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) |
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):