期刊
METHODS IN ECOLOGY AND EVOLUTION
卷 13, 期 2, 页码 367-382出版社
WILEY
DOI: 10.1111/2041-210X.13749
关键词
comparative analysis; macroevolution; RRPP
类别
资金
- National Science Foundation [DBI-1902511, DBI-1902694]
This study introduces a non-parametric statistical method for assessing the strength of phylogenetic signal across different traits, allowing for effective comparison of phylogenetic signal in multiple traits. Simulation experiments revealed that this method has greater statistical power for detecting phylogenetic signal in small trees.
Macroevolutionary studies frequently characterize the phylogenetic signal in phenotypes; however, analytical tools for comparing the strength of that signal across traits remain largely underdeveloped. We developed a non-parametric, permutation test for the log-likelihood of an evolutionary model, plus a standardized statistic, Z, from this test, which can be considered a phylogenetic signal effect size. This statistic can be used in two-sample tests to compare the strength of phylogenetic signal for multiple traits. We performed simulation experiments that revealed that Z had a linear association with Pagel's lambda, which could be predicted by tree size, plus could be quickly interpreted as a hypothesis for phylogenetic signal based on a standard normal distribution. We additionally found that the permutation test had greater statistical power for detecting phylogenetic signal than parametric likelihood ratio tests, especially for small trees. The analytical framework we present extends the phylogenetic comparative methods toolkit, allowing for statistical comparison of phylogenetic signal in multiple traits. Future studies could also consider this framework for the comparison of different evolutionary models, especially in light of different null processes.
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