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- W2989860678 abstract "In this brief paper, stochastic control theory under incomplete information is applied to mathematical modeling of inland fishery management. The inland fishery resource to be managed is non-renewable in the sense that its reproduction is unsuccessful. The incomplete information comes from the uncertain body growth rate of the individuals due to temporal regime-switching of their foods. We show that finding the most cost-effective harvesting policy of the non-renewable fishery resource reduces to solving a Hamilton-Jacobi-Bellman equation. The equation is numerically solved via a simple finite difference scheme focusing on the major inland fishery resource Plecoglossusaltivelis (P. altivelis: Ayu) in Japan." @default.
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- W2989860678 date "2019-01-01" @default.
- W2989860678 modified "2023-09-25" @default.
- W2989860678 title "Non-renewable Fishery Resource Management Under Incomplete Information" @default.
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- W2989860678 doi "https://doi.org/10.1007/978-3-030-27550-1_56" @default.
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