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,       BOSTON  PUBUC  LIBRARY 
I GOVSRNMENT  OOCUMtNTS  UEPARTMfMT 
Rf^CRIVED 


D" 


The  Pesticides  Monitoring  Journal  is  published  quarterly  under  the  auspices  of  the 
Federal  Working  Group  on  Pest  Management  (responsible  to  the  Council  on  Environ- 
mental Quality)  and  its  Monitoring  Panel  as  a  source  of  information  on  pesticide 
levels  relative  to  humans  and  their  environment. 

The  Working  Group  is  comprised  of  representatives  of  the  U.S.  Departments  of  Agri- 
culture; Commerce;  Defense;  the  Interior;  Health,  Education,  and  Welfare;  State; 
Transportation;  and  Labor;  and  the  Environmental  Protection  Agency. 

The  Monitoring  Panel  consists  of  representatives  of  the  Agricultural  Research  Service, 
Animal  and  Plant  Health  Inspection  Service,  Extension  Service,  Forest  Service, 
Department  of  Defense.  Fish  and  Wildlife  Service,  Geological  Survey,  Food  and  Drug 
Administration,  Environmental  Protection  Agency,  National  Marine  Fisheries  Service, 
National  Science  Foundation,  and  Tennessee  Valley  Authority. 

The  Pesticides  Monitoring  Journal  is  published  by  the  Technical  Services  Division, 
Office  of  Pesticide  Programs,  U.S.  Environmental  Protection  Agency. 

Pesticide  monitoring  activities  of  the  Federal  Government,  particularly  in  those  agencies 
represented  on  the  Monitoring  Panel  which  participate  in  operation  of  the  national 
pesticides  monitoring  network,  are  expected  to  be  the  principal  sources  of  data  and 
articles.  However,  pertinent  data  in  summarized  form,  together  with  discussions,  are 
invited  from  both  Federal  and  non-Federal  sources,  including  those  associated  with 
State  and  community  monitoring  programs,  universities,  hospitals,  and  nongovernmental 
research  institutions,  both  domestic  and  foreign.  Results  of  studies  in  which  monitoring 
data  play  a  major  or  minor  role  or  serve  as  support  for  research  investigation  also 
are  welcome;  however,  the  Journal  is  not  mtended  as  a  primary  medium  for  the 
publication  of  basic  research.  Publication  of  scientific  data,  general  information,  trade 
names,  and  commercial  sources  in  the  Pesticides  Monitoring  Journal  does  not  represent 
endorsement  by  any  Federal  agency. 

Manuscripts  received  for  publication  are  reviewed  by  an  Editorial  Advisory  Board 
established  by  the  Monitoring  Panel.  Authors  are  given  the  benefit  of  review  comments 
prior  to  publication.  For  further  information  on  Journal  scope  and  manuscript  prepara- 
tion, see  Information  for  Contributors  at  the  back  of  this  issue. 

Editorial  Advisory  Board  members  are: 

John  R.  Wessel,  Food  and  Drug  Administration,  Chairman 

Robert  L.  Williamson,  Animal  and  Plant  Health  Inspection  Service 

Anne  R.  Yobs,  Center  for  Disease  Control 

William  F.  Durham,  Environmental  Protection  Agency 

Gerald   E.  Walsh,  Environmental  Protection  Agency 

G.    Bruce   Wiersma,   Environmental  Protection  Agency 

William  H.  Stickel,  Fish  and  Wildlife  Service 

Milton   S.   Schechter,  Agricultural  Research  Service 

Herman    R.    Feltz,    Geological   Survey 

Address  correspondence  to: 

Paul    Fuschini    (WH-569) 

Editorial    Manager 

Pesticides    Monitoring   Journal 

U.  S.  Environmental  Protection  Agency 

Washington,   DC.   20460 


Editor 
Martha  Finan 


CONTENTS 


Volume  12  June  1978  Number  1 


SOIL 


Page 


DDT  moratorium  in  Arizona — agricultural  residues  after  seven  years 1 

G.W.  Ware,  Betty  J.  Estesen.  N.A.  Buck,  and  W.P.  Cahill 


FISH,  WILDLIFE,  AND  ESTUARIES 

Organochlorine  insecticide,  polychlorinated  hiphenyl.   and  metal  residues  in  some 

South  Dakota  birds,  1975-76 4 

Yvonne  A.  Greichus,  Brian  D.  Gueck,  and  Barbara  D.  Ammann 

Organochlorine  pesticide  residues  in  Florida  birds  of  prey ,  1969-76 ° 

David  W.  Johnston 

Shell  thinning  and  pesticide  residues  in  Texas  aquatic  bird  eggs.  1970 16 

Kirke  A.  King,  Edward  L.  Flickinger,  and  Henry  H.  Hildebrand 

Organochlorine  insecticide  and  polychlorinated  hiphenyl  residues   in   woodcock 

wings,  1971-72 22 

M.A.  R.  McLane,  E.H.  Dustman,  E.R.  Clark,  and  D.L.  Hughes 

Chlorinated  hydrocarbons  and  mercury  in  birds  of  Lake  Pdijdnne,  Finland — 1972-74  26 

Jukka  Sarkka,  Marja-Liisa  Hattula,  Jorma  Janatuinen,  Jaakko  Paasivirta,  and  Risto 
Palokangas 

Dieldrin,   DDT.  polychlorinated  biphenyl.  and  mercury  levels  in  freshwater  mullet 

from  the  upper  Great  Lakes,  1975-76 . 36 

Mary  E.  Zabik,  Barbara  Olson,  and  Teiko  M.  Johnson 

GENERAL 

Mirex  incorporation   in  estuarinc  animals,   sediment,   and  water,    Mississippi   Gulf 

Coast  — 1972-74 40 

Armando  A.  de  la  Cruz  and  Kuang  Yang  Lue 

APPENDIX  43 

Information  for  Contributors  44 


SOIL 


DDT  Moratorium  in  Arizona — Agricultural  Residues  After  Seven  Years  ' 

George  W.  Ware.  Betty  J.  Estesen,  Norman  A    Buck,  and  William  P.  Cahill 


ABSTRACT 

The  moratorium  on  agricultural  use  of  DDT  in  Arizona  that 
began  in  January  1969  proved  very  effective  during  the  first  7 
years  of  enforcement.  Residues  on  green  alfalfa  declined  sig- 
nificantly to  a  probable  inherent  level  of  0.02  ppm  wet  weight. 
Soil  residues  of  ^DDT-related  degradation  products  declined 
significantly,  averaging  23  percent:  residues  in  desert  soils 
declined  60  percent.  The  ^DDT  half-life  in  irrigated  soils  was 
about  7  years:  it  decreased  to  2.5  years  in  nonirrigated  soils. 


Introduction 

The  moratorium  on  agricultural  use  of  DDT  in 
Arizona  began  in  January  1969  (2,  4,  5).  This  is  the 
fourth  and  probably  last  report  on  the  status  of  DDT 
residues  and  SDDT-related  degradation  products, 
after  18  years  of  unrestricted  use  and  4  years  of 
restricted  use  in  Arizona. 


TABLE    1      IDDT   residues    in   green    alfalfa.    Baseline    Rd., 
Maricopa  Co.,  Arizona,  1967-75 


XDDT  Residues, 

PPM 

1967 

1968 

1969 

1970 

1971 

1972 

1975 

Sample 

Aug. 

Sept 

Sept 

Sept. 

Sept. 

Sept 

Oct 

■) 



0.220 

0,038 

0050 

0.020 

0.023' 

0.009' 

i 

0283 

_ 

0027 

0030 

— 

0025' 

0.007' 

4 

0  170 

0.120 

0038 

0  037 

0.031 

0.022 

0016' 

5 

— 

0.060 

0,020 

0  024 

0.011 

0.029« 

0009' 

6 

0,277 



0035 

0.022 

— 

0.008" 

— 

8 

0,794 

— 

— 

0.027 

0,038 

0,013' 

0,023 

9 

_ 

0076 

0034 

0.IM2 

0,020 

0,029' 

0,027 

10 

0.350 

0092 

0,054 

0  162 

0  027 

0.031 

0.022' 

Jl 

0453 

0.580 

0,064 

0.047 

0085 

0.056 

0.027' 

12 

0299 

0.077 

0  025 

0.038 

— 

0.023' 

0.014' 

13 

0.606 

— 

— 

0.021 

0.027 

— 

0008' 

Means 

0404<l 

0,175c 

0037b 

0045b 

0.032b 

0026b 

0016a 

NOTE;  —  =  no  sample  analyzed 

*  =  substitute  adjacent  fields 

Means  with  same  letter  are  not  significantly  differenl  at  the  0  05  level. 


Analytical  Methods 

Alfalfa  and  soil  samples  were  collected  as  described  in 
previous  reports  (2,  4.  5)  from  the  three  major  irrigated 
areas  in  Arizona:  Salt  River  Valley,  which  surrounds 
Phoenix;  Pinal  County;  and  the  Yuma  mesa  and  valley  in 
Yuma  County.  Desert  soil  samples,  but  only  the  top  0.25 
inch,  adjacent  to  these  areas  were  also  collected.  In  addi- 
tion an  earlier  study  {3)  was  continued  to  provide  reference 
standards  and  continuity  for  the  seven-year  period  (Table 
1).  The  sampling  sites  are  located  on  a  60-mile  Maricopa 
County  east-west  transect  along  Baseline  Road,  much  of 
which  is  now  residential. 

Alfalfa  and  soil  samples  were  extracted  and  cleaned  by 
procedures  previously  described  (2-5). 


'  Department  of  Entomology.  The  University  of  Arizona.  Tucson.  AZ  85721  This 
paper  submitted  lo  Regional  Project  W-45.  "Residues  of  Pesticides  and  Related 
Chemicals  in  the  Agricultural  Environment — Their  Nature.  Distribution.  Persis- 
tence, and  Toxicologicat  Implications."  University  of  Arizona  Agricultural  Ex- 
periment Station  Journal  Series  No    2759 


Samples  were  analyzed  by  electron-capture  gas-liquid 
chromatography  (EC-GLC).  Recovery  standards  and  ana- 
lytical reagent  blanks  were  also  extracted  and  cleaned  each 
day.  Recoveries  were  consistently  above  90  percent;  how- 
ever, the  data  presented  have  not  been  corrected.  The 
minimum  sensitivity  of  the  method  was  arbitrarily  set  at 
0.02  ng  for  p,  p'-  and  o.  p'-DDT.  DDE,  and  TDE. 
Standard  curves  extended  from  0.03  ng  to  0.10  ng.  The 
sensitivities  were  0.001  ppm  for  alfalfa  and  0.003  ppm  for 
soil.  Results  are  based  on  a  minimum  sample  size  and  6  p.1 
extract  injected  into  the  chromatograph. 

Analytical  EG-GLC  confirmatory  tests  were  conducted 
randomly  using  a  double-length  GLC  column  at  the  same 
temperatures  as  those  used  in  the  previous  study  (2). 
Because  of  low  levels  of  IDDT  and  interfering  peaks  of 
toxaphene  which  may  have  drifted  from  nearby  cotton- 
fields,  all  alfalfa  extracts  were  dehydrohalogenated  after 
cleanup  on  Florisil  and  residues  were  measured  only  as 
o.p'-  and  p,p'-DDE  as  described  by  Cahill  et  al.  (2); 
results  were  combined  when  measurable  levels  of  o,p'- 
DDE  were  found. 


Vol.  12,  No.  I.June  1978 


1 


Results  and  Discussion 

Residues  observed  in  alfalfa  and  soil  samples  during  the 
past  7  years  are  presented  in  Tables  1-3  as  iDDT.  The 
Student-Newnian  Keul's  lest  was  used  to  analyze  differ- 
ences among  residue  means  for  the  various  sampling  dates. 
Comparisons  were  made  on  least-square  means  in  the  soil 
samples  (Table  3)  because  there  were  too  few  samples. 
Residues  on  alfalfa  from  all  four  areas  shown  in  Tables  I 
and  2  appear  to  have  leveled  off  at  about  0.02  ppm. 
September  values  for  Yuma  County  alfalfa  were  consist- 
ently high  from  1969  through  1972.  However,  these  values 
were  well  below  0.02  ppm  in  1975. 

Residue  levels  in  alfalfa  soils  declined  from  the  previous 
sampling  period,  September  1972  (Table  3).  In  the  past, 
yearly  examination  of  these  soil  residues  indicated  almost 
imperceptible  changes.  After  3  years,  however,  the  resi- 
dues had  declined  significantly,  an  average  of  23  percent. 
Residues  in  the  desert  soils  declined  60  percent.  This 
suggests  that  the  iDDT  half-life  in  the  irrigated  soils  of 
Arizona  is  about  7  years,  and  decreases  to  about  2'/i  years 
in  the  desert  or  nomrrigated  soils. 

iDDT  residues  now  found  in  the  agricultural  soils  of 
Arizona  are  shifting  steadily  toward  higher  proportions  of 
DDE.  The  ratio  of  DDH:DDT  in  these  soils  shifted  from 
56:44  in  1972  to  62:38  in  1975.  in  the  desert  soils,  the  shift 
was  approximately  the  .same:  from  65:35  in  1972  to  71:29 
in  1975.  These  data  suggest  that  iDDT  residues  are  de- 
clining at  a  predictable  rate,  probably  both  by  volatility 
and  conversion  to  metabolites  not  measured  with  the  ana- 
lytical methods  used  in  this  study. 


LITERATURE  CITED 

(/)  Cahill.  W.  P  .  B.  J.  Estesen.  and  G  W.  Ware.  1970. 
Determination  of  DDT  in  the  presence  of  toxaphene  resi- 
dues. Bull    Environ.  Conlam.  Toxicol.  5(3):260-262. 

(2)  Ware.  G.  W..  B.  J.  Estesen.  and  W.  P.  Cahill.  1974.  DDT 
moratorium  in  Arizona — agricultural  residues  after  4  years. 
Peslic.  Monit.  J    8(2):98-101 

(3)  Ware.  G.  W..  B  J.  Estesen.  and  W.  P  Cahill.  196H.  An 
ecological  study  of  DDT  residues  in  Arizona  soils  and 
alfalfa.  Peslic.  Monit   J.  2(3):129    132. 


(4)  Ware.  G  W  .  B  J.  Estesen.  ami  W  P  Cahill  1971  DDT 
moratorium  in  Arizona — agricultural  residues  after  2  years. 
Peslic.  Monit.  J.  5(3):276-280. 

f5)  Ware.  G.  W..  B  J  Estesen.  C.  D  Jahn.  and  W.  P.  Cahill. 
1970  DDT  moratorium  in  Arizona — agricultural  residues 
after  1  year   Peslic.  Monil    J    4(1  ):2 1-24. 


TABLE   2.    IDDT  residues   in   green   alfalfa   during    1969-75 
DDT  moratorium.  Arizona 


£DI7r  Residues,  ppm 

1969 

1969 

1970 

1971 

1972 

1972 

1975 

Sample 

Jan. 

Skpt 

Sept 

Sefi 

Jan 

Sept. 

Oct. 

Maucopa  Count*.  Amzona 

1 

0087 

0042 

0057 





_ 

0019* 

2 

0  303 

0.062 

0  050 

0.025 

_ 

0.039* 

0037' 

3 

0  102 

0078 

0093 

0038 

— 

— 

0011* 

4 

0  107 

0,047 

0  076 

0037 

— 

0046' 

0017 

5 

0C>49 

0030 

0.025 

0007 

— 

0011 

0015* 

6 

0  113 

0064 

0060 

0051 

— 

0045" 

0041* 

7 

0082 

00,34 

0023 

— 

— 

0055 

021 

8 

0125 

0.056 

— 

— 

— 

— 

— 

9 

0085 

0044 

0  101 

— 

— 

— 

— 

10 

- 

— 

0.080 

0.059 

— 

— 

— 

Means 

0  117c 

0051b 

0.063b 

0036b 

- 

0.39b 

0.023a 

Pinal  County. 

AUZONA 

1 

0047 

0042 

00J4 

0  055 



0041* 



2 

0047 

0  031 

0059 

0  036 

— 

— 

0068' 

3 

0  142 

0  187 

_ 

_ 

_ 

— 

0006* 

4 

0  231 

0076 

0  071 

0.072 

— 

0025 

— 

5 

0092 

0  130 

0045 

— 

— 

0.025' 

_ 

6 

0038 

0  058 

OMS 

_ 

— 

— 

— 

7 

0  079 

0  118 

0  059 

0  038 

_ 

0.044 

0023* 

8 

0068 

0  071 

0.031 

0.034 

— 

0.018 

0.077' 

9 

0.054 

0.068 

0.057 

0.060 

— 

— 

aooe* 

Means 

0088b 

0086b 

0030a 

0.049a 

- 

0.031a 

0.0361 

Yuma  Countv 

AUZONA 

1 

0.047 

0.373 



0.120 

0.025 

0.032 

0016' 

2 

0039 

0098 

— 

— 

0010* 

0017» 

0008' 

3 

0049 

0  256 

0084 

0.270 

0073* 

0040* 

0040 

4 

0  057 

0  093 

_ 

_ 

0055' 

0075' 

0025 

5 

0057 

0545 

0063 

0  -340 

0047* 

0290* 

0030' 

6 

0044 

0317 

— 

— 

0035' 

0300* 

0.032' 

7 

0059 

0  241 

— 

— 

0026* 

0  190* 

0034' 

8 

0  036 

0  045 

0  034 

0  031 

0039* 

— 

0005' 

9 

0021 

0056 

— 

— 

0015> 

— 

— 

10 

0.046 

0.074 

0051 

0050 

0.028 

0.045 

0006 

Means 

046a 

0210b 

0.058a 

0  162b 

0.035a 

0.123b 

0.022a 

NOTE:  —  =  no  samples  analyzed. 

*  =  subadtule  adjacenl  Ttelds. 

Means  with  saiitc  letter  arc  not  significanlly  difTcicnl  ul  the  0  0^  level 


Pesticides  Monitoring  Journal 


TABLE  3.   1,DDT  residues  in  soils  during  1969-75  DDT  moratorium .  Arizona 


1969  Jan 

PPM  Residues 

1972  Sept  .  ppm  Residues 

1975  Oct 

PPM  Residues 

Field 

DDE 

o.p'- 

P.P'- 

Total 

DDE 

o.p'- 

py- 

Total 

DDE 

o.p'- 

p.p'- 

Total 

No. 

DDT 

DDT 

DDT 

DDT 

DDT 

DDT 

Ma>icop«  County 

1 

0.35 

0.04 

0.12 

0  54 

0  40 

0  04 

0  II 

0.55 

0.43 

0.10 

0  13 

0.66 

2 

0  48 

0  17 

0.78 

1  54 

0  98 

0  18 

0.47 

1.63 

3 

0  33 

0.07 

0  16 

0.59 

1.24 

0  13 

0  32 

1.69 

10 

0  10 

0.23 

1  33 

4 

0.49 

0  05 

0  17 

0.74 

0  58 

0.05 

0.23 

0  86 

0  40 

0,03 

0  12 

0  55 

5 

0  29 

0.05 

0  09 

0  44 

0.17 

0  01 

005 

0.23 

0  17 

0  01 

0.02 

0  21 

6 

2.10 

0.43 

1   10 

3  93 

2  58 

0  28 

0  96 

3  82 

2  24 

0  31 

0  58 

3  13 

7 

0  84 

Oil 

0  23 

1   22 

0  92 

0  09 

029 

1   30 

0  68 

0  06 

0  14 

0  88 

8 

2  22 

0  38 

1  29 

4  00 

2  37 

0.27 

1.21 

3.85 

1  96 

0  24 

0  98 

3  18 

9 

1    18 

0  21 

0  91 

2  41 

1    12 

0.17 

0.77 

2  06 

0  83 

0  14 

0  55 

1   51 

10 

— 

— 

— 

(0.24) 

0.31 

0.04 

0.07 

0.42 

0  24 

0.02 

0  06 

0.32 

Means 

0.92 

0.17 

0.54 

1   57a 

1.07 

0  13 

0.45 

1  64a 

0.883 

Oil 

0  31 

1  31b 

Desert 

1 

0  08 

<0.01 

0  03 

0  13 

0  43 

0  07 

0  09 

0  59 

0  04 

0  00 

0  02 

0  06 

2 

0.24 

0  02 

0  06 

0  35 

0  28 

0.03 

0.58 

0  89 

0.04 

0.01 

0  02 

0  06 

3 

0.44 

0.04 

0  15 

0  67 

0.18 

0  02 

0  04 

0.24 

0  06 

0  01 

0.02 

0  10 

4 

— 

— 

— 

12  39) 

0.54 

0  08 

0  06 

068 

0  69 

0  10 

0  19 

0  98 

Means 

- 

- 

- 

0.89a 

0.36 

0.05 

0.19 

0.60a 

0.21 

0.03 

0.06 

0.30b 

Pinal  County 

1 

0.64 

0  48 

2.43 

3  77 

0  74 

0.34 

2  64 

1.72 

0.59 

0.24 

2  51 

3.34 

2 

0  27 

0  15 

1  03 

1.52 

0  41 

0  13 

0  96 

1.50 

0.37 

0  09 

1  03 

1  49 

3 

1  05 

0  32 

1  38 

2  75 

1    16 

0  16 

080 

2.12 

0  64 

0  09 

0  42 

1    16 

4 

0  99 

0  27 

1  04 

2  30 

1.40 

0  18 

0.74 

2.32 

1.60 

0.21 

0,25 

2  05 

5 

0  16 

0.02 

0  21 

0  41 

0  25 

0.02 

0  16 

0.43 

0.19 

0  02 

0  10 

0  31 

6 

0  06 

0  01 

0  07 

0.14 

0  07 

0  01 

0.04 

0.12 

0.04 

0  00 

0.05 

0  08 

7 

1  09 

0  28 

1   37 

2  74 

1  63 

0  20 

0  80 

2.63 

1  32 

0  16 

0  31 

1  79 

8 

0  09 

<0  01 

0.04 

0  14 

0  08 

0  01 

0.02 

Oil 

0.05 

0  00 

0.01 

0  06 

9 

0  67 

0  09 

0  29 

1  06 

0  74 

0.03 

006 

0.83 

0  59 

0  05 

0.08 

0  72 

10 

0  66 

0  14 

0  36 

1    16 

1    19 

0  15 

0  39 

1.73 

0  91 

0  09 

0.08 

1.08 

Means 

0.57 

0  18 

0  82 

1   60a 

0  69 

0  12 

0  66 

1   55a 

0.63 

0  10 

0.48 

1   21b 

Desen 

1 

0  09 

<0  01 

0  06 

0  16 

0  17 

0  02 

0  12 

0  31 

0  04 

0  00 

0  01 

0  06 

2 

0  18 

0  01 

0  11 

0  32 

0  21 

0  02 

0  21 

0  44 

0  07 

0  00 

0  02 

0  09 

3 

0  05 

0  03 

0  10 

0.21 

0.06 

0.01 

0.02 

0.09 

0,04 

0  01 

0.01 

0  06 

4 

0.09 

0  03 

0  10 

0.25 

0.77 

0.07 

0.09 

0.93 

0  49 

0  05 

0  07 

0.61 

Means 

0.10 

0.02 

0  09 

0.24a 

030 

0.03 

0.11 

0.44a 

0  16 

0.02 

0.03 

0  20b 

Yuma  County 

1 

0  10 

<001 

0  07 

0.17 

0  12 

0  02 

0.03 

0  17 

0  06 

0  01 

0  01 

0  08 

2 

0  24 

0  05 

0.25 

0  54 

0  20 

0  03 

0  07 

0.30 

0.24 

003 

0  06 

0  33 

3 

0  72 

0  16 

0  72 

1  60 

0  79 

0  16 

0  49 

1  44 

071 

0  15 

0  29 

115 

4 

0  59 

Oil 

0  47 

1    17 

0  98 

0  15 

0.46 

1  59 

0.84 

0  13 

0.22 

118 

5 

0.48 

0  05 

0.30 

0  83 

075 

0  12 

0  34 

1.21 

0  54 

0  10 

0.15 

0  79 

6 

0  29 

0  16 

0.74 

1    19 

0  48 

0  10 

0,43 

1  01 

045 

0  08 

0  29 

0  81 

7 

1   29 

0  07 

037 

1   73 

111 

0  09 

0  50 

1  80 

0  91 

0  06 

0  01 

0  97 

8 

0  06 

0  01 

0  01 

0  08 

0  05 

<0  01 

<0.01 

007 

002 

0.00 

0.00 

0  02 

9 

0  00 

0.00 

0  00 

0  00 

<0  01 

<0  01 

<001 

0.03 

0  00 

0  00 

0  00 

0  00 

10 

0  26 

0.02 

0.03 

0  31 

0  17 

001 

0.02 

0  20 

0.08 

0.00 

0  01 

0  10 

Means 

040 

0  06 

0.30 

0.76a 

0.47 

0.07 

0.25 

0  78a 

0  39 

0.06 

0.10 

0  54b 

Desert 

1 

0  27 

0  02 

0  07 

0  36 

0  24 

0  06 

0  09 

0  39 

0  10 

0.03 

003 

0  16 

2 

0  03 

0  01 

0  02 

0  06 

0.02 

0  01 

0  02 

0  05 

0  02 

000 

0.01 

0  03 

3 

0.02 

0  01 

0  03 

0.06 

0  02 

0  01 

0.02 

0  05 

0  02 

0.00 

0.02 

0  05 

4 

0  00 

0  00 

0  01 

0  01 

0  79 

0.07 

0.15 

1  04 

0  00 

0  00 

0  00 

0  01 

Means 

008 

0  01 

0.03 

0  12a 

0.27 

0  04 

0.08 

0.38b 

0.035 

0.01 

0.02 

0  06a 

NOTE    —  =  no  sample  analyzed. 

Figures  in  pareniheses  are  missing  values  calculated  by  randomized  blocks  missing  value  formula. 

Means  wiih  same  tetier  are  not  significantly  different  a(  ihe  0  05  ppm  level 


12,  No.  1, June  1978 


nSH,  WILDLIFE,  AND  ESTUARIES 

Organochlorine  Insecticide,  Poly  chlorinated  Biphenyl,  and  Metal  Residues 
in  Some  South  Dakota  Birds,  J  975-76  ' 

Yvonne  A.  Greichus,  Brian  D.  Gueck,  and  Barbara  D.  Ammann 


ABSTRACT 

Chlorinated  hydrocarbon  insecticide,  pnlychlorinaled  biphenyl 
(PCB).  and  metal  residues  nere  measured  in  tissues  of  common 
crows  (Corvus  brachyrhynchos),  American  coots  (Fulica 
americana).  starlings  (Sturnus  vulgaris),  and  Franklin's  gulls 
(Larus  pipixcan).  of  South  Dakota  in  1975-76.  Insecticides  and 
PCBs  were  analyzed  by  column,  thin-layer,  and  gas-liquid 
chromatography .  Metals  were  analyzed  by  atomic  absorption 
spectrophotometry. 

DDE  was  the  most  prevalent  residue:  it  was  delected  in  93 
percent  of  all  samples  and  averaged  66  percent  of  the  total 
residues  in  the  carcass.  Average  values  ranged  from  0.04  ppm 
to  0.54  ppm.  Dieldrin  was  delected  in  61  percent  of  all  samples 
and  averaged  <  0.01  ppm  to  0.15  ppm.  TDE  and  DDT  were 
found  in  27  percent  and  15  percent,  respectively,  of  all  samples. 
and  the  averages  for  both  ranged  from  <  0.01  ppm  to  0.06  ppm. 
Heptachlor  epo.xide  and  lindane  were  delected  in  some  samples. 
PCBs  were  not  found  above  the  minimum  delectable  level.  0.1 
ppm.  in  any  sample. 

Gulls  had  higher  insecticide  and  metal  residues  than  had  cools, 
starlings,  or  crows.  Arsenic  values  averaged  1.4  ppm  dry 
weight  in  carcass  samples  from  the  four  species  of  birds.  Cad- 
mium, copper,  manganese,  lead,  and  zinc  averaged  0.10.  0.94. 
4.8,  1.0,  and  69  ppm  dry  weight,  respectively,  and  were  no 
higher  than  values  reported  in  some  birds  from  other  areas. 


Introduction 

Organochlorine  insecticides  have  been  used  in  South 
Dakota  since  1946  for  the  control  of  noxious  insects  (4). 
Although  many  of  these  insecticides  have  been  banned  or 
limited,  residues  of  some  of  the  more  persistent  compounds 
such  as  DDT,  dieldrin,  and  lindane  are  still  commonly 
found  in  birds  of  South  Dakota  (6,  7). 


'  Slalion  Biochemistry  Section.  Chemistry  Dcpanmenl.  South  Dal(Ola  Stale  Univer- 
sity. Brooltings.  SD  57UU7  This  paper  is  being  published  with  the  approval  of  the 
Director  of  the  South  Dakota  Agricultural  Experiment  Station  as  Publication  No 
1515  of  the  journal  article  series 


Four  common  species  of  South  Dakota  birds  with  distinctly 
different  feeding  habits  were  analyzed  in  1975-76  for 
eleven  insecticide  residues,  six  metals,  and  polychlorinated 
biphenyls  (PCBs)  to  determine  present  levels  of  these 
chemicals  so  that  comparisons  could  be  made  in  future 
studies. 


Methods  and  Materials 

INSECTICIDE  AND  PCB  ANALYSIS 

Seven  common  crows  (Corvus  brachyrhynchos),  six 
American  coots  (Fulica  americana),  six  starlings  (Sturnus 
vulgaris),  and  six  Franklin's  gulls  (Larus  pipixcan)  were 
analyzed.  Organochlorine  insecticide  and  PCB  residue 
levels  were  measured  on  a  wet-weight  basis  in  brain,  liver, 
feather,  and  carcass  samples  from  each  bird.  Metal  levels 
were  measured  on  a  dry-weight  basis  for  each  bird.  Sam- 
ples were  analyzed  for  lindane,  heptachlor,  heptachlor 
epoxide,  dieldrin,  aldrin,  methoxychlor,  endrin,  tox- 
aphene,  DDE,  TDE,  DDT,  zinc,  cadium,  lead,  copper, 
arsenic,  and  manganese. 

All  birds  were  killed  by  shotgun.  Gulls  were  collected 
September  2,  1975,  approximately  three  miles  west  of 
Nunda,  South  Dakota,  while  feeding  in  a  freshly  plowed 
field.  Coots  were  collected  September  15.  1975,  approxi- 
mately five  miles  southeast  of  Arlington,  in  a  marsh. 
Starlings  were  obtained  February  14,  1976,  near  Crocker. 
South  Dakota  Game,  Fish,  and  Parks  personnel  collected 
crows  April  6,  1976,  near  Richmond  Lake  in  Brown 
County.  All  specimens  collected  appeared  to  be  normal  and 
healthy. 

Authors  had  intended  to  use  only  adults  for  the  study  but 
could  find  no  literature  on  estimating  the  age  of  crows  and 
starlings.  They  selected  the  seven  heaviest  crows  for  study 
and  they  analyzed  all  starlings  collected  because  only  six 
had  been  taken.  Coots  were  aged  by  leg  color  (9)  and  gulls 
by  plumage  (15).  All  coots  and  five  of  six  gulls  analyzed 
were  judged  to  be  adults. 


Pesitcides  Monitoring  Journal 


Each  specimen  was  necropsied  to  remove  tissue  samples 
and  to  determine  sex,  stomach  contents,  and  general  body 
condition.  Technicians  removed  5  g  of  feathers,  finely  cut 
them,  and  wrapped  them  with  aluminum  foil.  Brains  and 
livers  were  removed,  weighed,  and  stored  in  glass  jars. 
Carcass  samples  consisted  of  the  entire  body  minus  beak, 
legs,  stomach  contents,  and  the  samples  of  feather,  brain, 
and  liver  previously  removed.  After  necropsy,  the  car- 
casses were  wrapped  and  frozen  in  aluminum  foil:  several 
days  later  they  were  homogenized  by  grinding  with  a 
Toledo  meat  chopper,  and  frozen  in  glass  jars  for  later 
analysis.  All  glassware  used  for  storage  and  later  insec- 
ticide analysis  was  washed  in  detergent,  rinsed  with  dis- 
tilled water,  and  baked  at  425°C  for  at  least  3  hours  to 
remove  organic  contamination. 

Samples  were  extracted  and  purified  for  chlorinated  hy- 
drocarbon residues  analysis  by  a  Florisil  column  method 
(/6)  as  modified  by  Greichus  et  al.  (8).  Methods  for 
separating  PCBs  and  insecticides  and  quantitating  PCBs 
have  been  described  by  Greichus  et  al.  (5).  One  gram  of 
carcass  and  liver  and  0.5  g  of  brain  and  feathers  were 
analyzed. 


Gas  chromatograph; 
Detectors: 
Recorders: 
Columns: 

Packing: 


Carrier  gas: 
Column  temp.; 
Injector  temp.: 
Detector  temp.: 


Varian  Aerograph  Model  2100 

"■'Ni  and  Sc'H  electron-capture 

Beckman  Ten  Inch.  I  mv 

6-ft   X    1/16-inch  borosilicate 

glass 

15    percent    QF-1    silicone 

(Fluoro)   or    1:1    mixture   of    15 

percent  QF-I   and   10  percent 

DC-200  silicone,  both  on  60- 

lOO-mesh  Chromosorb  W  (HP). 

acid-washed  and  dimethylchlor- 

osilane-treated 

Nitrogen  at  40  ml/minute 

210°  C 

220°  C 

280°  C 


Identity  of  individual  insecticides  was  verified  by  using 
thin-layer  chromatography  (2,  4).  Insecticides  and  PCBs 
were  recovered  at  89  percent  and  95  percent,  respectively. 
Minimum  detection  limits  were  set  at  0.01  ppm  and  0.1 
ppm  for  insecticides  and  PCBs  and  were  corrected  for 
percent  recovery  but  values  for  metals  were  not  corrected. 

METAL  ANALYSIS 

Zinc  was  determined  with  a  Perkin-Elmer  Model  303  flame 
atomic  absorption  spectrophotometer.  Lead,  arsenic,  cad- 
mium, copper,  and  manganese  were  determined  with  a 
Perkin-Elmer  Model  503  atomic  absorption  spec- 
trophotometer equipped  with  a  heated  HGA-2100  graphite 
furnace  and  a  Sargent-Welch  Model  SRLG  recorder.  A 
Perkin-Elmer  deuterium  arc  power  supply  Model  560 
background   corrector   was   used   in   conjunction   with   the 


spectrophotometer  when  necessary.  Operating  conditions 
of  the  instrument  were  essentially  the  same  as  those  given 
by  the  manufacturer.  Before  analysis.  0.5  g  dry  weight  of 
each  sample  was  digested  in  10  ml  of  concentrated  nitric 
acid  on  a  micro-Kjeldahl  digestion  apparatus  until  2  ml  of 
solution  remained.  An  additional  5  ml  of  nitric  acid  was 
added,  and  the  solution  was  boiled  until  I  ml  remained. 
Samples  were  reconstituted  to  10  ml  with  distilled  water 
and  analyzed  directly.  Average  recoveries  for  metals  were 
copper  87,  cadmium  91,  manganese  82.  arsenic  73.  lead 
79.  and  zinc.  94  percent. 

Minimum  detection  limits  used  for  heavy  metals  were  0.01 
ppm  for  cadmium.  0.1  ppm  for  arsenic  and  lead.  0.5  ppm 
for  copper  and  manganese.  1.0  ppm  for  zinc.  In  calcula- 
tions of  averages  and  totals,  less  than  (<)  values  were 
included  and  given  one-half  the  stated  value;  that  is.  a 
value  of  less  than  0. 1  ppm  is  recorded  as  0.05  ppm. 


Results  and  Discussion 

INSECTICIDES  AND  PCBs 

Average  insecticide  residue  concentrations  for  common 
crows,  starlings.  American  coots,  and  Franklin's  gulls  are 
given  in  Table  1.  Endrin.  heptachlor.  methoxychlor,  al- 
drin,  and  PCBs  were  not  detected  above  the  minimum 
detectable  levels  in  any  of  the  100  samples  analyzed. 
Toxaphene  detected  in  starling  feathers  was  judged  to  have 
been  an  inadvertent  contaminant  from  a  container  used  to 
carry  the  birds.  Lindane  was  found  in  only  two  crows  and 
was  not  used  in  the  calculation  of  average  total  insec- 
ticides. One  crow  had  carcass  and  liver  residues  of  0.01 
ppm  and  0. 1  1  ppm  lindane,  respectively:  another  crow  had 
a  carcass  residue  of  0.01  ppm.  Heptachlor  epoxide  was 
detected  in  crow  carcass  and  liver  samples  and  in  one  crow 
brain.  Dieldrin  residues  were  found  in  all  species,  all  four 
tissue  types,  and  in  61  percent  of  all  samples,  except  the 
coot.  Dieldrin  was  either  absent  from  the  tissues  of  the 
coot,  or  present  in  the  liver  at  the  limit  of  detection,  0.01 
ppm.  Dieldrin  concentrations  in  the  brain  and  feathers  of 
the  four  species  were  usually  below  or  slightly  above  the 
0.01  ppm  lower  analytical  limit. 

DDT  and  its  metabolites  were  the  residues  found  most 
consistently.  DDE  was  the  most  prevalent  of  the  DDT 
complex  and  was  found  in  93  percent  of  all  samples.  TDE 
and  DDT  were  detected  in  27  percent  and  15  percent, 
respectively,  of  all  samples. 

Starlings  reflect  the  general  environmental  levels  of  or- 
ganochlorine  insecticides  and  metals  available  to  them  in 
South  Dakota  because  they  are  often  year-around  terrestrial 
residents.  Coots  and  Franklin's  gulls  do  not  reflect  true 
South  Dakota  contamination  levels  because  they  are  sum- 
mer resident  only  and  are  subject  to  migratory  contamina- 
tion in  other  areas.  The  low  levels  of  TDE  and  DDT  may 
reflect  the  decreased  use  and  eventual  banning  of  DDT  in 


Vol.  12.  No.  1,  June  1978 


TABLE  1.   Organochlurinc  iiisecliciJf  residues  in  Sonih  Dakota  birds.  1975-76 


Heptachlor 
Epoxide 


Average  Residues,  ppm  (Mg'g)  Wet  Weight 


Total 

tiNSECTICIDES 


Crow 
Cool 
Slarling 
Gull 


0  06 
<0,0I 
<0  01 
<0  01 


0.13 

<0.01 

0.02 

0.15 


0.54 
0.04 
0  05 
0.44 


0.U4 
<0.01 
<0.01 

0.06 


0.06 
<0.0I 
<0.01 
<0.0I 


0  84 
0.06 
0.10 
0.66 


Crow 
Cool 
Starling 
Gull 


0  10 
<0  01 
<0  01 
<0.0I 


0,05 
0  01 
0  04 
0.04 


0.41 
0.02 
0.06 
0.10 


0.04 
<0  01 
<0.01 

0.04 


0.02 
<0.01 
<0.01 
<0.01 


0  61 
0,05 
0,12 
0.20 


BRAIN 


Crow 
Cool 
Starling 
Gull 


<0,0I 
<0,0I 
<0,0I 
<0,0I 


0,07 
<0  01 
<0  01 
<0,01 


0,05 
0.01 
0.02 
0.02 


<0  01 
<0  01 
<0.01 
<0  01 


<0  01 
<0.01 
<0.0I 
<0.0I 


0.13 
0  04 
0  04 
0.04 


FEATHERS 


Crow 
Cool 

Starling  ' 
Gull 


<0.01 

0  06 

0,04 

<0.01 

<0  01 

0.11 

<0,0I 

<0  01 

0.02 

<0.01 

<0,0I 

0.04 

Note:  Seven  crows  and  six  each  of  cools,  starlings,  and  gulls  were  analyzed 

'  Starling  feathers  were  contaminated  with  loxaphene  at  bird-collection  site;  no  residues  are  reported  here. 


the  United  States  in  1973,  altiiough  DDE  is  still  common  in 
the  environment. 

Nationwide  monitoring  of  mallard  and  black  duck  wings  by 
the  Fish  and  Wildlife  Service.  U.S.  Department  of  the 
Interior,  since  1965  has  shown  DDE  to  the  the  predominant 
residue  (10.  II).  Results  of  the  monitoring  in  1965-66 
showed  DDE  to  be  the  predominant  residue,  followed  by 
DDT,  TDE,  dieldrin,  and  heptachlor  expoxide;  in  1969, 
DDE  was  followed  by  PCBs,  DDT,  dieldrin,  TDE,  and 
heptachlor  epoxide.  In  both  studies,  organochlorine  resi- 
dues were  generally  highest  in  the  Atlantic  and  Pacific 
flyways  and  lowest  in  the  Central  flyway  of  which  South 
Dakota  is  a  part,  and  in  the  Mississippi  flyway. 

Total  insecticide  residues  were  consistently  higher  in  crows 
than  in  other  species.  Franklin's  gulls  had  the  second 
highest  total  residue  level,  followed  by  starlings  and 
American  coots.  In  brain  samples,  however,  all  three 
species  had  approximately  equal  concentrations.  Carcass 
samples  usually  had  the  highest  insecticide  levels,  fol- 
lowed by  livers;  brains  and  feathers  were  about  equal. 

Martin  {13)  analyzed  carcasses  of  starlings  from  128  areas 
of  the  United  States  in  1967-68  and  found  DDT,  its 
metabolites,  and  dieldrin  in  all  sites.  At  four  South  Dakota 
sites,  the  average  residues  for  1967-68  ranged  from  0.103 
ppm  to  1.925  ppm  DDE.  0.013  ppm  to  0.018  ppm  TDE. 
0.018  ppm  to  0.030  ppm  DDT,  and  0.012  ppm  to  0.080 
ppm  dieldrin.  Heptachlor  epoxide  and  lindane  were  occa- 
sionally found  at  all  South  Dakota  sites.  Average  total 
insecticide  residues  were  0.234,  0.201,  2.054,  and  0.334 
ppm   at   the   four  sites   (/.?).    Starlings   monitored   for  the 


present  study  in  1976  had  lower  average  total  insecticides, 
0.10  ppm,  than  had  birds  in  any  of  the  four  South  Dakota 
sites  studied  by  Martin  (13). 


Average  concentrations  of  metals  in  carcasses  of  crows, 
coots,  gulls,  and  starlings  are  reported  in  Table  2.  Values 
are  given  on  a  dry-weight  basis  but  can  be  converted  to  the 
approximate  wet  weight  by  multiplying  the  value  by  0.43, 
which  was  the  average  dry  weight  of  1  g  of  bird  carcass. 
Arsenic  levels  were  similar  in  all  four  types  of  birds. 
Converted  to  wet  weight,  arsenic  residues  were  greater 
than  those  reported  by  Martin  and  Nickerson  (14).  Starl- 
ings collected  from  50  sites  in  the  United  States  contained 
<  0.05  ppm  wet  weight  arsenic  except  for  one  sample  with 
0.21  ppm  arsenic  ( Z-^).  Gulls  averaged  0.21  ppm  cadmium, 
higher  than  residues  in  other  birds  of  this  study  but  lower 
than  some  values  reported  for  starlings  by  Martin  and 
Nickerson  (14). 

TABLE  2.   Metal  residues  in  South  Dakota  bird  carcasses, 
1975-76 


Average  Residues,  ppm  iMg/g)  Ohm  Weight' 


Metal 


Arsenic 

Cadmium 

Copper 

Manganese 

Uad 

Zinc 


Gulls 

Coots 

Starlings 

Crows 

16 

1.5 

1.6 

1.0 

0  31 

0.08 

0.10 

0.03 

1.8 

0,75 

0.51 

0.75 

4.5 

9.8' 

4.0 

4.2 

3.2  = 

0  86 

0.77 

0.72 

82.0 

71  0 

75,0 

52.0 

Note:  Seven  crows  and  six  each  of  cools,  starlings,  and  gutis  were  analyzed 

'  Residues  can  he  convened  (o  wet  weighi  by  multiplying  each  value  by  0  43.  (he 

average  dry  wcighi  of  1  g  of  bird  carca>s. 
'  Two  birds  were  analyzed 


Pesticides  Monitoring  Journai 


Gulls  also  had  higher  concentrations  of  lead  than  had 
coots,  starlings,  or  crows.  The  gulls  could  have  been 
contaminated  in  areas  other  than  South  Dakota  because 
they  are  migratory.  A  possible  cause  could  be  the  ingestion 
of  shot.  Waterfowl  are  susceptible  to  shot  ingestion  in 
wetland  areas;  upland  birds  are  susceptible  to  a  lesser 
extent  in  terrestrial  areas  (/).  Lead  residues  in  South 
Dakota  starlings  averaged  0.36  ppm  in  1971  (14),  which  is 
close  to  0.33  ppm  wet  weight  found  among  starlings  in  the 
present  study. 

Manganese,  copper,  and  zinc  are  essential  dietary  elements 
and  are  not  usually  considered  contaminants.  Levels  of 
copper  and  zinc  (Table  2)  reported  for  the  four  types  of 
birds  were  not  unusual.  Considerably  higher  levels  of 
copper  (21  ppm  wet  weight)  and  zinc  (76  ppm  wet  weight) 
have  been  found  in  livers  of  white  pelicans  (12).  Man- 
ganese concentrations  of  9.8  ppm  were  more  than  twice  as 
great  in  coots  than  in  other  birds,  possibly  because  their 
diet  contains  aquatic  plants  rich  in  this  element.  Some 
aquatic  plants  have  comparatively  high  levels  of  man- 
ganese (660  ppm  dry  weight)  (3). 

LITERATURE  CITED 

(J)  Bagley.  G.  E..  L.  N.  Locke,  and  G.  T  Nightiiiaale .  1967. 
The  occurrence  of  lead  in  tissues  of  wild  birds.  Bull. 
Environ.  Contamin.  Toxicol.  2(5):297-305. 

(2)  Breidenbach,  A.  W..  J.  J.  Lichtenherg,  C.  F.  Henke.  D. 
J.  Smith.  J.  W.  Eichelberger,  Jr..  and  H.  Slierle.  1964. 
The  identification  and  measurement  of  chlorinated  hy- 
drocarbon pesticides  in  surface  waters.  Rev.  Ed.  U.S. 
Depl.  Health,  Educ.  Welfare,  Publ  Health  Serv  Publ. 
1241:63-69. 

(3)  Funk.  W.  H..  R.  W.  Rabe.  R.  Fithy.  and  J.  I.  Parker. 
1973.  The  biological  impact  of  combined  metallic  and 
organic  pollution  in  the  Coeur  D'Alene-Spokane  River 
drainage  system.  Natl.  Tech.  Info.  Serv.  No.  PB-222  946. 

(4)  Greenwood,  R.  J.,  Y.  A.  GreUhus.  and  E.  J.  Hugghins. 
1967.  Insecticide  residues  in  big  game  mammals  of  South 
Dakota.  J.  Wildl.  Manage.  3l(2):288-292. 

(5)  Greichus.  Y.  A..  A.  Greichus,  B.  D.  Ammann.  D.  J.  Call. 
K.  C.  D.  Hamman,  and  R.   M.  Poll.  1977.  Insecticides, 


polychlorinated  biphenyls  and  metals  in  African  lake 
ecosystems.  I.  Hartbeespoort  Dam,  Transvaal  and  Voelvlei 
Dam,  Cape  Province,  Republic  of  South  Africa.  Arch. 
Environ.  Contamin.  Toxicol.  6(I):1-12. 

(6)  Greichus.  Y.  A..  A.  Greichus.  and  R.  J.  Emerick.  1973. 
Insecticides,  polychlorinated  biphenyls  and  mercury  in 
wild  cormorants,  pelicans,  their  eggs,  food  and  environ- 
ment. Bull.  Environ.  Contam.  Toxicol.  9(6):321 -328. 

(7)  Greichus.  Y.  A..  A.  Greichus.  and  E.  G.  Reider.  1968. 
Insecticide  residues  in  grouse  and  pheasant  of  South 
Dakota.  Pestic.  Monit.  J.  2(2):90-92. 

(8)  Greichus.  Y.  A..  D.  Lamb,  and  C.  Garrett.  1968.  Effi- 
ciency of  extraction  of  metabolically  incorporated  HEOD 
(carbon-14)  from  pheasant  tissues,  eggs  and  faeces. 
Analyst  93:323-325. 

(9)  Gullion,  G.  W.  1952.  Sex  and  age  determination  in  the 
American  coot.  J    Wildl.  Manage.  16(2):  191- 197. 

(10)  Heath.  R.  G.  1969.  Nationwide  residues  of  organochlorine 
pesticides  in  wings  of  mallards  and  black  ducks.  Pestic. 
Monit.  J.  3(2):1I5-123. 

(in  Heath.  R.  G..  and  S.  A.  Hill.  1974.  Nationwide  or- 
ganochlorine and  mercury  residues  in  wings  of  adult  mal- 
lards and  black  ducks  during  1969-70  hunting  season. 
Pestic.  Monit.  J.  7(3/4):  153-164. 

(12)  Koeman.  J.  H..  J  H.  Pennings.  J.  J.  M.  DeGoeij.  P.  S. 
Tjioe.  P.  M.  Olindo.  and  J.  Hopcrafl.  1972.  A  prelimi- 
nary survey  of  the  possible  contamination  of  Lake  Nakuru 
in  Kenya  with  some  metals  and  chlorinated  hydrocarbon 
pesticides.  J.  Appl.  Ecol.  9:411-416. 

(13)  Martin,  W.  E.  1969.  Organochlorine  insecticide  residues 
in  starlings.  Pestic.  Monit.  J.  3(2):  102-1 14. 

(14)  Martin.  W.  £.,  and  P.  R.  Nickerson.  1973.  Mercury, 
lead,  cadmium,  and  arsenic  residues  in  starlings — 1971. 
Pestic.  Monit.  J.  7(l):67-72. 

(15)  Robbins.  C.  S..  B.  Brunn.  and  H.  S.  Zim.  1966.  Birds  of 
North  America.  Western  Publishing  Co.,  Inc.,  Racine,  Wl. 
340  pp. 

(16)  Slemp.  A.  R..  B.  J.  Liska.  B.  E.  Langlois.  and  W.  J. 
Sladelman.  1964.  Analysis  of  egg  yolk  and  poultry  tissues 
for  chlorinated  insecticide  residues.  Poult.  Sci. 
43(0:273-275. 


Vol.  12,  No.  1,  June  1978 


Organochlorine  Pesticide  Residues  in  Florida  Birds  of  Prey,  1969-76 


David.  W    Johnston 


ABSTRACT 

Chlorinated  hydrocarbon  pesticide  residues,  especially  DDT 
and  its  metabolites,  were  determined  in  71  individuals  of  14 
species  of  predatory  birds  obtained  in  Florida  between  1969  and 
1976.  Of  the  71  birds.  68  contained  p.p -DDE  or  another  DDT 
metabolite;  34  contained  dieldrin.  DDE  was  found  in  93  percent 
of  the  57  adipose  tissue  samples,  all  the  9  brain  samples,  and  89 
percent  of  the  62  uropygial  gland  samples.  Of  the  65  birds  taken 
since  1972,  61  contained  DDE  in  at  least  one  of  these  three 
tissues  The  annual  average  of  'S.DDT  in  adipose  tissue  and 
uropygial  gland  over  the  6-year  span  was  approximately  5  ppm 
wet  weight.  From  1973  to  1976,  no  significant  increase  or 
decrease  in  pesticide  burdens  was  detected.  Some  birds  had  no 
DDE  whereas  others  contained  up  to  76  ppm  IDDT.  None  of 
the  data  suggest  thai  any  of  the  birds  of  prey  had  died  of  DDT 
or  DDT  metabolite  poisoning. 


Introduction 

For  approximately  two  decades  in  North  America,  much 
public  and  scientific  interest  has  been  focused  on  popula- 
tion declines  of  various  birds  of  prey  including  eagles, 
osprey  (Pandion  haliaetus),  and  peregrine  falcon  iFaIco 
peregrinus).  In  some  species,  correlations  have  been  made 
or  suspected  between  pesticide  burdens,  especially  DDE, 
and  mortality,  population  declines,  or  altered  physiological 
processes  resulting  in  impaired  reproductive  performances 
(8,  IH).  Eggshell  thinning  is  now  believed  to  be  a  result  of 
high  DDE  burdens,  both  in  captive  and  feral  birds  of  prey 
{13,  14.  17).  One  might  anticipate  high  pesticide  burdens 
in  birds  of  prey  because  they  are  usually  terminal  members 
of  food  chains,  and  thus  can  concentrate  the  fat-soluble 
chlorinated  hydrocarbon  pesticides.  In  most  published  ac- 
counts dealing  with  these  birds,  pesticide  residues  were 
extracted  from  eggs  or  nestling  birds  or  from  birds  experi- 
mentally fed  DDT  (4.    13,   14);  there  are  few  published 


'  Deptrtmenl  of  Zoology,  Universily  of  Florida,  Gainesville,  FL  .'i2611  Research 
supported  in  pan  by  Gram  GB  25R72  from  the  National  Science  Foundation. 
Washington.  OC 


accounts  of  body  burdens  in  adults  except  for  a  limited 
number  of  autopsied  birds  found  dead  and  suspected  of 
pesticide  poisoning.  In  fact,  virtually  nothing  has  been 
published  on  body  burdens  in  feral  adult  birds  of  prey 
which  reportedly  produced  thin  eggshells.  Thus,  to  date, 
pesticide  burdens  at  levels  presumably  not  impairing  re- 
production are  poorly  documented  (2).  In  the  present  re- 
port, some  organochlorine  pesticide  residues  extracted 
from  birds  of  prey  obtained  recently  in  Florida  are  quanti- 
tated. 


Sampling  Methods 

The  birds  analyzed  were  obtained  between  1969  and  1976, 
chiefly  in  northcentral  Florida  near  Gainesville.  Most  birds 
were  fresh  roadkills  or  were  illegally  shot  by  hunters.  A 
few  were  picked  up  alive  in  a  weakened  condition  or  were 
having  convulsions;  they  were  kept  in  an  aviary,  and  died 
within  24  hours.  With  the  possible  exception  of  the  latter 
birds,  the  present  report  includes  birds  dying  accidentally, 
that  is,  there  was  no  a  priori  suggestion  that  any  pesticide 
burden  contributed  to  death. 

The  sample  includes  two  orders  (Falconiformes:  vultures, 
kites,  hawks,  falcons,  osprey,  caracara;  Strigiformes: 
owls).  In  all,  6  families,  12  genera,  14  species,  and  71 
individuals  were  analyzed. 


Analytical  Procedures 

From  each  specimen,  whether  fresh  or  previously  frozen  in 
individual  plastic  bags,  samples  of  subcutaneous  adipose 
tissue  (fat)  and/or  the  entire  uropygial  gland  and/or  the 
cerebrum  were  removed  for  analysis.  Recently,  a  number 
of  investigators  have  indicated  the  possibility  oi  using  the 
unique  avian  uropygial,  or  preen,  gland  as  an  indicator  of 
pesticide  burdens  in  birds  (3.  4.  II).  In  feral,  migratory 
songbirds,   Johnston   (//)  reported  a   high  correlation. 


Pesticides  Monhorinc;  Journal 


r  =  0.7568.  of  SDDT  between  adipose  tissue  an(J  uropy- 
gial  gland.  In  the  present  study,  birds  varied  in  the  degree 
of  obesity;  in  some,  essentially  no  fat  could  be  located,  so 
only  the  gland  or  brain  was  used  for  analysis.  For  59 
samples  of  fat,  the  mean  sample  weight  was  1.1224  g;  for 
62  samples  of  uropygial  glands,  the  mean  weight  was 
0.5590  g;  and  the  mean  brain  weight  taken  from  9  birds 
was  4.1375  g.  Each  sample  was  individually  thoroughly 
homogenized  in  sodium  sulfate,  and  extracted  for  at  least 
12  hours  with  petroleum  ether  in  a  Soxhlet  apparatus.  The 
lipid  extract  was  evaporated  to  dryness,  weighed,  and 
partitioned  with  acetonitrile  and  hexane. 


Detector:  electron-capture 

Column:  6-ft    x    Vj-inch  glass,   packed   with   a 

mixture  of  6.4  percent  OV-210  and  1.6 

percent  OV-17  1 1  +  1 )  on  Chromosorb  W 
Temperatures:         injection  port  210°  C 

column  212°  C 

detector  215°  C 
Carrier  gas:  nitrogen  flowing  at  45  nil/minute 

Recoveries  for  the  organochlorine  compounds  ranged  from 
75  percent  to  95  percent.  Sensitivity  was  approximately 
0.01  ppm. 


Rexultx 

All  samples 

were 

an 

alyzed  on  a  Model  600-D  Varian  gas 

chromatograph 

w 

th 

the 

following   instrument   parameters        Table  1  contains  the  results 

of  analyses 

for  the 

71  birds  of 

and  operatin 

gc 

onditions: 

prey.  Tissues 

analyzed 

for 

the  Individ 

ual 

biriJ 

s  were  not 

TABLE  1 .  Chlorinated  pesiicide  burdens  in  Florida  birds  of  prey. 

1969-76 

Tissue  ^  and 

Residues. 

PPM  Wet 

We 

GHT 

County 

Date                                    Age  '                    Weight,  g 

p.p'-DDE 

SDDT 

DiELDRIN 

CATHARTES  AURA  (TURKEY  VULTURE) 

Alachua 

Nov    71                                      UNK                              A 

(2  0751) 

3  37 

3.55 

0 

Lev, 

Apr    73                                         M                                 A 

(3.0238) 

B 
(6  0752) 

1  32 
0  17 

3.00 

0,17 

0.07 
0 

Alachua 

Apr   73                                         FA 

(4  0514) 

B 
(5,5159) 

0  78 
0,11 

1  32 
0,11 

0.46 
.0 

Levy 

May  73                                         MA 

1,59 

2.28 

0.07 

Levy 


May  73 


Leon 


May  73 


Sepi    74 


CORAGYPS  ATRATUS  (BLACK  VULTURE) 


Alachua 
'Marion 


[Contimied  next  page) 
Vol.  12,  No.  1,  June  1978 


Jan  72 
May  73 


May  73 


M  F 

(2  0323) 
F  A 

(2  8724) 

U 
(1,0003) 
F  A 

(2  2551) 

B 
(5  6169) 


6,39 
3  83 
10,50 
1  26 
0.10 


II  75 
6  87 

15  25 
1  49 
0  II 


1  18 
0.22 
0.50 
0.04 
0 


TABLE  1  (continued).  Chlorinaled  pesticide  burdens  in  Florida  birds  of  prey.  J  969-76 


Date 


Tissue  *  and 

Sex/ 

Sample 

Age  ' 

Weight,  g 

Residues,  ppm  Wet  Weight 


p.p'-DDE 


SDDT 


CORACYPS  ATRATUS  (BLACK  VULTURE)— Continued 


May  73 


A 

3.06 

7  68 

(3  0264) 

U 

5,44 

6.84 

(0  8266) 

A 

1  1  56 

25.43 

(0  9518) 

U 

9  33 

14  74 

(0  8682) 

0  66 
0,24 
2  02 
0  69 


ELANOIDES  FORFICATUS  (SWALLOW-TAILED  KITE) 


May  75 


U 
(0  6269) 


ACCIPITER  STRIATUS  (SHARP-SHINNED  HAWK) 


A 
(0  3009) 

U 
(0.0637) 


16  62 
19.62 


17  12 
19.62 


ACCIPITER  COOPERII  (COOPER  S  HAWK) 


Alachua 


Sept    73 


V 
(0.2763) 


BUTEO  J  A  MAICENSIS  (RED-TAILED  HAWK) 


July  73 


July  74 


IMF 


IM 


IM 


A 

6.25 

6  25 

(1.8650) 

U 

0  10 

0  10 

(0  4830) 

A 

3  49 

3.73 

(1  0422) 

U 

0  11 

Oil 

(0.4788) 

A 

0  37 

0  48 

(0.7617) 

U 

0  39 

0.50 

(0.7570) 

A 

0  59 

1.32 

(1  6963) 

U 

0  21 

0  21 

(0.4846) 

A 

0  37 

0.37 

(0.5357) 

U 

0 

0 

(0.4527) 

A 

4.26 

5  86 

(0  4694) 

U 

0  38 

0  38 

(0  3936) 

A 

6  14 

7  19 

(0  5699) 

U 

1  05 

1  05 

(0.2852) 

0 

0 

0  89 

0 

0.04 

0 

0 

0 

0 

0 

0  85 


U 

0  38 

0  38 

0 

(0  3936) 

Madison 

Jan    76 

IM 

A 
(0  5699) 

6  14 

7  19 

2.37 

U 

1  05 

1  05 

0  18 

(0.2852) 

BUTEO  LINEA  TUS  (RED-SHOULDERED  HAWK) 

Alacliua 

Jan    72 

F 

A 
(1  3596) 

0  64 

1  04 

006 

U 

0  18 

0.18 

0 

(0.2853) 

Alachua 

Sept    73 

IM 

A 

(0  3310) 

0.45 

1.21 

0 

U 

0  24 

0  60 

0 

(0  3104) 

Alachua 

Jan    76 

AD 

A 
(0  1888) 

7,15 

7  15 

0 

V 

0  39 

0  39 

0 

(0.2552) 

Pinellas 

Jan    76 

F 

A 

(0  2615) 

34  42 

61  76 

38  24 

U 

0  80 

1  80 

0  80 

(0  2514) 

Baker 

May  76 

F 

U 
(0  6186) 

1  21 

121 

0 

(Continued  next  page) 

10 

Pesticides  Mon 

ITORING  JOURNAI 

TABLE  1  (continued).  Chlorinated  pesticide  burdens  in  Florida  birds  of  prey.  1969-76 


Sex/ 

AOE   ' 


Tissue  ^  and 

Sample 

Weight,  g 


Residues,  ppm  Wet  Weight 


p.p'DDE 


PANDION  HALIAETUS  (OSPREY) 


Apr  73 


Sepi,  74 


Apr  75 
May  76 


A 
(0  3864) 

U 
(2.4581) 

A 
(2  8327) 

U 
(4  1778) 

A 
(0  3S401 

U 
(1  1643) 

A 
(0  7767) 

U 
(0  6309) 

U 
(0  4922) 

A 
(0  4861) 

U 
(3.7545) 


0.13 

1.55 

0.55 

0  41 

0 

0.09 

0  33 
0.32 

13.21 

1  65 
0  53 


IDDT 


0.26 

1.79 

1.29 

0.62 

0 

0.09 

0.33 

0  32 
15  85 

1  87 
0.71 


0 

0 

0 

0 

0 

0 

0 

0 

0.91 

0 

0 


Pinellas 

May  76 

M 

A 
(0.4264) 

1.52 

2.46 

0 

U 

1  39 

1.39 

0 

CARACARA  CHERIWA  l"  (CARACARA) 

Glades 

July  75 

ADF 

A 

(0  1416) 

2.47 

2.47 

0 

U 

1.25 

1.25 

0 

(0  5854) 

Highlands 

July  75 

IMF 

A 
(0  0805) 

I  24 

1.24 

0 

U 

0.48 

0.48 

0 

(0  6235) 

Highlands 

Apr    76 

IM  F 

A 
(0.1229) 

3  25 

3.25 

0 

U 

2.44 

2.44 

0 

FALCO  SPARVERIUS  (AMERICAN  KESTREL) 


Mar  73 
Mar  73 
Mar  73 


Mar  73 
Jan  74 


Jan  75 
Nov. 75 


M 
M 


A 

(0  2810) 

U 
(0  0954) 

A 
(1.1978) 

A 

U 

A 
(0  1588) 

U 
(0.0788) 

A 
(0.1399) 

U 
(0.0602) 

A 
(0  0551) 

U 
(0.0833) 

U 
(0  0653) 

A 
(0  0980) 

U 
(0  0258) 

A 
(0.0262) 

U 
(0.0302) 

A 

U 

U 
(0  0486) 

B 
(1.0756) 

U 
(0.0459) 


14  59 

3.15 

1  77 

20  57 

4  63 

0  79 

0  63 

2  14 

1.66 

9.07 

1  80 

0 

0 

1  94 

0 

0 

7  61 

1  44 

4  12 

0.42 

7.63 

16  37 

3.15 

2.09 

22.71 

4  63 

0  79 

063 

2.14 

1.66 

9.07 

1.80 

0 

0 

1  94 

0 

0 

8.03 

2.20 

4  12 

0.42 

18  53 

0  36 

0 

0 

0 
0 
0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 

0 
0 
3.09 

0.70 

4.36 


{Continued  next  page) 
Vol.  12,  No.  I.June  1978 


11 


TABLE  1  (continued).  Chlorinated  pesticide  burdens  in  Florida  birds  of  prey,  1969-76 

Residues,  ppm  Wet  Weight 


Tissue  ^  and 

Sex/ 

Sample 

Age  ' 

Weight,  g 

p.p'-DDE 


XDDT 


DiELDRIN 


FALCO  SPARVERWS  (AMERICAN  KESTREL) 


Pinellas  ' 


B 

(1.1574) 

U 

(0  0486) 

B 
(12114) 

A 
(0.0790) 

U 
(0  0505) 


0.30 

2  06 
1  03 
0 
0 


0.74 

2  06 
1,03 
0 
0 


0.82 

1  03 
0.37 
0 
0 


TYTO  ALBA  (BARN  OWL) 


May  76 


A 
(0.9538) 

U 
(2.1913) 

U 
(0  3550) 


8  28 
1.31 
0 


9.27 
1.31 
0 


1  68 

0 

0 


OTVS  ASIO  (SCREECH  OWL) 


Levy 


Indian  Riv 
Pinellas  > 
Pinellas  ' 


Sepl.  73 


May  75 
Jan  76 
May  76 


F 

A 

6  19 

(1.1317) 

U 

1    17 

(0.I20I) 

UNK 

A 
(0.3585) 

0,26 

U 

0 

(0  1454) 

UNK 

A 
(0  6573) 

0  30 

U 

3  48 

(0  1435) 

UNK 

U 
(0.0378) 

10  58 

M 

U 
(0  0502) 

49.80 

M 

U 
(0  0748) 

1  34 

6.19 

1  17 
U  26 
0 

0  30 
3  48 
10  58 
49,80 
1.34 


BUBO  VIRGINIANVS  (GREAT  HORNED  OWL) 


Diiie 
Maruin 


Dec.  75 

May  76 


UNK 

A 

(3.0278) 

2  06 

U 

8  24 

(0  6823) 

F 

A 
(0  6460) 

5  42 

U 

3  28 

(0.7466) 

UNK 

U 

(0  4400) 

17.05 

MF 

A 
(0  2821) 

9  75 

U 

0  81 

(0  5537) 

3  59 

8  68 

9  21 

4  28 
17  05 
12  05 

0  81 


0.08 
0 

3  02 
0  47 
0 

6  20 
0 


STRIX  VARIA  (BARRED  OWL) 


Alachua 
Alachua 


Apr.  73 

May  74 
Dec  75 


UNK 


A 

(1.5201) 

U 
(0.7385) 

U 
(0  5460) 

A 
(0  22S6) 

U 
(0.5321) 

A 
(O.II83) 

U 
(0  6588) 

A 
(0.1830) 

U 
(0.5843) 


5  76 
5  08 
74.18 
1  09 
0.37 
7.61 
I  44 
1  09 
0  73 


6  90 

5  69 

75  93 

1  09 
0.37 
8.03 

2  20 
1  09 
0,73 


0,21 

0  14 

0 

0 

0,40 

0 

0 

0 

0 


'  M~ftdull  male.  F=idult  female,  AD=  adult  of  undetermined  sex,  UNK  =  bird  of  unknown  sex  or  age,  JUV=  juvenile,  IM  =  immature.  Sex  of  juvenile  and  immature  birds  was 

not  always  recorded 
'  Tissue  abbreviations   A  =  adipose  tissue.  U~uropygial  gland.  Bahrain 
^  Birds  that  reportedly  died  in  captivity  and  exhibited  convulsions 


12 


Pesticides  Monitoring  Journal 


always  perfectly  uniform  because  birds  were  obtained  in 
different  ways  by  different  persons,  and  it  was  frequently 
inconvenient  or  impossible  to  take  samples  of  brain,  fat, 
and  the  uropygial  gland  from  every  bird.  Furthermore,  due 
to  its  relatively  superficial  position,  the  uropygial  gland 
was  sometimes  damaged,  and  quite  often  a  specimen  was 
so  lean  that  no  fat  could  be  found  for  pesticide  analysis. 

Even  so,  a  number  of  important  features  emerge  from  the 
data  in  Table  1.  All  taxa  (family,  genus,  and  species)  had 
some  birds  containing  p,p' -DDE  or  other  DDT  metabolite. 
Dieldrin,  on  the  other  hand,  was  not  present  in  all  taxa.  Of 
the  71  birds,  68  (96  percent)  contained  DDE  but  only  34 
(48  percent)  contained  dieldrin  in  at  least  one  of  the  three 
tissues.  In  the  three  tissues  analyzed  93  percent  of  the  fat 
samples  contained  DDE,  100  percent  of  the  brains  con- 
tained DDE,  and  89  percent  of  the  uropygial  glands  con- 
tained DDE.  These  values  indicate  a  nearly  universal  oc- 
currence of  DDE  in  the  birds  studied  and  in  the  three 
tissues  sampled. 

In  the  45  birds  of  prey  in  which  both  adipose  tissue  and 
uropygial  gland  were  analyzed  and  in  which  one  or  both 
samples  contained  DDE,  40  (89  percent)  had  DDE  in  both 
tissues,  3  (7  percent)  had  DDE  in  adipose  tissue  only,  and 
only  2  (4  percent)  had  DDE  in  the  uropygial  gland  alone. 
However,  Figure  1  shows  a  poor  correlation  (/■  =  0.3398) 
of  SDDT,  in  ppm  wet  weight,  between  these  two  tissue 
types.  Of  46  birds,  40  had  higher  concentrations  of  2DDT 
in  the  adipose  tissue  than  in  the  uropygial  gland.  For  the 
species  analyzed,  the  mean  ratio  of  SDDT  in  adipose  tissue 
to  uropygial  gland  was  2.6:1,  a  higher  ratio  than  the  2.2;  I 
reported  by  Johnston  (//)  for  a  sample  of  other  feral 
species  such  as  loons,  cormorants,  herons,  and  gulls. 

Figures  2  and  3  show  SDDT  found,  respectively,  in  the 
adipose  tissue  and  uropygial  gland  through  the  sampling 
period.  In  both  samples,  median  values  were  calculated  for 
all  the  species  in  a  given  year;  these  values  are  indicated  by 


f^ 


OS,. 

5    - 


SOLID   LINE  CONNECTS 
MEDIAN    ANNUAL   VALUES 


FIGURE  2.   ^DDT  in  adipose  tissue  of  Florida  birds  of  prey. 
1971-76 


'^ 


O     * 


::(.: 


1974 
12 


1975 

15 


1976 

14 


>  ? 

Q.   a> 
O  » 

tr  — 

-,  », 


h-  a. 

a  " 
o 


■ 

• 

• 

1=  0.3398 

• 

Y=0.I4X-H.75 

%^ 

• 
m 

• 
• 

.•  •    • 

•  • 

• 
• 

• 

I  DDT   IN  ADIPOSE  TISSUE 
(ppm  wet  weight) 


FIGURE  1 .  Relationship  of  IDDT  in  adipose  tissue 
and  uropygial  gland  in  Florida  birds  of  prey.  1969-76 


FIGURE  3.    XDDT  in  uropygial  glands  of  Florida  birds  of  prey. 
1971-76 


a  solid  line.  The  lines  might  not  indicate  realistic  trends 
because  the  numbers  of  a  given  species  available  for 
analysis  varied  from  year  to  year,  as  indicated  by  raw  data 
in  Table  1 . 


Discussion 

Of  the  14  species  examined  here,  there  is  no  assurance  that 
any  bird  was  a  permanent  resident  where  collected  except 
for  the  caracaras  and  juvenile  osprey.  Any  or  all  the  birds 
might  have  been  transient  or  migratory  at  some  time  during 
their  lives,  so  pesticide  burdens  determined  for  these  birds 


Vol.  12,  No.  1,  June  1978 


13 


were  not  necessarily  accumulated  in  Florida,  but  could 
have  come  from  prey  consumed  on  a  wintering  area  south 
of  the  state,  from  a  breeding  area  in  the  north,  or  in 
intervening  areas  during  migratory  nights.  It  is  likely, 
however,  that  most  of  the  four  owl  species  were  Florida 
residents  because  they  tend  to  migrate  less  than  the  other 
birds  of  prey  studied  here. 

Subspecific  information  was  determined  only  for  the 
American  kestrel.  These  small  falcons  were  all  representa- 
tive of  the  northern  subspecies  ( Faico  s.  sparverius)  which 
migrates  into  Florida  from  the  northern  United  States  and 
winters  in  large  numbers  in  the  state.  The  author  was 
unable  to  obtain  samples  of  the  local  resident  Florida 
subspecies.  F.  s.  pautus.  for  analysis.  Data  on  the  vul- 
tures. Catharles  and  Coragyps.  are  presented  in  Table  I 
and  appear  to  be  the  first  residue  findings  published  on 
these  species. 

Because  vultures  are  terminal  members  of  food  chains, 
they  might  be  expected  to  have  exceptionally  high  DDT 
levels,  but  this  does  not  appear  to  be  true  of  Catharles. 
Only  I  of  10  turkey  vulture  fat  samples  exceeded  10  ppm 
SDDT;  the  mean  was  4.76  ppm.  However,  the  mean  for 
the  fat  of  5  Coragyps  was  10.64  ppm  SDDT;  one  bird  had 
25.43  ppm.  Both  vultures  scavenge  road-killed  animals 
such  as  the  nine-banded  armadillo.  Virginia  opossum, 
dogs,  and  various  smaller  mammals,  birds,  and  reptiles  in 
Florida,  most  of  which  are  nonmigratory.  Why  Coragvps 
should  have  a  higher  mean  burden  of  SDDT  than  do 
Catharles  is  unclear. 

The  Accipiter  hawks,  also  called  bird  hawks,  have  pes- 
ticide burdens  as  high  as  or  higher  than  most  other  species 
studied  (Table  1).  The  small  sample  size  precludes 
generalizations,  but  it  is  noteworthy  that  in  1972  Henny 
reported  that  the  Cooper's  hawk  "is  in  serious  jeopardy  in 
the  northeastern  U.S."  ( 6 ) . 

Some  species  listed  in  Table  1  are  largely  insectivorous 
(5),  namely,  Etanoides  forficutus.  FaIco  sparverius.  and 
Otus  asio.  At  least  three  of  the  14  specimens  of  Falco  had 
SDDT  burdens  exceeding  10  ppm;  one  contained  18.53 
ppm  in  the  uropygial  gland,  and  the  2DDT  burden  in 
adipose  tissue  probably  exceeded  50  ppm.  Two  of  six  Otus 
specimens  had  exceptionally  high  levels  in  their  uropygial 
glands;  10.58  ppm  and  49.80  ppm.  For  this  species,  10 
ppm  DDE  dry  weight  in  the  diet  produced  thin  eggshells 
(13).  Although  dietary  levels  of  DDT  may  not  be  directly 
related  to  levels  in  the  adipose  tissue  or  uropygial  gland,  it 
is  significant  that  5  ppm  DDT  wet  weight  in  the  diet  of 
Falco  sparverius  resulted  in  the  classical  eggshell-thinning 
syndrome  (17).  However,  carcass  (17)  and  breast  muscle 
(8)  analyses  of  dead  or  dying  American  kestrels  in  the 
northern  United  States  had  generally  higher  DDT  burdens 
than  those  found  in  the  present  study  (/).  For  this  species, 
it  is  significant  that  three  individuals  contained  no  DDT  or 
metabolite  (Table  I ). 


Henny  et  al.  presented  data  on  eggshell  thicknesses  and 
populations  of  red-shouldered  hawks  (Buteo  lineatus)  from 
a  refuge  in  Maryland  (7).  The  authors  thought  it  "doubtful 
that  the  relatively  low  pesticide  levels  in  the  eggs  had  a 
detrimental  effect  on  the  reproductive  performance  of  the 
population."  Except  for  a  single  bird  containing  61.76 
ppm  2DDT  and  38.24  ppm  dieldrin.  organochlorine  resi- 
dues in  this  species  were  generally  low  (Table  1 ). 

The  osprey  (Pandion  haliaeius)  was  studied  intensively  in 
the  1960s  because  its  population  had  declined  precipitously 
in  some  areas  (6).  As  with  other  species  discussed  in  this 
paper,  presticide  levels  in  eggs  and  nestlings  have  been 
published  but  data  for  adults  are  scarce.  Wiemeyer  et  al. 
reported  brain  and  carcass  analyses  of  dead  birds  in  Con- 
necticut and  Virginia  (18).  DDE  residues  in  carcasses 
averaged  23  ppm  wet  weight,  generally,  exceeding  the 
levels  in  adipose  tissue  and  uropygial  gland  in  Florida  birds 
reported  here.  Because  different  tissues  were  analyzed,  it 
is  difficult  to  compare  previously  published  data  on  red- 
tailed  hawks  and  great  horned  owls  with  those  reported 
here.  For  three  nestling  red-tailed  hawks,  Seidensticker 
found  an  average  of  21.50  ppm  2DDT  wet  weight,  in 
breast  muscle  (15).  Seidensticker  and  Reynolds  reported 
1.40  ppm  wet  weight  iDDT  in  nestling  red-tail  hawk 
muscle  and  9.29  ppm  XDDT  in  the  muscle  of  a  great 
horned  owl  ( 16). 

Two  generalities  emerge  from  the  data  in  Table  1  and 
Figures  2  and  3.  There  is  no  firm  evidence  for  this  sample 
of  birds  of  prey  from  Florida  that  DDE  and  dieldrin 
burdens  diminished  in  1971-76.  In  both  the  adipose  tissue 
and  uropygial  glands,  the  data  indicate  an  approximate 
average  of  5  ppm  over  the  4-6  year  span.  Small  migratory 
songbirds,  on  the  other  hand,  showed  a  dramatic  decrease 
of  DDE  in  adipose  tissue  from  1964  to  1973  (9,  10).  That 
decrease  was  correlated  with  the  decreased  use  of  DDT  in 
the  United  States  during  the  same  time.  Presumably,  the 
ban  on  DDT  use  in  the  United  States  imposed  by  the  U.S. 
Environmental  Protection  Agency  (EPA)  December  31. 
1972.  should  have  reduced  the  amount  of  DDT  in  natural 
ecosystems.  The  birds  of  prey  studied  here  are  significant, 
especially  those  analyzed  after  1972.  because  a  large  pro- 
portion did  contain  DDT  or  a  metabolite.  How  would  a 
hawk,  owl,  or  vulture  obtain  significant  quantities  of  DDT 
in  1976?  It  is  plausible  that  a  long-lived  bird  could  have 
accumulated  small  pesticide  quantities  for  years  and  simply 
stored  them  in  adipose  tissue.  Unless  these  deposits  were 
totally  depleted  for  energy  resources,  the  pesticides  might 
not  have  been  mobilized  into  the  bird's  bloodstream  or 
eliminated  except  in  very  small  quantities.  The  data  on 
uropygial  glands  presented  in  Table  1  indicate  that  birds  of 
prey  eliminate  smaller  quantities  of  pesticides  through  this 
gland  than  do  other  types  of  birds  (.?.  4). 

A  second  possible  explanation  for  the  DDT  burden  in  birds 
of  prey  after  the  EPA  ban  in  1972  is  that  at  least  eight 
species  analyzed  here  might  have  migrated  to  Florida  from 


14 


Pesticides  Monitoring  Journai 


the  West  Indies  or  Central  America  where  they  could  have 
obtained  DDT-contaminated  foods.  This  is  probably  simi- 
lar to  the  situation  of  the  migratory  American  kestrels 
discussed  by  Lincer  and  Sherburne  {12).  They  suggested 
that  this  species  obtained  pesticide-laden  foods  chiefly 
from  the  wintering  grounds  rather  than  from  nesting  sites 
in  the  northern  United  States.  They  state:  "The  disastrous 
role  played  by  the  far-removed,  but  inordinately  contami- 
nated, winter  prey  once  again  dramatically  points  out  the 
global  nature  of  the  biocide  problem."  Still,  the  presence 
of  DDT  in  tissues  of  the  caracara,  which  is  a  resident  of 
southcentral  Florida,  is  an  enigma. 

Since  1973,  the  SDDT  burdens  in  adipose  tissue  of  two 
species  examined  here,  osprey  and  American  kestrel,  were 
very  low  (0-2  ppm). 


A  cknowledgments 

O.  L.  Austin,  Jr.,  P.  Brodkorb,  R.  L.  Crawford,  D.  J. 
Forrester,  T.  Gilyard,  R.  Heath,  Jr.,  H.  W.  Kale,  II,  S.  A. 
Nesbitt,  and  J.  M.  Whittier  assisted  in  collecting  birds. 
Birds  from  Leon  County,  Florida,  were  provided  by  per- 
sonnel at  the  Tall  Timbers  Research  Station.  I  thank  the 
following  for  help  in  laboratory  analyses:  R.  Bull,  G. 
Cause,  A.  Meylan,  and  M.  Raum.  An  earlier  draft  of  the 
manuscript  was  critically  examined  by  W.  H.  Stickel. 
Illustrations  were  prepared  by  E.  Belcher. 


LITERATURE  CITED 

(1)  Bernard.  R  F.  1962.  Secondary  DDT  poisoning  in  a 
sparrow  hawk.  Auk  79(2):276-277. 

(2)  Cade.    T.    J..    C.    M.    While,    and  J.    R.    Haugh.    1968 
Peregrines  and  pesticides  in  Alaska.   Condor  70(2):  170- 
178. 

(3>  Charnelski.  W.  A.,  and  W.  E.  Stevens.  1974.  Or- 
ganochlorine  insecticide  residues  in  preen  glands  of  ducks; 
possibility  of  residue  excretion.  Bull.  Environ.  Contam. 
Toxicol.  12(6):672-676. 

(4)  Dindal.  D.  L.  1970.  Accumulation  and  excretion  of  CI"' 
DDT  in  mallard  and  lesser  scaup  ducks.  J.  Wildl.  Manage. 
34(l):74-92. 

(5)  Grossman.  M.  L.,  and  J.  Hamlei.  1964.  Birds  of  Prey  of 
the  World.  Chas.  N    Potter,  Inc.  New  York,  NY.  496  pp. 


t6)  Henny.  C.  J.  1972.  An  analysis  of  the  population  dynamics 
of  selected  avian  species,  with  special  references  to 
changes  during  the  modern  pesticide  era  Wildl  Res.  Rep. 
1,  U.S.  Department  of  the  Interior.  Fish  and  Wildlife 
Service,  Bureau  of  Sport  Fisheries  and  Wildlife,  Wash- 
ington, DC. 

(7J  Henny.  C.  J..  F.  C.  Schmid.  E.  M.  Martin,  and  L.  L. 
Hood.  1973.  Territorial  behavior,  pesticides,  and  the 
population  ecology  of  red-shouldered  hawks  in  central 
Maryland.  1943-1971.  Ecology  54(3);545-554. 

(8)  Hickey.  J.  J.  (ed.)  1969.  Peregrine  Falcon  Populations. 
Their  Biology  and  Decline.  Univ.  Wise.  Press,  Madison. 
Wl.  596  pp. 

(9>  Johnston.  D.  W.  1974.  Decline  of  DDT  residues  in  migra- 
tory songbirds.  Science  186  (4166):841 -842 

(10)  Johnston.  D  W.  1975.  Organochlorine  pesticide  residues 
in  small  migratory  birds.  1964-73.  Pestic.  Monit.  J. 
9(2):79-88. 

(11)  Johnston.  D.  W.  1976  Organochlorine  pesticide  residues 
in  uropygial  glands  and  adipose  tissue  of  wild  birds.  Bull. 
Environ.  Contam.  Toxicol.  16(2):  149-155. 

(12)  Lincer.  J.  L..  and  J .  A.  Sherburne.  1974.  Organochlorines 
in  kestrel  prey:  a  north-south  dichotomy.  J.  Wildl  Man- 
age. 38(3):427-434. 

(13)  McLane.  M.  A.  R..  and  L.  C.  Hall.  1972.  DDE  thins 
screech  owl  eggshells.  Bull.  Environ  Contam.  Toxicol. 
8(2):65-68. 

(14)  Porter.  R.  D..  and  S.  N.  Wiemeyer.  1969.  Dieldrin  and 
DDT:  effects  on  sparrow  hawk  eggshells  and  reproduction. 
Science  165  (3889):  199-200. 

(15)  Seidenslicker,  J.  C.  IV.  1970.  A  biopsy  technique  to 
obtain  tissue  for  pesticide  residue  analysis  from  fal- 
coniform  birds.  Bull.  Environ.  Contam.  Toxicol. 
5(5):443-446. 

(16)  Seidenslicker.  J.  C.  IV.  and  H  V.  Reynolds  III.  1971. 
The  nesting,  reproductive  performance,  and  chlorinated 
hydrocarbon  residues  in  the  red-tailed  hawk  and  great 
horned  owl  in  south-central  Montana  Wilson  Bull. 
83(4):408-418. 

(17)  Wiemeyer.  S.  N..  and  R.  D.  Porter.  1970.  DDE  thins 
eggshells  of  captive  American  kestrels.  Nature  (London) 

227:737-738. 

(18)  Wiemeyer.  S.  N..  P  R.  Spitzer.  W.  C.  Krantz.  T.  G. 
Lamont.  and  E.  Cromartie.  1975.  Effects  of  environmental 
pollutants  on  Connecticut  and  Maryland  ospreys.  J.  Wildl. 
Manage.  39(1):  124-139. 


Vol.  12,  No.  I.June  1978 


15 


Shell  Thinning  and  Pesticide  Residues  in  Texas  Aquatic  Bird  Eggs,  1970 

Kirke  A.  King,'  Edward  L    Flickinger.'  and  Henry  H.  Hildebrand  ' 


ABSTRACT 

Significant  decreases  in  eggshell  ihicliness  were  found  in  15  of 
22  species  of  aquatic  birds  in  Texas  in  1970.  Shell  thickness 
reductions  of  9  to  15  percent  were  found  in  while  pelicans 
(Pelecanus  erylhrorhynchos),  brown  pelicans  (P.  occidentalis), 
and  great  blue  herons  (Ardea  herodias).  DDT  family  compounds 
were  found  in  all  eggs,  and  mean  residues  ranged  from  0.4  ppm 
in  while  ibis  (Eudocimus  albus)  to  2i.2  ppm  in  great  egrets 
(Casmerodius  albus).  IDDT  residues  were  negatively  corre- 
lated with  shell  thickness  in  five  species:  PCBs  were  negatively 
correlated  in  two.  Residues  in  marine  birds  were  generally 
lower  and  more  uniform  than  levels  in  birds  feeding  in  fresh  and 
brackish  water.  DDT  and  dieldrin  residues  were  higher  in  eggs 
from  colonies  near  agricultural  areas  where  these  insecticides 
were  heavily  used:  higher  PCB  residues  were  consistently  as- 
sociated with  urban  and  industrial  areas.  Populations  of  five 
species  have  declined  and  deserve  continued  study:  brown  peli- 
can, reddish  egret  (Dichromanassa  rufescens).  white-faced  ibis 
(Plegadis  chihi),  laughing  gull  (Larus  atricilla),  and  Forster's 
tern  (Sterna  forsteri).  Population  trends  of  four  other  species 
were  undetermined  and  should  he  followed  closelv  in  future 
years 


Introduction 

Eggshell  thinning  has  been  noted  in  a  number  of  declining 
populations  of  fish-eating  birds  in  the  United  States  (2,  6. 
19,  20).  Laboratory  investigations  show  that  the  DDT 
family  compounds.  SDDT,  primarily  DDE.  induce  shell 
thinning  in  some  wild  birds  and  their  eggs  (15.  16.  2H). 
The  recent  decline  in  brown  pelicans,  reddish  egrets,  and 
an  apparent  decline  in  white-faced  ibis  on  the  Texas  Gulf 
Coast  prompted  the  present  study  to  determine  the  extent  of 
eggshell  thinning  and  the  impact  of  pesticide  contamination 
on  these  and  other  fish-eating  birds  breeding  in  Texas.  The 
authors  present  information  on  shell  thickness  changes  and 


*  Pith  and  Wildlife  Service,   U  S     Oepanmenl  ol  (he  Inlenor.   PaluxenI  Wildlife 

Research  Center.  Gulf  CoaM  Field  Slalion.  P  O    Bo»  2iOb.  Victoria.  TX  77901 
'  Department  of  Biology,  Texas  A&i  University,  Kingsville,  TX  78363 


chemical  residues  in  eggs  of  22  species  of  aquatic  birds. 
Sources  of  contamination  and  species  threatened  by  expo- 
sure to  pesticides  are  identified. 


Study  Area  and  Methods 

From  March  through  July  1970.  1,043  eggs  were  collected 
in  30  locations  on  the  Texas  Coast.  One  egg  was  taken 
randomly  from  each  nest  sampled  in  a  pattern  distributed  as 
evenly  as  possible  throughout  each  colony.  Whole  eggs 
were  weighed  and  measured,  wrapped  in  aluminum  foil, 
and  frozen.  Contents  were  later  removed,  stored  in  jars 
prerinsed  with  acetone,  and  immediately  refrozen  until 
analysis.  Five  to  20  eggs  of  each  species  were  analyzed  at 
the  Denver  Wildlife  Research  Center  Laboratory,  Denver, 
Colorado.  Chemical  analyses  were  completed  in  1970  and 
1971.  Except  for  brown  pelican  eggs  which  were  addled, 
only  fresh  eggs  were  analyzed  for  pesticide  residues. 

The  authors  biased  selection  of  eggs  for  chemical  analysis 
by  singling  out  thin-shelled  eggs  from  each  species.  Ran- 
dom samples  of  white-faced  ibis,  black-crowned  night 
heron,  and  Forster's  tern  eggs  were  also  analyzed.  Mercury 
levels  were  determined  in  10  white-faced  ibis  and  10  great 
blue  heron  eggs. 

Organochlorine  residues  and  polychlorinated  biphenyls 
(PCBs)  were  determined  by  using  methods  described  by 
Peterson  et  al.  (25).  The  methods  measure  SDDT,  aldrin, 
dieldrin,  endrin,  heplachlor  epoxide,  and  lindane  at  0.1 
ppm  wet  weight,  and  chlordane  and  toxaphene  at  0.5  ppm 
wet  weight.  PCBs  were  not  separated  from  pesticides  be- 
fore measurement.  When  found.  PCBs  were  identified  on 
two  separate  columns  and  by  visual  comparison  of 
chromatograms  with  standard  Aroclors.  The  PCB  residues 
were  quantitated  by  averaging  peak  responses  and  com- 
paring them  with  Aroclor  1254  standards.  Detection  limit 
of  the  procedure  for  PCBs  was  0.5  ppm.  Mercury  residues 


16 


Pesticides  Monitoring  Journai- 


were  determined  by  using  methods  described  by  Okuno  et 
al.  (24).  No  corrections  were  made  for  possible  moisture 
loss. 

The  authors  compared  shell  thicknesses  of  eggs  collected 
in  1970  with  those  of  museum  eggs  collected  before  wide- 
spread use  of  DDT.  Data  on  white  and  brown  pelican 
eggshells  collected  before  1947  are  from  Anderson  and 
Hickey  (2);  data  on  white-faced  ibis  eggshells  were 
supplied  by  A.  J.  Smith  and  J.  O.  Keith  (personal  com- 
munication. 1971).  All  other  measureinents  of  eggshells 
collected  before  1943  were  obtained  from  the  Western 
Foundation  of  Vertebrate  Zoology,  Los  Angeles.  Califor- 
nia, and  Welder  Wildlife  Foundation.  Sinton.  Texas.  An- 
derson and  Hickey  (/).  showed  that  eggshell  thickness  for 
a  particular  species  varies  significantly  over  broad  geo- 
graphic areas  particularly  with  latitude.  Whenever  possi- 
ble, museum  eggs  from  the  Texas  Coast  and  other  southern 
latitudes  were  selected  for  shell  thickness  measurement. 


Results  and  Discussion 


EGGSHELL  CHANGES 

Fifteen  of  22  species  sampled  showed  a  signficant  negative 
change  in  eggshell  thicknesses  from  their  museum  mean 
(Table  1).  The  species  with  the  greatest  average  thinning 
were  the  white  pelican  (15  percent),  great  blue  heron  (13 
percent),  and  brown  pelican  (11  percent).  No  collapsed 
eggs  were  found  in  the  nests  of  these  species.  Although  the 
average  thinning  of  white-faced  ibis  eggshells  was  only  4 
percent,  numerous  collapsed,  dented,  and  cracked  eggs 
were  found  in  and  around  ibis  nests.  In  1971.  continued 
sampling  showed  that  about  3.5  percent  of  the  white-faced 
ibis  eggs  in  marked  nests  had  denied  or  cracked  shells;  the 
incidence  of  cracked  eggs  of  other  species  was  less  than  I 
percent.  Numerous  field  studies  have  shown  that  eggshell 
thinning  of  less  than  10  percent  seldom  incurs  egg  break- 
age {3.  6,  10).  Egg  loss  becomes  evident  with  thinning  of 
10-15  percent  (19),  and  serious  breakage,  usually  accom- 
panied by  population  decline,  occurs  when  eggshell  thin- 
ning exceeds  15  percent  (2.  20).  The  degree  of  shell  thin- 
ning among  the  white  and  brown  pelicans  and  great  blue 
heron  approaches  thai  found  in  other  populations  in  which 
shell  thinning  adversely  affected  reproduction. 

Average  shell  thinning  was  greatest  in  the  Lower  Laguna 
Madre-Green  Island  region  (Figure  I).  Shell  thickness  did 
not  vary  significantly  among  heronries  sampled  elsewhere 
on  the  Texas  Coast. 


ORGANOCHLORINE  RESIDUES 

Residues  of  2DDT,  primarily  DDE,  were  found  in  all  sam- 
ples. The  highest  averages  were  in  eggs  of  the  great  egret, 
23,2  ppm;  Caspian  tern,  15.1  ppm;  and  laughing  gull,  10.4 
ppm  (Table  2).  SDDT  in  the  eggs  of  the  remaining  species 


TABLE  1.  Eggshell 

changes  of  several  Te. 

Kas  fish-eating 

hirds, 

pre- 1943  and  in 

1970 

Shell  Thickness,  mm 

Change 

Spectes 

Pewod'-' 

No. 

MeAN±SE 

% 

While  Pelican 

pre-IM? 

102 

0,6765:0005 

Petecanus  er\throrh\nchos 

19711 

2S 

O577±00O8' 

-15 

Great  Blue  Heron 

pre- 1943 

32 

0  413*0,005 

Ardfa  herodias 

1970 

74 

O.M9±0,G03' 

-13 

Brown  Pelican 

pre- 1947 

43 

0.557*0,006 

P  occidenialis 

1970 

14 

0  497*0  013' 

-11 

Snowy  Egret 

pre- 1943 

38 

0  241  ±0,003 

Egretta  thula 

1970 

79 

0  220*0,002' 

_9 

Royal  Tern 

pre-1943 

18 

0358*0.004 

Thalnsseus  maximus 

1970 

12 

0,330±0,007' 

_g 

Olivaceous  Cormorant 

pre-1943 

30 

0347*0005 

Phalacrocorax  olivaceus 

1970 

24 

0  323*0,006' 

_7 

Louisiana  Heron 

pre-1943 

31 

O,238±O,0O3 

Hydranassa  tricolor 

1970 

58 

0.225*0  002= 

-5 

Little  Blue  Heron 

pre-1943 

31 

0,243  ±0.002 

Florida  caerulea 

1970 

32 

0, 232*0003'' 

_3 

Great  Egret 

pre-1943 

30 

0295*0,004 

Casmerodtus  alhu.K 

1970 

113 

0  282±O,0O2' 

-4 

White  Ibts 

pre.  1943 

38 

0  363±0  0O4 

Eudocimus  albus 

1970 

48 

0  .347±0,003' 

-4 

White-faced  Ibis 

pre.  1943 

18 

03I2±0,006 

Plegadis  chihi 

1970 

86 

0  301  ±0  002' 

-4 

Blacl(.CTOwned  Night  Heron 

pre-1943 

79 

0  278  ±0  003 

Sychcorax  nycncorm 

1970 

74 

0  266*0  003' 

_4 

Black  Sbmmer 

pre-1943 

28 

0  249*0  0O4 

RyrK-hops  nigra 

1970 

48 

0240±0.002> 

-4 

Oullbilled  Tern 

pre-1943 

31 

0  239±0,002 

Gelochtlidon  nilolica 

1970 

58 

0,231  ±0,002' 

-3 

Laughing  Gull 

pre-1943 

27 

0,270*0,003 

Lan^  alrtctlla 

1970 

65 

0  263*0  002' 

-3 

Sandwich  Tern 

pre-1943 

25 

0  286*0,004 

Sterna  sand\'tcensis 

1970 

19 

0  277±0,005 

-3 

Anhinga 

pre-1943 

31 

0328±0004 

Anhinga  anhinga 

1970 

8 

0,318*0.007 

-3 

Roseate  Spoonbill 

pre-1943 

32 

O426±0.0O8 

.Ajma  ajaja 

1970 

53 

0415*0.004 

-3 

Reddish  Egret 

pre-1943 

47 

0  270*0.002 

Dichroiruinassa  rufexcens 

1970 

54 

0  267±0,003 

-1 

Least  Tern 

pre- 1943 

22 

0  156*0,003 

S  albifront 

1970 

15 

0  154*0,004 

-1 

Foraler's  Tern 

pre-1943 

26 

0,219±0,003 

5  forsten 

1970 

41 

0218±0,003 

0 

Caspian  Tem 

pre-1943 

15 

0  336*0,005 

S  caspta 

1970 

32 

0  339±0,0O3 

-t-l 

'  Pre- 1947  while  and  brown  pelican  data  are  from  Anderson  and  Hickey  (2), 

•  All  pre-1943  eggs  are  from  the  Texas  Coast  except  white  pelican,  western  United 

Slates;    black. crowned    night    heron,    South   Carolina,    Florida,    and    California; 

snowy  egret,  little  blue  heron,  great  egret,  and  anhinga.  Gulf  Coast.  Florida,  and 

South  Carolina 
';><0  001  (Student's  /-test). 
'p<0  01 
'p<0,05 


ranged  from  0.4  ppm  in  white  ibis  to  9.7  ppm  in  black 
skimmer.  Consistently  higher  levels  of  2DDT  and  the 
greatest  amount  of  shell  thinning  were  found  in  eggs  from 
the  lower  coast  near  the  intensively  cultivated  Rio  Grande 
Valley.  iDDT  compounds  were  found  in  eggs  of  species 
that  feed  in  all  habitats:  freshwater,  brackish,  and  marine. 

Dieldrin  residues,  found  in  14  species,  were  highest  in  the 
snowy  egret,  white-faced  ibis,  and  great  egret  (Table  2), 
species  that  feed  primarily  in  freshwater  and  brackish 
marshes.  Little  dieldrin  was  found  in  eggs  of  ocean-feeding 
birds  such  as  brown  pelican,  royal  tern,  and  Sandwich  tern. 
Greatest  dieldrin  residues  were  in  eggs  from  colonies  adja- 
cent to  the  Texas  rice  belt  where  aldrin  had  often  been  used 
to  treat  rice  seed. 


Vol.  12,  No.  I,  June  1978 


17 


-RIO    GRANDE 


RGURE   1     Location  of  colonies  of  wading  birds  sampled  for 
eggshell  thinning,  Texas  Gulf  Coast — 1970 

PCB  residues  were  found  in  all  but  two  species;  highest 
levels  occurred  in  the  olivaceous  cormorant,  Caspian, 
Forster's,  and  royal  terns  (Table  2).  Except  for  the  royal 
tern,  these  birds  feed  most  frequently  in  freshwater  and 
estuarine  areas.  The  colonies  associated  with  highest  PCB 
contamination  are  Vingtun  Island  near  the  sprawling 
urban-industrial  complex  of  Houston-Baytown,  Texas,  and 
Dressing  Point,  south  of  Freeport,  Texas;  both  areas  have 
numerous  oil  refineries  and  petrochemical  plants. 

Insecticide  and  PCB  residues  in  marine  birds  were  gener- 
ally lower  and  more  uniform  than  levels  in  birds  feeding  in 
freshwater  and  brackish  habitats.  iDDT  and  dieldrin  resi- 
dues were  higher  in  eggs  from  colonies  near  agricultural 
areas  where  insecticides  were  heavily  used.  Higher  PCBs 
were  consistently  associated  with  urban  and  industrial 
areas. 


RESIDUl-  CORRKI.ATIONS  WITH  hOCSHEl.l.  THICKNESS 

SDDT  or  DDE  was  negatively  correlated  with  shell  thick 
ness  for  the  great  blue  heron  {r  =  -0.66;  p  <  0.01), 
white-faced  ibis  (r  =  -0.64;  p  <  0.01),  gull-billed  tern 
(r  =  -0.936;  p  <  0.02),  reddish  egret  (r  =  -0.74; 
p  <  0.05),  and  brown  pelican  (r  =  -0.61;  p  <  0.05). 
PCB  residues  were  negatively  correlated  only  for  the  red- 
dish egret  (r  =  -0.72;  p  <  0.05)  and  the  brown  pelican 
(r  =  -0.53;  p  <  O.I);  no  correlation  was  found  between 

18 


any  of  the  remaining  insecticide  residues  and  eggshell 
thickness. 

Other  insecticides  and  industrial  pollutants  may  affect  shell 
thickness  because  many  pollutants  are  capable  of  altering 
food  chain  composition,  ecosystem  energy  flow,  and  ulti- 
mately the  bioenergetics  of  individual  populations  of  birds. 
The  many  environmental  factors  and  physiological  proc- 
esses that  result  in  eggshell  thinning  are  not  well  under- 
stood. However,  the  chemical  pollutant  most  frequently 
identified  with  shell  thinning  is  DDE.  The  authors'  data 
support  the  findings  of  others  who  have  reported  that  DDE 
is  the  principal  agent  correlated  with  eggshell  thinning  in 
wild  birds  (J,  7,  16.  26). 


SOURCES  OF  CONTAMINATION 

This  study  indicates  that  DDE  and  dieldrin  levels  detected 
in  egg  samples  are  related  to  food  habits  of  adult  birds. 
Flickinger  and  King  (/2)  found  wet-weight  residues  of 
iDDT  from  0.2  to  1.6  ppm  and  dieldrin  from  0.4  to  2.8 
ppm  in  three  species  of  freshwater  fish  that  are  commonly 
consumed  by  fish-eating  birds.  Maximum  SDDT  residues 
of  9.3  ppm  were  found  in  menhaden  [Brevooriiu  sp.)  and 
6.4  ppm  in  anchovies  (Anchoa  sp.)  collected  from  1967 
through  1969  from  rivers,  bays,  and  estuaries  in  Texas  (9). 
Potential  effects  of  these  residue  levels  in  food  items  are 
evident  from  results  of  other  studies  showing  that  3^  ppm 
wet-weight  DDE  in  the  diet  will  cause  eggshell  thinning  in 
certain  species  of  birds  (16.  22.  23.  30). 

DDT  was  found  in  the  eggs  of  six  species;  great  egret, 
white-faced  ibis.  Sandwich  tern,  least  tern,  gull-billed  tern, 
and  roseate  spoonbill.  Low  DDT  residues,  less  than  0.8 
ppm,  were  found  in  all  roseate  spoonbill  eggs.  Frequency 
of  contamination  in  the  other  five  species  ranged  from  4 
percent  in  the  white-faced  ibis  to  40  percent  (two  eggs)  in 
the  Sandwich  tern.  The  highest  DDT  residue  found  was  1 .3 
ppm  in  a  Sandwich  tern  egg.  Local  contamination  through 
the  food  chain  is  possible  since  DDT  residues  have  been 
found  in  a  pooled  sample  of  76  sailfin  molly  {Poecilici 
lalipinna)  and  in  crawfish  (Procambarus  clurki),  two 
common  foods  of  aquatic  birds  in  Texas  (12).  Birds  mig- 
rating to  Mexico  have  been  contaminated  also  since  DDT 
still  was  widely  used  there  in  1970.  DDT  residues  occurred 
in  all  five  species  that  regularly  migrate  to  Mexico:  roseate 
spoonbill,  white-faced  ibis,  snowy  egret.  Sandwich  tern, 
and  least  tern. 


SIGNIFICANCE  OF  RESIDUES 

DOE — DDE-induced  shell  thinning  has  been  summarized 
for  numerous  birds  (2.  2«).  Residues  in  eggs  reported  in 
the  present  study  are  comparable  to  levels  found  in  wild 
populations  that  have  experienced  reproductive  failures. 
Some  laboratory  studies  indicate  that  harmful  effects  other 
than  shell  thinning  are  possible  Longcore  (22)  found  re- 
duced survival  of  ducklings  (Anas  ruhripes)  hatched  trom 


Pesticides  Monitoring  Journal 


TABLE  2.  Insecticide  and  PCB  residues  in  eggs  of  Texas  wading  birds,  1970 


Mean  Resioues±SE  Wet  Weight 


Speoes 


IDDT  ' 


DiELDMN 


PCBs 


Lipid.  % 


Great  Egret 

Caspian  Tern 

Laughing  Gutl 

Black  Skimmer 

Least  Tern 

Louisiana  Heron 

Olivaceous  Cormorant 

Great  Blue  Heron 

White-faced  Ibis 

Gull-billed  Tern 

Royal  Tern 

Roseate  Spoonbill 

Snowy  Egret 

Brown  Pelican 

Reddish  Egret 

Black-crowned  Night  Heron 

Forster's  Tern 

White  Pelican 

Little  Blue  Heron 

Sandwich  Tern 

White  Ibis 


10 
10 
10 
5 
5 
5 
5 
20 
16 
10 
5 
10 
10 
II 
10 
10 
10 
5 
5 
5 
5 


23.24±3.61 
I5.13±2.25 
10  35±3  90 
9  68±3  02 
6  94±3.52 
5  50±2  17 
6  22±2  08 
5.55*1.05 
5.33±2.92 
4  89±2.73 
4  28±0  88 
3,85±0,88 
3  26±l.30 
3  23±0.20 
2  52*0.60 
I  76*0  58 
1  74±0  20 
1  38±0  30 
1  20±0.75 
1  12±0  36 
0  41±0-12 


0  63*0.14 
(10) 
ND 

0  52±0.34 
(5) 
ND 

ND 

0  16*0  12 

(2) 
0  30 

(1) 
0.14*0.09 

(i) 

0.8I±0.22 

(12) 

0  18*0  15 

(•<) 
ND 

TR 

(2) 

1  06±0  67 

(S) 
ND 

ND 

TR 

«) 
0.47 
(/> 
ND 

0  12*0.05 

(4) 
0  72 

(I) 

TR 

(5) 


16  50*4  51 

(10) 

3  00±2 

13 

(2) 

5.40±1 

89 

(5) 

2.60*0.81 

(•«) 

2  40*0.81 

(4) 

32  00*5 

83 

(S) 

5  54*1 

02 

120) 

3  00*2 

13 

(«) 

1.25±0.33 

(6) 

11  60±2  84 

(5) 

2.10*0.28 

(10) 

2.03±l 

24 

(7) 

9.73*1 

38 

(10) 

1  50*0  29 

UO) 

ND 

12  50±4 

76 

(7) 

0  98*0,97 

(5) 

1  40*0 

37 

(5) 

1.40*0.24 

(5) 

ND 

5  6 

8.5 
10  6 
110 
17,2 
8.5 
4.7 
5.4 
6,2 
9  3 
12.7 
5.4 

6  2 

4  8 

5  9 
5.4 
9.1- 
4  7 
6.5 

15  2 
110 


NOTE:  ND  =  not  detected    TR  =  trace 

Numbers  in  parentheses  represent  number  of  eggs  with  residues, 

'  IDDT  residues  found  in  all  eggs  sampled 


eggs  of  hens  which  had  consumetJ  food  treated  with  10 
ppm  and  30  ppm  DDE.  Haegele  and  Hudson  (15)  also  re- 
ported increased  mortality  of  young  and  reduced  clutch 
size  in  ring  doves  (Slreptopelia  risoria)  fed  40  ppm  DDE. 
DDE  fed  at  10  ppm  and  40  ppm  to  mallards  (.Anas 
platyrhynchos)  reduced  hatching  of  eggs,  although  survival 
of  hatchlings  to  14  days  was  unaffected  {16). 


nificantly  lower  in  eggs  of  hens  that  received  dieldrin 
through  the  egg.  Dieldrin  above  1  ppm  in  the  eggs  of 
golden  eagles  (AquiUi  chrysaetos)  may  cause  reproductive 
problems  (28),  and  dieldrin  residues  of  0.54  ppm  are  lethal 
to  brown  pelican  embryos  (7).  In  view  of  the  great  varia- 
tion in  toxicity  of  dieldrin  to  different  wildlife  species,  egg 
residues  greater  than  1  ppm  must  be  viewed  as  hazardous. 


Dieldrin — Dieldrin  levels  found  in  the  present  study  are 
lower  than  those  reported  in  several  studies  investigating 
reproductive  success  and  survival  of  young  birds.  Fowler 
et  al.  (U)  reported  normal  hatching  success  of  purple  gal- 
linule  {Porphyrula  niw-tinica)  and  common  gallinule 
{GalUiuda  chloropus)  eggs  containing  average  dieldrin 
residues  of  3.8-17.5  ppm.  Pheasants  (.Phasianus  col- 
chicus).  fed  varying  amounts  of  dieldrin.  showed  no  ef- 
fects on  fertility,  hatching,  or  survival  associated  with  yolk 
fresidues  of  up  to  52  ppm  (4).  Dieldrin  residues  in  whole 
eggs  would  normally  average  about  26  ppm.  Chickens  fed 
up  to  5  ppm  dieldrin  showed  no  effects  on  clutch  size, 
hatching,  or  survival  of  young  associated  with  egg  residues 
,of  4-5  ppm  (14).  In  contrast,  Baxter  et  al.  (5)  found 
[second-generation  effects;  fertility  and  hatching  were  sig- 


PCBs — Laboratory  experiments  indicate  that  PCB  levels 
found  in  the  present  study  do  not  reflect  acute  exposure  of 
fish-eating  birds,  but  results  of  reproductive  studies  are  not 
so  conclusive  (17,  26).  One  important  consideration  is  the 
wide  range  in  species  sensitivity  to  PCBs;  Heath  et  al.  (17) 
found  a  fourfold  difference  in  sensitivity  between  two  gal- 
linaceous species.  The  complex  problems  associated  with 
the  wide  range  of  sensitivity  to  PCBs  and  the  varying 
toxicities  of  different  Aroclors  were  reviewed  by  Stendell 
(27).  These  differences  emphasize  the  difficulties  in 
drawing  conclusions  about  the  meaning  of  residues  in  eggs 
of  fish-eating  birds.  But  al  least  five  species  in  this  study 
have  sufficiently  high  egg  levels  of  PCBs  to  warrant  addi- 
tional research;  olivaceous  cormorant,  Caspian  tern,  Fors- 
ter's tern,  royal  tern,  and  brown  pelican. 


Vol.  12,  No.  I.June  1978 


19 


Mercury — A  pooled  sample  of  30  while-faced  ibis  eggs 
contained  0.18  ppm  wei-weighl  mercury,  and  10  great  blue 
heron  eggs  averaged  0.30  ppm.  Fimreite  ( // )  reported  sig- 
nificanlly  lowered  hatching  success  in  pheasant  eggs  con- 
taining 0.5-1.5  ppm  mercury,  and  Borg  et  al.  (iS)  found 
similar  effects  at  levels  of  1.3-2.0  ppm.  However.  Heinz 
{18)  found  no  significant  effects  on  mallard  reproduction 
associated  with  egg  residue  levels  of  1 .0  ppm.  Herring  gull 
iLtinis  arficnuitus)  chicks  hatched  from  each  of  24 
clutches  that  contained  mercury  between  0.5  ppm  and  2.0 
ppm  (29).  Thus  it  seems  unlikely  that  mercury  residues  in 
white-faced  ibis  and  great  blue  heron  eggs  were  high 
enough  to  affect  reproduction  adversely. 

White-faced  ibis  eggs  were  expected  to  contain  high  mer- 
cury residues  because  ibis  feed  in  flooded  rice  fields  where 
mercury-based  fungicides  were  used  on  seed,  but  levels 
were  low  compared  with  those  found  in  other  studies  dS'. 
//,  /S.  29).  Great  blue  heron  feed  in  various  freshwater  and 
brackish  habitats  and  had  slightly  but  not  significantly 
greater  mercury  residues  than  had  ibis.  This  indicates  that 
mercury  is  found  throughout  the  coastal  environment,  at 
least  in  feeding  areas  of  both  species  in  the  Texas  rice  belt. 


THREATENED  SPECIES 

One  objective  of  the  present  study  was  to  identify  popu- 
lations possibly  threatened  by  pesticide  contamination. 
On  the  basis  of  recent  population  trends,  residue  levels, 
and  shell  thinning,  the  authors  believe  that  the  brown 
pelican,  white-faced  ibis,  reddish  egret,  laughing  gull, 
and  Forster"s  tern  warrant  immediate  attention.  Popula- 
tions of  white  pelican,  olivaceous  cormorant,  great  blue 
heron,  and  great  egret  showed  weak  or  undetermined 
population  trends  and  should  be  watched  closely  in  future 
years.  Results  of  a  Texas  brown  pelican  study  were  re- 
cently published  (21)  and  ibis  data  are  being  prepared  for 
publication. 


(3)  Anderson.  D.  W..  J.  J.  Hickew  R  W.  Risebrough.  D.  F. 
Hughes,  and  R.  E.  Chrisiensen.  /y6y  Significance  of 
chlorinated  hydrocarbon  residues  to  breeding  pelicans  and 
cormorants.  Can    Field-Nat.  83{2):9I-1  12. 

(4)  Atkins.  T.  D..  and  R  L  Under  1967.  Effects  of  dieldrin 
on  reproduction  of  penned  hen  pheasants.  J.  Wildl.  Man- 
age. .■(!(4):746-753- 

{5)  Baxler.  W.  l...  R.  L.  Under,  and  R.  W.  Dahlgren.  1969. 
Dieldrin  effects  on  two  generations  of  penned  hen  pheas- 
ants, J    Wildl    Manage,  33(I);96-I02, 

t6)  Bius.  L  J  1970.  Measurements  of  brown  pelican 
eggshells  from  Florida  and  South  Carolina,  BioScience 
20(I5):867~869. 

(7)  Blus.  L.  J..  B  S.  Neely.  Jr..  A.  A.  Belisle.  and  R  M. 
Prouty.  1974.  Organochlorine  residues  in  brown  pelican 
eggs;  relation  to  reproductive  success.  Environ.  Pollut. 
7:81-91. 

(Sj  Borg,  K..  H  Wannlhrop.  K.  Erne,  and  E.  Hanko.  1969. 
Alkyl  mercury  poisoning  in  terrestrial  Swedish  wildlife. 
Vellrevy  6(4):301-379. 

(9)  Childress.  R,  1970.  Levels  of  concentration  and  incidence 
of  various  pesticide  residues  in  Texas.  Texas  Parks  and 
Wildlife  Dept.,  58  pp  ,  Unpublished  report. 

ilO)  Coulter.  M.  C.  and  R  W.  Risebrough.  1973.  Shell- 
thinning  in  eggs  of  the  ashy  petrel  (Oceanodrama  homo- 
chroa)  from  the  Farallon  Islands   Condor  75(2);254-255. 

(//)  Fimreite.  N.  1971.  Effects  of  dietary  methylmercury  on 
ring-necked  pheasants.  Canadian  Wildlife  Service,  37  pp. 
Occasional  Paper  No   9 

(12)  Flickinger.  E.  L  .  and  K  ,A  King.  1972.  Some  effects  of 
aldrin  treated  rice  seed  on  Gulf  Coast  wildlife  J,  Wildl. 
Manage,  36(3):706-727, 

(13)  Fowler.  J.  F..  L  D.  Newsome.  J.  B.  Graves.  F.  L. 
Bonner,  and  P  E  Schilling.  1971 .  Effects  of  dieldrin  on 
egg  hatchability,  chick  survival,  and  eggshell  thickness  in 
purple  and  common  gallinules  Bull  Environ  Contam. 
Toxicol,  6(6):495-501 


Acknowledgment 

The  authors  thank  Robert  E.  White,  Iwao  Okuno,  Dennis 
L.  Meeker,  and  Ronald  E.  Powers  of  the  Chemical  Re- 
search and  Analytical  Section,  Denver  Wildlife  Research 
Center,  for  chemical  residue  analyses.  They  express  ap- 
preciation to  Lawrence  J.  Blus,  Eric  G.  Bolen,  James  O. 
Keith,  Lowell  C.  McEwen,  and  Donald  H.  White  for 
manuscript  review. 

LITERATURE  CITED 

(1)  Anderson.  D  W..  and  J  J  Hiikey  1970.  Oological  data 
on  egg  and  breeding  characteristics  of  brown  pelicans. 
Wilson  Bull    82(1)14-28 

(2)  Anderson.  D.  W..  and  J  J.  Hickev  1972.  Eggshell 
changes  in  certain  North  American  birds.  Pages  514-540 
in  K.  H.  Voous,  ed.,  Proc  XVth  Inter  Ornithol.  Congr. 
E   J    Brill.  Leiden,  The  Netherlands 


(14)  Graves.  J  B..  F  L  Bonner.  W  F  McKnight.  A.  B 
Watts,  and  E.  A.  Epps  1969  Residues  in  eggs,  preening 
glands,  liver,  and  muscle  from  feeding  dieldrin  contami- 
nated rice  bran  to  hens  and  its  effect  on  egg  production, 
egg  hatch,  and  chick  survival.  Bull.  Environ.  Contam. 
Toxicol,  4(6):375-383. 

(15)  Haegele.  M.  A  .  and  R.  E  Hudson  1973.  DDE  effects  on 
reproduction  of  ring  doves    Environ.  Pollut.  4:53-57. 

(16)  Heath.  R  G  .  J  W.  Spann.  and  J.  F  Kreitzer.  1969. 
Marked  DDE  impairment  of  mallard  reproduction  in  con- 
trolled studies.  Nature  224(52l4):47-48. 

(17)  Heath.  R.  G  .  J  W  Spann.  J  F  Kreitzer.  and  C  Vance. 
1972.  Effects  of  polychlorinaled  biphenyls  on  birds.  Pages 
475-485  in  K.  H.  Voous,  ed.,  Proc  XVth  Inter.  Ornithol. 
Congr.  E.  J.  Brill,  Leiden,  The  Netherlands 

tlS)  Heinz,  G.  1974.  Effects  of  low  dietary  levels  of  methyl 
mercury  on  mallard  reproduction.  Bull  Environ  Contam. 
Toxicol.  I  l(4):386-392. 


20 


Pesticides  Monitoring  Journai 


(19)  Hickey.  J  J.,  and  D  W.  Anderson.  1968.  Chlorinated 
hydrocarbons  and  eggshell  changes  in  raptorial  and  fish- 
eating  birds.  Science  162(3850):271-273- 

(20)  Keith.  J.  O..  L  A.  Woods,  and  E.  G.  Hunt.  1970. 
Reproductive  failure  in  brown  pelicans  on  the  Pacific 
Coast.  Trans.  N.  A.  Wildl.  Nat.  Res.  Conf.  35:56-64. 

(21)  King.  K.  A..  E  L  Flickinger.  and  H  H  Hihiehrand. 
1977 .  The  decline  of  brown  pelicans  on  the  Louisiana  and 
Texas  Gulf  Coast.  Southwest  Nat.  21(4):417-431 . 

(22)  Longcore,  J.  R  .  F  B  Samson,  and  T.  W.  Whitiendale. 
Jr.  1971.  DDE  thins  eggshells  and  lowers  reproductive 
success  of  captive  black  ducks.  Bull.  Environ.  Contam. 
Toxicol.  8(2):65-68. 

(23)  McLane.  M.  A.  R..  and  L  C  Hall.  1972.  DDE  thins 
screech  owl  eggshells.  Bull  Environ.  Contam  Toxicol. 
8(2):65-68 

(24)  Okuno.  /.,  R.  A.  Wilson,  and  R.  E  White.  1972.  Determi- 
nation of  mercury  in  biological  samples  by  flameless 
atomic  absorption  after  combustion  and  mercury-silver 
amalgamation.  J    Assoc.  Off   Anal.  Chem    55(  1  ):96-IOO. 


(25)  Peterson.  J.  E..  K.  M.  Slahl.  and  D  L.  Meeker.  1976. 
Simplified  extraction  and  cleanup  for  determining  or- 
ganochlorine  pesticides  in  small  biological  samples.  Bull. 
Environ    Contam.  Toxicol.  15(2);  135-139. 

(26)  Risebrough.  R.  W..  and  D  W.  Anderson.  1975.  Some 
effects  of  DDE  and  PCB  on  mallards  and  their  eggs.  J. 
Wildl.  Manage    39(3):508-5l3. 

(27)  Stendell.  R.  C.  1975.  Summary  of  recent  information 
regarding  effects  of  PCBs  on  birds  and  mammals  Proc. 
Nat.  Conf.  PCBs,  U.S.  Environmental  Protection  Agency. 
EPA-560/6-75-004,  Chicago,  IL,  pp.  262-267 

(2S)  Stickel.  L.  F.  1973.  Pesticide  residues  in  birds  and  mam- 
mals. Pages  254-312  in  C.  A  Edwards,  ed..  Environ- 
mental Pollution  by  Pesticides,  Plenum  Press,  London  and 
New  York 

(29)  Vermeer.  K  1971 .  A  survey  of  mercury  residues  in  aquatic 
bird  eggs  in  the  Canadian  Prairie  Provinces.  Trans.  N.  A. 
Wildl.  Nat.  Res.  Conf.  36:138-150. 

(30)  Wiemeyer.  S.  N..  and  R.  D.  Porter  1970.  DDT  thins 
eggshells  of  captive  American  Kestrels.  Nature 
227(5259):737-738. 


Vol.  12.  No.  I.June  1978 


21 


Organochlorine  Insecticide  and  Polychlorinated  Biphenyl  Residues 
in  Woodcock  Wings,  1971-72 

M.  Anne  R.  McLane,'  Eugene  H.  Dustman,'  Eldon  R.  Clark,'  and  Donald  L.  Hughes  ■* 


ABSTRACT 

Pesticide  residues  in  wings  of  adult  woodcock  (Philohela  minor) 
were  used  to  monitor  regional  differences  in  a  1970-71  survey 
of  DDT.  DDE.  TDE.  dieldrin.  mirex,  and  PCBs  in  Maine.  New 
Hampshire .  New  York,  New  Jersey.  Pennsylvania.  North 
Carolina.  South  Carolina,  Georgia,  Lousiana.  Michigan,  and 
Wisconsin.  In  1971-72,  wings  were  sampled  again  to  compare 
levels  of  organochlorine  insecticide  residues  with  those  of  the 
previous  survey  and  to  delineate  differences  in  residue  values 
between  adult  and  immaiure  woodcock.  Three  additional  states. 
Massachusetts.  Minnesota,  and  Vermont,  and  one  additional 
organochlorine  insecticide,  heptuchlor  epoxide,  were  included 
in  the  second  survey . 

Residue  levels  in  the  197 1  -72  wings  showed  the  same  pattern  as 
thai  observed  in  1970-71:  organochlorine  insecticide  residues 
were  highest  in  wings  collected  in  the  southern  states  and  in 
New  Jersey;  residues  were  lowest  in  samplings  taken  in  the 
northern  and  midwestern  stales  Residues  of  DDT.  TDE,  and 
dieldrin  in  the  1971-72  wings  were  slightly  lower  than  those 
found  in  1970-71 .  DDE.  PCB.  and  mirex  residues  were  signifi- 
cantly lower  (P<0.05.  P<O.OI.  and  P<0.01.  respectively)  in 
1971-72.  Wings  of  immature  woodcock  in  Louisiana  had  sig- 
nificantly lower  (P  <0.05)  mirex  residues  than  did  adult  wings. 


Introduction 

The  woodcock  is  well  suited  for  monitoring  environmental 
pollutants  because  it  is  a  migratory  upland  game  bird  dis- 
tributed throughout  the  eastern  United  States  from  the  Mis- 
sissippi River  to  the  Atlantic  Ocean  and  from  Michigan  to 
Florida.  Personnel  from  the  Fish  and  Wildlife  Service, 
U.S.  Department  of  the  Interior,  monitor  reproductive  suc- 
cess of  woodcock  by  annually  inspecting  wings  submitted 


'  Filh  tnd  Wildlife  Service.  US     DepinmenI  of  (he  Interior.   Pacuxeni  Wildlife 

Resetrch  Center.  Laurel.  MD  20III 
'  Route  2.  Boi  170.  Eveteii.  PA  15537 
>  22  Hunion  St  .  Calais.  ME  (M6I9 
*  WARF   Institute,   Inc.    (now   Raltech   Scientific   Services.    Inc  },    Madison.    Wl 

53701 


by  cooperating  hunters.  Thus  wings  are  in  ample  quantity 
tor  other  studies.  The  same  wings  can  be  used  to  assess 
quantities  of  pollutants  which  the  birds  have  acquired, 
largely  from  their  food.  The  woodcock  occurs  near  or  at 
the  top  of  a  terrestrial  food  chain  and  subsists  on  animal 
material,  primarily  earthworms  (7,  10).  Earthworms  con- 
centrate an  array  of  persistent  environmental  pollutants  in 
their  tissues  and  are  important  in  the  diets  of  a  number  of 
avian  species  (2,  3.  4.  5.  6). 

Woodcock  wings  were  first  monitored  for  environmental 
pollutants  in  1970-71.  Regional  differences  were  clearly 
demonstrated  and  baseline  measurements  were  obtained  for 
later  comparisons  (8).  An  expanded  sampling  of  wings  was 
undertaken  in  1971-72  to  compare  residues  with  those 
found  in  1970-71,  and  to  determine  whether  residues  in 
the  wings  of  adult  and  immature  woodcock  differed.  This 
paper  reports  the  findings  of  the  1971-72  survey . 


Methods 

Wings  were  collected  in  15  states:  Connecticut,  Georgia, 
Louisiana,  Maine,  Massachusetts,  Michigan,  Minnesota, 
New  Hampshire.  New  Jersey,  New  York.  North  Carolina, 
Pennsylvania,  South  Carolina,  Vermont,  and  Wisconsin. 
These  states  provided  a  suitable  geographic  distribution 
and  offered  the  best  chance  for  collecting  adequate  num- 
bers of  wings.  Because  wings  from  North  Carolina.  South 
Carolina,  and  Georgia  were  too  few  to  provide  a  sample 
from  each  state,  the  wings  from  these  states  were  combined 
into  one  tri-state  area  sample.  Wings  from  adult  and  im- 
mature woodcock  from  each  state  and  from  the  tri-state 
area  were  sorted  into  groups  of  25.  Five  of  these  groups 
from  each  state  and  five  from  the  tri-state  area  were 
randomly  selected  for  analysis. 

Wings  were  plucked  and  the  distal  joint  was  removed.  The 
part   remaining   was   ground    in   a   hand   grinder   and 


22 


Pesticides  Monitoring  Journai 


homogenized  with  the  group  of  25  which  made  up  the 
complete  sample.  A  20-g  aliquot  was  taken  for  analysis. 

Organochlorine  pesticides  and  polychlorinated  biphenyls 
(PCBs)  were  determined  at  WARF  Institute,  Inc..  Madi- 
son, Wisconsin,  by  the  following  procedures: 

The  20-g  aliquot  was  dried  at  40°  C  for  96-120  hours,  and 
then  ground  with  sodium  sulfate  and  extracted  for  8  hours 
on  a  Soxhlet  extractor  with  105  ml  of  ethyl  ether  and  250 
ml  of  petroleum  ether.  The  extract  was  concentrated  on  a 
steam  bath  and  diluted  to  50  ml  with  petroleum  ether.  A 
10-ml  aliquot  of  the  extract  was  cleaned  and  separated  into 
two  fractions  by  elulion  through  a  Florisil  column  with 
mixtures  of  ethyl  ether  and  petroleum  ether  (5-1-95  and 
15 -(-85).  An  aliquot  of  the  final  elation  was  passed  through 
a  standardized  silicic  acid  column  as  described  by  Armour 
and  Burke  (J). 


Temperatures: 

Carrier  gas: 

Chromatograph: 
Column: 

Temperatures: 

Carrier  gas: 


injector  225°  C 
column  205°  C 
detector  245°  C 

purified  nitrogen  fllowing  at 
80  ml/minute 

Barber-Coleman  Model  500U 

4-ft  X  4-mm  glass,  packed 
with  3  percent  OV-17  on 
100-120-mesh  Gas-Chrom  Q 

injector  215°  C 
column  200°  C 
detector  250°  C 

purified  nitrogen  flowing  at  80 
ml/minute 


The  sensitivity  level  of  this  method  was  0.05  ppm  or- 
ganochlorine pesticide  and  0.10  ppm  PCBs  on  a  lipid 
basis.  Recovery  for  organochlorine  pesticides  ranged  be- 
tween 80  and  95  percent,  and  PCB  recoveries  ranged  be- 
tween 75  and  85  percent.  None  of  the  residue  data  has  been 
adjusted  for  rates  of  recovery. 


The  pesticides  and  PCBs  were  determined  by  electron- 
capture  gas  chromatography  under  the  following  condi- 
tions: 


Chromatograph: 
Column: 


Barber-Coleman  Model  5360 
Pesticide  Analyzer 

4-ft  X  3-mm  glass,  packed 
with  5  percent  DC-200  on 
80- 100- mesh  Gas-Chrom  Q 


Results  and  Discussion 

Table  1  shows  the  ranges  and  the  means  as  ppm  lipid 
weight  for  DDT,  DDE,  TDE,  PCBs,  dieldrin,  mirex,  and 
heptachlor  epoxide  residues  in  adult  woodcock  wings  from 
12  states  and  the  tri-state  area  arranged  in  approximate 
geographic  order  from  south  to  north.   DDT  and  its 


State 


TABLE  1 .  Ranges  and  geometric  means  of  organochlorine  insecticide  residues  in  adult  woodcock  wings 
from  15  easternlmidweslern  states.  1971-72 

REStDUES,  PPM  Lipid  Weight 

Heptachlor 
DDT  DDE  TDE  PCB  DtELDRtN  MiREX  Epoxide 


Louisiana 

Tri-slate  area 

New  Jersey 

Pennsylvania 

Connecticut 

New  York 

Massachusetts 

New  Hampshire 

Vermont 

Maine 

Michigan 

Wisconsin 

Minnesota 


1.88-5  45 

2  74 

2.35-11   12 
5  90 

3,27-8,20 
4  90 

0  29-1  37 

0  60 

1  28-5  61 

2  36 

0,29-2,87 

1  12 

0,51-5  41 

2  16 

0,68-8,47 
1  92 

0,25-0  67 
1,36 

0.36-0  94 
0,77 

0.24-0  68 
0,50 

ND-0  18 
0,10 

0  16-0.47 
0  30 


5  74-13,09 
9  20 

6  99-27,00 

18  69 

10  11-25  80 
16  96 

2,11-4,71 
3  59 

3,38-7.12 
6  23 

4  16-13  07 

6  32 

8,28-22  65 
15,63 

5  96-11  56 

8  47 

2  63-3  57 
3,33 

3.24-7,20 
5  13 

2  28-6  96 
3  53 

2,60-4  23 
3  15 

1   12-3  34 
1,74 


0  52-1  40 

0  91 

0  64-2  02 

1  42 

0  76-2,34 
1  25 

ND-0  17 
0,03 

0  16-0,65 
0  35 

0,14-0  26 
0  19 

0  11-073 
0  33 

ND-0  47 
0,31 

0  07-0  13 
0,12 

0  06-0  25 
0,18 

0  06-0  32 
0,18 


1  65-4  10 
2.21 

2,63-4  22 
3,24 

1.97-4,04 
2,92 

0  94-2  07 

1  39 

1  52-4.38 

2  66 

1,37-1,84 
1  60 

4  03-9,58 
5  84 

1  44-1,90 
1  69 

1,54-2  02 
1.75 

0  96-1  26 

1   12 

1  02-2  21 

1  39 

0,46-1,22 
0.77 

ND-0  48 
0  08 


1.27-5  56 
1.90 

1,22-4  04 
1  88 

0  27-0  77 
0  43 

0,12-2.99 
0  30 

0  12-1.12 
0,36 

0,15-0.21 
0.18 

0.05-0,91 
0  15 

0.14-0.59 
0  27 

0,08-0  II 
0,09 

0,06-0,12 
0,08 

0  07-0,11 
0  09 

0,09-0,82 
0,18 

0.05-0,06 
0,05 


4,70-8,49 
5  20 

I  66-5  27 
3   14 

ND-2  12 
0  58 

0,24-0  78 
0  48 

ND-0, 38 
0,50 

0  28-0,96 
0,54 

ND-0, 91 

0  24 

ND-0  92 
0.45 

0,24-1.25 
0,54 

0.34-1  44 
0,87 

0.59-5  01 
1,34 

ND-1  78 
0  85 

ND-0. 74 
0,21 


0,52-1   13 
0  70 

0  21-1  48 
0  58 

ND 

ND 


ND 
ND 
ND 


NOTE   Tn-state  area  =  North  Carolina,  South  Carolina,  and  Georgii 
ND  =  not  detected. 

Vol.  12,  No.  1,  June  1978 


.  Wings  from  three  slates  were  combined  because  not  enough  were  available  from  any  one  state 


23 


metabolites  are  distributed  in  a  similar  pattern:  geometric 
means  of  DDT  and  its  metabolites  were  highest  in  the  tri- 
state  area  (DDT.  5  90  ppm;  DDb,  18.69  ppm;  TDE,  1.42 
ppm)  and  second  highest  in  New  Jersey  (DDT,  4.90  ppm; 
DDE.  16.96  ppm;  TDE.  1.25  ppm).  Differences  in  con- 
taminant residues  levels  were  determined  by  one-way  anal- 
ysis of  variance  with  Duncan's  multiple  range  test.  Aver- 
age TDE  residues  in  woodcock  wings  from  the  tri-state 
area  and  New  Jersey  were  significantly  higher  {P<0.01) 
for  the  tri-state  area  than  for  all  other  states  except  New 
Jersey.  Massachusetts,  and  Louisiana.  The  average  level  of 
DDE  was  significantly  lower  (/'<0.01)  for  Minnesota  than 
for  all  other  states. 

The  average  PCB  residue  in  woodcock  wings  (5.84  ppm) 
was  significantly  higher  (P<0.01)  for  Massachusetts  than 
for  all  other  states:  PCBs  in  wings  were  higher  (P<0.01) 
for  the  tri-state  area  than  for  all  other  states  except  New 
Jersey,  Connecticut,  and  Louisiana.  The  average  PCB  level 
was  significantly  lower  (P<0.01)  in  Minnesota  than  in  all 
other  states. 

Average  dieldrin  residues  in  wings  from  Louisiana  and  the 
tri-state  area  (1.90  ppm  and  1.88  ppm,  respectively)  were 
significantly  higher  than  those  in  all  other  states.  Min- 
nesota had  the  lowest  average  residues  (0.05  ppm). 

Heptachlor  epoxide  residues  were  found  in  adult  wings  in 
only  two  areas:  Louisiana  and  the  tri-state  area.  These  two 
areas  were  included  in  the  fire  ant  {Solenopsis  saevissima) 
eradication  program  which  used  heptachlor  in  the  1950s. 
Mirex  was  substituted  for  heptachlor  in  the  early  1960s. 
Heptachlor  epoxide  residues  found  in  adult  wings  from 
Louisiana  ranged  from  0.52  to  1.13  ppm:  the  geometric 
mean  was  0.70  ppm.  Residues  in  adult  wings  from  the 
tri-state  area  ranged  from  0.21  to  1.48  ppm:  the  geometric 
mean  was  0.58  ppm. 

Woodcock  wings  from  the  two  southern  areas,  Louisiana 
and  the  tri-state  area,  had  consistently  higher  or- 
ganochlorine  residues  other  than  PCBs.  PCB  residues  were 
highest  in  Massachusetts  and  second  highest  in  the  south- 
ern  areas.    Wings   from   Minnesota   had   the   lowest   or- 


ganochlorine  residues  except  for  DDT.  Wisconsin  had  the 
lowest  DDT  residues:  Minnesota  had  the  second  lowest. 

Eleven  of  the  13  states,  including  those  in  the  tri-state 
area,  were  sampled  in  both  1970-71  and  1971-72  (Table 
2).  Generally,  residues  were  lower  in  the  second  sampling 
period.  DDE,  mirex,  and  PCB  residues  were  significantly 
lower  in  1971-72  than  in  1970-71  (P<0.05,  P<0.01, 
and  P<0.01,  respectively). 

The  relationship  of  residue  levels  among  states  for  the  two 
years  was  tested  by  a  two-way  analysis  of  variance  (Table 
3).  Residues  in  both  sampling  periods  were  consistently 
highest  in  the  southern  states  and  in  New  Jersey.  Residues 
were  lowest  in  the  northern  and  midwestern  states. 

Table  4  shows  ranges  and  geometric  means  of  or- 
ganochlorine  insecticide  residues  found  in  immature  wood- 
cock wings.  Immature  wing  residues  follow  the  same  pat- 
tern as  residues  in  adult  wings  in  all  but  three  instances. 
Mirex  residues  were  higher  in  immature  wings  from  the 
tri-state  area  than  in  immature  wings  from  Louisiana.  Av- 
erage PCB  residues  in  immature  wings  were  lowest  in  New 
Jersey,  Louisiana,  and  the  tri-state  area:  this  is  the  opposite 
order  of  residues  in  adult  wings.  Heptachlor  epoxide  resi- 
dues were  found  in  adult  and  immature  wings  from 
Louisiana  and  the  tri-state  area:  heptachlor  epoxide  was 
also  found  in  two  pools  of  immature  woodcock  wings  from 
New  Jersey. 


TABLE  2.  Geometric  means  of  organochlorinaled  insecticide 

residues  in  woodcock  wings  from  easternlmidweslern  states, 

1970-71  and  1971-72 


GeoM-  Mean 

PPM 

Lipid 

Weight 

Residue 

1970-71 

1971-72 

DDT 

1.48 

1.26 

DDE  ' 

8.79 

6  82 

TDE 

1.41 

1  42 

Dieldrin 

0.31 

131 

Mirex  ' 

1.54 

1  09 

PCB  = 

5.58 

1.64 

NOTE;   See  Table  3  for  list  of  slates  sampled. 
'Significani  al/'<0  05 
'■  Significani  al  P  <0  01 


TABLE  3.  Comparison  of  organochlorine  insecticide  residues  in  adull  woodcock  wings,  1970-71  and  1971-72 


State 


Geoim.  Mean  of  Residues,  ppm  Lipid  Weight 


DDE 

DDT 

TDE 

PCB 

[)lELDiUN 

Mirex 

4  7ld 

078de 

0  19c 

2  18c 

008b 

1.04c 

7  58cd 

1  6lcd 

0  25c 

3  08bc 

0  19b 

063c 

5  92cd 

0.77de 

0  15c 

3  27b 

0  19b 

1  04c 

4  07d 

0  70de 

0  lie 

2  51bc 

0  17b 

046c 

16  01«b 

5.15ab 

081b 

4  16a 

0  53ab 

0  63c 

28  56a 

9  19a 

2.27a 

5  24a 

2.25a 

3  lib 

1083bc 

2  33bc 

066b 

3  36b 

I98> 

1025a 

4.65d 

0.63e 

0.16c 

2  43bc 

0.15b 

1.39c 

5.05d 

033e 

0.51c 

2.14c 

O.lSb 

I.Otc 

Maine 

New  Hampshire 

New  York 

Penrnylvania 

New  Jertey 

Tnsiatc  area  ' 

Louisiana 

Michigan 

Wiiconsin 


NOTE.  VaJue^  with  the  \8me  letter  are  not  significantly  difTercni 
'  Sec  Table  1  for  cxplanatiDn 


24 


Pesticides  Monitoring  Journ.'M 


TABLE  4.   Ranges  ami  geometric  means  of  organochlorine  insecticide  residues  in  immature  woodcock  wings  from  seven 

easternlmidwestern  states.  ]97l~72 

Residues,  ppm  Lipid  Weight 


Maine 
Michigan 
New  Jersey 
Tri-stale  area  ' 


NOTE:   ND  =  nol  detected 
'See  Table  1  for  explanation 


Heptachlor 

DDT 

DDE 

TDE 

PCB 

DiELDRIN 

MiREX 

Epoxide 

0  51-2.28 

2  56-5  28 

0  16-0  41 

0.75-1.07 

0  06-0.83 

ND 

ND 

1    19 

4.07 

0.25 

0  89 

0  16 

— 

— 

0  46-4.33 

1  90-9.77 

0  12-2.04 

0  95-1  52 

0  07-0.35 

ND 

ND 

0  92 

3   16 

0  23 

1    18 

0  20 

— 

- 

3   10-27  04 

9  40-18,01 

0  46-2  84 

1   93-4  28 

0  61 -1   07 

ND 

ND-0,42 

6  41 

13  64 

1    11 

2.55 

0  88 

- 

0  13 

2  89-18   10 

15  29-47  47 

0  64-4.09 

ND-3  93 

0  76-2  70 

1  80-3  98 

0  26-1   23 

6  82 

26.03 

1  46 

2.04 

1  64 

2  87 

0  51 

1.93-4  01 

7  42-12  53 

0  46-0.95 

1.27-3.68 

1.32-10.20 

1  43-3  72 

0  45-0.96 

2.97 

9  80 

0.72 

2.23 

2.46 

2  48 

0.69 

Mirex  levels  in  wings  of  adult  and  immature  woodcock 
from  Louisiana  are  clearly  different;  the  residues  in  wings 
from  adults  were  significantly  higher  t,P<0.Q5).  Mirex 
residues  in  adult  wings  ranged  from  4.70  to  8.49  ppm:  the 
geometric  mean  was  6.20  ppm.  In  immature  wings,  mirex 
residues  ranged  from  1.43  to  3.72  ppm;  the  geometric 
mean  was  2.48  ppm.  Mirex  residue  levels  from  all  other 
states  were  very  low.  No  significant  difference  in  residue 
levels  were  found  between  adult  and  immature  woodcock 
in  other  states,  nor  among  other  organochlorine  insec- 
ticides. 

The  authors  conclude  that  woodcock  wings  can  be  used  to 
help  determine  the  levels  and  trends  of  a  variety  of  en- 
vironmental pollutants  in  the  eastern  United  States. 
Periodic  assessment  of  residues  in  the  wings  of  this  species 
will  provide  important  monitoring  information  at  nominal 
cost. 


LITERATURE  CITED 

(I)  Armour.  J.  A.,  and  J.  A.  Burke.  1970.  Method  for  separating 
polychlorinated  biphenyls  from  DDT  and  its  analogs.  J. 
Assoc.  Off.  Anal.  Chem'.  5.1(4);761-768. 


(2)  Barker.    R.  J.    1958.    Notes  on   some  ecological  effects  of 
DDT  sprayed  on  elms.  J.  Wildl.  Manage.  22(3):269-274. 

(3)  Boxkins,   E    A.   1966.    DDT  residues  in  the  food  chains  of 
birds.  Ati.  Nat.  21(l):l8-25. 


(4)  Gish.  C  D.  1970.  Organochlorine  insecticide  residues  in 
soils  and  soil  invertebrates  from  agricultural  lands.  Pestic. 
Monit.  J.  3(4):24I-252. 

(5)  Korschgeii.  L.  J.  1967.  Soil-food  chain-peslicide  wildlife 
relationships.  Missouri  Pesticide  Studies,  Federal  Aid  Proj- 
ect 13-R-21.  Missouri  Department  of  Conservation.  Jeffer- 
son City,  MO 


(6)  Krohn.  W.  B.  1970.  Woodcock  feeding  habits  as  related  to 
summer  field  usage  in  central  Maine.  J.  Wildl.  Manage. 
34(4);769-775. 


(7)  McLane.  M.A.R..  L.  F.  Slicket.  E.  R.  Clark,  ami  D.  O. 
Hughes.  1973.  Organochlorine  residues  in  woodcock  wings. 
1 1  states— 1970-71.  Pestic.  Monit.  J.  7(2);IOO-103. 


{8}  Sheldon,    W .   G    1967 .   The  book  of  American  woodcock. 
University  of  Massachusetts  Press,  Amherst,  MA,  p.  227. 


Vol.  12,  No.  1,  June  1978 


25 


Chlorinated  Hydrocarbons  and  Mercury  in  Birds  of  Lake  P'dij'dnne,  Finland — 1972-74^ 

Jukka  Sarkka,-  Marja-Liisa  Hattula,^  Jorma  Janatuinen.-  Jaakko  Paasiviria,'  and  Rislo  Palokangas- 


ABSTRACT 

The  levels  of  mercury,  PCBs,  DDT  and  its  analogs,  lindane, 
and  dieldrin  were  examined  in  aquatic  birds  nesting  on  the 
shores  of  Lake  P'aifanne,  the  second  largest  lake  in  Finland, 
which  is  polluted  hy  a  wood-processing  industry  and  urban 
sewages.  The  primary  food  of  the  10  species  examined  was  fish. 
In  muscle  of  about  350  individuals,  the  highest  average  residues 
were  PCBs:  in  livers,  mercury  was  the  highest  Lindane  was 
found  in  some  individuals:  dieldrin  appeared  in  none.  The 
differences  among  levels  in  1972,  1973,  and  1974  were  not 
significant.  Some  regional  differences  were  found,  particularly 
for  mercury.  Some  PCB  contamination  was  observed  near  the 
town  of  Jyvaskyla.  DDT  was  distributed  evenly.  A  stronger 
correlation  existed  between  residues  of  PCBs  and  DDT  than 
between  residues  of  any  other  compounds .  In  some  gulls,  males 
had  higher  average  residues  than  had  females.  The  DDT:PCB 
ratio  generally  corresponded  to  that  of  the  North  Atlantic 
Ocean,  hut  the  difference  among  species  was  great.  Higher 
mercury.  PCB,  and  DDT  values  existed  in  adults  than  in 
juveniles:  higher  mercury  values  existed  in  livers  than  in  mus- 
cles. Black-throated  divers  had  highest  mercury  residues:  in 
herring  gulls.  PCBs  and  DDT  were  highest.  The  levels  gener- 
ally correspond  to  those  found  in  other  studies. 

Introduction 

Authors  undertook  the  present  study  to  discover  the  levels 
of  chlorinated  hydrocarbons  and  mercury  in  the  aquatic 
birds  of  Lake  P'aij'anne,  Finland.  Simultaneously,  the 
methods  of  chemical  analysis  and  the  chemical  structures 
of  the  compounds  were  developed.  Data  on  the  birds  were 
collected  by  the  University  of  Jyvaskyla  as  part  of  a 
monitoring  study  of  the  chlorinated  hydrocarbons  and  mer- 
cury in  the  food  webs  of  Lake  Faij'anne,  in  which  residues 
were  analyzed  in  the  higher  aquatic  plants,  plankton,  bot- 
tom fauna,  sediment,  fishes,  and  aquatic  birds. 


Adults  and  juvenile  birds  were  analyzed  separately. 
Juveniles  were  birds  of  the  same  summer,  ranging  in  age 
from  a  few  days  to  several  weeks.  Muscle  and  liver  tissues 
were  analyzed  separately. 

Concentrations  of  different  residues  were  analyzed  ac- 
cording to  age,  location  on  the  lake,  and  species.  Attention 
was  also  paid  to  the  differences  between  and  ratios  of 
residues  in  liver  and  muscle,  and  to  the  correlations  of 
different  residues  to  muscle:liver  ratios,  differences  of 
residue  load  between  the  sexes,  and  the  1DDT:PCB  ratios. 
The  significances  of  the  differences  were  statistically 
tested. 


Sampling  and  Collection 

Lake  Faij'anne.  the  second  largest  lake  of  Finland  (1100 
km-),  has  been  the  object  of  limnological  investigations 
since  1968  (32).  It  receives  waste  principally  from  the 
three  origins  shown  in  Figure  1.  The  sulphite  and  sulphate 
pulp  mill  wastes  of  A'anekoski  come  from  the  north  in  the 
upper  part  of  the  watercourse,  approximately  40  km  up- 
stream from  Lake  Faij'anne.  Wastes  are  also  discharged 
into  the  northern  part  of  the  lake  from  the  town  of  Jyv'as- 
kyl'a  via  Lake  Jyv'asjarvi  (station  1);  these  effluents  contain 
urban  sewages  and  paper  mill  wastes.  The  third  source  of 
wastes  is  in  the  center  of  the  lake  near  station  4,  which 
receives  effluents  from  a  sulphite  pulp  mill  and  two  paper 
mills  of  Jamsa,  as  well  as  a  minor  amount  of  domestic 
waste.  At  the  northern  end  of  the  lake,  the  content  of 
human  sewages  is  greater  than  in  the  center  which  is 
contaminated  almost  exclusively  by  the  wood-processing 
industry.  When  flowing  from  the  north  to  the  center  (sta- 
tion 3),  the  water  becomes  cleaner.  Water  extending  from 
the  central  part  of  the  lake  (station  4)  to  the  southern  part 
(station  6)  is  quite  clean. 


Study  supported  by  a  grant  from  the  Academy  of  Finland.  Helsinki 
'  Dcpanment  of  Biology,  University  of  Jyvaskyri,  SI-40I0U  Jyvaskyfa  10.  Finland 
'  Oepinmenl  of  Chctnislry.    University   of  Jyvaskyla.   SF-40100  Jyvaskyla    10. 

Finland. 


The  main  sampling  sites  of  the  study  were  stations  1,  4,  5, 
and  6.  From  stations  2  and  3,  a  few  birds  were  obtained  for 
supplementary   study.    Station    I    is   polluted   by   domestic 


26 


Pesticides  MoNiroRiNc  Journal 


AANEKOSKI 

Pulp   mills 


Paper 
mill  Mai  n     inflow 

JTVASKYLA,/ 

Town       JP       ^  M 


1  "  O    SampI  in  g 

Stat  ions 
^        Inflows 


FIGURE  1.   Lake  Paijdnne  with  sampling  stations. 


birds  were  conserved  by  freezing  in  plastic  bags  which  did 
not  contain  PCBs. 

Species  analyzed  were  black-throated  diver  {Gavia  arclica 
L),  great  crested  grebe  (Podiceps  cristatus  L.),  goldeneye 
(BucephaUi  clangula  L.),  redbreasted  merganser  (  Mergus 
serrator  L.),  sandpiper  (Tringa  hypoleucos  L),  lesser 
black-backed  gull  (Larns  fuscus  L.),  herring  gull  (Larus 
argentatus  L.),  common  gull  (Larus  canus  L.),  black- 
headed  gull  (Larus  ridibundus  L),  and  common  tern 
(Sterna  hirundo  L.). 

Species  were  chosen  to  represent  aquatic  birds,  especially 
those  which  feed  at  Lake  Paijanne  in  the  summer.  This  is 
why  such  species  as  mallard  (Anus  platyrhynchos)  and 
other  common  game  birds  were  not  sampled.  All  species, 
however,  are  migratory,  spending  only  about  one  third  of 
the  year  in  Finland. 

The  number  of  birds  analyzed  for  total  mercury  was  344; 
for  methyl  .nercury,  32;  and  for  chlorinated  hydrocarbons, 
301. 


Analytical  Procedures 

CHLORINATED  HYDROCARBONS 

The  frozen  sample  was  thawed  and  5-10  g  breast  muscle  or 
liver  was  weighed.  The  sample  was  ground  in  a  mortar 
with  acid-washed  sand  (Merck)  and  anhydrous  sodium 
sulphate,  4  g  of  the  latter  for  each  gram  of  wet  tissue.  The 
homogenized  mixture  was  transferred  to  a  glass  container 
and  dried  at  room  temperature  for  48  hours. 

The  extraction  was  performed  by  Soxhiet  in  thimbles 
which  had  been  washed  ultrasonically  in  a  1:1  mixture  of 
acetone  and  diethyl  alcohol.  The  homogenate  was  trans- 
ferred to  the  thimble  and  extracted  for  6  hours  in  a  mixture 
of  diethyl  ether,  petroleum  ether  (boiling  point  40°-60° 
C),  n-hexane,  and  acetone  in  quantities  of  1:9:2,  5:5,  5 
(v/v).  All  solvents  were  pesticide  analytical  (pa.)  grade 
and  redistilled.  This  solvent  system  has  been  statistically 
proved  to  be  the  most  effective  for  extracting  animal  tissue 
{14). 


sewages  and  paper  mill  effluents.  Until  1968,  effluents 
from  the  paper  mills  and  the  Aanekoski  pulp  mills  con- 
tained mercury  originating  from  slime-preventing  chemi- 
cals (12).  Water  at  stations  2  and  3  gradually  becomes 
cleaner  as  it  moves  south.  Water  at  station  4  is  affected  by 
a  wood-processing  industry  whose  effluents  contained 
mercury  until  1968.  Water  at  station  5  becomes  cleaner  as 
it  approaches  station  6,  which  is  almost  limnologically 
pure  (28). 

Adult  birds  were  collected  by  shooting  and  young  birds 
were  caught  live.  No  individuals  were  found  dead.  The 
adults  were  all  caught  after  eggs  had  been  laid.  The  whole 


The  extracted  fat  was  weighed  and  cleaned  by  the  follow- 
ing methods:  shaking  with  concentrated  sulphuric  acid  (2), 
thin-layer  chromatography  (75),  and  a  column  chromatog- 
raphic method  (16).  In  routine  analyses,  if  extracted  fat 
exceeded  20  mg,  it  was  made  into  a  I  percent  solution  in 
n-hexane  and  divided  into  halves.  One  half  was  shaken 
with  concentrated  sulphuric  acid  for  determining  total 
PCBs,  lindane,  and  DDE.  The  residues  were  extracted  in 
hexane  which  was  ready  for  gas  chromatography.  The 
hexane  was  shaken  again  with  chromic  acid  for  determin- 
ing DDE  (35).  The  second  half  was  applied  on  a  thin-layer 
plate  for  determining  TDE,  DDT,  dieldrin,  and  endrin. 
When  extracted  fat  was   10  mg  or  less,  thin-layer 


Vol.  12,  No.  I.June  1978 


27 


chromatography  was  the  only  cleanup  method  used.  The 
column  chromatographic  method  was  used  mainly  for 
analyzing  bird  material  because  residues  were  greater  than 
in  the  rest  of  the  samples  and  required  dilution  from  10  mg 
fat.  which  is  the  maximum  amount  accommodated  by  the 
column,  (0  10  ml  fat  for  proper  gas  chromatography.  The 
cleanup  methods  have  been  tested  to  determine  the  highest 
values  of  the  chlorinated  hydrocarbons  per  fresh  weight  of 
tissue  (  /5).  The  highest  value  of  PCBs  is  the  only  recovery 
criterion  available  at  present.  The  sulphuric  acid  cleanup 
produced  a  statisfactory  measurement  of  PCBs  in  a  fat 
reference  sample  of  the  Organization  for  Economic  Coop- 
eration and  Development  (OECD). 

The  equipment  used  in  determining  the  residues  was  a 
Varian  Model  600  D  gas  chromatograph  with  an  H' 
electron-capture  detector.  The  length  of  the  glass  column 
was  1.5  m  and  the  inside  diameter  was  1.5  mm.  In  the 
routine  analyses  the  column  filling  was  a  mixture  of  65 
parts  of  8  percent  QF-I  and  35  parts  of  4  percent  SF-96  on 
Chromosorb  W  100-120  mesh.  Occasionally  SF-96  on 
Chromosorb  W  100-120  mesh  was  also  used  for  control 
purposes.  The  carrier  gas  was  nitrogen  (99.999  percent). 
The  column  temperature  was  180°  C,  the  detector  and 
injector  were  190°  and  225°  C.  respectively. 

The  following  pesticide  standards,  all  100  percent  pure. 
were  used:  aldrin.  p.p'-TDE,  p,p'-DDE,  p,p'-DDT, 
o.p'-DDT,  dieldrin,  endrin,  and  lindane.  The  PCB  stand- 
ard was  Clophen  A  60  by  Bayer  because  the  PCB  contami- 
nation in  Finland  had  been  statistically  tested  and  proved  to 
be  that  type  (13).  The  final  concentration  in  chromato- 
graphing  was  10  ng/ml  for  pesticides  and  100  ng/ml  for  the 
PCBs.  The  calculation  was  carried  out  as  described  by 
Gaul  (10)  and  the  PCBs  were  calculated  by  summing  nine 
peaks  (total  13  peaks)  which  did  not  interfere  with  the 
pesticides.  Injection  of  50  pg  pesticides  or  500  pg  PCBs 
produced  peak  heights  of  approximately  50  percent  of 
full-scale  deflection. 

TOTAL  MERCURY 

Total  mercury  was  determined  by  cold  vapor  atomic  ab- 
sorption using  a  Coleman  MAS-50  mercury  analyzer.  A 
sample  of  0.5-1  g  was  homogenized  in  an  Erienmeyer  flask 
with  0.5  ml  water,  and  10  ml  concentrated  sulphuric  acid 
was  added  while  the  flask  was  kepi  in  an  ice  bath.  The 
flask  was  then  covered  with  plastic  film  and  kept  in  a  60° 
C  water  bath  for  4  hours.  After  cooling.  15  ml  6  percent 
solution  of  KMnOj  was  added  from  a  buret,  the  bottle  was 
kept  in  an  ice  bath  and  shaken  well,  and  the  sample  was 
diluted  to  100  ml.  To  reduce  mercury  II  ions  to  mercury 
metal.  2  ml  20  percent  hydroxylamine  hydrochloride  and  I 
ml  stannous  chloride  (40  percent  solution  in  5  percent 
sulphuric  acid)  were  added  and  the  measurement  was  taken 
immediately.  The  standard  was  HgCI^  and  a  standard  curve 
was  made  daily  after  treating  the  standard  as  described 
above. 


METHYL  MERCURY 

Methyl  mercury  was  identifieil  by  gas  chromatography 
using  the  following  conditions: 

Chromatograph:  Varian  Aerograph  2400 

Deleclor:  H  ^  Irilium 

Column    glass.    18   in   long  and  6  mm  ID.   packed  with    10  pcrcenfCar- 
bowax  20M  on  Chromosorb  W  80-100  mesh 

Temperatures:   column:  140°  C 

injector:  180°  C 

detector:  210°  C 

in  a  Sorvall  Omniinixer.  1-5  g  material  was  homogenized 
in  26  ml  29  percent  KBr.  Then  3.5  ml  47  percent  HBr  that 
had  been  prewashed  with  benzene  was  added  to  the 
homogenate  which  was  then  centrifuged  and  the  liquid  was 
decanted.  The  homogenate  was  treated  again  with  KBr  and 
HBr.  The  liquid  phases  were  combined  in  a  250-mI 
separatory  funnel  and  50  ml  redistilled  benzene  was  added. 
Methylmercury  bromide  was  added  to  the  benzene.  The 
water  phase  was  extracted  again  with  25  ml  benzene  and 
the  extracts  were  combined;  then  8  ml  20  percent  cysteine 
acetate  (dried  with  Na2S04)  was  added  and  the  solution 
was  shaken  to  bind  the  methylmercury  bromide  to  cysteine. 
Five  ml  of  the  water  phase  was  shaken  with  1  ml  47 
percent  HBr  and  10  ml  benzene  to  extract  the  methylmer- 
cury bromide  in  benzene.  The  benzene  phase  was 
chromatographed  and  the  peak  heights  of  the  sample  and 
the  standard  were  calculated.  Injection  of  50  ^g  Hg  as 
methylinercury  bromide  produced  a  peak  height  of  full- 
scale  deflection. 


Results 

Table  1  shows  the  average  levels  of  the  residues  studied  in 
muscles  and  livers  of  both  adult  and  juvenile  birds.  Differ- 
ences among  species,  areas,  and  years  are  not  considered 
in  this  table.  The  table  shows  that  in  muscles,  the  residues 
of  highest  concentration  are  PCBs;  in  the  livers,  mercury 
appears  at  the  highest  levels.  Concentrations  of  TDE  and 
DDT  are  very  small  compared  with  those  of  DDE;  all  three 
are  combined  in  subsequent  tables  as  SDDT.  Lindane  was 
present  in  only  a  few  individuals,  accounting  for  minute 


TABLE  1.   Average  chlorinated  hydrocarbon  and  mercury  con- 

cenrralion.s  In  muscles  and  livers  of  aquatic  birds. 

Lake  Paijanne.  Finland — 1972-74 


Average 

CONCENIRAriON 

mo/kg  Wet 

Weight 

MUSCI  ES 

Livers 

Compound 

Adui  TS 

Juveniles 

Adui  ts 

Juveniles 

Total  Hg 

2.729 

0.777 

7.900 

2,312 

Methyl  Hg 

2  697 

0.275 

— 

— 

PCB 

4  970 

1    135 

5  734 

0,961 

DDE 

J  .173 

0  708 

4  187 

0,821 

TDE 

0.012 

0  000 

0,015 

0,000 

DDT 

0.002 

0,000 

0,007 

0,000 

SDDT 

3  387 

0.708 

4,209 

0,821 

Lindane 

0  002 

0  001 

0  000 

0  000 

Dieldrin 

0  000 

0  000 

0  000 

0,000 

28 


Pesticides  Monitoring  Journal 


residue  averages.  Dieldrin  was  not  present  in  any  indi- 
vidual at  concentrations  above  0.0005  mg/kg  wet  weight. 

The  material  of  each  year  of  study  consists  of  different 
numbers  of  samples  from  different  sampling  areas,  so 
results  for  the  different  years  were  not  compared  with 
parametric  statistical  tests.  The  yearly  differences  of  the 
average  concentrations  of  total  Hg,  PCBs,  and  SDDT  were 


examined  separately  in  different  bird  species  for  the  mus- 
cles and  livers  of  the  adults  and  juveniles,  using  non- 
parametric  Friedman  two-way  analysis  of  variance  or  Wil- 
coxon  matched-pair  signed-rank  tests  {29).  No  significant 
differences  among  the  years  were  observed. 

Tables  2-5  present  the  corresponding  residues  in  birds  at 
different  areas  of  the  lake.  Because  residues  vary  broadly 


TABLE  2.  Average  concentrations  of  total  Hg,  PCBs.  and  XDDT  in  muscles  of  adult  birds.  Lake  Pdifdnne.  Finland 

Stody  are*  1  Am*  2 A«ea  3  Aie*  4  A«e*  5  Ama  6 

Species  Statistic         Ho        PCB      ZDDT       Hg        PCB      iDt)T       Ho        PCB      SDDT      Ho        PCS      SDDT       Ho        PCB      IDDT      Ho        PCB      TDUl 

Residues,  mg/kg  wet  weighl 

Black-lhroaled  diver                 M  —          —          —  _________  |2  80  3,53       5  66  14,57  181  6.81 

SD  0,00  2,88        2  59  0,00  0,37  4.34 

N  13  3  13  3 

Greal  crested  grebe                   M  2  88        3  99        3  74  —          —          —          —          —          —          178        133  3  54  ______ 

SD  1  13        3  11        2  76  0,80        1  02  3  11 

N  8             8             8  4            4  4 

Goldeneye                                 M  —          —           —  ______          o  24       0  22  0  14  —          —          —  —  —          — 

SD  0,06       0  17  0,03 

N  4  3  3 

Merganser                                 M  ___  _          ________  5,48  2,16        1,28  5  42  185  3  22 

SD  0.00  0.00       0.00  141  141  4  36 

N  1113  3  3 

Sandpiper  M  ____________  o,31  0,28       0,71  0,63  3.30  5.41 

SD  0.00  0.00  0.00  0.00  000  000 

N  1  I  1  1  1  I 

Black-backed  gull                     M  3.00       7.97        1  II  3  44       14  32      5  87        2  43         _          _          2  74       3  64  5  22  3  27  7  15        7  02  3,66  5  10  6  60 

SD  0.00       0,00       0  00  124        4.72       193       0,60         _          —          158        3  09  3  79  106  4  91        3  54  1,29  3  29  4.46 

N  1115  5            5             3                                         9             9  9  17  17  17  15  12  12 

Hemnggull                              M  0  10       6  69        I  79  _           _          _          _          _           _          4,00      19  54  20,38  2,80  20  49       6  90  2  97  8,46  6  89 

SD  000       0.00       0,00  125        2  06  2,36  1  10  12  31        5  10  192  5  33  3,92 

Nlll  222555  12  88 

Commongull                            M  2  64       8,98       5.88  2,05        7  16      2  61        3  16       1177      14  29       2  03       4  04  2  41  2  01  3  33  2.58  1,70  3  18  2  40 

SD  0  00       0,00       000  0,15         3  15       2  86       0,00       0,00       0  00         I   15       4  54  2,18  148  2  57  2  41  1,01  3  26  184 

N  1              1              15  5            5              1              1              1           20           20  20  14  14  14  16  16  16 

Black-headed  gull                     M  178       4  67        1  58  2  73        4  89      0  87         _           _           _          0  96       2  28  0,69  1  17  2  60  0  48  _  _  _ 

SD  088       4  17        3  38  1,55        2  53       0,32                                                 0  54       5  84  1,07  0  35  0  14  0,13 

N  17           16           16  4             4            4                                                     18           18  18  2  2             2 

Common  teiT.                            M  3  01        6,18        2,36  2,68        4,53      0.66       5,94         _          _          3  48        2  91  137  4  38  2.92        1,32  5,08  4  27  1.53 

SD  1,60       4,38        5,18  2,19        3,03      0  29       0,51                                    2,28        1,92  150  132  1,52  0,94  1,61  3  92  156 

N  13           12           12  5              5            5             2                                       16           16  16  7  6  6  7  6  6 

NOTE:  See  Figure  1  for  location  of  study  areas, 

M  =  mean.  SD  =  standard  deviation.  N  =  number  of  observations. 

TABLE  3.  Average  concentrations  of  total  Hg,  PCBs,  and  ^DDT  in  muscles  of  juvenile  birds.  Lake  Pdifdnne,  Finland 

Study  Area  1  Area  2  Area  4  Area  5  Area  6 

SPEOES  Statistic  Hg  PCB        IDDT        Ho  PCB        IDDT         Ho  PCB        XDDT        Ho  PCB        XDDT        Ho  PCB        XDDT 

Residues,  mg/kg  wet  weight 

Black-throated  diver                         M  ____________            8.15          —            — 

SD  0.00 

N  1 

Great  creasted  grebe                         M  0  53          1,25         0  30           _            _            _           0.38         0  19         0,11          _            _            _            _            _            _ 

SD  0  19         0.81          0  15                                                         0  12         0  15         0  04 

N  6               3               3                                                               3               2               2 

Goldeneye                                        M  ______            0,07          _            _            024         015         0  16          _            _            — 

SD  0,00  0,00       0  00       000 

N  1111 

Merganser                                        M  ____________1.32        0.18         0.78 

SD  0,48  0,00         0,00 

N  4  11 

Black-backed  gull                            M  198         7  70         4,39  0,87         4,06         0,82           _            _            _            0,92          I  10         0  51          0  69        2.28         5,00 

SD  0  00         0,00         0,00  0,00         0  00         0  00                                                         0,23          1  14         0  44         0,41         2,30         5.31 

N  llllll  733433 

Hemnggull                                     M  0.04         0.67         0.36  _            _            _            0.94         5  44         2,57         0,79         2,97         0,96         0,64        2,85          1,52 

SD  0.00         0,00         0,00  0,00        6,86         3,25         0,00         0,00         0,00         041          2,47         0,84 

N  111  222111              11              33 

Commongull                                   M  145          103         0  40  _            _            _            0  76         0  33         0  13          1,00         0  43        0,51           0,85         1,32         0,59 

SD  000         000         0,00  032         0,00         0,00         0,39         0,51          1,08         0.20        1,90         0,79 

N  111  3               1               1             13             12             12              6             4              4 

Black  headed  gull                            M  0,45         0,52         0,10  _            _            _            0,35         0.36         0,15          ______ 

SD  0  28         0,33         0,05  0,32        0  37          Oil 

N  9               8               8  11              11              II 

Common  tern                                   M  0,50         0.95         0  16  _            _            _            1.12          1.06         0  67         0.34          1.00         0.41          0,45        0,68         0.25 

SD  0.09         0,22         0.04  0,65         0  59         0  62         0.07         0,35         0  12         0,02        0.00         0,00 

N  544  444333222 

NOTE,  See  Figure  1  for  location  of  study  areas, 

M  =  mean.  SD  =  standard  deviation.  N  =  number  of  observations. 


