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. 2022 Nov 8;56(23):17119–17130. doi: 10.1021/acs.est.2c05998

Influence of Life-History Parameters on Persistent Organic Pollutant Concentrations in Blubber of Eastern North Pacific Gray Whales (Eschrichtius robustus)

Kia R R Hayes †,‡,§,*, Gina M Ylitalo , Todd A Anderson , Jorge Urbán R , Jeff K Jacobsen , Jonathan J Scordino #, Aimee R Lang ∇,§, Keri A Baugh , Jennie L Bolton , Anna Brüniche-Olsen , John Calambokidis , Sergio Martínez-Aguilar , Seenivasan Subbiah , Matthew O Gribble , Céline A J Godard-Codding †,*
PMCID: PMC9730851  PMID: 36346717

Abstract

graphic file with name es2c05998_0004.jpg

Exposure to persistent organic pollutants (POPs) can significantly impact marine mammal health, reproduction, and fitness. This study addresses a significant 20-year gap in gray whale contaminant monitoring through analysis of POPs in 120 blubber biopsies. The scope of this substantial sample set is noteworthy in its range and diversity with collection between 2003 and 2017 along North America’s west coast and across diverse sex, age, and reproductive parameters, including paired mothers and calves. Mean blubber concentrations of polychlorinated biphenyls (∑PCBs), dichlorodiphenyltrichloroethanes (∑DDTs), and chlordanes (∑CHLs) generally decreased since previous reports (1968–1999). This is the first report of polybrominated diphenyl ethers (PBDEs) and select hexachlorocyclohexanes (HCHs) in this species. Statistical modeling of the 19 most frequently detected compounds in this dataset revealed sex-, age-, and reproductive status-related patterns, predominantly attributed to maternal offloading. Mean POP concentrations differed significantly by sex in adults (17 compounds, up to 3-fold higher in males) but not in immatures (all 19 compounds). Mean POP concentrations were significantly greater in adults versus immatures in both males (17 compounds, up to 12-fold) and females (13 compounds, up to 3-fold). POP concentrations were detected with compound-specific patterns in nursing calves, confirming maternal offloading for the first time in this species.

Keywords: organochlorines, pollutants, gray whale, life-history, marine mammals

Short abstract

This study reports long-term and population-wide POP concentrations in gray whales and provides insight into bioaccumulation patterns across life-history parameters.

Introduction

The presence of persistent organic pollutants (POPs) in the marine environment is of global concern for marine mammal health and habitat quality.1,2 Marine mammals are particularly susceptible to bioaccumulating these lipophilic contaminants in their blubber3 and are at risk of associated effects including developmental dysfunction, endocrine system disruption, reproductive failure, and immunosuppression.411 Due to their toxicity and environmental persistence, the production and use of POPs, such as polychlorinated biphenyls (PCBs), dichlorodiphenyltrichloroethanes (DDTs), chlordanes (CHLs), hexachlorocyclohexanes (HCHs), and polybrominated diphenyl ethers (PBDEs), have been prohibited or greatly limited since the 2001 Stockholm Convention on Persistent Organic Pollutants and its subsequent addendums. Despite this ban, POPs remain a threat to wildlife on account of their environmental persistence, long-range transport, bioaccumulation, and continued production and use in nonsignatory countries.

Accumulation of POPs in marine mammals is dependent on biological factors including, but not limited to, trophic position, nutritional state, sex, age, and reproductive status.1117 Maternal contaminant transfer is a known dominant factor contributing to marine mammal intraspecies variation of POP concentrations.3,1824 Maternal offloading occurs primarily through lactation and, to a lesser extent, gestation.9,21,25 The influence of life-history parameters, such as sex, age, and reproductive status, on contaminant concentrations is well known for pinnipeds and toothed whales but unconfirmed in many baleen whales due to the absence of captive animals and challenges associated with sampling in the wild. Differences in reproductive ecology, bioenergetics, diet, and/or milk composition among whales warrant species-specific POP studies that support population-wide health assessments, especially in understudied species in ecotoxicology such as the gray whale (Eschrichtius robustus).

POPs had been reported in eastern North Pacific gray whales (1960s–1990s), but data on contemporary levels and across life-history parameters were lacking2630 and are now even more relevant due to the ongoing 2019–2022 Unusual Mortality Event along the west coast of North America.31 The first objective of this study was to provide a large and comprehensive assessment of contemporary POP concentrations in gray whale blubber between 2003 and 2017 (post Stockholm Convention POP ban), across a wide range of their coastal migration in Mexico, USA, and Canada. This study was a collaborative effort among universities, nonprofit entities, and governments representing Mexico, USA, Canada, and the Makah Tribe. Additional objectives were to elucidate variations of POP concentrations across sex, age, and reproductive parameters to inform interpretation and monitoring of contaminants in this protected species. Maternal offloading was expected to be a key factor influencing patterns of lipophilic POP concentrations in gray whales, particularly since their milk has one of the highest percent fat content (∼53%) reported in cetaceans.32 This study is noteworthy in its scope with a substantial sample size (120 biopsies) for a marine mammal study including a rare collection of repetitively sampled individuals and the first analysis of POPs in gray whale mothers and calves (including matched pairs), allowing for direct assessment of maternal offloading. Additionally, this study reports the most extensive POP panel, including the first report of PBDEs and select HCHs, in this species.

Materials and Methods

Sample Collection

Blubber biopsies (n = 120) were collected from free-ranging gray whales in 2003 (n = 2), 2010–2012 (n = 51), and 2015–2017 (n = 67) along the eastern North Pacific gray whale range in Mexico (San Ignacio Lagoon breeding ground), USA, and Canada (Figure 1 and Table S1). Skin and blubber were collected from the dorsal region using sterilized biopsy darts (specific methods varied across collectors). Samples were stored below −20 °C (short-term) or −80 °C (long-term) until analyzed. Biopsies were collected from mothers (n = 23) and calves (n = 32) including 19 paired samples of related mothers and calves (one pair sampled twice). Related pairs were sampled only while isolated from other individuals to ensure familial relation.

Figure 1.

Figure 1

Biopsy sample collection locations with sex and age group (“immatures” includes juveniles and calves) composition of free-ranging gray whales between 2003 and 2017.

Whale Identification

All individuals were identified photographically33 using collaborative ID catalogs (UABCS, Cascadia Research Collective, the Makah Tribe, and VE Enterprises) and/or genetic analyses (SWFSC) (Table S1). Calves were classified by small size and close association with their mother. Juveniles were classified by known birth year or estimated body size as individuals who had weaned from mothers but expected to be reproductively immature (less than 6 years old).34 “Immatures” refer to both calves and juveniles. Females were classified as “mothers” if observed with a calf at the time of sampling. SWFSC samples were sexed by amplification of the zinc finger (ZFX and ZFY) genes.35 UABCS samples were sexed at Purdue University by analyzing two sex-linked (ZFY_288 and ZFY_342) single-nucleotide polymorphisms.36 Ten repetitively sampled individuals were selected from tissue archives for longitudinal assessment of contaminant concentrations.

Chemical Analysis

Blubber samples were analyzed for POPs as previously described.37 Briefly, samples (0.2–0.7 g) were mixed with drying agents (sodium sulfate and magnesium sulfate) and then extracted with dichloromethane using accelerated solvent extraction. Extraneous polar and biogenic compounds (i.e., neutral lipids) were removed using gravity-flow silica/alumina columns followed by high-performance size-exclusion liquid chromatography. Concentrated sample extracts (2 μL) were analyzed on a GC/MS system equipped with a 60 m DB-5 GC capillary column. Analyte levels were quantified using up to 10 multilevel GC/MS calibration standards of known concentrations. Total percent lipid was determined gravimetrically.

The POPs reported included hexachlorobenzene (HCB), mirex, endosulfan I; α-, β-, and γ-HCH (∑HCHs); cis-chlordane (α-Chlor), cis-nonachlor (c-Nona), heptachlor epoxide (HPE), nonachlor III, oxychlordane (oxychlor), trans-nonachlor (t-Nona) (∑CHLs); o,p′-DDD, o,p′-DDE, o,p′-DDT, p,p′-DDD, p,p′-DDE, and p,p′-DDT (∑DDTs); 45 PCB congeners 17, 18, 28, 31, 33, 44, 49, 52, 66, 70, 74, 82, 87, 95, 99, 101/90, 105, 110, 118, 128, 138/163/164, 149, 151, 153/132, 156, 158, 170, 171, 177, 180, 183, 187/159/182, 191, 194, 195, 205, 206, 208, and 209 (∑PCBs); and PBDE congeners 28, 47, 49, 66, 85, 99, 100, 153, 154, 155, and 183 (∑PBDEs).

Quality Assurance

Performance-based quality assurance (QA) guidelines were followed for measuring POPs and percent lipid.38 Quality assurance samples including a solvent (dichloromethane) method blank and a National Institute of Standards and Technology Standard Reference Material (SRM 1945, Organics in Whale Blubber) were analyzed with each set of samples. Surrogate standard (PCB 103) recoveries for field and quality assurance samples (67–119%) met the QA program criteria (60–130%), as did all other program measures. The lower limits of quantitation (LOQ) of individual analytes, calculated based on sample mass and the analyte areas in the lowest-level calibration standard, ranged from <0.38 to <2.5 ng/g, wet weight.

