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My lab develops approaches to providing quantitative scientific advice for fisheries management. Our major foci are currently:
- new methods for assessing fish and marine mammal populations
- Bayesian assessment and risk analysis methods
- evaluating the performance of existing methods for assessing and managing renewable resource populations
We develop methods for assessing fish and marine mammal populations that are tailored specifically to the situation in question. Current areas of interest are spatial models, individual-based models, and stage-structured models.
Most of the approaches used for fisheries management ignore the wealth of information available from previous studies. Bayesian methods permit the formal use of such information.
We are currently applying Bayesian methods to stock assessment, risk analysis, and stock identity problems. We are also developing and testing integration methods for Bayesian analysis.
Evaluation of Methods
Most of the methods used for fisheries management have only been tested empirically on real fisheries. We use Monte Carlo simulation to assess how well stock assessment methods can estimate quantities such as the biomass of a fish population, and how well rules for managing renewable resource utilization will satisfy the needs of the users while simultaneously conserving the resource.
The methods developed in my lab are used by national and international fisheries commissions.