4.5 Article

Timing of spring departure of long distance migrants correlates with previous year's conditions at their breeding site

Journal

BIOLOGY LETTERS
Volume 17, Issue 9, Pages -

Publisher

ROYAL SOC
DOI: 10.1098/rsbl.2021.0331

Keywords

circannual clock; migration timing; green-up date; phenology; Eurasian curlew; Numenius arquata

Funding

  1. Estonian Environmental Investment Centre
  2. European Regional Development Fund (grant QUALIDRIS)
  3. Contrat de Plan Etat-Region
  4. CNRS (grant ECONAT)
  5. German Federal Agency for Nature Conservation (BfN) [FKZ 3515822100, FKZ 3519861400]
  6. Ligue pour la Protection des Oiseaux

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Long-distance migrants may synchronize their circannual clock according to the phenology of their environment during the breeding season, adjusting their migration timing based on conditions encountered at their breeding site the year before. Spring departure date is influenced by green-up date of the previous year, while arrival date at the breeding site is determined mainly by the latitude and longitude of the site.
Precise timing of migration is crucial for animals targeting seasonal resources at locations encountered across their annual cycle. Upon departure, long-distance migrants need to anticipate unknown environmental conditions at their arrival site, and they do so with their internal annual clock. Here, we tested the hypothesis that long-distance migrants synchronize their circannual clock according to the phenology of their environment during the breeding season and therefore adjust their spring departure date according to the conditions encountered at their breeding site the year before. To this end, we used tracking data of Eurasian curlews from different locations and combined movement data with satellite-extracted green-up dates at their breeding site. The spring departure date was better explained by green-up date of the previous year, while arrival date at the breeding site was better explained by latitude and longitude of the breeding site, suggesting that other factors impacted migration timing en route. On a broader temporal scale, our results suggest that long-distance migrants may be able to adjust their migration timing to advancing spring dates in the context of climate change.

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