# Simple mechanistic traits outperform complex syndromes in predicting avian dispersal distances

**Authors:** Guillermo Fandos, Robert A. Robinson, Damaris Zurell

PMC · DOI: 10.1038/s42003-026-09676-x · Communications Biology · 2026-02-11

## TL;DR

The study finds that simple traits like body mass predict bird dispersal better than complex trait combinations.

## Contribution

It shows that single mechanistic traits outperform multi-trait syndromes in predicting avian dispersal.

## Key findings

- Body mass consistently predicts overall dispersal distances in birds.
- Flight efficiency is key for long-distance dispersal events.
- Multi-trait syndromes perform poorly compared to single-trait models.

## Abstract

Dispersal is a fundamental ecological and evolutionary process, but identifying its determinants and predicting it across species remains a major challenge. Dispersal syndromes, which describe patterns of covariation among traits related to dispersal, are thought to capture general rules of dispersal evolution and its ecological consequences. Based on the most comprehensive empirical dispersal dataset available for European birds, we test how dispersal syndromes form and how well they predict dispersal across species. We found that distinct dispersal processes were governed by different trait combinations, with body mass consistently predicting overall dispersal, whereas flight efficiency was key for long-distance dispersal events. However, multi-trait dispersal syndromes performed poorly for phylogenetically distant species and were outperformed by models based on single mechanistic traits, especially body mass, life history, and, to a lesser extent, flight efficiency. Thus, single traits with clear mechanistic meaning predict avian dispersal ability better than complex syndromes. These findings highlight the complexity of avian dispersal and emphasize the need for refined mechanistic approaches to understand the constraints shaping dispersal evolution. Together, our study calls for broader empirical efforts and more mechanistic frameworks to uncover the evolutionary and ecological drivers of dispersal.

An analysis using European continent-wide empirical data shows that single mechanistic traits predict avian dispersal better than complex syndromes. Body mass and life history dominate median dispersal, whereas flight efficiency shapes long-distance movements.

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12992614/full.md

## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC12992614/full.md

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Source: https://tomesphere.com/paper/PMC12992614