FN Archimer Export Format
PT J
TI Supporting Fisheries Management by Means of Complex Models: Can We Point out Isles of Robustness in a Sea of Uncertainty?
BT 
AF GASCHE, Loic
   MAHEVAS, Stephanie
   MARCHAL, Paul
AS 1:1;2:1;3:2;
FF 1:;2:PDG-RBE-EMH;3:PDG-RBE-HMMN-RHBL;
C1 IFREMER Ctr Atlantique, Unite Ecol & Modeles Halieut, Nantes, France.
   IFREMER Ctr Manche Mer Nord, Lab Ressources Halieut, Boulogne Sur Mer, France.
C2 IFREMER, FRANCE
   IFREMER, FRANCE
SI NANTES
   BOULOGNE
SE PDG-RBE-EMH
   PDG-RBE-HMMN-RHBL
IN WOS Ifremer jusqu'en 2018
IF 3.534
TC 10
UR https://archimer.ifremer.fr/doc/00166/27746/25947.pdf
LA English
DT Article
AB Ecosystems are usually complex, nonlinear and strongly influenced by poorly known environmental variables. Among these systems, marine ecosystems have high uncertainties: marine populations in general are known to exhibit large levels of natural variability and the intensity of fishing efforts can change rapidly. These uncertainties are a source of risks that threaten the sustainability of both fish populations and fishing fleets targeting them. Appropriate management measures have to be found in order to reduce these risks and decrease sensitivity to uncertainties. Methods have been developed within decision theory that aim at allowing decision making under severe uncertainty. One of these methods is the information-gap decision theory. The info-gap method has started to permeate ecological modelling, with recent applications to conservation. However, these practical applications have so far been restricted to simple models with analytical solutions. Here we implement a deterministic approach based on decision theory in a complex model of the Eastern English Channel. Using the ISIS-Fish modelling platform, we model populations of sole and plaice in this area. We test a wide range of values for ecosystem, fleet and management parameters. From these simulations, we identify management rules controlling fish harvesting that allow reaching management goals recommended by ICES (International Council for the Exploration of the Sea) working groups while providing the highest robustness to uncertainties on ecosystem parameters.
PY 2013
PD OCT
SO Plos One
SN 1932-6203
PU Public Library Science
VL 8
IS 10
UT 000326334500035
DI 10.1371/journal.pone.0077566
ID 27746
ER

EF