Santos, Carlos David, Ramesh, Hariprasath, Ferraz, Rafael, Franco, Aldina M. A. ORCID: https://orcid.org/0000-0001-6055-7378 and Wilkelski, Martin
(2022)
Factors influencing wind turbine avoidance behaviour of a migrating soaring bird.
Scientific Reports, 12.
ISSN 2045-2322
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Abstract
Wind energy production has expanded as an alternative to carbon emitting fossil fuels, but is causing impacts on wildlife that need to be addressed. Soaring birds show concerning rates of collision with turbine rotor blades and losses of critical habitat. However, how these birds interact with wind turbines is poorly understood. We analyzed high-frequency GPS tracking data of 126 black kites (Milvus migrans) moving near wind turbines to identify behavioural mechanisms of turbine avoidance and their interaction with environmental variables. Birds flying within 1000 m from turbines and below the height of rotor blades were less likely to be oriented towards turbines than expected by chance, this pattern being more striking at distances less than 750 m. Within the range of 750 m, birds showed stronger avoidance when pushed by the wind in the direction of the turbines. Birds flying above the turbines did not change flight directions with turbine proximity. Sex and age of birds, uplift conditions and turbine height, showed no effect on flight directions although these factors have been pointed as important drivers of turbine collision by soaring birds. Our findings suggest that migrating black kites recognize the presence of wind turbines and behave in a way to avoid then. This may explain why this species presents lower collision rates with wind turbines than other soaring birds. Future studies should clarify if turbine avoidance behaviour is common to other soaring birds, particularly those that are facing high fatality rates due to collision.
Item Type: | Article |
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Additional Information: | Funding: This research was funded by the Portuguese Foundation for Science and Technology (grant to CDS, SFRH/BPD/64786/2009, and financial support to CESAM through national funds, UIDP/50017/2020, UIDB/50017/2020 and LA/P/0094/2020); the European Commission through the program Erasmus Mundus (grant to HR, international Master in Applied Ecology FPA 2023‐0224/532524-1-FR-2012-1-ERA MUNDUS-EMMC); the Deutsche Forschungsgemeinschaft (Germany's Excellence Strategy—EXC 2117–422037984); and the Max Planck institute für Verhaltensbiologie. Open Access funding enabled and organized by Projekt DEAL. |
Faculty \ School: | Faculty of Science > School of Environmental Sciences |
UEA Research Groups: | Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation Faculty of Science > Research Groups > Environmental Biology |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 26 Apr 2022 11:30 |
Last Modified: | 23 Oct 2022 03:42 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/84791 |
DOI: | 10.1038/s41598-022-10295-9 |
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