Campus Units

Ecology, Evolution and Organismal Biology

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

11-2019

Journal or Book Title

Annual Review of Ecology, Evolution, and Systematics

Volume

50

DOI

10.1146/annurev-ecolsys-110218-024555

Abstract

Evolutionary biology is multivariate, and advances in phylogenetic comparative methods for multivariate phenotypes have surged to accommodate this fact. Evolutionary trends in multivariate phenotypes are derived from distances and directions between species in a multivariate phenotype space. For these patterns to be interpretable, phenotypes should be characterized by traits in commensurate units and scale. Visualizing such trends, as is achieved with phylomorphospaces, should continue to play a prominent role in macroevolutionary analyses. Evaluating phylogenetic generalized least squares (PGLS) models (e.g., phylogenetic analysis of variance and regression) is valuable, but using parametric procedures is limited to only a few phenotypic variables. In contrast, nonparametric, permutation-based PGLS methods provide a flexible alternative and are thus preferred for high-dimensional multivariate phenotypes. Permutation-based methods for evaluating covariation within multivariate phenotypes are also well established and can test evolutionary trends in phenotypic integration. However, comparing evolutionary rates and modes in multivariate phenotypes remains an important area of future development.

Comments

Posted with permission from the Annual Review of Ecology, Evolution, and Systematics, Volume 50© by Annual Reviews, http://www.annualreviews.org.

Copyright Owner

Annual Reviews

Language

en

File Format

application/pdf

Published Version

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