Identification of Griffon Vulture's Flight Types Using High-Resolution Tracking Data

Sam Khosravifard (Corresponding Author), V. Venus, A.K. Skidmore, Willem Bouten, Antonio R. Munoz, A.G. Toxopeus

Research output: Contribution to journalArticleAcademicpeer-review

28 Downloads (Pure)

Abstract

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.
Original languageEnglish
Pages (from-to)313-325
Number of pages13
JournalInternational journal of environmental research
Volume12
Issue number3
Early online date14 May 2018
DOIs
Publication statusPublished - 1 Jun 2018

Fingerprint

flight
gliding
collision
raptor
wind turbine
fieldwork
GPS

Keywords

  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-HYBRID
  • UT-Hybrid-D

Cite this

@article{53963b43dd93423ba7af15d00d04b527,
title = "Identification of Griffon Vulture's Flight Types Using High-Resolution Tracking Data",
abstract = "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.",
keywords = "ITC-ISI-JOURNAL-ARTICLE, ITC-HYBRID, UT-Hybrid-D",
author = "Sam Khosravifard and V. Venus and A.K. Skidmore and Willem Bouten and Munoz, {Antonio R.} and A.G. Toxopeus",
year = "2018",
month = "6",
day = "1",
doi = "10.1007/s41742-018-0093-z",
language = "English",
volume = "12",
pages = "313--325",
journal = "International journal of environmental research",
issn = "1735-6865",
publisher = "University of Tehran",
number = "3",

}

Identification of Griffon Vulture's Flight Types Using High-Resolution Tracking Data. / Khosravifard, Sam (Corresponding Author); Venus, V.; Skidmore, A.K.; Bouten, Willem ; Munoz, Antonio R.; Toxopeus, A.G.

In: International journal of environmental research, Vol. 12, No. 3, 01.06.2018, p. 313-325.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Identification of Griffon Vulture's Flight Types Using High-Resolution Tracking Data

AU - Khosravifard, Sam

AU - Venus, V.

AU - Skidmore, A.K.

AU - Bouten, Willem

AU - Munoz, Antonio R.

AU - Toxopeus, A.G.

PY - 2018/6/1

Y1 - 2018/6/1

N2 - 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.

AB - 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.

KW - ITC-ISI-JOURNAL-ARTICLE

KW - ITC-HYBRID

KW - UT-Hybrid-D

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2018/isi/venus_ide.pdf

U2 - 10.1007/s41742-018-0093-z

DO - 10.1007/s41742-018-0093-z

M3 - Article

VL - 12

SP - 313

EP - 325

JO - International journal of environmental research

JF - International journal of environmental research

SN - 1735-6865

IS - 3

ER -