Locating and protecting critical reserve sites to minimize expected and worst-case losses

O'Hanley, J.R. and Church, R.L. and Gilless, J.K. (2007) Locating and protecting critical reserve sites to minimize expected and worst-case losses. Biological Conservation, 134 (1). pp. 130-141. ISSN 0006-3207. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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There has been much recent interest in the development of systematic reserve selection methods that are capable of incorporating uncertainty associated with site destruction. This paper makes a contribution to this line of research by presenting two different optimization models for minimizing species losses within a planning region. Given limited acquisition budgets, the first minimizes expected species losses over all possible site loss patterns outside the reserve network while the second minimizes maximum species losses following the worst-case loss of a restricted subset of nonreserve sites. By incorporating the uncertainty of site destruction directly into the decision planning process, these models allow a conservation planner to take a less defensive and more strategic view of reserve selection that seeks to minimize species losses through the targeted acquisition of highvalue/ high-risk sites. We compare both of these methods to a more standard approach, which simply maximizes within reserve representation without regard for the varied level of threat faced by different sites and species. Results on a realistic dataset show that significant reductions in species losses can be achieved using either of these more intelligent modeling frameworks.

Item Type: Article
Uncontrolled keywords: reserve selection; habitat loss; site loss uncertainty; expected loss; worst-case loss; maximum covering; reserve scheduling; bilevel programming
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
H Social Sciences > HD Industries. Land use. Labor > HD29 Operational Research - Applications
Divisions: Faculties > Social Sciences > Kent Business School
Depositing User: Jesse O'Hanley
Date Deposited: 14 May 2008 06:58
Last Modified: 05 Jan 2015 13:38
Resource URI: https://kar.kent.ac.uk/id/eprint/3067 (The current URI for this page, for reference purposes)
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