Vol.  12,  No.  1,  June  1978 


29 


TABLE  4.  Average  concentrations  of  total  Hg,  PCBs,  and  IDDT  in  livers  of  adult  birds,  Lake  P'aifanne,  Finland 

Study  aipa  I                     Area  2                          Akea  3                          Aaea  4                            Area  S                        Area  6 

Sncm 

Statistic           He       PCB     ZDDT      Ho       PCB     SDDT      Ho       PCB     SDDT      Ho       PCB     ZDDT      He       PCB     XDDT      Ho       PCB     ZDDT 

BUck-throalcd  diver 

M 

SD 

N 

Great  crusted  grebe 

M 

SD 

N 

Goldeneye 

M 

SD 

N 

Merganser 

M 

SD 

N 

Sandpiper 

M 

SD 

N 

Black-backed  gull 

M 

SD 

N 

Hemng  gull 

M 

SO 

N 

Common  gull 

M 

SD 

N 

Black-headed  gull 

M 

SD 

N 

Common  tern 

M 

SD 

N 

Residues,  mg/kg  wet  weight 

—  —          —          —          —          —           —          —           —           —           —           —        4380       3  79  —  82  33  6.10  24.91 

000  000  000       0.00  000  0.00 

1  I  I             I  II 
562       6.37        5  23        ——          —          —           —           —          60]        282       8,71        _           —  —           —  __ 

2  19       3.99       4.03  2  90        185        7  59 

8  8  8  4  4  4 

—  —          —          —          —          —          —          —          —          2  19       0.30       0  12       200       0  35  0  13        —  —  — 

132       0.05       0.04       0  00       0  00  0  00 
4             3             3             111 

—  —          —          —          —          —          —          —          —          —           —          —        24.00       2  16  128  22  97  180  3.78 

0.00       OOO  OOO       854  0.39  1.93 

I              I  I             3  3  3 

—  —          —          —          —          —          —          —          —          —          —          —          0  38       0  16  0.44        123  0  44  0  25 

000  OOO  0.00  0.00  000  0.00 

1  I  I             I  I  I 

7  20       683        3  19      8  74       1997      1640       8  42       4  60       4  97       7  98       9.39       9.33       9.74       5.91  8.54  10.62  3.72  7.82 

000        OOO       000      209       16  28      10.99       0  78        2  86      3  55        4.36       8.64       6.%       4.10       5.32  5.22  4  35  3.78  6.34 

I             I             15              5             5             3             3             3             9             9            9           17  17  17  15  12  12 

0.21        0.77       2  49        —           —          —          —          —          —        1065      2516      1996       761  1362  6.53  7.39  346  4.48 

0.00       0.00       000                                                                                          361        611        123        2  80       9  87  4  96  511  2  66  3  62 

III  222555  12  55 

6  75       5.33        105      6.29       14  16       5  82      10  00      10  07      10  99       5  65       4.45       4  08       6  17        2  48  2  67  5  36  4  58  3  32 

0  00       0.00       0  00      0  72       13  91        2  87       0  00       0  00       0.00       2.74       3.98       4.75       4.38        3  97  3.36  4.45  4  15  3  73 

1  1              13              5             3             I              I              I           20           19           19            14  14  14  16  16  16 

4  65       6  86        1  II       6  04        4  59       2  34        —           —          —          2  65        2  03       0  66       2  28        2  21  0.65        —  —  — 

2  72       5  17       072      3  51         194       2  21                                                  136        174       0  61        0  74  0  28  0  07 
17           17           17            4              4             4                                                     18           18           18             2             2  2 

7  79       6  19        1  14      6  34       10  35        2  09      13  30       7  10        1  38       8  36       3  87        1  62      15  52       2  62  104  14  6  5  35  1  80 
3.06       4.01        087      468        8  03        127       0  28       0  40       0  26       6.32        2  65        161        9  52        143  0  53  4  32  4  17  192 

13           13           13            5              3             5             2             2             2           16           15           15             7             7  7  7  7  7 


NOTE:  See  Figure  1  for  location  of  study  areas. 

M  =  mean.  SD  =  standard  deviation,  N  =  number  of  observations. 


TABLE  5.  Average  concentrations  of  total  Hg,  PCBs,  and  IDDT  in  livers  of  juvenile  birds.  Lake  P'aifanne,  Finland 


STATtsnc 

Study  area 

1 

AltEA2 

Area4 

Area5 

AREA6 

Sncas 

Ho 

PCB 

XDDT 

Ho 

PCB 

£DDT 

He 

KB 

XDDT 

Ho 

PCB 

IDDT 

Ho 

PCB 

ZDDT 

Residues,  mg/kg  wet  weight 

Black-throated  diver 

M 
SD 

N 
M 

— 

— 

— 

— 

— 

— 

— 

— 

1920 
000 

12.62 
000 

642 
000 

Great  crested  gicbe 

1  00 

1  40 

0.29 







2.21 

071 

3  55 







SD 

0  II 

0.34 

0.10 

0.93 

0.48 

3.31 

N 

2 

2 

2 

3 

3 

3 

GoWcneye 

M 
SD 

N 

0.22 
0.09 

2 

0.24 
003 

2 

0  13 
008 

2 

049 
001 
3 

040 
0  17 
3 

0  30 
036 
3 

Merganser 

M 
SD 

N 

" 

" 

" 

" 

" 

" 

" 

' 

" 

" 

" 

" 

2.78 
063 

2 

1  81 
2.60 

3 

177 
2.70 
3 

Sandp^n 

M 
SD 

N 

~ 

~ 

" 

" 

" 

" 

" 

~ 

~ 

" 

III 
004 

2 

Bkck-bKkedguU 

M 

SD 

N 

M 

— 

— 

— 

2.30 
0.00 

1.91 

0.00 

063 

000 

— 

— 

— 

— 

— 

— 

2  10 
OOO 

— 

— 

Haiiii(giiU 

0.26 

046 

0  14 

'_ 

_ 





1  32 

034 

0  18 

1,77 





SD 

0.00 

0.00 

0.00 

000 

000 

000 

1  64 

N 

1 

1 

1 

1 

1 

1 

5 

M 

— 

— 

— 





— 

3.11 

1  20 

042 

350 

043 

072 

343 

0.96 

0.37 

SD 

1.43 

0.00 

0.00 

1.22 

048 

104 

1  01 

1.33 

0.31 

N 

4 

1 

1 

8 

7 

7 

4 

3 

3 

Black-headed  gull 

M 
SD 

N 

145 
0.77 

4 

058 
036 

4 

0  12 
009 

4 

" 

" 

" 

0.56 
0.48 
6 

0  14 
0.13 
6 

007 
007 
6 

" 

" 

" 

M 
SD 

N 

041 
0.02 
2 

0  15 
0.02 
2 

NOTE:  See  Figure  1  for  location  of  study  areas. 

M^iocan.  SD  =  standard  deviation.  N  =  number  of  observations. 


amont  different  species,  locations,  and  sampling  years,  the 
nonparametric  Friedman  two-way  analysis  of  variance  was 
used  here,  too,  for  comparing  the  different  areas.  In  areas 


I,  4,  S,  and  6  (Figure  I)  and  in  the  black-backed  gull, 
herring  gull,  common  gull,  and  common  tern,  significant 
regional  differences  occurred  with  iDDT  in  the  livers  of 


30 


Pesticides  Monitoring  Journal 


the  adult  birds  but  with  no  other  compounds.  The  greatest 
concentration  of  SDDT  was  in  area  4  and  the  smallest 
concentration  was  in  area  1 . 

Table  6  presents  averages  and  standard  deviations  of  total 
mercury,  PCBs,  and  2DDT  for  the  muscles  and  livers  of 


adults  and  juveniles.  Table  7  presents  means  and  ranges  of 
concentrations  in  different  bird  species.  From  these  tables, 
comparisons  between  different  species,  between  muscles 
and  livers,  and  between  adults  and  juveniles  can  be  made. 
Because  lindane  was  present  in  only  three  individuals,  the 
data  on  this  compound  appear  separately  in  Table  8. 


TABLE  6.    Average  Hg,  PCB,  and  iDDT  concentrations  in 
muscles  and  livers  of  aquatic  birds.  Lake  Pdijanne,  Finland 


Muscles 

Livers 

Residue 

Adulis 

Juveniles 

Adults 

Juveniles 

M 

2.73 

0.78 

7.90 

231 

TouJHg 

SD 

1.95 

0.86 

7.64 

2,83 

N 

242 

101 

243 

50 

M 

4.97 

1  14 

5.73 

096 

PCB 

SD 

5.32 

1,75 

6,33 

2,08 

N 

229 

72 

230 

40 

M 

3-39 

071 

4.21 

0,82 

SDDT 

SD 

394 

1  58 

541 

1  68 

N 

229 

72 

230 

40 

NOTE:   M  =  mean.  SD  =  standard  deviation.  N- number  of  observations. 


The  ratios  of  residues  in  muscle  to  residues  in  liver  were 
compared  with  those  of  other  studies  (1 .  4.  9,  17,  18).  For 
mercury,  this  ratio  varied  in  different  bird  species  between 
0.112  and  0.577  in  adults,  and  between  0.278  and  0.573  in 
juveniles.  The  muscle:liver  ratio  for  PCBs  in  adults  was 
between  0.540  and  5.917;  in  juveniles  the  ratio  was  be- 
tween 0.100  and  8.258.  The  SDDT  ratio  in  adults  ranged 
from  0.383  to  8.884,  and  in  juveniles,  from  0.044  to 
9.919.  These  values  are  approximately  the  same  as  those 
found  in  the  investigations  cited  above. 

Table  9  presents  the  correlation  coefficients  of  different 
residues.  Coitipounds  whose  residues  correlated  most  fre- 


TABLE  7.  Concentrations  of  total  Hg.  PCBs,  and  IDDT  in  muscles  and  livers  of  aquatic  bird  species,  Lake  Paijanne.  Finland 

Muscles  LlvBts 


Juvemiles 


Mean     Range     Mean     Range     Mean     Range     Mean     Range 


Black-throated  diver 


Residues,  mg/kg  wet  weight 


lot^  Hg 

13.69 

1280-14.57 

PCB 

2,67 

1,32-  6,79 

IDDT 

624 

2.90-11.82 

64.07 
494 
16.27 


45.80-82  33 
3  79-  6  10 
7.63-24.91 


1920 
12.62 
6.42 


1920 
12.62 
6.42 


Great  crested  grebe 

total  Hg 

251 

0,90- 

-  4.76 

0.48 

0.30- 

0.75 

5.75 

1  15 

-  8.50 

1.73 

0.92- 

2.80 

PCB 

J.  10 

054- 

-1068 

0.83 

0.09- 

2  18 

5.18 

0.41 

-10,00 

0.99 

016- 

1.65 

IDDT 

3.67 

0  19- 

-  7.58 

0.22 

0.08- 

046 

639 

0.06 

-1755 

2.25 

0,22- 

6.89 

Ooldeneye 

total  Hg 

0  24 

0  16- 

-  0.28 

0  16 

0.07- 

0,24 

2.15 

0.72 

-  3.42 

038 

0  15- 

050 

PCB 

0,22 

0.06- 

-  0.40 

0.15 

0  15 

0.31 

0.25 

-  0.36 

0,34 

021- 

O60 

IDDT 

0  14 

013- 

-  0.17 

0.16 

0.16 

0.12 

009 

-  0  16 

0,23 

008- 

0.71 

Merganser 

toulHg 

5.44 

3.80- 

-  6.40 

1  32 

0.93- 

1.97 

23.23 

1600 

-32.50 

2.78 

2,33- 

3.22 

PCB 

193 

059- 

3  38 

0.18 

0  18 

1.89 

1.45 

-  2.23 

1  81 

0  30- 

4.82 

IDDT 

2,73 

056- 

8,25 

008 

008 

3.16 

1.28- 

-  5  95 

1  77 

0  20- 

4.89 

Sandpiper 

total  Hg 

0.47 

031- 

063 



_ 

_ 

0.82 

0.38- 

-  1.25 



_ 

PCB 

179 

0.28- 

3  30 

— 

- 

- 

030 

0.16- 

-  044 

— 

— 

IDDT 

3.06 

0.71- 

541 

— 

- 

- 

0.34 

0.25 

-  0  44 

— 

- 

Black-backed  gull 

total  Hg 

3,25 

1,32- 

656 

0.93 

0  10- 

1  98 

946 

4.50- 

-22,20 

2.20 

2  10- 

2.30 

PCB 

671 

0,27- 

18.87 

2.74 

038- 

7,70 

8,00 

0  84-47,83 

1  91 

1.91 

IDDT 

6,27 

008- 

16.83 

2.75 

0.23- 

1097 

9,04 

1  54 

-34,41 

0.63 

0.63 

Herring  gull 

total  hg 

289 

0,10- 

6.55 

065 

004- 

1  74 

753 

021- 

-18.00 

149 

026- 

4.62 

PCB 

13  49 

0,68- 

37.71 

3,30 

0.59- 

19.29 

11.27 

0.77- 

-29.48 

0.40 

034- 

046 

IDDT 

826 

1.04- 

22.05 

1  60 

0.27- 

4.87 

7.50 

0.21- 

-20.83 

0.16 

0.14- 

0  18 

Common  gull 

total  Hg 

1  97 

0.45- 

5.36 

095 

0.30- 

1  59 

585 

1.22- 

-1660 

338 

1.42 

-5  56 

PCB 

4  12 

0  19- 

1745 

0,66 

0  15- 

4,15 

498 

033- 

-37  90 

064 

0.09 

-2.50 

IDDT 

2.73 

0.12- 

1429 

050 

0.11- 

3.93 

3,73 

0,02- 

-1628 

0.60 

009 

-2.41 

Black-headed  gull 

total  Hg 

1  48 

0.18- 

4.36 

0.40 

0.10- 

1.22 

3.79 

0.64- 

-  9  90 

0.92 

0  19- 

2.52 

PCB 

351 

0.09- 

24.52 

0.43 

0.06- 

1  34 

4.29 

0.36- 

-19.13 

0.32 

0.05- 

1.09 

IDDT 

1  06 

0.02- 

1413 

0  13 

0.04- 

0,42 

1  01 

0.09- 

-  5.52 

0.09 

0.02- 

0.21 

Common  tern 

total  Hg 

3  73 

069- 

800 

0,64 

030- 

1  92 

10  10 

068- 

35  60 

111 

108- 

1  14 

PCB 

4,15 

043- 

1592 

095 

3  24- 

1  77 

5  31 

0  76- 

24,38 

041 

0  40- 

043 

IDDT 

1,57 

0  16- 

18.75 

0,39 

0.12- 

1,55 

1,47 

0.18- 

6.55 

0.15 

0.13- 

0.16 

Average  of  all  species 

total  Hg 

2,73 

0  10- 

14.57 

0,78 

0.04- 

1.98 

7.90 

0.21-82.33 

2.31 

0.15- 

19.20 

PCB 

497 

0.06- 

37.71 

1.14 

0.06- 

10  29 

5,73 

016-47  83 

096 

005- 

12.62 

IDDT 

339 

0.02- 

22.05 

0.71 

0.04- 

1097 

4,21 

002- 

34.41 

0.82 

0.02- 

689 

Vol.  12,  No.  1,  June  1978 


31 


TABLE  8.  Lindane  residues  in  muscles  of  three  individual  birds. 
Lake  P'aijanne.  Finland 


Specibs/aob 

Common  gull ,  juvenile 
Common  gull,  juvenile 
Merganser,  adult  (male) 


Study  A«E»       Date         mg/kg  Wet  Weight 


1-8-73 
1-8-73 
5-6-73 


0.019 
0  058 
0.362 


NOTE:  See  Figure  I  for  location  of  study  areas. 

TABLE  9.  Correlation  coefficients  Ir)  of  different  residues  in 

muscles  and  livers  of  adult  and  juvenile  birds. 

Lake  P'aijdnne,  Finland 


Tissue 

Residue 

Total 

Methyl 
Hg 

PCBs 

Muscles  Adult 

methyl  Hg 
PCBs 
ZDDT 

+  0.287'«« 
+  0.2I4*" 
+  0.237"* 

+  0.049 
+  0.026 

+  0.565"* 

Muscles  Juvenile 

methyl  Hg 
PCBs 
ZDDT 

+  0.039 
+  0  114 
+  0,074 

-0.018 
-0  012 

+o.7oa«" 

Livers  Adult 

PCBs 
ZDDT 

+  0  131* 
+  0.3I7**' 

+  0,644<«» 

Livers  Juvenile 

PCBs 
ZDDT 

+  0.819'" 

+  0,543«'« 

+  0689«'« 

NOTE:  •  =  p  <  5  percent. 
•••  =  p  <  0  1  percent 

quently  in  the  greatest  number  of  birtis  were  PCBs  and 
SDDT. 

Table  10  presents  the  percentage  of  total  mercury  which  is 
methyl  mercury.  Percentages  varied  in  different  species 
between  91  and  117.  indicating  inaccuracy  of  analytical 
methods,  since  the  correct  value  must  be  below  100 
percent. 

TABLE  10.  Ratios  of  methyl  mercury  to  total  mercury  in 

muscles  of  adult  birds  from  study  areas  I  and  4, 

Lake  Paifanne,  Finland — 1972 


Methyl  Hg: 

Ratios. 

Species 

N' 

Total  Hc,%' 

Range 

Great  crested  grebe 

6 

91 

67-110 

Black-backed  gull 

4 

117 

107-126 

Herring  gull 

1 

100 

100 

Common  gull 

2 

111 

107-115 

Black-headed  gull 

7 

93 

66-127 

Common  tern 

10 

107 

69-160 

NOTE:  See  Figure  1  for  location  of  study  areas. 

'  N^number  of  individuals  sampled 

'  Percentages  over  100  indicate  inaccuracy  in  analytical  methods. 


Table  1 1  lists  t-test  findings  which  indicate  that  average 
concentrations  of  residues  in  males  and  females  differed 
significantly.  Muscles  and  livers  in  adults  of  each  species 
were  tested.  In  some  gull  species  significant  differences 
were  found,  and  in  all  cases  the  average  residue  concentra- 
tion in  males  was  higher  than  in  females. 

Table  12  presents  the  ratio  of  2DDT:PCBs  among  different 
bird  species  for  comparison  with  corresponding  values  in 
earlier  studies  (4,  5,  23.  27.  34).  Generally,  birds  which 
have  been  nesting  in  industrial  areas  contain  more  PCBs  in 
relation  to  DDT  than  do  individuals  nesting  far  from  such 
areas  (27).  In  Lake  Paijanne,  these  ratios  never  reached  the 
high  levels  of  9:10  found  in  more  remote  areas  of  the 
globe,  but  the  average  levels  do  correspond  to  those  of  the 
North  Atlantic  (4).  In  many  species  the  ratio  SDDT;PCBs 
parallels  the  values  for  birds  in  Greenland  (5).  Great 
differences  exist  in  the  SDDT:PCB  ratios  of  the  different 
bird  species  of  Lake  Paijanne. 

Discussion 

The  nonparametric  tests  showed  no  regional  differences  of 
concentration  patterns  among  the  birds  sampled  except  for 
XDDT  in  liver.  If  the  material  sampled  from  the  different 
areas  is  combined  on  this  ground  and  t-tests  are  used  to 
search  the  yearly  differences  for  every  species,  only  the 
PCB  contents  of  the  black-backed  gull  seem  to  have  de- 
creased. If  the  absence  of  any  significant  variations  be- 
tween the  sampling  years  is  regarded  as  a  basic  fact,  then 
the  regional  differences  can  be  examined  for  every  species 
from  material  in  which  the  results  of  the  different  years  are 
combined.  Such  an  examination  indicates  that  the  different 
gull  species  and  the  common  tern  contain  significantly 
more  mercury  at  areas  3,  5,  and  6  than  elsewhere;  PCBs 
appear  most  often  at  area  1;  and  in  all  species,  2DDT 
appears  in  comparatively  even  amounts  at  the  different 
sampling  areas.  Thus  for  mercury,  the  regional  maximums 
are  not  found  in  the  locations  of  greatest  pollution,  areas  1 
and  4.  The  same  paradox  applies  to  certain  other  trophic 
levels  of  the  lake  (24).  An  explanation  of  this  might  be  that 
mercury  is  retained  within  the  sediment  at  the  low- 
oxygenated  areas  1  and  4;  it  does  not  pass  through  the  food 
chain  as  effectively  as  it  would  in  sediment  which  is  farther 
from  the  sources  of  pollution. 


TABLE  1 1.  Significant  t-test  differences  between  residues  in  adult  male  and  female  birds.  Lake  Paifanne,  Finland 


Content 

Tissue 

Males 

Females 

SiGNIF.' 

OF 

DiFF 

Species 

M 

SD 

N 

M 

SD 

N 

Black-backed  gull 

total  Hg 
total  Hg 

muscle 
liver 

3.51 
10.19 

1.30 
4,24 

25 
25 

2  80 
8.19 

1  05 
3.36 

22 
22 

o 

Herring  gull 

total  Hg 

liver 

10.19 

4,41 

8 

5.76 

3.98 

12 

• 

Common  gull 

total  Hg 

total  Hg 

DDE 

ZDDT 

muscle 
liver 
liver 
liver 

2.28 
6.99 
4  63 
4.63 

1,13 
3.75 
4.24 
4.24 

35 

36 
35 

35 

1  46 
3.88 
2.24 
2.24 

098 
2.46 
3.26 
3.26 

22 
21 
21 
21 

•  * 

•  • 
• 

NOTE:  M  =  mean;  SD  =  standard  deviation;  N  =  number  of  observations. 
'  Significances:  •=-p<IO*.  •-p<5%.  ••-p<[% 


32 


Pesticides  Monitoring  Journai 


TABLE  12.  IDDT.PCB  ratios  in  muscles  and  livers  of  aquatic 
bird  species.  Lake  Pdijdnne ,  Finland 


SDDT:PCB  Ratio 

Muscles 

Livers 

Species 

Adults 

Juveniles 

Adults 

Juveniles 

Black-throated  diver 

2.339 



3.292 

0509 

Great  crested  grebe 

1.183 

0.267 

1,233 

2  281 

Goldeneye 

0.658 

1.073 

0  397 

0.688 

Merganser 

1.418 

0.429 

1  671 

0.976 

Sajidpiper 

1.710 

_ 

1  139 

— 

Black-backed  gull 

0.935 

1004 

1  130 

0329 

Hemng  gull 

0.612 

0.479 

0  665 

04<>> 

Coinmon  gull 

0663 

0  763 

0.750 

0933 

Black-headed  gull 

0300 

0.301 

0.235 

0,277 

Common  tern 

0.379 

0.409 

0.278 

0.353 

Average 

0681 

0.624 

0.734 

0.854 

PCBs  seem  to  enter  the  watercourse  from  the  town  of 
Jyv'askyfa  but  their  exact  origin  is  unicnown.  Otherwise 
there  is  little  regional  difference  of  PCB  and  IDDT  con- 
tamination in  the  waterways  around  Lake  Paijanne.  indi- 
cating that  the  residues  detected  in  the  birds  originate 
primarily  in  the  wintering  regions  or  along  the  migration 
routes,  or  that  they  reflect  the  global  levels  of  contamina- 
tion. The  differences  between  the  average  residues  in 
adults  and  those  in  juveniles  show  that  bioaccumulation 
occurs  as  individuals  age  (Tables  6,  7).  Within  each 
species  the  contents  of  mercury,  PCBs,  and  DDT  were 
significantly  higher  in  adults  than  in  juveniles.  This  was 
seen  in  all  species  that  had  sufficient  material  for  statistical 
comparison. 


Canada;  and  for  the  common  gull,  mercury  content  was 
lower  than  in  Norway.  For  the  grebe,  PCB  levels  were 
lower  in  Lake  Paijanne  than  in  Great  Britain;  and  for  the 
black-backed  gull,  levels  were  lower  than  in  the  Faeroe 
Islands  north  of  Scotland.  For  the  merganser,  juvenile 
herring  gull,  and  common  tern,  SDDT  levels  were  lower  in 
Lake  Paijanne  than  in  the  United  States;  and  for  the 
black-headed  gull,  SDDT  residues  were  lower  than  in  the 
Po  Delta  of  northern  Italy. 

In  Lake  Paijanne,  mercury  residues  for  the  black-throated 
diver  were  greater  than  in  Aberdeen  in  eastern  Scotland, 
and  Canada;  and  for  mergansers  and  herring  gulls,  residues 
were  greater  than  in  Canada.  In  Lake  Paijanne,  mercury 
content  was  higher  for  mergansers  than  elsewhere  in  Fin- 
land; higher  for  black-backed  gulls  and  herring  gulls  than 
in  the  Faeroes;  higher  for  the  herring  gulls  than  at  Fife, 
Scotland;  and  higher  for  the  black-headed  gulls  than  in 
Norway  and  Great  Britain.  Mercury  was  present  in  equal 
concentrations  among  mergansers  in  Lake  Paijanne  and 
goosanders  in  the  Baltic  Sea. 

For  the  black-backed  gull  in  the  Faeroes  and  the  black- 
headed  gull  of  the  Po  Delta,  PCB  concentrations  were 
lower  than  in  Lake  Paijanne. 

For  the  black-headed  gull  and  the  common  tern,  SDDT 
concentrations  were  greater  in  Lake  Paij'anne  than  in  the  Po 
Delta.  For  the  herring  gulls  from  the  Faeroes  and  the 
common  tern  from  the  Po  Delta,  PCB  levels  were  equal  to 
those  of  Lake  Paijanne. 


Tables  6  and  7  also  show  that  mercury  levels  are  higher  in 
liver  than  in  muscle,  and  these  differences  are  significant 
in  all  species  having  sufficient  material  for  statistical  com- 
parison according  to  t-tests.  Conversely,  PCBs  and  2DDT 
do  not  accumulate  in  the  liver  more  than  in  pectoral 
muscles. 

Correlations  between  the  different  pesticide  contaminants 
(Table  9)  do  not  reveal  any  causes  but  they  do,  to  a  certain 
degree,  illustrate  the  possible  common  origin  of  the  differ- 
ent residues,  possible  similar  bioaccumulation  in  the  food 
chains,  or  possible  similar  behavior  in  metabolism.  The 
high  significant  positive  correlation  between  the  levels  of 
PCBs  and  2DDT  indicates  that  these  fat-soluble  contami- 
nants behave  similarly. 

Authors  referred  to  the  published  literature  to  compare 
residue  levels  of  Lake  Paijanne  birds  with  levels  in  the 
same  species  in  other  countries  (/.  3-7.  9,  17-23,  25-27, 
33,  34,  36  ).  It  must  be  remembered,  however,  that  mate- 
rial from  Lake  Paij'anne  did  not  contain  birds  that  were 
dead.  This  excluded  from  the  sample  those  individuals  that 
may  have  been  fatally  poisoned  by  pesticides. 

For  the  goldeneye,  merganser,  herring  gull,  and  common 
tern,  mercury  levels  were  lower  in  Lake  Faij'anne  than  in 


Lindane  occurred  at  about  the  same  concentrations  in  many 
individual  birds  from  Lake  Paij'anne  as  in  those  from  other 
locations.  Fat  of  aquatic  birds  of  Greenland  averaged  0.40 
mg/kg  of  lindane  (5);  aquatic  bird  eggs  of  Ireland  averaged 
0.045  mg/kg  (8);  cormorants  in  the  United  States  averaged 
0.05  mg/kg  in  liver  and  whole  bodies  (//).  Black-headed 
gulls  in  the  Po  Delta  averaged  0.049  mg/kg  in  the  muscle 
and  0.495  mg/kg  in  the  liver;  for  the  same  individuals, 
maximum  values  were  0.1 10  mg/kg  for  muscle  and  1.87 
mg/kg  for  liver  (34).  Although  average  concentrations  of 
lindane  in  Lake  Paij'anne  birds  were  almost  zero,  the 
maximum  levels  were  similar  to  those  in  the  other  coun- 
tries mentioned. 

Dieldrin,  which  did  not  appear  at  all  in  Lake  Paij'anne 
birds,  has  been  reported  in  aquatic  birds  elsewhere  (8.  II, 
18,  22,  30  34,  37).  Values  as  high  as  0.348  mg/kg  have 
been  observed  in  aquatic  birds  of  Utah,  although  maximum 
levels  range  generally  from  0.01  to  0. 10  mg/kg  {30). 

Comparison  of  concentrations  in  various  bird  species 
shows  that  mercury  residues  are  highest  in  the  diver, 
merganser,  common  tern,  and  common  gull.  PCB  contents 
are  highest  in  the  herring  gull  and  common  gull,  and 
SDDT  is  highest  in  the  herring  gull,  black-backed  gull, 
and  diver.   Considering   SDDT  concentrations   in  liver 


Vol.  12,  No.  I,  June  1978 


33 


alone,  residues  arc  highest  in  the  diver.  Differences  among 
the  bird  species  may  depend  principally  on  feeding  habits, 
although  duration  of  life,  migration  routes,  and  wintering 
regions  also  cause  differences.  The  gulls,  especially  the 
black-headed  gull  and  the  herring  gull,  feed  on  garbage  as 
well  as  fish,  and  the  black-headed  gull  also  eats  terrestrial 
animals  living  in  arable  lands. 


LITERATURE  CITED 

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(2)  Ahling.  B..  and  S.  Jensen.  1970.  Reversed  liquid  partition 
in  determination  of  polychlorinated  biphenyl  (PCB)  and 
chlorinated  pesticides  in  water.  Anal  Chem.  42(13):  1483- 
1486. 

(3)  Bagge,  P.  1975.  Pesticide  residues  in  some  Baltic  ani- 
mals— a  review  of  selected  literature.  Pure  Appl.  Chem. 
42(1-2):129-137. 

(4)  Bourne,  W.R.P  ,  and  J. A.  Bogan.  1972.  Polychlorinated 
biphenyls  in  North  Atlantic  seabirds.  Mar.  Pollut.  Bull. 
3(1I):I71-175. 

(5}  Braeslrup.  L..  J.  Clausen,  and  O.  Berg.  1974.  DDE,  PCB 
and  aldrin  levels  in  arctic  birds  of  Greenland.  Bull.  Envi- 
ron  Contam   Toxicol  1 1(4):326-332. 

(6)  Date.  I.M..  M.S.  Baxter.  J  A.  Began,  and  W.R.P. 
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(7t  Dimond.  J.B..  A.S.  Geichell.  and  J. A.  Blease.  1971. 
Accumulation  and  persistence  of  DDT  in  a  lotic  ecosystem. 
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(8)  Eades.  J.F.  1966.  Pesticide  residues  in  the  Irish  environ- 
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(9)  Fimreite.  N.  1974.  Mercury  contamination  of  aquatic  birds 
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(10)  Gaul,  J. A.  1966.  Quantitative  calculation  of  gas 
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(11)  Greichus.  Y.A.,  A.  Greichus.  and  R.J.  Emerick.  1973. 
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(12)  H'as'anen.  E.,  V.  Mieitinen,  O.  Ojala,  and  J.  Rautap'aa. 
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(13)  Hallula.  ML  1973.  Analysis  of  DDT-  and  PCB-type 
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(14)  Hallula,  M.L.  1974.  Some  aspects  of  the  recovery  of 
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34 


(15)  Hallula.  M.  L.  1974.  Simultaneous  clean-up  of  fish  fat 
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(16)  Holden.  A.V..  and  K  Marsden.  1969  Single-stage 
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(17)  Holl.  G.  1969.  Mercury  residues  in  wild  birds  in  Norway. 
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(IS)  Johnson.  L.G..  R.L.  Morris,  and  R.  Bishop.  1971 .  Pes- 
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(25)  Presli.  I  .  D  J.  Jefferies.  and  N .W .  Moore.  1970. 
Polychlorinated  biphenyls  in  wild  birds  in  Britain  and  their 
avian  toxicity.  Environ.  Pollut.  l(l):3-26 

(26)  Risebrough.  R.W..  D.B.  Menzel.  D.J.  Martin.  Jr..  and 
H.S.  Olcoll.  1967.  DDT  residues  in  Pacific  sea  birds:  a 
persistent  insecticide  in  marine  food  chains.  Nature 
2I6(51I5):589-59I. 

(27)  Risebrough.  R.W..  P.  Rieche.  D  B  Peakall.  S  G.  Her- 
man, and  M.N.  Kirven.  1968.  Polychlorinated  biphenyls 
in  the  global  ecosystem.  Nature  220(5172):  1098-1  102. 

(28)  S'drkka.  J .  1975.  Effects  of  the  pollution  on  the  profunda! 
meiofauna  of  Lake  Paijanne.  Finland.  Aqua  Fennica  1975: 
3-11. 

(29)  Siegel.  S.  1956.  Nonparametric  Statistics  for  the  Be- 
havioral Sciences  McGraw-Hill  Book  Co.,  Inc.,  New 
York.  312  pp. 

(30)  Smith.  FA..  R.P  Sharma.  R.I.  Lvnn.  and  J  B.  Low. 
1974.  Mercury  and  selected  pesticide  levels  in  fish  and 
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drin  and  PCB  in  chukars.  pheasants  and  waterfowl.  Bull. 
Environ.  Contam.  Toxicol.  12(21:153-157. 

(31)  Talion.    JO       G.    and  J. HA.    Ruzicka.    1967.    Or- 

PESTICIDES  MONtTORlNG  JOURNAL 


ganochlorine  pesticides   in   Antarctica.   Nature   215  chloride  pesticides  in  the  fish  and  birds  of  the  Po  delta. 

(5099):346-348.  Rev.  Int.  Oceanogr.  Med.  35-36,  79-90. 

(32)  Tuunainen  P..  K.   Granherg,   L.  Hakkari.  and  J.  Sdrkk'a. 

1972.  On  the  effects  of  eutrophication  on  Lake  Paijanne, 

Central  Finland.   Verh.  Int.   Ver.  Theor.  Angew.   Limnol.  '-^^^   Westoo.    G..   and  K.    Noren.    1970.    Determination  of  or- 

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(33)  Vermeer.    K..    F.A.J.    Armstrong,   and  D.R.M.    Hatch. 

1973.  Mercury   in   aquatic  birds  at  Clay   Lake,   Western 

Ontario.  J.  Wildl.  Manage.  37:58-61.  (36)   Woodwell,  G.M..  and  C.F.   Wurster.  and  PA.  Isaacson. 

1967.    DDT  residues  in  an  east  coast  estuary:  a  case  of 

(34)  Viviani,    R..    G.    Crisetig,    P.    Cortesi,    and   E.    Carpene.  biological  concentration  of  a  persistent  insecticide.  Science 

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Vol.  12,  No.  I.June  1978  35 


Dieldhn,  DDT,  PCBs,  and  Mercury  Levels  in  Freshwater  Mullet  from  the  Upper  Great  Lakes, 

1975-76  • 

Mary  E.  Zabik,^  Barbara  Olson,-  and  Teiko  M.  Johnson  - 


ABSTRACT 

Freshwater  mullet  harvested  commercially  during  various  sea- 
sons of  1975-76  from  the  upper  Great  Lakes  were  analyzed  for 
organochlorine  pesticides ,  PCBs.  and  mercury.  Species 
analyzed  were  Catostomus  commersoni,  C.  catostomus.  and 
Moxostoma  erythruran.  Whole  ground  fish,  mechanically  de- 
honed  flesh,  head,  middle,  and  tail  steaks,  and  various  muscles 
were  analyzed  for  pesticides  and  PCBs:  only  edible  flesh  was 
analyzed  for  mercury.  Dieldrin  ranged  from  none  detected  to 
0.23  ppm  in  deboned  and  whole  ground  samples,  the  DDT  range 
was  a  trace  to  0.30  ppm,  and  PCBs  ranged  from  0.06  ppm  to 
0.79  ppm.  Levels  were  also  higher  in  head  sections  and  in  high 
fat-containing  medial  muscle  and  belly  flap.  Mercury  levels 
ranged  from  0.03  ppm  to  0.28  ppm  in  the  flesh  of  mullet  from 
Lake  Michigan. 


Introduction 

Freshwater  mullet  from  the  lakes  surrounding  Michigan 
have  received  little  attention  as  significant  sources  of 
human  food.  In  their  native  form,  these  fish  are  frequently 
considered  unattractive  to  consumers  because  of  their  in- 
tramuscular bony  structure  and/or  their  muddy  flavor 
which  is  characteristic  of  fish  with  their  particular  eating 
habits.  Estimates  indicate,  however,  that  mullet  could  be 
harvested  from  Michigan  waters  at  an  annual  rate  ap- 
proaching one  million  kg.  Two  species  of  the  genus 
Catostomus  comprise  most  of  the  mullet  population  in 
Lakes  Huron,  Michigan,  and  Superior.  The  white  mullet 
iCaloslomus  commersoni)  is  widespread  in  Lakes  Huron 
and  Michigan,  the  longnose  mullet  (C.  catostomus)  pre- 
dominates in  Lake  Superior,  and  the  golden  redhorse  mul- 
let ( Mo.xosloma  erythruran)  is  available  in  commercially 
harvestable  quantities  from  Lake  Huron. 


'Michigan  Agricultural  ExperimenI  Slition  Journal  Article  No  8142  Research 
supported  hy  Upper  Great  Lakes  Regional  Commission  Technical  Assistance 
Project  No    10520239 

'  Department  of  Food  Science  and  Human  Nutrition.  Michigan  State  University. 
East  Laming.  Ml  4S824 


In  addition  to  their  muddy  flavor,  these  fish  have  been 
unpopular  with  consumers  because  of  the  numerous  Y 
bones  throughout  the  fleshy  portion  of  the  fish.  Recently, 
however,  mechanical  means  have  been  developed  for 
separating  meat  from  bone,  yielding  a  boneless  minced 
flesh  product.  This  minced  flesh  can  be  used  in  various 
consumer  products.  However,  before  commercial  products 
can  be  developed,  it  has  been  necessary  to  determine  the 
levels  of  environmental  contaminants,  their  seasonal  varia- 
tion, variation  of  environmental  contaminants  within  dif- 
ferent muscles,  and  location  of  the  fish  in  representative 
species  from  the  three  lakes  concerned. 


Sampling  Procedures 

Mullet  were  harvested  by  commercial  anglers  from  Lakes 
Huron  (Saginaw  Bay,  Standish.  and  Au  Gres.  Michigan), 
Michigan  (Epoufette  Bay,  Epoufette,  Michigan),  and 
Superior  (Whitefish  Bay,  Brimley,  Michigan)  during  dif- 
ferent seasons  of  1975-76.  They  were  readily  available 
from  commercial  anglers  in  Saginaw  Bay.  The  fish  were 
less  readily  available  in  the  upper  Lakes  Superior  and 
Michigan,  so  seasonal  variation  could  not  be  determined 
specifically.  Fish  were  ice-packed  and  transported  to  the 
laboratory  for  processing  and  analyses,  usually  arriving  the 
day  after  the  catch.  Following  heading  and  gutting,  fish  to 
be  deboned  by  machine  were  split  into  halves  and  run 
through  the  Bibun  deboner  (Type  SD  x  13,  5-mm  holes), 
resulting  in  a  minced  flesh  product  separated  from  bone, 
skin,  and  scales.  Whole  headed  and  gutted  mullet  (.15^0 
cm  long)  were  coarsely  ground  three  times  in  a  Hobart  food 
cutter  fitted  with  chopper  attachment.  Other  whole  dressed 
mullet  were  filleted  into  the  ventral,  dorsal,  medial,  and 
belly  flap  muscles  or  sectioned  into  head,  midsection,  and 
tail  cross  slices.  Two  mullet,  35^0  cm  long,  were  used 
for  each  muscle  or  section  study  for  each  catch  date  for 
each  lake.  Muscles  or  sections  were  homogenized  sepa- 
rately in  an  Osterizer  blender  and  all  samples  were  frozen 


36 


Pesticides  Monitoring  Journal 


and  held  at    -23°  C  in  glass  jars  before  being  thawed 
overnight  at  4°-5°  C  for  residue  analyses. 


Analytical  Procedures 

PESTICIDES  AND  POLYCHLORINATED  BIPHENYLS  (PCBs) 

Two  samples  of  each  fish  variable  were  extracted  sepa- 
rately with  hexane-acetone  (2:1),  partitioned  with 
acetonitrile,  and  subjected  to  Florisil-Celite  column 
cleanup  according  to  the  method  of  Yadrick  et  al.  (7). 
Solids  were  determined  by  drying  2-g  samples  under  vac- 
uum at  90°  C  to  constant  weight;  lipid  was  estimated  by 
evaporating  an  aliquot  of  the  hexane  extract  to  dryness  at 
70°  C  under  vacuum. 

Gas  chromatographic  analyses  were  performed  with  a 
Tracor  560  gas-liquid  chromatograph  (GLC)  equipped  with 
a  ^'Ni  electron-capture  detector  and  interfaced  with  a  Dig- 
ital PDP-8e-Pamila  GC  data  system.  Instrument  parameters 
and  operating  conditions  follow. 


Column 
Temperatures: 

Carrier  gas: 


1  83-m  X  4.0-mm  ID  Pyrcn.  packed  with  3  percent 
OV-1  on  80-IOO-mesh  Chromosorb  W-HP 

column  190°  C 
injection  port  230°  C 
detector  300°  C 

nitrogen  nowing  at  40  ml/minute 


Standards  were  prepared  with  99-1-  percent  pure  recrystal- 
lized  dieldrin,  p,p'-DDT.  and  p.p'-JDE,  and  Aroclor 
1248  in  Nanograde  hexane.  Quantitations  were  based  on 
peak  area  for  pesticides;  the  area  of  three  peaks  was  used  to 
quantitate  the  PCBs.  Standards  were  run  every  morning 
and  after  every  eight  or  nine  samples.  Recoveries  with  this 
method  of  extraction  and  quantitation  were  85±2  percent 
for  PCBs  and  92±1  percent  for  dieldrin  and  DDT  com- 
pounds; limits  of  detection  were  0.01  ppm  for  PCBs  and 
0.001  ppm  for  dieldrin  and  DDT  compounds.  Data  pre- 
sented in  this  paper  are  not  corrected  for  recoveries. 

Presence  of  these  residues  was  confirmed  by  mass  spec- 
trometric  analysis  on  a  pool  of  all  extracted  samples  from 


each  lake.  The  chromatograph  used  was  a  Beckman  GC-65 
interfaced  with  a  DuPont  21-490  mass  spectrometer  which 
in  turn  was  interfaced  with  a  Digital  PDP-12-LDP  com- 
puter. Mass  spectra  were  obtained  at  an  ionizing  voltage  of 
70  eV  with  a  source  temperature  of  210°  C. 

MERCURY 

Mercury  was  determined  from  duplicate  edible  flesh  sam- 
ples for  each  catch  from  each  lake  as  total  elemental 
mercury  by  using  flameless  atomic  absorption  spec- 
trophotometry as  described  by  Gomez  and  Markakis  (2). 
Concentrated  sulfuric  acid  was  used  to  digest  the  samples 
as  described  in  their  Digestion  1  procedure.  Recovery  was 
95 ±1  percent,  and  the  limit  of  detection  was  0.005  ppm. 
Values  presented  are  not  corrected  for  recovery  data. 


Results 

Fat,  solids,  pesticides,  and  PCBs  in  whole  ground  and 
mechanically  deboned  mullet  from  the  upper  Great  Lakes 
are  presented  in  Tables  1  and  2.  Dieldrin  content  ranged 
from  none  to  0.23  ppm.  2DDT  in  white  mullet  caught  in 
Lake  Superior  in  June  ranged  from  a  trace  to  0.30  ppm. 
PCBs  varied  from  0.06  ppm  to  0.79  ppm.  All  levels  are 
below  the  tolerances  for  these  environmental  contaminants 
established  by  the  Food  and  Drug  Administration  (FDA), 
U.S.  Department  of  Health,  Education,  and  Welfare,  al- 
though dieldrin  levels  in  the  mullet  from  Lake  Michigan 
are  closest  to  their  tolerance  level,  0.3  ppm. 

Seasonal  variation  appears  to  be  minor.  As  much  variation 
occurred  in  the  levels  of  contaminants  themselves  as  in  the 
levels  as  they  related  to  the  different  catch  dates. 

The  Great  Lakes  Environmental  Contaminant  Survey 
analyzed  two  freshwater  mullet  under  16  inches  long  from 
Lake  Huron  in  1974  and  four  in  1975  {3,  4).  Values 
reported  there  are  similar  to  those  in  the  current  study.  An 
earlier  analysis  of  a  freshwater  mullet  revealed  1.14  ppm 
DDT  (5).  Thus  DDT  levels  may  be  decreasing.  Similar 
DDT  levels  were  reported  in  freshwater  mullet  from  Lakes 


TABLE  1 .   Fat.  solids,  pesticides,  and  PCBs  in  whole  ground  freshwater  mullet.  Upper  Great  Lakes.  1975-76 


Date  of 

Dl 

ELDKIN 

ZDDT 

PCBs  AS  AKOCLOit  1248 

Wet 

Wet 

Wet 

Lake 

Type 

Caich 

Fat.  % 

SOUDS,  % 

Tissue 

Fat 

Tissue 

Fat 

Tissue 

Fat 

White 

February  75 

2.63 

23  43 

Residues, 

PPM 

Huron 

0  03 

1    10 

0  06 

2,03 

0  54 

10  03 

White 

May  75 

1  20 

21  30 

0  10 

8  84 

0,06 

4  26 

0,54 

43,40 

While 

August  75 

2.70 

24  40 

0  09 

3,15 

0,08 

2,89 

0.79 

29  36 

Redhorse 

August  75 

7  90 

31  70 

0,11 

1,45 

0  08 

098 

0.70 

8.86 

White 

December  75 

2  30 

21.30 

0  16 

3  97 

0  30 

13,31 

0.12 

5.30 

White 

February  76 

2  30 

23  90 

0  04 

1  92 

0  08 

3,57 

0.15 

6  28 

Michigan 

Longnose 

June  75 

4,20 

25  25 

0  21 

5,01 

0,23 

3  12 

0,62 

14  05 

Longnose 

August  75 

5  55 

25,65 

0  23 

4  31 

0,27 

4.49 

0.71 

12  67 

White 

June  76 

115 

24  00 

0  03 

2  77 

0.03 

2.82 

0.16 

12.99 

Superior 

White 

June  75 

2,05 

22,35 

— 

— 

Tr' 

— 

0.06 

3.12 

Longnose 

December  75 

3  95 

24,25 

0,09 

2  33 

0-14 

3.46 

0,26 

6.55 

'  Tr  =  0  005 

-0.009 

ppm 

Vol.  12, 

No. 

1,  June  1978 

37 

Ontario  and  Erie,  although  dieidrin  levels  were  less  than 
0.01  ppm(/). 

Variation  in  levels  of  environmental  contaminants  from 
head  to  tail  is  summarized  in  Table  3.  The  head  slices 
which  contained  the  most  fat  had  the  highest  levels  of 
environmental  contaminants.  On  a  fat  basis,  however,  the 
distribution  was  more  uniform. 


have  little  benefit  because  residues  in  the  loin  muscles 
were  also  high. 

Mercury  levels  in  the  edible  flesh  (Table  5)  were  highest  in 
fish  from  Lake  Michigan.  Values  reported  for  fish  from 
Lake  Huron  are  close  to  those  reported  by  the  Great  Lakes 
Environmental  Contaminants  Survey  {3,  4). 


Variation  in  contamination  according  to  muscle  content  is 
shown  in  Table  4.  The  high-fat  medial  muscle  and  belly 
flap  contained  the  highest  amounts  of  residues.  Because 
the  residues  are  fat-soluble,  trimming  would  be  a  feasible 
method  of  reducing  contaminants  if  the  deboned  flesh  ever 
exceeded  FDA  tolerances.  Reinert  and  Bergman  (6)  also 
found  that  these  areas  had  higher  levels  of  contaminants  in 
Coho  salmon,  but  they  concluded   that  trimming  would 


Acknowledgment 

The  authors  thank  Estes  Reynolds,  Food  Science  and 
Human  Nutrition  Department,  Michigan  State  University, 
for  procuring  the  fish,  and  Drs.  Dawson,  Price  and 
Reynolds  for  help  with  fish  processing.  Appreciation  is 
also  expressed  to  Matthew  Zabik,  Pesticide  Research  Cen- 
ter, for  mass  spectrophotometric  analyses. 


TABLE  2.  Fat,  solids,  pesticides,  and  PCBs  in  mechanically  deboned  freshwater  mullet,  upper  Great  Lakes,  1975-76 


Date  OF 

Dl 

ELDRIN 

IDDT 

PCBs  AS 

AIOCLOE  1248 

Wet 

Wet 

Wei 

Lake 

Type 

Catch 

Fat.  % 

Solids.  % 

Tissue 

Fat 

Tissue 

Fat 

Tissue 

Fat 

While 

February  75 

2,07 

22,37 

Residues. 

PPM 

Huron 

001 

0.62 

0.03 

1.84 

0.29 

14  13 

While 

May  75 

1  50 

19  83 

0  06 

4.27 

0.06 

4.14 

0  50 

33  39 

While 

August  75 

1  60 

19  75 

0  07 

4.16 

0  08 

4.63 

0  41 

2501 

Redhorse 

August  75 

5  50 

24,85 

005 

096 

0.04 

0.69 

0  18 

3.22 

While 

December  75 

2,75 

20,70 

0  15 

5.22 

0  20 

6  99 

0  70 

24  38 

While 

February  76 

2  95 

20  25 

0  07 

2.47 

0  10 

3  26 

0.17 

5  88 

Michigan 

Longnose 

August  75 

5,23 

23,90 

0.13 

2.37 

0.16 

2.93 

0  49 

9  29 

While 

June  76 

1,83 

19  75 

0.03 

1  90 

0.03 

1.87 

0  26 

14  06 

Superior 

While 

June  75 

2,15 

18.20 

Tr' 

— 

0.01 

0.56 

006 

2.93 

Longnose 

December  75 

3  00 

21   15 

0  07 

2.28 

0.12 

3  88 

0.70 

23.32 

'  Tr  =  0  005-0  009  ppm 


TABLE  3.  Pesticides  and  PCBs  in  sections  of  freshwater  mullet,  upper  Great  Lakes,  1975-76 


Mean  Fat 

Mean  Solids 

Mean 

DlELDEIN 

Mean 

XDDT 

Mean  PCBs  as 

AloCLoa 1248 

Wet  Tissue 

Fat 

Wet  Tissue 

Fat 

Wet  Tissue 

Fat 

Lake 

Section 

(Range).  % 

(Range).  % 

(Range) 

(Range) 

(Range) 

(Range) 

(Range) 

(Range) 

Head 

5  80 

27,77 

Residues,  ppm 

Huron ' 

0.16 

3.35 

0.24 

4.84 

0.86 

15  06 

(3.65-955) 

(23  65   33  55) 

(0.02-0.68) 

(0.45-13  31) 

(0.03-0.98) 

(1  75-19.25) 

(Tr'-l  92) 

(Tr-32  40) 

Middle 

3  14 

24  13 

006 

2.66 

0  07 

2  91 

039 

15  54 

(1.72-7  60) 

(22  55-30.00) 

(0.01-0  21) 

(0  58-9  40) 

(0  02-0  19) 

(0  36-8  09) 

(0  14-1   10) 

(302-37  36 

Tail 

2.04 

26  21 

003 

2  34 

0  04 

2  97 

0  18 

12  94 

(0.65-5.25) 

(23  00-30  00) 

(Tr-0  09) 

(Tr-6  68) 

(Tr-0  13) 

(Tr-6  85) 

(Tr-0. 34) 

(Tr-23.29) 

Michigan  ' 

Head 

4  77 

26  22 

0  09 

2.25 

0  10 

2  18 

056 

1509 

(2.25-8  20) 

(23  20-30  10) 

(0  05-0  11) 

(1.33-3  10) 

(0  05-0  17) 

(1  94-2  53) 

(0  49-0.61) 

(8  07-18.78) 

Middle 

3.82 

24  30 

009 

2  17 

0  12 

2  13 

0  29 

11  61 

(1.15-7  05) 

(21.05-26  70) 

10  02-0  14) 

(1  62    2  94) 

(0  03-0  17) 

(1  94-2  43) 

(023-035) 

(8  56-16  90) 

Tail 

2.13 

23.07 

0.06 

2  58 

0  06 

2  09 

0  26 

15  55 

(1.24-3  80) 

(21   10-24  70) 

(0. 02-0. 08) 

(1  58-3  95) 

(002-0  08) 

(1  94-2  25) 

(0  10-0  46) 

(7  40-30.58) 

Superior* 

Head 

2.65 

23.70 

0  06 

1  68 

0  13 

3  34 

0  24 

7  29 

(2.05-3.25) 

(21  90-2550) 

(Tr-0  II) 

(Tr   3  36) 

(Tr-0. 23) 

(Tr-6  68) 

(0  08-0  39) 

(3  16-11  41) 

Middle 

2.10 

24  15 

0  02 

0  84 

0.03 

1   17 

0  15 

6  66 

(1.70-2  50) 

(22.20-26  10) 

(0.00-0  04) 

(0  00-1  68) 

(Tr-0  06) 

(Tr-2  34) 

(0  08)-0  22) 

(4  42-8  89) 

Tail 

1.70 

22  48 

003 

1  21 

0  06 

2  56 

0  14 

7  80 

(1  20-2.20) 

(20.70-24.25) 

(Tr-0.05) 

(Tr-2.42) 

(0.00-0.  II) 

(0.00-5.11) 

(0.07-0.21) 

(5.76-9.84) 

J  oa  six  CBichci  from  Feburary  I97S  to  February  1976. 
'Tr  -  0  005 -0  009  ppm 

'  Bucd  on  (hree  caichet  from  June  1975  (o  June  1976 
'  Bucd  on  two  calcbci  from  June  1975  to  r>ccembcr  1975. 


38 


Pesticides  Monitoring  Journal 


TABLE  4.  Pesticides  and  PCBs  in  muscles  of  freshwater  mullet,  upper  Great  Lakes. 


197 5 -It 


Lake 


Michigan  ^ 


Superior* 


Ventral 

Lateral 

line 

Dorsal 

Belly 
nap 

Ventral 

Lateral 

line 

Oonal 

Belly 

flap 

Ventral 

Lateral 

line 

Dorsal 

Belly 
nap 


Mean  Fat  Mean  Solids 

(Range).  %  (Range).  » 


0.83 
(0  55-1  03) 

5  44 
(1-50-8  25) 

1.10 
(0.50-1  90) 

3  51 
11.15-7  05) 

I  04 
(0.60-1  45) 

8.13 
(2.49-13  95) 

1.32 
(0,52-2  30) 

6.13 


19  94 

(17.25-22.20) 

24.26 
(17.25-29.45) 

20  II 
(17.05-21  65) 

21  55 
(19  00-26  90) 

20  59 
(19  85-21  30) 

26  70 
(21  30-31  45) 

20  53 
118  85-21,40) 

23  88 


(1. 85-11. 90)  (19.45-29,40) 

159  1968 

(0.87-2.30)  (1790-21.45) 

8  50  28  95 

16  80-10  20)  (2675-31.15) 

145  19,73 

(0  85-2  05)  (18.60-2085) 

3  93  24.13 

(2.00-5.85)  (2000-28.25) 


'  Based  on  six  catcfies  from 
■  Tr  =  0  005-0  009  ppm 
'  Based  on  three  catches  froi 
'  Based  on  two  catches  from 


Febritary  1975  to  February  1976. 

n  June  1975  to  June  1976 
June  1975  to  December  1975 


Mean  Dieldrin 


Mean  ZDDT 


Wet  Tissue 

(Range) 


0.02 

(Tr^-O  05) 

0  08 

(0  01-0.18) 

0.02 

(Tr-0  05) 

0  10 

(0  01-0  24) 

0.06 
(0.02-0.10) 

0,22 
(0,15-0  28) 

0  05 
0.02-0.10) 

0.26 

(0.19-0  34) 

0  04 

(Tr-0,08) 

0  12 

(0  02-0,22) 

0  02 

(Tr-0  04) 

0,09 

(0  02-0,15) 


Fat 
(Range) 


Wet  Tissue 
(Range) 


Fat 
(Range) 


3  39 
(Tr-ll  20) 

2  18 
(0,36-5,78) 

2.45 
(Tr-7.10) 

3.24 
(0  70-6.36) 

6  00 
(4  04-9  83) 

3.92 
(I  57-5.52) 

4  50 
(1.60-8.5 1) 

5  98 
(2.13-7.92) 

1.33 

(Tr-2.66) 

I  24 

(0,35-2.13) 

1  06 

(Tr-2  12) 

I  86 

(0.71-2.95) 


Residues,  ppih 


0.07 
(0  01-0  28) 

0  10 
(0.05-0  18) 

0.06 
(Tr-0. 20) 

0.13 
(0,03-0.36) 

0,06 
(0  03-0  II) 

0,28 
(0  16-0  41) 

0,22 
(0,16-0.34) 

0.37 
(0.13-0  55) 

0  07 
(Tr-0  14) 

0.37 
(0  03-0  70) 

0.04 
(0.01-0  06) 

0  13 
(0.01-0  24) 


10  06 
(1  22-38  69) 

2  43 

(0  62-5.39) 

5.27 
(0.63-20.47) 

3  91 

(1  67-6  29) 

6,32 
(3  28-11,11) 

4,32 
(I  99-6.00) 

6  91 
(I  80-13  36) 

7,77 
3,62-11.95) 

2.37 
(Tr-4.74) 

3,74 
(0  56-6  91) 

2.22 
(1.52-2.87) 

2  48 
(0  62-4  34) 


Mean  PCBs  as  Aioclou  1248 


Wet  Tissue 
(Range) 


Fat 
(Range) 


0  18 
(Tr-0  52) 

0,80 
(0,19-1   17) 

0  09 
(Tr-0  17) 

0  69 
(0,24-1  53) 

0,30 
(0  09-0.46) 

1.22 
(1.13-1. 31) 

0  21 
(0.02-0  34) 

1  33 
(0.35-2.44) 

0  08 
(0  06-0  10) 

0,42 
(0,27-0  57) 

0  08 
(0  08-0  08) 

0,21 
(0,13-0,28) 


32  20 

(Tr-120  02) 

16  93 

(9  44-23,45) 

10  83 

(Tr-16,43) 

21  03 

(7  06-41    19) 

29,20 
(16,59-40.42) 

22.10 
(9.47-40.84) 

15.12 
(3.44-23.38) 

24  49 
(10.22-49.20) 

7,85 
(4  92-10.77) 

5.71 
(2  75-8.66) 

7,32 
14  73-9  91) 

6.92 
(6.70-7.13) 


TABLE  5.  Mecury  levels  in  freshwater  mullet, 
upppr  Great  Lakes.  1975-76 


Lake 


Date  of 
Catch 


Michigan 
Superior 


While 

Fcbruarv  75 

While 

Mav  75 

While 

August  75 

Rcdhorse 

August  75 

White 

December  75 

White 

February  76 

Longnose 

June  75 

Longnose 

August  75 

White 

June  76 

While 

June  75 

White 

December  75 

Mercury. 

PPM 


0  03 
0  06 
0.09 
0.07 
0  06 
0  05 
0.21 
0.12 
0.28 
0  10 
0  06 


LITERATURE  CITED 

(1)  Frank.  R..  A.  E.  Armstrong.  R    G.  Boelens.  H    E    Braun. 
and  C.   W.  Douglas.  1974.  Organochlorine  insecticide  resi- 
dues in  sediment  and  fish  tissues,  Ontario,  Canada    Pestic 
Monit.  J.  7(3/4):I65-180. 


(2)  Gomez.  M.  I.,  and  P.  Markakis.  1974.  Mercury  content  of 
some  foods.  J.  Food  Sci.  39(4):673-675. 

(3)  Great    Lakes    Environmental  Contaminants  Survey.    1974. 
Michigan  Department  of  Agriculture,  Lansing,  MI.  p.  35. 

(4)  Great    Lakes    Environmental   Contaminants  Survey.    1975. 
Michigan  Department  of  Agriculture,  Lansing.  MI.  p.  25. 

(5)  Reineri.  R.  1970.  Pesticide  concentrations  in  Great  Lakes 
fish.  Pestic    Monit.  J.  3(4):233-240. 

(6)  Reinert.  R.  E..  and  H.  L.  Bergman.  1974.  Residues  of  DDT 
in   Lake   Trout    (Salvelinus  namoycush)    and   Coho   salmon 
(Oncorhynchus  kisutch)  from  the  Great  Lakes.  J    Fish    Res 
Board  Can   31(2):191-I99. 

(7)  Yadrick.  M.  K..  K.  Funk,  and  M.  E.  Zabik.  1971 .  Dieldrin 
residues  in  bacon  cooked  by  two  methods.  J.  Agric  Food 
Chem    19(3):491^94. 


Vol.  12,  No.  1,  June  1978 


39 


General 

Mirex  Incorporation  in  Estuarine  Animals,  Sediment,  and  Water, 
Mississippi  Gulf  Coast — 1972-74  ' 

Armando  A.  de  la  Cruz-  and  Kuang  Yang  Lue' 


ABSTRACT 

Analysis  of  mirex  residues  in  esiuarine  animuls,  seJimeins.  unci 
waters  collected  from  the  Mississippi  Gulf  Coast  in  1972-74 
showed  the  following  ranges  of  concentrations:  seston,  200- 
3000  pph:  molluscs.  36-500  pph:  fish.  0-259  ppb:  sediment. 
3-5  ppb:  and  water.  0-0.01  ppb.  These  data  indicate  that  mirex 
in  aquatic  environments  is  localized  in  animal  tissues  and  bot- 
tom substrate  and  that  only  a  negligible  amount  is  incorporated 
in  the  water 


Introduction 

In  1971-74.  the  authors  conducted  a  series  of  studies  on 
the  toxicity  and  ecological  and  physiological  effects  of 
mirex  on  nontarget  organisms.  The  three  areas  of  study 
included  residue  monitoring  and  toxicity,  effects  of  mirex 
on  certain  ecological  processes  of  plants  and  animals,  and 
physiological  effects  on  enzyme  systems.  The  results  of 
these  studies  are  cited  in  a  literature  review  by  Lue  (4). 

The  ecological  aspect  of  this  project  emphasizes  the  incor- 
poration of  mirex  in  the  environment  through  leaching  of 
the  insecticide  from  decaying  fire  ant  bait  in  the  field  (2, 
/O).  Mirex  residues  were  recovered  from  seafood  from  the 
Atlantic  and  Gulf  Coastal  states  (7),  in  terrestrial  and 
aquatic  invertebrates  from  Louisiana  (S),  and  in  other 
selected  organisms  (//).  During  these  studies,  therefore. 
the  authors  routinely  collected  samples  from  different 
habitats  (Q).  This  paper  reports  mirex  residues  detected  in 
samples  collected  from  an  estuarine  environment  on  the 
Mississippi  Gulf  Coast.  The  animal  samples  were  collected 
in  the  fall  of  1972.  the  sediment  samples  during  summer 
1973.  and  the  water  samples  in  1972  and  1974. 


Materials  and  Procedures 

COLLECTION  OF  SAMPLES 

The  animals  were  collected  manually  from  the  substrate  in 
St.  Louis  Bay  marsh  during  low  tide.  Those  from  Missis- 
sippi Sound  were  collected  by  using  a  shrimp  trawl.  The 
specimens  were  rinsed  of  mud  or  debris,  blotted  dry. 
wrapped  in  aluminum  foil,  and  frozen  until  analysis.  Water 
samples  were  collected  in  clean,  hexane-rinsed  lO-liter 
jugs  by  directly  filling  the  jugs  a  few  centimeters  beneath 
the  water  surface.  Water  samples  for  mirex  analysis  were 
refrigerated  when  not  immediately  processed.  Waters  in- 
tended for  seston  analysis  were  promptly  filtered  through 
AA  millipore  filters  (0.8-;j.m  porosity)  in  a  millipore 
vacuum-filtration  apparatus.  Seston  is  particulate  matter 
suspended  in  water  including  plankton,  organic  detritus, 
and  inorganic  silt.  Sediments  were  collected  by  an  Ekman 
dredge  from  St.  Louis  Bay  and  by  a  Petersen  dredge  from 
Mississippi  Sound.  The  samples  were  placed  in  clean, 
hexane-rinsed  wide-mouth  specimen  jars  and  refrigerated 
until  extraction. 


EXTRACTION  OF  SAMPLES 

Single  or  pooled  (2-10  specimens)  whole-body  samples  of 
animals  were  extracted  for  residue  analysis  according  to 
the  procedure  of  Naqvi  and  de  la  Cruz  (9).  Only  the  fleshy 
tissue  of  molluscs  was  extracted.  Specimens  were  rinsed 
with  distilled  water  to  remove  salt  and  briefly  dipped  in 
hexane  to  remove  any  external  insecticide  contamination. 
Samples  were  ground  in  nanograde  hexane  and  shaken 
vigorously,  and  the  decanted  solvent  was  evaporated  to 
dryness.  Prior  to  gas-liquid  chromatography,  the  extracts 
were  cleaned  by  using  activated  alumina. 


'  Sludy  lupponcd  by  Agricullural  Rcseirch  Servkt.  U  S    Dcpsnmcnl  of  Agncul 
lure.  Coopcrilive  Agrecmcm  No    12- 14-1001093}. 

'  I>cpartment  of  Biological  Sciences.  Mi»%isMppi  Slate  Univcr&ily.  P  O    Drawer  Z 
Mittisiippi  Slale.  MS  39762 

'  Depailment  of  Biology,  Taiwan  National  Normal  University.  88  Sec    5,  Taipei. 
Taiwan  117,  Republic  of  China 


Seston  samples  were  extracted  according  to  the  procedure 
in  the  Pesticide  .Aiuilyticat  Manual  {3)  for  small  samples. 
The  filter  paper  holding  the  seston  was  ground  in  a  tissue 
grinder  with  acetonitrile.  The  filter  paper  was  free  of  mirex 
when  checked  for  contamination.  The  extract  was  concen- 
trated and  reduced  to  a  suitable  volume  for  analvsis. 


40 


PhSIK  IDKS  MONl  TURING  JoUKNAl 


Water  was  extracted  with  nanograde  hexane  in  250-ml 
separatory  funnels;  150  ml  samples  were  shaken  vigorously 
with  50  ml  hexane  three  successive  times.  3  minutes  each 
time.  The  three  hexane  extracts  were  combined  and 
evaporated  to  a  volume  suitable  for  gas  chromatographic 
analysis. 

Samples  of  150  g  sediment  were  extracted  with  300  ml 
hexane-isopropanol  mixture  (3:1)  according  to  the  proce- 
dure of  Markin  et  al.  (6).  The  extract  was  filtered  through 
Na2S04  and  concentrated  to  10  ml. 


CHROMATOGRAPHY 

Extracts  of  all  samples  were  analyzed  in  a  Barber-Colman 
Pesticide  Analyzer  Model  5360  equipped  with  an 
electron-capture  detector.  A  152.4  mm  x  3.2  mm  glass 
column  was  used.  Standard  injection  techniques  were  used 
consistently  for  all  samples.  Extract  volumes  (2  ju.1)  were 
injected.  Information  about  operating  parameters  of  the 
analyzer  can  be  obtained  from  the  Physiological  Labora- 
tory, Department  of  Zoology,  IVississippi  State  University, 
Mississippi  State,  Mississippi  39762.  The  concentration  of 
mirex  was  calculated  with  the  following  formula: 

mirex  residue  =  Vwd2lWvd  \ 

where  W  =  weight  of  the  sample  in  grams,  V  =  volume 
of  final  extract  in  milliliters,  v  =  volume  of  extract  in- 
jected in  /xl,  w  =  weight  of  the  standard  injection  in 
nanograms,  d  \  =  peak  height  of  standard  solution, 
rfa  =  peak  height  of  extract.  A  second  column  (1.5  percent 
SP-250,  dimethylchlorosilane-treated  and  acid-washed) 
was  used  to  confirm  the  mirex  residues  recovered  from  the 
field  samples. 


Results  and  Discussion 

Mirex  residues  in  seston  and  animals  collected  from  St. 
Louis  Bay  and  Mississippi  Sound  are  summarized  in  Tables 
1  and  2.  Concentrations  in  seston  filtered  from  Mississippi 
Sound  water  (1000-3000  ppb)  is  one  order  of  magnitude 
higher  than  in  seston  from  St.  Louis  Bay  (200-800  ppb). 
Residues  in  the  animals  were  all  below  1  ppm  except  in  the 
fiddler  crab  Uca  (1.3  ppm).  The  molluscs,  i.e.,  snails, 
clams,  and  mussels,  from  St.  Louis  Bay,  which  are  ba- 
sically filter  feeders,  had  slightly  higher  levels  of  mirex 
(36-500  ppb)  than  did  the  other  invertebrates  from  Missis- 
sippi Sound  (0-133  ppb).  In  an  earlier  study,  Naqvi  and  de 
la  Cruz  (9)  found  70-410  ppb  mirex  in  snails  and  clams 
collected  from  a  similar  estuarine  habitat.  Residues  in  the 
fish  ranged  from  0  to  259  ppb. 

The  residue  levels  of  sediments  from  bay  and  sound  were 
essentially  similar  (Table  3)  and  fairly  low  (2.8-4.6  ppb). 
These  values  are,  however,  much  higher  than  the  residue 
levels  detected  in  the  water  samples  (0.001-0.010  ppb) 
from   Mississippi   Sound,   St.    Louis   Bay,   and  from   the 


TABLE  1 .   Mirex  residues  in  seston  '  and  animals  ^ 
from  Si.  Louis  Bay  marsh-estuary.  November  1972 


BlOMASS 

Extracted, 
G 

Residues 

.ppb' 

Specimen 

Col.  I 

Col.  n 

Seston 

0.07 

817.7 

9206 

0  26 

204  1 

235  0 

0.19 

2159 

199  7 

0.10 

408.8 

376,9 

Rangia  cuneata  (Clam) 

8.10 

331.3 

247,5 

3.00 

490.2 

450,0 

Modiolus  liemissus  (Ribbed  mussel) 

4  60 

183.8 

159  8 

3.00 

367 

71  3 

Melampus  bldeniolus  (Snail) 

3.80 

339  2 

265,2 

2  90 

471.4 

415,2 

0  65 

81  8 

0.0 

0.45 

118,2 

0.0 

Littorina  irrorala  (Snail) 

0.40 

130  9 

0  0 

0.80 

499  9 

31,3 

0.70 

75.9 

89  3 

0.70 

37,9 

0,0 

0.60 

66,5 

35  7 

Vca  sp   (Fiddler  crab) 

0.30 

1302,0 

2661,0 

Strong\lura  marina 

13,80 

50,9 

47,4 

(Atlantic  needlefish) 

'  Seslon  includes  suspended  paniculate  matier  consisting  of  plankton  organisms, 
organic  detritus,  and  inorganic  sediment  filtered  from  300  ml  of  water  with  0  8  /im 
Millipore  acetate  filter 

^  Animals  were  pooled  from  2-10  individuals  of  about  the  same  size.  Biomass 
represents  whole  tissue,  excluding  shells  and  molluscs 

*  All  analyses  were  done  with  two  columns  to  verify  the  mires  residue 

TABLE  2.  Mirex  residues  in  seston^  and  animals^ 
from  Mississippi  Sound,  September  1972 


Sponge 

Luidia  claihraia  (Starfish) 

LoUiguncula  hrevis  (Squid) 
Palaemonetes  sp.  (Grass  shrimp) 
Callmectes  sapidus  (Blue  crab) 

Squilla  empusa  (Mantis  shrimp) 

Bairdiella  chrysura  (Silver  perch) 

Bagre  marinus  (Gafflopsail  catfish) 

Porichlhys  porisissimus 
(Atlantic  midshipman) 

Eiropus  crossotus 
(Fringed  flounder) 

S\mphurus  plagiusa 
Blackcheek  tonguefish) 

Cynoscion  arenarius  (Sand  seatrout) 

Sirongylura  marina 
(Atlantic  needlefish) 


BlOMASS 

Residue! 

i.  PPB 

G 

Col  1 

Col.  II 

0,01 

3038  4 

2396.8 

0  03 

1507  8 

26298 

0  03 

1001,4 

4150  5 

0,23 

1172,7 

1321.1 

0,01 

3260,7 

2007  4 

0,02 

2291,8 

28149 

0,01 

2677,2 

2677.2 

0.01 

3243  4 

3003,7 

0.61 

133  5 

231  0 

7.24 

28  1 

37,0 

8.68 

24  0 

0,0 

5.40 

0,0 

0,0 

S.97 

13  6 

0  0 

2.77 

0,0 

0,0 

3.39 

0,0 

0,0 

15.84 

7  6 

106  0 

20,80 

3,7 

0,0 

18,00 

6  4 

6,4 

1.10 

1280 

207,8 

1.30 

22,0 

0  0 

8.30 

4  8 

0,0 

6.60 

1   1 

1  8 

11,70 

81,6 

97,0 

9.70 

15  9 

9.6 

9.20 

7.2 

_ 

11.30 

12  5 

11,7 

12.80 

110 

16  5 

45.00 

0,0 

0,0 

19  30 

259  1 

245  4 

18.00 

179.9 

132,0 

'  Seston  includes  suspended  particulate  matter  consisting  of  plankton  organisms 
organic  detritus,  and  inorganic  sediment  filtered  from  300  ml  of  water  with  0.8 
^m  Millipore  acetate  filter 
'  Animals  were  single  speciments;  whole-body  tissue  was  analyzed, 
'  All  analyses  were  done  with  two  columns  to  verify  the  mirex  residue. 


Vol.  12,  No.  1,  June  1978 


41 


Jordan  and  Wolf  Rivers  thai  empty  into  the  bay  (Table  4). 
Spence  and  Markin  (10)  found  that  the  highest  mirex  level 
in  natural  water  was  0.02  ppb.  In  a  separate  study  (5).  the 
authors  found  0.01  ppb  residue  in  samples  of  water  col- 
lected from  a  farm  pond.  The  residue  data  reported  in  this 
paper  indicate  that  mirex  in  aquatic  environments  is  lo- 
calized in  bottom  sediments,  animal  tissues,  and  in  par- 
ticulate matter,  i.e.,  seston,  suspended  in  the  water,  and 


TABLE  3.  Mirex  residues  in  esluarine  sediment. 
Mississippi  Gulf  Coast — 1973 


Residues. 

Collection 
Date 

Amount 
Extracted, 

G 

PPB 

' 

Location 

Col 

Col.  II 

St,  Louis  Bay  ' 

5/29/73 
6/18/73 
8/26/73 

100 

ino 
ion 

2.8 
3.9 
3  5 

5  0 
5  9 
5  3 

Mississippi  Sound  ' 

7/17/73 
7/19/73 

100 
100 

4-6 
3  5 

2  2 
5  2 

'  All  analyses  were  done  with  two  columns  to  verify  the  mirex  residue, 

*  Collected  by  an  Ekman  dredge  from  the  mouth  of  Catfish  Bayou  on  the  western 
side  of  the  bay 

*  Collected  by  a  Petersen  dredge  about  3  km  off  the  Biloxi-Ocean  Spring  coastline 


TABLE  4.  Mirex  residues  in  esluarine  water, 
Mississippi  Gulf  Coasi— 1972-74 


Sampling 
Site 


St  Louis  Bay 


Mi&sissippi  Sound 


Amount 

Residue 

.5.  ppb' 

Collection 

Extracted, 

DATE 

ML 

Col  I 

Col  n 

3/1/74 

4.000 

0,007 

0,000 

6/20/74 

4.000 

0,005 

0000 

0,009 

0,003 

0,004 

0,000 

snnA 

4.000 

0001 

0,001 

7/31/74 

4.000 

0,004 

0,001 

0.007 

0,000 

5/1/72 

4.000 

0000 

0  000 

4/4/72 

500 

0,000 

0000 

11/15/72 

500 

OOOO 

0000 

5/15/73 

4,000 

0,030 

0  001 

6/12/73 

4,000 

0000 

0000 

2/22/74 

4.000 

0,010 

0  003 

0000 

0001 

0004 

0  000 

0,000 

0000 

3/1/74 

4.000 

0004 

0  002 

4/6/74 

4.000 

0,000 

0,000 

9/23/72 

4.000 

0,000 

0,000 

O0O4 

0,000 

4/6/74 

4,000 

0000 

0  000 

'  All  analyses  were  done  with  two  columns  to  verify  the  mirex  residue, 
'  Samples  collected  a  few  kilometers  inland  from  St,  l^uis  Bay, 


that  only  negligible  amounts  of  mirex  are  incorporated  in 

the  water  (/.  10). 


LITERATURE  CITED 

(I)  Alley.  E.G  1973.  The  use  of  mirex  in  control  of  the 
imported  fire  ant.  J.  Environ.  Qual.  2(  1  ):52-61 . 

(2i  de  la  Cruz.  A.  A.,  and  K.  Y.  Lue .  I97S.  Mirex  incorpora- 
tion in  the  environment.  In  situ  decomposition  of  fire  ant 
bait  and  its  effects  on  two  soil  macroarthropods.  Arch. 
Environ.  Contam.  Toxicol.  7(1):47-6I. 

(3)  Food  and  Drug  Administration.  1970.  Pesticide  Analytical 
Manual.  Vol.  3,  U.S.  Department  of  Health,  Education, 
and  Welfare,  p.  40. 

(4)  Lue.  K.  Y.  1977.  Decomposition  properties  of  mirex  and 
bait  and  its  ecological  effects  on  selected  biotic  systems. 
Ph.D.  Dissertation.  Mississippi  State  University.  Missis- 
sippi State.  MS.  89  pp. 

(5)  Lue.  K.  Y..  and  A.  A.  de  la  Cruz  1978.  Mirex  incorpora- 
tion in  the  environment:  Toxicity  in  Hydra.  Bull.  Environ. 
Contam    Toxicol.  19(14):412-4I6. 

(6)  Markin.  G.  P..  J.  H.  Ford.  J  P.  Hawthorne.  J.  H. 
Spence.  J.  Davis.  H.  L.  Collins,  and  C.  D.  Loftis.  1972. 
The  insecticide  mirex  and  technique  for  monitoring.  U.S. 
Department  of  Agriculture-APHIS  81-3,  19  pp 

(7)  Markin.  G.  P..  J.  C    Hawthorne.  H.  L.  Collins,  and  J.  H 
Ford.    1974.    Levels   of   mirex   and    some   other   organo- 
chlorine  residues  in  seafood  from  Atlantic  and  Gulf  Coastal 
states.  Pestic.  Monit.  J.  7(3/4):  139-143. 

(8)  Markin.  G  P..  H  L.  Collins,  and  J  Davis.  1974.  Resi- 
dues of  the  insecticide  mirex  in  terrestrial  and  aquatic 
invertebrates  following  a  single  aerial  application  of  mirex 
bait,  Louisiana— 1971-72.  Pestic    Monit.  J.  8(2):  131-134. 

(9)  Naqvi.  S  M..  and  A.  A.  de  la  Cruz.  1973.  Mirex  incor- 
poration in  the  environment:  residues  in  nontarget 
organisms— 1972.  Pestic,  Monit    J,  7(2):104-l  1  1. 

(lOj  Spence.  J.  H.,  and  G.  P  Markin.  1974.  Mirex  residue  in 
the  physical  environment  following  a  single  bait  applica- 
tion, 1971-72.  Pestic,  Monit.  J.  8(2):  135-139. 

(II)  Wolfe.  J.  L.,  and  B.  R.  Norment.  1973.  Accumulation  of 
mirex  residues  in  selected  organisms  after  an  aerial  treat- 
ment, Mississippi— 1971-72.  Pestic.  Monit.  J.  7(2):112- 
116. 


42 


Pesticides  Monitoring  Journai 


APPENDIX 


Chemical  Names  of  Compounds  Discussed  in  This  Issue 


ALDRIN 

AROCLOR  1248 

DDD 

DDE 

DDT 

DIELDRIN 

ENDRIN 

HEPTACHLOR  EPOXIDE 

LINDANE 

MIREX 

PCBs  (polychlorinated  biphenyls) 
TDE 


Hexachlorohexahydro-endo.  exo-dimelhanonaphthalene  95%  and  related  compounds  5% 

PCB.  approximately  48%  chlorine 

See  TDE 

Dichlorodiphenyldichloroelhylene  (degradation  product  of  DDT) 

Dichlorodiphenyltnchloroethane 

Hexachloroepoxyoctahydro-endo,  exo-dimethanonaphlhalene  85%  and  related  compounds  15% 

Hexachloroepoxyoctahydro-endo,  endo-dimethanonaphthalene 

1 ,4.5.6.7,8.8-Heptachloro*2.3-epoxy-3a,4,7.7a-tetrahydro-4.7-melhanoindane 

Gamma  isomer  of  benzene  hexachloride  ( 1,2,3.4.5,6-hexachlorocyclohexane)  of  99+%  purity 

Dodecachlorooctahydro- 1 ,3.4-metheno- 1  H-cyclobuIa[cd]pentalene 

Mixtures  of  chlorinated  biphenyl  compounds  having  various  percentages  of  chlorine 
Dichlorodiphenyldichloroethane 


Vol.  12,  No.  1,  June  1978 


43 


Information  for  Contributors 


The  Pesticides  Monitoring  Journal  welcomes  from  all 
sources  qualified  data  and  interpretative  information  on 
pesticide  monitoring.  The  publication  is  distributed 
principally  to  scientists,  technicians,  and  administrators 
associated  with  pesticide  monitoring,  research,  and 
other  programs  concerned  with  pesticides  in  the  environ- 
ment. Other  subscribers  work  in  agriculture,  chemical 
manufacturing,  food  processing,  medicine,  public  health, 
and  conservation. 

Articles  are  grouped  under  seven  headings.  Five  follow 
the  basic  environmental  components  of  the  National 
Pesticide  Monitoring  Program:  Pesticide  Residues  in 
People;  Pesticide  Residues  in  Water;  Pesticide  Residues 
in  Soil;  Pesticide  Residues  in  Food  and  Feed;  and 
Pesticide  Residues  in  Fish,  Wildlife,  and  Estuaries.  The 
sixth  is  a  general  heading;  the  seventh  encompasses 
briefs. 

Monitoring  is  defined  here  as  the  repeated  sampling  and 
analysis  of  environmental  components  to  obtain  reliable 
estimates  of  levels  of  pesticide  residues  and  related 
compounds  in  these  components  and  the  changes  in 
these  levels  with  time.  It  can  include  the  recording  of 
residues  at  a  given  time  and  place,  or  the  comparison  of 
residues  in  different  geographic  areas.  The  Journal  will 
publish  results  of  such  investigations  and  data  on  levels 
of  pesticide  residues  in  all  portions  of  the  environment 
in  sufficient  detail  to  permit  interpretations  and  con- 
clusions by  author  and  reader  alike.  Such  investigations 
should  be  specifically  designed  and  planned  for  moni- 
toring purposes.  The  Journal  does  not  generally  publish 
original  research  investigations  on  subjects  such  as 
pesticide  analytical  methods,  pesticide  metabolism,  or 
field  trials  (studies  in  which  pesticides  are  experimen- 
tally applied  to  a  plot  or  field  and  pesticide  residue  de- 
pletion rates  and  movement  within  the  treated  plot  or 
field  are  observed). 

Authors  are  responsible  for  the  accuracy  and  validity 
of  their  data  and  interpretations,  including  tables,  charts. 
and  references.  Pesticides  ordinarily  should  be  identi- 
fied by  common  or  generic  names  approved  by  national 
or  international  scientific  societies.  Trade  names  are 
acceptable  for  compounds  which  have  no  common 
names.  Structural  chemical  formulas  should  be  used 
when  appropriate.  Accuracy,  reliability,  and  limitations 
of  sampling  and  analytical  methods  employed  must  be 
described  thoroughly,  indicating  procedures  and  con- 
trols used,  such  as  recovery  experiments  at  appropriate 
levels,  confirmatory  tests,  and  application  of  internal 
standards  and  interlaboratory  checks.  The  procedure 
employed  should  be  described  in  detail.  If  reference  is 
made  to  procedures  in  another  paper,  crucial  points  or 
modifications  should  be  noted.  Sensitivity  of  the  method 
and    limits   of   detection   should   be   given,   particularly 


when  very  low  levels  of  pesticide  residues  are  being 
reported.  Specific  note  should  be  made  regarding  cor- 
rection of  data  for  percent  recoveries.  Numerical  data, 
plot  dimensions,  and  instrument  measurements  should 
be  reported  in  metric  units. 

PREPARATION  OF  MANUSCRIPTS 

Prepare  manuscripts  in  accord  with  the  CBE  Style 

Manual,  third  edition.  Council  of  Biological  Edi- 
tors, Committee  on  Form  and  Style,  American 
Institute  of  Biological  Sciences,  Washington,  D.C., 
and/or  the  U.S.  Government  Printing  Office  Style 
Manual.  For  further  enrichment  in  language  and 
style,  consult  Strunk  and  White's  Elements  of  Style, 
second  edition,  MacMillan  Publishing  Co.,  New 
York,  N.Y.,  and  A  Manual  of  Style,  twelfth  edi- 
tion. University  of  Chicago  Press,  Chicago,  111. 

On  the  title  page  include  authors'  full  names  with 

affiliations  and  addresses  footnoted;  the  senior 
author's  name  should  appear  first.  Authors  are 
those  individuals  who  have  actually  written  or 
made  essential  contributions  to  the  manuscript  and 
bear  ultimate  responsibility  for  its  content.  Use 
the  Acknowledgment  section  at  the  end  of  the 
paper  for  crediting  secondary  contributor? 

Preface  each  manuscript  with  an  informative  ab- 
stract not  to  exceed  200  words.  Construct  this 
piece  as  an  entity  separate  from  the  paper  itself; 
it  is  potential  material  for  domestic  and  foreign 
secondary  publications  concerned  with  the  topic  of 
study.  Choose  language  that  is  succinct  but  not 
detailed,  summarizing  reasons  for  and  results  of 
the  study,  and  mentioning  significant  trends.  Bear 
in  mind  the  literature  searcher  and  his/her  need 
for  key  words  in  scanning  abstracts. 

Forward  original  manuscript  and  three  copies  by 

first-class  mail  in  flat  form:  do  not  fold  or  roll. 

Type    manuscripts   on    8'/2-by-l  1-inch   paper   with 

generous  margins  on  all  sides,  and  end  each  page 
with  a  completed  paragraph.  Recycled  paper  is 
acceptable  if  it  does  not  degrade  the  quality  of 
reproduction.  Double-space  all  copy,  including 
tables  and  references,  and  number  each  page. 

Place    tables,    charts,    and    illustrations,    properly 

titled,  at  the  end  of  the  article  with  notations  in 
the  text  to  show  where  they  should  be  inserted. 
Treat  original  artwork  as  irreplaceable  material. 
Lightly  print  author's  name  and  illustration  number 
with  a  ballpoint  pen  on  the  back  of  each  figure. 
Wrap  in  cardboard  to  prevent  mutilation;  do  not 
use  paperclips  or  staples. 

Letter  charts  distinctly  so  that  numbers  and  words 

will  be  legible  when  reduced.  Execute  drawings  in 


44 


Pesticides  Monitoring  Journal 


black  ink  on  plain  white  paper.  Submit  original 
drawings  or  sharp  glossy  photographs;  no  copies 
will  be  accepted. 

Number   literature  citations   in   alphabetical   order 

according  to  author.  For  journal  article  include, 
respectively,  author,  year,  title,  journal  name  as 
abbreviated  in  Chemical  Abstracts  Service  Source 
Index,  and  volume,  issue,  and  page  numbers.  For 
book  references  cite,  respectively,  author,  year, 
chapter  title,  pages,  and  editor  if  pertinent,  book 
title,  and  name  and  city  of  publisher.  For  Govern- 
ment manuals  list  originating  agency  and  relevant 
subgroup,  year,  chapter  title  and  editor  if  perti- 
nent, manual  title,  and  relevant  volume,  chapter, 
and/or  page  numbers.  Do  not  list  private  com- 
munications among  Literature  Cited.  Insert  them 
parenthetically  within  the  text,  including  author, 
date,  and  professional  or  university  affiliation  in- 
dicating author's  area  of  expertise. 

The  Journal  welcomes  brief  papers  reporting  monitor- 
ing data  of  a  preliminary  nature  or  studies  of  limited 
scope.  A  section  entitled  Briefs  will  be  included  as 
necessary  to  provide  space  for  short  papers  which  pre- 
sent timely  and  informative  data.  These  papers  must  be 
limited  to  two  published  pages  (850  words)  and  should 
conform  to  the  format  for  regular  papers  accepted  by 
the  Journal. 

Manuscripts  require  approval  by  the  Editorial  Advisory 
Board.  When  approved,  the  paper  will  be  edited  for 
clarity    and    style.    Editors    will    make    the    minimum 


changes  required  to  meet  the  needs  of  the  general 
Journal  audience,  including  international  subscribers 
for  whom  English  is  a  second  language.  Authors  of 
accepted  manuscripts  will  receive  edited  typescripts  for 
approval  before  type  is  set.  After  publication,  senior 
authors  will  receive  100  reprints. 

Manuscripts  are  received  and  reviewed  with  the  under- 
standing that  they  have  not  been  accepted  previously 
for  publication  elsewhere.  If  a  paper  has  been  given 
or  is  intended  for  presentation  at  a  meeting,  or  if  a 
significant  portion  of  its  contents  has  been  published 
or  submitted  for  publication  elsewhere,  notations  of 
such  should  be  provided.  Upon  acceptance,  the  original 
manuscript  and  artwork  become  the  property  of  the 
Pesticides  Monitoring  Journal. 

Every  volume  of  the  Journal  is  available  on  microfilm. 
Requests  for  microfilm  and  correspondence  on  editorial 
matters  should  be  addressed  to: 

Paul  Fuschini  (WH-569) 

Editorial  Manager 

Pesticides  Monitoring  Journal 

U.S.  Environmental  Protection  Agency 

Washington,  D.C.  20460 

For  questions  concerning  GPO  subscriptions  and  back 
issues  write: 

Superintendent  of  Documents 
U.S.  Government  Printing  Office 
Washington,  D.C.  20402 


Vol.  12,  No.  1,  June  1978 


45 


The  Pesticides  Monitoring  Journal  is  published  quarterly  under  the  auspices  of  the 
Federal  Working  Group  on  Pest  Management  (responsible  to  the  Council  on  Environ- 
mental Quality)  and  its  Monitoring  Panel  as  a  source  of  information  on  pesticide 
levels  relative  to  humans  and  their  environment. 

The  Working  Group  is  comprised  of  representatives  of  the  U.S.  Departments  of  Agri- 
culture; Commerce;  Defense;  the  Interior;  Health,  Education,  and  Welfare;  State; 
Transportation;  and  Labor;  and  the  Environmental  Protection  Agency. 

The  Monitoring  Panel  consists  of  representatives  of  the  Agricultural  Research  Service, 
Animal  and  Plant  Health  Inspection  Service,  Extension  Service.  Forest  Service, 
Department  of  Defense.  Fish  and  Wildlife  Service,  Geological  Survey,  Food  and  Drug 
Administration,  Environmental  Protection  Agency,  National  Marine  Fisheries  Service, 
National  Science  Foundation,  and  Tennessee  Valley  Authority. 

The  Pesticides  Monitoring  Journal  is  published  by  the  Technical  Services  Division, 
Office  of  Pesticide  Programs,  U.S.  Environmental  Protection  Agency. 

Pesticide  monitoring  activities  of  the  Federal  Government,  particularly  in  those  agencies 
represented  on  the  Monitoring  Panel  which  participate  in  operation  of  the  national 
pesticides  monitoring  network,  are  expected  to  be  the  principal  sources  of  data  and 
articles.  However,  pertinent  data  in  summarized  form,  together  with  discussions,  are 
invited  from  both  Federal  and  non-Federal  sources,  including  those  associated  with 
State  and  community  monitoring  programs,  universities,  hospitals,  and  nongovernmental 
research  institutions,  both  domestic  and  foreign.  Results  of  studies  in  which  monitoring 
data  play  a  major  or  minor  role  or  serve  as  support  for  research  investigation  also 
are  welcome;  however,  the  Journal  is  not  mtended  as  a  primary  medium  for  the 
publication  of  basic  research.  Publication  of  scientific  data,  general  information,  trade 
names,  and  commercial  sources  in  the  Pesticides  Monitoring  Journal  does  not  represent 
endorsement  by  any  Federal   agency. 

Manuscripts  received  for  publication  are  reviewed  by  an  Editorial  Advisory  Board 
established  by  the  Monitoring  Panel.  Authors  are  given  the  benefit  of  review  comments 
prior  to  publication.  For  further  information  on  Journal  scope  and  manuscript  prepara- 
tion, see  Information  for  Contributors  at  the  back  of  this  issue. 

Editorial  Advisory   Board  members   are: 

John  R.  Wessel,  Food  and  Drug  Administration,  Chairman 

Robert  L.  Williamson,  Animal  and  Plant  Health  Inspection  Service 

Anne  R.  Yobs,  Center  for  Disease  Control 

William  F.  Durham,  Environmental  Protection  Agency 

Gerald   E.   Walsh,   Environmental  Protection  Agency 

G.   Bruce   Wiersma,   Environmental  Protection  Agency 

William  H.  Stickel,  Fish  and  Wildlife  Service 

Milton   S.   Schechter,  Agricultural  Research  Service 

Herman    R.    Feltz,    Geological   Survey 

Address  correspondence  to; 

Paul    Fuschini    (WH-569) 

Editorial    Manager 

Pesticides    Monitoring   Journal 

U.  S.  Environmental  Protection  Agency 

Washington,   D.C.    20460 


Editor 
Martha  Finan 


CONTENTS 


Volume  12  -  September  1978  Number  2 

Page 
SOIL 

Biomacil  and  diiiroii  residue  levels  in  Florida  citris  soils   ,  47 

David  P.  H.  Tucker 

FISH,  WILDLIFE,   AND  ESTUARIES 

Residues  of  peslieides  and  PCBs  in  estnarine  fish.  1972-76 — 

National  Pesticide  Monitoring  Program    51 

Philip  A.  Butler  and  Roy  L.  Schutzmann 

Residues  of  organochlorine  insecticides  and  polychlorinated  hiphenyls  in  fisli  from  Lakes  Huron  and  Superior, 

Canada— 1968-76 60 

Richard  Frank,  Micheline  Holdrinet,  Heinz  E.  Braun,  Douglas  P.  Dodge,  and  George  E.  Spangler 

Residues  of  organochlorine  in'^ecticides  and  polychlorinated  hiphenyls  in  fish  from  Lakes  Saint  Clair  and  Erie. 

Canada~196S-76  69 

Richard  Frank,  Heinz  E.  Braun,  Micheline  Holdrinet,  Douglas  P.  Dodge,  and  Stephen  J.  Nepszy 

Organochlorine  residues  in  aquatic  environments  in  Iran.  1974     S 


A.  Sodergren,  R.  Djirsarai,  M.  Gharibzadeh,  and  A.  Moinpour 

Chloriiuited  hydrocarbon  pesticide  residues  in  Pacific  oysters  (Crassostrea  gigas)  from  Tasmania.  Australia — 1973 _  87 

Colin  Edward  Sumner 

FOOD  AND  FEED 

DDT  residues  in  butter  and  inf(mt  formula  in  India.  1977    91 

G.  S.  Dhaliwal  and  R.  I  .  Kaira 

GENERAL 

Organochlorine  pesticides  iu\d  polychlorinated  hiphenyls  on   sediments  from   a   subarctic   salt   marsh, 

Jimtes  Bay,  Canada — 1976  94 

W.  A.  Glooschenko  and  R.  C.  J.  Sampson 

APPENDIX 96 

liijorntalion  for  Coiilribulors  97 


SOIL 


Bromacil  and  Diuron  Residue  Levels  in  Florida  Citrus  Soils^ 


David  P.  H.  Tuckers 


ABSTRACT 

The  widespread  use  of  herbicides  in  Florida  citrus  f,>rores 
raises  the  possibility  of  residue  uccuinulalion  following 
repeated  applications.  To  determine  residue  levels  of  com- 
monly used  herbicides,  soil  samples  were  taken  from  larf>e 
experimental  plots  in  commercial  furores  in  Polk  and  Hardee 
Counties.  Bromacil  and  diuron  had  been  applied  in  com- 
bination at  both  locations  for  7-8  years.  Analyses  of  san\ples 
showed  low  levels  of  both  herbicides  at  various  soil  depths 
to  60  cm.  Only  a  small  amount  of  bromacil  was  detectable 
one  year  after  application,  but  diuron  levels  were  higher. 
Continuous  applications  at  recommended  rates  and  frequen- 
cies have  resulted  in  ma.ximum  bromacil  and  diuron  levels 
of  3.9  percent  and  13.1  percent,  respectively,  of  their  total 
application. 

Introduction 

Integrated  weed  control  programs  used  on  large  acreages 
of  citrus  in  Florida  include  herbicides,  various  cultiva- 
tion practices,  limited  hand  labor,  and  naturally  occur- 
ring weed  pathogens  and  insect  pests.  Herbicides  have 
been  widely  used  for  the  past  decade,  and  have  been 
applied  annually  to  a  large  percentage  of  nonbearing  and 
young-bearing  acreage.  Herbicides  are  now  used  on 
older  groves  to  control  rapidly  increasing  annual  and 
perennial  vines  which  thrive  under  tree  canopies. 

This  widespread  use  of  predominantly  soll-sterilant  herbi- 
cides has  caused  concern  about  their  accumulation  with 
repeated  application.  Therefore,  continued  monitoring 
of  their  residual  levels  in  major  citrus-growing  soil  types 
is  warranted. 

Bromacil  and  diuron  are  degraded  in  the  soil  by  bio- 
logical   and    nonhiological    means,    and    they    may    be 


'University  of  Florida,  Cooperative  Extension  Service,  Institute  of 
Food  and  Agricultural  Sciences,  Agricultural  Research  and  Education 
Center,  Lake  Alfred,  FL  3.1850. 

-Extension  Horticulturist,  University  of  Florida,  Agricultural  Researcli 
and  Education  Center,  Lake  Alfred,  FL  33850. 


altered  by  one  or  more  mechanisms  including  microbial 
decomposition,  adsorption,  volatilization,  leaching, 
chemical  degradation,  and  plant  uptake  {2,5,7,8).  A 
number  of  review  papers  on  this  general  subject  have 
been  presented  (3.  4).  The  persistence  of  soluble 
herbicides  in  soils  in  forms  to.xic  to  plants  is  likely  to  be 
less  serious  in  humid  areas  such  as  Florida  than  in  more 
arid  citrus-growing  regions.  The  amount,  frequency, 
and  intensity  of  rainfall  is  important  to  herbicide  lon- 
gevity in  soil  since  moisture  atfects  herbicide  efficacy 
and  mode  of  dissipation. 

Tucker  and  Phillips  (9)  sampled  the  major  citrus- 
growing  soil  types  which  had  received  repeated  applica- 
tions of  herbicides.  Analyses  of  these  samples  for 
bromacil,  terbacil,  dichlobenil,  and  trifluralin  showed  a 
fairly  predictable  annual  rate  of  dissipation  from  the 
top  45  cm  of  the  soil  profile.  The  results  precluded  the 
possibility  of  any  substantial  tcxicity  to  citrus  trees  due 
to  accumulation  in  the  soils  following  repeated  applica- 
tions at  recommended  rates.  The  present  paper  presents 
additional  data  showing  levels  of  bromacil  and  diuron 
following  their  commercial  application  to  two  soil  types 
at  two  grove  locations  over  7-8  years.  Residue  levels 
are  shown  at  different  locations  under  the  tree  canopy 
and  at  various  depths. 

Sampling  and  Aiutlysis 

In  1969  and  1970,  paired  lO-acre  blocks  of  citrus  were 
selected  in  commercial  groves  in  Polk  and  Hardee 
Counties.  Soil  types  were  Astatula  fine  sand  (95  per- 
cent sand,  0.42  percent  organic  matter,  pH  7.8)  and 
Mayakka  fine  sand  (99  percent  sand,  0.38  percent 
organic  matter,  pH  7.3),  respectively.  Annual  rainfall 
at  both  locations  averaged  114-127  cm.  The  Hardee 
County  grove  has  a  permanent  overhead  irrigation 
system  with  supplemental  irrigation  averaging  30-50 
cm/year.  The  Polk  County  grove  receives  only  occa- 
sional supplemental  irrigation.  At  each  site,  weeds  were 
controlled   by   tillage   in   one   block   and   by   broadcast 


Vol,  12,  No.  2,  September  1978 


47 


herbicides  in  the  other.  Generally,  weed  control  was 
satisfactory  with  one  application  ot  herbicide  each  year. 
However,  in  some  years,  herbicides  were  rc-applied  when 
weed  growth  resumed  before  the  end  of  the  season. 

Herbicides  were  sprayed  by  a  machine-mounted  boom  to 
the  entire  grove  floor  area  rather  than  in  strips  down 
tree  rows.  Wettable  powder  formulations  of  bromacil 
( 5-bromo-3-sec-butyl-6-methyluracil)  and  diuron  [3- 
(3.4-dichlorophenyl)-l,l-dimethylurea]  in  tank  mixes 
or  as  a  chemically  blended  combination  were  used 
throughout  the  experimental  period.  Soil  samples  were 
collected  with  a  2.2-cm-ID  soil  tube  from  0-  to  15-cm 
and  15-  to  30-cm  depths  at  both  locations  except  at  one 
sampling  time  when  samples  were  also  taken  from  30- 
to  45-cm  and  45-  to  60-cm  depths.  Each  sample  was  a 
composite  of  10  subsamples.  Samples  were  taken  in 
row  middles  between  trees,  at  the  drip  line  or  tree 
canopy  edge,  and  under  the  tree  canopy.  There  were 
three  separate  sampling  times  in  Polk  County  and  two 
in  Hardee  County.  Care  was  taken  in  obtaining  the 
lower  depth  samples  to  avoid  the  top  soil  layers  falling 
into  the  holes.  To  assure  this,  samples  were  taken 
during  optiniLmi  soil  moisture  conditions.  Samples 
were  stored  at  —  lO'F  before  shipment  for  residue 
analyses  by  the  Dupont  Company.  Samples  were 
analyzed  for  bromacil  by  the  microcoulometric  gas 
chromatographic  method  of  Pease  (6),  and  for  diuron 
colorimetrically  after  chromatographic  cleanup  by  the 
method  of  Dalton  and  Pease  (/). 

Results  and  Discussion 

The  data  in  Table  1  show  that  concentrations  of  bro- 
macil and  diuron  at  depths  sampled  are  very  low  in  both 
locations  compared  to  the  total  amoimts  applied  over 
the  7-8-year  experimental  period.  The  levels,  as  per- 
centages of  the  total  amounts  applied,  range  from  0.3 
to  3.9  for  bromacil  and  from  3.7  to  13.1  for  diuron.  As 
percentages  of  the  last  application  only,  they  range  from 
2.5  to  31.0  for  bromacil  and  33.6  to  84.6  for  diuron. 
This  indicates  that  a  substantial  part  of  the  residues 
remains  from  the  latest  application  within  one  year  of 
sampling. 

Residues  of  diuron  remained  at  considerably  higher 
levels  in  the  soil  than  did  those  ot  bromacil.  This  is 
influenced  primarily  by  their  relative  water  solubilities: 
800  ppm  for  bromacil  and  42  ppm  for  diuron.  Residue 
levels  do  not  appear  to  be  influenced  by  the  location  of 
sampling.  Since  precipitation  is  greater  on  the  tree 
drip  line  due  to  the  umbrella  elTcct  of  the  tree  canopy, 
leaching  would  also  be  greater,  resulting  in  an  earlier 
breakdown  in  weed  control. 


Other  factors  which  may  influence  residue  levels  at 
various  sampling  locations  include  photodecomposition 
of  diuron,  probably  greatest  in  the  row  middles  due  to 
the  high  light  intensity.  Under  tree  canopies,  where 
sunlight  breakdown  and  precipitation  would  be  less, 
adsorption  of  herbicides  by  organic  matter  and  break- 
down by  microorganisms  would  be  greater.  Another 
factor  to  consider  is  that  spray  coverage  is  frequently 
poorer  in  areas  where  tree  canopies  hinder  equipment 
movement. 

Inadequate  spray  coverage  in  the  tree  row  also  is 
frequently  due  to  poor  overlap  of  spray  patterns.  In 
most  cases,  bromacil  was  more  evenly  distributed 
throughout  the  profile  depth  sampled  than  was  diuron 
where  higher  concentrations  were  consistently  found  in 
the  sLirface  layers.  Again,  this  is  a  reflection  of  the 
much  lower  solubility  of  diuron  and  hence  its  slower 
movement  through  leaching.  Overall  residue  levels  of 
both  herbicides  were  higher  in  the  Mayakka  fine  sand 
of  Hardee  County  than  in  the  Astatula  fine  sand  of 
Polk  County. 

Bromacil  levels  in  control  samples  taken  from  cultivated 
plots  are  at  or  very  close  to  the  lower  end  of  the  detec- 
tion limit  of  the  test  procedure.  Siich  background  levels 
are  not  unusual  in  analyses  of  soils  for  herbicide  residues. 
The  levels  of  diuron  are,  however,  more  finite,  and  an 
explanation  of  these  levels  in  the  nontreated  soil  sample 
is  more  difticult.  Contamination  of  soil  in  the  cultivated 
blocks  may  have  occurred  when  sandy  soils  were  blown 
in  during  the  dry  windy  season  or  washed  in  during 
heavy  rains.  Equipment  movement  throughout  the 
experimental  areas  may  also  account  for  some  move- 
ment of  herbicides  in  the  surface  soil.  The  fact  that 
diuron  remains  in  the  sLirface  of  the  soil  profile  for 
longer  periods  would  allow  for  greater  movement  than 
bromacil  which  is  more  rapidly  moved  into  the  lower 
soil  profile. 

From  the  data  presented,  it  is  evident  that  bromacil  and 
diuron  levels  are  relatively  low  in  the  ()-60-cm  layers  of 
the  soil  types  sampled.  Since  soil  was  not  sampled 
below  60  cm,  the  extent  of  residue  movement  through 
leaching  into  the  lower  soil  profile  is  unknown.  However, 
the  data  suggest  that  residue  levels  do  decrease  with 
depth.  Although  soil  samples  were  not  collected  yearly, 
the  data  indicate  that  the  degree  of  accumulation  would 
not  lead  to  cumulative  levels  toxic  to  citrus  at  rates 
used  in  commercial  practice.  This  statement  is  supported 
by  the  fact  that  the  tree  foliage  has  not  exhibited  phyto- 
loMcity  symptoms  throughout  the  experimental  period. 
Rather,  residues  are  steadily  dissipating  through  leaching 
and  ileizradation. 


48 


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Vol.  12,  No.  2,  September  1978 


49 


LITERATURE  CITED 

(/)  Dulton.  R.  L..  and  H.  I..  Pease.  1962.  Delerminution  of 
residues  of  diuron.  monuion,  fenuron,  and  neburon. 
J.  Assoc.  Off.  Agric.  Chem.  45(  2  )  :377-38l. 

(2)  Ganlincr,  J.  A.,  et  al.  1969.  Synthesis  and  studies  with 
2-C'^-labeled  bromacil  and  lerbacil.  J.  Agric.  Food 
Chem.  17(5)  :980. 

(.?)  Geisshiililer,  //..  and  G.  Vos.^.  1971.  MetaboMsm  of 
substituted  urea  herbicides.  Pages  305-322,  in  A.  S. 
Tahori  (ed.).  Pesticide  Terminal  Residues.  Interna- 
tional Union  of  Pure  and  Applied  Chemistry  Sym- 
posium, Tel-Aviv,  Israel. 

(4)  Coring,  C.  A.  I.,  D.  A.  Laskowski.  J.  W.  Hanutker,  and 
R.  W.  Meikle.  1974.  Pages  135-172  in  Riswanul 
Haque  and  V.  H.  Freed  (eds.).  Environmental  dynam- 


ics   of    pesticides.    Proc.    Symp.    Environ.    Dynami(;s 
Pestic,  Los  Angeles,  CA. 

{5)  Hill.  G.  D.,  et  al.  1955.  The  fate  of  substituted  urea 
herbicides  in  agricultural  soil.  Agron.  J.  47:93-104. 

(6)  Pease,  H.  L.  1966.  Determination  of  bromacil  residues. 
J.  Agric.  Food  Chem.  14(l):94-96. 

(7)  Rhodes,  R.  C.  I.  J.  Belasco.  and  H.  L.  Pease.  1970. 
Determination  of  mobility  and  adsorption  of  agri- 
chemicals  in  soils.  J.  Agric.  Food  Chem.  18(3)  :524— 
528. 

(cS)  Torgc.son,  D.  C,  and  H.  Mee.  1976.  Microbial  degra- 
dation of  bromacil.  Proc.  NEWCC  21:584. 

(9)  Tucker.  D.  P.,  and  R.  L.  Phillips.  1969.  Movement  and 
degradation  of  herbicides  in  Florida  citrus  soils.  Fla. 
State  Hort.  Soc.  81:72-75. 


50 


Pesticides  MoNriouiNc.  Journal 


FISH,  WILDLIFE,  AND  ESTUARIES 


Residues  of  Pesticides  and  PCBs 
in  Estuarine  Fish,  1972-76 — National  Pesticide  Monitoring  Program 

Philip  A.  Butler'  and  Roy  L.  Schiitzmann^ 


ABSTRACT 

This  report  .summarizes  1524  analyses  of  juvenile  fish  col- 
lected semiannually  in  144  estuaries  nationwide  from  July 
1972  through  June  1976.  Pooled  samples  of  25  whole  fish 
were  screened  for  20  common  pesticides  and  polychlorinated 
biphenyls  (PCBs).  The  three  most  common  residues.  DDT. 
PCBs,  and  dieldrin,  were  found  in  J9,  22,  and  5  percent  of 
the  samples,  respectively.  Data  indicate  that  estuarine 
pollution  levels  continue  to  decline. 

[iitroiliiclioil 

The  economic  and  aesthetic  importance  of  estuaries 
prompts  many  investigations  to  determine  the  causes  and 
effects  of  imbalances  in  these  sensitive  ecosystems.  The 
most  comprehensive  program  was  the  monthly  surveil- 
lance in  1965-72  for  pesticide  pollution  of  molkiscan 
populations  (4).  The  nationwide  study  identified  the 
widespread  contamination  of  estuarine  fauna  with  DDT 
and  demonstrated  that  DDT  levels  had  peaked  and  were 
declining. 

The  persistence  of  DDT  and  other  synthetic  organo- 
chlorines  made  it  desirable  to  continue  monitoring 
estuarine  areas,  but  it  was  necessary  to  reduce  the  ana- 
lytical workload  of  the  monitoring  program.  Unfortu- 
nately, residue  data  from  molluscan  populations  are  best 
understood  when  obtained  contintially.  The  animals 
purge  themselves  rapidly  when  pollution  loading  is 
intermittent  (i). 

The  literature  on  accumulation  and  long  storage  of 
synthetic  compounds  by  fish  indicated  that  fish  could  be 
sampled  less  frequently  than  mollusks.  However,  little 
information  was  available  on  the  sensitivity  or  selectivity 


^Ecological  Monitoring  Branch.  Technical  Services  Division,  U.S.  En- 
vironmental Protection  Agency,  Gulf   Breeze.   FL  .tZSbl. 

=  Ecological  Monitoring  Branch,  Pesticides  Monitoring  Laboratory, 
U.S.   Environmental   Protection    Agency,    Bay    St.   Louis,    MS    39529. 


of  different  species  of  fish  in  acquiring  residues  of  specific 
pollutants  or  combinations  of  pollutants.  Also,  it  was 
difficult  to  determine  when  and  where  migratory  species 
acquired  residues. 

Sample  Selection  ciitd  Collection 

Many  species  of  estuary  fish  spend  only  their  first  year 
within  a  single  estuary;  other  species  may  spend  their 
lifetime  in  an  estuary.  Presumably,  fish  less  than  a  year 
old  would  reflect  pollution  levels  during  the  preceding 
few  months  at  or  near  where  they  were  caught.  So, 
each  estuary  was  monitored  at  6-month  intervals  in  the 
spring  and  fall. 

The  geographic  e.xtent  of  this  program  meant  that  com- 
parisons of  residues  in  ditTerent  species  would  be  ques- 
tionable. Consequently,  in  a  given  estuary,  the  same  two 
species  of  fish  were  collected  for  the  duration  of  the  pro- 
gram. The  two  species  represented  different  food  webs, 
e.g.,  a  carnivore  and  a  particle  feeder.  This  manner  of 
sampling  made  it  possible  to  detect  pollution  trends  over 
the  4-year  period. 

Fish  were  collected  with  trawls  and  beach  seines  in  144 
primary  and  secondary  estuaries  in  19  coastal  states, 
Puerto  Rico,  and  the  Virgin  Islands.  Monitoring  in 
Alaska,  Hawaii,  and  Mississippi  was  limited  to  one 
year,  but  in  most  areas,  si.K  to  eight  semiannual  collec- 
tions were  made  during  five  calendar  years.  The  154 
species  collected  represent  52  of  the  175  families  of 
marine  fishes  of  North  America  (/).  Some  species  and 
estuaries  were  monitored  only  once  to  identify  possible 
problem  areas.  More  than  60  species  were  sampled  at 
least  three  times,  and  22  species  were  collected  in  the 
estuaries  of  three  or  more  states  (Tables  1,2).  About 
38,000  fish  were  analyzed  in  groups  which  made  up 
1524  samples. 


Vol.  12,  No.  2,  September  1978 


51 


TABLE 

1 .     Suiniiuiry  of  cstuariiie  fish  colh 

■clions. 

July 

1972-Junc  1976 

Number 

Number 

Number 

Number 

OF  Years 

OF 

OF  Fish 

OF 

Coastal  Area 

MoNnoRED 

Estuaries 

Species 

Samples' 

Alabama 

3 

3 

4 

13 

Alaska 

1 

8 

17 

37 

California 

4 

7 

17 

82 

Conncclicul 

4 

4 

3 

39 

Delaware 

4 

3 

11 

57 

Florida 

3 

11 

22 

66 

Georgia-' 

4 

9 

15 

74 

Hawaii 

1 

8 

14 

22 

Louisiana 

2 

14 

14 

51 

Maryland 

4 

8 

8 

140 

Mississippi 

1 

4 

6 

21 

New  Yorl< 

4 

3 

4 

46 

North  Carolina 

4 

19 

28 

251 

Oregon 

3 

5 

13 

178 

Puerto  Rico- 

3 

5 

14 

25 

Rhode  Island 

4 

1 

2 

32 

South  Carolina- 

4 

6 

5 

99 

Texas 

4 

9 

8 

51 

Virginia 

3 

3 

5 

55 

Virgin  Islands- 

2 

8 

19 

28 

Washington  stale 

4 

6 

3 

157 

TOTAL 

144 

154'- 

1524 

'Each  sample  consisted  ol"  25  Hsh  less  than  one  year  old. 
-Some  monitoring  data  for  1972-74  have  also  been  published  for  these 
four  coastal  areas  (see  literature  references  //.  I2i. 
■Different  species,  some  species  were  collected  in  more  than  one  slate. 


Sample  Prefuiraiioii 

Earlier  laboratory  investigations  indicated  that  analyses 
of  15  randomly  selected  fish  would  cover  the  range  of 
individual  variations  in  pesticide  concentrations  in 
experimentally  exposed  fish  populations  (2).  In  the 
present  study,  50  yearling  fish  were  collected  semi- 
annually and  analyzed  in  pools  of  25  each.  Whole  fish 
samples  were  homogenized,  and  an  aliquot  was  blended 
with  a  desiccant  as  described  in  the  molluscan  program 
(4).  The  prepared  samples  were  shipped  unrefrigerated 
to  the  Pesticides  Monitoring  Laboratory,  U.S.  Environ- 
mental Protection  Agency,  Bay  St.  Louis,  Mississippi, 
for  analysis. 

Analylical  Procedure 

Desiccated  samples  were  shaken  with  acctonitrile  for  4 
hours,  and  partitioned  and  cleaned  by  the  Mills  method 
(8);  methylene  chloride  and  hexanc  were  used  to  elute 
the  Florisil  cokinin  (9).  The  extract  was  analyzed  by 
flame  photometric  detector  before  Florisil  cleanup  to 
avoid  possible  loss  of  organophosphorus  compounds  (6). 
Polychlorinatcd  biphenyls  (PCBs)  were  separated  from 
other  chlorinated  compounds  by  the  silicic  acid  method 
(7).  Instrument  parameters  and  operating  conditions 
used  for  gas  chromatographic  analysis  and  confirmation 
are  given  in  Table  3.  Samples  were  routinely  screened 
for  residues  of  the  synthetic  compounds  listed  in  Table 
4.  The  recovery  range  for  organochlorines  was  75-85 
percent,  and  for  organophosphatcs,  85-95  percent. 


Results  and  D 


ISCIISSK'll 


i;Di)i 


DDT  is  persisteni  in  sediments  with  high  organic  content; 
its  presence  long  after  ils  use  has  been  lerminated  is  not 


52 


surprising.  However,  DDT  residues  found  recently  in 
fish  a  few  months  old  are  not  so  easily  explained.  Of  the 
states  and  territories  monitored,  DDT  was  absent  only 
from  Alaska,  Hawaii,  and  the  Virgin  Islands  (87  sam- 
ples). In  595  samples,  39  percent,  DDT  was  detected  at 
levels  of  lO-H  /j.g/kg  (Table  5).  In  many  areas,  DDT 
residues  were  consistently  present  in  small  amounts  in 
fish  only  a  few  months  old.  However,  these  low  levels 
probably  are  biologically  insignificant.  Some  samples 
from  California,  Delaware,  Florida,  and  New  York  had 
DDT  residues  in  the  1 000-4000-/,g/kg  range.  DDT 
burdens  this  high  could  cause  physiological  stress  and 
lessen  reproductive  capacity  in  fish  populations  (5). 
The  larger  residues  surpass  levels  observed  in  oysters 
in  the  same  estuaries  in  1965-72  when  DDT  was  still 
being  used.  The  fact  that  the  half-life  of  pesticide  residues 
is  much  shorter  in  mollusks  than  in  fish  may  explain 
this  paradox. 

Coastal  areas  are  ranked  in  the  order  of  frequency  and 
magnitude  of  -DDT  residues  in  Table  6.  Not  surpris- 
ingly, the  10  areas  with  the  highest  frequency  of  positive 
fish  samples  are  essentially  the  same  coastal  areas  which 
had  the  highest  frequency  of  -DDT-positive  molluscan 
samples  during  1965-72.  However,  there  was  a  30  per- 
cent decline  in  the  overall  frequency  of  DDT-positive 
samples  of  fish  compared  to  mollusks  in  the  13  states 
where  both  were  monitored.  This  decline  was  not  uni- 
form; in  Delaware,  the  frequency  remained  at  75  per- 
cent, and  in  Washington  state  it  declined  from  1  1  to  4 
percent. 

Examination  of  the  percentage  distribution  of  DDT  and 
its  metabolites,  TDE  and  DDE,  in  residues  indicates  to 
some  extent  the  movement  of  DDT  in  the  estuarine  en- 
vironment in  recent  years  (Table  7).  There  has  been  a 
well  defined  shift  from  the  large  proportion  of  DDT  in 
1972  to  its  absence  from  fish  samples  collected  in  1976 
and  the  concomitant  increase  in  levels  of  DDE.  Yet, 
there  has  been  no  significant  change  in  the  mean  residues 
of  i:DDT  present  during  the  4-year  period  (Table  8). 
This  suggests  that  DDT  is  continually  recycled  in  the 
food  web  since  it  occurs  in  juvenile  fish,  and,  in  moving 
along  biological  pathways.  DDT  is  gradually  metabolized 
to  the  more  stable  compound.  More  important,  it  indi- 
cates that  DDT  is  no  longer  being  introduced  into  the 
estuarine  environment  and  th;it  a  pollulani  can  be  con- 
trolled nationwide  by  enforcing  legislation. 

POl  ^CHLOUlNATKD  lilPHHNIlS  (PCBs) 

PCBs  were  identified  in  331  samples,  22  percent  of  the 
total  analyzed.  Residues  were  quantitated  by  compari- 
son with  standards  of  Aroclors  1242,  1254,  and  1260. 
In  the  data  tabtilations,  PCBs  are  reported  as  a  single 
entity  regardless  of  the  standard  used  to  quantitate  them. 
Thus,  residues  consisting  of  more  than  one  PCB  are  not 
fully  identified,  :tnd  reported  dal.i  oi  the  actual  amounts 
may  vary. 

Pesticides  Monitorinc.  Journ.m. 


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Vol.  12,  No.  2,  September  1978 


53 


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54 


PCBs  were  not  found  in  samples  from  Alaska  and  Mis- 
sissippi. In  1 1  states,  Puerto  Rico,  and  the  Virgin  Islands, 
Aroclor  1254  was  the  only  standard  used.  In  the  remain- 
ing six  coastal  areas,  standards  of  Aroclors  1242  and 
1260  were  occasionally  required  as  well  for  the  quanti- 
tation of  residues  (Table  5).  The  annual  incidence  of 
PCB-positive  samples  is  summarized  in  Table  8.  Data 
indicate  a  gradual  decline  in  both  the  ma.ximum  residues 
observed  in  most  years  and  the  average  concentration 
of  the  PCB  residues.  The  changes  were  e.xpected  in  view 
of  the  general  curtailment  in  production  and  use  of  the 
compounds.  Their  chemical  persistence  suggests,  how- 
ever, that  they  will  continue  to  contaminate  the  environ- 
ment for  several  years. 

Only  at  one  station  each  in  Delaware  and  Washington 
state  did  PCB  residues  frequently  exceed  1000  Mg/kg. 
Such  data  do  not  indicate  high  PCB  levels  in  the  ambient 
water  since  residues  are  cumulative  and  fish  may  have 
had  up  to  one  year  of  exposure.  However,  controlled 
experiments  show  that  PCB  concentrations  as  low  as  1.0 
Mg/kg  are  sufficient  to  cause  fin  rot  and  increased  mor- 
tality in  chronically  exposed  fish  (10). 

Coastal  areas  are  ranked  in  order  of  the  frequency  and 
magnitude  of  PCB  residues  in  estuarine  fish  (Table  9). 
These  residues  were  found  in  19  of  the  21  areas  moni- 
tored, but  in  only  tour  states  were  they  present  in  more 
than  half  the  samples.  In  contrast.  DDT  residues  were 
found  in  18  areas  and  were  present  in  more  than  half 
the  samples  from  nine  states.  This  indicates  a  much 
broader  contamination  of  the  environment  with  DDT 
than  with  PCBs. 

The  incidence  of  PCB  residues  in  fish  cannot  be  com- 
pared with  the  much  lower  frequency  observed  in  mol- 
lusks  in  1970-72.  PCBs  are  an  industrial  pollutant  and 
are  not  usually  found  where  shellfish  are  harvested. 

DIELDRIN 

Residues  of  dieldrin  were  delected  in  74  samples,  5  per- 
cent of  the  total  samples,  ranging  from  10  Mg^kg  to  145 
Mg/kg.  Positive  samples  were  collected  in  some  of  the 
estuaries  of  12  states  and  the  Virgm  Islands  (Table  10). 
About  halt  the  positive  samples  were  collected  in  sec- 
ondary estuaries  in  the  Maryland  section  of  Chesapeake 
Bay.  Samples  from  this  area  conlained  dieldrin  in  1972- 
74,  but  not  in  1975.  Dieldrin  was  found  in  a  variety  of 
fish  species,  but  its  presence  had  no  apparent  correlation 
with  their  different  feeding  patterns.  In  1972-74,  diel- 
drin was  found  in  about  7  percent  of  Ihe  fish  samples; 
but  in  1 975-7(1,  less  than  I  percent  of  the  samples  con- 
tained detectable  levels  (Table  8).  During  the  1965-72 
monitoring  of  mollusks,  dieldrin  was  found  in  15  percent 
i>f  the  samples  at  levels  approximately  double  those  de- 
tected in  the  juvenile  tish. 

Pesticides  Monitoring  Journal 


TABLE  3.     Operating  parameters  for  analyzing  estiiarine  fish  for  pesticide  and  PCB  residues— 1972-76 


Detector 


CoLUM^ 


Electron-  Glass,   1.8  m  long    x    4  mm   ID,  packed  with 

capture  3  percent  DC-200  on  80-100-mesh  Supelcoport 

Electron-  Glass,   1.8  m  long    X    2  mm  ID,  packed  with 

capture  a  mixture  of  1.5  percent  OV-17  and  1.95  per- 

cent OV-210  on  80-100-mesh  Supelcoport 

Electron-  Glass,   1.8  m  long    x    2  mm  ID.  packed  with 

capture  5  percent  OV-210  on  80-UIO-mesh  Supelcoport 

Flame  Glass,   1.8  m  long    x    4  mm   ID,  packed  with 

photometric  3  percent  OV-IOI  on  80-100-mesh  Chromosorb 

W-HP 


Column 


Temperatures,  °C 


Detector 


Carrier  Gas, 
Flow  Rate 


188 

300 

250 

Argon/methane 
50  ml/minute 

193 

200 

230 

Nitrogen 

30  ml/minute 

173 

200 

230 

Nitrogen 

30  ml/minute 

177 

184 

230 

Nitrogen 

50  ml/minule 

TABLE  4.     Coinpoiimls  detected  by  gas  cliromatograpluc 
analysis  of  estiiarine  fish  tissue — 1972-76^ 


Organochlorine 


ORUANOPHdSPHATE 


Aldrin 

Chlordane 

DDT 

Dieldrin 

Endosulfan 

Heptachlor 

Lindane 

Methoxychlor 

Mirex 

PCBs 

Toxaphene 

Trifluralin 


Azinphosmcthyl 

Carbophenothion 

DEF 

Demeton 

Diazinon 

Ethion 

Malathion 

Parathion 

Phoraic 


NOTE:  See  appendix  for  cllcmical  names  of  compounds. 

'Lower  delcclion  Hmit  is  10  ;ig  kg  for  all  compounds  except  the  fol- 
lowing: endosulfan.  20  /ig'kg:  methoxychlor  and  ethion,  M  ^g,  kg; 
mirex,  PCBs.  toxaphene,  carbophenothion,  and  DEF,  50  ng  kg. 


PESTICIDES  OCCASIONALLY    DETECTED 

Despite  the  fact  that  all  samples  were  routinely  screened 
for  21  synthetic  hydrocarbons  and  their  oxygen  analogs, 
few  were  detected.  DDT  and  its  metabolites,  dieldrin, 
and  PCBs  were  the  most  common  residues.  Only  si.x 
other  pesticides  were  found  in  measurable  amounts 
(Table  II).  These  were  detected  in  48  samples  or  about 
3  percent  of  the  total.  A  majority  of  these  residues 
occurred  in  fish  from  the  upper  end  of  Chesapeake  Bay 
and  along  the  Texas  coast.  The  insecticide  endrin  and 
the  herbicide  Dacthal  (DCPA)  were  also  identified  in 
fish  from  a  heavily  farmed  area  in  the  Texas  Rio  Grande 
river  basin.  This  area  was  monitored  monthly  and  the 
data  will  be  presented  in  a  separate  publication. 

DATA   INTERPRETATION 

The  data  are  organized  on  a  seasonal  and  geographic 
basis,  i.e.,  by  state  boundaries,  in  an  effort  to  make  the 
large  group  of  heterogenous  samples  more  manageable. 
Unfortunately,  some  details  of  localized  pollution  pat- 
terns are  lost  in  the  process.  For  example,  data  from 
only  one  river  basin  in  Rhode  Island  can  be  compared 
with  data  from  3-19  river  basins  in  other  states.  Or,  as 
in  Washington  state,  data  from  one  polluted  estuary  were 
averaged  with  five  other  relatively  clean  areas  in  the 
state.    In  Table  9,  the   frequency  of  PCB   residues   is 


shown  as  17  percent  in  Washington.  Actually,  all  27 
samples  from  the  Duamish  River  were  contaminated, 
but  none  of  the  128  samples  from  the  other  five  estuaries 
contained  PCB  residues  during  the  4-year  period. 

PCB  residue  data  from  the  Duamish  River  samples  illus- 
trate the  importance  of  sampling  continuity  to  determine 
localized  pollution  patterns  and  trends.  The  Pacific  stag- 
horn  sculpin  and  English  sole  were  both  collected  seven 
times  in  the  4-year  period.  Quantitation  of  the  PCB 
residues  required  three  different  standards  (Table  12). 
The  residues  were  probably  mixtures  of  two  or  more 
PCBs,  but  the  data  indicate  both  a  shift  in  the  kind  of 
pollution  and  a  decline  in  pollution  levels. 

There  must  always  be  some  ambiguity  in  the  compari- 
son of  residue  data  from  ditTerent  species  in  the  absence 
of  controlled  experiments  on  their  ability  to  accumulate 
pesticides.  In  the  Duamish  River  samples,  the  consis- 
tently higher  residue  levels  in  English  sole  probably  were 
due  to  a  ditTerence  in  age  rather  than  in  species.  Sole 
populations  sampled  were  usually  about  6  months  older 
than  Ihe  sculpins. 

Comparisons  of  residue  data  in  a  single  fish  species  dis- 
tributed over  a  wide  geographic  range  permit  valid  judg- 
ments of  regional  pollution  differences.  The  bay  anchovy 
was  the  most  widely  distributed  species  in  the  present 
program.  It  was  collected  in  37  estuaries  in  the  1  1  states 
from  Delaware  to  Texas  over  a  3-year  period.  Samples 
from  three  estuaries  in  Georgia  and  three  in  Louisiana 
contained  no  detectable  DDT  or  PCBs.  in  contrast,  42 
bay  anchovy  samples  collected  in  Delaware  and  Chesa- 
peak  Bay  during  this  3-year  period  contained  residues 
of  DDT  (  10-467  Mg/kg,  mean  77)  and  PCBs  (90-996 
/ig/kg,  mean  340).  On  the  basis  of  such  data,  it  is  pos- 
sible to  identify  regional  pollution  patterns  when  juvenile 
fish  of  the  same  species  are  monitored  periodically. 

In  general,  residue  data  from  all  the  estuaries  in  a  single 
state  were  strongly  skewed  because  only  one  or  two  estu- 
aries were  highly  polluted.     In  Washington  state,   less 


Vol.  12,  No.  2,  September  1978 


55 


TABLE  5.     Residues  of  ^Dl^T  and  PC  lis  in  wliolc-hody  samples  of  juvenile  esluiirine  fisii,  1972-76 


Residues,  ^c/kg  Wet  Weight 


JDDT 


PCBs 


Coastal  Area, 

Number  of 

Year 

Samples 

Alabama 

1972 

2 

1973 

2 

1975 

3 

1976 

6 

Alaska 

1972 

7 

197.1 

30 

California 

1972 

6 

1973 

21 

1974 

17 

1975 

18 

1976 

20 

Connecticut 

1972 

4 

1973 

7 

1974 

15 

1975 

5 

1976 

8 

Delaware 

1972 

6 

1973 

12 

1974 

14 

1975 

9 

1976 

16 

Florida 

1972 

25 

1973 

15 

1974 

19 

1975 

7 

Georgia 

1972 

12 

1973 

17 

1974 

10 

1975 

18 

1976 

17 

Hawaii 

1972 

8 

1973 

14 

Louisiana 

1975 

24 

1976 

27 

Maryland 

1972 

22 

1973 

45 

1974 

45 

1975 

28 

Mississippi 

1972 

5 

1973 

16 

New  York 

1972 

6 

1973 

10 

1974 

12 

1975 

6 

1976 

12 

North  Carolina 

1972 

30 

1973 

80 

1974 

70 

1975 

41 

1976 

30 

Oregon 

1973 

77 

1974 

66 

1975 

35 

Number 

PoSlltVE 


Maximlim 
Residue 


Geometric  X 

OF  Positive 

Samples 


Number 
Positive 


Maximum 
Residue 


4 
19 
15 
15 
18 


6 

12 

13 

8 

4 


8 

4 
17 
5 


14 

26 

35 

6 


3 

5 

10 

5 

10 


29 
34 
26 
18 
18 


21 

22 

3 


82 
17 
35 
49 


213 

667 

1422 

1349 

2588 


63 
68 
43 
97 


1425 
636 
1194 
1146 
1015 


170 

18 

1640 

23 


65 
14 
32 
16 


108 

23 


184 
345 
694 
714 


16 
159 


174 
115 
11)6 
4082 
11)4 


140 
357 
322 
78 
140 


125 

221 

12 


67 
17 
20 
35 


69 

75 
69 
79 
95 


43 
68 
26 

25 


220 
85 
109 
181 
471 


25 
13 
36 
21 


26 
13 
32 
16 


52 
23 


55 

73 

51 

251 


14 
135 


71 
49 

34 
188 
39 


43 
39 
39 
24 
33 


29 
32 
11 


0 
2 
5 
6 
12 


4 
7 
14 
5 
4 


0 

0 

16 

1 


14 
12 
16 
9 


5 

2 
10 

2 
10 


15 
1 
3 
1 
2 


271) 
512 
432 
400 


592 
678 
1065 

497 
289 


4504 
2671 
823 
1566 
1258 


614 
104 


508 
137 


305 


256 


788 
1046 
878 
940 


310 
235 
301 
694 
447 


786 
120 
174 
173 
538 


277 
247 
288 


163 


229 
224 
210 
254 


313 
321 
406 
252 
172 


1469 
802 
258 
720 
649 


62 
104 


508 
137 


244 


256 


351 
318 
287 
267 


231 
149 
165 
471 
295 


258 
120 

131 
173 
527 


130 
1 79 
236 


(Continued  next  page) 
56 


Pesticides  Monitoking  Journal 


TABLE  5   Cconfd.). 


Residues  of  SPPT  and  PCBs  in  whole-body  samples  of  juvenile  estuarine  fish.  1972-76 


Coastal  Area, 

Number  of 

Year 

Samples 

Puerto  Rico 

1972 

4 

1973 

8 

1974 

4 

1976 

9 

Rhode  Island 

1972 

4 

1973 

g 

1974 

8 

1975 

8 

1976 

4 

South  Carolina 

1972 

12 

1973 

25 

1974 

21 

1975 

22 

1976 

19 

Texas 

1972 

7 

1973 

9 

1974 

11 

1975 

18 

1976 

6 

Virginia 

1973 

26 

1974 

11 

1975 

18 

Virgin  Islands 

1972 

6 

1973 

13 

1974 

9 

Washington  state 

1972 

21 

1973 

48 

1974 

48 

1975 

24 

1976 

16 

Number 
Positive 


2 
1 
0 
5 

0 
0 
5 
4 
0 

7 
13 
6 
2 
0 

5 
5 
8 
12 
4 

20 

10 
7 

0 
0 
0 

0 
1 
1 

0 

4 


Residues,  /io/kg  Wet  Weight 


2DDT 


Maximum 
Residue 


157 
172 


86 


78 
20 


60 
33 
29 
12 


52 

188 

223 

59 

70 

124 
60 

821 


25 
11 


38 


Geometric  X 

OF  Positive 

Samples 


100 

172 


24 
17 


29 
16 
19 
11 


38 
S2 
65 
23 
37 

39 

39 

115 


25 
11 


32 


Number 
Positive 


2 
2 
4 
0 

4 
4 
8 
4 
4 

1 
0 
0 
0 
0 

3 
0 
4 
4 
1 


PCBs 


Maximum 
Residue 


201 
416 
579 


477 
797 
524 
241 
356 

182 


267 

240 
265 
157 

438 

456 

2549 

166 
809 

4903 
3363 
2028 
2639 
900 


Geometric  X 

of  Positive 

Samples 


NOTE:   Samples  from  Alaska  conlained  no  PCBs. 


181 
316 

238 


451 
464 
231 
230 
275 

182 


136 

95 

150 
157 

214 
254 
850 

142 
615 

2552 
1577 
1515 
2057 
668 


,,.,,;,,  .        ,       ,-,,„     ^.-.  Aroclor    1 254  was  used  as  the  slandard  in  all  olher  coaslal 

addii  ons.   Aroclor  126(1:  Cahlornia,  Connecticut.  Delaware.  Maryland,   North  Carolina,  and   Washin.i 
Maryland.   North  Carolina,  and  Washington  state.  asning. 


areas  with  the  following  occasional 
on  state;   Aroclor    1242:    Delaware, 


TABLE  6.     Frequency  and  average  concenlration  of  IDDT 
residues  in  juvenile  estuarine  fish  by  coasted  area.  1972-76 


Average 

Frequency 

Concen- 

Coastal 

OF 

Coastal 

tration, 

Area 

Residues,  % 

Area 

/IG/KG  ' 

California 

87 

Delaware 

213 

Delaware 

75 

Maryland 

108 

New  York 

72 

Puerto  Rico 

10(1 

Alabama 

69 

California 

77 

Virginia 

67 

New  York 

76 

Texas 

67 

Mississippi 

75 

Maryland 

58 

Virginia 

64 

Florida 

52 

Texas 

49 

North  Carolina 

48 

Connecticut 

41 

Puerto  Rico 

32 

Louisiana 

38 

Connecticut 

31 

North  Carolina 

36 

Mississippi 

29 

Alabama 

35 

South  Carolina 

29 

Florida 

24 

Rhode  Island 

28 

Oregon 

24 

Oregon 

26 

Washington  state 

23 

Louisiana 

12 

Georgia 

1? 

Georgia 

10 

Rhode  Island 

21 

Washington  slate 

4 

South  Carolina 

19 

Alaska 

0 

Hawaii 

0 

Virgin  Islands 

0 

NOTE:   Comparisons  are  limited  in  that  the  number  of  samples,  nun 
ber    of    sampling    stations,    period    (years)    of    sampling,    and 
species  of  fish  differ  for  each  coastal  area. 

•Arithmetic    average   of   geometric    means   of   positive    samples    in    all 
collection  years. 


than  4  percent  ot  the  samples  collected  in  5  years  con- 
tained measurable  residues  of  DDT.  The  geometric 
means  of  the  positive  samples,  along  with  the  maximum 
residue  detected  and  the  number  of  positive  samples,  is 
the  best  summary  of  actual  pollution  levels.  Conversely, 
the  geometric  means  of  the  residue  data  from  year  to 
year  in  a  given  state  were  normally  distributed,  and  the 
arithmetic  means  were  used  to  compare  pollution  levels 
in  ditTerent  geographic  areas  (Tables  6,  8.  9).  Plans  are 
finder  way  to  store  sample  and  analytical  data  in  a  com- 
puter data  bank  to  provide  more  precise  data  analyses  in 
stLidies  of  localized  polkition  problems. 


TABLE  7.     Percentage  distribution  of  metabolites  in  ZDDT 
residues  in  juvenile  estuarine  fisli  by  coastal  area,  1972-76 


Year 


Number  of 
Positive  Samples 


Distribution.  % 


DDT 


TDE 


DDE 


1972 
1973 
1974 
1975 
1976 


90 
167 
173 
97 
68 


23 

12 

5 

1 

0 


37 
30 
36 
21 
14 


40 
58 
59 
78 
86 


Vol.  12,  No.  2,  September  1978 


57 


TABLE  8.     Annual  iiicUlciwe  of  ZDDT,  PCB,  and  dielilrin  residues  in  juvenile  whole  fish  samples,  1972-76 


No.  OF 
Samples 

Residues,  /ig/kg 

DDT 

PCBs 

DiELDRIN 

Year 

PosnivE 

Maximum 
Residue 

Average 
Residue' 

Positive 

Maximum 
Residue 

Average 
Residue' 

% 
Positive 

Maximum 
Residue 

Geometric 
X 

1972 
1973 
1974 
1975 
1976 

187 
483 
380 
284 
190 

48 
34 
46 
34 
36 

1425 
667 
1640 
4082 
2588 

62 
58 
42 
69 
88 

34 
12 
29 
20 

22 

4903 
3363 
2028 
2639 
1258 

540 
429 
320 
460 
351 

7 
6 
8 

1 
0 

140 

140 

145 

15 

21 
30 
12 
14 

'  Arithmclic  average  of  the  geomelric  means  of  positive  samples  from  each  coastal  area. 


Conclusions 

Juvenile  fish  arc  satisfactory  tools  for  gauging  pesticide 
pollution  trends  in  estuaries  provided  at  least  25  indi- 
viduals. 6-12  months  old,  of  the  same  species  are  sam- 
pled annually  at  a  specific  location.  AnaUses  of  the  same 
species  of  fish  at  different  geographic  locations  permit 
valid  comparisons  of  pollution  levels. 

Existing  i;DDT  residues  are  the  result  of  biotic  recycling, 
and  probably  little,  if  any.  DDT  has  been  introduced 
recently  into  the  cstuarine  systems  monitored  in  this 
study. 

The  magnitude  and  frequency  of  biotic  residues  of  DDT, 
dicldrin,  endrin,  and  toxaphene  declined  substantially 
between  1965-70  and  1972-76. 

Data  from  this  study  warrant  annual  monitoring  of  juve- 
nile fish  in  the  nation's  estuaries. 

Aclinowledginent 

The  autht)rs  arc  greatly  indebted  to  many  people  for  the 
success  of  this  monitoring  program.  We  thank  espcciall>' 

TABLE  9.     Frequency  and  average  concentration  of  PCB 
residues  in  juvenile  estiiarine  fish  by  coastal  area,   1972-76 


Average 

Frequency 

Concen- 

Coastal 

OF 

Coastal 

tration, 

Area 

Residues.  % 

Area 

;iG/KG' 

Connecticut 

87 

Washington  state 

1674 

Rhode  Island 

75 

Delaware 

780 

New  York 

63 

Virginia 

439 

Delaware 

51 

Virgin  Islands 

379 

Virginia 

38 

Rhode  Island 

330 

Maryland 

36 

Connecticut 

323 

Puerto  Rico 

32 

Georgia 

323 

California 

31 

Maryland 

306 

Florida 

26 

New  York 

262 

Texas 

24 

Louisiana 

256 

Alabama 

23 

Puerto  Rico 

245 

Virgin  islands 

18 

Hawaii 

244 

Washington  state 

17 

North  Carolina 

242 

Hawaii 

14 

California 

229 

Oregon 

10 

Oregon 

182 

North  Carolina 

9 

South  Carolina 

182 

Georgia 

3 

Alabama 

163 

Louisiana 

2 

Texas 

135 

South  Carolina 

1 

Florida 

83 

Alaska 

11 

Mississippi 

0 

NOTE;  Comparisons  arc  limited  in  ihal  (he  number  of  samples,  num- 
ber of  sampling  Malions,  periods  (years)  of  sampling!,  and 
stpccics  of  lish  difTcr  lor  each  coastal  area. 

^Arithmetic  average  of  jieumeiric  means  of  positive  samples  in  all 
collection  years. 


TABLF    10.       Geographic  incidence  of  ilieldrin  residues 
in  juvenile  estuarine  fish,  1972-76 


Number 

Mean 

Coastal 

OF 

Number 

Residue. 

Area 

Samples 

Positive 

liC/KC 

California 

82 

2 

34 

Connecticut 

39 

3 

15 

Delaware 

57 

2 

59 

Florida 

66 

12 

10 

Georgia 

74 

T 

60 

Louisiana 

51 

1 

15 

Marvland 

140 

35 

30 

Mississippi 

21 

2 

17 

New  York 

46 

2 

24 

North  Carolina 

251 

4 

20 

Texas 

51 

6 

20 

Virginia 

55 

2 

10 

Virgin  Islands 

28 

1 

10 

June  Hartsfield  for  helping  to  summarize  the  data  and 
for  typing  the  manuscript,  and  Michael  Reuschel  for 
help  with  the  tables.  We  thank  Charles  D.  Kennedy  for 
countless  analyses,  and  we  thank  Stanley  S.  Mecomber 
at  the  Pesticides  Monitoring  Laboratory. 

Fish  samples  were  collected  through  the  cooperation  of 
state,  federal,  and  university  marine  laboratories.  These 
agencies  and  their  principal  investigators  are:  University 
of  Alabama  Marine  Sciences  Program,  G.  Crozier; 
National  Marine  Fisheries  Service,  Auke  Bay,  Alaska 
Laboratory,  H.  S.  .Sears;  California  Department  of  Fish 
and  Ciame,  W.  Griffith;  National  Marine  Fisheries  Ser- 
vice, Connecticut  Biological  Laboratory,  A.  Calabrese; 
University  of  Delaware  College  of  Marine  Studies,  R.  W. 
Smith;  University  of  South  Florida  Marine  Science  Insti- 
tute, R.  Baird;  University  of  Miami  School  of  Marine 
and  Atmospheric  .Science,  B.  Yokel;  National  Marine 
Fisheries  Service,  Panama  City  Laboratory,  E.  Naka- 
nuira;  University  of  Georgia  Marine  Institute,  R.  J. 
Reimold  (also  made  collections  in  Puerto  Rico  and  the 
Virgin  Islands);  University  of  Hawaii  Institute  of  Marine 
Biology,  J.  H.  Bardach;  University  of  Southwestern 
Louisiana.  H.  D.  Hoese;  University  of  Maryland  Chesa- 
peake Biological  Laboratory.  1 .  Ritchie;  Gulf  Coast  Re- 
search Laboratory.  T.  I-.  Lytic;  University  of  North 
Carolina  Institute  of  Marine  Science,  A,  F.  Chestni.it; 
University  of  Oregon  Marine  Science  Center.  R.  S.  Cald- 
well; University  of  Puerto  Rico  Department  of  Pharma- 
cology, T.  Morales-Cardona;  University  of  Rhode  Island 
Oceanograph\  Department,  D.  R,  Sheehy;  South  Caro- 


58 


Pesticides  Monitorinc,  Journ.m 


State 


TABLE   1 1.     Pesticide  residues  occasionally  detected  in  juvenile  estuarine  fish,  1972-76 


Chiordane 


Heptachlor 
Epoxide 


TOXAPHENE 


Ethyl 
Parathion 


Methyl 
Parathion       Carbophenothion        Ethion 


Alabama 

1-13-133 

Connecticut 

1-39-10 

Hawaii 

6-22-290 

Louisiana 

1-51-504 

Maryland 

22-140-118 

3-140-15 

Mississippi 

2-21-388 

New  York 

2^6-207 

North  Carolina 

1-251-12 

Texas 

3-51-75 

3-51-75 

2-51-47 


1-51-103 


1-51-83 


NOTE:   Data  in  columns  represent  incidence,  number  of  samples,  and  mean  residue,  Mg/kg,  respectively. 


lina  Wildlife  and  Marine  Resources  Department,  M,  H. 
Shealy,  Jr.;  Texas  Parks  and  Wildlife  Department,  R. 
Childress;  Virginia  Institute  of  Marine  Science,  R.  J. 
Huggett;  State  of  Washington  Department  of  Fisheries, 
B.  Pattie;  and  University  of  Washington  Fisheries  Re- 
search Institute,  B.  Miller. 


TABLE   12.     Treiuls  in  PCB  residues  ill  Englisli  sole  and 

Pacific  stai>liorn  scittpin.  Dininiisli  River,  Waslungton  state, 

fall  1972-spring  1976 


Most  Similar 

Aroclor  St 

^NDARDl 

Date 

Species 

1254 

1260 

1242 

Fall   1972 

E 
P 

3346 

2202 

Spring  1973 

E 
P 

2111 
2065 

Fall   1973 

E 
P 

1683 
1129 

Spring   1974 

E 
P 

1927 
1477 

Fall    1974 

E 
P 

1733 
825- 

Spring   1975 

E 
F 

2541 
1832 

Spring   1976 

E 

888 

1241 

P 

506 

492 

NOTE:   E  =  English  sole,  P  ~  Pacific  staghorn  sculpin. 
^  Data   represent   average  of   two   sample   pools   of   25    fish   each    (.wet 
weight,  ^g/kg). 
-Only  one  sample. 


LITERATURE  CITED 

(/)  Bailey,  R.  M.,  J.  E.  Fitch,  E.  S.  Herald.  E.  A.  Laciuter, 
C.  C.  Lindsey,  C.  R.  Robins,  and  W.  B.  Scott.  1970. 
A  list  of  common  and  scientific  names  of  fishes  from 
the  United  Slates  and  Canada.  Third  ed.  Am.  Fish. 
Soc.  Spec.  Publ.  No.  6,  Washington,  D.C.  150  pp. 

'■?)  Butler,  P.  A.  1969.  Significance  of  DDT  residues  in 
estuarine  fauna.  Pages  205-220  in  Chemical  Fallout. 
Charles  C  Thomas,  Springfield,  111, 


(.?)  Butler,  P.  A.  1971.  Influence  of  pesticides  on  marine 
ecosystems.  Proc.  Roy.  Soc.  London  B.  1970:  321-329. 

(4)  Butler,  P.  A.  1973.  Organochlorine  residues  in  estuarine 
mollusks,  1965-72 — National  Pesticide  Monitoring 
Program.  Pestic.  Monit.  J.  6(4)  :238-362. 

(5)  Butler,  P.  A.,  A.  J.  Wilson.  Jr.,  and  R.  Childress.  1972. 
The  association  of  DDT  residues  with  losses  in  marine 
productivity.  Pages  262-266  in  Marine  Pollution  and 
Sea  Life    Fishing  News  Ltd.  Books,  London,  England. 

(6)  Luke,  M.  A.,  J.  E.  Frobcrg,  and  H.  T.  Masumolo.  1975. 
Extraction  and  cleanup  of  organochlorine,  organo- 
phosphate,  organonitrogen,  and  hydrogen  pesticides  in 
produce  for  determination  by  gas-liquid  chromatog- 
raphy. J.  Assoc.  Off.  Anal.  Chem.  58(5) :  1020-1026. 

(7)  Masumoto,  H.  T.  1972.  Study  of  the  silicic  acid  pro- 
cedure of  Armour  and  Burke  for  the  separation  of 
PCB's  from  DDT  and  its  analogs.  J.  Assoc.  Off.  Agric. 
Chem.  55(5):  1092-1 100. 

(S)  Mills,  P.  A.,  J.  H.  Onley.  and  R.  A.  Gaither.  1963. 
Rapid  method  for  chlorinated  pesticide  residues  in 
nonfatty  foods.  J.  Assoc.  Off.  Agric.  Chem.  46(2): 
186-191. 

(9)  Mills,  P.  A..  B.  A.  Bong,  L.  R.  Kanips.  and  J.  A.  Burke. 
1972.  Elution  solvent  system  for  Florisil  cleanup  in 
organochlorine  pesticide  residue  analyses.  J.  Assoc.  Off, 
Agric.  Chem.  55(1)  :39-43. 

(10)  Nimmo,  D.  R.,  D.  J.  Hansen,  J.  A.  Couch,  N.  R. 
Cooley,  P.  R.  Parrish.  and  J.  1.  Lowe.  1975.  Toxicity 
of  Aroclor  1254  and  its  physiological  activity  in  sev- 
eral estuarine  organisms.  Arch.  Environ.  Contam. 
Toxicol.  3(l):22-39. 

(//)  Reimold,  R.  J.  1975.  Chlorinated  hydrocarbon  pesti- 
cides and  mercury  in  coastal  biota,  Puerto  Rico  and 
the  U.S.  Virgin  Islands— 1972-74.  Pestic.  Monit.  J. 
9(l):39-43. 

{12)  Reimold,  R.  J.,  and  M.  H.  Shealy,  Jr.  1976.  Chlori- 
nated hydrocarbon  pesticides  and  mercury  in  coastal 
young-of-the-year  finfish.  South  Carolina  and  Georgia — 
1972-74.  Pestic.  Monit.  J.  9(4) :  170-175. 


Vol.  12,  No.  2,  September  1978 


59 


Residues  of  Organochlorine  Insecticides  and  Polychlorinated  Biphenyls 
in  Fish  from  Lakes  Huron  and  Superior,  Canada — 1968-76  ' 

Richard  Frank,"  Micheline  Holdrinet,-  Heinz  E.  Braiin,- 
Douglas  P.  Dodge,'  and  George  E.  Sprangler' 


ABSTRACT 

Five  species  of  fish  from  Lake  Superior  and  12  species  from 
Lake  Huron  were  analyzed  for  ori;anoclilorinc  pesticides  and 
polychlorinated  biphenyls  (PCBsj  between  1968  and  1975. 
Mean  residues  of  ^DDT  peaked  at  1 .72  ppm  and  7.60  ppin 
in  lake  trout  (Salveliniis  namayciish)  from  Lakes  Superior 
and  Huron,  respectively.  By  1975,  the  mean  level  of  '^DDT 
had  decreased  in  lake  trout  and  was  liighest  in  bloaters 
(Coregoniis  hoyi)  from  both  lakes:  1.06  ppm  and  1.87  ppm. 
respectively.  Dieldrin  levels  in  fisli  from  Lake  Superior 
changed  little  over  the  .same  period.  However,  in  1969-70. 
dieldrin  levels  in  fish  from  Lake  Huron  exceeded  the  0.3 
ppm  tolerance  level  set  by  Health  and  Welfare  Canada  or  the 
Food  and  Driit;  Administration,  U.S.  Department  of  Health. 
Education,  and  Welfare  in  5  percent  of  lake  whilefish  (Core- 
gonus  cliipeaformis)  and  10  percent  of  bloaters.  By  1975. 
50  percent  of  bloaters  caught  in  Georgian  Bay  and  North 
Channel  hud  dieldrin  levels  above  0.3  ppm.  PCB  residues 
declined  in  lake  trout  and  lake  whitefish  caught  in  Lake 
Superior  between  1971  and  1975,  but  increased  slightly  in 
bloaters  and  white  sucker  (Caloslomus  commcrsoni ).  .Mean 
PCB  residues  in  bloaters  caught  in  Lake  Huron  in  1969-71 
and  1975-76,  and  splake  (Salveliniis  fonlinalis  and  S. 
namaycush)  and  ci.sco  (Coregonus  arledii)  caught  in  1975 
exceeded  the  2  ppm  tolerance  level. 

IiUrociiiclion 

The  Great  Lakes  are  surrounded  b>  land  ihal  is  highly 
developed  for  urban,  industrial,  agricultural,  and  recrea- 
tional activities.  Since  outflow  of  the  Circat  Lakes  is 
limited,  chemical  discharges  into  the  lakes  are  very  per- 
sistent. For  the  past  decade  organochlorines  have  been 
identified  as  a  serious  contaminant  in  fish,  resulting  in 
long-range  detrimental  effects  to  private  and  commercial 
fishing. 


'Partial  fundinK  fur  ihc  l'*75-75  samplint;  and  analysis  provided  by  the 
Intcrnaiiunal  Ji>int  (Vimmission  under  Task  Force  D  of  the  Pollution 
from  Land  Use  Activities  Reference  Group. 

•Provincial  Pesticide  Residue  Tesiinp  laboratory.  Ontario  Ministry  of 
Auriculiurc  and  food,  c  o  University  of  Guelph.  Guclph,  Ontario. 
NIG  2WI. 

■■  Fisheries  Branch.  Ontarin  .Ministry  of  Natural  Resources.  Queens 
Park.  Toronto,  Ontario. 

'Fish  and  Wildlife  Research  Dramh.  Ontario  Ministry  of  Natural 
Resources,  South  Bay.  Ontario. 


Organochlorine  insecticides  and  polychlorinated  bi- 
phenyls (PCBs)  have  been  identified  in  fish  caught  in 
Lakes  Huron  and  Superior.  Reinhert  reported  residues 
of  0.2-7.4  ppm  i.DDT  and  0.01-0.05  ppm  dieldrin  in 
several  species  of  fish  caught  in  Lake  Superior  in  1967- 
68  (7).  Reinke  et  al.  reported  that  two  fish  species 
caught  in  1970  from  the  same  lake  had  mean  residues 
of  0.2  ppm  and  1.3  ppm  -DDT  and  0.06  ppm  dieldrin 
(9).  Four  species,  also  caught  in  Lake  Superior  in  1974- 
75,  cited  by  the  Upper  Great  Lakes  Reference  Group, 
contained  mean  residues  of  0.2-4.4  ppm  -DDT  and 
0.0 1  -0. 1  5  ppm  dieldrin  ill).  Residues  of  chlordane,  lin- 
dane, and  PCBs  were  also  reported  in  these  four  species. 

Reinhert  found  mean  residues  of  0.8-6.9  ppm  -DDT 
and  0.02-0.1  1  ppm  dieldrin  in  nine  species  of  fish  from 
Lake  Huron  in  1967-68  l7).  Reinke  et  al.  reported  mean 
residues  of  0.5-16.4  ppm  IDDT  and  0.01-0.31  ppm  di- 
eldrin in  the  same  major  fish  species  in  Lake  Huron  in 
1970  1 9).  The  Upper  Great  Lakes  Reference  Group 
cited  considerably  lower  residues  of  -DDT  in  three  fish 
species  caught  in  1974-75  111),  but  levels  of  dieldrin. 
lindane,  chlordane,  and  PCBs  were  similar  to  those  found 
in  other  studies. 

Studies  on  the  distribution  of  organochlorines  in  water, 
sediment,  and  scston  in  Lakes  Superior  and  Huron  reveal 
that  these  compounds  are  widespread  in  the  Great  Lakes 
ecosystem  l3).  Miles  and  Harris  reported  that  the  Mus- 
koka  River  discharged  large  amounts  of  -DDT  to 
Georgian  Bay  16).  Peak  discharges  of  5.4  kg/week 
occurred  in  May  1971,  but  the  i^uantity  declined  rapidly 
from  May  to  October,  averaging  0.9  kg  -DDT/week. 
r-rank  et  al.  found  that  fish  in  the  Muskoka  Lake- 
Muskoka  River  system  contained  some  of  the  highest 
residue  levels  founti  in  fish  from  inland  lakes  of  Ontario 
l2).  Fourteen  species  had  mean  residues  of  0.22-22.4 
ppm  -DDT;  sediments  in  this  lake-river  system  con- 
tained -DDT  residues  as  high  as  2.9  ppm. 

Ihc  present  study,  begun  in  1968,  was  originally  in- 
tended to  idenlily  ami  measure  organochlorine  residues 


60 


Pesticides  Monitoring  Journal 


LAKE     SUPERtOft 

9       »iNLi'   M' 

9     SH(s>«fp  B<i 


LAKE    HURON 


ID       KKiiSTonf    uascun 


.^ n 


FIGURE    1.     Map  of  Lakes  llnrtin  niul  Superior  \lio\\ini;  fi.sli  collection  areas 


in  fish  from  the  Great  Lakes.  However,  it  was  broadened 
following  restrictions  on  the  use  of  aldrin,  dieldrin.  and 
heptachlor  in  Canada  in  1969.  DDT  in  1970,  and  the 
voluntary  restrictions  on  the  use  of  PCBs  in  1971  within 
the  Province  of  Ontario.  Authors  wished  to  determine 
whether  these  use  restrictions  were  significantly  reflected 
in  organochlorinc  residues  in  fish  from  Lakes  Huron  and 
Superior. 

Methods  and  Materials 

FIELD  COLLECTION 

Fifteen  species  (843  fish)  were  caught  by  net,  line,  or 
trap  between  1968  and  1976  from  Lakes  Huron  and 
Superior;  many  of  the  larger  fish  were  obtained  from 
commercial  catches.  Five  species  (115  fish)  were  caught 
in  the  Canadian  waters  of  eastern  Lake  Superior  between 
Michipicoten  and  the  entrance  to  the  North  Channel 
(Figure  1).  Between  1968  and  1976,  14  species  (728 
fish)  were  caught  in  Lake  Huron.  Of  these.  481  fish  of 
12  species  were  from  the  Canadian  waters  of  Lake 
Huron,  142  fish  of  five  species  were  from  Cieorgian  Bay, 
and  105  fish  of  five  species  were  from  the  North  Chan- 
nel.  Bloaters  (Coregoniis  hoyi),  coho  salmon  (Oncorhyn- 


chiis  kisiilch).  and  walleye  (Stizosiedion  vilreiiiu  vilreiiiu) 
were  caught  in  southern  Lake  Huron,  walleye  caught  in 
Cieorgian  Bay  at  the  mouth  of  the  Moon  River,  and  rain- 
bow trout  fSalnio  goirdneri)  and  lake  trout  iSalveliniis 
/HiDHiyciish)  came  from  the  south  shore  of  Georgian  Bay. 
Other  species  were  caught  between  the  Bruce  Peninsula 
and  Manitoulin  Island. 

Fish  species  were  identified  and  named  according  to  the 
nomenclature  of  the  American  Fisheries  Society  (1 ). 

SAMPLE  I>REPAR.-\TION 

Fish  were  measured,  weighed,  and  where  possible,  the 
sex  was  determined.  Heads  and  viscera  were  removed 
and  the  remainder  of  the  fish  was  macerated  in  a  Hobart 
meat  grinder.  A  150-200-g  subsample  was  stored  in  a 
sealed  glass  jar  at  —  20"C:  storage  time  varied  from  a 
few  days  to  four  months.  Individual  fish  were  analyzed 
when  the  sample  size  was  not  limiting.  Alewife.  shiners, 
smelt,  and  other  small  fish  were  prepared  as  composites 
of  similar  sized  fish.  They  were  weighed  and  measured 
individually  before  being  ground. 


Vol .  12,  No.  2.  September  1978 


61 


ANALYTICAL  PROCEDURE 

Ten  grams  of  tissue  homogenate  was  ground  with  100  g 
anhydrous  sodium  sulfate  and  25  g  Ottawa  sand.  The 
mixture  was  extracted  with  300  ml  hexane  for  7  hours 
In  a  Soxhiet  extractor.  Solvent  was  evaporated  by  rotary 
vacuum  and  the  percentage  fat  was  determined  gravi- 
melricalh. 

A  one-step  Florisil  column  cleanup  method  described  by 
Langlois  et  al.  <5)  was  used  to  isolate  organochlorine  in- 
secticides and  PCBs.  A  maximum  of  I  g  fat  was  mixed 
with  conditioned  Florisil  and  placed  above  another  layer 
of  Florisil.  The  column  was  eluted  with  a  300-ml  1:4 
mixture  of  dichloromethane-hexane.  Solvent  was  evap- 
orated by  rotary  vacuum. 

PCBs.  Hexachlorobenzene  (HCB),  and  organochlorine 
insecticides  were  separated  on  a  charcoal  column  accord- 
ing to  the  method  described  by  Holdrinet  (4).  Analyses 
were  performed  with  a  Tracor  Model  550  gas-liquid 
chromatograph  (GLC).  Instrument  parameters  and  oper- 
ating conditions  follow. 


Deleclor: 
Column: 

Temperature: 
Carrier  gas: 
Injection 
volume: 


•"Ni 

15  cm    y    0.64  cm  OD  glass,  packed  with  a 

mixture   of   4    percent    SE-30    and    6    percent 

QF-I   on  80-100-mesh  Chromosorb  W 

I80°C 

nitrogen  flowing  at  60  ml/minute 

5  ti\  was  equivalent  to  I  ng  fat  sample 


Two-dimensional  thin-layer  chromatography  was  used  on 
random  samples  for  confirmation.  Samples  were  re- 
moved, redissolved.  and  re-injected  into  the  GLC  column. 

Recoveries  were  checked  periodically  by  fortification  of 
tissue  homogenates  prior  to  extraction.  Average  recov- 
eries were: 


was  included  in  1973  but  was  discontinued  because  of 
the  low  level  and  incidence  of  HCB  found  in  the  sam-. 
pies.    The  analysis  and  confirmation  for  cis-  and  irans- 
chlordane  was  refined  in   1975;  analyses  for  mirex  and 
oxychlordane  were  introduced  in  1976. 

Results 

LAKE  SUPERIOR 

-DDT — None  of  the  five  fish  species  caught  in  Lake 
Superior  contained  annual  mean  residues  in  excess  of  the 
5  ppm  tolerance  level  established  by  Health  and  Welfare 
Canada  or  the  Food  and  Drug  Administration,  U.S.  De- 
partment of  Health,  Education,  and  Welfare.  The  high- 
est mean  residue  of  2.7  ppm  was  found  in  lake  trout 
caught  in  1968.  However,  of  18  lake  trout  analyzed, 
three  contained  residues  of  -DDT  that  exceeded  5  ppm 
(Table  1):  a  1 544-g  fish  caught  in  Shesheep  Bay  con- 
tained 14.1  ppm:  a  2906-g  fish  caught  off  Thunder  Cape 
contained  7.9  ppm;  and  a  3314-g  fish  caught  in  Finlay 
Bay  contained  5.2  ppm  (Figure  I).  Lake  trout  caught  in 
1971  and  bloaters  caught  in  1971  and  1975  contained 
the  second  highest  mean  -DDT  residues  of  1.16  ppm 
and  1.06  ppm.  respectively,  but  no  individuals  exceeded 
the  tolerance  level. 

Residues  of  -DDT  declined  in  both  lake  trout  and  lake 
whitefish  (Coregoniis  cliipeaformis)  between  1971  and 
1975.  but  no  trend  was  apparent  in  either  bloater  or 
white  sucker  (Coregoniis  commersoni).  The  ratio  of 
DDE  plus  TDE  to  -DDT  increased  in  lake  trout  and 
lake  whitefish  from  1971  to  1975.  indicating  a  metabolic 
breakdown  of  o.p'-  and  /7./)'-DDT;  this  was  not  so  appar- 
ent in  bloaters  and  white  sucker  (Table  2).  The  decline 
is  more  evident  in  lake  trout  when  similar  weight  classes 
are  compared  (Table  3).  In  spite  of  higher  fat  content  in 
fish  caught  in  1975.  -DDT  is  only  a  fraction  of  the  resi- 
due found  in  1968-70. 


Residue 

% 

Residue 

% 

o,p'_DDT 

91 

Dieldrin 

89 

P,P'-DDT 

89 

c(5-Chlordane 

98 

P,P-TDE 

94 

/rtmA-Chlordane 

90 

P,P'-DDE 

96 

PCBs 

85-90 

The  data  were  not  corrected  for  recoveries.  Detection 
limits  were  0.005  ppm  for  organochlorines  and  0.05  ppm 
for  PCBs.  PCBs  were  identified  by  comparing  them  with 
mixtures  of  Aroclors  1254  and  1260  and  checking  for  a 
resemblance  to  peaks  VII,  VIM,  and  X  on  sample  chro- 
matograms  according  to  Reynolds  (10). 

Analysis  was  begun  in  1968  when  the  known  main  con- 
taminants in  fish  were  /j./)'-DDT  and  its  analogs  plus  di- 
eldrin and  heptachlor  epoxide;  PCB  values  prior  to  1970 
were  estimated.  With  the  iniroduction  of  a  column  frac- 
tionation technique  in  1970  for  the  separation  of  PCBs 
from  organochlorine  insecticides,  ihc  measurement  of 
PCB  residues  became  more  precise.    Analysis  for  HCB 


Dieldrin — No  fish  species  contained  mean  residues  that 
exceeded  0.08  ppm  dieldrin,  and  no  individual  fish  con- 
tained residues  which  exceeded  the  0.3  ppm  guideline 
set  by  FDA.  The  highest  level  of  dieldrin  found  in  an 
individual  fish  was  0.26  ppm  in  a  lake  trout  caught  in 
1968.  In  general,  levels  of  dieldrin  were  low,  but  the 
rate  of  disappearance  of  dieldrin  since  1971  also  has 
been  slow.  On  the  basis  of  a  -DDT/dieldrin  ratio, 
-DDT  declined  more  rapidly  than  dieldrin  between 
1971  and  1975  (Table  2).  Lake  trout  exhibited  a  decline 
in  the  ratio  between  1968  and  1975  of  91  to  5.  The  ratio 
of  PCBs  to  dieldrin  changed  little  between  1971  and 
l'>75.  This  was  borne  out  when  similar  weight  classes 
t)f  lake  trout  were  compared  (Table  3). 

PCBs — None  of  the  five  fish  species  caught  in  Lake 
Superior  contained  mean  residues  of  PCBs  greater  than 
the  2  ppm  tolerance  level  set  by  Health  and  Welfare 
Canada  (Table  I).   However,  two  individual  trout  caught 


62 


Pesticides  Monitoring  Journal 


TABLE   1.     OrganocMorine  residues  in  five  fish  species  caught  in  the  Canadian  waters  of  eastern  Lake  Superior,  1969-75 


Year 

No.  OF 
Analyses 

Mean 

AND  Range 

Mean  Con 

TENT  AND  RANGE 

OF  Contaminants  in  Fish  P 

UREE,  PPM».= 

Weight. 

G 

Fat. 

Species 

DDE 

TDE 

DDT 

2  DDT 

Dieldrin 

PCBs 

Caloslomidae 

White  sucker 

1971 

5 

1102 

-)  1 

0.08 

0.01 

0.04 

0.13 

0.01 

0.2 

988-1202 

0.9-5.0 

<0.0!-0.15 

<0.01-0.02 

<0.01-0.07 

0.01-0.24 

<0. 1-0.5 

1975 

8 

946 

3.1 

0.14 

0,01 

0.05 

0.20 

0.02 

0.3 

696-1154 

0.7-7.1 

0.03-0.46 

<0 .01-0.03 

<0.01-0.15 

0.08-0.59 

<0.01-0.06 

0.1-0.7 

Esocidae 

Northern  pike 

1971 

5 

2044 

1.2 

0.23 

0.03 

0.14 

0.40 

<0.01 

0.3 

1474-2752 

0.8-1.8 

0.08-0.48 

0.01-0.07 

0.02-0.41 

0.11-0.96 

0.1-0.6 

Salmoiiidae 

Bloater 

1971 

4(19)  ■ 

149 

9.7 

0.68 

0.07 

0.41 

1.16 

0.02 

0.6 

145-175 

9.4-10.0 

0.56-0.75 

0.06-0.08 

0.34-0.45 

0.96-1.36 

0.01-0.06 

0.5-0.7 

1975 

10 

169 

10.2 

0.52 

0.07 

0.47 

1.06 

0.04 

1.0 

112-268 

3.1-18.7 

0.07-1.76 

0.02-0.16 

0.12-1.39 

0.22-3.23 

0.0I-O.09 

0.3-3.7 

Lake  Irout 

1968 

18 

2016 

8.0 

1.44 

0.24 

1.04 

2.72 

0.08 

0.7 

455-5506 

1.3-14.7 

0.16-7.11 

0.01-1.32 

0.02-5.68 

0,27-14.1 

0.01-0.26 

<0. 1-2.0 

1969 

20 

734 

6.4 

0.43 

0.12 

0.43 

0.98 

0.03 

0.3 

409-171X) 

1.7-14.4 

0.20-0.75 

0,04-0.20 

0.19-0.77 

0.43-1.69 

<0.0 1-0.05 

0.1-0.6 

1971 

5 

1901 

17.4 

0.9S 

0.09 

0.65 

1.72 

0.03 

1.8 

1572-2728 

15.7-22.1 

0.59-1.25 

0.06-0.11 

0.38-0.82 

1.03-2.18 

0.02-0.05 

1.1-2.3 

1975 

10 

1121 

20.7 

0.11 

0.01 

0.05 

0.17 

0.04 

0.4 

555-1432 

14.7-29.4 

0.09-0.16 

<0. 01-0.03 

0.02-0.09 

0.10-0.24 

0.03-0.05 

0.3-0.6 

Lake  whilefish 

1971 

5 

959 

12.0 

0.35 

0.04 

0.35 

0.74 

0.04 

0.8 

895-1060 

8.5-14.2 

0.29-0.45 

0.03-0.05 

0.. 10-0.43 

0.6.3-0.93 

0.03-0.05 

<0. 1-1.0 

1975 

11) 

1135 

10.8 

0.16 

0.02 

0.06 

0.24 

0.07 

0.3 

766-1400 

6.2-12.2 

0.09-0,29 

0.01-0.03 

<0.01-0.16 

0.12-0.48 

0.04-0.11 

0.1-0.7 

1  In  1975  traces    (0,004  ppm )   of  cis-  and  /rflM5-chlordane  were  detected   in  st.>me  bloater,   while  sucker,  lake  Iroul.  and  lake  whitefish. 
-<0.01  ppm  represents  a  trace  of  contaminani  above  the  level  of  detection  (0.001  ppni )  but  uelow  0.010  ppm. 
■'Composite  of  19  fish. 


off  Grass  Cap  Point  in  1971  ha(i  resi(iues  of  2.2  ppm  and 
2.3  ppm  PCBs  and  two  bloaters  caught  commercially  in 
I97.'>  had  residues  of  2.1  ppm  and  3.7  ppm.  Mean  resi- 
dues for  lake  trout  in  1971  and  bloaters  in  197.S  were 
1.8  ppm  and  1.0  ppm,  respectively. 

