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Ecosystem objectives in fisheries management usually flow from high-level national policies or strategies and international agreements. Consequently they are often broadly stated and hence are difficult to incorporate directly in management plans. Predicting the results of any management action is very uncertain because the dynamics of ecosystems are complex and poorly understood. Methods to design and evaluate operational management strategies have advanced considerably in the past decade. These management-strategy-evaluation (MSE) methods rely on simulation testing of the whole management process using performance measures derived from operational objectives. The MSE approach involves selecting (operational) management objectives, specifying performance measures, specifying alternative management strategies, and evaluating these using simulation. The MSE framework emphasizes the identification and modelling of uncertainties, and propagates these through to their effects on the performance measures. The framework is outlined and illustrated by three ecosystem-related applications: management of benthic habitats and broad fish community composition; by-catch of species of high conservation value; and foodchain interactions and dependencies. Challenges to be overcome before broader ecosystem-related objectives can be fully handled are discussed briefly.

Item Type:	Refereed Article
Keywords:	ecosystem indicators, ecosystem objectives, fisheries management, management strategy evaluation (MSE), operational management strategies (design and evaluation), uncertainty.
Research Division:	Agricultural and Veterinary Sciences
Research Group:	Fisheries Sciences
Research Field:	Aquatic Ecosystem Studies and Stock Assessment
Objective Division:	Environment
Objective Group:	Ecosystem Assessment and Management
Objective Field:	Ecosystem Assessment and Management of Marine Environments
UTAS Author:	Sainsbury, K (Professor Keith Sainsbury)
ID Code:	73161
Year Published:	2000
Web of Science® Times Cited:	320
Deposited By:	Sustainable Marine Research Collaboration
Deposited On:	2011-09-16
Last Modified:	2011-09-22
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