Data and code to explore annual cycle schedule adjustments in a long distance migrant

Matching the timing of annual cycle events with the required resources can have crucial consequences for individual fitness. But as the annual cycle is comprised of sequential events, a delay at any point may be carried over to the subsequent stage (or more, in a domino effect) and negatively influence individual performance. To investigate how migratory animals navigate their annual schedule, and where and when it may be adjusted, we used full annual cycle data of 38 Icelandic whimbrels Numenius phaeopus islandicus tracked over 7 years –  a subspecies that typically performs long-distance migrations to West Africa. We found that individuals apparently used the wintering sites to compensate for delays that mostly arose due to previous successful breeding, and a domino effect was observed from spring departure to laying date, with the potential to affect breeding output. However, the total time saved during all stationary periods is apparently enough to avoid interannual effects bet..., , , # Data and code to explore annual cycle schedule adjustments in a long distance migrant

[https://doi.org/10.5061/dryad.vt4b8gtv9](https://doi.org/10.5061/dryad.vt4b8gtv9)

## Description of the data and file structure

This study investigates how migratory animals navigate their annual schedule, and where and when adjust it, using the Icelandic whimbrel (Numenius phaeopus islandicus) as a model.

Individuals apparently compensated for delays at the wintering sites, which mostly arose due to previous successful breeding, and a domino effect was observed from spring departure to laying date, with the potential to affect breeding output.

We appreciate that anyone interested in using these data contacts the authors.

### Files and variables

Following variables explanation, the corresponding R script is mentioned, with indication R packages required, and the versions used, to analyse the dataset.

All analysis were conducted in R version 4.0.3.

### dataSEM

Variable explanation:

* fledg...