Flight behaviours of birds have been extensively studied from different angles such as their kinematics, aerodynamics and more general, their migration patterns. Nevertheless, much is still unknown about the daily foraging flight activity and behaviour of breeding birds, and potential differences among males and females. The recent development of miniaturized accelerometers allows us a glimpse into the daily life of a songbird. Here, we tagged 13 male and 13 female pied flycatchers (Ficedula hypoleuca) with accelerometers and used machine learning approaches to analyse their flight activity and effort during the chick rearing period. We found that during two hours of foraging, chick-rearing pied flycatchers were flying on average 13.7% of the time. Almost all flights (>99%) were short flights lasting less than 10s. Flight activity changed throughout the day and was highest in the morning and lowest in the early afternoon. Male pied flycatcher had lower wing loading than females, and in-flight accelerations were inversely correlated with wing loading. Despite this, we found no significant differences in flight duration and intensity between sexes. This suggests that males possess a higher potential flight performance, which they did not fully utilize during foraging flights.
Flight activity and effort of breeding pied flycatchers in the wild, revealed with accelerometers and machine learning
- Award Group:
- Funder(s): Swedish Research Council
- Award Id(s): 2018-04292
- Funder(s):
- Award Group:
- Funder(s): Wageningen University and Research
- Award Id(s): Next Level Animal Sciences (NLAS)
- Funder(s):
- Award Group:
- Funder(s): Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Award Id(s): ALWOP.171
- Funder(s):
- Award Group:
- Funder(s): Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Award Id(s): VI.Vidi.193.054
- Funder(s):
Hui Yu, Shujie Liang, Florian T. Muijres, Jan Severin te Lindert, Henrik J. de Knegt, Anders Hedenström, Koosje P. Lamers, Per Henningsson; Flight activity and effort of breeding pied flycatchers in the wild, revealed with accelerometers and machine learning. J Exp Biol 2024; jeb.247606. doi: https://doi.org/10.1242/jeb.247606
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