Nature Reserve Site Selection to Maximize Expected Species Covered

Jeffrey D. Camm (), Susan K. Norman (), Stephen Polasky and Andrew R. Solow ()
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Jeffrey D. Camm: Department of Quantitative Analysis and Operations Management, University of Cincinnati, Cincinnati, Ohio 45221-0130
Susan K. Norman: College of Business Administration, Northern Arizona University, Flagstaff, Arizona 86011-5066
Andrew R. Solow: Woods Hole Oceanographic Institution, Woods Hole, Massachusetts 02543

Operations Research, 2002, vol. 50, issue 6, 946-955

Abstract: We analyze the problem of maximizing the expected number of species in a nature reserve network, subject to a constraint on the number of sites in the network, given probabilistic information about species occurrences. The problem is a nonlinear binary integer program that is NP-hard. We develop a linear integer programming approximation that may be solved with standard integer programming software. We compare the approximation with two other approaches, an expected greedy approach and a probability hurdle approach, using probabilistic data on occurrences of terrestrial vertebrates in the state of Oregon. Results of the approximation and an exact algorithm are compared by using samples from the North American Breeding Bird Survey.

Keywords: Integer programming: coverage models; Facility location: reserve site selection under uncertainty (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (26)

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