FN Archimer Export Format
PT J
TI Resilience management for coastal fisheries facing with global changes and uncertainties
BT 
AF Cuilleret, Mathieu
   Doyen, Luc
   Gomes, Helene
   Blanchard, Fabian
AS 1:1;2:1;3:2;4:2;
FF 1:;2:;3:PDG-RBE-BIODIVHAL;4:PDG-RBE-BIODIVHAL;
C1 CNRS, GREThA, University of Bordeaux, Pessac, France
   Ifremer, LEEISA (USR 3456, CNRS, Université de Guyane, Ifremer), Cayenne, French Guiana
C2 CNRS, FRANCE
   IFREMER, FRANCE
SI GUYANE
SE PDG-RBE-BIODIVHAL
UM LEEISA
IN WOS Ifremer UMR
   copubli-france
IF 6.5
TC 4
UR https://archimer.ifremer.fr/doc/00760/87240/92757.pdf
LA English
DT Article
DE ;Resilience;Coastal fishery;Climate warming;Oil price uncertainty;Demographic pressure;Models of intermediate complexity (MICE)
AB Operationalizing resilience in fisheries management is a challenging issue in the face of global changes. In this perspective, Grafton et al. (2019) propose a heuristic based on the ‘3Rs’ of resilience, namely resistance, recovery, and robustness. The work presented here applies this generic framework to the coastal fishery of French Guiana, which is under pressure because of both climate change, energy costs and demographic growth. To this end, a dynamic multi-species, resource-based and multi-fleet model accounting for climate and socio-economic uncertainties is developed and calibrated using catch and effort time series. The search for a more resilient management leads us to compare different fishing management strategies and projections including ‘Business as usual’ (bau), ‘Multispecies Maximum Sustainable Yield’ (mmsy) and ‘Multispecies Maximum Economic Yield’ (mmey) strategies. The comparison between the strategies relies on ecological-economic viability goals and thresholds. The two normative strategies mmsy and mmey turn out to provide major gains in terms of the 3Rs and ecological-economic resilience as compared to bau. They both suggest major redistributions in the fishing effort of the different fleets. 
PY 2022
PD JUL
SO Economic Analysis And Policy
SN 0313-5926
PU Elsevier BV
VL 74
UT 000802890600002
BP 634
EP 656
DI 10.1016/j.eap.2022.03.016
ID 87240
ER

EF