Contrasting PCB bioaccumulation patterns among Lake Huron lake trout reflect basin‐specific ecology

Paterson, Gordon; Ryder, Mark I.; Drouillard, Ken G.; Haffner, G. Douglas

doi:10.1002/etc.3179

Cited by 24 publications

(34 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, should prey communities, abundances, and food-web structures be similar across multiple compartments of the same ecosystem, this would be expected to manifest in similar magnitudes and patterns of congener bioaccumulation among individuals of the same species. That basin-specific PCB profiles have now been demonstrated for top predator (Paterson et al 2016) and secondary consumer forage fish species collected from across Lake Huron confirms conclusions regarding the importance of lower trophic level processes in regulating pollutant and energy transfer within the Lake Huron food webs (Bunnell et al 2014;Paterson et al 2014;McLeod et al 2019). Bunnell et al (2014) concluded that bottom-up control mechanisms predominate in terms of nutrient and energy availability and flow in Lake Huron.…”

Section: Discussionmentioning

confidence: 55%

“…Critically, these differences are likely due to ecological and biological mechanisms owing to an absence of spatial patterns in sediment PCB contamination and negligible historical differences in the extent of dissolved aqueous PCB concentrations within and among Lake Huron's basins (Glooschenko et al 1976;Anderson et al 1999;Gewurtz et al 2008). Paterson et al (2016) concluded that basin-specific PCB bioaccumulation profiles observed among Lake Huron lake trout were representative of high degrees of basin-fidelity, with differences in prey abundances, foraging ecologies, and growth patterns playing significant roles in the magnitude and patterns of PCB congener bioaccumulation in this top predator. For the forage fish included in the present study, contrasting congener bioaccumulation profiles among individuals of the same species but collected from different locations within Lake Huron suggest similar basin-specific processes regulating pollutant exposure and assimilation.…”

Section: Discussionmentioning

confidence: 99%

“…Should the extent of trophic restructuring reported for Lake Huron's Main Basin have also occurred in the North Channel and Georgian Bay, then we predicted that pollutant profiles for each of these species should be similar across the 3 basins. However, should forage fish pollutant bioaccumulation profiles differ markedly for each of these species across Lake Huron's 3 basins, such evidence in combination with basin-specific PCB concentrations and congener profiles observed for Lake Huron top predators (Paterson et al 2016) supports contrasting degrees of food-web restructuring and energy flow across this ecosystem.…”

Section: Introductionmentioning

confidence: 94%

“…However, the extent to which such ecological restructuring has occurred in the food webs from each of Lake Huron's 3 basins remains unknown. Recent studies have demonstrated contrasting responses among Lake Huron lake trout with respect to mercury (Hg) and polychlorinated biphenyl (PCB) bioaccumulation in fish collected from each of the lake's 3 basins (Abma et al 2015;Paterson et al 2016). These include a general concentration gradient for Hg and total PCB concentrations with Main Basin > Georgian Bay > North Channel fish and unique PCB congener profiles for fish depending on the basin of collection (Abma et al 2015;Paterson et al 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Such differences in foraging behaviors potentially reflect the rewiring of food-web predator-prey interactions that can occur following stressor events that can function to alter energy flow through previously established but minimally exploited linkages (Bartley et al 2019). Importantly, such food-web rewiring on a basinspecific scale likely contributes to the contrasting PCB profiles demonstrated among Lake Huron lake trout (Paterson et al 2016), but it is unknown whether such patterns are also present among Lake Huron's forage fish populations.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Basin‐Specific Pollutant Bioaccumulation Patterns Define Lake Huron Forage Fish

Paterson

Pierdomenico

Haffner

2020

Enviro Toxic and Chemistry

Self Cite

View full text Add to dashboard Cite

The Lake Huron ecosystem is unique among the Laurentian Great Lakes (USA/Canada) in that its surface area encompasses 3 distinct basins. This ecosystem recently experienced significant ecological restructuring characterized by changes in primary production, species dominance and abundances, and top predator energy dynamics. However, much of the evidence for this restructuring has been largely derived from biomonitoring data obtained from long‐term sampling of the lake's Main Basin. We examined polychlorinated biphenyl (PCB) concentrations and the stable isotopes of carbon (δ13C) and nitrogen (δ15N) in rainbow smelt (Osmerus mordax), bloater (Coregonus hoyi), and round goby (Neogobius melanostomus) to determine spatial variability in these environmental markers as indicators of the ubiquity of trophic restructuring throughout Lake Huron. Stable isotopes indicated that North Channel fish occupied trophic positions between 0.5 and 1.0 lower relative to Main Basin and Georgian Bay conspecifics, respectively. Sum PCB concentrations for 41 congeners were highest for fish from the Main Basin (27.5 ± 3.0 ng g−1 wet wt) and Georgian Bay (26.3 ± 3.4 ng g−1 wet wt) relative to North Channel (13.6 ± 1.2 ng g−1 wet wt) fish. Discriminant functions analysis demonstrated basin‐specific PCB congener profiles with individual species also having distinct profiles dependent on their basin of collection. These bioaccumulation patterns among Lake Huron forage fish mirror those reported for lake trout in this lake and indicate that the degree of food‐web ecological restructuring in Lake Huron is not equivalent across the basins. Specifically, basin‐specific PCB congener profiles demonstrated that differences among Lake Huron secondary and top predator consumer species are likely dictated by cross‐basin differences in zooplankton community ecology and trophodynamics that can regulate the efficiencies of prey energy transfer and PCB congener bioaccumulation patterns in aquatic food webs. Environ Toxicol Chem 2020;39:1712–1723. © 2020 SETAC

