Optimal management of non-Markovian biological populations
Ecological Modelling
By: B.K. Williams
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Abstract
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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Optimal management of non-Markovian biological populations |
| Series title | Ecological Modelling |
| DOI | 10.1016/j.ecolmodel.2006.07.039 |
| Volume | 200 |
| Issue | 1-2 |
| Year Published | 2007 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Ecological Modelling |
| First page | 234 |
| Last page | 242 |
| Google Analytic Metrics | Metrics page |