Audio recordings of Atelpus varius calls from Panama

Anurans (frogs and toads) are among the most globally threatened taxonomic
groups. Successful conservation of anurans will rely on improved data on
the status and changes in local populations, particularly for rare and
threatened species. Automated sensors, such as acoustic recorders, have
the potential to provide such data by massively increasing the spatial and
temporal scale of population sampling efforts. We used AudioMoth
autonomous recorders to survey for the critically endangered Harlequin
toad (Atelopus varius) in Panama. This sampling effort generated
thousands of hours of audio recordings from stream-side transects.
Atelopus varius has a distinctive call with fast amplitude
modulation of about 120 pulses per second.  We used the
opens-source Repeat Interval-Based Bioacoustic Identification Tool
(RIBBIT), which classifies anuran vocalizations in audio recordings based
on their periodic structure, to detect A. varius vocalizations in the
data. Here we provide 70 detected recordings of A. varius. These
recordings represent a dramatic increase in the total number of openly
available audio recordings of A.
varius vocalizations.

无尾目（Anurans，即蛙类与蟾蜍类）是全球受威胁最为严重的生物类群之一。对无尾目物种的成功保护，有赖于针对当地种群现状及其动态变化的完善数据，尤其针对稀有及受威胁物种。自动化声学传感器（如声学记录仪）可通过大幅提升种群采样的空间与时间覆盖尺度，为保护工作提供此类数据。本研究使用AudioMoth自主记录仪，在巴拿马对极度濒危的哈莱金蟾蜍（Atelopus varius）开展调查，该采样工作累计获取了数千小时的溪流沿岸样带录音。哈莱金蟾蜍的鸣叫声具有鲜明特征，其振幅调制速率约为每秒120个脉冲。我们采用开源的基于重复间隔的生物声学识别工具（Repeat Interval-Based Bioacoustic Identification Tool, RIBBIT）——该工具可基于周期性结构对录音中的无尾目动物鸣唱进行分类——对数据集内的该物种鸣叫声开展检测。本文公开了70段经检测确认的哈莱金蟾蜍鸣唱录音，相较于当前公开可获取的该物种鸣唱录音总量，这一数量实现了大幅增长。