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Full text of "Journal of shellfish research"

JOURNAL OF SHELLFISH RESEARCH 



VOLUME 3, NUMBER 1 



JUNE 1983 




The Journal of Shellfish Research (formerly Proceedings of the 

National Shellfisheries Association) is the official publication 

of the National Shellfisheries Association 



Editor 

Dr. Robert E. Hillman 

Battelle 

New England Marine Research Laboratory 

Duxbury, Massachusetts 02332 

Managing Editor 

Dr. Edwin W. Cake, Jr. 
Gulf Coast Research Laboratory 
Ocean Springs, Mississippi 39564 



Associate Editors 



Dr. Jay D. Andrews 

Virginia Institute of Marine Sciences 

Gloucester Point, Virginia 23062 

Dr. Anthony Calabrese 
National Marine Fisheries Service 
Milford, Connecticut 06460 



Cornell University 
Ithaca, New York 14853 

Dr. Richard A. Lutz 
Nelson Biological Laboratories 
Rutgers University 
Piscataway, New Jersey 08854 



Dr. Kenneth K. Chew 
College of Fisheries 
University of Washington 
Seattle, Washington 98195 



Dr. Gilbert Pauley 
College of Fisheries 
University of Washington 
Seattle, Washington 98195 



Dr. Paul A. Haefner, Jr. 
Rochester Institute of Technology 
Rochester, New York 14623 



Dr. Daniel B. Quayle 
Pacific Biological Laboratory 
Nanaimo, British Columbia, Canada 



Dr. Herbert Hidu 
Ira C. Darling Center 
University of Maine 
Walpole, Maine 04573 

Dr. Louis Leibovitz 

New York State College of Veterinary Medicine 



Dr. Aaron Rosenfield 

National Marine Fisheries Service 

Oxford, Maryland 21654 

Dr. Frederic M. Serchuk 
National Marine Fisheries Service 
Woods Hole, Massachusetts 02543 



Journal of Shellfish Research 

Volume 3, Number 1 

ISSN: 00775711 

June 1983 



Journal of Shellfish Research, Vol. 3, No. 1, 1-9, 1983. 



PREDATION OF JUVENILES OF THE HARD CLAM MERCENARIA MERCENARIA (LINNE) 

BY THE SNAPPING SHRIMP ALPHEUS HETEROCHAELIS SAY 

AND ALPHEUS NORM ANNI KINGSLEY 



BRIAN F. BEAL 1 

The University of North Carolina at Chapel Hill 
Institute of Marine Sciences 
Morehead City, North Carolina 28557 



OCT 5 1984 




ABSTRACT Two species of snapping shrimp, Alpheus heterochaelis and A. normanni, collected near Beaufort, North 
Carolina, during June 1982, and then held in the laboratory, used their major chelae to crush and consume juveniles of the 
hard clam Mercenaria mercenaria. Snapping shrimp (19.1 to 39.4 mm in total body length (TL] ) ate clams in the largest 
size-class (15.1 to 20.0 mm in shell length), but preferred smaller clams when offered equal numbers in this large size-class 
and in each of three smaller size-classes. Female snapping shrimp, regardless of species, exhibited a statistically higher 
predation rate than males when the results of five separate experiments were combined. The major chelae of the females of 
specimens of A. heterochaelis (>32.0 mm TL) were smaller than those of equal size males. Alpheus heterochaelis (19.1 to 
27.2 mm TL) had a larger major chela for a given body length than did specimens of A. normanni; however, predation rates 
of the two species were not significantly different. The number of clams crushed was related to both the size of the major 
chelae and total body length for A. normanni, but not for A heterochaelis. Alpheus spp. inflict two types of shell damage 
which are identical to those caused by blue crabs. These results imply that previous studies may have overestimated the 
importance of crab predation and underestimated or ignored the importance of predation by snapping shrimp. 

KEY WORDS: Alpheus, snapping shrimp, predation, Mercenaria, hard clams 



INTRODUCTION 

The hard clam or northern quahog Mercenaria mercen- 
aria (Linne) is distributed along the Atlantic coast from the 
Gulf of St. Lawrence to the northern Gulf of Mexico and 
occurs intertidally down to 1 5 m (Menzel 1970). This species 
is harvested commercially throughout most of its range; 
e.g., during 1981 and 1982 in North Carolina, the hard 
clam fishery ranked third in importance of all commercial 
fisheries based on a dockside dollar value of $5.4 million 
and $6.6 million, respectively (Street 1982). 

A progression of predators follows the growth of the hard 
clam from the earliest planktonic (Loosanoff 1959, Carriker 
1961), post-settlement (Hunt 1981), and juvenile stages 
(Carriker 1951, Goodwin 1968, Whetstone and Eversole 
1978) through adulthood (Carriker 1951, MacKenzie 1977, 
Greene 1978, Peterson 1982). As M. mercenaria increases 
in size so does its predators; because large predators are 
more commonly recognized in the field and have been 
studied extensively in the laboratory, their importance in 
regulating hard clam population sizes may have been over- 
emphasized. Investigations of predation on natural or 
hatchery-reared juvenile hard clams by blue crabs (Callinectes 
sapidus Rathbun) (Carriker 1951, Menzel and Sims 1964, 
Castagna and Kraeuter 1977), mud crabs (various xanthid 
genera) (Landers 1954, MacKenzie 1977, Whetstone and 
Eversole 1978), and miscellaneous species (Menzel et al. 
1976) imply that those predators are responsible for the 



Present address: The University of Maine at Orono, Cooperative 
Extension Service, 5 Cooper St., P.O. Box 189, Machias, ME 04654 



majority of natural post-settlement mortality of hard clams. 
Resource managers and fishermen who operate commercial 
bottom leases should be aware of the potential effectiveness 
of these predators in reducing hard clam populations. 

I conducted a series field experiments near Beaufort, NC, 
from August 1981 through April 1982, in which juveniles 
of M. mercenaria (6.0 to 1 5.0 mm in length) were maintained 
in cages designed to exclude large (> 6.4 mm) epibenthic 
predators (Beal, unpublished data). Because numerous 
snapping shrimp were observed inside the field cages, which 
also contained several crushed juvenile hard clams, they 
were suspected of being an important additional consumer 
of juvenile clams. 

As a result of these field investigations, I performed 
several laboratory experiments that clearly showed that two 
species of snapping shrimp, Alpheus heterochaelis Say and 
Alpheus normanni Kingsley, should be added to the list of 
known hard clam predators. Here I demonstrate that both 
species will crush and consume juvenile hard clams under 
laboratory conditions and provide field observations that 
indicate they do so in nature as well. Several factors are 
also examined: 

1. Is size of snapping shrimp correlated with its preda- 
tion rate? 

2. Do shrimp show a size preference within the size- 
classes of clams they are able to crush? 

3. Does sex or species of snapping shrimp affect 
predation rate? 

4. Can clam mortality, caused by blue crabs, be distin- 
guished from that inflicted by snapping shrimp on 
the basis of shell damage? ^ 



BEAL 



MATERIALS AND METHODS 

Snapping shrimp and shell debris were obtained from 
two oyster rocks (reefs) near Beaufort, NC, on 18 and 
26 June 1982, using a suction dredge. Shell debris (hash) 
was the substrate used in all experiments and consisted of 
dead and fragmented oysters and clams greater than 3.0 mm 
(the smallest size the dredge efficiently captured). Juvenile 
hard clams were purchased from a commercial dealer and 
given a color dot (Mark-Tex Corp., paint) on both valves 
(near the umbo) which distinguished them from any dead 
clams within the shell debris. 

Snapping shrimp and shell debris were brought to the 
laboratory on the same day they were collected. Shrimp 
were placed in glass finger bowls where they were given 
crushed hard clams as food. Bowls were placed in large 
tanks (75 X 75 X 30 cm) supplied with unfiltered seawater. 
No snapping shrimp were held longer than four days in the 
pre -experimental setting. 

Shell debris was sieved through a 3.2-mm mesh to remove 
all fine sediments and small benthos at the beginning of 
each experiment. Any large animals were also removed 
before the shell debris was placed in finger bowls (20.0 cm 
dia;6.5-cm depth) to a depth of 4 cm. 

Forty marked clams were placed at a depth of 1 cm 
before one snapping shrimp was added to each bowl in each 
experiment. Nylon window screening (1.2-mm mesh) was 
placed over the top of each bowl and secured by an elastic 
band to ensure that the shrimp remained inside the bowl 
during the course of the experiment. Controls were 
employed to separate all types of shrimp-caused mortality 
from all other sources of mortality. The controls were 
treated identically to the other clams placed in finger 
bowls except they received no snapping shrimp. 

Each tank held nine finger bowls and in experiments 
where more than one tank was used, treatment and control 
bowls were randomly assigned to tanks. The nylon tops 
were cleaned daily using hands to brush away accumulated 
silt; the bowls were not removed from the tanks. Snapping 
shrimp were removed from each bowl and the contents 
of the bowls were sieved through 1-mm mesh after one week. 
Recovered clams were separated into three categories: 
living, dead (empty, undamaged shells), or dead (crushed). 

Table 1 shows the experimental interval, the number of 
replicate Alpheus spp. used, and the number of controls 
for each experiment. Experiments A through C were 
designed to test whether A. heterochaelis could crush and 
consume juvenile hard clams. The same two snapping shrimp 
were used in both experiments A and B. Replication was 
increased in experiments D and E because of the large 
variability in crushing rates of the snapping shrimp. 

The major chela (MC) of each snapping shrimp was 
measured from the distal end of the dactylus longitudinally 
to the proximal end of the propodus, and total body length 
(TL) was measured from the rostrum to the telson after 
every experiment. These two morphological traits were 



measured to test whether the relationship between size 
of the MC and TL differed between sexes of large specimens 
of A. heterochaelis and between species of smaller snapping 
shrimp. In addition, I tested whether predation rate was 
related to either morphological trait. 

TABLE 1. 

The experimental interval, number of Alpheus, and 
number of controls for each experiment. 









Number of Alpheus 


Number of 


Experiment 


Dates 




spp. treatments 


Controls 


A 


18 June to : 


25 June 


2 (A. heterochaelis) 


2 


B 


25 June to 


2 July 


2 (.4. heterochaelis) 


2 


C 


26 June to 


3 July 


4 (A. heterochaelis) 


2 


D 


29 June to 


6 July 


14 (A. heterochaelis) 


3 


E 


30 June to 


7 July 


12 (A. heterochaelis) 
8 (A. normanni) 


3 



Four size-classes of juveniles of M. mercenaria (6.0 to 
8.0, 8.1 to 10.0, 10.1 to 15.0, and 15.1 to 20.0 mm in shell 
length [SL, the greatest anterior to posterior measurement] ) 
were used to test if shrimp preferred clams within a certain 
size. Ten clams from each size category were placed in each 
bowl. A total of 20 large specimens of A. heterochaelis 
(mean TL = 34.1 mm ± 2.5 SD) was used in these experi- 
ments. To determine the effects of sex of snapping shrimp 
on predation rate, the nonparametric Wilcoxon two-sample 
test on total number crushed by individual snapping shrimp 
was used. Data from experiments A through D were 
combined because ( 1 ) the time interval for each experiment 
was identical (7 days); (2) there was no apparent effect of 
time on predation rate; and (3) size categories of juvenile 
hard clams, as well as number of clams used within each 
size category, were held constant. Mean total numbers 
crushed by individual shrimp were used from experiments 
A and B because the same shrimp were used in both trials. 
Total counts were used for individual shrimp in experi- 
ments C and D. Morphometric data from experiments A 
through D were combined and the lines expressing TL to 
MC for the 1 1 male snapping shrimp (Y = 2.99 + 0.487X; 
r 2 = 0.74) and 9 female snapping shrimp (Y = 5.03 + 
0.323X; r 2 = 0.69) were compared using multiple regression 
analysis. 

In experiment E, individuals of both species were smaller 
than those specimens of A. heterochaelis used in the 
previous experiments. Twelve specimens of A. heterochaelis 
(mean TL = 23.4 mm ± 2.6 SD) and eight specimens of 
A. normanni (mean TL = 24.0 mm ± 1.9 SD) were used. 
Clams from only two size-classes (4.5—8.0 mm and 8.1— 
10.0 mm) were used because of the small size of these 
snapping shrimp. Twenty clams from each size category 
were placed in each bowl. A Model I 2-way analysis of 
variance (ANOVA) was performed on numbers crushed to 
test the effects of species and sex of snapping shrimp on 



Predation of Juvenile clams by snapping Shrimp 



predation rate. Numbers crushed (Y) were first transformed 
with In (Y + 1 ) and a Bartlett's test (Sokal and Rohlf 
1969) was performed to determine whether the transforma- 
tion helped eliminate variance heterogeneity. Morphometric 
data from male snapping shrimp were pooled with data 
from female shrimp for each species in experiment E to 
determine whether the two species differed in their relation 
between TL and MC for the 1 2 specimens of A. heterochaelis 
(Y = 2.71 + 0.382X; r 2 = 0.37) and the 8 specimens of 
A.normanni{y = 3.55 + 0.493X;r 2 = 0.56). Again, multiple 
regression analysis was used to compare lines. 

Five specimens of A. heterochaelis were placed in 
isopropyl alcohol within 12 hours after feeding to test 
whether shell fragments pass through the cardiac stomachs 
of snapping shrimp. After one hour the cardiac stomach of 
each shrimp was excised and examined. 

Temperature and salinity were monitored daily within 
each tank. Tanks never differed by more than 0.7°C or 
1 ppt S on any given day. The temperature range for the 
entire experimental interval (18 June to 7 July) was 24.3 to 
27.5°C. The salinity range for the same time interval was 
32 to 34 ppt S. 

Four blue crabs, Callinectes sapidus Rathbun (carapace 
widths: 146.9, 136.7, 74.8 and 59.7 mm), were placed in 
separate seawater tanks (25 X 25 X 30 cm) without sedi- 
ment but containing 40 juvenile hard clams (10 from each 
size category used in experiments A through D) to compare 
shell damage inflicted by Alpheus spp. with that described 
for crabs (Venneij 1978). The crabs were used to test 
whether it is possible to correctly assign clam mortality to 
the proper predator on the basis of shell damage. Crabs 
remained in the tanks until at least 50% of the clams had 
been crushed. This took 3 days for the smallest blue crab 
and 3 hours for the largest. 

RESULTS 

Experiments A through D (Table 2) 

No clam mortalities occurred in the control bowls, but 
a total of 77 clam deaths occurred in those bowls containing 
the snapping shrimp A. heterochaelis; in each case a chipped 
or crushed clam shell was recovered. This clearly demon- 
strates that snapping shrimp crush juvenile hard clams; 
furthermore, body tissues were removed from each valve 
indicating that the clams were eaten. 

I observed a female of A. heterochaelis (35.2-mm TL) 
crush and consume a juvenile hard clam (~ 8.0-mm SL) in a 
small finger bowl (10-cm, dia; 5-cm depth) containing no 
shell, other substrate, or other clams. The snapping shrimp 
grasped the clam near the umbo with the minor chelae, then 
lifted the clam several millimeters off the bottom. With 
the dactylus cocked, the snapping shrimp raised its major 
chela so that the clam was wedged (anterior to posterior 
and 2 to 3 mm ventral of the umbo) between the propodus 
and dactylus with its umbo and dorsal margin straight up. 
The dactylus closed quickly fracturing most of the clam, 



leaving only a small portion of the umbo intact. Initially, 
the mantle held the fractured pieces of clam together, but 
after the shrimp used its minor chela to tear the mantle 
from the valve remnants, the small fragments of shell 
became separated. The shrimp then tore off pieces of body 
tissue and used its minor chela and pereiopods in feeding. 
The cardiac stomach of each snapping shrimp examined 
contained shell fragments and, in one case, the painted 
portion of the clam. 

Female snapping shrimp accounted for 92% of all clams 
crushed in experiments A through D; however, this was not 
statistically significant (P = 0.09). Snapping shrimp showed 
a statistical preference for smaller juvenile clams in a chi- 
square (X 2 ) test (X 2 = 34.8. df = 3, P < 0.001); 49% of all 
the clams crushed and consumed belonged to the smallest 
(6.0 to 8.0-mm SL) size-class. Clams were eaten in all 
size-classes including the largest (15.1 to 20.0-mm SL). 

The variances around the straight lines relating TL to 
MC for the 1 1 males and 9 females of A. heterochaelis 
(Figure 1) were not significantly different. The lines were 
parallel (P > 0.75), but not coincident (P < 0.001 in partial 
F-test). Analysis of covariance (ANCOVA) demonstrated 
that, even though females had a greater mean TL (35. 41 mm) 
than males (32.95 mm), males had a larger MC for a given 
TL than females (P < 0.001). Because of the apparent 
effect of sex on predation rate in experiments A through D, 
sexes were not combined when I tested whether predation 
rate could be explained by either morphological trait. No 
significant relationships existed between TL (r . = 0.48, 
n = ll:r 9 = 0.14, n = 9) or size of MC (r d =0.52, n= 11; 
ro = 0.43, n = 9) and predation rate. 

Experiment E (Table 3) 

One 5.6-mm SL clam died in a control bowl as a result 
of natural causes; however, 31 clams died as a result of 
crushing in bowls containing A. heterochaelis and 38 clams 
were crushed in bowls containing A. normanni. All 31 clams 
eaten by specimens of A. heterochaelis in experiment E 
belonged to the smaller size-class (4.5-8.0 mm); none were 
eaten in the larger size-class (8.1-10.0 mm) as were crushed 
and consumed by larger specimens of A. heterochaelis in 
experiments A through D. Similarly, 95% of those clams 
crushed and consumed by A. normanni came from the 
smaller size category. Bartlett's test demonstrated that the 
logarithmic transformation reduced variance heterogeneity 
and the Model I 2-way ANOVA resulted in no species X sex 
interaction (P > 0.50) or effect of species (P > 0.75). The 
15 female snapping shrimp ate 67 of the 69 (97%) clams; 
the remaining 2 crushed clams were eaten by one of the five 
male shrimp. This was not statistically significant (P = 0.065 ). 

The straight lines relating TL to MC (Figure 1 ) from 
experiment E had equal variances (P > 0.05) and were 
parallel (P > 0.75), but not coincident (P < 0.001 in a 
partial F-test). Application of ANCOVA yielded a significant 
difference (P < 0.001) in the adjusted MC lengths between 



BEAL 



TABLE 2. 

Results of Experiments A through D in which Alpheus heterochaelis was exposed for 
7 days to 10 clams in each of four size categories. 





Sex 


TL* 
(mm) 


MCf 

(mm) 


Number Crushed With 


in a Size Category (mm) 


Total Crushed 




Experiment 


6.0-8.0 


8.1-10.0 


10.1-15.0 


15.1-20.0 


Number Mive 


A 


M 


34.8 


20.1 

















40 




F 


38.4 


17.6 


6 


7 


2 


1 


16 


24 




Control 1 





















40 




Control 2 





















40 


B 


M 


34.8 


20.1 


1 











1 


39 




F 


38.4 


17.6 


5 


2 


3 





10 


30 




Control 1 





















40 




Control 2 





















40 


C 


M 


32.4 


18.7 

















40 




M 


34.0 


19.9 

















40 




F 


34.0 


15.9 

















40 




F 


35.2 


16.4 


9 


7 


8 


1 


25 


15 




Control 1 





















40 




Control 2 





















40 


D 


M 


29.9 


17.2 

















40 




M 


30.0 


17.2 

















40 




M 


30.4 


18.0 

















40 




M 


30.9 


19.0 

















40 




M 


34.4 


19.9 


1 











1 


39 




M 


34.6 


19.9 





1 








1 


39 




M 


34.9 


18.5 


2 





1 





3 


37 




M 


35.9 


21.1 

















40 




F 


32.1 


16.2 


4 


1 








5 


35 




F 


33.5 


15.6 

















40 




F 


35.0 


16.3 





1 








1 


39 




F 


35.3 


15.4 


1 











1 


39 




F 


35.8 


16.6 

















40 




F 


39.4 


18.1 


9 


3 


1 





13 


27 




Control 1 





















40 




Control 2 





















40 




Control 3 





















40 


Total number 


of controls 





















360 


Total number 


of males 






4 


1 


1 





6 


474 


Total number 


of females 






34 


21 


14 


2 


71 


329 



*TL = total body length 
fMC = length of major chela 

species. Alpheus heterochaelis in the size range 19.1 to 
27.2 mm had a larger MC for a given TL than A. normanni 
There was no significant (P > 0.05) relationship between 
either TL (r = -0.24, n = 12) or length of MC (r = -0.05, 
n = 12) and number of clams crushed by A. heterochaelis; 
however, predation rate was significantly (P < 0.05) corre- 
lated for TL (r = 0.76, n = 8) and MC size (r = 0.77, n = 8) 
for A normanni. 

Effect of Sex on Predation Rate 

Fischer's technique of combining probabilities from 
independent tests of significance (Sokal and Rohlf 1969) 
was applied to test the effect of sex of snapping shrimp on 
predation rate from all experiments. This test resulted in a 



significant (P = 0.04) overall effect of sex implying that 
females had a greater crushing rate over all experiments. 
The effect of sex in experiment E included information 
from both species; however, because there was no species X 
sex interaction, this test was justified over all experiments. 
The size distributions of males and females used in all 
experiments were compared because size of snapping shrimp 
may influence predation rate. Size of snapping shrimp was 
statistically independent of sex (X 2 = 9.38;df =6;P=0.195) 
over all experiments. 

Shell Damage Inflicted by Snapping Shrimp (Figure 2) and Blue Crabs 

Two types of shell damage caused by snapping shrimp 
were distinguished by visual inspection. In the first (Type I) 



Predation of Juvenile Clams by Snapping Shrimp 



20 



E 
E 

CD 



O 

E 



cr 

CD 



° a A. normanni 
t <■ A. heterochaelis 



15 



10 





20 



25 30 

Total length (in mm) 



35 



40 



Figure 1. Relationships between total body length (TL) and size of major chela (MC) for snapping shrimp used in all experiments. Capital 
letters refer to experiment. Open circles: Alpheus normanni; closed circles: Alpheus heterochaelis. 



at least one of the valves remained intact. Shell chips or 
fractures were restricted along the posterior edge and often 
both valves had symmetrical chips. Where both valves were 
not chipped identically, one valve was chipped along the 
posterior edge while damage to the other valve ranged from 
restricted ventral margin fractures to an extensively broken 
valve having only the umbo region intact. Valves exhibiting 
damage of the second type (Type II) had been completely 
crushed and only the immediate area around the umbo 
was left intact and held together by the hinge ligament 
(Figure 2). 

To learn if shell damage inflicted by snapping shrimp 
and blue crabs was distinguishable, crushed shells from 
experiments A through D and from the blue crab experi- 
ment were collected and separated by size-class into damage 
types. Both predators caused Type I and Type II damage in 
each size-class. Sixty clams were crushed by A. hetero- 
chaelis in the size range 6.0 to 10.0 mm; 92% exhibited 
Type II damage, whereas 53% of the crushed clams between 
10.1 and 20.0 mm exhibited Type I damage. Type II damage 
occurred in 70% of the juvenile hard clams (6.0 to 10.0 mm 
SL) crushed by blue crabs, whereas 8% of the crushed clams 
between 10.1 and 20.0 mm suffered Type I damage from 
blue crabs. 



DISCUSSION 

Experiments A through E demonstrate that two species 
of snapping shrimp, A. heterochaelis and A. normanni, can 
crush and consume juveniles of M. mercenaria and can also 
discriminate between sizes of prey when offered a choice. 
It is sometimes difficult to relate laboratory experiments 
to field experiments because the number of variables 
permitted to vary in each is different (Dayton and Oliver 
1981); however, two observations from my caging study in 
the field suggested that snapping shrimp do indeed prey on 
juvenile hard clams (6.0 to 15.0 mm SL) in nature. Snapping 
shrimp were found inside complete 1 m 2 cages (6.4-mm 
mesh; see Beal [1983] for a detailed cage description) 
designed to keep large, epibenthic predators from preying 
on juvenile hard clams (Beal, unpublished data). When the 
contents of these cages were sieved in November 1981 and 
in April 1982, I found live clams as well as shell fragments 
which were identical in appearance to those clams crushed 
and consumed by Alpheus spp. in this study. No other 
predators or signs of predators were observed inside 
complete cages. 

Female snapping shrimp exhibited a higher predation 
rate than did males over all experiments; however, the 
mechanism for this behavior was not investigated. Elner and 



BEAL 



TABLE 3. 



Results of Experiment E in which Alpheus heterochaelis and Alpheus normanni 
were exposed for 7 days to 20 clams in each of two size categories. 



Species 



Sex 



TL* 

(mm) 



MCf 

(mm) 



Number Crushed Within a Size Category (mm) 



4.5-8.0 



8.1-10.0 



Total Crushed 



Number Alive 



Alpheus heterochaelis 


M 


21.4 


10.0 







M 


25.4 


13.7 







M 


26.9 


12.4 


2 


Total males 








2 




F 


19.1 


10.7 


5 




F 


20.3 


9.1 







F 


20.8 


11.2 


10 




F 


22.9 


12.7 







F 


23.2 


12.5 


3 




F 


23.5 


11.5 


3 




F 


24.2 


9.5 


2 




F 


25.6 


14.2 


2 




F 


26.9 


12.1 


4 


Total females 








29 


Total A. heterochaelis 






31 


Alpheus normanni 


M 


22.5 


7.2 







M 


23.4 


7.6 





Total males 













F 


21.6 


8.1 


7 




F 


23.1 


7.8 







F 


23.4 


7.6 







F 


23.8 


8.3 







F 


26.1 


8.1 


13 




F 


27.2 


11.1 


16 


Total females 








36 


Total A. normanni 








36 


Control 1 








1 


Control 2 











Control 3 











*TL = total body length 










f MC = length of major chela 

































1 

1 

2 
2 










40 





40 


2 


38 


2 


118 


5 


35 





40 


10 


30 





40 


3 


37 


3 


37 


2 


38 


2 


38 


4 


36 


29 


331 


31 


449 





40 





40 





80 


7 


33 





40 





40 





40 


14 


26 


17 


23 


38 


202 


38 


282 





39 





40 





40 



Hughes (1978) examined the diet of the shore crab Carcinus 
maenus (Linnaeus) and, to avoid potential biases caused by 
sexual differences in morphology and predatory behavior, 
used only male crabs. Here both sexes were used and, at 
least for larger specimens of Alpheus heterochaelis, females 
had a smaller major chela than did males of a similar body 
length. Because the major chela is used in crushing juvenile 
hard clams, males should have had the highest predatory 
rate. Ennis (1973) found a difference in the feeding activity 
between sexes of the American lobster Homants americanus 
Milne Edwards; females continued to feed at a higher level 
longer into the winter than did males. Ennis (1973) 
suggested that this may have been caused by greater physio- 
logical demands on the female due to gonadal development. 
If an energetic explanation were true for snapping shrimp, 
similar experiments using females with developing versus 
developed gonads or, perhaps, immature (juvenile) versus 
mature females as well as males would be needed. 



Accounts of snapping shrimp as predators are rare. 
Hazlett (1962) determined that a species of Alpheus from 
Bermuda was omnivorous. Goldberg (1971) studied a species 
of Synalpheus in the Florida Keys which preyed upon the 
gastropod Coralliophila caribaea Abbott without crushing 
it. The shrimp lifted the flexible operculum with its major 
chela exposing the gastropod while the minor chela tore 
off pieces of the foot. I am unaware of any account of 
predation by either A. heterochaelis or A. normanni on a 
bivalve mollusc. 

Previous investigations concerning the role that the major 
chela plays in the behavior and ecology of these snapping 
shrimp suggest that it is used agonistically during intra- 
and interspecific interactions (Nolan and Salmon 1970, 
Schein 1977). Conover and Miller (1978) described the 
importance of the major chela in determining the success 
of a shrimp in competing for shelter. Glynn (1976) described 
a species of snapping shrimp off the Pacific coast of Panama 



Predation of Juvenile Clams by snapping shrimp 




Figure 2. The size range of the five size-classes of juvenile hard clams and the shell damage caused by Alpheus heterochaelis from experi- 
ment A through E. Damage in the smaller size-classes was similar for both species. Each tick mark represents 1 mm. 



8 



BEAL 



which repulsed the crown-of-thorns sea star and prevented 
it from preying on a branching coral. In this study the 
major chela of A. heterochaelis (29.9 to 39.4 mm TL) was 
smaller in females compared with equal size males. Nolan 
and Salmon (1970) noted this sexual dimorphism in both 
species. They showed that when a female approached a 
larger male, she was threatened and quickly retreated 
because of aggressive male snapping; if the TL of a female 
was greater than that of the male she approached, the 
encounter would continue until cues important in sexual 
discrimination could be exchanged. 

Whetstone and Eversole( 1978) investigated the predators 
of juvenile hard clams in a South Carolina sound. They 
collected 13 species of crustaceans from sub tidal and 
intertidal trays containing juvenile hard clams over a 19- 
month interval and examined their gut contents. They 
concluded, on the basis of shell fragments in the cardiac 
stomachs (as well as overall numbers collected), that the 
xanthid crab Panopeus herbstii Milne Edwards (1,465 
collected from May 1975 through December 1976) was the 
most important predator of juvenile hard clams. Alpheus 
heterochaelis was the second most abundant crustacean 
found by Whetstone and Eversole ( 1 84 collected during that 
same time interval); nine specimens of A. normanni were 
also collected during that study. Whetstone and Eversole 
(1978) found no shell fragments in either species of Alpheus 
they examined and, on this basis, concluded that snapping 
shrimp were not hard clam predators; however, shell frag- 
ments were found in the cardiac stomachs of every snapping 
shrimp I examined. There may be several reasons why shell 
fragments were found in the cardiac stomachs of the 
snapping shrimp from this study and not in Whetstone and 
Eversole's (1978) investigation: 

1. The snapping shrimp they collected may not have 
crushed any juvenile hard clams; Whetstone and 
Eversole (1978) used hard clams with a mean SL 
of 13 mm (however, 19% of the hard clams con- 
sumed in my experiments A through D were 10.1 
to 15.0 mm SL [Table!]); 

2. The snapping shrimp may have been collected or 
preserved after evacuation of the cardiac stomachs 
had occurred; or 

3. The shell fragments may have dissolved in the 10% 
formalin solution they used as a preservative. 

The results presented in this paper suggest that Alpheus spp. 
may be an important predator of juveniles (< 20.0 mm SL) 
of M. mercenaria in South Carolina sounds. 

I have seen or heard snapping shrimp in a variety of areas 
in Bogue, Back, and Core sounds in North Carolina. These 
areas have several aspects in common. They either have 
muddy substrates with natural shelters such as living or dead 
oysters, or seagrass beds. Nolan and Salmon (1970) collected 
both species near Beaufort among clumps of oyster shells, 
as well as in eelgrass beds. Alpheus heterochaelis was more 



often found in muddy areas associated with clumps of 
oysters; A. normanni was found primarily in eelgrass beds. 
Hoff Stuart (National Marine Fisheries Service, Beaufort, 
NC, pers. comm.) found a mean of 6.1 adults of A. normanni 
and 1.1 adults of A heterochaelis (TL > 20.0 mm) per m 2 
in a Back Sound eelgrass bed during 1975—1976. The mean 
number of clams consumed per snapping shrimp per day in 
my laboratory experiments was 0.72. This figure is indica- 
tive of clams < 15.0 mm SL because only two clams were 
consumed that were > 15.0 mm SL. Thus, if that rate is 
representative of their hard clam predation in nature, 
snapping shrimp of this size in that eelgrass bed may con- 
sume approximately 125 clams (4.5 to 15.0 mm SL) per 
m 2 per month. 

The type of shell damage inflicted by these snapping 
shrimp is typical of crabs (Vermeij 1978). Cake (1970) 
found that C. sapidus could open large specimens of the 
sunray venus clam Macrocallista nimbosa (Lightfoot) 
without breaking their shells by "inserting the finger and 
cutting the adductor muscles." That type of shell damage 
by Callinectes, which leaves behind minute scars of cheliped 
activity on the periostracum, was not observed in this study; 
in fact, both snapping shrimp and blue crabs inflict similar 
types of shell damage. The entire clam is either broken into 
bits leaving only the umbo region, or is marginally damaged 
with chips occurring around the posterior edge of at least 
one valve. According to the results of this study, past 
investigations in which clam mortalities were assigned a 
particular crushing predator based on shell damage may 
have overestimated the importance of crab predation and 
underestimated or ignored the importance of predation by 
snapping shrimp. Furthermore, commercial clam cultunsts 
need to be concerned about protecting seed clams from 
snapping shrimp as well as from crabs and other predators. 
The spatial distribution and abundance of the bottom- 
dwelling snapping shrimp, as well as their natural predation 
rates on small hard clams, must be determined to fully 
assess the importance of these findings. 

ACKNOWLEDGMENTS 

I am indebted to G. W. Safrit, Jr., who provided many 
of the snapping shrimp used in the laboratory experiments. 
K. Bowers, M. E. Colby and S. Smith assisted in the field 
and laboratory. R. J. Beal also helped in the laboratory. 
H. J. Porter aided in describing types of shell damage. 
H. E. Page took the photographs and V. Page prepared the 
figure. H. Stuart supplied density data from his dissertation 
work. F. J. Schwartz provided computer funds and S. R. 
Fegley dissected the snapping shrimp. Additionally, I thank 
W. G. Ambrose, Jr., D. R. Colby, P. B. Duncan. S. R. 
Fegley, C. H. Peterson, M. C. Watzin, and an anonymous 
reviewer for helpful suggestions on earlier drafts of this 
manuscript. 



Predation of Juvenile Clams by Snapping Shrimp 



D. R. Colby, P. B. Duncan, S. R. Fegley, and C. H. 
Peterson assisted with experimental design, statistical 
analyses, and writing. 

Financial support was provided by the Curriculum in 
Marine Sciences. University of North Carolina, Chapel 



Hill, NC, and the Institute of Marine Sciences, Morehead 
City, NC. Support was also provided by the Office of Sea 
Grant, NOAA, U.S. Department of Commerce under 
Grant No. NA81AA-D-0026, North Carolina Depart- 
ment of Administration to C. H. Peterson. 



REFERENCES CITED 



Beal, B. F. 1983. Effects of environment, intraspecific density, 
predation by snapping shrimp and other consumers on the popu- 
lation biology of Mercenaria mercenaria near Beaufort, North 
Carolina. Chapel Hill, NC: Univ. of North Carolina. 181 p. Thesis. 

Cake, E. W., Jr. 1970. Some predator-prey relationships involving 
the sunray venus clam, Macrocallista nimbosa (Lightfoot) 
(Pelecypoda: Veneridae), along the Gulf coast of Florida. 
Tallahassee. FL: Florida State Univ. 166 p. Thesis. 

Carriker. M. R. 1951. Observations on the penetration of tightly 
closing bivalves by Busycon and other predators. Ecology 
32:73-83. 

. 1961. Interrelation of functional morphology, behavior, 

and autecology in the early stages of the bivalve Mercenaria 
mercenaria. J. Elisha Mitchell Sci. Soc. 77:168-241. 

Castagna, M. & J. N. Kraeuter. 1977. Mercenaria culture using 
stone aggregate for predator protection. Proc. Natl. Shellfish. 
Assoc. 67:1-6. 

Conover, M. R. & D. E. Miller. 1978. The importance of the large 
chela in the territorial and pairing behavior of the snapping 
shrimp, Alpheus heterochaelis. Mar. Behav. Physiol. 5:185-192. 

Dayton, P. K. & J. S. Oliver. 1981. An evaluation of experimental 
analyses of population and community patterns in benthic 
marine environments. Tenore, K. R. and B. C. Coull. eds. Marine 
Benthic Dynamics. Columbia, SC: Univ. of South Carolina 
Press, p. 93-120. 

Elner, R. W. & R. N. Hughes. 1978. Energy maximization in the 
diet of the shore crab, Carcinus maenas. J. Anim. Ecol. 47 : 
103-116. 

Ennis, G. P. 1973. Food, feeding, and condition of lobsters. Homarus 
americanus. throughout the seasonal cycle in Bonavista Bay. 
Newfoundland./ Fish. Res. Board Can. 30:1905-1909. 

Glynn, P. W. 1976. Some physical and biological determinants of 
coral community structure in the Eastern Pacific. Ecol. Monogr. 
46:431-456. 

Goldberg, W. M. 1971. A note on the feeding behavior of the 
snapping shrimp Synalpheus fritzmuelleri Coutiere (Decapod: 
Alpheidae). Crustaceana (Leiden) 21:318-320. 

Goodwin, W. F. 1968. The growth and survival of planted clams, 
Mercenaria mercenaria, on the Georgia Coast. Ga. Game Fish 
Comm.. Mar. Fish. Div., Contrib. Ser. No. 9:1-16. 

Greene, G. T. 1978. Population structure, growth and mortality of 



hard clams at selected locations in Great South Bay. New York. 

Stony Brook, NY: State Univ. of New York. 199 p. Thesis. 
Hazlett, B. A. 1962. Aspects of the biology of snapping shrimp 

(Alpheus and Synalpheus). Crustaceana (Leiden) 4:82-83. 
Hunt, J. H. 1981. The importance of adult-larval interactions in 

determining abundance patterns of soft-sediment infauna. 

Chapel Hill, NC: Univ. of North Carolina. 59 p. Thesis. 
Landers, W. S. 1954. Notes on the predation of the hard clam, Venus 

mercenaria, by the mud CTab.Neopanope taxana. Ecology 35:422. 
Loosanoff, V. L. 1959. Condylostoma-zn enemy of bivalve larvae. 

Science 129:147. 
Mackenzie. C. L., Jr. 1977. Predation on hard clam (Mercenaria 

mercenaria) populations. Trans. Am. Fish. Soc. 106:530-537. 
Menzel. R. W. 1970. The species and distribution of quahog clams 

Mercenaria. Proc. Natl. Shellfish. Assoc. 60:8 (abstract). 
, E. W. Cake, M. L. Haines. R. E. Martin & L. A. Olsen. 

1976. Clam mariculture in northwest Florida: field study on 

predation. Proc. Natl. Shellfish. Assoc. 65:59-62. 
Menzel, R. W. & H. W. Sims. 1964. Experimental farming of hard 

clams, Mercenaria mercenaria. in Florida. Proc. Natl. Shellfish. 

Assoc. 53:103-109. 
Nolan, B. A. & M. Salmon. 1970. The behavior and ecology of 

snapping shrimp (Crustacea: Alpheus heterochelis and Alpheus 

normanni). Forma Functio 2:289-335. 
Peterson. C. H. 1982. Clam predation by whelks (Busycon spp.): 

Experimental tests of the importance of prey size, prey density 

and seagrass cover. Mar. Biol. (Berl.) 66:159-170. 
Schein, H. 1977. The role of snapping in Alpheus heterocliaelis Say, 

1818, the big-clawed snapping shrimp. Crustaceana (Leiden) 

33:183-188. 
Sokal, R. R. & F. J. Rohlf. 1969. Biometry: The Principles and 

Practice of Statistics in Biological Research. San Francisco, CA: 

W. H. Freeman and Co. 
Street, M. 1982. Trends in North Carolina's commercial fisheries, 

1965-1981. NC Dep. Nat. Resour., Comm. Dev. Div. Mar. Fish. 

17 p. 
Vermeij. G. J. 1978. Biogeography and Adaptation: Patterns of 

Marine Life. Cambridge, MA: Harvard Univ. Press. 
Whetstone, J. M. & A. G. Eversole. 1978. Predation on hard clams. 

Mercenaria mercenaria . by mud crabs, Panopeus herbstii. Proc. 

Natl. Shellfish. Assoc. 68:42-48. 



Journal of Shellfish Research, Vol. 3, No. 1, 11-17, 1983. 

SEASONAL GONADAL DEVELOPMENT OF YOUNG LABORATORY-SPAWNED 

SOUTHERN {MERCENARIA CAMPECHIENSIS) AND NORTHERN 

(MERCENARIA MERCENARIA ) QUAHOGS AND THEIR 

RECIPROCAL HYBRIDS IN NORTHWEST FLORIDA 

RODNEY DALTON 1 AND WINSTON MENZEL 

Department of Oceanography 
Florida State University 
Tallahassee, Florida 32306 

ABSTRACT The seasonal gonadal development of laboratory-spawned southern and northern quahogs and their recipro- 
cal hybrids was investigated. All young clams were males and one or more stages of gametogenic activity were seen each 
month of the year. Winter spawning, which occurred in all pedigrees of quahogs, was considered abnormal and resulted 
from the unusually warm winter of 1 9 74- 7 5. Gonadal development of the hybrid 9 Mercenaria campechiensis 
X 6 Mercenaria mercenaria was similar to its southern parent; the reciprocal hybrid was similar to its northern parent. 
This may indicate maternal influence. Little or no spawning by M. campechiensis during warmer months was unlike that of 
the other three pedigrees. Temperature was the overall controlling factor in gonadal development and spawning, but 
genetic differences existed between the two species. 

KEY WORDS Genetics, gametogenesis, hybridization, hard clams, quahogs, Mercenaria spp. 



INTRODUCTION 

The seasonal gonadal development of the northern 
quahog clam Mercenaria mercenaria (Linne) has been studied 
from the New England area (Loosanoff 1937a.b), from 
Delaware Bay (Keck et al. 1975), from North Carolina 
(Porter 1964), and from South Carolina (Eversole et al. 
1980). A closely related species, the southern quahog 
Mercenaria campechiensis (Gmelin). hydridizes readily with 
the northern quahog (Loosanoff 1954) and the hybrids are 
fertile (Menzel and Menzel 1965, Menzel 1968), hut the 
reproductive cycles of neither the southern nor the hybrids 
have been investigated. The present study is of the seasonal 
gonadal cycles of young, laboratory-spawned northern and 
southern quahogs and their reciprocal hybrids cultured in 
northwestern Florida. The results are compared with 
published reports from other areas. 

MATERIALS AND METHODS 

Southern quahogs, previously collected in the vicinity of 
Florida State University (FSU) Marine Laboratory, north- 
western Florida, were spawned by Dr. Charles Epifanio at 
the University of Delaware Center for Mariculture Research 
on 2 April 1974. Wild northern quahogs from Delaware Bay 
were also spawned. Besides making self-fertilizations of 
each species, reciprocal hybrids between the species were 
produced. The larvae were cultured to metamorphosis and 
grown to a size of 1 to 2 mm before shipment to Florida in 
late June 1 974. The clams were reared to a size of 4 to 8 mm 
at the FSU Marine Laboratory. On 4 October 1974, they 
were planted in 10-cm deep, sandfilled, screen-covered 



Present address: National Marine Fisheries Service, 9450 Roger 
Blvd., St. Petersburg, FL 33702 



wooden boxes in Alligator Harbor, about 8 km from the 
laboratory. At mean low water 4 to 5 cm of water covered 
the clams. 

Ten clams of each pedigree were sampled on the 5th 
(± 1 day) of each month from 6 November 1974 through 
5 November 1975, and additional samples were taken on 
the 20th (± 1 day) in December 1974, and in September 
and October 1975. The total sample included 660 clams 
from which 6,000+ follicles were microscopically examined. 
After February 1975, the stock of the hybrid 9 Mercenaria 
mercenaria X 6 Mercenaria campechiensis was depleted, 
primarily from crab predation. Additional clams of the 
same pedigree, planted as surplus in the same area, were 
sampled from May 1975 until the stock became exhausted 
by August 1975. 

Shucked clams were preserved in Bouin's fixative, trans- 
ferred to alcohol, imbedded in Paraplast®, sectioned at 
8 nm, mounted on slides, and stained with Erlich's hemo- 
toxylin and erosin following standard histological proce- 
dures. Previous examinations showed that transverse mid- 
longitudinal sections gave a good representation of the 
gonad condition. All follicles in the most representative of 
8 to 10 sections of each clam were used to determine 
gonadal condition. 

Determination of gonadal condition followed that of 
Ropes (1968) as modified by Haines (1976). As noted by 
Loosanoff (1937a). different follicles within the same clam 
and different clams within the same population were often 
in several stages of gonadal development. The gonadal stages 
are not illustrated because they have been reported pre- 
viously by Loosanoff (1937a), Porter (1964), Keck et al. 
(1975), and Eversole et al. (1980). Brief descriptions of 
each stage follow. 



11 



12 



Dalton and Menzel 



Indifferent or Spent 

The lumen of the indifferent or spent follicles are usually 
conspicuously empty, although a few residual spermatozoa 
may be present (in spent follicles) and a few scattered 
spermatogonia occur around the membranes of the other- 
wise bare follicles. 

Early to Late Active 

Follicles in the early active stage are undergoing primary 
and secondary spermatogenesis, with a nearly continuous 
layer of cells forming around the follicle membrane. Later, 
the lumen fills with basophilic spermatids and a few sperma- 
togonia occur near the periphery. Early and late active 
stages were recorded separately but are presented as active 
stage only. 

Ripe 

The ripe phase is easily distinguished by a dense mass of 
spermatozoa, filling the follicles. Other types of gameto- 
genic cells may be present, but are not abundant. 

Partially Spent 

Partially spent follicles contain spermatozoa within the 
lumen of the follicle but these are substantially less abun- 
dant than in the ripe stage. 

Percentages of each gonadal stage for each pedigree at 
each sampling were graphed and the mean percentages of 
each stage of each pedigree were calculated and graphed 
to emphasize the similarities and differences between the 
four pedigrees. The first samples (November 1974) were 
not included in the mean calculations because no clams 
were mature enough to spawn and the results would be 
biased. Additionally, because of the smaller amount of data 
for the hybrid 9 Mercenaria mercenaria X d Mercenaria 
campechiensis, comparative data were recalculated using 
only samples collected in November 1974-February 1975, 
and May-August 1975. 

Water temperatures were taken at time of sampling at 
depths of 20 to 30 cm. These infrequent observations were 
supplemented with minimum and maximum air tempera- 
tures (mean of 6-day intervals) from local climatological 
data recorded at Apalachicola, FL (NOAA 1974a, 1975a). 
Although Apalachicola is about 50 km from Alligator 
Harbor, that coastal location has the same latitude and is 
considered representative for this study. 

In April 1976, when the clams were two years old, the 
remaining 19 southern, 4 northern and 11 hybrids 
(9 Mercenaria campechiensis X 6 Mercenaria mercenaria) 
were recovered and their sex was determined by the smear 
technique. 

RESULTS 

Both of the species and the hybrids were predominantly 
male. Two clams (0.3%) showed evidence of oogenesis. 
The follicles were in the early active stage, but no clams 



were observed with ripe female follicles. Occasionally, a few 
early stage female gamete cells occurred in otherwise male 
follicles, indicating a possibility for hermaphroditism. Game- 
togenesis had commenced by the first examination in Novem- 
ber 1974, when the quahogs were seven months old, but 
only 2 to 4 follicles were seen per histological section. Later, 
the number of follicles increased to 15 to 20 per section. 
Gametogenesis in one or more stages were seen throughout 
the entire period in all the samples and pedigrees. Differences 
in the seasonal occurrence and relative overall abundance of 
each stage occurred in each pedigree. A discussion of the 
seasonal occurrence of each gonadal stage and probable 
times of spawnings are given for each pedigree. 

Southern Quahog, Mercenaria campechiensis 

Indifferent or spent follicles were present in all the 
samples of the southern quahog (Figure 1 ) and were in the 
largest mean percentage, 54% (Figure 2A). Active stages 
were also seen in all the samples except that taken 5 April, 
but occurred in low percentages in December, May, and 
June, with values of 10, 5, and 6%, respectively (Figure 1). 
The mean percentage for the entire period was 23% 
(Figure 2A). The percentages of ripe stage follicles were 
highest in both samples taken in December (47% and 40%) 
and in January (43%). This stage decreased in February 
(10%), March (14%), and April (6%), and none or very low 
percentages occurred through the 20 September sample 
(6%). Ripe follicles were found in the remaining samples 
(9-14%) (Figure 1). The mean for the entire period was 
13% (Figure 2 A). Partially spent stages were first seen in 
the sample taken 20 December (9%) and continued in 
relatively high percentages through the 5 April period 
(10—32%). This stage decreased by the May sample (6%) 
and was low until the following fall, increasing to 17% on 
5 October (Figure 1 ). The mean was 10% (Figure 2A). 

Spawning, as indicated by comparison of ripe and 
partially spent stages, commenced after the 5 December 
sample and continued until 5 April, with a probable peak in 
March. Little or no spawning occurred during the summer 
months, but spawning commenced again after 5 September. 

Northern Quahog, Mercenaria mercenaiia 

Indifferent or spent follicles were present in all samples 
of Mercenaria mercenaria (Figure 1) but in considerably 
less abundance (X = 28%) than for the southern species 
(Figure 2A). Active stage follicles were also present in all 
samples (X = 58%) and in greater abundance than the 
southern species (Figure 2A). Ripe follicles occurred in all 
sampling periods, except the first on 6 November and 
those on 5 May and 20 September (Figure 1 ) (X = 10%) 
(Figure 2A). Partially spent follicles were seen in the samples 
taken 5 and 20 December, but not again until 5 March, 
when the highest percentage occurred (13%). This stage 
occurred on all the other sampling dates except that taken 
on 5 May (Figure 1 ). The mean was 4% (Figure 2A). 



Gonadal Di vi lopmtNt oi young Quahogs 



13 



Mercenaria campechiensis 



Mercenaria mercenaria 





DJFMAMJJAS ON 



N D JFMAMJJA S N 



^Mercenaria campechiensis 

X 
^Mercenaria mercenaria 




N D JFMAMJJA S 



CH Indifferent/Spent 
ES3 Active 






^Mercenaria mercenaria 

X 
dMercernaria campechiensis 




ON N D J F 

Months 
Ripe 
] Partially Spent 







m 



nAAA/ 

M J J A 



Figure 1. Reproductive cycles of southern and northern quahogs and their hybrids (660 total) shown as the percentage of 
follicles (males only) in each gonadal stage (period from 6 November 1974 through 5 November 1975). 



14 



Dalton and Menzel 





ru- 










60- 






50- 






c 


40- 






0) 

o 

w 

0. 


30- 








20- 




1 






10- 











Mc 






Mm 9Mc x cfMm 

Indifferent/Spent ^SB Ripe 

C*3*l Active r^x^l Partially Spent 



Mm 



9Mc x cfMm 9Mm x cfMc 



Figure 2. Mean percentages of follicle stages in southern (Mc) and northern (Mn) quahogs and their hybrids. (A) December 1974-November 
1975: southern, northern and 9 southern X d northern. (B) December 1974-Februaiy 1975 and May-August 1975: southern, northern 
and reciprocal hybrids. 



The data for ripe and partially spent follicles indicate 
that spawning started by 5 December, but ceased from 
20 December until after the 5 February sample. A peak of 
spawning occurred between 5 February and 5 May, with a 
probable high in March. Spawning resumed after 5 May and 
continued throughout the balance of the sampling period; 
a probable secondary peak occurred in September. 

Hybrid, 9 Mercenaria campechiensis X d Mercenaria mercenaria 

The sequences of follicle development stages in the hybrid 
9 Mercenaria campechienses X 6 Mercenaria mercenaria are 
similar to the southern quahog parent. Indifferent or spent 
stages were found in all the samples (Figure 1 ) and. as in 
M. campechienses, had the highest mean (58%) (Figure 2 A). 
Active follicle stages were also present in all the samples, 
ranging from a high of 54% on 20 December to lows of 
17% in April, June, and July (Figure 1 ); the mean for the 
entire period was 27% (Figure 2A). This hybrid was the 
only pedigree that had ripe follicles (21%) on the first 
sampling (6 November 1974). The highest percentages of 
the ripe stage occurred on 5 January (34%) and on 5 March 
(269! ). Ripe follicles were not seen in the 5 April samples 
but were observed in varying percentages for the balance of 
the sampling dates (Figure 1 ). The mean of the ripe follicles 
was 10%' (Figure 2 A). Partially spent stages were first seen 
20 December and continued through the 5 March sample; 
none occurred on 5 April. This stage occurred in low 
percentages for the balance of the period, except for none 
on 20 December (Figure 1 ). The mean was 5% (Figure 2A). 

The data indicate that spawning commenced after 
5 December and continued through March. The absence of 
both ripe and partially spent stages in the 5 April sample 



indicates a peak of spawning in March. Spawning resumed 
after 5 April and continued throughout the balance of the 
examinations, with probable peaks in May-July and again 
in September. 

Hybrid, 9 Mercenaria mercenaria X d Mercenaria campechiensis 

Unfortunately data for the hybrid 9 Mercenaria 
mercenaria X d Mercenaria campechiensis are incomplete, 
but those obtained show the sequences of follicle develop- 
ment to be similar to the northern quahog. Indifferent or 
spent stages were present in all the samples and ranged from 
a high of 40%' on 5 June to a low of 5% on 5 December 
(Figure 1) (X= 23%, Figure 2B). Ripe follicles (4%) first 
seen on 5 December, increased to a high of 26%' on 5 Janu- 
ary, and were found on all the other dates for which data 
are available; another high (28%) occurred on 5 July 
(Figure 1). The mean for the entire period was 15% 
(Figure 2B). Partially spent follicles were first observed on 
20 December and were seen in all the other samples, except 
that on 5 May (Figure 1 );X= 7% (Figure 2B). 

Spawning commenced after 5 December and continued 
to at least 5 February. The absence of partially spent 
follicles on 5 May indicates that a peak of spawning occurred 
prior to this date. Spawning continued after 5 May to at 
least 5 August, the last date sampled. 

Sex could be determined for only 15 of the 34 two-year- 
old clams collected in April 1976. Of these clams. 13 were 
males and 2 were females (2 of 4 northern sampled). 

DISCUSSION 

This is the first study of the seasonal gonadal develop- 
ment of the southern quahog Mercenaria campechiensis and 



Gonadal Development of Young quahogs 



15 



its hybrids with the northern species Mercenaria mercenaria, 
with a comparison of laboratory-spawned clams of known 
age grown in the semitropical area of northern Florida. This 
study is not as thorough as those from more northern 
latitudes because observations were made for only one year 
and of male clams only. The spawnings that occurred in 
the winter period were undoubtedly atypical and are 
discussed in more detail below. 

Loosanoff (1937a) found that quahogs have a protandric 
development; almost all clams (98%) developed first as 
males, but eventually achieved an equal sex ratio as older 
clams. Eversole et al. (1980) also found a preponderance of 
males to females (9.5:1) in young quahogs and a 1:1 sex 
ratio in older animals. Our study confirms the protandric 
development in northern quahogs and documents the same 
type of development in the southern species and its hybrids. 
The samples of 2-year-old clams revealed that sex reversal 
to female was occurring, even though the sampling was 
very small. Large clams of both species and hybrids that 
were used in our spawning experiments over the past 20 
years usually had a 1 : 1 sex ratio. 

Only 2 to 4 follicles were present in the first sample 
(6 November 1974) and were localized near the stomach 
ventral of the pericardial sinus. This was the same location 
reported by Loosanoff (1937a), but he found 6 to 8 
follicles in clams of approximately the same size and 
probably of lesser age. The slighter gonadal development of 
quahogs grown in Florida was surprising, especially as growth 
rates have been reported to be greater than in more northern 
areas (Menzel 1961, 1962. 1977). One possible explanation 
is that the animals were laboratory reared and cultured in 
the natural habitat for only one month when first examined. 
Growth has always been less under our laboratory condi- 
tions than when planted in the open waters. Enough food 
may have been available for shell growth but not enough 
for gonadal development. Sastry (1966) stated that the bay 
scallop Argopecten irradians (Lamarck) "requires large 
amounts of food for gonad growth." Loosanoff and Davis 
(1950) found that Crassostrea virginica (Gmelin) did not 
mature sexually with poor glycogen reserve. 

Figures 1 and 2, especially 2, show a usually low per- 
centage of the partially spent stage in all the pedigrees. 
This probably indicates that once spawning is initiated in 
ripe clams, it is completed in a short period of time. If 
partially spent follicles occur for only a brief period, 
errors may have been made in deducing times of spawning, 
which were based on comparisons of ripe and partially 
spent clams at each examination (1 month inmost instances). 

Spawning throughout the year in marine invertebrates 
occurs most commonly in areas where there is little seasonal 
change, such as the tropics, polar regions, and deep sea 
(Goodbody 1965, Sanders and Hessler 1969). Northwestern 
Florida is subtropical, but warmer than normal tempera- 
tures occurred during the winter of 1975-75. Northern 
Florida experiences periods of air temperatures below 



freezing and water temperatures below 10°C;water tempera- 
tures in January-February 1958—61 were as low as 6 to 9°C 
(Menzel 1961). The lowest water temperature during the 
winter of 1974-75 was 1 1.5°C in early December and air 
temperatures at Apalachicola never dropped below freezing 
(Figure 3). Extended periods occurred during the winter 
of 1974—75 when air temperatures were above 20°C in 
December-February (Figure 3). Those periods coincided 
with minus spring tides of -5 to -40 cm during the hours 
of 0730—1700 (National Oceanic and Atmospheric Admin- 
istration, 1974b, 1975b). We have repeatedly observed in 
our laboratory that when alternating thermal stimulation is 
used to induce spawning, quahogs initiate spawning on the 
decreasing temperatures. Also, males usually spawn before 
females. The male quahogs in the boxes may, therefore, 
have been warmed to the critical spawning temperatures 
during the minus tides on warm days and stimulated to 
spawn when covered by the cooler incoming water at 
flood tide. 

All quahog pedigrees had ripe follicles during winter 
months. This is consistent with other observations. Chestnut 
(195 1) found that Mercenaria mercenaria often reach sexual 
maturity by mid-winter in North Carolina. Our thermal- 
induced laboratory spawning of both sexes has been most 
successful during the winter months. Winter spawnings are 
unusual in northern Florida. All wild quahogs have been 
found subtidally; a few may be uncovered by low tides of 
> —30 cm. Even if winter spawning does occur, it is unlikely 
that the gametes/larvae would survive in the relatively cold 
water. A larger percentage of the follicles may have been in 
the ripe condition during the winter months if normal 
temperatures had prevented spawning. 

Reproductive cycles in marine invertebrates vary with the 
latitude and modifications have been associated with differ- 
ences in temperature regimes (Orton 1920. Nelson 1928, 
Thorson 1950, Loosanoff and Nomejko 1951, Sastry and 
Blake 1971). The northern quahog ranges from Canada 
southward on the Atlantic coast and throughout the 
northern Gulf of Mexico (Abbot 1974) and thus experiences 
a wide range of temperatures. The spawning periods of the 
northern quahog have been documented for the areas 
ranging from Long Island Sound to South Carolina and now 
for northern Florida. The spawning periods in Florida, 
disregarding the winter spawning, showed bimodal spawning 
peaks in the spring and fall similar to that observed in the 
Carolinas (Porter 1964, Eversole et al. 1980); however, 
spawning began about a month (March) earlier and extended 
about a month (October) later than in the Carolinas. These 
northern clams were the progeny of clams native to Delaware 
Bay, where there is a single peak of spawning (Keck et al. 
1975), similar to Long Island Sound (Loosanoff 1937b). 
Peak spawnings by southern and northern quahogs and the 
reciprocal hybrids were essentially the same. 

We noted that percentages of indifferent/spent and active 
stages of gonadal activity of the southern species and the 



16 



Dalton and Menzel 



35 
30 
25 



o 


20 


0> 




k- 




3 




♦" 




O 


15 


a> 




Q. 




E 




a> 

f- 


10 



5- 




(MAX) 



(MIN) 



1974 



1975 



Figure 3. Water temperatures (heavy line) at Alligator Harbor and maximum and minimum air temperatures (mean of 6-day intervals) at 
Apalachicola, Florida. 



hybrid 9 Mercenaria campechiensis X 6 Mercenaria 
mercenaria were very similar; whereas, the northern and the 
other hybrid were similar. Menzel (1962) has reported that 
hybrid quahogs in Florida grew faster than their northern 
parents and were more like the faster growing southern 
parent. The hybrid 9 M. campechiensis X 6 M. mercenaria 
had a slightly better growth rate than the reciprocal hybrid 
indicating the possibility of maternal influence. 

It would be interesting to determine the seasonal gonadal 
development of females of both species and hybrids in 
Florida. Previous observations in our laboratory have shown 
that it is virtually impossible to induce summer spawning of 
females of any pedigree after about March-April when the 
ambient water temperatures exceed 22 to 24°C. Active 
sperm appear in suspensions but few ripe ova occur in clams 
during the warmer months. Successful female spawnings 
have been induced during periods from October-March with 



no temperature conditioning. The seasonal gonadal 
development, therefore, may be different for female 
quahogs than reported here for young males. 

Also, it would be interesting to determine if quahogs of 
both species follow the pattern of gametogensis of the 
endemic population when transplanted to a colder latitude. 
Such observations might be difficult because the southern 
quahog and the hybrids lack a tolerance to low tempera- 
tures (Chestnut et al. 1956, Haven and Andrews 1956, 
Menzel 1977). Whether the northern quahog, native to 
warmer areas, would survive in cold winter regions is not 
known. Belding (1912) reported 70 years ago that tempera- 
ture is the controlling factor in quahog spawning. Based 
on the data of all the investigations, we believe that both 
species and the hybrids will have generally similar gamete 
development and spawning, regardless of their origin, 
within a specific area. 



Gonadal Development of Young Quahogs 



17 



REFERENCES CITED 



Abbott, R. T. 1974. American Seashells. New York, NY: Van 

Reinhold Company. 2nd edition. 663 p. 
Belding, D. L. 1912. A report upon the quahog and oyster fisheries 

of Massachusetts, including the life history, growth and cultiva- 
tion of the quahog (Venus mercenaria), and observations on the 

set of oyster spat in Well Fleet Bay, Boston. Boston, MA: Wright 

and Potter Print Co. 134 p. (Reissued: 1964. Mass. Dep. Nat. 

Resour. Div. Mar. Fish., Contrib. 12:134 p.) 
Chestnut, A. F. 1951. The oyster and other mollusks in North 

Carolina. Taylor, H.F., ed., Survey of Marine Fisheries of North 

Carolina. Chapel Hill, NC: Univ. N.C. Press; 141-190. 
, W. E. Fahy & H. J. Porter. 1956. Growth of young Venus 

mercenaria. Venus campechiensis, and their hybrids. Proc. Natl. 

Shellfish. Assoc. 47:50-56. 
Eversole, A. G., W. K. Michener & P. J. Eldridge. 1980. Reproductive 

cycle of Mercenaria mercenaria in a South Carolina estuary. Proc. 

Natl. Shellfish. Assoc. 70:22-30. 
Goodbody, I. 1965. Continuous breeding in populations of tropical 

crustaceans, Mysidium columbiae (Zimmer) and Emerita portori- 

censis (Schmidt). Ecology 46:195-197. 
Haines, M. L. 1976. The reproductive cycle of the sunray venus 

clam, Macrocallista nimbosa (Lightfoot, 1786). Proc. Natl. 

Shellfish. Assoc. 66:6-12. 
Haven, D. & J. D. Andrews. 1956. Survival and growth of Venus 

mercenaria, Venus campechiensis, and their hybrids in suspended 

trays and on natural bottoms. Proc. Natl. Shellfish. Assoc. 

47:43-49. 
Keck, R. T., D. Maurer & C. H. Lind. 1975. A comparative study of 

the hard clam gonad developmental cycle. Biol. Bull. (Woods 

Hole) 148:243-258. 
Loosanoff, V. L. 1937a. Development of the primary gonad and 

sexual phases in Venus mercenaria Linnaeus. Biol. Bull. (Woods 

Hole) 72:389-405. 
. 1937b. Seasonal gonadal changes of adult clams, Venus 

mercenaria (L.). Biol. Bull. (Woods Hole) 72:406-416. 
. 1954. New advances in the study of bivalve larvae. A m. Sci. 

43:607-624. 
& H. C. Davis. 1950. Conditioning Venus mercenaria for 



spawning in winter and breeding its larvae in the laboratory. Biol. 
Bull. (Woods Hole) 98:60-65. 
Loosanoff, V. L. &C. A. Nomejko. 1951. Existence of physiologically 
different races of oyster, Crassostrea virginica. Biol. Bull. (Woods 
Hole) 101:151-156. 



Menzel, R. W. 1961. Seasonal growth of the northern quahog, 
Mercenaria mercenaria and the southern quahog,M campechiensis, 
in Alligator Harbor, Florida. Proc. Natl. Shellfish. Assoc. 52: 
37-46. 

. 1962. Seasonal growth of the northern and southern 

quahogs, Mercenaria mercenaria and M. campechiensis, and their 
hybrids in Florida. Proc. Natl. Shellfish. Assoc. 53:111-119. 

. 1968. Cytotaxonomy of species of clams (Mercenaria) 

and oysters (Crassostrea). Symp. Mollusca, Mar. Biol. Assoc. 
India. Part 1:75-84. 

. 1977. Selection and hybridization in quahog clams 



(Mercenaria spp.). Proc. World Maricult. Soc. 8:507-521. 
& M. Y. Menzel. 1965. Chromosomes of two species of 



quahogs and their hybrids. Biol. Bull. (Woods Hole) 129: 

181-188. 
Nelson, T. C. 1928. On the critical temperatures for the spawning 

and for ciliary activity in bivalve molluscs. Science 67:220-221. 
National Oceanic and Atmospheric Administration. 1974a. Climato- 

logical Data, Florida. U.S. Dept. Commerce. 78. 
. 1974b. Tide Tables, East Coast of North and South 

America. U.S. Dept. Commerce. 
. 1975a. Climatological Data, Florida. U.S. Dept. Com- 



merce. 79. 

. 1975b. Tide Tables, East Coast of North and South 



America. U.S. Dept. Commerce. 
Orton, J. H. 1920. Sea temperature, breeding and distribution in 

marine animals. J. Mar. Biol. Assoc. U.K. 12:339-366. 
Porter, H. J. 1964. Seasonal gonadal changes of adult clams, 

Mercenaria mercenaria (L.) inNorth Carolina. Proc. Natl. Shellfish. 

Assoc. 55:35-5 2. 
Ropes, J. W. 1968. Reproductive cycle of the surf clam, Spisula 

solidissima. in offshore New Jersey. Biol. Bull. (Woods Hole) 

135:349-365. 
Sanders, H. L. & R. R. Hessler. 1969. Ecology of the deepsea 

benthos. Science 163:1419-1424. 
Sastry, A. N. 1966. Temperature effects in reproduction of the bay 

scallop, Aequipecten irradians Lamarck. Biol. Bull. (Woods 

Hole) 130:118-134. 
& N. J. Blake. 1971. Regulation of gonad development 

in the bay scallop, Aequipecten irradians Lamarck. Biol. Bull. 

(Woods Hole) 140:274-283. 
Thorson, G. 1950. Reproductive and larval ecology of marine 

bottom invertebrates. Biol. Rev. Camb. Philos. Soc. 25:1-45. 



Journal of Shellfish Research, Vol. 3, No. 1, 19-27, 1983. 



EXPERIMENTAL PLANTINGS OF JUVENILES OF THE HARD CLAM 

MERCENARIA MERCENARIA (LINNE) IN THE WATERS OF 

LONG ISLAND, NEW YORK 1 



PAUL J. FLAGG AND ROBERT E. MALOUF 

Marine Sciences Research Center 
Stare University of New York 
Stony Brook, New York 11794 

ABSTRACT Planting of hatchery-reared seed of the hard clam Mercenaria mercenaria is a significant management tool 
in town-managed shellfisheries of New York. In the present study, seed planting techniques developed elsewhere were 
tested in New York waters. The objectives were to determine how seed survival was influenced by ( 1) seed size at the time 
of planting; (2) the presence, absence, and type of gravel aggregate; (3) the season planted; and (4) site selection. Site 
characteristics, particularly the types and abundance of predators present, were found to influence the results so strongly 
that general recommendations cannot be made. Mud crabs (Neopanope sayi [Smith] ) and whelks (Busy con carica [Gmelin] 
and B. canaliculatum [Linne]) were the most damaging predators at the sites tested. Gravel aggregate did not provide 
adequate protection for planted clams, and the use of large (25-mm) gravel appeared to have a negative impact on seed 
survival. Survival exceeded 10% only among clams that were at least 20 mm in length at planting; however, mortalities 
as high as 100% resulted from plantings of such seed (23 mm) at sites having significant populations of whelks. 

KEY WORDS: Hard clams, Mercenaria mercenaria, seed planting, predation 



INTRODUCTION 

The hard clam (or northern quahog) Mercenaria 
mercenaria (Linne) is the object of New York's most 
important shellfishery, accounting in recent years for 
about 50% of the total value of fishery products landed in 
the state (McHugh and Ginter 1978). Long Island's Great 
South Bay is the single most important producer of hard 
clams in the world. This 24,282-ha (60,000-acre) bay has 
historically produced about 90% of the New York harvest 
and 45% of the total United States harvest of hard clams. 
Since 1977, New York landings of hard clams have declined 
dramatically. For example, the 1976 reported Great South 
Bay landings were 24,684 m 3 (700,465 bu), but by 1981, 
the landings had dropped to 10,758 m 3 (305,287 bu) 
(National Marine Fisheries Service, Patchogue, NY, unpub- 
lished fishery statistics, 1982). 

Although stock assessment data are incomplete, declining 
harvests are perceived by many local fishery managers to 
represent a real drop in standing stocks (J. Kassner, Town 
of Brookhaven, NY, and Pieter Van Volkenburgh, NY Dept. 
Environm. Conserv., Stony Brook. NY, pers. comm.). Local 
management agencies, primarily the townships, have 
responded to declining landings by instituting programs 
intended to supplement natural hard clam reproduction. 
Among the most popular programs are those that involve 
the planting of seed clams. Nine Long Island townships, 
including all three of the townships that border Great South 
Bay. have carried out some type of seed clam planting 
program. Their efforts have ranged from trial plantings of a 



Contribution No. 378 of the Marine Sciences Research Center, 
State University of New York (SUNY) at Stony Brook. 



few thousand seed to annual plantings in excess of 1 million 
seed. Seed are purchased from a commercial hatchery, 
held in some type of nursery system, and eventually broad- 
cast onto the bay bottom without any protection. Nursery 
systems used include shore-based raceways and ponds, 
rafts, and gravel beds. The size of the seed at the time of 
release to the public fishery generally ranges from about 
8 to 25 mm in shell length. 

There are no published studies of seed clam plantings in 
New York waters. In fact, some doubt has been expressed 
that the seed planting programs can possibly be of sufficient 
scale to significantly impact the fishery (McHugh 1981). 
The early work of Haven and Andrews (1957) showed that 
seed clams require some type of protection to ensure survival. 
Similarly, Menzel and Sims ( 1964) reported that seed clams 
planted in Florida required protection or had to be at least 
12 mm in shell length to avoid very heavy predation losses. 
Castagna (1970) demonstrated that gravel aggregate helped 
prevent the loss of seed clams. Castagna and Kraeuter ( 1977) 
and Kraeuter and Castagna (1977) recommended the use of 
aggregate as part of a culture system that included baffles 
and fences. Their work and the work of Menzel et al. 
(1976) suggested that the use of stone aggregate alone 
affords planted seed clams some protection from predators. 
The use of stone aggregate would be particularly attractive 
for the extensive nursery plots that are required for large 
public fisheries because of its relative simplicity and low 
cost; it has been used on a limited basis for that purpose 
(Jeffrey Kassner, Town of Brookhaven, NY. pers. comm.). 

Eldridge et al. (1979) made the following recommenda- 
tions based on several years of seed clam planting in South 
Carolina: (1) select a physically suitable habitat, one that 



19 



20 



Flagg and Malouf 



is free, for example, from extreme wave action; (2) cover 
the planting area with shell or stone aggregate; (3) plant 
seed clams in the fall when temperatures are 15 to 18°C; 
(4) plant seed of 12 to 15 mm shell length at a density of 
300 m 2 ; and (5) harvest in the early summer of the second 
year. The authors pointed out that uncontrolled variables 
contribute to the uncertainty of such a planting as a private 
venture; however, they reported approximately 77% annual 
survival of 16- to 17-mm seed and 95% annual survival of 
21- to 22-mm seed planted in this manner. Later work by 
Whetstone and Eversole (1981) also reinforced the case 
for fall plantings by demonstrating in laboratory studies 
that the activity of an important hard clam predator, the 
common mud crab Panopeus herbstii H. Milne-Edwards, 
was significantly reduced at temperatures below 17°C. 

The present study was part of an effort to test and 
refine a number of seed-clam planting techniques that 
have been developed elsewhere. The intention was to 
evaluate recommended planting procedures for possible 
application to a large public clam fishery. Specifically, the 
objectives were to determine in New York waters how the 
survival of three sizes of planted seed clams was affected: 
(1) by the size and shape of aggregate and sand substrate 
(Experiment I); (2) by the time (season) they were planted 
and recovered (Experiment II); and, (3) by site specific 
environmental differences within the same general location 
(Experiment III). 

materials and methods 

Experiment I was sited in a shallow cove, separated by a 
sand spit from Eastern Shinnecock Bay, Long Island, NY 
(designated as Site I, Figure 1 ). Mean low water depth at 
the site was approximately 0.5 m, and the tidal range 
averaged about 1.0 m. Sediments within the cove graded 
from coarse sand near the sand bar to soft mud near the 
northern edge of the cove. Eeel grass (Zostera marina 
Linnaeus) was present, but was relatively sparse through 
most of the planting area. A natural population of adults of 
Mercenaria mercenaria existed in the cove prior to our 
planting at a mean density of about 7 clams m" 2 . 

The seven substrates tested in this experiment consisted 
of sand and two shapes of gravel obtained in three sizes. 
The two shapes were (1) mechanically produced, crushed 
gravel having irregular shapes and jagged edges, and (2) 
more rounded, unbroken glacial gravel. Both gravel types 
were obtained in three nominal sizes: 6 to 10, 10 to 19, and 
19 to 32 mm. The gravel was washed through wire screens 
to obtain the approximate size ranges given above. All 
gravel was obtained from Long Island glacial till and was 
washed thoroughly with fresh water during processing. 

Forty-two plastic, food-handling trays (Nestier® "Chill- 
tray 180") measuring 56.5 X 46.4 X 17.8 cm) were lined 
with 2-mm mesh plastic window screen. The trays were 
filled to a depth of approximately 8 cm with 20-mm gravel. 
They were then transported to the site, arranged in a 



6X7 array, and hydraulically sunk (jetted) into the bottom 
so that approximately 3 cm of the tray edges protruded 
above the substrate. A 4-cm layer of one of the seven types 
of substrate was then added to the surface of each tray in a 
randomly generated pattern. 

Three sizes of seed clams used in the experimental 
plantings were obtained from Aquaculture Research Corp., 
Dennis, MA. At the time of planting (23 July 1980), the 
mean shell lengths and standard errors (n = 50) for clams 
of the size groups were 3.9 ± 0.06, 6.8 ± 0.08, and 28.7 ± 
0.23 mm. Planting densities used were 1,241, 477, and 
191 m" 2 for the small, medium, and large seed, respectively. 
Thus, a tray randomly received 325 small, 125 medium, or 
50 large seed. The experimental design included two 
replicate plantings for each treatment. Because there was 
no differentiation of substrate shape for plantings in sand, 
for each clam size there were four replicate plantings in 
sand. Also, because they were in short supply, the largest 
seed clams were only planted in the three sizes of round 
gravel and in sand. 

The planting area was examined weekly to identify and 
count potential clam predators. The experiment was 
terminated on 20-22 October, when water temperatures 
in the area dropped below 10°C. The trays were lifted on 
board a small boat, and all remaining clams were removed 
and counted and their shell lengths were measured to the 
nearest millimeter. Empty shells and shell fragments were 
examined for evidence of predation, and any predators 
recovered with the trays were identified and counted. 

Growth and survival (recovery) data were statistically 
analyzed by analysis of variance ( ANOVA) following Sokal 
and Rohlf (1969). Shell length measurements were used to 
calculate growth in millimeters. 

Experiment II was initiated in the fall of 1980 at two 
locations (designated Sites IIA and IIB, Figure 1) in Eastern 
Long Island. Site IIA was located in Shinnecock Bay 
approximately 30 m east of the previously described site 
of Experiment I. Site IIA had a mean low water depth of 
approximately 0.35 m, and bare sandy sediments. Site IIB 
was located in Napeague Harbor, Long Island. Mean low 
water depth at the site was 1.0 m, and the tidal range was 
0.9 m. Sediment at Site IIB consisted of a 3-cm-deep layer 
of sand over gravel and stones. The area was devoid of eel 
grass and macroalgal detritus. A sparse (< 1 irf 2 ) natural 
population of very large hard clams existed at Site IIB prior 
to our planting. 

Experiment II consisted of two replicate plantings of 
each of three clam sizes in two substrates types (sand and 
1 cm crushed gravel) at two sites and at two planting times. 
The two planting times and ambient water temperatures at 
the two sites were: 30 September 1 980 ( 1 9°C) and 25 Novem- 
ber (8°C) for Site IIA, and 30 September 1980 (17°C) and 
22 November 1980 (8°C) for Site IIB. Seed clams were 
again purchased from Aquaculture Research Corp. Mean 
shell lengths and standard errors (n = 50) for the three size 



Experimental Plantings of mercenaria mercenaria 



21 



CT. 



10 n mi 
-I 
5km 



.«&cP 




ATLANTIC OCEAN 




Shmnecock 
Bay 



meters 

I 1 1 

1000 




ATLANTIC OCEAN 



Nope ague 
Bay 



meters 




ATLANTIC OCEAN 



Figure I. Location of six sites used for experimental plantings of seed clams on the south shore of Long Island, New York. 



22 



FLAGG AND MAI.OUF 



classes in the September planting were 2.8 ± 0.17, 7.1 ± 
0.10, and 22.7 ± 0.15 mm. Rapidly declining ambient water 
temperatures necessitated the planting of the November 
shipment immediately upon receipt. Therefore, although 
hatchery sorting through sieves was identical for the two 
shipments, shell measurements for the November shipment 
were not recorded. Tray handling, seed-planting procedures, 
and planting densities were as in Experiment I. 

The planting sites were inspected regularly for predator 
distribution and abundance. Final sampling of the trays 
was conducted 9 months after the planting date (15— 22 June 
and 23—27 August 1981 for the September and November 
plantings, respectively). Sampling procedures and data 
analysis were as in Experiment I except that no growth 
analyses were included in Experiment II. 

Experiment III consisted of plantings on prepared natural 
bottom without trays. Plantings were carried out at three 
sites (designated as Sites IIIA, IIIB, and IIIC, Figure 1 ) in 
one general location, Napeague Harbor, Long Island. 
Three sizes of seed clams (nominally, 3, 6, and 23 mm in 
length) were planted at each site, with and without gravel, 
during the summer of 1 98 1 . 

Site IIIA was located approximately 40 m east of Site 
IIB, described above. The site had a mean low water depth 
of 1.2 m and a tidal range of 0.9 m, and contained poorly 
sorted sand and gravel sediments. 

Site IIIB, in northeastern Napeague Harbor, had a mean 
low water depth of 0.4 m and a tidal range of 0.9 m. 
Sediments at the site consisted of coarse sand sparsely 
interspersed with rocks. The site was on the edge of an 
approximately 1 ha bare area in an eel grass flat. A dense 
(20 to 50 rrf 2 ) population of small adult hard clams existed 
at the site prior to our planting. 

Site IIIC was located on a large bare sand/mud flat in the 
southwestern part of the harbor. Mean low water depth was 
0.4 m and tidal range was 0.9 m. Hard clams, predominately 
adults plus a few subadults, were moderately abundant 
(5 to 10 irf 2 ) prior to our planting. 

Seed clams were purchased from the same commercial 
source in the same three nominal sizes as used in the pre- 
viously described experiments (2 to 4, 6 to 8, and 22 to 
28 mm length). Each of the three sites consisted of six 
2- X 2-m subsites delineated by 30- wide X 15-cm-deep 
borders of 3-cm gravel. Each of the three seed clam sizes 
were randomly assigned to two subsites. One of the two 
subsites contained existing substrate, while the other 
contained a 2.5-cm-deep layer of 1 .0 cm gravel. On 20 May 
1981, clams were planted at all sites at densities of 1,250, 
675, and 260 m~ 2 for small, medium, and large clams, 
respectively. 

Surveys of predator abundance were conducted prior to 
planting (17-20 May 1981) and were repeated on 26—28 
July and 13—14 September 1981. Sampling areas adjacent 
to each site (30 m 2 in May and July and 15 m 2 in Septem- 
ber) were raked with a clam rake lined with 1.3-cm Vexar®, 



and predators were collected, counted, and measured. Esti- 
mates of the abundance of the more mobile crabs (primarily 
Ovalipes ocellatus [Herbst] ) were subject to error because 
of the animals' mobility and are, therefore, not quantitative. 
Sampling to determine seed clam survival was conducted 
approximately two months after planting (26 July) and 
again at termination (14 September). For purposes of 
sampling, each subsite was divided into four 1 m 2 quadrats 
and each quadrat into nine equal parts (0.1 1 m 2 each). Two 
of the 0.1 1 m 2 areas were randomly selected from each of 
two randomly selected quadrats. A 0.10 m 2 sampling 
square was placed on a selected area, and substrate was 
removed to a depth of 15 cm. After being separated from 
the substrate, surviving clams were counted and returned 
to the sample area. Analysis of survival data was as described 
above. 

RESULTS 

Experiment I 

The most abundant clam predators observed in and 
around the trays following planting were Say's mud crabs 
(Neopanope sayi), calico crabs {Ovalipes ocellatus), 
channeled whelks (Busycon canaliculatwn), and oyster 
drills (Urosalpinx cinerea [Say] and Hupleura caudata [Say] . 
Other potential predators which were less frequently 
observed included blue crabs (Callinectes sapidus Rathbun), 
common mud crabs (Panopeus herbstii), and both winter and 
summer flounders (Pseudopleuronectes americans [Wal- 
baum] and Paralichthys dentatus [Linnaeus]), respectively. 

The abundance of the mud crab N. sayi was positively 
related to increased gravel size (Table 1). Those trays filled 
with 19- to 32-mm gravel contained numerous 0-year-class 
crabs. Up to 10 oyster drills (U. cinerea and E. caudata) 
per tray occurred during the summer, but no drills were 
found in the trays during the autumn sampling. Similarly, 
channeled whelks (B. canaliculatum) were visible at the 
substrate surface, and were most abundant during the 
first month (August) following planting. Few were observed 
later in the summer, and only two were recovered from the 
trays during sampling. 

Survival (recovery ) of planted seed clams was significantly 
influenced by their size at the time of planting (0.01 >?> 
0.001). Mean survival rates for small, medium, and large 
clams were 4.0, 43.1, and 82.5%, respectively. The size of 
the gravel used also significantly affected clam survival 
(0.01 > P > 0.001). Further, the relationship between grain 
size, independent of shape, and clam survival appeared to 
be related to clam size (the interaction was significant; 
P < 0.01 ). The smallest seed clams planted (4 mm) did not 
survive well under any conditions. On the other hand, the 
survival of the 29-mm seed was high and was independent 
of grain size. The influence of grain size on clam survival at 
this site was most evident among the 8-mm seed, which 
showed declining survival with increased grain size (Table 1). 



Experimental Plantings of Mercenaria mercenaria 



23 



The shape of the gravel used had no significant effect 
(P > 0.05) on clam survival. 

TABLE 1. 

Experiment I, percent recovery (22 August - 22 October 1980) 

of three sizes of seed clams planted in three sizes of gravel 

and in sand. Also shown are the total number of mud 

crabs (Neopanope sayi) recovered from trays 

containing the four substrate types. 



Substrate Type 
Length of ■ — ■ — 

Seed at 6 to 10-mm 10 to 19-mm 19 to 32-mm 

Planting Sand Gravel Gravel Gravel Mean 



3.9 mm 
(n = 4) 

7.9 mm 

fn = 4) 

28.8 mm 



14.6 



68.4 



77.0 



1.1 
49.6 
84.0 



0.7 
48.6 
84.0 



0.0 

5.8 

86.0 



4.0 
43.1 
82.5 



Total crabs 
recovered 24.0 
(n= 10) 



36.0 



95.0 



>306 



Final mean shell lengths for the three clam sizes are 
given in Table 2. Effects of substrate size or shape on clam 
growth were not significant for 29-mm seed (P > 0.05). 
High mortality precluded an analysis of growth in the 4-mm 
clams. Increasing substrate size did have a significant nega- 
tive effect on the growth of 8-mm seed (0.01 >P>0.001). 

TABLE 2. 

Experiment I, final mean shell lengths (mm) with 95% 
confidence intervals (n =12, time = 85 days) for two 
sizes of seed clams planted in four types of substrate 



Length of 
Seed at 
Planting 



Substrate Type 



6 to 10-mm 10 to 19-mm 19 to 32-mm 
Gravel Gravel Gravel 



Sand 



3.9 mm * * * 

7.9 mm 15.4 ±2.03 14.0 + 2.21 12.9 ±2.08 
28.8 mm 31.8 ± 1.10 33.4 ±3.05 33.0 ±0.12 



9.5 ±3.84 
31.7 ± 1.48 



'Survival was too low to calculate growth rates. 



Only a few shell fragments, indicative of crab predation, 
were found in the trays containing 4-mm seed. The shells of 
these clams were thin enough to be crushed and consumed 
by feeding crabs (Landers 1954; Whetstone and Eversole 
1978, 1981). Many shell fragments were found in the trays 
containing the 8-mm seed. Laboratory studies indicated 
that clams of this size can be crushed and consumed by 
adult mud crabs, N. sayi (Landers 1954, Whetstone and 
Eversole 1978). Shells of dead clams of the larger (29-mm) 
seed were primarily paired, intact valves. Several shells had 
been cracked, possibly by a large calico crab (O. ocellatus) 
or blue crab (C. sapidus). A few shells had chipped or 
rasped shell margins suggesting predation by whelks, 
Busycon spp. (Carriker 1951, Peterson 1982). 

Oyster toadfish (Opsanus tau [Linnaeus] ) were observed 
burrowed along the outside edges of three of the trays 
throughout the summer and autumn. Three of the four 
trays of 4-mm clams planted in sand had survival rates of 
3.0, 2.4, and 5.0%. The fourth tray, next to which a toadfish 
was burrowed, had a survival rate of 47.3%. Similarly, three 
of the four trays of 8-mm clams planted in 10- to 19-mm 
gravel contained a mean of seven mud crabs per tray and 
had clam survival rates of 48.0, 38.4, and 23.2%. The fourth 
tray, which had a toadfish beside it, contained no mud 
crabs and had a survival rate of 84.0%. A third toadfish was 
found beside a tray containing 29-mm clams. No mud 
crabs were found in this tray, but clam survival in that tray 
(82%) was not appreciably different from the mean for 
clams of that size (82.5%). From these observations, we 
hypothesize that the toadfish reduced the abundance of 
mud crabs and enhanced the survival of those seed sizes 
that were susceptible to mud-crab predation. 



Experiment II 

Predators observed at Site 1IA were essentially the same 
as those listed earlier for nearby Site I. The most abundant 
predators observed at Site IIB included calico crabs (Ovalipes 
ocellatus) and small knobbed whelks {Busycon carica). 
Mud crabs (Neopanope sayi) and small winter flounders 
(Pseudopleuronectes americanus) were present but not 
abundant. 

Significant interactions among the variables tested (size 
of seed planted, location, time of planting, and substrate 
type) indicated that unqualified general statements about 
any single variable cannot be valid (Tables 3 and 4); however, 
by considering some of the variables together, some 
important results may be noted. All of the variables tested 
had significant effects on survival (Table 4). Larger seed 
showed better survival than small seed, particularly at Site 
IIA. The September-to-June period resulted in better 
overall survival than the November-to-August period. 
Gravel was generally a better substrate than sand for the 
larger clams at Site IIA, but it did not appear to provide 
significant survival advantage at Site IIB (Table 3). As in 
Experiment I, mud crab colonization was greater in gravel 
than in sand. 

Experiment III 

Dominant predators observed during Experiment III 
included small (70- to 80-mm length) knobbed whelks 
(Busycon carica), adult (15- to 25-mm carapace width) mud 
crabs (Neopanope sayi), and adult (45-mm carapace width) 
calico crabs (Ovalipes ocellatus). Abundances of the two 
major predator species (B. carica and N. sayi) for which 
reliable counts could be made at Sites I IIA, IIIB, and IIIC 
are given in Table 5 for three observation dates. 



24 



Flagg and Malouf 



TABLE 3. 

Experiment II, percent recovery (time = 9 months) of three sizes of seed clams in replicate plantings 
at two sites in two types of substrate and at two times of the year. 







September Planting 






November Planting 








Site HA 




Site IIB 




Site HA 




Site IIB 


Clam Size 


Sand 


Gravel 


Sand 


Gravel 


Sand 


Gravel 


Sand 


Gravel 


3 mm 


3.6 


0.6 


0.0 


0.3 


0.0 


0.0 


0.0 


0.0 




5.7 


0.9 


0.0 


0.0 


0.0 


0.0 


0.0 


0.0 


Mean 


4.7 


0.8 


0.0 


0.2 


0.0 


0.0 


0.0 


0.0 


7 mm 


6.4 


30.4 


0.8 


4.0 


0.0 


8.8 


0.0 


2.4 




11.2 


16.0 


2.4 


1.6 


0.8 


4.8 


0.0 


0.0 


Mean 


8.8 


23.2 


1.6 


2.8 


0.4 


6.8 


0.0 


1.2 


23 mm 


68.0 


94.0 


24.0 


48.0 


48.0 


50.0 


10.0 


18.0 




68.0 


96.0 


20.0 


42.0 


34.0 


66.0 


26.0 


14.0 


Mean 


68.0 


95.0 


22.0 


45.0 


41.0 


58.0 


18.0 


16.0 






TABLE 4. 








TABLE 5. 







Experiment II, four-way analysis of variance (ANOVA) of 

percent survival of three sizes of seed clams (3, 6, and 

23 mm) planted in two types of substrate (sand and 

gravel) at two locations and at two times of the 

year (September and November). 



Experiment III, abundance of predators (m *) of the two 

numerically dominant predator species, the mud crab 

Neopanope sayi and the knobbed whelk 

Busycon carica. 



Source of Variation 



Mean Square 



d.f. 



F Ratio 



A = substrate type 
B = clam size 
C = time of year 
D = location 

AXB 
AXC 
AXD 
BXC 
BXD 
CXD 
AXBXC 

axbxd 
aXcxd 

BXCXD 

aXbxcxd 

Within 
Total 



377.78 
7,140.01 
1,241.96 
2,244.07 

187.18 

33.60 

48.72 

148.21 

490.22 

217.00 

75.60 

69.87 

7.19 

4.00 

3.93 

13.68 



1 
2 
1 
1 

2 

1 
1 
2 
2 
1 
2 
2 
1 
2 
2 

24 

47 



27.61* 
521.76* 

90.75* 
163.99* 

13.68* 

2.46 n.s. 

3.56 n.s. 
10.83* 
35.82* 
15.86* 

5.52f 

5.11* 

0.53 n.s. 

0.29 n.s. 

0.29 as. 



Sampling Date 



Neopanope sayi 
Site 



HIA IIIB IHC 



Busycon carica 
Site 



HIA IIIB IHC 



20 May 1981 
28 July 1981 
14 September 1981 

Mean 



2.0 0.3 0.0 

2.0 0.0 0.0 

1.0 0.0 0.0 

1.7 0.1 0.0 



2.5 1.0 0.3 

7.0 2.0 8.6 

1.5 1.1 1.2 

3.7 1.4 3.4 



*significant at 0.01 
fsignificant at 0.05 
n.s. = not significant 
B>D>C>A 



In general, survival at Site IIIA was inversely related to 
seed size (Table 6). Overall survival was less than 2% even 
under the best conditions (3-mm seed in gravel). Only one 
of the 6- to 8-mm clams was recovered in July, and by the 
termination date (30 September) no clams of that initial 



size had survived. No larger seed clams were recovered in 
the July sampling. Within a week of planting, empty shells 
appeared on the substrate surface. 

Maximum recovery cf the 2- to 4-mm seed (in gravel) 
was 2.2% at Site IIIB. None of the 6- to 8-mm clams was 
recovered, and crushed and cracked shells appeared in the 
plots within two weeks of planting. Survival of seed planted 
at Site IIIB exceeded 50% only among the 22- to 28-mm seed 
clams. Note also in Table 6 that among the 22- to 28-mm 
seed there appeared to an initial survival advantage to clams 
planted in gravel compared to natural bottom, but by the 
time of the final sampling in September, survival rates were 
very similar in the two substrate types. Chipped shell 
margins and cracked shells indicated predation by whelks 
and crabs. 

At Site IIIC, survival of the small seed in sand, although 
still quite low, was somewhat better than that of the larger 
seed sizes (Table 6). By the end of the experiment none of 



Experimental Plantings of Mercenaria mercenaria 



25 



TABLE 6. 

Experiment III, percent recovery of three sizes of seed clams planted at three sites in two types of substrates. 

Clams were planted 20 May 1981. 



3 mm 



7 mm 



23 mm 



Site 



Site 



Site 



IIIA 



llllt 



IIIC 



Sampling 
Date Sand Gravel Sand Gravel Sand Gravel 



IIIA 



1MB 



IIIC 



IIIA 



IIIB 



IIIC 



Sand Gravel Sand Gravel Sand Gravel Sand Gravel Sand Gravel Sand Gravel 



28 Jul 81 
14 Sep 81 


3.6 
1.5 


11.0 
1.8 


2.0 
1.2 


3.3 

2.2 


10.4 
6.2 


4.5 
4.5 


0.0 
0.0 


0.0 
0.0 


0.0 
0.0 


0.0 
0.0 


0.0 
0.0 


15.0 
0.0 


0.0 
0.0 


0.0 
0.0 


62.0 
58.0 


88.0 
61.0 


1.7 
0.0 


14.8 
5.3 



the 6- to 8-mm clams remained, and a few 23-mm seed 
survived only in gravel (5.3%). Heavy losses of the larger 
seed clams, the chipped or rasped shell margins of articu- 
lated, empty valves remaining in the planting areas, as well 
as the high densities of knobbed whelks (B. carica) at this 
site (Table 5) suggested that predation by whelks was an 
important cause of mortality. 

DISCUSSION 

The results of this study demonstrated that the character- 
istics of a given site, especially the types of predators present, 
had an important influence on the loss and presumed 
mortality of planted seed clams and on the degree of pro- 
tection afforded by recommended culture techniques. For 
example, we found that at sites such as Site IIIA where 
whelks (Busycon eanaliculatum and B. carica) were 
abundant, plantings of 25-mm seed clams suffered complete 
mortality despite the presence of gravel aggregate. At 
sites such as Site IIIB where mud crabs (Neopanope sayi) 
were the dominant predator, the smallest seed clams suffered 
high mortality, while the larger seed showed good survival. 
Clearly, the idea that seed clams having at least a 25-mm 
shell length are relatively immune from most predators 
(Menzel 1971, Eldridge et al. 1979) is valid only when the 
seed is planted at sites lacking significant populations of 
large predators. Existing literature has convincingly shown 
that the activity of some important predators such as mud 
crabs is significantly reduced by lower autumn temperatures 
(Whetstone and Eversole 1981); however, we found that 
autumn plantings eventually suffered the same high mortal- 
ities as the summer plantings, and the choice of planting 
season was inadequate protection against crab predation. 

The use of gravel aggregate at Site I, where the mud 
crab N. sayi was the dominant predator, gave inconsistent 
results in our Experiment I (Table 1). At that site, mortality 
among the smaller clams was complete and was independent 
of the presence or absence of gravel. On the other hand, 
mortality among the larger clams was very low, but it was 
again independent of substrate grain size. The survival of 
the medium size (7.9-mm) seed was inversely related to 
gravel size. The 6- to 10-, 10- to 19-, and 19- to 32-mm 



gravels, all of which are within the size range (10 to 30 mm) 
used by Castagna and Kraeuter(1977), were not consistently 
effective in enhancing seed clam survival (Table 1). Densities 
of the mud crab N. sayi were much higher in gravel beds 
than in the bare sand (Table 1). There is also evidence from 
our data (Table 2) of reduced growth rates among small 
seed clams planted in larger gravel compared to those planted 
in sand or small gravel. 

Gravel may be useful in preventing small clams from 
being carried away by currents, although our work offers 
no direct evidence for this. It is also possible that gravel and 
shell substrates offer more effective protection against 
larger crab species than against relatively smaller species 
such as N. sayi. Size-related differences in the food and 
space utilization of two sympatric xanthid crab species 
(Panopeus herbstii and Eurypanopeus depressus [Smith] ) 
were discussed by McDonald (1982). He noted that the 
larger of the two species (P. herbstii) was prevented by its 
size from entering narrow spaces between living oysters. 
This suggests that the lack of consistent results from seed 
plantings in gravel might be due in part to site-specific 
differences in the relative abundance of large and small 
crabs. 

Previous studies have shown that xanthid mud crabs 
(primarily N. sayi) are the most abundant clam predators in 
Long Island's Great South Bay (MacKenzie 1977). Their 
mean, baywide abundance is about 4.4 crabs m~ 2 . while 
that of Ovalipes ocellatus is about 0.2 crab m~ 2 (WAPORA, 
Inc. 1981). Mud crabs are capable of consuming 1.6 to 5 
small (5- to 10-mm) hard clams each day (Landers 1954. 
MacKenzie 1977). Theoretically, mud crabs in Great South 
Bay could consume up to about 20 seed clams rrf 2 day" 1 . 
At this rate of loss, seed plantings of 200 to 500 clams m~ 2 
would not survive long. Consequently, local seed planting 
efforts that do not somehow protect the young clams 
until they are large enough to avoid mud crab predation 
will probably be unsuccessful. 

Although seed hard clams are readily available from 
commercial hatcheries, their cost is relatively high. Costs 
for 3- to 5-mm seed range from $10 to $15/1,000 at the 
present time (J. Kassner, Town of Brookhaven, NY and 



26 



FLAGG AND Malouf 



S. Buckner. Town of Islip, NY, pers. comm.). Assuming 
that harvested littleneck clams have a dockside value of 
about $70 per bag of 500, then the survival and harvest of 
planted seed (initially costing $12/1,000) must exceed 9% 
of the number planted for the value of the harvest to 
exceed the cost of the seed alone. A typical Long Island 
town program might plant about 2 million seed and could 
require about 6 man-months of handling and planting time. 
If the costs of handling and planting are added to the cost 
of the seed itself, then the survival requirement might 
increase to about 15%. This estimated survival requirement 
is relatively low compared to other estimates for commercial 
culture (40% by Castagna and Kraeuter 1977, 50% by 
Menzel et al. 1976). It should be remembered that our 
estimated survival and harvest requirements are minimum 
values for seed planted in a public fishery. Existing programs 
involve relatively little handling and no maintenance or 
protection after planting on the bay bottom. If the costs 
of a nursery system (rafts, racks, etc.) were added to our 
estimate, the survival requirement for cost effectiveness 
would approach those given above for commercial systems. 
Our essentially unprotected plantings of 3- to 5-mm seed 
clams rarely resulted in survival rates as high as 10%, even in 
short-term experiments. Other work, summarized in Table 7, 
showed similar results with seed of this size. In fact, 0% 



survival was the most commonly encountered result of 
unprotected planting of small seed clams. Even when various 
types of protective measures were employed, mortality 
among small seed clams often exceeded 50% (Table 7). 

The relatively low expected survival rates contribute to 
the problem of scale in these programs (discussed by 
McHugh, 1981). For example, a survival rate of even 15% 
would leave only 300,000 clams available for harvest from a 
planting of 2 million seed. In the very unlikely event that 
all of these clams were harvested, this would yield only 
21 m 3 (600 bu), or about 0.6% of each of the three Great 
South Bay towns' typical annual harvest. In fact, available 
data (Table 7) indicate that survival rates and consequentual 
harvest contributions might be much lower. 

ACKNOWLEDGMENTS 

The authors thank Dr. J. L. McHugh for his critical 
review of the manuscript and Charles DeQuillfeldt for his 
technical assistance during the study. The cooperation of 
Bradden Smith of Shinnecock Tribal Oyster Project, Emil 
Usinger of Blue Points Co., Inc., and the East Hampton 
Town Council is gratefully acknowledged. Support for this 
study was provided by the National Oceanic and Atmos- 
pheric Administration, Office of Sea Grant, through the 
New York Sea Grant Institute. 



TABLE 7. 
Published accounts of some trial plantings of seed clams (Mercenaria mercenaria) on the Atlantic coast of the United States. 



Reference 



Seed Size 

Planted 

(mm) 



Seed Size 

Recovered 

(mm) 



Duration 
(Months) 



Approximate 

Survival 

(%) 



Notes 



Menzel and Sims (1964) 


33-44 


- 


- 


82-95 




33-44 


- 


- 





Godwin (1968) 


18-22 


- 


10 







18-22 


35-37 


10 


50 




18-22 


- 


10 







18-22 


50-52 


10 


51 




18-22 


36-37 


10 


36 


Menzel (1971) 


15-35 


- 


- 


90 


Walne (1974) 


9-13 


17-21 


6 


88 


Eldridgeet al. (1976) 


12-13 


16-25 


4 


64 




16-25 


29-45 


12 


76 


Menzel et al. (1976) 


7-10 


- 


11 


0.6 




7-10 


- 


11 


2.3 




7-10 


- 


11 


10.1 




7-10 


- 


11 


58.6 


Eldridge et al. (1979) 


13 


16-19 


4 


62 




16-19 


46-57 


24 


81 


Castagna and Kraeuter (1977) 


2 


- 


11 


75 


Kraeuter and Castagna (1977) 


2 


- 


11 







2 


17 


11 


1- 3 




2 


17 


11 


10-22 


Kraeuter and Castagna (1980) 


32 


39 


4 


94 




32 


39 


4 


9 



Protection (fence, baited traps) 
No protection 

No protection 

No protection 

No protection 

Protection (wire mesh) 

Protection (wire mesh; loss due to 

"winter-kill") 

Protection (fence, traps) 

Protection (plastic mesh) 

Protection (covered trays) 
Protection (covered trays) 

No protection 
Protection (shell cover) 
Protection (gravel) 
Protection (wire mesh) 

Protection (covered trays) 
Protection (same planting as above) 

Protection (gravel, traps, baffles) 

No protection 
Protection (gravel only) 
Protection (gravel, baffles) 

Protection (pen, gravel, baffles) 
Protection (no pen, with gravel, baffles) 



EXPERIMENTAL PLANTINGS OF MERCENARIA MERCENARIA 



27 



REFERENCES CITED 



Carriker, M. R. 1951. Observations on the penetration of tightly 
closing bivalves by Busycon and other predators. Ecology 
32:73-83. 

Castagna, M. 1970. Field experiments testing the use of aggregate 
covers to protect juvenile clams. Proc. Natl. Shellfish. Assoc. 
60:2 (abstract). 

& J. Kraeuter. 1977. Mercenaria culture using stone aggre- 
gate for predator protection. Proc. Natl. Shellfish. Assoc. 67: 
1-6. 

Etdridge, P. J., A. G. Eversole & J. M. Whetstone. 1979. Compara- 
tive survival and growth rates of hard clams Mercenaria mercen- 
aria, planted in trays subtidally and intertidally at varying 
densities in a South Carolina estuary. Proc. Natl. Shellfish. 
Assoc. 69:30-39. 

Eldridge. P. J., W. Waltz, R. C. Gracy & H. H. Hunt. 1976. Growth 
and mortality rates of hatchery seed c\ams,Mercenaria mercenaria, 
in protected trays in waters of South Carolina. Proc. Natl. Shell- 
fish. Assoc. 66:13-20. 

Godwin, W. F. 1968. The growth and survival of planted clams, 
Mercenaria mercenaria, on the Georgia coast. Georgia Game Fish 
Comm. Mar. Fish. Div. Contrib. Ser. No. 9. 16 p. 

Haven, D. & J. D. Andrews. 1957. Survival and growth of Venus 
mercenaria, Venus campechiensis, and their hybrids in suspended 
trays and on natural bottoms. Proc. Natl. Shellfish. Assoc. 47: 
43-49. 

Kraeuter. J. N. & M. Castagna. 1977. An analysis of gravel, pens, 
crab traps, and current baffles as protection for juvenile hard 
clams (Mercenaria mercenaria). Proc. World Maricult. Soc. 
8:581-592. 

. 1980. Effects of large predators on the field culture of 

the hard clam, Mercenaria mercenaria. U.S. Fish Wildl. Serv. 
Fish. Bull. 78(2):538-540. 

Landers, W. S. 1954. Notes on the predation of the hard clam 
Venus mercenaria by the mud crab. Neopanope texana. Ecology 
35(3):422. 

Mackenzie, C. L. 1977. Predation on hard clam {Mercenaria mercen- 



aria) populations. Trans. Am. Fish. Soc. 106(6):530-537. 
McDonald, J. 1982. Divergent life history patterns in the co-occurring 

intertidal crabs Panopeus herbstii and Eurypanopeus depressus 

(Crustacea: Brachyura: Xanthidae). Mar. Ecol. Prog. Ser. 8: 

173-180. 
McHugh, J. L. 1981. Recent advances in hard clam mariculture. 

J. Shellfish. Res. l(l):51-56. 
& J. J. C. Ginter. 1978. Fisheries. National Oceanic and 

Atmospheric Administration, Marine Ecosystems Analysis 

Program (MESA) New York Bight Atlas Monogr. No. 16. 129 p. 

Available from: NY Sea Grant Inst., Albany, NY. 
MenzeL R. W. 1971. Quahog clams and their possible mariculture. 

Proc. World Maricult. Soc. 2:23-36. 
, E. W. Cake, M. L. Haines. R. E. Martin & L. A. Olsen. 

1976. Clam mariculture in northwest Florida: field study on 

predation. Proc. Natl. Shellfish. Assoc. 65:59-62. 
MenzeL R. W. & H. W. Sims. 1964. Experimental farming of hard 

clams, Mercenaria mercenaria, in Florida. Proc. Natl. Shellfish. 

Assoc. 53:103-109. 
Peterson, C. H. 1982. Clam predation by whelks {Busycon spp.): 

Experimental tests of the importance of prey size, prey density. 

and seagrass cover. Mar. Biol. (Berl.) 66:159-170. 
Sokal, R. R. & F. J. Rohlf. 1969. Biometry. San Franciso, CA: 

W. H. Freeman and Co. 776 p. 
Walne, P. R. 1974. Culture of Bivalve Molluscs, 50 Years' Experience 

at Conwy. Surrey, England: Fishing News (Books) Ltd. 173 p. 
WAPORA, Inc. 1981. Estuarine impact assessment (shellfish 

resources) for the Nassau-Suffolk streamflow augmentation 

alternatives, draft report on existing conditions. Available from: 

U.S. Environ. Protect. Agency, New York. 114 p. 
Whetstone, J. M. & A. G. Eversole. 1978. Predation on hard clams, 

Mercenaria mercenaria, by mud crabs, Panopeus herbstii. Proc. 

Natl. Shellfish. Assoc. 68:42-48. 
. 1981. Effects of size and temperature on mud crab, 

Panopeus herbstii, predation on hard clams, Mercenaria mercen- 
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Journal of Shellfish Research, Vol. 3, No. 1, 29-40, 1983. 



TRANSPORT OF BIVALVE LARVAE IN JAMES RIVER, VIRGINIA 1 



J. D. ANDREWS 

Virginia Institute of Marine Science 
School of Marine Science 
College of William and Mary 
Gloucester Point, Virginia 23062 

ABSTRACT For nearly 100 years, the James River has been the primary source of seed oysters for Virginia. A disease 
caused by Minchinia nelsoni (MSX) killed most oysters in high-salinity waters in the lower river in 1959 and 1960, and 
planting has not been resumed in these areas (Andrews 1983). Large populations of oysters on Hampton Bar and near the 
mouth of the river which served as broodstocks were destroyed. After 1960, setting declined drastically in regularity and 
intensity to about one tenth of that which occurred in the 1950's. Setting patterns suggest two types of seed areas in 
Chesapeake Bay: (1) high freshwater discharge, open or flushing estuaries with light spatfalls that decrease in intensity with 
distance from the river mouth; the James River is a typical example; and (2) low discharge, trap-type estuaries where 
intensive sets are heaviest near the head of the saline sector; examples are the Piankatank and Great Wicomico rivers in 
Virginia. Larval transport systems in the two estuarine types differ in quantity of larvae retained and regularity of spatfalls. 
Hourly plankton samples in the James River during 10 days in 1964 and 1965 revealed regular cyclic abundance of larvae 
with tidal stages. Larvae were 5 to 10 times more numerous during high-tide periods than at low-tide periods. Mostly 
early-stage larvae were distributed randomly throughout vertical columns of water. Larvae of other bivalve species exhibited 
similar distributions and fluctuations in abundance with tidal stages. Patterns of larval distribution were similar for all 
depths at five stations, both in the channel and over oyster beds, during 16 tidal cycles in 1965. Frequent recruitment of 
new larval broods and disappearance of most oyster larvae before ages of 3 to 5 days suggest losses due to physical disper- 
sion and predation. Only when larvae reached advanced umbo stages did they actively select deeper water strata in the 
channel which provided a transport system to carry them upriver. In the 1950's. spatfall occurred every week in the James 
River from 1 July to 1 October each year; since 1960, light, erratic setting has prevailed every year. If one assumes that 
predation, larval ecology, and physical transport systems have not changed, it appears that broodstocks have become 
inadequate, or that larvae were killed by toxic substances. 

KEY WORDS: Molluscs, bivalve larvae, transport, distribution, setting (or spatfall), James River, VA 



INTRODUCTION 

The James River has supplied seed oyster (Crassostrea 
virginica [Gmelin] ) for most private grounds in Chesapeake 
Bay for over 100 years (Andrews 1951, 1955, 1982a). The 
seed area is located in low-salinity waters (< 18 ppt in late 
summer) between the James River Bridge and the Deep 
Water Shoal (Figure 1). The horizontal salinity gradients 
in the James River are steep compared to those of other 
estuaries in Chesapeake Bay; salinity in the upper river 
seed beds ranges from ppt in late winter and spring 
to 10 or 12 ppt in late summer and fall. Consistent annual 
spatfalls of moderate intensity averaged 2.7 surviving spat 
per shell over 17 years from 1944 to 1960 (Andrews 1982a). 
During that period, 90% of surviving spat set on other 
oysters. Two to three million bushels (7.0 to 10.6 X 10 4 M 3 ) 
of seed oysters were harvested annually without depleting 
James River stocks. Oysters in the seed area were stunted 
in growth and storage of glycogen was low; therefore, 
they produced small quantities of spawn; but high-density 
populations were spread over large areas of natural shell 
beds; no management was applied except for limited 
harvesting by hand tongs. Good quality seed oysters with 
many single oysters and small clumps resulted from regular 



Contribution No. 1180, Virginia Institute of Marine Science 



spatfalls and low survival of initial sets (2 to 4% [Andrews 
1949] ). Compared to high-salinity areas along the Atlantic 
coast of North America, those survival rates were high 
(Mackin 1946). 

