Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5050572 | Ecological Economics | 2011 | 12 Pages |
Abstract
⺠We apply stochastic dynamic programming to integrated pest management for invasives. ⺠We allow the pest and introduced predator populations to evolve stochastically. ⺠Our case study is a program to control hemlock wooly adelgid in public forests. ⺠Depending on conditions it is optimal to use chemical, biological, or both controls. ⺠Early detection and effective biological control significantly improve net benefits.
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Authors
Alex L. Marten, Christopher C. Moore,