Integrating light‐level geolocation with activity tracking reveals unexpected nocturnal migration patterns of the tawny pipit. (19th September 2020)

• Record Type: Journal Article
• Authors: Briedis, Martins; Beran, Václav; Adamík, Peter; Hahn, Steffen
• Is Part Of: Journal of avian biology. Volume 51:Number 9(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-09-19
• Subjects: accelerometer -- annual cycle -- bird migration -- departure -- flight performance -- nocturnal migrant; Ornithology -- Periodicals; Ornithology -- Scandinavia -- Periodicals; 598
• DOI: 10.1111/jav.02546
• Languages: English
• ISSNs: 0908-8857

Abstract

Abstract : Migratory birds complete their seasonal journeys between breeding and non‐breeding sites with a series of migratory flights that are separated by prolonged stopovers. While songbirds are the most common taxa among migratory birds, empirical data on flight and stopover behaviour along their entire migratory journeys are still rare. Here, we integrate activity and barometric pressure tracking with classical light‐level geolocation to describe migration behaviour of tawny pipits Anthus campestris breeding in central Europe. Surprisingly, tracked pipits used, on average, as many as 10 stopover sites during their six week, > 5000 km long autumn migration. This conforms to a typical hop‐type pattern of migration. In contrast to common knowledge which considers the tawny pipit as a typical diurnal migrant, our data revealed that more than two thirds of all migratory movements were carried out at night. Nocturnal departure times were highly variable within individuals and spread across the entire night while landing most often took place within the first few hours after sunrise. Consequently, there was a negative relationship between departure timing relative to sunset and flight duration. Short flights of up to 2 h were most common and median flight duration was 4.5 h. There was a hyperbolic relationship between flight duration and maximum flight altitude and flight altitudes during night were two times higher compared to daytime. The overall ratio of flight versus stopover duration during migration was on average 1:6.5. This closely matches predictions from theoretical models. We show that multi‐sensor tracking has the potential to provide unprecedented details on migratory behaviour of individual birds along their entire migratory journeys, and it also improves the precision of geographical locations derived from light‐level geolocators.