Journal
ICES JOURNAL OF MARINE SCIENCE
Volume 80, Issue 1, Pages 218-234Publisher
OXFORD UNIV PRESS
DOI: 10.1093/icesjms/fsac231
Keywords
ecosystem model; Fuzzy Cognitive Mapping; North Sea; qualitative modelling; stakeholders
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The complexities of ecosystem-based management require stepwise approaches involving stakeholders to scope key processes, pressures, and impacts. Fuzzy Cognitive Mapping (FCM) presents a qualitative method with a lower skill and data threshold than quantitative models to evaluate marine ecosystems under various impacts. The results of applying FCM models for subregions of the North Sea show the potential of combining FCM and quantitative modelling approaches in integrated ecosystem assessments (IEAs) and future ecosystem-based management advice.
The complexities of ecosystem-based management require stepwise approaches, ideally involving stakeholders, to scope key processes, pressures, and impact in relation to sustainability and management objectives. Use of qualitative methods like Fuzzy Cognitive Mapping (FCM) with a lower skill and data threshold than traditional quantitative models afford opportunity for even untrained stakeholders to evaluate the present and future status of the marine ecosystems under varying impacts. Here, we present the results applying FCM models for subregions of the North Sea. Models for the southern North Sea, Skagerrak, Kattegat, and the Norwegian Trench were developed with varying level of stakeholder involvement. Future scenarios of increased and decreased fishing, and increased seal biomass in the Kattegat, were compared with similar scenarios run on two quantitative ecosystem model. Correspondence in response by the models to the same scenarios was lowest in the southern North Sea, which had the simplest FCM model, and highest in Norwegian Trench. The results show the potential of combining FCM and quantitative modelling approaches in integrated ecosystem assessments (IEAs) and in future ecosystem-based management advice, but to facilitate such comparisons and allow them to complement and enhance our IEAs, it is important that their components are aligned and comparable.
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