Data Analysis

All contaminant data are reported as lipid-normalized unless otherwise noted. Arithmetic means (here on out referred to as means) were calculated to allow for comparisons with similarly reported previous gray whale and other cetacean studies. These means included all compounds and values < LOQ were replaced with zero (Tables 1 and 2).

Table 1. POP Concentrations (Mean (ng/g Lipid Weight) ± Standard Error) and Percent Lipid in Blubber Biopsies According to Age Group and Sex of Gray Whales Collected between 2003 and 2017 along the West Coast of North Americaa,b,c.

age group sex n % lipid ∑PCBs ∑DDTs ∑CHLs ∑HCHs ∑PBDEs
overall   120 23 ± 1 190 ± 20 (100) [120 (ND-1940)] 220 ± 30 (112) [60 (ND-2630)] 90 ± 7.0 (118) [60 (ND-460)] 70 ± 5.0 (118) [60 (ND-270)] 30 ± 5.0 (55) [ND (ND-350)]
adult M 30 24 ± 2 370 ± 70 [290 (30–1940)] 390 ± 90 [190 (10–2630)] 170 ± 20 [170 (30–460)] 130 ± 10 [110 (30–270)] 50 ± 14 (20) [20 (ND-350)]
F 52 22 ± 2 170 ± 30 (43) [120 (ND-970)] 220 ± 50 (44) [50 (ND-1660)] 70 ± 7.0 (50) [50 (ND-220)] 50 ± 4.0 (50) [40 (ND-120)] 40 ± 7.0 (27) [7.0 (ND-150)]
U 3 25 ± 9 260 ± 90 [340 (80–360)] 400 ± 190 [570 (20–610)] 70 ± 30 [90 (10–100)] 60 ± 10 [70 (40–80)] 120 ± 60 (2) [170 (ND-180)]
juvenile M 2 32 ± 7 60 ± 1.0 [60 (60–60)] 50 ± 20 [50 (30–60)] 50 ± 10 [50 (40–60)] 70 ± 10 [70 (60–80)] 8.0 ± 8.0d (1) [8.0 (ND-20)]
F 1 37 240d 270d 80d 110d 70d
calf M 13 20 ± 3 20 ± 6.0 (7) [20 (ND-60)] 20 ± 2.0 [20 (10–30)] 30 ± 3.0 [40 (20–50)] 50 ± 4.0 [40 (30–80)] ND
F 19 24 ± 2 60 ± 20 (14) [40 (ND-230)] 50 ± 20 [20 (10–310)] 50 ± 7.0 [40 (20–160)] 60 ± 8.0 [50 (30–190)] 10 ± 6.0 (4) [0.0 (ND-110)]
a

Number of values detected above LOQ, if different from n, are listed in parentheses after mean. Median (minimum–maximum) concentrations listed in brackets.

b

ND = not detected above LOQ.

c

M = male, F = female, U = unknown sex.

d

Reported as observed concentration ng/g (n = 1).

Table 2. POP Concentrations (Mean ± Standard Error, Unless Otherwise Noted) and Percent Lipid in Blubber of Gray Whales across Time and in Other Baleen Whale Species between the Same Sampling Period and in the Northern Hemispherea,b,f.

year (ocean) n % Lipid ∑PCBs ∑DDTs ∑CHLs ∑HCHs ∑PBDEs HCB Reference
Gray Whale (Eschrichtius robustus)
2003–2017 (N. Pacific)1 120 23 ± 1 190 ± 20 {50 ± 6} 220 ± 30 {60 ± 10} 90 ± 10 {20 ± 3} 70 ± 5 {20 ± 2} 30 ± 5 {20 ± 1} 100 ± 7 {25 ± 3} this study
1999 (N. Pacific)2 24 12 ± 3 8200 ± 1400 3100 ± 510       4600 ± 730 (26)
1996–1998 (N. Pacific)1 38 10 ± 1 2100 ± 190 1200 ± 140       600 ± 40  
1994 (N. Pacific)3 17 48 ± 5 1400 ± 130 330 ± 50 320 ± 40     530 ± 80 (26, 28)
1988–1991 (N. Pacific)2 22 9 ± 4 56,000 ± 26,000 26,000 ± 15,000 22,000 ± 14,000     21,000 ± 14,000 (26, 29)
1976 (N. Pacific)2 1   {230}c {470}c         (27)
1968–1969 (N. Pacific)3 23   ND {70}         (30)
Humpback Whale (Megaptera novaeangliae)
2017 (Indian) 1 87 42 2.0 ± 3.0d 8.0 ± 4.0d 4.0 ± 3.0d 0.3 ± <0.1d 0.4 ± 0.1d 70 ± 20d (47)
2014–2015 (S. Pacific)1 59 40 2.0 ± 1.0d 20 ± 20d 4.0 ± 3.0d 0.6 ± 0.7d 0.4 ± 0.1d 40 ± 20d  
2010–2011 (Indian)1 25 37 3.0 10 8.0 3.0 2.0 30 (48)
2005–2006 (N. Atlantic)1 20 30 7700e 3500e 1500e 35e 890e   (49)
2003–2004 (N. Pacific)1 67 23 340e 930e 230e 230e 90e    
Bowhead Whale (Balaena mysticetus)
2006–2015 (N. Pacific)3 71 73 {70}e {50}e {70}e {90}e {2.0}e {60}e (50)
Blue Whale (Balaenoptera musculus)
2014–2018 (Arctic)1 18 47 ± 11d 150 ± 70d 240 ± 170d 100 ± 50d 10 ± 5d 8.0 ± 5d 50 ± 20d (51)
2011, 2013 (N. Pacific)1,2 38   150 50     8.0 20 (52)
Fin Whale (Balaenoptera physalus)
2014–2018 (Arctic)1 12 44 ± 10d 290 ± 140d 380 ± 200d 150 ± 80d 20 ± 10d 30 ± 20d 70 ± 30d (51)
Minke Whale (Balaenoptera acutorostrata)
2006 (N. Pacific)3 27 38 2000 2600 290 530 160 120 (53)
a

Concentrations reported as ng/g lipid weight or {wet weight}.

b

Collection type: 1biopsied, 2stranded, 3harvested.

c

Reported as observed concentration ng/g (n = 1).

d

Standard deviation.

e

Geometric mean.

f

ND = not detected above LOQ in any samples.

Statistical analysis (using Stata MP version 17.0) of POPs across life-history parameters included concentration data for the 19 most frequently detected compounds in this dataset (see Table S2 for % detection >LOQ), including 9 PCB congeners (52, 95, 99, 101, 118, 138, 149, 153, and 187), two DDTs (p,p′-DDD and p,p′-DDE), five CHLs (α-Chlor, c-Nona, HPE, oxychlor, t-Nona), and three HCHs (HCB, α-HCH, and β-HCH). Analytes with ≥65% of their values < LOQ were excluded from the analysis. Concentration data were log-transformed and values < log(LOQ) were imputed as follows. When a sample- and compound-specific LOQ was below the 10th percentile of all observed measurements above LOQ for that analyte, the value < log(LOQ) was replaced with the log(LOQ)/(square root of 2). When a sample- and compound-specific LOQ was above the 10th percentile of all observed measurements above LOQ for that analyte, the value < log(LOQ) was imputed using multiple imputation with chained equations (MICE)39 to reflect its broader range of plausible values. Imputations of contaminant log-concentrations using MICE were based on the following predictor variables: log-transformed concentrations of the 19 included compounds, reproductive status, sex, adulthood, date, locality (state, country), sample weight, lipid percent, and internal standard (PCB 103) percent recovery. Any imputed value that exceeded the sample-specific log-transformed LOQ was replaced by that log(LOQ). This process yielded 70 imputed datasets that were the basis for statistical analysis of the 19 log-transformed compound concentrations using multiply imputed linear regression models.40 Regression coefficients and robust 95% confidence intervals were then exponentiated to estimate geometric mean ratios (GMR) of contaminant concentrations across life-history parameters (Table 3). Robust standard errors were used since some observations (i.e., repeated observations, mother/calf pairs) were dependent.41,42 A multiple imputation postestimation 1-degree-of-freedom F-test was used to evaluate whether the GMR was significantly different from 1,4345 to identify associations that were Bonferroni-significant at αBonferroni = 0.0003.46

Table 3. Geometric Mean Ratios (and 95% CI) of POP Concentrations in Blubber Biopsies of Gray Whales across Biological Variables Including Sex, Age, and Reproductive Parameters as well as Calving Season (January–April Assumes Continuous Trend between Months)a,d.

