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

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10615 - Ornithology

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA20-00648S" target="_blank" >GA20-00648S: Vztahy mezi migračními zvyklostmi, fenologií, biotopovými nároky a demografií jako klíč k pochopení zákonitostí populační dynamiky tažných ptáků</a><br>

  • Návaznosti

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

Ostatní

  • Rok uplatnění

    2020

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Avian Biology

  • ISSN

    0908-8857

  • e-ISSN

  • Svazek periodika

    51

  • Číslo periodika v rámci svazku

    9

  • Stát vydavatele periodika

    DK - Dánské království

  • Počet stran výsledku

    10

  • Strana od-do

    "e02546-1"-"e02546-10"

  • Kód UT WoS článku

    000582489000003

  • EID výsledku v databázi Scopus

    2-s2.0-85092472458