Nature reserve site selection to maximize expected species covered
成果类型：
Article
署名作者：
Camm, JD; Norman, SK; Polasky, S; Solow, AR
署名单位：
University System of Ohio; University of Cincinnati; Northern Arizona University; University of Minnesota System; University of Minnesota Twin Cities; Woods Hole Oceanographic Institution
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.50.6.946.351
发表日期：
2002
页码：
946-955
关键词：
摘要：
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.