African Centre for DNA Barcoding, University of Johannesburg, Gauteng, South Africa.
PLoS One. 2012;7(10):e47082. doi: 10.1371/journal.pone.0047082. Epub 2012 Oct 8.
There is an urgent need to reduce drastically the rate at which biodiversity is declining worldwide. Phylogenetic methods are increasingly being recognised as providing a useful framework for predicting future losses, and guiding efforts for pre-emptive conservation actions. In this study, we used a reconstructed phylogenetic tree of angiosperm species of the Eastern Arc Mountains - an important African biodiversity hotspot - and described the distribution of extinction risk across taxonomic ranks and phylogeny. We provide evidence for both taxonomic and phylogenetic selectivity in extinction risk. However, we found that selectivity varies with IUCN extinction risk category. Vulnerable species are more closely related than expected by chance, whereas endangered and critically endangered species are not significantly clustered on the phylogeny. We suggest that the general observation for taxonomic and phylogenetic selectivity (i.e. phylogenetic signal, the tendency of closely related species to share similar traits) in extinction risks is therefore largely driven by vulnerable species, and not necessarily the most highly threatened. We also used information on altitudinal distribution and climate to generate a predictive model of at-risk species richness, and found that greater threatened species richness is found at higher altitude, allowing for more informed conservation decision making. Our results indicate that evolutionary history can help predict plant susceptibility to extinction threats in the hyper-diverse but woefully-understudied Eastern Arc Mountains, and illustrate the contribution of phylogenetic approaches in conserving African floristic biodiversity where detailed ecological and evolutionary data are often lacking.
迫切需要大幅降低全球生物多样性下降的速度。系统发育方法越来越被认为是预测未来损失和指导预防性保护行动的有用框架。在这项研究中,我们使用了东非大裂谷被子植物物种的重建系统发育树 - 这是一个重要的非洲生物多样性热点 - 并描述了分类等级和系统发育上灭绝风险的分布。我们提供了灭绝风险在分类和系统发育上具有选择性的证据。然而,我们发现选择性随 IUCN 灭绝风险类别而变化。脆弱物种比随机预期的更密切相关,而濒危和极危物种在系统发育上没有明显聚类。我们认为,灭绝风险中分类和系统发育选择性的一般观察(即系统发育信号,即密切相关的物种具有相似特征的趋势)主要是由脆弱物种驱动的,而不一定是受威胁程度最高的物种。我们还利用海拔分布和气候信息生成了一个濒危物种丰富度的预测模型,发现海拔较高的地方受威胁物种的丰富度更高,从而可以做出更明智的保护决策。我们的结果表明,进化历史可以帮助预测在高度多样化但研究不足的东非大裂谷中植物对灭绝威胁的敏感性,并说明了在详细的生态和进化数据通常缺乏的情况下,系统发育方法在保护非洲植物生物多样性方面的贡献。