Optimal harvesting strategies for a metapopulation

Optimal harvesting strategies for a metapopulation

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Article ID: iaor2000860
Country: United States
Volume: 56
Issue: 1
Start Page Number: 107
End Page Number: 127
Publication Date: Jan 1994
Journal: Bulletin of Mathematical Biology
Authors: ,
Keywords: biology, programming: dynamic
Abstract:

We consider optimal strategies for harvesting a population that is composed of two local populations. Thw local populations are connected by the dispersal of juveniles, e.g. larvae, and together form a metapopulation. We model the metapopulation dynamics using coupled difference equations. Dynamic programming is used to determine policies for exploitation that are economically optimal. The metapopulation harvesting theory is applied to a hypothetical fishery and optimal strategies are compared to harvesting strategies that assume the metapopulation is composed either of single unconnected populations or of one well-mixed population. Local populations that have high per capita larval production should be more conservatively harvested than would be predicted using conventional theory. Recognizing the metapopulation structure of a stock and using the appropriate theory can significantly improve economic gains.

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