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Spatiotemporal Evolution of Arid Ecosystems Using Thematic Land Cover Products

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成果类型:
期刊论文
作者:
Xu, Lili;Chen, Tianyu;Li, Baolin;Yuan, Yecheng;Tsendbazar, Nandin-Erdene
通讯作者:
Xu, LL
作者机构:
[Xu, Lili; Xu, LL; Chen, Tianyu] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
[Xu, Lili; Xu, LL] Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
[Yuan, Yecheng; Li, Baolin] Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China.
[Tsendbazar, Nandin-Erdene] Wageningen Univ & Res, Lab Geo Informat Sci & Remote Sensing, Droevendaalsesteeg 3, NL-6708 PB Wageningen, Netherlands.
通讯机构:
[Xu, LL ] C
Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
Cent China Normal Univ, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
global dryland;land cover change;CCILC;remote sensing;multi-indices classifiers;sustainable global ecosystems
期刊:
Remote Sensing
ISSN:
2072-4292
年:
2023
卷:
15
期:
12
页码:
3178-
基金类别:
Conceptualization, L.X., B.L. and N.-E.T.; data curation, L.X. and T.C.; formal analysis, L.X., B.L. and N.-E.T.; funding acquisition, L.X.; investigation, L.X., B.L. and N.-E.T.; methodology, L.X., T.C., B.L., Y.Y. and N.-E.T.; project administration: L.X.; software, Y.Y., L.X. and T.C.; validation, L.X. and T.C.; visualization, L.X. and T.C.; writing original draft preparation, L.X.; writing review and editing, L.X., B.L. and N.-E.T. All authors have read and agreed to the published version of the manuscript. This study was funded by the National Natural Science Foundation of China (grant no. 41701474), the National Key Research and Development Plan of China (grant no. 2016YFC0500205), and the National Basic Research Program of China (grant no. 2015CB954103).
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
The pathway, direction, and potential drivers of the evolution in global arid ecosystems are of importance for maintaining the stability and sustainability of the global ecosystem. Based on the Climate Change Initiative Land Cover dataset (CCILC), in this study, four indicators of land cover change (LCC) were calculated, i.e., regional change intensity (RCI), rate of change in land cover (CR), evolutionary direction index (EDI), and artificial change percentage (ACP), to progressively derive the intensity, rate, evolutionary direction, and anth...

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