Flight performance, activity and behaviour of breeding pied flycatchers in the wild, revealed with accelerometers and machine learning
Yu, H.; Liang, S.; Muijres, F. T.; te Lindert, J. S.; de Knegt, H. J.; Hedenstrom, A.; Lamers, K. P.; Henningsson, P.
Show abstract
Flight behaviours have been extensively studied from different angles such as their kinematics, aerodynamics and more general their migration pattern. Nevertheless, much is still unknown about the daily flight activity of birds, in terms of their performance, behaviour and the potential differences between males and females. The recent development of miniaturized accelerometers allows us a glimpse into the daily life of a songbird. Here, we tagged 26 pied flycatchers (Ficedula hypoleuca) with accelerometers and analysed using machine learning approaches their flight performance, activity and behaviour during their chick rearing period. We found that during two hours of foraging chick-rearing pied flycatchers were flying 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 peak flight accelerations were inversely correlated with wing loading. Despite this, we found no significant differences in flight activity and performance between sexes. This suggests that males possess a higher potential flight performance, which they not fully utilized during foraging flights. Our results thus suggest that male and female pied flycatcher invest equally in parental care, but that this comes at a reduced cost by the male, due to their higher flight performance potential.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spatial position relative to group members affects weight gain in meerkats (Suricata suricatta) 95%
- Great tits show serial reversal learning in the perseverance phase but not in the new learning phase 94%
- Galapagos yellow warblers differ in behavioural plasticity in response to traffic noise depending on proximity to road. 94%
Similar papers in this journal
Similar papers in this journal
- Camera traps unable to determine whether plasticine models of caterpillars reliably measure bird predation 95%
- Machine learning goes wild: Using data from captive individuals to infer wildlife behaviour 94%
- Wind and route choice affect performance of bees flying above versus within a cluttered obstacle field 94%
Similar papers in this journal
- Eurasian Spoonbill chicks receive parental care up to several months after fledging, but not into migration 95%
- Food-associated calls in disc-winged bats 94%
- Testing the maintenance of natural responses to survival-relevant calls in the conservation breeding population of a critically endangered corvid (Corvus hawaiiensis) 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.