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

Sanchez-Tojar A, Moran NP, O'Dea RE, Reinhold K, Nakagawa S (2020)
Journal of Evolutionary Biology 33(9): 1216-1223.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
OA 921.90 KB
Autor*in
Sanchez-Tojar, AlfredoUniBi ; Moran, Nicholas P.; O'Dea, Rose E.; Reinhold, KlausUniBi; Nakagawa, Shinichi
Abstract / Bemerkung
Meta‐analysis is increasingly used in biology to both quantitatively summarize available evidence for specific questions and generate new hypotheses. Although 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 data set as a case study to demonstrate how meta‐analysis of variance can be used to provide insights into biological processes. This data set 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.
Stichworte
Ecology; Evolution; Behavior and Systematics
Erscheinungsjahr
2020
Zeitschriftentitel
Journal of Evolutionary Biology
Band
33
Ausgabe
9
Seite(n)
1216-1223
ISSN
1010-061X
eISSN
1420-9101
Finanzierungs-Informationen
Open-Access-Publikationskosten wurden durch die Universität Bielefeld im Rahmen des DEAL-Vertrags gefördert.
Page URI
https://pub.uni-bielefeld.de/record/2943842

Zitieren

Sanchez-Tojar A, Moran NP, O'Dea RE, Reinhold K, Nakagawa S. Illustrating the importance of meta‐analysing variances alongside means in ecology and evolution. Journal of Evolutionary Biology. 2020;33(9):1216-1223.
Sanchez-Tojar, A., Moran, N. P., O'Dea, R. E., Reinhold, K., & Nakagawa, S. (2020). Illustrating the importance of meta‐analysing variances alongside means in ecology and evolution. Journal of Evolutionary Biology, 33(9), 1216-1223. doi:10.1111/jeb.13661
Sanchez-Tojar, A., Moran, N. P., O'Dea, R. E., Reinhold, K., and Nakagawa, S. (2020). Illustrating the importance of meta‐analysing variances alongside means in ecology and evolution. Journal of Evolutionary Biology 33, 1216-1223.
Sanchez-Tojar, A., et al., 2020. Illustrating the importance of meta‐analysing variances alongside means in ecology and evolution. Journal of Evolutionary Biology, 33(9), p 1216-1223.
A. Sanchez-Tojar, et al., “Illustrating the importance of meta‐analysing variances alongside means in ecology and evolution”, Journal of Evolutionary Biology, vol. 33, 2020, pp. 1216-1223.
Sanchez-Tojar, A., Moran, N.P., O'Dea, R.E., Reinhold, K., Nakagawa, S.: Illustrating the importance of meta‐analysing variances alongside means in ecology and evolution. Journal of Evolutionary Biology. 33, 1216-1223 (2020).
Sanchez-Tojar, Alfredo, Moran, Nicholas P., O'Dea, Rose E., Reinhold, Klaus, and Nakagawa, Shinichi. “Illustrating the importance of meta‐analysing variances alongside means in ecology and evolution”. Journal of Evolutionary Biology 33.9 (2020): 1216-1223.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2020-10-08T10:04:35Z
MD5 Prüfsumme
41464b0f9ac2d12149f956715262b950

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®

Quellen

PMID: 32512630
PubMed | Europe PMC

Suchen in

Google Scholar