FN Archimer Export Format
PT J
TI Stochastic Multi-species MSY to Achieve Ecological-Economic Sustainability of a Coral Reef Fishery System in French Polynesia
BT 
AF Lagarde, Adrien
   Doyen, Luc
   Claudet, Joachim
   Thebaud, Olivier
AS 1:1;2:1;3:2;4:3;
FF 1:;2:;3:;4:PDG-RBE-EM;
C1 CNRS - GRETHA (UMR 5113), Université de Bordeaux, Av Leon Duguit, 33608, Pessac, France
   CNRS, PSL Université Paris, CRIOBE, USR 3278 CNRS-EPHE-UPVD, Maison des Océans, 195 rue Saint-Jacques, 75005, Paris, France
   IFREMER, Univ Brest, CNRS, UMR 6308, AMURE, Unité d‘Economie Maritime, IUEM, F-29280, Plouzane, France
C2 CNRS, FRANCE
   CNRS, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-RBE-EM
UM AMURE
IN WOS Ifremer UMR
   copubli-france
IF 2.4
TC 1
UR https://archimer.ifremer.fr/doc/00788/89972/99940.pdf
LA English
DT Article
DE ;Ecological-economics;Biodiversity;Ecosystems;Scenarios;Small-scale fisheries;Sustainability;Resilience;French Polynesia
AB This paper investigates the ecological-economic sustainability of coral reef socio-ecological systems under fishing and environmental pressures. To achieve this, a dynamic, spatially explicit, multi-species, multi-fleet fisheries model is developed. Stochastic environmental shocks are assumed to alter coral cover and consequently the entire coral reef social-ecological system. The model is calibrated using ecological, socio-economic and environmental data in French Polynesia. Four exploratory fishing strategies and a goal-seeking strategy entitled Stochastic Multi-Species Maximum Sustainable Yield (SMMSY) are compared in terms of ecological-economic outcomes and sustainability of the socio-ecological system. The SMMSY turns out to promote ecological-economic sustainability. It is characterised by a global increase in fishing effort pointing to the relative current under-exploitation of the fishery. SMMSY balances the trophic level of catches after natural shocks and sustains the fundamental herbivore grazing process. SMMSY strategies are also more diversified in terms of temporality, gears, spatial distribution of fishing and target species. 
PY 2022
PD OCT
SO Environmental Modeling & Assessment
SN 1420-2026
PU Springer Science and Business Media LLC
VL 27
IS 5
UT 000832616000001
BP 771
EP 789
DI 10.1007/s10666-022-09847-0
ID 89972
ER

EF