Two types of seed areas are recognized in Chesapeake 
Bay based primarily on size of drainage areas and amount 
of freshwater discharge (Andrews 1979, 1982b). In the 
category of high-freshwater flow are the Susquehanna. 
Potomac and James rivers, but only the James permits 
recruitment of young oysters with enough regularity and 
intensity to be a seed area. Strong freshwater discharge 
provides the motive force in these estuaries to establish 
strong salinity gradients and a net counterflow of salty 
water upriver in the channel; it also produces high flushing 
rates to discharge the additional fresh water. The other 
category of estuaries, which I call trap-type seed areas 
(Andrews 1979), consists of low-discharge rivers with 
small drainage areas. Two examples of this type seed area 
which have been studied are the St. Marys River (Manning 
and Whaley 1954) for distribution and retention of larvae, 
and the Manokin River (Carter 1967) for circulation 
regimes. Other important seed areas in Chesapeake Bay 
which belong in this trap-type category are the Piankatank 
and Great Wicomico rivers in Virginia, and Broad Creek, a 
branch of the Choptank River in Maryland (Boicourt 1982). 



29 



30 



ANDREWS 



OLD 
CHANNEL 




BURWELL 
BAY 



Figure 1. Map of James River seed area from Hampton Roads to last upriver seed bed at Deep Water Shoal. Sampling stations 
and associated oyster beds are designated in kilometers from mouth of the river. 



Transport of bivalve Larvae 



31 



The oyster setting patterns in these high-flushing and 
trap-type estuaries reflect differences in circulation patterns 
that result in dispersion or retention of larvae. The James 
River is the only flushing-type estuary in Chesapeake Bay 
with adequate spatfall to be a seed area. Spatfall was con- 
sistent annually, but from low to moderate in intensity; it 
exhibited a gradient of declining setting intensity from the 
mouth to upriver areas (Andrews 1982a). The gradient of 
setting was reversed in trap-type estuaries with highest 
spatfalls on the upriver beds (Manning and Whaley 1954, 
Andrew's data in Haven et al. 1978). For comparison, 
setting was consistent in intensity and regular by years in 
the James River; but intensity was much higher in trap-type 
estuaries and quite irregular by years with frequent failures. 
There was no change in the patterns of spatfall in trap-type 
estuaries following introduction of the disease caused by 
Minchinia nehoni (MSX) to Chesapeake Bay in 1959 
(Andrews and Wood 1967); but in the James River there 
was a severe reduction in setting intensity and spatfall 
became erratic in distribution (Haven et al. 1978). All 
seed areas in Chesapeake Bay are in low-salinity (< 20 ppt) 
waters and usually not subject to MSX infections and 
mortalities; broodstocks were greatly reduced in the lower 
James River by MSX, but they were not in the trap-type 
seed areas which are located upbay and lay mostly above 
the endemic area for the disease. 

The geography and morphology of the two types of 
estuaries are probably significant factors with respect to 
dispersion and retention of larvae (Andrews 1979). The 
James River has a wide, deep channel, bordered by wide, 
shallow flats where oyster beds are located; it has few 
tributaries and limited marsh areas adjacent to the oyster- 
growing sector. The trap-type seed areas have meandering 
channels, numerous projecting points, very shallow flats, 
and many tributary creeks. Reduction and deflection of 
currents by boundary effects and morphometry in these 
tortuous estuaries probably aid in retention of larvae. The 
Great Wicomico River is an excellent example of the 
morphology of a trap-type estuary with its characteristics 
of infrequent but intensive spatfalls. Over 30 years, failures 
have been more frequent than successes in the Virginia 
trap-type rivers (Haven et al. 1978). 

The first study of larval transport in Chesapeake Bay was 
conducted in the James River in 1950 by the Virginia 
Fisheries Laboratory and the Chesapeake Bay Institute (CB1) 
(Pritchard 1953). An intensive study of physical and 
chemical hydrology was conducted by CBI (Pritchard 
1952, 1955). Concurrently, bivalve larvae were sampled 
bi-hourly by Virginia biologists at three stations across the 
river at the Wreck Shoal (J 17) level (Andrews 1982c). 
Wreck Shoal is the largest and most productive oyster bed 
in the James River. The last period of sampling, from 
30 August to 3 September, coincided with peak setting of 
oysters in that year with 40 spat per shellface per week on 
four replicate shell strings that were suspended off the 



bottom at Wreck Shoal (Andrews 195 1 ). Larvae were scarce 
at all stations and all sampling depths (3 depths in channel, 

2 over beds). Primarily, straight-hinge larvae of less than 

3 days of age were found, and many samples had no oyster 
larvae. Advanced larvae were encountered only rarely even 
when volume of plankton samples was increased from 100 
to 500 C (Andrews 1982c). Preliminary data on larval 
densities were presented by Pritchard (1953) who calculated 
that only one mature larva per 100 C was needed to produce 
the observed spatfall. No conclusions were reached about 
distribution systems for larvae and for their retention in the 
seed area. 

The studies of Manning and Whaley (1954) in St. Marys 
River, Maryland, a trap-type estuary, were far more conclu- 
sive because advanced larvae were abundant and they 
moved upriver with wind-induced currents. Larvae in all 
stages were found and often 100 or more late-umbo larvae 
in 100-C samples. Densities of advanced stage larvae were 
much higher in deeper waters in the channel with peak 
counts of 900 late-umbo larvae per 100-2 sample. Manning 
and Whaley concluded that wind-induced convection 
currents moved surface waters landward in the lower-river 
sector with downriver flow in bottom layers. The typical 
characteristics of trap-type seed areas with tortuous geog- 
raphy and most intensive spatfalls near the head of the 
estuary are illustrated in Figure 1 of Manning and Whaley 
(1954). 

Carter (1967) conducted a physical study of hydrography 
of Manokin River on the Eastern Shore of Maryland using 
point release of dye to simulate physical dispersal of 
larvae. His conclusions were similar to those of Manning 
and Whaley (1954) that wind-induced convection currents 
carried larvae upstream. Freshwater discharge was almost 
negligible as in St. Marys River. Although the Manokin 
River is not a seed area, it could be according to Carter if 
enough brood oysters were planted in the lower river. 
Seliger and Boggs (1983 ) examined the physical hydrography 
of the Choptank River and its tributaries; they confirmed 
the physical regimes of trap-type estuaries but provided 
little information on larval biology from limited sampling, 
except that larvae were most abundant at the heads of 
saline river systems (creeks) where setting is known to be 
highest (Meritt 1977). More detailed studies of circulation 
in tributary creeks of the Choptank River were made by 
Boicourt (1982). 

Mechanisms of transport and setting of planktonic larvae 
in other estuaries are discussed by Ketchum (1954) in 
general, by Korringa (1952) for oysters in the Oosterschelde 
(Holland), and by Carriker (1951), Nelson (1957) and 
Haskin (1964) for oysters in New Jersey coastal bays and 
Delaware Bay. There is considerable literature on upstream 
movements of fish and crustaceans (e.g., Sulkin 1981), but 
larvae and juveniles of these groups make more positive 
responses to favorable strata and currents than do bivalve 
larvae. The most important bivalve larval studies of open 



32 



ANDREWS 



systems such as James River are those of Kunkle(1958) and 
Hidu and Haskin (1971) along the Cape May shore in 
Delaware Bay. In 1964—1965, mature and eyed-larvae were 
abundant in 200-C samples collected by the latter authors 
with 160-/im mesh plankton nets, and setting was intense. 
This area consistently had intense spatfalls (Nelson 1959), 
often far higher than any place in Chesapeake Bay. Delaware 
Bay is similar to James River in physical characteristics, 
but it has lower freshwater discharge than does Chesapeake 
Bay (Boicourt 1982). It has a tidal range of nearly 2 m, 
which is twice that of Chesapeake Bay (x = 0.72 m). Tidal- 
and wind-induced mixing in this wide, shallow bay, as in the 
James River, prevent much vertical density stratification 
in summer. By Pritchard's (1955) criteria for circulation 
regimes, both estuaries are type C in summer with lateral 
mixing; because of decreased river discharge and wide, 
shallow basins, salt balance is maintained by circular flow 
(Pritchard 1956). 

This report describes the patterns of larval transport in 
the James River and compares transport of larvae in the 
two types of estuaries. During 22 years (1946 to 1967) of 
intensive monitoring of spatfall in James River, the final 
distributions of larvae were determined (Andrews 1951, 
1955, 1982a), but how they became distributed throughout 
the seed area is still obscure. The importance of large 
broodstock populations was shown after 1960, when setting 
rates declined to less than one-tenth the 1950's level; 
this followed cessation of private oyster planting in the 
lower river (Haven et al 1978, Andrews 1982a). High 
mortalities caused by MSX prohibited use of James River 
seed oysters in high-salinity waters of the lower river 
(Andrews 1983). Scarcity of oyster larvae during the 1960's, 
particularly of advanced stages, made studies of larval 
ecology difficult. Descriptions of the two types of seed 
areas are based primarily on patterns of spatfall that 
indicated wide differences in retention of larvae. Larval 
studies have not been made in trap-type estuaries in Virginia. 
Dye studies conducted in a physical model of James River 
at Vicksburg, Mississippi, suggested the probable extent of 
larval dispersion if transport were passive (Hargis 1966). 
Only field data collected in James River when sampling was 
most intensive in 1964 and 1965 are reported here. Data 
for earlier larval studies in James River are reported by 
Andrews (1982c). Some physical data collected during the 
8 days of plankton samplingin the 1965 study were reported 
by Wood and Hargis (1971 ). 

MATERIALS AND METHODS 

Scarcity of larvae at Wreck Shoal in 1950 and recognition 
of higher spatfalls in the lower river resulted in selection of 
the Brown Shoal area for sampling in 1964 and 1965. Based 
on intensity of spatfalls over 20 years and preliminary 
plankton samples each year, a period near 1 September was 
chosen as the optimum time for sampling. This would not 
be true of any other estuary in Chesapeake Bay because the 



James River always has late setting. More emphasis was 
placed on sampling in the channel than over inshore oyster 
beds because deep-water currents are necessary for physical 
transport upriver. The channel is considered to be the 
primary transport route for upstream movement of larvae. 
Sampling was conducted hourly during night and day at 
four depths (0, 3, 6, 9 m) in the channel and at two depths 
over 3-m-deep beds for 2 days in 1964 and 8 days in 1965. 
After finding early-umbo larvae in the channel at Brown 
Shoal on 31 August 1964, stations were established at J33 
in the channel and at Wreck Shoal (J33E) bed where 
sampling occurred for one tidal cycle on 3 September 1964. 

Three vessels were spaced 2 km apart and anchored in 
the channel in 1965, and two were anchored inshore over 
oyster beds opposite the central channel station above the 
James River Bridge. All plankton samples were taken 
synoptically on the hour with submerged pumps for each 
depth. Volume of water was measured by timing of calibrated 
pumps. Samples of about 300 C were pumped into plankton 
nets with 50-nm mesh submerged in watertight boxes. 
Surface and bottom samples were taken 1 m from interfaces 
with air and substrate to avoid boundary effects on currents 
and larvae. 

Plankton samples were preserved with 1% formalin 
buffered with an excess of NaHC0 3 or NaBr0 3 crystals. 
Counts of all species of bivalve larvae were made on 
Sedgwick-Rafter cells. In 1964, three or more 2-cm 3 
aliquots were pipetted from magnetically stirred samples 
condensed to about 60 cm 3 . In 1965, entire samples were 
counted after excess fluid was decanted; sediments were 
swirled in 10-cm watch crystals to remove lighter periferal 
plankton and fecal pellets with pipettes. Several slides 
were counted for each swirl depending on the amount of 
sand and sediment; three or more swirls were made for 
each sample until larval counts declined rapidly. Early- 
stage larvae are lighter than advanced larvae, therefore they 
are more difficult to separate from other plankton by this 
swirling method. Total sample counts were necessary 
because of low density of larvae. All species were counted 
separately by stages of development; these were designated 
as straight-hinge, early-umbo, late-umbo, and mature or 
setting-size larvae (Chanley and Andrews 1971). Species 
and stages with low abundance were not summarized except 
as total bivalve larvae. Oysters comprised about one half of 
the bivalve larvae in most samples. 

RESULTS 

Brown Shoals was sampled hourly through one tidal 
cycle on 31 August 1964. A density of 10 to 40/8 of 
early-stage oyster larvae with some advanced larvae was 
encountered. A severe thunderstorm interrupted this field 
study at midnight, but a new operation during one daytime 
tidal cycle was carried out at J 19 and J33 on 3 September 
1964. Counts of total bivalve larvae in the channel at J19 
are shown in Table 1. Bivalve larvae were two to several 



Transport of Bivalve Larvae 



33 



times more abundant at 3- and 6-m depths than at and 9 m 
near surface and bottom boundaries. Larvae at 3 m depth 
had reached abundances of 30/2 at maximum flood tide 
and stayed high through high-slack water to maximum ebb. 
It is clear, however, that larvae were patchy in local distri- 
bution at various sampling times. A new group of early- 
stage larvae, 2 to 3 days old, had entered the Brown Shoal 
area on 3 September, and advanced larvae were less abun- 
dant than they had been on 3 1 August. 

TABLE 1. 

Total of bivalve larvae per 10 liters by depths in channel 

at Brown Shoal (J 19), James River, 

3 September 1964* 

Bivalve Larvae by Depth (m) 



Time 


Tide 





3 


6 


9 


1000-1100 


early flood 


15 


61 


87 


— 


1100-1200 




3 


118 


228 


158 


1200-1300 




29 


387 


676 


278 


1300-1400 


maximum flood 


17 


298 


118 


54 


1400-1500 




18 


529 


163 


86 


1500-1600 




15 


483 


170 


36 


1600-1700 


high slack 


77 


424 


397 


36 


1700-1800 




111 


341 


263 


124 


1800-1900 


maximum ebb 


189 


640 


222 


168 




Mean 


47 


328 


233 


105 



*70% oyster larvae 



Samples at station J33 in the Wreck Shoal area on 
3 September 1964 showed that advanced oyster larvae had 
moved upriver (Table 2). This table is arranged to show 
increasing densities of advanced-stage larvae with greater 
depths. Advanced larvae were much less abundant inshore 
over Wreck Shoal at station J33E in 3 m of water than in 
the channel. Again, patchiness of larvae was evident although 
some late-umbo larvae were found at all depths sampled. 
These counts were made by P. Chanley and the first 50 
larvae were measured for size. This was the only one of 
17 days sampled during full-tidal cycles over four years 
(1950, 1963, 1964, 1965) when significant numbers of 
advanced oyster larvae were found in James River. A light 
spatfall from these larvae occurred throughout the seed area 
in two subsequent weeks (Andrews 1982a). 

Hourly sampling around the clock from 5 and 3 stationary 
vessels, respectively, for 8 days (30 August to 3 September 
and 9 to 1 1 September) in 1965 showed bivalve larvae in 
regular cycles of abundance with tidal stages. High abun- 
dances occurred from maximal flood velocities through 
high-slack water to maximal ebb velocities, and low densities 
occurred during the other half of each tidal cycle. Combined 
totals for all bivalve larvae for four depths in the channel 
are shown for two stations (Figure 2). Most larvae of all 
species, including oyster larvae, were at straight-hinge 
stage (Andrews 1982c). Data for total bivalve larvae by four 
depths at one channel station exhibited similar patterns 
of cyclic abundance (Figure 3). Early-stage larvae were 



TABLE 2. 
Population densities of advanced oyster larvae (number per liter) by depths in channel at Wreck Shoal (J33), 3 September 1964. 



Oyster Larvae by Depths (m) and by Sizes (pm) 1 







3.5-4.0 



Time < 125 125-200 >200 < 125 125-200 >200 



<125 



7.0-8.0 



125-200 



>200 



1125 




1208 


11 


1227 




1300 


349 


1325 




1345 




1359 


429 


1420 




1442 




1500 


285 


1522 




1544 




1600 


177 


1624 




1646 




1701 


406 


1725 




1743 




1800 


202 


Mean 


266 




32 

40 

11 

48 

41 

34 



29 



16 



14 



1877 
818 

698 

550 
166 
318 




82 

63 
160 
128 

49 






63 



24 



738 



80 



14 



50 



412 



201 



49 



427 



190 



17 



252 



218 



86 



59 



197 



138 



42 



137 



84 



74 



215 



66 



103 



Stages of larvae by size are: straight-hinge = < 125 /im; early-umbo = 125 to 200 /Jm; late-umbo or eyed = > 200 )Jm. 



34 



ANDREWS 




T 

TIDAL 
VELOCITY 

1 



IOOO 1400 1800 2200 0200 0600 1000 1400 1800 2200 0200 0600 1000 



September 9 



September 10 



September 11 



Figure 2. Hourly densities of total bivalve larvae at four combined depths in channel, 9 to 11 September 1965. Two sampling stations 
designated by anchored vessels R/V LANGLEY and R/V PATHFINDER in channel 2 km apart. Total counts from 300-? samples at four 
depths adjusted to number per 100 5. Similar cycles of abundance occurred each tidal cycle at five stations over a period of 8 days between 
30 August and 1 1 September 1965. Early-stage larvae predominated throughout the period. 



OT 

uj 



o 
o 



300 



a- 200 



< 

> 

< 



UJ 

> 



< 

> 



O 

rr 

UJ 

<r> 

2 
3 



100 



I METER DEPTH 

4 METER DEPTH 

7 METER DEPTH 

10 METER DEPTH 




~i r^ — I 1 1 1 1 1 1 1 1 r 

1000 1400 1800 2200 0200 0600 1000 

9 SEP 



1 1 1 1 1 I 1 1 1 1 

400 1800 2200 0200 0600 1000 



10 SEP 



II SEP 



Figure 3. Cyclic abundance of bivalve larvae with tidal stage by depths in channel. Samples taken simultaneously with four submerged 
pumps at four depths at station J 19. 



TRANSPORT OK BIVALVE LARVAE 



35 



distributed throughout vertical columns of water with 
highest densities usually at 4 and 7 m. 

Data on bivalve larvae by species also showed highest 
densities from mid-flood to mid-ebb tidal velocities 
(Figure 4). Patchiness was evident, but peaks of abundance 
for oysters and other bivalves tended to occur near high- 
slack-water stage. Highest densities at high tides were 5 to 
10 times as great as lowest densities at low tides. Oyster 
larvae were the most abundant of bivalve species, but peak 
densities tended to occur concurrently for all species. 

The cyclic abundance of larvae in shallow waters (< 3 m) 
over oyster beds is illustrated in Figure 5. High and low 
densities appeared at the same tidal stages as in the channel 
but tended to differ more widely in densities. 

DISCUSSION 

Oyster spawn is released at least weekly during summer 
from late June through September in the James River, but 
spatfall is most successful in late August and early September 
(Andrews 1955). Although spatfall occurred every week 
from 1 July to 1 October in the 1950's, 25 years of setting 
records indicate that conditions for survival and transport 
of larvae are most favorable in late summer (Andrews 
1982a). This is a period of low-freshwater discharge and 
high salinities; therefore, stratification is minimal and net 
upriver movement of saline water in the channel at depths 
below 3 m is small and slow (Pritchard 1953, 1955). 
Nevertheless, in contrast to trap-type estuaries, the James 
River always has freshwater discharge which induces some 
stratification and mixing upriver in the seed area. Hampton 



Roads is nearly homogeneous for density of water in late 
summer, yet some saline water must move upstream in the 
channel to maintain salt balance in the seed area. Salinities 
increase gradually in the seed area as summer progresses. 

Dye releases near the mouth of the James River in the 
Vicksburg model showed that a 28.3-m 3 /s ( 1,000- ft 3 /s) dis- 
charge rate, which approximated salinity regimes observed 
in late summer of 1964 and 1965, resulted in higher concen- 
trations of dye at Burrells Bay after seven prototype days 
than a 90-m 3 /s (3,200-ft 3 /s) discharge (Hargis 1966). This 
suggests less importance of salt-balance transport upriver 
and greater effects of high-flushing rates that remove larvae 
from the river. If tidal dispersion is the primary factor or 
transport system regulating distribution of bivalve larvae, 
late-summer hydrographic regimes would be most favorable 
for retention of larvae in the river. 

Oyster larvae originate over shallow inshore flats and 
oyster beds in the James River. Early-stage larvae occur in 
the full vertical column of water over flats and in the 
channel; therefore, most larvae released in the seed area are 
probably carried downriver in shallow surface waters during 
their first days of planktonic life. Before MSX stopped the 
planting of seed oysters in Hampton Roads, a large oyster 
population near the river mouth supplied large quantities of 
spawn. In post-MSX years after 1960, most larvae originated 
in the seed area. The topography of the river below the 
James River Bridge delivers larvae off the extensive eastern 
shore seed beds into the channel of Hampton Roads where 
a deep-water column of 10 m or more is thoroughly mixed 
and available to allow vertical redistribution of larvae for 



(E 

UJ 



O 
O 



en 

UJ 
Q. 



< 
> 

< 



200 



w 100- 



> 
_j 
< 

> 



m 

z 



Crassostreo 
Mull ma 
Anomia 
Other Bivalves 




1000 



"i — i — i — i — f -\ — i — i 1 — i r — i — i — i — i 

1400 1800 2200 0200 0600 1000 1400 1800 2200 0200 0600 1000 



1 



9 SEP 10 SEP I I SEP 

Figure 4. Cyclic abundance of bivalve larvae by species. Highest densities occurred between maximal flood and maximal ebb stages of tides. 



36 



ANDREWS 






k 300- 



8 



CC 
UJ 

a. 

UJ 

< 

> 
a. 
< 



UJ 

> 



< 

> 



CC 

UJ 
CD 

2 
3 



200 



100 




1000 



1800 
9 SEP 



2200 0200 0600 



n r 

1000 



1400 
10 SEP 



i 1 1 1 r 

1800 2200 0200 



0600 1000 
I I SEP. 



Figure 5. Density of bivalve larvae at surface and bottom over Brown Shoal oyster bed. Abundance of larvae was lower over shoals but 
cyclic patterns with tidal stages were similar for species and depths. 



river ascent in the channel. Early-stage larvae appear to be 
recycled several times up the channel, out over the flats, 
and back down to Hampton Roads during their first days of 
pelagic life. Most larvae disappeared within less than 5 days; 
they were replaced by newly spawned larvae. Few larvae 
achieved advanced umbo stages during which they would 
have selected deeper layers of water thereby enabling them 
to ascend into the seed area. 

My data and concept of transport and dispersal of bivalve 
larvae apply primarily to early-stage larvae (Figure 6). The 
seed area provides the larvae and Hampton Roads is a deep- 
mixing zone which facilitates advection of larvae upriver 
in the channel. These are primary but not exclusive roles 
for the two river sectors shown in the diagram. It is apparent 
from plankton sampling and spatfall patterns that new 
groups of young larvae are being introduced every week, or 
more frequently. Larvae in waters discharged into Chesa- 
peake Bay are lost at an estimated flushing rate of 15% per 
tidal cycle (A. Kuo, Virginia Institute of Marine Science, 
Gloucester Point, VA; pers. coram.); this sums to 95% loss 



of larvae in 10 days or 20 tidal cycles, the shortest probable 
duration of larval life in nature. Data on larval abundance 
near the river mouth are not available, but it is presumed 
from the spatfall gradients that eventually setting-size larvae 
are at least as abundant as at Brown Shoals. Hourly sampling 
during 5- and 3-day physical and biological studies in a 13- 
day period in September 1965 showed the scarcity of 
advanced oyster larvae in the James River. Larvae were not 
surviving in the James River long enough to grow to umbo 
larvae (3 to 5 days) and, therefore, could not utilize the net 
upriver channel flow in waters greater than 3 m depth. 
There are no data on losses of bivalve larvae by predation in 
nature, although my assumption is that the same predators 
present in the 1950's are still equally active in the 1960's 
and 1970's. Many pelagic larvae, including fish fry, coelen- 
terates, ctenophores, as well as most adult bottom-living 
organisms with mucus and ciliary feeding mechanisms, 
capture bivalve larvae (Mileikovsky 1974, Andrews 1979). 
Most efficient as collectors are adult oysters on beds where 
mature larvae are most attracted by gregarious setting. 



Transport of Bivalve Larvae 



37 



TRANSPORT OF BIVALVE LARVAE IN THE JAMES RIVER 

FRESHWATER DISCHARGE 



FLATS 




FLATS 



MID-FLOOD I 



VESSEL STATIONS 1966 





OR MID-EBB -V" 



MID- EBB / 

TO _l 

MID- FLOOD, 



POSITION OF 

MAJOR LARVAL 

BROODS 




JAMES RIVER BRIDGE 



TIDAL CURRENTS 



SALINE WATER INPUT 



SEED OYSTER 
BEDS (SPAWNING) 




SEED 

OYSTER 

AREA 



HAMPTON 
ROADS 



CHESAPEAKE 
BAY 



LARVAE 
LOST 



Figure 6. Diagram of a hypothesis of larva] transport in James River. Oyster beds and larval broods are located only symbolically. Channel 
transport is emphasized, but transport of larvae occurs throughout cross sections of the river. Width of arrows suggests intensity of transport 
system and density of larvae. A tidal excursion is about 1 1 km in channel. The bridge and Deep Water Shoal are 19 and 46 km, respectively, 
above the river mouth. 



38 



ANDREWS 



Figure 6 emphasizes the importance of channel waters 
for transport of larvae upriver. Tidal excursions average 
about 1 1 km in the channel; this means that larvae located 
at the bridge could be carried to Wreck Shoal in one flood 
tide, or downriver to the middle of Hampton Roads in one 
ebb tide. In three years (1963—1965) of late-summer 
sampling in the Brown Shoal area, oyster larvae were rarely 
absent; this indicates that one or more broods were dis- 
tributed at least 1 1 km above and below the bridge during a 
tidal cycle. The larval groups illustrated by ovals on Figure 6 
are intended to suggest the location where larvae were most 
abundant at given tidal stages. The arrows suggest densities 
of larvae in the channel and at sites of dispersion over 
oyster beds. Most larvae carried upriver during flood tide 
appear to be carried back down the channel during ebb 
tide; a few must be trapped over shallow oyster beds or in 
meandering creeks by eddies and boundary effects (slowing 
of currents) of bottom and marginal features such as 
marshes. Apparently, advanced larvae at Wreck Shoal on 
3 September 1964, which were abundant mostly in the 
channel, reached oyster beds in the seed area by slow 
advance in net upstream flow in deep channel currents. 

Wood and Hargis (1971) reported on a 24-hour period 
of sampling(l September 1965) during the same field study 
reported in this paper. Larvae showed the same patterns of 
abundance given in this report and also in the other days 
not reported by either of us. In their samples, oyster larvae 
were usually fewer than 100 per 300-8 sample, although 
early-umbo-stage larvae were relatively abundant. They 
reported physical data on circulation, salinity, temperature, 
and net flow based on seven complete tidal cycles of 
observation. These physical conditions apply equally well to 
plankton data presented in this paper for 9 to 1 1 September. 
The type C counter-clockwise circulatory pattern described 
by Pritchard (1955) prevails in the James River in late 
summer when freshwater discharge is low. Monthly river 
discharge averaged less than 28.3 m 3 /s (< 1,000 ft 3 /s) for 
the months of August and September 1964 and 1965. Net 
upriver flows are greater on the northeastern side of the 
channel, and discharge is greatest downriver on the south- 
western shore. 

Wood and Hargis (1971) contended that oyster larvae on 
the bottom responded to salinity stimulation during flood 
tides, but they provided no data that showed selective 
swimming or distribution of larvae by depths. Vertical 
salinity gradients in Hampton Roads where larvae originate 
with each flood tide were less than 1 ppt from surface to 
bottom. If larvae rested on the bottom during ebb and low 
tides, they could respond to increasing salinities during 
flood tides (Haskin 1964), but evidence that larvae rest on 
the bottom is inconclusive. Carriker (195 1) worked in high- 
salinity coastal bays where shallow water and strong pycno- 
clines prevented larvae from freely selecting strata for 
upriver transport. Both Carriker (1950) and Wood and 
Hargis (1971) support Nelson's hypothesis (Nelson and 



Perkins 1931) that oyster larvae ascend estuaries by resting 
on the bottom during ebb tides and by swimming during 
flood tides. Data of Wood and Hargis (1971) comparing 
coal particles with larvae seem irrelevant to me because it 
has been clearly established that bivalve larvae can move 
vertically by their own powers of swimming. Larvae were 
found during all tidal stages whereas coal particles were 
observed only during strong currents. Larvae were most 
often abundant at high-slack water and there was no 
evidence that larvae descended during periods of slack 
currents. Larvae were least abundant in samples taken near 
the bottom during strong tidal currents when large numbers 
of fecal pellets (primarily from oysters) and sand grains 
were found in samples. This leads me to believe that larvae 
are actually trapped on the bottom during strong currents 
by the roiling effects of bottom drag and constant pelting- 
even though all are being carried by slow bottom currents. 
Dirty samples taken too close to the bottom always con- 
tained few larvae. If distribution of larvae were completely 
passive, they would spend both high- and low-slack periods 
on the bottom just as coal particles and fecal pellets do, 
but feeding time would be reduced. Losses of larvae to 
smothering and predation on the bottom may be as great 
as those from dispersal and predation during planktonic 
life. 

Counts of larvae collected through 8 days (16 tidal cycles) 
show that the pattern of highest abundance from mid-flood 
to mid-ebb tides was regular and highly significant, but 
explanations of cyclic abundance vary in the literature. The 
important observations of the present study are: (1) total 
quantities of larvae at all stations before and after slack-high 
water were approximately equal; (2) persistence of early- 
stage larvae indicated that new broods were recruited fre- 
quently into the river; (3) older larvae were found most 
frequently in deeper waters and, therefore, in the channel; 
and (4) there was a noticeable decrease in density of larvae 
from the lower channel station to the upper one, only 4 km 
apart, at all tidal stages. 

Larval broods are three dimensional. The term swarm is 
inappropriate for there is no evidence that larvae remain 
together or aggregate horizontally. Advanced larvae choose 
deeper strata in the water column effectively. Passive 
physical transport probably far outweighs in significance 
any results from selective motion by larvae, particularly 
during the first 5 days of planktonic life. Larvae do respond 
to pheromones when setting is about to occur. It is not 
known whether they can respond to food or other stimuli. 

My scenario for the decline of setting in James River 
since 1960 assumes that loss of brood stocks to MSX disease 
in the lower river resulted in too few larvae to replenish 
oyster stocks in the seed area. It appears that broods of 
larvae are carried up and down the river several times with 
progressive thinning and dispersal of each brood. In the 
area sampled in 1965, near the James River Bridge, larvae 
probably moved up the channel and along the northeastern 



Transport of Bivalve Larvae 



39 



shallow flats, then back down the channel and over the 
southwestern flats to Hampton Roads (Wood and Hargis 
1971). Most larvae were lost by dispersion and predation in 
3 to 5 days before they were stimulated to swim in deeper 
strata. New broods replaced old ones repeatedly. Spring 
tides and storms that increase tidal amplitude over the 
mean 0.72 m may cause some larvae to be trapped inshore 
and result in spatfalls. Because the same circulatory patterns 
still exist in James River, regular spatfalls every week for 
3 months in the 1950's may be attributed to much larger 
populations of brood oysters and greater abundance of 
larvae in that period. 

In the mid-1960's, Langley Wood (VIMS, Gloucester 
Point, Virginia, unpublished studies) constructed a vertical 
plexiglass cylinder about 2.5 m long and 0.3 m in diameter 
to study the swimming habits of oyster larvae. A strong light 
was mounted over the upper end and sampling ports were 
inserted at various levels. Larvae alternated between 
swimming upward in gyrals and falling slowly while resting 
for periods of a minute or so. When larvae bumped into one 
another they quickly retracted their velums. Pelagic larvae 
have two purposes: to distribute the species and to replenish 
adult stages (Galtsoff 1964). The velum provides a mechan- 
ism for swimming and feeding activities to meet these 
goals. Larvae must swim to eat. Resting for half of each 
tidal cycle on the bottom may require a doubling of the 
duration of larval life. In hatchery cultures, strong light 
causes swimming larvae to seek shade and curious distri- 
butional patterns visible to the naked eye are formed. In 
many estuaries, larvae are confronted with unfavorable 
natural conditions such as low temperatures or toxic com- 
pounds below surface waters (Quayle 1969). In these waters 
larvae are forced to swim continuously throughout their 
planktonic life regardless of dispersal effects. 



I conclude that bivalve larvae swim continuously during 
larval life and that their dispersal and ultimate fates are 
strongly dependent on current regimes and flushing rates of 
estuaries. The bottom is a hazardous place for larvae to 
rest: a host of sedentary filter feeders become predators or 
imprison larvae in mucous-wrapped fecal pellets (Cerruti 
1941,Mileikovsky 1974). Siltation is a serious threat on the 
bottom in channels where currents are strong. Prolonged 
duration of larval life and exposure to predators are major 
threats to survival in the James River with its relatively 
high flushing rates. The trap-type estuaries with their rela- 
tively intensive setting rates provide physical transport 
regimes that allow greater retention of larvae. If oyster 
larvae can persist in an estuary long enough to reach umbo 
size, a preference for deeper waters prevails and, in the case 
of the James River, they should be able to ascend the 
deep channel currents more effectively than in the poorly 
stratified trap-type estuaries. Observations from setting 
records indicate that the opposite occurs and that they are 
less successful in remaining in strong flushing-type estuaries. 
This implies that passive physical transport predominates 
over larval reactions to physical and chemical stimuli to 
select favorable current strata. Presumably, more intensive 
oyster setting in Delaware Bay can be attributed to the 
large size of the estuary with lower freshwater-discharge 
rates and to its wide shallow flats; only the upper seed area 
sector exhibits type-C circulation in summer, and flushing 
rates in the widened lower sector (Hidu and Haskin 1971) 
are probably much lower than in James River. 

ACKNOWLEDGMENTS 

I acknowledge the dedicated support of Martha Eble. 
Sybil Lawler, Paul Chanley. Donna DeMoranville, and Ed 
Powell who counted larvae in many plankton samples 
during 1965 and 1966. 



REFERENCES CITED 



Andrews, J. D. 1949. The 1947 oyster strike in the James River. 

Proc. Natl. Shellfish. Assoc. (1948):61-66. 
. 1951. Seasonal patterns of oyster setting in the James 

River and Chesapeake Bay. Ecology 32:752-758. 
. 1955. Setting of oyster in Virginia. Proc. Natl. Shellfish. 



Assoc. 45:38-46. 
. 1979. Pelecypoda: Ostreidae. Giese, A. C. and J. S. Pearse, 



eds. Reproduction of Marine Invertebrates. Vol. 5. Molluscs: 

Pelecypoda and Lesser Classes. New York, NY: Academic Press. 

.198 2a. The James River public seed oyster area in Virginia. Va. 



Inst. Mar. Sci. Spec. Sci. Rep. Appl. Mar. Sci. OceanEng. 26 1 : 60 p. 
. 1982b. Reproduction of oysters in Virginia. Available 



from author on request: Virginia Institute of Marine Science, 
Gloucester Point, VA. (unpublished manuscript) 
. 1982c. Transport of the bivalve larvae in the James 



River, Virginia. Va. Inst. Mar. Sci. Spec. Sci. Rep. 1 1 1 : 75 p. 
. 1983. Minchinia nelsoni (MSX) infections of oysters in 



the James River seed area and their expulsion in spring. Estuarine 
Coastal Shelf Sci. 16:255-269. 
& J. L. Wood. 1967. Oyster mortality studies in Virginia. 



VI. History and distribution of Minchinia nelsoni, a pathogen of 



oysters in Virginia. Chesapeake Sci. 8:1-13. 
Boicourt, W. C. 1982. Estuarine larval retention mechnisms on two 

scales. Kennedy, V. S., ed. Estuarine Comparisons. New York, 

NY: Academic Press, p. 445-457. 
Carriker, M. R. 1951. Ecological observations on the distribution of 

oyster larvae in New Jersey estuaries. Ecol. Monogr. 21 : 19—38. 
Carter, H. H. 1967. A method for predicting broodstock require- 
ments for oyster (C. virginica) producing areas with application 

to the Manokin River. Chesapeake Bay Inst. Johns Hopkins Univ. 

Spec. Rep. 13: 37 p. 
Cerutti, A. 1941. Osservazioni ed esperimenti sulle cause di distru- 

zione delle larve d'ostrica nel Mar Piccole e nel Mar grande di 

Taranto. Arch. Oceanogr. Limno. 1:165-201. 
Chanley, P. & J. D. Andrews. 1971. Aids for identification of bivalve 

larvae of Virginia. Malacologia 11:45-119. 
Galtsoff, P. S. 1964. The American oyster Crassostrea virginica 

Gmelin. U.S. Fish Wildl. Serv. Fish. Bull. 64: 480 p. 
Hargis, W. J., Jr. 1966. Operation James River, an evaluation of 

physical and biological effects of the proposed James River 

navigation project. Va. Inst. Mar. Sci. Spec. Sci. Rep. Appl. Mar. 

Sci. Ocean Eng. 7: 73 p. 



40 



ANDREWS 



Haskin, H. H. 1964. The distribution of oyster larvae in Delaware 

Bay. Nanagansett, RI: Proc. Symp. Exp. Mar. Ecol., Occas. 

Publ. 2:76-80. 
Haven, D. S.. W. J. Hargis, Jr. & P. C. Kendall. 1978. The oyster 

industry of Virginia: its status, problems and promise. Va. Inst. 

Mar. Sci. Spec. Pap. Mar. Sci. 4: 1024 p. 
Hidu, H. & H. H. Haskin. 1971. Setting of the American oysters 

related to environmental factors and larval behavior. Proc. Natl. 

Shellfish. Assoc. 61:35-50. 
Ketchum, B. H. 1954. Relation between circulation and planktonic 

populations in estuaries. Ecology 35:191-200. 
Korringa. P. 1952. Recent advances in oyster biology. Q. Rev. Biol. 

27:266-308,339-365. 
Kunkle, D. C. 1958. The vertical distribution of oyster larvae in 

Delaware Bay.Proc. Natl. Shellfish. Assoc. 48:90-91. 
Mackin, J. G. 1946. A study of oyster strike on the Seaside of 

Virginia. Va. Fish. Lab. Contr. No. 25: 18 p. 
Manning, J. H. & H. H. Whaley. 1954. Distribution of oyster larvae 

and spat in relation to some environmental factors in a tidal 

estuary. Proc. Natl. Shellfish. Assoc. 45:56-65. 
Meritt, D. W. 1977. Oyster spat set on natural cultch in the Maryland 

portion of the Chesapeake Bay (1939-1975). Cent. Estuar. 

Environm. Sci. Univ. MD 7: 30 p. 
Mileikovsky, S. A. 1974. On predation of pelagic larvae and early 

juveniles of marine bottom invertebrates by adult benthic 

invertebrates and their passing alive through their predators. 

Mar. Biol. (Berl.) 26:303-312. 



Nelson, T. C. 1957. On the reactions of oyster larvae in relation to 
setting on the cape shore of Delaware Bay, N.J. Available from 
Dept. Biology, Rutgers Univ., New Brunswick, NJ (unpublished 
manuscript) 

. 1959. Oyster seed production on Cape May's tidal flats. 

Cape May Geographic Soc. Ann. Bull. 13:12-16. 

& E. B. Perkins. 1931. Report of the Biology Department. 



NJAgric. Exp. Sta. Bull. 522:1-47. 
Pritchard, D. W. 1952. Salinity distribution and circulation in the 

Chesapeake Bay estuarine system./ Mar. Res. 11:106-123. 
. 1953. Distribution of oyster larvae in relation to 

hydrographic conditions. Proc. Gulf Caribb. Fish. Inst. 

5:123-132. 
. 1955. Estuarine circulation patterns. Proc. Am. Soc. Civil 



Eng. 81:1-11. 
. 1956. A study of the salt balance in a coastal plain 



estuary. /. Mar. Res. 15:33-42. 
Quayle, D. B. 1969. Pacific oyster culture in British Columbia. Bull. 

Fish. Res. Board Can. 169: 34 p. 
Seliger, H. H. & J. A. Boggs. 1983. Physical-biological mechanisms 

for the transport of oyster larvae in the Chesapeake Bay. Mar. 

Biol. (Berl.) 71:57-72. 
Sulkin, S. D. (Convenor) 1981. Larval retention in estuaries. 

Abstracts for the Sixth Biennial International Estuarine Research 

Conference. Estuaries 4:238-240. 
Wood, L. & W. J. Hargis, Jr. 1971. Transport of bivalve larvae in a 

tidal estuary. Proc. Eur. Mar. Biol. Symp. 4:29-44. 



Journal of Shellfish Research, Vol. 3, No. 1, 41-44, 1983. 



BIOLOGICAL CONTROL OF FOULING ALGAE 
IN OYSTER AQUACULTURE 



CATHERINE ENRIGHT, DONNA KRAILO, LARRY STAPLES, 
MARIA SMITH, CARL VAUGHAN, DEBRA WARD, 
PAMELA GAUL, AND ELISABETH BORGESE 

Seafarm Venture, Ketch Harbour 
Nova Scotia, Canada BOJ 1X0 

ABSTRACT The periwinkle (Littorina littorea Linne) provided excellent biological control of Ectocarpus sp., Entero- 
morpha sp., Ulva sp., and pennate diatoms, all of which foul oyster-rearing boxes. The addition of periwinkles (200/m*) 
to 1-mm mesh-covered rearing boxes containing juveniles of the European flat oyster Ostrea edulis Linnaes promoted a 
significantly higher oyster growth rate (t-test; p = 0.05). Examination of the means obtained from a 5-week study showed 
a 30% increase in oyster growth rate when periwinkles were added, in comparison to the unmanipulated control. There was 
no significant difference (t-test; p = 0.05) in oyster growth rates when the culture boxes were either brushed once a week 
or periwinkles were added. A density range of to 1,600 periwinkles/m of oyster-rearing surface was examined in culture 
boxes covered with 6-mm mesh. Similar oyster growth rates were obtained with densities between 300 and 1,600 peri- 
winkles/m of oyster-rearing surface. Isopods (Idotea balthica Pallas) at a density of 125/m of oyster-rearing surface were 
not effective as a biological control agent. 

KEY WORDS: biological control, oysters, periwinkles, algal fouling, Ostrea edulis. Littorina littorea, oyster culture 



INTRODUCTION 

Oyster-rearing boxes, trays, and lantern nets quickly foul 
with algae, mussels, bryozoans, sponges, and other marine 
organisms which restrict the flow of water and, consequently, 
the availability of phytoplankton to the oysters. Michael 
and Chew (1976) examined the effect of progressive fouling 
in off -bottom oyster culture in the state of Washington and 
correlated it with a decline in the growth rate of the Pacific 
oyster Crassostrea gigas Thunberg. 

The traditional methods of coping with fouling in oyster 
culture include routine manual scraping and brushing, 
air-drying, controlled burning, pesticides, and high-pressure 
spraying to remove fouling organisms (Arakawa 1980). 
Clime and Hamill (1979) found that high -pressure spraying 
with a portable 378.5 to 567.7-C/min (100 to 500-gal/min) 
capacity pump reduced marine fouling on oyster-culture 
gear in Maine. The cleaning schedules included bi-weekly 
treatments for small mesh enclosures and monthly cleaning 
for lantern nets and larger mesh enclosures during the 
height of the growing season. MacLeod (1974) investigated 
the use of a hot-water dip treatment for control of fouling 
organisms on oyster-culture gear. Huguenin and Huguenin 
(1982) examined the use of expanded metal mesh of a 
copper-nickel alloy in shellfish trays. Although these proce- 
dures are effective, they are both expensive and time 
consuming. Dr. E. Scura (Aquatic Farms, Hawaii, pers. 
comm.) estimated that 20% of the market price of inten- 
sively cultured oysters reflected the costs associated with 
reducing fouling organisms during the rearing stages. In 
Nova Scotia during 1983, the members of the Ostrea Edulis 
Cooperative Association Ltd. allocated more than half of 



the labor time associated with rearing oysters to cleaning 
of fouling from oysters and culture gear. Thus, fouling has 
traditionally been a costly problem in terms of equipment 
and labor costs as well as reduced oyster growth rates. An 
efficient, inexpensive means of ensuring maximum water 
flow about the oysters is greatly needed. 

Biological control is the utilization of natural or exotic 
species to control the density of undesirable organisms. 
Hidu et al. (1981) inadvertently enclosed a rock crab 
Cancer irroratus Say in a tray of over-wintering yearling 
European oysters and found that the typical thick mat of 
fouling organisms did not develop. By selecting crabs of a 
distinct size range, Hidu et al. (1981) demonstrated that the 
introduction of crabs to oyster culture may provide a means 
of biologically controlling the growth of fouling organisms. 
Movement by the crab was also believed to reduce silt 
accumulation on the oysters. While suitable for the culture 
of large oysters, crabs prey upon small oysters and can only 
be used with great care as a biological control agent with 
juvenile oysters. The fouling problem is more acute with 
juvenile oysters because they can not withstand the damage 
incurred by traditional cleaning methods. Also, the small- 
mesh screen needed to retain juvenile oysters fouls more 
quickly and accentuates the fouling problem. Because snails 
and isopods have demonstrated the ability to consume algae 
(Shaddock and Croft 1981, Steneck and Watling 1982), we 
investigated the usefulness of periwinkles and isopods as 
biological control agents in juvenile oyster culture. Bequaert 
(1943) noted that the herbivorous habits of L. littorea 
were sometimes used to keep oysters free of algal growth. 
We felt that such an application might be useful in oyster 
aquaculture. 



41 



42 



ENRIGHT ET AL. 



MATERIALS AND METHODS 

Juveniles of the European oyster Ostrea edulis Linnaes 
were studied inSambro Harbour, Nova Scotia (44°28'5l"N, 
63°34'2l"W). The water temperature range was 12 to 17°C 
and the salinity range was 29 to 3 1 ppt during the experi- 
mental period. The oysters were reared in boxes with 
wooden sides which were covered on the top and bottom 
with plastic screening. Two sets of three vertically suspended 
culture boxes were hung from a floating boom near each 
other. The top box in each set was approximately 20 cm 
beneath the water surface with subsequent boxes approxi- 
mately 25 cm apart. Oyster growth rate was assessed using 
change in volume or weight over the experimental period. 
An empty box with plastic screen was suspended between 
the experimental box sets. A small piece of mesh was 
clipped bi-weekly from this box for a microscopic examina- 
tion of the colonizing organisms throughout the experi- 
mental period. The fouling organisms were identified and 
the abundance of each was expressed as a percentage of 
the total fresh weight biomass of all fouling organisms. 

The first experiment was conducted from 7 July to 
12 August 1981. The culture boxes were 83 X 60 X 6 cm 
and were covered with 1-mm plastic screening. Each of the 
six boxes was divided by wooden slats into four equal 
compartments, with each box receiving one of the following 
four treatments: the addition of 24 periwinkles (Littorina 
littorea) (200/m 2 ) approximately 2 cm in diameter; the 
addition of 13 isopods {Idotea balthicd) (125/m 2 ) approxi- 
mately 3 cm in length; weekly manual brushing of the 
screen mesh; and an unbrushed control. Juvenile oysters, 
approximately 5 mm in diameter, were stocked in the 
boxes at an initial "density" of 600 g/m 2 . 

The second experiment was conducted from 5 July to 
3 October 1982. A similarly arranged culture unit was used 
with boxes measuring 30 X 30 X 6 cm and covered with 



6-mm mesh plastic screen. The six boxes were divided into 
four equal compartments and suspended in two units, 
each with three boxes. The following series of treatments 
was replicated at each of the three-box positions (upper, 
middle and lower): weekly manual brushing of the mesh; 
(contol), 2, 5, 10, 15, 20 and 25 periwinkles in each 
compartment which corresponds to 0.01. 0.03, 0.05, 
0.08, 0.10 and 01.3 periwinkJes/m 2 . The oysters used 
were approximately 2 cm in diameter and the oyster 
stocking "density" was 8,000 g/m 2 . 

RESULTS AND DISCUSSION 

Littorina littorea proved to be an excellent biological 
control agent for reducing algal fouling on the oysters and 
on the screens covering the oyster-rearing boxes. The 
addition of 200/m 2 periwinkles to 1-mm mesh-covered 
rearing boxes containing juvenile European oysters was 
shown to yield a significantly higher (t-test; p = 0.05) 
oyster growth rate (Table 1). Examination of the means 
obtained from a 5-week study showed an approximate 
30% increase in oyster growth rate (Set I, 36%; Set II, 25%) 
when periwinkles were added compared with the unbrushed 
control (Table 1). The major fouling organisms were 
Ectocarpus sp. (90%), Enteromorpha sp. (3%), Ulva sp. 
(1%), and pennate diatoms (5%). Animal fouling accounted 
for less than 1% of the total fouling biomass. There was no 
apparent change in the species composition of the fouling 
organisms throughout the experimental periods. On the 
basis of visual inspections, the periwinkles kept the mesh 
cleaner than that obtained with a weekly manual scrubbing. 
There was no significant difference (t-test; p = 0.05) in 
oyster growth rates when the culture boxes were brushed 
once a week or periwinkles were added. Idotea balthica 
did not actively graze the fouling organisms which collected 
on the plastic screen, and the growth rate of the oysters 



TABLE 1. 

Increase in volume (m?) and the calculated growth rate (% volume increase day ) of Ostrea edulis cultured in boxes with 

unbrushed screens, with brushed screens, with periwinkles, and with isopods. The initial size of the oyster was 

approximately 5 mm in diameter and the experimental period was 5 weeks (7 July to 12 August 1981). 





Unbrushed 


Brushed 




With Periwinkles 


With Isopod 


s 


Box Position 


A Volume 


% day 1 


A Volume 


% day ' 


A Volume 


% day ' 


A Volume 


% 


day" 1 


Set 1 




















Upper 


190 


4.1 


240 


4.8 


240 


4.8 


170 




3.7 


Middle 


170 


3.7 


190 


4.1 


210 


4.4 


210 




4.4 


Lower 


120 


2.7 


200 


4.2 


200 


4.2 


120 




2.7 


X 


160 


3.5 


210 


4.4 


217 


4.5 


167 




3.6 


SD 


36 


0.7 


26 


0.4 


21 


0.3 


45 




0.8 


Set II 




















Upper 


260 


5.0 


280 


5.2 


310 


5.5 


260 




5.0 


Middle 


220 


4.5 


320 


5.6 


300 


5.4 


200 




4.2 


Lower 


180 


3.9 


190 


4.7 


220 


5.2 


140 




3.8 


X 


220 


4.5 


263 


5.2 


277 


5.4 


200 




4.3 


SD 


40 


0.6 


67 


0.5 


49 


0.2 


60 




0.6 



Biological Control of Fouling algae 



43 



reared in such compartments did not differ significantly 
(t-test; p = 0.05) from that of the oysters in the unbrushed 
(control) compartments. Using a comparable isopod density. 
Shaddock and Doyle (1983) found that /. balthica vora- 
ciously grazed Ectocarpus sp., a brown seaweed which 
grows epiphytically on Chondrus crispus in tank cultures. 
Perhaps in the present experiment a higher isopod density 
would have negated the fouling rate in the oyster-rearing 
boxes. Oyster boxes suspended in the water column may 
not provide an adequate habitat for isopods; perhaps their 
feeding behavior is altered in that setting. From the data 
in Table 1, it is clear that higher oyster growth rates were 
obtained in box Set I compared to box Set II. The difference 
may have been the result of their relative position in the 
bay as box Set II was downstream from box Set I with 
respect to the food source. All other parameters were the 
same in each box set. 

An examination of a periwinkle density range from to 
1 ,600/m 2 of mesh-rearing surface, when a 6-mm mesh size 
was used, indicated little change in oyster growth rates 



between 300 and 1 ,600 periwinkles/m 2 of screen (Figure 1 ). 
The optimal periwinkle density would be expected to vary 
as a function of the degree of fouling and with factors that 
influence the periwinkle grazing rate (e.g., temperature). 

There are many advantages to utilizing periwinkles for 
biological control of fouling organisms in juvenile oyster 
culture. Periwinkles are herbivors; therefore, they do not 
prey on oysters as do crabs and other organisms. Littorina 
littorea is extremely abundant in western Europe and in 
northeastern North America and locally exceed densities 
of 150 periwinkles/m 2 in the low intertidal zone. The 
periwinkle can completely withdraw its soft tissue into its 
shell, thus protecting itself against desiccation when the 
oyster boxes are removed from the water for data collec- 
tion or transportation. There was no evidence of erosion 
of the mesh fibers as a result of the periwinkles grazing 
along the plastic screens. The major advantage of using a 
biological control agent such as a periwinkle is the reduction 
in costs associated with cleaning algal fouling organisms. As 
water flow and phytoplankton availability are greatly 



500- 



CD 

5 



co 

<D 



400- 



cn 



300- 



CD 

5 200 



<u 
to 
o 
oj 

o 100 

c 








-5.0 







400 



200 



800 

Periwinkles • m 
on oyster mesh rearing surface 



-2 



-rV/ 1 

1600 BRUSHED 
WEEKLY 



4.0 


D 




TD 




a> 




10 




o 




<u 


3.0 






c 




•*— 




5 




o^ 


2.0 






a> 




-♦— 




n 




i_ 




.c 




*— 


1.0 


5 

o 



CJ5 







Figure 1. Increase in weight (g fresh weight) and the corresponding calculated growth rate {% weight increase day" 1 ) of Ostrea edulis 
cultured with Littorina littorea at various densities and compared with a weekly, manual mesh-brushing treatment. The initial size of the 
oysters was approximately 2 cm in diameter and the mesh used on the rearing boxes was 6 mm. The experimental duration was 12 weeks 
(5 July to 3 October 1982). Standard deviations are shown (n = 3). 



44 



ENRIGHTETAL. 



enhanced for juvenile oysters cultured with periwinkles, 
the need to transfer oysters on to larger mesh sizes, as is 
presently the practice (Clime and Hamill 1979), is reduced. 
Such cost reductions will greatly improve the profitability 
of off-bottom oyster culture. 

ACKNOWLEDGM ENTS 

The financial assistance from the Nova Scotia 



Department of Development, Provincial Employment Pro- 
gram, is gratefully acknowledged. We thank P. Shacklock, 
S. Smith and J. Dale for their assistance on site. Sincere 
appreciation is expressed to Drs. J. Craigie, G. Newkirk, 
and H. Hidu for reviewing the manuscript. This study is 
dedicated to the memory of T. Moore, who assisted greatly 
in the initial stages of this project. 



REFERENCES CITED 



Arakawa, K. Y. 1980. Prevention and Removal of Fouling on 
Cultured Oysters: A Handbook for Growers. Translated from 
Japanese by R. Gillmore. Univ. Maine Sea Grant Tech. Rep. 
No. 56: 56 p. 

Bequaert, J. C. 1943. The genus Littorina in the western Atlantic. 
Johnsonia 7:1-28. 

Clime, R. & D. Hamill. 1979. Growing oysters and mussels in Maine. 
Golden, E., ed. Aquaculture Development Workshop; Bath, ME: 
Coastal Enterprises. Inc. 46 p. 

Hidu, H., C. Conary & S. R. Chapman. 1981. Suspended culture of 
oysters: biological fouling control. Aquaculture 22:189-192. 

Huguenin, J. E. & S. S. Huguenin. 1982. Biofouling resistant shell- 
fish trays. J. Shellfish Res. 2(l):41-46. 

Michael, P. C. & K. K. Chew. 1976. Growth of Pacific oysters. 



Crassostrea gigas, and related fouling problems under tray 

culture at Seabeck Bay, Washington. Proc. Natl. Shellfish. Assoc. 

66:34-41. 
MacLeod, L. L. 1974. Controlling blue mussel (Mytilus edulis) 

fouling on oysters and oyster trays with hot water immersion. 

8 p. Unpublished document. Available from: Nova Scotia Dep. 

fish.. Resour. Develop. Div. Fish. Train. Cen. Pictou, NS, Canada. 
Shacklock, P. F. & R. W. Doyle. 1983. Control of epiphytes in 

seaweed culture using grazers. Aquaculture 31:141-151. 
Shacklock, P. F. & G. C. Croft. 1981. Effect of grazers on Chondrus 

crispus in culture. Aquaculture 22:331-342. 
Steneck, R. S. & L. Watling. 1982. Feeding capabilities and limita- 
tion of herbivorous molluscs: a functional group approach. 

Mar. Biol. (Berl.j 68:299-319. 



Journal of Shellfish Research, Vol. 3. No. 1, 45-50, 1983. 



A STUDY OF GLUCOSE, LOWRY -POSITIVE SUBSTANCES, AND 

TRIACYLGLYCEROL LEVELS IN THE HEMOLYMPH OF 

CRASSOSTREA VIRGINICA (GMELIN) 



MARY L. SWIFT AND MOHAMMED AHMED 

Department of Biochemistry 
College of Medicine 
Howard University 
Washington, DC 20059 

ABSTRACT Oysters, Crassosrrea virginica (Gmelin), were maintained in the laboratory under controlled conditions 
of temperature and salinity. Levels of several hemolymph constituents were analyzed. Average values of hemolymph glucose, 
Lowry-positive substances, and triacylglycerols were 8.83 ± 1.98 mg/100 mC (± SE), 11.0 ± 1.89 rag/mf (± SE), and 
43.2 /Jg/100 mC, respectively. Hemolymph glucose values varied over a wide range. No deleterious effects of this variance 
(as judged by mortality rates) could be detected. Groups of animals with initial hemolymph glucose levels of 23.1 to 
25.0 mg/100 m? survived as long as those with initial values of 5.3 to 8.4 mg/100 mC. Oysters held at constant water 
temperatures and salinities tended to maintain the concentration of their hemolymph glucose and Lowry-positive substances 
over a 27-day period of starvation; hence, some type of regulatory mechanism is involved in controlling the levels of these 
metabolites in oyster hemolymph. Extremes in environmental conditions appear to affect the concentrations of these 
metabolites in hemolymph. Groups of oysters maintained in sea water at a temperature of 4 C had significantly higher 
(p < 0.05) levels of hemolymph glucose and Lowry-positive substances than groups held at 20 C. Groups of oysters 
maintained at alow ambient salinity (12 ppt) had significantly lower (p ^0.05) levels of hemolymph glucose and Lowry- 
positive substances than groups kept in water of 18 ppt and 24 ppt salinity. 

KEY WORDS: oyster, Crassostrea virginica, hemolymph, glucose, regulation 



INTRODUCTION 

Traditionally, the physiological and nutritional condi- 
tions of oysters have been monitored by evaluating tissue 
glycogen content (Gabbott and Walker 1971. Willis et al. 
1976). The deposition and utilization of not only glycogen 
but also lipid by the American oyster may be influenced by 
a number of factors. Seasonal variations in tissue glycogen 
and lipid content, which are keyed to the reproductive 
cycle, are well documented (Galtsoff 1964, Krishnamoorthy 
et al. 1979, Swift et al. 1980). The effects of starvation on 
these metabolic reserves in oysters have been examined 
(Riley 1976, Willis et al. 1976, Swift et al. 1980), as have 
environmental conditions which may also affect the rate of 
synthesis or utilization and, therefore, content of metabolic 
reserves. 

Several groups have investigated either the whole 
animal response or the response of selected excised tissues 
to changes in temperature and salinity. Ruddy et al. (1975) 
examined the growth rate of Crassostrea virginica (Gmelin) 
during exposure to a warm water temperature ( 14 to 19°C). 
Levels of each of the major classes of metabolites (carbo- 
hydrate, protein, and lipid) increased in these animals. At 
the same time gonadal development occurred four months 
earlier than usual. Similar increases in biochemical reserves 
have been observed in Crassostrea gigas (Thurnberg) and 
Ostrea edulis (Linne) (Mann 1979). Percy and Aldrich 
(1971), Percy et al. (1971), and Bass ( 1977) monitored the 
effect of changes in ambient water temperature and salinity 



on oxygen consumption of excised gills, mantle, and 
adductor muscle of C. virginica. These reports agree that, 
with increasing temperature or decreasing salinity, oxygen 
use increases. When subjected to extremes of temperature 
and salinity, these animals used more oxygen (Shumway 
and Koehn 1981). These data imply that the metabolic 
rate has increased and, thus, utilization of metabolic 
reserves has increased, resulting in a decrease in tissue 
content of glycogen and lipid. 

Despite the proven usefulness of data on tissue composi- 
tion, the processes required to obtain them are cumbersome 
and time consuming. In contrast, more complete information 
concerning the nutritional and physiological conditions of 
mammalian organisms may be obtained easily and rapidly 
by analysis of blood metabolites. Unfortunately little is 
known regarding the metabolite levels in the hemolymph of 
C. virginica. Hand and Stickle (1977) studied the effect of 
tidal-like fluctuations in salinity of ambient sea water on 
pericardial fluid composition of the oyster. Ion concentra- 
tions, except K\ were found to be isoionic to the various 
ambient salinity regimes: ninhydrin-positive substances 
ranged from 1 .5 to 6.0 mM. 

The lack of suitable data in the literature for establishing 
baseline values for hemolymph glucose, protein, and triacyl- 
glycerol levels in C. virginica prompted the following studies. 
Glucose," total Lowry-positive substances (LPS), and triacyl- 
glycerols were examined in hemolymph from groups of 
oysters subjected to: (1) starvation, (2) different ambient 
temperatures, and (3) different ambient salinities. 



45 



46 



SWIFT AND AHMED 



MATERIALS AND METHODS 

Oysters (C. virginica), purchased commercially (Capt. 
White and Sons, Seafood, 110 Main Avenue, SW, Washing- 
ton, DC 20024), had been harvested two or three days 
before arrival in the laboratory. The height of the animals, 
measured as the distance from the hinge to the extreme 
ventral margin of the shell, ranged from 7 to 1 2 cm. Before 
any data were gathered the oysters were cleansed in tap 
water with the aid of a wire brush and acclimated to 
laboratory conditions for three days. Up to 20 unfed 
individuals were held in an aquarium in approximately 7 C 
of artificial sea water (Instant Ocean, Aquarium Systems 
Inc., 33208 Lakeland Blvd., Eastlake, OH 44094). The 
glass holding tanks were arranged so that the sea water was 
drawn off at the bottom of each tank, and then pushed up 
through a water-cooled condenser to the top of the holding 
tank by compressed air (Swift et al. 1975). A refrigerated 
bath and circulator was used to control the water tempera- 
ture. Sea water in the tank was changed every two days 
and the tank thoroughly rinsed at those times. 

Hemolymph was collected with a small syringe from die 
pericardial cavity of carefully opened oysters. The hemo- 
lymph was placed in an ice-cooled centrifuge tube. Cellular 
debris were separated from the hemolymph by centrifuga- 
tion at 1,000 X g for 20 minutes at 4°C. The supernatant 
liquid was transferred to a small vial and stored at — 10°C 
before glucose, total Lowry-positive substances (LPS), and 
triacylglycerol determinations were accomplished. Glucose 
was analyzed using the glucose oxidase method (Bergmeyer 
and Bernt 1974), total Lowry-positive substances were 
estimated according to Lowry (Lowry et al. 1951), and 
triacylglycerol was analyzed by the acetylacetone test 
(Fletcher 1968) with a slight modification. Hemolymph 
that was pooled from 3 to 4 oysters was extracted with 
n-heptane; 1 m2 of the upper layer was removed for analysis. 
After the aliquot was dried completely under a stream of 
air, 2.0 m2 of isopropanol were added. Thereafter the 
procedure was the same as described by Fletcher (1968). 

Hemolymph lipids were extracted by the Folch proce- 
dure (Folch et al. 1957). The chloroform layer, remaining 
after the aqueous NaCl wash, was evaporated to dryness 
under reduced pressure. The lipids were redissolved in a 
minimal quantity of 2:1 (v/v) chloroform :methanol and 
separated by thin-layer chromatography on silicic acid 
using n-hexane:diethyl ethenglacial acetic acid at a volu- 
metric ratio of 70:30:1 (Malins and Mangold 1960). The 
spots were visualized by iodine vapor retention or by 
ultraviolet fluorescence after spraying the chromatogram 
with 0.2% V :7'-dichlorofluorescein in 95% ethanol. 

To examine the effect of selected environmental condi- 
tions on the levels of metabolites in oyster hemolymph, 
groups of unfed animals were held in tanks for up to 
27 days under the following conditions: (1) in 24 ppt sea 
water at temperatures of 4, 10, 15, or 20°C, and (2) in 12, 



18, or 24 ppt sea water at 20° C or 15°C. Data were analyzed 
for significance (p < 0.05) by the Student's /-test. 

RESULTS 

Oysters obtained throughout the course of this study did 
not have significantly different initial levels of hemolymph 
glucose (Table 1). Overall hemolymph glucose concentra- 
tions averaged 8.83 ± 1.98 mg/100 mC (± SE) and ranged 
from 1.9 to 25.0 mg/100 ml. Hemolymph LPS levels 
averaged 11.0 ± 1.89 mg/m2 and ranged from 3.17 to 
29.5 mg/mE. Hemolymph triacylglycerol values were quite 
low averaging 43.2 /ug/100 mC and ranged from 3.3 to 
200 Mg/100 m8. 

TABLE 1. 

Initial hemolymph glucose, Lowry-positive substances (LPS) 
and triacylglycerol levels in groups of oysters. 







Glucose 


LPS 


Triacylglycerol 


Month 


N 


(mg/100 mC)* 


(mg/mS)* 


(Ag/lOOmC)** 


December 


11 


15.80 ±6.54 


26.00 ±4.18 


11.7 


January 


6 


9.18 ±2.18 


18.60 ±3.18 


25.0 


February 


12 


8.96 ±1.46 


19.40 ±4.18 


15.6 


March 


20 


12.90 ±2.28 


14.10 ± 1.30 


— 


April 


108 


8.41 ±2.50 


12.10 ±2.34 


26.3 


May 


6 


3.14 ±1.22 


8.08 ±1.41 


30.0 


June 


36 


9.09 ±2.11 


8.02 ±2.37 


43. 9f 



*Mean values ± SE 
**Mean values obtained by pooling hemoymph from 3 or more 
individuals 
t76.7 jug/100 m£ if values of 150 and 200 jUg/100 m£ are included 

No free or nonesterified fatty acids could be detected 
in oyster hemolymph using standard analytical techniques 
or after lipid extraction followed by thin-layer chromatog- 
raphy. This is in agreement with results of other lipid 
analyses of oyster tissues (Watanabe and Ackman 1977, 
Bunde and Fried 1978, Ghassemieh 1978). 

Oysters held at constant temperature and in sea water 
of constant salinity tended to maintain their hemolymph 
glucose, LPS, and triacylglycerol concentrations over a 
27-day period of starvation (Tables 2, 3. and 4); however, 
extremes in external conditions appear to affect the concen- 
trations of these metabolites. Groups of unfed oysters 
maintained in 24 ppt artificial sea water at temperatures of 
4°C had significantly higher (p < 0.05) levels of hemolymph 
glucose and LPS when compared to values obtained from 
oysters kept at 20°C. Oysters held at 4°C had hemolymph 
glucose values of 19.3 ±3.5 mg/100 mC while those kept at 
20°C had hemolymph glucose values of 8.41 ± 1.4 mg/ 
100 mC. Similarly the mean LPS values were 17.56 ± 
1.42 mg/mC and 9.76 ± 0.85 mg/mC for the animals at 
4°C and 20°C, respectively. At a low ambient salinity of 
1 2 ppt, oyster hemolymph glucose and LPS concentrations 
were significantly (p < 0.05) decreased when compared to 
the values found in oysters kept in water of 18 and 24 ppt 
(Tables 5 and 6). 



Study of Oyster Hemolymph 



47 



TABLE 2. 
Hemolymph glucose levels* (mg/100 m?) in starved oysters maintained in 24 ppt sea water at different temperatures. 







Temperature ( C) 




Number of Days 


4 


10 


15 


20 


3 

7 

14 

24 

27 


23.4 ±11.2 

23.1 ± 10.6 

13.2 ± 2.59a 
19.6 ± 4.07(5) 

13.3 ±10.0(3)3 

19.3 ± 3.523 


9.18 ±2.17 
10.7 ±2.04(5) 
11.3 ±1.74 


7.72 ±1.83 

6.63 ±1.75 

11.7 ±3.81 

10.2 ±2.81 


5.33 ± 1.19 

8.38 ±2.14 
6.43 ±1.25 b 
13.3 ±6.02(5) 
5.92 ± 0.904b 


Group Mean 


10.3 ±l.ll b 


9.06 ± 1.33b 


8.44±1.43 b 



*Mean value obtained from six individuals ± SE, unless otherwise indicated. Number in parenthesis shows number of oysters used. Means 
assigned the same or no superscript were not significantly different. Means assigned different superscripts were different at p ^0.05 level 
(compared across groups). 

TABLE 3. 
Hemolymph Lowry -positive substance levels* (mg/m?) in starved oysters maintained in 24 ppt sea water at different temperatures. 









Temperature ( C) 




Number of Days 


4 


10 


15 


20 


3 

7 
14 
24 

27 


26.0 ±4.18 a 

15.1 ±1.52 
14.1 ± 1.17 
17.1 ±1.17(5)3 
12.3 ±1.64(3) 

17.5 ± 1.42 a 


18.6 ± 3.18 

14.5 ±2.86 
15.1 ±1.68 


19.4 ±4.18 (5) 
16.8 ±1.32(5) 

21.0 ±4.59 
17.7 ±4.59 


10.1 ±2.23(3)b 
12.1 ±2.02(5) 

6.7 ±1.23 
11.1 ±1.84(5)b 

8.71 ±1.93 


Group Mean 


16.1 ±2.57 


18.7 ±3.56 


9.76 ±0.85 b 



'Mean value obtained from six individuals ± SE, unless otherwise indicated. Numbers in parenthesis show number of oysters used. Means 
assigned the same or no superscript were not significantly different. Means assigned different superscripts were different at p ^0.05 level 
(compared across groups). 



TABLE 4. 

Hemolymph triacylglycerol levels* (JLlg/100m6) in starved oysters 
maintained in 24 ppt sea water at different temperatures. 







Temperature ( C) 




Number of Days 


4 


10 


15 


20 


3 


11.7 


25.0 


6.25 


16.9 


7 


13.4 


23.8 


6.25 


55.0 


14 


8.33 


6.25 


6.25 


47.5 


24 


6.25 


— 


25.0 


113.0 


27 


— 


— 


— 


27.3 



*Pooled samples from 3 to 6 oysters. 



DISCUSSION 

Hemolymph glucose levels have been examined in other 
fasting molluscan species. In the terrestrial snail, Stropho- 
cheilus oblongiis (Miiller), hemolymph glucose values 
ranged from 2.5 mg/100 mx 1 to 16.88 mg/100 m2 (Marques 
and Falkmer 1976). Hemolymph glucose levels in the 
freshwater pulmonate snail, Lymnaea stagnalis jugidaris 
(Say), ranged from 1.86 to 5.68 mg/100 m2 (X = 3.0) and 



1.9 to 4.0 mg/100 mx 1 (X = 2.9) in separate investigations 
(Friedl 1968, 1971 ). Hemolymph glucose concentrations in 
two freshwater bivalve molluscs, Anodonta cygnea (Linne) 
and Unio pictorum (Linne) averaged 9.4 ± 0.49 mg/100 m2 
and 14.0 ± 1.6 mg/100 mS, respectively (Plisetskaya et al. 
1978). The hemolymph glucose level in the Atlantic deep 
sea scallop, Placopecten magellanicus (Gmelin). was 2.6 ± 
0.6 mg/100 mC (Thompson 1977); and the hemolymph 
glucose concentration in another marine bivalve, Mytilus 
edulis Linne, lies between 16.0 and 37.0 mg/100 m? 
(Bayne 1973). 

Inspection of these data leads to the conclusion that 
hemolymph glucose values during fasts in several molluscan 
species may vary over a wide range and are not directly 
related to terrestrial, freshwater or marine habitats. Thus, 
it may be inferred that these animals, including the oyster 
C. virginica, are more tolerant of larger variations of glucose 
concentrations in circulatory fluids than mammals. In this 
study, no deleterious effects of variations in hemolymph 
glucose levels could be detected. Groups of oysters with 
initial hemolymph glucose levels of 23.0 to 25.0 mg/100 mx 1 
survived as long as those with initial hemolymph glucose 
values of 5.3 to 8.5 mg/100 mE. 



48 



SWIFT AND AHMED 



TABLES. 

The effect of ambient water salinity on hemolymph glucose levels* (mg/100 m£) of starved oysters. 









Temperature ( C) 










20 






15 








Salinity (ppt) 






Number of Days 


12 


18 


24 


18 


24 


3 

7 

14 

24 

27 


3.14 ±1.22(5) 
2.46 ±0.47(5) 
3.98 ±0.69 


7.08 ±2.58(5) 
3.74 ±0.92(5) 
2.88 ±0.75(5) 
3.72 ±0.93(5) 


5.33 ±1.19 
8.38 ±2.14 
6.43 ±1.25 
13.3 ±6.02(5) 
5.92 ±0.90 

6.72±0.92 b 


10.2 ±1.09(5) 
7.26 ±0.88(5) 
2.16 ±0.51(5) 
4.58 ±0.97(5) 


7.87 ±1.82 

6.63 ±1.76 

11.7 ±3.82 

10.2 ±2.86 


Group Mean 


3.24 ±0.59 


4.57 ±1.00 


6.53±1.00 b 


9.02 ± 1.58 b 



*Mean values obtained from six individuals ± SE. Number in parenthesis shows number of oysters used. Means assigned the same or no 
superscript were not significantly different. Means assigned different superscripts were different at p ^0.05 level (compared across groups). 

TABLE 6. 

The effect of ambient water salinity on hemolymph Lowry-positive substance levels* (mg/m?) of starved oysters. 









Temperature ( C) 










20 






15 








Salinity (ppt) 






Number of Days 


12 


18 


24 


18 


24 


3 

7 
14 
24 

27 


8.08 ±1.41 
5.98 ± 1.70(4) a 
8.68±0.96(4) a 


12.2 ±2.41(3) 
6.51 ±0.73(4) a 
9.99 ±1.99(4) 


10.1 ±2.23(5) 
12.1 ±1.23(5) b 
6.73 ±1.23 
11.1 ±1.84(5) 


3.17 ±0.71(5) a 
9.48 ± 1.74 
7.68 ±1.94(5) 


19.4 ±4.18(5) 
16.8 ± 1.32 b 

18.3 ±4.61 

17.7 ±4.15 


Group Mean 


6.07 ±0.91 a 


9.31 ± 1.15 b 


9.64 ± 1.17 b 


6.78 ± 1.15 b 


17.5 ±2.10 b 



*Mean values obtained from six individuals ± SE. Number in parenthesis shows number of oysters used. Means assigned the same or no 
superscript were not significantly different. Means assigned different superscripts were different at p =Ss0.05 level (compared across groups). 



During the course of these studies hemolymph glucose 
levels were relatively stable within test groups. This indicates 
that some type of regulatory mechanism functions in the 
oyster. There is no direct evidence for the regulation of 
hemolymph glucose in other molluscs; however, indirect 
evidence concerning various aspects of this physiological 
mechanism has been published. Enzymatic activities which 
are necessary for the postulated regulation have been 
identified in several molluscs. For example, hexokinase and 
glycogen phosphorylase activities have been reported in 
Pecten maximus (Linne), O. eclulis, Ensis ensis flinne), 
Chlamys varius (Linne) (Zammit and Newsholme 1976), 
and C. gigas (Nakamuro et al. 1980). Glycogen synthase 
activity has been studied in M. edulis (Cook and Gabbott 
1978, Gabbottet al. 1979). 

Of the hormones known to affect mammalian blood glu- 
cose levels, only insulinhasbeen investigatedin some molluscs. 
Hemolymph glucose levels in A. cygnea, U. pictorum 
(Plisetskaya et al. 1978), and S. oblongits (Marques and 



Falkmer 1976) are affected by insulin in ways analogous to 
those found in mammals. In addition, insulin-like proteins 
have been reported in several freshwater bivalves (Pliset- 
skaya et al. 1978), a terrestrial snail (Marques and Falkmer 
1976). and in saltwater bivalves (Collip 1923, Fritsch 
and Sprang 1977), including O. edulis (DeMartinez et al. 
1973). 

Hemolymph triacylglycerol levels in two other bivalves 
were at least 20 times those found in oysters in this study. 
Triacylglycerol concentration in the hemolymph of the 
hard clam, Mercenaha mercenaria (Linne), was 1 mg/100 m? 
(Hoskin and Hoskin 1977), and in the plasma of the deep- 
sea scallop,/ 1 , magellanicus, values ranged from 0.1 to 1 mg/ 
100 m5 (Thompson 1977). The low levels of hemolymph 
triacylglycerols and free fatty acids in bivalve molluscs may 
be a consequence of their general metabolic strategy. As 
facultative anaerobes (Zandee et al. 1980) these animals 
would be more dependent upon carbohydrate for energy 
than lipid. 



Study of oyster Hemolymph 



49 



Few reports on the concentration of hemolymph proteins 
have appeared. Hand and Stickle (1977) examined ninhydrin- 
positive substances in whole hemolymph from C. virginica. 
Their values ranged from 193 to 702 mg/mC; however, 
those investigators were studying hemolymph which had 
not been subjected to centrifugation and. in addition, the 
ninhydrin method detects not only protein but also free 
amino acids. Thus, the large differences in data from the 
two laboratories may be explained. On the other hand, 
plasma from P. magellanicus contained LPS in the range of 
1.55 to 2.17 mg/mB (Thompson 1977). 

The different levels of hemolymph glucose and LPS 
which were observed after the oysters were exposed to 
several temperature and salinity regimes may reflect adaptive 
metabolic mechanisms. These adaptive mechanisms would 
be necessary because oysters are sessile and, thus, subjected 
to the challenges of a changing euryhaline habitat. For 
example, successful acclimation to changing ambient 
salinity is apparently closely related to hemolymph amine 
concentration. Other investigators have found that hemo- 
lymph protein and amino acid levels not only in C. virginica 
(Hand and Stickle 1977), but also in Pyrazus ebeninus 
(BruguiJre) (Ivanovici et al. 1981) as well as the tissue free 
amino acid values (Lynch and Wood 1966), vary directly 



with ambient salinity. This phenomenon was readily 
observed with ambient salinity changes of > 6 ppt provided 
that the animals had been acclimated to the particular 
salinity for a period of at least two weeks. This is the first 
report that hemolymph glucose levels also vary with ambient 
salinity. 

Temperature also affects the metabolism of bivalve 
molluscs. Oysters that are held at elevated temperatures 
have increased metabolic rates as measured by increased 
oxygen utilization (Percy and Aldrich 1971, Percy et al. 
1971, Shumway and Koehn 1981). As ambient tempera- 
ture increases, oyster hemolymph glucose levels decrease. 
Similarly short-term exposure (30 to 60 hours) of My tilus 
galloprovinciallus Lamarck to elevated temperature regimes 
caused a decrease in hemolymph glucose (Madar et al. 
1980). The physiological importance of these findings 
remains to be explored. 

ACKNOWLEDGMENTS 

This work was supported in part by a Biomedical 
Research Support Grant No. 5S07. RR03561. from the 
General Research Support Branch, Division of Research 
Resources, National Institutes of Health. Bethesda, MD. 



REFERENCES CITED 



Bass, E. L. 1977. Influences of temperature and salinity on oxygen 
consumption of tissues in the American oyster (Crassostrea 
virginica). Comp. Biochem. Physiol. 58B : 125— 1 30. 

Bayne. B. L. 1973. Physiological changes in Mytilus edulis L. 
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50 



SWIFT AND AHMED 



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Journal of Shellfish Research, Vol. 3, No. 1, 51-57. 1983. 



EFFECT OF RATION ON GROWTH AND GROWTH EFFICIENCY 
OF JUVENILES OF CRASSOSTREA VIRGINICA (GMELIN) 



EDWARD R. URBAN, JR., GARY D. PRUDER 
AND CHRISTOPHER J. LANGDON 

Center for Mariculture Research 
University of Delaware 
Lewes, Delaware 19958 

ABSTRACT Juveniles of Crassostrea virginica were batch-fed on different rations of an algal diet of Tlialassiosira 
pseudonana and Isochrysis aff. galbana in experiments lasting three weeks and the resulting growth and growth efficiencies 
were determined. Maximum growth occurred when the oysters were fed on the highest daily ration tested which was equal, 
at the beginning of an experiment, to an algal dry weight of 4.6% of oyster live weight. Weight-specific rations decreased 
during each week of growth experiments because rations were only adjusted for oyster growth on a weekly basis. An 
initial daily ration of 4.6% was calculated to be equivalent to an effective daily ration of 2.8% of oyster live weight or 
59.6% of oyster dry organic weight per week of an experiment. Highest growth efficiencies of 17.9 to 22.6% occurred with 
effective rations of 1.4 to 2.3% of oyster live weight. The experimental results indicated that weekly adjusted rations 
based upon previously reported formulae for the prediction of adequate rations for C. virginica may not be sufficient in 
meeting the requirements of juvenile oysters for maximum growth. 

KEY WORDS: ration, oyster, growth, algae, growth efficiency, Crassostrea virginica 



INTRODUCTION 

Successful rearing of bivalve molluscs for both research 
and commercial purposes depends upon the delivery of an 
adequate food ration. Despite many attempts to develop 
satisfactory nonalgal diets or supplements (e.g., Chanley 
and Normandin 1967, Winter 1974, Masson 1977, Epifanio 
1979), algae remain indispensable as the principle food 
source for artificially reared bivalves. Growth studies have 
resulted in the determination of the relative food qualities 
of different algal species (for reviews see Epifanio [1983] 
and Webb and Chu [1983]); however, the relationship 
between ration size and bivalve growth rate has not been 
adequately studied for many bivalve species. 

The most complete studies on the relationship between 
ration size and growth of bivalves were conducted by Bayne 
and co-workers with Mytilus edulis L. (Bayne 1976, 
Widdows 1978a,b), and Navarro and Winter (1982) for 
Mytilus chilensis Hube. On the basis of measurements of 
the energy balance of Mytilus spp. fed on a range of algal 
rations under different conditions of algal cell density and 
animal body weight, numerical relationships were formu- 
lated that integrated these variables in a predictive model of 
"scope for growth." Scope for growth can be defined as the 
energy of the assimilated ration available for somatic and/or 
germinal tissue growth, once metabolic energy requirements 
have been met (Warren and Davies 1967). Bayne and Worall 
(1980) and Navarro and Winter (1982) found close agree- 
ment between growth of mussel populations in the field 
and growth predicted by such mathematical models. Less 
is known about the interrelationships among ration, metabo- 
lism, and growth for oysters, although assimilation and 
growth efficiences of Crassostrea virginica (Gmelin) have 
been reported by several workers (Tenore and Dunstan 



1973, Langfoss and Maurer 1975, Romberger and Epifanio 
1981, Valenti and Epifanio 1981). 

Predicting optimum algal rations for maximum oyster 
growth on the basis of caloric measurements and scope for 
growth determinations is of limited practical usefulness 
because algal diets vary in their nutritive value (Epifanio 
1983, Webb and Chu 1983); thus, an algal ration may be 
calorifically satisfactory but biochemically deficient in 
some essential nutrient for growth. Because factors deter- 
mining algal food value are not fully understood, optimum 
rations for maximum oyster growth must be determined 
empirically. 

In this study, the effect of algal ration on the growth 
and gross growth efficiency of juveniles of C. virginica was 
determined. The tested rations were compared with the 
predicted rations for maximum oyster growth described by 
Epifanio and Ewart (1977), Pruder et al. (1977), and 
Epifanio (1979). 

MATERIALS AND METHODS 

Juveniles of C. virginica were fed different algal rations 
in a series of four experiments. In each experiment, groups 
of 20 oysters were randomly chosen from a population of 
similar sized oysters. Initial oyster live weight did not vary 
by more than one standard deviation of the population 
mean live weight. The identities of individual oysters were 
maintained during growth experiments by partitioning the 
oysters in 400 fim mesh trays, which were submerged in 4 2 
of l-/im-filtered seawater at 30 ppt salinity and 25 C. The 
cultures were aerated to keep the algal cells in suspension 
and the seawater was changed daily. 

The animals were fed rations composed of a 50/50 mix- 
ture (based on dry weight [wt] )of Thalassiosira pseudonana 



51 



52 



URBAN ET AL. 



Hasle and Heimdal (clone 3H) and Isochrysis aff. galbana 
Parke (clone T-ISO). This algal mixture supports excellent 
growth of juveniles of C. virginica (Ewart and Epifanio 
1981). The algae were cultured in 250-8 containers at 19°C, 
illuminated with 550-600 /iW/cm 2 of light (cool white 
fluorescent lamps), and nutrient enriched with f/2 medium 
(Guillard 1975). Algal cell dry weights were assumed to be 
1.32 X 10~ 8 mg/cell for T. pseudonana (Epifanio and Ewart 
1977) and 2.01 X 10" 8 mg/cell for/, aff. galbana (S. Ali, Uni- 
versity of Khartoum, Port Sudan, Sudan, pers. comm.). Algal 
concentrations were determined using a hemocytometer. 

Initial algal rations that ranged in dry algal weight from 
0.52 to 4.6% of oyster live weight were tested in growth 
experiments (Table 1). Algal concentrations ranged from 
0.12 mg dry wt algae/C (10,000 cells/mC) to 2.60 mg dry 
wt algae/6 (217,000 cells/mx 1 ) (Table 1). By adding one-half 
the algal ration twice a day to the 4-2 culture vessels, it was 
possible to feed oysters algal cell concentrations which 
never exceeded 500,000 cells mC" 1 , and, therefore, were less 
than concentrations reported to cause pseudofecal produc- 
tion in C. virginica (Epifanio and Ewart 1977). Clearance 
of algal cells was greater than 95% per day in all treatments 
and, therefore, little loss of ration occurred. 

Oysters were weighed individually at the beginning of 
each experiment. Group live weights were used for weekly 
adjustments of rations to compensate for oyster growth 
during each week of the experiment. At the end of the 



experiments, oysters were reweighed individually, dried to 
constant weight at 60°C, weighed, and then ashed at 450°C 
for 24 to 48 hours and reweighed (Walne and Millican 1978). 
The difference between total dry weight and ash weight was 
assumed to be equal to total oyster organic weight. Individual 
live, dry, ash, and organic weights were similarly determined 
for an initial sample of 50 oysters at the beginning of each 
experiment. 

RESULTS 

The weight-specific daily rations decreased during each 
week of an experiment as a result of the growth of the 
animals and because the rations were only adjusted weekly 
(Figure 1). This decrease was greatest in treatments with 
rapidly growing oysters. To obtain a better estimate of the 
effective ration fed to the oysters, the geometric mean of 
the actual daily ration was determined for each week of an 
experiment. The overall effective ration for the 3-week 
experiment was calculated as the mean weekly effective 
ration (Table 1 ). 

Oyster growth rate increased with increasing effective 
ration over the range tested of 0.2 to 2.8% of oyster live 
weight (Table 1 and Figure 2). The highest effective algal 
ration of 2.8% of oyster live weight was equivalent to a 
ration of 59.6% of oyster dry organic weight, based on a 
mean dry organic contentof 4.7%foroystersfromtwoexperi- 
ments (Table 2). Regression analysis of log-transformed. 



TABLE 1. 

Initial, final, and effective percent rations and the resulting growth 
of juveniles of Crassostrea virginica after 3 weeks. 



Initial Ration Concentration 
(mg dry wt algae Z 1 ) 




Percent Rations* 






Initial 


Final 


Effective 


k Value 


2.60 


4.6 


1.9 


2.8 


0.128 


2.60 


4.6 


1.9 


2.8 


0.123 


1.95 


3.5 


1.6 


2.3 


0.107 


2.60 


3.3 


1.7 


2.2 


0.098 


1.30 


2.3 


1.2 


1.6 


0.093 


1.30 


2.3 


1.2 


1.6 


0.091 


0.97 


1.7 


1.0 


1.2 


0.070 


2.60 


1.9 


1.2 


1.4 


0.067 


0.65 


1.2 


0.8 


0.9 


0.057 


1.95 


1.4 


1.0 


1.1 


0.053 


0.65 


1.2 


0.8 


1.0 


0.049 


0.65 


0.8 


0.6 


0.6 


0.037 


1.30 


0.9 


0.7 


0.7 


0.037 


0.32 


0.6 


0.5 


0.5 


0.027 


0.65 


0.5 


0.4 


0.4 


0.018 


0.12 


0.2 


0.2 


0.2 


0.013 


unfed 


0.0 


0.0 


0.0 


0.009 


unfed 


0.0 


0.0 


0.0 


0.005 


unfed 


0.0 


0.0 


0.0 


0.003 



Percent Increase in Oyster Live Wt 



1363 

1226 

847 

687 

604 

585 

338 

305 

231 

203 

183 

120 

107 

78 

45 

31 

22t 

10* 

6* 



*Percent ration = ([dry wt of algae per oyster live wt] X 100). Effective ration is the geometric mean ration for each week, averaged for the 

3-week experiment (Figure 1). 
fk is the daily instantaneous relative growth rate (see RESULTS for formula). 
jLive weight increases of unfed oysters probably resulted from increases in inorganic shell weight because the organic content of unfed 

oysters decreased during the experiment (Table 2). 



Effect of Ration on Growth of Juvenile Oysters 



53 



weekly live-oyster weights plotted against time, indicated 
that growth occurred at a constant exponential rate for 
oysters fed on the 2.8% effective ration (r 2 = 0.997, F, 
2615.3, p < 0.001). 



(1.6) 



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3200- 
o 2800 



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o 
o 



rx 
o £ 

_J UJ 

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o^ UJ 

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2400- 
2000 
1600 
1200 
800 H 
400 




Y=229t 0.l24t 
r^ 0.997 

F = 26I5.3 p<0.00l 
(1,6) 




the effective % ration 

(geometric mean of actual % ration) 



7 14 21 

ELAPSED TIME -DAYS 



Figure 1. Change in percent daily ration for Crassostrea virginica fed 
an initial daily ration of 4.6%. The upper curve shows the growth of 
juveniles of C. virginica fed an initial daily ration of 4.6% over a 3- 
week period. The lower figure shows the change in the percent daily 
ration over the course of each week of the experiment. The vertical 
arrow indicates the effective ration for each week. The t-value in 
the exponential equation is in days. 



The daily instantaneous relative growth rate (k) was 
calculated for each ration (Table 1 ). where 

k= [(dWt/dt)/Wo] = (2.303/t) log (Wt/Wo) 

and Wo is the initial live weight (mg) and Wt is the final 
live weight (mg) after 21 days (t) of growth (Brody 1945). 
The k values and values for percentage increase in oyster 
live weight were both directly dependent on the weight- 
specific ration and were not greatly affected by the concen- 
tration of algae added to obtain the required ration (Table 1). 



— 14 



O 
>< 

£ 

« 

i 



c 
« 
o 

e 

a 



Effective 
% Ration 




1 2 3 

elapsed time (weeks) 

Figure 2. Increase in live weight of juveniles of Crassostrea virginica 
fed different effective percent rations of an algal diet of Thalassiosira 
pseudonana and Isochrysis aff. galbana. Percent increase in live 
weight was calculated from initial live weight. 

Table 2 and Figure 3 give gross growth efficiencies for 
oysters fed different rations. Figure 3 shows that gross 
growth efficiency increased from -37.7% at an effective 
ration of 0.2% to a maximum of 22.6% with an effective 
ration of 1.4%. Gross growth efficiency declined slightly 
as rations were increased from 1.6 to 2.8%. From Figure 3, 
the maintenance ration for juvenile oysters cultured under 
the described conditions was 0.5% of oyster live weight. 
The organic content of both starved oysters and oysters fed 
a 0.2% effective ration decreased over the experimental 
period, compared with initial samples. Increases in total dry 
weights of starved oysters and oysters fed a 0.2% effective 
ration resulted, therefore, from increases in ash content, 
probably as a result of shell growth. 

DISCUSSION 

In bivalve growth experiments carried out by Langton 
and McKay (1975) and Gallager and Mann (1981), ration 
was not adjusted according to growth over the entire 
experimental period and the animals were fed a constant 
amount of food per individual. An important consequence 
of maintaining a constant ration with rapidly growing 
animals is that the weight-specific ration (expressed as a 
percentage of oyster live weight in this study) decreases as 
the animal grows (Figure 1 ). An example of large decreases 
in weight-specific ration is evident in Experiment 6 of 
Walne and Spencer (1974) in which a ration of Tetraselmis 
suecica (Kylin) Butch, fed to Ostrea edulis Linne decreased 
from 35 to 2% of oyster live weight over a 3-week period. 
This occurred even though the authors attempted to com- 
pensate for oyster growth by limited, but insufficient. 



54 



URBAN ET AL. 



TABLE 2. 

The relationship between the effective algal ration and the resulting growth 
and gross growth efficiency of juveniles of Crassostrea virginica. 







Increase in 


Increase in 




Dry Wt of Algae 


Percent Increase in 






Initial Oyster 


Oyster 


Oyster Dry 


Final Oyster 


fed per 


Oyster Live Wt/ 


Gross Growth 


Effective Ration* 


Live Wt 


Live Wt 


Organic Wt 


Organic Dry 


Experiment 


Dry Wt of Algae 


Efficiencyf 


(X 100) 


(mg) 


(mg) 


(mg) 


Wt/Live Wt 


(mg) 


fed per Experiment 


(GGE) 


2.8 


224.76 


3,014.3 


151.12 


0.051 


715.5 


420 


21.1 


2.8 


228.17 


2,774.2 


114.48 


0.043 


615.2 


450 


18.6 


2.2 


315.78 


2,135.6 


85.30 


0.040 


475.7 


450 


17.9 


2.3 


221.60 


1,853.7 


75.25 


0.043 


383.6 


480 


19.4 


1.6 


224.64 


1,265.0 


46.88 


0.041 


231.1 


550 


20.3 


1.6 


225.43 


1,337.8 


48.08 


0.040 


271.5 


610 


22.1 


1.2 


227.85 


723.0 


28.42 


0.044 


143.4 


500 


19.8 


1.4 


557.65 


1,671.7 


78.77 


0.046 


347.4 


480 


22.6 


1.0 


224.96 


362.4 


38.34 


0.085$ 


82.2 


440 


46.6 % 


1.1 


556.17 


1,098.8 


46.07 


0.042 


224.3 


490 


20.5 


0.9 


222.00 


490.4 


15.50 


0.043 


77.7 


630 


19.9 


0.7 


559.33 


628.5 


26.30 


0.042 


133.4 


470 


19.7 


0.6 


316.69 


344.3 


12.34 


0.039 


65.0 


530 


19.0 


0.5 


224.91 


126.8 


0.13 


0.040 


24.0 


370 


0.5 


0.2 


228.22 


47.0 


- 4.22 


0.039 


11.2 


420 


-37.7 


0.4 


556.11 


219.7 


6.35 


0.038 


57.2 


380 


11.1 


unfed 


219.17 


48.2* 


5.86 


0.037 





— 





unfed 


220.73 


22.7* 


- 6.43 


0.039 





— 





unfed 


551.66 


31.9* 


- 2.58 


0.038 





— 






*Effective percent ration = average weekly effective percent ration for a 3-week experiment (Figure 1), expressed as (mg dry wt algae per 

mg live wt oyster) X 100. 
fGross growth efficiency (GGE) = (increase in oyster dry organic weight/total dry weight of algae fed) X 100 for an experimental period of 

3 weeks. 
tThese values are anomalous and may have resulted from analytical error. 
♦Increases in the live weight of fed animals were adjusted by subtracting the mean increase in the live weight of starved animals. This was 

necessary to accurately determine gross growth efficiency (Winberg 1958). 



weekly increases in ration. Clearly, if a constant weight- 
specific ration is desired throughout a growth experiment, 
frequent adjustments of ration in proportion to bivalve 
growth are necessary. Such adjustments are especially 
important in growth experiments with juvenile animals in 
which weight-specific growth rates are high, and which 
result in significant changes in weight-specific rations over 
short periods of time, unless frequent ration adjustments 
are made. Changes in weight-specific rations will be less 
dramatic with large animals that have lower weight-specific 
growth rates. Under certain conditions the use of photo- 
electric devices to maintain constant algal concentrations 
may be useful (Winter 1973). 

Pruder et al. (1976, 1977), Epifanio and Ewart (1977), 
and Epifanio (1979) attempted to determine the maximum 
ration that could be ingested by bivalves under optimal 
growth conditions where excess food was available. Under 
those conditions, they assumed that the growth rate would 
be greatest when the animal was fed as much food as it 
could consume, i.e., a maximum ration (Epifanio and Ewart 
1977). Because maximum ration is dependent on animal 
weight (Navarro and Winter 1982), several ration formulae, 
derived from measurements of the filtration rates of 



40 



IP 

(J 
c 
QJ 

O 

<^ 

UJ 

_c 

-t- 

o 

L 

o 

(/) 

U) 

o 

L 



20 



-20 



-40 



Effective 
% Ration 



Figure 3. Gross growth efficiencies of juveniles of C. virginica fed 
different effective percent rations for a period of 3 weeks. GGE = 
(increase in oyster organic dry wt/dry wt of algae fed) X 100. 



Effect of Ration on Growth of Juvenile Oysters 



55 



Crassostrea virginica, have been described in an attempt to 
predict the maximum ration on a weight-specific basis. 
Pruder et al. ( 1 976) reported an empirically derived equation 
relating oyster weight to a daily requirement of cells of a 
mixture of Thalassiosira pseudonana and hochrysis galbana. 
The equation Y = 5.3 W" 0,41 was derived on the basis of the 
maximum filtration rates of both laboratory-reared juvenile 
oysters and adult oysters from the field, where Y was the 
daily ration of algal cells of a 50/50 mixture (by cell number) 
of T. pseudonana and /. galbana X 10 8 per gram live weight 
of oyster and W was the individual oyster live weight in 
grams. Later, Pruder et al. (1977) repeated the work using 
only laboratory-reared oysters and the equation was modi- 
fied to Y = 8.2 W~°- 21 . The modification was required 
because laboratory-reared oysters had a higher content of 
organic material compared with wild oysters. 

Epifanio and Ewart (1977) determined the maximum 
dry weights of four algal species which could be filtered 
from suspension by laboratory-reared oysters (C. virginica) 
of 15 g live weight. They found that the maximum ration 
cleared varied from 4 mg/g/day (0.4% ration) for T. pseu- 
donana to 1 5 mg/g/day (1 .5% ration) for /. galbana. Using a 
maximum ration of 4 mg/g/day and a value for the exponent 
of -0.41 obtained from Pruder et al. (1976), Epifanio and 
Ewart (1977) derived the equation R/W = 0.01 W 0A \ 
where R was the daily ration of algae in mg dry weight, and 
W was the individual live weight of the animal in grams. In a 
later paper, Epifanio (1979) adjusted the value of the 
exponent to a theoretical value which was closer to the 
empirical value of Pruder et al. (1977) and the formula 
predicting ration size was given as R/W = 0.01 W -033 . 

The growth of C. virginica fed on rations derived from 
the formulae of Pruder, Epifanio, and co-workers has not 
been studied experimentally. In Figure 4, the predicted 
rations are compared with those of the present study. In 
the first week, the 4.6% initial ration was lower than the 
predicted ration of Epifanio and Ewart (1977), but higher 
than the rations of Pruder et al. (1977) and Epifanio (1979). 
As the animals grew, the predicted rations based on the 
weight-specific equations decreased and in the second and 
third week of the growth experiment, all were less than 
the 4.6% initial ration used in the present study. 

It was impossible to definitely determine which rations 
given in Figure 4 would support the greatest oyster growth. 
Juvenile oysters fed on the highest initial ration of 4.6% 
in this study grew at a constant exponential growth rate 
throughout the experimental period (Table 1, Figure 1), 
and were not adversely affected by the high algal concen- 
trations of the ration during the latter part of the experi- 
mental period. The optimal ration for maximum growth of 
juvenile oysters weighing 11 to 64 mg was, therefore, 
probably greater than that predicted by the weight-specific 
equations. Further study is necessary to test this hypothesis 
with juvenile oysters weighing less than 1 g, because the 
equations of Epifanio and Ewart (1977) and Pruder et al. 



(1977) were derived from experiments using larger oysters 
than those used in the present study. 





7 


















LEGEND 
















A - Ep.(amo& Ewart (1977) 






Mean oysier hve *l B " Epifanio (1979) 










11 3 ma C ~ Thu paper 




6 




A 


D - Pruder eial 11977) 


c 


5 






Mean oyster hvewl Mean oysler live v 


o 








p _ i | 1 ?•<»! t , 627 




4 






B 


C 




A 




C 




C 




cc 






































D 
















£ 


3 














B 






A 








Id 


2 








— 












D 






B 




D 








































c 






































1 









— 



























0-1 1-2 2-3 

Experimental period 
(weeks) 

Figure 4. A comparison of the initial percent rations used in the 
present paper and initial percent rations derived from reported 
equations for determining the maximum ration for Crassostrea 
virginica. The initial weekly mean individual live weights of oyster 
fed the 4.6% ration in the present study are indicated above each set 
of bars. These weights were used to calculate initial percent rations. 
The 8-part bar "C" indicates the eight rations used in the present 
study (Table 1). 



The relationship between ration size and gross growth 
efficiency (Figure 3) is similar to that reported for Mytilus 
edulis by Thompson and Bayne (1974) in that there was 
initially a dramatic increase in gross growth efficiency to a 
maximum value, followed by a slight decline with further 
increases in ration. At still higher rations, gross growth 
efficiency may decrease even more sharply, making it 
important for commercial oyster culturists to balance the 
cost savings of further improvements in growth rate with 
the increased costs of decreased utilization of expensive 
algal food. Comparisons between gross growth efficiencies 
of M. edulis and those reported in this paper for C. virginica 
are difficult because Thompson and Bayne (1974) used 
larger animals and also expressed gross growth efficiency 
in terms of tissue dry organic weight and not total organic 
weight (i.e., they did not include the contribution of the 
food to synthesis of the organic fraction of the shell). 
Price et al. (1976) reported that 39% of the total organic 
material of M. edulis (3.5 to 14.4 g live weight) was present 
in the shell and that 72% was present in the shell of adults 
of C. virginica (80.9 to 170 g live weight). For juveniles of 
C. virginica (10 to 30 mg live weight), the proportion of 
the total organic matter present in the shell is 33.8 ± 5.8% 
(C. Langdon, University of Delaware, Lewes, DE, unpub- 
lished data). Clearly, failure to take into account increases in 



56 



URBAN ET AL. 



the organic content of the shell may result in considerable 
underestimations of gross growth efficiencies (see Jorgensen 
1976). 

Based on measurements of the total increase in the 
organic weight of juvenile oysters, Romberger and Epifanio 
(1981) reported a maximum gross growth efficiency of 
36% for C. virginica fed a 50/50 mixture (by cell volume) 
of T. pseudonana and /. galbana at ration levels based on 
the predicted rations of Epifanio and Ewart (1977). Their 
maximum gross growth efficiency was, therefore, greater 
than the highest efficiency found in this study of 22.6% 
and may have resulted from differences in culture conditions. 

In conclusion, the use of high-algal rations and high 
concentrations of algae up to 500,000 cells mvT 1 need not 
be detrimental to oyster growth or growth efficiency when 



used in batch-feeding systems (Pruder and Greenhaugh 
1978). The highest initial percentage ration tested in this 
study of 4.6% was greater than those recommended for 
oysters of the same size by the predictive equations discussed 
above. Constant adjustments of ration are required to 
compensate for increases in oyster weight during the course 
of growth experiments. An initial daily ration of 4.6%, 
which was equivalent to an effective daily ration of 2.8% per 
week, supported good growth of juveniles of C. virginica 
under the conditions of this study. Optimal rations for 
maximum oyster growth will vary according to culture 
conditions. Empirical growth studies, such as those described 
here, are useful because they integrate culture conditions 
with both the physiological and nutritional requirements of 
oysters for maximum growth. 



REFERENCES CITED 



Bayne, B. L. 1976. Marine Mussels: Their Ecology and Physiology. 

Cambridge and New York: Cambridge University Press. 506 p. 
& C. M. Worall. 1980. Growth and production of mussels, 

Mytilus edulis from two populations. Mar. Ecol. Prog. Ser. 3: 

317-328. 
Brody, S. 1945. Bioenergetics and Growth. New York, NY: Reinhold 

Publishing Co. 1023 p. 
Chanley, P. & R. F. Normandin. 1967. Use of artificial foods for 

larvae of the hard clam, Mercenaria mercenaria. Proc. Natl. 

Shellfish. Assoc. 57:31-37. 
Epifanio, C. E. 1979. Comparison of yeast and algal diets for bivalve 

mollusks. Aquaculture 16:187-192. 
. 1983. Phytoplankton and yeast as foods for juvenile 

bivalves: A review of research at the University of Delaware. 

Pruder, G. D., C. J. Langdon & D. E. Conklin, eds. Proceedings 

of the Second International Conference on Aquaculture Nutrition: 

Biochemical and Physiological Approaches to Shellfish Nutrition. 

1981 October 27-28. Rehoboth Beach, DE. World Maricult. 

Soc. Spec. Publ. 2:292-304. 

& J. Ewart. 1977. Maximum ration of four diets for the 



oyster Crassostrea virginica Gmelm. Aquaculture 1 1 : 1 3 — 29. 
Ewart, J. W. & C. E. Epifanio. 1981. A tropical flagellate food for 

larval and juvenile oysters, Crassostrea virginica (Gmelin). 

Aquaculture 22:297-300. 
Gallager, S. M. & R. Mann. 1981. The effect of varying carbon/ 

nitrogen ratio in the phytoplankton Thalassiosira pseudonana 

(3H) on its food value to the bivalve Tapes japonica. Aquaculture 

26:95-105. 
Guillard, R. R. L. 1975. Culture of phytoplankton for feeding 

marine invertebrates. Smith, W. L. and M. H. Chanley, eds. 

Culture of Marine Invertebrate Animals. New York and London: 

Plenum Press, p. 109-133. 
Jorgensen, C. B. 1976. Growth efficiencies and factors controlling 

size in some mytilid bivalves, especially Mytilus edulis L.: review 

and interpretation. Ophelia 15:175-192. 
Langton, R. W. & G. U. McKay. 1976. Growth of Crassostrea gigas 

(Thunberg) spat under different feeding regimes in a hatchery. 

Aquaculture 7:225-233. 
Langfoss, C. M. & D. Maurer. 1975. Energy partitioning in the 

American oyster. Crassostrea virginica (Gmelin). Proc. Natl. 

Shellfish. Assoc. 65:20-25. 
Masson. M. 1977. Observations sur la nutrition des larves de Mytilus 

galloprovincialis avec des aliments inertes. Mar. Biol. (Berl.) 

40:157-164. 
Navarro, J. M. & J. E. Winter. 1982. Ingestion rate, assimilation 



efficiency and energy balance in Mytilus chilensis in relation to 

body size and different algal concentrations. Mar. Biol. (Berl.) 

67:255-266. 
Price, T. J., G. W. Thayer, M. W. LaCroix & G. P. Montgomery. 

1976. The organic content of shells and soft tissues of selected 

estuarine gastropods and pelecypods. Proc. Natl. Shellfish. Assoc. 

65:26-31. 
Pruder, G. D., E. T. Bolton, E. E. Greenhaugh & R. E. Baggaley. 

1976. Engineering aspects of bivalve molluscan mariculture. 

Progress at Delaware, 1975. Proc. World Mariculture Soc. 7: 

607-622. 
Pruder, G. D., E. T. Bolton & C. E. Epifanio. 1977. Hatchery 

techniques for a controlled environment molluscan mariculture 

system. Third Meeting of the International Council for the 

Exploration of the Sea Working Group on Mariculture. 1977 May 

10-13. Brest, France. Actes Colloq. Cent. Natl. TExploit. 

Oceans 4:347-351. 
Pruder, G. D. & E. E. Greenhaugh, inventors. 1978. University of 

Delaware: assignee. Bivalve mollusc rearing process. U.S. patent 

4,080,930. 1978 March 28. 4 p. Int. A01K 61/00. 
Romberger, H. P. & C. E. Epifanio. 1981. Comparative effects of 

diets consisting of one or two algal species upon assimilation 

efficiencies and growth of juvenile oysters, Crassostrea virginica 

(Gmelin). Aquaculture 25:77-87. 
Tenore. K. R. & W. M. Dunstan. 1973. Comparison of feeding and 

biodeposition of three bivalves at different food levels. Mar. 

Biol. (Berl.) 21:190-195. 
Thompson, R. J. & B. L. Bayne. 1974. Some relationships between 

growth, metabolism and food in the mussel, Mytilus edulis. Mar. 

Biol. (Berl.) 27:317-326. 
Valenti, C. C. & C. E. Epifanio. 1981. The use of a biodeposition 

collector for estimation of assimilation efficiency in oysters. 

Aquaculture 25:89-94. 
Walne, P. R. & P. F. Millican. 1978. The condition index and organic 

content of small oyster spat. /. Cons. Cons. Int. Explor. Mer. 

38:230-233. 
Walne, P. R. & B. E. Spencer. 1974. Experiments on the growth and 

food conversion efficiency of the spat of Ostrea edulis L. in a 

recirculation system./ Cons. Cons. Int. Explor. Mer. 35:303-318. 
Warren, C. E. & G. E. Davies. 1967. Laboratory studies on the 

feeding, bioenergetics, and growth of fish. Gerking. S. D., ed. 

Tlie Biological Basis of Freshwater Fish Production. Oxford, 

England: Blackwell Scientific Publications, p. 175-214. 
Webb, K. L. & F. E. Chu. 1983. Phytoplankton as a food source for 

bivalve larvae. Pruder, G. D., C. J. Langon & D. E. Conklin, eds. 



Effect of Ration on Growth of Juvenile Oysters 57 

Proceedings of the Second International Conference on Aqua- Winberg, G. G. 1958. Rate of Metabolism and Food Requirements 

culture Nutrition: Biochemical and Physiological Approaches to of Fishes. Nanchor. Trudy belojussk. gos. Univ. V. I. Lenina. 

Shellfish Nutrition. 1981 October 27-29. Rehoboth Beach, DE. (Translated from Russian by Fish. Res. Board Can. Trans!. Ser. 

World Maricult. Soc. Spec. Publ. 2:272-291. No. 194, 1960.) 

Widdows, J. 1978a. Physiological indices of stress in Mytilus edulis. Winter, J. E. 1973. The filtration rate of Mytilus edulis and its 

/. Mar. Biol. Assoc. U.K. 58:125-142. dependence on algal concentration, measured by a continuous 

. 1978b. Combined effects of body size, food concentration, automatic recording apparatus. Mar. Biol. (Berl.) 22:317-328. 

and season on the physiology of Mytilus edulis. J. Mar. Biol. . 1974. Growth of Mytilus edulis using different types of 

Assoc. U.K. 58:109-124. food. Ber. Dtsch. Wiss. Komm. Meeresforsch 23:360-375. 