show abstract

Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Basin‐Specific Pollutant Bioaccumulation Patterns Define Lake Huron Forage Fish

Paterson

Pierdomenico

Haffner

2020

Enviro Toxic and Chemistry

Self Cite

View full text Add to dashboard Cite

show abstract

Model‐based exploration of the variability in lake trout (Salvelinus namaycush) bioaccumulation factors: The influence of physiology and trophic relationships

Baskaran¹,

Armitage²,

Wania³

2019

Enviro Toxic and Chemistry

View full text Add to dashboard Cite

Because dietary consumption of fish is often a major vector of human exposure to persistent organic pollutants (POPs), much effort is directed toward a quantitative understanding of fish bioaccumulation using mechanistic models. However, many such models fail to explicitly consider how uptake and loss rate constants relate to fish physiology. We calculated the bioaccumulation factors (BAFs) of hypothetical POPs, with octanol–water partition coefficients ranging from 104.5 to 108.5, in lake trout (Salvelinus namaycush) with a food‐web bioaccumulation model that uses bioenergetics to ensure that physiological parameters applied to a species are internally consistent. We modeled fish in 6 Canadian lakes (Great Slave Lake, Lake Ontario, Source Lake, Happy Isle Lake, Lake Opeongo, and Lake Memphremagog) to identify the factors that cause the BAFs of differently sized lake trout to vary between and within lakes. When comparing differently sized lake trout within a lake, larger fish tend to have the highest BAF because they allocate less energy toward growth than smaller fish and have higher activity levels. When comparing fish from different lakes, the model finds that diet composition and prey energy density become important in determining the BAF, in addition to activity and the amount of total energy allocated to growth. Environ Toxicol Chem 2019;38:831–840. © 2019 SETAC

show abstract

A Multitracer Approach to Quantifying Resource Utilization Strategies in Lake Trout Populations in Lake Huron

McLeod

Pierdomenico

Haffner

2019

Environ Toxicol Chem

Self Cite

View full text Add to dashboard Cite

Lake ecosystems are threatened by an array of stressors. An understanding of how food webs and bioaccumulation dynamics respond to these challenges requires the quantification of energy flow. We present a combined, multitracer approach using both polychlorinated biphenyls (PCBs) and stable isotopes to trace energy flow, and to quantify how lake trout feeding strategies have adapted to changes in food web structure in 3 basins of Lake Huron (ON, Canada). This combined tracer approach allows the quantification of dietary proportions (using stable isotopes), which are then integrated using a novel PCB tracer approach that employs knowledge of PCB bioaccumulation pathways, to estimate consumption and quantify energy flow between age cohorts of individual fish across Lake Huron. We observed basin‐specific differences in ultimate energy sources for lake trout, with Georgian Bay lake trout deriving almost 70% of their energy from benthic resources compared with 16 and 33% for Main Basin and North Channel lake trout, respectively. These differences in resource utilization are further magnified when they are contrasted with age. The dependency on pelagic energy sources in the Main Basin and North Channel suggests that these populations will be the most negatively affected by the ongoing trophic collapse in Lake Huron. Our study demonstrates the utility of a multitracer approach to quantify the consequences of food web adaptations to changes in aquatic ecosystems. Environ Toxicol Chem 2019;38:1245–1255. © 2019 SETAC

show abstract

Contrasting PCB bioaccumulation patterns among Lake Huron lake trout reflect basin‐specific ecology

Cited by 24 publications

References 43 publications

Basin‐Specific Pollutant Bioaccumulation Patterns Define Lake Huron Forage Fish

Basin‐Specific Pollutant Bioaccumulation Patterns Define Lake Huron Forage Fish

Model‐based exploration of the variability in lake trout (Salvelinus namaycush) bioaccumulation factors: The influence of physiology and trophic relationships

A Multitracer Approach to Quantifying Resource Utilization Strategies in Lake Trout Populations in Lake Huron

Contact Info

Product

Resources

About