  adult M vs F immature M vs F M adult vs immature F adult vs immature mothers vs resting F mothers vs calves January–April mothers January–April calves
  n = 82 n = 35 n = 45 n = 72 n = 52 n = 55 n = 21 n = 29
PCB52 1.99b 0.79 3.85c 1.54b 0.54c 1.24 1.24 1.20
  (1.49–2.65) (0.58–1.09) (2.89–5.13) (1.12–2.11) (0.37–0.79) (0.88–1.75) (0.85–1.80) (0.95–1.52)
PCB95 1.96b 0.79 3.91c 1.57b 0.58b 1.31 1.31 1.15
  (1.45–2.66) (0.55–1.12) (2.86–5.35) (1.11–2.21) (0.37–0.89) (0.88–1.96) (0.85–2.04) (0.90–1.48)
PCB99 2.35b 0.72 6.13c 1.87b 0.40c 1.36 1.26 1.24
  (1.65–3.35) (0.48–1.08) (4.37–8.62) (1.23–2.82) (0.26–0.63) (0.92–2.00) (0.83–1.90) (0.91–1.69)
PCB101 1.85b 0.74 4.31c 1.73b 0.53c 1.43b 1.22 1.18
  (1.41–2.43) (0.54–1.03) (3.27–5.68) (1.26–2.37) (0.37–0.77) (1.03–1.99) (0.84–1.76) (0.94–1.48)
PCB118 2.00b 0.72 5.53c 1.98b 0.39c 1.42 1.26 1.23
  (1.43–2.81) (0.48–1.06) (3.96–7.71) (1.34–2.94) (0.26–0.60) (0.96–2.08) (0.84–1.89) (0.92–1.64)
PCB138 2.09b 0.69 6.60c 2.20b 0.36c 1.53b 1.20 1.22
  (1.47–2.98) (0.46–1.05) (4.71–9.26) (1.45–3.33) (0.23–0.54) (1.06–2.21) (0.85–1.70) (0.93–1.59)
PCB149 2.30b 0.72 6.39c 2.00b 0.44c 1.51b 1.23 1.21
  (1.63–3.23) (0.48–1.07) (4.51–9.07) (1.36–2.93) (0.29–0.67) (1.05–2.19) (0.83–1.80) (0.91–1.60)
PCB153 2.22b 0.68 7.38c 2.27b 0.34c 1.55b 1.17 1.22
  (1.54–3.20) (0.45–1.04) (5.17–10.55) (1.49–3.45) (0.22–0.52) (1.07–2.24) (0.84–1.65) (0.92–1.62)
PCB187 1.95b 0.68 7.49b 2.60b 0.40c 1.93b 1.20 1.20
  (1.29–2.96) (0.42–1.10) (4.80–11.71) (1.66–4.09) (0.24–0.66) (1.21–3.09) (0.75–1.92) (0.88–1.63)
p,p′-DDD 2.03b 0.73 4.92c 1.77b 0.34c 1.18 1.21 1.12
  (1.39–2.98) (0.50–1.08) (3.53–6.86) (1.16–2.70) (0.21–0.55) (0.80–1.73) (0.81–1.80) (0.88–1.43)
p,p′-DDE 2.87b 0.62 11.72c 2.51b 0.12c 1.07 1.10 1.18
  (1.61–5.12) (0.36–1.05) (7.35–18.68) (1.35–4.70) (0.07–0.23) (0.70–1.65) (0.79–1.53) (0.90–1.55)
α-CHLOR 1.08 0.91 1.06 0.90 2.33b 1.47 1.14 1.08
  (0.73–1.59) (0.62–1.35) (0.71–1.59) (0.62–1.30) (1.38–3.93) (0.97–2.23) (0.73–1.80) (0.80–1.44)
c-Nona 2.15b 0.81 3.74c 1.42b 0.58c 1.16 1.15 1.16
  (1.60–2.88) (0.58–1.13) (2.72–5.13) (1.04–1.92) (0.40–0.84) (0.86–1.57) (0.83–1.59) (0.91–1.48)
HPE 1.73b 0.87 1.73b 0.87 0.84 0.86 1.04 1.09
  (1.36–2.21) (0.68–1.11) (1.32–2.26) (0.70–1.08) (0.63–1.11) (0.67–1.11) (0.79–1.37) (0.92–1.30)
oxychlor 3.11b 0.73 5.17c 1.21 0.40c 0.85 1.09 1.16
  (2.13–4.54) (0.49–1.09) (3.56–7.51) (0.81–1.81) (0.25–0.64) (0.57–1.28) (0.75–1.58) (0.82–1.65)
t-Nona 2.40c 0.85 3.88c 1.37b 0.67b 1.19 1.13 1.20
  (1.79–3.23) (0.64–1.12) (2.87–5.25) (1.04–1.80) (0.49–0.93) (0.93–1.53) (0.85–1.50) (0.97–1.48)
HCB 1.49 1.10 0.92 0.68b 1.35 0.74b 0.93 1.19
  (0.98–2.26) (0.73–1.68) (0.58–1.47) (0.48–0.98) (1.00–1.80) (0.57–0.97) (0.78–1.10) (0.98–1.44)
α-HCH 0.92 1.03 0.65b 0.72b 1.34 0.84 0.97 1.06
  (0.64–1.34) (0.78–1.36) (0.44–0.95) (0.55–0.94) (0.93–1.91) (0.59–1.19) (0.68–1.38) (0.89–1.26)
β-HCH 2.48c 0.84 2.57c 0.86 0.57c 0.71b 0.98 1.18
  (1.91–3.22) (0.63–1.10) (1.96–3.35) (0.66–1.12) (0.43–0.74) (0.56–0.89) (0.81–1.19) (0.93–1.49)
a

Gray whales sampled between 2003 and 2017 along the west coast of North America. All related and nonrelated mothers and calves were included. Resting female refers to adult female without a calf and expected to be not pregnant. Immature refers to calves and juveniles.

b

Nominal significance corresponds to CI excluding 1 (p < 0.05).

c

Bonferroni significant based on 1-degree-of-freedom F test for (eb) – 1 = 0 (p < 0.0003).

d

M = male, F = female.

Results and Discussion

Overall Results and Historical Perspective

Overall mean POP concentrations ranked as follows: ∑DDTs > ∑PCBs > ∑CHLs > ∑HCHs > ∑PBDEs (Table 1). The highest analyte concentrations detected were 2430 ng/g for p,p′-DDE, and from 250 to 370 ng/g for HCB, PCB 153, t-Nona, and β-HCH. PBDE 85, PBDE 183, and endosulfan I were not detected above LOQ. The most prevalent compound classes were CHLs and HCHs which were detected above LOQ in 98% of samples, followed by DDTs (93%), PCBs (83%), and PBDEs (46%).

POP concentrations were generally lower than previous gray whale reports (1968–1999)2630 though this is the first report of PBDEs and select HCHs in this species (Table 2). The observed decline of some POP classes could indicate decreased exposure due to the 2001 Stockholm Convention on Persistent Organic Pollutants and other regulatory efforts. Decreased levels of ∑DDTs, ∑PCBs, ∑HCHs, and ∑PBDEs have been observed in Arctic marine biota54 including marine mammals.50,55,56 However, ∑PBDEs also were reported to have increased in Arctic marine animals,57 including belugas (Delphinapterus leucas),55 suggesting this more recently regulated POP class may still bioaccumulate until more degradation or sequestration occurs. The extensive decline (120–300x lower) of ∑PCBs, ∑DDTs, ∑CHLs, and HCB observed in this study compared to the highest reported concentrations in gray whales from 1988 to 199129 likely reflects decreased exposure as well as varying analytical/quantification methodologies, sampling design, tissue qualities, and animal conditions. Previous gray whale studies used GC/ECD2630 or HPLC/PDA26 for POP quantification as opposed to the contemporary GC/MS methodology presented here. While this study also included more analytes, individual congener concentrations were low and thus unlikely to have masked the extent of the observed decline. Most notably, only one prior gray whale POP study included biopsied samples (n = 38)26 and moreover from individuals of unreported sex and age groups, while the others included samples from stranded (n = 47)26,27,29 and harvested (n = 40)28,30 whales. Blubber composition can be influenced significantly by degradation or leaching of lipids before or during necropsy and varies across blubber depths sampled.58 Additionally, utilization of lipids for energy when a whale is sick, injured, or otherwise stressed can lead to contaminants concentrating in remaining blubber or mobilizing into the circulatory system. Indeed, lower mean lipid content and higher ∑PCBs and ∑DDTs blubber concentrations have been detected in stranded versus hunted gray whales, with differences attributed to greater lipid mobilization and associated concentrated contaminants in the remaining blubber, as well as lipid leaching in decomposing stranded whales.28 Importantly, the gray whale study29 (1988–1991) reporting the highest detected mean POP concentrations did feature animals with very low lipid levels (<1–16%) including some that decomposed on the beach for up to a month before sample collection. Additional differences such as sampling timing and locations across migration (and feeding and fasting periods) could also have influenced lipid content and associated POP levels across gray whale studies.28,29 In the previous gray whale studies, around 70% of samples (and all biopsies) were collected in Washington, with the rest from Alaska, California, and the Bering Sea, while the current study sampled between Baja California, Mexico, and Southern British Columbia, Canada (Figure 1). Assessing geographic and seasonal influence on lipid and POP concentrations, while beyond the scope of this paper due to limited sample sizes of adults across location and timing of migration, would provide valuable information for gray whale biology. However, the overall observed trends of contemporary POP concentrations were consistently lower than previous reports regardless of whether calculated on a wet weight or lipid weight basis.

