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

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

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

79 Downloads (Pure)

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.
Original languageEnglish
JournalJournal of Evolutionary Biology
Volume33
Issue number9
Pages (from-to)1216-1223
Number of pages8
ISSN1010-061X
DOIs
Publication statusPublished - 2020

Keywords

  • Variability
  • Variance ratio
  • Coefficient of variation
  • Early-life effects
  • Opportunity for selection
  • Parental effects

Fingerprint

Dive into the research topics of 'Illustrating the importance of meta-analysing variances alongside means in ecology and evolution'. Together they form a unique fingerprint.

Cite this