Journal of Shell fish Research, Vol. 3, No. 1, 59-64, 1983. 

EFFECT OF DEPURATION SYSTEMS ON THE REDUCTION OF BACTERIOLOGICAL 
INDICATORS IN CULTURED MUSSELS (MYTILUS EDULIS LINNAEUS) 



AURORA LEDO, ENRIQUE GONZALEZ, JUAN L. BARJA 
AND ALICIA E. TORANZO 

Departamento de Microbiologia 

Facultad de Biologia 

Universidad de Santiago de Compostela 

Spain 



ABSTRACT Five bacteriological parameters (total coliforms, fecal coliforms, fecal streptococci, Escherichia coli, and 
total viable count) were used to examine depuration of cultured mussels (Mytilus edulis Linnaeus) by two different systems, 
one using chlorine as a disinfection agent for the water, and the other using untreated seawater. The most significant 
difference in post-depuration levels between chlorinated and untreated seawater systems was obtained for fecal coliforms 
(63.4 and 90.1% reduction, respectively), whereas reduction of the other bacteriological parameters were quite similar for 
both depuration methods. Although there was a large decrease in the fecal streptococci (> 74%), high residual numbers 
could be detected after depuration. From the identification of bacteria isolated from mussels, we found that the pathogens 
Salmonella and Yersinia were not recovered in the depurated samples, even though the genera Citrobacter, Enterobacter, 
and Escherichia coli were detected either before or after depuration. The drug-resistance patterns of the most representative 
members of the enterobacteria isolated from mussels were also determined. 

KEY WORDS: mussels, Mytilus edulis, shellfish depuration, pollution indicators, drug-resistance 



INTRODUCTION 

Since Dogson (1928) found that depuration was an 
effective method for reducing the microbial flora of contam- 
inated shellfish, this method has been adopted as the best 
technique for reducing the potential risk of public health 
hazards associated with the consumption of shellfish which 
might have accumulated high levels of bacterial or viral 
pathogens. 

In Galician "rias" (Atlantic coast of northwestern Spain), 
the production of cultured mussels (Mytilus edulis Linnaeus ) 
on rafts is a very important economic activity, reaching 
200,000 metric tonnes in 1981. Approximately 50% of 
this production is destined for daily consumption and 
export, following depuration which is required by Spanish 
regulations. 

The depuration process is based on holding shellfish in 
tanks containing seawater that has been sterilized by 
physical or chemical means. The technology of depuration 
has been well studied (Huntley and Hammerstrom 1971, 
Neilson et al. 1978, Souness et al. 1979), and reviewed 
(Furfari 1976, Fleet 1978). Most countries have chosen to 
clean their shellfish in depuration plants rather than by 
relaying in natural waterways. Ultraviolet irradiation, 
ozonation, and chlorination are widely used to sterilize 
seawater for depuration (Kelly 1961, Wood 1961, Anon. 
1972); however, Reynolds (1956) showed that the process 
could be simplified if depuration plants were located in 
areas with light or no contamination. In the former cases, 
the water sterilization step could be suppressed. Because of 
the special geography of Galician n'as, it is possible to find 
within 30 km (18 miles) depuration plants located in areas 



without microbial contamination, as well as others, nearer 
populated areas (on the middle upper part), that must use 
disinfection agents for water treatment. 

Our objective was to compare the reduction of bacterio- 
logical indicators of pollution in cultured mussels which 
were subjected to depuration systems that used either 
chlorinated seawater or untreated seawater. 

MATERIAL AND METHODS 

The sampling area selected for this study is located in 
northwestern Spain (Figure 1). Mussel samples were 
collected from January to June 1982, from rafts located in 
several shellfish-growing areas, and were treated in three 
different depuration plants; two plants used chlorinated 
seawater and the other used untreated seawater. 

During the sampling period, the water salinity ranged 
from 31.7 to 34.3 ppt and the temperature oscillated 
between 13 and 19°C. Total coliform levels of the water 
in the chlorine-treated systems ranged from 230 to 830 per 
100 m2. The standard dose of chlorine for water treatment 
was 3 ppm. Treated water was dechlorinated by an appro- 
priate aeration period before the mussels were placed into 
the shellfish tanks. In the untreated system, the detected 
level of total coliforms was never higher than 9/100 mC. In 
both the treated and untreated systems the depuration time 
period was 48 hours. 

Samples were taken twice a month before and after 
depuration, transported to the laboratory in isotherm con- 
tainers, and immediately processed. Each sample was 
divided into two subsamples which were analyzed simul- 
taneously. Mussels were shucked aseptically according to 



59 



60 



Ledo et al. 




Depuration of mussels by Two Different Systems 



61 



procedures recommended for shellfish by the American 
Public Health Association (APHA 1970). One hundred grams 
( 1 00 g) of shellfish meat without mantle fluid (corresponding 
to six mussels) were weighed aseptically. After the addition 
of 1% of peptone water, the mixture (1 :9 w/v) was homoge- 
nized for 60 seconds in a sterile Waring blender. Each 
homogenate was transferred into a sterile flask and used as 
inoculum. Ten-fold serial dilutions of the homogenate were 
inoculated in triplicate on plate-count agar (Difco) and 
incubated at 37°C for 24 hours. After incubation, plates 
were counted and the results were expressed as colony- 
forming units (CFU) per gram. 

Total coliforms were estimated by the standard most 
probable number (MPN) method using three dilutions in 
three tube replication of lactose broth (LB) (Difco). Tubes 
were incubated at 35°C for 48 hours after which they were 
examined for growth and gas production (APHA 1970). 
Lactose broth tubes were reinoculated simultaneously into 
brilliant-green lactose bile broth (BGLB) (Difco) and into 
1% triptone water, then incubated in a water bath at 44.5 ± 
0.2°C for the indol test. 

Tubes showing growth and gas in BGLB were confirmed 
as fecal coliforms (FC). The MPN of Escherichia coli was 
determined from positive tubes for both tests, growth with 
gas at 44.5 ± 0.2°C and indol production. 

Fecal streptococci were determined by the MPN method 
in azide dextrose broth (Difco) at 35°C. Positive tubes of 
presumptive test were inoculated in ethylviolet-azide broth 
(Difco) at 35 C. Tubes showing violet sediment were con- 
sidered positives and the presence of fecal streptococci was 
confirmed by streaking on KF-streptococcus agar (Difco). 

Positive tubes from LB and BGLB of the MPN test were 
streaked on Levine-eosin methylene blue agar (Difco) and 
incubated at 37°C for 24 hours to isolate enterobacteria. 
Colonies were picked randomly from the plates, subcultured 
repeatedly to obtain pure cultures, and stored on agar slopes 
under mineral oil at room temperature. The isolates were 
subjected to taxonomic analysis using morphological, 
physiological and biochemical tests according to the pro- 
cedures of Edwards and Ewing (1972) and Bergey's Manual 
(Buchanan and Gibbons 1974). 

The drug-resistance patterns of the isolates were deter- 
mined by the diffusion disk assay method of Bauer et al. 
(1966) on Mueller-Hinton agar (Difco). The following anti- 
biotics and concentrations were used: ampicillin (10 jug), 
chloramphenicol (30 jug), erythromycin (15 /Jg), gentamicin 
(10 jug), polymyxin B (300 units), nalidixic acid (30 jug), 
kanamycin (30 jug), tetracycline (30 jug), and streptomycin 
(10 jug). 

RESULTS AND DISCUSSION 

The results obtained in this study of depuration levels of 
total coliforms (TC), fecal coliforms (FC), fecal strepto- 
cocci (FS). Escherichia coli, and total viable count (TVC) 
with the two systems used are shown in Table 1 and Figure 2. 



Total viable counts* 


61.5 


Total coliformsf 


30.2 


Fecal coliformsf 


63.4 


Escherichia co//f 


91.5 


Fecal streptococcif 


74.0 



In general, only small differences were observed between 
the two depuration systems. For the total viable count, 
similar values were obtained. The TVC decreased by 10-fold 
over the depuration time, but rarely went below values of 
10 3 to 10 4 CFU/g of mussel. Similar results were found by 
Lee and Pfeifer (1974) who worked with oysters depurated 
by ultraviolet irradiated seawater and, as they indicated, 
that reduction in bacterial count in shellfish could have been 
due to the persistance of a stable population of micro- 
organisms in the mussels. In addition, Thi Son and Fleet 
(1980) obtained even lower reduction levels than ours in a 
laboratory depuration system with artificially contaminated 
oysters. 

TABLE 1. 

Comparison between the reduction levels of bacterial 

pollution indicators in Mytilus edulis obtained 

in two different depuration systems. 

Percent Reduction in Systems Using 

Bacterial Indicators Chlorinated Sea Water Untreated Sea Water 

65.5 
38.6 
90.1 
89.0 
87.0 

*Determined on plate-count agar medium at 37 C and expressed as 

bacterial numbers per gram. 
tDetermined by the most probable number (MPN) method and 

expressed as MPN/ 100 g. 

The most important different in the observed depuration 
in chlorinated and untreated seawater systems was obtained 
for FC, although in both methods most (about 90%) of 
this bacterial flora was represented by E. coli. The high 
depuration levels found for this organism agreed with the 
the results obtained by Thi Son and Fleet (1980) who 
attained depuration reductions greater than 97%. 

Considering only the reduction rates for E. coli, we 
found residual counts to be within the values allowed by 
Spanish regulation (500 E. coli/9.) in both depuration 
systems. If, however, we consider other regulations that 
use the number of FC as the indicator for bacteriological 
control, then the untreated seawater system appeared to 
be the most efficient method (Table 1). The FC levels in 
this system after depuration were below the recommended 
wholesale level of < 230/100 g (Slalyj 1980) suggested by 
the U.S. National Shellfish Sanitation Program for naturally 
harvested shellfish. 

Examination of bacteria isolated from mussels showed 
that the genera Citwbacter, Enterobacter and Escherichia 
coli were detected before and after depuration whereas 
other pathogens or potential pathogens such as Salmonella 
and Yersinia were not isolated from depurated samples of 
mussels (Figure 3). The elimination of organisms such as 



62 



LEDO ET AL. 



4_. 



9 
O 



Z 

a. 



3-. 



o 2_. 



3 

LL 

O 
o 



TVC 



TC 



VA 



FC 



FS 



E.coli 



WA 



*-/A 



VA 



Chl Oc Chi Oc Chi Oc Chi Oc Oil Oc 

Figure 2. Comparison between the reduction rates of bacteriological indicators obtained by the two different methods employed. 



</) 

UJ 

_i 
0. 

s 
< 
en 



< 
t- 
z 

111 

o 
a. 

UJ 

a. 




□ BEFORE DEPURATION 
■ AFTER DEPURATION 



= O 



O 

'c 



D 



0) 

c 
o 

E 

D 
CO 



0) 



3 
0} 

o 

0_ 



o 
o 

CO 




Figure 3. Distribution of bacteria obtained from mussels before and after depuration. 

Salmonella sp., Vibrio parahaemolvticus, and other patho- these bacteria were present in mussels before and after 

gens during 48-hour depuration periods was also demon- depuration. This result supports the described higher survival 

stratedby Metcalfet al. (1973) and Thi Son and Fleet(1980). of FS with respect to other bacteriological indicators in 

Although the reduction levels obtained for FS were the marine environment (Cohen and Shuval 1972, Anson 

similar in both systems (Table 1), very high numbers of and Ware 1974). 



Depuration of Mussels by two Different systems 



63 



We determined the sensitivity of the enterobacteria 
isolated from mussels to antibiotics and chemotherapeutic 
agents; 77% of the strains displayed resistance to two or 
more antibiotics. Table 2 shows the resistance patterns of 
the most representative members of enterobacteria isolated: 
E. coli, Citrobacter, and Enterobacter-Klebsiella group. 
The percentage of E. coli strains resistant to tetracycline 
was 44.5%, with the most frequent pattern being 
erythromycin-tetracycline resistance. Most (90.8%) of the 
Citrobacter strains were resistant to streptomycin, showing as 
predominant resistance pattern erytromycin-streptomycin. 
Of the isolates belonging to the Enterobacter-Klebsiella 
group. 69.2% were resistant to ampicillin, with the 
predominant pattern erythromycin-ampicillin. 

Resistance to polymyxin and nalidixic acid was found 
only in the genus Citrobacter, whereas resistance to chloram- 
phenicol, gentamicin, and kanamycin was present only in 
E. coli and Enterobacter-Klebsiella group strains, associated 
with multi-resistant patterns. 

It has been demonstrated that plasmids present in 
enterobacteria codify drug resistance (Stewart and Kodit- 
scheck 1980), as well as a variety of characteristics like 
virulence (Elwell and Shipley 1980, Gemski et al. 1980, 
Jones et al. 1982), enterotoxin production (Gyles et al. 
1974, 1977; Mazaitis et al. 1981), and metabolic properties 
such as urease production and citrate utilization (Gavini 
et al. 1981), which could explain the relatively high number 
of unidentified strains found in our study (Figure 3). Work 
in progress indicates that these strains are multiplasmidic and 
preliminary results have been presented (Barja et al. 1982). 



TABLE 2. 

Resistance patterns at two or more antibiotics in the most 

representative members of enterobacteria 

isolated from Mytilus edulis. 



Bacterial Strains 


Resistance Patterns* 


Percentage 


Escherichia coli 


ETe 




36.1 


(36 strains)f 


ES 




8.3 




E Am 




2.8 




ESTe 




2.8 




ESC Am 




2.8 




E Te C Am 




2.8 




ESTeCKGm 


Am 


2.8 


Citrobacter 


ES 




50.0 


(22 strainslf 


E Am 




4.5 




ESTe 




18.2 




E S Am 




13.6 




ESNa 




4.5 




ESPb 




4.5 




ETePb 




4.5 


En terobacter- Klebsiella 


ES 




18.7 


(16 strains)f 


E Am 




43.7 




E Am Te 




12.5 




E S Te Am 




6.5 




E S Te C K Gm Am 


6.5 



*E, erythromycin; Te, tetracycline^, streptomycin; Am, ampicillin; 

C, chloramphenicol; K, kanamycin; Gm, gentamicin; Na, nalidixic 

acid;Pb, polymyxim. 
fNumber of strains tested. 

ACKNOWLEDGMENTS 

The authors thank Dr. Francisco Lopez Capont (Dept. 
Tecnologfa Pesquera, Facultad de Biologia, Universidad de 
Santiago de Compostela. Spain) for sampling facilities. 



REFERENCES CITED 



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Anonymous. 1972. Use of ozone in seawater for cleansing shellfish. 
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Anson, A. E. & G. C. Ware. 1974. Survey of distribution of bacterial 
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Barja, J. L., A. E. Toranzo, A. Ledo & I. Bernardez. 1982. Identifi- 
cion y resistencia a antibioticos de enterobacterias procedentes 
del analisis por NMP realizado en el proceso de depuracion del 
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Abstract. 

Bauer, A. W., W. M. Kirby, J. C. Sherris & M. Turck. 1966. Anti- 
biotic susceptibility testing by a standarized single disk method. 
Am. J. Clin. Pathol. 45:493-496. 

Buchanan, R. E. & N. E. Gibbons. 1974. Bergey's Manual of Deter- 
miniative Bacteriology. 8th ed., Baltimore, MD: Williams and 
WilkinsCo. 1268 pp. 

Cohen, J. & I. J. Shuval. 1972. Conforms, fecal coliforms and fecal 
streptococci as indicators of water pollution. Water Air Soil 
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Dogson, R. W. 1928. Report on mussel purification. Fish. Invest. 
Ser. II. Fish. G.B. Minist. Agric. Fish. Food 10(1):498 pp. 

Edwards, P. R. & W. H. Ewing. 1972. Identification of Entero- 



bacteriaceae. 3rd ed., Minneapolis, MN: Burgess Publishing Co. 

362 pp. 
Elwell, L. & P. L. Shipley. 1980. Plasmid irradiation factors associ- 
ated with virulence of bacteria to animals. Am. Rev. Microbiol. 

34:465-496. 
Fleet, G. H. 1978. Oyster depuration: a review. Food Technol. 

Aust. 30:444-454. 
Furfari, S. A. 1976. Shellfish purification: a review of current 

technology. FAO Tech. Conf. Aquaculture. FIR/AQ/Conf./ 

79/R.II. Kyoto, Japan. 
Gavini, F., D. Izard, P. A. Tinel, B. Lefebvre & H. Leclerck. 1981. 

Etude de taxonomique d'enterobacterie's appartenant ou 

apparente'es a l'especie/T. coli. Can. J. Microbiol. 27:98-106. 
Gemski, P., J. R. Lazere.T. Casey & J. A. Wohlhieter. 1980. Presence 

of a virulence associated plasmid in Yersinia pseudotuberculosis. 

Infect. Immun. 26:1044-1047. 
Gyles, G. L., M. So & S. Falkow. 1974. The enterotoxin plasmids of 

Escherichia coli. J. Infect. Dis. 130:40-49. 
Gyles, G. L., S. Pachaudhuri & W. K. Mass. 1977. Naturally occurring 

plasmid carrying genes for enterotoxin production and drug 

resistance. Science 198:198-199. 
Huntley, B. E. & R. J. Hammerstrom. 1971. An experimental 

depuration plant: operation and evaluation. Chesapeake Sci. 

12:231-239. 



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LEDO ET AL. 



Jones, G. W., D. K. Kabert, D. M. Suinarich & H. J. Witfield. 1982. 
Association of adhesive, invasive and virulent phenotypes of 
S. typhimurium with autonomous 60-Md plasmids. Infect. 
Immun. 38:476-486. 

Kelly, C. B. 1961. Disinfection of seawater by UV radiation. Am. J. 
Public Health 51:1670-1680. 

Lee, J. S. & D. Pfeifer. 1974. Influences of recovery media and incu- 
bation temperatures on the types of microorganisms isolated 
from seafoods. /. Milk Food Technol. 37:553—556. 

Maizaitis, J. A. & R. Mass. 1981. Structure of a naturally occurring 
plasmid with genes for entero toxin production and drug resistance. 
J. Bacteriol. 145:275-282. 

Metcalf, T. G., B. Mullin. D. Eckerson, E. Moulton&E. Larkin. 1979. 
Bioaccumulation and depuration of enteroviruses by the soft- 
shelled clamAfva arenaria. Appl. Environ. Microbiol. 38:275-282. 

Neilson, B. J., D. S. Haven, F. O. Perkins, R. Morales-Alamo & M. W. 
Rhodes. 1978. Bacterial depuration by the American oyster 
Crassostrea virginica under controlled conditions. II. Practical 
considerations and plant design. Va. Inst. Mar. Sci. Spec. Rep. 
No. 88:48 pp. 



Reynolds, N. 1956. A simplified system of mussel purification. 

Fish. Invest. Sen II. Fish. G.B. Minist. Agric. Fish. Food 20(8): 

18 pp. 
Slalyj, B. M. 1980. Storage and processing of mussels. Lutz, R. A., 

ed. Mussel Culture and Harvest: A North American Perspective. 

Development in Aquaculture and Fisheries Science. 7:247-265. 

Amsterdam, The Netherlands: Elsevier Sci. Publ. Co. 
Souness, R. A., R. G. Bowrey & G. H. Fleet, 1979. Commercial 

depuration of the Sydney rock oyster Crassostrea commercialis. 

Food Technol. Aust. 31:531-537. 
Stewart, K. R. & L. Koditschek. 1980. Drug resistance transfer in 

Escherichia coli in New York Bight sediment. Mar. Pollut. Bull. 

11:130-133. 
Thi Son, N. & G. H. Fleet, 1980. Behaviour of pathogenic bacteria 

in the oyster, Crassostrea commercialis during depuration, 

relaying and storage. Appl. Environ. Microbiol. 40:994-1002. 
Wood, P. C. 1961. The principles of water sterilization by the 

ultraviolet light and their application in the purification of 

oysters. Fish. Invest. Ser. II. Fish. G.B. Minist. Agric. Fish. Food 

23(6):48 pp. 



Journal of Shellfish Research. Vol. 3. No. 1, 65-69. 1983. 



DOCUMENTATION AND IMPLICATIONS OF RAPID SUCCESSIVE 

GAMETOGENIC CYCLES AND BROODS IN THE SHIPWORM 

L YRODUS FLORIDANUS ( BARTSCH ) 

(BIVALVIA, TEREDINIDAE) 



C. B. CALLOWAY AND R. D. TURNER 

Harvard University 

Cambridge, Massachusetts 02138 

ABSTRACT A pair (male and female) of the shipworm Lyrodus floridanus (Bartsch) was removed from the wood and 
observed over a period of 39 days. The female of this short-term larviparious species broods its larvae in its gills to the 
straight-hinge stage and then releases them en masse. Gametogenic cycles and brood periods were concurrent and regular, 
averaging 6.12 (N = 4) and 5.02 (N = 5) days in length, respectively. Problems associated with observing gametogenic cycles 
and brood periods in single animals, as well as the importance of such data in life-history studies, are discussed. Life history 
data on L. floridanus support its removal from the synonymy of/,, pedicellatus and establish it as a distinct species. 

KEY WORDS: Teredinidae, Lyrodus, brooding, gametogenic cycles, veliger larvae, spawning, reproductive cycles. Bivalvia 



INTRODUCTION 

Lyrodus floridanus (Bartsch), a species of wood-boring 
bivalve, is found in Florida and probably throughout the 
Caribbean. It is closely related to the common Californian, 
but probably widely distributed, Lyrodus pedicellatus 
(Quatrefages) and, generally, cannot be distinguished from 
that species on the basis of shells and pallets (Turner 1966, 
Turner and Johnson 1971). While studying the reproductive 
biology of L. pedicellatus, a long-term brooder that releases 
its larvae in the pediveliger stage, we found that specimens 
from Florida differed by releasing their larvae in the straight- 
hinge stage (i.e., they were short-term brooders). This was 
first noted by Turner and Johnson (1971), but at that time 
it was thought that under stressed conditions L. pedicellatus 
might release straight-hinge larvae. We now realize that 
L. floridanus is a distinct species with a reproductive pattern 
like that of Teredo navalis Linnaeus. In both of these species, 
eggs are spawned into the suprabranchial cavity and passed 
into the water tubes of the gills where they develop to the 
straight-hinge stage. They are then released en masse and 
complete their development to the pediveliger stage in the 
plankton. 

To compare fecundities of different species, in this case, 
L. pedicellatus and L. floridanus, it is necessary to know 
the number and sizes of gametogenic cycles (oviparous and 
brooding species) or broods (brooding species) for individual 
specimens. Observations of this type were made using a 
pair (male and female) of L. floridanus and form the basis 
of this paper. 

MATERIALS AND METHODS 

Animals used in this study were obtained from collecting 
panels exposed in the intracoastal waterway at Pompano 
Beach, Florida, from 26 October 1978 to 26 February 1979. 
Panels were hand-carried to Harvard University, Cambridge, 



Massachusetts, on 27 February, and placed in an Instant 
Ocean aquarium with natural sea water at 19 to 20 C and 
32 ppt. They were dissected on the evening of 27 February 
(day 1 ) and two uninjured specimens, one male and one 
female, of Lyrodus floridanus (Bartsch), the predominant 
species found in the panels, were placed in a finger bowl 
with 200 m2 of 0.22-/im filtered sea water and maintained 
in an illuminated incubator at 19 to 20°C. The water and 
the bowl were changed daily to prevent the build up of 
bacteria. Because some shipworms are capable of supple- 
menting their diet of wood with phytoplankton (Dean and 
Back 1979, Pechenik et al. 1979), the animals were fed 
Isochrysis galbana, a naked flagellate, after each water 
change at a final concentration of 4 X 10 4 cells/m£. Obser- 
vations on the condition of the gonads and gills of the 
female were made at each water change and often at shorter 
intervals to determine the time of spawning and larval 
release. Although spawning of the male was not observed 
nor was any obvious change in size of the gonads evident, 
sperm were seen attached to eggs aborted by the female. 
When the experiment was terminated upon the death of the 
female on day 39, gonadal smears of both animals were 
examined and their sexes confirmed. 

RESULTS 

Shipworms are good animals for an observational study 
of this type because the visceral mass, pericardium, gonads 
and gills, which are located posteriorly to the shell, are 
clearly visible through the translucent mantle (Figures 1-4). 
Once the animal is removed from the wood, it is possible 
to observe development of the gonads and growth of the 
larvae without disturbing the animal. The gonads are 
located between the pericardium and the wood-storing 
caecum, and the genital ducts open into the suprabranchial 
cavity posteriorly to the visceral ganglion (Figures 1-4). 



65 



66 



Calloway and Turner 




Figures 1 through 4. Lyrodus floridanus. Intact animal showing major anatomical features through the translucent mantle. (1) Left lateral 
view of an adult female that is brooding straight-hinge larvae in the gill. The enlarged ovaries indicate that it is in the latter stages of a 
gametogenic cycle (2.7X). (2) Enlargement of anterior end of animal in Figure 1. Note straight-hinge larvae in gills and the enlarged ovaries 
(4.3X). (3) Left lateral view of an adult female that has recently released larvae (gills are empty). The greatly enlarged ovaries indicate that 
spawning is imminent (2.7X). (4) Enlargement of anterior end of animal in Figure 3 (4X). Legend: A, auricle; F, foot;G, gill;GL, gill with 
larvae; O, ovary; P, pallets; PC, pericardium; S, siphon ;SH, shell. Scale bar = 5 mm. 



Immediately after spawning the lumina of the ovarian 
follicles and tubes are empty and appear as clear mantle- 
colored tissues arranged in a dendritic pattern on the surface 
of the caecum. The first observable change in the ovaries as 
gametogenesis proceeds is the appearance of oocytes in 
the lumina of the follicles. As the number of oocytes 
increases, the follicles enlarge, obscuring the dendritic 
pattern, and the ovaries begin to turn white (Figures 1 and 
2). Just before spawning, greatly enlarged white ovaries 
completely cover the caecum laterally and dorsally and 
extend posterodorsally to terminate at the opening of the 
genital ducts (Figures 3 and 4). 

Spawning is rapid, probably less than one hour in dura- 
tion. At the conclusion of spawning the gonads are empty 
and clear. The eggs pass from the suprabranchial chamber 
into the water tubes of the gill, thereby turning the dorsal 
portion of the gills white. As development progresses the 
color of the gills change from white, when they contain 
eggs, embryos, or trochophore larvae, to pale lilac as the 
embryonic shell (prodissoconch I) forms, and then gradually 
to a bright lilac as the prodissoconch II begins to develop 



and the larvae reach the straight-hinge stage. [The terms 
prodissoconch I and prodissoconch II are used in the sense 
of Waller (1981).] As the prodissoconch II begins forming, 
individual larval shells can be seen within the gill. Similar 
to spawning, larval release is rapid, probably requiring less 
than one hour. The larvae pass from the water tubes of the 
gill to the suprabranchial cavity and are expelled from the 
parent through the excurrent siphon. They develop to the 
settlement stage, competent pediveligers, as planktotrophic 
larvae. 

One reproductive cycle, defined here as the time from 
one spawning to the next, is divisible into two parts that are 
readily observable by an examination of the gills. During 
the brood period, the time from spawning until larval 
release, the gills contain eggs, embroys, or larvae (Figures 1 
and 2); during the empty period, the time from larval 
release until spawning, the gills are empty (Figures 3 and 4). 

Observation of the animals continued until the female 
died on day 39. During this period, we observed four com- 
plete and two incomplete gametogenic cycles as well as five 
brood periods. The first gametogenic cycle was underway 



Gametogenic cycles and Broods in the Shipworm 



67 



when the animal was removed from the wood and the last 
cycle was in progress when the female died. Larvae from all 
five broods appeared normal. Straight-hinge larvae from 
brood 1 at the time of release measured 77.8 ± 1.4 jum long, 
66.2 ± 1 .6 fini high, and had a hinge length of 43.7 ± 0.3 ^im 
(N = 20). These measurements agree closely with the size 
of larvae released from undisturbed animals living in wood 
(79.4 ± 4.2 jum long, 70.0 ± 1.4 urn high, and a hinge line 
of 47.4 ± 1.1 jum; N = 20). A small number of eggs was 
expelled from the parent at each spawning. Eggs in the 
germinal vesicle stage had a diameter of 52.0 ± 0.6 /im 
(N = 20) and approximated the size of the eggs of Teredo 
navalis (50 to 55 jum) reported by Culliney (1975). 
Throughout the remainder of the brood period very few 
larvae were released from the gills and these were usually 
associated with mechanical disturbance caused by changing 
the water and bowl. 

Figure 5 is a diagrammatic representation of the gameto- 
genic cycles and brood periods constructed from observa- 
tions of the times of spawning and larval release. Times of 
spawning and larval release are designated as the midpoints 
between the times of successive observations (Figure 5). We 



recognize that Figure 5 is a qualified representation of the 
data. First, gametogenic cycles are considered to begin 
directly after spawning. This is not necessarily so. Although 
follicles appear empty at this time, gametogenesis could 
have already begun. Conversely, a period may exist between 
spawning and gametogenesis. Such a period would, however, 
be short because oocytes are seen in the ovarian follicles 
within one day after spawning. Second, the length of gameto- 
genesis is unknown. Consequently, in Figure 5, gametogenic 
cycles are drawn as straight lines. The ovary fills gradually 
and empties rapidly. Third, the magnitudes of gametogenic 
cycles and brood periods are not quantified. They are repre- 
sented simply as the condition of the gonads and gills. 
During our observations the size of the full gonads and gills 
did not differ perceptibly from gametogenic cycle to 
gametogenic cycle and from brood to brood. Therefore, 
magnitudes of both the gametogenic cycles and brood 
periods are diagrammed equally. It should be noted that the 
gills were empty during gametogenic cycle 1. The probable 
explanation for this is that, as so often happens when 
animals are removed from the water for long periods of 
time during transport to the laboratory, larvae are aborted 



Full 

O -r- 

< 

z 
o 
o 



Emptv- 



FulL 



Z 
O 



□ 

z 
o 



Empty. 



/ Gametogenic 
Cycle 1 



/, 



/ 

Gametogenic 
Cycle 2 



/ Gametogenic 
/ Cycle 3 



/ 



/ 

Gametogenic 



. Cycle 4 



/ 



/ 



/ 



/ 



/ 



/ 



Gametogenic 



, Cycle 5 



/ 



/ 



/ 



/ 



/ 



S 



/ 



/ 



/ 



Brood 1 



Brood 2 



Brood 3 



Brood 4 



Brood 5 



Spawn 



Larval Release 



2 * 



1 ' I ' i i i l iiti|i ii i|i iii| iiii|ii ■ — i | i — ■ i i 

5 10 15 20 25 30 35 40 



TIME (IN DAYS) 



Figure 5. Diagrammatic representation of gametogenic cycles and brood periods constructed from the times of spawning and larval release 
observed in a single female Lyrodus floridanus. Spawning and larval release periods are figured as midpoints of successive observations. 



68 



Calloway and Turner 



at the time the panel is put into the aquarium. There were 
no larvae in the gills when the animal was dissected from 
the wood but gametogenic cycle 1 was underway. The 
greater length of this cycle possibly resulted from trauma 
induced by the collecting and dissecting procedures. 

It is apparent from Figure 5 that: (1 ) gametogenic cycles 
are concurrent with brood periods so that the animals are 
ripe at the time of larval release and spawning of the next 
cohort occurs almost immediately, leaving only a short 
period when the gills are empty; and (2) durations of the 
gametogenic cycles and brood periods are regular, having 
mean times of 6.12 ± 0.49 days (N = 4) and 5.02 ± 0.38 
days (N = 5), respectively. Our observations of the brood 
period of five days in Lyrodus floridamis maintained at 19 
to 20°C are in close agreement with the report of a 5-day 
brood period in Teredo navalis grown at 25 °C (Culliney 
1975). 

DISCUSSION 

Breeding seasons of shipworms are largely based on 
field collections or panel studies because breeding seasons 
correspond roughly to dates of larval settlement (Schel tenia 
and Truitt 1954, Nair and Saraswathy 1971). Characteris- 
tically, larvae settle throughout the year in most tropical 
marine areas and seasonally in high latitudes or areas of 
varying salinity. Three major life-history patterns are known 
for the Teredinidae: oviparous, short-term larviparous, and 
long-term larviparous (Turner 1966, 1971; Turner and 
Johnson 1971 ). We know the duration of the free-swimming 
larval period and relative fecundities per brood for these 
various life styles. Some estimates of numbers of eggs or 
larvae released during a given reproductive cycle have been 
published. For example, Sigerfoos (1908) estimated that a 
large female of Teredo dilatata Stimpson (= Psiloteredo 
megotara [Hanley] ), an oviparous species, releases 10 8 eggs 
in a single spawning; Grave (1928) stated that a large speci- 
men of Teredo navalis, a short-term brooder, produces 5 X 
10 s to 10 6 eggs per spawning; and Karande et al. (1968) 
reported that the brood of a 50-day old female of Teredo 
furcifera von Martens, a long-term brooder, contained 
7X 10 3 larvae. 

Two vital life-history statistics are missing for all of these 
species, i.e., the number and the size of broods and gameto- 
genic cycles that occur during the life time of a given 
individual. Without these data we cannot determine total 
fecundity of an individual nor can we meaningfully com- 
pare fecundities of species with different reproductive 
patterns. The most direct way to obtain these data is to 
observe single animals; however, in the Teredinidae this 
type of study is not without problems. To observe indi- 
vidual shipworms, we removed them from the wood and 
could feed them only on phytoplankton. The animals were 
undoubtedly stressed, but. nevertheless, the durations of 
the gametogenic cycles and brood periods were typical of 
those for Teredo navalis and probably for other short-term 



larviparous species. If one could have only a single animal 
per panel and could pair a male and a female in the same 
aquarium the problem of stress would largely be eliminated. 
It would then be possible to observe times of spawning in 
oviparous species or larval release in larviparous species. 
Unfortunately, in the case of larviparous species, only the 
number of broods and the length of the reproductive cycle 
could be determined because spawning could not be 
observed. It is, of course, impossible to obtain data from 
the same animal on both the total number of eggs or larvae 
produced and the time course of gametogenesis, because 
the latter would require histological examination. However, 
the magnitude of each brood can be determined by 
counting eggs spawned or larvae released. In larviparous 
species, if it is assumed that no wholesale disintegration of 
eggs or embryos occurs in the gills (we have seen no evidence 
of this), then the number of eggs produced per gametogenic 
cycle can be determined indirectly as the sum of aborted 
embryos, aborted larvae, and released larvae. 

Crisp and Davies (1955) have shown that if the values of 
reproductive cycles and brood periods do not vary widely 
about their means, then the fraction of the population 
which is brooding is equal to the mean brood period divided 
by the mean reproductive period. If the durations of the 
brood and reproductive periods recorded for the single 
Lyrodus floridamis which we observed are representative 
of the population of L. floridamis in our test panels, then 
87% of these animals would be brooding at a given time. 
During the breeding season (which in Florida extends at 
least from February through September and is probably 
year around), we have often noted that the vast majority of 
specimens dissected from the test panels were indeed 
brooding. 

This study, which began as a fortuitous observation, 
dramatically illustrates another large gap in our knowledge 
of the reproductive biology of the Teredinidae. A survey of 
the marine invertebrate literature indicates that studies of 
the reproduction of single animals with time are rare. The 
paper on breeding of the barnacle Elminius modestus, 
by Crisp and Davies (1955), is an excellent example of how 
such investigations might be designed. 

CONCLUSIONS 

The documented rapid successive broods and gameto- 
genic cycles in Lyrodus floridamis were unexpected and 
explain why a large percentage of the animals in our 
collecting panels contained eggs and larvae. These brood 
periods and gametogenic cycles may also explain the 
population explosions of short-term larviparous species that, 
when introduced into a new area, may surpass native ovi- 
parous species. 

Turner (1966) considered L. floridanus a synonym of 
L. pedicellatus mainly on the basis of shells and pallets of 
preserved specimens. After observing living specimens in 
Puerto Rico, Turner and Johnson (1971) suggested that 



Gametogenic Cycles and broods in the shipworm 



69 



the pedicellatus-\ike Lyrodus, which released large numbers 
of straight-hinge larvae, might be another species. Results 
of the present research, combined with our unpublished 
observations on morphological differences of the brood 
pouches and of larvae, confirm the earlier suspicions of 
Turner and Johnson (1971) that L. floridanus and/,, pedi- 
cellatus are distinct species. The former broods its larvae 
only to the straight-hinge stage and then releases them 
en masse; the latter broods to the pediveliger stage, carries 
several cohorts of larvae at different stages of development, 
and releases only a few young at a time. Unfortunately, 
young and nonbreeding specimens of these two species are 
difficulty, if not impossible, to distinguish. 



ACKNOWLEDGM ENTS 

We are grateful to Ms. Paula Wagner for exposing and 
retrieving the collecting panels, to Mr. Walter Baranowski 
for drafting the figure, and to Drs. R. M. Woollacott and 
J. A. Pechenik for reading the manuscript. The research was 
supported by ONR Contract No. N00014-76-C-0281, 
Nr 104-687 with Harvard University. 

This paper was presented at the Nakhodka Symposium 
on Physiology and Biochemistry of Adaptations in Marine 
Animals in August 1979, as part of the 14th Pacific Science 
Congress held at Khabarovsk, USSR. 



REFERENCES CITED 



Crisp, D. J. & P. A. Davies. 1955. Observations in vivo on the 
breeding of Elminius modestus grown on glass slides. J. Mar. 
Biol. Assoc. U.K. 34:357-380. 

Culliney, J. L. 1975. Comparative larval development of the ship- 
worms Bankia gouldi and Teredo navalis. Mar. Biol. (Berl.) 
29:245-251. 

Dean, R. C & G. G. Back. 1977. Suspension feeding on the ship- 
worm Bankia gouldi (Mollusca; Bivalvia). Am. Zool. 17:948. 

Grave, B. H. 1928. Natural history of shipworm, Teredo navalis, at 
Woods Hole, Massachusetts. Biol. Bull. (Woods Hole) 55:260-282. 

Karande, A. A., K. Balasubramanian & S. Prema. 1968. Development 
of a laboratory method for bio-assay of candidate toxins against 
teredid wood borers. Proc. Symp. Mollusca, Mar. Biol. Assoc. 
India: p. 736-745. 

Nair, N. B. & M. Saraswathy. 1971. The biology of wood-boring 
teredinid molluscs. Adv. Mar. Biol. 9:335-509. 

Pechenik, J. A., F. E. Perron & R. D. Turner. 1979. The role of 
phytoplankton in the diets of adult and larval shipworms, 



Lyrodus pedicellatus (Bivalvia: Teredinidae). Estuaries 2:58-60. 
Scheltema, R. S. & R. V. Truitt. 1954. Ecological factors related 

to the distribution of Bankia gouldi Bartsch in Chesapeake Bay. 

Chesapeake Biol. Lab. Publ. 100:3-31. 
Sigerfoos, C. P. 1908. Natural history, organization, and late 

development of the Teredinidae, or ship-worms. Bull. U.S. Bur. 

Fish. (1907)27:191-231. 
Turner, R. D. 1966. A Survey and Illustrated Catalogue of the 

Teredinidae (Mollusca: Bivalvia). Cambridge, MA: Harv. Univ. 

Mus. Comp. Zool. 265 p. 

. 1971. Australian shipworms. Aust. Nat. Hist. 17:139-145. 

& A. C. Johnson. 1971. Biology of marine wood-boring 

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Smithson. Contrib. Zool. 328:1-70. 



Journal of Shellfish Research, Vol. 3, No. 1, 71-73, 1983. 



RESEARCH NOTE 

SETTLEMENT OF SPAT OF THE PURPLE-HINGE ROCK 

SCALLOP HINNITES MULTIRUGOSUS (GALE) 

ON ARTIFICIAL COLLECTORS 



C. F. PHLEGER AND S. C. CARY 

Department of Natural Science 
San Diego State University 
San Diego, California 92182 

ABSTRACT Various artificial collectors were tested to obtain spat of the purple-hinge rock scallop Hinnites multirugosus 
(Gale). These included plastic-mesh onion bags which were filled with nylon monofilament (gillnet), monofilament dipped 
in cement, chaparral sticks, and a combination of sticks and empty scallop shells. The collectors were placed near a rock 
scallop population in Mission Bay, San Diego, CA. The length of exposure and spatfall by season were also investigated. 
Spat recruitment was greatest in gillnet collectors immersed for 3 to 4 months between late March and July. Up to 47 spat 
of//, multirugosus (7 to 12 mm L) per gillnet bag were caught. Numerous spat of the blue musselMvf!7i« edulis Linne and 
the wide-eared scallop Leptopecten latiauratus (Conrad) also settled in the gillnet collectors. 

KEY WORDS: Rock scallop, Hinnites, spat collectors, spatfall, spat recruitment, aquaculture, mariculture. 



INTRODUCTION 

The purple-hinge rock scallop Hinnites multirugosus 
(Gale) ranges from central Baja California to southern 
Alaska and is common from the low-tide mark to 55 m 
(Abbott 1974). Unlike the Atlantic bay scallop A rgopecten 
irradians (Lamarck) and the Atlantic deep-sea scallop 
Placopecten magellanicus (Gmelin), which are free-swimming 
as adults, H. multirugosus cements itself to firm substrate 
after a 6-month, free-swimming, juvenile (spat) stage. Like 
the bay scallop it may temporarily attach by byssal threads. 
The sessile nature of the adult has promoted considerable 
aquaculture research with this species (Leighton and 
Phleger, 1976, 1977, 1981; Cary et al. 1981). During this 
study we addressed the problem of obtaining spat in 
sufficient numbers for research or aquaculture development 
and we employed experimental spat collectors to determine 
the best settlement substrate, the appropriate immersion 
time, and the period of greatest spatfall. 

Spat of the Japanese scallop Patinopecten yessoensis( Jay ) 
can be collected with 1-mm mesh bags that contained mono- 
filament gillnetting (Ito et al. 1975). Spat of .P. magellanicus 
have been collected in 1.5-mm mesh onion bags which were 
filled with monofilament gillnetting (Naidu et al. 1981). 
Spat of the common European scallop Pecten maximus 
(Linne) have been collected with Netlon®mesh envelopes 
which contained nylon and plastic meshes and teased poly- 
propylene rope (Brand et al. 1980). Thin monofilament 
nylon has also been used as a substrate for settlement of 
spat of the Iceland scallop Chlamys islandica (Miiller) 
(Wallace 1981/82). 

The molluscan taxonomy follows that of Abbott (1974) 
for all but a few of the common bivalve names. 



MATERIALS AND METHODS 

Two principle types of spat collectors were used in 
this study: (1) onion bags that contained 600 to 900 g of 
loose, aquamarine monofilament (twine size #14, gill- 
netting), and (2) plastic screen bags that were filled with 
dry chaparral sticks. All of the bags were 42 X 75 cm and 
1.0 to 1.5-mm mesh size. Spat bags were tied to concrete 
pier pilings at a depth of 3 to 4 m and 3 m above the bottom 
on the Ventura Bridge, Mission Bay, San Diego, CA, among 
a large population of purple-hinge rock scallops. All deploy- 
ment and retrieval of the spat bags were accomplished by 
skin divers. 

Scallops often attach to cement pilings. A series of spat 
bags which contained gillnetting were partially coated with 
Redi-Crete® cement to test its effectiveness as an attractant. 
The cement dried and adhered readily to the monofilament 
strands. Old rock scallop shells were included in a group of 
screen bags (20 shells per bag) which also contained chaparral 
sticks to act as an inducement for settling scallop spat. 

Spat collectors were placed in the bay during the two 
rock scallop spawning periods, late spring and late fall 
(Jacobsen 1977). Fourteen gillnet bags (seven dipped in 
cement) were placed in Mission Bay during December 1981, 
and retrieved in March 1982. Twelve gillnet bags (without 
cement) were placed in the same location and at the same 
depth during March and June 1981. To determine the time 
of spat settlement and seasonal growth rate, three bags 
were retrieved at monthly intervals from June to September 
1981. Screen- spat bags with chaparral sticks were placed in 
the same Mission Bay location as the gillnet bags during 
spring 1981. Eight stick-filled bags were placed in the bay 
during April, May, and June 1981, and retrieved at 3-month 



71 



72 



PHLEGER AND Cary 



intervals. After retrieval, the spat bags were transferred to a 
dock in Mission Bay and all newly settled scallops were 
removed and counted. Because numerous invertebrates 
attached to the gillnetting in addition to the rock scallops, 
the gillnetting was repeatedly washed and shaken in sea 
water in shallow plastic tubs to separate and recover the 
spat and associated organisms. 

RESULTS AND DISCUSSION 

The spat of//, multirugosus were most abundant on the 
gillnet collectors. Up to 47 spat occurred per bag and ranged 
in length from 2 to 12 mm (mean lengths = 4 to 7 mm). 
Plastic screen bags of sticks were much less effective in 
attracting the spat. The total numbers of spat in the stick- 
filled bags ranged from to 6, and spat lengths ranged from 
3 to 9 mm (mean lengths = 5 to 7 mm). All 26 of the gillnet 
spat collectors contained rock scallop spat, while only 6 of 
the 24 stick-filled collectors from the same location con- 
tained rock scallop spat. A Student's T-test showed no 
significant difference at the p = 0.01 level between H. 
multirugosus recruitment on cement-dipped gillnetting and 
undipped gillnetting (Table 1). The addition of old scallop 
shells to the stick-filled bags did not increase recruitment. 
No rock scallop spat settled in two sets of four stick-filled 
bags with and without old scallop shells which were set in 
the bay at the same time and location. The success of 
gillnetting versus other substrates may reflect its larger area 
for attachment and subsequent growth of the scallop larvae 
and spat. 

Spat of the wide-eared (bay) scallop Leptopecten 
latiauratus (Conrad) were invariably present in numbers of 
up to 437 in gillnet collectors and up to 206 in stick-filled 
collectors. Approximately 50% of the spat of/,, latiauratus 
were dead (single shells or fragments), whereas all of the 
spat of H. multirugosus were alive in the overwintered 
gillnet collectors. Two bags with low numbers of spat (bags 
2 and 3, without cement. Table 1) were torn open and 



contained entangled fish hooks. Up to 100 living crabs 
(Cancer spp.) were observed in the torn bags. 

The time of spat settlement is important in the deploy- 
ment of collectors for rock scallop spat. More spat attached 
during the spring and early summer than during the pre- 
ceding winter at the same location in Mission Bay. The 
numbers of spat of//, multirugosus per bag ranged from 14 
to 43 during three months in spring (24 March to 24 June 
1982). The numbers of spat collected during the preceding 
winter (Decmeber 1981 to March 1982) ranged from 2 to 
24 (Table 1). In our previous study of recruitment of rock 
scallops on the undersides of rock jetties in Mission Bay 
during 1976 and 1977 (Leighton and Phleger 1981), we 
also found small juveniles (3 to 10 mm, length) to be 
abundant during late spring and early summer. Spatfall data 
from the stick-filled bags showed that recruitment ceased 
during May 1982. Eight stick-filled bags which were deployed 
on 24 April 1982 and recovered on 24 June 1982 contained 
16 spat (mean length = 6 mm). Spat length data suggest 
that recruitment occurred only in March and April because 
2-mm spat were about 2 months post-settlement. Spring 
(March to April), therefore, appears to be the most appro- 
priate time for deploying spat collectors for//, multirugosus 
in southern California. 

The fact that spat collectors, which were deployed during 
spring and early summer, also contained large numbers of 
spat of the blue mussel Mytilus edulis Linne (2,000 to 
10,000 per bag) suggests that the rock scallop spatset may 
have been much greater if there had not been such apparent 
competition for setting space. Spat collectors that contained 
gillnetting and that were over-wintered in the bay contained 
only a few hundred blue mussel spat each. Other inverte- 
brates whichwere recovered from the spat collectors included 
free-living flatworms, juvenile gastropods, Hemphil's 
swimming scallop Lima hemphilli Hertlein and Strong, 
juveniles of Chione sp., pholad clams, polychaete scale and 
serpulid worms, brachyuran crabs including Cancer sp., 



TABLE 1. 

Results of trials with dipped and undipped spat collectors deployed in Mission Bay, San Diego, California 

between December 1981 and March 1982. 





Cement-Dipped M 


onofilament Gillnetting 






Monofilament Gillnetting Withoi 


t Cement 






Leptopecten 


Hinnites 


Percent of Total 




Leptopecten 


Hinnites 


Percent of Total 


Bag No. 


latiauratus 


multirugosus 


(H. multirugosus) 


Bag No. 


latiauratus 


multirugosus 


/H. multirugosus) 


1 


134 


10 




7.5 


1 


115 


5 




4.3 


2 


151 


16 




10.6 


2 


32 


4 




12.5 


3 


172 


24 




14.0 


3 


9 


4 




44.4 


4 


113 


4 




3.5 


4 


164 


6 




3.7 


5 


114 


2 




1.8 


5 


175 


10 




5.7 


6 


90 


3 




3.3 


6 


92 


6 




6.5 


7 


206 


6 




2.9 


7 


86 


14 




16.3 


Totals 


980 


65 




6.6 


Totals 


673 


49 




7.3 


Means 


140 


9 






Means 


96 


7 







RESEARCH NOTE 



73 



isopods. amphipods, arborescent bryozoans, juveniles of 
the seastars Pisaster spp. and Asterina miniata (Brandt), 
and the tunicate Ciona intestinalis (Linne). A few fish in 
the genera Hyposoblennius and Girella were also recovered 
from the spat collectors. 

Spat collectors should not be deployed in the bay for 
more than 4 months at a time. After 6 to 7 months of 
immersion, numerous spat of H. multirugosus and almost 
all spat of L. latiauratus were dead; we recovered mostly 
single, empty, and many fragmented shells. The definitive 
causes of spat mortality are unknown. Possible causes 
include (1) anoxia detected in the spat collectors (H 2 S odor 
and black sediment) which were held for 5 to 6 months, 
and (2) crab (Cancer sp. and another unknown species) and 
seastar (Pisaster spp.) predation. In some cases 25 to 100 
crabs were recovered from infested spat collectors. We do 
not know why anoxia and crab predation did not occur prior 
to 5 or 6 months of exposure. The shells of/,, latiauratus 
appear to be thinner than those of H. multirugosus and. 
therefore, more susceptible to crab predation. Spat collectors 



that were deployed for 3 to 4 months contained live spat 
of//, multirugosus, but only empty or fragmented shells of 
L. latiauratus. 

This study indicated that spat collectors may represent a 
practical method of obtaining large numbers of juveniles 
(spat) of the purple-hinge rock scallop for an aquaculture 
industry. Seasonability and total immersion time appear to 
be the major factors that control the deployment and 
effectiveness of spat collectors for//, multirugosus. 

ACKNOWLEDGMENTS 

We thank K. S. Naidu for providing 14 onion bag spat 
collectors which contained gillnetting; D. L. Leighton pro- 
vided advice and helped identify some of the invertebrates 
in the collectors; and C. Wheatley, C. Papworth, and 
N. Phleger provided field assistance. This research was 
funded in part by NOAA, National Sea Grant College 
Program, Department of Commerce, under Grant No. 
NOAA-04-8-MOI-189, project R/A-44, and by the 
California Resources Agency. 



REFERENCES CITED 



Abbott, R. T. 1974. American Seashells: Vie Marine Mollusca of 

the Atlantic and Pacific Coasts of North America. (2nd ed.) 

New York, NY: Van Nostrand ReinholdCo. 
Brand, A. R., J. D. Paul & J. N. Hoogesteger. 1980. Spat settlement 

of the scallop Chlamys opercularis (L.) and Pecten maximum 

(L.) on artificial collectors. J. Mar. Biol. Assoc. U.K. 60:379-390. 
Cary, S. C, D. L. Leighton & C. F. Phleger. 1981. Food and feeding 

strategies in larval and early juvenile purple-hinge rock scallops 

Hinnites multirugosus (Gale). J. World Maricul. Soc. 12(1): 

156-169. 
Ito, S., H. Kanno & K. Takahashi. 1975. Some problems on culture of 

the scallop in Mutsu Bay.Bull.Mar. Biol. Stn.Asamushi 15:89-100. 
Jacobsen, F. R. 1977. The reproductive cycle of the purple-hinge 

rock scallop, Hinnites multirugosus (Gale) (Mollusca: Bivalvia). 

San Diego, CA: San Diego State Univ. 75 p. Thesis. 



Leighton, D. L. & C. F. Phleger. 1976. Preliminary studies on the 
aquaculture potential of the Pacific Coast purple-hinge rock 
scallop. Proc. World Maricul. Soc. 7:213 (abstract). 

. 1977. The purple-hinge rock scallop: a new candidate 

for marine aquaculture. Proc. World Maricul. Soc. 8:457-469. 

. 1981. The suitability of the purple-hinge rock scallop 

to marine aquaculture. San Diego State Univ., Center for Marine 
Studies. Sea Grant Technical Rep. No. T-SCSGP001. 85 p. 

Naidu, K. S., F. M. Cahill & D. B. Lewis. 1981. Relative efficacy of 
two artificial substrates in the collection of sea scallops 
{Placopecten magellanicus) spat. J. World Maricul. Soc. 12(2): 
165-171. 

Wallace, J. C. 1981/82. The culture of the Iceland scallop, Chlamys 
islandica (O. F. Mu Her). I. Spat collection and growth during 
the first year. Aquaculture 26:311-320. 



Journal of Shellfish Research, Vol. 3, No. 1, 75-104, 1983. 



ABSTRACTS OF TECHNICAL PAPERS 



Presented at 1982 Annual Meeting 



NATIONAL SHELLFISHERIES ASSOCIATION 

Baltimore, Maryland 

June 14-17, 1982 



National Shellfisheries Association. Baltimore, Maryland Abstracts, 1982 Annual Meeting, June 14-17, 1982 



CONTENTS 

George R. Abbe 

A Study of Blue Crab Populations in Chesapeake Bay in the Vicinity of the Calvert Cliffs 

Nuclear Power Plant, 1968-1981 81 

Philip Alatalo, Carl J. Berg, Jr. and Charles N. D Asaro 

Reproduction and Development in the Lucinid Clam Codakia orbicularis Linne 81 

Saved M. AH and G. D. Pruder 

Effects of Inorganic Particles on the Growth of the Eastern Oyster Crassostrea 

virginica (Gmelin) 81 

Stand ish K. Allen 

Applications of Flow Cytometry to Cytogenetic Studies in Bivalve Molluscs: 

Measuring Changes in DNA Content 82 

R. S. Appeldoorn, D. L. Ballantine and P. Chanley 

Observations on the Growth and Survival of Laboratory-Reared Juvenile Conchs, 

Strombus gigas and S. coastatus 82 

Jenny A. Baglivo, George E. Lang and Diane J. Brousseau 

A Simulation Study of a Stochastic Harvesting Model for Mya arenaria Linne 82 

James M. Bishop and V. G. Burrell, Jr. 

An Experimental Habitat Pot for Premolt Crab Capture 82 

Jay A. Blundon and Victor S. Kennedy 

Refuges from Blue Crab (Callinectes sapidus Rathbun) Predation for Infaunal 

Bivalves in the Chesapeake Bay 83 

Christopher F. Bonzek and Michael M. Burch 

A Random Sample Survey to Estimate Blue Crab Catch in Maryland 83 

Mark L. Bo t ton 

What Determines the Vulnerability of Bivalve Prey to Horseshoe Crab Predation? 83 

Neil Bourne 

Clam Predation by Scoter Ducks in the Strait of Georgia, British Columbia 84 

Diane J. Brousseau, Jenny A. Baglivo and George E. Lang 

Determination of Settlement Rates in Shellfish Populations using Mya 

arenaria Linne as a Model 84 

M. Brouwer, D. Engel and J. Bonaventura 

Heavy Metal Binding to Proteins of the Blue Crab Callinectes sapidus Rathbun 84 

Carolyn Brown 

The Role of Carbon Filtration in Culturing the American Oyster Crassostrea virginica (Gmelin) 85 

John W. Brown, John J. Manzi, Harry Q. M. Clawson and Fred S. Stevens 

Moving Out the Learning Curve: An Analysis of Nursery Operations for the Hard Clam 

Mercenaria mercenaria (Linne) in South Carolina 85 

Norman E. Buroker 

A Survey of Allozyme Variation and Estimates of Genetic Similarity among Three Ostrea Species 85 

Edwin W. Cake, Jr. and Vincent J. Smith 

The Southern Oyster Drill: A Predator of Trapped Blue Crabs 85 

Oral Capps, Jr. 

Factors Affecting Dockside Prices for Hard Blue Crabs in Chesapeake Bay 86 

Melbourne R. Carriker 

Molluscan Shell Dissolution by Penetrating Eumetazoan Invertebrates: An Hypothesis 

on the Chemical Mechanism based on Ultrastructure 86 

Thomas P. Cathcart and Russell B. Brinsfield 

Composting of Blue Crab Scrap: Problems and Solutions 86 

Mark Chatry and R. J. Dugas 

Optimum Salinity Regime for Oyster Production on Louisiana's State Seed Grounds 87 

Timothy J. Cole 

Gene Structures of Atlantic Coast Populations of the Blue Crab Callinectes sapidus Rathbun 87 



78 Abstracts, 1982 Annual Meeting, June 14-17, 1982 National Shellfisheries Association, Baltimore, Maryland 

CONTENTS (Continued) 

John A. Commito 

Naticid Snail Predation in New England: The Effects of Lunatia hews on the Population 

Dynamics of Mya arenaria and Macoma balthica 87 

/ D. Costlow and C. G. Bookhout 

The Effects of Pollutants on Larval Development of the Blue Crab Callinectes sapidus Rathbun 87 

L. Eugene Cronin 

Analysis of Local Populations of the Blue Crab Callinectes sapidus Rathbun 88 

Peter Daniel, Timothy Cole and Daniel Rittschof 

Chemoreception and Life History of Stylochus ellipticus (Girard) 88 

Ray C. Dintaman and J. F. Casey 

Effect of Crab Pot Wire Treatment on Crab Pot Fouling in Chesapeake Bay, Maryland 88 

Charles N. Dugas and M. Chatry 

An Oyster Cultch Comparison: Clamshell versus Limestone 88 

Elisa L. Elliot and Rita R. Colwell 

Incidence of Pathogenic Bacteria in the Blue Crab Callinectes sapidus Rathbun and 

the American Oyster Crassostrea virginica (Gmelin) 89 

R. W. Elner and R. E. Lavoie 

Predation on Spat of the American Oyster Crassostrea virginica (Gmelin) by the American 

Lobster Homarus americanus Milne-Edwards, the Rock Crab Cancer irroratus (Say), and 

the Mud Crab Neopanope sayi (Smith) 89 

Charles E. Epifanio, C. C. Volenti and A. E. Pembroke 

Seasonal Occurrence of the Larvae of Callinectes sapidus Rathbun in Delaware Bay 89 

John W. Ewart and Melbourne R. Carriker 

Characteristics of Fecal Ribbons from Juveniles of Crassostrea virginica (Gmelin) Fed 

Phaeodactylum tricornuturn Bohlin With and Without the Addition of Silt: Preliminary Observations 90 

Mary Jo Garreis and F. A. Pittman 

Heavy Metal, Polychlorinated Biphenyl, and Pesticide Levels in Crassostrea virginica (Gmelin) 

from Chesapeake Bay 90 

Eugene L. Geiger, Russell B. Brinsfield and Fred W. Wheaton 

Reduction of Dissolved Organics in Blue Crab Processing Plant Effluent 90 

Reginald B. Gillmor and Herbert Hidu 

Morphometric Patterns in Intertidal Bivalves 91 

Joy G. Goodsell, R. A. Lutz, M. Castagna, and J. Kraeuter 

Nonplanktotrophic Larval Development of Two Species of Continental Shelf Bivalves 91 

Gregory L. Gruber 

The Role of the Ventral Pedal Gland in Formation of an Egg Capsule by the Muricid 

Gastropod Eupleura caudata etterae B. B. Baker 1951 : An Integrated Behavioral, 

Morphological, and Histochemical Study 91 

Nancy H. Hadley and John J. Manzi 

Some Relationships Affecting Growth of Seed of the Hard Clam Mercenaria 

mercenaria (Linne) in Raceways 92 

Robert C.Hale 

Mixed-Function-Oxygenase Enzyme Systems: Purpose and Possible Deleterious 

Interactions with Organic Pollutants in the Blue Crab 92 

Paul C. Hammerschmidt 

Estimates of Juvenile Blue Crab Abundance in Texas Bays 92 

Harold H. Haskin, Eric S. Wagner and Mitchell L. Tarnowski 

The Surf Clam along the New Jersey Coast: Population Size, Recruitment, Growth Rates 93 

Herbert Hidu, Standish Allen and Jon Stanley 

Growth Performance of Cytochalazin-induced Triploids of American Oysters and 

Soft-shell Clams 93 



National Shellfisheries Association. Baltimore, Maryland Abstracts, 1982 Annual Meeting, June 14- 17, 1982 79 

CONTENTS (Continued) 

Anson H. Hines and Kathryn L. Comtois 

Predation by Blue Crabs and Spot on Infaunal Communities in Central Chesapeake Bay 93 

Lewis S. Incze 

Oceanography of the Southeastern Bering Sea and Recruitment Processes in Two 

Species of Tanner Crab 94 

David F. Johnson 

Species-Specific Differences in the Megalopal Distributions Related to Water Density Parameters 94 

Todd C. Kamens 

Mechanism of Shell Penetration by the Burrowing Barnacle Trypetesa lampas (Hancock), 

(Cirripedia: Acrothoracia): An Ultrastructural Study 94 

Jeffrey Kassner 

Trace Metals in Shellfish and Growing Area Designation 94 

VictorS. Kennedy, C. King and J. Blundon 

Blue Crab Predation on Infaunal Bivalves: Relation to Optimal Foraging Hypotheses 95 

George E. Krantz 

Department of Natural Resources and University of Maryland Form New Cooperative 

Shellfish Research Unit at Cnsfield 95 

George E. Krantz, G. J. Baptist and D. W. Meritt 

Three Innovative Techniques that Made Maryland Oyster Hatcheries Cost-Effective 95 

Judith Krzynowek 

Effect of Processing on Sterol and Fatty Acid Composition of Crabmeat 96 

Andre C. Kvaternik and William D. DuPaul 

Estimation of Standing Crop of Mercenaria mercenaria (Linne) in the James River, 

Virginia, using Commercial Records 96 

Mark D. Leslie and Robert S. Wilson 

Effects of Light and Gravity upon the Motile Behavior of Trochophore Larvae of 

Mercenaria mercenaria (Linne) 96 

R. A. Lutz, J. G. Goodsell, M. Castagna and A. P. Stickney 

Growth of Juveniles of Arctica islandica (Linne) in Experimental Containers 96 

John J. Manzi, F. S. Stevens, Y. M. Bobo, V. G. Burrell, Jr. and Nancy H. Hadley 

Size and Volume Relationships in Juveniles of Mercenaria mercenaria (Linne): 

A Revision of Belding's Tables 97 

/. R. McConaugha, D. R. Johnson and A. J. Provenzano 

A Descriptive Model for the Conservation of Blue Crab Larvae in the Vicinity 

of Chesapeake Bay 97 

R. E. Miller 

A Test of a Dart Tag for Juvenile Blue Crabs, Callinectes sapidus Rathbun 97 

Robert J. Miller 

Methods for Field Experiments with Baited Traps 97 

K S. Naidu 

A First Estimate of Indirect Fishing Mortality in the Iceland Scallop Chlamys islandica (Miiller) 98 

Carter R. Newell 

The Annual Glycogen Cycle in the Soft-Shell Clam Mya arenaria Linne from Maine 98 

Carter R. Newell 

The Effects of Sediment Type on Growth Rate and Shell Allometry in the Soft- 
Shell Clam Mya arenaria Linne 98 

Roger I. E. Newell and Stephen Jordan 

Preferential Ingestion of Organic Material from the Consumed Ration by the 

Oyster Crassostrea virginica (Gmelin) 98 

Elliott A. Norse and Virginia Fox-Norse 

Factors Limiting Abundance of Callinectes spp 98 



80 Abstracts, 1982 Annual Meeting, June 14-17, 1982 National Shellfisheries Association, Baltimore, Maryland 

CONTENTS (Continued) 

Eugene J. Olmi, III and James M, Bishop 

Total Width-Weight Relationships of the Blue Crab Callinectes sapidus Rathbun 

from the Ashley River, South Carolina 99 

A. J. Provenzano, J. M. McConaugha, and D. F. Johnson 

Significance of the Neuston Layer in the Dispersal of Larvae of the Blue Crab 

Callinectes sapidus Rathbun 99 

Hauke K. Rask 

Growth Enhancement of Mya arenaria Linne and Mercenaria mercenaria (Linne) 

by Marine Macroalgae 99 

Raymond J. Rhodes 

Economic Considerations in Management of the Commercial Blue Crab Fishery 100 

Daniel Rittscholf, R. Shepherd and M. Carriker 

Chemical Ecology of Oyster Drills 100 

/. W. Ropes, D. S. Jones, S. A. Murawski, F. M. Serchuk, and A. Jearld, Jr. 

Documentation of Annual Growth Lines in the Ocean Quahog/1 rctica islandica Linne 100 

Leonard A. Shabman and Tamara Vance 

The Chesapeake Bay Blue Crab Fishery: Historical Trends and Emerging Issues 100 

Terry M. Scholar 

Management of the Blue Crab Fisheries in North Carolina: A Case History 101 

Thomas M. Soniat and Sammy M. Ray 

The Texas Oyster Study. I. Relationships between Available Food, Oyster 

Composition, Condition, and Reproductive State 101 

Thomas M. Soniat, Sammy M. Ray and Rezenat M. Darnell 

The Texas Oyster Study. II. Models of Oyster Nutrition in the Natural Environment 101 

S. Stiles, and ./. Choromanski 

A Cytogenetic Method as a Tool for Assessing the Condition of Shellfish Larvae 102 

Mark L. Swift and S. Lakshmanan 

Isolation and Partial Characterization of a Malate Dehydrogenase from 

Crassostrea virginica (Gmelin) 102 

Edward R. Urban and G. D. Pruder 

Comparison of the Growth of Crassostrea virginica (Gmelin) at Five Algal Ration Levels 

with Specific Reference to Predictive Feeding Equations 102 

WillardA. Van Engel 

A Blue Crab Management Plan: Objectives and Responsibilities 102 

W. F. Van Heukelem and S. D. Sulkin 

The Behavioral Basis of Larval Dispersal and Recruitment in the 

Blue Crab Callinectes Sapidus (Rathbun 103 

Debra A . Weinheimer 

Reproductive Periodicity of Busycon carica (Gmelin) in Waters off South Carolina 103 

Elizabeth L. Wenner and Charles A. Wenner 

Distribution, Size, and Sex Composition of Three Species of Callinectes in the 

Coastal Habitat of the South Atlantic Bight 103 

James C. Widman, Edwin W. Rhodes and P. A. Boyd 

Nursery Culture of the Bay Scallop Argopecten irradians irradians (Lamarck) 

in Suspended Mesh Enclosures 104 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



A STUDY OF BLUE CRAB POPULATIONS IN 

CHESAPEAKE BAY IN THE VICINITY OF 

THE CALVERT CLIFFS NUCLEAR 

POWER PLANT, 1968-1982 

GEORGE R. ABBE 

Academy of Natural Sciences of 

Philadelphia 

Benedict Estuarine Research Laboratory 

Benedict. Maryland 20612 

Blue crab (Callinectes sapidus) population data were col- 
lected from 1968 to 1981 to determine the effects of waste 
heat from the Calvert Cliffs Nuclear Power Plant (CCNPP) 
on abundance, size distribution, sex ratios, and seasonality. 
Crabs were sampled using commercial crab pots of 2.5-cm 
mesh set within (Plant Site) and outside (Kenwood Beach 
and Rocky Point) the main thermal-effect area. Five pots 
per station were fished 4 days/week during alternate weeks 
from May through November. Crabs were sexed, measured, 
and weighed by sex. In 14 years, a total of 10,552 pots 
yielded 57,144 crabs (5.42/pot) of which 74.1% were legal 
size ( > 127 mm carapace width) and 51.6% were male. 
During 7 preoperational years (1968-74), crabs/pot aver- 
aged 4.06 at Kenwood Beach (33.3%), 3.94 at Plant Site 
(32.3%), and 4.18 at Rocky Point (34.3%). During 7 opera- 
tional years (1975-81), crabs/pot averaged 6.24 at Kenwood 
Beach (33.3%), 6.37 at Plant Site (34.0%), and 6.13 at 
Rocky Point (32.7%). Increased catch during the operational 
period was due to extreme abundance in 1981 when pots 
averaged nearly 17 crabs. Data analyses revealed no signifi- 
cant station differences other than a higher percentage of 
males at Kenwood Beach than at Rocky Point (p=0.005). 
There has also been a significant decrease in percent males 
since 1968 (p < 0.001) which has occurred equally at all 
stations. No effect of the CCNPP on crab populations was 
evident from these studies. 

REPRODUCTION AND DEVELOPMENT IN THE LUCINID 
CLAM CODAKIA ORBICULARIS LINNE 

PHILIP ALATALO 1 , CARL J. BERG 1 
AND CHARLES N. D'ASARO 2 

Marine Biological Laboratory 
Woods Hole, Massachusetts 02543 

Department of Biology 
University of West Florida 
Pensacola, Florida 32504 

The tiger lucine Codakia orbicularis is a large edible clam 
currently being investigated as a mariculture candidate in the 
Bahamas Islands. Gonad development and spawning seasons 
were assessed by monthly sampling of C. orbicularis from 
Grand Bahama Island and Key Biscayne, Florida. Histological 



examination of clams exceeding 20 mm in shell length 
showed most of the populations sampled ripe between 
April and November. Natural spawning probably occurs 
from May to October. 

Clams seldom respond to standard spawning techniques, 
including physical and chemical stimuli. Artificial fertili- 
zation by carefully stripping the gonads produced 15 to 
20% viable embryos. Eggs are 108 to 112 nm in diameter 
and are encased in a thick capsular membrane. Following 
fertilization, the gastrula, trochophore, and early veliger 
stages develop within the capsular membrane. Upon 
hatching, the planktonic veliger ranges from 150 to 174 fxm 
in shell length and develops to the pediveliger stage in 
approximately 12 days. Metamorphosis occurs approxi- 
mately 16 days after fertilization. Larval growth and 
developmental features peculiar to C. orbicularis are 
discussed. 



EFFECTS OF INORGANIC PARTICLES ON THE 
GROWTH OF THE EASTERN OYSTER 
CRASSOSTREA VIRGINICA (GMELIN) 

SAYED M. ALI AND G. D. PRUDER 

College of Marine Studies 
University of Delaware 
Lewes, Delaware 19958 

The effect of seven concentrations of inorganic particles 
(oxidized silt from the Broadkill River) on the growth of 
oysters (Crassostrea virginica) was studied at each of three 
algal ration levels. In the absence of silt (zero concentration) 
oyster growth was not significantly different between the 
selected algal ration levels. At the lowest algal ration, the 
addition of silt did not significantly affect oyster growth 
rate; however, at the medium and high algal ration levels 
oyster growth did increase with increasing silt concentra- 
tion up to 25 mg/£. Above 25 mg/2, up to 150 mg/8. the 
increased growth rate level was maintained showing neither 
further enhancement nor any adverse effect on oyster 
growth. The silt effect is discussed in terms of improved 
delivery of food, growth factors, toxic metabolites, increased 
digestability, resuspension of pseudofaeces, and increased 
filtration and ingestion rates. Implications of the findings 
for bivalve molluscan mariculture are suggested. The 
increased growth rate could not be explained by any single 
mechanism. 



82 Abstracts, 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



APPLICATIONS OF FLOW CYTOMETRY TO CYTOGENETIC 
STUDIES IN BIVALVE MOLLUSCS: MEASURING 
CHANGES IN DNA CONTENT 

STANDISH K. ALLEN, JR. 

Marine Cooperative Fisheries 
Research Unit 
University of Maine 
Orono. Maine 04469 

Flow cytometry is a relatively new approach to cyto- 
genetic studies in the biomedical field. This technique is of 
considerable utility in other fields, especially in measuring 
quantum shifts in DNA content. Diploid and triploid oysters 
and clams were subjected to tissue disaggregation and nuclei 
isolation techniques in an attempt to derive a suspended cell 
population for analysis. Tissue disaggregation was shown to 
be most effective and the principles of this method are des- 
cribed. Nonlethal analysis of DNA content in individual 
bivalves was also accomplished by sampling cells from hemo- 
lymph sinuses. An apparent quantum duplication of DNA 
between the sea scallop and bay scallop was demonstrated. 
Recommendations for continued investigations using flow 
cytometry are presented. 

OBSERVATIONS ON THE GROWTH AND SURVIVAL OF 

LABORATORY-REARED JUVENILE CONCHS, 

STROMBUS GIGAS AND S. COSTATUS 

R. S. APPELDOORN, D. L. BALLAN- 
TINE AND P. CHANLEY 

Department of Marine Sciences 
University of Puerto Rico 
Mayaguez, Puerto Rico 00708 

A study of the culture and life history of the queen conch 
Strombus gigas Linne in Puerto Rico has been underway 
since 1981. Its objective is to develop suitable methods for 
the large-scale culture of larvae of S. gigas and subsequent 
release of juveniles to rebuild depleted natural stocks. 
Although efforts have concentrated on S. gigas, larvae of the 
closely related milk conch S. costalus Gmelin have also been 
raised. Larvae were raised from eggs collected from the field. 
The larval period was variable with settlement commencing 
from 12 to 19 (x = 15.6) days after hatching. Length at 
metamorphosis varied from 1.2 to 1.8 mm with a mode 
between 1.4 and 1.5 mm. Sets of over 1,000 juveniles were 
achieved with survival ranging from 4 to 7% from hatching to 
a postmetamorphosis size of 3 to 5 mm. After metamor- 
phosis growth increased noticeably. Initial postmetamorpho- 
sis growth was 0.2 mm/day, but the rate of growth continued 
to increase reaching a mean of 4 mm/day through the first 
200 days. Feeding experiments of juveniles indicated that 
the macroalga SpyriJia filamentosa (Wulfen) was preferred. 

Pilot experiments involving the release of small (25 to 
50 mm) tagged juveniles permitted the testing of suitable 
mark and recapture methods and the collection of prelimin- 
ary observations of juvenile behavior. These observations 
indicated that mortality was initially high but dropped over 



time. Dispersal has been slow and random. Observed growth 
was slow, probably caused by the large amount of time 
spent buried and hence inactive. 

A SIMULATION STUDY OF A STOCHASTIC 
MODEL FOR MY A ARENARIA 

JENNY A. BAGLIVO 1 , GEORGE E. 
LANG 2 AND DIANE J. BROUSSEAU 3 

Department of Mathematics 
Fairfield University 
Fairfield, Connecticut 06430 and 
Department of Biostatistics 
Sloan-Kettering Institute 
New York, New York 10021 
2 Department of Mathematics 
Fairfield University 
Fairfield, Connecticut 06430 

Department of Biology 
Fairfield University 
Fairfield, Connecticut 06430 

Field data presented by Brousseau (1978, 1979) provided 
estimates of age-specific fecundity and survival for the soft- 
shell clam Mya arenaria. We have used these values in a 
Leslie population model (1945, 1948) to estimate an equili- 
brium settlement rate for clams in the first age class (Brous- 
seau et al., in press). Settlement rates are highly variable in 
nature, however, and the modelling efforts incorporate this 
phenomenon!. An optimal harvesting strategy based upon 
the Leslie model was published by Rorres and Fair (1975). 
We have designed simulation studies which adapt their pro- 
cedure as well as other similar procedures to a stochastic 
environment and applied these strategies using the Mya 
model. Preliminary results show that these methods do not 
over exploit the population; however, they may be too 
conservative. 

AN EXPERIMENTAL HABITAT POT FOR 
PREMOLT CRAB CAPTURE 

JAMES M. BISHOP AND 
V.G. BURRELL,JR. 

Marine Resources Research Institute 

South Carolina Wildlife and Marine 

Resources Department 

P.O. Box 12559 

Charleston, South Carolina 29412 

Three years of testing premolt (peeler) crab capturing 
devices showed unbaited habitat pots to be a potential har- 
vest gear in South Carolina estuaries. Two and one-half- 
centimeter mesh wire was used for pot construction, and 
pot design was similar to that for baited hard crab pots. 
Tests were conducted 4 consecutive days/week in the Ashley 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



83 



River from mid-April through mid-November, 1979, and 
daily in the Wando River from April through June, 1980 
and 1981. Primary objectives were to increase pot efficacy 
and reduce pot construction cost and labor. 

Results showed that plastic flagging tape interwoven 
among the wire mesh did not increase catch rates: pots with 
and without tape averaged 0.7 peeler/gear-day (one pot 
with a soak time of 24 h). Two large entrance pots (61 X 
61 X 45 cm) outfished 4 small entrance pots (61 X 61 X 
30 cm) by 1.6 vs. 1.3 peelers/gear-day, respectively. Pots 
fished in shallow subtidal mudflats captured a mean of 1 .7 
peelers/gear-day whereas those in deep water ( > 3 m) cap- 
tured only 0.7 peeler/gear-day. Highest capture rates were 
obtained in June during each year. A maximum of 3.5 
peelers/gear-day was obtained when large habitat pots were 
fished on shallow water mudflats in June. Male peelers 
accounted for 63% of 1,832 peelers caught in habitat pots 
during 1981. Habitat pots require no bait and offer crabbers 
a method of harvesting peelers in relatively consistent num- 
bers throughout the shedding season. 

REFUGES FROM BLUE CRAB (CALLINECTES SAPIDUS 

RATHBUN) PREDATION FOR INFAUNAL 

BIVALVES IN THE CHESAPEAKE BAY 

JAY A. BLUNDON 1 AND VICTOR S. 
KENNEDY 2 

Department of Zoology 
University of Maryland 
College Park, Maryland 20742 

Horn Point Environmental Laboratories 
University of Maryland 
Cambridge, Maryland 21613 

Direct measurements of valve strength of various sizes of 
Mya arenaria Linne, Macoma balthica (LinneV, Macoma 
mitchelli Dall, and Mulinia lateralis (Say) compared to 
measurements of blue crab chelae grip strength suggest that 
the shells of these infaunal bivalves confer no resistance to 
crushing by blue crabs. Also, blue crabs readily crushed 
these species in the laboratory. 

Possible refuges from predation afforded to theseinfaunal 
bivalves were investigated. Bivalve size, depth of burrowing, 
and density were measured in the field throughout spring 
and summer 1981 . This survey, in conjunction with labora- 
tory feeding experiments that offered M. arenaria burrowed 
at various sediment depths to blue crabs, suggested that M. 
arenaria and M. balthica obtain refuge from blue crab preda- 
tion at deeper sediment depths. Bivalves burrowed beneath 
an artificial submerged aquatic vegetation structure also 
gained additional protection. These refuges, however, were 
not absolute, but only relative to infauna burrowed less 
deeply or in bare sand (mud) environments. Yearly sampling 



of bivalve infauna in the Choptank River, Chesapeake Bay, 
suggested thatM mitchelli and M. lateralis are able to persist 
despite predation due to their high reproductive output. 

A RANDOM SAMPLE SURVEY TO ESTIMATE 
BLUE CRAB CATCH IN MARYLAND 

CHRISTOPHER F. BONZEK AND 
MICHAEL M. BURCH 

Maryland Department of Natural 
Resources, Tidewater Administration 
C-2 Tawes State Office Building 
Annapolis, Maryland 21401 

In June 1981 the Maryland Department of Natural 
Resources (MDNR) began operating a new system to esti- 
mate the catch of blue crabs (Callinectes sapidus Rathbun) in 
Maryland waters. The basis of the system is a stratified, ran- 
dom sampling design developed by the Martin Marietta 
Corporation, which allows MDNR to reliably estimate total 
crab catch in Maryland by asking only a small fraction of all 
crabbers to report their catch each month. This method 
produced a total annual harvest estimate in 1981 of 29.5 X 
10 6 kg (65 X 10 6 lb) live weight, nearly twice the highest 
estimate produced under past systems. The estimate is based 
on standard statistical techniques, and takes into account 
the previously ignored factors of non-reporting by some 
crabbers and the non-commercial catch. Estimates of fisher- 
man effort are produced concurrently. 

WHAT DETERMINES THE VULNERABILITY OF BIVALVE 
PREY TO HORSESHOE CRAB PREDATION? 

MARK L. BOTTON 

Department of Zoology 

Rutgers University 

P.O. Box 1059 

Piscataway, New Jersey 08854 

Adult horseshoe crabs, Limulus polyphemus (L.), were 
offered combinations of different size and species of bivalve 
prey in a large aquarium. Gemma gemma (Totten) 
(Veneridae), a small, thick shelled species, was avoided 
when larger, thinner shelled clams such as Mulinia lateralis 
(Say) (Mactridae) or Mya arenaria Linne (Myidae) were 
available. Crabs did not differentiate between M. lateralis 
and M. arenaria of comparable size; however, there was a 
preference for M. lateralis over hard-shell clams, Mercenaria 
mercenaria (Linne) (Veneridae), of equal size. Large individ- 
uals of M. lateralis, > 10-mm shell length, were preferred 
over smaller individuals of M. lateralis. Thus, both shell 
length and shell thickness appear to influence the preference 
of horseshoe crabs for bivalve prey. The largest available prey 
species offered to L. polyphemus was Spisula solidissima 



84 Abstracts, 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



(Dillwyn) (Mactridae); clams up to 45-mm shell length were 
successfully opened. The method of consuming these 
bivalves differed from the manner in which smaller prey 
were handled, and is illustrated. 

CLAM PREDATION BY SCOTER DUCKS IN THE 
STRAIT OF GEORGIA, BRITISH COLUMBIA 

NEIL BOURNE 

Fisheries and Oceans, 
Pacific Biological Station, 
Nanaimo, B.C.. Canada V9R 5K6 

Collections of three species of wintering scoter ducks, 
the white-winged scoter, Melanitta deglandi (Bonaparte), 
the surf scoter, M. perspicillata (Linnaeus), and the black 
scoter, Oidemia nigra (Linnaeus), were made at two clam 
beaches in southern British Columbia. Analyses of the crop 
and gizzard contents showed that these ducks were feeding 
primarily in the intertidal beach area. Molluscs, particularly 
bivalves, were the most important food items in the diet. 
The commercially important littleneck and Manila clams, 
Protothaca staminea (Conrad) and Tapes philippinarum 
(Adams and Reeve), respectively.comprised about two thirds 
of the gut contents of the scoters. Scoters are important 
clam predators in southern British Columbia; it was esti- 
mated that a wintering flock of 200 scoters could remove 5 
to 14.5 metric tons of littleneck and/or Manila clams from 
these two beaches in a 6-mo period. 

DETERMINATION OF SETTLEMENT RATES IN SHELLFISH 
POPULATIONS USING MY A ARENARIA LINNE' AS A MODEL 

DIANE J. BROUSSEAU 1 , JENNY A. 
BAGLIVO 2 AND GEORGE E. LANG 3 

Department of Biology 
Fairfield University 
Fairfield, Connecticut 06430 

Department of Mathematics 
Fairfield University 
Fairfield, Connecticut 06430 and 
Sloan-Kettering Institute 
New York, New York 10021 

Department of Mathematics 
Fairfield University 
Fairfield, Connecticut 06430 

Egg loss, larval recruitment, and early post-larval mortal- 
ity are often limiting factors in the establishment and main- 
tenance of shellfish stocks; therefore, it is of interest to 
ecologists to be able to make estimates of settlement rates 
in such populations. This paper describes an indirect method 
for estimating mortality rates during settlement in shellfish 
populations for which demographic parameters (age-specific 
fecundity and survivorship) are available. The equilibrium 



settlement rate for a population olMya arenaria from Glou- 
cester, MA, was calculated using the Leslie matrix. Empiri- 
cally derived demographic parameters indicate that the 
theroretical settlement rate required to maintain a steady 
state population is 0.001462% or one egg out of approxi- 
mately 68,400 surviving to a size of 2 mm. 

HEAVY METAL BINDING TO PROTEINS 

OF THE BLUE CRAB CALLINECTES 

SAPIDUS RATHBUN 

M. BROUWER, D. ENGEL AND 
J. BONAVENTURA 

Marine Biomedical Center 

Duke Univeristy Marine Laboratory 

and NMFS Southeast Fisheries 

Center Laboratory 

Beaufort, North Carolina 28516 

Hemocyanin is the large, extracellular oxygen transport- 
ing protein found in the hemolymph of the blue crab. The 
oxygen-binding site consists of a binuclear copper center. In 
addition to copper, blue crab hemocyanin invariably con- 
tains a small amount of tightly bound zinc (approximately 
0.2 atom of zinc per oxygen-binding site). This observation, 
together with the fact that hemocyanins act at the interface 
between the organism and its environment, prompted us to 
investigate a possible role of these respiratory proteins in 
trace metal transport or toxicity in the blue crab. In vitro 
studies revealed that blue crab hemocyanin can indeed bind 
a variety of heavy metal ions, all with very high affinities 
(18 mercury, 14 cadmium, and 24 zinc ions per oxygen- 
binding site). The interaction of cadmium and zinc ions with 
blue crab hemocyanin increases its oxygen affinity ; mercuric 
ions have an opposite effect. All three heavy metal ions 
reduce the degree of cooperativity in oxygen binding. Cad- 
mium and zinc ions were found to substitute for calcium, 
which is a natural modulator of blue crab hemocyanin 
function. 

In vivo exposure of blue crabs to cadmium dissolved in a 
flowing seawater system at 0.1 ppm or to cadmium-ladened 
oysters did not result in measurable elevated levels of 
cadmium in the hemolymph. The sites of cadmium accumula- 
tion varied depending on the method of exposure. Seawater- 
exposed crabs accumulated most of the cadmium in the 
gills; the ions were bound to a low molecular-weight protein 
(MW~ 10,000). This protein was purified by gel-permeation 
chromatography and ion-exchange chromatography. Cad- 
mium was the only metal associated with the purified 
protein. Crabs exposed to cadmium-ladened oysters accumu- 
lated most of the cadmium in the hepatopancreas, where it 
was associated with a low molecular-weight cadmium/zinc- 
binding protein. Ion-exchange chromatography showed the 
gill and hepatopancreas proteins to be different, suggesting 
that these proteins, which are presumably involved in trace 
metal detoxification, are tissue specific. 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts. 1982 Annual Meeting, June 14-17, 1982 



85 



THE ROLE OF CARBON FILTRATION IN 

CULTURING THE AMERICAN OYSTER 

CRASSOSTREA VIRGINICA 

CAROLYN BROWN 

National Marine Fisheries Senice, 
Northeast Fisheries Center, 
Milford Laboratory, 
Milford, Connecticut 06460 

Embryos and larvae of the American oyster Crassostrea 
virginica (Gmelin) were reared in two types of "disinfected" 
seawater. One type was filtered through two 10-/im orlon 
filters and UV-irradiated; the second type was subjected to 
the same treatments, except that an additional filtration 
process through a carbon cartridge was inserted prior to the 
UV irradiation step. The study compared embryonic devel- 
opment of the 2-day-old larval stage, as well as survival and 
growth of larvae to metamorphosis in the two types of 
treated seawater. Data indicated that the percentage of live- 
normal development was significantly greater in seawater 
subjected to carbon filtration than in seawater without this 
added treatment. Other data suggested success in rearing 
oyster larvae to metamorphosis using carbon filtration only 
when the larval cultures were changed daily. Seawater treat- 
ment is but one aspect of the prevention regimen to be fol- 
lowed. Sound sanitary practices also are described to reduce 
the frequency of disease outbreaks in hatcheries. 



MOVING OUT THE LEARNING CURVE: AN ANALYSIS OF 

NURSERY OPERATIONS FOR THE HARD CLAM 

MERCENARIA MERCENARIA (LINNE') 

IN SOUTH CAROLINA 

JOHN W. BROWN 1 , JOHN J. MANZI 2 , 
HARRY Q. M. CLAWSON 3 AND 
FRED S. STEVENS 4 

1 South Carolina Sea Grant Consortium, 
Charleston, South Carolina 29412 

Marine Resources Research Institute 
Charleston, South Carolina 29412 
3 'Trident Sea farms Co., 18 Broad St. 
Charleston, South Carolina 29401 

Marine Resources Research Institute 
Charleston, South Carolina 29412 

Trident Seafarms (a private corporation) and the State of 
South Carolina (SC Wildlife and Marine Resources Depart- 
ment) entered into a cooperative research agreement for the 
commercial production of hard clams in 1980. The SC Sea 
Grant Consortium provided partial funding for the scientific 
research and some staff time for the economic analysis of 
the first 15 months of nursery operation. Detailed cost and 
production analysis are provided, along with a description 
of the evolution of the nursery production protocols and of 
the nursery design. During the period from September 1980 



to December 1981, 19,733,000 seed clams were imported 
into the nursery; of these 13,008,000 remained in the nursery 
at the end of the year, 3,402,000 were planted in the field 
with 14,700 returned to the nursery. The apparent mortality 
was 3,337,700 clams during the 15 months. This 16.9% 
mortality is misleading because of the rapidly increasing 
number of clams in the nursery over the period of the 
analysis. Beginning with the correction for mortality, a 
detailed budget analysis is given and linear programming is 
employed to determine optimal importation strategies. 

A SURVEY OF ALLOZYME VARIATION AND 

ESTIMATES OF GENETIC SIMILARITY 

AMONG THREE OSTREA SPECIES 

NORMAN E. BUROKER 

Bureau of Biological Research, Rutgers, 
The State University of New Jersey 
Piscataway, New Jersey 08854 

Three nonsibling Ostrea species (i.e., O. edulis Linne, 
O. lurida Carpenter. andO. pennollis Sowerby) were studied 
by horizontal protein electrophoresis with relation to levels 
of genetic variation and similarity. The percentages of poly- 
morphic loci per species were estimated as 27.6, 37.0, and 
52.0 for O. edulis, O. lurida, and O. permollis, respectively, 
based on an examination of 25 to 29 structural loci. The 
mean observed heterozygosities per individual were esti- 
mated as 9, 16, and 1 5% for O. edulis, O. lurida, and O. per- 
mollis, respectively. A pairwise comparison of loci was made 
between species which indicated that approximately 17% of 
the loci studies were genetically identical while 55% had no 
genetic similarity. The mean genetic identity across all loci 
among the three species was estimated as 24.5%. Finally, 
there seemed to be a correlation between the dispersal time 
of the planktonic larvae and the levels of genetic variation 
found within these nonsibling Ostrea species. 

THE SOUTHERN OYSTER DRILL: A PREDATOR 
OF TRAPPED BLUE CRABS 



EDWIN W. CAKE, JR. 1 AND 
VINCENT J. SMITH 2 

Oyster Biology Section, 
Gulf Coast Research Laboratory 
Ocean Springs, Mississippi 39564 
2 Route 3, Box F-52 
Ocean Springs, Mississippi 39564 



Southern oyster drills (Thais haemastoma floridana 
[Conrad] ) are reported for the first time to attack and kill 
mature blue crabs (Callinectes sapidus Rathbun) in commer- 
cial crab pots. Trapped blue crabs were attacked by as many 
as 54 drills of up to 80 mm in shell height. All affected crabs 
were either ovigerous or recently spent females, and all 
were simultaneously infested with the symbiotic acorn 



86 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



barnacle Chelonibia panda (Ranzani). Entry portals for the 
proboscis of feeding drills included: (1) open skeletal wounds 
caused by other trapped crabs, (2) internal skeletal openings 
between the branchial chamber and the infrabranchial sinuses 
at the bases of the gills, (3) stumps of autotomized pereio- 
pods, and (4) holes rasped in the exoskeleton by the snails' 
radulae. The attacks were attributed to at least two factors: 
the presence of large numbers of drills in the crab harvest 
area in the vicinity of Mississippi's offshore barrier islands, 
and the opportunistic feeding behavior of the drills, 
especially when confined with trapped crabs. Moribund 
and/or dead crabs also attracted another carnivorous snail, 
the cancellate cantharus, Cantharus cancellarius (Conrad). 

FACTORS AFFECTING DOCKSIDE PRICES FOR 
HARD BLUE CRABS IN CHESAPEAKE BAY 

ORAL CAPPS, JR. 

Department of Agricultural Economics 
Virginia Polytechnic Institute and State 
University, Blacksburg, Virginia 24061 

The nature and the magnitude of selected factors hypo- 
thesized to influence the ex-vessel price of hard blue crabs 
in Chesapeake Bay were investigated. The data base used 
consisted of monthly observations for the period January 
1973 to June 1980. Seasonality, landings of hard blue crabs 
in Chesapeake Bay, and the wholesale price of hard blue 
crabs had significant impacts on the ex-vessel price. Landings 
of hard blue crabs in the south Atlantic and the Gulf were 
not statistically significant in influencing the ex-vessel price 
of hard blue crabs in Chesapeake Bay. On the basis of the 
estimated flexibility coefficients, total revenue to harvesters 
could be incremented by increasing landings in Chesapeake 
Bay throughout each season of the year. 

MOLLUSCAN SHELL DISSOLUTION BY PENETRATING 

EUMETAZOAN INVERTEBRATES: AN HYPOTHESIS 

ON THE CHEMICAL MECHANISM BASED ON 

ULTRASTRUCTURE 

MELBOURNE R. CARRIKER 

College of Marine Studies 
University of Delaware 
Lewes, Delaware 1 9958 

Of the 27 eumetazoan invertebrate phyla generally recog- 
nized, at least 8 widely separated ones are known to contain 
shell penetrating species (burrowers or borers): Platyhel- 
minthes, Bryozoa, Sipunculoidea, Phoronida, Annelida, 
Arthropoda, Brachiopoda, and Mollusca. The pattern of 
molluscan shell dissolution is similar at the ultrastructural 
level in species of four phyla that have been studied: 



polychaete Polydora websteri Hartman (Zottoli and Carriker 
1974), barnacle Trypetesa lampas (Hancock) (Todd 1981). 
gastropod Urosalpinx cinerea (SayY) (Carriker 1978), and 
cephalopod Octopus vulgaris Cuvier (Nixon et al. 1980). 
A secretion weakens the shell surface by initially solubilizing 
the nonmineralized intercrystalline organic matrix between 
individual mineral cores of shell units, then dissolves exposed 
mineral cores; dissolution of organic matrix and mineral 
cores then proceeds at more or less equal rates, solubiliza- 
tion of the organic matrix ahead of mineral cores, the latter 
frequently irregular and pitted. The secretion of the accessory 
boring organ of U. cinerea, hypothesized to contain a com- 
bination possibly of HC1, chelating agent, and enzyme 
(Carriker 1981) could produce the differential dissolution 
observed ultrastructurally. Similarity of the pattern of 
etching produced in shell penetration of P. websteri, 
T. lampas, U. cinerea, and O. vulgaris suggests the existence 
of a generically similar chemical mechanism in the shell- 
penetrating Eumatozoa. 



COMPOSTING OF BLUE CRAB SCRAP: 
PROBLEMS AND SOLUTIONS 

THOMAS P. CATHCART, FRED W. 
WHEATON AND RUSSELL B. 
BRINSFIELD 

Department of Agricultural Engineering 
University of Maryland 
College Park. Maryland 20 742 

Disposal of solid waste from blue crab processing plants 
became a major problem in Maryland with the closing of 
dehydrating plants. The dehydrated crab waste (scrap) was 
ground and sold for chicken feed. Presently, the scrap is 
disposed of in landfills; however, risk of ground water 
pollution and operational problems of placing crab scrap 
in landfills limits landfilling to a temporary solution. Com- 
posting of the crab scrap is a possible method of stablizing 
the waste and producing a useful soil additive for farmers, 
gardeners, the potted-plant industry, and others. Composting 
of crab scrap requires special provisions to eliminate noxious 
odors and prevent nuisance problems from developing. 
Studies to date have shown that the crab scrap pH must be 
maintained below 7.5 during composting, aeration must be 
supplied during part of the composting cycle, and a source 
of additional carbon must be added to the scrap. Solutions 
to these problems and methods of composting have been 
developed which produce high quality compost without 
noxious odor production. 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



87 



OPTIMUM SALINITY REGIME FOR OYSTER 

PRODUCTION ON LOUISIANA'S 

STATE SEED GROUNDS 

MARK CHATRY AND R. J. DUGAS 

Lyle S. St. Amant Marine Laboratory 
Grand Terre Island. Louisiana 70358 

Increased salinities have drastically reduced the produc- 
tive portion of Louisiana's public oyster seed grounds. 
Controlled freshwater diversions from the Mississippi River 
have been utilized or are now being planned in an attempt to 
reduce salinities and thereby reestablish formerly productive 
reefs. These diversions offer an unprecedented opportunity 
to manipulate salinities over a vast estuarine area for maxi- 
mizing seed oyster production. The purpose of this study 
was to determine the optimum annual salinity regime, using 
historical data, for the production of seed oysters on 
Louisiana's seed grounds. 

Salinity, spatfall, and seed oyster production data from 
three stations on Louisiana's productive seed grounds, 
1971 — 1981, are presented. Salinity in the setting year was 
the prime factor determining production of seed oysters. 
Both high and low salinity extremes resulted in poor seed 
production. Insufficient setting was blamed for poor pro- 
duction at the low salinities and it was speculated that 
numerous organisms associated with the high salinities 
caused heavy mortalities in recently set oysters. The optimum 
annual salinity regime was derived from all of the year/ 
station salinity regimes which were followed in the ensuing 
year by good seed oyster production. This optimum regime 
accounts for the salinity dependent factors which limit seed 
production. 

GENE STRUCTURES OF ATLANTIC COAST POPULATIONS 
OF THE BLUE CRAB CALLINECTES SAPIDUS RATHBUN 

TIMOTHY J. COLE 

University of Maryland Center for 
Environmental and Estuarine Studies 
Horn Point Environmental Laboratories 
Box 775. Cambridge. Maryland 21613 

Recent research has indicated that larvae of blue crabs 
are probably flushed from their parent estuary. Develop- 
ment continues in offshore waters, after which late-stage 
larvae or post-larvae return to the estuaries. A genetic study 
of blue crab populations was undertaken to determine if 
there is sufficient gene exchange among estuaries to prevent 
differentiation. Horizontal starch-gel techniques were used. 
Statistical analyses of frequencies of polymorphic loci indi- 
cate that blue crab populations south of Cape Hatteras are 
more genetically similar to each other than to those north 
of that cape. 



NATICID SNAIL PREDATION IN NEW ENGLAND: THE 

EFFECTS OF LUNATIA HEROS ON THE POPULATION 

DYNAMICS OF MY A ARENARIA AND 

MACOMA BALTHICA 

JOHN A. COMMITO 

Department of Biology 

Hood College 

Frederick, Maryland 21 701 

The naticid snail predator Lunatia heros (Say) and two 
of its bivalve prey species, Mya arenaria Linne and Macoma 
balthica (Linne), were studied at an intertidal site in eastern 
Maine. The M. arenaria population was comprised largely of 
newly recruited individuals. Survivorship was low (3.5%/y) 
until the sixth year and increased thereafter. Lunatia heros 
preyed upon only those individuals of M. arenaria < 30 mm 
long. At that length the bivalve reached a size or depth 
refuge from predation. It delayed reproduction until it was 
4 years old (20 mm long) and allocated its resources to rapid 
early growth instead (4.9 mm/y for the first 5 y). 

The dynamics of the population of M. balthica were 
different. There was a larger proportion of older individuals 
of M. balthica, and survivorship was higher (76.3%/y for the 
first 5 y). Macoma balthica grew to a length of 25 mm and 
never reached a size refuge. All sizes were susceptible to 
attack by L. heros, but the deeper burrow of M. balthica 
relative to individuals of M. arenaria of the same size may 
have afforded it some protection from predation. Macoma 
balthica grew slowly (2.7 mm/y for the first 5 y) and 
diverted its resources into reproduction at a younger age 
(3 y) and smaller size (10 mm). These different life-history 
patterns and the possible relationship between bivalve 
resource allocation and refuges from predation are discussed. 

THE EFFECTS OF POLLUTANTS ON LARVAL DEVELOPMENT 
OF THE BLUE CRAB CALLINECTES SAPIDUS RATHBUN 

J. D. COSTLOW AND C. G. BOOKHOUT 

Duke University Marine Laboratory 
Beaufort, North Carolina 28516 

Since our initial rearing of all larval stages of the blue crab 
Callinectes sapidus from hatching to the juvenile crab, we 
have investigated the way in which a variety of pollutants 
may affect the survival, duration, and frequency of abnor- 
mality of larvae of this important commercial species. 
Having established the optimum temperatures and salinities 
required for total development, we have investigated the 
way in which a number of commonly used pesticides and 
heavy metals affect development, either singly or in combina- 
tion with those temperatures and salinities which are known 
to impose a stress on the developing larvae. Included among 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



the pesticides have been studies on Malathion, Methoxychlor. 
Mirex, Kepone, and Dimilin. Studies on the effects of heavy 
metals have included cadmium and mercury. 

Summary data involving these studies are presented and 
discussed. In all cases, small amounts of each of the chemicals 
tested reduced survival of the larvae. Even at "sublethal" 
levels, abnormalities in development were observed. In 
general, the larval stages were far more sensitive to pollutants 
than were the juvenile or adult crabs and any consideration 
of "water quality" should take into consideration this 
essential portion of the life cycle of the blue crab and the 
sensitivity of the various larval stages to extremely minute 
amounts of pollutants. 

ANALYSIS OF LOCAL POPULATIONS OF THE BLUE CRAB 
CALLINECTES SAPIDUS RATHBUN 

L. EUGENE CRONIN 

Chesapeake Research Consortium 

4800 Atwell Road 

Shady Side, Maryland 20764 

The catch of blue crabs and composition of that catch 
fluctuate rapidly and widely over time. Useful estimation of 
local availability, size structure, and sex composition is, 
however, essential for understanding and for management 
of the species. A procedure of obtaining such information 
is described and discussed. It involves detailed catch infor- 
mation from the best of samplers (selected professional 
crabbers) accompanied by appropriate quantitative observa- 
tion at frequent intervals on the composition of the catch. 
These can provide useful estimates of the number of each 
class of crab available per man day throughout the crabbing 
season. The advantage and limitations are considered. 

CHEMORECEPTION AND LIFE HISTORY OF 
STYLOCHUS ELLIPTICUS (GIRARD) 

PETER DANIEL 1 , TIMOTHY COLE 1 , 
AND DANIEL RITTSCHOF 2 

1 Horn Point Environmental Labs 
University of Maryland 
Cambridge, Maryland 21613, and 
"College of Marine Studies 
University of Delaware 
Lewes, Delaware 1 9958 

Stylochus ellipticus, a flatworm indigenous to the 
Atlantic coast of the United States, preys on oyster spat and 
barnacles. Adults have almost inflexible prey preferences. 
Little is known about early life stages. A prey chemolocation 
hypothesis was tested to explain ability of S. ellipticus to 
locate and discriminate prey species. Also, these studies 
initiated examination of life history and distribution of 
5. ellipticus in Chesapeake Bay. 

Three apparatuses (chemossayer, Y-maze, and choice- 
chambers) were used to test adults for chemoreception. 
Effects of various environmental and biotic factors onchemo- 
reception were tested. The Atlantic oyster drill Urosalpinx 



cinerea (Say), an ecological analogue with an extensively 
studied chemobiology, was used to verify apparatus effec- 
tiveness and stimulus and control water attractiveness. 
Survivorship of larvae in nutrition and substrate preference 
settlement studies was determined. Distribution of S. 
ellipticus in Chesapeake Bay was determined from oyster 
bar survey reports (1980—81), occurrence in oyster hatch- 
eries (1980—81), and prior fouling plate studies (1963-65) 
(Shaw 1967). 

Studies of U. cinerea verified effectiveness of apparatuses 
and of stimulus and control water. Chemoreceptive behavior 
was indicated only in choice-chamber studies as long 
response time of adults rendered other apparatuses ineffec- 
tive. Light and starvation modified prey search. Stylochus 
ellipticus has a Gotte's larva which appears to be non- 
feeding and metamorphoses only on prey substrates. Though 
flatworm and prey densities often correlate, there were 
several instances of uninfested prey populations. 

Adults of S. ellipticus appear to prioritize behavior: (1) 
reproduction vs. prey search, and (2) prey search vs. escape. 
Barriers to larval dispersal probably allow some prey popula- 
tions to escape infestation. Earlier, nonreproductive life 
stages may influence prey preference establishment. 



EFFECT OF CRAB POT WIRE TREATMENT ON CRAB POT 
FOULING IN CHESAPEAKE BAY, MARYLAND 

RAY C. DINTAMAN AND J.F. CASEY 

Tidewater Administration, Maryland 
Department of Natural Resources 
Annapolis, Maryland 21401 

It has been presumed that fouling on crab pots reduces 
the catch rate and contributes to a shortened fishing life or 
premature loss of the pot. Groups of standard anode pots, 
standard anode pots painted with an anti-fouling paint, and 
vinyl pots were compared for rate of fouling and catch. Crab 
pots treated with the anti-fouling paint fouled the least. 
Their fouling rate was 83% less than vinyl pots and 75% less 
than standard anode pots. Pots treated with anti-fouling 
paint accounted for 42% of the total crabs caught during 
the study. This study suggests that treatment of standard 
anode pots with anti-fouling paint could increase not only 
catch, but also pot life. 

AN OYSTER CULTCH COMPARISON : 
CLAMSHELL VS. LIMESTONE 

CHARLES N. DUGAS AND M. CHATRY 

Lyle S. St. Amant Marine Laboratory 
Grand Terre Island, Louisiana 70358 

On 15 April 1981 four 70- X 70-cm trays containing equal 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts. 1982 Annual Meeting, June 14-17, 1982 



89 



volumes of clamshell and graded crushed limestone were 
placed on the bottom at each of 10 stations in the Barataria 
Bay system of southeast Louisiana. At the end of 3 months 
two trays and their contents from each station were retrieved 
and replaced with two trays containing fresh material. After 
the following three months all trays were retrieved. Thus, 
the cultch materials were exposed to spat set for two suc- 
cessive 3-month periods and for one 6-month period. Spat 
set (spat/liter of cultch) was determined by counting live 
and dead spat on each piece of cultch material. The overall 
mean spat set/liter was 57.9 for limestone and 25.1 for 
clamshell. This ratio of approximately 2:1 also held true 
when the data were analyzed for each time period. Relative 
survival was slightly higher on clamshell; however, because 
of the greater set on limestone, there was still approximately 
twice the number of live spat on limestone as on clamshell. 
At current prices crushed limestone is approximately 60% 
higher than clamshell; however, since spat set on limestone 
was greater, the cost, using average prices, was about 
$0 .50/ 1 ,000 spat on limestone and $0 .70/ 1 ,000 onclamshell. 

INCIDENCE OF PATHOGENIC BACTERIA IN THE 

BLUE CRAB CALLINECTES SAPIDUS RATHBUN 

AND THE AMERICAN OYSTER CRASSOSTREA 

VIRGINICA (GMELIN) 

ELISA L. ELLIOT AND 
RITA R. COLWELL 

Department of Microbiology 
University of Maryland 
College Park, Maryland 20742 

Blue crabs (Callinectes sapidus) and American oysters 
(Crassostrea virginica) were analyzed for the presence of 
human pathogenic bacteria. Live and cooked crabs, freshly 
picked crabmeat, and live, shucked, and washed oysters 
were obtained from a Maryland processing plant in the 
winter and spring of 1 981 -82. Cans of pasteurized crabmeat, 
purchased in Washington, DC, area stores, were also included 
in the study. All samples were subjected to standard plate- 
count determination and enrichment for the detection of 
specific pathogens. Sample analyses revealed low numbers 
of Staphylococcus aureus Rosenbach, Vibrio parahaemoly- 
ticus (Fujino et al.), other halophilic Vibrio spp., Aeromonas 
hydrophila (Chester), fecal coliforms, and presumptive 
Clostridium perfringens (Veillon and Zuber) spores; Vibrio 
cholerae Pacini and Salmonella spp. were not detected. 
Excluding S. aureus, all of the pathogens were present in 
highest numbers in the live crabs and oysters, suggesting 
that processing is effective in controlling the numbers of 
pathogens present in these foods. 



PREDATION ON SPAT OF THE AMERICAN OYSTER 

CRASSOSTREA VIRGINICA (GMELIN) BY THE 

AMERICAN LOBSTER HOMARUS AMERICANUS 

MILNE -EDWARDS. THE ROCK CRAB CANCER 

IRRORATUS (SAY), AND THE MUD CRAB 

NEOPANOPE SA YI (SMITH) 

R. W. ELNER 1 AND R. E. LAVOIE 2 

Department of Fisheries and Oceans 

Biological Station 

St. Andrews, New Brunswick 

Canada E0G 2X0, and 

Department of Fisheries and Oceans 

Fisheries Research Branch 

Halifax, Nova Scotia, Canada B3J 2S7 

Predation by lobsters, rock crabs, and mud crabs on 
oyster spat was compared in the laboratory at 13°C. Rock 
crabs (32- to 107-mm carapace width, CW) preyed on 
oysters up to 30 mm length, although they preferred smaller 
oysters. Preferred prey size increased with rock crab size. 
Lobsters (55- to 98-mm carapace length) demonstrated a 
broad preference for oysters of 1 0- to 25-mm length. Oysters 
up to 35-mm length were vulnerable to the lobsters. Preda- 
tion rate was highly variable but generally increased with 
predator size. Maximum mean lobster and rock crab preda- 
tion rates were 4.5 and 28.0 oysters/predator/day, respec- 
tively. Mud crabs (14- to 23-mm CW) and rock crabs (32- to 
58-mm CW) feeding on oysters (2- to 9-mm length) attached 
to spat collectors ate approximately 0.5 oyster/predator/day. 

Lobsters used their mouthparts or chelae to open oysters 
by indiscriminate crushing. Rock crabs generally crushed 
the umbo, chipped away the shell margin, or punctured the 
prey shell. Mud crabs and rock crabs opened oysters still 
attached to the spat collector. Oyster fragments were found 
in the stomachs of 88 (44%) of 201 rock crabs collected 
around oyster beds in Caraquet Bay, New Brunswick. 

SEASONAL OCCURRENCE OF THE LARVAE OF 

CALLINECTES SAPIDUS RATHBUN IN 

DELAWARE BAY 

CHARLES E. EPIFANIO. C. C. 
VALENTI AND A. E. PEMBROKE 

College of Marine Studies 
University of Delaware 
Lewes, Delaware 19958 

Blue crab larvae were collected weekly at a station in the 
mouth of Delaware Bay over a 16-wk period beginning in 
late June 1979. Collections were made with a 0.3-m Clark- 
Bumpus Sampler; discrete samples were taken at the surface, 
at 12 m, and at the bottom (25 m). On each sampling date, 
larvae were collected at the three depths every 3 h over one 



90 Abstracts, 1982 Annual Meeting, June 14-17. 1982 



National Shellfisheries Association, Baltimore, Maryland 



tidal cycle. Only Stage I zoeae and megalopae were collected 
during the course of the investigation. Peak abundance of 
Stage I occurred during late July and early August while 
peak occurrence of megalopae was observed 5 wk later. 
Stage I larvae were most abundant in seaward-flowing sur- 
face water and megalopae were distributed throughout the 
water column. We concluded that blue crab larvae are 
exported from the Bay as Stage I zoeae, undergo subsequent 
zoeal development on the continental shelf, and return to 
the estuary as megalopae. 



