Trait-based prediction of extinction risk across terrestrial taxa

分类单元 生物 消光(光学矿物学) 生态学 特质 分类等级 无脊椎动物 生物扩散 航程(航空) 人口 人口学 古生物学 材料科学 社会学 计算机科学 复合材料 程序设计语言
作者
Filipe Chichorro,Fernando Urbano-Tenorio,Dinarte Teixeira,Henry Väre,Tiago Pinto,Neil Brummitt,Xiaolan He,Axel Hochkirch,Jaakko Hyvönen,Lauri Kaila,Aino Juslén,Pedro Cardoso
出处
期刊:Biological Conservation [Elsevier BV]
卷期号:274: 109738-109738 被引量:43
标识
DOI:10.1016/j.biocon.2022.109738
摘要

Species differ in their biological susceptibility to extinction, but the set of traits determining susceptibility varies across taxa. It is yet unclear which patterns are common to all taxa, and which are taxon-specific, with consequences to conservation practice. In this study we analysed the generality of trait-based prediction of extinction risk across terrestrial (including freshwater) vertebrates, invertebrates and plants at a global scale. For each group, we selected five representative taxa and within each group we explored whether risk can be related to any of 10 potential predictors. We then synthesized outcomes across taxa using a meta-analytic approach. High habitat specificity was a consistent predictor across vertebrates, invertebrates and plants, being a universal predictor of risk. Slow life-history traits – large relative offspring size, low fecundity, long generation length –, and narrow altitudinal range were also found to be good predictors across most taxa, but their universality needs to be supported with additional data. Poor dispersal ability was a common predictor of extinction risk among invertebrate and plant taxa, but not consistently among vertebrates. The remaining traits (body size, microhabitat verticality, trophic level, and diet breadth) were useful to predict extinction risk but only at lower taxonomical levels. Our study shows that despite the idiosyncrasies among taxa, universal susceptibility to extinction exists and several traits might influence extinction risk for most taxa. Informing conservation prioritization at lower taxonomic scales should however include taxon-specific trait-based predictors of extinction risk.
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