Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model
文献类型：期刊论文
| 作者 | Huang, Shengzhi1; Zheng, Xudong1; Ma, Lan1; Wang, Hao2; Huang, Qiang1; Leng, Guoyong3,4; Meng, Erhao1; Guo, Yi1 |
| 刊名 | JOURNAL OF HYDROLOGY
 |
| 出版日期 | 2020-05-01 |
| 卷号 | 584页码:10 |
| 关键词 | Vegetation cover NDVI Quantitative analysis The cross wavelet analysis GA-SVM |
| ISSN号 | 0022-1694 |
| DOI | 10.1016/j.jhydrol.2020.124687 |
| 通讯作者 | Huang, Shengzhi(huangshengzhi7788@126.com) |
| 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. |
| WOS关键词 | LOESS PLATEAU ; CHINA ; SOIL ; TEMPERATURE ; IMPACTS ; NDVI ; DESERTIFICATION ; PRECIPITATION ; RESPONSES ; RUNOFF |
| 资助项目 | National Key R&D Program of China[2017YFC0405900] ; China Postdoctoral Science Foundation[2018M640155] ; National Natural Science Foundation of China[51709221] ; Planning project of science and technology of water resources of Shaanxi[2015slkj-27] ; Planning project of science and technology of water resources of Shaanxi[2017slkj-19] ; Key laboratory research projects of education department of Shaanxi province[17JS104] ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research)[IWHR-SKL-KF201803] ; Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering[2018490711] |
| WOS研究方向 | Engineering ; Geology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000527390200074 |
| 出版者 | ELSEVIER |
| 资助机构 | National Key R&D Program of China ; China Postdoctoral Science Foundation ; National Natural Science Foundation of China ; Planning project of science and technology of water resources of Shaanxi ; Key laboratory research projects of education department of Shaanxi province ; State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (China Institute of Water Resources and Hydropower Research) ; Belt and Road Special Foundation of the State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/159832]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Shengzhi |
| 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]. JOURNAL OF HYDROLOGY,2020,584:10. |
| 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,584,10. |
| 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):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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