 
X 

X 

X 
X 

X 

X 
X 

X 

X 
X 

61 

61,62,68 
46,53,69 
40 

Ostraciidae 

Lactophrys  sp. 

X 

X 

X 

66,68 

Tetraodontidae 

Lagocephalus  laevigatus 

X 

X 

68 

Sphoeroides  spp. 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

X 

1,2,40,41,46,53,56,57, 
59,61-64,66,68,69 

Molidae 

Ranzania  laevis 

X 

64 

'Blanchet  1979. 

2' Juarez  1976. 

"'Ditty  and  Truesdale 

1984. 

siRinucane  et  al.  1977. 

2Houde  et  al.  1979. 

22Houde  1976. 

^Fore  1970. 

"Finucane  et  al.  1979a. 

^Phillips  et  al.  1977. 

23Kelley  et  al.  1986. 

"Fore  1971. 

"Finucane  et  al.  1979b. 

"Houde  1981. 

s-iMontolio  1976. 

"Fruge  1977. 

e^McGowan  1985. 

sHoude  and  Fore  1973.                        ^sRjchards  et  al.  1984. 

«Kuhr 

1  1979 

1. 

"McEachran  et  al.  1980. 

«Smith  1980. 

2«Tucker  1978. 

«Rupli 

e  1984. 

««Hoese  1965. 

'Houde  1982. 

2'Dwinell  and  Futch 

1973, 

"'Sabins  1973. 

«'Barger  et  al.  1980. 

sLeak  1981. 

28peters  and  McMlchael  1987. 

"OSEAMAP  1985. 

68Finucane  1976. 

9Dowd  1978. 

23Houde  1977a. 

i^Shaw  et  al 

.  1985. 

e^Allshouse  1983. 

'"Aprieto  1974. 

30Houde  1977b. 

50Shaw  and  Drull 

inger 

1985 

'"King  1971. 

"Caldwell  1957. 

3'Houde  1977c. 

s'Shaw  and  Drull 

inger 

1986 

"Guillen  and  Landry  1981. 

'2Houde  1973. 

32SEAMAP  1983. 

"Shaw  et  al 

.  1987. 

"Pearson  1929. 

'3Futch  1971. 

33Christmas  and  Waller  1975. 

53Stuck  and 

Perry  1982. 

"Collins  et  al    1980 

'"Futch  and  Hoff  1971.                            34Cowan  1985. 

"Thompson 

and 

Deegan  1982. 

"Sogard  et  al.  1987. 

'SFutch  1977. 

35Daniels  1977. 

ssTurner  1969. 

"Houde  et  al  (1970,  cited  in 

'«Gehringer  1957. 

36Dawson  1971a. 

"Vecchione 

et  al 

.  1982. 

Phillips  et  al.  1977). 

''Gibbs  and  Collette  1959.                    ^'Dawson  1971b. 

s'Walker  1978 

'^Richards  1976. 

isGordon  1982. 

38Ditty  1981. 

sswilliams  1983. 

"Richards  1977. 

'^Grall  et  al.  1983. 

39Ditty  1984. 

59LDWF  1983  uni 

3Ubl. 

data. 

'SRichards  and  Potthoff  1980a. 

20Hensley  1977. 

""Ditty  1986. 

60SEAMAP  1984. 

"Richards  and  Potthotf  1980b. 

soMcGowan  and  Richards  1986. 


816 


Table  2.— Primary  depth  distribution  of  larvae  (<10  mm  SL)  of  some  abundant  taxa  of  fishes  from  the 
northern  Gulf  of  Mexico  above  lat.  26°00'N.  Depths  are  those  reported  In  the  literature  at  which  >75% 
of  larvae  were  collected.  Asterisk  (')  indicates  larvae  are  estuarine-dependent. 


Depth  (m) 

Taxa 

<25 

<50 

<100       50-200 

>150                   Source 

Chloroscombrus  chrysurus 

X 

1,2,3,4,5,6,8,10 

Orthopristis  chrysoptera 

X 

1 

Cynoscion  nebulosus ' 

X 

1,9,10 

C.  arenarius 

X 

1,2,9,10,11 

Pogonias  cromis ' 

X 

11 

Archosargus  probatocephalus ' 

X 

1 

Chaetodipterus  faber 

X 

2 

Peprilus  paru 

X 

1,25,26 

Anchoa  spp. 

X 

1 

Harengula  jaguana 

X 

1,4,5,6,13 

Opisthonema  oglinum 

X 

1,4,5,6,10,29 

Brevoortia  patronus ' 

X 

14,15,16,17,32 

Sardinella  aurita 

X 

1,4,6,18 

Diplectrum  formosum 

X 

1 

Serranlculus  pumilio 

X 

1 

Centropristis  striata 

X 

1 

Lagodon  rhomboides ' 

X 

1 

Leiostomus  xanthurus ' 

X 

1,11,19,32 

Micropogonias  undulatus  * 

X 

1,11,19,20,32 

Scomberomorus  maculatus 

X 

1,4,21,22,23,24 

Decapterus  punctatus 

X 

1,3,4,6 

Peprilus  burti 

X 

25,26 

Etrumeus  teres 

X 

1,5,6,11,12,27,28,30 

Caranx  crysos 

X 

1,3,4,6 

Trachurus  lathami 

X 

1,2,3,5,30 

Hemanthias  vivanus 

X 

1 

Auxis  sp. 

X 

1,21,22,23 

Euthynnus  alletteratus 

X 

1,21,22,30 

Scomberomorus  cavalla 

X 

20,23,24 

Lutjanus  campechanus 

X 

31 

Xiphias  gladius 

X           7,21,?? 

Istiophorus  spp. 

X           21,22 

Euthynnus  pelamis 

X           1,21,22,23 

'Houde  et  al.  1979. 

'2Houde  1977b. 

23Dwinell  and  Futch  1973. 

2Ditty  and  Truesdale  1984. 

'3Houde  1977c. 

2"McEachran  et  al.  1980 

3Leak  1981. 

'"Shaw  et  al.  1985. 

25Ditty  1981. 

"Shaw  et  al    1987. 

'spore  1970. 

26SEAMAP  1983. 

5Shaw  and  Drulllnger  1986. 

'«Turner  1969. 

"Fore  1971. 

^Shaw  and  Drulllnger  1985. 

"Chnstmas  and  Waller  1975. 

28Houde  1973. 

'Grail  et  al   1983. 

'SHoude  1976. 

29Houde  1977a 

sMontollo  1976. 

'^Fruge 

1977. 

^epinucane  et  al   1979b, 

'Daniels  1978. 

^oplnucane  et  al 

.  1977. 

3'Collins  et  al.  1980. 

'"Walker  1978 

2'Richards  et  al. 

1984. 

32Sogard  et  al   1987. 

"Cowan  1985. 

22Kelley 

et  al.  1986. 

33Richards  and  Potthoff  1980b. 

crepancy  in  Spanish  sardine  seasonal  occurrence 
reported  by  Houde  and  Fore  (1973)  (September- 
February)  and  that  found  by  Shaw  and  DrulHnger 
(1985,  1986),  Shaw  et  al.  (1987),  and  this  review 
(March-November).  Finally,  seasonality  data  re- 
ported in  Ditty  (1986)  for  larvae  of  finescale  men- 
haden, Brevoortia  gunteri,  was  based  on  specimens 
subsequently  believed  to  be  a  morph  of  gulf  menha- 
den {B.  patronus). 

In  general,  the  seasonal  occurrence  of  many  taxa 
of  larval  fishes  (i.e.,  scaled  sardine,  Harengula 
jaguana,  and  Atlantic  thread  herring,  Opisthonema 
oglinum)  began  both  earlier  and  extended  later  in 


studies  conducted  on  the  Florida  continental  shelf 
and  southern  parts  of  the  study  area  than  those  in 
the  northern-most  GOMEX.  Likewise,  in  studies  in- 
volving bays  (e.g.,  Phillips  et  al.  1977;  Blanchet 
1979;  Williams  1983),  tidal  passes  (e.g..  King  1971; 
Sabins  1973;  Allshouse  1983),  and  barrier  islands 
(e.g.,  Guillen  and  Landry  1981;  Ruple  1984),  peak 
seasonal  occurrence  of  larvae  of  some  fishes  was 
usually  later  than  in  studies  conducted  offshore, 
primarily  because  of  the  time  delay  necessary  for 
shoreward  migration  of  estuarine-dependent  larvae 
such  as  Atlantic  croaker  (Micropogonias  undulatus), 
striped  mullet  {Mugil  cephalus),  pinfish  {Lagodon 


817 


Table  3.— Location  and  sampling  characteristics  for  northern  Gulf  of  Mexico  (GOMEX)  ichthyoplankton  studies.  For  months  sampled: 
Q  =  quarterly,  M  =  monthly,  S  =  synoptic,  B  =  biweekly.  Numbers  in  columns  with  asterisk  (*)  refer  to  footnotes.  Numbers  separated 
by  semicolons  refer  to  specific  gear  types. 


Gear 

Mesh 

Station 

Months/freq. 

Study  type/ 

Study 

type* 

size  1 

(mm) 

depths  (m) 

sampled* 

taxa  studied 

Tow  type* 

Study  location 

Phillips  et  al.  1977 

2 

0.363 

<10 

10,  B 

Survey 

13 

Tampa/Hillsborough  Bay,  FL 

Blanchet  1979 

2 

0.505 

2-6 

11,  M 

Survey 

14 

Lower  Apalachicola  Bay,  FL 

Houde  et  al.  1979 

1, 

2 

0.505 

10-200 

9,  Q 

Survey 

13 

Florida  continental  shelf 

Turner  1969 

4 

0.571 

<58 

9,  Oct. -Apr. 

Brevoortia 

15, 

19 

Eastern  and  central  GOMEX 

Williams  1983 

5 

0.505 

<10 

11,  M 

Survey 

14, 

17 

Lower  Mobile  Bay,  AL 

Struck  and  Perry  1982 

2 

1.050 

10 

9,  M 

Survey 

14, 

17 

Off  Mississippi  Sound 

Ruple  1984 

4; 

6 

0.505, 

0.571 

4-7;  0.5 

12,  M 

Survey 

14, 

19;  21 

Horn  Island,  MS 

Juarez  1976 

2 

0.505 

>183 

Q,  Apr.-Nov. 

Scombrids 

13 

Central  GOMEX 

Montolio  1976 

2 

0.505 

>183 

Q,  Apr.-Nov. 

Carangids 

13 

Central  and  western  GOMEX 

Fore  1971 

— 

— 

27-108 

M,  Dec. -Apr. 

Etrumeus 

— 

Central  GOMEX 

Sabins  1973 

8 

0.480 

<1.5 

11,  M 

Survey 

19, 

21 

Caminada  Pass,  LA 

Fruge  1977 

1, 

2 

0.505 

<91 

Nov. 

Micropogonias 

13 

Mississippi  River  Delta  to 
Atchafalaya  Bay,  LA 

Kuhn  1979 

1 

0.505 

10-91 

Nov.,  Jan.,  July 

Bothids 

13 

Mississippi  River  Delta  to 
Atchafalaya  Bay,  LA 

Ditty  and 

1 

0.505 

10-91 

Jan.,  July 

Survey 

13 

Mississippi  River  Delta  to 

Truesdale  1984 

Atchafalaya  Bay,  LA 

Walker  1978 

2 

0.505 

10-45 

July,  Aug.,  Dec. 

Survey 

15, 

19 

Mississippi  River  Delta  to 
Timbalier  Bay,  LA 

Ditty  1986 

1; 

2 

0.363 

10;  30 

11,  M;  9,  0 

Survey 

14, 
14 
14, 

16,  17; 

Off  Caminada  Pass,  LA 

Vecchione  et  al.  1982 

1 

0.333, 

0.505 

10 

11,  M 

Survey 

16,  17 

Southwest  Louisiana  off 

Calcasieu  Lake 

Cowan  1985 

1 

0.335 

6-130 

M,  Dec. -Apr. 

Sciaenids 

18 

Southwest  Louisiana 

Shaw  et  al.  1985 

1 

0.335 

6-130 

M,  Dec. -Apr. 

Brevoortia 

18 

Southwest  Louisiana 

Guillen  and 

8 

1.000 

<1.5 

M,  Jan. -Aug. 

Survey 

19, 

21 

Galveston  Island,  TX 

Landry  1981 

McGowan  1985 

1 

0.333 

Over  reef 

9,  Q 

Survey 

13, 

20 

Flower  Gardens  Reef,  TX 

King  1971 

4 

1.000 

<5 

9,  M 

Survey 

14, 

16,  17 

Cedar  Bayou  Pass,  TX 

Hoese  1965 

2 

0.086 

6-50 

9,  M 

Survey 

14 

Off  Port  Aransas,  TX 

Allshouse  1983 

4 

0.505 

3-12 

11,  M 

Survey 

13 

Aransas  Pass,  TX 

Finucane  1976 

2 

0.250 

18-135 

Dec,  Apr.,  Aug. 

Survey 

13 

South  Texas  continental 
shelf 

Finucane  et  al.  1977, 

1 

0.333, 

0.505 

18-182 

9,  M 

Survey 

13 

South  Texas  continental 

1979b 

shelf 

Finucane  et  al.  1979a 

1 

0.333, 

0.505 

17 

July,  Oct.,  Feb. 

Survey 

13 

Off  Galveston,  TX 

Fore  1970 

7 

— 

7-75 

M,  Sept.-Apr. 

Brevoortia 

18 

Central  and  western  GOMEX 

Christmas  and 

2; 

4 

0.505; 

1.000 

2-110 

9,  Oct. -Apr. 

Brevoortia 

13; 

14 

Gulf-wide 

Waller  1975 

Richards  and 

1; 

3 

0.505; 

0.946 

>183 

9,  Apr.-May 

Scombrids 

13; 

14 

Gulf-wide 

Potthoff  1980a,  b 

SEAMAP  1983-1985 

1; 

3 

0.333; 

0.946 

>10 

9,  S 

Survey 

13; 

14 

Gulf-wide 

'60  cm  bongo. 

21  m  met. 

^1  X  2  m  neuston. 

■»0.5  m  net. 

=1   X  0.5  net. 

«2  X  0.5  m. 


'Gulf-V  sampler 
BRenfro  beam  trawl. 
sMultiyear. 

'015  months. 

"12  months. 


'214  months. 

'^Oblique. 

'••Surface. 

'^Subsurface. 

'^Middepth. 


"Bottom, 

'^Stepwise  oblique 

"Horizontal 

2ooblique  at  select  depth  intervals. 

2'Surf  zone. 


rhomboides),  black  drum,  red  drum,  and  gulf  men- 
haden. 

The  seasonal  occurrence  of  several  taxa  are  known 
only  from  a  few  scattered  specimens  (e.g.,  cornet- 
fish,  Fistularia  sp.;  ribbonfish,  Trachipterus  sp.; 
cowfish,  Lactophrys  sp.;  slender  mola,  Ranzania 
laevis;  threadfish,  Polydactylus  sp.;  and  cobia, 
Rachycentron  canadum)  or  a  single  monthly  record 
(Table  1).  Larvae  of  other  taxa  (e.g.,  searobins,  Pri- 
onotus  spp.;  anchovies,  Anchoa  spp.;  tonguefishes, 
Symphums  spp.;  and  puff  erf ishes,  Sphoeroides  spp.) 


were  collected  during  all  months  (Table  1),  reflect- 
ing the  many  species  that  comprise  each  genus.  In 
general,  larvae  of  most  scombrids  were  collected 
beyond  the  50  m  depth  contour,  except  Spanish 
mackerel,  Seomberomorus  maculatus,  which  oc- 
curred primarily  within  50  m.  Finucane  et  al.  (1979b) 
collected  50%  of  their  king  mackerel,  5.  cavalla,  lar- 
vae off  Texas  during  September  and  found  this 
species  relatively  more  abundant  and  over  greater 
water  depths  (35-183  m)  than  Spanish  mackerel 
(<35  m).  In  the  north-central  GOMEX,  larvae  of 


818 


Spanish  mackerel  were  more  abundant  than  those 
of  king  mackerel,  and  spawning  of  this  latter  species 
probably  occurs  over  shallower  depths  than  in  the 
northwestern  GOMEX  (Shaw  et  al.  1987).  Only  six 
larvae  of  king  mackerel  were  collected  by  Houde  et 
al.  (1979),  suggesting  that  this  species  does  not  use 
the  northeastern  GOMEX  as  a  major  spawning  area. 
Larvae  of  cero,  5.  regalis,  have  not  been  reported 
from  the  study  area.  Larvae  of  sciaenids  and  en- 
graulids  occurred  primarily  within  the  50  m  depth 
contour,  with  several  species  of  sciaenids  primarily 
collected  inside  the  25  m  contour  (Table  2).  Both 
sciaenids  and  engraulids  are  relatively  more  abun- 
dant in  the  north-central  and  northwestern  than  in 
the  northeastern  GOMEX  (Finucane  et  al.  1977, 
1979b;  Houde  et  al.  1979;  Richards  et  al.  1984; 
Kelley  et  al.  1986)  (Table  4).  Most  larvae  of  clupeids 
occur  in  shelf  waters  of  <50  m  depth,  except  those 
of  round  herring,  Etrumeus  teres,  which  primarily 
occur  beyond  the  50  m  contour  (Table  2).  Larvae  of 
gulf  menhaden  are  more  abundant  in  the  north- 
central  than  either  the  northeastern  or  northwest- 
ern GOMEX  and  occur  primarily  around  the 
Mississippi  River  Delta  (Fore  1970;  Christmas  and 
Waller  1975;  Sogard  et  al.  1987;  and  others).  Scaled 
sardine  and  Atlantic  thread  herring  larvae  are 
abundant  in  all  three  subregions  of  the  northern 
GOMEX;  Spanish  sardine  are  rare  in  the  north- 
central  but  relatively  abundant  in  the  northeastern 
and  northwestern  GOMEX  (Shaw  and  Drullinger 
1985, 1986;  Shaw  et  al.  1987).  Larvae  of  gulf  butter- 


Table  4— Comparison  of  10  most  abundant  families  of  larval  fishes 
collected  during  major  ichthyoplankton  surveys  of  thie  Gulf  of  Mex- 
ico. Rank  is  based  on  number  of  individuals  collected.  Numbers 
are  %  of  total  collection. 


Finucane 

Finucane 

Houde 

Kelley 

Finucane 

et  al. 

et  al. 

et  al. 

et  al. 

Taxa 

1976 

1977 

1979b 

1979 

1986 

Engraulidae 

17.4 

13.5 

6.2 

14.6 

Gobiidae 

16.6 

20.6 

15.8 

15.1 

6.2 

Bregmacerotidae 

14.5 

12.5 

7.3 

2.7 

5.4 

Clupeidae 

8.5 

5.0 

8.1 

20.5 

9.6 

Sciaenidae 

5.3 

2.1 

3.1 

Carangidae 

4.8 

3.1 

3.7 

3.9 

4.1 

Bothidae 

4.6 

8.4 

6.1 

6.4 

4.4 

Synodontidae 

4.5 

3.6 

10.9 

3.0 

Myctopfiidae 

3.0 

5.0 

4.9 

5.1 

11.2 

Serranidae 

2.0 

2.2 

4.9 

Cynoglossidae 

3.4 

Scombridae 

1.9 

Ophidiidae 

2.9 

Labridae 

2.3 

Gonostomatidae 

3.3 

Mugilidae 

2.5 

Totals 

81.2 

75.7 

68.6 

66.8 

64.4 

fish,  Peprilus  burti,  and  harvestfish,  P.  paru, 
are  most  common  in  the  north-central  GOMEX 
(SE  AMAP  1983),  with  only  a  few  of  their  larvae  (8 
and  25,  respectively)  having  been  collected  by  Houde 
et  al.  (1979)  in  the  northeastern  GOMEX.  Although 
gulf  butterfish  larvae  have  been  collected  during 
every  month  (Table  1),  larvae  are  most  common 
from  November  to  March  with  very  limited  spawn- 
ing during  the  summer  (Ditty  1981;  SE  AMAP  1983). 
Houde  et  al.  (1979)  also  collected  >90%  of  both 
sparid  and  haemulid  larvae  inside  the  50  m  contour 
during  their  Florida  continental  shelf  survey  and 
found  that  although  lutjanids  occurred  at  all  depths, 
they  were  most  abundant  from  30  to  100  m.  Unlike 
larvae  of  other  speciose  families  which  primarily  oc- 
curred either  within  (e.g.,  clupeids,  engraulids,  and 
sciaenids)  or  beyond  (e.g.,  scombrids)  the  50  m  depth 
contour,  those  of  bothids,  carangids,  and  serranids 
were  widely  distributed  and  occurred  at  all  depths. 
Larvae  of  swordfish,  Xiphias  gladius,  and  sailfish, 
Istiophorus  sp.,  are  oceanic  and  occurred  primarily 
outside  the  200  m  depth  contour;  leptocephali  of 
tarpon,  Megalops  atlanticus,  and  bonefish,  Albula 
vulpes,  were  seldom  collected  in  the  study  area.  Of 
those  taxa  whose  larvae  were  most  abundant  within 
the  25  m  contour  (Table  2),  several  were  most  com- 
monly collected  at  considerably  shallower  depths 
(e.g.,  pigfish,  Orthopristis  chrysoptera  <20  m;  black 
drum  <18  m;  and  spotted  seatrout,  Cynoscion  nebu- 
losus  <15  m).  Larvae  of  other  taxa  which  occurred 
primarily  within  the  25  m  contour  includes  leather- 
jacket,  Oligoplites  saurus  (<20  m;  Houde  et  al. 
1979);  kingfish,  Menticirrhus  spp.  (<20  m;  Walker 
1978;  Houde  et  al.  1979;  Cowan  1985);  and  spottail 
pinfish,  Diplodus  holbrooki  (<15  m;  Houde  et  al. 
1979).  Larvae  of  hogchoker,  Trinectes  maculatus, 
and  silver  perch,  Bairdiella  chrysoura,  were  occa- 
sionally collected  in  neritic  offshore  studies,  but 
were  most  abundant  in  pass/estuarine  studies  (e.g., 
Sabins  1973;  Allshouse  1983). 

In  conclusion,  these  data  represent  the  current 
knowledge  of  the  seasonality,  peak  occurrence,  and 
primary  depth  distribution  of  larval  fishes  in  the 
northern  (rOMEX.  This  information  provides  a  foun- 
dation upon  which  sound  management  decisions  con- 
cerning both  the  commercial  and  recreational  ex- 
ploitation of  spawning  aggregations  of  fishes  and 
the  potentially  adverse  impact  on  these  fisheries 
resulting  from  such  exploitation  can  be  based. 

Acknowledgments 

We  would  like  to  thank  the  Louisiana  Department 

819 


of  Wildlife  and  Fisheries  and  the  Louisiana  Offshore 
Oil  Port  (LOOP,  Inc.)  for  providing  unpublished 
seasonality  data  from  1983  plankton  surveys;  the 
Southeast  Area  Monitoring  and  Assessment  Pro- 
gram (SEAMAP)  for  providing  data  on  selected 
species  of  clupeids,  priacanthids,  carangids,  scom- 
brids,  and  bothids  collected  during  1982  surveys  of 
northern  GOMEX  waters;  and  to  William  J.  Rich- 
ards for  sharing  information  on  Peprilus  burti  and 
P.  paru  collected  during  1982  SEAMAP  cruises. 
This  paper  is  dedicated  to  Robert  and  Katherine 
Ditty  whose  love  and  support  through  the  years  are 
an  inspiration.  Louisiana  State  University  Coastal 
Fisheries  Institute  Contribution  No.  LSU-CFI-87- 
25. 


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tuna)  and  swordfish  in  the  Gulf  of  Mexico  in  the  spring  of 
1977  and  1978.    Coll.  Vol.  Sci.  Pap.,  Int.  Comm.  Conserv. 
Atl.  Tunas.  9:680-694. 
Richards,  W.  J.,  T.  Potthoff,  S.  Kelley,  M.  F.  McGowan, 
L.  Ejsymont,  J.  H.  Power,  and  R.  M.  Olvera  L. 
1984.    SEAMAP  1982-  Ichthyoplankton  larval  distribution 
and  abundance  of  Engraulidae,  Carangidae,  Clupeidae,  Lut- 
janidae,  Serranidae,  Coryphaenidae,  Istiophoridae,  Xiphii- 
dae,  and  Scombridae  in  the  Gulf  of  Mexico.    U.S.  Dep. 
Commer.,  NOAA  Tech.  Memo.,  NMFS-SEFC-144,  4  p. 
Robins,  C.  R.,  R.  E.  Bailey,  C.  E.  Bond,  J.  E.  Brooker,  E.  A. 
Lachner,  R.  N.  Lea,  and  W.  B.  Scott. 
1980.    A  list  of  common  and  scientific  names  of  fishes  from 
the  United  States  and  Canada.    Am.  Fish.  Soc.  Spec.  Publ. 
No.  12  (4th  ed.),  174  p. 
Ruple,  D.  L. 

