Optimal management of non-Markovian biological populations
January 1, 2007
Wildlife populations typically are described by Markovian models, with population dynamics influenced at each point in time by current but not previous population levels. Considerable work has been done on identifying optimal management strategies under the Markovian assumption. In this paper we generalize this work to non-Markovian systems, for which population responses to management are influenced by lagged as well as current status and/or controls. We use the maximum principle of optimal control theory to derive conditions for the optimal management such a system, and illustrate the effects of lags on the structure of optimal habitat strategies for a predator-prey system.
Citation Information
Publication Year | 2007 |
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Title | Optimal management of non-Markovian biological populations |
DOI | 10.1016/j.ecolmodel.2006.07.039 |
Authors | B. Kenneth Williams |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Ecological Modelling |
Index ID | 70033078 |
Record Source | USGS Publications Warehouse |