海南热带雨林国家公园常见鸟类鸣声数据集

doi:10.17520/biods.2025194

生物多样性 ›› 2025, Vol. 33 ›› Issue (11): 25194. DOI: 10.17520/biods.2025194 cstr: 32101.14.biods.2025194

海南热带雨林国家公园常见鸟类鸣声数据集

廖之锴¹^,²(), 白皓天³(), 张修瀚²^,⁴(), 余上³(), 凌嘉乐³(), 刘阳²^,^*()()

¹ 西南林业大学林学院, 昆明 650224, 中国
² 中山大学生态学院, 广东深圳 518107, 中国
³ 广州聆动生态技术有限公司, 广州 510555, 中国

收稿日期:2025-05-25 接受日期:2025-11-20 出版日期:2025-11-20 发布日期:2025-12-26
通讯作者: 刘阳
基金资助:
海南国家公园研究院科研课题(SYSU-77010-2021-002)

A dataset of common bird vocalizations in Hainan Tropical Rainforest National Park

Zhikai Liao¹^,²(), Haotian Bai³(), Xiuhan Zhang²^,⁴(), Shang Yu³(), Jiale Ling³(), Yang Liu²^,^*()()

¹ College of Forestry, Southwest Forestry University, Kunming 650224, China
² School of Ecology, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
³ Guangzhou Lindon Ecological Technology Ltd Co., Guangzhou 510555, China
⁴ Department of Life Sciences, Imperial College London, London, SW7 2AZ, United Kingdom
⁴ Department of Life Sciences, Imperial College London, London, SW7 2AZ, United Kingdom

Received:2025-05-25 Accepted:2025-11-20 Online:2025-11-20 Published:2025-12-26
Contact: Yang Liu
Supported by:
Supported by the Hainan National Park Research Institute Research Program(SYSU-77010-2021-002)

摘要/Abstract

摘要：

鸟类鸣声作为种间识别、种群动态及生态系统评估的重要生物声学指标, 在生物多样性监测中具有关键作用。我们于2021年6月至2022年4月在海南热带雨林国家公园开展声学监测, 采用人工录音和被动声纹监测设备收集数据, 结合人工智能识别算法与人工复核, 构建了包含9目25科46种常见鸟类的本地化鸣声数据集。数据集涵盖了由AI模型自动识别筛选的全部音频切片共12,187段, 以及由人工挑选的1-20段/种的标准化鸣声样本。本数据集可为热带雨林鸟类特有地理种群鸣声研究、人工智能驱动的大规模声学监测, 以及国家公园生物多样性评估提供基础数据支撑。

数据库(集)基本信息简介

数据库(集)名称	海南热带雨林国家公园常见鸟类鸣声数据集
作者	廖之锴, 白皓天, 张修瀚, 余上, 凌嘉乐, 刘阳
通讯作者	刘阳(liuy353@mail.sysu.edu.cn)
时间范围	2021年6月至2022年4月
地理区域	18°33'-19°14' N, 108°44'-110°04' E
文件大小	2.44 GB
数据格式	.zip, .xlsx
数据链接	https://doi.org/10.57760/sciencedb.25430 https://www.biodiversity-science.net/fileup/1005-0094/DATA/2025194.zip
数据库(集)组成	数据集共包括5个数据文件: (1) AI筛选鸣声数据.zip, 是AI识别筛选的46种常见鸟类的全部鸣声数据; (2)人工复核鸣声数据.zip, 是人工复核挑选的46种鸟类的高质量鸣声数据; (3)鸟类鸣声信息记录表.xlsx, 记录各音频采样的详细信息; (4)设备安装信息表.xlsx, 记录各设备安装的详细信息; (5)物种名录.xlsx, 是数据集包含的物种名录。

关键词: 海南热带雨林国家公园, 鸟类多样性, 鸟声识别, 被动声学监测

Abstract

Bird vocalizations, as an important bioacoustic indicator for interspecific identification, population dynamics, and ecosystem assessment, play a crucial role in biodiversity monitoring. We conducted acoustic monitoring in Hainan Tropical Rainforest National Park from June 2021 to April 2022. We used manual recording and passive acoustic monitoring equipment to collect data, in combination with artificial intelligence recognition algorithms and manual review, to construct a localized vocalizations database containing 46 common bird species from 25 families and 9 orders. The dataset covers a total of 12,187 audio segments automatically identified and filtered by the AI model, as well as standardized vocal samples of 1-20 segments per species manually selected. This database provides basic data support for research on vocalizations of geographically specific populations of tropical rainforest birds, large-scale acoustic monitoring driven by artificial intelligence, and biodiversity assessment of national parks.

Database/Dataset Profile

Title	A dataset of common bird vocalizations in Hainan Tropical Rainforest National Park
Data author(s)	Zhikai Liao, Haotian Bai, Xiuhan Zhang, Shang Yu, Jiale Ling, Yang Liu
Data corresponding author	Yang Liu (liuy353@mail.sysu.edu.cn)
Time range	From June 2021 to April 2022
Geographical scope	18°33°-19°14° N, 108°44°-110°04° E
File size	2.44 GB
Data format	.zip, .xlsx
Data link	https://doi.org/10.57760/sciencedb.25430 https://www.biodiversity-science.net/fileup/1005-0094/DATA/2025194.zip
Database/Dataset composition	The dataset comprises five data files: (1) “AI-filtered vocalizations data.zip” is audio data of vocalizations from all 46 common bird species, as identified and filtered by the AI model; (2) “Manually-reviewed vocalization data.zip” is manually-curated vocalization data for the 46 bird species; (3) “Bird vocalizations information record sheet.xlsx” records the detailed information of each audio sample; (4) “Equipment installation information sheet.xlsx” records the details of equipment installation; (5) “Species list.xlsx” is the species list of the dataset.

Key words: Hainan Tropical Rainforest National Park, bird diversity, bird sound recognition, passive acoustic monitoring

廖之锴, 白皓天, 张修瀚, 余上, 凌嘉乐, 刘阳 (2025) 海南热带雨林国家公园常见鸟类鸣声数据集. 生物多样性, 33, 25194. DOI: 10.17520/biods.2025194.

Zhikai Liao, Haotian Bai, Xiuhan Zhang, Shang Yu, Jiale Ling, Yang Liu (2025) A dataset of common bird vocalizations in Hainan Tropical Rainforest National Park. Biodiversity Science, 33, 25194. DOI: 10.17520/biods.2025194.

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链接本文: https://www.biodiversity-science.net/CN/10.17520/biods.2025194

https://www.biodiversity-science.net/CN/Y2025/V33/I11/25194

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参考文献 16

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海南热带雨林国家公园常见鸟类鸣声数据集

A dataset of common bird vocalizations in Hainan Tropical Rainforest National Park

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