1984.    Occurrence  of  larval  fishes  in  the  surf  zone  of  a  north- 
ern Gulf  of  Mexico  barrier  island.    Estuarine  Coastal  Shelf 
Sci.  18:191-208. 
Sabins,  D.  S. 

1973.    Diel  studies  of  larval  and  juvenile  fishes  of  the  Cami- 
nada  Pass  area,  Louisiana.    M.S.  Thesis,  Louisiana  State 
Univ.,  Baton  Rouge,  163  p. 
Saville,  a. 

1964.    Estimation  of  the  abundance  of  fish  stocks  from  egg 
and  larval  surveys.    Rapp.  P.-v.  Reun.  Cons.  int.  Explor. 
Mer   153:164-170. 
SEAMAP. 

1983.  (plankton).  ASCII  characters.  Data  for  1982.  Fish- 
eries-independent survey  datae/National  Marine  Fisheries 
Service,  Southeast  Fisheries  Center:  Gulf  States  Marine 


Fisheries  Commission  (producer). 

1984.  (plankton).  ASCII  characters.  Data  for  1983.  Fish- 
eries-independent survey  datae/National  Marine  Fisheries 
Service;  Southeast  Fisheries  Center:  Gulf  States  Marine 
Fisheries  Commission  (producer). 

1985.  (plankton).  ASCII  characters.  Data  for  1984.  Fish- 
eries-independent survey  datae/National  Marine  Fisheries 
Service;  Southeast  Fisheries  Center:  Gulf  States  Marine 
Fisheries  Commission  (producer). 

Shaw,  R.  F.,  J.  H.  Cowan,  Jr.,  and  T.  L.  Tillman. 

1985.  Distribution  and  density  oi  Brevoortia  patronus  (gulf 
menhaden)  eggs  and  larvae  in  the  continental  shelf  waters 
of  western  Louisiana.    Bull.  Mar.  Sci.  36:96-103. 

Shaw,  R.  F.,  J.  G.  Ditty,  and  J.  Lyszkowski-Shultz. 

1987.  Fisheries-independent  data  on  coastal  herrings  and 
associated  species  (including  mackerels)  from  the  northern 
Gulf  of  Mexico.  Final  Report  to  the  MARFIN  Program 
(NOAA  Contract  No.  NA  86-WC-H-06117)  for  FY  1986-87, 
104  p.  NMFS  Southeast  Regional  Office,  9750  Roger  Blvd., 
St.  Petersberg,  FL,  33702. 

Shaw,  R.  F.,  and  D.  L.  Drullinger. 

1985.  The  early  life  history  of  coastal  pelagic  finfish  in  Loui- 
siana. La.  Board  Regents  Res.  Dev.  Prog.,  Baton  Rouge, 
115  p. 

1986.  Early  life  history  of  coastal  pelagic  finfish  in  Louisiana. 
La.  Board  Regents  Res.  Dev.  Prog.  Final  Rep.,  Baton  Rouge, 
272  p. 

Smith,  D.  G. 

1980.  Early  larvae  of  the  tarpon,  Megalopa  atlantim  Valen- 
ciennes (Pisces:  Elopidae),  with  notes  on  spawning  in  the 
Gulf  of  Mexico  and  the  Yucatan  Channel.  Bull.  Mar.  Sci. 
30:136-141. 

Sogard,  S.  M.,  D.  E.  Hoss,  and  J.  J.  Govoni. 

1987.  Density  and  depth  distribution  of  larval  gulf  menhaden, 
Brevoortia  patronus,  Atlantic  croaker,  Micropogonias  un- 
dulatus,  and  spot,  Leiostomiis  xanthurus,  in  the  northern 
Gulf  of  Mexico.    Fish.  Bull.,  U.S.  85:601-609. 

Stuck,  K.  C,  and  H.  M.  Perry. 

1982.  Ichthyoplankton  community  structure  in  Mississippi 
coastal  waters.  In  Fishery  monitoring  and  assessment  com- 
pletion report,  1  January  1977  to  31  December  1981,  p.  VI- 
I-l  thru  VI— 1-53.  Gulf  Coast  Res.  Lab.  (Ocean  Springs, 
MS),  Proj.  No.  2-296-R. 
Thompson,  B.  A.,  and  L.  A.  Deegan. 

1982.    Distribution  of  ladyfish  (Elops  saurus)  and  bonefish 
(Albula  vulpes)  leptocephali  in  Louisiana.    Bull.  Mar.  Sci. 
32:936-939. 
Tucker,  J.  W.,  Jr. 

1978.    Larval  development  of  four  species  of  bothid  flatfish 
in  the  Citharichthys-Etropus  complex:  C.  cornutus,  C.  gym- 
norhinus,  C.  spilopterus,  and  Etropus  crossotvs.    Ph.D. 
Thesis,  North  Carolina  State  Univ.,  Raleigh,  213  p. 
Turner,  W.  R. 

1969.    Life  history  of  menhadens  in  the  eastern  Gulf  of  Mex- 
ico.   Trans.  Am.  Fish.  Soc.  98:216-224. 
Vecchione,  M.,  C.  E.  Meyer,  and  C.  L.  Stubblefield. 

1982.    Zooplankton.    In    West    Hackberry    brine    disposal 
project  pre-discharge  characterization,  Ch.  8,  p.  8-1  thru 
8-69.    Dep.  Energy  Strategic  Pet.  Reserve  Proj.,  D.O.E. 
Contract  No.  DE-AC96-80P010228,  729  p. 
Walker,  H.  J.,  Jr. 

1978.  Ichthyoplankton  survey  of  nearshore  Gulf  waters 
between  Barataria  Bay  and  Timbalier  Bay,  Louisiana,  dur- 
ing July,  August,  and  December,  1973.  M.S.  Thesis,  Loui- 
siana State  Univ.,  Baton  Rouge,  59  p. 


822 


Williams,  L.  W. 

1983.    Larval  fish  assemblages  of  lower  Mobile  Bay.    M.S. 
Thesis,  Univ.  South  Alabama,  Mobile,  55  p. 

James  G.  Ditty 

Louisiana  Department  of  Wildlife  and  Fisheries 

Seafood  Division 

P.O.  Box  98000.  Baton  Rouge,  LA  70898-9000 

Present  address: 

Coastal  Fisheries  Institute 

Center  for  Wetland  Resources 

Louisiana  State  University 

Baton  Rouge.  LA  70803-7507 

Glen  G.  Zieske 

Louisiana  Department  of  Wildlife  and  Fisheries 

Seafood  Division 

P.O.  Box  98000,  Baton  Rouge.  LA  70898-9000 

Richard  F.  Shaw 

Coastal  Fisheries  Institute 
Center  for  Wetland  Resources 
Louisiana  State  University 
Baton  Rouge.  LA  70803-7507 


UTILIZATION  OF  A  WASHINGTON 

ESTUARY  BY  JUVENILE 

ENGLISH  SOLE,  PAROPHRYS  VETULUS 

The  use  of  west  coast  estuaries  and  protected  bays 
as  nursery  grounds  by  English  sole,  Parophrys 
vetulus  Girard,  a  significant  component  of  Pacific 
coast  groundfish  landings,  has  been  well  docu- 
mented (Westerheim  1955;  Kendall  1966;  Smith  and 
Nitsos  1969;  Misitano  1970).  From  data  collected  off 
Oregon,  Laroche  and  Holton  (1979)  showed  that 
English  sole  also  utilize  nearshore  areas  along  the 
open  coast  as  nursery  grounds.  Krygier  and  Pearcy 
(1986)  determined  that  estuarine  dependence  for 
juvenile  English  sole  was  indeed  significant  relative 
to  the  open  coastal  area  off  Oregon,  although  their 
survey  design  made  it  difficult  to  compare  absolute 
abundance  in  these  areas.  In  addition,  the  estuaries 
studied  by  Krygier  and  Pearcy  were  much  smaller 
than  the  Washington  estuaries  of  Grays  Harbor  and 
Willapa  Bay,  making  it  difficult  to  extrapolate  their 
results. 

In  the  present  study  our  objectives  were  to  1) 
compare  relative  density  and  estimates  of  abun- 
dance of  0-age  English  sole  between  a  Washington 
estuary.  Grays  Harbor,  and  the  adjacent  area  along 
the  open  coast;  2)  compare  fish  density  between 
several  subareas  (strata)  of  each  system;  and  3)  note 


timing  of  immigration  to  and  emigration  from  the 
estuary.  Specific  gear  was  developed  to  efficiently 
sample  small  benthic  organisms  and  was  used  in 
both  the  estuary  and  open  coast  survey  areas,  elim- 
inating the  need  for  gear  selectivity  intercalibration. 
In  addition,  the  statistical  design  of  the  survey  en- 
abled population  estimates  with  confidence  intervals 
to  be  made  for  each  area. 

Methods  and  Materials 

Survey  Design 

For  this  study,  we  specifically  developed  a  plumb 
staff  beam  trawl  with  an  effective  width  of  2.3  m. 
We  designed  it  for  a  quantitative  assessment  of 
juvenile  fishes  and  crustaceans  closely  associated 
with  the  bottom.  Its  fine  mesh  (4  mm)  cod  end  liner 
retained  newly  settled  flatfish  (15-25  mm  total 
length).  A  complete  account  of  its  construction, 
method  of  deployment,  and  field  testing  was  given 
by  Gunderson  and  Elhs  (1986). 

We  selected  two  separate  survey  areas  for  the 
study,  the  Grays  Harbor  estuary  and  the  adjacent 
nearshore  area  along  the  open  coast.  The  estuarine 
survey  was  based  on  a  stratified  random  statistical 
design  and  the  open  coast  survey  on  a  systematic 
trackline.  Both  areas  were  surveyed  in  1983  and 
1984. 

The  estuary  was  stratified  into  four  geographic 
areas  (Fig.  1).  Each  stratum  was  divided  into  1  x 
1  km  grids  (1  km  intervals  in  the  case  of  narrow 
channels),  and  several  stations  were  then  random- 
ly selected  with  the  constraint  that  no  two  be  adja- 
cent. Additional  stations  were  added  in  both  STR 
(stratum)  1  and  2  for  the  1984  survey. 

For  the  open  coastal  survey,  three  tracklines 
oriented  perpendicular  to  the  bathymetry  were 
located  off  Copalis  Head,  Westport,  and  Willapa  Bay 
(Cape  Shoalwater)  (Fig.  2).  We  established  a  sys- 
tematic series  of  stations  along  each  trackline  at  9 
m  depth  intervals  from  9  to  64  m.  Whenever  wave 
conditions  permitted,  we  sampled  an  additional  sta- 
tion at  5.5  m.  In  1984,  the  64  m  stations  were 
dropped  on  each  trackline  because  of  consistent  gear 
damage  in  1983.  Also  in  1984,  replicate  tows  were 
made  at  the  27  and  37  m  stations. 

Sampling  Schedule 

We  sampled  the  estuary  twice  monthly  from  April 
through  September  1983  and  1984,  and  a  single  trip 
was  made  in  January  1984  for  continuity.  The  two 


fishery  BULLETIN:  VOL.  86,  NO.  4,  1988. 


823 


i         _j|j«*^Wiiifir'^    -rt^       ^x,                                                         0        2        A        6 

> 

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I 

1 

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^^^"^ "         ^T^-'^'-                O     STtATUM  NUMBER 

T-T-^^        ©     ^^^^s^^Wtv              STRATUM  BOUNDARY 

Pt   ChehalisV.          fy*  °          'Z^*'          "'^"H^ 

V       ii''^'             T               •        '^^         Stratum       Area   (Ha)      Sites 

\     ¥^\°      >T   'y^^^^^^t^^                         1                   3651                 5 

V    \*    •   4&^r^^                                  2                    2516                 6 

\\     ^%0'           ^:                                       3                   1548                 4 

U      '4 /«.r^^\%'-                       *               ^^            ^ 

tl        'fe*'          "^sT^T^^ 

Figure  1.— Chart  of  Grays  Harbor,  WA,  showing  the  four  strata  and  random  trawl  sites  selected  from  grid  lines. 


trips  per  month  coincided  with  low  tides  when 
navigation  and  location  of  stations  within  the  nar- 
row channels  characteristic  of  the  North  Bay  and 
Inner  Harbor  would  be  easiest.  Stations  situated  in 
the  shallow,  unmarked  channels  were  sampled  at 
low  water,  while  stations  in  more  navigable  areas 
were  sampled  during  the  following  periods  of  high 
water.  All  hauls  were  confined  to  slack  tide  periods 
so  that  strong  tidal  currents  would  not  interfere 
with  the  operation  of  the  beam  trawl.  We  sampled 
the  offshore  study  area  once  a  month  from  April 
through  September. 

Field  Techniques 

Within  the  estuary,  the  plumb  staff  beam  trawl 
was  operated  from  a  6  m  outboard  boat,  while  off- 
shore, either  a  17  m  or  20  m  vessel  was  chartered. 
Mechanical  or  hydraulic  winches  allowed  the  re- 
trieval of  the  beam  trawl  while  underway,  reducing 
escapement  of  captured  organisms  from  the  net. 

At  all  stations,  the  beam  trawl  was  hauled  for  a 
distance  dependent  on  the  amount  of  epibenthic 
material  expected.  Hauls  of  <10  minutes  duration 


(200-300  m)  were  necessary  within  the  estuary 
because  the  small  mesh  cod  end  liner  would  clog  with 
mud  and  organic  debris,  making  the  net  difficult  to 
retrieve.  Although  the  same  problem  existed  in  the 
open  coast  survey  area,  hydraulic  lifting  gear  en- 
abled hauls  of  up  to  20-30  min  duration  (800-1,000 
m)  at  most  stations.  We  attempted  to  tow  at  3  km/h 
with  a  scope  of  about  5:1;  at  depths  <5  m,  the  scope 
was  increased  to  10:1. 

Within  the  estuary,  marker  buoys  were  deployed 
where  we  estimated  the  trawl  started  and  stopped 
fishing.  The  distance  fished  was  determined  by 
measuring  between  buoys  with  an  optical  range- 
finder.  Along  the  open  coast,  Loran  C  readings  were 
recorded  at  points  we  estimated  the  trawl  first  con- 
tacted and  left  bottom  and  were  later  converted  to 
distance  fished. 

We  sorted  most  of  the  catch  by  species  (some 
fishes  to  family  only),  and  information  was  recorded 
for  total  weight  and  number  per  haul.  Random  sub- 
sampling  of  the  catch  (never  <20%  by  weight)  was 
performed  when  necessary  to  speed  processing. 
Length  frequencies  and  individual  lengths  and 
weights  were  recorded  for  selected  species. 


824 


Figure  2.— Chart  of  the  open  coast  adjacent  to  Grays  Harbor,  WA,  showing  the  isobaths, 
tracklines,  and  systematic  trawl  stations. 


Data  Analyses 

Nautical  charts  of  Grays  Harbor  and  the  adjacent 
open  coast  were  digitized  and  strata  areas  were 
calculated  (Figs.  1,  2),  using  computerized  algor- 
ithms available  in  the  software  library  of  the 
NWAFC  Resource  Assessment  and  Conservation 
Engineering  Division.  Strata  were  defined  for  the 
offshore  area  by  first  extending  the  north  and 
south  boundaries  5  nmi  from  the  Copalis  and  Willapa 
transects,  respectively,  and  then  determining  the 
area  between  the  5,  15,  40,  and  75  m  depth  con- 
tours. 

Estimates  of  mean  density  of  young  English  sole 
by  stratum  by  month,  population  by  stratum,  and 
total  population  for  each  survey  area  were  calcu- 
lated, using  slight  modifications  of  the  methods  of 
Pereyra  et  al.  (1976).  In  calculating  density  esti- 


mates (number/hectare)  from  catch  per  kilometer, 
the  efficiency  coefficient  of  the  gear  was  assumed 
to  be  unity  (i.e.,  all  fishes  in  the  path  would  be  cap- 
tured). Length  frequencies  for  5  mm  (TL)  size  inter- 
vals were  used  to  calculate  size  composition.  Age 
classes  were  then  determined  by  visual  inspection 
of  the  resultant  length-frequency  histograms.  After- 
wards, the  proportion  of  individuals  within  the  size 
range  of  the  0-age  group  in  a  particular  month  was 
multiplied  by  the  total  population  for  that  month  to 
provide  an  estimate  of  the  abundance  of  0-age 
recruits. 

Results 

Over  the  course  of  the  2-yr  study,  we  completed 
a  total  of  592  trawls,  349  within  Grays  Harbor  and 
243  along  the  open  coast  (Table  1).  Hauls  within  the 


825 


Table  1.— Allocation  of  sampling  effort  indicating  the  number  of 
successful  trawls  completed  for  each  trip. 


Survey 

1983 

1984 

area 

Month 

Trips 

Trawls 

Month 

Trips 

Trawls 

Estuary 

Apr. 

2 

9,13 

Jan. 

1 

13 

May 

2 

13,16 

Apr. 

1 

5 

June 

2 

16,14 

May 

2 

15,16 

July 

2 

16,16 

June 

2 

18,18 

Aug. 

2 

14,16 

July 

2 

18,17 

Sept. 

1 

16 

Aug. 

2 

19,17 

Oct. 

1 

16 

Sept. 

1 

18 

Total 

175 

174 

Open  coast 

May 

1 

17 

Apr. 

19 

July 

1 

20 

May 

23 

Aug. 

1 

25 

June 

26 

Sept. 

1 

48 

Aug. 
Sept. 

32 
33 

Total 

110 

133 

estuary  averaged  0.25  km  at  2.52  km/h,  while  in  the 
coastal  study  area  they  averaged  0.91  km  at  3.32 
km/h. 

Distribution  and  Abundance 

We  captured  a  total  of  13  species  of  flatfishes  in 
the  two  study  areas  during  the  2-yr  survey  (Table 
2).  Juvenile  sanddab,  sand  sole,  and  English  sole 
were  found  to  be  abundant  both  in  Grays  Harbor 
estuary  and  along  the  open  coast.  Two  species  in 
particular,  English  sole  and  starry  flounder,  were 
found  to  have  much  higher  densities  in  the  estuary 
than  along  the  open  coast  (Table  2).  English  sole 
were  found  to  be  the  most  abundant  flatfish  in  the 
estuary  for  both  years  and  along  the  open  coast  in 
1984. 


For  both  years  within  Grays  Harbor,  densities 
of  English  sole  generally  were  highest  in  STR  1,  2, 
and  4  and  lowest  densities  in  STR  3  (Table  3). 
Apart  from  changes  due  to  recruitment,  fluctuation 
in  abundance  in  the  four  areas  of  the  estuary  was 
likely  affected  by  movement  of  juveniles  between 
strata  and  between  the  estuary  and  open  coast. 
Along  the  open  coast,  greatest  densities  were 
observed  nearshore  (Table  4)  in  depths  <40  m. 
In  1984,  English  sole  were  most  abundant  at  5-15 
m  owing  to  the  presence  of  high  numbers  of  0-age 
fish. 

Mean  density  (all  months  combined)  within  the 
estuary  was  over  20  times  greater  than  the  open 
coast  in  1983.  Settlement  of  fish  <25  mm  TL 
was  much  greater  in  1984  than  1983  in  both 
areas,  but  estuarine  density  was  still  higher  than 
that  of  the  open  coast.  A  t-test  was  performed  on 
log-transformed  CPUE  (Zar  1984)  because  catch 
data  are  typically  nonnormally  distributed.  Re- 
sults showed  a  significantly  greater  density  (P  < 
0.0001)  of  juvenile  English  sole  in  the  estuary 
than  along  the  open  coast  for  both  1983  (562  vs. 
23  mean  no./ha)  and  1984  (1,149  vs.  178  mean 
no. /ha). 

Population  Estimates 

In  making  population  estimates,  mean  densities 
of  fish  less  than  age  V  by  month  were  multiplied  by 
strata  areas.  Comparison  of  length  frequencies  of 
fish  we  collected  with  published  age-at-length  rela- 
tionships (Van  Cleve  and  El  Sayed  1969)  indicated 
that  fish  beyond  age  IV  were  rarely  captured.  Older 
fish  may  not  have  been  present  in  the  study  areas 


Table  2.— Stratified  mean  densities  and  2  SE  (in  parentheses)  for  juvenile  flatfish  captured  in  the  two  survey 

areas  for  1983-84. 


Species 


English  sole,  Parophrys  vetulus 
Pac.  Sanddab,  Citharichthys  sordidus 
Butter  sole,  Isopesetta  isolepsis 
Sand  sole,  Psettichthys  melanosticus 
Dover  sole,  Microstomus  pacificus 
Rex  sole,  Glyptocephalus  zachirus 
Slender  sole,  Lyopsetta  exills 
Starry  flounder,  Platichthys  stellatus 
Petrale  sole,  Eopsetta  jordani 
Rock  sole,  Lepidopsetta  bilineata 
C-0  sole,  Pleuronichthys  coenosus 
Curlfin  sole,  Pleuronichthys  coenosus 
Cal.  tonguefish,^  Symphums  atricauda 


1983  densities  (no./ha) 

1984  densities  (no./ha) 

Estuary 

Open  coast 

Estuary 

Open  coast 

562(132) 

23(10) 

1,149(237) 

178(101) 

147(30) 

94(24) 

94(33) 

65(22) 

<1 

37(10) 

<1 

13(4) 

27(11) 

10(6) 

36(14) 

23(11) 

— 

11(5) 

— 

8(4) 

— 

10(5) 

— 

2(2) 

— 

2 

— 

1 

25(16) 

<1 

10(7) 

1 

— 

<1 

— 

<1 

— 

<1 

— 

<1 

<1 

<1 

— 

— 

<1 

<1 

— 

<1 

<1 

<1 

— 

— 

'Occurrence  considered  anomolous  (Dinnel  and  Rogers  1986). 


826 


Table  3— Population  estimates  for  juvenile  English  sole  in  the  estuary  survey  area  by  date 
(month/year)  and  by  stratum  (1-4).  The  95%  confidence  interval  for  the  total  population  is  ob- 
tained by  adding  or  substracting  the  value  m  parentheses. 


Date 

Stra- 
tum 

Density 
(no./ha) 

Population 
(millions) 

Date 

Stra- 
tum 

Density 
(no./ha) 

Population 

(millions) 

4/83 

1 
2 
3 
4 

82 
127 
312 
383 

0.301 
0.318 
0.483 
0.318 

1/84 

1 
2 
3 

4 

66 

100 
207 
158 

0.239 

0.251 
0.320 
0.131 

Total 

1.421  (0.851) 

Total 

0.942  (0.472) 

5/83 

1 
2 
3 
4 

1,138 

297 

84 

1,825 

4.154 
0.747 
0.130 
1.515 

5/84 

1 
2 
3 
4 

2,191 

4,858 

575 

2,045 

7.999 

12.223 

0.890 

1.697 

Total 

6.545  (5.045) 

Total 

22.808  (8.686) 

6/83 

1 

2 
3 

4 

681 

961 

71 

801 

2.488 
2.417 
0.110 
0.665 

6/84 

1 
2 
3 

4 

1,092 

1,049 

160 

835 

3.986 
2.639 
0.248 
0.693 

Total 

5.679  (3.089) 

Total 

7.565  (4.195) 

7/83 

1 

2 
3 
4 

717 

775 
222 
740 

2.616 
1.950 
0.344 
0.614 

7/84 

1 
2 
3 

4 

1.360 

2,470 

212 

1,087 

4.966 
6.214 
0.328 
0.902 

Total 

5.524  (3.836) 

Total 

12.411  (5.569) 

8/83 

1 
2 
3 
4 

648 
662 
390 
468 

2.365 
1.666 
0.604 
0.388 

8/84 

1 
2 
3 
4 

1,285 
939 
417 
402 

4.691 
2.362 
0.645 
0.333 

Total 

5.023  (2.898) 

Total 

8.031  (3.557) 

9/83 

1 
2 
3 

4 

765 
291 

195 

524 

2.793 
0.733 
0.301 
0.435 

9/84 

1 
2 
3 
4 

124 
558 
755 
262 

0.451 
1.403 
1.169 
0.217 

Total 

4.262  (2.772) 

Total 

3.241  (1.745) 

10/83 

1 
2 
3 
4 

Total 

125 

598 

564 
115 

0.457 
1.505 
0.873 
0.095 

2.931  (1.251) 

or,  more  likely,  were  better  able  to  avoid  the  nar- 
row beam  trawl. 