Adult of Crassostrea virginica were collected from 51 
sites in Chesapeake Bay and its tributaries. Samples were 
analyzed for heavy metal, polychlorinated biphenyl (PCB), 
and pesticide contamination. Ranges, medians, means, and 
standard deviations were determined for the Maryland por- 
tion of Chesapeake Bay and for some major river systems. 
Trends indicated by the 1980 data are discussed. Data are 
compared to previously collected data. 



CHARACTERISTICS OF FECAL RIBBONS FROM JUVENILES 

OF CRASSOSTREA VIRGINICA (GMELIN) FED 

PHAEODACTYLUM TRICORNUTUM BOHLIN 

WITH AND WITHOUT THE ADDITION OF 

SILT: PRELIMINARY OBSERVATIONS 

JOHN W. EWART AND 
MELBOURNE R. CARRIKER 

College of Marine Studies 
University of Delaware 
Lewes, Delaware 19958 

Two size classes of Crassostrea virginica were (edPhaeo- 
dactylum tricornutum at two cell concentrations with and 
without the addition of silt. The experimental treatments 
included 3-g and 21-g oysters, algal concentrations of 1.0 
X 10 4 cells/ml and 1 .0 X 10 s cells/ml, and either natural or 
oxidized Broadkill River silt at a concentration of 50 mg/C. 
Each treatment was tested in replicate feeding trials lasting 
24 h. Microscopic examination of fecal ribbon contents 
from oysters fed at the low algal concentration showed that 
the addition of silt resulted in a marked reduction in the 
number of whole cells of P. tricornutum. At the higher algal 
concentration the addition of silt had no effect on reducing 
the number of whole cells in the fecal ribbons. No differ- 
ences in the effect were found between oyster size classes. 
SEM examination of all fecal material indicated that silt- 
treated samples were different in appearance and composi- 
tion from those fed algae alone. The implications of silt 
additions in improving the nutritive value off. tricornutum 
are discussed. 

HEAVY METAL, POLYCHLORINATED BIPHENYL, AND 

PESTICIDE LEVELS IN CRASSOSTREA VIRGINICA 

(GMELIN) FROM CHESAPEAKE BAY 

MARY JO GARREIS AND 
F. A. PITTMAN 

Office of Environmental Programs 
Department of Health and Mental 
Hygiene, 201 W. Preston Street 
Baltimore, Maryland 21201 



REDUCTION OF DISSOLVED ORGANICS IN BLUE CRAB 
PROCESSING PLANT EFFLUENT 

EUGENE L. GEIGER, RUSSELL B. 
BRINSFIELD AND FRED W. WHEATON 

Department of Agricultural Engineering 
University of Maryland 
College Park. Maryland 20742 

Blue crab processing plants have difficulty meeting dis- 
charge guidelines for federal and Maryland state liquid 
effluents. Conventional treatment systems (e.g., foam flota- 
tion or aerated lagoons) do not represent viable options 
because of severe land and cost constraints. Research was 
initiated to develop: 1 ) a cost effective effluent treatment 
system and 2) a system producing effluent of sufficient 
quality to meet discharge guidelines. An attempt was made 
to utilize ultraviolet light as a substitute for chlorination. 
Crab cooking retort water, diluted to a 5% strength, was 
used as a consistent feed solution containing a high level of 
dissolved organics. Chemical floculation (with aluminum 
sulfate, ferric chloride, or ferrous sulfate), foam fractiona- 
tion, and aerobic biological treatment were examined in the 
laboratory using this solution to determine the most promis- 
ing treatment method. Because of the high dissolved organics 
concentration in the effluent, aerobic biological treatment 
proved to be the most effective treatment method. Various 
retention times in a sequential biological reactor were 
studied. A significant reduction in dissolved organic concen- 
trations was achieved, but substantial concentrations of col- 
loidal particulates were produced. Filtration with a fine sand 
filter greatly reduced the particulate concentrations. Final 
polishing by activated carbon absorption produced effluent 
transmission values in the range necessary for effective dis- 
infection by ultraviolet light. Water quality parameters were 
monitored between each treatment step. The quality of the 
water leaving the scale model system met federal and Mary- 
land state discharge limitations. 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts. 1982 Annual Meeting, June 14-17, 1982 91 



MORPHOMETRY PATTERNS IN INTERT1DAL BIVALVES 

REGINALD B. GILLMOR AND 
HERBERT HIDU 

Ira C. Darling Center 
Walpole, Maine 045 73 

For several families of intertidal gastropods Vermeij 
(1973) has demonstrated low-to-high shore gradients in shell 
morphology which he interpreted in terms of adaptive 
responses to the dominant physical stresses of the shore 
environment. Evidence from a variety of studies suggests 
that similar responses may occur in bivalves. The present 
study examined this question further. Juveniles of six bivalve 
species (Argopecten irradians [Lamarck] , Modiolus modiolus 
[Linne] , Ostrea edulis Linne, Mytilus edulis Linne, Crassos- 
trea virginica [Gmelin] , and Geukensia demissa [Dillwyn] ) 
were grown at various tidal levels on a natural shore and in 
a laboratory tidal simulator. At the end of the treatment 
period, the bivalves were sacrificed and each specimen was 
measured for maximum shell dimension (MSD: length in 
the mussels, height in the other species) and width; dry meat 
and dry shell weights were also determined. Three morpho- 
metric ratios were calculated and compared among species 
and treatment groups: shell weight/(MSD X width) as an 
index of relative shell thickness; MSD/width as an index of 
relative shell globosity; and meat weight/shell weight. Bivalves 
that were grown intertidally tended to have thicker and 
more globose shells. These tendencies did not necessarily 
correlate with naturally occurring or experimental intertidal 
levels. Intertidal meat/shell ratios, however, corresponded 
closely to natural shore position; the lower-shore species 
had the lowest ratios and the higher-shore species had the 
highest. We concluded that inter-specific and, in some cases, 
intra-specific low-to-high shore gradients in morphometric 
relationships are present in bivalves. 

NONPLANKTOTROPHIC LARVAL DEVELOPMENT OF 
TWO SPECIES OF CONTINENTAL SHELF BIVALVES 



M. CASTAGNA' AND J. KRAEUTER" 

x Dept. of Oyster Culture, NJAES 
Cook College, Rutgers University 
New Brunswick, New Jersey 08903 
VIMS. Wachapreague, Virginia 23480 

Larvae of Periploma leanum (Conrad) and Astarte cas- 
tanea (Say) were reared under laboratory conditions. The 
larval stages of both species are lecithotrophic and have low 
dispersal capabilities. Spawning was induced in P. leanum 
with thermal stimulation and the addition of a gamete sus- 
pension following a period of intensive feeding. Individual 
eggs (dia. = 130 jim) were released inside of two-layered 
capsules. The outer gelatinous layer rapidly expanded and, 
within 24 hours, completely dissipated. After 4 to 6 days, 



straight-hinge larvae emerged from an opening at the 
restricted end of the inner capsule. After a planktic stage of 
< 24 h, the larvae (length = 170 p.m) assumed an inactive 
benthic existence; a functional foot was not observed until 
15 to 18 days after fertilization. At no time during larval or 
early postlarval development were byssal threads observed. 
Astarte castanea was induced to spawn with thermal stimu- 
lation and the addition of a gamete suspension. Individual 
eggs (dia. = 170 yum) were released inside of double-walled, 
adhesive capsules. Prodissoconch I formation was extremely 
slow. The first sign of valve formation was observed after 6 
to 10 days while the larvae rotated within the capsules. 
Movement within the capsule ceased between 8 and 15 days 
after fertilization when the valves first completely enclosed 
the soft tissues and closed against one another along their 
free margins. Between 22 and 26 days, young of A. castanea 
broke out of their capsules by pushing forcefully with their 
foot against the inner wall of the capsule. They emerged as 
benthic juveniles (In. = 240 (im). As a result of the adhesive 
nature of the encapsulated stages, the larval dispersal capa- 
bility of this species is estimated to be on the order of a few 
centimeters. 

THE ROLE OF THE VENTRAL PEDAL GLAND IN 

FORMATION OF AN EGG CAPSULE BY THE 

MURICID GASTROPOD EUPLEURA CAUDATA 

ETTERAE B. B. BAKER 195 1: AN INTEGRATED 

BEHAVIORAL, MORPHOLOGICAL, AND 

HISTOCHEMICAL STUDY 

GREGORY L. GRUBER 

College of Marine Studies 
University of Delaware 
Lewes, Delaware 19958 

Several researchers described formation of egg capsules 
by females of a few neogastropods, but this process is still 
not well understood. Spawning behavior of females defined 
discrete times to sample egg capsules and spawning females 
before ventral pedal gland activity (VPGA), after peristaltic 
molding during VPGA, and after VPGA. Structure of these 
egg capsules and ventral pedal glands of females was examined 
with dissections, histology, polarizing microscopy, and 
histochemistry. Egg capsules before VPGA were ovoid, 

soft, and flexible. After peristaltic molding during VPGA, 
egg capsules were roughly shaped, loosely attached to 
a hard substratum, and still soft and flexible. Egg capsules 
after VPGA were completely shaped, firmly attached to a 
hard substratum, but now hardened and resilient. The apical 
plug, embryo chamber, and multilyatered fibrous wall 
of egg capsules before, during and after VPGA had similar 



92 Abstracts, 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



morphologies. Histochemical composition of the wall of egg 
capsules before VPGA and after peristaltic molding during 
VPGA differed from that of the wall of the egg capsules 
after VPGA. The wall of whole egg capsules that were sam- 
pled before VPGA and exposed to filtered seawater for 5 
days were soft, flexible, and showed no histochemical 
changes. These observations suggested that the ventral pedal 
gland molded an egg capsule into its final species-specific 
shape, firmly attached it to a hard substratum, chemically 
hardened the wall of the egg capsule, but did not secrete 
any layers of its wall. The ventral pedal gland has a columnar 
epithelium, two types of epithelial goblet cells, clusters of 
subepithelial gland cells, and a thin layer of circular and 
longitudinal muscle fibers between the epithelium and these 
gland cells. Each goblet cell type secreted different sulfated, 
acid mucosubstances that may act as lubricants during mold- 
ing of egg capsules. Subepithelial gland cells may secrete a 
noncarbohydrate, nonprotein substance that hardens the 
wall of the egg capsule. 

SOME RELATIONSHIPS AFFECTING GROWTH OF SEED 

OF THE HARD CLAM MERCENARIA MERCENAR1A 

IN RACEWAYS 

NANCY H. HADLEY 1 AND JOHN J. 
MANZI 2 

Grice Marine Biological Laboratory 
216 Ft. Johnson Rd. 
Charleston, South Carolina 29412 
Marine Resources Research Institute 
Charleston, South Carolina 29412 

Seed clams (y size = 3.9 mm) were maintained in race- 
ways for 6 months at densities corresponding to 740, 2220, 
6660, and 19980 clams/m 2 . Each density was replicated 
eight times in the raceways and the highest and lowest densi- 
ties were replicated four times in subtidal field controls. 
Raceway clam populations were stocked in four different 
positions relative to water flow and in 19 different positions 
relative to total raceway biomass. Although nominal flow 
rate was constant, effective flow rate (water volume/clam 
volume/minute) was different for each replicate and decreased 
as clam biomass increased. Temperature and salinity were 
measured daily and inflow and outflow chlorophyll-a were 
monitored monthly from February to August 1981 to deter- 
mine growth and survival. Single classification ANOVA fol- 
lowed by SNK tests between means showed that growth 
was significantly reduced at the highest density in both the 
raceway and the field. The lowest density exhibited greater 
growth in the raceway than in the field, while the highest 
density showed no difference in growth between the two 
locations. In the raceway, growth rate was inversely propor- 
tional to distance from water inflow and to effective density 



(# clams/unit water). Although clams at the highest density 
consistently removed the greatest amount of chlorophyll-a, 
less chlorophyll was removed per clam as density increased. 
Growth was highly correlated with stripping rate (/ig 
chlorophyll-a/clam/day) and with effective water flow rate. 
These relationships are discussed and some implications for 
management of raceways in mariculture systems are made. 

MLXED-FUNCTION-OXYGENASE ENZYME SYSTEMS: 
PURPOSE AND POSSIBLE DELETERIOUS INTER- 
ACTIONS WITH ORGANIC POLLUTANTS 
IN THE BLUE CRAB 

ROBERT C. HALE 

Virginia Institute of Marine Science 
The College of William and Mary 
Gloucester Point, Virginia 23062 

Mixed-function-oxygenases (MFO) are enzyme systems 
which have evolved in organisms to enable them to eliminate 
foreign compounds taken in from their environment. Often 
these compounds are toxic and lipophilic, possessing high 
accumulative potential (e.g., polynuclear aromatics, poly- 
chlorinated biphenyls, and chlorinated organic pesticides); 
therefore, they must be metabolized to biologically inactive, 
excretable forms. Occasionally, however, the resulting 
metabolites formed by the MFO system are more harmful 
than the parent compounds; some are potent carcinogens. 
Recent work has shown that the activity of the MFO sys- 
tem is greatest in mammals and decreases in fish, crustaceans, 
and mollusks, in that order. The enzyme system is also respon- 
sible for the synthesis and breakdown of certain steroid 
hormones. The molting hormone in crustaceans is believed 
to be a steroid compound. The activity of MFO in female 
blue crabs has been shown by others to be inversely related 
to the levels of crustecdysone, when examined over the 
course of a molt cycle. Elevated levels of aromatic hydro- 
carbons, caused by greater utilization of coal reserves and 
increased industrialization, are of concern to scientists. 
These and other pollutants have been found by workers to 
induce higher levels of MFO activity, and also to inhibit 
molting and limb regeneration in crabs. Levels of toxic 
organic compounds in the blue crab population of lower 
Chesapeake Bay are being determined using glass capillary 
gas chromatography and mass spectrometry. Differential 
abilities to metabolize aromatic compounds that may exist 
between molt and sex groups will be examined. 

ESTIMATES OF JUVENILE BLUE CRAB 
ABUNDANCE IN TEXAS BAYS 

PAUL C. HAMMERSCHMIDT 

Texas Parks and Wildlife Department 
Rt. 1, Box 368, Seadrift, Texas 77983 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



93 



Blue crab populations were monitored November 1 977— 
December 1981 by Texas Parks and Wildlife Department 
personnel using 18-m bag seines in the Galveston, Matagorda, 
San Antonio, Aransas, Corpus Christi, upper and lower 
Laguna Madre Bay systems. Seine samples and hydrological 
data were taken monthly at randomly selected stations in 
each of the sampled bay systems. Catch-per-unit-of-effort 
(CPUE), calculated as number of crabs/ha, as well as water 
temperature and salinity values are presented. These data 
were examined utilizing a 2-way ANOVA. Similarities in 
CPUE, water temperature, and salinity were examined 
between years and seasons within bay systems. 

THE SURF CLAM ALONG THE NEW JERSEY COAST: 
POPULATION SIZE. RECRUITMENT, GROWTH RATES 

HAROLD H. HASKIN, ERIC S. 
WAGNER AND MITCHELL L. 
TARNOWSKI 

Department of Oyster Culture 

N.J. Agricultural Experiment Station 

Rutgers the State University 

New Brunswick, New Jersey 08903 

Over the last 10 years there has been regular and general 
settling of surf clam larvae along the New Jersey coast but. 
as indicated in earlier reports, mortality rates in early juve- 
niles are high and survival beyond the first summer is com- 
paratively rare. Exceptions to this will be discussed with 
emphasis on the 1976 year class which approximately 
doubled the standing stock in New Jersey waters. Since 
major portions of this year-class survived in areas where 
earlier year-classes were wiped out by anoxic waters in 
1976, we have a unique opportunity to determine the effects 
of a variety of environmental conditions on growth rate. 
Results of some of these determinations will be presented, 
as will the most recent stock assessment. 

GROWTH PERFORMANCE OF CYTOCHALAZIN-INDUCED 

TRIPLOIDS OF AMERICAN OYSTERS AND 

SOFT-SHELL CLAMS 

HERBERT HIDU, STANDISH ALLEN 
AND JON STANLEY 

Department of Zoology 
University of Maine at Orono 
Orono, Maine 04469 

We conducted extensive laboratory and field performance 
experiments in 1982 with 3-yr-old triploids of the American 
oyster Crassostrea virginica (Gmelin) and yearlings of the 
soft-shell clam Mya arenaria Linne. The Crassostrea triploids, 
which were created at meiosis I, grew significantly faster 
than the diploid controls, whereas those created later in the 
meiotic cycle exhibited no growth advantage over the dip- 



loids. The Mya triploids exhibited no growth advantage over 
diploid controls. Triploidy did not block gametogenesis in 
either species. Optimal methods are discussed for determin- 
ing the consequences of polyploidy in marine bivalves. 



PREDATION BY BLUE CRABS AND SPOT ON INFAUNAL 
COMMUNITIES IN CENTRAL CHESAPEAKE BAY 

ANSON H. HINES AND KATHRYN L. 
COM TO IS 

Chesapeake Bay Center. Smithsonian 
Institution. P.O. Box 28 
Edgewater, Maryland 21037 

The impacts of predation by blue crabs (Callinectes 
sapidus Rathbun)and spot(Leiostomusxanrhuri(sLacephde) 
on infaunal communities were compared for mud and sand 
sediments in the Rhode River, a typical subestuary of central 
Chesapeake Bay. The two species are the dominant benthic 
predators in the system, and their foraging activities from 
June to October correlated with the sharp seasonal decline 
in infaunal density and standing crop. Analysis of stomach 
contents showed that crabs preyed primarily on whole 
clams, whereas spot fed mainly on clam siphons and several 
species of polychaetes. Turnover rates of infaunal prey were 
estimated based on the density of predators taken in otter 
trawls, the weight of their stomach contents, and the weight 
of the standing crop of infauna. For total infauna, turnover 
rates were low (1— 7%/month) early in the season, when the 
standing crop was high; but turnover was high (30-60%/mo) 
in the top 5 cm of sediment late in the season, when the 
standing crop was low. For small clams, polychaetes, and 
amphipods in the top 5 cm of sediment, predation pressure 
by crabs and spot accounted for extremely high turnover 
rates (more than 100%/mo), whereas larger, deep-burrowing 
clams had turnover rates < 3%/mo. Experiments using pre- 
dator exclusion cages resulted in significantly higher densities 
of total infauna, clams, and some species of polychaetes 
within the cages than outside the cages. Survival of out- 
planted clams (Macoma balthica [Linne] ) was significantly 
higher in buckets with predator exclusion cages than in 
buckets without predator exclusion cages. Predation by 
blue crabs appears to have a major impact on small, surface- 
dwelling clams, whereas spot predation has a more general 
impact on clam siphons and a variety of invertebrates living 
in the surface sediment. Turnover of infauna in the surface 
sediment is very rapid. 



94 Abstracts. 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



OCEANOGRAPHY OF THE SOUTHEASTERN BERING SEA 

AND RECRUITMENT PROCESSES IN TWO SPECIES 

OF TANNER CRAB 

LEWIS S. INCZE 

School of Fisheries WH-10 

College of Ocean and Fishery Sciences 

University of Washington, 

Seattle, Washington 98195 

Potential factors affecting the distribution and survival 
of the pelagic larvae of two species of tanner crabs, Chiono- 
ecetes bairdi Rathbun and C. opilio (Fabricius), that inhabit 
the wide continental shelf of the eastern Bering Sea were 
investigated as part of a large multi-institutional oceano- 
graphic program. The objective was to evaluate the relative 
importance of pelagic events in determining spatial patterns 
of recruitment to the benthos. The study emphasized the 
description of cause-and-effect relationships between physi- 
cal processes (mixing and transport) and biological (plank- 
tonic) conditions which affect feeding success and the 
ultimate survival and distribution of the larvae. Information 
on the timing of hatch-out, rates of growth and development, 
feeding physiology, and inter-annual differences in patterns 
of spatial distribution and relative abundance of the larvae 
are provided. How these data relate to regional oceanographic 
processes and their potential impact on population distribu- 
tion and age structure are stressed. 

SPECIES-SPECIFIC DIFFERENCES IN THE 

MEGALOPAL DISTRIBUTIONS RELATED 

TO WATER DENSITY PARAMETERS 

DAVID F. JOHNSON 

Department of Oceanography 
Old Dominion University 
Norfolk. Virginia 23508 

The megalopae of 10 brachyuran crabs were sampled 
from July through September 1980 in the lower Chesapeake 
Bay and adjacent coastal waters. The megalopae are assigned 
to three apparent groups: retained estuarine. expelled estu- 
arine, and retained coastal recruitment types. The megalopae 
of estuarine species such as Hexapanopeiis angastifrons 
( Benedict and Rathbun), Neopanope sayi (Smith ). Panopeus 
herbstii H. Milne-Edwards, and Pinnotheres ostreum Say are 
retained in estuarine epibenthic waters. The larvae of some 
estuarine species such as Callinectes sapidus Rathbun, Uca 
spp.. and Pinnixa spp. are expelled from the estuary, resul- 
ting in maximum megalopal concentrations on the shelf. Of 
the retained coastal species. Portunus spp. and Cancer irrora- 
tus Say are not abundant in the neuston of shelf waters, 
while Libinia spp. are most abundant in the epibenthos of 
near-shelf waters. The megalopae of 4 species show signifi- 
cantly different vertical distributions between stratified and 



homogenous water columns. Megalopae were not found to 
aggregate within pycnoclines. 

MECHANISM OF SHELL PENETRATION BY THE 

BURROWING BARNACLE TRYPETESA LAMP AS 

(HANCOCK), (CIRRIPEDIA: ACROTHORACICA): 

AN ULTRASTRUCTURAL STUDY 

TODD C. KAMENS 

College of Marine Studies 
University of Delaware 
Lewes. Delaware 19958 

Trypetesa lampas is a soft -bodied, free-living cirriped that 
burrows in empty shells of gastropods inhabited by hermit 
crabs. Portions of this burrow are commonly lined with a 
limy, white material. Individuals of T. lampas were obtained 
from shells of Lunatia heros (Say) and Polinices duplicatus 
(Say) collected in the vicinity of Woods Hole, Massachusetts. 
Specimens of the mantle surface and burrow wall were 
examined with scanning electron microscopy to determine 
the mechanisms of shell removal and lining formation within 
the burrow by T. lampas and to correlate these activities 
with the microanatomy of the external mantle surface of 
the barnacle. Results confirm earlier hypotheses that bur- 
rowing by T. lampas is achieved through a combination of 
chemical and physical processes. Ultrastructural examination 
of fractures through the burrow reveal a gradual, shell- 
weakening process in which prismatic material within the 
surrounding gastropod shell is softened by preferential dis- 
solution of inter- and intra-crystalline matrix and subsequent 
solubilization of the bare calcareous prisms. Examination of 
thin sections through the mantle cuticle disclosed minute 
pore canals through which shell-dissolving secretions of the 
barnacle could be released. Dissolution of shell by T. lampas 
appears to be linked to the molt cycle, with most extensive 
stages of dissolution being observed in burrows of specimens 
that have just molted. Soft material remaining on the wall 
of the burrow after molting is removed with sharp spines 
covering the external surface of the barnacle's mantle. This 
material is subsequently used by T. lampas to thicken exist- 
ing parts of the lining and add new linings in areas that no 
longer fit snugly. 

TRACE METALS IN SHELLFISH AND 
GROWING AREA DESIGNATION 

JEFFREY KASSNER 

Department of Environmental Protection 
Town of Brookhaven 
Patchogiie, New York 11772 

The level of coliform bacteria, as set forth by the National 
Shellfish Sanitation Program (NSSP), is the water quality 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 95 



standard used to classify shellfish growing areas. It is the 
standard by which shellfish harvesting is regulated. Port 
Jefferson Harbor, NY, a moderately industrialized embay- 
ment of Long Island Sound, and Setauket Harbor, a more 
urbanized tributary basin of Port Jefferson Harbor, both 
have areas classified as certified (shellfishing permitted) and 
as uncertified (shellfish prohibited). Sediment analyses of 
the two harbors suggest that noncoliform pollutants, particu- 
larly trace metals, are present. Because of public health 
concerns, the hard clam Mercenaria mercenaria (Linne)was 
sampled for trace metals to determine how trace metal con- 
centrations in the shellfish tissues compared with the level 
of bacteriological pollution in the growing water and the 
NSSP classification. Hard clams were sampled from 5 loca- 
tions in each harbor and analyzed for copper, lead, zinc, and 
cadmium. From the metal and conform concentrations and 
their distributions in the two harbors, the following relation- 
ships were observed: in both harbors, hard clams from the 
station with the fewest coliform bacteria did not have the 
lowest metal concentrations; in Setauket, the variability in 
metal concentrations among the sampling locations was 
much less than in Port Jefferson; and in Port Jefferson, over- 
all metal concentrations were higher than in Setauket. The 
concentration of metals in the shellfish does not appear to 
be reliably related to the coliform level. 

BLUE CRAB PREDATION ON INFAUNAL BIVALVES: 
RELATION TO OPTIMAL FORAGING HYPOTHESES 

VICTOR S. KENNEDY, C. KING AND 
J. BLUNDON 

Horn Point Environmental Laboratories 
University of Maryland. Box 775 
Cambridge, Maryland 21 613 

Adult blue crabs {Callinectes sapidus Rathbun) were 
allowed to forage on equal numbers of 3 size classes of 
buried soft-shell clams (Mya arenaria Linnd); percentage 
of clams ingested increased with increasing clam size. This 
was also true in the case of juvenile blue crabs foraging on 
equal numbers of 5 size classes of buried specimens of 
Macoma balthica (Linne). When the largest size class of M. 
balthica was not available and equal numbers of the four 
remaining size classes could be preyed upon by juvenile 
crabs, the percentage of clams ingested increased with 
increasing clam size. This seems to indicate a pattern of 
optimal foraging by the crabs. Equal biomass of (a) two size 
classes of buried speimens of M. arenaria or (b) three size 
classes of buried specimens of M. balthica was then made 
availabe to adult or juvenile blue crabs, respectively. At the 
end of these experiments there was no statistically significant 
difference among size classes in percentage of clams ingested. 
This suggests that buried clams are preyed upon opportunis- 



tically by blue crabs. The results of the experiments using 
equal numbers of clams per class may have been influenced 
by the possibility that larger clams have a greater chance than 
smaller clams of being encountered by a sediment-probing 
crab because of their larger size. 

DEPARTMENT OF NATURAL RESOURCES AND 

UNIVERSITY OF MARYLAND FORM NEW 

COOPERATIVE SHELLFISH RESEARCH 

UNIT AT CRISFIELD 

GEORGE E. KRANTZ 

University of Maryland Center for 
Environmental and Estuarine Studies 
Box 775, Cambridge, Maryland 21613 

The University of Maryland's Marine Products Laboratory 
located at Crisfield has become the site of a joint University/ 
Department of Natural Resources (DNR) program in shell- 
fish management effective 1 January 1982. The new joint 
research and management program will offer many advan- 
tages to the state's seafood industry by combining research 
and management functions in one unit as well as providing 
for the transfer of new hatchery technology through demon- 
strations of shellfish culture methods to watermen, seafood 
processors, and other interested groups. 

THREE INNOVATIVE TECHNIQUES THAT MADE MARYLAND 
OYSTER HATCHERIES COST-EFFECTIVE 

GEORGE E. KRANTZ, G. J. BAPTIST 
AND D. W. MERITT 

University of Maryland Center for 
Environmental and Estuarine Studies 
Cambridge, Maryland 21613 

The combined use of 3 innovative techniques reduced 
the size of the physical plant of a Maryland oyster hatchery 
by 65% and reduced the labor by 55%. Tahitian Isochrysis, 
an unidentified algal strain that has an optimal growth tem- 
perature between 24 and 30°C, eliminated the need for a 
temperature controlled algae culture room in the hatchery. 
Algae cultures were grown at ambient room temperature 
and stored in a '"concentrated paste" after dewatering in a 
mechanical centrifuge. This technique permitted year round 
operation of a small algae culture laboratory rather than an 
intensive period of activity during the time of oyster larval 
culture (June through August). Oyster spat were collected 
directly from larval culture cones on a concrete-coated, wire 
device which also served as a growing substrate until the spat 
reached 2.5 to 3.5 cm. This growing device was transferred 
directly from the larval cone into the natural environment 
thereby eliminating the need for continuous flow of water 
in the hatchery and the labor involved with cleaning vast 
expanses of spat culture trays. Field trials of spat grown by 



96 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



these techniques will yield marketable oysters in the fall of 
1983. 

EFFECT OF PROCESSING ON STEROL AND FATTY ACID 
COMPOSITION OF CRABMEAT 

JUDITH KRZYNOWEK 

National Marine Fisheries Service 
Northeast Fisheries Center 
Gloucester Laboratory 
Gloucester, Massachusetts 01 930 

The use of water or brine or mechanical stress for crab- 
meat extraction and the freezing or further heating of 
crabmeat for canning purposes are processing techniques 
employed by the crabmeat industry. The impact of physical 
and chemical processing is discussed relative to the effect 
on the lipid portion of the meat (primarily on the sterol 
and fatty acid composition). Specific processing techniques 
to be discussed include: freezing, multiple freeze/thaw 
cycles, canning (both sterilized and pasteurized and the 
inclusion of bacteria in the product after canning), and three 
methods for meat extraction. 

ESTIMATION OF STANDING CROP OF MERCENARIA 

MERCENARIA (LINNE) IN THE JAMES RIVER, 

VIRGINIA, USING COMMERCIAL RECORDS 

ANDRE C. KVATERNIK AND 
WILLIAM D. DUPAUL 

Sea Grant Marine Advisory Services 
Virginia Institute of Marine Science 
College of William and Mary 
Gloucester Point, Virginia 23062 

Commercial catch and effort records for boats using 
patent tongs to harvest hard clams from the James River 
were obtained for the years 1978-1981. Using Dickie's 
(1955) version of the Leslie method, catch-per-unit-effort 
of the sample fleet was regressed against accumulated catch 
to give estimates of the initial abundance. Estimates for 
1978, 1979, 1980, and 1981 were 10,101 m 3 (280,605 bu), 
14,625 m 3 (406,250 bu), 20,065 m 3 (557,250 bu), 1 2,397 m 3 
(344.364 bu), and 14,297 m 3 (397,142 bu), respectively. The 
mean for the period 1978-1981, 14,297 m 3 (397,142 bu), 
was 30% below that estimated by Haven et al. (1981). Com- 
mercial catch records can be used in this application but 
limitations in the data must be understood. Abundance esti- 
mates from this method should be supplemented with addi- 
tional designed sampling strategies to give better accuracy. 

EFFECTS OF LIGHT AND GRAVITY UPON THE MOTILE 

BEHAVIOR OF TROCHOPHORE LARVAE OF 

MERCENARIA MERCENARIA (LINNE) 

MARK D. LESLIE AND 
ROBERT S. WILSON 



Department of Biology 

Southeastern Massachusetts University 

North Dartmouth, Massachusetts 02747 

Adults of Mercenaria mercenaria were spawned in the 
laboratory and the fertilized eggs were reared to the trocho- 
phore stage. Responses of the larvae to light and gravity were 
observed. Distributions were determined under 5 experi- 
mental conditions: horizontal chamber in darkness, horizon- 
tal chamber with two different light intensities (2.5 and 15 
W/M 2 ) shining from one end, vertical chamber in darkness, 
vertical chamber with light incident from above (2.5 W/M 2 ) 
and a vertical chamber with light incident from below (2.5 
W/M 2 ). The results revealed a random distribution of the 
larvae in horizontal dark and horizontal light experiments, a 
substantial surface aggregation in the vertical dark chamber, 
and a decrease in surface accumulation with the light source 
shining from above and below the vertical chamber. Indivi- 
dual swimming paths of the larvae were analyzed using a 
computer-video system (viz., the Bug-system). The larvae 
were viewed in both the presence and absence of light in a 
vertical plane. Illumination from below caused a significant 
drop in vertical velocity and swimming speed and a small 
decline in the rate of change of direction. Phototaxis was 
not observed. Photostimulation caused the trochophores to 
exhibit a negative orthokinesis with a weakening in their 
negative geotactic behavior. 

GROWTH OF JUVENILES OF ARCTICA ISLANDICA (LINNE) 
IN EXPERIMENTAL CONTAINERS 

R. A. LUTZ 1 , J. G. GOODSELL 1 , 
M.CASTAGNA 2 AND A.P.STICKNEY 3 

Dept. of Oyster Culture, New Jersey 
Agricultural Experiment Station, Cook 
College. Rutgers University 
New Brunswick, New Jersey 08903 

Virginia Institute of Marine Science 
Wachapreague, Virginia 23480 

Dept. of Marine Resources 
West Boothbay Harbor, Maine 04575 

Laboratory -reared ocean quahogs {Arctica islandica) 
(n = 119) ranging in shell length (maximum antero-posterior 
dimension) from 1.8 to 4.3 mm (x = 2.5 ± 0.4 mm, SD) 
were placed during June in experimental mesh containers 
suspended from fixed and floating structures in marine 
waters off Boothbay Harbor, Maine. Shell length measure- 
ments were recorded at monthly intervals until the follow- 
ing March. Water temperatures at the locations of the con- 
tainers ranged from a high of 15.5°C during August to a 
low of 1 .0°C during February. Mean growth rages recorded 
during the warmer months from June through September 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



97 



ranged from 2.0 to 2.4 mm/month. Reduced, yet measur- 
able, amounts of shell (x = 0.3 - 0.5 mm/month) were 
deposited during even the coldest winter months (January 
and February). Mortality during the study period was < 1%. 
By early March, the shell lengths of specimens (n = 117) 
ranged from 3.9 to 21.3 mm (x = 14.0 ± 2.8 mm, SD). 
Recorded growth rates were considerably faster than those 
heretofore reported for Arctica islandica and suggest that 
juveniles of this species have a potential for relatively rapid 
growth in certain environments. 

SIZE AND VOLUME RELATIONSHIPS IN JUVENILES OF 

MERCENARIA MERCENARIA (LINNE): 

A REVISION OF BELDINGS TABLES 

JOHN J. MANZI ' , F. S. STEVENS 1 , 
Y. M. BOBO 1 , V. G. BURRELL, JR. 1 
AND NANCY H. HADLEY 2 

Marine Resources Research Institute 
Charleston, South Carolina 29412 

College of Charleston, 
Charleston, South Carolina 29402 

Size and volume relationships in juveniles of the hard 
clam Mercenaria mercenaria were determined in commer- 
cial nursery populations over a 1-y period. Morphometric 
determinations included size (longest anterior-posterior 
dimension), displacement volume, and packed volume (wet). 
These data were used to establish empirical relationships 
between seed size and volume (displacement and wet 
packed) which are reported here as a revision of Belding's 
Tables. The empirical relationships, thus established, were 
iteratively employed in the construction of a model to pre- 
dict seed clam volume. The model assumed that the volume 
of a hard clam is proportional to the cube of a linear dimen- 
sion. The iterations allowed model refinements which pro- 
duced positive correlations between predicted and observed 
data. We summarize collected data on size/volume relation- 
ships in seed clams and present a model, based on truncated 
spheres, which attempts to relate size and volume character- 
istics in seed clams within the size range of 1 .0 to 1 5 .0 mm. 

A DESCRIPTIVE MODEL FOR THE CONSERVATION OF 

BLUE CRAB LARVAE IN THE VICINITY OF 

CHESAPEAKE BAY 

J. R. McCONAUGHA, D. R. JOHNSON 
AND A. J. PROVENZANO 

Department of Oceanography 
Old Dominion University 
Norfolk, Virginia 23508 

An extensive series of plankton samples taken from the 
waters around Chesapeake Bay indicates that all larval stages 
of the blue crab Callineetes sapidus Rathbun are concentra- 
ted in the upper layers of the water column with maximum 



numbers in the upper 1 m. This distribution insures that 
stage I larvae hatched near the bay mouth are entrained in 
the outwardly flowing surface water. The general longshore 
current in the Mid-Atlantic Bight is southward which would 
tend to transport larvae towards Cape Hatteras. This would 
result in their being lost to the system. Recent evidence sug- 
gests that during the summer months, when peak spawning 
occurs, there is a wind generated counter-current on the 
inner shelf. The width and speed of this corridor is related 
to wind direction and velocity. Larvae entrained in this 
counter-current are returned to the vicinity of Chesapeake 
Bay and contribute to recruitment. The horizontal distri- 
bution of blue crab larvae from field samples is consistent 
with this hypothesis. 

A TEST OF A DART TAG FOR JUVENILE BLUE CRABS, 
CALLINECTES SAPIDUS RATHBUN 

R. E. MILLER 

University of Maryland 

Horn Point Environmental Laboratories 

Cambridge, Maryland 21613 

A small dart tag was applied to the posterior junction 
between the ventral and dorsal parts of the cephalothorax 
of 80 juvenile blue crabs to test for success of molting and 
tag retention during the molting process. Sixty-one percent 
of tagged crabs which began ecdysis were successful in 
molting and retained the tag; however, overall mortality 
rate for tagged crabs was twice that of the untagged control 
group. 

METHODS FOR FIELD EXPERIMENTS 
WITH BAITED TRAPS 

ROBERT J. MILLER 

Fisheries Research Branch, Canada 
Department of Fisheries and Oceans 
Halifax, Nova Scotia, Canada, B3J2S7 

The number of uncontrolled variables and the number of 
potentially testable variables in the field environment can 
be distracting and intimidating to the field technicians. This 
environmental complexity requires greater mental discipline 
to conduct good experiments in the field than is required in 
the tidier laboratory environment. Problems frequently 
encountered in conducting experiments on design and fishing 
strategy of baited traps are as follows. Testing of hypotheses 
using fishermen's logbook data commonly gives biased 
results and has poor resolution because fishing variables are 
neither controlled nor random and data are often incorrect. 
Because most fishermen lack appreciation for correct experi- 
mental procedures, even dictating an experimental design 
will not assure a properly executed experiment. Preliminary 



98 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



trapping should be carried out to locate an experimental area 
with uniform catch rates, to determine the optimum sample 
size, and to solve logistical problems in conducting the 
experiment. Experimental treatments should be randomized 
in space and time to avoid bias. An investigator rarely knows 
enough about the uncontrolled variables in the field to jus- 
tify a systematic allocation of treatments in space and time. 
Variance is controlled by careful attention to details of bait 
quantity and quality, by keeping traps in good repair, by 
standardizing soak time, and by standardizing time of day 
of setting traps. 

A FIRST ESTIMATE OF INDIRECT FISHING 

MORTALITY IN THE ICELAND SCALLOP 

CHLAMYS ISLANDICA (MU LLER) 

K. S. NAIDU 

Research and Resource Services 
Department of Fisheries and Oceans 
P.O. Box 5667. St. John's. 
Newfoundland, Canada A1C 5X1 

Natural mortality in Iceland scallops (Chlamys islandica), 
computed from the ratio of cluckers to live animals, as 
might be expected, increased with age. Higher than average 
rates were found for the fully recruited ages (> 8 y) on 
heavily exploited grounds than in scallop beds subject to 
light or initial exploitation. The difference in mortality rates 
between near-virgin and fully exploited areas is ascribed to 
indirect fishing mortality associated with repetitive towing 
on productive grounds. 

THE ANNUAL GLYCOGEN CYCLE IN THE SOFT-SHELL CLAM 
MYA ARENARIA LINNE FROM MAINE 

CARTER R. NEWELL 

Program in Oceanography . University of 
Maine at Orono, Ira C. Darling Center 
Walpole, Maine 045 73 

A field population of adults of Myaarenaria was sampled 
at approximately semi-monthly intervals for one year to 
determine glycogen levels in the meats. Highest levels 
occurred in late spring and early summer. Post-spawning late 
summer and fall levels were intermediate, and lowest levels 
occurred in the winter. Glycogen levels in juveniles and adults 
of M. arenaria were compared and the relationships between 
glycogen levels and gametogenesis, food availability, and 
temperature are discussed. 

THE EFFECTS OF SEDIMENT TYPE ON GROWTH RATE 

AND SHELL ALLOMETRY IN THE SOFT-SHELL CLAM 

MYA ARENARIA LINNE 

CARTER R. NEWELL 

Program in Oceanography, University of 
Maine at Orono, Ira C. Darling Center 
Walpole. Maine 04573 



Hatchery-reared juveniles of Mya arenaria were grown 
for 1 1 weeks in replicated gravel, sand, mud, and pearl net 
treatments under flow-through seawater conditions in Maine. 
Analyses of variance showed significant differences between 
sediment treatments for final shell length, dry meat weight, 
chondrophore growth increment, and percent shell weight. 
Growth of juveniles of M. arenaria was more rapid in fine 
sediments than in coarse sediments or nets. The slopes of 
shell length vs. shell height and shell length vs. shell depth 
regressions also varied significantly between sediment treat- 
ments. Slower growing clams from nets and gravel were more 
globose than clams from sand or mud treatments. Clams 
reared in sand were longer and narrower than those reared 
in mud. Differences in growth rates and shell form were 
attributed primarily to the physical properties of the sub- 
stratum. 

PREFERENTIAL INGESTION OF ORGANIC MATERIAL FROM 

THE CONSUMED RATION BY THE OYSTER 

CRASSOSTREA VIRGINICA (GMELIN) 

ROGER I. E. NEWELL AND 
STEPHEN JORDAN 

Horn Point Environmental Laboratories 
University of Maryland. P.O. Box 775 
Cambridge. Maryland 21613 

Considerable debate exists in the literature as to whether 
suspension-feeding bivalve molluscs can preferentially ingest 
the organic component of the seston. Most of those discus- 
sions were based on circumstantial evidence rather than reli- 
able, quantitative measurements of the chemical composition 
of the oyster's food or biodeposits. This paper gives details 
of steady state measurements of the carbon, nitrogen, and 
energy content of the seston being fed to the oyster Cras- 
sostrea virginica and of the faeces and pseudofaeces being 
voided. The results indicate that, over the tested range of 
food concentrations (from 4—20 mg/1), the amount of 
energy (expressed as Joules/mg of dry weight of material) 
voided in the pseudofaeces by C. virginica can be reduced 
by 60% compared to the concentration in the food. Similar 
results were obtained from the carbon and nitrogen analysis. 
These data strongly indicate that C. virginica has the capa- 
bility of selecting certain particles from the total seston 
filtered from suspension, with the result that more food 
particles are rejected in the pseudofaeces. 

FACTORS LIMITING ABUNDANCE OF 
CALLINECTES SPP. 

ELLIOTT A. NORSE 1 AND 
VIRGINIA FOX-NORSE 2 

Center for Environmental Education 
624 9th Street NW, 
Washington. D.C. 20001 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 



99 



United States Environmental 
Protection Agency, Office of Federal 
Activities, A- 104 
Washington, DC 20460 

The abundance of organisms varies in space and time be- 
cause the factors that limit abundance vary spatially and 
temporally. Understanding limiting factors and the ways 
organisms respond to them can lead to improved blue crab 
catches. Blue crab populations can be limited directly by 
(1) insufficient recruitment from the plankton; (2) inade- 
quate water quality, due either to natural or man-made causes; 
(3) insufficient resources, including food and cover;(4) inter- 
ference competition, especially from other crabs; and (5) 
removal by parasites, natural predators, and crabbers. Each of 
these classes of limiting factors can be tested experimentally. 
The results of these studies can suggest more effective ways 
to improve catches by managing not only the populations 
of blue crabs, but also the ecosystems to which they belong. 

TOTAL WIDTH -WEIGHT RELATIONSHIPS OF THE BLUE 

CRAB CALLINECTES SAPIDUS RATHBUN FROM THE 

ASHLEY RIVER, SOUTH CAROLINA 

EUGENE J. OLMI, III AND 
JAMES M. BISHOP 

Marine Resources Research Institute 
South Carolina Wildlife and Marine 
Resources Department 
Charleston, South Carolina 29412 

Equations expressing total width-weight relationships of 
blue crabs (Callinectes sapidus) were calculated in relation 
to sex, sex by maturity, sex by molt sign, and sex by cara- 
pace form. All calculations were restricted to intermolt 
(Stage C) crabs except when molt sign was considered, and 
comparisons were restricted to crabs of similar size. Sex, 
maturity, molt sign, and carapace form significantly affected 
width-weight relationships. Overall, males were heavier than 
females of equal width. Mature males exhibited a greater 
mean weight than immature males, but mature females 
weighed less than immature females of similar size. Crabs 
with short lateral spines were heavier than those of the 
same sex with long spines. Intermolt and premolt (Stage D) 
males and females were heavier than recently molted (Stages 
A and B) males and females, respectively. Premolt females 
were heavier than intermolt females; a similar difference 
was not observed for males. Ashley River crabs were generally 
heavier than crabs from Florida, Texas, and Virginia. These 
differences may not be real, however, because many variables 
affect width-weight relationships of blue crabs and only sex 
differences were reported. Geographical variation is known 
to exist in crab populations, but only well defined compari- 
sons between populations should be considered. 



SIGNIFICANCE OF THE NEUSTON LAYER IN THE 

DISPERSAL OF LARVAE OF THE BLUE CRAB 

CALLINECTES SAPIDUS RATHBUN 

A.J.PROVENZANO,J.M. 
McCONAUGHA, AND D.F. JOHNSON 

Department of Oceanography 
Old Dominion University 
Norfolk, Virginia 23508 

The distribution of larval blue crabs in the water column 
affects their transport out of Chesapeake Bay and during 
the larval period. The patterns of vertical distribution are 
not similar to those of other crab species in the region. First 
stage larvae are found predominantly in the neuston layer 
during the hatching season in the mouth of Chesapeake Bay 
and are carried seaward by the ebb tides. Later develop- 
mental stages, including the megalopae, are also found pre- 
dominantly in the neuston or upper 1 m, with very few being 
caught in intermediate layers or near bottom. Up to 99% of 
stage I larvae in the bay mouth and more than 70% of all 
Callinectes larvae of all stages even offshore were found 
above lm. No evidence of vertical migration of any stage 
was obtained. The effect of this distribution is to make 
larval blue crabs very susceptable to surface effects and wind 
driven currents during larval development and immediately 
after metamorphosis to the megalops. Studies which do not 
include the neuston layer may overlook a major fraction of 
the total population of blue crab larvae. Most previous 
studies of larval blue crab occurrence and distribution did 
not include sampling of the neuston and consequently some 
conclusions based on those studies were erroneous. 

GROWTH ENHANCEMENT OF MY A ARENARIA LINNE 

AND MERCENARIA MERCENARIA (LINNE) 

BY MARINE MACROALGAE 

HAUKE K. RASK 

Ira C. Darling Center, University of Maine 
Walpole, Maine 04573 

Juveniles of My a and Mercenaria were Alizarin-stained 
and cultured for 12 weeks in flow-through tanks containing 
one of three different species of macroalgae. Clams grown 
with Ascophyllum nodosum Linnaeus and Laminaria longi- 
cruris De la Pylaic were significantly larger with respect to 
shell dimensions than controls and those grown with Ulva 
lactuca Linnaeus. Maximum enhancement was observed 
with Ascophyllum in all czses;Mya grown with Ascophyllum 
grew 4.54 times more than controls, while Laminaria treated 
My a showed 2.14 times more growth. A similar but less 
pronounced trend was seen for Mercenaria. Treatments 
with Ascophyllum and Laminaria were 12.6% and 9.6% 
larger than controls, respectively. Growth with Ulva was less 



100 Abstracts, 1982 Annual Meeting, June 14-17. 1982 



National Shellfisheries Association, Baltimore, Maryland 



than control treatments but differences were not significant. 
The mechanisms of growth enhancement from different 
macroalgae and their importance in aquaculture are discussed. 

ECONOMIC CONSIDERATIONS IN MANAGEMENT OF THE 
COMMERCIAL BLUE CRAB FISHERY 

RAYMOND J. RHODES 

Division of Marine Resources 
South Carolina Wildlife and Marine 
Resources Department 
Charleston, South Carolina 29412 

From an economic prospective, the major consideration 
of common wealth fishery management is to maximize net 
benefits derived from the resource. In the case of commer- 
cial fisheries, net benefits accruing to society should include 
harvest revenues minus private costs (e.g., public adminis- 
tration and enforcement). In order to accomplish manage- 
ment objectives, private costs and public transactions costs 
need to be minimized. A simple review of various blue crab 
regulations germane to these economic concepts was 
performed. 

CHEMICAL ECOLOGY OF OYSTER DRILLS 



M. CARRIKER 1 , L. WILLIAMS\ AND 
L. WOOD 3 

University of Delaware, College of 
Marine Studies, 700 Pilot town Road 
Lewes, Delaware 1 9958 

Department of Botany. University of 
Washington, Seattle, Washington 98195 
3 101 Whitcomb Circle 
Lafayette, Louisiana 70503 

Oyster Drills are predatory snails that eat a wide spectrum 
of shelled prey such as oysters, mussels, and barnacles. Drills 
have a well documented ability to locate intact prey from a 
distance by following chemical trails. We have looked in 
detail at the molecular basis of prey location by drills. Newly 
hatched drills can locate only barnacles from a distance. This 
ability is apparently genetic as maternal diet and prey odor 
environment do not enable the young to locate other prey 
such as oysters or mussels. Once a newly hatched drill has 
fed for some time on oysters, however, it develops the 
ability to locate oysters. The molecules used by drills to 
locate either barnacles or oysters are similar peptides. 
Animals that can locate only barnacles, however, cannot 
use even high concentrations of oyster attractant to locate 
oysters. Drills cannot locate mussels from a distance even if 
they have fed upon mussels. In fact, mussels produce a 
molecule that suppresses the ability of drills to locate prey 
from a distance. This molecule is much different than the 
attractant molecules. It has a molecular weight less than 



500 Daltons and does not appear to be a peptide. As a result 
of the differences between attractants and suppressants and 
the responses of inexperienced versus experienced drills we 
can measure levels of attractants and suppressants in natural 
waters. We hope that an understanding of the molecules 
and mechanisms involved in prey location can provide a 
means of drill control in the near future. 

DOCUMENTATION OF ANNUAL GROWTH LINES IN THE 
OCEAN QUAHOG.4/?77C4 ISLANDICA LINNE 

J. VV. ROPES 1 , D. S. JONES 2 , S.A. 
MURAWSKl',F.M.SERCHUK 1 AND 
A. JEARLD, JR. 1 

U.S. Dept. Commerce. NMFS 
Woods Hole, Maine 02543 

Dept. Geoi, Univ. Florida 
Gainesville, Florida 32611 

About 42,000 ocean quahogs (Artica islandica) were 
marked for release at a deep (53-m) oceanic site off Long 
Island, NY, in 1978. Shells of live specimens recovered 1 
and 2 years later have been radially sectioned, polished, and 
etched for preparation of acetate peels and examination by 
optical microscopy or microprojection; selected specimens 
were similarly prepared for examination by scanning elec- 
tron microscopy. Specific growth-line and growth-incre- 
ment microstructures are described and photo-illustrated. 
An annual periodicity of microstructure is documented. 
The observations form a basis for resource assessment ageing 
studies of the commercially important species. 

THE CHESAPEAKE BAY BLUE CRAB FISHERY: 
HISTORICAL TRENDS AND EMERGING ISSUES 

LEONARD A. SHABMAN AND 
TAMARA VANCE 

Department of Agricultural Economics 
Virginia Polytechnic Institute 
Blacksburg, Virginia 24061 

Twenty-year trends in the Chesapeake Bay (Virginia and 
Maryland) blue crab fishery were measured with National 
Marine Fisheries Service data. Despite a recent downward 
trend in landings, Virginia continues to have the largest 
annual harvest of blue crabs in the U.S. While the total 
number of crabbers in Virginia has been stable, there have 
been decreasing numbers of users of trotlines and dredges 
and increases in users of pots. The mean harvest per crabber 
has fluctuated with a perceptible downward trend; but con- 
sistently rising ex-vessel prices have maintained rising gross 
income in the fishery. Maryland landings, like Virginia's, are 
a significant portion of U.S. harvest and have shown a slight 
downward trend. The number of Maryland crabbers has 
more than tripled over the observed period— predominantly 
from additions to the recorded number of part-time laborers. 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts, 1982 Annual Meeting, June 14-17, 1982 101 



There has not been a decline in the use of trotlines in Mary- 
land, as in Virginia, because of restrictions on the use of pots 
in certain Maryland waters. In Maryland, the mean harvest 
per crabber has fallen over the period. Consistently rising 
ex-vessel prices have resulted in an upward trend in mean 
labor income for Maryland pot crabbers, but there has been 
a drop in mean labor income for Maryland trotline crabbers. 
Based upon this review, three factors affecting the future 
growth of the industry are discussed: (1) state laws to protect 
brood stocks differ and confuse stock management efforts; 
(2) current public management programs(primarily licensing) 
may not be promoting maximum economic yield from the 
fishery ;and (3) economic uncertainties restrain development 
of processing facilities and, in turn, discourage harvest. 

MANAGEMENT OF THE BLUE CRAB FISHERIES IN 
NORTH CAROLINA: A CASE HISTORY 

TERRY M. SHOLAR 

North Carolina Division of Marine 
Fisheries, Washington, 
North Carolina 27889 

Blue crabs support one of North Carolina's most impor- 
tant fisheries. The recent expansion of the crab fisheries has 
resulted in numerous management problems concerning 
resource allocations and gear conflicts. Regulatory authority 
for management in North Carolina has been delegated by 
the General Assembly to a 15-member commission which 
enacts regulations based on staff recommendations and 
input from the industry and general public. A key manage- 
ment tool is the proclamation authority which has been 
delegated by the Commission to the Secretary of the De- 
partment of Natural Resources and Community Develop- 
ment to respond rapidly to management needs. Proclama- 
tions can be issued to invoke a management action with a 
minimum of 48 h of public notice. This is generally done to 
open or close areas to a particular fishing method or to set 
seasons. This ability allows effective response to rapidly 
changing situations within the fisheries and the stocks. An 
example of North Carolina's management system involving 
the blue crab fisheries concerns resource allocation in certain 
tributaries of Pamlico Sound. Potting and trawling are in- 
compatible gears competing for space and resource. Each is 
controlled by proclamation. The decision to allow a certain 
fishery to occur is based on biological, economic, and social 
implications, with multiple-use resource management and 
protection being major factors in the decision. Tagging 
studies are being used to evaluate management strategies 
and their effect on maximizing crab harvest, and to deter- 
mine short-term migratory habits. Numerous other manage- 
ment issues affecting blue crabs and their fisheries such as 
minimum size limit, mandatory cull rings in pots, spawning 



sanctuaries, and nursery area protection are addressed. 

THE TEXAS OYSTER STUDY. I. RELATIONSHIPS 

BETWEEN AVAILABLE FOOD, OYSTER 

COMPOSITION, CONDITION, AND 

REPRODUCTIVE STATE 

THOMAS M. SONIAT 1 AND 
SAMMY M. RAY 2 

Department of Biological Sciences 
University of New Orleans, Lakefront 
New Orleans, Louisiana 70148 

Department of Marine Biology 
Texas A &M University at Galveston 
P.O. Box 1675, Galveston, Texas 77553 

We examined the relationships between what is available 
for the oyster to eat, the oyster's proximate composition. 
its condition, and its reproductive state. Changes in the 
proximate composition of oysters were associated with 
changes in the annual cycle of fattening, storage, and repro- 
duction. The fattening phase was characterized by high dry- 
weight condition indices and elevated carbohydrate (glyco- 
gen) concentrations. A "storage cycle," the transition from 
stored glycogen to the lipid reserves in developing eggs, was 
evident in Crassostrea virginica (Gmelin). The gonadal index 
and percent lipid composition of the oyster were positively 
correlated. Spawned oysters had low lipid and carbohydrate 
concentrations, low condition and gonadal indices as well as 
high concentrations of water and protein. Available food 
for the oyster was measured as a food index. The food 
index was defined as the percentage food (food = lipid + 
carbohydrate + protein) in the total seston. The food index 
was higher in the spring and summer and was correlated 
with the gonadal index of oysters. Apparently, the amount 
of food was greatest at the time of greatest energy demand; 
that is, during gametogenesis. 

THE TEXAS OYSTER STUDY. II. MODELS OF OYSTER 
NUTRITION IN THE NATURAL ENFIRONMENT 

THOMAS M. SONIAT 1 . SAMMY M. 
RAY 2 AND REZENAT M. DARNELL 3 

Department of Biological Sciences 
University of New Orleans. Lakefront 
New Orleans, Louisiana 70148 

Department of Marine Biology 
Texas A &M University at Galveston 
P.O. Box 1675, Galveston, Texas 77553 

Department of Oceanography 
Texas A&M University 
College Station, Texas 77843 

Two FORTRAN models were developed to integrate in- 
formation about measured food levels (i.e., the food index) 
with the presumed needs of the oyster. One model assumed 
no selective ingestion on the part of the oyster. Another 
model assumed that the oyster could selectively ingest 



102 Abstracts. 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



organic material. Although the results of the models are in 
fair agreement with published literature, this agreement 
could simply be fortuitous. The correspondence between 
the models we developed and other works, however, suggests 
the possibility that the food index is a useful measure of 
available food, that the simplifications made in the models 
are reasonable ones, and that enough particulate food was 
present to sustain oysters in the area studied. 

A CYTOGENETIC METHOD AS A TOOL FOR ASSESSING 
THE CONDITION OF SHELLFISH LARVAE 

S. STILES AND J. CHOROMANSKI 

National Marine Fisheries Service 
Northeast Fisheries Center 
Milford Laboratory 
Milford. Connecticut 06460-6499 

As a means of assessing their condition at the cellular 
level, cultured oyster larvae were examined cytologically by 
employing a relatively simple squash technique. Chromo- 
some groups, and normal and abnormal cells and nuclei 
were evident. Bacteria also were discernible with this method. 
These observations were an indication of general health of 
the larvae in culture and provided some information regard- 
ing subsequent development and survival. In addition to 
being able to observe pathological states of the cells and 
bacterial infections, one could use the procedure to deter- 
mine the numbers of cells in mitosis as an indicator of 
growth rate. Larvae, potentially, could be pre-treated with 
colchicine to arrest cells in mitosis for counting the chromo- 
somes to obtain karyotypes as an aid in plankton identifica- 
tion. Cytological analyses of the larvae could have many uses 
in toxicological studies, including bioassays, as well as in 
hatchery rearing and breeding. 

ISOLATION AND PARTIAL CHARACTERIZATION 

OF A MALATE DEHYDROGENASE FROM 

CRASSOSTREA VIRGINICA (GMELIN) 

MARY L. SWIFT AND 
S. LAKSHMANAN 

Chemistry Department, University of 
Maryland, College Park, Maryland 20742 

Final details of glucose metabolism in marine bivalve 
molluscs are yet to be elucidated. Malate dehydrogenase 
(E.C.I .1 .1.37) has been implicated in the catabolic path- 
way leading to the formation of succinate, a major end pro- 
duct of anaerobic metabolism in bivalve molluscs. Further 
clarification of this metabolic scheme may be gained by an 
examination of the properties of malate dehydrogenase 
(MDH). Homogenates of tissues of Crassostrea virginica 
contain at least 3 MDH isoenzymes. One of these was iso- 
lated from acetone powders of mantle and gill tissue by 



ammonium sulfate fractionation, gel permeation, and ion- 
exchange chromatography. Some properties of this prepara- 
tion were determined. The Michaelis-Menten constants were : 
K m(OAA) = 1.18xlO- 4 M; K m(NADH ) = 4.86xl(r 5 M; 
Km(mal) = 1.35xlO*M; K m(NAD) = 1.30xlO" 4 M. The 
following were not substrates: NADP + , a-ketobutyrate, a- 
ketovalerate, a -ketoglutarate.D-malate, pyruvate, succinate, 
oxomalonate. Tartronate, D-, L-, and mesotartrate were not 
substrates and were found to be competitive inhibitors of 
malate oxidation. The pH optima were: 7.6 for NADH oxi- 
dation and 9.5 for NAD + reduction. MDH was inhibited by 
p-chloromercuribenzoate and N-ethylmaleimide. Listed in 
decreasing order of effectiveness, Cd ++ , Zn ++ , Cu ++ , Co ++ 
and Ni ++ inhibited NADH oxidation by MDH. 

COMPARISON OF THE GROWTH OF CRASSOSTREA 

VIRGINICA (GMELIN) AT FIVE ALGAL RATION 

LEVELS WITH SPECIFIC REFERENCE TO 

PREDICTIVE FEEDING EQUATIONS 

EDWARD R. URBAN AND 
G. D. PRUDER 

College of Marine Studies 
University of Delaware 
Lewes, Delaware 19958 

Mixtures of the algae Thalassiosira pseudonana Hasle et 
Heimdal (clone 3H) and Isochrysis aff. galbana Parke (T- 
ISO) were fed at each of 5 levels to juveniles of Crassostrea 
virginica. The oysters were grown for 3 wk at 25 °C and a 
salinity of 30 ppt. The relationship between algal ration level 
and oyster growth is presented. The results are discussed 
with specific reference to several feeding equations 
either published or in use or both. Recommended algal 
ration levels are compared for their relative effectiveness. 
We show that neither cell number, nor volume, nor weight 
constitute an acceptable parameter for comparing algal 
species or bivalve species. We recommend that feeding 
studies be carried out for any new combinations of algae 
until the nutritive value of the algal species can be correlated 
with physical characteristics and environmental conditions. 
The prudent use of predictive algal ration equations as 
management tools is discussed. 

A BLUE CRAB MANAGEMENT PLAN: 
OBJECTIVES AND RESPONSIBILITIES 

W1LLARD A. VAN ENGEL 

Virginia Institute of Marine Science 
The College of William and Mary 
Gloucester Point, Virginia 23062 

The blue crab, Callinectes sapidus Rathbun. of the 
Atlantic and Gulf coasts supports one of the major marine 
fisheries of the United States. Regulatory authority 



National Shellfisheries Association, Baltimore, Maryland 



Abstracts. 1982 Annual Meeting, June 14-17, 1982 103 



concerning licensing, size and sex limits, quotas, seasons, 
gear restrictions, and other controls over harvesting within 
its territorial waters rests with each state, retained by the 
respective state legislatures, but may be delegated to a com- 
mission. Regulations should be based on the best biological, 
economic, sociological, and environmental knowledge and 
provide for optimum yield from the resource. The blue crab 
industry's problems are not limited to regulation of the har- 
vest. They also include the need for federal and state assis- 
tance in processing, marketing, and research; conservation 
of the blue crab habitat; and an adequate data base. A com- 
prehensive blue crab management program should protect 
the resource, encourage and assist fishing with a minimum 
of regulations, and promote utilization of the product. 

THE BEHAVIORAL BASIS OF LARVAL DISPERSAL 

AND RECRUITMENT IN THE BLUE CRAB 

CALLINECTES SAPIDUS RATHBUN 

W. F. VAN HEUKELEM AND 
S. D. SULKIN 

Horn Point Environmental Laboratories 
University of Maryland 
Cambridge. Maryland 21613 

Laboratory experiments have demonstrated that Stage I 
blue crab zoeae exhibit a number of behavioral traits which 
should result in distribution high in the water column. These 
traits include: negative geotaxis which is unaffected by salin- 
ity changes of 5 ppt; high barokiness at hydrostatic pressures 
exceeding 1 atmosphere; increased swimming rate with 
increased salinity; positive phototaxis at light intensities of 
> 1CT 3 W/m 2 ; maintenance of swimming speed with 
decreasing temperature ;and the ability to traverse haloclines 
of 10 ppt as well as sharp thermoclines. Because it is known 
that female blue crabs migrate to the mouth of Chesapeake 
Bay to spawn, these behavioral traits should result in massive 
export of virtually all Stage I zoeae in surface waters. Field 
evidence by other workers supports this contention. Mega- 
lopae possess behavioral traits that differ from late zoeal 
stages, chiefly, a highly sensitive pressure response, faster 
swimming speeds, negative geotaxis, and possibly locomotor 
rhythms that may enhance their transport back into estu- 
aries. Since larval development occurs on the continental 
shelf, recruitment success of megalopae back into estuaries 
is likely to be highly dependent on offshore climatological 
events that determine coastal circulation patterns during 
the summer and fall. 

REPRODUCTIVE PERIODICITY OF BUSYCON CARICA 
(GMELIN) IN WATERS OFF SOUTH CAROLINA 

DEBRA A. WEINHEIMER 

Department of Biology 
College of Charleston 
Charleston, South Carolina 29424 



A total of 1237 knobbed whelks (Busy con carica) were 
collected over a 13-month period near Charleston Harbor, 
SC. Gonad maturation stages were determined by gonad 
color and histological sectioning. Monthly fluctuations in 
gonad weight, penis or nidamental gland weight, gonadal 
index, and reproductive index were also examined, of the 
six reproductive characteristics used in this study, gonadal 
index values were considered to be the best indicators of 
periodicity. The highest gonadal index values for males 
occurred in September, October, November 1979, and in 
March 1980. The highest values for females occurred from 
September 1979 through May 1980. Sex ratios fluctuated 
monthly. The number of females was significantly higher 
than the number of males from July 1979 through January 
1980. This situation was reversed in April 1980 when the 
number of males was significantly higher than the number of 
females. Sex ratios also fluctuated when examined using 
shell-length classes. The smallest individuals in the monthly 
samples were females (60-64 mm). All individuals with shell- 
length values > 159 mm were female. Sex ratio relationships 
to reproductive periodicity are discussed. 



DISTRIBUTION, SIZE, AND SEX COMPOSITION 

OF THREE SPECIES OF CALLINECTES 

IN THE COASTAL HABITAT OF THE 

SOUTH ATLANTIC BIGHT 

ELIZABETH L. WENNER AND 
CHARLES A. WENNER 

Marine Resources Research Institute 
Charleston, South Carolina 29412 

Collections by shrimp trawl during summer of 1980 at 
depth of 4.5 — 18 m between Cape Fear, NC, and Cape 
Canaveral, FL, showed that biomass of Callinectes sapidus 
Rathbun was greater than that of the other 72 decapod 
species collected. Callinectes similis Williams ranked fourth 
in abundance among the other decapod species collected, 
but C sapidus and C. ornatus Ordway were not as numerous. 
Catches of Callinectes spp. were greatest in the nearshore 
depth zone of 4.5— 8.5 m. Density and biomass totaled for 
all strata were greatest for C similis and C. ornatus off Flor- 
ida, and for C. sapidus off South Carolina. Few mature or 
ovigerous females of C. similis andC. ornatus were collected, 
whereas most females of C. sapidus were either mature or 
ovigerous. Significantly more females than males of C. sapi- 
dus were collected. The ratio of M:F for other Callinectes 
spp. varied with location. Sizes of crabs were not correlated 
with depth or distance from shore. 



104 Abstracts, 1982 Annual Meeting, June 14-17, 1982 



National Shellfisheries Association, Baltimore, Maryland 



NURSERY CULTURE OF THE BAY SCALLOP ARGOPECTEN 

IRRADIANS IRRADIANS (LAMARCK) IN SUSPENDED 

MESH ENCLOSURES 

JAMES C. WIDMAN, EDWIN W. 
RHODES AND P. A. BOYD 

Milford Laboratory. Northeast Fisheries 
Center, National Marine Fisheries Service 
212 Rogers Avenue, 
Milford, Connecticut 06460-6499 

Suspended mesh enclosures with bottom areas of 0.1 m 2 
were used to grow hatchery-reared bay scallops in Long 
Island Sound in 1980 and 1981. The enclosures were con- 
structed of 3- or 7-mm polyethylene mesh and were 



anchored at a depth of 8 m and buoyed with styrofoam 
floats. Scallops as small as 4.6 mm were successfully grown 
to a size > 20 mm in the units. Acclimated scallops deployed 
in the spring of 1981 at temperatures as low as 5°C survived 
and subsequently grew normally as water temperatures 
increased. Scallop densities between 250 and 1 5,000/m 2 were 
tested in the enclosures, and although final shell height was 
inversely related to density, substantial growth occurred at 
all densities. Biovolumes of up to 3.9 C/enclosure were 
obtained. Some comparisons between culture of small 
scallops in mesh enclosures in Long Island Sound and in 
raceways were made and both systems were useful for 
nursery culture of this species. 



Journal of Shellfish Research, Vol. 3, No. 1, 105-115, 1983. 



ABSTRACTS OF TECHNICAL PAPERS 



Presented at 1982 Annual Meeting 



WEST COAST SECTION 

NATIONAL SHELLFISHERIES ASSOCIATION 

Olympia, Washington 
September 10-11, 1982 



Olympia, Washington, September 10-12, 1982 Abstracts, 1982 NSA West Coast Section Meeting 107 

CONTENTS 

Richard Albright 

Population Structure and Production of the Amphipod Corophium salmonis 

Stimpson in Grays Harbor, Washington 109 

/. H. Beanie and J. Perdue 

Progress in the Development of Resistance Against Summer Mortality through 

Selective Breeding of Pacific Oysters 109 

Clarke G. Beaudry 

Survival and Growth of the Larvae of Haliotis kamtschatkana Jonas 

at Different Temperatures 109 

Richard Bumgarner 

Recent Developments in the Spot Prawn Fishery in Hood Canal, Washington 110 

Ken Cooper 

Potential for Application of the Chemical DOPA to Commercial Bivalve 

Setting Systems 110 

Flinn Curren 

Japanese Oyster Drill Studies Ill 

Catherine Falmagne 

Problems Associated with the Rearing and Setting of Larvae of the 

California Mussel Mytilus californianus Conrad in a Hatchery 112 

Jill E. Follett 

A Histological Study of the Gastrointestinal Tract of the 

Tanner Crab Chionoectes bairdi Rathbun (Decapoda, Reptantia) 112 

Thomas C Kline 

The Effect of Population Density on the Growth of the Butter Clam Saxidomus gigantus 112 

Nancy Musgrove 

The Feeding Behavior of the Terebellid Polychaete Thelepus crispus Johnson 

in Response to Currents 113 

Louisa Nishitani and Kenneth Chew 

Vertical Migration of Gonyaulax catenella: Potential Implications for Management 

of Paralytic Shellfish Poisoning (PSP) Problems 113 

Scharleen Olsen 

Abalone and Scallop Culture in Puget Sound 113 

Timothy Sample 

PSP: Its History, Processes and Impacts as Applicable to Puget Sound 114 

A. Kimbrough Siewers 

Commercial Mariculture of a Bay Scallop Argopecten circularis (Sowerby) in 

the Ensenada of La Paz, Baja California Sur, Mexico 114 

John J. Sullivan and Wayne T. Iwaoka 

PSP Research: Recent Advances in Analytical and Biochemical Studies 114 

Louis Wachsmuth 

Disaster Ahead for the Yaquina Bay Oyster Industry? 115 



Olympia. Washington. September 10-12, 1982 



Abstracts, 1982 NSA West Coast Section Meeting 109 



POPULATION STRUCTURE AND PRODUCTION OF THE 

AMPHIPOD COROPHIUM SALMONIS STIMPSON IN 

GRAYS HARBOR, WASHINGTON 

RICHARD ALBRIGHT 

Division of Aquaculture and 
Invertebrate Fisheries. School of 
Fisheries, University of Washington 
Seattle, Washington 98195 

The tube-dwelling amphipod Corphium salmonis is a 
dominant benthic organism and important food resource in 
the estuarine mudflats of Grays Harbor, WA. Intertidal core 
samples were collected at two sites during the spring and 
summer of 1980 to determine the population structure, 
biomass, rate of growth, and production of C. salmonis. 
The abundance of C. salmonis ranged from 200 to 50.000 
individuals per m 2 . Peak abundances occurred during July 
and August. Abundances at the 1 .8-m stations were higher 
than at the 0.6-m stations. Females of C. salmonis attained 
sexual maturity at alength of 4.0— 4.5 mm. Brooding of eggs 
began in April and continued through the end of sampling 
(30 September). Male-female ratios were lower for sexually 
mature individuals of C salmonis than for immature individ- 
uals, apparently as a result of predation on sexually mature 
males which wander over the tideflats in search of females. 
Male-female ratios decreased in the lower intertidal zone, 
apparently as a result of increasing predation pressure. 
Ratios also decreased over time at all stations, suggesting 
that predation pressure may also increase through the spring 
and summer. An inverse relationship between male-female 
ratios for mature and immature amphipods suggests a pos- 
sible genetic response to disparate sex ratios among mature 
individuals. Data from both natural populations and from 
cohorts which were artificially isolated inside in situ cages 
were used to obtain size-specific growth rate curves and 
production estimates for C. salmonis. Total Corophium pro- 
duction for each station between 1 April and 30 September 
varied from 3.6 to 10.7g/m 2 dry wt. Corophium production 
was higher at the upper intertidal stations. Turnover rates 
(the ratio of production to mean biomass) ranged rom 7.2 
to 8.6. The production and turnover rates of Corophium 
salmonis are high relative to other invertebrate species. 
Thus, this amphipod is an important contributor to secondary 
production in Pacific Northwest estuaries, providing an 
important food resource for its predators, many of which 
are commercially or recreationally valuable. This production 
must be taken into consideration when making decisions 
relating to activities such as dredging and filling which have 
potentially adverse impacts on intertidal areas. 



PROGRESS IN THE DEVELOPMENT OF RESISTANCE 
AGAINST SUMMER MORTALITY THROUGH 
SELECTIVE BREEDING OF PACIFIC OYSTERS 

J.H. BEATTIE AND J. PERDUE 

Division of Aquaculture and 
Invertebrate Fisheries, School of 
Fisheries, University of Washington 
Seattle, Washington 98195 

Since 1974 the University of Washington^ School of 
Fisheries has been conducting research in the genetics of 
the giant Pacific oyster Crassostrea gigas (Thurnberg). The 
main emphasis of this work has been the development, 
through selective breeding, of oyster stocks with high sur- 
vival potential during summer mortality. Summer mortality 
is a phenomenon that routinely accounts for losses of from 
10 to 60% of harvestable 2-year-old oysters in bays of the 
states of Washington and California, and Japan. The breed- 
ing program began as a selection of individuals from wild 
populations. The selection process was based upon survival 
during elevated temperature (21 °C) challenges. The breed- 
ing of these individuals (one male mated with one female) 
produced families of oysters which could be tested and 
compared on growing grounds experiencing annual mortal- 
ities. On the basis of high survival during actual summer 
mortality, families were selected as the brood lines for future 
generations. Of 103 families tested since 1977, up to 78 
have had higher survival than non-selected controls. The pri- 
mary goal of the breeding program is to provide brood 
stock to commercial hatcheries for production of oyster 
seed resistant to summer mortality. However, for the past 
three years, the families have also been monitored for 
growth, gonadal development, and glycogen storage. Since 
reduced gonadal development and high glycogen content 
are desirable commercial characteristics, these parameters 
have also been used in our overall breeding plan. Brood 
stocks which appear to show promise have been made 
available to commercial hatcheries since 1978. Data are 
now being processed and evaluated from the experimental 
families which will provide valuable information concerning 
heritability of glycogen levels, and experiments are being 
conducted on the effects of inbreeding. With every step, an 
understanding of oyster genetics is clearer and the goal of 
commercial production of superior oysters is closer. 

SURVIVAL AND GROWTH OF THE LARVAE OF 

HALIOTIS KAMTSCHATKANA JONAS 

AT DIFFERENT TEMPERATURES 

CLARKE G. BEAUDRY 

Division of Aquaculture and 
Invertebrate Fisheries. School of 
Fisheries, University of Washington 
Seattle, Washington 98195 



110 Abstracts, 1982 NSA West Coast Section Meeting 



Olympia, Washington. September 10-12, 1982 



Larvae of the pinto (or threaded) abalone 7/a//or/s kamt- 
schatkana were reared at four temperatures, 14, 16, 18.5, 
and 21°C in 2-C glass beakers. Survival at the end of the 
experimental period was best at 18.5° and worst at 21°. More 
rapid settlement observed at higher temperatures may have 
improved survival at those temperatures by shortening the 
vulnerable planktonic stage during which most mortalities 
occurred. Abalone at the highest temperature (21°) showed 
signs of thermal stress and experienced total mortality. 
During early embryonic development, from fertilized egg 
through the trochophore, the lowest temperature (14°) pro- 
duced the most normal larvae and highest survival. At higher 
temperatures progressively more mortalities and abnormal- 
ities occurred. Larvae reared at 18.5° were consistently of 
greatest size at settlement; however, abalone reared at 16° 
grew more rapidly and obtained the greatest length at the 
end of a 2-month period. 

RECENT DEVELOPMENTS IN THE SPOT PRAWN FISHERY 
IN HOOD CANAL, WASHINGTON 

RICHARD BUMGARNER 

Washington Department of Fisheries 
Point Whitney Shellfish Laboratory 
Brinnon, Washington 98320 

Hood Canal, a major arm of Puget Sound, is located in 
northwestern Washington about 48 km (30 mi) west of 
Seattle. This is the only area in Washington that has consis- 
tently produced commercial quantities of the spot prawn 
Pandalus platyceros Brandt. Harvest for both commercial 
and personal use (recreation) has been restricted to shell- 
fish pot gear since the early 1950's. Increased commercial 
fishing pressure and poor recruitment between 1972 and 
1974 resulted in a decline in spot prawn abundance and 
serious conflict between commercial and recreational fisher- 
men. This necessitated emergency season closures in 1974, 
1975, and 1976. The year 1977 marked the beginning of a 
new management approach for the Hood Canal spot prawn 
stocks and associated fisheries. Season lengths and opening 
dates were set according to the results of a preseason stock 
assessment and anticipated fishing effort. To ensure an equi- 
table share of the available surplus for recreational fishermen 
the season was opened first to sport fishing and later to 
commercial harvest. By 1979, all fishermen were restricted 
to the use of shellfish pot gear having a mesh size of 
> 2.2 cm (7/8 in). This was initiated to protect juvenile 
prawns and to increase total yield. Changes in management 
appear to be working well. Since 1977, stock abundance 
has increased from a pre-season index of 1 .1 3 kg (2.5 lb) to 
3.06 kg (6.75 lb) per pot in 1982. Harvest is also at an all 
time high. Nearly 95 metric tons were taken in both 1981 



and 1982. Improved fishing success has also, in part, led to 
a tremendous increase in fishing pressure. The rate of 
increase has averaged nearly 50% per year since 1977. Better 
methods of effort-control are now needed to deal with the 
rapid expansion of this fishery. 

POTENTIAL FOR APPLICATION OF THE CHEMICAL DOPA 
TO COMMERCIAL BIVALVE SETTING SYSTEMS 

KEN COOPER 

Department of Biology 
Humboldt State University 
Areata, California 95521 

Simple chemical compounds have been shown to trigger 
attachment and metamorphosis of the larvae of several 
species of marine invertebrates. The simplest molecules in 
which settlement inducing activity has been demonstrated 
are L-3. 4-dihydroxyphenylalanine (DOPA), gamma- 
aminobutyric acid (GABA), and choline. These molecules 
occur in the marine environment as covalently bounded 
compounds associated with adhesives, lubricants, exoskeletal 
proteins, and pigments. A review of numerous studies clearly 
implicated these chemical cues in successful habitat selec- 
tion by invertebrate at the termination of the planktonic 
stage of the life cycle. The similarity between these mole- 
cules and neurotransmitters suggests that the chemoreceptors 
are modified either ontogenetically or phylogenetically from 
receptors specific to the neurotransmitters dopamine. GABA. 
and acetylcholine. Selectivity in response by larvae to a 
given chemical appears to depend on the neurotransmitter- 
like portion of the compound, whereas specificity appears to 
depend on the protein, carbohydrate, or lipid constituents. 
Pediveligers of the blue mussel Mytilus edulis Linne and the 
giant Pacific oyster Crassostrea gigas (Thurnberg) settle 
in response to the amino acid DOPA. Implementing the use 
of chemicals to commercial setting systems depends on 
being able to either modify the chemoreceptors so that they 
respond to an inexpensive and easily available chemical 
and/or manipulating settlement behaviors. The initial 
objectives of my study were to determine the response of 
oyster larvae to DOPA, to examine the potential for applica- 
tion to existing commercial setting systems, and to 
determine the effect of several environmental factors on 
the degree of response. Aliquots of hatchery -reared pedivel- 
igers of C. gigas were tested for attachment in culture dishes 
to both aged oyster shells and the smooth glass surface of 
culture dishes. The pediveligers were reared at 34 ppt and 
at 25 °C. Within individual tests, the settlement response by 
the pediveligers was examined following exposure to DOPA 
at 0.00001 M while varying the salinity (25 to 35 ppt) and 



Olympia, Washington, September 10-12, 1982 



Abstracts, 1982 NSA West Coast Section Meeting 1 1 1 



temperature (20 to 30°C). Controls were run without the 
addition of DOPA. The results presented are preliminary 
findings and only indicate observed trends. In tests which 
offered only a smooth glass surface for settlement, attach- 
ment of the larvae to the glass occurred after 24 hr with but 
not without the addition of DOPA to the seawater. In tests 
to which DOPA was added the highest percentage of attach- 
ment occurred at a salinity /temperature combination of 35 
ppt/30°C. The pediveligers also attached to the glass surface 
at the following salinity/temperature combinations listed in 
order of decreasing percent response: 35 ppt/25°C, 35 ppt/ 
20°C. and 30 ppt/30°C. After 18 hr. a relatively high num- 
ber of pediveligers attached to the glass surface in the runs 
without DOPA at a salinity/temperature combination of 35 
ppt/30°C. Also at 35 ppt/30°C in the runs with DOPA a 
smaller, but significant, percentage of the pediveligers meta- 
morphosed (indicated by new shell growth) without attach- 
ing to the glass surface. This did not occur in any of the other 
runs. The oyster pediveligers were next tested for attach- 
ment to aged oyster shells in response to the addition 
of DOPA. Preliminary results indicate that there was a 
slightly greater set after 24 hr onto the shells in the tests 
with DOPA. However, exposure of the larvae to DOPA also 
promoted attachment to the glass surfaces of the culture 
dishes. The consequence was that after 48 hr, the set onto 
the shell was greater in the runs without DOPA, although 
the total percentage of larvae which undergo metamorphosis 
appeared to be the same. In the runs with DOPA a signifi- 
cant percentage of the larvae either attached to the glass 
surface or metamorphosed without attaching to any sub- 
strate. These findings suggest that DOPA will not increase 
the percentage of set onto oyster shells when the setting is 
allowed to occur over several days. Rather, these findings 
clearly suggest that the use of DOPA promotes extraneous 
setting onto otherwise unfavorable substrates. However, 
these findings do not discount the possibility that chemicals 
can be used to obtain a more rapid set. The use of chemical 
cues appeared more applicable to setting systems in which 
no preferred setting substrate is used, such as in the setting 
of clams and clutchless oysters. 

JAPANESE OYSTER DRJLL STUDIES 

FLINN CURREN 

Division of Aquaculture and Invertebrate 
Fisheries, School of Fisheries 
University of Washington 
Seattle, Washington 98195 

The Japanese oyster drill Ocenebra inomata (Recluz) is 
an economically important predator of oysters in areas along 
the west coast, as well as in its native Japan. Since its acci- 
dental introduction into Puget Sound with shipments of 



Pacific oyster seed, attempts to control this snail have 
included expensive hand picking and mercuric chloride. 
These animals aggregate during certain times of the year, and 

it is suspected that this behavior is cued by water-borne 
pheromones (chemical substances which enable communica- 
tion between animals). Pheromones are currently being used 
in the control of several insects (e.g., gypsy moth) and might 
have potential as a control technique for the Japanese oyster 
drill. It was necessary, therefore, to develop an appropriate 
bioassay to test different water extracts for pheromones. 
Bioassays consist of subjects (in this case snails), stimuli 
(water with suspected chemical agents), and responses 
(which should be easy to identify . associated with the stimuli, 
reproducible, and rapid). Bioassays should also minimize 
the water used for stimulus and control to decrease efforts 
involved in chemical extraction and concentration. Large 
numbers of snails must be assayed to give statistical credi- 
bility to sometimes subjective behavioral data. Several bio- 
assays have been based on the snail's rheotactic response (in 
a current of water, the snail moves upstream). The Pratt 
choice chamber was rejected because large volumes of water 
were needed with only one snail per run. Riffle flumes were 
rejected because turbulent flows were encountered. Cephalic 
antennal elongation (after pipetting a small amount of water 
in front of the snail) was also rejected because of ( 1 ) the 
highly subjective nature of the response (i.e., when are the 
antennas elongated?), and (2) the large time requirement of 
(10 min/subject) with the undivided attention of the 
research. The inadequacies of these bioassays led to work 
currently being done on a trough bioassay. A test chamber 
1 X 1.5 m (39 X 50 in.) was constructed with stimuli and 
controls (aged sea water) entering the flume through over- 
flowing 1-2 beakers. Several hundred snails were placed 1 m 
from the beakers and the numbers of snails climbing up the 
beakers during a 6-hr period are noted. Current research 
using this apparatus includes: (1 ) dye studies to determine 
the water depth necessary for good mixing; (2) determina- 
tion of the threshold flow rate to induce rheotaxis in oyster 
drills; (3) testing of flow rates with a known stimulus 
(oyster effluent); and (4) testing of stimuli from whole 
ground snail extracts and field-filtered effluents from aggre- 
gations. Stimuli found to be effective in these bioassays may 
eventually be used to bait traps or disrupt snail behavior to 
control Japanese oyster drills on oyster beds. 



112 Abstracts, 1982 NSA West Coast Section Meeting 



Olympia, Washington, September 10-12, 1982 



PROBLEMS ASSOCIATED WITH THE REARING AND 

SETTING OF LARVAE OF THE CALIFORNIA 

MUSSEL MYTILUS CALIFORNIANUS 

CONRAD IN A HATCHERY 

CATHERINE FALMAGNE 

Division of Aquaculture and Invertebrate 
Fisheries, School of Fisheries 
University of Washington 
Seattle, Washington 98195 

Mytilus californianus was successfully spawned and its 
larvae were reared through metamorphosis in the University 
of Washington hatchery at Manchester, WA. Although suc- 
cess in spawning and rearing may vary with the hatchery 
location and methods, data indicated the unreliability of 
induced spawning at any given time. Some effects resulting 
from different experimental combinations of temperature 
and salinity have been observed. Survival of larvae to the 
pediveliger stage at 18°C and 32 ppt was 31%. The larvae all 
settled at the lower part of the suspended seed ropes because 
they have a tendency to sink to the bottom of the tank 
throughout metamorphosis. Further, higher numbers of the 
larvae settled when the water was "conditioned" with adult 
mussels. 

A HISTOLOGICAL STUDY OF THE GASTROINTESTINAL 
TRACT OF THE TANNER CRAB CHIONOECTES 
BAIRDI RATHBUN (DECAPODA, REPTANTIA) 

JILL E. FOLLETT 

Alaska Dept. of Fish and Game 
333 Raspberry Rd. 
Anchorage, Alaska 99502 

The tanner crab Chionoecetes bairdi is a commercially 
important species in Alaska about which little is known of 
its histology. In this study of the tanner crab, the morphol- 
ogy and histology of the gastrointestinal tract is examined 
and compared to that of the blue crab Callinectes sapidus 
Rathbun. Three histological stains were used: hematoxylin 
and eosin, periodic acid-Schiff (PAS), and the Feulgen 
reaction with picro-methyl blue. The foregut, midgut, and 
hindgut were examined. The fore- and hindguts are both of 
ectodermal origin, and exhibit similar cuticular layers, epi- 
thelial cells, and tegmental glands. The endodermally derived 
midgut and caeca differ significantly from the fore- and 
hindgut both in their lack of cuticle, and in the vacuolation 
of the epithelial cell nuclei. One morphological difference 
that was noted between the tanner and blue crabs was the 
absence of aborizations in the posterior midgut caecum of 
the tanner crab. The function of this caecum may be for 
osmoregulation. Prolonged osmoregulation in brackish and 
fresh water occurs to a significant extent in the blue crab 
but not in the tanner crab because it remains in a marine 



environment. This difference in habitats may explain the 
variation in caecum structure. In most other aspects, the 
histology and morphology of C. sapidus closely resembled 
those of C. bairdi. 



THE EFFECT OF POPULATION DENSITY ON THE GROWTH 
OF THE BUTTER CLAM SAXWOMUS GIGANTUS 

THOMAS C. KLINE 

Division of Aquaculture and Invertebrate 
Fisheries, School of Fisheries 
University of Washington 
Seattle. Washington 98195 

Butter (or smooth Washington) clams, Sax idomus gigan- 
teus (Deshayes), were grown for 2 yr at 4 population densi- 
ties (96, 48, 24, and 12 clams/0.25 m 2 plots) in a Latin 
Squares arrangement at the — 0.5-m tide level (MLLW) on a 
privately owned beach approximately 1 km west of Port 
Gamble on Hood Canal in Washington State. The clams, 
dug up from within 10 m of the experimental site, and were 
individually numbered and measured in length, width, and 
thickness to the nearest 1 mm and placed into three groups, 
each containing one third of the naturally occurring popula- 
tion, depending on the clam length. The medium sized group 
ranged from 76 to 80 mm, with the small and large groups 
taking the remainder. The plots were filled by randomly 

selecting from the three groups, with one third of each plot 
represented by each of the three size groups. The clams were 
planted in 1978 during the spring tidal series closest to 
the summer soltice. They were removed, remeasured and 
replanted at a similar tide in 1979. In 1980, the clams were 
removed for the last time, during the soltice tidal series. In 
order to compare the growth differences in the 4 population 
densities, Walford plots of length at one time versus length 
at another were made. Walford plots were also made for 
width and for the product of length and width. The result- 
ing plots showed that there was an appreciable difference in 
growth between the 48 and 24 clams/plot. The 96 clams/ 
plot had the same growth slope as the 48/plot. The differ- 
ence between the 12 and 24 clams/plot was also negligible. 
The data indicated that the maximum density for best 
growth is 24 clams/0.25 m 2 (96/m 2 ). The experiment 
also demonstrated the usefulness of Walford plots to 
optimize population in a grow-out situation as used in 
shellfish aquaculture. 



Olympia. Washington, September 10-12, 1982 



Abstracts. 1982 NSA West Coast Section Meeting 1 1 3 



THE FEEDING BEHAVIOR OF THE TEREBELLID 

POLYCHAETE THELEPUS CRISPUS JOHNSON 

IN RESPONSE TO CURRENTS 

NANCY MUSGROVE 

Division of Aquaculture and Invertebrate 
Fisheries, School of Fisheries, 
University of Washington 
Seattle, Washington 98195 

The role of currents in determining the feeding behavior 
of Thelepus crispus was investigated as part of a large-scale 
research project on the response of bottom-dwelling com- 
munities to organic enrichment and pollution. Live worms 
were collected from the intertidal beach at Garrison Bay on 
San Juan Island, WA. They were placed in natural sediments, 
in specially designed flow tanks at the Seattle Aquarium and 
at the University of Washington Friday Harbor Labs. After 
the worms reconstructed their tubes, the feeding behaviors 
were observed under three different current velocities ranging 
from 1 to 8 cm/sec. Particle settlement experiments were 
also conducted at the three velocities to determine if flow 
affected the settlement of food around the feeding worms. 
To clarify any morphological limitations which might affect 
the choice of food or feeding method in Thelepus, the 
tentacles of preserved specimens were examined under a 
scanning electron microscope. To corroborate findings in 
laboratory experiments, field observations and How measure- 
ments were made using SCUBA gear at Garrison Bay, WA. 
When Thelepus is exposed to different current velocities it 
orients its feeding tentacles in response to the direction of 
flow and the areas of maximum particle settlements. At 
speeds < 2 cm/sec, particle settlement is relatively even 
around the worm mounds and Thelepus spreads it tentacles 
in all directions on the sediment as well as in the water 
column. It is under this type of flow condition that Thelepus 
is abundant in the field. Suspension feeding may play an 
important role in food gathering for Thelepus. At higher 
current speeds (4 to 8 cm/sec) particle settlement becomes 
differentiated between upstream and downstream areas 
around the worm. The upstream face of the mound has 
relatively few particles settling out. The downstream face 
and area immediately behind the worm mound has greater 
amounts of particles settling out. The placement of tentacles 
mirrors the settlement patterns of particles. The strength of 
the current is an important consideration as to how Thelepus 
feeds and where it gathers its food. 

VERTICAL MIGRATION OF GONYAULAX CATENELLA: 
POTENTIAL IMPLICATIONS FOR MANAGEMENT OF 
PARALYTIC SHELLFISH POISONING (PSP) PROBLEMS 

LOUISA NISHITANI AND 
KENNETH CHEW 

School of Fisheries 
University of Washington 
Seattle. Washington 98195 

The diel vertical migration pattern of the dinoflagellate 

Gonyaulax catenella Whedon et Kofoid which produces 



paralytic shellfish poisons, may have important implications 
for management decisions by industry, public health agen- 
cies, and research groups. This migration pattern influences 
the length of time shellfish at different tide heights or 
depths below rafts are exposed to G. catenella. The exposure 
should be considered by health agencies, along with tide 
height or depth, when planning routine sampling and by the 
shellfish industry when selecting bivalve species to plant or 
dredging depths. Because the vertical migration pattern is 
greatly affected by the degree of stratification of the water 
a predictive model which involves field studies of the effects 
of changes in density gradients on density of G. catenella 
should be developed. The vertical migration pattern appears 
to be extremely important in the development of large 
populations of G. catenella in certain sheltered bays, from 
which significant numbers of G. catenella may then be 
exported to waters outside the bay. An understanding of 
the functioning of such bays may be useful in determining 
timing and sites for monitoring and in selection of sites for 
controlling G. catenella with the parasite, Amoebophrya 
(if laboratory tests indicate such control would be safe, 
desirable, and feasible). 

ABALONE AND SCALLOP CULTURE IN PUGET SOUND 

SCHARLEEN OLSEN 

Washington Department of Fisheries, 
Point Whitney Shellfish Laboratory, 
Brinnon, Washington 98320 

Three new species were cultured at Point Whitney Shell- 
fish Laboratory during 1979-82; the native pinto (or 
threaded) abalone Haliotis kamtschatkana Jonas, the red 
abalone Haliotis rufescens Swainson, and the purple hinge 
(or giant) rock scallop Hinnites multirugosus (Gale). A pilot 
hatchery system was developed and various culture condi- 
tions, methods, and temperatures were investigated. Growth 
of the pinto abalone was followed over a period of 3 yr in 
the hatchery. Comparisons of growth and survival rates 
between juvenile pinto and red abalone were investigated 
over a one-year period. The pinto growth rate was affected 

by the type of culture container used and by the presence or 
absence of light. At one year of age, pinto abalone shells 

averaged 20 mm. At two years, mean shell length was 37 mm, 
and the oldest year-class averaged 59 mm at three years of 
age. Various scallop culture methods, feeding densities and 
container configurations affected the scallop growth rates. 
Salinity tolerance was studied and salinities < 23 ppt were 
detrimental to normal growth and survival. Field plantings at 
Lopez Island, Port Blakley, Willapa Bay, Manchester. Belling- 
ham Bay, and Point Whitney were studied for growth and 
survival of juvenile rock scallops. Growth rates of 4.2 mm/mo 
were achieved at some locations. 



1 14 Abstracts, 1 982 NSA West Coast Section Meeting 



Olympia, Washington, September 10-12, 1982 



PSP: ITS HISTORY, PROCESSES AND IMPACTS 
AS APPLICABLE TO PUGET SOUND 

TIMOTHY SAMPLE 

METRO, Water Quality Division 

Seattle, Washington 98104 

This report provides a synopsis of available information 
concerning the history, processes, and impacts associated 
with paralytic shellfish poisoning (PSP) in Puget Sound. 
Paralytic shellfish poisoning is a form of food poisoning in 
which extremely lethal toxins, produced by certain dino- 
flagellates, are accumulated in shellfish and passed on to 
humans. Outbreaks of PSP appear to be spreading to previ- 
ously unaffected areas. They are increasing in intensity 
worldwide as well as within the Puget Sound basin. This 
report includes a review of these trends and of the current 
toxicity monitoring program established in the state of 
Washington to protect the public from PSP. Attention is 
also given to what causes toxic dinoflagellate blooms, partic- 
ularly dinoflagellate cysts, and contributing environmental 
factors (i.e.. temperature, precipitation, and nutrients). 
Apparently, numerous environmental factors may influence 
development of a bloom from newly emergent germlings. 
In addition, the introduction of certain organic compounds, 
called chelators, to coastal waters may create an environ- 
ment favoring growth of the dinoflagellate population by 
controlling the availability of certain growth-regulating trace 
metals. A discussion of the nature of dinoflagellate toxins 
and their possible effects on man and other organisms is 
included. The recent discovery that dinoflagellate toxins 
may be lethal to organisms other than man has serious impli- 
cations: for example, consumption of toxic shellfish may 
prove fatal to certain species of birds. Additionally, recent 
investigations indicate that lethal levels of dinoflagellate 
toxins can be accumulated, retained, and passed up the 
food chain by herbivorous zooplankton that feed on toxic 
dinoflagellates. 



COMMERCIAL MARICULTURE OF A BAY SCALLOP 

ARGOPECTEN CIRCULARIS (SOWERBY) IN THE 

ENSENADA OF LA PAZ, BAJA CALIFORNIA 

SUR, MEXICO 

A. KIMBROUGH SIEWERS 

Cultivos Marinos de Baja California 
S. A. de C. V. RioNazas 163-401 
Mexico 5, D. F. (and) 
Pigeon Point Aquaculture Center 
921 Pigeon Point Road 
Pescadero, California 94060 



Mexico's first private shellfish aquaculture company was 
formed in La Paz, BCS. A local bay scallop, the Pacific calico 
scallop Argopecten circularis, is grown in lantern nets 



suspended from long lines. Scallop spat are collected by 
putting sticks of plastic mesh in nylon "onion bags" which 
are tied five to a weighted line and hung from long lines. 
Collectors are set out in the spring and the seed scallops are 
removed 2 to 5 mo later. Significant numbers of scallop 
spat also regularly set on the lantern nets. Seed scallops are 
grown in pearl nets during the nursery phase of culture, then 
grown to market size in lantern nets. Fouling is removed 
from the nets by a saltwater spray from a gasoline-powered 
water pump. Scallops are stocked at a density of 25/0.1 m 2 
(50 per level) for the final growth stage. Market size (5 to 
6 cm) is reached in 5 to 7 mo. Four metric tons of scallops 
were marketed in Mexico City in the first year of production. 
A pufferfish, Spheroides annulatus (Jenyns), preyed on 
cultured scallops by chewing open the bottom compartments 
of some lantern nets. This was alleviated by shortening the 
lantern nets by 3 levels. A hatchery was constructed, and in 
the first experiment scallops were conditioned, spawned, 
and the larvae reared to juvenile stage. Improvements in the 
grow out system should include using 5-level lantern nets 
in 2 mesh sizes (12 and 21 mm), and submerging the long 
lines by 0.5 m. An annual production of 10 tons appears 
necessary for profitability, with 20 to 30 tons possibly 
optimum. 



PSP RESEARCH: RECENT ADVANCES IN 

ANALYTICAL AND BIOCHEMICAL 

STUDIES 

JOHN J. SULLIVAN AND 
WAYNE T. IWAOKA 

Institute for Food Science and 

Technology 
School of Fisheries 
University of Washington 
Seattle, Washington 98195 

Paralytic shellfish poison (PSP), or "Red Tide," is a 
persistent problem in the northern coastal areas of the 
United States and monitoring of shellfish is accomplished 
via mouse bioassays. We have developed an alternate analyti- 
cal technique for measuring the toxins using high pressure 
liquid chromatography. Comparison of both techniques 
showed high correlation when toxin content in shellfish 
samples contained about 60 /ig toxin per 100 g meat. The 
mean variation was 25% when higher amounts of toxin 
were present. Variation in the mouse bioassay is ± 20%. 
Preliminary and proposed work will be reported on the 
biochemical aspects of uptake, storage, and release of the 
PSP toxins in shellfish. 



Olympia, Washington, September 10-12, 1982 



Abstracts, 1982 NSA West Coast Section Meeting 



115 



DISASTER AHEAD FOR THE YAQUINA 
BAY OYSTER INDUSTRY? 

LOUIS WACHSMUTH 

Oregon Oyster Company 
208 SW Ankeny Street 
Portland, Oregon 9 7204 



After 115 years of fishing and farming, the future of 
Yaquina Bay is as uncertain and bleak as ever, with one 
exception. The history of this bay, located in Newport, OR, 
parallels histories of other west coast growing areas. The 
oyster schooners from San Francisco, the old-time oyster 
tongers, the replacement of the native Pacific oyster Ostrea 
lurida Carpenter by the giant Pacific oyster Crassostrea gigas 
(Thurnberg), the wood products pollution, the local town's 
sewage, the infamous tidal wave, and the massive siltation 
problem are all elements and events of the past 1 15 years. 
The current crisis seems to be of major proportions and 
threatens the future of oyster farming. Generally speaking, 
oysters are no longer growing to full potential. Kumamoto 
oysters (variants of C. gigas), which were grown on the 



bottom 15 years ago, now grow only from rafts. Giant 
Pacific oysters, as of 8 years ago, became stunted after 
the second year of growth, only putting on thick layers 
of blistered shells that were filled with a foul-smelling 
exudate. They seldom reached "medium" size even after 
6 years. Perhaps related to this is the fact that several other 
forms of sea life have almost disappeared from our area 
over the past 30 years. The source of this problem is 
unknown, but could be related to the destruction of the 
ocean food chain over the years. The stunting problem also 
has been observed in other locations on the west coast. The 
only ray of hope for this company is to repeat the great 
switch of the 1920's. That is, change species of oysters once 
again. The Japanese oyster, Crassostrea ariakensis (Wakiya) 
(= Ostrea/ Crassostrea rivularis), seems to be the answer. 
After experimenting for five years, we discovered these 
advantages: (1) 50% faster growth than C. gigas, thereby 
shortening the growth cycle by one year; (2) good flavor; 
(3 ) absence of the stunting and blistering problem ; (4 ) larger 
maximum size than C. gigas; (5) higher spawning tempera- 
tures resulting in a firm and tasty meat during August and 
September; and (6) uniform shell shape and attractive 
interior shell surface. 



INFORMATION FOR CONTRIBUTORS TO THE 
JOURNAL OF SHELLFISH RESEARCH 



Original papers dealing with all aspects of shellfish 
research will be considered for publication. Manuscripts 
will be judged by the editors or other competent reviewers, 
or both, on the basis of originality, content, merit, clarity 
of presentation, and interpretations. Each paper should be 
carefully prepared in the style followed in Volume 3, 
Number 1, of the Journal of Shellfish Research (1983) 
before submission to the Editor. Papers published or to 
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JOURNAL OF SHELLFISH RESEARCH 

Vol. 3, No. 1 June 1983 

CONTENTS 

Brian F. Beat 

Predation of Juveniles of the Hard Clam Mercenaria mercenaira (Linne) by 

the Snapping Shrimp A Ipheus heterochaelis Say and A Iphens normanni Kingsley 1 

Rodney Dal ton and Winston Menzel 

Seasonal Gonadal Development of Young Laboratory-Spawned Southern 

(Mercenaria campeehiemis) and Northern (Mercenaria mercenaria) Quahogs 

and their Reciprocal Hybrids in Northwest Florida . : 11 

Paul J. Flagg and Robert E. Malouf 

Experimental Plantings of Juveniles of the Hard Clam Mercenaria mercenaria (Linne) 

in the Waters of Long Island, New York 19 

/ D. Andrews 

Transport of Bivalve Larvae in James River, Virginia 29 

Catherine Enright, Donna Krailo, Larry Staples, Maria Smith, Carl I aughan, Debra Ward, 
Pamela Gaul, and Elisabeth Borgese 

Biological Control of Fouling Algae in Oyster Aquaculture 41 

Mary L. Swift and Mohammed Ahmed 

A Study of Glucose, Lowry-Positive Substances, and Triacylglycerol 

Levels in the Hemolymph of Crassostrea virginica (Gmelin) 45 

Edward R. Urban, Jr., Gary D. Pruder and Christopher J. Langdon 

Effect of Ration on Growth and Growth Efficiency of Juveniles of 

Crassostrea virginica (Gmelin) 51 

Aurora Ledo, Enrique Gonzalez, Juan L. Barja and Alicia E. Toranzo 

Effect of Depuration Systems on the Reduction of Bacteriological Indicators 

in Cultured Mussels (Mytilus editlis Linnaeus) 59 

C. B. Calloway and R. D. Turner 

Documentation and Implications of Rapid Successive Gametogenic Cycles and 

Broods in the Shipworm Lyrodus floridanus (Bartsch) (Bivalvia. Teredinidae) 65 

RESEARCH NOTE 

C. F. Phleger and S. C Cary 

Settlement of Spat of the Purple-Hinge Rock Scallop Hinnites multirugosus (Gale) 

on Artificial Collectors 71 

Abstracts of Technical Papers Presented at the 1982 Annual Meeting National Shellfisheries 

Association, Baltimore, Maryland - June 14-17, 1982 75 

Abstracts of Technical Papers Presented at the 1982 Annual Meeting National Shellfisheries 

Association, West Coast Section, Olympia, Washington - September 10- 1 2, 1982 105 

COVER PHOTOMICROGRAPH: Female specimen of Alpheus heterochaelis Say (Decapoda; Alpheidae) 
collected 26 June 1982 from an oyster reef near Beaufort, North Carolina, USA (scale bar = 5 mm). Photo- 
graphed with 4 X 5-inch Graphic (Graflex) camera and Xenar lens (# 1 : 4.7/1.35) using Kodak Tech Pan 
2415 film and processed in HC 110, F-dilution. (Exposure = 5 sec at f 45.) [Photograph provided by Henry E. 
Page, University of North Carolina, Institute of Marine Science, Morehead City, North Carolina./ 



JOURNAL OF SHELLFISH RESEARCH 



VOLUME 3, NUMBER 2 



DECEMBER 1983 




moratory 

LIBRARY 
AUG 26 1985 



5 Hoie, Mass. 



The JOURNAL OF SHELLFISH RESEARCH (formerly Proceedings of the 

National Shellfisheries Association) is the official publication of the 

National Shellfisheries Association 



Editor-in-Chief 

Dr. Roger Mann 

College of William and Mary 

Virginia Institute of Marine Science 

Gloucester Point, Virginia 23062 



Managing Editor 

Dr. Edwin W. Cake, Jr. 
Gulf Coast Research Laboratory 
Ocean Springs, Mississippi 39564 



National Shellfisheries Association 
Publications Committee 



Prof. Melbourne R. Carriker 
College of Marine Studies 
University of Delaware 
Lewes, Delaware 19958 

Dr. Rober E. Hillman 

Battelle 

New England Marine 

Research Laboratory 
Duxbury, Massachusetts 02332 



Mr. Michael Castagna 
College of William and Mary 
Virginia Institute of Marine Science 
Eastern Shore Laboratory 
Wachapreague, Virginia 23480 

Dr. Richard A. Lutz 

Department of Oyster Culture 

New Jersey Agricultural Experimental Station 

Cook College, Rutgers University 

New Brunswick, New Jersey 08903 



Journal of Shellfish Research 

Volume 3, Number 2 
ISSN: 00775711 
December 1983 



Journal of Shellfish Research, Vol. 3, No. 2, 117-128, 1983. 



SYMBIOTIC ASSOCIATIONS INVOLVING THE SOUTHERN OYSTER DRILL 

THAIS HAEMASTOMA FLORIDANA (CONRAD) AND '" ^ f,> - 

LIBRARY 



MACROCRUSTACEANS IN MISSISSIPPI WATERS, 



EDWIN W. CAKE, JR. 

Oyster Biology Section 

Gulf Coast Research Laboratory 

Ocean Springs, Mississippi 39564 



AUG 26 1985 
.Woods Ho/* ka»* 



ABSTRACT The symbiotic relationships between the southern oyster drill Thais haemastoma floridana (Conrad) and 
two species of crabs, the blue crab Callineetes sapidus Rathbun and the striped hermit crab Clibanarius vittatus (Bosc), 
were investigated in Mississippi. The crabs provided passive transport and food (attached fouling organisms) for the attached 
drills; 99 blue crabs_ carried 203 drills (X= 2.0 ± 2.1 drills crab , range = l-17;mode = 1, N = 55 crabs); 233 hermit crabs 
carried 299 drills (X= 1.3 ± 0.8 drills crab" 1 , range =1-6; mode = 1, N = 194 crabs). Drills attached to blue crabs were 
twice the mean height and six times the mean weight of those attached to hermit crabs (36.8 mm and 8.9 g versus 18.5 mm 
and 1.4 g. respectively). During one survey period 30 of 423 blue crabs (7.19"c) and 97 of 1,360 hermit crabs (7.17r) carried 
drills. The oyster drill/blue crab symbiosis persisted while spawning female crabs congregated around Mississippi's offshore 
barrier islands during the early fall of 1980 and ceased when the crabs died or migrated to deeper water during late fall. 
The oyster drill/hermit crab symbiosis was continuous. Drills attached while the crabs were buried at the seawater/ substrate 
interface, resting under peat outcroppings, or while scavenging among grass roots and jetsam. Once mounted, the drills 
were not readily dislodged by movement of the crabs. In the laboratory drills more readily mounted hermit crabs with 
attached drills and/or acorn barnacles than hermit crabs without these organisms. A typical mounting took only seconds to 
complete; drills readily attached to moving hermit crabs. Drills dismounted from hermit crab shells when in the immediate 
vicinity of live oysters. The drills preyed on acorn barnacles (Chelonihia patula [Ranzani] , Balanus spp.), oysters (Crasso- 
strea virginica [Gmelin] , Ostrea equestris Say), and slipper shells (Crepidula spp.) that fouled the blue crab carapaces and 
hermit crab shells. Two other gastropods (Cantharus cancellarius [Conrad] and Odostomia impressa [Say] ) were occasion- 
ally attached to blue and hermit crabs that carried oyster drills. 

