4.6 Article Proceedings Paper

Developing management procedures that are robust to uncertainty: lessons from the International Whaling Commission

Journal

ICES JOURNAL OF MARINE SCIENCE
Volume 64, Issue 4, Pages 603-612

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/icesjms/fsm035

Keywords

baleen whales; error; management procedure; monitoring; stock assessment; uncertainty

Ask authors/readers for more resources

Traditionally, fisheries management advice has been based on stock assessments that considered merely the best set of assumptions while uncertainty arising only from observation and process error was quantified, if considered at all. Unfortunately, uncertainty attributable to lack of understanding of the true underlying system and to ineffective implementation may dominate the sources of error that must be accounted for if management is to be successful. The management procedure approach is advocated as the appropriate way to develop management advice for renewable resources. This approach, pioneered by the International Whaling Commission (IWC) Scientific Committee, takes politically agreed management objectives and incorporates all scientific aspects of management including data collection and analysis, development of robust harvest control laws or effort regulations, and monitoring. A primary feature is that uncertainty (including that arising from sources conventionally ignored) is taken into account explicitly through population simulations for a variety of scenarios. The nature of the management procedures developed for commercial and aboriginal subsistence whaling and the processes by which they have been developed is highlighted. We also identify lessons that have been learned from two decades of IWC experience and suggest how these can be applied to other fishery situations.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available