Implications of Trophic Variability for Modeling Biomagnification of POPs in Marine Food Webs in the Svalbard Archipelago
| Autor: | A. Jan Hendriks, Martine J. van den Heuvel-Greve, Nico W. van den Brink, Ad M.J. Ragas, Renske P. J. Hoondert |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Food Chain
Biomagnification 010501 environmental sciences Toxicology 01 natural sciences Article Svalbard Food chain Onderz. Form. D Temperate climate Environmental Chemistry Life Science Animals Ecosystem Toxicologie 0105 earth and related environmental sciences Trophic level Pollutant WIMEK Ecology Arctic Regions Fishes Biota General Chemistry Bioaccumulation Arctic Environmental science Environmental Pollutants Water Pollutants Chemical Environmental Sciences Environmental Monitoring |
| Zdroj: | Environmental Science and Technology, 54, 4026-4035 Environmental science & technology, 54(7), 4026-4035 Environmental Science and Technology, 54, 7, pp. 4026-4035 Environmental Science & Technology Environmental science & technology 54 (2020) 7 |
| ISSN: | 0013-936X |
| Popis: | The occurrence of persistent organic pollutants (POPs) in the Arctic has been of constant concern, as these chemicals cause reproductive effects and mortality in organisms. The Arctic acts as a chemical sink, which makes this system an interesting case for bioaccumulation studies. However, as conducting empirical studies for all Arctic species and POPs individually is unfeasible, in silico methods have been developed. Existing bioaccumulation models are predominately validated for temperate food chains, and do not account for a large variation in trophic levels. This study applies Monte Carlo simulations to account for variability in trophic ecology on Svalbard when predicting bioaccumulation of POPs using the optimal modeling for ecotoxicological applications (OMEGA) bioaccumulation model. Trophic magnification factors (TMFs) were calculated accordingly. Comparing our model results with monitored POP residues in biota revealed that, on average, all predictions fell within a factor 6 of the monitored POP residues in biota. Trophic variability did not affect model performance tremendously, with up to a 25% variability in performance metrics. To our knowledge, we were the first to include trophic variability in predicting biomagnification in Arctic ecosystems using a mechanistic biomagnification model. However, considerable amounts of data are required to quantify the implications of trophic variability on biomagnification of POPs in Arctic food webs. |
| Databáze: | OpenAIRE |
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