Wing length canalisation and behaviour across birds: a phylogenetic meta-analysis of variance

preprint OA: closed
Full text JSON View at publisher

Abstract

Stronger stabilising selection is expected to lead to a decrease in trait variation (i.e., in higher canalisation). We examined this prediction across species by investigating individual variation in wing length across measured as the coefficient of variation (CV). We hypothesised that species that heavily rely on aerial feeding as well as long-distance migratory species should show higher canalisation (lower CV) in wing length than non-aerial feeders and non-migratory species. We collected species- and population-specific summary statistics on wing length for males (k = 340 CV values) and females (k = 310) from the literature (172 species, 314 populations) and analysed them using recently developed meta-analytic metrics for integrating phenotypic variance estimates. Our phylogenetic multilevel meta-analysis showed that heterogeneity among CV values was relatively low, indicating generalisability and replicability of the overall CV value (2.6%). Nonetheless, about a third of the heterogeneity was associated with phylogenetic relationships (23%) and differences among species (8%), a precondition to test for species-specific drivers of those differences. Although not all pairwise comparisons were statistically significant, all our analyses both at the species and the population level robustly and consistently showed higher canalisation in aerial (CV = 2.5% [2.2 to 2.9]) compared to non-aerial feeders (CV = 2.7% [2.4 to 3.0]), and in migratory (CV = 2.5% [2.2 to 2.9]) compared to non-migratory species (CV = 2.8% [2.4 to 3.2]). We conclude that wing length in bird species relying on their wings more heavily is likely under stronger (stabilising) selection, which in turn would have led to the observed higher canalisation on this trait for those species. Our study showcases how to combine already available descriptive statistics for phenotypic traits with underused meta-analysis of variance approaches to test often-neglected evolutionary predictions at the variance level. We hope to inspire others to expand our phylogenetic study to more species and life-history traits as well as to other wing traits of higher dimensionality such as wing area and shape, and more generally, to study canalisation across species and traits.
Full text 2,972 characters · extracted from oa-doi-fallback · 2 sections · click to expand

Abstract

Stronger stabilising selection is expected to lead to a decrease in trait variation (i.e., in higher canalisation). We examined this prediction across species by investigating individual variation in wing length across measured as the coefficient of variation (CV). We hypothesised that species that heavily rely on aerial feeding as well as long-distance migratory species should show higher canalisation (lower CV) in wing length than non-aerial feeders and non-migratory species. We collected species- and population-specific summary statistics on wing length for males (k = 340 CV values) and females (k = 310) from the literature (172 species, 314 populations) and analysed them using recently developed meta-analytic metrics for integrating phenotypic variance estimates. Our phylogenetic multilevel meta-analysis showed that heterogeneity among CV values was relatively low, indicating generalisability and replicability of the overall CV value (2.6%). Nonetheless, about a third of the heterogeneity was associated with phylogenetic relationships (23%) and differences among species (8%), a precondition to test for species-specific drivers of those differences. Although not all pairwise comparisons were statistically significant, all our analyses both at the species and the population level robustly and consistently showed higher canalisation in aerial (CV = 2.5% [2.2 to 2.9]) compared to non-aerial feeders (CV = 2.7% [2.4 to 3.0]), and in migratory (CV = 2.5% [2.2 to 2.9]) compared to non-migratory species (CV = 2.8% [2.4 to 3.2]). We conclude that wing length in bird species relying on their wings more heavily is likely under stronger (stabilising) selection, which in turn would have led to the observed higher canalisation on this trait for those species. Our study showcases how to combine already available descriptive statistics for phenotypic traits with underused meta-analysis of variance approaches to test often-neglected evolutionary predictions at the variance level. We hope to inspire others to expand our phylogenetic study to more species and life-history traits as well as to other wing traits of higher dimensionality such as wing area and shape, and more generally, to study canalisation across species and traits. DOI https://doi.org/10.32942/X2PG92 Subjects Life Sciences

Keywords

meta-analysis of variance; evidence synthesis; avian; comparative analysis; coefficient of variation; canalization; replicability; generalizability; life-history evolution Dates Published: 2025-03-15 01:07 Last Updated: 2026-02-23 20:14 Older Versions License CC-BY Attribution-No Derivatives 4.0 International Additional Metadata Conflict of interest statement: None Data and Code Availability Statement: Code and data are publicly available: https://github.com/ASanchez-Tojar/meta-analysis_canalisation_bird_wing/blob/main/data/final/METADATA.csv Language: English

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00