中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Large-scale afforestation significantly increases permanent surface water in China's vegetation restoration regions

文献类型:期刊论文

作者Zeng, Yi1,2; Yang, Xiankun3; Fang, Nufang1,4; Shi, Zhihua2,4,5
刊名AGRICULTURAL AND FOREST METEOROLOGY
出版日期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
DOI10.1016/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.
WOS关键词LEAST-SQUARES REGRESSION ; CLIMATE-CHANGE ; LOESS PLATEAU ; LAND-USE ; ECOSYSTEM SERVICES ; FOREST COVER ; CHECK DAMS ; STREAMFLOW ; DYNAMICS ; YIELD
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研究方向Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000540172000010
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences
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.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
2.Huazhong Agr Univ, Coll Resources & Environm, Wuhan 430070, Peoples R China
3.Guangzhou Univ, Sch Geog Sci, Guangzhou 510006, 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.

入库方式: OAI收割

来源:地理科学与资源研究所

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