Journal article icon

Journal article

Natural take-off flight performance is repeatable and scalable in mixed flock tit species

Abstract:
Modelling small bird flights is challenging, as small birds (< 20 g) rarely engage in steady-state flights, as assumed by traditional flight models. Additionally, their flights are difficult to measure in the field due to the mass of high-resolution GPS loggers and the low resolution in lightweight geolocators. This study aimed to measure and model spontaneous, non-steady-state take-off flights of wild tit species that forage in mixed flocks during winter, despite differences in body sizes and ecological niches. We recorded 1434 spontaneous flights from 49 individuals of great tits (Parus major), blue tits (Cyanistes caeruleus), and marsh tits (Poecile palustris) in the Paridae family using two automated RFID-infrared tunnels. We developed a power margin model to predict in-flight acceleration based on initial velocity, scaled by species-specific wing loading. Lastly, we tested the repeatability of flight metrics to assess whether flight may be interpreted as an individual behavioural trait. We found significant differences in initial velocity (p = 0.004) and in-flight acceleration (p <0.001) between species. The observed difference in the in-flight acceleration aligned with the power margin model prediction. Finally, we found significant individual repeatability in both initial velocity (R = 0.21) and in-flight acceleration (R = 0.11). Our findings suggest that the flight performance of small birds can be consistently measured in the field, modelled beyond steady-state assumptions, and interpreted as an individual behavioural trait.
Publication status:
Accepted
Peer review status:
Peer reviewed

Actions

Access Document

Files:

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Oxford college:
St Hugh's College
Role:
Author
ORCID:
0000-0002-2438-2352
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Biology
Role:
Author


Publisher:
Royal Society
Journal:
Journal of the Royal Society Interface More from this journal
Publication date:
2026-05-06
Acceptance date:
2026-03-15
EISSN:
1742-5662
ISSN:
1742-5689


Language:
English
Keywords:
Pubs id:
2392499
Local pid:
pubs:2392499
Deposit date:
2026-03-20
ARK identifier:

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP