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A stochastic viability approach to ecosystem-based fisheries management

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Author Info

  • Luc Doyen

    (UMR CERSP MNHN, Centre National de la Recherche Scientifique)

  • Olivier Thébaud

    (UMR AMURE, Département d'Economie Maritime, Institut Français de Recherche pour l'Exploitation de la Mer
    Marine and Atmospheric Research, Commonwealth Scientific and Industrial Research Organisation)

  • Christophe Béné

    (Institute of Development Studies, University of Sussex)

  • Vincent Martinet

    ()
    (Economie Publique, INRA)

  • Sophie Gourguet

    (UMR CERSP, MNHN, Centre National de la Recherche Scientifique)

  • Michel Bertignac

    (Centre de Brest, Laboratoire de biologie Halieutique, Institut Français de Recherche pour l'Exploitation de la Mer)

  • Spyros Fifas

    (Centre de Brest, Laboratoire de biologie Halieutique, Institut Français de Recherche pour l'Exploitation de la Mer)

  • Fabian Blanchard

    (Laboratoire Ressources Halieutiques de Guyanne, Département Halieutique Méditerranée et Tropical, Institut Français de Recherche pour l'Exploitation de la Mer)

Abstract

Academia and management agencies show a growing interest for ecosystem-based fishery management (EBFM). However, the way to operationalize this approach remains challenging. The present paper illustrates how the concepts of stochastic co-viability, which accounts for dynamic complexities, uncertainties, risk and sustainability constraints, can be useful for the implementation of EBFM. In the present case, this concept is used to identify fishing strategies that satisfy both ecological conservation and economic sustainability in a multi-species, multi-fleet context. Economic Viability Analysis (EVA) and the broader Co-Viability Analysis (CVA), are proposed to expand the usual Population Viability Analysis (PVA) and precautionary approach. An illustration is proposed, using data on the fisheries of Bay of Biscay (France) exploiting the stocks of nephrops and hake. Stochastic simulations show how CVA can guarantee both ecological (stock) and economic (profit) sustainability. Using 2008 as a baseline, the model is used to identify fishing efforts that ensure such co-viability.

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Bibliographic Info

Paper provided by Institut National de la Recherche Agronomique, France in its series Working Papers with number 48437.

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Length: 32-42
Date of creation: 2012
Date of revision:
Publication status: Published in Ecological Economics
Handle: RePEc:inr:wpaper:48437

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Keywords: GESTION ECOSYSTEMIQUE DES PECHES; VIABILITE; STOCHASTIQUE; LANGOUSTINE; MERLU ; ECOSYSTEM BASED FISHERIES MANAGEMENT; VIABILITY; STOCHASTIC; NEPHROPS; HAKE; poissonpêcheriegestion durable;

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Cited by:
  1. Jean-Pierre Aubin & Luxi Chen & Marie-Hélène Durand, 2013. "Dynamic decentralization of harvesting constraints in the management of tychastic evolution of renewable resources," Computational Management Science, Springer, Springer, vol. 10(4), pages 281-298, December.
  2. Vincent Martinet & Michel de Lara & Julio Peña & Héctor Ramirez, 2012. "Risk and Sustainability: Assessing Fisheries Management Strategies," ILADES-Georgetown University Working Papers, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines inv276, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
  3. A.A. Cisse & L. Doyen & F. Blanchard & J.C. Pereau, 2013. "Stochastic viability of the coastal fishery in French Guiana," Documents de Travail 2013-07, CEREGMIA, Université des Antilles et de la Guyane.

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