Within  the  estuary,  English  sole  were  most  nu- 
merous in  May  of  both  years,  but  the  peak  of  22.8 
million  in  1984  was  more  than  3  times  higher  than 
the  peak  of  6.5  million  in  1983  (Table  3).  Although 
the  distribution  of  the  English  sole  population  within 
the  estuary  was  highly  variable,  the  bulk  of  the 
population  was  in  STR  1  or  STR  2  for  most  months. 
Along  the  open  coast,  the  English  sole  population 
peaked  at  the  same  time  and  at  generally  the  same 
levels  as  the  estuary  for  both  years,  about  5.9  and 
23.2  million  for  1983  and  1984,  respectively  (Table 
4).  Comparable  populations  of  young  fish  occurred 
in  both  areas  despite  the  18  times  greater  geograph- 
ic extent  of  the  offshore  survey  area. 


Recruitment 

Relative  recruitment  to  the  two  survey  areas  was 
measured  in  terms  of  populations  of  0-age  fish. 
Within  the  estuarine  study  area,  recently  trans- 
formed (<25  mm  TL;  Laroche  et  al.  1982)  English 
sole  were  observed  from  April  to  July  in  1983,  and 
in  January  and  from  May  to  August  in  1984.  Peak 
abundance  of  this  size  range  was  observed  in  May 
of  both  years,  but  it  is  highly  likely  that  early  spring 
peaks  were  missed  since  our  study  lacked  adequate 
coverage  of  fall,  winter,  and  early  spring  months. 
Duration  of  settlement  along  the  Oregon  coast  is 
known  to  be  much  longer  than  observed  in  our  study 
(Laroche  and  Richardson  1979;  Boehlert  and  Mundy 
1987).  Along  the  open  coast,  settlement  seemed  to 


827 


Table  4.— Population  estimates  for  juvenile  English  sole  in  the  open  coast  survey  area 
by  date  (month/year)  and  by  stratum  (1-4).  The  95%  confidence  interval  for  total  popula- 
tion is  obtained  by  adding  or  substracting  the  value  in  parentheses. 


Date 


Depth 
(m) 


Density 
(no./ha) 


Population 
(millions) 


Depth      Density 
Date        (m)        (no./ha) 


Population 
(millions) 


5/83 


7/83 


8/83 


9/83 


5-15 
15-40 
40-75 
Total 

5-15 
15-40 
40-75 
Total 

5-15 
15-40 
40-75 

Total 

5-15 
15-40 
40-75 

Total 


6 

100 

11 


2 

20 

8 


54 
35 
12 


12 

32 

3 


0.115 
4.881 
0.887 

5.883  (4.666) 

0.044 
0.983 
0.680 
1.707  (1.840) 

1.028 
1.709 
0.991 
3.728  (2.390) 

0.230 
1.547 
0.269 

2.045  (0.902) 


4/84 


5/84 


6/84 


8/84 


9/84 


5-15 

165 

3.124 

15-40 

47 

2.318 

40-75 

55 

4.525 

Total 

9.967     (7.071) 

5-15 

190 

3.598 

15-40 

80 

3.911 

40-75 

191 

15.667 

Total 

23.176  (19.225) 

5-15 

226 

4.282 

15-40 

48 

2.356 

40-75 

9 

0.732 

Total 

7.370    (3.110) 

5-15 

903 

17.133 

15-40 

14 

0.670 

40-75 

21 

1.724 

Total 

19.527  (18.981) 

5-15 

97 

1.836 

15-40 

322 

15.761 

40-75 

5 

0.402 

Total 

18.000  (11.494) 

be  of  shorter  duration,  though  again,  the  survey 
lacked  sampling  effort  from  October  through  March. 
Recently  transformed  juveniles  were  captured  only 
during  May  in  1983  and  were  found  from  April  to 
September  in  1984.  Peak  abundance  was  observed 
in  May  as  in  the  estuary. 

Populations  of  0-age  fish  were  determined  using 
estimates  of  total  juvenile  population  (Tables  3,  4) 
and  size-frequency  data  (Table  5).  These  estimates 
show  that  English  sole  had  higher  recruitment  to 
the  estuary  than  to  the  open  coast  for  early  spring 
of  both  years.  The  estuarine  population  of  young- 
of-the-year  exceeded  that  of  the  open  coast  by  over 
four  times  (6.4  vs.  1.5  million)  in  May  1983.  The  dif- 
ference was  less  pronounced  in  May  1984,  but  the 
estuarine  population  was  again  higher  (22.8  vs.  19.0 
million).  Later  in  summer  in  both  years,  the  estu- 
arine population  of  0-age  fish  declined  to  a  greater 
extent  than  that  along  the  open  coast,  but  some  of 
the  relative  change  is  likely  due  to  emigration  from 
the  estuary. 

Densities  were  plotted  by  5  mm  length  interval 
for  the  estuarine  and  open  coast  study  areas  for  May 
each  year,  a  period  of  high  settlement  (Fig.  3).  Den- 
sities of  juveniles  <25  mm  were  more  than  10  times 
greater  in  the  estuary,  indicating  disporportionately 
higher  direct  settlement  and/or  higher  mortality  of 
newly  settled  juveniles  in  the  open  coast  area.  When 


Table  5.— Length  ranges  (mm  TL)  of  0-age  English  sole  deter- 
mined from  visual  inspection  of  length-frequency  distributions  by 
study  area  and  by  date  (month/year).  Modal  and  mean  lengths,  and 
the  proportion  of  total  population  comprised  by  the  0-age  group 
are  also  indicated. 


Range 

Mode 

Mean 

Propor- 

Study area 

Date 

(mm) 

(mm) 

(mm) 

tion 

Estuary 

4/83 

19-  84 

65 

57.6 

0.85 

5/83 

19-  99 

30 

50.5 

0.97 

6/83 

18-114 

40 

62.5 

0.98 

7/83 

26-119 

55 

73.8 

0.99 

8/83 

43-124 

70 

79.1 

0.99 

9/83 

49-145 

80 

87.0 

1.00 

10/83 

62-130 

85 

92.8 

1.00 

1/84 

25-  54 

35 

34.9 

0.58 

5/84 

15-  84 

20 

26.9 

1.00 

6/84 

20-  99 

30 

46.4 

0.96 

7/84 

25-114 

85 

66.9 

0.99 

8/84 

30-124 

90 

84.8 

0.99 

9/84 

50-135 

90 

92.0 

1.00 

Open  coast 

5/83 

21-  60 

35 

33.3 

0.25 

7/83 

99-115 

100 

104.0 

0.07 

8/83 

43-165 

120 

115.4 

0.80 

9/83 

53-200 

110 

134.7 

0.89 

4/84 

15-  35 

20 

19.5 

0.90 

5/84 

15-  90 

20 

26.5 

0.82 

6/84 

15-120 

30 

48.6 

0.87 

8/84 

20-160 

95 

91.0 

0.98 

9/84 

20-180 

130 

119.0 

0.89 

828 


Figure  3.— Density  of  juvenile  English  sole 
by  length  interval  for  May  and  September 
of  1983  and  1984.  Note  the  higher  density 
of  0-age  fish  in  the  estuary  each  spring. 


r 
\ 
o 

z. 


c 

Q 


10' 


10' 


10' 


Mag  1983 


10"  - 


10" 


10* 


Estuary 
Open  Coast 


o 

o  upe 


50  100 

September    1983 


150 


eoo 


1) 

X 
\ 

o 

z: 

IT 
«-> 

U) 

C 


10'       - 


10" 


10" 


lO" 


O  Estuary 
«  Open   Coast 


■r-      '^   ~ '  I  '  ' 

150 


200 


Mag    1984 


I 
\ 
o 

z: 


in 

c 

0; 


lO'      ' 


10*     - 


10'  - 
10'  - 
10"'     - 


10 


-? 


o  Estuarg 
®  Open   Coast 


f  f  f  V 


50  100 

September  1984 


150 


200 


I 
\ 
o 

z: 


c 

C3 


10* 


10' 


lO"       - 


10 


-1 


10" 


Length     (mm) 


829 


densities  were  plotted  by  length  interval  the  fol- 
lowing September  of  each  year,  it  was  evident 
that  fish  over  140  mm  were  not  available  in  the 
estuary  and  had  probably  emigrated  to  the  open 
coast. 

Discussion 

If  there  is  an  adaptive  advantage  in  utilizing  estu- 
arine  nursery  grounds  rather  than  the  open  coast, 
there  must  exist  a  mechanism  for  0-age  fish  to  enter 
estuarine  systems.  Although  English  sole  larvae  are 
abundant  in  coastal  waters  (Richardson  and  Pearcy 
1977),  early  stages  have  not  been  prevalent  in  estu- 
arine larval  surveys  (Pearcy  and  Meyers  1974; 
Misitano  1977).  Large  transforming  larvae  (18-23 
mm)  have  been  collected  in  Humboldt  Bay  and 
Columbia  River  estuary  (Misitano  1976,  1977),  and 
in  Yaquina  Bay  (Boehlert  and  Mundy  1987).  Immi- 
gration of  0-age  English  sole  to  the  Grays  Harbor 
estuary  may  be  accomplished  by  direct  settlement 
of  transforming  larvae  after  simple  advection  by 
ocean  water  into  the  bay,  or  by  movements  of  new- 
ly settled  benthic  juveniles.  Such  movement  could 
be  accomplished  either  actively  or  by  selective  tidal 
transport  as  noted  for  juvenile  flatfishes  in  the 
North  Sea  (DeVeen  1978). 

During  the  period  of  this  study,  newly  trans- 
formed English  sole  were  found  both  within  the 
Grays  Harbor  estuary  and  along  the  adjacent  open 
coast.  English  sole  have  also  been  shown  to  enter 
Yaquina  Bay  after  settlement  (Boehlert  and  Mundy 
1987)  so  it  is  likely  that  both  transforming  larvae 
and  settled  juvenile  English  sole  may  enter  Grays 
Harbor.  Krygier  and  Pearcy  (1986)  found  newly 
transformed  English  sole  to  be  more  abundant  in 
open  coastal  areas  and  presumed  movement  into 
Oregon  estuaries  to  occur  predominantly  after 
transformation.  The  occurrence  of  recently  trans- 
formed benthic  juveniles  in  such  high  numbers 
throughout  Grays  Harbor  suggests  direct  settlement 
of  late  stage  larvae  after  advection  into  the  estuary 
may  also  be  an  important  mode  of  entry. 

Emigration  of  the  largest  fish  to  the  open  coast 
took  place  during  late  summer,  and  all  fish  larger 
than  140  mm  were  found  exclusively  in  the  open 
coast  area  by  September.  Studies  of  other  estuarine 
nursery  areas  have  indicated  that  the  emigration 
process  involves  the  larger  size  classes  of  0-age  fish 
(Herke  1971;  Weinstein  1983).  Emigration  from  Ya- 
quina Bay  of  the  larger  0-age  English  sole  has  been 
noted  in  the  fall  (Westrheim  1955;  Olsen  and  Pratt 
1973;  Bayer  1981).  Angell  et  al.  (1975)  observed  a 


similar  phenomenon  for  young  English  sole  in  a 
Puget  Sound  nursery  area. 

The  departure  of  larger  juveniles  later  in  summer 
may  be  in  response  to  changing  environmental  con- 
ditions and  may  be  indicative  of  the  limits  of  the 
carrying  capacity  of  estuaries  being  exceeded  for 
populations  of  juvenile  fish  (Krygier  and  Pearcy 
1986).  Alternatively,  a  change  in  dietary  preferences 
of  larger  0-age  fish  may  cause  them  to  leave  estu- 
aries in  search  of  prey  items  (Toole  1980),  thus 
reducing  intraspecific  competition.  The  advantage 
in  utilization  of  estuarine  nurseries  then,  may  be 
more  for  protection  of  vulnerable  sizes  rather  than 
for  accelerated  growth  (Rosenberg  1982). 

Even  though  our  study  found  a  great  deal  of  inter- 
annual  variability,  the  Grays  Harbor  estuary  and 
other  nearby  estuaries  (Shi  1987)  clearly  are  impor- 
tant nursery  grounds  for  juvenile  English  sole, 
which  had  similar  size  populations  in  the  estuarine 
and  offshore  study  areas  despite  the  greater  geo- 
graphic extent  of  the  latter.  Peak  population  esti- 
mates for  0-age  English  sole  for  the  month  of  May 
show  that  81%  and  54%  of  0-age  fish  in  the  Grays 
Harbor  area  were  found  in  the  estuary  in  1983  and 
1984,  respectively.  This  is  probably  an  underesti- 
mate of  the  degree  of  estuarine  dependence,  how- 
ever, because  some  juveniles  may  move  into  the 
estuary  later  in  the  summer.  Nevertheless,  our 
results  show  that  at  least  half  of  the  0-age  English 
sole  in  the  Grays  Harbor  nearshore  area  make  use 
of  an  estuary  during  the  first  year  of  life.  This  kind 
of  information  will  prove  useful  in  assessing  the 
economic  impact  on  commercial  fisheries  from 
navigation  and  industrial  development  projects, 
which  may  contribute  to  habitat  degradation  in 
Grays  Harbor. 

Acknowledgments 

This  note  represents  part  of  a  Masters  Thesis  sub- 
mitted to  the  University  of  Washington  School  of 
Fisheries  by  C.  W.  Rogers.  Work  was  supported 
primarily  by  the  Washington  Sea  Grant  Program 
(NOAA  grant  NA81AA-D00030,  R/F-49).  Data  pro- 
cessing assistance  from  the  Northwest  and  Alaska 
Fisheries  Center  is  gratefully  acknowledged.  Logis- 
tic support  was  provided  by  the  U.S.  Coast  Guard 
and  the  Washington  Department  of  Fisheries.  The 
senior  author  also  acknowledges  the  sponsors  of  the 
Melvin  G.  Anderson  Memorial  Scholarship  and  the 
Graduate  School  of  the  University  of  Washington 
for  support  of  portions  of  this  work.  We  are  grate- 
fully indebted  to  all  who  assisted  in  field  collections, 


830 


especially  D.  Samuelson,  K.  Carrasco,  A.  R.  Black, 
and  B.  Gutermuth. 


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Comm.  Bull.  7:73-79. 
Toole,  C.  L. 

1980.  Intertidal  recruitment  and  feeding  in  relation  to  optimal 
utilization  of  nursery  areas  by  juvenile  English  sole  (Paro- 
phrys vetulus:  Pleuronectidae).    Environ.  Biol.  Fishes  5: 
383-390. 
Van  Cleve,  R.,  and  S.  Z.  El-Sayed. 

1969.    Age,  growth,  and  productivity  of  an  English  sole  (Paro- 
phrys vetulus)  population  in  Puget  Sound,  Washington. 
Pac.  Mar.  Fish.  Comm.  Bull.  7:51-71. 
Weinstein,  M.  p. 

1983.  Population  dynamics  of  an  estuarine-dependent  fish, 
the  spot  (Leiostomus  xanthurus),  along  a  tidal  creek-seagrass 
meadow  coenocline.  Can.  J.  Fish.  Aquat.  Sci.  40:1633- 
1638. 

Westrheim,  S.  J. 

1955.    Size  composition,  growth  and  seasonal  abundance  of 
juvenile  English  sole  (Parophrys  vetulus)  in  Yaquina  Bay. 
Fish.  Comm.  Oreg.  Res.  Briefs  6:4-9. 
Zar,  J.  H. 

1974.  Biostatistical  analysis.  Prentice-Hall,  Inc..  Englewood 
Cliffs,  NJ,  718  p. 


Christopher  W.  Rogers 


School  of  Fisheries 
University  of  Washington 
Seattle,  WA  98195 
present  address: 
College  of  Marine  Studies 
Robinson  Hall,  Room  305 
University  of  Delaware 
Newark,  DE  19716 


School  of  Fisheries 
University  of  Washington 
Seattle,  WA  98195 


Donald  R.  Gunderson 
David  A.  Armstrong 


831 


LENGTH-WEIGHT  RELATIONSHIPS  FOR  GULF 

FLOUNDER,  PARALICHTHYS  ALBIGUTTA, 

FROM  NORTH  CAROLINA 

Ginsburg  (1952)  resolved  that  the  gulf  flounder, 
Paralichthys  albigutta,  ranging  from  North  Carolina 
to  Laguna  Madre,  TX  (Topp  and  Hoff  1972;  Hoese 
and  Moore  1977;  Robins  and  Ray  1986),  was  aPara- 
lichthys.  Topp  and  Hoff  (1972)  summarized  the 
many  distributional  records  known  throughout  its 
range.  Other  than  keys  to  the  species  of  Paralich- 
thys (Gutherz  1967),  much  of  the  biology  of  the  gulf 
flounder  remains  unknown  even  though  it  abounds 
east  of  the  Mobile  Bay  system  (Joseph  and  Yerger 
1956;  Topp  and  Hoff,  1972;  Shipp  1986). 

Some  researchers  cite  a  390  mm  (total  length,  TL) 
Cedar  Key,  FL  specimen  (Jordan  and  Swain  1885) 
as  the  largest  size  attained  by  the  gulf  flounder 
(Hoese  and  Moore  1977;  Robins  et  al.  1986).  Vick 
(1964)  noted  a  710  mm,  5  kg,  specimen  in  the  sport 
fishery  off  Panama  City,  FL  but  did  not  furnish  data 
on  specimens  larger  than  380  mm  TL. 

We  present  length-weight  regression  data  for 
North  Carolina  gulf  flounder  from  263  to  673  mm 
TL  and  318  to  3,706  g. 

Methods 

Since  1975,  75  gulf  flounder  were  speared  while 
scuba  diving  along  the  Cape  Lookout  rock  jetty  (13 


km  east)  and  the  artificial  fishing  reef  (3  km  SE)  off 
Morehead  City,  NC.  Most  dives  occurred  in  Novem- 
ber and  December,  when  P.  albigutta  and  other 
paralichthids  congregated  in  nearshore  ocean 
waters  off  Carteret  County,  NC  prior  to  their  off- 
shore spawning  migration.  Specimens  were  weighed 
to  the  nearest  gram  on  beam  balances  and  meas- 
ured (total  length)  in  millimeters  within  hours  of 
capture. 

Observations 

While  gulf  flounder  are  not  abundant  in  North 
Carolina  (Schwartz  et  al.  1979, 1982),  they  are  cap- 
tured by  hook  and  line  or  spear  fishermen  when  the 
fish  frequent  high  saline  nearshore  ocean  waters  or 
inlets  (Schwartz  1979,  1982).  Species  of  Paralich- 
thys can  usually  be  separated  from  each  other  by 
the  number  of  gill  rakers  on  the  lower  first  gill  arch, 
fin  ray  count,  spotting,  body  width,  salinity  prefer- 
ence, and  depth  distribution  preference  (Gutherz 
1967).  Gulf  flounder  possess  9-12  (usually  10-11)  gill 
rakers  on  the  lower  first  arch,  53-63  anal  rays,  and 
three  prominent  ocellated  spots  arranged  in  a  tri- 
angular pattern.  North  Carolina  gulf  flounder  had 
9-13  gill  rakers  on  the  lower  first  arch  (65  speci- 
mens) and  54-67  anal  fin  rays.  Complete  anal  rays 
were  not  counted  in  17  specimens. 

Gulf  flounders  caught  consisted  of  13  males  and 
62  females.  Males  ranged  from  310  to  426  mm  TL 


260 


300 


340  380  420  460  500  540 

Total   length  (TL)  mm 


580 


620 


660 


700 


Figure  1.— Length-weight  relationship  for  gulf  flounders,  Paralichythys  albigutta,  from  North  Carolina.  Asterisk  represents  Vick's 

specimen. 


832 


FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


and  weighed  318  to  949  g,  while  females  ranged 
from  263  to  673  mm  TL  and  408  to  3,706  g  (Fig. 
1).  The  length-weight  relationship  for  North  Caro- 
lina gulf  flounder  can  best  be  expressed  as  log  w  = 
-5.24  +  3.134  log  /  for  75  specimens  (sexes  com- 
bined), r  =  0.957  (Fig.  1).  Little  change  occurred 
when  the  male  data  was  removed  because  the  female 
length-weight  relationship  was  virtually  the  same: 
log  w  =  -5.018  +  3.053  log  I  (N  =  62),  r  =  0.955. 
Vick's  (1964)  large  specimen,  710  mm  TL,  5,000  g, 
fits  right  on  our  regression  curve.  Thus,  there  is 
little  doubt  that  his  specimen  was  P.  albigutta  be- 
cause P.  dentatus  does  not  occur  in  the  Gulf  of  Mex- 
ico (Robins  and  Ray  1986),  and  P.  squamilentus  or 
P.  lethostigma  possess  other  distinguishing  meristic, 
morphometric,  and  ecological  requirements  (Vick 
1964;  Gutherz  1967). 

The  maximum  known  upper  size  and  weight  can 
now  be  raised  to  at  least  673  mm  and  3,706  g  in 
North  Carolina. 


Acknowledgments 

Thanks  are  extended  to  the  North  Carolina 
Marine  Reef  program  personnel,  which  included 
G.W.S.,  for  assisting  in  collecting  flounders  in  1975. 
Val  and  Henry  Page  produced  Figure  1;  Charleen 
Miller,  Texas  A&M  Research  Foundation,  was  in- 
strumental in  locating  Vick's  1964  report;  and 
Brenda  Bright  typed  the  manuscript. 

Literature  Cited 

GiNSBURG,  I. 

1952.    Flounders  of  the  genus  Paralichthys  and  related  genera 
in  American  waters.    U.S.  Fish.  Wildl.  Serv.,  Fish.  Bull. 
52:267-351. 
Gutherz.  E.  J. 

1967.    Field  guide  to  the  flatfishes  of  the  family  Bothidae  in 
the  western  North  Atlantic.    U.S.  Fish  Wildl.  Serv.,  Circ. 
263,  47  p. 
HoESE,  H.  D.,  AND  R.  H.  Moore. 

1977.    Fishes  of  the  Gulf  of  Mexico,  Texas,  Louisiana,  and  ad- 
jacent waters.    Texas  A&M  Univ.  Press,  College  Station, 
327  p. 
Jordan,  D.  S.,  and  J.  Swain. 

1885.    Notes  on  fishes  collected  by  David  S.  Jordan  at  Cedar 
Keys,  Florida.    Proc.  U.S.  Natl.  Mus.  7  (1884):230-234. 
Joseph,  E.  B.,  and  R.  W.  Yerger. 

1956.    The  fishes  of  Alligator  Harbor,  Florida,  with  notes  on 
their  natural  history.    Fla.  State  Univ.  Stud.  No.  22,  Pap. 
Oceanogr.  Inst.  No.  2,  p.  111-156. 
Robins,  C.  R.,  and  G.  C.  Ray. 

1986.    A  field  guide  to  Atlantic  coast  fishes  of  North  America. 
Houghton  Mifflin  Co.,  Boston,  354  p. 
Schwartz,  F.  J.,  W.  T.  Hogarth,  and  M.  P.  Weinstein. 
1982.    Marine  and  freshwater  fishes  of  the  Cape  Fear  estuary, 


North  Carolina,  and  their  distribution  in  relation  to  environ- 
mental factors.    Brimleyana  No.  7,  p.  17-37. 
Schwartz,  F.  J.,  P.  Perschbacker,  L.  Davidson,  K.  Sandoy, 
J.  Tate,  M.  McAdams,  C.  Simpson,  J.  Duncan,  and  D.  Mason. 
1979.    An  ecological  study  of  fishes  and  invertebrate  macro- 
fauna  utilizing  and  Cape  Fear  River  estuary,  Carolina  Beach 
Inlet,  and  adjacent  Atlantic  Ocean.    Inst.  Mar.  Sci.  Publ., 
Morehead  City,  NC,  326  p. 
Shipp,  R.  L. 

1986.    Dr.  Bob  Shipp's  guide  to  the  fishes  of  the  Gulf  of  Mex- 
ico.   Dauphin  Island  Sea  Lab  Press,  Dauphin  Island,  AL, 
256  p. 
Topp,  R.  W.,  and  F.  H.  Hoff,  Jr. 

1972.    Flatfishes  (Pleuronectes),  Vol.  4,  Pt.  II.  Hourglass 
cruises.    Fla.  Dep.  Nat.  Resour.,  St.  Petersburg,  Fla.,  135  p. 
Vick,  N.  G. 

1964.  The  marine  ichthyofauna  of  St.  Andrew  Bay,  Florida, 
and  nearshore  habitats  of  the  northeastern  Gulf  of  Mexico. 
Texas  A&M  Univ.  Res.  Found.  Proj.  286-D,  77  p. 


