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云南哀牢山国家级自然保护区野生鸟兽的红外相机初步监测

和雪莲 罗康 鲁志云 肖治术 林露湘

兽类学报2018,Vol.38Issue(3):318-322,5.
兽类学报2018,Vol.38Issue(3):318-322,5.DOI:10.16829/j.slxb.150130

云南哀牢山国家级自然保护区野生鸟兽的红外相机初步监测

Preliminary camera-trapping survey on wild mammals and birds in Ailaoshan National Nature Reserve,Yunnan Province,China

和雪莲 1罗康 1鲁志云 2肖治术 1林露湘2

作者信息

  • 1. 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,西双版纳 666303
  • 2. 中国科学院大学,北京 100049
  • 折叠

摘要

Abstract

Camera-trapping has been considered as an important method for monitoring large and medium-size mammals and terrestrial birds,and with high applied value to biological inventory for protected areas. From October to December 2014,we set up 40 infrared camera monitoring sites (1 camera for each two hactera) in the northern part of Ailaoshan National Nature Reserve,Yunnan Province,to monitor wild mammals and birds in mid-mountain humid evergreen broadleaved forest. During the total 1 961 camera days,we identified 10 mammals species and 10 bird species from 566 independent images. According to the relative abundance index (RAI),Asian red-cheeked squirrel (Dremomys rufigenis) and wild boar (Sus scrofa) were ranked as two most abundant mammals,while silver pheasant (Lophura nycthemera) 、longtailed thrush (Zoothera dixoni) and spotted forktail (Enicurus maculatus) were ranked as the three most abundant bird species. Among the twenty wild mammal and bird species,four species were categorized as class Ⅱ state key protected wild animals,two species were listed by the IUCN global red list as Vulnerable,two and three species were classified as Appendix Ⅱ and Ⅲby CITES,respectively. Although several key territorial mammal and bird species were not recorded, this preliminary research still provides basic information of biodiversity for establishing camera-trapping routine survey and conservation management of the natural reserve.

关键词

红外相机/生物多样性/野生鸟兽/哀牢山国家级自然保护区

Key words

Ailaoshan National Nature Reserve/Biodiversity/Camera-trapping/Wild mammal and bird

分类

生物科学

引用本文复制引用

和雪莲,罗康,鲁志云,肖治术,林露湘..云南哀牢山国家级自然保护区野生鸟兽的红外相机初步监测[J].兽类学报,2018,38(3):318-322,5.

基金项目

国家自然科学基金项目(31500344) (31500344)

兽类学报

OA北大核心CSCDCSTPCD

1000-1050

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