Pigeons in a flock go cheap: a re-evaluation of the energetics of flying in cluster flocks

The energy expended by animals during locomotion is often of considerable ecological importance. However, inaccurate conclusions about energy expenditure may arise if the limitations of the proxy variables being used to infer locomotion costs are not considered. The study of 'cluster' flocking behaviour in pigeons, using wingbeat frequency as a proxy for mechanical energy output, provides a useful illustration of these pitfalls. In contrast to claims in the literature, we suggest that published body kinematic values measured with accelerometers, along with our own heart rate data, show little evidence in support of the hypothesis that there is an increase in the mechanical energy costs for most pigeons to fly in a typical 'cluster' flock. Indeed, our re-analyses of acceleration-based measures of body power suggest there may be a positive energetic advantage to flying at low flock densities. We suggest that, when assessing energy expenditure using accelerometry-derived variables, the energy proxy units should be consistent with those of power, whether mass specific or absolute, and should control for differences in body mass and speed where appropriate. Accumulated total journey costs should also be assessed alongside instantaneous costs, with the former likely to be at least as ecologically significant.

Authors

Institutions

Publication Details

Journal
Biology Letters
Published
2025-07-01
DOI
https://doi.org/10.1098/rsbl.2025.0031
Citations
1
Primary Topic
Animal Behavior and Reproduction
Type
article
Field-Weighted Citation Impact
3.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Pigeons in a flock go cheap: a re-evaluation of the energetics of flying in cluster flocks

Lewis G. Halsey, Graham N. Askew, Charles M. Bishop
1 citations
Biology Letters
Animal Behavior and Reproduction
3.03
article

Pigeons in a flock go cheap: a re-evaluation of the energetics of flying in cluster flocks

Lewis G. Halsey, Graham N. Askew, Charles M. Bishop
article en
1 citations

Abstract

The energy expended by animals during locomotion is often of considerable ecological importance. However, inaccurate conclusions about energy expenditure may arise if the limitations of the proxy variables being used to infer locomotion costs are not considered. The study of 'cluster' flocking behaviour in pigeons, using wingbeat frequency as a proxy for mechanical energy output, provides a useful illustration of these pitfalls. In contrast to claims in the literature, we suggest that published body kinematic values measured with accelerometers, along with our own heart rate data, show little evidence in support of the hypothesis that there is an increase in the mechanical energy costs for most pigeons to fly in a typical 'cluster' flock. Indeed, our re-analyses of acceleration-based measures of body power suggest there may be a positive energetic advantage to flying at low flock densities. We suggest that, when assessing energy expenditure using accelerometry-derived variables, the energy proxy units should be consistent with those of power, whether mass specific or absolute, and should control for differences in body mass and speed where appropriate. Accumulated total journey costs should also be assessed alongside instantaneous costs, with the former likely to be at least as ecologically significant.

Biology LettersVol. 21(7)
University of Leeds (GB), Bangor University (GB), University of Roehampton (GB)
Biotechnology and Biological Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 10%
Animal Behavior and Reproduction
3.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.