Glen  W.  Safrit 
Frank  J.  Schwartz 


Institute  of  Marine  Sciences 
University  of  North  Carolina 
Morehead  City,  NC  28557 


FUNCTIONAL  REGRESSION  EQUATIONS  FOR 

ZOOPLANKTON  DISPLACEMENT  VOLUME, 

WET  WEIGHT,  DRY  WEIGHT,  AND  CARBON: 

A  CORRECTION 

The  objective  of  this  note  is  to  point  out  the  fact  that 
the  first  nine  equations  published  by  Wiebe  et  al. 
(1975,  table  2)  were  those  appropriate  for  the  Y  on 
X  regressions;  they  were  not  the  functional  regres- 
sion equations  as  originally  claimed.  This  mistake 
was  discovered  as  a  result  of  correspondence  with 
F.  A.  Ascioti  (Dip.  di  Biologia  Animale  Ed  Ecologia 
Marina;  Universita  di  Messina;  Via  Dei  Verdi  75; 
98100  Messina  ITALY).  This  table  2  should  have  had 
the  following  equations  in  it: 


Equation 


Regression  equation 


N 


1 

LOG(DV) 

■■     -143Jf  +  0.820 

LOG(C) 

87 

2 

LOG(WW)       = 

■■     -1.537  +  0.852 

LOG(C) 

70 

3 

LOG(DW) 

0.i99  +  0.991 

LOG(C) 

195 

h 

LOG(DV) 

■■     -1.842  +  0.865 

LOG(DW) 

163 

5 

LOG(WW)       = 

■■     -2.002  +  0.950 

LOG(DW) 

95 

6 

LOG(DV) 

0.139  +  1.003 

LOG(WW) 

77 

7 

LOG(BWW)    = 

■■     -1.9J^7  +  1.050 

LOG(BDW) 

U21 

8 

LOG(BDV)      = 

■■     -1.887  +  1.007 

LOG(BDW) 

uou 

9 

LOG(BDV)      = 

0.005  +  0.981 

LOG(BWW) 

J,03 

FISHERY  BULLETIN:  VOL.  86,  NO.  4,  1988. 


833 


10  LOG(PDW      = 

11  LOG(DV) 

12  LOG(WW)      = 

13  LOG(DV) 


0.853  +  1.02J,  LOG(PC)  45 

1.037  +  0.839  LOG(DW)  111 

0.975  +  0.9A6  LOG(DW)  9It 

0.107  +  1.082  LOG(WW)  76 


To  prepare  these  GM  functional  regression  equa- 
tions (Ricker  1973:412),  the  original  data  were 
checked  and  log  transformed,  and  the  regressions 
recomputed.  The  variances  and  correlation  coeffi- 
cients remain  essentially  unchanged.  Note  that  in 
Wiebe  et  al.  (1975)  and  above,  equations  1-10  are 
based  on  biomass  standardized  to  per  cubic  meter 
while  the  remainder  are  not.  Equations  6  and  10  in 
table  2  of  Wiebe  et  al.  (1975)  also  contained  errors; 
the  intercept  of  equation  6  was  incorrectly  printed 
as  0.670  rather  than  0.067;  the  intercept  of  equa- 
tion 10,  which  was  0.558,  has  been  corrected  to 
0.853. 

The  equations  listed  above,  when  compared  with 
those  originally  presented,  provide  estimates  of  x 
given  yory  given  x,  which  generally  differ  by  less 


than  6%  in  the  central  part  of  the  data  set  and  by 
less  than  15%  in  the  tails  of  the  data  set.  Samples 
similar  in  biomass  and  taxonomic  composition  to 
those  used  in  this  study,  which  we  have  analyzed 
for  size  of  individuals  as  a  function  of  taxonomic  unit 
(Davis  and  Wiebe  1985),  contain  animals  which 
typically  range  in  size  from  0.35  mm  to  100  mm. 

For  a  number  of  samples  for  which  we  reported 
carbon  values,  nitrogen  values  were  also  obtained 
from  the  CHN  analyzers  we  used  (Table  1 ,  this  note). 
Although  carbon  to  nitrogen  conversion  factors  exist 
in  the  literature,  few  are  based  on  data  ranging  over 
as  many  hydrographic  regimes  as  does  data  pre- 
sented in  Wiebe  et  al.  (1975).  Since  a  growing  num- 
ber of  mathematical  models  use  nitrogen  rather  than 
carbon  as  the  basic  currency,  we  take  this  oppor- 
tunity to  present  these  data  (Fig.  1)  and  the  result- 
ing carbon/nitrogen  ratio. 

Functional  regression  of  carbon  versus  nitrogen 
yielded  the  following  significant  {P  <  0.01;  r'  = 
0.99)  relationship: 


10' 


CO 


c 

CD 
CD 
O 


10^ 


10' 


„    1,, 

1 
) 

<  -  A  n  -  48 

□  -An-71 

X  -  BBAY 

- 

-      1 

1 

•  -  GOS-  166 
O - GOS - SW 

1 

1(D^ 


10^ 


10^ 


Carbon  (mg/m^) 


Figure  1.— Plot  of  data  used  in  calculating  the  regression  relating  carbon  and  nitrogen  in  zooplankton  collections  from  areas  specified 

in  Table  1. 


834 


Table  1.— Number  of  zooplankton  samples  for  each  cruise  from 
which  both  carbon  and  nitrogen  were  measured.  The  general  loca- 
tion of  the  stations  for  these  samples  are  given  in  Wiebe  et  al. 
(1975). 


volume,  wet  weight,  dry  weight,  and  carbon.    Fish.  Bull., 
U.S.  73:777-786. 


Peter  H.  Wiebe 


Cruise  or  area 

Date 

No.  of 
measure- 
ments 

Diameter 

of  net 

(mesh  size) 

Buzzards  Bay 

Jan. -June 
1972 

16 

70  cm  (240  nm) 

Slope  Water 
(RV  Gosnold) 

June-Aug. 
1972 

12 

100  cm  (333  ^^m) 

Atlantis  II  48 
(Gulf  of  Mexico) 

Nov.  1968 

19 

70  cm  (240  ^m) 

Gosnold  166 
(New  York  Bight) 

June  1970 

33 

70  cm  (240  /jm) 

Atlantis  II  71 
(Sargasso  Sea) 

Sept.  1972 

39 

100  cm  (333  ^im) 

Nitrogen  (mg/m^)  =   -0.0247 

+  0.2324  carbon  (mg/m^) 

Essentially  the  carbon/nitrogen  ratio  of  the  bulk  zoo- 
plankton  we  collected  is  a  constant  (4.30)  over  a 
broad  range  of  values  and  oceanographic  habitats. 
As  an  atomic  ratio,  5.02,  this  value  is  lower  than  that 
predicted  by  the  Redfield  ratio,  6.63  (Redfield  et  al. 
1963),  an  indication  that  zooplankton  are  nitrogen 
rich  relative  to  their  phytoplankton  counterparts. 

Acknowledgments 

We  would  like  to  express  our  appreciation  to  F.  A. 
Ascioti  for  his  correspondence  and  attention  to 
detail  which  enabled  us  to  correct  the  mistakes  in 
our  previous  publication.  This  research  was  sup- 
ported by  NSF  Grant  OCE-8709962  and  is  Contri- 
bution No.  6839  from  the  Woods  Hole  Oceanograph- 
ic Institution. 

Literature  Cited 

Davis,  C.  S.,  and  P.  H.  Wiebe. 

1985.    Macrozooplankton   biomass   in   a   Warm-Core   Gulf 
Stream  Ring:  Time  series  changes  in  size  structure,  tax- 
onomic  composition  and  vertical  distribution.    J.  Geophys. 
Res.  90:8871-8884. 
Redfield,  A.  C,  B.  H.  Ketchum,  and  F.  A.  Richards. 

1963.    The  influence  of  organisms  on  the  composition  of  sea- 
water.    In  M.  N.  Hill  (editor).  The  Sea,  Vol.  2,  The  composi- 
tion of  sea-water,  p.  26-77.    Intersci.  Publ.,  John  Wiley  and 
Sons,  N.Y. 
Richer,  W.  E. 

1973.    Linear  regressions  in  fishery  research.    J.  Fish.  Res. 
Board  Can.  .30:409-434. 
Wiebe,  P.  H.,  S.  H.  Boyd,  and  J.  L.  Cox. 

1975.    Relationships    between    zooplankton    displacement 


Woods  Hole  Oceanographic  Institute 
Woods  Hole,  MA  0251,3 


ELECTROPHORETIC  IDENTIFICATION  OF 

EARLY  JUVENILE  YELLOWFIN  TUNA, 

THUNNUS  ALBACARES 

Early  juveniles,  13  mm  standard  length  (SL)  or 
larger,  of  yellowfin  tuna,  Thunnus  albacares,  and 
bigeye  tuna,  T.  obesus,  cannot  be  distinguished  on 
the  basis  of  meristic,  morphological,  or  pigmenta- 
tion characters  (Matsumoto  et  al.  1972).  Collette  et 
al.  (1984)  reported  that  most  species  of  the  genus 
Thunnus  can  be  distinguished  at  the  larval  stage  by 
melanophore  patterns.  Matsumoto  et  al.  (1972)  and 
Nishikawa  and  Rimmer  (1987)  suggested  that  T. 
albacares  and  T.  obesus  larvae  can  be  separated  by 
the  respective  absence  or  presence  of  postanal  ven- 
tral melanophores.  Confirmation  of  the  identifi- 
cation of  T.  albacares  larvae  has  been  obtained 
through  laboratory  rearing  studies  (Harada  et  al. 
1971;  Mori  et  al.  1971).  However,  the  use  of  post- 
anal ventral  pigmentation  patterns  as  reliable  char- 
acters to  distinguish  yellowfin  and  bigeye  tuna 
larvae  has  been  questioned  by  Richards  and  Pothoff 
(1974).  Nishikawa  and  Rimmer  (1987)  stated  that 
it  is  virtually  impossible  to  identify  to  species  the 
early  juvenile  stages,  15  to  60  mm  SL,  of  Thunnus 
because  larval  pigmentation  patterns  become 
obscured  and  are  no  longer  diagnostic.  Further- 
more, Pothoff  (1974)  was  unable  to  separate  T. 
albacares  and  T.  obesus  as  early  juveniles,  8  to  100 
mm  SL,  on  the  basis  of  osteological  characters. 

Electrophoresis  of  water  soluble  proteins  has  been 
used  to  distinguish  morphologically  similar  larval 
and  early  juvenile  marine  fishes  (Morgan  1975; 
Smith  and  Crossland  1977;  Sidell  et  al.  1978;  Smith 
and  Benson  1980).  Sharp  and  Pirages  (1978) 
presented  starch  gel  electrophoretic  patterns  for 
several  loci  of  adults  of  many  scombrid  species,  in- 
cluding most  members  of  the  genus  Thunnus.  Al- 
though electrophoretically  very  similar,  adults  of 
yellowfin  and  bigeye  tuna  can  be  unambiguously 
distinguished  by  the  electrophoretic  pattern  of  the 
muscle  isozyme  of  glycerol-3-phosphate  dehydrog- 


FISHERY  BULLETIN:  VOL.  86.  NO.  4,  1988. 


835 


enase  (alpha  glycerol  phosphate).  This  locus  has  been 
used  to  identify  adults  of  the  genus  Thunnus  in  the 
absence  of  complete  morphological  data  (Dotson  and 
Graves  1984).  This  paper  describes  an  application 
of  the  above  techniques,  modified  for  work  with 
small  tissue  samples,  to  the  identification  of  an  op- 
portunistic collection  of  early  juvenile  tuna,  in  ex- 
cellent morphological  condition,  which  were  frozen 
shortly  after  capture.  The  early  juveniles  in  this  col- 
lection encompassed  the  pigmentation  patterns 
reported  for  both  T.  albacares  and  T.  obesus. 

Specimens  were  collected  aboard  the  MV  Royal 
Polaris,  a  San  Diego-based  sportfishing  boat,  about 
1  km  off  Clipperton  Island  in  the  eastern  Pacific  (lat. 
10°23'N,  long.  109°15'W),  8  May  1986,  from  hours 
of  2100  to  2400.  The  early  juveniles  were  caught 
underneath  floodlights  at  a  depth  of  about  1  m  with 
a  fine  (1  mm)  mesh,  long-handled  dip  net.  They  were 
not  present  at  the  surface.  After  each  pass,  the  dip 
net  contents  were  sorted  for  scombrid  larvae.  Ap- 
proximately 100  specimens  were  collected,  most  of 
which  were  quickly  frozen  in  seawater. 

Adult  specimens  of  T.  albacares  and  T.  obesus 
were  collected  by  hook  and  line  off  the  Pacific  coast 
of  southern  and  northern  Baja  California,  Mexico, 
respectively.  White  muscle  tissue  samples  were 
removed  from  freshly  caught  specimens  and  quick- 
ly frozen. 

The  early  juveniles  collected  off  Clipperton  Island 
were  thawed  in  the  laboratory  and  examined  under 
a  dissecting  microscope.  Those  juveniles  positively 
identified  to  the  morphologically  indistinguishable 
T.  albacares/T.  obesus  complex  were  measured  for 
total  length  (TL)  to  the  nearest  millimeter  and  ex- 
amined for  postanal  ventral  pigmentation  pattern. 
Heads  were  removed  and  placed  in  95%  ethanol  for 
otolith  studies.  The  remaining  trunk  and  tail  mus- 
culature was  placed  in  a  small  (1.0  mL)  microfuge 
tube,  and  60  /iL  of  cold  grinding  buffer  (0.1  M  Tris, 
pH  7.5)  was  quickly  added.  Tissues  were  homog- 
enized with  a  cold  ground-glass  rod  contoured  to  fit 
snugly  within  the  microfuge  tube.  Approximately 
10  seconds  of  rod  rotation  were  required  to  com- 
pletely disrupt  the  tissues.  The  homogenate  was  cen- 
trifuged  for  2  minutes  in  a  microfuge  and  stored  on 
ice  until  electrophoresis. 

Two  grams  of  adult  tissue  were  disrupted  for  ap- 
proximately 20  seconds  in  4  volumes  of  cold  grind- 
ing buffer  in  a  motor-driven,  ground-glass  tissue 
homogenizer.  The  homogenate  was  centrifuged  at 
5,000  g,  4°C,  for  10  minutes.  The  supernatant  was 
removed,  diluted  10:1  with  cold  grinding  buffer,  and 
stored  on  ice  until  electrophoresis. 


Horizontal  starch  gel  electrophoresis  was  per- 
formed on  12%  (W/V)  gels  run  in  the  Tris/Citrate 
II  system  of  Selander  et  al.  (1971).  Gels  were  run 
at  45  to  50  mA  for  3.5  hours.  Glycerol-3-phosphate 
dehydrogenase  was  stained  using  the  protocol  of 
Shaw  and  Prasad  (1970).  Three  sets  of  standards 
composed  of  the  supernatants  of  muscle  tissue 
homogenates  of  adult  yellowfin  and  bigeye  tuna 
were  placed  in  each  gel  to  score  the  early  juveniles. 

A  total  of  77  early  juveniles,  ranging  in  length 
from  10  to  21  mm  TL,  were  processed.  Glycerol-3- 
phosphate  dehydrogenase  activity  was  scored  for  68 
individuals.  All  early  juveniles  displayed  a  muscle- 
tjrpe  glycerol-3-phosphate  dehydrogenase  band  of 
low  anodal  mobility,  identical  to  that  of  the  yellow- 
fin  tuna  adults  (Fig.  1).  No  individuals  with  the 
faster  migrating  T.  obesus  glycerol-3-phosphate 
dehydrogenase  band  were  detected. 

The  lack  of  bigeye  tuna  juveniles  in  this  study 
could  be  the  result  of  two  possibilities:  either  the 
early  juveniles  were  all  yellowfin  tuna  or  both 
yellowfin  and  bigeye  tuna  early  juveniles  share  a 
muscle-type  glycerol-3-phosphate  dehydrogenase 
isozyme  of  similar  electrophoretic  mobility.  How- 
ever, differential  ontogenetic  expression  of  electro- 
phoretically  distinct  isozymes  has  not  been  reported 
for  fishes  in  studies  that  have  used  adult  allozymes 
to  identify  larvae  or  early  juveniles  (Morgan  1975; 
Smith  and  Crossland  1977;  Sidell  et  al.  1978;  Smith 
and  Benson  1980)  or  in  investigations  of  ontogene- 
tic expression  of  electrophoretic  loci  (Shaklee  et 
al.  1974;  Siebenaller  1984).  Thus,  the  electropho- 
retic similarity  of  the  glyceraldehyde-3-phosphate 
alleles  of  the  early  juveniles  investigated  in  this 
study  most  likely  indicates  that  they  were  all  yellow- 
fin tuna. 

On  the  same  trip  during  which  the  early  juveniles 
were  collected  at  Clipperton  Island,  about  300  adult 
yellowfin  tuna  were  caught  on  hook  and  line  but  no 
bigeye  tuna  were  taken.  Histological  examination 
of  ovarian  tissue  from  several  of  the  adult  yellow- 
fin tuna  revealed  postovulatory  follicles,  indicating 
that  spawning  was  taking  place  (Anonymous  1987). 
On  the  basis  of  this  information,  it  is  not  unexpected 
that  all  the  early  juveniles  identified  electrophoret- 
ically  in  this  study  proved  to  be  T.  albacares. 

A  wide  range  of  postanal  ventral  pigmentation 
patterns  (red  and  black)  was  displayed  by  the  early 
juveniles.  Since  these  specimens  were  collected  at 
night,  the  pigment  cells,  when  present,  were  distinct 
and  brightly  colored  as  reported  by  Matsumoto  et 
al.  (1972).  While  some  individuals  had  no  melano- 
phores  in  this  region,  others  had  from  one  to  eight. 


836 


• 


1 


8 


10       11       12       13       14 


Figure  1.— Photograph  (A)  and  line  drawing  (B)  of  a  gel  demonstrating  electrophoretic  mobilities  of  muscle-tj-pe  glycerol-3-phosphate 
dehydrogenase  alleles  of  yellowfin  and  bigeye  tuna.  Bigeye  tuna  display  an  allele  with  a  greater  anodal  mobility.  The  gel  includes 
adult  bigeye  (lanes  1  and  13)  and  yellowfin  (lanes  2  and  14)  tuna  standards  and  7  early  juveniles,  all  identified  as  yellowfin  tuna. 
Note  that  three  individuals  (lanes  4,  9,  and  11)  did  not  have  sufficient  activity  to  stain. 


According  to  Matsumoto  et  al.  (1972)  and  Nishikawa 
and  Rimmer  (1987),  yellowfin  larvae  less  than  about 
12  mm  SL  have  no  black  pigment  spots  in  the  ven- 
tral tail  region.  However,  Mori  et  al.  (1971)  reported 
and  illustrated  that  there  is  black  pigmentation  on 
the  ventral  edges  of  the  tail  in  laboratory-reared 
yellowfin  larvae  at  7.8  mm  TL.  Twenty-one  in- 
dividuals in  the  10  to  12  mm  TL  size  range  were  elec- 
trophoretically  typed  as  yellowfin  tuna  in  this  study. 
Six  of  these  early  juveniles  had  black  postanal  ven- 
tral pigmentation  (characteristic  of  bigeye  tuna), 
while  15  had  no  black  postanal  ventral  pigmenta- 
tion (characteristic  of  yellowfin  tuna). 

Variability  in  larval  and  early  juvenile  pigmenta- 
tion within  species,  including  large  changes  in  pig- 
mentation over  small  size  ranges,  is  found  within 


many  marine  fishes  (Powles  and  Markle  1984). 
Richards  and  Pothoff  (1974)  have  suggested  that  the 
variability  of  postanal  ventral  pigmentation  is  not 
consistent  with  specific  differentiation  within  the  T. 
albacares/T.  obesus  complex.  This  study  supports 
their  claim. 

Early  life  history  studies  are  necessary  for  an 
understanding  of  recruitment  within  each  species 
of  tuna.  Due  to  the  morphological  similarity  of 
yellowfin  and  bigeye  tuna  larvae  and  early  juveniles, 
specific  separation  has  not  been  possible.  This  study 
provides  a  simple  method  for  identifying  yellowfin 
and  bigeye  tuna  larvae  and  early  juveniles.  With  this 
technique  and  additional  material,  it  may  be  possi- 
ble to  find  a  morphological  character  that  will  allow 
rapid  identification  of  these  two  species. 


837 


Acknowledgments 

We  would  like  to  thank  the  owner,  Frank 
LoPreste,  and  skipper,  Steve  Loomis,  as  well  as  the 
crew  of  the  MV  Royal  Polaris  for  providing  the  op- 
portunity to  collect  specimens.  William  H.  Bayliff 
and  Witold  L.  Klawe  reviewed  the  manuscript. 


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Morgan,  R.  P. 

1975.    Distinguishing  larval  white  perch  and  striped  bass  by 
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1971.    The  development  of  artifically  fertilized  and  reared  lar- 
vae of  the  yellowfin  tuna,  Thunnus  albacares.    Bull.  Far 
Seas  Fish.  Res.  Lab.  (Shimizu)  5:219-232. 
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1987.    Identification  of  larval  tunas,  billfishes  and  other  scom- 
broid fishes  (suborder  Scombroidei):  an  illustrated  guide. 
Aust.  CSIRO  Mar.  Lab.  Rep.  186:1-20. 
Potthoff,  T. 

1974.    Osteological  development  and  variation  in  young  tunas, 
genus  Thunnus  (Pisces,  Scombridae),  from  the  Atlantic 
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Powles,  H.,  and  D.  E.  Markle. 

1984.    Identification  of  larvae.    In  H.  G.  Moser  et  al.  (editors), 
Ontogeny  and  systematics  of  fishes,  p.  31-33.    Am.  Soc. 
Ichthyol.  Herpetol.,  Spec.  Publ.  No.  1. 
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1974.    Analysis  of  the  taxonomic  characters  of  young  scom- 
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early  life  history  of  fish,  p.  623-648.    Springer-Verlag, 
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J.  B.  Gentry. 
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nus Peromyscus.  I.  Variation  in  the  old-field  mouse  (Pero- 
ynyscus  polionotus).    Univ.  Texas  Publ.  7103:49-90. 
Shaklee,  J.  B.,  M.  J.  Champion,  and  G.  S.  Whitt. 

1974.  Developmental  genetics  of  teleosts:  biochemical  anal- 
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Sharp,  G.  D.,  and  S.  W.  Pirages. 

1978.  The  distribution  of  red  and  white  swimming  muscles, 
their  biochemistry,  and  the  biochemical  phylogeny  of  selected 
scombrid  fishes.  In  G.  D.  Sharp  and  A.  E.  Dizon  (editors). 
The  physiological  ecology  of  tunas,  p.  41-78.  Academic 
Press,  N.Y. 
Shaw,  C.  R.,  and  R.  Prasad. 

1970.    Starch  gel  electrophoresis  of  enzymes— a  compilation 
of  recipes.    Biochem.  Genet.  4:297-320. 
SiDELL,  B.  D.,  R.  G.  Otto,  and  D.  A.  Powers. 

1978.    A  biochemical  method  for  distinction  of  striped  bass 
and  white  perch  larvae.    Copeia  1978:340-343. 
Siebenaller,  J.  F. 

1984.    Analysis   of  the   biochemical   consequences   on   on- 
togenetic vertical  migration  in  a  deep-living  teleost  fish. 
Physiol.  Zool.  57:598-608. 
Smith.  P.  J.,  and  P.  G.  Benson. 

1980.    Electrophoretic  identification  of  larval  and  0-group 
flounders  {Rhombosolea  spp.)  from  Wellington  Harbour,  N.Z. 
J.  Mar.  Freshwater  Res.  14:401-404. 
Smith,  P.  J.,  and  J.  Crossland. 

1977.  Identification  of  larvae  of  snapper,  Chrysophrys 
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John  E.  Graves 
Marie  A.  Simovich 


Department  of  Biology. 

