Institute of Geodesy and Geoinformatics, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.
Department of Vertebrate Ecology and Palaeontology, Institute of Environmental Biology, Wrocław University of Environmental and Life Sciences, Wrocław, Poland.
PLoS One. 2023 Aug 2;18(8):e0286239. doi: 10.1371/journal.pone.0286239. eCollection 2023.
With the development of sensors, recording and availability of high-resolution movement data from animals and humans, two disciplines have rapidly developed: human mobility and movement ecology. Addressing methodological gaps between these two mobility fields could improve the understanding of movement processes and has been defined as the Integrated Science of Movement. We apply well-known human mobility metrics and data processing methods to Global Positioning System (GPS) tracking data of European Herring Gulls (Larus argentatus) to test the usefulness of these methods for explaining animal mobility behavior. We use stop detection, spatial aggregation, and for the first time on animal movement data, two approaches to temporal aggregation (Next Time-Bin and Next Place). We also calculate from this data a set of movement statistics (visitation frequency, distinct locations over time, and radius of gyration). Furthermore, we analyze and compare the gull and human data from the perspective of scaling laws commonly used for human mobility. The results confirm those of previous studies and indicate differences in movement parameters between the breeding season and other parts of the year. This paper also shows that methods used in human mobility analysis have the potential to improve our understanding of animal behavior.
随着传感器的发展，以及动物和人类的高分辨率运动数据的记录和可用性，两个学科迅速发展起来：人类流动性和运动生态学。解决这两个流动性领域之间的方法差距可以提高对运动过程的理解，并被定义为运动综合科学。我们将广为人知的人类流动性指标和数据处理方法应用于欧洲银鸥（Larus argentatus）的全球定位系统（GPS）跟踪数据，以测试这些方法对于解释动物流动性行为的有用性。我们使用停止检测、空间聚集，并且首次在动物运动数据中使用两种时间聚集方法（下一个时间箱和下一个地点）。我们还从这些数据中计算了一组运动统计数据（访问频率、随时间变化的不同地点和转动半径）。此外，我们从常用于人类流动性的标度定律的角度分析和比较了鸥类和人类的数据。结果证实了先前研究的结果，并表明了繁殖季节和一年中其他时间的运动参数之间的差异。本文还表明，人类流动性分析中使用的方法有可能提高我们对动物行为的理解。
