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光强地理位置分析器:使用指南。

Light-level geolocator analyses: A user's guide.

机构信息

Department of Bird Migration, Swiss Ornithological Institute, Sempach, Switzerland.

Department of Migration, Max Planck Institute for Animal Behavior, Radolfzell, Germany.

出版信息

J Anim Ecol. 2020 Jan;89(1):221-236. doi: 10.1111/1365-2656.13036. Epub 2019 Jun 25.

Abstract

Light-level geolocator tags use ambient light recordings to estimate the whereabouts of an individual over the time it carried the device. Over the past decade, these tags have emerged as an important tool and have been used extensively for tracking animal migrations, most commonly small birds. Analysing geolocator data can be daunting to new and experienced scientists alike. Over the past decades, several methods with fundamental differences in the analytical approach have been developed to cope with the various caveats and the often complicated data. Here, we explain the concepts behind the analyses of geolocator data and provide a practical guide for the common steps encompassing most analyses - annotation of twilights, calibration, estimating and refining locations, and extraction of movement patterns - describing good practices and common pitfalls for each step. We discuss criteria for deciding whether or not geolocators can answer proposed research questions, provide guidance in choosing an appropriate analysis method and introduce key features of the newest open-source analysis tools. We provide advice for how to interpret and report results, highlighting parameters that should be reported in publications and included in data archiving. Finally, we introduce a comprehensive supplementary online manual that applies the concepts to several datasets, demonstrates the use of open-source analysis tools with step-by-step instructions and code and details our recommendations for interpreting, reporting and archiving.

摘要

光感地理定位标签利用环境光记录来估计佩戴设备的个体在一段时间内的位置。在过去的十年中,这些标签已经成为一种重要的工具,被广泛用于跟踪动物迁徙,最常见的是小型鸟类。分析地理定位器数据对于新手和经验丰富的科学家来说都是一项艰巨的任务。在过去的几十年中,已经开发出了几种在分析方法上有根本区别的方法,以应对各种限制和通常复杂的数据。在这里,我们解释了地理定位器数据分析背后的概念,并为常见的分析步骤(包括黄昏注释、校准、位置估计和细化以及运动模式提取)提供了实用指南——描述了每个步骤的良好实践和常见陷阱。我们讨论了决定地理定位器是否能够回答提出的研究问题的标准,为选择适当的分析方法提供指导,并介绍最新的开源分析工具的关键特性。我们提供了如何解释和报告结果的建议,突出了出版物中应报告的参数,并包括在数据归档中。最后,我们引入了一个全面的在线补充手册,该手册将这些概念应用于几个数据集,演示了如何使用分步说明和代码的开源分析工具,并详细说明了我们对解释、报告和归档的建议。

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