FATBIRD: A Tool for Flight and Trajectories Analyses of Birds

Daniyal Kazempour, A. Beer, Friederike Herzog, Daniel Kaltenthaler, Johannes-Y. Lohrer, T. Seidl
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引用次数: 1

Abstract

Abstract-Analyzing flyways of birds is one approach ornithologists pursue e.g. to be able to detect potential risks during the animal's migration. But this analysis is not trivial and the functionalities of existing supporting tools are neither perfect nor all-encompassing. In this paper, we introduce our new FATBIRD Tool, which not only visualizes flyways or arbitrary trajectories, but also helps the researchers in several aspects of the analysis. Similarities between all trajectories of the individual birds are calculated via Dynamic Time Warping distances, which is to the best of our knowledge the first usage in this field and delivers promising results. We show the functionalities of our tool on a use case based on real data of a GPS/GSM telemetry study of Eurasian curlews of the "Bavarian Society for the Protection of Birds". The similarities are shown in an intuitively understandable heat map colored distance matrix as well as a hierarchical clustering dendrogram. The clustering of all data points is performed and shown, and the data can be filtered by several parameters. With that, potential stop-over and wintering areas can be detected very fast and easily. After having obtained the similarities and differences of the trajectories in an automatic way, the researchers can focus on the biological reasons of the generated results of the FATBIRD Tool. These can lead to a better understanding of e.g. why certain birds die on their flyways and thus to new approaches to develop optimized conservation measures for the specific species.
FATBIRD:鸟类飞行和轨迹分析工具
分析鸟类的飞行路线是鸟类学家追求的一种方法,例如能够发现动物迁徙过程中的潜在风险。但是这种分析并不是微不足道的,现有支持工具的功能既不完美也不全面。在本文中,我们介绍了新的FATBIRD工具,它不仅可以可视化飞行路线或任意轨迹,而且可以帮助研究人员在几个方面进行分析。个体鸟的所有轨迹之间的相似性是通过动态时间翘曲距离计算的,据我们所知,这是该领域的第一次使用,并提供了有希望的结果。我们以“巴伐利亚鸟类保护协会”的欧亚鸻的GPS/GSM遥测研究的真实数据为例展示了我们的工具的功能。相似之处显示在直观易懂的热图彩色距离矩阵以及分层聚类树状图中。执行并显示所有数据点的聚类,并可以通过几个参数过滤数据。有了它,潜在的中途停留和越冬区域可以非常快速和容易地发现。在自动获得轨迹的异同之后,研究人员可以将重点放在FATBIRD工具生成结果的生物学原因上。这些可以帮助我们更好地理解为什么某些鸟类会在飞行途中死亡,从而找到针对特定物种制定优化保护措施的新方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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