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

O'Hanley, J.R., Church, R.L., 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. (doi:10.1016/j.biocon.2006.08.009) (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) (KAR id:3067)

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.
Official URL:
http://dx.doi.org/10.1016/j.biocon.2006.08.009

Abstract

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
DOI/Identification number: 10.1016/j.biocon.2006.08.009
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: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Jesse O'Hanley
Date Deposited: 14 May 2008 06:58 UTC
Last Modified: 19 Sep 2023 15:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/3067 (The current URI for this page, for reference purposes)

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