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Implications of Trophic Variability for Modeling Biomagnification of POPs in Marine Food Webs in the Svalbard Archipelago
[Image: see text] 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....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144221/ https://www.ncbi.nlm.nih.gov/pubmed/32129610 http://dx.doi.org/10.1021/acs.est.9b06666 |
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author | Hoondert, Renske P. J. van den Brink, Nico W. van den Heuvel-Greve, Martine J. Ragas, AdM. J. Jan Hendriks, A. |
author_facet | Hoondert, Renske P. J. van den Brink, Nico W. van den Heuvel-Greve, Martine J. Ragas, AdM. J. Jan Hendriks, A. |
author_sort | Hoondert, Renske P. J. |
collection | PubMed |
description | [Image: see text] 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. |
format | Online Article Text |
id | pubmed-7144221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-71442212020-04-10 Implications of Trophic Variability for Modeling Biomagnification of POPs in Marine Food Webs in the Svalbard Archipelago Hoondert, Renske P. J. van den Brink, Nico W. van den Heuvel-Greve, Martine J. Ragas, AdM. J. Jan Hendriks, A. Environ Sci Technol [Image: see text] 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. American Chemical Society 2020-03-04 2020-04-07 /pmc/articles/PMC7144221/ /pubmed/32129610 http://dx.doi.org/10.1021/acs.est.9b06666 Text en Copyright © 2020 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Hoondert, Renske P. J. van den Brink, Nico W. van den Heuvel-Greve, Martine J. Ragas, AdM. J. Jan Hendriks, A. Implications of Trophic Variability for Modeling Biomagnification of POPs in Marine Food Webs in the Svalbard Archipelago |
title | Implications of Trophic Variability for Modeling Biomagnification
of POPs in Marine Food Webs in the Svalbard Archipelago |
title_full | Implications of Trophic Variability for Modeling Biomagnification
of POPs in Marine Food Webs in the Svalbard Archipelago |
title_fullStr | Implications of Trophic Variability for Modeling Biomagnification
of POPs in Marine Food Webs in the Svalbard Archipelago |
title_full_unstemmed | Implications of Trophic Variability for Modeling Biomagnification
of POPs in Marine Food Webs in the Svalbard Archipelago |
title_short | Implications of Trophic Variability for Modeling Biomagnification
of POPs in Marine Food Webs in the Svalbard Archipelago |
title_sort | implications of trophic variability for modeling biomagnification
of pops in marine food webs in the svalbard archipelago |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144221/ https://www.ncbi.nlm.nih.gov/pubmed/32129610 http://dx.doi.org/10.1021/acs.est.9b06666 |
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