TABLE  2.     Ratios  of  organochlorinc  contantinants  in  four 

species  of  fisli  cauglit  in  Luke  Superior,  Luke  Huron, 

and  Georgian  Bay,  1968-76 


Year 

DDE+TDE 
^DDT 

i;DDT 
PCBs 

:cddt 

PCBs 

Species 

Dieldrin 

DnU-DRlN 

Lake  Superior 

Bloater 

1971 

0.65 

2.0 

50 

30 

1975 

0.56 

1.1 

30 

25 

While  sucker 

1971 

0.69 

0.5 

21 

20 

1975 

0.75 

0.8 

10 

15 

Lake  trout 

1968 

0.62 

3.9 

91 

9 

1969 

0.56 

3,3 

33 

10 

1971 

0.62 

0.9 

50 

60 

1975 

0.70 

0.4 

5 

10 

Lake  whilefish 

1971 

0.53 

0.9 

19 

20 

1975 

0.75 

0.8 

3 

4 

Lake  Huron  (Mt 

MM  Lake 

) 

Bloater 

1969 

0.74 

3.5 

69 

20 

1970 

0.52 

1.8 

29 

16 

1971 

0.64 

2.1 

94 

44 

Cisco 

1969 

0.66 

6.1 

61 

10 

1976 

0.95 

1.0 

6 

7 

Coho  salmon 

1968 

0.54 

0.5 

26 

50 

1969 

0.68 

2.5 

51 

20 

1970 

0.60 

1.6 

25 

15 

1971 

0.61 

1.2 

19 

17 

1975 

0.91 

0.4 

7 

16 

Lake  whitelish 

1969 

0.36 

3.6 

9 

-) 

1972 

0.60 

1.4 

9 

1 

1973 

0.60 

1.2 

8 

7 

1976 

0.80 

0,6 

"> 

3 

Georgian  Bay 

Bloater 

1971 

0.66 

1.0 

24 

24 

1975 

0.61 

0.7 

5 

7 

Cisco 

1969 

0.38 

3.2 

159 

50 

1976 

0.62 

0.7 

8 

12 

Mean  PCB  residues  declined  in  lake  trout  and  lake 
whitefish  between  1971  and  1975  but  increased  in  bloat- 
ers over  the  same  period.  Comparison  of  lake  trout  by 
weight  class  revealed  no  significant  decline  in  PCB  resi- 
dues (Table  3).  The  i:DDT/PCB  ratio  in  all  species  de- 
clined, suggesting  the  disappearance  of  XDDT.  The 
PCB/dieldrin  ratio  indicates  that  dieldrin  is  more  per- 
sistent in  fish  tissues  than  are  PCBs. 

Other  organochloriiu's — Trace  quantities  (<0.01  ppm)  of 
CIS-  and  traiis-chlordane  were  detected  in  some  bloaters, 
white  sucker,  lake  trout,  and  lake  whitefish  caught  in 
197.^,  but  no  o.xychlordane,  endrin.  or  heptachlor  epox- 
ide was  detected  in  fish  caught  in  I9(iS-73. 

LAKE  HURON 

-DDT — Three  fish  species  caught  in  Lake  Huron  and 
Georgian  Bay  contained  mean  residues  that  exceeded 
5  ppm.  These  included  walleye  (5.05  ppm)  caught  in 
southern  Lake  Huron  in  1970,  lake  trout  (7.60  ppm) 
caught  in  Georgian  Bay  in  1969,  and  bloaters  (5.18  ppm) 
caught  in  1971  in  Georgian  Bay  (Table  4).  Individual 
fish  of  five  species  contained  -DDT  residues  in  excess  of 
5  ppm  including;  bloaters  (1970  and  1971),  coho  salmon 
(1970),  and  walleye  (1970),  caught  in  the  southern  half 
of  Lake  Huron;  and  bloaters  (1971).  rainbow  trout 
(1968),  lake  trout  (1969),  and  walleye  (1969  and  1970) 
caught  in  Georgian  Bay  (Table  4,  Figure  1). 

i;DDT  residues  declined  noticeably  between  1968-71 
and  1975-76  in  six  species  including  alewife  (Alosa 
pscudoharengiis),  smallmouth  bass  (Micropterus  dolo- 
itiiciii).  Cisco  fCoregoniis  artedii).  coho  salmon,  rainbow 


Vol.  1  2,  No.  2,  September  1978 


63 


TABl  F.  3.     Comparison  of  organocMorinc  residues  in  Iwo  weiglil  classes  of  splake,  lake  trout, 
and  lake  whitefish  cauglit  in  Lake  Huron  and  Lake  Superior,  1969-76 


Spi  cii  s 

0.5-1.0 

KG  Class 

L0-L5 

KG  Class 

AND 

No.  OF 

Weight. 

Fat. 

2  DDT. 

DiELDRIN, 

PCBs. 

No.  OF 

Weight. 

Fat, 

2  DDT, 

DiELDRIN, 

PCBs, 

Location 

Year 

Fish 

G 

'■/o 

PPM 

PPM 

PPM 

Fish 

c 

% 

PPM 

PPM 

PPM 

Splake 

Lnkc  Huron 

1969 

3 

821 

6.8 

1.61 

0.06 

0.2 

5 

1351 

6.9 

0.86 

0.03 

0.3 

1970 

3 

784 

13.2 

1.16 

0.06 

1.6 

8 

1220 

17.6 

1.35 

0.07 

1.5 

1972 

3 

787 

10.8 

0.87 

0.05 

0.7 

1973 

10 

690 

6.6 

0.77 

0.03 

0.6 

4 

1108 

12.2 

0.75 

0.06 

0.9 

1974 

1 

526 

3.3 

0.11 

<o,ni 

0.1 

4 

1271 

4.4 

0.15 

0.02 

0.3 

Georgian  Bay 

1975 

6 

747 

11.9 

0.78 

0.14 

1.4 

6 

1185 

14,1 

0.87 

0.16 

1.9 

Whilefish 

Lake  Superior 

1971 

3 

910 

12.5 

0.71 

0,04 

0.8 

1 

1032 

11.3 

0.78 

0.04 

0.8 

1975 

1 

766 

S.6 

0.28 

0.04 

0.2 

9 

1176 

11.0 

0.22 

0.07 

0.3 

Lake  Huron 

1969 

T> 

730 

5.4 

0.40 

0.05 

0.1 

1 

1180 

3.7 

0.25 

0.03 

<0.I 

1972 

12 

813 

8.2 

0.55 

0.07 

0.3 

7 

1142 

12.3 

0.87 

0.09 

0.6 

1973 

7 

1172 

17.1 

0.64 

0.08 

0.4 

1976 

2 

850 

3.7 

0.08 

0.03 

0.1 

10 

1237 

6.3 

0.12 

0.07 

0.2 

North  Channel 

1969 

6 

936 

3.2 

0.14 

0.01 

<0.1 

8 

1187 

6.1 

0.89 

0.10 

0.1 

1970 

1 

980 

8.6 

0.80 

0.05 

0,4 

2 

1285 

10.6 

0.71 

0.07 

0.4 

Georgian  Bay 

1969 

4 

939 

4.5 

0.44 

0.01 

0.1 

6 

1131 

3.7 

0.54 

0.01 

0.2 

Lake  Troui 

Lake  Superior 

1968 

8 

698 

4.8 

0.818 

0.046 

0.21 

4 

1566 

10.6 

4.94 

0.128 

1.19 

1969 

1(1 

619 

3.8 

0.731 

0,1124 

0.25 

10 

1308 

8.8 

1.25 

0.040 

0.34 

1970 

4 

1694 

17.9 

1.75 

0.033 

1.88 

1975 

3 

768 

18.6 

0.192 

0.037 

0.33 

7 

1272 

21.6 

0.17 

0.037 

0.49 

smelt  iOsntcrus  inordu.x}.  and  walleye  from  the  main 
waters  of  Lake  Huron,  and  bloaters  from  Georgian  Bay. 
-DDT  mean  residues  were  erratic  or  unchanged  in  cisco, 
splake  (Salveliniis  foniinalis  and  5.  nainaycush).  and 
walleye  caught  in  Georgian  Bay  and  in  splake  and  lake 
whitefish  caught  in  the  main  lake. 

To  determine  whether  -DDT  residues  in  splake  and  lake 
whitefish  had  declined,  similar  weight  classes  were  com- 
pared (Table  3).  2;DDT  levels  in  splake  with  an  average 
weight  of  1250  g  declined  between  1971  and  1974  from 
I. .35  ppm  to  0.15  ppm.  A  similar  decline  in  2;DDT 
residues  in  lake  whitefish  was  noted  between  1972  and 
1976.  Cisco,  coho  salmon,  and  lake  whitefish  all  showed 
a  marked  increase  in  the  DDE  +  TDE/2;DDT  ratio  dur- 
ing the  present  stud\  (Tabic  2),  suggesting  a  lower  intake 
of  the  parent  compound  and 'or  degradation  to  metabo- 
lites; this  decline  was  not  evideiil  in  bloaters. 

Dietdrin — Mean  residues  for  all  species  investigated  did 
not  exceed  the  0.3  ppm  tolerance  level  set  by  FDA. 
However,  individual  fish  of  three  species  exceeded  the 
level.  One  of  20  lake  whitefish  caught  in  the  North 
Channel  in  1969  contained  0.58  ppm  dieldrin;  one  of  10 
bloaters  caught  in  Lake  Huron  in  1970  had  a  residue  of 
0.44  ppm  dieldrin:  five  of  10  bloaters  caught  in  Cieorgian 
Bay  in  1975  contained  dieldrin  levels  of  0.34-0.50  ppm; 
10  of  20  bloaters  caught  in  the  North  Channel  in  1975 
contained  residues  of  0.3  -0.6  ppm  dieldrin;  and  two 
large  splake  caught  in  Lake  Huron  contained  residues 
of  0.43  ppm  and  0.53  ppm  dieldrin.  The  10  bloaters 
caught  in  the  North  Channel  during  1975.  which  had 
residues  above  the  tolerance  level,  weighed  an  averace 


64 


of  333  g  and  contained  an  average  of  0.40  ppm  dieldrin. 
The  remaining  10  bloaters,  which  averaged  236  g,  con- 
tained a  mean  residue  of  0.19  ppm  dieldrin.  In  this  in- 
stance, and  in  the  case  of  the  splake,  higher  dieldrin 
residues  were  associated  with  larger  fish,  but  this  rela- 
tionship was  not  apparent  in  the  10  bloaters  caught  in 
Georgian  Bay  in  1975  (Table  4). 

Dieldrin  levels  increased  in  alewifc,  bloaters,  cisco.  yel- 
low perch  iPcrca  flavcsccns).  coho  salmon,  and  splake 
during  l9(iS-71  and  1975-76;  levels  in  other  species 
showed  little  change.  Assessment  of  dieldrin  levels  on 
the  basis  of  similar  weight  classes  of  lake  whitefish  and 
splake  indicate  that  residues  declined  in  lake  whitefish 
and  increased  in  splake  (Table  3).  A  marked  decline  was 
noted  in  the  -DDT  dieldrin  ratio  in  four  species:  in 
cisco,  for  example,  the  ratio  declined  from  61  to  6  be- 
tween 1969  and  1976.  The  PCB/dieldrin  ratio  also 
declined  in  the  same  four  species  suggesting  declining 
PCB  residues  and  static  or  increasing  dieldrin  residues 
(Table  2). 

PCBs — Three  fish  species  contained  mean  PCB  residues 
which  exceeded  the  2  ppm  tolerance  level  set  by  Health 
and  Welfare  Canada.  Bloaters  from  the  main  lake 
(1970  and  1971),  from  Cieorgian  Bay  (1971  and  1975). 
and  from  the  North  Channel  (1975)  contained  mean 
residues  of  2.2-5.2  ppm.  Individual  bloaters  hatl  resi- 
dues as  high  as  5.0  ppm  and  6.4  ppm  (Table  4).  Cisco 
netted  in  Georgian  Ba\  during  1975  contained  a  mean 
PCB  residue  of  2.2  ppm  and  a  high  level  of  4.6  ppm  in 
individual  fish.  Two  large  splake  taken  from  the  main 
waters  of  Lake  Huron  in  1975  contained  levels  of  5.5 
ppm  :nid  (\4  ppm  PCBs. 

Pisrii  ini  s  MoNiroKiNC.  Joi'knai, 


TABLE  4.     Organochlorine  residues  in  14  fish  species  caught  in  the  North  Channel, 
Georgian  Bay,  and  Canadian  waters  of  Lake  Huron,  1968-76 


Year 

Location 

No.  OF 
Anal- 

YSESl 

Mean  and  Range 

Mean  1 

roNTENT  AND 

Range  of  Contaminants  in 

1  Fish  Puree, 

Weight,       Fat. 
0                Tc 

PPM  = 

Species 

DDE 

TDE 

DDT 

2  DDT 

Dieldrin 

PCBs 

Catosromidae 

White  sucker 

1972 

Huron 

5 

723 

2.5 

0,08 

0.01 

0.02 

o.u 

<0.01 

0.1 

550-909 

1.8-3.3 

0,05-0.13 

<0.0 1-0.03 

<0.0 1-0.06 

0.06-0.22 

<0,l-0.2 

1973 

Georgian 

4 

131 

0.7 

<0.0I 

<0.01 

<0.01 

0.01 

<0.01 

0.1 

Bay 

66-212 

0.2-1.0 

<0.01-0.02 

<0.01-0.03 

<0.1-0.2 

1976 

Huron 

10 

977 

0.6 

0.06 

<0.01 

0.02 

0.09 

<0.01 

O.l 

738-1 83-i 

'     0.1-1.1 

<0.01-0.20 

<0.01-0.14 

<0.0 1-0.37 

<0.1-0.2 

Centrachidae 

Smallmouth 

1968 

Huron 

3 

499 

3.1 

0.68 

0.76 

0,53 

1.97 

<0.01 

0,9 

bass 

429-630 

2.0-4.9 

0.12-1.69 

0.15-2,02 

0.12-1.23 

0.30-4.94 

0.2-2.0 

1972 

Huron 

5 

353 

3.7 

0.12 

0.01 

0.03 

0.16 

0,01 

0.4 

298-437 

2.6-4.5 

0.11-0.13 

0.02-0.04 

0.15-0.18 

<0,0 1-0.03 

0.3-0.5 

1972 

Georgian 

6 

281 

2.8 

0.05 

0.01 

<0.01 

0.07 

<0.01 

0.01 

Bay 

270-300 

1.6^.0 

0.04-0.07 

0.01-0.02 

0.06-0.10 

0.1-0.1 

1975 

Georgian 

9 

364 

3.2 

0.17 

0.01 

0.03 

0.21 

0.03 

0.6 

Bay 

275-562 

1.7-4.5 

0.09-0.28 

<0.01-0.04 

<0.01-0.08 

0.12-0.36 

<0.0 1-0.09 

0.4-0.9 

Clupeidae 

Alewife 

1970 

Huron 

8(21) 

33 

7.5 

0.76 

0.23 

0.64 

1.63 

0,08 

1.1 

26-40 

1.5-13.2 

0.16-1.40 

0,04-0,52 

0.22-1.48 

0.27-3.40 

0,01-0,22 

0.5-2.0 

1976 

Huron 

5(23) 

23 

10.7 

0.44 

0.10 

0.26 

0.80 

0.14 

0.3 

3-49 

5.8-16.9 

0.04-1.08 

0,01-0.12 

0.01-0.54 

0.06-1.74 

<0.01-0.25 

0.1-0.6 

Osmeridae 

Rainbow  smelt 

1970 

Huron 

8(21) 

22 

6.5 

0.36 

0.12 

0.32 

0.80 

0.04 

0.7 

12-67 

4.0-8.4 

0.06-0,97 

0.01-0.25 

0.02-0,80 

0.11-1.86 

<0.01-0.15 

0.2-1.0 

1970 

N.  Channel  5(24) 

26 

3.6 

0,12 

0.04 

0,15 

0.31 

0.02 

0,1 

18-44 

2,8-4.4 

0,05-0.20 

0.03-0.05 

0,08-0,20 

0.15-0.45 

<0.01-0.03 

1976 

Huron 

7(32) 

14 

2.7 

O.II 

0.02 

0.02 

0.15 

0.01 

0.01 

7 -.30 

1.2-3,9 

0.05-0.19 

0.01-0.02 

<0.0 1-0.03 

0.08-0.23 

<0.0 1-0.02 

<0. 1-0.2 

Percidae 

Yellow  perch 

1968 

Huron 

5 

335 

0.8 

0.20 

0.12 

0.20 

0.52 

<0.01 

0.2 

118^26 

0.5-1.0 

0.06-0.61 

0.02-0.47 

0.08-0.51 

0.1^1.59 

<0.1-0,5 

1969 

N.  Channel  20 

201 

1.4 

0.03 

0.01 

0.03 

0.07 

<0.01 

<0,1 

167-341 

0.5-2.4 

<0.01-0.08 

<0.01-0.03 

<0.01-0.05 

<0,01-0,13 

1972 

Huron 

5 

67 

4.4 

0.07 

0.01 

0.03 

O.U 

0.01 

0.1 

64-74 

3.8-5.3 

0.06-0.08 

0.01 

0.02-0.03 

0.09-0.12 

<0.0 1-0.02 

1975 

N.  Channel   10 

175 

6.1 

0.36 

0.03 

0.09 

0.48 

0.05 

0.9 

150-197 

3.5-8.6 

0.13-0.57 

<0.0 1-0.05 

<0.01-0.17 

0.1-3-0.72 

0,02-0,09 

0.4-1.4 

1976 

Huron 

17 

236 

2.5 

0.21 

0.03 

0.08 

0.32 

0,02 

0,2 

66-481 

0.7-5.4 

0.06-0.68 

0.01-0.08 

0.01-0.55 

0.07-1.31 

<0.0 1-0.05 

<0. 1-0.4 

Walleye 

1968 

Huron 

3 

409 

0.8 

0.12 

0.04 

0.13 

0.29 

<0.01 

0,1 

390-426 

0.6-0.9 

0.06-0.22 

0.02-0.07 

0.08-0.21 

0.16-0.50 

<0. 1-0.1 

1969 

Georgian 

15 

2073 

2.6 

1.05 

0.24 

1,08 

2.37 

0.02 

1.5 

Bay 

792-4190 

0.6-6.0 

0.23-3.53 

0.06-0.81 

0.23-4.03 

0.54-8.36 

<O.01-0.O7 

0.5-2.1 

1970 

Huron 

2 

2083 

10.1 

2.37 

0.64 

2,04 

5.05 

0.08 

1.3 

1910-2255 

9.7-10.4 

1.80-2.91 

0.43-0.84 

1.65-2,47 

3.88-6.22 

0.06-0.08 

0.7-1.9 

1970 

Georgian 

21 

3236 

4.7 

0.94 

0.23 

0,98 

2.15 

0.04 

1.4 

Bay 

1721-4760 

1.2-10.6 

0.23-3.70 

0.04-0.85 

0,18-3,88 

0.45-8.33 

<0.01-0.16 

0.5-2.3 

1970 

N.  Channel 

1  3 

605 

2.1 

0.19 

0.04 

0.16 

0.39 

<0.01 

0.1 

526-715 

1.3-3.5 

0.16-0.23 

0.04-0.05 

0.13-0.21 

0.34-0.49 

<0. 1-0.1 

1971 

Georgian 

10 

2859 

5.8 

1.74 

0.21 

1.11 

3.06 

0.03 

1.8 

Bay 

1  132^756 

2.9-11.6 

0.08-4.08 

0.04-0.37 

0.04-2.32 

0.1^6.93 

<0.01-0.07 

0.1-3.9 

1975 

Huron 

10 

2539 

4.7 

0.38 

0.05 

0.27 

0.70 

0.03 

0.5 

722   5218 

1.5-13.3 

0.16-1.01 

<l).0 1-0.15 

0.03-1.01 

0.27-2.17 

0.01-0.13 

0.3-2.5 

Salnionidae 

Bloater 

1969 

Huron 

15 

97 

3.0 

0.39 

0.12 

0.18 

0.69 

0.01 

0.2 

55-143 

1.4-7.7 

0.06-1.54 

0.02-0.50 

0.04-0.66 

0.20-2.71 

<0.01-0.02 

<0. 1-0.7 

1970 

Huron 

10 

260 

16.(1 

1.95 

0.49 

2.24 

4.68 

0.16 

2.6 

148-307 

8.1-26.7 

1.00-3.69 

0.20-1.03 

1.01-5.17 

2.48-9.88 

0.04-0.44 

1.5-5,0 

1971 

Huron 

6 

71 

15.0 

2.73 

0.29 

1.69 

4.71 

0.05 

2.2 

61-101 

7.2-21.1 

2.02-4.34 

0.05-0.78 

1.14-2.40 

3.44-7.52 

0.03-0.07 

1.1-3.2 

1971 

Georgian 

4(12) 

259 

20.1 

2.90 

0.53 

1.75 

5.18 

0.22 

5,2 

Bay 

140-433 

18.0-23.!) 

2,34-3,83 

0.29-0,75 

1.63-1.85 

4.26-6.43 

0.18-0,28 

4.3-6.4 

1975 

Georgian 

10 

219 

16.3 

0,71 

0.16 

0.56 

1.43 

0.30 

2.2 

Bay 

179-250 

8.1-20.1 

0,33-1.15 

0.01-0.30 

0.15-1.11 

0.49-2.56 

0.10-0.50 

0.8-4.4 

1975 

N.  Channel 

20 

285 

22.9 

1.16 

0.17 

0.54 

1.87 

0.29 

2.6 

134-560 

15.5-29.8 

0.56-2.34 

<0.0 1-0.41 

0.01-1.48 

0.74-4.18 

<0.01-0.60 

0.6-5.2 

Cisco 

1969 

Huron 

2 

180 

5.4 

0.35 

0.05 

0.21 

0.61 

0.01 

O.I 

100-260 

2.0-8.8 

0.18-0.52 

0.02-0.07 

0.07-0.35 

0.27-0.94 

<0.0 1-0.02 

<0. 1-0.2 

1969 

Georgian 

10 

820 

7.2 

0.41 

0.19 

0,99 

1.59 

0.01 

0.5 

Bay 

337-937 

4.8-9.4 

0.22-1.01 

0.08-0,40 

0.54-2,58 

0.83-3.99 

<0.0 1-0,02 

0,2-1.1 

1975 

Georgian 

6 

543 

18.0 

0.78 

0,15 

0.58 

1.51 

0.19 

2.2 

Bay 

352-710 

11.3-24.7 

0.47-1.14 

0,09-0,29 

0.26-1.22 

0.83-2.65 

0.12-0.30 

1,3^.6 

1976 

Huron 

9(11) 

138 

5.0 

0.14 

0.05 

0.01 

0.20 

0.03 

0.2 

47-242 

3.0-7.5 

0.11-0,19 

0.03-0.09 

<0.01-0.02 

0.14-0.29 

0.01-0.08 

0.1-0.4 

(continued  next  page) 

Vol.  12,  No, 

.  2,  September  ] 

1978 

65 

TABLE  4.   (cont.dJ      Organochlorinc  residues  in  14  fish  species  caught  in  the  North  Channel, 
Georgian  Bay,  and  Canadian  waters  of  Lake  Huron,  1968-76 


No.  OF 
Anal- 
yses' 

Mean  and  Range 

Year 

Location 

Weiomi, 

G 

Fat, 

Mean  Content  and  Range  of  Contaminants  in 

Fish  Puree,  ppm^ 

Species 

% 

DDE 

TDE 

DDT 

SDDT 

Dieldrin 

PCBs 

Coho  salmon 

1968 

Huron 

8 

81 

3.9 

0.11 

0.03 

0.12 

0.26 

<0.01 

0.5 

39-163 

1.2-5.4 

0.04-0.42 

0.01-0.12 

0.04-0.43 

0.09-0.97 

0.01-0.03 

0.2-1.0 

1969 

Huron 

5 

1885 

5.8 

0.88 

0.16 

0.48 

1.52 

0.03 

0.6 

11 38    33  35 

5.1    6.5 

0.31-2.01 

0.13-0.21 

0.35   0.62 

0.87-2.84 

0.01-f).05 

0.3-1.2 

1970 

Huron 

41 

1031 

4.9 

0.48 

0.11 

0.39 

0.98 

0.04 

0.6 

754-1595 

0.8-11.1 

0.9  5.2 

0.03-0.66 

0.08-1.89 

0.22-7.75 

O.Ol-fJ.24 

0.1-7.0 

1971 

Huron 

1(1 

936 

8.0 

0.50 

0.20 

0.45 

1.15 

0.06 

LO 

475-1395 

4.9-13.0 

0.23-1.15 

0.07-0.62 

0.16  0.80 

0.48-2.09 

0.02-0.13 

0.2-2.1 

1975 

Huron 

11 

2284 

5.8 

0.43 

0.05 

0.05 

0.53 

0.08 

1.3 

280-4356 

3.9-8.4 

0.04-0.94 

<0.01-0.14 

<0.01-0.19 

0.05-1.22 

0.01-0.16 

0.1-3.3 

Kokancc  salmon 

1968 

Huron 

2 

95 

3.5 

0.44 

0.12 

0.59 

1.15 

0.04 

0.3 

94-96 

2.8-4.2 

0.08-0.80 

0.02-0.22 

0.10-1,08 

0.20-2.00 

<0,0I-0,07 

0.1-0.4 

1969 

Huron 

II 

98 

3.3 

0.10 

0.03 

0.10 

0.23 

0.01 

<0.l 

58-375 

1.4-5.3 

0.02-0.80 

•^O.0 1-0.06 

0.03-0.18 

0.06-0.57 

<0.01-0.03 

1970 

Huron 

15 

512 

4.1 

0.38 

0.12 

0.45 

0.95 

0,04 

0.6 

204-1098 

0.9-7.8 

0.17-0.67 

0.05-0.24 

0.16-1.03 

0,78    1.76 

^ooi-o,^ 

0.2-1.0 

Splakc 

1969 

Huron 

20 

1113 

6.3 

0.43 

0.14 

0.46 

1.03 

0,04 

0.2 

25  2354 

1.8-10.1 

0.03-0.85 

0.02  0.33 

0.03-0.85 

0.08-2.11 

<0,01-0,(J9 

<0. 1-0.5 

1970 

Huron 

23 

810 

10.2 

0.37 

0.13 

0.50 

1 .00 

0,04 

1.0 

208-1420 

3.2-15.7 

O.I  2-0.82 

0.04-0.20 

0.01-1.03 

0.19-1.81 

<'0.0l-0.12 

0.1-1.5 

1972 

Huron 

5 

544 

8.5 

0.30 

0.04 

0.28 

0.62 

0.03 

0.5 

138-877 

5.1-11.7 

0.14-0.44 

0.01-0.04 

0.08  0.56 

0.23-1.10 

0.01-0.05 

0.2-0.9 

197:1 

Huron 

26 

556 

8.8 

0.38 

0.03 

0.06 

0.47 

0,03 

0.4 

96  450 

3.6    16  1 

0.03-1.20 

■^0.01-0.13 

<0.01-0.16 

0.04-1.31 

<0.01-0,10 

<0.1-1.5 

1974 

Huron 

7 

1238 

4.1 

0.11 

0.01 

0.03 

0.15 

0.02 

0.2 

526-1540 

2.7-5.9 

0.06-0.19 

<^0.01-0.02 

<0.01-0.05 

0.08-0,25 

<0.0 1-0.04 

<0.1-0.7 

1975 

Huron 

2 

2127 

17.2 

1.80 

0.42 

0.46 

2.68 

0.48 

6.0 

1997   2256 

13.6-20.8 

1.58-2.02 

0.40-0.44 

0.37-0.55 

2.39-2.97 

0,43  0,53 

5.5-6.4 

1975 

CicorKian 

17 

1048 

13.3 

(1.52 

0.08 

0.18 

0.78 

0,15 

1.6 

Bay 

458    1798 

8.5-17.4 

0.18  0.88 

0.03    0.1  1 

0.10-0.37 

0.28-1.12 

0,08-0,18 

0.6-2.3 

Rainbow  trout 

1968 

Georgian 

12 

857 

5.5 

0.74 

0.17 

0.84 

1.75 

0.04 

0.3 

Bay 

284-1850 

3.2-7.8 

0.12-6.17 

0.02-1.27 

0.13-5.70 

0.27-13.1 

<0.01-0.19 

<0.1-1.5 

Lake  trout 

1969 

Georgian 

4 

6328 

13.4 

4.04 

0.50 

3.06 

7.60 

0,07 

0.7 

Bay 

4200-8740 

12.9-13.8 

3.14  5.51 

0.45  0.63 

2.66   3.71 

6.28   9.85 

0.06-0,09 

0.4-0.9 

Lake  whilcfpsh 

1969 

N.  Channel  21) 

1430 

4.8 

0.13 

0.07 

0.36 

0.56 

0,06 

0.1 

854-2785 

0.8-8.9 

0.03-1.58 

0.01-0.3  1 

0.66   2.66 

0.10   4.75 

<0.0 1-0.58 

<0.1-0.7 

1969 

Huron 

26 

711 

5.0 

0.13 

0.05 

0.18 

0.36 

0.04 

0.1 

386    1080 

2.9   9.9 

0.07  0.24 

0.02-0.10 

0.04-0.36 

0.16-0.73 

<0,OI-0.08 

<0.1-0.3 

1969 

Georgian 

10 

1054 

4.0 

0.20 

0.09 

0.22 

0.51 

0,01 

0.2 

Bay 

881-1241 

3.2-6.4 

0.10-0.31 

0.03-0.13 

0.09   0.33 

0.22  0.78 

<0,0 1-0,02 

<0. 1-0.3 

1970 

N.  Channel  1 

1183 

9.9 

0.27 

0.07 

0,40 

0.74 

0,06 

0.4 

980-1361 

8.6   11.7 

0.23   0.29 

0.07 

0.33-0.45 

(1.63-0,80 

0.05-0.09 

0.2-0.5 

1972 

Huron 

25 

761 

8.2 

0.28 

0.65 

0.22 

0.55 

0.06 

0.04 

80-1393 

1.8  21.9 

0.07   1.02 

0.01-0.16 

0.03    0.42 

0.I1-I.47 

0.01-0.11 

0.1-0.8 

197.1 

Huron 

19 

804 

14.2 

0.23 

0.05 

0.19 

0,47 

0.06 

0.04 

108-1747 

6.9-26.5 

0.03-1.48 

0.01-0.21 

0,02-0.92 

0.07-2.61 

^0.01-0.25 

<0. 1-0.6 

1976 

Huron 

l-i 

1323 

5.8 

0.08 

0.02 

0.03 

0.13 

0,06 

0.2 

802-2495 

2.5-11.6 

0.04  0.15 

0.01-0.03 

0.02-0.05 

0.07-0,23 

0.03-0.14 

0.1-0.5 

'Most  analyses  were  performed  on  single  fish;  where  composites  were  analyzed,  the  number  of  fish  is  given   in  parentheses.    Composities  were  of 
similar  weight. 
-'<0.01  ppm  represents  a  trace  of  conlaminanl  above  the  level  of  dcleclion  (0.001  ppm)  but  below  0.010  ppm. 


Alewifc,  rainhow  smell,  and  walleye  caught  in  the  main 
waters  of  Lake  Huron  were  the  only  species  in  which 
I'f  »  levels  declined  between  1968-71  and  l'.'7.'5-76. 
Residues  in  cisco  from  Cjcorgian  Bay.  yellow  perch  from 
Ihc  North  Channel,  and  coho  salmon  and  splakc  from 
the  main  lake  increased  during  these  periods.  In  the 
above  species  caught  in  other  locations  and  in  other  spe- 
cies, no  trend  was  evident;  PCB  levels  were  static. 
Analysis  of  splakc  and  lake  whitefish  on  the  basis  of 
similar  weight  classes  indicates  that  PC'B  levels  peaked 
in  splake  in  1970  and  then  declined  between  1971)  and 
1974.  CfB  levels  in  lake  whitefish  declineti  between 
1972  and  1976  (Table  3j. 

In  general,  the  iDDT/PCB  and  PCB/dieldrin  ratios 
declined  between  196S-7I  and  I97.S-76  in  four  species; 


bliialers,  cisco,  coho  salmon,  and  lake  whitefish;  this  sup- 
ported the  finding  that  -DDI  residues  were  declining, 
dieldrin  residues  were  increasing,  and  PC'B  residues  were 
static  or  declining  slowly  (Tabic  2). 

Chlorduni — Residues  ot  chlordane  were  detccled  in 
smallmoulh  bass  and  walleye  caught  in  Georgian  Bay  in 
197-5  at  mean  levels  of  0.01  ppm  and  O.O.S  ppm,  respec- 
tively (sum  of  CIS-  and  fra/i.r-isomers).  Trace  levels 
(•^'0.01  ppiii)  were  suspected  in  bloaters,  cisco,  coho 
salmon,  and  splake  in  197.'^.  O.xychlordane  analysis  was 
included  in  1976.  Total  chlordane  levels  found  in  1976 
ranged  from  traces  in  yellow  perch  tti  O.O.V;  ppni  in  ale- 
wife;  both  species  were  caiighl  in  Ihc  open  part  of  Lake 
Huron  (Table  .'!). 


66 


Pesticides  Monitoring  Journ,\i 


TABLE  5.     Rcxiiliics  of  chlonhiiic  tind  licpliwlitor  epoxide 

ill  fish  from  llic  main  waters  of  Lal<e  Huron 

and  Georgian  Bay,  1975-76 


Location 

No.  OF 

Average 
Wrinnr. 

Average 
Fat, 

Residue, 

PPM 

AND 

Heptachi.or 

Species 

FiSHi 

c, 

% 

Chlordane- 

Epoxide 

1975  Georgian 

Bay 

Smallmoulli 

9 

364 

3.2 

0.01 

ND 

bass 

<0.01-0.04 

Walleye 

10 

2539 

4.7 

0.05 
<0.01-0.19 

Nn 

/976  liiAf  Hiiriin 

Ak-wife 

23(5)- 

23 

10.7 

0.039 
0.004-0.060 

0.026 
ND-0.100 

Cisco 

11(9) 

138 

5.0 

0.025 
0.015-0.040 

0.013 

Nn-o.n44 

Yellow  perch 

17 

236 

2.5 

<0.001 
ND-0.()13 

0.002 
ND  .0.0114 

Rainbow  smell 

.12(7) 

14 

2.7 

0.002 
ND-0.0I3 

0.004 
ND-0.007 

While  sucker 

10 

977 

0.6 

0.001 
ND-0.013 

0.002 
ND-0.006 

Lake  whitefish 

15 

1323 

5.8 

0.047 
0.025-0.087 

0.026 
0.013-0.065 

NOTE:   ND  =  nol  delected  lo  less  than  0.005  ppm. 
^Number  in  brackets  represents  number  of  analysis. 
-1975  analyses  included  vis-  and  rrr/M-s-isomers;   1976  analyses  included 
CM-  and  rr«»v-chlordane  and  oxychlordane. 


Ih'pfarhior  vpuxidi — No  hcpUithlor  epoxide  w;is  idciili- 
fied  in  fish  caught  prior  to  1976.  Meiin  residues  in  ale- 
wife  caught  in  197fi  ranged  from  0.002  ppm  in  yellow 
perch  to  0.026  ppm  in  alewife  caught  in  the  main  lake 
(Table  5). 

Hexiichloroheitzeiiv  lllCli) — Analyses  lor  l\CU  in  lish 
tissues  were  not  routinely  carried  out  during  the  study 
period.  An  indication  of  the  extent  of  HCH  in  fish  was 
obtained  from  samples  caught  in  1972  and  1973  from 
Lake  Huron.  One  of  five  splake  caught  in  the  open  lake 
contained  0.001  ppb  HCB,  and  smell  caught  olf  Black 
Stone  Harbour  in  Georgian  Bay  contained  0.03  ppm. 
HCB  was  not  detected  in  a  limited  number  of  small- 
mouth  bass,  yellow  perch,  or  lake  whitefish  from  either 
Georgian  Bay  or  Ihe  main  lake. 

Discussion 

lake  Superit)r  water  analyzed  by  Glooschenko  et  al.  13) 
was  free  of  DDT,  dieldriii,  and  PCBs  down  lo  the  detec- 
tion limit.  However,  residues  of  these  contaminants 
were  lound  in  sediment  and  seston.  Setlimeiil  samples 
taken  from  various  sites  in  the  Canadian  waters  ol  Lake 
Superior  had  measurable  amounts  (0.005  ppm)  of  di- 
eldrin  and  -DDT  in  14  percent  and  5  percent,  respec- 
tively. PCB  resitlues  were  present  in  all  sediments  al  all 
sites;  highest  level  reported  was  1.3  ppm  in  samples 
collected  near  Marathon.  Seston  contained  only  traces 
of  i;DDT  and  dieldrin,  but  the  mean  level  of  PCBs  was 
1.3  ppm,  identical  lo  that  in  the  sediments. 

Levels  of  -DIJT  and  ilieldrin  in  lake  Iroul  caught  in 
1970  in  Lake  Superior  correspond  closely  with  those 
reported  by  Reinliert  (7)  in   1966-67.    Residues  in  lake 


trout  reported  in  Ihe  present  study  did  not  agree  with 
those  cited  in  the  LIpper  Great  Lakes  Reference  Group 
report  (U).  However,  bloaters  contained  similar  residues 
in  two  studies. 

Measurable  levels  of  -DDT  were  reported  by  Gloos- 
chenko et  al.  in  29  percent  of  sediments  taken  from 
various  sites  in  the  Canadian  waters  of  Lake  Huron  and 
in  14  percent  of  sediments  taken  from  Cieorgian  Bay  (3); 
maximum  levels  in  both  Lake  Huron  and  Georgian  Bay 
were  0.02  ppm.  Dieldrin  was  present  at  trace  levels. 
and  PCBs  ranged  up  to  0.02  ppm.  i;DDT  and  dieldrin 
in  sediments  from  the  North  Channel  were  below  detec- 
tion levels,  but  traces  of  PCBs  were  found.  Organo- 
chlorincs  were  highest  in  seston  from  the  open  lake, 
ranging  from  0.8  to  S.  I  ppm  compared  to  0.7  to  6.7  ppm 
in  Georgian  Bay  and  a  high  level  of  1.0  ppm  in  the 
North  Channel. 

Residue  levels  of  -f^DT  and  dieldrin  in  lish  from  Lake 
Huron  and  Georgian  Bay  reported  in  this  paper  cor- 
respond closely  to  the  levels  reported  previously  by 
Reinhert  (7)  and  Reinke  et  al.  (9)  for  alewife,  bloaters, 
kokanee  lOiicorliyiiclnis  nvrl<a),  rainbow  smelt,  and  wall- 
eye, but  discrepancies  are  evideni  in  yellow  perch,  lake 
whitefish,  and  rainbow  trout.  -DDF  mean  residues  of 
2.44  ppm  are  reported  by  Reinhert  for  alewife  caught  in 
1966-67  (7J;  the  present  study  reveals  a  decline  to  1.63 
ppm  -DDI  mean  residues  in  1970  and  a  furlher  decline 
10  0.<S()  ppm  i:DDr  by  1976;  conversely,  dieklrin  levels 
were  slightly  higher  in  1976  (0.14  ppml  than  in  1966-67 
(O.O.S  ppm).  Levels  of  -DDT  in  rainbow  trout  show  little 
change  between  the  1966-67  study  and  those  detected  in 
1970  in  the  present  study,  0.7.5  and  O.S  ppm.  respec- 
tively. However,  a  marked  decline  lo  a  mean  residue  of 
0.15  ppm  by  1976  occurred  in  rainbow  trout  caught  in 
Lake  Huron.  A  mean  level  of  4.7  ppm  -DDT  in  bloat- 
ers caught  in  1970-71  in  Ihe  present  study  is  similar  to 
levels  of  3.6  ppm  and  3.08  ppm  reported  respectively  by 
Reinhert  (7)  in  1966  and  Reinke  et  al.  (9)  in  1970.  Mean 
levels  of  -DDT,  dieklrin,  and  PCBs  in  bloaters  in  the 
present  study  closely  parallel  those  reported  by  the  Upper 
Great  Lakes  Reterence  Group  (II)  for  1975-76. 

Reinke  et  al.  found  6.02  ppm  -DDT  in  walleye  caught 
in  1970  in  the  main  waters  of  Lake  Huron  (9);  this  is 
close  lo  Ihe  mean  level  of  5.05  ppm  reported  here. 
Reinke  el  al.  reported  0.47  ppm  -DDT  in  walleye  caught 
ill  1970  in  Georgian  Bay  (9),  but  Ihe  present  study  re- 
ports mean  levels  of  2.2  ppm  and  3.1  ppm,  respectively, 
for  1970  and  1971.  This  discrepancy  may  be  partly 
cxplainetl  by  the  fad  thai  ihe  walleye  in  the  present  study 
were  obtained  al  the  mouth  of  Ihe  Moon  River,  an  area 
where  high  DD  T  residues  were  reported  (2.  6). 

Residues  in  kokanee  from  l,ake  Huron  reported  here  are 
similar  to  those  reported  by  Reinke  el  al.  {9)  but  i:DDT 


Vol.  12,  No.  2,  Siiiti-mulr  197S 


67 


residues  of  0.52  ppm  in  yellow  perch  reported  in  the 
present  siitdy  are  considerably  lower  than  the  mean 
values  of  1.59  ppm  in  1966-67  and  1.46  ppm  in  1970 
reported  by  Rcinhert  {7)  and  Reinkc  et  ai.  {9),  respec- 
tively. Mean  -DDT  residues  in  lake  whitefish  in  the 
present  study  are  also  markedly  lower  than  those  re- 
ported previously  i7,  9). 

Although  there  are  differences  in  the  data  for  -DDT 
levels  in  coho  salmon  between  the  present  study  and 
earlier  reports,  there  is  more  similarity  among  coho 
salmon  from  the  same  location.  Reinkc  ct  al.  reported 
a  mean  of  1.26  ppm  -DDT  and  O.OX  ppm  dieldrin  for 
fish  caught  in  northern  Lake  Hiiron  {'->)\  the  present 
study  shows  mean  levels  of  0.98  ppm  iDDT  and  0.04 
ppm  dieldrin  for  41  coho  salmon  caught  in  the  same 
area.  -DDT  levels  in  rainbow  trout  caught  in  soLithern 
Georgian  Bay  vary  considerably  from  those  reported 
previously.  Reinkc  et  al.  reported  a  mean  of  8.7  ppm 
-DDT  in  rainbow  trout  caught  in  1970  [9),  but  only 
1.75  ppm  IDDT  was  found  in  the  same  species  caught 
in  the  same  location  in  1968  for  the  present  survey.  This 
discrepancy  may  be  due  to  local  dilTerences  in  -DDT 
use. 

Despite  the  number  of  variables  which  are  associated 
with  a  sampling  study  of  this  kind,  it  is  remarkable  that 
such  close  agreement  is  found  between  ditTcrent  studies 
in  different  time  frames  for  such  large  bodies  of  water 
as  Lakes  Superior  and  Huron.  Other  factors  that  cause 
fluctuations  in  contaminant  concentrations  in  fish  tissues 
are  spawning  times  and  changes  in  fat  content. 

Acknowledgment 

The  assistance  of  the  field  staff  of  the  Ontario  Ministry 
of  Natural  Resources  in  collecting  the  fish  for  this  study 
is  gratefully  acknowledged.  Particular  thanks  are  given 
to  J.  .S.  Ball,  J.  Collms,  VV.  R.  Hesson,  F.  Mantec,  J.  No- 
vak, R.  Payne,  and  L.  Thurston.  Technical  assistance 
was  provided  by  J.  Stanck  and  Y.  P.  Lo  in  preparation 
of  samples  for  analysis. 


LITER.-\TURE  CITED 

(1)  American  Fisheries  Society,  Committee  on  Names  of 
Fislies.    1970.    A  list  of  common  and  scientific  names 
of  fish  from  the  United  States  and  Canada  (3rd  ed.). 
Am.  Fish.  Soc.  Spec.  Publ.  6.  Washington.  D.C.  150  pp. 

(2)  Frank.  R..  A.  E.  Armstroni;,  R.  G.  Boelens.  II.  E. 
Braan.  and  C.  W.  Doii.vlas.  1974.  Oiganochlorine  in- 
secticide residues  in  sediment  and  fish  tissue,  Ontario, 
Canada.  Pestic.  Monit.  J.  7(3/4) :  165-180. 

(3)  Clooschenko.  W.  A.,  W .  M.  J.  Slruchan,  and  R.  C.  J. 
Sampson.  1976.  Distribution  of  pesticides  and  poly- 
chlorinated  biphcnyls  in  water,  sediments,  and  seston 
of  the  Upper  Great  Lakes — 1974.  Pestic.  .Monit.  J. 
I0(2):61-67. 

(4)  Holdrinet,  M.  1974.  Determination  and  confirmation 
of  he.xachlorobenzene  in  fatty  samples  in  the  pres- 
ence of  other  halogenated  hydrocarbon  pesticides  and 
PCBs.  J.  Assoc.  Off.  Anal.  Chem.   57(3  )  :580-584. 

(5i  Lan.vlois,  E.  B.,  A.  P.  Stcmp,  and  B.  J.  Liska.  1964. 
Analysis  of  animal  food  products  for  chlorinated  in- 
secticides.   J.   Milk   Food   Technol.    27(7  )  :202-204. 

(6}  Miles.  ].  R.  W.,  and  C.  R.  Harris.  1973.  Organochlo- 
rine  insecticide  residues  in  streams  draining  agricul- 
tural, urban-agricultural,  and  resort  areas  of  Ontario, 
Canada— 1971.    Pestic.  Monit.  J.  6(4) : 363-368. 

{7)  Rcinlicrt.  R.  E.  1970.    Pesticide  concentrations  in  Great 
Lakes  Fish.  Pestic.  Monil.  J.  3(4)  :233-240. 

(8)  Reinhert,  R.  £.,  and  H.  L.  Bergman.  1974.  Residues 
of  DDT  in  lake  trout  (Salveliniis  namaycush)  and  coho 
salmon  (Oneorliynchus  kisatch)  from  the  Great  Lakes. 
J.  Fish.  Res.  Board  Can.  31  (2  ):  191-199. 

(9)  Reinkc.  J..  J.  F.  Vthe.  and  D.  Jamieson.  1972.  Or- 
ganochlorine  pesticide  residues  in  commercially  caught 
fish  in  Canada— 1970.  Pestic.  Monit.  J.  6(l):43-49. 

[10)  Reynolds,  L.  M.  1971.  Pesticides  residue  analysis  in 
the  presence  of  polychlorinatcd  biphenyls  (PCB's). 
Residue  Rev.  34:27-57. 

(11)  Upper  Great  Lakes  Reference  Croup.  1976.  The 
waters  of  Lake  Huron  and  Lake  Superior,  Vol.  1. 
Summary  and  recommendations.  International  Joint 
Commission,  Windsor,  Onliuio.   pp.  115-125. 


68 


Pesticides  Monmoring  Journal 


Residues  of  Organochlorine  Insecticides  and  PoJychlorinated  Biphenyls  in 
Fish  from  Lakes  Saint  Clair  and  Erie,  Canada — 1968-76  ' 

Richard  Frank,'  Heinz  E.  Braun,-  Micheline  Holdrinet,^ 
Douglas  P.  Dodge,'  and  Stephen  J.  Nepszy ' 


ABSTRACT 

Eighteen  species  of  fish  from  Luke  SainI  Ckiir  unci  19  species 
from  Lake  Erie  were  unalyzed  for  organochlorine  pesticides 
and  polychlorinuted  biphenyls  (PCBs)  between  196S  and 
1976.  Mean  residues  of  ':^DDT  peaked  at  L19  ppm  in 
longnose  gar  (Lepisosteus  osseus)  caught  in  Lake  Saint 
Cluir  in  1970-71 ,  but  had  declined  in  all  species  by  1975-76. 
Dieldrin  levels  in  fish  tissues  increased  over  the  same  period. 
White  bass  (Morone  chrysops).  caught  in  1975  in  Lake  Eric, 
had  the  highest  mean  residue  of  dieldrin  at  0.17  ppm.  PCB 
residues  increased  in  some  species  and  decreased  in  others. 
PCB  residues  exceeding  the  tolerance  level  of  Health  and 
Welfare  Canada  were  found  in  the  following:  from  Lake 
Saint  Clair,  smallniouth  bass  (Micropterus  dolomieui)  in 
1975  and  channel  catfish  (Ictakiriis  piinctatus)  in  1971 :  from 
Luke  Erie,  coho  salmon  (Oncorhynchus  kisutch)  /;;  1970, 
smallmouth  bass,  ulewife  (Alosa  pseiidoharengus),  fresh- 
water drum  (Aplodinotus  griinniens),  and  gizzard  shad 
(Dorosoma  cepedianiini )  in  1971.  and  wliite  bass  in  1971 
and  1976. 

Sediments  in  Lake  Erie  were  five  to  ten  times  more  highly 
contaminated  with  '^DDT,  dieldrin,  and  PCBs  than  were 
sediments  from  Lake  Saint  Clair.  IDDT  and  dieldrin  residues 
in  fish  tissues  did  not  necessarily  reflect  this  trend,  hut  PCBs 
were  higher  in  fish  from  Lake  Erie. 

Introduction 

DDT,  dieldrin,  and  PCBs  have  been  identified  in  fish 
from  Lake  Erie  and  Lake  Saint  Clair.  Reinert  reported 
residues  of  -DDT  in  14  species  caught  in  1967-68  that 
ranged  from  0.25  ppm  in  spottail  shiner  {Notropis 
hitdsoniiis)  to  1.89  ppm  in  white  bass  (Morone  chry- 
sops) (11).  Dieldrin  was  not  detected  in  nine  species: 
ma.ximum  dieldrin  levels  found  in  alewife  (Alosa  psciido- 


^  Partial  funding  for  1975-76  sampling  and  analysis  provided  by  the 
International  Joint  Commission  under  Task  Force  D  of  the  Pollution 
f I  om  Land  Use  Activities  Group. 

-Provincial  Pesticide  Residue  Testing  Laboratory,  Ontario  Ministry  of 
Agriculture  and  Food,  c/o  University  of  Guelph,  Guelph.  Ontario 
NIG  2W1. 

■'Fisheries  Branch,  Ontario  Ministry  of  Natuial  Resources,  Queen's 
Park,  Toronto,  Ontario. 

^Fisheries  Research  Station,  Ontario  Ministry  of  Natural  Resources, 
Wheatley,  Ontario. 


harengiis)  were  0.15  ppm.  Reinke  et  al.  found  similar 
residues  in  six  species  caught  in  1970  (13).  The  highest 
residues  of  i;DDT  were  0.56  ppm  in  alewife.  Carr  et  al. 
reported  on  si.x  species  caught  in  1970-71  (2).  Coho 
salmon  {Oncorhynchus  kisutch)  contained  the  highest 
mean  residues  of  -DDT  and  dieldrin,  0.90  ppm  and 
0.07  ppm,  respectively:  channel  catfish  (Ictalurus  piinc- 
tatus) had  the  highest  mean  PCB  residues:  4.4  ppm. 
Kelso  and  Frank  found  that  -DDT  and  dieldrin  residues 
varied  with  time  of  catch  in  three  species  from  the 
eastern  basin  of  Lake  Erie  (7).  Residues  were  generally 
low;  higher  residue  levels  were  associated  with  fish  hav- 
ing a  higher  fat  content. 

Watersheds  on  the  Canadian  side  of  Lakes  Erie  and 
Saint  Clair  drain  the  most  intensive  agricultural  belt  in 
Ontario  (Figure  1).  Before  restrictions  on  the  use  of 
aldrin,  dieldrin,  and  heptachlor  in  1969  and  2DDT  in 
1970-71,  this  area  accounted  for  90  percent  of  organo- 
chlorine insecticides  used  in  Ontario.  Miles  and  Harris 
(9,  10)  and  Frank  et  al.  (3,  4)  reported  that  DDT  and 
dieldrin  were  deposited  in  Lake  Erie  by  creeks  draining 
areas  of  intensive  pesticide  use.  Frank  et  al.  found  that 
fish  caught  in  the  streams  and  creeks  had  residues  of 
-DDT  and  dieldrin  that  were  one  order  of  magnitude 
higher  than  those  caught  in  the  adjoining  waters  of  Lake 
Erie  (4). 

The  present  study  was  initiated  in  1968  to  determine 
organochlorine  residues  in  fish  before  legislative  restric- 
tion of  the  use  of  these  materials.  After  use  of  the 
materials  was  restricted,  monitoring  of  fish  tissue  was 
continued  to  determine  the  impact  of  these  actions.  At 
the  same  time,  PCBs  were  identified  in  fish  in  both 
lakes,  and  monitoring  for  these  contaminants  was  in- 
cluded to  determine  whether  the  voluntary  restrictions 
on  their  use  since  1971  were  reflected  in  residue  levels  in 
fish  tissue. 

Methods  and  Materials 

Twenty-eight  species  of  fish  were  caught  by  gill  net  or 
trap  net  between  1968  and  1976  in  Lakes  Saint  Clair  and 
Erie    (Table    1).    Most  were  obtained   from   the   field 


Vol.  12,  No.  2,  September  1978 


69 


LAKE  ST  CLAIR 

®  MrrCMtlL     BAY 

<Z>  B&SSETT   CHAr#€L 

^  nCIOLAY    CRCCK 
O 


WESTERN  BASIN 
CENTRAL   BASIN 

©    EASTERN   BASIN 

®    KINGSVILLE 

©    WHEATLEY 

©    ERIEAU 

PORT  STANLEY 

@    PORT  BURWELL 

®  PORT  MAiTLAND 
LONG  POINT  BAY 
FElCe    ISLAND 


t 


HCjURF    I.    A/(//'  <'f   /.(/^(■\   Eric  <iiul  Saint  Clair  slunviiii;  fisli  loUcctinn  areas. 


stall'  ot  the  Ontario  Ministry  of  Natural  Resources. 
Some  ot  the  larger  fish  were  obtained  from  commercial 
gill  net  catches.  Eighteen  species  (278  fish)  were  caught 
in  Lake  Saint  Clair  in  or  around  Mitchell  Bay,  Tremblay 
Creek,  and  Bassett  Channel  (Figure  1  ).  Nineteen  species 
(1.023  fish)  were  caught  in  Canadian  waters  of  Lake 
Erie.  These  came  from  onshore  and  otTshore  locations 
in  all  three  basins,  as  defined  by  Thomas  et  al.  (16). 
Eleven  species  (429  fish)  from  the  western  basin  were 
caught  ofT  Kinsville  and  west  of  Pelee  Island.  Nine 
species  (287  fish)  were  caught  in  the  central  basin  oil' 
Whcatlcy,  Erieau,  Port  Stanley,  and  Port  Burwell.  Fif- 
teen species  (307  fish)  from  the  eastern  basin  were 
netted  in  Long  Point  Bay  and  olV  Port  Maitland 
(Figure  1). 

Fish  species  were  identified  and  named  according  to 
the  nomenclature  of  the  American  Fisheries  Society  (/). 

A  nalytical  Procedure 

Fish  were  eviscerated,  their  heads  were  removed,  and 
the  remaining  flesh  was  minced  in  a  Hobart  food 
chopper  to  a  homogeneous  consistency  from  which  a 
representative  subsample  was  selected.  Tissue  homo- 
gcnates  were  stored  at    —  20  C   until  analysis;  storage 


TABLE    1.     .Analyses  of  fish  caught  in  Lakes  Saint  Clair 
ami  Erie,  I96S-76 


Lake  Sa[ni 

Clair 

Lake  Erie 

Fish 

Fish 

Analyses 

Fish 

Fish 

Analyses 

Year 

SPHCItS 

Caught 

Performed 

Species 

Caught 

Performed 

1968 

6 

25 

25 

14 

115 

106 

1970 

6 

45 

45 

11 

11 

1971 

\5 

183 

18.1 

11 

1.17 

119 

1972 

0 

0 

11 

78 

78 

1973 

0 

0 

(1 

10 

1 

1974 

0 

0 

0 

5 

5 

1975 

1 

6 

6 

11 

636 

181 

1976 

T 

19 

19 

31 

31 

TOTAL 

18 

278 

278 

19 

1023 

532 

NOTE:   Purees  of  cvisccraied.  headless  samples  were  analyzed. 

time  rarely  exceeded  4  months.  Ten  grams  of  tissue 
homogenate  was  ground  with  100  g  anhydrous  sodium 
sulfate  and  25  g  Ottawa  sand.  This  mixture  was  ex- 
tracted in  hexane  for  7  hours  in  a  Soxhiet  extractor. 
The  solvent  was  removed  by  rotary  vacuum,  and  the 
percentage  of  fat  or  oil  was  determined  gravimetrically. 

A  one-step  Morisil  column  cleanup  method  described  b> 
I.anglois  ct  al.  was  used  to  isolate  organochlorines  and 
PCBs  (cS).  Florisil  (60-100  mesh),  activated  commer- 
cially at  650  C,  was  reheated  at   135-C  for  at  least  24 


70 


Pesticides  Monitoring  Journal 


hours;  after  the  adsorbent  cooled,  it  was  equihbrated 
with  5  weight  percent  water.  A  maximum  of  1  g  fat 
from  the  fish  extracts  was  thoroughly  mixed  with  25  g 
of  conditioned  Florisil;  this  was  placed  on  top  of  a 
second  25-g  portion  of  conditioned  Florisil  in  a  25-mm 
ID  cleanLip  column.  The  column  was  eluted  with  300  ml 
1:4  (v/v)  mixture  of  dichloromethane-hexane.  The 
eluate  was  evaporated  to  dryness  with  rotary  vacuum, 
and  the  residue  was  dissolved  in  5  ml  acetone. 

PCBs  were  separated  from  organochlorine  insecticides 
and  HCB  on  a  charcoal  column  as  described  by  Holdri- 
net  (6).  Charcoal  (Fisher  No.  5-690,  50-200  mesh) 
was  washed  with  acetone,  filtered  by  suction,  dried,  and 
stored  at  135'C.  Columns  (9-mm  ID)  were  prepared  by 
sandwiching  a  7.5-cm  layer  of  charcoal  between  1.3-cm 
layers  of  sand  and  prcwashing  with  a  1 :3  (v/v)  mixture 
of  acetone-diethyl  ether,  The  acetone  solution  from  the 
Florisil  cleanup  was  quantitatively  transferred  to  the 
charcoal  column  and  eluted  successively  with  180  mi  of 
1:3  (v/v)  mi.xture  of  acetone-diethyl  ether  and  80  ml 
benzene;  the  organochlorine  insecticides  were  contained 
in  the  first  eluate,  and  PCBs  were  in  the  second  eluate. 
Eluates  were  concentrated  to  dryness  by  rotary  vacuum 
and  dissolved  in  measured  amoLints  of  hexane. 

Extracts  were  analyzed  on  a  Tracor  Model  550  gas 
chromatograph  with  the  following  instrument  parameters 
and  operating  conditions: 

Detector:  '■■'Ni  election-capture 

Column:  glass.    15    cm    x    0.64    cm    OD   packed    with    a 

mixure  of  4  percent  SE-.TO  and  6  percent  QF-1 
on   80-l()ll-mesh    Cliromosorb   W 

Temperature:  180"C 

Carrier  gas:  nitrogen  flowing  at  60  ml/minute 

Injection  volume:  5  /j  1  equivalent  to  1   ng  fat 

Residue  identity  was  confirmed  on  random  samples  by 
thin-layer  chromatography  (TLC);  appropriate  areas 
of  the  chromatogram  were  removed,  redissolved,  and 
re-examined  by  gas-liquid  chromatography  (GLC).  This 
confirmation  was  essential  for  the  positive  identification 
of  <r/.v-  and  //YHi.y-chlordane  which,  when  analyzed  by 
GLC  alone,  are  subject  to  misidentification  because  of 
co-extractive  interferences. 

Recoveries  of  pesticides  and  PCBs  were  checked  peri- 
odically by  fortification  of  fish  tissue  homogenate  before 
the  Soxhiet  extraction.  Average  recoveries  were  as 
follows:  p.p'-DDT.  89  percent;  p.p'-DDE,  96  percent; 
p.p'-JDE.  94  percent;  o./>'-DDT,  91    percent;  dieldrin, 

89  percent;  r/.s-chlordane,  92  percent;  fra/;.s-chlordane, 

90  percent;  and  PCBs,  85-90  percent.  The  data  do  not 
include  corrections  for  recovery.  Quantitation  limits, 
below  which  values  were  designated  as  either  trace  or 
not  detected,  were  set  at  0.005  ppm  in  fat  for  all  or- 
ganochlorine insecticides  and  0.05  ppm  in  fat  for  PCBs. 

PCB  estimations  were  based  on  comparison  with 
Vol.  12,  No.  2,  September  1978 


standard  mixtures  of  Aioclors  1254  and  1260  and  were 
quantitated  by  comptirison  of  the  sum  of  peak  heights 
of  peaks  VII,  VIII,  and  X  according  to  the  Reynolds 
ntmibering  system  (14).  The  ratio  of  Aroclor  1254  to 
Aroclor  1260  in  ihe  standard  mixttire  varied  from 
5:1  to  4:1. 

Analysis  began  in  1968  when  the  known  main  con- 
taminants in  fish  were  p,p'-DDJ  and  its  analogs  and 
dieldrin  and  heptachlor  epoxide;  PCB  values  before  1970 
were  estimated.  With  the  introduction  of  a  column  frac- 
tionation technique  in  1970  for  the  separation  of  PCBs 
from  organochlorine  insecticides,  the  measurement  of 
PCB  residues  became  more  precise.  Analysis  for  hexa- 
chlorobenzene  (HCB)  was  included  in  the  procedure 
in  1973  but  was  subsequently  discontinued  because  of 
the  low  levels  and  incidence  of  HCB  found  in  the 
samples.  Analysis  and  confirmation  for  cis-  and  Irans- 
chlordanc  was  refined  in  1975,  and  the  analyses  for 
mire\  and  oyychlordane  were  introduced  in   1976. 

Results 

LAKE  SAINT  CLAIR 

^DDT — None  of  the  18  species  caught  in  Lake  .Saint 
Clair  contained  metin  residues  of  iJDDT  that  exceeded 
the  5  ppm  action  level  established  by  both  the  Canadian 
and  United  .States  governments.  Longnose  gar  (Lepisos- 
tciis  osseiis)  caught  in  1971  had  the  highest  mean 
residue  of  1.19  ppm  ;tnd  was  the  only  species  with  a 
mean  residfie  above  1.0  ppm  (Table  2).  Eight  of  12 
longnose  gar  caught  otT  Tremblay  Creek  contained 
-DDT  residues  of  1.10-2.35  ppm.  Individual  fish  from 
three  other  species  contained  residues  that  exceeded 
1.0  ppm.  In  1971,  two  of  eight  carp  (Cyprinus  caipio) 
from  Mitchell  Bay  contained  1,19  ppm  and  1,26  ppm 
-DDT,  Four  of  12  mooneye  (Hiodoii  tergisits)  caught 
in  1970  off  Tremblay  Creek  had  1,12-2.38  ppm  2DDT. 

Three  of  six  smallmotith  bass  (Micropicrus  dolomieui) 
caught  in  1975  had  :;:DDT  residues  of  1.02-1,15  ppm. 

Eight  of  the  18  species  from  Lake  Saint  Clair  were 
caught  in  1968-71.  In  seven  of  the  species,  residues 
of  i:DDT  showed  a  decline  by  1971  (Tables  2,  3).  Only 
quillback  {Carpiodes  cyprinus)  showed  no  apparent 
change.  In  all  years,  however,  residues  of  -DDT  were 
below  0,5  ppm, 

Smallmouth  bass,  freshwater  drum  (A plodinotiis  griin- 
n'wns),  and  walleye  {Stizostedion  vitrcum  vitreitin)  were 
the  only  three  species  caught  in  1968-71  and  again  in 
1975-76,  In  smallmouth  bass,  mean  -DDT  residues 
were  higher  in  1976  (0,76  ppm)  than  in  1968  (0,42 
ppm);  however,  the  mean  weight  of  fish  was  853  g  as 
opposed  to  453  g  (Table  2).  When  residues  of  similar 
weight  classes  were  compared,  the  residue  declined 
slightly  between  the  two  periods   (Table  3).    A  mean 

71 


TABLE  2.     OifHiiioililuiiiif  nxitliies  in  Iti  jisli  ipccUw  caiis^hl  in  Canadian  waters  of  Lake  Saint  Clair,  I96S-76 


Mean  and 

Range 

Puree,  ppm- 

■\'i:ar 

No.  oi 

ANALYSE! 

Weiuhi. 

1             G 

Fat, 

% 

Mean  CONIENI    AND 

RanCiF  of  CONlAMlNAN  is  in  nan 

Species 

DDE 

TDE 

DDT 

:;ddt 

DlELDRIN 

PCBs 

.-1  iniiiluc 

Bow  I'm 

1971 

10 

I.K.7 

955-2050 

0.2 
0.1-0.4 

<0.01 
<0.01-0.0I 

<0.0I 

<0.01 

0.01 
<0.01-0.02 

<0.01 

<0.1 

CaliistoniUlae 

Quillbuck 

197(1 

6 

1.119 

4.2 

0.03 

0.03 

0.02 

0.08 

0.01 

0.3 

.300-1775 

1.6-7.6 

0.01-0.04 

0.01-0.06 

0.01-0.03 

0.03-0.13 

<0.01   0.02 

0.2-0.4 

1971 

9 

1244 

2.1 

0.03 

0.03 

0.02 

0.08 

<0.01 

0.2 

350-1935 

1.1-4.5 

<0.01-0.07 

<0.0I    0.08 

<0.01-0.06 

0.02-0.17 

<0.1-0.3 

Rcdhorsc 

1970 

8 

928 

2.6 

0.07 

0.03 

0.03 

0.13 

0.01 

0.7 

695    1235 

0.3-5.8 

<0.0 1-0.25 

<0.01-0.11 

<0.0I-0.13 

<0.01-0.49 

<0.0l-0.04 

<0. 1-2.6 

1971 

8 

698 

0.7 

0.01 

0.01 

<o.oi 

0.03 

<0.0I 

0.2 

375-985 

0.3-1.3 

<O.OI-0.03 

<0.0 1-0.02 

<0.0 1-0.02 

0.01-0.07 

<0.1-0.4 

White 

196S 

t 

547 

2.8 

0.07 

0.04 

0.08 

0.19 

<0.01 

0.1 

sucker 

306-787 

2.2-3.4 

0.01-0.12 

0.01-0.07 

0.02-0.14 

0.04-0.33 

<0. 1-0.2 

1970 

10 

1298 

1.3 

0.01 

0.02 

0.01 

0.04 

<0.01 

0.3 

1(135-2050 

0.7-2.5 

<0.0 1-0.03 

<0.OI    0.04 

<0 .01-0.03 

<0.0 1-0.06 

0.2-0.4 

C'i'ntrarchiJae 

1  argemoiiih 

197U 

6 

564 

3.5 

0.22 

0.09 

0.11) 

0.41 

0.03 

1.3 

bass 

315-685 

1.8-7.2 

0.12-0.40 

0.04   0.22 

0,03-0.26 

0.19-0.88 

<0.0 1-0.08 

0.3-4.3 

1971 

5 

632 

2.6 

0.18 

0.07 

0.06 

0.3  1 

0.02 

0.8 

250-11(10 

1.4-4.2 

0.14-0.21 

0.03-0.13 

0.02-0.11 

0.19-0.45 

<0.01-0.04 

0.6-1.2 

Rock  bass 

1971 

11) 

230 

0.4 

<0.01 

<0.0I 

<0.01 

0.01 

<0.01 

0.1 

145-335 

0.1-0.7 

<0.0 1-0.02 

<0.01-0.02 

<0.0 1-0.04 

<0. 1-0.3 

Smallnioiith 

1968 

5 

453 

2.9 

0.20 

0.11 

(1.21 

0.52 

<0.01 

0.3 

bass 

283-748 

2.0-3.4 

0.13-0.31 

0.08-0.18 

0.14-0.32 

0.38-0.69 

0.2-0.6 

1975 

6 

853 

2.5 

0.60 

0.11 

0.05 

0.76 

0.09 

2.1 

264-1491 

1.1-3.6 

0.09-0.92 

0.02-0.16 

0.02-0.09 

0.13-1.15 

0.03-0.14 

0.4-3.1 

BUicgill 

1971 

25 

172 

85-250 

0.4 
(1.1-1.8 

<0.01 
<0.01-0.02 

<0.01 

<0.01 

0.01 
<0.0 1-0.04 

<0.01 

<0.1 
<0. 1-0.2 

Black  crappic 

1968 

6 

174 

2.3 

0.08 

0.05 

0.10 

0.23 

<0.0I 

0.2 

116-212 

0.4-6.2 

0.03-0.17 

0.01-0.12 

0.04-0.71 

0.11-0.60 

<0. 1-0.5 

1971 

13 

199 
35-455 

0.3 
(1.2-0.6 

<0.01 
<0.01-0.0l 

<0.01 

<0.01 

0.01 
<0.01-0.02 

<0.01 

<0.1 

<0. 1-0.2 

Ptinipkinsccd 

196S 

5 

118 

2.8 

0.03 

0.03 

0.05 

0.11 

0.01 

0.1 

97-137 

2.3-3.7 

0.02-O.03 

0.02    0.04 

0.04-0.06 

0.08-0.13 

<0.01-0.02 

<0.1-0.2 

1971 

22 

104 

0.4 

0.02 

0.01 

0.01 

0.04 

<0.01 

<0.1 

40-265 

0.1-0.8 

0.01-0.02 

0.01-0.01 

0.01-0.02 

0.03   0.05 

<0.01-0.01 

<0. 1-0.1 

Cyprinidtw 

C  arp 

1971 

8 

3676 

10.1 

0.30 

0.19 

0.04 

0.53 

0.04 

0.7 

1410-9710 

3.1-22.0 

0.04-0.84 

0.05-0.53 

<0. 01-0. 10 

0.09-1.26 

<0 .01 -0.1 3 

0.3-1.5 

Hioilantidac 

Mooncve 

1970 

12 

306 

10.7 

0.72 

0.09 

0.12 

0.93 

0.03 

1.9 

100-485 

6.8-14.9 

0.31-1.20 

0.05-0.29 

0.01-0.89 

0.10-2.38 

0.01-0.13 

0.7-7.2 

IctiilurUlac 

Brown 

1971 

12 

427 

0.5 

<0.01 

<0.01 

<0.01 

0.01 

<0.01 

0.1 

bullhead 

240-580 

0,1-1.4 

<0.()l-0.02 

<0.0 1-0.03 

<0.1-0.3 

Channel 

1971 

6 

2016 

5.2 

0.36 

0.10 

0.08 

0.54 

0.02 

2.3 

cattish 

465-5275 

2.6-10.2 

0.14-0.75 

0.03-0.14 

<0.01-0.17 

0.22-0.89 

<0.01-0.04 

0.9-3.9 

I.cpisustcidae 

l.ongnose  gar 

1971 

12 

723 

3.7 

0.79 

0.27 

0.13 

1.19 

0.02 

1.5 

320-1310 

0.7-9.1 

0.28-1.82 

0.12-0.46 

<0.01-0.2I 

0.48-2.35 

<0.01-0.03 

0.5-4.0 

Percidtte 

Yellow  perch 

1968 

3 

201 

1.1 

0.08 

0.05 

0.10 

0.23 

<0.01 

<0.1 

135-2.16 

0.5-1.4 

0.04-0.16 

0.02-0.10 

0.04-0.23 

0.10-0.49 

1970 

i 

108 

0.4 

0.02 

<0.01 

<0.01 

0.03 

<0.01 

0.1 

80-155 

0.1-0.7 

<0.01-0.2 

<0.01-0.0I 

<0.0 1-0.05 

<0. 1-0.2 

1971 

11 

59 

0.3 

0.01 

<0.01 

<0.01 

0.02 

<0.01 

0.1 

35-75 

0.1-0.5 

<0.0 1-0.02 

<0.01-0.01 

<0.01-0.03 

<0.1-0.2 

Walleye 

1968 

4 

410 

1.1 

0.08 

0.04 

0.08 

0.20 

<0.01 

<0.1 

250-539 

0.8-1.3 

0.02    0.14 

0.01-0.06 

0.02-0.14 

0.05-0.34 

1971 

20 

401 

2  2 

0.05 

0.05 

0.01 

0.11 

0.02 

0.4 

120-1990 

0.1-5.1 

<0.01-O.I7 

<0.01-0.25 

<0.0 1-0.04 

<0.01-0.42 

<0.01-0.15 

<0. 1-2.0 

1976 

9 

1726 

0.8 

0.06 

0.01 

0.01 

0.08 

0.01 

0.2 

203-33 1 1 

0.3-2.5 

<0.OI   0.21 

ND-0.05 

ND-0.04 

<0.0 1-0.28 

ND-0.01 

<0. 1-0.8 

SciaeniJae 

Freshwater 

1971 

12 

519 

1.6 

0.01 

<0.01 

0.01 

0.03 

<0.01 

0.2 

drum 

225-1130 

0.3-6.1 

<0.0 1-0.04 

<O.OI-0.02 

<0.01-0.05 

<0.01-0.09 

<0. 1-0.6 

1976 

10 

259 

1.7 

0.02 

<0.01 

<0.01 

0.03 

<0.01 

0.2 

86-521 

0.6-4.4 

<0.01-0.04 

<0.0 1-0.02 

ND-0.01 

0.01-0.05 

<0.1-0.3 

NOTE:  ND  =  nonc  detected. 

'Number  of  analyses  represents  number  of  individual  fish  (278). 

=  Eviscerated  fish  with  heads  and  tails  removed. 


residue  of  0.0.^  ppm  IDDT  was  piescni  in  licshw;itcr 
drum  caught  in  1971  and  1976,  and  little  change  oc- 
curred among  dilTercnt   weight   classes    (Tables  2,   3). 


Walleye  caught  in  ihrce  separate  years  had  steadily 
declining  -DDT  residues:  0.20  ppm  in  l')6S,  0.1  I  ppm 
in    1971,  and  0.08   ppm   in    1976.     By  weight   class,   a 


72 


Pesticides  Monitoring  Journal 


TABLE  3.     Comparison  of  vcshlues  by  weight  class  oj  six  fish  species  euiiaht  in  Lakes  Saint  Clair  and  Erie,  1968-76 


WllGHl 

NUMUI  R  OF 

Mean 

Mean 

Content  of  Resi 
Tissue,  pi-m 

DUES  IN 

Weight, 

Fat, 

Species 

Lake' 

Year 

Class,  kg 

Analyses - 

G 

% 

i:DDT 

DiELDRIN 

PCBs 

Smollmoiith  bass 

Saint  Clair 

1968 

0.25-U.50 

4 

378 

2,8 

0,48 

0,006 

0.38 

0.50-U.75 

1 

748 

3.3 

0,67 

ND 

0.26 

1975 

0.25-0.50 

1 

264 

2.5 

0,13 

0.0.30 

0.40 

0.50-0.75 

1 

698 

1,1 

0,28 

0.030 

0.90 

0.75-1.00 

2 

826 

3.5 

0.93 

0.125 

2.60 

I.UO  + 

2 

1252 

2,1 

1.13 

0.120 

3.0(1 

Erie 

1968 

0-0.25 

9 

206 

1.6 

0,52 

0.004 

0.28 

(E) 

0.25-0.50 

7 

374 

2.0 

1,24 

0.009 

0.41 

1971 

1.25-1.50 

T 

1449 

7.5 

1,20 

0.002 

5.80 

1972 

0-0.25 

8 

89 

2  2 

0,12 

0.006 

0.35 

0.25-0.50 

8 

412 

3,5 

0,25 

0.019 

0.86 

0.50-0.75 

T 

624 

4,0 

0,33 

0.025 

1.00 

1975 

0.25-0.50 

1 

480 

3,8 

0,12 

0.050 

0.4(1 

0.50-0.75 

1 

707 

3,5 

0,09 

0,20 

0,30 

0.75-1.0(1 

,1 

83H 

3,9 

0,15 

0,027 

0.30 

1.00  + 

1 

1226 

5,4 

0,30 

0.020 

0.40 

White  bass 

Erie 

1968 

0-0.25 

7 

127 

2.7 

0,32 

0.010 

0.06 

(E,W) 

0.25-0.50 

1 

295 

2.1 

1,51 

0.007 

0,31 

(E.C.W) 

1971 

0-0.25 

29 

156 

5.3 

0.11 

ND 

1,44 

0.25-0.50 

T 

388 

8.0 

0.15 

ND 

3,10 

(E) 

1972 

0-0.25 

27 

124 

3.2 

0.15 

0.014 

0,65 

0.25-0.50 

2 

361 

7.2 

0.55 

0.025 

3,30 

0.75-1.00 

1 

755 

9.0 

0.71 

0.020 

4,7(1 

(C,W) 

1975 

0-0.25 

3 

77 

7.5 

0.16 

0,153 

0.70 

0.25-0.50 

1 

319 

8.6 

0.42 

0.160 

2.40 

0.50-0.75 

1 

607 

7.3 

0,56 

0,190 

3.20 

(E) 

1976 

0-0.25 

6 

93 

3.5 

0.05 

(1.005 

0.12 

0.25-0.50 

1 

274 

3.8 

0,06 

0.006 

0,10 

Treshwater  drum 

Saint  Clair 

1971 

0-0.25 

2 

235 

1.0 

0,01 

0.004 

0.09 

0.25-0.50 

5 

405 

2,0 

0,03 

0.005 

0,22 

0.50-0.75 

3 

560 

1,1 

0,02 

0.002 

0,13 

1.00-1.25 

T 

1023 

1,9 

0,05 

0,004 

0,21 

1976 

0-0.25 

4 

I3,S 

0.8 

0.03 

0,004 

0.17 

0.25-0.50 

5 

303 

2.3 

0.03 

0,004 

0,17 

0.50-0.75 

1 

521 

1.0 

0.04 

ND 

0,18 

Erie 

1968 

0-0.25 

8 

12(1 

2.6 

0.23 

0.005 

0.05 

(W) 

0.25-0.50 

3 

344 

2.8 

0,27 

0.008 

0.05 

(E,C,W) 

1971 

0-0.25 

18(14) 

144 

5.9 

0,03 

ND 

1.75 

0.25-0.50 

7 

387 

9.0 

0,12 

ND 

2.17 

0.50-0.75 

3 

570 

6.3 

0,23 

ND 

3.87 

(E.C.W) 

1975 

0-0.25 

9(16) 

85 

3.1 

0,03 

0.017 

0,28 

0.25-0.50 

13 

387 

4.7 

0,10 

0,038 

0,85 

0,50-0.75 

10 

606 

4.9 

0,17 

0.036 

0.57 

0,75-1.00 

2 

832 

3.7 

0,10 

0.015 

0.25 

Yellow  perch 

Saint  Clair 

1968 

0-0.25 

3 

201 

1.1 

0.24 

0.003 

0.09 

1970 

0-0.25 

3 

108 

0.4 

0.28 

0,003 

0,12 

1971 

0-0.25 

11 

59 

0.3 

0.02 

0,003 

0,11 

Erie 

(C,W) 

1968 

0-0.25 

23 

123 

1.0 

0.11 

0,006 

0.06 

(E,C,W) 

1971 

0-0.25 

29 

112 

2.1 

0.04 

ND 

0.64 

(E) 

1972 

0-0.25 

29 

87 

2.6 

0.08 

0,011 

0.25 

0.25   0.50 

1 

449 

4.4 

0.07 

0,010 

0,23 

(E,C,W) 

1975 

0-0.25 

42(111) 

6^ 

1.9 

0.06 

0,023 

0,38 

0.25-0.50 

-) 

384 

3.4 

0,11 

0.035 

0,45 

0.50-0.75 

-t 

594 

2.9 

0,06 

0,035 

0.30 

(E) 

1976 

0-0.25 

15 

112 

1.6 

0.04 

0.012 

0.20 

Coho  salmon 

Erie 

(C) 

1968 

0-1,0 

2 

471 

5.4 

0.51 

0.029 

0.33 

1970 

1.0-2.0 

2 

1795 

12.6 

4.53 

0.100 

5,80 

2.0-3.0 

9 

2263 

11,6 

2.40 

0.080 

2,10 

(C) 

1971 

0-1.0 

3 

806 

11,5 

1.76 

0,010 

1,70 

(C,W) 

1975 

0-1.0 

1 

932 

0.1 

0.12 

0,020 

0,70 

1.0-2.0 

6 

1823 

1.1 

0,15 

0.035 

0,90 

2.0-3.0 

10 

2501 

0,9 

0.11 

0.035 

0,63 

3.0-4.0 

8 

3369 

1,3 

0,20 

0,050 

1.06 

5,0-6.0 

1 

5300 

2.5 

0,76 

0,070 

2.70 

1976 

0-1,0 

1 

515 

1.7 

0.09 

0.014 

0,26 

1,0-2.0 

1 

1625 

2.7 

0,09 

0.012 

0,52 

2.0-3,0 

3 

2641 

1.9 

0.11 

0.011 

0,28 

3.0-4.0 

1 

3125 

1.4 

0.04 

0,004 

0,11 

Walleye 

Saint  Clair 

1968 

0-0.5 

3 

366 

1.1 

0.14 

0.004 

0,07 

0.5-1.0 

1 

539 

1.2 

0,34 

0.004 

0,12 

1971 

0-0.5 

15 

225 

2.6 

0.13 

0.026 

0,50 

0.5-1,0 

4 

660 

0,7 

0.02 

0,001 

0,13 

1,5-2.0 

1 

1990 

1,2 

0.06 

0,003 

0,17 

1976 

0-0,5 

1 

203 

2,5 

0.18 

0.011 

0.75 

0,5-1,0 

-) 

678 

0,8 

0.04 

ND 

0,11 

1,5-2,0 

3 

1690 

0,3 

0.02 

ND 

0,09 

2.0-2,5 

1 

2496 

0,7 

0.12 

0,008 

0,28 

3,0-3,5 

2 

3204 

0,8 

0.15 

0,055 

0,32 

(Continued  next  page) 

Vol.  12,  No.  2,  September  1978 


73 


TABLE  3   (cont'd. ).     Comparison  of  residues  by  weialit  class  of  six  fish  species  cuuglit  in  Lakes  Saint  Clair  and  Erie.  1968-76 


Mean 


Species 


Year 


WCIliHl 

Number  of 

Weight 

Class,  kg 

Analyscs- 

a 

0-0.5 

.1 

265 

0.5-1.(1 

.1 

77.! 

0-0.5 

4 

.164 

0.5-1.0 

1 

725 

0-0.5 

1(5) 

72 

0.5-1.0 

1 

9116 

2.0-2.5 

2 

2175 

Fat, 


Mean  Content  of  Residues  in 
Tissue,  fpm 

Yddt 


Dielorin 

PCBs 

0.005 

0.08 

0.010 

0.24 

ND 

0.89 

ND 

1.10 

0.054 

0.66 

0.060 

0.70 

0.360 

4.60 

Erie 

(W) 

(E.W) 
(W) 


1968 
1971 
1975 


2.1 
.1.7 
.1.7 
3.0 
3.7 
3.9 
21.3 


0.24 
0.42 
0.04 
0.02 
0.13 
0.15 
1.32 


'E=:eastcrn  basin;  C -central  basin;  W  — western  basin. 

-Anal>ses  perliirmed  on  single  fish  in  most  cases;  in  sonic  cases  composite 

markeil  clrop  \v;is  iiotciJ  for  -DDT  between  1968  and 
1971,  hut  there;il"ter  the  iJecline  was  small  (Tahles  2,  3). 

Dicldrin — Mean  residues  in  all  speeies  were  less  than 
0.10  ppm.  In  addition,  12  species  had  mean  residues 
at  or  below  0.01  ppm  dieldrin.  The  highest  mean  resi- 
due of  0.09  ppm  was  present  in  smallmouth  bass  caught 
in  1975  (Table  2).  By  weight  class,  smallmouth  bass 
exhibited  an  increase  in  dieldrin  residues  between  1968 
and  1976  (Table  3).  Only  three  other  species,  carp, 
nioone_\e.  and  walleye,  had  individual  fish  with  residues 
ot  0.10-0. 1.*^  ppm  dieldrin  (Table  2).  Dieldrin  residues 
in  walleye  peaked  in  1971  ;ind  declined  by  1976 
(Table  3).  Freshwater  drum,  the  only  other  species 
caught  in  the  earh  and  late  years,  showed  no  change 
in  dieldrin  residues  (Tables  2,  3). 

PCB,s— Only  one  fish  trom  Lake  Saint  Clair,  a  435-g 
mooneye,  exceeded  the  5.0  ppm  tolerance  level  for  PCB 
residues  in  fish  tissues  set  by  the  Food  and  Drug  Ad- 
ministration, U.S.  Department  of  Health,  Education, 
and  Welfare.  However,  several  species  and  individual 
fish  e.xceeded  the  2.0  ppm  Health  and  Welfare  Canada 
tolerance  level  (Table  2).  Smallmouth  bass  caught  in 
197.S  and  channel  catfish  caught  in  1971  had  mean 
residues  of  2.1  ppm  and  2.3  ppm  PCBs,  respectively 
(Table  2).  In  1970,  one  of  six  largemouth  bass  (Mic- 
ropterus  salmoidcs),  four  of   12  mooneye,  and  one  of 


samples  were  analyzed,  and  the  number  of  fish  is  in  parentheses. 

eight  redhorse  (Moxostoma  sp.)  contained  2.1-7.2  ppm 
PCBs.  In  1^)71,  three  of  1  1  longnose  gar,  and  four  of 
six  channel  catfish  caught  in  Tremblay  Creek  and  in 
Mitchell  Bay,  respectively,  had  residues  of  2.0-4.0  ppm 
PCBs.  In  1975,  PCB  levels  in  four  of  six  smallmouth 
bass  ranged  from  2.2  to  3.1  ppm. 

PCB  residues  increased  in  smallmouth  bass  between 
1968  and  1975.  However,  freshwater  drum  and  walleye 
showed  little  change  even  by  weight  class  (Tables  2,  3). 

HCB — Forty-eight  fish  of  17  species  caught  in  1970-71 
and  analyzed  in  1973  had  detectable  HCB  residues 
below  0.1  ppm.  Redhorse  mullet  had  the  highest  mean 
residue,  0.024  ppm,  and  the  highest  residue  in  a  single 
fish,  0.08  ppm.  Carp,  channel  catfish,  and  yellow  perch 
(Perca  fhivesci'iis)  had  the  second  highest  residues  of 
0.013  ppni  HCB  (Table  4). 

Chlordiinc  ami  hcplacldor  epoxide — The  same  48  fish 
caught  in  1970-71  were  anal\zed  for  cis-  and  trans- 
chlordane  and  hcptachlor  epoxide.  Interfering  com- 
pounds prevented  confirmation  of  chlordane  below  0.05 
ppm.  Smallmouth  bass  caught  in  1975  contained  low 
levels  of  chlordane  but  these  could  not  be  satisfactorily 
separated  from  interfering  compounds.  By  1976,  both 
chlordane  and  hcptachlor  epoxide  were  identified  at 
low  levels  in  freshwater  drum  and  walleye  (Table  5). 


TABLE  4. 

He. 

aclitorohenzcne 

residues  in 

17 

sp 

•cies  of  fisli  (-fS  fisli)  caiisihl  in  Lake 

Saini  Clair.  1970-71 

Yl  AR 

No.  OF 
Fish 

Avi.RAt.i:  Wiiicm, 

G 

HCB, 

PPM 

Fish  Sfecies 

Mean 

Range 

I.OCAIION 

Largemouth  bass 

1970- 

71 

■> 

683 

0.005 

0.002-0.008 

Mitchell  Bay 

Rock  bass 

1971 

3 

2211 

0.008 

0.002-0.013 

Tremblay  Creek 

Bluegill 

1971 

6 

1711 

0.002 

<0.00 1-0.004 

Mitchell  Bay 

Bowfin 

1971 

1 

163(1 

0.008 

0.005-0.015 

Mitchell  Bay 

Brown  bullhead 

1971 

3 

412 

(l.(K)3 

0.002-0.1)03 

Mitchell  Bav 

Carp 

1971 

2 

2890 

0.013 

0.006-0.020 

Mitchell  Bav 

Channel  catfish 

1971 

2 

1910 

0,013 

(1.005-0.020 

Trcmblav  Creek.  Milchell  Bay 

Black  crappic 

1971 

3 

243 

0.(1112 

(1.001-0.003 

Mitchell  Bay 

Freshwater  drum 

1971 

3 

623 

0.0116 

11.(102-0.008 

St.  Lukes  Bav 

i.ongnosc  gar 

1970 

1 

1195 

0.007 

Tremblay  Creek 

Mooneye 

1970 

2 

158 

0.009 

Tremblay  Creek 

Yellow  perch 

1971 

2 

55 

0.013 

0.007-0.019 

Mitchell  Bav 

Pumpkinsccd 

1971 

5 

123 

0.001 

<0.00 1-0.002 

Mitchell  Bay 

Quillback 

1970- 

-71 

4 

1670 

0.008 

0.005   0.010 

Mitchell  Bav 

Redhorse  mullet 

1970- 

-71 

4 

670 

0.024 

0.002-0.080 

Bassctt  Channel.  Mitchell  Bav 

White  sucker 

1970 

3 

1185 

0.004 

tl.003-0.006 

Bassetl  Channel 

W;,lle>c 

1971 

1 

120 

0.002 

Mitchell  Bay 

74 


Pesticides  Monitoring  Journal 


TABLE  5.     Chlordanc  and  heptachtor  epoxide  residues  in  fish  species  caiiuht  in  Lukes  Saint  Clair  and  Erie,  1972-76 


Lake 


Saint  Clair 


Lake  Erie 
Central  basin 


Eastern  basin 


Fjsh  Species 


Freshwater  drum 
Walleye 

Rainbow  trout  ' 
While  bass 

Yellow  perch 


Coho  salmon 
Emerald  shiner 
Rainbow  smelt 


Year 


1976 
1976 

1974 
1972 
1976 
1972 
1975 
1976 
1976 
1976 
1975 
1976 


Mean 

Mean  Content  of  Residues  in 

No.  OF 

Weight, 

G 

Fat, 

Fish  Tissues,  ppm 

FlSHl 

% 

Chlordane-       Heptachlor  Epoxide 

10 

259 

9 

1726 

5 

642 

11 

156 

7 

118 

10 

133 

15 

60 

15 

121 

6 

2198 

4(12) 

5.6 

5 

74 

10 

20 

1.7 
0.8 

4.4 
5.9 
3.6 
3.2 
2.1 
1.6 
11.5 
5.6 
8.9 
5.1 


O.UII 
ND-0.080 

0.008 
ND-0.028 

ND 

0.023 
0.010-0.050 

0.010 
0.008-0.011 

0.011 
<0.00l-0.020 

0.007 
0.002-0.016 

0.007 
<0.00I-0.0I4 

0.037 
0.011-0.045 

0.038 
0.011-0.050 

0.015 
0.004-0.021 

0.046 
0.022-0.134 


0.003 
ND-0.0I3 

0.004 
ND-0.013 

0.006 
ND-0.033 

ND 

0.004 

0.002-0.007 

ND 

0.001 
ND-0.006 

0.003 
<0 .00 1 -0.007 

0.007 
0.002-0.010 

0.012 
0.006-0.016 

0.006 
0.001-0,009 

0.015 
0.009-0.033 


■See  footnote  1,  Table  3. 

-NOTE:   Chlordane  present  as  c/i-  and  /r«;ij-isomers  in  all  species  except  while  bass  and  yellow  perch  cauyht   in   1972.    Then,  only  rii-chlordane 

was  confirmed. 
•Three  rainbow  Irout  caught  in  Silver  Creek  also  conlaincd  endosulfan  with    mean    residue    ot   0.025    ppm    (0.007-0.050   ppm).     NOTE:    ND  =  not 

detected. 


Other  organochlorines — No  endrin  or  metho.xychlor  was 
detecteiJ  in  fish  caught  in  Lake  Saint  Clair.  Samples  were 
analyzed  for  mirex  in  1975-76,  but  no  residues  were 
detected  in  smallmouth  bass,  freshwater  drum,  or  wall- 
eye caught  in  those  years. 


LAKE  ERIE 

'ZDDT — No  mean  residues  of  -DDT  for  any  species 
caught  in  Lake  Erie  in  1968-76  exceeded  the  5.0  ppm 
United  States  and  Canadian  tolerance  levels.  Three 
coho  salmon  caught  in  1970  in  the  central  basin  con- 
tained levels  of  8.23,  7.67,  and  7.61  ppm  i:DDT.  and 
the  whole  catch  of  1  I  fish  averaged  2.80  ppm  (Table  6). 
These  three  fish  were  the  largest,  weighing  1,963,  2,276, 
and  2,640  g,  respectively,  Three  coho  salmon  caught 
in  1971  from  the  same  basin  and  weighing  an  average 
of  806  g  contained  only   1.76  ppm  -DDT. 

SmallmoLith  bass  caught  in  1971  from  the  eastern  basin 
was  the  only  other  species  with  mean  residues  above  1.0 
ppm;  mean  residues  were  1.2  ppm  -DDT.  Smallmouth 
bass  caught  in  1968  from  the  same  basin  averaged  0.83 
ppm;  however,  two  of  16  fish  had  1.53  ppm  and  4.28 
ppm  -DDT.  White  bass  and  walleye  had  individual  fish 
with  residues  above  1 .0  ppm. 

Five  species  were  caught  in  all  three  basins  during  the 
same  year,  and  one  of  these,  coho  salmon,  was  caught 
in  three  basins  over  two  years  (Tables  3,  6,  7).  Emer- 
ald shiner  {Notropis  atherinoides)  and  yellow  perch, 
which  are  localized  species,  contained  residues  of  -DDT 


that  were  not  significantly  different  among  the  three 
basins.  In  migrating  species  of  white  bass,  freshwater 
drum,  coho  salmon,  and  rainbow  smelt  (Osmerus  mor- 
dax),  -DDT  residues  were  similar  for  catches  in  the 
three  basins.  Where  differences  occurred,  the  higher 
residues  correlated  with  fish  size  rather  than  with  basin. 
The  highest  residues  of  -DDT  from  the  central,  eastern, 
and  western  basins,  respectively,  were  freshwater  drum 
caught  in  1971  and  1975  and  coho  salmon  caught  in 
1975.  In  all  three  cases,  the  individual  fish  were  1.5-4 
times  heavier  than  members  of  the  same  species  from 
the  other  basins,  and  a  correlation  was  evident  between 
increasing  weight  and  increasing  i;DDT  residue;  these 
differences  virtually  disappear  when  similar  weight 
classes  are  compared  among  the  basins  (Tables  3.  6,  7). 

Si\  species  were  divided  into  weight  classes  to  deter- 
mine the  extent  of  decline  in  -DDT  residues  between 
1968  and  1976  (Tables  3,  7).  In  the  eastern  basin, 
smallmouth  bass,  which  were  caught  in  four  separate 
years,  offered  the  best  example.  -DDT  mean  residues 
for  the  species  peaked  in  1971  and  declined  thereafter 
(Table  6);  when  compared  by  weight  class,  however, 
species  showed  a  decline  in  -DDT  from  1968  to  1976 
(Table  3).  Declining  residues  of  2DDT  in  the  eastern 
basin  were  evident  in  rock  bass  (Amhioplites  nipestris), 
white  bass,  and  yellow  perch  but  not  in  rainbow  smelt 
or  freshwater  drum  (Tables  3.  6). 

In  the  central  basin,  2DDT  residues  in  coho  salmon 
peaked  in  1971  and  declined  thereafter.  Residues  also 
declined  in  freshwater  drum  and  rainbow  smelt  but  not 


Vol.  12,  No.  2,  September  1978 


75 


TABLE  6.     Orfionochlorinc  residues  in  19  fish  species  canf;lil  in  Canadiun  waters 
uj  Lake  Erie  (I96H-76)  and  sevre.vatcd  into  western,  central,  and  eastern  basins 


Mean  and  Rance 

Fish  Tissue, 

Fish 
Species 

Year 

No.  OF 
Basin   Analyses' 

Weigh). 
c 

Fat. 

Mean  Content  and  i 

Range  of  Coniaminapjis  in 

PPM 

DDE 

TDE 

DDT 

i;DDT 

Dieldrin 

PCBs 

Centriithiduf 

Larticmouth 
basH 

1975 

East 

12 

409 

3.9 

0.13 

0.04 

<fl.01 

0.18 

0.02 

0.1 

254-835 

2.3-7.1 

0.03-0,33 

0.01-0.14 

<0.01-<).()3 

0.07-0.50 

<().0 1-0.08 

0.1-0.3 

Rock  bass 

1968 

East 

7 

91 

1.7 

0.06 

0.03 

0.03 

0.12 

0.01 

0.2 

84-113 

0.8   2.6 

0.0  i -0.14 

<0.0 1-0.07 

<0.01-0.07 

0.02-0.28 

<O.OI-0.02 

<o.i-n.5 

1971 

East 

8 

180 
101-239 

1.9 

1.2   2.7 

0.09 
0.02-0.13 

ND 

ND 

0.09 
0.02-0.13 

ND 

0.3 
0.2-0.6 

Smallmoiiih 

1968 

East 

16 

280 

l.S 

0.31 

0.1 1 

0.41 

0.83 

<0.0I 

0.3 

bass 

162-478 

0.9  4.2 

0.1  1-1.60 

0.04-0.44 

0.15-2.24 

0.32-4.28 

<0.0 1-0.03 

0.2-0.84 

1971 

East 

*t 

1449 

7.5 

0.90 

0.13 

0.17 

1.20 

<O.OI 

5.8 

1376-1522 

5.7  9.3 

0. 50-1. 30 

0.03-0.23 

0.05   ().28 

0.55-1.81 

2.3-9.3 

1972 

East 

18 

292 

3.0 

0.12 

0.03 

0.05 

0.20 

0.01 

0.7 

76-697 

1.9-5.0 

0.07-0.27 

0.01-0.07 

0.01-0.13 

0.01-0.42 

<0.0 1-0.03 

0.4-1.2 

1975 

East 

6 

821 

4.1 

0.11 

0.03 

0.02 

0.16 

0.03 

0.3 

480-1226 

2.5-5.4 

0.04-0.20 

0.01-0.25 

<0. 01-0.05 

0.05-O.30 

0.01-0.05 

0.2-0.4 

Hliii->;ill 

1968 

East 

4 

209 

0.5 

<0.01 

<0.01 

<0.0I 

0.02 

<0.01 

<0.1 

97-341 

1)4-0.5 

<().()  1-0.03 

<0.0I-0.()1 

<O.OI-0.02 

<0.0l-0.06 

Black  crappie 

1968 

East 

5 

1  II 

1.2 

0.06 

0.04 

0.04 

0.14 

<O.OI 

<0.1 

80-173 

0.7-1.8 

0.02-0.10 

0.02-0.07 

0.01-0.07 

0.05-0.21 

<0. 1-0.1 

I'limpkinsecd 

1968 

East 

6 

95 

1.4 

0.02 

0.01 

0.01 

0.04 

<0.0I 

<0.1 

79-113 

0.9-1.9 

0.01-0.02 

<0.01-0.l)l 

0.03-0.05 

<0. 01-0.01 

<0. 1-0.1 

Clttpeidiw 

Alcwife 

1971 

East 

7 

101 
93-108 

23.2 
19.4-25.5 

0.24 
0.12-0.29 

ND 

ND 

0.24 
0.12-0.29 

<0.01 

3.0 
1.9-3.7 

1975 

West 

2(21) 

40 

8.6 

0.05 

0.08 

ND 

0.13 

0.07 

0.5 

34-5  1 

8.1-8.9 

0.04-0.06 

0.07-0.09 

0.1 1-0.15 

(1.4-0.5 

Central 

5(22) 

39 

21.8 

0.05 

0.09 

ND 

0.14 

0.08 

0.4 

20-66 

14.1-31.9 

0.03-0.07 

0.03-0.15 

0.06-0.22 

0.02-0.15 

0.3-0.4 

Ciiz/ard  shad 

1968 

West 

6 

234 

9.4 

0.06 

0.17 

0.09 

0.32 

0.02 

0.3 

37-302 

4.4-12.6 

0.04-0.08 

0.10-0.25 

0.06-0.15 

0  20-0.47 

<0.0l-0.04 

<0. 1-0.6 

1971 

West 

3(6) 

92 
74-105 

15.5 
13,8-16.7 

0.07 
0.06-0.07 

ND 

ND 

0.07 
0.06-0.07 

ND 

2.6 
2.1-3.5 

Central 

3(9) 

72 
67-77 

15.3 
I  1.8-18.6 

0.14 
0,08-0.19 

ND 

ND 

0.14 
0.08-0.19 

ND 

3.4 
2.4-4.7 

1975 

West 

4(271 

136 

11.1 

0.04 

0.09 

ND 

0.13 

0.08 

0.7 

110-157 

10.1-12.0 

0.03-0.06 

0.06-0.11 

0.09-0.17 

0.06-0.10 

0.6-0.9 

Central 

2(7) 

63 

12.0 

0.05 

0.09 

ND 

0.14 

0.08 

0.5 

47-69 

4,7-12.6 

0.09-0.10 

0.14-0.15 

0.07-0.09 

0.4-0.6 

Cyprlnidae 

I  mcrald  shiner 

1975 

West 

3(60) 

4.2 

6.7 

0.06 

0.06 

ND 

0.12 

0.05 

0.6 

4.0-4.5 

5.6-7.7 

0.05-0.07 

0.05-0.07 

0.10-0.14 

0.05-0.06 

0.5-0.7 

Central 

3  ( 60 ) 

6.4 

7.7 

0.04 

0.05 

ND 

0.09 

0.04 

0.3 

4.5-8.9 

5.3-9.0 

0.0.1-0.05 

0.04-0.08 

0.07-0.13 

0.03-0.06 

East 

4(12) 

5.6 

5.6 

0.08 

0.02 

0.02 

0.12 

0.02 

0.4 

2.5-10.0 

4.0-8.0 

0.07-0. 10 

0.01-0.04 

0.01-0.02 

0.10-0.16 

N  D-0.03 

0.3-0.6 

Spotiail  shiner 

1975 

West 

3(60) 

II. 1 

3.8 

0.05 

0.06 

ND 

O.ll 

0.04 

0.06 

5.7-16.0 

3.5-4.0 

0.03-0.07 

0.04-0.08 

0.O7-0.I5 

0.03-0.06 

0.04-0.07 

titaluridae 

Brown  bullhead 

1968 

East 

4 

149 

0.9 

0.02 

0.02 

0,01 

0.05 

<0.01 

<0.1 

95-183 

0.2-1.4 

<0.0l-0.()4 

<0.0 1-0.03 

<0.0 1-0.02 

0.01-0.10 

Channel  calfish 

1968 

West 

4 

105 

3.5 

0.13 

0.18 

0.15 

0.46 

0.01 

0.2 

74-135 

2,1-4.5 

0.09-0.18 

0.13-0.26 

0.12-0.20 

0.34-0.64 

<0.01-0.01 

<0.1-0.2 

1971 

West 

2 

518 
356-680 

19.3 
17.7-20.9 

0.16 
0.14-0.18 

ND 

ND 

0.16 
0.14-0.18 

ND 

5.0 

4.2-5.7 

Rainbow  smell 

1968 

Central 

4(13) 

24 

2  2 

0.05 

0.04 

0.09 

0.18 

0,01 

0.2 

I6-.10 

1.7-3.5 

0.03-0.07 

0.03-0.06 

0.07-0.10 

0.13-0.22 

<0. 01-0.02 

0.2-0.3 

1971 

East 

2(7) 

36 
33-41 

5.9 
3.8-7.5 

0.09 
0.07-0.12 

ND 

ND 

0.09 
0.07-0.12 

ND 

1.3 
1.2-1.4 

1973 

West 

UIO) 

26 

1.1 

0.13 

0.14 

0.04 

0.31 

0.06 

0.5 

1975 

West 

9(60) 

29 

3,4 

0.04 

0.04 

ND 

0.08 

0.03 

0.4 

22-45 

3.0-4.4 

0.02-0.07 

0.04-0.08 

0.05-0.15 

0.02-0.06 

0.2-0.6 

Central 

6(70) 

16 

3.5 

0.03 

0.03 

ND 

0.06 

0.03 

O.I 

13-20 

3.1-3.8 

0.02-0.05 

0.03-0.04 

0.05-0.08 

0.02-O.03 

East 

8(23) 

16 

3.2 

0.05 

0.04 

<o.oi 

0.10 

0.03 

0.3 

13-18 

2.1-4.1 

0.02-0.08 

0.01-0.06 

ND-0.03 

0.03-0.12 

0.01-0.06 

0.1-0.6 

1976 

East 

10 

30 

5.1 

0.05 

0.04 

0.02 

0.11 

0.05 

0.3 

23-55 

3.4-10,4 

0.02-0.19 

0.02    0.16 

<0.0I-0.I3 

0.05-0.48 

0.03-0.10 

<0.1-1.4 

Percidae 

Yellow  perch 

1968 

West 

12 

141 

1.3 

0.04 

0.06 

0.04 

0.14 

<0.0I 

<0.1 

105-216 

0.4-3.4 

0.01-0.  II 

0.01-0.14 

0.01-0.1 1 

0.06-0.36 

East 

11 

108 

0.8 

0.03 

0.02 

0.05 

0.10 

<0.01 

<0.1 

87-137 

0.5-1.8 

<0.0 1-0.06 

<0.0I    0.05 

0.02-0.08 

0.03-0.16 

<0. 1-0.1 

1971 

West 

in 

116 
82-137 

2.0 
1.4-2.9 

0.02 
<0.01-0.06 

ND 

ND 

0.02 
<0.0 1-0.06 

ND 

I.O 

0.2-2.6 

Central 

10 

102 
79-139 

1.7 
1.3-2.7 

0.03 
0.02-0.04 

ND 

ND 

0.03 
0.02  0.04 

ND 

0.3 
0.2-0.6 

East 

9 

122 
99-137 

2.7 
1.5-5.8 

0.08 
0.04  0.14 

ND 

ND 

0.08 
0.04-0.14 

ND 

0.6 
0.3-1.0 

IConlinned  next  page) 

76 

Pesticides  Monitoring  Journal 

TABLE  6 

(cont'd 

) .      Oifianochloriiic 

rc.siiliu'.s  in 

19  fisli  species  caii:^lit  in  C 

anadian  waters 

Year 

of  Lake  Eric 

No.  OF 
Basin  Analyses' 

(1968-76)  and  sean 
Mean  and  Range 

■fiiiled  into  wexrern,  central,  and  eastern  basins 

Mean  Content  and  Range  of  Contaihinants  in 

Fish  Tissue, 

Fish 

Weight, 

G 

Fat. 

To 

PPM 

Species 

DDE 

TDE 

DDT 

■ZOOT 

DiELDRIN 

PCBs 

1972 

East 

.10 

98 

2.6 

0.06 

0.01 

0.01 

0.08 

0.01 

0.3 

39-449 

1. 11-5. 8 

0.03-0.10 

<0.0 1-0.03 

<O.OI-0.()3 

0.04-0.15 

<0.0 1-0.03 

0.1-0.4 

1975 

Wesl 

10(59) 

40 

1.7 

0.03 

0.04 

ND 

0,07 

0.03 

0.6 

7-84 

1.4-2.0 

0.01-0.07 

0.02-0.07 

0.03-0.14 

0.02-0.07 

0.4-0.9 

1975 

Central 

I5(,301 

118 

2.9 

0.02 

0.02 

<0.0l 

0.05 

0.02 

0.2 

32-605 

0.8-3.9 

<0.0 1-0.05 

ND-0.07 

ND-<0.01 

<0.01-0.11 

ND-0.05 

<0.1-0.8 

East 

21( 

261 

85 

2.6 

0.03 

<0.0I 

<0.01 

0.05 

<0.01 

0.1 

32-210 

0.8-3.9 

<().01-0.I3 

ND-0.03 

ND-0.01 

<0.0I    0.15 

ND-0,02 

0.1-0.8 

1976 

East 

15 

121 

1.6 

0.02 

0.0! 

<0.0! 

(1.04 

0.01 

0.2 

69-212 

0.6-3.5 

0.01-0.04 

<0.0 1-0.03 

ND-0,01 

0.02-0.07 

<0.01-0.03 

<0, 1-0,8 

Walleye 

1968 

West 

6 

519 

2.9 

0.11 

0.12 

0.10 

0.33 

<0.01 

0,2 

256-923 

1.7-4.1 

11.06-0.16 

0,07-0.21 

0.06-0.15 

0.19-0.46 

<0.01-0.2 

<0. 1-0,3 

1971 

West 

4 

460 
158-362 

4.0 
1.9-5.4 

0.03 
0,112-0.03 

ND 

ND 

0.03 
0.02-0.03 

ND 

1.0 
0.5-1,6 

East 

1 

362 

1.9 

0.06 

ND 

ND 

0.06 

ND 

0.6 

1975 

West 

8(  14) 

4.30 

6.1 

0.15 

0.12 

0.02 

0,29 

0.10 

1.3 

57-2275 

1.8   22.2 

0.05-0.99 

0.(15-0.66 

<0.0I-0.I9 

0.10-1.84 

0,03-0.45 

0.3-5.1 

Salmonidae 

Coho  salmon 

1968 

Central 

2 

471 

5.4 

0.19 

0.12 

0.20 

0.51 

0,03 

0.3 

4111-531 

4.0-6.8 

0. 17-0.20 

0.10  0.14 

0.18-0.22 

0.49-0.53 

0,02-0.04 

0.2-0.4 

1970 

Central 

11 

2178 

11.8 

1.05 

0.92 

0.83 

2.80 

0.09 

4.0 

1627-26411 

9.7-13.6 

0.31-3.16 

0.25-2.70 

0.21-2.37 

0.77-8.23 

0.0.3-0.20 

1.0-14.0 

1971 

Central 

3 

806 

11.5 

0.81 

0.53 

0.42 

1.76 

0.01 

1.7 

748-908 

1  1.0-12.1 

0.77-0.85 

0.24-0.74 

0.36-0.45 

1.45-1.99 

0.01    0.02 

1.5-2.0 

1975 

West 

9 

3081 

2.7 

0.24 

0.10 

ND 

0.34 

0.08 

1.4 

1798-53110 

0.6-4.9 

0.08-0.73 

0,02-t/.!5 

0. 10-11.76 

0.02-0.12 

0.5-2.7 

Central 

17 

2436 

0.3 

0.09 

0,02 

ND 

0.11 

0.02 

0.7 

1773-3520 

(1.1  -1.0 

0.05-0.21 

<0.01-0.10 

0.06-O.30 

0.01-0.07 

0.4-2.0 

1976 

East 

6 

2198 

1.9 

0.05 

0.02 

0.02 

0.09 

0.01 

0.3 

515-3125 

1.1-2.7 

0.0.3-0.07 

0.01-0.03 

<O.OI-0.03 

0.04-0.13 

<0.01-0.02 

0.1-0.5 

Rainbow  trout 

1974 

Central 

5 

642 

4.3 

0.13 

0.06 

<0,01 

0.20 

0,07 

0.3 

93-1691 

2.7-6.1 

0.02-0.43 

<O,01-0.26 

0.03-0.69 

<0.01-0.26 

<0. 1-0.8 

Sciacnicltie 

Freshwater 

drum 


Serrimiiiae 
White  bass 


1968         West  II 

1971          West  5(9) 

Central  9 

East  10 

1975         West  16(23) 

Central  8 

East  10 

1968         West  6 

East  2 

1971  West  10 
Central  II 
East  10 

1972  East  30 


181  2.7 

41-380  0,5   6.4 

106  5.8 

82-208  3.8-7.3 

407  7.8 

173-688  3,8-11,2 

239  7,3 

139-390  5.5-10.2 

255  4.4 

14-674  1.5-8.3 

345  5,5 

123-575  2.1-9.1 

612  4.3 

399-856  1.9-7.2 


0.05  0.10 

0.03-0.11  0.05-0.17 

0,04  ND 
0.01-0.12 

0.17  ND 
0.07-0.39 

0.03  ND 
<0.0 1-0.07 

0.03  0.03 

0.01-0.07  <0.01-0.07 

0.05  0.06 

0.02-0.12  0.04-0.10 

0.12  0.03 

0.06-0.30  <0.0I-0.09 


161 
117-295 

1  10 
107-113 

2.30 
163-401 

160 
110-232 

127 
92-199 

161 
54-755 


3.0 
2.1-4.2 

1.3 
1.2-1.5 

6.5 
3.2-10.0 

6.5 
4.3-11.2 

3.6 
2.6-4.8 

3.7 
0.5-9.0 


0.17 
0.04-0.41 

0.04 
0.03-0.05 

0.09 
0.03-0.19 

0.13 
0.10-0.17 

0.10 
0.05-0.17 

0.12 


0.24 
0.12-0.60 

0.02 
0.01-0.02 

ND 

ND 


0.04 


0.07 

0.04-0.11 

ND 

ND 

ND 

ND 

ND 

0.01 
<O.OI-0.05 

0.16 
0.08-0.40 

0.12 
0.07-0.16 

ND 

ND 
ND 

0.03 


0.22  <0.01 

0.12-0.38  <0.0I-0.01 

0.04  ND 
0.01-0.12 

0.17  ND 
0.07-0.39 

0.03  ND 
<O.OI-0.07 

0.06  0.03 

0.02-0.14  0.01-0.07 

0.11  0.05 

0.07-0.19  0.03-0.08 

0.16  0.03 

0.06-0.42  0.01-0.04 


0 


0.57 
:3-1.41 

0,18 
0.11-0.23 

0.09 
0.03-0.19 

0.13 
0.10-0.17 

0.10 
0.05-0.17 

0.19 


<0.01 

0.02 

0.01-0.02 

ND 

ND 

ND 


0.01 


0.07-0.44       <0.0 1-0.33       <0.01-0.17 


0.08-0.84      <0.01-0.04 


<0.l 

1.4 
0.7-3.5 

3.7 
2.2-4.7 

1.3 
0.6-1.8 

0.6 
0.2-1.8 

0.7 
0.4-1.4 

0.4 
0.2-0.6 

0.1 
<0. 1-0.3 
<0.1 

2.2 
1.1-4.8 

1.6 
0.9-2.2 

0.8 
0.5-1.4 

1.0 
0.5-5.4 


NOTE:  Fish  eviscerated,  heads  and  tails  removed;  alewjfe.  shiner  and  smelt  analyzed  whole. 
'See  footnote  1.  Table  3. 


in  yellow  perch  or  gizzartd  shaci  ( Dorosoma  cepedia- 
iiititi)  (Tables  3,  6,  7). 

In  the  western  basin,  good  e.xampies  were  not  available 
to  show  trends,  and  decline  of  SDDT  residues  were 
not  so  obvious.  -DDT  generally  declined  in  channel 
catfish,  freshwater  drum,  yellow  perch,  and  rainbow 
smelt,  but  not  in  white  bass  (Table  6).  To  observe  a 
decline  in  -DDT  for  walleye,  similar  weight  classes 
must  be  compared  (Table  3), 


Dieldrin — Only  white  bass  and  walleye  caught  in  1975 
contained  mean  residues  of  dieldrin  at  or  above  0.1 
ppm.  Three  white  bass  from  the  western  basin  had 
dieldrin  levels  of  0.12-0.19  ppm,  and  two  from  the 
central  basin  had  0.17  ppm  dieldrin.  Two  walleye  in 
a  catch  of  14  fish  from  west  of  Pelee  Island  had  the  high- 
est resdues,  0.27  ppm  and  0.45  ppm.  These  two  fish  were 
the  largest  of  the  catch  (2.0  kg  and  2.3  kg)  and  con- 
tained 20-22  percent  fatty  tissue  (Table  6). 


Vol.  12,  No.  2,  September  1978 


77 


TABLE  7.     Six  species  of  fish  ciiiif;lil  in  till  llinc  hcisins  of  Lake  Erie  in  either  the  same  year 
or  in  a  two-year  period  (I97J ,  1975-76) 


Average 

Mean 

Fish  Speciis 

Weigh  r 

(I  ASS.  KG 

Basin' 

Weight, 

G 

Fat, 

Mean 

Content  in  Tissue, 

PPM 

Number  of 

(Year) 

SDDT 

DlELDBIN- 

PCBs 

Fish' 

While  bass 

0-0.25 

W 

191 

4.9 

0.07 

ND 

1.73 

8 

(1971) 

C 

219 

6.5 

0.13 

ND 

1.62 

11 

E 

127 

3.6 

0.10 

ND 

0.80 

10 

Freshwater  drum 

0-0.25 

W 

106 

5.0 

0.04 

ND 

1.40 

5(9) 

(1971) 

C 

176 

8.5 

0.11 

ND 

5.50 

2 

E 

183 

6.4 

0.02 

ND 

1.14 

7 

(1975) 

0.25-0.50 

W 

371 

4.7 

0.09 

0.041 

0.09 

7 

c 

439 

2.8 

0.11 

0.020 

0.40 

3 

E 

372 

6.8 

0.11 

0.050 

1.20 

3 

0.50-0.75 

W 

592 

43 

0.07 

0.033 

0.60 

3 

C 

628 

5.5 

0.23 

0.034 

0.40 

5 

E 

574 

4.4 

0.16 

0.045 

0.95 

2 

■fellow  perch 

0-0.25 

W 

116 

2.0 

0.02 

ND 

0.96 

10 

(1971) 

C 

102 

1.7 

0.03 

ND 

0.34 

10 

E 

122 

2.7 

0.08 

ND 

0.64 

9 

(1975) 

0-0.25 

W 

40 

1.7 

0.07 

0.030 

0.60 

10(59) 

C 

95 

1.8 

0.05 

0.025 

0.18 

11(26) 

E 

85 

2.6 

0.05 

0.007 

0.10 

21(26) 

Emerald  shiners 

0-0.25 

W 

4.2 

6.7 

0.12 

0.053 

0.63 

3(60) 

(1975) 

C 

6.4 

7.7 

0.09 

0.043 

0.30 

3(60) 

E 

5.6 

5.6 

0.12 

0.021 

0.41 

4(12) 

Rainbow  smell 

0-0.25 

W 

29 

3.4 

0.08 

0.030 

0.45 

9(60) 

(1975) 

C 

16 

3.5 

0.06 

0.029 

0.10 

6(70) 

E 

16 

3.2 

0.10 

0.029 

0.34 

8(23) 

Coho  salmon 

1.0-2.0 

W 

1.9 

2.9 

0.31 

0.075 

1.35 

2 

(1975-76) 

C 

1.8 

0.3 

0.08 

0.015 

0.70 

4 

E 

1.6 

2.7 

0.09 

0.012 

0.52 

1 

2.0-1.0 

W 

2.8 

2.1 

0.25 

0.068 

1.05 

4 

C 

2.3 

0.3 

0.08 

0.013 

0.55 

6 

E 

2.6 

1.9 

0.11 

0.011 

0.28 

3 

3.0-4.0 

W 

3.8 

4.3 

0.32 

0.095 

1.40 

2 

C 

3.2 

0.5 

0.15 

0.035 

0.95 

6 

E 

3.1 

1.4 

0.04 

0.004 

0.11 

1 

iW  =  western,  C=central,  E^easlern. 
-ND  =  not  detected. 
■'See  footnote  1,  Table  3. 


Three  species,  rainbow  trout  {SalDio  gairilneri)  caught 
in  1974,  and  alewife  and  coho  salmon  caught  in  1975, 
had  mean  residues  of  dleldrin  below  0.1  ppm.  Only  a 
few  members  of  these  species  had  levels  above  0.1  ppm. 

Although  differences  in  dieldrin  residues  among  basins 
are  not  apparent,  dieldrin  residues  did  increase  in  1968- 
71  and  1975-76,  as  exhibited  by  alewife,  smallmouth 
bass,  white  bass,  freshwater  drum,  yellow  perch,  gizzard 
shad,  and  walleye  (Tables  3,  6,  7). 

PCBs — In  the  eastern  basin,  only  smallmouth  bass 
caught  in  1971  had  mean  residues  of  PCBs  above  the 
5.0  ppm  U.S.  tolerance  limit;  channel  catfish  from  the 
western  basin  averaged  5.0  ppm  in  the  same  year 
(Table  6).  In  addition,  species  of  white  bass  caught  in 
the  eastern  basin  in  1972,  coho  salmon  caught  in  the 
central  basin  in  1970,  and  walleye  caught  in  the  western 
basin  in  1975  had  individual  members  whose  PCB  resi- 
dues exceeded  5(1  ppm. 

Species  other  than  smallmouth  buss  and  channel  catfish 
which  had  PCB  mean  residues  exceeding  the  2.0  ppm 
Canadian  tolerance  limit  were:  alewife  from  the  eastern 
basin  (1971  ),  white  bass  from  the  western  basin  (1971, 
1975),  freshwater  drum  from  the  central  basin  (1971), 
coho  salmon  from  the  central  basin  ( 1970),  and  gizzard 

78 


shad  from  both  western  and  central  basins  (1971). 
Among  other  catches  in  which  the  mean  residue  was 
below  2.0  ppm  PCBs  but  individual  fish  exceeded  the 
2.0  ppm  tolerance  limit  were  white  bass  from  the  eastern 
basin  (1972),  freshwater  drum  from  the  western  basin 
(1971),  yellow  perch  from  the  western  basin  (1971), 
and  coho  salmon  from  the  western  basin   (1975). 

There  was  no  correlation  between  highest  mean  residue 
of  PCBs  in  a  species  and  the  basin  in  which  it  was 
caught.  In  1971.  three  species  were  caught  in  all  three 
basins.  Alewife  had  the  highest  mean  residues  (3.0 
ppm)  of  the  eastern  basin  species;  freshwater  drum  had 
the  highest  mean  residues  (3.7  ppm)  of  the  central 
basin  species;  and  yellow  perch  had  the  highest  mean 
residues  ( 1.0  ppm)  of  western  basin  species  (Table  6). 

In  the  western  basin,  white  bass  and  walleye  showed 
increased  residues  of  PCBs  between  1968  and  1975  both 
for  mean  residues  and  residues  by  weight  class  (Tables  3, 
6).  Freshwater  drum  and  gizzard  shad  contained  resi- 
dues of  PCBs  that  increased  between  1968  and  1971  and 
declined  in  1975.  PCB  residues  also  declined  in  yellow 
perch  between  1971  and  1975  (Tables  3.  (\  7). 

In  the  central  basin,  PCBs  in  coho  salmon  peaked  in 
Pesticides  Monitoring  Journal 


1970  and  then  declined  until  1975.  This  was  true  for 
similar  weight  classes.  PCB  residues  declined  in  tissues 
of  white  bass,  freshwater  drum,  and  gizzard  shad  in  the 
central  basin.  No  species  showed  increasing  PCB  resi- 
dues, but  yellow  perch  and  rainbow  smelt,  which  had 
low  residues  in  1968,  showed  little  change  in  tissue 
residues  by  1975. 

In  the  eastern  basin,  mean  residues  of  PCBs  in  small- 
mouth  bass  and  yellow  perch  reached  a  ma.ximum  level 
in  1971  and  then  declined  (Table  6).  However,  a 
comparison  of  fish  by  weight  classes  showed  that  resi- 
dues of  PCBs  peaked  in  1972  and  have  shown  little 
change  since  (Table  3).  White  bass,  freshwater  drum, 
and  rainbow  smelt  had  their  highest  residues  in  1971-72 
and  declined  by  1975. 

CMordane  and  hcptachlor  epoxide — Residues  of  cis-  and 
//o/i.v-chlordane  were  first  determined  in  1972.  In  that 
year,  c/i-chlordane  was  positively  identified  in  only  two 
species,  white  bass  and  yellow  perch  from  Long  Point 
Bay,  Lake  Erie  (Table  5).  The  presence  of  r/-fl/i.?-chlor- 
dane  in  the  two  species  was  suspected  but  not  confirmed. 
Chlordane  residues  in  other  fish  caught  between  1972 
and  1974  were  not  confirmed  because  of  the  interfer- 
ence of  other  compounds  on  the  chromatogram. 

In  1975-76,  both  cis-  and  /ra/w-isomers  of  chlordane 
were  detected  in  white  bass,  yellow  perch,  coho  salmon, 
emerald  shiner,  and  rainbow  smelt;  highest  residues 
were  found  in  rainbow  smelt  in  1976.  Chlordane  was 
also  suspected  in  other  species.  However,  levels  were 
either  too  low  to  be  confirmed  or  interfering  substances 
made  separation  and  identification  difficult.  In  1976, 
several  species  were  analyzed  for  oxchlordane  but  it  was 
not  detected. 

Heptachlor  epo.xide  was  first  positively  identified  in 
rainbow  trout  caught  in  Silver  Creek  draining  into  the 
central  basin  (Table  5).  In  1975  and  1976,  residues 
of  heptachlor  epoxide  were  also  identified  in  white  bass, 
yellow  perch,  coho  salmon,  emerald  shiner,  and  rainbow 
smelt.  As  with  chlordane,  the  highest  residues  of  hep- 
tachlor epoxide  were  found  in  rainbow  smelt. 

Other  organochloiine  compounds — Endosulfan  was 
identified  in  rainbow  trout  caught  in  Silver  Creek  in 
1974  (Table  5).  Neither  endrin  nor  methoxychlor  was 
identified  in  any  fish  caught  in  Lake  Erie.  Mirex 
analysis  was  added  in  1975-76,  but  no  measurable 
residues  were  detected. 

Discussion 

SEDIMENT  AND  FISH  RESIDUES 

Sediments  in  Lake  Erie  were  five  to  ten  times  more 
highly  contaminated  with  2DDT.  dieldrin,  and  PCBs 
than  were  sediments  from  Lake  Saint  Clair,  mostly  be- 

VoL,  12,  No.  2,  September  1978 


cause  sediment  is  transitory  through  Lake  Saint  Clair  but 
accumulates  in  the  basins  of  Lake  Erie  (5).  Fish  tis- 
sue residues  of  -DDl^  and  dieldrin  did  not  necessarily 
show  this  trend,  but  PCBs  were  higher  in  fish  from  Lake 
Erie.  For  example,  rock  bass  and  smallmouth  bass 
caught  in  Lake  Erie  in  1971  had  higher  residues  of 
-DDT  than  did  those  caught  in  Lake  Saint  Clair.  The 
reverse  was  true  of  channel  catfish  caLight  the  same 
year.  Dieldrin  residues  were  generally  at  the  trace 
level  in  fish  from  both  bodies  of  water.  Residues  of 
PCBs  were  higher  in  rock  bass,  channel  catfish,  fresh- 
water drum,  yellow  perch,  and  walleye  caught  in  Lake 
Erie  than  those  caught  in  Lake  Saint  Clair  during  the 
same  year.  Smallmouth  bass  were  an  exception;  resi- 
dues in  fish  caught  in  Lake  Saint  Clair  were  higher. 
Frank  et  al.  reported  that  the  parent  compound  p,p'- 
DDT  was  low  or  absent  from  sediments  in  Lake  Erie 
(5).  In  the  present  study,  p.p'-DDT  was  not  found 
in  many  fish  caught  in  Lake  Erie. 

Sediments  collected  from  the  western  basin  of  Lake 
Erie  contained  -DDT  and  PCB  residues  two  to  three 
times  higher  than  did  sediments  in  either  the  central 
or  eastern  basins  (5).  Differences  in  residues  among 
the  same  species  caught  during  the  same  year  in  all 
three  basins  were  not  apparent. 

FISH  RESIDUES 

Residues  of  -DDT  were  considerably  higher  in  1971 
than  those  reported  by  Reinke  et  al.  in  Lake  Saint  Clair 
in  1970  (13).  :SDDT  and  dieldrin  residues  in  13 
species  of  fish  caught  in  1965-68  in  Lake  Erie  (//) 
were  two  to  nine  times  higher  than  those  in  the  same 
species  caught  in  1968  in  the  present  study.  Samples 
of  gizzard  shad  in  the  two  studies  were  similar  (0.50 
ppm  and  0.32  ppm,  respectively),  but  yellow  perch 
samples  were  different  (0.9  ppm  and  0.1  ppm,  re- 
spectively). 

Reinke  et  al.  (13)  reported  on  2DDT  and  dieldrin 
residues  in  six  species  of  fish  from  Canadian  waters 
of  Lake  Erie  in  1970  which  were  1.5-10  times  higher 
than  those  in  similar  species  reported  herein.  2DDT 
residues  in  alewife  were  similar  for  the  two  studies 
(0.34  ppm  and  0.24  ppm,  respectively),  but  residues 
in  freshwater  drum  and  yellow  perch  were  an  order 
of  magnitude  different. 

The  site  of  catch  can  have  a  significant  bearing  on  the 
contaminant  residue  level  (4).  In  fish  of  the  same 
species,  -DDT  and  dieldrin  residues  were  10-15  times 
higher  in  fish  caught  in  streams  than  in  those  caught 
in  the  lakes.  Bluegill  (Lepomis  macrochirus),  brown 
bullhead  (Ictaliirus  nebiilosus),  pumpkinseed  (Lepomis 
gibhosiis),  and  rock  bass  all  exhibited  -DDT  and  diel- 
drin residues  an  order  of  magnitude  higher  in  fish 
from  creeks  draining  the  tobacco  belt  of  Ontario  than 
in  fish  caught  in  Long  Point  Bay,  Lake  Erie  (4). 

79 


Residues  of  i:DDT.  dieldrin.  and  PCBs  reported  by 
Carr  et  al.  (2)  in  fish  caught  in  1970-71  correspond 
more  closely  with  the  residue  levels  reported  in  the 
present  study,  especially  in  the  six  species  common 
to  both  surveys. 

Residues  of  -DDT  in  coho  salmon  caught  in  1970 
during  the  present  study  correspond  with  those  re- 
ported by  Reinert  and  Bergman  (12)  for  the  same 
species  caught  in  1969.  Coho  salmon  (1970)  weighing 
2.0  kg  contained  2.2  ppm  -DDT;  coho  salmon  (  1969) 
weighing  2.2  kg  had  2.8  ppm  i:DDT. 

•Suns  and  Rees  documented  residues  in  spottail  shiners 
from  both  the  western  and  the  eastern  basins  of  Lake 
Erie  (/.'').  -DDT  and  dieldrin  levels  in  spottail  shiners 
from  the  western  basin  reported  in  the  present  study 
are  similar  to  those  of  Suns  and  Rees  (15),  but  PCB 
residues  are  lower  by  an  order  of  magnitude.  Emerald 
shiners  caught  close  to  the  same  location,  however, 
contained  similar  PCB  levels  (0,6  ppm).  Suns  and 
Rees  reported  that  spottail  shiner  are  good  indicators  of 
specific  site  effluents  of  PCBs  (15). 

Acknowledgment 

Thanks  are  extended  to  the  field  staft'  of  the  Ontario 
Ministry  of  Natural  Resources,  in  particular  to  D,  Mac- 
I.ennan,  G,  Teleki,  J,  Paine,  and  R.  Shelton,  for 
obtaining  fish  for  this  study.  Authors  thank  members 
of  the  Provincial  Pesticide  Residue  Testing  Laboratory, 
particularly  J.  Stanek  and  Y.  P.  Lo,  for  carrying  out 
sample  preparation  and  extraction. 


LITERATURE  CITED 

(/)  Aniciicun  Fisheries  Sociciv,  (  (tiiuniltcc  on  Names  of 
Fishes.  1970.  A  list  of  common  and  scientific  names 
of  fish  from  the  United  Slates  and  Canada  (3rd  ed.). 
Am.  Fish.  Soc,  Spec,  Pubi,  6.  Washington.  DC.  150  pp. 

(2)  Carr.  R.  I...  C.  E.  FiiislerwtilJer.  and  M.  J.  Schibi. 
1972.  Chemical  residues  in  Lake  Erie  fish— 1 970-7 1 . 
Pestic,  Monit,  J,  6(  I  )  :23-2fi, 

(3)  Frank,  R..  A.  E.  Armslroni;.  R.  C.  lioelens.  H.  E. 
liraim.  and  C.  W.  Douglas.    1974.    Organochlorine  in- 


secticide residues  in  sediment  and  lish  tissues.  Ontario, 
Canada.    Pestic.  Monit.  J.  7(3  4) :  165-180. 

(4)  Frank.  R.,  K.  Monlgoinery,  H.  E.  Briiiin.  A.  H.  Berst, 
and  K.  Lofliis.  1974.  DDT  and  dieldrin  in  watersheds 
draining  the  tobacco  belt  of  soulhcrn  Ontario.  Pestic. 
Monit.  J.  X(3):  184-201. 

(.^)  Frank.  R..  R.  L.  Thomas.  M.  HoUlrinel.  A.  L.  W. 
Kemp.  //.  E.  Braan.  and  J.  M .  Jaqnel.  1977.  Organo- 
chlorine insecticides  and  PCBs  in  sediments  of  Lake 
St.  Clair  1970  and  1974  and  Lake  Erie  1971.  Sci.  Total 
Environ.  8(3):205-227. 

(!'))  Holdrinet.  M.  1974.  Determination  and  confirmation 
of  hexachlorobenzene  in  fatty  samples  in  the  presence 
of  other  halogenated  hydrocarbon  pesticides  and  PCBs. 
J.  Assoc.  Otr.  Anal.  Cliem.    57(  3  )  :58()-584. 

(7)  Kelso.  J.  R.  M..  and  R.  Frank.  1974.  Organochlorine 
residues,  mercury,  copper,  and  cadmium  in  yellow 
perch,  white  bass,  and  smallmouth  bass.  Long  Point 
Bay,  Lake  Erie.   Trans.  Am.  Fish.  Soc.  103(3):577. 

(A')  Laniilois.  E.  B..  A.  R.  Slemp.  and  B.  J.  Liska.  1964. 
Analysis  of  animal  food  products  for  chlorinated  in- 
secticides.   J.  Milk  Food  Technol.    27(7)  ::02-204. 

(9)  A/(7('A,  J.  R.  It  .,  and  (  .  R.  Harris.  1971.  Insecticide 
residues  in  a  stream  and  a  controlled  drainage  system 
in  agricultural  areas  of  southwestern  Ontario,  1970. 
Pestic.  Monit.  J.  5(  3  ) -.289-294. 

{10)  Miles.  J.  R.  W..  and  C.  R.  Harris.  1973.  Organo- 
chlorine insecticide  residues  in  streams  draining  agri- 
cultural, urban-agricultural,  and  resort  areas  of  On- 
tario, Canada— 1971,    Pestic.  Monit.  J.  6(  4  )  :363-368. 

(  //  )  Reineri,  R.  E.  1970.  Pesticide  concentrations  in  Great 
Lakes  fish.    Pestic.  Monit.  J.  3(4 )  :233-24(). 

(12)  Reinert.  R.  E..  and  H.  L.  Bergman.  1974.  Residues 
of  DDT  in  lake  trout  iSalvelinus  namaycush)  and 
coho  salmon  (Oneorlniuiuis  kisalch)  from  the  Great 
Lakes.    J.  Fish.  Res.  Board  Can.  31  (2) :  191-199. 

(13)  Reinke.  J..  J.  F.  Ulhe.  and  D.  Jamieson.  1972.  Or- 
ganochlorine pesticide  residues  in  commercially  caught 
fish  in  Canada— 1970.   Pestic.  Monit.  J.  6(l):43-49. 

(14)  Reynolds,  L.  M.  1971.  Pesticide  residue  analysis  in 
the  presence  of  polychlorinated  biphenyls  (PCBs). 
Residue  Rev,  34:27-57, 

(Z.'))  Sans,  R.,  and  G.  Rees.  1975.  Chlorinated  hydrocar- 
bon residues  from  selected  sites  on  Lakes  Ontario,  Erie, 
and  St.  Clair,  1975.  Ontario  Ministry  of  the  Environ- 
ment, Parliament  Buildings,  Queen's  Park,  Toronto, 
Ontario, 

(16)  Thomas.  R.  L..  J.  M.  Jaqnel,  A.  L.  W .  Kemp,  and 
C.  F.  M.  Lewis.  1976.  Surficial  sediment  of  Lake 
Erie.   J.  Fish.  Res.  Board  Can.  33(3)  :385-403. 


80 


Pesticides  Monitoring  Journal 


Organochlorine  Residues  in  Aquatic  Environments  in  Iran,  1974 

A.  Sodergren,'  R.  Djirsarai,'  M.  Gharibzadeh,=  and  A.  Moinpoiir  = 


ABSTRACT 

Organochlorine  pesticide  residues  in  various  organisms  from 
different  aquatic  ecosystems  in  Iran  were  investigated  in 
spring  1974.  DDT  levels  were  high  in  fish  taken  from  two 
rivers  in  southern  Iran,  whereas  low  levels  were  detected  in 
samples  obtained  from  a  freshwater  lake  in  the  same  area. 
Fish  from  two  of  the  reservoirs  supplying  Tehran  with  po- 
table water  contained  moderate  levels  of  DDT.  The  low 
residue  level  in  pike  collected  in  the  Bandar-Pahlavi  Mordab 
in  northwest  Iran  indicates  that  only  a  small  amount  of  or- 
ganochlorine pesticides  used  in  this  area  enters  the  pelagic 
food  chain. 

Sturgeon  collected  at  different  places  in  the  Caspian  Sea 
showed  similar  accumulations  of  DDT  in  the  muscles  and  in 
the  eggs.  Polychlorinated  biphenyls  (PCBs)  were  detected 
only  in  samples  of  sediment  from  the  drainage  systems  in 
Tehran. 

Introduction 

Although  reports  on  the  widespread  distribution  of  or- 
ganochlorine pesticide  residues  in  the  global  ecosystem 
are  increasing  (4,  5,  cS,  10,  II.  17).  very  little  is  known 
of  their  occurrence,  distribution,  effects,  and  ecological 
significance  in  many  developing  countries.  Because  large 
quantities  of  pesticides  are  used  in  such  countries  for 
agriculture  and  in  vector  control  programs,  information 
is  needed  to  evaluate  the  full  effects  and  benefits  of 
pesticidal  applications. 

Iran  imported  about  2,720  tons/year  of  organochlorine 
pesticides  during  1966-75;  DDT  was  the  main  import 
(Table  1).  Consumption  increased  considerably  during 
that  period,  and  the  amount  of  DDT  compounds  im- 
ported during  1974-75  was  about  10  times  that  im- 
ported in  1966-67.  Far-reaching  ecological  implications 
may  be  foreseen  regarding  the  stability  of  the  pesticides 
and  their  readiness  to  accumulate  in  food  chains,  espe- 
cially in  areas  subjected  to  regular,  intense  applications. 

During  1970-72,  Higgins  [3]  analyzed  various  samples 
from  the  Caspian  Sea  for  DDT  and  heavy  metals.   Hash- 


emy-Tonkabony  and  Asadi  Langaroodi  (2)  studied  or- 
ganochlorine pesticide  residues  in  14  species  of  fish  from 
the  Caspian  Sea.  The  levels  found  by  Higgins  were  not 
regarded  as  hazardous,  but  a  closer  study  of  the  occur- 
rence, distribution,  and  possible  effects  of  these  pesti- 
cides in  selected  biota  was  recommended. 

The  purpose  of  the  present  study  was  to  monitor  certain 
areas  in  Iran  to  evaluate  the  level  of  contamination  and 
its  signific:ince. 

Substances  Investigated 

Samples  were  analyzed  for  benzene  hexachloride  (BHC), 
lindane,  aldrin,  dieldrin,  DDT,  and  polychlorinated  bi- 
phenyls (PCBs).  All  e.xcept  PCBs  are  widely  used  in 
Iran  as  insecticides. 

The  form  of  DDT  most  used  in  pesticide  formulations 
contains  approximately  70  percent  p.p'-DDT  and  20  per- 
cent o.p'-DDT:  the  remaining  10  percent  contains  at 
least  seven  different  substances  (1 ).  Therefore,  it  is  as- 
sumed that  DDT  enters  the  environment  mainly  as  p,p'- 
DDT  or  o.p'-DDT.  In  a  study  of  the  distribution  of 
DDT  and  its  metabolites  in  the  environment,  the  pattern 
of  degradation  may  be  used  to  evaluate  DDT  input  to 
the  ecosystem. 

PCBs  include  at  least  50  different  compounds,  homologs, 
or  isomers.    They  are  not  spread  as  pesticides,  but  are 


TABLE   1.     Amount  of  chlorinated  hydrocarbons  imported 
to  Iran,  1966-75' 


TOTAl 

Chlorinated 

DDT  Compounds, 

Year 

Hydrocarbons, 

Tons 

Tons 

1966-67 

1005 

514 

1967-68 

850 

585 

1968-69 

2137 

1214 

1969-70 

1799 

1168 

1970-71 

1965 

1142 

1971-72 

3347 

2967 

1972-73 

1247 

517 

1973-74 

5841 

3620 

1974-75 

6291 

5786 

^Present  address:  Institute  of  Limnology,  Univeisity  of  Lund,  Sweden. 
-Department  of  the  Environment,  P.O.  Box  1430,  Tehran,  Iran. 


1  SOURCE:    Department  of  the  Environment  and  the  Plant  Protection 
Department.  Tehran,  Iran. 


Vol.  12,  No.  2,  September  1978 


81 


used  in  industry  as  hcat-lranstcr  media,  lubricants,  waxes, 
and  synthetic  resins  to  improve  chemical  resistance,  ad- 
hesiveness, and  llexihility  (9).  The  sources  of  PCBs  and 
their  modes  of  transport  into  the  environment  are  poorly 
understood. 

Materials  and  Methods 

SAMPLING 

Samples  of  various  organisms  collected  in  spring  1974 
were  frozen  and  brought  to  the  laboratory  in  Tehran. 
Sturgeon  and  their  eggs  were  sampled  at  three  places 
along  the  Iranian  Caspian  Sea  coast.  Birds  and  fish  from 
Parishan  Lake  and  the  Shapour  and  Kupor  Rivers,  situ- 
ated in  the  Shiraz  area  in  southern  Iran,  were  sampled. 
Fish  from  water  reservoirs  near  Tehran  were  also  ana- 
lyzed, as  well  as  pike  from  the  Bandar  Pahlavi  region, 
300  km  northwest  of  Tehran  (Figure  1  ). 

From  sturgeon,  a  section  of  the  dorsal  musculature  just 
behind  the  gills  was  excised.  The  skin  was  removed,  and 
the  sample  was  wrapped  in  aluminum  foil  and  frozen 


!•  Bondor  Pohlovi  (sturgeon) 
2   Babulsor  (sturgeon) 
3.Mtonkaleh   ond   Tozzc   Abed 
(sturgeon) 

4.  Bandor   Pohlaoi   Mordob    (pike) 

5.  Porishon  Lake,  Shopour  and 

Kupor  Rivers    (fish  and    birds) 


FIGURE    I.    Locatiun  of  .\ciiiiplint;  circus  in  Iriin 


until  processed.  The  sturgeon  eggs  were  removed  and 
frozen  in  a  similar  manner.  From  other  fish,  a  section 
of  the  lateral  body  muscle  from  the  left  side  of  the  fish, 
anterior  to  the  anal  openings,  was  taken  for  analysis. 
From  the  birds,  the  breast  muscle  was  sampled. 

ANALYTICAL   METHODS 

Organochlorine  residues  were  extracted,  cleaned,  and 
separated  and  quantitated  by  gas  chromatography  by  the 
method  of  Sodergren  (12). 

Samples  (1-3  g)  were  homogenized  in  a  1:1  solution  of 
acetone-hexane.  After  acetone  was  removed,  the  hexane 
extract  was  evaporated  to  1  ml  and  divided  into  thirds 
for  subsequent  cleanup  and  fat  determination. 

Two  cleanup  processes,  one  acidic  and  one  involving 
basic  hydrolysis,  were  performed  simultaneously  for  each 
sample.  The  compounds  were  chemically  derivatized, 
and  the  conversion  products  were  used  to  confirm  the 
identity  of  the  original  compounds.  p.p'-DDT  and 
p.p'-TGE  were  treated  with  potassium  hydroxide  and 
quantitatively  converted  to  p.p'-DDE  and  p,p'-DDM\J 
1 1  -chloro-2.2-bis(/)-chlorophenylcthylene)],  respectively. 
In  the  acidic  treatment,  dieldrin  is  degraded  but  is  re- 
covered in  the  potassium  hydroxide-treated  extract.  On 
the  other  hand,  lindane  and  benzene  hexachloride  (BHC) 
are  lost  in  the  KOH  procedure,  but  are  recovered  in  the 
acidic  treatment.   Neither  treatment  atTects  the  PCBs. 

Two  hundred  m1  of  the  extract  was  taken  for  gravimetric 
determination  of  extractable  lipids  in  the  sample. 

The  hexane  extracts  were  analyzed  by  gas-liquid  chroma- 
tography on  a  Model  2700  Varian  Aerograph  equipped 
with  a  Hoechst  Oxysorb  filtering  unit.  A  modified 
electron-capture  detector  was  used  (13).  The  system,  all 
glass  from  the  injector  to  the  detector,  diminishes  the 
risk  of  pyrolysis.  Sensitivity  was  also  increased  over  that 
of  conventional  Kovar  cells.  Instrument  parameters  and 
operating  conditions  follow. 


205  cm  lony  >'  1.5  mm  ID  glass,  packed  with 
a  .1:1  mixture  of  4  percent  SF-96  and  8  per- 
cent QF-I  on  U)0-120-mesh  Chromosorb  W 
AW/DMCS 

up[>ro\imalelv  1700  theoretical  plates  for  p.p'- 
DDT 


Resolution: 


Tcmpci  atures: 


Carrier  ga.s: 


column  I85°C 

injector  225°C 

detector  220°C 

niIrot;en  flowing  at  25  ml/minute 


The  quantity  of  organochlorines  in  the  samples  was  esti- 
mated by  comparing  peak  heights  of  aliquots  of  purified 
extracts  with  peak  heights  of  a  known  quantity  of  a 
standard  solution.  The  results  were  not  corrected  for 
recovery.  For  the  PCBs,  a  commercially  available  mix- 
ture, Clophen  A50,  was  used  as  a  reference. 


X2 


Pesticides  Monitoring  Journal 


TABLE  2.     OrganoMorinc  residues  in  organisms  from  Parishan  Lake,  Kupor  and  Slia/ipour  Rivers — 1974 


Species 


Parishan  Lake  Barhus  sp. 


Coot,  Fulica  atra 
Kupor  River  Barbiis  sp. 


Shahpour  River  Varichorhinus  sp. 

Barbia  sp. 


Fat, 


Fresh  Weight,  ng/g 


DDE 


0.4 

7 

0.4 

7 

0.3 

3 

2.4 

37 

0,8 

1425 

0.4 

1161 

0.1 

251 

2.5 

3030 

0.5 

250 

TDE 


ND 
ND 
ND 
ND 
ND 
261 

30 
118 

18 


Fat  Weight,  mg/ko 


DDT   V  DDT 


DDE 


TDE 


ND 

7 

1.7 

ND 

7 

1.8 

ND 

3 

1.2 

ND 

37 

1.6 

180 

1605 

174.0 

241 

1662 

72.9 

39 

320 

482.3 

910 

4058 

121.2 

30 

298 

50.8 

ND 
ND 

ND 
ND 

ND 

16.4 

57.6 

4.7 

3.7 


DDT 


2  DDT 


ND 

1.7 

ND 

1.8 

ND 

1.2 

ND 

1.6 

22.0 

196.0 

15.1 

104.4 

74.9 

614.8 

36.4 

162.3 

6.1 

60.6 

NOTE:  ND  =  not  delected. 


Results 

Only  small  amounts  of  /),/;'-DDE  were  detected  in  fish 
from  Parishan  Lake  and  in  a  coot  which  was  foimd  dead 
(Table  2).  Fish  obtained  from  the  Shahpour  and  Kupor 
Rivers  contained  appreciable  amounts  of  DDT  and  its 
metabolites  DDE  and  TDE  (Table  2).  The  Shahpour 
and  Kupor  Rivers  flow  through  malaria-infected  areas, 
and  DDT  is  used  for  indoor  spraying. 

In  fish  and  fish  eggs  from  two  reservoirs  supplying  Teh- 
ran with  potable  water,  various  amounts  of  DDT  were 
detected  (Tables  3,  4).  The  levels  in  cyprinide  fish 
(Varichorhinus  nikoiskii)  from  the  Latian  reservoir  far 
exceeded  those  found  in  fish  from  the  Karadj  reservoir. 
The  main  metabolite  accumulated  was  /).p'-DDE. 


In  samples  from  the  Latian  reservoir,  the  levels  of  DDT 
compoimds  in  rainbow  trout  (Saliiio  gairdneri)  were  sim- 
ilar to  those  found  in  V.  nikolskii.  The  Varichorhinus 
species  has  a  shorter  food  chain  than  the  Salnio  species, 
resulting  in  a  deviation  from  the  usual  pattern  of  bio- 
magnification  of  persistent  compounds. 

Low  levels  of  DDT  were  found  in  pike  (Esox  iucius) 
collected  from  the  Bandar  Pahlavi  Mordab  (Table  5). 
Again,  the  principal  metabolite  found  was  p,p'-DDE. 
The  presence  of  only  small  proportions  of  p.p'-DDT 
suggests  that  the  accumulation  occurred  over  consider- 
able time,  and  that  the  input  is  not  recent. 

In  May  1974,  more  than  100  samples  of  sturgeon  and 
their  eggs  were  collected  from  two  species  (Accipencer 


TABLE  3.     Or^anochlorine  residues  in  fish  and  fish  eggs  from  the  Latian  Dam,  1974 


Fat. 

Fresh  Weight, 

ng/g 

Fat  Weight, 

mg/kg 

Species 

DDE 

TDE 

DDT 

2  DDT 

DDE 

TDE 

DDT 

2  DDT 

Salmo  gairdneri 

0.7 

13 

-) 

13 

28 

1.6 

0.3 

1.6 

3.2 

0.2 

650 

ND 

ND 

650 

88 

ND 

ND 

88 

1.4 

97 

ND 

ND 

97 

41 

ND 

ND 

41 

1.0 

340 

ND 

ND 

340 

24 

ND 

ND 

24 

2.4 

75 

ND 

ND 

75 

7.9 

ND 

ND 

7.9 

Varichorhinus  nikolskii 

1.9 

178 

81 

8 

267 

9.5 

4.3 

0.4 

14.2 

2.2 

245 

17 

ND 

262 

11 

0.8 

ND 

11.8 

0.7 

92 

10 

ND 

102 

10.6 

1.2 

ND 

11.8 

1.7 

129 

ND 

10 

139 

7.6 

0 

0.6 

8.2 

1.4 

77 

ND 

ND 

77 

5.7 

ND 

ND 

5.7 

Alhitrnoides  hipanlattir 

0.8 

185 

19 

ND 

204 

24.2 

2.5 

ND 

26.7 

0.5 

410 

26 

ND 

436 

262.7 

16.4 

ND 

279.1 

Coregontts  sp. 

0.8 

13 

2 

13 

28 

1.6 

0.3 

1.6 

3.5 

Eggs  from  5.  gairdneri^ 

1.6 

235 

21 

ND 

256 

14.3 

1.3 

ND 

15.6 

NOTE:   ND— not  detected. 
'Pooled  sample  from  six  indiv 


iduals 


TABLE  4.     Organochlorine  residues  in  cyprinide,  Varichorhinus  nikolskii,  from  Karadi  Reservoir,  1974 


Fat, 

Fresh  Weight,  ng 

/G 

Fat  Weight,  mg/kg 

% 

DDE 

TDE 

DDT 

2  DDT 

DDE 

TDE 

DDT 

2  DDT 

0  3 

11 

3 

ND 

14 

4.7 

1.1 

ND 

5.8 

0.6 

23 

ND 

ND 

23 

3.8 

ND 

ND 

3.8 

0  6 

n 

ND 

ND 

11 

1.7 

ND 

ND 

1.7 

0  2 

g 

ND 

ND 

8 

3.7 

ND 

ND 

3.7 

0.9 

22 

ND 

ND 

22 

2.4 

ND 

ND 

2.4 

NOTE;  ND=not  delected. 


Vol.  12,  No.  2,  September  1978 


83 


TABLE  5.     Organochlorine  leshliic.s  in  pike,  Esox  lucius,  from  Bandar  Palilavi  Monlab,  1974 


Age, 

Fat. 

% 

Fresh  Weight,  nc/g 

Fat  Weight,  mg/kg 

Years 

DDE 

TDE 

DDT 

SDDT 

DDE 

TDE 

DDT 

SDDT 

3+ 

0.7 

3 

ND 

ND 

3 

0.4 

ND 

ND 

0.4 

3  + 

I.I 

6 

ND 

ND 

6 

0.6 

ND 

ND 

0.6 

3  + 

0.6 

5 

ND 

ND 

5 

1.2 

ND 

ND 

1.2 

3-r 

0.7 

17 

ND 

ND 

17 

2.3 

ND 

ND 

2.3 

3+ 

0.6 

3 

ND 

ND 

3 

0.6 

ND 

ND 

0.6 

3+ 

0.5 

9 

ND 

ND 

9 

2.0 

ND 

ND 

2.0 

3  + 

0.7 

5 

ND 

ND 

5 

0.7 

ND 

ND 

0.7 

3  + 

0.5 

8 

ND 

ND 

8 

1.3 

ND 

ND 

1.3 

3+ 

0.5 

2 

ND 

ND 

2 

0.4 

ND 

ND 

0.4 

3+ 

0.4 

4 

ND 

ND 

4 

0.9 

ND 

ND 

0.9 

NOTE:  ND=not  detected. 


TABLE  6.     Ori;anochtorine  residues  in  sliiriieon,  Accipcnser  stelliitiis,  from  Miankaleli 
and  Tazre  Alnid  at  llie  Caspian  Sea.  1974 


Weight, 

KG 

Fat. 

Fresh  Weight, 

ng/g 

Fat 

Weight. 

mg/kg 

Sample 

Lindane 

DDE 

TDE 

DDT 

:SDDT 

Lindane 

DDE 

TDE 

DDT 

SDDT 

Muscle 

9.5 

2.6 

4 

14 

7 

21 

0.2 

0.5 

0.3 

0.8 

Eggs 

17.5 

13 

67 

16 

8 

91 

0.1 

0.4 

0.1 

0.1 

0.6 

Muscle 

9.0 

3.0 

2 

16 

4 

4 

24 

0.1 

0.5 

0.1 

0.1 

0.7 

Eggs 

17.3 

ND 

84 

31 

18 

133 

ND 

0.5 

0.2 

0.1 

0.8 

Muscle 

7.0 

6.6 

ND 

276 

46 

149 

471 

ND 

4.2 

0.7 

2,3 

7.2 

Eggs 

16.1 

23 

494 

484 

224 

1202 

0.2 

3.1 

3.0 

1.4 

7.5 

Muscle 

8.0 

4.8 

7 

96 

19 

44 

159 

0.2 

2.0 

0.4 

0.9 

3.3 

Eggs 

19.4 

26 

471 

54 

141 

666 

0.2 

2.4 

0.3 

0.7 

3.4 

Muscle 

8.5 

2.0 

ND 

25 

7 

10 

42 

ND 

1.2 

0.4 

0.5 

2.1 

Eggs 

16.6 

15 

193 

37 

55 

285 

0.2 

1.2 

0.2 

0.3 

1.7 

Muscle 

10.5 

3.1 

4 

208 

97 

126 

431 

0.2 

6.7 

3.1 

4.1 

13.9 

Eggs 

16.6 

17 

996 

125 

662 

1783 

0.1 

6.0 

0.8 

4,0 

10.8 

Muscle 

9.5 

4.1 

5 

27 

14 

10 

51 

0.1 

0.7 

0.3 

0.3 

1.3 

Eggs 

16.9 

17 

79 

38 

27 

144 

0.1 

0.5 

0.2 

U.2 

0.9 

Muscle 

8.0 

5.0 

6 

26 

19 

11 

56 

0.1 

0.5 

0.4 

0.2 

1.1 

Eggs 

19.6 

23 

79 

44 

34 

157 

0.2 

0.4 

U.2 

0.2 

0.8 

Muscle 

9.0 

6.0 

7 

92 

19 

46 

157 

0.2 

1.5 

0.3 

0.8 

2.6 

Eggs 

14.3 

13 

204 

38 

77 

319 

U.l 

1.4 

0.3 

0.5 

2.2 

Muscle 

8.5 

2.5 

ND 

55 

12 

20 

87 

ND 

T    T 

0.5 

0.8 

3.5 

Eggs 

14.0 

16 

300 

48 

114 

462 

0.2 

2.1 

0.3 

0.8 

3.2 

NOTE:   ND  =  not  detected. 


guldensiadtl  and  A.  xtellatus)  from  three  diflferent  places 
along  Ihe  Iranian  coast  of  the  Caspian  .Sea  (Figure  1). 
From  these,  20  samples  o{  A.  steUatiis  of  similar  size  and 
weight  were  analyzed  (Table  6).  Fat  content  in  the 
muscle  was  2. ()-(>. 6  percent;  corresponding  range  for  the 
eggs  was  12.0-19.6  percent.  Calculated  on  the  extract- 
able  lipid  fraction,  the  average  levels  of  DDT  in  muscle 
and  egg  were  3.7  ppm  and  3.2  ppm,  respectively.  BHC 
and  lindane  were  detected,  but  no  PCBs  were  found. 

No  significant  dilTercnces  in  the  distribution  of  DDT  and 
its  metabolites  in  egg  and  muscle  were  revealed  (Table  7). 
The  range  of  DDT  found  in  muscles  of  four  species  of 
sturgeon  sampled  at  Babolsar  in  March  1974  was  1.0- 
13.1  ppm  (Table  8).  For  A.  Mellatiis.  the  mean  level  of 
DDT  was  4.7  ppm. 

The  only  samples  in  which  PCBs  were  detected  came 
from  Tehran.  .Sediment  from  ihe  drainage  system  along 
Ihe  streets  contained  appreciable  amounts  of  DDT  and 
PCBs  (Table  9). 


TABLE  7.     Distrilnition  of  DDT  and  its  metabolites  in 
inusele  and  egi^s  of  sturgeon,  Accipenser  stellatus — 1974 


Sample 


Muscle 


Mc;in 
Hubs 


% 
DDE 


Mc.in 


72 
58 
61 
57 
48 
54 
45 
58 
63 
58 

80 
82 
41 
71 
71 
56 
56 
50 
64 
66 
64 


TDE 


38 
14 
10 
12 
19 
22 
23 
36 
12 
14 
20 

20 
25 
40 

9 
12 

7 
22 
25 
14 

9 
16 


% 
DDT 


14 
32 
27 
24 
30 
23 
19 
30 
23 
22 


13 
19 
20 

17 
37 
22 
25 
22 
25 
20 


84 


Pesticides  Monitoking  Journ.\l 


TABLE 

8.     Oi 

ganocMorinc 

residues  in  sturgeon 

from  Balyol 

sar  at  the 

Caspian  Sea 

797-^ 

Fat, 

% 

Fresh  Weight, 

ng/g 

Fat  Weight,  mg/kg 

Species 

Lindane 

DDE 

TDE 

DDT 

2  DDT 

Lindane 

DDE 

TDE 

DDT 

2  DDT 

Accipenser 

2.6 

1 

95 

11 

56 

162 

0.1 

3.5 

0.4 

2.1 

6.0 

guldenstadti 

1.7 

ND 

41 

ND 

15 

56 

ND 

2.5 

ND 

0.9 

3.4 

1.5 

2 

18 

ND 

7 

25 

0.1 

1.3 

ND 

0.9 

1.8 

0.5 

1 

51 

1 

19 

71 

0.1 

1.1) 

ND 

0.4 

1.4 

2,4 

1 

37 

5 

21 

63 

0.1 

1.5 

0.2 

0.9 

2.6 

2.0 

1 

23 

ND 

1 

24 

0.1 

1.1 

ND 

0.1 

l.I 

3.7 

1 

24 

3 

22 

49 

0.1 

0.6 

0.1 

0.6 

1.2 

2.7 

16 

220 

ND 

142 

362 

0,5 

8.0 

ND 

5.1 

13.1 

4.8 

ND 

106 

10 

85 

201 

ND 

2.2 

0.2 

1.7 

4.1 

A.  stellatus 

1.0 

ND 

12 

ND 

7 

19 

ND 

2.2 

ND 

n.7 

1.9 

1.2 

ND 

84 

3.6 

51 

139 

ND 

6.7 

0.3 

4.1 

11.1 

4.6 

ND 

239 

ND 

119 

368 

ND 

4.9 

ND 

2.5 

7.7 

3.7 

ND 

310 

40 

24U 

59 

ND 

3.9 

0.5 

3.(1 

7.4 

5.7 

9 

141 

2') 

155 

318 

1.1 

2.5 

0.4 

2.7 

5.6 

5.0 

ND 

64 

32 

71 

167 

ND 

1.2 

11.7 

1.3 

3.2 

2.9 

ND 

23 

ND 

18 

41 

ND 

0.8 

ND 

0.6 

1.4 

1U.4 

ND 

242 

ND 

84 

326 

ND 

2.3 

ND 

0.8 

3.1 

0.5 

ND 

15 

ND 

3 

18 

ND 

2.7 

ND 

0.6 

3.3 

1.4 

ND 

56 

ND 

31 

87 

ND 

3.9 

ND 

2.1 

6.0 

A.  nudiventris 

2.9 

1 

27 

2 

8 

37 

U.l 

0.9 

0.1 

(1.3 

1.3 

12.3 

76 

12 

45 

133 

0.6 

0.1 

0.4 

1.0 

2.7 

5 

28 

5 

18 

56 

0.2 

1.1 

0.2 

0.7 

2.0 

Huso  huso 

0.6 

26 

ND 

9 

35 

4.0 

ND 

1.3 

5.4 

NOTE:   ND^not  detected. 


TABLE  9.     Orgaiioehlorine  residues  in  sediment 
from  street  drainage  systems  in  Tehran,  1974 


Wei  Weight,  ng/c 


Street 


SDDT 


PCB 


Karim  Kahn  Zand 

Fisherabad 

ShahAbbas 


85 
112 
35 


138 
155 
ND 


NOTE:  ND^not  detected. 

Discussion 

Fish  are  exposed  to  pesticide  residues  not  only  in  the 
water  but  in  food  and  sediments.  Some  fish  continue  to 
accumulate  residues  over  a  period  of  years.  Therefore, 
the  levels  in  the  fish  may  reflect  their  integrated  history 
of  exposure  and  can  be  used  to  assess  the  degree  of 
pesticide  contamination  in  a  freshwater  ecosystem. 

Food  can  he  a  significant  source  of  residues  if  the  prey 
species  has  had  a  greater  exposure  in  its  physical  envi- 
ronment than  has  its  predator.  However,  biomagnifica- 
tion  of  persistent  residties  does  not  depend  simply  on 
position  in  the  food  chain  but  is  basically  determined  by 
the  rate  at  which  the  residue  is  taken  up  and  eliminated. 
Although  of  limited  statistical  significance,  the  results 
from  the  Latian  reservoir  show  that  despite  a  lower 
trophic  position  the  Varichorhintts  species  acctmuilated 
about  the  same  amount  of  DDT  as  did  the  Saliiio  species. 

DDT  and  its  metabolites  were  the  principal  organo- 
chlorine  residues  detected.  Aldrin  or  dieldrin  was  not 
found,  and  PCBs  occurred  in  significant  quantities  only 
in  samples  collected  in  Tehran. 

Very  high  levels  of  DDT  were  found  in  fish  from  the 
Kupor  and  Shahpour  Rivers  in  southern  Iran.   The  pro- 


portions of  the  DDT  not  metabolized,  12  percent  in 
Kupor  River  samples  and  16  percent  in  Shahpour  River 
samples,  indicate  that  the  input  of  DDT  to  the  rivers  is 
of  recent  origin  and/or  is  still  occurring.  DDT  probably 
originates  from  the  mosquito-spraying  operations  in 
these  areas. 

Only  the  indoors  are  sprayed.  The  results  of  this  study, 
however,  s(.iggest  a  more  direct  contamination.  Inter- 
views with  villagers  indicate  that,  at  several  places,  the 
spraying  equipment  was  cleaned  in  the  rivers  after  spray- 
ing was  completed. 

Very  low  levels  of  residues  were  found  in  organisms 
from  the  Parishan  Lake.  The  levels  are  comparable  to 
those  found  in  areas  subjected  only  to  airborne  contam- 
ination (14).  However,  due  to  the  limited  number  of 
samples  processed  from  Parishan  Lake  and  the  Kupor 
and  Shahpour  Rivers,  the  results  are  only  tentative.  The 
distribution  within  these  areas  requires  further  studies. 
However,  the  high  levels  found  in  the  Kupor  and  Shah- 
pour Rivers  may  adversely  afl'ect  reproduction  of  certain 
fish  species. 

Comparison  of  DDT  levels  in  cyprinide  fish  from  the 
Latian  and  Karadj  reservoirs  shows  that  the  Latian 
reservoir  is  more  e.xposed  to  pesticide  contamination 
than  is  the  Karadj  reservoir. 

Pike  collected  from  Bandar  Pahlavi  Mordab  show  re- 
markably low  levels  of  DDT  in  the  muscles.  The  pike  is 
a  predatory  fish  and  usually  accumulates  persistent  sub- 
stances readily.  DDT  has  been  used  in  the  area  for 
agriculture  and  in  vector  control  programs.  However, 
due  to  rimolT,  the  amount  of  clay  and  soil  particles  in 
the  water  is  extremely  high.    So,  most  DDT  probably 


Vol.  12,  No.  2,  September  1978 


85 


enters  the  lake  attaehed  to  these  partielcs,  settles  to  the 
bottom,  and  is  not  directly  incorporated  in  the  pelagic 
food  chain. 

The  amounts  of  DDT  found  in  the  muscle  and  eggs  of 
sturgeon  from  the  Caspian  Sea  were  similar  to  those  re- 
ported by  Higgins  (3)  but  higher  than  those  found  by 
Hashemy-Tonkabony  and  Asadi  Langaroodi  (2). 

The  magnitude  and  pattern  of  accimiulation  of  DDT 
in  sturgeon  muscle  and  eggs  is  closely  related  to  the  fat 
content.  When  calculated  on  a  fat-weight  basis,  the 
amount  accumulated  in  muscle  and  eggs  of  individual 
fish  is  not  significantly  different.  Thus,  the  accumulation 
of  DDT  and  its  metabolites  in  muscle  and  eggs  of  the 
sturgeon  seems  to  be  of  a  similar  magnitude. 

It  is  well  known  that  even  if  the  DDT  accumulated  by 
fish  does  not  harm  the  individual,  it  might  be  disastrous 
for  the  population.  This  is  because  DDT  may,  even  at 
low  levels,  interfere  with  the  reproduction  of  certain 
species  16).  Present  levels  of  DDT  found  in  the  sturgeon 
eggs  may  be  a  threat  to  the  sturgeon  population.  How- 
ever, different  species  respond  differently  to  the  influence 
of  accumulated  compounds.  Lack  of  experimental  infor- 
mation on  the  sensitivity  of  sturgeon  to  organochlorine 
pesticide  residues  make  it  impossible  to  evaluate  the 
present  threat. 

The  occurrence  of  PCBs  in  various  components  of  the 
global  ecosystem  is  well  documented  (4.  5.  7.  10,  11). 
In  Europe,  and  especially  in  industrialized  areas,  PCBs 
are  frequently  found  in  the  biota  and  in  airborne  fallout 
115.  16). 

In  Iran,  however,  there  is  not  yet  any  sign  of  a  wide- 
spread contamination  by  PCBs  as  indicated  by  the  ab- 
sence of  these  compounds  in  the  organisms  analyzed. 
PCBs  have  only  been  found  in  samples  collected  in 
Tehran,  presumably  originating  from  local  runoff.  Strict 
regulation  of  the  PCBs  and  PCB-containing  products 
might  prevent  their  accumulation  in  food  chains  and 
reduce  their  impact  on  the  environment. 

Acknowledgment 

Authors  thank  Eskandar  Firouz,  Director  of  Department 
of  the  Environment,  for  valuable  comments  on  the 
manuscript  and  for  permission  to  publish  the  results  of 
the  investigation.  Thanks  are  also  due  to  M.  Taghi 
Farvar  who  initiated  the  study  and  to  Kenneth  and 
Sarah  Kimball  and  Jack  Boetcher  who  participated  in 
various  phases  of  the  field  work. 


LITERATURE  CITED 

(/)  Hcillcr.  H.  L..  cl  (tl.  1945.  The  chemical  composition 
of  technical  DDT.  J.  Am.  Chem.  Soc.  67(9):  1591- 
1602. 

(2)  Hashemy-Tonkabony,  S.  £.,  and  F.  Asadi  Lonf;aroodi. 
1976.  Detection  and  determination  of  chlorinated  pes- 
ticide residues  in  Caspian  Sea  fish  by  gas-liquid  chro- 
matography.  Environ.  Res.  12(3)  :275-280. 

(3)  Higgins,  R.  P.  1973.  Survey  of  pesticide  residues  and 
heavy  metals  in  Caspian  Sea  biota  from  Bandar- 
Pahlavie,  Iran.  Mimeo.  1 1  pp..  Office  of  Environ- 
mental Sciences,  Smithsonian  Institution.  Washington, 
DC 

(4)  Holdcn.  A.  V.  1970.  Source  of  polychlorinated  bi- 
phenyl  contamination  in  the  marine  environment. 
Nature  228(5277) :  1220-1221. 

(5)  Jensen,  S.,  A.  G.  Johnels,  M.  Ols.<;on,  and  G.  Otterlind. 
1969.  DDT  and  PCB  in  marine  animals  from  Swedish 
waters.   Nature  224(5216)  :247-25(l. 

(6)  Johnson,  D.  W .  196S.  Pesticides  and  fishes — a  review 
of  selected  literature.  Trans.  Am.  Fish.  Soc.  97(4): 
398-424. 

(7)  Koeinan,  J.  H.,  M.  C.  Ten  Noever  Dc  Braiiw,  R.  H. 
De  Vos.  1969.  Chlorinated  biphenyls  in  fish,  mussels, 
and  birds  from  the  River  Rhine  and  the  Netherlands 
coastal  area.   Nature  221  (5  186) :  1 126-1 128. 

(S)  Kone,  F.  1976.  Global  input  and  trends  of  chemical 
residues  in  the  biosphere.  Environ.  Qual.  Safety 
5:183-196. 

