生物多样性 ›› 2014, Vol. 22 ›› Issue (6): 704-711.  DOI: 10.3724/SP.J.1003.2014.14075

所属专题: 野生动物的红外相机监测

• 综述 • 上一篇    下一篇

探讨我国森林野生动物红外相机监测规范

肖治术1,,A;*(), 李欣海1, 王学志2, 周岐海3, 权锐昌4, 申小莉5, 李晟6   

  1. 1 .中国科学院动物研究所农业虫害鼠害综合治理研究国家重点实验室, 北京 100101
    2 .中国科学院计算机网络信息中心, 北京 100190
    3 .广西师范大学广西珍稀濒危动物生态学重点实验室, 广西桂林 541004
    4 .中国科学院西双版纳热带植物园热带森林生态学重点实验室, 云南西双版纳 666303
    5 .中国科学院植物研究所植被与环境变化重点实验室, 北京 100093
    6 .北京大学生命科学学院, 北京 100871
  • 收稿日期:2014-04-10 接受日期:2014-10-08 出版日期:2014-11-20 发布日期:2014-12-11
  • 通讯作者: 肖治术
  • 基金资助:
    中国科学院知识创新工程重要方向项目(KSCX2-EW-N-05)、“十二五”国家科技支撑项目(2012BAD19B02)和国家科技基础条件平台工作重点项目(2005DKA21402)

Developing camera-trapping protocols for wildlife monitoring in Chinese forests

Zhishu Xiao1,*(), Xinhai Li1, Xuezhi Wang2, Qihai Zhou3, Ruichang Quan4, Xiaoli Shen5, Sheng Li6   

  1. 1. State Key Laboratory of Integrated Management of Pest Insects and Rodents in Agriculture, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101
    2. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190
    3. Guangxi Key Laboratory of Rare and Endangered Animal Ecology, Guangxi Normal University, Guilin, Guangxi 541004
    4. Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Xishuangbanna, Yunnan 666303
    5.State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093
    6 School of Life Sciences, Peking University, Beijing 100871
  • Received:2014-04-10 Accepted:2014-10-08 Online:2014-11-20 Published:2014-12-11
  • Contact: Xiao Zhishu

摘要:

野生动物多样性是生物多样性监测与保护管理评价的关键指标, 因此对野生动物进行长期监测是中国森林生物多样性监测网络(CForBio)等大尺度生物多样性监测研究计划的一个重要组成部分。2011年以来, CForBio网络陆续在多个森林动态监测样地开展以红外相机来监测野生动物多样性。随着我国野生动物红外相机监测网络的初步形成, 亟待建立和执行基于红外相机技术的统一监测规范。基于3年来在我国森林动态监测样地红外相机监测的进展情况, 以及热带生态评价与监测网络针对陆生脊椎动物(兽类和鸟类)所提出的红外相机监测规范, 本文从监测规范和监测注意事项等方面探讨了我国森林野生动物红外相机监测的现状和未来。

关键词: 红外相机技术, 中国森林生物多样性监测网络, 野生动物监测, 监测规范

Abstract

Wildlife monitoring is one key indicator used for biodiversity assessment. Therefore, developing wildlife monitoring protocols is an important component of large-scale biodiversity monitoring program such as the Chinese Forest Biodiversity Monitoring Network (CForBio). Since 2011, the CForBio Network launched an initiative to investigate wildlife diversity using camera traps among forest dynamic plots in China. Because of this initiative, there is an urgent need to develop standardized camera trapping protocols. One important premise of camera-trapping protocols is that camera trap data can be used to conduct comparative research among different plots. Here, we propose camera-trapping protocols based on our own experience in using camera traps for wildlife surveys, and on the terrestrial vertebrate (camera trap) protocol implementation manual produced by the TEAM (Tropical Ecology Assessment & Monitoring) Network. We hope that these protocols can serve as the basis for a standardized tool used in wildlife diversity monitoring in forest ecosystems. We also provide recommendations for plot design, data management and long-term monitoring programs for wildlife diversity monitoring.

Key words: camera-trapping, Chinese Forest Biodiversity Monitoring Network, wildlife monitoring, monitoring protocols