KEY WORDS Blue crab, commensalism. macrocrustaceans. oyster drill, phoresis, striped hermit crab, symbiosis 



INTRODUCTION 

The southern oyster drill Thais haemastoma floridana 
(Conrad) (Gastropoda; Muricidae) is the most destructive 
predator of the American oyster Crassostrea virginica 
(Gmelin) in coastal Gulf of Mexico waters from Florida to 
Texas (Burkenroad 1931; St. Amant 1938; Butler 1953, 
1954;Gunter 1953, 1979; McConnell 1953;Chapman 1955, 
1958;Menzel and Hopkins 1955; Menzel et al. 1957, 1966; 
Hofstetter 1959; May and Bland 1970; May 1971 ; Pollard 
1973; Breithaupt and Dugas 1979). Mortalities of oysters 
from drills can be as high as 50% a year (St. Amant 1938). 
Drills prefer water salinities that usually exceed 18 to 20 ppt 
(St. Amant 1938, Gunter 1979), and thus oyster reefs 
located near open Gulf waters are subjected to drill preda- 
tion during periods of drought or reduced freshwater inputs 
(from extended closures of water impoundments). Offshore, 
high salinity areas serve as reservoirs for drills; when inshore 
salinities increase, the drills invade nearshore reefs as 
planktonic veliger larvae. The larvae spend about a month 
in the plankton and are widely dispersed (Butler 1953). 
After metamorphosis, juvenile drills grow rapidly and can 
grow an average of 28 mm a year (range = 20 to 42 mm) 
(Butler 1953). 

During the fall of 1980 I observed southern oyster drills 
attached to many blue crabs (Callineetes sapidus Rathbun) 
and gastropod shells occupied by striped hermit crabs 



(Clibanarius vittatus [Bosc] ) in shallow waters around 
Mississippi's barrier islands. The drills were being passively 
transported by the crabs. St. Amant (1938) and Fothering- 
ham (1976) reported this symbiotic relationship, but not to 
the extent that 1 observed along Horn and Ship islands. 
St. Amant found four and five drills attached to two blue 
crabs in the vicinity of Grand Island, LA. He also noted 
that drills occurred on flotsam . Fotheringham found juvenile 
drills on 1 .7% of all gastropod shells (> 20 g) that were 
occupied by C. vittatus along the Texas coast. Mark Chatry 
(Louisiana Dept. Wildl. Fish., St. Amant Marine Laboratory, 
Grand Isle, LA. pers. comm.) found drills on blue and striped 
hermit crabs in lower Barataria Bay, LA, in the vicinity of 
Grand Isle during 1980 and 1981. The late Capt. L. J. 
Gorenflo of Biloxi. MS, photographed two blue crabs with 
two and four drills attached, respectively, that were trawled 
from Biloxi Bay channel in Mississippi Sound in 1953 
(photograph provided by W. J. Demoran. Gulf Coast Research 
Laboratory, Ocean Springs. MS). Capt. Gorenflo noted on 
the photograph that most of the crabs were alive, but 
some were weak and dead. His photograph is the only 
evidence that this drill/crab symbiosis occurred previously 
in Mississippi waters. 

Other muricid oyster drills participate in similar drill/ 
crab symbioses along the Atlantic coast (Table 1). Federighi 
(1931) reported that the Atlantic oyster drill Urosalpinx 



117 



118 



Cake 



cinerea Say utilized hermit crabs as a means of transport 
in lower Chesapeake Bay. Harold Haskin reported (in 
Carriker 1955) that on two occasions in Delaware Bay he 
found five previously marked drills (U. cinerea) on shells 
of the Atlantic moon snail Polinices duplicatus Say that 
were inhabited by the flat-clawed hermit crab Pagimts 
pollicaris Say. Some of the drills were attached to shells of 
hermit crabs that were no larger than their own shells. One 
marked drill attached to and was transported 3.5 in by a large 
hermit crab within 15 minutes of release. Haskin suggested 
that hermit crabs may play an important role in the distribu- 
tion of oyster drills. MacKenzie (1962) reported that large 
numbers of the thick-lipped oyster drill Eupleura caudata 
(Say) and lesser numbers of U. cinerea were transported on 
the carapaces of most horseshoe crabs (Limulus polyphemus 
[Linnaeus] ) that he dredged from Long Island Sound. One 
crab carried 761 thick-lipped and 4 Atlantic oyster drills. He 
described their symbiotic association as phoresy. (Cheng 
[1973] defined phorsey as a nonparasitic association in 
which the smaller species, the phoront, is mechanically 
carried on or in the larger species, the host, and no metabolic 
interaction or dependency occurs.) Richards Nelson (in 
Carriker 1955) reported as many as 140 Atlantic oyster drills 
per horseshoe crab in New Haven Harbor, CT. Fred Sieling 
(Maryland Dept. Nat. Resour., Annapolis. MD, pers.comm.) 



and Michael Castagna (Virginia Inst. Mar. Sci., Wachapreague. 
VA, pers.comm .(reported that they hadoccasionallyobserved 
blue crabs transporting one or two thick-lipped drills in 
lower Chincoteague Bay, VA, in the mid-1 950's. Federighi 
(1931) suggested that oyster drills obtained food from 
fouling organisms attached to the hermit crabs. Others 
(St. Amant 1938, MacKenzie 1962) found no evidence of 
drilling on the transport crab. Although several of these 
authors alluded to a symbiotic association of macrocrusta- 
ceans and muricid oyster drills, none attempted to docu- 
ment or quantify the extent of those associations. 

This paper describes the nature and extent of the drill/ 
crab symbioses that existed along Mississippi's barrier islands 
during the fall of 1980. It examines the factors that initiate 
and control these symbioses which appear to have character- 
istics of commensalism and phoresis. Hereinafter, 1 shall 
refer to the crabs as hosts and to the drills as symbionts. 
Occassionally, I shall utilize the terms "infestation" and 
"drill-infested" when presenting and discussing occurrence 
data and when describing the existence of drills on the 
shells of hosts. The use of these terms is not intended to 
infer any parasitic relationship; they are simply utilized in 
the absence of more appropriate terms. The crustacean and 
molluscan taxonomies utilized herein follow those of 
Williams (1965) and Abbott (1974), respectively. 



TABLE 1. 

A synoptic review of oyster drill/crab symbioses along the Atlantic and Gulf coasts of the United States. 



Oyster Drill Species 

Tliais haemastoma haysae 
T. haemastoma 

T. haemastoma 

T. haemastoma 

T. haemastoma floridana 

Eupleura caudata 

E. caudata 
Urosalpinx cinerea 
U. cinerea 

U. cinerea 
U. cinerea 

Calotrophon ostrearum 



Crab Species 

Callinectes sapidus 
C. sapidus 

C. sapidus 
Clibanarius vittatus 
C. vittatus 
C. sapidus 
C. vittatus 2 
Limulus polyphemus 
C. sapidus 



L. polyphemus 
L. polyphemus 
L. polyphemus 

"Hermit crabs" 
Pagurus pollicaris 

Pagurus impressus 



Locality 

Grand Isle. LA 

Mississippi Sound. Ocean Springs, MS 

Lower Barataiia Bay. LA 

Texas coast 

Horn and East Ship islands, MS 

Lower Chincoteague Bay, VA (1956) 



Long Island Sound, NY 
Long Island Sound, NY 
New Haven Harbor, CT 

Lower Chesapeake Bay, VA 
Delaware Bay, DE 



Reference 



St. Joseph Bay, FL 



St. Amant 1938 

(L. J. Gorenflo, 1953 

photograph) 

Mark Chatry, LA DW&F, 

pers. comm. 1981 

Fotheringham 1976 

(Present study) 



Fred Sieling (MD DNR), 
Mike Castagna (VIMS), 
pers. comm. 1981 
MacKenzie 1962 
MacKenzie 1962 
Richards Nelson (in 
Carriker 1955) 
Federighi 1931 
Harold Haskin (in 
Carriker 1955) 
(E. W. Cake 1981, field 
observation) 



Identified as Tliais floridana haysae. 
"Occupying the following gastropod shells: Busy con contrarium 
alatus. and Tliais haemastoma floridana. 
Occupying the shells of P. duplicatus. 
Occupying the shells of 5. alatus. 



B. spiratum plagosum. Murex fulvescens. Polinices duplicatus, Stromhus 



Southern Oyster Drills Infest Macrocrustaceans 



119 



materials and methods 

Blue crabs and striped hermit crabs with attached oyster 
drills were collected at four stations on Horn and Ship 
islands; those islands form the southern boundary of 
Mississippi Sound (Figure 1). The crabs were collected in 
shallow water (< 1 m) with dip nets or crab tongs. On 
several occasions, all crabs encountered were collected to 
determine the incidence of infestation. Field observations 
were made on the behavior of the crabs and drills in their 
shared habitats. The drills and potential prey items on the 
crabs' shells (e.g.. acorn barnacles, oysters, and slipper shells) 
were examined for evidence of predation. Infested crabs 
and their attached drills were placed in individual plastic- 
bags and transported alive in coolers to the Gulf Coast 
Research Laboratory. Ocean Springs. MS. where they were 
measured and weighed, and the numbers of drills, barnacles, 
oysters, and slipper shells per crab (shell) were determined. 

In the laboratory, studies of the oyster drill/hermit crab 
symbiosis were conducted in 70- to 95-C all glass aquaria 
using sand, seawater, and animals from Horn Island. The 
experimental crabs occupied the shells of the lightning whelk 
Busy con contrarium Conrad, the pear whelk B. spiratum 
plagosum (Conrad), the southern oyster drill T. h. floridana, 
and the Atlantic moon snail Polinices duplicates (Say), and 
each was initially infested with acorn barnacles (Balanus spp.) 



Each trial utilized 5 to 8 crabs. 40 to 50 drills (height 
range. 15 to 75 mm), and lasted 2.0 to 3.5 hours. Various 
combinations of crabs (with and without attached barnacles), 
substrates (sand and oyster shells), oysters (live and empty 
shells), and in-tank locations of same were utilized during 
the experiments. Observations were made on the behavior 
of the drills in relation to the crabs and oysters. 

RESULTS 

Description of Habitat 

Independent drills and crabs and infested crabs shared 
habitats in the inlets to Horn Island lagoons and in adjacent 
shallow waters of Mississippi Sound (Figure 1). Those 
habitats consisted of ( 1 ) exposed roots of salt-marsh grasses; 
(2) submerged grassbeds and root-debris mats; (3) shallow 
depressions in sandflats and under solid jetsam (e.g., boards 
and timbers); (4) crevices in and ledges under peat out- 
croppings; (5) small clumps of oysters; and (6) large groups 
of oysters attached to submerged structures (e.g., wrecked 
vessel debris, tree stumps, etc.). The drills and crabs fre- 
quently made contact in those habitats, especially when 
the drills crawled across partially buried blue crabs or 
quiescent hermit crabs. Drills, crabs, and infested crabs 
were also trawled-up together from Dog Keys Pass at the 
west end of Horn Island ( Figure 1 ). 





MISSISSIPPI SOUND 



V 



&&M ^ 




5 km 

i I i I i_) 




89°45' GULF OF MEXICO 



Figure 1. Location of stations where drill-infested blue crabs and striped hermit crabs were collected. 



120 



Cake 



Mean water salinities and temperatures in the study area 
were 28.4 ppt (24.0 to 30.5 ppt) and 26.TC (20.0 to 28.0°C), 
respectively, when drill-infested blue crabs were collected 
(October 1980), and 21.5 ppt (20.0 to 30.5 ppt) and 19.4°C 
(18.5 to 27.0°C), respectively, when drill-infested hermit 
crabs were collected (October and November 1980). 
Because of visibility and collecting device limitations, all 
collections were made at depths of 1 m or less. The pre- 
dominant substrate was well sorted and rounded quartz 
beach sand, except in the lagoon inlets and along parts of 
island shorelines where relict peat outcroppings existed. 

Oyster Drill/Blue Crab Symbiosis 

Ninety-nine infested blue crabs (98 9, 1 6) were collected 
from four stations on Horn and East Ship islands on 2, 7, 9, 
and 14 October 1980. All crabs were adults, while the 
majority of the drills were juveniles. Mean sizes and weights 
of the crabs and drills are given in Table 2. The crabs 
carried a total of 203 drills (X = 2.0 ± 2.1 drills crab" 1 , 
range = 1-17) (Figure 2); the drills were attached to the 
carapace (200), the chelae (2), and the abdomen (1). The 
drill infestation mode was 1 drill crab -1 (N = 55 crabs; 
55.5% of total); 22 crabs (22.2%) carried 2 drills apiece; 
14 (14.1%) carried 3 drills apiece; 2 crabs each (2.2%) 
carried 5, 6, and 7 drills apiece, respectively; and 1 crab 
each (1.1%) carried 9 and 17 drills apiece, respectively 
(Figure 2). No drill-infested blue crabs were observed 
during three surveys in November (1.2, and 3 November 
1980) and none was seen during numerous surveys during 
the summer and fall of 1981. 

On four occasions at two stations on Horn Island (Stn. 
1.2 and 1.3, Figure 1) all blue crabs encountered were 
collected. Seven percent (30 of 432) of the crabs carried 
a total of 44 drills (Table 3). 

Results of regression analyses of the drill infestation and 
drill/crab meristic data are presented in Table 4. Only a 
weak correlation existed between the number of attached 
drills and the three crab meristics tested (carapace width, 
weight, and the cross product of the width and weight). 
In general, however, the larger the crab the larger the 
number of attached drills. 

Other Symbionts on Drill-Infested Blue Crabs 

The most abundant epizoan on the drill-infested blue 
crabs was the symbiotic acorn barnacle Chelonibia patula 
(Ranzani) (see Overstreet 1978, 1982). Each crab carried a 
mean of 81.8 ± 33.8 (12 to 287) live barnacles on its entire 
exoskeleton and 35.2 ± 23.7 (2 to 122) live barnacles on 
its carapace. The numbers of live barnacles on the entire 
crab and also on the carapace alone were negatively corre- 
lated with the number of attached drills (Table 4). Thus, 
the larger the number of barnacles, the smaller the number 
of attached drills (i.e.. barnacles reduce the space available 
for attaching drills). Crabs with light barnacle infestations 
carried 1.4 and 1.7 times as many drills as those with 



moderate and heavy infestations, respectively; and crabs 
with moderate barnacle infestations carried 1 .2 times as 
many drills as those with heavy infestations (Table 5). 
Thirteen (13.1%) of 99 drill-infested blue crabs had recently 
dead (empty) barnacles (C. patula) on the carapace or 
abdomen (X = 30 barnacles crab" 1 , range = 1 to 8, N = 
39 barnacles). Two oyster drills were observed feeding on 
barnacles attached to two crabs during the study, but the 
barnacles did not appear to be an important food source for 
the drills in general; only 39 of 8,099 (0.5%) barnacles on 
the 99 drill-infested crabs were dead (empty). 

Two (2.2%) of the 99 drill-infested crabs also carried one 
specimen each of the buccinid gastropod Cantharus 
cancellarius (Conrad), a common omnivore of mud/sand 
bottoms in high salinity areas of Mississippi Sound. (Five 

TABLE 2. 

Summary of data from crabs that were infested with oyster drills 
at four stations on Horn and East Ship islands, Mississippi. 







Striped 


Category 


Blue Crabs 


Hermit Crabs 


Number drill-infested crabs 


99 


233 


Total number drills 


203 


299 


Mean number drills 






crab" 


2.0+2.1 


1.3 ±0.8 


(Range) 


(1-17) 


(1-6) 


Infestation mode 






(drill crab ) 


1 (N = 55) 


1 (N= 194) 


Percent infested 


7.10% 


7.13% 


Mean size of crab 


152 ±13 mm 


82 ±32 mm 


(Range) 


(117- 183mm) 


(23- 159 mm) 


Mean weight of crab 


152±38g 


49.2 ±27.5g 


(Range) 


(71- 269 g) 


(3.2- 120 g) 


Mean height of drill 


36.8 ±11.5 mm 


18.5 ±7.6 mm 


(Range) 


(3.0- 73.8 mm) 


(4.2-47.3 mm) 


Mean weight of drill 


8.9 ±9.1 g 


1.4 ± 1.9 g 


(Range) 


(0.1- 53.6 g) 


(0.1- 14.1 g) 


Number barnacle- 






infested crabs 


99 


103 


Total number live 






barnacles 


8.099 


896 


Mean number 






barnacles crab 


81.8 ±33.8 


8.7 ±18.8 


(Range) 


(12-287) 


(0- 120) 


Number Crepidula- 






infested crabs 


14 


106 


Total number Crepidula 


14 


603 


Mean number 






Crepidula crab 


1.0 


5.7 ±5.7 


(Range) 


(1) 


(0-26) 



^ata from crab subpopulations (see Table 3). 

2 Blue crab (carapace width); hermit crab (gastropod shell height). 

3 Blue crab plus fouling organisms; hermit crab plus gastropod shell 

plus fouling organisms. 
4 Chelonibia patula (on blue crabs); Balanus spp. (on hermit crabs). 



Southern Oyster Drills Infest Macrocrustaceans 



121 




Figure 2. Female blue crab (Callinectes sapidus) with 16 southern oyster drills (Thais haemastoma floridana) on carapace and 1 (not 
visible) on chela. Crab width (carapace) and weight: 150mm and 15 1 g, respectively. Mean drill height and weight, (ranges): 31.8 mm 
(12.8 - 40.3) and 4.8 g (0.3 - 8.4). respectively. Total weight of all drills: 81.6 g. Infested crab was captured at the west end of 
Horn Island, MS, (Stn. 1.1) on 2 October 1980. 



TABLE 3. 

Incidence of oyster-drill infestation on crabs collected at four 
stations on Horn and East Ship islands, Mississippi. 



Category 


Blue Crabs 1 


Striped Hermit Crabs 2 


Total number crabs 


423 


1,360 


Number infested crabs 


30 


97 


Percent infested 


7.10% 


7.13% 


Number drills 


44 


119 


Mean number drills 






on infested crabs 


1.47 


1.23 


Mean number drills 






on all crabs 


0.10 


0.09 



'Combined data: Chimney Lagoon, Stn. 1.2 (7 & 14 October 1980) 
and Ranger Lagoon, Stn. 1.3 (9 & 14 October 1980). 
Combined data: Chimney Lagoon. Stn. 1.2 (3 November 1980) 
and Ranger Lagoon. Stn. 1.3 (2 & 3 November 1980). 



other blue crabs in addition to the 99 drill-infested crabs 
were infested with specimens of C. cancelhrius only.) 
Fourteen (1 4.1%) and three (3.3%) of the 99 drill-infestedcrabs 
were also infested with single slipper shells (Crepidula spp.) 
and pyram shells (OJostomia impressa [Say] ), respectively. 



Oyster Drill/Hermit Crab Symbiosis 

Two hundred thirty-three drill-infested striped hermit 
crabs were collected at four stations on Horn and East Ship 
islands on 2, 7. 9, and 14 October and 1, 2, and 3 November 
1980 (Table 2. Figure 3). The hermit crabs occupied the 
shells of 100 oyster drills (T. h. jloridana) (42.9%), 70 
lightning whelks (B. contrariwri) (30.0%), 42 moon snails 
(P. duphcatiis) (18.0%), 17 pear whelks (B. s. plagosum) 
(7.3%), 2 giant eastern murexes (Murex fulvescens Sowerby) 
(0.9%), and 2 Florida fighting conchs (Strombus alatus 
Gmelin) (0.9%). The hermit crabs carried a total of 299 
drills (X = 1 .3 + 0.8 drill shell" 1 , range = 1-6). The infesta- 
tion mode was 1 drill crab" 1 (N = 194 crabs, 833% of total); 
22 crabs (9.4%) carried 2 drills apiece; 12 crabs (5.2%) 
carried 3 drills apiece; 3 crabs (1 .3%) carried 5 drills apiece; 
and 1 crab each (0.4%) carried 4 and 6 drills apiece, respec- 
tively (Figure 3). Mean sizes and weights of the crabs 
(including the shell and attached epifauna but excluding 
the drills) and the drills are given in Table 2. In general. 
the larger the size of the hermit crab shell, the greater the 
number of attached drills and the larger the size of the 
attached drills. 

On three occasions at two Horn Island locations (Sta. 
1.2 and 1.3, Figure 1) all of the striped hermit crabs 
encountered were collected. Seven percent (97 of 1,360) of 



122 



Cake 



TABLE 4. 

Results of regression analyses on data from drill-infested crabs collected at four stations on 
Horn and East Ship islands, Mississippi 



Host Crab Species 



Correlations (versus number drills)* 



r-Value 



F-Value 



Regression Equation 



Callinectes sapidus 



Clibanarius vittatus 



Carapace width 

Total crab weight 

Cross product (width X weight) 

Number live barnacles crab 

Number live barnacles carapace 

Maximum crab (shell) dimension 
Weight of crab (+shell) versus 

weight of individual drills 
Cross product (size X weight) 
Number live barnacles shell 
Number live Crepidula shell 



- 0.0346 


0.166 


Y = 


2.8935 - O.0O55X 


+ 0.0326 


0.102 


Y = 


1.7755 +0.0018X 


+ 0.0176 


0.030 


Y = 


1.9339 +0.0050X 


-0.1699 


2.883** 


Y = 


2.6023 - 0.0067X 


- 0.2508 


6.508** 


Y = 


2.8419 - 0.0225X 


+ 0.1836 


8.062** 


Y = 


0.9212 +0.0044X 


+ 0.2353 


17.409** 


Y = 


0.5851 +0.0156X 


+ 0.2297 


12.871** 


Y = 


1.0820 +0.0426X 


+ 0.0160 


0.059 


Y = 


1.2797 +0.0009X 


+ 0.1373 


4.438** 


Y = 


1.2268 +0.0218X 



*(Unless otherwise indicated.) 
**(F-Value significant at the <X= 0.05 level.) 



TABLE 5. 

Summary of oyster drill and barnacle infestation data from 99 blue crabs collected at four stations on 

Horn and East Ship islands, Mississippi 







Mean Number 




Mean Number 






Number 


Number 


Drills Crab" 1 


Number Live 


Barnacles Crab 


Relative Intensity* 


Barnacle-to-Drill 


Blue Crabs 


Oyster Drills 


(Range) 


Barnacles 


(Range) 


of Barnacles 


Ratio 



69 


156 


2.26 


(1- 


17) 


4,265 


61.81 


(12- 


-180) 


Light 


27.4 


27 


43 


1.59 


(1- 


- 3) 


3,197 


118.40 


(37- 


-219) 


Moderate 


74.5 


3 


4 


1.33 


(1- 


- 2) 


637 


212.33 


(156- 


-287) 


Heavy 


159.6 


Totals/Means: 






99 


203 


2.05 


(1- 


-17) 


8,099 


81.81 


(12- 


-287) 




39.9 



♦Light = <25% of carapace covered; moderate = 25 to 50% covered; heavy = >50% covered. 



the crabs carried a total of 1 19 drills (Table 3). The 97 drill- 
infested crabs occupied 44 shells of the oyster drill T. h. 
floridana (45.4%), 26 shells of the lightning whelk B. 
contrarium (26.8%), 20 shells of the moon snail P. duplicates 
(20.6%), 6 shells of the pear whelk B. s. plagosum (6.2%), 
and 1 shell of the fighting conch S. alatus (1 .0%). 

Regression analyses were performed on three host 
categories versus the number and/or weight of attached 
drills (Table 4). All three correlations were weak but 
positive. In general, the larger the occupied hermit crab 
shell, the larger the number and size of the attached drills. 

Several noteworthy differences existed between the two 
drill/crab symbioses (Table 2). Drills that were attached to 
blue crabs were twice the mean height as those on hermit 
crabs (36.8 versus 18.5 mm) and consequently, six times 
the mean weight (8.9 versus 1.4 g). Infested blue crabs 
carried more drills than hermit crabs (X= 2.0 ± 2.1 versus 
1.3 ± 0.8 drills crab" 1 , respectively). The maximum number 
of drills carried by a blue crab (17) was 2.8 times the 
maximum number carried by a hermit crab (6). Drill- 
infested blue crabs carried approximately 9.4 times as 



many live acorn barnacles as drill-infested hermit crabs 
(81.8 versus 8.7 barnacles crab" 1 , respectively); however, 
the number of drills on blue crabs was inversely related to 
the number of barnacles, and the number of drills on 
hermit crabs was directly related to the number of barnacles 
(Table 4). Although no additional collections were made, 
the drill/hermit crab symbiosis continued into the fall 
of 1981, whereas the drill/blue crab symbiosis was not 
observed when spawning ceased and the onset of colder 
water temperatures caused blue crabs to migrate into 
deeper water (late fall, 1980). 

Other Symbionts on Drill- Infested Hermit Crabs 

Acorn barnacles (896 of Balanus spp.) and slipper shells 
(603 of Crepidula spp.) were the most abundant epifaunal 
organisms on drill-infested striped hermit crabs (Table 6). 
The mean numbers (and ranges) of barnacles and slipper 
shells per hermit crab shell were 8.7 ± 18.8 (1 - 120) and 
5.7 ± 5.7 (1 — 26), respectively. Weak but positive correla- 
tions existed between the numbers of live barnacles and 
slipper shells on the hermit crab shells and the number of 



Southern Oyster Drills Infest Macrocrustaceans 



123 




Figure 3. Shell of lightning whelk (Busycon contrarium) inhabited by striped hermit crab (Clibanarius vittatus) and infested with Five 
southern oyster drills (Thais haemastoma floridana) and three spotted slipper shells (Crepidula maculosa). Height and weight of whelk 
shell (including attached fouling organisms, except drills): 132 mm and HOg, respectively. Mean drill height and weight, (ranges): 18.1 mm 
(11.0 - 31.0) and 1.1 g (0.2 - 3.7), respectively. Infested crab was captured in the inlet of Ranger Lagoon (Stn. 1.3), Horn Island, MS, 
on 2 November 1980. 

TABLE 6. 

Epifauna of gastropod shells occupied by drill-infested striped hermit crabs at four stations on 
Horn and East Ship islands, Mississippi 









Mean and 




Mean and 




Mean and 


Shell Species Occupied 


(N) 


Crepidula spp. 


Range 


Balanus spp. 


Range 


Ostrea equestris 


Range 


Busycon contrarium 


(70) 


385 


5.5, 1-26 


204 


2.9, 1- 55 


4 


0.1,(1) 


B. spiratum plagosum 


(17) 


108 


6.4, 2-20 


29 


1.7. 1- 12 


8 


0.5, 1-7 


Murex fulvescens 


(2) 


1 


0.5, 1 


1 


0.5, 1 


3 


1.5,(3) 


Polinices duplicatus 


(42) 


56 


1.3,1- 7 


75 


1.8, 1- 20 







Strombus alatus 


(2) 


12 


6.0,(6) 












Tfwis haemastoma floridana 


(100) 
(233) 


41 
603 


0.4, 1- 5 
2.6, 1-26 


587 
896 


5.9, 1-120 


18 
33* 


0.2, 1-3 


Grand totals, means, ranges 


3.8, 1-120 


0.1. 1-7 



*9 live; 4 dead with right valve drilled; 20 dead with only left valve remaining. 



attached drills (Table 4). In general, the greater the number 
of slipper shells on a drill-infested hermit crab shell, the larger 
the number of drills (Table 4). Thus, the presence of attached 
prey species is directly related to the attractiveness of the 
crab's shell to foraging drills. The positive correlation in the 
case of barnacles on hermit crab shells (as opposed to the 
negative correlation in the case of barnacles on blue crab 
carapaces) is a function of the total shell space available for 
foraging drills to attach. (Blue crabs heavily infested with C. 
patula have limited space on the carapace for drills to attach.) 
Several oyster drills were observed feeding on epifauna 
attached to hermit crab shells. One 34-mm drill had rasped 



a hole and was feeding on a 32-mm oyster spat (C. virginica) 
which was attached to the outside of a 107-mm lightning 
whelk shell when the host hermit crab was collected. 
Another 36-mm drill was rasping a hole along the margin of 
a 29-mm slipper shell {Crepidula plana Say) which was 
attached inside the aperature of a 122-mm lightning whelk 
shell when the host hermit crab was collected. Only 9 
(27.3%) of 33 crested oysters {Ostrea equestris Say) found 
on drill-infested shells occupied by hermit crabs were alive; 
4 shells were empty and drilled by a muricid gastropod 
(probably T. h. floridana); and 20 were represented only by 
their attached left valves. 



124 



Cake 



Additional Drill/Crab Symbioses 

During the study, several additional examples of oyster 
drill/crab symbioses were observed in the vicinity of Horn 
Island, MS. Several large horseshoe crabs (L. polyphemus) 
along the island's beach had one or two moderate-to-large 
oyster drills attached to their abdomens. Two additional 
drill-infested crab species were collected in commercial 
blue crab traps in deeper water (> 3 m) off the island's 
north beach. One stone crab {Menippe merceiiaria [Say] ; 
95 mm, 184 g) carried five drills (66 to 71 m) and five live 
barnacles (C. patula) on its carapace. One spider crab 
(Libinia dubia H. Milne Edwards; 73 mm. 148 g) carried 
one drill (62 mm, 34 g) and 85 live and 10 dead barnacles 
(C. patula) on its carapace. Those symbiotic associations 
may have been artificially produced, however, because the 
crabs were confined in a trap that attracted and permitted 
the entry of large numbers of oyster drills. 

An additional oyster drill/hermit crab symbiosis was 
observed during the summer of 1981 in St. Joseph Bay, FL. 
Four red hermit crabs (Pagurus impressus [Benedict] ) 
occupying shells of the Florida fighting conch {S. alatus) 
carried six mauve-mouth oyster drills (Calotrophon ostrearum 



[Conrad] ) (Figure 4). The mean height of the conch shells 
was 86 mm (78 — 94 mm) and the mean weight of the shell 
plus crab was 76 g (52 - 93 g). The mean height and weight 
of the drills were 21.0 mm (17.5 - 23.6 mm) and 1.0 g 
(0.5 - 1.6 g), respectively. The conch shells were also 
occupied by five crested oysters (O. equestris), one of 
which was incompletely drilled, and numerous slipper shells 
(Crepidula maculosa Conrad and C. plana) of various sizes. 

Behavior of Oyster Drills and Hermit Crabs 

When given the opportunity to interact with hermit 
crabs in laboratory aquaria, the oyster drills behaved as 
follows: 

1. The drills more frequently mounted hermit crab 
shells that had live barnacles attached, and also those that 
had other drills attached. When live barnacles were present. 
179 (91.8%) of 195 drills mounted hermit crab shells; 
124 drills (63.6%) attached if other drills were already 
attached to the hermit crab shells; and 55 drills (28.2%) 
attached when no other drills were present. When no live 
barnacles were present on the hermit crab shells, 1 1 drills 
(5.6%) attached in the presence of other drills and 5 drills 
(2.6%) attached in the absence of other drills. 




Figure 4. Shell of fighting conch (Strombus alatus) inhabited by red hermit crab (Pagurus impressus) and infested with two mauve-mouth 
oyster drills (Calotrophon ostrearum) and one spotted slipper shell (Crepidula maculosa). Height and weight of conch shell (including fouling 
organisms, except drills): 94 mm and 93 g, respectively. Drill heights and weights: 21.4 and 23.6 mm, 1.2 and 1.6 g, respectively. Slipper 
shell length and weight: 27.0 mm and 2.0 g, respectively. Infested crab was captured in the vicinity of Presnell's Fish Camp, St. Joseph Bay, 
Port St. Joe, FL, on 15 June 1981. 



Southern Oyster Drills Infest Macrocrustaceans 



125 



2. The usual drill-to-crab mounting occurred in the 
following manner: When the hermit crab shell was 
encountered, the drill raised its tentacles and siphon, 
extended them forward, and examined the shell; the drill 
then raised the forward portion of its foot, attached to the 
shell, and when most of the foot was connected, it pulled 
its body and shell onto the host's shell. Once mounted, the 
drill usually moved around the shell for a few minutes 
before becoming quiescent. The drill-to-shell mounts were 
relatively fast and were completed approximately 5 seconds 
after initial contact. 

3. Most drills mounted the part of the hermit crab's 
shell that was initially encountered, regardless of the position 
and activity of the host crab's tentacles, eyes, and chelipeds. 
Drills were able to mount hermit crab shells that were 
moving when encountered. 

4. Drills mounted hermit crab shells from sand and 
solid substrates with relative ease; 61% of the mountings 
were from sand and 39% were from aquarium sides, other 
crab shells, dead oyster shells, and pieces of brick. Drills 
also attached to passing crab shells while upside-down 
(shell aperature up) in the sand. 

5. On three occasions 15 drills mounted one hermit 
crab shell (6 drills per hermit crab shell was the greatest 
infestation observed in the field). Fifteen drills mounted one 
crab within 50 minutes (0.3 drill min" 1 ). The greatest attach- 
ment rate on one hermit crab shell was 1 1 drills within 
6 minutes ( 1 .8 drills min" 1 ). 

6. Apparently, oyster drills were attracted to barnacles 
on the hermit crab shells and remained on the shell until 
more preferred prey such as oysters were encountered 
or until dislodged for other reasons. The drills dismounted 
from hermit crab shells onto or immediately adjacent to 
live oysters, but rarely remounted the crab shells once on 
live oysters. Twenty-four (57.1%) of 42 drills in three 
experiments were transported to live oysters by hermit 
crabs. 

DISCUSSION 

Factors Controlling Oyster Drill /Crab Symbioses 

Southern oyster drills were attracted to and mounted 
blue crabs and striped hermit crabs for at least one of the 
following reasons: 

1 . Foraging and the presence of potential food. 

The presence or probable presence of acceptable 
prey species of the southern oyster drill appeared to be the 
most important controlling factorin the drill/crab symbioses. 
St. Amant (1938) and Butler (1953, 1954) reported that 
drills, especially young ones, will consume barnacles, and 
that drills of all sizes will prey on oysters and mussels. 
During this study I observed direct and indirect evidence 
of drill predation on epifauna of blue crab and hermit 
crab shells. Direct evidence included actual feeding of drills 



on barnacles (on blue crabs) and indirect evidence included 
Thais drill holes in dead oysters and in-progress drilling of a 
slipper shell (on hermit crab). This is the first known 
evidence of slipper shell predation by the southern oyster 
drill. All drill-infested blue crabs had live barnacles attached 
to their exoskeletons, but if the crab's carapace was heavily 
infested (> 50% coverage) with barnacles, space availability 
appeared to limit the number of attached drills. The numbers 
of barnacles and slipper shells on drill-infested hermit crabs 
were, however, positively correlated with the number of 
attached drills. 

Foraging drills are negatively geotactic; they will 
move upward when placed under water, unless they 
encounter acceptable food in which case they remain with 
the food species "indefinitely" (Butler 1979). The act of 
crawling up onto any solid substrate including crab shells 
or aquarium walls is a normal foraging behavior of oyster 
drills. Butler (1979) reported that the South Australian drill 
Thais orbita (Gmelin) moved up the walls of a container in 
the absence of barnacles, but remained with and fed on 
barnacles (Balanus glandula Darwin) when present. Whether 
the drill's negative geotaxis was automatic or in response 
to the release of metabolites by potential prey species was 
not determined and, in the case of relatively small substrates 
like crab shells, the two behaviors may be inseparable. In 
the case of these drill/crab symbioses, most initial attach- 
ments probably resulted from foraging, but were enhanced 
if acceptable prey species were present. 

2. The presence of other attached drills (gregarious 
factor). 

Southern oyster drills are normally gregarious, 
especially during feeding and spawning when food by- 
products and pheromones, respectively, are released (St. 
Amant 1938, Gunter 1979). The presence of 16 drills on 
the carapace of one blue crab is an example of gregarious- 
ness (Figure 2). The 16 drills were clumped together; 
however, only five live barnacles were present and no feeding 
or spawning activities were in progress. Thus, some other 
factor attracted and held the drills on the crab's carapace. 
During the laboratory experiments, only 11 (5.6%) of 195 
drills attached to crabs which had other attached drills 
but no live prey (barnacles). Thus, this appears to be a 
minor factor. When the initial field collections were made, 
the drill spawning season had ended and no reproductive 
activities were observed among the young drills used in 
the laboratory behavior trials. 

3 . The availability of solid, stable substrates for pro- 
tection or shelter. 

Oyster drills, especially recently settled juveniles, 
are normally associated with and attached to firm substrates 
such as oyster shells, rocks, and submerged objects (timbers, 
stumps, etc.) for food (epifauna), protection (from 
predators), and shelter (from currents, waves, and potential 



126 



Cake 



loss of attachment and subsequent abrasion, burial, or 
predation). Because of the dearth of such substrates in the 
vicinity of the barrier islands, the attachment of young 
drills to the crab shells may have been a defensive as well as 
a foraging behavior. Small drills which were attached to 
crab shells had a lower probability of being consumed 
by fish and crab predators than unattached drills. Although 
striped hermit crabs will kill oyster drills (Gunter 1979), 
they are unlikely to leave the protection of their gastropod 
shell to attack attached drills; however, small drills within 
the aperature of the hermit crab shell may be subjected to 
such predation. Blue crabs will remove attached drills if 
they are within reach of the chelae and the crabs can dis- 
lodge attached drills by "rubbing" them against aquarium 
walls. In either case, protection is lost, and the drills may be 
subject to predation. 

4. The presence of eggs on ovigerous blue crabs. 

Eggs or their by-products which are released from 
ovigerous crabs may biochemically attract foraging drills. 
Sixty-four (65.3%) of the 98 drill-infested females were 
ovigerous, 26 (26.5%) were "spent" (the zoeae had recently 
hatched), and the remaining 8 (8.2%) had not yet spawned. 
The probability of drill infestation is greater when the 
females are ovigerous than when they are not. Of 55 females 
infested with a single drill. 31 (56.4%) were ovigerous; 
16 (72.7%) of 22 females with two drills were ovigerous; 
11 (78.6%) of 14 females with three drills were ovigerous; 
and 6 (75.0%) of 8 females with five or more drills were 
ovigerous. In a related study of drill damage to blue crabs 
in commercial traps north of Horn Island. I observed several 
drills feeding on the "sponge" of ovigerous females. The 
highly protrusile proboscis of oyster drills permits them to 
rasp and feed on crab eggs while attached to the carapace 
and abdomen of ovigerous females. 

5. The presence of biochemical stimulants or by- 
products from wounded or moribund blue crabs. 

Wounded, moribund, or dead crabs, especially blue 
crabs, may represent a potential food source for the other- 
wise carnivorous drills. On several occasions in November 
1980, when large numbers of spawned-out females were 
dead or dying, a few were stranded on the beach at low tide 
with drills still attached to their carapaces. Were the drills 
waiting for passive transportation to continue or were 
they waiting for a meal? During a related study of drill 
damage to commercially trapped blue crabs north of Horn 
Island in the spring of 1981. I observed that drills pene- 
trated the crabs' exoskeletons via wound holes, autotomized 
appendage stumps, thin appendage joints, and occasionally 
via holes drilled in the carapace. The drills also used their 
protrusile proboscis to penetrate the thin membranes at 
the bases of the gills within the branchial chambers to 
gam access to thoracic muscle tissues. No such crab 



predation was observed during the present study of 203 
drills that were attached to 99 live blue crabs. 

6. Increased random attachment to available substrates 
by an exploding drill population. 

Environmental conditions near the barrier islands 
may have promoted the drill/crab symbioses. Extended 
drought conditions during 1979-1981 increased salinities 
in Mississippi Sound and permitted the settlement of 
relatively large numbers of young drills in normally marginal 
habitats. Those drills became abundant in habitats con- 
taining barnacles, mussels, and oysters around the barrier 
islands. The sheer abundance of the drills and their random 
attachment to all firm objects may account for their 
presence on crabs. In those instances when infestation 
prevalence was determined, blue crabs and hermit crabs 
exhibited the same prevalence (7.17c). Although I made no 
attempt to document the presence of drills on flotsam and 
jetsam around the barrier islands, Federighi (1931) and 
L. A. Stauber (in Carriker 1955) reported that young oyster 
drills (U. cinerea) were distributed by attaching to floating 
algae as well as to other flotsam and jetsam. I routinely 
observed drills on submerged planks and other discarded 
items in barrier island lagoons during this study. 

7 . In response to a programmed symbiotic phenomenon. 

If the drill/crab symbioses are as well established as 
shown by this and other studies (Table 1). then muricid 
drills may be programmed to seek crabs for their trans- 
portation potential. The availability of transportation to 
unpopulated areas, especially those with abundant food 
supplies, may foster the symbiotic relationship. 

Probable Role of Macrocrustaceans in the Migration of Southern 
Oyster Drills 

Along the Gulf of Mexico coast, blue crabs and striped 
hermit crabs are common inhabitants of estuaries and 
oyster reefs (McDonald 1940, Galtsoff 1964, McClellan 
1965, Fotheringham 1976, Bahr and Lanier 1981) where 
they tolerate a wide range of water salinities and tempera- 
tures (Christmas and Langley 1973). Blue crabs move 
about extensively (Darnell 1959) and can travel as much as 
1.6 to 2.0 km day" 1 (H. Perry, Gulf Coast Research Labora- 
tory, Ocean Springs, MS, and M. Oesterling, Virginia 
Institute of Marine Science, Gloucester Point, VA, unpub- 
lished data). Thus, they could carry oyster drills from barrier 
island habitats to inshore oyster reefs within a week. In 
contrast, striped hermit crabs travel much less and usually 
remain within the littoral and shallow, sublittoral zones 
(Fotheringham 1975). They travel as much as 156 m day" 1 
(Hazlett 1981) and. thus, could carry oyster drills (to 
nearby oyster reef) but not as far as blue crabs. On the 
other hand, oyster drills do not migrate (Butler 1953); 
unless carried by crabs or other means, the drills probably 
remain within the vicinity where they originally settled. 



Southern Oyster Drills Infest Macrocrustaceans 



127 



In Mississippi Sound, at least three species of crabs 
(blue, striped hermit, and horseshoe) were observed trans- 
porting drills during this study. Thus, the drill/crab 
symbioses may be important in distributing juvenile and 
young adult drills. The quantity of drills transported by 
this means is small when compared with the number of 
larval drills that are distributed in the plankton to high 
salinity areas following reproduction. Nevertheless, the 
crabs might carry drills to areas where currents do not 
carry larval drills, and they can transport drills throughout 
the year. 

Along the Atlantic and Gulf coasts of the United States, 
at least four species of muricid oyster drills [Calotrophon 
ostreanim, Eupleura caudata, Thais haemastoma floridana, 
and Urosalpinx cinerea) and five species of arthropods 
( Callinectes sapidus, Clibanarius vittatus, Pagiims impressus, 
Pagitrus pollicaris, and Limulus polyphemus) (Table 1) 
participate in drill/crab symbioses. Although relatively few 
reports about these symbioses appear in the literature. I 
suspect that they are common and have an important 
role in extending the distributions of oyster drills. 
MacKenzie (1962) concluded that horseshoe crabs (L. 
polyphemus) were important distributors of Atlantic coast 
oyster drills (E. caudata and U. cinerea) throughout Long 
Island Sound and perhaps beyond. Harold Haskin (in 
Carriker 1955) concluded that hermit crabs (P. pollicaris) 
played an important role in the distribution and migration 
of Atlantic oyster drills (U. cinerea) in Delaware Bay. 

The distributory effects of these drill/crab symbioses 
may be somewhat negated, however, because blue crabs 
and striped hermit crabs prey on small oyster drills. Blue 
crabs in Horn Island lagoons (pers. observ.) and in nearby 
Lake Pontchartrain, LA (Darnell 1958), readily consume 
small gastropods which they ingest whole. Gunter (1979) 
reported that striped hermit crabs killed southern oyster 
drills in Apalachicola Bay, FL, by pinching their tentacles 
until they bled to death; thereafter, the crabs pulled the 
drills from their shells, consumed the flesh and occupied 
the newly emptied shell. Of 1,360 striped hermit crabs 
collected during November 1980, from the Horn Island 
lagoons (Stn. 1.2 and 1.3), 825 (60.7%) occupied shells 
of the southern oyster drill. (The next most frequently 
occupied shell was that of the moon snail P. duplicatus 
[23.0%].) Rudloe (1971) documented the attack of a 
striped hermit crab on a live pear whelk Busycon spiratum 
(Lamarck) in which the crab killed the whelk with its 
chelae, extracted and consumed the flesh, and occupied 
the new shell briefly before returning to its "old" shell. 

Drill/Crab Symbioses: Commensalism or Phoresis? 

Cheng (1967) discussed the importance of commensalism 
and phoresis in the marine environment and pointed out 
that the two symbioses differed primarily with regard to 
nutritional aspects. He defined "commensalism" as a more 
or less intimate relationship in which the commensal (in 



this case the drill) generally derives physical shelter from 
the host (the crab), is nourished on food organisms that are 
associated with but not a part of the host (barnacles, oysters, 
slipper shells), and is not metabolically dependent on the 
host. Literally, commensalism means "eating at the same 
table." It is a loose type of nonobligatory relationship 
(Cheng 1967). He defined "phoresis" as a loose, nonobliga- 
tory relationship in which one species, the host (crab), 
merely provides shelter, support, or transport for the other 
species, the phoront (drill). Metabolic dependency is not 
involved. In a more restrictive definition, Cheng (1973) 
considered phoresis as an association in which the smaller 
of the two species, the phoront. is mechanically carried in 
or on the larger species, the host, and no metabolic inter- 
action or dependency occurs. It does not involve a sharing 
of food as does commensalism. According to Cheng's 
definitions of phoresis, those animals, commonly referred 
to as being epizootic or epizoic. are engaged in phoretic 
associations with their hosts. 

The symbiotic relationships between southern oyster 
drills and crabs in Mississippi Sound share components of 
commensalism and phoresis. The two symbioses can overlap 
according to Cheng (1967). and this is apparently the case 
with the drill/crab associations described herein. In a 
limited sense, the drills derive passive transport (cf., phoresis), 
shelter (cf., phoresis and commensalism), albeit negligible, 
and support (cf., phoresis) from the crab hosts. The drills 
derive nutritional benefit in a nonobligatory fashion (cf., 
commensalism) from the epifauna on the crab hosts, but 
the drills do not "share" those prey species in the traditional 
sense (cf.. commensalism) such as do hermit crabs and 
attached sea anemones. On the other hand, if drills consume 
eggs from ovigerous blue crab females or attack and kill 
free-living blue crabs, then the relationship can be considered 
predatory. 

If food availability and utilization are the primary 
controlling factors in the drill/crab symbioses, the relation- 
ships should be categorized as modified forms of commens- 
alism. On the other hand, if, as MacKenzie (1962) observed, 
the drills primarily derive passive transport from the crabs, 
the relationships should be categorized as modified forms 
of phoresis. Cheng (1967) noted a considerable overlapping 
between commensalism and phoresis, yet he provided no 
examples of symbioses that shared characteristics of both. 
He suggested that one type of symbiosis may evolve into 
another. In that case, neither the commensalitic nor phoretic 
behavior of the two symbionts appears to be dominating. 
I suggest, therefore, that the commensalistic components 
probably evolved first and the phoretic components occurred 
secondarily. The drill/crab symbioses in Mississippi waters 
appear to be primarily commensalistic and secondarily 
phoretic, and perhaps should be defined as phoretic 
commensalism. Of the seven controlling factors discussed 
at the beginning of this section, foraging and the presence 
of attached prey species (on blue and hermit crab shells) 



128 



Cake 



and egg masses (on ovigerous blue crabs) probably initiated 
the relationships', food availability, gregariousness, and sub- 
strate stability (protection and/or shelter) probably pro- 
longed them; and the foraging for new food sources or 
dislodgment probably terminated the relationships. The 
drill's "predatory" behavior toward wounded or moribund 
blue crabs appeared to be an expression of the drill's 
normal opportunistic feeding, especially when it occurred 
in commercial crab traps. The possibilities of random 
attachment to solid substrates and "programmed" trans- 
portation attempts appeared to be the least plausible 
controlling factors. 



ACKNOWLEDGMENTS 

I gratefully acknowledge the financial and logistical 
support of the Gulf Coast Research Laboratory and the 
cooperation and assistance provided by officials of the Gulf 
Islands National Seashore (National Park Service). Roger 
Jennings and Rick Sherrard assisted with field collections 
and laboratory measurements; Gary Licht conducted prelim- 
inary studies of oyster drills and hermit crabs: and Vincent 
Smith provided occasional boat transportation and infested 
specimens from his commercial crab traps. Valarie Hebert 
provided statistical and computer assistance and Lucia 
O'Tooleand Cindy Dickens typed the manuscript drafts. 



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size distributions of Tliais spp. (Gastropoda; Muricidae). /. 

Exp. Mar. Biol. Ecol. 41:163-194. 
Butler, P. A. 1953. The southern oyster drill. Natl. Shellfish. Assoc, 

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Gulf of Mexico. U.S. Fish Wildl. Serv. Fish. Bull. 89:479-489. 
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oyster drills Urosalpinx and Eupleura. U.S. Fish Wildl. Serv. 

Spec. Sci. Rep. Fish. 148:1-150. 
Chapman, C. R. 1955. Feeding habits of the southern oyster drill, 

Tliais haemastoma. Proc. Natl. Shellfish. Assoc. 46:169-176. 
. 1958. Oyster drill [Tliais haemastoma) predation in 

Mississippi Sound. Proc. Natl. Shellfish. Assoc. 49:87-97. 
Cheng, T. C. 1967. Marine molluscs as hosts for symbioses. Adv. 

Mar. Biol. 5:1-424. 
. 1973. General Parasitology. New York, NY: Academic 

Press, Inc. 965 p. 
Christmas, J. Y. & W. Langley. 1973. Estuarine invertebrates, 

Mississippi. Christmas, J. Y., ed.. Cooperative Gulf of Mexico 

Estuarine Inventory and Study. Mississippi. Gulf Coast Research 

Laboratory, Ocean Springs, MS. Section 4:255-319. 
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of Lake Pontchartrain. Louisiana, an estuarine community. 

Publ. Inst. Mar. Sci. Univ. Tex. 5:353-416. 
. 1959. Studies of the life history of the blue crab 

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Fish.Soc. 88(41:294-304. 
Federighi, Henry. 1931. Studies of the oyster drill [Urosalpinx 

cinerea Say). U.S. Bur. Comm. Fish. Bull. 47:85-115. 
Fotheringham, Nick. 1975. Structure of seasonal migrations of the 

littoral hermit crab Clihanarius vittatus (Bosc). J. Exp. Mar. 

Biol. Ecol. 18:47-53. 
. 1976. Population consequences of shell utilization by 

herit crabs. Ecology 57(3):570-578. 
Galtsoff, P. S. 1964. The American oyster Crassostrea virginica 

(Gmelin). U.S. Fish Wildl. Serv. Fish. Bull. 64:1-480. 
Gunter. G. 1953. The relationship of the Bonnet Carre spillway to 



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with a report on the 1950 opening. Publ. Inst. Mar. Sci. Univ. 
Tex. 3(1):17-71. 
. 1979. Studies of the southern oyster borer, Thais 



haemastoma. Gulf Res. Rep. 6(31:249-260. 
Hazlett, B. A. 1981. Daily movements of the hermit crab Clihanarius 

vittatus. Bull. Mar. Sci. 3 1 ( 1 ) : 1 77— 1 83. 
Hofstetter, R. P. 1959. The Texas oyster fishery. Tex. Parks Wildl. 

Dep. Bull. 40:1-39. 
MacKenzie, C. L., Jr. 1962. Transportation of oyster drills by 

horseshoe "crabs." Science 137(35231:36—37. 
May, E. B. 1971. A survey of the oyster and oyster shell resources 

of Alabama. Ala. Mar. Resour. Bull. 4:1-53. 
& D. G. Bland. 1970. Survival of young oysters in areas of 

different salinity in Mobile Bay. Proc Southeast. Assoc. Game 

Fish Comm. 23:519-521. 
Menzel. R. W. & S. H. Hopkins. 1955. Crabs as predators of oysters 

in Louisiana. Proc. Natl. Shellfish. Assoc. 47:177- 184. 
Menzel, R. W., N. C. Hulings & R. R. Hathaway. 1957. Causes of 

oyster depletion in St. Vincent Bar. Apalachicola Bay, Florida. 

Proc. Natl. Shellfish. Assoc. 48:66-71. 
. 1966. Oyster abundance in Apalachicola Bay. Florida, in 

relation to biotic associations influenced by salinity and other 

factors. Gulf Res. Rep. 2(2):73-96. 
McClellan, H. A. 1965. A survey of the ectoparasites and commensals 

of the American oyster, Crassostrea virginica. in Mobile Bay, 

Alabama. Tuscaloosa, AL: Univ. of Alabama. 39 p. Thesis. 
McConnell, J. N. 1953. The Gulf coast conch, Thais haemastoma. 

Natl. Shellfish. Assoc. Conven.Pap. 1953:76-77. 
McDonald, H. J. 1940. Animal associates of oysters at Beaufort, 

North Carolina. Durham, NC: Duke Univ. 49 p. Thesis. 
Overstreet, R. M. 1978. Marine Maladies? Worms, Germs, and Other 

Symbionts from the Northern Gulf of Mexico. Ocean Springs, 

MS: Mississippi-Alabama Sea Grant Consortium. MASGP-78- 

021:140 p. 
. 1982. Metazoan symbionts of the blue crab. Perry, H. M. 

and W. A. Van Engel, eds.. Proceedings of the Blue Crab Collo- 
quium. 1979 October 16-19; Biloxi, MS: Gulf States Mar. 

Fish. Comm. Ann. Meet. Available from: GSMFC, Ocean Springs, 

MS. 7:81-87. 
Pollard, J. F. 1973. Experiments to re-establish historic oyster seed 

grounds and to control the southern oyster drilL La. Wildl. Fish. 

Comm. Tech. Bull. 6:1-82. 
Rudloe, J. 1971. The Erotic Ocean. New York, NY: World Publishing 

Co. 448 p. 
St. Amant, L. S. 1938. Studies on the distribution of the Louisiana 

oyster drill, Tliais floridana haysae Clench. Baton Rouge, LA: 

Louisiana State Univ. 108 p. Thesis. 
Williams, A. B. 1965. Marine decapod crustaceans of the Carolinas. 

U.S. Fish Wildl. Serv. Fish. Bull. 65(11:1-298. 



Journal of Shellfish Research, Vol. 3, No. 2, 129-134, 1983. 

PREDATION ON AMERICAN OYSTERS (CRASSOSTREA VIRGINICA [GMELIN] ) 

BY AMERICAN LOBSTERS (HOMARUS AMERICAN VS MILNE-EDWARDS), 

ROCK CRABS (CANCER IRRORATUS SAY), AND 

MUD CRABS (NEOPANOPE SAYI [SMITH] ) 

ROBERT W. ELNER 1 AND RENE E. LAVOIE 2 

1 Department of Fisheries and Oceans 
Invertebrates and Marine Plants Division 
Biological Station 

St. Andrews, New Brunswick, Canada EOG 2X0 

2 Department of Fisheries and Oceans 
Fisheries Research Branch 

Halifax, Nova Scotia. Canada B3J 2S 7 

ABSTRACT Predation on the American oyster Crassostrea virginica (Gmelin) by the American lobster Homarus 
americanus Milne-Edwards, the rock crab Cancer irroratus Say, and the mud crab Neopanope sayi (Smith) was studied in the 
laboratory. When provided with a range of oysters from 10 to 35 mm shell length (SL), lobsters (55-98 mm carapace 
length [CL)) and rock crabs (32-107 mm carapace width [CW]) could all open oysters of 25 to 30 mm SL, but they 
usually selected smaller oysters. Oysters of 30 to 35 mm SL appeared to be a critical size as they were rarely preyed upon 
by either lobsters or rock crabs. Although all lobsters had a similar broad preference for oysters of 10 to 25 mm SL, larger 
rock crabs preferred larger oysters than smaller rock crabs. Predation rates were variable among individuals but were 
generally faster in larger than in smaller lobsters and rock crabs. Maximum mean lobster and rock crab predation rates were 
28.0 and 4.5 oysters • predator ■ day , respectively. Groups of rock crabs (32-58 mm CW) and mud crabs ( 14-23 mm 
CW) that fed on oysters of 2 to 9 mm SL which were attached to spat collectors, averaged 0.59 and 0.44 oyster • crab -1 ■ 
day , respectively. Larger rock crabs (50-76 mm CW). foraging on spat collectors, consumed 1.26 oysters * crab 
day . No discernible sexual differences existed in either oyster size selection or predation rates for the lobsters and crabs. 
Patterns of oyster destruction were predator-specific. Lobsters opened oysters by indiscriminate crushing, whereas rock 
crabs exploited weak spots around the shell margin and thin areas in the cup valve. Isolating oyster < 30 to 35 mm SL 
from decapod predators and barring rock crabs and mud crabs from spat collectors would reduce oyster mortality. 

KEY WORDS: Oysters, Crassostrea virginica, lobsters, crabs, predation. selectivity, mariculture 

INTRODUCTION did not consider opening techniques or size-specific 

predation rates. 
The American oyster Crassostrea virginica (Gmelin) is In Caraquet Bay, NB, culturists collect oyster spat on 

cultivated extensively on the eastern coast of North America "chinese-hat" collectors, so-called because of the conical 
and has economic importance in many communities. Studies collector plates, the 0.33-m diameter plates are stacked in 
of oysters have identified cancrid. portunid, and xanthid bundles of 12 with a gap of 30 mm between adjacent 
crabs (Menzel and Hopkins 1955, McDermott 1960. Krantz P^tes. The bundles are suspended, from rafts or fences, 
and Chamberlin 1978, MacKenzie 1981). oyster drills 0.3 m above the sea bottom. Culturists detach oyster spat 
(Galtsoff 1964), and starfish (Galtsoff 1964) as the principle from the collectors at a shell length of about 23-25 mm 
predators. (See MacKenzte [1981] for a comprehensive and use various P rotective reari "g techniques to grow the 

oysters to seed. The oysters are exposed to lobsters and 



review of oyster mortality factors.) 

We found in our laboratory study that American lobsters 



rock crabs when relaid as seed onto growing areas at shell 

lengths from 25 to 60 mm. 

(Homarus americanus Mhne-Edwards) are also predators of We conducted a laboratory investigation on the shell- 

oysters. Previously it was shown that lobsters prey on op ening behavior and feeding rates of lobsters and rock 
several types of molluscs and other invertebrates (Ennis crabs on unattached oysters from Caraquet Bay. Predation 
1973, Elner and Jamieson 1979, Elner 1980, Scarratt 1980). by rock crabs and mud crabs {Neopanope sayi [Smith] ) on 
The rock crab Cancer irroratus Say preys on oysters in oysters attached to chinese-hat collectors was also 
Caraquet Bay, New Brunswick, Canada (R. W. Elner, considered. Both crabs are abundant on the collectors 
unpublished data), and on other molluscs and invertebrates suspended in the bay and cause oyster mortality. We were 
in other areas (Scarratt and Lowe 1972, Elner and Jamieson particularly interested in obtaining information about the 
1979, Elner 1980). The only previous quantitative investi- predators that could be used to improve culture strategy 
gation of oyster predation by rock crabs (MacKenzie 1981 ) and ultimately increase oyster yields. 

129 



130 



Elner and Lavoie 



MATERIALS AND METHODS 

Lobsters and large rock crabs were captured by otter 
trawl in Passamaquoddy Bay, New Brunswick, Canada, near 
the mouth of the Bay of Fundy . Small rock crabs, mud crabs, 
and oysters were collected from commercial oyster beds in 
Caraquet Bay, NB. The oysters had been grown on the 
cement substrate which coats the chinese-hat collectors, 
and thus had cement cultch bonded in their left (cupped) 
shell valves. During experiments, the predators and oysters 
were kept in 0.35- X 0.5-m glass aquaria filled to a depth of 
0.25 m with running seawater. The seawater temperature 
was 13 ± 1°C and the salinity range was 29 to 32 ppt 
throughout our investigations. 

Lobster size was measured as carapace length (CL) from 
the posterior edge of an eye socket to the posterior edge of 
the carapace, parallel to the longitudinal axis. The sizes of 
rock crabs and mud crabs were determined by measuring 
carapace width (CW) between the tips of the distal marginal 
teeth. Maximum shell dimension ("length") (SL) was 
measured to express oyster size. All measurements are 
accurate to the nearest 0.1 mm. 

Predators were held without food for 2 days before 
feeding experiments to standardize hunger levels. Only 
uninjured, apparently healthy predators and oysters were 
used. 

Predation techniques used by lobsters from 55 to 98 mm 
CL and rock crabs from 32 to 107 mm CW on oysters of 
5 to 35 mm SL were observed. We also observed the tech- 
niques used by small rock crabs (32—58 mm CW) and mud 
crabs (14-23 mm CW) as they fed on oyster spat (2-9 mm 
SL) which were attached to the chinese-hat spat collectors. 
Shell fragments were collected to help interpret and describe 
breaking techniques. 

Individual lobsters and rock crabs from three and four 
size groups, respectively , each group comprising six predators, 
were presented with five size classes of oysters of ten individ- 
uals each. The oysters were spread over the bottom of the 
aquaria. Prey and predators sizes were: 

Oysters (mm, SL): 10-15, 15-20, 20-25, 25-30, 30-35. 
Lobsters (mm, CL): 55-63 (9), 58-62 (d), 85-98 (9). 
Rock crabs (mm, CW): 32-46 (9), 35-45 (d), 73-79 (d), 
94-107 (d). 

The sizes of the predators were within the size ranges 
that occur on oyster beds in Caraquet Bay. The predators 
were segregated by sex to determine whether feeding 
behavior or rates were different. The number of oysters 
eaten in each size class was monitored daily for 11 days; 
all oysters eaten were replaced by live oysters of the same 
size class to maintain prey availability. 

Four groups of five female rock crabs and two groups of 
five male rock crabs (32—58 mm CW) plus two groups of 
five female mud crabs and four groups of five male mud 
crabs (14-23 mm CW) were each presented with 



approximately 200 oysters (2-9 mm SL) which were 
attached to sections from chinese-hat spat collectors. The 
crabs were obtained from collectors in Caraquet Bay. In 
addition, six individual male and four individual female 
rock crabs (50—76 mm CW) were each provided with a 
section of a chinese-hat collector which held approximately 
200 oysters (2—9 mm SL). After 7 days the number of 
oyster spat eaten by each predator group was estimated by 
counting the scars on the collector resulting from successful 
acts of predation. Individual rock crabs were left 17 days 
before the number of oyster spat eaten was estimated. 

RESULTS 

Lobsters and rock crabs appeared to encounter oysters 
randomly. They would then manipulate them with their 
mouthparts and anterior walking legs, and finally attempt 
to crush them. 

Lobsters broke small oysters (< 10 mm SL) outright 
with their mouthparts or crusher chelae, whereas they 
broke oysters of 10—35 mm SL with their crusher chelae 
alone. The lobster's slender cutter chela grasped the oyster 
while the more robust crusher compressed opposite valves 
of the shell. If the shell did not break, its position was 
repeatedly adjusted and further compression forces were 
applied until a weak spot was found and breaking occurred. 
No one part of the oyster shell appeared to be broken more 
frequently, as evidenced by the varied shapes of the shell 
fragments resulting from the lobster's actions (Figure 1A). 
Oysters that could not be broken after several crushing 
attempts were usually rejected. 

Rock crabs readily crushed small oysters up to 10 mm 
SL; they held the oyster with one chela and crushed it with 
the other. Rock crabs appeared more specific than lobsters 
in opening oysters of > 10 mm SL, although they showed a 
similar propensity to "test" oysters for weak spots until 
the shell ultimately broke or was rejected. The most 
common approach was to chip pieces from the shell margin 
until a hole was made into which the tips of the chelae 
could be inserted; then, the shell valves were pried apart. 
No part of the shell margin appeared to be attacked prefer- 
entially. Occasionally, shell valves were not separated and a 
hole or large gap was made at the edge of the shell. Oysters 
of up to about 25 mm SL were also opened by making a 
hole in the central area of the cup valve where the shell 
was thin. Patterns of damage to oyster shells produced by 
rock crabs are shown in Figure 1 B. 

The two crab species exhibited different behaviors when 
foraging for oysters on collectors. Rock crabs broke oysters 
while they were attached or detached the oysters before 
opening them. Mud crabs were restricted to breaking 
attached oysters. 

No observable sexual differences existed in oyster- 
opening behavior for lobsters or crabs. Once the oyster had 
been opened, lobsters used only their mouthparts to glean 
flesh from the prey, while rock crabs used their chelae and 
mouthparts to tear away the flesh from the broken shell. 



Predation on Oysters by Lobsters and Crabs 



131 




$40^C| 




o t> s) & ft a 

"V ^f w Ur 

50mm 


Um) J 



Figure 1. (A) Oyster shell fragments resulting from lobster predation; note the varied shapes of the fragments. (B) Shell fragments 
from oysters opened by rock crabs; note the characteristic damage to shell margins and central areas of cup valves. 



132 



Elner and Lavoie 



Figure 2 shows that, for all the lobster size groups, preop- 
tion rates were highest within the small-to-intermediate sizes 
of oysters (10—25 mm SL) and declined rapidly with larger 
oysters. Rock crabs also fed on a broad size range of oysters, 
but larger rock crabs preferred larger oysters than the 
smaller rock crabs. Oysters of 30—35 mm SL appeared to 
be at a critical size as they were rarely preyed upon by 
either lobsters or rock crabs. Feeding rates were variable 
among predators of the same size group and for individual 
lobsters and rock crabs from day to day ;however, mean daily 
predation rates increased significantly (P <0.01) as predator 
sizes increased for lobsters and rock crabs (Figure 3). Thus, 
maximum mean rates (± standard error of the mean. SE) by 
lobsters and rock crabs, 28.0 ± 0.33 and4.5 ± 1 .40 oysters • 
predator" 1 • day" 1 , respectively, were attained by some of 
the larger predators of each species (Figure 3). The larger 
rock crabs attained predation rates equivalent to those of 
the smaller lobsters. 

The mean predation rate (± SE) on attached oysters 
(2—9 mm SL) by rock crabs (32—58 mm CW) in groups was 
0.59 ± 0.07 oyster • crab" 1 ■ day" 1 , whereas the mean rate 
for isolated rock crabs (50-76 mm CW) on attached 
oysters was 1 .26 ± 0.25 oysters • crab" 1 ■ day" 1 . Mud crabs 
(14—23 mm CW) in groups consumed 0.44 ± 0.09 oyster • 
crab" 1 • day" 1 (Table 1). In contrast to the relationship in 
Figure 3, there was no correlation (P > 0.05) between 
predation rate and predator size for isolated rock crabs 
feeding on attached oysters; however, the relatively larger 
rock crabs held in isolation had a higher overall mean 
predation rate on attached oysters than the smaller rock 
crabs in groups (Table 1). 

No discernable sexual differences existed in prey size 
selection or predation rate for the lobsters and crabs in 
any of the experimental series. The shape of the diet curves 
(Figure 2) for male lobsters (58—62 mm CL) and rock 
crabs (35—45 mm CW) resembled those for similar sized 
female conspecifics (lobsters, 55—63 mm CL; rock crabs. 
32—46 mm CW). Similarly in Figure 3, no significant 
differences existed in mean predation rates between the 
similar sized male and female lobsters (d. 6.93 ± 1 .96 and 9, 
6.22 ± 2.57 oysters • lobster" 1 • day" 1 ; t = 0.23, df = 9, 
P > 0.5) or the similar sized male and female rock crabs 
(d, 0.98 ±0.11 and 9, 1 .47 ± 0.18 oysters • crab" 1 • day"'; 
t = 2.01, df = 10. P >0.05). Differences in mean predation 
rates for male and female crabs feeding on attached oysters 
were not significant (Table 1 ). 

DISCUSSION 

Patterns of destruction of oyster of > 10 mm SL were 
specific for lobsters and rock crabs; therefore, it should be 
possible to identify the predators on oyster beds by 
examining oyster-shell fragments. Opening techniques 
resembling those observed in our study have also been noted 
by Elner and Jamieson (1979) for lobsters and rock crabs 
feeding on Atlantic deep-sea scallops, Placopecten 



Lobster 



6r 



>> 
cs 
Q 



CO 

ID 



C 
0) 

(0 
UJ 

CO 

w 

CD 

CD 

>. 

o 



CD 

n 
E 

3 



C 
CO 

a> 

2 



9 85 -98mm 




I.Oi- 



0.8 



0.6 



0.4 



0.2 



Rock Crab 

9 32-46mm 




cT 94 -107mm 



}->£-• cf 73 -79mm \ 

\\ \ 




i 1 1 1 I 

15 20 25 30 35 

Oyster SL 



Figure 2. Mean daily oyster consumption per predator plotted 
against oyster shell length (SL) for lobster carapace length (CL) and 
rock crab carapace width (CW) size groups. 



Predation on Oysters by Lobsters and Crabs 



133 




2 30 40 50 60 70 80 90 100 110 

S Carapace Length (mm) 



Rock Crab 



IT 



30 



40 



50 



60 70 80 

Carapace Width (mm) 



90 



100 



110 



Figure 3. Individual lobster and rock crab predation rates over the 
entire range of oyster sizes eaten, expressed as mean number (± SE) 
of oysters eaten per day (Y-axis) relative to predator size (X-axis). 



TABLE 1. 

Predation rates of rock crabs and mud crabs 
on oysters (2-9 mm SL) on 
chinese-hat spat collectors. 







Number of 












Oysters Eaten 












♦over 7 days 




Mean Number 


Crab (mm CW) 


Sex 


fover 17 days 


oysters 


. crab . day 




Rock Crabs in Groups* 






34,40,50,50,58 


d 


17 






0.49 


34,38,41,43,45 


6 


24 






0.69 


32,39,46,47,51 


9 


12 






0.34 


38,40,40,41,44 


9 


19 






0.54 


37, 39,41,46,51 


9 


22 






0.63 


32,41,42,43,54 


9 


30 






0.86 


Mean daily predation rate (± SE) = 0.59 


±0.10(d):0.59 ±0.11 (9) 








(t = 


0.02, 


df=4, P>0.5) 


Overall mean daily predation rate (± SE) = 


0.5? 


±0.07 




Isolated Rock Crabsf 






50 


d 


19 






1.12 


58 


6 


21 






1.24 


59 


6 


26 






1.53 


60 


d 


12 






0.71 


74 


6 


4 






0.24 


76 


6 


22 






1.29 


52 


9 


27 






1.59 


52 


9 


53 






3.12 


66 


9 


23 






1.35 


72 


9 


7 






0.41 



Mean daily predation rate (± SE) = 1.02 ±0.19 (d); 1.62 ±0.56 (9) 

(t = 1.16, df = 8, P>0.1) 

Overall mean daily predation rate (±SE) = 1.26 ±0.25 



14, 18, 19, 20. 21 
17. 18, 19, 19,23 
18,18,19,20,21 
16,20,23,23,23 
14, 14, 14, 15, 16 
16,16,17,19, 19 



Mud Crabs in Groups* 

d 10 

d 14 

d 17 

d 27 

9 6 

9 19 



(The regressions are: lobsters, Y = -15.41 + 0.37 X, R 2 = 0.48; Mean daily predation rate (± SE) - 0.49 
rock crabs, Y = 0.35 + 0.02 X, R 2 = 0.29.) 



0.29 
0.40 
0.49 

0.77 
0.17 
0.54 
: 0.10(d), 0.36 ±0.19(9) 
(t= 1.28,df=4,P>0.1) 
Overall mean daily predation rate (± SE) = 0.44 ± 0.09 



magellanicus (Gmelin). Krantz and Chamberlin (1978) 
described six distinct patterns of damage to cultchless 
oyster spat by the blue crab Callinectes sapidus Rathbun; 
three of the destruction patterns (crushed shells of small 
oysters, chipped shell margins, and broken spat attachment 
points) were the same as those observed for the rock crabs. 
Our experiments showed that, notwithstanding predator 
size and the proportionately smaller chelae of the rock crab, 
both lobsters and rock crabs were able to feed over the same 
size range of oysters. Mud crabs, also, appeared to be 
effective predators for their size and were able to open 
attached oysters of 2-9 mm SL at a similar rate to larger 
rock crabs. Overlaps in lobster and rock crab predation on 



deep-sea scallops and green sea urchins (Strongylocentrotus 
droebachiensis 0. F. Miiller) have been documented pre- 
viously (Elner and Jamieson 1979, Elner 1980). Thus, these 
predators would compete for prey whenever they occur 
together. 

Considering our experimental design, where oysters of 
all sizes were available, the largest oysters eaten were 
probably below the absolute maximum size of oyster that 
predators could open, if small oysters were unavailable. 
We believe, however, that our upper limit of 30— 35 mm SL 
is a realistic representation of the largest oyster size eaten 
in the field where alternative prey are always present. All 
lobsters and rock crabs tested were capable of opening 



134 



ELNER AND Lavoie 



oysters of 25—30 mm SL, yet they exhibited preferences 
for oysters in the 10- to 25-mm SL size range (Figure 2). 
The behavior pattern of predators showing preference for 
prey of less than the maximum size they can consume has 
also been observed in the green crab Carcinus maeiias 
(Linneaus) (Elner and Hughes 1978, Hughes and Elner 1979, 
Elner and Raffaelli 1980). Size selection of prey has been 
reported by Elner and Jamieson (1979) and Elner (1980) 
for lobsters and rock crabs preying on deep-sea scallops and 
green sea urchins. Such selection behavior can result from 
the predator making an active behavioral choice based on 
prey value, or a passive, mechanical consequence of prey 
availability and the predator having a set "persistence time" 
proportional to its hunger level (see Hughes [1980] for 
review). Our observations suggest that prey size selection is 
probably a passive, mechanical process. Lobsters and crabs 
attempted to prey on all oysters they encountered but the 
larger predators were clumsy in handling small oysters and 
all predators rejected oysters if they could not break them 
after a series of force applications. Thus, size-selective 
mechanisms tended to shift predation pressure away from 
the small (less easily handled) and large (stronger) oysters 
and toward the preferred size of oysters. Both the active 
behavioral and mechanical paradigms for size selection 
predict that the diet curves should shift to the right as the 
size of the predator increases (Hughes 1980). Although this 
relationship was demonstrated for the rock crab, it was not 
for the lobster. 

Predictions of the impact of a predator on an oyster 
stock based only on prey-selection behavior and predation 
rates observed in the laboratory are not particularly mean- 
ingful. Data on abundance and size frequencies of predators 
and prey, as well as other factors influencing prey selection 
and predation rate, are required before a realistic estimate 



of predation mortality can be made. We believe, however, 
that the small rock crabs and mud crabs, which are 
extremely abundant on the oyster beds and spat collectors, 
kill many more oysters than the more rapacious, but much 
less common, lobsters and large rock crabs. Similarly, 
Whetstone and Eversole (1978, 1981) have suggested that 
Panopeus herbstii Milne-Edwards, a mud crab similar to 
Neopanope sayi, is as important as larger crab species as a 
predator of seed of the northern quahog clam Mercenaria 
mercenaria (Linne) because of its relatively higher 
abundance and predatory capability. Our laboratory results 
support the field observations by MacKenzie (1980) that 
rock crabs and mud crabs cause substantial oyster mortality 
and show that the decapods tested are capable of consuming 
large numbers of oysters, and thus have the potential to 
reduce oyster production. Furthermore, the results show 
that the 30- to 35-mm SL of oysters is a critical size at 
which oysters may be virtually invulnerable to decapod 
predators. 

Culturists growing oysters where crabs and lobsters occur 
should adjust their strategy to protect oyster seed until it 
reaches 30—35 mm SL. Because small crabs can prey on 
oyster spat on collectors, culturists should ensure that the 
collectors are protected from invasion by these crabs. 

ACKNOWLEDGMENTS 

The authors gratefully acknowledge the contributions 
of Messrs. M. DeGrase, R. Daigle, E. Ferguson, and the 
team from the Caraquet Bay Oyster Development Plan. 
Drs. V. S. Kennedy, P. Lawton, R. J. Miller, and D. J. 
Scarratt gave helpful reviews of early drafts of the manu- 
script. Photographs and figures were provided by Messrs F. 
Cunningham and P. W. G. McMullon. 



REFERENCES CITED 



Elner. R. W. 1980. Predation on the sea urchin (Strongylocerttrotus 
droebachiensis) by the American lobster (Homarus americanus) 
and the rock crab (Cancer irroratus). Pringle, J. D., G. J. Sharp, 
and J. F. Caddy, eds. Proceedings of the workshop on the rela- 
tionship between sea urchin grazing and commercial plant/ 
animal harvesting. Can. Tech. Rep. Fish. Aquat. Sci. 954:48-65. 

& R. N. Hughes. 1978. Energy maximization in the diet of 

the shore crab, Carcinus maenas. J. Anim. Ecol. 47:103-116. 

Elner. R. W. & G. S. Jamieson. 1979. Predation of sea scallops, 
Placopecten niagellanicus, by the rock crab, Cancer irroratus, 
and the American lobster, Homarus americanus. J. Fish. Res. 
Board Can. 36:537-543. 

Elner, R. W. & D. G. Raffaelli. 1980. Interactions between two 
marine snails, Littorina rudis Maton and Littorina nigrolineata 
Gray, a predator, Carcinus maenas (L.), and a parasite. Micro- 
phallus similis Jagerskiold. J. Exp. Mar. Biol. Ecol. 43:151-160. 

Ennis, G. P. 1973. Food, feeding and condition of lobsters, Homarus 
americanus, through the seasonal cycle in Bonavista Bay, New- 
foundland. J. Fish. Res. Board Can. 30:1905-1909. 

Galtsoff, P. S. 1964. The American oyster Crassostrea virginica 
Gmelin. U.S. Fish Wildl. Serv. Fish. Bull. 64:1-480. 

Hughes, R. N. 1980. Optimal foraging theory in the marine context. 
Oceanogr. Mar. Biol. Annu. Rev. 18:423-481. 

& R.W. Elner. 1979. Tactics of a predator, Carcinus maenas. 



and morphological responses of the prey, Nucella lapillus. J. 

Anim. Ecol. 48:65-78. 
Krantz, G. E. & J. V. Chamberlin. 1978. Blue crab predation on 

cultchless oyster spat. Proc. Natl. Shellfish. Assoc. 68:38-41. 
MacKenzie, C. L.. Jr. 1981. Biotic potential and environmental 

resistance in the American oyster (Crassostrea virginica) in Long 

Island Sound. Aquaculture 22:229-268. 
McDermott, J. J. 1960. The predation of oysters and barnacles by 

crabs of the family Xanfhidae. Proc. Pa. Acad. Sci. 34:199-211. 
Menzel, R. W. & S. M. Hopkins. 1955. Crabs as predators of oysters 

in Louisiana. Proc. Natl. Shellfish. Assoc. 47:177-184. 
Scarratt, D. J. 1980. The food of lobsters. Pringle. J. D., G. J. 

Sharp, and J. F. Caddy, eds. Proceedings of the workshop on 

the relationship between sea urchin grazing and commercial 

plant/animal harvesting. Can. Tech. Rep. Fish. Aquat. Sci. 

954:66-91. 
& R. Lowe. 1972. Biology of rock crab (Cancer irroratus) 

in Northumberland Strait. /. Fish. Res. Board Can. 29:161-166. 
Whetstone, J. M. & A. G. Eversole. 1978. Predation on hard clams, 

Mercenaria mercenaria, by mud crabs Panopeus herbstii. Proc. 

Natl. Shellfish. Assoc. 68:42-48. 

. 1981. Effects of size and temperature on mud crab. 

Panopeus herbstii, predation on hard clams, Mercenaria 

mercenaria. Estuaries 4:153-156. 



Journal of Shellfish Research, VoL 3, No. 2, 135-140, 1983. 



STUDIES OF SHELL DISEASE OF THE EUROPEAN FLAT OYSTER 
OSTREA EDULIS LINNE IN NOVA SCOTIA 



M. F. LI 1 , R. E. DREMNAN 1 , MICHAEL DREBOT, JR. 2 
AND GARY NEWKIRK 2 

1 Department of Fisheries and Oceans 
Fisheries and Environmental Sciences 
Halifax Laboratory, Halifax 

Nova Scotia, Canada B3J 2S 7 

2 Department of Biology 
Dalhousie University, Halifax 
Nova Scotia, Canada B3H4J2 

ABSTRACT Shell disease was found in the progeny of the European flat oyster Ostrea edulis Linne imported several 
years ago to Nova Scotia. This disease probably accounted for fibrosis in several tissues of affected oysters, but, in general, 
had no serious effect on oyster stocks in Nova Scotia. The marine fungus Ostracoblabe implexa Bornet et Flahalut was 
isolated and cultured from infected shells. Electron microscopy of the organism revealed the fine structure of the ovoid 
enlargements and their morphogenesis under prolonged incubation at 5 C. 

KEY WORDS Oyster, Ostrea edulis, marine fungus, Ostracoblabe implexa, shell disease, oyster pathology. 



INTRODUCTION 

Shell disease of European flat oysters has been known 
for many years, and the general symptoms of this disease 
have been described in detail (Korringa 1951, Alderman and 
Jones 1971b). The causative agent, however, was not 
established until the isolation of Ostracoblabe implexa 
by Alderman and Jones (1971a, b). The first indication of 
shell disease is the development of white spots inside the 
shell. As the invasion of the shell continues with the penetra- 
tion of the growing mycelium, more spots appear which 
coalesce to form white cloudy areas. The perforation of 
the shell by the infestation appears to cause a change in the 
secretions of the mantle of the host animal. The extent of 
conchyolin deposition depends to great extent on the focal 
intensity of the fungal attack within the shell. At the center 
of the infestation the conchyolin tends to be in the form 
of a wartlike excrescence which may be 2 to 4 mm in 
thickness. In severe cases the excrescences become enlarged, 
coalescing into one or more knobs in the muscle base. 
Eventually the area of muscle attachment may become a 
raised boss. This bosslike excrescence is not found outside 
the muscle attachment area and typifies the disease called 
maladie du pied in France. 

The disease was reported in Britain, France, and the 
Netherlands (Sinderman and Rosenfield 1967, Sprague 1971 , 
Alderman 1976). It was first observed in Nova Scotia in 
1975 in experimental stocks of oysters transferred from 
Ellerslie, Prince Edward Island. The stocks resulted from 
the introduction of Dutch stocks from Milford, CT, which 
were bred in quarantine. A later examination of preserved 
shells showed that both the parent stock and the first 
Canadian generation showed symptoms of shell infestation. 
The presumptive involvement of 0. implexa was confirmed 
by D. J. Alderman (Fish Disease Laboratory, Weymouth, 



Dorset, England; personal communication) from examina- 
tion of fresh and preserved shell material and by culture. 

A study of the prevalence of the disease was carried 
out by the Nova Scotia Department of Fisheries in conjunc- 
tion with Dalhousie University, and the Fish Disease and 
Nutrition Section of Fisheries and Environmental Sciences, 
Department of Fisheries and Oceans, in the summer of 
1980. The disease appeared to exist in European flat oysters 
held at Whitehead Harbour and Spanish Ship Bay. This 
report describes the lesions found in the infected oyster 
shells, histopathological changes in the oyster tissues, 
growth and isolation of O. implexa, and fine structure of 
the isolated organism. 

MATERIALS AND METHODS 

Oysters 

Hatchery-produced progeny of imported European flat 
oysters O. edulis were grown on natural beds in Nova Scotia. 
The 1975- to 1979-year classes of the oyster were sampled 
from Whitehead Harbour or Spanish Ship Bay of Nova 
Scotia in May-October of 1980. After gross examination 
of the specimens for typical lesions of shell disease infec- 
tion (Alderman and Jones 1971b), the shells were cleaned 
thoroughly and rinsed repeatedly with sterile seawater, then 
incubated in sterile seawater at 15°C. Some of the shells 
were decalcified with an EDTA solution (Alderman and 
Jones 1971b) or Cal-Ex® (Fisher Scientific Co., Ltd.) for 
examination by phase contrast microscopy to detect the 
infective agent(s) within the shell material. 

Histology 

For histopathological examinations tissues from 20 
oysters were fixed in Davidson's fluid (Shaw and Battle 



135 



136 



Li ET AL. 



1957) embedded in paraffin, sectioned, and stained with 
Harris' hemotoxylin and eosin. Photomicrographs were 
prepared with a Zeiss photomicroscope. 

Growth and Isolation of the Infective Agent 

Fragments of shell with shell disease lesions were incu- 
bated in autoclaved seawater at 15°C for 3 to 4 weeks. The 
growth of fungal colonies was examined periodically. A 
pure culture of the organism was obtained by incubation of 
a small piece of diseased shell in a yeast/peptone medium 
(Alderman and Jones 1971a, b) at 15°C. Identification of 
the organism was based on morphology described by 
Alderman and Jones (1971b) and Alderman (1976, 1980). 

Electron Microscopy 

The isolated organism was harvested from yeast/peptone 
medium by low speed centrifugation. The resulting pellets 
were fixed in 2% glutaraldehyde in phosphate buffer 
(0.1 M, pH 7.0), postfixed in osmium tetroxide, and 
embedded in TAAB® resin (Marivac Ltd., 1872 Garden 
Street, Halifax, NS B3H 3R6, Canada). The ultrathin sec- 
tions were stained with uranyl acetate and lead citrate 
(Dawes 1971) and examined using an Hitachi HS-9 electron 
microscope. 

RESULTS 

Figure 1 A shows white spots coalescing to form a cloudy 
area on an infested shell. A lesion involving wart formation 
through deposition of conchyolin by the oyster mantle is 
shown in Figure IB. Figure 1C shows a heavily infested 
specimen with a large sheet of conchyolin embedded in a 
cloudy area of shell. Examination of several groups of 



oysters indicated that the overall prevalence of this disease 
was approximately 10% (Table 1). 

Most of the infestations were in the early stage of 
lesion development; < 1% of the infested oysters had 
reached the advanced, heavy warting stage. The preva- 
lence was slightly higher in the older oysters than in the 
younger ones (Table 1); however, no seriously damaging 
effect of this disease on the oyster stocks was observed. 

TABLE 1. 

Percentage occurrence of shell disease among 3- and 5-year-old 

oysters during May survey (mixture of oysters from 

Spanish Ship Bay and Whitehead Harbour) and 

July survey (oysters from Spanish Ship Bay). 





Progress of Disease (Stages) 


t 




Age 





1 


2 


3 


Number 


3 years 


1,836 


132 


11 


11 


1,990 




(92.3%)t 


( 6.6%) 


(0.6%) 


(0.6%) 




5 years 


750 


91 


4 


7 


852 




(88.0%) 


(10.7%) 


(0.5%) 


(0.8%) 




Total No. 












of oysters 


2,586 


223 


15 


18 


2,842 


Mean % in 












each class 


91.0% 


7.9% 


0.5% 


0.6% 




5 years 


94 


6 


2 


1 


103 


Mean % in 












each class 


91.3% 


5.8% 


1.9% 


1.0% 





*Stage = no disease; stage 1 = one or more white spots; stage 2 = 

slight warting; stage 3 = heavy warting. 
fPercentages in parentheses indicate percentage occurrence of shell 

disease for oysters in designated year class (Le., 3 or 5 years old). 




Figure 1. Typical shell disease lesions at various stages: 1A, white spots or cloud (•<-); IB, black or brownish conchyolin at center of 
the warts (•*-);!€, large sheet of conchyolin deposited in cloudy area (<-). Bar = 20 mm 



Shell Disease of Ostrea edulis 



137 



In the tissues of 20 infested oysters examined for the 
causative agent and possible histopathological changes, no 
sign of an infective agent was found. Generally there was 
no apparent ill effect caused by the infestation; however, 
development of fibrous tissue was evident in the gill, mantle, 
and digestive tracts of many of the specimens examined 
(Figures 2A and 2B). Fungal mycelia were easily observed 
in the decalcified specimens using phase contrast microscopy. 
Formation of fungal colonies on shell fragments was usually 
observed after a 3- to 4-week incubation of infested material 
in sterile seawater at 15°C (Figure 3). Isolation of a pure 
culture of a fungus was achieved by incubating wart tissue 
in yeast/peptone medium at 15°C. Figure 4A shows the 
mycelia of the isolated fungus which exhibited ovoid 
swelling at frequent, irregular intervals (Alderman and 
Jones 1971b; Alderman 1976, 1980). The incidence and 
size of the ovoid swellings appeared to increase with incuba- 
tion at low temperature (5°C) for an extended period of 
time; some of the swellings appeared as spherical bodies 
(Figure 4B). Figure 5 shows typical O. implexa in a decal- 
cified specimen that had been incubated for 14 days at 
15 C following autoclaving in seawater and inoculation 
with the isolated organism. 

Electron micrographs of the isolated organism are shown 
in Figures 6 and 7. The mycelium contains vacuoles and 
various electron-dense bodies. The organelles, such as 
nucleus, mitochondria, and endoplasmic reticulum, 
appeared to be well developed in the ovoid swellings 
(Figure 6A-6D). When the cultures were incubated at 5°C 
for a prolonged period, proliferation of the endoplasmic 



reticulum was observed, and the formation of a multilayered 
heavy wall often resulted (Figures 7A and 7B). 

DISCUSSION 

The shell lesions of infested oysters found in Nova 
Scotia were typical of the shell disease described in the 
literature (Alderman and Jones 1971b; Alderman 1976, 
1980). The stocks sampled at Whitehead Harbour and 
Spanish Ship Bay were produced in the Pleasant Point 
Hatchery, where the spat and brood stocks were held in 
the same tank during the first summer at an elevated tempera- 
ture. The possibility that the parent stocks carried the 
organism and served as a disease source cannot be ruled out. 

Alderman and Jones (1971b) observed an increase in 
long epithelial cells in mantle tissue of certain heavily 
infested specimens. The fibrous tissue noted in infested 
oysters could be a result of the shell disease infestation 
because an increase in fibrous tissue formation in shellfish 
appears to be a common and nonspecific reaction to 
infestation or inflammation of the host animal (Pauley 1969, 
Sparks et al. 1969, Sparks and Fontaine 1973). The infesta- 
tion by O. implexa did not, however, appear to have any 
serious physiological effect on the host animal, since most 
specimens had well developed gonads and some were 
spawning. Alderman (1980) suggested that levels of shell 
disease infestation are high only where the water tempera- 
ture exceeds 22°C for at least 2 weeks. The ambient water 
temperature in Nova Scotia is generally too cold and, 
therefore, precludes serious shell disease problems in oyster 
stocks. 




2A '___ 



Figure 2. Fibrous tissues of infected oysters: 2A, fibrous tissue 
higher magnification (<-) (bar = 100 /im). 



development in the gill (<-) (bar = 200/Llm); 2B, fibrous tissue at a 



138 



Li ET AL. 




W/ 



Figure 3. Fungal colony (<-) from an infested oyster shell; incubated 
in seawater for 3 weeks at 15 C. 




Figure 4. Cultures of the isolated organism in a yeast/peptone 
medium at 15 C: 4 A, 7-day-old culture (note the ovoid swellings at 
irregular intervals, arrowed); 4B, 4-month-old culture at 5 C (note 
an increase in number and size of the enlargements of the mycelia; 
some are developing into spherical chlamydosporesl^). Bar = 20 p.m 

An outbreak of the foot disease occurred in populations 
of the Pacific oyster Crassostrea gigas (Thurnberg) off the 
Canadian west coast in the fall of 1956 (Quayle 1969). 



The same organism may cause both shell and foot diseases 
(Sinderman and Rosenfield 1967, Sprague 1971). 
Unfortunately, the causative agent of foot disease on the 
west coast was not identified. 

Ostracoblabe implexa was described in relation to shell 
disease of oysters almost a century ago (Bornet and Flahault 
1889), but the isolation was not accomplished until 1971 
by Alderman and Jones (1971a, b). One of the major 
characteristics of the organism is the presence of ovoid or 
spherical swellings in the mycelium (Alderman and Jones 
1971b; Alderman 1976, 1980). Our isolate showed similar 
ovoid enlargements and fine structure of the prochlamydo- 
spore as described in the literature. Our results further 
demonstrated the morphogenesis of the chlamydospore 
during incubation at low temperature. No sexual reproduc- 
tive phase was observed. Ostracoblabe implexa has been 
placed in the phycomycetes but its exact taxonomic 
position remains to be determined. 



'T 



r 



SH 



Figure 5. An experimentally infested oyster shell (SH) incubated in 
seawater for 3 weeks at 15°C. Phase contrast of specimen decalcified 
by Cal-Ex®. Note the typical ovoid swellings (•«-). Bar = 20 flm 



ACKNOWLEDGMENTS 

We thank the Nova Scotia Department of Fisheries for 
funding part of this study at Dalhousie University; Dr. D. J. 
Alderman for his examination of shell samples; Robert 
Zwicker and John Cornick of the Fish Health Unit, Disease 
and Nutrition Section, for supplying some of the oyster 
specimens; Dr. D. Brewer at the Atlantic Research Labora- 
tory of the National Research Council of Canada for his 
constructive discussion of the taxonomic position of the 
isolated organism; Dr. L. E. Haley of Dalhousie University 
and Mr. T. Rowell of Invertebrates and Marine Plants 
Division for reviewing the manuscript and for their criticisms; 
and Ms. Vivian Marryatt for her technical assistance with 
the histological examinations. 



Shell Disease of Ostrea edulis 



139 




, 



4 

ED 







6A 





IW 
OW r 

T 


V 


j 


ED 








M 


er- ^r 






6B ^ 


- 







JDW 




IW 



S 





ER 








* 




aOW 

^iw 




N 










V 




6D 









Figure 6. Electron micrographs of mycelium and prochlamydospores from an isolate grown in a yeast/peptone medium for 7 days at 15 C: 
6A, mycelium containing vacuoles and electron-dense bodies; 6B and 6C, ultrathin sections of prochlamydospores; 6D, cross section of 
prochlamydospores. Note the spores containing inner and outer walls, nucleus, vacuoles, mitochondria, and numerous electron-dense bodies. 
(N, nucleus; OW, outer wall; IW, inner wall; V, vacuole; ED, electron -dense bodies; M, mitochondria; ER, endoplasmic reticulum) Bar = l^lm 



140 



Li ET AL. 






-MW 





- 


7B 


n - »■* 





Figure 7A and 7B. Chlamydospores from a culture which had been incubated at 5 C for 4 weeks. Note the curling arrangements of micro- 
tubules and development of a thick, multilayered wall. (N, nucleus; V, vacuole ;MW, multilayered wall; ER, endoplasmic reticulum) Bar = 1 [lm 



REFERENCES CITED 



Alderman, D. J. 1976. Fungal diseases of marine animals. Jones, 
E. B. G., ed. Recent Advances in Aquatic Mycology. London, 
G.B.: Paul Elek (Scientific Book) Ltd. 749 p. 

. 1980. Shell disease of oysters. Diagnostic summaries of 

diseases of fish, Crustacea and molluscs by working group on 
pathology of marine animals. Int. Counc. Explor. Sea 91-94:00. 

& E. B. G. Jones. 1971a. Physiological requirements of two 



marine Phycomycetes, Althornia crouchil and Ostracoblabe 
implexa. Trans. Br. Mycol. Soc. 57(2):213-225. 
. 1971b. Shell disease of oyster. Fish. Invest. Ser. II Mar. 



Fish. G.B. Minst. Agric. Fish. Food 16(8) :20 p. 
Bornet, E. & C. Flahault. 1889. Sur quelques plantes vivant dans le 

test calcaire des mollusques. Bull. Soc. Bot. Fr. Ser. 2:11 p. 
Dawes, C. J. 1971. Biological Techniques in Electron Microscopy. 

New York, NY: Harper and Row Publishers, Inc. 193 p. 
Korringa. P. 1951. Investigation on shell-disease in the oyster, 

Ostrea edulis L. Rapp. P. B. Reun. Cons. Int. Explor. Mer. 

128(2):50-54. 



Pauley, G. B. 1969. A critical review of neoplasia and tumor-like 

lesions in mollusks. Natl. Cancer Inst. Monogr. 31 :509— 539. 
Quayle, D. B. 1969. Pacific oyster culture in British Columbia. 

Bull. Fish. Res. Board Can. 169:1-193. 
Shaw, B. L. & H. I. Battle. 1957. The gross and microscopic anatomy 

of the digestive tract of the oyster Crassostrea virginica (Gmelin). 

Can.J.Zool. 35:327-347. 
Sindermann, C. J. & A. Rosenfield. 1967. Principle diseases of 

commercially important marine bivalve Mollusca and Crustacea. 

U.S. Fish Wildl. Serv. Fish. Bull. 66:335-385. 
Sparks, A. K. & C. T. Fontaine. 1973. Host responses in white 

shrimp, Penaeus setiferus. to infection by the larval trypanor- 

hynchid cestode, Prochristianella penaei. J. Invertebr. Pathol. 

22:213-219. 
Sparks, A. K., G. B. Pauley & K. K. Chew. 1969. A second 

mesenchymal tumor from a Pacific oyster (Crassostrea gigas). 

Proc. Natl. Shellfish. Assoc. 59:35-39. 
Sprague,V.1971. Disease of oysters./lnn. Rev. Microbiol. 25 : 21 1-230. 



Journal of Shellfish Research, Vol. 3, No. 2, 141-151. 1983. 



THE ORIGIN AND EXTENT OF OYSTER REEFS IN 
THE JAMES RIVER, VIRGINIA 1 



DEXTER S. HAVEN AND JAMES P. WHITCOMB 

Virginia Institute of Marine Science 
and School of Marine Science 
The College of William and Mary 
Gloucester Point, Virginia 23062 



ABSTRACT The public oyster grounds (Baylor Survey Grounds) in the James River, VA. were studied with respect to 
bottom type and oyster density from 1978 to 1981. Approximately 10,118 ha (25,000 acres) were investigated using an 
electronic positioning system to establish station locations. Bottom types were determined using probing pipes, patent 
tongs, and an acoustical device. About 17.1% of the bottom was classified as consolidated oyster reef, and 47.5% was 
moderately productive mud-shell or sand-shell bottoms. The remaining 35.4% was rated as unsuitable for oyster culture. 
The surface configuration of oyster reef areas in the James River is similar to those in coastal lagoons along the Gulf of 
Mexico. They are thought to have developed in the James River as they did in the Gulf of Mexico area as sea level rose 
during the Holocene Period. 

KEY WORDS 



INTRODUCTION 

The naturally productive oyster-growing areas in Virginia 
were surveyed and set aside for public use in 1 894 by Lt. J. B. 
Baylor (Baylor 1894) and since then have been designated 
as Baylor Grounds. Statewide, they comprise about 98,324 ha 
(243,000 acres) with 10,118 ha (25,000 acres) located in 
the James River, VA (Haven et al. 1981a). The Baylor 
Survey outlined only broad areas of naturally productive 
bottoms and did not delineate nor quantify the size or 
shape of individual oyster reefs. Consequently, many unpro- 
ductive areas (mud and sand bottoms) were included within 
the bounds of the survey (Moore 1911, Loosanoff 1931, 
Haven et al. 1981a). 

This paper describes and quantifies the seed-oyster 
producing regions in James River, VA, within the bounds of 
the public (Baylor Survey) oyster grounds. It is a portion of 
a much larger investigation which evaluated the suitability 
for oyster culture of nearly all public oyster grounds in 
Virginia (Haven et al. 1981b). The area studied, divided 
into five zones, is shown in Figures 1 and 2. 

Prior to this study there were only two attempts to 
quantify productive and nonproductive areas within the 
Baylor Grounds. The first was conducted in 1910 using a 
chain drag, hand tongs, and a lead line to outline bottom 
types and quantify oyster density (Moore 1911). Positions 
were established by sextant bearings and about 10,440 
soundings were taken. A second study was conducted 
between 1973 and 1976 which demonstrated significant 
changes in oyster density along seven corridors in the James 
River, but the area of the various bottom types were not 
determined (Loesch et al. 1975). 

Contribution No. 1199 from the Virginia Institute of Marine Sci- 
ence, The College of William and Mary, Gloucester Point, VA 23062. 



The James River has been and continues to be of major 
importance to the oyster industry in Virginia. Oysters set 
and survive well there but growth is slow and meat quality 
is typically poor (Loosanoff 1931, Haven et al. 1981b). 
Since the mid-1 800's, small oysters of less than 7.6 cm 
(3 in.) in length (termed seed oysters) have been harvested 
from the river and transplanted to other areas where 
growth and meat quality improved. In the past 50 years, 
an estimated 75% or more of the seed oysters planted in 
Virginia by private interests on leased bottoms came from 
the James River (Haven et al. 1981b). 

From about 1920 to 1945 annual seed-oyster production 
in the James River averaged about 1,675,000 Virginia 
bushels (82,346 m 3 ) (Marshall 1954), and from 1946 to 
1961 it averaged between 1.5 to 2.5 million (73,800 to 
123,000 m 3 ). Between 1961 and 1981, however, yearly 
production fell drastically and in that period it fluctuated 
between 250.000 and 550,000 bushels (12,300 and 
27,075 m 3 ) (Haven et al. 1981b). 

The decline in landings has been associated in part with 
a decline in demand for seed oysters because of the impact 
of the oyster pathogen Haplosporidium nelsoni (Haskin, 
Stauber and Makin), commonly called MSX, on adult popu- 
lations growing in high salinity waters (Haskin et al. 1966. 
Andrews 1968). An additional cause of the decline in seed 
production was the low demand for seed resulting from 
unfavorable economic conditions such as high growing 
costs and an unstable market for the final product (Haven 
et al. 1981b). Accompanying the decline in landings was a 
decline in spatfall intensity which was most severe in the 
lower half of the seed area (Haven et al. 1981b, Andrews 
1982) (Table 1). The cause of this latter decline has not yet 
been adequately explained. The James River, like most of 
Chesapeake Bay, has in the past three decades experienced 



141 



142 



Haven and Whitcomb 



LAWNES PT 



JAMES RIVER 




BLUNT PT. 
*\ V 



Figure 1. Oyster reefs and other bottom types in the James River, VA. Shown are areas I, II, and III separated by the clear lines and transects 
A, B, C, and D. Mud bottoms within the bounds of the Baylor areas are unstippled. 



Origin and Extent of Oyster Reefs in James River 



143 




Meters 



Nautical Mile 



f.:: : .;-::"j Shell and Mud 
Sondand Shell 



IOOO 



Boylor Line 



Figure 2. Oyster reefs and other bottom types in the James River, VA. Shown are areas IV and V separated by the 
clear lines. Mud bottoms within the bounds of the Baylor areas are unstippled. 



144 



Haven and Whitcomb 



increased levels of nutrient enrichment, toxic chemicals, 
sedimentation, and other human alterations (Haven et al. 
1981b), all of which may have affected setting of spat. 

TABLE 1. 

Mean spatfall per Virginia bushel of bottom substrate 
at representative locations from 1947 to 1980.* 









Point 


Deep Water 


Period 


Brown Shoals 


Wreck Shoals 


of Shoals 


Shoals 


1947-1950 


718 


1901 


385 


1744 


1951-1955 


1030 


1945 


336 


872 


1956-1960 


412 


995 


— 


468 


1961-1965 


94 


298 


135 


113 


1966-1970 


27 


88 


249 


334 


1971-1975 


46 


167 


82 


49 


1976-1980 


43 


199 


169 


534 



*1947-1965 data from Andrews (1982). 

Hydrography of the James River 

The hydrography of the James River has been the subject 
of several major studies but many details are still poorly 
understood. Basically, it is a partially mixed tidal estuary 
(Pritchard 1953, Nichols 1972b); recent studies suggest it 
may undergo a cyclic stratification-destratification process 
related to the neap and spring tidal cycles (Haas 1977). 

Published information on salinity from 1949 to 1961 at 
Deep Water Shoals showed a range from about 2 to 10 ppt, 
at Wreck Shoals from 7 to 14.5 ppt, at Newport News Point 
from 12.5 to 18.5 ppt, and at Nansemond Ridge from 13.5 
to 19.5 ppt (Table 2). Additional data for all stations 
from 1963 to 1981 showed a similar range (VIMS unpub- 
lished). Freshets occur at irregular intervals in this estuary 
and 0.0 ppt has been recorded as far downriver as Wreck 
Shoals (Andrews et al. 1959, Haven et al. 1976). Salinities 
of 0.0 ppt commonly occur at Deep Water Shoals where 
oysters are frequently killed by fresh water in the spring 
of the year (Andrews et al. 1959). 

TABLE 2. 

Mean salinities (in ppt) in the James River, VA, 
from 1949 to 1961.* 

Stations 



Season 



Deep Water 

Shoals Wreck Shoals 



Newport News 
Point 



Nansemond 
Ridge 



Spring 


2.0 


7.0 


12.5 


13.5 


Summer 


10.0 


14.0 


17.5 


18.5 


Fall 


5.0 


14.5 


18.5 


19.5 


Winter 


— 


13.0 


16.0 


16.5 



*Adapted from Stroup and Lynn (1963). 

The natural channel in the lower James River lies close 
to the north shore, near Newport News Point, and toward 
the south shore in the Burwell Bay area. In the upper 



estuary near Deep Water Shoals, it is near the center of the 
river. Rocklanding Shoals Channel was cut through the 
northern edge of the seed areas and its depth in 1976 was 
7.6 m (25 ft) (Figure 1 ). 

The names of individual seed areas in the James River 
have remained virtually unchanged for over 100 years. 
For example, the oyster reef known as Deep Water Shoal, 
marks the upriver limit of commercial production and 
Nansemond Ridge is the lower limit (Figures 1 and 2). 
These names can only be used to designate the general 
location of a seed-producing area because one area grades 
imperceptibly into another. 

MATERIALS AND METHODS 

The criterion for defining the naturally productive areas 
is based on one aspect that is considered of major impor- 
tance. The naturally productive areas in the James River 
(those having oysters or shells) have existed in nearly the 
same location since 1854 (Moore 1911. Marshall 1954). 
Moreover, as will be discussed later, many probably existed 
in the same approximate location for much longer periods 
as was determined for Gulf of Mexico oyster beds (Bouma 
1976). This study was designed to detect shells or living 
oysters in or on the bottom. Their presence was indicative 
of productive or previously productive bottoms. 

The survey vessel was navigated at a speed of about 
5.5 km-h -1 (3 knots) within the bounds of Baylor Grounds 
along a series of transects which were delineated using the 
Raydist® (manufactured by Teledyne Hastings Corp., 
Hampton, VA) electronic positioning grid system with a 
precision of ± 2 m. While traversing these transects, the 
bottom was probed with a 2.5-cm diameter copper pipe 
every 60 to 90 m to determine bottom type. The probing 
interval was decreased when the bottom type changed 
rapidly. Transects were usually about 183 m apart. Studies 
on bottom types were completed during 1979; sampling 
for oyster density was carried out in 1981. 

The presence or absence of shells and/ or oysters between 
probe stations was monitored continuously with an under- 
water microphone mounted in a steel frame and dragged on 
a cable about 37 m behind the vessel. The sounds made by 
the microphone bouncing over shells or oysters or sliding 
over sand or mud were amplified and broadcasted. The 
intensity and frequency of the sounds and the percentage 
of time the microphone was impacting on shells or oysters 
or other bottom types between stations were recorded by 
the operator (Haven et al. 1979). Depths were monitored 
continuously with a recording fathometer. These latter 
readings were used to reconstruct four longitudinal profiles 
across various bottom types. 

For each station, Raydist® coordinates, coded informa- 
tion on bottom types obtained with the probe, acoustic 
information, and depths were recorded on tape using a 
Teledyne/Hastings printer. Later, the data on the printed 
tape were plotted on a series of 1:10,000 charts The 



Origin and Extent of Oyster Reefs in James River 



145 



charts showed latitude and longitude. 1.8- and 5.5-m (6- 
and 18-ft) depth contours, outlines of the shorelines, out- 
lines of the Baylor Grounds, and information on bottom 
types. Subsequently, the boundaries of the various bottom 
types were outlined on the charts. Areas of various bottom 
types were determined with a digitizing planimeter. 
The following bottom types were described: 

Oyster reef: firm bottom, probe penetrated to 5 cm. Shells 
and oysters were typically abundant. Shells or oysters were 
detected using the microphone from 75 to 1007© of the time 
between the probe stations. 

Sand-shell: The firm bottom consisted largely of unconsoli- 
dated shell; probe operator detected the gritty texture of 
sand. Shells or oysters were detected using the microphone 
from 25 to 75% of the time. 

Mud-shell: The probe operator detected a moderately firm 
crust over a soft bottom. The probe, after penetrating the 
crust, could be thrust at least 0.2 to 0.6 m further into the 
bottom. Unconsolidated shells or live oysters were usually 
detected using the microphone from 25 to 75% of the time 
between stations. 

Mud: On these soft bottoms the probe could often be 
pushed almost 1 m into the bottom with little effort. They 
consisted largely of mixtures of silts and clays with some 
sand (Nichols 1972a). Shells and oysters were usually absent, 
or very few as determined using the microphone. 
Sand: These were firm bottoms, and the probe typically did 
not penetrate more than 2 cm. Few shells or oysters were 
detected using the probe or underwater microphone. Probe 
operator detected gritty texture of sand. 

After the bottom types were outlined on charts, the 
bottoms in Areas II and III (Figure 1) were sampled with 
hydraulically operated patent tongs. Each tonggrab sampled 
an area of 0.68 m 2 (7.29 ft 2 ) and penetrated the bottom 
about 10 cm on oyster reef and 30.5 cm on mud bottoms; 
each sample consisted of at least one-half of a Virginia 
bushel (one Virginia bushel = 0.05 m 3 ). A total of 476 
sampling stations were randomly chosen along transects 
defined using the Raydist® system. Data from each grab 
were recorded as follows: numbers and volumes (in U.S. 
quarts where 1 quart = 0.91 liter) of oysters exclusive 
the current year's spat, volume in quarts of shells and 
fragments, and estimates of the percentage of unburied 
shell as identified by the presence of fouling organisms. 
These data were used to calculate oyster density (number • 
m ) and the percentage of each grab that was composed 
of shells and shell fragments. 

A preliminary analysis of data on oyster density indi- 
cated a skewed distribution with a high percentage of zero 
values; therefore, densities were analyzed for possible 
significant differences in modal values using the Mann- 
Whitney test for nonparametric data (Sokal and Rohlf 1981). 
Oyster distribution obtained in this study was compared to 
distribution found in 1910 by Moore (1911 ). 



National Oceanic and Atmospheric Administration 
(NOAA) charts 12248 and 12222 (1:40.000) were used in 
this study to outline depth contours and shorelines. Because 
these charts show depths in feet and distances in nautical 
miles, these same units are used to delineate depth contours 
and distances shown in the illustrations and in some of the 
tabular material. In the text the following conversions are 
used: the standard 6- and 18-ft contour depths are 1.8 and 
5.5 m, respectively. One nautical mile (6,000 ft) is equal 
to 1.83 km. 



RESULTS 



Reef Areas 



Areas classified as oyster reef show distinctive outlines in 
different parts of the estuary. In Area I six small reefs 
existing near the channel are generally elongate and parallel 
to the axis of the estuary and to the currents. They occur 
at depths ranging from 1.8 m to more than 5.5 m (Figure 1). 

Area II is characterized by larger oyster reefs, most of 
which differ in shape from those in Area I (Figure 1). On 
the northeastern side of Rocklanding Channel, they begin 
about 1 .4 km offshore (beyond the 1 .8-m contour) and 
extend to Rocklanding Channel. Many are extensive and 
appear to be oriented parallel to the current and the axis of 
the river. Usually, however, there is an almost equal 
component oriented at right angles to the shore and the 
current. A similar type of orientation exists on the exten- 
sive reef area along the southwestern side of Rocklanding 
Channel. There the reefs extend to the south for a maxi- 
mum distance of about 3.7 km, at depths ranging from 1.8 
to 5.5 m (Figure 1 ). 

