4.7 Article

Toward better application of minimum area requirements in conservation planning

Journal

BIOLOGICAL CONSERVATION
Volume 170, Issue -, Pages 92-102

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.biocon.2013.12.011

Keywords

Body mass; Database; Minimum viable population; Population viability analysis; Time horizon; Review

Funding

  1. European Union FP7 projects SCALES [226 852]
  2. Basic Research Programme of the Statutory Research Tasks Unit for Nature & the Environment [WOT-04-002]
  3. Dutch Ministry of Economics, Agriculture and Innovation

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The Minimum Area Requirements (MAR) of species is a concept that explicitly addresses area and therefore can be highly relevant for conservation planning and policy. This study compiled a comprehensive database of MAR estimates from the literature, covering 216 terrestrial animal species from 80 studies. We obtained estimates from (a) Population Viability Analyses (PVAs) which explored a range of area-related scenarios, (b) PVAs that provided a fixed value - either MAR or the minimum viable population size (MVP) alongside other area-relevant information, and (c) empirical studies of occupancy patterns in islands or isolated habitat patches across area. We assessed the explanatory power of life-history traits (body mass, feeding guild, generation length and offspring size), environmental variables (average precipitation and temperature), research approach and phylogenetic group on MAR estimates. PVAs exploring area showed strong correlation between MAR and body mass. One to two additional variables further improved the predictive power. PVA reporting fixed MAR, and occupancy-based studies, were better explained by the combination of feeding guild, climatic variables and additional life history traits. Phylogeny had a consistent but usually small contribution to the predictive power of models. Our work demonstrates that estimating the MAR across species and taxa is achievable but requires cautious interpretation. We further suggest that occupancy patterns are likely sensitive to transient dynamics and are therefore risky to use for estimating MAR. PVA-based evaluations enable considering time horizon and extinction probability, two aspects that are critical for future implementation of the MAR concept into policy and management. (C) 2013 Elsevier Ltd. All rights reserved.

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