Interspecies Comparisons and Implications

Gray whales, known for their unique diet of benthic invertebrates,59,60 had mean POP concentrations within the range reported for other Northern Hemisphere baleen whales during similar timeframes (Table 2). This range reflects overall low trophic levels and varying feeding strategies and geographical areas. Gray whale POP concentrations were substantially lower than in toothed whales which are susceptible to higher trophic level contaminant biomagnification.49,6164 Interpretations of relatively low contemporary gray whale POP concentrations remain challenging due to significant data gaps concerning cetacean organochlorine metabolism, toxic effects thresholds, and health impacts.6165 Toxic health effects thresholds for PCBs have been developed for marine mammals (using seals, river otters, and mink) based on effects related to immune system suppression, hepatic function, and endocrine system alterations and a variety of biomarkers including (though not exhaustively) retinol and the thyroid and aryl hydrocarbon receptors.6668 In the current study, mean ∑PCB concentrations (190 ng/g) were well below three frequently referenced toxic health effects thresholds for marine mammal blubber including 17,000 ng ∑PCBs/g,66 and more recently, 9000 ng ∑PCBs/g,68 and 1300 ng ∑PCBs/g.67 Only one whale (adult male) in the current study had ∑PCB concentrations (1940 ng/g) between the two lower thresholds. However, these three thresholds are PCB-specific and would likely be lower if additive or synergistic effects of contaminant mixtures were factored into realistic exposure scenarios.7 Additionally, some individuals may be more susceptible to effects such as those in sensitive phases of development (the very young and old) or facing additional stressors such as reproduction, fasting, migration, or illness/injury.69,70 More research is needed toward defining species-specific toxicological risks and thresholds for a wider range of compounds, chemical mixtures, and across biological parameters.

Sex and Age Influence on POP Concentrations

All sex- and age-based patterns of the 19 modeled compounds are reported as ratios of geometric mean concentrations (Table 3). Males comprised 37% of adults and 43% of immatures. Geometric mean concentrations were significantly greater (up to 3-fold) in adult males compared to adult females for 17 of the modeled compounds. A previous gray whale study also found adult males (n = 2) had generally higher concentrations of ∑PCBs, ∑DDTs, and HCB than adult females (n = 6).26 In another gray whale study, adult males (n = 6) had generally higher concentrations of ∑DDTs than adult females (n = 2) but no distinct differences were observed across sexes for ∑PCB, ∑CHLs, or HCB.29 The sex-specific POP patterns observed in adult gray whales are consistent with established accumulation patterns in cetaceans.15,24,71 Geometric mean POP concentrations in immatures (32 calves and 3 juveniles) did not differ significantly between sexes, suggesting similar POP accumulation before reaching reproductive maturity, as previously reported for juvenile gray whales26 and other cetaceans.16,18,19,24,72

Geometric mean POP concentrations were significantly higher in adults compared to immatures for both males (17 compounds, up to 12-fold) and females (13 compounds, up to 3-fold), as commonly reported in cetacean literature.19,24,72,73 Concentrations of p,p′-DDE (a DDT metabolite) and higher chlorinated PCB compounds had the greatest fold difference between adults and immatures of both sexes. In addition to bioaccumulation with age, this pattern could reflect greater metabolization capacity in adults and/or past exposure events experienced only by older individuals.19,21 In contrast, geometric mean POP concentrations of select CHLs and HCHs were similar or lesser (down to 0.7×) in adults versus immatures in both sexes. A previous gray whale study found no significant age-specific patterns for either sex though featured a small sample size.26 While less common, this pattern of decreasing POP concentrations with age in males had been reported previously, for CHLs and HCHs among other classes, in cetaceans and attributed to growth dilution, metabolization, and/or decreased environmental POP levels.25,74

One adult male (H) was sampled across three consecutive years in Northern California (Figure 2). ∑PCB, ∑DDTs, ∑CHLs, ∑HCHs, ∑PBDEs concentrations were higher in 2012 than in 2010, exhibiting overall POP accumulation. However, ∑PCB, ∑CHLs, and ∑HCHs concentrations were lowest in 2011. This observed POP trend was mirrored by the corresponding biopsy blubber percent lipid values (48, 34, and 54%) of this male across the three years. Overall, this suggests inter-annual fluctuations possibly due to varying energetic stressors (fasting, migration, injury, disease, etc.) and associated mobilization and/or reaccumulation of lipids and lipophilic contaminants.12,75

Figure 2.

Figure 2

Temporal patterns of ∑POP class concentrations (ng/g lipid weight) in blubber of individual gray whales repetitively sampled across months and/or years. Note differing scale of y-axis in panel (I). Values below LOQ were imputed as zero.

One female (F) sampled across two life stages (calf, 18% lipid, and juvenile, 37% lipid) exhibited up to a 2-fold increase of ∑POP class concentrations and percent lipid (Figure 2). The number of analytes detected above LOQ also increased from calf (16 compounds) to juvenile (41 compounds, see Tables S4 and S5 for congener-specific concentrations). The observed trend supports POP accumulation across immature age groups in females and reflects the broader range of compounds acquired while feeding on prey versus nursing as a calf.

The age- and sex-related POP patterns observed in this study indicate significant compound-specific maternal contaminant offloading, as further described below.18,19,21,24,7679

Maternal Offloading

All reproduction-based patterns of the 19 modeled compounds are reported as ratios of geometric mean concentrations (Table 3). Cetacean mothers expend substantial lipid reserves during reproduction,80,81 resulting in associated lipophilic contaminant mobilization into the Adult Female (E) bloodstream and subsequent placental or lactational transfer to calves.17,82 Geometric mean POP concentrations were statistically similar in mothers and calves or higher in calves for 15 modeled compounds. This confirms significant maternal contaminant offloading as all calves were sampled during nursing season and expected to be feeding exclusively on milk. Cetacean literature indicates that during gestation and lactation contaminants with a log Kow (octanol-water partition coefficient) below 6.5 tend to readily transfer to calves while those with a higher log Kow are preferentially retained in the mother.17,22,83 This is consistent with reports that low-molecular-weight and less lipid-soluble compounds were more readily transferred.18,8486 Indeed, in the current study, concentrations of PCB52, PCB95, PCB99, DDD, α-CHLOR, c-Nona, HPE, oxychlor, HCB, α-HCH, and ß-HCH (log Kow < 6.5) and PCBs 138, 149, 153, and 187 (log Kow > 6.5) followed expected partitioning. However, PCB 101 (log Kow < 6.5) and PCB118, DDE, and t-nona (log Kow > 6.5) did not, suggesting additional chemical properties and processes (i.e., biotransformation) influence transfer. Maternal offloading exposes calves to contaminants during sensitive phases of development while the associated mobilization of contaminants can also result in redistribution to sensitive organs in the mother.75,87 Both could increase risks for endocrine system disruption, reproductive failure, immunosuppression, or other toxicity.410

Geometric mean POP concentrations in mothers and calves did not appear to change significantly across the early nursing season (January–April, assuming a continuous trend). This was unexpected as offloading rates in cetaceans have been reported to be highest at the beginning of the several month34 nursing period.18,24 However, it is possible that staggered birth dates of the sampled calves obscured the accumulation trend. Gray whale calves are born between December and February with a mean calving date between January 10 and 27.34,88,89 While exact birth dates are challenging (near impossible) to obtain, mean sampling dates of mothers and calves during the 4-month period included in the model were February 25 and March 3, respectively. A few calf samples collected outside the 4-month period were excluded from this model to avoid confounding outliers. Additional samples across a larger range of the nursing period would be needed to characterize maternal offloading rates. The observed steady POP trends across the nursing season in calves could also be the result of growth dilution as total lipids increase rapidly, which has been reported in other cetaceans.22,25,74,90

A mother and calf pair were sampled twice across the 2016 nursing season, on February 18 and March 8. Concentrations of overall ∑POPs decreased in both individuals across the 19 days but trends differed across compound classes (Figure 2, I; see Table S4 for congener-specific concentrations). Concentrations in the mother decreased by 100% for ∑PCBs, ∑DDTs, and ∑PBDEs, and 8% for ∑HCHs, but increased by 7% for ∑CHLs. The absolute decline of ∑PCBs, ∑DDTs, and ∑PBDEs is unlikely to be due exclusively to offloading or other lipid mobilization (maternal lipid percent decreased from 18 to 6%) in such a short period. This could alternatively be explained by a shallow biopsy (resulting in a greater proportion of connective tissue) or lipid leaching. Concentrations in the calf decreased by 50, 32, and 22% for ∑PCBs, ∑DDTs, and ∑CHLs, respectively, while ∑HCHs increased by 14%. PBDEs were never detected above LOQ in the calf. The calf’s lipid levels also decreased (30–26%) which could indicate a decline in nutritional status and subsequent lipid utilization.

Geometric mean concentrations of 15 modeled compounds were statistically lower in mothers compared to reproductively resting females. This pattern substantiates POP offloading as well as reaccumulation of POPs between reproductive events in gray whales. Interestingly, geometric mean concentrations of HPE, HCB, α-HCH, and α-CHLOR, were either similar across reproductive statuses or higher in mothers. Overall, POP concentration differences between mothers and resting females were not explained fully by log Kow or molecular weights. The timing of sampling across the duration of reproductive or resting periods, undetected or unsuccessful reproductive events, and calves’ birth order (firstborn offspring generally receiving greatest offload)16,18,21,24,71,82 could have contributed to these patterns but were unknown, limiting further interpretation.

Repetitively sampled adult females described longitudinal POP patterns, though interpretation remains speculative as their reproductive histories were unknown (Figure 2). Female A had consistently low ∑POP concentrations at years 1 and 3, possibly indicating calving prior to each sampling. This presumes reproduction at the 2-year minimum interval for gray whales91 and sampling around weaning, hence after significant offloading. ∑POP concentrations in Females B and C decreased across years, suggesting reproduction between sampling events. ∑POP concentrations were expectedly stable across one month in Female D and decreased slightly across six months in Female E (possibly indicating pregnancy).

