Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/su10041068 |
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 | |
通讯作者 | Tu, Zhenfa |
来源期刊 | SUSTAINABILITY
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ISSN | 2071-1050 |
出版年 | 2018 |
卷号 | 10期号:4 |
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. |
英文关键词 | Horqin Sandy Land human-induced vegetation change RESTREND |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000435188000172 |
WOS关键词 | RAIN-USE-EFFICIENCY ; TREND ANALYSIS ; AVHRR NDVI ; SHELTER FORESTS ; COVER CHANGE ; DEGRADATION ; DYNAMICS ; CLIMATE ; AFRICA ; IMPACTS |
WOS类目 | Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
来源机构 | 中国科学院地理科学与资源研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/213338 |
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]. 中国科学院地理科学与资源研究所,2018,10(4). |
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). |
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). |
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