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Hitchhikers’ guide to analysing bird ringing data

机译:旅行者分析鸟鸣数据的指南

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Bird ringing datasets constitute possibly the largest source of temporal and spatial information on vertebrate taxa available on the globe. Initially, the method was invented to understand avian migration patterns. However, data deriving from bird ringing has been used in an array of other disciplines including population monitoring, changes in demography, conservation management and to study the effects of climate change to name a few. Despite the widespread usage and importance, there are no guidelines available specifically describing the practice of data management, preparation and analyses of ringing datasets. Here, we present the first of a series of comprehensive tutorials that may help fill this gap. We describe in detail and through a real-life example the intricacies of data cleaning and how to create a data table ready for analyses from raw ringing data in the R software environment. Moreover, we created and present here the R package; ringR , designed to carry out various specific tasks and plots related to bird ringing data. Most methods described here can also be applied to a wide range of capture-recapture type data based on individual marking, regardless to taxa or research question.
机译:鸟类鸣响数据集可能构成全球可获得的有关脊椎动物类群的时空信息的最大来源。最初,发明了该方法来了解鸟类迁移模式。但是,鸟类鸣响的数据已被用于其他许多学科,包括人口监测,人口统计学变化,保护管理以及研究气候变化的影响等。尽管具有广泛的用途和重要性,但没有可用于具体描述振铃数据集的数据管理,准备和分析实践的指南。在这里,我们介绍了一系列全面的教程中的第一个,可以帮助填补这一空白。我们将通过一个真实的示例详细描述数据清理的复杂性,以及如何创建数据表,以准备在R软件环境中根据原始振铃数据进行分析。此外,我们创建并在此展示了R包; ringR,旨在执行与鸟鸣响数据有关的各种特定任务和地块。此处描述的大多数方法也可以基于单个标记应用于各种捕获-捕获类型数据,无论分类单位或研究问题如何。

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