2019
DOI: 10.1038/s41558-019-0648-9
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Phenology of nocturnal avian migration has shifted at the continental scale

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Cited by 115 publications
(133 citation statements)
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References 46 publications
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“…We found that more species exhibited changes in passage duration in fall than in spring demonstrating that the responses of songbirds to environmental change varies within and among species. Our study raises more questions than it answers by suggesting that, contrary to recent predictions, changes in stopover duration do not generate changes in songbird migration phenology (Horton et al, 2020). We conclude that no single factor is most important for changes in migration timing; rather they stem from the interaction of diverse intrinsic and extrinsic factors.…”
Section: Discussioncontrasting
confidence: 84%
“…We found that more species exhibited changes in passage duration in fall than in spring demonstrating that the responses of songbirds to environmental change varies within and among species. Our study raises more questions than it answers by suggesting that, contrary to recent predictions, changes in stopover duration do not generate changes in songbird migration phenology (Horton et al, 2020). We conclude that no single factor is most important for changes in migration timing; rather they stem from the interaction of diverse intrinsic and extrinsic factors.…”
Section: Discussioncontrasting
confidence: 84%
“…Migratory flights in many species occur at night, implying a seasonal change in individuals from almost exclusively daytime activity to nocturnal flight. This shift to additional nocturnality is starkly detectable in the wild, for example on a continental scale using weather radars (Horton et al, 2020), and in captivity as migratory restlessness as described above. Recent studies have indeed indicated that strong Zugunruhe associates with higher probability to migrate in the wild (Eikenaar et al, 2014;Mukhin et al, 2018).…”
Section: Diel Timingmentioning
confidence: 89%
“…when bird velocities exceed the radar pulse repetition frequency) following Sheldon et al (2013). We classified and removed weather contamination using MistNet (Lin et al, 2019) and then constructed vertical profiles of mean reflectivity from 0 to 3 km above ground level in 0.1 km height bins from the five lowest elevation scans in 5-37.5 km around each radar (Sheldon, 2015;Horton et al, 2020).…”
Section: Radar Data Processingmentioning
confidence: 99%