University  of  San  Diego 
Alcala  Park. 
San  Diego,  CA  92110 


Kurt  M.  Schaefer 


Inter- American  Tropical  Tuna  Commission 
do  Scripps  Institution  of  Oceanography 
La  Jolla,  CA  92093 


A  COMPARISON  OF  DEMERSAL  ZOOPLANKTON 

COLLECTED  AT  ALLIGATOR  REEF,  FLORIDA, 

USING  EMERGENCE  AND  REENTRY  TRAPS 

Demersal  zooplankton  have  been  shown  to  be  im- 
portant components  of  a  number  of  marine  com- 
munities, including  coral  reefs  (Porter  and  Porter 
1977;  Alldredge  and  King  1977),  kelp  beds  (Ham- 
mer 1981),  and  other  habitats  (Thomas  and  Jelley 
1972).  They  probably  play  an  important  role  in  the 
flux  of  particulate  material  through  benthic  com- 
munities (Porter  and  Porter  1977).  Demersal  zoo- 
plankton  can  also  be  important  prey  for  fish  and 
other  consumers  (Alldredge  and  King  1977,  1980). 
Demersal  zooplankton  are  usually  sampled  by 
techniques  that  take  advantage  of  their  migration 
into  or  out  of  the  plankton.  Studies  by  Alldredge  and 
King  (1980,  1985)  and  Youngbluth  (1982)  suggest 


838 


FISHERY  BULLETIN:  VOL.  86,  NO.  4.  1988. 


that  sampling  methods  used  to  collect  demersal 
zooplankton  can  have  a  significant  effect  on  the 
numbers  and  kinds  of  animals  collected.  The  most 
widely  used  method  to  date  is  emergence  trapping, 
in  which  zooplankton  are  collected  as  they  migrate 
out  of  the  substrate,  e.g..  Porter  and  Porter  (1977). 
Another  method,  reentry  trapping,  captures  zoo- 
plankton as  they  enter  the  substrate,  e.g.,  Alldredge 
and  King  (1980).  A  primary  purpose  of  this  study 
was  to  compare  results  from  simultaneous  emer- 
gence and  reentry  trapping,  and  verify  Alldredge 
and  King's  (1980)  finding  that  reentry  traps  capture 
significantly  more  zooplankton  than  emergence 
traps. 

Horizontal  currents  are  likely  to  have  major  but 
variable  effects  on  the  transport  of  demersal  organ- 
isms in  the  plankton.  Organisms  migrating  high  into 
the  water  column  are  likely  to  be  transported  lateral- 
ly to  a  greater  extent  than  those  that  remain  in  the 
near-bottom  layer,  as  Alldredge  and  King  (1985) 
have  suggested.  Thus,  the  implicit  assumption  of 
some  other  investigators  that  demersal  zooplankton 
are  characteristic  residents  of  a  habitat  needs 
qualification.  Horizontal  transport  of  migrating 
demersal  zooplankton  is  probably  an  important 
recruitment  mechanism  and  a  means  by  which 
planktivorous  fish  associated  with  reefs  and  other 
structures  are  supported.  Demersal  zooplankton 
have  been  shown  to  be  associated  with  sand  bottoms 
by  Alldredge  and  King  (1977, 1980),  so  sand  bottoms 
might  be  an  important  source  of  demersal  zooplank- 
ton for  reef  communities.  Therefore,  our  purpose 
in  this  study  was  also  to  assess  the  abundance  of 
demersal  zooplankton  on  sand  bottom  habitat.  The 
study  addressed  the  questions:  how  abundant  are 
different  taxa  of  demersal  zooplankton  associated 
with  sand  bottom  habitat?  Can  different  trapping 
techniques  distinguish  zooplankters  with  different 
propensities  for  horizontal  transport  by  currents? 
How  do  the  abundance  and  taxonomic  composition 
of  demersal  zooplankton  on  open  carbonate  sand 
compare  with  the  finding  of  others  studying  similar 
sand  bottoms? 

Materials  and  Methods 

Study  sites  were  located  approximately  1.8  km 
east  of  Alligator  Reef  Buoy,  ca.  7.5  km  southeast 
of  Upper  Matecumbe  Key  in  the  Florida  Keys  (lat. 
24°41.26'N,  long.  80°35.68'W).  The  sites  were  char- 
acterized by  a  sub  tidal,  carbonate  sand  bottom  that 
sloped  gently  from  depths  of  2-4  m  to  depths  of  over 
40  m.  Macrophages  occurred  sparsely  on  the  bottom 


(principally  Thalassia  sp.),  with  the  closest  coral 
structure  and  associated  fish  populations  several 
hundred  meters  downstream.  Currents  were  mini- 
mal (<0.05  m  s^')  and  flowed  to  the  northeast, 
parallel  to  the  axis  of  the  Gulf  Stream  just  offshore. 

Sampling  at  the  site  was  conducted  with  the  aid 
of  scuba,  supported  by  the  NOAA-National  Under- 
sea Research  Program's  RV  Seahawk,  which  op- 
erated in  the  Florida  Keys  region  during  March 
1985. 

Demersal  zooplankton  were  sampled  simulta- 
neously by  emergence  trapping  and  reentry  trap- 
ping. The  emergence  traps  were  a  simplified  ver- 
sion of  those  used  by  Hobson  and  Chess  (1979), 
consisting  of  a  single  cone  of  95  f^m  mesh  netting 
1  m  high  and  21  cm  diameter  at  the  mouth  (Fig.  1). 
The  mouth  of  the  net  was  weighted  with  lead 
weights  sewn  into  the  mouth  collar  to  aid  placement 
on  the  bottom.  AIL  polyethylene  bottle  with  a 
polyethylene  funnel  in  the  throat  was  attached  to 
the  upper  end  of  the  net;  the  bottles'  natural  buoy- 
ancy extended  the  traps.  Reentry  traps  were  square 
polyethylene  pans,  21  cm  per  side  and  5  cm  deep, 
with  removable  snap-top  lids,  approximately  one- 
third  filled  with  defaunated  local  sand. 

Divers  deployed  six  of  each  type  of  trap  in  adja- 
cent groups  just  after  dusk  and  retrieved  them  just 
after  dawn  on  two  successive  nights  in  March  1985. 
Reentry  traps  were  closed  and  trap  bottles  from 
emergence  traps  capped  by  divers  before  return  to 
the  surface.  The  moon  was  nearly  new  and  rose  late 
each  night,  thus  providing  little  illumination.  The 
first  night's  collections  were  made  for  12.75  hours 
at  a  depth  of  7  m  and  the  second  night's  for  11.5 
hours  at  a  depth  of  20  m. 

Animals  in  the  collection  bottles  of  the  emergence 
traps  were  concentrated  on  a  95  ^m  mesh  sieve, 
washed  into  sample  bottles,  and  fixed  in  a  buffered 
formalin-Rose  Bengal  solution  (ca.  5%  formalin  final 
strength).  Animals  that  had  entered  the  reentry 
traps  were  washed  from  the  sand  with  fresh  water, 
causing  them  to  release  their  grasp  on  sand  grains 
(R.  Higgins^).  The  contents  of  each  trap  were 
washed  at  least  5  times,  and  until  no  further  animals 
could  be  seen  in  the  wash  water.  All  washings  were 
sieved  through  a  95  /im  mesh  sieve.  The  retained 
material  was  then  poured  into  sample  bottles  and 
fixed  as  above. 

The  stained,  fixed  animals  in  each  sample  were 
examined,  identified,  and  counted  with  a  stereo- 
microscope.  Identifications  were  made  to  genus  and 


'R.  Higgins,  Smithsonian  Institution,  Washington,  DC  20560. 

839 


Emergence   Trap 


95  urn 
mesh 


sail  cloth 


20.5cm 


Figure  1.— Diagram  of  emergence  trap  used  in  this  study. 


species  when  possible;  numbers  of  major  taxa  and 
groups  are  presented  here  for  simpHcity  and  com- 
parative purposes. 

Results 

The  zooplankton  caught  in  the  traps  at  Alhgator 
Reef  were  dominated  by  copepods.  Other  taxa  and 
categories  that  were  collected  included  chaeto- 
gnaths,  nematodes,  ostracods,  polychaetes,  cuma- 
ceans,  isopods,  amphipods,  and  mysids,  as  well  as 
numerous  others  that  were  less  common  or  fre- 
quently caught  (Table  1).  Many  of  these  groups,  such 
as  the  harpacticoid  copepods,  are  well  known  as  ben- 
thic  or  near-bottom  forms.  Others,  such  as  the 
calanoid  copepods,  are  known  as  primarily  plank- 
tonic  animals  that  are  sometimes  observed  close  to 
the  bottom  or  other  substrate.  Many  larval  forms 
of  benthic  macroinvertebrates  were  captured,  espe- 
cially settling  stages,  such  as  barnacle  cyprids  and 
megalopae. 


Comparisons  of  the  total  mean  numbers  of  animals 
caught  by  each  trap  type  and  at  each  location  show 
that  approximately  4  times  as  many  animals  were 
caught  by  reentry  traps  as  by  emergence  traps  and 
that  about  twice  as  many  animals  were  captured  at 
the  7  m  site  as  at  the  20  m  site  (Table  1).  Twelve 
common  groups  together  accounted  for  97.9%  of 
all  the  animals  caught.  The  results  of  two-way 
ANOVAs  showed  that  reentry  traps  captured  sig- 
nificantly more  harpacticoid  and  cyclopoid  copepods, 
ostracods,  mysids,  polychaetes,  and  nematodes  than 
emergence  traps,  while  the  emergence  traps  cap- 
tured significantly  more  calanoid  copepods  and 
isopods  (Table  2).  Significantly  more  cumaceans, 
gammarid  amphipods,  polychaetes,  and  nematodes 
were  captured  at  the  20  m  site  than  at  the  7  m  site, 
while  significantly  more  calanoid  copepods  and  chae- 
tognaths  were  captured  at  the  shallower  location 
(Table  2).  The  two-way  ANOVAs  showed  significant 
interaction  effects  between  the  trap  types  and  sam- 
pling locations  on  the  numbers  of  harpacticoid  and 


840 


Table  1  .—Demersal  zooplankton  captured  in  reentry  and  emergence  traps  at  sand  bottom  sites 
(7  m  and  20  m)  near  Alligator  Reef,  Florida  in  March  1985.  Data  are  mean  numbers  of  animals 


m 


(SE). 


Emergence 

Reentrv 

r 

Group 

7i 

m 

20  m 

7  m 

20nfi 

Harpacticoids^ 

754  (188) 

3,040  (726) 

16,108  (2,289) 

8,866  (845) 

Cyclopoids' 

2,039 

(508) 

740  (165) 

5,943  (1,071) 

3,713  (478) 

Nematodes' 

11 

(11) 

13(9) 

8,840  (1,241) 

823  (121) 

Calanoids' 

2,023 

(421) 

359  (128) 

231  (80) 

574  (209) 

Copepod  nauplii' 

830 

(248) 

338  (99) 

130  (53) 

515  (121) 

Ostracods' 

51 

(14) 

35  (15) 

498  (93) 

360  (80) 

Chaetognaths' 

289 

(47) 

17(8) 

357  (70) 

126  (65) 

Halacarids 

4 

(4) 

0 

538  (160 

0 

Polychaetes' 

29 

(27) 

69  (42) 

94  (39) 

314  (56) 

Caprellid  amphipods 

0 

1 1 7  (38) 

4(4) 

170  (18) 

Gammarid  amphipods' 

11 

(5) 

100  (49) 

54  (19) 

119  (32) 

Cumaceans' 

14 

(5) 

74  (51) 

58  (23) 

101  (18) 

Mysids' 

7 

(5) 

39  (8) 

72  (27) 

43  (18) 

Larvaceans 

112  (87) 

0 

29  (29) 

11  (11) 

Isopods' 

62 

(15) 

35(11) 

7(7) 

33  (9) 

Lancelets 

0 

0 

14(7) 

69  (9) 

Pycnogonids 

4 

(4) 

39  (34) 

0 

0 

Tanaids 

0 

36  (11) 

0 

0 

Cyphonautes 

0 

0 

0 

29  (13) 

Penaeids 

0 

9(5) 

0 

18(7) 

Chiton  larvae 

0 

0 

11  (7) 

7(5) 

Pagurid  crabs 

0 

4(4) 

7(5) 

4(4) 

Cyprids 

0 

0 

11  (7) 

0 

Hippid  crabs 

0 

0 

0 

7(5) 

Magelona  polychaetes 

0 

4(4) 

0 

0 

Fish  larvae 

0 

4(4) 

0 

0 

Brachyuran  crabs 

0 

4(4) 

0 

0 

Totals 

6,240 

5,076 

33,006 

15,902 

Trap  totals 

11,316 

48,908 

Site  totals:    7  m: 

39,250 

20  m: 

20,978 

Grand  total 

60,228 

"common"  groups  caught  by  both  traps  at  both  sites. 


Table  2.— Results  of  2-way  ANOVAs  comparing  effects  of  sampling  location  and  trap  type  on  numbers  of  animals 
caught  from  12  common  groups.  Data  are  mean/m^  and  F  value  for  associated  comparisons  for  each  category; 
significantly  higher  means  are  underlined.  For  all  comparisons  df  =  1,  19. 


Location 

Trap 

Interaction 

Group 

7  m 

20  m 

F 

Emergence 

Reentry 

F 

F 

Harpacticoids 

8,431 

6,218 

2.81 

1,793 

12,487 

65.57** 

14.33** 

Cyclopoids 

3,991 

2,361 

4.14 

1,449 

4,828 

17.83** 

1.17 

Nematodes 

4,426 

454 

36.80** 

12 

4,842 

54.20** 

41.70** 

Calanoids 

1,127 

476 

6.45** 

1,267 

402 

11.39** 

14.53** 

Copepod  nauplii 

480 

427 

3.12 

606 

305 

3.33 

4.00 

Ostracods 

274 

207 

1.00 

43 

424 

36.30** 

1.75 

Chaetognaths 

323 

77 

19.51** 

165 

242 

1.88 

1.00 

Polychaetes 

61 

203 

12.07** 

47 

204 

14.82** 

3.69 

Gammarid  amphipods 

32 

110 

7.26* 

51 

87 

1.00 

1.00 

Cumaceans 

36 

89 

4.41* 

41 

79 

2.32 

2.97 

Mysids 

40 

41 

1.00 

22 

58 

4.92* 

3.45 

Isopods 

34 

33 

1.00 

49 

20 

6.94* 

5.41* 

=  P  <  0.05, 


P  <  0  01 


841 


calanoid  copepods,  isopods,  and  nematodes  caught 
(Table  2),  indicating  that  the  capture  rates  of  the 
two  trap  types  varied  between  locations.  Differences 
in  the  types  and  numbers  of  animals  caught  by  each 
trap  are  more  important,  however. 

Reentry  traps  were  much  more  effective  than 
emergence  traps  at  capturing  a  greater  variety  of 
animals.  The  most  striking  differences  are  the  much 
larger  numbers  of  harpacticoid  and  cyclopoid  cope- 
pods  captured  in  reentry  traps.  In  addition  to  quan- 
titative differences  the  reentry  traps  also  caught  in- 
dividuals of  six  groups  that  were  not  found  in  the 
emergence  traps  (Table  1).  The  six  groups  included 
the  lancelets  and  five  types  of  demersal  larvae. 

Conversely,  emergence  traps  were  more  effective 
at  capturing  calanoid  copepods  and  isopods.  Speci- 
mens of  five  other  taxa  were  captured  only  in 
emergence  traps  (Table  1). 

Analysis  of  the  capture  rate  of  each  common 
group  by  the  two  trap  types  shows  significantly  dif- 
ferent assemblages  (x"  =  881068,  df  =  11,  P  « 
0.001)  (Fig.  2a).  Furthermore,  each  trap  type  caught 
some  relatively  rare  groups,  meaning  that  the  lower 
capture  rate  of  the  emergence  traps  did  not  prevent 
them  from  capturing  groups  that  did  not  appear  in 
the  reentry  traps.  Analysis  of  the  capture  frequen- 
cies of  these  rarer  groups  shows  that  the  two  trap 
types  capture  different  assemblages  of  organisms 
(x^  =  25806,  df  =  9,  P  «  0.001)  (Fig.  2b).  There- 
fore, the  reentry  and  emergence  traps  sampled  dif- 
ferent fauna  or  sampled  the  same  fauna  differently. 

Discussion 

Varying  migration  patterns  and  swimming  be- 
haviors by  the  various  taxa  and  groups  can  explain 
the  differences  between  the  assemblages  caught  by 
the  two  trap  types.  Ascending  animals  would  have 
to  move  1  m  off  the  bottom  in  order  to  be  captured 
by  the  emergence  traps.  Descending  animals  would 
not  have  been  captured  at  all  by  the  emergence 
traps,  but  would  only  have  needed  to  be  a  few  cm 
off  the  bottom  to  enter  the  reentry  traps.  Thus, 
reentry  traps  are  more  likely  to  capture  demersal 
organisms  during  their  migration  than  emergence 
traps  if  many  of  these  organisms  never  move  very 
far  up  into  the  water  column,  as  Alldredge  and  King 
(1985)  have  shown.  Reentry  traps  also  captured  set- 
tling larvae,  which  presumably  are  migrating  in  only 
one  direction  prior  to  establishing  a  sessile  mode  of 
life.  Such  larval  forms  were  a  small  fraction  of  the 
total  numbers  of  animals  caught,  but  could  be  a  sig- 
nificant portion  of  the  reentering  fauna  at  times. 


Both  trap  types  may  have  also  captured  some  ani- 
mals that  are  holoplanktonic  as  noted  by  Robichaux 
et  al.  (1981),  despite  our  efforts  to  prevent  this 
during  deployment  and  recovery  of  the  traps.  Some 
animals  may  have  entered  the  traps  by  crawling 
rather  than  from  the  plankton,  as  Scheibel  (1974) 
observed.  Finally,  placement  of  the  traps  after  dusk 
may  have  missed  animals  migrating  at  or  before 
dusk,  but  the  errors  caused  by  this  artifact,  as  well 
as  errors  due  to  incomplete  recovery  of  animals,  are 
not  likely  to  alter  our  results  significantly. 

Another  possible  explanation  for  at  least  some  of 
the  differences  between  capture  rates  of  the  two 
trap  types  is  differential  avoidance  of  one  trap  type, 
in  this  case  the  emergence  traps.  Given  that  emer- 
gence traps  consist  of  materials  quite  unlike  those 
that  demersal  zooplankton  would  normally  en- 
counter it  should  not  be  surprising  that  they  might 
seek  to  avoid  contact  with  them.  The  narrow  fun- 
nel placed  in  the  mouth  of  the  collection  bottles, 
while  necessary  to  retain  animals  that  have  entered 
the  bottle,  may  exclude  others  altogether.  Some 
demersal  zooplankton,  such  as  calanoid  copepods, 
are  well  known  to  exhibit  an  escape  response  when 
placed  in  contact  with  surfaces.  Reentry  traps,  on 
the  other  hand,  work  partly  by  replicating  natural 
sand  substrate,  reducing  the  potential  for  avoidance. 

The  results  show  clearly  that  different  sampling 
techniques  yield  variable  numbers  of  animals,  even 
within  the  same  taxon,  and  collect  different  groups 
of  animals.  Thus,  evaluation  of  the  demersal  zoo- 
plankton depends  strongly  on  sampling  techniques. 
Adoption  of  a  single  standard  sampling  technique 
might  appear  to  be  a  resolution  of  the  problem,  but 
a  standard  approach  should  sample  all  the  organ- 
isms that  exhibit  demersal  behavior  in  a  given  area, 
and  neither  emergence  trapping  nor  reentry  trap- 
ing  does.  Furthermore,  Stretch  (1985)  has  observed 
that  not  all  members  of  a  demersal  population 
migrate  each  night,  so  trapping  techniques  that 
depend  on  animal  migration  must  consistently 
underestimate  the  actual  abundance  of  demersal 
organisms  in  association  with  a  given  substrate. 
Tendency  to  migrate  may  vary  among  species, 
within  the  life  cycle  of  a  given  species  and  from  day 
to  day,  making  accurate  sampling  of  the  demersal 
zooplankton  by  trapping  a  logistical  impossibility. 
Collection  techniques  that  directly  sample  demer- 
sal organisms  in  or  on  the  substrate,  such  as  airlift 
sampling  (Stretch  1985)  or  sediment  coring  tech- 
niques commonly  used  to  sample  meiofauna,  should 
give  more  accurate  abundance  estimates,  but  must 
be  used  in  conjunction  with  one  or  more  trapping 


842 


O) 

« 

E 

to 

< 

■o 

0) 


Q. 
(0 

O 


50 


40 


30 


20 


10 


a 


d 


.z%^ 


<^%^' 


EL 


*^^       ^c>''       <^*        ^^*      ^^        ^- 


^  r^ri. 


j:^ 


-* 


M 
O 

Q. 

E 
o 

O 


•  -  none    captured 


^.-H. 


n 


•    •—  i-L 


x:k 


•„  • 


.^^' 


^>s 


.* 


,.»*      .s^^ 


T     T      •• 


.v<*^ 


<-'         -<>  \*  x^-'         rA"-         ><~        <>' 


O^        <i'0^ 


^<^ 


.«^' 


<ir 


Taxon/Group 


Figure  2.— Percentage  of  the  total  animals  caught  by  each  trap  type  by  taxon  or  group,  in  rank  order  of  total  abun- 
dance, pooled  over  sites;  a)  common  groups,  b)  rare  groups. 


843 


techniques  to  distinguish  migratory  from  nonmigra- 
tory  populations. 

Comparisons  of  demersal  zooplankton  abundances 
among  studies  are  also  made  difficult  by  variation 
among  the  trap  types  and  approaches  used.  All- 
dredge  and  King  (1980)  compared  reentry  and  emer- 
gence traps,  showing  as  we  have  that  reentry  traps 
captured  very  much  larger  numbers  and  different 
proportions  of  demersal  organisms.  Aside  from 
studies  by  Stretch  (1985)  and  ourselves  (unpubl. 
data),  we  are  unaware  of  any  effort  to  use  a  direct 
sampling  technique  to  calibrate  a  trapping  tech- 
nique. Thus,  published  abundance  estimates  for 
demersal  zooplankton  abundance  are  probably  low 
and  biased,  reflecting  the  preponderant  use  of 
emergence  trapping. 

Robichaux  et  al.  (1981)  pointed  out  that  animals 
entering  traps  by  crawling  can  be  a  significant 
artifact.  Such  contamination  would  probably  be  a 
greater  problem  for  reentry  traps  than  for  emer- 
gence traps.  Our  reentry  traps  captured  large 
numbers  of  nematodes  and  harpacticoid  copepods, 
which  can  enter  by  crawling,  but  even  when  they 
are  eliminated  altogether  from  the  trap  totals,  reen- 
try traps  still  caught  twice  as  many  animals  as 
emergence  traps  (Table  1).  Furthermore,  at  least 
some  nematodes  and  harpacticoids  do  swim  freely, 
even  if  they  do  not  move  very  far  up  into  the  water 
column,  as  Alldredge  and  King  (1985)  have  shown. 
Thus,  we  think  that  reentry  trapping  reliably  yields 
higher  estimates  of  demersal  zooplankton  abun- 
dance that  are  more  realistic  than  results  from 
emergence  trapping  but  probably  not  truly  accurate. 

Robichaux  et  al.  (1981)  also  argued  that  con- 
tamination of  demersal  zooplankton  traps  by  holo- 
planktonic  and  crawling  organisms  causes  an  over- 
estimate of  the  actual  importance  of  demersal 
zooplankton  in  benthic  food  webs.  We  dispute  this 
view  on  several  grounds.  First,  the  emergence  trap- 
ping technique  used  by  Robichaux  et  al.  (1981),  as 
is  the  case  with  others'  use  of  emergence  trapping, 
probably  yielded  significant  underestimates  of  the 
actual  abundance  of  demersal  zooplankton,  as  we 
discuss  above.  Second,  we  suspect  that  all  trapping- 
techniques  are  likely  to  miss  animals  that  are  not 
migrating  actively  or  that  avoid  traps,  causing  fur- 
ther population  underestimates.  Finally,  estimates 
of  demersal  zooplankton  populations  resident  within 
a  given  habitat  may  fail  to  reflect  the  actual  avail- 
ability of  these  animals  as  consumers  or  prey  via 
transport. 

Sand  bottom  habitats  may  be  important  sources 
of  demersal  zooplankton  for  consumers  in  other 


habitats.  Currents  can  carry  demersal  organisms 
passively  to  other  habitats.  Animals  that  migrate 
high  into  the  water  column,  such  as  the  groups  cap- 
tured especially  well  by  emergence  traps,  may  be 
carried  relatively  great  distances  compared  with 
those  that  crawl  or  stay  within  the  near-bottom 
boundary  layer.  Furthermore,  off-reef  foraging  by 
reef  dwellers  may  allow  exploitation  of  demersal 
organisms  on  sandy  bottoms  in  the  absence  of  advec- 
tion.  If  so,  estimates  of  demersal  zooplankton  abun- 
dance derived  from  reentry  trapping  will  again  be 
realistic,  if  not  accurate,  from  the  standpoint  of  com- 
munity ecology.  Therefore,  demersal  zooplankton 
are  potentially  quite  important  to  marine  benthic 
communities,  even  if  the  techniques  used  to  sample 
them  are  imperfect. 

