TY - JOUR
T1 - How to improve the accuracy of height data from bird tracking devices?
T2 - An assessment of high-frequency GPS tracking and barometric altimetry in field conditions
AU - Schaub, Tonio
AU - Millon, Alexandre
AU - De Zutter, Caroline
AU - Buij, Ralph
AU - Chadœuf, Joël
AU - Lee, Simon
AU - Mionnet, Aymeric
AU - Klaassen, Raymond Hendrikus Gerardus
N1 - Funding Information:
We would like to thank everyone involved in fieldwork, notably Jean-Luc Bourrioux, Pascal Albert, Jérôme Isambert, Arthur Keller, Christelle Scheid, Julien Rougé, Marine Felten, Lucas and Eric Graja, La Volerie des Aigles, Parc Animalier de Sainte-Croix, Werkgroep Roofvogels Noordoostpolder, Kjell Janssens, Almut Schlaich, Madeleine Postma, Sylvia de Vries and Ben Koks; Ramunas Zydelis (Ornitela) and Paweł Otulak (Milsar) for support with the GPS tags; Willem Bouten for support with the UvA-BiTS system and helpful discussions; Bart Nolet, Chris Thaxter, Simon Chamaillé-Jammes, Agathe Leriche and Anne Prieur-Vernat for helpful comments and advice; Christophe Baehr and Bart van Stratum for help with weather data and barometric calculations; and two anonymous reviewers for valuable comments which improved the manuscript. The UvA-BiTS infrastructure was facilitated by Infrastructures for EScience, developed with the support of the Netherlands eScience Centre (NLeSC) and LifeWatch, and conducted on the Dutch National E-Infrastructure with support from the SURF Foundation.
Funding Information:
TS’ PhD position was co-funded by ENGIE and ANRT (Cifre Grant 2020/0448). GPS tags and fieldwork were funded by Natural England (Montagu’s and hen harriers Champagne), ENGIE Green, CNR, EDPR, Boralex (red kites Grand Est), Dutch Province of Flevoland and Dutch Ministry of Agriculture, Nature and Food Quality (marsh harriers Flevoland), Dutch Province of Groningen, Dutch Ministry of Agriculture, Nature and Food Quality, Prins Bernhard Cultuurfonds and B.V. Oldambt (Montagu’s, hen and marsh harriers Groningen).
Publisher Copyright:
© 2023, BioMed Central Ltd., part of Springer Nature.
PY - 2023/8/4
Y1 - 2023/8/4
N2 - Background: 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.
AB - Background: 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.
KW - Bird of prey
KW - Collision risk
KW - Continuous GPS mode
KW - Flight height
KW - Raptor
KW - Telemetry
KW - Vertical accuracy
KW - Vertical error
KW - Wind energy
KW - Wind turbine
UR - http://www.scopus.com/inward/record.url?scp=85167463750&partnerID=8YFLogxK
U2 - 10.1186/s40317-023-00342-1
DO - 10.1186/s40317-023-00342-1
M3 - Article
AN - SCOPUS:85167463750
SN - 2050-3385
VL - 11
JO - Animal Biotelemetry
JF - Animal Biotelemetry
IS - 1
M1 - 31
ER -