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...

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Published in:Environmental Science & Technology
Main Authors: Helle, Inari, Mäkinen, Jussi Antti-Eerikki, Nevalainen, Maisa Katariina, Afenyo, Mawuli, Vanhatalo, Jarno
Other Authors: 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
Language:English
Published: American Chemical Society 2020
Subjects:
SEA
ICE
Online Access:http://hdl.handle.net/10138/313529
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spelling 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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