Acknowledgments 

This  research  was  made  possible  with  support  pro- 
vided by  the  NOAA-National  Undersea  Research 
Program  at  the  University  of  North  Carolina, 
(UNC),  Wilmington,  to  Lawrence  B.  Cahoon  and  G. 
Simmons,  who  graciously  shared  shiptime.  Support 
was  also  provided  by  UNC  Sea  Grant  (R/MG  84-07 
and  R/MG  85-01),  the  National  Science  Foundation 
(RII 8311  486),  the  American  Philosophical  Society, 
the  Lerner-Grey  Fund  for  Marine  Research  and  the 
North  Carolina  Collegiate  Academy  of  Sciences. 

Literature  Cited 

Alldredge,  A.  L.,  and  J.  King. 

1977.  Distribution,  abundance,  and  substrate  preference  of 
demersal  reef  zooplankton  at  Lizard  Island  Lagoon,  Great 
Barrier  Reef.    Mar.  Biol.  (Berl.)  41:317-333. 

1980.  Effects  of  moonlight  on  the  vertical  migration  patterns 
of  demersal  zooplankton.  J.  exp.  mar.  Biol.  Ecol.  44:133- 
156. 

1985.    The  distance  demersal  zooplankton  migrate  above  the 
benthos:  implications  for  predation.    Mar.  Biol.  (Berl.)  84: 
253-260. 
Hammer,  R.  M. 

1981.  Day-night  differences  in  the  emergence  of  demersal 
zooplankton  from  a  sand  substrate  in  a  kelp  forest.  Mar. 
Biol.  (Berl.)  62:275-280. 

HoBSON,  E.  S.,  and  J.  R.  Chess. 

1979.    Zooplankters  that  emerge  from  the  lagoon  floor  at  Kure 
and  Midway  Atolls,  Hawaii.    Fish.  Bull.,  U.S.  77:275-280. 
Porter,  J.  W.,  and  K.  G.  Porter. 

1977.  Quantitative  sampling  of  demersal  zooplankton  migrat- 
ing from  different  reef  substrates.  Limnol.  Oceanogr.  22: 
553-556. 
Robichaux,  D.  M.,  A.  C.  Cohen,  M.  L.  Reaka,  and  D.  Allen. 
1981.  Experiments  with  zooplankton  on  coral  reefs,  or  will 
the  real  demersal  zooplankton  please  come  up?  P.S.Z.N.L 
Mar.  Ecol.  2:77-94. 


844 


SCHEIBEL,  W. 

1974.    Submarine  experiments  on  benthic  recolonization  of 
sediments  in  the  western  Baltic  Sea.  II.  Meiofauna.    Mar. 
Biol.  (Bed.)  28:165-168. 
Stretch,  J.  J. 

1985.    Quantitative  sampling  of  demersal  zooplankton:  re- 
entry and  airlift  dredge  sample  comparisons.    J.  exp.  mar. 
Biol."  Ecol.  91:125-136. 
Thomas,  M.  L.,  and  E.  Jelley. 

1972.  Benthos  trapped  leaving  the  bottom  in  Bideford  River, 
Prince  Edward  Island.  J.  Fish.  Res.  Board  Can.  29:1234- 
1237. 

YOUNGBLUTH,  M.  J. 

1982.  Sampling  demersal  zooplankton:  a  comparison  of  field 
collections  using  three  different  emergence  traps.  J.  exp. 
mar.  Biol.  Ecol.  61:111-124. 

Lawrence  B.  Gaboon 
Craig  R.  Tronzo 

Department  of  Biological  Sciences 
University  of  North  Carolina  at  Wilmington 
Wilmington.  NC  28403 


845 


INDEX 


Fishery  Bulletin:  Vol.  86,  No.  1-4 


ABLE,  KENNETH  W.-see  GRIMES  et  al. 

"Accumulation  of  age  pigments  (lipofuscin)  in  two  cold-water 
fishes,"  by  Maria  Vernet,  John  R.  Hunter,  and  Russell  D. 
Vetter,    401 

"Age  and  growth  of  larval  gulf  menhaden,  Brevoortia  patronus, 
in  the  northern  Gulf  of  Mexico,"  by  Stanley  M.  Warlen,    77 

"Age,  morphology,  developmental  biology,  and  biochemical  genetic 
variation  of  Yukon  River  fall  chum  salmon,  Oncorhynchus  keta, 
and  comparisons  with  British  Columbia  populations,"  by  Terry  D. 
Beacham,  Clyde  B.  Murray,  and  Ruth  E.  Withler,  663 

"Age-specific  vulnerability  of  Pacific  sardine,  Sardinops  sagax,  lar- 
vae to  predation  by  northern  anchovy,  Engraulis  mordax"  by  John 
L.  Butler  and  Darlene  Pickett,    163 

Ageing  studies 
lipofuscin  in  larval  fish,    401 
menhaden,  gulf,    77 
see  also  Otoliths 

Algae,  benthic 
recruitment  of  spiny  lobsters,    331 

Allocyttus  sp.— see  Oreo,  black 

Alosa  sapidissima—see  Shad,  American 

Alvinocaris  markensis 
new  decapod  crustacean  species,    263 

Alvinocaris  muricola 
new  decapod  crustacean  species,    263 

Alvinocaris  spp. 
key  to  species,    263 

Alvinocaris  stactophila 
new  decapod  crustacean  species,    263 

AL-YAMANI,  J.-see  DAGG  et  al. 

Amphipods 
shrimp  diets,    543 

"Analyses  of  the  relationship  between  the  distribution  of  searching 
effort,  tuna  catches,  and  dolphin  sightings  within  individual  purse 
seine  cruises,"  by  Tom  Polacheck,    351 

Anchovy,  northern 
predation  on  sardine  larvae,    163 

Anoplopoma  fimbria—see  Sablefish 

"Appendage  injury  in  Dungeness  crabs.  Cancer  magister,  in  south- 
eastern Alaska,"  by  Susan  M.  Shirley  and  Thomas  C.  Shirley,    156 


Apristurus  hrunneus—see  Shark,  scyliorhinid 

Armorhead,  pelagic 
biogeography,    453 

ARMSTRONG,  DAVID  A.-see  ROGERS  et  al. 

ARNOLD,  CONNIE  R.-see  BROWN-PETERSON  et  al. 

"Aspects  of  the  biology  of  two  scyliorhinid  sharks,  Apristurus 
brunneus  and  Parmaturus  xaniurus,  from  the  upper  continental 
slope  off  southern  California,"  by  Jeffrey  N.  Cross,    691 

Atheresthes  evermanni—see  Flounder,  kamchatka 

Atheresthes  stomias—see  Flounder,  arrowtooth 

Atlantic  croaker 
distribution  and  abundance,    129 

BAGLIVO,  JENNY  A.-see  BROUSSEAU  and  BAGLIVO 

Banded  drum 
distribution  and  abundance,    129 

BARLOW,  JAY,  "Harbor  porpoise,  Phocoena  phocoena,  abun- 
dance estimation  for  California,  Oregon,  and  Washington:  I.  Ship 
surveys,"    417 

BARLOW,  JAY,  CHARLES  W.  OLIVER,  TERRY  D.  JACKSON, 
and  BARBARA  L.  TAYLOR,  "Harbor  porpoise,  Phocoena  pho- 
coena, abundance  estimation  for  California,  Oregon,  and 
Washington:  II.  Aerial  surveys,"    433 

BARSHAW,  DLANA  E.,  and  DONALD  R.  BRYANT-RICH,  "A 
long-term  study  on  the  behavior  and  survival  of  early  juvenile 
American  lobster,  Homarus  americanus,  in  three  naturalistic  sub- 
strates: eelgrass,  mud,  and  rocks."    789 

Bass,  striped 
stomach  contents,    397 

BAYLIFF,  WILLIAM  H.,  "Integrity  of  schools  of  skipjack  tuna, 
Katsuwonus  pelamis,  in  the  eastern  Pacific  Ocean,  as  determined 
from  tagging  data,"  631 

BEACHAM,  TERRY  D.,  CLYDE  B.  MURRAY,  and  RUTH  E. 
WITHLER,  "Age,  morphology,  developmental  biology,  and 
biochemical  genetic  variation  of  Yukon  River  fall  chum  salmon, 
Oncorhynchus  keta,  and  comparisons  with  British  Columbia 
populations,"    663 

BECKER,  D.  SCOTT,  "Relationship  between  sediment  character 
and  sex  segregation  in  English  sole,  Parophrys  vetulus,"    517 

"Behavior  of  southern  right  whales,  EuJbalaena  australis,  feeding 

847 


feeding  on  the  Antarctic  krili,  Euphaiisia  superba,"  by  William 
M.  Hamner,  Gregory  S.  Stone,  and  Bryan  S.  Obst,     143 

Behavior  studies 
English  sole,    830 
lobster,  American,    791 
plankton,    842 

Biochemical  genetics— see  Genetic  studies 

Black  drum 
distribution  and  abundance,    129 
trotline  fishery,    109 

BLAYLOCK,  ROBERT  A.,  "Distribution  and  abundance  of 
bottlenose  dolphin,  Tursiops  truncatus  (Montagu,  1821),  in 
Virginia,"    797 

Bluefish 
spawning  season,    237 

BOEHLERT,  GEORGE  W.,  and  TAKASHI  SASAKI,  "Pelagic 
biogeography  of  the  armorhead,  Pseudopentaceros  wheeleri,  and 
recruitment  to  isolated  seamounts  in  the  North  Pacific  Ocean," 
453 

BOLZ,  GEORGE  R.,  and  R.  GREGORY  LOUGH,  "Growth 
through  the  first  six  months  of  Atlantic  cod,  Gadus  morhua,  and 
haddock,  Melanogrammus  aeglefinus,  based  on  daily  otolith 
increments,"    223 

Boonea  impressa—see  Snail,  pyramidellid 

Bootstrap  method 
sablefish  abundance,    445 

BOURKE,  ROBERT  E.-see  WATSON  et  al. 

Breeding  habits— see  Reproductive  studies 

Brevoortia  patronus—see  Menhaden,  gulf 

BRILL,  RICHARD  W.-see  WATSON  et  al. 

BROOKS,  E.  R.-see  MULLIN  and  BROOKS 

BROUSSEAU,  DIANE  J.,  and  JENNY  A.  BAGLIVO,  "Life 
tables  for  two  field  populations  of  soft-shell  clam,  Mya  arenaria, 
(Mollusca:  Pelecypoda)  from  Long  Island  Sound,"    567 

BROWN-PETERSON,  NANCY,  PETER  THOMAS,  and  CONNIE 
R.  ARNOLD,  "Reproductive  biology  of  the  spotted  seatrout, 
Cynoscion  nebulosus,  in  South  Texas,"    373 

BRUCE,  B.  D.,  "Larval  development  of  blue  grenadier, 
Macruromis  navaezelandiae  (Hector),  in  Tasmanian  waters,"    119 

BRYANT-RICH,  DONALD  R.-see  BARSHAW  and  BRYANT- 
RICH 

BUTLER,  JOHN  L.-see  WATANABE  et  al. 

BUTLER,  JOHN  L.,  and  DARLENE  PICKETT,  "Age-specific 
vulnerability  of  Pacific  sardine,  Sardinops  sagax,  larvae  to  preda- 
tion  by  northern  anchovy,  Engraulis  mordax,"    163 


BUTLER.  MARK  J.,  IV-see  HERRNKIND  et  al. 

Bythugraea  mesatlantica 
new  decapod  species,    263 


CAHOON,  LAWRENCE  B.,  and  CRAIG  R.  TRONZO,  "A  com- 
parison of  demersal  zooplankton  collected  at  Alligator  Reef, 
Florida,  using  emergence  and  reentry  traps,"    838 

CALLAHAN,  MICHAEL  W.-see  SEKI  and  CALLAHAN 

Cancer  magistei — see  Crab,  Dungeness 

Cancer  oregoneTisis—see  Crab,  Cancer 

Carbon  isotopes 
shrimp  diets,    543 

Caridea:  Bresilidae 
key  to  species,    263 

CASTRO,  MARGARIDA,  and  KARIM  ERZINI,  "Comparison  of 
two  length-frequency  based  packages  for  estimating  growth  and 
mortality  parameters  using  simulated  samples  with  varying 
recruitment  patterns,"    645 

Catsharks— see  Shark,  scyliorhinid 

Chacellus  filiformis 
bathymetric  and  geographic  distribution,    67 

Char,  Arctic 
predation  on  salmon,    611 

CHEN,  CHE-TSUNG,  TZYH-CHANG  LEU,  and  SHOOU-JENG 
JOUNG,  "Notes  on  reproduction  in  the  scalloped  hammerhead, 
Sphyma  lewini,  in  northeastern  Taiwan  waters,"    389 

CHESS,  JAMES  R.-see  HOBSON  and  CHESS 

Clam,  soft-shell 
life  tables,    567 

Cod,  Atlantic 
growth,    223 

"Cojoined  twin  adult  shrimp  (Decapoda:  Penaeidae),"  by  Austin 
B.  Williams,    595 

COLLINS,  MARK  R.,  and  CHARLES  A.  WENNER,  "Occurrence 
of  young-of-the-year  king,  Scomheromorus  cavalla,  and  Spanish, 
S.  maculatus,  mackerels  in  commercial-type  shrimp  trawls  along 
the  Atlantic  coast  of  the  southeast  United  States,"    394 

Cololabis  saira—see  Saury,  Pacific 

"A  comparison  of  demersal  zooplankton  collected  at  Alligator  Reef, 
Florida,  using  emergence  and  reentry  traps,"  by  Lawrence  B. 
Cahoon  and  Craig  R.  Tronzo,    838 

"Comparison  of  two  length-frequency  based  packages  for  esti- 
mating growth  and  mortality  parameters  using  simulated  samples 
with  varying  recruitment  patterns,"  by  Margarida  Castro  and 
Karim  Erzini,    645 


848 


"A  comprehensive  theory  on  the  etiology  of  burnt  tuna,"  by  Cheryl 
Watson,  Robert  E.  Bourke,  and  Richard  W.  Brill,    367 

CONOVER,  DAVID  O.-see  NYMAN  and  CONOVER 

Copepod  nauplii 
distribution  and  abundance,    319 

COSTON-CLEMENTS,  LINDA-see  HOSS  et  al. 

COUTU,  J.-M.-see  DUTIL  and  COUTU 

COWAN,  JAMES  H.,  JR.,  and  RICHARD  F.  SHAW,  "The 
distribution,  abundance,  and  transport  of  larval  sciaenids  collected 
during  winter  and  early  spring  from  the  continental  shelf  waters 
off  west  Louisiana,"     129 

Crab.  Cancer 
occurrence  off  British  Columbia,    525 

Crab,  Dungeness 
abundance,    603 
appendage  injury,     156 
dissolved  oxygen  levels,    604 
megalopae  associations,    299 

Crab,  Gulf  stone 
megalopa  stage,    289 

CRANE,  S.  A.-see  DAVIES  et  al. 

Crassostrea  gigas—see  Oyster,  Japanese 

Crassostrea  virginica—see  Oyster,  American 

CRECCO,  VICTOR  A.-see  SAVOY  and  CRECCO 

Croaker,  Atlantic 
metabolic  responses  to  temperatures,    483 

Croaker,  white 
food-seeking,    251 

CROSS,  JEFFREY  N.,  "Aspects  of  the  biology  of  two  scylio- 
rhinid  sharks,  Apristurus  hrunneus  and  Pannatu7~iis  xaniurus, 
from  the  upper  continental  slope  off  southern  California,"    691 

Crustacean,  decapod 
bathymetric  and  geographic  distribution,    67 

CURRENS,  KENNETH  P.,  CARL  B.  SCHRECK,  and  HIRAM 
M.  LI,  "Reexamination  of  the  use  of  otolith  nuclear  dimensions 
to  identify  juvenile  anadromous  and  nonanadromous  rainbow  trout, 
Salmo  gairdneri,"     160 

Cynoscion  arenarius—see  Seatrout,  sand 

Cynoscion  nebulosu^see  Seatrout,  spotted 

Cynoscion  regalis—see  Weakfish 


DAGG,  M.  J.,  P.  B.  ORTNER,  and  J.  AL-YAMANI,  "Winter-time 
distribution  and  abundance  of  copepod  nauplii  in  the  northern  Gulf 
of  Mexico,"    319 


DAVIES,  N.  M.,  R.  W.  GAULDIE,  S.  A.  CRANE,  and  R.  K. 
THOMPSON,  "Otolith  ultrastructure  of  smooth  oreo,  Psevdocyt- 
tus  macuiatus,  and  black  oreo,  Allocyttus  sp.,  species,"    499 

DEW,  C.  BRAXTON,  "Stomach  contents  of  commercially  caught 
Hudson  River  striped  bass,  Morone  saxatilis,  1973-1975,"    397 

Diet— see  Food  habits 

Disease  studies 
oysters,  American,    553 

Dissodactylus  juveniles 
bathymetric  and  geographic  distribution,    67 

Dissolved  oxygen  levels 
prawn  mortality,    601 

"The  distribution,  abundance,  and  transport  of  larval  sciaenids  col- 
lected during  winter  and  early  spring  from  the  continental  shelf 
waters  off  west  Louisiana,"  by  James  H.  Cowan,  Jr.  and  Richard 
F.  Shaw,    129 

"Distribution  and  abundance  of  bottlenose  dolphin,  Tursiops  trun- 
catus  (Montagu,  1821),  in  Virginia,"  by  Robert  A.  Blaylock,    797 

DITTY,  JAMES  G.,  GLEN  G.  ZIESKE,  and  RICHARD  F. 
SHAW,  "Seasonality  and  depth  distribution  of  larval  fishes  in  the 
northern  Gulf  of  Mexico  above  latitude  26°00'N,"    811 

DOERZBACHER,  JEFF  F.-see  McEACHRON  et  al. 

Dolly  Varden 
salmon  predation,    613 

Dolphin,  bottlenose 
population  studies,    797 

Dolphin,  spotted 
sightings  within  tuna,  purse  seine  cruises,    351 

DUTIL,  J-D.,  and  J.-M.  Coutu,  "Early  marine  life  of  Atlantic 
salmon,  Salmo  salar,  postsmolts  in  the  northern  Gulf  of  St. 
Lawrence,"    197 


Early  marine  life  of  Atlantic  salmon,  Salmo  salar.  postsmolts  in 
the  northern  Gulf  of  St.  Lawrence,"  by  J.-D.  Dutil  and  J.-M. 
Coutu,    197 

"An  econometric  analysis  of  net  investment  in  Gulf  shrimp  fishing 
vessels,"  by  John  B.  Penson,  Jr.,  Ernest  0.  Tetty,  and  Wade  L. 
Griffin,    151 

Economic  studies 
fishery  capital  stock  and  investment  approach,  339 
shrimp  fishing  vessels,    151 
tuna,  "burnt",    367 

"The  effect  of  the  ectoparasitic  pyramidellid  snail,  Boonea  im- 
pressa,  on  the  growth  and  health  of  oysters,  Crassostrea  virginica, 
under  field  conditions,"  by  Elizabeth  A.  Wilson,  Eric  N.  Powell, 
and  Sammy  M.  Ray,    553 

"The  effects  of  siltation  on  recruitment  of  spiny  lobsters, 
Panulirus  argus,"  by  William  F.  Herrnkind,  Mark  J.  Butler  IV, 
and  Richard  A.  Tankersley,  331 


849 


El  Nino 
ichthyoplankton  off  Chile,    1 

"Electrophoretic  identification  of  early  juvenile  yellowfin  tuna, 
Thunnus  albacares,"  by  John  E.  Graves,  Marie  A.  Simovich,  and 
Kurt  M.  Schaefer,  835 

ELSTON,  RALPH  A.-see  FARLEY  et  al. 

EMLEN,  JOHN  M.-see  McINTYRE  et  al. 

English  sole 
population  studies,    826 

Engraulis  mordax—see  Anchovy,  northern 

Environmental  studies 
ichthyoplankton  off  Chile,    1 
rockfish,  blue,    715 
see  also  Feeding  habitats;  Habitat  studies 

Enzymes 
tuna,  "burnt",    367 

EPIFANIO,  CHARLES  E.,  DAVID  GOSHORN,  and  TIMOTHY 
E.  TARGETT,  "Induction  of  spawning  in  the  weakfish,  Cynos- 
cion  regalis,"    168 

ERZINI,  KARIM-see  CASTRO  and  ERZINI 

"Estimation  of  natural  mortality  in  fish  stocks:  A  review,"  by  E.  F. 
Vetter,    25 

Estuarine  studies 
shrimp,  penaeid,    543 

Eubalaena  avstralis—see  Whales,  southern  right 

Euchirogra'psus  americanus 
bathymetric  and  geographic  distribution,    67 

Ewphausia  superba—see  Krill,  Antarctic 

"Evaluation  of  variability  in  sablefish,  Anoplopoma  fimbria,  abun- 
dance indices  in  the  Gulf  of  Alaska  using  the  bootstrap  method," 
by  Michael  F.  Sigler  and  Jeffrey  T.  Fujioka,    445 

"Experimental  manipulation  of  population  density  and  its  effects 
on  growth  and  mortality  of  juvenile  western  rock  lobsters, 
Panulirus  cygnus  George,"  by  Richard  F.  Ford,  Bruce  F.  Phillips, 
and  Lindsay  M.  Joil,    773 

"Extractable  lipofuscin  in  larval  marine  fish,"  by  M.  M.  Mullin  and 
E.  R.  Brooks,    407 


FARLEY,  C.  AUSTIN,  PETER  H.  WOLF,  and  RALPH  A. 
ELSTON,  "A  long-term  study  of  'microcell'  disease  in  oysters 
with  a  description  of  a  new  genus,  Mikrocytos  (g.  n.),  and  two  new 
species,  Mikrocytos  mackini  (sp.  n.)  and  Mikrocytos  roughleyi  (sp. 
n.),"    581 

"The  feeding  habits  of  two  deep  slope  snappers,  Pristipomoides 
zonatus  and  P.  auricilla,  at  Pathfinder  Reef,  Mariana  Archi- 
pelago," by  Michael  P.  Seki  and  Michael  W.  Callahan,    807 


Feed  habitats 
mesotide  areas,    703 
see  also  Food  habits 

"A  field  method  for  determining  prey  preferences  of  predators," 
by  N.  B.  Hargreaves,    763 

FELDER,  DARRYL  L.-see  MARTIN  et  al. 

FINN,  JAMES  E.-see  McINTYRE  et  al. 

Fish  habitats— see  Habitat  studies 

FISHER,  JOSEPH  P.-see  PEARCY  and  FISHER 

Fishery,  commercial 
capital  stock  and  investment  approach,    339 
flounder,  yellowtail,    91 
Hawaiian  handline,    367 
reducing  bycatch  using  trotline,     109 
tuna,    351,  367 

Fishes 
associations  with  crab  megalopae,    299 

Flatfish 
population  studies,    826 

Flounder,  arrowtooth 
morphological  comparison,    608 

Flounder,  gulf 
growth  studies,    832 

Flounder,  kamchatka 
morphological  comparison,    608 

Flounder,  yellowtail 
variation  in  CPUE,    91 

Food  habits 
bass,  striped,    397 
croaker,  white,    251 
rockfish,  blue,    717 
salmon.  Pacific,    213 
salmon  postsmolts,    197 
salmon  predation,    613 
shark,  scyliorhinid,    697 
shrimp,  penaeid,    543 
snapper,    807 
whales,  southern  right,    143 

"Food  habits  and  daily  ration  of  Greenland  halibut,  Reinhardtius 
hippoglossoides,  in  the  eastern  Bering  Sea,"  by  M.  S.  Yang  and 
P.  A.  Livingston,    675 

"Food  pathways  associated  with  penaeid  shrimps  in  a  mangrove- 
fringed  estuary,"  by  Allan  W.  Stoner  and  Roger  J.  Zimmerman, 
543 

FORD,  RICHARD  F.,  BRUCE  F.  PHILLIPS,  and  LINDSAY  M. 
JOLL,  "Experimental  manipulation  of  population  density  and  its 
effects  on  growth  and  mortality  of  juvenile  western  rock  lobsters, 
Panulirus  cygnus  George,"    773 

FUJIOKA,  JEFFREY  T.-see  SIGLER  and  FUJIOKA 


850 


"Functional  regression  equations  for  zooplankton  displacement 
volume,  wet  weight,  dry  weight,  and  carbon:  A  correction,"  by 
Peter  H.  Wiebe,    833 

"Further  support  for  the  hypothesis  that  internal  waves  can  cause 
shoreward  transport  of  larval  invertebrates  and  fish,"  by  Alan  L. 
Shanks,    703 


Gadus  morhua—see  Cod,  Atlantic 

GAULDIE,  R.  W.-see  DA  VIES  et  al. 

