Rabosky Daniel L, Benson Roger B J
Museum of Zoology, University of Michigan, Ann Arbor, MI, USA.
Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.
Nat Commun. 2021 May 19;12(1):2945. doi: 10.1038/s41467-021-23307-5.
Estimates of evolutionary diversification rates - speciation and extinction - have been used extensively to explain global biodiversity patterns. Many studies have analyzed diversification rates derived from just two pieces of information: a clade's age and its extant species richness. This "age-richness rate" (ARR) estimator provides a convenient shortcut for comparative studies, but makes strong assumptions about the dynamics of species richness through time. Here we demonstrate that use of the ARR estimator in comparative studies is problematic on both theoretical and empirical grounds. We prove mathematically that ARR estimates are non-identifiable: there is no information in the data for a single clade that can distinguish a process with positive net diversification from one where net diversification is zero. Using paleontological time series, we demonstrate that the ARR estimator has no predictive ability for real datasets. These pathologies arise because the ARR inference procedure yields "point estimates" that have been computed under a saturated statistical model with zero degrees of freedom. Although ARR estimates remain useful in some contexts, they should be avoided for comparative studies of diversification and species richness.
进化多样化速率(即物种形成和灭绝速率)的估计已被广泛用于解释全球生物多样性模式。许多研究仅根据两条信息来分析多样化速率:一个进化枝的年龄及其现存物种丰富度。这种“年龄-丰富度速率”(ARR)估计器为比较研究提供了一种便捷的捷径,但对物种丰富度随时间变化的动态做出了强有力的假设。在这里,我们证明在比较研究中使用ARR估计器在理论和实证方面都存在问题。我们通过数学证明ARR估计是不可识别的:单个进化枝的数据中没有信息能够区分净多样化为正的过程和净多样化为零的过程。利用古生物学时间序列,我们证明ARR估计器对真实数据集没有预测能力。这些问题的出现是因为ARR推断程序产生的“点估计”是在自由度为零的饱和统计模型下计算出来的。尽管ARR估计在某些情况下仍然有用,但在多样化和物种丰富度的比较研究中应避免使用。