FN Archimer Export Format PT J TI A stochastic viability approach to ecosystem-based fisheries management BT AF DOYEN, Luc THEBAUD, Olivier BENE, Christopher MARTINET, V. GOURGUET, S. BERTIGNAC, Michel FIFAS, Spyros BLANCHARD, Fabian AS 1:1;2:2,3;3:5;4:4;5:1;6:6;7:6;8:7; FF 1:;2:PDG-RBE-EM;3:;4:;5:;6:PDG-RBE-STH-LBH;7:PDG-RBE-STH-LBH;8:PDG-RBE-BIODIVHAL; C1 MNHN, CNRS, UMR CERSP, F-75005 Paris, France. IFREMER, UMR AMURE, Dept Econ Maritime, F-29280 Plouzane, France. CSIRO Marine & Atmospher Res, Cleveland, Qld 4163, Australia. INRA, UMR 210, F-78850 Thiverval Grignon, France. Univ Sussex, Inst Dev Studies, Brighton BN1 9RE, E Sussex, England. IFREMER, Ctr Brest, Lab Biol Halieut, F-29280 Plouzane, France. IFREMER, Lab Ressources Halieut Guyane, Dept Halieut Mediterranee & Trop, Guyane, France. C2 MNHN, FRANCE IFREMER, FRANCE CSIRO, AUSTRALIA INRA, FRANCE UNIV SUSSEX, UK IFREMER, FRANCE IFREMER, FRANCE SI BREST GUYANE SE PDG-RBE-EM PDG-RBE-STH-LBH PDG-RBE-BIODIVHAL IN WOS Ifremer jusqu'en 2018 copubli-france copubli-p187 copubli-europe copubli-int-hors-europe IF 2.86 TC 44 UR https://archimer.ifremer.fr/doc/00074/18571/16153.pdf LA English DT Article DE ;Ecosystem based fisheries management;Viability;Stochastic;Nephrops;Hake AB 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. (C) 2012 Elsevier B.V. All rights reserved. PY 2012 PD MAR SO Ecological Economics SN 0921-8009 PU Elsevier Science Bv VL 75 UT 000301765900006 BP 32 EP 42 DI 10.1016/j.ecolecon.2012.01.005 ID 18571 ER EF