Representational success: A new paradigm for achieving species protection by reserve site selection |
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| Authors: | Email author" target="_blank">Scott?A?MalcolmaEmail author Charles?ReVelle |
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| Institution: | (1) Operations Research Program, Department of Food and Resource Economics, University of Delaware, Newark, DE 19717, USA;(2) Department of Geography and Environmental Engineering, Johns Hopkins University, Baltimore, MD 21218, USA |
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| Abstract: | Models for designing habitat reserve networks have focused on minimizing the number of sites necessary to cover each species
one or more times. A solution to this problem is usually one from among a large number of alternative optimal configurations
of sites. This paper develops an iterative method for building reserve networks that produces an optimal solution to the species
set covering problem (SSCP) and also maximizes the number of species covered two or more times, three or more times, and so
on, conditional on the solution to the previous iteration. We refer to this as representational success. Thus, a pareto optimal species set covering is achieved that is preferable to an arbitrary optimal solution to the SSCP. |
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| Keywords: | reserve selection integer programming species preservation coverage models |
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