IMHE OpenIR  > 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
Language英语
Tan Jianbo1,2; Li Ainong1; Lei Guangbin1,2
Corresponding AuthorLi Ainong
2016
Source PublicationIEEE International Geoscience and Remote Sensing Symposium ; IGRASS 2016 Proceeding
Pages1307-1310
Conference DateJuly 10-15
Conference PlaceBeijing, China
Funding OrganizationGASS
Abstract

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.

KeywordSouthwestern China Iucn Red List Of Ecosystem Biodiversity Remote Sensing
Indexed ByEI
Accession numberAccession number: 20170103212798
Document Type会议论文
Identifierhttp://ir.imde.ac.cn/handle/131551/17802
Collection数字山地与遥感应用中心
Affiliation1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
GB/T 7714
Tan Jianbo,Li Ainong,Lei Guangbin. Establish IUCN Red List of Ecosystems in Southwestern China Based on Remote Sensing Data[C],2016:1307-1310.
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