Khosravifard Sam, Venus Valentijn, Skidmore Andrew K, Bouten Willem, Muñoz Antonio R, Toxopeus Albertus G
1Faculty of Geo-Information Science and Earth Observation (IT1C), University of Twente, PO Box 217, 7500 AE Enschede, The Netherlands.
2Computational Geo-Ecology, Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam, PO Box 94248, 1090 GE Amsterdam, The Netherlands.
Int J Environ Res. 2018;12(3):313-325. doi: 10.1007/s41742-018-0093-z. Epub 2018 May 14.
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.
作为最常因与风力涡轮机碰撞而死亡的猛禽之一,人们对兀鹫在精细尺度上的飞行策略和行为知之甚少。在本研究中,我们使用高分辨率跟踪数据来区分兀鹫最常观察到的飞行类型,并通过在为期4周的野外工作期间进行的独立观察来评估我们提出的方法的性能。利用测量的GPS位置模式,区分出了五种被动飞行类型,包括三种翱翔类型和两种滑翔类型。在所有飞行模式中,滑翔的分类最为精确(精确率 = 88%),其次是直线翱翔和热气流翱翔,精确率分别为83%和75%。我们分类的总体准确率为70%。我们的研究贡献了一种使用高分辨率跟踪数据进行飞行类型分类的基线技术,朝着该物种的碰撞管理迈出了一步。