(9)  Monsanto  Companx.  1960.  Monsanto  Co.  Tech.  Bull. 
No.  PL-306,  50  pp! 

(/O)  Rischionf;h,  R.  W.,  L.  dc  Lappe.  1972.  Accumulation 
of  polychlorinated  biphenyls  in  ecosystems.  Environ. 
Health  Perspectives  1. 

(//)  Rischrou^h,  R.  W.,  P.  Ricchc.  D.  B.  Pcakall,  S.  G. 
Herman,  and  M.  N.  Kirven.  196S.  Polychlorinated  bi- 
phenyls in  the  global  ecosystem.  Nature  220(5172): 
1098-1102. 

(12)  Sddcri;ren,  A.  1973.  A  simplified  cleanup  technique  for 
organochlorine  residues  at  the  microliter  level.  Bull. 
Environ.  Contam.  To,xicol.  10(2  ):  I  16-119. 

(/.?)  Sdder.vren,  A.  1972.  A  simplified  electron-capture  de- 
tector. J.  Chromatogr.  71  (3  ):532-533. 

(14)  Siklergrcn.  A.  1973.  Transport,  distribution,  and  deg- 
radation of  organochlorine  residues  in  a  south  Swedish 
lake  ecosystem.   Vatten  2:90-108. 

(/.'')  Sode/^ren,  A.  1972.  Chlorinated  hydrocarbon  residues 
in  airborne  fallout.   Nature  236(5347)  :395-397. 

(/6)  Sodeiiiien.  A.  1975.  Monitoring  DDT  and  PCBs  in 
airborne    fallout.     Environ.    Qual.    Safety    Suppl.    3: 

803-810. 

(17)  IViirsler.  C.  F.  1969.  Chlorinated  hydrocarbon  insecti- 
cides and  world  ecosystem.    Biol.  Conserv.  I:  123-129. 


86 


Pesticides  Monitoring  Journal 


Chlorinated  Hydrocarbon  Pesticide  Residues  in  Pacific  Oysters  (Crassostrea  gigas) 

from  Tasmania,  Australia — 1973 


Colin  Edward  Sumner* 


ABSTRACT 

Pacific  oysters  (Crassostrea  gigas  Tliiinherg)  from  19  sites  in 
Tasmania  were  surveyed  for  pesticide  residues.  All  samples 
were  analyzed  for  dieldrin  and  DDT,  anil  five  samples  were 
analyzed  for  hexaclilorobenzene  (HCB)  and  lindane.  Only 
DDT  was  found  in  all  samples.  Dieldrin  levels  were  high  in 
oysters  from  the  Taniar  River,  hut  were  highest  (0.39  mg/kg 
wet  weight)  in  samples  from  Riiffin's  Bay.  In  contrast,  other 
residue  levels  were  low.  Distribution  of  pesticides  in  Tamar 
River  samples  differed:  dieldrin  cotdd  he  correlated  with  in- 
dustrial uses  upstream  and  DDT  could  be  correlated  with 
low-level  widespread  agricultural  use. 

Introduction 

Pacific  oysters  (Crassostrea  gigas  Thunherg).  imported 
from  Japan  for  cultivation  trials,  successfully  reproduced 
themselves  and  colonized  estuarine  areas  in  the  Tamar 
River,  northern  Tasmania  (75,  16,  17).  They  represent 
the  only  commercial  breeding  stocks  of  Pacific  oysters 
in  Australia,  and  an  oyster  industry  has  evolved  using 
annual  spatfalls.  Stick  and  shell  cultch  are  set  in  Jan- 
uary and  later  relaid  on  growing  areas  around  the  state. 
Oyster  spat  from  the  river  are  also  sold  to  growers  in 
South  Australia  and  are  being  used  in  cultivation  trials 
in  Tongan  saltwater  lagoons  (P.  Dinamani,  Fisheries 
Research  Division,  New  Zealand.  1977.  Personal  com- 
munication). 

Wild  oysters  abound  on  the  shores  of  the  Tamar  River 
within  easy  access  of  the  general  public.  In  contrast, 
oyster  farms  are  located  on  intertidal  mud/ sand  flats 
leased  from  the  state  for  private  use  by  individuals  and 
companies. 

In  February  1973,  dieldrin  and  DDT  residues  in  Tamar 
River  oysters  were  surveyed  to  assess  the  risk  of  spatfall 
failure  resulting  from  pesticide  accumulation  by  adult 
oysters  (3,7,9).  The  results  indicated  that  significant 
levels  of  pesticides  were  present  in  oyster  tissues,  and  a 
complete  survey  of  major  oyster  beds  in  the  Tamar 
River  and  other  oyster-growing  areas  was  commissioned 


'  Present    address:    Tasmanian    Fisheries    Development    Aiittiority.    P.O. 
Box  619F,  Hobart.  Tasmania,  Australia,  7001. 


to  investigate  more  fully  the  risk  of  spatfall  failure  and 
to  establish  pesticide  levels  in  oysters  available  to  the 
general  public. 

Sampling  and  Analytical  Methods 

Oysters  were  collected  from  14  sites  in  the  Tamar  River: 
four  oyster  farms  and  ten  natural  reefs.  Samples  were 
also  taken  from  five  farms  in  other  areas  of  the  state 
(Fig.  1).  Tamar  sampling  sites  were  identical  to  those 
chosen  for  a  heavy  metal  survey  (/).  Samples  of  12 
oysters  were  considered  representative  of  the  local  popu- 
lation (2).  Ages  of  cultivated  oysters  were  noted  and, 
when  available,  year  classes  were  sampled  independently. 

All  samples  were  routinely  screened  for  dieldrin  and 
-DDT  residues.  Five  samples  were  analyzed  also  for 
he.xachlorobenzene  (HCB)  and  lindane.  DDT  here  in- 
ckides  -DDT  resdues  and  /7,/;'-TDE  and  /'.p'-DDE. 
.Analyses  were  performed  at  the  Public  Health  Service 
Analysts  Laboratory,  Hobart,  Tasmania. 

Shucked  undrained  oyster  meats  were  stored  at  —  I8°C, 
in  mason  jars.  Before  analysis,  they  were  homogenized 
in  an  electric  blender.  Oyster  meats  were  combined  with 
a  desiccant,  anhydrous  sodium  sulfate  (1:3,  wet  weight), 
and  alternately  blended  and  chilled  until  smooth  flowing. 
Standard  procedures  were  followed  for  cleaning  high- 
moisture  nonfatty  foods  (18).  Aliquots  were  extracted 
with  acetonitrile  and  were  diluted  with  water  before 
hexane  partitioning.  The  hexane  extract  was  back- 
washed  with  distilled  water  and  filtered  through  a 
Florisil  column. 

The  column  was  packed  with  activated  magnesium 
silicate  and  topped  with  1  cm  of  anhydrous  sodium 
sulfate.  Residues  were  eluted  from  the  column  with 
6  percent  and  15  percent  ethyl  ether  in  petroleum  ether. 
The  6  percent  eluate  was  used  directly  to  determine 
DDT  residues,  HCB,  and  lindane.  The  15  percent  eluate 
was  concentrated  and  subjected  to  additional  cleanup 
through  a  new  Florisil  column. 

Samples  eluted  from  the  Florisil  columns  were  identified 
and   quantitated   by   using  a   Varian   Model    1400   gas 


Vol.  12,  No.  2,  September  1978 


87 


TAMAR  RIVER 


i_V  '^i^'' 


A  ,  Tamar   River 
B  ,  Boomer    Bay 
C. Tata  nna    Bay 
D.  Ralph's    Bay 
E. Simmon 's    Bay 
F.  Gardiner's    B  ay 


FICiURE  1.   Oyster  sampling  sites,  Tcisiuania,  Australia  with 

map  of  Tamar  River  area — 1973  (A:  Tamar  R.:  B.  Boomer 

Bay:  C.   Taruniia   Bay:  D.   Ralph's  Bay:  E.   Simmons   Bay: 

F.  Gardners  Bay) 


chromatograph  equipped  with  an  electron-capture  de- 
tector. Instrument  parameters  and  operating  conditions 
follow. 

Columns:  Pyrcx.  5-ft    X    Vj-inch  diameler,   packed  with 

a  mixture  of  3  percent  UC-200  and  5  percent 
QF-1  on  80-100-mesh  Gas-Chrom  Q 

Temperatures:  detector  200*C 
injector  210°C 
oven  185°C 

Carrier  gas:         nitrogen  flowing  at  40  ml/minute 

Thin-layer  chromatography  was  used  to  check  results 
obtained  by  gas  chromatography  and  to  check  for  possi- 
ble interference  from  the  presence  of  polychlorinated 
biphcnyls  (PCBs).  Samples  fortified  with  1  Mg  of  each 
compound  produced  average  recoveries  of  88  p>ercent 
-DDT,  93  percent  HCB  and  lindane,  and  90  percent 
dieldrin.  All  data  reported  are  corrected  for  recovery. 
The  lower  limit  of  quantitation  was  10  ppb  (10  ^ag/kg); 
values  less  than  this  but  for  positively  identified  peaks 
were  recorded  as  trace. 

Results 

Residue  levels  of  dieldrin,  -DDT,  HCB.  and  lindane  in 
whole  oyster  meats  are  presented  in  Table  1.  Dieldrin 
was  detected  in  all  but  three  samples.  Elevated  levels 
in  oysters  from  the  Tamar  River  were  reflected  in  a 
high  of  0.39  Mg/g  in  the  Ruflins  Bay  sample.  SDDT 
residues  were  positively  identified  from  all  samples  but 
were  of  an  order  of  magnitude  lower  than  dieldrin 
levels,  ranging  from  trace  to  0.06  /ig/g.  Traces  of  HCB 
were  found  only  in  the  Gardners  Bay  oysters,  and  traces 


TABLE   1.     Pesticide  levels  in  Pacific  oysters  (Crassostrea  gigas),  Tasmania,  Australia 


Sampling  Station 

Samplin(,  Date 

AGE,   "\EAR 

No.  Bllked 

Residues,  mg  kg.  Whole  Oyster 

Dieldrin 

ISDDT 

HCB 

Lindane 

TAMAR   RIVER 

1 

Rosevears 

March  1973 

— 

18 

0.20 

0.03 

— 

— 

2 

Swan  Bay 

March  1973 

— 

12 

0.10 

0.02 

— 

— 

3 

Gravelly  Beach 

March  1973 

— 

15 

0.21 

0.01 

— 

— 

4 

Supply  Riveri 

February  1973 

2 

17 

0.20 

0.02 

— 

— 

March   1973 

2 

15 

0.09 

0.01 

— 

— 

5 

Millwood  Jetty 

March   1973 

— 

22 

0.10 

0.02 

— 

— 

6 

Devoit 

March  1973 

— 

12 

0.10 

0.02 

— 

— 

7 

Craigburn 

March   1973 

— 

22 

0.19 

0.01 

— 

— 

8 

Devils  Elbow 

March   1973 

— 

20 

0.10 

0.01 

— 

— 

9 

Redwood  Bay 

February  1973 

— 

16 

0.19 

0.03 

— 

— 

March  1973 

— 

12 

0.09 

0.01 

— 

— 

10 

Ruflins  Bay  > 

February  1973 

2 

13 

0.39 

0.01 

— 

— 

.March  1973 

3 

22 

0.27 

0.06 

— 

— 

11 

East  Arm' 

February   1973 

1 

34 

0.10 

0.02 

— 

— 

2 

15 

0.09 

0.02 

— 

— 

3 

19 

0.19 

0.01 

— 

— 

March   1973 

2 

19 

0.08 

0.01 

— 

— 

3 

13 

0.20 

0.01 

— 

— 

12 

Middle  Island- 

February  1973 

3 

16 

0.11 

0.03 

— 

— 

Flats 

March  1973 

2 

21 

0.09 

0.02 

— 

— 

3 

19 

0.10 

0.01 

— 

— 

13 

West  Arm 

March  1973 

— 

14 

0.119 

0.01 

— 

— 

14 

Br>ants  Bay 

March   1973 

— 

14 

0.08 

0.01 

— 

— 

Boiittifr  Bay^ 

August   1973 

1.5 

15 

ND 

T 

ND 

T 

Tiiranna  Bay^ 

July   1973 

1.5 

15 

T 

T 

ND 

T 

Ritlptn  Bay  i 

January   1972 

2 

24 

ND 

T 

— 

— 

Sinnnons  Bay ' 

August  1973 

K5 

15 

ND 

0.01 

ND 

T 

Gardners  Bay^ 

July  1973 

1.5 

15 

T 

0.06 

r 

T 

NOTE:   —  =  nol  analyzed.  ND  =  not  detected,  T=<0.01  mg/kg. 
'  Oyster  Tarms. 


88 


Pesticides  Monitoring  Journal 


of  lindane  were  identified  in  samples  from  three  of  the 
leased  farms. 

The  limited  sampling  of  oysters  of  different  ages  from 
growing  areas  in  the  Tamar  River  suggests  few  differ- 
ences in  pesticide  concentrations  among  the  groups;  this 
agrees  with  Butler's  observations  (2). 

Tamar  River  samples  taken  at  increasing  distances 
downriver  from  Launceston  showed  diflferences  in  pesti- 
cide concentrations  in  oyster  fats  (Fig.  2).  Dieldrin 
levels  were  inversely  correlated  with  distance  from 
Launceston  (/■  =  0.900;  P  =  0.001),  whereas  DDT 
levels  showed  a  more  general  spread  suggestive  of  wide- 
scale  low-level  use  of  the  pesticide  (r  =  0.490;  0.05 
<P<0.10). 

Discussion 

Levels  of  pesticides  other  than  dieldrin  were  generally 
low  and  probably  of  negligible  significance.  Because 
oysters  are  extremely  sensitive  to  organochlorine  pollut- 
ants, these  levels  indicate  little  contamination  of  the 
waterways  (4). 

Dieldrin  levels  were  higher  and  indicated  a  serious  level 
of  contamination  of  the  Tamar  River.    Levels  are  com- 


Launceslon.km 

FIGURE  2.    Pesticide  concenlrations  in  oyster  fats  wifli  in- 

creasiiif;  distance  from  Launceston,  from  sampling  stations 

in  T Ulnar  River,  Tasmania,  Australia — March  1973 


parable  to  those  reported  by  Clegg  for  the  Sydney  rock 
oyster  (C.  commercialis)  in  the  Brisbane  River  (6). 
Butler,  reporting  on  the  U.S.  National  Pesticide  Moni- 
toring Program  (NPMP),  noted  similar  levels  of  dieldrin 
in  oysters  from  a  few  locations  in  Georgia,  New  York, 
South  Carolina,  and  Washington,  but  these  were  the 
exception  (5).  Dieldrin  was  detected  in  only  15  percent 
of  all  NPMP  samples. 

Lfptake  of  dieldrin  by  eastern  oysters  (C.  virginica)  was 
studied  for  a  short  term  by  Mason  and  Rowe  ill)  and 
over  a  longer  period  by  Parrish  (14).  Concentration 
ratios  for  the  pesticide  were  2-8  X  10-'  for  oysters 
exposed  to  ambient  water  concentrations  of  0.1-9  /xg/ 
liter.  If  similar  concentration  factors  apply  to  C.  giga.i, 
dieldrin  levels  in  the  Tamar  River  should  range  from 
0.3  Mg/liler  to  0.075  Mg/liter.  This  agrees  with  0.18-0.02 
;ug/ liter  reported  in  a  1972-73  survey  of  the  Tamar 
River  by  the  State  Department  of  the  Environment  (8). 

Such  levels  would  not  affect  embryonic  development  or 
larval  growth  and  survival  if  Pacific  oysters  exhibit 
tolerances  similar  to  those  reported  for  eastern  oysters. 
In  the  latter,  Davis  and  Hidu  (7)  foimd  little  difference 
between  controls  and  experimental  cultures  at  dieldrin 
concentrations  of  25  yj,g/ liter. 

Levels  of  DDT,  HCB,  and  lindane  in  these  oysters  are 
within  Australian  tolerance  standards  for  food  (13) 
and  represent  little  risk  to  public  health.  At  present 
there  is  no  published  tolerance  for  dieldrin  residues  in 
fish,  but  if  limits  of  the  Food  and  Drug  Administration, 
U.S.  Department  of  Health,  Education  and  Welfare,  are 
applied  (0.3  mg/kg.  shellfish  meats),  then  only  one 
sample  in  the  February  survey  exceeded  these  limits. 

Results  of  the  heavy-metal  investigation  mentioned  ear- 
lier revealed  widespread  contamination  of  oysters  in  the 
Tamar  River.  Subsequently,  oysters  cannot  be  taken  for 
human  consumption  from  any  point  upstream  of  Point 
Rapid.  This  effectively  removes  any  risk  of  consumption 
of  oysters  with  high  dieldrin  concentrations  because 
those  downstream  of  Point  Rapid  exhibited  much  lower 
concentrations  of  the  residue  than  did  upstream  samples. 
Distribution  of  pesticide  levels  throughout  the  Tamar 
River  suggested  that  the  minute  amounts  of  DDT  are 
probably  attributable  to  agricultural  runofl".  Dieldrin 
levels  suggested  an  upstream  source  of  contamination 
for  the  pollutant.  Industrial  sources  in  Launceston  were 
implicated  in  the  Annual  Report  of  the  Department  of 
the  Environment  (8),  and  it  seems  likely  that  the 
dieldrin  was  used  to  insect-proof  woolen  fabrics  pro- 
duced by  a  woolen  mill  in  Launceston.  Similar  instances 
were  recorded  about  mills  in  the  United  States  (10,  12). 
Since  this  survey  was  conducted,  the  State  Department 
of  the  Environment  has  attempted  to  limit  the  disposal 
of  a  number  of  pesticides  in  effluents.  (The  Launceston- 


VoL.  12,  No.  2,  September  1978 


89 


based  woolen  mill  was  prosecuted  for  illegal  discharge 
of  dieldrin  residues.)  Continued  monitoring  of  Tamar 
River  water  samples  for  dieldrin  and  DDT  has  reflected 
the  success  of  these  moves.  In  1972-73,  dieldrin  was 
detected  in  89  percent  of  samples  with  a  maximum 
concentration  of  0.39  ^g/ liter:  DDT  was  found  in  14 
percent  of  samples  with  a  high  of  0.04  ,ug/ liter.  Com- 
parable figures  for  1975-76  were:  dieldrin.  70  percent, 
0.13  ,,g/liter:  DDT,  5  percent,  trace  (0,01  ^(g/liter) 
(B.  O.  Healey,  Water  Pollution  Officer,  Department  of 
the  Environment,  Hobart.  Tasmania.  1977.  Unpub- 
lished data.) 

LITERATURE  CITED 

(/)  Aylini;,  G.  M.  1974.  Uptake  of  cadmium,  zinc,  copper, 
lead,  and  chromium  in  the  Pacific  oyster,  Crussoslrcci 
/?/i,'«.s,  grown  in  the  Tamar  River,  Tasmania.  Water 
Res.  8:729-738. 

(2)  Bailer.  P.  A.  1966.  Fixation  of  DDT  in  estuaries. 
Trans.  31st  N.  A.  Wildl.  Nat.  Res.  Conf.  pp.  184-189. 

(i)  Butler,  P.  .-).  1966.  Pesticides  in  the  marine  environ- 
ment. J.  AppI,  Ecol.  3(Siippl):253-259. 

{4)  Butler.  P.  .A.  1969.  Monitoring  pesticide  pollution. 
BioSciencc  I9(  10) : 889-891. 

(5)  Butler,  P.  A.  1973.  Organochlorinc  residues  in  estu- 
arine  molluscs.  1965-72 — National  Pesticide  Monitor- 
ing Program.    Peslic.  Monit.  J.  6(4  )  :238-362. 

(6)  ('lef;i;,  D.  E.  1974.  Chlorinated  hydrocarbon  pesticide 
residues  in  oysters  (Crus.'ioslrcu  comincrcialis)  in 
Morton  Bay,  Queensland.  Australia.  1970-72.  Pestic. 
Monil.  J.  8(3):162-166. 

(7)  Davix.  H.  S..  and  H.  HiJu.  1969.  Effects  of  pesticides 
on  embryonic  development  of  clams  and  oysters  and 
on  survival  and  growth  of  the  larvae.  Fishery  Bull. 
Fish.  Wildl.  Ser.  U.S.  67(2)  ;393-404. 


(S)   Depuriinent   of   the   Environment.    1973.     Report    for 
year  1972-73  presented  to  the  Parliament  of  Tasmania,' 
Australia.    19  pp. 

(9)   Eisler,  R.  1970.   Latent  effects  of  insecticides  intoxica- 
tion to  marine  molluscs.    Hydrobiologia  36:345-352. 

(10)  Garrison,  A.  W.,  and  D.  W.  Hill.  1972.  Organic  pol- 
lutants from  mill  persist  in  downstream  waters.  Am. 
Dyest.  Rep.  62(2):21-23, 

(//)  Mason,  J.  W ..  and  1).  R.  Rone.  1976.  The  accumula- 
tion and  loss  of  dieldrin  and  endrin  in  the  eastern 
oyster.  Arch.  Environ.  Contam.  Toxicol.  4(3):349- 
360. 

(/2)  Mick,  D.  L.,  H.  Hetz.ler,  and  E.  Slach.  1974.  Organo- 
chlorinc insecticide  residues  in  carpeting.  Pestic. 
Monit.  J.  8(2):  140-141. 

{13)  National  Health  and  Medieal  Researeh  Council.  1976. 
Approved  food  standards  and  approved  food  additives. 
Commonwealth  Dept.  Health.  Aust.  Govt.  Pub.  Ser., 
Canberra.  Standard  for  residues  of  pesticides  in  food, 
pp.  177-208. 

(N)  Parri.sh.  P.  A.  1973.  Aroclor®  1254,  DDT,  and 
dieldrin:  accumulation  and  loss  by  American  oysters 
(Cras.so.strea  virtiiinca)  exposed  continuously  for  56 
weeks.  Tech.  Paper  NSA  Conven.  1973  (Abstract 
only)  in  Proc.  Nat.  Shellfish  Assoc.  64:7. 

{!>)  Sumner,  C.  E.  1974.  Oysters  and  Tasmania,  Part  2. 
Tasmania  Fish.  Res.  8(2):  1-12. 

(16)  Thomas.  J.  M.  1952.  The  acclimatization  and  growth 
of  the  Pacific  oyster  (Gryphaea  i:if;as)  in  Australia. 
Aust.  J.  Marine  Freshwater  Res.  3(  I  ):64-73. 

(/7)  Thomson.  J.  M.  1959.  The  naturalization  of  the 
Pacific  oyster  in  Australia.  Aust.  J.  Marine  Fresh- 
water Res.  10(2):  144-149. 

(/iV)  U.S.  DepartinenI  of  Health.  Education,  and  Welfare. 
Food  and  Drui;  Ailministration.  1971.  Pesticide  Ana- 
lytical Manual,  Vol.   1.  Section  212  13a(l). 


90 


Pesticides  Monitoring  Journal 


FOOD  AND  FEED 


DDT  Residues  in  Butter  and  Infant  Formula  in  India,  1977 ' 

G.  S.  Dhaliwal-  and  R.  L.  Kalia  = 


ABSTRACT 

Samples  of  commercicd  brands  of  biilter  and  infant  formula 
from  ilifferenl  parts  of  India  were  examined  for  DDT  residues. 
All  18  samples  of  butter  representing  nine  brands  were  con- 
taminated. Levels  of  DDT  residues  ranged  from  0.42  to 
11.36  ppm  and  exceeded  the  Food  and  Agriculture  Orga- 
nization/World Health  Organization  practical  residue  linul 
of  1 .25  ppm  in  90  percent  of  the  samples.  Alt  four  brands 
of  infant  formula  contained  DDT  residues  above  the  prac- 
tical residue  Until.  Most  DDT  residues  were  in  the  form  of 
p.p'-TDE  in  both  commodities.  Tliis  contamination  of  milk 
with  excessive  amounts  of  DDT  residues  seems  to  be  wide- 
spread in  India. 

Introduction 

The  proportions  of  DDT  and  its  metabolites  present  in 
cows'  milk  indicate  possible  sources  of  these  residues  (5). 
Different  routes  of  animal  exposure  result  in  secretion 
of  DDT  in  different  forms  (//).  Animal  uptake  by 
aspiration  or  intravenous  injection  results  in  secretions 
of  DDT;  ingestion  leads  to  secretions  in  the  form  of 
DDT  metabolites. 

Limited  information  is  available  in  India  on  the  nature 
of  DDT  residues  in  bovine  milk.  Milk  samples  from 
Delhi  contained  only  residues  of  p.p'-DDT  (I).  On  the 
other  hand,  most  DDT  residues  in  milk  from  Ludhiana 
were  in  the  form  of  p.p'-lDE  (2).  Because  milk  is  an 
important  food  commodity,  particularly  for  children,  it 
is  necessary  to  know  the  extent  and  sources  of  its  con- 
tamination with  DDT.  Samples  of  commercial  brands 
of  butter  and  infant  formula  from  different  parts  of 
India  were  analyzed  for  DDT  residues.  These  commodi- 
ties were  chosen  because  of  their  availabilitv. 


'Study  financed  in  part  by  the  Agricuitiiial  Research  Service,  U.S. 
Department  of  Agricuhiire,  under  PL  4St)  project  "Studies  on  pesti- 
cides residues  and  monitoring  of  pesticidal  pollution  (IN-ARS-65)," 

-Department  of  Entomology.  Punjab  Agricultural  University.  Ludhiana- 
141004,  Punjab.  India. 


Materials  and  Methods 

BUTTER 

Different  commercial  brands  of  butter  manufactured  in 
Punjab,  Haryana,  Delhi,  Rajasthan.  and  Gujarat  were 
purchased  from  the  local  market  in  lOO-g  packages 
February  and  March  1977.  Three  butter  samples 
weighing  100  g  each  were  also  purchased  during  the 
same  period  from  local  dairies  situated  in  different  parts 
of  Ludhiana  city.  Laboratory  extractions  were  made 
within  2  days. 

The  method  described  by  Faubert  Maunder  at  al.  (4) 
was  modified  slightly  and  used  to  extract  and  isolate 
DDT  residues.  The  butter  was  warmed  at  about  50°C 
to  separate  the  fat  which  was  decanted  through  dry  filter 
paper.  A  5-g  sample  of  the  clarified  fat  was  dissolved  in 
10  ml  of  hexane  and  transferred  quantitatively  to  a 
12.'5-ml  separatory  funnel  by  using  additional  small  por- 
tions of  hexane  totaling  15  ml.  The  hexane  extract  was 
partitioned  three  times  into  hexane-saturated  dimethyl- 
formamide.  using  10  ml  of  solvent  each  time.  The 
dimethylformamide  fraction  was  backwashed  with  10  ml 
of  dimethylformamide-saturated  hexane,  diluted  with 
250  ml  of  water  and  50  ml  of  sodium  chloride-saturated 
aqueous  solution,  and  extracted  twice  with  100  ml  of 
hexane.  The  combined  herane  extracts  were  concen- 
trated to  about  5-10  ml  for  subsequent  column  cleanup. 
Silica  gel,  60-200  mesh,  was  thoroughly  washed  with 
acetone  and  methanol  and  activated  1  hour  at  130°C. 
It  was  packed  in  a  50-cm  X  2-cm  glass  column  to  a 
height  of  10  cm  between  la>ers  of  anhydrous  sodium 
sulfate.  The  column  was  prewashed  with  100  ml  of 
hexane.  The  sample  extract  in  hexane  was  added  to  the 
column  and  eluted  with  150  ml  of  50  percent  benzene 
in  hexane.  The  eluate  was  concentrated  to  1-10  ml  and 
was  analyzed  by  thin-layer  and  gas-liquid  chromatog- 
raphy. 

Thin-layer  chromatography  was  done  by  the  method  of 
Thompson  et  al.  (7)  on  AgNO.-incorporated,  alumina- 


VoL.  12,  No.  2,  September  1978 


91 


G-coated  glass  plates.  /;-Hexane  was  used  as  the  devel- 
oping solvent.  The  Rf  values  were;  p./ADDF.  0.65: 
pp-DDE,  0.88;  p.p'-TDE,  0.35:  o.p-DDT,  0.77:  o.p- 
TDE.  0.42:  n-BHC.  0.52:  /i-BHC.  0.1 :  y-BHC,  0.32:  and 
8-BHC,  0.1. 

GLC  determinations  were  made  by  injecting  1-10  ^i\  of 
the  sample  solution  into  a  Model  7624  Packard  gas 
chromatograph.  Two  columns  were  used:  (A)  was  the 
working  column  and  (B)  was  used  for  confirmation. 
Instrument  parameters  and  operating  conditions  follow: 


Deleclor: 
Columns: 


Temperature 


Carrier  gas: 
Flow  rate: 


m   ID.   packed 
1     80-1  no-mesh 


Tritium  electron-affinity 

(A)  Pyrex.   102  cm  long    x    0.4 
with    5     percent     DC-200 
Gas-Chtom  Q 

(B)  Pyrex  1.S4  m  long  X  0.4  cm  ID.  packed 
w'ith  2  percent  DECS  on  80-IOO-mesh  Gas- 
Chrom  Q 

:  Column      190'C 

Detector    200°C 
Inlet  210°C 

Nitrogen 
70  ml/ minute  for  Column  A 
100  ml/ minute  for  Column  B 


Retention  times,  in  minutes,  are  listed  below: 


Column  A 


Column  B 


/),p-DDE 

p.p-TDE 

p.p-DDT 

o.p'-DDT 

o.p'-TDE 

,.-BHC 

-,-BHC 

/i-BHC 


2.5 

3 

2.5 

2 

1 

1.10 

1 


3.5 
10 
8 
5 

6.5 
1.5 
2 
5.5 


On  column  .A,  the  half-scale  deflection  was  obtained 
with  0.5  ng  of  /7,p'-DDE,  0.8  ng  of  /;,//-TDE,  and 
1.0  ng  of  /7,p'-DDT.  Quantitative  estimations  were 
made  by  comparing  peak  heights  of  the  unknown  with 
the  standards  treated  similarly.  Recoveries  of  DDT  and 
its  metabolites  at  the  fortification  levels  of  0.5  ppm  were 
80-90  percent.  Results  were  expressed  as  such  and  were 
not  corrected  for  recovery.  The  limit  of  detection  of 
p,p'-DDT  in  butter  was  0.01  ppm. 

The  nature  of  DDT  residues  was  confirmed  by  a  micro- 
alkali  dehydrohalogenation  procedure  in  the  Manual  of 
Analytical  Methods  for  Analysis  of  Pesticide  Residues  in 
Human  and  Einironmculal  Samples  {10) . 

INFANT    rORMLLA 

Four  brands  of  infant  formula  manufactured  in  Punjab, 
Bombay,  and  fiujarat  were  purchased  from  a  local 
market  in  500-g  packages  February-April  1977.  Ten  g 
of  infant  formula  was  weighed  and  diluted  to  80  ml  with 
distilled  water.  Each  sample  was  blended  with  160  ml 
of  acetone  and  160  ml  of  he.\anc  in  a  vortex  beaker  for 
3  minutes.  The  extract  was  ccntrifuged  at  3000  rpm 
for    10   minutes.      The   hcxane   layer  was    removed   by 


92 


pipet,  concentrated  to  about  25  ml,  and  partitioned  inlo^ 
dimethvlformamide  three  times,  using  15  ml  of  solvent' 
each  time.   The  combined  dimethvlformamide  fractions 
were  cleaned  and  analyzed  by  the  procedures  described 
for  butter. 

Results  ui\d  Discussion 
DDT  residues  in  butter  occurred  mainly  in  the  form  of 
p.p'-DDT.  p,p'-DDE.  and  p.p'-JDE.  Small  amounts  of 
o.p'-DDT  and  o.p'-TDE  were  also  detected.  Some  sam- 
ples had  BHC  residues  in  the  form  of  a-,  /i-,  and  7- 
isomers.  Only  traces  of  BHC  were  found.  The  maxi- 
mum residue,  1  ppm  BHC,  was  found  in  a  sample  of 
butter  from  Gujarat. 

Levels  of  DDT  residues  in  eighteen  samples  of  butter 
representing  six  commercial  and  three  local  brands  are 
given  in  Table  1.  All  but  one  brand  of  butter  contained 
DDT  residues  higher  than  the  practical  residue  limit  of 
1  25  ppm  established  by  the  United  Nations  Food  and 
Agriculture  Organization  (FAO)/World  Health  Organi- 
zation (WHO)  (9).  The  level  of  DDT  residues  varied 
from  0.42  to  1  1.36  ppm  with  an  average  of  4.77  ppm. 
In  a  study  at  Uttar  Pradesh  Agricultural  University, 
Pantnager,  India  (S),  two  of  five  butter  samples  were 
contaminated  with  DDT  at  an  average  level  of  0.4  ± 
0  14  ppm.  The  highest  level  of  DDT  detected  was  0.5 
ppm.  Agnihotri  et  al.  (/)  reported  that  seven  of  eight 
samples  of  butter  collected  from  Delhi  contained  DDT 
residues  higher  than  the  practical  residue  limit.  The 
concentration  of  residues  varied  from  1.1  to  8.0  ppm 
with  an  average  level  of  3.8  ppm.  The  present  study 
shows  that  most  of  the  commercial  brands  of  butter 
manufactured  in  Punjab,  Haryana,  Delhi,  Rajasthan, 
and  Gujarat  contained  DDT  residues  higher  than  the 
practical  residue  limit,  and  suggests  widespread  con- 
tamination in  India  of  milk  with  high  levels  of  DDT 
residues. 

TABI  F    1 .     Residues  of  DDT  and  its  metabolites  in 
euinnuTcial  Initter  samples,  India.  1977 


Sample 
Number 

Orioin 

Residues 

,  PPM 

Bui  IIR 

DDT 

DDE 

TDE 

2  DDT 

Brand  1 

Gujarat 

1.88 
2.54 
1.62 

1.48 
1.44 
1.44 

8.00 
6.53 
6.35 

11.36 
10.51 
9.41 

Biand  II 

Haryana 

1.16 
1.18 
0.50 

0.74 
0.73 
0.30 

3.74 
3.51 
1.36 

5.64 
5.42 
2.16 

Brand  111 

I'unj.  h 

0.75 
0.73 
0.63 

0.58 
0.42 
0.41 

3.54 
3.25 
2.53 

4.87 
4.40 
3.57 

Brand  IV 

RajaMh.ui 

0.75 
0.68 
0.70 

0.73 
0.49 
0.42 

3.73 
2.63 
2.50 

5.21 
3.80 
3.62 

Brand  V 
Brand  VI 

Delhi 
Gujarat 

0.35 
0.02 
0.02 

0.25 
0.17 
0.19 

1.55 
0.3.1 
0.21 

2.15 
0.52 
0.42 

Locale  1 
Locale  II 
Locale  Ml 

1  udliiana 
Ludhiana 
Ludhiana 

0.81 
0.70 
0.57 

0.58 
0.42 
0.38 

4.47 
2.84 
2.16 

5.86 
3.96 
3.11 

Pesticides  Monitoring  Journ.\l 


TDE  is  the  predominant  metabolite  detected  in  all 
brands  of  butter  (Table  1).  Milk  collected  recently 
from  Ludhiana  and  surrounding  areas  showed  similar 
results  (2).  Since  TDE  is  not  being  used  in  India  for 
crop  protection  or  mosquito  control,  then  TDE  residues 
must  arise  as  a  result  of  metabolism  of  DDT.  However, 
milk  and  butter  samples  from  Delhi  did  not  show  resi- 
dues of  any  metabolite.  The  residues  were  detected  as 
DDT  only  (/).  The  other  two  studies  carried  out  in 
India  on  the  DDT  contamination  of  milk  and  milk 
products  did  not  consider  the  metabolites  (6.8).  The 
high  level  of  TDE  found  in  butter  samples  suggests  that 
cattle  ingest  DDT  mainly  through  contaminated  feed. 
Witt  et  al.  found  a  1 : 1  relation  between  levels  of  DDT 
residues  in  cattle  feed  and  the  concentration  of  DDT 
secreted  in  bovine  milkfat  (12).  If  this  relationship 
were  true  in  the  present  study,  DDT  residues  in  cattle 
feed  would  be  expected  to  vary  between  0.42  and  1 1.36 
ppm,  averaging  4.77  ppm.  The  sources  of  such  high 
DDT  contamination  of  cattle  feed  must  be  determined 
particularly  because  the  use  of  DDT  for  plant  protection 
is  limited  in  India.  DDT  is  used  mainly  for  malaria 
control;  indoor  residual  spraying  on  the  walls  and  roofs 
is  carried  out  at  the  rate  of  1  g/m^.  Dhaliwal  and  Kalra 
suggested  that  the  indoor  spraying  might  contaminate 
stored  feed,  and  thereby  contribute  partly  toward  the 
ingestion  of  DDT  by  cattle  (2).  However,  the  con- 
tribution of  this  and  other  sources  of  contamination  of 
milk  needs  further  investigation. 

All  four  popular  brands  of  infant  formula  contained 
DDT  residues  above  the  tolerance  level  of  1 .25  ppm, 
usually  in  the  form  of  TDE  (Table  2).  The  concentra- 
tion of  DDT  varied  from  1.52  to  2.72  ppm,  averaging 
1.90  ppm.  Apparently,  no  other  study  has  been  carried 
out  in  India  on  the  DDT  contamination  of  commercial 
infant  formula.  The  present  study  shows  that  even  the 
spray  drying  process  in  the  manufacture  of  infant  for- 
mula, does  not  reduce  residues  of  DDT  to  below  the 
FAO/WHO  tolerance  level.  This  corresponds  with  the 
observation  of  Engst  et  al.  {3). 

The  average  level  of  DDT  residues  found  in  infant  for- 
mula is  1.90  ppm.  The  consumption  of  this  milk  by  a 
three-month-old  child  weighing  approximately  5  kg  at 


TABLE   2.     RcsUUics  nj  DDT  and  its  metcihoUtcs  in 
conunercial  inftinl  formula  .samples,  India.  1977 


Infant 

Origin 

Fat 
Content, 

% 

Resi 

DUES  ON 

Fat  Basis 

PPM 

Formula 

DDT 

DDE 

TDE 

SDDT 

Brand  I 

Punjab 

19 

0.6.1 

0..13 

1.76 

2.72 

Brand  I] 

Bombay 

19 

0.40 

0.25 

1.04 

1.69 

Brand  III 

Gujarat 

18 

0.26 

0.36 

1  03 

1,65 

Brand  IV 

Bombay 

18 

0.33 

0.17 

1.(12 

.1.52 

the  normal  feeding  rate  of  135  g/day  would  result  in 
a  daily  intake  of  47  ;u,g  of  DDT.  This  value  is  about 
twice  the  acceptable  daily  intake  of  0.005  mg/kg  of 
baby  weight  (25  ^g  for  an  infant  weighing  5  kg)  estab- 
lished for  DDT  by  the  Joint  Pesticides  Committee  of 
FAO  and  WHO  (9). 


LITERATURE  CITED 

(/)  Agnihotri.  N.  P.,  R.  S.  Dcwan.  H.  K.  Jain,  and  S.  Y. 
Pandey.  1974.  Residues  of  insecticides  in  food  com- 
modities from  Delhi — II.  High-fat-conlent  food  ma- 
terials.   Indian  J.  Entomol.    .16(  3  )  ;203-2O8. 

(2)  Dhaliwal.  G.  S..  and  R.  L.  Kalra.  1977.  DDT  res- 
idues in  milk  samples  from  Ludhiana  and  surrounding 
areas.  Indian  J.  Ecol.  4(  1  ) :  I  3-22. 

(.?)  Eng.st.  R..  L.  Pruhl,  and  E.  Jarmatz.  1969.  Effect  of 
food  processing  on  insecticide  residues.  II.  Behaviour 
of  chlorinated  insecticides  during  industrial  production 
of  dried   milk.    Nahrung    1  3(6  )  :47  1-475. 

(4)  Funhcrt  Maunder.  J.,  H.  Sgan.  E.  W .  Codly,  E.  W. 
Hammond.  J.  Roluirn,  and  J.  Thompson.  1964.  Clean- 
up of  inimal  fats  and  dairy  products  for  the  analysis 
of  chlorinated  pesticide  residues.  Analyst  89(1056): 
168-174. 

(5)  Haxes.  W.  ].  1975.  Toxicology  of  pesticides.  Williams 
and  Wilkins,  Baltimore.  MD.  5Sf)  pp. 

(6)  Luk.slin)inurayana.  W.  and  P.  Krishna  Mcnon.  1975. 
Screening  of  Hyderabad  market  samples  of  foodstuffs 
for  organochlorine  insecticide  residues.  Indian  J.  Plant 
Protect.   3(1):4-19. 

(7)  Thomp.son,  R.  H..  E.  G.  Hill,  and  F.  B.  Flshwick.  1970. 
Pesticide  residues  in  Great  Britain.  XIII.  Organo- 
chlorine residues  in  cereals,  pulses,  and  nuts.  Pestic. 
Sci.  1:93-98. 

(S)  Tripathi.  H.  C.  1966.  Organochlorine  insecticide  resi- 
dues in  agricultural  and  animal  products  in  Terai  area. 
M.Sc.  thesis,  Uttar  Pradesh  Agricultural  University, 
Pantnagar,  India,  120  pp. 

(9)  United  Nations.  Food  and  Agricidlnre  Oriianizution/ 
World  Health  Organization.  1973.  Pesticide  Residues 
in  Food.  Report  of  the  1972  Joint  Meeting  of  the  FAO 
Working  Party  of  Experts  on  Pesticide  Residues  and 
the  WHO  Expert  Committee  on  Pesticide  Residues. 
World  Health  Organization  Tech.  Rep.  Ser.,  No.  525; 
FAO  Agricultural  Studies  No.  90,  47  pp. 

(10)  U.S.  Environmental  Protection  A.vency.  1974.  Manual 
of  Analytical  Methods  for  the  Analysis  of  Pesticide 
Residues  in  Human  and  Environmental  Samples.  Pre- 
pared by  Environmental  Toxicology  Division,  Health 
Effects  Research  Laboratory,  Research  Triangle  Park. 
N.C.  Section  XII  D,  pp.  1-7. 

(//)  Witt.  J.  M.,  F.  M.  Whilin.i;.  W.  H.  Brown,  and  J.  W. 
Stall.  1966a.  Contamination  of  milk  from  different 
routes  of  animal  exposure  to  DDT.  J.  Dairy  Sci.  49: 
370-380. 

(12)  Witt,  J.  A/.,  F.  M.  Whiting,  and  W.  H.  Brown.  1966b. 
In  Organic  Pesticides  in  the  Environment.  Advances 
in  Chemistry  Series.  No.  60,  American  Chemical  So- 
ciety, Washington,  DC.   99  pp. 


Vol.  12,  No.  2,  September  1978 


93 


GENERAL 


Organocliloriiw  Pesticides  and  Polychloiinated  Biphenyls  on  Sediments 
from  a  Subarctic  Salt  Marsh,  James  Bay,  Canada — -1976 

W.  A.  Glooschenko '  and  R.  C.  J.  Sampson  ^ 


ABSTRACT 

Sediment  suniples  were  eollecled  from  a  suhaietic  sail 
marsh  on  James  Bay,  Ontario  in  May  1976.  Of  15  ori>ano- 
chlorine  compounds  analyzed,  trace  amounts  mainly  of 
p.p'-DDE  and  polychlorinated  biplienyls  (PCBs)  were  de- 
tected, luit  could  not  he  quantitated. 

llUnxlllCtioil 

Organochlorine  pesticides  and  polychlorinated  biphenyls 
(PCBs)  have  been  detected  in  subarctic  and  arctic  ma- 
rine food  chains.  PCBs  and  -DDT  have  been  found  in 
polar  bears,  seals,  and  fish  in  the  Canadian  arctic  (/) 
and  in  fish  in  a  landlocked  lake  in  northwestern  Que- 
bec (5).  The  authors  wished  to  determine  levels  of  these 
organochlorine  compounds  in  sediments  of  a  subarctic 
wetland  since  this  part  of  the  ecosystem  would  be  the 
ultimate  sink  of  many  of  the  compounds. 

Sediment  samples  were  collected  in  May  1976  from  a 
subarctic  salt  marsh  at  North  Point,  Ontario  (51°29'N, 
80°27'W),  on  the  western  shore  of  James  Bay,  approxi- 
mately 27  km  northeast  of  Moosonee  at  the  southern  end 
of  James  Bay.  A  sample  was  collected  in  Moosonee 
from  a  drainage  ditch  to  check  the  possibility  of  local 
sources  of  contamination. 

Methods  and  Materkds 

Sediment  samples  were  collected  by  hand  with  a  stainless 
steel  trowel  from  the  top  5  cm  of  five  salt  marsh  sites, 
two  freshwater  creek  sediments,  and  a  drainage  ditch  in 
the  Moosonee  settlement.  Samples  were  placed  in  alumi- 
num cans  which  had  been  carefully  cleaned  with  inter- 
ference-free solvents  and  were  frozen  until  analysis 
within  two  months  of  collection. 


'Geology  Seclion.  Process  Rcscarth  Division.  Can.ida  Centre  for 
Inland  Walcrs.  I'  ().  Box  5()5I).  Burlinglon.  Omano.  Canada  I  7R  4A6. 

-Waicr  Qualiiy  Branch  (Uniario  Region).  Inland  Walcrs  Dircciorale. 
P.O.  Box  5050,  Burlington,  Ontario,  Canada  I  7R  4A6. 


Thawed  wet-sediment  samples  (10  g)  were  extracted  by 
using  an  ultrasonic  probe.  Each  sample  was  extracted 
three  times  with  75  ml  of  acetonitrile  for  2  minutes  each 
time  and  filtered  through  Celite  and  sodium  sulfate.  The 
combined  filtrate  and  washings  were  partitioned  into 
petroleum  ether,  washed  with  water,  dried  with  sodium 
sulfate,  and  evaporated  with  a  rotary  evapwrator  to  1  ml, 
using  isooctane  as  a  keeper.  Recovery  was  80-100 
percent  (2). 

The  concentrate  was  analyzed  by  high-pressure  liquid 
chromatography.  Four  fractions  were  collected,  evap- 
orated to  1  ml,  and  analyzed  by  computerized  gas 
chromatography  (GC)  with  automatic  sampling.  Identi- 
fication was  based  on  quantitative  reproducibility  (±20 
percent)  on  four  columns  of  varying  polarity  with  a 
2  percent  retention  time  variability  window.  Instrument 
parameters  and  operating  conditions  follow. 


Delectois:         linearized  ''-Ni  electron-capture 

Cohimns:  (1)   2  m  x  3.5  mm  I.D..  pyrex,  packed  witti  mixture 

of  1.5  percent  OV-17  and  1.95  percent  QF-I  on 
llX)-i:0-mesh  Gas-Chrom  Q 

(2)  1.86  m  X  4  mm  I.D..  packed  with  mixline  of 
4  percent  OV-101  and  6  percent  OV-210  or 
QF-1  on  80-100-mesli  Gas-Chrom  Q 

(.1)  1.86  X  4  mm  l.O.,  packed  with  J  percent  OV- 
101  on  811-10()-mcsh  Chromosorb  W-HP 

(4)  2  m  X  3.5  mm  I.D.,  packed  with  3  percent 
OV-225  on  100-1 20-mesh  Gas-Chrom  Q 

Icmpciatures:  column  200°  C 
injector  225°  C 
detector    325°  C 

Carrier  gases:    mixture  of  5  percent  methane  and  95  percent  argon 
flowing  at  50-75  ml/ minute 


Quantitation  limits  are  given  in  Table  I.  Detection 
limits  for  the  pesticides  analyzed  are  approximately  one- 
tenth  the  quantitation  limit.  Authors  were  unable  to 
confirm  identities  of  residues  by  mass  spectrometry 
because  of  the  low  levels  of  compounds. 


94 


Pesticides  Monitoring  Journal 


TABLE  1.  Distrihulion  of  organochtoriiws  in  sediments  from  North  Point  salt  marsh  complex 


Quantitation 
Limit. 

MC/G 

Sample  Site 

Salt  Marsh 

Creek 

Beds 

MOOSONEE 

Compound 

1 

2 

3 

4 

5 

1 

2 

1 

0.001 

Residues,  ;iC 

'G  DRY  WEIGHT 

Lindane 

<  0.001 

ND 

ND 

ND 

ND 

ND 

ND 

<  0.001 

Heptachlor 

0.001 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

Aldrin 

0.001 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

Heplachlor  epoxid 

:          0.001 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

;i.;>'-DDE 

0.001 

<  0.001 

<  0.001 

ND 

<  0.001 

<  0.001 

<  0.001 

<  0.001 

<  O.OOI 

Dieldrin 

0.001 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

p.;>-DDT 

o.ooi 

ND 

ND 

ND 

ND 

<  0.001 

ND 

ND 

ND 

o.p'-DDT 

0.001 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

Endrin 

0.001 

ND 

ND 

ND 

<  0.001 

ND 

ND 

ND 

ND 

ft-Chlordane 

0.005 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

-,-Chlordane 

0.005 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

rv-EndosuIfan 

0.01 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

/3-Endosulfan 

0.01 

ND 

ND 

ND 

ND 

ND 

ND 

<  0.01 

ND 

p-p'-Melhoxychlor 

0.05 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

<  0.05 

Total  PCBs 

0.1 

<  0.1 

<  0.1 

<  0.1 

<  0.1 

<  O.I 

<  0.1 

<  0.1 

<  0.1 

Results  and  Discussion 

Results  are  in  Table  I.  Of  the  15  organochlorine  com- 
pounds, none  could  be  quantitated.  However,  p.p'-DDE 
and  PCBs  were  detected  in  nearly  all  the  samples. 
Traces  of  lindane,  p,/?'-DDT,  endrin  /i-endosulfan,  and 
/^.p'-methoxychlor  were  noted. 

No  river  entering  James  Bay  drains  regions  of  agricul- 
ture, nor  is  there  intensive  recreational  use  of  the  area, 
a  source  of  pesticide  input  in  southern  Ontario  (2^). 
Therefore,  it  appears  that  traces  of  organochlorine 
compounds  have  been  transported  to  the  area  by  air. 


LITERATURE  CITED 

'1)  Bowes,  G.  W.,  and  C.  J.  Jonkel.  J975.  Presence  and 
distribution  of  polychlorinated   biphenyls    (PCBs)    in 


arctic  and  subarctic  marine  food  chains.  J.  Fish.  Res. 
Board  Can.  32(11)  :21I  1-2123. 

(2)  Glooschenko,  W.  A..  W.  M.  J.  Sirachan.  and  R.  C.  J. 
Sampson.  1976.  Distribution  of  pesticides  and  poly- 
chlorinated biphenyls  in  water,  sediments,  and  seston 
of  the  Upper  Great  Lakes — 1974.  Pestic.  Monit.  J. 
10(2):61-67. 

(3)  Miles,  J.  R.  W..  and  C.  R.  Harris.  I97J.  Organochlorine 
insecticide  residues  in  streams  draining  agricultural, 
urban-agricultural,  and  resort  areas  of  Ontario,  Can- 
ada—1971.  Pestic.  Monit.  J.  6(4):363-368. 

(4)  Frank,  R.,  A.  E.  Armstrong.  R.  G.  Boelens,  H.  E. 
Braiin,  and  C.  W.  Douglas.  1974.  Organochlorine 
insecticide  residues  in  sediments  and  fish  tissues,  On- 
tario, Canada.  Pestic,  Monit.  J.  7(3/4):  165-180. 

(5)  Risebrough,  R.  W.,  and  D.  D.  Bergcr.  1971.  Evidence 
for  aerial  fall-out  of  polychlorinated  biphenyls  (PCBs) 
in  the  eastern  Canadian  Arctic,  Manuscript  Rept.  No. 
23,  Pesticide  Section,  Canadian  Wildlife  Service. 


Vol.  12,  No.  2,  September  1978 


95 


APPENDIX 


Chemical  Names  of  Compounds  Discussed  in  This  Issue 


ALDRIN 

AROCLOR   124: 

ARCKLOR   1:54 

AROCLOR    126(1 

AZINPHOSMETHYL 

BENZENE  HEXACHLORIDE (BHC) 

BROMACIL 

CARBOPHENOTHrON 

CHLORDANE 

DDE 

DDT 

DACTHAL   (DCPA) 

DEF 

DEM  ETON 


DIA/INON 

Din  DRIN 

DIURON 

ENDOSL'LFAN 

ENDRIN 

ETHION 

HEPTACHLOR 

LINDANE 

MALATMION 

METHOX^  (  111  OR 

MIREX 

PAKATHION 

PHORATE 

PCBs 

TDE 

TOXAPHENE 
TRiri  IRALIN 


Hcxachloriihexahydro-p<ii/o.  t'.vo-dimcthanonaphthalene  95';!i  and  related  compounds  5% 

PCB.  approximately  42'^c  chlorine 

PCB.  approximately  54'~t   chlorine 

PCB.  approximately  60%  chlorine 

0,0- Dimethyl  5-[(4-oxo-l,2,?-benzotria2in-3 (4W )-yl ) methyl]  phosphorodithioate 

I.2,3.4.?.6-Hcxachlorocyclohexane 

5-Bromo-3-scf-biiiyl-6-iTiethyIiiratil 

5-t[(p-Chlorophenyl)thiolmeihyll  0,0-dielhyl  phosphorodithioale 

Octachloro-4,7-methanotetrahydroindane  60%  and  related  compounds  40% 

Dichlorodiphenyldichloroethylene 

Dichorodiphenyltrichloroethylene 

Dimethyl  tetrachloroterephthalate 

5.5,5-Tribiityl  phosphorotrithioate 

0,0-Diethyl  0-[2-(ethyIthio)cthyl]  phosphoroihioale  and  O.O-diethyl  .S-(2-(cihylihio )eihyl] 
phosphorothioate 

0,0-DiethyI  0-(2-isopropyl-6-melhyl-4-pyrimidinyl)  phosphorothioate 

HexachIorocpoxyoclahydro-('/;(^('.  cAY^-dimclhanoiiaphthalcnc  S5'^f  and  related  compounds  15% 

3-(.^,4-DichIorophcnyl  )-l .l-dimethylurea 

Hexachlorohcxahydromelhano-2.4..Vbenzodioxathicpin-3-oxide 

HexachIoroepoxyoctahydio-<'Mi/'>.  cfu/c-dimethanonaphthalene 

0,O,O',0'-Tctraclhyl  .S..V'-methyIene  bisphosphorodithioate 

Heptachlorotetrahydro-4,7-meihaniiindenc  and  related  compounds 

G<innnti  isomer  of  1.2.3,4.5,6-hexachlorocycIoIicxane 

O.O-Dimclhyl  ditIiii>phosphate  of  diethyl  niercaptosiiccinate 

2,2-Ris{/j-methox\phcnyl)-l.l.t-Irichlori>ethane  SS*"^  and  related  compounds  12% 

Dodecachlort)Octahydro-l,3-mcthailo-I//-cycIobulalcd)pcntalene 

O.O-Diethyl  0-/;-nitropheny!  phosphorothioate 

O.O-Dielhyl  .V-|  (elhylthio  )  methyl  |  phosphorodithioale 

Polychlorinatcd  biphenlys.  mixtures  of  chlorinated  biphcinl  compounds  havinji 
various  percentages  of  chlorine 

Dicllloiodiphcnyldiclllorocthane 

Technical  chlorinated  camphcne  61-69%  chlorine 

M.<.,M-'rrinuoro-2,6-din it ro-.V,,\'-iJi propyl  /i-toluidine 


96 


Pesticides  Monitoring  Journal 


Information  for  Contributors 


The  Pesticides  Monitoring  Journal  welcomes  from  all 
sources  qualified  data  and  interpretative  information  on 
pesticide  monitoring.  The  publication  is  distributed 
principally  to  scientists,  technicians,  and  administrators 
associated  with  pesticide  monitoring,  research,  and 
other  programs  concerned  with  pesticides  in  the  environ- 
ment. Other  subscribers  work  in  agriculture,  chemical 
manufacturing,  food  processing,  medicine,  public  health, 
and  conservation. 

Articles  are  grouped  under  seven  headings.  Five  follow 
the  basic  environmental  components  of  the  National 
Pesticide  Monitoring  Program:  Pesticide  Residues  in 
People;  Pesticide  Residues  in  Water;  Pesticide  Residues 
in  Soil;  Pesticide  Residues  in  Food  and  Feed;  and 
Pesticide  Residues  in  Fish,  Wildlife,  and  Estuaries.  The 
sixth  is  a  general  heading;  the  seventh  encompasses 
briefs. 

Monitoring  is  defined  here  as  the  repeated  sampling  and 
analysis  of  environmental  components  to  obtain  reliable 
estimates  of  levels  of  pesticide  residues  and  related 
compounds  in  these  components  and  the  changes  in 
these  levels  with  time.  It  can  include  the  recording  of 
residues  at  a  given  time  and  place,  or  the  comparison  of 
residues  in  different  geographic  areas.  The  Journal  will 
publish  results  of  such  investigations  and  data  on  levels 
of  pesticide  residues  in  all  portions  of  the  environment 
in  sufficient  detail  to  permit  interpretations  and  con- 
clusions by  author  and  reader  alike.  Such  investigations 
should  be  specifically  designed  and  planned  for  moni- 
toring purposes.  The  Journal  does  not  generally  publish 
original  research  investigations  on  subjects  such  as 
pesticide  analytical  methods,  pesticide  metabolism,  or 
field  trials  (studies  in  which  pesticides  are  experimen- 
tally applied  to  a  plot  or  field  and  pesticide  residue  de- 
pletion rates  and  movement  within  the  treated  plot  or 
field  are  observed). 

Authors  are  responsible  for  the  accuracy  and  validity 
of  their  data  and  interpretations,  including  tables,  charts, 
and  references.  Pesticides  ordinarily  should  be  identi- 
fied by  common  or  generic  names  approved  by  national 
or  international  scientific  societies.  Trade  names  are 
acceptable  for  compounds  which  have  no  common 
names.  Structural  chemical  formulas  should  be  used 
when  appropriate.  Accuracy,  reliability,  and  limitations 
of  sampling  and  analytical  methods  employed  must  be 
described  thoroughly,  indicating  procedures  and  con- 
trols used,  such  as  recovery  experiments  at  appropriate 
levels,  confirmatory  tests,  and  application  of  internal 
standards  and  interlaboratory  checks.  The  procedure 
employed  should  be  described  in  detail.  If  reference  is 
made  to  procedures  in  another  paper,  crucial  points  or 
modifications  should  be  noted.  Sensitivity  of  the  method 
and   limits   of  detection   should   be   given,   particularly 


when  very  low  levels  of  pesticide  residues  are  being 
reported.  Specific  note  should  be  made  regarding  cor- 
rection of  data  for  percent  recoveries.  Numerical  data, 
plot  dimensions,  and  instrument  measurements  should 
be  reported  in  metric  units. 

PREPARATION  OF  MANUSCRIPTS 

Prepare  manuscripts  in  accord  with  the  CBE  Style 

Manual,  third  edition.  Council  of  Biological  Edi- 
tors, Committee  on  Form  and  Style,  American 
Institute  of  Biological  Sciences,  Washington,  D.C., 
and/ or  the  U.S.  Government  Printing  Office  Style 
Manual.  For  further  enrichment  in  language  and 
style,  consult  Strunk  and  White's  Elements  of  Style, 
second  edition,  MacMillan  Publishing  Co.,  New 
York,  N.Y.,  and  A  Manual  of  Style,  twelfth  edi- 
tion. University  of  Chicago  Press,  Chicago,  III. 

On  the  title  page  include  authors'  full  names  with 

affiliations  and  addresses  footnoted;  the  senior 
author's  name  should  appear  first.  Authors  are 
those  individuals  who  have  actually  written  or 
made  essential  contributions  to  the  manuscript  and 
bear  ultimate  responsibility  for  its  content.  Use 
the  Acknowledgment  section  at  the  end  of  the 
paper  for  crediting  secondary  contributor? 

Preface  each  manuscript  with  an  informative  ab- 
stract not  to  exceed  200  words.  Construct  this 
piece  as  an  entity  separate  from  the  paper  itself; 
it  is  potential  material  for  domestic  and  foreign 
secondary  publications  concerned  with  the  topic  of 
study.  Choose  language  that  is  succinct  but  not 
detailed,  summarizing  reasons  for  and  results  of 
the  study,  and  mentioning  significant  trends.  Bear 
in  mind  the  literature  searcher  and  his/her  need 
for  key  words  in  scanning  abstracts. 

Forward  original  manuscript  and  three  copies  by 

first-class  mail  in  flat  form:  do  not  fold  or  roll. 

Type   manuscripts   on   SVi-by-l  1-inch   paper  with 

generous  margins  on  all  sides,  and  end  each  page 
with  a  completed  paragraph.  Recycled  paper  is 
acceptable  if  it  does  not  degrade  the  quality  of 
reproduction.  Double-space  all  copy,  including 
tables  and  references,  and  number  each  page. 

Place    tables,    charts,    and    illustrations,    properly 

titled,  at  the  end  of  the  article  with  notations  in 
the  text  to  show  where  they  should  be  inserted. 
Treat  original  artwork  as  irreplaceable  material. 
Lightly  print  author's  name  and  illustration  number 
with  a  ballpoint  pen  on  the  back  of  each  figure. 
Wrap  in  cardboard  to  prevent  mutilation;  do  not 
use  paperclips  or  staples. 

Letter  charts  distinctly  so  that  numbers  and  words 

will  be  legible  when  reduced.  Execute  drawings  in 


Vol.  12,  No.  2,  September  1978 


97 


black  ink  on  plain  white  paper.  Submit  original 
drawings  or  sharp  glossy  photographs:  no  copies 
will  be  accepted. 

Number   literature  citations  in  alphabetical  order 

according  to  author.  For  journal  article  include, 
respectively,  author,  year,  title,  journal  name  as 
abbreviated  in  Chemical  Abstracts  Service  Source 
Index,  and  volume,  issue,  and  page  numbers.  For 
book  references  cite,  respectively,  author,  year, 
chapter  title,  pages,  and  editor  if  pertinent,  book 
title,  and  name  and  city  of  publisher.  For  Govern- 
ment manuals  list  originating  agency  and  relevant 
subgroup,  year,  chapter  title  and  editor  if  perti- 
nent, manual  title,  and  relevant  volume,  chapter, 
and/or  page  numbers.  Do  not  list  private  com- 
munications among  Literature  Cited.  Insert  them 
parenthetically  within  the  text,  including  author, 
date,  and  professional  or  university  affiliation  in- 
dicating author's  area  of  expertise. 

The  Journal  welcomes  brief  papers  reporting  monitor- 
ing data  of  a  preliminary  nature  or  studies  of  limited 
scope.  A  section  entitled  Briefs  will  be  included  as 
necessary  to  provide  space  for  short  papers  which  pre- 
sent timely  and  informative  data.  These  papers  must  be 
limited  to  two  published  pages  (850  words)  and  should 
conform  to  the  format  for  regular  papers  accepted  by 
the   Journal. 

Manuscripts  require  approval  by  the  Editorial  Advisory 
Board.  When  approved,  the  paper  will  be  edited  for 
clarity    and    style.    Editors    will    make    the    minimum 


changes  required  to  meet  the  needs  of  the  general 
Journal  audience,  including  international  subscribers 
for  whom  English  is  a  second  language.  Authors  of 
accepted  manuscripts  will  receive  edited  typescripts  for 
approval  before  type  is  set.  After  publication,  senior 
authors  will  receive  100  reprints. 

Manuscripts  are  received  and  reviewed  with  the  under- 
standing that  they  have  not  been  accepted  previously 
for  publication  elsewhere.  If  a  paper  has  been  given 
or  is  intended  for  presentation  at  a  meeting,  or  if  a 
significant  portion  of  its  contents  has  been  published 
or  submitted  for  publication  elsewhere,  notations  of 
such  should  be  provided.  Upon  acceptance,  the  original 
manuscript  and  artwork  become  the  property  of  the 
Pesticides  Monitoring  Journal. 

Every  volume  of  the  Journal  is  available  on  microfilm. 
Requests  for  microfilm  and  correspondence  on  editorial 
matters  should  be  addressed  to: 

Paul  Fuschini  (WH-569) 

Editorial  Manager 

Pesticides  Monitoring  Journal 

U.S.  Environmental  Protection  Agency 

Washington,  D.C.  20460 

For  questions  concerning  GPO  subscriptions  and  back 
issues  write: 

Superintendent  of  Documents 
U.S.  Government  Printing  Office 
Washington,  D.C.  20402 


98 


Pesticides  Monitoring  Journal 


The  Pesticides  Monitoring  Journal  is  published  quarterly  under  the  auspices  of  the 
Federal  Working  Group  on  Pest  Management  (responsible  to  the  Councii  on  Enviftua- 
mental  Quality)  and  its  Monitoring  Panel  as  a  source  of  information  on  pesticide 
levels  relative  to  humans  and  their  environment. 

The  Working  Group  is  comprised  of  representatives  of  the  U.S.  Departments  of  Api- 
culture; Commerce;  Defense;  the  Interior;  Health,  Education^  and  Welfare;  Stat«; 
Transportation;  and   Labor;  and  the  Environmental  Protection  Agency. 

The  Monitoring  Panel  consists  of  representatives  of  the  Agricultura)  Research  Service, 
Animal  and  Plant  Health  Inspection  Service,  Fxtension  Service,  Forest  Service, 
Department  of  Defense.  Fish  and  Wildlife  Service,  tieojogical  Survey,  Food  and  Drug 
Administration,  Environmental  Protection  Agency,  National  Manoe  Fiisbeirtej  Service., 
National  Science  Foundation,  and  Tentjessee  Valley  Authority. 

The  Pesticides  Monitoring  Journal  j«  puibilrshed  by  the  TechnicaJ  Service*  Division, 
Office  of  Pesticide  Programs,  V.S,  Environmental  Protection  Agency. 

Pesticide  monitoring  activities  of  the  Federal  Government,  particularly  in  those  agencies 
represented  on  the  Monitoring  Panel  which  participate  iiii  operation  of  the  nattonail 
pesticides  monitoring  network,  are  expected  to  be  the  principal  sources  of  data  and 
articles.  However,  pertinent  data  in  summarized  form,  together  with  discussions,  are 
invited  from  both  Federal  and  non- Federal  sources,  including  those  associated  witfe 
State  and  community  monitoring  programs,  universities,  hospitals,  and  nongovermneatal 
research  institutions,  both  domestic  and  foreign.  Results  of  studies  in  which  monitoring 
data  play  a  major  or  minor  role  or  serve  as  support  for  research  investigation  also 
are  welcome;  however,  the  Journal  is  not  intended  as  a  primary  medium  for  the 
publication  of  basic  research.  Publication  of  scientific  data,  genei.al  information,  trade 
names,  and  commercial  sources  in  the  Pesticides  Monitofing  Jmtrmd  does  nsA  represent 
endorsement  by  any   Federal  agency. 

Manuscripts  received  for  publication  are  reviewed  by  an  Editorial  Advisory  Board 
established  by  the  Monitoring  Panel.  Authors  are  given  the  benefit  of  review  comments 
prior  to  publication.  For  further  information  on  Journal  scope  and  manuscript  prepara- 
tion, see  Information  for  Contributors  at  the  back  of  this  issue. 

Editorial  Advisory   Board  members  are; 

John  R.  Wessel,  Food  and  Drug  Administration,  Chmrman 

Robert  L.  Williamson,  Animal  and  Plant  Health  Inspection  Servkf 

Anne   R.   Yobs,  Center  for  Disease  Control 

William   F.   Durham,  Environmental  Protection  Agency 

Gerald   E.   Walsh,   Environmental  Protection  A,gency 

G.    Bruce   Wiersma,   Environmental  Protection  Agency 

William  H.  Stickel,  Fish  and  Wildlife  Service 

Milton   S.    Schechter,   Agricultural  Research   Service 

Herman   R,    Feltz^   Geological  Survey 

Address  correspondence  to: 

Paul    Fuschini    (WH-569) 

Editorial    Manager 

Pesticides    Monitoring   Journal 

U.  S.  Environmental  Protection  Agei»ey 

Washington,   DC.   20460 


Editor 
Martha  Finaa 


CONTENTS 


Volume  12  December  1978  Number 

Page 
FISH,  WILDLIFE,  AND  ESTUARIES 

Pesticide  residues  in  estuuiine  mollitsks.  1977  versus  1972 — 

Natioiud  Pesticide  Monitoring  Program 99 

Philip  A.  Butler,  Charles  D.  Kennedy,  and  Roy  L.  Schutzmann 
Chlorinated  insecticide  and  PCB  residues  in  fish  and  mussels  of  east  coastal  waters  of  the  middle 
and  north  Adriatic  Sea.  1974-75  ^ 1 0: 

Mhiden  Picer,  Nena  Picer,  and  Marijan  Ahel 
Organochlorinc  residues  and  reproduction  in  the  little  hro)\n  bat.  Laurel,  Maryland — June  1976 1  13 

Donald  R.  Clark,  Jr..  and  Alex  Krynitsky 

SOILS 

Pesticide  residue  levels  in  soils  and  crops,  1 97 1 — National  Soils  Monitoring  Program  (III) 1  17 

Ann  E.  Carey,  Jeanne  A.  Gowen,  Han  Tai,  William  G.  Mitchell,  and  G.  Bruce  Wiersma 
Pesticide  application  and  cropping  data  from  37  states.  1971 — National  Soils  Monitoring  Program 137 

Ann  E.  Carey,  Jeanne  A.  Gowen,  and  G.  Bruce  Wiersma 

WATER 

Organochlorines,  cliolineslerase  iidiibitors,  and  aromatic  amines  in  Dutch  water  samples, 

September  1969-Deceinber  1975 149 

Ronald  C.  C.  Wcgman  and  Peter  A.  Greve 

BRIEF 

Organochlorine  pesticide  levels  in  Ottawa  drinking  water,  1976 163 

David  T.  Williams,  Frank  M.  Benoit,  Edward  E.  McNeil,  and  Rein  Otson 

APPI  NDIX  164 

Infortiiul'nnt  lor  Contributors . . ^  165 


FISH,  WILDLIFE,  AND  ESTUARIES 


Pesticide  Residues  in  Estuarine  MoUusks,  1977  versus  1972- 
National  Pesticide  Monitoring  Program 

Philip  A.  Butler,'  Charles  D.  Kennedy,"  and  Roy  L.  Schiitzmann" 


ABSTRACT 

Bivalve  moUusks  were  monitorecl  for  residues  of  20  organo- 
chlorine  and  organopliosphale  pesticides  and  polychtorinated 
biphenyls  in  spring  1977  in  87  of  the  181  estuaries  routinely 
monitored  on  a  monthly  basis  during  1965-72.  DDT,  the 
only  pesticide  delected  in  1977,  occurred  at  low  levels  in  one 
estuary  eacli  on  the  Atlantic  and  Pacific  coasts. 

Introduction 
In  1965  the  U.S.  Bureau  of  Commercial  Fisheries  ini- 
tiated a  program  to  monitor  shellfish  populations  for 
organochlorines.  In  cooperation  with  local  laboratories, 
about  ISO  permanent  monitoring  stations  in  15  coastal 
states  were  sampled  for  any  one  of  10  species  of  mol- 
lusks  monthly.  The  eastern  oyster,  Crassostrea  virginica. 
was  the  principal  species  collected  on  the  Atlantic  coast, 
and  C.  gigas  was  the  species  usually  monitored  on  the 
Pacific  coast.  The  program  continued  until  1972,  but 
not  all  areas  were  monitored  for  the  entire  period. 
About  8,100  samples  containing  15  pooled  individuals 
were  analyzed.  DDT  was  found  in  almost  all  samples. 
Dieldrin  was  the  next  most  commonly  detected  pesti- 
cide; residues  of  endrin,  mirex,  toxaphene,  and  poly- 
chlorinated  biphenyls  (PCBs)  were  detected  occasion- 
ally. By  1972,  there  was  a  clearly  defined  trend  toward 
fewer  and  smaller  residues  of  DDT  and  its  metabo- 
lites (/). 

Early  in  1977,  the  U.S.  Environmental  Protection 
Agency  monitored  mollusks  at  some  of  the  same  sites  to 
determine  further  trends  in  pollution  levels  after  the 
5-7-year  lapse. 


1  Ecological  Monitoring  Branch,  Technical  Services  Division,  U.S. 
Environmental    Protection   Agency.  Gulf   Breeze,   FL   .12561. 

-  Ecological  Monitoring  Branch.  Pesticides  Monitoring  Laboratory, 
U.S.  Environmental  Protection  Agency,  National  Soil  Testing  Labo- 
ratory Station.  MS  39529. 


Materials  and  Methods 
The  original  cooperating  laboratories  agreed  to  collect 
the  new  samples.  About  half  the  former  stations  where 
pesticides  had  been  found  consistently  a  decade  ago  were 
monitored  again.  Single  collections  of  30  bivalves  at 
each  site  were  made  just  before  or  during  early  stages  of 
the  spawning  cycle  so  that  tissue  lipid  levels  presumably 
would  approach  the  maximum. 

There  were  178  samples;  replicate  collections  were 
made  at  89  stations  in  87  estuaries.  Depending  on  the 
availability,  seven  species  of  mollusks  were  used  in- 
cluding the  freshwater  Asiatic  clam,  Corbicula  manilen- 
sis:  eastern  oyster,  Crassostrea  virginica:  Pacific  oyster, 
C.  gigas:  Atlantic  ribbed  mussel,  Geulcensia  demissa; 
northern  quahog,  Mercenaria  mercenaria:  soft-shell 
clam,  Mya  arenaria:  and  blue  mussel,  Mytilus  edidis. 
Oysters  were  sampled  in  63  estuaries,  mussels  in  14,  and 
clams  in  10  estuaries.  However,  clams  are  the  least 
satisfactory  as  biomonitors  (2). 

Two  samples  of  15  bivalves  each  were  collected  at  each 
station.  They  were  shucked  but  were  not  drained,  and 
were  homogenized  in  an  electric  blender.  A  single 
aliquot  of  about  50  g  from  each  pooled  sample  was 
preserved  with  50  ml  reagent  grade  methanol  and  mailed 
in  a  methylpentene  vial  to  the  EPA  Pesticides  Monitor- 
ing Laboratory  in  Bay  St.  Louis,  Mississippi,  for  analysis. 
Analytical  procedures,  detailed  elsewhere  (3),  pjcr- 
mitted  the  detection  of  20  organochlorine  and  organo- 
phosphate  pesticides  and  PCBs  (Table  I  ).  In  the  1965- 
72  program,  samples  were  screened  routinely  for  only 
1 1  of  the  more  persistent  organochlorine  pesticides. 

Results  and  Discussion 
The  salient  feature  of  the  1977  monitoring  data  was  the 
absence  of  detectable  pesticide  residues  in  85  of  the  87 


Vol.  12,  No.  3,  December  1978 


99 


TABIE   [,     Cotnpouneh  delected  hy  ehemUal  procedures 
usfd  in  monitoring  moUtisks 


OWMNOCmiORrNES 


0»G*NOimOSPH«TES 


Aldrin 

A-zinpho-^methyr 

GWordijBie 

Carbophenothion 

2DOT 

DEF 

Dleidrin 

ncmeton 

EndosiiU'iiii. 

rMaiinffin 

Heptachlor 

Ethion 

Lindane 

Vtalathion 

Merhovychtor 

Pararhion 

Mirex 

PhoFare 

PCB>i 

Toxaphene 

■Ti:ifli«»arm 

NOfE:  Liwer  detection  liniif  is  fO  MH/ks  for  all  compounds  cvcepi 
endo'iulfati.  -^  MS/I^P;  mcthoxythlor  and  eihion,  30  /it;  kp; 
mirev.,    PCBs,     iiixaphene.    carbophenothion,     and     DEF,    50 


estuaries  sampled  and  the  complete  absence  of  PCBs. 
On  the  Atlantic  coast,  oysters  from  two  adjacent  New 
Jersey  reefs,  and  owe  reef  on  the  Delaware  side  of  upper 
Dteissware  Baiy  contained  DDE.  Average  residue  in  the 
m  ssOT^ks-  was  3-3  ±.  15  ^g/kg.  Oysters  from  reefs 
efoscr  to  the  mouth  of  the  estuary  did  not  contain  de- 
tectablie  residues.  As  recently  as  1972,  every  monthly 
ovsteir  sanfvpte  on  the  New  Jersey  side  of  the  Bay  con- 
tained ahout  three  times  as  much  DDT  as  did  samples 
collected  in  1977,  as  well  as  residites  of  dieldrin  and 
PCBs.  The  fauna  in  Delaware  Bay  were  presumably 
contaminated  by  the  hundreds  of  tons  of  DDT  sprayed 
a«riallv  between  1950  and  1966  to  control  New  Jersey 
marsh  mosquitoes  (4). 

On  the  Pacific  coast,  bivalves  in  only  one  of  the  14 
estbwries  monitored  in  California  and  Washington  state 
Gonlained  pesticide  residues.  Replicate  samples  of  blue 
muss«ls  from  Muga  Lagoon,  about  35  miles  north  of 


Los  Angeles,  contained  DDT  and  its  metabolites,  TDE 
and  DDE,  at  the  average  level  of  122  Mg/kg.  A  decade 
earlier,  monthly  samples  of  mussels  from  this  station 
contained  i:DDT  residues  of  500-1.800  Mg/kg.  as  well  as 
traces  of  dieldrin  and  endrin. 

The  reliability  of  these  isolated  data  in  documenting  the 
virtual  disappearance  of  pesticide  pollution  from  estua- 
rine  water  is  dependent  on  knowledge  gained  from  the 
earlier  program  of  the  seasonal  aspects  of  waterborne 
pesticide  pollution.  Monthly  samples  in  that  study 
showed  that  pesticide  residues  in  intermittently  polluted 
areas  were  typically  present  in  the  spring,  and,  if  con- 
tinuously present,  were  usually  larger  in  the  spring, 
presumably  the  result  of  increased  river  runoff. 

The  decline  in  pollution  is  emphasized  by  comparison 
of  the  present  data  with  pesticide  residue  levels  and  in- 
cidence in  bivalves  from  the  same  estuaries  during  the 
final  12  months  of  the  earlier  program  (Table  2).  This 
table  shows  the  number  of  stations  monitored  in  each 
state  in  1977  but  does  not  repeat  the  1977  residue  data. 

Since  filter-feeding  bivalves  purge  themselves  of  organic 
residues  within  a  few  weeks  in  the  absence  of  continuing 
pollution  (2),  the  1977  data  show  essentially  the  dis- 
appearance of  pesticides  from  the  water  mass.  However, 
there  is  evidence  that  persistent  pesticides  have  not 
disappeared  entirely  from  most  of  these  estuarine  eco- 
systems. During  1972-76,  yearling  lish  of  several  species 
were  monitored  in  many  of  the  same  estuaries  from 
which  bivalves  were  collected  in  1977  (i).  Samples 
consisted  of  25  whole  fish  captured  twice  yearly.  In 
1976,  68  samples  or  36  percent  of  the  190  samples 
analyzed  contained  DDT  residues  at  levels  up  to  2,500 
Mg/kg;  22  percent  of  the  samples  also  contained  PCBs. 


TABLE  2.     Summary  of  pesticiilc  rcaidues  in  estuarine  moUusks  durinfi  the  final  12  montlis  of  the  1965-72  program 

in  those  estuaries  re-monitored  in  1977 


%   OF 

Arith. 

Other 

FiM*L  i: 

No.  OF 

No.  OF 

Samples 

Mean  of 

Residues 

Species 

$[*TP. 

Months 

Stations 

Samples 

WITH  DDT 

DDT,  MS/ kg 

Detected  > 

Monitored  - 

Alabama 

1968-69 

2 

10 

100 

102 

D 

2 

California 

1971-72 

14 

68 

96 

81 

D.E.P 

1,3,4,7 

Dclijware 

J968-69 

5 

58 

74 

44 

D 

2,4,5 

Florida 

1968-69 

6 

61 

85 

308 

D 

2 

Gesre^a 

1971-71 

5 

60 

20 

14 

D,T,P 

2 

Maine 

1969-70 

5 

36 

14 

29 

— 

6,8 

Maryland 

1969-70 

A 

11 

64 

25 

D 

2 

MissrsAtppi 

1971-72 

.1 

30 

63 

31 

— 

2 

New  Jersey 

1971-72 

.1 

IS 

100 

74 

D.P 

2 

New   York 

1971-72 

6 

67 

88 

40 

D 

2,5,7 

North  Carolina 

1971-72 

9 

88 

35 

46 

D 

2 

South  Carolina 

1968-69 

7 

83 

37 

24 

D.M 

2 

Tc)ta» 

1971-72 

6 

56 

73 

72 

D.E.T.P 

2 

Virpinia 

1971-72 

6 

24 

96 

36 

D.P 

2 

Wathin^lon  Male 

1967-68 

6 

72 

18 

20 

— 

3 

'  D=dieldrin,  E  — endrin.  M  =  mire«.  P  =  PCB,T=Ioxaphene. 

'  I.  Cnrlticula  manllensis,  Asiatic  clam;  2.  Crassoslren  viminica,  eastern  oyster;  3.  C.  gigas.  Pacific  oyster;  4,  Geut<en\ia  ilemissa.  Atlantic  ribbed 
muMcl;  5,  Mcrcenaria  mercenaria.  northern  quahog;  6.  Mia  iiremiria,  soft-shell  clam;  7,  Myiilus  <i/ii/i.i,  blue  mussel. 


100 


Pesticides  Monitoring  Journal 


The  residues  in  fish  are  probably  the  result  of  storage 
and  recycling  of  synthetic  pesticides  in  different  links  of 
the  food  web.  The  filter-feeding  mollusks  present  a 
more  realistic  picture  of  the  current  input  of  pesticides 
into  the  marine  environment.  However,  bivalves  must 
be  monitored  more  frequently  to  reflect  fluctuating 
pollution  patterns. 

Acknowledgment 

The  authors  are  grateful  to  the  staffs  of  the  many 
federal,  state,  and  university  agencies,  all  of  whom  par- 
ticipated enthusiastically  in  this  project. 


LITERATURE  CITED 

(  /  )  Butler.  P.  A.  1973.  Organochlorine  residues  in  esliuirinc 
mollusks,  1965-72 — National  Pesticide  Monitoring  Pro- 
gram.   Pestic.  Monit.  J.  6(4)  ;238-362. 

(2)  Butter,  P.  A.  1966.  Pesticides  in  the  marine  environ- 
ment.   J.  Appl.  Ecol.  3(Suppl.):253-259. 

(3)  Butler,  P.  A.,  and  R.  L.  Scliutzmann.  1978.  Residues 
of  pesticides  and  PCBs  in  estuarine  fish.  1972-76 — • 
National  Pesticide  Monitoring  Program.  Pestic.  Monit. 
J.  l2(2);51-59. 

(4)  Kluas,  E.  E.,  and  A.  A.  Beli.slc.  1977.  Organochlorine 
pesticide  and  polychlorinated  biphenyl  residues  in 
selected  fauna  from  a  New  Jersey  salt  marsh — 1967  vs. 
1973.    Pestic.  Monit.  J.   10(4) :  149-158. 


Vol.  12,  No.  3,  December  1978 


101 


Chlorinated  Insecticide  and  PCB  Residues  in  Fish  and  Mussels 
of  East  Coastal  Waters  of  the  Middle  and  North  Adriatic  Sea,  1974-75 ' 

Mladen  Picer,  Nena  Picer,  and  Marijan  Ahel" 


ABSTRACT 

Concinfrtitions  of  vliloriiuilcd  piwliciiles  tiiitl  polychloriiuilcd 
hiplicnyls  (PCBs)  were  determined  in  mussels  (Mytilus 
galloprovincialis)  and  ,eo/>_v  fish  (Gibius  sp.)  collected  in  four 
areas  located  in  eastern  coastal  waters  of  the  middle  and 
north  Adriatic  Sea.  Most  samples  were  collected  in  early 
sprint;  and  lale  summer  of  1974  and  1975. 

The  compounds  p.p'-DDT,  p.p'-DDE.  p.p'-TDE,  and  PCBs 
were  detected  n)Ost  frequently.  In  about  60  percent  of  the 
samples  dieldrin  was  al.w  detected. 


of  chlorinated  hydrocarbons  in  terrestrial,  freshwater, 
and  marine  ecosystems  (4,  //,  19). 

The  most  delicate  and  endangered  parts  of  world  oceans 
are  scmiclosed  formations  such  as  the  Mediterranean 
Sea  and  the  Adriatic  Sea.  The  Adriatic  Sea  is  shallow 
and  small,  and  its  northernmost  extension,  the  Gulf  of 
Trieste,  lies  virtually  in  the  heart  of  Middle  Europe; 
hence  it  is  among  the  most  jeopardized  marine  eco- 
systems in  the  world  (18). 


Average  wet-weif;ht  concentrations  of  ^DDT  and  PCBs  in 
mii.Ksels  from  the  four  areas  sampled  were:  Istrian  coast, 
65  and  76  pph:  Rijeka  Bay.  5S  and  75  pph:  Zadar,  36  and 
I2S  pph:  l.osinj  Island.  167  and  133  pph.  Average  concen- 
trations in  fish  sinnples  were:  Istrian  coast,  124  and  144  pph; 
Rijeka  Bay.  37  and  S2  pph:  l.osinj  Island.  166  and  157  pph. 
Dieldrin  concentrations  were  in  the  low  pph  range. 

Althongli  major  Italian  rivers  di.Kcharge  chlorinated  hydro- 
carhons  into  the  north  Adriatic,  sampling  of  biota  from 
Istrian  coastal  waters  indicates  no  significant  effect  on  the 
pollution  level.  llo»ever,  waste  waters  from  small  coastal 
settlements  evidently  do  contribute  significantly  to  chlori- 
nated hydrocarbon  contamination  of  that  ocean. 

Marine  samples  from  l.osinj  Island  had  high  chlorinated 
hydrocarh<m  concentrations,  indicating  uptake  of  pollutants 
from  the  north  Adriatic. 

Introduction 

Many  chlorinated  insecticides  and  industrial  aromatic 
chlorinated  hydrocarbons  such  as  polychlorinated  ben- 
zenes, naphthalenes,  biphenyls,  and  terphenyls  arc  ex- 
tremely resistant  to  degradation  in  the  environment  (12, 
22).  On  the  other  hand,  toxicological  and  other  harm- 
ful effects  of  these  compounds  on  aquatic  and  terrestrial 
ecosystems  are  well  documented  (2.  fi).  Thus  world- 
wide research  has  focused  on  the  occurrence  and  fate 


As  part  of  the  United  Nations  Development  Program 
assisted  project  "Protection  of  the  Human  Environment 
in  the  Yugoslav  Adriatic  Region,"  chlorinated  hydro- 
carbons were  measured  in  mussels  (Mytilus  gallopro- 
vincialis) and  in  some  benthic  fishes  (Guhius  sp.)  of  the 
eastern  coastal  water  of  the  north  and  middle  Adriatic 
and  near  Losinj  Island  (Figure  I). 

The  mussel  was  chosen  for  monitoring  chlorinated 
hydrocarbons  because  it  is  a  well-known  filter  feeder 
recommended  for  monitoring  many  organic  and  inor- 
ganic pollutants  (6).  The  goby  fish  was  selected  for  its 
restricted  living  area  and  high  tolerance  for  polluted 
seawater,  which  makes  it  a  logical  indicator  of  polluted 
marine  environments.  Other  fish  species  were  chosen  for 
their  popularity  as  food  among  local  populations. 

By  analyzing  chlorinated  hydrocarbon  contamination  in 
mussels  and  fish  from  the  eastern  waters  of  the  north 
and  middle  Adriatic,  authors  hoped  to  measure  regional 
pollution  caused  by  intensive  agricultural  and  indus- 
triiil  discharges  into  the  northern  Adriatic,  and  local 
pollution  of  two  nuclei,  the  Bay  of  Rijeka  and  the  town 
of  Zadar.  Losinj  Island  south  of  the  Bay  of  Rijeka  was 
chosen  as  a  clean  reference  area  because  it  has  no  sig- 
nificant industry  or  agriculture  and  it  is  not  heavily 
populated. 


*  Study  Mippt>rt(;d  in  purl  by  Sclf-Maiui^-umcnt  Coninmniiy  <if  Inlcrcsi 

for  Sticntllk-  Research  of  S.  R    t'roaii:i 
-Ccmre  for  Marine  Research.  Rudjer  BosKovic  Instinilc.  41001  Zaiireh. 

Croatia.  Yugoslavia. 


Saniplini^  and  A  tudysi.s 
Mussels  were  collected  manually  or  by  dredging  in  inter- 
tidal  or  very  shallow  water.    Soft  tissue  was  removed 


102 


Pesticides  Monitoring  Journal 


FIGURE    I.     Aclriiilic  Sea,  with  areas  .\aiiiplccl  for  chlorinatecl  insect'nidc  and  PCS  residues  in  marine  biota 


from  the  shell,  placed  in  aluminum  foil,  and  frozen. 
The  foil  had  been  cleaned  with  redistilled  petroleum 
ether  and  heated  at  200  C  for  12  hours.  Samples  con- 
sisted of  20-30  individual  animals  with  shells  3-5  cm 
long.  For  the  extraction  of  chlorinated  hydrocarbons 
a  suhsample  of  10  g  was  taken  by  a  clean  scalpel. 
Sample  remains  were  frozen  for  analysis. 

Goby  lish  were  taken  from  the  sea  by  angle,  placed  in 
clean  aluminum  foil,  and  frozen  within  a  few  hours  of 
capture.  Each  sample  consisted  of  six  individual  fishes 
8-12  cm  long.  Samples  of  single  fish  were  obtained 
from  commercial  catches  in  local  markets.  The  .speci- 
men was  measured  and  weighed,  its  dorsolateral  surface 
was  scraped  clean,  and  10  g  of  epaxial  white  muscle 
tissue  was  removed  by  a  clean  scalpel. 


Ten  g  of  muscle  tissue  and  10  g  of  anhydrous  Na^,S04 
were  concurrently  homogenized  and  extracted  twice 
with  75  ml  petroleum  ether  in  a  Lourdes  blender  for  3 
minutes.  Each  extract  was  decanted  into  an  Erlenmeyer 
flask  and  left  overnight  for  settling  of  fine  particles  and 
then  filtered  through  a  3-cm-high  column  of  anhydrous 
NajSOj.  The  aliquot  of  extract  was  evaporated  to  dry- 
ness and  the  residue  of  extracted  organic  matter  was 
weighed  and  recorded. 

Samples  were  cleaned  as  recommended  by  Holden  and 
Marsden  (9).  Mirex  was  added  as  an  internal  standard 
prior  to  concentration  of  the  sample  extract  with  50- 
100  mg  lipid  residue.  The  sample  extract  was  con- 
centrated to  1  ml  under  vacuum  by  means  of  a  rotary 
evaporator  and  applied  to  a  6-mm-lD  column  holding 


Vol.  1 2,  No.  3,  December  1 978 


103 


2  g  alumina.  The  akiniina  had  hccn  prepared  by  heat- 
ing activated  alumina  (Brockmann  activity  I)  at  500°C 
for  12  hours  and  partly  deactivated  by  adding  5  percent 
distilled  water  by  weight.  Elation  was  performed  with 
1  5  ml  hexanc. 

PCBs  were  separated  from  organochlorine  insecticides  on 
a  miniature  silica  gel  column  according  to  the  modified 
method  of  Snyder  and  Reinert  (/.^,  17).  Hexane  eluate 
was  evaporated  to  1  ml  and  applied  to  a  10-mm  column 
holding  100  mm  silica  gel.  The  gel  was  activated  for 
18  hours  at  200 'C.  After  cooling  to  room  temperature, 
/i-pentane  was  added  and  column  was  filed  with  a  mix- 
ture of  /j-pentante  and  silica  gel.  Elution  started  with 
32  ml  //-pentane  and  was  completed  with  40  ml  benzene. 
The  first  eluate  contained  PCBs  and  mirex:  the  second 
contained  p.p'-T)DE.  /J.p'-DDT.  />,p'-TDE,  and  dieldrin. 

A  Hewlett-Packard  7620  model  gas  chromatograph 
(GC)  equipped  with  "^jvij  electron-capture  detector 
was  used.    Operating  parameters  for  GC  analysis  were; 


Columns: 


Tc-tnpcralurcs: 


Carrier  gas: 
Flow  rale: 


(A)  1.8-m-by-4-mni  glass  packed  with  1.5  per- 
cent SP-225()  +  1.95  percent  SP-2401  on 
100/120  mesh  Supelcon  AW-DMCS 

(B)  I.5-tn-by-4-mm  glass  packed  with  4  per- 
cent SE-.TO  +  6  percent  OV-210  on 
100/120  mesh  Gas-Chrom  Q 

Injector      240°C 

Column     210°C 

Detector    250°C 

5  percent  methane  in  argon 

.^0  ml/ minute 


Organochlorine  compounds  were  quantitated  by  compar- 
ing peak  areas  in  sample  and  standard  chromatograms. 
PCBs  were  determined  by  using  a  standard  solution  of 
Aroclor  1254. 

Experiments  comparing  aldrin  and  mirex  as  internal 
standards  showed  mirex  to  be  superior.  Mirex  was  used 
as  an  internal  standard  throughout  the  analyses  because 
it  is  rather  easily  separttted  from  PCBs  on  a  GC  column. 
Its  loss  was  used  as  a  measure  of  recovery  in  this  study; 
in  fact,  recovery  of  chlorinated  hydrocarbons  varied 
between  68  and  87  percent. 

For  the  confirmatory  test  samples  with  higher  contents 
of  DDT  were  hydrolyzed  by  KOH  (10). 

Sensitivity  of  DDT  and  its  metabolites  is  1  ppb  wet 
weight  and  for  PCBs  it  is  10  ppb. 

In  some  samples  low  concenlralions  of  dieldrin  were 
fotiiul  hut  the  data  are  not  reported  in  this  paper. 

The  niethot.1  of  organochlorine  determination  was  inter- 
calibrated  within  the  International  Intercalibration  Pro- 
gram on  Chlorinated  Hydrocarbons  in  Marine  Materials 
funded  by  the  United  Nations  Environmental  Program 


(UNEP).  Results  obtained  in  the  Centre  for  Marine 
Research  were  relatively  close  to  the  mean  values  after 
excluding  disproportionately  high  residues  according 
to  criteria  of  Chauvenet  (5,  14). 

Results  and  Discussion 
Concentrations  of  chlorinated  hydrocarbons  in  mussels 
and  fish  from  coastal  waters  of  the  eastern  Adriatic  are 
presented  in  Table  1.  Distribution  frequencies  of  -DDT 
and  PCBs  in  mussel"  and  fish  samples  are  presented  in 
Figure  2.  The  level  of  organochlorine  concentrations 
varied  widely,  which  is  not  unreasonable  considering 
the  unusual  pollution  pattern  and  hydrography  of  the 
Adriatic  Sea  and  the  complexity  of  the  biotic  samples 
analyzed. 

Figures  3  and  4  present  arithmetic  means  and  ranges 
of  DDT  and  its  metabolites,  dieldrin,  and  PCBs  in 
mussels,  goby  fishes,  and  several  species  of  benthic 
fishes.  Although  14  species  of  benthic  fishes  were 
analyzed  in  the  present  investigation,  results  are  pre- 
sented only  for  those  species  which  had  three  or  more 
valid  samples  analyzed.  Except  for  gobies,  fish  species 
are  presented  by  decreasing  order  of  summed  pesticide 
and  PCB  concentrations.  Comparing  these  two  de- 
creasing orders  shows  that  the  position  of  fish  species 
differs  according  to  whether  the  concentrations  of  pollut- 
ants are  presented  as  wet  weight  or  as  extracted  organic 
matter.  But  both  figures  indicate  that  fish  species  living 
in  similar  environments  and  eating  similar  food  have 
similar  concentrations  of  pollutants. 

Most  specimens  of  goby  fishes  were  caught  in  highly 
polkited  coastal  waters,  especially  semiclosed  harbors 
polluted  with  industrial  and  domestic  wastes,  but  con- 
centrations of  chlorinated  hydrocarbons  in  these  fishes 
are  not  significantly  higher  than  in  other  commercial 
fishes  such  as  mullet,  annular  gilthead,  and  black  tail 
sea  bream.  However,  these  differences  become  signifi- 
cant when  concentrations  of  pollutants  are  compared 
as  extracted  organic  matter  (Figure  4). 

Stations  for  monitoring  chlorinated  hydrocarbon  pollu- 
lioii  of  eastern  coastal  waters  of  the  north  and  the 
middle  Adriatic  Sea  are  located  in  four  dilfercnt  areas. 
The  Istrian  coastal  area  belongs  to  the  northern  region 
o(  the  Adriatic  Sea;  Rijeka,  Zadar,  and  Losinj  areas  be- 
long to  the  so-called  Region  of  Islands  (IS).  The 
northern  region  of  the  Adriatic  is  predominantly  alfected 
by  river  waters  from  northern  Italy  which  create  the 
most  severe  pollution  problem  in  the  whole  Adriatic. 
Intensive  urban,  tourist,  agricullural.  and  industrial  de- 
velopment in  both  coastal  areas  contributes  to  the  prob- 
lem. 1  he  Region  of  Islands  inekides  water  surrounding 
nearly  1000  islands  along  the  eastern  Adriatic  coast 
and   scmiseparated   waters   between   islands   and    main- 


104 


PnsTiciDr.s  Monitoring  Journal 


TABLE   1.     Chlorinated  hydiocwboii  concentrations  in  fish  and  mussels  of  east  coastal  waters 
of  middle  and  north  Adriatic  Sea,  1974-75 


Sampling 

p.p-DDT 

P.p' 

-DDE 

P-P' 

■TDE 

DlELDRlN 

PCBs 

Station 

EOM. 

wet 

EOM, 

WET 

EOM. 

WET 

EOM. 

WET 

EOM. 

WET 

EOM, 

No. 

Species' 

Date 

r^ 

WEIGHT 

PPM 

WEIGHT 

PPM 

WEIGHT 

PPM 

WEIGHT 

PPM 

WEIGHT 

PPM 

ISTRIAN  COAST 

1 

M.G. 

March  1974 

1.63 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

1 

M.G. 

March  1974 

1.25 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

2 

M.G. 

March  1974 

2.79 

ND 

ND 

8 

1.40 

ND 

ND 

ND 

ND 

2 

M.G. 

Sept.     1974 

0.71 

29 

4.10 

21 

3.00 

26 

3.60 

ND 

NO 

85 

11.97 

2 

M.G. 

Sepl.     1974 

n.37 

13 

3.50 

13 

3.40 

14 

3.80 

1 

0.32 

34 

9.20 

2 

M.G. 

March  1974 

2.94 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

2 

G. 

Sepl.      1974 

(1.84 

16 

1.90 

15 

1.80 

13 

1.60 

2 

0.24 

ND 

ND 

3 

M.G. 

March  1974 

1.16 

23 

1.94 

18 

1.51 

10 

1.81 

3 

0.26 

ND 

ND 

3 

M.G. 

March  1974 

2.53 

41 

1.65 

15 

0.60 

13 

0.53 





25 

0.98 

3 

M.G. 

March  1974 

8.03 

45 

0.56 

39 

0.48 

17 

0.21 





115 

1.43 

3 

M.G. 

Sepl.     1974 

0.62 

15 

2.41 

19 

3.05 

20 

3.22 

4 

0.58 

ND 

ND 

3 

M.G. 

Sept.     1974 

0.62 

34 

5,48 

29 

4.68 

38 

5.13 

9 

1,45 

168 

27.10 

3 

M.G. 

Sept.     1974 

1,37 

27 

1.93 

49 

3.28 

28 

2.12 

4 

0,25 

85 

6.20 

4 

M.G. 

Oct.      1972 

3.79 

105 

2.78 

30 

0.80 

53 

1.40 





367 

9.68 

4 

M.G. 

March  1973 

1.52 

35 

2.30 

65 

4.30 

44 

2.90 





256 

16.80 

5 

M  G. 

Oct.      1972 

2.26 

ND 

ND 

1 

0.05 

ND 

ND 





4 

0.16 

5 

M.G. 

March  1973 

1.22 

ND 

ND 

ND 

ND 

ND 

ND 





ND 

ND 

5 

M.G. 

Oct.      1975 

0.41 

2 

0.44 

1 

0.16 

1 

0.16 

ND 

ND 

ND 

ND 

D.A. 

Sept.     1974 

4.05 

130 

3.21 

80 

1.98 

40 

0.99 

13 

0,31 

195 

4.80 

O.M. 

Sept.     1974 

1.30 

45 

3.53 

27 

2.07 

29 

2  22 

4 

0.34 

45 

3.50 

B.B. 

Sept.     1974 

2.75 

133 

4.85 

43 

1.87 

30 

1.09 

— 

— 

422 

15.35 

P.E. 

Sept.     1974 

0.91 

9 

0.99 

14 

1.54 

5 

0.48 

1 

0.12 

45 

4.90 

M.A. 

Oct.       1973 

1.57 

24 

1.5 

29 

1.84 

!5 

0.95 

ND 

ND 

ND 

ND 

O.M. 

Sept.     1974 

2.76 

60 

2.17 

35 

1.30 

18 

0.65 

4 

0.15 

80 

2.90 

P.E. 

Sept.     1974 

2.59 

4 

0,15 

16 

0.62 

13 

0.50 

■) 

0.08 

ND 

ND 

M.B. 

Sepl.     1974 

2.64 

30 

1.13 

20 

0.76 

14 

0.53 

6 

0.24 

ND 

ND 

M.A. 

Sept.     1974 

3.67 

64 

1.95 

48 

1.31 

76 

2.07 

15 

0.40 

520 

14.20 

RIJEKA  AREA 

1 

M.G. 

March  1974 

0.52 

ND 

ND 

ND 

ND 

ND 

ND 

— 

— 

ND 

ND 

1 

M.G. 

March  1974 

0.80 

15 

1.85 

7 

0.87 

ND 

ND 

— 

— 

8 

0.94 

1 

M.G. 

Sept.     1974 

0.68 

5 

0.74 

4 

0.53 

4 

0.53 

ND 

ND 

11 

1.60 

1 

M.G. 

Sept.     1974 

1.25 

12 

0.95 

5 

0.40 

13 

1.02 

ND 

ND 

192 

14.20 

1 

G. 

Sept.     1974 

0,89 

X 

0.84 

9 

0.96 

3 

0.35 

1 

0.07 

27 

3.10 

1 

M.G. 

March  1974 

2,20 

131 

6,05 

49 

2.22 

32 

1.45 

ND 

ND 

23 

1.03 

2 

M.G. 

March  1974 

0.74 

7 

1.25 

5 

0.65 

10 

1.28 

0.3 

0.09 

ND 

ND 

2 

M.G. 

March  1974 

1.20 

83 

6.90 

21 

1.77 

10 

0.79 

ND 

ND 

75 

6.20 

2 

M.G. 

March  1974 

1 .05 

28 

2.52 

9 

0.90 

7 

0.65 

ND 

ND 

8 

0.84 

2 

M.G. 

March  1974 

1.35 

15 

1.10 

8 

0.51 

7 

0.54 

— 

— 

9 

0.65 

2 

M.G. 

March  1974 

1.20 

63 

5.20 

28 

2.30 

38 

3.15 

— 

— 

128 

9.80 

2 

M.G. 

Sept.      1974 

0.74 

8 

1.02 

4 

0.47 

12 

1.57 

ND 

ND 

168 

22.50 

2 

M.G. 

Sept.     1974 

0.82 

7 

0.85 

2 

0.25 

8 

1.02 

ND 

ND 

75 

9.10 

2 

M.G. 

Sept.     1974 

0.63 

23 

3.65 

4 

0.55 

22 

3.42 

ND 

ND 

83 

13.20 

-) 

M.G. 

Sept.     1974 

0.56 

42 

7.50 

5 

0.80 

48 

8.60 

ND 

ND 

77 

13.70 

-t 

M.G, 

Sept.      1974 

0.58 

22 

3.80 

8 

1.29 

35 

6.20 

ND 

ND 

164 

28.20 

3 

M.G. 

March  1974 

1.70 

23 

1.32 

5 

0.28 

11 

0.54 

3 

0.18 

63 

3.70 

3 

M.G. 

Sept.     1974 

0.56 

13 

2.20 

6 

1.03 

9 

1.60 

2 

0.29 

64 

11.40 

3 

G. 

Sept.     1974 

1.06 

8 

0.72 

5 

0.43 

9 

0.85 

1 

0.12 

168 

15.90 

4 

M.G. 

March  1973 

1.10 

49 

4.50 

17 

1.54 

6 

0.52 

— 

— 

234 

21.40 

4 

M.G. 

Oct.      1975 

0.24 

■> 

0.79 

1 

0.42 

1 

0.59 

ND 

ND 

26 

10.60 

5 

G. 

Oct.       1975 

3.29 

49 

1.48 

86 

2.60 

14 

0.44 

ND 

ND 

159 

4.90 

D.A. 

Sept.     1974 

2.03 

4 

0.17 

2 

0.10 

2 

0.10 

1 

0.05 

15 

0.76 

M.A. 

Oct.       1975 

4.15 

35 

0.85 

32 

0.78 

28 

0.67 

8 

0.20 

355 

8.60 

B.B. 

Oct.       1975 

14.13 

30 

0.21 

29 

0.20 

10 

0.07 

10 

0.07 

174 

1.20 

M.B. 

Sept.     1974 

1.95 

ND 

ND 

9 

0.46 

10 

0.52 

ND 

ND 

115 

5.85 

P.E. 

Sept.      1974 

0.53 

4 

0.72 

6 

1.10 

1 

0.15 

— 

— 

4 

0.71 

M.Mer. 

Sept.     1974 

0.32 

14 

4.40 

14 

4.40 

2 

0.77 

— 

— 

8 

2.35 

M.Mer. 

Oct.        1975 

1.75 

20 

1.11 

8 

0.47 

8 

0.47 

ND 

ND 

98 

5.57 

G.M. 

Oct.      1975 

0.92 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

25 

2.70 

MB. 

Oct.       1975 

2.52 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

53 

2.08 

P.D. 

Sept.     1974 

1.20 

11 

0.92 

22 

1.84 

5 

0.35 

1 

0.13 

28 

2.30 

L.C. 

Sept.      1974 

0.66 

12 

1.82 

19 

2.80 

7 

1.14 

2 

0.24 

20 

3.00 

ZADAR  AREA 

1 

M.G. 

March  1974 

3.20 

14 

0.42 

9 

0.28 

ND 

ND 

— 

— 

ND 

ND 

1 

MG. 

March  1974 

2.60 

17 

0.64 

9 

0.33 

ND 

ND 

— 

— 

ND 

ND 

1 

M.Ci. 

Sept.      1974 

0.93 

13 

0.13 

1 

0.07 

19 

2.04 

1 

0.07 

ND 

ND 

1 

M.G. 

Sept.      1974 

0.87 

33 

3.80 

3 

0.32 

ND 

ND 

2 

0.26 

80 

9.20 

1 

G. 

March  1974 

1.69 

ND 

ND 

ND 

ND 

ND 

ND 

— 

— 

ND 

ND 

1 

G. 

Sept.     1974 

1.17 

8 

0.68 

6 

0.51 

7 

0.60 

-> 

0.14 

ND 

ND 

2 

M.G. 

March  1974 

1.10 

7 

0.59 

7 

0.59 

ND 

ND 

— 

— 

ND 

ND 

2 

M.G. 

March  1974 

1.40 

n 

0.81 

4 

0.28 

5 

0.43 

ND 

ND 

ND 

ND 

2 

M.G. 

March  1974 

1.70 

63 

3.70 

28 

1.52 

11 

0.62 

— 

— 

200 

11.60 

2 

M.G. 

March  1974 

1.76 

37 

2.25 

14 

0.78 

23 

1.32 

ND 

ND 

345 

19.50 

2 

M.G. 

March  1974 

1.07 

33 

3.10 

10 

0.97 

20 

1.87 

4 

0.37 

390 

36.50 

{Continued  next  page) 


Vol.  12,  No.  3,  December  1978 


105 


TABLE   1    (cont'd.). 


Chloriiwreil  hydiocurhon  coiiceiiliiitions  in  fish  unci  ntnssels  of  east  coastal  waters 
of  middle  and  north  Adriatic  Sea,  1974-75 


Station 
No.       Species' 


M.C. 

M.G. 

M.G. 

M.G. 

M.G. 

G. 

G. 


M.G. 

M.G. 

M.G. 

M.G. 

M.G. 

M.G. 

M.G. 

G. 

G. 

O. 

M.G. 

M.G. 

M.G. 

M.G. 

M.G. 

G. 

G. 

M.A. 

D.A. 

D.A. 

O.M. 

O.M. 

B.B. 

M.B. 

P.E. 

B.S. 

B.S. 

S.S. 

M.Ma. 


Sampling 
Date 


Sepl. 
Sept. 
Sept. 
Sept. 
Sept. 


1974 
1974 
1974 
1974 
1974 


March  1974 
Sept.     1974 


March 

March 

March 

Sept. 

Sept. 

Sept. 

Oct. 

March 

March 

Sept. 

March 

March 

.Sept. 

Sept. 

Oct. 

March 

Sept. 

Oct. 

Sepl. 

Oct. 

Sepl. 

Oct. 

Sept. 

Oct. 

Ocl. 

Sept. 

Oct. 

Oct. 

Oct. 


1974 
1974 
1974 
1974 
1974 
1974 
1975 
1974 
1974 
1974 
1974 
1974 
1974 
1974 
1975 
1974 
1974 
1975 
1974 
1975 
1974 
1975 
1974 
1975 
1975 
1974 
1975 
1975 
1975 


EOM. 


0.49 
0.72 
071 
1.66 
(1.76 
0.70 
1.60 


1.58 
1.60 
1,60 
0.78 
0.73 
0.57 
0.84 
1.41 
1.30 
0.73 
1.40 
2.20 
1.13 
1.20 
0.52 
1.60 
1.48 
9.41 
15.40 
1.57 
3.11 
1.65 
2.00 
8.61 
0.6(1 
1.68 
2.00 
3.78 
1.31 


p.p'-DDT 


p.p'-DDE 


p.p'-TDE 


WET 

weight 


5 
6 
18 
7 
6 
43 
17 


375 
46 

138 
8 
25 
8 
33 
«(l 
78 
44 

119 

128 
27 
13 
30 
94 
17 

172 

215 
7 
82 
25 
43 
42 
17 
8 

ND 
15 
90 


EOM, 

PPM 


WET 
WEIGHT 


EOM. 
PPM 


1.02 
0.76 
2.55 
0.42 
0.79 
6.07 
1.06 

LOSINJ 

23.80 
2.90 
8.60 
0.98 
3.42 
1.32 
3.86 
6,4(1 
6.00 
6.(14 
8,50 
5,80 
2.38 
1.08 
5.80 
5.61 
1.15 
1.83 
1.39 
0.44 
3.65 
1.50 
2.12 
0.49 
0.88 
0.65 
ND 
0,36 
6.90 


2 
4 

18 

6 

7 

113 

14 


0.45 
0.50 
2.55 
0.34 
0,92 
16,07 
0.85 


ISLAND 


25 

61 

5 

7 

5 

16 

45 

30 

68 

44 

39 

27 

9 

24 

20 

59 

107 

158 

3 

70 

15 

38 

85 

16 

7 

ND 

21 

62 


5.50 
1.56 
3.85 
0.50 
0.95 
0.79 
1.88 
3.20 
2.30 
9.32 
3.13 
1.76 
2.38 
0.71 
4.62 
1.20 
3.95 
1.14 
1.03 
0.18 
2.25 
0.91 
1.87 
0.99 
2.63 
0.39 
ND 
0.50 
4.75 


WET 
W1;I0H1 


3 
5 

24 
14 

7 
68 

2 


134 

44 

75 

8 

46 

22 

33 

98 

83 

870 

38 

41 

159 

78 

27 

19 

250 

130 

120 

1 

50 

10 

14 

37 

6 

8 

ND 

ND 

30 


EOM. 

PPM 


0.65 
0.69 
3.38 
0.80 
0,92 
9.64 
0.10 


8,50 
2.70 
4.70 
0.98 
6.30 
3.80 
3.86 
6.91 
6.40 
119.00 
2.73 
1.85 
14.10 
6,50 
5.20 
1.13 
17.00 
1.38 
0.78 
0.07 
1.60 
0.61 
0.69 
0.43 
1.00 
0.45 
ND 
ND 
2.30 


DlELDRlN 


PCBs 


WET 
WEIGHT 


EOM. 

PPM 


ND 

ND 

1 

1 

ND 

2 

3 


ND 
ND 
ND 
ND 
ND 
4 
3 


ND 
ND 
ND 

ND 

ND 

13 

1 

7 
ND 

5 
ND 

5 

ND 

4 


ND 
ND 
0.20 
0,07 
ND 
0.29 
0.16 


0.43 

ND 
ND 
ND 
ND 
ND 
0.31 
0.40 


ND 
ND 
ND 

ND 

ND 
0.08 
0.07 
0.22 
ND 

0.06 
ND 

0.27 
ND 

0,1(1 
0,13 


WET        EOM. 
WEIGHT  PPM 


II 

36 
326 
336 

36 
148 

11 


200 
138 
ND 
120 
222 
157 

94 
ND 

43 
152 
ND 
112 
130 
202 
220 
724 
112 
295 
360 

14 
624 

90 
151 
128 

54 
ND 
ND 
102 

40 


2.30 

5  00 
46.00 
22.20 

4.80 
21.10 

0.68 


12.70 

8.60 

ND 

15.40 

.30.40 

27.50 

1 1 .20 

ND 

3.30 

20.80 

ND 

5.40 

11.30 

16.90 

42.30 

45.10 

7.60 

3.12 

2.34 

0.86 

20.00 

5.50 

7.50 

1.50 

9.00 

ND 

ND 

2.40 

3.05 


=  Ciihlus  (several 


Note-  ND  =  not  detectable;  —  =  not  measured;  EOM  =  extracted  organic  matter.  , 

•Names  of  species  in  Latin.  English,  and  Croatoserbian;  M.G.  =  Mytllm  K„IU>rr„nnch,li>>.  Mediterranean  mussel,  Dagnia;0. 
species).  Goby.  Glavoc;  D.A.  =   Dipl.ulm  ann„lans  L.,  Annular  Billhead,  Spar;  O.M.    --    OI,h.l.,  melanma  L,    Saddled  hre,,m    Usat,,     B_B 
L.ps  h„„nst..   Bo.ue.  Bukva;  P.E,    --    r.,..lU,.   cryllninu.    L„   Pandora,   Rumcnac;   M.A,    =-    Mu.il  .unans   nssu    Oo\dcn   f--'>'   •^"»^'-   S*-°^t^ 
zlalac;  M.B.  ..  M„Ls  hurhan.s.  Red  mullet.  Barhun:   MMer.    ..   MvrUun,.  nurlucm   L..  Hake,  Osl.c;  CM.    =    Gc,d„s  ,m-rla„m   L..  Whil  ng. 
Mol-  L.C.  ^  Lcp,J,„mla..,,lc,„e  Lae..  unknown.  Cucn,  B.S.  -.  fl»-vv  ,sc,;,.«  1...  Saupe,  Salpa;  S.S.  =  Scnm,„s  scnlm  L..  Panned  comber,  Pirka. 
M.Ma.  .=  Muena  maem,  L.,  Caockarel,  Modrak;  T.D.  =-  Tracluims  Jraca  L..  Greater  weever.  Pauk  bijelac. 


laniJ.  Sparsely  populated  karstic  islands  and  mountains, 
with  modest  agriculture  and  almost  no  industry,  con- 
stitute the  hinterland  of  these  waters.  But  also  in  this 
region  are  several  pollution  nuclei:  the  Bay  of  Rijeka 
and  nearby  towns  of  Bakar.  Zadar,  and  Sibcnik;  the 
Bay  of  Kastela  and  the  neighboring  town  of  Split. 

Chlorinated  hydrocarbon  pollutants  of  marine  environ- 
ments can  originate  from  such  land-based  sources  as 
direct  industrial  discharges,  sewage,  and  rubbish.  But 
indirect  discharges  of  these  pollutants,  especially  as  agri- 
cultural runoff  of  pesticides  and  farm  wastes  into  rivers, 
also  contribute  signiticanlly  to  their  concentration  in 
marine  environments  (4.  7.  16).  These  direct  and  in- 
direct discharges  are  the  most  common  sources  of  local 
pollution.  Air  is  an  important  secondary  source  of 
chlorinated  hydrocarbon  pollution  (/);  wet  and  dry 
lalloul  contributes  to  the  regional  or  even  global  pollu- 
tion of  the  marine  environment. 


Concentrations  of  i:DDT,  dieldrin,  and  PCBs  in  mussels, 
goby  lishes,  and  other  benthic  fishes  according  to  their 
sampling  areas  are  presented  in  Figures  5-7.  Stationary 
species  of  mussels  and  goby  fishes,  which  are  indicators 
of  local  pollution,  were  often  sampled  near  the  source 
of  waste  discharges.  Other  benthic  fishes  indicate 
broader  areas  of  pollution.  Data  in  the  figures  show 
differences  in  arithmetic  means  of  residues  in  mussels, 
goby  fishes,  and  benthic  fishes  between  the  areas  inves- 
tigated. Since  concentrations  vary  considerably,  -DDT 
and  PCB  residues  in  mussels  and  benthic  fishes  were 
analyzed  in  order  to  find  whether  arithmetic  means 
diller  significantly  among  the  areas  investigated  (Table 
2).  Mussels  from  the  Losinj  area  had  significantly 
higher  concentrations  of  i:DDT  than  had  those  from 
any  other  area  investigated.  Significantly  higher  PCB 
concentrations  were  found  in  the  l.osinj  area  than  along 
the  Istrian  coast  and  Bay  of  Rijeka,  but  PCB  residues 
were    lower   than    were    DDT   concentrations.     In    fish 


106 


Pesticides  Monitoring  Journal 


2i 
22 
20 

181- 
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20    iO     60    80    100  m  UO  160  180  200  220  240  260  280  300  320  340  360  380  400  4^0  550  650 


FISH 


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100  120   140    160  180  200  220  240  260  280  300  320  340  360  400  500  600  700 

CONCENTRATIONS,   ppb  wet    weight 

FIGURE  2,     Distrihiilioii  frcquciKtes  of  ZDDT  and  PCBs  in  nui.sseh  and  fish  from  cost  coastal  waters 

of  middle  and  north  Adriatic  Sea 


samples,  the  only  concentrations  that  differed  signifi- 
cantly by  area  were  -DDT  concentrations  in  samples 
from  Rijeka  Bay  versus  those  from  the  Losinj  area  and 
in  samples  from  the  Istrian  coast  versus  those  from  the 
Rijeka  area.  PCB  concentrations  did  not  differ  sig- 
nificantly. 

Table  3  shows  significant  differences  in  arithmetic 
means  of  i:DDT  and  PCB  concentrations  in  fish  and 
mussel  samples  from  the  same  area.  No  major  difference 
between  -DDT  and  PCB  concentrations  is  indicated 
in  mussels  and  benthic  fishes  from  the  same  area.  Sig- 
nificant difference  appears  only  in  -DDT  concentrations 
in  fish  from  the  Istrian  coastal  area. 

The  ratio  of  PCB  and  pesticide  concentrations  fre- 
quently is  used  for  identifying  chlorinated  hydrocarbon 
pollution  of  marine  areas.  If  this  ratio  is  higher  than  1, 
the  source  of  pollution  is  more  likely  industrial  than 
agricultural.   The  ratios  of  PCB  and  -DDT  concentra- 


tions in  samples  investigated  during  the  present  moni- 
toring program  are  given  in  Figure  8.  Only  in  the 
Rijeka  area  is  this  ratio  significantly  higher  than  1  for 
all  the  indicator  organisms  investigated. 

To  determine  main  sources  of  chlorinated  hydrocarbon 
pollution  in  eastern  Adriatic  coastal  waters,  correlation 
between  ^DDT  and  PCB  concentrations  in  mussel  and 
fish  samples  was  investigated  (Figure  9).  Statistical 
results  of  the  analysis  are  presented  in  Table  4  as 
Pearson's  correlation  coefficients. 

Significant  correlation  between  concentrations  of  -DDT 
and  PCBs  existed  only  in  mussels  from  the  Istrian  coastal 
area  and  fish  from  the  Rijeka  area.  This  suggests  two 
possibilities:  ditTercnt  sources  of  DDT  and  PCB  residues 
in  the  areas  investigated,  or  different  uptake  and  loss 
pathways  of  -DDT  and  PCBs  for  mussels  and  fish. 

Several  papers  have  been  published  on  investigations 
of  chlorinated  hydrocarbons  in  Adriatic  biota  and  sedi- 


VoL.  12,  No.  3,  December  1978 


107 


10' 


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SPECIES    SAMPLED 
(See   Table  I    footnote.) 


MB 


PE. 


FIGURE  3.     Coitccntriilions  (wel  weiglil)  of  ':i:DDT.  dichlrin,  and  PCBs  in  niii\sels  and  fish  from  east  coastal  waters 

of  middle  and  north  Adriatic  Sea 


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SPECIES    SAMPLED 
(See   Table  I    footnote.) 


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MCillRF  -4.     Concenlrutions  (extracted  i>ri;anic  matter)  of  ZDDT.  dieldrin.  and  l'(  lis  in  masscls  and  fish 
from  east  coastal  waters  of  middle  and  north  Adriatic  Sen 


108 


Pesticides  Monitoring  Journal 


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FIGURE  5.     Comparison  of  "ZDDT.  diclclriii.  and  PCB  concentrations  in  mussels  from  cast  coastal  n'aters 

of  middle  and  north  Adriatic  Sea 


FIGURE  6. 


10' 


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Ji 

a. 
a 


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0. 


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01 


W W  I  E  O.M        W.wIe.O.M.        W.wI  E  O.M         WW   E  O.M 
ISTRA  RIJEKA  ZADAR  LOSINJ 

Comparison  of  '^DDT.  dieldrin,  and  PCB  concentrations  in  .i;ohy  fishes  from  cast  coastal  waters 
of  middle  and  north  Adriatic  Sea 


Vol.  12,  No.  3,  December  1978 


109 


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FIGURE  7.     Compornon  of  -DDT,  (/icUliiii,  and  I'CB  concentrations  in  hvnihic  fishes  from  east  coastal  waters 

of  niithllc  and  north  Adriatic  Sea 


TABLE  2.     Results  of  Student's  t-test  for  :iDDT  and  PCB 

concentrations  in  mussels  and  fish  from  same  areas 

of  middle  and  north  Adriatic  Sea,  1974-75 


SlGNIHt  ANI 

DtFKtRENCn  OF 

Arithmi  tic  Means 

2  DDT 

PCBs 

CUMPARFI)  ARKAS 

Mussels 

Fishes 

Mussels 

Fishes 

Islrian  coasi— Rijcka 

None 

0.01 

None 

None 

Islrian  coasi — Zudar 

(1.1 

NC 

None 

NC 

Islrian  coast — Losinj  Isl 

ind    0.1 

None 

0.1 

None 

Rijcka — Zadar 

0.1 

NC 

0.1 

NC 

Rijcka— Losinj  Island 

0.01 

0.05 

0.1 

None 

Zudar — Losinj  Island 

0.01 

NC 

None 

NC 

Noie;  NC  =  nol  calculated. 


TABLE  y.     Rcsidls  of  Student's  t-test  for  i;/)D 7  and  PCB 

concentrations  in  mussels  and  fish  from  same  areas 

of  middle  and  north  Adriatic  Sea,  1974-75 


SlGNIFICANl    DtFFFRENtl 

OF  ARI1HME1IC  Means 

ARE* 

i;Di)T 

I'CBs 

Islrian  coasl 
Rijeka 
Losinj  Island 

n.o5 

None 
None 

None 
None 
None 

merits  (.?.  /5,  /<S',  20.  21).  But  diflkulties  of  analyzing 
chlorinated  hydrocarbons  in  marine  samples  are  nu- 
merous (5,  14),  and  results  of  the  present  study  were 
not  compared  with  published  results  because  analytical 
methods  of  the  various  studies  have  not  been  inter- 
calibrated. 

Conclusions 
Analyses   of   chlorinated    hydrocarbons   in   biota   from 
eastern  coastal  waters  of  the  middle  and  north  Adriatic 
sea  lead  authors  to  several  conclusions. 

Although  major  north  Italian  rivers  polluted  with  chlori- 
nated hydrocarbons  discharge  their  loads  into  the  North 
Adriatic,  samples  from  Islrian  coastal  waters  did  not 
have  significantly  higher  concentrations  of  these  pollut- 
ants than  did  other  waters.- 

High  concentrations  of  chlorinated  hydrocarbons  in 
marine  organisms  from  Losinj  Island  indicate  a  probable 
uptake  of  pollutants  in  North  Adriatic  waters. 

Chlorinated  hydrocarbon  levels  often  dilter  dramaticall) 
in  samples  collected  at  stalioiis  which  are  close  together. 


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TABLE  4.  Pearson's  coefficient  of  concldlion  lu'twccn 
-DDT  and  PCS  concentrations  in  mussels  and  fisli  from 
coastal  waters  of  middle  and  north  Adriatic  Sea.  1974-75 


Area 


Mussels 


Fish 


Istrian  coast 
Rijeka 
Zadar 
Losinj  Island 


0.927 

0.205 

0.712 

-0.069 


0.740 
0.815 
NC 
0.578 


Note:  NC^not  calculated. 


possibly  because  the  first  station  waters  had  been  con- 
taminated with  waste  waters  and  the  second  station  had 
not.  Evidently  urban  waste  waters  even  from  small 
settlements  contribute  significantly  to  the  contamination 
of  Adriatic  coastal  waters  bv  chlorinated  hydrocarbon 
pollutants. 

LITERATURE  CITED 

(/)  Bidleinan.  T.  P..  and  C.  E.  Ohiey.  1974.  Chlorinated 
hydrocarbons  in  the  Sargasso  Sea  atmosphere  and 
surface  water.    Science   1S3(4I24):  516-518. 

(2)  Cope.  O.  B.  1971.  Interactions  between  pesticides  and 
wildlife.   Ann.  R.  Ent.  61(3  )  :325-332. 

( .' )  Crisetif,'.  (!..  P.  Cortcsi.  and  E.  Carpene.  1973.  Resi- 
dties  of  chlorinated  pesticides  and  polyehlorinated 
biphenyls  in  gonads  of  Adriatic  clupei  form  fishes. 
La  Niiova  Vet.  46(3  ):  144-149. 

(4)  Elder.  D.  t97f>.  PCB's  in  N.W.  Mediterranean  coastal 
waters.    Mar.  Polkit.  Bull.  7(2):63-64. 

(5)  Elder.  D.  1976.  Inlercalibralion  of  organochlorine 
compound  measurements  in  marine  environmental 
samples.    Progress  report  No.  I,  pp.  1-25. 

(6)  Goldlwri,'.  E.  D.  1976.  Health  of  the  oceans.  Pages 
168-169  in  The  Health  of  the  Oceans.  The  Unesco 
Press,  Paris. 

(7)  Hansen.  D.  J.,  and  A.  J.  Wilson.  Jr.  1970.  Significance 
of  DDT  residues  from  the  esluary  near  Pensacola,  Fla. 
Pestic.   Monit.  J.  4l2):51-56. 

(8)  Hayes,  W.  ].,  Jr.  1969.  Pesticides  and  human  toxicity. 
Ann.  N.Y.  Acad.  Sci.  16()(  1  )  :4(K54. 

(9)  Holdeti.  A.  v..  and  K.  Marsden.  1969.  Single-stage 
clean-up  of  animal  tissue  extracts  for  organochlorine 
residue  analysis.    J.  Chromatogr.  40(1  )  :48  1-492. 

Ud)   Jensen.  .V.,   /..  Reidteri;.  and  R.    Vaz.    1975.     Methods 
for    analysis    of    DDT    and    PCB    in    environmental 


samples  using  chromatographic  methods.  FAO  Fisht 
Tech.  Pap.   137:229-236. 

(//)  hUinson.  T.  O.  1972.  Chlorinated  hydrocarbon  resi- 
dues in  marine  animals  of  Southern  California.  Bull. 
Environ.  Contam.  Toxicol.  7(4)  ;223-228. 

(12)  Peakall.  D.  B.,  and  J.  L.  Lincer.  1970.  Polyehlorinated 
biphenyls,  another  long-life  widespread  chemical  in 
the  environment.    Bio  Science  20(  17  )  :958-964. 

(li)  Picer,  A/.,  and  M.  Ahel.  1978.  Separation  of  PCB's 
from  DDT  and  its  analogues  on  a  miniature  silica  gel 
column.   J.  Chromatogr.  150(  I) :  1 19-127. 

(14)  Picer.  N..  M.  Picer,  and  M.  Aliel.  1976.  Discussion  of 
international  intercalibration  results  of  organochlorine 
compound  measurements  in  marine  environmental 
samples.  Proc.  Second  Yugoslav  Symposium  Standard- 
ization.   October  1976,  G2,  pp.  1-9. 

(15)  Revclante,  N..  and  M.  Gilmartin.  1975.  DDT,  related 
compounds,  and  PCB  in  tissues  of  19  species  of 
Northern  Adriatic  commercial  fishes.  Invest.  Pesq. 
39(2):491-507. 

(16)  Schmidt,  T.  T..  R.  W.  Risehrough.  and  F.  Cress.  1971. 
Input  of  polyehlorinated  biphenyls  into  California 
coastal  waters  from  urban  sewage  outfalls.  Bull. 
Environ.  Contam.  Toxicol.    6(4):235-242. 

(17)  Snyder.  D.  E..  and  R.  E.  Reinert.  1971.  Rapid  separa- 
tion of  polyehlorinated  biphenyls  from  DDT  and  its 
analogues  on  silica  gel.  Bull.  Environ.  Contam.  Toxi- 
col. 6(5):385-390. 

(18)  Slim,  J.,  A.  Avein.  J.  C  encelj,  M.  Dorer,  S.  Comiscck, 
S.  Kveder,  A.  Malej,  D.  Meischner.  I.  Nozina.  J.  Paid, 
and  P.  Tusnik.  1974.  Pollution  problems  of  the  Adri- 
atic Sea,  an  interdisciplinary  approach.  Rev.  Int. 
Oceanogr.  Med.    35-36:21-77. 

(19)  Ten  Berge.W.  F..  and  M.  Hillehrand.  1974.  Organo- 
chorine  compounds  in  several  marine  organisms  from 
the  North  Sea  and  Dutch  Wadden  Sea.  Neth.  J.  Sea 
Res.  S(4):36I-368. 

(20)  Viviani.   R..   C.  Crisetif.   V.  Pelmzzi.  and  P.  Cortcsi. 

1973.  Residues  of  chlorinated  pesticides  and  poly- 
ehlorinated biphenyls  in  Adriatic  clupei  form  fishes. 
Coll.  Int.  Oceanogr.  Med.   Messina  5:607-621. 

(21  I    I'iviani.   R..  G.  Crisetig.  P.  Cortcsi.  and  E.  Carpene. 

1974.  Residues  of  polyehlorinated  biphenyls  and 
chlorinated  pesticides  in  fishes  and  birds  of  the  Po 
Estuary.  Rev.  Int.  Oceanogr.  Med.  35-36:79-89. 

(22)  Woodwcl.  G.  M..  P.  P.  CraiK,  and  H.  A.  John.son.  1971. 
DDT   in   the   biosphere:    where   does   it   go?    Science 

174(40141:1101-1107. 


112 


Pesticioes  Monitoring  Journal 


Organochlorine  Residues  and  Reproduction  in  the  Little  Brown  Bat, 
Laurel,  Maryland — June  1976 

Donald  R.  Clark,  Jr.,  and  Alex  Krynitsky^ 


ABSTRACT 

Twelve  of  43  pregnant  Utile  brown  hats  (Myotis  lucifugus) 
collected  at  Montpelier  Barn.  Laurel.  Maryland,  gave  birth 
to  dead  young.  Eleven  of  tliese  12  dead  neonates  were  ab- 
normally snuill.  Most  of  the  stillbirths  were  attributable  to 
unknown  reproductive  difficulties  associated  with  first  preg- 
nancies, but  four  may  have  been  due  to  high  concentrations 
of  polychlorinated  biphenyls  (PCB)  in  the  newborn.  Residues 
of  the  PCB.  DDE.  and  oxyclilordane  crossed  the  placenta  at 
similar  rates. 


Moore,  Inc.,  Fort  Washington,  Pennsylvania)  and  the 
occlusal  tip  width  of  the  upper  canine  (canine  tip  width, 
CTW)  was  measured  with  an  ocular  micrometer  in  a 
30  X  dissecting  microscope.  This  measurement  is  an 
indicator  of  relative  age  (/). 

Pregnant  bats  were  fed  mealworms,  larvae  of  the  beetle 
Tenehrio  molitor.  samples  of  which  had  been  found 
free  of  organochlorine  residues. 


Introduction 

A  study  of  wild-caught,  pregnant  big  brown  bats 
{Eptesicus  fiiscus)  suggested  that  Aroclor  1260.  a  poly- 
chlorinated biphenyl  (PCB),  caused  young  to  be  still- 
born (3).  However,  experimental  elevation  of  Aroclor 
1260  levels  produced  no  additional  stillbirths  (2).  The 
results  indicated  only  that  both  stillbirths  and  high  levels 
of  Aroclor  1260  were  characteristic  of  young  adult 
female  big  brown  bats. 

The  present  study  was  undertaken  after  dead  neonate 
little  brown  bats  (Myotis  lucifugus)  were  observed  at 
Laurel,  Maryland,  roosts.  Authors  wished  to  determine 
whether  high  organochlorine  residues  are  associated  with 
stillbirths  of  little  brown  bats  and,  if  so,  whether  this 
association  resembles  that  found  in  big  brown  bats. 

Materials  and  Methods 

On  June  3,  1976,  45  pregnant  little  brown  bats  were 
collected  in  Montpelier  Barn  at  the  Montpelier  Mansion 
State  Historical  Site,  Laurel,  Prince  Georges  County, 
Maryland.  Bats  were  confined  individually  at  Patuxent 
Wildlife  Research  Center  in  stainless  steel  wire  mesh 
cages,  18  cm  X  22  cm  X  37  cm,  equipped  with  rodent 
watering  bottles.  Laboratory  temperature  averaged 
28. 2X.   Subdued  sunlight  entered  two  draped  windows. 

Before  being  caged,  the  bats  were  anesthetized  indi- 
vidually with  the  inhalant  anesthetic  Metofane  (Pittman- 


•  Fish  and  Wildlife  Service.  U.S.  Department  of  the  Interior.  Patuxent 
Wildlife  Research  Center,  Laurel,  MD  20811. 


Parturition  began  June  3,  and  the  last  young  was  born 
June  13.  All  pregnancies  prodticed  single  young.  After 
parturition,  each  female  and  her  young  were  killed  by 
freezing.  Two  females  never  gave  birth:  one  died  of 
unknown  causes  June  8,  and  the  other  was  frozen  June  8 
because  she  apparently  was  not  pregnant  although  a 
small  embryo  (0.564  g)  was  found  during  dissection. 

ANALYTICAL  PROCEDURES 

Adults  were  prepared  for  analysis  as  carcasses;  young 
were  analyzed  whole,  except  for  removal  of  the  gastro- 
intestinal tract,  according  to  procedures  described  pre- 
viously (2).  Gastrointestinal  tracts  were  left  in  several 
small  fetuses  (0.9  g  or  less)  where  removal  would  have 
been  diflicult. 

Samples  were  ground  with  anhydrous  sodium  sulfate. 
The  dried  mixture  was  extracted  with  hexane  in  a  paper 
extraction  thimble  on  a  Soxhiet  extractor  for  about  7 
hours.  The  extract  was  cleaned  by  Florisil  column 
chromatography,  and  the  cluate  containing  the  pesticides 
and  PCB  was  fractionated  by  Silicar  column  chroma- 
tography (5).  The  fractions  were  analyzed  with  a 
Hewlett-Packard  Model  5753  gas-liquid  chromatograph 
equipped  with  a  '"'Ni  detector,  automatic  sampler,  and 
computing  integrator.  Instrument  parameters  and  oper- 
ating conditions  follow: 

Column:  glass.    1.83  m.  packed  with   a  mixture  of    1.5  per- 

cent OV-17  and   1.95  percent  QF-1 

Temperatures:  column  aOCC.  detector  300»C.  injection  port 
250°C 

Carrier  gas:  5    percent    methane    in    argon    flowing    at    60    ml/ 

minute;  purge  flow,  40  ml/minute 


Vol.  12,  No.  3,  December  1978 


113 


^ete  anafyztfcf  Hot  p.  (/-DDE,  p-y-TDE,  />.//- 

DDT.,  rfiefiirin;.  endrin,  fteptiielivteT  efxn-ide.  mirex,  oxy- 
sIlfcTctene,  r(A'-chl(ird.ii>e.  tram^nonnch\0f,  ch-nonacMor, 
hevvKhfiorobenrzenc  (HCB),  to^'xaphcne,  asnd  PCB*,  The 
PTB  that  Was  peeovercd  re^«fflfbfcd  Arocfor  \2fiO  in  alt 

C<»S€S. 

Resewsife'*  from  spiked  maHard  dwck  (Anm  platyrhyii- 
e/jwvV  Jisswss  rafiged  from*  80  W  \04  percetif.  R«»«due 
dat»  «rers  not  adjiPited  on  the  ha*i»  of  these  rccovcTies. 
The  foweT  liftwf  of  sensitivity  was  0,  {  ppm.  Residues  in 
f©  peteeTrt  »{  the  sample*  were  confirmed  on  an  LKB 
Model  9000  g»s-liqi«id  chromatograph-mass  spcclrom- 
eiet  G»peTated  as  descfibed  previously  (-^>.  Samples  for 
onw  a*{tri{  antf  fwe  yoimg  were  tost  during  analysis. 
Kescrfts  are  given  as  ppm  wet  weight. 

GewnTetriHs  msaffis-  are  given  for  ^esid^^es  because  the 
daf<i  were  pesiti^eJy  ske~wed.  Arithmetic  means  are 
givfew  with  ssa^tfdard  errors;;  gewnetrie  means  are  given 
wilt*  95  persew  cowfkfence  intervals  (CI),  Residue 
Pe^sfo  reportedl  as  not  dcteeied  (ND)  were  entered  as 
tetm.  t&  aiffow  ec^nverspen  to  logs  and/ or  machine 
pfotriffg  of  fhie  rfaia,  a  constant  was  added  to  each  value 
iff  fhose  da'ta  series  that  incliuJed  zeros  (Fig,  \).  Re- 
gre'ssi«w  Itrtes  w^ere  fitted  by  the  least-squares  method. 

Remits  and  Discussion 

co«*£»iriow  iff  NEWBORN  LirrtE  brown  bats 

Of  45  hsm  that  gave  birth,  12  f27.9  percent)  produced 
dead  yowtg.  Eleven  of  the  12  dead  yotmg  weighed  less 
(0.048-0, 869  g.>  thart  the  smallest  liveborn  bat  (1.072  g). 
T>te  twelfth  dead  neonate  weighed  1.541  g,  Si.\  of  the 
12  dead  young  were  partly  eaten  by  their  mothers:  one 


5  32  ' 


< 

r 
& , 
O" 

z 
1 

-b1« 


m     0 


•  hve    born    ysun; 

•  stillbor  n     young 
O^^il/born    young. 


0  6  12  18  24 

PCB     ppm   *»t    w«,ghi     +   0.1      IN     NEWBORN     BAT 

FIGURE   1.    Helaiionship  of  weight  as  a  percent  of  tiiliill 

female  Hcivhl  to  Aroclor  1260  concentration 

amonii  41  neonatal  little  hrown  hats 

(Sample  includes  all  neonates  except  two  whose  extracts 

were  lost  during  chemical  analysis, ) 


young  was  missing  its  wing  tips;  a  second,  one  wing  and 
one  foot;  and  a  third,  both  wings  and  both  feet.  Only 
the  head  and  the  vertebral  column  of  the  fourth  re- 
mained, and  only  heads  remained  of  the  other  two. 

Total  weights  of  the  six  young  were  estimated  from  the 
remaining  portions.  Estimations  for  the  latter  three 
young  were  based  on  a  head-length-to-body-weight  re- 
lationship derived  from  the  undersized  dead  young  that 
were  recovered  intact.  The  incompleteness  of  these  six 
specimens  probably  did  not  seriously  bias  the  results  of 
the  chemical  analyses  'except  perhaps  for  the  latter 
three,  which  may  actually  have  contained  higher  con- 
centrations of  chemicals  than  were  estimated  because 
most  of  the  young  bats'  fat.  and.  therefore,  residues, 
was  in  the  body  portions  eaten  by  the  mother.  Never- 
theless, residues  of  the  PCB  for  these  three  bats  (6.1, 
12.  and  25  ppm)  exceeded  the  mean  (Table  1)  and  in- 
cluded the  maximum. 

Wimsatt  (6)  observed  several  times  that  a  majority  of  a 
group  of  females  of  Myotis  liicifugiis  in  advanced  preg- 
nancy aborted  their  fetuses,  usually  stillborn,  within  a 
few  hours  of  removal  from  a  colony.  He  attributed  this 
result  to  handling  or  confinement.  In  the  present  study, 
dead  young  tended  to  be  more  common  among  later 
births,  but  beyond  this  tendency  there  was  no  clear 
pattern.  When  all  43  births  were  divided  into  four 
groups  of  11.  11.  11,  and  1 0  according  to  chronological 
order,  the  incidences  of  dead  young  were  9.1,  18.2, 
54.5.  and  30,0  percent,  respectively.  So.  the  possible 
roles  of  handling  and  confinement  in  stillbirths  were 
not  clarified  by  the  present  study. 

TABLE    1.     Principal  or^anochlorinc  residues  in  adult 

female  Utile  brown  hats  and  llieir  younf;,  Laurel,  Aiaryland — 

Jane  1976 


Residues. 

PPM  Wet  Weight 

Adults 

Young 

Chemical 

(n  =  44) 

("  =  43) 

PCB  (Aroclor  1260) 

Geomelric  mean 

11.38 

4.16' 

95 ri  CI 

9.68-13.38 

3,08-5,61 

Range 

3.6-24 

ND-25 

DDE 

Geometric  mean 

1.65 

0,50  = 

95%  CI 

1,50-1.82 

0,36-0,69 

Range 

0.72-3.4 

ND-2,2 

DDT 

Geometric  mean 

0.08'' 

4 

95%  CI 

0.05-0.13 



Range 

ND-1.0 



Oxychlordane 

Geometric  mean 

0.45  = 

4 

95%i  CI 

0.33-0.60 



Range 

ND-1  6 



t3ieldrin 

Geometric  mean 

0.13" 

4 

95%  CI 

0,08-0,19 



Range 

ND-0,94 

— 

NOTE:   CI  —  confidence  interval;  ND  —  not  delected. 
'  Residue  was  not  delected  in  1  sample. 
-Residue  was  not  detected  in  2  samples. 
'Residue  was  not  detecled  in  !2  samples. 
'  Residue  was  not  detected  in  20  or  more  samples. 
Residue  was  not  detected  in  7  samples. 


114 


Pesticides  Monitoring  Journal 


GENERAL  LEVELS  OF  RESIDUES 

Except  for  the  PCB,  levels  of  organochlorines  in  females 
and  their  young  were  generally  low  (Table  1)  and 
similar  to  those  found  in  big  brown  bats  from  Mont- 
pelier  Barn  (3).  Levels  of  the  PCB  in  adult  little  brown 
bats  were  5.8  times  greater  than  those  found  in  the  June 
1974  collections  of  big  brown  bats;  the  amounts  in  new- 
born little  brown  bats  were  3.5  times  greater  than  those 
in  newborn  big  brown  bats  (i). 

Eighteen  pregnant  big  brown  bats  that  had  been  dosed 
with  Aroclor  1260  (2)  contained  1.8  times  the  concen- 
tration found  in  little  brown  bats  in  the  present  study 
when  their  carcasses  were  analyzed  after  parturition. 
The  young  of  big  brown  bats  contained  a  mean  residue 
of  4.38  ppm,  similar  to  the  mean  residue  of  4.16  ppm 
found  in  neonates  in  the  present  study. 

PLACENTAL  TRANSFER  OF  RESIDUES 

Amounts  in  micrograms  of  the  PCB,  DDE,  and  oxy- 
chlordane  in  yoimg  were  computed  as  percentages  of 
the  amounts  in  adults,  using  the  29  females  whose  live- 
born  young  appeared  to  be  full-term.  The  results  were 
13.2  ±  1.3  percent,  14.3  ±  1.5  percent,  and  8.6  ±  1.7 
percent,  respectively.  Paired  I  tests  showed  that  the 
average  percentage  for  oxychlordane  was  significantly 
less  than  that  of  either  of  the  other  chemicals.  However, 
1 3  of  the  values  for  oxychlordane  in  newborns  were 
zero  (not  detected),  and  when  zero  values  were  elimi- 
nated (;i  =  16)  the  respective  averages  became  15.6  ± 
1.9  percent,  17.0  ±  2.2  percent,  and  15.5  ±  1.6  per- 
cent and  there  were  no  significant  differences.  Elimi- 
nation of  zeros  was  probably  justified  for  this  compar- 
ison because  the  small  absolute  amounts  of  oxychlordane 
made  their  detection  less  likely.  These  percentages 
resembled  those  for  both  control  and  dosed  big  brown 
bats  when  Aroclor  1260  was  fed  experimentally  (2), 
but  they  were  lower  than  one  of  two  percentages  for 
Aroclor  1260  and  higher  than  both  percentages  for 
DDE  found  earlier  in  big  brown  bats  that  had  not  been 
dosed  (3). 

RESIDUES  AND  DEAD  YOUNG 

Dead  young  averaged  more  than  twice  as  much  PCB 
(mean  =  6.68  ppm,  ii  =  12)  as  did  live  young 
(mean  =  3.04  ppm,  n  =  29),  but  the  difference  was 
not  significant  at  the  95  percent  level  (t  =  1.91, 
01  >  P  >  0.05).  Levels  of  DDE  and  oxychlordane 
were  almost  identical  in  dead  and  live  young. 

Possible  effects  of  the  PCB  on  weight  of  the  young 
were  calculated  by  correlating  the  ppm  PCB  in  the 
young  with  the  weight  of  the  young  expressed  as  a 
percentage  of  adult  female  weight;  the  result  (Fig.  1) 
was  significant  ( ;•  =  -0.47,0.01  >  p>  0.001).  When 
the  six  data  points  based  on  estimated  weights  were 
eliminated,  the  relationship  remained  significant   {r  — 

Vol.  12,  No.  3,  December  1978 


—0.46.  0.01  >  p  >  0.001 ).  Although  this  relationship 
suggests  that  the  PCB  may  have  caused  some  neonates 
to  be  small,  the  plotted  data  in  Figure  1  also  indicate 
that  neonates  may  at  the  same  time  be  small  and  con- 
tain little  PCB.  A  similar  analysis  for  DDE  produced 
no  significant  correlations. 

To  determine  whether  weight  of  the  young  was  related 
to  residues  in  adult  females,  a  correlation  was  made 
between  weight  of  the  young  as  a  percentage  of  adult 
female  weight,  and  ppm  of  the  PCB.  DDE,  DDT, 
oxychlordane,  and  dieldrin  in  adult  females.  No  sig- 
nificant relationships  were  found.  Also,  females  that 
produced  dead  young  did  not  contain  residues  signifi- 
cantly higher  than  those  of  females  that  produced  live 
young. 

RESIDUES  IN  FEMALES  COMPARED  WITH  RESIDUES  IN 
YOUNG 

The  relationships  between  total  micrograms  of  the 
PCB,  DDE,  and  oxychlordane  in  adult  females  and  in 
their  newborii  young  were  tested  using  all  29  pairs  of 
females  and  young  in  which  the  neonates  were  entire 
and  of  normal  size.  Micrograms  of  residues  in  the 
young  were  dependent  in  a  positive,  linear  fashion  on 
the  amount  in  the  adult  female:  PCB  r  =  0.74, 
p  <  0.001;  DDE  r  =  0.60.  p  <  0.001;  oxychlordane 
/•  =  0.48,  0.01  >  p  >  0.001.  Similar  relationships 
were  found  in  other  bat  species  {3,  4). 

RESIDUES  COMPARED  WITH  DAYS  IN  CAPTIVITY 

Micrograms  of  residues  of  the  PCB,  DDE,  DDT,  oxy- 
chlordane, dieldrin,  and  »-fl/j.s-nonachlor  in  carcasses  of 
adult  females  were  compared  to  days  in  captivity  for 
all  44  females  in  which  residues  were  measured.  Only 
oxychlordane  declined  significantly,  from  an  average 
2.6  Mg  to  1.0  Mg.  The  1 1 -day  interval  was  probably  too 
short  to  produce  any  major  declines  such  as  that  for 
PCBs  found  earlier  in  big  brown  bats  confined  for  43 
days  (3). 

RESIDUES  COMPARED  WITH  AGE  OF  FEMALE 

No  correlations  were  found  between  age  estimated  by 
CTW  and  residues  (total  Mg  in  females  plus  young, 
n  =44)  of  the  PCB,  DDE,  DDT,  oxychlordane,  diel- 
drin, and  /coHj-nonachlor,  whereas  PCB  residues  de- 
clined significantly  with  age  in  big  brown  bats  (2,  3). 

CAUSE  OF  STILLBIRTHS 

Aroclor  1260  did  not  cause  stillbirths  in  big  brown  bats, 
but  high  PCB  levels  and  stillbirths  were  associated  be- 
cause both  occurred  more  often  in  younger  parent  female 
bats  (2.  3).  In  the  present  study,  CTW  and  PCB  con- 
centrations were  not  correlated.  Furthermore,  when 
CTW  for  females  with  dead  young  (mean  =  0.1 169  ± 
0.0213  mm,  n  =  12)  was  compared  with  CTW  for 
females  with  live  young  (mean  =  0.1217  ±  0.0130  mm, 

115 


It  =  31).  the  dilTcrcncc  was  highly  significant  among 
big  hrown  hatsr  {2).  Nevertheless,  there  appears  to  be 
an  association  between  age  and  incidence  of  stillbirths. 
Among  the  neonates  represented  in  Figure  1,  there  were 
.seven  small  dead  bats,  less  than  16  percent  of  the 
female  parent's  weight  that  had  PCB  concentrations 
equal  to  or  less  than  7  ppm.  Five  of  the  seven  female 
parents  of  these  bats  showed  no  wear  on  their  canines 
and  were  probably  yearlings  producing  their  first  off- 
spring. Among  the  30  neonates  that  were  heavier  than 
16  percent  of  the  female's  weight  (Fig.  1).  only  nine 
showed  no  canine  wear.  The  difference  between  these 
ratios  is  significant  (.v'-'  =  4.14.  0.05  >  p  >  0.01). 
Threfore,  unknown  reproductive  difficulties  associated 
with  first  pregnancies  probably  accounted  for  most  of 
the  young  that  were  born  dead.  Beyond  these,  however, 
there  remain  the  four  dead  young  with  the  largest 
amounts  of  the  PCB  (12,  13,  18,  and  25  ppm);  none 
of  their  female  parents  was  a  yearling. 

Therefore,  high  levels  of  the  PCB  may  have  caused 
four  young  bats  to  be  born  dead,  hut  feeding  studies 
with  captive  bats  are  needed  to  confirm  this  conclusion. 

Acknowledgment 
Authors  thank  J.  Dowdy,  G.  Chasko,  and  W.  Kramer 
for  assisting  in  the  capture  and  maintenance  of  live  bats 
and    for    preparing    the    sample    extracts    for    analysis; 


J.  Carpenter  for  demonstrating  the  technique  for  in- 
ducing anesthesia;  G.  Perrygo  and  H.  B.  Robey  of  the 
Maryland  National  Park  and  Planning  Commission  for 
providing  access  to  Montpelier  Barn;  and  E.  Dustman 
and  A.  Federighi  for  reviewing  the  manuscript. 

LITERATURE  CITED 

(/)  Clirist'uin,  J.  J.  1956.  The  natural  history  of  a  summer 
aggregation  of  the  big  brown  bat,  Epicsicus  juscits 
jiiscii.s.    Am.   Midi.   Nat.  55(n:66-95. 

(2)  Clark.  D.  li..  Jr.  1978.  Uptake  of  dietary  PCB  by  preg- 
nant big  brown  bats  (Ephsiciis  jusciis)  and  their 
fetuses.  Bull.  Environ.  Contam.  To.xicol.  19(6)  :707- 
714. 

(.?)  Clark.  D.  R.  Jr..  and  T.  G.  Lamont.  1976.  Organo- 
chlorine  residues  and  reproduction  in  the  big  brown 
bat.   J.  Wildl.  Manage.  40(2)  :249-254. 

(4)  Clark.  D.  R..  Jr..  C.  O.  Martin,  and  D.  M.  Swineford. 
1975.  Organochlorine  insecticide  residues  in  the  free- 
tailed  bat  (Tadarida  brasiliciusis)  at  Bracken  Cave, 
Texas.    J.  Mammal.  56(2  )  :429-443. 

(5)  Cromurlie.  E.,  W.  L.  Rciclicl.  L.  A'.  Locke.  A.  A. 
Beli.slc.  T.  E.  Kai.Kcr,  T.  G.  Lamonl.  B.  M.  Mulhcrn. 
R.  M.  Proiily,  and  D.  M.  Swineford.  1975.  Residues  of 
organochlorine  pesticides  and  polychlorinated  biphenyls 
and  autopsy  data  for  bald  eagles,  1971-72.  Pestic. 
Monit.  J.  9(  1):  11-14. 

(6  1  Wimsatt.  W.  W.  I960.  An  analysis  of  parturition  in 
chiroptera.  including  new  observations  on  Myotis  I. 
Iucitiiga.t.    J.  Mammal.  41(2) :  183-200. 


116 


PESTiciL)i;s  MoNiToRiNc;  Journal 


SOILS 


Pesticide  Residue  Levels  in  Soils  and  Crops,  1971 — 
National  Soils  Monitoring  Program  (III) 

Ann  E.  Carey,'  Jeanne  A.  Gowen,'  Han  Tai,'  William  G.  Mitchell,'  and  G.  Bruce  Wiersma  ' 


ABSTRACT 

Data  from  the  197 1  National  Soils  Monitorinti  Profiram  are 
siiiumaiizecl.  Composite  samples  of  soil  and  mature  crops 
were  scheduled  for  collection  from  1,533  4-hectare  sites  in 
37  states.  Analyses  were  performed  on  1,486  soil  samples 
for  organochlorines,  organophosphates,  PCBs,  and  elemen- 
tal  arsenic;  samples  were  analyzed  for  atrazinc  only  when 
pesticide  application  data  indicated  current-year  use.  Orjiano- 
chlorine  pesticides  were  detected  in  45  percent  of  the  soil 
samples  in  the  following  order  of  frequency:  dieldrin.  ^DDT, 
aldrin,  chlordane.  and  heptachlor  epoxide.  Most  pesticide 
levels  ranged  from  0.01  to  0.25  ppm.  Crop  samples  were 
collected  from  729  sites,  and  all  were  analyzed  for  organo- 
chlorines. Crop  samples  were  analyzed  for  organophosphates 
and  atrazine  only  when  pesticide  application  data  indicated 
current-year  use.  Organochlorines  were  detected  in  42 
percent  of  the  crop  samples  analyzed,  organophosphates  in 
13  percent,  and  atrazinc  in  I  percent. 

Introdiiclion 
The  National  Soils  Monitoring  Program  is  an  integral 
part  of  the  National  Pesticide  Monitoring  Program 
(NPMP).  The  NPMP  was  initiated  at  the  recommen- 
dation of  the  President's  Science  Advisory  Committee 
in  1963  to  determine  levels  and  trends  of  pesticides  and 
their  degradation  products  in  the  environment  (4).  The 
Committee  recommended  that  appropriate  federal  agen- 
cies "develop  a  continuing  network  to  monitor  residue 
levels  in  air,  water,  soil,  man,  wildlife  and  fish"  (/). 
The  U.S.  Department  of  Agriculture  (USDA)  began 
monitoring  agricultural  soils  in  1964.    After  a  series  of 


^Ecological   Monitoring    Branch.    Benefits   and    Field    Studies    Division. 

Oflice  of  Pesticide  Programs.   U.S.  Environmental  Protection  Agency. 

TS-768,  Washington.  DC  20460. 
-Extension  Agent.  Colorado  State  Extension  Service.  Golden,  CO. 
^Ecological    Monitoring    Branch.    Benefits    and    Field    Studies    Division. 

Office  of  Pesticide  Programs.  U.S.  Environmental   Protection  Agency, 

Pesticides  Monitoring  Laboratory.  Bay  St.  Louis.  MS. 
*  Chief,    Pollutant    Pathways    Branch,    Environmental    Monitoring    and 

Support    Laboratory,    U.S.    Environmental    Protection    Agency,    Las 

Vegas.  NV. 


short-term  monitoring  projects  (5-7),  a  nationwide 
agricultural  soil  monitoring  program  was  designed  (9) 
and  tested  (!0).  The  USDA  initiated  widespread  moni- 
toring in  1968  (//)  and  1969  (3). 

The  National  Soils  Monitoring  Program  was  transferred 
to  the  U.S.  Environmental  Protection  Agency  (EPA), 
when  EPA  was  created  in  1970.  The  present  report  sum- 
marizes soil  and  crop  pesticide  concentration  data  col- 
lected in  1971  (fiscal  year  1972)  at  1.486  sampling 
sites  in  37  states.  Data  were  not  collected  from  some 
larger  western  states  because  of  budgetary  limitations 
and  because  either  those  states  have  little  widespread 
agriculture  or  they  grow  wheat  and  other  small  grains 
which  require  fewer  pesticides  than  do  nongrain  crops. 

Sampling  Procedures 

Site  selection  criteria  and  statistical  design  for  the  pres- 
ent study  have  been  described  by  Wiersma  et  al.  (9). 
During  late  summer  and  fall  1971,  1,486  sites  in  37 
states  were  sampled  (Fig.  1).  At  each  4-hectare  (10- 
acre)  site,  a  composite  soil  sample  and  a  composite 
mature  crop  sample  were  collected  according  to  pro- 
cedures described  in  the  U.S.  EPA  Sample  Collection 
Manual  {8).  Information  on  cropping  practices  and  a 
history  of  pesticide  application  for  the  current  cropping 
season  were  obtained  in  interviews  with  landowners  or 
operators.  These  data  have  been  summarized  and  pub- 
lished separately  (2). 

A  nalytical  Procedures 

ORGANOCHLORINES   AND  ORGANOPHOSPHATES 

Sample  Preparation.  Soil — A  300-g  subsample  was 
taken  from  a  thoroughly  mixed  field  sample.  The  sub- 
sample  was  moistened  with  SO  ml  water  and  extracted 
with  600  ml  3:1  hexane-isopropanol  by  concentric 
rotation  for  4  hours.   The  isopropanol  was  removed  by 


Vol.  12,  No.  3,  December  1978 


117 


FIGURE   I .     Slates  wliere  aaricidlural  soils  and  crops  were  sampled  for  the  197 1  National  Soils  Monitoring  Program, 

U.S.  Environmental  Proleetion  Agency 


three  distilled  water  washes,  and  the  hexane  extract  was 
dried  with  anhydrous  sodium  sulfate.  The  sample  ex- 
tract was  stored  at  low  temperature  for  subsequent 
gas-liquid  chromatographic  analysis. 

Sample  Preparation.  Crops — For  samples  containing 
less  than  2  percent  fat,  e.g.,  alfalfa,  bur  clover,  corn- 
stalks, cotton  stalks,  green  bolls,  miscellaneous  hay,  a 
100-g  sample  of  the  crop  was  blended  with  25  ml  dis- 
tilled water  for  3  minutes  in  SOO  ml  acetonitrile.  An 
aliquot  of  the  sample  extract,  representing  10  g  of  the 
original  sample,  was  decanted  into  a  500-ml  Eriemcyer 
flask.  The  sample  extract  was  concentrated  under  a 
three-ball  Snyder  column  to  approximately  10  ml;  100 
ml  hexane  was  added,  and  the  hexane-acctonitrile 
azeotrope  was  again  concentrated  to  10  ml.  This 
process  was  carried  out  three  times  to  remove  the  aceto- 
nitrile. The  hexane  extract  was  dried  with  anhydrous 
sodium  sulfate,  the  volume  was  adjusted  to  50  ml,  and 
the  extract  was  stored  at  low  temperature  until  par- 
titioning. 

For  crop  samples  containing  more  than  2  percent  fat, 
e.g.,  corn  kernels,  cottonseed,  soybeans,  a  lOO-g  sample 
was  prcwashed  with  100  ml  isopropanol  and  then  with 
100  ml  hexane.  Both  prcwashes  were  discarded.  The 
prewashes  were  used  to  remove  surface  residues  which 


may  have  contaminated  the  grain  during  removal  of 
shells,  husks,  or  pods,  thus  assuring  that  residues  de- 
tected were  actually  contained  in  the  grain.  The  sample 
was  dried,  dry  blended,  added  to  100  ml  isopropanol, 
and  blended  again.  After  .300  ml  hexane  was  added, 
the  isopropanol  was  removed  by  two  washes  with  satu- 
rated aqueous  NaCl  solution  and  one  wash  with  dis- 
tilled water.  The  water-alcohol  layers  were  discarded; 
the  hexane  layer  was  concentrated,  adjusted  to  50  ml, 
and  held  at  low  temperature  until  partitioning. 

After  extraction,  crop  samples  were  partitioned  with 
hexane-acetonitrile  as  follows:  50  ml  of  the  hexane 
sample  extract,  representing  10  g,  was  shaken  with 
100  ml  acetonitrile  in  a  500-ml  separatory  funnel.  The 
bottom  acetonitrile  layer  was  set  aside.  Another  100  ml 
acetonitrile  was  added  to  the  hexane  extract  and  the 
separation  step  described  above  was  repeated  twice;  the 
hexane  was  discarded  and  the  three  acetonitrile  layers 
were  combined.  The  .^00-ml  acetonitrile  extract,  which 
contained  essentially  all  the  pesticides  from  the  original 
hexane  extract,  was  backwashed  with  25  ml  acctonitrile- 
saturated  hexane.  and  the  hexane  layer  was  discarded. 
The  acetonitrile  sample  extract  was  concentrated  to  ap- 
proximately 10  ml  under  a  three-hall  .Snyder  column, 
and  100  nil  hexane  was  added.  This  process  was  car- 
ried  out  three  times  to  remove  the  acetonitrile.    The 


118 


Pesticides  Monitoring  Journal 


hexane  extract  was  adjusted  to  7.5  ml  and  stored  at  low 
temperature  for  subsequent  Florisil  column  cleanup  and 
fractionation. 

A  separate  aliquot  of  the  extract  not  subjected  to 
Florisil  cleanup  was  reserved  for  analysis  for  organo- 
phosphates  by  flame  photometric  detection. 

Florisil  Cleanup — An  extract  equivalent  to  5  g  original 
crop  sample  was  fractionated  through  a  1 5-g  Florisil 
column  by  use  of  100  ml  10  percent  methylene  chloride 
in  hexane  and  100  ml  methylene  chloride  for  fractions 
one  and  two,  respectively. 

Methylene  chloride  was  removed  by  concentration  of 
each  extract  to  low  volume  under  a  three-ball  Snyder 
column,  addition  of  100  ml  hexane.  and  concentration 
again  to  low  volume.  After  two  additions  of  hexane, 
the  methylene  chloride  was  essentially  removed.  Each 
extract  volume  was  adjusted  to  2.5  ml  for  separate 
injection  on  the  gas-liquid  chromatograph. 

Gas-Liquid  Chromatoiiraphy — Gas  chromatographs 
were  equipped  with  tritium  foil  electron-affinity  detec- 
tors for  organochlorines  and  thermionic  or  flame  photo- 
metric detectors  for  organophosphates.  A  multiple- 
column  system  with  polar  and  nonpolar  columns  was 
used  to  identify  compounds.  Instrument  parameters  and 
operating  conditions  follow: 


Gas  chromaiiigi aphs: 


Columns: 


Carrier  biases: 


Temperatures; 


Hewlell  Packard  40:a 
Hcwleil  Packard  40:b 
Tracor  MT-22(1 

iilasH.  6  mm  OD  x  4  mm  ID.  183  cm  loni;. 
packed  with 

9  percent  QF-I  on  100-1 2t>-me.sh  Gas- 
Chrom  Q 

.■<  percent  DC-:(1I1  on  100-1  :o-mesh  Gas- 
Chrom  Q 

a  mixitire  of  1.5  percent  OV-17  and  1  <J5 
percent  QF-l  on  IOO-l2ll-mesh  Supelcoport 
5  percent  methane-aruon  thmini:  at  Ktt  nil/ 
minute,  prepiirilied  nitrojien  Howing  al  St) 
ml  minute 

theimionic  detector  housing;  25ti^C 
detector  i  EC  and  FPDl   200-2IO'C 
injection  port   25t)  C 
columns         166  C 

170-175'C 

i«5-iyo°c 


Minimum  detection  levels  for  organochlorines  and  tri- 
fluralin  were  0.002-0.03  ppm  except  for  combinations 
of  polychlorinated  biphenyls  (PCBs).  chlordane,  toxa- 
phene,  and  other  chemicals  which  had  mininiiim  detect- 
able levels  of  0.05-0. 1  ppm.  Minimum  detectable  levels 
for  organophosphates  were  approximately  0.01-0.0.3 
ppm.  The  compounds  detectable  by  the  methodologv 
of  the  present  study  are  listed  in  Table  1.  Trilluralin  is 
detected  by  the  organochlorine  methodologv  and,  for 
that  reason,  appears  with  the  organochlorine  analyses 
in  the  tables. 

Recovery  Suidies — Pesticide  recovery  values  from  soil 
were   80-110  percent,   but   usually   were  close  to    100 


TABLE  1.     Compouiuls  detectable  hy  chemical 

methodology  of  the  present  study,  1971— National  Soils 

Monitoring;  Program 


ORGANOCHLORINES 


Alachlor 

Aldrjn 

Chlordane 

o.P'-DDT 

i>,r'-Dm 

o.p'-DDE 

/i,/i'-DDE 

«,p'-TDE 

P.n'-TDE 

Dieldrin 

Endosulfan  1 1 ) 

Endosulfan  (II ) 

Endosulfan  sulfate 


Endrjn 

Heptachlor 

Heptachlor  epoxide 

Uodrin 

Lindane  (-,-BHC) 

Meihoxychlor 

Ovex 

PCBs 

PCNs 

Propachlor 

Toxaphene 


ORGANOPHOSPHATES 


DEF 

Diazinon 

Eihion 

Malathion 


Parathion.  elhyl 
Paralhion.  methyl 
Phorale 
Triihion 


OTHER  HALOGENS 


Trifluralin 


NOTE:  Althougi;  trifluralin  is  a  dinitroaniline  compound,  it  is  detected 
in  the  methodoloj^y  used  in  the  present  study,  and  appears  in 
Tables  1-7  under  the  Oryanochlorines  heading. 


percent.  Values  from  crops  ranged  from  70  to  100 
percent,  and  varied  with  amount  and  type  of  pesticide 
and  type  of  crop  involved.  Residues  in  both  crop  and 
soil  samples  were  corrected  for  recovery.  Soil  samples 
were  also  corrected  to  a  dry-weight  basis. 

ATRAZINE 

A  50-g  subsample  was  taken  from  a  thoroughly  mixed 
field  sample.  The  subsample  was  extracted  with  25  ml 
water  and  300  ml  methanol  by  concentric  rotation  for 
4  hours.  The  sample  extract  was  then  decanted  into 
a  1 -liter  separatory  funnel  and  200  ml  water  was 
added.  The  extract  was  partitioned  with  150  ml  Freon 
113  three  times.  The  Freon  113  fractions  were  com- 
bined and  concentrated  to  incipient  dryness.  The  ex- 
tract was  dissolved  in  hexane  and  adjusted  to  5  ml  for 
injection  into  a  gas-liquid  chromatograph  equipped  with 
a  thermionic  flame  detector  with  a  rubidium  sulfate 
coating  on  a  helix  coil.  Instrument  parameters  and 
operating  conditions  follow: 

Column:  glass.  18.1  cm  long    «    6  mm  OD   ^    4  mm  ID. 

packed  with  ^  percent   Versamid  900  on    100- 
120-mesh  Gas-Chrom  Q 

Cairier  gas:  helium 

Detector  fuel  gases:  oxygen   flowing   at   20(1-300  ml   minute;   hydro- 
gen flowing  at  20-3(1  ml  minute 

Teinperattires:  detector  200"C 

injection  port  240*C 

column  240''C 

Confirmatory  analyses  were  performed  on  a  DC-200 
column  at  I80'C  and  a  Coulson  detector  in  the  reduc- 
tive mode  at  the  following  temperatures:  pyrolysis  tube, 
850°C;  transfer  line,  220°C;  and  block,  220°C.  Re- 
covery was  90-110  percent  with  a  minimum  detection 
level  of  0.01  ppm. 


Vol.  12.  No.  3,  December  1978 


119 


ARSENIC 

Arsenic  was  determined  by  atomic  absorption  spectro- 
photometrv.  The  soil  sample  was  extracted  with  9.6N 
HCI  and  arsenic  was  reduced  to  As  '  ■'  with  SnCl,. 
As  +  -'  was  partitioned  from  the  acid  to  benzene,  and 
then  further  partitioned  from  benzene  into  water  for 
the  absorption  measurement.  A  Perkin-Elmer  Model 
303  spectrophotometer  was  used,  and  absorbance  was 
measured  with  an  arsenic  cathode  lamp  at  1972  A 
with  argon  as  an  aspirant  to  an  air-hydrogen  flame. 
Minimum  detection  limit  was  0.1  ppm,  and  recovery 
averaged  70  percent. 

Results  from  all  analyses  were  corrected  for  recovery 
and  are  expressed  as  ppm  dry  weight. 

Results  and  Discussion 
Tables  presented  in  this  report  can  be  divided  into  two 
groups:  those  showing  concentrations  of  pesticides  in 
soil  samples  by  all  sites  and  states,  and  those  showing 
concentrations  of  pesticides  in  mature  agricultural  crops. 
Most  tables  list  the  number  of  analyses,  the  number  of 
times  a  compound  was  detected,  the  percent  occurrence 
of  the  compound,  the  arithmetic  mean,  the  estimated 
geometric  mean,  and  the  minimum  and  maximum  posi- 
tive concentrations  detected. 


