生物多样性 ›› 2019, Vol. 27 ›› Issue (3): 257-265.DOI: 10.17520/biods.2018194

• 野生动物红外相机数据分析专题 • 上一篇    下一篇

基于标记-重捕模型开展野生动物红外相机种群监测的方法及案例

肖文宏1,胡力2,黄小群1,肖治术1,3,*()   

  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 四川龙溪—虹口国家级自然保护区管理局, 四川都江堰 611830
    3 中国科学院大学, 北京 100049
  • 收稿日期:2018-07-16 接受日期:2018-10-12 出版日期:2019-03-20 发布日期:2019-03-20
  • 通讯作者: 肖治术
  • 基金资助:
    国家重点研发项目(2016YFC0500105);国家自然科学基金(31700469);中国科学院生物多样性监测与研究网络兽类多样性监测网运行经费;2017年中央林业改革发展资金

Using capture-recapture models in wildlife camera-trapping monitoring and the study case

Xiao Wenhong1,Hu Li2,Huang Xiaoqun1,Xiao Zhishu1,3,*()   

  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 Management Bureau of Longxi-Hongkou National Nature Reserve, Dujiangyan, Sichuan 611830
    3 University of Chinese Academy of Sciences, Beijing 100049
  • Received:2018-07-16 Accepted:2018-10-12 Online:2019-03-20 Published:2019-03-20
  • Contact: Xiao Zhishu

摘要:

红外相机技术的广泛应用推动了动物种群生态学研究方法的发展和革新, 特别是基于标记-重捕模型框架通过非损伤取样方式对物种数量和密度等种群参数的可靠估计, 为保护濒危物种和评估保护成效提供了有力的科学依据。对于身体上具有独特天然标记的动物(如多数猫科动物), 可依据红外相机拍摄身体上的独特斑点或条纹鉴别个体, 再运用标记-重捕模型, 估计动物种群数量、密度等参数。本文概述了标记-重捕模型的基本原理、特点以及国内外的应用, 特别是近年来发展出的空间标记-重捕模型。总结了从相机布设到数据分析的具体流程、操作原则, 并以青城山家猫为实例, 展示了应用红外相机数据通过空间标记-重捕模型估计种群密度和数量的基本步骤。最后展望了该模型在种群动态、景观廊道设计、资源选择等方面的应用和发展趋势。

关键词: 红外相机, 标记-重捕, 数据分析, 密度估计

Abstract:

The widespread use of camera trap promoted the development and innovation in wildlife population ecology research. Capture-recapture as a non-invasive sampling method can reliably estimate population parameters such as abundance and density, providing crucial information on endangered species protection and the effectiveness of conservation management. For animals with unique natural markings, such as felids, spots or stripes on the body recorded by camera traps can be used to identify individuals, and in turn to estimate population parameters based on capture-recapture models. In this review paper, we discuss the basic principle and application of capture-recapture research worldwide, with a focus on spatial capture-recapture models. We then summarize the operational procedures and considerations from camera deploy to data analyses. Using stray cat in Qingchengshan as an example we demonstrate the basic steps for using camera trap data to estimate population density and abundance through spatial capture-recapture models. Finally, we discuss the future development of capture-recapture models in studying population dynamics, landscape corridor design and resource selection.

Key words: camera trap, capture-recapture, data analysis, density estimation