Geometric mean ratios of POP concentrations across sex, age, and reproductive parameters were further analyzed by controlling for years across the 15-year sampling period (Table S3). Overall patterns remained the same for 90–100% of modeled compounds, except when comparing mature versus immature females and mothers versus resting females, where the influence of maturity and reproductive status became less apparent. However, controlling by year was likely limited by data sparsity and therefore relied more heavily on model extrapolation. Accordingly, and since 98% of samples were collected within 7 years (2010–2017), analyses controlled by year were not further pursued.

Implications and Future Directions

This study fills a 20-year data gap in gray whale blubber contaminant monitoring, providing key information for population health assessment of this protected species. This update is particularly relevant considering the ongoing 2019–2022 gray whale UME along the west coast of North America and the associated need for contemporary pre-UME contaminant data. These results add to the limited published data on chemical contaminants in gray whales including the first featuring blubber biopsy samples from individuals of known sex and age groups and from mothers and calves. ∑DDTs, ∑PCBs, and ∑CHLs concentrations were lower in these contemporary gray whales than in previous reports for this population, possibly due to regulatory efforts, while PBDEs and select HCHs were measured for the first time. Continued monitoring of legacy and novel contaminants in gray whales is needed as climate change and increased human activities could affect contaminant transport and exposure and as toxicity risk in cetaceans is poorly understood, particularly for individuals in sensitive life stages or experiencing additional stressors. Maternal offloading, described for the first time in gray whales, was highlighted as the underlying biological basis for significant intraspecific POP patterns across life-history parameters. These data substantiate the importance of considering lifehistory for the design and interpretation of individual and population-wide health monitoring and contaminant risk assessment of this protected species.

Acknowledgments

This work was conducted under the National Marine Fisheries Service (NMFS) Office of Protected Resources’ Marine Mammal Health and Stranding Response Program (MMHSRP) permits 932-1905-MA-009526 and 18786, with assistance from Teri Rowles (NMFS, Silver Spring, MD); Mexico-SGPA/DGVS/00283/16, CITES-17US082589/9, CITES-MX89451; and SWFSC-affiliated researchers’ permits. The Northwest Fisheries Science Center, NMFS West Coast Regional Office, American Cetacean Society (San Francisco Chapter), Emory SCORE (U54AG062334), and Texas Tech University provided funding. Many thanks to all sample contributors and laboratory personnel: Laguna San Ignacio Ecosystem Science Program, Ocean Foundation, Makah Tribe, Humboldt State University Vertebrate Museum and Marine Mammal Stranding Program, NMFS-MMHSRP, Dr. Kelly Robertson (SWFSC), Dr. Jim Dines (Natural History Museum—Los Angeles), Dr. John Ford and Linda Nichol (Fisheries and Oceans Canada), and Dar Boyd, Jonelle Gates, and Dr. Irv Shultz (NWFSC).

Supporting Information Available

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.est.2c05998.

  • Sample IDs and summed POP concentrations; percent detection (>LOQ) of compounds included in statistical analyses; geometric mean ratios of POP concentrations controlled by year; POP concentrations in repetitively sampled Female F and Mother (I) and Calf (I); and PCB and PBDE congener-specific concentrations (PDF)

The authors declare no competing financial interest.

Supplementary Material

es2c05998_si_001.pdf (605.1KB, pdf)

