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Quantitative discrimination of the influences of climate change and human activity on rocky desertification based on a novel feature space model

文献类型：期刊论文

作者Wen, Ye10; Guo, Bing2,3,4,5,6,7,9; Zang, Wenqian1,2; Lai, Jibao8; Li, Ran8
刊名OPEN GEOSCIENCES
出版日期2022-04-28
卷号14期号:1页码:367-381
ISSN号2391-5447
关键词Albedo-LST feature space rocky desertification spatial-temporal evolution driving mechanism geodetector
DOI10.1515/geo-2022-0365
通讯作者Guo, Bing(guobingjl@163.com) ; Zang, Wenqian(zangwq@radi.ac.cn)
英文摘要Under the stress of the global change, rocky desertification has become a serious environmental problem in the Karst Mountain area. At present, few remote sensing monitoring research works on rocky desertification based on feature space model have been conducted and reported. In this study, the Albedo-LST feature space remote sensing monitoring index based on point-point model has been proposed, and subsequently the spatio-temporal evolution pattern and driving mechanism of rocky desertification in Dafang district from 1986 to 2019 were analyzed. The results show that: (1) The point-point Albedo-LST feature space model of rocky desertification has good applicability with the overall accuracy of 90.79%; (2) From 1986 to 2019, the rocky desertification in Dafang district first showed an increasing trend (1986-2005) and then a decreasing trend (2005-2019); (3) The comprehensive evolution frequency of rocky desertification during 2001-2005 was the largest with 7.51% a(-1), which was related to the implementation of the Grain for Green Project; (4) The single factor with the largest contribution rates to rocky desertification are land use type, landform, and temperature. The interactive factors with the largest explanatory power are temperature boolean AND land use type and landform boolean AND land use type. The research results can provide decision support for the prevention and control of rocky desertification in Southwest China.
WOS关键词TEMPORAL EVOLUTION PROCESS ; KARST ; CHINA
资助项目National Natural Science Foundation of China[42101306] ; Natural Science Foundation of Shandong Province[ZR2021MD047] ; Open Research Fund of the Key Laboratory of Digital Earth Science, Chinese Academy of Sciences[2019LDE006] ; State Key Laboratory of Resources and Environmental Information System ; Open Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei Province[Z202001H] ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR[2020NGCM02] ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources[KF-2020-05-001] ; Open fund of Key Laboratory of Land use, Ministry of Natural Resources[20201511835] ; Undergraduate teaching research and reform project of Shandong University of Technology
WOS研究方向Geology
语种英语
出版者DE GRUYTER POLAND SP Z O O
WOS记录号WOS:000788851500001
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Shandong Province ; Open Research Fund of the Key Laboratory of Digital Earth Science, Chinese Academy of Sciences ; State Key Laboratory of Resources and Environmental Information System ; Open Fund of Key Laboratory of Meteorology and Ecological Environment of Hebei Province ; Open fund of Key Laboratory of National Geographic Census and Monitoring, MNR ; Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources ; Open fund of Key Laboratory of Land use, Ministry of Natural Resources ; Undergraduate teaching research and reform project of Shandong University of Technology
源URL[http://ir.igsnrr.ac.cn/handle/311030/175946]  
专题中国科学院地理科学与资源研究所
通讯作者Guo, Bing; Zang, Wenqian
作者单位1.Zhongke Langfang Inst Spatial Informat Applicat, Langfang 065001, Hebei, Peoples R China
2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
3.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo 255000, Shandong, Peoples R China
4.China Land Survey & Planning Inst, Key Lab Land Use, Minist Nat Resources, Beijing 100035, Peoples R China
5.Key Lab Meteorol & Ecol Environm Hebei Prov, Shijiazhuang 050021, Hebei, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
7.Minist Nat Resources, Key Lab Urban Land Resources Monitoring & Simulat, Shenzhen 518000, Peoples R China
8.China Natl Space Adm, Dept Achievement Transformat, Earth Observat Syst & Data Ctr, Beijing 100101, Peoples R China
9.Minist Nat Resources, Key Lab Natl Geog Census & Monitoring, Wuhan 430072, Peoples R China
10.Dalian Univ Technol, Sch Architectural Engn, City Inst, Dalian 116600, Liaoning, Peoples R China
推荐引用方式
GB/T 7714		 Wen, Ye,Guo, Bing,Zang, Wenqian,et al. Quantitative discrimination of the influences of climate change and human activity on rocky desertification based on a novel feature space model[J]. OPEN GEOSCIENCES,2022,14(1):367-381.
APA Wen, Ye,Guo, Bing,Zang, Wenqian,Lai, Jibao,&Li, Ran.(2022).Quantitative discrimination of the influences of climate change and human activity on rocky desertification based on a novel feature space model.OPEN GEOSCIENCES,14(1),367-381.
MLA Wen, Ye,et al."Quantitative discrimination of the influences of climate change and human activity on rocky desertification based on a novel feature space model".OPEN GEOSCIENCES 14.1(2022):367-381.

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来源：地理科学与资源研究所

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