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Model Adequacy and the Macroevolution of Angiosperm Functional Traits.

Matthew W Pennell¹, Richard G FitzJohn, William K Cornwell

¹Department of Biological Sciences and Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho 83844.

The American Naturalist

|December 15, 2015

Summary

Assessing phylogenetic trait models is crucial for evolutionary biology. Many common models poorly explain trait variation, offering insights into evolutionary processes.

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Area of Science:

Evolutionary Biology
Phylogenetics
Quantitative Genetics

Background:

Meaningful inferences from phylogenetic comparative data depend on appropriate models of trait evolution.
Assessing model adequacy, or absolute explanatory power, is vital but current methods are limited.
Previous research focused on relative model explanatory power, not absolute fit.

Purpose of the Study:

To present a general statistical framework for assessing the adequacy of phylogenetic trait evolution models.
To evaluate the statistical performance of commonly used trait models on empirical data.

Main Methods:

Developed a general statistical framework for assessing phylogenetic trait model adequacy.
Applied the framework to evaluate 337 comparative data sets of angiosperm functional traits.

Main Results:

Commonly used phylogenetic trait models often provided poor statistical explanations for trait evolution.
This inadequacy was observed across diverse groups and scales for key angiosperm traits.

Conclusions:

Model adequacy assessment is crucial for reliable phylogenetic comparative analyses.
Poor model fit can offer valuable insights into the evolutionary processes driving trait variation.
The developed framework provides a general approach to evaluate model performance in phylogenetics.