Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem

Ecosystem-based management (EBM) of natural resources requires recognition of the systemic intertwining of ecosystems and human society and an inter-sectoral approach. We used a Bayesian influence diagram to integrate different types of knowledge for evaluating alternative sectoral and inter-sectora...

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Main Authors: Lehikoinen, Annukka Maaria, Haapasaari, Päivi Elisabet
Other Authors: Creative adaptation to wicked socio-environmental disruptions (WISE STN), Helsinki Institute of Sustainability Science (HELSUS), Fisheries and Environmental Management Group, Marine risk governance group, Environmental Sciences
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10138/326303
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spelling ftunivhelsihelda:oai:helda.helsinki.fi:10138/326303 2024-01-07T09:46:21+01:00 Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem Lehikoinen, Annukka Maaria Haapasaari, Päivi Elisabet Creative adaptation to wicked socio-environmental disruptions (WISE STN) Helsinki Institute of Sustainability Science (HELSUS) Fisheries and Environmental Management Group Marine risk governance group Environmental Sciences 2021-02-10T14:06:01Z application/pdf http://hdl.handle.net/10138/326303 eng eng Lehikoinen , A M & Haapasaari , P E 2019 , ' Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem ' , SETAC Europe 29th Annual Meeting , Helsinki , Finland , 26/05/2019 - 30/05/2019 . conference ORCID: /0000-0001-8210-5778/work/88675164 ORCID: /0000-0001-9342-5195/work/88675933 8a96ba70-eed5-4eba-95e0-640152690643 http://hdl.handle.net/10138/326303 openAccess info:eu-repo/semantics/openAccess 1172 Environmental sciences Baltic Sea Dioxins Herring Clupea harengus Salmon Salmo salar ECOSYSTEM-BASED MANAGEMENT multisectoral analysis Multi-criteria decision analysis Bayesian network Human health Governance Integrated modelling Abstract publishedVersion 2021 ftunivhelsihelda 2023-12-14T00:05:50Z Ecosystem-based management (EBM) of natural resources requires recognition of the systemic intertwining of ecosystems and human society and an inter-sectoral approach. We used a Bayesian influence diagram to integrate different types of knowledge for evaluating alternative sectoral and inter-sectoral strategies to manage the dioxin problem of Baltic salmon and herring fisheries. The following strategies were evaluated: 1) decreasing dioxin and nutrient loading to the ecosystem, 2) herring and salmon fishing strategies, 3) dietary recommendations, and 4) improved information concerning the benefits of fish eating. In total nine decisions and their combinations were evaluated in the light of three alternative assessment criteria: 1) the dioxin concentrations of Baltic herring and salmon, 2) the human consumption of Baltic salmon and herring, and the associated health risks and benefits, and 3) the commercial value of herring and salmon catches. The results demonstrate the requirement to understand the effects of management measures in a holistic way: managing only one species or policy domain may not be effective, and may also have unanticipated systemic effects in the ecosystem. In general, optimal management depends to some extent on the assessment criteria used, as well as the order in which the decisions are made. Unsynchronized management decisions in different sectors may decrease each other’s effectiveness. This implies that to control the dioxin problem as effectively as possible, collaboration between the public health, environmental and fisheries sectors is needed. Non peer reviewed Article in Journal/Newspaper Salmo salar HELDA – University of Helsinki Open Repository
institution Open Polar
collection HELDA – University of Helsinki Open Repository
op_collection_id ftunivhelsihelda
language English
topic 1172 Environmental sciences
Baltic Sea
Dioxins
Herring Clupea harengus
Salmon Salmo salar
ECOSYSTEM-BASED MANAGEMENT
multisectoral analysis
Multi-criteria decision analysis
Bayesian network
Human health
Governance
Integrated modelling
spellingShingle 1172 Environmental sciences
Baltic Sea
Dioxins
Herring Clupea harengus
Salmon Salmo salar
ECOSYSTEM-BASED MANAGEMENT
multisectoral analysis
Multi-criteria decision analysis
Bayesian network
Human health
Governance
Integrated modelling
Lehikoinen, Annukka Maaria
Haapasaari, Päivi Elisabet
Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem
topic_facet 1172 Environmental sciences
Baltic Sea
Dioxins
Herring Clupea harengus
Salmon Salmo salar
ECOSYSTEM-BASED MANAGEMENT
multisectoral analysis
Multi-criteria decision analysis
Bayesian network
Human health
Governance
Integrated modelling
description Ecosystem-based management (EBM) of natural resources requires recognition of the systemic intertwining of ecosystems and human society and an inter-sectoral approach. We used a Bayesian influence diagram to integrate different types of knowledge for evaluating alternative sectoral and inter-sectoral strategies to manage the dioxin problem of Baltic salmon and herring fisheries. The following strategies were evaluated: 1) decreasing dioxin and nutrient loading to the ecosystem, 2) herring and salmon fishing strategies, 3) dietary recommendations, and 4) improved information concerning the benefits of fish eating. In total nine decisions and their combinations were evaluated in the light of three alternative assessment criteria: 1) the dioxin concentrations of Baltic herring and salmon, 2) the human consumption of Baltic salmon and herring, and the associated health risks and benefits, and 3) the commercial value of herring and salmon catches. The results demonstrate the requirement to understand the effects of management measures in a holistic way: managing only one species or policy domain may not be effective, and may also have unanticipated systemic effects in the ecosystem. In general, optimal management depends to some extent on the assessment criteria used, as well as the order in which the decisions are made. Unsynchronized management decisions in different sectors may decrease each other’s effectiveness. This implies that to control the dioxin problem as effectively as possible, collaboration between the public health, environmental and fisheries sectors is needed. Non peer reviewed
author2 Creative adaptation to wicked socio-environmental disruptions (WISE STN)
Helsinki Institute of Sustainability Science (HELSUS)
Fisheries and Environmental Management Group
Marine risk governance group
Environmental Sciences
format Article in Journal/Newspaper
author Lehikoinen, Annukka Maaria
Haapasaari, Päivi Elisabet
author_facet Lehikoinen, Annukka Maaria
Haapasaari, Päivi Elisabet
author_sort Lehikoinen, Annukka Maaria
title Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem
title_short Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem
title_full Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem
title_fullStr Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem
title_full_unstemmed Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem
title_sort dioxins in baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem
publishDate 2021
url http://hdl.handle.net/10138/326303
genre Salmo salar
genre_facet Salmo salar
op_relation Lehikoinen , A M & Haapasaari , P E 2019 , ' Dioxins in Baltic herring and salmon: an inter-sectoral decision analysis for optimal management of the problem ' , SETAC Europe 29th Annual Meeting , Helsinki , Finland , 26/05/2019 - 30/05/2019 .
conference
ORCID: /0000-0001-8210-5778/work/88675164
ORCID: /0000-0001-9342-5195/work/88675933
8a96ba70-eed5-4eba-95e0-640152690643
http://hdl.handle.net/10138/326303
op_rights openAccess
info:eu-repo/semantics/openAccess
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