Rarity-Weighted Richness: A Simple and Reliable Alternative to Integer Programming and Heuristic Algorithms for Minimum Set and Maximum Coverage Problems in Conservation Planning

Fabio Albuquerque and Paul Beier

PLOS ONE, 2015, vol. 10, issue 3, 1-7

Abstract: Here we report that prioritizing sites in order of rarity-weighted richness (RWR) is a simple, reliable way to identify sites that represent all species in the fewest number of sites (minimum set problem) or to identify sites that represent the largest number of species within a given number of sites (maximum coverage problem). We compared the number of species represented in sites prioritized by RWR to numbers of species represented in sites prioritized by the Zonation software package for 11 datasets in which the size of individual planning units (sites) ranged from

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0119905

DOI: 10.1371/journal.pone.0119905

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