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The energy landscape predicts flight height and wind turbine collision hazard in three species of large soaring raptor / Emily, Shepard

Journal of Applied Ecology

Swansea University Author: Emily, Shepard

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...

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Published in: Journal of Applied Ecology
ISSN: 00218901
Published: 2017
Online Access: Check full text

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.
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: College of Science