Journal article 1517 views 203 downloads
The energy landscape predicts flight height and wind turbine collision hazard in three species of large soaring raptor
Guillaume Péron,
Christen H. Fleming,
Olivier Duriez,
Julie Fluhr,
Christian Itty,
Sergio Lambertucci,
Kamran Safi,
Emily Shepard 
,
Justin M. Calabrese,
Silke Bauer
,
Justin M. Calabrese,
Silke Bauer
Journal of Applied Ecology
Swansea University Author:
Emily Shepard
DOI (Published version): 10.1111/1365-2664.12909
Abstract
Flight height was examined in a range of soaring raptors in order to predict the potential collision risk between these birds and wind turbines. This study developed a new method to account for the uncertainty in measurement of flight height from GPS-based measurements of altitude. The results indic...
| Published in: | Journal of Applied Ecology |
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| ISSN: | 00218901 |
| Published: |
2017
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa32982 |
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| Abstract: |
Flight height was examined in a range of soaring raptors in order to predict the potential collision risk between these birds and wind turbines. This study developed a new method to account for the uncertainty in measurement of flight height from GPS-based measurements of altitude. The results indicate that species vary in their collision risk in line with expectations based on body size. In addition, collision risk can be predicted from thermal uplift potential. The new methods can be applied to other systems to examine collision risk. |
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| Keywords: |
flight height, movement ecology, 3D, human-wildlife conflict, wind turbines, wind power, continuous-time, raptor, state-space models, z-axis GPS tracking data |
| College: |
Faculty of Science and Engineering |