生物多样性 ›› 2020, Vol. 28 ›› Issue (9): 0-0.DOI: 10.17520/biods.2020142

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基于红外相机技术的中国哺乳动物多样性观测网络平台

万雅琼1,李佳琦1,杨兴文1,李晟2,徐海根1   

  1. 1. 生态环境部南京环境科学研究所
    2. 北京大学生命科学学院

  • 收稿日期:2020-04-07 修回日期:2020-05-15 出版日期:2020-09-20 发布日期:2020-09-12
  • 通讯作者: 李佳琦

China mammal diversity observation network (China BON-Mammal) platform based on camera-trapping

Yaqiong Wan1,Jiaqi Li1,Xingwen Yang1,Sheng Li2,Haigen Xu1   

  1. 1. Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment
    2. School of Life Sciences, Peking University

  • Received:2020-04-07 Revised:2020-05-15 Online:2020-09-20 Published:2020-09-12
  • Contact: Jiaqi Li

摘要: 中国哺乳动物观测网络(China BON-mammal)为中国生物多样性观测网络(China BON)下属子网,由生态环境部组织建设,南京环境科学研究所为牵头单位。观测网络以陆生大中型哺乳动物为观测对象,基于红外相机技术设置了统一的规程方案与技术标准, 2017-2019年在全国18个省区以县域为单元,选择74个代表性保护地作为观测样区开展红外相机观测。截至2019年底,观测网络共收集红外相机照片约200万份,其中野生动物有效照片30万张,共观测到分属11目28科的哺乳动物132种、分属16目55科的鸟类411种,其中国家一级重点保护野生动物物种兽类32种、鸟类12种,并发现多个物种分布新纪录和珍稀濒危物种。同时,观测网络平台研发了哺乳动物观测数据库用于图像数据的存储和分析。最后,对目前取得的成果及存在的问题进行分析,计划将进一步加强数据的处理分析与数据共享,进而更好的促进生物多样性保护工作。

关键词: 红外相机技术, 哺乳动物观测网络, 数据库平台, 物种名录

Abstract: The China Biodiversity Observation Network for Mammal (China BON-mammal) is a sub-network of the China Biodiversity Observation Network (China BON), organized by the Ministry of Ecology and Environment and led by the Nanjing Institute of Environmental Science. The observation network takes large and medium-sized terrestrial mammals as the observation objects, and sets a unified protocol and technical standards based on infrared camera trapping technology. From 2017 to 2019, 74 representative protected areas in county as the unit were selected as observation sample regions in China 18 provinces to conduct infrared camera observation. By the end of 2019, about 2 million photos were collected, 300000 of which show wild animals. And 132 species of mammals belonging to 11 orders 28 families and 411species of birds belonging to 16 orders 55 families were observed, among which 32 species of mammals and 12 species of birds were under the list of first class state protection. Some new records and rare species have been found. At the same time, camera-trapped mammal observation database is developped for image data storage and analysis. Finally, the current achievements and existing problems are analyzed, and the next plan of the platform for the future is to further improve the data processing, analysis and sharing, so as to better promote biodiversity conservation.

Key words: camera trapping, mammal observation network, database platform, species list