Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines
Some wind farms have implemented automated camera-based monitoring systems, e.g., IdentiFlight to mitigate the impact of wind turbines on protected birds. These systems have promoted the collection of large amounts of unique data that can be used to describe flight behavior in a novel way. The aim o...
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2022
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Online Access: | https://orbit.dtu.dk/en/publications/09d52c70-8002-43e1-9bda-ce5d8871fa2e https://doi.org/10.3390/sym14112245 https://backend.orbit.dtu.dk/ws/files/297181089/symmetry_14_02245_v2.pdf |
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ftdtupubl:oai:pure.atira.dk:publications/09d52c70-8002-43e1-9bda-ce5d8871fa2e 2024-09-15T18:10:35+00:00 Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines Linder, Anne Cathrine Lyhne, Henriette Laubek, Bjarke Bruhn, Dan Pertoldi, Cino 2022 application/pdf https://orbit.dtu.dk/en/publications/09d52c70-8002-43e1-9bda-ce5d8871fa2e https://doi.org/10.3390/sym14112245 https://backend.orbit.dtu.dk/ws/files/297181089/symmetry_14_02245_v2.pdf eng eng https://orbit.dtu.dk/en/publications/09d52c70-8002-43e1-9bda-ce5d8871fa2e info:eu-repo/semantics/openAccess Linder , A C , Lyhne , H , Laubek , B , Bruhn , D & Pertoldi , C 2022 , ' Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines ' , Symmetry , vol. 14 , no. 11 , 2245 . https://doi.org/10.3390/sym14112245 IdentiFlight Avoidance response Golden eagle White-tailed eagle Red kite Wind turbine curtailment Flight behavior Flight symmetry article 2022 ftdtupubl https://doi.org/10.3390/sym14112245 2024-08-13T00:03:06Z Some wind farms have implemented automated camera-based monitoring systems, e.g., IdentiFlight to mitigate the impact of wind turbines on protected birds. These systems have promoted the collection of large amounts of unique data that can be used to describe flight behavior in a novel way. The aim of this study was to evaluate how this unique data can be used to create a robust quantitative behavioral analysis, that can be used to identify risk-prone flight behavior and avoidance behavior and thereby used to assess collision risk in the future. This was achieved through a case study at a wind farm on the Swedish island Gotland, where golden eagles (Aquila chrysaetos), white-tailed eagles (Haliaeetus albicilla), and red kites (Milvus milvus), were chosen as the bird species. These three species are generally rare breeds in Europe and have also been shown to be particularly vulnerable to collisions with wind turbines. The results demonstrate that data from the IdentiFlight system can be used to identify risk-prone flight behaviors, e.g., tortuous flight and foraging behavior. Moreover, it was found that these flight behaviors were affected by both weather conditions, but also their distance to the nearest wind turbine. This data can, thus, be used to evaluate collision risk and avoidance behavior. This study presents a promising framework for future research, demonstrating how data from camera-based monitoring systems can be utilized to quantitatively describe risk-prone behavior and thereby assess collision risk and avoidance behavior. Article in Journal/Newspaper Haliaeetus albicilla White-tailed eagle Aquila chrysaetos golden eagle Technical University of Denmark: DTU Orbit Symmetry 14 11 2245 |
institution |
Open Polar |
collection |
Technical University of Denmark: DTU Orbit |
op_collection_id |
ftdtupubl |
language |
English |
topic |
IdentiFlight Avoidance response Golden eagle White-tailed eagle Red kite Wind turbine curtailment Flight behavior Flight symmetry |
spellingShingle |
IdentiFlight Avoidance response Golden eagle White-tailed eagle Red kite Wind turbine curtailment Flight behavior Flight symmetry Linder, Anne Cathrine Lyhne, Henriette Laubek, Bjarke Bruhn, Dan Pertoldi, Cino Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines |
topic_facet |
IdentiFlight Avoidance response Golden eagle White-tailed eagle Red kite Wind turbine curtailment Flight behavior Flight symmetry |
description |
Some wind farms have implemented automated camera-based monitoring systems, e.g., IdentiFlight to mitigate the impact of wind turbines on protected birds. These systems have promoted the collection of large amounts of unique data that can be used to describe flight behavior in a novel way. The aim of this study was to evaluate how this unique data can be used to create a robust quantitative behavioral analysis, that can be used to identify risk-prone flight behavior and avoidance behavior and thereby used to assess collision risk in the future. This was achieved through a case study at a wind farm on the Swedish island Gotland, where golden eagles (Aquila chrysaetos), white-tailed eagles (Haliaeetus albicilla), and red kites (Milvus milvus), were chosen as the bird species. These three species are generally rare breeds in Europe and have also been shown to be particularly vulnerable to collisions with wind turbines. The results demonstrate that data from the IdentiFlight system can be used to identify risk-prone flight behaviors, e.g., tortuous flight and foraging behavior. Moreover, it was found that these flight behaviors were affected by both weather conditions, but also their distance to the nearest wind turbine. This data can, thus, be used to evaluate collision risk and avoidance behavior. This study presents a promising framework for future research, demonstrating how data from camera-based monitoring systems can be utilized to quantitatively describe risk-prone behavior and thereby assess collision risk and avoidance behavior. |
format |
Article in Journal/Newspaper |
author |
Linder, Anne Cathrine Lyhne, Henriette Laubek, Bjarke Bruhn, Dan Pertoldi, Cino |
author_facet |
Linder, Anne Cathrine Lyhne, Henriette Laubek, Bjarke Bruhn, Dan Pertoldi, Cino |
author_sort |
Linder, Anne Cathrine |
title |
Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines |
title_short |
Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines |
title_full |
Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines |
title_fullStr |
Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines |
title_full_unstemmed |
Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines |
title_sort |
quantifying raptors’ flight behavior to assess collision risk and avoidance behavior to wind turbines |
publishDate |
2022 |
url |
https://orbit.dtu.dk/en/publications/09d52c70-8002-43e1-9bda-ce5d8871fa2e https://doi.org/10.3390/sym14112245 https://backend.orbit.dtu.dk/ws/files/297181089/symmetry_14_02245_v2.pdf |
genre |
Haliaeetus albicilla White-tailed eagle Aquila chrysaetos golden eagle |
genre_facet |
Haliaeetus albicilla White-tailed eagle Aquila chrysaetos golden eagle |
op_source |
Linder , A C , Lyhne , H , Laubek , B , Bruhn , D & Pertoldi , C 2022 , ' Quantifying Raptors’ Flight Behavior to Assess Collision Risk and Avoidance Behavior to Wind Turbines ' , Symmetry , vol. 14 , no. 11 , 2245 . https://doi.org/10.3390/sym14112245 |
op_relation |
https://orbit.dtu.dk/en/publications/09d52c70-8002-43e1-9bda-ce5d8871fa2e |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3390/sym14112245 |
container_title |
Symmetry |
container_volume |
14 |
container_issue |
11 |
container_start_page |
2245 |
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1810448184802017280 |