Testing management scenarios for the North Sea ecosystem using qualitative and quantitative models

Author:

Olsen Erik1ORCID,Tomczak Maciej T23,Lynam Christopher P4ORCID,Belgrano Andrea56,Kenny Andrew4

Affiliation:

1. Institute of Marine Research , PO Box 1870, N-5817 Bergen , Norway

2. Baltic Sea Centre, Stockholm University , 106 91 Stockholm , Sweden

3. Department of Aquatic Resources, Institute of Coastal Research, Swedish University of Agricultural Sciences , 750 07 Uppsala , Sweden

4. Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory , Pakefield Road, Lowestoft, Suffolk NR33 0HT , UK

5. Department of Aquatic Resources, Institute of Marine Research, Swedish University of Agricultural Sciences , SE-453 30 Lysekil , Sweden

6. Swedish Institute for the Marine Environment (SIME), University of Gothenburg , 405 30 Gothenburg , Sweden

Abstract

Abstract 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.

Funder

IMR

EU

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

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