The oyster reefs in Area III are among the most produc- 
tive in James River, and Rocklanding Shoal Channel passes 
through the center of this area. On the northeastern side of 
the natural channel (off Lands End) between the 1.8- and 
5.5-m contour intervals, the oyster reef areas form well 
defined and approximately parallel rows which are approxi- 
mately at right angles to the axis of the river (and current). 
Frequently, a reef ends as an isolated series of small reefs 
still in line with the larger one. On the southwestern side of 
the estuary in Area III, the oyster reefs are irregular in 
outline but the trend appears to be parallel to the channel 
as in Area I. Many are located at depths of less than 1 .8 m. 
This is in contrast to the distribution noted on the north- 
eastern side where most occur between the 1.8- to 5.5-m 
contour lines (Figure 1 ). 

In Area IV on the northeastern side of the natural 
channel, which varies in depth from about 7.3 to 15.8 m, 
irregularly shaped reefs occur between the 1.8- and 5.5-m 
contours (Figure 2). Here, in contrast to the upriver areas, 
there is no apparent orientation with respect to the axis of 
the river (Figure 2). On the southwestern side, the depths 
of the reef areas differ from those on the opposite side 
because they exist primarily in less than 1.8 m of water. 



146 



Haven and Whitcomb 



They are, however, similar in that they have no apparent 
orientation. 

Oyster reefs in Area V (Figure 2) are usually small and 
scattered and are oriented at right angles to the axis of the 
river and are, therefore, similar in this respect to those in 
Areas I and II. Moreover, they are usually at depths less 
than 1.8 m as are most reefs on the southwestern side of 
this estuary. 

Other Bottom Types 

In Areas I through IV, sand-shell bottoms generally occur 
inshore of oyster reef areas and often extend into the 
inshore margin of Baylor Grounds; in Area V, where sand- 
shell bottoms are scarce, they occur largely between the 
reefs. Areas of mud-shell are the most extensive bottom 
type in Areas II, III and IV and they occur offshore of 
sand-shell bottoms. Oyster reefs in all zones are usually 
surrounded by this type of bottom. 

Sand bottoms are not common in the James River 
Baylor Grounds; when they do occur, they are generally 
located inshore of sand-shell areas. Mud bottoms are 
extensive and occur in all five segments as large irregular 
zones between shelled areas and in the deeper channels 
(Figures 1 and 2). 

Acreage of Subaqueous Bottom Types 

Mud-shell bottoms were the most extensive and totaled 
29.8% (3,030 ha) of the Baylor Grounds surveyed 
(10,178 ha). Oyster reefs and sand-shell are about equally 
abundant and comprise 17.1% and 17.7% (1, 744 and 
1,800 ha), respectively, of the total area. Therefore, about 
64.6% (or 6,574 ha) of the Baylor Grounds in the James 
River can be classified as productive or potentially produc- 
tive (Table 3). 

The nonproductive mud, sand, and buried-shell bottoms 
make up 35.4% (3,604 ha) of the total 10,178-ha area. 
These latter types have little, if any, potential for oyster 
culture. 

Oyster and Shell Densities 

Patent-tong sampling showed a wide variation in oyster 



density on the various types of bottom. This was expected 
because a previous study during 1973 and 1974 showed 
that oyster distribution in the James River was typically 
noncontiguous (Loesch et al. 1975). The present study 
showed that oyster densities on all bottom types ranged 
from to 274 oysters*rrf 2 (Table 4). Oyster-reef bottoms 
had the highest mean density and ranged from a mean of 
34.8'irf 2 in Area II to 28.0'irf 2 in Area III. Sand-shell and 
mud-shell bottoms supported about 50 to 75% fewer 
oysters. No oysters were recovered in eight samples taken in 
Area II on mud and sand bottoms. On similar substrates in 
Area III, oyster densities ranged from 2.2 to 10.7-irf 2 . This 
latter value, discussed later, seems atypical. 

A statistical analysis using the Mann-Whitney test for 
nonparametric data (Sokal and Rohlf 1981) showed that 
the modal grouping for oyster density (Table 4) on oyster- 
reef areas was significantly higher than for mud-shell and 
sand-shell bottoms in Area II (Table 5). Mud-shell bottoms 
have a significantly higher modal grouping than sand-shell. 
No oysters were found on sand or mud bottoms (Table 4). 

In Area III, oyster-reef bottoms have a modal grouping 
of oyster densities higher than all bottom types tested 
(Table 5). Sand-shell bottoms were significantly higher 
than mud-shell, and both have a modal grouping higher 
than sand. Mud bottoms seemed to show anomalous situa- 
tions because oyster densities were higher than those found 
for sand-shell bottoms. A possible reason for this will be 
covered in the Discussion section. 

Analysis of the patent-tong data showed that bottoms 
classified as oyster reef (on the basis of data obtained using 
a probe and sonic gear) also contained the highest content 
of shell material. In Areas II and III, shells and fragments 
averaged from 42.8 to 33.9%, by volume, respectively, of 
the grab's content. The high shell content and high values 
for oyster density are responsible for the firmness of 
bottoms classified as oyster reef. In addition, almost half 
of the shell material on oyster reef bottoms was surface 
shell which was exposed to the flow of the current 
(Table 6). 

Bottoms that were classified as mud-shell or sand-shell 
in Areas II and III differed from oyster reef bottoms 



TABLE 3. 
Areas of various types of bottom in the James River, VA, expressed as hectares and as percent of total in each of the subareas (I-V). 





Total Area (ha) 


Size of Each Bottom Type (% Total) in Each Subarea 


Percent Total 




Bottom Type 


ItoV 


I 


II 


III 


IV 


V 


All Areas 




Oyster Reef 


1,744 


5.1 


28.0 


14.1 


28.5 


2.8 


17.1 ) 




Sand-Shell 


1,800 


35.8 


22.6 


16.5 


5.5 


19.9 


17.7 


64.6 


Mud-Shell 


3,030 


14.5 


29.7 


33.5 


31.3 


23.7 


29.8 j 




Sand 


623 


11.6 


4.6 


6.2 


1.5 


10.5 


6.1 | 




Soft Mud 


2,811 


33.0 


15.1 


29.7 


32.8 


34.8 


27.6 


35.4 


Buried Shell 


170 








< 0.1 


0.4 


8.3 


1.7 j 




Total hectares 


10,178 


298 


2533 


3903 


1466 


1978 







Origin and Extent of Oyster Reefs in James River 



147 



because they had smaller volumes of shell material and 
lower percentages of surface shell; they were less consoli- 
dated and more scattered. 



TABLE 4. 

Density of oysters collected with patent tongs in 
the James Rivei seed area.* 



Area II 



Area III 



Bottom Types 


N Mean 


Range 


N 


Mean 


Range 


Oyster Reef 


19 34.82 


to 165.76 


66 


27.98 


to 273.81 


Sand-Shell 


27 9.0 


to 109.52 


63 


6.48 


to 35.52 


Mud-Shell 


19 13.40 


Oto 118.90 


188 


5.75 


to 59.20 


Sand 


4 




21 


2.18 


to 41.44 


Mud 


4 




73 


10.72 


to 112.48 



*From Statistical Summary of Means and Range ( 1 98 1 ). 



TABLE 5. 

A statistical comparison using the Mann-Whitney test of modal 

grouping of oyster density (m ) in Areas II and HI in the 

James River, VA. (Mean values for numbers of oysters 

per m are shown in Table 3.) 



Bottom Type 



Levels of Significance 



Oyster reef versus 

mud-shell 
Oyster reef versus 

sand-shell 
Mud-shell versus 

sand-shell 



Oyster reef versus 

mud-shell 
Oyster reef versus 

sand-shell 
Oyster reef versus 

sand 
Mud-shell versus 

sand-shell 
Mud-shell versus 

sand 
Sand-shell versus 

mud 
Mud versus sand 
Mud-shell versus mud 



Area II 

Difference significant at 0.25 >P >0.01 

Difference significant at 0.01 >P >0.001 
Difference significant at P = 0.01 

Area III 
Difference significant at P < 0.001 

Difference signfiicant at P < 0.001 

Difference significant at P <C 0.001 

Difference significant at 0.01 >P >0.001 

Difference significant at 0.05 >P >0.02 

Difference significant at 0.01 >P > 0.001 

Not significant at P = 0.10 
Not significant at P = 0.10 



Transects 

Elevations and slopes were studied across the oyster 
reefs, or shoals, on four transects in the area near Point of 
Shoals Light (Figures 1 and 3). Those transects crossed 
productive oyster reefs such as Wreck Shoal and Point of 
Shoals. The overall slope from the channel to the sandy 
margins along the shore ranges from about 0.04 to 0.1 1 m 
(0.13 to 0.35 ft) vertically for each 30.5 m (100 ft) 



horizontal distance (slopes: 1:769 to 1:286, respectively). 
Frequently, the elevation of the bottom from a nonproduc- 
tive slough to a productive shelled area was less than 0.30 m 
(1 ft) vertically for every 30.5 m (100 ft) horizontally. 
Very steep slopes occur adjacent to the channel or mud 
sloughs where they join productive oyster-reef or mud-shell 
substrates. These sharp slopes may be as large as4.6m(15 ft) 
vertically in 30.5 m (100 ft) horizontally (a slope of 1 :6.7). 
Sand-shell bottoms occur as flat areas and are usually near 
the shore. 

DISCUSSION 

Samples obtained with patent tongs in Areas II and III 
confirmed observations made using a bottom probe, acoustic 
gear, and fathometer. Oyster reef bottoms had higher 
densities of oysters and shell material. Sand-shell and 
mud-shell bottoms had lower densities of oysters and shells. 
Sand bottoms seldom contained shells or oysters. Mud 
bottoms, while definitely soft, sometimes contained signifi- 
cant numbers of oysters. 

The surface outlines of oyster reefs in the James River 
may be separated into four types which closely resemble 
those that occur in lagoonal systems of the Gulf of Mexico 
(Graves 1905, Hedgpeth 1953, Price 1954, Scott 1968, 
Bouma 1976). The longitudinal type, for example, is repre- 
sented in the James River by those shown on Area I where 
tidal currents are rapid over shoal bottoms. The large 
irregular type is common throughout the estuary and has 
two components; one is at a right angle to the axis of the 
river and a second is parallel to the axis (Area II). A third 
type, termed a transverse reef, is long and lies at right 
angles to the current as seen in Area II off Lands End 
(Figure 1). The last type, without any obvious shape, is 
termed a pancake reef (Scott 1968); these are common in 
Area V (Figure 2). 

While those bottoms that were classified as sand-shell 
and mud-shell in the James River support live oysters and 
are moderately productive, we do not believe them to be 
long-term features of the estuary at specific locations as 
are oyster reef areas. This concept was originally discussed 
by Moore (1911) who stated that the boundaries of the 
highly productive areas in the James River seed area, which 
approximate our oyster reef classification, were originally 
sharply marked and separated from the barren (mud or 
sand) bottoms. Moore (1911) speculated that operations by 
man (harvesting activities and culling of the catch) over the 
years were responsible for scattering shells and oysters 
between the reefs and onto otherwise barren bottoms. The 
atypical value of 10.7 oysters*m~ 2 on mud bottoms shown 
for Area III (Table 4) probably resulted from this activity. 

Oysters do not grow or survive well on sand and mud 
bottoms because of several physical factors. Mud bottoms 
in the James River are areas of active sedimentation (Nichols 
1972a); in that environment, oysters may be covered with 
sediment faster than they can grow (MacKenzie 1983). 



148 



Haven and Whitcomb 



TABLE 6. 

Number of oysters per m , exclusive of 1979 spat set, and amounts of surface and buried shells on 
five bottom types in the James River, VA (August 1979). 



Bottom Type Number Sampled Mean Number • m 



Percent Shell 



Percent Surface Shell 



Percent of Sample 
with Surface Shell 



Area II 



Oyster reef 


19 


Sand-shell 


27 


Mud-shell 


19 


Sand 


4 


Mud 


4 


Oyster reef 


66 


Sand-shell 


63 


Mud-shell 


188 


Sand 


21 


Mud 


73 



34.8 


42.8 


9.0 


23.1 


13.4 


16.0 


0.0 


12.0 


0.0 


5.1 




Area III 


27.98 


33.9 


6.48 


23.1 


5.75 


11.8 


2.18 


9.9 


10.72 


6.8 



47.7 

16.1 

17.9 

0.0 

0.0 

41.8 

25.0 

13.2 

8.1 

8.5 





94.7 




48.1 




36.8 




0.0 




0.0 




90.1 




81.0 




41.0 




9.0 




8.0 


■ 


ROCK 


■ 


MUD-SHELL 


M 


SAND-SHELL 


□ 


SAND 


□ 


MUD 



CHANNEL 





10 
20 
30- 



DAYS PT SHOAL 

D 



WRECK SHOAL 




r 





1 1 ' ' 

10,000 
DISTANCE IN FEET 



-. 1 1 1 " 1 1 

15,000 20,000 



~i 1 1 1 1 1 1 r 

5000 



Figure 3. Longitudinal profile of various oyster bottom types along transects A, B, C and D (see Figures 1 and 2). 



Origin and Extent of Oyster Reefs in James River 



149 



Sand bottoms, while firm, offer an unstable, shifting 
substrate and sand grains are abrasive and difficult to void 
from the mantle cavity when washed in by wave or current 
forces. We speculate that conditions for recruitment and 
growth on mud-shell or sand-shell areas may often be 
marginal or they may fluctuate to a greater degree than 
oyster reef areas. 

The extent and depth of buried oyster shell deposits 
below the reefs in the James River are not known; however, 
about 2.0 X 10 6 m 3 of buried oyster shells were dredged 
commercially between 1963 and 1969 from the southern 
side of this estuary approximately 6 km southwest of 
Newport News Point (Figure 2) (Va. Comm. Fish. Rept. 
1969, Haven et al. 1981b). An early study of lagoonal 
systems in the Gulf of Mexico showed that exposed oyster 
reefs often extended down into the sediments for at least 
2.7 m (Norris 1953). Later Bouma (1976), working in the 
same area, related reef oyster formation to the world-wide 
rise in sea level during the Holocene Period (Emery and 
Uchupi 1972). He concluded that most of the present-day 
oyster reefs in San Antonio Bay exist on top of old reefs 
that started to grow about 9.000 years ago in the former 
river cuts incised in late Pleistocene deposits as the sea level 
began to rise. He demonstrated that shell deposits extended 
as deep as 21 m (69 ft) below the sediment surface and his 
14(- data showed ages of buried shell from 1,500 to 9,000 
years. Bouma (1976) also stated that many surface reefs were 
probably connected or adjacent to buried shell deposits. 

The James River Basin and Gulf of Mexico areas 
experienced the same rise in sea level during the Holocene 
Period. In relation to this event, the James River Basin 
flooded with seawater between 9,000 and 6,500 years ago. 
The original flooding occurred along the axis of the river as 
defined by the deeper channels that today range in depth 
from 8 to 29 m (Nichols 1972a). The sea level has increased 
about 0.6 m in the James River between 1854 and 1954. 

It has yet to be determined how far oyster reefs extend 
into bottom sediments in the study area; however, on the 
basis of similarity in shape of oyster reefs in the James 
River and Gulf of Mexico areas and the similar geological 
histories, we speculate that oyster reefs in the river are 
underlain with shell deposits of varying thickness and that 
the reefs evolved as they did in the Gulf areas from old 
shore or bottom features as sea level rose. 

There have been slow changes in water depth over 
oyster reefs in the James River over the last century. 
Marshall (1954), using depth data from U.S. Hydrographic 
charts from 1854-55 to 1943-48, stated that considerable 
variations existed in the physiographic changes in the 
surfaces of the seed beds (tops of the oyster reefs) during 
that period. At most points depth comparisons over the 
100-year period, after allowing for the increase in sea level, 
indicated a decline in elevation of about 0.18 m (0.6 ft). 
He speculated that this decline was the net effect of both 
natural phenomena and fishery activities. 



Our data, when compared with those obtained by Moore 
in 1910 (Moore 1911), suggest no major differences in 
oyster density in 1911 and 1981. Moore reported oyster 
densities for about 590 locations in the seed area and used 
them to separate bottoms into five classes (Table 7). Those 
classifications were a combination of numerical data on 
oyster density coupled with Moore's concept of how many 
oysters a waterman needed to harvest during a 9-hr day at 
the former price of $0.20 to $0.30/bu for seed and $0.45/bu 
for market oysters. Certain of his categories are still valid. 
Moore's barren category is comparable to our mud or sand 
classifications; both have a very low potential for growing 
oysters. Moore's dense growth is equivalent to our oyster 
reef classification, and our definition of productive bottoms 
(oyster reefs and mud-shell or sand-shell bottoms) is com- 
parable to Moore's dense, scattered, very scattered and 
depleted categories (Table 7). 



TABLE 7. 
Classification of oyster bottoms in the James River, VA.* 





Oyster Harvest in Virginia Bushels 
by a Tonger in a 9-hour Day 


Oyster Density 


Seed Oysters 


Market Oysters 


Barren (no shell or oysters) 

Depleted 

Very scattering (scattered) 

Scattering (scattered) 

Dense 


9 

4 
4- 8 
8-12 
12 


9 

3 
3-5 
5-8 

8 



"Classification from Moore (1911). 



Using the preceding categories, the following comparisons 
are made (Table 8). In 1910 (Moore 1911), mean oyster 
densities on dense bottoms ranged from 26.9 to 35.4 oysters- 
m" 2 in Area II. In contrast, our randomly collected reef 
samples in 1981 showeda similar density of 34.8-nT 2 . Mean 
oyster densities on scattered to depleted bottoms in Moore's 
study (1911) ranged from nearly zero to a maximum of 
20.2 -m~ 2 while mean densities for comparable bottom 
types in 1981 ranged from 9.0 to 13.4*m" 2 . In Area III, 
three stations in Moore's study ranged in density from 
32.9 to 57.0-m~ 2 ; our mean density for oyster reefs in 
the same general area was 28.0ttT 2 . Mean densities in areas 
of scattered to depleted bottoms ranged from zero to 
33.1 -nf 2 in the early 1900's; our density data showed a 
mean range of 2.2 to 10.7-irf 2 (Table 7). The overall 
similarities in density for dense and reef bottom types 
were unexpected because of the decline in setting intensity 
in the James River that began in 1960 (Haven et al. 1981b). 
We speculate that, in 1910. the intense harvest may have 
depleted the beds to low levels, even when oysters were 
setting at a much higher rate. 



150 



Haven and Whitcomb 



TABLE 8. 
Mean densities of oysters on various bottom types in the James River, VA, 1910- 1981. (Locations shown in Figure 1.) 





1910 (Moore 1911) 




2 




1981 (Present Study) 




Oyster Reefs 


Growth Type 


Oysters/m 


Location 


Substrate 


Oysters/m 2 








Area 11 








Horse Head 


Dense 
Scattering 
Very Scattering 
Depleted 


35.4 

15.4 

20.2 

0.1 




Horse Head to 
Point of Shoals 


Oyster reef 
Sand-shell 
Mud- shell 
Sand 
Mud 


34.8 
9.0 

13.4 




Point of Shoals 


Dense 

Scattering 
Very Scattering 
Depleted 


26.9 
13.1 

5.5 
2.0 
















Area III 








Wreck Shoals 


Dense 

Scattering 
Very Scattering 
Depleted 


48.6 








Wreck Shoals to 
Thomas Rock 


Oyster reef 
Sand-shell 
Mud- shell 
Sand 
Mud 


28.0 

6.5 

5.8 

2.2 

10.7 


White Shoal 


Dense 
Scattering 
Very Scattering 
Depleted 


57.0 


10.3 

9.1 










Thomas Rock 


Dense 
Scattering 
Very Scattering 
Depleted 


32.9 
33.1 
22.4 
15.4 











Further inspection of Moore's data reveals that the 
present productive areas in the James River are in the 
same approximate area as they were in 1910; however, 
the areas of productive and potentially productive bottoms 
may have increased since 1910. To show this, we compared 
the geometric area of the top four categories shown by 
Moore (Table 7) with our mud-shell, sand-shell and oyster 
reef categories in Areas II and III. These data showed a 
total area of 2,722 ha (6,727 acres) in 1910 and 4,534 ha 
(11,204 acres) in 1980, a gain of about 60%. While this 
cannot be considered conclusive because of the nature of 



the original data set, the positive direction is suggestive. We 
attribute the probable increase to the effect of culling 
unwanted shells and small oysters onto unproductive sand 
and mud bottoms from 1910 to 1981. 



ACKNOWLEDGM ENTS 

The authors thank P. Kendall, K. Walker and R. Morales- 
Alamo for assistance in the field work; B. Bowen for his 
contribution to statistical analysis; and the VIMS Art 
Department for preparation of the figures. 



Origin and Extent of Oyster Reefs in James River 



151 



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Natl. Shellfish. Assoc. 58:23-36. 
. 1982. The James River public seed oyster areas in Virginia. 

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, D. S. Haven & D. B. Quayle. 1959. Fresh water kill of 



oysters {Crassostrea virginica) in the James River, Virginia, 1958. 

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Bouma, A. H., ed. Shell Dredging and Its Influence in Gulf Coast 

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industry in North Carolina. U.S. Comm. Fish. Rep. 1903: 

247-341. 
Haas, L. W. 1977. The effect of the spring-neap tidal cycle on the 

vertical salinity structure of the James, York and Rappahannock 

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sp. (Haplosporida, Haplosporidiidae): causative agent of the 

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Hargis, Jr., J. Loesch, and J. P. Whitcomb, eds. Vie Effects of 

Tropical Storm Agnes on the Oiesapeake Bay Estuarine Systems. 

Baltimore, MD: John Hopkins Press. (CRC Publ. 54:488-407.) 
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The use of sonic gear to chart locations of natural oyster bars in 

lower Chesapeake Bay. Proc. Natl. Shellfish. Assoc. 69:11-14. 
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potential productivity of the Baylor Grounds in Virginia. Va. 

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1-154. 
Haven, D. S., W. J. Hargis, Jr. & P. Kendall. 1981b. The oyster 

industry of Virginia: Its status, problems and promise. 1981 

(revised). Va. Inst. Mar. Sci., Spec. Pap. Mar. Sci. No. 4: 1024 p. 
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northwestern Gulf of Mexico with reference to invertebrate 
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Loesch, J. G., D. S. Haven & J. P. Whitcomb. 1975. An investigation 
of the seed oyster reserves in Virginia and testing and identifying 
gear to harvest oysters. Gloucester Point, VA: Va. Inst. Mar. 
Sci. Final Rep. Contract No. 3-193R, Natl. Mar. Fish. Serv.; 
133 p. 

Loosanoff, V. L. 1931. Observation on Propagation of Oysters in 
the James and Corrotoman Rivers and the Seaside of Virginia. 
Newport News, VA : Virginia Comm. Fish. ; 46 p. 

MacKenzie, C. L., Jr. 1983. To increase oyster production in north- 
eastern United States. U.S. Natl. Mar. Fish. Serv. Mar. Fish. Rev. 
45(3):l-23. 

Marshall, N. 1954. Changes in the physiography of oyster bars in 
James River, Virginia. Va. J. Sci. 5(3):23-28. 

Moore, H. F. 1911. Condition and extent of oyster beds in the 
James River. U.S. Bur. Fish. Doc. No. 729: 83 p. 

Nichols, M. M. 1972a. Sediments in the James River, Va. Nelson, 
B. W., ed. Environmental Framework of Coastal Plain Estuaries. 
Geol. Soc. Am. Mem. 133:169-212. 

. 1972b. Effect of increasing depth on salinity in the 

James River estuary. Nelson, B. W., ed. Environmental Frame- 
work of Coastal Plain Estuaries. Geol. Soc. Am. Mem. 133: 
571-589. 

Nonis, R. M. 1953. Buried oyster reefs in some Texas Bays. / 
Paleontol. 27(4):569-576. 

Price. W. A. 1954. Oyster reefs of the Gulf of Mexico. Galtsoff, 
P. S., coordinator, Gulf of Mexico, its origin, waters, and marine 
life. U.S. Fish Wild!. Serv. Fish. Bull. 89(55):491. 

Pritchard, D. W. 1953. Distribution of oyster larvae in relation to 
hydrographic conditions. Proc. Gulf Caribb. Fish. Inst. 
5:123-132. 

Scott, A. J. 1968. Environmental factors controlling oyster shell 
deposits. Texas Coast. From Fourth Forum on Geology of 
Industrial Minerals. Austin, TX: Univ. of Texas; 1968:131-150. 

Sokal, R. R. & F. J. Rohlf. 1981. Biometry, the Principles and 
Practices of Statistics in Biological Research. San Francisco, CA: 
W. H. Freeman and Co. 859 p. 

Stroup, E. D. & R. J. Lynn. 1963. Atlas of salinity and temperature 
distributions in Chesapeake Bay 1952 - 1961 and seasonal 
averages 1949-1961. Baltimore, MD:Chesapeake Bay Inst., 
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129 p. 



Journal of Shellfish Research, Vol. 3, No. 2, 153-167, 1983. 

GENETIC DIFFERENTIATION AND POPULATION STRUCTURE OF THE 

AMERICAN OYSTER CRASSOSTREA VIRGINICA (GMELIN) 

IN CHESAPEAKE BAY 



NORMAN E. BUROKER 1 

Bureau of Biological Research 

Rutgers, The State University of New Jersey 

Piscataway, New Jersey 08854 



ABSTRACT Genetic variation and differentiation were studied among 10 oyster bars of the American oyster Crassostrea 
virginica (Gmelin) in Chesapeake Bay. The observed heterozygosity ranged from 0.195 to 0.230 while the proportion of 
polymorphic structural loci ranged from 0.483 to 0.552 among demes. The genetic similarities among oyster bars averaged 
99% suggesting little genetic differentiation; however, F s j statistics revealed that 23 of 41 alleles were significantly different 
among demes, suggesting spatial heterogeneity among oyster bars within Chesapeake Bay. Principle component and step- 
wise multivariate discriminant analyses of the 28 most common alleles indicated that the 10 oyster bars could be partitioned 
into four different latitudinal groups (e.g., subpopulations). The four subpopulations are probably maintained by a balance 
between the migration of planktonic oyster larvae and the adaptation of genotypes to local environmental conditions. 

KEY WORDS: allelic variation, Chesapeake Bay, Crassostrea virginica, multivariate analysis, oyster bars, protein electro- 
phoresis, subpopulations 



INTRODUCTION 

The American oyster Crassostrea virginica (Gmelin) is 
an oviparous, dioecious bivalve. Its planktonic larval stage 
lasts from two to three weeks and provides ample oppor- 
tunity for zygotic dispersion (Galtsoff 1964). Large popula- 
tions of sedentary adults of C. virginica are present in 
Chesapeake Bay. Consequently, the possibility of genetic 
differentiation between populations by genetic drift can be 
discounted. In this study, I have attempted to delineate 
between two theories concerning population structure of 
C. virginica in the bay. The water circulation patterns 
within the bay and the long planktonic larval stage provide 
the potential for extensive gene flow among contiguous 
oyster demes. These factors should contribute to high levels 
of genetic similarity among oyster bars throughout the 
latitudinal 240-km range of C. virginica in Chesapeake Bay. 
This would suggest that the bay contains a single panmictic 
oyster population. Alternatively, if selection pressure was 
great enough to minimize the effect of gene flow among 
oyster demes or if larval dispersion was not as wide spread 
as suggested, then geographic variation in allele frequencies 
could occur among various regions within Chesapeake Bay. 
This effect would produce subpopulations (i.e., random 
mating within groups) of the oyster in the bay instead of a 
single panmictic population. 

Examination of the population structure can be 
approached through biochemical genetic studies using 
protein electrophoresis on natural populations which will 
provide information on gene and genotypic frequencies of 
structural loci (Powell 1975, Selander 1976). Such informa- 
tion may provide evidence for selection in natural popula- 



Present address: Department of Biochemistry, School of Medicine, 
The Oregon Health Sciences University, Portland, Oregon 97201. 



tions in the form of macrogeographical clines in gene 
frequency (e.g., spatial changes of allele frequencies with 
concomitant geographical variation [Koehn 1969, Powell 
1971, Schopf and Gooch 1971]); microgeographical clines 
in gene frequencies (e.g., changes in allele frequencies with 
concomitant microgeographic gradients or with local 
environmental heterogeneity [Balegot 1971, Hamrick and 
Allard 1972, Koehn et al. 1973]); temporal clines in gene 
frequency (i.e., a progressive change in allele frequencies 
with year-class or increasing age [Fujino and Kang 1968, 
Koehn et al. 1971 , 1976, 1980, Tinkle and Selander 1973]); 
and among-locus discordance in patterns of geographical 
variation (Williams et al. 1973, Christiansen and Frydenberg 
1974). In this analysis, 32 structural loci were examined in 
C. virginica with respect to levels of genetic variation and 
genetic differentiation among oysters bars in Chesapeake 
Bay. The genie variation was then examined with respect to 
environmental and geographical variations in the bay, and 
to among-locus discordance between sampling localities. 

Environmental Variation in Chesapeake Bay 

Oceanic water moves along the lower water column of 
Chesapeake Bay in a northerly direction to the head of the 
bay. Fresh water enters the bay from tributaries and flows 
in a southerly direction along the upper water column. This 
opposite flow of fresh- and salt water at different depths in 
the water column results in macro- and microgeographical 
salinity gradients. High salinities are found in the deep 
water layers and lower regions of the bay while lower 
salinities are found in the surface water layers and upper 
regions of the bay (Whaley and Hopkins 1952, Stroup and 
Lynn 1963). This water circulation pattern may be the 
reason why there are no large spatial gradients in water 
temperature. Chesapeake Bay does experience seasonal 



153 



154 



BUROKER 



climatic variation. Winter surface water often freezes while 
summer surface water temperatures may reach 30 C 
simultaneously for all regions of the bay. 

MATERIALS AND METHODS 

Oyster Bars and Geographical Variation 

The oyster samples used in this study were dredged from 
ten oyster bars from various depths and regions of Chesa- 
peake Bay and its tributaries (Figure 1, Table 1). Only 
adult oysters of > 6 cm length were used. Individuals 
smaller than 6 cm were not analyzed because of the possi- 
bility of genotypic and age (size)-dependent interactions 
which have been reported between marine bivalves (Koehn 
et al. 1973, Mitton et al. 1973. Boyer 1974, Tracey et al. 
1975, Singh and Zouros 1978, Zouros et al. 1980). All 
samples were transported to the Marine Products Laboratory, 
Center for Environmental and Estuarine Studies, University 
of Maryland, where they were stored at — 20°C until 
analyzed by starch gel electrophoresis. Both recruitment of 
new individuals and ambient water conditions varied 
between the collecting localities. 

The spatial distribution of natural oyster bars in Chesa- 
peake Bay ranges from the Swan Point site (upper bay) to 
the James River (lower bay). This constitutes a latitudinal 
geographic distance of approximately 240 km. The mean 
water depths at the ten oyster bars sampled in this study 
ranged from 0.3 to 6.1 m. A salinity gradient also exists 
among the ten collecting localities, ranging from a mean 
of 8.5 ppt at the Swan Point site to 17.5 ppt in Pocomoke 
Sound. A very slight thermal cline in the annual mean water 
temperature appears among the oyster bars which ranges 
from 13.0°C at the Swan Point site to 15.5°C in the James 
River (Table 1 ). 

Sample Preparation, Electrophoresis and Protein Staining Systems 

Approximately 0.5 g of either adductor muscle or 
stomach tissue was extracted from each individual, placed 
into a test tube containing 1.0 m2 of distilled water and 
homogenized with a glass rod. This crude extract was 
centrifuged at 5,000 rpm for 2 min. The supernatant was 
then absorbed on cellulose wicks which were set into a 
starch gel matrix. The methods of horizontal starch gel 
electrophoresis of oyster samples including buffer solutions 
and staining solutions are as previously described (Buroker 
et al. 1975, 1979a, b). the 21 protein-staining systems used 
in this study were: acid phosphatase (AcP), adenine kinase 
(Adk), aldolase (Aid), aminopeptidase (Ap), aspartate amino- 
transferase (Aat), esterase (Est), alphaglycerophosphate 
dehydrogenase (aGlypd), glyceraldehyde 3-phosphate 
dehydrogenase (Gly3pd), hexokinase (Hk), isocitrate 
dehydrogenase (Idh), leucine aminopeptidase (Lap), malate 
dehydrogenase (Mdh), malic enzyme (Me), mannose phos- 
phate isomerase (Mpi), muscle protein (Mp), 6-phosphoglu- 
conate dehydrogenase (6Pgd), phosphoglucose isomerase 



(Pgi), phosphoglucomutase (Pgm), sorbitol dehydrogenase 
(Sdh), tetrazolium oxidase ( To), and xanthine dehydro- 
genase (Xdh). In this study the electrophoretic analyses of 
soluble proteins reflected 32 structural loci. These loci were 
selected on the basis of available staining procedures and 
clarity of protein banding. Two polymorphic loci (AcP— 3 
and Sdh) could not be resolved for all collecting localities. 

Statistical Analyses 

The inbreeding coefficient is the correlation between 
random gametes within subdivisions relative to gametes of 
the total population and is a measure of the heterogeneity 
among the subpopulations (Wright 1940, 1969, 1978). The 
variation in allele frequency between subpopulations can be 
used to compute the "effective" inbreeding coefficient (F st ). 
The estimate is 



st 



apj/p (1-p) 



where p represents the weighted mean, and ah the weighted 
sum of the squared deviations of the individual subpopula- 
tions gene frequencies from the mean gene frequency divided 
by the number of subpopulations: 



'Pi = 



= 2 [(p-pi) 2 /n] 



Because each allele at a locus has its own values of ah and 
p, F st can be used to test for differential selection between 
the subpopulations. This statistic has also become widely 
known and is used as the standardized variance of gene 
frequency between populations (Cavalli-Sforza 1966). 

Two other statistical procedures employed were principle 
component and discriminant analyses. Principle component 
analysis is a method of reducing the number of correlated 
measurement variables into a small set of statistically inde- 
pendent linear combinations having certain unique properties 
with regard to characterizing individual differences (Overal 
and Klett 1972, Harris 1975). The method (BMDP-4M; 
Dixon 1977) was used here to describe biological, environ- 
mental and genetic differences among oyster bars in Chesa- 
peake Bay. A stepwise multivariate discriminant analysis 
(BMDP-7M; Dixon 1977) procedure was used to select 
those characters which best discriminate oyster subpopula- 
tions in the bay. 

RESULTS 

Genetic Variation among Oyster Bars 

The 21 protein-staining systems allowed examination of 
32 monomorphic and polymorphic structural loci. The 18 
loci which displayed genie variation have been tabulated 
with relation to the collecting localities (Table 2). The 14 
loci for which no genie variation was found are: AcP-\, 
Adk-2,Ald, Aat-\,Est-2, Glypd-2, Gly3pdh,Hk-\,Me, 
Mp-\, Mp-2, 7b- 1, 7c>-2, and Xdh. A summary of the 



Crassostrea virginica in Chesapeake Bay 



155 




Figure 1. Map of Chesapeake Bay depicting the ten oyster bars sampled in this study. Starting at the head of the bay, the oyster bars are 
Swan Point (SP), Herring Bay (HB), Broad Creek (BC), Tred Avon River (TAR), Patuxent River (PaR), Wicomico River (WR), Potomac 
River (PoR), Pocomoke Sound (PS). Rappahanock River (RR), and James River (JR). 






156 



BUROKER 



TABLE 1. 

Biological and ambient environmental parameters from ten oyster bars in various regions of Chesapeake Bay. 

The oyster bars range in decreasing latitude from Swan Point, MD, near the head of Chesapeake Bay 

to James River, VA, near the mouth of Chesapeake Bay. 

Oyster Bars 



SP 



Maryland 



BC 



TAR 



HB 



PaR 



WR 



PoR 



PS 



Virginia 



RR 



JR 



Mean recruitment 

(spat/bushel) 
(1939-1975) Maryland 2 
(1961-1975) Virginia 3 

Mean salinity (ppt) 
(annual range) 

Water depth (m) s 

Mean water temperature 
<°C) 4 
(annual range) 



14.6 



8.5 



121.4 



12.5 



32.1 



12.5 



36.4 



11.0 



15.4 



12.0 



63.6 



14.8 



!35.5 53.9 



12.8 



17.5 



73.3 



13.3 



184.3 



10.1 



(3-14) (8-18) (8-18) (4-16) (8-18) (10-20) (8-18) (14-23) (8-18) (7-22) 



5.2 

13.0 
(1-27) 



4.6 



6.1 



0.3 



4.6 



4.6 



3.7 



3.0 



3.7 



13.8 13.5 13.6 13.6 

(2-28) (2-28) (2-28) (2-28) 



13.5 13.9 14.3 15.3 15.5 

(2-28) (2-28) (2-29) (3-28) (2-28) 



'SP (Swan Point), BC (Broad Creek), TAR (Tred Avon River), HB (Herring Bay), PaR (Patuxent River), WR (Wicomico River), PoR (Potomac 

River), PS (Pocomoke Sound), RR (Rappahanock River), and JR (James River). 
2 Source: Meritt (1977) 

Source: D. Haven, Virginia Inst. Mar. Sci., pers. coram. 
4 Sources: Whaley and Hopkins (1952). Stroup and Lynn (1963). 

Source: G. Krantz. Marine Science Laboratory. Crisfield, MD 21817, pers. comm. 

TABLE 2. 
Genie variation of the American oyster Crassostrea rirginica among oyster bars from Chesapeake Bay. 



Allele 2 
Locus (RM) 








Chesapeake Bay Oyster Bar; 


l 








SP 


BC 


TAR 


HB 


PaR 


WR 


PoR 


PS 


RR 


JR 


.4p-l n 


180 


184 


182 


182 


180 


178 


182 


182 


184 


182 


103 


0.017 


0.000 


0.000 


0.000 


0.000 


0.006 


0.011 


0.000 


0.000 


0.038 


100 


0.283 


0.397 


0.379 


0.379 


0.428 


0.399 


0.346 


0.341 


0.359 


0.451 


97 


0.228 


0.201 


0.143 


0.143 


0.217 


0.208 


0.148 


0.176 


0.158 


0.198 


94 


0.278 


0.272 


0.247 


0.231 


0.261 


0.197 


0.258 


0.297 


0.212 


0.198 


91 


0.189 


0.130 


0.176 


0.137 


0.094 


0.185 


0.209 


0.148 


0.201 


0.082 


88 


0.006 


0.000 


0.055 


0.110 


0.000 


0.006 


0.027 


0.038 


0.071 


0.033 


H 


0.844 


0.739 


0.758 


0.846 


0.700 


0.753 


0.703 


0.714 


0.891 


0.703 


D 


0.119 


0.040 


0.024 


0.126 


0.010 


0.039 


-0.059 


-0.037 


0.178 


-0.008 


AcP-3 n 


— 


148 


— 


178 


98 


72 


168 


-- 


182 


184 


120 


— 


0.000 


— 


0.000 


0.000 


0.000 


0.024 


-- 


0.000 


0.000 


115 


— 


0.014 


— 


0.035 


0.051 


0.014 


0.065 


— 


0.005 


0.011 


110 


— 


0.507 


— 


0.593 


0.439 


0.444 


0.589 


— 


0.198 


0.446 


108 


— 


0.291 


— 


0.267 


0.398 


0.389 


0.202 


— 


0.357 


0.353 


105 


— 


0.169 


— 


0.105 


0.112 


0.153 


0.119 


— 


0.324 


0.174 


100 


— 


0.020 


— 


0.000 


0.000 


0.000 


0.000 


— 


0.115 


0.016 


H 


— 


0.541 


— 


0.744 


0.857 


0.806 


0.750 


-- 


0.593 


0.587 


D 


— 


-0.142 


— 


0.317 


0.350 


0.576 


0.265 


— 


-0.171 


-0.091 


Adk-l n 


180 


186 


182 


184 


178 


178 


182 


176 


184 


184 


104 


0.000 


0.000 


0.000 


0.000 


0.006 


0.000 


0.000 


0.000 


0.005 


0.000 


102 


0.078 


0.059 


0.088 


0.103 


0.124 


0.067 


0.088 


0.108 


0.082 


0.082 


100 


0.233 


0.226 


0.198 


0.239 


0.191 


0.315 


0.258 


0.193 


0.196 


0.130 


98 


0.572 


0.597 


0.665 


0.582 


0.640 


0.522 


0.582 


0.625 


0.603 


0.592 


96 


0.117 


0.118 


0.049 


0.076 


0.045 


0.090 


0.071 


0.074 


0.114 


0.185 


94 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.011 


H 


0.600 


0.548 


0.593 


0.674 


0.551 


0.674 


0.637 


0.580 


0.630 


0.652 


D 


0.002 


-0.047 


0.166 


0.146 


0.027 


0.095 


0.096 


0.045 


0.090 


0.103 



Crassostrea virginica in Chesapeake Bay 157 

TABLE 2. Genie variation of the American oyster Crassostrea virginica among oyster bars from Chesapeake Bay (continued). 



Locus 



Allele 2 








Ln 


esapeaxe ba 


y uyster ba 


rs 








(RM) 


SP 


BC 


TAR 


MB 


PaR 


WR 


PoR 


PS 


RR 


JR 


n 


176 


186 


180 


88 


180 


180 


112 


178 


166 


114 


117 


0.000 


0.000 


0.006 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


109 


0.006 


0.000 


0.006 


0.000 


0.000 


0.000 


0.000 


0.006 


0.012 


0.009 


100 


0.761 


0.715 


0.761 


0.773 


0.778 


0.789 


0.723 


0.787 


0.747 


0.711 


89 


0.233 


0.285 


0.228 


0.227 


0.222 


0.211 


0.277 


0.208 


0.241 


0.281 


H 


0.364 


0.462 


0.400 


0.364 


0.267 


0.374 


0.446 


0.337 


0.410 


0.456 


D 


-0.006 


0.135 


0.084 


0.039 


-0.228 


0.133 


0.116 


-0.003 


0.043 


0.097 


n 


180 


178 


172 


182 


144 


178 


182 


182 


184 


176 


102 


0.000 


0.006 


0.000 


0.000 


0.000 


0.000 


0.005 


0.000 


0.000 


0.000 


100 


0.651 


0.517 


0.384 


0.440 


0.625 


0.590 


0.604 


0.429 


0.424 


0.358 


98 


0.108 


0.107 


0.238 


0.159 


0.104 


0.163 


0.132 


0.176 


0.130 


0.250 


96 


0.145 


0.107 


0.099 


0.110 


0.111 


0.129 


0.148 


0.203 


0.163 


0.108 


94 


0.086 


0.197 


0.203 


0.192 


0.153 


0.112 


0.088 


0.187 


0.223 


0.239 


92 


0.011 


0.067 


0.076 


0.099 


0.007 


0.006 


0.022 


0.005 


0.060 


0.045 


H 


0.699 


0.865 


0.837 


0.890 


0.722 


0.742 


0.736 


0.912 


0.837 


0.852 


D 


0.305 


0.298 


0.129 


0.231 


0.284 


0.243 


0.252 


0.287 


0.157 


0.154 


n 


174 


180 


182 


176 


120 


174 


174 


90 


166 


182 


108 


0.000 


0.011 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


104 


0.000 


0.233 


0.011 


0.000 


0.000 


0.006 


0.011 


0.144 


0.006 


0.000 


100 


0.443 


0.456 


0.423 


0.244 


0.358 


0.368 


0.345 


0.356 


0.331 


0.478 


96 


0.477 


0.256 


0.495 


0.665 


0.525 


0.603 


0.563 


0.467 


0.578 


0.451 


92 


0.080 


0.044 


0.071 


0.091 


0.117 


0.023 


0.075 


0.033 


0.084 


0.071 


88 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.006 


0.000 


0.000 


0.000 


H 


0.448 


0.600 


0.484 


0.409 


0.500 


0.460 


0.545 


0.556 


0.386 


0.446 


D 


-0.204 


-0.104 


-0.154 


-0.165 


-0.143 


-0.080 


-0.022 


-0.123 


-0.297 


-0.015 


n 


180 


186 


182 


184 


180 


180 


182 


182 


184 


184 


98 


0.000 


0.011 


0.005 


0.011 


0.017 


0.006 


0.000 


0.000 


0.005 


0.000 


96 


0.978 


0.984 


0.978 


0.967 


0.961 


0.967 


0.989 


0.978 


0.973 


1.000 


94 


0.017 


0.005 


0.005 


0.016 


0.011 


0.028 


0.011 


0.011 


0.016 


0.000 


92 


0.006 


0.000 


0.011 


0.005 


0.011 


0.000 


0.000 


0.011 


0.005 


0.000 


H 


0.044 


0.032 


0.044 


0.065 


0.078 


0.067 


0.022 


0.044 


0.054 


0.000 


D 


0.018 


0.012 


0.015 


0.023 


0.027 


0.030 


0.010 


0.017 


0.020 


0.000 


n 


180 


186 


182 


184 


180 


180 


182 


182 


184 


184 


100 


0.000 


0.000 


0.005 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.005 


98 


1.000 


1.000 


0.995 


0.989 


0.994 


0.994 


1.000 


0.989 


0.995 


0.957 


96 


0.000 


0.000 


0.000 


0.011 


0.006 


0.006 


0.000 


0.011 


0.005 


0.038 


H 


0.000 


0.000 


0.011 


0.022 


0.011 


0.011 


0.000 


0.022 


0.011 


0.087 


D 


0.000 


0.000 


0.005 


0.011 


0.010 


0.010 


0.000 


0.010 


0.005 


0.040 


n 


180 


182 


182 


184 


174 


164 


174 


182 


184 


184 


104 


0.050 


0.088 


0.022 


0.033 


0.052 


0.030 


0.029 


0.011 


0.027 


0.027 


102 


0.528 


0.648 


0.538 


0.592 


0.649 


0.512 


0.523 


0.549 


0.533 


0.522 


100 


0.272 


0.181 


0.308 


0.266 


0.195 


0.348 


0.305 


0.269 


0.288 


0.272 


98 


0.100 


0.071 


0.115 


0.098 


0.092 


0.098 


0.098 


0.148 


0.125 


0.152 


96 


0.044 


0.011 


0.011 


0.011 


0.011 


0.012 


0.046 


0.022 


0.027 


0.027 


94 


0.006 


0.000 


0.005 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


H 


0.589 


0.429 


0.648 


0.598 


0.425 


0.573 


0.690 


0.484 


0.620 


0.685 


D 


-0.069 


-0.198 


0.079 


0.052 


-0.196 


-0.054 


0.109 


-0.199 


0.005 


0.088 


n 


180 


182 


180 


184 


178 


180 


182 


170 


182 


178 


98 


0.000 


0.011 


0.000 


0.011 


0.011 


0.000 


0.000 


0.000 


0.005 


0.011 


96 


0.067 


0.077 


0.117 


0.082 


0.129 


0.056 


0.066 


0.071 


0.071 


0.096 


94 


0.811 


0.747 


0.717 


0.717 


0.736 


0.778 


0.797 


0.718 


0.747 


0.803 


92 


0.122 


0.159 


0.167 


0.185 


0.124 


0.167 


0.137 


0.206 


0.176 


0.090 


90 


0.000 


0.005 


0.000 


0.005 


0.000 


0.000 


0.000 


0.006 


0.000 


0.000 


H 


0.311 


0.319 


0.411 


0.370 


0.360 


0.333 


0.385 


0.329 


0.407 


0.348 


D 


-0.034 


-0.223 


-0.077 


-0.169 


-0.156 


-0.085 


0.125 


-0.247 


0.003 


0.033 



Aat-2 



Est-l 



Est-3 



Idh-l 



Idh-2 



Lap -I 



Lap-7 



158 BUROKER 

TABLE 2. Genie variation of the American oyster Crassostrea virginica among oyster bars from Chesapeake Bay (continued). 



Allele 2 
Locus (RM) 








Chesapeake Bay Oyster Bars 1 








SP 


BC 


TAR 


HB 


PaR 


WR 


PoR 


PS 


RR 


JR 


Mdh-1 n 


180 


186 


182 


184 


180 


180 


182 


182 


184 


184 


104 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.005 


0.000 


0.000 


0.000 


100 


1.000 


1.000 


1.000 


0.995 


0.989 


0.983 


0.995 


1.000 


0.989 


0.995 


96 


0.000 


0.000 


0.000 


0.005 


0.011 


0.017 


0.000 


0.000 


0.005 


0.005 


92 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.005 


0.000 


H 


0.000 


0.000 


0.000 


0.011 


0.022 


0.033 


0.011 


0.000 


0.022 


0.011 


D 


0.000 


0.000 


0.000 


0.005 


0.010 


0.017 


0.010 


0.000 


0.009 


0.005 


Mdh-2 n 


180 


186 


182 


184 


180 


180 


182 


182 


184 


184 


103 


0.006 


0.005 


0.000 


0.000 


0.006 


0.000 


0.005 


0.011 


0.005 


0.000 


98 


0.994 


0.984 


0.989 


0.995 


0.989 


0.983 


0.984 


0.984 


0.989 


0.995 


93 


0.000 


0.005 


0.011 


0.005 


0.006 


0.017 


0.011 


0.005 


0.005 


0.005 


88 


0.000 


0.005 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


H 


0.011 


0.032 


0.022 


0.011 


0.022 


0.033 


0.033 


0.033 


0.022 


0.011 


D 


0.010 


0.008 


0.010 


0.005 


0.010 


0.017 


0.014 


0.013 


0.009 


0.005 


Mpi-2 n 


98 


156 


176 


150 


162 


176 


182 


170 


174 


176 


96 


0.204 


0.038 


0.102 


0.040 


0.253 


0.045 


0.027 


0.018 


0.040 


0.023 


92 


0.194 


0.096 


0.398 


0.440 


0.272 


0.227 


0.330 


0.259 


0.374 


0.392 


88 


0.490 


0.462 


0.341 


0.333 


0.352 


0.477 


0.484 


0.518 


0.408 


0.369 


84 


0.112 


0.308 


0.108 


0.173 


0.093 


0.148 


0.132 


0.147 


0.132 


0.165 


80 


0.000 


0.096 


0.045 


0.013 


0.031 


0.074 


0.027 


0.024 


0.046 


0.034 


76 


0.000 


0.000 


0.006 


0.000 


0.000 


0.028 


0.000 


0.035 


0.000 


0.017 


H 


0.778 


0.821 


0.852 


0.893 


0.815 


0.705 


0.725 


0.741 


0.828 


0.852 


D 


0.162 


0.221 


0.216 


0.345 


0.119 


0.020 


0.136 


0.156 


0.231 


0.252 


6Pgdh n 


180 


186 


182 


184 


178 


180 


182 


182 


184 


178 


109 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.011 


106 


0.022 


0.027 


0.016 


0.011 


0.051 


0.017 


0.000 


0.011 


0.016 


0.022 


103 


0.872 


0.844 


0.951 


0.864 


0.876 


0.889 


0.885 


0.962 


0.891 


0.916 


100 


0.106 


0.129 


0.033 


0.125 


0.073 


0.094 


0.115 


0.027 


0.092 


0.051 


H 


0.211 


0.269 


0.077 


0.228 


0.191 


0.200 


0.165 


0.055 


0.217 


0.157 


D 


-0.073 


-0.004 


-0.186 


-0.041 


-0.146 


-0.006 


-0.194 


-0.265 


0.105 


-0.007 


Pgi n 


180 


186 


182 


182 


178 


180 


182 


182 


184 


184 


114 


0.006 


0.000 


0.000 


0.005 


0.006 


0.000 


0.000 


0.005 


0.000 


0.000 


110 


0.022 


0.022 


0.044 


0.055 


0.028 


0.039 


0.049 


0.044 


0.054 


0.016 


106 


0.672 


0.747 


0.703 


0.643 


0.702 


0.656 


0.659 


0.703 


0.674 


0.739 


100 


0.289 


0.210 


0.242 


0.297 


0.258 


0.300 


0.286 


0.236 


0.261 


0.239 


94 


0.011 


0.022 


0.005 


0.000 


0.006 


0.006 


0.005 


0.011 


0.011 


0.005 


90 


0.000 


0.000 


0.005 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


H 


0.444 


0.387 


0.505 


0.473 


0.449 


0.467 


0.484 


0.473 


0.522 


0.370 


D 


-0.043 


-0.024 


-0.089 


-0.047 


0.023 


-0.026 


0.005 


0.057 


0.098 


-0.066 


Pgm-1 n 


178 


180 


182 


184 


180 


180 


182 


182 


184 


184 


108 


0.011 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


0.000 


106 


0.034 


0.056 


0.022 


0.005 


0.022 


0.039 


0.049 


0.038 


0.049 


0.038 


104 


0.320 


0.289 


0.198 


0.255 


0.250 


0.328 


0.253 


0.209 


0.152 


0.234 


102 


0.500 


0.567 


0.676 


0.630 


0.644 


0.550 


0.593 


0.698 


0.696 


0.620 


100 


0.107 


0.061 


0.093 


0.087 


0.067 


0.072 


0.099 


0.049 


0.071 


0.087 


98 


0.028 


0.028 


0.011 


0.022 


0.017 


0.011 


0.005 


0.005 


0.033 


0.022 


H 


0.674 


0.633 


0.462 


0.543 


0.444 


0.600 


0.582 


0.484 


0.522 


0.478 


D 


0.064 


0.078 


-0.067 


0.027 


-0.140 


0.029 


0.013 


0.038 


0.076 


-0.134 


Pgm-2 n 


180 


178 


90 


184 


180 


180 


182 


90 


184 


92 


104 


0.083 


0.152 


0.044 


0.043 


0.194 


0.050 


0.093 


0.022 


0.071 


0.043 


100 


0.883 


0.815 


0.944 


0.886 


0.772 


0.811 


0.824 


0.933 


0.875 


0.924 


96 


0.033 


0.034 


0.011 


0.071 


0.033 


0.139 


0.082 


0.044 


0.054 


0.033 


H 


0.200 


0.281 


0.111 


0.228 


0.344 


0.311 


0.308 


0.133 


0.250 


0.130 


D 


-0.048 


-0.101 


0.042 


0.094 


-0.055 


-0.028 


0.007 


0.053 


0.106 


-0.091 



Crassostrea virginica in Chesapeakf Bay 



159 



TABLE 2. Genie variation of the American oyster Crassostrea virginica among oyster bars from Chesapeake Bay (concluded). 



Locus 



Allele' 
(RM) 



Chesapeake Bay Oyster Bars 



SP 



BC 



TAR 



lilt 



PaR 



WR 



PoR 



PS 



RR 



JR 



Sdh n 

110 
105 
100 

H 

D 

Number of loci studied 29 

Mean number of genes 

sampled per locus 177 ±15 



92 


148 


— 


178 


182 


88 


182 


88 


0.043 


0.061 


— 


0.051 


0.027 


0.034 


0.038 


0.034 


0.891 


0.858 


— 


0.854 


0.896 


0.898 


0.901 


0.909 


0.065 


0.081 


— 


0.096 


0.077 


0.068 


0.060 


0.057 


0.217 


0.284 


— 


0.247 


0.187 


0.159 


0.198 


0.182 


0.087 


0.117 


— 


-0.048 


-0.023 


-0.157 


0.084 


0.081 



31 



30 



32 



31 



32 



32 



30 



32 



32 



Polymorphic 
loci/population 

Heterozygous loci per individual 

Observed 



Expected 



181 ±11 175 ±23 175 ±24 169 ± 23 173 ±26 
0.483 0.483 0.517 0.552 0.552 0.552 



176 ±17 171 ±28 182 ± 5 173 ±28 



0.517 



0.517 



0.55: 



0.517 



0.214 


0.216 


0.215 


0.230 


0.195 


0.216 


0.222 


0.196 


0.227 


0.218 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


0.209 


0.212 


0.204 


0.209 


0.202 


0.209 


0.210 


0.194 


0.211 


0.207 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 


±0.006 



'Oyster bars: Swan Point (SP), Herring Bay (HB), Broad Creek (BC), Tred Avon River (TAR), Patuxent River (PaR). Wicomico River (WR), 
Potomac River (PoR), Pocomoke Sound (PS). Rappahanock River (RR), and James River (JR). 



'Allele: 



RM = relative allelic mobility on the gel 
n = number of genes sampled per locus 
H = observed heterozygosity 



D = l(H 



o 



H e )/H e ] 



where H n is the observed number of heterozygotes and H e is the Hardy-Weinberg expected 



*o 



number of heterozygotes. 



Based on 29 structural loci 'AcP— \,AcP— 3, and Sdh could not be resolved for all collecting localities). 



genetic variation from the ten naturally occurring oyster 
bars (Table 2) indicates that the proportion of polymorphic 
loci (i.e., an estimate of the number of loci which exhibit 
genie variation with the common allele [p] < 0.99 from a 
random sample of structural loci in the population) ranges 
from 0.483 to 0.552 among the ten collecting localities. 
The observed heterozygosity (i.e., the proportion of genie 
variation per individual) ranged from 0.195 to 0.230 among 
the ten denies while the expected heterozygosities ranged 
from 0.194 to 0.211. 

In Table 2, the allele frequencies for the polymorphic 
loci have been tabulated with respect to the geographic 
spatial distribution of the oyster bars. No macrogeographic 
cline is evident in any allele frequency across sampling 
localities over the latitudinal distribution of Crassostrea 
virginica in Chesapeake Bay. Also, little genetic differenti- 
ation exists among the ten sampling localities based upon 
estimates of genetic similarities and distances (Nei 1972). 
That is, the genetic similarity among oyster bars ranged 
from 0.985 to 0.998 while the genetic distances ranged 
from 0.002 to 0.015. A Pearson chi-square statistic was 
used to test the null hypothesis that the allele frequencies 
are homogeneous among all oyster bars. This chi-square 
analysis of the inter-oyster bar allelic contingency revealed 
heterogeneity for 12 of the 18 polymorphic loci which 
indicated among-locus discordance between oyster bars 



for two thirds of the polymorphic loci sampled in this 
study (Table 3). 

Environmental versus Genetic Variation among Oyster Bars 

In spite of a moderate level of environmental variation 
and a great diversity in strength of recruitment among oyster 
bars (cf. Table 1 ), there appears to be little genetic differ- 
entiation among oyster bars in Chesapeake Bay based on 
estimates of genetic distance, similarity, and variation 
(above; Table 2). Principle component and stepwise multi- 
variate discriminant analyses were employed to identify 
any correlation between environmental variation and genetic 
differentiation. The variables used were water depth, 
temperature, salinity, and recruitment from Table 1. and 
deme genie polymorphism and observed individual heterozy- 
gosity from Table 2. The results of three principle component 
plots involving principle components one, two and three 
indicated that the ten oyster bars were diffused throughout 
each plot with no clustering of collected localities. When a 
stepwise multivariate discriminant analysis was conducted 
between those localities from the upper (Swan Point. 
Herring Bay, Broad Creek, and Tred Avon River) and those 
from lower Chesapeake Bay (Patuxent River, Potomac 
River. Wicomico River, Pocomoke Sound, Rappahanock 
River, and James River), no discriminating variables were 
found. 



160 



BUROKER 



TABLE 3. 

Inter-oyster bar allelic contingency tests for 18 polymorphic 

loci in the American oyster Crassostrea virginica in 

Chesapeake Bay. 





Number of 








Locus 


Alleles* 


Chi- square 


d.f. 


Probability 


Ap-1 


4 


59.327 


27 


<0.001 


Adk-1 


4 


71.750 


27 


<0.001 


Aat-2 


2 


6.353 


9 


>0.700 


AcP-3 


3 


124.720 


12 


<0.001 


Est-1 


4 


133.374 


27 


<0.001 


Est- 3 


3 


89.699 


18 


<0.001 


Idh-1 


2 


9.886 


9 


>0.300 


Idh-2 


2 


31.449 


9 


<0.001 


Lap-\ 


5 


66.789 


36 


<0.001 


Lap-2 


3 


29.456 


18 


<0.050 


Mdh-l 


2 


10.179 


9 


>0.300 


Mdh-2 


2 


3.328 


9 


>0.900 


Mpi-2 


5 


257.071 


36 


<0.001 


6Pgdh 


3 


44.815 


18 


<0.001 


Pgi 


3 


16.078 


18 


> 0.500 


Pgm-l 


3 


192.985 


18 


<0.001 


Pgm-2 


3 


86.173 


18 


<0.001 


Sdh 


3 


5.447 


12 


>0.900 


Total 




1238.879 


330 


<0.001 



*Rare alleles have been pooled with the next most common allele 
for statistical reasons. 



F st Analysis of Allele Frequencies 

Although there were no apparent correlations of environ- 
mental or geographical variables with levels of genetic 
variation, among-locus discordance existed with respect to 
spatial variation among oyster bars as indicated by the 
contingency chi-square analysis of the polymorphic loci. 
This suggested several possibilities: (1 ) differential selection 
pressure for some alleles at these polymorphic loci in 
response to the local environmental conditions of each 
collecting locality, (2) a hierarchical relationship among 
oyster bars, or (3) structuring of the dispersal pattern of 
planktonic oyster larvae among the collecting localities in 
Chesapeake Bay. A widely used method of revealing genie 
heterogeneity between sampling areas is the use of the 
standardized variance in allele frequencies, F st (Wright 
1940, 1969. 1978; Cavalli-Sforza 1966; Neel and Ward 
1972). F st estimates tend to be uniform for different 
alleles when inbreeding, sample variation (genetic drift), 
and random migration are occurring within a species. Con- 
versely, natural selection operating independently on each 
allele at a locus could reflect a heterogeneous array of F st 
values among different alleles. That is, for alleles under 
differential selection, the variance in allele frequency, as 
well as the F st estimate, would be large. If there is a 
balancing selection, the variance in allele frequency among 
collecting localities would be small, as would the F st 
values. A heterogeneity in F st values can also occur when a 



hierarchical relationship exists among collecting localities, 
or when migration is nonrandom and displays some pattern. 

Table 4 gives the F st values for 41 alleles together with 
the number of oyster demes over which they have been 
estimated. Any allele with a mean allele frequency of (p) > 
0.05 among oyster bars was analyzed. These data illustrated 
a diversity of F st values for these alleles. The mean F st 
value was 0.0161 and the variance Sp was 0.000194. 

The F st statistic is related to the contingency chi-square 
statistic used to test for heterogeneity between demes in 
allele frequency estimates. Following the procedures of 
Snedecor and Irwin (1933). this relationship can be 
expressed as 



< 2 = 2NF 



st- 



where N is the total sample size over all collecting localities. 
In these circumstances F st is a simple function of the chi- 
square statistic, with the significance of the chi-square 
statistic. Consequently, when the chi-square values were 
determined for the 41 F st values, 23 alleles were found to 
be statistically significant, indicating heterogeneity for 
more than one half of the alleles studied among oyster bars 
in Chesapeake Bay (Table 4). 

A further examination was made by F s t statistics in 
testing for spatial heterogeneity among the oyster bars. The 
test involved the goodness of fit of the observed distribu- 
tion of F s t values to a theoretical chi-square distribution 
(based on ten oyster bars) with 9 degrees of freedom 
(Lewontin and Krakauer 1973). Table 5 compares the 
observed distribution of the 41 F s j values in Table 4 with 
chi-square distributions having 1, 2, 3, 4 and 9 degrees of 
freedom. Classes were constructed to be one half of the 
standard deviation of the mean F s t value. The theoretical 
chi-square distribution with 9 degrees of freedom centers 
on the observed mean F s t of 0.0161, while the other chi- 
square distributions with 1 to 4 degrees of freedom were 
not altered. The test for the goodness of fit between the 
observed and the theoretical distributions gave a x 2 = 27.22 
with 8 degrees of freedom corresponding to P < 0.001, 
so the observed and theoretical chi-square distributions are 
significantly different. A test for the goodness of fit between 
the observed F s t distribution and a theoretical F s t distribu- 
tion with fewer degrees of freedom provides better results 
(Table 5). For example, the best fit occurs when 3 degrees 
of freedom are selected as a mean for the theoretical chi- 
square distribution. This indicates that the observed F s t 
distribution of the 41 alleles compared among ten oyster 
bars can best be explained if the ten oyster bars were con- 
tained within four subpopulations from Chesapeake Bay. 

Another test of heterogeneity is the comparison of the 
observed variance of F s t with the theoretical variance as 
described by Lewontin and Krakauer (1973). The theoretical 
variance of F s t is given by the expression 



Crassostrea virginica in Chesapeake Bay 



161 



TABLE 4. 

F s , values for different allelic distributions among ten oyster 
populations of Crassostrea virginica from Chesapeake Bay. 



Locus Allele n* 



st' 



Chi-squareJ Probability Significant 



TABLE 5. 

Comparison of the observed distribution of F st values of 

Table 4 with chi-square expected distributions having 

means of 1, 2, 3, 4, and 9 degrees of freedom. 

Expected 



Ap-\ 

Acp-3 

Adk- 1 

Aat-2 
Est-l 

Est-3 

Idh-i 

Lap-l 

Lap -2 

Mpi-1 

6Pgdh 

Pgi 

Pgm-1 

Pgm-2 

Sdh 



100 

97 
94 



100 
96 



102 

100 

98 

96 
94 
92 

92 
88 
84 

103 
100 

106 
100 

104 
102 
100 

104 

100 

96 

110 
105 
100 



10 0.00869 
0.00635 
0.00581 



15.781 
11.532 
10.551 



>0.05 
>0.20 
>0.20 



No 

No 
No 



Degrees of Freedom 



M 



Observed 



9* 



91 




0.01340 


24.334 


<0.01 


Yes 


< 0.0070 


15 


21.76 


16.26 


10.95 


6.56 


5.06 


110 


7 


0.06102 


62.851 


<0.001 


Yes 


0.0071 - 0.0140 


8 


9.35 


9.86 


9.39 


7.96 


7.68 


108 




0.02095 


21.579 


<0.01 


Yes 


0.0141 - 0.0210 


9 


4.59 


5.97 


6.97 


7.25 


8.40 


105 




0.03449 


35.525 


<0.001 


Yes 


0.0211 - 0.0280 


3 


2.43 


3.62 


4.88 


5.85 


7.11 


100 
98 
96 


10 


0.01275 
0.00583 
0.01813 


23.129 
10.576 
32.888 


<0.05 
>0.30 
<0.001 


Yes 
No 
Yes 


0.0281 - 0.0350 
0.0351 - 0.0420 
0.0421 - 0.0490 
0.0491 - 0.0560 


2 


2 

1 


1.35 
0.74 
0.45 
0.29 


2.20 
1.34 
0.80 
0.48 


3.28 

2.21 
1.44 
0.94 


4.45 
3.24 
2.28 
1.59 


5.12 
3.31 
1.98 
1.12 


100 


10 


0.00421 


6.568 


>0.50 


No 


0.0561 - 0.0630 


1 


0.04 


0.49 


0.94 


1.80 


1.21 


89 




0.00421 


6.568 


>0.50 


No 


Total 


41 


41.00 


41.00 


41.00 


41.00 


41.00 


100 


10 


0.04227 


74.311 


<0.001 


Yes 


x 2 




11.03 


6.26 


5.95 


17.87 


27.22 


98 
96 
94 




0.01864 
0.00837 
0.01973 


32.769 
14.714 
31.923 


<0.001 

>0.05 

<0.001 


Yes 
No 
Yes 


df 
Probability 




5 
>0.05 


6 7 
>0.30 >0.50 


8 
<0.05 


8 
<0.01 



10 0.01888 
0.04459 



96 10 0.00544 



10 0.00980 
0.01150 
0.00596 

10 0.00662 
0.00676 
0.00834 

10 0.04963 
0.01833 
0.02547 

10 0.01346 
0.01594 

10 0.00516 
0.00430 



10 



0.01434 
0.01628 
0.00409 



10 0.03436 
0.02604 
0.02233 

7 0.00289 
0.00401 
0.00239 



30.548 
72.147 

9.923 

17.542 
20.585 
10.668 

11.135 
12.141 
14.979 

80.401 
29.695 
41.261 

24.443 
28.947 

9.391 

7.826 

26.041 
29.564 

7.427 

52.914 
40.102 
34.388 

2.769 
3.842 
2.290 



<0.001 
<0.001 

>0.30 

<0.05 
<0.02 
>0.20 

>0.20 
>0.20 
>0.05 

<0.001 
<0.001 
<0.001 

<0.01 
<0.001 

>0.30 
>0.50 

<0.01 

<0.001 

>0.50 

<0.001 
<0.001 
<0.001 

>0.95 
>u.90 
>0.98 



Yes 

Yes 

No 

Yes 

Yes 
No 

No 
No 
No 

Yes 
Yes 
Yes 

Yes 
Yes 

No 
No 

Yes 
Yes 
No 

Yes 
Yes 
Yes 

No 
No 
No 



variance Sp = 0.000194 



*n = number of oyster bars for each F st . 
t^st = "effective" inbreeding coefficient. 
$X 2 = 2NF st with (n - 1) degrees of freedom. 



*corrected for the observed mean F S {. 

o- 2 =KF st /(n- 1), 

where K = 2 for an underlying binomial distribution of p 
(the relative allele frequency). When this formula is applied 
to the data of Table 4. 

<r = 0.000058. 

Whether or not the observed variance Sp , = 0.000194 is 

r st 

significantly larger than the theoretical variance was tested 
by the ratio Sp Jo 2 = 3.368 which is distributed as x 2 /df. 

To compensate for the multiple allelic loci, it was necessary 
to remove 1 degree of freedom for each multiple allelic loci 
(Lewontin and Krakauer 1973). The number of degrees of 
freedom then became 41 - 14 = 27 and the probability of 
the x 2 /df ratio was P < 0.001 . which indicates a significant 
difference. If the assumption is made that the observed F s t 
distribution can be best explained by assuming four sub- 
populations in Chesapeake Bay instead of the actual ten 
oyster bars studied, the a 2 becomes 0.0001 73. Whether the 
observed variance is significantly larger was again tested by 
the ratio 

S 2 Fst /o 2 = 1.121. 

The probability of the x 2 /df ratio was p > 0.25, resulting 
in no significant heterogeneity. 

The Sp Jo 2 ratio can be inflated by higher migration 

rates among certain groups of subpopulations, by mutation 
and special patterns of migration (Nei and Maruyama 1975), 
as well as by hierarchical relationships among populations 



162 



BUROKER 



(Robertson 1975). It is likely that higher migration rates 
exist among neighboring oyster bars than among distant 
oyster bars. Consequently, the partitioning of the ten oyster 
bars in this study into four subpopulations greatly reduces 
theSp Jo 2 ratio. The difference between the Sp Jo 2 ratios, 
when 9 and 3 degrees of freedom were used, indicated how 
this ratio can be inflated if the assumption is made that the 
ten collecting localities were contained within a single 
panmictic oyster population instead of four panmictic 
subpopulations. 

The F s t analysis indicates that some genetic structure 
existed among the resident oyster bars of Chesapeake Bay. 
Although the F s t analysis indicated subpopulational struc- 
ture, it did not assign the ten oyster bars to their respective 
group nor did it indicate which structural loci were respon- 
sible for the partitioning of the ten bars into four subpopu- 
lations. A probable solution to these questions can be 
obtained with the use of principle component and stepwise 
multivariate discriminant analyses. Using principle 



component analysis, the Chesapeake Bay oyster population 
was considered as a set and the allele frequencies of the 
polymorphic loci as the variables measured over the ten 
sampling localities. Twenty-eight of the most common 
alleles (i.e., p > 0.05) from the Ap-l, Adk-l, Aat-2, 
Est- 1 , Est-3, Lap- 1 , Lap-2, Mpi-2, 6Pgdh, Pgi, Pgm- 1 , 
and Pgm-2 loci (Table 2) were used in the principle 
component analysis. The AcP—3 and Sdh loci were not 
used because they were not represented among all oyster 
demes. Also, the Idh—1, Idh-2, Mdh-l, and Mdh-2 loci 
were not used because these genes represented very little 
genie variation among demes and would not be of much 
diagnostic value. The results of this analysis are illustrated 
in Figure 2, where principle component one is plotted 
against principle component three. The ten collecting 
localities can be grouped into four subpopulations as shown 
by the convex contour lines. The first group from the upper 
Chesapeake Bay contains the Broad Creek, Patuxent River, 
and Herring Bay oyster bars. Proceeding down the bay, the 



tr 

0. 



4.0 



3.0 



2.0 



1 .0 • 



0.0 



1 .0 



-2.0 



■3.0 



■4.0 



-5.0 



JR 

4 






I I 

-4.0 -3.5 



I 

■3.0 



I 
■2.5 



I 

2.0 



I 

1 .5 



I 

■1.0 



-0.5 



I 
0.0 



I 

0.5 



I 

1 .0 



1 .5 



2.0 



2.5 



I 

3.0 



3.5 



PRIN 3 

Figure 2. A principle-component analysis involving 28 alleles across 10 oyster bars in Chesapeake Bay. The two-dimensional graph depicts 
principle components one and three of the analysis. Four different groups from Chesapeake Bay can be recognized. Group one is located in 
upper Chesapeake Bay and consists of the Broad Creek (BC), Herring Bay (HB). and Patuxent River (PaR) oyster bars. Group two consists 
of Swan Point (SP), Wicomico River fWR), and Potomac River (PoR) oyster bars. Group three consists of the Tred Avon River (TAR), 
Pocomoke Sound (PS), and Rappahanock River (RR) oyster bars. Group four would contain the James River (JR) oyster bar. The contour 
lines are drawn as a visual aid. 






CRASSOSTREA VIRGINIA IN CHESAPEAKE BAY 



163 



second group contains the Swan Point, Wicomico River, 
and Potomac River oyster bars. The third group encom- 
passes the Tred Avon River, Pocomoke Sound, and Rappa- 
hanock River oyster bars. The James River collecting 
locality appears to be independent of all other groups. The 
plots of principle components one on two and two on three 
provided similar results. The separation of the ten oyster 
bars into four different groups within Chesapeake Bay 
supports the F s t analysis; however, it does not define which 
alleles of the 12 polymorphic loci are diagnostic in parti- 
tioning the ten oyster bars into four subpopulations. 

An examination of allelic frequencies for the 18 poly- 
morphic loci indicates that no single locus is diagnostic for 
partitioning the oyster bars into subpopulations. yet there 
are discrete allele frequency differences among the ten 
oyster bars. Using stepwise multivariate discriminant analysis. 



the information at these loci was combined to maximize 
the diagnostic powers. Figure 3 shows the genetic differenti- 
ation among nine oyster bars based on the first two 
canonical variables of the discriminant analysis. The James 
River oyster bar was excluded from the analysis because it 
could not be grouped by principle components with any 
other oyster bar. The Est-l 100 , Lap-\ 102 , Pgi 106 , and 
Pgm— l 104 allele frequencies were used in combination 
by the analysis to partition the remaining oyster bars into 
three subpopulations. 

DISCUSSION 

The long planktonic larval development of Crassostrea 
virginica has apparently been beneficial for the longevity of 
this oyster species because it is this stage of development 
that provides the opportunity for demes to disperse their 



© 

n 

CO 

i_ 

CO 

> 

CD 
O 

c 
o 
c 
co 
O 



20.0 > 



16.0 • 



12.0 



8.0 



4.0 



0.0 



-4.0 



-8.0 



1 2.0 



16.0 • 



20.0 





\™«y 



i i i i i i i i ■ i i i 

30.0 -25.0 -20.0 -15.0 -10.0 -5.0 0.0 5.0 10.0 15.0 20.0 25.0 



Canonical Variable 1 



Figure 3. Two-dimensional graph of first two canonical variables from a stepwise multivariant discriminate analysis of 28 alleles across ten 
oyster bars in Chesapeake Bay. The analysis entered the Est-l x<x> , Lap-l 102 , Pgi 106 , and Pgm-l [M alleles in the production of the two 
canonical variables. Nine oyster bars can be distinctly grouped into three subpopulations. Group one consists of Broad Creek (BC), Herring 
Bay (HB), and Patuxent River (PaR) oyster bars. Group two consists of Swan Point (SP), Wicomico River (WR), and Potomac River (PoR) 
oyster bars. Group three consists of Tred Avon River (TAR), Pocomoke Sound (PS), and Rappahanock River (RR) oyster bars. The contour 
lines are drawn as a visual aid. 



164 



BUROKER 



zygotes into contiguous populations. As a consequence of 
this dispersing ability, the fossil record indicates that ancient 
populations of C. virginica apparently had relocated along 
the Atlantic coast with respect to changing environmental 
conditions (Merrill et al. 1965). The apparently high levels 
of gene flow caused by large demes, high individual 
fecundities, and long planktonic development should be in 
part responsible for maintaining the relatively high level 
of genetic variation within this species (Table 2). These 
levels of genetic variation coincide well with those found 
in other invertebrates (Lewontin 1974, Powell 1975, 
Selander 1976). The genetic similarities between oyster 
bars in Chesapeake Bay are consistent with levels of genetic 
similarity reported for other intraspecific studies of inverte- 
brates (Ayala et al. 1974, 1975; Hedgecock et al. 1976; 
Tracey et al. 1975) as well as for other geographical popula- 
tions of C. virginica along the Atlantic coast (Buroker 1983). 

In spite of local environmental differences between the 
ten collecting localities (Table 1), there appears to be no 
overall genetic differentiation for the 32 loci studied among 
the oyster bars. When the genetic variation among oyster 
bars was statistically analyzed, however, gene diversity was 
found and some structure to the oyster demes in Chesapeake 
Bay was noted. The use of Wright's (1940, 1969, 1978) 
inbreeding coefficient and principle component analysis 
indicated at least four subpopulations of oysters in the bay. 
The principle component analysis of the allele frequency 
data produced the best possible grouping arrangement of 
the ten oyster bars that were examined in this study. When 
a comparison was made between sampling sites (Figure 1) 
and their grouping (Figure 2), it became apparent that the 
common factor which united the oyster bars within a group 
was their close geographical proximity. For example, the 
northern most group in Chesapeake Bay consisted of oyster 
bars within the geographical boundaries of Broad Creek, 
Herring Bay, and Patuxent River. Moving in a southerly 
direction, the second group consisted of oyster bars within 
the boundaries of the Wicomico and Potomac rivers. The 
third group contained those oyster bars that were geographi- 
cally bounded by Pocomoke Sound and Rappahanock River. 
The final group consisted of oyster bars in the lower part 
of the bay including the James River as part of the subpopu- 
lation. These four subpopulations are latitudinally distrib- 
uted in Chesapeake Bay. This may indicate that gene flow 
among oyster demes was localized within certain regions of 
the bay. 

At least two observations can be made from a compari- 
son of Figures 1 and 2. First, two oyster bars obviously 
appear out of place. Based on geographic location, the 
Swan Point oyster bar (group two) and the Tred Avon 
River oyster bar (group three) would be more appropriately 
placed in group one. Second, why should subpopulations 
exist in Chesapeake Bay when there is a long planktonic 
stage of larval development for this species and good water 



circulation in the estuary? Because gene flow between 
demes, which are in close geographical proximity, appears 
to be a prominent mechanism in accounting for the oyster 
population structure in the bay, either random events or 
selection could be invoked to explain the above two obser- 
vations. Because numbers of adult oysters per deme may 
run from hundreds of thousands to millions of individuals 
(Galtsoff 1964), it is unlikely that random events would be 
responsible for the genetic differentiation found between 
the Tred Avon River and Broad Creek oyster bars as well as 
the Swan Point oyster bar and those demes of group one. 
The alternative hypothesis would be genotypic adaptation 
of new recruits to the local environmental conditions of 
each oyster bar. For example, from the stepwise multi- 
variate discriminant analysis (Figure 3). it is evident that 
allelic variance of £sf-l 100 , Lap-V 02 , Pgi i0 \ and 
Pgm-l iw is minimial within each group and is greatest 
between subpopulations. Evidence for microgeographical 
selection of allozyme genotypes in varied environments has 
been presented for some marine bivalves (Koehn and 
Mitton 1972; Koehn et al. 1973. 1976, 1980; Levinton 
1973; Boyer 1974). Consequently, the microgeographic 
adaptation of genotypes among Tred Avon River oysters to 
their ambient environment might concide with that found 
for oysters within group three instead of group one. The 
same argument would place the Swan Point bar in group two 
instead of group one. Obviously this results in a migration- 
selection model to explain the genetic differentiation found 
between sampling localities. When the balance within the 
model is heavily shifted in favor of selection of genotypes 
to local environmental conditions, the structuring of sub- 
populations would be negated (which appears to be the 
situation for Tred Avon River and Swan Point oyster bars). 
On a macrogeographical scale the migration-selection 
model can be used to explain the latitudinal partitioning of 
oyster subpopulations in Chesapeake Bay. If there was no 
opposing evolutionary force to counterbalance the effect 
of gene flow, the bay would consist of a single panmictic 
population with no genetic differentiation of groups; 
however, the F s t analysis (Table 4) verifies genetic differ- 
entiation among sampling localities when 23 of 41 alleles 
were found to display significant heterogeneity among the 
ten oyster bars investigated. Because subpopulations are 
present that consist of minor genetic differences as revealed 
by statistical analysis of allele frequencies among oyster 
demes, it is suggested that a macrogeographical selection 
gradient occurs latitudinally in the bay. Although the exact 
components of this gradient cannot be defined, attention 
can be drawn to some environmental similarities that 
coincide with the subpopulations. The two most obvious 
environmental parameters are salinity and water tempera- 
ture, because both form latitudinal clines within the bay 
(see Materials and Methods). Also, there is a positive rela- 
tionship between eigenvector coefficients of the principle 



CRASSOSTREA VIRG1NICA IN CHESAPEAKE BAY 



165 



component analysis for oyster spat recruitment, salinity, 
water depth of the oyster bars, deme genie polymorphism, 
and observed individual heterozygosity (see Results). It 
must be assumed that some environmental selective effect 
existed that counteracted migration to establish a balance 
among these evolutionary forces (i.e., migration and selec- 
tion) and was responsible for the partitioning of subpopula- 
tions. A possible candidate would be Haplosporidiwn 
nelsoni (Haskin) (MSX) disease which has a history of 
periodically reoccurring among oyster populations along 
the Atlantic coast of North America (Andrews and Wood 
1967. Haskin and Ford 1982). In Chesapeake Bay, this 
disease has at times produced heavy mortality among 
oyster bar in the high-salinity areas of the lower bay while 
the disease has had no apparent affect among oysters that 
inhabit the low-salinity environment of the upper bay. 

The occurrence of bivalve subpopulations has been 
hypothesized in some instances to explain heterozygote 
deficiencies among allozyme genotypes of Mytilus 
californianus (Conrad) (Tracey et al. 1975), Mytilus edulis 
(Linnaeus) (Boyer 1974), Tridacna maxima (Roding) 
(Ayala et al. 1973), and Crassostrea virginica (Zouros et al. 
1980). If the allele frequencies from two genetically 
different sampling localities are pooled and Hardy-Weinberg 
equilibrium frequencies are estimated as if the sample 
represented one population, the expected frequencies of 
heterozygous individuals would be over estimated (i.e., 
the Wahlund effect). When considering the Wahlund effect, 
it is important to emphasize that (1) the allele frequencies 
among denies must be different to be able to detect a signi- 
ficant deficit of heterozygous genotypes, and (2) the effect 
is uniform over all loci which exhibit genie differentiation 
among denies. A measure commonly used to detect hetero- 
zygote deficiences among allozyme genotypes is the "D" 
statistic (Koehn et al. 1973) in which a positive value 
indicates a heterozygote excess and a negative value a 
heterozygote deficit. This value has been recorded in 
Table 2 for all polymorphic loci across the ten sampling 
localities. A predominant deficit of heterozygous genotypes 
was found for the Est-3, Lap-2, and 6Pgdh loci over the 
ten sampling sites. Zouros et al. (1980) also reported hetero- 
zygote deficits for Est— 3 and Lap-2 among their largest 
weight classes of C. virginica collected from Malpeque Bay, 
Nova Scotia. Canada. Contrary to the deficiency of hetero- 
zygotes. an excess of heterozygote genotypes occurred at 
the Adk—l, Est— I, and Mpi-2 loci across the ten oyster 
bars. Of these six loci, significant heterogeneity occurred 
across oyster bars (ref: F s t analysis. Table 4)forthe.4cr7c— 1 , 
Est— 1, Est -3, Mpi-2, and 6Pgdh loci. The Wahlund effect 
may be responsible for the deficit of allozyme heterozygotes 



which has been reported among marine bivalves if only two 
alleles are involved. When three or more alleles are present, 
it is possible to generate an overall excess of heterozygous 
genotypes (Li 1969, Milkman 1975, Koehn et al. 1976). 
The Est-3, Lap-2, and 6Pgdh loci generally have two 
common alleles while the Adk—l, Est-l, and Mpi— 2 loci 
have three or more common alleles. Consequently, the 
Wahlund effect can explain both excesses and deficits of 
heterozygous genotypes within a collecting locality. 
Balancing selection has also been used to explain hetero- 
zygote deficits in marine bivalves (Koehn and Mitton 1972; 
Koehn et al. 1973, 1976; Mitton et al. 1973; Boyer 1974) 
while a heterozygote advantage has been used to explain 
heterozygote excesses among bivalves (Buroker 1979. 
Fujioetal. 1979, Zouros et al. 1980). 

In conclusion, the levels of genetic variation for 
Crassostrea virginica in Chesapeake Bay coincide well with 
those found for other geographical populations along the 
Atlantic coast of North America (Buroker 1983). Although 
the genetic distances among oyster bars in the bay were 
small, interdemic heterogeneity was found for 23 of 41 
alleles tested. It was by means of this among-locus variation 
across oyster bars that subpopulations were classified 
primarily by principle component and discriminant analyses. 
The subpopulations and among-locus variation across oyster 
bars are thought to be maintained through a balance 
between migration and selection. Because this study only 
draws attention to the possibility of population differenti- 
ation among marine bivalves with long planktonic stages of 
larval development, the findings of this report should be 
thoroughly tested by investigations which analyze the 
temporal genetic stability of recruits as compared to 
resident individuals. 

ACKNOWLEDGMENTS 

I express my gratitude to the Maryland Sea Grant 
Program (under the National Oceanic and Atmopsheric 
Administration, United States Department of Commerce); 
the Marine Products Laboratory, Center for Environmental 
and Estuarine Studies, University of Maryland; and the 
Charles and Johanna Busch endowment. Bureau of Biological 
Research. Rutgers University, which have in part supported 
this research. I also thank Michael E. Douglas. Richard K. 
Koehn, James F. Leslie, Roger D. Milkman, and Robert C. 
Vrijenhoek for their constructive criticism; and William 
Browning, Evelyn Dicey, and Diane Pruitt for their assistance 
throughout this study. Very special thanks are accorded to 
George Krantz for the oyster samples used in this study and 
for providing information on the history of the Chesapeake 
Bay oyster bars. 



166 



BUROKER 



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Journal of Shell fish Research. Vol. 3, No. 2, 169-174, 1983. 



FEASIBILITY OF MARICULTURE OF THE HARD CLAM 

MERCENARIA MERCENARIA (LINNE) 

IN COASTAL GEORGIA 



RANDAL L. WALKER 

Skidaway Institute of Oceanography 
P.O. Box 13687 
Savannah, Georgia 31416 

ABSTRACT Caging, baffles, and the utilization of feeder creeks and tent structures were tested as predator controls to 
determine if mariculture of the hard clam Mercenaria mercenaria (Linne) is feasible in coastal waters of Georgia. Clams 
were planted at densities of 509, 1009, 2018, and 3027 clams m~ 2 in replicate plots within predator-free cages on an 
intertidal sandflat at Cabbage Island, Wassaw Sound, Georgia. Seed clams grew from a mean shell length (SL) of 6 to 24 mm 
in 7 months with no observed density effects on survival or growth (ANOVA a = 0.05). Seed clams (4,000 of 10-mm SL 
and 40 of 25-mm SL) were planted in replicate plots (2.25 m 2 ) of baffles and mud, baffles, mud and tops, baffles and 
gravel, and baffles and mixed oyster shells. No differences in survival were evident between test treatments for either seed 
size (ANOVA °= = 0.05). Seed clams (76 of 30-mm SL and 4,000 of 5-mm SL) were planted on the bottom of a feeder 
creek in replicate plots of mud, mud plus mixed oyster shells, mud plus tent, and mud with shells and tent. Survival for the 
30-mm SL seed clams ranged from 43 to 86% and was < 1% in all plots for 5-mm SL seed clams. No differences in percent 
survival were evident between plots for either size class (ANOVA cc= 0.05). A plan is presented for hard clam mariculture 
in the coastal waters of Georgia. 

KEY WORDS Hard clams, Mercenaria mercenaria, mariculture, predation. Georgia. 



INTRODUCTION 

The hard clam Mercenaria mercenaria (Linne) represents 
a new and potentially important supplemental fishery for 
the state of Georgia. The potential of the fishery is viewed 
primarily as an off-season fishery for the blue crab 
(Callinectes sapidus [Rathbun] ) fishermen in Georgia. 

The extent of the hard clam resource in Georgia is 
unknown. Godwin (1967, 1968) conducted a clam survey 
of 432 stations in inshore Georgia waters (estuaries and 
creeks). Clams occurred at 41 stations, primarily in inter- 
tidal, higher saline areas with sand-mud or sand-mud-shell 
substrates. Godwin (1967) reported a maximum clam den- 
sity of 16 m" 2 (151 • 100 ft" 2 ) with a mean density of 
5 clams m~ 2 , and concluded that, at that time, a commercial 
hard clam fishery was not feasible. 

In more northern U.S. waters, M. mercenaria occurs pri- 
marily subtidally in sounds or estuaries. In Georgia, however, 
most clam beds in Wassaw Sound are located intertidally in 
the headwaters of major creeks, in the small feeder creeks, 
among live oysters, or among oyster-shell deposits associated 
with live oyster reefs at densities of up to 100 clams m~ 2 
(Walker et al. 1980, Walker and Tenore [in press]). Areas 
with densities greater than 25 clams m~ 2 are not uncommon 
in the small feeder creeks and in the headwaters of the major 
creeks of the higher saline areas of the Sound. These 
densities are much higher than those reported by Godwin 
(1967) and could support a small commercial fishery. 
Though dense, these clam beds are small and are easily 
overfished. For example, one clam bed of approximately 
90-m 2 area which had a mean density of 49 clams m" 2 
occurs in a feeder creek (3X61 m) located on a Wassaw 



Island, a National Wildlife Refuge. This bed was illegally 
fished in 1981 and the mean density decreased from 49 to 
21 clams m" 2 within a week (Walker, in preparation). Suscep- 
tibility to overfishing may explain the sporadic nature of 
the hard clam fishery during the past 103 years in Georgia 
(Walker et al. 1980). 

One method of maintaining clam production in Georgia 
may be through clam mariculture. Clams grow year around 
in the coastal waters of the southeastern United States 
(Eldridge et al 1976), and Georgia has vast areas suitable 
for shellfish culturing. The major problem with clam 
mariculture in Georgia is predation by blue crabs (Walker 
et al. 1980) and mud crabs (Panopeus herbstii [Say] ) 
(Whetstone and Eversole 1977). Methods for reducing clam 
predation include fencing, caging, utilizing various types of 
aggregates (gravels, shell), and baffles (Kraeuter and Castagna 
1980, Castagna and Kraeuter 1981). The purpose of this 
paper is to discuss the feasibility of clam mariculture in the 
coastal waters of Georgia. 

Study Site Location 

Wassaw Sound (Figure 1 ) is an estuarine embayment 
located in the Georgia Bight (Howard and Frey 1980). Tides 
are semidiurnal and average 2.4 m amplitude, with spring 
tides ranging approximately 3.4 m (Hubbard et al. 1979). 
Water temperatures range from 8 to 30°C (Dorjes 1972) 
and salinities at the mouth of the Sound range from 20 ppt 
in the winter to 30 ppt in the summer (Howard and Frey 
1980). Sediments range from silty clay to fine sand; inter- 
bedded sand-mud is the most prevalent sediment (Howard 
and Frey 1975). 



169 



170 



Walker 




Figure 1. Wassaw Sound showing various experimental study sites. 



MATERIALS AND METHODS 

Clams were obtained from Aquaculture Research Corpor- 
ation, Dennis, Massachusetts, in June 1982, and planted 
and maintained at different densities (509, 1009, 2018, and 
3027 m' 2 ) within 1 - X 1 - X 0.3-m cages constructed of 3-mm 
mesh Vexar® plastic. The plastic mesh was attached to 
1- X 1-X 1-m frames constructed of 1 3-mm steel reinforcing 
rods. The resulting structure was buried to a depth of 
0.85 m into a sandy sediment on an intertidal flat at 
Cabbage Island. G A (Figure 1 ). Cages were sampled monthly 
to a sediment depth of 10 cm, with sediment, clams and 
crabs sieved through a 5-mni mesh screen. Clams were 
counted and a subsample (n = 70) was measured for shell 
length (anterio-posterior measurement); the clams were 
then returned to their original plot. Crabs were identified as 
to species, measured for carapace width, and discarded. 
Differences in clam growth rates were determined by 
analysis of covariance (ANCOVA). 



In October 1982, 2.25-m 2 replicate plots of baffles and 
mud, baffles, mud and tops, baffles and 151 C of mixed 
oyster shell, and baffles and 151 C of crushed aggregate 
gravel (No. 57, coarse; mean diameter = 5 cm) were set up 
on an intertidal mud flat at House Creek (Figure 1). Baffles 
were constructed of 6-mm mesh Vexar® plastic attached to 
a 13-mm steel reinforcement rod. Four baffles were buried 
in the mud at right angles to each other until the Vexar® 
plastic was 0.15 m deep. Baffles were allowed to stand 
2 months before the shell, gravel, or tops were added. After 
two weeks, 40 seed clams of 2-cm SL (18 m~ 2 ) and 400 
seed clams of 1 -cm SL ( 1 78 m" 2 ), each size class identifiable 
by color codes using Krylon® spray paint, were placed into 
each plot. Tops constructed of 25-mm mesh Vexar® 
plastic (i.e., bird netting) were attached to two plots after 
seeding. Plots were sampled as above in July 1983. The 
mean survival percentage was determined for each plot and 
clam size class. The resulting data were examined statistically 
by analysis of variance (ANOVA). 



Feasibility of Mariculture of Hard Clam in Georgia 



171 



In October 1982. experimental plots (3.7 X 4.3 m) were 
established in two mud-bottom feeder creeks located at 
Wassaw Island (Figure 1). Wild clams were removed by 
raking. The following replicate plot types were set up: mud 
bottom, mud bottoms with 151 £ of washed oyster shell, 
mud bottoms with a "tent structure," and mud bottoms 
with 151 £ of shell and a tent structure. Tents were con- 
structed of 13-mm Vexar® plastic which was cut into 
3.7 X 4.3-m sections. Along the long sides 13-mm steel 
reinforcement rods were attached and along the short 
sides 3.7 m of 13-mm galvanized chain was attached and 
buried in the substrate. Four, 15-cm diameter styrofoam, 
crab-trap floats were attached along the midline of the 
structure. At low tide the structure rested flat on the 
bottom and floated into a pup-tent form as the tide entered 
the creek. 

Each plot was seeded with 4,000 clams of 0.5 cm SL 
(251 m" 2 ) and 76 clams of 3.0-cm SL (5 irf 2 );each size 
class was color coded using Krylon® spray paint. In 
addition, four plots, one of each test variable, received 80 
of 1-cm SL and 45 of 2-cm SL seed clams. Whole plots were 
sampled in August by sieving sediments to a depth of 10 cm 
and clams through a 5-mm mesh screen. The clams were 
counted and shell lengths were determined using vernier 
calipers. The numerical data were statistically analyzed by 
analysis of variance. 

RESULTS 

No significant differences existed in growth rates 
(ANCOVA cc = 0.05), in final shell length (ANOVA « = 
0.05), or in survival per density per month (ANOVA oc = 
0.05). Clams grew from an initial mean shell length of 6.1 
to 23.9 mm (Table 1) from June 1982 to January 1983. 
Growth rates at each density are given in Figure 2. 
Instantaneous clam survival was lowest in July (76.5%) 
but exceeded 99.0% by October (Table 2). 

In the baffle experiment, total clam survival was greater 
for the 2.5-cm seed clams (72%) than for the 1.0-cm clams 
(23%). No significant differences existed between protec- 
tive methods (ANOVA <* = 0.05) for either the 2.5- or 1 .0-cm 
clams; however, survival percentages per treatment were as 
follows: (1.0-cm size class) mud, baffles, and top (29%), 
mud and baffles (26%), shell and baffles (23%), and gravel 
and baffles ( 1 l%);(2.5-cm size class) mud and baffle (88%), 
shell and baffle (73%), mud. baffle, and top (68%), and 
gravel and baffle (45%). 

In the tidal creek experiments, total clam survival 
decreased with decrease in clam size as follows: 3 cm 
(66%) > 2 cm (57%) > 1 cm (40%) > 0.5 cm (0.04%). 
For the 3-cm size class, no significant differences existed 
between plots (ANOVA « = 0.05); however, clam survivals 
per treatment were as follows: shell and tent (86%) > mud 
and tent (70%) > shell (62%) > mud (43%). For the 5-mm 
clams, no significant differences existed in clam survival 
between plots (ANOVA <* = 0.05). Mortality of 5-mm clams 



exceeded 99% in all plots. For the 2-cm clams, 76% were 
recovered from shell and tent plots, 64% from mud and 
tent plots, 53% from shell plots, and 4% from mud plots. 
For the 1.0 cm clams, 81% were recovered from the shell 
and tent plot, 73% from the shell plot, 4% from the mud 
plot and 0% from the mud and tent plot. 

DISCUSSION 

Mortality reduction is essential to any successful clam 
mariculture program. The size(s) at which hard clams are 
no longer preyed upon by different predators are as follows: 
Cancer irroratus Say (1 5 mm)(MacKenzie 1977), Urosalpinx 
cinerea Say (20 mm) (MacKenzie 1977), Panopeus herbstii 
(35 mm) (Whetstone and Eversole 1981), Callinectes sapidus 
(40 mm) (Arnold 1983). and Menippe mercenaria (Say) 
(70 mm) (Arnold 1983). Whelks of the genus Busycon prey 
on all sizes of clams (Peterson 1982). If unprotected seed 
clams are planted in the field, they are preyed upon by a 
host of predators. Menippe mercenaria and Busycon whelks 
are capable of preying upon commercial-size clams. Thus, 
some means of protection is mandatory. 

Clam mariculture attempts in the field using various 
methods of seed protection have had mixed success. Seed 
clams (10 mm) which were planted in unfenced and fenced 
plots with 1.8-m high and 13-mm mesh plastic screen in 
Florida resulted in 100% mortality (Menzel and Sims 1964). 
Clams ranging from 33- to 44-mm SL that were planted in 
those plots suffered 100% mortality in the unfenced plots 
and less than 5 to 18% mortality in fenced plots (Menzel 
and Sims 1964). Seed clams that were planted in fenced 
plots in Virginia averaged 94% survival as compared to 8.8% 
for those in unfenced plots (Kraeuter and Castagna 1980). 
Field experiments in Virginia, using crushed rocks, pea 
gravel, crushed oyster shell, or whole oyster shell as pro- 
tective cover for 0.6 to 20-mm seed clams, resulted in 
survivals greater than 80% as compared to 15 to 35% 
survival in unprotected control plots (Castagna 1970); 
however, in Florida, the survival rate of seed clams (4 to 
20 mm) was 10% in plots with pea gravel, 2% in crushed 
oyster shell, and less than 1% in controls (Menzel et al. 
1976). Fenced clam plots in Chesapeake Bay did not 
increase survival; however, gravel did increase clam survival 
by 10% for 2 to 17-mm seed clams (Haven and Loesch 1973). 
Thus, depending upon location and environmental condi- 
tions, the use of these protective measures may result in 
widely varying rates of survival. 

Acceptable survival in Georgia (> 70%) resulted for seed 
clams greater than 20 mm when protected by baffles, 
baffles and shell, shell and tents, and for seed clams greater 
than 10 mm when planted in cages. The survival of seed 
clams in cages is dependent upon the monthly removal of 
crabs, Callinectes sapidus and/or Panopeus herbstii, which 
probably entered cages as metamorphosing juveniles 
(Figure 3). In similar cages, which were planted earlier at 
the same site, seed-clam (10 mm) survival in the first year 



172 



Walker 



TABLE 1. 

Growth (in mm) of hard clams that were planted at densities of 509, 1009, 2018, and 3027 m 
on an intertidal sandflat at Cabbage Island, Georgia. 

Densities 







509 m~ 2 




1009 m 2 


2018 m" 


-2 




3027 m 


-2 


Date 


Plot 1 




Plot 2 


Plot 1 


Plot 2 


Plot 1 


Plot 2 


Plot 1 




Plot 2 


June 1982 


6.1 




6.1 


6.1 


6.1 


6.1 


6.1 


6.1 




6.1 


July 1982 


8.5 




8.4 


8.7 


8.8 


8.9 


9.0 


8.2 




8.9 


August 1982 


11.0 




12.1 


11.9 


12.0 


12.7 


11.3 


12.3 




11.1 


September 1982 


13.3 




11.9 


13.2 


14.0 


12.0 


13.0 


12.4 




13.0 


October 1982 


18.3 




16.4 


17.8 


18.0 


16.9 


17.9 


17.5 




17.1 


November 1982 


23.3 




21.3 


22.6 


23.7 


21.5 


22.1 


21.5 




21.5 


December 1982 


24.0 




21.4 


22.7 


24.4 


21.5 


23.3 


22.2 




21.5 


January 1983 


25.2 




22.7 


24.6 


25.7 


22.3 


25.0 


23.5 




22.3 



30 



E 



c 
d> 



to 

E 

o 



20 



|- j 500m" 2 y= 5.55x 071 r 2 0.9677 
\ 1000m" 2 y= 5.63x 072 r 2 0.9777 
{ 2000m" 2 y=5.70x 069 r 2 9715 
[ 3000m"2 y = 5.67x 0B8 r 2 0.9741 

r SjD. 

x 



10 




Jun Jul Aug Sept Oct Nov Dec Jan 
Time(months) 

Figure 2. Growth (in mm) of hard clams, Mercenaria mercenaria, 
planted at different densities in cages at Cabbage Island, GA. Data 
points represent the mean of replicate densities. Y = shell length (in 
mm) and x = time (in months). 

TABLE 2. 

Mean survival percentage per clam density per month for 

hard clams that were planted in protective cages on an 

intertidal sandflat at Cabbage Island, GA. 







Densities 




Overall 


Date 


509 2 


1009 m~ 2 


2018 m 2 


3027 m 2 


Survival 


July 82 


89.3 


66.2 


83.3 


59.5 


76.5 


Aug 82 


86.6 


95.0 


87.6 


85.9 


87.9 


Sep 82 


83.0 


97.3 


94.8 


95.5 


94.6 


Oct 82 


100.0 


100.0 


99.1 


99.7 


99.6 


Nov 82 


99.1 


99.5 


100.0 


99.2 


99.5 


Dec 82 


100.0 


99.1 


100.0 


100.0 


99.9 


Jan 83 


98.2 


97.7 


99.1 


99.7 


99.1 


Final mean 












survival 












percentage 


62.5 


59.0 


67.9 


48.1 


62.4 



6 1 



5 " 



-Q 



0) 

1 ■ 

2 



Blue Crabs 



I — I Mud Cr 



abs 



I 




a 



Aug Sep Oct 

1982 



Nov 



Dec 



Jan 

1983 



Figure 3. Number and species of crabs removed monthly from 
experimental clam cages located on an intertidal sandflat at Cabbage 
Island, GA. (The number in parenthesis is the mean carapace width 
per crab species.) 

ranged from 14 to 31% because crabs were not removed 
monthly but seasonally and they grew large enough to prey 
upon the clams within the cages (Walker, in preparation). 

The following mariculture program is considered feasible 
for the coastal waters of Georgia. Seed clams (6 mm), 
which are planted at densities of up to 3,027 m" 2 , can be 
grown to a shell length greater than 20 mm within 7 months 
with greater than 80% survival if they are planted in spring/ 
summer and if crabs are removed from their cages at least 
monthly. Once the clams reach a shell length of 25 mm, 
they can be transplanted into plots with baffles or into 
creeks using shell cover and/or tent structures as protective 
cover, or left in cages after densities are reduced (Walker. 
in press). 

In Georgia, small feeder creeks (defined as being generally 
less than 4.5 m in width and several hundred meters in length) 



Feasibility of Mariculture of Hard Clams in Georgia 



173 



appear to be the best habitat for clam mariculture. Feeder 
creeks generally drain at low tide or retain standing pools 
behind oyster reef "dams" which are located at the mouth 
of or within the creeks. Wild clams may occur in high 
densities (up to 100 nf 2 ) within feeder creeks. The growth 
rates of clams in feeder creeks do not differ from those 
from other habitats; however, clams usually grow faster in 
sandy substrates (Rhoads and Panella 1970, Kennish and 
Olsson 1975). 

Many clam predators in Georgia do not occur in feeder 
creeks. The Atlantic oyster drill Urosalpinx cinerea (Say) 
usually occurs at the mouth of and rarely within feeder 
creeks (Walker 1981). The southern oyster drill Thais 
haemastoma (Conrad) and the starfish Asterias forbesi 
(Desor) have not been found in feeder creeks (Walker 
1982). The whelks, Busycon carica (Gmelin) and B. 
contrarium (Conrad) generally do not occur in feeder 
creeks. These creeks also provide a physically less dynamic 
environment than do major creeks or open areas of the 
sounds which are exposed to wave action. 

Baffles, cages and pens, which were placed in major 
creeks or open areas of the sounds in Georgia, have not 



been successful in protecting clams. Cages that were buried 
in sandy sediment on intertidal flats at Cabbage Island and 
anchored with approximately 16 kg of bricks were washed 
out during winter storms, completely buried by shifting 
sediments, or so severely damaged that clams washed out 
(Walker, in preparation). Baffles, which were placed in 
feeder creeks, creeks or areas of the open sound, have met 
with similar fates. Furthermore, pens, cages and baffles were 
often vandalized by boaters and sports fishermen or run over 
by boaters. Beds that are located in small feeder creeks 
are nominally protected from boats, people (vandals), and 
wave action, and represent a valuable fishery resource to 
the state of Georgia. 

ACKNOWLEDGMENTS 

The author thanks Drs. E. Chin, J. Harding, R. Mann, 
D. Menzel, and K. R. Tenore plus two anonymous individ- 
uals for reviewing the manuscript. Special thanks are given 
to Ms. A. Boyette and Ms. Suzanne Mcintosh for the 
graphics, and to Ms. L. Land for typing the manuscript. The 
work was supported by the Georgia Sea Grant Program 
under grant number USDC-RF/8310-21-RR100-102. 



REFERENCES CITED 



Arnold, W. S. 1983. The effects of prey size, predator size, and 
sediment composition on the rate of predation of the blue crab 
{Callinectes sapidus Rathbun), on the hard clam (Mercenaria 
mercenaria Linne). Athens, GA: LIniv. of Georgia; Thesis. 47 p. 

Castagna, M. A. 1970. Field experiments testing the use of aggregate 
covers to protect juvenile clams. Proc. Natl. Shellfish. Assoc. 
70:2 (Abstract). 

& J. N. Krauetei. 1981. Manual for growing the hard 

clam, Mercenaria. Va. Inst. Mar. Sci. Spec. Sci. Rep. Appl. Mar. 
Sci. Ocean Engin. No. 249; 110 p. 

Dorjes. J. 1972. Georgia coastal region, Sapelo Island, U.S.A.: 
Sedim'entology and biology. VII. Distribution and zonation of 
macro-benthic animals. Senckenb. Marit. 4:182-216. 

Eldridge, P. J., W. Waltz, R. C. Gracy & H. H. Hunt. 1976. Growth 
and mortality rates of hatchery seed clams, Mercenaria mercenaria 
in protected trays in waters of South Carolina. Proc. Natl. 
Shellfish. Assoc. 66:13-20. 

Godwin, W. F. 1967. Preliminary survey of a potential hard clam 
fishery. Ga. Game Fish Comm. Contrib. Ser. 1:23 p. 

. 1968. The distribution and density of the hard clam, 

Mercenaria mercenaria, on the Georgia coast. Ga. Game Fish 
Comm. Contrib. Ser. 10:30 p. 

Haven, D. S. & J. G. Loesch. 1973. An investigation into commer- 
cial aspects of the hard clam fishery and development of com- 
mercial gear for the harvest of molluscs. Gloucester Point, VA: 
Virginia Institute for Marine Science; Annual Contract Rep. 
No. 3-124F;91 p. 

Howard, J. D. & R. W. Frey. 1975. Estuaries of the Georgia coast, 
U.S.A.: Sedimentology and biology. II. Regional animal-sediment 
characteristics of Georgia estuaries. Senckenb. Marit. 7:33-103. 

. 1980. Holocene depositional environments of the Georgia 

coast and continental shelf. Howard, J. D.. C. B. DePratter and 
R. Frey, eds. Excursions in Southeastern Geology: Tlie 
Archaeology-Geology of the Georgia Coast. Guidebook 20: 
66-134. 

Hubbard, D. K., G. Oertel and E. Nummendal. 1979. The role of 



waves and tidal currents in the development of tidal-inlets 

sedimentary structures and sand body geometry: examples from 

North Carolina. South Carolina and Georgia. J. Sediment. Petrol. 

49:1073-1092. 
kennish, M. J. & R. K. Olsson. 1975. Effects of thermal discharges 

on the microstructural growth of Mercenaria mercenaria. Environ. 

Geol. 1:41-64. 
Kreauter, J. N. & M. Castagna. 1980. Effects of large predators on 

the field culture of the hard clam, Mercenaria mercenaria. U.S. 

Natl. Mar. Fish. Serv. Fish. Bull. 78:538-541. 
Mackenzie, C. L., Jr. 1977. Predation on hard clam (Mercenaria 

mercenaria) populations. Trans. Am. Fish. Soc. 106:530-537. 
Menzel, R. W. & H. W. Sims. 1964. Experimental farming of hard 

clams, Mercenaria mercenaria, in Florida. Proc. Natl. Shellfish. 

Assoc. 53:103-109. 
Menzel, R. W., E. W. Cake, M. L. Haines, R. E. Martin & L. A. Oslen. 

1976. Clam mariculture in northern Florida: field study on 

predation. Proc. Natl. Shellfish. Assoc. 65:59-62. 
Peterson, C. H. 1982. Clam predation by whelks (Busycon spp.): 

Experimental tests of the importance of prey size, prey density 

and seagrass cover. Mar. Biol. (Woods Hole) 66:159-170. 
Rhoads, D. C. & G. Panella. 1970. The use of molluscan shell growth 

patterns in ecology and paleoecology. Lethaia 3:143-161. 
Walker. R. L. 1981. The distribution of the Atlantic oyster drill, 

Urosalpinx cinerea (Say), in Wassaw Sound, Georgia. Ga. J. Sci. 

