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

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  • Fabio Albuquerque
  • Paul Beier

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

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  • Fabio Albuquerque & Paul Beier, 2015. "Rarity-Weighted Richness: A Simple and Reliable Alternative to Integer Programming and Heuristic Algorithms for Minimum Set and Maximum Coverage Problems in Conservation Planning," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-7, March.
    • Handle: RePEc:plo:pone00:0119905
    DOI: 10.1371/journal.pone.0119905
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    References listed on IDEAS

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    1. C. R. Margules & R. L. Pressey, 2000. "Systematic conservation planning," Nature, Nature, vol. 405(6783), pages 243-253, May.
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    1. Chunrong Mi & Liang Ma & Mengyuan Yang & Xinhai Li & Shai Meiri & Uri Roll & Oleksandra Oskyrko & Daniel Pincheira-Donoso & Lilly P. Harvey & Daniel Jablonski & Barbod Safaei-Mahroo & Hanyeh Ghaffari , 2023. "Global Protected Areas as refuges for amphibians and reptiles under climate change," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. R. Travis Belote & G. Hugh Irwin, 2017. "Quantifying the National Significance of Local Areas for Regional Conservation Planning: North Carolina’s Mountain Treasures," Land, MDPI, vol. 6(2), pages 1-16, May.

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