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Quantifying phylogenetic beta diversity: distinguishing between 'true' turnover of lineages and phylogenetic diversity gradients

机译:量化系统发生的β多样性:区分谱系的“真实”周转与系统发生的多样性梯度

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摘要

The evolutionary dissimilarity between communities (phylogenetic beta diversity PBD) has been increasingly explored by ecologists and biogeographers to assess the relative roles of ecological and evolutionary processes in structuring natural communities. Among PBD measures, the PhyloSor and UniFrac indices have been widely used to assess the level of turnover of lineages over geographical and environmental gradients. However, these indices can be considered as 'broad-sense' measures of phylogenetic turnover as they incorporate different aspects of differences in evolutionary history between communities that may be attributable to phylogenetic diversity gradients. In the present study, we extend an additive partitioning framework proposed for compositional beta diversity to PBD. Specifically, we decomposed the PhyloSor and UniFrac indices into two separate components accounting for 'true' phylogenetic turnover and phylogenetic diversity gradients, respectively. We illustrated the relevance of this framework using simple theoretical and archetypal examples, as well as an empirical study based on coral reef fish communities. Overall, our results suggest that using PhyloSor and UniFrac may greatly over-estimate the level of spatial turnover of lineages if the two compared communities show contrasting levels of phylogenetic diversity. We therefore recommend that future studies use the 'true' phylogenetic turnover component of these indices when the studied communities encompass a large phylogenetic diversity gradient.
机译:生态学家和生物地理学家已经越来越多地探索群落之间的进化差异(系统进化的β多样性PBD),以评估生态和进化过程在构建自然群落中的相对作用。在PBD措施中,PhyloSor和UniFrac指数已被广泛用于评估沿地理和环境梯度变化的谱系更新水平。但是,这些指数可以视为系统发育更新的“广义”度量,因为它们结合了社区之间进化历史差异的不同方面,这可能归因于系统发育多样性梯度。在本研究中,我们将针对成分β多样性提出的加性划分框架扩展到PBD。具体来说,我们将PhyloSor和UniFrac指数分解为两个单独的成分,分别说明了“真实的”系统发生转换和系统发生多样性梯度。我们使用简单的理论和原型示例,以及基于珊瑚礁鱼类群落的实证研究,说明了该框架的相关性。总体而言,我们的研究结果表明,如果两个比较群落显示出不同的系统发育多样性水平,那么使用PhyloSor和UniFrac可能会大大高估谱系的空间更新水平。因此,我们建议,当所研究的社区包含较大的系统发育多样性梯度时,未来的研究应使用这些指数的“真实”系统发育转换成分。

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