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A stochastic viability approach to ecosystem-based fisheries management


  • Doyen, L.
  • Thébaud, O.
  • Béné, C.
  • Martinet, V.
  • Gourguet, S.
  • Bertignac, M.
  • Fifas, S.
  • Blanchard, F.


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.

Suggested Citation

  • Doyen, L. & Thébaud, O. & Béné, C. & Martinet, V. & Gourguet, S. & Bertignac, M. & Fifas, S. & Blanchard, F., 2012. "A stochastic viability approach to ecosystem-based fisheries management," Ecological Economics, Elsevier, vol. 75(C), pages 32-42.
  • Handle: RePEc:eee:ecolec:v:75:y:2012:i:c:p:32-42
    DOI: 10.1016/j.ecolecon.2012.01.005

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    References listed on IDEAS

    1. repec:eee:ecomod:v:212:y:2008:i:1:p:10-15 is not listed on IDEAS
    2. Béné, C. & Doyen, L., 2008. "Contribution values of biodiversity to ecosystem performances: A viability perspective," Ecological Economics, Elsevier, vol. 68(1-2), pages 14-23, December.
    3. Claire Macher & Olivier Guyader & Catherine Talidec & M. Bertignac, 2008. "A cost–benefit analysis of improving trawl selectivity in the case of discards: The Nephrops norvegicus fishery in the Bay of Biscay," Post-Print hal-00359860, HAL.
    4. Sanchirico, James N. & Smith, Martin D. & Lipton, Douglas W., 2008. "An empirical approach to ecosystem-based fishery management," Ecological Economics, Elsevier, vol. 64(3), pages 586-596, January.
    5. Baumgärtner, Stefan & Quaas, Martin F., 2009. "Ecological-economic viability as a criterion of strong sustainability under uncertainty," Ecological Economics, Elsevier, vol. 68(7), pages 2008-2020, May.
    6. Martinet, V. & Doyen, L., 2007. "Sustainability of an economy with an exhaustible resource: A viable control approach," Resource and Energy Economics, Elsevier, vol. 29(1), pages 17-39, January.
    7. Heal, G., 1998. "Valuing the Future: Economic Theory and Sustainability," Papers 98-10, Columbia - Graduate School of Business.
    8. repec:eee:ecomod:v:206:y:2007:i:3:p:277-293 is not listed on IDEAS
    9. repec:eee:ecomod:v:208:y:2007:i:2:p:353-366 is not listed on IDEAS
    10. L. Doyen & C Bene, 2003. "Sustainability of fisheries through marine reserves: a robust modeling analysis," Post-Print hal-00716683, HAL.
    11. Christophe Béné & Luc Doyen, 2000. "Storage and Viability of a Fishery with Resource and Market Dephased Seasonalities," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 15(1), pages 1-26, January.
    12. Martinet, Vincent & Thebaud, Olivier & Doyen, Luc, 2007. "Defining viable recovery paths toward sustainable fisheries," Ecological Economics, Elsevier, vol. 64(2), pages 411-422, December.
    13. Bene, C. & Doyen, L. & Gabay, D., 2001. "A viability analysis for a bio-economic model," Ecological Economics, Elsevier, vol. 36(3), pages 385-396, March.
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    Cited by:

    1. Stergios Athanasoglou & Valentina Bosetti & Laurent Drouet, 2017. "A Simple Framework for Climate-Change Policy under Model Uncertainty," Working Papers 2017.13, Fondazione Eni Enrico Mattei.
    2. Vincent Martinet & Julio Peña-Torres & Michel Lara & Hector Ramírez C., 2016. "Risk and Sustainability: Assessing Fishery Management Strategies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(4), pages 683-707, August.
    3. Irena Bitunjac & Nikša Jajac & Ivan Katavić, 2016. "Decision Support to Sustainable Management of Bottom Trawl Fleet," Sustainability, MDPI, Open Access Journal, vol. 8(3), pages 1-23, March.
    4. Vincent Martinet & Michel de Lara & Julio Peña & Héctor Ramirez, 2012. "Risk and Sustainability: Assessing Fisheries Management Strategies," ILADES-Georgetown University Working Papers inv276, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
    5. Jacek Krawczyk & Alastair Pharo & Oana Serea & Stewart Sinclair, 2013. "Computation of viability kernels: a case study of by-catch fisheries," Computational Management Science, Springer, vol. 10(4), pages 365-396, December.
    6. Adrien Lagarde & Abdoul Ahad-Cissé & Sophie Gourguet, Olivier Le Pape & Olivier Thébaud, Nathalie Caill-Milly & Gilles Morandeau, Claire Macher & Luc Doyen, 2017. "How MMEY mitigates bio-economic impacts of climate change on mixed fisheries," Cahiers du GREThA 2017-22, Groupe de Recherche en Economie Théorique et Appliquée.
    7. repec:mse:cesdoc:13006r is not listed on IDEAS
    8. repec:eee:reensy:v:132:y:2014:i:c:p:250-260 is not listed on IDEAS
    9. 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, vol. 10(4), pages 281-298, December.
    10. Antoine Brias & Jean-Denis Mathias & Guillaume Deffuant, 2016. "Accelerating viability kernel computation with CUDA architecture: application to bycatch fishery management," Computational Management Science, Springer, vol. 13(3), pages 371-391, July.
    11. 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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