Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model

There is concern over possible effects on ecosystems and humans from exposure to persistent organic pollutants (POPs) and chemicals with similar properties. The main objective of this study was to develop, evaluate, and apply the Nested Exposure Model (NEM) designed to simulate the link between glob...

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Published in:Environmental Science: Processes & Impacts
Main Authors: Krogseth, Ingjerd Sunde, Breivik, Knut, Frantzen, Sylvia, Nilsen, Bente Merete, Eckhardt, Sabine, Nøst, Therese Haugdahl, Wania, Frank
Format: Article in Journal/Newspaper
Language:English
Published: 2023
Subjects:
Online Access:http://hdl.handle.net/10852/105581
https://doi.org/10.1039/D2EM00439A
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spelling ftoslouniv:oai:www.duo.uio.no:10852/105581 2023-11-12T04:12:43+01:00 Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model ENEngelskEnglishModelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model Krogseth, Ingjerd Sunde Breivik, Knut Frantzen, Sylvia Nilsen, Bente Merete Eckhardt, Sabine Nøst, Therese Haugdahl Wania, Frank 2023-10-10T10:05:15Z http://hdl.handle.net/10852/105581 https://doi.org/10.1039/D2EM00439A EN eng NFR/244298 NFR/267574 NFR/287114 NFR/311503 FRAM/132018 FRAM/142018 FRAM/522018 NILU/117044 NILU/117056 NILU/115027 NILU/119008 NILU/118058 NILU/118037 NILU/122060 Krogseth, Ingjerd Sunde Breivik, Knut Frantzen, Sylvia Nilsen, Bente Merete Eckhardt, Sabine Nøst, Therese Haugdahl Wania, Frank . Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model. Environmental Science: Processes & Impacts. 2023 http://hdl.handle.net/10852/105581 2183186 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Environmental Science: Processes & Impacts&rft.volume=&rft.spage=&rft.date=2023 Environmental Science: Processes & Impacts https://doi.org/10.1039/D2EM00439A Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ 2050-7887 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2023 ftoslouniv https://doi.org/10.1039/D2EM00439A 2023-10-18T22:39:27Z There is concern over possible effects on ecosystems and humans from exposure to persistent organic pollutants (POPs) and chemicals with similar properties. The main objective of this study was to develop, evaluate, and apply the Nested Exposure Model (NEM) designed to simulate the link between global emissions and resulting ecosystem exposure while accounting for variation in time and space. NEM, using environmental and biological data, global emissions, and physicochemical properties as input, was used to estimate PCB-153 concentrations in seawater and biota of the Norwegian marine environment from 1930 to 2020. These concentrations were compared to measured concentrations in (i) seawater, (ii) an Arctic marine food web comprising zooplankton, fish and marine mammals, and (iii) Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua) from large baseline studies and monitoring programs. NEM reproduced PCB-153 concentrations in seawater, the Arctic food web, and Norwegian fish within a factor of 0.1–31, 0.14–3.1, and 0.09–21, respectively. The model also successfully reproduced measured trophic magnification factors for PCB-153 at Svalbard as well as geographical variations in PCB-153 burden in Atlantic cod between the Skagerrak, North Sea, Norwegian Sea, and Barents Sea, but estimated a steeper decline in PCB-153 concentration in herring and cod during the last decades than observed. Using the evaluated model with various emission scenarios showed the important contribution of European and global primary emissions for the PCB-153 load in fish from Norwegian marine offshore areas. Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model Article in Journal/Newspaper Arctic atlantic cod Barents Sea Gadus morhua Norwegian Sea Svalbard Zooplankton Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Arctic Svalbard Barents Sea Norwegian Sea Environmental Science: Processes & Impacts
institution Open Polar
collection Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
op_collection_id ftoslouniv
language English
description There is concern over possible effects on ecosystems and humans from exposure to persistent organic pollutants (POPs) and chemicals with similar properties. The main objective of this study was to develop, evaluate, and apply the Nested Exposure Model (NEM) designed to simulate the link between global emissions and resulting ecosystem exposure while accounting for variation in time and space. NEM, using environmental and biological data, global emissions, and physicochemical properties as input, was used to estimate PCB-153 concentrations in seawater and biota of the Norwegian marine environment from 1930 to 2020. These concentrations were compared to measured concentrations in (i) seawater, (ii) an Arctic marine food web comprising zooplankton, fish and marine mammals, and (iii) Atlantic herring (Clupea harengus) and Atlantic cod (Gadus morhua) from large baseline studies and monitoring programs. NEM reproduced PCB-153 concentrations in seawater, the Arctic food web, and Norwegian fish within a factor of 0.1–31, 0.14–3.1, and 0.09–21, respectively. The model also successfully reproduced measured trophic magnification factors for PCB-153 at Svalbard as well as geographical variations in PCB-153 burden in Atlantic cod between the Skagerrak, North Sea, Norwegian Sea, and Barents Sea, but estimated a steeper decline in PCB-153 concentration in herring and cod during the last decades than observed. Using the evaluated model with various emission scenarios showed the important contribution of European and global primary emissions for the PCB-153 load in fish from Norwegian marine offshore areas. Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model
format Article in Journal/Newspaper
author Krogseth, Ingjerd Sunde
Breivik, Knut
Frantzen, Sylvia
Nilsen, Bente Merete
Eckhardt, Sabine
Nøst, Therese Haugdahl
Wania, Frank
spellingShingle Krogseth, Ingjerd Sunde
Breivik, Knut
Frantzen, Sylvia
Nilsen, Bente Merete
Eckhardt, Sabine
Nøst, Therese Haugdahl
Wania, Frank
Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model
author_facet Krogseth, Ingjerd Sunde
Breivik, Knut
Frantzen, Sylvia
Nilsen, Bente Merete
Eckhardt, Sabine
Nøst, Therese Haugdahl
Wania, Frank
author_sort Krogseth, Ingjerd Sunde
title Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model
title_short Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model
title_full Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model
title_fullStr Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model
title_full_unstemmed Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model
title_sort modelling pcb-153 in northern ecosystems across time, space, and species using the nested exposure model
publishDate 2023
url http://hdl.handle.net/10852/105581
https://doi.org/10.1039/D2EM00439A
geographic Arctic
Svalbard
Barents Sea
Norwegian Sea
geographic_facet Arctic
Svalbard
Barents Sea
Norwegian Sea
genre Arctic
atlantic cod
Barents Sea
Gadus morhua
Norwegian Sea
Svalbard
Zooplankton
genre_facet Arctic
atlantic cod
Barents Sea
Gadus morhua
Norwegian Sea
Svalbard
Zooplankton
op_source 2050-7887
op_relation NFR/244298
NFR/267574
NFR/287114
NFR/311503
FRAM/132018
FRAM/142018
FRAM/522018
NILU/117044
NILU/117056
NILU/115027
NILU/119008
NILU/118058
NILU/118037
NILU/122060
Krogseth, Ingjerd Sunde Breivik, Knut Frantzen, Sylvia Nilsen, Bente Merete Eckhardt, Sabine Nøst, Therese Haugdahl Wania, Frank . Modelling PCB-153 in northern ecosystems across time, space, and species using the nested exposure model. Environmental Science: Processes & Impacts. 2023
http://hdl.handle.net/10852/105581
2183186
info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Environmental Science: Processes & Impacts&rft.volume=&rft.spage=&rft.date=2023
Environmental Science: Processes & Impacts
https://doi.org/10.1039/D2EM00439A
op_rights Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/
op_doi https://doi.org/10.1039/D2EM00439A
container_title Environmental Science: Processes & Impacts
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