FN Archimer Export Format
PT J
TI A simulation-based approach to assess sensitivity and robustness of fisheries management indicators for the pelagic fishery in the Bay of Biscay
BT 
AF LEHUTA, Sigrid
   MAHEVAS, Stephanie
   LE FLOC'H, Pascal
   PETITGAS, Pierre
AS 1:1;2:1;3:2;4:1;
FF 1:PDG-RBE-EMH;2:PDG-RBE-EMH;3:;4:PDG-RBE-EMH;
C1 IFREMER, Lab EMH, F-44311 Nantes 03, France.
   IUT Quimper, UMR AMURE, F-29334 Quimper, France.
C2 IFREMER, FRANCE
   UBO, FRANCE
SI NANTES
SE PDG-RBE-EMH
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 2.276
TC 12
UR https://archimer.ifremer.fr/doc/00170/28093/26627.pdf
LA English
DT Article
AB Indicators are widely promoted as means to monitor ecosystem status or to evaluate fisheries management performance. "Which indicators are most relevant as decision-support tools in fisheries management?" still remains a topical question. Indicators should be metrics related to fish populations and fleets and should be sensitive to management strategies. However, given the complexity of the processes involved, it is often difficult to unequivocally interpret variations in metrics. A simulation approach was used to study metric properties and to identify robust and relevant fishery indicators. By applying sensitivity analysis methods, simulation designs were built that cross a variety of management scenarios and uncertainty hypotheses. Bio-economic outputs were simulated using a mechanistic model (ISIS-Fish), and their properties were statistically analyzed. This approach was applied to the pelagic fishery of the Bay of Biscay. The analysis of metric properties highlighted the major factors driving variations in each metric and identified the important sources of uncertainty that need to be reduced to allow the use of metrics as indicators. Although very few metrics gave robust indications of management performance, sensitivity indices evidenced how management performances could be improved, and spatially disaggregated metrics provided insights into the mechanisms underlying management performance.
PY 2013
PD DEC
SO Canadian Journal Of Fisheries And Aquatic Sciences
SN 0706-652X
PU Canadian Science Publishing, Nrc Research Press
VL 70
IS 12
UT 000328273100008
BP 1741
EP 1756
DI 10.1139/cjfas-2013-0066
ID 28093
ER

EF