How to improve the accuracy of height data from bird tracking devices? An assessment of high-frequency GPS tracking and barometric altimetry in field conditions

Tonio Schaub (1) , Alexandre Millon (1) , Caroline de Zutter (2) , Ralph Buij (2) , Joël Chadœuf (3) , Simon Lee (4, 5) , Aymeric Mionnet (6) , Raymond Hendrikus Gerardus Klaassen (7)

1 IMBE - Institut méditerranéen de biodiversité et d'écologie marine et continentale
2 CRIGEN - Centre de Recherche & Innovation Gaz et Energies Nouvelles - GDF Suez
3 GAFL - Génétique et Amélioration des Fruits et Légumes
4 Université de Hull
5 Natural England
6 LPO - Ligue pour la Protection des Oiseaux
7 GELIFES - Groningen Institute for Evolutionary Life Sciences [Groningen]

In the context of rapid development of wind energy infrastructure, information on the flight height of birds is vital to assess their collision risk with wind turbines. GPS tags potentially represent a powerful tool to collect flight height data, yet GPS positions are associated with substantial vertical error. Here, we assessed to what extent high-frequency GPS tracking with fix intervals of 2–3 s (GPS remaining turned on between fixes), or barometric altimetry using air pressure loggers integrated in GPS tags, improved the accuracy of height data compared to standard low-frequency GPS tracking (fix interval ≥ 5 min; GPS turned off between fixes). Results Using data from 10 GPS tag models from three manufacturers in a field setting (194 tags deployed on free-living raptors), we estimated vertical accuracy based on periods when the birds were stationary on the ground (true height above ground was approximately zero), and the difference between GPS and barometric height in flight. In GPS height data, vertical accuracy was mainly driven by noise (little bias), while in barometric data, it was mostly affected by bias (little noise). In high-frequency GPS data, vertical accuracy was improved compared to low-frequency data in each tag model (mean absolute error (AE) reduced by 72% on average; range of mean AE 2–7 vs. 7–30 m). In barometric data, vertical accuracy did not differ between high- and low-frequency modes, with a bias of − 15 to − 5 m and mean AE of 7–15 m in stationary positions. However, the median difference between GPS and barometric data was smaller in flight positions than in stationary positions, suggesting that the bias in barometric height data was smaller in flight. Finally, simulations showed that the remaining vertical error in barometric and high-frequency GPS data had little effect on flight height distributions and the proportion of positions within the collision risk height range, as opposed to the extensive noise found in low-frequency GPS data in some tag models. Conclusions Barometric altimetry may provide more accurate height data than standard low-frequency GPS tracking, but it involves the risk of a systematic error. Currently, high-frequency GPS tracking provides highest vertical accuracy and may thus substantially advance the study of wind turbine collision risk in birds.

Mots clés: Wind energy; Wind turbine; Collision risk; Bird of prey; Raptor; Continuous GPS mode; Telemetry; Flight height; Vertical accuracy; Vertical error

Domaines: Biodiversité et Ecologie

Tonio Schaub, Alexandre Millon, Caroline de Zutter, Ralph Buij, Joël Chadœuf, et al.. How to improve the accuracy of height data from bird tracking devices? An assessment of high-frequency GPS tracking and barometric altimetry in field conditions. Animal Biotelemetry, 2023, 11 (1), pp.31. ⟨10.1186/s40317-023-00342-1⟩. ⟨hal-04447704⟩