生物多样性 ›› 2023, Vol. 31 ›› Issue (1): 22344.  DOI: 10.17520/biods.2022344

• 中国野生脊椎动物鸣声监测与生物声学研究专题 • 上一篇    下一篇

中国43种蛙类鸣声特征数据集

邓可1, 汪小萍1,2, 朱弼成1, 赵龙辉1, 杨悦1, 蔡炎林1, 孙晓倩1, 王同亮3,*(), 崔建国1,*   

  1. 1.中国科学院成都生物研究所, 成都 610041
    2.中国科学院大学, 北京 100049
    3.海南师范大学生命科学学院, 海口 571158
  • 收稿日期:2022-06-21 接受日期:2022-08-03 出版日期:2023-01-20 发布日期:2022-09-25
  • 通讯作者: *崔建国, E-mail: cuijg@cib.ac.cn
  • 基金资助:
    两栖爬行动物行为学四川省青年科技创新研究团队(2022JDTD0026);热带岛屿生态学教育部重点实验室开放课题(HNSF-OP-202002)

A dataset on the call characteristics of 43 anuran species in China

Ke Deng1, Xiaoping Wang1,2, Bicheng Zhu Longhui Zhao1, Yue Yang1, Yanlin Cai1, Xiaoqian Sun1, Tongliang Wang1, Jianguo Cui3,*()   

  1. 1. Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041
    2. University of Chinese Academy of Sciences, Beijing 100049
    3. College of Life Sciences, Hainan Normal University, Haikou 571158
  • Received:2022-06-21 Accepted:2022-08-03 Online:2023-01-20 Published:2022-09-25
  • Contact: *Jianguo Cui, E-mail: cuijg@cib.ac.cn

摘要:

无尾两栖动物的鸣声通常具有物种特异性, 了解其鸣声特征信息, 是利用生物声学进行物种多样性调查及物种监测的前提。本文汇总、整理了2012-2020年间利用高保真录音设备在野外记录的43种(隶属于7科26属)无尾两栖动物的鸣声数据, 以及相应的鸣声采集信息。对音频文件进行降噪处理后, 提供了由61个鸣声的波形图及语图组成的鸣声特征数据集。本数据集展示了鸣声的多种时域和频域信息, 如单音节或多音节、音节数、音节时长、音节间隔、鸣声时长、主频、基频、谐波等, 为我国无尾两栖类的声学研究、物种多样性调查及鸣声监测提供了数据支持。

关键词: 蛙, 蟾蜍, 时域特征, 频域特征, 波形图, 语图

Abstract

Calls of anuran species (frogs and toads) are generally species-specific. This means that bioacoustics can be used to investigate species diversity and monitor species, but only if the call characteristics are known. In this study, we summarize the call data and sample information of 43 anuran species (from 26 genera in 7 families) recorded in the field with high-fidelity recorders from 2012 to 2020. In addition, we provide a call characteristic dataset with oscillograms and spectrograms of 61 calls (after noise reduction processing). The dataset contains temporal and spectral characteristics of the calls, such as the note number, note duration, inter-note interval, call duration, dominant frequency, fundamental frequency, harmonics, and whether they are monosyllabic or multisyllabic. This dataset is essential for using acoustic techniques to survey species diversity and monitor anuran species in China using their calls.

Key words: frog, toad, temporal characteristic, spectral characteristic, oscillogram, spectrogram