References

  1. Cubero-Pardo P.; Donovan C.; Urbán-Ramírez J. A proposal to define vulnerability of cetacean areas to human development: Variables and analysis procedures applied to the gulf of California. Aquat. Conserv. 2011, 21, 433–447. 10.1002/aqc.1205. [DOI] [Google Scholar]
  2. Parsons E. C. M.; Baulch S.; Bechshoft T.; Bellazzi G.; Bouchet P.; Cosentino A. M.; Godard-Codding C. A. J.; Gulland F.; Hoffmann-Kuhnt M.; Hoyt E.; Livermore S.; MacLeod C. D.; Matrai E.; Munger L.; Ochiai M.; Peyman A.; Recalde-Salas A.; Regnery R.; Rojas-Bracho L.; Salgado-Kent C. P.; Slooten E.; Wang J. Y.; Wilson S. C.; Wright A. J.; Young S.; Zwamborn E.; Sutherland W. J. Key research questions of global importance for cetacean conservation. Endanger. Species Res. 2015, 27, 113–118. 10.3354/esr00655. [DOI] [Google Scholar]
  3. Tanabe S.; Tatsukawa R.; Tanaka H.; Maruyama K.; Miyazaki N.; Fujiyama T. Distribution and total burdens of chlorinated hydrocarbons in bodies of striped dolphins (Stenella coeruleoalba). Agr. Biol. Chem. 1981, 45, 2569–2578. 10.1080/00021369.1981.10864933. [DOI] [Google Scholar]
  4. Brouwer A.; Reijnders P. J. H.; Koeman J. H. Polychlorinated biphenyl (PCB)-contaminated fish induces vitamin A and thyroid hormone deficiency in the common seal (Phoca vitulina). Aquat. Toxicol. 1989, 15, 99–106. 10.1016/0166-445X(89)90008-8. [DOI] [Google Scholar]
  5. Costa L. G.; Giordano G. Developmental neurotoxicity of polybrominated diphenyl ether (PBDE) flame retardants. Neurotoxicology 2007, 28, 1047–1067. 10.1016/j.neuro.2007.08.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Guise S. D.; Martineau D.; Béland P.; Fournier M. Possible mechanisms of action of environmental contaminants on St. Lawrence beluga whales (Delphinapterus leucas). Environ. Health Perspect. 1995, 103, 73–77. 10.2307/3432415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Dietz R.; Letcher R. J.; Desforges J.-P.; Eulaers I.; Sonne C.; Wilson S.; Andersen-Ranberg E.; Basu N.; Barst B. D.; Bustnes J. O.; Bytingsvik J.; Ciesielski T. M.; Drevnick P. E.; Gabrielsen G. W.; Haarr A.; Hylland K.; Jenssen B. M.; Levin M.; McKinney M. A.; Nørregaard R. D.; Pedersen K. E.; Provencher J.; Styrishave B.; Tartu S.; Aars J.; Ackerman J. T.; Rosing-Asvid A.; Barrett R.; Bignert A.; Born E. W.; Branigan M.; Braune B.; Bryan C. E.; Dam M.; Eagles-Smith C. A.; Evans M.; Evans T. J.; Fisk A. T.; Gamberg M.; Gustavson K.; Hartman C. A.; Helander B.; Herzog M. P.; Hoekstra P. F.; Houde M.; Hoydal K.; Jackson A. K.; Kucklick J.; Lie E.; Loseto L.; Mallory M. L.; Miljeteig C.; Mosbech A.; Muir D. C. G.; Nielsen S. T.; Peacock E.; Pedro S.; Peterson S. H.; Polder A.; Rigét F. F.; Roach P.; Saunes H.; Sinding M.-H. S.; Skaare J. U.; Søndergaard J.; Stenson G.; Stern G.; Treu G.; Schuur S. S.; Víkingsson G. Current state of knowledge on biological effects from contaminants on arctic wildlife and fish. Sci. Total Environ. 2019, 696, 133792 10.1016/j.scitotenv.2019.133792. [DOI] [Google Scholar]
  8. Jepson P. D.; Bennett P. M.; Deaville R.; Allchin C. R.; Baker J. R.; Law R. J. Relationships between polychlorinated biphenyls and health status in harbor porpoises (Phocoena phocoena) stranded in the United Kingdom. Environ. Toxicol. Chem. 2005, 24, 238–248. 10.1897/03-663.1. [DOI] [PubMed] [Google Scholar]
  9. Mongillo T. M.; Ylitalo G. M.; Rhodes L. D.; O’Neill S. M.; Noren D. P.; Hanson M. B.. Exposure to a Mixture of Toxic Chemicals: Implications for the Health of Endangered Southern Resident Killer Whales; U.S. Department of Commerce, NOAA Technical Memorandum, 2016; p 107.
  10. Reijnders P. J. H. Reproductive failure in common seals feeding on fish from polluted coastal waters. Nature 1986, 324, 456–457. 10.1038/324456a0. [DOI] [PubMed] [Google Scholar]
  11. Ross P. S.; Ellis G. M.; Ikonomou M. G.; Barrett-Lennard L. G.; Addison R. F. High PCB concentrations in free-ranging Pacific killer whales, Orcinus orca: Effects of age, sex and dietary preference. Mar. Pollut. Bull. 2000, 40, 504–515. 10.1016/S0025-326X(99)00233-7. [DOI] [Google Scholar]
  12. Aguilar A.; Borrell A.; Pastor T. Biological factors affecting variability of persistent pollutant levels in cetaceans. J. Cetacean Res. Manag. 1999, 1, 83–116. 10.47536/jcrm.v1i1.264. [DOI] [Google Scholar]
  13. Godard-Codding C. A. J.; Clark R.; Fossi M. C.; Marsili L.; Maltese S.; West A. G.; Valenzuela L.; Rowntree V.; Polyak I.; Cannon J. C.; Pinkerton K.; Rubio-Cisneros N.; Mesnick S.; Cox S. B.; Kerr I.; Payne R.; Stegeman J. J. Pacific Ocean–wide Profile of CYP1A1 Expression, Stable Carbon and Nitrogen Isotope Ratios, and Organic Contaminant Burden in Sperm Whale Skin Biopsies. Environ. Health Perspect. 2011, 119, 337–343. 10.1289/ehp.0901809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Krahn M. M.; Hanson M. B.; Schorr G. S.; Emmons C. K.; Burrows D. G.; Bolton J. L.; Baird R. W.; Ylitalo G. M. Effects of age, sex and reproductive status on persistent organic pollutant concentrations in “Southern Resident” killer whales. Mar. Pollut. Bull. 2009, 58, 1522–1529. 10.1016/j.marpolbul.2009.05.014. [DOI] [PubMed] [Google Scholar]
  15. Metcalfe C.; Koenig B.; Metcalfe T.; Paterson G.; Sears R. Intra- and inter-species differences in persistent organic contaminants in the blubber of blue whales and humpback whales from the Gulf of St. Lawrence, Canada. Mar. Environ. Res. 2004, 57, 245–260. 10.1016/j.marenvres.2003.08.003. [DOI] [PubMed] [Google Scholar]
  16. Ylitalo G. M.; Matkin C. O.; Buzitis J.; Krahn M. M.; Jones L. L.; Rowles T.; Stein J. E. Influence of life-history parameters on organochlorine concentrations in free-ranging killer whales (Orcinus orca) from Prince William Sound, AK. Sci. Total Environ. 2001, 281, 183–203. 10.1016/S0048-9697(01)00846-4. [DOI] [PubMed] [Google Scholar]
  17. Yordy J. E.; Wells R. S.; Balmer B. C.; Schwacke L. H.; Rowles T. K.; Kucklick J. R. Life history as a source of variation for persistent organic pollutant (POP) patterns in a community of common bottlenose dolphins (Tursiops truncatus) resident to Sarasota Bay, FL. Sci. Total Environ. 2010, 408, 2163–2172. 10.1016/j.scitotenv.2010.01.032. [DOI] [PubMed] [Google Scholar]
  18. Aguilar A.; Borrell A. Reproductive transfer and variation of body load of organochlorine pollutants with age in fin whales (Balaenoptera physalus). Arch. Environ. Contam. Toxicol. 1994, 27, 546–554. 10.1007/BF00214848. [DOI] [PubMed] [Google Scholar]
  19. Aguilar A.; Borrell A. Age- and sex-related changes in organochlorine compound levels in fin whales (Balaenoptera physalus) from the Eastern North Atlantic. Mar. Environ. Res. 1988, 25, 195–211. 10.1016/0141-1136(88)90003-7. [DOI] [Google Scholar]
  20. Barbosa A. P. M.; Méndez-Fernandez P.; Dias P. S.; Santos M. C. O.; Taniguchi S.; Montone R. C. Transplacental transfer of persistent organic pollutants in La Plata dolphins (Pontoporia blainvillei; Cetartiodactyla, Pontoporiidae). Sci. Total Environ. 2018, 631–632, 239–245. 10.1016/j.scitotenv.2018.02.325. [DOI] [PubMed] [Google Scholar]
  21. Borrell A.; Bloch D.; Desportes G. Age trends and reproductive transfer of organochlorine compounds in long-finned pilot whales from the Faroe Islands. Environ. Pollut. 1995, 88, 283–292. 10.1016/0269-7491(95)93441-2. [DOI] [PubMed] [Google Scholar]
  22. Cadieux M. A.; Muir D. C. G.; Béland P.; Hickie B. E. Lactational transfer of polychlorinated-biphenyls (PCBs) and other organochlorines in St. Lawrence beluga whales (Delphinapterus leucas). Arch. Environ. Contam. Toxicol. 2016, 70, 169–179. 10.1007/s00244-015-0223-y. [DOI] [PubMed] [Google Scholar]
  23. Mwevura H.; Amir O. A.; Kishimba M.; Berggren P.; Kylin H. Organohalogen compounds in blubber of Indo-Pacific bottlenose dolphin (Tursiops aduncus) and spinner dolphin (Stenella longirostris) from Zanzibar, Tanzania. Environ. Pollut. 2010, 158, 2200–2207. 10.1016/j.envpol.2010.02.027. [DOI] [PubMed] [Google Scholar]
  24. Wells R. S.; Tornero V.; Borrell A.; Aguilar A.; Rowles T. K.; Rhinehart H. L.; Hofmann S.; Jarman W. M.; Hohn A. A.; Sweeney J. C. Integrating life-history and reproductive success data to examine potential relationships with organochlorine compounds for bottlenose dolphins (Tursiops truncatus) in Sarasota Bay, Florida. Sci. Total Environ. 2005, 349, 106–119. 10.1016/j.scitotenv.2005.01.010. [DOI] [PubMed] [Google Scholar]
  25. Weijs L.; Tibax D.; Roach A. C.; Manning T. M.; Chapman J. C.; Edge K.; Blust R.; Covaci A. Assessing levels of halogenated organic compounds in mass-stranded long-finned pilot whales (Globicephala melas) from Australia. Sci. Total Environ. 2013, 461-462, 117–125. 10.1016/j.scitotenv.2013.04.090. [DOI] [PubMed] [Google Scholar]
  26. Krahn M. M.; Ylitalo G. M.; Burrows D. G.; Calambokidis J.; Moore S. E.; Gosho M.; Gearin P.; Paul P. D.; Brownell R. L.; Blokhin S. A.; Tilbury K. L.; Rowles T.; Stein J. E. Organochlorine contaminant concentrations and lipid profiles in eastern North Pacific gray whales (Eschrichtius robustus). J. Cetacean Res. Manag. 2001, 3, 19–29. [Google Scholar]
