Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective
Oil spills resulting from maritime accidents pose a poorly understood risk to the Arctic environment. We propose a novel probabilistic method to quantitatively assess these risks. Our method accounts for spatiotemporally varying population distributions, the spreading of oil, and seasonally varying...
Published in: | Environmental Science & Technology |
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American Chemical Society
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ftunivhelsihelda:oai:helda.helsinki.fi:10138/313529 2024-01-07T09:40:41+01:00 Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective Helle, Inari Mäkinen, Jussi Antti-Eerikki Nevalainen, Maisa Katariina Afenyo, Mawuli Vanhatalo, Jarno Environmental and Ecological Statistics Group Helsinki Institute of Sustainability Science (HELSUS) Ecosystems and Environment Research Programme Research Centre for Ecological Change Organismal and Evolutionary Biology Research Programme Department of Mathematics and Statistics Biostatistics Helsinki 2020-03-23T10:55:05Z 10 application/pdf http://hdl.handle.net/10138/313529 eng eng American Chemical Society 10.1021/acs.est.9b07086 Suomen Akatemia Projektilaskutus Helle , I , Mäkinen , J A-E , Nevalainen , M K , Afenyo , M & Vanhatalo , J 2020 , ' Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective ' , Environmental Science & Technology , vol. 54 , no. 4 , pp. 2112-2121 . https://doi.org/10.1021/acs.est.9b07086 ORCID: /0000-0001-9006-0899/work/71182263 ORCID: /0000-0001-6599-8279/work/71184008 5eec4641-459f-4e1a-9204-e4059a6efa32 http://hdl.handle.net/10138/313529 000514759000007 cc_by openAccess info:eu-repo/semantics/openAccess 1181 Ecology evolutionary biology 1172 Environmental sciences 1171 Geosciences 112 Statistics and probability MODEL SEA ICE TRANSPORT FATE Article publishedVersion 2020 ftunivhelsihelda 2023-12-14T00:11:52Z Oil spills resulting from maritime accidents pose a poorly understood risk to the Arctic environment. We propose a novel probabilistic method to quantitatively assess these risks. Our method accounts for spatiotemporally varying population distributions, the spreading of oil, and seasonally varying species-specific exposure potential and sensitivity to oil. It quantifies risk with explicit uncertainty estimates, enables one to compare risks over large geographic areas, and produces information on a meaningful scale for decision-making. We demonstrate the method by assessing the short-term risks oil spills pose to polar bears, ringed seals, and walrus in the Kara Sea, the western part of the Northern Sea Route. The risks differ considerably between species, spatial locations, and seasons. Our results support current aspirations to ban heavy fuel oil in the Arctic but show that we should not underestimate the risks of lighter oils either, as these oils can pollute larger areas than heavier ones. Our results also highlight the importance of spatially explicit season-specific oil spill risk assessment in the Arctic and that environmental variability and the lack of data are a major source of uncertainty related to the oil spill impacts. Peer reviewed Article in Journal/Newspaper Arctic Arctic Kara Sea Northern Sea Route Sea ice walrus* HELDA – University of Helsinki Open Repository Arctic Kara Sea Environmental Science & Technology 54 4 2112 2121 |
institution |
Open Polar |
collection |
HELDA – University of Helsinki Open Repository |
op_collection_id |
ftunivhelsihelda |
language |
English |
topic |
1181 Ecology evolutionary biology 1172 Environmental sciences 1171 Geosciences 112 Statistics and probability MODEL SEA ICE TRANSPORT FATE |
spellingShingle |
1181 Ecology evolutionary biology 1172 Environmental sciences 1171 Geosciences 112 Statistics and probability MODEL SEA ICE TRANSPORT FATE Helle, Inari Mäkinen, Jussi Antti-Eerikki Nevalainen, Maisa Katariina Afenyo, Mawuli Vanhatalo, Jarno Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective |
topic_facet |
1181 Ecology evolutionary biology 1172 Environmental sciences 1171 Geosciences 112 Statistics and probability MODEL SEA ICE TRANSPORT FATE |
description |
Oil spills resulting from maritime accidents pose a poorly understood risk to the Arctic environment. We propose a novel probabilistic method to quantitatively assess these risks. Our method accounts for spatiotemporally varying population distributions, the spreading of oil, and seasonally varying species-specific exposure potential and sensitivity to oil. It quantifies risk with explicit uncertainty estimates, enables one to compare risks over large geographic areas, and produces information on a meaningful scale for decision-making. We demonstrate the method by assessing the short-term risks oil spills pose to polar bears, ringed seals, and walrus in the Kara Sea, the western part of the Northern Sea Route. The risks differ considerably between species, spatial locations, and seasons. Our results support current aspirations to ban heavy fuel oil in the Arctic but show that we should not underestimate the risks of lighter oils either, as these oils can pollute larger areas than heavier ones. Our results also highlight the importance of spatially explicit season-specific oil spill risk assessment in the Arctic and that environmental variability and the lack of data are a major source of uncertainty related to the oil spill impacts. Peer reviewed |
author2 |
Environmental and Ecological Statistics Group Helsinki Institute of Sustainability Science (HELSUS) Ecosystems and Environment Research Programme Research Centre for Ecological Change Organismal and Evolutionary Biology Research Programme Department of Mathematics and Statistics Biostatistics Helsinki |
format |
Article in Journal/Newspaper |
author |
Helle, Inari Mäkinen, Jussi Antti-Eerikki Nevalainen, Maisa Katariina Afenyo, Mawuli Vanhatalo, Jarno |
author_facet |
Helle, Inari Mäkinen, Jussi Antti-Eerikki Nevalainen, Maisa Katariina Afenyo, Mawuli Vanhatalo, Jarno |
author_sort |
Helle, Inari |
title |
Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective |
title_short |
Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective |
title_full |
Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective |
title_fullStr |
Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective |
title_full_unstemmed |
Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective |
title_sort |
impacts of oil spills on arctic marine ecosystems: a quantitative and probabilistic risk assessment perspective |
publisher |
American Chemical Society |
publishDate |
2020 |
url |
http://hdl.handle.net/10138/313529 |
geographic |
Arctic Kara Sea |
geographic_facet |
Arctic Kara Sea |
genre |
Arctic Arctic Kara Sea Northern Sea Route Sea ice walrus* |
genre_facet |
Arctic Arctic Kara Sea Northern Sea Route Sea ice walrus* |
op_relation |
10.1021/acs.est.9b07086 Suomen Akatemia Projektilaskutus Helle , I , Mäkinen , J A-E , Nevalainen , M K , Afenyo , M & Vanhatalo , J 2020 , ' Impacts of oil spills on Arctic marine ecosystems: A quantitative and probabilistic risk assessment perspective ' , Environmental Science & Technology , vol. 54 , no. 4 , pp. 2112-2121 . https://doi.org/10.1021/acs.est.9b07086 ORCID: /0000-0001-9006-0899/work/71182263 ORCID: /0000-0001-6599-8279/work/71184008 5eec4641-459f-4e1a-9204-e4059a6efa32 http://hdl.handle.net/10138/313529 000514759000007 |
op_rights |
cc_by openAccess info:eu-repo/semantics/openAccess |
container_title |
Environmental Science & Technology |
container_volume |
54 |
container_issue |
4 |
container_start_page |
2112 |
op_container_end_page |
2121 |
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1787421507636428800 |