摘要
为了更好地摸清纳板河流域国家级自然保护区的兽类资源状况,2022年在纳板河保护区按照公里网格法布设40台红外相机进行监测,采用物种相对多度指数(RAI)进行物种多样性分析,研究旗舰物种印度野牛的活动规律。结果显示:(1)纳板河保护区通过红外相机共记录到大中型兽类4目9科17种,其中国家一级重点保护野生动物2种(印度野牛和豚尾猴)和二级重点保护野生动物8种,6种兽类评为易危(VU),3种评为近危(NT)。(2)物种多样性分析表明,赤麂的RAI最高,其次为水鹿和野猪。(3)40个监测网格中核心区和缓冲区分别监测到16和17种兽类,其中旗舰物种印度野牛多数活动在区内西北部且向北迁移。结果表明:纳板河保护区内濒危兽类物种种类丰富、种群数量可观且分布面积大,证实保护区多年来针对珍稀濒危物种及旗舰物种的保护工作已经取得了卓越成果。
In order to better understand the status of animal resources in the National Nature Reserve of the Naban River Basin,the diversity of wild animals and the activity patterns of the flagship species,Indian bison,were investigated.In this study,40 infrared cameras for monitoring in 2022 were deployedaccording to the kilometer grid method.A total of 17 species of large and medium-sized mammals,belonging to 9 families and 4 orders,were recorded.Among them,there were 2 species(Indian bison and macaque)and 8 species under national level I and II key protection.6 species of mammals were rated as vulnerable(VU),and 3 species were rated as near threatened(NT).Using RAI for species diversity analysis,it was found that red muntjac had the highest RAI,followed by water deer and wild boar.Among the 40 monitoring grids,16 and 17 species of mammals were detected in the core and buffer zones,respectively.The flagship species,the Indian bison,were mostly active in the northwest of the area and migrate northward.This indicates that the protected area has a rich variety of endangered animal species,a considerable population size,and a large distribution area,confirming that the protection of rare and endangered species and flagship species has achieved outstanding results over the years.
作者
陈典
李云
曹光宏
刘智杰
余涛
CHEN Dian;LI Yun;CAO Guanghong;LIU Zhijie;YU Tao(Naban River Basin national Nature Reserve Administration,Jinghong Yunnan 666100,P.R.China;Xishuangbanna Prefecture Bureau of Agriculture and Rural Affairs,Jinghong Yunnan 666100,P.R.China;Yunnan Academy of Forest Inventory and Planning,Kunming Yunnan 650051,P.R.China)
出处
《西部林业科学》
CAS
北大核心
2024年第3期62-67,共6页
Journal of West China Forestry Science
基金
“十三五”国家重点研发计划项目课题(2020YFC1511605)。