39:126-139. 
. 1982. The gastropod, Thais haemastoma, in Georgia: 

T. h. floridana or T. h. canaliculata? Gulf Res. Rep. 7:183-184. 
__^_ . (in preparation! Population dynamics of the hard clam. 



Mercenaria mercenaria (Linne), and its relation to the Georgia 
hard clam fishery. Atlanta, GA: Georgia Inst, of Technology; 
Thesis. 
. (in press) Effects of density and sampling time on the 



growth of the hard clam, Mercenaria mercenaria, planted in 
predator-free cages in coastal Georgia. Nautilus 98. 
, M. A. Fleetwood & K. R. Tenore. 1980. The distribution 



174 Walker 

of the hard clam, Mercenaria mercenaria (Linne), and clam Whetstone, J. M. & A. G. Eversole. 1977. Predation on hard clams, 

predators in Wassaw Sound, Georgia. City, State: Ga. Mar. Sci. Mercenaria mercenaria, by mud crabs, Panopeus herbstii. Proc. 

Cen. Tech. Rep. 80-8;59 p. Natl. Shellfish. Assoc. 68:42-48. 

Walker, R. L. & K. R. Tenore. (in press) The distribution and . 1981. Effects of size and temperature on mud crabs, 

production of the hard clam, Mercenaria mercenaria. in Wassaw Panopeus herbstii, predation on hard clams, Mercenaria mercenaria. 

Sound, Georgia. Estuaries 1. Estuaries 4: 153—156. 



Journal of Shellfish Research, Vol. 3, No. 2, 175-182, 1983. 

WATER QUALITY FLUCTUATIONS IN RESPONSE TO VARIABLE LOADING 
IN A COMMERCIAL, CLOSED SHEDDING FACILITY FOR BLUE CRABS 



DON P. MANTHE 1 , RONALD F. MALONE 1 
AND HARRIET M. PERRY 2 

1 Department of Civil Engineering 
Louisiana State University 
Baton Rouge, LA 70803 

2 Gulf Coast Research Laboratory 
Ocean Springs, Mississippi 39564 



ABSTRACT A commercial, closed, recirculating seawater facility using biological filters for control of nitrogenous 
metabolites is described. The volume of each system was 7,560 v. Loading densities of over 1,000 crabs (Callineetes sapidus 
Rathbun) were maintained in each system. Water quality parameters (NH 3 -N, N0 2 -N, NO3-N, pH, dissolved oxygen, 
salinity, temperature, alkalinity) affecting crab survival at molting were monitored for a 2-month period, and safe opera- 
tional ranges were established. Alkalinity and pH values declined in the systems, demonstrating a limited buffering capacity. 
Values of NO3-N exceeding 350 mg/C were observed with no apparent effects to the crabs. Increased molting mortality 
was observed when concentrations of nitrite approached 1.6 mg/C N0 2 -N. Nitrite accumulations were associated with 
depressed oxygen levels which were induced by peak system loadings or equipment failure. Successful molting rates in 
excess of 957c were achieved at nitrite and ammonia concentrations below 1 mg/P. 

KEY WORDS Aquaculture, biological filter, blue crab, Callineetes sapidus, closed system, molting, water quality 



INTRODUCTION 

Reported landings for soft-shell crabs have declined 
drastically in most states harvesting the resource (Jaworski 
1971 ; Otwell et al. 1980;Perry, Ogle and Nicholson 1982). 
According to Jaworski (1971) the reduced production is 
attributed to a deterioration of coastal zones and accom- 
panying decline in water quality. Despite the decline in 
landings, the value of soft-shell crabs has continued to rise 
in the Gulf of Mexico area and averages S4.50 Kg" 1 as 
compared to SI. 94 Kg" 1 in 1970 (Perry et al. 1982). 

Traditionally, premolt blue crabs were collected and 
held in natural waters in floating boxes or pens until they 
molted (Haefner and Garten 1974). The continuing decline 
in coastal water quality and subsequent increase in mortality 
of molting crabs have forced fishermen to turn to onshore 
facilities to reduce crab losses during molting (Jaworski 
1982). The potential value of using closed, recirculating 
seawater systems for maintaining molting crabs has been 
demonstrated by a few successful commercial operators 
(Perry, Ogle and Nicholson 1982). Recirculating systems 
reduce labor requirements and eliminate the exposure of 
crabs to deleterious environmental effects during the vulner- 
able molting period; however, their success has been 
marginal because of the lack of established design criteria 
and management guidelines (Van Gorder and Fritch 1980, 
Ogleetal. 1982). 

In the Gulf of Mexico, where crab fishermen are often 
limited by the availability of premolt blue crabs, shedding 
operators strive for a molting mortality of less than 5% to 
maintain production and commercial viability. On the 
eastern coast of the United States, commercial shedding 



systems generally have access to an abundance of crabs 
and, therefore, can absorb a higher crab mortality (5 to 
40%). 

The operation of a successful, closed, recirculating 
aquaculture system depends on the maintenance of accept- 
able water quality. Wheaton (1977) and Spotte (1979) 
summarized the ability of biological filters in the closed 
systems to convert ammonia (NH 3 ), the principal nitro- 
genous excretory metabolite of Crustacea (Hartenstein 
1970), to the relatively nontoxic nitrate (N0 3 ) by bacterial 
nitrification. 

In 1982. a project was initiated to establish production 
levels and operating parameters for closed, recirculating 
seawater systems currently used to hold shedding crabs. 
This approach provided a unique opportunity to comple- 
ment experimental research on molting crabs (Manthe et al. 
in press) with direct observations and data from the com- 
mercial sector. In this report we describe the influence 
of commercial operating procedures on water quality in a 
large-scale shedding facility. 

MATERIALS AND METHODS 

Description of Commercial Facility 

The commercial shedding operation was located in an 
uninsulated building in LaCombe, LA. The facility con- 
sisted of two separate systems (Figure 1 ), each with eight 
holding tanks, two biological filters, one algal tank, and a 
reservoir. The reservoir was located outside the building 
and was partially buried in the ground. The facility is a 
modification of one described by Perry. Ogle and Nicholson 



175 



176 



Manthe. Malone and Perry 



rn 



2- 



CRAB TANK 



Q 






-Mr 



BIOLOGICAL FILTER 



\ 



ALGAE FILTER 



RESERVOIR 



r, 



EL 



CRAB TANK Vf 






& 



BIOLOGICAL FILTER 



"Lj 



Figure 1. Schematic diagram of one of the commercial systems. 



(1982). Descriptions and dimensions of the fiberglass tanks 
are presented in Table 1 . 

TABLE 1. 
Dimensions of Commercial System. 

Water 
Length Width Depth Depth Area Volume 
Description (m) (m) (m) (m) (m 2 ) (m ) 



Crab tank 


2.44 


1.07 


0.30 


0.13 


2.61 


0.34 


Biological 














Filter 


2.44 


0.91 


0.30 


0.24 


2.22 


0.53 


Shell 














Filter Bed 


2.29 


0.91 


0.08 


— 


2.08 


0.17 


Dolomite 














Filter Bed 


2.29 


0.91 


0.04 


— 


2.08 


0.08 


Carbon 














Filter Bed 


2.29 


0.91 


0.03 


-- 


2.08 


0.06 


Algal Filter 


2.44 


0.91 


0.30 


0.24 


2.22 


0.53 


Holding 














Reservoir 


2.74 


1.37 


1.52 


1.07 


3.75 


4.02 



Water levels in the crab tanks were controlled by 12.7-cm 
standpipes constructed from 3.2-cm polyvinylchloride (PVC) 
pipe. Water input to the discharge nozzle in the crab tanks 
consisted of capped 1.3-cmPVC pipe with two 0.3 cm holes 
to promote active aeration in the tanks. 

The biological filters were constructed with a fiberglass 
partition that was positioned 15.2 cm from one end of the 
tank with holes drilled in the lower 2.5 cm of the partition. 
The head chamber received the overflow from the crab tanks 



through the standpipe that discharged beneath the water 
level in the head chamber. The function of the head 
chamber was to direct water flow under the submerged, 
updraft, biological filter. The biological filter consisted of 
a 7.6-cm layer of washed clam shells (Rangia cuneata) 
(2- to 3-cm diameter) on the bottom, overlaid by 3.8 cm of 
dolomite (3-mm grain size), and 2.5 cm of activated carbon 
(1- to 3-mm grain size) (Figure 2). Each layer of medium was 
separated by nylon window screen. The filter bed rested 
on 1 .3-cm egg crate louvering supported by 2.5-cm PVC 
pipe lengths. The water level in the biological filter was 
approximately 5 cm above the top of the activated carbon 
bed; overflow to the algal tank was provided through a 
5.1-cm PVC pipe. Theoretically, the biological filters per- 
formed two main functions: mineralization and nitrifica- 
tion. These functions take toxic nitrogen waste products 
produced by the crabs and convert them to relatively 
nontoxic forms. By design rational, buffering was accom- 
plished using carbonate filtrants (shell and dolomite), and 
physical adsorption of dissolved organic carbon occurred 
on activated marine carbon. 

The algal tank contained 1 1 baffles that alternately 
extended to within 7.6 cm of the tank sides. Attached algae 
grew on the sides of the baffles and water flowed in a 
serpentine fashion from one end of the tank to the other. 
Another 5.1-cm PVC pipe, from the other four crab tanks 
and biological filter in each system, drained into the algal 
tank half way through each filter. Each algal filter was 
illuminated by two 1.2-m fluorescent fixtures which 
contained four 40-W Grow Lux® lights. Plants in the 



Water Quality Fluctuations in a Commercial Shedding Facility 



177 




Figure 2. Cross section of biological filter. 



systems included water milfoil (Myriophyllum sp.) that 
floated on the algal filter surface, and attached filamentous 
green algae on the filter walls. No algae were harvested from 
either of the systems and the algal filters were provided 
with a constant light regime. Water flowed by gravity from 
the algal filters and was carried by 7.6-cm PVC pipe through 
the wall of the building to the partially buried reservoir 
outside. The algal filters were incorporated into the system 
to remove nitrate, the end product of nitrification. 

The large reservoir helped to buffer any rapid changes 
in water quality in the systems. Rapid water quality changes 
(typically transitional increases in ammonia and nitrite) 
can be associated with the introduction of a large number 
of crabs to a system that has been acclimated to a smaller 
number of crabs, a common practice in commercial opera- 
tions. Water was constantly circulated from the reservoir 
via a 5.1 -cm PVC pipe to a 0.25 kW pump (model Dayton® 
6K695). The pipe was screened to prevent the intake of 
large debris. The water was then distributed through a 
3.2-cm overhead PVC pipe to the crab tanks by a series of 
1.9-cm PVC valves and tees. Water was sprayed under 
pressure into the crab tanks at a constant (total system) 
flow rate of 83.3 2/min. 

Methods 

Artificial seawater (Rila Mix®) was used in the commer- 
cial facility. The two systems were constructed and operated 
one year prior to the study and had been shut down in the 
winter of 1982—83. Start up in March of 1983 consisted 
of turning on the pumps and diluting the systems to volume 
with fresh well water. Fresh water was added to the systems 
to offset evaporation, but no water changes were made 
during the period of observation. Intermolt blue crabs and 
miscellaneous estuarine fish were used to acclimate the 



biological filters until April. During the study, premolt blue 
crabs ranging from 10 to 15 cm in carapace width were 
taken from Lake Pontchartrain, LA, and held in the systems. 
Vinyl-coated, wire-mesh enclosures 0.3 cm in diameter 
isolated crabs that had molted. System management 
included visual inspections every 3 to 4 hours to collect 
soft-shell crabs and to remove mortalities, debris, and 
exuviae. Crabs in the shedding systems were not fed at any 
time. Mean residence time for a typical crab in the system 
was estimated to be 7 days. 

Systems were monitored at 9:00 a.m. each day for 
temperature, salinity, dissolved oxygen, ammonia, nitrite, 
and pH. A 1 £ sample of water was taken from each system 
and analyzed immediately for total ammonia and nitrite. 
Determinations of alkalinity levels and nitrate concentra- 
tions were made on a weekly basis. Techniques and instru- 
mentation to measure the above-mentioned parameters 
are listed in Table 2. Crab densities in each system were 
recorded daily after crab additions were made in the after- 
noon (2:00 p.m.). Data were collected through the spring 
shedding season of 1983, and systems were numbered 
( 1 and 2, respectively) for reporting and identification 
during the interpretation of results. 

RESULTS AND DISCUSSION 

pH, Alkalinity, Salinity, Nitrate 

Water quality observations for pH. alkalinity, and nitrate 
are illustrated in Figure 3. Both systems behaved similarly 
with regard to the monitored parameters. Each system 
initially exhibited a pH of 7.7, and declined to values 
between 7.0 and 7.2. This reduction of pH was associated 
with a decline in alkalinity. The systems displayed initial 
alkalinities of 70 mg/2 CaC0 3 , declining to values as low as 



178 



Manthe, Malone and Perry 



TABLE 2. 
Measurements Taken and Techniques. 



Parameter 


Instrument or Test 


Reference 


Total ammonia 


Orion 95-10 ammonia electrode/ 


APHA (1980) 


asNH 3 -N 


Orion 701 A digital ionalyzer 




Nitrite as 


Bausch and Lomb Spectronic 20, 


Sulfanilamide- 


N0 2 -N 


Spectrophotometer 


based colori- 
metric reaction 
APHA (1980) 


Oxygen as 


Yellow Springs Instrument Co. 




2 


Dissolved oxygen meter. Model 51 




Salinity 


American Optical Refractometer 




PH 


Mini (Model 47) pH meter 




Nitrate as 


Modified hydrazine reduction 


Spotte(1979) 


NO3-N 






Alkalinity as 


Titration 


APHA (1980) 


CaC0 3 







30 mg/C CaC0 3 , suggesting a limited capability of the 
dolomite and shell layers to buffer pH changes. These 
findings are consistent with the observations of Bower 
et al. (1981), who noted the limited ability of calcareous 
filtrants to maintain pH above 8.0. In this study, pH values 
fell within the 7.0 to 8.5 range of optimum nitrification 
rates for biological filters (Wheaton 1977), although filters 
can be acclimated to pH values lower than 7.0 (Haug and 
McCarty 1972). We conclude that the dolomite/shell bed 
was sufficient for control of pH above 7.0 even after two 
years of operation with no filter maintenance, and that this 
pH apparently does not adversely affect the crabs. In fact, 
the lower pH may be beneficial in that it reduces ammonia 
toxicity because of the equilibrium reaction between NH*, 
and NH 3 (Wheaton 1977, Spotte 1979). 

The concentration of nitrates increased throughout the 
study and was directly related to the increased crab loadings 
of both systems. Nitrate levels in systems 1 and 2 were 
171 and 214 mg/£ N0 3 -N, respectively, at the beginning of 
the observation period. Differences in these accumulated 
nitrate concentrations apparently resulted from unequal 
numbers of crabs in each system and the total time that 
the individual systems were operated in the year prior to 
the study (system 2 was operated for a longer period 
in 1982). Observations of the algal filters revealed little or 
no algal growth despite efforts to reintroduce algae from 
local sources and another commercial system. Values 
exceeding 350 mg/C N0 3 -N were observed at the end of 
this study with no apparent deleterious effects. Nitrate is 
generally not toxic to marine organisms even at elevated 
levels (Hirayama 1974. Siddall 1974). Salinity in the 
systems remained constant at 4 and 5 ppt in systems 1 and 
2, respectively. 

Ammonia, Nitrite, Temperature, Dissolved Oxygen 

Ammonia and nitrite increases were closely related to 



increases in crab concentrations (Figure 4). and both 
systems showed comparable results in terms of water 
quality and crab loadings. In system 1, total ammonia 
concentrations remained under 0.4 mg/C NH 3 -N regardless 
of crab density. Nitrite concentrations, however, increased 
to 1.6 mg/£ N0 2 -N during a period of heavy loading. 
During the heaviest crab loading in system 2, ammonia 
levels approached 1.0 mg/C NH 3 -N, with a similar increase 
in nitrite. On May 5, increased mortality of molting crabs 
was observed in system 1 when nitrite concentrations 
approached 1.6 mg/2 N0 2 -N. A pump malfunction occurred 
in system 2 on May 28, and nitrite concentrations subse- 
quently increased. Concentrations above 1.2 mg/2N0 2 -N 
were observed on May 29, but returned to low levels the 
following day. Mevel and Chamroux (1981) found that 
during similar pump malfunctions nitrate levels decreased 
and nitrite levels increased. They concluded that nitrate 
was reduced to nitrite when oxygenation of the environ- 
ment was deficient, and that bacteria were responsible for 
the dissimilatory nitrate reduction. This might explain the 
increase of nitrite observed in our study during the pump 
malfunction. 

Figure 5 illustrates the temperature and dissolved 
oxygen levels recorded in the systems under study. Water 
temperature in the systems equilibrated rapidly to ambient 
air temperatures which varied from 11° to 27°C. Higher 
temperatures decreased the overall carrying capacity of the 
systems. This was supported by the inverse effect of 
temperature on the saturation levels of dissolved oxygen 
(Figure 5). Higher temperatures also increased the metabolic 
rates of both the heterotrophic and nitrifying bacteria 
(Wild et al. 1971) and the crabs (Laird and Haefner 1976). 
Oxygen levels in both systems were influenced by this 
increased biological activity. Oxygen measurements in the 
commercial systems were taken between the biological 
filter and the algal tank. Because of the large surface area 
on the top of the upflow biological filters, some surface 
reaeration may have occurred upstream of the dissolved 
oxygen measurement point; however, in both commercial 
systems the lowest dissolved oxygen values were concurrent 
with peak values of nitrite and crab loadings, thereby 
suggesting intense activity in the biological filter. These 
observations were consistent with those of Manthe et al. 
(in press) which identified dissolved oxygen as the factor 
limiting the efficiency of nitrification beds in experimental 
crab shedding systems of the same design. That study also 
demonstrated that as dissolved oxygen concentration 
decreased, toxic nitrite concentrations increased and 
significant crab mortality occurred. 

In the latter part of this study, the biological filters 
began to overflow in the head chambers. Accumulations of 
detritus were observed in the nylon screens separating the 
different layers of medium in the filter bed. These accumula- 
tions may have led to the short circuiting of the filter bed and 
thus reduced its nitrification ability. Annual breakdown 






Water Quality Fluctuations in a Commercial Shedding Facility 



179 



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9 - 



8 



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5 - 



SYSTEM I 

SYSTEM 2 



I i I I I 1 1 1 1 1 1 L 



3/24 28 4/1 5 9 



■ i i i i — i — i — i — i — i— 

3 17 21 25 29 5/1 5 9 



i i i i — i — i — i — i — i 

13 17 21 25 29 



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E 

rp 60 

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w 40 

>- 

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240 



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r 



i i i i i i i i i i — i — i — i — i — i — i — i i 



3/24 28 4/1 5 9 13 17 21 25 29 5/1 5 9 13 17 21 25 29 

DAYS 

Figure 3. Supporting water quality parameters for the commercial systems (pH, alkalinity, and nitrate). 



180 



Manthe. Malone and Perry 





12:50 




1000 


o 




z 




o 


750 


< 




o 




_J 




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500 


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System I 




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_l I I l_ 



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System I 



13 17 21 25 29 



AMMONIA 
NITRITE 




3/24 28 4/1 5 9 
1250 |~ System 2 

1000 




i i i i 



-2.0 

z 



3/24 28 4/1 5 9 13 17 21 25 29 5/1 5 
System 2 



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O 

o 



13 17 21 25 29 



AMMONIA 
NITRITE 




13 17 21 25 29 



00 
3/24 28 4/1 5 9 13 17 21 25 29 5/1 5 

DAYS 

Figure 4. Ammonia and nitrite concentrations in relation to crab densities (systems 1 and 2). 



Water Quality Fluctuations in a Commercial Shedding Facility 



181 



30 



25 



20 



— 15 



o 

o 

UJ 

cc 

I- 
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cr 

UJ 

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UJ 



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TEMPERATURE 
2 




I I I I I I I I I I I I I I 1 I I I I I I I 1 1 1 1 1 1 1 1 1 1 L. 



-|I2 
10 
8 
6 
4 
2 




3/24 28 4/1 5 9 13 17 21 25 29 5/1 5 9 13 17 21 25 29 O 



30 



25 



20 



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10 I I I I I I I L 



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I ' ' I L 



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8 
6 
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2 



3/24 28 4/1 5 9 13 17 21 25 29 5/1 5 9 13 17 21 25 29 

DAYS 

Figure 5. Temperature and dissolved oxygen values (systems 1 and 2). 



UJ 
O 

z 
o 
o 



and cleaning of the biological filter should be considered 
when using this design. 

Throughout the study, acceptable water quality was 
maintained with this filter design and successful molting 
rates of more than 95% were observed in the facility. 
Loading values of over 1 ,000 crabs were maintained by each 
system over the observed period. Table 3 summarizes 
observed operational ranges for selected water quality 
parameters in the systems studied. 

TABLE 3. 

Observed operational ranges for selected 
water quality parameters. 



Parameter 



Range 



Total ammonia 

Nitrite 

Nitrate 

PH 

Temperature 



- 1 mg 
0- 1 mg 
- 350 mg 
7-8 
11°-27°C 



sr 1 



Decreased molting success was observed when concen- 
trations of nitrite approached 1.6 mg • T 1 N0 2 -N. Total 
ammonia levels did not rise above 1.0 mg • C" 1 NH 3 -N and 
these levels had no apparent harmful impact on the molting 
crabs. In both systems the lowest dissolved oxygen values 
were concurrent with peak values of crab density and nitrite, 
indicating an intense oxygen demand in the biological 
filters to process the increased production of nitrogenous 
waste. Monitoring of nitrite and dissolved oxygen concentra- 
tions appear to be of critical importance to commercial 
softshell production in closed systems. 

ACKNOWLEDGM ENTS 

This research was supported by the Louisiana Sea Grant 
College Program. Collaborative support was provided by the 
Mississippi-Alabama Sea Grant Consortium. These programs 
are elements of the National Sea Grant Program, under the 
direction of NOAA, U.S. Department of Commerce. We 
gratefully acknowledge Drs. Ronald Becker and James I. Jones 



182 



Manthe, Malone and Perry 



for their encouragement and supportive services; and Dr. 
Edwin W. Cake, Jr., for his editorial reviews. The authors 
also express their thanks and gratitude to Mr. Cultus 
Pearson of LaCombe, LA, for sharing his knowledge of crab 
shedding systems and for permitting access to his systems 



for our study. Housing accommodations and research 
facilities during the study were provided by the Louisiana 
Department of Wildlife and Fisheries. References to trade 
names do not imply product endorsement by the authors 
or by the National Sea Grant Program. 



REFERENCES CITED 



American Public Health Association (APHA). 1980. Standard 
Methods for the Examination of Water and Wastewater. 15 ed. 
Washington, D.C. : American Water Works Association and Water 
Pollution Control Federation, American Public Health Associa- 
tion. 1,134 p. 

Bower, C. E., D. T. Turner & S. Spotte. 1981. pH maintenance in 
closed seawater systems: limitations of calcareous filtrants. 
Aquaculture 23:211-217. 

Haefnei, P. O., Jr. & D. Garten. 1974. Methods of handling and 
shedding blue crabs, Callinectes sapidus. Va. Inst. Mar. Sci. 
Mar. Res. Adv. Ser. 8:1-14. 

Hartenstein, R. 1970. Nitrogen metabolism in non-insect arthropods. 
Campbell, J. W., ed., Comparative Biochemistry of Nitrogen 
Metabolism. New York, NY: Academic Press, p. 299-372. 

Haug, R. T. & P. I. McCarty. 1972. Nitrification with submerged 
filters.7. Water Pollut. Control Fed. 44:2086-2102. 

Hirayama, K. 1974. Water control by filtration in closed systems. 
Aquaculture 4:369-385. 

Jaworski, E. 1971. Decline of the softshell blue crab fishery in 
Louisiana. Tex. A&M Univ. Environ. Qual. Note 4:1-33. 

. 1982. History and status of Louisiana's soft-shell blue 

crab fishery. Perry, H. M. and W. A. Van Engel, eds. Proceedings 
of the Blue Crab Colloquium; 1979 October 16-19; Biloxi, MS: 
Gulf States Mar. Fish. Comm. Ann. Meet. 7:153-157. Available 
from GSMFC, Ocean Springs, MS. 

Laird, C. E. & P. A. Haefner, Jr. 1976. Effects of intrinsic and 
environmental factors on oxygen consumption in the blue crab, 
Callinectes sapidus. J. Exp. Mar. Biol. Ecol. 22:171-178. 

Manthe, D. P., R. F. Malone & S. Kumar, (in press) Limiting factors 
associated with nitrification in closed blue crab shedding systems. 
Aquacult. Engineer. 

Mevel. G. & S. Chamroux. 1981. A study on nitrification in the 



presence of prawns {Penaeus japonicus) in marine closed systems. 

Aquaculture 23:29-43. 
Ogle. J. T., H. M. Perry & L. C. Nicholson. 1982. Closed recirculating 

seawater systems for holding intermolt crabs: literature review, 

systems design and construction. Ocean Springs, MS: Gulf Coast 

Research Laboratory Tech. Rep. Ser. 3:1—11. 
Otwell, W. S., J. C. Cato & J. G. Halusky. 1980. Development of a 

soft crab fishery in Florida. Fla. Sea Grant Coll. Rep. 31:1-56. 
Perry, H. M., J.T. Ogle & L. C. Nicholson. 1982. The fishery for soft 

crabs with emphasis on the development of a closed recirculating 

seawater system for shedding crabs. Perry, H.M.andW.A.Van Engel, 

eds. Proceedings of the Blue Crab Colloquium; 1979 October 

16-19; Biloxi, MS: Gulf States Mar. Fish. Comm. Ann. Meet. 7: 

137-152. Available from GSMFC, Ocean Springs, MS. 
Perry, H. M., G. Adkins, R. Condrey, P. Hammerschmidt, S. Heath, 

J. Herring, C. Moss, G. Perkins & P. Steele. 1982. A profile of 

the blue crab fishery of the Gulf of Mexico. Ocean Springs, MS: 

Gulf States Marine Fisheries Commission. Compl. Rep., Contr. 

No. 000-010: 184 p. 
Siddall, S. E. 1974. Studies of closed marine culture systems. 

Prog. Fish-Cult. 36:8-15. 
Spotte, S. 1979. Fish and Invertebrate Culture, Water Management 

in Closed Systems. New York, NY: John Wiley & Sons, Inc. 

179 p. 
Van Gorder, S. D. & J. D. Fritch. 1980. Filtration techniques for 

small-scale aquaculture in a closed system. Proc. Annu. Conf. 

Southeast. Assoc. Fish Wildl. Agencies 34:59-66. 
Wheaton, F. W. 1977. Aquacultural Engineering. New York, NY: 

John Wiley & Sons, Inc. 708 p. 
Wild, H. E., Jr., C. N. Sawyer & T. C. McMahon. 1971. Factors 

affecting nitrification. J. Water Pollut. Control Fed. 

43:1845-1854. 



Journal of Shellfish Research, Vol. 3, No. 2, 183-193, 1983. 

BLUE CRAB (CALLINECTES SAPIDUS RATHBUN) POPULATIONS IN MID-CHESAPEAKE BAY 
IN THE VICINITY OF THE CALVERT CLIFFS NUCLEAR POWER PLANT, 1968-1981 



GEORGE R. ABBE 

Academy of Natural Sciences 

Benedict Estuarine Research Laboratory 

Benedict, Maryland 20612 



ABSTRACT Population data of the blue crab Callinectes sapidus Rathbun were collected from 1968 to 1981 to deter- 
mine the affects of waste heat from the Calvert Cliffs Nuclear Power Plant on abundance, size distribution, sex ratio, and 
seasonality of occurrence. Crabs were sampled using commercial crab pots of 25-mm-mesh set within (Plant Site) and out- 
side (Kenwood Beach and Rocky Point) the main area of thermal influence. Five pots per station were fished four days 
per week during alternate weeks from May to November or December. Crabs were sexed, measured, and weighed by sex. 
In 14 years, a total of 10,600 pot samples yielded 57,078 crabs (5.38 per pot) of which 74.1% were legal size (^ 127 mm 
carapace width) and 5 1.5% were males. During seven pre-operational years (1968-74), the number of crabs per pot averaged 
4.15 at Kenwood Beach (32.6%), 4.12 at Plant Site (32.4%), and 4.46 at Rocky Point (35.0%). During seven operational 
years (1975-81), the number of crabs per pot averaged 6.24 at Kenwood Beach (33.3%), 6.37 at Plant Site (34.0%), and 
6.15 at Rocky Point (32.8%). Increased catch during the operational period was due to extreme abundance in 1981 when 
the mean catch was nearly 17 crabs per pot. Ten population variables were tested for differences between pre-operational 
and operational periods and among stations and years. Data analyses revealed many differences among years due to natural 
fluctuations in the size and structure of Chesapeake Bay blue crab populations. Two station differences were detected; 
males at Kenwood Beach were slightly larger than at the other stations (p <0.01), and percent males at Kenwood Beach 
was higher than at Rocky Point (p < 0.01). The overall similarity of stations and periods indicates no evidence of any 
detrimental effect on the crab populations caused by operation of the Calvert Cliffs Nuclear Power Plant. 

KEY WORDS: blue crab, Callinectes sapidus, Calvert Cliffs, Chesapeake Bay, nuclear power plant, thermal effluent 



INTRODUCTION 

For nearly a century the blue crab Callinectes sapidus 
Rathbun has been the basis of one of the major commercial 
fisheries in the Chesapeake Bay area. From the late 1940's 
to the late 1950's the annual catch averaged nearly 27.2 X 
10 6 kg(60X 10 6 lb) valued at S3 million (Van Engel 1958). 
From 1968 to 1975 annual landings increased to almost 
29.9 X 10 6 kg (66 X 10 6 lb) valued at $7.7 million (U.S. 
Fish and Wildlife Service 1970a, b; National Marine Fish- 
eries Service 1972- 1976a, b). From 1976 to 1980 mean 
landings fell to 26.3 X 10 6 kg (58 X 10 6 lb), but dockside 
value increased to $13 million (National Marine Fisheries 
Service 1977-1979a, b, 1980, 1981, 1982). Record landings 
occurred in 1981 with 46.3 X 10 6 kg (102 X 10 6 lb) valued 
at $27 million (National Marine Fisheries Service 1982). 

The size and economic importance of this fishery are 
obvious cause for concern regarding industrial construction 
which could affect it. Mihursky and Kennedy (1967) dis- 
cussed problems associated with heated discharges from 
power plants including the fact that many plants discharge 
water heated to 38-46°C. Tagatz (1969) also indicated 
that power plant discharges of heated waste water might 
be a threat to blue crabs. 

In 1968 Baltimore Gas and Electric Company began 
construction of the Calvert Cliffs Nuclear Power Plant 
(CCNPP), a two-unit generating station located on Chesa- 
peake Bay in Calvert County, Maryland, about 15 km 
north of the mouth of Patuxent River. Bay water is used in 
a once-through cooling system at a rate of 9.08 X 10 6 £/min, 
heated 6.7°C (maximum) above ambient and discharged at 
2.7 m/sec through a high-velocity jet 260 m from shore 
(Baltimore Gas and Electric Company 1970). Mixing of the 



discharge and receiving water is rapid and the area enclosed 
by the +2°C isotherm is only 0.34 km 2 assuming 10% 
recirculation (Academy of Natural Sciences of Philadelphia 
ct al. 1980); however, thermal increases of 0.5 to 1.0°C 
above ambient have been detected more than 3 km away. 

In addition to being one of the most abundant commer- 
cial species in the Chesapeake Bay, the blue crab is also one 
of the most tolerant of a wide range of salinities and 
temperatures. Tagatz (1969) has shown that at salinities of 
7 ppt, somewhat lower than the 10 to 15 ppt at Calvert 
Cliffs, 50% of the crabs acclimated to 22°C will survive 
48 hours at a temperature of 36.9°C. Burton (1978) 
exposed juvenile blue crabs acclimated at 15 and 25°C to a 
rapid 10°C increase, held them at the elevated temperature 
for four minutes, and returned them to the acclimation 
temperature over a 15-minute decay period. Weight-specific 
oxygen consumption indicated that responses were due to 
normal physiological temperature compensation and not to 
thermal stress. He concluded that increases of up to 10 C 
would have minimal adverse seasonal effect on blue crabs 
when exposure time was held to 20 minutes. Because 
maximum temperatures near the CCNPP discharge are 
several degrees below 37°C and because blue crabs are 
strong swimmers capable of relatively rapid movement, 
mortalities resulting from the thermal discharge were not 
expected. Sublethal temperatures, however, could affect 
the distribution or structure of the total population, so 
that numbers of crabs, their mean sizes or sex ratios would 
be abnormally altered. Because large fluctuations in annual 
abundance of blue crabs have been well documented 



183 



184 



ABBE 



(Pearson 1948, Van Engel 1958, Tagatz 1965), this study 
was designed to examine abundance, seasonality of occur- 
rence, sex ratio, and size-frequency distribution of the crab 
populations in the vicinity of the CCNPP over several 
years, and to ascertain whether any significant changes in 
these parameters have resulted from plant operation. The 
plant became operational in early 1975 and Unit 1 began 
commercial production in May 1975; Unit 2 began opera- 
tion in 1977. Thus seven years of pre-operational data and 
seven years of operational data were collected from 1968 to 
1981. This paper reports the effects of power plant opera- 
tion on the local crab populations and provides descriptive 
statistics of these populations over a 14-year period. 



MATERIALS AND METHODS 



Stations 



The center of the study area was adjacent to the Calvert 
Cliffs plant site located approximately 7.6 km northwest of 
Cove Point on the western shore of Chesapeake Bay (Figure 1). 
Although this station was within 100 m of the discharge, it 
did not receive the full impact of the thermal plume. 
Temperatures averaged 1° to 2°C above ambient during 
operational years; water depth was approximately 2.5 m. 
The upper station was located near Kenwood Beach, 6.4 km 
from the discharge at 3.7 to 4.6 m water depth; the lower 
station was southeast of Rocky Point 3.8 km from the 
discharge at 3.5 m water depth. The Kenwood Beach and 
Rocky Point stations were outside of the predicted area of 
thermal affect when they were established in 1968. Plant 
operation, however, did result in occasional temperature 
increases of up to 1°C at Rocky Point; Kenwood Beach 
remained unaffected. Salinity at the Rocky Point station 
averaged 1 to 2 ppt higher than at Kenwood Beach. 




Figure 1. Locations of crab pots in mid-Chesapeake Bay from 1968 
to 1981. 



Study Design 

Commercial potting techniques (Van Engel 1962) and 
crab pots of 25-mm-mesh were used to sample the crab 
populations at the three stations from spring (generally 
early May) until late fall when water temperatures declined 
to levels at which crabs became inactive (10-12°C in 
November or December). Commercial crab pots are generally 
constructed of 38-mm-mesh and will hold few crabs less 
than 76 mm (3 in.) in carapace width; however, the smaller 
mesh pots used in this study allowed some crabs less than 
51 mm (2 in.) to be caught. 

During alternate weeks throughout the season, five pots 
(three in 1968) at each station were baited daily with 
menhaden and fished for four successive days. Station 
catches were weighed by sex and all crabs were measured 
to the nearest one-eighth-inch (3 mm). Field measurements 
were later converted to metric. 

Bottom temperature and salinity were determined 
monthly by thermistor probe and titration, respectively, 
from 1968 to 1978 and daily during the weeks fished from 
1979 to 1981 with a Beckman RS5-3 portable salinometer. 
Dissolved-oxygen concentrations were determined monthly 
through 1974 and daily thereafter either by Winkler titra- 
tion or with a YSI Model 57 dissolved-oxygen meter. 

Statistical Analysis 

A cross-nested analysis of variance (Hicks 1973) was 
used to compare various parameters of the crab populations 
and thus test for differences between the pre-operational 
and operational periods. Population parameters included 
the number caught per pot for legal size crabs and for total 
crabs, mean widths and weights of males, females, and 
combined sexes, the percent legal size crabs, and percent 
males. The crossed effects in this analysis were station and 
year and the nested effect was year within period. The 
period effect was tested against the year (period) error term 
while other effects were tested against the highest order 
interaction term for this model. All parameters except 
percent legal size and percent male were yearly averages; 
because averages of large samples tend to be normally 
distributed, no transformation was required. The percent 
legal size and percent males at each station for each year 
were transformed by arcsine-squareroot transformation to 
stabilize variances and improve normality (Thoni 1967). 

Percent males were also examined over the entire 14-year 
period by analysis of covariance (Hicks 1973) using logit- 
transformed data (Cox 1970). 

RESULTS AND DISCUSSION 

Summaries of the annual blue crab catches made in the 
Calvert Cliffs area during 1968—1974 (pre-operational) and 
during 1975—81 (operational) are presented in Tables 1 and 
2, respectively. In 14 years of study. 10,600 pot samples 
produced 57,078 crabs (5.38 per pot) of which 51 .5% were 
males and 74.1% were legal size (^ 127 mm carapace width). 



Blue Crab Populations in Mid-Chesapeake Bay 



185 



TABLE 1. 

Summary of abundance, size, and sex composition of blue crab catches near the Calvert Cliffs 
Nuclear Power Plant from 1968 to 1974 (preoperational period). 





1968 


1969 


1970 


1971 


1972 


1973 


1974 


Grand Mean 


Total number 


239 


2,833 


1,493 


4,792 


3,041 


3,059 


3,970 


2,775 


Number of males 


158 


1,995 


914 


2,65 7 


1,794 


1,753 


2,366 


1,662 


Number of females 


81 


838 


5 79 


2,135 


1,247 


1,306 


1,604 


1,113 


Percent males 


66.1 


70.4 


61.2 


55.4 


59.0 


57.3 


59.6 


61.3* 


Total weight (kg) 


48 


367 


228 


709 


448 


479 


630 


416 


Mean weight per crab (g) 


201 


130 


153 


148 


147 


157 


159 


155* 


Male weight (kg) 


33 


262 


145 


417 


277 


295 


400 


261 


Mean weight per male (g) 


209 


131 


159 


157 


154 


168 


169 


164* 


Female weight (kg) 


15 


106 


83 


293 


171 


185 


230 


155 


Mean weight per female (g) 


185 


126 


143 


137 


137 


142 


143 


145* 


Number of legal size crabs ( > 127 mm) 


206 


2,006 


1,128 


3,629 


2,195 


2,388 


2,942 


2,071 


Number of sublegal size crabs 


33 


827 


365 


1,163 


846 


671 


1,028 


705 


Percent legal 


86.2 


70.8 


76.5 


75.7 


72.2 


78.1 


74.1 


76.2* 


Mean crab width (mm) 


153 


134 


140 


138 


137 


143 


141 


141* 


Mean width of males (mm) 


151 


134 


139 


135 


134 


141 


139 


139* 


Mean width of females (mm) 


157 


134 


142 


141 


141 


146 


144 


144* 


Total pots fished 


281 


472 


564 


760 


795 


898 


809 


654 


Number of crabs per pot 


0.85 


6.00 


2.65 


6.31 


3.83 


3.41 


4.91 


3.99* 


Number of legal size crabs per pot 


0.73 


4.25 


2.00 


4.78 


2.76 


2.66 


3.64 


2.97* 


*Grand means of means and percents are unweighted. 

















TABLE 2. 

Summary of abundance, size, and sex composition of blue crab catches near the Calvert Cliffs 
Nuclear Power Plant from 1975 to 1981 (operational period). 



1975 



1976 



1977 



1978 



1979 



1980 



1981 



Grand Mean 



Total number 

Number of males 

Number of females 

Percent males 

Total weight (kg) 

Mean weight per crab (g) 

Male weight (kg) 

Mean weight per male (g) 

Female weight (kg) 

Mean weight per female (g) 

Number of legal size crabs (_> 127 mm) 

Number of sublegal size crabs 

Percent legal 

Mean crab width (mm) 

Mean width of males (mm) 

Mean width of females (mm) 

Total pots fished 

Number of crabs per pot 

Number of legal size crabs per pot 



4,902 


2.845 


2,089 


3,476 


5,740 


3,493 


15,106 


5,379 


2,381 


1,245 


1,080 


1,707 


3,034 


1,464 


6,853 


2.538 


2,521 


1,600 


1,009 


1,769 


2,706 


2,029 


8,253 


2,841 


48.6 


43.8 


51.7 


49.1 


52.8 


41.9 


45.4 


47.6* 


748 


392 


383 


552 


864 


638 


1,972 


793 


153 


138 


183 


159 


151 


183 


131 


157* 


384 


172 


217 


285 


478 


281 


863 


383 


161 


138 


201 


167 


158 


192 


126 


163* 


364 


220 


165 


267 


386 


357 


1,110 


410 


144 


138 


164 


151 


143 


176 


134 


150* 


4,006 


1,922 


1,737 


2,598 


4.449 


2,877 


10,211 


3,971 


896 


923 


352 


878 


1,291 


616 


4,895 


1,407 


81.7 


67.6 


83.1 


74.7 


77.5 


82.4 


67.6 


76.4* 


144 


137 


149 


143 


142 


149 


135 


143* 


140 


131 


148 


138 


138 


143 


126 


138* 


148 


143 


151 


148 


146 


153 


142 


147* 


902 


841 


756 


886 


879 


861 


896 


860 


5.43 


3.38 


2.76 


3.92 


6.53 


4.06 


16.86 


6.13* 


4.44 


2.29 


2.30 


2.93 


5.06 


3.34 


11.40 


4.54* 


unweighted. 

















*Grand means of means and percents are 



186 



ABBE 



Considerable variation in annual population size, individual 
mean size, and sex ratio is evident in data from Tables 1 
and 2 with significant differences among years for all 
variables examined by analysis of variance (ANOVA) (all 
p < 0.01 ). There were, however, many similarities between 
the two periods. For example, the annual mean number of 
crabs caught per pot during the pre-operational period 
ranged from 0.85 to 6.31 (a 7.4:1 ratio) and during the 
operational period ranged from 2.76 to 16.86 (a 6.1 : 1 ratio). 
Mean crab weights were similar during the two periods 
(155 and 157 g, respectively), as were the percentages of 
legal-size crabs caught (76.2% and 76.4%, respectively). 
Mean carapace widths were also nearly the same at 141 mm 
and 143 mm, respectively. Thus it appears that year-to-year 
fluctuations were due to natural changes in population 
structure and not to operation of the CCNPP. 

Statistical differences among stations were detected for 
only two of the ten variables tested. Male crabs were 
significantly larger (p < 0.01 ) at Kenwood Beach ( 138.6 mm 
carapace width) than at the Plant Site (135.6 mm) or 
at Rocky Point (136.3 mm). Although these sizes differ 
statistically, there is little biological significance to the 
differences. 

Percent males were also greater at Kenwood Beach (55%) 
than at Rocky Point (48%) (p < 0.01); the 51% males at 
Plant Site differed from neither. This difference probably 
resulted from the higher salinities at Rocky Point than at 
Kenwood Beach because the ratio of males to females 
normally decreases as salinity increases (Lippson 1973). 

Commercial landings in Maryland during 1968—1981 
ranged from about 4.5 to nearly 27.2 X 10 6 kg (10 to 60 X 
10 6 lb), while the numbers of crabs caught per pot in the 
study area ranged from less than 1 to nearly 17 (Figure 2). 
Linear regression analysis revealed a high correlation (r 2 = 
0.88) between these two data sets indicating that crab abun- 
dances near Calvert Cliffs were representative of commercial 
catches in the Maryland portion of Chesapeake Bay. The 
number of legal-size crabs caught per pot ranged from 0.73 
to 1 1 .40 (Tables 1 and 2) and also correlated well with 
Maryland landings (r 2 = 0.87). 

Percents of annual legal-size crabs caught were much 
more stable than abundances, ranging from 68% in 1976 
and 1981 to 86% in 1968 (Tables 1 and 2). During a given 
year, however, the percent of legal -size crabs caught varied 
considerably. Figure 3 shows the percentage of legal-size 
crabs caught by station for the weeks fished during 1981 
and illustrates this seasonal variation. In May 1981 the 
population consisted of crabs hatched in 1979 and 1980. 
About 60% were 1979 crabs which were already of legal 
size; the remainder were sublegal size from the 1980 spring 
hatch. As the 1979 crabs were removed from the popula- 
tion and more small 1980 crabs were recruited to the area, 
the percent of legal-size crabs decreased to below 20% in 
June. As the 1980 crabs grew during the season, the percent 
of legal-size crabs gradually increased until a peak above 



90% was reached in the fall. During November the percent 
of legal-size crabs decreased again, possibly from the off- 
shore movement of large crabs and from the recruitment of 
small crabs hatched in early 1981 which were becoming 
large enough (65 mm; Van Engel 1958) to be caught in 
pots. The high correlation between the annual percent of 
legal size and mean crab weight (r 2 = 0.78) is shown in 
Figure 4. The lowest annual mean weights were 130 g and 
131 gin 1969 and 1981, respectively, both following years 
of high reproductive success. The large proportion of light- 
weight, sublegal-size crabs resulted in low mean weights and 
low legal-size percentages (70.8 and 67.6%). In contrast, 
1968 followed a year of poor recruitment and juveniles 
were scare; the mean weight was 201 g and the percent of 
legal size was above 86%. 



100 



90 



80 - 



70 



60 



° 50 



2 
18 
16 
14 
12 
10 
8 
6 
4 
2 



30 



20 



- 


/ 


- 


/'"~-~. MARYLAND and / 


/ 


/ \ VIRGINIA LANDINGS / 
\ A •-_ / 


/ 
' / 


V \ . / , 




MARYLAND LANDINGS / ' 


- f 


'VA V 7 : 


- /a 


,\ CALVERT CLIFFS ,/\ / 




/ ' '' \-- .-'"' 


1 1 


1 1 1 1 1 1 1 1 1 1 1 



68 69 70 71 72 73 74 75 76 77 78 79 80 81 

Figure 2. Commercial blue crab landings and catch per pot 
Calvert Cliffs study area from 1968 to 1981. 



in the 



During the 14-year study period, females averaging 
145 mm in carapace width were 7 mm larger than males 
(138 mm). The mean weight of the males (164 g), however, 
was 1 7 g more than females (147 g). This is consistent with 
other studies of Chesapeake Bay (Newcombe et al. 1949), 
Florida (Tagatz 1965), and Texas (Pullen and Trent 1970). 
which showed that males of a given width are heavier than 
females of the same width. Annual mean widths ranged 
from 134 to 153 mm (Tables 1 and 2). much smaller than 
the 155-, 158- and 166-mm means for crabs caught by pots 
in three areas of the St. Johns River. Florida (Tagatz 1965). 



Blue Crab Populations in Mid-Chesapeake Bay 



187 





• KENWOOD BEACH 

• PLANT SITE 

• ROCKY POINT 



MAY JUN JUL AUG SEP OCT NOV DEC 

Figure 3. Percent of catch consisting of legal-size crabs (^127 mm carapace width) at three stations during 1981. 



90 



85 - 



LU 
N 

CD 

i 80 

_l 
< 

Id 



75 - 



UJ 70 
o 

cr 

LU 

°- 65 



60 



- 




• 




• 












- 










• 






y=37.34+0.25x 




■ 


• 
1 


i i 


r 2 = 0.78 

■ i i 


i 



130 140 150 160 170 180 190 200 210 
MEAN CRAB WEIGHT (g) 



Figure 4. Linear regression of annual percent of legal-size crabs caught and mean crab weight. 



188 



ABBE 



Crabs in southern states apparently grow to larger sizes than 
those in Chesapeake Bay. The largest crab used by 
Newcombe et al. (1949) in their formulation of width-weight 
curves for Chesapeake Bay crabs was 201 mm and the largest 
crab from the present study was 213 mm. Of the 57,078 
crabs caught near Calvert Cliffs, only 6 exceeded 203 mm 
(8 in.). In contrast, Tagatz (1965) reported a 246-mm crab 
from Florida and 240-mm crabs are known from Texas. 

Table 3 lists numbers of males and females, their weights, 
and the mean number caught per pot at each station. 
Although station differences were apparent within years, 
trends were similar as were overall means. Except for 1968 
and 1981, the poorest and best years of the study, respec- 
tively, the catch ranged from about two to seven crabs per 
pot. For the 14-year study period, Kenwood Beach pots 
produced a mean of 5.32 crabs per pot (32.9% of the total), 
while Plant Site pots produced 5.40 crabs per pot (33.4%), 
and Rocky Point produced 5.43 crabs per pot (33.6%). 
These percentages are nearly identical and no statistically 
significant difference exists among them (p = 0.99). 

The percent of the total annual catch made at each 
station ranged from 26 to 38% at Kenwood Beach, from 
23 to 39% at the Plant Site, and from 30 to 45% at Rocky 
Point (Figure 5). The mean number of crabs caught per pot 
by station has shown no meaningful change between pre- 
operational and operational periods. The overall weighted 
pre-operational mean for all stations combined was 4.24 
crabs per pot, whereas the weighted operational mean was 
6.25 crabs per pot (4.35 if 1981 data are excluded). If 1968 
data are also excluded, the pre-operational average becomes 
4.52 crabs per pot. Thus, the elimination of the most- and 
least-productive years yields similar long-term mean catches. 
During the pre-operational period Kenwood Beach averaged 
4.15 crabs per pot (32.6%), the Plant Site averaged 4.12 



crabs per pot (32.4%), and Rocky Point averaged 4.46 
crabs per pot (35.0%). Since 1975, these same stations 
produced 6.24 (33.3%), 6.37 (34.0%), and 6.15 (32.8%) 
crabs per pot. respectively; the percentages were essentially 
unchanged from the pre-operational period. 

Figure 6a illustrates the 14-year mean seasonality of the 
crab populations by station and the similarity between these 
three stations. Catches were generally small in May, as a 
result of cool water temperatures (14 to 18°C) which pre- 
vented full activity of the crabs. With rising water tempera- 
tures, catches increased steadily until August when they 
approached seven crabs per pot. A decline at all stations 
was observed for September followed by a second peak in 
October. The September decline resulted from a sharp 
decrease in the number of males only (Figure 6b), while 
females continued to increase in numbers until the October 
peak was reached. Decreasing water temperatures during 
November and December reduced crab activity and brought 
about a rapid decline in catch size. 

The October peak reflected migrating females as they 
moved through the area on their way to higher salinity 
water of the lower bay for eventual spawning. Females 
normally spawn at salinities of 22 to 28 ppt (Sandoz and 
Rogers 1944, Newcombe 1945) which larvae need to survive. 
Costlow and Bookhout ( 1959) observed normal hatching at 
salinities as low as 20.1 ppt with all larvae hatching as 
first-stage zoeae and no prezoeae were observed. At lower 
salinities, however, larvae that hatch do so as prezoeae and 
do not survive (Sandoz and Rogers 1944). Although 
spawning is uncommon in the Calvert Cliffs area and 
although Truitt (1939) stated that sponge crabs (female 
with egg pad) are seldom seen north of the Rappahannock 
River in Virginia (about 80 km down-bay from the CCNPP) 



LU 
O 

cc 

LU 
Q. 



ou 


















^^^^^m iTMinnn nrrtni 










45 


- 




.. i DAri/V DniklT 


40 


- 










35 


. 


■ 








\ 






5 


I 


















■ 














-. 










30 






- 






v 


i 


| 






i 


• 








25 


- 




; ; 




j 


1 


i 


: 


';[ 




jj 


I 


] 


| 





68 69 70 71 72 73 74 75 76 77 78 79 80 81 

Figure 5. Percent of annual catch made at each station from 1968 to 1981 based on catch per pot. 



Blue Crab Populations in Mid-Chesapeake Bay 



189 



TABLE 3. 

Numbers and weights (kg) of caught blue crabs, number of pots fished, and number of crabs caught per pot 
at three stations in mid-Chesapeake Bay from 1968 to 1981. 



Males 



Females 



Year 



Number 



Weight 



Number 



Weight 



Number of Pots Fished 



Number of Crabs per Pot 



1968 
1969 
1970 
1971 
1972 
1973 
1974 
1975 
1976 
1977 
1978 
1979 
1980 
1981 
Totals 



57 
677 
381 
905 
537 
573 
996 
834 
406 
388 
491 
95 7 
527 
2,618 
10,347 



II 

88 

62 

143 

84 

113 

184 

130 

56 

84 

82 

156 

106 

339 

1,639 



24 

296 

205 

673 

289 

200 

562 

769 

476 

312 

461 

1.054 

487 

2,562 

8,370 



KENWOOD BEACH 



99 
156 
192 
246 
265 
303 
276 
303 
275 
249 
284 
291 
283 
293 



1.174 



3,515 



0.82 
6.24 
3.05 
6.41 
3.12 
2.55 
5.64 
5.29 
3.21 
2.81 
3.35 
6.91 
3.58 
17.68 
5.32 



1968 
1969 
1970 
1971 
1972 
1973 
1974 
1975 
1976 
1977 
1978 
1979 
1980 
1981 
Totals 



39 

720 

212 

777 

602 

644 

743 

827 

409 

348 

630 

1,002 

475 

2,495 

9.923 



8 

96 

31 

117 

94 

104 

121 

138 

57 

69 

102 

150 

90 

311 

1,489 



18 
270 
183 
630 
474 
580 
468 
708 
482 
360 
757 
776 
830 
2.813 
9,349 



PLANT SITE 

3 

34 

27 

84 

60 

79 

63 
103 

63 

60 
111 
108 
145 
373 



96 
156 
180 
257 
265 
325 
264 
300 
283 
254 
305 
295 
289 
300 



1.314 



3,569 



0.59 
6.35 
2.19 
5.47 
4.06 
3.77 
4.59 
5.12 
3.15 
2.79 
4.55 
6.03 
4.52 
17.69 
5.40 



1968 
1969 
1970 
1971 
1972 
1973 
1974 
1975 
1976 
1977 
1978 
1979 
1980 
1981 
Totals 



62 

598 

321 

975 

655 

536 

627 

720 

430 

344 

586 

1,075 

462 

1.740 

9,131 



14 
78 
52 

157 
99 
77 
95 

116 
59 
64 

100 

172 
85 

212 
1,381 



39 

272 

191 

832 

484 

526 

574 

1,044 

642 

337 

551 

876 

712 

2,878 

9,958 



ROCKY POINT 

7 

35 

30 
122 

74 

78 

81 
149 

92 

54 

83 
129 
131 
396 



1,461 



86 
160 
192 
257 
265 
270 
269 
299 
283 
253 
297 
293 
289 
303 
3,516 



1.17 
5.44 
2.67 
7.03 
4.30 
3.93 
4.46 
5.90 
3.79 
2.69 
3.83 
6.66 
4.06 
15.24 

5.43 



1968 
1969 
1970 
1971 
1972 
1973 
1974 
1975 
1976 
1977 
1978 
1979 
1980 
1981 
Totals 



158 
1,995 

914 
2.657 
1,794 
1,753 
2,366 
2,381 
1.245 
1,080 
1,707 
3,034 
1,464 
6,853 
29,401 



4,509 



ALL STATIONS COMBINED 

81 15 281 

838 106 472 

579 83 564 

2,135 293 760 

1,247 171 795 

1.306 185 898 

1,604 230 809 

2,521 364 902 

1,600 220 841 

1.009 165 756 

1.769 267 886 

2,706 386 879 

2,029 357 861 

8,253 1.110 896 

27,677 3,949 10,600 



0.85 
6.00 
2.65 
6.31 
3.83 
3.41 
4.91 
5.43 
3.38 
2.76 
3.92 
6.53 
4.06 
16.86 
5.38 



190 



Abbe 



8 



o 

Q_ 


5 


cr 




L±J 
CL 


4 


co 




DQ 
< 


3 


cr 




o 






2 



/ 
/ 



■I 




— KENWOOD BEACH 
— • PLANT SITE 
ROCKY POINT 



MAY JUN JUL AUG SEP OCT NOV DEC 

Figure 6a. Monthly catch per pot by station showing the similiary between stations. 



r- 


5 


o 




0_ 




or 




UJ 


4 


Q_ 




O) 




CD 

< 


3 


cr 




u 





I - 




MAY JUN JUL AUG SEP OCT NOV DEC 

Figure 6b. Monthly catch per pot by sex showing the difference in peak abundance for males 
and females. 



Blue Crab Populations in Mid-Chesapeake Bay 



191 



except during dry years, some are occasionally seen. From 
1968 to 1979. 59 sponge crabs were caught (0.34% of all 
females). During the dry years of 1980 and 1981, however, 
64 were collected (0.62% of all females). Salinity (20 to 
21 ppt) and temperature (24 to 25°C) combinations in 
late August and early September 1981 were high enough in 
the study area for successful hatching although no evidence 
of this was observed. Hatching this far north in the bay 
would have been extremely unusual because even a blue 
crab megalops in this area of the Chesapeake is rare (Cargo 
1960). 

Annual percentages of males are plotted by station in 
Figure 7a. When stations are averaged within years, the 
annual percentages show a decline from 66% in 1968 to 
45% in 1981. The highest percent males occurred in 1969 
(70%) and the lowest occurred in 1980 (42%). Analysis of 
covariance revealed a significant decrease in percent males 
since 1968 (p < 0.001). The analysis detected no difference 
in the rate of decrease between stations (p >0.99); thus it 
has occurred equally at all stations (Figure 7b). This decrease 
in percent males might be easily explained had a long-term 
increase in salinity been evident during this time, but 
Figure 8 shows no increase in salinity; the regression line 
is not significantly different from a no-slope line (p = 0.56). 
Thus, the reasons for the decrease in male/female ratios are 
not understood, nor are the implications of this decline to 
a fishery in which females are worth considerably less than 
males. Because choice male crabs are destined for crab 
houses and restaurants to be eaten steamed, while females 
and small or light males go primarily to processing plants to 
be picked, the choice males may be worth two to three 
times more than females during much of the season. If this 
decline in percent males is more widespread than the 
Calvert Cliffs area, such a decline could result in economic 
losses to crabbers and others dependent on the fishery. 





IOO 




90 


</) 


80 


III 




_l 


r*0 


< 




:> 


60 


r- 

z 


50 


Ld 

o 


40 


rr 




Ld 


M) 


Q_ 






20 




10 




KB^fl + e" 1577 " 0072 *' 1 ""]" 1 

pC = r| + e -(565-0O736( f f)ll" 1 
RP s [| + g" (5 «7 -0.07241 jflll" 1 



68 69 70 71 72 73 74 75 76 77 78 79 80 81 

Figure 7b. Curves resulting from analysis of covariance model 
fitted to logit-transformed proportions of males at three stations 
showing the decline in percent males and the similarity in rates 
of decline. 



d.0 
20 










J 15 


- 




























SALINITY 
5 




1 






















5 


i i i 


y = 4.60 + 0.llx 

r ! =0.03 

i i i i > i i i i 



69 70 71 72 73 74 75 76 77 78 79 80 81 



100 



80 



60 



40 



o 
cr 
w 20 

Q_ 







-K /'\ 




■ ' "'^-,/\ 




KENWOOD BEACH 




PLANT SITE 




• ROCKY POINT 
. i i i i i i — i — 


1 1 1 1 1 1 



68 69 70 71 72 73 74 75 76 77 78 79 80 81 



Figure 7a. Annual percent of catch consisting of males at the three 
stations from 1968 to 1981. 



Figure 8. Annual mean salinity in the Calvert Cliffs area from 1968 
to 1981 showing the absence of any long-term trend. Vertical bars 
represent annual salinity ranges. 

Poor catches and/or dead crabs in pots were occasionally 
observed during July and August as a result of low-dissolved 
oxygen concentrations. Although uncommon at all stations, 
these episodes occurred more often at Kenwood Beach 
than elsewhere because of bathymetric differences. The 
bottom at Kenwood Beach sloped from a 3- to 10-m depth 
more gradually than at the Plant Site or Rocky Point 
allowing anoxic water to upwell after westerly winds moved 
surface waters offshore. These incidents usually lasted from 
1 to 3 days when oxygen concentrations ranged from just 
under 3.0 to 0.1 mg/2. Fish trapped in pots generally were 
dead and crabs were dead or nearly so. Although catches at 
Kenwood Beach were much reduced during these times, the 
overall reduction for the season compared to other stations 



192 



ABBE 



was minimal. May (1973) described similar occurrences in 
Mobile Bay, Alabama, and discussed the responsible condi- 
tions. He stated that one of the best indexes of the extent 
of oxygen depletion was the mortality of fish and crabs 
caught in pots. 

Abundance, size, and sex ratio data indicated no special 
attraction of crabs to the Plant Site station. Crabs were 
attracted by warm water at the P. H. Robinson Generating 
Station in Galveston Bay, Texas, during the cooler seasons 
and by the entrainment of small fish (Callaway and Strawn 
1975). 

An estimated 4.76 X 10 6 crabs were impinged on the 
rotating screens at Calvert Cliffs from 1975 to 1981. The 
estimate of 3.8 X 10 s in 1980 (Hirshfield et al. 1981) was 
similar to the 1975-78 mean of 4.0 X 10 s ; however, it was 
well below the 1.12 X 10 6 and 1.66 X 10 6 for 1979 and 
1981, respectively (Hirshfield et al. 1980, Hirshfield and 
Hixson 1982). Annual impingement estimates were corre- 
lated with the annual mean number of crabs caught per pot 
from all stations combined (r = 0.83). Although the 
number of impinged crabs was large (6.8 X 10 5 annual 
mean for 1975-81), it was much lower than the estimate 
of 1.95 X 10 6 crabs per year for 1976-77 at the Chalk 
Point Steam Electric Station on the Patuxent River, 
Maryland (Academy of Natural Sciences of Philadelphia 



1983). The impingement of crabs and their subsequent 
wash-off from the screens at the CCNPP had virtually no 
affect on survival which exceeded 99% (Burton 1976). 

Differences among years were detected for all population 
variables examined and variation among stations over time 
was moderate, but other than slightly larger males at 
Kenwood Beach than at the other stations and a higher 
percentage of males at Kenwood Beach than at Rocky 
Point, no statistically significant station differences were 
detected during pre-operational or operational periods. 
Perhaps one of the most significant findings of this study, 
however, was the long-term decrease in the percent of males 
that occurred equally among stations. All year-to-year 
changes in population structure, whether significant or not, 
appeared to be natural fluctuations and unrelated to 
operation of the CCNPP. 

AC KNOWLEDGMENTS 

1 thank all the individuals who assisted in the collection 
of data during the 14 years of this project, but especially 
Robert Cantin, Matt Newman, and William Yates, Jr. 1 am 
also indebted to Elgin Perry for his computer analysis of 
the data. This study was supported by the Baltimore Gas 
and Electric Company. 



REFERENCES CITED 



Academy of Natural Sciences of Philadelphia , Marine Sciences 
Research Center & J. E. Edinger Associates, Inc. 1980. Calvert 
Cliffs Nuclear Power Plant thermal plume dye studies, April 
and August 1979, and analysis of plume sites. Report No. 80- 
10: 122 p. Available from: Academy of Natural Sciences, 
Philadelphia, PA. 

Academy of Natural Sciences of Philadelphia. 1983. Impingement. 
Chalk Point 316 Demonstration of Thermal, Entrainment, and 
Impingement Impacts on the Patuxent River in Accordance with 
the Code of Maryland Regulation 08.05.04.13; 4:123-196. 
Available from: Academy of Natural Sciences, Philadelphia, PA. 

Baltimore Gas and Electric Company. 1970. Description of plant 
effluent and waste systems. Environmental Report, Calvert Cliffs 
Nuclear Power Plant. Pp. B1-B14. Available from: Baltimore 
Gas and Electric Co., Baltimore, MD. 

Burton, D. T. 1976. Impingement studies. II. Qualitative and quanti- 
tative survival estimates of impinged fish and crabs. Semi-annual 
Environmental Monitoring Report for the Calvert Cliffs Nuclear 
Power Plant, March 1976. Pp 11.2-1-11.2-49. Available from: 
Baltimore Gas and Electric Co., Baltimore, MD. 

. 1978. The response of two estuarine Crustacea exposed to 
time- temperature changes simulating once- through, 10 C AT, 
power plant condenser entrainment. Rep. No. 78-30: 22 p. 
Available from: Academy of Natural Sciences, Philadelphia, PA. 

Cargo, D. G. 1960. A megalops of the blue crab, Callinectes sapidus, 
in the Patuxent River, Maryland. Oiesapeake Sci. 1:110. 

Costlow, J. D., Jr. & C. G. Bookhout. 1959. The larval development 
of Callinectes sapidus Rathbun reared in the laboratory. Biol. 
Bull. (Woods Hole) 116:373-396. 

Cox, D. R. 1970. Analysis of Binary Data. London, U.K.: Chapman 
and Hall. 142 p. 

Gallaway, B. J. & K. Strawn. 1975. Seasonal abundance and distri- 



bution of the blue crab, Callinectes sapidus Rathbun, in the dis- 
charge area of the P. H. Robinson Generating Station, Galveston 
Bay, Texas. Tex. J. Sci. 26:185-201. 

Hicks, C. R. 1973. Fundamental Concepts in the Design of Experi- 
ments. New York, NY: Holt, Rinehart and Winston. 349 p. 

Hirshfield, M. F., J. H. Hixson, III & J. D. White. 1980. Impingement 
studies. 1. Impingement counts. Nonradiological Environmental 
Monitoring Report, Calvert Cliffs Nuclear Power Plant, January- 
December 1979. Pp. 9.1-1-9.1-15. Available from: Baltimore 
Gas and Electric Co., Baltimore, MD. 

. 1981. Impingement studies. 1. Impingement counts. Non- 
radiological Environmental Monitoring Report, Calvert Cliffs 
Nuclear Power Plant, January-December 1980. Pp. 9.1-1-9.1-14. 
Available from: Baltimore Gas and Electric Co., Baltimore, MD. 

Hirshfield, M. F. & J. H. Hixson, III. 1982. Impingement studies. 
1. Impingement counts. Nonradiological Environmental 
Monitoring Report, Calvert Cliffs Nuclear Power Plant, January- 
December 1981. Pp. 8.1-1-8.1-18. Available from: Baltimore 
Gas and Electric Co., Baltimore, MD. 

Lippson, A. J. 1973. 77?e Oiesapeake Bay in Maryland- an Atlas of 
Natural Resources. Baltimore, MD: Johns Hopkins Univ. Press. 
55 p. 

May, E. B. 1973. Extensive oxygen depletion in Mobile Bay, 
Alabama. Limnol. Oceanogr. 18:353-366. 

Mihursky, J. A. & V. S. Kennedy. 1967. Water temperature criteria 
to protect aquatic life. A Symposium on Water Quality Criteria 
to Protect Aquatic Life. Amer. Fish. Soc. Spec. Publ. No. 4: 
2-32. 

National Marine Fisheries Service. 1972-1979a. Maryland landings, 
1970-1978. Current Fisheries Statistics No. 5719, 5914, 6115, 
6414, 6714, 6914, 7214, 7512 & 7717. U. S. Dept. of Commerce, 
Washington, D.C. 



Blue Crab Populations in Mid-Chesapeake Bay 



193 



. 1972-1979b. Virginia landings, 1970-1978. Current 
Fisheries Statistics No. 5720, 5915, 6116, 6415, 6715. 6915. 
7215, 7513 & 7718. U.S. Dept. of Commerce, Washington. D.C. 
. 1980. Maryland landings, 1979. Current Fisheries Statistics 



No. 8014. U.S. Dept. of Commerce, Washington, D.C. 

_. 1981. Virginia landings, 1979. Current Fisheries Statistics 
No. 8015. U.S. Dept. of Commerce, Washington, D.C. 

. 1982. Preliminary commercial fishery landings, by state 



(Maryland and Virginia). U.S. Dept. Comm., Natl. Mar. Fish. 

Serv., Resour. Stat. Div., Washington, D.C. 
Newcombe, C. L. 1945. The biology and conservation of the blue 

crab, Callinectes sapidus Rathbun. Va. Fish. Lab. Educ. Ser. 

No. 4: 39 p. 
, F. Campbell & A. M. Eckstine. 1949. A study of the form 

and growth of the blue crab Callinectes sapidus Rathbun. Growth 

13:71-96. 
Pearson. J. C. 1948. Fluctuations in the abundance of the blue crab 

in Chesapeake Bay. U.S. Fish Wildl. Serv. Res. Rep. 14: 26 p. 
Pullen, E. J. & W. L. Trent. 1970. Carapace width-total weight 

relation of blue crabs from Galveston Bay, Texas. Trans. Am. 

Fish. Soc. 99:795-798. 
Sandoz, M. & R. Rogers. 1944. The effect of environmental factors 

on hatching, moulting, and survival of zoea larvae of the blue 



crab Callinectes sapidus Rathbun. Ecology 25:216-228. 
Tagatz, M. E. 1965. The fishery for blue crabs in the St. Johns 

River, Florida, with special reference to fluctuation in yield 

between 1961 and 1962. U.S. Fish Wildl. Serv. Spec. Sci. Rep., 

Fish. 501: 11 p. 

. 1969. Some relations of temperature acclimation and salinity 

to thermal tolerance of the blue crab, Callinectes sapidus. Trans. 

Am. Fish. Soc. 98:713-716. 
Thoni, H. 1967. Transformations of variables used in the analysis 

of experimental and observational data. A review. Ames, IA: 

Iowa State Univ. Statistical Lab. Tech. Rep. No. 7 : 6 1 p. 
Truitt, R. V. 1939. Our water resources and their conservation. 

Solomons, MD: Chesapeake Biol. Lab., Contrib. No. 27: 103 p. 
U.S. Fish and Wildlife Service. 1970a. Maryland landings, 1969. 

U.S. Nat. Mar. Fish. Serv. Curr. Fish. Stat. No. 5307. 
. 1970b. Virginia landings. 1969. U.S. Nat. Mar. Fish. Serv. 

Curr. Fish. Stat. No. 5326. 
Van Engel, W. A. 1958. The blue crab and its fishery in Chesapeake 

Bay. I. Reproduction, early development, growth, and migration. 

Commer. Fish. Rev. 20(6) :6- 17. 

, 1962. The blue crab and its fishery in Chesapeake Bay. 

II. Types of gear for hard crab fishing. Commer. Fish. Rev. 

24(9):1-10. 



Journal of Shellfish Research. Vol. 3, No. 2, 195-201, 1983. 



MOVEMENTS OF TAGGED MALES OF TANNER CRAB 

CHIONOECETES BAIRDI RATHBUN OFF 

KODIAK ISLAND, ALASKA 

WILLIAM E. DONALDSON 

Alaska Department of Fish and Game 
333 Raspberry Road 
Anchorage, Alaska 99502 

ABSTRACT From 1973 through 1978, 11,196 males of the Tanner crab Chionoecetes bairdi Rathbun were tagged and 
released off of Kodiak Island. Alaska. A total of 1,961 tags was returned, 1,404 with accurate recovery data. Males which 
were tagged in bays tended to move into offshore areas while those tagged offshore remained in that general area. Crab 
movements were not extensive; mean net movement for all recoveries was 24 km (15 miles). The generalized movement 
models indicate the presence of stocks of large male Tanner crabs in the Shelikof, Marmot-Chiniak, Eastside, and South- 
west areas of Kodiak Island. 

KEY WORDS Tanner crabs. Chionoecetes bairdi. migration, tagging, movement 



INTRODUCTION 

The Tanner crab Chionoecetes bairdi Rathbun occurs 
from shallow nearshore areas to depths of 473 m (259 fm) 
and ranges from Puget Sound, Washington (Slipp 1952) and 
the Oregon coast (Hosie 1974) to the Aleutian Islands and 
southeastern Bering Sea (Garth 1958) where male Tanners 
are the basis for a major fishery (Otto 1981). 

Many fishermen hold traditional beliefs concerning 
Tanner crab migrations and cite time-related changes in 
catch with depth as evidence of inshore-offshore movement. 
Prior to this study, movement patterns of C. bairdi were 
unknown; however, some information on migrations of 
congeneric species does exist. Migration of the snow crab 
C. opilio (O. fabricius) was studied in the Atlantic around 
the Gaspe region of the Gulf of Saint Lawrence by Watson 
(1970) and Watson and Wells (1972). Their results indicated 
that tagged males traveled relatively little, with 85% of the 
returns recaptured within 20.3 km ( 1 1 mi) of the release 
points. Katoh et al. (1956) and Yoshida (1941) observed 
bathymetric separation of the sexes of C. opilio in the Sea 
of Japan indicating at least a seasonal migration for mating. 
Pereyra (1967) concluded that males of C. tanneri off the 
coast of Oregon showed seasonal variations in relative 
abundance with depth, whereas the female population was 
fairly stationary during all seasons, thus suggesting move- 
ment of males for reproductive purposes. 

In recent years, the fishery for C. bairdi has developed 
exponentially, but data on the life history of this species 
have not been accumulated in like manner. While C. bairdi 
has accounted for about one fourth of the recent domestic 
harvest of crabs by U.S. fishermen (Donaldson 1980), 
resource data are insufficient to define discrete stocks in 
most areas. The purpose of this study was to determine 
whether migrations or displacement of aggregations of 
males of C. bairdi occur over the shelf region surrounding 
Kodiak Island. 



MATERIALS AND METHODS 

Migration was studied by the release and recapture of 
tagged male crabs during a 6-year period (1973-1979). 
Males of > 110 mm carapace width (CW) were tagged and 
released between July 1973 and August 1975 off Kodiak 
Island, AK. In 1976, minimum tagging size was raised to 
135 mm CW because of the establishment of a commercial, 
minimum size limit. 

Crabs were tagged with a combination of Floy disc, 
FD 67 "T" bar, and a modified FD 67 "T" bar (also known 
as the McBride tag). The Floy disc is a temporary tag which 
is lost during ecdysis. The FD 67 "T" bar and modified 
FD 67 "T" bar are prototype permanent tags. Floy disc 
tags were used in all years except 1977; both FD 67 "T" 
bars and Floy discs were used in 1975; and only the modi- 
fied 67 "T" bar was used in 1 977. 

Crabs were captured with 2.1- X 2.1-m (7- X 7-ft) crab 
pots which were covered with 89-mm (3.5-in.) mesh. Tag 
number, date, location, and depth of capture were recorded 
for crabs tagged from 1973 through 1975. Exoskeletal age 
(intermolt period) and carapace width were also recorded 
beginning in 1976. Females, generally, are too small to 
be captured in pots and none were tagged during this study. 

Crabs were captured, tagged, and released at various 
inshore (bay) and offshore locations (Figure 1). Tagged 
crabs were recovered from fishermen and at processing 
plants. Recovery data included tag number, date, location 
and depth of capture, carapace width, and exoskeletal age. 
Only recaptures with complete recovery data were used in 
this study. 

Distance and direction of net migration and the absolute 
depth change were recorded for the year of release and 
for inshore (bay) and offshore areas. All recovery data 
were collated by specific geographical area for the duration 
of the study and migration by specific areas was analyzed. 
The data were insufficient to assess migration by cohorts; 



195 



196 



Donaldson 



— 59°N 




such group was determined. Changes in depth were deter- 
mined and represent the percentage of crabs that were 
recovered deeper, shallower, or remained at the release 
depth. Directions of movement and recovery locations 
were analyzed using computer-calculated ellipses that 
represented a 95% confidence interval of direction and 
recovery region data. Information on the distribution of 
fishing effort was obtained from a fish-ticket reporting 
system. 



— 59°N 



156° 



155 



Figure 1. Release sites of males of the Tanner crab Chionoecetes 
bairdi Rathbun at Kodiak, AK. Top: bay sites (7) 1973-1978. 
Middle: offshore sites (X) 1973-1975. Bottom: offshore sites (X) 
1976-1978. Alitak Bay (A), Chiniak Bay (C), Eastside area (E), 
Kiliuda Bay (K), Kupreanof-Viekoda Bay area (K-V), Marmot- 
Chiniak Bay area (M-C), Marmot-Kizhuyak Bay area (M-K), 
Sitkalidak Bay (S), Shelikof area (SH), Southwest area (SW). 

therefore, the crabs were grouped by 30-day periods 
between release and recovery. The mean movement by each 



RESULTS 



1973 



A total of 2,285 male crabs (> 1 10 mm CW) were tagged 
and released between 15 July and 5 August (Table 1 ). The 
majority (2,024) was released in offshore areas, while 
261 tagged crabs were released in inshore bays. A total of 
486 recoveries were made, 415 from offshore and 71 from 
inshore (bays). Catch data were available from 361 (15.8%) 
of the tagged crabs. Time of freedom ranged from 26 to 
1,376 days (Table 2). Crabs recovered within one, two, and 
three years of release represented 72.5%, 19.1%, and 7.4% 
of total recoveries, respectively. Three crabs (0.8%) were 
captured in their fourth year after tagging. Mean migration 
distance (based on two or more recovered crabs) ranged 
from 49.6 km (30.8 mi) for nine crabs that were free 
between 961 and 990 days, to 11.5 km (7.1 mi) for two 
crabs that were free 481 to 510 days (Table 2). The mean 
absolute distance traveled was 27.9 km (17.3 mi) for all 
recovered crabs. Crabs that were tagged and released in 
bays tended to move offshore while those tagged and 
released offshore remained offshore and within the 
geographic area of release. Depth change was variable, with 
175 crabs (48.4%) recaptured at points shallower than 
their release depth, 179 (49.6%) recaptured at deeper 
points, and 7 ( 1 .9%) recaptured at their release depth. 

1974 

During 1974, 1,846 male crabs ( > 1 10 mm CW) were 
tagged with Floy disc tags and released (Table 1). The 
majority (1,472) was released in offshore areas, while 374 
were released in bay areas. A total of 397 tags were 
recovered (340 offshore, 57 inshore). Catch data were 
available from 310 recoveries or 16.8% of all crabs tagged. 
Time of freedom ranged from 30 to 1.080 days (Table 2). 
Crabs recaptured within one, two, and three years of release 
represented 57.7%. 36.9% and 5.4% of all recoveries, 
respectively. The longest mean (absolute) movement was 
83.5 km (51.9 mi) for four crabs that were free between 
991 and 1,020 days; the shortest mean movement was 
12.0 km (7.5 mi) for two crabs that were free from 1,021 
to 1,050 days (Table 2). The overall mean distance of net 
migration was 26.8 km (16.7 mi). Movement in all offshore 
areas was localized within the area of release. Crabs tagged 
and released in bays tended to move offshore as did the 



Movements of Tagged Tanner Crabs 



197 






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198 



Donaldson 



TABLE 2. 

Distance moved from release site for males of the Tanner crab Chionoecetes bairdi Rathbun off Kodiak Island, AK, 1973- 
Mean movement from release site in km and number of crabs indicated within parentheses. 



1978. 



Days of 
Freedom 



1975* 



1973 



1974 



ADFG 



NMFS 



1976 



1977 



1978 



All Years 



1- 30 

31- 60 

61- 90 

91- 120 

121- 150 

151- 180 

181- 210 

211- 240 

241- 270 

271- 300 

301- 330 

331- 360 

One Year 

361- 390 
391- 420 
421- 450 
451- 480 
481- 510 
511- 540 
541- 570 
571- 600 
601- 630 
631- 660 
661- 690 
691- 720 



Two 

721- 
751- 
781- 
811- 
841- 
871- 
901- 
931- 
961- 
991- 
1021- 
1051- 



Years 

- 750 

- 780 
810 
840 

- 870 
900 
930 

- 960 
990 

1020 
1050 
1080 



Three Years 
1343-1376 



23.7 
24.0 
11.0 
31.6 
35.3 
17.9 
26.9 
30.8 
27.9 
22.3 



24.7 
12.8 

11.5 
56.0 



31.7 
23.2 
30.8 
13.0 



31.7 
49.0 
29.0 

17.0 
23.5 
49.6 
43.1 
38.5 



34.3 



(3) 

(3) 

(1) 

(23) 

(12) 

(21) 

(21) 

(39) 

(106) 

(33) 

(0) 

(0) 

(0) 
(8) 
(4) 
(0) 
(2) 
(1) 
(0) 
(0) 
(3) 
(29) 
(21) 
(1) 

(0) 
(0) 
(3) 
(1) 
(2) 
(0) 

(1) 

(2) 
(9) 
(7) 
(2) 
(0) 

(3) 



17.1 
24.8 
22.7 
25.0 
60.0 



43.3 
28.6 
19.1 
14.3 



25.2 
19.6 
24.0 
38.5 
20.3 
24.8 
24.0 
24.3 



19.0 



41.3 
29.5 
83.5 
12.0 
30.0 



(1) 

(17) 

(6) 

(1) 

(1) 

(0) 

(0) 

(0) 

(24) 

(78) 

(48) 

(4) 

(0) 

(0) 

(4) 

(5) 

(2) 

(14) 

(19) 

(12) 

(25) 

(34) 

(0) 

(0) 

(0) 
(0) 
(0) 
(1) 
(0) 
(0) 
(0) 
(3) 
(4) 
(4) 
(2) 
(1) 

(0) 



7.3 
8.0 

15.4 
19.4 
17.4 
16.0 
12.3 
20.6 



4.0 
32.0 



20.5 
25.4 
20.5 
41.0 



138.0 
55.0 



(0) 

(3) 

(1) 

(0) 

(22) 

(9) 

(20) 

(26) 

(19) 

(5) 

(0) 

(0) 

(0) 
(1) 
(1) 
(0) 
(0) 
(0) 
(4) 
(8) 
(2) 
(1) 
(0) 
(0) 

(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(1) 
(1) 
(0) 
(0) 
(0) 
(0) 

(0) 



30.0 
38.1 
25.5 
14.9 
15.8 



(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 

(0) 
(1) 
(2) 
(30) 
(36) 
(5) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 

(0) 
(0) 
(4) 
(0) 
(2) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(0) 



(0) 



21.0 



15.0 



17.5 
18.4 
18.5 
23.0 
25.8 
46.0 



10.0 



14.0 
39.5 
9.3 
8.5 
26.0 
29.0 
23.0 



31.0 

41.0 
28.5 
34.0 



(0) 

(0) 

(0) 

(0) 

(0) 

(9) 

(46) 

(57) 

(59) 

(38) 

(1) 

(0) 

(1) 

(0) 

(0) 

(2) 

(2) 

(3) 

(1) 

(11) 

(60) 

(21) 

(0) 

(0) 

(0) 
(0) 
(0) 
(0) 
(0) 
(0) 
(1) 
(3) 
(2) 
(1) 
(0) 
(0) 



11.4 
9.8 
9.7 
32.3 
15.3 
17.7 
15.9 
24.0 



47.0 



40.5 
20.0 
25.5 
20.7 



(0) 

(2) 

(5) 

(7) 

(4) 

(11) 

(38) 

(34) 

(47) 

(0) 

(0) 

(0) 

(0) 
(0) 
(1) 
(0) 
(0) 
(2) 
(2) 
(2) 
(3) 
(0) 
(0) 
(0) 

(0) 



6.0 
87.0 



19.0 
19.5 
17.3 
18.4 



(0) 
(1) 
(1) 
(0) 
(0) 
(1) 
(4) 
(27) 
(19) 
(0) 
(0) 
(0) 



(0) 



23.5 
20.9 
20.8 
26.0 
24.4 
17.2 
19.5 
20.1 
25.8 
26.3 
19.6 
14.3 

10.0 
23.2 
28.8 
24.1 
17.7 
25.7 
19.9 
25.4 
26.8 
23.8 
30.8 
13.0 



25.6 
34.0 
19.5 

62.0 
38.8 

41.4 
55.8 
25.3 
30.0 



(4) 

(26) 

(14) 

(31) 

(39) 

(51) 

(129) 

(183) 

(274) 

(154) 

(49) 

(4) 

(1) 
(10) 
(12) 
(37) 
(42) 
(25) 
(26) 
(33) 
(93) 
(85) 
(21) 

(1) 

(0) 
(0) 
(7) 
(2) 
(4) 
(0) 
(3) 
(9) 
(15) 
(12) 
(4) 
(1) 



N 


361 


310 


124 


80 


318 


158 


53 


1404 


2km/N 


















= mean (km) 


27.9 


26.8 


18.2 


21.1 


23.1 


19.4 


19.0 


24.0 



*ADFG. Alaska Department of Fish and Game; NMFS. National Marine Fisheries Service. 



1973 releases. Of the 310 returns, 168 (54.2%) were 
recovered at points deeper than their release depth, 108 
(34.8%) were recovered at shallower points, and 34 (10.9%) 
were recaptured at their release depth. 



1975 



Between 15 July and 12 November 1975, 2,106 crabs 



1,174 were tagged with FD 67 "T" bar tags and 932 crabs 
bore Floy discs. A total of 1,268 (60.2%) crabs were 
released in offshore areas while 838 (39.8%) were released 
in bays (inshore). A total of 325 were recovered, 226 from 
offshore and 99 from inshore areas. Catch data are available 
from 204 of the recoveries or 9.7% of all crabs tagged. 
Time of freedom ranged from 40 to 935 days (Table 2). 



(3 s 1 10 mm CW) were tagged and released (Table l);of these. Crabs recovered within one, two and three years of release 



Movements of Tagged Tanner Crabs 



199 



accounted for 48.8%, 47.4%, and 3.8% of all recoveries, 
respectively. The longest mean net movement was 38.1 km 
(23.6 mi) for two crabs that were free from 421 to 450 days 
(Table 2). The shortest mean movement was 7.3 km (4.5 mi) 
for three crabs that were free from 31 to 60 days. The 
overall mean distance of migration was 19.3 km (12.0 mi). 
Little difference existed in the mean (absolute) distances of 
migration for crabs tagged with the FD 67 "T" bar (21.1 km 
[13.1 mi]) versus those bearing Floy discs (18.2 km [ 1 1 .3 
mi] ). Recoveries were restricted to the northeastern and 
eastern sides of the island. Movement of offshore crabs was 
localized around the area of release while crabs tagged 
inshore moved offshore. Forty-one (20.1%) crabs were 
recaptured at points shallower than their release, 153 
(75.0%) were recaptured at deeper points, and 10 (4.9%) 
were recaptured at their release depth. 

1976 

Between 24 June and 8 August 1976, 2.324 crabs 
(> 135 mm CW) were released bearing Floy disc tags. As 
in previous years, the majority of tagged crabs (2,023 
[87%]) were released in offshore areas; 301 (13%) were 
tagged and released inshore (bays) (Table 1). A total of 
499 recoveries were made of which 434 were crabs tagged 
and released offshore and 65 were crabs that had been tagged 
and released inshore. Catch data are available from 318 
recoveries or 13.7% of the total releases. Time of freedom 
ranged from 166 to 994 days (Table 2). Crabs recovered 
within one, two, and three years of release represented 
66.3%. 31.5% and 2.2%, respectively, of total recoveries. 
Mean movement by 30-day periods ranged from 9.3 km 
(5.8 mi) for three crabs that were free from 511 to 540 days 
to 41.0 km (25.5 mi) for three crabs that were free from 
931 to 960 days. The mean (absolute) distance traveled by 
all 318 crabs was 23.1 km (14.4 mi) (Table 2). Two- 
hundred nine crabs (65.7%) were recovered from points 
shallower than release depth and 109(34.3%) were recovered 
from water deeper than release depth. 

1977 

Between 27 June and 18 August 1977, 1,672 crabs 
(> 135 mm CW) were tagged with the modified FD 67 "T" 
bar tag; 1,351 (80.8%) were released in offshore areas, 
while 321 (19.2%) were released in bays. A total of 181 tags 
were recovered (167 offshore, 14 inshore). Catch data are 
available from 158 or 9.4% of the total releases. Time of 
freedom ranged from 44 to 61 7 days (Table 2). The majority 
of the recoveries (148 [93.7%] ) occurred within one year 
of release, the remainder ( 10 [6.3%] ) were recovered during 
the second year. Mean movement ranged from 9.7 km 
(6.0 mi) for seven crabs that were free from 91 to 120 days 
to 40.5 km (25.2 mi) for two crabs that were free 511 to 
540 days. The mean (absolute) distance migrated for all 
158 crabs was 19.4 km (12.1 mi) (Table 2). Movement 
patterns were consistent with those from previous years 



and regions where tagging took place. The majority of crabs 
(105 [66.5%]) were recovered from points shallower than 
their release sites, 43 (27.2%) had moved deeper, while 
10 (6.3%) were recaptured at their release depth. 

1978 

A total of 963 crabs (> 135 mm CW) were tagged with 
Floy disc tags and released in the southern portion of the 
Kodiak Island area. No tagging was done in bays. Seventy- 
three recoveries were made; reliable catch data are available 
for 53 or 5.5% of the total releases. Time of freedom ranged 
from 55 to 263 days (Table 2). The longest mean (absolute) 
movement was 19.5 km (1 1 .8 mi) (Table 2). No crabs tagged 
offshore were recovered inshore. Thirty-seven crabs (71 .2%) 
were recovered in depths shallower than release depths, 
15 (28.8%) were recovered at deeper depths, and 1 crab was 
recaptured at the same depth as released. 

Inshore Areas, 1973-1978 

Tagging and recovery trends for inshore (bay) areas for 
all years combined are depicted in Figure 2. A total of 
212 tagged crabs with recovery data from all bays (Table 1 ) 
were obtained during the course of this study; they ranged 
from 52 crabs from Sitkalidak Bay (S) to 17 from the 
Marmot-Kizhuyak Bay area (M-K). Movement from the 
midpoint of the release locations to the midpoint of the 
recovery locations was greatest in Marmot-Kizhuyak Bay 
(33.6 km [20.9 mi] ), while the least movement occurred 
in theKupreanof-ViekodaBay(K-V) area (9.6 km [6.0 mi] ). 
Movement of crabs tagged and released in Kiliuda (K) and 
Alitak (A) bays averaged 14.4 km (8.9 mi);Chiniak Bay (C) 
movement averaged 17.6 km (10.9 mi); and Sitkalidak Bay 
on the southeastern side of Kodiak Island averaged 22.3 km 
(13.9 mi). All crabs tagged and released in bays demonstrated 
an offshore movement with the exception of Kupreanof- 
Viekoda Bay area recoveries, which demonstrated both 
offshore and onshore movement. 

Offshore Areas, 1973-1978 

Of the tagged crabs released in offshore areas from 1973 
to 1978, 1,192 were recovered with complete catch data 
(Table 1 ). Direction and magnitude of migration are depicted 
in Figure 2. Four individual stocks are somewhat apparent 
on that figure: (1) Marmot-Chiniak (M-C) area, 230 taggs 
recovered; (2) Eastside (E), 494 tags recovered; (3) Southwest 
(SW), 453 tags recovered; and (4) Shelikof (SH), 15 tags 
recovered. Crabs appeared to move around in the area of 
tagging and release with no immigration into bay areas or 
adjacent stocks. There is an apparent westerly movement 
of crabs released in the northern portion of the Eastside 
and Shelikof areas; however, because of the small number 
of tagged crabs recovered, the data do not permit a firm con- 
clusion. The apparent northerly movement in the southern 
portion of the Eastside area was probably caused by a lack 
of commercial fishing to the south of the release points. 



200 



Donaldson 



The Marmot-Chiniak and Eastside stocks are separated 
by a deep gully of 144 to 215 m (80 to 120 fm) depth; 
that gully may be a physical barrier that separates postlarval 
crabs into independent stocks. Likewise, the Eastside and 
Southwest stocks are separated by a large shallow area of 
18 to 36 m (10 to 20 fm) running northeast-southwest; 
that ridge may also limit or cross channel movement. 



59° N 



— 58° 



-57° 



— 56° 




156° 155° 154' 



53° 152° W 



59° N 




156° 



155° 



154° 



152° W 



Figure 2. Movements of tagged males of the Tanner crab Chionoecetes 
bairdi Rathbun released from 1973 through 1978 at Kodiak, AK. 
Top: inshore (bay) recoveries (212). Bottom: offshore recoveries 
(1,192). (Ellipse represents 95% confidence region.) Alitak Bay (A), 
Chiniak Bay (C), Eastside area (E), Kiliuda Bay (K), Kupreanof- 
Viekoda Bay area (K-V), Marmot-Chiniak Bay area (M-C), Marmot- 
Kizhuyak Bay area (M-K), Sitkalidak Bay (S), Shelikof area (SH), 
Southwest area (SW). 



DISCUSSION 

Tag recovery is dependent on when and where fishermen 
place their crab pots. From 1973 through 1978, 57,334.7 mt 
(124,809,323 lb) of Tanner crabs were harvested off 
Kodiak Island. Those landings represented approximately 
49,934,730 crabs at 1.13 kg (2.5 lb) per crab. After release, 
tagged crags were first subjected to recapture in the fall 
fishery (August- December) for the king crab Paralithodes 
camtschatica (Tilesuis). (Tanner crabs are captured 
incidental to king crabs because the two species tend to 
share the same habitat.) Tagged crabs were then subjected 
to recapture during the Tanner crab fishery that opens 
between November and January and closes m April or 
May. 

From 1973 to 1978 fishing effort expanded to cover all 
major habitats of king and Tanner crabs. Fishermen with 
smaller vessels tended to fish the nearshore areas while 
fishermen with larger vessels primarily fished the deeper, 
offshore areas. The tag-recovery data were influenced by 
the peculiarities in fishing patterns; however, recovery of 
tagged crabs appeared to be reasonably well distributed 
over the study area and should provide a reasonable picture 
of migration. 

Tagged males did not move extensively from their release 
sites. The results of this study demonstrated that although 
there were examples of extensive movement for small 
numbers of crabs, the mean (absolute) movement was only 
24.0 km (15.0 mi). Although periods of freedom for tagged 
individuals varied from less than one month to 3.8 years, no 
correlation between time and absolute distance migrated 
was evident. Watson (1970) and Watson and Wells (1972) 
demonstrated a mean movement of 20.3 km (11 mi) for 
adult males of Chionoecetes opilio. Male Tanner crabs that 
were captured and tagged in bay areas tended to move to 
deeper, offshore waters while those captured and tagged in 
offshore waters remained offshore and migrated randomly 
within a geographic area. These findings have implications 
for management of the resource. High exploitation rates 
in offshore areas may be partially compensated for by 
immigration of mature crabs from bays. High exploitation 
rates in bays may present a more difficult management 
situation because recruitment into the fishable size range 
is dependent on annual recruits to legal size with no 
apparent immigration of offshore crabs. 

An additional result of this study is that postlarval crabs 
may be separated into manageable stocks because there is 
little or no apparent movement between designated 
geographic regions. Additional tag-and-recapture studies in 
the vicinity of apparent geographic stock boundaries and 
bathymetric features should help demonstrate whether or 
not those apparent stocks are distinct or an artifact of 
aggregated release locations. 



Movements of Tagged Tanner Crabs 



201 



ACKNOWLEDGMENTS I thank Dr. Jerry Reeves of the Montlake Laboratory of 

I acknowledge Matthew Dick, David Hicks, Rich Peterson, the National Marine Fisheries Service, Seattle, WA, for the 
Mary Clemens, and Marilyn Kemerer for their contributions, use of his crab tagging data. 

references cited 



Donaldson, W. E. 1980. Alaska Tanner crab investigations. Alaska 
Dep. Fish GameComp. Rep. Prof. No. 5-41-R: 122 p. 

Garth, J. S. 1958. Brachyura of the Pacific Coast of North America. 
Oxyrhyncha. Allen Hancock Pacific Exped. Los Angeles, CA: 
University Southern California Press. 21: 854 p. 

Hosie. M. J. 1974. Southern range extension of the Baird crab. 
Chionoecetes bairdi Rathbun. Calif. Dep. Fish Game Fish Bull. 
60:44-47. 

Katoh, G., 1. Yamanaka, A. Ochi & T. Ogata. 1956. General aspects 
on trawl fisheries in the Japan Sea. Bull. Jpn. Sea Reg. Fish. 
Res. Lab. 4:1-331. (In Japanese with English summary; transla- 
tion of pp. 293-305 available from U.S. Natl. Mar. Fish. Serv. 
Trans. Prog., Seattle, WA.) 

Otto, R. S. 1981. Eastern Bering Sea crab fisheries. Wood, D. W. and 
J. A. Calder, eds. Tlie Eastern Bering Sea Shelf: Oceanography 
and Resources. Seattle, WA: Univ. Washington Press. Vol. II: 
1037^1066. 

Pereyra, W. 1967. The bathymetric and seasonal abundance and 



general ecology of the Tanner crab, Chionoecetes tanneri Rathbun 
(Brachyura: Majidae), off the northern Oregon coast. Seattle, 
WA: Univ. Washington. Thesis. 415 p. 

Rathbun. M. J. 1924. The spider crabs of America. U.S. Natl. Mus. 
Bull. 129:613 p. 

Slipp, J. W. 1952. Status of crab, Oiionoecetes bairdi, in the inshore 
waters of Washington and British Columbia. Wasmann J. Biol. 
10:235-239. 

Watson, J. 1970. Tag recaptures and movements of adult male snow- 
crabs. Oiionoecetes opilio (O. fabricius) in the Gaspe region of the 
Gulf of S t. Lawrence. Fish. Res. Board Can. Tech. Rep. No. 204:1 6p. 

& P. G. Wells. 1972. Recaptures and movements of tagged 

crabs (Oiionoecetes opilio) in 1970from theGulfof St. Lawrence. 
Fish. Res. Board Can. Tech. Rep. No. 349:12 p. 

Yoshida, H. 1941. On the reproduction of useful crabs in North 
Korea (II). Suisan Kenkyushi 36:116-123. (In Japanese; transla- 
tion of pp. 116-121 available from U.S. Natl. Mar. Fish. Serv. 
Trans. Prog., Seattle, WA.) 



Journal of Shellfish Research. Vol. 3, No. 2, 203-205, 1983. 

RESEARCH NOTE 

CHEMICAL INDUCTION OF SPAWNING BY SEROTONIN IN THE 
OCEAN QUAHOG ARCTICA ISLANDICA (LINNE) 

M. C. GIBBONS; J. G. GOODSELLt M. CASTAGNA 1 
AND R. A. LUTZ 2 

1 Virginia Institute of Marine Science and 
School of Marine Science 

College of William and Mary 
Wachapreague, Virginia 23480 

2 Department of Oyster Culture 

New Jersey Agricultural Experiment Station 
Cook College, Rutgers University 
New Brunswick, New Jersey 08903 

ABSTRACT Serotonin injected into the anterior adductor muscle induced spawning in the ocean quahog Arctica 
islandica (Linne) when using either individual or mass spawning techniques. This represents the first successful attempt to 
induce the release of gametes in this species which historically has been unresponsive to conventional spawning stimuli. The 
gametes released were competent and fertilization occurred without treating the encapsulated eggs with ammonium 
hydroxide or other chemicals. Larvae were reared through metamorphosis to early juvenile stage. 

KEY WORDS: Ocean quahog, Arctica islandica, spawning, serotonin 



INTRODUCTION 

The ocean quahog .4 re /7a7 islandica (Linne) spawns from 
August through November on the southern New England 
shelf and off New Jersey (Jones 1981, Mann 1982). Attempts 
to spawn the ocean quahog in the laboratory have been 
unsuccessful. Various combinations of stimuli such as 
thermal shock, addition of gonadal products, salinity and 
pH changes, and exposure to hydrogen peroxide, which 
are effective with many other bivalve species, have not 
induced spawning (Loosanoff 1953, Landers 1976, Lutz 
et al. 1 982. Mann 1 982). All larvae of ocean quahogs cultured 
to date under laboratory conditions have been reared from 
stripped gametes that had been fertilized after pretreatment 
of eggs with ammonium hydroxide (Landers 1976, Lutz 
et al. 1981). 

Serotonin (5-hydroxytryptamine, creatinine sulfate 
complex) has proven to be an effective chemical inducer of 
spawning for many bivalve species (Matsutani and Nomura 
1982, Gibbons and Castagna [in press]). The injection of 
serotonin into the anterior adductor muscle or gonad of 
certain bivalve species when ripe will induce spawning 
using individual spawning techniques without any additional 
stimuli. The present study describes the successful spawning 
of ocean quahogs in the laboratory using serotonin. 

MATERIALS AND METHODS 

Sexually mature ocean quahogs, ranging in shell length 
from 8 to 13 cm, were obtained in October 1983 using a 



Contribution No. 1220 from Virginia Institute of Marine Science. 
Publication No. D-32401-2-85, supported by state and various 
National Oceanic and Atmospheric Administration Sea Grant funds 
to Rutgers University. 



commercial hydraulic dredge in 50 to 80 m of water off 
Cape May, NJ. The specimens were kept on ice for approxi- 
mately 1 2 hours during transport from the sampling site. 
Upon arrival at the Wachapreague Laboratory of the Virginia 
Institute of Marine Science, half of the ocean quahogs 
were immediately placed in individual dishes of seawater 
for spawning while the other half were held in a recirculating 
seawater table at 15— 16°C. 

A 2-mM solution of serotonin (Sigma Chemical Company, 
St. Louis, MO) was prepared by dissolving crystalline 
serotonin in l-/im-filtered seawater. Each ocean quahog was 
washed and a small notch filed into the valve margin 
adjacent to the anterior adductor muscle. To induce 
spawning, 0.4 mC of the 2-mM serotonin solution was 
hypodermically injected into the anterior adductor muscle. 

Both individual and mass spawning techniques as 
described by Castagna and Kraeuter (1981) were utilized 
without any thermal shock or other stimulation to spawn 
ocean quahogs. All spawning experiments were conducted 
at a salinity of 32 ppt and at a controlled temperature of 
15-16°C. Ocean quahogs were spawned by placing single 
specimens in glass dishes containing IS of l-/jm-filtered 
seawater. Mass spawning was achieved by placing the 
quahogs in troughs containing 140 2 of static, l-/jm-filtered 
seawater. Equal numbers of quahogs in the control groups 
were treated in the same manner as the test groups except 
they were injected with 0.4 m? of l-/am-filtered seawater 
instead of the serotonin solution. The control animals from 
trial 1 of the mass spawning were the test group for trial 2. 
The G-test of independence and Williams' correction for a 
2X2 contingency table were used to statistically determine 



203 



204 



Gibbons, et al. 



whether spawning was independent of injection with the 
serotonin solution (Sokal and Rohlf 1981). 

Eggs obtained from the serotonin-induced spawnings were 
fertilized using standard techniques developed for other 
bivalves (Loosanoff and Davis 1963, Castagna and Kraeuter 
1981). Eggs were not pretreated with ammonium hydroxide 
or other chemicals prior to fertilization. The larvae were 
reared through settlement and metamorphosis to early 
post-set at 13.5°C. 

RESULTS AND DISCUSSION 

Injection of the serotonin solution induced gamete 
release in both the individual and mass spawning trials, 
although greater percentages (35.5% and 37.1%) of ocean 
quahogs spawned using the mass spawning technique than 
for the individual method (17.1% and 22.5%) (Table 1 ). In 
each case larger numbers of quahog males spawned than 
females. This, however, may be a dose response. Ocean 
quahogs injected with serotonin extended their siphons, 
probed with their feet, and began spawning within 
15 minutes. The control groups injected with filtered sea- 
water did not exhibit any of these behavioral patterns and 
did not spawn. 

The egg capsules of the ocean quahog are unlike any 
structures described for bivalves (Castagna et al. 1982). The 
encapsulated eggs were slightly ovoid and ranged from 
75.0 to 85.0 jum in diameter (X = 79.9 jim;S.D. = 1.3 Mm). 
Fertilization occurred in mass spawnings and similarly upon 
addition of sperm in individual spawnings without chemical 
pretreatment of the freshly spawned eggs. The egg capsules 
have been suggested as being responsible for the difficulty 
in spawning ripe ocean quahogs or in fertilizing stripped 
eggs (Lutz et al. 1982). but no difficulty was observed with 
this technique. Exposure of stripped eggs to ammonium 



hydroxide may result in a lower percentage of normally 
developing larvae compared to naturally spawned eggs 
(Loosanoff and Davis 1963). Serotonin-induced spawning 
appears to be a more effective means of obtaining gametes 
from ripe ocean quahogs than stripping gametes from 
mature individuals. 

The development of larvae from the trochophore stage 
through metamorphosis was similar to that described for 
larvae of this species obtained from fertilization of stripped 
eggs (Landers 1976; Lutz et al. 1981, 1982). Developing 
eggs were encapsulated up to the gastrula stage, at which 
time the egg capsules were lost. Metamorphosis occurred 
at shell lengths of 170.6 to 266.7 |um (X = 220.5 /im; 
S.D. = 19.8 /im) between 37 and 62 days after natural 
fertilization, which was similar to results obtained by others 
for fertilized strippedeggs (Landers 1976, Lutz et al. 1982). 

To date, serotonin has been effectively utilized to induce 
spawning in several species of bivalves (Matsutani and 
Nomura 1982. Gibbons and Castagna [in press]). It is a 
neurotransmitter that occurs naturally in the cerebropleural, 
pedal, and visceral ganglia of Arctica islandica at concentra- 
tions of 20 jug • g fresh tissue" 1 (Welsh and Moorhead 1960). 
In laboratory studies, serotonin has been found to excite 
excised hearts of ocean quahogs by stimulating the cardio- 
regulatory nerves (Gaddum and Paasonen 1955, Leake and 
Walker 1980). The physiological role of serotonin as an 
inducer of spawning in bivalves is unknown. 

The use of serotonin has induced spawning in the ocean 
quahog, a bivalve that historically has been difficult to 
spawn in the laboratory. Serotonin has potential value to 
induce spawning in other bivalves which are resistant to 
conventional spawning stimuli. The advantages of this 
technique include ease of use and rapid and synchronous 
spawning of ripe individuals. 



TABLE 1. 

Numbers of ocean quahogs induced to spawn by injection of serotonin. 



Spawning Technique 


Treatment 


Number Tested 


Number Spawned 


Percentage Spawned 


Number Males 


Number Females 


Individual - trial 1 


Serotonin 


35 


6* 


17.1 


5 


1 




Control 


35 














Individual - trial 2 


Serotonin 


40 


9* 


22.5 


7 


2 




Control 


40 














Mass — trial 1 


Serotonin 


35 


13* 


37.1 


10 


3 




Control 


35 














Mass - trial 2 


Serotonin 


31 


11 


35.5 


10 


1 



'significant at P < 0.005. 



Chemical Induction of Spawning by Serotonin 



205 



REFERENCES cited 



Castagna. M., J. Goodsell. R. Lutz & R. Mann. 1982. The egg capsule 

of Arctica islandica. J. Shellfish Res. 2:91-92. 
Castagna, M. & J. N. Kraeuter. 1981. Manual for growing the hard 

clam Mercenaria. Va. Inst. Mar. Sci. Spec. Rep. Appl. Mar. Sci. 

Ocean Eng. 249: 110 p. 
Gaddum, I. H. & M. K. Paasonen. 1955. The use of some molluscan 

hearts for the estimation of 5-hydro\ytryptamine. Br. J. 

Pharmacol. 10:474-483. 
Gibbons, M. C. & M. Castagna. (in press) Serotonin as an inducer 

of spawning in six bivalve species. Aquaailture . 
Jones, D. S. 1981. Reproductive cycles of the Atlantic surf clam, 

Spisula solidissima. and the ocean quahog, Arctica islandica. 

off New Jersey. J. Shellfish Res. 1:23-32. 
Landers, W. S. 1976. Reproduction and early development of the ocean 

quahog, Arctica islandica, in the laboratory. Nautilus 90:88-92. 
Leake. L. D. & R. J. Walker. 1980. Invertebrate Neuropharmacology . 

New York, NY: John Wiley and Sons. 102-143. 
Loosanoff, V. L. 1953. Reproductive cycle in Cyprina islandica. 

Biol. Bull. (Woods Hole) 104:146-155. 



& H. C. Davis. 1963. Rearing of bivalve mollusks. Adv. 

Mar. Biol. 1:1-136. 
Lutz, R. A., J. G. Goodsell, R. Mann & M. Castagna. 1981. Experi- 
mental culture of the ocean quahog, Arctica islandica. J. World 

Maricul. Soc. 12:196-205. 
Lutz. R. A., R. Mann. J. G. GoodseU & M. Castagna. 1982. Larval 

and early development of Arctica islandica. J. Mar. Biol. Assoc. 

U.K. 62:745-769. 
Mann, R. 1982. The seasonal cycle of gonadal development in 

Arctica islandica from the Southern New England Shelf. U.S. 

Natl. Mar. Fish. Serv. Fish. Bull. 80:315-326. 
Matsutani, T. & T. Nomura. 1982. Induction of spawning by 

serotonin in the scallop. Patinopecten yessoensis (Jay). Mar. 

Biol. Lett. 3:353-358. 
Sokal, R. R. & F. J. Rohlf. 1981. Biometry. 2nd ed. San Francisco, 

CA : W. H. Freeman & Co. 859 p. 
Welsh, J. H. & M. Moorhead. 1960. The quantitative distribution of 

5-hydroxytryptamine in the invertebrates, especially in their 

nervous systems. J. Neurochem. 6:146-169. 



Journal of Shell fish Research, Vol 3, No. 2, 207-221, 1983. 



NATIONAL SHELLFISHERIES ASSOCIATION 



ACTIVE MEMBERS 

(As of 1 January 1984) 



*Denotes Honorary Members 



ABBOTT, Dr. R. Tucker, American Malacologists, Inc., P.O. Box 

2255, Melbourne, FL 32901 
ADAMKEWICZ. Dr. S. Laura, Dept. of Biology, George Mason Univ., 

4400 University Drive, Fairfax, VA 22030 
AKASHIGE, Satoru, Hiroshima Fisheries Experiment Station, 

5233-2 Ondo, Aki-gun, Hiroshima 737-12 Japan 
ALLEN, Donald. National Marine Fisheries Service, Southeast 

Fisheries Center. 75 Virginia Beach Dr., Miami, FL 33149 
ALLEN, Standish, K., 313 Murray Hall, Univ. of Maine, Orono, 

ME 04469 
ALATALO, Philip, Marine Biological Laboratory, Woods Hole, 

MA 02543 
ALPER1N, Irwin M., Atlantic States Marine Fisheries Commission, 

1717 Massachusetts Ave., NW, Washington, DC 20036 
ANDERSON, Bruce A., 105 A. Kelly Rd., Clemson, SC 29631 
ANDERSON, W. C, South Carolina Marine Research Inst., P.O. 

