生物多样性 ›› 2019, Vol. 27 ›› Issue (3): 249-256.doi: 10.17520/biods.2018195

• 野生动物红外相机数据分析专题 • 上一篇    下一篇

占域模型的原理及在野生动物红外相机研究中的应用案例

肖文宏1, 束祖飞2, 陈立军1, 姚武韬3, 马勇3, 张应明2, 肖治术1, 4, *()   

  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 广东车八岭国家级自然保护区管理局, 广东韶关 512500
    3 中国科学院遥感与数字地球研究所, 北京 100094
    4 中国科学院大学, 北京 100049
  • 收稿日期:2018-07-16 接受日期:2018-12-19 出版日期:2019-03-20
  • 通讯作者: 肖治术 E-mail:xiaozs@ioz.ac.cn
  • 基金项目:
    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 occupancy models in wildlife camera-trapping monitoring and the study case

Xiao Wenhong1, Shu Zufei2, Chen Lijun1, Yao Wutao3, Ma Yong3, Zhang Yingming2, Xiao Zhishu1, 4, *()   

  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 Guangdong Chebaling National Nature Reserve Administration Bureau, Shaoguan, Guangdong 512500
    3 Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094
    4 University of Chinese Academy of Sciences, Beijing 100049
  • Received:2018-07-16 Accepted:2018-12-19 Online:2019-03-20
  • Contact: Xiao Zhishu E-mail:xiaozs@ioz.ac.cn

占域模型解决了探测率常常被忽略的问题, 所需数据要求简单, 具有数据来源广泛、经济高效等优点, 越来越多地应用在野生动物监测和研究中。本文综述了占域模型的概念、基本原理及其近年来在国内外的应用进展, 并以红外相机数据为基础, 总结了占域模型所要求的数据采集、处理和分析等流程和基本原则, 同时以广东车八岭国家级自然保护区的花面狸(Paguma larvata)作为研究案例, 展示了占域模型的数据分析过程。最后根据近年来的发展和应用, 总结了占域模型的应用范围和发展趋势以及研究中存在的主要问题。

关键词: 红外相机, 野生动物, 数据分析, 占域模型, 探测率, 花面狸

Occupancy models have the advantage of accounting for imperfect detection, they have simple and flexible data requirements as we all high economic efficiency. For these reasons, occupancy models have been increasingly applied in wildlife research. In this paper, we introduced the basic principles and use of the occupancy models. Using camera trap data we outlined the operational procedures and considerations from field investigation to data analysis. Using the masked palm civet (Paguma larvata) in the Guangdong Chebaling National Nature Reserve as an example we demonstrate the basic steps of how estimate occupancy and detect probability. Finally, according to occupancy model research from recent years, we summarize use trends and main limitations in the research.

Key words: camera trap, wildlife, data analysis, occupancy models, detectability, masked palm civet

表1

广东车八岭国家级自然保护区花面狸占域模型的选择结果(ΔAIC ≤ 2的模型)"

模型
Model
K AIC ΔAIC AIC权重
AIC weight
Ψ p
p(海拔范围)ψ(海拔范围) p(elevation range)ψ(elevation range) 4 267.61 0 0.30 0.55 0.13
p(海拔范围, EVI)ψ (海拔范围) p(elevation range, EVI)ψ(elevation range) 5 268.99 1.38 0.15 0.55 0.12
p(海拔范围)ψ(海拔范围, EVI) p(elevation range)ψ(elevation range, EVI) 5 269.11 1.51 0.14 0.58 0.13
模型平均 Model average 0.56 0.13

表2

基于环境变量估计值和标准误评估变量对花面狸占域率和探测率的影响"

模型成分 Model component 协变量 Covariates 估计值 Estimate 标准误 SE P
占域 Occupancy 截距 Intercept 0.38 0.85 0.66
海拔范围 Elevation range -1.82 1.02 0.07
EVI 0.06 0.23 0.78
探测 Detection 截距 Intercept -2.45 0.26 < 0.001
海拔范围 Elevation range 1.29 0.30 < 0.001
EVI 0.04 0.12 0.75

图1

基于最优模型预测的环境变量(海拔范围、EVI)对花面狸占域率和探测率的影响。EVI: 增强型植被指数。"

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