Platalea leucorodia Linnaeus, 1758 [WoRMS]
Biologging; Accelerometer; Machine learning; Foraging success; Waterbird; Bioindicator; Platalea leucorodia
- Lok, T., meer
- van der Geest, M.
- Bom, R.A., meer
- de Goeij, P.
- Piersma, T., meer
- Bouten, W.
Quantifying foraging success in space and time and among individuals is essential for answering many ecological questions and may guide conservation efforts. However, collecting this information is challenging for species that forage on mobile prey and are difficult to observe visually, for example, because they forage in inaccessible areas or at night. In such cases, the use of tracking devices that simultaneously collect location and acceleration data may provide a solution if foraging success can be extracted successfully. The aim of this study was to assess how well searching for and ingesting prey, among other behaviours, could be distinguished from 20 Hz acceleration data collected by GPS/ACC-trackers mounted on the back of Eurasian spoonbills Platalea leucorodia. Upon capturing a prey, spoonbills make a distinct movement with their head and back to throw the prey from the tip of the bill into the throat.