Department of Evolutionary Ecology, Estación Biológica de Doñana CSIC, Seville, Spain.
PLoS One. 2012;7(12):e50336. doi: 10.1371/journal.pone.0050336. Epub 2012 Dec 11.
Technological advances for wildlife monitoring have expanded our ability to study behavior and space use of many species. But biotelemetry is limited by size, weight, data memory and battery power of the attached devices, especially in animals with light body masses, such as the majority of bird species. In this study, we describe the combined use of GPS data logger information obtained from free-ranging birds, and environmental information recorded by unmanned aerial systems (UASs). As a case study, we studied habitat selection of a small raptorial bird, the lesser kestrel Falco naumanni, foraging in a highly dynamic landscape. After downloading spatio-temporal information from data loggers attached to the birds, we programmed the UASs to fly and take imagery by means of an onboard digital camera documenting the flight paths of those same birds shortly after their recorded flights. This methodology permitted us to extract environmental information at quasi-real time. We demonstrate that UASs are a useful tool for a wide variety of wildlife studies.
技术进步为野生动物监测提供了更多的可能性,使我们能够研究许多物种的行为和空间利用方式。但是,生物遥测技术受到所附设备的尺寸、重量、数据存储和电池功率的限制,尤其是在体重较轻的动物中,如大多数鸟类。在本研究中,我们描述了从自由飞行的鸟类中获取 GPS 数据记录仪信息,并结合使用无人航空系统 (UAS) 记录的环境信息。作为一个案例研究,我们研究了在高度动态景观中觅食的小型猛禽,小猎隼 Falco naumanni 的栖息地选择。从附在鸟类身上的数据记录仪中下载时空信息后,我们通过机载数码相机编程 UAS 飞行和拍摄图像,记录下这些鸟类在记录飞行后不久的飞行轨迹。这种方法使我们能够近乎实时地提取环境信息。我们证明 UAS 是广泛的野生动物研究的有用工具。