Preparing for the unprecedented - Towards quantitative oil risk assessment in the Arctic marine areas

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http://hdl.handle.net/10138/199222

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Nevalainen , M , Helle , I & Vanhatalo , J 2017 , ' Preparing for the unprecedented - Towards quantitative oil risk assessment in the Arctic marine areas ' , Marine Pollution Bulletin , vol. 114 , no. 1 , pp. 90-101 . https://doi.org/10.1016/j.marpolbul.2016.08.064

Titel: Preparing for the unprecedented - Towards quantitative oil risk assessment in the Arctic marine areas
Författare: Nevalainen, Maisa; Helle, Inari; Vanhatalo, Jarno
Upphovmannens organisation: Environmental Sciences
Department of Mathematics and Statistics
Biosciences
Fisheries and Environmental Management Group
Biostatistics Helsinki
Environmental and Ecological Statistics Group
Datum: 2017-01-15
Språk: eng
Sidantal: 12
Tillhör serie: Marine Pollution Bulletin
ISSN: 0025-326X
DOI: https://doi.org/10.1016/j.marpolbul.2016.08.064
Permanenta länken (URI): http://hdl.handle.net/10138/199222
Abstrakt: The probability of major oil accidents in Arctic seas is increasing alongside with increasing maritime traffic. Hence, there is a growing need to understand the risks posed by oil spills to these unique and sensitive areas. So far these risks have mainly been acknowledged in terms of qualitative descriptions. We introduce a probabilistic framework, based on a general food web approach, to analyze ecological impacts of oil spills. We argue that the food web approach based on key functional groups is more appropriate for providing holistic view of the involved risks than assessments based on single species. We discuss the issues characteristic to the Arctic that need a special attention in risk assessment, and provide examples how to proceed towards quantitative risk estimates. The conceptual model presented in the paper helps to identify the most important risk factors and can be used as a template for more detailed risk assessments.
Subject: 1172 Environmental sciences
112 Statistics and probability
Referentgranskad: Ja
Licens: cc_by
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion
Finansierad av: Academy of Finland
Finansierings ID:


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