中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data

文献类型:期刊论文

作者Wang, Shanshan3; Jia, Lizhi4; Cai, Liping3; Wang, Yijia2; Zhan, Tianyu2; Huang, Anqi1; Fan, Donglin3
刊名REMOTE SENSING
出版日期2022-12-01
卷号14期号:23页码:16
关键词grassland degradation grassland area grassland quality multi-source data Tibetan Plateau
DOI10.3390/rs14236011
通讯作者Jia, Lizhi(jializhi@igsnrr.ac.cn)
英文摘要Grassland is one of the most widely distributed ecosystems on the Tibetan Plateau (TP) accounting for about 60% of the total area. The grassland degradation has spread throughout the TP, and the scope and degree are increasing. The inconsistency of multi-source data poses a great challenge to accurately obtaining information about grassland degradation on the TP. This study used five land cover products and six vegetation indexes to analyze the spatial-temporal change in grassland area and quality at the pixel level across the TP from 2000 to 2020. Then, 279 observed grassland degradation points that were collected from 86 published papers were used to verify the grassland degradation information. The grassland fusion product demonstrated that the grassland area increased by 8.84% from 2000 to 2020, and the rate of grassland degradation exceeded the rate of grassland greening during 2010-2020. The superimposed six vegetation indexes showed that 25.88% of the grassland quality has been degraded on the TP from 2000 to 2020. In Changdu City, Ganzi Tibetan Autonomous Prefecture, Gannan Tibetan Autonomous Prefecture, Yushu Tibetan Autonomous Prefecture, Aba Tibetan and Qiang Autonomous Prefecture, Rikaze City, Shannan City and Nagqu City, the grassland quality degraded by more than in 20% and the degraded grassland area exceeded 2000 km(2). The observed grassland degradation points were mainly distributed in the northeastern and central parts of the TP. The consistency of six vegetation indexes with the observed grassland degradation points on the TP was 56.63%, with solar-induced chlorophyll fluorescence (SIF) being more effective than other vegetation indexes for monitoring grassland degradation on the TP. In general, the degradation of grassland on the TP has been a looming problem in recent decades.
WOS关键词LAND-COVER CHANGES ; CLIMATE-CHANGE ; SYSTEM ; PLANT ; TIME ; CONSISTENCY ; VEGETATION ; IMPACTS ; MEADOWS ; ECOLOGY
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000896343700001
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/187840]  
专题中国科学院地理科学与资源研究所
通讯作者Jia, Lizhi
作者单位1.Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210044, Peoples R China
2.Beijing Normal Univ, Inst Land Surface Syst & Sustainable Dev, Fac Geog Sci, Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
3.Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276800, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Wang, Shanshan,Jia, Lizhi,Cai, Liping,et al. Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data[J]. REMOTE SENSING,2022,14(23):16.
APA Wang, Shanshan.,Jia, Lizhi.,Cai, Liping.,Wang, Yijia.,Zhan, Tianyu.,...&Fan, Donglin.(2022).Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data.REMOTE SENSING,14(23),16.
MLA Wang, Shanshan,et al."Assessment of Grassland Degradation on the Tibetan Plateau Based on Multi-Source Data".REMOTE SENSING 14.23(2022):16.

入库方式: OAI收割

来源:地理科学与资源研究所

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