The  estimated  geometric  mean  is  routinely  presented  in 
the  tables  as  an  alternative  to  the  arithmetic  mean  as  a 
measure  of  central  tendency  for  the  data  evaluation. 
Pesticide  residue  data  frequently  contain  a  large  number 
of  zero  values,  resulting  either  from  the  absence  of 
pesticides  or  their  presence  at  levels  below  the  analytical 
sensitivity.  Such  data  are  seldom  distributed  normally, 
as  shown  by  tests  for  skewness  and  kurtosis,  but  often 
approximate  a  log-normal  distribution.  After  repeated 
tests  for  significant  kurtosis  and/or  skewness,  the 
log(A'  +  0.01)  transformation  was  used  to  determine 
the  logarithmic  means.  The  antilogs  of  these  figures 
minus  0.01  were  taken  to  estimate  the  geometric  mean 
in  the  untransformed  dimension.  The  estimated  geo- 
metric mean  was  calculated  only  for  those  compounds 
with  more  than  one  positive  detection. 

COMPOUND  CONCENTRATIONS  IN  CROPLAND  SOIL 

All  Sites — A  total  of  1,486  soil  samples  were  received 
from  1,533  sites  in  37  states,  resulting  in  a  97  percent 
design  completion.  Results  of  analyses  for  organochlo- 
rines,  organophosphates,  triazines,  and  elemental  arsenic 
are  presented  in  Table  2.  The  most  frequently  detected 
pesticide  was  dieldrin,  found  in  27  percent  of  all  samples 
analyzed.     Next    were    -DDT,    aldrin,    chlordane,    and 


TABLE  2.     Compoiiiul  conccnlrutions  in  cruplaiul  soils  for  all  sample  sites  in  37  slates,  1971  (FY  1972} 

National  Soils  Monitoring  Program 


No.  OF 

%    OF 

Residues. 

PPM  Dry  Weight 

Estimated 

Extremes  of 

Positive 
Detections 

Positive 
Detections 

Arithmetic 
Mean 

Geometric 
Meani 

Detected  Values 

Compound 

MiN 

Max. 

ORGANOCHLORINES.   1 

4S6 

SAMPLES 

AJdrin 

144 

9.7 

0.02 

0.002 

0.01 

1.88 

Chlordane 

119 

8.0 

U.06 

0.003 

0.01 

6.98 

op'-DDE 

21 

1.4 

<0.01 

<0.00l 

0.01 

0.34 

;>.P'-DDE 

.1.14 

22.5 

0.11 

0.007 

0.01 

54.98 

o.p'-DDT 

198 

13.3 

0(17 

0.004 

0,01 

32.75 

p.p'-DDT 

305 

20.5 

0  17 

0.010 

0.01 

245.18 

".p'-TDE 

10 

0.7 

1)111 

<0.001 

0.02 

16.79 

P.P'-TDE 

I  16 

7  8 

0  115 

0.002 

0111 

38.46 

i;  DD I 

.15(1 

24.0 

0.61 

0.013 

0.01 

388.16 

Dieldrin 

40K 

27.5 

0.05 

0.009 

0  in 

9.83 

Endosulfan  ( I ) 

2 

0.1 

<0.01 

<0.00l 

0.05 

0.23 

Endosulfan   (11) 

.1 

0.2 

<0.01 

<0.001 

0.07 

1.24 

Endosulfan  sulfate 

.1 

0.2 

<0.0  1 

<0.001 

O.K. 

2.07 

Endrin 

14 

0.9 

<0.0I 

<ro.ooi 

0.02 

1.00 

Heptachlor 

71 

4  9 

0.01 

0.001 

0.01 

1.37 

Heplachlor  epoxide 

1(1.1 

6.9 

<0.0I 

0.001 

0.01 

0.43 

Isodrin 

.1 

0.2 

<fl.OI 

<0.001 

0.01 

0.02 

Ovex 

1 

0.1 

<0.01 

— 

1.11 



Propachlor 

1 

0.2 

<0.01 

<0.00l 

0  1)7 

0.10 

Toxapliene 

92 

6.2 

0.27 

0.004 

0.18 

36.33 

Trifluralin 

52 

3.5 

<0.01 

0.00! 

0.01 

1.29 

ORGANOPHOSPHATES,   1 

.141 

SAMPLES 

DEF 

4 

0.4 

<0.0l 

<0.001 

0.15 

0.66 

Uia/inon 

4 

0.4 

<0.01 

<0.001 

0.02 

0.05 

Ethion 

0.2 

<0.0I 

<0.00l 

0.06 

0.24 

Malalhiun 

1 

0.1 

<0.01 

_ 

0.19 



Parathion.  clhyl 

4 

0.4 

<0.01 

<0.001 

0.05 

0.19 

Phoralc 

1 

0.1 

<o.oi 

— 

O.OK 

— 

TRIAZINES.  21.1  SAMPLES 

Airazine 

1''.' 

71.4 

0.23 

0.052 

0.01 

16.73 

HEAVY 

METALS.    1.474 

SAMPLES 

Arsenic 

1461 

99.1 

5.92 

3.522 

0.09 

180.42 

'  Not  calculated  when  fewer  than  two  positive  detections  were  present. 


120 


Plsticidis  MoNiroRiNci  Journal 


heptachlor  epoxide,  found  in  24,  10,  8,  and  7  percent 
of  all  samples  analyzed,  respectively. 

Table  3  gives  the  occurrence  of  pesticide  residues  in  the 
agricultural  soil  samples  collected  in  1971.  The  fre- 
quency of  detection  varied  widely  among  the  states 
surveyed.  Atrazine  detection  frequencies  are  not  com- 
parable to  the  detection  frequencies  of  other  compounds 
because  atrazine  analyses  were  performed  onlv  when 
site  application  records  indicated  atrazine  use  during  the 
current  growing  season. 

Table  4  gives  the  percent  incidence  of  residues  of 
selected  organochlorines  at  specific  levels.  For  most 
compounds,  the  highest  percentages  of  positive  detec- 
tions were  in  the  0.01-0.25-ppm  category.  Toxaphene 


was  the  exception;  highest  incidence  of  positive  resi- 
dues occurred  in  the  >  10.00-ppm  category. 

By  State — Pesticide  concentrations  in  soils  of  specific 
states  or  state  groups  are  presented  in  Table  5.  Because 
some  of  the  smaller  eastern  states  had  very  few  sites, 
those  with  similar  geographic  locations  and/ or  agri- 
cultural characteristics  were  combined  to  obtain  more 
representative  data.  State  groups  used  were:  Mid- 
Atlantic:  Delaware,  Maryland,  New  Jersey;  New  Eng- 
land: Connecticut,  Maine,  Massachusetts,  New  Hamp- 
shire, Rhode  Island,  Vermont;  Virginia  and  West 
Virginia. 

Comparisons  of  the  percent  occurrence  of  aldrin,  diel- 
drin  heptachlor  epoxide,  i:DDT,  chlordane,  and  arsenic 


TABLE  3. 

Occurrence  of  organochlorine.  orgaiwphosphate 

and  Iriazine  residues  in 

cropland  soil. 

/)>■  Stale,  197 1~ 

National  Soils  Monitoring  Program 

Organochlorines 

Orcanophosphates 

Triazinesi 

No.  OF 

'"c   of 

No.  of 

^r  OF 

No.  OF 

%  of 

No.  OF 

Positive 

Positive 

No.  of 

Positive 

Positive 

No.  of 

Positive 

Positive 

State 

Analyses 

Detections 

Detections 

Analyses 

Detections      Detections 

Analyses 

Detections 

Detections 

Alabama 

23 

20 

87 

11 

0 

— 

1 

0 

— 

Arkansas 

46 

34 

74 

33 

1 

3 

1 

0 

— 

California 

64 

49 

77 

48 

2 

4 

— 

— 

— 

Florida 

18 

9 

50 

15 

2 

13 

— 

— 

— 

Georgia 

30 

3 

10 

15 

0 

— 

— 

— 

— 

Idaho 

33 

8 

24 

25 

0 

— 

— 

— 

— 

Illinois 

142 

102 

72 

93 

3 

3 

23 

20 

87 

Indiana 

58 

28 

48 

38 

0 

— 

11 

7 

64 

Iowa 

152 

108 

71 

104 

0 

— 

54 

44 

81 

Kentucky 

31 

1 

10 

31 

0 

— 

6 

5 

83 

Louisiana 

26 

20 

77 

12 

0 

— 

— 

— 

— 

Michigan 

55 

22 

40 

50 

0 

— 

11 

10 

91 

Mid-Atlantic 

18 

7 

39 

18 

-> 

11 

2 

1 

50 

Mississippi 

.11 

31 

100 

15 

3 

20 

— 

— 

— 

Missouri 

«(l 

'31 

39 

67 

0 

— 

20 

13 

65 

Nebraska 

106 

32 

30 

99 

2 

2 

21 

17 

81 

New  England 

20 

8 

40 

19 

1 

5 

1 

0 

— 

New  York 

.18 

12 

32 

35 

0 

— 

6 

6 

100 

North  Carolina 

11 

27 

87 

7 

0 

— 

— 

— 

— 

Ohio 

57 

13 

23 

49 

0 

— 

10 

5 

50 

Oklahoma 

64 

7 

11 

58 

0 

— 

1 

1 

100 

Oregon 

38 

14 

37 

18 

0 

— 

— 

— 

— 

Pennsylvania 

36 

8 

22 

35 

0 

— 

5 

2 

40 

South  Carolina 

17 

17 

100 

3 

0 

— 

■ — 

— 

— 

South  Dakota 

106 

7 

7 

101 

1) 

— 

3 

3 

100 

Tennessee 

27 

12 

44 

16 

0 

— 

1 

0 

— 

Virginia/West  Virgin 

ia     27 

12 

44 

25 

0 

— 

— 

— 

— 

Washington  State 

45 

11 

24 

37 

0 

— 

— 

— 

— 

Wisconsin 

67 

7 

10 

64 

0 

— 

36 

18 

50 

TOTAL 

1486 

662 

45 

1141 

16 

• 

213 

152 

71 

1  Samples  analyzed  only  when  application  records  indicated  atrazine  use  during  the  current  growing  season. 

TABLE  4.    Percent  incidence  of  selected  pesticides  in  cropland  soil  from  all  sampling  sites  in  37  states,  1971 — 

National  Soils  Monitoring  Program 


Concentration, 

Heptachlor 

PPM  Dry  Wt 

i:DDTi 

Aldrin 

DiELDRIN 

Chlordane 

Heptachlor 

Epoxide 

Toxaphene 

Trifluralin 

Not  Detected 

76.0 

90.3 

72.5 

92.0 

95.1 

93.1 

93.8 

96.5 

0.01-0.25 

11.2 

7.9 

22.3 

3.4 

4.4 

6.7 

0.1 

0.26-1.00 

6.3 

1,3 

4.8 

3.1 

0.4 

0.2 

1.1 

0.2 

1.01-5.00 

5.1 

0.5 

0.3 

1.4 

0.1 

— 

3.4 

0.1 

5.01-10.00 

0.7 

— 

O.I 

0.1 

— 

— 

1.0 

— 

>  10.00 

0.6 





. 

— 

— 

TOTAL 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

'2DDT  =  o.p'-DDT  -I-  p.p-DDT  +  o.r'-DDE  +  p,p'-DDE  +  o.p'-TDE  +  p.p-TDE. 


Vol.  12,  No.  3,  December  1978 


121 


TABLE  5.     Compound  concenlralioiis  in  cropland  soil,  by  state,  1971 — National  Soils  Monitoring  Program 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 

Positive 

Detections 


"i  OF 

Positive 

Detections 


ARITHMEnr 

Mean 

Concent  R*i  ION 


Geometric 

Mean 

Concentration! 


Extremes  op 
Detected  Values 


MiN. 


Max. 


ALABAMA,  23  SITES 


Ornanochlorincs.  23  samples 

Chlordane  1 

p.p-DDE  18 

o./j-DDT  10 

p.p-DDT  16 

2  DDT  18 

Dicldrin  4 

Endrin  1 

Heptaclilor  1 

Toxaphcne  5 

Oreanophosphates.  II  samples:  no  residues  delected 
Triazines.  I  sample:  no  residues  detected 
Heavy  Metals.  23  samples 

Arsenic  23 


4.4 
78.3 
43.S 
69.6 
78.3 
17.4 
4.4 
4.4 
21.7 


100.0 


0.02 
11.10 
0.(15 
0.26 
0.41 

<0.0I 
0.02 

<0.0I 
0.76 


2.84 


0.044 
l).lli4 
0.065 
0.106 
0.0112 


0.022 


1.855 


0.45 
0.01 
0.0 1 
0.0 1 
O.OI 
0.0 1 
0.42 
0.07 
0.18 


0.39 


0.33 
0.38 
1.39 
2.07 
0.02 


6.78 


8.13 


ARKANSAS,  46  SITES 


Organochlorines.  46  samples 

Aldrin 

i<.;/-DDE 

p./i-DDE 

o.it-DUT 

/i.;)-DDT 

p,/y-TDE 

2  DDT 

Dieldrin 

Endrin 

Toxaphene 

Trifluralin 
Organophosphaies,  33  samples 

Diazinon 

Triazines  I  sample:  no  residues  detected 
Heavy  Metals,  46  samples 

Arsenic  46 


26 
14 
28 
15 
28 
15 
1 
9 


I 


4.4 

2.2 
56.5 
30.4 
60.9 
32.6 
60.9 
32.6 

2.2 
19.6 

4.4 

3.0 


100.0 


<0.0I 

<0.0I 
0.10 
11.117 
(1..14 
(1.07 
(1.57 
(1.02 

<0.0I 
0.50 

<0.0I 

<0.(1I 


<0.00I 

0.028 
0.099 
0.054 
0.012 
0.079 
0.009 

0.017 
<(l.(10l 


6.448 


O.OI 
0.03 
0.01 
O.OI 
0.02 
0.01 
0.03 
0.02 
0.10 
0.47 
0.05 

0.02 


0.65 


0.02 

0.94 
0.95 
4.82 
1.03 
7.14 
0.18 

6.67 
0.06 


24.74 


Organochlorines.  64  samples 
Chlordane 
().;i'-DDE 
p./>'-DDE 
<'./i'-DDT 
/'.//-DDT 
",//-TDE 
P./Z-TDE 

i;ddt 

Dieldrin 

Endosulfan  II 

Endosulfan  sulfate 

Heptachlor 

Heptaclilor  epoxide 

Ovex 

Toxaphcne 

Trifluralin 
Organophosphaies.  48  samples 

Eihion 

Parathion.  ethyl 
Heavy  Metals.  54  samples 

Arsenic 


4 

45 

30 

39 

2 

10 

47 

3 

1 

1 

1 

I 

I 

13 

3 


54 


CALIFORNIA,  64  SITES 


1.6 

6.3 

70.3 

46.9 

60.9 

3.1 

15.6 

73.4 

4.7 

1.6 

1.6 

1.6 

1.6 

1.6 

20.3 

4.7 

2.1 
2.1 

100.0 


0.04 
(1,01 
(1.15 
0.09 
0.33 

<(1.01 
0.02 
0.61 
(1,01 

<0.0I 
O.OI 

<0.0I 

<0.0I 
0.02 
(1.61 
0.03 

<0.0I 
<0.0I 

5.26 


0.(K)l 
0.050 
0.024 
0.064 
0.001 
0.004 
0.123 
0.(101 


0.020 
0.002 


3.802 


2.45 
0.02 
0.01 
0.02 
0.01 
0.01 
0.02 
0.01 
0.09 
0.18 
0.39 
0.02 
0.07 
1.13 
0.73 
0.10 

0.24 
0.17 

0.72 


0.34 
0.87 
0.71 
2.53 
0.20 
0.93 
3.88 
0.19 


8.30 
1.29 


19.14 


Orjjanochlorines,  18  samples 

Aldrin  3 

Chlordane  1 

/)./7'-DDE  6 

o.f/-DDT  3 

/>./>-DDT  6 

/>./)'-TDE  3 

rDDT  7 

Dicldrin  4 

Endrin  2 

Toxaphene  1 

Organophosphaies.  15  samples 

Ethion  1 

Parathion.  ethyl  1 

Heavy  Metals,  18  samples 

Arsenic  16 


FLORIDA.   18  SITES 


16.7 
5.6 
33.3 
16.7 
33.3 
16.7 
38.9 
22.2 
11.1 
5.6 

6.7 

6.7 

88.9 


(1.(11 

0  (II 
(1.(14 
0.(13 
0.111 
(1.(11 
0.19 
(1.15 
0.06 
0.13 

<0.11l 
O.OI 

1.49 


0.003 

O.OI  I 
0,006 
0.015 
0.004 
0.025 
0.014 
(1.0114 


0,575 


0.01 
0.10 
0.02 
0.02 
0.04 
0.03 
0.02 
0.19 
0.02 
2.35 

0.06 
0.19 

0.12 


0.11 

0.42 
0.33 
1.14 

0.09 
1.89 
1.70 
1.00 


(Continued  next  page) 


122 


Pesticides  Monitoring  Journal 


TABLE  5     (cont'd.).     Compotind  conceiuralioiis  in  cropland  soil.  I>y  .state.  l971~Natiomd  Sods  Moniloiinf;  Pio.mant 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 

Positive 

Detections 


Positive 
Detections 


Arithmetic 

Mean 

Concentration 


Geometric 

Mean 

CONCENTRAllONl 


GEORGIA.  .1(1  SITES 


Organochlorines.  ."^0  samples 

Chlordane 

o.()'-DDE 

;!,()'-DDE 

o.p-DDT 

;).P'-DDT 

o./J-TDE 

/1.//-TDE 

i:DDT 

DIeldrin 

Heptachlor  epoxide 

Toxaphene 

Trifliiralin 
Organophosphaies,  15  samples: 
Heavy  Melals.  3(1  samples 

Arsenic 


1 
25 
14 

22 

I 

11 

25 

7 

2 

9 

1 
no  residues  detected 

3(1 


lIKfl 

3.3 
83.3 
46.7 
73.3 

3.3 
36.7 
83.3 
23.3 

6.7 
30.0 

3.3 


100.0 


0.02 

<0.0I 

0.14 

0.07 

0.35 

<0.01 

0.03 

0.59 

0.04 

<0.01 

1.25 

0.01 


1.64 


0.003 

0.062 
0.019 
0.093 

(1.010 
0.172 
0.007 
0.001 
0.046 


IDAHO,  33  SITES 


Extremes  of 

Detected  Values 


Max. 


(1.14 
(1.02 
0(11 
(1,(11 
0.(11 
(1.(13 
(1.(12 
0.01 
0.01 
0.01 
1.06 
0.21 


0.20 


0.21 

0.83 
0.63 
2.70 

0.26 
4.42 
0.45 
0.04 
10,20 


6.99 


Oryanochlorines,  33  samples 

;i./>-DDE  9 

o,;)'-DDT  4 

p. (/-DDT  8 

/>.()'-TDE  1 

i:DDT  9 

Dieldrin  4 

Toxaphenc  1 

Trifliiralin  2 

Organophosphaies.  25  samples;  no  resitlues  detected 
Heavy  Metals,  31  samples 

Arsenic  31 


27.3 

12.1 

24.2 

3.0 

27.3 

12.1 

3.0 

6.1 


100.0 


0.03 
0.01 
0.13 

<0,0I 
O.IS 

<0.01 
0.15 

<0.01 


0.008 
(1.002 
0.009 

0.013 
0.002 


1.785 


(1.(12 
(1,02 
(1.(11 
0.08 
(1,(14 
(1.01 
4.96 
(1.06 


0,30 


0.41 
0,27 
3,23 

3,99 
0.03 

0.07 


4.99 


ILLINOIS.    142  SITES 


Organochlorincs.  142  samples 

Aldrin 

Chlordane 

,.,,/-DDE 

,..;)'-DDT 

i;DDT 

Dieldrin 

Heplachlor 

Hep(achlor  epoxide 

Propachlor 

TritUiralin 
Organophosphaies.  93  samples 

Diazinon 

Malathion 

Phoraie 
Triazines.  2.1  samples 

Atrazine 
Heavy  Melals.  141  samples 

Arsenic 


54 

46 

2 

4 

5 

96 

39 

45 

2 

7 

1 
1 
1 


38.0 

31,7 

1.4 

2.8 

3.5 

66.9 

27.5 

31.7 

1.4 

4,9 

1,1 
1.1 
1.1 

87.0 


(1.06 

0.47 

<0.01 

<0.01 

<0.0I 

0.14 

0.04 

0.02 

<fl.01 

<o.oi 
<o.oi 

<(l.01 
<().01 

0.22 

7,8 


0.011 
0.027 

<0.(X)l 
(1.001 
0.001 
(1.(15(1 
(1.008 
0,008 

<0.(101 
0.00 1 


11,102 
5.950 


INDIANA.  58  SITES 


Organochlorines.  58  samples 

Aldrin  14 

Chloidane  ft 

«,//-DDE  1 

;^/)-DDE  6 

»,;''-DDT  2 

/>.;/-DDT  4 

I'.r'-rOE  2 

i:DDT  6 

Dieldrin  22 

Endosiillan  1 

Endostillan  II  1 

EndosnU.in  suHaie  1 

Heplachlor  5 

Heplachlor  epoxide  5 

Isodrin  1 

Trilliiralin  3 

Organophosphaies.  .IS  samples: 
1  ria/ines.  1  I  samples 

Alra/ine  7 

Heavy  Melals.  5«  samples 

Arsenic  58 


24,1 

10.3 

1.7 

10.3 

3.5 

6.9 

3.5 

10.3 

37.9 

1,7 

1.7 

1.7 

8.6 

X.ft 

1,7 

S.2 


>  resKlnes  detected 


6.1.6 
1(10.0 


0.08 

0.12 

<(1.0 1 

0.01 

<0.01 

0.01 

0.01 

0.03 

0.1(1 

<0.01 

<0.01 

<(1.01 

(1.01 

(1.01 

<(l.lll 

<0.01 


0.05 
4.66 


0.009 
0.0(16 

(1.002 
(1.001 
0.002 
0.00 1 
0.004 
0,019 


0,002 
(1.002 


0.02(1 
3,478 


0,01 
11114 
0,(11 
0,04 
0.01 
0,01 
(1.0  I 
(1,01 
0,111 
0.02 

0.05 
0.19 
ll.OK 


(1,01 
0,16 
(1,02 
0,02 

o,ii: 

0,02 
0,06 
0,(14 
0,01 
0,05 
0.07 
0,16 
11,01 
0,01 
Olll 
0.03 


0.01 
0.42 


1.83 
6.98 
0.06 
O.IO 
0.16 
0,75 
1.37 
0.34 

0,15 


0,92 

28.22 


1.64 
4.10 

0,25 
0,08 
0.56 
0,27 
0.89 
0.85 


0.20 
0.43 

0,13 

0.27 
15.93 


(Continued  next  pai^e) 


Vol.  12,  No.  3.  December  1978 


123 


TABLE  5    (cont'd.).     Compound  concentrations  in  cropland  soil,  by  slate,  1971 — National  Soils  Monitoring  Program 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 

Positive 

Detections 


%  OF 

Positive 

Detections 


Arithmetic 

Mean 

Concentration 


Geometric 

Mean 

Concentration  ^ 


Extremes  of 
Detected  Values 


MiN. 


Max. 


IOWA.   152  SITES 


Organochlorines.  152  samples 

Aldrin 

Chlordane 

().p'-DDE 

P.p'-DDE 

o.p'-DDT 

P.p-DDT 

p.p-TDE 

i;DDT 

Dieldrin 

Heptachlor 

Hepiachlor  epoxide 

Isodrin 

Toxaphcne 

Trilluralin 
Organophospliates.  104  samples; 
rriazincs.  54  samples 

Atrazine 
Heavy  Metals.  152  samples 

Arsenic  I 


28.3 
13.2 

0.7 
11.2 

3.3 
12.5 

2.0 
14.5 
63.8 

8.6 
11.8 

1.3 

0.7 

9.87 


no  residues  detected 


81.5 
99.3 


n.i)4 

0.06 

<().0I 

11.01 

<o.ni 

0.02 

<n.oi 

0.0.1 
0.09 

<0.()1 
0.01 

<O.I)l 
0.04 
O.lll 


0.62 
6.1 


0.008 
0.(X)6 

0.002 
0.001 
0.00.1 

<0.001 
0.004 
0.033 
0.001 
0.002 

<0.001 

0.002 


0.135 
4.574 


0.01 
0.02 
0.01 
0.01 
0.02 
0.02 
0.01 
0.01 
0.01 
0.01 
0.01 
0.02 
5,97 
0.01 


0.02 
0.24 


1.01 
1.63 

0.19 
0.24 
1.42 
0.04 
1.59 
0.79 
0.15 
0.16 


0.40 

16.73 
26.05 


KENTUCKY,  31   SITES 


Organochlorines,  31  samples 

Aldrin  1  3.2 

Chlordane  1  3.2 

P,P-DDE  2  6.5 

PP'-DDT  1  3.2 

P.p'-TDE  1  3.2 

2DDT  2  6.5 

Dieldrin  1  3.2 

Endosulfan  1  3.2 

Endosulfanll  I  3.2 

Endosulfan  sulfate  1  3,2 

Toxaphene  1  3.2 

Organophosphates.  31  samples:  no  residues  detected 

Triazines,  6  samples 

Atrazine  5  8.1.3 

Heavy  Metals,  31  samples 

Arsenic  31  100,0 


<l),0l 

0,08 

<0,0I 

<0.01 

<0,01 

<0,01 

0.02 

0.01 

0.04 

0,07 

0.06 


O.W 
9.25 


0.001 


0.022 
5.608 


0.01 
2.47 
0.0 1 
0.01 
0.02 
0.02 
0.48 
0.23 
1.24 
2.07 
1.80 


0.02 
0.74 


0.05 


0.07 


0.05 
29.31 


LOUISIANA.  26  SITES 


Organochlorines,  26  samples 

Aldrin 

1 

Chlordane 

T 

o.P-DDE 

1 

P,p'-DDE 

11 

o.p'-DDT 

10 

P.p'-DDT 

11 

P.p'-TDE 

8 

SDDT 

11 

Dieldrin 

7 

Toxaphcnc 

8 

Trifluralin 

2 

3.9 

7.7 
3.9 
42.3 
38.5 
42.3 
30.8 
42,3 
26.9 
30,8 
7,7 


<0,0I 
0,01 
0,01 
0,25 
0,24 
0.79 
0.12 
1,41 
0.02 
3.02 
0.02 


Organophosphates.  12  samples:  no  residues  detected 
Heavy  Metals,  26  samples 

Arsenic  25 


0.002 

0.033 
0.020 
0.046 
0.014 
0,067 
0,006 
0,057 
0,003 


2,541 


0.03 
0.06 
0.25 
0.03 
0.01 
0.0 1 
0.02 
0.05 
0.0 1 
0.68 
0.11 


0.41 


0.26 

2.23 
3.66 
7.41 
1.67 

15.22 
0.15 

.36,33 
0.37 


10,77 


MICHIGAN.  55  SITES 


Organochlorines,  55  samples 

Aldrin 

4 

Chlordane 

7 

P.P-DDE 

9 

o,p-DDT 

6 

p.P-DDT 

8 

P.P-TDE 

2 

i:DDT 

9 

Dieldrin 

16 

Heptachlor 

1 

Hepiachlor  epoxide 

3 

Trifluralin 

1 

7.3 
12.7 
16.4 
10.9 
14.6 

3,6 
16.4 
29.1 

1.8 

5,5 


Organophosphates.  50  samples:  no  residues  detected 
Triazines.  II  samples 

Atrazine  til 

Heavy  Metals.  55  samples 

Arsenic 


55 


90.9 
00,0 


0,02 

o.o: 

0  11 

0.114 

0.22 

0.01 

0..1S 

0.02 

<0,01 

<0,01 

<0.0I 


0,09 
8,26 


o,oo; 

0,004 
0,006 
0,004 
0,007 
0.001 
0.008 
0.007 

0.001 


0.068 
4.763 


0.07 
0.02 
0.0 1 
0.02 
0.02 
0.04 
0.02 
0.01 
0.01 
0.01 
O.IO 


0.02 
0.55 


0.52 
0.37 
4.35 
1.45 

8.20 
0,72 
14,72 
0,34 

0.06 


0.25 

73,65 


(Continued  next  page) 


124 


Pestktdi  s  Monitoring  Journal 


TABLE  5     (cont'd.).     Compound  concern ral ions  in  cropland  soil,  by  slate.  197 1— National  Soils  Monitorini;  l'rof;rain 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 

Positive 

Detections 


%  OP 

Positive 
Detections 


Arithmetic 

Mean 

Concentration 


Geometric 

Mean 

Concentration  ' 


Organochlorines,  18  samples 

Aldrin 

Chlordane 

o.p'-DDE 

p.p-DDE 

o.p'-DDT 

p.p-DDT 

f>,p'-TDE 

SDDT 

Dieidrin 

Heptachlor  epoxide 
Organophosphates,  18  samples 

Diazinon 

Parathion,  elhyl 
Triazines,  2  samples 

Atrazine 
Heavy  Metals.  18  samples 

Arsenic 


MID-ATLANTIC-.   18  SITES 


S.6 

5.6 

5.6 

16.7 

5.6 

11. 1 

5.6 

16.7 

27.8 

11.1 

5.6 
5.6 

50.0 

100.0 


<0.01 
<0.01 
<0.01 
0.04 
0.01 
0.04 
0.01 
(1.10 

no; 

0.01 

<().01 
<0.01 

0.0.1 

3.8-1 


0.005 

0.004 

0.007 
0.007 
0.001 


Extremes  of 
Detected  Values 


MiN. 


0.05 
0.06 
0.03 
0.04 
0.16 
0.08 
0.11 
0.04 
0.03 
0.01 

0.03 
0.05 

0.07 

0.43 


Max. 


0.61 
0.71 


1.62 
0.09 


18.01 


MISSISSIPPI.  31  SITES 


Organochlorines,  31  samples 

P,P'-DDE 

30 

(-.p-DDT 

26 

p,p'-DDT 

30 

P,P'-TDE 

11 

2  DDT 

30 

Dieidrin 

6 

Endrin 

2 

Toxaphene 

22 

Trifluralin 

9 

Organophosphates,  15  samples 

DEF 

3 

Heavy  Metals.  31  samples 

Arsenic 

31 

96.8 
83.9 
96.8 
35.5 
96.8 
19.4 
6.5 
71.0 
29.0 

20.0 

lOO.O 


0.29 
0.41 
1,98 
0.08 
2.68 
0.01 
0.02 
3.82 
0.1)1 

0.08 

9.65 


0.152 
0.203 
0.61  1 
0.015 
0.922 
0.003 
0.002 
0.579 
0.006 

0.010 

7.726 


0.01 
0.01 
0.01 
0.02 
0.02 

0.01 

0.02 
0.46 
0.02 

0.15 


1.26 
1.73 

16.07 
1.16 

19.97 
0.10 
0.64 

21.00 
0.15 

0.66 

20.15 


Organochlorines,  80  samples 

Aldrin  7 

Chlordane  5 

o.p'-DDE  1 

p.p-DDE  4 

o.p'-DDT  1 

/i.p'-DDT  5 

i;DDT  7 

Dieidrin  25 

Heptachlor  4 

Heptachlor  epoxide  6 

Propachlor  1 

Trifluralin  3 

Organophosphates,  67  samples: 

Triazines,  20  samples 

Atrazine  i.i 

Heavy  Metals.  80  samples 

Arsenic  80 


MISSOURI,  80  SITES 


)  residues  delected 


8.8 
6.3 
1.3 
5.0 
1.3 
6.3 
8.8 
31.3 
5.0 
7.5 
1.3 
3,8 


65.0 
100.0 


0  (13 

0.03 

<0.0I 

<(>.01 

<0.01 

0,01 

0.02 

0.07 

<O.OI 

<0.0I 

<0.01 

<0.01 


0.06 
5.02 


0.(102 
0.002 


0,002 
0.003 
0.014 
0.001 
0.(101 

0.001 


0.026 
3.739 


0.01 
0.09 
0.09 
0,01 
0.05 
0.03 
0.01 
0.01 
0.01 
0.02 
0.07 
0,02 


0.01 

0.88 


1.88 
1.09 

0.06 

0.33 
0.47 
0.78 
0.07 
0.10 

0.13 


0.34 

21.86 


NEBRASKA.   106  SITES 


Organochlorines,  106  samples 

Aldrin 

Chlordane 

op-DDE 

/■.p'-DDE 

op -DDT 

P./.'-DDT 

i;DDT 

Dieidrin 

Endrin 

Heptachlor 

Heptachlor  epoxide 
Organophosphates,  99  samples 

DEF 

Diazinon 
Triazines,  21  samples 

Atrazine 
Heavy  Metals,   106  samples 

Arsenic 


5 

32 


1 

17 
104 


0.9 
7.6 
0.9 
3.8 
1.9 
4.7 
4.7 
30.2 
1.9 
2.8 
8.5 

1.0 
1.0 

81.0 

98.1 


<0.01 
0.02 

<0.tll 
0.01 

<0.(I1 
0.02 
0,03 
0,02 

<0,01 
0.01 
(I.OI 

<0.01 
<0.01 

0,07 

5.24 


0.002 

0.001 
0.001 
0.002 
0.002 
0.008 
<0,001 
<0.001 
0.001 


(1.042 
3.282 


(Continued  next  page ) 


0.02 

— 

0.02 

0.71 

0.02 

— 

0.02 

0.55 

0.02 

0.41 

0.01 

1.35 

0,03 

2.33 

0.01 

0.31 

0.06 

0.08 

0.01 

— 

0.01 

0.07 

0.20 

— 

0.03 

— 

0.02 

0.28 

0.41 

18.37 

Vol.  12,  No.  3,  December  1978 


125 


TABLE  5    (cont'd.).     Compound  concenlratiom  in  cropland  soil,  hy  stale,  1971 — National  Soils  Monitoring  Program 


Residues,  ppm  Dky  WeicifT 


Compound 


No.  OF 

Positive 
Detections 


%  of 

Positive 

Detections 


Arithmetic 

Mean 

Concentration 


Geometric 

Mean 

Concentration  1 


Extremes  of 
Detected  Values 


MiN. 


Max. 


NEW  ENGLAND--.  20  SITES 


Orpanochlorincs.  20  samples 

Aldrin  I 

Chlordanc  1 

p.p'-DDE  6 

o.r-DDT  4 

r.r'-DDT  6 

o.P-TDE  I 

P.p-TDE  5 

2  DDT  6 

Dieldrin  3 

Hcpiachlor  I 

Hcptachlor  epoxide  1 

Organophosphatcs.  i^  samples 

Paraihion.  cihy!  I 

Tria/incs.  I  sample:  no  residues  detected 

Heavy  Metals.  20  samples 

Arsenic  19 


5.0 

5.0 

30.0 

20.0 

30.0 

5.0 

25.0 

30.0 

■  Si) 

5.0 

5.0 

5.3 


95.0 


0.01 

0.11 

0.07 

0.02 

0.)6 

<0.0I 

0.07 

0..12 

0.17 

<0.01 

<0.01 

0.01 


8.56 


0.014 
0.006 
0011 

0.0 10 
(1.026 
0.006 


2.841 


0.28 
2.20 

()(>6 
0.05 
0.0.1 
0.05 
0.02 
0.09 
O.IH 
0.04 
0.0,1 

0.14 


060 


0.44 
0.22 
0.90 

0.92 
2.16 
3.26 


69.10 


NEW  YORK.  18  SITES 


Orpanochlorines.  ?8  samples 

Chlordane  2 

o.p'-DDE  1 

p.p'-DDE  1 1 

o.p'-DDT  7 

P.p'-DDT  10 

...P-TDE  2 

P.p'-TDE  5 

i  DDT  1 1 

Dieldrin  4 

Heptachlor  epoxide  1 

Trifliiralin  1 


5.3 

2.6 

29.0 

18.4 

26.3 

5.3 

13.2 

29.0 

10.5 

2.6 

2.6 


Organophosphaies.  ,15  samples:  no  residues  detected 
Triazines.  6  samples 

Alrazine  6  lOO.O 

Heavy  Metals.  .18  samples 

Arsenic  .18  100.0 


0.01 

<n.0l 

1.74 

IJl 

7.69 

0.45 

1.07 

12.26 

0.28 

<0.01 

<0.01 


n.ig 

1  1 .6.1 


0,002 

0.016 
0.011 
0.022 
0.001 
0.008 
0.028 
0.005 


0.1.16 
5.466 


0.11 
0.10 
0.01 
0.(11 
0,02 
0,21 
0,11 
0,02 
0,01 
0.01 
0.14 


0.04 
0.41 


0.40 

54.98 
12.75 

245.18 
16.79 
38.46 

388.16 
9.8.1 


0.18 
180.42 


NORTH  CAROLINA.   11   SITES 


Orpanochlorines,  31  sampl 

es 

Aldrin 

1 

3.2 

Chlordane 

2 

6.5 

o.p-DDE 

T 

6.5 

P.p-DDE 

25 

80.7 

«,p'-DDT 

18 

58.1 

p.p-DDT 

25 

80.7 

P.p'-TDE 

18 

58.1 

2  DDT 

26 

83.9 

Dieldrin 

14 

54.2 

Endrin 

1 

3.2 

Heptachlor 

1 

3.2 

Hcptachlor  epoxide 

1 

3.2 

Toxaphene 

7 

22.6 

Orpanophosphates.  7  samp 

les: 

no  residues 

detected 

Heavy  Metals.  11  samples 

Arsenic  28 


<0.01 
0.05 

<0.01 
0.08 
0.05 
0.27 
0.05 
0.46 
0.04 

<0.0I 
0.01 

<0.01 
0.65 


;.4i 


o.mii 

0,00 1 
0,04,1 
0.022 
0.087 
0.024 
0.169 
0.015 


0.04 
0.17 
0.(11 
(1.(11 
0.01 
0.01 
0.01 
0,02 
0,01 
0,01 
0,14 
(l,OS 
11,51 


1.06 
0.05 
0,50 
0.51 
2.62 
0.23 
3.63 
0.13 


OHIO.  57  SITES 


Organochlorines.  57  samples 

Aldrin 

7.0 

Chlordane 

5.3 

p.p'-DDE 

7.0 

r/,p-DDT 

3.5 

p.p-DDT 

7.0 

<..p-TDE 

1.8 

P.P-TDE 

5.3 

i:DDT 

8.8 

Dieldrin 

6 

10.5 

Heplachlor 

1 

1.8 

Hcplachl(*i  1 

L-poxidc 

2 

3.5 

Trifliiralin 

1 

1.8 

Orjianophosph 

laies.  49 

samples: 

no  residues 

detected 

Triazines.  10  samples 

Alrazine 

5 

50.0 

Heavy  Metals. 

57  sam 

pics 

Arsenic 

57 

100.0 

0.01 
0.02 
0.12 
0.07 
0.51 

<o.oi 

0.06 

0.76 

0.02 

<0.01 

<0.01 

<O.OI 


0.25 

14.17 


0,002 
(1,002 
0,001 
0.002 
0.004 

0.002 
0,005 
0,004 

<O.IX)l 


0,047 
9.858 


0.02 
0,05 
0,(14 
0.15 
(1,06 
0,05 
(1,05 
(1,04 
0,06 
0,14 
0,01 
0,10 


0,05 
1,1  I 


0.33 
0.86 
4.55 
3.79 
23.70 

2.07 

34.11 

0.46 

0.04 


1.38 

48.97 


(Continued  next  page) 


126 


Pesticides  Monitoring  Journal 


TABLE  5    (cont'd.) 

Compound  concentrations  in 

1  cropland  soil,  by  state. 

1971 —National  Soils 

:  Monitoring  Program 

No.  OF 

%  OF 

Residues,  ppm  Dry  Weight 

Arithmetic 

Geometric 

Extremes  op 

Positive 
etections 

Positive 
Detections 

Mean                            Mean 
Concentration           Concentration' 

Detected  Values 

Compound                           D 

Min. 

Max. 

OKLAHOMA.  65  SITES 

Organochlorines.  64  samples 

».p'-DDE 

I 

1.6 

<0.0I 



0.03 

__ 

P.p'-DDE 

S 

7.8 

0.03 

0.002 

0.01 

1.72 

o.p'-DDT 

1 

1.6 

<0.01 



0.03 

p,p'-DDT 

3 

4.7 

0.01 

0.001 

0.01 

0.85 

p.p'-TDE 

1 

1.6 

<0.0I 

— 

0.12 

2  DDT 

6 

9.4 

0.05 

0.002 

0.01 

3.02 

Dieldrin 

2 

3.1 

<0.01 

0.00 1 

0.08 

0.23 

Endrin 

1 

1.6 

<0.0I 

— 

0.05 

Organophosphates.  58  samples: 

:  no  residues  detected 

Triazines,  ]  sample 

Atrazine 

1 

100.0 

0.05 

^- 

0.05 

__ 

Heavy  Metals,  65  samples 

Arsenic 

64 

98.5 

2.66 

1.872 

0.32 

10.08 

OREGON,  38  SITES 

Organochlorines.  38  samples 

Aldrin 

2 

5.3 

<0,0I 

0.00 1 

0.02 



o.p'-DDE 

1 

2.6 

<tl.01 

— 

O.OI 



p.p'-DDE 

12 

31.6 

0.45 

0.008 

0.0 1 

16.69 

o,p'-DDT 

6 

1S.S 

0.12 

0.003 

0.01 

4.S1 

P.p'-DDT 

6 

15.8 

0.49 

0.006 

0.03 

18.20 

p.p'-TDE 

2 

5.3 

<0.01 

0.00 1 

0.01 

0.10 

2  DDT 

12 

31.6 

1.07 

0.011 

0.01 

39.40 

Dieldrin 

6 

1S.8 

0.07 

0.006 

0.06 

2.15 

Endrin 

2 

5.3 

<0.0I 

0.009 

0.03 

Heplachlor  epoxide 

1 

2.6 

<0.0I 

— 

O.OI 



Organophosphates.  18  samples: 

no  residues  detected 

Heavy  Metals,  38  samples 

Arsenic 

38 

100.0 

5.04 

2.830 

0.38 

61.81 

PENNSYLVANIA.  36  SITES 

Organochlorines.  36  samples 

Aldrin 

1 

2.8 

<0.0I 

— 

0.15 

— 

P.p'-DDE 

3 

8.3 

0.01 

0.002 

0.05 

0.14 

o,p'-DDT 

1 

2.8 

<0.0I 

— 

0.01 



p.p'-DDT 

3 

8.3 

0.0 1 

0.002 

0.02 

0.15 

2  DDT 

3 

8.3 

0.0 1 

0.003 

0.07 

0.30 

Dieldrin 

5 

13.9 

0.02 

0.003 

0.01 

0.49 

Endrin 

1 

2.8 

<0.01 

— 

0.06 

— 

Organophosphates,  35  samples: 

no  residues  detected 

Triazines,  5  samples 

Atrazine 

2 

40.0 

0.02 

0.009 

0.03 

0.05 

Heavy  Metals,  36  samples 

Arsenic 

36 

100.0 

6.83 

5.979 

1.96 

17.19 

SOUTH 

CAROLINA,   17  SITES 

Organochlorines,  17  samples 

Aldrin 

1 

5.9 

<0.01 

— 

0.01 

— 

p.p'-DDE 

17 

100.0 

0.24 

0.182 

0.01 

0.47 

o,p'-DDT 

15 

88.2 

0.23 

0.127 

0.02 

0.91 

p.p'-DDT 

17 

100.0 

0.85 

0.544 

0.05 

3J8 

p.p'-TDE 

4 

23.5 

0.08 

0.012 

0.12 

0.55 

2  DDT 

17 

lOO.O 

1.40 

0.908 

0.06 

4.65 

Dieldrin 

6 

35.3 

0.11 

0.014 

0.02 

1.42 

Toxaphene 

13 

76.5 

3.17 

0.6-36 

0.49 

18.10 

Organophosphates,  3  samples: 

no  residues 

detected 

Heavy  Metals,  17  samples 

Arsenic 

17 

100.0 

1.75 

1.085 

0.13 

9.59 

SOUTH 

DAKOTA.   106  SITES 

Organochlorines,  106  samples 

Aldrin 

1 

0.9 

<0.0I 

— 

0.08 

— 

Chlordane 

4 

3.8 

0.01 

0.001 

0.03 

0.36 

p.p'-DDE 

1 

0.9 

<0.0I 

— 

O.OI 

— 

p.p'-DDT 

1 

0.9 

<0.01 

— 

O.OI 

— 

2  DDT 

1 

0.9 

<o.ni 

— 

0.02 

— 

Dieldrin 

5 

4.7 

<0.01 

0.001 

0.01 

0.27 

Heptachlor  epoxide 

4 

3.8 

<0.01 

O.OOI 

O.OI 

0.05 

Organophosphates.  101  samples 

;;  no  residues  delected 

Triazines,  3  samples 

Atrazine 

3 

100.0 

0.19 

0.166 

0.09 

0.31 

Heavy  Metals,  106  samples 

Arsenic 

105 

99.1 

6.04 

5.231 

0.90 

31.05 

{Continued  next  page) 


Vol.  12,  No.  3,  December  1978 


127 


TABLE  5     (cont'd.).     Compound  concentrations  in  cropland  soil,  by  stale,  1971 — National  Soils  Monitoring  Program 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 

%  OF 

Arithmetic 

Geometric 

Positive 

Positive 

Mean 

Mean 

lETECTIONS 

Detections 

Concentration 

Concentration! 

TENNESSEE.  27  SITES 


Organochlorines.  27  samples 

Chlordane 

p.p'-DDE 

o.p'-DDT 

P.p-DDT 

p.p'-TDE 

2  DDT 

Dieldrin 

Heptachlor 

Heplachlor  epoxide 

Toxaphene 

Trifiuralin 

Organophosphates,  16  samples:  no  residues  detected 
Triazines,  1  sample:  no  residues  detected 
Heavy  Metals,  27  samples 

Arsenic 


1 
9 
7 

10 
4 

11 
1 
1 
1 
2 
2 


27 


3.7 

33.3 

25.9 

37.0 

14.8 

40.7 

3.7 

3.7 

3.7 

7.4 

7.4 


100.0 


0.02 

0.09 

0.03 

0.17 

0.01 

0.30 

<0.01 

<0.01 

<0.01 

0.16 

<0.01 


8.52 


0.013 
0.009 
0.022 
0.003 
0.030 


0.005 
0.001 


7.114 


Extremes  of 
Detected  Values 


MlN. 


0.49 
0.01 
0.01 
0.01 
0.02 
0.01 
0.02 
0.02 
0.12 
2.06 
0.01 


1.53 


Max. 


1.28 
0.23 
1.59 
0.15 
2.29 


2.14 


16.78 


VIRGINIA/WEST  VIRGINIAN  27  SITES 


Organochlorines,  27  samples 

Chlordane 

D.p'-DDE 

p.p-DDE 

o,p'-DDT 

p.p'-DDT 

o,p'-TDE 

p.p'-TDE 

2DDT 

Dieldrin 

Endrin 

Heptachlor 

Heptachlor  epoxide 
Organophosphates,  25  samples: 
Heavy  Metals.  27  samples 

Arsenic 


1 

2 
9 
3 
5 
2 
5 
9 
5 
1 
1 
1 
no  residues  detected 


3.7 

7.4 

33.3 

11.1 

18.5 

7.4 

18.5 

33.3 

18.5 

3.7 

3.7 

3.7 


0.03 
0.01 
0.21 
0.02 
0.16 
0.05 
0.29 
0.74 
0.01 
0.02 
<0.01 
<0.01 


27 


100.0 


0.001 
0.010 
0.003 
0.007 
0.003 
0.006 
0.017 
0.003 


2.081 


0.83 
0.01 
0.02 
0.03 
0.03 
0.12 
0.02 
0.02 
O.OI 
0.51 
0.12 
0.08 


0.41 


0.14 
5.41 
0.36 
3.78 
1.35 
7.47 
18.51 
0.08 


16.66 


WASHINGTON  STATE,  45  SITES 


Organochlorines,  45  samples 

Aldrin 

Chlordane 

o.p'-DDE 

p.p'-DDE 

o,p'-DDT 

P.p-DDT 

p.p'-TDE 

2  DDT 

Dieldrin 
Organophosphates,  37  samples: 
Heavy  Metals,  45  samples 

Arsenic 


2 

2 

2 
10 

4 

5 

2 
10 

4 
no  residues  detected 


4.4 
4.4 
4.4 

22.2 
8.9 

11.1 
4.4 

22.2 
8.9 


45 


100.0 


<0.01 
0.01 

<0.01 
O.ll 
0.02 
0.21 
0.04 
0.39 

<0,01 


3.29 


0.001 
0.001 
0.001 
0.007 
0.003 
0.008 
0.002 
0.011 
O.OOI 


0.01 
0.01 
0.01 

0.01 
0.10 
0.53 
0.07 
0.01 
0.02 


0.03 
0.45 
0.06 
2.74 
0.48 
3.21 
1.83 
7.46 
0.04 


32.07 


WISCONSIN,  67  SITES 


Organochlorines,  67  samples 

Chlordane 

p.p'-DDE 

o,p'-DDT 

p.p'-DDT 

2DDT 

Dieldrin 

Heptachlor 
Organophosphates,  64  samples; 
Triazines,  36  samples 

Alrazinc 
Heavy  Metals.  67  samples 

Arsenic 


1 
5 

2 
2 
5 
3 

no  residues  detected 


1.5 
7.5 
3.0 
3.0 
7.5 
4.5 
1.5 


66 


50.0 


98.5 


<0.01 
0.01 

<0.01 
0.02 
0.04 

<0.01 

<0.01 


0.06 
1.53 


0.002 
0.001 
0.001 
0.002 
0.001 


0.020 
1.039 


0.03 
0.01 
0.13 
0.51 
0.01 
0.07 
0.01 


0.01 
0.09 


0.32 
0.20 
0.94 
1.46 
0.15 


0.63 
12.66 


'Not  calculated  when  fewer  than  two  positive  detections  were  present. 

=  Somc  smaller  eastern  stales  with  few  sites,  hut  which  have  similar  geographic  locations  and /or  agricultural  characteristics  were  combined  to  obtain 

more  representative  data  including:  Mid-Atlantic  states:  Delaware,  Maryland,  New  Jersey.    New  England  states:  Connecticut,  Maine,  Massachusetts. 

New  Hampshire,  Rhode  Island,  Vermont;  Virginia/West  Virginia. 


are  presented  in  Figures  2-7.  The  key  for  each  figure 
is_  based  on  the  arithmetic  average  percent  occurrence 
(x)  of  the  compound  for  all  sites.   The  four  classes  are 


described  as:  greater  than  2x;  greater  than  x  but  less 
than  2x;  greater  than  Vix  but  less  than  x;  and  less 
than  Vix. 


128 


Pesticides  Monitoring  Journal 


X 

KEY 

\ 

■^x   < 

K^«^ 

X    < 

1111111111-^ 

2   X 

k\\^^ 

X 

|:-'-/-.V:;-;l^ 

1/2  X 

FIGURE   2.     Percent  occurrence  of  oUlrin  residue  ileteclions  in  cropland  soil,  by  stale,  1971 .  National  Soils 
Moiiitorini;  Program.  U.S.  Environmental  Protection  Agency 


FIGURE   3.     Percent  occurrence  of  dicldrin  residue  detections  in  cropland  soil,  by  state.  1971,  National  Soils 
Monitoring  Program,  U.S.  Environmental  Protection  Agency 


Vol.  12,  No.  3,  December  1978 


129 


FIGURE  4.    Percent  occurrence  of  heptacMor  epoxide  residue  detections  in  cropland  soil,   by  slate,    1971.   National  Soils 

Monitoring  Program,  U.S.  Environmental  Protection  Agency 


MME1<   1/2  i 

FIGURE  5.     Percent  occurrence  of  '2.DDT  residue  detections  in  cropland  soil,  />v  slate  1971 .  National  Soils 
Monitoring  Program,  U.S.  Environmental  Protection  Agency 


130 


Pesticides  Monitoring  Journal 


X  <  IITTTTTTTI  <  2x 
1/2  '^<  KS3^  ^ 

|.:;.:  .,;  Xi  <   1/2   X 

FIGURE  6.     Percent  occurrence  of  chlordane  residue  detections  in  cropland  soil,  by  stale,  1971,  National  Soils 
Monitoring  Program,  U.S.  Environmental  Protection  Agency 


FIGURE  7.     Percent  occurrence  of  elemental  arsenic  detections  in  cropland  soil,  by  slate.  1971.  National  Soils 
Monitoring  Program,  U.S.  Environmental  Protection  Agency 


Vol.  12.  No.  3,  December  1978 


131 


Illinois  showed  the  highest  percent  occurrence  of  aldrin, 
dieldrin.  chlortlane.  and  heptachlor  epoxide  (Fig.  2-4, 
6).  Ihc  compounds  are  soil  insecticides  or  their  degra- 
dation products  used  in  corn  production.  -DDT  resi- 
dues were  concentrated  in  the  southeastern  states  and 
California  (Fig.  5).  Generally,  Oklahoma,  Oregon, 
Penns\lvania,  and  Wisconsin  had  pesticide  levels  below 
the  all-sites  average  detection  frequency. 

COMPOUND  CONCENTRATIONS  IN  CROPS 

Crop  samples  were  collected  from  729  sites,  or  48  per- 
cent of  the  scheduled  1,533  sites.  Samples  were  col- 
lected only  from  those  sites  where  crops  were  mature 
and/or  ready  for  harvest.  All  crop  samples  were 
analyzed  for  organochlorines.  In  addition,  samples  were 
analyzed  for  organophosphates  and  atrazine  when  pesti- 
cide application  records  indicated  their  use  during  the 
current  growing  season.  Thus,  the  organophosphate  and 
atrazine  concentration  data  could  result  in  higher  oc- 
currence frequencies  than  might  occur  if  all  samples 
had  been  analyzed. 

Table  6  gives  the  occurrence  of  pesticide  residues  in 
the  crop  materials  sampled.    For  all  crops,  42  percent 


of  the  samples  analyzed  contained  detectable  concen-- 
trations  of  organochlorines,  I  3  percent  contained  detect- 
able concentrations  of  organophosphates,  and  only  1 
percent  contained  detectable  concentrations  of  atrazine. 
In  general,  crops  with  known  patterns  of  heavy  pesticide 
application,  or  animal  feed  crops  (alfalfa,  hay,  field 
corn,  soybeans)  grown  in  rotation  with  these  crops,  had 
the  highest  frequencies  of  detectable  pesticides. 

Table  7  presents  the  compound  concentrations  detected 
in  each  crop  sampled.  -DDT  occurred  most  frequently 
in  all  crops  analyzed,  with  the  exception  of  cornstalks,  in 
which  dieldrin  residues  predominated.  The  high  fre- 
quency of  occurrence  of  -DDT  is  probably  the  result 
of  prior,  widespread  use  of  DDT. 

Acknowledgments 
It  is  not  possible  to  list  by  name  all  persons  who  con- 
tributed to  this  study.  The  authors  are  especially  grate- 
ful to  the  staff  of  the  Pesticides  Monitoring  Laboratory, 
Bay  St.  Louis,  Mississippi,  who  received,  processed  and 
analyzed  the  samples  for  compound  residues,  and  to  the 
inspectors  of  the  Animal  and  Plant  Health  Inspection 
Service,  USDA,  who  collected  the  samples. 


TABLE  6.    Occurrence  of  pesticide  residues  in  standing  agricidtural  crops.  1971 — National  Soils  Monitoring  Program 


ORGANOrHLORINES 

Organophosphates 

Triazines 

No.  OF 

%  OF 

No.  OF 

%  OF 

No.  OF 

%  OF 

No.  OF 

Positive 

Positive 

No.  OF 

Positive 

Positive 

No.  OF 

Positive 

Positive 

Crop 

Analyses 

Detections 

Detections 

Analyses 

Detections     C 

ETECTIONS 

Analyses 

Detections 

Detections 

Alfalfa/bur  clover 

61 

33 

54 

17 

2 

12 

— 

— 

. — 

Beans,  dry 

5 

0 

0 

4 

0 

0 

— 

— 

'  — 

Clover 

4 

2 

50 

1 

0 

0 

— 

— 

— 

Corn,  field  (kernels) 

304 

40 

13 

46 

1 

2 

1 

1 

100 

Cornstalks 

286 

164 

57 

125 

1 

1 

73 

0 

0 

Cotton 

28 

15 

54 

26 

8 

31 

— 

— 

— 

Cottonseed 

19 

12 

63 

18 

5 

28 

— 

— 

— 

Cotton  stalks 

44 

40 

91 

35 

27 

77 

— 

— 

— 

Cowpeas 

1 

0 

0 

— 

— 

— 

— 

— 

— 

Grass  hay 

11 

6 

55 

3 

0 

0 

— 

— 

— 

Milo 

2 

1 

50 

— 

— 

— 

— 

— 

— 

Mint 

1 

1 

100 

-^ 

— 

— 

— 

— 

— 

Mixed  hay 

51 

26 

51 

17 

1 

6 

— 

— 

— 

Oats 

1 

0 

0 

— 

— 

— 

— 

— 

— 

Oats,  straw 

4 

4 

100 

2 

0 

0 

— 

— 

— 

Pasture 

18 

10 

56 

3 

0 

0 

— 

— 

— 

Peanuts 

8 

2 

25 

1 

0 

0 

— 

— 

— 

Pecans 

1 

0 

0 

— 

— 

— 

— 

— 

— 

Rice 

2 

2 

100 

— 

— 

— 

— 

— 

— 

Rice  straw 

1 

1 

100 

— 

— 

— 

— 

— 

— 

Sorghum  (grain) 

18 

6 

33 

3 

0 

0 

2 

0 

0 

Sorghum  stalks 

2.1 

14 

61 

4 

0 

0 

2 

0 

0 

Soybeans 

177 

69 

39 

45 

0 

0 

9 

0 

0 

Soybean  hay 

8 

8 

100 

— 

— 

— 

— 

— 

— 

Sweet  sorghum 

1 

0 

0 









— 



Timothy 

I 

0 

0 

— 

— 



— 

— 

— 

Tobacco 

2 

2 

100 

— 

— 



— 

— 

— 

Wheat 

1 

0 

0 

— 



— 

— 

— 

— 

Wheat  straw 

1 

0 

0 

— 

— 

— 

— 

— 

— 

TOTAL 

1,084 

458 

42 

350 

45 

13 

87 

1 

1 

132 


Pesticides  Monitoring  Journal 


TABLE  7.     Compound  concenlralions  in  standing  agricidlural  crops,  1971 — National  Soils  Monitoring  Program 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 

Positive 

Detections 


%  OF 

Positive 
Detections 


Arithmetic 
Mean 


Estimated 
Geometric 

Mean  ' 


Detected  Values 


MiN. 


Max. 


Organochlorines,  61  samples 

Chlordane 

P,p'-DDE 

o,p-DDT 

p,p -DDT 

P,p'-TDE 

2  DDT 

Dieldrin 

Toxaphene 
Organophosphales.  17  sample 

Parathion.  elhyl 

Parathion,  methyl 


ALFALFA/BUR  CLOVER 


2 
20 
15 
27 

1 
28 
11 


3.3 
32.8 
24.6 
44.3 

1.6 
45.9 
18.0 

1.6 

11.8 


0.01 
0.01 
0.01 
0.04 

<0.01 
0.06 

<0.01 
0.01 

2.32 
0.27 


0.001 
0.005 
0.004 
0.014 

0.018 
0.002 


0.17 
0.01 
0.01 
0.01 
0.01 
0.01 
0.01 
0.38 

3.20 
4.57 


0.42 
0.09 
0.14 
0.66 

0.88 
O.OS 


36.20 


BEANS.  DRY  (All  Varieties) 


Organochlorines,  5  samples:  no  residues  detected 
Organophosphales,  4  samples:  no  residues  detected 


CLOVER   (Trifolium  sp.) 


Organochlorines,  4  samples 

P.p'-DDT 

1 

ZDDT 

1 

Dieldrin 

1 

25.0 
25.0 
25.0 


<0.01 
<0.01 
<0.0I 


Organophosphales,  I  sample:  no  residues  detected 


0.02 
0.02 
0.01 


FIELD  CORN  (Kernels) 


Organochlorines,  304  samples 

Chlordane 

P.p-DDE 

o.p'-DDT 

p.p-DDT 

^DDT 

Dieldrin 

Heptachlor 

Heptachlor  epoxide 
Organophosphales.  46  samples 

Parathion,  methyl 
Triazines.  99  samples 

Atrazine 


3 
2 

2 

3 
38 


1.0 
0.7 
0.3 
0.7 
1.0 
12.5 
0.3 
0.3 

2.2 

1,0 


<0.01 
<0.01 
<0.01 

<o.oi 
<o.oi 
<o.oi 
<o.oi 
<o.oi 

<o.oi 

<o.oi 


<o.ooi 
<o.ooi 

<o.ooi 
<o.ooi 

0.001 


0.08 
0.01 
0.05 
0.01 
0.01 
0.01 
0.05 
0.01 

0.09 

11.01 


0.48 
0.03 

0.26 
0.34 
0.07 


CORNSTALKS 


Organochlorines.  286  samples 

Chlordane  16 

p.p'-DDE  37 

o.p'-DDT  49 

P.p'-DDT  105 

P.p'-TDE  17 

^DDT  107 

Dieldrin  114 

Endrin  1 

Heptachlor  3 

Heptachlor  epoxide  22 

Toxaphene  15 

Organophosphales,  125  samples 

Parathion,  ethyl  1 

Triazines,  73  samples:  no  residues  detected 


5.6 

12.9 

17.1 

36.7 

5.9 

37.1 

39.9 

0.4 

1.1 

7.7 

5.3 

0.8 


0.02 
<0.01 
<0.0l 

0.02 
<0.01 

0.03 

0.01 
<0.01 
<0.01 
<0.01 

0.04 

<0.01 


0.002 
0.001 
0.002 
0.006 
0.001 
0.008 
0.006 

<0.00l 
0.001 
0.002 


Organochlorines,  28  samples 

p.p-DDE 

7 

n.p -DDT 

1 

;'.P'-DDT 

15 

i;DDT 

15 

Dieldrin 

1 

Endrin 

1 

Endrin  ketone 

1 

Toxaphene 

6 

Organophosphales,  26  samples 

DEF 

6 

Parathion,  ethvl 

2 

Parathion,  methyl 

1 

COTTON 

25,0 

0.07 

7,1 

0.25 

53.6 

0.95 

53,6 

1.27 

3,6 

<0.01 

3.6 

<0.01 

3.6 

<0.01 

21.4 

1.22 

23.1 

0.08 

7.7 

0.04 

3.8 

0.01 

0.006 
0.004 
0.039 
0.043 


0.019 


0.012 
0.004 


COTTONSEED 


Organochlorines,  19  samples 
r>  n'.nnp 


p.p'-DDE 
).P-DDT 


36.8 
31.6 


0.06 
0,28 


0.010 
0.019 


0.05 
0.01 
0.01 
0.01 
0.01 
0.01 
0.01 
0.06 
0.01 
0.01 
0.07 

0.36 


0.01 
0.21 
0.01 
0.03 
0.02 
0.09 
0.06 
0.18 

0.08 
0.49 
0.18 


0.01 
0.02 


1.26 
0.06 
0.16 
0.55 
0.10 
0.78 
0.17 

0.03 
0.51 
2.83 


1.86 

6.87 

22.99 

31.72 


28.89 


0.62 
0.53 


0.82 
3.32 


(Continued  next  page) 


Vol.  12,  No.  3,  December  1978 


133 


TABLE  7     (cont'd.).     Compound  concentrations  in  standing  agricultural  crops,  1971 — National  Soils  Monitoring  Program 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 

Positive 
Positive 


%  OF 

Positive 
Detections 


Arithmetic 
Mean 


Estimated 

Geometric 

Mean> 


Detected  Values 


MiN. 


Max. 


P.P'-DDT 
2  DDT 
Toxaphcne 
Organophosphates. 
DEF 


8  samples 


47.4 
47.4 
26.3 

27.8 


0.87 
1.21 
1.12 

0.07 


0.040 
0.053 
0.031 

0.01-1 


0.03 
0.04 
0.55 

0.10 


14.09 
18.23 
13.54 

0.63 


COTTON  STALKS 


Organochlorines,  44  samples 

Chlordane  1 

o.p'-DDE  1 

p.p'-DDE  34 

o,p'-DDT  34 

P.P'-DDT  40 

p.p-TDE  17 

2  DDT  40 

Dieldrin  4 

Endrin  1 

Endrin  ketone  1 

Heptachlor  epoxide  1 

Toxaphene  31 

Organophospliates.  35  samples 

DEF  17 

Parathion.  ethyl  5 

Parathion,  methyl  21 


2.3 

2.3 

77.3 

77.3 

90.9 

38.6 

90.9 

8.9 

2.3 

2.3 

2.3 

70.5 

48.6 
14.3 
60.0 


0.01 

<0.Q1 

0.30 

1.48 

7.67 

0.83 

9.15 

<0.01 

0.14 

0.01 

<0.01 

10.21 

2.01 
0.23 
0.30 


0.062 
0.153 
0.691 
0.032 
0.916 
0.001 


0.628 

0.085 
0.006 

0.068 


0.40 
0.10 
0.01 
0.01 
0.02 
0.01 
0.04 
0.01 
6.26 
0.37 
0.01 
0.15 

0.11 
0.04 

0.04 


4.06 
28.10 
114.63 

17.78 

160.51 

0.08 


150.00 

37.13 
7.32 
1.53 


COWPEAS 


Organochlorines,  1  sample:  no  residues  detected 


GRASS  HAY 


Organochlorines,  1 1  samples 

Chlordane 

P.p'-DDE 

o.p'-DDT 

P.P'-DDT 

2  DDT 

Dieldrin 

Toxaphene 
Organophosphates.  3  samples: 


5 
4 
5 
5 
2 
2 
no  residues  detected 


9.1 

45.4 
36.4 
45.4 
45.4 
18.2 
18.2 


0.0 1 
0.02 
0.03 
0.08 
0.13 

<-n.oi 

0.21 


0.007 
0.008 
0.015 
0.021 
0.002 
0.012 


0.19 
0.01 
0.01 
0.02 
0.03 
0,01 
0.26 


0.12 
0.32 
0.73 
1. 17 
0.02 
2.00 


MILO 


Organochlorines,  2  samples 
Dieldrin 


50.0 


0.05 


0.11 


MINT 


Organochlorines,  1  sample 
P,p'-DDE 
o,p'-DDT 
P,p'-DDT 
2  DDT 


Organochlorines,  51  samples 

Chlordane  4 

P.p'-DDE  12 

o.p'-DDT  8 

P.P'-DDT  17 

P.p'-TDE  1 

2DDT  17 

Dieldrin  15 

Toxaphene  6 

Organophosphates.  17  samples 

DEF  1 

Parathion.  methyl  1 


100.0 

0.05 

— 

100.0 

0.01 

— 

100.0 

0.15 

— 

100.0 

0,21 

— 

MIXED  HAY 

7.8 

0.07 

0.004 

23.5 

0.01 

0.003 

15.7 

0.03 

0.003 

33.3 

0.26 

0.011 

2.0 

<0.0I 

— 

33.3 

0.31 

0.012 

29.4 

0.01 

0.004 

11.8 

0.36 

0.007 

5.9 

<0.0I 



5.9 

<0.01 



Organochlorines,  4  samples 

Chlordane  1  25.0 

P.p'-DDE  2  50.0 

o.p'-DDT  2  50.0 

p.p'-DDT  3  75.0 

2  DDT  3  75.0 

Dieldrin  2  50.0 

Organophosphates  2  samples:  no  residues  detected 


0.01 
<0.01 
<0.01 
0.02 
0.03 
0.01 


0.004 
0.004 
0.019 
0.026 
0.009 


0.05 
0.01 
0.15 
0.21 


0.25 
0.01 
0.01 
0.01 
0.01 
0.02 
0.01 
0.16 

0.06 
0.02 


0.03 
0.01 
0.01 
0.02 
0.04 
0.01 


1.68 

0.48 

1.23 

12.24 

13.95 
0.05 
15.73 


OATS 

Organochlorines, 

1  sample:  no  residues  detected 

OAT  HAY/STRAW 

0.04 
0.06 
0.05 


(Continued  next  page) 


134 


Pesticides  Monitoring  Journal 


TABLE  7    (cont'd. ) .     Compound  concentrations  in  standing  agricultural  crops,  1971 — National  Soils  Monitoring  Program 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 
Positive 

DETECnONS 


%  OF 

Positive 
Detections 


Arithmetic 
Mean 


Estimated 

Geometric 

Mean' 


Detected  Values 


MlN. 


Max. 


PASTURE 


Organochlorines.  18  samples 

Chlordane  3  16.7 

p.p'-DDE  3  16.7 

o.p'-DDT  2  11.1 

p.p-DDT  6  33.3 

D.p'-TDE  1  5.6 

p.p'-TDE  1  5.6 

2  DDT  6  33.3 

Dieldrin  6  33J 

Endrin  1  5.6 

Heptachlor  epoxide  I  5.6 

Toxaphene  1  5.6 

Organophosphates.  3  samples:  no  residues  detected 


0.05 
<0.01 
<0.01 

0.01 
<0.01 
<0.01 

0.04 
<0.01 
<0.0I 
<0.01 

0.01 


0.009 
0.001 
0.001 
0.005 


0.008 
0.006 


0.37 
0.01 
0.02 
0.01 
0.45 
0.07 
0.01 
0.02 
O.Ol 
0.01 
0.23 


0.63 
0.02 
0.03 
0.08 


0.63 
COS 


PEANUTS 


Organochlorines,  8  samples 

Dieldrin  2 

Organophosphates.  1  sample:  no  residues  detected 


0.01 


0.004 


0.03 


PECANS 


Organochlorines,  1  sample:  no  residues  detected 


Organochlorines,  2  sample 
p.p'-DDE 
o.p'-DDT 
p.p'-DDT 
2  DDT 
Heptachlor 


RICE 


100.0 

50.0 

100.0 

100.0 

50.0 


0.02 
0.03 
0.15 
0.20 
<0.01 


0.018 


0.096 
0.126 


0.01 
0.06 
0.03 
0.04 
0.01 


0.03 


0.27 
0.36 


Organochlorines,  1  sample 
p.p'-DDE 
o.p'-DDT 
p.p'-DDT 
2  DDT 
Toxaphene 


RICE  STRAW 


100.0 
100.0 
100.0 
100.0 

1 00.0 


0.04 
0.11 
0.12 
U.27 
0.52 


0.04 
0.11 
0.12 
0.27 
0.52 


SORGHUM 


Organochlorines,  18  samples 

Chlordane  3 

p.p'-DDE  2 

o.p'-DDT  1 

P.p'-DDT  3 

p.p'-TDE  1 

2  DDT  3 

Dieldrin  4 

Endrin  1 

Heptachlor  epoxide  1 

Toxaphene  1 

Organophosphates,  3  samples:  no  residues  detected 

Triazines,  2  samples:  no  residues  detected 


16,7 

0.03 

11.1 

0.01 

5.6 

0.02 

16.7 

0.06 

5.6 

<0.01 

16.7 

0.04 

22.2 

0.02 

5.6 

<0.0I 

5.6 

<0.01 

5.6 

0.05 

SORGHUM  STALKS 


Organochlorines,  23  samples 

Chlordane  4 

p.p'-DDE  6 

o.p'-DDT  10 

p.p'-DDT  15 

P.p'-TDE  4 

2  DDT  16 

Dieldrin  6 

Endrin  1 

Endrin  ketone  1 

Heptachlor  1 

Heptachlor  epoxide  2 

Toxaphene  4 

Organophosphates.  4  samples:  no  residues  detected 

Triazines,  2  samples:  no  residues  detected 


17.4 

0.08 

26.1 

0.01 

43.5 

0.03 

65.2 

0.09 

17.4 

<0.01 

69.6 

0.13 

26.1 

0.05 

4.3 

0.03 

4.3 

0.01 

4.3 

<a.oi 

8.7 

<0.01 

17.4 

0.09 

SWEET  SORGHUM 


Organochlorines,  1  sample:  no  residues  detected 


0.005 
0.003 


0.004 


0.009 
0.005 
0.008 
0.023 
0.002 
0.031 
0.010 


0.001 
0.009 


0.02 

0.42 

0.07 

0.14 

0.30 

— 

0.02 

0.64 

0.05 

— 

0.01 

0.28 

0.02 

— 

0.02 

— 

0.84 

0.11 

0.81 

0.0 1 

0.12 

O.OI 

0.33 

0.01 

1.07 

0.02 

0.03 

0.01 

1.52 

0.02 

0.51 

0.60 

— 

0.19 

— 

0.02 

— 

0.03 

0.04 

0.24 

0.91 

(Continued  next  page) 


Vol.  12,  No.  3,  December  1978 


135 


TABLE  7     (cont'd.).     Compound  conccntralions  in  slandhii;  agrUuUunil  crops,  1971 — National  Soils  Monitoring;  Program 


Residues,  ppm  Dry  Weight 


Compound 


No.  OF 

Positive 

Detections 


Positive 
Detections 


Arithmetic 
Mean 


Estimated 

Geometric 

Mean  ^ 


Detected  Values 


MlN. 


Max. 


SOYBEANS 


Organochlorines.  177  samples 

p.p-DDE                                       5  2.8 

(i.;)-DDT                                       1  0.6 

p.p'-DDT                                       4  2.3 

2  DDT                                           5  2.8 

Dieldrin  55  31.1 

Endrin                                               7  3.9 

Hepiachlor  epoxide                      2  1.1 

Toxaphene                                     ."^  1.7 

Organophosphales,  45  samples:  no  residues  detected 

Triazines,  9  samples:  no  residues  detected 


<0.0I 
<0.01 
<0.01 
<0.01 
<0.01 
<0.01 

<n.oi 

0.01 


<o.ooi 

<o.ooi 
<o.ooi 

0.00.1 
<0.001 
<0.001 

0.001 


0.01 
0.01 
0.01 
0.02 
0.01 
0.01 
0.01 
0.10 


0.02 

COS 
0.07 
0.05 
0.03 
0.03 
0.66 


Organochlorines.  8  samples 

Chlordane  1 

P.P-DDE  4 

o.p'-DDT  2 

p.p'-DDT  6 

p.p'-TDE  3 

2  DDT  6 

Dieldrin  5 

Endrin  I 


SOYBEAN  HAY 


12.5 
50.0 
25.0 
75.0 
37.5 
75.0 
62.5 
12.5 


0.02 

0.01 

<0.0I 

o,o: 

0.1)1 

0,04 

0.01 

<0.01 


0.006 
0.002 
0.017 
0.005 
0.027 
0.006 


0.17 
0.01 
0.01 
0.01 
0.01 
0.01 
0.01 
0.01 


0.02 

0.05 
0.04 
0.09 
0.02 


TIMOTHY 


Organochlorines.  1  sample:  no  residues  detected 


TOBACCO 


Organochlorines.  2  samples 

».P-DDE 

P.P-DDE 

«.p-DDT 

P.p-DDT 

2 

o.p-TDE 

P.p'-TDE 

2  DDT 

2 

Dieldrin 

Endosulfan 

Endosulfan  11 

Endosulfan  sulfate 

50.0 
50.0 
50.0 

100.0 
50.0 
50.0 

100.0 
50.0 
50.0 
50.0 
50.0 


0.25 

0.1') 
l.IO 
.l.«7 
2.X7 
S,54 
17.0.1 
0.14 
0.66 
2.6.1 
.1.28 


0..184 


0.815 


'Not  calculated  when  fewer  than  two  positive  detections  were  present. 


0.50 
0.78 
2.20 
0.01 
5.74 
17.09 
0.01 
0.69 
1.33 
5.26 
6.57 


7.74 


34.05 


WHEAT 

Organochlorines, 

1  sample: 

no  residues  detected 

WHEAT  STRAW 

Organochlorines, 

1  sample: 

no  residues  delected 

LITERATURi:  CITED 

(/)   licnnell.  I.  L.   1967.  Foreword.  Peslic.   Monil.  J.   1(1). 

(2)  C\ircy.  A.  E..  J.  A.  Gowen.  and  C .  II.  IVicrsina.  I97S. 
Pesticide  application  and  cropping  data  from  .'^7  slates. 
in  1^71 — National  Soils  Monitoring  Program.  Peslic. 
Monil.  J.  i:(.^):l37-14S. 

(3)  Crockcli.  A.  li..  a.  B.  Wiersnia.  II.  Tui.  W.  C. 
Mitchell.  I'.  /•'.  .Sand,  and  A.  E.  Carey.  1974.  Pesticide 
residue  levels  in  soils  and  crops,  FY-7(l--National 
Soils  Monitoring  Program  (II).  Peslic.  Monil.  J. 
8(2):69-97. 

{4)  Panel  on  Festicide  Moniiorin.t,'.  197 1 .  Criteria  lor  defin- 
ing pesticide  levels  lo  be  considered  an  alcrl  to  poten- 
tial problems.  Peslic.  Monil.  J.  .St  1  )  i.ld. 

(.■i)  Sand.  I'.  I-..  J.  H.  C.entrx,  J.  Ilonnherf;.  and  M.  S. 
Schecter.  1967.  National  soil  monitoring  program 
sliidies  of  high-,  low-,  and  noniise  areas.  Peslic. 
Monil.  J.  Ill):  16-19. 

(6)  Stevens.  /..  J..  (  .  W.  (Oilier,  and  /).  W .  Wiiodliani. 
1970.    Monitoring    pesticides    in    soils    from    areas    of 


legtilar.  limited  and  no  pesticide  tisc.  Peslic.  Monil.  J. 
4|.M:14.'^-166. 

(7)  IKS.  Department  of  A.i;ricalinre.  1969.  Monitoring 
agriciilttiral  pesticide  residties  I96.'5-1967.  A  final  re- 
port on  soil,  water,  crops,  sediment  and  wildlife  in  six 
study  areas.    Agric.  Res.  .Serv.  Report  81 -.12. 

(.V)  U.S.  Environmental  l'rotecti<ni  Af;eney.  1973.  PM 
Meniorttndiim  No.  .1.  Sample  Collection  Manual. 
Guidelines  for  collecting  field  samples:  soil,  crops, 
water,  sediment.  71   pages. 

(V)  Wiersma.  (!.  li..  /'.  /■.  Sand,  and  E.  L.  Co.\.  1971.  A 
siimpling  design  to  determine  pesticide  residue  levels 
in  soils  of  the  conterminous  LInilcd  Skiles.  Peslic. 
Monil.  J.  5(  I  ):63-66. 

(10)  Wiersma.  C, .  li.,  P.  /■'.  Sand,  and  li.  I..  Selnit:m<iiin. 
1971.  National  Soils  Monitoring  Program — si,\  slates, 
1967.  Peslic.  Monil.  J.  .">(  2  )  :22.1-2:7. 

(//I  Wiersma.  C  H  ,  II.  lai.  and  P.  E.  Sand.  1972.  Pesti- 
cide residue  levels  in  soils.  FY-1969 — Naliontil  Soils 
Moniloiing  Program.   Peslic.   Monil.  J.  6(  .1 ) :  194-22X. 


136 


PESTIC  IDE  MONITOKING  JOURNAL 


Pesticide  Application  and  Cropping  Data  from  37  States,  1971 — 
National  Soils  Monitoring  Program 

Ann  E.  Carey.'  Jeanne  A.  Gowen,-  and  G.  Bruce  Wiersma  '^ 


ABSTRACT 

This  report  summarizes  pesticide  application  and  cropping 
data  collected  in  1971  from  l,47S  agricultural  sampling 
sites  in  37  states  as  pari  of  the  National  Soils  Monitoring 
Program.  Pesticide  application  data  arc  summarized  by  all 
sites,  state,  and  crop.  Tables  generally  give  the  number  of 
reporting  sites,  the  number  of  times  a  compound  was  ap- 
plied, the  percent  occurrence,  and  the  arithmetic  mean  total 
application  rate. 

Pesticides  applied  most  frequently  to  sampling  sites  were 
atrazine.  2,4-D,  caplan,  and  malatliion.  Pesticides  were 
most  frequently  applied  to  field  corn  and  cotton,  least  fre- 
quently to  alfalfu/hur  clover  and  mixed  hay. 

Introduction 

In  1963,  the  report  of  the  President's  Science  Advisory 
Committee  recommended  that  appropriate  federal  agen- 
cies "develop  a  continuing  network  to  monitor  residue 
levels  in  air,  water,  soil,  man,  wildlife  and  fish"  (7). 
As  a  result  of  this  recommendation,  the  National  Pesti- 
cide Monitoring  Program  (NPMP)  was  established  to 
determine  levels  and  trends  of  pesticides  and  their  degra- 
dation products  in  the  environment  (3).  Federal  re- 
sponsibility for  monitoring  pesticides  was  officially  man- 
dated in  Section  20  of  the  amended  Federal  Insecticide, 
Fungicide  and  Rodenticide  Act  of  1972  (PL  92-516). 

The  National  Soils  Monitoring  Program  is  an  integral 
part  of  the  NPMP,  monitoring  agricultural  soils  and 
raw  agricultural  crops.  It  was  initiated  in  1968  by  the 
U.S.  Department  of  Agriculture  and  is  administered  by 
the  U.S.  Environmental  Protection  Agency.  The  present 
report  summarizes  pesticide  application  and  cropping 
data  collected  in  1971  from  1,473  sampling  sites  in  37 
states.  Composite  soil  and  crop  samples  were  also  col- 
lected from  these  sites  for  pesticide  residue  analyses,  the 
results  of  which  are  published  separately   (2). 


'Ecological    Monitiiriny    Branch.    Benefits   and    Field    Studies    Division. 

Office  of  Pesticide  Prii^rams.   U.S.   Environmental   Protection  A^icncy. 

TS-768.  Washinsiton.  DC  2II46I1. 
-Extension  Ayent.  Colorado  State  Extension  Service.  Golden.  CO. 
■'Chief.    Pollutant     Pathways    Branch.    Environmental    Monitoring    and 

Support     Laboratory.     U.S.     Environmental     Protection     Ayency,     Las 

Vegas,  NV. 


Sampling 

The  site  selection  criteria  and  statistical  design  of  the 
National  Soils  Monitoring  Program  have  been  de- 
scribed (4).  In  1971,  1,533  sites  in  37  states  were 
scheduled  for  sampling  (Fig.  1).  At  each  4-hectare 
(lO-acre)  site,  landowners  or  operators  supplied  infor- 
mation on  the  crops  grown  and  the  kinds  and  amounts 
of  pesticides  applied  during  1971. 

Results  and  Discussion 

COMPOUNDS  APPLIED  TO  CROPLAND 

Pesticide  use  data  were  received  from  1 ,473  or  96  per- 
cent of  the  scheduled  1,533  sites.  Of  these,  784  or  53 
percent  of  the  sites  had  one  or  more  pesticides  applied 
during  1972.  Tables  summarizing  the  application  data 
show  the  number  and  percent  of  sites  with  reported 
pesticide  application  and  the  average  rate  of  total  pesti- 
cide application  for  each  site,  expressed  both  in  pounds 
per  acre  and  kilograms  per  hectare. 

Table  1  gives  the  frequency  of  pesticide  use  on  sample 
sites  in  various  states  and  state  groups.  Because  some 
of  the  smaller  eastern  states  had  very  few  sites,  those 
with  similar  geographic  location  and/or  agricultural 
characteristics  were  combined  to  obtain  more  represen- 
tative data.  Slates  were  grouped  as  follows:  Mid-At- 
lantic: Delaware,  Maryland,  New  Jersey;  New  England: 
Connecticut,  Maine,  Massachusetts,  New  Hampshire, 
Rhode  Island,  Vermont;  and  Virginia  and  West  Virginia. 
Among  the  individual  states  and  state  groups,  frequency 
of  pesticide  use  ranged  from  23  percent  in  Pennsylvania 
to  77  percent  in  Mississippi. 

ALL  SITES 

Applications  of  132  compounds  were  recorded  for  all 
reporting  sites.  The  compounds  included  50  herbicides, 
including  defoliants,  48  insecticides  and/or  acaricides, 
28  fungicides,  4  nematocides,  I  soil  fumigant,  and  1 
growth  retardant  (Table  2).  The  most  frequently  ap- 
plied compounds  were  atrazine,  2,4-D.  captan,  and 
malathion.  which  were  reported  from  14,  10,  9,  and  8 
percent  of  the  reporting  sites,  respectively. 


Vol.  12,  No.  3,  December  1978 


137 


26-591 


FIGURE   1.     Slates  scheduled  for  sampling,  1971,  National  Soils  Monitoring  Program 


TABLE   I.     Occurrence  of  pesticide  applications   by 
1971 — National  Soils  Monitoring  Program 


state, 


State 

Total 

Pesticides 

OR 

No.  OF 
Sites 

Pesticides 

Applied 

Not 

Applied 

State 

No.  OF 

No.  OF 

Group^ 

Reporting 

Sites 

Tv 

Sites 

% 

Alabama 

22 

9 

41 

13 

59 

Arkansas 

45 

24 

53 

21 

47 

California 

61 

29 

48 

32 

52 

Florida 

18 

8 

44 

10 

56 

Georgia 

29 

19 

66 

10 

34 

Idaho 

33 

11 

33 

22 

67 

Illinois 

142 

100 

70 

42 

30 

Indiana 

74 

50 

68 

24 

32 

Iowa 

152 

103 

68 

49 

32 

Kentucky 

28 

11 

39 

17 

61 

Louisiana 

25 

17 

68 

8 

32 

Michigan 

54 

25 

46 

29 

54 

Mid-Ailantic 

16 

7 

44 

9 

56 

Mississippi 

31 

24 

77 

7 

23 

Missouri 

79 

37 

46 

42 

54 

Nebraska 

106 

65 

61 

41 

39 

New  England 

21 

6 

29 

15 

71 

New  York 

36 

17 

47 

19 

53 

N.  Carolina 

30 

18 

60 

12 

40 

Ohio 

57 

31 

54 

26 

46 

Oklahoma 

60 

22 

37 

38 

63 

Oregon 

37 

13 

35 

24 

65 

Pennsylvania 

35 

S 

23 

27 

77 

S.  Carolina 

15 

8 

53 

7 

47 

S.  Dakoia 

106 

51 

48 

55 

52 

Tennessee 

24 

11 

46 

13 

54 

Virginia  and 

W.Virginia 

25 

8 

32 

17 

68 

Washington 

state 

45 

22 

49 

23 

51 

Wisconsin 

67 

30 

45 

37 

55 

Total 

1473 

784 

53 

689 

47 

'Some  smaller  eastern  stales  which  had  few  sites  but  similar  geographic 
locations  and /or  agricultural  characteristics  were  combined  to  obtain 
more  represenlalive  dala.  including:  Mid-Allanlic  Mates:  Oelawarc. 
Maryland.  New  Jersey;  New  Hngland  stales:  Connecticut.  Mamc. 
Massachusetts,  New  Hampshire.  Rhode  Island.  Vermont;  and  Virginia 
and  West  Virginia. 


BY  STATE 

Table  3  presents  the  application  data  by  state  or  state 
grouping.  Because  of  the  number  of  states  sampled,  it 
is  not  feasible  to  discuss  in  detail  the  pesticide  data 
from  each  state.  However,  the  pesticide  application  in- 
formation from  each  state  reflects  both  the  crops  grown 
and  the  intensity  of  agricultural  land  use  in  the  state. 

In  Figure  2,  the  frequency  of  reported  pesticide  appli- 
cations in  each  state  is  designated  as  follows:  low,  states 
where  less  than  25  percent  of  the  sites  reported  pesticide 
applications;  medium,  states  where  25-59  percent  of 
the  sites  reported  applications:  and,  high,  where  over 
60  percent  of  the  sites  in  a  state  reported  pesticide  appli- 
cations. 

BY  CROP 

Table  4  lists  crops  grown  on  sample  sites  in  1972  as  well 
as  the  pesticide  application  status  for  each  crop.  Appli- 
cation data  for  selected  major  crops  are  presented  in 
Table  5.   Pesticide  use  varied  widely  among  these  crops. 


Table  6  shows  the  pesticide  applications   in    1971 
selected  major  crops,  by  state. 


for 


Acknowledgment 

It  is  not  possible  to  list  by  name  all  the  persons  who 
contributed  to  this  study.  However,  the  authors  are 
especially  grateful  to  the  inspectors  from  the  Plant  Pro- 
tection and  Quaranline  Programs,  Animal  and  Plant 
Health  Inspection  Service.  U.,S.  Department  of  Agri- 
culture, who  collected  the  data. 


138 


Pesticides  Monitoring  Journal 


TABLE  2.    Compounds  applied  to  1.473  cropland  sites,  1971— National  Soils  Monitoring  Program 


Average  Total 

Trade 

Pesticides  Applied 

Application 

Trade 

Pesticides  Applied 

Average  Total 
Application 

Compound 

Name, 
If  Noted 

No.  OF 
Sites 

%  OF 

Sites 

LB./ 

Acre 

KG/ 

Hectare 

Compound 

Name, 
If  Noted 

No.  OF 
Sites 

%  OF 

Sites 

LB./ 

Acre 

KG/ 

Hectare 

Alachlor                   Lasso 

Aldrin 

Arsenic  pentoxide 

Atrazine                   AAtrex 

65 

45 

2 

214 

4.4 

3.0 

0.1 

14.1 

1.58 
1.15 
0.50 
1.78 

1.77 
1.29 
0.56 
1.99 

Isodrin 
Lead  arsenate 
Lindane 

0.1 
0.2 
0.1 

0.01 
7.07 
0.02 

0.01 
7.91 
0.02 

Azinphosmethy! 

Guthion 

6 

0.4 

0.60 

0.67 

Linuron 

Lorox 

23 

1.6 

0.89 

1.00 

Bacillus 

Londax 

0.1 

0.50 

0.56 

thuringiensis 

B.T. 

1 

0.1 

0.11 

0.12 

Malathion 

111 

7.5 

0.16 

0.18 

Barban 

Carbyne 

1 

0.1 

0.25 

0.28 

Maleic  hydrazide 

:     MH 

0.2 

3.00 

3.36 

Benefin 

Balan 

3 

0.2 

1.11 

1.24 

Mancozeb 

Dilhane  M-45      2 

0.1 

12.40 

13.89 

BHC 

3 

0.2 

0.02 

0.02 

Maneb 

3 

0.2 

2.34 

2.62 

Bordeaux  mixture 

1 

0.1 

1.25 

1.40 

MCPA 

MCP 

5 

0.3 

0.70 

0.78 

Bromacil 

Hyvar 

3 

0.2 

0.62 

0.70 

Mercury 

2 

0.1 

0.06 

0.06 

Butylate 

Sutan 

18 

1.2 

1.74 

1.95 

Metham 

Vapam 

1 

0.1 

2.16 

2.42 

Bux 

17 

1.1 

1.26 

1.41 

Methomyl 

Lannate 

1 

0.1 

1.13 

1.27 

Captafol 

Difolatan 

1 

0.1 

1.50 

1.68 

Methoxychlor 

24 

1.6 

0.17 

0.19 

Captan 

138 

9.3 

0.11 

0.12 

Methylmercury 

Carbaryl 

Sevin 

18 

1.2 

2.12 

2.37 

acetate 

Ceresan  L 

6 

0.4 

0.01 

0.01 

Carbophenothion 

Trithion 

1 

0.1 

3.20 

3.58 

Methylmercury 

Carbofuran 

Furadan 

20 

1.3 

1.01 

1.13 

dicyandiamide 

Panogen 

18 

1.2 

0.08 

0.09 

Chevron  RE-5353 

1 

4 

0.3 

0.85 

0.95 

Methyl  trithion 

1 

0.1 

3,00 

3.36 

Chloramben 

Amiben 

41 

2.8 

1.39 

1.56 

Mevinphos 

Phosdrin 

2 

0.1 

0.75 

0.84 

Chlordane 

1 

0.1 

2.50 

2.80 

Mirex 

6 

0.4 

0.07 

0.08 

Chlorobenzilate 

Acaraben 

2 

0.1 

1.38 

1.55 

Monocrotophos 

Azodrin 

4 

0.3 

0.33 

0.36 

Chloroneb 

Demosan 

9 

0.6 

0.02 

0.02 

Monuron 

Telvar 

2 

0.1 

1.30 

1.46 

Chloropropham 

Chloro-lPC 

1 

0.1 

2.50 

2.80 

MSMA 

17 

1.1 

1.77 

1.99 

Chlorothalonil 

Bravo 

1 

0.1 

3.00 

3.36 

Nabam 

1 

0.1 

5.00 

5.60 

Copper  carbonate 

Naptalam 

Alanap 

4 

0.3 

1.94 

2.17 

(basic) 

1 

0.1 

3.90 

4.37 

Nitralin 

Planavin 

5 

0.3 

1.05 

1.18 

Copper  hydroxide 

1 

0.1 

1.08 

1.21 

Oil  Spray 
Ovex 

2 

0.1 

60.00 

67.20 

Copper  oxide 

1 

0.1 

1.70 

1.90 

1 

0.1 

0.50 

0.56 

Copper  sulfate 

3 

0.2 

13.97 

15.65 

Oxydemeton- 

Cypromid 

Clobber 

1 

0.1 

0.75 

0.84 

melhyl 

Metasystox- 

R      2 

0.1 

0.50 

0.56 

2.4-D 

Decamine 

145 

9.8 

0.87 

0.97 

Paraquat 

4 

0.3 

0.86 

0.97 

Dalapon 
2,4-DB 

Dowpon 
Butyrac 

4 

7 

0.3 
0.5 

2.60 
0.64 

2.91 

0.72 

Parathion,  ethyl 
Parathion,  methyl 
PCNB 
Pebulate 
Penlachloro- 

phenol 
Phenylmercury 

21 
48 

1.4 
3.2 

3.32 
2.81 

3.72 
3.15 

DCPA 

DDT 

DEF 

Demeton 
Diallate 

Dacthal 

Systox 
Avadex 

1 
33 
9 
2 
1 

0.1 

2.2 
0.6 
0.1 
0.1 

3.75 
3.83 
1.03 
1.56 
0.12 

4.20 
4.29 
1.16 
1.75 
0.13 

Tillam 
PCP 

2 
1 

2 

0.1 
0.1 

0.1 

3.51 
0.12 

3.02 

3.93 
0.13 

3.38 

Diazinon 

15 

1.0 

0.75 

0.84 

actate 

PMA 

2 

0.1 

0.01 

0.01 

Dicamba 

Banvel  D 

12 

0.8 

0.31 

0.34 

Phenylmercury 

Dichlofenthion 

Nemacide 

1 

0.1 

6.00 

6.72 

urea 

3 

0.2 

0.01 

0.01 

Dichloropropene 

Dichlorprop 

Dicofol 

Telone 
2,4-DP 
Kelthane 

3 
1 
1 

0.2 
0.1 
0.1 

28.00 
3.00 
1.00 

31.36 

3.36 
1.12 

Phorate 

Phosalone 

Phosphamidon 

Thimet 
Zolone 
Dimecron 

21 

1 
2 

1.4 
0.1 
O.I 

1.71 
4.00 
0.27 

1.91 
4.48 
0.30 

Dieldrin 
Dinitrocresol 

6 
3 

0.4 
0.2 

0.09 
1.64 

0.10 
1.84 

Prolate 
Prometryn 

Imidan 
Caparol 

2 
1 

0.1 
0.1 

11.60 
1.08 

13.00 
1.21 

Diphenamid 

Enide 

1 

0.1 

0.25 

0.28 

Propachlor 

Ramrod 

44 

3.0 

1.64 

1.83 

Disulfoton 

Di-Syston 

24 

1.6 

1.21 

1.35 

Propanil 

Stam 

6 

0.4 

3.46 

3.87 

Diuron 

Karmex 

9 

0.6 

1.56 

1.75 

Propargite 

Omite 

2 

0.1 

2.58 

2.88 

DNBP 

Premerge 

16 

1.1 

1.35 

1.51 

Pyrazon 

Pyramin 

1 

0.1 

1.25 

1.40 

Dodine 

2 

0.1 

0.83 

0.93 

Silvex 

3 

0.2 

0.42 

0.47 

DSMA 

11 

0.7 

2.00 

2.24 

Simazine 

Princep 

9 

0.6 

4.00 

4.48 

Dyfonate 

1 

0.1 

0.90 

1.00 

Sodium  chlorate 

5 

0.3 

1.74 

1.95 

EMTS 

Ceresan  M 

9 

0.6 

0.06 

0.06 

Solan 

1 

O.I 

1.00 

1.12 

Endosulfan 

Thiodan 

8 

0.5 

1.44 

1.61 

Sulfur 

12 

0.8 

34.27 

38.38 

Endrin 

3 

0.2 

2.20 

2.46 

2,4,5-T 

2 

0.1 

0.30 

0.34 

EPTC 

Eptam 

10 

0.7 

2.09 

2.34 

TCA 

2 

0.1 

2.50 

2.80 

Ethoprop 

Mocap 

1 

0.1 

1.00 

1.12 

TEPP 

1 

0.1 

4.00 

4.48 

Ethylmercury 

Terbacil 

Sinbar 

1 

0.1 

1.40 

1.56 

chloride 

Ceresan  Red 

8 

0.5 

0.03 

0.03 

Fensulfothion 

Dasanit 

5 

0.3 

1.15 

1.28 

Terbutryn 

Igran 

I 

0.1 

1.75 

1.96 

Fentin  hydroxide 

1 

0.1 

2.25 

2.52 

Terrazole 

1 

0.1 

0.15 

0.16 

Ferbam 

2 

0.1 

2,59 

2.90 

Tetradifon 

TedionV-18 

1 

0.1 

0.75 

0.84 

Fluometuron 

Cotoran 

22 

1.5 

0.95 

1.06 

Thiram 

13 

0.9 

0.01 

0.01 

Folex 

5 

0.3 

1.05 

1.18 

Toxaphene 

33 

2.2 

7.00 

7.84 

Folpet 

Phaltan 

1 

0.1 

1.00 

1.12 

Trichlorfon 

Dylox 

2 

0.1 

0.88 

0.98 

Furethrin 

1 

0.1 

8.00 

8.97 

Trietazine 

1 

0.1 

0.70 

0.78 

Heptachlor 

8 

0.5 

1.27 

1.42 

Trifluralin 

Treflan 

64 

4.3 

0.95 

1.06 

Hexachloro- 

Vernolate 

Vernam 

2 

0.1 

2.25 

2.52 

benzene 

HCB 

7 

0.5 

0.01 

0.01 

Zineb 

1 

0.1 

7.50 

8.40 

Vol.  12,  No.  3,  December  1978 


139 


TABLE   3.    Coinpoittuh  applied  to  cropland  sites  by  state,  197 1 — National  Soils  Monitoring  Program 


Average  Total 

Average  Total 

Trade 
Name. 

Pesticides  Applied 
No.  OF         %  OF 

Application 

Trade         _ 
Name. 

ESTiciDES  Applied 

Application 

LB./ 

KG/ 

No.  of 

Tc  OF 

lb./ 

KG/ 

Compound 

If  Noted 

Sites 

Sites 

Acre 

Hectare 

Compound 

If  Noted 

Sites 

Sites 

Acre 

Hectare 

ALABAMA.  22 

SITES 

Propargite 

Omite 

1.6 

0.15 

0.16 

Simazine 
Sodium  chlorate 

Princep 

4.9 
1.6 

8.00 
5.00 

8.96 

Atrazine 

AAtrex 

13.6 

2.67 

2.98 

5.60 

Benefin 

Balan 

4.5 

0.75 

0.84 

Sulfur 

8.1 

15.34 

17.19 

Buiylate 

Sutan 

9.0 

0.25 

0.28 

Tetradifon 

Tedion  V-18 

1.6 

0.75 

0.84 

DDT 

13.6 

3.67 

4.10 

Toxaphene 

1.6 

0.40 

0.44 

Disulfoton 

Di-Syston 

4.5 

7.00 

7.84 

Trichlorfon 

Dylox 

3.2 

0.88 

0.98 

Dluron 

Karmex 

4.5 

0.34 

0.38 

Trifluralin 

Treflan 

2 

3.2 

0.20 

0.22 

DSMA 

4.5 

1.50 

1.68 

EMTS 

Ceresan  M 

4.5 

0.01 

0.01 
1.56 
1.02 

2.24 
1.56 
2.50 
7.84 

FLORIDA,   18 

SITES 

Endrin 
Fluomeiuron 
MSMA 

Parathion.  ethyl 
Parathion,  methyl 
PCNB 
Toxaphene 
Trifluralin 

Cotoran 

4.5 
13.6 

4.5 

4.5 
13.6 

4.5 

1.40 
0.92 
2.00 
1.40 
2.23 
7.00 

Atrazine 
Carbaryl 
Carbofuran 
Chlorobenzilate 
Copper  carbonate 

AAtrex 
Sevin 
Furadan 
Acarabcn 

11.1 
5.5 
5.5 

11. 1 

2.75 
5.00 
4.00 
1.38 

3.08 
5.60 
4.48 
1.54 

Treflan 

13.6 
4.5 

4.55 
0.50 

5.09 
0.56 

(basic) 
2.4-D 
Dalapon 
Endrin 

Dowpon 

5.5 
16.6 

5.5 
5.5 

3.90 
5.33 
1.50 
1.00 

4,37 
5.97 
1.68 

ARKANSAS.  45 

SITES 

1.12 

EPTC 

Malathion 

Eptam 

5.5 

5.5 

0.20 
3.17 

0.22 

Aldrin 

1 

2.2 

0.75 

0.84 

3.55 

Atrazine 

AAtrex 

1 

2  2 

0.75 

0.84 

Maneb 

5.5 

0.08 

0.08 

Captan 

1 

2^2 

0.01 

0.01 

Oil  Spray 

5.5 

70.00 

78.45 

Chloroneb 

Demosan 

-» 

4.4 

0.01 

0.01 

Sulfur 

16.6 

78.67 

88.16 

2,4-D 

1 

2.2 

0.50 

0.56 

Zineb 

5.5 

7.50 

8.40 

:.4-DB 
DDT 

1 

2.2 

1.50 

1.68 

.1 

6.6 

0.57 

0.63 

GEORGIA,  30 

SITES 

Disulfoton 

DNBP 

DSMA 

EMTS 

Fluometuron 

Linuron 

Di-Syston 
Premerge 

Ceresan  M 

Cotoran 

Lorox 

1 

5 

3 
5 
2 

2.2 
11.1 

4.4 

6.6 
11.1 

4.4 

0.25 
0.94 
1.20 
0.15 
0.84 
0.50 

0.28 
1.05 
1.34 
0.16 
0.92 
0.56 

Benefin 

Butylate 
Captan 
Carbaryl 
Chlorothalonil 
Copper  oxide 

Balan 
Sutan 

Sevin 
Bravo 

3.3 

3.3 

16.6 

6.6 

3.3 
3.3 

1.50 
0.75 
0.02 
2.56 
3.00 
1.70 

1.68 
0.84 
0.02 
2.86 
3.36 
1.90 

Methylmercury 

dicyandiamide 
Monuron 
MSMA 
Nitralin 

Panogen 
Telvar 

Planavin 

3 
1 
5 
3 

6.6 

-}  2 
11.1 
6.6 

0.25 
1.00 
1.20 
1.17 

0.28 
1. 12 
1.34 
1.30 

Copper  sulfate 
2,4-D 
DDT 
DNBP 

3.3 
6.6 
16.6 
6.6 

30.00 
0.75 
2.61 
1.50 

33.62 
0.84 
2.93 
1.68 

Parathion,  ethyl 
Parathion,  methyl 
Propanil 
Solan 

Stam 

1 
5 
2 
1 
1 

2  2 
11.1 
4.4 

2.2 
2.2 

7.00 
2.00 
5.50 
1.00 
0.01 

7.84 
2.24 
6.16 
1.12 
0.01 

Ethylmercury 

chloride 
Folex 
Malathion 
Maleic  hydrazide 

Ceresan  Red 

6.6 
3.3 
6.6 
3.3 

O.OI 
1.50 
O.OI 
3.00 

0.01 
1.68 
0.01 
3.36 

Toxaphene 
Trifluralin 

Treflan 

3 
9 

6.6 

20.0 

1.00 
1.11 

1.12 
1.24 

Methoxychlor 
Methyl  trithion 
Mirex 
Parathion,  ethyl 

6.6 

3.3 
6.6 

10.0 

0.02 
3.00 
0.04 

7.88 

0.02 
3.36 
0.04 

CALIFORNIA.  6 

SITES 

9.52 

Parathion,  methyl 
Sulfur 

16.6 
6.6 

3.45 
25.00 

3.86 

Aldrin 

I 

1.6 

0.01 

0.01 

28.02 

Azodrin 

1 

1.6 

0.50 

0.56 

Thiram 

10.0 

0.01 

0.01 

Bacillus 

Toxaphene 

13.3 

4.00 

4.48 

thurinyiensis 

1 

1.6 

0.11 

0.12 

Trifluralin 

Treflan 

16.6 

0.39 

0.44 

Captan 
2.4-D 

1 

1.6 

3.2 

0.01 
0.31 

O.OI 
0.34 

Vernolate 

Vernam 

3.3 

2.50 

2.80 

2 

DCPA 

Dacthal 

1 
2 

1.6 

3.2 

3.75 
0.08 

4.20 
0.08 

IDAHO.  33  SITES 

Diazinon 

Captan 

1 

3.0 

0.08 

0.08 

Dicofol 

Kelthane 

1 

1.6 

1. 00 

1.12 

2,4-D 

3 

9.0 

0.67 

0.75 

Diphenamid 

Enide 

1 

1.6 

0.25 

0.28 

DDT 

2 

6.0 

3.25 

3.64 

Diuron 

Karmex 

1 

1.6 

2.40 

2.68 

Diallale 

Avadex 

1 

3.0 

0.12 

0.13 

EPTC 
Ethylmercury 

Eptam 

1 

1.6 

3.00 

3.36 

Ethylmercury 
chloride 

Ceresan  Red 

2 

6.0 

0.10 

O.ll 

chloride 

Ceresan  Red        1 

1.6 

0.0 1 

0.01 

Malathion 

I 

3.0 

1.00 

1.12 

Malaihion 

4 

6.5 

1.71 

1.91 

PCP 

1 

3.0 

0.03 

0.03 

MCPA 

MCP 

2 

3.2 

1.25 

1.40 

Trifluralin 

Treflan 

3.0 

1. 00 

1.12 

Mercury 

I  annate 
Phosdrin 

2 

3.2 
1.6 
1.6 

0.06 
1.13 
1.00 

0.06 
1.26 

Melhomyl 
Mevinphos 

ILLINOIS,  142 

SITES 

1.12 

Oil  Spray 

1.6 

50.00 

56.04 

Alachlor 

Lasso 

15 

10.5 

1,93 

2.16 

Ovex 

1.6 

0.50 

0.56 

Aldrin 
Atrazine 

AAtrex 

13 

22 

9.1 
15.4 

1.15 
1.74 

1.29 
1.95 

Oxydemcton- 

Butylate 

Sutan 

3 

2  1 

1.47 

1.64 

methyl 

Metasyslox 

R      I 

1.6 

U.50 

0.56 

Bux 

2 

1.4 

1.40 

1.56 

Paraquat 

3.2 

0.22 

0.25 

Captan 

59 

41.5 

0.01 

O.OI 

Parathion.  ethyl 

6.5 

2.08 

2.32 

Carbofuran 

Furadan 

2 

1.4 

0.33 

0.36 

Parathion,  methyl 

3.2 

1.38 

1  54 

Chloramben 

Amihcn 

IS 

12.6 

1.47 

1.64 

PCNB 

1.6 

0.01 

O.OI 

2,4-D 

6 

4.2 

l.ll 

1.24 

Pcbulatc 

Tillam 

1.6 

0.12 

0.13 

Demeton 

.Syslox 

1 

0.7 

0.12 

0.13 

Phenylmcrcury 

Fensulfothion 

Dasanit 

1 

0.7 

0.90 

1.00 

acelale 

PMA 

I 

1.6 

0.0 1 

O.OI 

Ferbam 

1 

0.7 

2.00 

2.24 

{Continued  next  page) 
140 


Pesticides  Monitoring  Journal 


TABLE  3   (cont'd. ) .    Compounds  applied  to  cropland  sites  by  state,  1971 — National  Soils  Monitoring  Program 


Average  Total 

AVERAG 

E  Total 

Trade 

Name. 

Pesticides  Applied 

Application 

Trade 
Name, 

Pesticides  Applied 

No.  OF           %  OF 

Application 

Compound 

No.  OF 

%  OF 

LB./ 

KG/ 

LB./ 

KG/ 

If  Noted 

Sites 

Sites 

Acre 

Hectare 

Compound 
DDT 

If  Noted 

Sites 

Sites 
20.0 

Acre 
6.62 

Hectare 

Heplachlor 

4 

2.8 

1.75 

1.96 

7.41 

Linuron 

Lorox 

6 

4.2 

0.89 

0.99 

DEF 

4.0 

1.12 

1.25 

Malathion 

52 

36.6 

0.01 

0.01 

Diuron 

Karmex 

4,0 

0.70 

0.78 

Methoxychlor 

15 

10.5 

0.01 

0.01 

DSMA 

20.0 

2.24 

2.51 

MSMA 

1 

0.7 

0.25 

0.28 

EMTS 

Ceresan  M 

4.0 

0.01 

0.01 

Paraquat 

I 

0.7 

2.00 

2.24 

Fluometuron 

Cotoran 

24.0 

0.99 

1.11 

PCP 

1 

0.7 

6.00 

6.72 

Linuron 

Lorox 

4.0 

0.50 

0.56 

Phorate 

Thimet 

7 

4.9 

0.62 

0.69 

Methylmercury 

Propachlor 

Ramrod 

18 

12.6 

1.22 

1.36 

dicyandiamide 

Panogen 

12.0 

0.08 

0.08 

Simazine 

Princep 

I 

0.7 

2.00 

2.24 

Monocrotophos 

Azodrin 

12.0 

0.27 

0.29 

Trifluralin 

Treflan 

8 

5.6 

1.20 

1.34 

Monuron 

4.0 

1.60 

1.79 

2,4,5-T 

1 

0.7 

0.25 

0.28 

MSMA 

Nitralin 

8.0 

1.46 

1.63 

Planavin 

4.0 

0.75 

0.84 

INDIANA.  76  SITES 

Paralhion.  methyl 
Promelryn 

Caparol 

28.0 
8.0 

3.56 
1.08 

3.99 

Alachlor 

Lasso 

9 

11.8 

1.56 

1.74 

1.21 

Aldrin 

9 

11.8 

1.35 

1.51 

Propanil 

Stam 

16.0 

2.44 

2.73 

Atrazine 

AAtrex 

20 

26.3 

1.92 

2,15 

Silvex 

4.0 

0.50 

0.56 

Azinphosmethyl 

Guthion 

1.3 

0.22 

0.24 

Sodium  chlorate 

4.0 

0.05 

0.05 

Butylale 

Sutan 

1.3 

1.00 

1.12 

TCA 

4.0 

4.00 

4.48 

Chloramben 

Amiben 

9.2 

1.44 

1.61 

Toxaphene 

6 

24.0 

13.45 

15.07 

Captan 

Sevin 

1.3 
1.3 

0.01 
0.61 

0.01 
0.68 

Trifluralin 

Treflan 

2 

8.0 

0.63 

0.70 

Carbaryl 

Chlordane 

1.3 
1.3 

2.50 
1.08 

2.80 
1.21 

MICHIGAN,  54 

SITES 

Copper  hydroxide 

Aldrin 

1.8 

2.00 

2.24 

Copper  sulfate 

1.3 

1.42 

1.59 

Atrazine 

AAtrex 

14 

25 

9 

2.00 

2.24 

2,4-D 

5.2 

0.63 

0.70 

Captan 

1 

g 

5.00 

5.60 

Diazinon 

1.3 

0.40 

0.44 

Carbaryl 

1 

8 

1. 00 

1.12 

DNBP 

Premerge 

1.3 

2.25 

2.52 

2.4-D 

1 

8 

1.00 

1.12 

Endosulfan 

1.3 

0.54 

0.60 

Demeton 

1 

8 

3.00 

3.36 

EPTC 

Eptam 

1.3 

2.00 

2.24 

Endosulfan 

1 

8 

6.00 

6.72 

Linuron 

Lorox 

2.6 

0.55 

0.61 

EPTC 

Epiam 

5 

5 

1.67 

1.86 

Maneb 

1.3 

2.14 

2.39 

Fentin  hydroxide 

I 

8 

2.25 

2.52 

Propachlor 

Ramrod 

2.6 

1.20 

1.34 

Isodrin 

1 

8 

0.01 

0.01 

Silvex 

1.3 

0.25 

0.28 

Lead  arsenate 

1 

8 

16.00 

17.93 

Simazine 

Princep 

3.9 

2.00 

2.24 

Mancozeb 

Dithane  M-45      1 

1 

8 

12.00 

13.44 

Trifluralin 

Treflan 

6.5 

2.37 

2.66 

Parathion.  ethyl 

-> 

3 

7 

3.50 

3.92 

2,4.5-T 

1.3 

0.35 

0.39 

Phosalone 
Prolate 

Imidan 

1 

1 

3 

8 

7 

4.00 
11.60 

4.48 
13.00 

IOWA,   152 

SITES 

Pyrazon 
Silvex 
TCA 
TEPP 

Pyramin 

1 
1 
1 

1 

1 

1 
1 

8 
8 
8 
8 

1.25 
0.50 
1.00 
4.00 

1.40 

Alachlor 

Aldrin 

Atrazine 

Lasso 

AAtrex 
Sutan 

15 

10 

39 

7 

9.8 

6.5 

25.6 

4.6 

0.93 
0.83 
1.39 
2.46 

1.04 
0.93 
1.56 

2.75 

0.56 
1.12 
4.48 

Butylale 

MID-ATLANTIC,i 

16  SITES 

Bux 

5 

3.9 

0.82 

0.92 

Captan 

1 

0.6 

0.01 

0.0 1 

Alachlor 

Lasso 

1 

6.2 

2.00 

2.24 

Carbaryl 

Sevin 

1 

0.6 

1.60 

1.79 

Atrazine 

AAtrex 

4 

25.0 

0.94 

1.05 

Carbofuran 

Furadan 

7 

4.6 

0.92 

1.03 

Butylate 

Sutan 

2 

12.5 

1.63 

1.82 

Chloramben 

Amiben 

12 

7.8 

1.10 

1.23 

Captan 

2 

12.5 

0.0 1 

0.01 

2.4-D 

19 

12.5 

0.54 

0.61 

Carbofuran 

Furadan 

1 

6.2 

1. 00 

1.12 

DDT 

2 

1.3 

1.00 

1.12 

2.4-D 

1 

6.2 

0.50 

0.56 

Diazinon 

6 

3.9 

0.54 

0.61 

Diazinon 

I 

6.2 

0.80 

0.89 

Dicamba 

Banvel  D 

3 

1.9 

0.75 

0.84 

Malathion 

2 

12.5 

0.01 

0.01 

2.24 
53.79 

DNBP 

Dyfonate 

Premerge 
Mocap 

-> 
1 
1 
1 

1.3 
0.6 
0.6 
0.6 

0.44 
0.90 
1.00 
1.02 

0.49 
1.00 
1.12 
1.14 

Paralhion,  ethyl 
Sulfur 

1 

I 

6.2 
6.2 

2.00 
48.00 

Ethoprop 

Fensulfothion 

Lindane 

MISSISSIPPI,  31 

SITES 

1 

0.6 

0.02 

0.02 

Alachlor 

Lasso 

1 

3.2 

0.75 

0.84 

Linuron 

Lorox 

3 

1.9 

1.00 

1.12 

Captan 

1 

3.2 

0.03 

0.03 

Phorate 

Thimet 

6 

3.9 

0.93 

1.04 

Chloroneb 

Demosan 

7 

22.5 

0.03 

0.03 

Propachlor 

Ramrod 

14 

8.5 

1.50 

1.68 

DDT 

8 

25.8 

3.81 

4.27 

Toxaphene 

1 

0.6 

2.73 

3.05 

DEF 

4 

12.9 

0.90 

1.00 

Trifluralin 

Treflan 

14 

9.2 

0.69 

0.77 

Disulfoton 

Di-Syston 

7 

22.5 

0.01 

0.01 

Diuron 
DNBP 

Karmex 

-) 

6.4 

2.75 

3.08 

KENTUCKY. 

31   SITES 

4 

12.9 

1.19 

1.33 

DSMA 

I 

3.2 

1.86 

2.08 

Atrazine 

AAtrex 

2 

6.4 

1.02 

1.14 

Endrin 

1 

3.2 

4.20 

4.70 

Dalapon 

Dowpon 

-> 

6.4 

1.05 

1.17 

Ethylmercury 

2.4-D 

1 

3.2 

0.05 

0.05 

chloride 

Ceresan  Red        1 

3.2 

O.OI 

0.01 

2,4-DB 

Butyrac 

1 

3.2 

0.80 

0.89 

Fluometuron 

Cotoran 

5 

16.1 

0.76 

0.85 

Paraquat 

1 

3.2 

1.00 

1.12 

Folex 
I  inuron 

Lorox 

3 

9.6 

3.2 

0.75 
1.00 

0.84 
1.12 

LOUISIANA, 

25  SITES 

1_  IIIUIL"! 

Malathion 
Methylmercury 

1 

3.2 

2.40 

2.68 

Alachlor 

Lasso 

1 

4.0 

1.00 

1.12 

Aldrin 

3 

12.0 

0.15 

0.16 

acetate 

Ceresan  L 

6 

19.3 

0.01 

0.01 

Azinphosmethyl 
2.4-D 

Guthion 

1 
4 

4.0 
16.0 

0.75 
0.81 

0.84 
0.91 

Mirex 
MSMA 

4 
7 

12.9 

22.5 

0.08 
2.48 

0.09 

2.77 
1.12 
3.77 

2.4-DB 

Butyrac 

1 

4.0 

1.95 

2.18 

Nitralin 

Planavin 

1 

3.2 

1.00 

Dalapon 

Dowpon 

1 

4.0 

6.80 

7.62 

Parathion.  methyl 

13 

41.9 

3.36 

(Continued  next  page) 

Vol.  12,  No.  3,  December  1978 


141 


TABLE  3   (cont'd.  1.    Compounds  applied  to  cropland  sites  hy  state,  1971 — National  Soils  Monitoring  Program 


Average  Total 

Average  Total 

Trade 
Name, 

Pesticides  Applied 

No.  OF           %  OF 

Application 

Trade 
Name, 

Pesticides  Applied 

No.  OF          %  OF 

Application 

LB./ 

KG/ 

LB./ 

KO/ 

Compound 

If  Noted 

Sites 

Sites 

ACRE 

Hectare 

Compound 
Simazine 

If  Noted 
Princep 

Sites 

1 

Sites 
2.7 

Acre 
2.04 

Hectare 

Sodium  chlorate 

2 

6.4 

1.07 

1.20 

2.28 

Tcrraiolc 

1 

3.2 

0.15 

0.16 
0.04 

Sulfur 

1 

2.7 

0.50 

0.56 

Thiram 

I 

3.2 

0.04 

Toxaphenc 

Treflan 

10 
7 

32.2 
22.5 

6.90 
0.75 

7.73 
0.84 

NORTH  CAROLINA 

,  30  SITES 

Trifluralin 

Alachlor 

Atrazine 

Carbaryl 

2,4-D 

DEF 

Lasso 

AAtrex 

Sevin 

10.0 

23.3 

6.6 

16.6 

3.3 

3.00 
1.86 

3.00 
2.20 
0.75 

3.36 
2.08 
3.36 

MISSOURI.  80 

SITES 

Alachlor 
Aldrin 
Atrazine 
Chlorambcn 

Lasso 

8.7 
3.7 

1.82 
0.63 

2.03 
0.70 

2.46 
0.84 

AAtrcx 
Amibcn 

17 

21.2 
2.5 

2.24 
0.88 

2.50 
0.98 

Dichlofenthion 
Dichloropropcne 

Nemacidc 

3.3 
3.3 

6.(X) 
67.00 

6.72 
75.09 

2  4-D 

2.5 

0.50 

0.56 

Disulfoton 

Di-Syslun 

6.6 

0.90 

1.00 

2'.4-DB 
DSMA 
I  iniiron 

Bulyrac 

1.2 
1.2 

0.22 
3.00 

0.24 
3.36 

Fensulfothion 
Fluometuron 

Coloran 

3.3 
3,3 

2.00 
1.25 

2.24 
1.40 

Lorox 

2.5 

0.88 

0.98 

Malathion 

3.3 

0.50 

0.56 

MSMA 

Naptalam 

Propachlor 

Trifluralin 

1.2 

1.65 

1.84 

Maleic  hydrazide 

6.6 

3.00 

3.36 

Alanap 

2.5 

2.00 

2.24 

Naptalam 

Alanap 

3,3 

3.00 

3.36 

Ramrod 

3.7 

3.13 

3.51 

Toxaphene 

3.3 

0.09 

0.10 

Treflan 

3.7 

0.75 

0.84 

Trifluralin 

Treflan 

6.6 

1.00 

1.12 

NEBRASKA.   lOS 

i  SITES 

OHIO,  59  SITES 

Alachlor 

Lasso 

2 

1.9 

1.50 

1.68 

Alachlor 

Lasso 

5.0 

0.92 

1.02 

Atrazine 

AAtrex 

22 

20.9 

1.38 

1.54 

Aldrin 

5.0 

3.67 

4.10 

Biix 

5 

4.7 

0.91 

1.01 

Atrazine 

AAtrex 

13,5 

2.01 

2.25 

Captan 

Carbaryl 
Carbofuran 

31 

29.5 

0.01 

0.01 

Azinphosmethyl 

Ciuthion 

1,6 

1.00 

1.12 

Sevin 
Furadan 

2 
6 

1.9 

5.7 

1.17 
0.89 

1.31 
0.99 

Bordeaux  mixtures 
Captan 

1.6 
1.6 

1.25 
5.20 

1.40 
5.82 

Chevron  RE-5353 

4 

3.8 

0.85 

0.95 

Carbaryl 

Sevin 

3,3 

1.13 

1.26 

2. 4-D 

21 

20.(1 

1)72 

0.81 

Carbophenothion 

Trithion 

1.6 

3.20 

3.58 

n  1 T  7  i  n  n  n 

0.9 

1.30 

1.45 

Chlorambcn 

Amiben 

3.3 

2.75 

3.08 

Dichloropropcne 
Dicldrin 

0.9 
1.9 

17.00 

n.oi 

19.05 
0.01 

Chloropropham 
Cypromid 

CIPC 

Clobber 

1.6 

1.6 

2.50 
0.75 

2.80 
0.84 

Disulfoton 

Di-SystOTt 

0.9 

1.00 

1.12 

2,4-D 

12 

20.3 

0.50 

0.56 

EPTC 

Hplam 

0.9 

3.00 

3.36 

Dicamba 

Banvel  D 

8.4 

0.20 

0.22 

Fensulfothion 

0.9 

0.61 

0.68 

Dodine 

1.6 

0.50 

0.56 

Heptachlor 
Londax 

0.9 

0.01 

0.01 

Fcrbam 

1.6 

3.17 

3.55 

0.9 

0.50 

0.56 

Heptachlor 

2 

3,3 

1.57 

1.76 

Malathion 

26 

24.7 

0.03 

0.03 

Lead  arsenate 

1,6 

1.20 

1.34 

Melhoxychlor 
Mcthylmcrcury 
dicyandiatnide 

Panogen 

2 

2 

1.9 
1,9 

0.01 
0.01 

0.01 
0.01 

Linuron 
Melhoxychlor 
Parathion.  ethyl 

Lorox 

6,7 
1,6 
1.6 

1.25 
2.00 
0.50 

1.40 
2.24 
0.56 

Parathion.  ethyl 

2 

1.9 

1.00 

1.12 

Phosphamidon 
Simazine 

Dimecron 

1.6 

0.03 
2.(X) 

0.03 

Phorate 

Thimet 
Ramrod 

5 
4 

4.7 
3.8 

0.87 
2.59 

0.97 
2.90 

1,6 

2.24 

Propachlor 

OKLAHOMA.  62 

SITES 

Thiram 

1 

0.9 

0.01 

0.01 

Alachlor 

Arsenic  pentoxide 
Atrazine 

Lasso 

AAtrex 

. 

1.6 

3.2 
1.6 

5.00 
0.50 
13.00 

5.60 
0.56 

NEW  ENGLAND.i 

18  SITES 

2 

1 

Alachlor 

Lasso 

1 

5.5 

2.00 

2.24 

14.57 

Atrazine 

AAtrex 

1 

5.5 

1.00 

1.12 

Captan 

2 

3.2 

0.01 

0.01 

Azinphosmethyl 
Carbaryl 

Guthion 
Sevin 

1 
1 

5.5 
5.5 

0.50 
1.25 

0.56 
1.40 

2.4-D 
Disulfoton 

3 

2 

4.8 
3.2 

3.08 
0.65 

3.45 
0.72 

Dinitrocresol 

5.5 

0.75 

0.84 

FMTS 

Ceresan  M 

4 

6.4 

0.01 

0.01 

Endosulfan 

1 

5.5 

0.75 

0.84 

F.thylmercury 

EPTC 

Eptam 

1 

5.5 

4.00 

4.48 

chloride 

Ceresan  Re 

d        1 

1.6 

0.01 

0.01 

Maneb 

1 

5.5 

4.80 

5.37 

Furclhrin 

1 

1.6 

8.00 

8.96 

Parathion.  methyl 

1 

5.5 

1.25 

1.40 

Mcthylmcrcury 

dicyandiamide 
Nabam 

Parathion,  ethyl 
Parathion,  methyl 

Panogen 

2 
I 
3 

5 

3.2 
1.6 
4.8 
8.0 

0.01 
5.00 
3.17 
0.50 

0.01 

NEW 

YORK.  .17 

SITES 

5.60 
3.54 
0.56 

Atrazine 

AAtrex 

11 

29.7 

1.38 

1.54 

Azinphosmethyl 

Guthion 

2 

5.4 

0.56 

0.62 

Phorate 

1 

1.6 

15.00 

16.81 

Butylatc 

Suian 

1 

2.7 

3.00 

3.36 

Thiram 

3 

4.8 

0.01 

0.01 

Captan 
Carbaryl 

d 

10.8 

0.66 
3.20 
0.37 
0.25 
2.67 
0.70 
2.97 
0.33 
0.50 
1.00 
4.00 
0.01 
12.80 
0.01 

0.73 
3.58 
0.41 
0.28 
2.99 
0.78 
3.33 
0.36 
0.56 
1.12 
4.48 
0.01 
14.34 
0.01 

Sevin                   2 
3 
2 
1 

Di-Syston            2 

Premerye            2 
1 
1 

Phallan                 1 

1 

-> 

Diihane  M-J5      1 

1 

5.4 
8.1 
5.4 
2.7 
5.4 
5.4 
2.7 
2.7 
2.7 
2,7 
5.4 
2.7 
2,7 

OREGON,  37  SITES 

2, 4-D 

Dicldrin 

Dinitrocresol 

Disulfoton 

DNBP 

Dodine 

Endosulfan 

Folpet 

Lead  arsenate 

Malathion 

Mancozeb 

Mcthoxychlor 

Atrazine 

Bromacil 

Captafol 

2,4-D 

Dicamba 

Dichlorprop 

Dichloropropcne 

Disulfoton 

Endosulfan 

EPTC 

Heptachlor 

llcxachloro- 

benzenc 
Linuron 

AAtrex 

Hyvar 

Difolatan 

Banvel  D 
2,4-DP 

Di-.Syston 

Thiodan 

Eptam 

2.7 
2.7 
2.7 
8.1 
2,7 
2.7 
2.7 
5.4 
5.4 
2.7 
2.7 

4.00 
0.37 
1.50 
0.50 
0.06 
3.00 
0.01 
2.00 
0.75 
3.00 
O.OI 

4.48 
0.41 
1.68 
0.56 
0.06 
3.36 
0.01 
2.24 
0.84 
3.36 
0,01 

Phosphamidon 
Propargitc 

Dimecron 
Omile 

1 

2.7 
2.7 

0.50 
5.00 

0.56 
5.60 

Lorox 

2.7 
2.7 

0.01 
0.75 

0.01 
0.84 

(Continued  next  page) 
142 


Pesticides  Monitoring  Journal 


TABLE  3   (cont'd. ).    Compounds  applied  to  cropland  sites  hy  state,  1971— National  Soils  Monitoring  Program 


Average  Total 

Average  Total 

Trade 
Name. 

Pesticides 
No.  OF 

Applied 

%  OF 

Application 

Trade 
Name. 

Pesticides  Applied 

No,  OF          %  OF 

Application 

LB./ 

KG/ 

LB./ 

KG/ 

Compound 

If  Noted 

Sites 

Sites 

Acre 

Hectare 

Compound 

If  Noted 

Sites 

Sites 

Acre 

Hectare 

Malathton 
Melhylmercury 

1 

2.7 

1 .00 

1.12 

TENNESSEE, 

24  SITES 

dicyandiamidc 

Panoycn 

J 

8.1 

0.14 

0.15 

DEF 

I 

4.1 

1.50 

1,68 

Mevinphos 

Phosdrin 

1 

2.7 

0.50 

0.56 

Disulfoton 

Di-Syston 

3 

12.5 

3.00 

3,36 

Oxydemelon- 

Diuron 

Karmex 

2 

8.3 

1.55 

1,73 

methyl 
Paralhion,  ethyl 

Metasystox-R      1 

2 

2.7 
5.4 

0.50 
3.25 

0.56 
3.64 

DSMA 
Fluomctuion 
Folex 
Parathion,  methyl 

Cotoran 

1 

1 

2 
1 
1 
1 
1 

4.1 

8.3 
4.1 
4.1 
4.1 
4.1 

2.00 
1.50 
1.50 
1.50 
1.50 
6.00 

2,24 
1.68 
1.68 

PENNSYLVANIA, 

35  SITES 

1.68 

1.68 
6.72 

Alachlor 

Lasso 

2 

5.5 

0.88 

0.98 

Toxaphene 

Atrazine 

AAtrex 

5 

13.8 

1.65 

1.84 

Trietazine 

I 

4.1 

0.70 

0.78 

Bulylate 

Sulan 

1 

2.7 

1.20 

1.34 

Trifluralin 

3 

12.5 

0.98 

1.09 

?,4-D 

2 

5.5 

0.50 
1.00 
1.00 

0.56 
1.12 
1.12 

Malaihion 

1 
1 

2^7 
2.7 

VIRGINIA/WEST  VIRGINIA,'  26 

SITES 

Melhoxychlor 

Atrazine 
Captan 
Carbaryl 
Diazinon 

AAtrex 
Sevin 

2 

7.6 
3.8 
3.8 

2.00 
0.08 
2.00 

2.24 

SOUTH 

CAROLINA 

.  15  SITES 

0,08 

2.24 
0.44 

Benefit! 

Balan 

1 

6.6 

1.08 

1.21 

3^8 

0.40 

BHC 

1 

6.6 

0.03 

0.03 

Diniirocresol 

3.8 

1.50 

1.68 

Carbaryl 

Scvin 

2 

13.3 

2.25 

2.52 

Endosulfan 

3.8 

1.20 

1,34 

Copper  sulfate 

1 

6.6 

10.50 

11.76 

EPTC 

Eptam 

3.8 

0.70 

0,78 

2.4-DB 

1 

6.6 

0.25 

0.28 

Mctham 

Vapam 

3.8 

2.16 

2.42 

DDT 

J 

2I).0 

8.94 

9,24 

Metlioxychlor 

3.8 

0.80 

0.89 

DEF 

2 

13.3 

1.16 

1.30 

Vernolalc 

Vcrnam 

3.8 

2.00 

2.24 

ni«n1  fnt  r»n 

Di-Syston 

Karmex 

Alanap 

2 

13.3 
13.3 
6.6 

0.59 
1.00 
0.75 

0.65 
1.12 
0.84 

Diuron 

2 
1 

WASHINGTON  STATE,  45  SITES 

Naptalam 

Aldrin 

1 

2.2 

0.43 

0,48 

Parathion,  methyl 

5 

33.3 

4.76 

5.34 

BHC 

2 

4.4 

0.01 

0,01 

Thiram 

1 

6.6 

0.01 

0.01 

Bromacil 

2 

4.4 

0.75 

0.84 

Toxaphene 

3 

20.0 

13.16 

14.75 

Captan 

2 

4.4 

0.06 

0.06 

Trifluralin 

Treflan 

2 

13.3 

1.00 

1.12 

2,4-D 
DDT 

Dicamba 
HCB 

Banvel  D 

13 
1 
1 
6 

28.8 
2.2 
2.2 

13.3 

1.32 
0.75 
0.13 
O.OI 

1.48 

SOUTH 

DAKOTA, 

106  SITES 

0.84 
0.14 

Atrazine 

AAtrex 

5 

4.7 

1.59 

1.78 

0.01 

Barban 

Carbync 

1 

0.9 

0.25 

0.28 

Melhylmercury 

Bux 

3 

2.8 

0.70 

0.78 

dicyandiamidc 

1 

2.2 

0.01 

0.01 

Captan 

24 

22.6 

0.01 

0.01 

Parathion,  ethyl 

1 

2.2 

1.50 

1.68 

2,4-D 

32 

30.1 

0.45 

0.50 

Phenylmercury 

Diazinon 

3 

2.8 

1.64 

1.83 

acetate 

1 

2.2 

0.01 

O.OI 

Dicamba 

Banvcl  D 

2 

1.8 

0.12 

0.13 

Phenylmercury 

Dicldrin 

2 

1.8 

0.01 

0.01 

urea 

3 

6.6 

0,01 

0.01 

Ethylmercury 

Terbacil 

Sinbar 

1 

2.2 

1.40 

1.56 

chloride 
Fensulfothion 

Cercsan  Red        1 

0.9 

0.01 

0.0 1 

Terbutryn 

Igran 

1 

2.2 

1.75 

1.96 

1 

0.9 

1.20 

1.34 

Malathion 

MCP 

17 

16.0 
1.8 

0.01 
0.25 

0.01 
0.28 

WISCONSIN, 

66  SITES 

MCPA 

Alachlor 

Lasso 

6.0 

1.44 

1.61 

Methoxychlor 

0.9 

O.lll 

0.01 

Atrazine 

AAtrex 

25 

37.8 

1.83 

2.04 

Melhylmercury 

Bux 

1.5 

7.00 

7.84 

dicyandiamidc 

Panogen 

3.7 

0.01 

0.01 

Carbofuran 

Furadan 

4.5 

0.90 

1.01 

Parathion,  methyl 

0.9 

0.50 

0.56 

2,4-D 

3.0 

1.50 

1.68 

Phorate 

Thimet 

0.9 

0.60 

0.67 

2,4-DB 

Disulfoton 

Butyrac 
Di-Syston 

1.5 

1.5 

0.50 
2.00 

0.56 
2.24 

Propachlor 

Ramrod 

2.8 

2.40 

2.68 

Entiosulfan 

Thiodan 

1.5 

1.00 

1.12 

Thiram 

1.8 

0.01 

0.01 

Linuron 

Lorox 

1.5 

1.00 

1.12 

Atrazine 

AAtrex 

8.3 

1.85 

2.07 

MCPA 

MCP 

1.5 

0.50 

0.56 

2,4-DB 

Butyrac 

4.1 

0.29 

0.32 

Phorate 

Thimet 

1.5 

6.00 

6.72 

DDT 

4.1 

3.00 

3.36 

Thiram 

1.5 

0.01 

0.01 

'See  Table  1. 

Vol.  12,  No.  3,  December  1978 


143 


....        .... 

0 

C)C)C<5Qw:^^ 

$: 

aX<>VJ^\VS 

C310 

m'.'."^'                        < 

«    M 

-  Kf^HW  y  A  5AAA 

III-     LoOowO 

FIGURE  2.     Percent  of  sites  reporting  pesticide  applications,  1971 ,  National  Soils  Monitoring  Program 


TABLE  4.    Crop  and  pesticide  application  data  for  sampling  sites,  1971 — National  Soils  Monitoring  Program 


Pesticides 

Pesticides 

Pesticides 

Pesticides 

Pesticides 

Not 

Application 

Pesticides 

Not 

Application 

Total 
No.  OF 

Applied 

Applied 

Unknown 

Total 

Applied 

Applied 

Unknown 

No.  OF 

No.  OF 

No.  OF 

No.  OF 

No.  OF 

No.  OF 

No.  OF 

Crop 

Sites 

Sites         % 

Sites 

7c 

Sites 

9r 

Crop 

Sites 

Sites 

% 

Sites 

% 

Sites     % 

Corn,  field 

445 

366           82 

70 

16 

9 

2 

Saffiower 

1 

33 

2 

67 

Soybeans 

251 

147           59 

100 

40 

4 

Almonds 

2 

100 

Wheat 

115 

56            49 

59 

51 

Blueberries 

2 

100 

Hay,  mixed 

112 

3             3 

108 

96 

1 

Cabbage 

2 

100 

Alfalfa  and/ or 

Figs 

~i 

100 

bur  clover 

108 

10              9 

97 

90 

1 

Peaches 

-> 

100 

Cotton 

63 

55           87 

6 

10 

2 

Timothy 

-> 

100 

Sorghum,  sweet 

Tomatoes 

sorghum,  milo 

52 

32           62 

19 

37 

1 

Apricots 

1 

100 

Oats 

47 

16           34 

30 

64 

1 

Broccoli 

1 

100 

Pasture 

41 

2            5 

39 

95 

Carrots 

1 

100 

Hay,  grass 

25 

25 

100 

Cherries 

1 

100 

Barley 

16 

4          25 

12 

75 

Cowpeas 

1 

100 

Peanuts 

11 

9          82 

2 

18 

Cucumbers 

1 

100 

Potatoes,  white 

11 

9           82 

.> 

12 

Flax 

1 

100 

Clover 

y 

1           11 

8 

89 

Grapefruit 

1 

100 

Rice 

9 

8            89 

1 

11 

Lemons 

1 

100 

Beans,  diy 

8 

5           63 

3 

37 

Lentils 

1 

100 

Grapes 

8 

7           88 

1 

12 

Lettuce 

1 

100 

Apples 

7 

7         100 

Mint 

1 

100 

Oranges 

7 

5           71 

2 

29 

Pecans 

1 

100 

Sugarbeels 

6 

5           83 

1 

17 

Plums  prunes 

1         100 

Sugarcane 

6 

6         100 

String  beans 

1 

100 

Peas 

5 

2           40 

3 

60 

VVatermcItm 

1 

100 

Rye 

5 

5 

100 

Other 

11 

3 

27 

8 

73 

Tobacco 

5 

4           80 

1 

20 

Fallow  sites 

83 

3 

4 

80 

96 

144 


Pesticides  Monitoring  Journal 


TABLE  5.     Compounds  applied  lo  cropland  sites  by  crop,  1971— National  Soils  Monitoring  Program 


Pesticides  Applied 


Average  Total 
Application 


Compound 


No.  OF  Sites 


•  OF  Sites 


LB. /Acre 


ko/Hectare 


Reported  Total 
Application  Rate,  kg  Hectare 


MiN. 


Max. 


ALFALFA  and  BUR  CLOVER.    106  SITES 


Carbaryl 

Diazinon 

EPTC 

Malathion 

Melhoxychlor 

Mevinphos 

Parathion,  elhyl 

Trichlorfon 


0.9 
0.9 
1.9 
2.8 
1.9 
1.9 
2.8 
0.9 


1.00 
0.40 
1.8S 
L13 
0.90 
1.50 
2.50 
0.75 


1.12 
0.45 
2.07 
1.27 
1.01 
1.68 
2.80 
0.84 


0.78 
1.12 
0.90 
1.12 
0.56 


1.12 
0.45 
3.36 
1.57 
1.12 
2.24 
6.72 
0.84 


COTTON,  61  SITES 


Aldrin 

Arsenic  penloxide 

Azodrin 

Cacodylic  acid 

Captan 

Chloroneb 

2.4-D 

DDT 

DEF 

Dicofol 

Disulfoton 

Diuron 

DNBP 

DSMA 

EMTS 

Endrin 

Eliiylmercury  chloride 

Fluometuron 

Folex 

Linuron 

Malathion 

MCPA 

Mercury 

Methyl  trilhion 

Methylmerciiry  acetate 

Methylmercury  dicyandia 

Mirexi 

Monuron 

MSMA 

Nitralin 

Paraquat 

Parathion.  ethyl 

Parathion,  methyl 

PCNB 

Prometryn 

Sodium  chlorate 

Terrazole 

Thiram 

Toxaphene 

Trifluralin 


4 
1 
1 
9 
1 

25 
9 
1 

14 
8 
2 

11 
4 
2 
1 

21 
5 
2 
2 
1 
2 
1 

6 
mide  2 

2 
15 

1 
1 

5 
36 


4 
1 
3 

27 
21 


1.6 
3.3 
6.6 
1.6 
1.6 

14.8 
1.6 

41.0 

14.8 
1.6 

23.0 

13.1 
3.3 

18.0 
6.6 
3,3 
1,6 

34.4 
8.2 
3.3 
3.3 
1.6 
3,3 
1.6 
9.8 
3.3 
1.6 
3.3 

24,6 
1,6 
1.6 
8.2 

59.0 
3,3 
3,3 
6.6 
1.6 
4,9 

44,3 

34.4 


0.01 
0.50 
0.33 
0.01 
0.01 
0,01 
0,44 
4,28 
1.03 
1.00 
1.31 
1.45 
1.62 
2.00 
0.04 
2.80 
0.01 
0.96 
1.05 
0.63 
1.55 
0.50 
0.06 
i.OO 
0.01 
0.01 
0.01 
1.30 
1.86 
1.00 
0.25 
6.78 
3.26 
3.51 
1.08 
1.80 
0.15 
0.01 
7.95 
0.74 


0.01 
0.56 
0.37 
0.01 
0.01 
0.01 
0.49 
4.80 
1.16 
1.12 
1,46 
1.63 
1.82 
2.24 
0.04 
3.14 
0.01 
1.07 
1.18 
0.70 
1.74 
0.56 
0.07 
3.36 
0.01 
0.01 
0.01 
1.46 
2.08 
1.12 
0.28 
7.60 
3.65 
3.M3 
1.21 
2.02 
0.17 
0.01 
8.91 
0.83 


0.01 
0.56 
0.06 
0.01 
0.01 
0.01 
0.49 
0.09 
0.67 
1.12 
0.01 
0.38 
1.12 
0.24 
O.Ul 
1.57 
0.01 
0.56 
0.84 
0.56 
0.78 
0.56 
0.01 
3.36 
0.01 
0.01 
0.01 
1.12 
0.75 
1.12 
0.28 
0.84 
0.06 
0.01 
0.18 
0.06 
0.17 
0,01 
0.1(1 
0.28 


0.56 
0.56 


0.01 

13,45 
1.68 

7.85 
5.04 
2,52 
4,48 
0.11 
4.71 

2.24 
1.68 
0.84 
2.69 

0.12 

0.01 
0.01 

1.79 
5.60 


21.02 

11.21 

7.85 

2.24 

5.60 

0.01 

40.35 

1.24 


FIELD  CORN,  427  SITES 


Alachlor 

Aldrin 

Atrazine 

Butylate 

Bux 

Captan 

Carbaryl 

Carbofuran 

Chevron  RE-5353 

Chloramben 

Chlordane 

Cypromid 

2,4-D 

Dalapon 

DDT 

Demeton 

Diazinon 

Dicamba 

Dieldrin 

DNBP 

Disulfoton 

Dyfonate 

EPTC 

Ethoprop 


37 

37 
199 

18 

17 

116 

3 

18 
4 
2 
1 
1 

72 
2 
2 
1 

11 
9 
3 
1 
2 
1 
1 
1 


8.7 
8.7 

46.6 
4.2 
4,0 

27,2 
0.7 
4.2 
0.9 
0,5 
0,2 
0,2 

16,9 
0.5 
0.5 
0.2 
2.6 
2.1 
0.7 
0.2 
0,5 
0.2 
0,2 
0,2 


1.66 

1.37 
1.72 
1.74 
1.26 
0.01 
1.32 
0.81 
0.85 
1.12 
2.50 
0.75 
0.73 
1.05 
1.00 
0.12 
0.93 
0.37 
0.01 
3.20 
0,65 
11.90 
2.00 
1,00 


1.86 
1.54 
1.93 
1.95 
1.41 
0.01 
1.47 
0.90 
0.95 
1.26 
2.80 
0.84 
O.SI 
1.18 
1.12 
0.13 
1.05 
0.42 
0.01 
3.59 
0.73 
1.01 
2.24 
1.12 


0.28 
0,11 
0.16 
0.28 
0.5(1 
0.01 
0,84 
0.28 
0.78 
0.28 
2.80 
0.84 
0.06 
1.18 
1.12 
0.13 
0,01 
0,13 
0.01 
3.59 
0.56 
1.01 
2  24 
1.12 


6.72 
5.60 
4.48 
3.36 
7.85 
0.01 
1,79 
2,58 
1,12 
2,24 


3,36 
1.18 
1.12 

2.80 
1.12 
0.01 

0.90 


{Continued  next  page) 


Vol,  12,  No,  3,  December  1978 


145 


TABLE  5     (cont'd.).     Compotiiuh  applied  to  cropland  sites  by  crop,  1971 — National  Soils  Monitoring  Program 


Pesticides  Applied 


Average  Total 
Application 


Reported  Total 
Application  Rate.  kg/Hectare 


Compound 


No.  of  Sites 


>  OF  Sites 


LB. /Acre 


kg/Hectare 


MiN. 


Max. 


Elhylmerciiry  chloride 

1 

Fciisulfolhion 

4 

Ferbam 

1 

Furethrin 

1 

Hcptachlor 

6 

Isodrin 

I 

Lindane 

1 

Linuron 

2 

Londax 

1 

Malatliion 

96 

Methoxychlor 

20 

Mirexi 

1 

MSMA 

1 

Paraquat 

I 

Paratiiion,  ethyl 

3 

PCP 

1 

Phorate 

20 

Propachlor 

38 

Silvex 

2 

Simazine 

5 

2,4, 5-T 

2 

Thiram 

1 

Toxaphene 

1 

Alachlor 

Captan 

Carbaryl 

Chloramben 

Chloropropham 

Dalapon 

2,4-DB 

DDT 

Dichloropropene 

DNBP 

Fluometiiron 

Linuron 

Mirex' 

MSMA 

Naptalam 

Nitralin 

Paraquat 

Parathion.  methyl 

Propachlor 

Solan 

Thiram 

Toxaphene 

Trifluralin 

Vernolaie 


27 
3 
5 

38 
1 
1 
6 
2 

10 
1 

16 
1 
1 
3 
4 
I 
3 

1 

1 

2 

38 

3 


0.2 
0.9 
0.2 
0.2 
1.4 
0.2 
0.2 
0.5 
0.2 
22.5 
4.7 
n.2 
0.2 
0.2 
0.7 
0.2 
4.7 
8.9 
0.5 
1.2 
0.5 
0.2 
0.2 


0.01 
0.93 
2.00 
8.00 
1.67 
0.01 
0.02 
0.52 
0.50 
0.01 
0.01 
D.OI 
0.25 
1.00 
0.87 
6.00 
(1.81 
1.42 
0.38 
2.C0 
0.30 
0.01 
2.73 


0.01 
1.04 
2.24 
8.97 
1.87 
0.01 
0.02 
0.59 
0.56 
0.01 
0.01 
0.01 
0.28 
1.12 
0.97 
6.72 
0.91 
1.57 
0.42 
2.24 
0.34 
0.01 
3.06 


11.1 
1.2 
2.1 
15.6 
0.4 
0.4 
2.5 
0.8 
0.4 
4.1 
0.4 
66 
0.4 
0.4 
1.2 
1.6 
0.4 
1.2 
0.4 
0.4 
0.4 
0.8 
15.6 
1.2 


1.33 
0,04 
1.88 
1.42 
2.50 
6.80 
0.84 
2.50 
67.00 
1.08 
1.00 
0.96 
0.01 
2.00 
2.33 
1.06 
2.00 
2.55 
2.80 
1.00 
0.04 
3.82 
I. II 
0.80 


1.49 
0.04 
2.11 
1.59 
2.80 
7.62 
0.94 
2.80 
75.09 
1.21 
1.12 
1.08 
0.01 
2.24 
2.61 
1.19 
2.24 
2.86 
3.14 
1.12 
0.04 
4.29 
1.24 
0.90 


0.01 
0.68 
2.24 
8.97 
0.01 
0.01 
0.02 
0.33 
0.56 
0.01 
0.01 
0.01 
0.28 
1.12 
0.56 
6,72 
0.19 
0.10 
0.28 
1.40 
0.28 
0.01 
3.06 


0.22 
0.01 
0.90 
0.25 
2.80 
7.62 
0.25 
1.12 
75.09 
0.43 
1.12 
0.28 
0.01 
2.24 
1.12 
0.84 
2.24 
1.12 
3.14 
1.12 
0.04 
2.24 
0.25 
0.78 


1.34 


3.36 


0.84 


0.01 
0.02 


1.23 

16.81 
6.72 
0.56 
2.80 
0.39 


MIXED  HAY,  111   SITES 

2.4-D 
Mirexi 

2 

1 

1.8 
0.9 

0.80 
0.01 

0.90 
0.01 

0.67 
0.01 

1.12 

SOYBEANS,  243  SITES 

6.16 
0.08 
4.30 
4.48 


2.19 
4.48 


2.52 
2.24 


3.36 
1.68 


5.77 


6.33 

5.60 
1.01 


WHEAT.  113  SITES 


Aldrin  1 

Azinphosmethyl  1 

Barban  1 

BHC  2 

Bromacil  2 

Captan  1 
2,4-D                                       28 

Dicamba  3 

Dichlorprop  1 

Disulfoton  2 

EMTS  4 

Ethylmcrcury  chloride  4 

Hexachlorobenzene  6 
Methylmercury  dicyandiamide  9 

Parathion,  ethyl  1 

Parathion,  methyl  4 

Phenylmercury  acetate  3 

Terbutryne  1 

Thiram  2 


0.9 
0.9 
0.9 
1.8 
1.8 
0.9 
24.8 
2.7 
0.9 
1.8 
3.5 
3.5 
5.3 
8.0 
0.9 
3.5 
2.7 
0.9 


0.01 
0.22 
0.25 
0.02 
0.56 
0.25 
0.83 
0.11 
3.00 
0.36 
0.01 
0.06 
0.02 
0.01 
8.00 
0.50 
0.01 
1.75 
O.OI 


0.01 
0.25 
0.28 
0.02 
0.63 
0.28 
0.93 
0.12 
3.36 
0.40 
0.01 
0.06 
0.02 
O.OI 
8.97 
0.56 
0.01 
1.96 
0.01 


0.01 
0.25 
0.28 
0.01 
0.41 
0.28 
0.13 
0.07 
3.00 
0.40 
0.01 
0.01 
0.01 
0.01 
8.97 
0.56 
0.01 
1.96 
0.01 


0.02 
0.84 

4.48 
0.15 

0.40 
0.01 
0.11 
0.03 
0.01 

0.56 
0.01 

0.01 


'Aerially  applied  for  conlrol  of  the  imported  fire  ant. 


146 


Pesticides  Monitoring  Journal 


TABLE  6. 


Pesticide  application  information  on  selected  crops,  by  state,  for  sampling  sites.  1971- 
National  Soils  Monitoring  Program 


Total 

Pesticides 

Pesticides 

Pesticides 

Total 

Pesticides 

Pesticides 

Pesticides 

State 

No.  OF  Sites            Applied 

Not  Applied 

Use  Unknown 

No.  OF  Sites 

Appl 

ED 

Not  Applied 

Use  Unknown 

ALFALFA 

AND/OR  BUR  CLOVER 

COTTON 

Alabama 

0 

4 

4 

Arkansas 

1 

1 

9 

7 

7 
6 

1 
1 

1 

California 

5 

3 

2 

Georgia 

0 

5 

5 

Illinois 

4 

4 

0 

Indiana 

1 

1 

0 

Iowa 

19 

19 

0 

Louisiana 

0 

7 

7 

Michigan 

7 

1 

6 

0 

Mississippi 

0 

13 

12 

1 

Missouri 

3 

1 

2 

1 

1 

Nebraska 

10 

10 

0 

New  England 

2 

2 

0 

New  York 

4 

4 

0 

N.  Carolina 

0 

1 

1 

Ohio 

2 

2 

0 

Oklahoma 

2 

1 

1 

5 

2 

2 

1 

Oregon 

5 

1 

4 

0 

Pennsylvania 

7 

1 

5 

1 

0 

S.  Carolina 

0 

5 

4 

1 

S.  Dakota 

16 

16 

0 

Tennessee 

(1 

6 

6 

Va./W,  Va. 

2 

2 

0 

Washington  stale 

2 

2 

C 

Wisconsin 

16 

16 

0 

FIELD 

CORN 

SOYBEANS 

Alabama 

5 

3 

2 

7 

1 

6 

Arkansas 

1 

1 

24 

13 

11 

California 

1 

1 

0 

Florida 

1 

1 

2 

2 

Georgia 

1.1 

5 

g 

3 

2 

1 

Illinois 

67 

65 

2 

58 

36 

22 

Indiana 

34 

31 

2 

1 

21 

17 

3 

1 

Iowa 

81 

70 

11 

42 

34 

8 

Kentucky 

16 

10 

4 

2 

3 

1 

1 

1 

Louisiana 

1 

1 

5 

2 

3 

Michigan 

21 

14 

7 

1 

1 

Mid-Atlantic 

9 

5 

2 

2 

1 

1 

Mississippi 

1 

1 

14 

9 

5 

Missouri 

18 

16 

2 

22 

13 

8 

1 

Nebraska 

46 

40 

4 

2 

3 

3 

New  England 

3 

2 

1 

0 

New  York 

15 

11 

2 

2 

0 

N.  Carolina 

13 

9 

4 

8 

5 

3 

Ohio 

23 

19 

4 

14 

8 

5 

1 

Oklahoma 

3 

2 

1 

2 

1 

1 

Pennsylvania 

8 

5 

3 

1 

1 

S.  Carolina 

2 

1 

1 

7 

2 

5 

S.  Dakota 

27 

26 

1 

1 

1 

Tennessee 

5 

2 

3 

9 

2 

7 

Va./W,  Va. 

3 

3 

1 

1 

Washington  stale 

2 

1 

1 

0 

Wisconsin 

24 

23 

1 

0 

WHEAT 

MIXED 

HAY 

Alabama 

0 

1 

1 

Arkansas 

1 

1 

2 

2 

California 

4 

1 

3 

1 

1 

Florida 

0 

1 

1 

Idaho 

13 

5 

8 

0 

Illinois 

6 

1 

S 

1 

1 

Indiana 

5 

1 

4 

2 

2 

Iowa 

1 

1 

5 

5 

Kentucky 

0 

2 

2 

Michigan 

1 

1 

9 

1 

8 

Mid-Atlantic 

0 

1 

1 

Mississippi 

0 

1 

1 

Missouri 

1 

1 

20 

20 

Nebraska 

3 

1 

2 

0 

New  England 

0 

5 

5 

New  York 

0 

9 

8 

1 

N.  Carolina 

0 

1 

1 

Ohio 

5 

1 

4 

6 

6 

Oklahoma 

34 

13 

21 

0 

Oregon 

3 

3 

3 

3 

(Continued  next  page) 


Vol.  12,  No.  3,  December  1978 


147 


TABLE  6   (cont'd. ).     Pesticide  appliiulion  injonnation  on  selccleil  crops,  />>■  slate,  for  sampliiif;  sites,  1971 — 

National  Soils  Motiitorinii  Program 


Total 
No.  OF  Sites 


Pesticides 
Applied 


Pesticides 
Not  Applied 


Pesticides 
Use  Knovvn 


Total 
No.  OF  Sites 


Pesticides 
Applied 


Pesticides 
Not  Applied 


Pesticides 
Use  Known 


Pennsvlvania 

0 

S.  Dakota 

20 

IS 

5 

Va./W.  Va. 

0 

Washington  state 

18 

15 

3 

Wisconsin 

0 

13 
8 
5 
1 

15 


12 
8 

5 

15 


LITERATURE  CITED 

(/)   Bennett.  I.  L.   1967.  Foreword.  Peslic.   Monit,  J.   1(1). 

(2)  Carey,  A.  £.,  J.  A.  Gowen.  H.  Tai,  W.  G.  Mitchell,  ami 
G.  B.  Wiersnia.  I97S.  Pesticide  residue  levels  in  soils 
and  crops,  1971 — National  Soils  Monitoring  Program 
(III).  Pestic.  Monit.  J.  12(3) :  117-136. 


(.?)  Panel  on  Pesticide  Monitorini;.  1971.  Criteria  for  defin- 
ing pesticide  levels  to  be  considered  an  alert  to  poten- 
tial problems.  Pestic.  Monit.  J.  5(1);36. 

(•/)  Wiersnui,  G.  B.,  P.  F.  Sand,  and  E.  L.  Cox.  1971.  A 
sampling  design  to  determine  pesticide  residue  levels  in 
soils  of  the  conterminous  United  States.  Pestic.  Monit. 
J.  5(l):63-66. 


148 


Pesticides  Monitorinc;  Journal 


WATER 


Organochlorines,  ChoUnest erase  Inhibitors,  and  Aromatic  Amines  in 
Dutch  Water  Samples,  September  1969-December  1975 

Ronald  C.  C.  Wegnian  and  Peter  A.  Greve  i 


ABSTRACT 

The  Dutch  aquatic  ciivironnwitt  was  monitored  jrom  Sep- 
tember 1969  to  December  1975  for  organochlorine  pesti- 
cides and  their  metabolites,  cholinesterase  inhibitors,  and 
aromatic  amines.  The  1,492  samples  analyzed  included 
surface  water,  rainwater,  groundwater,  and  drinking  water. 

The  higliest  concentrations  of  he.xachlorobeiizene  (HCB) 
and  a-  and  fi-benzene  he.xachloride  (BHC)  were  found  in 
the  Rhine  River  and  its  tributaries.  Concentrations  of  the 
compounds  in  the  Dutch  part  of  the  Rhine  River  decreased 
downstream.  Other  organochlorine  pesticides  and  their 
metabolites,  heptachlor.  hcptachlor  epoxide,  aldrin,  dieldrin. 
endrin  a-  and  ji-endosulfan.  and  ^DDT  were  detected  occa- 
sionally, but  only  in  low  conct  ntrations.  Cholinesterase  in- 
hibitors and  aromatic  amines  were  always  present  in  the 
Rhine  River  ami  its  tributaries. 

Introduction 
Preliminary  investigations  before  1969  of  organochlorine 
pesticides  and  related  substances  in  the  Dutch  aquatic 
environment  indicated  the  necessity  of  a  long-term  in- 
vestigation. Endosuifan  levels  found  in  the  Rhine  River 
later  in  1968  (6)  underlined  the  need  for  such  an  in- 
vestigation. 

Samples  were  taken  from  surface  water,  rainwater, 
groundwater,  and  drinking  water  prepared  from  surface 
water.  Presently,  about  one  third  of  the  Dutch  popu- 
lation is  at  least  partly  supplied  with  drinking  water 
prepared  from  surface  water.  Sampling  sites  varied 
every  year,  except  for  a  few  fixed  sites  including  the 
Maas  and  Rhine  Rivers,  so  that  after  7  years  all  parts 
of  The  Netherlands  were  investigated  for  at  least  I 
year.  Special  interest  was  paid  to  large  agricultural 
areas  such  as  the  IJsselmeerpolders. 


'Laboralory  of  Toxicology.   National   InsUluiu  of   Public  Healih.   Bili- 
hoven,  The  Netherlands. 


During  the  study,  the  number  of  sampling  sites  at 
drinking  water  stations  was  gradually  decreased  as  the 
stations  acquired  equipment  and  expertise  to  analyze 
their  own  samples. 

Levels  of  organochlorine  pesticides  were  determined 
because  they  are  persistent  and  accumulate  in  the  food 
chain.  Analyses  were  performed  for  cholinesterase  in- 
hibitors including  phosphates,  thiophosphates,  dithio- 
phosphates,  and  carbamates  (e.g.,  dichlorvos,  parathion. 
malathion,  carbaryl,  respectively).  From  the  herbicide 
group,  urea  compounds  were  chosen  because  of  their 
great  application  rate.  This  group  of  compounds  was 
determined  as  their  aromatic  amine  moiety. 

During  the  present  investigation,  papers  were  published 
on  endosuifan  in  the  Rhine  River  (6),  cholinesterase 
inhibitors  in  Dutch  surface  waters  {S),  pesticides  in  the 
Rhine  River  (9),  aromatic  amines  and  their  derivatives 
in  Dutch  surface  waters  (10),  and  the  fate  of  pesticides 
during  drinking  water  preparation  (7).  In  cooperation 
with  the  Federal  Health  Office  in  Berlin,  the  concentra- 
tions of  cholinesterase  inhibitors  in  the  German  and 
Dutch  parts  of  the  Rhine  River  were  compared  and  the 
main  source  was  determined  (5).  From  these  papers, 
only  the  primary  results  are  repeated  here. 

Metlwds  and  Materials 
The  1,492  samples  were  collected  by  means  of  a  bail 
and  were  transported  in  acetone-washed  bottles  to  the 
National  Institute  of  Public  Health,  Bilthoven,  The 
Netherlands.  Surface  water  was  taken  from  a  depth  of 
about  1  m.  Locations  of  the  92  sampling  sites  are  given 
in  Figure  1. 

The  methods  mentioned  in  the  present  report  include  im- 
provements introduced  during  the  study.   They  had  no 


Vol.  12,  No.  3,  December  1978 


149 


NETHERLANDS 


1-16   surface  water  for 
preparation  of 
drinking  water 
17-20   groundwater  and 

rainwater 
21-24   coastal  waters 
25-3A   IJsselmeer  region 
35-44   Maas  River  and 

tributaries 
45-50      Rhine   River   and 


51-92 


waters 


tributaries  f"    ~\S^*^ 
other  surface   _~^ — -d-Q'^^ 


FIGURE  1.     Snmplina  silex  for  study  of  organochlorines,  choliite.sterasc  inhibitors,  and  aromatic  amines  in  Dutch  water  samples 


significant  influence  on  the  results,  except  for  the  C„ 
compounds  which  could  be  determined  separately  only 
from  May  1970. 

ORGANOCHLORINE  COMPOUNDS 

Water  samples  of  1000  ml,  including  silt,  were  extracted 
successively  with  200,  100,  and  100  ml  of  petroleum 
ether  (boiling  range,  40°-60''C).  The  combined  ex- 
tracts were  dried  over  anhydrous  sodium  sulfate  and 
concentrated  to  about  5  ml  in  a  Kiidcrna-Danish  evapo- 
rative concentrator.  The  last  few  milliliters  of  solvent 
were  evaporated  to  exactly  1  ml  by  a  gentle  stream  of 


nitrogen  at  room  temperature.  The  concentrated  ex- 
tract was  added  to  a  microcolumn  containing  2.00  g 
basic  alumina  (W-200,  activity  Super  I,  Woelm).  Be- 
fore use,  the  microcolumn  was  activated  for  16  hours 
at  150°C,  and  then  deactivated  with  11  percent  water 
(11  g  water  +  89  g  ahmiina). 

The  column  was  eluted  with  5  ml  of  petroleum  ether  to 
produce  Eluate  A  containing  HCB,  «-  and  7-BHC, 
heptachlor  epoxide  (about  10  percent),  /;,/;'-DDF.,  o,p'- 
DDI.  TDE,  /).//-DDT,  telodrin,  isodrin.  aldrin,  and 
heptachlor.    The   receiving  tube  was  changed  and  a 


150 


Pesticides  Monitoring  Journal 


second  elution  was  carried  out  with  10  ml  of  a  20:80 
(v/v)  mixture  of  ethyl  ether-petroleum  ether  to  pro- 
duce Eluate  B  containing  /J-BHC.  heptachlor  epoxide 
(about  90  percent),  dicldrin,  and  endrin.  The  eluates 
were  concentrated  to  exactly  1  ml  by  a  gentle  stream  of 
nitrogen  at  room  temp>erature. 

To  determine  a-  and  fi-endosulfan,  a  microcolumn  con- 
taining 2.00  g  60-200-mesh  silica  gel  (Fisher  S  661) 
activated  for  2-3  hours  at  140°C  was  used.  The  column 
was  eluted  first  with  8  ml  of  a  80:20  (v/v)  mixture 
of  hexane-toluene  and  next  with  8  ml  of  a  40:60  (v/v) 
mixture  of  hexane-toluene  and  8  ml  toluene;  «-  and 
/J-endosulfan  were  present  in  the  second  eluate.  One-Ml 
portions  of  the  concentrated  eluates  were  injected  into 
the  gas  chromatographs.  Instrument  parameters  and 
operating  conditions  follow: 


(I  )  Model  1800  Varian  Aerot!raph 
Detector: 
Column: 


Temperatures: 


tritium  electron-capture 

180  cm  X  0.3  cm  ID  Pyrcx.  packed  with  a 
mixture  of  5  percent  OV-210  and  5  percent 
OV-17  (4+1)  on  80-IO(l-mesh  Cliromosorb 
W-HP 

injection  port  205^0 
oven   190°C 
detector  200°C 
nitrogen  flowing  at  40  ml/minute 


Carrier  gas 
(2)  Perkin-Elmer  Model  F  22  gas  chromatograph 


Detector: 
Column: 

Temperatures: 


Carrier  gas: 


"■'Ni  electron-capture 

40  m    X    0..15  mm  ID  Pyrex  capillary,  coated 

with  SE-30  (CiC  grade) 

injection  port  215''C 

oven  155°-225°C  at  3°C/minutc  with 
a    linear    temperature  program- 
mer 
detector  250°C 

helium     (lowing    at     2-3    ml/minute;     helium 

splitting  gas  flow  of  0-60  ml/minute;  nitrogen 

purge  gas  flow  of  80  ml/minute 


The  practical  lower  limit  of  detectability  was  0.01  ppb. 
Recovery  data,  obtained  by  spiking  river  water  samples 
with  the  pesticides  and  carrying  them  through  the  entire 
analytical  procedure,  were  over  90  percent.  Results  arc 
not  corrected  for  recovery.  To  confirm  the  identity  of 
the  pesticides,  p-values  or  chemical  conversions  were 
used,  such  as  the  quantitative  conversion  of  o.^'-DDT 
and  p.p'-DDT  to,  respectively,  o.p'-DDE  and  p,p'-DDE 
by  treatment  with  MgO,  the  disappearance  of  dieldrin 
and  endrin  by  treatment  with  concentrated  sulfuric  acid, 
and  the  peak  shift  for  endosulfan  under  the  influence 
of  alkali  (6). 

AROMATIC  AMINES 

The  sums  of  aromatic  amines  and  their  derivatives  were 
determined  colorimetrically  (10).  Concentrations  are 
expressed  as  3.4-dichloroaniline.  The  practical  lower 
limit  of  detectability  was  0.5  ppb. 

CHOLINESTERASE   INHIBITORS 

Colorimetric  determination  of  cholinesterase  inhibitors 
was  performed  in  a  methylene  chloride  extract  of  the 
sample  on  an  AutoAnalyzcr  (^).    The  enzyme  source 


was  freeze-dried  human  plasma.  Concentrations  were 
calculated  as  paraoxon  equivalents.  The  practical  lower 
limit  of  detection  was  0.2  ppb. 

Resutts 

The  20,000  data  points  collected  in  the  monitoring  pro- 
gram during  1969-75  are  summarized  in  Tables  1-7. 
In  view  of  the  low  frequency  of  occurrence  and  the  low 
concentrations  found,  the  concentrations  of  p-BHC, 
aldrin,  heptachlor,  heptachlor  epoxide,  endrin,  TDE, 
o.p'-UDT.  p.p'-DDE,  and  p.p'-DDT  are  not  given  in  the 
tables.  Unless  stated  otherwise,  all  extracts  of  water 
samples   included  silt. 

The  Rhine  River  was  studied  in  more  detail  than  the 
other  Dutch  surface  waters.  Samples  were  taken  weekly 
near  Lobith  at  sampling  site  45  (Fig.  1).  The  geo- 
graphical distribution  of  HCB,  and  o-  and  t-BHC  in 
the  Rhine  River  is  illustrated  in  Figures  2-4  for  the 
southern  branch  of  the  river,  Rhine-Boven  Merwede- 
Nieuwe  Waterweg. 

Discussion 
The  data  in  Tables  1-7  indicate  that  the  highest  con- 
centrations of  pesticides  and  related  substances  are 
found  in  the  Rhine  River  and  its  tributaries.  The  highest 
concentrations  in  the  Maas  River,  compared  below,  are 
much  lower. 

Residue,  ppb 

Maas  River 

0.29 
0.07 
0.18 
0.03 
0.09 
1.7 
2.4 

Levels  in  other  waters  were  lower  still  or  not  detected. 

HCB  and  o-  and  7-BHC  were  almost  always  present  in 
the  Rhine  water  samples.  Median  values  in  ppb  varied 
during  1969-75  as  follows:  HCB,  0.06-0.14;  a-BHC, 
0.06-0.22;  and  7-BHC,  0.04-0.13.  Concentrations  of 
the  by-product.  o-BHC,  are  higher  than  those  of  the 
commercial  product,  7-BHC.  This  means  cither  that 
significant  amounts  of  a-BHC-containing  products, 
which  have  been  banned  for  years,  are  still  used  along 
the  Rhine  or  that  industry,  rather  than  agriculture,  is 
the  main  source  of  pollution.  Because  the  source  of 
contamination  is  located  across  the  German  border,  it 
was  not  possible  to  determine  the  exact  source  of  the 
BHC  discharge.  BHC  has  had  only  limited  use  as  a 
fungicide.  Since  July  1974,  the  concentrations  of  o- 
and  7-BHC  in  the  Rhine  have  decreased  considerably. 
Median  values  of  a-  and  7-BHC  in  1974  were  0.22  ppb 
and  0.13  ppb,  respectively;  in  1975,  0.06  ppb  and  0.04 
ppb,  respectively.  The  levels  of  o-BHC  in  the  Rhine 
and  its  tributaries  are  considered  harmful  to  the  repro- 
duction of  Daplinia  magna  (water  flea)   (i). 


