| Literature DB >> 27677629 |
Jelle P Hilbers1, Luca Santini1,2, Piero Visconti3,4, Aafke M Schipper1,5, Cecilia Pinto6, Carlo Rondinini2, Mark A J Huijbregts1,5.
Abstract
Conservation planning and biodiversity assessments need quantitative targets to optimize planning options and assess the adequacy of current species protection. However, targets aiming at persistence require population-specific data, which limit their use in favor of fixed and nonspecific targets, likely leading to unequal distribution of conservation efforts among species. We devised a method to derive equitable population targets; that is, quantitative targets of population size that ensure equal probabilities of persistence across a set of species and that can be easily inferred from species-specific traits. In our method, we used models of population dynamics across a range of life-history traits related to species' body mass to estimate minimum viable population targets. We applied our method to a range of body masses of mammals, from 2 g to 3825 kg. The minimum viable population targets decreased asymptotically with increasing body mass and were on the same order of magnitude as minimum viable population estimates from species- and context-specific studies. Our approach provides a compromise between pragmatic, nonspecific population targets and detailed context-specific estimates of population viability for which only limited data are available. It enables a first estimation of species-specific population targets based on a readily available trait and thus allows setting equitable targets for population persistence in large-scale and multispecies conservation assessments and planning.Keywords: allometry; alometría; análisis de viabilidad poblacional; biología de la conservación; conservation biology; conservation target; extinción; extinction; manejo de vida silvestre; minimum viable population; objetivo de conservación; población mínima viable; population viability analysis; vida silvestre; wildlife; wildlife management
Mesh:
Year: 2016 PMID: 27677629 DOI: 10.1111/cobi.12846
Source DB: PubMed Journal: Conserv Biol ISSN: 0888-8892 Impact factor: 6.560