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GPS tracking reveals the timing of collisions with powerlines and fences of three threatened steppe bird species

Published online by Cambridge University Press:  18 September 2024

Ana Teresa Marques*
Affiliation:
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
Carlos Pacheco
Affiliation:
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal Estação Biológica de Mértola (EBM), Praça Luís de Camões, Mértola, Portugal
François Mougeot
Affiliation:
Instituto de Investigación en Recursos Cinegéticos, IREC (CSIC-UCLM-JCCM), Ciudad Real, Spain
João Paulo Silva
Affiliation:
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, Vairão, Portugal CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Instituto Superior de Agronomia, Universidade de Lisboa, Lisbon, Portugal BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
*
Corresponding author: Ana Teresa Marques; Email: anateresamarques@cibio.up.pt
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Summary

Collision with powerlines is a major cause of mortality for many bird species, including bustards and sandgrouse. In this work, we used GPS tracking data to identify the hour of collision of three threatened steppe birds, i.e. Little Bustard Tetrax tetrax, Black-bellied Sandgrouse Pterocles orientalis, and Pin-tailed Sandgrouse Pterocles alchata. Out of a data set of 160 GPS-tracked individuals collected over a 13-year period, we detected eight collision events with powerlines or fences. Of these, we were able to determine the timing of 87.5% of the collision events with a resolution accurate to within two hours. Our results reveal that collisions occurred throughout the year and at different hours of the day, presenting a challenge for implementing effective mitigation strategies. The use of dynamic and reflective or luminescent devices may therefore be appropriate to prevent collision of steppe birds with powerlines during the day and night. Overall, this study adds evidence to the utility of using tracking data to better understand anthropogenic mortality in birds.

Information

Type
Short Communication
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© Associação BIOPOLIS, 2024. Published by Cambridge University Press on behalf of BirdLife International
Figure 0

Figure 1. Examples of collisions with powerlines detected by analysis of GPS tracking data.

Figure 1

Figure 2. Example of an accelerometer signature of a mortality generated at the Ornitrack website (https://cpanel.glosendas.net/).

Figure 2

Table 1. Summary of collisions between steppe birds and powerlines (PL) or fences, recorded using tracking data. The path from the last GPS-fix with evidence that the bird was alive to the first GPS-fix with a suspicion of mortality was used to determine heading. For infrastructure both minimum and maximum heights (below and top wire levels) are presented. W = winter; PB = post-breeding; B = breeding