Journal article
Bio-informed blade patterns for mitigating bird collisions with wind turbines
- Abstract:
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Although the rapid expansion of wind energy is essential for achieving carbon net zero targets, it may conflict with ecological objectives aimed at conserving and enhancing biodiversity. Birds in general are susceptible to colliding with wind turbines and the impact of these structures may be especially significant for certain species. By examining how birds acquire, process, and respond to environmental information, we propose a new collision mitigation approach that integrates sensory ecology with gaze strategy, flight behaviour, and natural avoidance mechanisms. To enhance collision avoidance, we propose investigating blade patterns that alter the optic flow perceived by birds – the dynamic visual contrast resulting from their movement through the environment. Empirical behavioural research is now needed to assess the effectiveness of these designs. Given the diversity of affected species and environments there may be no universal solution, and mitigations must also take account of the practical implications for developers and manufacturers. Our aim is to inspire and guide new research towards bio-informed solutions that protect wildlife without inhibiting clean energy generation.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.9MB, Terms of use)
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- Publisher copy:
- 10.1098/rsif.2025.0719
Authors
- Funder identifier:
- https://ror.org/00cwqg982
- Grant:
- 549
- Publisher:
- Royal Society
- Journal:
- Journal of the Royal Society Interface More from this journal
- Volume:
- 23
- Issue:
- 238
- Article number:
- 20250719
- Publication date:
- 2026-05-06
- Acceptance date:
- 2026-03-18
- DOI:
- EISSN:
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1742-5662
- ISSN:
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1742-5689
- Language:
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English
- Keywords:
- Pubs id:
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2389655
- Local pid:
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pubs:2389655
- Deposit date:
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2026-03-15
- ARK identifier:
Terms of use
- Copyright holder:
- Brighton et al.
- Copyright date:
- 2026
- Rights statement:
- © 2026 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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