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Profiling Human-Induced Vegetation Change in the Horqin Sandy Land of China Using Time Series Datasets

文献类型：期刊论文

作者Xu, Lili1,2; Tu, Zhenfa1,2; Zhou, Yuke3; Yu, Guangming1,2
刊名SUSTAINABILITY
出版日期2018-04-01
卷号10期号:4页码:18
关键词Horqin Sandy Land human-induced vegetation change RESTREND
ISSN号2071-1050
DOI10.3390/su10041068
通讯作者Tu, Zhenfa(tuzhenfa@hotmail.com)
英文摘要Discriminating 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.
WOS关键词RAIN-USE-EFFICIENCY ; TREND ANALYSIS ; SOUTH-AFRICA ; AVHRR NDVI ; SHELTER FORESTS ; CLIMATE-CHANGE ; COVER CHANGE ; DEGRADATION ; DYNAMICS ; SAHEL
资助项目State 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]
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000435188000172
出版者MDPI
资助机构State 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)
源URL[http://ir.igsnrr.ac.cn/handle/311030/54609]  
专题中国科学院地理科学与资源研究所
通讯作者Tu, Zhenfa
作者单位1.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
推荐引用方式
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.

入库方式： OAI收割

来源：地理科学与资源研究所

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