Gear,  trawls 
crab  sampling,    529 

Genetic  studies 
salmon,  chum,    665 

Genyonemus  lineatus—see  Croaker,  white 

Glycogen,  muscle 
spawning  of  sea  scallop,    597 

GOSHORN,  DAVID-see  EPIFANIO  et  al. 

GOULD.  EDITH,  DIANE  RUSANOWSKY,  and  DONNA  A. 
LUEDKE,  "Note  on  muscle  glycogen  as  an  indicator  of  spawn- 
ing potential  in  the  sea  scallop,  Placopecten  magellanicus,"    597 

GRAVES,  JOHN  E.,  MARIE  A.  SIMOVICH,  and  KURT  M. 
SCHAEFER,  "Electrophoretic  identification  of  early  juvenile 
yellowfin  tuna,  Thunnus  albacares,"    835 

GREEN,  ALBERT  W.-see  McEACHRON  et  al. 

Grenadier,  blue 
larval  development,     119 

GRIFFIN,  WADE  L.-see  PENSON  et  al. 

GRIMES,  CHURCHILL  B.,  CHARLES  F.  IDELBERGER,  KEN- 
NETH W.  ABLE,  and  STEPHEN  C.  TURNER,  "The  reproduc- 
tive biology  of  tilefish,  Lopholatilus  chamaeleontice-ps  Goode  and 
Bean,  from  the  United  States  Mid-Atlantic  Bight,  and  the  effects 
of  fishing  on  the  breeding  system,"    745 

"Growth  of  Pacific  saury,  Cololabis  saira,  in  the  northeastern  and 
northwestern  Pacific  Ocean,"  by  Yoshiro  Watanabe,  John  L. 
Butler,  and  Tsukasa  Mori,    489 

Growth  studies 
cod,  Atlantic,    223 
flounder,  gulf,    832 
haddock,    223 
lobster,  American,    789 
lobster,  spiny,    775 
menhaden,  gulf,    77 
saury.  Pacific,    489 
tropical  fish,    645 

"Growth  through  the  first  six  months  of  Atlantic  cod,  Gadus 
morhua,  and  haddock,  Melanogrammus  a^glefinus,  based  on  daily 
otolith  increments,"  by  George  R.  Bolz  and  R.  Gregory  Lough, 
223 


GUNDERSON,  DONALD  R.-see  ROGERS  et  al. 


Habitat  studies 
fishing  efffects,    746 
mesotide  areas,    703 
lobster,  American,    791 
rockfish,  blue,    719 

Haddock 
growth,    223 

Halibut,  Greenland 
food  habits,    675 

HAMNER,  WILLIAM  M.,  GREGORY  S.  STONE,  and  BRYAN 
S.  OBST,  "Behavior  of  southern  right  whales,  Eubalaena 
aiistralis,  feeding  on  the  Antarctic  krill,  Euphausia  superba," 
143 


Haplosporidium  nelsoni 
parasitic  effects  on  oysters. 


553 


"Harbor  porpoise,  Phocoena  phocoena,  abundance  estimation  for 
California,  Oregon,  and  Washington:  I.  Ship  surveys,"  by  Jay 
Barlow,    417 

"Harbor  porpoise,  Phocoena  phocoena,  abundance  estimation  for 
California,  Oregon,  and  Washington:  II.  Aerial  sun^eys,"  by  Jay 
Barlow,  Charles  W.  Oliver,  Terry  D.  Jackson,  and  Barbara  L. 
Taylor,  433 

HARGREAVES,  N.  B.,  "A  field  method  for  determining  prey 
preferences  of  predators,"    763 

Hatchery  studies 
salmon,  coho,    173 
smolt  release,    655 


Hedonic  approach 
fishery  capital  stock  and  investment. 


339 


HERRNKIND,  WILLIAM  F.,  MARK  J.  BUTLER  IV,  and 
RICHARD  T.  TANKERSLEY,  "The  effects  of  siltation  on 
recruitment  of  spiny  lobsters,  Panulirus  argus,"    331 

HOBSON,  EDMUND  S.,  and  JAMES  R.  CHESS,  "Trophic  rela- 
tions of  the  blue  rockfish,  Sebastes  mystinus,  in  a  coastal  upwell- 
ing  system  off  northern  California,"    715 

Homarus  americanus—see  Lobster,  American 

HOSS,  DONALD  E.,  LINDA  COSTON-CLEMENTS,  DAVID  S. 
PETERS,  and  PATRICIA  A.  TESTER,  "Metabolic  responses  of 
spot,  Leiostomus  xanthwnis,  and  Atlantic  croaker,  Micropogonias 
undulatus,  larvae  to  cold  temperatures  encountered  follownng 
recruitment  to  estuaries,"    483 

Humboldt  Current  area 
ichthyoplankton  off  Chile,    1 

HUNTER,  JOHN  R.-see  VERNET  et  al. 

Hydrothermal  discharge 
Alvinocaris  spp.,    263 


851 


Ichthyoplankton— see  Plankton  studies 

IDELBERGER,  CHARLES  F.-see  GRIMES  et  al. 

Identification  methods 
tuna,  yellowfin,    835 

"Induction  of  spawning  in  the  weakfish,  Cynoscion  regalis,"  by 
Charles  E.  Epifanio,  David  Goshorn,  and  Timothy  E.  Targett,    168 

"Integrity  of  schools  of  skipjack  tuna,  Katsuwonus  pelamis,  in  the 
eastern  Pacific  Ocean,  as  determined  from  tagging  data,"  by 
William  H.  Bayliff,    631 

"Interannual  variation  of  ichthyoplankton  composition  and  abun- 
dance relations  off  northern  Chile,  1964-85,"  by  Valerie  J.  Loeb 
and  Omar  Rojas,    1 

JAHN,  A.  E.,  D.  M.  GADOMSKI,  and  M.  L.  SOWBY,  "On  the 
role  of  food-seeking  in  the  suprabenthic  habit  of  larval  white 
croaker,  Genyonemus  lineatus  (Pisces:  Sciaenidae),"    251 

JAMIESON,  GLEN  S.,  and  ANTAN  C.  PHILLIPS,  "Occurrence 
of  Cancer  crab  (C.  magister  and  C.  oregonensis)  magalopae  off  the 
west  coast  of  Vancouver  Island,  British  Columbia,"    525 

JAMIESON,  GLEN  S.,  and  ELLEN  K,  PIKITCH,  "Vertical 
distribution  and  mass  mortality  of  prawns,  Pandalus  platyceros, 
in  Saanich  Inlet,  British  Columbia,"    601 

JOLL,  LINDSAY  M.-see  FORD  et  al. 

JOUNG,  SHOOU-JENG-see  CHEN  et  al. 


Kingfish,  southern 
distribution  and  abundance,    129 

KIRKLEY,  JAMES  E.,  and  DALE  E.  SQUIRES,  "A  hmited  in- 
formation approach  for  determining  capital  stock  and  investment 
in  a  fishery,"    339 


KOSKI,  K  V.-see  MURPHY  et  al. 

Krill,  Antarctic 
feeding  of  whales,    143 


Larimtcs  fasciatus—see  Banded  drum 

"Larval  development  of  blue  grenadier,  Macruronus  novaeze- 
landiae  (Hector),  in  Tasmanian  waters,"  by  B.  D.  Bruce,    119 

Larval  studies 
cod,  Atlantic,    223 
continental  shelf,    703 
copepod  nauplii,    319 
crab,  cancer,    525 
crab,  Dungeness,    299 
crab.  Gulf  stone,    289 
croaker,  Atlantic,    483 
croaker,  white,    251 
fishes,    299 
grenadier,  blue,    119 

852 


haddock,    223 

ichthyoplankton  off  Chile,     1 
lipofucin  for  ageing.    407 
menhaden,  gulf,    77 
mesotide  areas,    703 
northern  Gulf  of  Mexico,    811 
sardine.  Pacific,     163 
sciaenids,    129 
spot,    483 

Laurencia  spp.— see  Algae,  benthic 

LeiostoTmis  xanthurus—see  Spot 

"Length- weight  relationships  for  gulf  flounder,  Paralirhthys 
albigutta,  from  North  Carolina,"  by  Glen  W.  Safrit  and  Frank  J. 
Schwartz,    832 

LEU,  TZYH-CHANG-see  CHEN  et  al. 

LI,  HIRAM  M.-see  CURRENS  et  al. 

Life  history  studies 
clams,  soft  shell,    567 
juvenile  Pacific  salmon,    213 
shark,  scyliorhinid,    691 

"Life  tables  for  two  field  populations  of  soft-shell  clam,  Mya 
arenaria,  (Mollusca:  Pelecypoda)  from  Long  Island  Sound,"  by 
Diane  J.  Brousseau  and  Jenny  A.  Baglivo,    567 

"A  limited  information  approach  for  determining  capital  stock  and 
investment  in  a  fishery,"  by  James  E.  Kirkley  and  Dale  E. 
Squires,    339 

LIN,  BIING-HWAN,  and  NANCY  A.  WILLIAMS,  "Specifying 
a  functional  form  for  the  influence  of  hatchery  smolt  release  on 
adult  salmon  production,"  655 

Line  transect  methods 
porpoise,  harbor,    429 

Lipofuscin 
ageing  methods,    401 
larval  marine  fish,    407 

Lithodes  maja 
bathymetric  and  geographic  distribution,    67 

LIVINGSTON,  P.  A.-see  YANG  and  LIVINGSTON 

Lobster,  American 
behavior  and  survival,    789 

Lobster,  spiny 
population  studies,    773 
siltation  and  recruitment,    331 

LOEB,  VALERIE  J.,  and  OMAR  ROJAS,  "Interannual  varia- 
tion of  ichthyoplankton  composition  and  abundance  relations  off 
northern  Chile,  1964-85,"  1 

"A  long-term  study  of  'microcell'  disease  in  oysters  with  a  descrip- 
tion of  a  new  genus,  Mikrocytos  (g.  n.),  and  two  new  species, 
Mikrocytos  mackini  (sp.  n.)  and  Mikrocytos  roughleyi  (sp.  n.),"  by 
C.  Austin  Farley,  Peter  H.  Wolf,  and  Ralph  A.  Elston,    581 


"A  long-term  study  on  the  behavior  and  survival  of  early  juvenile 
American  lobster,  Homarus  ainericanus,  in  three  naturalistic 
substrates:  eelgrass,  mud,  and  rocks,"  by  Diana  E.  Barshaw  and 
Donald  R.  Bryant-Rich,    789 

Lopholatilus  chamaeleonticeps—see  Tilefishes 

LOUGH,  R.  GREGORY-see  BOLZ  and  LOUGH 

LUEDKE,  DONNA  A. -see  GOULD  et  al. 


Mackerel,  king 
occurrence  of  in  shrimp  trawls,    394 

Mackerel,  Spanish 
occurrence  of  in  shrimp  trawls,    394 

Macruronus  novaezelandiae—see  Grenadier,  blue 

MARTIN,  JOEL  W.,  FRANK  M.  TRUESDALE,  and  DARRYL 
L.  FELDER,  "The  megalopa  stage  of  the  Gulf  stone  crab, 
Menippe  adina  Williams  and  Felder,  1986,  with  comparison  of 
megalopae  in  the  genus  Menippe,"    289 

Mathematical  methods 
abundance  survey,    448 
chi-square  tests,    634 
CPUE  for  yellowtail  flounder,    91 
investment  in  shrimp  fishing  vessels,     151 
length-frequency  distribution,    645 
mortality  in  fish  stocks,    25 
population  estimates,    617 
regression  equations,    833 
salmon  survival,    655 

MATLOCK,  GARY  C.-see  McEACHRON  et  al. 

MAYO,  RALPH  K.-see  O'Brien  and  MAYO 

McEACHRON,  LAWRENCE  W.,  JEFF  F.  DOERZBACHER, 
GARY  C.  MATLOCK,  ALBERT  W.  GREEN,  and  GARY  E. 
SAUL,  "Reducing  the  bycatch  in  a  commercial  trotline  fishery," 
109 

McINTYRE,  JOHN  D.,  REGINALD  R.  REISENBICHLER, 
JOHN  M.  EMLEN,  RICHARD  L.  WILMOT,  and  JAMES  E. 
FINN,  "Predation  of  Karluk  River  sockeye  salmon  by  coho 
salmon  and  char,"    611 

"The  megalopa  stage  of  the  Gulf  stone  crab,  Menippe  adina 
Williams  and  Felder,  1986,  with  comparison  of  megalopae  in  the 
genus  Menippe,"  by  Joel  W.  Martin,  Frank  M.  Truesdale,  and 
Darryl  L.  Felder,    289 

Melanogrammus  aeglefinus—see  Haddock 

MENDELSSOHN,  ROY,  "Some  problems  in  estimating  popula- 
tion sizes  from  catch-at-age  data,"    617 

Menhaden,  gulf 
age  and  growth,    77 

Menippe  adina— see  Crab,  Gulf  stone 
Menticirrhus  americanussee  Kingfish,  southern 


"Metabolic  responses  of  spot,  Leiostomus  xanthurus,  and  Atlan- 
tic croaker,  MicropogonioH  undulatus,  larvae  to  cold  temperatures 
encountered  following  recruitment  to  estuaries,"  by  Donald  E. 
Hoss,  Linda  Coston-Clements,  David  S.  Peters,  and  Patricia  A. 
Tester,    483 

"Microcell"  disease 
oysters,    581 

Micropogonias  undulatiis—see  Croaker,  Atlantic 

Microstomias  pacificics—see  Sole,  Dover 

Migration  studies 
salmon,  Atlantic,    197 
salmon,  coho,    173 
salmon.  Pacific,    213 

"Migrations  of  coho  salmon,  Oncorhynchus  kisutch,  during  their 
first  summer  in  the  ocean,"  by  William  G.  Pearcy  and  Joseph  P. 
Fisher,    173 

Mikrocytos  mackini 
"microcell"  disease  in  oysters,    581 

Mikrocytos  roughleyi 
"microcell"  disease  in  oysters,    581 

Mobula  japanica 
key  to  species,    56 

Mobula  munkiana 
key  to  species,    60 

Mobula,  spp.— see  Rays,  mobulid 

Mobula  tarapacana 
key  to  species,    62 

Mobula  thurstoni 
key  to  species,    49 

Monte  Carlo  method 
abundance  survey  method,    448 

MORI,  TSUKASA-see  WATANABE  et  al. 

Morone  axatilis—see  Bass,  striped 

"Morphological  differences  between  two  congeneric  species  of 
pleuronectid  flatfishes:  Arrowtooth  flounder,  Atheresthes  stomias, 
and  Kamchatka  flounder,  A.  evermanni,"  by  Mei-Sun  Yang,    608 

Mortality 
estimates,    671 

length-frequency  analysis,    645 
lobster,  spiny,    777 
methods  of  fish  stock  estimation,    25 

MULLIN,  M.  M.,  and  E.  R.  BROOKS,  "Extractable  lipofuscin 
in  larval  marine  fish,"    407 

Munida  forceps 
bathymetric  and  geographic  distribution,    67 

853 


Munida  longipes 
bathymetric  and  geographic  distribution,    67 

Munidopsis  alvisca 
new  decapod  species,    263 

Munids 
abundance,    602 
dissolved  oxygen  levels,    604 

MURPHY,  MICHAEL  L.,  JOHN  F.  THEDINGA,  and  K  V. 
KOSKI,  "Size  and  diet  of  juvenile  Pacific  salmon  during  seaward 
migration  through  a  small  estuary  in  southeastern  Alaska,"    213 

MURRAY,  CLYDE  B.-see  BEACHAM  et  al. 

Mya  arenaria—see  Clam,  soft-shell 


"Natural  history  of  the  rays  on  the  genus  Mobula  in  the  Gulf  of 
California,"  by  Guiseppe  Notarbartolo-di-Sciara,    45 

"New  marine  decapod  crustaceans  from  waters  influenced  by 
hydrothermal  discharge,  brine,  and  hydrocarbon  seepage,"  by 
Austin  B.  Williams,    263 

NOTARBARTOLO-DI-SCIARA,  GUISEPPE,  "Natural  history  of 
the  rays  on  the  genus  Mobula  in  the  Gulf  of  California,"    45 

"Note  on  muscle  glycogen  as  an  indicator  of  spawning  potential 
in  the  sea  scallop,  Placopecten  magellanicus,"  by  Edith  Gould, 
Diane  Rusanowsky,  and  Donna  A.  Luedke,    597 

"Notes  on  decapod  and  euphausiid  crustaceans,  continental 
margin,  western  Atlantic,  Georges  Bank  to  western  Florida, 
USA,"  by  Austin  B.  Williams,    67 

"Notes  on  reproduction  in  the  scalloped  hammerhead,  Sphyrjia 
leuiini,  in  northeastern  Taiwan  waters,"  by  Che-Tsung  Chen,  Tzyh- 
Chang  Leu,  and  Shoou-Jeng  Joung,    389 

NYMAN,  ROBERT  M.,  AND  DAVID  0.  CONOVER,  "The  rela- 
tion between  spawning  season  and  the  recruitment  of  young-of- 
the-year  bluefish,  Pomatomus  saltatrix,  to  New  York,"    237 


O'BRIEN,  LORETTA,  and  RALPH  K.  MAYO,  "Source  of  varia- 
tion in  catch  per  unit  effort  of  yellowtail  flounder,  Limanda  fer- 
ruginea  (Storer),  harvested  off  the  coast  of  New  England,"    91 

OBST,  BRYAN  S.-see  HAMNER  et  al. 

"Occurrence  of  young-of-the-year  king,  Scomberomorus  cavalla, 
and  Spanish,  S.  maculatus,  mackerels  in  commercial-type  shrimp 
trawls  along  the  Atlantic  coast  of  the  southeast  United  States," 
by  Mark  R.  Collins  and  Charles  A.  Wenner,    394 

"Occurrence  of  Cancer  crab  (C.  magister  and  C.  oregonensis) 
megalopae  off  the  west  coast  of  Vancouver  Island,  British  Colum- 
bia," by  Glen  S.  Jamieson  and  Antan  C.  Phillips,    525 

"Oceanographic  associations  of  neustonic  larval  and  juvenile  fishes 
and  Dungeness  crab  megalopae  off  Oregon,"  by  Jonathan  M. 
Shenker,    299 

854 


"On  the  role  of  food-seeking  in  the  suprabenthic  habit  of  larval 
white  croaker,  Genyonemus  lineatics  (Pisces:  Sciaenidae),"  by  A.  E. 
Jahn,  n.  M.  Gadomski,  and  M.  L.  Sowby,    251 

Onchorhynchus  gorhuscha—see  Salmon,  pink 

Oncorhynchus  keta—see  Salmon,  chum 

Oncorhynchus  kisutch—see  Salmon,  coho 

Oncorhynchus  nerka—see  Salmon,  sockeye 

Oncorhynchus  spp.— see  Salmon,  Pacific 

Oreo,  black 
otolith  ultrastructure,    499 

Oreo,  smooth 
otolith  ultrastructure,    499 

ORTNER,  P.  B.-see  DAGG  et  al. 

Ostrea  edulis—see  Oyster,  flat 

Ostrea  lusida—see  Oyster,  Olympia 

"Otolith  ultrastructure  of  smooth  oreo,  Pseudocyttus  maculatus, 
and  black  oreo,  Allocyttus  sp.,  species,"  by  N.  M.  Davies,  R.  W. 
Gauldie,  S.  A.  Crane,  and  R.  K,  Thompson,    499 

Otoliths 
bluefish,    237 
cod,  Atlantic,  223 
haddock,  223 
menhaden,  gulf,    77 
oreo,  black,    499 
oreo,  smooth,    499 
saury.  Pacific,    489 
trout,  rainbow,    160 

Oyster,  American 
growth  and  health,    553 

Oyster,  flat 
"microcell"  disease,    581 

Oyster,  Japanese 
"microcell"  disease,    581 

Oyster,  Olympia 
"microcell"  disease,    581 

Pandalus  jordanisee  Shrimp,  pink 

Pandalus  platyceros—see  Prawn,  spot 

Panulirus  argussee  Lobster,  spiny 

Panulirus  cygnus—see  Lobster,  spiny 

Parasite  studies 
oyster  growth,    553 
oysters,    581 

Parmaturus  xaniurus—see  Shark,  scyliorhinid 


Parophrys  vetuliissee  English  sole 

Pathology 
oysters,  581 

PEARCY,  WILLIAM  G.,  and  JOSEPH  P.  FISHER.  "Migrations 
of  coho  salmon,  Oncorhynchus  kisutch,  during  their  first  summer 
in  the  ocean,"     173 

"Pelagic  biogeography  of  the  armorhead,  Pseudopentaceros  ivheel- 
eri,  and  recruitment  to  isolated  seamounts  in  the  North  Pacific 
Ocean,"  by  George  W.  Boehlert  and  Takashi  Sasaki,    453 

Penaeus  brasiliensis—see  Shrimps,  penaeid 

Penaeus  notialis—see  Shrimps,  penaeid 

Penaeus  subtilis—see  Shrimps,  penaeid 

PENSON,  JOHN  B.,  JR.,  ERNEST  0.  TETTY,  and  WADE  L. 
GRIFFIN,  "An  econometric  analysis  of  net  investment  in  Gulf 
shrimp  fishing  vessels,"     151 

Perkinsus  marinus 
parasitic  effects  on  oysters,    553 

PETERS,  DAVID  S.-see  HOSS  et  al. 

PHILLIPS,  ANTAN  C.-see  JAMIESON  and  PHILLIPS 

PHILLIPS,  BRUCE  F.-see  FORD  et  al. 

Pkocoena  phocoena—see  Porpoise,  harbor 

PICKETT,  DARLENE-see  BUTLER  and  PICKETT 

PIKITCH,  ELLEN  K.-see  JAMIESON  and  PIKITCH 

Placopecten  magellanicus—see  Scallop,  sea 

Plankton  studies,    1,  129,  299,  704,  723,  811,  833,  838 

Pogonias  cromissee  Black  drum 

POLACHECK,  TOM,  "Analyses  of  the  relationship  between  the 
distribution  of  searching  effort,  tuna  catches,  and  dolphin  sightings 
within  individual  purse  seine  cruises,"    351 

Polychaetes,  capitellid 
shrimp  diets,    543 

Pomatomus  saltatrix—see  Bluefish 

Population  studies 
dolphin,  bottlenose,    797 
English  sole,    823 
larval  fishes.    811 
lobster,  spiny,    775 
mackerel,  Pacific,    622 
methods,    617 
porpoise,  harbor,    417,  433 
sablefish,    445 
salmon,  chum,    663 
shark,  scyliorhinid,    694 


Porpoise,  harbor 
abundance  estimation,    417,  433 

Postsmolts 
salmon,  Atlantic,    197 

POWELL,  ERIC  N.-see  WILSON  et  al. 

Prawn,  spot 
distribution  and  mortality,    601 

Predation 
salmon,    763 
sardine  larvae,    163 

"Predation  of  Karluk  River  sockeye  salmon  by  coho  salmon  and 
char,"  by  John  D.  Mclntyre,  Reginald  R.  Reisenbichler,  John  M. 
Emlen,  Richard  L.  Wilmot.  and  James  E.  Finn,    611 

Pristipomoides  auricilla—see  Snapper 

Pristipomoides  zonatus—see  Snapper 

Pseudocyttus  maculatus—see  Oreo,  smooth 

Pseudopentaceros  wheeleri—see  Armorhead,  pelagic 

Purse  seine 
salmon,  coho,    173 
searching  effort,  tuna  catches,  and  dolphin  sightings,    351 

RAY,  SAMMY  M.-see  WILSON  et  al. 

Rays,  mobulid 
natural  history,    45 
key  to  species,    48 

Red  drum 
reducing  bycatch,    109 

"Reducing  the  bycatch  in  a  commercial  trotline  fishery,"  by 
Lawrence  W.  McEachron,  Jeff  F.  Doerzbacher,  Gary  C.  Matlock, 
Albert  W.  Green,  and  Gary  E.  Saul,    109 

"Reexamination  of  the  use  of  otolith  nuclear  dimensions  to  iden- 
tify juvenile  anadromous  and  nonanadromous  rainbow  trout,  Salmo 
gairdneri,"  by  Kenneth  P.  Currens,  Carl  B.  Schreck,  and  Hiram 
M.  Li,    160 

Reinhardtius  hippoglossoides—see  Halibut,  Greenland 

REISENBICHLER,  REGINALD  R.-see  McINTYRE  et  al. 

