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12 - Progress in the use of ecosystem modeling for fisheries management

Published online by Cambridge University Press:  05 June 2012

Villy Christensen
Affiliation:
University of British Columbia, Canada
Carl J. Walters
Affiliation:
University of British Columbia, Canada
Villy Christensen
Affiliation:
University of British Columbia, Vancouver
Jay Maclean
Affiliation:
Fisheries Consultant
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Summary

INTRODUCTION

We are moving toward ecosystem-based management of fisheries, and it is clear that ecosystem modeling is an important tool for evaluating scenarios and trade-offs as part of such a move. This chapter evaluates the extent of ecosystem modeling as an active research field, the potential usefulness of the models for fisheries management, and actual use of ecosystem models in fisheries management. In addition we present some recommendations for how the move toward ecosystem-based management can be supported through an adaptive environmental assessment and management process.

It is important at the outset to be careful about what it means to “use” a model in fisheries management. At one extreme, imagine taking model predictions at face value and applying them blindly in setting reference points and regulations; some managers seem to hope for or expect such models to appear, presumably as absolution or excuse for not making thoughtful choices in the face of uncertainty. No fisheries model, whether a highly “precise” single-species assessment or a crude ecosystem biomass flow scheme, will ever be reliable enough to use in such an uncritical way, if for no other reason than unpredictability in environmental conditions. At the opposite extreme, we can certainly use even very simple trophic interaction calculations to screen qualitative policy options and answer very basic questions raised in management settings (e.g., could predation rates by some particular predator that fishers do not like be high enough to ever justify a culling policy?).

Type
Chapter
Information
Ecosystem Approaches to Fisheries
A Global Perspective
, pp. 189 - 206
Publisher: Cambridge University Press
Print publication year: 2011

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