安徽清凉峰国家级自然保护区鸟兽生物多样性调查
Investigation on the Biodiversity of Mammals and Birds in the Qingliangfeng National Nature Reserve,Anhui Province
李必成 1王军馥 1方国富 2何娅 1王正寰 3丁由中 3杨刚1
作者信息
- 1. 上海自然博物馆(上海科技馆分馆)自然史研究中心,上海200127
- 2. 安徽清凉峰国家级自然保护区管理局,安徽绩溪245300
- 3. 华东师范大学生命科学学院,上海200062
- 折叠
摘要
[目的]了解安徽清凉峰国家级自然保护区鸟兽生物多样性状况.[方法]2015年12月至2016年3月,利用红外相机技术对安徽清凉峰国家级自然保护区进行鸟兽生物多样性调查.[结果]鉴定出鸟兽6目11科15种(兽类9种,鸟类6种),其中白颈长尾雉(Syrmaticus ellioti)、黑麂(Muntiacus crinifrons)为国家I级重点保护动物,白鹇(Lophura nythemera)、勺鸡(Pucrasia macrolopha)、鬣羚(Capricornis milneedwardsii)为国家Ⅱ级重点保护动物.相对丰富度指数较高的兽类依次为北社鼠(Niviventer confucianus)、华南兔(Lepus sinensis)、小麂(Muntiacus reevesi)等;相对丰富度指数较高的鸟类依次为白鹇(L.nythemera)、大山雀(Parus major)、勺鸡(P.macrolopha)等.核心区红外相机所拍摄的物种数显著多于缓冲区.[结论]研究可为进一步开展长期监测工作和野生动物资源保护提供科学依据.
Abstract
[Objective]To study the biodiversity of mammals and birds in the Qingliangfeng National Nature Reserve,Anhui Province.[Method] From December of 2015 to March of 2016 ,the biodiversity of mammals and birds in the Qingliangfeng National Nature Reserve were investigated by using camera infrared technology.[Result]15 species,11 families,6 orders(including 9 mammal species and 6 bird species) were identified. Among them,Syrmaticus ellioti and Muntiacus crinifrons were ClassⅠstate key protected wild animals,and Lophura nythemera,Pucrasia macrolopha and Capricornis milneedwardsii were ClassⅡstate key protected wild animals.Based on the relative abundance index,Niviventer confucianus, Lepus sinensis and Muntiacus reevesi were ranked as the 3 most abundant mammal species ,while L.nythemera,Parus major and P.macrolopha were ranked as the three most abundant bird species.The number of recorded species by camera traps in core area was significantly more than that in buffer area.[Conclusion]The study could provide scientific basis for long-term monitoring and conservation of wild animals further.
关键词
红外相机技术/鸟类/兽类/生物多样性/清凉峰国家级自然保护区Key words
Camera infrared technology/Birds/Mammals/Biodiversity/Qingliangfeng National Nature Reserve引用本文复制引用
基金项目
科技部基础性工作专项(2015FY110200)
出版年
2017
国家科技期刊平台
NSTL
维普
万方数据