生物多样性 ›› 2019, Vol. 27 ›› Issue (3): 237-242.doi: 10.17520/biods.2019008

• 野生动物红外相机数据分析专题 • 上一篇    下一篇

基于红外相机技术对广东车八岭国家级自然保护区大中型兽类与雉类的编目清查与评估

肖治术1, 3, *(), 陈立军1, 宋相金2, 束祖飞2, 肖荣高2, 黄小群1   

  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 中国科学院大学, 北京 100049
  • 收稿日期:2019-01-11 接受日期:2019-03-19 出版日期:2019-03-20
  • 通讯作者: 肖治术 E-mail:xiaozs@ioz.ac.cn
  • 基金项目:
    国家重点研发计划(2017YFC0503802);国家重点研发计划(2016YFC0500105);中央林业改革发展资金;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

Species inventory and assessment of large- and medium-size mammals and pheasants using camera trapping in the Chebaling National Nature Reserve, Guangdong Province

Xiao Zhishu1, 3, *(), Chen Lijun1, Song Xiangjin2, Shu Zufei2, Xiao Ronggao2, Huang Xiaoqun1   

  1. 1 State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101
    2 Guangdong Chebaling National Nature Reserve Administration Bureau, Shaoguan, Guangdong 512500
    3 University of Chinese Academy of Sciences, Beijing 100049
  • Received:2019-01-11 Accepted:2019-03-19 Online:2019-03-20
  • Contact: Xiao Zhishu E-mail:xiaozs@ioz.ac.cn

近年来, 红外相机技术已被广泛应用于国内外自然保护地内地栖鸟兽的物种编目和动态评估。本文以广东车八岭国家级自然保护区为例, 探讨基于红外相机技术如何进行保护区全境大中型兽类和雉鸡类的物种编目清查与评估。通过对车八岭保护区全境为期1年的调查, 共记录兽类和雉鸡类18种, 其中兽类15种, 鸡形目鸟类3种。基于物种累计曲线, 采用全年数据所需的最小调查网格数、最少调查相机日均要少于雨季或旱季, 而旱季调查需要的最小调查网格数和最少调查相机日比雨季更少。通过红外相机图像数据获得了车八岭保护区的大中型兽类和地栖雉鸡类物种名录、物种丰富度、每个物种的相对多度、分布图和凭证标本等重要内容。

关键词: 自然保护区, 红外相机技术, 物种编目评估, 大中型兽类与雉类

Infrared-camera technology (i.e. camera trapping) has been widely used recently for species inventories and related assessment of terrestrial vertebrates in protected areas across the world. In this study, we provide a case study for how to assess species inventory data of terrestrial birds and mammals based on camera trapping in the Chebaling National Nature Reserve, Guangdong Province. Using camera trapping data from 2017 across the whole area with 80 grids (grid size, 1 km 2) in the reserve, we recorded 15 medium and large mammal species and three pheasant species. Based on species accumulation curves as a function of grids and camera days when 90% of expected species richness was recorded in the reserve, the minimum grids with fixed camera days and the minimum camera days with fixed grids were less during the wet season (June-August) than during the dry season (October-December). Moreover, the minimum grids with fixed camera days and the minimum camera days with fixed grids during the dry season were less than during the wet season. Based the camera trapping data, the species inventory assessment in the reserve can cover species lists and species richness of terrestrial birds and mammals, as well as relative abundance, distribution and voucher images of each species. Therefore, the Chebaling case based on the whole-area species inventory and assessment can provide technical references for China’s natural protected areas.

Key words: nature reserve, species inventory assessment, camera trapping, large- and medium-size mammals and pheasants

图1

基于红外相机技术对广东车八岭国家级自然保护区地栖鸟兽快速编目评估的流程图"

图2

稀疏曲线分析物种与抽样强度之间的关系(2017)。A, 基于调查网格数的物种丰富度累计曲线; B, 基于相机日的物种丰富度累计曲线。虚线为车八岭国家级自然保护区所记录的期望物种数达90% (N = 18)的参考线。"

表1

广东车八岭国家级自然保护区全境红外相机清查编目结果汇总与稀疏曲线抽样评估(2017年)"

抽样季节
Sampling season
全年
Whole year
雨季
Wet season
旱季
Dry season
网格数 Grids 80 80 (61*) 80 (71*)
总相机日
Total camera day
25,876 5,612 6,532
物种数
Species richness
18 15 16
稀疏曲线分析 Rarefaction curve analysis#
最小调查网格数
Minimum grids
35 91 77
最少调查相机日Minimum camera days 7,200
(≥ 90 d/grid)
8,845
(≥ 110 d/grid)
7,313
(≥ 92 d/grid)
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