期刊
METHODS IN ECOLOGY AND EVOLUTION
卷 9, 期 12, 页码 2388-2395出版社
WILEY
DOI: 10.1111/2041-210X.13081
关键词
data moderate; data poor; management procedure; management strategy evaluation; population modelling; stock assessment
类别
资金
- Gordon and Betty Moore Foundation
- Packard Foundation
- Fisheries and Oceans Canada
- Walton Foundation
- Resources Legacy Fund
- Natural Resources Defense Council
- United Nations Food and Agricultural Organization
- California Department of Fish and Wildlife
A simulation-based approach known as management strategy evaluation (MSE) is increasingly used by resource managers to identify management procedures that are robust to uncertainties in system dynamics. The majority of global fish populations are data limited and there is large uncertainty over their population and exploitation dynamics. The Data-Limited Methods Toolkit (DLMtool) is an R package that allows for rapid and flexible MSE specification. The package consolidates a large number of existing data-limited management procedures and allows for rapid MSE testing of new approaches. The DLMtool package has supported transparent and rigorous decision-making for a number of data-limited populations, identifying robust management procedures and revealing performance trade-offs.
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