PliSIIClDF 

Rhine  River 

HCB 

0.55 

..-BHC 

0.60 

-BHC 

0.42 

Dieldrin 

0.06 

I-ndosulfan 

0.81 

Cholinesterase  inhibitors 

56 

Aromatic  amines 

10 

Vol.  12,  No.  3,  December  1978 


151 


TABLE    1.     Concentrations  of  BHC,  dieUiiin.  endosidjan,  and  cholincsterasc  inhibitors  in  Dutch  samples,  1969 


Residues,  ppb 

tt- 

AND  P- 

Cholinesterase 

» 

-BHC 

DiELDRIN 

Endosulfan 

Inhibitors' 

TVPLS  OI 

Water 

No.  OF 
Samples 

Sampling  Site 

No. 

Max 

Med 

Max 

Med 

Max 

Med 

Max 

Med 

Surface  water  for  drinking  water 

preparation 

Braakman 

1 

raw  water 

2 

— 

— 

0.01 

— 

— 

— 

Berenplaai 

2 

raw  water 

4 

0.16 

0.06 

0.01 

— 

0.03 

— 

3.02 

1.03 

Bcrenplaat 

2 

treated  water 

4 

0.1)2 

— 

0.01 

— 

— 

— 

0.17 

0.17 

Drentse  A 

3 

raw  water 

3 

— 

— 

— 

— 

— 

— 

Locnerveense  Plas 

4 

raw  water 

3 

— 

— 

0.01 

0.01 

— 

— 

Wantij 

6 

raw  water 

3 

0.09 

0.05 

0.01 

— 

0.11 

0.09 

5.20 

1.82 

IJsselmeer,  Andijk 

7 

raw  water 

4 

— 

— 

0.04 

— 

0.01 

— 

IJsselmeer.  Andijk 

7 

treated  water 

4 

— 

— 

0.04 

— 

0.0 1 

— 

Surface  water  for  infiltral 

ion 

Amsterdam-Rijnkanaal 

8 

raw  water 

2 

0.112 

0.01 

— 

— 

0.17 

0.14 

1.42 

1.06 

Amsterdam-Rijnkanaal 

8 

raw  water  - 

1 

— 

— 

— 

— 

0.06 

0.06 

1.20 

1.20 

Lek 

9 

raw  water 

t 

0.03 

0.02 

— 

— 

0.10 

0.09 

1.38 

1.09 

Lek 

9 

raw  water - 

1 

— 

— 

— 

— 

— 

— 

1.52 

1.52 

Enschede 

10 

raw  water" 

3 

0.15 

0.02 

0.01 

— 

— 

— 

0.05 

0.05 

St.  Jansteen 

11 

raw  water 

3 

— 

— 

0.02 

0.01 

— 

— 

St.  Jansteen 

U 

treated  water 

1 

0.01 

0.01 

0.03 

0.03 

0.03 

0.03 

Valkenburgse  Watering 

15 

raw  water 

4 

0.03 

0.02 

0.02 

— 

0.05 

— 

0.32 

0.22 

IJsselmeer  region 

IJsselmeer.  Staveren 

25 

surface  water 

1 

0.03 

0.03 

— 

— 

— 

— 

IJsselmeer.  Y-2 

27 

surface  water 

1 

— 

— 

— 

— 

— 

— 

IJsselmeer.  Steile  Bank 

28 

surface  water 

1 

0.02 

0.02 

— 

— 

— 

— 

Maas  and  tributaries 

Maas.  Eijsden 

35 

surface  water 

7 

0.08 

0.02 

— 

— 

0.09 

— 

0.44 

0.22 

Roer 

42 

surface  water 

2 

o.o; 

0.01 

0.01 

— 

— 

— 

Niers 

43 

surface  water 

3 

0,11 

0.03 

0.02 

0.0! 

0.13 

0.06 

0.19 

0.18 

Rhine  and  tributaries 

Rhine 

45 

surface  water 

17 

0.24 

0.18 

0.04 

— 

0.81 

0.24 

10.67 

2.46 

Kromme  Rijn 

47 

surface  water 

6 

0.08 

0.02 

0.02 

— 

0.04 

— 

2.04 

1.00 

Other  surface  waters 

Ooslermoerse  Vaart 

57 

surface  water 

4 

0.01 

— 

0.02 

— 

— 

— 

Boomawetering 

76 

surface  water 

8 

0.09 

— 

0.02 

0.01 

0.01 

— 

0.57 

0.42 

Rijnbeek 

82 

surface  water 

4 

— 

— 

0.01 

— 

— 

— 

0.52 

0.52 

Lage  Vaart.  Colijn 

85 

surface  water 

12 

0.05 

— 

0.06 

0.01 

0.09 

— 

Hoge  Vaart,  Colijn 

86 

surface  water 

24 

0.08 

— 

0.08 

— 

0.10 

— 

Lage  Vaart.  Wortman 

89 

surface  water 

29 

11.10 

— 

0.14 

— 

0.09 

— 

Larser  Vaart 

90 

surface  water 

13 

— 

— 

0.08 

0.02 

— 

— 

Wortmanvaart 

92 

surface  water 

12 

— 

— 

0.03 

0.01 

— 

— 

NOTE:   /i-BHC.  aldnn.  hcptachlor.  heptachlor  epoxide,  endrin.  and   ZDDT  were  detected  occasionally  in  low  concentrations;  —  =  not  detected. 

Unless  stated  otherwise,  all  water  samples  included  silt. 
'As  paraoxon-equivalenis. 
-After  rapid  filtration. 
'Before  infiltration. 


152 


Pf.sticidis  Moniidrinc.  Journal 


TABLE  2.     Concentrations  of  HCB,  BHC,  dieldrin.  entlosulfan.  and  choUnc.sterase  inhibitors  in  Dutch  water  samples,  1970 


|M«   . 

Residues,  ppb 

^'        Hi 

„. 

and  /i- 

Chomnesterase 

No. 

TVPES  OF 

Water 

Sak 

PLE 

CB 

«■ 

BHC 

T- 

BHC 

DtEL 

DRIN 

Endosulfan 

Inhibitors^ 

Sampling  Site 

s  Max 

Med 

Max 

Med 

Max 

Med 

Max 

Med 

Max 

Med 

Max 

Med 

Surface  water  for  drinking 

water  preparation 

Braakman 

1 

raw  water 

2 

0.02 

— 

0.02 

0.01 

0.02 

0.01 

0.02 

0.01 

0.03 







Berenplaat 

2 

raw  water 

2 

— 

— 

0,17 

0.12 

0.09 

0.07 

0.03 

_ 

0.07 

— 

0.80 

0.30 

Drentse  A 

3 

raw  water 

2 

— 

— 

— 

— 

0.02 

0.01 





0.02 



0.18 

0.06 

Loenerveense  Plas 

4 

raw  water 

1 

— 

— 

— 

— 

— 

— 





0.03 



Oud-Beijerland 

5 

raw  water 

2 

0.03 

— 

0.17 

0.12 

0.06 

0.05 

0.01 



0.12 



1.08 

0.83 

Oud-Beijerland 

5 

treated  water 

2 

0.01 

— 

0.13 

0.09 

0.07 

0.06 

0.02 

— 

0.04 

— 

0.79 

0.50 

Wantij 

6 

raw  water 

}. 

0.08 

0.05 

0.18 

0.15 

0.12 

0.11 





0.04 



2.00 

0.63 

Wantij 

6 

treated  water 

2 

0.01 

— 

0.06 

0.06 

0.05 

0.05 

0.02 

_ 

(1.03 

— 

0.45 

0.20 

IJsselmeer,  Andijk 

7 

raw  water 

3 

— 

— 

0.02 

0.02 

0.02 

0.01 

0.01 



0.07 



0.27 

0.06 

IJsselmeer,  Andijk 

7 

treated  water 

3 

— 

— 

0.02 

0.01 

0.02 

0.01 

0.02 

— 

0.05 

— 

0.17 

0.07 

Surface  water  for  infiltration 

Amsterdam-Rijnkanaal 

8 

raw  water 

3 

0.05 

0.03 

0.13 

0.08 

0.13 

0.08 

0.01 



0.05 



0.82 

0.52 

Amsterdam-Rijnkanaal 

8 

raw  water - 

3 

0.03 

0.02 

0.15 

0.10 

0.18 

0.11 

0.01 

0.01 

0.04 

_ 

0.82 

0.42 

Lek 

9 

raw  water 

3 

0.04 

0.02 

0.16 

0.08 

0.20 

0.10 

0.02 

0.01 

0.07 

— 

1.10 

0.36 

Lek 

9 

raw  water - 

3 

0.03 

0.02 

0.17 

0.10 

0.20 

0.11 

0.01 

— 

0.05 

— 

1.05 

0.40 

Enschede 

10 

raw  water-' 

3 

— 

— 

0.50 

0.32 

0.05 

0.02 

0.02 

0.02 

0.05 

— 

0.07 

0.06 

Enschede 

10 

raw  water - 

3 

— 

— 

0.14 

0.12 

— 



0.01 



0.04 







St.  Jansteen 

11 

raw  water 

3 

0.01 

— 

0.01 

— 

O.OI 



0.02 



0.03 







Valkenburgse  Watering 

15 

raw  water 

6 

— 

— 

— 

— 

— 

— 

0.01 

— 

0.03 

— 

0.75 

0.34 

Groundwater 

Bilthoven 

18 

groundwater 

-> 

— 

— 

— 

— 

— 

- 

- 

— 

— 

— 

— 

— 

Coastal  waters 

Waddenzee 

22 

surface  water 

3 

— 

— 

0.01 

- 

0.01 

— 

0.01 

- 

0.10 

- 

0.15 

0.08 

IJsselmeer  region 

Usselmeer,  Y-1 

26 

surface  water 

2 

0.01 

— 

0.03 

0.02 

0.04 

0.03 

0.01 

— 

0.05 

0.02 

0.34 

0.21 

Kelelmeer.  Y-14 

31 

surface  water 

1 

o.ii: 

0.02 

0.23 

0.23 

0.13 

0.13 

— 

— 

0.04 

0.02 

0.63 

0.49 

Usselmeer,  Y-104 

34 

surface  water 

2 

0.01 

— 

0.03 

0.03 

0.04 

0.04 

0.01 

— 

0.01 

— 

0.24 

0.22 

Maas  and  tributaries 

Maas,  Eysden 

35 

surface  water 

8 

0.04 

— 

0.03 

— 

0.06 

0.02 

0.01 

— 

0.03 

— 

0.50 

0.22 

Roer 

42 

surface  water 

5 

0.02 

— 

0.02 

0.01 

0.05 

0.04 

0.01 

— 

0.03 

— 

0.12 

0.06 

Niers 

43 

surface  water 

6 

0.01 

— 

0.06 

o.o: 

0.05 

0.03 

tl.Ol 

— 

0.04 

— 

0.11 

0.06 

Rhine  and  tributaries 

Rhine 

45 

surface  water 

51 

11.39 

0.08 

0.26 

0.14 

0.16 

0.08 

0.04 

_ 

0.40 

0.03 

4.01 

0.72 

Kromme  Rijn 

47 

surface  water 

6 

0.02 

— 

0.15 

0.05 

0.11 

0.05 

0.03 

— 

0.03 

— 

2.08 

0.40 

Other  surface  waters 

Ruilen  A 

52 

surface  water 

5 

0.01 

— 

— 

— 

— 

— 

0.01 

— 

0.02 

— 

0.10 

0.05 

Overijsselse  Vecht 

60 

surface  water 

4 

— 

— 

— 

— 

— 

— 

0.01 

— 

0.03 

— 

0.09 

— 

ditch.  A.Paulowna 

68 

surface  water 

5 

— 

— 

0.01 

— 

— 

— 

0.02 

0.01 

— 

— 

0.33 

0.10 

ditch,  HiUegom 

69 

surface  water 

2 

— 

— 

0.0.1 

0.02 

0.01 

— 

_ 

— 

— 

— 

0.22 

0.18 

ditch,  Hillegom 

70 

surface  water 

2 

— 

— 

0.04 

0.02 

0.01 

— 

0.04 

0.04 

— 

— 

0.37 

0.18 

ditch,  Hillegom 

71 

surface  water 

2 

— 

— 

0.01 

— 

— 

— 

— 

— 

— 

— 

0.34 

0.17 

ditch,  Hoogeveen 

72 

surface  water 

2 

— 

— 

— 

— 

— 

— 

0.02 

0.01 

— 

— 

0.32 

0.22 

Leidse  Vaart,  Lisse 

73 

surface  water 

2 

— 

— 

— 

— 

0.02 

0.02 

0.03 

0.02 

— 

— 

0.26 

0.16 

ditch.  Noordwijkerhout 

74 

surface  water 

2 

0.01 

— 

— 

— 

— 

— 

0.08 

0.06 

— 

— 

0.21 

0.10 

leidse  Vaart,  Dc  Zilk 

75 

surface  water 

t 

— 

_ 

0.01 

— 

0.05 

0.02 

0.04 

0.03 

— 

— 

0.22 

0.16 

Boomawetering 

76 

surface  water 

5 



— 

0.03 

0.01 

0.04 

0.02 

0.03 

— 

0,15 

0.01 

0.40 

0.12 

Rijnbeek 

82 

surface  water 

6 

D.MI 

_ 

0.02 

— 

0.03 

0.01 

0.01 

— 

0.05 

0.03 

0.53 

0.10 

Lage  Vaart,  Colijn 

85 

surface  water 

5 

— 

— 

0.02 

0.01 

0.02 

0.01 

0.02 

0.01 

0.02 

— 

0.23 

0.06 

Hoge  Vaart,  Colijn 

86 

surface  water 

5 

tl.Ol 

— 

0.06 

0(>2 

0.04 

0.02 

0.02 

0.01 

0.02 

0.01 

0.24 

Lage  Vaart,  De  Block 

van  KufTeler 

87 

surface  water 

5 

0.04 

_ 

0.02 

0.01 

0.03 

0.02 

0.03 

0.01 

0.04 

— 

0.1  1 

0.05 

ditch,  N.O. polder 

91 

surface  water 

1 

— 

_ 

_ 

— 

— 

— 

0.07 

0.07 

0.07 

0.07 

0.14 

0.14 

Wortman 

92 

surface  water 

5 

0.01 

0.01 

0.03 

0.02 

0.03 

0.03 

0.01 

— 

0.03 

— 

0.13 

0.12 

NOTE:   See  NOTE.  Table  1. 

'As  paraoxon-equivalents. 
-After  rapid  tiltralion. 
'Before  intiltralion. 


Vol.  12,  No.  3,  December  1978 


153 


TABLE  3.     Concvntralions  of  HCB,  BHC,  tlieUlrin.  ciuiosiilfan,  and  cholinesterasc  inhibitors    in  Dutch  water  samples,  1971 


Residues,  ppb 


Sampling  She 


Types  of 
No.       Water 


No.  OF 

Sam- 
ples 


HCB 


re-BHC 


-BHC 


DiELDRIN 


n-  AND  ff-         CHOLINESTERASE 

Endosulfan        Inhibitors' 


Max       Med       Max       Mf.d       Max 


Med 


Max       Med      Max       Med 


Max       Med 


Surface  water  for  ilrinkinti  water  preparation 
IJsselmeer       7      raw  water 


Surface  water  for  infiUration 

Enschede  10 

Enschede  10 

Valkenburgsc  Waterinp  15 

Groundwater 

Bilihovcn  18 

Haarlem  l") 

Hillcgom  21) 

IJsselmeer  region 

Ketelmecr,  Y-14  .11 

Kelelhaven  32 

Maas  and  tributaries 

Maas.  Eysden  }5 

Maas,  Urmond  36 

Maas.  Maasbracht  37 

Maas.  Kessel  38 

Rocr  42 

Niers  43 

Rhine  and  tributaries 

Rhine 


raw  water - 
raw  water'' 
raw  water 


12     0.01 


5       — 

5  — 

6  0.01 


groimdwater  1 
groundwater  1 
groundwater       I 


surface  water 
surface  water 


surface  water 
surface  water 
surface  water 
surface  water 
surface  water 
surface  water 


Other  surface  waters 

Winschoterdiep  51  surface  water  5 

Bagniolenbeek  58  surface  water  I 

Regge  63  surface  water  3 

Twentekanaal,  Almelo  64  surface  water  3 

Twentekanaal,  bovenpand  65  surface  water  3 

Lage  Vaart,  Colijn  85  surface  water  6 

Hoge  Vaart,  Colijn  86  surface  water  6 

Lage  Vaart,  Wortman  89  surface  water  6 


11.13 


0.15 
0.38 


0.02 


0.06 
0.06 


0.20 


0.03 
11.02 


0.03 


0.01 


0.02 


0.03 


0.02" 
0.03 


0.02 


0.01 


11.01 
0.03 


U.05 
11.02 
0.01 
0.01 
0.01 
0.01 


45     surface  water    52     0.52 


0.02 


0.01 
0.01 


0.14 


0.13 
0.18 


0.01 


0.05 
0.12 


0.01 


0.01  0,01 

0.01  — 

0.02  0.01 

0,08  0.02 


0.48 


—  0.06 


0.16 


0.06 


0.10 
0.14 


0.03 
0.01 
0.12 
I).  1  3 
0.02 
0.03 


0.34 


0.03 
0.06 


0.01 
11,01 


O.OI 
0.02 


0.03         0.01 
0.06  — 


0.03 
0.05 
0.02 
0.03 
0.02 
0.06 


0.06 


0.04 
0.01 
0.02 


0.01 
0,04 


0.01  — 


0.07 
0.02 
0.02 


0,25 


0.02  —  — 


0.01 


0.01 

0.01 

0.01 

— 

0.02 

0.13 

0.10 

0.211 

0.01 

— 

0.04 

0.01 

0.02 

0.01 

0.02 

O.OS 

0.04 

0,05 

0.04 

0.02 

0.03 

0.02 

U.02 

0,01 

0.04 

0.02  —  — 


0.03 


0.20 


1.18 


0,08 


0.40 


0,40 

0,19 

1.26 

0,33 

0,25 

0.08 

0,08 

OM 

0.20 

— 

0,18 

— 

0.12 

0,08 

0.08 

0,08 

2.00        0.16 


0.56 

0.12 

0.74 

0.38 

0.14 

0.12 

0,50 

OM 

0,40 

0.09 

-0,46 

0.23 

0.32 

— 

NOTE:  See  NOTE.  Table  1. 
'As  paraoxon-eqiiivalenls. 
-Before  infiltration. 
^After  rapid  filtration. 


154 


Pesticidrs  M0NITOKIN6  Journal 


TABLE  4.     Concentrations  of  HCB,  BHC,  dieUrin,  endosulfan,  and  cholinesterase  inhibitors  in  Dutch  water  samples,  1972 


Residues,  ppb 


Sampling  Site 


No. 


No.  OF 
Types  of      Sam- 
Water         PLEs    Max 


HCB 


tt-BHC 


V-BHC 


DiELDRIN 


o-  AND  P-      Cholinesterase 
Endosulfan        Inhibitors  i 


Med      Max       Med        Max       Med        Max       Med        Max       Med       Max 


Meo 


Surface  water  for  drinking  water  preparation 
Usselmeer,  Andijlc      7     raw  water 


Surface  water  for  infiltration 
Enschede     10 
Enschede     10 
Valkenburgse  Watering     15 


12    0.01 


0.05         0.02        0.04        0.02 


0.05 


0.01  — 


raw  water" 

6 

0.01 

— 

0.17 

0.10 

0.02 

0.02 

0.05 



raw  water ' 

6 

0.01 

— 

0.09 

0.06 

0.01 

0.01 





raw  water 

9 

0.03 

— 

0.04 

0.02 

0.03 

0.02 

0.02 

— 

0.44        0.24 


—         3.52 


0.76 


Rainwater 

Bilthoven 

17 

rainwater 

8 

0.01 

— 

0.50 

0.02 

0.06 

0.02 

0.01 

Usselmeer  region 

Usselmeer,  Y-2 

27 

surface  water 

11 

0.01 

— 

0.05 

0.02 

0.05 

0.03 

0.02 

Usselmeer,  Y-2 

27 

surface  water^ 

4 

0.03 

— 

0.04 

0.03 

0.03 

0.02 

0.02 

Usselmeer,  Y-10 

29 

surface  water 

11 

0.05 

— 

0.25 

0.03 

0.20 

0.03 

0.03 

Usselmeer,  Y-10 

29 

surface  water  s 

4 

0.02 

0.01 

0.24 

0.06 

0.20 

0.05 

0.02 

Usselmeer,  Y-12 

30 

surface  water 

11 

0.20 

0.01 

0.20 

0.07 

0.20 

0.05 

0.02 

Usselmeer,  Y-12 

30 

surface  water  ^ 

4 

0.03 

0.01 

0.12 

0.12 

0.13 

0.08 

0.04 

Ketelhaven 

32 

surface  water 

11 

0.08 

0.04 

0.20 

0.12 

0.22 

0.10 

0.02 

Ketelhaven 

32 

surface  water  ^ 

4 

0.04 

— 

0.16 

0.09 

0.19 

0.14 

0.02 

Usselmeer,  Y-20 

33 

surface  water 

11 

0.06 

0.01 

0.08 

0.02 

0.08 

0.03 

0.03 

Usselmeer,  Y-20 

33 

surface  water  ^ 

4 

0.01 

— 

0.02 

0.02 

0.03 

0.02 

0.05 

Maas  and  tributaries 

Maas,  Eijsden 

35 

surface  water 

11 

0.03 

0.01 

0.07 

0.01 

0.07 

0.02 

0.01 

Maas,  Grave 

39 

surface  water 

12 

0.02 

— 

0.08 

0.01 

0.13 

0.02 

0.01 

Maas,  Keizersveer 

41 

surface  water 

12 

0.01 



0.06 

0.01 

0.18 

0.02 

0.02 

Roer 

42 

surface  water 

12 

0.01 

_ 

0.09 



0.04 

0.02 

0.02 

Niers 

43 

surface  water 

12 

0.08 

0.0 1 

0.15 

0.08 

0.06 

0.04 

0.08 

Dieze 

44 

surface  water 

10 

0.05 

— 

0.06 

0.01 

0.07 

0.03 

0.02 

Rhine  and  tributaries 

Rhine 

45 

surface  water 

52 

0.37 

0.13 

0.57 

0.16 

0.28 

0.11 

0.02 

Other  surface  waters 

Zuidlaardermeer 

53 

surface  water 

6 

0.01 

— 

0.01 

— 

0.01 

— 

0.01 

Lauwersmeer 

54 

surface  water 

6 

0.03 

— 

0.01 

— 

0.01 

— 

O.OI 

Van  Starkenborghkanaal 

55 

surface  water 

6 

0.03 

— 

0.02 

— 

0.02 

0.01 

0.01 

Meppelerdiep 

56 

surface  water 

6 

0.02 

— 

0.02 

— 

0.02 

— 

0.01 

Regge.  bovenloop 

61 

surface  water 

3 

Regge,  benedenloop 

62 

surface  water 

3 

0.02 

0.02 

0.11 

0.06 

0.05 

0.04 

0.01 

Twentekanaal,  bovenpand 

65 

surface  water 

2 

— 

— 

0.44 

0.22 

0.02 

0.01 

0.01 

Eem 

66 

surface  water 

6 

0.01 

— 

0.08 

0.05 

0.06 

0.04 

0.01 

Vecht 

67 

surface  water 

6 

0.01 

— 

0.06 

0.03 

0.05 

0.02 

— 

Lage  Vaart,  Colljn 

85 

surface  water 

7 

0.01 

— 

0.01 

— 

0.02 

0.01 

0.03 

Hoge  Vaart,  Coliin 

86 

surface  water 

7 

0.01 

— 

0.08 

0.02 

0.09 

0.01 

0.01 

Lage  Vaart,  De  Block 

van  Kuffeler 

87 

surface  water 

7 

0.03 

— 

0.01 

— 

0.02 

— 

— 

Hoge  Vaart,  De  Block 

van  Kuffeler 

88 

surface  water 

7 

0.01 

— 

0.03 

0.01 

0.04 

0.02 

0.01 

Lage  Vaart,  Wortman 

89 

surface  water 

7 

0.01 

— 

0.01 

0.01 

0.02 

0.02 

O.OI 

0.02 


0.02  — 


0.01 
O.OI 
0.01 
0.09 
0.02 


—         0.03 


0.42 

0.13 

1.10 

0.25 

2.44 

0.48 

1.18 

0.76 

1.94 

0.17 

0.44 

0.14 

— 

0.16 

0.07 

0.50 

— 

0.12 

— 

0.32 

0.14 

2.36 

0.73 

0.12 



— 

— 





0.22 

0.07 

O.U 

— 

0.06 

— 

1.72 

0.17 

0.64 

0.06 

0.06 

— 

0.52 

0.06 

0.14 

0.36 

NOTE:   See  NOTE,  Table  1. 
lAs  paraoxon-equivalents. 
^Before  infiltration. 
'After  rapid  filtration. 


Vol.  12,  No.  3,  December  1978 


155 


TABLE  5.      Concentrations  of  HCB,  BHC,  dieldrin,  endosulfan,  and  cholinesterase  inhibitors  in  Dutch  water  samples,  1973- 


Residues,  ppb 


Sampling  She 


No. 


No.  OF 
Types  of      Sam- 
Water         PLES  Max 


HCB 


rt-BHC 


7-BHC 


Dieldrin 


ft-  AND  /J-       Cholinesterase 
Endosulfan        Inhibitors^ 


Med       Max        Med       Max        Med        Max        Med        Max        Med 


Max 


Med 


Surface  water  for  drinking  water  preparation 
Usselmeer.  Andijk       7     raw  water 


9     11. til  — 


0.10         0.03 


0.08         0.03 


—  0.01  — 


1.10 


0.12 


Surface  water  for  infiltration 

Enschede 

10 

raw  water - 

6 

— 

- 

0.09 

0.04 

— 

— 

— 

- 

— 

—           1.90 

— 

Rainwater 

Bilthoven 

17 

rainwater 

13 

— 

— 

0.03 

0.01 

0.05 

0.02 

0.02 

— 

— 

— 

Coastal  waters 

Bocht  van  Waium 

->l 

surface  water 

3 

— 

— 

0.01 

— 

0.05 

0.01 

— 

— 

— 

—          0.06 

— 

Weslerschelde.  Schaar 

van  Ouden  Doel 

23 

surface  water 

13 

11.03 

0.01 

0.10 

0.01 

0.12 

0.04 

0.01 

— 

— 

—           0.68 

0.32 

Weslerschelde.  Hansweert 

24 

surface  water 

13 

11.07 

— 

0.03 

— 

0.14 

0.03 

0.01 

— 

— 

—           0.60 

0.08 

Usselmeer  region 

Usselmeer,  Y-2 

27 

surface  water 

12 

0.01 

— 

0.14 

0.04 

0.13 

0.03 

— 

— 

— 

—           2.64 

0.20 

Usselmeer,  Y-10 

29 

surface  water 

13 

U.Ol 

— 

0.10 

0.05 

0.06 

0.04 

— 

— 

— 

—            1.65 

0.50 

Ketelhaven 

32 

surface  water 

11 

0.08 

0.02 

0.23 

0.10 

0.19 

0.09 

— 

— 

0.07 

—          5.10 

1.88 

Maas  and  iributaries 

Maas,  Eijsden 

35 

surface  water 

13 

0.29 

0.01 

0.02 

0.01 

0.05 

0.01 

— 

— 

0.01 

—           1.65 

0.06 

Maas,  Grave 

39 

surface  water 

12 

0.03 

0.01 

0.19 

0.02 

0.12 

0.02 

— 

— 

— 

-           1.26 

— 

Maas,  Keizersveer 

41 

surface  water 

13 

0.04 

0.01 

002 

0.01 

0.06 

0.02 

— 

— 

— 

—           1.62 

0.06 

Roer 

42 

surface  water 

1 

— 

— 

Niers 

43 

surface  water 

1 

— 

— 

Dieze 

44 

surface  water 

1 

— 

— 

Rhine  and  tributaries 

Rhine 

45 

surface  water 

52 

0.55 

0.08 

0.45 

0.19 

0.42 

0.12 

0.02 

— 

0.10 

—        15.80 

2.42 

Boven  Merwede 

48 

surface  water 

24 

0.10 

0.03 

0.36 

0.15 

0.23 

0.11 

0,01 

— 

0.02 

—           4.40 

1.46 

Nieuwe  Waterweg 

50 

surface  water 

13 

0.06 

0.02 

0.35 

0.13 

0.21 

0.09 

0,01 

— 

11.01 

—           4.45 

1.24 

Other  surface  waters 

Twentekanaal,  Almelo 

64 

surface  water 

5 

— 

— 

0.03 

0.01 

0.01 

0.01 

— 

— 

0.01 

—          0.60 

— 

Twentekanaal,  bovenpand 

Roosendaalse  Vliet 

81 

surface  water 

1 

0.01 

— 

— 

— 

— 

— 

— 

— 

— 

—          0.18 

0.06 

Hoge  Vaart.  Colijn 

86 

surface  water 

6 

0.01 

— 

0.09 

— 

0.07 

— 

— 

— 

0.01 

—           1.16 

0.25 

Hoge  Vaart,  De  Block 

van  Kuffeler 

88 

surface  water 

6 

0.01 

— 

0.02 

— 

0.01 

— 

— 

— 

0.01 

—            — 

— 

NOTE:   See  NOTE,  Table  1. 

'As  paraoxon-eqiiivalents. 
-After  rapid  fiitralion. 


156 


PEsriciurs  Moniiorinc  Journal 


TABLE  6.    Concentrations  of  HCB,  BHC.  dicldrin,  cndosuljan.  cholincsterase  inhihitois,  and  aromatic  amines 

in  Dutch  water  sample,  1974 


Residues,  ppb 


Sampling  Site 


Types  of 
No.       Water 


HCB 


--BHC 


DiELDRIN 


No.  OF 

Sam-  -  

PLES    Max      Med     Max      Med      Max      Med      Max      Med     Max      Med      Max      Med     Max     Med 


7-BHC 


ft-  AND  P-      ChOLINESTERASE   AROMATIC 

Endosulfan      Inhibitors^       Amines- 


Surface  water  for  drinking  water  preparation 


Enschede  10 

Isabella  Wctering  12 

Pielers  v.d.Endevaart  13 

canal  near  Valkenburg  14 

Wijde  A  16 


Rainwater 


surface  water  '  5 

surface  water  5 

surface  water  6 

raw  water  6 

raw  water  6 


Bilthoven     17     rainwater 


0.01         —       0.15       0.07      0.02        — 


0.01 

— 

0.0.1 

0.01 

0.01 

— 

0.01 

— 

0.11 

0.06 

O.CS 

0.04 

0.22 

0.07 

0.09 

0.05 

0.01 


0.08       0.02       0.10       0.04         — 


1.32 
1.54 


0.05 
0.26 


1.0 
1 


8       0.5 


Coastal  waters 


Bocht  van  Watum 

21 

surface  water 

5 

— 

— 

0.01 

0.01 

0.05 

0.01 

IJsselmeer  region 

IJsselmeer.  Y-10 

29 

surface  water 

12 

0.01 

— 

0.12 

0.06 

0.10 

0.04 

Ketelhaven 

32 

surface  water 

U 

0.09 

0.04 

0.57 

0.14 

0.26 

0.07 

Maas  and  tributaries 

Maas,  Eijsden 

35 

surface  water 

12 

0.05 

0.01 

0.02 

0.01 

0.04 

0.02 

Maas,  Keizersveer 

41 

surface  water 

13 

0.02 

— 

0.03 

0.01 

0.05 

0.02 

Rhine  and  tributaries 

Rhine 

45 

surface  water 

50 

0.39 

0.10 

0.60 

0.22 

0.33 

0.13 

Boven  Merwede 

48 

surface  water 

12 

0.12 

0.06 

0.55 

0.28 

0.26 

0,12 

Hollandse  IJssel 

49 

surface  water 

6 

0.01 

— 

0.10 

0.03 

0.05 

0.04 

Nieuwe  Waterweg 

50 

surface  water 

11 

0.05 

0.03 

0.36 

0.21 

0.23 

O.Il 

Other  surface  waters 

Twentekanaal.  bovenpand 

65 

surface  water 

7 

0.05 



2.1 

0.58 

0.12 

0.05 

ditch.  Ouddorp 

78 

surface  water 

6 

0.01 

— 

0.01 

— 

0.01 

— 

Gentse  Vaart 

79 

surface  water 

6 

0.01 

_ 

0.01 

— 

0.02 

0.01 

Roosendaalse  Vliel 

81 

surface  water 

6 

— 

— 

0.01 

— 

0.02 

0.01 

Zwarle  Water  1 

83 

surface  water 

6 

— 

— 

0.01 

0.01 

0.16 

0.01 

Zwarte  Water  II 

84 

surface  water 

6 

— 

— 

0.09 

0.02 

0.04 

0.02 

Hoge  Vaart,  Colijn 

86 

surface  water 

6 

0.02 

— 

0.14 

0.01 

0.10 

— 

Hoge  Vaart.  De  Block 

van  Kuffeler 

88 

surface  water 

6 

0.01 

— 

0.02 

0.01 

0.03 

— 

—         0.8 


0.05 


1.36 

0.70 

4.6 

0.8 

3.34 

0.56 

15 

3.4 

0.50 

0.8 

1.64 

0.12 

1.0 

— 

3.64 

1.36 

8.6 

4.5 

3.36 

0.79 

16 

3.8 

1.16 

0.09 

1.0 

0.6 

2.40 

0.60 

5.8 

2.6 

0.83 

1.60 

— 

3.7 

— 

0.12 

— 

0.7 

— 

0.05 

— 

— 

— 

0.10 

— 

8.1 

— 

— 

— 

3.0 

0.6 

0.58 

— 

4.4 

0.7 

—  —  I.O 


NOTE:  See  NOTE.  Table  I. 
'As  paraoxon-equivalents. 
-As  3.4-dichloroaniline-equivalents. 
■■'Before  infiltration. 

TABLE  7.    Concentrations  of  HCB,  BHC,  dicldrin,  endosulfan,  cholincsterase  inhibitors,  and  aromatic  amines 

in  Dutch  water  samples,  1975 


Sampling  Site 


No. 


Types  of 
Water 


Residues,  ppb 


HCB 


ft-BHC 


7-BHC 


DiELDRIN 


ft-  and  /?-     cholinesterase  aromatic 
Endosulfan      Inhibitors'       Amines^ 


No.  of 
Sam-  _ 
PLES    Max      Med     Max      Med      Max      Med      Max      Med     Max      Med      Max      Med     Max     Med 


Rainwater 


Bilthoven     17     rainwater 


10     0.01 


0.03       0.02       0.04       0.03         — 


Maas  and  tributaries 

Maas,  Eijsden  35 

Maas,  Lith  40 

Rhine  and  tributaries 

Rhine  45 

IJssel  46 

Boven  Merwede  48 

Nieuwe  Walerweg  50 

Other  surface  waters 

Overijsselse  Vecht  59 

Twentekanaal,  Almelo  64 

Twentekanaal,  bovenpand  65 

polder  ditch  77 

Cirole  Kreck  80 

Zwarle  Water  I  83 

Zwarte  Water  II  84 


surface  water     13 
surface  water     13 


surface  water 
surface  water 
surface  water 
surface  water 


surface  water 
surface  water 
surface  water 
surface  water 
surface  water 
surface  water 
surface  water 


0.02 
0.02 


0.21 
0.06 
0.10 
0.02 


0.01 
0.08 


0.06 
0.03 
0.03 
O.OI 


0.01 
0.03 


0.21 
0.09 
0.13 
0.09 


0.01       0.03       0.02 
O.OI       0.07       0.02 


0.06  0.14  0,04 

0.03  0.06  0.03 

0.05  0.07  0.03 

0.04  0.09  0.03 


0.06 

0.04 

0.04 

0.02 

1.40 

0.47 

0.04 

0.04 

0.02 

— 

0.01 

— 

0.02 

0.01 

0.02 

O.OI 

0.01 

— 

0.O2 

O.OI 

0.30 

0.04 

0.09 

0.02 

0.02 


0.02 


NOTE:   See  NOTE.  Table  1. 

'As  paraoxon-equivalents. 

-As  3,4-dichloroaniline-equivalenls. 


0.44 

— 

1.5 

0.6 

0.18 

— 

2.4 

0.7 

56.0 

7.80 

10 

3.7 

21.0 

8.70 

14 

2.8 

18.0 

7.20 

9.5 

3.8 

10.0 

6.00 

4.0 

2.6 

0.12 

0.04 

— 

1.9 

0.7 

2.10 

— 

1.0 

0.6 

— 

— 

0.5 

— 

0.34 

— 

0.7 
1.4 
6.8 

— 

0.14 

— 

2.3 

Vol.  12,  No.  3,  December  1978 


157 


concentration  (/jg/l) 


05 


Oi 


03 


02 


1973 


197i 


SITE    SAMPLED 

Rhine  (45) 

Boven  Merwede      (i8) 

Nieuwe  Waterweg  (50) 


1975 


J   fmannj    j  aso  nd    j  fmami   j   asond   j    fmamj   j   asond 

month 

FIGURE  2.    Concentrations  of  HCB  in  the  southern  region  of  the  Rhine  River  {sites  45,  48,  and  50  in  Fij>.  I) 


High  concentrations  of  a-BHC  were  also  found  in  the 
Twentekanaal.  The  source  of  the  contamination  was  a 
chemical  plant  which  produces  7-BHC.  The  a-BHC,  a 
worthless  by-product  of  the  synthesis  of  7-BHC,  was 
dumped  beside  the  canal.  Removal  of  the  dumped 
material  led  to  a  gradual  decrease  of  concentrations  in 
the  canal  and  in  drinking  water  removed  from  canal 
water. 

Concentrations  of  HCB  have  also  decreased,  but  grad- 
ually and  less  drastically  (Figs.  2^).  HCB  is  a  low- 
polarity  compound  which  is  volatile  with  water  and 
readily  adsorbed  by  the  solid  particles  which  settle  in 
fluvial  transport. 

Concentrations  of  cholinestcrase  inhibitors  have  grad- 


ually increased  since  1972  and  significantly  in  1975. 
Concentrations  of  a-  and  P-endosulfan  have  decreased 
greatly  following  the  first  sensational  wave  in  June-July 
1969  (9)  and  a  second,  less  important  one  in  autumn 
of  the  same  year. 

In  Table  8,  maximum  and  median  or  mean  concentra- 
tions of  a-BHC,  7-BHC,  :i;BHC,  dieldrin,  2DDT,  and 
DDE  from  nine  nations  are  summarized  (/,  2,  4,  12- 
23).  Levels  of  a-  and  7-BHC,  i;BHC,  dieldrin,  2DDT, 
and  DDE  in  Dutch  surface  waters  arc  of  the  same  order 
of  magnitude  as  are  the  concentrations  in  other  indus- 
trialized countries.  Concentrations  of  aromatic  amines 
are  comparable  in  Dutch  and  German  parts  of  the  Rhine 
River  (II). 


158 


Pesticides  Monitoring  Journal 


SITE     SAMPLED 


Rhine 


(45) 


concentration  (yug/l) 

05 


Boven  Merwede      (^8) 

Nieuwe  Waterweg  (50) 


FIGURE  3.     Concentrations  of  a-BHC  in  the  southern  region  of  the  Rhine  River  (sites  45,  48,  and  50  in  Fig.  1) 


Vol.  12,  No.  3,  December  1978 


159 


concentration  (/jg/l 


05- 


SITE    SAMPLED 

Rhine  (45) 

Boven  Merwede     (48) 

Nieuwe  Waterweg  (50) 


FIGURE  4.     Concentrations  of  y-BHC  in  the  southern  region  of  the  Rhine  River  (sites  45,  48,  and  50  in  Fig.  J) 


160 


Pesticides  Monitoring  Journal 


TABLE  8.     Concentrations  of  organochlorine  pesticides  in  worldwide  surface  waters,  1968-75 


No. 

OF       Types  of                 _ 
Sites       Water 

Residues, 

PPB 

« 

-BHC 

7 

-BHC 

2  BHC 

DiELDRIN 

DDT 

DC 

>E 
Med 

Literature 

Location 

Max    Med 

Max 

Med 

Max 

Med 

Max 

Med 

Max 

Med 

Max 

References 

Brazil 

9 

surface  water 

4 

<1 

<1      <1 

Lara  and  Barreto, 

1972  (15) 

Canada 

3 

surface  water 

— 

—  1 

— 

1 

0.04 

0.01 

■     0.07 

0.01' 

0.01 

— ' 

Miles  and  Harris, 
1973  (76) 

Czechoslovakia 

150 

surface  water  1971-72 

0.52 

0.81 

0.60 

UhnSh  et  al.,  1974 
(23) 

Federal  Republic  of 

Germany  (FRG) 

8 

surface  water  1970 

1.90 

0.10' 

7.10 

0.10' 

0.04 

I 

0.25 

1 

Herzel,  1972  (72) 

27 

surface  water  1971 

2.40 

0.07' 

1.75 

0.17' 

— 

1 

0.84 

—  I 

Herzel,  1972  (72) 

German  Democratic 

Republic  (GDR) 

26 

surface  water 

0.67 

0.15 

3.2 

0.34 

0.98 

0.15 

Engst  and  Knoll, 
1973  (4) 

Japan 

130 

river  water  1970-73 

3.43 

0.20 

14.15 

0.92 

Suzuki  et  al.,  1974 

Hungary 

4 

Balaton  Lake  1973 

0.04 

0.04' 

0.01 

— ' 

1 

. 1 

(21) 
P4szlor  et  al.,  1975 

(18) 
the  present  report 

Netherlands 

16 

surface  water  1969 

0.24 

1 

0.14 

1 

0.20 

_, 

0.16 

1 

26 

surface  water  1970 

0,50 

0.03' 

0.20 

0.05' 

0.08 

— 

0.11 

—  1 



1 

17 

surface  water  1971 

0.48 

0.04' 

0.34 

0.03' 

0.06 

I 

0.11 

—  1 



1 

26 

surface  water  1972 

0.57 

0.04' 

0.28 

0.03' 

0.08 

1 

0.17 

—  1 

0.15 

1 

21 

surface  water  1973 

0.45 

0.07 

0.42 

0.04' 

0.02 

— 

0.11 

— 

0.01 

. 

17 

surface  water  1974 

0.60 

0.17 

0.33 

0.07 

0.06 

— 

0.04 

— 

0.01 

. 

13 

surface  water  1975 

1.40 

0U3 

0.14 

0.03 

0.02 

— 

0.03 

— 

0.01 



United  States  of 

America 

1 

Utah  Lake  1970-71 
Mississippi  River  1974 

- 

- 

1.3 

0.01 

- 

4.1 

Bradshaw  et  al., 

1972  (1) 
Brodlmann,  1976 

(2) 

6 

Iowa  Rivers  1968 

0.01 

— 

0.01 

— 

0.01 

— 

Johnson  and  Morris, 
1971  (13) 

10 

Iowa  Rivers  1969 

0.06 

— 

0.01 



0.01 



10 

Iowa  Rivers  1970 

0.06 

— 

0.02 



0.02 



1 

Des  Moines  River 
Iowa  1971 

Iowa  1972 
Iowa  1973 

0.05 

U.04 
0.02 

0.03 
0.01 

Kellog  and  Bulkley, 
1976  (14) 

10 

Iowa  rivers  1968 

0.01 

0.01 

0.01 

Morris  et  al..  1972 
(17) 

10 

Iowa  rivers  1969 

0.06 

0.02 

0.01 

10 

Iowa  rivers  1970 

0.06 

0.02 

0.02 

10 

Iowa  rivers  1971 

0.04 

0.22 

0.03 

19 

surface  water  1974 

0.07 

3.92 

Richard  et  al., 
1975  (19) 

20 

rivers  1968 

rivers  1969 
rivers  1970 
rivers  1971 

0.07 

0.04 
0.16 
0.05 

0.03 

0.02 
0.02 

0.01 

0.46 

0.05 
0.09 
0.09 

O.IO 

0.06 
0.05 
0.08 

Schulze  et  al.,  1973 
(20) 

4 

streams  1969 

0.33 

— 

2.50 

0.01 

0.71 

— 

Truhlar  and  Reed, 
1975  (22) 

4 

streams  1970 

0.15 

— 

11.0 

0.02 

0.21 

— 

4 

streams  1971 

— 

— 

0.12 

— 

0.05 

— 

'  Mean  value. 


LITERATURE  CITED 

( /  )  Bradshaw,  J.  S.,  E.  L.  Lovcridge,  K.  P.  Rippee,  J.  L. 
Peterson,  D.  A.  White,  J.  R.  Burton,  and  D.  K.  Fuhri- 
man.  1972.  Seasonal  variations  in  residues  of  chlori- 
nated hydrocarbon  pesticides  in  the  water  of  the  Utah 
Lake  drainage  system — 1971)  and  1971.  Pestic.  Monit. 
J.  6(3):  166-170. 

(2)  Brodtmann,  N.  V.,  Jr.  1976.  Continuous  analysis  of 
chlorinated  hydrocarbon  pesticides  in  the  lower  Mis- 
sissippi River.  Bull.  Environ.  Contam.  Toxicol.  15(  1  ): 
33-39. 

U)  Canton.  //.,  P.  A.  Greve,  W.  SloofJ,  and  G.  J.  van 
Esch.  1975.  Toxicity-,  accumulation-  and  elimination 
studies  of  n-hexachlorocyclohexane  (n-HCH)  with 
fresh  water  organisms  of  different  trophic  levels. 
Water  Res.  9(  12) :  1  163-1 169. 


(4)  Engst,  R..  and  R.  Knoll.  197?.  Contamination  of  sur- 
face water,  rain  water,  and  drinking  water  with  chlori- 
nated hydrocarbons.    Die  Nahrung  17(8)  :837-851. 

(5  I  Fritschi.  G.,  P.  A.  Greve,  H.  KnssmanI,  and  R.  C.  C. 
Wegnian.  1978.  Cholinesterase  inhibitors  in  the  Rhine 
river.  Organic  compounds  in  the  environment.  Deter- 
mination, significance,  decrease.  Erich  Schmidt  Press, 
Berlin,  pp.  265-270. 

(6)  Greve,  P.  A.,  and  S.  L.  Wit.  1971.  Endosulfan  in  the 
Rhine  river.  J.  Water  Pollut.  Contr.  Fed.  43(12): 
2338-2348. 

(7)  Greve,  P.  A.  1971.  Toxic  substances  in  water:  Occur- 
rence and  significance.  H2O  4(  12):272-275. 

(5)  Greve,  P.  A.,  J.  Frendenthal,  and  S.  L.  Wit.  1972. 
Potentially    hazardous    substances    in    surface    waters. 


Vol.  12,  No.  3,  December  1978 


161 


Part   II.   Cholinesterase    inhibitors   in   Dutch    surface 
water.  Sci.  Total  Environ.  l(3):253-265. 

(9)  Grcve,  P.  A.  1972.  Potentially  hazardous  substances  in 
surface  waters.  Part  I:  Pesticides  in  the  river  Rhine. 
Sci.  Total  Environ.  1(2) :  173-180. 

{10)  Greve,  P.  A.,  and  R.  C.  C.  Wegman.  1975.  Determi- 
nation and  significance  of  aromatic  amines  and  their 
derivatives  in  Dutch  surface  waters.  Schr.  Reihe  Ver. 
Wasser-,  Boden-,  und  Lufthyg.,  Berlin-Dahlem  46(1): 
59-80. 

(//)  Hegazi,  M.  1977.  Analysis  and  fate  of  urea  herbicides 
and  their  metabolites  on  bankfiltration,  drinking  water 
and  soil  passage.  Thesis.  Bonn. 

(12)  Herzcl.  F.  1972.  Organochlorine  insecticides  in  surface 
waters  in  Germany — 1970  and  1971.  Pestic.  Monit.  J. 
6(3):179-187. 

(li)  Johnson,  L.  G.,  and  R.  L.  Morris.  1971.  Chlorinated 
hydrocarbon  pesticides  in  Iowa  rivers.  Pestic.  Monit.  J. 
4(4):216-2I9. 

(14)  Kellogg.  R.  L..  and  R.  V.  Bulktey.  1976.  Seasonal  con- 
centrations of  dieldrin  in  water,  channel  catfish,  and 
catfish-food  organisms,  Des  Moines  River,  Iowa — 
1971-73.  Pestic.  Monit.  J.  9(4) :  186-194. 

(15)  Lara.  W.  H.,  and  H.  H.  C.  Barreto.  1972.  Chlorinated 
pesticides  in  water.  Rev.  Inst.  Adolfo  Luti'.  32(1): 
69-74. 

(16)  Miles.  J.  R.  W.,  and  C.  R.  Harris.  1973.  Organochlu 
rine   insecticide   residues   in  streams  draining  agricul- 


tural, urban-agricultural,  and  resort  areas  of  Ontario, 
Canada— 1971.  Pestic.  Monit.  J.  6(4)  :363-368. 

(17)  Morris,  R.  L.,  L.  G.  Johnson,  and  D.  W.  Ehert.  1972. 
Pesticides  and  heavy  metals  in  the  aquatic  environ- 
ment. Health  Lab.  Sci.  9(2):  145-151, 

(18)  Pdsztor,  Z.,  J.  E.  Ponyi,  A.  Holld.  and  L.  Gonezy. 
1975.  Investigations  by  gas  chromatograph  on  the 
chlorinated  hydrocarbon  pollution  in  two  areas  of 
Lake  Balaton.  Annal.  Biol.  Tihany  42(2) :  191-202. 

(19)  Richard,  J.  J.,  G.  A.  Junk,  M.  J.  Avery,  N.  L.  Nehring, 
J.  S.  Fritz,  and  H.  J.  Svec.  1975.  Analysis  of  various 

Iowa  waters  for  selected  pesticides:   atrazine,  DDE, 
and  dieldrin— 1974.  Pestic.  Monit.  J.  9(3) :  1 17-123. 

(20)  Schulze,  J.  A.,  D.  B.  Manigold,  and  F.  L.  Andrews. 
1973.  Pesticides  in  selected  western  streams — 1968-71. 
Pestic.  Monit.  J.  7(l):73-84. 

(21)  Suzuki,  M.,  Y.  Yamalo,  and  T.  Akiyama.  1974.  BHC 
( 1,2,3,4,5,6-hexachlorocyclohexane)  residue  concen- 
trations and  their  seasonal  variation  in  aquatic  envi- 
ronments in  the  Kitakyushi  district,  Japan  1970-1973. 
Water  Res.  8(9)  :643-649. 

(22)  Truhtar,  J.  F.,  and  L.  A.  Reed.  1975.  Occurrence  of 
pesticide  residues  in  four  streams  draining  different 
land-use  areas  in  Pennsylvania,  U.S.  Geological  Sur- 
vey, Water  Resource  Investigations  6-75. 

(23)  Uhndk,  J.,  M.  Sackmauerovd,  A.  Szokolay,  and  O. 
Pal'Usovd.  1974.  TTie  use  of  an  electron-capture  detec- 
tor for  the  determination  of  pesticides  in  water.  J 
Chrcmatogr.  91:545-547. 


162 


Pesticides  Monitoring  Journal 


BRIEF 


Organochlorine  Pesticide  Levels  in  Ottawa  Drinking  Water,  1976 

David  T.  Williams,  Frank  M.  Benoit,  Edward  E.  McNeil,  and  Rein  Otson' 


ABSTRACT 

Duplicate  samples  of  Ottawa  drinking  ttaler  were  collectetl 
once  a  month  dnrini;  1976  and  analyzed  for  organochlorine 
pesticides.  The  samples  were  analyzed  hy  gas  chromatog- 
raphy-mass  spectrometry,  and  pesticides  were  identified  hy 
comparing  their  retention  times,  coupled  with  selected  ion 
monitoring,  with  those  of  known  standards.  The  pesticides 
detected  and  their  mean  concentrations  in  parts  per  trillion 
were  aldrin  (0.9),  heptachlor  epoxide  13),  heplachlor  (0.6), 
n-BHC  (6).  y-BHC  (3).  endrin  (4),  dieldrin  (I).  o,p'-TDE  (I). 
o,p' -DDT  (3).  and  o,p'-DDE  (0.2). 

Introduction 
Ottawa  drinking  water  was  monitored  for  organochlorine 
pesticides   by   a  simple   new   method   using   Amberlite 
XAD-2  macroreticular  resin  for  the  analysis  of  potable 
water  at  the  parts  per  trillion  (ppt)  level. 

Sampling  and  A  nalysis 
In  1976,  duplicate  200-liter  samples  per  month,  except 
July,  of  Ottawa  drinking  water  was  passed  through 
Amberlite  XAD-2  macroreticular  resin  during  a  10-day 
period  according  to  the  procedure  of  McNeil  et  al.  (/). 
The  resin  was  eluted  with  250  ml  hexane,  and  the 
eluates  were  dried  with  sodium  sulfate  and  concentrated 
to  1  ml.  The  concentrated  hexane  eluates  were  then 
analyzed  with  a  Finnigan  Model  4000  gas  chromato- 
graph-mass  spectrometer  coupled  to  a  Model  6000  Data 
System  with  the  following  instrument  parameters  and 
operating  conditions: 

Column:  1.8  m    X    2  mm  ID  glass,  packed  with  3  per- 

cent OV-17  on  8()-10n-mesh  Chromosorb  750 

Temperatvires:  oven  from  200°C  (0.1  minute  hold)  to  250°C 
(hold)   at  5°C/minute;  injection  port  225°C 

Carrier  gas:         helium  flowing  at  25  ml/minute 

The  mass  spectrometer,  operating  in  the  selected  ion 
mode,  was  programmed  to  monitor  four  ions  (m/q  66, 
81,  100,  109)  for  the  first  4  minutes  and  four  other  ions 
(m/q  67,  79,  235,  246)  for  10  minutes  more.  Analyses 
were  performed  on  a  standard  pesticide  mixture,  includ- 


ing the  10  pesticides  detected  under  identical  GC-MS 
conditions  to  permit  identification  and  quantitation.  The 
lower  limit  of  detection  was  about  0.1  ppt  of  pesticide 
in  the  original  200-liter  water  sample. 

Results  and  Discussion 
Results  of  the  pesticide  analyses  are  presented  in  con- 
densed form  in  Table  1,  including  the  relative  retention 
time  and  specific  ion  monitored  for  each  pesticide. 

There  was  no  consistent  seasonal  trend  for  any  of  the 
10  pesticides  detected.  The  monthly  pesticide  values 
varied  considerably  with  the  mean  as  shown  by  the  high 
standard  deviations  in  Table  1.  This  is  expected  since 
the  levels  of  many  of  the  pesticides  were  close  to  the 
detection  limit,  and  the  use  of  selected  ion  monitoring, 
although  more  selective  than  simple  gas  chromatography, 
is  still  subject  to  interference,  particularly  at  the  trace 
levels  found. 

Authors  concluded  that  organochlorine  pesticides  de- 
tected in  Ottawa  drinking  water  exist  as  background 
levels  which  are  consistently  present  in  trace  amounts  in 
the  environment. 

TABLE   1.    Organochlorine  pesticide  residue  levels 
in  Ottawa  drinking  water,  1976 


SElIiCTED 

Relative 

Range 

Mean 

Ion 

Retention 

MIN.-MAX.. 

It 

Pesticide 

Monitored 

Time 

PP1 

Std  Dev. 

Median 

..-BHC 

109 

1.00 

0.1-15 

6±4 

6 

V-BHC 

109 

1.30 

0.4-11 

3±3 

2 

Heptachlor 

100 

1.63 

0.1-1 

0.6±0.3 

0.7 

Aldrin 

66 

1,97 

0.1-6 

0.9±1 

0.5 

Heptachlor 

epoxide 

81 

2.70 

0.2-9 

3±3 

1 

o.p'-DDE 

246 

3.72 

0.1-0.5 

0.2±0.2 

0.2 

Dieldrin 

79 

3.77 

0.1-4 

1±1 

0.7 

(),/)'-TDE 

235 

4.17 

0,1-3 

1±I 

O.g 

Endrin 

67 

4.35 

1-7 

4±4 

4 

o.p'-DDT 

2.35 

4.72 

0.2-8 

3±3 

2 

'  Bureau    of    Chemical    Hazards,    Environmental    Health    Directorate, 
Health  and  Welfare  Canada,  Ottawa,  Ontario,  Canada  KIA  OL2. 


LITERATURE  CITED 

(/)  McNeil,  E.  £,,  R.  Otson,  W.  F.  Miles,  and  F.  J.  M. 
Rajahalee.  1977.  Determination  of  chlorinated  pesti- 
cides in  potable  water.  J.  Chromatogr.  132(2)  :277-286. 


Vol.  12,  No.  3,  December  1978 


163 


APPENDIX 


Chemical  Names  of  Compounds  Discussed  in  This  Issue 


ALDRIN 

AROCLOR  1254 

AROCLOR  1260 

BHC  (BENZENE  HEXACHLORIDE) 

CARBARYL 

CHLORDANE 

DDE 

DDT 

DICHLORVOS 
DIELDRIN 

ENDOSULFAN 

ENDRIN 

HCB 

HEPTAC  HIOR 

HEPTACHLOR  EPOXIDE 

ISODRIN 

MALATIUON 

MIREX 

NONACHLOR 

PARATHION 

PCBs  (POrVCHI  ORINATED  BIPHENYI  S) 

TDE 


TELODRIN 
TOXAPHENE 


Not  less  than  95%  of  1.2..1.4,lU,IO-hexachloro-1.4,4a.5.8.8a-hexahydro-l,4:5,8- 
dimeihanonaphthalene 

PCB.  approximately  54'^r  chlorine 

PCB.  approximately  60%  chlorine 

1,2,-^.4.5,6-Hexachlorocyclohexane  (mixlure  of  isomers) 

I-Naphlhyl  N-methylcarbamate 

1 .2.3.4,5.6,7,8,8-Ociachloro-2.3,3a.4.7,7a-hexahydro-4,7-methanoindene.  The  technical  product 
is  a  mixture  of  several  compounds  including  heptachlor,  chlordene.  and  two  isomeric  forms 
of  chlordane. 

Dichlorodiphenyl  dichloro-ethylene   (degradation  product  of  DDT);  p.p'-DDE:    1,1-Dichloro- 
2.2-bis(/'-chlorophenyl )  ethylene;  o.p'-DDE:  l,l-Dichloro-2-(o-chIorophenyl)-2- 
(p-chlorophenyl)  ethylene 

Main  component  (/?./^'-DDT) :  <i-Bis(/j-chlorophenyl)  /i,/i,/i-trichioroethane 
Other  isomers  are  possible  and  some  are  present  in  the  commercial  product. 
o,p'-DDT:U.'.l-Trichloro-2-(tJ-chlorophenyI  )-2-(/?-chlorophenyl )  ethane] 

2.2-Dichlorovinyl  dimethyl  phosphate 

Not  less  than  85^^  of  l,2.3,4J0,l()-Hexachloro-6.7-epoxy-l,4.4a,5.6.7:8,8a-octahydro-l.4- 
e/(£/r>-f:ic(7-5,8-dimeth3nonaphthalene 

6,7.8.9.10. l0-Hexachloro-1.5.5a,6,9,9a-hexahydro-6.9-meihano-2.4J-benzodioxalhiepin  3-oxide 

Hexachloroepoxyoctahydro-e/irfo.  crt^a-dimeihanonaphihalene 

Hexachlorobenzene 

l,4,5.6,7.8.8-Heptachloro-3a.4,7,7a-tetrahydro-4.7-e/jdo-methanoindene 

l,4,5.6.7,8,8-Heptachloro-2.3-epoxy-3a,4.7.7a-telrahydro-4.7-meihanoindanc 

Hexachlorohexahydro-c.v^j.p.tw-dimethanonaphthalene 

S-l  1 ,2-Bis(ethoxycarbonyl )  eihyll  (>,(>-dimclhyI  phosphorodilhioale 

l,la,2,2.3,3a.4.5,5.5a,5b,6-Dodecachlorooclahydro-1.3.4-mclheno-lH-cyclohula|cdlpcnlalene 

l.2,3.4.5,6.7.8-Nonachlor-^a.4.7.7a-te(rahydro-4,7-methanoindan 

(>.()-Oiclh\\  0-/»-nilrophcn>  1  phosphoroihioiiie 

Mixtures  of  chlunn.iicd  biphcnvl  compounds  having;  various  percentages  ot  chlorine 

2.2-Bis(p-chlorophfnyl  )-I ,  I -dichlorocihane  (includinj;  isomers  anti  dehydiochlorinalion 
products ) 

Ocuchlorohcxahydro-4.7-melhanoisobenzofuran 

Chlorinated  camphenc  (67  69'";   chlorine!    Product  is  a  mixiiire  of  poKchlor  hicyclic 
iLTpencs  wiih  chloiuKiicd  cainplicncs  prcdoininaiitit: 


164 


Pf.str  i»i:s  Monitoring  Journal 


Information  for  Contributors 


The  Pesticides  Monitoring  Journal  welcomes  from  all 
sources  qualified  data  and  interpretative  information  on 
pesticide  monitoring.  The  publication  is  distributed 
principally  to  scientists,  technicians,  and  administrators 
associated  with  pesticide  monitoring,  research,  and 
other  programs  concerned  with  pesticides  in  the  environ- 
ment. Other  subscribers  work  in  agriculture,  chemical 
manufacturing,  food  processing,  medicine,  public  health, 
and  conservation. 

Articles  are  grouped  under  seven  headings.  Five  follow 
the  basic  environmental  components  of  the  National 
Pesticide  Monitoring  Program:  Pesticide  Residues  in 
People;  Pesticide  Residues  in  Wafer;  Pesticide  Residues 
in  Soil;  Pesticide  Residues  in  Food  and  Feed;  and 
Pesticide  Residues  in  Fish,  Wildlife,  and  Estuaries.  The 
sixth  is  a  general  heading;  the  seventh  encompasses 
briefs. 

Monitoring  is  defined  here  as  the  repeated  sampling  and 
analysis  of  environmental  components  to  obtain  reliable 
estimates  of  levels  of  pesticide  residues  and  related 
compounds  in  these  components  and  the  changes  in 
these  levels  with  time.  It  can  include  the  recording  of 
residues  at  a  given  time  and  place,  or  the  comparison  of 
residues  in  different  geographic  areas.  The  Journal  will 
publish  results  of  such  investigations  and  data  on  levels 
of  pesticide  residues  in  all  portions  of  the  environment 
in  sufficient  detail  to  permit  interpretations  and  con- 
clusions by  author  and  reader  alike.  Such  investigations 
should  be  specifically  designed  and  planned  for  moni- 
toring purposes.  The  Journal  does  not  generally  publish 
original  research  investigations  on  subjects  such  as 
pesticide  analytical  methods,  pesticide  metabolism,  or 
field  trials  (studies  in  which  pesticides  are  experimen- 
tally applied  to  a  plot  or  field  and  pesticide  residue  de- 
pletion rates  and  movement  within  the  treated  plot  or 
field  are  observed). 

Authors  are  responsible  for  the  accuracy  and  validity 
of  their  data  and  interpretations,  including  tables,  charts, 
and  references.  Pesticides  ordinarily  should  be  identi- 
fied by  common  or  generic  names  approved  by  national 
or  international  scientific  societies.  Trade  names  are 
acceptable  for  compounds  which  have  no  common 
names.  Structural  chemical  formulas  should  be  used 
when  appropriate.  Accuracy,  reliability,  and  limitations 
of  sampling  and  analytical  methods  employed  must  be 
described  thoroughly,  indicating  procedures  and  con- 
trols used,  such  as  recovery  experiments  at  appropriate 
levels,  confirmatory  tests,  and  application  of  internal 
standards  and  interlaboratory  checks.  The  procedure 
employed  should  be  described  in  detail.  If  reference  is 
made  to  procedures  in  another  paper,  crucial  points  or 
modifications  should  be  noted.  Sensitivity  of  the  method 
and   limits   of   detection  should   be   given,   particularly 


when  very  low  levels  of  pesticide  residues  are  being 
reported.  Specific  note  should  be  made  regarding  cor- 
rection of  data  for  percent  recoveries.  Numerical  data, 
plot  dimensions,  and  instrument  measurements  should 
be  reported  in  metric  units. 

PREPARATION  OF  MANUSCRIPTS 

Prepare  manuscripts  in  accord  with  the  CBE  Style 

Manual,  third  edition.  Council  of  Biological  Edi- 
tors, Committee  on  Form  and  Style,  American 
Institute  of  Biological  Sciences,  Washington,  D.C., 
and/or  the  U.S.  Government  Printing  Office  Style 
Manual.  For  further  enrichment  in  language  and 
style,  consult  Strunk  and  White's  Elements  of  Style, 
second  edition,  MacMillan  Publishing  Co.,  New 
York,  N.Y.,  and  A  Manual  of  Style,  twelfth  edi- 
tion. University  of  Chicago  Press,  Chicago,  III. 

On  the  title  page  include  authors'  full  names  with 

affiliations  and  addresses  footnoted;  the  senior 
author's  name  should  apf>ear  first.  Authors  are 
those  individuals  who  have  actually  written  or 
made  essential  contributions  to  the  manuscript  and 
bear  ultimate  responsibility  for  its  content.  Use 
the  Acknowledgment  section  at  the  end  of  the 
paper  for  crediting  secondary  contributorF 

Preface  each  manuscript  with  an  informative  ab- 
stract not  to  exceed  200  words.  Construct  this 
piece  as  an  entity  separate  from  the  paper  itself; 
it  is  potential  material  for  domestic  and  foreign 
secondary  publications  concerned  with  the  topic  of 
study.  Choose  language  that  is  succinct  but  not 
detailed,  summarizing  reasons  for  and  results  of 
the  study,  and  mentioning  significant  trends.  Bear 
in  mind  the  literature  searcher  and  his/her  need 
for  key  words  in  scanning  abstracts. 

Forward  original  manuscript  and  three  copies  by 

first-class  mail  in  flat  form;  do  not  fold  or  roll. 

Type   manuscripts  on   S'/z-by-l  1-inch  paper  with 

generous  margins  on  all  sides,  and  end  each  page 
with  a  completed  paragraph.  Recycled  paper  is 
acceptable  if  it  does  not  degrade  the  quality  of 
reproduction.  Double-space  all  copy,  including 
tables  and  references,  and  number  each  page. 

Place    tables,    charts,    and    illustrations,    properly 

titled,  at  the  end  of  the  article  with  notations  in 
the  text  to  show  where  they  should  be  inserted. 
Treat  original  artwork  as  irreplaceable  material. 
Lightly  print  author's  name  and  illustration  number 
with  a  ballpoint  pen  on  the  back  of  each  figure. 
Wrap  in  cardboard  to  prevent  mutilation;  do  not 
use  paperclips  or  staples. 

Letter  charts  distinctly  so  that  numbers  and  words 

will  be  legible  when  reduced.  Execute  drawings  in 


Vol.  12,  No.  3,  December  1978 


165 


black  ink  on  plain  white  paper.  Submit  original 
drawings  or  sharp  glossy  photographs:  no  copies 
will  be  accepted. 

Number   literature  citations   in   alphabetical   order 

accordmg  to  author.  For  journal  article  include, 
respectively,  author,  year,  title,  journal  name  as 
abbreviated  in  Chemical  Abstracts  Service  Source 
Index,  and  volume,  issue,  and  page  numbers.  For 
book  references  cite,  respectively,  author,  year, 
chapter  title,  pages,  and  editor  if  pertinent,  book 
title,  and  name  and  city  of  publisher.  For  Govern- 
ment manuals  list  originating  agency  and  relevant 
subgroup,  year,  chapter  title  and  editor  if  perti- 
nent, manual  title,  and  relevant  volume,  chapter, 
and/or  page  numbers.  Do  not  list  private  com- 
munications among  Literature  Cited.  Insert  them 
parenthetically  within  the  text,  including  author, 
date,  and  professional  or  university  affiliation  in- 
dicating author's  area  of  expertise. 

The  Journal  welcomes  brief  papers  reporting  monitor- 
ing data  of  a  preliminary  nature  or  studies  of  limited 
scope.  A  section  entitled  Briefs  will  be  included  as 
necessary  to  provide  space  for  short  papers  which  pre- 
sent timely  and  informative  data.  These  papers  must  be 
limited  to  two  published  pages  (850  words)  and  should 
conform  to  the  format  for  regular  papers  accepted  by 
the  Journal. 

Manuscripts  require  approval  by  the  Editorial  Advisory 
Board.  When  approved,  the  paper  will  be  edited  for 
clarity    and    style.    Editors    will    make    the    minimum 


changes  required  to  meet  the  needs  of  the  general 
Journal  audience,  including  international  subscribers 
for  whom  English  is  a  second  language.  Authors  of 
accepted  manuscripts  will  receive  edited  typescripts  for 
approval  before  type  is  set.  After  publication,  senior 
authors  will  receive  100  reprints. 

Manuscripts  are  received  and  reviewed  with  the  under- 
standing that  they  have  not  been  accepted  previously 
for  publication  elsewhere.  If  a  paper  has  been  given 
or  is  intended  for  presentation  at  a  meeting,  or  if  a 
significant  portion  of  its  contents  has  been  published 
or  submitted  for  publication  elsewhere,  notations  of 
such  should  be  provided.  Upon  acceptance,  the  original 
manuscript  and  artwork  become  the  property  of  the 
Pesticides  Monitoring  Journal. 

Every  volume  of  the  Journal  is  available  on  microfilm. 
Requests  for  microfilm  and  correspondence  on  editorial 
matters  should  be  addressed  to: 

Paul  Fuschini  (TS-757) 

Editorial  Manager 

Pesticides  Monitoring  Journal 

U.S.  Environmental  Protection  Agency 

Washington,  D.C.  20460 

For  questions  concerning  GPO  subscriptions  and  back 
issues  write: 

Superintendent  of  Documents 
U.S.  Government  Printing  Office 
Washington,  D.C.  20402 


166 


Pesticides  Monitoring  Journal 


The  Pesticides  Monitoring  Journal  is  published  quarterly  under  the  auspices  of  the 
Federal  Working  Group  on  Pest  Management  (responsible  to  the  Council  on  Environ- 
mental Quality)  and  its  Monitoring  Panel  as  a  source  of  information  on  pesticide 
levels  relative  to  humans  and  their  environment. 

The  Working  Group  is  comprised  of  representatives  of  the  U.S.  Departments  of  Agri- 
culture; Commerce;  Defense;  the  Interior;  Health.  Education,  and  Welfare;  State; 
Transportation;  and  Labor;  and  the  Environmental  Protection  Agency. 

The  Monitoring  Panel  consists  of  representatives  of  the  Agricultural  Research  Service, 
Animal  and  Plant  Health  Inspection  Service.  Extension  Service,  Forest  Service, 
Department  of  Defense.  Fish  and  Wildlife  Service,  Geological  Survey,  Food  and  Drug 
Administration,  Environmental  Protection  Agency,  National  Marine  Fisheries  Service, 
National  Science  Foundation,  and  Tennessee  Valley  Authority. 

The  Pesticides  Monitoring  Journal  is  published  by  the  Technical  Services  Division, 
Office  of  Pesticide  Programs,  U.S.  Environmental  Protection  Agency. 

Pesticide  monitoring  activities  of  the  Federal  Government,  particularly  in  those  agencies 
represented  on  the  Monitoring  Panel  which  participate  in  operation  of  the  national 
pesticides  monitoring  network,  are  expected  to  be  the  principal  sources  of  data  and 
articles.  However,  pertinent  data  in  summarized  form,  together  with  discussions,  are 
invited  from  both  Federal  and  non-Federal  sources,  including  those  associated  with 
State  and  community  monitoring  programs,  universities,  hospitals,  and  nongovernmental 
research  institutions,  both  domestic  and  foreign.  Results  of  studies  in  which  monitoring 
data  play  a  major  or  minor  role  or  serve  as  support  for  research  investigation  also 
are  welcome;  however,  the  Journal  is  not  intended  as  a  primary  medium  for  the 
publication  of  basic  research.  Publication  of  scientific  data,  general  information,  trade 
names,  and  commercial  sources  in  the  Pesticides  Monitoring  Journal  does  not  represent 
endorsement  by  any  Federal  agency. 

Manuscripts  received  for  publication  are  reviewed  by  an  Editorial  Advisory  Board 
established  by  the  Monitoring  Panel.  Authors  are  given  the  benefit  of  review  comments 
prior  to  publication.  For  further  information  on  Journal  scope  and  manuscript  prepara- 
tion, see  Information  for  Contributors  at  the  back  of  this  issue. 

Editorial  Advisory   Board  members  are: 

John  R.  Wessel,  Food  and  Drug  Administration,  Chairman 

Robert  L.  Williamson,  Animal  and  Plant  Health  Inspection  Service 

Anne  R.  Yobs,  Center  for  Disease  Control 

William  F.   Durham,  Environmental  Protection  Agency 

Gerald  E.  Walsh,  Environmental  Protection  Agency 

G.   Bruce   Wiersma,   Environmental  Protection  Agency 

William  H.  Stickel,  Fish  and  Wildlife  Service 

Allan  R.  Isensee,  Science  and  Education  Administration — Agricultural  Research 

Herman    R.    Feltz,    Geological   Survey 

Address  correspondence  to: 

Paul  Fuschini     (TS-757) 

Editorial    Manager 

Pesticides   Monitoring   Journal 

U.  S.  Environmental  Protection  Agency 

Washington,   D.C.   20460 


Editor 
Martha  Finan 


CONTENTS 


Volume   12  March   1979  Number  4 


Page 
FOOD  AND  FEED 

Acephate  and  mclhamidophos  residue  behavior  in  Florida  citrus — 7976 167 

Herbert  N.  Nigg,  James  A.  Reinerl,  and  Glenn  E.  Fitzpatrick 

FISH,  WILDLIFE,  AND  ESTUARIES 

Effects  of  organochlorine  residues  on  eggshell  thickness,  reproduction,  and  population  status  of  brown  pelicans 

(Pelecanus  occidentalis)  in  South  Carolina  and  Florida,  l969-76_ 172 

Lawrence  J.  Blus.  Thair  G.  Lamont,  and  Burkett  S.  Neely,  Jr. 

Pesticide  contamination  of  water  rats  in  the  Murrumbidgee  irrigation  areas.  New  South  Wales,  Australia,  1970-72  185 

Penny  Olsen  and  Harry  Settle 
Organochlorine  residues  in  harp  seal  (Phagophilus  groenlandicus)  tissues.  Gulf  of  St.  Lawrence,  1971 ,  1973 189 

K.  T.  Rosewell,  D.  C.  G.  Muir,  and  B.  E.  Baker 
Nationwide  residues  of  organochlorine  compounds  in  starlings  (Sturnus  vulgaris),  1976 193 

Donald  H.  White 

SOILS 

Pesticide  application  and  cropping  data  from  37  states,  1972 — National  Soils  Monitoring  Program 198 

Ann  E.  Carey  and  Jeanne  A.  Gowen 
Pesticide  residue  levels  in  soils  and  crops  from  37  states,  1972 — National  Soils  Monitoring  Program  (IV) 209 

Ann  E.  Carey,  Jeanne  A.  Gowen.  Han  Tai,  William  G.  Mitchell,  and  G.  Bruce  Wiersma 
Organochlorine  pesticide  residues  in  soils  from  six  U.S.  Air  Force  bases,  1975-76 230 

Jerry  T.  Lang,  Leopoldo  L.  Rodriguez,  and  James  M.  Livingston 

APPENDIX 234 

ERRATA 235 

ACKNOWLEDGMENTS 236 

ANNUAL  INDEX  (Volume  12,  June  1978-March  1979) 

Preface 237 

Su  bject  Index .        238 

Author  Index 246 

Information  for  Conlributom .         248 


FOOD  AND  FEED 

Acephate  and  Methamidophos  Residue  Behavior  in  Florida  Citrus,  1976 

Herbert  N.  Nigg,=  James  A.  Reinert,"  and  George  E.  Fitzpatrick' 


ABSTRACT 

The  half-life  of  acephate  and  its  hydrolysate,  methamido- 
phos, in  the  rind  of  Temple  and  Valencia  oranges,  and 
grapefruit,  lemons,  and  tangerines  was  10.3  days  and  10.5 
days,  respectively.  Half-lives  of  acephate  and  methamido- 
phos in  citrus  pulp  were  15.0  days  and  6.1  days,  respectively, 
based  on  7-,  14-,  and  21-day  data.  Seven  days  after  treat- 
ment, acephate  and  methamidophos  reached  maximum  levels 
in  rind  and  pulp.  Acephate  residue  levels  in  rind  were  less 
than  3.0  ppm  14  days  after  treatment;  acephate  residues  in 
pulp  were  less  than  3.0  ppm  throughout  the  experiment. 
Methamidophos  residue  levels  averaged  less  than  0.25  ppm 
after  21  days. 

Introduction 
In  1937,  the  citrus  blackfly,  Aleurocanthus  woghimi 
Ashby  (Homoptera:  Aleyrodidae),  was  eradicated  from 
the  Florida  Keys  by  use  of  petroleum  oil  (7).  Early 
in  1976,  the  citrus  blackfly  was  again  discovered  in  Fort 
Lauderdale,  Florida,  and  surrounding  Broward  County 
(8).  Infestations  are  currently  found  in  Broward, 
Collier,  Dade,  Indian  River,  Martin,  Okeechobee,  Palm 
Beach,  and  Saint  Lucie  Counties  (G.  E.  Fitzpatrick, 
University  of  Florida  Institute  of  Food  and  Agricultural 
Sciences,  October  1978:  personal  communication). 
After  discovery  of  the  infestations,  an  intensive  state 
and  federally  sponsored  eradication  program  was  begun, 
but  it  was  complicated  by  the  urban  nature  of  the  citrus 
blackflv  infestation. 

Based  on  chemical  efficacy  and  citrus  blackfly  life-cycle 
data,  three  treatments  of  acephate  at  3-week  intervals 
were  necessary  for  eradication  {8).  Treatments  were 
applied  to  all  Florida  citrus  owned  by  individual  home- 
owners in  the  heavily  urbanized  area  under  an  emer- 


'  Florida  Agricultural  Experiment  Stations  Journal  Series  No.  1148. 
Research  supported  by  special  funds  from  tlie  Center  for  Environ- 
mental Programs,  University  of  Florida.  21)14  McCarty  Hall,  Gaines- 
ville, FL  32611. 

-'University  of  Florida,  Institute  of  Food  and  Agricultural  Sciences, 
Agricultural  Research  and  Education  Center,  P.O.  Box  1088,  Lake 
Alfred.  FL  3.1850. 

'University  of  Florida.  Institute  of  Food  and  Agricultural  Sciences, 
Agricultural  Research  Center,  3205  S.W.  70th  Avenue,  Fort  Lauder- 
dale, FL  33314. 


gency  exemption  granted  by  the  United  States  Environ- 
mental Protection  Agency  (EPA).  The  homeowner  was 
advised  by  the  Florida  and  U.S.  Departments  of  Agri- 
culture to  wait  7  days  before  consuming  treated  fruit. 

It  was  not  known  whether  acephate  and  its  environ- 
mental metabolite,  methamidophos  (Monitor),  would 
reach  their  respective  action  levels  of  3.0  ppm  and  0.25 
ppm  in  whole  fruit  within  7  days.  In  addition,  acephate 
and  methamidophos  are  systemic  chemicals  and  might 
readily  penetrate  fruit  rind  into  the  edible  pulp. 

The  purpose  of  the  present  study  was  to  monitor  levels 
of  acephate  and  methamidophos  in  common  Florida 
citrus  to  determine  half-lives  and  tolerances  of  these 
materials. 

Materials  and  Methods 
Each  experimental  unit  consisted  of  one  city  block. 
Within  each  city  block,  a  random  8-fruit  sample  was 
taken  from  3-10  trees  of  Temple  and  Valencia  oranges, 
and  grapefruit,  lemons,  and  tangerines  on  each  sample 
date.  Treatments  were  replicated  four  times  in  a 
completely  random  design  including  four  unsprayed 
check  blocks.  Acephate  at  0.6  g  active  ingredient (AI)/ 
liter  (ca  38  liters/tree)  was  applied  with  a  hydraulic 
sprayer  at  29  kg/ cm-  and  with  a  mist  blower  at  2.4  g 
Al/liter  (ca  0.8  liter/tree).  The  hydraulic  sprayer  was 
a  standard,  truck-mounted  unit  with  two  100-m  hoses 
and  attached  handheld  sprayguns.  The  mist  blower  was 
a  gasoline-driven  backpack  unit  (KWH  Whirlwind,  Hol- 
land). Three  separate  treatments  were  applied  at  3-week 
intervals.  Dual  samples  of  each  variety  were  taken  after 
the  third  application  on  days  1,  3,  5,  and  7,  and  single 
samples  of  each  variety  were  taken  on  days  14  and  21 
by  clipping  the  fruit  into  plastic  bags.  Each  sample 
consisted  of  eight  fruits.  One  set  of  the  dual  samples 
was  washed  in  a  weak  soap  solution  of  Ivory  liquid  to 
simulate  homeowner  washing.  Samples  were  frozen  at 
-20'C  and  transported  frozen  to  the  laboratory  for 
analysis. 


Vol.  12,  No.  4,  March  1979 


167 


Samples  were  stored  approximately  one  month  at 
—  lO'C  prior  to  analysis.  Valencia  oranges  were  0.8 
mature  when  harvested;  other  varieties  were  completely 
mature. 

The  method  of  I.cary  (4)  was  modified  for  extraction 
and  analyses  of  acephate  and  mcthamidophos.  Fruits 
were  thawed,  the  rind  was  removed  from  one  half  of 
each  fruit,  and  the  pulp  was  sliced  into  a  Waring  blender. 
The  pulp  was  blended  for  ?•  minutes,  and  a  10-g  sub- 
sample  was  removed  for  analysis.  The  rind  was  diced, 
blended  for  3  minutes,  and  a  10-g  subsample  was  taken 
for  analysis.  Separate  fruit  knives  were  used  for  all 
operations,  and  between  samples  all  equipment  was 
washed  thoroughly  with  hot  soapy  water,  rinsed  in  tap 
water,  deionized  water,  isopropanol,  and  again  in  deion- 
ized  water. 

The  10-g  sample  of  either  rind  or  pulp  was  homogenized 
in  100  ml  ethyl  acetate  and  15  g  sodium  sulfate  for 
5  minutes  in  a  Sorvall  blending  cup  in  an  ice  bath.  The 
blender  cup  top  was  loosened  upon  removal  from  the 
mixer,  and  particulate  matter  was  allowed  to  settle  for 
1  minute.  A  20-ml  aliquot  was  evaporated  to  dryness 
under  a  nitrogen  atmosphere  at  40°C,  and  transferred 
to  brown  glass  bottles  over  sodium  sulfate  in  10  ml 
methyl  isobutyl  ketone  (MIBK)  for  gas  chromatographic 
(GC)  analysis.  No  further  cleanup  was  performed  on 
the  extractions,  and  they  were  stored  at  —  ZO^C  until 
analysis.  The  elTect  of  storage  on  the  hydrolysis  of 
acephate  to  mcthamidophos  was  not  determined. 

For  acephate  and  mcthamidophos,  GC  was  conducted 
on  a  Hewlett-Packard  Model  57.^0A  gas  chromatograph 
equipped  with  dual  nitrogen-phosphorus  detectors.  In- 
strument parameters  and  operating  conditions  follow: 

Column:  jilass.  M)  inches  long   "''    In-inch  ID.  packed  with 

1     percent     Reoplex    400    iin    «0-KIO-mesh    Gas- 

Chiom  Q 
Temperatures.  °C;     detector    300 

injecldr     2U) 

program    150-200    at    K     minute.    8-minute    final 
hold.    45-second    delav    alter    injection 
Carrier  gas:  helium  llowing  at  30  ml  minute 

Compounds  were  quantified  by  comparing  peak  heights 
of  standard  materials  chromatographed  at  the  same  at- 
tenuation. Unsprayed  fruit  extracts  fortified  with  stand- 
ard acephate  and  mcthamidophos  (Chevron  Chemical 
Co.,  Richmond,  Virginia)  were  linear  at  each  GC  at- 
tenuation setting.  However,  at  the  attenuation  setting 
of  8,  standard  materials  chromatographed  in  MIBK. 
alone  produced  a  10-20  percent  lower  response  than  in 
fortified  fruit  extracts.  Fruit  extracts  alone  were  blank, 
apparently  as  a  result  of  an  unexpected  synergistic  efiect 
of  some  component  in  the  fruit  extract  on  the  nitrogen- 
phosphorus  detector  response.  Consequently,  fruit  ex- 
tracts fortified  with  acephate  and  mcthamidophos  were 
used  for  quantification.  Standards  were  chromato- 
graphed every  fourth  injection.    All  injections  were  5  fd. 


All  solvents  were  assessed  for  interferences  by  evapo- 
rating 100  ml  of  each  solvent  to  1  ml  and  chromato- 
graphing  5  mI. 

Recoveries  of  standard  materials  from  fortified  homo- 
genates  were  7.^.1  percent  mcthamidophos  and  77.8  per- 
cent acephate  at  1  ppm  and  82.6  percent  mcthami- 
dophos and  85.4  percent  acephate  at  5  ppm  for  both 
peel  and  pulp.  There  were  no  varietal  differences  in 
recovery  of  standard  materials.  Variations  in  recovery 
averaged  16.8  percent  for  mcthamidophos  and  15.3  per- 
cent for  acephate  at  1  ppm  and  4.6  percent  for  mcth- 
amidophos and  5.5  percent  for  acephate  at  5  ppm.  Low- 
est accurate  level  of  detection  for  both  standards  was 
0.01  ppm;  lower  levels  are  reported  as  trace.  The  data 
in  Tables  1  and  2  are  not  corrected  for  recovery.  No 
analyses  were  performed  on  either  the  formulated  ace- 
phate or  tank  mixes.   The  equation  for  decay  was: 


-/)/ 


ln(y  ly  )  =  —bt 


Half-life,  /    ,  was  calculated  as 


t      =  In(0.5)/(— /)) 


(1) 

(2) 

(3) 


Residue  levels  were  compared  among  varieties  on  indi- 
vidual sampling  davs  and  among  sampling  davs  for  indi- 
vidual varieties  with  a  t-test  (/O).  Degrees  of  freedom 
were  14  for  da^s  1-7  and  6  for  days  14  and  21 
f^//  =  2(«  — 1)]  (/O).  Comparison  of  residue  levels 
are  significant  at  the  0.01  level. 

Results  and  Discussion 

There  was  no  statistical  difference  between  residues  of 
acephate  and  mcthamidophos  on  or  in  washed  and  un- 

TABLF.   1.     Acepliate  residues  in  rind  and  pulp 
of  Florida  citrus,  1976 

Day,  Post  Application 


14 


21 


Residues  (Mean  ±  Std  Dev.),  ppm 


Temple  orange 

Rind     2.3  ±  0.7 
Pulp      1.3  ±0.5 

4.6  ±  1.6 
0.8  ±  tr 

2.8  ±2.8 
0.8  ±0.5 

7.9  ±  5.8 
2.6  ±  1.3 

2.6  ±  1.8 
1.6  ±0.8 

2.0  ±  1.2 
1.2  ±2.0 

Grapefruit 

Rind     2.7  ±2.1 
Pulp     0.3  ±  0.2 

1.9±  I.l 
0.4  ±  0.3 

2.3  ±2.1 
0.4  ±  0.4 

3.9  ±2.5 
0.9  ±  0.6 

1.4  ±0.2 
0.5  ±  Ir 

1.9  ±0.8 
0.3  ±  0.3 

\';ilencia  orange 
Rind     3.9  ±1.5 
Pulp      1.1  ±0.7 

3.1  ±  2.5 
0.6  ±0.8 

4.1  ±  2.8 
1.4  ±0.5 

4.2  ±  1.5 
0.7  ±0.5 

1.8  ±  1.2 
0.8  ±  0.3 

2.1  ±  1.3 
1.0  ±  1.0 

lemon 

Rind     3.8  ±2.2 
Pulp      1,5  ±0.7 

5.7  ±4.1 
1.9  ±  1.0 

2.9  ±  1.8 
1.0  ±0.6 

6.2  ±  2.9 

2.4  ±  1.6 

2.6  ±  1.8 
1.3  ±  1.2 

1.4±  I.O 
1.4  ±0.9 

Tangerine 

Rind     3.8  ±  2.3 
Pulp     0.7  ±  0.3 

4.9  ±  3.8 
2.0  ±  1.3 

4.9  ±2.1 
1.3  ±  1.1 

4.9  ±  1.8 
2.0  ±  0.7 

2.1  ±  1.2 
0.9  ±0.4 

4.9  ±  4.6 
1.0  ±0.6 

NOTF. :   tr  =  trace  =  <0.01  ppm. 


168 


Pesticides  Monitoring  Journal 


ACEPHATE  IN  FLORIDA  CITRUS  RIND 


DAYS   POST  APPLICATION 


ACEPHATE   IN  FLORIDA  CITRUS  PULP 


• •  TEMPLE 

o o  GRAPEFRUIT 

i 4  VALENCIA 

-i  LEMON 
-♦TANGERINE 


7  14 

DAYS  POST  APPLICATION 


METHAMIDOPHOS   IN  FLORIDA  CITRUS  RIND 


• — •    TEMPLE 
o — 0   GRAPEFRUIT 
A — t   VALENCIA 
A — A   LEMON 
» — »   TANGERINE 


3     5     7  a 

DAYS   POST  APPLICATION 

METHAMIDOPHOS   IN  FLORIDA  CITRUS  PULP 
A  I  2  ppm 


• •  TEMPLE 

o o  GRAPEFRUIT 

4 1   VALENCIA 

A A  LEMON 

♦  —  ♦  TANGERINE 


7  14 

DAYS   POST  APPLICATION 


FIGURE   1.     Acephate  and  methamidophos  residue  in  rind  and  pulp  of  Florida  citrus.    Points  for  days  1,  3,  5,  and  7  are 
averages  of  eight  determinations.  Days  14  and  21  are  averages  of  four  determinations. 


TABLE  2.     Methamidophos  residues  in  rind  and  pulp 
of  Florida  citrus,  1976 

Day.  Post  Application 
1  3  5  7  14  21 

Residues  (Mean  ±  Std  Dev.),  ppm 

Temple  orange 

Rind    0.2  ±tr  0.3  ±  0.4  1.3  ±  1.1  1.0  ±0.5  0.2  ±0.1  0.4  ±  0.2 

Pulp     0.1  ±lr  0.1  ±tr  0.2  ±0.2  tr  0.2  ±0.1  0.1  ±0.2 

Grapefruit 

Rind     0.1  ±0.1  0.3  ±  0.2  0.6  ±  0.5  0.5  ±  0.3  0.2  ±  0.1  0.2  ±  tr 

Pulp  ND  0.1  ±0.1  0.1  ±0.2  0.2  ±0.3  0.6  ±  tr  0.1  ±0.1 

Valencia  orange 

Rind     0.2  ±0.1  0.3  ±  0.3  1.3  ±  0.6  1.0  ±0.8  0.2  ±0.1  0.2  ±0.1 

Pulp     0.1  ±0,2  0.1  ±0.1  0.4  ±0.1  tr  0.1  ±  0.1  0.1  ±0.1 

Lemon 

Rind    0.1  ±0.1  0.2  ±0.2  0.5  ±  0.3  0.6  ±  0.6  0.2  ±0.1  0.1  ±  0.1 

Pulp  tr  0,1  ±0.1  0.3  ±  0.6  1.2  ±  1.8  0.1  ±  0.1  0.2  ±0.1 

Tangerine 

Rind    0.2  ±0.2  0.5  ±  0.4  1.5  ±  1.2  1.5  ±  1.2  0.2  ±0.1  0.6  ±  0.4 

Pulp  tr  0.2  ±0.2  0.2  ±0.2  0.4  ±0.4  0.1  ±  tr  0.1  ±0.1 


NOTE:     tr  =  trace  =  <0.01  ppm. 


ND 


not  detected. 


washed  fruit  (days  1,  3,  5,  7),  and  data  for  washed 
and  unwashed  fruit  were  combined  for  statistical  analy- 
ses. This  result  may  be  due  to  the  method  of  handling 
samples  (i).  In  the  present  study,  frozen  fruits  were 
thawed  before  being  peeled.  Condensation  on  the  fruits 
collected  in  the  bottom  of  the  bag;  this  condensate  was 

Vol.  12,  No.  4,  March  1979 


not  added  to  the  extract  because  only  half  of  each  fruit 
was  peeled.  The  fruits  were  thus  washed  by  condensa- 
tion prior  to  peeling.  This  accounts  for  the  absence  of 
statistical  difference  between  washed  and  unwashed 
fruits.  The  data  presented  here  can  only  properly  be 
considered  penetrated  residues.  Also,  no  residues  of 
acephate  or  methamidophos  were  detected  in  fruit  which 
had  been  misted.  Only  the  results  of  the  hydraulic  ap- 
plication are  reported  here. 

Both  acephate  and  methamidophos  are  systemic  insec- 
ticides, and  the  data  in  Figure  1  indicate  that  at  least 
acephate  readily  penetrates  the  rind  of  all  citrus  varie- 
ties. Because  methamidophos  can  be  produced  from 
acephate  by  hydrolysis,  internal  methamidophos  could 
have  come  from  acephate. 

The  peak  of  penetrated  residues  of  both  compounds  oc- 
curs on  days  5  and  7.  Acephate  residues  in  rind  are 
significantly  higher  (0.01  ppm)  on  day  7  than  on  days 
5  and  14  for  Temple  oranges,  grapefruit,  and  lemons. 
For  Valencia  oranges  and  tangerines,  day  14  residues 
are  significantly  lower  than  are  day  7  residues,  but  due 
to  the  variability  of  the  data,  the  peak  of  penetrated 
residues  may  have  occurred  on  day  5  (Table  !)•  Had 
data  been  taken  on  day  9,  higher  methamidophos  resi- 


169 


dues  might  have  been  found,  indicating  additional  con- 
version of  acephate.  The  data  do  show,  however,  that 
the  residues  are  above  the  EPA  action  levels  of  3.0 
ppm  acephate  and  0.25  ppm  mcthamidophos  on  day  7 
(Tables  1,2;  Fig.  1). 

The  acephate-in-piilp  pattern  is  similar  to  that  in  rind. 
Day  7  residues  are  significantly  higher  than  are  residues 
on  days  5  or  14  in  Temple  oranges,  grapefruit,  lemons, 
and  tangerines.  For  Valencia  oranges,  the  peak  of  ace- 
phate in  pulp  may  have  occurred  on  day  5  when  resi- 
dues of  acephate  were  significantly  higher  than  on  days 
3  or  7.  Acephate  in  pulp  was  never  above  the  action 
level  of  3.0  ppm.  The  maximum  level  of  acephate  in 
pulp  was  2.0  ppm  in  tangerines  on  day  14.  Most  pulp 
acephate  residues  averaged  1.0  ppm  or  less  (Table  1). 

The  pattern  of  methamidophos  residues  was  similar  to 
that  of  acephate  (Table  2).  For  Temple  orange,  grape- 
fruit, Valencia  orange,  lemon,  and  tangerine  rind,  day  7 
residues  were  significantly  higher  than  were  day  14 
residues.  However,  methamidophos  levels  in  rind  were 
the  same  on  days  5  and  7,  so  residues  may  have  peaked 
on  day  5.  In  pulp,  no  peak  of  methamidophos  residues 
was  apparent  in  Temple  oranges,  but  statistically  signifi- 
cant peaks  occurred  on  day  7  in  lemons  and  tangerines, 
on  day  5  in  Valencia  oranges,  and  on  day  14  in  grape- 
fruit. 

The  pattern  of  penetration  of  acephate  and  methami- 
dophos in  both  rind  and  pulp  of  these  varieties  was 
statistically  significant  and  consistent.  The  peak  pene- 
trated residues  of  acephate  and  methamidophos  in  rind 
and  in  pulp  occurred  on  or  before  day  7  with  decreas- 
ing residues  thereafter. 

The  statistical  comparison  of  varieties  in  Table  3  indi- 
cates that  by  day  14  there  are  no  differences  in  acephate 
residue  levels  in  rind  among  varieties.  Before  day  14,  no 
consistent  pattern  of  residue  levels  is  evident.  The  same 
comparison  for  acephate  in  pulp  (Table  4)  points  to 
significantly  lower  residues  in  grapefruit  pulp  than  in 
lemon  and  tangerine  pulp.  With  this  exception,  there 
were   no  dillerences   in   acephate   residues   in   piilp   by 


TABLE  4.     Statistical  comparison  of  acephate  residue  levels 
in  citrus  pulp,  1976 


Day, 

Post  Application 

1 

3 

5 

7 

14 

21 

Temple  i)r;inge  vs.  grapefruit 

yes 

yes 

yes 

yes 

yes 

no 

Temple  vs.  Valencia  oranges 

no 

no 

yes 

yes 

yes 

no 

Temple  orange  vs.  lemon 

no 

yes 

no 

no 

no 

no 

Temple  orange  vs.  tangerine 

yes 

yes 

yes 

yes 

yes 

no 

Cirapcfruit  vs.  Valencia  orange 

yes 

no 

yes 

no 

yes 

no 

Grapefruit  vs.  lemon 

yes 

yes 

yes 

yes 

yes 

yes 

Grapelruit  vs.  tangerine 

yes 

yes 

yes 

yes 

yes 

yes 

Valencia  orange  vs.  lemon 

no 

yes 

yes 

yes 

no 

no 

Valencia  orange  vs.  tangerine 

yes 

yes 

no 

yes 

no 

no 

Lemon  vs.  tangerine 

yes 

no 

no 

no 

no 

no 

See  NOTE,  Table  3. 

day  21.  Residues  in  Temple  oranges  were  significantly 
higher  than  were  residues  in  grapefruit  until  day  21 
(Tables  1,4). 

By  day  14  there  were  no  significant  differences  in  meth- 
amidophos levels  in  rind  among  varieties,  yet  dilTer- 
ences  appear  on  day  21  (Table  5).  There  were  no 
differences  in  methamidophos  residues  in  pulp  by  tlay 
21  (Table  6). 

There  is  a  nonrandom  source  of  variation  in  the  com- 
parison of  residue  levels  in  citrus  which  has  been  noted 
in  greenhouse  tomato  studies  with  acephate,  surface 
area-to-weight  ratios  (5). 

Confounded  with  fruit  size  is  varietal  rind  thickness. 
Valencia  orange  rind  thickness  has  been  reported  as 
4.0  mm  (2).  4.1  mm  (//),  and  3.0  mm  (9).  Marsh 
grapefruit  rind  thickness  has  been  noted  as  5.5  mm 
(Jl)  and  12.0  mm  (9),  Lemon  rind  thickness  has  been 
reported  as  7.3  mm  (11),  3.6  mm  (7),  and  5.0  mm 
(9).  In  addition  to  genetic  differences  in  rind  thickness, 
many  climatic  and  cultural  practices  affect  rind  thick- 
ness (7,  2,  9,  //).  In  the  present  experiment,  thick 
grapefruit  rind  with  a  low  surface  area-to-weight  ratio 
appears  to  account  for  low  pesticide  residues  in  grape- 
fruit. Future  experiments  to  compare  citrus  variety  dif- 
ferences in  residue  behavior  should  include  rind  thick- 
ness   and    surface    area    measurements    to    determine 


TABLE  3.     Statistical  comparison  of  aceplialc  residue  levels 
in  citrus  rind,  1976 


TABLE  5.     Statistical  comparison  of  metliamidophos 
residue  levels  in  citrus  rind,  1976 


Day. 

Post  Applicat 

ION 

1 

3 

5 

7 

14 

21 

Temple  orange  vs.  grapefruit 

no 

yes 

no 

yes 

no 

no 

Temple  vs.  Valencia  oranges 

yes 

yes 

no 

no 

no 

no 

Temple  orange  vs.  lemon 

yes 

no 

no 

no 

no 

no 

Temple  orange  vs.  tangerine 

yes 

no 

yes 

yes 

no 

no 

Grapefruit  vs.  Valencia  orange 

yes 

yes 

yes 

no 

no 

no 

Grapefruit  vs.  lemon 

yes 

yes 

no 

yes 

no 

no 

Grapefruit  vs.  tangerine 

no 

yes 

yes 

no 

no 

no 

Valencia  orange  vs.  lemon 

no 

yes 

no 

yes 

no 

no 

Valencia  orange  vs.  tangerine 

no 

yes 

no 

no 

no 

ntj 

Lemon  vs.  tangerine 

no 

no 

yes 

yes 

no 

yes 

NOTE:   Yes    =    means   arc  slaiisticnlly  difTcrcnt  at  O.OI    level;  no 
means  arc  not  statistically  dilTcrcnt  at  U.Ul  level  {W). 


Day.  Post  Application 


3 


Temple  orange  vs.  grapefruit  yes  no  yes  yes  no  yes 

Temple  vs.  Valencia  oranges  no  no  no  no  no  yes 

Temple  orange  vs.  lemon  yes  no  yes  yes  no  yes 

Temple  orange  vs.  tangerine  no  no  no  yes  no  no 

Grapefruit  vs.  Valencia  orange  yes  no  yes  yes  no  no 

Cirapefruit  vs.  lemon  no  no  no  no  no  yes 

Grapefruit  vs.  tangerine  yes  yes  yes  yes  no  yes 

Valencia  orange  vs.  lemon  yes  no  yes  yes  no  no 

Valencia  orange  vs.  tangerine  no  yes  no  no  no  yes 

Lemon  vs.  tangerine  yes  yes  yes  yes  no  yes 


See  NOTE.  Table  3. 


170 


Pesticides  Monitoring  Journai 


TABLE  6.     Slalislical  comparison  of  melhamidophos 
residue  levels  in  citrus  pulp,  1976 


TABLE  7.     Acepluitc  and  melhamidophos  first-order 
disappearance  in  Florida  citrus,  7-21-day  data,  1976 


Day, 

Post  Applicat 

ION 

Slope 

(HALF-LIFE,  DAYS) 

1 

3 

5 

7 

14 

21 

r 

Temple  orange  vs.  grapefruit        yes 

no 

no 

yes 

yes 

no 

Metha- 

ACE- 

Metha- 

ACE- 

Metha- 

ACE- 

Temple  vs.  Valencia  oranges        no 

no 

yes 

no 

no 

no 

MIDOPHOS 

PHATE 

MIDOPHOS 

PHATE 

MIDOPHOS 

phate 

Temple  orange  vs.  lemon              yes 

no 

no 

yes 

no 

no 

Temple  orange  vs.  tangerine        yes 

yes 

no 

yes 

yes 

no 

Temple  orange 

Grapefruit  vs.  Valencia  orange    yes 

no 

yes 

yes 

yes 

no 

Rind 

-0.07 

-0.10 

9.9 

6.9 

-0.57  = 

-0.94' 

Grapefruit  vs.  lemon                     yes 

no 

no 

yes 

yes 

no 

Pulp 

0.32 

-0.06 

2.2 

11.6 

-0.79  = 

-0.98» 

Grapefiuit  vs.  tangerine                yes 

yes 

no 

yes 

yes 

no 

Grapefruit 

Valencia  orange  vs.  lemon           yes 
Valencia  orange  vs.  tangerine      yes 
Lemon  vs.  tangerine                      no 

no 
yes 

yes 

no 
yes 
no 

yes 
yes 
yes 

no 
no 
no 

no 
no 
no 

Rind       -0.07 
Pulp        -0.05 
Valencia  orange 
Rind       -0.05 
Pulp           0.32 

-0.05 
-0.08 

-0.05 
0.03 

9.9 
13.9 

13.9 

2.2 

13.9 
8.7 

13.9 
23.1 

-0.86  = 
-0.38 

-0.68  = 
0.86  ••! 

-0.68  = 
-0.99' 

See  NOTE,  Table  3. 

-0.77  = 
0.99  » 

whether  any  differences  in 

residue 

levels  cou 

d  be  due 

Lemon 
Rind 

-0.08 

-0.11 

8.7 

6.3 

-0.99-- 

-0.99' 

to  fruit  structure. 

Pulp 
Tangerine 

-0.13 

-0.04 

5.3 

17.3 

-0.69  = 

-0.81  = 

Penetration  of  both  compounds  into  rind 
plicates  data  analyses.  The  overall  data 

and  pulp 
actually 

corn- 
show 

Rind 
Pulp 
Averages 

-0.07 
-0.10 

-0.05 

9.9 
6.9 

13.9 

-0.45 
-0.87  = 

-0.79  = 

that  the  appearance  of  residue  is 

due 

to  penetration. 

Rind 
Pulp 

10.5 
6.1 

10.3 
15.0 

The  fit  to  a  first-order  dis 

anneara 

nee  model 

is  corre- 

spondingly  poor,  ranging  from  a  low  of  r  =  0.02  for 
acephate  in  Valencia  pulp  to  a  high  of  r  ^  — 0.79 
for  acephate  in  lemon  rind.  However,  when  data  from 
days  7  (ma.\imum  concentration),  14,  and  21  are  used, 
disappearance  is  clearer  (Fig.  1). 

There  are  still  positive  correlations  for  melhamidophos 
in  Temple  and  Valencia  orange  pulp  which  reflect  an 
appearance  of  the  compound  in  the  pulp,  and  the  tan- 
gerine rind  data  for  acephate  do  not  fit  a  first-order 
model.  Based  on  7-,  14-,  and  21 -day  data  the  half-life 
averages  are  10.5  days  and  10.3  days  for  melhami- 
dophos and  acephate,  respectively,  in  fruit  rind,  and 
6.1  days  and  15.0  days  for  melhamidophos  and  ace- 
phate, respectively,  in  pulp  (Table  7). 

The  data  presented  for  acephate  and  melhamidophos 
show  that  both  compounds  disappear  under  Florida 
conditions  after  reaching  maximum  penetrated  residues 
on  day  7.  Acephate  was  below  3  ppm  in  rind  14  days 
after  application  and  never  reached  3  ppm  in  pulp.  Pen- 
etrated residues  of  melhamidophos  reached  an  average 
level  of  less  than  0.25  ppm  21  days  after  application. 

LITERATURE  CITED 

(/)  Chace,  E.  A/..  C.  P.  Wilson,  and  C.  G.  Church.  1921. 
The  composition  of  California  lemons.  U.S.  Depart- 
ment of  Agriculture  Bulletin  No.  993,  18  pp. 

(2)  Cooper,  W.  C,  A.  Peynado,  J.  R.  Furr,  R.  H.  Hilge- 
man,  C.  A.  Cahoon,  and  S.  B.  Boswell.  1963.  Tree 
growth  and  fruil  quality  of  Valencia  oranges  in  rela- 
tion to  climate.  Proc.  Amer.  Soc.  Hon.  Sci.  82:180- 
192. 


'fVi  =  ln(0.5) /slope. 

=  Significant  at  5  percent  level  (6). 

'Significant  at  1  percent  level  or  higher  (6), 


(J)  Gunther,  F.  A.  1969.  Insecticide  residues  in  Califor- 
nia citrus  fruits  and  products.  Residue  Rev.  28:1-127. 

(■#)  Leary,  J.  B.  1974.  Gas-liquid  chromatographic  deter- 
mination of  acephate  and  Ortho  9006  residues  in 
crops.  J.  Assoc.  Off,  Anal.  Chem.  57(  1) :  189-191. 

(5)  Leidy,  R.  B..  T.  J.  Sheets,  and  K.  A.  Sorensen.  1978. 
Residues  of  acephate  and  melhamidophos  in  green- 
houses. L  Amer.  Soc.  Hon.  Sci.  103(3)  :392-394. 

(6)  Morrison,  D.  F.  1967.  Multivariate  Statistical  Methods, 
p.  104.  McGraw-Hill,  New  York,  N.Y. 

(7)  Newell.  W.,  and  A.  C.  Brown.  1939.  Eradication  of 
the  citrus  blackfly  in  Key  West,  Fla.  J.  Econ.  Entomol. 
32(5):680-682. 

(5)  Reinert,  J.  A.  1976.  Citrus  blackfly  control  by  foliar 
treatments  of  dooryard  citrus.  Proc.  Fla.  State  Hort. 
Soc.  89:365-366. 

(9)  Reuther,  W.,  and  D.  Rios-Castano.  1969.  Comparison 
of  growth,  maturation,  and  composition  of  citrus 
fruits  in  subtropical  California  and  tropical  Califor- 
nia. Proc.  Isl  Int.  Citrus  Symp.  1 :277-300. 

(10)  Steel,  R.  G.  D.,  and  J.  H.  Torie.  1960.  Principles  and 
Procedures  of  Statistics,  p.  76.  McGraw-Hill,  New 
York,  N.Y. 

(//)  Turrell,  F.  M..  S.  P.  Monselise,  and  S.  W.  Austin. 
1964.  Effect  of  climatic  district  and  of  location  in  tree 
on  tenderness  and  other  physical  characteristics  of 
citrus  fruit.  Bot.  Gaz.  125(3) :  158-170. 


Vol.  12,  No.  4,  March  1979 


171 


FISH,  WILDLIFE,  AND  ESTUARIES 


Effects  of  Organochlorine  Residues  on  Eggshell  Thickness,  Reproduction, 

and  Population  Status  of  Brown  Pelicans  (Pelecanus  occidentalis) 

in  South  Carolina  and  Florida,  1969—76 

Lawrence  J.  Blus,'  Thair  G.  Lamont,"  and  Burkett  S.  Neely,  Jr.' 


ABSTRACT 

Shells  of  brown  pelican  (Pelecanus  occidentalis)  eggs  col- 
lected in  South  Carolina  from  1969  through  1975  and  in 
Florida  during  1969,  1970,  and  1974  were  significantly 
thinner  (P  >  0.05)  than  eggshells  collected  before  1947. 
Thickness  of  South  Carolina  eggshells  increased  in  1975, 
and  mean  thickness  of  eggshells  collected  in  Florida  during 
1974  was  greater  than  that  of  eggshells  collected  during  1969 
and  1970,  primarily  in  Gulf  Coast  colonies. 

Residues  of  13  organochlorines  were  found  in  eggs  and 
tissues  of  pelicans  found  dead  during  1974  and  1975,  al- 
though residues  in  brains  of  these  specimens  were  not  high 
enough  to  cause  death.  Residues  of  organochlorines,  except 
PCBs,  declined  through  1975.  PCBs  increased  in  eggs  from 
Atlantic  Coast  colonies. 

Reproductive  success  and  population  status  of  brown  peli- 
cans in  South  Carolina  have  improved  markedly  since 
authors  began  their  studies  in  1969.  Good  reproductive 
succes'i  was  reported  in  3  of  5  years  from  1973  through  1977. 

Introduction 
This  is  part  of  a  series  of  papers  on  the  effects  of  en- 
vironmental pollutants  on  the  brown  pelican  (Pelecanus 
occidentalis).  In  previous  papers,  organochlorine  resi- 
dues in  brown  pelicans  have  been  related  to  eggshell 
thinning  (6.  7),  reproductive  success  (9),  adult  mor- 
tality (5,  10),  population  decline  (4),  and  possible  ex- 
tirpation of  a  population  in  Louisiana  {8).  The  objective 
of  the  present  study  is  to  further  explore  effects  of  or- 
ganochlorines on  brown   pelicans,   particularly  the  sig- 


'Fish  and  Wildlik  Service.  US  ncparlmcnt  of  the  Interior.  Patuxent 
Wildlife  Research  Center.  Laurel.  MD  20811.  Present  address:  Pacific 
Northwest  Field  Station,  480  S.W.  Airport  Road.  Corvallis.  OR  973.10. 

^Fish  and  Wildlife  Service.  U.S.  Department  of  the  Interior,  Patuxent 
Wildlife  Research  Center.  Laurel,  MI)  20811. 

"Fish  and  Wildlife  Service.  U.S.  Department  of  the  Interior.  Division 
of  Wildlife  Refuge,  Washington,  DC  20240. 


nificance  of  declining  residues.  Emphasis  is  placed  on 
data  gathered  during  1974-76,  but  data  from  1969  on- 
ward are  used  to  show  trends  over  8  years. 

Procedures  jar  Sampling,  Necropsy,  and  Field  Study 
Most  procedures  have  been  described  in  previous  papers 
(4,  10).  Brief  visits  were  made  to  brown  pelican  colo- 
nies in  South  Carolina  in  1969,  1970,  and  1976  and 
to  Florida  colonies  in  1969,  1970,  and  1974.  The  two 
brown  pelican  nesting  colonies  in  South  Carolina, 
Deveaux  Bank  and  Marsh  Island,  Cape  Remain  Na- 
tional Wildlife  Refuge  (CRNWR),  were  studied  in- 
tensively in  the  spring  and  summer  each  year  from  1971 
through  1975.  Censuses  were  made  of  total  nests  and 
fledged  young  in  both  South  Carolina  colonies  from 
1969  through  1976.  However,  most  accurate  data  were 
collected  during  1971-75  when  a  number  of  visits  were 
made  to  each  colony  during  each  nesting  season.  Addled 
and  viable  eggs  in  all  stages  of  incubation  were  collected. 
One  egg  was  usually  taken  from  each  nest  selected  for 
sampling.  Eggs  were  weighed  and  measured,  and  their 
contents  were  placed  in  chemically  cleaned  glass  bottles 
and  frozen.  Eggshells  were  thoroughly  washed  with  tap 
water  and  allowed  to  dry.  Shell  thickness  (shell  plus 
shell  membranes)  was  measured  at  three  sites  on  the 
waist  of  the  egg  with  a  micrometer  graduated  in  units 
of  0.01  mm. 

Nests  with  full  clutches  and  nests  from  which  one  egg 
was  collected  were  marked  on  Marsh  Island  to  determine 
their  success.  Marked  nests  were  checked  for  eggs  or 
young  on  each  visit  to  the  colony;  colonies  were  visited 
twice  a  week  for  up  to  1  hour. 

Several  dead  pelicans  and  samples  of  fish  regurgitated 
by  pelicans  were  collected  and  fro/en.  The  pelicans 
were  removed   from   the   freezer  several   months   later. 


172 


Pesticides  Monitoring  .Iournai 


thawed,  and  subsequently  necropsied.  Tissues  for  histo- 
logical study  were  fixed  in  10  percent  formalin,  em- 
bedded in  paraffin,  sectioned,  and  stained.  The  entire 
brain  was  removed  and  placed  in  a  chemically  cleaned 
glass  bottle,  and  the  carcass,  except  for  skin,  feet,  wings, 
liver,  kidney,  and  gastrointestinal  tract,  was  wrapped  in 
foil  and  refrozen.  Brains  and  carcasses  were  later  ana- 
lyzed for  organochlorine  residues. 

A  nalytical  Procedures 

The  contents  of  eggs  collected  during  1969-71  were 
homogenized.  A  20-g  portion  was  mixed  with  anhydrous 
sodium  sulfate  in  a  blender  and  extracted  for  7  hours 
with  hexane  in  a  Soxhlet  apparatus.  The  extract  was 
cleaned  by  acetonitrile  partitioning  and  was  eluted  on 
partly  deactivated  Florisil.  For  pesticide  analyses,  resi- 
dues in  the  cleaned  extract  were  separated  and  removed 
in  four  fractions  from  a  silica  gel  thin-layer  plate  (17). 
Each  thin-layer  fraction  was  analyzed  by  electron- 
capture  gas  chromatography  (GC)  on  a  column  of  3 
percent  OV-1  or  3.8  percent  UCW-98  on  Chromosorb 
W-HP.  2DDT  in  fractions  III  or  IV  was  confirmed  on 
a  column  of  3  f)ercent  XE-60  or  3  percent  QF-1  Gas- 
Chrom  Q.  Polychlorinated  biphenyls  (PCBs)  were 
identified  and  measured  semiquantitatively  by  thin-layer 
chromatography  (16).  Average  recoveries  of  organo- 
chlorine pesticides  and  their  metabolites  were  75-112 
percent. 

Methodology  was  modified  for  eggs  collected  from  1972 
to  1975  (11).  The  extract  of  the  10-g  portion  was 
cleaned  on  a  Florisil  column.  Pesticides  and  PCBs  were 
separated  into  three  fractions  on  a  Silicar  column  and 
analyzed  by  GC  on  a  column  packed  with  a  mixture  of 
4  percent  SE-30  and  6  percent  QF-1.  This  methodology 
enabled  authors  to  detect  toxaphene,  cw-chlordane, 
and/or  /ra«i-nonachlor,  and  c;j-nonachlor.  Until  1973, 
there  was  neither  a  c/.s-nonachlor  standard  for  quantifi- 
cation nor  a  procedure  to  estimate  toxaphene  levels. 
Lipids  were  removed  from  the  eggs  collected  during 
1974-75  either  by  Florisil  cleanup  or  by  automated  gel 
permeation  chromatography.  In  1974,  r/5-chlordane  and 
/ra;!i-nonachlor  were  separated  and  quantified  by  chang- 
ing the  column  packing  to  a  mixture  of  1.5  percent  OV- 
17  and  1.95  percent  QF-1. 

Residues  in  about  10  percent  of  the  samples  were  con- 
firmed by  combined  gas  chromatography-mass  spec- 
trometry (GC-MS).  Average  recoveries  from  spiked 
chicken  eggs  were  81-1 10  percent;  residues  are  not  cor- 
rected for  recovery  values.  The  lower  limit  of  detection 
for  pesticides  or  their  metabolites  was  0.01  Mg/g  in  fish 
and  0.10  Mg/g  in  other  samples  (0.01  Mg/g  for  hexa- 
chlorobenzene).  The  lower  limit  for  PCBs  was  0.05 
Mg/g  in  fish  and  0.50  Mg/g  in  other  samples. 


Results 

REPRODUCTIVE  SUCCESS  AND  POPULATION  STATUS 

From  1969  through  1972  (10)  and  for  previous  years 
(3),  reproductive  success  of  South  Carolina  pelicans  was 
below  the  recruitment  standard  of  1.2-1.5  fledged  young 
per  breeding  female  per  year  that  is  necessary  to  main- 
tain a  stable  population  (14).  Following  a  successful 
reproductive  season  in  1973,  pelicans  experienced  poor 
success  in  1974  and  1975,  then  had  successful  reproduc- 
tive seasons  in  1976  (Table  1)  and  1977  (Vivian  Men- 
denhall.  Fish  and  Wildlife  Service,  U.S.  Department  of 
the  Interior,  1977:  personal  communication). 

Except  in  1969,  reproductive  success  was  higher  on 
Deveaux  Bank  than  on  Marsh  Island  (Table  1).  How- 
ever, there  was  a  significant  positive  correlation 
(r  =  0.797.  P  <  0.05)  between  young  fledged  per  nest 
in  the  two  colonies  over  the  8  years  considered  in  the 
present  report.  Thus  reproductive  success  in  one  colony 
paralleled  that  in  the  other  colony.  Lower  reproduction 
on  Marsh  Island  was  attributed  to  tidal  flooding  of  nests 
each  year,  a  rare  occurrence  on  Deveaux  Bank.  Many 
of  the  pelicans  with  flooded  nests  laid  a  second  clutch, 
but  replacement  clutches  also  were  frequently  laid  in 
low  areas  that  were  eventually  flooded. 

The  size  of  the  breeding  population  of  brown  pelicans  in 
South  Carolina  slowly  increased  from  1969  through 
1974  and  then  increased  41  percent  from  1974  to  1975 
as  follows:  1,266  pairs  in  1969;  1,670  pairs  in  1974; 
2,400  pairs  in  1975;  and  3,300  pairs  in  1977. 


TABLE  1. 


Reproductive  success  of  brown  pelicans 
in  South  Carolina,  1969-76 


No.  OF 

Young 

No.  OF 

Young 

Fledged 

Year 

Colony 

Nests 

Pledged 

per  Nest 

1969 

Cape  Remain 

1016 

900' 

0.821 

Deveaux  Bank 

250' 

80 

0.321 

Both  Colonies 

1266 

980 

0.78 

1970 

Cape  Remain 

6J7 

500' 

0.78' 

Deveaux  Bank 

479 

445 

0.93 

Both  Colonies 

1116 

945 

0.85 

1971 

Cape  Remain 

1094 

949 

0.87 

Deveaux  Bank 

375 

400 

1.07 

Both  Colonies 

1469 

1349 

0.92 

1972 

Cape  Remain 

763 

514 

0.67 

lOeveaux  Bank 

652 

456 

0.70 

Both  Colonies 

1415 

970 

0.69 

1973 

Cape  Remain 

836 

1082 

1.29 

Deveaux  Bank 

810 

1644 

2.03 

Both  Colonies 

1646 

2726 

1.66 

1974 

Cape  Romain 

920 

825 

0.90 

Deveaux  Bank 

750 

800 

1.07 

Both  Colonies 

1670 

1625 

0.97 

1975 

Cape  Romain 

900 

500 

0.56 

Deveaux  Bank 

1500 

1300 

0.87 

Both  Colonies 

2400 

1800 

0.75 

1976 

Cape  Romain 

1440 

1399 

0.97 

Deveaux  Bank 

11001 

1738' 

1.58' 

Both  Colonies 

2540 

3137 

1.23 

'Estimated  numbers — all  other  figures  are  based  on  actual  counts. 


Vol.  12,  No.  4,  March  1979 


173 


TABLE  2. 


Year        Sex 


Probable  causes  of  brown  pelkan  inorialily, 
South  Carolina,  1974-75 


Age 


Probable  Cause  of  Mortality 


1974 


F 

4  weeks 

F 

6  weeks 

F 

12  weeks 

1975 


sacrificed,  had  subcutaneous  emphysema 

hemorrhafiic  cnlcrilis  in  ctimbination 

with  severe  pecking  injuries 

respiratory  problems — apparent  air 

saculitis 

sacrificed,  bird  was  near  death  of  diarrhea 

and  excessive  fluid  in  lungs,  air  sacs,  and 

pericardium 

hemorrhagic  enteritis 

hemorrhagic  enteritis 


M 


M 
M 


8  weeks 


adult 
adult 


MORTALITY 

Pelicans  died  of  possible  starvation  and  several  diseases. 
Hemorrhagic  enteritis  caused  the  death  of  at  least  two 
of  the  si,\  adults  found  dead  on  Deveaux  Bank  April  9, 
1975  (Table  2).  These  pelicans  apparently  had  recently 
migrated  to  South  Carolina.  Many  brown  pelicans  that 
breed  in  South  Carolina  winter  on  the  Atlantic  Coast 
of  Florida  where  hemorrhagic  enteritis  was  responsible 
for  many  deaths  of  the  birds  in  1972  {10,  20). 

In  1974,  a  6-week-old  pelican  apparently  died  of 
hemorrhagic  enteritis  and  severe  pecking;  the  pecking 
probably  occurred  when  the  sick  young  was  attacked 
by  hostile  young  and  adults.  A  12-week-old  pelican  ap- 
parently died  of  respiratory  problems  including  air  sacu- 
litis. One  of  two  young  sacrificed  in  1974  (Table  2)  was 
near  death,  and  the  other  had  subcutaneous  emphy- 
sema, a  condition  that  is  rarely  fatal  (13). 

Several  hundred  downy  young  were  found  dead  on 
Deveaux  Bank  in  1974.  Little  regurgitated  food  was 
observed  during  visits  to  the  colony  compared  to  visits 
in  other  years,  and  except  for  the  usual  heavy  mortality 
after  hatching,  the  deaths  involved  young  at  least  4 
weeks  old,  an  age  when  food  demand  rapidly  increases. 

EGGSHELL  THICKNESS 

Mean  eggshell  thickness  of  brown  pelican  eggs  col- 
lected in  South  Carolina  (Table  3)  was  10-17  percent 


less  than  the  pre- 1947  mean  of  0.557  mm  (/).  The  sig- 
nificant increase  {P  <  0.05)  in  mean  shell  thickness  in 
1975,  compared  to  the  6  preceding  years,  initiated  an 
upward  trend  extending  to  1977  (Vivian  Mendenhall: 
personal  communication). 

Overall  eggshell  thickness  of  pelican  eggs  in  Florida 
increa.sed  slightly  from  1969-70  to  1974  (Table  3);  it 
increased  markedly  in  the  Gulf  Coast  colonies  and  re- 
mained unchanged  in  the  Atlantic  Coast  colonies 
(Tables  4,  5).  Shell  thickness  of  Gulf  Coast  pelican  eggs 
collected  in  1974  averaged  just  2  percent  less  than  the 

pre- 1947  mean,  whereas  Atlantic  Coast  eggs  averaged 
1 1  percent  less.  There  were  insufficient  data  to  com- 
pare trends  in  shell  thickness  in  Florida  Bay  colonies 
(Table  4).  In  addition  to  South  Carolina  and  Florida, 
eggshell  thickness  of  brown  pelicans  has  been  increasing 
in  California  (2)  and  Louisiana  (5), 

RESIDUES  IN  EGGS 

PCB  and  DDE  residues  made  up  the  bulk  of  the  13 
organochlorines  identified  in  eggs  of  brown  pelicans 
(Tables  6-8).  Residues  in  pelican  eggs  in  1974—75 
followed  the  same  pattern  in  each  of  the  two  South 
Carolina  colonies:  there  was  a  similarity  in  mean  resi- 
dues of  each  organochlorine  in  a  given  year,  there  was 
much  individual  variation  in  residues  of  each  organo- 
chlorine, and  there  was  a  general  decline  in  residues  of 
most  organochlorines  (Table  9).  These  patterns  and 
trends  were  also  evident  in  samples  collected  from  1969 
through  1973  {4,  10).  Residues  of  DDE,  DDT,  and 
:^DDT  declined  steadily  from  1969  through  1975, 
whereas  TDE  declined  steadily  to  1973  and  then  in- 
creased somewhat.  Dieldrin  declined  until  1971  and 
then  remained  essentially  stable  through  1975.  PCB 
residues  were  erratic  and  followed  no  definite  trend. 

From  1969-70  to  1974  (Table  10),  there  were  signifi- 
cant declines  (P  <  0.05)  in  DDE,  TDE,  DDT,  and 
2DDT  in  brown  pelican  eggs  from  four  regions  of  the 
southeastern  United  States;  dieldrin  decreased  signifi- 
cantly (P  <  0.05)  in  South  Carolina  and  along  the  At- 


TABLF.  3.     Shell  thickness  of  brown  pelican  ef>gs.  1969-75.  compared  to  pre-1947  levels 


Eggshell  Thickness.  mm> 

Pre-1947 

1969 

1970 

1971                          1972 

1973 

1974 

1975 

SOUTH  CAROLINA 

0.557  i:  A-' 
0.012  (23) 

0.46.1  ±  D 
0.0t)6  (49) 

0.461  ±  D 
0.007  (38) 

0.480  ±  C                  0.470  ±  CD 
0.005  (65)                0.005  (67) 

0.463  ±  D 
0.003  (104) 

0.469  ±  CD 
0.004  (116) 

0.499  ±  B 
0.004  (95) 

FLORIDA 

0.557  ±  A 
0.003  (169) 

0.516  i:  B 
0.005  (89) 

0.511  ±  B 
0.004  (144) 

0.521  ±  B 
0.004  (122) 

<  Mean  ±  standard  error;  sample  size  in  parentheses. 

-A  significant  difference  anions  thickness  means  (/"  <  0.05)  is  indicated   for  those  means  not  sharing  a  common  letter.    Means  were  separated  by 

multiple  range  tests  (12.  15). 


MA 


Pesticides  Monitoring  Journai 


TABLE  4.     Shell  thickness  of  brown  pelican  eggs 
from  Florida  colonies,  1969-70,  1974 


Eggshell  THrcKNEss,  mm> 


Colony 


1969 


1970 


ATLANTIC  COAST 


Port 

Orange       0.488  ±  0.012  (9)       0.497  ±  0.009  (9)       0.476  ±  0.013  (14) 
Crane  Island  —  0.491  rt  0.009  ( HI)  — 

Cocoa 

Beach        0.497  ±  0.01  M  111)     0.482  ±  0.019  ( 101     0.499  ±  0.010  (15) 
Pelican 

Island         0.499  +  0.012(10)     0.498  ±  0.017  (9)       0.499: 
Fort  Pierce    0.513  ±  0.012  (6)       0.504  ±  0.(X)9  (9)       0.508: 


;  0.010  (14) 
:  0.011  (8) 


FLORIDA  BAY 


Nest  Key  —  0.532  ±  0.012  (10) 

Buchanan 

Key  0.530  ±0.015  (31  0.545^0.013(10) 

Fanny  Key  —  0.523  ±  0.019  (7) 

Marquesas 

Key  —  0.541  ±0.012  (10) 


0.523  ±0.016  (9) 


GULF  COAST 


0.547  ±0.009  (15) 


Seahorse 

Key  0.530  ±0.015  (6)  0.531  ±  0.016  ( 10) 

Tarpon  Key  0.509  ±  0.015  (8)  11.487  ±  0.015  ( 10) 

Cortez  —  0.502  ±0.012  (10) 

Bird  Key  0.559  ±  0.014  ( 10)  0.517  ±  0.014  ( 10) 
Matlacha 

Pass  0.522  ±  0.023  (9)  0.504  ±  0.019  ( 10) 
Hemp 

Island  0.516  ±0.012  (10)  0.519  ±  0.015  ( 10) 


0.534: 
0.549  : 


:  0.010  (15) 
0.013  (15) 


0.549  ±  0.012  (15) 


'See  footnote  1.  Table  3. 

TABLE  5.     Shell  thickness  of  brown  pelican  eggs 

from  the  Gulf  and  Atlantic  Coasts  of  Florida, 

1969-70,  1974 


Eggshell  Thickness, 

MM' 

1969 

1970 

1974 

GULF  COAST 

0.528  ±  AS - 
0.007  (43) 

0.510  ±  A 
0.006  (60) 

0.545  ±  B 
0.006  (60) 

ATLANTIC  COAST 

0.498  ±  A 
0.006  (35) 

0.494  ±  A 
0.006  (47) 

0.494  ±  A 
0.006  (51) 

'See  footnote  1,  Table  3. 
'See  footnote  2,  Tabic  3. 


lantic  Coast  of  Florida,  remained  stable  in  Florida  Bay, 
and  increased  slightly  on  the  Gulf  Coast.  In  contrast, 
PCBs  increased  significantly  (P  <  0.05)  in  two  areas 
and  showed  little  change  in  the  other  two  areas.  The 
most  striking  change  was  on  the  Atlantic  Coast  of 
Florida  where  the  PCB  residues  more  than  doubled  from 
1969-70  to  1974.  The  DDE: PCB  ratio  changed  dra- 
matically in  most  areas.  For  example,  the  ratio  was 
appro.\imately  1 : 1  on  the  Atlantic  Coast  of  Florida  in 
1969-70  and  1:6  in  1974.  DDT  residues  were  rarely 
found  in  1974  samples.  The  order  of  decreasing  organo- 
chlorine  contamination,  by  area,  in  pelican  eggs  during 


each  sampling  period  was:  South  Carolina  >  Florida 
Atlantic  Coast  >  Florida  Gulf  Coast  >  Florida  Bay 
(Table  10).  Eggs  collected  from  the  Gulf  Coast  and 
Florida  Bay  colonies  in  1974  were  essentially  devoid  of 
organochlorine  residues. 

RESIDUES  IN  TISSUES 

Birds  found  dead  were  analyzed  for  organochlorine 
residues.  Residues  in  tissues  of  four  pre-fledgling  peli- 
cans found  dead  in  South  Carolina  in  1974  were  as  low 
as  those  reported  previously  in  other  young  pelicans 
(4,  10).  Six  freshly  dead  adult  pelicans  were  found  on 
Deveaux  Bank  April  9,  1975. 

Residues  in  three  male  adults  were  much  higher  than 
in  the  young  birds  collected  in  1974,  but  residues  in 
their  brains  were  below  lethal  levels  (Table  11). 

RESIDUES  IN  FISH 

Breeding  brown  pelicans  in  South  Carolina  feed  almost 
exclusively  on  young-of-the-year  Atlantic  menhaden 
(Breevoortia  tyranniis)  that  hatch  off  the  coast  from 
October  through  April  and  migrate  into  the  estuaries  as 
larvae  where  they  usually  remain  for  6-8  months  (19). 
Residues  of  DDE  in  menhaden  in  1974  and  1975  were 
much  lower  than  those  reported  in  1973  {10);  DDT  and 
dieldrin  were  found  in  most  1973  samples  but  were  not 
detected  in  1974-75  samples  (Table  12).  PCB  resi- 
dues averaged  about  the  same  in  1973  and  1974  but 
declined  substantially  in  1975. 

Discussion 
Because  trips  to  Deveaux  Bank  were  infrequent,  it 
could  not  be  established  that  starvation  was  responsible 
for  the  deaths  of  downy  young  in  1974.  Both  young 
that  were  necropsied  exhibited  signs  of  disease  that  may 
or  may  not  have  been  related  to  starvation  (Table  2). 
There  were  no  apparent  deaths  of  downy  young  on  the 
CRNWR,  about  65  km  northeast  of  Deveaux  Bank, 
although  the  pelicans  there  had  poor  reproductive  suc- 
cess and,  judging  from  regurgitated  boluses,  they  preyed 
on  a  greater  variety  of  fish  than  usual.  Therefore,  poor 
food  supply  was  probably  responsible  for  the  deaths  of 
downy  young  on  Deveaux  Bank. 

The  authors  previously  suggested  that  migration  of 
Atlantic  menhaden  complicate  interpretation  of  biomag- 
nification  of  residues  from  fish  to  pelican  eggs  {10) 
because  adult  menhaden  are  exposed  to  varying  levels 
of  organochlorine  residues  during  migration.  However, 
authors  have  since  determined  that  breeding  pelicans 
in  South  Carolina  feed  almost  exclusively  on  young-of- 
the-year  menhaden  that  apparently  accumulate  nearly 
all  their  residues  from  local  estuaries.  The  interpreta- 
tion of  biomagnification  is  still  complicated  by  the 
migratory  behavior  of  the  brown  pelican  that  exposes 
it  to  several  habitats  with  differing  degrees  of  organo- 
chlorine pollution. 


Vol.  12,  No.  4,  March  1979 


175 


TABLE  6.     Orgcinnchlorinc  residues  in  brown  pelican  e,;',i?.v,  Soulh  Ciirolinii,  1974 


Residues,  juo/g  fresh  wet  weight 

DDE 

TDE 

DDT 

DiELDRIN 

Hepta-                                               cis- 

CHLOR                                OXYCHLOR-   CHLOR- 
EPOXIDE        MIREX               DANE              DANE 

trans- 

NONA- 
CHLOR 

cis- 

NONA- 
CHLOR 

HCB     TOXAPHENE 

PCBs 

MARSH  ISLAND 

1.89 
1.43 
1.37 
1.56 
1.70 
2.39 
1.35 
1.51 
1.65 
1.65 
1.67 
1.00 
7.03 
2.46 
1.33 
3.83 
2.36 
1.37 
1.75 
4.69 
1.95 
2.75 
1.86 
3.42 
1.40 
2.94 
3.79 
5.85 
5.51 
1.22 
2.45 
2.82 
3.80 
4.13 
2.21 
2.38 
5.91 
0.81 
3.90 
1.40 
3.86 
5.57 
2.41 
1.53 
2.38 
5.00 
3.04 
3.68 
2.67 
2.99 
1.95 
1.95 
2.08 
1.07 


0.60 
0.48 
0.48 
0.46 
0.48 
0.58 
0.46 
0.38 
0.37 
0.38 
0.30 
0.32 
1.48 
0.36 
0.39 
0.91 
0.47 
0.35 
0.42 
1.80 
0.57 
0.60 
0.45 
0.64 

0.34 


0.16 
0.41 

0.78 
0.59 
0.47 
0.40 
1.25 
0.19 
0.68 
0.34 
0.63 
1.09 
0.63 
0.26 
0.59 
0.90 
0.78 
0.83 
0.49 
0.67 
0.53 
0.36 
0.47 
0.23 


0.58 


0.15 


0.73 
0.34 


0.44 

0.33 

0.27 

0.39 

0.55 

0.46 

0.30 

0.40 

0.40 

0.36 

0.42 

0.27 

1.46 

0.46 

0.36 

0.96 

0.57 

0.13 

0.28 

2.89 

0.62 

0.73 

0.42 

0.73 

0.46 

0.74 

0.88 

1.27 

1.03 

0.49 

0.61 

0.86 

0.90 

0.83 

0.64 

0.71 

1.21 

0.18 

0.71 

0.31 

0.84 

1.26 

0.56 

0.26 

0.36 

1.10 

0.71 

0.71 

0.36 

0.57 

0.49 

0.38 

0.59 

0.26 


0.18 
0.15 

O.U 
0.16 
0.19 
0.16 

0.13 
0.16 


0.19 
0.15 


0.15 
0.25 
U.IO 


0.13 


0.11 


0.10 


0.14 


0.10 


0.32 


0.20 


O.U 


0.16 


0.10 


0.15 

0.13 

— 

0.41 

0.63 

0.35 

0.14 

0,21 

0.16 

0.15 

0.16 

— 

0.31 

0.34 

0.22 

0.21 

0.24 

0.18 

0.12 

0.15 

— 

0.11 

0.14 

— 

0.61 

U.71 

0.63 

0.19 

0.17 

0.15 

0.19 

0.19 

0.25 

0.16 

0.10 

0.10 

0.21 

0.11 

0.22 

0.17 

0.13 

— 

— 

— 

0.15 

0.22 

0.17 

0.31 

0.36 

0.33 

0.30 

0.35 

0.38 

0.25 

0.13 

0.17 

0.15 

0.14 

0.20 

0.27 

0.24 

0.24 

0.22 

0.17 

0.19 

0.18 

0.17 

0.16 

0.23 

0.14 

0.13 

0.16 

0.40 

0.42 

0.45 

0.15 

0.11 

O.U 

0.23 

0.19 

0.11 

0.22 

0.24 

0.17 

0.44 

0.39 

0.31 

0.24 

0.22 

0.15 

0.11 

0.16 

— 

0.10 

— 

0.10 

0.45 

0.47 

0.45 

0.28 

0.28 

0.18 

0.27 

0.32 

0.17 

0.16 

0.16 

0.14 

0.22 

0.30 

0.15 

0.14 

0.12 

0.22 

0.16 

0.20 

0.12 

0.25 

0.23 

0.16 

0.11 

0.15 

— 

0.27 

5.60 

0.12 

4.15 

0.18 

5.25 

0.11 

6.87 

1.88 

7.57 

0.12 

7.98 

— 

4.34 

0.21 

8.30 

0.22 

4.19 

0.19 

7.02 

0.18 

6.90 

0.15 

5.40 

0,83 

18.09 

0.15 

13.80 

0.21 

9.21 

0.38 

13.88 

0.29 

11.80 

0.20 

7.66 

0.17 

17.00 

— 

13.00 

— 

6.49 

— 

10.50 

— 

5.69 

— 

1 1 .70 

— 

8.15 

— 

12.50 

— 

7.10 

— 

22.11 

— 

21.80 

— 

7.34 

— 

8.53 

— 

12.15 

— 

11.65 

— 

9.80 

— 

8.19 

— 

7.38 

— 

17.72 

— 

6.39 

— 

8.28 

0.21 

0.70 

0.46 

11.33 

0.82 

14.04 

0.46 

7.05 

0,17 

8.02 

0.17 

5.47 

0.57 

27.48 

0.58 

14.43 

0.39 

11.77 

0.23 

5.10 

0.37 

9.90 

0.35 

2.30 

— 

8.80 

— 

8.00 

0.35 

5.80 

GM 
CL 

Range 


2.35  0.41 

2.04-2.70  0.34-0.51 
0.81-7.03    ND-1.80 


0.55 

0.47-0.63 
ND-0.73  0.17-2.89 


ND-0.32   ND-0.20 


0.17 

0.14-0.20 
ND-O.U    ND-0.51 


0.16  0.12 

0.13-0.19   0.10-0.15 
ND-0.71    ND-0.63 


0.13 

0.10-0.17 
ND-0.10   ND-1.88 


8.32 

7.10-  9.76 
0.70-27.48 


DEVEAUX  BANK 


1.50 
1.27 
0.65 
1.36 
1.48 
1.84 
1.48 
1.93 
0.89 
2.44 
2.70 
2.18 
1.20 
2.30 


0.50 

0.38 
0.35 
0.37 
0.38 
0.48 
0.47 
0.56 
0.22 
0.76 
0.61 
0.40 
0.34 
0.59 


0.36 

0.33 
0.34 
0.29 
0.33 
0,45 
0.45 
0.59 
0.26 
0.66 
0.81 
0.62 
0.26 
0.54 


0.30 


0.20 


0.11 

0.09 

— 

0.10 

— 

— 

0.14 

0.13 

0.09 

0.09 

0.21 

0.09 

— 

0.18 

— 

0.22 

0.12 

— 

— 

0.14 



0.23 

0.19 

0.15 

0.18 

0.19 

0.15 

0.17 

0.23 

— 

_- 

0.17 



O.U 

0.22 

0.10 

—             0.32 

5.01 

—              0.20 

5.16 

—              0.22 

4.07 

—              0.21 

5.00 

—               — 

1.90 

—                — 

8.14 

—               — 

7.53 

—               — 

12.00 

—               — 

4.24 

_               — 

11.07 

-                — 

9.82 

-                — 

12.16 

-               — 

4.80 

-               — 

7.58 

(Continued  next  page) 
176 


Pesticides  Monitoring  Journal 


TABLE  6   (Cont'd.)      Organochlorine  residues  in  brown  pelican  eggs,  South  Carolina,  1974 


Residues,  ^o/g  fresh  wet  weight 


TDE 


DDT        DIELDRIN 


Hepta- 

CHLOR 

Epoxide 


MiREX 


en- 

OXYCHLOR-    ChLOR- 

DANE  DANE 


trans- 

NONA- 
CHLOR 


CIS- 
NONA- 
CHLOR 


HCB     TOXAPHENE        PCBs 


1.40 

0.34 

2.50 

— 

3.53 

0.95 

2.29 

0.37 

2.42 

0.59 

2.99 

0.69 

1.70 

0.46 

1.72 

0.37 

1.60 

0.31 

2.19 

0.50 

1.65 

0.43 

2.08 

0.45 

2.02 

0.52 

1.15 

0.42 

1.43 

0.42 

2.87 

0.48 

2.11 

0.37 

1.36 

0.21 

1.37 

0.31 

0.74 

0.23 

0.78 

0.16 

0.76 

0.21 

1.41 

0.22 

2.35 

0.10 

0.80 

0.27 

2.18 

0.39 

2.05 

0.37 

2.16 

0.96 

1.84 

0.48 

4.51 

0.95 

3.04 

0.84 

3.76 

0.73 

3.11 

0.62 

1.98 

0.45 

2.12 

0.31 

1.96 

0.51 

1.92 

0.62 

2.33 

0.44 

3.32 

0.59 

4.62 

0.92 

4.94 

1.22 

3.59 

0.76 

3.67 

0.37 

2.98 

0.69 

1.59 

0.38 

4.48 

0.96 

2.30 

0.80 

GM         1.96 

0.45 

CL           1.74-2.21 

0.40-0.52 

0.18 


0.36 

— 

— 

0.73 

— 

— 

0.95 

— 

0.13 

0.56 

— 

— 

0.61 

— 

— 

0.83 

— 

— 

0.50 

— 

— 

0.39 

— 

— 

0.39 

— 

— 

0.59 

0.26 

— 

0.43 

— 

— 

0.61 

— 

— 

0.47 

— 

— 

0.44 

— 

— 

0.42 

— 

— 

0.60 

— 

— 

0.55 

— 

— 

0.29 

— 

— 

0.60 

— 

— 

0.22 

— 

— 

0.32 

— 

— 

0.19 

— 

— 

0.27 

— 

— 

1.28 

0.11 

— 

0.27 

— 

— 

0.44 

— 

— 

0.56 

— 

— 

0.86 

— 

0.10 

0.39 

— 

— 

1.10 

0.13 

0.17 

1.14 

0.12 

— 

0.80 

— 

— 

0.53 

— 

— 

0.54 

— 

— 

0.33 

— 

— 

0.54 

— 

— 

0.67 

0.11 

— 

0.61 

— 

— 

0.88 

0.12 

— 

1.43 

0.23 

— 

1.22 

0.14 

3.01 

0.84 

— 

0.33 

0.85 

0.11 

— 

0.71 

0.10 

0.21 

0.40 

— 

— 

0.85 

0.10 

0.25 

0.96 

D.I3 

— 

0.53 

0.47-0.60 

0.11 

0.12 

— 

_ 

— 

5.37 

— 

0.13 

_ 

— 

— 

8.84 

0.31 

0.24 

0.24 

— 

— 

16.76 

0.12 

0.16 

0.14 

— 

— 

12.90 

0.16 

0.16 

0.14 

_ 

— 

8.27 

0.23 

0.41 

0.21 

— 

— 

17.00 

0.21 

0.26 

0.18 

— 

— 

7.91 

0.12 

0.27 

0.11 

— 

— 

9.58 

0.15 

0.19 

0.13 

— 

— 

7.50 

0.12 

0.83 

0.22 

— 

— 

12.71 

0.16 

0.19 

0.11 

— 

0.17 

4.74 

0.20 

0.28 

0.19 

— 

— 

3.07 

0.19 

0.25 

0.13 

— 

— 

7.18 

0,21 

0.24 

0.14 

— 

— 

5.51 

0.17 

0.17 

0.10 

— 

— 

8.02 

0.24 

0.29 

0.22 

— 

0.24 

6.47 

0.16 

0.15 

0.16 

— 

0.76 

5.70 

0.18 

0.23 

0.14 

— 

— 

5.96 

0.31 

0.24 

0.20 

— 

— 

1.32 

0.11 

0.10 

0.10 

— 

_ 

0.62 

_ 

— 

— 

— 

0.95 

0.10 

— 

— 

— 

— 

2.18 

0.14 

0.16 

0.10 

— 

— 

3.17 

0.45 

0.25 

0.23 

— 

0.24 

2.20 

0.14 

0.13 

0.13 

— 

0.39 

5.35 

0.18 

0.15 

0.14 

— 

0.41 

6.04 

0.16 

0.12 

0.13 

— 

0.41 

2.68 



0.18 

0.19 

— 

0.49 

4.91 

0.29 

0.14 

0.24 

— 

0.31 

6.54 

0.41 

0.32 

0.33 

— 

0.74 

9.90 

0.41 

0.30 

0.25 

— 

0.48 

14.18 

0.33 

0.27 

0.29 

— 

0.57 

15.48 

0.29 

0.31 

0.20 

— 

— 

5.27 

0.17 

0.14 

0.10 

— 

0.26 

3.30 

0.12 

0.12 

0.10 

— 

0.14 

8.11 

0.24 

0.12 

0.13 

— 

0.22 

5.88 

0.29 

0.24 

0.15 

— 

— 

5.80 

0.15 

0.18 

0.14 

— 

0.21 

7.70 

0.20 

0.21 

0.19 

— 

— 

9.50 

0.44 

0.42 

0.32 

— 

— 

19.40 

0.45 

0.40 

0.35 

0.02 

0.73 

21.40 

0.26 

0.33 

0.23 

0.02 

0.41 

12.40 

0.22 

0.22 

0.18 

0.02 

— 

12.60 

0.30 

0.25 

0.20 

0.01 

0.16 

11.50 

0.22 

0.14 

0.13 

0.01 

0.18 

8.80 

0.36 

0.34 

0.25 

0.02 

0.49 

14.30 

0.50 

0.21 

0.37 

0.04 

0.41 

24.80 

0.17  0.18  0.13 

0.14-0.19    0.16-0.21    0.11-0.15 


0.11  6.59 

0.09-0.14      5.48-  7.94 


Range     0.65-4.94    ND-1.22     ND-0.20  0.19-1.43     ND-0.26    ND-3.01      ND-0.53    ND-0.50     ND-0.83    ND-0.37     ND-0.04    ND-0.76      0.62-24.80 


MARSH  ISLAND  AND  DEVEAUX  BANK 


GM         2.13  0.44  0.54  0.17  0.17  0.13  0.12  7.36 

CL  195-2  34  0  39-0  49  0  49-0  59  0.15-0.19  0.15-0.19    0.11-0.14  0.10-0.14      6.50-8.32 

Range     0.65-7.01    ND-1.80      ND-0.73  0.17-2.89     ND-0.32    ND-3.01      ND-0.53    ND-0.61      ND-0.83    ND-0.63     ND-0.10    ND-1.88      •.62-27.48 


ND  or  —  =  no  residue  detected. 

GM  =  geometric  mean. 

CL  =  95  percent  confidence  limits. 


12,  No.  4,  March  1979 


177 


TABLE  7.     Organochtorinc  rcsiiliics  in  brown  pelican  c.ij.e.v,  South  Ciirolina,  1975 


Residues,  tto/a  fresh  wet  weight 

DDE 

TDE 

DDT 

tranS' 

HEPTACHLOR                                         OXY-                     CIS-               NONA- 

DiELDRiN       Epoxide          MiRtx      chlordane  Chlordane    chlor 

cis- 

NONA- 
CHLOR 

TOXAPHENE 

PCBs 

MARSH  ISLAND 

1.41 

0.38 

1.04 

0.30 

1.91 

0.75 

1.68 

0.37 

I.IS 

0.27 

1.84 

0.33 

1.00 

0.35 

1.61 

0.53 

3.10 

0.69 

1.53 

0.26 

1.20 

0.33 

1.10 

0.18 

1.22 

0.31 

2.59 

0.49 

1.64 

0.41 

1.20 

0.34 

0.81 

0.19 

1.44 

0.59 

1.09 

0.34 

1.42 

0.50 

1.03 

0.34 

1.10 

0.34 

0.75 

0.30 

0.65 

0.21 

0.96 

0.31 

0.88 

0.21 

1.61 

0.57 

1.73 

0.64 

1.13 

0.34 

1.50 

0.37 

1.91 

0.58 

1.34 

0.38 

1.57 

0.54 

1.64 

0.47 

1.12 

0.41 

0.70 

0.34 

1.57 

0.41 

0.36 

0.10 

0.87 

0.29 

1.76 

0.62 

1.15 

0.45 

0.70 

0.20 

0.95 

— 

1.71 

0.39 

1.85 

0.60 

2.76 

0.74 

1.65 

0.57 

0.89 

0.37 

1.72 

0.67 

0.95 

0.21 

1.80 

0.38 

1.08 

0.42 

2.51 

0.58 

2.36 

0.65 

1.58 

0.43 

1.60 



0.18 



2.00 

0.81 

1.59 

0.58 

0.13 


0.50 
0.22 
0.58 
0.44 
0.34 
0.36 
0.32 
0.50 
0.72 
0.36 
0.35 
0.23 
0.31 
0.66 
0.48 
0.27 
0.22 
0.38 
0.27 
0..14 
0.27 
0.24 
0.16 
0.17 
0.26 
0.22 
0.38 
0.45 
0.34 
0.37 
0.53 
0.30 
0.51 
0.55 
0.32 
0.22 
0.51 
0.10 
0.23 
0.41 
0.34 
0.19 
0.23 
0.43 
0.53 
0  76 
0.42 
0.28 
0.92 
0.26 
0.40 
0.28 
0.71 
0.67 
0.49 
0.50 

0.50 
0.40 


0.10 


0.10 


0.10 
0.14 


0.11 


0.10 


0.27 


0.38 
0.10 


0.13 


0.13 

— 

0.15 

0,38 

5.02 

0.11 

0.13 

— 

0.28 

3.01 

0.29 

0.27 

0,24 

0.27 

4.35 

0.15 

0.14 

0.10 

0.32 

3.95 

0.15 

0.13 

0.11 

0.24 

4.64 

0.33 

0.23 

0.29 

0,57 

7.40 

0.17 

0.19 

0. 1  3 

0,24 

3.28 

0.15 

— 

0,09 

0.43 

3,36 

0.26 

0.24 

0,19 

0,31 

10.03 

— 

O.IO 

— 

0.48 

3.10 

0.17 

0.18 

0,11 

0.48 

4.50 

— 

0.13 

— 

— 

5.31 

0.12 

0.16 

— 

0.14 

6.45 

0.18 

0.26 

0.19 

0,49 

11.05 

0.20 

0.26 

0,18 

0,55 

6.20 

0.12 

0.16 

— 

0.14 

5.20 

0.10 

0.10 

— 

0.11 

8.80 

0.25 

0.25 

0,13 

0.18 

6.98 

0.14 

0.18 

0,10 

0.16 

5.02 

O.IS 

0.25 

0.13 

0.15 

6.31 

0.19 

0.15 

0.11 

0.21 

5.95 

— 

0.15 

. — 

0.22 

4,87 

0.11 

— 

— 

0.16 

7.06 

O.IO 

0.11 

— 

0.41 

6.92 

0.16 

0.18 

0,12 

0.16 

8.73 

— 

— 

— 

0.16 

7.33 

0.25 

0.14 

0.14 

0.26 

8.38 

0.31 

0.24 

0.15 

0.22 

10.89 

0.16 

0.14 

0.11 

0,21 

7.96 

0.17 

0.18 

0.14 

0,21 

14.40 

0.31 

0.22 

0,20 

0,34 

12.78 

0.17 

0.19 

0.12 

0.20 

9,84 

0.24 

0.16 

0,14 

0.42 

12.96 

0.27 

0.17 

0  23 

0.27 

13.45 

0.21 

0.19 

0,13 

0.20 

10.72 

0.18 

0.16 

0,11 

0.15 

9.85 

0.22 

0.16 

0,16 

0.28 

12.91 

— 

— 

— 

— 

5.23 

0.13 

0.14 

— 

— 

5.81 

0.25 

0.21 

0.18 

0.27 

14.89 

0.23 

0.13 

0.14 

0,12 

6.46 

— 

— 

— 

— 

4.70 

0.14 

0.10 

0,14 

0.11 

11.53 

0.19 

0.15 

0,19 

0.21 

12.32 

0.25 

0.14 

0,20 

0.37 

14.53 

0.31 

0.29 

0.31 

0.27 

13.91 

0.26 

0.18 

0.18 

0.21 

9.67 

0.15 

— 

0,11 

0.23 

7.57 

0.67 

0.35 

0,40 

0.40 

12.93 

0.16 

0.98 

0,16 

0.14 

12.31 

0.17 

0.16 

0,18 

0.29 

17.99 

0.17 

0.15 

0,11 

0,14 

6.57 

0.39 

0.23 

0.33 

0.33 

20.08 

0.28 

0.19 

0.19 

0.31 

10.81 

0.21 

0.12 

0,13 

0.27 

7.43 

— 

— 

— 

— 

1.40 

— 

— 

— 

, — 

0.38 

0.31 

0.33 

0.19 

0.50 

7.47 

0.28 

0.28 

0.17 

0.29 

10.95 

GM  1.30  0.36 

CL  1.15-1,46      0.30-0.42 

Range        0.18-3.10      ND-0.81 


ND-0.13 


0,35 

0.31-0.40 
ND-0.92 


ND-0.11       ND-0.38       ND-0.13 


0,16  0.15 

0,14-0,19      0,13-0.18 
ND-0.67       ND-0.98 


0  12  0.21 

0,10-0,14      0,18-0.25 
ND-0.40       ND-0.57 


DEVEAUX  BANK 


1.24 

0.36 

3  03 

0.68 

1.70 

0.37 

2.51 

0.91 

1.34 

0.37 

1.35 

0.32 

2.03 

0.54 

0.91 

0.33 

1.34 

0.41 

0.39 

— 

0.39 
0.63 
0.40 
0.55 
0.41 
0.34 
0.59 
0.21 
0.29 


0.19 


0.19 

O.IO 

0.12 

0.22 

1.77 

0.15 

0.11 

0,15 

0.54 

1.84 

0.15 

0,17 

0,12 

0.22 

3.49 

0.25 

0,17 

0, 1  3 

0.50 

7.32 

0.16 

0,15 

0.12 

0.13 

2.60 

0,13 

0,14 

0,12 

0.24 

2.69 

0.19 

0.19 

0.16 

0.40 

3.96 

0.14 

— 

_ 

0.11 

2.51 

0.17 

— 

0.10 

0.21 

2.43 

— 

0.09 

— 

— 

1.70 

(Continued  next  pa^e) 
178 


Pesticides  Monitoring  Journal 


TABLE  7   (cont'd.).     Oraaiwchlorinc  residues  in  brown  pelican  eggs.  Soiilh  Curoliiia,  1975 


Residues, 

/IC/G  FRESH 

1  WET  WEIGHT 

trans- 

cis- 

Heptachlor 

OXY- 

cis- 

NONA- 

NONA- 

DDE 

TDE 

DDT 

DiELDRIN 

Epoxide 

MiREX         ( 

:hlordane  Chlordane 

CHLOR 

CHLOR       TOXAPHENE 

PCB 

0.65 

0.11 

— 

0.11 

— 

— 

0.13 

0.13 

0.11 

0.07 

0.09 

6.82 

— 

0.29 

— 

0.34 

— 

— 

— 

0.17 

0.24 

0.16 

0.22 

3.92 

0.10 

0.80 

— 

0.64 

— 

— 

— 

0.29 

0.29 

0.18 

0.31 

4.20 

1.02 

0.26 

— 

0.28 

— 

— 

— 

0.14 

0.19 



0.11 

3.07 

1.62 

0.45 

— 

0.40 

— 

— 

— 

0.16 

0.20 

0.14 

0.38 

3.60 

0.88 

0.31 

— 

0.21 

— 

— 

— 

0.17 

— 

_ 

0.18 

1.54 

3.69 

0.10 

— 

0.97 

— 

— 

— 

0.59 

— 

0.35 

0.35 

5.93 

1.00 

0.34 

— 

0.27 

— 

0.10 

— 

0.12 

— 

— 

0.22 

1.98 

1.52 

0.41 

— 

0.97 

— 

0.14 

— 

0.15 

0.27 

0.11 

0.36 

3.63 

0.50 

— 

— 

0.11 

— 

— 

— 

— 

— 

— 

0.21 

4.37 

1.78 

0.60 

— 

0,44 

— 

— 

— 

0.24 

0.33 

0.18 

0.58 

13.56 

1.48 

0.35 

— 

0.29 

— 

— 

— 

0.16 

0.22 

0.14 

0.31 

9.66 

0.97 

0.35 

_ 

0.3.1 

— 

— 

— 

0.17 

0.19 

0.10 

0.20 

5.55 

1.99 

0.52 

— 

0.39 

— 

— 

— 

0.18 

0.24 

0  14 

0.37 

7.88 

1.19 

0.30 

— 

0.35 

— 

— 

— 

0.13 

0.18 

0.11 

0.40 

10.81 

1.02 

0.42 

— 

0.35 

0.10 

— 

— 

0.17 

0.22 

0.11 

0.14 

8.40 

1.23 

0.31 

— 

0.33 

— 

— 

— 

0.15 

0.22 

0.14 

0.10 

6.86 

1.59 

0.54 

— 

0.45 

— 

— 

— 

0.20 

0.27 

0.14 

0.25 

5.19 

1.40 

0.38 

— 

0.34 

— 

— 

— 

0.19 

0.26 

0.14 

0.15 

9.88 

1.99 

0.51 

— 

0.51 

0.12 

— 

— 

0.19 

0.27 

0  16 

0.12 

9.86 

2.48 

0.72 

— 

0.46 

0.10 

— 

— 

0.23 

0.34 

0.18 

0.27 

10.25 

1.00 

0.20 

— 

0.21 

— 

— 

— 

0.10 

0.12 

0.09 

— 

7.92 

1.73 

0.22 

. 

0.43 

— 

— 

— 

0.14 

0.19 

0.12 

— 

10.43 

1.28 

0.20 



0.35 

— 

— 

0.10 

0.2-1 

0.16 

0.09 

— 

7.22 

0.76 

0.23 



0.20 

— 

— 

— 

0.10 

0.13 

— 

0.23 

7.93 

2.09 

0.38 



0.53 

0.10 

— 

0.13 

0.26 

0.28 

0.13 

0.26 

10.03 

3.04 

0.58 



0.40 

0.14 

— 

— 

0.96 

— 

0.20 

1.27 

11.46 

1.90 

0.41 



0.63 

— 

— 

— 

0.46 

0.16 

0.12 

0.09 

3.90 

2.91 

0.78 

— 

0.70 

0.20 

— 

— 

0.24 

— 

0.20 

1.02 

6.06 

3.62 

1.38 

— 

1.04 

0.50 

— 

0.10 

0.61 

0.68 

0.22 

0.38 

6.11 

1.86 

0.44 

— 

0.46 

0.14 

— 

— 

0.13 

0.28 

0.14 

0.51 

4.88 

3.13 

0.96 

— 

0.96 

0.31 

— 

— 

0.36 

0.53 

0.31 

0.67 

10.10 

2.22 

0.38 

— 

0.68 

0.21 

— 

— 

0.28 

0.40 

0.17 

0.57 

6.37 

CM 

1.29 

0.38 

0.38 

0.18 

0.16 

0.12 

0.23 

5.07 

CL 

0.99- 

1.67 

0.31-0.47 

0.31- 

0.46 

0.16-0.22 

0.13-0.20 

0.10-0.14 

0.18-0.30 

4.20-  6.1 

Range 

ND- 

3.69 

ND- 

1.38 

ND 

ND- 

1.04 

ND-0.50 

ND-0.19 

ND-0.13 

ND-0.96 

ND-0.68 

ND-0.35 

ND-1.27 

1.54-13.5 

MARSH  ISLAND  AND  DEVEAUX 

BANK 

GM 

1.29 

0.36 

0.36 

0.17 

0.15 

0.12 

0.22 

6.24 

CL 

1.14-1.47 

0.32-0.41 

0.32- 

0.40 

0.15-0.19 

0.14-0.17 

0.11-0.13 

0.19-0.25 

5.50-  7.01 

Range 

ND- 

•3.69 

ND- 

1.38 

ND-0.13 

ND- 

■1.04 

ND-0.50 

ND-0.38 

ND-0.13 

ND-0.96 

ND-0.98 

ND-0.40 

ND-1.27 

0.38-20.0! 

ND  or  —  =  no  residues  detected. 

GM  =  geometric  mean. 

CL  =  95  percent  confidence  limits. 


Vol.  12,  No.  4,  March  1979 


179 


Colony 


DDE 


TABLE  8.     Organochloriiic  rcsidms  in  brown  pelican  eggs,  Florida,  1974 
Residues,  (ic/o  fresh  wet  weight 


TDE 


PCBs 


Heptachlor 
Epoxide 


CIS-  trans-  cis- 

MiREX        Chlordane     Nonachlor     Nonachlor   Toxaphene 


DiELDRIN 


GULF  COAST 


Cedar  Key 

— 

0.11 

0.91 

0.16 

— 

0.36 

0.23 

— 

0.86 

0.52 

— 

1.50 

0.47 

— 

1.20 

0.29 

— 

11.56 

0.99 

0.31 

0.75 

0.20 

— 

0.47 

0.«4 

0.18 

1.40 

0.42 

— 

0.65 

0.24 

— 

0.69 

— 

— 

0.69 

— 

0.14 

0.79 

— 

_ 

0.44 

0.24 

— 

1.10 

0.10 
0.14 


0.10 


0.14 


0.21 

0.16 
0.58 
0.44 
0.19 


GM 

CL 

Range 


0.29 

0.16-0.43 

ND-0.64 


ND-0.31 


0.80 

0.62-   1. 00 
0.36-  1.60 


ND 


ND 


ND-0.14 


ND-0.12 


ND 


ND-0.58 


Cortez 


0.51 

0.10 

2.10 

0.33 

— 

1.00 

0.57 

0.18 

2.00 

1.00 

0.12 

1.80 

0.64 

0.14 

1.10 

0.39 

0.13 

1.1(1 

0.37 

0.10 

1.00 

0.12 

0.10 

10.30 

0.31 

— 

1.50 

1.47 

0.20 

2.20 

0.35 

0.11 

0.99 

— 

0.11 

3.90 

0.66 

0.22 

0.75 

— 

0.15 

1.40 

0.52 

0.14 

1.20 

020 

— 

0.13 

0.27 

— 

0.15 



1.00 



oin 

0.13 

— 

0.15 

0.19 

— 

0.33 

0.23 

0.18 

0.14 

0.17 

0.10 

0.15 

0.11 

— 

0.17 

— 

— 

0.19 

0.17 

0.12 

0.29 

0.20 

(1.10 

0.23 

0.19 

0.11 

0.18 
0.14 
0.19 
0.12 
0.15 
0.15 
0.11 

0.38 
0.23 
0.18 
0.10 
0.19 
0.17 
0.20 


GM 

CL 

Range 


Bird  Key 


0.45 

0.28-0.65 

ND-1.47 


0.12 

0.08-0.15 

ND-0.22 


1.74 

I. II-  2.57 

0.75-10.30 


ND 


ND 


0.15 

— 

0.60 

0.29 

— 

0.41 

0.26 

O.IO 

0.15 

0.55 

0.16 

1.70 

0.57 

0.11 

1.60 

— 

0.19 

0.25 

0.59 

0.13 

1.20 

0.30 

— 

1.00 

0.22 

— 

0.33 

0.33 

0.13 

3.20 

0.20 

— 

1.20 

— 

— 

1.20 

0.31 

0.14 

2.80 

0.22 

— 

1.50 

0.12 

— 

0.51 

0.19 


0.14  0.14  0.06 

0.08-0.20         0.04-0.26         0.02-0.10 
ND-0.33  ND-1.00  ND-0.18 


ND 


0.60 


— 

0.15 

0.16 

0.10 

— 

0.17 

0.22 

0.13 

— 

0.19 

— 

— 

— 

0.10 

— 

— 

— 

0.10 

— 

— 

— 

0.10 

— 

— 

0.31 

0.17 





0.10 

0.09 

— 

— 

0.16 

0.12-0.20 

ND-0.38 


0.11 

0.12 

0.18 

0.25 

0.17 

0.13 

O.U 

0.15 

0.10 

0.19 


GM 
CL 

Range 


0.27 

0.18-0.37 

ND-0.59 


0.06 

0.02-0.10 

ND-0.19 


1.02 

0.63-  1.51 
0.15-  2.80 


ND 


ND-0.31 


0.07 

0.03-0.11 
ND-0.19 


ND-0.22 


ND-0.13 


ND-0.60 


0.10 

0.07-0.14 

ND-0.25 


Hemp  Island 

1.05 

0.41 

4.10 

0.16 

— 

0.94 

0.70 

0.30 

1.50 

0.28 

— 

0.61 

— 

— 

0.25 

0.52 

— 

1.10 

0.58 

— 

0.60 

0.16 

_ 

0.80 

0.73 

— 

3..30 

0.60 

0.13 

1.40 

0.63 

0.11 

1.80 

0.29 

— 

1.70 

0.23 

— 

0.50 

0.31 

0.13 

1.30 

0.40 

— 

1.30 

0.13 


0.10 


0.83 
0.45 


0.48 
0.33 


0.15 

0.18 

0.13 

0.15 

0.13 

0.14 

0.44 
0.18 


0.23 


0.10 


0.65 


0.30 
0.10 


0.22 

0.26 
0.19 
0.15 
0.12 

O.U 
0.10 


GM 

CL 

Range 


0.42 

0.29-0.58 
ND-1.05 


ND-0.41 


1.24 

0.82-  1.77 
0.50-4.10 


ND-0.13 


ND-O.IO 


ND-0.83 


ND-0.48 


ND-0.44 


ND-0.23 


0.12 

0.08-0.18 

ND-0.65 


(Continued  next  page) 
180 


Pi  STRIDES  Monitoring  Journal 


TABLE  8   (Cont'd.).     OrganocMorine  residues  in  brown  pelican  egs-s,  Florida,  1974 


Residues,  ^c/g  fresh  wet  weight 

Colony 

DDE 

TDE 

PCBs 

Heptachlor                                  cis- 
Epoxide             MmEX        Chlordane 

trans- 

NONACHLOR 

NONACHLOR    TOXAPHENE 

DiELDRIN 

FLORIDA  BAY 

Marquesas  Key 


0.13 
0.64 
0.23 
0.11 
0.42 
0.44 
1.05 
0.25 
0.42 


0.14 


0.41 


1.29 
1.60 
0.83 
1.06 


0.12 


Fort  Pierce 

1.61 

0.31 

10.90 

0.91 

0.12 

4.66 

1.47 

0.34 

8.89 

1.16 

0.31 

6.63 

0.60 

0.19 

3.98 

1.15 

0.22 

7.79 

2.15 

0.65 

12.92 

1.19 

0.38 

10.47 

0.12 


0.10 
0.14 

0.21 
0.21 
0.22 


0.18 


0.11 
0.14 


0.11 

0.13 
0.11 

0.12 
0.20 
0.16 


0.20 


0.14 


0.10 
0.14 


GM 

CL 

Range 

0.39 

0.19-0.61 

0.11-1.05 

ND-0.14 

0.47 

0.08-  1. 00 
NO-  1.60 

NO 

ND                  ND 

ND 

ND 

ND-0.14 

ND-0.14 

Fanny  Key 

0.37 
0.19 

0.10 

2.41 
0.85 

— 

—                    — 

— 

— 

— 

0.12 

ATLANTIC  COAST 

0.26 
0.19 
0.42 
0.40 
0.24 
0.28 
0.41 
0.40 


GM         1.24  0.31  7.79 

CL         0.89-1.66         0.19-0.44         5.49-10.91 
Range         0.60-2.15         0.12-0.65         3.98-12.92 


ND-0.12 


0.13 

0.05-0.21 

ND-0.22 


ND-0.18 


0.10 

0.04-0.16 

ND-0.20 


ND-0.20 


0.31 

0.24-0.40 

0.19-0.42 


Cocoa  Beach 

0.67 

0.14 

2.98 

1.81 

0.45 

7.80 

1.39 

0.29 

6.10 

1.13 

0.32 

4.77 

0.72 

0.13 

2.40 

0.44 

0.19 

5.16 

0.74 

0.18 

5.43 

0.85 

0.23 

3.00 

1.73 

0.40 

5.58 

1.72 

0.40 

8.35 

1.20 

0.27 

4.76 

1.20 

0.28 

7.77 

3.40 

0.78 

9.22 

0.94 

0.29 

3.38 

0.49 

0.17 

2,83 

— 

— 

— 

— 

0.20 

0.16 

0.12 

0.14 

0.25 

0.35 

0.16 

— 

0.18 

0.18 

0.44 

0.15 

0.17 

0.13 

0.14 

0.34 

— 

— 

— 

— 

0.14 

— 

— 

— 

0.21 

0.27 

0.16 

0.13 

0.15 

— 

0.25 

0.13 

— 

O.ll 

0.10 

0.41 

0.30 

0.15 

0.23 

0.21 

0.70 

— 

0.13 

— 

— 

0.38 

0.15 

0.15 

0.16 

0.22 

0.41 

0.16 

0.10 

0.13 

0.21 

0.33 

0.24 

0.18 

0.20 

0.46 

0.78 

— 

— 

— 

0.44 

0.23 

0.12 

— 

0.10 

— 

0.18 

GM 

CL 

Range 


1.13 

0.82-1.51 

0.44-1.81 


0.29 

0.21-0.38 

0.13-0.78 


4.94 

3.89-  6.24 
2.40-  9.22 


ND  ND 


0.11 

0.06-0.16 

ND-0.30 


0.07 

0.03-0.11 

ND-0.18 


0.10 

0.05-0.15 

ND-0.23 


0.15 

0.07-0.24 

ND-0.46 


0.32 

0.25-0.42 

0.14-0.78 


ican  Island       0.99 

0.25 

2.48 

1.33 

0.25 

5.77 

1.25 

0.28 

4.18 

1.01 

0.16 

3.07 

0.72 

0.21 

4.67 

1.11 

0.35 

6.36 

1.40 

0.46 

7.25 

1.77 

0.62 

9.73 

1.03 

0.49 

9.06 

1.40 

0.60 

9.52 

1.40 

0.35 

9.24 

0.49 

— 

2.71 

1.72 

0.50 

9.26 

0.66 

0.13 

1.98 

— 

— 

— 

0.22 

0.15 

0.19 

0.12 

0.20 

— 

0.33 

0.15 

— 

0.13 

0.14 

0.23 

— 

— 

— 

— 

0.26 

0.13 

0.11 

— 

— 

0.23 

0.13 

0.16 

— 

— 

0.31 

0.16 

0.16 

0.13 

0.27 

0.46 

0.18 

0.20 

0.15 

0.30 

0.60 

0.14 

0.13 

0.13 

0.12 

0.42 

0.35 

0.30 

0.25 

— 

0.65 

0.19 

0.17 

0.12 

— 

0.45 

— 

— 

— 

— 

0.13 

0.15 

0.17 

0.14 

0.11 

0.48 

— 

0.12 

— 

— 

0.15 

GM 

CL 

Range 


1.13 

0.92-1.37 

0.49-1.77 


0.32 

0.22-0.43 

ND-0.62 


5.47 

3.96-  7.45 
1.98-  9.73 


ND-0.11  ND 


0.12 

0.07-0.18 

ND-0.35 


0.11 

0.06-0.17 

ND-0.30 


0.09 

0.04-0.14 

ND-0.25 


ND-0.30 


0.31 

0.23-0.42 

0.13-0.60 


Port  Orange 

1.67 

0.43 

10.01 

0.91 

0.14 

4.97 

1.80 

0.65 

7.80 

2.11 

0.59 

11.27 

2.64 

0.74 

11.78 

1.55 

0.38 

8.10 

0.10 


0.18 

0.17 

0.10 

0.26 

0.43 

0.10 

0.10 

— 

— 

0.46 

0.24 

0.21 

0.14 

0.23 

0.54 

0.18 

0.22 

0.13 

0.33 

0.47 

0.53 

0.34 

0.26 

0.29 

0.62 

0.17 

0.16 

0.11 

0.24 

0.38 

(Continued  next  page) 

Vol.  12,  No.  4,  March  1979 


181 


TABLE  8   (Cont'd.).     Orf^aiiochtorine  residues  in  hrowii  pelican  enKS,  Florida.  1974 
Residues,  iio/o  fresh  wet  weight 


Colony 


DDE 


TDE 


PCBs 


Heptachlor 
Epoxide 


Mirex 


CIS- 

Chloroane 


trans- 

NONACHLOR 


NONACHl.OR    Toxaphene       Dibldrin 


1.02 

0.12 

5.45 

1.16 

0.34 

6.05 

1.04 

0.38 

4.90 

0.4S 

0.10 

4.17 

1.51 

0.45 

8.42 

1.00 

0.37 

8.30 

1.94 

0.46 

7.43 

1.34 

0.22 

9.70 

0.24 

0.47 
0.31 


0.15 


0.33 
0.12 






0.28 

0.11 

0.12 

0.31 

— 

0.13 

0.30 

— 

— 

.0.18 

H.Il 

0.23 

0.42 

— 

0.41 

0.83 

0.33 

1.53 

0.46 

— 

0.18 

0.28 

GM 
CL 

Range 


1.32 

1.03-1.71 

0.45-2.64 


0.33 

0.23-0.47 

0.10-0.74 


7.39 
6.13-  8.91 

4.27-11.78 


ND-0.10 


ND 


0.14 

0.08-0.23 
ND-0.53 


0.12 

0.08-0.19 
ND-0.34 


0.09 

0.06-0.13 

ND-0.33 


0.19 

0.11-0.32 

ND-1.53 


0.40 

0.32-0.50 

0.18-0.83 


NOTE:   ND  or  —  =  no  residue  delected. 
GM  —  geometric  mean. 
CL  —  95  percent  confidence  limits. 


