干旱区生态环境知识资源中心(Arid): Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model

Arid

DOI	10.1016/j.jhydrol.2020.124687
	Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model
	Huang, Shengzhi 1; Zheng, Xudong 1; Ma, Lan 1; Wang, Hao 2; Huang, Qiang 1; Leng, Guoyong 3,4; Meng, Erhao 1; Guo, Yi 1
通讯作者	Huang, Shengzhi
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2020
卷号	584
英文摘要	Vegetation cover is a frequently used indicator for assessing terrestrial ecosystem conditions. It is important to investigate the spatial and temporal change patterns of vegetation cover, and quantify the effects of climate change and human activities on vegetation cover dynamics. In this study, the cross wavelet analysis was first applied to reveal the detailed associations between the Normalized Difference Vegetation Index (NDVI) and precipitation/air temperature, as well as their evolution characteristics. Then, a Support Vector Machine (SVM)based simulation model was introduced to quantify the effects of climate change and human activities on vegetation cover dynamics. Results indicated that: (1) the proposed GA-SVM model is reliable in reproducing the observed NDVI series; (2) the increasing trend of annual NDVI was primarily contributed by the increase in spring and autumn, during which precipitation and air temperature changes lead to the lengthening of vegetation growing season; (3) for the Wei River Basin as a whole, climate change effects (about 59.3%) on NDVI are stronger than those by human activities (nearly 40.7%), whereas human activities including the large-scale Grain for Green Program are exerting the dominant influences in the Beiluo River Basin. The findings of this study are helpful for guiding the ecological restoration practices in the Loess Plateau under the backdrop of changing environment.
英文关键词	Vegetation cover NDVI Quantitative analysis The cross wavelet analysis GA-SVM
类型	Article
语种	英语
国家	Peoples R China ; England
收录类别	SCI-E
WOS记录号	WOS:000527390200074
WOS关键词	LOESS PLATEAU ; CHINA ; SOIL ; TEMPERATURE ; IMPACTS ; NDVI ; DESERTIFICATION ; PRECIPITATION ; RESPONSES ; RUNOFF
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
来源机构	中国科学院地理科学与资源研究所 ; University of Oxford
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315002
作者单位	1.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China; 2.China Inst Hydropower & Water Resources, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; 4.Univ Oxford, Environm Change Inst, Oxford OX1 3QY, England
推荐引用方式 GB/T 7714	Huang, Shengzhi,Zheng, Xudong,Ma, Lan,et al. Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model[J]. 中国科学院地理科学与资源研究所, University of Oxford,2020,584.
APA	Huang, Shengzhi.,Zheng, Xudong.,Ma, Lan.,Wang, Hao.,Huang, Qiang.,...&Guo, Yi.(2020).Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model.JOURNAL OF HYDROLOGY,584.
MLA	Huang, Shengzhi,et al."Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model".JOURNAL OF HYDROLOGY 584(2020).