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Implications of Trophic Variability for Modeling Biomagnification of POPs in Marine Food Webs in the Svalbard Archipelago. | LitMetric

Implications of Trophic Variability for Modeling Biomagnification of POPs in Marine Food Webs in the Svalbard Archipelago.

Environ Sci Technol

Department of Environmental Science, Institute for Wetland and Water Research, Faculty of Science, Radboud University, P.O. Box 9010, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands.

Published: April 2020

AI Article Synopsis

  • Persistent organic pollutants (POPs) pose significant risks to Arctic organisms, leading to reproductive issues and mortality, while the Arctic itself serves as a chemical sink for these harmful substances.
  • Existing bioaccumulation models, mostly validated for temperate ecosystems, struggle to accommodate the diverse trophic levels found in the Arctic, prompting the use of Monte Carlo simulations to enhance predictions with the OMEGA model.
  • The study found that predictions of POP residues in Arctic biota were accurate within a factor of 6 compared to monitored results, indicating that including trophic variability does impact model performance but requires more data for thorough understanding.

Article Abstract

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, 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144221PMC
http://dx.doi.org/10.1021/acs.est.9b06666DOI Listing

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