Model‐based exploration of the variability in lake trout ( Salvelinus namaycush) bioaccumulation factors: The influence of physiology and trophic relationships
Abstract 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 upta...
| Published in: | Environmental Toxicology and Chemistry |
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| Main Authors: | , , |
| Other Authors: | |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Wiley
2019
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1002/etc.4368 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fetc.4368 https://onlinelibrary.wiley.com/doi/pdf/10.1002/etc.4368 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/etc.4368 https://setac.onlinelibrary.wiley.com/doi/pdf/10.1002/etc.4368 |
| Summary: | Abstract 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 10 4.5 to 10 8.5 , 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 |
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