TABLE  9.     T, 

ends  for  ori;anoi 

htorine  residues  in 

hrown  pelican  eHQs, 
1969-75 

Deveaux  Bank 

ind  Marsh  Island,  S 

nurh  Carolina, 

Residues.  iig/g  ^RESH  wet  weight 

Sample 

Year               Size 

DDE 

TDE 

DDT 

2  DDT 

DiELDRIN 

PCBs 

1969                  15 

5.45 'A  = 

1.65  A 

0.45  A 

7.81  A 

1.16  A 

6.11  AB 

(4.44^6.70) 

(1.. ^0-2. 10) 

(0.15-0.83) 

(6.48-9.40) 

(1.03-1.52) 

(5.00-7.45) 

1970                    13 

3.58  B 

0.79  B 

0.55  A 

5.27  B 

0.82  B 

5.25  AB 

(2.23-5.72) 

(0.53-1.20) 

(0.42-0.69) 

(3.49-7.77) 

(0.52-1.32) 

(3.92-7.04) 

1971                    65 

2.48  C 

0.48  C 

0.17  B 

3.20  D 

0.46  C 

6.49  A 

(2.27-2.71) 

(0.43-0.53) 

(0.13-0.21) 

(2.94-3.48) 

(0.40-0.52) 

(5.44-7.73) 

1972                   72 

3.03  B 

0.36  C 

0.18  B 

3.69  C 

0.45  C 

7.51  A 

(2.7l>-3.40) 

(11.31-0.42) 

(0.15-0.21) 

(3.31-4.12) 

(0.39-0.52) 

(6.68-8.46) 

1973                  104 

2.09  D 

0.19  D 

0.17  B 

2.56  E 

0.45  C 

4.75  B 

(1.91-2.29) 

(0.17-0.22) 

(0.15-0.20) 

(2.35-2.78) 

(0.41-0.50) 

(4.26-5.31) 

1974                  115 

2.22  CD 

0.49  C 

0.02  C 

2.72  E 

0.58  C 

7.63  A 

(2.03-2.43) 

(0.44-0.54) 

(0.01-0.04) 

(2.49-2.96) 

(0.53-0.64) 

(6.80-8.55) 

1975                  1(12 

1.40  E 

0.41  C 

(1.004  C 

1.80  F 

0.40  C 

6,45  A 

(1.27-1.54) 

(0.37-0.46) 

(0.()ll2-().()07) 

(1.64-1.97) 

(0.36-0.43) 

(5.75-7.24) 

>  Geometric  mean;  95  percent  confidence  limits  are  in  parentlieses. 
=  See  Footnote  2,  Table  3. 


The  factors  iincierlying  the  large  population  increase 
were  not  evident.  The  excellent  reproductive  success 
in  1973  cannot  account  for  the  large  population  increase 
just  2  years  later.  It  is  possible  that  many  South  Caro- 
lina adults  did  not  breed  before  1975  because  of  insuf- 
ficient food.  Many  adult  brown  pelicans  in  Mexico  and 
California  apparently  do  not  breed  when  the  food 
supply  is  poor  (2).  The  breeding  population  in  .South 
Carolina  showed  only  a  slight  increase  in  1973  when 
pelicans  had  an  excellent  reproductive  season  and  men- 
haden were  apparently  readily  available.  Thus  it  is 
doubtful  that  large  numbers  of  adult  pelicans  in  South 
Carolina  failed  to  breed  from  1969  to  1974.  There  is 
no  evidence  from  banding  studies  that  large  numbers  of 
pelicans  migrated  from  natal  areas  in  Florida  to  South 
Carolina  to  breed.  Although  the  population  increase 
was  probably  caused  by  a  combination  of  factors,  the 
most  likely  factor  seems  to  be  the  decline  in  organo- 
chlorine  residues  that  resulted  in  improved  reproductive 
success  and  probable  increased  longevity  after  fledging. 

DDE  is  the  organochlorine  exerting  most  influence  on 
reproductive  success.  However,  little  is  known  about 
adult  mortality  from  organochlorines  except  that  several 


TABLE    10.     Organochlorine  residue  trends 
in  brown  pelican  eggs  from  four  regions,  1969-70,  1974 

Mean  residues, 
;ig/g  fresh  wet  weight 


Pollutant 


DDE 


TDE 


DDT 


>:  DDT 


Dieldrin 


PCBs 


Region' 


SC 
AC 
FB 
GC 
SC 
AC 
FB 
GC 
SC 
AC 
FB 
GC 
SC 
AC 
FB 
GC 
SC 
AC 
FB 
GC 
SC 
AC 
FB 
GC 


1969-70 

1974 

4.65  A  = 

2.22  B 

2.32  B 

1.21  C 

1.04  C 

0.37  D 

1.48  C 

0,36  D 

1.29  A 

0.49  C 

0.91  B 

0.32  D 

0.18  E 

0.03  E 

0.55  C 

0.07  E 

0.49  A 

0.02  C 

0.43  A 

0.01  C 

0.07  C 

NDC 

0.27  B 

NDC 

6.52  A 

2.72  C 

3.68  B 

1.52  D 

1.25  D 

0..39  E 

2.27  C 

0.42  E 

1.09  A 

0.58  B 

0.51  B 

0.36  C 

0.06  D 

0.04  D 

0.11  D 

0.13  D 

5.77  B 

7.63  A 

2.68  C 

6.12  AB 

0,75  D 

0.62  D 

0.70  D 

1.I8D 

'SC  =  South  Carolina,  AC   =   Florida  Atlantic  Coast,  FB   =  Florida 
Bay,  and  GC  =  Florida  Gulf  Coast. 
-See  Footnote  2,  Table  3. 


182 


Pesticides  Monitoring  Journal 


TABLE  11.     Ori^anochlorine  residues  in  tissues  of  brown  pelicans  found  dead,  South  Carolina,  1974-75 


Residues,  iiG/a  fresh  wet  weight 


Year 


Sex 


Tissue 


DDE 


TDE 


DDT 


Hepta- 

CHLOR 

Dieldrin    Epoxide 


CIS- 

Chlor- 
dane 


trans- 

NONA- 
CHLOR 


as- 

NONA- 
CHLOR 


TOXA- 
PHENE 


Ml  REX         PCBs 


1974 


1975 


F 

4wk 

Carcass 

0.14 

— 

— 

— 











0.25 

Brain 

— 

— 

— 

— 

— 

— 









0.25 

K 

6wk 

Carcass 

0.16 

— 

— 

— 







__ 





1.44 

Brain 

0.52 

— 

— 

0.14 

— 











2.46 

F 

12  wk 

Carcass 

0.46 

0.16 

— 

0.13 

— 

— 

— 







1.27 

Brain 

— 

— 

— 

— 

— 

— 

— 

— 





0.74 

M 

8  wk 

Carcass 

0.15 

— 

— 

— 

— 

— 

— 

— 





1.28 

Brain 

0.20 

— ■ 

— 

— 

— 

— 

— 







1.58 

M 

AD 

Carcass 

3.09 

1.25 

0.14 

1.67 

0.22 

0.44 

0.56 

0.47 

0.56 

1.40 

25.28 

Brain 

3.43 

0.55 

— 

0.99 

0.10 

0.26 

0.20 

0.22 

0.48 

0.64 

14.22 

M 

AD 

Carcass 

3.24 

1.56 

0.14 

1.87 

0.26 

0.62 

0.92 

0.71 

0.73 

1.80 

38.80 

Brain 

1.31 

0.54 

— 

0.91 

— 

— 

0.19 

0.23 

0.54 

0.87 

12.83 

M 

AD 

Brain 

1.46 

0.61 

— 

0.99 

0.10 

0.27 

0.31 

0.27 

0.47 

0.65 

2.92 

NOTE;  —  =  no  residues  detected. 
AD  =  adult. 


TABLE  12.     Organoclilorine  residues  in  Atlantic  menhaden  refiurgitated  by  brown  pelicans.  South  Carolina,  1974-75 

Residues,  /lO/o  fresh  wet  weight 


Year 


DDE 


TDE 


Heptachlor 
Epoxide 


cts~  CIS-  trans- 

Chlordanc  Nonachlor  Nonachlor  Toxaphene 


PCBs 


1974 


0.01 
0.04 
0.01 
0.06 


0.04 
0.01 


0.02 


0.01 


0.23 
0.19 
0.02 
0.36 
0.22 


GM 

CL 


0.016 
0.004-0.060 


0.147 
0.036-0.608 


1975 


0.03 

0.04 

0.01 

0.03 

0.02 

0.06 

0.03 

0.06 

0.01 

0.01 

0.02 

0.03 

0.01 

— 

0.02 

0.03 

0.01 

0.01 

0.03 


0.03 


0.02 
0.02 

0.01 
0.01 


0.01 


— 

0.06 

0.03 

— 

0.02 

0.03 

— 

0.02 

0.09 

— 

— 

0.08 

— 

— 

0.02 

0.01 

— 

0.10 

— 

— 

0.10 

0.01 

0.02 

0.15 

— 

0.01 

0.11 

GM 
CL 


0.014 
0.009-0.022 


0.020 
0.010-0.039 


0.050 
0.024-0.107 


NOTE:  —  =  no  residues  detected. 
GM  =  geometric  mean. 
CL  =  95  percent  confidence  limit. 


pelicans  have  died  of  endrin  and  dieldrin  poisoning.  An 
increase  in  adult  survival  would  have  a  marked  effect 
on  the  breeding  population  and  on  the  recruitment 
standard  necessary  to  maintain  a  stable  population. 
There  are  no  data  to  support  the  theory  of  increased 
adult  longevity,  but  it  may  be  investigated  in  the  future 
by  analyzing  banding  data. 

The  South  Carolina  brown  pelican  population  formerly 
numbered  about  6,000  breeding  pairs  (i,  10),  and  if  the 
present  rate  of  reproductive  success  continues,  the 
population  should  reach  6,000  breeding  pairs  within 
the  ne.xt  5  years.   The  pelican  population  in  Florida  has 


been  essentially  stable  since  aerial  surveys  of  nesting 
colonies  were  initiated  in  1968  (18.  21). 

Acknowledgments 
Authors  thank  A.  Stana  Federighi  and  Eugene  H.  Dust- 
man for  critically  editing  the  manuscript.  Appreciation  is 
expressed  to  Steve  Joyner,  Daniel  Doshier,  Fred  Milton, 
Stewart  Givens,  George  Garris,  Julie  Keahey,  Brad 
Winkler,  John  Sheerer,  Scott  Osborne,  George  She- 
gogue,  and  others  for  assistance  in  the  field.  We  are 
grateful  to  Gary  Hensler,  Jane  Dowdy,  Ann  Potoski, 
and  Robert  Schwenk  for  statistical  assistance,  and  to 
Louis  N.  Locke  for  necropsy  reports. 


Vol.  12,  No.  4,  March  1979 


183 


LITERATURE  CITED 

(/)  Amierson.  D.  W..  ami  J.  J.  HUkey.  1970.  Oological 
data  on  egg  and  breeding  characteristics  of  brown 
pelicans.    Wilson  Bull.   82(1):  14-28. 

(2)  Anderson,  D.  W..  J.  R.  Jehl.  Jr..  R.  W.  Ritehrough, 
L.  A.  Wooth,  Jr..  L.  R.  DeWcese.  and  W.  G.  Ed);e- 
comh.  1975.  Brown  pelicans:  improved  reproduc- 
tion off  the  Southern  California  Coast.  Science 
180(4216) :806-808. 

(.?)  Beckett.  T.  A.,  111.  1966.  Deveaux  Bank— 1964  and 
196.'!.    Chat  30(4):93-100. 

(4)  Blu.s.  L.  J..  A.  A.  Belhle.  and  R.  M.  Proiity.  1974. 
Relations  of  the  brown  pelican  to  certain  environ- 
mental pollutants.    Pestic.    Monit.  J.  7(3/4):  181-194. 

(5)  Bins.  L.  J.,  E.  Croniartie.  L.  McNease.  and  T.  Joanen. 
In  press.  Brown  pelican:  Population  status,  repro- 
ductive success,  and  organochlorine  residues  in  Louis- 
iana, 1971-1976.   Bull.  Environ.  Contam.  Toxicol. 

(6)  Blus.  L.  J..  C.  D.  Gish,  A.  A.  Belisle,  and  R.  M. 
Prouty.  1972.  Logarithmic  relationship  of  DDE  resi- 
dues to  eggshell  thinning.   Nature  235(5338)  :376-377. 

(7)  Blus.  L.  J..  R.  a.  Heath.  C.  D.  Gish.  A.  A.  Belisle.  and 
R.  M.  Prouty.  1971.  Eggsell  thinning  in  the  brown 
pelican:  implication  of  DDE.  BioScience  21(24): 
1213-1215. 

(8)  Blut.  L.  J.,  T.  Joanen.  A.  A.  Belisle,  and  R.  M.  Prouty. 
1975.  The  brown  pelican  and  certain  environmental 
pollutants  in  Louisiana.  Bull.  Environ.  Contam. 
Toxicol.  13(6):646-655. 

(9)  Bhds,  L.  J..  B.  S.  Neely.  Jr..  A.  A.  Beli.sle.  and  R.  M. 
Prouty.  1974.  Organochlorine  residues  in  brown  peli- 
can eggs:  relation  to  reproductive  success.  Environ. 
Pollut.  7(2):81-91. 

{10)  Blus.  L.  J..  B.  S.  Neely.  Jr..  T.  G.  LamonI,  and  B. 
Mulhern.  1977.  Residues  of  organochlorines  and 
heavy  metals  in  tissues  and  eggs  of  brown  pelicans, 
1969-73.   Pestic.  Monit.  J.  11(1)  :4a-53. 

(//)  Cromariie.  E..  W.  L.  Reiehel.  L.  N.  Locke.  A.  A. 
Belisle.  T.  E.  Kai.ser.  T.  G.  LamonI.  B.  M.  Mulhern, 
R.  M.  Prouty,  and  D.  M.  Swineford.    1975.    Residues 


of  organochlorine  pesticides  and  polychlorinated  bi- 
phenyls  and  autopsy  data  for  bald  eagles,  1971-72. 
Pestic.  Monit.  J.  9(1):  I  1-14. 

1.12)  Duncan.  I).  B.  1955.  Multiple  range  and  multiple  F 
tests.   Biometrics  1 1(  1 ):  1-42. 

(/.?)  Gochfeld.  M.  1974.  Prevalence  of  subcutaneous  em- 
physema in  young  terns,  skimmers  and  gulls.  Wildl. 
Dis.  10(1):  115-120. 

(/•/)  Henny,  C.  J.  1972.  An  analysis  of  the  population 
dynamics  of  selected  avian  species — with  special  refer- 
ence to  changes  during  the  modern  pesticide  era.  Fish 
and  Wildlife  Service,  U.S.  Department  of  the  Interior, 
Wildl.  Res.  Report  No.  1,  99  pp. 

(/.'))  Kramer.  C.  Y.  1956.  Extensions  of  multiple  range 
tests  to  group  means  with  unequal  numbers  of  replica- 
tions.  Biometrics  12(2)  :307-310. 

(/6)  Mulhern.  B.  M..  E.  Cromartie.  W.  L.  Reiehel.  and  A. 
A.  Belisle.  1971.  Semiquantitative  determination  of 
polychlorinated  biphenyls  in  tissue  samples  by  thin 
layer  chromatography.  J.  Assoc.  Off.  Anal.  Chem. 
54(3):548-550. 

{17)  Mulhern,  B.  M..  W.  L.  Reiehel,  L.  N.  Locke.  T.  G. 
LamonI,  A.  A.  Belisle,  E.  Cromartie,  G.  E.  Bagley, 
and  R.  M.  Prouty.  1970.  Organochlorine  residues 
and  autopsy  data  from  bald  eagles,  1966-68.  Pestic. 
Monit.  J.  4(3):141-I44. 

(IS)  Neshitt,  S.  A..  M.  J.  Fomrty.  and  L.  E.  Williams.  Jr. 
1977.  Nesting  status  of  brown  pelicans  in  Florida: 
1971-76.   Bird-Banding  48(2):138-144. 

{19)  Reintjes.  J.  W .  1969.  Synopsis  of  biological  data  on 
the  Atlantic  Menhaden  (Brevoortia  tyrannusj.  Fish 
and  Wildlife  Service,  U.S.  Department  of  the  Interior, 
FAO  Fish.  Synopsis  No.  42.  29  pp. 

{20)  White.  F.  H ..  C.  F.  Simpson,  and  L.  E.  Williams,  Jr. 
1973.  Isolation  of  Edwardsiella  tarda  from  aquatic 
animal  species  and  surface  waters  in  Florida.  J.  Wildl. 
Dis.  9(3): 204-208. 

{21)  Williams.  L.  E.,  Jr..  and  L.  Martin.  1970.  Nesting 
populations  of  brown  pelicans  in  Florida.  Pages  154- 
169,  Proc.  24th  Annual  Conf.  S.  E.  Assoc.  Game  Fish 
Comm. 


184 


Pesticides  Monitoring  Journal 


Pesticide  Contamination  of  Water  Rats  in  the  Murrumbidgee  Irrigation  Areas, 
New  South  Wales,  Australia,  1970-72 

Penny  Olsen  '  and  Harry  Settle  - 


ABSTRACT 

OrganocMorine  pesticides  were  found  in  all  samples  of 
livers,  kidneys,  mammary  glands,  and  fetuses  of  eastern 
water  rats  (Hydromys  chrysogaster)  collected  in  the  Mur- 
rumbidgee irrigation  areas  of  New  South  Wales  in  1970  and 
1972.  DDE  was  the  predominant  residue.  Livers  contained 
0.01-3.10  ppm  ZDDT  air-dried  weight;  kidneys,  <  0.01-1.12 
ppm;  mammary  glands,  0.14-23.75  ppm:  and  fetal  liver, 
0.28-0.66  ppm.  Variations  in  residue  levels  are  discussed  in 
relation  to  the  possible  effects  of  environmental  and  physio- 
logical factors. 

Introduction 

Large  amounts  of  water  are  used  in  the  Murrumbidgee 
irrigation  areas  of  New  South  Wales  for  flood  irrigation 
of  rice  crops.  Drainage  water  from  these  crops  and  from 
irrigated  orchards,  vineyards,  and  cereal  and  vegetable 
crops  enters  Mirrool  Creek.  A  weir.  Willow  Dam,  con- 
trols entry  of  the  creek's  water  into  a  storage  swamp  or 
diverts  it  for  further  irrigation  use. 

Several  pesticides  are  used  on  area  farms,  although 
DDT  predominates.  About  1-4.5  kg/ ha.  is  used  an- 
nually (2),  largely  to  control  the  bloodworm  (Chirono- 
miis  sp.)  which  damages  rice  seedlings.  Eastern  water 
rats  (Hydromys  chrysogaster) ,  common  in  the  irrigation 
area,  were  collected  monthly  from  Mirrool  Creek  and 
Willow  Dam  as  part  of  a  study  of  the  biology  of  the 
species. 

Little  is  known  of  pesticide  contamination  of  Australian 
fauna  (2).  The  present  study  is  a  preliminary  examina- 
tion of  the  degree  of  exposure  of  water  rats  to 
pesticides. 

Materials  and  Metlwds 

SAMPLE  COLLECTION 

Eastern  water  rats  were  live-trapped  from  Mirrool 
Creek  at  Willow  Dam  near  Griffith,  New  South  Wales, 


>  Division  of  Wildlife  Research.  Commonwealih  Scientific  and  Indus- 
trial Research  Organization,  P.O.  Box  84,  Lyneham,  Australian 
Capital  Territory,  Australia,  2602. 

-Australian  Government  Analytical  Laboratories,  South  Australia 
Regional  Laboratory,  344  Tapleys  Hill  Road,  Seaton,  South  Australia, 
Australia,  502.1. 


between  January  1970  and  January  1973,  Livers,  kid- 
neys, mammary  glands,  and  fetuses  were  removed  from 
the  freshly  killed  rats  and  preserved  in  10  percent 
formalin.  A  small  number  of  samples  taken  during 
1970  and  1972  were  analyzed  for  pesticides  as  follows: 
in  1970,  January  (7),  April  (3),  October  (3),  No- 
vember (4);  in  1972,  February  (2),  May  (2),  July  (7), 
August  (6).  Sampling  pattern  is  illustrated  in  Figure  1. 

ANALYSIS 

In  the  laboratory,  samples  were  drained  and  air  dried, 
cut  into  small  pieces,  mixed  with  sodium  sulfate,  and 
extracted  with  hexane  in  a  Soxhlet  thimble  for  4  hours. 
Extraction  for  a  longer  period  did  not  increase  residue 
recovery.  The  hexane  extracts  were  concentrated  to 
about  10  ml  and  partitioned  three  times  with  25  ml 
acetonitrile  as  a  preliminary  cleanup.  The  acetonitrile 
phase  was  passed  into  300  ml  2  percent  sodium  sulfate 
and  shaken  with  100  ml  hexane.  The  hexane  layer  was 
dried  by  passing  it  through  anhydrous  sodium  sulfate 
and  was  concentrated  to  5  ml.  The  concentrate  was 
mixed  with  20  g  2  percent  deactivated  Florisil,  poured 
into  a  chromatographic  column  containing  20  g  2  per- 
cent deactivated  Florisil,  and  eluted  in  three  frac- 
tions (5,  6)  as  follows: 

Fraction  A,  eluted  with  200  ml  20  percent  methylene 
chloride-hexane,  was  analyzed  for  lindane,  HCB,  aldrin, 
heptachlor,  heptachlor  epoxide,  DDE,  TDE,  DDT,  and 
polychlorinated  biphenyls   (PCBs). 

Fraction  B,  eluted  with  200  ml  20  percent  methylene 
chloride-hexane,  was  analyzed  for  dieldrin,  dursban,  and 
trithion. 

Fraction  C,  eluted  with  200  ml  acetone,  was  analyzed 
for  malathion,  ethion,  delnav,  and  diazinon. 

The  eluates  were  concentrated  to  1  ml.  Fractions  A  and 
B  were  examined  by  injection  into  a  Varian  Model 
2700  gas-liquid  chromatograph  fitted  with  a  tritium 
electron-capture  detector.  Fraction  C  was  injected  into 


Vol.  12,  No.  4,  March  1979 


185 


E 
a 

Q. 


CD 

D 

■g 
w 


1-6f 


1-4 


$    1-2 


10 


•8 


S     -6 


FIGURE   1. 


0 


Rice  crops 
drained 


^^^^ 


Rice  crops 
treated  for 
bloodworm 


1970 
1972 


M 


M 


O       N 


D 


Month 


Mean  organochlorinc  conteii!  of  eastern  water  rat  livers  by  month  sampled,  Miirriimbiclgee  irrij;ation  area. 
New  South  Wales,  Australia,  1970-72 
( :DDT  represented  at  least  94  percent  of  residues  in  each  month.  Number  of  samples 
analyzed  each  month  was  7,  2,  3,  2,  7,  6,  3,  4,  respectively.) 


a  Tracer  gas-liquid  chroniatograph  fitted  with  a  phos- 
phorus-mode flame  photometric  detector  (Table  1). 
Residues  detected  at  0.005  ppm  and  above  were  reported 
to  the  nearest  0.0 1  ppm. 

CONFIRMATION  OF  RESIDUES  ANO  RECOVERIES 

All  samples  having  organochlorine  residues  greater  than 
0.1  ppm  were  spotted  on  a  thin-layer  chromatographic 
plate  for  confirmation.  Blank  analyses  were  carried  out 

TABLE   1.     Parameters  jor  gas-liquid  chromatographic 
analyses  for  pesticides  in  eastern  water  rats,  1970-72 


V*B1AN  2700 

Tracor  550 

Detector 

tritium 

FPD 

(P  mode) 

Columns 

glass  Va-inct)  I.D..  6  foot 

effective 

lengiti 

Column  packing 

a  mixture  of  0.2Cc 

Vc^ 

OV-1  on 

DC-2110  :ind  O.X":*, 

Gas 

Chrom  Q 

QI--1  on 

Varaport  30 

Tcmperatuics,  °C 

column 

200 

220 

inlet 

221) 

230 

delcclor 

220 

170 

Carrier  pas  flow  (ml 

minute) 

nitrogen 

30 

60 

hydrogen 

50 

air 

100 

at  frequent  intervals  from  the  sodium  sulfate/Soxhlet 
step.  Replicate  recoveries  (Table  2)  were  carried  out  by 
adding  known  amounts  of  organochlorine  and  organo- 
phosphorus  pesticides  to  sodium  sulfate  in  the  Soxhiet 
thimble  and  treating  the  recovery  as  in  the  sample 
procedure. 

Because  a  one-step  cleanup  was  not  sufficient,  the  aceto- 
nitrile-hexane  partition  method  was  used  (6).  This  re- 
sults in  low  HCB  recoveries;  consequently  HCB  results 
were  corrected  for  recovery  as  follows: 

HCB  (reported)  =  HCB  found  in  determination 
X  (100/33) 

Results  and  Discussion 
Pesticide  residues  detected  in  the  water  rats  are  listed 
in  Table  3.  All  samples  contained  organochlorines  and 
an  unidentified  organophosphorus  compound.  There 
were  no  significant  dilTcrenccs  in  residue  levels  between 
males  and  females.  Mammary  glands,  because  of  their 
fatty  composition,  contained  the  highest  levels,  and 
residues  tended  to  increase  as  parturition  approached. 
Mammary  TDE  positively  correlated  with  fetal  weight 


186 


Pesticides  Monitoring  Journal 


TABLE  2.     Results  of  replicate  recoveries  of  organochlorines 
and  organophosphates  in  eastern  water  rats,  1970-72 


Amount 

ADDED, 

No.  OF 

IV 

EAN   %   RECOVERY 

Pesticide 

liO 

REPLICATES 

±  STD  DEV 

HCB 

0.25 

6 

33.0  ±    4.49 

DDE 

0.25 

4 

76.5  ±    6.70 

TDE 

0.25 

6 

89.0  ±    8.61 

DDT 

0.25      only 

2  recoveries 

measured 

(71%  and  92%) 

Dieldrin 

0.25 

7 

83.0  ±    6.36 

Malathion 

4 

98.8  ±    8.93 

Diazinon 

5 

75.4  ±  13.31 

Delnav 

4 

85.8  zt    4.91 

Dursban 

6 

86.7  ±    7.49 

Ethior 

5 

84.6  ±    4.03 

Trithion 

5 

86.2  ±    7.68 

(P  <  0.05).  Liver  TDE  was  correlated  with  mammary 
TDE  (P  <  0.001 ).  Fetal  residues  tended  to  reflect  ma- 
ternal liver  residues  and  were  positively  correlated  with 
fetal  weight  (P  <  0.01). 

No  significant  differences  in  residues  were  found  be- 
tween younger  and  older  animals  and  breeding  and  non- 
breeding  animals  (Table  4).  However,  younger  animals 
tended  to  carry  lower  levels  than  older  animals.  The 
nonbreeding  female  group  was  the  only  one  which 
showed  a  positive  correlation  between  age  and  residue 
level  (P  <  0.05).  Breeding  females  had  the  highest 
liver  pesticide  loads,  and  nonbreeding  females,  mature 
and  immature,  had  the  lowest.  Kidney  residues  were 
lower  in  breeders  than  in  nonbreeders. 

Stomachs  of  pregnant  females  contained  more  food 
items,  particularly  insects,  than  did  those  of  males  or 
nonbreeding  females  (8).  This  suggests  that  breeders 
may  have  a  greater  opportunity  for  contamination 
through  greater  food  consumption  and  may  consume 
more  dead  and  dying  nontarget  arthropods  weakened 


by  insecticides,  as  demonstrated  by  Stchn  in  small 
mammal  scavengers  (7).  Lower  liver  residues  in  non- 
breeding  females  and  increasing  residues  in  mammary 
glands  as  parturition  approached  suggested  a  lowering 
of  body  burdens  through  mobilization  of  fat  during 
pregnancy  and  lactation;  this  phenomenon  is  thought 
to  occur  in  harbor  porpoises  (i)  and  Arctic  ringed 
seals  (1). 

Seasonal  changes  in  residue  levels  may  be  related  to 
irrigation  and  pesticide  application  practices  in  the  area. 
Peak  residues  occurred  in  animals  in  April  after  water 
had  been  drained  from  the  rice  fields  in  March  (Fig.  1). 
Because  DDT  has  a  low  water  solubility  and  deposits 
out  of  suspension  to  be  adsorbed  on  organic  matter, 
plants,  and  sediments  (4),  increased  amounts  may  be 
available  to  water  rat  prey  in  the  dry  soil  of  drained 
rice  fields  and,  particularly,  through  flushing  of  water 
with  suspended  clay,  organic  matter,  and  plant  material 
into  the  creek. 

Up  to  8  ppm  DDT  has  been  found  in  sediments  of 
drainage  channels  adjacent  to  the  rice  bays,  indicating 
considerable  movement  of  the  pesticide  from  the  site 
of  application  (K.  H.  Bowmer.  Division  of  Irrigation 
Research,  1974,  personal  communication).  Fish  and 
aquatic  insects  may  also  be  flushed  from  the  bays  or  may 
be  stranded  in  drained  fields,  becoming  easy  prey.  A 
smaller  peak  in  residue  levels  in  November  coincides 
with  the  treatment  of  rice  for  bloodworm. 

Corresponding  with  the  April  peak  residue  levels,  there 
was  a  seasonal  decline  in  weight  of  the  rats  which  may 
indicate  a  breakdown  of  body  fats  and  consequent 
release  of  stored  pesticides.  Because  trophic  level  is 
thought  to  be  one  factor  in  biomagnification  of  residues, 


TABLE  3.     Pesticide  residues  in  liver,  kidney,  mammary  glands,  and  fetal  liver  samples  from  water  rats, 
Murrumbidgee  irrigation  areas,  New  South  Wales,  Australia,  1970-72 


Residues,  ppm 

air-dried  WT   (±  STD  DEV.) 

No. 

(Range) 

Tissue 

Samples 

DDE 

TDE 

DDT 

Dieldrin 

HCB 

2  DDT 

Females 

17 

0.40  -<-  0.14 

0.09  +  0.05 

0.01 

0.01  ±0.01 

0.03  ±  0.02 

0.49  ±0.19 

(2.10-0.01  > 

(0.85-ND) 

(0.()6-ND) 

(0.09-ND) 

(0.40-ND) 

(3.10-0.01) 

Kidneys 

12 

0.17-1-  0.03 

0.03+0.01 

ND 

ND 

0.01  ±0.01 

0.20  ±  0.03 

(0.46-ND) 

(0.15-ND) 

(0.11-ND) 

(0.57-0.06) 

Mammary  glands     6 

5.07  ±  2.22 

2.11  ±  1.68 

0.64  ±  0.37 

0.01  ±  0.01 

ND 

7.82  ±  3.86 

(12.20-0.13) 

(10.40-ND) 

(2.23-ND) 

(0.05-ND) 

(23.75-0.14) 

Fetal  liver 

2 

0.30 

0.13 

0.05 

0.04 

ND 

0.47 

(0.38-0.22) 

(0.23-0.02) 

(0.05-0.04) 

(0.05-0.02) 

(0,66-0.28) 

Males 

Livers 

17 

0.44-^0.10 

0.05  +  0.02 

ND 

0.01 

ND 

0.49  ±0.11 

(1.57-0.02) 

(0.22-ND) 

(0.04-ND) 

(0.04-ND) 

(0.08-ND) 

(1.61-0.02) 

Kidneys 

13 

0.31  ±0.06 

0.02  ±  0.01 

0.01 

0.01 

0.33  ±  0.07 

(0.89-ND) 

(0.20-ND) 

ND 

(0.04-ND) 

(0.08-ND) 

(1.12-ND) 

NOTE;   PCBs  not  detected  in  any  sample;  ND 
^One  liver  with  O.OI  ppm  malathion. 


<0.01  ppm. 


Vol.  12,  No.  4,  March  1979 


187 


TABLE  4.     Differences  in  organoclilorinc  residues  in  livers 

and  kidneys  of  eastern  water  rats,  MurrumlMdgce  irrigation 

areas,  New  South  Wales,  Australia,  1970-72 


Mean  total  residues, 
ppm  wet  wt 

Liver 

Kidney 

Females 
Est.  age  <  6  months 
Est.  age  ^  6  months 
Nonbrceding 
Pregnant  only 
Pregnant  and  lactating 
Males 
Est.  age  <  6  months 
Est.  age  ^  6  months 

0.39  (5) 
0.64  (12) 
0.40  (11) 
0.83  (4) 
0.67  (2) 

0.33  (5) 
0.56  (12) 

0.10  (2) 
0.26  (10) 
0.24  (8) 
0.18  (3) 
0.06  ( 1 ) 

0.36  (4) 
0.33  (9) 

NOTE:  Age  of  all  animals  was  estimated  by  use  of  dry  eye  lens 
weights.  Tests  were  scrotal  in  males  6  months  or  older  and 
nonscrotal  in  those  younger  than  6  months.  Number  of 
animals  used  in  samples  is  in  parentheses. 


it  is  of  interest  that  in  the  months  of  high  residue  levels, 
April-August,  vertebrates  were  more  important  in  the 
diet  and  insects  were  less  important  (8).  Although 
stomach  and  rectal  contents  revealed  food  intake  over  a 
limited  period,  they  may  represent  individual  preference 
and  reflect  seasonal  trends.  Higher  residues  were  found 
in  those  animals  with  fish,  mammal,  bird,  and  crus- 
tacean remains  in  their  guts  than  in  those  with  insects 
and  spiders  (P  <  0.01).  Mean  liver  residues  and  corre- 
sponding stomach  contents  were  as  follows:  mammals 
(n  =  3),  0.99  ppm;  fish  (n  =  3),  1.29  ppm;  birds 
(/I  =  5),  1.04  ppm;  crustaceans  (n  =  2),  1.89  ppm; 
spiders  («  =  4),  0.33  ppm;  and  insects  {n  =  9),  0.51 
ppm. 

There  was  no  significant  difference  between  residue 
levels  in  1970  and  1972.  HCB  was  found  in  1970  sam- 
ples only.  Dieldrin,  found  in  4  of  17  liver  samples 
(0.01-0.03  ppm)  in  1970,  occurred  in  7  of  17  samples 
in  1972  (0.01-0.09  ppm).  DDT  and  dieldrin  sales  were 
unchanged  during  the  study.  However,  in  1972,  the 
organophosphate  abate  was  used  in  more  rice-growing 
areas  for  bloodworm  treatment,  and  HCB  was  no  longer 
recommended  for  use  as  a  fungicide. 

Data  from  other  studies  on  water  rats  are  scarce.  The 
Australian  Academy  of  Science  (2)  reports  in  its  ap- 
pendices that  residues  of  2DDT  in  a  water  rat  in  Vic- 
toria were:   fat.  0.50;  muscle,  0.23;  kidney,  0.19  ppm 


wet  weight.  However,  no  biological  information  or  lo- 
cality is  given. 

Although  DDT  is  no  longer  recommended  for  blood- 
worm control,  the  moderate  degree  of  contamination 
found  in  water  rats  and  the  continuing  use  of  poten- 
tially harmful  pesticides  in  the  area  point  to  the  need  for 
a  more  detailed  study  on  the  fate  and  ecological  effect  of 
these  substances,  with  particular  emphasis  on  more 
sensitive  species. 

A  cknowledgments 
Authors  thank  the  staff  of  the  pesticide  group,  Australian 
Government  Analytical  Laboratories,  South  Australia, 
for  preparation  and  analysis  of  samples;  officers  of  the 
New  South  Wales  Department  of  Agriculture  at  Griffith 
and  Yanco  for  information  on  pesticide  use;  J.  Duns- 
more  for  suggesting  that  the  analyses  be  made;  and 
K.  H.  Bowmer.  H.  J.  Banks,  and  B.  V.  Fennessy  for 
their  comments  on  the  manuscript. 

LITERATURE  CITED 
(/)   Addison,  R.  F.,  and  T.  G.  Smith.  1974.  Organochlorine 
residue  levels  in  Arctic  ringed  seals:  variation  with  age 
and  sex.  Oikos  25(3  )  :335-337. 

(2)  Australian  Academy  of  Science.  1972.  The  use  of  DDT 
in  Australia.  Reports  of  the  Australian  Academy  of 
Science  No.  14. 

(.?)  Gaskin.  D.  £.,  M.  Holdrinet,  and  R.  Frank.  1971.  Or- 
ganochlorine pesticide  residues  in  harbour  porpoises 
from  the  Bay  of  Fundy  region.  Nature  (London) 
233(5320) :499-500. 

(4)  Muirhead-Thomson,  R.  C.  1971.  Pesticides  and  Fresh- 
water  Fauna.    Academic    Press.   New   York,   NY,   pp. 

190-191. 

(5)  Settle,  H.,  and  R.  Swift.  1972.  Simultaneous  extraction 
of  organophosphorus  and  organochlorine  pesticide 
residues  and  subsequent  clean-up  for  G.L.C.  and  T.L.C. 
determinations.  Residue  1(4):  3-8. 

(6)  Smyth,  R.  J.  1972.  Detection  of  hexachlorobenzene 
residues  in  dairy  products,  meat  fat,  and  eggs.  J.  Assoc. 
Off.  Anal.  Chem.  55(4)  :806-808. 

(7)  Stchn,  R.  A.  1976.  Foraging  response  of  small  mammal 
scavengers  to  pesticide-killed  arthropod  prey.  Amer. 
Midi.  Nat.  95(1  ):253-256. 

(8)  Woollard,  P.,  W.J.  M.  Vestjcns,  and  L.  Maclean.  1978. 
The  ecology  of  the  eastern  v\ater  rat.  Hydromys  chry- 
sogaster,  at  Griffith,  N.S.W.  Food  and  feeding  habits. 
Aust.   Wildl.   Res.   5I(l):59-73. 


188 


Pesticides  Monitoring  Journal 


Organochlorine  Residues  in  Harp  Seal  (Phagophilus  groenlandicus)  Tissues, 
Gulf  of  St.  Lawrence,  1971,  1973' 


K.  T.  Rosewell,  D.  C.  G.  Muir,  and  B.  E.  Baker 


ABSTRACT 

Levels  of  p,p'-DDT,  p,p'-TDE,  p.p'-DDE.  dieldrin.  poly- 
chlorinated  biphenyls  (PCBs),  and  HCB  were  determined  in 
certain  tissues  of  31  harp  seals  (Phagophilus  groenlandicus) 
taken  from  the  Gulf  of  St.  Lawrence  during  1971  and  1973. 
The  seals  ranged  in  age  from  less  than  two  weeks  to  18 
years.  Mean  concentrations  of  PCBs  and  ZDDT  in  the  vari- 
ous tissues  were  about  the  same.  ZDDT  levels  were  1.64- 
9.8S  ppm  in  adult  seal  blubber  and  1.08-3.73  ppm  in  seal 
pup  blubber.  Organochlorine  levels  in  harp  seal  samples 
taken  in  1973  were  similar  to  those  reported  by  other  work- 
ers for  samples  collected  in  the  Gulf  of  St.  Lawrence  during 
1967-71. 

Introduction 

Seals  occupy  a  top  position  in  long  food  chains,  and 
because  they  carry  large  quantities  of  subcutaneous  fat 
which  can  store  organochlorines,  they  have  been  used 
as  indicators  of  pollution  in  the  marine  environment 
(/,  3,  5,  7,  8.  II,  13).  Organochlorine  concentrations  in 
seals  collected  in  1967  and  1968  in  the  Gulf  of  St. 
Lawrence  indicated  a  degree  of  marine  pollution  similar 
to  that  in  European  coastal  waters  (10).  In  the  present 
study,  harp  seals  {Phagophilus  groenlandicus)  from  the 
Gulf  of  St.  Lawrence  region  were  examined  for  organo- 
chlorines to  determine  whether  1967-68  marine  pollu- 
tion levels  still  existed  and  to  measure  organochlorine 
residue  levels  in  various  tissues  of  adult  and  young 
harp  seals. 

Materials  and  Methods 

SAMPLE  COLLECTION 

Tissue  samples  were  obtained  from  1 1  harp  seals  (age 
1-18  years)  caught  in  the  Gulf  of  St.  Lawrence  in  1971, 
and  20  harp  seal  pups  caught  in  the  same  region  in 
1973.  All  samples  were  frozen  immediately  after  collec- 
tion and  transported  to  the  laboratory  where  they  were 
stored  at  —  20°C  until  analysis.  Blubber,  kidney,  liver, 
muscle,  spleen,  brain,  and  gonad  tissues  were  taken  for 
analysis. 


ANALYTICAL  METHODS 

Tissue  samples  obtained  in  1971  were  analyzed  as  de- 
scribed by  Porter  et  al.  (16)  for  their  fat  content  in  order 
to  estimate  how  much  tissue  would  contain  the  1-3  g  of 
fat  required  for  organochlorine  analysis. 

An  appropriate  weight  of  each  sample  was  dried  with 
sodium  sulfate  and  then  extracted  with  petroleum 
ether  {16).  The  petroleum  ether  extracts  were  cleaned 
by  acetonitrile-petroleum  ether  partitioning  and  Florisil 
column  chromatography  (17).  The  6:94  (v/v)  diethyl 
ether: petroleum  ether  eluate  from  the  Florisil  column 
was  transferred  to  a  4:1  (by  weight)  silica-Celite  col- 
umn (4)  in  order  to  separate  PCBs  from  2DDT.  The  15 
percent  eluate  from  the  Florisil  column,  which  contained 
dieldrin  residues,  was  subjected  to  further  cleanup  in 
which  concentrated  eluate  was  refluxed  with  2:92  (v/v) 
methanolic  KOH  (17). 

Tissue  samples  from  harp  seal  pups  caught  in  1973  were 
analyzed  for  fat  content  by  the  method  of  Holdrinet  (12). 
An  appropriate  weight  of  each  sample  was  mixed  with 
sodium  sulfate  and  sand  and  then  extracted  with  hexane 
on  a  Soxhlet  extractor.  The  hexane  extracts  were  cleaned 
on  a  deactivated  (2  percent)  Florisil  column  (12,  15), 
and  then  were  passed  through  a  charcoal  column  (12)  in 
order  to  separate  PCBs  and  HCB  from  SDDT. 

Pesticides  and  PCBs  were  determined  by  (-'H)  electron- 
capture  gas  chromatography  under  the  following 
conditions: 


Chromatograph: 
Columns: 


Temperatures.  °C: 

Chromatograph: 
Columns: 


Temperatures,  "C: 


Varian  Model  600D 

(1)  glass,  1.08  m  X  3  mm  OD,  packed  with  a 
mixture  of  6  percent  QF-1  and  4  percent 
SE-3()  on  Chromosorb  W-HP 

(2)  glass.    1.68    m    V    3    mm   OD,    packed   with 
1  percent  OV-1  on  Chromosorb  W-HP 
column   ( 1 )  195 

column   <2)  185 

Varian  Model  1400 

glass.   1.83  m    X    3  mm  ID  packed  with: 
(Da  mixture  of  6  percent  QF-1   and  4  percent 

SE-30  on  Chromosorb  W-HP 
(2)3  percent  OV-225  on  Chromosorb  W-HP 

column   (1)  215 

column   (2)  185 


'Department  of  Agricultural  Chemistry  and  Physics.  Macdonald  Col- 
lege of  McGill  University,  Saint  Anne-de-Bellevue,  Quebec,  Canada 
HOA  ICO.  Research  was  supported  in  part  by  the  Quebec  Agricultural 
Research  Council  and  by  a  scholarship  from  the  National  Research 
Council. 


Known  quantities  of  pesticides   (p,p'-DDT,  p,p'-TDE. 
p,p'-DDE,  and  dieldrin)  and  PCBs  (Aroclors  1242  and 


Vol.  12,  No.  4,  March  1979 


189 


1260)  were  added  to  a  sample  of  the  sodium  sulfate 
used  to  dehydrate  the  tissues.  Extraction  by  the  method 
of  Porter  et  ai.  (16)  produced  recoveries  of  69-102 
percent  for  organochjorine  pesticides  and  69-84  percent 
for  PCBs.  The  following  recoveries  were  obtained  using 
the  method  of  Holdrinet  {12):  p.p'-DDT,  p.p'-TDE,  and 
p.p'-DDE.  85-112  percent;  dieldrin,  81-89  percent; 
PCBs  (Aroclor  1254),  84-85  percent;  HCB,  78-89 
percent. 

Gas-liquid  chromatography  results  were  confirmed  by 
use  of  two  columns  of  different  polarity,  by  thin  layer 
chromatography,  and  by  chemical  derivatization.  In  all 
instances,  the  results  were  confirmed  by  at  least  two  of 
the  three  procedures. 

Results  and  Discussion 
The  fat  content  of  seal  tissues  is  shown  in  Tabic  1. 
Tables  2  and  3  show  the  results,  not  corrected  for  re- 
covery, of  analyses  of  the  various  tissues  for  organo- 
chiorines.  -DDT  and  PCBs  were  detected  in  all  samples. 
Dieldrin  was  detected  in  all  but  five  tissue  samples 
analyzed.  Forty  of  42  tissue  samples  from  harp  seal 
pups  contained  HCB.  Blubber  contained  the  highest 
levels  of  organochlorines.  The  mean  PCB  and  SDDT 
concentrations  in  various  tissues  were  about  the  same. 

Mean  HCB  levels,  determined  only  in  seal  pups,  and 
mean  dieldrin  levels  were  similar  in  all  tissues  analyzed. 

Brain  tissue  contained  more  extractable  lipid  (8.3  per- 
cent) than  did  liver  (3.5-4.0  percent),  kidney  (4.2 
percent),  muscle  (2.6  percent),  and  spleen  (2.8  per- 
cent). Mean  levels  of  i:DDT  and  PCBs  in  the  brain, 
however,  were  lower  than  in  other  ti.ssues.  The  results 
suggest  that  a  brain  barrier  to  PCB-  and  DDT-type 
compounds  may  exist  in  the  harp  seal  as  reported  by 
Frank  et  al.  (7).  This  may  result  from  a  difference  be- 
tween the  constitution  of  brain  lipids  and  the  lipids  of 
depot  fat.  The  authors  suggest  that  a  similar  phenome- 
non may  exist  with  dieldrin,  but  it  was  not  observed  in 
the  present  work. 

TABLE   1.     Fat  content  of  tissues  oj  harp  seals. 
Gulf  of  St.  Lawrence— 1971.  197 S 


Tissue 

Blubber  (adulls) 

(pups) 
Liver  (adulis) 

(pups) 
Kidney  (adulls) 
Muscle  (adults) 
Spleen  (adulls) 
Brain  (pups) 
Gonad  (male  pups) 
(female  pups) 


No. 
Samples 
Analyzed 

Average 

Fat 

Content,  % 

5 

7 

82.5 
86.2 

2 
3 

3.5 
4.0 

3 

4.2 

2 

2.6 

2 

2.8 

3 

8.3 

1 
1 

1.7 
7..1 

Since  the  types  of  residues  in  tissues  of  the  harp  seal 
pups  were  similar  to  those  in  the  same  tissues  of  older 
seals,  it  is  probable  that  the  residues  in  the  adult  seals 
are  passed  along  to  the  fetus  as  well  as  to  nursing  seal 
pups.  Holden  concluded  that  organochlorine  residues  in 
nursing  gray  seal  pups  were  derived  solely  from  the 
parent  seals,  since  the  pups  were  still  being  fed  by  the 
adult  females  at  the  time  of  capture  (//).  This  conclu- 
sion is  supported  by  the  fact  that  organochlorines  have 
been  found  in  the  milk  of  fur  seals  ( 2 )  and  harp  seals  (6) . 

Organochlorine  levels  in  harp  seal  pups  in  the  present 
study  are  similar  to  those  reported  previously  in  harp 
seals  taken  from  the  Gulf  of  St.  Lawrence  (9,  10,  14). 
In  the  present  study,  blubber,  liver,  and  brain  tissues  of 
young  harp  seals  contained  PCB  levels  similar  to  and 
dieldrin  levels  higher  than  those  found  by  Frank  et 
al.  (7),  i;DDT  levels  were  slightly  higher  in  the  blubber 
and  liver,  but  similar  in  brain  tissue  to  those  of  pups 
studied  by  Frank  et  al.  (7). 

In  the  present  study,  the  blubber  of  adult  harp  seals 
contained  slightly  lower  levels  of  -DDT  and  PCBs  than 
did  those  reported  by  Addison  et  al.  (/)  and  Frank  et 
al.  (7).  Muscle  tissue  of  adult  seals  contained  higher 
levels  of  PCBs  but  similar  levels  of  -DDT  and  dieldrin. 
Liver  tissue  had  lower  levels  of  -DDT  but  higher  con- 
centrations of  PCBs  than  did  the  corresponding  tissue 
analyzed  by  the  above  authors  (/,  7).  Dieldrin  concen- 
trations in  tissues  analyzed  for  the  present  study  were 
similar  to  those  reported  previously  (/.  7,  14). 

The  ratio  of  2DDT  to  PCBs  (Table  4)  was  close  to  1.0 
in  all  tissues  except  the  liver,  muscle,  and  spleen  of  the 
adult  seals.  This  may  reflect  heavy  use  of  DDT  for 
spraying  forests  in  areas  drained  by  rivers  flowing  di- 
rectly into  the  Gulf  of  St.  Lawrence,  as  well  as  the  high 
degree  of  urban  industrial  pollution  which  is  the  major 
source  of  PCBs  in  the  environment. 

A  cknowledgmen  ts 
Authors   thank   D.   E.   Sergeant   and   the   staff  of  the 
Fisheries  Research  Board  of  Canada  for  providing  the 
1971  samples  and  for  assisting  in  the  collection  of  the 
1973  samples. 

LITERATURE  CITED 
(/)  Addison,  R.  F..  S.  R.  Kerr,  J.  Dale,  and  D.  E. 
Serjeant.  1973.  Variation  in  organochlorine  residue 
levels  with  age  in  Gulf  of  St.  Lawrence  harp  seals 
(I'liaaophitus  aroenlandicus).  J.  Fish.  Res.  Board  Can. 
30(5):  595-600. 

(2)  Anas,  R.  E..  and  A.  J.  Wilson,  Jr.  1970.  Organo- 
chlorine pesticides  in  nursing  fur  seal  pups.  Pcstic. 
Monit.  J.  4(3):114-116. 

(3)  Anas.  R.  E.  1974.  DDT  plus  PCBs  in  blubber  of 
harbor  seals.    Pestic.  Monit.  J.  8(1):  12-14. 


190 


Pesticides  Monitoring  Journal 


TABLE  2.     Organochlorine  residues  in  tissues 

of  adult  harp  seals.  Gulf  of  St. 

Lawrence— 

-March  1971 

Residues,  ppm  wet  weiuht 

Seal                                     Age. 

Number            Sex                years 

Tissue 

p,p'-DDE 

P.P-TDE 

P,p'-DDT 

2  DDT 

DiELDRIN 

PCBs 

1                   M                    11 

blubber 

0.680 

0.359 

1.096 

2.135 

0.320 

2.05 

Itidney 

0.070 

0.036 

0.212 

0.318 

0.012 

0.26 

liver 

0.105 

0.043 

0.291 

0.439 

0.006 

1.45 

muscle 

0.138 

0.039 

0.102 

0.279 

0.005 

0.47 

spleen 

0.039 

0.016 

0.076 

0.131 

<0,002 

0.16 

2                    F                       1 

blubber 

0.918 

0.433 

8.530 

9.881 

0.244 

0.49 

kidney 

0.268 

0.194 

2.197 

2.659 

0.002 

1.54 

liver 

0.147 

0.088 

0.079 

0.314 

0.004 

0.65 

muscle 

0.048 

0.017 

0.063 

0.128 

0.002 

1.10 

spleen 

0.358 

0.292 

0.759 

1.409 

0.004 

2.57 

3                    M                      3 

blubber 

2.056 

0.683 

2.684 

5.423 

0.011 

2.45 

kidney 

0.145 

0.060 

0.206 

0.411 

0.005 

0.86 

liver 

0.060 

0.075 

0.147 

0.282 

0.007 

0.37 

muscle 

0.052 

0.031 

0.090 

0.173 

0.003 

0.18 

spleen 

0.108 

0.059 

0.086 

0.253 

0.004 

0.55 

4                    M                      5 

blubber 

0.726 

0.631 

2.550 

3.907 

0.024 

13.30 

kidney 

0.057 

0.020 

0.082 

0.159 

0.005 

0.62 

liver 

0.086 

0.116 

0.106 

0.308 

0.009 

0.76 

muscle 

0.089 

0.018 

0.097 

0.204 

0.002 

0.34 

J                    M                      6 

blubber 

1.187 

0.459 

1.280 

2.926 

0.096 

1.96 

kidney 

0.048 

0.023 

0.047 

0.118 

0.002 

0.25 

liver 

0.039 

0.071 

0.036 

0.146 

<0.002 

0.11 

muscle 

0.076 

0.057 

O.084 

0.217 

0.002 

0.46 

spleen 

0.056 

0.038 

0.156 

0.250 

<0.002 

0.17 

6                    M                      6 

blubber 

0.835 

0.316 

1.501 

2.652 

0.012 

3.51 

kidney 

0.097 

0.041 

0.039 

0.177 

0.004 

0.45 

liver 

0.170 

0.086 

0.055 

0.311 

<0.002 

0.48 

muscle 

0.094 

0.040 

0.106 

0.240 

0.005 

0.32 

spleen 

0.112 

0.062 

0.103 

0.277 

0.009 

0.30 

7                    M                    2-3 

blubber 

0.610 

0.287 

1.551 

2.448 

0.124 

3.46 

kidney 

0.034 

0.016 

0.042 

0.092 

<0.002 

0.04 

liver 

0.052 

0.030 

0.087 

0.169 

0.016 

0.82 

spleen 

0.051 

0.021 

0.059 

0.131 

0.002 

0.07 

8                    M                    1-2 

blubber 

1.063 

0.732 

3.391 

5.186 

0.010 

1.53 

kidney 

0.074 

0.036 

0.070 

0.180 

0.006 

0.19 

liver 

0.077 

0.114 

0.057 

0.248 

0.002 

0.36 

muscle 

0.091 

0.087 

0.130 

0.308 

0.003 

0.77 

spleen 

0.094 

0.095 

0.152 

0.341 

0.007 

0.30 

9                    M                      13 

blubber 

0.556 

0.354 

0.731 

1.641 

0.022 

1.20 

kidney 

0.071 

0.022 

0.128 

0.221 

0.005 

0.18 

liver 

0.217 

0.149 

0.455 

0.821 

0.018 

0.36 

muscle 

0.098 

0.038 

0.068 

0.204 

0.004 

0.07 

spleen 

0.075 

0.023 

0.091 

0.189 

0.010 

0.33 

10                    M                     13 

blubber 

1.849 

0.770 

2.300 

4.919 

0.022 

2.77 

kidney 

0.125 

0.077 

0.366 

0.568 

0.008 

0.20 

liver 

0.347 

0.215 

0.121 

0.683 

0.026 

0.64 

muscle 

0.060 

0.033 

0.112 

0.205 

0.008 

0.06 

spleen 

0.049 

0.023 

0.047 

0.119 

0.003 

0.09 

11                    M                     18 

blubber 

1.108 

0.680 

1.326 

3.114 

0.01 1 

2.83 

kidney 

0.061 

0.047 

0.064 

0.172 

0.005 

0.31 

muscle 

0.066 

0.054 

0.200 

0.320 

0.009 

0.41 

spleen 

0.043 

0.161 

0.090 

0.294 

0.016 

0.07 

NOTE:   Detection  limit  =  0.002  ppm. 

(4)  Armour,  ].  A.,  ami  ].  A.  Burke.  1970.  Method  for 
separating  polychlorinated  biphenyls  from  DDT  and 
its  analogs.  J.  Assoc.  Off.  Anal.  Chem.  53(4)  ;761- 
768. 

(5)  Bowes.  G.  W.,  and  C.  J.  Jonkel.  1975.  Presence  and 
distribution  of  polychlorinated  biphenyls  (PCB)  in 
arctic  and  subarctic  marine  food  chains.  J.  Fish.  Res. 
Board  Can.   32(11  ):21 11-2123. 

(6)  Cook.  H.  W..  and  B.  E.  Baker.  1969.  Seal  milk.  I. 
Harp  seal  (Phaaophilus  groentandicus)  milk:  Compo- 
sition and  pesticide  residue  content.  Can.  J.  Zool. 
47(6): 1129-1132. 


(7)  Frank.  R.,  K.  Ronald,  and  H.  E.  Braun.  1973.  Or- 
ganochlorine residues  in  harp  seals  (Phagophilus 
groenlandicus)  caught  in  eastern  Canadian  waters.  J. 
Fish.  Res.  Board  Can.  30(8) :  1053-1063. 

(S)  Gaskin.  D.  £..  R.  Frank,  M.  Holdrinct,  K.  Ishida,  C. 
J.  Walton,  and  M.  Smith.  1973.  Mercury.  DDT  and 
PCB  in  harbour  seals  (Phoca  viiulina)  from  the  Bay 
of  Fundy  and  Gulf  of  Maine.  J.  Fish.  Res.  Board 
Can.   30(3):47I^75. 

(9)  Holden,  A.  V.,  and  K.  Marsden.  1967.  Organochlo- 
rine pesticides  in  seals  and  porpoises.  Nature  216 
(5122): 1274-1276. 


Vol.  12,  No.  4,  March  1979 


191 


TABLE  3.     Organochlorine  residues  in  tissues  of  harp  seal  pups,  Gulf  of  St.  Lawrence — March  1973  > 


Seal 
Number 

Tissue 

p.p'-DDT 

P.p'-TDE 

P.P-DDE 

2DDT 

DiELDRIN 

HCB 

PCBs 

1 

blubber 

liver 

brain 

0.833 
0.041 
0.026 

0.132 
0.007 
0.003 

2.019 
0.096 
0.021 

2.984 
0.144 
0.050 

0.087 
0.005 
0.006 

0.054 
0.003 
0.002 

1.812 
0.116 
0.097 

2 

blubber 

liver 

brain 

0.602 
0.027 
0.028 

0.119 
0.004 
0.003 

1.044 
0.025 
0.010 

1.765 
0.056 
0.041 

O.ISO 
0.007 
0.010 

0.130 
0.007 
0.005 

1.869 
0.063 
0.022 

3 

blubber 

liver 

brain 

0.830 
0.031 
0.034 

0.209 
0.008 
0.006 

1.314 
0.037 
0.014 

2.353 
0.076 
0.054 

0.117 
0.007 
0.008 

0.061 

0.003 

<0.002 

2.984 
0.116 
0.037 

4 

blubber 

liver 

brain 

0.460 
0.038 
0.022 

0.079 
0.006 
0.003 

0.690 
0.036 
0.011 

1.229 
0.080 
0.036 

0.092 
0.006 
0.006 

0.109 
0.007 
0.004 

1.392 
0.112 
0.029 

5 

blubber 

liver 

brain 

0.599 
0.032 
0.007 

0.100 
0.004 
0.002 

0.787 
0.019 
0.007 

1.486 
0.055 
0.016 

0.075 
0.004 
0.004 

0.106 
0.005 
0.003 

1.601 
0.043 
0.019 

6 

blubber 

liver 

brain 

0.811 
0.023 
0.015 

0.096 
0.004 
0.002 

1.206 
0.024 
0.010 

2.113 
0.051 
0.027 

0.103 
0.004 
0.006 

0.114 
0.005 
0.003 

1.476 
0.039 
0.017 

7 

blubber 

liver 

brain 

0.750 
0.023 
0.023 

0.129 
0.005 
0.004 

1.713 
0.040 
0.017 

2.592 
0.068 
0.044 

0.082 
0.003 
0.005 

0.062 
0.003 
0.002 

2.908 
0.071 
0.039 

8 

blubber 

liver 

brain 

0.670 
0.031 
0.019 

0.144 
0.008 
0.003 

1.294 
0.060 
0.016 

2.108 
0.099 
0.038 

0.096 
0.009 
0.009 

0.034 
0.004 
0.002 

2.623 
0.145 
0.033 

9 

blubber 

liver 

brain 

0.729 
0.021 
0.034 

0.115 
0.006 
0.005 

1.294 
0.041 
0.014 

2.138 
0.068 
0.053 

0.096 
0.004 
0.007 

0.055 

0.003 

<0.002 

2.664 
0.099 
0.041 

10 

blubber 

liver 

brain 

0.660 
0.037 
0.006 

0.086 
0.007 
0.003 

1.079 
0.056 
0.007 

1.825 
0.100 
0.016 

0.095 
0.007 
0.005 

0.085 
0.006 
0.002 

1.810 
0.115 
0.022 

11 

blubber 

0.578 

0.117 

1.137 

1.832 

0.088 

0.121 

2.020 

12 

blubber 

0.536 

0.086 

0.757 

1.379 

0.075 

0.065 

2.268 

13 

blubber 
gonad 

0.468 
0.023 

0.053 
0.003 

0.562 
0.012 

1.083 
0.038 

0.076 
0.002 

0.083 
0.002 

1.150 
0.045 

14 

blubber 
gonad 

0.634 
0.079 

0.132 
0.014 

1.327 
0.116 

2.093 
0.209 

0.093 
0.008 

0.119 
0.011 

2.225 
0.211 

15 

blubber 

0.735 

0.152 

0.994 

1.881 

0.104 

0.067 

2.074 

16 

blubber 

0.760 

0.159 

1.362 

2.821 

0.144 

0.097 

2.416 

17 

blubber 

0.460 

0.071 

0.830 

1.361 

0.073 

0.068 

1.926 

18 

blubber 

1.188 

0.404 

2.138 

3.730 

0.179 

0.042 

6.226 

19 

blubber 

0.475 

0.100 

0.708 

1.283 

0.087 

0.050 

2.313 

20 

blubber 

0.626 

0.070 

0.875 

1.571 

0.074 

0.028 

1.512 

NOTE:   Deteclion  limit 
^  Age  of  pups  <2  weeks. 


0.002  ppm. 


DDT/DDE 

i:DDT/PCB 

2.32 

1.24 

0.58 

0.86 

1.10 

0.62 

0.70 

0.92 

3.30 

1.04 

1.30 

0.54 

1.65 

0.74 

1.62 

1.03 

TABLE  4.     Ratios  of  DDT  to  DDE  and  ^DDT  to  PCBs 
in  harp  seal  tissues,  Gulf  of  St.  Lawrence — 1971-1973 

Tissue 

Blubber  (adults) 

(pups) 
Liver  (adults) 

(pups) 
Kidney  (adults) 
Muscle  (adults) 
Spleen  (adults) 
Brain  (pups) 
NOTE;   Ratios  calculated   from  mean  concentrations  of  each  residue. 

(10)  lloUicn.  A.  V.  1969.  Organochlorine  residues  in  seals. 
Report  No.  E.  22,  Fisheries  Improvement  Committee, 
International  Council  for  Exploration  of  the  Sea,  7  pp. 

(//)  Holdcn,  A.  V.  1970.  Monitoring  organochlorine  con- 
lamination  of  the  marine  environment  by  analysis  of 
residues  in  seals.  Report  presented  to  the  FAO  Con- 
ference on  Marine  Polltilion,  Rome,  15  pp. 

(12)  Holdrinet,  M.  V.  H.  1974.  Determination  and  confir- 
mation of  hcxachlorobenzene  in  fatty  samples  in  the 
presence   of  other   residual    halogenated   hydiocarbon 


pesticides  and  polychlorinated  biphenyls.  J.  Assoc.  Off. 
Anal.  Chem.  57(3  )  :580-584. 

(13)  Jensen,  S.,  A.  G.  Johnels,  M.  Olsson.  and  G.  Otter- 
lind.  1969.  DDT  and  PCB  in  marine  animals  from 
Swedish  waters.  Nature  224(5216)  :247-250. 

(14)  Jones,  D.,  K.  Ronald,  D.  M.  Lavinnc.  R.  Frank,  M. 
Holdrinet,  and  J.  F.  Uthe.  1976.  Organochlorine  and 
mercury  residues  in  the  harp  seal  ( Phai;ophilus  groen- 
landicus).  Sci.  Total  Environ.  5:181-195. 

(15)  Langlois,  B.  E.,  A.  R.  Stemp,  and  B.  J.  Liska.  1964. 
Analysis  of  animal  food  products  for  chlorinated  insec- 
ticide residues.  I.  Column  clean-up  of  samples  for 
electron  capture  gas  chromatographic  analysis.  J.  Milk 
Food  Technol.   27(  7  )  :2()2-204. 

(16)  Porter,  M.  L.,  S.  J.  V.  Yoiini;.  and  J.  A.  Burke.  1971. 
A  method  for  the  analysis  of  fish,  animal  and  poultry 
tissue  for  chlorinated  pesticide  residue  analysis.  J. 
Assoc.  Off.  Anal.  Chem.   53(6) :  1300-1303. 

(17)  We.s-.Kcl,  J.  R.,  H.  C.  Barry.  J.  A.  Burke,  J.  Cummings, 
and  J.  R.  McDowell.  1975.  Pesticide  analytical  man- 
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Department  of  Health,  Education,  and  Welfare,  Wash- 
ington, DC. 


192 


Pesticides  Monitoring  Journal 


Nationwide  Residues  of  Organochlorine  Compounds  in  Starlings  (Sturnus  vulgaris),  7976 


Donald  H.  White ' 


ABSTRACT 

Organochlorine  pesticide  and  PCB  residues  in  starlings  from 
126  sites  within  the  contiguous  48  states  were  monitored 
during  fall  1976.  The  average  nationwide  level  of  DDE  and 
PCBs  has  increased  significantly  since  1974,  but  the  number 
of  sites  reporting  PCB  residues  has  decreased  fivefold.  Diel- 
drin  residues  have  remained  unchanged  since  1974.  Highest 
DDE  levels  occurred  in  samples  from  parts  of  Arizona, 
Arkansas,  California,  Louisiana,  and  New  Mexico. 

Introduction 
The  Fish  and  Wildlife  Service,  U.S.  Department  of  the 
Interior,  began  nationwide  monitoring  of  organochlorine 
residues  in  starlings  (Sturnus  vulgaris)  in  1967-68  as 
part  of  the  National  Pesticides  Monitoring  Program. 
Residue  data  from  the  original  collections  were  to  serve 
as  a  baseline  against  which  future  residue  levels  might 
be  compared.  Initially,  organochlorine  compounds  were 
to  be  monitored  at  2-year  intervals.  However,  in  1976, 
starling  collections  were  scheduled  at  3-year  intervals  to 
coincide  with  waterfowl  wing  collections  which  also  are 
monitored  nationwide  for  organochlorine  residues.  Star- 
lings were  selected  because  their  range  is  the  continental 
United  States,  they  are  considered  expendable,  and  their 
omnivorous  feeding  habits  should  reflect  residues  from  a 
wide  range  of  food  sources  (7).  The  present  report 
presents  results  of  the  1976  starling  collections  including 
residue  levels  from  each  collection  site,  a  comparison  of 
nationwide  averages  of  DDE,  dieldrin,  and  polychlorin- 
ated  biphenyls  (PCBs)  in  the  four  collection  periods 
since  1970,  and  the  distribution  of  DDE,  dieldrin,  and 
PCBs  by  frequency  of  occurrence  at  collection  sites. 

Collection  Methods 
Sampling  design  and  collection  procedures  have  been 
reported  previously  (1-3).  The  sample  area  lies  within 
the  continental  United  States  and  consists  of  40  blocks 
of  5°  latitude  and  longitude.  In  the  initial  1967-68 
study,  139  collection  sites  were  randomly  selected  within 
these  blocks  and  were  to  be  used  for  starling  collections 
thereafter.  During  September-December  1976,  samples 
were  obtained  from  126  of  the  sites.    Table  1  lists  col- 


ipish  and  Wildlife  Service,  U.S.  Department  of  the  Interior.  Patuxent 
Wildlife  Research  Center,  Gulf  Coast  Field  Station.  P.O.  Box  2506, 
Victoria,  TX  77901. 


lection  sites  for  1976  by  state  and  county;  Figure  1 
shows  their  actual  locations  within  sampling  blocks. 

Starling  samples  consist  of  pools  of  10  birds  taken  by 
trapping  or  shooting,  although  some  samples  may  be 
smaller;  those  samples  with  fewer  than  10  birds  are 
identified  in  Table  1.  Each  pool  is  wrapped  in  alumi- 
num foil,  placed  in  a  polyethylene  bag,  frozen  as  soon 
as  possible,  and  shipped  to  Raltech  Scientific  Services, 
Inc.,  Madison,  Wisconsin,  for  chemical  analysis.  A  total 
of  227  pools  were  analyzed  for  organochlorine  residues. 

A  nalytical  Procedures 

The  feet,  beaks,  wing  tips,  and  skins  were  removed  from 
birds  in  each  composite  sample  and  the  sample  was 
weighed  and  ground  in  a  food  grinder.  Twenty  grams 
of  the  homogenate  was  ground  with  150  g  anhydrous 
sodium  sulfate  and  allowed  to  air  dry  overnight  in  a 
hood.  The  dried  sample  was  placed  in  a  43  mm  X 
123  mm  Whatman  extraction  thimble  and  extracted  for 
8  hours  on  a  Soxhlet  apparatus  with  150  ml  ethyl  ether 
and  150  ml  petroleum  ether.  The  resulting  solution  was 
concentrated  to  near  dryness  on  a  steam  bath,  and  the 
remaining  solvent  was  removed  with  nitrogen  at  room 
temperature.  The  residue  was  transferred  to  a  25-mI 
volumetric  flask  with  93:1  toluene-ethyl  acetate  solution 
and  diluted  to  volume. 

Five  ml  of  the  extract  was  placed  on  an  Auto-Prep 
Model  1001  gel  permeation  chromatograph,  standard- 
ized for  chlorinated  insecticides  and  PCBs,  with  the 
following  operating  conditions: 

Packing:  80  g  Bio-Beads  (SX-3),  200^00  mesh 

Column:  600  mm  x  25  mm  ID 

Solvent:  3:1  toluene-ethyl  acetate  solution 

Flow  rate:  5.5  ml/minute 

Dump  time:  30  minutes 

Collect  time:  14  minutes 

Wash  time:  4  minutes 

The  resulting  solution  was  concentrated  on  a  flash 
evaporator  to  approximately  5  ml  in  the  presence  of 
5  ml  isooctane  and  diluted  to  25  ml  with  petroleum 
ether.  A  4-/^1  sample  was  injected  into  a  gas  chro- 
matograph equipped  with  an  electron-capture  detector.  If 
PCBs  were  not  detected,  the  results  were  quantified. 


Vol.  12,  No.  4,  March  1979 


193 


TABLE  1.     OrganocMorine  residues  in  starlinns,  continental  United  States,  1976 


Residues, 

PPM  WET  WEIGHT 

Heptachlor 

Chlordane 

State 

County  1 

Site 

DDE 

DDT 

DiELDRIN 

PCBS2 

Epoxide 

HCB 

Isomers 

Alabama 

Marion 

3-H-l 

0.28 

ND 

0.14 

ND 

0.05 

ND 

0.04 

Calhoun 

4-H-3 

0.31 

ND 

0.01 

0.85 

0.04 

ND 

0.04 

Arizona 

Navajo 

3-C-3 

0.13 

ND 

ND 

ND 

ND 

ND 

ND 

Yavapai 

3-C-4 

0.27 

ND 

0.03 

ND 

0.01 

ND 

ND 

Maricopa 

4-C-l 

5.00 

ND 

0.01 

ND 

0.01 

ND 

ND 

Graham  (3) 

4-C-2 

3.41 

ND 

0.01 

ND 

ND 

ND 

ND 

Arkansas 

Yell 

3-G-2 

0.31 

ND 

ND 

0.35 

0.13 

ND 

0.06 

Lonoke 

3-G-3 

11.10 

ND 

0.09 

0.15 

0.17 

ND 

0.06 

California 

Colusa  (9) 

2-A-l 

0.39 

ND 

0.02 

ND 

ND 

ND 

ND 

Shasta 

2-A-2 

0.16 

ND 

0.01 

ND 

ND 

ND 

ND 

Modoc 

2-A-3 

0.13 

ND 

0.01 

ND 

0.01 

ND 

ND 

Ventura 

3-A-l 

1.26 

ND 

0.04 

ND 

ND 

ND 

ND 

Monterey  (9) 

3-A-3 

2.20 

0.02 

0.08 

0.39 

ND 

ND 

0.01 

Kern 

3-B^ 

3.14 

ND 

0.03 

ND 

ND 

ND 

ND 

Imperial 

4-B-l 

7.41 

ND 

0.02 

ND 

ND 

ND 

ND 

Los  Angeles 

4-B-2 

1.37 

ND 

0.04 

ND 

ND 

ND 

ND 

Colorado 

Weld 

2-D-4 

1.36 

ND 

0.06 

ND 

0.01 

ND 

ND 

Montrose 

3-D-l 

0.26 

ND 

ND 

ND 

ND 

ND 

ND 

Crowley 

3-D-2 

0.15 

ND 

ND 

ND 

0.01 

ND 

ND 

Connecticut 

New  London 

2-K-2 

0.54 

ND 

0.03 

0.39 

0.09 

ND 

0.17 

Florida 

Bay 

4-H-l 

0.23 

0.04 

0.09 

0.28 

0.04 

ND 

0.07 

Madison 

4-1-3 

0.90 

ND 

0.11 

ND 

0.07 

ND 

0.18 

Highlands 

5-1-2 

0.67 

ND 

0.01 

ND 

ND 

ND 

ND 

Georgia 

Upson 

4-H-4 

1.03 

ND 

0.16 

0.44 

0.30 

ND 

0.20 

Wayne 

4-1-2 

0.35 

0.03 

0.11 

0.26 

0.03 

ND 

0.13 

Idaho 

Nez  Perce 

1-B-l 

0.16 

ND 

ND 

ND 

ND 

0.01 

0.01 

Owyhee 

2-B-l 

1.15 

ND 

0.03 

ND 

0.01 

ND 

ND 

Franklin 

2-C-3 

1.12 

ND 

0.05 

ND 

0.02 

ND 

ND 

Minidoka 

2-C^ 

2.06 

ND 

U.06 

0.16 

0.01 

ND 

ND 

Illinois 

Stephenson 

2-G-l 

0.49 

ND 

0.17 

0.21 

0.06 

ND 

0.05 

Adams 

2-G-3 

0.04 

ND 

0.22 

ND 

0.36 

0.56 

0.09 

Kane 

2-H-2 

0.65 

ND 

0.12 

ND 

0.04 

ND 

0.01 

Indiana 

Henry 

2-H-3 

0.02 

ND 

0.03 

ND 

0.03 

0.03 

0.01 

Iowa 

Fremont 

2-F-3 

0.05 

ND 

0.23 

ND 

0.12 

ND 

0.04 

Jasper  (8) 

2-G-2 

0.08 

ND 

0.28 

ND 

0.17 

0.01 

0.06 

Marshall  (9) 

2-G-4 

0.09 

ND 

0.07 

ND 

0.11 

ND 

0.O2 

Kansas 

Rawlins 

2-E-l 

0.29 

ND 

0.02 

0.15 

ND 

ND 

ND 

Phillips  (7) 

2-E-2 

0.05 

ND 

0.02 

ND 

ND 

0.03 

ND 

Kearny  (9) 

3-E-l 

0.03 

ND 

0.02 

ND 

0.01 

ND 

0.03 

Nemaha 

2-F.^ 

0.07 

ND 

0.16 

ND 

0.04 

0.01 

0.02 

Marion 

3-F-2 

0.04 

ND 

0.06 

ND 

0.03 

0.06 

0.02 

Kentucky 

Ohio 

3-H-2 

0.15 

ND 

0.04 

ND 

0.02 

ND 

0.03 

Hopkins  (9) 

3-H^ 

1.04 

ND 

0.04 

ND 

0.02 

ND 

0.11 

Louisiana 

Jefferson 

4-G-3 

0.93 

ND 

0.04 

0.42 

0.08 

0.02 

0.10 

Rapides 

4-G^ 

10.70 

ND 

0.04 

0.63 

0.03 

ND 

0.01 

Maine 

Penobscot 

l-K-2 

0.13 

0.06 

0.01 

0.24 

0.01 

ND 

0.01 

Michigan 

Chippewa 

1-H  1 

0.03 

ND 

0.03 

ND 

ND 

ND 

ND 

Grand  Traverse 

1  H-2 

0.47 

ND 

0.02 

ND 

ND 

ND 

ND 

Kent 

2-H-l 

0.17 

ND 

ND 

0.11 

ND 

ND 

ND 

Ingham 

2-H^ 

0.51 

ND 

0.02 

ND 

0.03 

ND 

0.01 

Minnesota 

Aitkin 

1-G-l 

0.05 

ND 

ND 

ND 

ND 

ND 

ND 

Renville 

l-F-2 

0.04 

ND 

0.03 

ND 

ND 

ND 

ND 

Mississippi 

Leake 

4-G-l 

0.42 

ND 

0.18 

ND 

0.26 

ND 

0.09 

Harrison 

4-G-2 

0.67 

0.04 

0.24 

ND 

0.11 

ND 

0.07 

Jackson 

4-H-2 

1.43 

ND 

0.07 

ND 

0.04 

ND 

0.03 

Missouri 

Butler  (7) 

3-G-l 

0.12 

ND 

0.06 

0.11 

0.03 

0.23 

ND 

Bollinger 

3-G-4 

0.06 

ND 

0.02 

ND 

ND 

ND 

ND 

Montana 

Meagher  (9) 

l-C-1 

0.03 

ND 

ND 

0.14 

ND 

ND 

ND 

Missoula 

1-C^ 

0.06 

0.04 

O.lll 

ND 

0.02 

0.02 

ND 

Richland  (6) 

1-D  1 

0.01 

ND 

ND 

ND 

ND 

ND 

ND 

Yellowstone 

l-D-4 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

Nebraska 

Keith  (7) 

2-E-3 

0.04 

ND 

0.02 

ND 

ND 

ND 

ND 

Brown 

2-E^ 

0.04 

ND 

0.02 

ND 

0.03 

ND 

ND 

Lancaster  (6) 

2-F-l 

0.25 

0.07 

ND 

0.14 

0.05 

0.01 

0.04 

Clay 

2-F-2 

0.10 

ND 

0.07 

ND 

ND 

ND 

ND 

Nevada 

White  Pine 

2-B-3 

0.07 

0.04 

ND 

ND 

ND 

ND 

ND 

Humboldt 

2  B^ 

0.53 

ND 

(1.02 

ND 

0.02 

ND 

0.04 

Nye 

3   B  2 

0.17 

ND 

0.04 

ND 

ND 

ND 

ND 

Clark 

3-B-3 

0.20 

0.04 

0.06 

0.32 

O.lfl 

ND 

0.21 

New  Mexico 

Bernalillo 

3D  3 

0.60 

ND 

ND 

ND 

ND 

ND 

ND 

Santa  Fe 

3  D-4 

2.20 

ND 

0.03 

ND 

ND 

ND 

ND 

Luna 

4-D-l 

0.63 

ND 

ND 

ND 

ND 

ND 

ND 

Otero 

4-D-2 

1.71 

ND 

0.02 

ND 

ND 

ND 

ND 

Chaves 

4-D-3 

12.40 

ND 

0.03 

ND 

0.03 

ND 

0.01 

Quay 

3-E-2 

0.15 

ND 

ND 

ND 

0.01 

ND 

ND 

(Continued  next  page) 
194 


Pesticides  Monitoring  Journal 


TABLE   1    (Cont'd.).     Organochlorine  residues  in 

Starlings,  continental  United  States, 

1976 

Residues, 

PPM  WET  weight 

Heptachlor 

Chlordane 

State 

County' 

Site 

DDE 

DDT 

DiELORIN 

PCBs  = 

Epoxide 

HCB 

ISOMEIS 

New  York 

Jefferson  (5) 

2-J-4 

0.09 

ND 

ND 

ND 

0.03 

ND 

0.04 

Rensselaer  (8) 

2-K-l 

0.99 

0.03 

0.02 

ND 

ND 

ND 

ND 

North  Carolina 

Wilkes 

3-1-1 

0.08 

ND 

0.02 

ND 

ND 

ND 

ND 

Macon 

3-1-3 

0.51 

ND 

0.03 

ND 

ND 

ND 

ND 

Pender 

3-J-l 

1.21 

ND 

0.20 

0.18 

0.03 

ND 

0.11 

North  Dakota 

McLean 

l-E-3 

0.03 

ND 

0.01 

ND 

ND 

ND 

ND 

Grand  Forks 

1-F-l 

0.43 

ND 

ND 

ND 

ND 

ND 

ND 

Ransom 

l-F-4 

0.07 

0.01 

ND 

0.16 

ND 

ND 

ND 

Ohio 

Pickaway 

2-1-1 

0.05 

ND 

0.05 

ND 

0.04 

0.73 

0.05 

Wood 

2-1-2 

0.08 

ND 

0.15 

ND 

0.05 

0.06 

0.01 

Noble 

2-1-3 

0.08 

0.04 

0.01 

ND 

0.02 

ND 

0.03 

Oklahoma 

Beckham 

3-E-4 

0.14 

ND 

0.03 

ND 

0.02 

ND 

ND 

Canadian 

3-F-l 

0.06 

ND 

0.03 

ND 

0.05 

0.03 

ND 

Nowata  (9) 

3-F-3 

1.52 

ND 

0.05 

ND 

0.02 

ND 

0.03 

Okmulgee 

3-F-4 

0.12 

0.05 

0.10 

ND 

0.01 

ND 

0.01 

Oregon 

Yamhill 

l-A-3 

0.67 

ND 

0.10 

ND 

0.15 

0.10 

0.01 

Lane 

l-A-4 

0.32 

ND 

0.05 

ND 

0.05 

ND 

ND 

Benton 

l-A-5 

0.27 

ND 

0.06 

ND 

0.02 

ND 

ND 

Klamath 

2-A-4 

0.20 

ND 

ND 

ND 

0.02 

ND 

ND 

Baker (9) 

l-B-4 

0.06 

ND 

ND 

ND 

ND 

ND 

ND 

Harney 

2-B-2 

0.15 

ND 

ND 

ND 

ND 

ND 

ND 

Pennsylvania 

Somerset  (6) 

2-J-2 

0.46 

ND 

0.05 

ND 

0.06 

ND 

0.10 

Luzerne 

2-J-3 

0.59 

0.04 

0.06 

0.48 

0.06 

ND 

0.13 

South  Dakota 

Potter 

1-E-l 

0.07 

ND 

0.02 

ND 

ND 

ND 

ND 

Butte 

l-E-2 

0.02 

ND 

ND 

ND 

ND 

ND 

ND 

Hughes 

1-E^ 

0.03 

ND 

0.02 

ND 

ND 

ND 

ND 

Brown 

l-F-3 

0.03 

ND 

0.02 

ND 

ND 

ND 

ND 

Tennessee 

Davidson 

3-H-3 

0.09 

0.02 

0.14 

0.22 

0.01 

ND 

0.05 

Texas 

Kinney 

4-E-3 

1.05 

ND 

0.05 

ND 

0.89 

ND 

0.05 

Cochran 

4-E^ 

0.11 

ND 

0.04 

ND 

0.04 

0.01 

ND 

Bexar (7) 

4-F-l 

0.15 

ND 

0.02 

ND 

0.04 

0.02 

0.04 

Clay 

4-F-3 

0.97 

ND 

0.04 

ND 

0.47 

0.07 

0.07 

San  Patricio 

5-F-l 

0.23 

ND 

ND 

ND 

0.01 

ND 

ND 

Utah 

Weber 

2-C-l 

0.91 

0.04 

0.04 

0.55 

ND 

ND 

ND 

Duschesne 

2-C-2 

0.10 

ND 

ND 

ND 

0.02 

ND 

ND 

Millard 

3-C-l 

0.42 

ND 

0.01 

ND 

ND 

ND 

ND 

Grand 

3-C-2 

0.93 

ND 

ND 

ND 

0.08 

ND 

0.02 

Vermont 

Addison 

1-K-I 

0.14 

ND 

0.01 

0.11 

0.04 

ND 

0.10 

Virginia 

Amherst  (8) 

3-1^ 

0.52 

ND 

0.02 

ND 

ND 

0.02 

ND 

Prince  George  (9) 

3-J-2 

0.38 

ND 

0.02 

0.11 

0.02 

0.04 

0.05 

Caroline 

3-J-3 

0.11 

ND 

0.06 

ND 

0.07 

0.20 

0.07 

Washington 

Yakima 

l-A-2 

0.26 

ND 

0.12 

ND 

0.03 

0.54 

ND 

Spokane  (5) 

1  B-2 

0.38 

ND 

0.24 

ND 

ND 

2.01 

ND 

Whitman 

l-B-3 

0.27 

ND 

ND 

ND 

ND 

0.51 

ND 

Wisconsin 

Trempealeau  (9) 

l-G-3 

1.16 

ND 

0.01 

ND 

0.01 

ND 

ND 

Marathon  (9) 

l-G-2 

0.07 

ND 

ND 

ND 

ND 

ND 

ND 

Wyoming 

Big  Horn 

l-D-2 

0.02 

ND 

0.01 

ND 

0.03 

ND 

ND 

Crook  (9) 

1-D  3 

ND 

ND 

ND 

ND 

ND 

ND 

ND 

Goshen 

2-D-l 

0.21 

ND 

ND 

ND 

ND 

ND 

ND 

Washakie 

2-D-2 

0.07 

ND 

0.03 

ND 

0.02 

ND 

ND 

NOTE:  ND  =  not  detected. 

'Most  samples  consist  of  a  pool  of  10  birds.    Numbers  in  parentheses  indicate  samples  made  up  of  fewer  birds. 

-PCBs  were  quantihed  on  the  basis  of  Aroclor  1254. 


If  PCBs  were  detected,  the  extracts  were  subjected  to 
silicic  acid  separation.  Ten  ml  of  the  extract  from  the 
gel  permeation  chromatograph  was  placed  on  a  15-g 
standardized  Silicar  CC-4  column.  Typical  ekitions  were 
as  follows: 


Fraction 


:  60  ml  petroleum  ether,  contains  HCB  and  mirex 


Fraction    II:  350  ml  petroleum  ether,  contains  PCBs  and  some  DDE 
Fraction  111:  150-ml    mixture    of    1    percent    acetonitrile,    19    percent 
hexane.    and    80    percent    methylene    chloride,    contains 
the  remaining  organochlorine  compounds 

Fractions  I  and  II  were  concentrated  on  a  steam  bath 
to   1-2  ml;  Fraction  III  was  concentrated  on  a  flash 


evaporator  to  1-2  ml.  All  were  diluted  to  10  ml  with 
petroleum  ether.  Quantities  of  4  /il  per  solution  were 
injected  into  a  gas  chromatograph  equipped  with  an 
electron-capture  detector. 

Determinations  were  made  on  a  Hewlett-Packard  Model 
5710A  gas  chromatograph  equipped  with  a  linear  Ni'^^ 
detector  and  automatic  injector,  attached  to  a  Hewlett- 
Packard  Model  3352C  data  acquisition  system.  Instru- 
ment parameters  and  operating  conditions  for  determin- 
ing clilorinated  insecticides  and  PCBs  follow: 


Vol.  12,  No.  4,  March  1979 


195 


Column:  glass,    1219   mm    X    4   mm    ID.    packed    with    a 

mixture  of  1.95  percent  OV-17  and   1.5  percent 
QF-1  on  80-100-mesh  .Supelcoport 

Temperatures,  "C:  column  200 
injector  250 
detector    .100 

Carrier  gas;  a   mixture   of   95    percent    argon    and    5    percent 

methane  flowing  at  ,^3  ml  minute 


Instrument    parameters    and    operating    conditions    for 
determining  chlordane  isomers  were: 


Column:  glass,  1219  mm   X  4  mm  ID.  packed  with  3  per- 

cent OV-1  on  SO-lOO-mesh  Gas-Chrom  Q 

Temperatures,  *C:  column  190 
injector  250 
detector    300 

Carrier  gas:  a    mixture   of   95    percent    argon   and    5    percent 

methane  flowing  at  32  ml/minute 


Residues  in  5  percent  of  the  samples  were  confirmed  by 
mass  spectrometry.  Recoveries  were  74-120  percent; 
analytical  results  were  not  corrected. 

All  residues  are  expressed  as  ppm  wet  weight.  They 
may  be  converted  to  dry  or  lipid  weight  by  dividing  a 
given  wet-weight  value  by  0.30  or  0.05,  the  mean  pro- 
portions of  dry  and  lipid  material  in  the  samples.  Quan- 
tification limit  was  0.01  ppm  for  organochlorine  com- 
pounds.   Trace  residues  were  not  reported. 


Results  and  Discussion 
Residues  of  DDE,  DDT,  dieldrin,  PCBs,  heptachlor 
epoxide,  hexachlorobenzene  (HCB),  and  chlordane 
isomers  in  starlings  collected  in  1976  are  shown  in 
Table  1.  Since  collections  were  made  in  the  fall,  residues 
do  not  necessarily  reflect  year-round  levels.  Also,  find- 
ings should  not  be  interpreted  strictly  on  a  statewide 
basis  because  some  starlings  are  migratory.  However, 
samples  from  certain  localities  consistently  contain  fairly 
high  residues,  suggesting  that  samples  reflect  local  en- 
vironmental contamination.  For  example,  when  results 
from  previous  monitorings  (1-4)  are  compared,  samples 
from  certain  parts  of  Arizona,  Arkansas,  California, 
Louisiana,  and  New  Mexico  usually  contain  higher  DDE 
levels  than  do  those  from  other  states. 

A  summary  of  DDE,  dieldrin,  and  PCB  residues  in 
starlings  from  1970  through  1976  is  shown  in  Table  2. 
The  average  DDE  level  in  1976  was  similar  to  the  1970 
level,  before  the  use  of  technical  DDT  had  been  sus- 
pended. In  fact,  DDE  residues  were  significantly  higher 
nationwide  {P<0.00\ )  in  1976  than  in  1974  (Table  2). 
It  is  difficult  to  explain  why  DDE  residues  have  in- 
creased sharply  since  1974,  when  residues  were  at  their 
lowest  level  in  7  years.    Possibly,  DDT  or  its  related 


FIGURE  I.     Starting  collection  sites,  continental  United  States,  1976 


196 


Pesticides  Monitoring  Journal 


TABLE  2.     Comparison  of  DDE.  dieldriii,  and  PCB  residues  in  starlings,  continental  United  States,  1970-76 


No.  Pools 

Residues,  ppm  wet  weight 

DDE 

DlELDRlN 

PCBs 

Year 

x±SEi 

Range 

Geom.  X 

x±SE 

Range 

Geom.  x 

x±SE 

Range 

Geom.  x 

1970 

125 

0.839  ±0.138 
(125) 

0.037-48.2 

0.355 

0.117  ±0.038 
(125) 

0.005-3.59 

0.036 

0.663  ±0.196 
(125) 

0.09-24.3 

0.358 

1972 

130 

0.788  ±0.124 
(130) 

0.047-14.8 

0.387 

0.098  ±0.018 
(130) 

0.005-1.56 

0.035 

0.425  ±0.153 
(130) 

0.04-19.9 

0.215 

1974 

126 

0.617±0.118 
(126) 

0.007-  9.1 

0.229 

0.057  ±0.011 
(122) 

0.005-1.01 

0.019 

0.112±0.016 
(126) 

0.01-  1.9 

0.068 

1976 

126 

0.827  ±  0.174-' 
(124) 

0.010-12.4 

0.254 

0.059  ±  0.006 
(96) 

0.010-0.28 

0.039 

0.290  ±0.036  = 
(26) 

0.11-  0.85 

0.243 

^Figure  in  parentheses  represents  number  of  pools  having  detectable  residues. 

2  Residues  in  1976  significantly  higher  than  in  1974  (/'<0.001,  Students  i-tesi,  log-transformed  data). 


compounds  may  have  been  used,  especially  in  certain 
geographical  regions  of  the  country. 

Dieldrin  residues  declined  steadily  between  1970  and 
1974,  but  the  average  dieldrin  level  in  1976  was  almost 
identical  to  the  1974  average  (Table  2),  indicating  no 
further  decline  of  dieldrin  during  the  2-year  period. 

PCBs  have  increased  significantly  nationwide  (P<0.001 ) 
since  1974,  although  1976  residues  remained  below 
those  reported  for  1970  and  1972  (Table  2).  Only  26 
samples  contained  PCBs  in  1976  compared  to  126  in 
1974;  although  the  average  PCB  level  was  higher  in 
1976  than  in  1974,  the  number  of  sites  reporting  PCB 
residues  decreased  fivefold  in  1976. 

The  distribution  of  DDE,  dieldrin,  and  PCBs  by  fre- 
quency of  occurrence  at  collection  sites  for  1976  is 
shown  in  Table  3.  In  general,  residues  were  low;  most 
values  were  between  0  and  1.0  ppm  for  the  three  com- 
pounds. Dieldrin  and  PCBs  were  not  detected  in  star- 
lings at  levels  greater  than  1.0  ppm. 

In  addition  to  organochlorine  compounds  in  Table  1, 
certain  other  chemicals  were  detected  in  starlings  less 
frequently.   TDE  occurred  in  six  samples,  ranging  from 


TABLE  3.     Distribution  of  residues  in  starlings  by  frequency 
of  occurrence,  continental  United  States,  1976 


Number  of  Sites  with  Residues 


Range,  ppm 


DDE 


Dieldrin 


PCBs 


ND-  0.01 

3 

43 

99 

>0.01-  0.10 

36 

65 

0 

>0.10-  1.0 

63 

17 

26 

>1.0  -13.0 

23 

0 

0 

NOTE:  ND  =  not  detected. 


0.01  to  0.10  ppm;  mirex  was  found  in  13  samples, 
mostly  from  southeastern  states,  ranging  from  0.01  to 
1.24  ppm;  lindane  was  detected  in  six  samples,  ranging 
from  0.01  to  0.15  ppm;  and  endrin  occurred  in  only 
three  samples,  ranging  from  0.02  to  0.18  ppm. 

Conclusions 
Nationwide,  residues  of  DDE  in  starlings  have  increased 
significantly  since  1974  to  approximately  the  level  re- 
ported in  1970  samples.  Average  PCB  levels  also  in- 
creased, but  the  actual  number  of  samples  containing 
PCB  residues  declined.  Dieldrin  levels  have  remained 
unchanged  since  1974. 

These  data  indicate  that  starlings  can  serve  as  indicators 
of  environmental  contamination  and  thus  provide  in- 
formation on  residue  trends  over  time.  Geographical 
differences  in  residue  levels  also  were  detected. 

A  cknowledgments 
Special  thanks  are  extended  to  the  following  for  their 
help    with    starling    collections:    James    Elder,    Robert 
Hillen,  Arnold  Julin,  Harry  Kennedy,  David  Lenhart, 
and  David  Walsh. 

LITERATURE  CITED 

(/)  Martin,  W.  E.  1969.  Organochlorine  insecticide  resi- 
dues in  starlings.   Pestic.  Monit.  J.  3(2):  102-1 14. 

(2)  Martin.  W.  E.,  and  P.  R.  Nicker.son.  1972.  Organo- 
chlorine residues  in  starlings — 1970.  Pestic.  Monit.  L 
6(l):33-40. 

(i)  Nickerson,  P.  R.,  and  K.  R.  Barbehenn.  1975.  Organo- 
chlorine residues  in  starlings,  1972.  Pestic.  Monit.  J. 
8(4):247-254. 

(4)  White.  D.  H.  1976.  Nationwide  residues  of  organo- 
chlorines  in  starlings,  1974.  Pestic.  Monit.  J.  10(1): 
10-17. 


Vol.  12,  No.  4,  March  1979 


197 


SOILS 


Pesticide  Application  and  Cropping  Data  from  37  States,  1972- 
NationaJ  Soils  Monitoring  Program 

Ann  E.  Carey'  and  Jeanne  A.  Gowen" 


ABSTRACT 

This  report  siininKirizcs  pesticide  application  and  cropping 
data  collected  in  1972  from  1 ,402  agricultural  sampling  sites 
in  37  states  as  part  of  the  National  Soils  Monitoring  Pro- 
gram. Pesticide  application  data  are  summarized  by  all  sites, 
state,  and  crop.  Tables  generally  give  the  number  of  sites  re- 
porting, number  of  times  a  compound  was  applied,  percent 
occurrence,  and  arithmetic  mean  application  rate. 

Pesticides  applied  most  frequently  were  atrazine,  2,4-D, 
captan,  and  trifliiralin.  Among  selected  major  crops,  pesti- 
cides were  most  frequently  applied  to  sites  growing  field  corn 
and  cotton,  least  frequently  to  sites  growing  alfalfa/bur 
clover  and  mi.xed  hay. 

Introduction 

The  increasing  use  of  chemical  pesticides  in  agriculture 
in  the  past  30  years  has  helped  fewer  farmers  feed  more 
people  than  at  any  other  time  in  h'story.  Today,  the 
American  farmer  not  only  feeds  and  clothes  this  Na- 
tion's population,  but  also  contributes  significantly  to  the 
rest  of  the  world.  Yet  the  sensible  use  of  toxic  com- 
pounds also  carries  the  responsibilitv  to  minimize  their 
effects  on  nonlarget  components  of  the  environment. 

In  1963,  the  President's  Science  Advisory  Committee 
recommended  that  appropriate  federal  agencies  "develop 
a  continuing  network  to  monitor  residue  levels  in  air, 
water,  soil,  man.  wildlife  and  fish"  (/).  As  a  result  of  the 
recommendation,  the  National  Pesticide  Monitoring  Pro- 
gram fNPMP)  was  established  to  determine  levels  and 
trends  of  pesticides  and  their  degradation  products  in 
various  components  of  the  environment  (2).  The  federal 
responsibility  for  monitoring  pesticides  was  oflficially 
codified  in  Section  20  of  the  amended  Federal  Insecticide, 
Fungicide  and  Rodenticidc  Act  of  1972  (PI.  92-516). 


'  Ecclogical  Monilorinp  Branch.  Bcncfns  and  Field  .Studies  Division. 
Office  of  Peslicidc  Propr.ams,  U.S.  Environmcnial  Protection  Agency. 
TS-768.  Washington.  DC  2046fl. 

'•'Extension  Agent,  Colorado  Slate  Extension  Service.  Golden.  CO. 


The  National  Soils  Monitoring  Program  (NSMP)  is  an 
integral  part  of  the  NPMP  and  monitors  residues  in 
agricultural  soils  and  raw  agricultural  crops.  It  was 
established  in  1968  by  the  U.S.  Department  of  Agricul- 
ture and  is  administered  by  the  U.S.  Environmental  Pro- 
tection Agency.  The  present  report  summarizes  pesticide 
application  and  cropping  data  collected  during  1972 
(FY-73)  from  1.402  sampling  sites  in  37  states.  Data 
for  composite  soil  and  crop  samples,  collected  from  the 
sites  for  pesticide  residue  analysis,  are  presented  in  a 
separate  report  (.?). 

Sampling 

The  site  selection  criteria  and  statistical  design  of  the 
NSMP  have  been  described  (4).  In  1972.  1.533  sites  in 
37  states  were  scheduled  for  sampling  (Fig,  1 ).  At  each 
4-hectare  (  10-acre)  site,  the  landowner  or  operator  was 
interviewed  concerning  crops  grown  and  the  kinds  and 
amounts  of  pesticides  applied  during  the  1972  growing 
season. 

Results  and  Discussion 

CO.MPOUNDS  APPLIED  TO  CROPLAND 

Cropping  and  pesticide  use  data  were  received  from 
1.402  of  the  scheduled  1,533  sites  or  91  percent.  Of 
these,  742  or  53  percent  of  the  sites  had  one  or  more 
pesticides  applied  during  the  1972  growing  season.  Tables 
summarizing  the  application  data  show  the  number  of 
sites  reporting  a  pesticide  application,  the  percent  of 
sites  reporting  the  pesticide  application,  and  the  average 
rate  of  application,  expressed  in  poimds  per  acre  and 
kilograms  per  hectare. 

Table  I  lists  the  frequency  of  pesticide  use  on  sample 
sites  in  various  states  and  state  groups.  Because  some 
small  eastern  states  had  very  few  sites,  those  with  similar 
geographic  location  and/or  agricultural  characteristics 
were  combined  to  obtain  more  representative  data.  State 
groups  used  were   Mid-Atlantic:    Delaware,   Maryland, 


198 


Pesticides  Monitoring  Journal 


FIGURE  I.    Slates  scheduled  jor  sampling,  1972 — National  Soils  Monitoring  Program 


TABLE   1.     Pesticide  application  data  jrom  1 .402  reporting 
sites  in  37  stales,  1972 — National  Soils  Monitoring  Program 


Pesticides 

No  Pesticides 

No.  OF 

Used 

Used 

Sites 
eporting 

State     R 

No. 

Co 

No. 

% 

Alabama 

20 

9 

45 

11 

55 

Arkansas 

47 

29 

62 

18 

38 

California 

52 

22 

42 

30 

58 

Florida 

15 

7 

47 

8 

53 

Georgia 

27 

13 

48 

14 

52 

Idaho 

30 

15 

50 

15 

50 

Illinois 

139 

94 

68 

45 

32 

Indiana 

74 

45 

61 

29 

39 

Iowa 

149 

106 

71 

43 

29 

Kentucky 

16 

7 

44 

9 

56 

Louisiana 

27 

18 

67 

9 

33 

Michigan 

50 

26 

52 

24 

48 

Mid-Atlanlic' 

18 

10 

56 

8 

44 

Mississippi 

27 

24 

89 

3 

11 

Missouri 

81 

39 

48 

42 

52 

Nebraska 

97 

40 

41 

57 

59 

New  England  1 

11 

1 

9 

10 

91 

New  York 

31 

13 

42 

18 

58 

North  Carolina 

31 

17 

55 

14 

45 

Ohio 

67 

31 

46 

36 

54 

Oklah:>tna 

43 

27 

63 

16 

37 

Oregon 

37 

15 

41 

22 

59 

Pennsylvania 

34 

14 

41 

20 

59 

South  Carolina 

16 

10 

63 

6 

37 

South  Dakota 

106 

45 

42 

61 

58 

Tennessee 

22 

10 

45 

12 

55 

Virginia/West 

Virginia  1 

24 

4 

17 

20 

83 

Washington 

45 

26 

58 

19 

42 

Wisconsin 

66 

25 

38 

41 

62 

TOTAL 

,402 

742 

53 

660 

47 

'Because  some  small  eastern  states  had  very  few  sites,  those  with 
similar  geographic  location  and/or  agricultural  characteristics  were 
combined  to  obtain  more  representative  data.  State  groups  used 
were  Mid-Atlantic:  Delaware.  Maryland,  and  New  Jersey.  New  Eng- 
land: Connecticut,  Maine,  Massachusetts,  New  Hampshire,  Rhode 
Island,  and  Vermont;   and  Virginia  and  West  Virginia, 


and  New  Jersey;  New  England:  Connecticut,  Maine, 
Massachusetts,  New  Hampshire,  Rhode  Island,  and 
Vermont;  and  Virginia  and  West  Virginia,  Among 
individual  states  and  state  groups,  frequency  of  pesti- 
cide use  ranged  from  9  percent  in  the  New  England 
states  to  89  percent  in  Mississippi. 

ALL  SITES 

The  121  compounds  applied  to  all  sites  included  54 
herbicides,  38  insecticides,  20  fungicides,  4  acaricides, 
2  defoliants,  2  soil  fumigants,  and  1  growth  retardant 
(Table  2),  The  most  commonly  applied  compounds 
were  atrazine,  2,4-D,  captan,  and  trifluralin,  which  were 
used  on  14,  10,  8,  and  7  percent  of  the  sites,  respectively. 

BV  STATE 

Table  3  presents  the  application  data  by  state  or  state 
group.  Because  of  the  number  of  states  sampled,  it  is  not 
feasible  to  discuss  in  detail  the  pesticide  data  from  each 
state.  However,  pesticide  application  data  from  each 
state  tended  to  reflect  both  the  crops  grown  and  the 
intensity  of  agricultural  land  use  in  the  state.  For  ex- 
ample, Iowa,  predominantly  a  corn-  and  soybean- 
producing  state,  recorded  the  use  of  17  compounds  on 
149  sites.  California,  a  fruit  and  vegetable  producer, 
recorded  29  compounds  used  on  52  sites. 

In  Figure  2,  the  frequency  of  reported  pesticide  applica- 
tions in  each  state  was  arbitrarily  classified  as  follows: 
low,  less  than  25  percent  of  the  sites  reported  pesticide 
application;  medium,  25-59  percent  reported  applica- 


VoL.  12,  No.  4,  March  1979 


199 


TABLE  2.    Siininitiry  of  compounds  applied  to  1,402  cropland  sites  in  37  stales,  1972- 
National  Soils  Monitoring  Program 


Sites 

Reporting 

Average  Total 

Sites 

Reporting 

Average  Total 

Trade 

Application 

Application 

Trade 

Appltcation 

Application 

Name         - 

Name 

Compound 

IF  Noted 

No 

% 

Lb/ Acre 

Ko/Ha 

Compound 

If  Noted 

No 

% 

Lb/ Acre 

Kg/Ha 

Alachlor 

Lasso 

86 

6.1 

1.38 

1.55 

Fluomeluron 

Coloran 

23 

1.6 

0.93 

1.04 

Aldicarb 

Temik 

2 

0.1 

0.40 

0.45 

Folex 

5 

0.4 

1.10 

1.23 

Aldnn 

33 

2.4 

1.57 

1.76 

Hepiachlor 

5 

0.4 

1.26 

1.41 

Amitrole 

1 

0.1 

0.15 

0.17 

Hexachloro- 

Ancrack 

4 

0.3 

1.08 

1.20 

benzene 

No-Bunt 

U 

0.8 

0.04 

0.04 

Atrazine 

AAlrex 

2(K) 

14.3 

1.56 

1.75 

Lead  arsenate 

1 

0.1 

4,00 

4.48 

Azinphosmclhyl 

Gi'lhion 

4 

0.3 

1.23 

1.37 

Lindane 

1 

0.1 

0.01 

0.01 

Bcncfin 

Balan 

6 

0.4 

0.83 

0.93 

Linuron 

Lorox 

39 

2.8 

111 

1.24 

Benoniyl 

Beiilate 

3 

11. 1 

2.58 

2.90 

Malathion 

83 

5.9 

0.04 

0.04 

Benzene 

Malcic  hydrazide 

MH 

5 

0,4 

2.25 

2.52 

hexachloride 

2 

0.1 

1.25 

1,40 

Maneb 

3 

0.2 

0.70 

0.78 

Bromacil 

Hyvar 

2 

0.1 

0.42 

0.47 

MCPA 

MCP 

5 

0.4 

1.40 

1.56 

Bromoxvnil 

1 

0.1 

1.25 

1.40 

MCPB 

5 

0.4 

0.85 

0.95 

Butylale 

Sutan 

17 

1.2 

1.68 

1.89 

Mercury 

10 

0.7 

0.04 

0.04 

Bux 

25 

1.8 

0.88 

0.98 

Melhomyl 

Lannale 

1 

0.1 

0.34 

0.38 

Captafol 

Difolatan 

3 

0.1 

3.83 

4.29 

Methoxythlor 

11 

0.7 

0.19 

0.21 

Caplan 

106 

7.6 

0.19 

0.22 

MelhyliTierciiry 

Carbaryl 

Sevin 

23 

1.6 

2.49 

2.79 

aceiate 

Ceresan  L 

7 

0.5 

0.01 

0.01 

Carbofuran 

Furadan 

17 

1.2 

1.07 

1.19 

Meihylmercury 

Carbophenoihion 

Triihion 

3 

0.2 

0.78 

0.87 

dicyandiamide 

Panogen 

3 

0.2 

0.01 

0.01 

Chloramben 

Amiben 

51 

3.6 

1.38 

1.55 

Methyl  trithion 

1 

0.1 

0.25 

0.28 

Chlorobcnzilate 

Acaraben 

4 

0.3 

3.45 

3.87 

Metnbuzin 

Senear 

1 

0.1 

0.50 

0.56 

Chlordane 

5 

0.4 

3.18 

3.57 

Mevinphos 

Phosdrin 

1 

0,1 

0.25 

0.28 

Chloroneb 

Demosan 

8 

0.6 

0.02 

0.02 

Ml  rex 

7 

0.5 

0.01 

0.01 

Chloropropham 

Chloro-IPC 

1 

0.1 

0.59 

0.66 

Molinate 

O.dram 

2 

0.1 

3.00 

3.36 

Chloropropylate 

Acarolaie 

1 

0.1 

3.50 

3.92 

Monocrolophos 

Azodri.n 

3 

0.2 

1.67 

1.87 

Chloroxuron 

Tenoran 

1 

0.1 

2.00 

2.24 

MSMA 

2i 

1.5 

2..36 

2.65 

Copper  carbonate 

Naled 

Dibrom 

1 

0.1 

1.00 

1.12 

(basic) 

1 

0.1 

3.50 

3.92 

Napialam 

Alanap 

8 

0.6 

1.35 

1.52 

Cyanazine 

Bladex 

2 

0.1 

2.15 

2.41 

Nilralin 

Planavin 

9 

0.6 

1.16 

1.30 

Cycloale 

Ro-Neel 

3 

0.2 

1.95 

2.19 

Norea 

Herban 

3 

0.2 

1.57 

1.76 

2,4-D 

136 

9.7 

0.69 

0.77 

Oil  spray 

2 

0.1 

55.00 

61.64 

Dalapon 

Dowpon 

2 

0.1 

7.80 

8.74 

Oxyihioquinox 

Mores:an 

1 

0.1 

0,08 

0.09 

2.4-DB 

Buiyrac 

7 

0.5 

0.91 

1.02 

Paraqual 

7 

0.5 

0.43 

0.48 

DDT 

21 

1.5 

5.83 

6.53 

Paralhion,  elhyi 

17 

1.1 

2.29 

2.57 

DEF 

6 

0.4 

0.99 

1,11 

Paralhion,  nielhyl 

40 

2.9 

2.99 

3.35 

Diazinon 

8 

0.6 

0.52 

0,59 

PCNB 

7 

0.5 

0.02 

0.02 

Dibromochloro- 

Pebulaie 

Tillam 

1 

0.1 

4.00 

4.48 

propane 

Nemagon 

1 

0.1 

0.50 

0.56 

Penlachloro- 

Dicamba 

Banvel  D 

12 

0.9 

0.34 

0.38 

phenol 

PCP 

1 

0.1 

0.05 

0.06 

Dichlone 

Phygon 

1 

0.1 

0.50 

0.56 

Phenylmercury 

Dichloropropene 

Telone 

1 

0.1 

60.00 

67.25 

aceiate 

PMA 

4 

0.3 

0.02 

0.02 

Dichlorprop 

2.4-DP 

1 

0.1 

2.00 

2.24 

Phorale 

Thimet 

26 

1.9 

1.79 

2.01 

Dicofol 

Kelihane 

2 

0.1 

0.75 

0.84 

Picloram 

Borolin 

1 

0.1 

0.75 

0.84 

Dicroiophos 

Bidrin 

T 

0.1 

0.08 

0.09 

Polyram 

1 

0.1 

1,00 

1.12 

Dimethoate 

Cygon 

6 

0.4 

0.58 

0.65 

Prolate 

Imidan 

3 

0.2 

3,92 

4.39 

DNBP 

Premerge 

16 

1.1 

1.24 

1.39 

Prometryn 

Caparol 

4 

0.3 

0,87 

0.98 

Diniirocresol 

2 

0  1 

1,63 

1,82 

Propachlor 

Ramrod 

40 

2.9 

1.93 

2.16 

Diphenamid 

Enide 

1 

0.1 

1 .00 

1,12 

Propanil 

St  am 

2 

0  1 

3  50 

3.92 

DisuUoton 

Di-Syston 

13 

0.9 

0.38 

0.43 

Propargite 

Omilc 

2 

0.1 

1,59 

1.78 

Diuron 

Karmex 

11 

0.8 

0.71 

0.80 

Propham 

IPC 

2 

0.1 

1,75 

1.96 

Dodine 

Cyprex 

1 

0.1 

0.98 

1.09 

Pyrazon 

Pyramin 

1 

0.1 

0.94 

1.05 

DSMA 

8 

0.6 

2.51 

2.81 

Simazine 

Pnncep 

5 

0.4 

2.82 

3.16 

Dyfonate 

3 

0.2 

0.97 

1.08 

Sodium  chlorate 

2 

0.1 

1 .00 

1.12 

EMTS 

Ceresan  M 

t) 

0.6 

0.01 

0.01 

Sulfur 

10 

0.7 

27.85 

3J.21 

EPN 

1 

0.1 

3.00 

3.36 

TCA 

2 

0.1 

5.63 

6.30 

EPTC 
Ethion 

Ep:am 

HI 
3 

0.7 
0.2 

2.19 
3,35 

2.45 
3.75 

TCBC 

1 

0.1 

8.00 

8.97 

Ethoprop 

Mocap 

1 

0.1 

1.00 

1.12 

TEPP 

1 

0.1 

0.25 

0.28 

Hihylmercury 

Terbacil 

Sinbar 

t 

0.1 

1.75 

1.96 

chloride 

Ceresan  Red 

5 

0.4 

0.01 

0,01 

Ihiram 

14 

0.9 

0.03 

0.03 

Fenac 

1 

0.1 

1.25 

1,40 

Toxaphene 

30 

2.1 

9,36 

10.49 

Fenaminosulf 

D^xon 

1 

0.1 

0.01 

0,01 

Ti  ielazine 

1 

0.1 

0.25 

0.28 

Fensulfothion 

Dasanit 

4 

0.3 

2.79 

3,13 

Trifluralin 

Trellan 

97 

6.9 

0,86 

0.96 

Fentin  hydroxide 

2 

0.1 

8.75 

9,81 

Vernolate 

Vernam 

6 

0.4 

1,20 

1.35 

200 


Pf.sticides  Monitoring  Journal 


TABLE  3.    Compounds  applied  to  cropland  sites  by  state,  1972 — National  Soils  Monitoring  Program 


Sites  Reporting 

Average 

Total 

Sites  Reportino 

Average  Total 

Trade 

APPLICATION 

Application 

Trade 

Application 

Application 

Name 
IF  Noted 

Compound 

Name         

Compound 

No. 

% 

Lb/Acre 

Kg/Ha 

IF  Noted 

No. 

% 

Lb/ Acre 

Kg/Ha 

ALABAMA,  20 

SITES 

FLORIDA.  15 

SITES 

Atrazine 
Azinphosmethyl 
Carbophenoihion 
Chlorobenzilate 
Copper  carbonate 

(basic) 
Ethion 

AAirex 
Guthion 
Triihion 
AcaruJen 

Ethodan 

1 
1 
1 
4 

1 
3 

6.7 
6.7 
6.7 

26.7 

6.7 
20.0 

2.00 
2.00 
1.50 
3.45 

3.50 
3.35 

2.24 
2.24 
1.68 
3.87 

3.92 
3.76 

Atrazine 

Benefin 

Benomyl 

Captan 

Disulfoton 

2,4-D 

AAtrex 

Balan 

Benlale 

Di-Syston 

5.0 
15.0 
10.0 
5.0 
5.0 
5.0 

1.00 
0.75 
3.50 
0.01 
1.00 
1.00 
1.00 
1.00 
2.00 

1.12 
0.84 
3.92 
0.01 
1.12 
1.12 
1.12 
1.12 
2.24 

DNBP 

Linuron 
Naptalam 

Premerge 

Lorox 

Alanap 

5.0 
5.0 
5.0 

Fensulfolhion 
Oil  spray 
Sulfur 

Dasanit 

1 

2 
4 

6.7 
13.3 
26.7 

7.50 
55.00 
36.88 

8.41 
61.64 
41.33 

Parathion,  methyl 

Trellan 

5.0 
10.0 
10.0 

13.00 
8.50 
2.00 

14.57 
9.53 
2.24 

Toxaphene 
Trifluralin 

GEORGIA,  27 

SITES 

Vernolale 

Vernam 

15.0 

0.75 

0.84 

Alachlor 

Lasso 

3.7 

2.50 

2.80 

Alrazine 
Benefin 
Captan 
Carbaryl 

AAtrex 
Balan 

Sevin 

3.7 
3.7 
3.7 
18.5 

4.00 
1.13 
O.OI 
2.40 

4.48 

ARKANSAS.  47 

SITES 

1.27 
0.01 

Alachlor 

Lasso 

2 

4.3 

3.25 

3.64 

2.69 

Ancrack 

1 

2.1 

0.50 

0.56 

DDT 

3.7 

4.50 

5.04 

Captan 

3 

6.4 

0.01 

0.01 

Captafol 

D;folatan 

3.7 

10.00 

11.21 

Chloroxuron 

Tenoran 

1 

2.1 

2.00 

2.24 

Disulfoton 

Di-Syslon 

3.7 

1.00 

1.12 

DEF 

1 

2.1 

0.50 

0.56 

Fentin  hydroxide 

Du-Ter 

7.4 

8.75 

9.81 

DDT 

5 

10.6 

3.90 

4.37 

Mirex 

7.4 

0.01 

0.01 

Dicrotophos 

Bidrin 

2 

4.3 

0.08 

0.09 

Maleic  hydrazide 

MH-30 

3.7 

6.00 

6.72 

Disulfoton 

Di-Syston 

1 

2.1 

O.OI 

0.01 

Parathion.  ethyl 

7.4 

2.75 

3.08 

Diuron 

Karmex 

2 

4.3 

1.25 

1.40 

Parathion.  methyl 

3.7 

4.50 

5.04 

DNBP 

Pre.merge 

4 

8.5 

0.94 

1.05 

Sulfur 

3.7 

34.00 

38.11 

DSIVIA 

2 

4.3 

2.50 

2.80 

Toxaphene 

2 

7.4 

5.25 

5.88 

2.4-DB 

Butyrac 

4 

8.5 

0.88 

0.98 

Trifluralin 

Treflan 

1 

3.7 

1.00 

1.12 

EMTS 

Ceresan  M 

-> 
1 
7 
1 

4.3 

2.1 

14.9 

2.1 

0.01 
3.00 
0.96 
1.50 

O.OI 
3.36 
1.08 
1.68 

EPN 

Fluometuron 

Folex 

IDAHO,  30 

SITES 

Cotoran 

Atrazine 

AAirex 

2 

6.7 

0.75 

0.84 

Linuron 

Loiox 

-) 

4.3 

0.50 

0.56 

Bromoxynil 

1 

3.3 

1.25 

1.40 

Mercury 

7 

14.9 

0.05 

0.05 

2,4-D 

7 

23.3 

1.21 

1.36 

Metribuzin 

Sencor 

1 

2.1 

0.50 

0.56 

DDT 

1 

3.3 

1.00 

1.12 

MSMA 

9 

19.1 

1.94 

2.18 

EMTS 

Ceresan  M 

2 

6.7 

0.01 

0.01 

Naptalam 

Alanap 

3 

6.4 

0.83 

0.93 

EPTC 

Ep;am 

1 

3.3 

0.25 

0.28 

Nitralin 

Planavm 

2 

4.3 

1.00 

1.12 

MCPB 

1 

3.3 

2.00 

2.24 

Paraquat 

1 

2.1 

0.02 

0.02 

Sulfur 

I 

3.3 

20.00 

22.42 

Parathion.  ethyl 

1 

2.1 

3.00 

3.36 

Trifluralin 

Treflan 

2 

6.7 

0.25 

0.28 

Parathion.  methyl 
Prometryn 

9 
3 

8 

19.1 
6.4 
4.3 

17.0 

2.69 
1.08 
0.12 
4.84 

3.02 
1.21 
0.13 
5.43 

Caparul 
Sii.Tiusoy 

ILLINOIS,   139 

SITES 

Thiram 
Toxaphene 

Alachlor 
Aldrin 

Lasso 

10 
6 

7.2 
4.3 

1.24 
1.10 

1.38 
1.23 

Trifluralin 

Treflan 

12 

25.5 

0.77 

0.86 

Atrazine 

AAtrex 

23 

16.5 

1.33 

1.49 

Bulylaie 
Bux 

Sutan 

9 

T 

45 
3 

6.5 

1.4 

32.4 

T  2 

0.94 
1.30 
0.01 
0.75 

1.06 

CALIFORNIA.  5 

2  SITES 

1.46 
0.01 
0.84 

Alachlor 

Lasso 

1.9 

0.50 

0.56 

Captan 
Carbofuran 

Furadan 

Carbophenothion 

Tri.hion 

1.9 

0.09 

0.10 

Chloramben 

Amiben 

20 

14.4 

1.25 

1.40 

Chloroneb 

Demosan 

1.9 

0.01 

0.01 

Chlordane 

3 

■)  2 

0.97 

1.09 

2.4-D 

3.8 

0.50 

0.56 

2.4-D 

14 

10.1 

0.43 

0.49 

DNBP 

Premerge 

1.9 

0.50 

0.56 

2.4-DB 

Buiyrac 

1 

0.7 

0.50 

0.56 

Dibiomochloro- 

Diazinon 

-) 

1.4 

2.01 

2.25 

propane 

Nemagon 

1.9 

0.50 

0.56 

Dicamba 

Eanvel-D 

2 

1.4 

0.17 

0.18 

Dicofol 

Kel  thane 

3.8 

0.75 

0.84 

Dvfonate 

1 

0.7 

0.50 

0.56 

Disulfoton 

Di-Syston 

1.9 

1.00 

1.12 

EPTC 

Ep:am 

1 

0.7 

0.42 

0.47 

EPTC 

Eptam 

1.9 

3.00 

3.36 

E-hyimercury 

Fenaminosulf 

Dexon 

1.9 

0.01 

0.01 

chloride 

Ceresan  Red 

1 

0.7 

0.01 

0.01 

Malathion 

1.9 

1.00 

1.12 

Heplachlor 

2 

1.4 

1.65 

1.85 

MCPA 

MCP 

3.8 

2.00 

2.24 

Lindane 

1 

0.7 

0.01 

0.01 

jVlethornyl 

Lannale 

1.9 

0.34 

0.38 

Linuron 

Lorox 

T 

1.4 

1.25 

1.40 

Mevinphos 

Phosdrin 

1.9 

0.25 

0.28 

Malathion 

44 

31.6 

O.OI 

0.01 

Molinate 

Oidram 

3.8 

3.00 

3.36 

Meihoxychlor 

5 

3.6 

0.01 

0.01 

Naled 

Dibrom 

1.9 

1.00 

1.12 

Nitralin 

Planavin 

1 

0.7 

2.80 

3.14 

Nitralin 

Planavin 

1.9 

0.75 

0.84 

Phorate 

Thimet 

3 

->  2 

0.80 

0.90 

Paraquat 

3.8 

0.63 

0.70 

Propachlor 

Ra.xrod 

15 

10.8 

1.71 

1.92 

Parathion.  ethyl 

9.6 

0.76 

0.85 

TCBC 

Randox-T 

1 

0.7 

8.00 

8.97 

Parathion,  methyl 

3.8 

0.36 

0.40 

Simazine 

Princep 

1 

0.7 

3.00 

3.36 

Phorate 

Thimet 

3.8 

1.00 

1.12 

Trietazine 

Gesafloc 

1 

0.7 

0.25 

0.28 

Prolate 

Imidan 

1.9 

0.75 

0.84 

Toxaphene 

1 

0.7 

0.40 

0.45 

Propanil 

Slam 
bmite 

1.9 

4.00 

4.48 

Trifluralin 

Treflan 

12 

8.6 

0.73 

0.82 

Propargite 

1.9 

1.68 

1.88 

Vernolale 

Vernam 

1 

0.7 

0.45 

0.50 

Simazine 

Princep 

3.8 
3.8 
1.9 
1.9 

2.75 
0.80 
0.25 
3.00 

3.08 
0.90 
0.28 
3.36 

Sulfur 

INDIANA,  74 

SITES 

TEPP 
Toxaphene 

Alachlor 

Lasso 

15 

20.3 

1.86 

2.08 

Trifluralin 

Treflan 

- 

3.8 

0.38 

0.42 

Aldnn 

7 

9.5 

1.33 

1.49 

{Continued  next  page) 

Vol.  12,  No.  4,  March  1979 


201 


TABLE  3  (cont'd.).    Compounds  applied  to  cropland  sites  by  stale,  1972 — National  Soils  Monitoring  Program 


Sites  Reporting 

Average  Total 

Sites  Reporting 

Average  Total 

Trade 

Application 

Application 

Trade 

Application 

Application 

Name 

IF  NolED 

Compound 

Name 
IF  Noted 

Compound 

No. 

% 

Lb/Acre 

Kg/Ha 

No. 

% 

Lb/Acre 

Kg/Ha 

Atrazine 

AAtrex 

20 

27.0 

1.83 

2.05 

Linuron 

Lorox 

3 

6.0 

1.67 

1.87 

Capian 

6 

8.1 

0.01 

0.01 

Malaihion 

10 

20.0 

0.01 

0.01 

Chloramben 

Amiben 

5 

6,8 

1.20 

1.35 

Pyrazon 

Pyramin 

1 

2.0 

0.94 

1.05 

2.4-D 

4 

5.4 

0.50 

0.56 

TCA 

1 

2.0 

0.25 

0.28 

EPTC 

Eplam 

1 

1.4 

10.00 

11.21 

Trifiuralin 

Treflan 

1 

2.0 

1.00 

1.12 

Ltnuron 

Lorox 
Treflan 

8 
6 

10.8 
8.1 
4.1 

1.38 
0.01 
1.00 

1.55 
0.01 
1.12 

Malathion 
Trifliiralin 

MID-ATLANTIC  STATES,>  18 

SITES 

Alachlor 

Lasso 

5 

27.8 

2.06 

2.31 

IOWA.  149 

SITES 

Atrazine 

AAtrex 

2 

11.1 

1.75 

1.96 

Azinphosmethyl 

Guihion 

1 

5.6 

0.90 

1.01 

Alachlor 

Lasso 

10 

6.7 

0.86 

0.97 

Captan 

4 

22.2 

0.01 

0,01 

Aldrin 

8 

5.4 

1,20 

1,35 

Carbaryl 

Se%in 

2 

11.1 

1.92 

2.15 

Airazine 

AAtrex 

38 

25.5 

1,38 

1,55 

Chlordane 

5.6 

5.00 

5.60 

Butylate 

Suian 

6 

4.0 

2,75 

3.08 

2.4-D 

5,6 

0.50 

0.56 

Bux 

13 

8.7 

0,90 

1.01 

Dichlone 

Phygon 

5,6 

0.50 

0.56 

Carbofuran 

Furadan 

4 

2.7 

0.98 

1,09 

Dieldrin 

11,1 

0.26 

0.29 

Chloropropham 

Chloro-lPC 

1 

U.7 

0.59 

0.66 

Dimethoate 

Cygon 

5,6 

0.66 

0.74 

Chloramben 

Ami:en 

16 

1(1,7 

0.96 

1.08 

5,6 

3.00 

3.36 

2.4-D 

iS 

12.1 

0,51 

0.57 

Linuron 

Lorox 

5,5 

0.38 

0.43 

Diazinon 

1 

0,7 

0,07 

0.08 

Maneb 

5,6 

1.44 

1.61 

Dicamba 

B.mvel  D 

6 

4.0 

0,25 

0.28 

Ma'aihion 

11,1 

0.01 

0.01 

Dyfonale 

1 

0.7 

1.40 

1.57 

Parathion.  ethvl 

5,6 

1.30 

1,46 

Ethoprop 

Mocap 

1 

0.7 

1 .00 

1.12 

Prolate 

imidan 

5,6 

2.00 

2,24 

Hepiachlor 

1 

0.7 

1.00 

1.12 

Sulfur 

5,6 

37.00 

41.47 

Phoraic 

Ihimel 

8 

5.4 

1.06 

1,19 

Thiram 

.Arasan 

5,6 

0.01 

0.01 

Propachlor 

Ramrod 

14 

9.4 

1.74 

1.95 

Trifiuralin 

Treflan 

5.6 

1.20 

1.35 

Trifiuralin 

Treflan 

22 

14.8 

0.80 

0.89 

KENTUCKY.  16  SITES 


MISSISSIPPI,  27  SITES 


Atrazine 
Carbaryl 
2,4-D 

Linuron 
Malathion 
Methoxychlor 
Trifiuralin 


AAirex 
Sevin 


Lorox 


Treflan 


31.3 
12.5 
6.3 
6.3 
6,3 
6.3 
6.3 


1.00 
1.50 
1.00 
0.75 
1.00 
2.00 
1,00 


1.12 
1.68 
1.12 
0.84 
1.12 
2.24 
1.12 


LOUISIANA.  27  SITES 


Alachlor 

Aldrin 

Azinphosmethyl 

Chloramben 

2.4-D 

2.4-DB 

DCPA 

DDT 

DSMA 

Dalapon 

DEF 

Dichlorprop 

Diphenamid 

Diuron 

DNBP 

EMTS 

Fcnac 

Ruomcturon 

Folex 

MSMA 

Norea 

Parathion.  meihyl 

Propanil 

TCA 

Terbacil 

Thiram 

Toxaphenc 

Trifiuralin 

Vernolale 


Lasso 

Guthion 
Amiben 

Butyrac 
Dacihal 


Dowpon 

2.4-DP 
Enide 
Karmex 
Premcrge 
Ceresan  M 

Coioran 

Ansar 
He.fcan 

S.am 

Sinbar 


Ircflan 
Vernam 


3.7 
3.7 
3.7 
3.7 

11.1 
3.7 
3.7 

18.5 

14.8 
3.7 
3.7 
3.7 
3.7 

11,1 
7,4 
3,7 
3,7 

14,8 
3,7 

11,1 
3.7 

29.6 
3.7 
3.7 

3.7 
3,7 

18,5 
29,6 

3,7 


1.00 
0.01 
1.50 
1,50 
1,12 
2,00 
0.75 
11,30 
3,15 
2,l» 
1,50 
2,00 
1,00 
1,25 
1,25 
0.01 
1.25 
1,03 
1,(KI 
2,50 
0,60 
3,66 
3,00 
1 1 ,00 
2,00 
0,01 
23,40 
1,41 
2,50 


1,12 
0,01 
1,68 
1,68 
1.25 
2.24 
0,84 
12,67 
3.53 
2.24 
1.68 
2.24 
1.12 
1.40 
1.40 
0.01 
1.40 
1.15 
1.12 
2.80 
0.67 
4.10 
3.36 
12.33 
2.24 
0.01 
26.23 
1.58 
2.80 


Alachlor 

Aldicarb 

Ancrack 

Azinophosmethyl 

Captan 

Carbaryl 

Chloroneb 

2,4-DB 

DDT 

DEF 

DSMA 

DNBP 

Disulfolon 

Diuron 

Fluometuron 

Folex 

Linuron 

MSMA 

Methylmercury 

acetate 
Mirex 

Monocrotophos 
Naptalam 
Nitralin 
Norea 

Parathion.  methyl 
Sodium  chlorate 
Toxaphene 
Trifiuralin 


Lasso 
Temik 

Guthion 

Sex  in 

Demcsan 

Butyrac 


Premerge 
Di-Syston 
Karmex 
Cotoran 

Lorox 


Ceresan  L 

Azodrin 
Alanap 
Planavin 
Herban 


Treflan 


4 
3 
1 
3 
1 
10 
2 

8 
10 


3.7 

7.4 

11.1 

3.7 

3.7 

3.7 

25,9 

3,7 

25,9 

14,8 

7.4 

25,9 

18,5 

7,4 

25,9 

7,4 

11,1 

25.9 

22,2 
14,8 
11,1 

3,7 
11.1 

3.7 
37.0 

7.4 
29.6 
37.0 


2.00 
0,40 
1.27 
0.50 
0.03 
1,00 
0,03 
0,40 
5,71 
0,98 
1,24 
1,70 
0,01 
0.30 
0.70 
0.75 
1.83 
2.75 

0.01 
0.01 
1.67 
3.00 
1.33 
1.60 
4.38 
1.00 
10.25 
0.85 


MISSOURI,  81  SITES 


MICHIGAN.  50  SITES 


Alachlor 

Aldrin 

Atrazine 

Capian 

2,4-D 

Dicamba 

EPTC 


Lasso 


AAIrex 


Banvcl  D 
Eptam 


1 
1 
15 
10 
6 
1 
2 


2.0 
2.0 
.30.0 
20.0 
12(1 
2.0 
4.0 


0.50 
1.40 
2.09 
0.01 
1.29 
1.00 
2.00 


0.56 
1.57 
2.35 
0.01 
1.45 
1.12 
2.24 


Alachlor 

Atrazine 

Aldrin 

Chloramben 

2.4-D 

Diuron 

Fluometuron 

L  inuron 

MSMA 

Norea 

Trifiuralin 


Lasso 

AAtrex 

Amiben 

Karmex 
Cott)ran 
Lorox 

Herban 
Treflan 


II 

13 
3 

T 

3 
1 
3 
6 
1 
I 
11 


13.6 
16.0 
3.7 
2.5 

3,7 
1,2 
3,7 
7.4 
1.2 
1.2 
13.5 


1.42 
1.67 
1.67 
3.01 
0.42 
0,25 
1,31 
0,87 
3.40 
2.50 
0.73 


NEBRASKA.  97  SITES 


Alachlor 
Atrazine 
Bux 
Carbofuran 


Lasso 
AAtrex 


Furadan 


4 
1« 
7 
5 


4.1 
18.6 
7.2 
5.2 


1.11 
1.40 
0.73 
0.69 


(Continued  next  page) 
202 


2.24 
0.45 
1,42 
0,56 
0.03 
1.12 
0.03 
0.45 
6.40 
1.10 
1.39 
1.91 
0.01 
0.34 
0.78 
0.84 
2.05 
3.08 

0.01 
0.01 
1.87 
3.36 
1.49 
1.79 
4.90 
1.12 
11.49 
0.95 


1.59 
1.87 
1.87 
3.37 
0.47 
0.28 
1.46 
0.97 
3.81 
2.80 
0.82 


1.25 
1.57 
0.82 
0.78 


Pesticides  Monitoring  Journal 


TABLE  3  (cont'd.).    Compounds  applied  to  cropland  sites  by  state,  1972 — National  Soils  Monitoring  Program 


Compound 


Trade 

Name 
IF  Noted 


Sites  Reporting 
Application 


Average  Total 
Application 


Lb/Acre       Ko/Ha 


Chloramben 

Cyanazine 

Cycloaie 

2,4-D 

Diazinon 

Dyfonale 

EPTC 

Fensulfothion 

Linuron 

Parathion,  ethyl 

Propachlor 

Phorate 

Simazine 


Amiben 

Bladex 

Ro-Necl 


Epiam 

Dasanit 

Lorox 

Ramrod 

Thimet 

Princep 


1.0 
1.0 
1.0 
8.2 
1.0 
1.0 
1.0 
1.0 
2.1 
2.1 
5.2 
3.1 
I.O 


1.50 
2.80 
0.40 
0.61 
0.98 
1. 00 
1.75 
0.90 
0.94 
0.65 
2.13 
0.88 
4.00 


1.68 
3.14 
0.45 
0.68 
1.10 
1.12 
1.96 
1.01 
1.05 
0.73 
2.39 
0.99 
4.48 


NEW  ENGLAND,!   11   SITES 


Captan 

Carbophenothion 

Chloropropylate 

Dodine 

Prolate 

Propargite 


Trilhion 

Acarolate 

Cyprex 

Omite 


9.1 
9.1 
9.1 
9.1 
9.1 
9.1 


19.20 
0.75 
3.50 
0.98 
0.38 
9.00 


NEW  YORK.  31  SITES 


Alachlor 

Airazine 

Benomyl 

Bux 

Captan 

Carbaryl 

Carbofuran 

2.4-D 

Diazinon 

Dinitrocresol 

DNBP 

EPTC 

Methoxychlor 

Parathion,  ethyl 

Thiram 


Lasso 

AAtiex 
Benlate 


Sevin 
Furadan 


Premerge 
Ep:am 


10 
1 
1 
3 

2 

1 
1 

"> 

1 

I 

1 
4 

I 
4 


7.1 

32.3 
3.6 
3.6 

10.7 
7.1 
3.6 
3.6 
7.1 
3.6 
3.6 
3.6 

12.9 
3.6 

12.9 


0.88 
2.03 
0.75 
0.70 
0.01 
4.25 
1.00 
0.25 
0.51 
0.25 
0.21 
0.25 
0.01 
0.33 
0.01 


NORTH  CAROLINA,  31  SITES 


Alachlor 

Atrazine 

Carbaryl 

2,4-D 

Dichloropropene 

Fensulfothion 

Lead  arsenate 

Linuron 

Maleic  hydrazide 

Maneb 

Naptalam 

Nitralin 

Parathion.  ethyl 

Paraquat 

Pebulaie 

Phorate 

Penlachlorophenol 

Toxaphene 

Trifluralin 


Lasso 

AAtrex 

Sevin 

Telone 
Dasanit 


Alanap 
Planavjn 


Tillam 
Thimet 
PCP 

Treflan 


9.7 
12.9 
12.9 
3.2 
3.2 
3.2 
3.2 
3,2 
12.9 
3.2 
6.5 
3.2 
6.5 
6.5 
3.2 
3.2 
3.2 
3.2 
3.2 


1.00 
1.63 
3.38 
1.00 

60.00 
2.00 
4,00 
1.50 
1.31 
0.41 
0.92 
0.50 

10.50 
0.38 
4.00 
0.50 
0.05 

10.00 
0.80 


OHIO,  67  SITES 


Alachlor 

Lasso 

4 

6.0 

Aldrin 

6 

9.0 

Atrazine 

AAtrex 

13 

19.4 

Butylate 

Sutan 

1 

1.5 

Bux 

1 

1.5 

Captan 

1 

1.5 

Carbofuran 

Furadan 

1 

1.5 

Chloramben 

Amiben 

5 

7.5 

2,4-D 

5 

7.5 

Dicamba 

Banvel  D 

2 

3.0 

Linuron 

Lorox 

5 

7.5 

Melhylmercury 

acetate 

Ceresan  L 

1 

1.5 

Picloram 

Borolin 

1 

1.5 

Propachlor 

Ramrod 

1 

1.5 

1.14 
3.33 
1.89 
2.00 
0.80 
0.0 1 
1.00 
2.60 
1.00 
1.00 
0.92 

0.01 
0.75 
8.00 


21.52 
0.84 
3.92 
1.10 
0.43 

10.09 


0.98 

2.27 
0.84 
0.78 
0.01 
4.76 
1.12 
0.28 
0.57 
0.28 
0.24 
0.28 
0.01 
0.37 
0.01 


1.12 
1.82 
3.78 
1.12 

67.25 
2.24 
4.48 
1.68 
1.47 
0.46 
1.03 
0.56 

11.77 
0.42 
4.48 
0.56 
0.06 

11.21 
0.90 


1.27 
3.74 
2.12 
2.24 
0.90 
0.01 
1.12 
2.91 
1.12 
1.12 
1.03 

0.01 
0.84 
8.97 


Compound 


Trade 

Name 

IF  Noted 


Sites  Reporting 
Application 


No. 


Average  Total 
Application 

Lb/Acre      Kc/Ha 


OKLAHOMA,  43  SITES 


Alachlor 

Benefin 

Captan 

Carbaryl 

2,4-D 

EMTS 

Ethylmercury 

chloride 
MCPB 

Parathion,  methyl 
PCNB 
Polyram 
Thiram 
Trifluralin 


Lasso 
Baian 


Sevin 


Ceresan  Red 


Arasan 
Treflan 


4.7 
2.3 
4.7 
7.0 
9.3 
9.3 

2.3 

4.7 
1S.6 
14.0 

2.3 
11.6 

2.3 


2.00 

2.24 

1.00 

1.12 

0.01 

O.OI 

2.17 

2.43 

0.50 

0.56 

0.01 

O.OI 

0.01 

O.OI 

0.50 

0.56 

0.50 

0.56 

0.02 

0.02 

1.00 

1.12 

O.OI 

0.01 

0.50 

0.56 

OREGON,  37  SITES 


Amitrole 

Bromacil 

Captan 

Cvcloate 

2,4-D 

Diazinon 

Diuron 

Ethylmercury 

chloride 
Hexachloro- 

benzene 
Malathion 
Maneb 
Melhylmercury 

dicyandiamide 
Parathion.  ethyl 
Phenylmercury 

acetate 
Propham 


Ro-Neet 


Karmex 


Ceresan  Red 


Pancgen 


PMA 
IPC 


11 
1 


2.7 
2.7 
5.4 
2.7 
29.7 
2.7 
2.7 

5.4 

5,4 

2.7 
2.7 

2.7 
2.7 

5.4 

2.7 


0.15 
0.09 
0.01 
5.20 
0.72 
0.10 
0.10 

0.01 

0.04 
0.50 
0.25 

0.01 
0,09 

0.02 
0.50 


PENNSYLVANIA,  34  SITES 


Alachlor 

Airazine 

Butylate 

Captafol 

2,4-D 

Disulfoton 

Lmuron 

Phorate 


Lasso 
AAtrex 
Sutan 
Difolatan 

Di-Syston 

Lorox 

Thimet 


26.5 
2.9 
2.9 
8.8 
2.9 
2.9 
2.9 


0.75 
1.60 
1.60 
1.00 
0.58 
0.50 
0,50 
2.50 


SOUTH  CAROLINA,   16  SITES 


SOUTH  DAKOTA,   106  SITES 


Alachlor 

Lasso 

4 

3.8 

Airazine 

AAtrex 

5 

4.7 

Bux 

1 

0.9 

Captan 

20 

18.9 

Carbofuran 

Furadan 

2 

1.9 

Chloramben 

Amibe.n 

1 

0.9 

2.4-D 

27 

25.5 

Dieldrin 

2 

1.9 

Dimelhoate 

Cygon 

4 

3.8 

Disulfoton 

Di-Syston 

"> 

1.9 

Malathion 

18 

17.0 

MCPA 

1 

0.9 

1.06 
0.90 
1.00 
0.01 
0.25 
2.00 
0,41 
0,01 
0.21 
0.31 
0.01 
0.50 


0.17 
0.10 
O.OI 
5.83 
0.81 
0.11 
O.U 

O.OI 

0.04 
0.56 
0.28 

O.OI 
0.10 

0.02 
0.56 


0.84 
1.79 
1.79 
1.12 
0.65 
0.56 
0.56 
2.80 


Benefin 

Balan 

6.25 

0.60 

0.67 

Captan 

6.25 

O.OI 

0.01 

Carbaryl 

Sevin 

6,25 

1.00 

1.12 

DDT 

12,50 

0.50 

0.56 

Methyl  trilhion 

6,25 

0.25 

0.28 

Mirex 

6,25 

0.01 

0,01 

Nitralin 

Planavin 

6,25 

0.35 

0.39 

Parathion,  ethyl 

6.25 

2.40 

2.69 

Parathion,  methyl 

6.25 

0.25 

0.28 

Sulfur 

6.25 

38.40 

43.04 

Toxaphene 

12.50 

1.00 

1.12 

Trifluralin 

Treflan              r 

18.75 

0.58 

0.65 

Vernolale 

Vernam 

6.25 

2.00 

2.24 

1.19 
1.01 
1.12 
0.01 
0.28 
2.24 
0.45 
0.01 
0.23 
0.35 
O.OI 
0.56 


(Continued  next  page) 

Vol.  12.  No.  4,  March  1979 


203 


TABLE  3  (cont'd.).    Compounds  iipplicd  to  cropland  sites  by  state.  1972 — National  Soils  Monitor ini;  Program 


Sites 

Reporting 

Average  Total 

Sites  Repohting 

Average  Total 

Trade 

Application 

Application 

Trade 

Application 

Application 

Name        - 
IF  Noted 

Compound 

Name 
IF  Noted 

Compound 

No 

% 

Lb/ Acre 

Kg/Ha 

No. 

% 

Lb  Acre 

Kg/Ha 

Melhoxychlor 

1 

0.9 

0.01 

0.01 

Bromacil 

Hyvar 

, 

2.2 

0.75 

0.84 

Melhylmercury 

Captan 

5 

11. 1 

0.03 

0.03 

dicyandiamidc 

Panogen 

2 

1.9 

0.01 

0.01 

Cvcloate 

Rc-Neet 

1 

2.2 

0.25 

0.28 

Paraihion,  ethyl 

I 

0.9 

0.25 

0.28 

2,4-D 

12 

26.7 

1.31 

1.47 

Propachlor 

Ramrod 

5 

4.7 

1.69 

1.89 

Dicamba 

Banvcl  D 

1 

2  2 

0.25 

0.28 

Phoraie 

Thimei 

I 

0.9 

0.70 

0.78 

Dieldrin 
Diuron 
EPTC 
Hexachloro- 

Karmex 
Eptam 

1 
1 

1 

2  2 
2  2 
2  2 

0.04 
0.50 
0.25 

0.04 
0.56 

TENNESSEE 

22  SITES 

0.28 

Alachlor 

Lasso 

1 

4.5 

2.00 

2.24 

henzene 

No-Bunt 

9 

20.0 

0.05 

0.05 

Atrazine 

AAtrex 

J 

n.6 

1.60 

1.79 

Heptachlor 

1 

2.2 

0.01 

0.01 

Dimethoate 

Cygon 

1 

4.5 

2.00 

2.24 

MCPA 

■) 

4.4 

1.25 

1.40 

Diuron 

Karmex 

1 

4.5 

0.11 

0.12 

Mercury 

3 

6.7 

0.01 

0.01 

Disulfoton 

Di-Syslon 

1 

4.5 

0.72 

0.81 

Oxyihioquinox 

Morestan 

1 

2  2 

0.08 

0,09 

Ethylmercury 

Phcn>lmercury 

chloride 

Ceresan  Rec 

I 

4.5 

O.OI 

0.01 

acetate 

PMA 

2 

4.4 

0,01 

0.03 

Folex 

1 

4.5 

1.50 

1.68 

Phorate 

Thimet 

1 

2  2 

0,03 

0.03 

Fluometuron 

Cntoran 

2 

9.1 

0.91 

1.01 

Propham 

IPC 

1 

1    T 

3.00 

3.36 

Linuron 

Lorox 

2 

9.1 

0.63 

0.70 

Propargite 

Omite 

1 

T    1 

1.50 

1.68 

MSMA 

1 

4.5 

2.00 

2.24 

Terbacil 

Sinbar 

2  2 

1.50 

1.68 

Paraquat 

PCNB 

Prometryn 

Terrachlor 
Trctlan 

1 

4.5 
4.5 
4.5 
IS. 2 

0.50 
0.01 
0.24 
1.04 

0.56 
0.01 
0.27 
1.16 

I 

1 
4 

WISCONSIN,  66 

SITES 

Trifluralin 

Alachlor 

Lasso 

5 

7.6 

0.95 

1.06 

Atrazine 
Captafol 

AAtrex 
Difolatan 

16 

24,2 
1,5 

1.33 
0,50 

1.49 

VIRGINIA,  WEST  VIRGINIA,'  24 

SITES 

U.56 

Carbaryl 

Sevin 

1.5 

1,50 

1.68 

Atrazine 

AAtrex 

1 

4.2 

1.60 

1.79 

Carharyl 

Sevin 

2 

8.3 

3.17 

3.55 

Carbofuran 

Furadan 

1.5 

6,00 

6.72 

Daiapon 

4.2 

13.60 

15.24 

Chlordane 

1.5 

8.00 

8.97 

Naptalam 

Alanap 

4.2 

1.50 

1.68 

Cyanazine 

Biadex 

1.5 

1.50 

1.68 

Paraquat 

4.2 

0.50 

0.56 

2.4-D 

4 

6.1 

0.69 

0.78 

Phorate 

Thimei 

4.2 

0.70 

0.78 

Diazinon 

1.5 

0.01 

0.01 

Simazine 

4.2 

1.60 

1.79 

EPTC 

Fensulfothion 
Heptachlor 

Eptam 
Di.sanit 

1.5 
1.5 
1.5 

2.011 
0.75 
2.00 

2.24 
0.84 

WASHINGTON  STATE.  45  SITES 

2.24 

1  iniirnn 

1.5 

1.25 

1.40 

Aldrin 

1 

f   T 

0,05 

0.06 

L.IIILII  t'li 

MCPB 

-> 

3.0 

0.63 

0.70 

Benzene 

Phorate 

Thimet 

5 

7.6 

5.32 

5.96 

hexachloride 

BHC 

2 

4.4 

1.25 

1.40 

Thiram 

Aiasan 

1 

1.5 

0.01 

0.01 

^Because  some  small  eastern  states  had  very  few  sites,  those  with  similar  geographic  location  and/or  agricultural  characteristics  were  combined  to 
obtain  more  representative  data.  State  groups  used  were:  Mid-Atlantic:  Delaware,  Maryland,  and  New  Jersey;  New  England;  Connecticut.  Maine. 
Massachusetts,  New  Hampshire,  Rhode  Island,  and  Vermont;  and  Virginia  and  West  Virginia. 


204 


Pesticides  Monitoring  Journal 


>25%   ^^:3^ 

26-59% 

1 

<60% 

^^^ 

FIGURE  2.     Percent  of  sites  reporting  pesticide  applications,  1972 — National  Soils  Monitoring  Program 


tion;  and  high,  states  where  more  than  60  percent  of  the 
sites  reported  pesticide  application. 

BY  CROP 

Table  4  lists  crops  grown  on  sample  sites  in  1972,  and 
illustrates  the  diversity  of  crops  grown  in  the  United 
States.  Application  data  for  several  major  crops  are 
presented  in  Table  5.  Pesticide  use  varied  widely  among 
these  crops.  Thirty-nine  different  compounds  were  ap- 
plied to  field  corn  sites  but  only  five  compounds  were 
applied  to  more  than  10  percent  of  the  sites.  Cotton- 
growing  sites  also  received  applications  of  39  com- 
pounds, but  only  1 1  compounds  were  applied  to  more 
than  10  percent  of  the  sites. 

Table  6  shows  pesticide  applications  on  several  crops  by 
state.  Differences  in  pesticide  use  among  selected  crops 
are  apparent.  For  example,  only  10.6  p>ercent  of  the 
sites  growing  alfalfa  and/or  bur  clover  reported  any 
pesticide  applications,  but  81.5  percent  of  the  cotton 
sites  did. 

A  cknowledgments 

It  is  not  possible  to  list  all  the  persons  who  contributed 
to  this  study.   However,  the  authors  are  especially  grate- 


TABLE  4.     List  of  crops  grown  on  1 ,402  sampling  sites, 
1972 — National  Soils  Monitoring  Program 


No.  OF 

No.  OF 

Crop 

Sites 

Crop 

Sites 

Field  corn 

364 

Potatoes 

3 

Soybeans 

266 

Blueberries 

2 

Wheat 

111 

Apples 

2 

Mixed  hay 

105 

Peaches 

2 

Alfalfa  and/or  bur  clover 

104 

Turf 

2 

Pasture 

66 

Almonds 

2 

Cotton 

54 

Chick  peas 

2 

Grass  hay 

42 

Range 

2 

Oats 

41 

Sweet  corn 

2 

Sorghum 

24 

Apricots 

1 

Barley 

12 

Plums 

1 

Oranges 

9 

Lespedeza  sericea 

1 

Dry  beans 

9 

Sweet  clover 

1 

Silage  (ccrn  or  sorghum) 

8 

Mint 

1 

Peas 

7 

Hops 

1 

Grapes 

6 

Sweet  sorghum 

1 

Rye 

6 

Celery 

1 

Tobacco 

5 

Green  peppers 

1 

Sugar  beets 

5 

Lettuce 

1 

Rice 

4 

Pumpkins 

1 

Milo 

4 

Tomatoes 

1 

String  beans 

4 

Millet 

1 

Pecans 

3 

Sunflowers 

1 

Flax 

3 

Other 

9 

Sugarcane 

3 

Fallow  sites 

129 

Asparagus 

3 

Vol.  12,  No.  4,  March  1979 


205 


TABLE  5.     Coin[>oiiiuls  applied  to  cropland  sites,  by  most  common  crop. 


1972 — National  Soils  Monitoring  Program 


Sites  Reporunc 
Application 


Average  Total 
Application 


Sites  Reporting 
Application 


Average  Total 
Application 


Compound 


No. 


% 


Lb/Acre 


Kg/Ha 


ALFALFA  and  BUR  CLOVER,  104  SITES 


Carbaryl 
Carbofuran 
EPTC 
IPC 

Malalhion 
Melhoxychlor 
Parathion,  eihyl 
Picloram 
Prolaie 


2.9 
1.0 
1.0 
1.0 
1.0 
I.O 
1.9 
1.0 
1.0 


2.33 
0.25 
2.00 
3.00 
1.00 
2.00 
0.38 
0.75 
0.75 


COTTON.  54  SITES 


Aldicarb 

Azinphosmethyl 

Captan 

Carbaryl 

Chloroneb 

DDT 

DEF 

Dibromochloro- 

propane 
Dicroicphos 
Dimt.hoale 
DisuUoIon 
Diuron 
DNBP 
DSMA 
EMTS 
EPN 
Ethylmercury 

chloride 
Fenaminosulf 
Fluomeiiuon 
Folex 
Linuron 
MCPB 
Mercury 
Methylmercury 

acetate 
Monocrotophos 
MSMA 
Naled 
Nitralin 
Norea 
Paraquat 
Parathion.  methvl 
PCNB 
Phorate 
Prometryn 
Propargile 
Sodium  chlorate 
Thiram 
Toxaphene 
Trifluralin 


2 
1 
3 
1 
8 
16 
6 


5 
3 

20 
1 
2 
2 
1 

24 
1 
1 
4 
I 
2 

1 

21 

3 


3.7 

1.9 

5.6 

1.9 

14.8 

29.6 

11.1 

1.9 

3.7 

1.9 

13.0 

16.7 

7.4 

14.8 

5.6 

1.9 

1.9 
1.9 

40.7 
9.3 
5.6 
3.7 

13.0 

9.3 
5.6 

37.0 
1.9 
3.7 
3.7 
1.9 

44.4 
1.9 
1.9 
7.4 
1.9 
3.7 
1.9 

38.9 

55.6 


0.40 

0.50 

0.02 

1.00 

0.2 

7.44 

0.99 

0.50 
0.08 
2.00 
0.11 
0.80 
1.06 
2.51 
0.01 
3.00 

0.01 
0.01 
0.98 
l.IO 
1.33 
0.50 
0.05 

0.01 
1.66 
2.38 
1.00 
0.88 
1.10 
0.02 
4.61 
0.01 
1.00 
0.87 
1.68 
1.00 
0.01 
12.76 
0.91 


FIELD  CORN.  364  SITES 


Alachlor 

Aldrin 

Atra/ine 

Butylalc 

Bux 

Captan 

Carbaryl 

Carbofuran 

Chlorambeii 

Chlordane 

Cyanazine 

2,4-D 

Dalapon 

Diazinon 

Dicamba 

Dicofol 

Dieldrin 

Disulfoton 

Dyfonaie 

EPTC 

Elhoprop 

Fcnsulfolhion 

Hcplachlor 

Lindane 


36 
31 

188 
17 
25 
82 

1 
14 

2 

4 
1 

73 
1 
5 

10 
I 
1 
1 
2 


9.9 

8.5 
51. S 
4.7 
6.9 
226 
0.3 
3.9 
0.6 
1.1 
0.3 
20.1 
0.3 
1.4 
2.8 
0.3 
0.3 
0.3 
0.6 
0.6 
0.3 
0.6 
1.1 
0.3 


1.19 
1.67 
1.56 
1.68 
0.92 
0.01 
1.33 
0.78 
0.75 
3.79 
2.80 
0.62 
13.60 
1.10 
0.38 
1.00 
0.0 1 
0.50 
0.95 
5.21 
1.00 
0.83 
1.58 
0.01 


2.61 
0.28 
2.24 
3.36 
1.12 
2.24 
0.43 
0.84 
0.84 


0.45 
0.56 
0.02 
1.12 
0.03 
8.34 
1.11 

0.56 
0.09 
2.24 
0.12 
0.90 
1.19 
2.81 
0.01 
3.36 

0.01 
0.01 
1.09 
1.23 
1.49 
0.56 
0.05 

0.01 
1.87 
2.67 
1.12 
0.98 
1.23 
0.02 
5.17 
0.01 
1.12 
0.98 
1.88 
1.12 
0.01 
14.30 
1.02 


1.33 
1.88 
1.74 
1.89 
1.03 
0.01 
1.49 
0.87 
0.84 
4.25 
3.14 
0.69 
15.24 
1.13 
0.43 
1.12 
0.01 
0.56 
1.06 
5.84 
1.12 
0.92 
1.77 
0.01 


Compound 


No. 


% 


Lb/ Acre 


Ko/Ha 


Linuron 

3                      0.8 

0.95 

1.06 

Malalhion 

75                      20.7 

0.01 

0.01 

Melhoxychlor 

8                        2.2 

0.01 

0.01 

Methylmercury 

acetate 

1                        0.3 

0.01 

0.01 

Mirex 

2                       0.6 

0.01 

0.01 

Naplalam 

1                        0.3 

0.83 

0.93 

Paraquat 

1                        0.3 

0.50 

0.56 

Pentachloronhcnol 

1                        0.3 

0.05 

0.06 

Phorate 

19                        5.2 

1.67 

1.88 

Propachlor 

35                        9.6 

1.83 

2.05 

Simazine 

2                       0.5 

2.80 

3.14 

TCBC 

1                        0.3 

8.00 

8.97 

Thiram 

4                        1.1 

O.OI 

0.01 

Toxaphene 

1                        0.3 

0.40 

0.45 

Trietazine 

1                      0.3 

0.25 

0.28 

MIXED  HAY,   105 

SITES 

Carbofuran 

I                       1.0 

1.00 

1.12 

Chlordane 

1                       1.0 

0.75 

0.84 

2.4-D 

2                      1.9 

0.42 

0.47 

EPTC 

1                       1.0 

3.00 

3.36 

Malathion 

1                       1.0 

0.50 

0.56 

Propham 

1                       1.0 

0.50 

0.56 

SOYBEANS,  266  SITES 


Alachlor 

44 

Ancrack 

Butyrac 

Captan 

Carbaryl 

Chloramben 

49 

Chloropropham 

Chloroxuron 

:.4.D 

2,4-DB 

DDT 

Dimethoaic 

Dinitrocresol 

DNBP 

Fluomctiiron 

Linuron 

32 

Methyl  trithion 

Metribuzin 

Mirex 

MSMA 

Naplalam 

Nitralin 

Paraquat 

Paiathion.  methvl 

Phorate 

Propachlor 

Simazine 

Thiram 

Toxaphene 

Trifluralin 

59 

Vernolate 

3 

16.5 
1.5 
0.4 
1.9 
2.6 

18.4 
0.4 
0.4 
1.5 
2.3 
1.1 
0.4 
0.4 
3.4 
0.4 

12.0 
0.4 
0.4 
0.4 
0.4 
1.9 
2.3 
0.8 
2.3 
0.4 
0.8 
0.4 
1.1 
1.9 

1.1 


1.54 
1.08 
0.40 
0.01 
1.83 
1.38 
0.59 
2.00 
0.96 
1.00 
0.66 
0.66 
3.00 
1.54 
0.50 
1.11 
0.25 
0.50 
0.01 
2.00 
1.30 
1.36 
0.38 
0.71 
0.70 
1.90 
3.00 
0.08 
1.00 
0.87 
1.65 


WHEAT,  111  SITES 


Aldrin  1 

Benzene  hcxachloride  2 


Bromacil 

Captan 

2.4-D 

Dicamba 

Diuron 

EMTS 

E.hylmercury 

chloride 
Heptachlor 
Hexachlorobenzene 
Malalhion 
Mercury 
Methylmercury 
*    dicyandiamide 
Parathion,  methyl 
PCNB 
Phcn>lincrcury 

acetate 
Thiram 
Trilluralin 


0.9 
1.8 
0.9 
4.5 
24.3 
0.9 
0.9 
2.7 

3.6 

0.9 
9.0 
0.9 
1.8 

0.9 
6.3 
5.4 

1.8 
1.8 
0.9 


0.05 
1.25 
0.75 
0.03 
0.84 
0.25 
0.50 
0.01 

0.01 
0.01 
0  05 
0.01 
0.01 

0.01 
0.50 
0.02 

0.03 
O.OI 
0.50 


1.72 
1.20 
0.45 
0.01 
2.06 
1.54 
0.66 
2.24 
1.07 
1.12 
0.74 
0.74 
3.36 
1.73 
0.56 
1.24 
0.28 
0.56 
0.01 
2.24 
1.46 
1.52 
0.42 
0.79 
0.78 
2.13 
3.36 
0.09 
1.12 
0.97 
1.85 


0.06 
1.40 
0.84 
0.03 
0.94 
0.28 
0.56 
0.01 

0.01 
0.01 
0.06 
0.01 
0.01 

0.01 
0.56 
0.03 

0.03 
O.OI 
0.56 


206 


Pesticides  Monitoring  Journal 


TABLE  6.    Pesticide  applications  on  selected  crops,  by  state,  1972 — National  Soils  Monitoring  Program 


ALFALFA/BUR  CLOVER 

COTTON 

Pesticides 

No  Pesticides 

Pesticide 

Pestici 

DES 

N 

o  Pesticides 

Pesticide 

State           No. 

OF  Sites 

Applied 

Applied 

Use  Unknown 

No  OF  Sites 

Applied 

Applied 

Use  Unknown 

Alabama 

0 







3 

3 

_ 

_ 

Arkansas 

0 

— 

— 

— 

13 

12 

1 

— 

California 

8 

2 

4 

2 

4 

2 

1 

1 

Florida 

0 

— 

— 

— 

0 

— 

— 

— 

Georgia 

0 

— 

— 

— 

2 

1 

— 

I 

Idaho 

5 

1 

4 

— 

0 

— 

— 

— 

Illinois 

4 

— 

4 

— 

0 

— 

— 

— 

Indiana 

4 

— 

4 

— 

0 

— 

— 

— 

Iowa 

10 

— 

10 

— 

0 

— 

— 

— 

Kentucky 

1 

1 

— 

— 

0 

— 

— 

— 

Louisiana 

0 

— 

— 

— 

6 

6 

— 

«— 

Michigan 

5 

— 

5 

— 

0 

— 

— 

— 

Mid-Atlantic> 

0 

— 

— 

— 

0 

— 

— 

— 

Mississippi 

0 

— 

— 

— 

10 

9 

— 

1 

Missouri 

2 

— 

2 

— 

6 

6 

— 

— 

Nebraska 

10 

— 

9 

1 

0 

— 

— 

— 

New  England' 

0 

— 

— 

— 

0 

— 

— 

— 

New  York 

2 

1 

1 

— 

0 

— 

— 

— 

N.  Carolina 

0 

— 

— 

— 

0 

— 

_ 

— 

Ohio 

4 

1 

3 

— 

0 

— 

— 

— 

Oklahoma 

3 

2 

1 

— 

7 

2 

5 



Oregon 

2 

— 

2 

— 

0 

— 

— 

— 

Pennsylvania 

3 

— 

3 

— 

0 

— 

— 

— 

S.  Carolina 

0 

— 

— 

— 

0 

— 

— 

— 

S.  Dakota 

14 

1 

13 

— 

0 

— 

— 

— 

Tennessee 

0 

— 

— 

— 

3 

3 

— 

— 

Virginia/W.  Virginia' 

0 

— 

— 

— 

0 

— 

— 

— 

Washington  state 

6 

1 

5 

— 

0 

— 

— 

— 

Wisconsin 

21 

i 

20 

— 

0 

— 

— 

— 

Total 

104 

li 

90 

3 

54 

44 

7 

3 

% 

100.0 

10.6 

86.5 

2.9 

100.0 

81.5 

l.VO 

5.5 

FIELD  CORN 

SOYBEANS 

Alabama 

7 

1 

6 

— 

2 

2 

— 

— 

Arkansas 

0 

— 

— 

— 

25 

16 

9 

— 

California 

2 

1 

— 

1 

0 

— 

— 

— 

Florida 

1 

1 

— 

— 

1 

— 

1 

— 

Georgia 

5 

2 

3 

— 

5 

5 

— 

— 

Idaho 

1 

1 

— 

— 

0 

— 

— 

— 

Illinois 

56 

54 

2 

— 

50 

36 

14 

— 

Indiana 

27 

,  25 

2 

— 

24 

19 

5 

— 

Iowa 

73 

65 

7 

1 

48 

41 

5 

2 

Kentucky 

8 

5 

— 

3 

3 

1 

1 

1 

Louisiana 

2 

1 

1 

— 

8 

7 

1 

— 

Michigan 

22 

18 

4 

— 

4 

4 

— 

— 

Mid-Atlantic' 

6 

4 

2 

— 

5 

5 

— 

— 

Mississippi 

1 

1 

— 

— 

13 

n 

2 

— 

Missouri 

16 

14 

2 

— 

23 

18 

4 

1 

Nebraska 

31 

26 

5 

— 

3 

2 

1 

— 

New  England' 

0 

— 

— 

— 

0 

— 

— 

— 

New  York 

13 

9 

4 

^ 

0 

— 

— 

— 

N.  Carolina 

8 

4 

4 

— 

9 

4 

5 

— 

Ohio 

23 

19 

4 

__ 

16 

10 

6 

— 

Oklahoma 

0 





— . 

0 

— 

— 

— 

Oregon 

2 

1 

— 

1 

0 

— 

— 

— 

Pennsylvania 

14 

12 

2 



1 

1 

— 

— 

S.  Carolina 

I 

1 



. 

