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An Integer Optimization Approch To A Probabilistic Reserve Site Selection ProblemAuthor(s): Robert G. Haight; Charles S. Revelle; Stephanie A. Snyder
Source: INFORMS. Vol. 48 no. 5.:p. 697-708. (2000)
Publication Series: Scientific Journal (JRNL)
Station: North Central Research Station
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DescriptionHuman economic and agricultural activities contribute to the endangerment of over 900 species that are currently listed or proposed for listing under the federal Endangered Species Act in the United States (Dobson et al. 1997). One approach to conserving the elements of biological diversity--including plants, animals, and ecological communities--is to establish and enhance biological reserves in which economic development is curtailed (Ando et al. 1998). For example, between 1927 and 1998, the U.S. Forest Service established 427 research natural areas (RNAs)coveting over 500,000 acres of land in national forests of the United States. These biological reserves are permanently protected and maintained in their natural condition for the purposes of conserving species and ecosystems, conducting nonmanipulative research and monitoring, and fostering education. Examples of land-use planning for the protection of biodiversity abound, including cases in Australia, South Africa, and Norway (Pressey et al. 1997). The establishment and enhancement of biological reserves is viewed as the cornerstone of biodiversity conservation throughout the world (Noss and Cooperrider 1994, Pimm and Lawton 1998).
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CitationHaight, Robert G.; Revelle, Charles S.; Snyder, Stephanie A. 2000. An Integer Optimization Approch To A Probabilistic Reserve Site Selection Problem. INFORMS. Vol. 48 no. 5.:p. 697-708. (2000)
Keywordshuman economic, biological diversity, ecological communities, Endangered Species Act
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