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Designing a Decision Support System for Marine Reserves Management: An Economic Analysis for the Dutch North Sea

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  • Arjan Ruijs

    (Environmental Economics and Natural Resources Group Wageningen University)

  • Hongyu Ding

    (Fondazione Eni Enrico Mattei and Venice International University)

  • Ekko C. van Ierland

    (Wageningen University)

Abstract

In this paper we discuss how a Decision Support System (DSS) for managing the marine environment can be set up. We use the Driving force-Pressure-State-Impact-Respond (DPSIR) framework to analyze which are the major driving forces impacting upon the marine environment in the North Sea. Moreover, a number of potential responses are identified. Furthermore, a preliminary and simplified optimization model has been set up and can be used in a DSS to decide on the best location of marine reserves for the protection of species. The model is based on a bio-economic metapopulation model that can be used to decide which parts of the sea should be opened for fisheries and which should be protected as marine reserve. It accounts for the dispersal of fish and considers both the economic returns from fisheries and the ecological value of marine biodiversity. A number of suggestions are given on how to extend and improve the DSS.

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Bibliographic Info

Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number 2007.23.

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Date of creation: Feb 2007
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Handle: RePEc:fem:femwpa:2007.23

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Related research

Keywords: Decision Support System; Marine Biodiversity Conservation; DPSIR Framework; Bioeconomic Modeling; North Sea;

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  1. Arjan Ruijs & Johannus A. Janmaat, 2007. "Chasing the Spillovers: Locating Protected Areas in a Trans-Boundary Fishery," Land Economics, University of Wisconsin Press, vol. 83(1), pages 6-22.
  2. Sanchirico, James & Wilen, James, 2000. "Dynamics of Spatial Exploitation: A Metapopulation Approach," Discussion Papers dp-00-25-rev, Resources For the Future.
  3. Sanchirico, James N. & Wilen, James E., 1999. "Bioeconomics of Spatial Exploitation in a Patchy Environment," Journal of Environmental Economics and Management, Elsevier, vol. 37(2), pages 129-150, March.
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