Box 12559, Charleston, SC 29412 
'ANDREWS, Jay D , Virginia Institute of Marine Science, Gloucester 

Point, VA 23062 
APLIN, J. A., RR 4, Box 268W, Newport, NC 28570 
APPELDOORN, Dr. Richard, Dept. of Marine Sciences, Univ. of 

Puerto Rico, Mayaguez, PR 00708 
APTS, Charles W.. Battelle Marine Research Lab., 439 West Sequim 

Bay Rd., Sequim, WA 98382 
ARAKAWA, Dr. Kohman Y.. Fishery Section/Hiroshima Prefectural 

Government, 10-52 Moto-machi, Hiroshima 730. Japan 
ARMSTRONG, Dr. David, School of Fisheries WH-10, Univ. of 

Washington, Seattle, WA 98195 
ARNOLD, Bill, Harbor Branch Inst. Inc.. RR No. 1, Box 196A, 

Fort Pierce, FL 33450 
ARY, Roy D.. Dept. of Biological Science, Univ. of New Orleans, 

Lakefront, New Orleans, LA 70148 
AUSTER, Peter, National Undersea Research Program, Univ. of 

Connecticut, Groton, CT 06340 

BACON, Dr. G. B., Research & Productivity Council, Box 6000, 

Fredericton, New Brunswick. Canada E3B 5H1 
BAGLIN, Raymond E., P.O. Box 2969, Kodiak, AK 99615 
BAQUEIRO, Erik, Apartado Postal 46B, La Paz, Baja California, 

Mexico 
BARBER, Bruce J., Dept. of Marine Science, Univ. of South Florida, 

140 7th Ave., St. Petersburg, FL 33701 
BARCELLOS, Lauro, Museu Oceanografico, P.O. Box 379, Rio 

Grande 96200 R.S., Brasil 
BARRY, Steven T., Washington Dept. of Fisheries, 331 State High- 
way 12, Montesano, WA 98563 
BASS, Ann E„ 94 Neal Street, Portland, ME 04102 
BAYER, Dr. Robert, Dept. of Animal Vet. Science/Hitchner Hall, 

Univ. of Maine, Orono, ME 04469 
BEAL, Brian F., Univ. of Maine at Orono. Cooperative Extension 

Service, 5 Cooper St., Machias, ME 04654 
BEATTIE, J. Harold, National Marine Fisheries Service Aquaculture 

Station, P.O. Box 38, Manchester, WA 98353 
BENNETT, Dr. Joseph T., Dept. of Chemistry, Bowdoin College, 

Brunswick, ME 04011 
BENNETT, Leonard, R & B Oyster, Inc., Box 321. Bay Center, 

WA 98527 



BERR1GAN, Mark E., Dept. of Nat. Resources. 3900 Commonwealth 

Blvd., Tallahassee, FL 32303 
B1LGER, Michael D., 42 Walnut St., Shrewsbury, MA 01545 
BILLINGTON, Mark Alan, Box 1327, Friday Harbor, WA 98250 
BIRD, Dennis J., 100 Florida St., Apt. 10, Boston, MA 02124 
BLACKWELL, Alex H. McCormick, Mamammam Marine Farm Ltd., 

Ross House, Newport, County Mayo, Ireland 
BLAKE, Dr. John, 23 Cross Ridge Rd., Chappaqua, NY 10514 
BLAKE, Dr. Norman J., Univ. of South Florida, 140 7th Ave., 

St. Petersburg, FL 33701 
BLANCHARD, Jean-Andre, Ministre des Peches, P.O. Box 488, 

Caraquet, New Brunswick, Canada E0B 1K0 
BLOGOSLAWSKI, Dr. Walter, National Marine Fisheries Service, 

Northeast Fisheries Center, Milford Lab., Milford, CT 06460 
BLUNDON, Jay A., Dept. of Zoology, Univ. of Maryland, College 

Park, MD 20742 
BOBO, Mildred Yvonne, South Carolina Marine Resources Research 

Institute, P.O. Box 12559, Charleston, SC 29412 
BOGHEN, Dr. Andrew, Dept. of Biology, Universite de Moncton, 

Moncton, New Brunswick, Canada F 1 A 3E9 
BONDI, Dr. Kenneth. 14 Jordon Cove Circle, Waterford, CT 06385 
BORRERO, Francisco J., Dept. of Biology, Univ. of South Carolina, 

Columbia, SC 29208 
BOTTON, Mark L., EXCEL Div., Fordham Univ., Collegeof Lincoln 

Center, New York, NY 10023 
BOUCHET, Phillippe, Museum National d'Histoire Natuelle 

Malacologie, 55, Rue de Buffon, 757005 Paris, France 
BOURNE, Dr. Neil, Pacific Biological Station, P.O. Box 100. 

Nanaimo. British Columbia. Canada V9R 5K6 
BRAILSFORD, Paul, Brailsford Associates, 2 Central Street, 

Ipswich, MA 01938 
BREBER, Paulo, COSPAV, CP. 101, 30015 Chioggia (Venezia) Italia 
BREESE, Prof. Wilbur P., Marine Science Center, Marine Science Dr., 

Newport, OR 97365 
BRICELJ, V. Monica. Marine Science Research Center, South 

Campus Bldg. 6, SUNY-Stony Brook, Stony Brook, NY 11794 
BRIGHT, Thomas J., Dept. of Oceanography. Texas A&M Univ., 

College Station, TX 77843 
BRITTON, Dr. Joe C, Dept. of Biology, Texas Christian Univ., 

Fort Worth, TX 76129 
BROUSSEAU, Dr. Diane J.. Dept. of Biology, Fairfield Univ., 

Fairfield, CT 06430 
BROWN, Dr. Carolyn, National Marine Fisheries Service, Milford 

Lab, Milford, CT 06460 
BROWN, Bradford E.. National Marine Fisheries Service, Southeast 

Fisheries Center, 75 Virginia Beach Dr.. Miami, FL 33149 
BROWN, Jim, Dept. of Biological Sciences, Simon Fraser Univ., 

Burnaby, British Columbia, Canada V5A 1S6 
BUCKNER, Stuart C, Town of Islip, Environmental Management 

Div., 577 Main Street, Islip, NY 11751 
BUMGARNER, Richard H., Pt. Whitney Shellfish Lab., 1000 Pt. 

Whitney Rd., Brinnon, WA 98320 
BURCHELL, Edward V., Internet, Inc., 2730 Nevada Ave. N., 

Minneapolis, MN 55427 
BUROKER, Dr. Norman E., Oregon Health Sciences Univ. - Dept. 

of Biochemistry, 3181 SW Jackson Park Rd.. Portland, 

OR 97201 



207 



208 



Membership List - National Shellfisheries association 



BURRELL, Dr. Victor G., South Carolina Marine Resources 

Research Institute, P.O. Box 12559, Charleston, SC 29412 
*BUTLER, Dr. Philip, 106 Matamoros Dr., Gulf Breeze, FL 32561 

CAKE, Dr. Edwin W., Jr., Head, Oyster Biology Section, Gulf 

Coast Research Laboratory, East Beach Dr., Ocean Springs, 

MS 39564 
CALABRESE, Dr. Anthony, National Marine Fisheries Service, 

Milford Lab, Milford, CT 06460 
CAMPBELL, Alan, Biological Station, St. Andrews, New Brunswick, 

Canada EOG 2X0 
CANZONIER, Walter, 44 Cowart Ave., Manasquan, NJ 08736 
CARPENTER, Kirby A., Potomac River Fisheries Commission, 

P.O. Box 9, Colonial Beach, VA 22443 
*CARRIKER, Dr. Melbourne R.. College of Marine Studies, Univ. 

of Delaware, Lewes, DE 19958 
CARROLL, William, 509 Bay Dr., Stevensville, MD 21666 
CARTER, John A., Martec Ltd., 5670 Spring Garden Rd., Halifax, 

Nova Scotia, Canada B3J 1H6 
CASTAGNA, Michael, Virginia Institute of Marine Science, 

Wachapreague, VA 23480 
CASTELL, Dr. John, Department of Fisheries and Oceans, Halifax 

Lab, P.O. Box 550, Halifax, Nova Scotia, Canada B3J 2S7 
CASTILLO, Silvana, 3 Ave. 12-76. Zona 14, Guatemala City. 

Guatemala 
CHAISSON, David R., 73 Merrimac Rd., Dartmouth, Nova Scotia, 

Canada B2W4W7 
CHANLEY, Paul E., P.O. Box 12. Grant, FL 32949 
CHATRY, Mark F., Louisiana Dept. of Wildlife & Fisheries, P.O. 

Box 37, Grand Isle, LA 70358 
CHEN, Ms. Tzyy-Ing, Tungkang Marine Laboratory, Tungkang, 

Pingtung, Taiwan 916, Republic of China 
*CHESTNUT, Dr. A. F., Institute of Marine Science, Univ. of North 

Carolina, Morehead City, NC 28557 
CHESTNUT, Dr. A. P.. Biology Dept., Belhaven College. 1500 

Peachtree St., Jackson, MS 39202 
CHEW, Dr. Kenneth, Div. of Aquaculture and Invertebrate Fisheries, 

School of Fisheries, Univ. of Washington, Seattle, WA 98195 
CHU, Fu Lin E., Virginia Institute of Marine Science, Gloucester 

Point, VA 23062 
CLARK, Stephen H., National Marine Fisheries Service, Northeast 

Fisheries Center, Woods Hole. MA 02543 
CLAYTON, W. E. Lome, Marine Resources Branch, Ministry of 

Environment, Parliament Buildings, Victoria, British Columbia. 

Canada V8V 1X5 
COFFEY, Thomas J., Edgerton Research Lab, New England 

Aquarium, Central Wharf, Boston, MA 02110 
COLBY, Jean P., 73 Eagle's Nest Rd., Duxbury, MA 02332 
COLE, Dr. Timothy J., Horn Point Environmental Lab., Univ. of 

Maryland, P.O. Box 775, Cambridge, MD 21613 
COLWELL, Dr. R R.. Microbiology Dept., Univ. of Maryland, 

College Park, MD 20742 
COMMITO, Dr. John, Dept. of Biology, Hood College, Frederick, 

MD 21701 
CONTE, Dr. Fred S., Aquaculture Extension, Univ. of California. 

Davis, CA 95616 
CONYERS, James C, Environmental Affairs Group, Potomac 

Electric Power Co.. 1900 Pennsylvania Ave. N.W., Washington, 

DC 20068 
COON, Steven L., Dept. of Zoology, Univ. of Maryland, College 

Park, MD 20742 
COOPER, Dr. Keith R., School of Pharmacology/Toxicology, 

Rutgers Univ., Piscataway, NJ 08854 
CORMIER, Paul. 690 Blvd. St. Pierre Quest, Caraquet, New Bruns- 
wick, Canada E0B 1K0 



COSTA-PIERCE, Barry A., Dept. of Oceanography, Univ. of Hawaii, 

Honolulu, HI 96822 
COSTLOW, Dr. John D., Duke Univ. Marine Lab. Beaufort, NC 285 16 
COVICH, Alan P.. Zoology Dept., 202 Sutton Hall, Univ. of 

Oklahoma, Norman, OK 73019 
COX, Keith W., 309 Hillside Dr., Woodside, CA 94062 
COX, Robert K.,450 KynastonRd.. RR 3, Victoria, British Columbia. 

Canada V8X 3X1 
CRAIG, Allison, Dept. of Oceanography, Texas A&M Univ., College 

Station, TX 77843 
CRANCE, Johnie H., U.S. Fish & Wildlife Service, 2625 Redwing 

Rd., Ft. Collins, CO 80526 
CRAWFORD, Maurice, P.O. Box 286, Woods Hole, MA 02543 
CREEKMAN, Laura L., P.O. Box 567, Ilwaco, WA 98624 
CRESWELL, R. LeRoy, Center for Marine Biotechnology, Harbor 

Branch Institution, Ft Pierce, FL 33450 
*CRISP, Dr. Dennis, University College, North Wales, Menai Bridge, 

Anglesey, UK 
CROCKETT, Lee R., Marine Sciences Institute, Univ. of Connecticut, 

Groton, CT 06340 
CROSBY, Michael P., Univ. of Maryland, Horn Point Laboratories, 

P.O. Box 775, Cambridge, MD 21613 
CROWE, Arthur L., Texas Parks & Wildlife Dept., 204 Travis, 

Port Lavaca, TX 77979 
CUDD, Sue, 2809 165th Place NE, BeUevue, WA 98008 
CUMMINS, Joseph M., 4701 W. Maple Lane Circle NW, Gig Harbor, 

WA 98335 
CUOMO, M. Carmela, Marine Sciences Research Center, State Univ. 

of New York, Stony Brook, NY 11794 
CUPKA, David M., South Carolina Marine Resource Institute, 

P.O. Box 12559, Charleston, SC 29412 

DAME, Dr. Richard, Univ. of South Carolina -Coastal Carolina 

College, P.O. Box 1954, Conway, SC 29526 
DA VIES, Dennis R., ITT Rayonier, Inc.. P.O. Box 299, Hoquiam, 

WA 98550 
DAVIS, Harold A., Rte. 1. Princess Anne, MD 21853 
DAVIS, John D., P.O. Box 156, 25 Old Homestead Rd., Westford, 

MA 01886 
DAVIS, Jonathan, School of Fisheries VVH-10, Univ. of Washington, 

Seattle, WA 98195 
DAVIS, Megan, 7600 S.W. 87th Ave., Miami, FL 33173 
DAVY, Dr. F. Brian, International Develop. Research Center, 

Tjanglin. P.O. Box 101, Singapore 9124 
DA WE, Earl G., Dept. of Fish & Oceans, NWAFC, P.O. Box 5667, 

St. John's, Newfoundland, Canada A1C 5X1 
DAY, Elizabeth Anne, 109-C Thornwell Court, Columbia, SC 29205 
DEAN, Dr. David, Box 28, Clarks Cove Rd., Walpole, ME 04573 
DeFREESE, Duane E., 933 Waialae Circle NE, Palm Bay, FL 32905 
DEMORY, Darrell, Oregon Dept. of Fish and Wildlife, Marine 

Science Dr., Newport, OR 97365 
deQUILLFELDT, Charles, Marine Sciences Research Center, State 

Univ. of New York, Stony Brook, NY 11794 
DeVOE, M. Richard, South Carolina Sea Grant Consortium, 221 

Fort Jackson Rd., Charleston, SC 29412 
DEY, Noel Dean, College of Marine Studies. Univ. of Delaware, 

Lewes, DE 19958 
DiCOSIMO, Jane, Virginia Institute of Marine Science, Gloucester 

Point, VA 23062 
DINNEL, Dr. Paul A., Univ. of Washington, Fisheries Research 

Institute WH-10, Seattle, WA 98195 
DiSALVO, Louis H., Casilla 480, Coquimbo, Chile 
DONALDSON, James D., P.O. Box 583, Quilcene, WA 98376 
DOWGERT, Martin P., U.S. Food & Drug Admin., 585 Commercial 

St., Boon, MA 02108 



Membership List - National Shellfisheries association 



209 



DOWN, Dr. Russel J., Oysterrific. P.O. Box 156, Cape May Court 

House, NJ 08210 
DOWNING, Sandra L., 1635 33rd Ave., Seattle, WA 98122 
DRAZBA, Lawrence, 405 N. Lincoln, Orange. CA 92666 
DREDGE, M.. Fisheries Laboratory. Burnett Heads, 4670, 

Queensland, Australia 
DRESSEL, David, NOAA. National Marine Fisheries Service, 

3300 Whitehaven St., NW, Washington. DC 20235 
DRINKWAARD, Dr. A. C, Molluscan Shellfish Department, 

Julianastraat 18. P.O. Box 135, 1790 AC DenBurg-Texel. The 

Netherlands 
DRUCKER, Denson, 11667 Newbridge Ct„ Reston, VA 22091 
DRURY, Paul E.. 8527 Jennifer No. 5. Juneau, AK 99801 
DUBE, Paul.. Marine Sciences Research Center, State Univ. of 

New York, Stony Brook, NY 11794 
DUGAS, Charles N., 662 E. Perrault St.. Opelousas, LA 705 70 
DUGAS, Ronald J.. St. Amant Marine Lab.. Louisiana Dept. of 

Wildlife & Fisheries. P.O. Box 37. Grand Isle, LA 70358 
DUKE, Dr. Thomas W., U.S. Environmental Protection Agency 

Lab., Sabine Island. Gulf Breeze. FL 32561 
DUNCAN, Dr. Patricia. College of William & Mary. Virginia Institute 

of Marine Science, Gloucester Point, VA 23062 
DUNNINGTON, Elgin, Chesapeake Biological Lab., Box 523, 

Solomons, MD 20688 
DURFEE, Dr. Wayne K„ 44 Bridgetown Rd„ Sunderston, RI 02874 

EATON, Jonathan F., 4- A Gleason St., Thomaston, ME 04861 
EBERT, Earl E.. California Dept. of Fish and Game, Granite Canyon 

Coast Route, Monterey, CA 93940 
EBLE, Dr. Albert F., R.D. No. 6. Box 345-B, Flemington, NJ 08822 
ECKMAYER, William J., Alabama Dept. of Conservation and 

Natural Resources, Marine Resources Div., P.O. Box 189, 

Dauphin Island, AL 365 28 
EDWARDS, Dr. D. Craig, Univ. of Massachusetts, Zoology Dept., 

Amherst, MA 01003 
EDWARDS, Sarah B., Pine Lane, Barstable, MA 02630 
EINOLF, David M., 1817 W. Call St., Apt. F-8, Tallahassee, FL 23204 
EISELE, William J., New Jersey Div. of Water Resources, Leeds 

Point Field Office, Star Rte., Abescon, NJ 08201 
EISLER, Dr. Ronald, U.S. Fish & Wildlife Service, Patuxent Wildlife 

Research Center, Laurel, MD 20708 
ELDRIDGE, Peter J., 761 Stiles Dr., Charleston. SC 29412 
ELLIFRIT, N. J., 16217 NE 22nd Ave., Ridgefield, WA 98642 
ELLIOT, Elisa L., Dept. of Microbiology, Univ. of Maryland, 

College Park, MD 20742 
ELLIS, Dr. Derek, Biology Dept., Univ. of Victoria, Victoria, 

British Columbia, Canada V8W 2Y2 
ELNER, Dr. Robert W., Fisheries & Oceans, Biological Station. 

St. Andrews, New Brunswick, Canada E0G 2X0 
ELSKUS, Adria A.. School of Oceanography, Univ. of Rhode Island, 

Kingston, RI 02881 
ELSTON, Dr. Ralph, Battelle Marine Research Lab.. 439 Sequim 

Rav Rd.. Sequim, WA 98382 
EMERY, Ann, 3421 Shepherd St., Chevy Chase, MD 20815 
ENRIGHT, Dr. Catherine. Ketch Harbour, Halifax County, Nova 

Scotia, Canada B0J 1X0 
EPP, Jennifer. Marine Sciences Research Center, State Univ. of 

New York, Stony Brook, New York 11794 
ERICKSON, Jeffery T.. Univ. of Miami, Rosenstiel School of 

Marine and Atmospheric Science, Div. of Biological and Living 

Resources, 4600 Rickenbacker Causeway, Miami. FL 33149 
EVANS, Camille, P.O. Box 731. Quilcene, WA 98376 
EVERSOLE, Dr. Arnold B., Dept. of Aquaculture. Fisheries & 

Wildlife, 310 Long Hall, Clemson Univ., Clemson, SC 29631 
EWALD, Joseph Jay. Apartado 1198, Maracaibo, Venezuela 



FEDER, Dr. Howard, Institute of Marine Science. Univ. of Alaska, 

Fairbanks, AK 99701 
FENG, Dr. SungY.. Marine Sciences Institute, Univ. of Connecticut, 

Groton, CT 06340 
FERGUSON, Ernest, P.O. Box 488, Caraquet, New Brunswick, 

Canada E0B 1K0 
FERNANDEZ, Gustavo E., College of Marine Studies, Univ. of 

Delaware, 700 Pilottown Rd., Lewes, DE 19958 
FISHER, William S., Univ. of Maryland, Horn Point Laboratories, 

P.O. Box 775, Cambridge, MD 21613 
FITZGERALD, Lisa M.. Univ. of Miami, Rosenstiel School of 

Marine and Atmospheric Science. Div. of Biological and Living 

Resources, 4600 Rickenbacker Causeway, Miami. FL 33149 
FLAGG, Paul J., 31 Kings Point Rd., East Hampton, NY 11937 
FLICK, Dr. George J.. Food Science & Technology Dept., Virginia 

Polytechnic Inst.. Blacksburg. VA 24061 
♦FLOWER, H. Butler, F. M. Flower & Sons, P.O. Box 1436, Bayville, 

NY 11709 
FOLLET, Jill E.. Alaska Dept. of Fish and Game, 333 Raspberry 

Rd., Anchorage, AK 99502 
FOLTZ, David W., Dept. of Zoology & Physiology, Louisiana State 

Univ., Baton Rouge, LA 70803 
FORBES, Dr. Milton, College of the Virgin Islands, P.O. Box 206, 

Kingshill, St. Croix, VI 00850 
FORD, Dr. Susan E., Rutgers Univ. Center Research Lab., Box 587, 

Port Norris, NJ 08349 
FOSTER, Walter S., P.O. Box 637. Hatchet Cove. Friendship, ME 

04547 
FOX, Richard, New York Dept. of Environmental Conservation, 

Bldg. 40, State Univ. of New York, Stony Brook, NY 11794 
FREEMAN, Dr. John A., Dept. of Biology. Univ. of South Alabama, 

Mobile, AL 36688 
FRITZ, Lowell W., Rutgers Univ. Oyster Research Lab., P.O. Box 

587, Port Norris, NJ 08349 
FRULAND, Robert M., 7128 South Shore Dr., South Pasadena, FL 

33707 
FULLER, Sue Cynthia, Dept. of Zoology, Rutgers Univ., Box 1059, 

Piscataway, NJ 08854 
FYFE, David A., 155-7072 Inlet Dr.. Burnaby. British Columbia. 

Canada V5A 1C2 

GAFFNEY, Patrick M., Dept. of Ecology and Evolution, State 

Univ. of New York, Stony Brook, NY 1 1 794 
GAILEY, Matthew D., Juniper Point Sea Farms, 3 Juniper Point Rd., 

Branford, CT 06405 
GALLAGER, Scott M., Woods Hole Oceanographic Institution, 

Woods Hole, MA 02543 
GALLANT, W. E., Snow Food Products, P.O. Box F. Old Orchard 

Beach, ME 04064 
GANGMARK, Carolyn E., P.O. Box 549, Manchester, WA 98353 
GAREY, John F., 65 Olde Knoll Rd., Marion. MA 02738 
CARLO, Elizabeth V, Battelle Research Laboratory, P.O. Drawer 

AH. Dux bury. MA 02332 
GARREIS, Mary Jo, 129 Severn Way, Arnold, MD 21012 
GATES, Keith W.. Univ. of Georgia Marine Extension Service, 

P.O. Box Z, Brunswick. GA 31521 
GEOGHEGAN, Paul, 28 Williams St.. Salem, MA 01970 
GEORGE, Keith, Agridex Ltd.. 47 Mowbray Rd., Northallerton. 

North Yorkshire. England DL6 1QT 
GERRIOR, Patricia. National Marine Fisheries Service, Emerson 

Ave., Gloucester, MA 01930 
GIBBONS, Dr. Mary C, College of William & Mary, Virginia Institute 

of Marine Science. Wachapreague, VA 23480 
GIBSON, Dr. Charles I., Battelle Memorial Institute, 505 King Ave., 

Columbus, OH 43201 



210 



Membership List - National Shellfisheries Association 



GLENN, Dr. Richard D., 1704 Gotham St., Chula Vista, CA 92010 
*GLUDE, John B., 2703 W. McGraw St., Seattle, WA 98199 
GOLDBERG, Ronald, National Marine Fisheries Service. Milford 

Lab., Milford, CT 06460 
GOOD, Lorna, 128 Hitchner Hall, Univ. of Maine, Orono, ME 04469 
GOODGER, Timothy E., National Marine Fisheries Service, Oxford 

Lab., Oxford, MD 21654 
GOODSELL, Joy G., Rutgers Univ., Shellfish Research Lab., Box 

587, Port Norris, NJ 08349 
GOODWIN, Lynn, Pt. Whitney Shellfish Lab., 1000 Pt. Whitney Rd.. 

Brinnon, WA 98320 
GOULD, Edith, National Marine Fisheries Service, Milford Lab., 

212 Rogers Ave., Milford, CT 06460 
GRAY, C. Scott, 411 Liberty St., Santa Cruz, CA 95060 
GREEN, William C, 64 Leetes Island Rd., Guilford, CT 06437 
GREENE, Gregory T., 123 Bay Ave., Bayport, NY 11705 
GRIM, John S., Northeastern Biological, Inc., Kerr Rd., RD 3, 

Rhinebeck, NY 12572 
GRISCHKOWSKY, Dr. Roger S., Alaska Dept. of Fish and Game, 

333 Raspberry Rd., Anchorage, AK 99502 
GRUBER, Gregory L„ Dept. of Health & Hygiene, Office of 

Environ. Programs, 415 Chinquapin Round Rd., Annapolis, MD 

21401 
GRUBLE, Edward J., 8622 Fauntlee Crest SW, Seattle, WA 98136 
*GUNTER, Dr. Gordon, Director Emeritus, Gulf Coast Research Lab., 

Ocean Springs, MS 39564 
GUSSMAN, David S., Virginia Institute of Marine Science, College 

of William & Mary, Gloucester Point, VA 23062 

HADLEY, Nancy H., 1214 Grimsley Dr., Charleston, SC 29412 
HALLDORSON, Dori. Coast Oyster Co., Box 166, South Bend, 

WA 98586 
HAMM, Gerald L., 10563 NW 2nd Court, Plantation, FL 33324 
HAMMERSCHMIDT, Paul C, 1821 Algee, Port Lavaca, TX 77979 
HAMMERSTROM, Richard J., 2901 Shamerock South, Tallahassee, 

FL 32308 
HANKS, Dr. James E., P.O. Box 253, Milford, CT 06460 
HARGIS, Dr. William J., Jr., Virginia Institute of Marine Science, 

College of William and Mary, Gloucester Point, VA 23062 
HARRIS, Robert E., Virginia Institute of Marine Science-Jefferson 

Hall, College of William and Mary, Gloucester Point, VA 23062 
HARTSELL, James A., 15 Chester St., Apt. 1, New London, CT 

06320 
HARTWICK, Dr. Brian, Dept. of Biological Science, Simon Fraser 

Univ., Burnaby, British Columbia, Canada V5A 1S6 
HASELTINE, Arthur W., Marine Culture Lab.. Granite Canyon, 

Coast Route, Monterey, CA 93940 
*HASKIN, Dr. Harold H., Dept. of Oyster Culture, Rutgers Univ., 

P.O. Box 1059, Piscataway, NJ 08854 
HAVEN, Dexter S., Virginia Institute of Marine Science, College of 

William and Mary, Gloucester Point, VA 23062 
HAXBY, Richard E., c/o Morton Bahamas Ltd., Matthewtown, 

Inagua, Bahamas 
HAYDEN, Barbara J., Fisheries Research Div., P.O. Box 297, 

Wellington. New Zealand 
HEARD, Dr. Richard, P.O. Box 878. Ocean Springs, MS 39564 
HEIDEMAN, Robert. P.O. Box 1446, Apopka, FL 32704 
HEINEN, Dr. John M., Dept. of Wildlife and Fisheries, P.O. Drawer 

LW, Mississippi State, MS 39762 
HELM, Nancy E., Marine Sciences Research Center, State Univ. of 

New York, Stony Brook, NY 1 1794 
HENDERSON, Bruce Alan, Marine Sciences Center, Oregon State 

Univ., Newport, OR 97365 
HENSEN, Roberto, Fonds Caracopreoject, P.O. Box 43, Bonaire, 

Netherlands Antilles 



HEPWORTH, Daniel A., Rt. 3, Box 135, Hayes, VA 23072 
HERITAGE, G. Dwight, Pacific Biological Station, Nanaimo, 

British Columbia, Canada V9R 5K6 
HERRMANN, Robert B., 101 King St., New Bern, NC 28560 
HERSHBERGER, Dr. William K., School of Fisheries WH-10. 

Univ. of Washington, Seattle, WA 98195 
HICKEY, John M., Massachusetts Div. of Marine Fisheries, 449 

Route 6Ah, East Sandwich, MA 02537 
HICKEY, Mary T., 4415 Independence St., Rockville, MD 20853 
HIDU, Dr. Herbert, Ira C. Darling Center, Univ. of Maine, Walpole, 

ME 04573 
HILLMAN, Dr. Robert E., Battelle New England Marine Research 

Laboratory, Washington St., Duxbury, MA 02332 
HIRSCHBERGER, Wendy, 5832 NE 75th. No. 205. Seattle. WA 

98115 
HOCHHEIMER, John N., Marine Advisory Program, Univ. of 

Maryland, CEES, P.O. Box 775, Cambridge, MD 21613 
HOENIG, John M., Minnesota Dept. of Natural Resources, Box 25, 

Centennial Office Bldg., St. Paul, MN 55 155 
HOESE, Dr. H. Dickson, Dept. of Biology. Univ. of Southwestern 

Louisiana, Lafayette, LA 70501 
HOFSTETTER, Robert P.. Rt. 1,4831 Elm St., Seabrook, TX 77586 
HOLMES, Patrick B., P.O. Box 2651, Kodiak, AK 99615 
HOOPER, Craig, 214 Meadowlook Way, Boulder, CO 80302 
*HOPKINS, Dr. Sewell H., Biology Dept., Texas A&M Univ.. College 

Station, TX 77843 
HOPKINS, Steve, WaddeU Mariculture Center, P.O. Box 809, 

Bluffton. SC 29910 
HORTON, Dr. Howard F., Fisheries & Wildlife Dept., Oregon 

State Univ., Corvallis, OR 97331 
HOUGHTON, Jonathan, Dames and Moore, 155 NE 100th, Seattle, 

WA 98125 
HOUK, James L., California Dept. of Fish and Game, Marine Culture 

Lab., Granite Canyon Coast Route, Monterey, CA 93940 
HOWELL, Robert. Dept. of Biology, Conradi Bldg.. Florida State 

Univ., Tallahassee, FL 32306 
HOWSE, Dr. Harold D., Gulf Coast Research Laboratory, Ocean 

Springs, MS 39564 
HRUBY, Thomas, RCA, 159 Main St., Gloucester, MA 01930 
HRUSE, Michael W., RD 1. Box 165, Fire Lane, Vincentown, NJ 

08088 
HUBER, L. Albertson, Back Neck Rd., Rte. 4, Bridgeton, NJ 08302 
HUGUENIN, John E., 49 Oyster Pond Rd., Falmouth, MA 02540 
HUMPHREY, Celeste, Dalton Junior College, Dalton, GA 30720 
HUNER, Dr. Jay V., 1144 Rue Crozat, Baton Rouge, LA 70810 
HUTCHISON, F. M., P.O. Box 281, Cayucos, CA 93430 

IBARRA, Ana Maria, Dept. of Fisheries and Wildlife. Oregon State 

Univ., Corvallis, OR 97331 
INCZE, Dr. Lewis S., NWAFC/RACE Div., 7600 Sand Pt. Way, NE, 

BIN C15700, Seattle, WA 981 12 
INGLE, Donna M., Rt. 16, Box 9034, Tallahassee, FL 32304 
INGLE, Robert M. 173 Avenue B, Apalachicola, FL 32320 
IVERSEN, Dr. Edwin S., Univ. of Miami, Rosenstiel School of 

Marine and Atmospheric Science, Div. of Biological and Living 

Resources, 4600 Rickenbacker Causeway, Miami. FL 33149 

JEFFERDS, Peter, Penn Cove Mussels, Inc., P.O. Box 148, Coupe- 

ville, WA 98239 
JENNINGS, Charles R.. P.O. Box 5620, Berkeley, CA 94705 
JEWELL, Dr. Sheila Stiles, National Marine Fisheries Service, 

Milford Lab., 212 Rogers Ave., Milford, CT 06460 
JEWETT, Stephen, Institute of Marine Science. Univ. of Alaska, 

Fairbanks, AK 99701 
JOHNSON, Scott, 5736 CessnaAve., Apt. W,FridayHarbor,WA98250 



Membership List - National Shellfisheries association 



211 



JONES, Gordon B., Skerry Bay, Lasqueti Island, British Columbia, 
Canada VOR 2J0 

JONES, Dr. Douglas S., Dept. of Geology, Univ. of Florida, Gaines- 
ville, FL 32611 

JORY, Darryl E., Univ. of Mainii, Rosenstiel School of Marine and 
Atmospheric Science, Div. of Biological and Living Resources, 
4600 Rickenbacker Causeway, Miami. FL 33149 

JOYCE, Edwin A.. Jr.. 14130 N. Meridian Rd., Tallahassee, FL 32312 

JUDSON, Irwin, P.O. Box 2000, Charlottetown, Prince Edward 
Island, Canada CIA 7N8 

KAMENS, Todd C, College of Marine Studies, Univ. of Delaware, 

700 Pilottown Rd., Lewes. DE 19958 
KANE, Dr. Bernard, Dept. of Environmental Health, East Carolina 

Univ., Greenville, NC 27834 
KARINEN, John F„ Auke Bay Biological Lab., P.O. Box 210155, 

Auke Bay, AK 99821 
KARNEY, Richard C, Box 1552, Oak Bluffs, MA 02557 
KASSNER, Jeffrey, 28 Penn Commons, Shiiley, NY 11967 
KEAN, Joan, Fisheries and Oceans. 1707 Lower Water St.. Halifax, 

Nova Scotia, Canada B3J 2S7 
KEITH, W. J., South Carolina Marine Resources Research Institute, 

P.O. Box 12559, Charleston, SC 29412 
KELLER, Thomas E., Box 285, RR No. 1, Edgecomb, ME 04556 
KELP1N, Geraldine, 329 East State St., Long Beach. NY 11561 
KENNEDY, Dr. Victor S., Horn Point Environmental Lab., Box 775, 

Cambridge, MD 21613 
KENNISH, Dr. Michael J., GPU Nuclear, Oyster Creek Nuclear 

Station, P.O. Box 388, Forked River, NJ 08731 
KENSLER, Dr. Craig B., UNESCO Marine Science Project (UNDP 

POUCH, Rangoon, Burma), UNDP/One United Nations Plaza, 

New York, NY 10017 
KILGEN, Marilyn B., Dept. of Biological Sciences, Nicholls State 

Univ., Thibodaux, LA 70310 
KILGEN, Dr. Ronald H., Dept. of Biological Sciences, Nicholls 

State Univ., Thibodaux, LA 70310 
KLINE, Thomas C, School of Fisheries WH-10, Shellfish Unit, 

Univ. of Washington, Seattle, WA 98195 
KNAUB, Richard S., Dept. of Aquaculture, Fisheries and Wildlife, 

Clemson Univ., Clemson, SC 29631 
KOGANEZAWA,Akimitsu, Aquaculture Div., Tohoku Reg. Research 

Lab., 3-27-5, Shinhamacho, Shiogama, Miyagi-Ken 985 Japan 
KOPPELMAN, Lee E., Long Island Regional Planning Board, 

Veterans Memorial Highway, Happauge, NY 11788 
KRAEUTER, Dr. John N., Baltimore Gas & Electric Co., Crane 

Aquaculture, P.O. Box 1475, Baltimore, MD 21203 
KRANTZ, David E., Marine Science Program, Univ. of South 

Carolina, Columbia. SC 29208 
KRAUS, Richard A., Aquaculture Research Corp., P.O. Box AC, 

Dennis, MA 02638 
KRYGSMAN, Adrian, 35 Madeline Ave., Clifton, NJ 0701 1 
KUNKLE, Donald E„ Rutgers Univ. Oyster Research Lab., P.O. 

Box 587, Port Norris, NJ 08349 
KURKOWSK1, Kenneth P., 234 Fenimore Ave., Uniondale. NY 

11553 
KUTRUBES, Leo P., National Labs, 114 Waltham St., Lexington, 

MA 02173 
KYTE, Michael A., 527 212th St., SW, Bothell. WA 98021 

LANDRUM, Michael R., 902 S.E. Belfast Ave., Port St. Lucie, 

FL 33452 
LANGDON, Dr. Chris, College of Marine Studies. Univ. of Delaware. 

Lewes, DE 19958 
LANGE, Anne M. T., National Marine Fisheries Service, Northeast 

Fisheries Center, Woods Hole, MA 02543 



LANGTON, Richard W., Marine Research Lab., Dept. of Marine 

Resources, West Boothbay Harbor, ME 04575 
LAVOIE, Dr. Rene E., Dept. of Environment, Fisheries Service, 

P.O. Box 550, Halifax, Nova Scotia, Canada B3J 2R3 
LAWDER, HanyC.,512 8th Street, Port St. Joe, FL 32456 
LAWTON, Peter, Dept. of Fisheries & Oceans, Biological Station, 

St. Andrews, New Brunswick, Canada E0G 2X0 
LEARY, Terrance R., Gulf of Mexico Fisheries Management Council, 

5401 W. Kennedy, Suite 881, Tampa, FL 33609 
LEIB, Susanne, Florida Institute of Technology, Box 339, Jensen 

Beach, FL 3345 7 
LE1BOVITZ, Dr. Louis, Director, Laboratory for Marine Animal 

Health, Marine Biological Laboratory. Woods Hole, MA 02543 
LESLIE, Mark D., 5 Deborah St.. Waterford, CT 06385 
s LINDSAY, Cedric E., 560 Pt. Whitney Rd.. Brinnon, WA 98320 
LINDSAY, John A., P.O. Box JJ, Durham, NH 03824 
LIPOVSKY, Vance P., P.O. Box 635, Ocean Park, WA 98640 
LITTLE, Edward J., Florida Dept. of Natural Resources, P.O. Box 

404, Key West, FL 33040 
LIVINGSTON, Dr. Robert J., Dept. of Biological Science, Florida 

State Univ., Tallahassee, FL 32306 
LOCKWOOD, George S., Monterey Abalone Farms, 300 Cannery 

Row, Monterey, CA 93940 
LOGUE, Maureen D., Ira C. Darling Center, Univ. of Maine, 

Walpole, ME 04573 
LOMAX, Dr. Ken, Dept. of Agricultural Engineering. Univ. of 

Delaware, Newark, DE 19711 
*LOOSANOFF, Dr. Victor L., 17 Los Cerros Dr., Greenbrae, CA 

94904 
LORING, Richard H.. Aquacultural Research Corp., P.O. Box AC, 

Dennis, MA 02638 
LOUGH, Dr. Robert G., National Marine Fisheries Service, North- 
east Fisheries Center, Woods Hole, MA 02543 
LOVELAND, Robert E., Dept. of Zoology, Rutgers Univ., P.O. Box 

1059, Piscataway, NJ 08854 
LOWE, Jack I„ Route 2, Box 20, Gulf Freeze, FL 32561 
LUBET, Prof. Pierre, Laboratoire de Zoologie, Universite' de 

Caen 14032. Caen Cedex, France 
LUTZ, Rebecca Ashley, 52 Main St., P.O. Box 215, Bloomsbury, 

NJ 08804 
LUTZ, Dr. Richard A., Oyster Research Laboratory, Rutgers 

Univ., P.O. Box 1059, Piscataway, NJ 08854 

MacDONALD, Dr. Bruce, Pacific Biological Station, P.O. Box 100, 

Nanaimo, British Columbia, Canada V9R 5K6 
MacFARLANE, Sandra Libby, Orleans Shellfish Dept., Orleans, 

MA 02653 
MacKENZIE, Clyde L., Sandy Hook Laboratory, Highlands, NJ 

07732 
MacLEOD, Lincoln-Lowell, P.O. Box 700, Pictou, Nova Scotia, 

Canada B0K 1H0 
MAGOON, Charles D., Dept. of Natural Resources, Marine Land 

Management. Olympia, WA 98504 
M ALONE, Ronald F., Dept. of Civil Engineering, Louisiana State 

Univ., Baton Rouge, LA 70803 
MALOUF, Dr. Robert. Marine Sciences Research Center, State 

Univ. of New York, Stony Brook, NY 11794 
MANDRUP-POULSEN, Jan, Dept. of Oceanography, Florida State 

Univ., Tallahassee, FL 32306 
MANN, Dr. Roger, Woods Hole Oceanographic Institution, Woods 

Hole, MA 02543 
MANZI, Dr. John J., Marine Resources Research Institute, P.O. 

Box 12559, Charleston, SC 29412 
MARIS, Robert, P.O. Box 6322, Norfolk, VA 23508 
MARSHALL, Dr. Nelson, P.O. Box 1056, St. Michaels, MD 21663 



212 



Membership list - National Shellfisheries association 



MARSHALL, Howard L., Environmental Protection Agency, 345 

Courtland St., NE, Atlanta, GA 30365 
MARSTON, Claudie L., 33 Nichols Ave., Apt. 3, Newmarket, NH 

03857 
MARTIN, Roy E., National Fisheries Institute, 2000 M St., NW, 

Suite 580, Washington, DC 20036 
MARU, Dr. Kuniyoshi, Hokkaido Institute of Maticulture, Shikabe, 

Hokkaido. 041-14, lapan 
MASON, Katherine. 217 Murray Hall, Univ. of Maine, Orono, ME 

04469 
MAUGLE, Paul D., 323 Graduate Village, Kingston. RI 02881 
MAYER, Marianne, Marine Extension, Univ. of Georgia, P.O. Box 

13687, Savannah, GA 31406 
McBETH, Dr. James W., P.O. Box 1540, Carlsbad, CA 92008 
MCCARTHY, Charles, 2000 Cox Neck Rd., Mattituck, NY 11952 
McCONAUGHA, Dr. John R., Dept. of Oceanography, Old Dominion 

Univ., Norfolk, VA 23508 
McCUMBY, Kristy I., 2590 Lingonberry Lane, Fairbanks, AK 99701 
McEWEN, Laurel A., General Delivery, Nahcotta, WA 98637 
McFADDEN, Murray, 577 W. 28th Ave., Vancouver, British 

Columbia, Canada V5Z 2H2 
McGRAW, Dr. Katherine A, 131 N. 40th, Seattle, WA 98103 
McHUGH, Dr. J. L., Marine Sciences Research Center, State Univ. 

of New York, Stony Brook, NY 1 1 794 
McLAUGHLIN, Dave. Agricultural Engineering Dept., Clem son 

Univ., Clemson, SC 29631 
McMURRER, Kathleen A.. 36 Woodfield Ave., Fort Salonga, NY 

11768 
McTEER, Temple, Waddell Mariculture Center, P.O. Box 809, 

Bluff ton, SC 29910 
*MEDCOF, Dr. J. C, P.O. Box 83, St. Andrews, New Brunswick, 

Canada E0G 2X0 
*MENZEL, Dr. R. Winston. Dept. of Oceanography, Florida State 

Univ., Tallahassee, FL 32306 
MERCALDO. Renee S., National Marine Fisheries Service. Rogers 

Ave., Milford, CT 06460 
MERCER, Dr. J. P.. Shellfish Research Lab., Carna, County Galway. 

Ireland 
MERRILL, Dr. Arthur S., 25 North Front St., Richmond, ME 04357 
MIANMANUS, Ratsuda, Univ. of Miami. Rosenstiel School of 

Marine and Atmospheric Science, Div. of Biological and Living 

Resources, 4600 Rickenbacker Causeway. Miami. FL 33149 
MIDDLETON, Karen Chandler, 175 Abram Hill Rd.. Duxbury, MA 

02332 
MILLER, George C, 16140 S.W. 108th Court, Miami, FL 33157 
MILLER, Mum, Route 1, Bowler, WI 54416 
MILLER, Robert E., P.O. Box 775, Cambridge, MD 21613 
MILLER, R. J., P.O. Box 550, Halifax, Nova Scotia, Canada B3J 2S7 
MILMOE, Gerard F., Box 446, Port Jefferson, NY 11777 
MIX, Dr. Michael C, General Science Dept., Weniger Hall 355, 

Oregon State Univ., Corvallis. OR 97330 
MOORE, M. Mug, Mercenaria Manufacturing, R.D. 1. Box 293-B, 

Millsboro, DE 19966 
MORADO, J. Frank. RACE Div., Bldg. 4, Rm. 2083. 7600 Sand 

Point Way, NE, BIN-C15700, Seattle, WA 98115 
MORGAN, Dr. Bruce H., P.O. Box 8811, Portland, OR 97207 
MORIYASU, Mikio, Marine Biology Research Center, Univ. of 

Moncton, Moncton, New Brunswick, Canada E1A 3E9 
MORRISON, Allan, 95 Scott St., Charlottetown. Prince Edward 

Island, Canada C1E 1A1 
MORRISON, George, Environmental Protection Agency, South 

Ferry Rd., Narragansett, RI 02882 
MORSE, Dr. M. Patricia, Marine Science Institute, Northeastern 

Univ., Nahant, MA 01908 
MOSS, Charles G.. Rt. 2 Armory, Angleton, TX 77515 



MOSS, Shaun, 570 Pilottown Rd., Lewes, DE 19958 

MUISE, Brian, P.O. Box 84, Musquodoboit Harbour, Nova Scotia, 

Canada B0J 2L0 
MULVIHILL, Michael, AREA, P.O. Box 1303, Homestead, FL 33090 
MUNDREN, Fentress, North Carolina Div. of Marine Fisheries, 

P.O. Box 769, Morehead City, NC 2855 7 
MURPHY, Richard C, The Cousteau Society, 8439 Santa Monica 

Blvd., Suite 1 10, Los Angeles, CA 90069 
MURPHY, William A.. P.O. Box 1236, Charlottetown, Prince 

Edward Island, Canada CIA 7M8 
MURRAY, Robert L., 6211 SW 79th St., Miami, FL 33143 
MUSGROVE, Nancy A., College of Fisheries, Univ. of Washington, 

Seattle, WA 98195 

NAKAGAWA, Yoshihiko, Hokkaido Hakodate Fisheries Experiment 

Station, Ynokawa-cho 1-cho 2-66. Hakodate, Hokkaido. Japan 
NAKAL, Alberto, 4223 SW 6th, Miami, FL 33134 
NASSER, Sergio E. Rivera, Apartado Postal 749, Cuidad Obregon, 

Sonora, Mexico 
NEAL.Dr. Richard, c/o Gilbert Neal, Box 623, Shell Rock, I A 50670 
NEIMA, Paul G., Fisheries Resource Dev., Ltd., 192 Joseph Zatzman 

Dr. S., 192, Dartmouth, Nova Scotia, Canada B3B 1N4 
NELSON, Chris, Marine Sciences Research Center, State Univ. of 

New York, Stony Brook, NY 11794 
NELSON, David A.. National Marine Fisheries Service, Milford, 

CT 06460 
"NELSON, J. Richard, 371 Post Rd., Madison, CT 06443 
NEUDECKER, Dr. Thomas. Inst, fur Kusten- und Binnenfischerei; 

Aussenstelle Langballigau, Am Hafen D-2391 Langballig, West 

Germany 
NEWBERG, Douglas, College of Marine Studies, Univ. of Delaware, 

700 Pilottown Rd., Lewes, DE 19958 
NEWELL, Carter R., Maine Shellfish Research and Development, 

RFD 1, Box 149, Damariscotta, ME 04543 
NEWELL, Dr. Roger 1. E.. Horn Point Environmental Lab., Univ. 

of Maryland, P.O. Box 775. Cambridge. MD 21613 
NEWKIRK, Dr. Gary F., Biology Dept.. Dalhousie Univ., Halifax, 

Nova Scotia, Canada B3H 4J1 
NORMAN-BOUDREAU, Karen, Bodega Marine Laboratory, Bodega 

Bay, CA 94923 
NORRIS, Robert M., Potomac River Fisheries Comm., 222 Taylor 

St., Colonial Beach. VA 22443 
NOSHO, Terry Y, 12510 Langston Road, South, Seattle, WA 98178 
NOVOTNY, Anthony, 1919 E. Calhoun, Seattle, WA 98112 



OAKES, Diane R.. Laboratory for Experimental Biology. National 
Marine Fisheries Service, 212 Rogers Ave., Milford, CT 06460 

O'BRIEN, Dr. Francis X., Dept. of Biology, Southeastern Massa- 
chusetts Univ., North Dartmouth, MA 02747 

O'BRIEN, Loretta, P.O. Box 597, Woods Hole, MA 02543 

O'DOR. Dr. Ronald K., Biology Dept., Dalhousie Univ.. Halifax, 
Nova Scotia, Canada B3H 4J1 

OESTERLING, Michael J., Virginia Institute of Marine Science, 
College of William and Mary, Gloucester Point, VA 23062 

OLMI, Eugene J., Grice Marine Biological Lab., Collegeof Charleston, 
Charleston.SC 29412 

OLSEN, Dr. Lawrence A., Florida Dept. of Environmental Regula- 
tion, 2600 Blairstone Rd.. Tallahassee, FL 32301 

OLSEN, Scharleen, Washington Dept. of Fisheries, 1000 Pt. Whitney 
Rd., Brinnon, WA 98320 

OSIS, Laimons, Oregon Fish Comm., Marine Science Dr., Newport, 

O OR 97365 

OTWELL, Dr. W. Steven, Food Science and Human Nutrition, Univ. 
of Florida, Gainesville, FL 326 1 1 



Membership List - National Shellfisheries association 



213 



OVERSTREET, Dr. Robin M., Gulf Coast Research Laboratory, 

Ocean Springs, MS 39564 
OVS1ANICO, Natalya N.,c/o Morton Bahamas Ltd., P.O. Box 1216, 

Brunswick, GA 31521 

PAGE, Mark. Marine Science Institute, Univ. of California, Santa 

Barbara, C A 93106 
PAGEL, Robert, 5 South Grand Ave., Deerfield, WI 53531 
PAUL, Augustus John. Seward Marine Station, Institute of Marine 

Science, Box 617, Seward, AK 99664 
PEARCE, Dr. John B., National Marine Fisheries Service, Sandy 

Hook Laboratory, Highlands, NJ 07732 
PEIRSON, W. Michael, P.O. Box 222, Eastville,VA 23347 
PENNER, Dr. Lawrence R., Biological Science Group U-43, Univ. of 

Connecticut, Storrs, CT 06268 
PERDUE, James A., 1 709 Upper Millstone Lane, Salisbury , MD 21801 
PERLMUTTER, Dr. Alfred, Biology Dept., New York Univ., New 

York, NY 10012 
PERRY, Harriet M, Gulf Coast Research Laboratory, Ocean Springs, 

MS 39564 
PETROVITZ, Eugene J, Aquacultural Research Corp., P.O. Box AC, 

Dennis, MA 02638 
PFITZENMEYER, Hayes T., Chesapeake Biological Laboratory, 

Box 38, Solomons, MD 20688 
PHILLIPS, Clyde A., High & Rena Streets, Mauricetown, NJ 08329 
PILLSBURY, Katherine, A2-27 Twin Oaks Village, Mansfield, 

MA 02048 
POBRAN, Theodore T. , Marine Resources Branch, 229-780 Blanchard 

Street. Victoria. British Columbia, Canada V8V 1X5 
POIRRIER, Dr. Michael A., Dept. of Biological Sciences, Univ. of 

New Orleans, Lake Front, New Orleans, LA 70148 
PONDICK, Jeffrey, Biological Sciences Group, Univ. of Connecticut, 

Storrs, CT 06268 
POPHAM, Dr. J. David, Seakem Oceanographic, Ltd., 2045 Mills 

Road, Sydney, British Columbia, Canada V8L 3S1 
PORTER, Hugh J.. Univ. of North Carolina, Institute of Marine 

Science, Morehead City, NC 2855 7 
POWELL, Eric N., Dept. of Oceanography, Texas A&M Univ., 

College Station, TX 77843 
POWELL, Guy C, Fishery Research Biologist, Box 2285, Kodiak, 

AK 99615 
PRAKASH, Dr. A., Environmental Protection Service. Place Vincent 

Massey; 12th Fir., Ottawa, Ontario, Canada K1A 1C8 
PREZANT, Dr. Robert S., Dept. of Biology, Univ. of Southern 

Mississippi, Southern Station, Box 5018, Hattiesburg, MS 39401 
PRICE, Thomas J., National Marine Fisheries Service, Beaufort, NC 

28516 
PROCHASKA, Dr. Fred J., Food & Resource Economics, 1170 

McCarty Hall, Univ. of Florida, Gainesville, FL 32611 
PRUDER, Dr. Gary D., College of Marine Studies, Univ. of 

Delaware, Lewes, DE 19958 

*QUAYLE, Dr. Daniel B., Fisheries and Oceans, Pacific Biological 
Station, Nanaimo, British Columbia, Canada V9R 5K6 
QUIN, Judith. 1567 Whiffen Spit. Sooke, British Columbia, Canada 

RAE, Dr. John G., Dept. of Natural Science. Florida Institute of 

Technology, Jensen Beach, FL 33457 
RANEY, Dr. Edward C, 301 Forest Dr., Ithaca, NY 14850 
RASK, Hauke, P.O. Box 209, Barnstable, MA 02630 
RATHJEN, Warren F., P.O. Box 1109, Gloucester, MA 01930 
RAYLE, Michael F., Steimle & Associates, Inc., P.O. Box 856, 

Metairie, LA 70004 
REISINGER, Tony, Cameron County Extension Service, County 



Bldg., San Benito, TX 78586 
RELYEA, David R., F. M. Flower & Sons, Inc., 34 Ludlum Ave., 

BayviUe, NY 11709 
RHODES, Bryce W., 3190 A Airport Loop Dr., Costa Mesa, CA 

92626 
RHODES, Dr. Edwin, National Marine Fisheries Service, 212 Rogers 

Ave., Milford, CT 06460 
RHODES, Raymond, 8 Westside Dr., Charleston, SC 29412 
RICE, Mindy L., 43 Larkin St., Bangor. ME 04401 
RIDEOUT, Carol B., Virginia Institute of Marine Science, College 

of William and Mary, Gloucester Point, VA 23062 
RINES, Henry M.. School of Oceanography, Univ. of Rhode Island, 

Kingston, RI 02881 
RING, Gregg, P.O. Box 13396, Houston, TX 77219 
RIVARA, Gregg, 41 Amagansett Dr., Sound Beach, NY 11789 
ROACH, David A., Westport Shellfisheries, Town Hall, 816 Main 

St.,Westport. MA02790 
ROBERT, Ginette, Fisheries Research Branch, P.O. Box 550. 

Halifax, Nova Scotia. Canada B3J 2S7 
ROBERTS, Dr. Morris H.. Virginia Institute of Marine Science. 

College of William and Mary, Gloucester Point, VA 23062 
ROBERTSON, Robert, Dept. of Malacology, Academy of Natural 

Sciences. Nineteenth & the Parkway, Philadelphia, PA 19103 
ROBINSON, Anja. P.O. Box 312, Y achats, OR 97498 
ROBINSON, Dr. William E., New England Aquarium, Edgerton 

Research Laboratory, Central Wharf, Boston, MA 02110 
RODHOUSE, Paul, The Laboratory, Marine Biological Association, 

Citadel Hill, Plymouth, England PL1 2PB 
RODRIGUEZ, Gustov A., PRODEMEX. Apartado Postal 1095, 

Los Mochis, Sinaloa, Mexico 
ROGERS, Bruce A., 61 Switch Rd., RFD, Hope Valley, RI 02832 
ROOSENBURG, Willem H.. Box 16A. Bowen Road, St. Leonard, 

MD 20685 
ROPER, Dr. Clyde F. E., Dept. of Invertebrate Zoology, Museum of 

Natural History, Smithsonian Institution, Washington, DC 20560 
ROPES, John W., 21 Pattee Rd., East Falmouth, MA 02536 
ROSENBERRY, Robert, 1 1057 Negley Ave., San Diego, CA 92131 
ROSENFIELD, Dr. Aaron. National Marine Fisheries Service. 

Oxford, MD 21654 
ROWELL, Terence W., Fisheries and Oceans, P.O. Box 550, Halifax, 

Nova Scotia, Canada B3J 2S7 
RUPRIGHT, Gregory L., c/o Sondrini, 7200 Ulmerton Rd., Largo, 

FL 33541 
RUSSELL, Peggy Rochelle, N 34671 Hwy. 101, Lilhwaup, WA 98555 
RYTHER, Dr. John H., Center for Marine Biotechnology, RR1, 

Box 196A, Ft. Pierce, FL 33450 

SANDIFER, Dr. Paul A., Marine Resources Research Institute, 

P.O. Box 12559, Charleston, SC 29412 
SAVAGE, Neil, 15 Allen St., Exeter, NH 03833 
SAXBY, D. J., 4727 S. Piccadilly, W. Vancouver, British Columbia, 

Canada V7W 1J8 
SCARPA, John, College of Marine Studies, 700 Pilottown Rd., 

Lewes, DE 19958 
SCHILLING, Mary, Harbor Branch Institution Inc., RR1, Box 196A, 

Fort Pierce, FL 33450 
SCHLICHT, Dr. Frank G., 6711 Rowell Court, Missouri City, TX 

77489 
SCHNEIDER, R. Randall, Dept. of Natural Resources, Tidewater 

Admin., Tawes State Office Bldg. C-2, Annapolis, MD 21401 
SCOTT, Timothy, Dept. of Ecology and Evolution, State Univ. of 

New York, Stony Brook, NY 11794 
SCRO, Robert, New Jersey Dept. of Environmental Protection, 

Div. of Water Resources, 25 Arctic Parkway, Trenton, NJ 08625 



214 



Membership List - National Shellfisheries association 



SEGER, James L., 3245 SW Marigold. Portland. OR 97219 

SEKI. Tetsuo, Oyster Research Institute, 211 Higashi Mohne 

Motoyoshi. Miyagi Prefecture, Japan 988-05 
SERCHUK, Dr. Fredric M., National Marine Fisheries Service, 

Northeast Fisheries Center. Woods Hole, MA 02543 
SHABMAN, Dr. Leonard, Dept. of Agricultural Economics, Virginia 

Polytechnic Institute, Blacksburg. VA 24061 
SHAW, Harry L., Pacific Aquaculture. P.O. Box 55, Edgecliff, 

Sydney, New South Wales 2027 Australia 
SHAW, William, Humboldt State Univ., Marine Laboratory, P.O. 

Box 624, Trinidad, CA 95570 
SHIPMAN, Susan, Dept. of Natural Resources, 1200 Glynn Ave., 

Brunswick, GA 31523 
SHIRAISHI, Dr. Kagehide, Dept. of Biology, Iwate Medical Univ., 

Morioka Iwate-Ken. Japan 
SHOTWELL, J. A., P.O. Box 417, Bay Center, WA 98527 
SHULTZ, Dr. Fred T., P.O. Box 313, Sonoma, CA 95476 
SHUMAN, Randy, Applied Marine Research, Inc.. 7525 44th Ave., 

NE, Seattle, WA 98115 
SHUMWAY, Dr Sandra, Dept. of Marine Resources, West Boothbay 

Harbor, ME 04575 
SHUSTER, Dr. Carl N., 3733 N. 25th Street. Arlington, VA 22207 
SIDDALL, Dr. Scott E., Marine Sciences Research Center, State 

Univ. of New York, Stony Brook, NY 11794 
SIEGFRIED, Carol, Univ. of Delaware, 700 Pilottown Rd., Lewes, 

DE 19958 
SIELING, Fred W., 14 Thompson St., Annapolis. MD 21401 
SIELING, F. William, 26 Farragut Rd., Annapolis, MD 21403 
SILVIA, Robert, 29 Tri-Town Circle, Mashpee, MA 02649 
SIMONS, Donald D., Washington Dept. of Fisheries, 331 State 

Highway 12, Montesano, WA 98563 
SISSENWINE, Michael P., P.O. Box 12, Woods Hole, MA 02543 
SLOAN, Norman A., Pacific Biological Station, Fisheries and 

Oceans, Nanaimo, British Columbia, Canada V9R 5K6 
SMITH, Bruce W., Public Service Co. of New Hampshire. 1000 Elm 

Street, Manchester, NH 03105 
SMITH, Dr. John M., Grays Harbor College. Aberdeen, WA 98520 
SMITH, Kathleen A.. 396 Appleton St., Arlington, MA 02174 
SMITH, Lorene E., Dept. of Biological Sciences, University of New 

Orleans, Lakefront, New Orleans, LA 70148 
SMITH, Myron C, Coast Oyster Co., P.O. Box 327, Quilcene, WA 

98376 
SMITH, Theodore I. J., Marine Resources Research Institute, 217 Ft. 

Johnson Rd., Charleston, SC 2941 2 
SMITH, Walter L., Box 754, Orient, NY 11957 
SNYDER, Barry J., Marine Sciences Research Center, State Univ. 

of New York, Stony Brook, NY 1 1 794 
SONIAT, Dr. Thomas. Dept. of Biological Sciences, Univ. of New 

Orleans, Lakefront, New Orleans, LA 70148 
SPARKS, Dr. Albert K., Northwest Fisheries Center, 2725 Montlake 

Blvd. E, Seattle, WA 98112 
STAINKEN, Dennis, 1 Estel Place, Green Brook.NJ 08812 
STANLEY, Dr. Jon G., Dept. of Zoology. Univ. of Maine, Orono, 

ME 04469 
STARR, Richard M., Oregon Dept. of Fish and Wildlife, Bldg. 3, 

Marine Science Drive. Newport, OR 97365 
STEELE, Eail N., Box 42, Blanchard, WA 98231 
STEVENS, Fred S., Marine Resources Research Institute, P.O. 

Box 12559. Charleston, SC 29412 
STEVENS, Stuart A.. Shellfish Sanitation Program, 1200 Glynn 

Ave., Brunswick, GA 31520 
STEVENS, Ted, Waddell Mariculture Center, P.O. Box 809, Bluffton, 

SC 29910 
STEWART, Lance L., Marine Science Institute, Avery Point, Univ. 

of Connecticut, Groton, CT 06340 



STRASDINE, Susan A.. Institute of Animal Resource Ecology, 

Univ. of British Columbia, 2204 Main Mall. Vancouver, British 

Columbia, Canada V6T 1W5 
STRONG, Craig E., Bluepoints Co., Inc., Foot of Atlantic Ave., 

West Sayville, NY 11796 
SUMNER, C. E., 18 Thomas St., North Hobart. Tasmania 7000 

Australia 
SUNDERLIN, Judith B.. 58E Cotton Valley, Star Rt. 00864, 

Christiansted, St. Croix, Virgin Islands 00820 
SUPAN, John, Fisheries Agent, Cooperative Extension Service, 

P.O. Box 2440, Covington, LA 70434 
SUPRENANT, Albert H., Cape Cod Oyster, 262 Bridge St., Oster- 

ville, MA 02655 
SWAN, William H., P.O. Box 758, Hampton Bays, NY 11946 
SWEENY, Brian, P.O. Box 914, Gloucester Point, VA 23062 
SWIFT, Dr. Mary L., 15656 Millbrook Lane, Laurel, MD 20707 
SZIKLAS, Robert, Wauwinet, Nantucket, MA 02554 

TABARINI, C. L. 7836 Midday Lane, Alexandria, VA 22306 
TAUB, Dr. Frieda B., College of Fisheries. Univ. of Washington, 

Seattle, WA 981 95 
TAYLOR, David M., P.O. Box 5667, St. John's Newfoundland. 

Canada A 1C 5X1 
TAYLOR, Frank S., Marine Resources Research Institute, P.O. 

Box 12559, Charleston, SC 29412 
TAYLOR, Rodman E., Shellfish Unit, School of Fisheries WH-10, 

Univ. of Washington, Seattle, WA 98195 
TEMPLETON, Dr. James E., c/o W & P Nautical, Inc. 222 Severn 

Ave., Annapolis. MD 21403 
TETTELBACH, Lisa Petti. National Marine Fisheries Service, 

212 Rogers Ave. .Milford, CT 06460 
TETTELBACH, Stephen, Marine Research Laboratory, Univ. of 

Connecticut, Noank, CT 06340 
THOMAS, Dr. M. L. H., Dept. of Biology, Univ. of New Brunswick, 

P.O. Box 5050, St. John, New Brunswick, Canada E2L 415 
THOMPSON, Douglas S.. P.O. Box 196, Nanoos Bay, British 

Columbia, Canada V0R 2R0 
THOMPSON, Richard, 2902 Dillionhill Drive, Austin, TX 78745 
THURBERG, Dr. Frederick P., National Marine Fisheries Service, 

212 Rogers Ave., Milford, CT 06460 
TOLL, Dr. Ronald B., Dept. of Biology. Univ. of the South, 

Sewanee, TN 37375 
TOLLEY, Everett A.. Progressive Services Inc., P.O. Box 10076, 

Baltimore, MD 21204 
TOWNSHEND, E. Roger, Blooming Point Rd., Rural Route 1, 

Mount Stewart, Prince Edward Island, Canada C0A 1T0 
TREVELYAN, George, Univ. of California, Bodega Marine Lab., 

P.O. Box 247, Bodega Bay, CA 94923 
*TRUITT, Dr. Reginald V, Great Neck Farm, Stevensville, MD 21666 
TURNER, Dr. Ruth D., Museum of Comparative Zoology, Harvard 

Univ., Cambridge, MA 02138 
TWEED, Stewart, Cape May County Extension Office. Dennisville 

Road, Rte. 657, Cape May Court House, NJ 08204 

UKELES, Dr. Ravenna, National Marine Fisheries Service, 212 

Rogers Ave., Milford, CT 06460 
URBAN, Edward R., College of Marine Studies, Univ. of Delaware, 

Lewes, DE 19958 

VACAS, Lie. Herman C, Estacion Pesquera Experimental, Avda. 

Costanera, 8520 San Antonia Oeste, Reo Negro, Argentina 
VAN ENGEL, Willard A., Virginia Institute of Marine Science, 

College of William and Mary, Gloucester Point, VA 23062 
VAN HEUKELEM, Dr. William F., Horn Point Environmental Lab., 

Univ. of Maryland, P.O. Box 775, Cambridge, MD 21613 



Membership List - National Shellfisheries association 



215 



VAN VOLKENBURGH, Pieter, 464 Greene Ave. , SayviUe, NY 1 1 782 
VAUGHAN, David E., 159 Flamingo Rd., Tuckerton, NJ 08087 
VELEZ, Anibal, Instituto Oceanographico, Apartado Postal 308, 

Cumana 6101 Venezuela 
VERGARA, Victor M., 7622 Democracy Blvd., Bethesda, MD 21817 
VOLK, John H., Dept. of Agriculture, Aquaculture Div., P.O. 

Box 97, Milford, CT 06460 
VOUGLITOIS, James J., G.P.U. Nuclear Environmental Control, 

P.O. Box 388, U.S. Route 9, Forked River, NJ 08731 

WADA, Katsuhiko, National Research Institute of Aquaculture, 

Nansei, Mie 516-01 Japan 
WAGNER, Eric, 1632 Mayfair Ct., Point Pleasant, NJ 08742 
WALKER, Randal L.. Skidaway Institute of Oceanography, P.O. 

Box 13687, Savannah, GA 31416 
WALLACE, Dana E., 3081 Mere Pt. Road, Brunswick, ME 0401 1 
WALLER, Dr. Thomas R., Curator, Dept. of Paleobiology, Smith- 
sonian Institution. Washington, DC 20560 
WALSH, Dennis T., Aquaculture Research Corp., P.O. Box 597, 

Dennis, MA 02368 
WALSH, M. G., Dept. of Bioresource Engineering, Univ. of British 

Columbia, Vancouver, British Columbia, Canada 
WARD, Jonathan Evan, CR 3, Box 1059, Lewes, DE 19958 
WATSON, R. H., P.O. Box 876, Bicheno, Tasmania 7215 Australia 
WAUGH, Godfrey R., Wallace Groves Aquaculture Foundation, 

P.O. Box 140939, Coral Gables, FL 33114 
WEIL, Ernesto, Fundacion Cientifica Los Roques, Apartado 1 

Carmelitas, Caracas 1010-A Venezuela 
WEINER, Ronald, Microbiology Dept., Univ. of Maryland, College 

Park, MD 20742 
WEINHEIMER, Debra Ann, National Marine Fisheries Service, 

Ft. Johnson Road, Charleston, SC 29407 
WEISS, Prof. Charles M., Dept. of Environmental Sciences and 

Engineering, Univ. of North Carolina, 104 Rosenau Hall, Chapel 

Hill, NC 27514 
WENNER, Dr. Elizabeth Lewis, South Carolina Marine Resources 

Research Institute, P.O. Box 12559, Charleston, SC 29412 
WESTLEY, Ronald E., 6606 Sierra Dr., SE, Lacey, WA 98503 
WHEATON. Dr. Fred, Univ. of Maryland, Dept. of Agricultural 

Engineering, College Park, MD 20742 
WHITAKER, J. David, South Carolina Wildlife and Marine Resources 

Div., P.O. Box 12559, Charleston, SC 29412 



WHITCOMB, James P., Star Route Box 35, Gloucester Point, VA 

23062 
WHITE, Marie, Dept. of Oceanography, Texas A&M Univ., College 

Station, TX 77843 
WIDMAN, James, National Marine Fisheries Service, Northeast 

Fisheries Center, Milford, CT 06460 
WIKFORS, Gary H., National Marine Fisheries Service Laboratory, 

212 Rogers Ave., Milford, CT 06460 
WILEY, Cloyde W., Rte 2, Box 65, Quinton, VA 23141 
WILLIS, Scott, Florida Dept. of Natural Resources, Marine Research 

Lab., 100 8th Avenue SE, St. Petersburg, FL 33701 
WILSON, Kerry A., New Brunswick Dept. of Fisheries. P.O. Box 

6000, Fredericton, New Brunswick, Canada E3B 5H1 
WINSTANLEY, Ross H., Comm. Fisheries Branch, Fisheries & 

Wildlife Service, 250 Victoria Parade, P.O. Box 41, East 

Melbourne, Australia 3002 
WOELKE, Dr. Charles, Washington Dept. of Fisheries, General 

Administration Bldg., Olympia, WA 98501 
WOLF, Peter H., 62 Mackenzie St., Bondi Junction. New South 

Wales 2022 Australia 
WOON, Gail L., Center for Marine Biotechnology, Harbor Branch 

Institution, Rt. 1, Box 196A, Ft. Pierce, FL 33450 

YOUNG, Adam, Seafarming Project, SEAFDEC, P.O. Box 256, 

Iloilo City, Philippines 5901 
YOUNG, Brenda L., Dept. of Biology, Univ. of South Carolina, 

Columbia, SC 29208 
YOUNG, James S., Battelle Marine Research Laboratory. 439 W. 

Sequim Bay Rd., Sequim, WA 98382 
YOUNG, Jeffrey, Pacific Seafood Industries, P.O. Box 2544, 

Santa Barbara, CA 93120 

ZAHTILA, Joseph J., 122 Bayville Ave.. Bayville, NY 11709 
ZIMMERMAN, John M., 122 Hoyt St., Apt. IE, Stamford, CT 

06905 
ZOTO, Dr. George A., 10 Widgeon Lane, West Barnstable, MA 

02668 



PACIFIC COAST SECTION 
NATIONAL SHELLFISHERIES ASSOCIATION 

(As of 1 January 1984) 



ALLEN, Stan, School of Fisheries WH-10, Univ. of Washington, 

Seattle, WA 98195 
AMPAK, 9451 A Van Home Way, Richmond, British Columbia. 

Canada V6X 1W2 
ANDERSON, Greg, 1572 River Rd., Brunswick, ME 0401 1 
ARMSTRONG, Dr. David A., School of Fisheries WH-10, Univ. of 

Washington, Seattle, WA 98195 
ARMSTRONG, John W., 6045 NE 51st, Seattle, WA 981 15 

BALDASSCM, Brian, 1619 N. Warner. No. 2. Tacoma, WA 98407 
BATCHELDER, Jack, Coast Oyster Co., P.O. Box 327, Quilcene, 

WA 98376 
BAYNES Sound Oyster Co., Ltd., P.O. Box 127, Union Bay. 

British Columbia, Canada V0R 3B0 
BEATTIE, J. Hal, National Marine Fisheries Service Aquaculture 

Station. Univ. of Washington Facility, P.O. Box 38, Manchester, 

WA 98353 
BEAUDRY, Jerry, School of Fisheries WH-10, Univ. of Washington, 

Seattle, WA 98195 



BETTINGER, Tom, Washington State Shellfish Lab.. 1000 Pt. 

Whitney Rd., Brinnon, WA 98320 
BOHN, Richard, Wiegardt & Sons, Inc., P.O. Box 189, Ocean Park, 

WA 98640 
BONACKER, Gregg, 4033 Corliss Ave. N., Seattle, WA 98103 
BOULE, Marc, Shapiro and Assoc, 1812 Smith Tower, Seattle, 

WA 98104 
BOURNE, Dr. Neil, Pacific Biological Station, Nanaimo, British 

Columbia, Canada V9R 5K6 
BREEN, Paul, Fisheries Canada, Pacific Biological Station. Nanaimo, 

British Columbia, Canada V9R 5K6 
BREESE, Prof. Willy, Oregon State Univ., Marine Science Center, 

Newport, OR 97365 
BRONSON, Jeff, Shellfish Laboratory, 1000 Pt. Whitney Rd.. 

Brinnon, WA 98320 
BROWN, Jim, Dept. of Biological Sciences, Simon-Fraser Univ., 

Burnaby, British Columbia. Canada V5A 1S6 
BUDNICK, Nicholas D., Consolidated Net & Twine Co., 1549 NW 

49th St., Seattle, WA 98107 



216 



Membership List - National Shellfisheries Association 



BURBANK, Christine, Coast Oyster Co., P.O. Box 327, Quilcene. 

WA 98376 
BURGE, Richard, Washington State Dept. of Fisheries, 1000 Pt. 

Whitney Rd., Brinnon, WA 98320 



GLUDE, John, 2703 W. McGraw, Seattle, WA 98119 
GOODWIN, Lynn, Rt. 2, Box 711, Quilcene, WA 98376 
GR1SCHKOWSKY, Dr. Roger, Alaska Dept. of Fisheries, 333 Rasp- 
berry Rd., Anchorage, AK 99502 



CALOMENI, Dave, North Seattle Community College, Biology 

Dept., 9600 CoUege Way N., Seattle, WA 98103 
CAMPBELL-ATHERTON, Moira, 259 Northridge Dr.. Shawano, 

WI 54166 
CAMPBELL, Virginia, 1177 Forge Walk, Vancouver, British 

Columbia, Canada V6P 3R1 
CANADIAN Benthic Ltd., P.O. Box 97, Bamfield, British Columbia, 

Canada V0R 1B0 
CARRASCO, Ken, School of Fisheries WH-10. Univ. of Washington, 

Seattle, WA 98195 
CARDWELL, Rick D.. Envirosphere Co., 400-112th Ave. NE. 

BeUevue, WA 98004 
CASIMIR, Al, 2616 Kwina Rd., Bellingham, WA 98225 
CHEW, Dr. Kenneth K., School of Fisheries WH-10, Univ. of Wash- 
ington, Seattle, WA 98195 
CLELAND, Bill. 1604 N. Bethel, Olympia, WA 98506 
CONTE, Dr. Fred, Aquaculture Extension, University of California, 

Davis, CA 95616 
COOPER, Ken, Shellfish Laboratory, 1000 Pt. Whitney Rd., Brinnon, 

WA 98320 
COX, Robert, Marine Resources Branch, Parliament Bldgs., Victoria, 

British Columbia, Canada V8V 1X5 
CREEKMAN, Laura, Washington State Dept. of Fisheries, P.O. Box 

190, Ocean Park, WA 98640 
CUMMINS, Joseph M., Environmental Protection Agency, Box 549, 

Manchester, WA 98353 
CUDD, Sue, 2809 165th Place, NE, Bellevue, WA 98008 

DAVIS, Joth, School of Fisheries WH-10, Univ. of Washington, 

Seattle, WA 98195 
De MARTINI, Dr. John, 1111 Birch Ave., McKinleyville, CA 95521 
DEMORY, Darrell, Oregon Dept. of Fish & Wildlife, Marine Science 

Drive, Newport, OR 97365 
DONALDSON, James, Coast Oyster Co., P.O. Box 327, Quilcene, 

WA 98376 
DRISCOLL, John M., Northwestern Glass Co., 20065 SW Santa 

Rosa Ct., Beaverton. OR 97007 
DUNGAN, Christopher, 10021 NE 122nd, No. D, Kirkland, WA 

98034 

ECHOLS, Louie S., Director, Washington Sea Grant Program, 
3716 Brooklyn Ave. NE, Seattle, WA 98195 

ELSTON, Dr Ralph, Senior Research Scientist. BatteUe North- 
west Div., 439 W. Sequim Bay Rd., Sequim, WA 98382 

EMMETT, Brian, P.O. Box 6418 Station 'C, Victoria, British 
Columbia, Canada J8P 5M3 

ERVEST, Mrs. Ray, Salty Dog Seafood, 5823 Steamboat Island Rd., 
Olympia, WA 98502 

FALMAGNE, Catherine, 16718 76th Ave. NE, Bothell, WA 98011 
FAUDSKAR, John, Oregon State Univ. Extension Service, 2204 

4th St., Tillamook, OR 97141 
FOLLETT, Jill, 10300 Schneiter Dr., Anchorage, AK 99516 
FOSTER, Carolyn, Biological Structure SM-20, Univ. of Washington, 

Seattle, WA 98195 
FULLER, Julie, 919 NE 71st, Seattle, WA 98117 

GANGMARK, Carolyn, Environmental Protection Agency Labora- 
tory, P.O. Box 549. Manchester, WA 98353 
GIORGI, Al, 812 NE 83rd, Seattle, WA 98115 



HAARS, Ellen, Dept. of Social & Health Services, MSLD 11, 

Olympia, WA 98502 
HALL, Sherwood, WHOl/Clark 410, Woods Hole, MA 02543 
HANSON, Leigh, 9705 N. Edison, Portland, OR 97203 
HAZELTINE, Arthur, Marine Culture Lab., Coast Route, Granite 

Canyon, Monterey, CA 98940 
HAYS, Max G, Dept. of Social & Health Services, Div. LD-11, 

Olympia, WA 98504 
HERITAGE, Dwight. Fisheries & Environment. Pacific Biological 

Station, Box 100, Nanaimo, British Columbia, Canada V9R 5K6 
HERSHBERGER, Dr. William K., School of Fisheries WH-10, 

Univ. of Washington, Seattle, WA 98195 
HOFFMAN, Ethelyn G, E. 1261 Mason Lake Dr. E., Grapeview, 

WA 98546 
HOGG Island Oyster, 127V2 Darwin St., Santa Cruz, CA 95060 
HOWLAND, Paul 283 Old Blyn Hwy„ Sequim. WA 98382 
HUMPHREYS, Jim, Washington Sea Grant, 19 Harbor Mall. Belling- 
ham, WA 98225 
HURLBURT, Eric, 1412 NW 61st, Seattle, WA 98107 

IM, Kwang H., c/o Earl R. Combs, Inc., 9725 SE 36 th, Mercer Island, 

WA 980404 
INCZE, Dr. Lewis, School of Fisheries WH-10. Univ. of Washington, 

Seattle, W A 98195 
IWAMOTO, Robert N., School of Fisheries WH-10, Univ. of 

Washington, Seattle, WA 98195 

JAMBOR, Nick, Box 465 Star Rt., South Bend, WA 98586 
JEFFERDS, Peter, Penn Cove Mussels, P.O. Box 148, Coupeville, 

WA 98239 
JOHNSON, Kurt, 1515 NE 105th, Seattle, WA 98125 
JONES, Bruce and Gordon, Innovative Aquaculture Ltd., Skerry 

Bay, Lasqueti Island, British Columbia, Canada V0R 2S0 

KELLY, Randolph O, 1234 E. Shaw, Fresno, CA 93710 
KLINE, Thomas, 1725 NE 90th, Seattle, WA 981 15 
KU1PER, Ted, 912 K St., Eureka, CA 95501 
KYTE, Michael, 527 212th SW, Bothell, WA 9801 1 

LAGOON Seafoods Ltd., 1317 Walnut St., Vancouver, British 

Columbia, Canada V6S 3R2 
LANGMO, Don, Industrial Engineer, Dept. of Agricultural and 

Resource Economics, Oregon State Univ., Corvallis, OR 97331 
LILJA, Jack, Dept. of Social & Health Services Div., LD-11, 

Olympia. WA 98504 
L1MBERIS Seafoods Ltd., Box 568, Ladysmith, British Columbia, 

Canada V0R 2E0 
LINDSEY, Cedric E., 744 Pt. Whitney Rd., Brinnon, WA 98320 
LIPOVSKY, Vance & Sandy, P.O. Box 635, Ocean Park. WA 98640 
LOOSANOFF, Dr. Victor, 17 Los Cerros Dr., Greenbrae. CA 

94902 
LOTOSKI, Doug, 181 Citrus Ave., Imperial Beach, CA 92032 



MADENWALD, Darlene, Western Washington Univ., Shannon Point 

Marine Laboratory, Anacortes, WA 98221 
MAGOON, Doug, Dept. of Natural Resources, EK-12, Olympia, 

WA 98504 
MANAHAN, Dr. Donald, Dept. of Biology, Univ. of Southern Calif, 

Los Angeles, CA 90089 



Membership List - National Shellfisheries association 



217 



MARTIN, Roy E., National Fisheries Institute, 2000 M St. NW, 

Washington, DC 20036 
MATTHEWS, Robert, P.O. Box 494, Ocean Park, WA 98640 
McGRAW, Dr. Kay, 131 N. 4th, Seattle, WA 98103 
MEURER, David A., Buckhorn Inc., 1690 Naomi Ct., Redwood 

City, CA 9406 1 
MILLER, Mark B.. 2526 State St., Everett, WA 98201 
MIX, Michael C, Dept. of General Sciences. Oregon State Univ., 

Corvallis, OR 97331 
MUELLER, Bernie, Marrostone Oysters, 3121 Flagler Rd., Nord- 

land, WA 98358 
MUMAW, Laura, Seattle Marine Aquarium, Pier 59, Seattle, WA 

98191 
MUSGROVE, Nancy, 6538 Earl Ave. NW, Seattle, WA 98117 

NAKATANI, Dr. Roy E., School of Fisheries WH-10, Univ. of 
Washington, Seattle, WA 98195 

NEVE, Dr. Richard, Institute of Marine Sciences, Univ. of Alaska. 
Fairbanks, AK 99701 

NISHITANI, Louisa, School of Fisheries WH-10. Univ. of Wash- 
ington, Seattle, WA 98195 

NORTHRUP, Tom, Washington State Dept. of Fisheries, Coastal 
Research Shellfish Labs, 331 State Highway 12, Montesano. 
WA 98563 

NOSHO, Terry, Washington Sea Grant Office, Univ. of Washington, 
3716 Brooklyn NE. Seattle, WA 98195 

OLIVER, Susan, 5390 Schmitt Rd., Port Angeles, WA 98362 
OLSEN, Scharleen, Washington Dept. of Fisheries, 1000 Pt. Whitney 

Rd., Binnon, WA 98320 
OSIS, Laimons. Oregon Dept. of Fish & Wildlife, Bldg. 3, Marine 

Science Dr., Newport, OR 97365 
OSTASZ, Michael J., State of Alaska, Dept. of Environmental 

Conservation, P.O. Box 10-4240, Anchorage, AK 99510 

PCOGA, 1437 Elliott Ave. W.. Seattle, WA 98119 

PAMENES, Luis Garcia, Instituto de Invest. Oceano., Univ. Auton. 

de Baja California, Apartado Postal 453, Ensenada, Baja 

California, Mexico 
PERDUE, James, 1709 Upper Millstone Ln.. Salisbury, MD 21801 
PETERS, John B., Univ. of Washington, Washington Sea Grant 

Program HF-10, Seattle, WA 98195 
POPHAM, Dr. David. Seakem Oceanography Lot, 2045 Mills Rd., 

Sidney, British Columbia, Canada V8L 3S1 
PRENTICE, Earl, Fisheries Res. Biol., National Marine Fisheries 

Service, P.O. Box 38, Manchester, WA 98353 

QUAYLE, Dr. Daniel B., Pacific Biolgoical Station, Nanaimo, 
British Columbia, Canada V9R 5K6 



RAVEN, Gary, P.O. Box 783, Coupeville, WA 98239 
RENSEL, Jack. 8249 Corliss Ave. N„ No. 2, Seattle, WA 98103 
ROBINSON, Anja, Oregon State Univ., Marine Science Center, 

Newport, OR 97365 
ROSENBERRY, Robert, Aquaculture Digest, 9434 Kierny Mesa 

Rd, San Diego, CA 92126 



ROTEN, Dr. Robert, Aquatic Research Inst. 2242 Davis Ct., 

Hayward, CA 94545 
RUSH, Ralph, Marrowstone Oyster Farm, 3081 Flagler Rd., 

Nordland, WA 98358 

SCHOLZ, Al, Washington Dept. of Fisheries, P.O. Box 224, 

Quilcene, WA 98376 
SEYMOUR, Steve, 2616 Kwina Rd., Bellingham, WA 98226 
SHRINER, Jan, P.O. Box 93, Brinnon, WA 98320 
SIMON, Doug, Washington Dept. of Fisheries, Coastal Shellfish 

Lab., Montesano. WA 98563 
SK1DMORE, Doug, P.O. Box 783, Coupeville, WA 98239 
SMITH, Myron C, Coast Oyster Co., P.O. Box 327, Quilcene, 

WA 98376 
SPARKS, Dr. Albert, National Marine Fisheries Service, 2725 

Montlake Blvd. E.. Seattle, WA 98112 
STACY, Robert, 14541 SE 167th, Renton, WA 98055 
STEELE, Earl, 730 Old 99 N., Burlington, WA 98233 
STERN, Roger, 10778 NE Seaborn Rd., Bainbridge Island, WA 

98110 
SYNDEL Laboratories, Ltd.. 8879 Selkirk St., Vancouver, British 

Columbia, Canada V6P 4S6 

TAUB, Dr. Freida, School of Fisheries WH-10, Univ. of Washington, 

Seattle, WA 98195 
TAYLOR, Rodman, School of Fisheries WH-10, Univ. of Wash- 
ington, Seattle, W A 98195 
THOMPSON, Doug, Pacific Biological Station, Nanaimo, British 

Columbia, Canada V9R 5K6 
TOKAR, Erick M., ITT Rayonier Research Center, 409 E. Harvard, 

Shelton, WA 98584 
TOLLEY, Everett A., President, Progressive Services, Inc., P.O. 

Box 10076, Baltimore, MD 21204 
TUFTS, Dennis, Washington State Dept. of Fisheries, P.O. Box 190, 

Ocean Park, WA 98640 
TYNAN, Tim, Squaxin Indian Tribe, W81 Highway 108, Shelton, 

WA 98584 

VAN CITTERS, Bob, 14630 Norma Beach Rd., Edmonds, WA 
98020 

WACHSMITH, Lou, Oregon Oyster Co., 208 SW Ankeny St., 

Portland, OR 97204 
WARING, Arnold, 1437 Elliott Ave., Seattle, WA 98119 
WATERSTRAT, Paul, Drawer V, Mississippi State Univ., Mississippi 

State, MS 39762 
WATSON, Bob, c/o IAP, Ltd., Skerry Bay. Lasquiti Island, British 

Columbia, Canada V0R 2J0 
WESTLEY, R. E., 6606 Sierra Dr. SE, Lacey, WA 98504 
WOELKE, Dr. Charles, Washington State Dept. of Fisheries, 2378 

Crestline Blvd., Olympia, WA 98502 

YAMASHITA, Jerry. Western Oyster Co., 920 E. Allison, Seattle, 
WA 98102 

ZAHRADINK, John W.,7771 Ash St., Richmond, British Columbia, 
Canada V6Y 2S2 



218 



Membership List - National Shellfisheries Association 



SUBSCRIBING INSTITUTIONS 

(As of 1 January 1984) 



AUSTRALIA 



New South Wales 



Div. of Fisheries & Oceanography, CSIRO Library, P.O. Box 21, 

Cronulla, New South Wales, Australia 2230 
New South Wales State Fisheries, 211 Kent St. (Fisheries House), 

Sydney, New South Wales, Australia 2000 

Queensland 

The Librarian, Queensland Fisheries Service, P.O. Box 344, Fortitude 

Valley, Queensland, Australia 4006 
The Library/Serials Post Office, lames Cook Univ., Queensland, 

Australia 48 1 1 

South Australia 

R. Hill & Son, Ltd.. Subscription Agents, 29 King William St., 
Adelaide. South Australia, Australia 5000 

West Australia 

Librarian (2096/71-72), Dept. Fisheries & Wildlife, 108 Adelaide 
Terrace, Perth, West Australia, Australia 6000 

BELGIUM 

W. H. Smith & Son, 71 Blvd. Adolphe Max, 1000 Brussels, Belgium 



CANADA 



British Columbia 



Fisheries & Oceans Library, Pacific Biological Station, P.O. Box 100, 

Nanaimo, British Columbia, Canada V9R 5K6 
IDRC Library, Univ. of British Columbia, 5990 Iona Dr., Vancouver. 

British Columbia, Canada V6T 1 L4 
Redonda Sea Farms. Ltd., Refuge Cove, British Columbia, Canada 

V0P 1P0 
Woodward Biomedical Lab., Serials Div., Univ. of British Columbia, 

2198 Health Sciences Mall, Vancouver, British Columbia, Canada 

V6T 1W5 

New Brunswick 

Dept. of Fisheries & Oceans, Biological Station Library, St. Andrews. 

New Brunswick, Canada E0G 2X0 
Fisheries & Oceans Library, Atlantic Fisheries Gulf Region, P.O. 

Box 5030, Moncton, New Brunswick, Canada E1C 9B6 

Newfoundland 

Librarian, College of Fisheries, P.O. Box 4920, St. John's, 

Newfoundland, Canada A1C 5R3 
Periodical Div. (P-35454), Main Library, Memorial Univ. of 

Newfoundland, Canada A1B 3Y1 
Regional Library, Fisheries & Oceans Canada, NWAFS, P.O. Box 

5667, St. John's, Newfoundland, Canada A1C 5X1 

Nova Scotia 

Canada Fisheries & Oceans, Scotia Fundy Library, P.O. Box 550, 

Halifax, Nova Scotia, Canada B3J 2S7 
Killam Library Serials Dept., Dathousie Univ., Halifax, Nova Scotia, 

Canada B3H 4H8 

Ontario 

Fisheries & Oceans Library, Ottawa, Ontario, Canada K1A 0E6 
LSI 4039, Canada Inst, for S.T.I. , Library Serials Acquisitions, 
National Research Council, Ottawa, Ontario, Canada K1A 0S2 



Quebec 

Div. Des Acquisitions Periodiques, 510444 Bibl. de L'Universite 
Laval, Quebec, Quebec, Canada G1K 7P4 

CHILE 

Library, Inst, de fomento Pesquero, Av. Pedro de Valdivia 2633, 

Santiago, Chile 
Univ. del Notre Biblioteca, Avda Angamos 0610, Casilla No. 1280, 

Antofagasata, Chile 

FEDERAL REPUBLIC OF GERMANY 
(WEST GERMANY) 

Biologische Anstalt Helgoland, Bibliothek, Notkestrasse 31, D-2000, 

Hamburg 52, West Germany 
Institut fur Meeresforschung Bibliothek, Am Handelshafen 12, 

D-2850 Bremerhaven 1, West Germany 
Staats und Universitatsbibliothek, ABT-DF, Von-Melle-Park 3. 2000 

Hamburg 13, West Germany 
Th. Christiansen Bookseller, Bahrenfelder Str. 79, Postif. 5 03 06, 

2000 Hamburg 50 (Altona), West Germany 

HOLLAND 

Rijksinstituut voor Visserijonderzoek, Postbus 68, 1970 AB 
Ymuiden, Holland 1 

HONG KONG 

Academy Books, Subscription Div., P.O. Box 98182, Tsin Slia Tsui 

Post Office, Kowloon, Hong Kong 
Chinese Univ. of Hong Kong, Univ. Library. Book Orders Dept., 

Shatin, New Territories, Hong Kong 

ITALY 

Consulenze E. Progettaxioni, Agricole E. Zootechnicha, C. So. 

Dante 119, 10126 Torino, Italy 
FAO Library, Acquisitions, Via Delia Terme de Caracalla. 00100 

Rome, Italy 
Lab. Studi Sfrut. Biolog. Lagune, Via Fraccacreta, 71010 Lesina 

(FG), Italy 

JAPAN 

Kokkai-Toshohan, Kagaku-MZ , Nagatacho, Chiyoda-Ku .Tokyo , Japan 
National Res. Inst, of Aquaculture, Toshoshitsu-422-1, Nakatsuha- 
maura. Nansei-Cho, Watarai-Gun, Mieken, 416-01 MZ Japan 

MALAYSIA 

Library Serial Section, Univ. Pertanian Malaysia, P.O. Box 203, 
Sungai Besi, Selangor, Malaysia 

NEW ZEALAND 

The Library, Fisheries Research Centre, P.O. Box 297, Wellington. 
New Zealand 

NORWAY 

Fiskeridirektoratet Biblioteket, Div. Havforsk., Postboks 1870-72, 
(Nordnesparken 2) N-5011 Bergen-Nordnes, Norway 

Fiskeridirektoratets Bibliotek, Mollendalsveien 4. N-5000 Bergen, 
Norway 

Trondheim Biologiske Stasjon, N-7001, Trondheim, Norway 

Universitetsbiblioteket, I Tromso,Boks678,N-9001 Tromso.Norway 

PORTUGAL 

Inst. Nac. Investig.das Pesca, Div. Inform, e Document., Av. Brasilia, 
1400 Lisboa, Portugal 



Membership List - National Shellfisheries Association 



219 



SPAIN 

Acuicultura del Atlantico, S.A., P.O. Box 16, Sta. Fugenia de 

Riveira, La Coruna, Spain 
Centro Experimental, Villa Juan (La Coruna), Spain 
Inst. Espanol Oceanogiafia, Lab. de la Coruna, Attn.: Sr. Torre 

Cevigon, Muelle de Animas, Apardado 130. La Coruna, Spain 
Plan de Explot. Marisquera y Cultivos, Marinos de la Region Suratl. 

(perm.), Av Francisco Montenegro, S/N„ Huelva, Spain 
Plan Explotacion Marisquera y Cultivos Marino Reg. Suratlant, 

(Pemares) Sr. Perez Rguez, Edif. del Mar, Planta 5, Cadia, Spain 

UNITED KINGDOM 

England 

British Library, Access. Dept., Lending Div., Boston Spa, Wetherby, 

Yorkshire, LS23 7BQ, England, United Kingdom 
British Museum Natl. History, General Library, Cromwell Rd., 

London, SW7 5BD, England, United Kingdom 
Collier MacMillan Distr. Serv. Ltd., Foreign Purchasing. P.O. Box 17, 

Russell Street, Nottingham, NG7 4FJ, England, VJnited Kingdom 
Collier MacMillan Distrib. Serv. Ltd.. Library Div., Foreign 

Purchasing Section, 200 Great Portland St., London, WIN 6 PB, 

England, United Kingdom 
Library, M A F F, Fisheries Laboratory, Lowestoft, Suffolk, NR33 

OHT England. United Kingdom 
The Librarian, Marine Biological Association of the United Kingdom, 

The Laboratory, Citadel Hill, Plymouth, England, United Kingdom 
The Librarian, Portsmouth Polytechnic, Cambridge Rd., Portsmouth, 

POl 2ST, England, United Kingdom 

Isle of Man 

Marine Biological Sta. Library, Port Erin, Isle of Man, United 
Kingdom 

Northern I -eland 

Librarian, Fisheries Research Lab., Abbotstown, Castleknoch, 

Co. Dublin, Ireland, llnited Kingdom 
Librarian, University College, Carna, Co. Galway, Galway, Ireland, 

Llnited Kingdom 

Scotland 

Dept. Agri. & Fish, Scotland Marine Lab. Library, P.O. Box 101, 
Victoria Rd., Aberdeen, AB9 8DB, Scotland, United Kingdom 

Dunstaffnage Marine Res. Lab., P.O. Box 3, Oban, Argyll, Scotland. 
United Kingdom 

Wales 

Library, M A F F, Fisheries Expt. Station, Benarth Rd., Conwy, 

LL32 8&B, Gwynedd, United Kingdom 
Science Library, Univ. Col. of North Wales, Deiniol Rd., Bangor, 

LL57 2UN. Gwynedd, United Kingdom 



UNITED STATES OF AMERICA 



Alabama 



Alabama Mar. Res. Lab., Seafoods Div., P.O. Box 188, Dauphin 

Island, AL 36528 
Auburn LIniv., Serials Dept., Draughon Library, Auburn, AL 36849 
Marine Environ. Sci. Consortium, P.O. Box 6282. Dauphin Island, 

AL 36528 

Alaska 

Alaska Dept. Fish & Game, Library, P.O. Box 3-2000, Juneau, 

AK 99801 
Alaska Dept. Fish & Game, Div. Comm. Fish.. Research, P.O. Box 

686, Kodiak, AK 99615 



Alaska Dept. Fish & Game, Div. Comm. Fish., Shellfish Res., P.O. 

Box 667, Petersburg, AK 99833 
Fisheries Research Library, Auke Bay Biological Lab., P.O. Box 

155, Auke Bay, AK 99821 
Library, Inst. Mar. Sci., Univ. of Alaska. O'Neill Bldg.,905 Koyukuk 

Ave., N., Fairbanks, AK 99701 
U.S. Dept. of Interior 113709, Alaska Resources Library, 701 C St., 

Box 36, Anchorage, AK 99513 

Arizona 

Univ. of Arizona (14517). Library, Serials Dept., Tuscon, AZ 85721 
California 

Aquatic Research Institute, 2242 Davis Ct., Hayward, CA 94545 
California Academy of Sciences, Golden Gate Park. San Francisco, 

CA 94118 
California Dept. of Fish & Game, Marine Res. Oper. Lab., 411 

Burgess Dr.. Menlo Park. CA 94027 
California Dept. of Fish & Game, Marine Resources Region, 2201 

Garden Rd., Monterey, CA 93940 
California Dept. of Fish & Game, Marine Tech. Infor. Center. 350 

Golden Shore, Long Beach, CA 90802 
California State Univ., Long Beach, 1250 Bellflower Blvd., Long 

Beach, CA 90840 
California, Univ. of, Davis, Library (DS 39347), Acquisition Dept.. 

Davis, CA 95616 
California, Univ. of, Irvine. Library Serials Dept., P.O. Box 19557, 

Irvine, CA 93713 
Cicese Library, P.O. Box 4803, San Ysidro, CA 92073 
Hopkins Marine Station, Library, Pacific Grove, CA 93950 
Humboldt State Univ., Library-Periodicals, Areata, CA 95521 
National Marine Fisheries Service, Southwest Fisheries Center, 

Library. La Jolla Lab., P.O. Box 271. La Jolla, CA 92037 
Scripps Inst, of Oceanography, SIS 12266, Library C-075-C, La 

Jolla, CA 92093 
Southern California, Univ. of, Allan Hancock Foundation, Library 

of Biology & Oceanography, University Park. Los Angeles, CA 

90089-0371 
Stanford Univ., Kentex Research Library, P.O. Box 6568, Palo 

Alto, CA 94305 

Connecticut 

Connecticut, Univ. of, Library Serials Dept., Storrs, CT 06268 

Delaware 

Delaware Museum of Natural History, P.O. Box 3937, Greenville, 

DE 19807 
Delaware, Univ. of. Library-Serials Dept.. Newark. DE 19711 

District of Columbia 

Congress, Library of, Gift Section, Exchange & Gift Div., 10 First 

St, SE, Washington, DC 20540 
Georgetown Univ. Library, Processing Div., 37th & 'O' Sts. NW, 

Washington, DC 20007 
Smithsonian Institute, Library- Acquisitions, Washington, DC 20560 

Florida 

EG&G Bionomics Marine Research Lab., 10307 Gulf Beach 

Highway, Pensacola, FL 32507 
Florida Dept. of Natural Resources, Marine Research Lab. Library, 

100 8th Ave. SE, St. Petersburg, FL 33701 
Florida State Univ., Strozier Library, Serials Dept., Tallahassee, FL 

32306 
Florida, Univ. of, Library (A-309). Serials Dept., Gainesville, FL 32611 
Gulf Breeze Environ. Prot. Agency Lab., Sabine Island, Gulf Breeze. 

FL 32561 



220 



Membership List - National Shellfisheries Association 



Miami. Univ. of, Rosenstiel School of Marine and Atmospheric 

Science Library, 4600 Rickenbacker Causeway. Miami. FL 33149 
National Marine Fisheries Service, Southeast Fisheries Center, 

Library, Panama City Lab., 3500 Delwood Beach Rd., Panama 

City. FL 32407 
National Oceanic and Atmospheric Administration, Fisheries 

Library, 75 Virginia Beach Dr., Miami, FL 33149 

Georgia 

Georgia, Univ. of. Libraries, SETS Dept., Athens, GA 30602 
The SIO Library, P.O. Box 13687, Savannah, GA 31406 

Hawaii 

Anuenue Library, AFRC Area 4, Sand Island, Honolulu, HI 96819 
Hawaii, Univ. of, Library, Serials Records, 2550 The Mall, Honolulu, 
HI 96822 

Illinois 

Center for Research Libraries, 5721 Cottage Grove Ave., Chicago, 

IL 60637 
Southern Illinois Univ., Morris Library (C32M3DD), Serials Dept.. 

Carbondale, IL 62901 

Louisiana 

Louisiana Dept. of Wildlife & Fisheries, St. Amant Marine Lab., 

P.O. Box 37, Grand Isle, LA 70358 
Louisiana State Univ., Library, Serials Dept., Baton Rouge, LA 

70803 
New Orleans, Univ. of, Lakefront, Long Library, New Orleans, 

LA 70148 
Tulane Univ. Library, Serials Sect. (NATS), New Orleans, LA 70118 

Maine 

Haventa, Ltd. (66-A), c/o Portland News, Dept. M, 270 Western 

Ave., South Portland, ME 04106 
Dept. of Marine Resources, Library. Fisheries Research Laboratory, 

West Boothbay Harbor, ME 04575 
Maine, Univ. of. Folger Library, Serials Dept., Orono, ME 04469 

Maryland 

American Water Resources Assoc, 5410 Grosvenor Lane, Suite 220, 

Bethesda, MD 20814 
Johns Hopkins Univ., Eisenhower Library. Serials Dept., Baltimore, 

MD 21218 
Martin Marietta Environmental Center, 9200 Rumsey Rd., 

Columbia, MD 21045 
Martin Marietta Labs, Library, 1450 S. Rolling Rd., Baltimore, MD 

21227 
Maryland, Univ. of. CEES Library, Chesapeake Biological Lab., 

Solomons, MD 20688 
Maryland, Univ. of, McKeldin Library. Serials Dept., College Park. 

MD 20742 
National Marine Fisheries Service, Northeast Fisheries Center 

Library, Oxford Lab., Oxford, MD 21564 
U.S. Dept. of Agriculture, National Agriculture Library, CSR, 

Beltsville, MD 20705 

Massachusetts 

Battelle New England Marine Lab., Library, Washington St.. 

Duxbury, MA 02332 
Library, The, Museum of Comparative Zoology, Harvard Univ., 

Cambridge, MA 02138 
Marine Biological Lab., Library, Woods Hole, MA 02543 
National Marine Fisheries Service, Home Port, Library. Biological 

Lab.. NOAA Commerce Dept., Woods Hole, MA 02543 



Univ. Nac. Auto. Mexico. Check In Service, 15 Southwest Park, 
Westwood, MA 02090 

Michigan 

Museums Library (0826784 CMSMZ), 2500 Museums Bldg., 
Washtenaw & N. University, Ann Arbor, MI 48109 

Mississippi 

Southern Mississippi, Univ. of, Cook Library - Serials, Southern 
Station, Box 5053, Hattiesburg, MS 39406-5053 

U.S. Army Engirt. Watwy. Expt. Station, P.O. Box 731, Vicksburg, 
MS 39180 

Missouri 

Hall Library Serials Dept., 5109 Cherry, Kansas City, MO 641 10 

New Jersey 

Blackwell's AOB Dept.. Dept. A, Turnersville, Blackwood, NJ 

08012 
National Marine Fisheries Service, MACFC Library, Sandy Hook 

Lab., Highlands, NJ 07732 
New Jersey Div. of Fish, Game & Wildlife. Bivalve Shellfish Office, 

P.O. Box 432, Port Norris, NJ 08349 
New Jersey Div. of Fish, Game & Wildlife, Nacote Creek Shellfish 

Office, Route 9, Abescon, NJ 08201 
Rutgers Univ., Library of Science & Medicine, Serials Dept., P.O. 

Box 1029, Piscataway, NJ 08854 
Upsala College, Library, East Orange, NJ 07019 

New York 

American Museum of Natural History, Serials Unit, Central Park 

West at 79th St.. New York, NY 10024 
Cornell Univ.. Albert R. Mann Library, Acquisitions Div., Ithaca, 

NY 14853 
Coutts Library Services. 736 Cayuga St., Lewiston, NY 14092 
Interdok Corp. P.O. Box 326, Harrison, NY 10529 
Long Island Univ., Southampton College Library, Montauk Highway, 

Rt. 27, Southampton, NY 11969 
Mt. St. Vincent, College of, Seton Library. Periodical Dept.. 

Riverdale, NY 10471 
New York, State Univ. of (SUNY), Library, Serials Dept., Stony 

Brook, NY 11794 
Shinnecock Tribe Oyster Project, P.O. Box 670. Southampton, 

NY 11968 

North Carolina 

American Aquaculture & Shellfish Development Corp., P.O. Box 81, 

Williston, NC 28589 
Duke Univ., Library, Durham, NC 27706 
National Marine Fisheries Service Library, Beaufort Lab, Beaufort, 

NC 28516 
North Carolina Div. of Marine Fisheries, P.O. Box 769, Morehead 

City, NC 28557-0769 
North Carolina, Univ. of. Wilson Library, Serials Dept. (024-A), 

Chapel HUT, NC 275 14 

Ohio 

Library, Ref. 80-12/413, Chemical Abstracts Service, P.O. Box 3012, 
Columbus, OH 43210 

Oregon 

Oregon State Univ.. Ken Library, Serials Dept., Corvallis, OR 9733 1 

Pennsylvania 

Academy of Natural Sciences, 1 9th & Parkway. Philadelphia, PA 19103 



Membership List - National Shellfisheries association 



221 



Literature Res. Dept., BioSciences Information Serv., Biological 

Abstracts, 2100 Arch St.. Philadelphia, PA 19103 
Swets North American, Inc., P.O. Box 517, Berwyn, PA 19312 

Rhode Island 

DHHS/PHS/Food & Drug Administration, NE Technical Services 
Unit, Bldg. S-26, CBC Davisville, North Kingston, RI 02852 

Pell Marine Science Library. Univ. of Rhode Island, Narragansett 
Bay Campus, Narragansett, RI 02882 

South Carolina 

South Carolina Marine Resources Research Institute Library. 

P.O. Box 12559, Charleston, SC 29412 
South Carolina, Univ. of, Cooper Library, Serials Dept., Columbia, 

SC 29208 

Tennessee 

Union Carbide Corp., Nuclear Div./ORNL Library. P.O. Box X/ 
Bldg. 4500 N. Oak Ridge, TN 37830 

Texas 

Houston Museum of Natural History, P.O. Box 8175, Houston, 

TX 77004 
Texas A&M University Library, College Station, TX 77843 
Texas A&M University Library, Moody College, P.O. Box 1675, 

Galveston, TX 77553 
Texas, Univ. of. Central Serials Record (LS 71167), General 

Libraries, Austin, TX 78712 



Virginia 

Virginia Institute of Marine Science Library, Gloucester Point, VA 

23062 
Virginia Polytechnic Institute & State Univ., Newman Library, 

Serials Receiving, Blacksburg, VA 24061 



Washington 

Battelle Northwest, Marine Research Lab. (CA58640), 358B Wash- 
ington Harbor Rd., Sequim, WA 98383 

Lummi School of Aquaculture, P.O. Box 11, Lummi Island, WA 
98262 

National Marine Fisheries Service, NW& AFC Library. 2725 Montlake 
Blvd. E, Seattle, W A 981 12 

Washington Dept. of Fisheries, Point Whitney Shellfish Lab., 600 
Pt. Whitney Rd., Brinnon, WA 98320 

Washington State Univ., Acquisitions Librarian, Olympia.WA 98501 

Washington State Univ., Cooperative Extension Service, P.O. Box 
552. Montesano. WA 98563 

Washington, Univ. of. Libraries (74-025820-624). Serials Div., 
Seattle, WA 98195 

YUGOSLAVIA 

Instituit Ruder Boskovic, Centar za Istrazivanje Mora, 52210 
Rovinj, Yugoslavia 



INFORMATION FOR CONTRIBUTORS TO THE 
JOURNAL OF SHELLFISH RESEARCH 



Original papers dealing with all aspects of shellfish 
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Number 2. of the Journal of Shellfish Research (1983) 
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Point. Virginia, USA 23062. 



JOURNAL OF SHELLFISH RESEARCH 
Vol. 3, No. 2 December 1983 

CONTENTS 

Edwin W. Cake, Jr. 

Symbiotic Associations Involving the Southern Oyster Drill Thais haemastoma floridana 

(Conrad) and Macrocrustaceans in Mississippi Waters 117 

Robert W. Elner and Rene E. Lavoie 

Predation on American Oysters (Crassostrea virginica [Gmelin] ) by American Lobsters 
(Homarus americanus Milne-Edwards), Rock Crabs (Cancer irroratus Say), and Mud 
Crabs [Neopanope sayi [Smith] ) 129 

M. F. Li, R. E. Drinnan, Michael Drebot, Jr. and Gary Newkirk 

Studies of Shell Disease of the European Flat Oyster Ostrea edulis Linne in Nova Scotia 135 

Dexter S. Haven and James P. Whitcomb 

The Origin and Extent of Oyster Reefs in the James River, Virginia 141 

Norman E. Buroker 

Genetic Differentiation and Population Structure of the American Oyster Crassostrea 

virginica (Gmelin) in Chesapeake Bay 153 

Randal L. Walker 

Feasibility of Mariculture of the Hard Clam Mercenaria mercenaria Linne in Coastal Georgia 169 

Don P. Man the, Ronald F. Malone and Harriet M. Perry 

Water Quality Fluctuations in Response to Variable Loading in a Commercial, Closed 

Shedding Facility for Blue Crabs '. 1 . .'". : . u '.. ': .' 175 

George R. Abbe 

Blue Crab (Callinectes sapidus Rathbun) Populations in Mid-Chesapeake Bay in the 

Vicinity of the Calvert Cliffs Nuclear Power Plant, 1968-1981 183 

..... .• ■ •• ■'• • ■- '"'' 

William E. Donaldson "..._..• ' 

Movements of Tagged Males of Tanner Crab Chionoecetes bairdi Rathbun off Kodiak Island, Alaska 195 

RESEARCH NOTE 

M. C Gibbons, J. G. Goodsell, M. Castagna and R. A. Lutz 

Chemical Induction of Spawning by Serotonin in the Ocean Quahog A re tica islandica (Linne) 203 

Membership Listing of the National Shellfisheries Association 207 



COVER PHOTOGRAPH (1.5 X): Florida rock-shell Thais haemastoma floridana (Conrad), also known as 
the "southern oyster drill," on shell of the eastern oyster Crassostrea virginica (Gmelin). Note the drill hole on 
the small attached oyster. Specimens were collected from Biloxi Bay, Mississippi. [Photograph taken by 
Dr. Robin Overstreet and printed by Joan Durfee, Gulf Coast Research Laboratory, Ocean Springs, MS.] 



MBI. WHOI LIBRARY 




UH lAAb X