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      Ecological Risks Arising from the Impact of Large-scale Afforestation on the Regional Water Supply Balance in Southwest China

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      1 , 2 , , 2
      Scientific Reports
      Nature Publishing Group UK
      Phenology, Ecosystem services, Phenology

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          Abstract

          Ecological degradation impedes sustainable development in Southwest China, and artificial afforestation has been a key strategy of the Government of China to effectively curb it. However, the water consumed by large-scale afforestation has a huge impact on water supply in Southwest China, which also arise a new challenge causing severe drought here recently. In order to determine the impact of artificial afforestation on the region, this study conducts spatiotemporal, abrupt change, and correlation and regression analyses. Results show that although water resources fluctuate, they exhibit a general declining trend. Especially after 2000, water resources showed a significant downward trend. In terms of spatial tendency, there has been an obvious decrease in water resources in the Sichuan Basin, the mountainous region of eastern Chongqing, and the Yunnan–Guizhou Plateau. Due to extensive afforestation and vegetation cover growth, there has been an increase in most trends of forest-shrub ecosystems, resulting in substantially enhanced evapotranspiration effects. The uptake of water by afforestation in Southwest China could reach 40.42 billion m 3, which is equivalent to 10.69% of its annul available water supply (1980–2015). Generally, afforestation disrupts the water balance of the region. This study recommends substituting afforestation for natural restoration or, at the very least, selecting vegetation that requires less water for the restoration of the ecological environment of Southwest China, which provide scientific method for regional sustainable development.

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          Most cited references33

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          Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s

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            Global evaluation of four AVHRR–NDVI data sets: Intercomparison and assessment against Landsat imagery

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              Soil moisture decline due to afforestation across the Loess Plateau, China

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                Author and article information

                Contributors
                xiaoqiang1617@hotmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                5 March 2020
                5 March 2020
                2020
                : 10
                : 4150
                Affiliations
                [1 ]ISNI 0000 0000 9232 802X, GRID grid.411912.e, College of Biology and Environmental Sciences, , Jishou University, ; Jishou, 416000 China
                [2 ]ISNI 0000 0004 1762 504X, GRID grid.449955.0, Chongqing University of Arts and Sciences, ; Chongqing, 402160 China
                Author information
                http://orcid.org/0000-0002-8355-5209
                Article
                61108
                10.1038/s41598-020-61108-w
                7058089
                32139773
                7144e234-b8fd-45d7-a3b3-e2dd3b1fca3d
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 13 June 2018
                : 10 February 2020
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                © The Author(s) 2020

                Uncategorized
                phenology,ecosystem services
                Uncategorized
                phenology, ecosystem services

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