  27. Schafer H. A.; Gossett R. W.; Ward C. F.; Westcott A. M.. Chlorinated hydrocarbons in marine mammals. Southern California Coastal Water Research Project, Biennal Report, 1984; pp 1983–1984.
  28. Tilbury K. L.; Stein J. E.; Krone C. A.; Brownell R. L.; Blokhin S. A.; Bolton J. L.; Ernest D. W. Chemical contaminants in juvenile gray whales (Eschrichtius robustus) from a subsistence harvest in Arctic feeding grounds. Chemosphere. 2002, 47, 555–564. 10.1016/S0045-6535(02)00061-9. [DOI] [PubMed] [Google Scholar]
  29. Varanasi U.; Stein J. E.; Tilbury K. L.; Meador J. P.; Sloan C. A.; Clark R. C.; Chan S.-L. Chemical contaminants in gray whales (Eschrichtius robustus) stranded along the west coast of North America. Sci. Total Environ. 1994, 145, 29–53. 10.1016/0048-9697(94)90296-8. [DOI] [PubMed] [Google Scholar]
  30. Wolman A. A.; Wilson A. J. Occurrence of pesticides in whales. Pestic. Monit. J. 1970, 4, 8–10. [PubMed] [Google Scholar]
  31. NOAA. 2019–2022 Gray whale unusual mortality event along the west coast and Alaska. 2022. https://www.fisheries.noaa.gov/national/marine-life-distress/2019-2022-gray-whale-unusual-mortality-event-along-west-coast-and (accessed June 28, 2022).
  32. Oftedal O. T. Lactation in whales and dolphins: Evidence of divergence between baleen- and toothed-species. J. Mammary Gland Biol. Neoplasia 1997, 2, 205–230. 10.1023/A:1026328203526. [DOI] [PubMed] [Google Scholar]
  33. Hammond P. S.; Mizroch S. A.; Donovan G. P.. Individual recognition of cetaceans: use of photo-identification and other techniques to estimate population parameters: incorporating the proceedings of the symposium and workshop on individual recognition and the estimation of cetacean population parameters; International Whaling Commission, 1990; p 12.
  34. Rice D. W.; Wolman A. A. The life history and ecology of the gray whale (Eschrichtius robustus). Am. Soc. of Mammal, Spec. Pub. 1971, 3, 1–21. 10.1201/b16682-5. [DOI] [Google Scholar]
  35. Morin P. A.; Nestler A.; Rubio-Cisneros N. T.; Robertson K. M.; Mesnick S. L. Interfamilial characterization of a region of the ZFX and ZFY genes facilitates sex determination in cetaceans and other mammals. Mol. Ecol. 2005, 14, 3275–3286. 10.1111/j.1365-294X.2005.02651.x. [DOI] [PubMed] [Google Scholar]
  36. DeWoody J. A.; Fernandez N. B.; Brüniche-olsen A.; Antonides J. D.; Doyle J. M.; Miguel P. S.; Westerman R.; Vertyankin V. V.; Godard-Codding C. A. J.; Bickham J. W. Characterization of the gray whale (Eshrichtius robustus) genome and a genotyping array based on single nucleotide polymorphisms in candidate genes. Biol. Bull. 2017, 232, 186–197. 10.1086/693483. [DOI] [PubMed] [Google Scholar]
  37. Sloan C. A.; Anulacion B. F.; Baugh K. A.; Bolton J. L.; Boyd D.; Boyer R. H.; Burrows D. G.; Herman D. P.; Pearce R. W.; Ylitalo G. M.. Northwest Fisheries Science Center’s Analyses of Tissue, Sediment, and Water Samples for Organic Contaminants by Gas Chromatography/ Mass Spectrometry and Analyses of Tissue for Lipid Classes by Thin Layer Chromatography/Flame Ionization Detection, NMFS-NWFSC-125; U.S. Department of Commerce, NOAA Technical Memorandum, 2014.
  38. Sloan C. A.; Anulacion B.; Baugh K. A.; Bolton J. L.; Boyd D.; Chittaro P. M.; da Silva D. A. M.; Gates J. B.; Sanderson B. L.; Veggerby K.; Ylitalo G. M.. Quality Assurance Plan for Analyses of Environmental Samples for Polycyclic Aromatic Hydrocarbons, Persistent Organic Pollutants, Dioctyl Sulfosuccinate, Estrogenic Compounds, Steroids, Hydroxylated Polycyclic Aromatic Hydrocarbons, Stable Isotope Ratios, and Lipid Classes, NMFS- NWFSC-147; U.S. Department of Commerce, NOAA Technical Memorandum, 2019.
  39. Azur M. J.; Stuart E. A.; Frangakis C.; Leaf P. J. Multiple imputation by chained equations: what is it and how does it work?. Int. J. Methods Psychiatr. Res. 2011, 20, 40–9. 10.1002/mpr.329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Rubin D. B.Multiple Imputation for Nonresponse in Surveys; John Wiley & Sons, Inc.: New York, 1987; pp 1–240. [Google Scholar]
  41. Huber P. J. In The Behavior of Maximum Likelihood Estimates under Nonstandard Conditions, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, University of California Press: Berkeley, 1967; Vol. 1, pp 221–233.
  42. White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 1980, 48, 817–838. 10.2307/1912934. [DOI] [Google Scholar]
  43. Li K.-H.; Meng X.-L.; Raghunathan T. E.; Rubin D. B. Significance levels from repeated p-values with multiply-imputed data. Statistica Sinica 1991, 1, 65–92. [Google Scholar]
  44. Barnard J.; Rubin D. B. Small-sample degrees of freedom with multiple imputation. Biometrika 1999, 86, 948–955. 10.1093/biomet/86.4.948. [DOI] [Google Scholar]
  45. Reiter J. P. Small-sample degrees of freedom for multi-component significance tests with multiple imputation for missing data. Biometrika 2007, 94, 502–508. 10.1093/biomet/asm028. [DOI] [Google Scholar]
  46. Dunn O. J. Multiple Comparisons among Means. J. Am. Stat. Assoc. 1961, 56, 52–64. 10.1080/01621459.1961.10482090. [DOI] [Google Scholar]
  47. Remili A.; Gallego P.; Pinzone M.; Castro C.; Jauniaux T.; Garigliany M.-M.; Malarvannan G.; Covaci A.; Das K. Humpback whales (Megaptera novaeangliae) breeding off Mozambique and Ecuador show geographic variation of persistent organic pollutants and isotopic niches. Environ. Pollut. 2020, 267, 115575 10.1016/j.envpol.2020.115575. [DOI] [PubMed] [Google Scholar]
  48. Das K.; Malarvannan G.; Dirtu A.; Dulau V.; Dumont M.; Lepoint G.; Mongin P.; Covaci A. Linking pollutant exposure of humpback whales breeding in the Indian Ocean to their feeding habits and feeding areas off Antarctica. Environ. Pollut. 2017, 220, 1090–1099. 10.1016/j.envpol.2016.11.032. [DOI] [PubMed] [Google Scholar]
  49. Elfes C. T.; VanBlaricom G. R.; Boyd D.; Calambokidis J.; Clapham P. J.; Pearce R. W.; Robbins J.; Salinas J. C.; Straley J. M.; Wade P. R.; Krahn M. M. Geographic variation of persistent organic pollutant levels in humpback whale (megaptera novaeangliae) feeding areas of the north Pacific and north Atlantic. Environ. Toxicol. Chem. 2010, 29, 824–834. 10.1002/etc.110. [DOI] [PubMed] [Google Scholar]
  50. Bolton J. L.; Ylitalo G. M.; Chittaro P.; George J. C.; Suydam R.; Person B. T.; Gates J. B.; Baugh K. A.; Sformo T.; Stimmelmayr R. Multi-year assessment (2006–2015) of persistent organic pollutant concentrations in blubber and muscle from Western Arctic bowhead whales (Balaena mysticetus), North Slope, Alaska. Mar. Pollut. Bull. 2020, 151, 110857 10.1016/j.marpolbul.2019.110857. [DOI] [PubMed] [Google Scholar]
  51. Tartu S.; Fisk A. T.; Götsch A.; Kovacs K. M.; Lydersen C.; Routti H. First assessment of pollutant exposure in two balaenopterid whale populations sampled in the Svalbard Archipelago, Norway. Sci. Total Environ. 2020, 718, 137327 10.1016/j.scitotenv.2020.137327. [DOI] [PubMed] [Google Scholar]
  52. Muñoz-Arnanz J.; Chirife A. D.; Galletti Vernazzani B.; Cabrera E.; Sironi M.; Millán J.; Attard C. R. M.; Jiménez B. First assessment of persistent organic pollutant contamination in blubber of Chilean blue whales from Isla de Chiloé southern Chile. Sci. Total Environ. 2019, 650, 1521–1528. 10.1016/j.scitotenv.2018.09.070. [DOI] [PubMed] [Google Scholar]
  53. Moon H.-B.; Kannan K.; Choi M.; Yu J.; Choi H.-G.; An Y.-R.; Choi S.-G.; Park J.-Y.; Kim Z.-G. Chlorinated and brominated contaminants including PCBs and PBDEs in minke whales and common dolphins from Korean coastal waters. J. Hazard. Mater. 2010, 179, 735–741. 10.1016/j.jhazmat.2010.03.063. [DOI] [PubMed] [Google Scholar]
  54. Rigét F.; Bignert A.; Braune B.; Dam M.; Dietz R.; Evans M.; Green N.; Gunnlaugsdóttir H.; Hoydal K. S.; Kucklick J.; Letcher R.; Muir D.; Schuur S.; Sonne C.; Stern G.; Tomy G.; Vorkamp K.; Wilson S. Temporal trends of persistent organic pollutants in Arctic marine and freshwater biota. Sci. Total Environ. 2019, 649, 99–110. 10.1016/j.scitotenv.2018.08.268. [DOI] [PubMed] [Google Scholar]
  55. Hoguet J.; Keller J. M.; Reiner J. L.; Kucklick J. R.; Bryan C. E.; Moors A. J.; Pugh R. S.; Becker P. R. Spatial and temporal trends of persistent organic pollutants and mercury in beluga whales (Delphinapterus leucas) from Alaska. Sci. Total Environ. 2013, 449, 285–294. 10.1016/j.scitotenv.2013.01.072. [DOI] [PubMed] [Google Scholar]
  56. Lebeuf M.; Noël M.; Trottier S.; Measures L. Temporal trends (1897–2002) of persistent, bioaccumulative and toxic (PBT) chemicals in beluga whales (Delphinapterus leucas) from the St. Lawrence Estuary, Canada. Sci. Total Environ. 2007, 383, 216–31. [DOI] [PubMed] [Google Scholar]
  57. Rigét F.; Bignert A.; Braune B.; Stow J.; Wilson S. Temporal trends of legacy POPs in Arctic biota, an update. Sci. Total Environ. 2010, 408, 2874–2884. 10.1016/j.scitotenv.2009.07.036. [DOI] [PubMed] [Google Scholar]
  58. Krahn M. M.; Herman D. P.; Ylitalo G. M.; Sloan C. A.; Burrows D. G.; Hobbs R. C.; Mahoney B. A.; Yanagida G. K.; Calambokidis J.; Moore S. E. Stratification of lipids, fatty acids and organochlorine contaminants in blubber of white whales and killer whales. J. Cetacean Res. Manage. 2004, 6, 175–189. [Google Scholar]
