Establish IUCN Red List of Ecosystems in Southwestern China Based on Remote Sensing Data

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	Establish IUCN Red List of Ecosystems in Southwestern China Based on Remote Sensing Data
	Tan Jianbo1,2 ; Li Ainong1 ; Lei Guangbin1,2
	2016
会议名称	IEEE International Geoscience and Remote Sensing Symposium
会议日期	July 10-15
会议地点	Beijing, China
关键词	Southwestern China IUCN Red list of ecosystem biodiversity remote sensing
页码	1307-1310
通讯作者	Li Ainong
英文摘要	The world’s ecosystems and biodiversity have suffered a great loss as the result of human activities, which considerably attract urgent for the assessment of the biodiversity at ecosystem-level. Thus, the IUCN Council recently adopted a new Red List criteria as a global standard for ecosystem risk assessment, aims to establish a global Red List of ecosystem. Remote sensing is one of the most powerful technology for earth observation at macro-scale, which have great potential to impetus the establishment of a global Red List of ecosystem. Here we operated a systematic assessment of ecosystems with this protocol in Southwestern China, to present the procedure of assessment for biodiversity at ecosystem level based on remote sensing data and test the applicability of IUCN Red List criteria in high heterogeneous region. The result show that the red lists of this area contain all the nationally protected types of Atlas of China's vegetation, which means the high robustness of the protocol. The prospects indicate that remote sensing may play a more important role in achieving the goal of global Red List of ecosystems.
收录类别	EI
会议主办者	GASS
会议录	IGRASS 2016 Proceeding
语种	英语
内容类型	会议论文
源URL	[http://ir.imde.ac.cn/handle/131551/17802]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
作者单位	1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences
推荐引用方式 GB/T 7714	Tan Jianbo,Li Ainong,Lei Guangbin. Establish IUCN Red List of Ecosystems in Southwestern China Based on Remote Sensing Data[C]. 见:IEEE International Geoscience and Remote Sensing Symposium. Beijing, China. July 10-15.