Illustrating the importance of meta-analysing variances alongside means in ecology and evolution

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1111/jeb.13661. This is version 4 of this Preprint.

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Authors

Alfredo Sánchez-Tójar, Nicholas Patrick Moran , Rose E O'Dea, Klaus Reinhold, Shinichi Nakagawa

Abstract

Meta-analysis is increasingly used in biology to both quantitatively summarize available evidence for specific questions, and generate new hypotheses. While this powerful tool has mostly been deployed to study mean effects, there is untapped potential to study effects on (trait) variance. Here, we use a recently published dataset as a case study to demonstrate how meta-analysis of variance can be used to provide insights into biological processes. This dataset included 704 effect sizes from 89 studies, covering 56 animal species, and was originally used to test developmental stress effects on a range of traits. We found that developmental stress not only negatively affects mean trait values, but also increases trait variance, mostly in reproduction, showcasing how meta-analysis of variance can reveal previously overlooked effects. Furthermore, we show how meta-analysis of variance can be used as a tool to help meta-analysts make informed methodological decisions, even when the primary focus is on mean effects. We provide all data and comprehensive R scripts with detailed explanations to make it easier for researchers to conduct this type of analysis. We encourage meta-analysts in all disciplines to move beyond the world of means and start unravelling secrets of the world of variance.

DOI

https://doi.org/10.32942/osf.io/yhfvk

Subjects

Ecology and Evolutionary Biology, Evolution, Life Sciences

Keywords

, coefficient of variation, early-life effects, environmental stress, opportunity for selection, parental effects, ratio of means, ROM, transgenerational effects, tyranny of averages, variability, variance ratio

Dates

Published: 2019-09-12 08:56

Last Updated: 2020-06-08 11:11

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License

CC-By Attribution-ShareAlike 4.0 International

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