  59. Dunham J. S.; Duffus D. A. Diet of gray whales (Eschrichtius robustus) in Blayquot Sound, British Columbia, Canada. Mar. Mamm. Sci. 2002, 18, 419–437. [Google Scholar]
  60. Nerini M.A Review of Gray Whale Feeding Ecology. In The Gray Whale: Eschrichtius Robustus, Academic Press Inc., 1984; Vol. 18, pp 423–448. [Google Scholar]
  61. O’Shea T. J.; Brownell R. L. Organochlorine and metal contaminants in baleen whales: a review and evaluation of conservation implications. Sci. Total Environ. 1994, 154, 179–200. 10.1016/0048-9697(94)90087-6. [DOI] [PubMed] [Google Scholar]
  62. Bachman M. J.; Keller J. M.; West K. L.; Jensen B. A. Persistent organic pollutant concentrations in blubber of 16 species of cetaceans stranded in the Pacific Islands from 1997 through 2011. Sci. Total Environ. 2014, 488–489, 115–123. 10.1016/j.scitotenv.2014.04.073. [DOI] [PubMed] [Google Scholar]
  63. Borrell A. PCB and DDTs in Blubber of Cetaceans from the Northeastern North Atlantic. Mar. Pollut. Bull. 1993, 26, 146–151. [Google Scholar]
  64. Romero-Romero S.; Herrero L.; Fernández M.; Gómara B.; Acuña J. L. Biomagnification of persistent organic pollutants in a deep-sea, temperate food web. Sci. Total Environ. 2017, 605–606, 589–597. 10.1016/j.scitotenv.2017.06.148. [DOI] [PubMed] [Google Scholar]
  65. Fair P. A.; Becker P. R. Review of stress in marine mammals. J. Aquat. Ecosyst. Stress Recovery 2000, 7, 335–354. 10.1023/A:1009968113079. [DOI] [Google Scholar]
  66. Kannan K.; Blankenship A. L.; Jones P. D.; Giesy J. P. Toxicity reference values for the toxic effects of polychlorinated biphenyls to aquatic mammals. Hum. Ecol. Risk Assess. 2000, 6, 181–201. 10.1080/10807030091124491. [DOI] [Google Scholar]
  67. Mos L.; Cameron M.; Jeffries S. J.; Koop B. F.; Ross P. S. Risk-based analysis of polychlorinated biphenyl toxicity in harbor seals. Integr. Environ. Assess. Manag. 2010, 6, 631–640. 10.1002/ieam.104. [DOI] [PubMed] [Google Scholar]
  68. Jepson P. D.; Deaville R.; Barber J. L.; Aguilar À.; Borrell A.; Murphy S.; Barry J.; Brownlow A.; Barnett J.; Berrow S.; Cunningham A. A.; Davison N. J.; ten Doeschate M.; Esteban R.; Ferreira M.; Foote A. D.; Genov T.; Giménez J.; Loveridge J.; Llavona Á.; Martin V.; Maxwell D. L.; Papachlimitzou A.; Penrose R.; Perkins M. W.; Smith B.; de Stephanis R.; Tregenza N.; Verborgh P.; Fernandez A.; Law R. J. PCB pollution continues to impact populations of orcas and other dolphins in European waters. Sci. Rep. 2016, 6, 18573 10.1038/srep18573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Borrell A.; Aguilar A. Mother-calf transfer of organochlorine compounds in the common dolphin (Delphinus delphis). Bull. Environ. Contam. Toxicol. 2005, 75, 149–156. 10.1007/s00128-005-0731-y. [DOI] [PubMed] [Google Scholar]
  70. Hall A. J.; McConnell B. J.; Rowles T. K.; Aguilar A.; Borrell A.; Schwacke L.; Reijnders P. J. H.; Wells R. S. Individual-based model framework to assess population consequences of polychlorinated biphenyl exposure in bottlenose dolphins. Environ. Health Perspect. 2006, 114, 60–64. 10.1289/ehp.8053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Cockcroft V. G.; De Kock A. C.; Lord D. A.; Ross G. J. B. Organochlorines in bottlenose dolphins Tursiops truncatus from the east coast of South Africa. S. Afr. J. Mar. Sci. 1989, 8, 207–217. 10.2989/02577618909504562. [DOI] [Google Scholar]
  72. Westgate A. J.; Muir D. C. G.; Gaskin D. E.; Kingsley M. C. S. Concentrations and accumulation patterns of organochlorine contaminants in the blubber of harbour porpoises, Phocoena phocoena, from the coast of Newfoundland, the Gulf of St. Lawrence and the Bay of Fundy/Gulf of Maine. Environ. Pollut. 1997, 95, 105–119. 10.1016/S0269-7491(96)00073-5. [DOI] [PubMed] [Google Scholar]
  73. Hoekstra P. F.; O’Hara T. M.; Pallant S. J.; Solomon K. R.; Muir D. C. G. Bioaccumulation of Organochlorine Contaminants in Bowhead Whales (Balaena mysticetus) from Barrow, Alaska. Arch. Environ. Contam. Toxicol. 2002, 42, 497–507. 10.1007/s00244-001-0046-x. [DOI] [PubMed] [Google Scholar]
  74. Tuerk K. J. S.; Kucklick J. R.; McFee W. E.; Pugh R. S.; Becker P. R. Factors influencing persistent organic pollutant concentrations in the Atlantic white-sided dolphin (Lagenorhynchus acutus). Environ. Toxicol. Chem. 2005, 24, 1079–1087. 10.1897/04-120R.1. [DOI] [PubMed] [Google Scholar]
  75. Bengtson Nash S. M.; Waugh C. A.; Schlabach M. Metabolic concentration of lipid soluble organochlorine burdens in the blubber of southern hemisphere humpback whales through migration and fasting. Environ. Sci. Technol. 2013, 47, 9404–9413. 10.1021/es401441n. [DOI] [PubMed] [Google Scholar]
  76. Burger J. A framework and methods for incorporating gender-related issues in wildlife risk assessment: Gender-related differences in metal levels and other contaminants as a case study. Environ. Res. 2007, 104, 153–162. 10.1016/j.envres.2006.08.001. [DOI] [PubMed] [Google Scholar]
  77. Gui D.; Yu R.; He X.; Tu Q.; Chen L.; Wu Y. Bioaccumulation and biomagnification of persistent organic pollutants in Indo-Pacific humpback dolphins (Sousa chinensis) from the Pearl River Estuary, China. Chemosphere 2014, 114, 106–113. 10.1016/j.chemosphere.2014.04.028. [DOI] [PubMed] [Google Scholar]
  78. Murphy S.; Barber J. L.; Learmonth J. A.; Read F. L.; Deaville R.; Perkins M. W.; Brownlow A.; Davison N.; Penrose R.; Pierce G. J.; Law R. J.; Jepson P. D. Reproductive failure in UK harbour porpoises Phocoena phocoena: legacy of pollutant exposure?. PLoS One 2015, 10, e0131085 10.1371/journal.pone.0131085. [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Wade T. L.; Chambers L.; Gardinali P. R.; Sericano J. L.; Jackson T. J.; et al. Toxaphene, PCB, DDT, and chlordane analyses of beluga whale blubber. Chemosphere 1997, 34, 1351–1357. 10.1016/S0045-6535(96)00432-8. [DOI] [PubMed] [Google Scholar]
  80. Christiansen F.; Vivier F.; Charlton C.; Ward R.; Amerson A.; Burnell S.; Bejder L. Maternal body size and condition determine calf growth rates in southern right whales. Mar. Ecol. Prog. Ser. 2018, 592, 267–282. 10.3354/meps12522. [DOI] [Google Scholar]
  81. Oftedal O. T. Use of maternal reserves as a lactation strategy in large mammals. Proc. Nutr. Soc. 2000, 59, 99–106. 10.1017/S0029665100000124. [DOI] [PubMed] [Google Scholar]
  82. Ridgway S.; Reddy M. Residue levels of several organochlorines in Tursiops truncatus milk collected at varied stages of lactation. Mar. Pollut. Bull. 1995, 30, 609–614. 10.1016/0025-326X(95)00020-N. [DOI] [Google Scholar]
  83. Desforges J. -P. W.; Ross P. S.; Loseto L. L. Transplacental transfer of polychlorinated biphenyls and polybrominated diphenyl ethers in arctic beluga whales (Delphinapterus leucas). Environ. Toxicol. Chem. 2012, 31, 296–300. 10.1002/etc.750. [DOI] [PubMed] [Google Scholar]
  84. Stern G. A.; Muir D. C. G.; Segstro M. D.; Dietz R.; Heide-Jørgensen M. P. PCB’s and other organochlorine contaminants in white whales (Delphinapterus leucas) from West Greenland: Variations with age and sex. Medd. Grønl. 1994, 39, 245–259. [Google Scholar]
  85. Tanabe S.; Tatsukawa R.; Maruyama K.; Miyazaki N. Transplacental transfer of PCBs and chlorinated hydrocarbon pesticides from the pregnant striped dolphin (Stenella coeruleoalba) to her fetus. Agr. Biol. Chem. 1982, 46, 1249–1254. 10.1080/00021369.1982.10865248. [DOI] [Google Scholar]
  86. Haraguchi K.; Hisamichi Y.; Endo T. Accumulation and mother-to-calf transfer of anthropogenic and natural organohalogens in killer whales (Orcinus orca) stranded on the Pacific coast of Japan. Sci. Total Environ. 2009, 407, 2853–2859. 10.1016/j.scitotenv.2009.01.003. [DOI] [PubMed] [Google Scholar]
  87. Debier C.; Chalon C.; Le Boeuf B. J.; de Tillesse T.; Larondelle Y.; Thomé J. P. Mobilization of PCBs from blubber to blood in northern elephant seals (Mirounga angustirostris) during the post-weaning fast. Aquat. Toxicol. 2006, 80, 149–157. 10.1016/j.aquatox.2006.08.002. [DOI] [PubMed] [Google Scholar]
  88. Rice D. W.; Wolman A. A.; Braham H. W.. The Gray Whale, Eschrichtius robustus. In Marine Fisheries Review; New NMFS Scientific, 1984; Vol. 46, pp 7–14. [Google Scholar]
  89. Perryman W. L.; Lynn M. S. Evaluation of nutritive condition and reproductive status of migrating gray whales (Eschrichtius robustus) based on analysis of photogrammetric data. J. Cetacean Res. Manag. 2002, 4, 155–164. [Google Scholar]
  90. Hickie B. E.; Cadieux M. A.; Riehl K. N.; Bossart G. D.; Alava J. J.; Fair P. A. Modeling PCB-bioaccumulation in the bottlenose dolphin (Tursiops truncatus): estimating a dietary threshold concentration. Environ. Sci. Technol. 2013, 47, 12314–12324. 10.1021/es403166b. [DOI] [PubMed] [Google Scholar]
  91. Jones M. L.; Swartz S. L.. Gray whale: Eschrichtius robustus. In Encyclopedia of Marine Mammals, 2nd ed.; Perrin W. F.; Würsig B.; Thewissen J. G. M., Eds.; Academic Press: San Diego, 2009; pp 503–511. [Google Scholar]

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