Optimal horseshoe crab harvest policies via approximate dynamic programming
November 3, 2022
Approximate Dynamic Programming relies on forward simulation of the system, so two population projection models are used, one for crabs and one for red knots. The two models are linked: HSC abundance is a predictor variable in the REKN model. Other useful outputs are produced as well, such as predictions of future harvest.
Citation Information
| Publication Year | 2022 |
|---|---|
| Title | Optimal horseshoe crab harvest policies via approximate dynamic programming |
| DOI | 10.5066/P9HCEW6S |
| Authors | James E Lyons, Conor McGowan, Clinton Moore, David R Smith, Anna M Tucker, B. L. Nuse, P. L. Fackler, J. A Sweka |
| Product Type | Software Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Cooperative Research Units Program |
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David R Smith, Ph.D.
Research Statistician (Biology)
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David R Smith, Ph.D.
Research Statistician (Biology)EmailPhone