Cargando…
Identification of Griffon Vulture’s Flight Types Using High-Resolution Tracking Data
Being one of the most frequently killed raptors by collision with wind turbines, little is known about the Griffon vulture’s flight strategies and behaviour in a fine scale. In this study, we used high-resolution tracking data to differentiate between the most frequently observed flight types of the...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445529/ https://www.ncbi.nlm.nih.gov/pubmed/31007688 http://dx.doi.org/10.1007/s41742-018-0093-z |
_version_ | 1783408215259611136 |
---|---|
author | Khosravifard, Sam Venus, Valentijn Skidmore, Andrew K. Bouten, Willem Muñoz, Antonio R. Toxopeus, Albertus G. |
author_facet | Khosravifard, Sam Venus, Valentijn Skidmore, Andrew K. Bouten, Willem Muñoz, Antonio R. Toxopeus, Albertus G. |
author_sort | Khosravifard, Sam |
collection | PubMed |
description | Being one of the most frequently killed raptors by collision with wind turbines, little is known about the Griffon vulture’s flight strategies and behaviour in a fine scale. In this study, we used high-resolution tracking data to differentiate between the most frequently observed flight types of the Griffon, and evaluated the performance of our proposed approach by an independent observation during a period of 4 weeks of fieldwork. Five passive flight types including three types of soaring and two types of gliding were discriminated using the patterns of measured GPS locations. Of all flight patterns, gliding was classified precisely (precision = 88%), followed by linear and thermal soaring with precision of 83 and 75%, respectively. The overall accuracy of our classification was 70%. Our study contributes a baseline technique using high-resolution tracking data for the classification of flight types, and is one step forward towards the collision management of this species. |
format | Online Article Text |
id | pubmed-6445529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-64455292019-04-17 Identification of Griffon Vulture’s Flight Types Using High-Resolution Tracking Data Khosravifard, Sam Venus, Valentijn Skidmore, Andrew K. Bouten, Willem Muñoz, Antonio R. Toxopeus, Albertus G. Int J Environ Res Research Paper Being one of the most frequently killed raptors by collision with wind turbines, little is known about the Griffon vulture’s flight strategies and behaviour in a fine scale. In this study, we used high-resolution tracking data to differentiate between the most frequently observed flight types of the Griffon, and evaluated the performance of our proposed approach by an independent observation during a period of 4 weeks of fieldwork. Five passive flight types including three types of soaring and two types of gliding were discriminated using the patterns of measured GPS locations. Of all flight patterns, gliding was classified precisely (precision = 88%), followed by linear and thermal soaring with precision of 83 and 75%, respectively. The overall accuracy of our classification was 70%. Our study contributes a baseline technique using high-resolution tracking data for the classification of flight types, and is one step forward towards the collision management of this species. Springer International Publishing 2018-05-14 2018 /pmc/articles/PMC6445529/ /pubmed/31007688 http://dx.doi.org/10.1007/s41742-018-0093-z Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Paper Khosravifard, Sam Venus, Valentijn Skidmore, Andrew K. Bouten, Willem Muñoz, Antonio R. Toxopeus, Albertus G. Identification of Griffon Vulture’s Flight Types Using High-Resolution Tracking Data |
title | Identification of Griffon Vulture’s Flight Types Using High-Resolution Tracking Data |
title_full | Identification of Griffon Vulture’s Flight Types Using High-Resolution Tracking Data |
title_fullStr | Identification of Griffon Vulture’s Flight Types Using High-Resolution Tracking Data |
title_full_unstemmed | Identification of Griffon Vulture’s Flight Types Using High-Resolution Tracking Data |
title_short | Identification of Griffon Vulture’s Flight Types Using High-Resolution Tracking Data |
title_sort | identification of griffon vulture’s flight types using high-resolution tracking data |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445529/ https://www.ncbi.nlm.nih.gov/pubmed/31007688 http://dx.doi.org/10.1007/s41742-018-0093-z |
work_keys_str_mv | AT khosravifardsam identificationofgriffonvulturesflighttypesusinghighresolutiontrackingdata AT venusvalentijn identificationofgriffonvulturesflighttypesusinghighresolutiontrackingdata AT skidmoreandrewk identificationofgriffonvulturesflighttypesusinghighresolutiontrackingdata AT boutenwillem identificationofgriffonvulturesflighttypesusinghighresolutiontrackingdata AT munozantonior identificationofgriffonvulturesflighttypesusinghighresolutiontrackingdata AT toxopeusalbertusg identificationofgriffonvulturesflighttypesusinghighresolutiontrackingdata |