FN Archimer Export Format
PT J
TI Hare or Tortoise? Trade-offs in Recovering Sustainable Bioeconomic Systems
BT 
AF MARTINET, Vincent
   THEBAUD, Olivier
   RAPAPORT, Alain
AS 1:1;2:2,3;3:4;
FF 1:;2:PDG-DOP-DCB-EM;3:;
C1 UMR INRA AgroParisTech, F-78850 Thiverval Grignon, France.
   IFREMER, UMR AMURE, Brest, France.
   CSIRO Marine & Atmospher Res, Cleveland, Qld, Australia.
   INRA, UMR INRA SupAgro MISTEA, F-34060 Montpellier, France.
C2 INRA, FRANCE
   IFREMER, FRANCE
   CSIRO, AUSTRALIA
   INRA, FRANCE
SI BREST
SE PDG-DOP-DCB-EM
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-p187
   copubli-int-hors-europe
IF 0.916
TC 14
UR https://archimer.ifremer.fr/doc/00016/12715/9654.pdf
LA English
DT Article
DE ;Sustainability;Recovery strategies;Multicriteria approach;Optimal and viable control;Bioeconomic modeling;Fisheries economics
AB In this paper, we develop a framework for (a) the study of sustainability of dynamic bioeconomic systems and (b) the definition of recovery paths from unsustainable situations. We assume that the system follows a sustainable trajectory if it evolves over time within a set of multidimensional constraints. We use the mathematical concept of viability to characterize sustainability. Recovery paths are studied with regards to their duration and their acceptability. This general framework is applied to the issue of recovering sustainable fisheries. We define sustainability in a fishery as the requirement that a set of economic, ecological, and social constraints is satisfied at all times. Recovery paths are characterized by the time required to obtain sustainable exploitation conditions in the fishery and by the acceptable recovery costs for fishermen. In particular, we identify the recovery path which minimizes the time of crisis under a minimum transition profit constraint. We then describe the trade-off between speed and accepted costs of recovery paths, by comparing "Hare"-like high-speed-high-cost strategies to "Tortoise"-like low-speed-low-cost strategies. We illustrate our results by means of a numerical analysis of the Bay of Biscay Nephrops fishery.
PY 2010
PD DEC
SO Environmental Modeling & Assessment
SN 1420-2026
PU Springer
VL 15
IS 6
UT 000283368200005
BP 503
EP 517
DI 10.1007/s10666-010-9226-2
ID 12715
ER

EF