Supporting fisheries management by means of complex models: can we point out isles of robustness in a sea of uncertainty?

ABSTRACT: 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 ecologic

SUBMITTER: Gasche L 

PROVIDER: S-EPMC3813694 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature