生物多样性 ›› 2014, Vol. 22 ›› Issue (6): 685-695.DOI: 10.3724/SP.J.1003.2014.14203

所属专题: 野生动物的红外相机监测

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红外相机技术在我国野生动物研究与保护中的应用与前景

李晟1,,A;*(), 王大军1, 肖治术2, 李欣海2, 王天明3, 冯利民3, 王云4   

  1. 1 .北京大学生命科学学院, 北京 100871
    2 .中国科学院动物研究所, 北京 100101
    3 .北京师范大学生命科学学院, 北京 100875
    4 .中国交通运输部科学研究院, 北京 100029
  • 收稿日期:2013-09-25 接受日期:2014-11-13 出版日期:2014-11-20 发布日期:2014-12-11
  • 通讯作者: 李晟
  • 基金资助:
    国家自然科学基金(31270567, 31200410)

Camera-trapping in wildlife research and conservation in China: review and outlook

Sheng Li1,*(), Dajun Wang1, Zhishu Xiao2, Xinhai Li2, Tianming Wang3, Limin Feng3, Yun Wang4   

  1. 1. School of Life Sciences, Peking University, Beijing 100871
    2. Institute of Zoology, Chinese Academy of Sciences, Beijing 100101
    3. School of Life Sciences, Beijing Normal University, Beijing 100875
    4. China Academy of Transportation Sciences, Beijing 100029
  • Received:2013-09-25 Accepted:2014-11-13 Online:2014-11-20 Published:2014-12-11
  • Contact: Li Sheng

摘要:

20年来, 红外相机技术在国内外野生动物研究、监测与保护中得到了广泛应用。基于红外相机技术, 我国在野生动物生态学研究、动物行为学研究、稀有物种的探测与记录、动物本底资源调查、生物多样性监测及保护地管理与保护评价等领域取得了众多成果。目前, 数学模型、统计分析方法和新的概念正在促进红外相机技术在野生动物监测研究与保护管理中的发展和推广应用。同时, 随着红外相机技术的成熟、成本降低和应用普及, 这一技术也将会被更多的野生动物研究人员、管理人员和自然保护区管理者所采用, 并成为全国各级保护地和区域生物多样性监测研究的关键技术和方法。今后, 建立并完善系统化的监测网络和数据共享平台、开发新一代的数据分析方法与模型, 将是此项技术进一步发展和应用的主要方向。

关键词: 红外相机, 野生动物保护, 监测指标, 种群参数, 生态学模型

Abstract:

During the last two decades, infrared-triggered camera-trapping has been widely used in wildlife and biodiversity research and conservation. In the areas of wildlife ecology research, animal species inventory, biodiversity monitoring and protected area management in China, considerable outputs have been produced by scientific research and conservation applications based on camera-trapping. This technique has been successfully used to detect rare or elusive species, conduct biodiversity inventory, study animal behavior, estimate population parameters, and evaluate the effectiveness of protected area management. Along with the rapid development of modern ecological analysis and modeling tools, camera-trapping will play a more important role in wildlife research at various levels. Meanwhile, along with improvements in techniques, decreasing cost and increasing application interests, camera-trapping will be adopted by more researchers, wildlife managers and protected areas, and can be used for systematic wildlife monitoring using standard protocols. Efforts devoted to its future development and applications should focus on establishing systematically-designed monitoring networks and data-sharing protocols, and developing new analytical approaches and statistical models specifically based on camera-trapping data.

Key words: camera-trapping, wildlife ecology, monitoring index, population parameter, ecological modeling