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Profiling Human-Induced Vegetation Change in the Horqin Sandy Land of China Using Time Series Datasets
Xu, Lili1,2; Tu, Zhenfa1,2; Zhou, Yuke3; Yu, Guangming1,2
2018-04-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume10Issue:4Pages:18
Corresponding AuthorTu, Zhenfa(tuzhenfa@hotmail.com)
AbstractDiscriminating the significant human-induced vegetation changes over the past 15 years could help local governments review the effects of eco-programs and develop sustainable land use policies in arid/semi-arid ecosystems. We used the residual trends method (RESTREND) to estimate the human-induced and climate-induced vegetation changes. Two typical regions in the Horqin Sandy Land of China were selected as study areas. We first detected vegetation dynamics between 2000-2014 using Sen's slope estimation and the Mann-Kendall test detection method (SMK) based on the Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series, then used RESTREND to profile human modifications in areas of significant vegetation change. RESTREND was optimized using statistical and trajectory analysis to automatically identify flexible spatially homogeneous neighborhoods, which were essential for determining the reference areas. The results indicated the following. (1) Obvious vegetation increases happened in both regions, but Naiman (64.1%) increased more than Ar Horqin (16.8%). (2) Climate and human drivers both contributed to significant changes. The two factors contributed equally to vegetation change in Ar Horqin, while human drivers contributed more in Naiman. (3) Human factors had a stronger influence on ecosystems, and were more responsible for vegetation decreases in both regions. Further evidences showed that the primary human drivers varied in regions. Grassland eco-management was the key driver in Ar Horqin, while farming was the key factor for vegetation change in Naiman.
KeywordHorqin Sandy Land human-induced vegetation change RESTREND
DOI10.3390/su10041068
WOS KeywordRAIN-USE-EFFICIENCY ; TREND ANALYSIS ; SOUTH-AFRICA ; AVHRR NDVI ; SHELTER FORESTS ; CLIMATE-CHANGE ; COVER CHANGE ; DEGRADATION ; DYNAMICS ; SAHEL
Indexed BySCI
Language英语
Funding ProjectState Key Laboratory of Resources and Environmental Information System ; National Natural Science Foundation of China[41701474] ; National Natural Science Foundation of China[41701467] ; National Key Research and Development Plan of China[2016YFC0500205] ; National Basic Research Program of China[2015CB954103] ; Key Laboratory for National Geograophy State Monitoring (National Administration of Surveying, Mapping and Geoinformation)[2017NGCM09]
Funding OrganizationState Key Laboratory of Resources and Environmental Information System ; National Natural Science Foundation of China ; National Key Research and Development Plan of China ; National Basic Research Program of China ; Key Laboratory for National Geograophy State Monitoring (National Administration of Surveying, Mapping and Geoinformation)
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Environmental Sciences ; Environmental Studies
WOS IDWOS:000435188000172
PublisherMDPI
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Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54610
Collection中国科学院地理科学与资源研究所
Corresponding AuthorTu, Zhenfa
Affiliation1.Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan 430079, Hubei, Peoples R China
2.Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Xu, Lili,Tu, Zhenfa,Zhou, Yuke,et al. Profiling Human-Induced Vegetation Change in the Horqin Sandy Land of China Using Time Series Datasets[J]. SUSTAINABILITY,2018,10(4):18.
APA Xu, Lili,Tu, Zhenfa,Zhou, Yuke,&Yu, Guangming.(2018).Profiling Human-Induced Vegetation Change in the Horqin Sandy Land of China Using Time Series Datasets.SUSTAINABILITY,10(4),18.
MLA Xu, Lili,et al."Profiling Human-Induced Vegetation Change in the Horqin Sandy Land of China Using Time Series Datasets".SUSTAINABILITY 10.4(2018):18.
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