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Using mathematical optimization models to design nature reserves
Author(s) -
Williams Justin C.,
ReVelle Charles S.,
Levin Simon A.
Publication year - 2004
Publication title -
frontiers in ecology and the environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.918
H-Index - 164
eISSN - 1540-9309
pISSN - 1540-9295
DOI - 10.1890/1540-9295(2004)002[0098:umomtd]2.0.co;2
Subject(s) - computer science , management science , nature reserve , set (abstract data type) , diversity (politics) , trace (psycholinguistics) , environmental resource management , field (mathematics) , risk analysis (engineering) , operations research , environmental planning , ecology , geography , business , engineering , environmental science , mathematics , biology , linguistics , philosophy , sociology , anthropology , pure mathematics , programming language
Designing an optimal nature reserve for the protection of biological diversity has been a long‐standing challenge in conservation biology. A fundamental question has always been, which areas of land should be set aside. During the past two decades, quantitative methods from the field of operations research have been applied to the problem of selecting reserve sites. Here, we trace the development of decision models for systematic reserve design, from the iterative methods developed in the 1980s to the sophisticated spatial models being formulated today. Collaborations among ecologists, conservation biologists, and operations researchers have been key to the progress made thus far. We expect that mathematical reserve design models will become more widely used, in response to a growing need to identify effective alternatives for complex conservation problems worldwide.