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Multi-Temporal Remotely Sensed Data for Degradation Dynamics in Linxia Rangeland, Northwest China
Yu, Xinyang1; Lu, Changhe2; Zhao, Gengxing1
2017-03-01
Source PublicationAPPLIED SCIENCES-BASEL
ISSN2076-3417
Volume7Issue:3Pages:11
Corresponding AuthorYu, Xinyang(xyyu@yic.ac.cn)
AbstractThe importance of accurately monitoring rangeland degradation dynamics over decades is increasing in Linxia rangeland, the birthplace of the Yellow River in China. Since 2000, the Chinese government has implemented the Grain for Green program and enforced a grazing ban in Gansu province, one of the most degraded provinces, to mitigate the problem of rangeland degradation. The effects of these policies are controversial and have become a topic of public concern. In this study, a grading system was established for the estimation of Linxia rangeland degradation. Degrees of rangeland degradation were interpreted and the spatio-temporal dynamics of the degraded rangeland through several study periods were mapped and monitored using the Linear Spectral Mixture Analysis method on Landsat Thematic Mapper (TM)/ETM+ (Enhanced Thematic Mapper Plus) images for the years of 1996, 2001, 2006, and 2011. The results demonstrated that the time around the year 2001 appeared to be a turning point of the rangeland degradation reversion course, as the rangeland degradation reversed significantly since 2001. From 1996 to 2001, the total degraded area in Linxia rangeland increased from 2922.01 km(2) to 3048.48 km(2) (+4.33%), and decreased by 4.54% to 2909.97 km(2) in 2011; the non-degraded rangeland gradually increased from 602.74 km(2) to 710.01 km(2), an increase of 17.80%. Degraded rangeland vegetation was restored significantly during 2001-2011: the area of slightly degraded rangeland increased by 3.71% and 3.83% annually during 2001-2006 and 2006-2011 intervals, respectively, and the area of moderately and severely degraded rangeland decreased annually by 4.77% and 2.41% from 2001 to 2006, and 4.58% and 0.81% during 2006-2011, respectively. These results indicated that the Grain for Green program and grazing ban policy, together with other ecological impacting factors, helped reverse the rangeland degradation and promote the rehabilitation of rangeland vegetation.
Keywordrangeland degradation spectral mixture analysis "Grain for Green" program grazing ban policy Linxia rangeland
DOI10.3390/app7030241
WOS KeywordSPECTRAL MIXTURE ANALYSIS ; MONITORING DESERTIFICATION ; VEGETATION INDEX ; LAND DEGRADATION ; INDICATORS ; IMAGES ; IMPACT ; COST
Indexed BySCI
Language英语
Funding ProjectNational Basic Research Program of China[2012CB955304] ; Postdoctoral Research Foundation[010/76562] ; Youth Innovation Research Program of Shandong Agricultural University[010/24150]
Funding OrganizationNational Basic Research Program of China ; Postdoctoral Research Foundation ; Youth Innovation Research Program of Shandong Agricultural University
WOS Research AreaChemistry ; Materials Science ; Physics
WOS SubjectChemistry, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS IDWOS:000398718700032
PublisherMDPI AG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64628
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYu, Xinyang
Affiliation1.Shandong Agr Univ, Coll Resources & Environm, Tai An 271018, Shandong, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Yu, Xinyang,Lu, Changhe,Zhao, Gengxing. Multi-Temporal Remotely Sensed Data for Degradation Dynamics in Linxia Rangeland, Northwest China[J]. APPLIED SCIENCES-BASEL,2017,7(3):11.
APA Yu, Xinyang,Lu, Changhe,&Zhao, Gengxing.(2017).Multi-Temporal Remotely Sensed Data for Degradation Dynamics in Linxia Rangeland, Northwest China.APPLIED SCIENCES-BASEL,7(3),11.
MLA Yu, Xinyang,et al."Multi-Temporal Remotely Sensed Data for Degradation Dynamics in Linxia Rangeland, Northwest China".APPLIED SCIENCES-BASEL 7.3(2017):11.
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