Advanced Search
MyIDEAS: Login to save this paper or follow this series

A stochastic viability approach to ecosystem-based fisheries management


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)


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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL:
Download Restriction: no

Bibliographic Info

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

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

Note: Â
Contact details of provider:
Postal: 4, Allée Adolphe Bobierre, CS 61103, 35011 Rennes Cedex
Web page:
More information through EDIRC

Related research


Other versions of this item:


No references listed on IDEAS
You can help add them by filling out this form.


Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

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.


This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.


Access and download statistics


When requesting a correction, please mention this item's handle: RePEc:inr:wpaper:48437. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Administrateur de ProdInra).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.