10 

7 

3 

— 

S.  Dakota 

16 

16 

— 

— 

4 

3 

1 

— 

Tennessee 

4 

3 

1 

— 

6 

4 

2 

— 

Virginia/W.  Virginia' 

1 

1 

— 

_ 

5 

2 

2 

1 

Washington  state 

0 

— 

— 

— 

0 

— 

— 

— 

Wisconsin 

24 

17 

5 

2 

1 

1 

— 

— 

Total 

364 

302 

54 

8 

266 

199 

62 

5 

% 

100.0 

82.9 

14.9 

2.2 

100.0 

74.S 

23.3 

1.9 

WHEAT 

MIXED 

HAY 

Alabama 

0 







1 

— 

1 

— 

Arkansas 

0 

— 

— 



1 

— 

1 

— 

California 

2 

— 

1 

1 

1 

1 

— 

— 

Florida 

0 

— 

— 

— 

0 

— 

— 

— 

Georgia 

0 

— 

— 

— 

0 

— 

— 

— 

Idaho 

4 

4 





3 

— 

3 

— 

Illinois 

7 

2 

5 

— 

6 

1 

5 

— 

Indiana 

9 

— 

9 

— 

0 

— 

— 

— 

Iowa 

0 

— 

— 

— 

1 

— 

I 

— 

Kentucky 

0 

— 

— 

— 

1 

— 

1 

(Continued  next  page) 

Vol.  12,  No.  4,  March  1979 


207 


TABLE  6   (conl'd.).     PcstUiile  appUcutions  on  .sclccU-cl  crops,  by  \lulc,  1972 — Nulionul  Soils  Monitoring  I'ronrum 


WHEAT 


MIXED  HAY 


Stats 


No.  OF  Sites 


Pesticides 
Applied 


Louisiana  0 

Michitian  0 

Mid-Allanlic'  0 

Mississippi  0 

Missouri  5 

Nebraska  14 

New  EnKland '  0 

New  York  0 

N.  Carolina  U 

Ohio  7 

Oklahoma  25 

Oregon  6 

Pennsylvania  0 

S.  Carolina  0 

S.  Dakota  14 

Tennessee  2 
Virginia^W.  Virginia  •        0 

Washington  Male  0 

Wisconsin  16 

Total  1 1 1 

%  100.0 


1 
16 
6 


IS 

53 

47.8 


No  Pesticides 
Applied 


Pesticide 
Use  Unknown 


5 

12 


1 
55 
49.5 


3 

2.7 


No.  OF  Sites 


0 

8 

0 

0 
11 

0 

2 
12 

0 
12 

0 
10 

8 

1 

7 

1 

8 

0 

12 

106 

lOU.O 


Pesiicides 
Applied 


No  Pesticides 
Applied 


5 
5.0 


Pesticide 
Use  Unknown 


2 
12 

12 

7 
8 
1 
7 
1 
8 

12 
101 


fill  to  the  inspectors  from  the  Plant  I'roteetion  and  Quar- 
antine Programs,  Animal  and  Plant  Health  Inspection 
Service,  U.S.  Department  of  Agriculture,  for  collecting 
the  data. 

LITERATURE  CITED 
(/)   Bennitl.  I.  L..  Jr.  1967.  Foreword.  Pestic.  Monil.  J.  1(1). 
(2)  Panel  on  Pesticide  Monitoring.   1971.  Criteria  for  defin- 


ing pesticide  levels  to  he  considered  an  alert  to  potential 
problems.    Pestic.  Monit.  J.   .'i(l):36. 

(3)  Carey.  A.  /:.,  J.  A.  Cowcn,  //.  lai,  W .  G.  Mitchell,  ami 
G.  B.  Wiersniu.  1978.  Pesticide  residue  levels  in  soils 
and  crops  from  37  slates,  1972 — National  Soils  Monitor- 
ing Program  (IV).  Pestic.  Monit.  J.  12(4)  :2()K-228. 

(4)  Wicrsnia.  C.  H.,  I'.  I\  Sand,  and  E.  /..  Cox.  1971.  A 
sampling  design  to  determine  pesticide  residue  levels  in 
soils  of  the  conterminous  United  States.  Pestic.  Monit.  J. 
5(l):63-66. 


208 


PisTiciDES  Monitoring  Journal 


Pesticide  Residue  Levels  in  Soils  and  Crops  from  37  States,  1 972 — 
National  Soils  Monitoring  Program  (IV) 

Ann  E.  Carey,'  Jeanne  A.  Gowen,'  Han  Tai,'  William  U.  Mitchell,'  and  G.  Bruce  Wiersma  ' 


ABSTRACT 

Residue  data  from  the  1972  IFY-7J)  National  Soils  Moni- 
toring; fro^ram  are  summarized.  Composite  samples  of 
agricultural  soil  and  mature  crops  were  collected  from  1 ,483 
of  the  1,533  selected  4-hectare  sites  in  37  states.  Analyses 
were  performed  for  organochlorine  and  orf-anophosphorus 
compounds,  trifliiralin,  and  polychlorinated  hiphenyls  (PCBs): 
analysis  for  atrazine  was  performed  only  wlien  pesticide 
application  data  indicated  current-year  use.  Organochlorine 
pesticides  were  delected  in  45  percent  of  the  soil  samples. 
The  most  frequently  detected  compound  was  dieldrin,  found 
in  27  percent  of  all  soil  .samples.  Other  compounds  de- 
tected, in  order  of  frequency,  included  1)1)1 .  aldrin,  chlor- 
dane,  and  heptachlor  epoxide,  found,  respectively,  in  21,9, 
8,  and  7  percent  of  all  soil  .samples.  Crop  samples  were  col- 
lected from  727  sites.  All  were  analyzed  for  or/janochlo- 
rines;  analyses  were  performed  for  orf;anophosphales  and 
atrazine  only  when  pesticide  application  data  indicated 
current-year  use.  For  all  crops,  40  percent  of  the  samples 
contained  detectable  levels  of  orf;anochlorines  and  10  per- 
cent contained  detectable  levels  of  orfianophosphales.  Atra- 
zine was  not  detected. 

Introdiiclion 
The  National  Pcsticitlc  Monitoring  Program  (NPMP) 
was  initiated  at  the  recommendation  of  the  President's 
Science  Advisory  Committee  in  1963  to  "develop  a  con- 
tinuing network  to  monitor  residue  levels  in  air,  water, 
soil,  man,  wildlile  and  fish"  {H).  The  primary  objective 
of  the  NPMP  is  to  determine  levels  and  trends  of  pesti- 
cides and  their  dcgratlation  products  in  various  com- 
ponents of  the  environment  (5).  The  National  Soils 
Monitoring  Program  (NSMP)  was  established  in  1968 
as  an  integral  part  of  NPMP  to  monitor  residues  in 
agricultural  soils  and  raw  agricultural  crops. 


'Ecological  Moniiorinn  Branch,  Bcnefils  and  Field  Studies  Division, 
Office  of  Pesticide  Programs,  U.S.  Environmental  Protection  Agency, 
TS-768,  Washinglon,  DC  20460. 

-Extension  Agent,  Colorado  Stale  Extension  Service,  Golden,  CO. 

■'Ecological  Monitoring  Branch,  Benefits  and  Field  Studies  Division, 
Office  of  Pesticide  Programs,  U.S.  Environmental  I'roteclion  Agency, 
Pesticides   Monitoring  Laboratory.  Bay  St.   I.ouis.  MS. 

'Chief,  I*ollutant  Pathways  Branch,  Environmental  M()nitoring  and 
Support  Laboratory,  U.S.  Environmental  l*rotection  Agency,  Las 
Vegas,  NV. 


The  present  report  summarizes  soil  and  crop  pesticide 
concentration  data  collected  from  1,48.?  sampling  sites 
in  .37  states  during  1972  (FY-73).  Data  were  not  col- 
lected from  all  conterminous  states  because  of  budgetary 
limitations.  The  states  omitted  from  the  survey  were 
generally  large,  western  states  either  having  little  wide- 
spread agriculture  or  growing  primarily  wheat  and  other 
small  grains,  which  require  fewer  pesticides  than  do 
other  nongrain  crops, 

Sampliitg  Procedures 
A  total  of  1,533  sites  in  37  states  were  scheduled  for 
sampling  during  late  summer  and  fall  of  1972  (Fig,  1), 
.Site  selection  criteria,  statistical  design,  and  sampling 
techniques  involved  in  the  present  study  have  been 
described  (i,  8).  At  each  4-hectare  (lO-acre)  site,  a 
composite  soil  sample  and  a  composite  mature  crop 
sample,  if  available,  were  collected  accoriling  to  estab- 
lished procedures  (6),  In  addition,  information  on 
cropping  practices  and  a  history  of  pesticide  applications 
for  the  current  cropping  season  were  obtained  in  a 
personal  interview  with  the  landowner  or  operator. 
These  data  have  been  summarized  and  published  sepa- 
rately (/). 

A nalytical  Procedures 

OKCANOC  HI  ORINI  S   ANIl  OKCi ANOPMOSPH AI  l;S 

Sample  Preparatiim.  Soil — A  lOO-g  subsample  was  taken 
from  a  thoroughly  mixed  field  sample.  The  subsample 
was  moistened  with  25  ml  distilled  water  and  extracted 
with  200  ml  3:1  hexaneiisopropanol  solvent  by  shaking 
for  4  hours  on  a  reciprocating  shakei .  The  isopropanol 
was  removed  by  three  distilled  water  washes  and  the 
hexane  extract  was  dried  through  anhydrous  sodium 
sulfate.  The  sample  extract  was  then  stored  at  low 
temperature  for  subsequent  gas-liquid  chromatographic 
(GLC)  analysis. 

Crops — For  samples  containing  less  than  2  percent  tat 
(e.g.,  alfalfa,  bur  clover,  corn  stalks,  cotton  stalks,  green 
bolls,  miscellaneous  hay),  a  100-g  sample  of  the  crop 
was  dry  blended  for  3  minutes  and  then  blended  for  5 


Vol.  12,  No.  4,  MaR(  ii  1979 


209 


Not  Sampled 


FIGURE    I.     States  where  agricultural  soils  and  crops  were  sampled.  1972  (FY  197.^) 
— National  Soils  Monitoring  Program 


minutes  in  800  ml  acetonitriie.  An  aliquot  of  the  sample 
extract,  representing  10  g  of  the  original  sample,  was 
decanted  into  a  500-ml  Erienmeyer  flask.  The  extract 
was  concentrated  under  a  three-ball  Snyder  column  to 
approximately  10  ml,  100  ml  hexane  was  added,  and  the 
hexane-acetonitrile  azeotrope  was  again  concentrated  to 
10  ml.  The  process  was  carried  out  three  times  to  re- 
move essentially  all  acetonitriie.  The  hexane  extract 
was  dried  through  anhydrous  sodium  sulfate,  the  volume 
was  adjusted  to  50  ml,  and  the  extract  was  stored  at  low 
temperature. 


chloride  was  essentially  removed.  Each  extract  volume 
was  adjusted  to  2.5  ml  for  separate  injection  on  the 
gas-liquid  chromatograph. 

GLC — Analyses  were  performed  on  gas  chromatographs 
equipped  with  tritium  foil  electron-affinity  detectors  for 
organohalogens  and  thermionic  or  flame  photometric 
detectors  for  organophosphates.  A  multiple-column  sys- 
tem of  polar  and  nonpolar  columns  was  used  to  identify 
compounds.  Instrument  parameters  and  operating  con- 
ditions follow: 


For  crop  samples  containing  more  than  2  percent  fat 
(e.g..  corn  kernels,  cottonseed,  sovbeans),  a  100-g  sam- 
ple was  prewashed  with  100  ml  isopropanol  and  then 
with  100  ml  hexane.  Both  prewashes  were  discarded. 
The  sample  was  extracted  as  described  in  the  preceding 
paragraph.  A  separate  aliquot  of  the  extract,  not  sub- 
jected to  Florisil  cleanup,  was  reserved  for  flame  photo- 
metric analysis  for  organophosphates. 

Florisil  Cleanup — An  extract  equivalent  to  5  g  original 
crop  sample  was  fractionated  through  a  15-g  Florisil 
column  into  two  fractions  bv  use  of  100  ml  10  percent 
methvlene  chloride  in  hexane  and  100  ml  methylene 
chloride  for  fractions  1  and  2,  respectively. 

Methylene  chloride  was  removed  by  concentrating  each 
extract  to  low  volume  under  a  three-ball  Snyder  column, 
adding  100  ml  hexane,  and  concentrating  again  to  low 
volume.    After  two  additions  of  hexane,  the  methylene 


Gas  chromatographs:  Hewlett-Packard  Model  402A 
Hewlett-Packard  Model  402B 
Tracer  Model  MT-::o 

Cohinins:  glass.   6    mm    OD    x    4   mm    ID.    183    cm    long, 

packed  with  one  of  the  following;  5  percent 
OV-2I0  on  811-100-mesh  Chromosorb  W-HP; 
3  percent  DC-20U  on  l(H)-120-mesh  Gas-Chrom 
Q;  a  mixture  of  1.5  percent  OV-17  and  1.95  per- 
cent QF-1  on  100-1 20-niesh  Supelcopon 

Temperatures.  "C:  thermionic  detector  housing  250 
detector  (EC  and  FPD)  200 
injection  port  250 

column  OV-210  166 

column  DC-200  170-175 

mixed  column  185-190 

Carrier  gases:  5  percent  methane-argon  flowing  at  80  mr min- 

ute; prepuritied  nitrogen  flowing  at  80  ml.'minule 

Sensitivity  or  minimum  detection  levels  for  organo- 
chlorines  and  trifluralin  were  0.002-0.0.'*  ppm  except  for 
combinations  of  polychlorinated  hiphenyls  (PCBs), 
chlordane,  toxaphene,  and  other  chemicals  which  had 
minimum  detectable  levels  of  0.05-0.1  ppm.  Minimum 
detectable  levels  for  organophosphates  were  approxi- 
mately 0.01-0.0.^  ppm.  Compounds  detectable  by  this 


210 


PtiSTiciDES  Monitoring  Journal 


methodology  are  listed  in  Table  1 .  When  necessary, 
residues  were  confirmed  on  a  Dohrmann  microcoulo- 
metric  detector  or  a  Coulson  electrolytic  conductivity 
detector.  Because  trifluralin  is  detected  by  the  organo- 
chlorine  methodology,  it  appears  with  the  organochlo- 
rine  analyses  in  the  tables. 


TABLE   1.     Compounds  detectable  by  chemical 
methodology  of  the  present  study 


Organochlorines 

Alachlor 

Endrin  ketone 

Aldrin 

Heptachlor 

Benzene  hexachloride 

Heptachlor  epoxide 

Chlordane 

Hexachlorobenzene 

SDDT 

Isodrin 

Dieldrin 

Lindane  (-^,-BHC) 

DCPA 

Methoxychlor 

Dicofol 

Ovex 

Endosulfan  1 

PCBs 

Endosulfan  II 

PCNs 

Endosulfan  sulfate 

Propachlor 

Endrin 

Toxaphene 

Orcanophosphates 

DEF 

Parathion.  ethyl 

Diazinon 

Parathion.  methyl 

Ethion 

Ronnel 

Malathion 

Trithion 

Phorate 

Other  Halogenated  Hydrocarbons 

Trifluralin  1 

'Although  trifluralin  is  a  dinitroaniline  compound,  it  is  detected  by 
the  organochlorine  methodology  and  thus  appears  with  organochlorines 
in  Tables  2-7. 


Recovery  Studies — Pesticide  recovery  values  from  soil 
were  80-110  percent,  but  usually  were  close  to  100 
percent.  Values  from  crops  ranged  from  70  to  100  per- 
cent, depending  on  the  amount  of  pesticide  present,  the 
individual  pesticide,  and  the  type  of  crop  involved. 
Residue  concentrations  detected  in  both  soil  and  crop 
samples  were  corrected  for  recovery.  Soil  samples  were 
also  converted  to  a  dry-weight  basis. 

ATRAZINE 

To  analyze  soil  samples  for  atrazine,  a  50-g  subsample 
was  taken  from  a  thoroughly  mi.xed  field  sample.  The 
subsample  was  placed  in  the  Soxhlet  thimble  and  moist- 
ened with  40  ml  1:1  distilled  water: methanol.  After 
addition  of  250  ml  nanograde  methanol,  the  sample  was 
extracted  for  4  hours.  The  extract  in  the  Soxhlet  flask 
was  evaporated  to  about  50  ml  on  a  hot  plate  and  by 
use  of  a  three-ball  Snyder  column.  The  sample  extract 
was  then  decanted  into  a  1 -liter  separatory  funnel.  The 
extract  was  partitioned  three  times  with  150  ml  Freon 
1 13  each  time.  The  Freon  113  fractions  were  combined 
and  concentrated  to  incipient  dryness  on  a  rotary 
evaporator.  The  extract  was  dissolved  in  isooctane 
and  adjusted  to  5  ml  for  injection  into  a  gas-liquid 
chromatograph. 


GLC — A  Coulson  electrolytic  conductivity  cell  detector 
in  the  nitrogen  mode  was  used  for  detection  and  quanti- 
fication of  the  atrazine.  Positive  samples  were  con- 
firmed by  alkali  flame  detection.  Recovery  rate  was 
90-1 10  percent;  minimum  detection  level  was  0.01  ppm. 

Results  and  Discussion 
Tables  2-5  show  concentrations  of  pesticides  in  soil 
samples,  and  Tables  6-8  show  concentrations  of  pesti- 
cides in  mature  agricultural  crops.  Soil  concentration 
data  are  also  summarized  by  all  sites  and  by  state  or 
state  groups.  Most  tables  list  the  number  of  analyses, 
the  number  of  times  a  compound  was  detected,  percent 
occurrence  of  the  compound,  the  arithmetic  mean,  the 
estimated  geometric  mean,  and  the  minimum  and 
maximum  positive  concentrations  detected. 

The  estimated  geometric  mean  is  routinely  presented  in 
the  tables  as  an  alternative  to  the  arithmetic  mean  as  a 
measure  of  central  tendency  for  the  data  evaluation. 
Pesticide  residue  data  frequently  contain  a  large  number 
of  zero  values,  resulting  either  from  the  absence  of 
pesticides  or  their  presence  at  levels  below  the  analytical 
sensitivity.  Such  data  are  seldom  distributed  normally, 
as  shown  by  tests  for  skewness  and  kurtosis,  but  often 
tend  to  approximate  a  log-normal  distribution.  After 
repeated  tests  for  significant  skewness  and/or  kurtosis, 
the  log  (Z-fO.Ol)  transformation  was  used  to  deter- 
mine the  logarithmic  means.  The  antilogs  of  these  fig- 
ures, minus  0.01,  were  taken  to  obtain  the  estimates  of 
the  geometric  mean  in  the  untransformed  dimension. 
The  estimated  geometric  mean  was  calculated  only  for 
those  compounds  with  more  than  one  positive  detection. 

COMPOUND  CONCENTRATIONS  IN  CROPLAND  SOIL 

All  Sites — Soil  samples  were  received  from  1,483  of  the 
scheduled  1,533  sites  in  37  states.  Results  of  analyses 
for  organochlorine  and  organophosphorus  pesticides 
and  atrazine  are  presented  in  Table  2.  The  most  fre- 
quently detected  chemical  was  dieldrin,  found  in  27  per- 
cent of  all  samples  analyzed.  Other  compounds,  in 
order  of  frequency,  included  2DDT,  aldrin,  chlordane, 
and  heptachlor  epoxide  found,  respectively,  in  21,  9,  8, 
and  7  percent  of  all  samples  analyzed. 

Table  3  lists  the  occurrence  of  pesticide  residues  in  the 
agricultural  soil  samples  collected  during  1972.  The 
frequency  of  detection  varied  widely  among  the  states 
surveyed.  The  detection  frequencies  of  atrazine  appear 
to  be  much  higher  for  individual  states  than  in  other 
analyses  because  atrazine  analyses  were  performed  only 
when  site  application  records  indicated  its  use  during  the 
current  growing  season. 

Table  4  presents  the  percent  incidence  of  residues  of 
selected  pesticides  at  specific  levels.  For  most  of  the 
compounds   listed,   the   highest   percentage   of   positive 


Vol.  12,  No.  4,  March  1979 


211 


TABLE  2.     Compound  concentrations  in  cropland  soil  for  all  sample  sites  in  37  stales,  1972  (FY  1973) 

— National  Soils  Monitoring  Program 


Compound 


Positive  Detections 


No. 


Residues,  ppm  dry  weiokt 


% 


Arithmetic 
Mean 


Estimated 

Geometric 

Mean' 


Extremes  of 
Detected  Values 


MiN. 


Max. 


ORGANOCHLORINES  ( 1,483  samples) 


Aldrin 

129 

Benzene  hexachloride 

1 

Chlordane 

117 

DCPA 

1 

o.p'-DDE 

10 

p.p'-DDE 

299 

o.p'-DDT 

161 

p,p'-DDT 

275 

o.p'-TDE 

1 

p.p-TDE 

46 

SDDT 

314 

Dicofol 

7 

Dieldrin 

403 

Endosulfan  I 

1 

Endosulfan  II 

1 

Endosulfan  sulfate 

1 

Endrin 

10 

Endrin  ketone 

2 

Heptachlor 

57 

Hepiachlor  epoxide 

97 

Hexachlorobenzene 

11 

PCB 

2 

PCNB 

3 

Propachlor 

1 

Ronnel 

1 

Toxaphene 

76 

Trifluralin- 

81 

8.7 
0.1 
7.9 
0.1 
0.7 
20.2 
10.9 
I8.S 
0.1 
3.1 
21.2 
0.5 
27.2 
0.1 
0.1 
0.1 
0.7 
0.1 
3.9 
6.6 
0.7 
0.1 
0.2 
0.1 
0.1 
5.1 
5.5 


0.03 

<0.01 

0.05 

<0.01 

<0.01 

0.05 

0.03 

0.13 

<0.01 

0.01 

0.22 

<0.01 

0.04 

<0.0I 

<0.0I 

<0.01 

<0.01 

<0.01 

<0.01 

<0.01 

<0.01 

<0.01 

<0.01 

<0,01 

<0.01 

0.24 

0.01 


0.002 

0.003 

<0.001 
0.006 
0.003 
0.007 

0.001 

0.010 

<0.001 

0.008 


<0.001 
<0.001 
0.001 
0.001 
<0.001 
<0.001 
<0.001 


0.003 

0.001 


0.0 1 
0.02 
0.01 
0.18 
0.01 
0.01 
0.01 
0.01 
0.31 
0.01 
0.01 
0.06 
0.01 
0.08 
0.25 
0.31 
0.01 
0.02 
0.01 
0.01 
0.01 
0.80 
0.22 
0.10 
0.19 
0.22 
0.01 


13.28 

7.89 

0.09 

7.16 

5.62 

18.93 

8.20 

29.45 

2.15 

6.18 


2.13 
0.38 
0.60 
0.72 
0.44 
1.49 
2.61 


46.58 
1.86 


ORGANOPHOSPHATES  ( 1,246  samples) 


DEF 

4 

Diazinon 

3 

Malathlon 

2 

Paralhion,  ethyl 

7 

Parathion,  methyl 

1 

Phorate 

13 

0.3 
0.2 
0.2 
0.6 
0.1 


<0.01 
<0.01 
<0.01 
<0.01 
<0.01 


<0.001 
<0.001 
<0.001 
<0.001 


0.06 
0.07 
0.08 
0.02 
O.OI 


0.67 
0.17 
0.13 
0.19 


Phorate 

13 

1.0 

<0.01 

<0.001 

0.01 

0.04 

TRIAZINE   (151  samples) 

Atrazine 

134 

88.7 

0.10 

0.051 

0.01 

0.77 

'Not  calculated  when  fewer  than  two  positive  detections  present. 
'See  footnote,  Table  I. 


212 


Pesticides  Monitoring  Journai 


TABLE  3.     Occurrence  of  pesticide  residues  in  cropland  soils  from  37  states,  1972 — National  Soils  Monitoring  Program 


Organochlorines^ 


Organophosphates 


ATRAZINE2 


No.  OF 

State 

Analyses 

Alabama 

TT 

Arkansas 

43 

California 

64 

Florida 

17 

Georgia 

29 

Idaho 

29 

Illinois 

139 

Indiana 

78 

Iowa 

150 

Kentuckv 

28 

Louisiana 

27 

Michigan 

53 

Mid-Atlantic" 

14 

Mississippi 

30 

Missouri 

82 

Nebraska 

101 

New  England  ' 

20 

New  York 

36 

N.  Carolina 

31 

Ohio 

67 

Oklahoma 

64 

Oregon 

37 

Pennsylvania 

37 

S.  Carolina 

17 

S.  Dakota 

106 

Tennessee 

25 

Virginia  W.  Virg 

nia  '25 

Washington  state 

45 

Wisconsin 

67 

Positive  Detections 


No. 


No.  OF 
Analyses 


Positive  Detections 


No. 


No.  of 
Analyses 


Positive  Detections 


No. 


18 

37 

45 

12 

22 

15 

100 

27 

101 

10 

21 

9 

7 

25 

33 

39 

7 

13 

19 

20 

7 

11 

11 

15 

12 

15 

6 

9 


82 
86 
70 
71 
76 
52 
72 
35 
67 
36 
78 
17 
50 
83 
40 
39 
35 
36 
61 
30 
11 
30 
30 
88 
11 
60 
24 
20 
12 


22 
43 
53 
17 
28 
25 
87 
59 
113 
15 
26 
44 
14 
25 
66 
86 
20 
35 
28 
53 
64 
33 
37 
17 
90 
21 
25 
43 
57 


14 
2 
1 

11 


18 
4 

34 
3 

17 
4 
34 

2 

94 
100 
100 

67 

14 

1 

14 
0 

100 

13 
19 

13 

17 

100 
90 

6 

6 

100 

8 

7 

88 

7 

5 

71 

2 
2 

2 
0 

100 

16 

15 

94 

1  Although  trifluralin  is  a  dinitroaniline  compound,   it  is  detected  bv  the   organochlorine   methodology   and   thus   appears  with   organochlorines   in 

Tables  2-7. 

-Samples  analyzed  only  when  application  records  indicated  atrazine  use  during  the  current  growing  season. 
^Because  some  small  eastern  states  had  very  few  sites,  those  with  similar   geographic  location  and/or  agricultural  characteristics  were  combined  to 

obtain  more  representative  data.    Stale  groups  used  were  Mid-Atlantic:    Delaware,  Maryland  and  New  Jersey;  New  England:  Connecticut.  Maine, 

Massachusetts.  New  Hampshire.  Rhode  Island,  and  Vermont:  and  Virginia  and  West  Virginia. 


TABLE  4.     Percent  incidence  of  selected  pesticides  in  cropland  soil  from  all  sampling  sites  in  37  states,  1972 

— National  Soils  Monitoring  Program 


Concentration, 

Heptachlor 

PPM  DRY  WT 

i:DDT 

Aldrin 

Dieldrin 

Chlordane 

Heptachlor 

Epo.vide 

TOXAPHENE 

Trifluralin 

Not  detected 

78.8 

91.3 

72.8 

92.1 

96.2 

93.5 

94.9 

94.5 

0.01-  0.25 

11.7 

7.3 

23.6 

3.3 

3.6 

6.4 

0.1 

5.0 

0.26-  1.00 

5.3 

1.0 

3.2 

3.2 

0.2 

0.1 

1.1 

0.4 

1.01-  5.00 

3.1 

0.3 

0.3 

1.3 

— 

— 

2.6 

0.1 

5.01-10.00 

0.7 



0.1 

0.1 

— 

— 

0.9 

— 

>10.00 

0.4 

0.1 

— 

— 

— 

— 

0.4 

— 

TOTAL 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

100.0 

Vol.  12,  No.  4,  March  1979 


213 


TABLE  5.     Compound  concentrations  in  cropland  soils,  l>y  state,  1972 — National  Soils  Monitoring  Program 


Positive  Detections 


Compound 


No. 


% 


Arithmetic 

Mean 

Concentration 


Residues,  ppm  dry  weight 


Estimated 
Geometric 

Mean  ^ 


Extremes  of 
Detected  Values 


MiN. 


Max. 


ALABAMA 


Organochlorines,=  22  samples 

Chlordane  1 

P.p'-DDE  14 

o.p-DDT  8 

p.p'-DDT  15 

XDUT  15 

Dieldrin  2 

Endrin  1 

Ronnel  1 

Toxaphene  7 

Trifluralin  4 

Organophosphates,  22  samples 

Phorate  1 


4.6 

63.6 

36.4 

68.2 

68.2 

9.1 

4.6 

4.6 

31.8 

18.2 

4.6 


0.01 
0.08 
0.03 
0.16 

0.27 

<0.01 

<0.01 

<0.01 

0.67 

0.02 

<0.01 


0.028 
0.009 
0.042 
0.062 
0.001 


0.038 
0.006 


0.16 
0.01 
0.01 
0.01 
0.01 
0.01 
0.10 
0.19 
0.22 
0.07 

0.04 


0.58 
0.19 
1.24 
1.97 
0.01 


5.94 
0.17 


ARKANSAS 


Organochlorines."  43  samples 

Chlordane  2 

o.p'-DDE  1 

p.p'-DDE  25 

o.p'-DDT  22 

p,p'-DDT  27 

p.p'-TDE  5 

2DDT  27 

Dieldrin  10 

Endrin  2 

Toxaphene  1 1 

Trifluralin  17 


4.6 
2.3 
S8.1 
51.2 
62.8 
11.6 
62.8 
23.3 
4.6 
25.6 
39.5 


<0.01 
<0.01 
0.16 
0.13 
0.54 
0.02 
0.85 
0.02 
0.01 
1.01 
0.04 


0.001 

0.036 
0.027 
0.083 
0.002 
0.114 
0.005 
0.001 
0.033 
0.015 


0.03 
0.03 
0.01 
0.01 
0.01 
0.01 
0.03 
0.01 
0.02 
0.48 
0.01 


0.08 

1.87 
0.92 
4.49 
0.45 
7.35 
0.24 
0.24 
9.11 
0.31 


Organophosphates,  43  samples;  no  residues  detected 


CALIFORNIA 


Organochlorines," 

64  samples 

Chlordane 

2 

o.p'-DDE 

3 

p.p'-DDE 

44 

o,p-DDT 

23 

P.p'-DDT 

32 

P.p'-TDE 

7 

2DDT 

45 

Dicofol 

4 

Dieldrin 

7 

Hexachlorobenzene 

1 

PCBs 

1 

Toxaphene 

9 

Trifluralin 

1 

Organophosphates 

53 

samples 

DEF 

1 

Malathion 

1 

Parathion,  ethyl 

4 

3.1 

4.7 

68.7 

35.9 

50.0 

10.9 

70.3 

6.3 

10.9 

1.6 

1.6 

14.1 

1.6 

1.9 
1.9 

7.6 


0.02 
<0.01 
0.16 
0.06 
0.26 
0.01 
0.49 
0.05 
0.01 
0.01 
0.02 
0.25 
<0.01 

<0.01 

<0.01 

0.01 


0.001 
0.001 
0.042 
0.011 
0.033 
0.002 
0.074 
0.003 
0.002 


0.010 


0.002 


0.02 
0.01 
0.01 
0.01 
0.02 
0.01 
0.01 
0.38 
0.01 
0.44 
1.49 
0.46 
0.05 

0.10 
0.13 
0.02 


1.02 
0.03 
2.72 
1.38 
5.62 
0.27 
9.72 
2.15 
0.36 


6.45 


0.19 


FLORIDA 


Organochlorines,  17  samples 

Aldrin  I 

Chlordane  4 

p.p'-DDE  10 

o.p'-DDT  2 

P.p'-DDT  10 

P.p'-TDE  1 

2DDT  11 

Dicofol  3 

Dieldrin  3 

Heptachlor  epoxide  1 

Toxaphene  3 


5.9 

23.5 
58.8 
11.8 
58.8 

5.9 
64.7 
17.6 
17.6 

5.9 
17.6 


loxapnene  .*  17. t 

Organophosphates.  17  samples:  no  residues  detected 
Triazines,  1  sample:  no  residues  detected 


0.01 
0.03 
0.08 
0.03 
0.21 
0.04 
0.37 
0.03 
0.08 
<0.01 
0.83 


0.007 
0.017 
0.004 
0.022 

0.035 
0.006 
0.009 

0.019 


0.16 
0.02 
0.01 
0.02 
0.01 
0.74 
0.01 
0.06 
0.15 
0.01 
2.04 


0.22 
0.66 
0.56 
2.16 

3.38 
0.23 
1.09 

9.00 


GEORGIA 


Organochlorines,'  29  samples 
Benzene  hexachloridc  I 
Chlordane  1 

o.p'-DDE  1 

p.p'-DDE  20 


3.4 

3.4 

3.4 

69.0 


<0.01 

<0.01 

<0.01 

0.11 


0.031 


0.02 
0.01 
0.01 
0.01 


1.30 


(Continued  next  paf>e) 
214 


Pi  sTiciDEs  Monitoring  Journal 


TABLE  5    (Cont'd.).     Compound  concentrations  in  cropUmd  soils,  by  state,  1972 — National  Soils  Monitoring  Program 


Residues,  ppm  dry  weight 


Compound 

No 

o,p'-DDT 

6 

p.p'-DDT 

20 

P.p'-TDE 

2 

2  DDT 

22 

Dieldrin 

4 

Endrin 

1 

Toxaphene 

8 

Trifluralin 

2 

Positive  Detections 


% 


Arithmetic 

Mean 

Concentration 


Estimated 

Geometric 

Mean' 


extkemes  of 
Detected  Values 


MiN. 


Max. 


Organophosphates,  28  samples 
Phorate  4 


20.7 
69.0 

6.9 
75.9 
13.8 

3.4 
27.6 

6.9 

14.3 


0.08 

0.33 

0.01 

0.52 

<0.0I 

<0.0I 

2.22 

<0.01 

<0.01 


0.008 
0.043 
0.002 
0.072 
0.001 

0.036 
0.001 

0.002 


0.04 
0.01 
0.03 
0.01 
0.01 
0.01 
0.65 
0.01 

0.02 


1.71 
6.11 

0.15 
9.12 
0.02 

46.58 
0.09 

0.04 


IDAHO 


Organochlorines, 

29  samples 

Chiordane 

1 

p.p'DDE 

11 

o,p -DDT 

4 

p.p'-DDT 

10 

P.p'-TDE 

2 

2  DDT 

12 

Dieldrin 

11 

Heptachlor  epo 

xide 

1 

Hcxachlorobenzene 

1 

3.4 
37.9 
13.8 
34.5 

6.9 
41.4 
37.9 

3.4 

3.4 
Organophosphates,  25  samples:  no  residues  detected 


0.01 
0.02 
0.01 
0.05 

<o.ai 

0.09 

0.01 

<0.01 

<0.01 


0.008 
0.003 
0.009 

0.001 

0.015 
0.006 


0.20 
0.01 
0.02 
0.01 

0.01 

0.01 
0.01 
0.04 
0.01 


0.13 
0.29 
0.96 
0.04 
1.38 
0.04 


ILLINOIS 


Organochlorines, 2  139  samples 


Aldrin 

51 

36.7 

Chiordane 

38 

27.3 

o.p-DDE 

I 

0.7 

p.p'-DDE 

10 

7.2 

P.p'-DDT 

10 

7.2 

2  DDT 

12 

8.6 

Dieldrin 

93 

66.9 

Endrin  ketone 

1 

0.7 

Heptachlor 

31 

22.3 

Heptachlor  epox 

de 

37 

26.6 

Trifluralin 

9 

6.5 

Organophosphates 

87 

samples 

Diazinon 

-) 

2.3 

Phorate 

I 

1.2 

Triazines,  18  samples 

Atrazine 

17 

94.4 

Organochlorines,^ 

78  samples 

Aldrin 

13 

16.7 

Chiordane 

5 

6.4 

p.p'-DDE 

1 

1.3 

P.p'-TDE 

2 

2.6 

2  DDT 

2 

2.6 

Dieldrin 

22 

28.2 

Heptachlor 

4 

5.1 

Heptachlor  epox 

de 

4 

5.1 

Trifluralin 

4 

5.1 

Organophosphates 

59  samples: 

no  residues  detected 

Triazines,  4  samples 

Atrazine 

4 

100.0 

0.14 

0.22 

<0.01 

<0.0I 

<0.01 

0.01 

0.16 

<0.01 

0.01 

0.02 

0.01 

<0.01 
<0.01 


0.009 
0.020 

0  001 
0.001 
0.002 
0.051 

0.004 
0.007 
0.001 

<0.001 


0.074 


INDIANA 


0.02 

0.08 
<0.01 
<0.01 
<0.01 

0.05 
<0.01 
<0.01 

0.01 


0.08 


0.004 
0.003 

<0.001 
<0.001 
0.010 
0.001 
0.001 
0.002 


0.075 


0.01 
0.04 
0.03 
0.02 
0.03 
0.02 
0.01 
0.02 
0.01 
0.01 
0.02 

0.15 

0.40 

0.01 


0.01 
0.26 
0.05 
0.01 
0.01 
0.01 
0.03 
0.04 
0.06 


0.03 


12.69 
3.97 

0.06 
0.11 
0.16 
6.18 

0.60 
0.26 

0.27 

0.17 


0.33 


0.40 
3.95 

0.06 
0.11 
1.11 
0.21 
0.12 
0.60 


0.11 


IOWA 


Organochlorines, - 

150 

samples 

Aldrin 

28 

Chiordane 

29 

p.p'-DDE 

16 

o,p'-DDT 

6 

p.p'-DDT 

14 

P.p'-TDE 

2 

2  DDT 

17 

Dieldrin 

85 

Heptachlor 

13 

Heptachlor  epox 

ide 

27 

PCBs 

1 

Propachlor 

1 

Trifluralin 

22 

18.7 

19.3 

10.7 

4.0 

9.3 

1.3 

11.3 

56.7 

8.7 

18.0 

0.7 

0.7 

14.7 


0.04 
0.10 
0.01 

<0.01 
0.02 

<0.01 
0.03 
O.09 
0.01 
0.01 
0.01 

<0.01 
0.01 


0.004 
0.009 
0.002 
0.001 
0.003 
<0.001 
0.003 
0.029 
0.001 
0.003 


0.004 


0.01 
0.02 
0.01 
0.01 
0.01 
0.01 
0.02 
0.01 
0.01 
0.01 
0.80 
0.10 
0.01 


2.07 
3.44 
0.33 
0.24 
0.93 
0.01 
1.50 
1.62 
0.44 
0.20 


0.18 


(Continued  next  page) 

Vol.  12,  No.  4,  March  1979 


215 


TABLE   5   (Cont'd.).     Compound  comciilratioiis  in  cropland  soils,  by  state.  1972 — National  Soils  Monitoring  Program 


Positive  Detections 


Compound 


No. 


Arithmetic 

Mean 

Concentration 


Residues,  ppm  dry  weight 


Estimated 

Geometric 

Mean' 


Extremes  of 
Detected  Values 


MiN. 


Max. 


Organophosphates,  113  samples 
Diazinon  1 

Triazines.  34  samples 
Atrazine  32 


0.9 
94.1 


<0,01 
0.21 


0.07 
0.01 


0.77 


KENTUCKY 


Organochlorines.  28  samples 
Chlordane  2 

p.p'-DDE  3 

p.p'-DDT  3 

p,p'-TDE  2 

3  DDT  4 

Dieldrin  7 

Hepiachlor  epoxide  2 

Organophosphates.  15  samples: 

Triazines,  3  samples 
Atrazine  2 


7.1 
10.7 
10.7 

7.1 
14.3 
25.0 

7.1 
no  residues  detected 

66.7 


0.01 
<0.01 
<0.01 
<0.01 
0.01 
0.01 
<0.01 


0.01 


0.002 
0.001 
0.002 
0.001 
0.002 
0.004 
0.001 


0.010 


0.14 
0.01 
0.02 
0.01 
0.01 
0.01 
0.01 


0.01 


0.18 
0.03 
0.05 
0.01 
0.08 
0.12 
0.02 


0.03 


LOUISIANA 


Organochlorines.-  27  samples 

Aldrin  2 

p.p'-DDE  14 

o,p'-DDT  10 

p.p'-DDT  14 

3  DDT  14 

Dieldrin  11 

Endrin  1 

Toxaphene  8 

Trifluralin  2 

Organophosphates,  26  samples 

DEF  1 

Phorate  2 


7.4 
51.9 
37.0 
51.9 
51.9 
40.7 

3.7 
29.6 

7.4 

3.9 

7.7 


<0.01 
0.43 
0.41 
1.26 
2.09 
0.03 
0.02 
3.51 
0.01 

<0.01 
<0.01 


0.001 
0.046 
0.030 
0.072 
O.IOO 
0.012 

0.065 
0.002 


0.001 


0.01 
0.01 
0.01 
0.01 
0.03 
0.01 
0.48 
2.08 
0.11 

0.08 
0.04 


0.05 

6.21 

5.62 

15.86 

27.69 
0.27 

29.99 
0.12 


0.04 


MICHIGAN 


Organochlorines,=  53  samples 

3.8 
1.9 
1.9 
11.3 
7.6 
9.4 
1.9 
11.3 
7.6 
1.9 
1.9 

Organophosphates.  44  samples:  no  residues  detected 

Triazines.  14  samples 

Atrazine  14  100  0 


Aldrin 

2 

Chlordane 

1 

DCPA 

1 

p.p'-DDE 

6 

o.p'-DDT 

4 

p.p'-DDT 

5 

p.p'-TDE 

1 

:ddt 

6 

Dieldrin 

4 

Hexachlorobenzene 

1 

Trifluralin 

1 

0.25 
0.02 

<0.01 
0.24 
0.13 
0.67 

<0.01 
1.04 
0.06 

<0.01 
0.01 


0.09 


0.002 


0.005 
0.004 
0.006 

0.007 
0.003 


0.062 


0.04 
1.24 
0.18 
0.02 
0.09 
0.05 
0.10 
0.02 
0.09 
0.07 
0.31 


0.01 


13.28 


7.16 
3.36 
18.93 

29.45 
2.26 


0.41 


MID-ATLANTIC^ 


Organochlorines,  14  samples 

Chlordane  2 

D.p'-DDE  1 

p.p'-DDE  4 

o.p'DDT  3 

p.p'-DDT  4 

P.p'-TDE  1 

2  DDT  4 

Dieldrin  4 

Endrin  1 

Hcptachlor  1 

Hepiachlor  epoxide  1 


14,3 

7.1 

28.6 

21.4 

28.6 

7.1 

28.6 

28.6 

7.1 

7.1 

7.1 


Organophosphates.  14  samples:  no  residues  detected 
Triazines,  1  sample:  no  residues  delected 


0.07 

0.01 

0.15 

0.02 

0.12 

<0.«1 

0.30 

0.03 

0.02 

<0.01 

<0.01 


0.007 

0.013 
0.006 
0.014 

0.020 
0.0C8 


0.16 
0.09 
0.04 
0.04 
0.02 
0.07 
0.06 
0.04 
0.25 
0.01 
0.07 


0.83 

1.83 
0.23 
1.17 

3.32 
0.26 


Organochlorines,^  30  samples 
P.p'-DDE  24 
o.p'-DDT  18 
P.p'-DDT  24 
P.P'-TDE 3_ 

(Continued  next  page) 
216 


MISSISSIPPI 


so.o 

60.0 
80.0 
10.0 


0.23 
0.27 
1.12 
0.04 


0.087 
0.057 
0.239 
0.003 


0.02 
0.01 
0.02 
001 


1.54 
1.79 
8.76 
1.25 


Pesticides  Monitoring  Journal 


TABLE  5   (Cont'd.).     Compound  conccnirations  in  cropland  soils,  by  state,  1972 — National  Soils  Monitoring  Program 


Residues,  ppm  dry  weight 


Compound 

No. 

2  DDT 

24 

Dieldrin 

3 

Toxaphene 

16 

Trifluralin 

1 

Organophosphates, 

25  samples 

DEF 

-» 

Phoratc 

1 

Positive  Detections 


% 


Arithmetic 

Mean 

Concentration 


Estimated 

Geometric 

Mean' 


Extremes  of 
Detected  Values 


MiN. 


Max. 


80.0 

10.0 

53.3 

3.3 

8.0 
4.0 


1.66 
<0.01 

2.21 
<0.01 

0.03 
<0.01 


0.337 
0.001 
0.185 


0.003 


0.05 
0.01 
0.49 
O.OS 

0.06 
0.03 


12.33 
0.05 
12.77 


0.67 


MISSOURI 


Organochlorines.-  82  samples 


Aldrin 

14 

17.1 

Chlordane 

3 

3.7 

p.p'-DDE 

6 

7.3 

o.p'-DDT 

3 

3.7 

p.P -DDT 

6 

7.3 

2DD1 

6 

7.3 

Dieldrin 

26 

31.7 

Heptachlor 

2 

2.4 

Heptachlor 

epoxi 

de 

3 

3.7 

Toxaphene 

2 

2.4 

Trifluralin 

6 

7.3 

Organophosphates. 

66 

samples: 

no  residues  detected 

Tnazines.  13 

sampl 

les 

Atrazine 

13 

100.0 

0.05 

0.01 

<0.01 

<0.01 

0.01 

0.02 

0.05 

<0.01 

<0.01 

0.04 

0.02 


0.07 


0  006 
0.001 
0.001 
0.001 
0.002 
0.002 
0.012 
0.001 
0.001 
0.001 
0.003 


0.055 


0.01 
0.26 
0.01 
0.01 
0.06 
0.08 
0.01 
0.05 
0.01 
1.01 
0.04 


0.01 


1.55 
0.62 
0.10 
0.12 
0.51 
0.73 
0.60 
0.07 
0.06 
1.99 
0.68 


0.17 


Organochlorines,-  101  samples 

Aldrin  2 

Chlordane  8 

p.p'-DDE  7 

o.p'-DDT  1 

P.P'-DDT  6 

2  DDT  7 

Dieldrin  34 

Endrin  1 

Heptachlor  epoxide  5 
Organophosphates.  86  samples;  no  residues  detected 
Triazines.  19  samples 

Atrazine  17  89.5 


NEBRASKA 

2.0 

<0.01 

<0.001 

7.9 

0.01 

0.002 

6.9 

<0.01 

0.001 

1.0 

<0.01 

— 

5.9 

0.01 

0.001 

6.9 

0.01 

0.002 

33.7 

0.03 

0.009 

1.0 

<0.01 

— 

5.0 

<0.01 

0.001 

0.06 


0.035 


0.01 
0.01 
0.01 
0.12 
0.01 
0.02 
0.01 
0.01 
0.01 


0.01 


0.06 
0.19 
0.36 

0.50 
0.98 
0.29 

0.07 


0.31 


NEW  ENGLAND^ 


Organochlorines,  20  samples 

Chlordane  2 

p.p'-DDE  6 

o.p'-DDT  3 

p.p'-DDT  5 

P.P'-TDE  3 

2  DDT  6 

Dieldrin  2 

Endosulfan  I  1 

Endosulfan  II  1 

Endosulfan  sulfate  1 
Heptachlor  epoxide 


10.0 

30.0 

15.0 

25.0 

15.0 

30.0 

10.0 

5.0 

5.0 

5.0 

10.0 


Organophosphates,  20  samples:  no  residues  detected 


Organochlorines,  36  samples 

Chlordane  1 

o,p'-DDE  2 

p.p'-DDE  9 

o.p'-DDT  7 

p.p'-DDT  9 

o.p'-TDE  1 

P.P'-TDE  2 

2  DDT  9 

Dieldrin  6 

Endrin  1 

Heptachlor  1 

Organophosphates,  35  samples: 

Triazines,  6  samples 

Atrazine  6 


2.8 

5.6 

25.0 

19.4 

25.0 

2.8 

5.6 

25.0 

16.7 

2.8 

2.8 

no  residues  detected 

100.0 


(Continued  next  page) 

Vol.  12,  No.  4,  March  1979 


0.03 
0.24 
0.01 
0.20 
0.44 
0.90 
0.24 

<0.01 
0.01 
0.02 

<0.01 


NEW  YORK 


0.03 
<0.01 
0.06 
0.02 
0.13 
0.01 
0.02 
0.24 
0.01 
0.01 
<0.0I 


0.06 


0.004 
0.012 
0.004 
0.015 
0.009 
0.022 
0.006 


0.001 
0.007 
0.005 
0.012 

0.002 
0.016 
0.004 


0.045 


0.30 
0.02 
0.02 
0.04 
0.09 
0.03 
0.19 
0.08 
0.25 
0.31 
0.03 


1.02 
0.03 
0.01 
0.02 
0.05 
0.31 
0.18 
0.08 
0.01 
0.24 
0.01 


0.01 


0.31 
4.34 
0.18 
2.49 
8.20 
15.03 
4.64 


0.06 


0.04 
1.26 
0.44 
3.14 

0.52 
5.06 
0.21 


0.21 


217 


TABLE   5   (Cont'd.).     Coinpoiinil  concentrations  in  cropland  soils,  by  state,  l')72 — National  Soils  Monitorinf;  Program 


Positive  Detections 


Compound 


No. 


Arithmetic 

Mean 

concentkation 


Residues,  ppm  dry  weight 


Estimated 

Geometric 

Mean^ 


Extremes  of 
Detected  Values 


MiN. 


Max. 


NORTH  CAROLINA 


Organochlorines,2  31  samples 


Aldrin 

3.2 

Chlordane 

6.4 

p,p'-DDE 

17 

54.8 

o.p'-DDT 

13 

41.9 

p,p'-DDT 

17 

54.8 

p.p'-TDE 

12.9 

2  DDT 

17 

54.8 

Dieldrin 

in 

32.3 

Endrin 

3.2 

Endrin  ketone 

3.2 

Heptachlor 

3.2 

Heptachlor  epoxide 

3.2 

PCNB 

3.2 

Toxaphene 

12.9 

Trifluralin 

9.7 

Organophosphates.  28 

samples 

Parathion.  ethyl 

3.6 

Phorate 

10.7 

Triazines.  2  samples: 

no  residues  detected 

<0.01 
0.05 
0.18 
0.04 
0.18 
0.01 
0.41 
0.03 
0.07 
0.01 
<0.01 
<0.01 
0.03 
0.47 
0.06 

<0.01 
<0.01 


0.002 
0.027 
0.013 
0.044 
0.C03 
0.065 
0.007 


0.010 
0.003 


0.001 


0.10 
0.02 
0.02 
0.01 
0.02 
0.02 
0.06 
0.01 
2.13 
0.38 
0.01 
0.03 
0.98 
1.07 
0.02 

0.12 
0.01 


1.39 
3.92 
0.26 
1.58 
0.28 
5.76 
0.32 


11.03 
1.86 


0.06 


OHIO 


Organochlorines,  67  samples 

Aldrin  12 

Chlordane  2 

p,p-DDE  2 

p.p'-TDE  2 

2  DDT  2 

Dieldrin  18 

Heptachlor  2 
Heptachlor  epoxide 


17.9 
3.0 
3.0 
3.0 
3.0 

26.9 
3.0 
1.5 


Organophosphates.  53  samples:  no  residues  detected 
Triazines,  8  samples 

Atrazine  7  87.5 


0.03 

0.09 

<0.0I 

<0.01 

<0.01 

0.02 

0.01 

<0.01 


0.07 


0.005 
0.002 
<0.001 
0.001 
0.001 
0.007 
0.001 


0.050 


0.01 
0.87 
0.02 
0.05 
0.08 
0.01 
0.16 
0.07 


0.02 


0.61 
4.99 
0.04 
0.06 
0.09 
0.27 
0.29 


0.19 


OKLAHOMA 


Organochlorines,"  64  samples 

6.3 
3.1 
4.7 
6.3 
1.6 
3.1 
1.6 
1.6 

Organophosphates,  64  samples:  no  residues  detected 


P,P'-DDE 

o.p'-DDT 

P.p'-DDT 

2  DDT 

Dieldrin 

Hexachlorobenzene 

PCNB 

1 

Trifluralin 

I 

0.01 
<0.01 

0.01 

0.02 
<0.01 
<0.01 

0.04 
<0.01 


0.001 
0.001 
0.001 
0.002 

0.001 


0.01 
0.03 
0.05 
0.01 
0.04 
0.03 
2.61 
0.08 


0.41 
0.18 
0.30 
0.89 

0.12 


OREGON 


Organochlorines,  37  samples 


Chlordane 

2 

5.4 

P,p'-DDE 

8 

21.6 

o.p'-DDT 

3 

8.1 

P.p'-DDT 

5 

13.5 

P,p'-TDE 

1 

2.7 

2  DDT 

8 

21.6 

Dieldrin 

4 

10.8 

Heptachlor  epoxide 

2 

5.4 

Toxaphene 

2 

5.4 

rganophosphates,  33  sa 

mples: 

no  residues  detected 

<0.01 
0.03 
0.01 
0.04 

<0.01 
0.08 
0.01 

<0.01 
0.03 


0.001 
0.005 
0.002 
0.005 

0.007 

0.003 

<0.OOI 

0.003 


0.02 
0.01 
0.03 
0.03 
0.03 
0.01 
0.03 
0.01 
0.55 


0.05 
0.65 
0.35 
1.05 

2.08 
0.19 
O.OI 
0.64 


PENNSYLVANIA 


Organochlorines.^  37  samples 


Chlordane                            2 

5.4 

P.p'-DDE                             7 

18.9 

o,p'-DDT                             3 

8.1 

P.p'-DDT                             6 

16.2 

2  DDT                                  7 

18.9 

Dieldrin                                6 

16.2 

Heptachlor  epoxide            2 

5.4 

Trifluralin                             1 

2.7 

Organophosphates.  37  samples: 

no  residues  detected 

Triazines,  7  samples 

Atrazine                               5 

71.4 

0.01 
0.04 
O.OI 
0.03 
0.07 
0.01 
<0.01 
<0.01 


0.03 


0.002 
0.006 
0.002 
0.005 
0.007 
0.004 
0.001 


0.022 


0.21 
0.01 
0.02 
0.02 
0.01 
0.03 
0.01 
0.13 


0.01 


0.26 
0.72 
0.16 
0.61 
1.49 
0.23 
0.05 


0.10 


(Continued  next  page) 
218 


Pesticides  Monitoring  Journal 


TABLE  5    (Cont'd. ).     Compound  concentrations  in  cropland  soils,  by  state,  1972 — National  Soils  Monitoring  Program 


Positive  Detections 


Compound 


No.  OF 


% 


Arithmetic 

Mean 
Concentration 


Residues,  ppm  dry  weight 


Estimated 
Geometric 

Meani 


Extremes  of 
Detected  Values 


MiN. 


Max. 


SOUTH  CAROLINA 


Organochlorines,-  17  samples 

o.p'-DDE  1 

p.p'-DDE  15 

o.p'-DDT  12 

p.p-DDT  15 

p.p-TDE  4 

2  DDT  15 

Dieldrin  2 

Toxaphene  6 

Trifluralin  4 

Organophosphates,  17  samples 

Phorale  1 


5.9 
88.2 
70.6 
88.2 
23.5 
88.2 
11.8 
35.3 
23.5 

5.9 


<0.0l 
0.16 
0.08 
0.40 
0.01 
0.64 

<0.01 
1.17 
0.01 

<0.01 


0.088 
0.032 
0.159 
0.004 
0.263 
0.002 
0.062 
0.003 


0.03 
0.02 
0.01 
0.02 
0.01 
0.04 
0.01 
0.82 
0.01 

0.04 


0.38 
0.39 
1.11 
0.14 
1.88 
0.05 
6.16 
0.05 


SOUTH  DAKOTA 


Organochlorines,  106  samples 

Aldrin  3 

Chlordane  2 

p.p'-DDE 

o.p'-DDT 

p,p-DDT 

p.p--TDE 

2  DDT 

Dieldrin  1 

Endrin 

Hepiachlor  epoxide  .: 

Organophosphates,  90  samples 

Malathion  1 

Parathion,  ethyl  2 

Parathion,  methyl  1 


1.9 
0.9 
0.9 
0.9 
0.9 
0.9 
10.4 
0.9 
1.9 

1.1 
2.2 
1.1 


Organochlorines,-  25  samples 

Chlordane  I 

p.p'-DDE  8 

o.p'-DDT  3 

p.p'-DDT  8 

p.p'-TDE  I 

2  DDT  9 

Dieldrin  6 

Hepiachlor  epoxide  1 

PCNB  1 

Toxaphene  1 

Trifluralin  2 


4.0 

32.0 

12.0 

32.0 

4.1) 

36.0 

24.0 

4.0 

4.0 

4.0 

i.O 


Organophosphates.  2  samples:  no  residues  detected 
Triazines,  2  samples 

Atrazine  2  100.0 


Organochlorines,  25  samples 

Chlordane  1 

P.p'-DDE  3 

o.p'-DDT  2 

p.p'-DDT  3 

2  DDT  4 

Dieldrin  3 
Hepiachlor  epoxide 


4.0 
12.0 

8.0 
12.0 
16.0 
12.0 

8.0 


Organophosphates,  25  samples:  no  residues  detected 
Triazines.  3  samples:  no  residues  detected 


Organochlorines,-  45  samples 


p.p'-DDE 
o.p'-DDT 
p.p'-DDT 
2  DDT 

Dieldrin 

Hexachlorobenzene 

Trifluralin 


4.4 

2.2 
2.2 
4.4 
4.4 
13.3 


Organophosphates,  43  samples:  no  residues  detected 


<0,01 
<0.01 
<0.01 
<0.01 
<0.01 
<0.01 
<0.01 
0.01 
<0.01 
<0.01 

<0.01 
<0.01 
<0.01 


<0.001 
0.001 


0.002 
<0.001 

0.001 


TENNESSEE 


0.32 
0.02 
0.01 
0.04 
0.0 1 
0.08 
0.04 
0.03 
0.01 
0.13 
<0.01 


0.02 


0.008 
0.003 
0.011 

0.017 
0.007 


0.002 


0.018 


VIRGINIA/WEST  VIRGINIA' 


0.03 
0.01 
<0.0I 
0.01 
0.02 
0.0! 
0.01 


0.002 
O.OOl 
0.002 
0.003 
0.003 
0.001 


WASHINGTON  STATE 


<0.01 
<0.01 
<0.01 
<0.01 

<o.oi 

<?).01 
<0.01 


0.001 


0.001 
0.001 
0.002 


(Continued  next  page) 

Vol.  12,  No.  4,  March  1979 


0.01 
0.15 
0.13 
0.03 
0.33 
0.01 
0.50 
0.01 
0.04 
0.01 

0.08 
0.06 
0.01 


7.89 
0.01 
0.06 
0.03 
0.17 
0.02 
0.02 
0.72 
0.22 
3.37 
0.05 


0.01 


0.70 
0.01 
0.01 
0.01 
0.01 
0.03 
0.01 


0.05 
0.31 


0.21 
0.03 

0.10 


0.25 
0.20 
0.32 

0.51 
0.41 


0.07 


0.03 


0.09 
0.02 
0.13 
0.23 
0.15 
0.12 


0.05 

0.06 

0.01 

0.04 

0.05 

0.11 

0.02 

0.03 

0.01 

0.03 

0.06 

219 


TABLE  5   (Cont'd.).     Compound  concentrations  in  cropland  soils,  hy  state.  l')72 — National  Soils  Monitoring  Program 


Positive  Detections 


Compound 


No. 


% 


Arithmetic 

Mean 

Concentration 


Residues,  ppm  dry  weight 


Estimated 

Geometric 

Mean* 


Extremes  of 
Deteced  Values 


Mm. 


Max. 


WISCONSIN 


Organochlorines,  67  samples 

Chlordane  3 

p.p'-DDE  3 

o,p'-DDT  1 

P.P'-DDT  2 

i;DDT  3 

Dieldrin  6 

Heptachlor  2 

Heptachlor  epoxide  3 


4.5 
4.5 
1.5 
3.0 
4.5 
9.0 
3.0 
4.5 


Organophosphates,  57  samples:  no  residues  delected 
Triazines.  16  samples 
Atrazine  15  93.8 


4- 


0.04 

0.01 

<0.01 

0.01 

0.02 

0.01 

<0.01 

<0.01 


0.04 


0.002 
0.001 

0.001 
0.001 
0.002 
0.001 
0.001 


0.030 


0.69 
0.05 
0.08 
0.06 
0.05 
0.03 
0.02 
0.01 


O.OI 


1.19 

0.42 

0.41 
0.91 
0.13 
0.06 
0.06 


0.13 


>Not  calculated  when  fewer  than  two  positive  detections  present. 
2  See  footnote  1,  Table  1. 
='See  footnote  3,  Table  3. 


TABLE  6.     Occurrence  of  pesticide  concentrations  in  standing  agricultural  crops  from  1 ,483  sampling  sites.  1972 

— National  Soils  Monitoring  Program 


Orcanochlorines 

Organophosphates 

Triazines 

No.  OF 

Positive  Detections 

No.  OF 

Positive  Detections" 

No.  OF 

Positive  Detections 

Crop  Materials   Analyses 

No. 

% 

Analyses 

No. 

% 

Analyses 

No.                   % 

Alfalfa/bur  clover 

43 

25 

58 

39 

3 

7 

Asparagus 

1 

1 

100 

1 

0 



Beans,  dry 

3 

1 

33 

3 

0 





Clover  {Trifolium) 

8 

5 

63 

8 

0 





Corn,  sweet  (kernel 

s)    2 

0 



2 

0 



.  . 

Corn,  field  (kernels 

)  288 

31 

U 

167 

0 

. 

12 

0                      — 

Corn  stalks 

283 

132 

47 

247 

6 

-> 

16 

0                      — 

Cotton  stalks 

40 

39 

98 

40 

32 

80 

Cotton 

2 

0 



2 

0 





Cotton  seed 

38 

31 

82 

32 

13 

41 



Grass  hay 

21 

14 

67 

21 

6 

29 



Leipedeza 

1 

1 

100 

1 

1 

100 



Mixed  hay 

47 

31 

66 

43 

3 

7 



Oat  hay 

1 

0 

—  ■ 

1 

0 



Pasture  forage 

10 

5 

50 

9 

1 

11 



Peanut  vines 

2 

2 

100 

2 

0 



.^^ 

Soybean  hay 

1 

1 

100 

_ 

Sugar  beet  lops 

1 

0 



_ 



Silage  (corn 

or  sorghum) 

3 

1 

33 

2 

1 

50 



Milo 

3 

1 

33 

2 

0 





Peanuts 

9 

6 

67 

0 





Peas 

1 

0 



0 



__^ 

Pecans 

1 

0 



0 





Rye 

1 

1 

100 

0 





Sorghum  (grain) 

14 

5 

36 

11 

2 

18 



Sorghum  (stalks) 

18 

8 

44 

15 

3 

20 



Soybean.^ 

199 

73 

37 

66 

0 

. . 

^ 

Sugarcane 

2 

0 

2 

0 



^ 

Sweet  sorghum 

2 

2 

100 

__ 

Tobacco 

2 

2 

100 

2 

1 

50 

— 

220 


Pesticides  Monitoring  Journal 


TABLE  7.     Occurrence  of  organochlorine  concenlrations  in  selected,  maiiire  crops,  from  1,483  sites  by  state  or  stale  group, 

1972 — National  Soils  Monitoring  Program 


Field  Corn,  Kernels 


Soybeans 


Mixed  Hay 


State 


No.  OF 
Analyses 


Positive  Detections 


No. 


No.  of 
Analyses 


Positive  Detections 


No. 


Positive  Detections 


No.  OF 
Analyses 


No. 


% 


Alabama 

Arkansas 

California 

Florida 

Georgia 

Idaho 

Illinois 

Indiana 

Iowa 

Kentucky 

Louisiana 

Michigan 

Mid-AtlanliQi 

Mississippi 

Missouri 

Nebraska 

New  England^ 

New  York 

N.  Carolina 

Ohio 

Oklahoma 

Oregon 

Pennsylvania 

S.  Carolina 

S.  Dakota 

Tennessee  2 

Virginia/W.  Virginia^    1 

Washington  state  — 

Wisconsin  13 


41 
24 
71 

6 
1 

21 
3 

10 

27 

11 
6 

18 
1 

10 

11 


2 

17 

1 


5 
33 


7 
73 
17 

90 
100 


4 
19 

1 

5 

28 

14 

41 

3 

7 

4 

3 

15 

15 

3 


4 
10 

0 

2 

16 
6 

17 
0 
3 
0 
0 
1 
6 
0 


100 
53 


40 

57 
43 
41 


7 
40 


10 


10 


100 


100 
100 


100 


100 
14 


1 

1         100 

1 

I         100 

g 

1         13 

1 

1         100 

1 

1                     64 

1 

I         100 

1 

I         100 

1 

1         100 

4 

I                     50 

1 

1         100 

3 

1         33 

J  See  footnote  3;  Table  3. 


Vol.  12,  No.  4,  March  1979 


221 


TABLE  8.     Compound  concentrations  in  standing  agricultural  crops,  1972 — National  Soils  Monitoring  Program 


Positive  Detections 


Compound 


No. 


Arithmetic 

Mean 

Concentration 


Residues,  ppm  dry  weight 


Estimated 

Geometric 

Meani 


Extremes  of 
Detected  Values 


MiN. 


Max. 


ALFALFA/BUR  CLOVER 


Organochlorines,  43  samples 

Chlordane  7 

p.p'-DDE  12 

o.p'-DDT  12 

p.p'-DDT  15 

i:DDT  15 

Dieldrin  16 

Hepiachlor  epoxide  I 

Toxaphene  2 

Organophosphates.  39  samples 

DEF  1 

Diazinon  I 

Malathion  3 


Organochlorines,  I  sample 


p.p'-DDE 
o.p'-DDT 
p.p'-DDT 
3:  DDT 


16.3 

0.02 

27.9 

0.01 

27.9 

0.01 

34.9 

0.02 

34.9 

0.04 

37.2 

0.01 

2.3 

<0.01 

4.6 

0.01 

2.6 

<0.01 

2.6 

<0.01 

7.7 

0.01 

ASPARAGUS 

100.0 

0.11 

lOO.O 

0.03 

100.0 

0.33 

100.0 

0.47 

o.oos 

0.003 
0.004 
0.009 
0.012 
0.007 

0.002 


0.002 


0.04 
0.01 
0.01 
0.02 
0.03 
0.01 
0.01 
0.17 

0.02 
0.01 
0.03 


0.11 
0.03 
0.33 
0.47 


0.24 
0.05 
0.09 
0.23 
0.28 
0.09 

0.19 


0.26 


Organophosphales,  I  sample:  no  residues  delected 


BEANS,  DRY  (all  varieties) 


Organochlorines,  3  samples 

Dicofol  1 

Organophosphates,  3  samples: 


33.3 
no  residues  detected 


0.05 


0.15 


CLOVER  (Trifolium  sp.) 


Organochlorines,  8  samples 
Chlordane 
p,p'-DDE 
o.p'-DDT 
p.p'-DDT 
ZDDT 
Dieldrin 


25.0 
37.5 
50.0 
50.0 
50.0 


Dieldrin  5  62.5 

Organophosphates.  8  samples:  no  residues  detected 


0.02 
0.02 
0.03 
0.05 
0.10 
0.03 


0.008 
0.009 
0.014 
0.022 
0.031 
0.018 


0.07 
0.01 
0.01 
0.03 
0.04 
0.02 


0.10 
0.08 
0.07 
0.14 
0.29 
0.11 


CORN,  SWEET  (kernels) 


Organochlorines,  2  samples:  no  residues  detected 
Organophosphates,  2  samples:  no  residues  detected 


CORN  STALKS 


Organochlorines,  283  samples 

Alachlor                               1  0.3 

Chlordane                          17  6.0 

P.p'-DDE                           28  9.9 

o.p'-DDT                           37  13.1 

p.p'-DDT                           62  21.9 

P.p'-TDE                             2  0.7 

SDDT                               62  21.9 

Dieldrin                             99  35.0 

Endrin                                  3  l.I 

Hepiachlor                           1  0.3 

Hcptachlor  epoxide           14  5.0 

Hexachlorobenzene             1  0.3 

Toxaphene                           9  3.2 

Organophosphates,  247  samples 

Diazinon                              2  0.8 

Malathion                            3  1.2 

Phorate                                4  1.6 

Triazines,  16  samples;  no  residues  detected 


Organochlorines,  288  samples 
Chlordane  ■» 

o.p'-DDT 
P.P'-DDT 
vDDT 
Dieldrin 


0.7 
0.3 
0.7 
0.7 

2.8 


<0.01 

0.01 

<0.01 

<0.01 

0.02 

<0.01 

0.03 

0.01 

<0.01 

<0.01 

<0.01 

<0.01 

0.04 

<0.01 
<0.01 
<0.01 


FIELD  CORN  (kernels) 


0.002 
O.OOl 
0.002 
0.004 

<0.00l 
0.005 
0.005 

<0.001 

<0.001 

0.002 

<0.00l 
<0.00l 
<0.00I 


<0.01 
<0.0I 
<0.01 
<0.01 
<0.01 


<0.00l 

<0.00l 

<0.001 

0.001 


0.09 
0.02 
0.01 
0.01 
0.01 
0.01 
0.01 
0.01 
0.01 
0.01 
0.01 
0.02 
0.19 

0.04 
0.06 
0.01 


0.01 
0.03 
0.03 
0.03 
0.0 1 


0.41 
0.16 
0.25 
2.33 
0.01 
2.74 
0.29 
0.04 

0.06 

4.14 

0.10 
0.25 
0.02 


0.15 

0.07 
0.10 
0.21 


(Continued  next  page) 
222 


Pesticides  Monitoring  Journal 


TABLE  8   (Cont'd.).     Compound  concentrations  in  standing  agricultural  crops,  1972 — National  Soils  Monitoring  Program 


Residues,  ppm  dry  weight 

Extremes  of 

Positive  Detections 

Arithmetic 
Mean 

Estimated 

CiEOMElRir 

Detected  Values 

Compound              No. 

% 

Concentration 

Mean! 

Min. 

Max. 

Endrin                               2 

0.7 

<0.01 

<0.001 

0.01 

0.02 

Heptachlor                          1 

0.3 

<0.01 



0.02 

Heptachlor  epoxide          23 

8.0 

<0.01 

0.001 

0.01 

0.02 

PCNB                                  1 

0.3 

<0.01 

— 

0.01 

Organophosphates.  167  samples 

no  residues  detected 

Triazines,  12  samples:  no  residues  detected 

COTTON  STALKS 

Organochlorines,-  40  samples 

Chlordane                            6 

15.0 

0.05 

0.006 

0.15 

1.00 

o,p'-DDE                             1 

2.5 

<0.0I 

— 

0.13 

P.p'-DDE                          29 

72.5 

0.67 

0.089 

0.01 

8.89 

o.p-DDT                           28 

70.0 

0.79 

0.116 

0.01 

13.40 

p,p'-DDT                           38 

95.0 

7.36 

0.739 

0.02 

102.00 

p.p-TDE                            12 

30.0 

0.04 

0.010 

0.01 

0.41 

;:DDT                                  38 

95.0 

8.87 

0.913 

0.02 

115.79 

Dieldrin                                14 

35.0 

0.02 

0.008 

0.01 

0.19 

Endosulfan  sulfate              1 

2.5 

0.07 

— 

2.70 

Endrin                                  2 

5.0 

0.01 

0.002 

0.15 

0.15 

Heptachlor  epoxide            3 

7.5 

<0.01 

0.001 

0.01 

0.02 

Toxaphene                         28 

70.0 

25.44 

1.078 

0.66 

462.30 

Trifluralin                            1 

2.5 

<0.01 

— 

0.02 

Organophosphates,  40  samples 

Carbophcnothion                1 

2.5 

<0.01 

— 

0.08 

DEE                                   25 

62.5 

1.20 

0.069 

0.01 

24.19 

Diazinon                              1 

2.5 

<0.01 

— 

0.02 

Malathion                            4 

10.0 

0.03 

0.003 

0.01 

0.94 

Parathion.  ethyl                  5 

12.5 

0.01 

0.003 

0.01 

0.12 

Parathion.  methyl             16 

40.0 

0.15 

0.026 

0.02 

1.39 

Phorate                                1 

2.5 

<0.01 

— 

0.01 

COTTON  SEED 

Organochlorines.  38  samples 

P,p-DDE                           16 

42.1 

0.01 

0.008 

0.01 

0.12 

o,p'-DDT                           15 

39.5 

0.03 

0.012 

0.02 

0.19 

p,p'-DDT                           31 

81.6 

0.22 

0.082 

0.01 

1.40 

P.p'-TDE                             2 

5.3 

<0.01 

0.001 

0.04 

0.14 

ZDDT                                  31 

81.6 

0.27 

0,091 

0.01 

1.79 

Dieldrin                                 2 

5.3 

<0.01 

0.001 

0.01 

0.03 

Toxaphene                         20 

52.6 

0.49 

0.082 

0.20 

3.71 

Organophosphates,  32  samples 

DEE                                   13 

40.6 

0.09 

0.016 

0.02 

0.71 

Parathion,  methyl               2 

6.3 

<0.01 

0.001 

0.04 

0.05 

COTTON 

Organochlorines,  2  samples:  no 

residues  detected 

Organophosphates,  2  samples:  no  residues  detected 

SILAGE 

Organochlorines,  3  samples 

Chlordane                            1 

33.3 

0.05 

— 

0.16 

p.p-DDT                             1 

33.3 

<0.01 

— 

0.01 

VDDT                                 1 

33.3 

<0.01 

— 

0.01 

Organophosphates,  2  samples 

Diazinon                              1 

50.0 

0.05 

— 

O.Il 

Malathion                            1 

50.0 

1.32 

— 

2.64 

GRASS  HAY 

Organochlorines,  21  samples 

Chlordane                           2 

9.5 

0.01 

0.003 

0.09 

0.09 

o,p-DDT                           12 

57.1 

0.02 

0.014 

0.01 

0.08 

p,p'-DDT                           13 

61.9 

0.07 

0.033 

0.01 

0.23 

p.p-DDE                               9 

42.9 

0.02 

0.009 

0.01 

0.08 

2DDT                               13 

61.9 

0.11 

0.044 

0.01 

0.30 

Dieldrin                                 7 

33.3 

0.01 

0.006 

0.01 

O.U 

Toxaphene                           6 

28.6 

0.15 

0.020 

0.30 

1.19 

Organophosphates,  21  samples 

DEE                                        1 

4.8 

0.0 1 

— 

0.12 

Diazinon                              6 

28.6 

0.04 

0.011 

0.02 

0.34 

Malathion                            5 

23.8 

0.03 

0.007 

0.02 

0.22 

(Continued  next  page) 

Vol.  12,  No.  4,  March  1979 


223 


TABLE   8   (Cont'd.).     Compound  concenlration.s  in  stanclinf;  iif>riciillurtil  crops,  1972 — National  Soils  Monitoring  Program  • 


Positive  Detections 


Compound 


No. 


Residues,  ppm  dry  weight 


Arithmetic 

Mean 
Concentration 


Estimated 

Geometric 

Meani 


Extremes  of 
Detected  Values 


MiN. 


Max. 


LESPEDEZA   SERICEA 


Organochlorines,  I  sample 

p,p'-DDT  1 

i:DDT  I 

Dieldrin  1 

Endrin  1 

Toxaphene  1 

Organophosphales,  1  sample 

DEF  1 


lOO.O 
100.0 
100.0 
100.0 
100.0 

100.0 


O.IS 
0.15 
0.03 
0.02 
0.48 

0.15 


0.15 
0.15 
0.03 
0.02 
0.48 

0.15 


MILO 


Organochlorines,  3  samples 
p.p'-DDT  I 

P,p-DDE  1 

2  DDT  1 

Toxaphene 


Organophosphates.  2  samples:  no  residues  detected 


33.3 
33.3 
33.3 
33.3 


0.02 

<0.01 

0.02 

0.04 


PASTURE  FORAGE 


0.06 
0.01 
0.07 
0.13 


Organochlorines.  10  samples 
Chlordane  1 

o,p'-DDT  3 

p.p'-DDT  4 

p.p'-DDE  3 

I  DDT  4 

Dieldrin  4 

Toxaphene  2 

Organophosphates,  9  samples 
Diazinon  1 


10.0 

30.0 
40.0 
30.0 
40.0 
40.0 
20.0 

11.1 


0.05 
0.01 
0.08 
0.01 
0.10 
0.01 
0.15 

<0.01 


0.006 
0.021 
0.004 
0.026 
0.007 
0.014 


0.48 
0.02 
0.08 
0.01 
0.17 
0.01 
0.59 

0.01 


0.07 
0.40 
0.03 
0.40 
0.04 
0.86 


MIXED  HAY 


Organochlorines.  47  samples 

Chlordane  10 

o.p'-DDE  1 

p.p-DDE  21 

o.p'-DDT  23 

p.p'-DDT  26 

p.p'-TDE  I 

2  DDT  26 

Dieldrin  22 

Endrin  2 

Heptachlor  epoxide  1 

Organophosphates,  43  samples 

Diazinon  2 

Malathion  3 

Parathion,  methyl  1 

Phorate  1 


21.3 

2.1 

44.7 

48.9 

55.3 

2.1 

55.3 

46.8 

4.3 

2.1 

4.6 
7.0 
2.3 

2.3 


0.03 

<0.01 

0.02 

0.02 

0.04 

<0.01 

0.08 

0.02 

<0.01 

<0.01 

<0.01 
<0.01 
<0.01 
<0.01 


0.008 

0.008 
0.009 
0.019 

0.027 

0.012 

<0.001 


<0.001 
0.001 


0.05 
0.04 
0.01 
0.01 
0.01 
0.02 
0.02 
0.01 
0.01 
0.05 

0.01 
0.02 
0.01 
0.02 


0.44 

0.13 
0.12 
0.44 

0.69 
0.11 
0.01 


0.02 
0.09 


PEANUTS 


Organochlorines,  9  samples 
p.p'-DDE  2 

2  DDT  2 

Toxaphene  6 

Organophosphates,  3  samples: 


22.2 
22.2 
66.7 
no  residues  detected 


<0.01 

<0.01 

0.25 


0.003 
0.003 
0.100 


0.02 
0.02 
0.17 


0.02 
0.02 
0.65 


PEANUT  VINES 


Organochlorines,  2  samples 
p.p'-DDT  1 

2  DDT  1 

Dieldrin  2 

Toxaphene  1 

Organophosphates,  2  samples: 


50.0 

SO.O 

100.0 

50.0 

no  residues  detected 


0.42 

0.42 

0.21 

106.82 


0.102 


0.85 

0.85 

0.02 

213.65 


0.41 


PEAS  (all  varieties) 


Organochlorines,  I  sample:  no  residues  detected 
Organophosphates,  I  sample:  no  residues  delected 


PECANS 


Organochlorines.  I  sample:  no  residues  detected 
Organophosphates,  I  sample:  no  residues  detected 


(Continued  next  page) 
224 


Pesticides  Monitoring  Journal 


TABLE  8   (Cont'd.).     Compound  concenlnilions  in  standing  agrkultiinil 


crops,  1972 — National  Soils  Monitoring  Program 


Residues,  ppm  dry  weight 


Positive  Detections 


Compound 


No. 


Arithmetic 

Mean 
Concentration 


Estimated 
Geometric 

Mean  ^ 


RYE 


Organochlorines,  1  sample 
Chlordane  1  lOO.O 

Dieldrin  1  100.0 

Organophosphates,  1  sample;  no  residues  detected 


0.08 
0.02 


Extremes  of 
Detected  Values 


MiN. 


0.08 
0.02 


Max. 


SORGHUM  (grain) 


Organochlorines,  14  samples 


o,p'-DDT 

1 

p.p'-DDT 

5 

p,p'-DDE 

2 

2DDT 

5 

Dieldrin 

2 

Organophosphates,  11 

samples 

Malalhion 

2 

Parathion,  ethyl 

1 

Parathion,  methyl 

1 

Phorate 

1 

7.1 
35.7 
14.3 
35.7 
14.3 

18.2 
9.1 
9.1 
9.1 


<0.01 
0.01 

<0.01 
0.01 

<0.01 

0.03 
<0.01 
<0.01 
<0.01 


0.006 
0.001 
0.006 
0.001 

0.006 


0.02 
0.01 
0.01 
0.01 
0.01 

0.04 
0.03 
0.01 
0.01 


0.07 
0.02 
0.10 
0.01 

0.29 


SORGHUM  STALKS 


Organochlorines,  18  samples 

Chlordane  1 

o.p'-DDT  5 

p.p'-DDT  8 

p.p'-DDE  6 

p.p'-TDE  1 

2  DDT  8 

Dieldrin  5 

Toxaphene  1 

Organophosphates,  15  samples 

Malathion  3 

Parathion,  ethyl  1 


5.6 
27.8 
44.4 
33.3 

5.6 
44.4 
27.8 

5.6 

20.0 
6.7 


0.01 
0.01 

0.02 
0.01 
<0.01 
0.04 
0.01 
0.01 

0.02 
<0.01 


0.004 
0.012 
0.004 

0.017 
0.004 


0.006 


0.15 
0.01 
0.03 
0.01 
0.07 
0.04 
0.01 
0.25 

0.06 
0.02 


0.03 
0.11 
0.04 

0.20 
0.05 


0.13 


SUGAR  BEET  TOPS 


Organochlorines,  1  sample:  no  residues  detected 


SOYBEANS 


Organochlorines,  199  samples 

Chlordane 

1 

0.5 

o.p'-DDT 

1 

0.5 

p.p-DDT 

12 

6.0 

p.p'-TDE 

1 

0.5 

2DDT 

13 

6.5 

Dieldrin 

47 

23.6 

Endrin 

16 

8.0 

Heptachlor 

1 

0.5 

Heptachlor  epoxide 

8 

4.0 

Toxaphene 

12 

6.0 

Organophosphates.  66  sa 

mples 

no  residues  detected 

<o.oi 
<o.oi 

<0.01 
<0.01 
<0.01 
<0.01 
<0.0I 
<0.01 
<0.0I 
0.01 


0.001 

0.001 
0.002 
0.001 

<0,00I 
0.002 


0.07 
0.02 
0.01 
0.18 
0.01 
0.01 
0.01 
0.01 
0.01 
0.14 


0.07 

0.18 
0.04 
0.21 

0.03 
0.38 


SOYBEAN  HAY 


Organochlorines.  1  sample 
o.p'-DDT 
p.p'-DDT 
p.p'-DDE 
i;DDT 
Dieldrin 
Toxaphene 


100.0 

0.32 

100.0 

1.43 

100.0 

0.18 

100.0 

1.93 

100.0 

0.05 

100.0 

3.52 

SUGARCANE 

0.32 
1.43 
0.18 
1.93 
0.05 
3.52 


Organochlorines.  2  samples;  no  residues  detected 
Organophosphates.  2  samples:  no  residues  detected 


SWEET  SORGHUM  (grain) 


Organochlorines,  2  samples 
p.p'-DDT  1 

2DDT  1 

Dieldrin  1 

Toxaphene  1 


50.0 
50.0 
50.0 
50.0 


-  0.07 
0.07 

<0.01 
0.18 


0.14 
0.14 
0.01 
0.37 


(Continued  next  page) 

Vol.  12,  No.  4,  March  1979 


225 


TABLE  8  (Cont'd.).     Compound  concentrations  in  standing  agricultural  crops,  1972 — National  Soils  Monitoring  Program- 

Residues,  ppm  dry  weight 


Positive  Detections 


Compound 


No. 


% 


Arithmetic 

Mean 

Concentration 


Estimated 

Geometric 

Mean' 


Extremes  of 
DETF.CTED  Values 


MiN. 


Max. 


TOBACCO 


Organochlorines,  2  sampl 

o.p'-DDT 

p,p'-DDT 

p.p'-DDE 

2DDT 

Dieldrin 

Endrin 

Toxaphene 
Organophosphales.  I  sample 

Diazinon 


1 


50.0 
100.0 

50.0 
100.0 
100.0 

50.0 
100.0 

100.0 


0.03 
0.48 
0.02 
0.54 
0.04 
0.01 
2.62 

0.01 


0.385 


0.490 
0.043 


2.520 


0.07 
0.19 
0.05 
0.31 
0.03 
0.02 
1.89 

0.01 


0.77 


0.77 
0.06 


3.36 


^  Not  calculated  when  fewer  than  two  positive  detections  present. 

-Although  trifluralin  is  a  dinitroaniline  compound,  it  is  detected  by  the  organochlorine   methodology   and   thus   appears   with  organochlorines  in 
Tables  2-7. 


detections  was  in  the  0.01-0.25-ppm  category,  except  lor 
toxaphene,  which  was  in  the  1.01-5.00-ppm  category. 

By  State — Pesticide  concentrations  in  soils,  by  states  or 
state  groups,  are  presented  in  Table  5.  Because  some 
small  eastern  states  had  very  few  sites,  those  with  similar 
geographic  locations  and/or  agricultural  characteristics 
were  combined  to  obtain  more  representative  data.  State 
groups  used  were  Mid-Atlantic:  Delaware.  Maryland, 
and  New  Jersey;  New  England:  Connecticut,  Maine, 
Massachusetts,  New  Hampshire,  Rhode  Island,  and  Ver- 
mont; and  Virginia  and  West  Virginia. 

Comparisons  of  the  percent  occurrence  of  aldrin,  diel- 
drin, heptachlor  epoxide,  2DDT,  and  chlordane  are 
presented  in  Figures  2-6.  The  key  for  each  figure  is 
based  on  the  arithmetic  mean  percent  occurrence  (x)  of 
the  compound  for  all  sites.  The  four  classes  are:  greater 
than  2x,  greater  than  x  but  less  than  2x,  greater  than 
Vix  but  less  than  x,  and  less  than  Vix. 

Illinois  sites  had  the  highest  percent  occurrence  of  al- 
drin, dieldrin,  chlordane,  and  heptachlor  epoxide  (Fig- 
ures 2-6).  These  compounds  are  soil  insecticides,  or 
their  degradation  products,  used  in  corn  production.  The 
1972  results  generally  correspond  with  results  of  the 
previous  years  for  this  Program  {2.4,  7).  -DDT  detec- 
tions were  concentrated  in  the  southeastern  states  and 
California  (Fig.  5).  Oklahoma,  Pennsylvania,  South 
Dakota,  and  Wisconsin  were  generally  below  the  all-sites 
average  detection  frequency  for  the  compounds. 

The  detection  of  ronnci  in  soil  from  one  site  in  Alabama 
(Table  5)  was  unusual.  Ronnci  is  used  to  control  flies, 
ticks,  and  gnats  on  domestic  animals  and  in  animal 
quarters.  A  thorough  examination  of  the  cropping  and 
pesticide  application  record   for  that  site  revealed   no 


pesticide  applications  during  the  growing  season.  How- 
ever, the  site  was  being  used  as  a  cattle  pasture,  and  the 
chemical  was  probably  transferred  to  the  soil  by  treated 
cattle. 

COMPOUND  CONCENTRATIONS  IN  CROPS 

Mature  crop  samples  were  collected  from  737  sites,  or 
48  percent  of  the  scheduled  1,533  sites.  All  crop  sam- 
ples were  analyzed  for  organochlorines,  including  tri- 
fluralin. In  addition,  samples  were  analyzed  for  or- 
ganophosphates  and  atrazine  when  pesticide  application 
records  indicated  their  use.  Thus  the  organophosphate 
and  atrazine  concentration  data  samples  are  biased,  and 
yield  higher  occurrence  frequencies  than  might  other- 
wise occur  if  all  samples  had  been  analyzed. 

Table  6  lists  the  occurrence  of  pesticide  residues  in  crop 
materials  sampled.  For  all  crops,  40  percent  of  the 
1 ,045  samples  analyzed  contained  detectable  concentra- 
tions of  organochlorines  and  10  percent  contained  de- 
tectable amounts  of  organophosphates.  Atrazine  was 
not  detected.  In  general,  crops  with  known  patterns  of 
heavy  pesticide  application,  or  animal  feed  crops  such  as 
alfalfa,  hay,  field  corn,  or  soybeans  grown  in  rotation 
with  these  crops,  had  the  highest  detection  frequencies. 

Table  7  presents  the  occurrence  of  organochlorines  in 
field  corn  kernels,  soybeans,  and  mixed  hay  for  each 
state  or  state  group  sampled.  Residue  detections  varied 
most  in  field  corn.  Not  enough  samples  were  available 
to  draw  broad  conclusions  about  mixed  hay. 

Table  S  presents  the  compound  concentrations  detected 
in  each  crop  sampled.  -DDT  occurred  most  frequently 
in  all  crops  except  corn  stalks,  where  dieldrin  residues 
were  predominant.  The  high  frequency  of  occurrence 
of  -DDT  is  probably  the  result  of  its  prior,  widespread 
use. 


226 


Pesticides  Monitoring  Journal 


••*»ir:- 


'■?'»•: 


\ 

■ra,'.:.--.-.-.-:.-..:-* 

'■-:.■■'.■'.■'■•■:>■'.■;'.'< 

^^•'-  '■•., 'I--;  ■.'.•."■.'.■.• 

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HEX. 

3 

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■::'.:y\ 

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^^^<  1/2  X 

FIGURE  2.     Percent  occurrence  of  aldrin  residue  detections  in  cropland  soil  of  37  states,  hy  slate,  1972 

— National  Soils  Monitoring  Program 


1. 1'.' •■■■',' ..J 


FIGURE  3.     Percent  occurrence  of  dieldrin  residue  detections  in  cropland  soil  of  37  stales,  hy  state,  1972 

— National  Soils  Monitoring  Program 


Vol.  12,  No.  4,  March  1979 


227 


X       < 

'/2x     <^^<     X 


P^?S?^<     1/2  i 


FIGURE  4.     Percent  occurrence  of  heptachlor  epoxide  residue  detections  in  cropland  soil  of  37  states,  by  state,  1972 

— National  Soils  Monitoring  Program 


2x 




ytftr.:/.-; 
y,'J.)k  ■'■■":■ 

\'-'\ 

:'~i-\'[: 

^ 

^ 

«^ 

^ 

uy 

'•.v;C'-- 

^ 

coio. 

•.•■.•'•; 

-■'^■:^^ 

fr^ 

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ti 

rn 

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FIGURE  5.     Percent  occurrence  of  ZDDT  residue  detections  in  cropland  soil  of  37  stales,  by  state,  1972 

— National  Soils  Monitoring  Program 


228 


Pesticides  Monitoring  Journal 


1/2  X  <  C 


FIGURE  6.     Percent  occurrence  of  chlordane  residue  detections  in  cropland  soil  of  37  states,  by  state,  1972 

— National  Soils  Monitoring  Program 


Acknowledgments 
It  is  not  possible  to  list  by  name  all  persons  who  con- 
tributed to  this  study.  The  authors  are  especially  grate- 
ful to  the  staff  of  the  Pesticides  Monitoring  Laboratory, 
Bay  St.  Louis,  Mississippi,  who  received,  processed,  and 
analyzed  samples  for  compojnd  residues,  and  to  the 
inspectors  of  the  Animal  and  Plant  Health  Inspection 
Service,  U.S.  Department  of  Agriculture,  who  collected 
the  samples. 

LITERATURE  CITED 

(/)  Carey.  A.  E.,  and  J.  A.  Gowen.  1978.  Pesticide  appli- 
cation and  cropping  data  from  37  states,  1972 — Na- 
tional Soils  Monitoring  Program.  Pestic.  Monit.  J. 
12(3):137-I48. 

(2)  Carey,  A.  E.,  J.  A.  Gowen,  H.  Tai,  W.  G.  Mitchell,  and 
G.  B.  Wiersma.  1978.  Pesticide  residue  levels  in  soils 
and  crops,  1971 — National  Soils  Monitoring  Program 
(III).   Pestic.  Monit.  J.  12(3) :  1 17-136. 

(3)  Carey.  A.  £.,  G.  B.  Wiersma.  H.  Tai.  and  W.  G.  Mit- 
chell. 1973.    Organochlorine  pesticide  residues  in  soils 


and  crops  of  the  corn  belt  region,  United  States — 1970. 
Pestic.  Monit.  J.  6(4)  :369-376. 

(4)  Crockett.  A.  B..  G.  B.  Wiersma,  H.  Tai,  W.  G.  Mit- 
chell, P.  F.  Sand,  and  A.  E.  Carey.  1974.  Pesticide 
residue  levels  in  soils  and  crops,  FY-70 — National 
Soils  Monitoring  Program  (II).  Pestic.  Monit.  J. 
8(2):69-97. 

(5)  Panel  on  Pesticide  Monitoring.  1971.  Criteria  for  de- 
fining pesticide  levels  to  be  considered  an  alert  to  poten- 
tial problems.   Pestic.  Monit.  J.  5(1):36. 

(6)  U.S.  Environmental  Protection  Agency.  1973.  PM 
Memorandum  No,  3.  Sample  Collection  Manual.  Guide- 
lines for  collecting  field  samples:  soil,  crops,  water, 
sediment.   71  pp. 

(7)  Wiersma.  G.  B.,  H.  Tai.  and  P.  F.  Sand.  1972.  Pesti- 
cide residue  levels  in  soils,  FY-69 — National  Soils 
Monitoring  Program.    Pestic.  Monit.  J.  6(3) :  194-228. 

(8)  Wiersma,  G.  B..  P.  F.  Sand,  and  E.  L.  Cox.  1971.  A 
sampling  design  to  determine  pesticide  residue  levels  in 
soils  of  the  conterminous  United  States.  Pestic.  Monit. 
J.  5(l):63-66. 


Vol.  12,  No.  4,  March  1979 


229 


Organochlorine  Pesticide  Residues  in  Soils  from  Six  U.S.  Air  Force  Bases,  1975-76 

Jerry  T.  Lang,'  Leopoldo  L.  Rodriguez,-  and  James  M.  Livingston  " 


ABSTRACT 

Soil  samples  coUcctcd  during  1975  and  1976  from  United 
States  Air  Force  installations  in  California,  Georgia,  Ohio, 
Oklahoma,  Texas,  and  Utah  were  analyzed  for  organochlo- 
rine pesticide  residues.  :s.DDT,  chlordane,  and  dieldrin  were 
the  pesticides  most  commonly  found.  In  1975,  ZDDT  resi- 
dues were  significantly  higher  in  samples  from  residential 
areas  than  in  samples  from  golf  courses  or  areas  free  of 
pesticide  application.  Chlordane  residues  in  1975  were  sig- 
nificantly liighcr  in  both  residential  and  golf  course  areas 
than  in  areas  where  pesticides  had  not  been  used.  No  sig- 
nificant differences  were  found  in  1976  in  residue  levels  of 
any  pesticide  monitored  among  various  land  use  areas. 


cm)  with  a  j-inch  (7. 6-cm) -diameter  bulb  planter. 
Twenty  core  samples  from  each  site  were  composited  in 
a  plastic  bucket,  thoroughly  mixed  by  hand,  and  poured 
back  and  forth  into  a  similar  bucket.  The  composite 
sample  was  sieved  through  'i-inch  (6.4-mm)  hardware 
cloth  to  remove  large  particles  and  debris.  A  subsample 
of  the  composite  sample  was  placed  in  a  clean  hexane- 
rinsed  8-oz  (240-ml)  amber  glass  salve  jar.  Salve  jars 
were  capped  with  aluminum  foil-lined  lids  and  sub- 
samples  were  kept  frozen  until  being  prepared  for  analy- 
sis. All  sampling  equipment  was  thoroughly  rinsed  with 
water  after  each  stratum  was  sampled  to  avoid  cross 
contamination. 


Introduction 

In  1975,  the  United  States  Air  Force  Occupational  and 
Environmental  Health  Laboratory  at  Kelly  Air  Force 
Base,  Texas,  initiated  a  two-year  pilot  pesticides  monitor- 
ing program  to  gather  preliminary  data  on  organochlo- 
rine residues  in  soils  and  sediments  from  Air  Force  bases 
and  to  determine  the  feasibility  of  developing  a  full-scale 
Air  Force  pesticides  monitoring  program.  Only  the  base- 
line data  on  soil  samples  are  discussed  here.  The  feasi- 
bility study  and  the  baseline  data  for  sediment  samples 
have  been  discussed  elsewhere  by  Lang  (4). 

Sample  Collection  and  Preparation 

Six  Air  Force  Logistics  Command  bases  were  sampled, 
including  Hill  AFB,  Utah;  Kelly  AFB,  Texas:  McClellan 
AFB,  California:  Robins  AFB,  Georgia:  Tinker  AFB, 
Oklahoma;  and  Wright-Patterson  AFB,  Ohio.  All  bases 
represent  urban  environments  with  substantial  indus- 
trialization and  histories  of  considerable  pesticide  use. 

Soil  samples  were  collected  from  residential,  open  or 
nonuse,  and  golf  course  areas.  Core  samples  from  each 
use  stratification  were  taken  from  the  top  3  inches  (7.6 


'  Present  address:  Chief.  EntDmology  Services.  OL-AD.  U.S.  Air  Force 
Occupatii>naI  and  Fnvironmenlal  Health  Laboratory.  APO  San  Fran- 
cisco. CA  96274.  7he  opinions  and  assertions  contained  herein  arc 
those  of  the  authors  and  are  not  to  be  construed  as  the  views  of 
the  Departtrent  of  the  Air  Force. 

^U.S.  Air  Force  Occupational  and  Environmental  Health  Faboratory, 
Brooks  Air  Force  Base,  TX  782.15. 


At  each  residential  sampling  site,  10  individual  core 
samples  were  taken  from  both  sides  of  randomly  selected 
streets.  At  those  sites  with  sidewalks,  all  samples  were 
taken  within  1  ft  (30.5  cm)  of  the  sidewalk  in  the 
direction  of  the  house.  At  sites  without  sidewalks,  sam- 
ples were  taken  approximately  4  ft  (1.37  m)  from  the 
street.  At  each  open  sampling  site,  10  core  samples  were 
collected  at  45-ft  (13.7-m)  intervals  along  two  parallel 
straight  lines  45  ft  (13.7  m)  apart  which  originated  at 
a  randomly  selected  point.  Golf  course  samples  were  col- 
lected from  random  starting  points  at  45-ft  (13.7-m) 
intervals  along  both  sides  of  the  fairway  at  the  edge  of 
the  rough. 

A  Italy  tical  Procedures 

I'RFPARATION  OF  SAMPLES 

Two  grams  of  dry-sieved  subsample  (sieve  size  No.  14) 
were  placed  in  a  15-ml  test  tube  with  a  Teflon-lined 
screw  cap,  and  10  ml  3: 1  hexane-isopropanol  was  added. 
Tubes  were  rotated  for  4  hours,  and  the  subsample  was 
centrifuged.  The  solution  was  transferred  to  a  60-ml 
separatory  funnel  and  washed  three  times  with  water 
to  remove  the  alcohol.  The  solution  was  dried  with 
anhydrous  sodium  sulfate,  the  solvent  was  reduced  by 
evaporation,  and  the  sample  was  cleaned  by  passage 
through  a  Florisil  microcolumn.  Subsample  extracts  were 
stored  at  low  temperature  for  subsequent  gas-chromat- 
ographic  (GC)  analysis. 


230 


Pesticides  Monitoring  Journal 


GAS  CHROMATOGRAPHY 

The  analytical  procedures  were  basically  the  same  as 
those  described  by  Wiersma  et  al.  (6).  Samples  were 
analyzed  for  organochlorines  and  PCBs  with  a  Tracor 
Model  222  gas  chromatograph  equipped  with  two  Ni-63 
electron-capture  detectors  (EC)  and  four  glass  columns. 
Two  sets  of  polar  and  nonpolar  columns  were  used  to 
identify  and  confirm  the  organochlorine  pesticides  and 
PCBs.  The  gas  chromatograph  was  equipped  with  a 
Model  8000  Varian  Auto  Sampler  and  interfaced  with  a 
Model  3354  Hewlett-Packard  Data  System.  Instrument 
parameters  and  operating  conditions  follow: 


Columns:  glass.  6  ft   long.  6  mm  OD    X    4  mm   ID, 

packed  with 
(1)3  mixture  of   1.5  percent  SP-2250  and   1.95 

percent  SP-2401  on  100-120-mesh  Supelcon. 

AW,  DMCS 
(2)   a  mixture  of  4  percent  SE-30  and  6  percent 

SP-2401    on     100-1 20-me5h    Supelcon,    AW, 

DMCS 
Temperatures,  °C:  detector  300 

injection  port    225 

column  200 

Carrier  gas:  5-10   percent    methane-argon    flowing    at    60 

ml/minute 


Compounds  and  their  quantitative  detectable  levels  are 
listed  in  Table  1.  Minimum  detectable  levels  of  organo- 
chlorine pesticides  were  0.01-2.00  mg/kg. 

RECOVERY  STUDIES 

Recovery  of  the  components  listed  in  Table  1  ranged 
from  91  to  102  percent.  Data  presented  in  Tables  2  and 
3  were  not  corrected  for  recovery. 

Results  and  Discussion 

Because  a  similar  data  pattern  emerged  on  each  base, 
data  for  a  given  year  on  the  same  pesticide  on  the 
same  land  use  area  were  combined  from  all  six  bases 
(Table  2).  i;DDT  residues  were  the  most  ubiquitous 
organochlorines  on  the  six  bases  (Table  2).  2DDT  resi- 
dues were  also  quantitatively  higher  overall  than  were 
residues  of  any  other  organochlorine  except  chlordane, 
which  in   1975  had  arithmetic  mean  levels  consistently 


TABLE    1.     Qitanlitative  detection  limits  of  organochlorines 
found  in  soils  of  six  U.S.  Air  Force  bases,  1975-76 


Compound 


Residue,  ppm 


2  DDT 

Aldrin 

Heptachlor 

Lindane 

Toxaphene 

Chlordane 

Dieldrin 

Endrin 

Heptachlor  epoxide 

Methoxychor 

PCBs 


0.05 
0.01 
0.01 
0.01 
2.00 
0.20 
0.02 
0.02 
0.01 
0.04 
0.40 


O 


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Vol.  12,  No.  4,  March  1979 


231 


TABLE  3.     Geometric  means  and  9!!  percent  confidence  intervals  for  pooled  -DDT.  chlordanc 

from  use-stratified  areas  on  six  U.S.  Air  Force  bases — 1975-76 


and  dicldrin  residue  data 


2  DDT 


Chlordane 


DiELDRIN 


AKEA 

95^0  CI 
Lower 

Mean 

95%  CI 
Upper 

95%  CI 

Lower                Mean 

95%  CI 
Upper 

95%  CI 
Lower 

Mean 

95%  CI 
Upper 

1975  Residues,  ppm 

Residential 
Open 
Golf  course 

0.0791 
0.0124 
0.0347 

0.2276'" 
0.0235"" 
0.0599"'> 

0.6549 
0.0443 
0.1033 

0.0440                0.1875"" 
0.0091                0.0158"" 
0.0338                0.1049"" 

0.7153 
0.0275 
0.3253 

0.0100 
0.0089 
0.0091 

0.0246"" 
0.0119"" 
0.0122"" 

0.0606 
0.0159 
0.0163 

1976  Residues,  ppm 

Residential 
Open 
Golf  course 

0.0257 

0.0134 
0.0110 

0.0782'"> 
0.0361'"' 
0.0437'-) 

0.2382 
0.0960 
0.1729 

0.0033                0.0150'«> 
0.0100                0.0182i«> 
0.0084                0.0320"» 

0.0694 
0.0329 
0.1218 

0.0094 
0.0099 
0.0089 

0.0117"" 
0.0129"" 
0.0110"" 

0.0145 
0.0157 
0.0136 

NOTE:   For  a  given  year,  means  in  a  vertical  column  followed  by  the  same  letter  are  not  significantly  different  at  the  5  percent  level. 


higher  than  -DDT.  The  high  arithmetic  mean  for  chlor- 
dane residues  in  residential  areas  during  1975  was 
mainly  attributable  to  the  high  levels  found  at  Wright- 
Patterson  AFB.  This  finding  is  notable  in  light  of  past 
problems  with  chlordane  contamination  in  Capehart 
housing  units  on  Wright-Patterson  (7,  2).  Except  for 
chlordane  levels  found  in  residential  soils  in  1975,  the 
arithmetic  means  shown  in  Table  2  closely  appro.vimate 
mean  levels  of  the  same  pesticides  in  various  nonmilitary 
urban  areas  of  the  United  States  (i). 


data.  Therefore,  standard  t-tests  were  used  to  compare 
mean  differences  in  -DDT  data,  and  t'-tests  (5)  were 
used  on  the  chlordane  data. 


In  1975,  -DDT  residues  were  significantly  higher  in  resi- 
dential areas  than  in  open  and  golf  course  areas.  Chlor- 
dane levels  were  significantly  higher  in  both  residential 
and  golf  course  areas  than  in  open  areas.  There  was  no 
significant  difference  in  chlordane  levels  between  resi- 
dential and  golf  course  areas. 


Since  residue  data  are  not  normally  distributed,  the 
arithmetic  means  in  Table  2  are  useful  for  comparison 
only  in  a  relative  sense.  Therefore,  the  more  statistically 
useful  geometric  means  and  associated  95  percent  con- 
fidence limits  based  on  data  normalized  with  the  In 
{X  4-  0.01)  transformation  discussed  by  Carey  et  al. 
(i)  are  given  in  Table  3  for  the  three  most  ubiquitous 
pesticides:  -DDT,  chlordane,  and  dieldrin. 

To  obtain  an  overall  picture  of  the  data,  a  three-factor 
analysis  of  variance  was  used  to  evaluate  pesticide  by 
land  use  by  year  interactions.  The  only  significant  inter- 
action was  for  land  use  areas  between  the  two  years. 
Further  examination  showed  that  only  the  residential 
area  means  for  1975  and  1976  differed  significantly 
{P  <  0.001).  There  was  no  significant  difference  for 
the  open  area  means  (P  <  0.10)  and  only  an  indication 
of  a  difference  for  the  golf  course  means  (P  <  0.10). 

One-way  analyses  of  variance  were  used  to  evaluate  data 
on  a  particular  pesticide  during  a  given  year.  Significant 
F  values  were  found  only  for  -DDT  and  chlordane  in 
1975.  Bartlett's  test  (5)  was  used  to  check  homogeneity 
of  variances  in  the  two  cases.  Variances  were  homo- 
geneous for  the  -DDT  data  but  not  for  the  chlordane 


Large  differences  between  1975  and  1976  2DDT  and 
chlordane  data  (Table  3)  are  puzzling.  From  what  is 
known  generally  of  organochlorine  degradation  rates, 
microbial  or  other  forms  of  degradation  could  not  ac- 
count for  the  decreases  in  2DDT  and  chlordane  levels 
between  1975  and  1976.  The  most  likely  explanation 
for  the  rather  drastic  reduction  in  -DDT  residues  in  resi- 
dential areas  and  chlordane  residues  in  residential  and 
golf  course  areas  between  1975  and  1976  is  the  irregular 
distribution  of  pesticide  residues  in  the  environment  and 
the  relatively  small  number  of  samples  collected  from 
each  land  use  area. 


Conclusions 

Organochlorine  residues  on  the  six  Air  Force  installa- 
tions generally  were  the  same  generic  type  and  quantity 
as  those  found  in  nonmilitary  urban  environments. 
-DDT  residues  were  the  most  abundant  followed  by 
chlordane  and  dieldrin.  Residential  areas  generally  were 
contaminated  more  heavily  with  organochlorincs  than 
were  open  or  nonuse  and  golf  course  areas.  Large 
variations  between  1975  and  1976  data  on  some  pesti- 
cides indicate  that,  if  the  Air  Force  program  is  contin- 
ued, more  samples  should  be  taken  from  each  sampling 
site  and  increased  emphasis  should  be  placed  on  sampling 
protocol  to  ensure  the  gathering  of  comparative  data. 


232 


Pesticides  Monitoring  Journal 


LITERATURE  CITED 

(/)  Air  Force  Logistics  Command  Headquarters.  1975. 
Summary  and  comparison  of  two-hour  baseline  chlor- 
dane  air  sampling  results  from  Air  Force  military 
family  housing  (AF  MFH).  Office  of  the  Surgeon, 
Wright-Patterson  Air  Force  Base,  Ohio,  62  pp. 

(2)  Air  Force  Logistics  Command  Headquarters.  1976. 
Report  on  four  chlordane  sampling  protocols  conducted 
in  military  family  housing  at  Wright-Patterson  AFB, 
Ohio.  Office  of  the  Surgeon,  Wright-Patterson  Air 
Force  Base,  Ohio,  136  pp. 

(.?)   Carey,  A.  E..  G.  B.  IViersma,  and  H.  Tai.  1976.  Pesti- 


cide   residues    in    urban    soils    from    14    United    States 
cities,  1970.  Pestic.  Monit.  J.  10(2)  :54-6(). 

(4)  Lang.  J.  T.  1978.  USAF  Occupational  and  Environ- 
mental Health  Laboratory,  Tech.  Repl.  78-33,  Evalua- 
tion of  the  USAF  pesticides  monitoring  pilot  program, 
1975-1976. 

(5)  Snedecor,  G.  W..  and  W.  G.  Cochran.  1967.  Statistical 
Methods  (6th  ed.).  Iowa  State  University  Press,  Ames, 
Iowa.  593  pp. 

(6)  Wiersma.  G.  B.,  H.  Tai.  and  P.  F.  Saiul.  1972.  Pesticide 
residue  levels  in  soils,  FY  1969 — National  Soils  Mon- 
itoring Program.  Pestic.   Monit.  J.  6(3) :  194-201. 


Vol.  12,  No.  4,  March  1979 


233 


APPENDIX' 


Chemical  Names  of  Compounds  Discussed  in  This  Issue 


ACEPHATE 
ALDRIN 

CHLORDANE 

DDE 

DDT 

DELNAV 

DIAZINON 

DIELDRIN 

DURSBAN 

ENDRIN 

ETHION 

HCB 

HEPTACHLOR 

HEPTACHLOR  EPOXIDE 

LINDANE 

MALATHION 

METHAMIDOPHOS 

MIREX 

NONACHLOR 

OXYCHLORDANE 

PCBs  {Polychlorinaicd  Biphenyls) 

TDE 

TOXAPHENE 

TRITHION 


O, ^-Dimethyl  acetylphosphoramidolhioaie 

Not  less  than  95%  of  l,2.3.4.10.IO-hexachloro-I,4,4a,5.8,8a-hexahydro-l.4:5,8-dimcihanonaph- 
ihalene 

1.2,3.4,5.6,7,8.8-Ociachloro-2,3,3a,4,7.7a-hexahydro-4.7-meihanoindene.  The  technical  product 
is  a  mixture  of  several  cotiipounds  including  heptachlor,  chlordene,  and  two  isomeric  forms 
of  chlordane. 

Dichlorophenyl  dichloro-ethyletic  (degradation  product  of  DDT);  />,//-DDE:  I .l-Dichloro- 
2.2-bis{/J-chloIophe^yl)  ethylene;  *>.//-DDE:  1 .1 -Dich!oro-2-(o-chlorophenyl)-2-(/;-chIorophenyl) 
ethylene 

Main  component  {p,p'-DDT) :  n-Bist/j-chlorophenyl )  /i,/?./i.-trichloroethane.  Other  isomers 
are  possible  and  some  are  present  in  the  commercial  product.  ri.p'-DDT:  [l.l,l-Trichloro-2- 
(o-chlorophenyl)-2-(p-chlorophenyl)  ethane] 

2,3-p-DiozanedithioI  5..y-bis  (0,0-diethyl  phosphorodiihioate) 

O.O-Diethyl  0-{2-isopropyl-6-melhyl-4-pyrimidinyI }  phosphorothioate 

Not  less  than  85%  of  1.2, .1.4,10. 10-Hexachloro-6,7-epoxy-l.4,4a. 5,6, 7:8.8a-octahydro-l,4- 
e«rfo-e>:o-5,8-dimethanonaphthalene 

0,0-Dielhyl  0-(  3,5,6-trichloro-2-pyridyl ) 

Hexachloroepoxyoctahydro-f«(io.i'/if/o-dimethano-naphthalene 

O,O,0'.O'-Telraethyl  5,5'-methylene  bisphosphorodithioate 

Hexachlorobenzene 

1.4,5.6,7,8,8-Heptachloro-.1a,4.7,7a-tetrahydro-4.7-ra</()-methanoindene 

I,4,5.6,7,8,8-Heptachloro-2.3-epoxy-.3a,4,7,7a-tetrahydro-4.7-methanoindcne 

Gamma  isomer  of  1.2,3,4.5,6-hexachlorocyclohexane 

O.O-Dimethyl  dithiophosphate  of  diethyl  mercaptosiiccinale 

0,.y-Dimethyl  phosphoramidolhioate 

l.la.2,2,3,3a,4.5,5,5a,5b,6-Dodecachlorooctahydro-l,3,4-metheno-IW-cyclobula|cdlpcntalcne 

1.2.3,4,5.6,7,8-Nonachlor-3a.4,7.7a-tetrahydro-4,7-methanoindan 

2,3,4,5,6,6a,7,7-Octachlor<)-la,lb.5.5a.6,6a-hexahydro-2.5-methano-2//-indenot  1.2-/*)oxirene 

Mixtures  of  chlorinated  biphenyl  compounds  having  various  percentages  of  chlorine 

2.2-Bis(p-chlorophenyl)-1.1-dichloroethane  (including  isomers  and  dehydrochlorination  products) 

Chlorinated  camphenc  (67-69%  chlorine).  Product  is  a  mixture  of  polychlor  bicyclic  terpenes 
with  chlorinated  camphenes  predominating. 

.V-l((p-ChlorophenyI  )thioIniethyl|  0,O-dicthyl  plnisphorodithioate 


'Docs  not  include  compounds  listed  only  in  Carey  and  Gowen  and  in  Carey  el  al. 


234 


Pesticides  Monitoring  Journal 


ERRATA 

PESTICIDES  MONITORING  JOURNAL.  Volume  12, 
Number  3 

Page  99:  Charles  D.  Kennedy  and  Roy  L.  Schutzmann, 
coauthors  of  the  paper  "Pesticide  Residues  in  Estuarine 
Mollusks,  1977  versus  1972 — National  Pesticide  Moni- 
toring Program"  are  employed  by  the  Ecological  Moni- 
toring Branch,  Pesticides  Monitoring  Laboratory,  U.S. 
Environmental  Protection  Agency,  Bay  St.  Louis,  MS 
39520. 

Pages  137-148:  In  the  paper  "Pesticide  Application  and 
Cropping  Data  from  37  States,  1971— National  Soils 
Monitoring  Programs,"  maps  for  Figures  1  and  2  were 
transposed. 


Vol.  12,  No.  4,  March  1979 


235 


Acknow  led^m  etits 

The  Editorial  Advisory  Board  wishes  to  thank  the  fol- 
lowing persons  for  their  valuable  assistance  in  review- 
ing papers  submitted  for  publication  in  Volume  12  of 
the  Pesticides  Monitoring  Journal: 

U.S.  DEPARTMENT  OF  AGRICULTURE 
Paul  F.  Sand 

U.S.   ENVIRONMENTAL  PROTECTION  AGENCY 

Ann  E.  Carey 


U.S.   DEPARTMENT  OF 

AND  WELFARE 
Paul  E.  Corneliussen 
Bernadette  M.  McMahon 
George  Yip 


HEALTH,   EDUCATION, 


236 


Pesticides  Monitoring  Journal 


SUBJECT  AND  AUTHOR  INDEXES 

Volume  12,  June  1978— March  1979 


Primary  headings  in  the  subject  index  include  pesticide 
compounds,  media  in  which  pesticide  residues  are  moni- 
tored, and  major  concepts  related  to  the  monitoring  of 
pesticides  in  the  environment.  Pesticide  compounds  are 
listed  by  common  names;  trade  names  are  used  for 
those  which  have  no  common  names. 
Secondary  headings  cross-reference  the  primary  head- 
ings.* For  a  paper  which  discusses  five  or  more  organo- 
chlorines  or  organophosphates  the  compounds  are 
grouped  by  class  under  media  and  concept  headings  but 


Preface 

each  compound  appears  individually  under  the  primary 
headings  for  pesticide  compounds. 

In  the  author  index  all  information  on  a  paper  appears 
in  the  senior  author's  citations:  associate  authors,  title 
of  the  paper,  and  volume,  issue,  and  pages  where  the 
article  was  published.  Names  of  associate  authors  are 
cross-referenced  as  minor  headings,  but  the  reader  is 
referred  to  the  senior  author's  entry  for  the  paper's  com- 
plete citation. 


•  Note:  With  the  exception  of  12(3 )  :137-148  and   12(4)  :198-208  in  which  no  compounds  are  used  as  secondary  headings.    Each  compound  is  listed 
as  a  primary  heading  with  application  as  its  only  secondary  heading. 


Vol.  12,  No.  4,  March  1979 


237 


SUBJECT  INDEX 


Acephate 

Dcgradaiion 

12(4):167-171 
Food  and  Feed 

12(4);167-171 

Alachlor 

Application 

12(3): 137-148 
12(4):  198-208 

Aldicarb 

Application 

12(4):  198-208 

Aldrin 

Application 

12(3): 137-148 

12(4):  198-208 
Crops 

12(4):  209-229 
Factors  Influencing  Residues 

12(2):81-86 

12(3):149-162 

12(4): 185-188 
Sediment 

I2(2):81.86 

12(2):94-95 
Soil 

12(3):117-136 

12(4):209-229 
Water 

12(3):149-162 

12(3):163 
Wildlife 

12(l):4-7 

12(2):51-59 

12(2):81-86 

12(3):99-lfll 

12(4):185-188 

Amitrole 

Application 

12(4):  198-208 

Ancrack 

Application 

12(4):  198-208 

Application 

Croplands 

12(3): 137-148 
12(4):  198-208 

Aroclor  1248  (see  also  PCBs) 

Factors  Influencing  Residues 

12(l):36-39 
Wildlife 

12(l):36-39 

Aroclor  1260 

Wildlife 

I2(3):113-1I6 

Aromatic  Amines 

Factors  Influencing  Residues 

12(3): 149-162 
Water 

12(3): 149-162 

Arsenic 

Factors  Influencing  Residues 

12(l):4-7 
Soil 

12(3):117-136 
Wildlife 

12(l):4-7 

Arsenic  Pentoxide 

Application 

12(3): 137-148 


Atrazine 

Application 

I2(3):I37-148 
12(4);  198-208 

Crops 

12(3):1I7-136 
12(4):  209-229 

Soil 

I2(3):II7-136 
12(4):  209-229 

Azinphosmethyl 

Application 

12(3):137-148 
12(4):  198-208 

Wildlife 

12(2):51-59 
12(3):99-101 


B 

Bacillus  thuringiensis 

Application 

I2(3):I37-148 

Barban 

Application 

I2(3):137-148 

Benefin 

Application 

I2(3):I37-I48 
12(4):  198-208 

Benomyl 

Application 

12(4):  198-208 

BHC/Lindane 

Application 

I2(3):137-148 

12(4):198-208 
Crops 

12(4):209-229 
Factors  Influencing  Residues 

12(l):26-35 

12(2):81-86 

12(2):87-90 

12(3):I49-I62 

12(4);193-197 

12(4):230-233 
Food  and  Feed 

12(2):91-93 
Sediment 

12(2):8l-86 

12(2):94-95 
Soil 

12(4):  209-229 

l2(4):230-233 
Water 

I2(3):149-162 

12(3): 163 
Wildlife 

12(l):4-7 

12(l):26-35 

12(2):5l-59 

12(2):8l-86 

l2(2):87-90 

12(3):99-ini 

12(41:193-197 

Bordeaux  Mixture 

Application 

12(3):137-148 

Bromacil 

Application 

12(3):137-148 
12(4):  198-208 

Soil 

12(2):47-50 


Bromoxynil 

Application 

12(4):  198-208 

Butylate 

Application 

12(3):137-148 
12(4):  198-208 

Bux 

Application 

12(3):137-148 
12(41:198-208 


Cadmium 

Factors  Influencing  Residues 

12(l):4-7 
Wildlife 

l2(l):4-7 

Captafol 

Application 

12(3): 137-148 
12(41:198-208 

Captan 

Application 

I2(3):137-148 
12(41:198-208 


Carbaryl 


Application 

12(3);137-I48 
12(4):  198-208 

Carbofuran 

Application 

12(3):137-I48 
12(4):  198-208 

Carbopbenothion 

Application 

12(3):  137-148 
12(4):  198-208 

Wildlife 

12(2):51-59 
12(3):99-101 

Chevron  RE-S353 

Application 

12(31:137-148 

Chloramben 

Application 

12(31:137-148 
12(4):  198-208 

Chlordane 

Application 

I2(3):I37-I4« 
12(41:198-208 

Crops 

I2(3):I17-136 
12(4):209-229 

Factors  Influencing  Residues 
12(2):60-68 
12(21:69-80 
12(41:193-197 
12(4):230-233 

Sediment 

12(2):94-95 

Soil 

12(3):117-136 
12(4):  209-229 
12(4):230-233 

Wildlife 

12(21:51-59 

l2(2):60-68 

l2(2):69-80 

12(31:99-101 

12(3):I13-1I6 

12(41:172-184 

12(41:193-197 


238 


Pesticides  Monitoring  Journal 


Chlorobenzilate 

Application 

12(3):I37-148 
12(4):  198-208 

Chloroneb 

Application 

12(3);137-148 
12(41:198-208 

Chloropropbam 

Application 

12(3): 137-148 
12(4):  198-208 

Chloropropylate 

Application 

12(4):  198-208 

Chlorothalonil 

Application 

12(3):  137-148 

Chloroxuron 

Application 

12(4):  198-208 

Cholinesterase  Inhibitors 

Factors  Influencing  Residues 

12(31:149-162 
Water 

12(3):  149-162 

Copper 

Factors  Influencing  Residues 

12(l):4-7 
Wildlife 

12(l):4-7 

Copper  Carbonate  (basic) 

Application 

12(3):  137-148 
12(4) :  198-208 

Copper  Hydroxide 

Application 

12(3):  137-148 

Copper  Oxide 

Application 

12(3): 137-148 

Copper  Sulfate 

Application 

12(3):137-148 

Crops  (see  also  Food  and  Feed 
Plants  (other  than  those  used 
for  food  and  feed)) 

Fodder 

12(3):137-148 

12(4):  198-208 
atrazine 

12(3):117-136 

12(4):209-229 
organochlorines 

12(3):117-I36 

12(4):209-229 
organophosphates 

12(3):117-136 

12(4):  209-229 


Fruit 


Grains 


12(3):137-148 
12(4):  198-208 

12(3):137-148 
12(4):  198-208 

atrazine 

12(3):117-136 
12(4)  :209-229 

organochlorines 
12(3):117-136 
12(4)-:  209-229 

organophosphates 
12(3): 117-136 
12(4):209-229 


Nuts 

12(3);I37-148 
12(4):  198-208 

atrazine 

12(3):117-136 
12(4):  209-229 

organochlorines 
12(3):1I7-I36 
12(41:209-229 

organophosphates 
12(3):117-136 
12(4);  209-229 
Oilseeds 

atrazine 

I2(3):117-136 
12(4):  209-229 

organochlorines 
12(3):117-136 
12(4):209-229 

organophosphates 
12(3):117-136 
12(4):209-229 
Vegetables 

12(3):137-148 
12(4):  198-208 

atrazine 

12(3):117-136 
12(4):209-229 

organochlorines 
12(31:117-136 
12(4):209-229 

organophosphates 
12(3):117-136 
12(4):209-229 

Cyanazine 

Application 

12(41:198-208 

Cycloate 

Application 

12(4):  198-208 

Cypromid 

Application 

12(3):137-148 

D 

2,4.D 

Application 

12(3):  137-148 
12(4):  198-208 

Dalapon 

Application 

12(3): 137-148 
12(4):  198-208 

2,4-DB 

Application 

12(3): 137-148 
12(4) :  198-208 

DCPA 

Application 

I2(3):137-148 
Crops 

12(4):  209-229 
Soil 

12(4)  :  209-229 

DDD,  see  TDE 
DDE 

Crops 

12(31:117-136 

12(41:209-229 
Factors  Influencing  Residues 

12(1) :4-7 

12(1):8-15 

12(1):I6-21 

12(l):22-25 

12(l):26-35 

12(2);60-68 

12(2);69-80 

12(2):81-86 

12(3):102-112 


12(3):  149-162 
12(4);185-188 
I2(4):i89-I92 
12(4): 193-197 

Food  and  Feed 

I2(2):91-93 

Sediment 

12(2):81-86 
12(2);94-95 

Soil 

12(3):117-136 
12(4):  209-229 

Water 

12(3):149-162 
12(3):163 

Wildlife 

12(1) :4-7 

12(1):8-15 

12(l):16-2! 

12(l):22-25 

12(11:26-35 

I2(2):51-59 

12(21:60-68 

12(2):69-80 

12(2):81-86 

12(3):102-112 

12(31:113-116 

12(41:172-184 

12(41:185-188 

12(4);189-192 

12(4): 193-197 


DDT 


Application 

12(31:137-148 
12(4):198-208 
Crops 

12(31:117-136 
12(41:209-229 
Degradation 

12(l):l-3 
Factors  Influencing  Residues 

12(11:4-7 

12(1):8-15 

12(1):16-21 

12(I):22-25 

12(l):26-35 

12(l):36-39 

12(2):60-68 

12(2):69-80 

12(2):81-86 

12(2):87-90 

12(3):102-112 

12(31:149-162 

12(41:185-188 

12(41:189-192 

12(4):193-197 
Food  and  Feed 

12(11:1-3 

12(2):9l-93 
Sediment 

12(2):81-86 

12(21:94-95 
Soil 

12(11:1-3 

12(31:117-136 

12(41:209-229 
Water 

I2(3):149-162 

12(3):163 
Wildlife 

12(l):4-7 

12(l):8-15 

12(11:16-21 

l2(l):22-25 

12(11:26-35 

12(11:36-39 

12(2):5I-59 

12(2):60-68 

12(2):69-80 

12(2):8l-86 

12(2):87-90 

12(3);99-101 

12(3):I02-I12 

12(31:113-116 

12(41:172-184 

12(41:185-188 

12(4):189-192 

12(4);193-197 


Vol.  12,  No.  4,  March  1979 


239 


DDTR 

Crops 

12(4):  209-229 
Factors  Influencing  Residues 

12(4):230-233 
Soil 

12(4):  209-229 

12(4):230-233 

DEF 

Application 

12(3):  137-148 
12(4):  198-208 

Crops 

12(3):117-136 
12(4):209-229 

Soil 

12(3):117-136 
12(4):209-229 

Wildlife 

12(2):51-59 
12(3):99-101 

Degradation 

Acephate 

12(4):I67-171 
DDT 

12(l):l-3 
Methamidophos 

12(4):I67-171 

Delnav 

Factors  Influencing  Residues 
12(4):185-188 

WUdlife 

12(4):  185-188 

Demeton 

Application 

12(3):  137-148 
Wildlife 

I2(2):51-59 

12(3):99-101 

Diallate 

Application 

12(3): 137-148 

Diazinon 

Application 

12(3):  137-148 
12(4):  198-208 

Crops 

12(4):209-229 
Factors  Influencing  Residues 
12(4): 185-188 

Soil 

12(31:117-136 
12(4):209-229 

Wildlife 

12(2):51-59 

12(3):99-101 

12(4):185-188 

Dibromochloropropane 

Application 

12(4):  198-208 

Dicamba 

Application 

12(31:137-148 
12(4):198-208 

Dicblofenthion 

Application 

12(3):137-148 

Dichlone 

Application 

12(4):  198-208 

Dichloropropenc 

Application 

12(31:137-148 
12(4):  198-208 


Dichlorprop 

Application 

12(3):137-I48 
12(41:198-208 

Dicofol 

Application 

12(3):137-148 

12(4):  198-208 
Crops 

12(41:209-229 
Soil 

12(41:209-229 

Dicrotophos 

Application 

12(41:198-208 

Dieldrin 

Application 

I2(3):137-148 

Crops 

12(31:117-136 
12(4):  209-229 

Factors  Influencing  Residues 
12(l):4-7 
12(1):8-15 
12(1):16-21 
12(11:22-25 
12(11:26-35 
12(11:36-39 
12(2):60-68 
12(21:69-80 
12(21:81-86 
12(21:87-90 
I2(3):102-112 
12(31:149-162 
12(4):185-188 
12(41:189-192 
12(41:193-197 
12(41:230-233 

Sediment 

12(21:81-86 
12(21:94-95 

Soil 

12(31:117-136 
12(41:209-229 
12(4):  230-233 

Water 

12(31:149-162 
12(3):163 

Wildlife 

12(l):4-7 

12(1):8-15 

12(11:16-21 

12(l):22-25 

12(l):26-35 

12(11:36-39 

12(21:51-59 

12(21:60-68 

12(21:69-80 

12(21:81-86 

12(21:87-90 

12(31:99-101 

12(31:102-112 

12(31:113-116 

12(41:172-184 

12(41:185-188 

12(41:189-192 

12(41:193-197 

Dimethoate 

Application 

12(41:198-208 

Dinitrocresol 

Application 

12(31:137-148 
12(41:198-208 

Dipbeiiamid 

Application 

12(31:137-148 
12(41:198-208 

Disulfolon 

Application 

12(31:137-148 
12(41:198-208 


Diuron 

Application 

12(31:137-148 
12(41:198-208 

Soil 

12(21:47-50 

DNBP 

Application 

12(31:137-148 
12(41:198-208 

Dodine 

Application 

12(31:137-148 
12(41:198-208 

DSMA 

Application 

12(31:137-148 
12(41:198-208 

Dursban 

Factors  Influencing  Residues 
12(41:185-188 

Wildlife 

12(41:185-188 

Dyfonate 

Application 

12(31:137-148 
12(41:198-208 


E 

EMTS 

Application 

12(31:137-148 
12(41:198-208 

Endosulfan 

Application 

12(3): 137-148 
Crops 

12(31:117-136 

12(41:209-229 
Factors  Influencing  Residues 

12(21:69-80 

12(31:149-162 
Sediment 

12(21:94-95 
Soil 

12(31:117-136 

12(41:209-229 
Water 

12(31:149-162 
WUdlife 

12(21:51-59 

12(21:69-80 

12(31:99-101 

Endosulfan  Sulfate 

Crops 

12(31:117-136 
12(41:209-229 

Soil 

12(3):  117-136 
12(4):209-229 

Endrin 

Application 

12(3): 137-148 

Crops 

12(31:117-136 
12(41:209-229 

Factors  Influencing  Residues 
12(21:69-80 
12(31:149-162 
12(41:193-197 
12(41:230-233 

Sediment 

12(21:94-95 

Soil 

12(31:117-136 
12(41:209-229 
12(41:230-233 


240 


Pesticides  Monitoring  Journal 


Water 


12(3):  149-162 
12(3):163 
Wildlife 

12(l):4-7 
12(2):69-80 
12(3):113-116 
12(4):193-197 

EPN 

Application 

12(4):  198-208 

EPTC 

Application 

12(3):137-148 
12(4):  198-208 

Ethion 

Application 

12(4):  198-208 
Factors  Influencing  Residues 
12(4);185-188 

Sou 

12(3):117-136 

Wildlife 

12(2):51-59 

12(3):99-101 

12(4):185-188 

Ethoprop 

Application 

12(3):137-148 
12(4):  198-208 

Ethylmercury  Chloride 

Application 

12(3):137-148 
12(4):  198-208 

Ethyl  Parathion 

Application 

12(3);137-148 
12(4):  198-208 

Crops 

12(3):117-136 
12(4) :  209-229 

Soil 

12(31:117-136 
12(41:209-229 

Wildlife 

12(2):51-59 


F 

Factors  Influencing  Residues 

Age 

DDE 

12(1):8-15 
DDT 

12(1):8-15 
dieldrin 

12(1):8-15 
mercury 

12(l):26-35 
organochlorines 

12(l):22-25 

12(l):26-35 

12(4):185-188 

12(4):189-192 
organophosphates 

12(4):185-188 
PCBs 

12(11:22-25 

12(l):26-35 

12(4);  189-192 
Environmental,  Geographical, 
and  Locational 
BHC/ Lindane 

12(2):87-90 
DDE 

12(3):102-112 
DDT 

12(11:36-39 

12(2):87-90 

12(31:102-112 


dieldrin 

12(l):36-39 
12(21:87-90 
12(3):102-112 
HCB 

12(2):87-90 
mercury 

12(11:26-35 
12(11:36-39 
organochlorines 
12(11:22-25 
12(l):26-35 
12(2):60-68 
12(21:69-80 
12(31:149-162 
12(4):193-197 
organophosphates 
12(31:149-162 
PCBs 

12(11:22-25 
12(11:26-35 
12(11:36-39 
12(21:60-68 
12(21:69-80 
12(31:102-112 
12(41:193-197 
TDE 

12(31:102-112 
urea  compounds 
12(31:149-162 
Land  Use 

organochlorines 
12(41:230-233 
PCBs 

12(41:230-233 
Seasonal  and  Temporal 
organochlorines 
12(21:60-68 
12(21:69-80 
12(41:185-188 
organophosphates 
12(41:185-188 
PCBs 

12(21:60-68 
12(21:69-80 
Sex 

DDE 

12(11:8-15 
DDT 

12(11:8-15 
dieldrin 

12(11:8-15 
mercury 

12(11:26-35 
organochlorines 
12(11:26-35 
12(41:185-188 
organophosphates 
12(41:185-188 
PCBs 

12(11:26-35 
Species 
DDE 

12(11:8-15 
12(11:16-21 
12(31:102-112 
DDT 

12(11:8-15 
12(11:16-21 
12(31:102-112 
dieldrin 

12(11:8-15 
12(11:16-21 
12(31:102-112 
mercury 

12(11:16-21 
12(11:26-35 
metals 

12(11:4-7 
mirex 

12(11:40-42 
organochlorines 
12(11:4-7 
12(11:26-35 
12(21:60-68 
12(21:69-80 
12(21:81-86 
PCBs 

12(1):16-21 


12(11:26-35 
12(21:60-68 
12(21:69-80 
12(21:81-86 
12(31:102-112 

TDE 

12(31:102-112 
Weight 

organochlorines 
12(21:60-68 
12(21:69-80 

PCBs 

12(21:60-68 
12(21:69-80 

Fenac 

Application 

12(41:198-208 

Fenaminosulf 

Application 

12(41:198-208 

Fensulfothion 

Application 

12(31:137-148 
12(41:198-208 

Fentin  Hydroxide 

Application 

12(31:137-148 
12(41:198-208 

Ferbam 

Application 

12(31:137-148 

Fluometuron 

Application 

12(31:137-148 
12(41:198-208 

Folex 

Application 

12(31:137-148 
12(41:198-208 

Folpet 

Application 

12(31:137-148 

Food  and  Feed 

Dairy  Products 
BHC/Lindane 

12(21:91-93 
DDE 

12(21:91-93 
DDT 

12(21:91-93 
TDE 

12(21:91-93 
Fruits 

acephate 

12(41:167-171 
methamidophos 

12(41:167-171 
Grain  and  Fodder 
DDT 

12(11:1-3 

Furethrin 

Application 

12(31:137-148 


H 

HCB 

Application 

12(31:137-148 

12(41:198-208 
Crops 

12(41:209-229 
Factors  Influencing  Residues 

12(21:60-68 

12(21:69-80 


Vol.  12,  No.  4,  March  1979 


241 


Soil 


12(2):87-90 
12(3):149-162 
12(4):185-I88 
12(4):  189-192 
12(4):193-197 

12(4):209-229 


Water 


I2(3).149-162 
Wildlife 

12(2):60-68 

12(2):69-80 

12(2):«7-90 

12(3):113-116 

12(4):172-184 

12(4):185-188 

12(4):189-192 

12(4):  193-197 

Heptachlor 

Application 

12(3):137-148 
12(4):  198-208 
Crops 

12(3):117-136 

12(4):209-229 
Factors  Influencing  Residues 

12(3):149-162 

12(4):  230-233 
Sediment 

12(2):94-95 


Sou 


Water 


12(3):1 17-136 
12(4):209-229 
12(4):230-233 

12(3):149-162 
12(3):  163 


Wildlife 

12(l):4-7 

12(2):51-59 

12(3):99-101 

Heptachlor  Epoxide 

Crops 

12(3):117-136 
12(4):209-229 

Factors  Influencing  Residues 
12(l):4-7 
12(0:22-25 
12(2):60-68 
12(2):69-80 
12(3):149-162 
12(4):193-197 
12(4):230-233 

Sediment 

12(2):94-95 


Soil 


12(3):117-136 
12(4):209-229 
12(4):230-233 


Water 


12(3):149-162 
12(3):163 


Wildlife 


12(l):4-7 

12(l):22-25 

12(2):51-59 

12(21:60-68 

12(2):69-80 

12(3):113-116 

12(4):  172-184 

12(4):193-197 


Isodrin 

Application 

12(3):137-148 
Soil 

12(3):  117-136 


Lead 

Factors  Influencing  Residues 

12(l):4-7 
Wildlife 

12(l):4-7 

Lead  Arsenate 

Application 

12(3):  137-148 

12(4):  198-208 

Lindane,  see  BHC/Lindane 

Linuron 

Application 

12(3):137-148 
12(41:198-208 

Londax 

Application 

12(3):137-148 


M 

Malatliion 

Application 

12(3):  137-148 
12(4):  198-208 

Crops 

12(4):209-229 

Factors  Influencing  Residues 

12(4):185-188 

Soil 

12(31:117-136 
12(41:209-229 

Wildlife 

12(2):51-59 

12(31:99-101 

12(41:185-188 

Malcic  Hydrazide 

Application 

12(31:137-148 
12(41:198-208 

Mancozeb 

Application 

12(31:137-148 

Maneb 

Application 

12(3):  137-148 
12(41:198-208 

Manganese 

Factors  Influencing  Residues 

12(11:4-7 
Wildlife 

12(0:4-7 

MCPA 

Application 

12(31:137-148 
12(41:198-208 

MCPB 

Application 

12(41:198-208 

Mercury 

Application 

12(31:137-148 

12(41:198-208 
Factors  Influencing  Residues 

12(11:16-21 

12(0:26-35 

12(0:36-39 
Wildlife 

12(0:16-21 

12(0:26-35 

12(0:36-39 


Metham 

Application 

12(3):137-148 

Methamidoplios 

Degradation 

12(41:167-171 
Food  and  Feed 

12(41:167-171 

Methomyl 

Application 

12(31:137-148 
12(41:198-208 

Methoxychlor 

Application 

12(31:137-148 

12(41:198-208 

Factors  Influencing  Residues 

12(21:69-80 
Sediment 

I2(2):94-95 
Wildlife 

12(0:4-7 
12(21:51-59 
12(21:59-80 
12(3):99-10I 

Methylmercury  Acetate 

Application 

12(31:137-148 
12(41:198-208 

Metliylmercury  Dicyandiamide 

Application 

12(3):137-148 
12(41:198-208 

Methyl  Parathion 

Application 

12(31:137-148 

12(41:198-208 
Crops 

12(31:117-136 

12(41:209-229 
Wildlife 

12(21:51-59 

Methyl  Trithion 

Application 

12(31:137-148 
12(41:198-208 

Metribuzin 

Application 

12(4):  198-208 

Mevinphos 

Application 

12(31:137-148 
12(41:198-208 

Mirex 

Application 

12(31:137-148 

12(41:198-208 
Factors  Influencing  Residues 

12(0:22-25 

12(11:40-42 

12(21:69-80 

12(41:193-197 
Sediment 

12(0:40-42 
Water 

12(0:40-42 
Wildlife 

12(0:22-25 

12(0:40-42 

12(21:51-59 

12(21:69-80 

12(31:99-101 

12(31:113-116 

12(41:172-184 

12(4):  193-197 


242 


Pesticides  Monitoring  Journal 


Molinate 

Application 

12(4):198-208 

Monocrotophos 

Application 

12(3):I37-148 
!2(4);198-208 

Monuron 

Application 

12(3):n7-148 

MSMA 

Application 

12(3):n7-148 
12(4):198-208 


N 

Nabam 

Application 

12(3):137-148 

Naled 

Application 

12(4):  198-208 


Naptalam 

Application 
12(3): 
12(4): 

Nitralin 

Application 
12(3): 
12(4): 

Nonachlor 

Wildlife 

12(3): 
12(4): 


Parathion 

Wildlife 


12(2):51-59 
12(3):99-101 


Norea 


Application 
12(4): 


137-148 
198-208 


137-148 
198-208 


113-116 
172-184 


198-208 


o 

Oil  Spray 

Application 

12(3):137-148 
12(4):  198-208 

Ovex 

Application 

12(3):137-148 
Soil 

12(3):117-136 

Oxychlordane 

Wildlife 

12(3):113-116 
12(4):  172- 184 

Oxydemeton-methyl 

Application 

12(3):137-148 

Oxythioquinox 

Application 

12(4):  198-208 


Paraquat 

Application 

12(3):137-148 
12(4):  198-208 


PCBs 


Crops 

12(4):209-229 
Factors  Influencing  Residues 

12(1):16-21 

12(l):22-25 

I2(1):26-3S 

12(2):60-68 

!2(2):69-80 

12(2):81-86 

12(3):102-112 

12(4):189-192 

12(4):193-197 

12(4):230-233 
Sediment 

12(2):81-86 

12(2):94-95 


Soil 


12(4):209-229 
12(4):  230-23  3 


Wildlife 

12(l):4-7 

12(1):16-21 

12(0:22-25 

12(11:26-35 

12(2):51-59 

12(2):60-68 

12(21:69-80 

12(2):81-86 

12(3):99-101 

12(31:102-112 

12(31:113-116 

12(4):172-184 

12(4):189-192 

12(4):193-197 

PCNB 

Application 

12(3):  137-148 

12(4):  198-208 
Crops 

12(4):209-229 
Soil 

12(4):209-229 

PCP 

Application 

12(3):137-148 
12(4):198-208 

Pebulate 

Application 

12(3):137-148 
12(4):198-208 

Pentachlorophenol,  see  PCP 

Phenylmercury  Acetate 

Application 

12(31:137-148 
12(4):  198-208 

Phenylmercury  Urea 

Application 

I2(3):137-148 

Phorate 

Application 

12(3);137-148 

12(4):198-208 
Crops 

12(4):209-229 
Soil 

12(31:117-136 

12(4):209-229 
Wildlife 

12(2):51-59 

I2(3):99-!91 

Pbosalone 

Application 

12(3):137-148 


Phosphamidon 

Application 

12(3):137-148 

Picioram 

Application 

1 2(4):  198-208 

Plants  (other  than  those  used 
for  food  and  feed)  (see  also 
Crops) 

Cotton 

12(31:137-148 

12(4):198-208 
atrazine 

12(3):I17-136 

12(41:209-229 
organochlorines 

12(31:117-136 

12(4):209-229 
organophosphates 

12(3):117-136 

I2(4):209-229 
Tobacco 

12(3):137-14S 

12(4):  198-208 
atrazine 

12(3):117-136 

12(4):209-229 
organochlorines 

12(31:117-136 

12(4):209-229 
organophosphates 

12(3):117-136 

12(4):209-229 

Polyram 

Application 

12(41:198-208 

Prolate 

Application 

12(3):U7-I48 
12(4):  198-208 

Prometryn 

Application 

12(31:137-148 
12(4):I98-208 

Propachlor 

Application 

12(3):137-148 
12(4):198-208 


Crops 
Soil 


12(4);209-229 


12(31:117-136 
12(4):209-229 

Propanil 

Application 

12(3):I37-148 
12(4);  198-208 

Propargite 

Application 

12(31:137-148 
12(4):  198-208 

Propham 

Application 

12(41:198-208 

Pyrazon 

Application 

12(3):137-148 
12(41:198-208 


Ronnel 

Crops 


Soil 


12(4):209-229 
12(4):209-229 


Vol.  12,  No.  4,  March  1979 


243 


s 


Sediment 

Creeks 

organochlorines 

12(2):94-95 
PCBs 

12(2):94-95 
Drainage  Systems 
organochlorines 

I2(2):81-86 

12(2):94-95 
PCBs 

12(2):81-86 

12(2):94-95 
Estuarine 
mirex 

12(I):40-42 
Marshes 

organochlorines 

I2(2):94-95 
PCBs 

12(2):94-95 

Silvex 

Application 

12(3):137-148 

Simazine 

Application 

I2(3):137-148 
12(4):  198-208 

Sodium  Chlorate 

Application 

12(3):137-148 
12(4):  198-208 

Soil 

Croplands 

12(3):137-148 

12(4):  198-208 
arsenic 

12(3):1I7-136 
atrazine 

12(3):n7-136 

12(4):209-229 
bromacil 

12(2):47-50 
DDT 

I2(l):l-3 
diuron 

12(2):47-50 
organochlorines 

12(3):117-136 

1 2(4):  209-229 
organophosphates 

12(3):117-136 

12(4):209-229 
PCBs 

12(4):209-229 
Urban 

organochlorines 

12(4):230-233 
PCBs 

I2(4):230-233 

Solan 

Application 

12(3):137-148 

Sulfur 

Application 

12(3):137-148 
12(4):  198-208 


2,4,S.T 

Application 

12(3):137-148 

TCA 

Application 

12(3):  137-148 
12(4):  198-208 


TCBC 

Application 

12(4):  198-208 

TDE 

Crops 

12(3):117-I36 
12(4):209-229 

Factors  Influencing  Residues 
12(l):4-7 
I2(l):22-25 
12(I):26-35 
12(2):50-68 
12(2):69-80 
12(2):81-86 
12(3):102-112 
12(3):149-162 
12(4):185-188 
12(4):  189-192 
12(4):193-197 

Food  and  Feed 

12(2):91-93 

Sediment 

12(2):81-86 

Soil 

12(3):117-136 
12(4):209-229 

Water 

12(3):  149-162 
12(3):163 

Wildlife 

l2(l):4-7 

12(l):22-25 

12(l):26-35 

12(2):51-59 

12{2):60-68 

l2(2):69-80 

l2(2):81-86 

12(3):102-112 

12(3):113-116 

12(4):172-I84 

12(4):  185-188 

12(4):189-192 

12(4):I93-197 

TEPP 

Application 

I2(3):137-148 
12(4):  198-208 

Terbacil 

Application 

I2(3):137-148 
1 2(4):  198-208 

Terbutryn 

Application 

12(3):I37-148 

Terrazole 

Application 

12(3):  137-148 

Tetradifon 

Application 

12(3):137-I48 

Thiram 

Application 

12(3):137-I48 
l2(4):198-208 

Toxaphene 

Application 

12(3):  137-148 
12(4):  198-208 

Crops 

12(3):l  17-136 
12(4):  209-229 

Soil 

12(3):117-136 
l2(4):209-229 

Wildlife 

12(0:4-7 

l2(2):51-59 

I2(3):99-I01 

I2(3):I13-116 

12(4):I72-184 


Trichlorfon 

Application 

12(3):  137-148 

Trietazine 

Application 

12(3):137-148 
12(4):198-208 

Trifluralin 

Application 

12(3):137-148 

12(4):198-208 
Crops 

1 2  (4):  209-229 
Soil 

12(3):1I7-136 

12(4):  209-229 
Wildlife 

12(2):5l-59 

12(3):99-101 

Trithion 

Factors  Influencing  Residues 
I2(4):185-188 

Wildlife 

I2(4):185-188 


Vernolate 

Application 

I2(3):I37-148 
12(4):  198-208 


w 

Water 

Drinking 

organochlorines 

12(3):149-I62 

12(3):163 
organophosphates 

12(3):  149-162 
urea  compounds 

12(3):149-162 
Estuarine 
mirex 

12(l):40-42 
Ground 

organochlorines 

12(3):  149-162 
organophosphates 

12(3):  149-162 
urea  compounds 

12(3):149-162 
Rain 

organochlorines 

12(3):149-162 
organophosphates 

I2(3):I49-162 
urea  compounds 

12(3):  149-162 
Surface 

organochlorines 

I2(3):149-162 
organophosphates 

I2(3):149-162 
urea  compounds 

I2(3):149-162 

Wildlife 

Birds 

DDE 

I2(l):8-15 
12(1):16-21 

DDT 

12(I):8-I5 
12(1):I6-21 

dieldrin 

12(l):8-15 
I2(1):I6-21 

mercury 

12(1):I6-21 
12(l):26-35 


244 


Pesticides  Monitoring  Journal 


metals 

12(l):4-7 
organochlorines 
12(l):4-7 
12(l):22-25 
12(l):26-35 
12(2):8I-86 
12(4):I72-184 
12(4):19J-I97 
PCBs 

12fl):4-7 
12(1):16-21 
12(l):22-25 
12(l):26-35 
12(2):81-86 
12(4):172-184 
12(4);193-197 
Fish 

DDE 

12(3);102-n2 
DDT 

12(0:36-39 
12(3):102-112 
dieldrin 

12<l);36-39 
12(3):102-112 
mercury 

12(l):36-39 
mirex 

12(l):40-42 
organochlorines 
12(2):51-59 
12(2):60-68 


12(2):69-80 

12(2):81-86 

organophosphates 
12(2):51-59 

PCBs 

12(l):36-39 
12(2):51-59 
12(2):60-68 
12(2):69-80 
12(2):81-86 
12(3):102-I12 

TDE 

12(3):102-112 
Invertebrates 

mirex 

12(l):40-42 
Mammals 

organochlorines 
12(3):113-1I6 
12(4);185-188 
12(4):  189-192 

organophosphates 
12(4):185-188 

PCBs 

12(3):113-116 
12(4):189-I92 
MoUusks 

BHC/Lindane 
12(2):87-90 

DDE 

12(3):102-112 

DDT 

12(21:87-90 
12(3):I02-112 


dieldrin 

12(2):87-90 

12(3):102-112 
HCB 

12(2):87-90 
mirex 

:2(1):4(M2 
organochlorines 

12(3):99-101 
organophosphates 

12(31:99-101 
PCBs 

I2(3):99-101 

12(3);  102-1 12 
TDE 

12(3):102-112 
Plankton 
mirex 

12(l):40-42 


Zinc 

Factors  Influencing  Residues 

12(11:4-7 
Wildlife 

12(l):4-7 


Zineb 


Application 

I2(3):137-148 


Vol.  12,  No.  4,  March  1979 


245 


AUTHOR  INDEX 


Ahcl.  Marijan,  sec  Piccr.  Mladcn 

Ammann.  Barbara  D.,  see  Grcichus,  Yvonne  A. 


B 


Baker,  B.  E..  see  Rosewcll.  K.  T. 

Bcnoit.  Frank  M..  sec  Williams.  David  T. 

Blus,  Lawience  J..  I.amoni,  Thair  (».,  and  Neely,  Burketi  S.,  Jr. 
Effects  of  organochlorine  residues  on  eggshell  thickness,  repro- 
duction, and  population  status  of  brown  pelicans  (Pelecanus 
nccidenuilis)  in  South  Carolina  and  Florida,  1969-76.  12(4) :  172-184 

Braun.  Heinz  E.,  see  Frank.  Richard 

Buck.  Nt^rman  A.,  see  Ware,  George  W. 

Butler.  Philip  A.,  and  Schutzmann,  Ro.v  L.  Residues  of  pesticides 
and  PCBs  in  estiiarine  fish.  1972-76 — National  Pesticide  Monitor- 
ing Program.    12(2):51-59 

Butler.  Philip  A..  Kennedy,  Charles  D.,  and  Schutzmann,  Roy  L. 
Pesticide  residues  in  estuarine  mollusks,  1977  versus  1972 — Na- 
tional Pesticide  Monitoring  Program,    I2(3);99-101 


Gowen.  Jeanne  A.,  see  Carey.  Ann  E. 

Gieichus.  Yvonne  A..  Gucck.  Brian  D..  and  Ammann.  Barbara  D. 
Organochlorine  insecticide,  polychlorinatcd  biphenyl,  and  metal 
residues  in  some  South  Dakota  birds.  1975-76.    12(1)  :4-7 

Greve.  Peter  A.,  see  Wegman.  Ronald  C.  C. 

Gueck.  Brian  D..  see  Greichus.  Yvonne  A. 


H 


Hattula.  Marja-Liisa.  see  Sarkka.  Jukka 
Hildebrand.  Henry  H..  sec  King.  Kirke  A. 
Holdrinct.  Michcline.  see  Frank,  Richard 
Hughes,  Donald  1...  see  McLane,  M.  Anne  R. 


Janatuinen,  Jorma,  see  Sarkka,  Jukka 
Johnson,  Teiko  M.,  see  Zabik,  Mary  E. 

Johnston,  David  W.    Organochlorine  pesticide  residues  in  Florida  birds 
of  prey,  1969-76.    I2(l):8-I5 


Cahill,  William  P.,  see  Ware,  George  W. 

Carey,    Ann    E..    and    Gowen,    Jeanne    A.     Pesticide    application    and 

cropping    data    from    37    states.    1972— National    Soils    Monitoring 

Program.  12(4)  :  198-208 
Carey.  Ann   E..  Gowen,  Jeanne  A..  Tai,   Han,  Mitchell,  William  G., 

and    Wiersma,    G.    Bruce.     Pesticide    residue    levels    in    soils    and 

crops,     1971 — National    Soils    Monitoring    Program    (HI).      12(3): 

117-136 
Carey.  Ann  E.,  Gowen.  Jeanne  A.,  Tai,  Han,  Mitchell.   William  G., 

and    Wiersma.    G.    Bruce.     Pesticide    residue    levels    in    soils    and 

crops   from    37   states.    1972 — National    Soils   Monitoring    Program 

(IV).  12(4):209-229 
Carey.  Ann  E..  Gowen.  Jeanne  A.,  and  Wiersma.  G.  Bruce.    Pesticide 

application  and  cropping  data  from  37  states.  1971 — National  Soils 

Monitoring  Program.    12(3):  137-148 
Clark.  Donald  R..  Jr..  and  Krynitsky.  Alex.    Organochlorine  residues 

and    reproduction    in    the    little    brown    bat.    Laurel,    Maryland — 

June  1976.    12(3):1 13-1 16 
Clark,  Eldon  R.,  see  McLane,  M.  Anne  R. 

D 

de  la  Cruz.  Armando  A.,  and  Lue,  Kiiang  ^'ang.  Mirex  incorporation 
in  estuaiine  animals,  sediment,  and  water.  Mississippi  gulf  coast — 
1972-74.    12(1):4()^2 

Dhaliwai.  G.  S..  and  Kalra.  R.  L.  DDT  residues  in  butter  and 
infani  formula  in  India.  1977.    12(2):91-93 

Djirsarai.  R..  see  Sodergren,  A. 

Dodge,  Douglas  P..  see  Frank,  Richard 

Dustman.  Eugene  H..  see  McLane.  M.  Anne  R. 


K 


Kalra.  R.  L..  see  Dhaliwai.  G.  S. 

Kennedy.  Charles  D..  see  Builer,  Philip  A. 

Kinn.    Kiike    A.,    Flickinger.    Edward    L.,    and    Hildebrand,    Henry   H. 

Shell   thinning   and   pesticide   residues  in   Texas  aquatic  bird   eggs, 

1970.    12(1):  16-21 
Krynitsky,  Alex,  see  Clark.  Donald  R..  Jr. 


Lamont.  Thair  G.,  see  Blus,  Lawrence  J. 

Lang.   Jerry   T..    Rodriguez,   Leopoldo   L.,    and   Livingston,   James  M. 

Organochlorine  pesticide  residues  in  soils  from  six  U.S.  Air  Force 

bases.  1975-76.  12(4)230-233 
Livingston.  James  M.,  see  Lang,  Jerry  T. 
Lue.  Kuang  \  ang,  sec  de  la  Cruz,  Armando  A. 


M 

McLane.  M.  Anne  R..  Dustman.  Eugene  H.,  Clark.  Eldon  R.,  and 
Hughes.  Donald  L.  Organochlorine  insecticide  and  polychlori- 
natcd  biphenyl   residues  in  woodcock  wings.    1971-72.     12(l):22-25 

McNeil.  Edward  E..  see  Williams.  David  T. 

Mitchell.  William  G..  see  Carey.  Ann  E. 

Moinpour.  A.,  see  Soiicigren,  A. 

Muir,  D.  C.  G.,  see  Rosewell.  K.  T. 


N 


Estesen,  Betty  J.,  see  Ware,  George  W. 


Neely,  Burkett  S.,  Jr.,  see  Blus.  Lawrence  J. 

Nepszy,  Stephen  J.,  see  Frank.  Richard 

Nigg,  H.  N..  Rcinert,  James  A.,  and  Fitzpatrick,  G,  E.    Acephate  and 

mcthamidophos    residue   behavior    in    Florida    citrus,    1976.     12(4): 

167-171 


Fitzpatrick,  G.  E.,  see  Nigg,  H.  N. 

Flickinger,  Edward  L.,  see  King,  Kirke  A. 

Frank.  Richard.  Braun,  Heinz  E,,  lloldrinet,  Micheline,  Dodge, 
Douglas  P.,  and  Nepszy,  Stephen  J.  Residues  of  organochlorine 
insecticides  and  polychlorinatcd  biphenyls  in  fish  from  Lakes 
Saini  Clair  and  Erie,  Canada— 1968-76.    12(2):69-80 

Frank,  Richard,  Holdrinet,  Micheline.  Braun,  Heinz  E.,  Dodge. 
Douglas  P.,  and  Sprangler,  George  E.  Residues  of  organochlorine 
insecticides  and  polychlorinatcd  biphenyls  in  fish  from  Lakes 
Huron  and  Superior.  Canada— 1968-76.    12(2):60-68 


o 

Olscn.  Penny,  and  Settle.  Hariy.  Pesticide  contamination  of  water 
rats  in  the  Murrumbidgee  irrigation  areas.  New  South  Wales. 
Australia.  12(4  )  :  IS5-18S 

Olson.  Barbara,  sec  Zabik.  Mary  E. 

Olson.  Rein,  sec  Williams,  David  T. 


G 

Gharib/adeh.  M..  see  Stidergrcn,  A. 

Glooschcnko,  W.  A.,  and  Sampson,  R.  C.  J.  Organochlorine  pesti- 
cides and  polychlorinatcd  biphenyls  on  sediments  from  a  subarctic 
salt  marsh,  James  Bay.  Canada— 1976.    12(2);94-95 


Paasivirta.  Jaakko.  see  Sarkka,  Jukka 

Palokangas.  Risto.  sec  Sarkka.  Jukka 

Piccr.  Mladen.  Picer.  Ncna.  and  Ahcl.  Marijan.  Chlorinated  insecti- 
cide and  PCB  residues  in  tish  and  mussels  of  east  coastal  waters 
of  the  middle  and  north  Adriatic  Sea,   1974^75.    12(3) :  102-1 12 

Piccr,  Ncna.  sec  Piccr,  Mladen 


246 


Pesticides  Monitoring  Journal 


Reinert,  James  A.,  see  Nigg,  H.  N. 

Rodriguez,  Leopoldo  L.,  see  Lang.  Jerry  T. 

Rosewell,   K.   T.,   Miiir.    D.  C.   G..   and   Baker.   B.   E.  Organochlorine 

residues    in   harp    seal    (Phagophilus   groenlamlicus)    tissues,    Gulf 

of  St.  Lawrence.  1971,  1973.  12(4)  :189-192 


Sampson.  R.  C.  J.,  see  Glooschenko,  W.  A. 

Sarkka,    Jukka.    Hattula.    Marja-Liisa.    Janatuinen.    Jorma,    Paasivirta, 

Jaakko,    and    Palokangas.    Risto.     Chlorinated    hydrocarbons    and 

mercury    in    birds    in    Lake    Paijanne,    Finland — 1972-74.     12(1): 

26-35 
Schutzmann.  Roy  L.  see  Butler.  Philip  A. 
Settle.  Harry,  see  Olsen,  Penny 
Sbdergren,    A..    Djirsarai.    R..    Gharibzadeh.    M.,    and    Moinpour,    A. 

Organochlorine    residues    in    aquatic    environments    in    Iran.    1974. 

12(2):8I-86 
Sprangler.  George  E.,  see  Frank,  Richard 
Sumner.  Colin  Edward.    Chlorinated  hydrocarbon  pesticide  residues  in 

Pacific    oysters    (Crassostrea    gigas)    from    Tasmania,    Australia — 

1973.    12(2):87-90 


Tai.  Han,  see  Carey.  Ann  E. 

Tucker,  David  P.  H.  Bromacil  and  diuron  residue  levels  in  Florida 

citrus  soils.    12(2):47-50 

w 

Ware,  George  W.,  Estesen,  Betty  J.,  Buck,  Norman  A.,   and  Cahill, 

William    P.     DDT    moratorium    in    Arizona — agricultural    residues 

after  seven  years.    12(l);I-3 
Wegman,  Ronald  C.  C,  and  Greve,  Peter  A.    Organochlorines,  cholin- 

esterase  inhibitors,  and  aromatic  amines  in  Dutch  water  samples, 

September  1969-Decembcr  1975,    12(3) :  149-162 
White,  Donald  H.    Nationwide  residues  of  organochlorines  in  starlings 

(Snirinis  vulgarisl,  1976.  12(4) :  193-197 
Wiersma,  G.  Bruce,  see  Carey,  Ann  E. 
Williams,    David    T.,    Benoil,    Frank    M.,    McNeil,    Edward    E.,    and 

Otson,   Rein.    Organochlorine  pesticide  levels  in  Ottawa  drinking 

water,  1976.    12(3):163 


Zabik,  Mary  E.,  Olson,  Barbara,  and  Johnson,  Tciko  M.  Dieldrin, 
DDT,  PCBs,  and  mercury  levels  in  freshwater  mullet  from  the 
upper  Great  Lakes,    12(l):36-39 


Vol.  12,  No.  4,  March  1979 


247 


Information  for  Contributors 


The  Pesticides  Monitoring  Journal  welcomes  from  all 
sources  qualified  data  and  interpretative  information  on 
pesticide  monitoring.  The  publication  is  distributed 
principally  to  scientists,  technicians,  and  administrators 
associated  with  pesticide  monitoring,  research,  and 
other  programs  concerned  with  pesticides  in  the  environ- 
ment. Other  subscribers  work  in  agriculture,  chemical 
manufacturing,  food  processing,  medicine,  public  health, 
and  conservation. 

Articles  are  grouped  under  seven  headings.  Five  follow 
the  basic  environmental  components  of  the  National 
Pesticide  Monitoring  Program:  Pesticide  Residues  in 
People;  Pesticide  Residues  in  Water;  Pesticide  Residues 
in  Soil;  Pesticide  Residues  in  Food  and  Feed;  and 
Pesticide  Residues  in  Fish,  Wildlife,  and  Estuaries.  The 
sixth  is  a  general  heading;  the  seventh  encompasses 
briefs. 

Monitoring  is  defined  here  as  the  repeated  sampling  and 
analysis  of  environmental  components  to  obtain  reliable 
estimates  of  levels  of  pesticide  residues  and  related 
compounds  in  these  components  and  the  changes  in 
rtiese  levels  with  time.  It  can  include  the  recording  of 
residues  at  a  given  time  and  place,  or  the  comparison  of 
residues  in  different  geographic  areas.  The  Journal  will 
publish  results  of  such  investigations  and  data  on  levels 
of  pesticide  residues  in  all  portions  of  the  environment 
in  sufficient  detail  to  permit  interpretations  and  con- 
clusions by  author  and  reader  alike.  Such  investigations 
should  be  specifically  designed  and  planned  for  moni- 
toring purposes.  The  Journal  does  not  generally  publish 
original  research  investigations  on  subjects  such  as 
pesticide  analytical  methods,  pesticide  metabolism,  or 
field  trials  (studies  in  which  pesticides  are  experimen- 
tally applied  to  a  plot  or  field  and  pesticide  residue  de- 
pletion rates  and  movement  within  the  treated  plot  or 
field  are  observed). 

Authors  are  responsible  for  the  accuracy  and  validity 
of  their  data  and  interpretations,  including  tables,  charts, 
and  references.  Pesticides  ordinarily  should  be  identi- 
fied by  common  or  generic  names  approved  by  national 
or  international  scientific  societies.  Trade  names  are 
acceptable  for  compounds  which  have  no  common 
names.  Structural  chemical  formulas  should  be  used 
when  appropriate.  Accuracy,  reliability,  and  limitations 
of  sampling  and  analytical  methods  employed  must  be 
described  thoroughly,  indicating  procedures  and  con- 
trols used,  such  as  recovery  experiments  at  appropriate 
levels,  confirmatory  tests,  and  application  of  internal 
standards  and  interlaboratory  checks.  The  procedure 
employed  should  be  described  in  detail.  If  reference  is 
made  to  procedures  in  another  paper,  crucial  points  or 
modifications  should  be  noted.  Sensitivity  of  the  method 
and   limits   of   detection   should   be   given,   particularly 


when  very  low  levels  of  pesticide  residues  are  being 
reported.  Specific  note  should  be  made  regarding  cor- 
rection of  data  for  percent  recoveries.  Numerical  data, 
plot  dimensions,  and  instrument  measurements  should 
be  reported  in  metric  units. 

PREPARATION  OF  MANUSCRIPTS 

Prepare  manuscripts  in  accord  with  the  CBE  Style 

Manual,  third  edition.  Council  of  Biological  Edi- 
tors, Committee  on  Form  and  Style,  American 
Institute  of  Biological  Sciences,  Washington,  D.C., 
and/or  the  U.S.  Government  Printing  Office  Style 
Manual.  For  further  enrichment  in  language  and 
style,  consult  Strunk  and  White's  Elements  of  Style, 
second  edition,  MacMillan  Publishing  Co.,  New 
York,  N.Y.,  and  A  Manual  of  Style,  twelfth  edi- 
tion. University  of  Chicago  Press,  Chicago,  111. 

On  the  title  page  include  authors'  full  names  with 

afifiliations  and  addresses  footnoted;  the  senior 
author's  name  should  appear  first.  Authors  are 
those  individuals  who  have  actually  written  or 
made  essential  contributions  to  the  manuscript  and 
bear  ultimate  responsibility  for  its  content.  Use 
the  Acknowledgment  section  at  the  end  of  the 
paper  for  crediting  secondary  contributor? 

Preface  each  manuscript  with  an  informative  ab- 
stract not  to  exceed  200  words.  Construct  this 
piece  as  an  entity  separate  from  the  paper  itself; 
it  is  potential  material  for  domestic  and  foreign 
secondary  publications  concerned  with  the  topic  of 
study.  Choose  language  that  is  succinct  but  not 
detailed,  summarizing  reasons  for  and  results  of 
the  study,  and  mentioning  significant  trends.  Bear 
in  mind  the  literature  searcher  and  his/her  need 
for  key  words  in  scanning  abstracts. 

Forward  original  manuscript  and  three  copies  by 

first-class  mail  in  flat  form:  do  not  fold  or  roll. 

Type    manuscripts  on   8'/2-by-l  1-inch   paper  with 

generous  margins  on  all  sides,  and  end  each  page 
with  a  completed  paragraph.  Recycled  paper  is 
acceptable  if  it  does  not  degrade  the  quality  of 
reproduction.  Double-space  all  copy,  including 
tables  and  references,  and  number  each  page. 

Place    tables,    charts,    and    illustrations,    properly 

titled,  at  the  end  of  the  article  with  notations  in 
the  text  to  show  where  they  should  be  inserted. 
Treat  original  artwork  as  irreplaceable  material. 
Lightly  print  author's  name  and  illustration  number 
with  a  ballpomt  pen  on  the  back  of  each  figure. 
Wrap  in  cardboard  to  prevent  mutilation;  do  not 
use  paperclips  or  staples. 

Letter  charts  distinctly  so  that  numbers  and  words 

will  be  legible  when  reduced.  Execute  drawings  in 


248 


Pesticides  Monitoring  Journal 


black  ink  on  plain  white  paper.  Submit  original 
drawings  or  sharp  glossy  photographs:  no  copies 
will  be  accepted. 

Number   literature   citations   in   alphabetical   order 

according  to  author.  For  journal  article  include, 
respectively,  author,  year,  title,  journal  name  as 
abbreviated  in  Chemical  Abstracts  Service  Source 
Index,  and  volume,  issue,  and  page  numbers.  For 
book  references  cite,  respectively,  author,  year, 
chapter  title,  pages,  and  editor  if  pertinent,  book 
title,  and  name  and  city  of  publisher.  For  Govern- 
ment manuals  list  originating  agency  and  relevant 
subgroup,  year,  chapter  title  and  editor  if  perti- 
nent, manual  title,  and  relevant  volume,  chapter, 
and/or  page  numbers.  Do  not  list  private  com- 
munications among  Literature  Cited.  Insert  them 
parenthetically  within  the  text,  including  author, 
date,  and  professional  or  university  affiliation  in- 
dicating author's  area  of  expertise. 

The  Journal  welcomes  brief  papers  reporting  monitor- 
ing data  of  a  preliminary  nature  or  studies  of  limited 
scope.  A  section  entitled  Briefs  will  be  included  as 
necessary  to  provide  space  for  short  papers  which  pre- 
sent timely  and  informative  data.  These  papers  must  be 
limited  to  two  published  pages  (850  words)  and  should 
conform  to  the  format  for  regular  papers  accepted  by 
the  Journal. 

Manuscripts  require  approval  by  the  Editorial  Advisory 
Board.  When  approved,  the  paper  will  be  edited  for 
clarity    and    style.    Editors    will    make    the    minimum 


changes  required  to  meet  the  needs  of  the  general 
Journal  audience,  including  international  subscribers 
for  whom  English  is  a  second  language.  Authors  of 
accepted  manuscripts  will  receive  edited  typescripts  for 
approval  before  type  is  set.  After  publication,  senior 
authors  will  receive  100  reprints. 

Manuscripts  are  received  and  reviewed  with  the  under- 
standing that  they  have  not  been  accepted  previously 
for  publication  elsewhere.  If  a  paper  has  been  given 
or  is  intended  for  presentation  at  a  meeting,  or  if  a 
significant  portion  of  its  contents  has  been  published 
or  submitted  for  publication  elsewhere,  notations  of 
such  should  be  provided.  Upon  acceptance,  the  original 
manuscript  and  artwork  become  the  property  of  the 
Pesticides  Monitoring  Journal. 

Every  volume  of  the  Journal  is  available  on  microfllm. 
Requests  for  microfilm  and  correspondence  on  editorial 
matters  should  be  addressed  to: 

Paul  Fuschini  (TS-757) 

Editorial  Manager 

Pesticides  Monitoring  Journal 

U.S.  Environmental  Protection  Agency 

Washington,  D.C.  20460 

For  questions  concerning  GPO  subscriptions  and  back 
issues  write: 

Superintendent  of  Documents 
U.S.  Government  Printing  Office 
Washington,  D.C.  20402 


Vol.  12,  No.  4,  March  1979 


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