Large-scale afforestation significantly increases permanent surface water in China's vegetation restoration regions | |
Zeng, Yi2,3; Yang, Xiankun1; Fang, Nufang2,4; Shi, Zhihua3,4,5 | |
刊名 | AGRICULTURAL AND FOREST METEOROLOGY
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2020-08-15 | |
卷号 | 290页码:10 |
关键词 | Vegetation restoration Human activities Climate change Surface water resources Afforestation |
ISSN号 | 0168-1923 |
DOI | 10.1016/j.agrformet.2020.108001 |
通讯作者 | Fang, Nufang(fnf@ms.iswc.ac.cn) |
英文摘要 | China is facing the challenge of the uncertain impacts of large-scale afforestation on regional water resources. However, the effects of vegetation cover changes on the variation in surface water at the regional scale are still controversial. Here, we focused on the 0.9 million km(2) vegetation restoration region in China, where the highest significant vegetation cover changes on the earth. Multi-source remote sensing data were used to describe the characteristics of seasonality and transition of surface water and to analyse the causes of surface water changes from climate, vegetation cover and other human factors. Our results show that the annual maximum NDVI of Northeast region (NE) and Loess Plateau region (LP) increased significantly from 0.74 to 0.85 and 0.49 to 0.62 from 2000 to 2015, respectively. Meanwhile, permanent water, as a vital component of surface water, exhibited net increases of 695.6 km(2) and 119.4 km(2) in NE and LP from 2000 to 2015, respectively. The extension in permanent water and the implementation of ecological projects exhibited highly consistent spatiotemporal patterns. Statistical analysis indicated that vegetation cover is an important factor in controlling permanent water changes. Human activities such as building dams and reservoirs are also an important explanatory variable for permanent water increases. The newly built dams contributed 43% in NE and 25% in LP to the increase in permanent water. In addition, although climatic factors were not the main factor influencing permanent water, precipitation significantly affected the total surface water in NE. These findings have potential implications for understanding surface water and forest dynamics and formulating regional development plans in the vegetation restoration region in China. |
资助项目 | National Natural Science Foundation of China[41525003] ; National Natural Science Foundation of China[41671282] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB40020302] |
WOS关键词 | LEAST-SQUARES REGRESSION ; CLIMATE-CHANGE ; LOESS PLATEAU ; LAND-USE ; ECOSYSTEM SERVICES ; FOREST COVER ; CHECK DAMS ; STREAMFLOW ; DYNAMICS ; YIELD |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000540172000010 |
资助机构 | National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences |
内容类型 | 期刊论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/162214] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Fang, Nufang |
作者单位 | 1.Guangzhou Univ, Sch Geog Sci, Guangzhou 510006, Peoples R China 2.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China 3.Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China 4.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, 26 Xinong Rd, Yangling 712100, Shaanxi, Peoples R China 5.CAS Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Peoples R China |
推荐引用方式 GB/T 7714 | Zeng, Yi,Yang, Xiankun,Fang, Nufang,et al. Large-scale afforestation significantly increases permanent surface water in China's vegetation restoration regions[J]. AGRICULTURAL AND FOREST METEOROLOGY,2020,290:10. |
APA | Zeng, Yi,Yang, Xiankun,Fang, Nufang,&Shi, Zhihua.(2020).Large-scale afforestation significantly increases permanent surface water in China's vegetation restoration regions.AGRICULTURAL AND FOREST METEOROLOGY,290,10. |
MLA | Zeng, Yi,et al."Large-scale afforestation significantly increases permanent surface water in China's vegetation restoration regions".AGRICULTURAL AND FOREST METEOROLOGY 290(2020):10. |
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