Integrating light‐level geolocation with activity tracking reveals unexpected nocturnal migration patterns of the tawny pipit

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73604314" target="_blank" >RIV/61989592:15310/20:73604314 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/10.1111/jav.02546" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1111/jav.02546</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/jav.02546" target="_blank" >10.1111/jav.02546</a>

Result language

angličtina

Original language name

Integrating light‐level geolocation with activity tracking reveals unexpected nocturnal migration patterns of the tawny pipit

Original language description

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, &gt; 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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10615 - Ornithology

Project

<a href="/en/project/GA20-00648S" target="_blank" >GA20-00648S: Integrating migration patterns, phenology, year-round habitat use and demography to understand drivers of population dynamics in migratory birds</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Avian Biology

ISSN

0908-8857

e-ISSN

—

Volume of the periodical

51

Issue of the periodical within the volume

9

Country of publishing house

DK - DENMARK

Number of pages

10

Pages from-to

"e02546-1"-"e02546-10"

UT code for WoS article

000582489000003

EID of the result in the Scopus database

2-s2.0-85092472458