Developing a conceptual influence diagram for socio-eco-technical systems analysis of biofouling management in shipping - A Baltic Sea case study

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Luoma , E , Nevalainen , L , Altarriba , E , Helle , I & Lehikoinen , A 2021 , ' Developing a conceptual influence diagram for socio-eco-technical systems analysis of biofouling management in shipping - A Baltic Sea case study ' , Marine Pollution Bulletin , vol. 170 , 112614 . https://doi.org/10.1016/j.marpolbul.2021.112614

Title: Developing a conceptual influence diagram for socio-eco-technical systems analysis of biofouling management in shipping - A Baltic Sea case study
Author: Luoma, Emilia; Nevalainen, Lauri; Altarriba, Elias; Helle, Inari; Lehikoinen, Annukka
Contributor: University of Helsinki, Helsinki Institute of Sustainability Science (HELSUS)
University of Helsinki, Helsinki Institute of Sustainability Science (HELSUS)
University of Helsinki, Environmental and Ecological Statistics Group
University of Helsinki, Helsinki Institute of Sustainability Science (HELSUS)
Date: 2021-09
Language: eng
Number of pages: 14
Belongs to series: Marine Pollution Bulletin
ISSN: 0025-326X
URI: http://hdl.handle.net/10138/333925
Abstract: Ship hulls create a vector for the transportation of harmful non-indigenous species (NIS) all over the world. To sustainably prevent NIS introductions, the joint consideration of environmental, economic and social aspects in the search of optimal biofouling management strategies is needed. This article presents a multi-perspective soft systems analysis of the biofouling management problem, based on an extensive literature review and expert knowledge collected in the Baltic Sea area during 2018-2020. The resulting conceptual influence diagram (CID) reveals the multidimensionality of the problem by visualizing the causal relations between the key elements and demonstrating the entanglement of social, ecological and technical aspects. Seen as a boundary object, we suggest the CID can support open dialogue and better risk communication among stakeholders by providing an illustrative and directly applicable starting point for the discussions. It also provides a basis for quantitative management optimization in the future.
Subject: Systems analysis
Risk management
Influence diagram
Alien species
Biofouling management
Baltic Sea
COPPER RELEASE RATES
PROPAGULE PRESSURE
ANTIFOULING PAINTS
BAYESIAN NETWORK
MARINE
IMPACTS
SHIPS
RISK
DRAG
HISTORY
1172 Environmental sciences
1181 Ecology, evolutionary biology
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