Wagner P J
Department of Geology, Field Museum of Natural History, Roosevelt Road at Lake Shore Drive, Chicago, Illinois 60605-2496, USA.
Syst Biol. 2000 Mar;49(1):65-86. doi: 10.1080/10635150050207393.
Because phylogenies can be estimated without stratigraphic data and because estimated phylogenies also infer gaps in sampling, some workers have used phylogeny estimates as templates for evaluating sampling from the fossil record and for "correcting" historical diversity patterns. However, it is not known how sampling intensity (the probability of sampling taxa per unit time) and completeness (the proportion of taxa sampled) affect the accuracy of phylogenetic inferences, nor how phylogenetically inferred estimates of sampling and diversity respond to inaccurate estimates of phylogeny. Both issues are addressed with a series of simulations using simple models of character evolution, varying speciation patterns, and various rates of speciation, extinction, character change, and preservation. Parsimony estimates of simulated phylogenies become less accurate as sampling decreases, and inaccurate trees chronically underestimate sampling. Biotic factors such as rates of morphologic change and extinction both affect the accuracy of phylogenetic estimates and thus affect estimated gaps in sampling, indicating that differences in implied sampling need not reflect actual differences in sampling. Errors in inferred diversity are concentrated early in the history of a clade. This, coupled with failure to account for true extinction times (i.e., the Signor-Lipps effect), inflates relative diversity levels early in clade histories. Because factors other than differences in sampling predict differences in the numbers of gaps implied by phylogeny estimates, inferred phylogenies can be misleading templates for evaluating sampling or historical diversity patterns.
由于系统发育可以在没有地层数据的情况下进行估计,并且由于估计的系统发育也能推断出采样中的空白,一些研究人员已将系统发育估计用作模板,以评估来自化石记录的采样情况,并“校正”历史多样性模式。然而,尚不清楚采样强度(单位时间内采样分类群的概率)和完整性(采样分类群的比例)如何影响系统发育推断的准确性,也不清楚系统发育推断出的采样和多样性估计如何响应不准确的系统发育估计。本文通过一系列模拟解决了这两个问题,这些模拟使用了简单的性状演化模型、不同的物种形成模式以及各种物种形成、灭绝、性状变化和保存速率。随着采样减少,模拟系统发育的简约估计变得不那么准确,并且不准确的树会长期低估采样情况。形态变化速率和灭绝速率等生物因素既影响系统发育估计的准确性,进而影响估计的采样空白,这表明隐含采样的差异不一定反映采样的实际差异。推断多样性中的误差集中在一个进化枝历史的早期。这一点,再加上未能考虑真实的灭绝时间(即西诺-利普斯效应),会在进化枝历史早期夸大相对多样性水平。由于除采样差异之外的其他因素也能预测系统发育估计所隐含的空白数量差异,因此推断的系统发育可能是评估采样或历史多样性模式的误导性模板。