FN Archimer Export Format
PT J
TI Using a quantitative model for participatory geo-foresight: ISIS-Fish and fishing governance in the Bay of Biscay
BT 
AF Provot, Zoe
   Mahévas, Stephanie
   Tissière, Laurie
   Michel, C.
   Lehuta, Sigrid
   Trouillet, B.
AS 1:1;2:1;3:1,2;4:3;5:1;6:2;
FF 1:PDG-RBE-EMH;2:PDG-RBE-EMH;3:;4:;5:PDG-RBE-EMH;6:;
C1 Ifremer, Unité Écologie et Modèles pour l’Halieutique (EMH), F-44311 Nantes 03, France
   Université de Nantes, CNRS, UMR LETG, Chemin de la Censive du Tertre, BP 81227, 44312 Nantes Cedex 3, France
   Usages et Territoires, Toulouse, France
C2 IFREMER, FRANCE
   UNIV NANTES, FRANCE
   USAGES ET TERRITOIRES, FRANCE
SI NANTES
SE PDG-RBE-EMH
IN WOS Ifremer UPR
   copubli-france
   copubli-univ-france
IF 2.453
TC 3
UR https://archimer.ifremer.fr/doc/00459/57034/69604.pdf
LA English
DT Article
DE ;Geo-foresight;Participatory;Spatial;Complex quantitative model;ISIS-Fish;Scenarios;Fishery dynamics;Bay of Biscay
AB This study investigated the use of a complex quantitative simulation model for participatory geo-foresight for the governance of the marine socio-ecosystem in the Bay of Biscay. The approach is simulation-based combining qualitative and quantitative expert-knowledge focusing on the demersal fishery in the Bay of Biscay. A three-stage approach was carried out : (i) translation by stakeholders of a narrative scenario drawn up during the geo-foresight into quantitative sub-scenarios that could be parameterized in ISIS-Fish; (ii) simulation with ISIS-Fish and study of the consequences of the sub-scenarios on the dynamics of the fishery; and (iii) participants feedback on the relevance of the model, on the possibility to detail the narrative scenario further and on the general contribution of ISIS-Fish to geo-foresight. The study created discussions on input data, mechanisms and spatial features of the model and on some limits of simplistic translations of the scenario. The model and simulations highlighted the relevance of using a spatial model to explore sub-scenarios derived from geo-foresight. The flexibility of ISIS-Fish and the synergy between the quantitative modeling and scenario planning approaches allowed for demystification of complex models for fisheries management and illustrated their potential for decision-making for fisheries management. 
PY 2020
PD JUN
SO Marine Policy
SN 0308-597X
PU Elsevier BV
VL 117
UT 000541263200006
DI 10.1016/j.marpol.2018.08.015
ID 57034
ER

EF