WATLAS: high-throughput and real-time tracking of many small birds in the Dutch Wadden Sea

IF 2.4 3区 环境科学与生态学 Q2 BIODIVERSITY CONSERVATION Animal Biotelemetry Pub Date : 2021-11-10 DOI:10.1101/2021.11.08.467683
A. Bijleveld, Frank van Maarseveen, Bas Denissen, Anne Dekinga, Emma Penning, Selin Ersoy, P. Gupte, L. D. De Monte, Job ten Horn, R. Bom, Sivan Toledo, Ran Nathan, Christine E. Beardsworth
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引用次数: 1

Abstract

Tracking animal movement is important for understanding how animals interact with their (changing) environment, and crucial for predicting and explaining how animals are affected by anthropogenic activities. The Wadden Sea is a UNESCO World Heritage Site and a region of global importance for millions of shorebirds. Due to climate change and anthropogenic activity, understanding and predicting movement and space-use in areas like the Wadden Sea is increasingly important. Monitoring and predicting animal movement, however, requires high-resolution tracking of many individuals. While high-resolution tracking has been made possible through GPS, trade-offs between tag weight and battery life limit its use to larger species. Here, we introduce WATLAS (the Wadden Sea deployment of the ATLAS tracking system) capable of monitoring the movements of hundreds of (small) birds simultaneously in the Dutch Wadden Sea. WATLAS employs an array of receiver stations that can detect and localize small, low-cost tags at fine spatial (metres) and temporal resolution (seconds). From 2017 to 2021, we tracked red knots, sanderlings, bar-tailed godwits, and common terns. We use parts of these data to give four use-cases revealing its performance and demonstrating how WATLAS can be used to study numerous aspects of animal behaviour, such as, space-use (both intra- and inter-specific), among-individual variation, and social networks across levels of organization: from individuals, to species, to populations, and even communities. After describing the WATLAS system, we first illustrate space-use of red knots across the study area and how the tidal environment affects their movement. Secondly, we show large among-individual differences in distances travelled per day, and thirdly illustrate how high-throughput WATLAS data allows calculating a proximity-based social network. Finally, we demonstrate that using WATLAS to monitor multiple species can reveal differential space use. For example, despite sanderlings and red knots roosting together, they foraged in different areas of the mudflats. The high-resolution tracking data collected by WATLAS offers many possibilities for research into the drivers of bird movement in the Wadden Sea. WATLAS could provide a tool for impact assessment, and thus aid nature conservation and management of the globally important Wadden Sea ecosystem.
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WATLAS:对荷兰瓦登海许多小型鸟类进行高通量和实时跟踪
跟踪动物的运动对于了解动物如何与其(变化的)环境相互作用非常重要,对于预测和解释动物如何受到人为活动的影响至关重要。瓦登海被联合国教科文组织列为世界遗产,对数百万的滨鸟来说是一个具有全球重要性的地区。由于气候变化和人为活动,了解和预测瓦登海等地区的运动和空间利用变得越来越重要。然而,监测和预测动物的运动需要对许多个体进行高分辨率的跟踪。虽然GPS已经使高分辨率追踪成为可能,但标签重量和电池寿命之间的权衡限制了它在大型物种中的应用。在这里,我们介绍WATLAS(瓦登海部署的ATLAS跟踪系统),它能够同时监测荷兰瓦登海数百只(小型)鸟类的活动。WATLAS采用一系列接收站,能够以精确的空间(米)和时间(秒)分辨率探测和定位小型、低成本的标签。从2017年到2021年,我们追踪了红尾鹬、三鳃鳗、斑尾鹬和普通燕鸥。我们使用这些数据的一部分给出了四个用例,揭示了它的性能,并展示了WATLAS如何用于研究动物行为的许多方面,例如,空间使用(种内和种间),个体之间的变化,以及跨组织层面的社会网络:从个体到物种,到种群,甚至社区。在描述了WATLAS系统之后,我们首先说明了红结在研究区域的空间使用以及潮汐环境如何影响它们的运动。其次,我们展示了每天旅行距离的巨大个体差异,第三,说明了高通量WATLAS数据如何允许计算基于邻近的社会网络。最后,我们证明了利用WATLAS监测多个物种可以揭示空间利用的差异。例如,尽管沙鳗和红结在一起栖息,但它们在泥滩的不同区域觅食。WATLAS收集的高分辨率跟踪数据为研究瓦登海鸟类运动的驱动因素提供了许多可能性。WATLAS可以为影响评估提供一个工具,从而有助于全球重要的瓦登海生态系统的自然保护和管理。
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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来源期刊
Animal Biotelemetry
Animal Biotelemetry Agricultural and Biological Sciences-Animal Science and Zoology
CiteScore
4.20
自引率
11.10%
发文量
33
审稿时长
10 weeks
期刊介绍: Animal Biotelemetry is an open access peer-reviewed journal that publishes the results of studies utilizing telemetric techniques (including biologgers) to understand physiological, behavioural, and ecological mechanisms in a broad range of environments (e.g. terrestrial, freshwater and marine) and taxa. The journal also welcomes descriptions and validations of newly developed tagging techniques and tracking technologies, as well as methods for analyzing telemetric data.
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