"The  relation  between  spawning  season  and  the  recruitment  of 
young-of-the-year  bluefish,  Pomatomus  saltatrix,  to  New  York," 
by  Robert  M.  Nyman  and  David  0.  Conover,    237 

"Relationship  between  sediment  character  and  sex  segregation  in 
English  sole,  Parophrys  vetulv^,"  by  D.  Scott  Becker,    517 

"Reproductive  biology  of  the  spotted  seatrout,  Cynoscion  nebu- 
losus,  in  South  Texas,"  by  Nancy  Brown-Peterson,  Peter  Thomas, 
and  Connie  R.  Arnold,    373 


855 


"The  reproductive  biology  of  tilefish,  Lopholatilus  chamaeleon- 
ticeps  Goode  and  Bean,  from  the  United  States  Mid-Atlantic  Bight, 
and  the  effects  of  fishing  on  the  breeding  system,"  by  Churchill 

B.  Grimes,  Charles  F.  Idelberger,  Kenneth  W.  Able,  and  Stephen 

C.  Turner,    745 

Reproductive  studies 
bluefish,    237 
larval  fishes,    811 
oyster,  American,    553 
scallop,  sea,    597 
seatrout  spawning,    129 
seatrout,  spotted,    373 
shark,  hammerhead,    389 
tilefishes,    745,  752 
weakfish,    168 

Rockfish,  blue 
habitat  studies,    715 

ROGERS,  CHRISTOPHER  W.,  DONALD  R.  GUNDERSON,  and 
DAVID  A.  ARMSTRONG,  "Utilization  of  a  Washington  estuary 
by  juvenile  English  sole,  Parophrys  vetulus,"    823 

ROJAS,  OMAR-see  LOEB  and  ROJAS 

RUSANOWSKY,  DIANE-see  GOULD  et  al. 


Sablefish 
abundance  indices,    445 

Saccostrea  commercialis—see  Oyster,  flat 

SAFRIT,  GLEN  W.,  and  FRANK  J.  SCHWARTZ,  "Length- 
weight  relationships  for  gulf  flounder,  Paralichthys  albigutta,  from 
North  Carolina,"    832 

Salmo  gairdneri—see  Trout,  rainbow 

Salmo  salar—see  Salmon,  Atlantic 

Salmon,  Atlantic 
postsmolts,    197 

Salmon,  chum 
population  spawning,    663 
size  and  diet  of  juveniles,    213 
smolts  and  adult  production,    655 

Salmon,  coho 
ocean  migrations,    173 
predation,    611 
predators,    763 
size  and  diet  of  juveniles,    213 
smolts  and  adult  production,    655 

Salmon,  Pacific 
size  and  diet  of  juveniles,    213 

Salmon,  pink 
predators,    763 
size  and  diet  of  juveniles,    213 

Salmon,  sockeye 
predation,    611 

856 


Salvelinus  alpinus—see  Char,  Arctic 

Salvelinus  malma—see  Dolly  Varden 

Sampling  techniques 
plankton,    838 
sole,  English,    517 

Sardine,  Pacific 
vulnerability  to  predation,     163 

Sardinops  sagax—see  Sardine,  Pacific 

SASAKI,  TAKASHI-see  BOEHLERT  and  SASAKI 

SAUL,  GARY  E.-see  McEACHRON  et  al. 

Saury,  Pacific 
growth,    489 

SAVOY,  THOMAS  F.,  and  VICTOR  A.  CRECCO,  "The  timing 
and  significance  of  density-dependent  and  density-independent 
mortality  of  American  shad,  Alosa  sapidissima,"    467 

Scallop,  sea 
spawning  potential,    597 

SCHAEFER,  KURT  M.-see  GRAVES  et  al. 

Schooling 
tuna,  skipjack,    631 

SCHRECK,  CARL  B.-see  CURRENS  et  al. 

Sciaenops  ocellatus—see  Red  drum 

Scomberomorus  cavalla—see  Mackerel,  king 

Scomberomorus  maculatus—see  Mackerel,  Spanish 

"Seasonality  and  depth  distribution  of  larval  fishes  in  the  northern 
Gulf  of  Mexico  above  latitude  26°00'N,"  by  James  G.  Ditty,  Glen 
G.  Zieske,  and  Richard  F.  Shaw,    811 

Seatrout,  sand 
larval  spawning,     129 

Seatrout,  spotted,     109 
reproductive  biology,    373 

Sebastes  mystinus—see  Rockfish,  blue 

Sediment  character 
sex  segregation  in  English  sole,    517 

SEKI,  MICHAEL  P.,  and  MICHAEL  W.  CALLAHAN,  "The 
feeding  habits  of  two  deep  slope  snappers,  Pristipomoides  zonatus 
and  P.  auricilla,  at  Pathfinder  Reef,  Mariana  Archipelago,"    807 

Sex  segregation 
sole,  EngHsh,    517 

Shad,  American 
mortality  rates,    467 


SHANKS,  ALAN  L.,  "Further  support  for  the  hypothesis  that 
internal  waves  can  cause  shoreward  transport  of  larval  in- 
vertebrates and  fish,"    703 

Shark,  scyliorhinid 
biology,    691 

Sharks,  hammerhead 
reproduction,    389 

SHAW,  RICHARD  F.-see  DITTY  et  al. 

SHAW,  RICHARD  F.-see  COWAN  AND  SHAW 

SHENKER,  JONATHAN  M.,  "Oceanographic  associations  of 
neustonic  larval  and  juvenile  fishes  and  Dungeness  crab  megalopae 
off  Oregon,"    299 

SHIRLEY,  SUSAN  M.,  and  THOMAS  C.  SHIRLEY,  "Appendage 
injury  in  Dungeness  crabs,  Cancer  magister,  in  southeastern 
Alaska,"     156 

SHIRLEY,  THOMAS  C.-see  SHIRLEY  and  SHIRLEY 

Shrimp,  gulf 
investment  in  fishing  vessels,     151 

Shrimp,  pink 
abundance,    603 
dissolved  oxygen  levels,    604 

Shrimp,  roughback 
cojoined  (two  headed)  specimen,    595 

Shrimps,  penaeid 
food  pathways,    543 

SIGLER,  MICHAEL  F.,  and  JEFFREY  T.  FUJIOKA,  "Evalua- 
tion of  variability  in  sablefish,  Anoplopoma  fimbria,  abundance  in- 
dices in  the  Gulf  of  Alaska  using  the  bootstrap  method,"    445 

SIMOVICH,  MARIE  A.-see  GRAVES  et  al. 

"Size  and  diet  of  juvenile  Pacific  salmon  during  seaward  migra- 
tion through  a  small  estuary  in  southeastern  Alaska,"  by  Michael 
L.  Murphy,  John  F.  Thedinga,  and  K  V.  Koski,    213 

Snail,  pyramidellid 
parasitic  effects  on  oysters,    553 

Snapper 
food  habits,    807 

Sole,  Dover 
lipofuscin  for  ageing,    401 

Sole,  English 
sex  segregation,    517 

"Some  problems  in  estimating  population  sizes  from  catch-at-age 
data,"  by  Roy  Mendelssohn,    617 

"Sources  of  variation  in  catch  per  unit  effort  of  yellowtail  flounder, 
Limanda  ferruginea  (Storer),  harvested  off  the  coast  of  New 
England,"  by  Loretta  O'Brien  and  Ralph  K.  Mayo,    91 


Spawning  season 
bluefish,    237 

Spawning  studies— see  Reproductive  studies 

"Specifying  a  functional  form  for  the  influence  of  hatchery  smelt 
release  on  adult  salmon  production,"  by  Biing-Hwan  Lin  and  Nancy 
A.  Williams,    655 

Sphyma  lewini—see  Sharks,  hammerhead 

Sphyma  mokarran—see  Sharks,  hammerhead 

Sphyma  zygaena—see  Sharks,  hammerhead 

Spot 
distribution  and  abundance,     129 
metabolic  responses  to  temperatures,    483 

SQUIRES,  DALE  E.-see  KIRKLEY  and  SQUIRES 

Stenella  attenuata—see  Dolphin,  spotted 

Stomach  contents 
halibut,  Greenland,    676 

"Stomach  contents  of  commercially  caught  Hudson  River  striped 
bass,  Morone  saxatilis,  1973-1975,"  by  C.  Braxton  Dew,    397 

STONE,  GREGORY  S.-see  HAMNER  et  al. 

STONER,  ALLAN  W.,  and  ROGER  J.  ZIMMERMAN,  "Food 
pathways  associated  wdth  penaeid  shrimps  in  a  mangrove-fringed 
estuary,"    543 

Submersibles 
decapod  crustaceans,    67 
prawn  distribution,    602 

Survey,  Pacific 
growth,    489 

Surveys 
aerial,    433 
bootstrap,    445 
ichthyoplankton  off  Chile,    1 
lobster,  spiny,    331 
porpoise,  harbor,    417 
ship,    417 
sole,  English,    517 

Tagging  studies 
tuna,  skipjack,    631 

TANKERSLEY,  RICHARD  T.-see  HERRNKIND  et  al. 

TARGETT,  TIMOTHY  E.-see  EPIFANIO  et  al. 

Temperature  studies 
spot.    483 
croaker,  Atlantic,    483 

TESTER,  PATRICIA  A.-see  ROSS  et  al. 
TETTY,  ERNEST  O.-see  PENSON  et  al. 


857 


THEDINGA,  JOHN  F.-see  MURPHY  et  al. 

THOMAS,  PETER-see  BROWN-PETERSON  et  al. 

THOMPSON,  R.  K.-see  DAVIES  et  al. 

Thunnus  albacares—see  Tuna,  yellowfin 

Thunnus  obesus—see  Tuna,  bigeye 

Tide  studies,    703 

Tilefishes 
reproductive  biology,    745 

"The  timing  and  significance  of  density-dependent  and  density- 
independent  mortality  of  American  shad,  Alosa  sapidissima,"  by 
Thomas  F.  Savoy  and  Victor  A.  Crecco,    467 

Trachypenaeus  similis—see  Shrimp,  roughback 

Trawls,  shrimp 
occurrence  of  mackerel,    394 

TRONZO,  CRAIG  R.-see  CAHOON  and  TRONZO 

"Trophic  relations  of  the  blue  rockfish,  Sebastes  mystinus,  in  a 
coastal  upwelling  system  off  northern  California,"  by  Edmund  S. 
Hobson  and  James  R.  Chess,    715 

Trotlines,    109 

Trout,  rainbow 
lipofuscin  for  ageing,    401 
otolith  identification,    160 

TRUESDALE,  FRANK  M.-see  MARTIN  et  al. 

Tuna 
distribution  within  purse  seine  cruises,    351 

Tuna,  bigeye 
burnt  tuna    367 

Tuna,  "burnt" 
etiology,    367 

Tuna,  skipjack 
schooling,    631 
tag  studies,    631 

Tuna,  yellowfin 
burnt  tuna,    367 
identification  of  juveniles,    835 

Turbot— see  Halibut,  Greenland 

TURNER,  STEPHEN  C.-see  GRIMES  et  al. 

Tursiops  tumcatiLs—see  Dolphin,  bottlenose 


Upwelling  and  downwelling 
northern  California  coast,    715 
South  Atlantic  Bight,    703 


"Utilization  of  a  Washington  estuary  by  juvenile  English  sole, 
Paropkryts  vetulus,"  by  Christopher  W.  Rogers,  Donald  R.  Gunder- 
son,  and  David  A.  Armstrong,    823 


VERNET,  MARIA,  JOHN  R.  HUNTER,  and  RUSSELL  D. 
VETTER,  "Accumulation  of  age  pigments  (lipofuscin)  in  two 
cold-water  fishes,"    401 

"Vertical  distribution  and  mass  mortality  of  prawns,  Pandaltis 
platyceros,  in  Saanich  Inlet,  British  Columbia,"  by  Glen  S. 
Jamieson  and  Ellen  K.  Pikitch,    601 

VETTER,  E.  F.,  "Estimation  of  natural  mortality  in  fish 
stocks:  a  review,"    25 

VETTER,  RUSSELL  D.-see  VERNET  et  al. 


WARLEN,  STANLEY  M.,  "Age  and  growth  of  larva!  gulf 
menhaden,  Brevoortia  patronus,  in  the  northern  Gulf  of 
Mexico,"    77 

WATANABE,  YOSHIRO,  JOHN  L.  BUTLER,  and  TSUKASA 
MORI,  "Growth  of  Pacific  saury,  Cololabis  saira,  in  the  north- 
eastern and  northwestern  Pacific  Ocean,"    489 

WATSON,  CHERYL,  ROBERT  E.  BOURKE,  and  RICHARD  W., 
BRILL,  "A  comprehensive  theory  on  the  etiology  of  burnt 
tuna,"    367 

Wave  slicks,    703 

Weakfish 
induction  of  spawning,    168 

WENNER,  CHARLES  A.-see  COLLINS  and  WENNER 

Western  rock  lobster— see  Lobster,  spiny 

Whales,  southern  right 
behavior,     143 
feeding,    143 

WIEBE,  PETER  H.,  "Functional  regression  equations  for 
zooplankton  displacement  volume,  wet  weight,  dry  weight,  and 
carbon:  a  correction,"    833 

WILLIAMS,  AUSTIN  B.,  "Cojoined  twin  adult  shrimp 
(Decapoda:  Penaeidae),"    595 

WILLIAMS,  AUSTIN  B.,  "New  marine  decapod  crustaceans 
from  waters  influenced  by  hydrothermal  discharge,  brine,  and 
hydrocarbon  seepage,"  263 

WILLIAMS,  AUSTIN  B.,  "Notes  on  decapod  and  euphausiid 
crustaceans,  continental  margin,  western  Atlantic,  Georges  Bank 
to  western  Florida,  USA,"  67 

WILLIAMS,  NANCY  A.-see  LIN  and  WILLIAMS 

WILMOT,  RICHARD  L.-see  McINTYRE  et  al. 

WILSON,  ELIZABETH  A.,  ERIC  N.  POWELL,  and  SAMMY  M. 
RAY,    "The  effect  of  the  ectoparasitic  pyramidellid  snail,  Boonea 


858 


impressa,  on  the  growth  and  health  of  oysters,  Crassostrea 
virginica,  under  field  conditions,"    553 

"Winter-time  distribution  and  abundance  of  copepod  nauplii  in  the 
northern  Gulf  of  Mexico,"  by  M.  J.  Dagg,  P.  B.  Ortner,  and  J. 
Al-Yamani,    319 

WITHLER,  RUTH  E.-see  BEACHAM  et  al. 

WOLf^  PETER  H.-see  FARLEY  et  al. 


YANG,  M.  S.,  and  P.  A.  LIVINGSTON,    "Food  habits  and  daily 
ration  of  Greenland  halibut,  Reinhardtius  hijypoglossoides,  in  the 


eastern  Bering  Sea,"  675 

YANG,  MEI-SUN,  "Morphological  differences  between  two  con- 
generic species  of  pleuronectid  flatfishes:  Arrowtooth  flounder, 
Atheresthes  stomias,  and  Kamchatka  flounder,  A.  evermanni," 
608 

Yukon  River  salmon,    663 


ZIESKE,  GLEN  G.-see  DITTY  et  al. 

ZIMMERMAN,  ROGER  J.-see  STONER  and  ZIMMERMAN 

Zooplankton— see  Plankton  studies 


859 


NOTICE 


NOAA  Technical  Reports  NMFS  published  during  first  6  months  of  1988. 

63.  Stock  assessment  of  the  Atlantic  menhaden,  Brevortia 
tyrannus  fishery.  By  Douglas  S.  Vaughan  and  Joseph 
W.  Smith.    January  1988,  iii  +  18  p.,  13  tables,  17  figs. 

64.  Illustrated  key  to  penaeoid  shrimps  of  commerce  in  the 
Americas.  By  Isabel  Perez  Farfante.  April  1988,  iv + 
32  p.,  49  figs. 

65.  History  of  whaling  in  and  near  North  Carolina.  By  Ran- 
dall R.  Reeves  and  Edward  Michell.  March  1988,  iii  + 
28  p.,  5  tables,  10  figs. 

66.  Atlas  and  zoogeography  of  common  fishes  in  the  Bering 
Sea  and  northeastern  Pacific.  By  M.  James  Allen  and 
Gary  B.  Smith.  April  1988,  iii  +  151  p.,  8  tables,  4  figs. 


Some  NOAA  publications  are  available  by  the  purchase  from  the  Superinten- 
dent of  Documents,  U.S.  Government  Printing  Office,  Washington,  D.C. 
20402. 


860 


ERRATA 


Fishery  Bulletin  Vol.  86,  No.  3 


Hoss,  Donald  E.,  Linda  Coston-CIements,  David  S.  Peters,  and  Patricia  A.  Tester,  "Metabolic  responses 
of  spot,  Leiostomus  xanthurus,  and  Atlantic  croaker,  Micropogonias  undulatus,  larvae  to  cold  temper- 
atures encountered  following  recruitment  to  estuaries,"  pages  483-488. 

Bottom  of  page  484  should  read  as  follows: 


Figure  1.— Representative  water-temperatures,  salinities,  and  developmental  stages  of  larval  spot  from  the  spawning  area 
to  Beaufort  Inlet,  North  Carolina.  Drawings  from  Powell  and  Gordy  (1980)  and  Lippson  and  Moran  (1974). 


484 


U  S    Poitsl  S«rw>ce 

STATEMENT  OF  OWNERSHIP,  MANAGEMENT  AND  CIRCULATION 


lA.TITLE  OF  PUBLICATION 

Fishery  Bulletin 


IB    PUBLICATION  NO 


3     6     6-370 


2    DATE  OF  FILING 

28  Sept.    1988 


3.  FREQUENCY  OF  ISSUE 

Quarterly 


3A.  NO    OF  ISSUES  PUBLISHED 
ANNUALLY 

4 


3B    ANNUAL  SUBSCRIPTION 
PRICE 

$16.00 


4.  COMPLETE  MAILING  ADDRESS  OF  KNOWN  OFFICE  OF  PUBLICATION  ISlrcrl.  On.  Count):  Slair  and  ZIP*4  Codel  (Not  frlnten) 

Scientific  Pu):ilications  Office,  MtlFS 

7600  Sand  Point  Way  NE,  BIN  C15700,  Seattle,  WA  98115 


5-  COMPLETE  MAILING  ADDRESS  OF  THE  HEADQUARTERS  OF  GENERAL  BUSINESS  OFFICES  OF  THE  PUBLISHER  (Not  prinirr) 

National  terine  Fisheries  Service,   troAA/DOC 

Universal  Building,    South,    1825  Conn.    Ave.  ,  mv,    Washington,    D.C.    20235 


6.  FULL  NAMES  AND  COMPLETE  MAILING  ADDRESS  OF  PUBLISHER,  EDITOR,  AND  MANAGING  EDITOR  IThis  item  MUST  NOT  be  blank/ 


PUBLISHER  /Name  and  Complete  Mailing  Address] 

Jack  ffcCormick,  Scientific  Publications  Office,  MIFS 
7600  Sand  Point  Way  tlE,  BIN  C15700,  Seattle,  WA  9B115 


EDITOR  (Name  and  Complete  Mailing  Address) 

l^ri'  Fukuyama,  Scientific  Publications  Office,  NMFS 
7600  Sand  Point  Way  tE,  BIN  C15700,  Seattle,  WA  9B115 


MANAGING  EDITOR  /Name  and  Complete  Mailing  Address) 

same  as  above. 


OWNER  (1/ owned  by  a  corporation,  its  name  and  address  must  be  staled  and  also  immediately  thereunder  Die  names  and  addresses  of  slocliliolders 
owning  or  holding  I  percent  or  more  of  total  amount  of  stock    If  not  owned  by  a  corporation,  the  names  and  addresses  of  the  individual  owners  must 
be  given    If  owned  by  a  partnership  or  other  unincorporated  firm,  its  name  and  address,  as  well  as  that  of  each  individual  must  be  given    If  the  publica- 
tion IS  published  by  a  nonprofit  organitalion.  its  name  and  address  must  be  slated  )  (Item  must  be  completed.) 


FULL  NAME 


COMPLETE  MAILING  ADDRESS 


ri..S.    n^rvirtmt^'nt    of   foirmf^rce 


14t-h    .St.,    NW,    W,iBhingfr.n,    D.C.     20230 


KNOWN  BONDHOLDERS.  MORTGAGEES,  AND  OTHER  SECURITY  HOLDERS  OWNING  OR  HOLDING  1  PERCENT  OR  MORE  OF  TOTAL 
AMOUNT  OF  BONDS,  MORTGAGES  OR  OTHER  SECURITIES  (If  there  are  none,  so  state) 


FULL  NAME 


COMPLETE  MAILING  ADDRESS 


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9       FOR  COMPLETION  BY  NONPROFIT  ORGANIZATIONS  AUTHORIZED  TO  MAIL  AT  SPECIAL  RATES  (Section  423  1 2  DMM  only) 
The  purpose,  function,  and  nonprofn  stalus  of  this  organization  and  the  exempt  status  for  Federal  rncome  tax  purposes  (Check  one) 


Q 


HAS  NOT  CHANGED  DURING 
PRECEDING  1  2  MONTHS 


D 


HAS  CHANGED  DURING 
PRECEDING  12  MONTHS 


(If  changed,  publisher  must  submit  explanario 
change  with  this  statement  ) 


EXTENT  AND  NATURE  OF  CIRCULATION 
(See  instructions  on  reverse  side) 


AVERAGE  NO   COPIES  EACH 

ISSUE  DURING  PRECEDING 

12  MONTHS 


ACTUAL  NO,  COPIES  OF  SINGLE 

ISSUE  PUBLISHED  NEAREST  TO 

FILING  DATE 


A.  TOTAL  NO.  COPIES  (Net  Press  Run) 


2094 


2111 


B.    PAID  AND/OR  REQUESTED  CIRCULATION    (liandled    bv    U.S 
1    Sales  through  dealers  and  earner?,  streei  vendors  and  counter  sales,  i 


GPO 

n.r.   ?fi?4n) 


2    Mall  Subscription 

(Paid  and/or  requested) 


C     TOTAL  PAID  AND/OR  REQUESTED  CIRCULATION 
(Sum  of  tOBl  and  I0B2) 


600 


600 


D-   FREE  DISTRIBUTION  BY  MAIL,  CARRIER  OR  OTHER  MEANS 
SAMPLES,  COMPLIMENTARY,  AND  OTHER  FREE  COPIES 


1485 


1494 


E.    TOTAL  DISTRIBUTION  ^Sumo/Ca/idD; 


2085 


2094 


F.    COPIES  NOT  DISTRIBUTED 

1      Office  use.  left  over,  unaccounted,  spoiled  after  printing 


17 


2,  Return  from  News  Agents 


G.  TOTAL  (Sum  of  E.  Fl  and  2 -should  equal  net  press  run  show 


2094 


2111 


I  certify  that  the  statements  made  by 
me  above  are  correct  and  complete 


ER,  BUSlfJESS  MANAGER,  OR  OWNER 


PS  Form  3526,  Dec.  1985 


30: 


30 


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(Contents— Continv£d) 

BLAYLOCK,  ROBERT  A.    Distribution  and  abundance  of  the  bottlenose  dolphin,  Tur- 
siops  truncatus  (Montagu,  1821),  in  Virginia 797 


Notes 

SEKI,  MICHAEL  R,  and  MICHAEL  W.  CALLAHAN.  The  feeding  habits  of  two  deep 
slope  snappers,  PHstipomoides  zonatus  and  P.  auricilla,  at  Pathfinder  Reef,  Mariana 
Archipelago 807 

DITTY,  JAMES  G,  GLEN  G.  ZIESKE,  and  RICHARD  F.  SHAW.  Seasonality  and  depth 
distribution  of  larval  fishes  in  the  northern  Gulf  of  Mexico  above  latitude  26°00'N ...     811 

ROGERS,  CHRISTOPHER  W.,  DONALD  R.  GUNDERSON,  and  DAVID  A.  ARMSTRONG. 
Utilization  of  a  Washington  estuary  by  juvenile  English  sole,  Parophrys  vetulus. . .     823 

SAFRIT,  GLEN  W,  and  FRANK  J.  SCHWARTZ.  Length-weight  relationships  for  gulf 
flounder,  Paralichthys  albigutta,  from  North  Carolina 832 

WIEBE,  PETER  H.  Functional  regression  equations  for  zooplankton  displacement 
volume,  wet  weight,  dry  weight,  and  carbon:  a  correction  833 

GRAVES,  JOHN  E.,  MARIE  A.  SIMOVICH,  and  KURT  M.  SCHAEFER.  Electro- 
phoretic  identification  of  early  juvenile  yellowfin  tuna,  Thunnus  albacares 835 

CAHOON,  LAWRENCE  B.,  and  CRAIG  R.  TRONZO.  A  comparison  of  demersal  zoo- 
plankton  collected  at  Alligator  Reef,  Florida,  using  emergence  and  reentry  traps . . .     838 

Index 847 

Notice 860 


1 


•  GPO  791-008 


Mm.  WHUI    LIBRARY 


UH   nuG