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The Spatiotemporal Variation of Tree Cover in the Loess Plateau of China after the ‘Grain for Green’ Project

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  • Yuhang Wang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    College of Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Muyi Kang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    College of Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Mingfei Zhao

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    College of Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Kaixiong Xing

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Guoyi Wang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    College of Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Feng Xue

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
    College of Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

Abstract

Analyzing spatiotemporal variation of tree cover could enhance understanding of the environment and promote a sustainable resource use of ecosystems. This study investigated the variation in tree cover in the Loess Plateau after an ecological restoration effort called the ‘Grain for Green Project’ (GGP). The results show that the proportion of tree covered area in the Loess Plateau changed from 73% to 88%, with the cumulative tree cover fluctuating from approximately 7% to 11%, and the average annual tree cover increased from 10% in 2000 to 12% in 2014. Based on tree cover values over the course of 15 years, the study area was classified into five regions, which provide much more information for spatial assessment of tree cover change in the Loess Plateau spatially. The increase in tree cover value was mainly in the core part of Loess Plateau, the mountains, and the edge of the mountain areas; whereas the values were stable in 36.21% of the area, and a decrease was noted in 5.63% of the area, primarily located in the low plain areas. Approximately 26.36% of the Loess Plateau will show a sustained increase in tree cover in the future. The results of this study will facilitate us to understand the current conditions and development of the GGP’s effects, and offer a valuable reference for future detection of tree cover change through geographic information system (GIS) and remote sensing (RS) tools.

Suggested Citation

  • Yuhang Wang & Muyi Kang & Mingfei Zhao & Kaixiong Xing & Guoyi Wang & Feng Xue, 2017. "The Spatiotemporal Variation of Tree Cover in the Loess Plateau of China after the ‘Grain for Green’ Project," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:739-:d:97436
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    References listed on IDEAS

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    1. Fan, Ze-Meng & Li, Jing & Yue, Tian-Xiang, 2013. "Land-cover changes of biome transition zones in Loess Plateau of China," Ecological Modelling, Elsevier, vol. 252(C), pages 129-140.
    2. Couillard, Michel & Davison, Matt, 2005. "A comment on measuring the Hurst exponent of financial time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 404-418.
    3. Sánchez Granero, M.A. & Trinidad Segovia, J.E. & García Pérez, J., 2008. "Some comments on Hurst exponent and the long memory processes on capital markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(22), pages 5543-5551.
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    Cited by:

    1. Shengqi Jian & Peiqing Xiao & Yan Tang & Peng Jiao, 2023. "Runoff–Sediment Simulation of Typical Small Watershed in Loess Plateau of China," Sustainability, MDPI, vol. 15(6), pages 1-16, March.
    2. Yunfeng Hu & Rina Dao & Yang Hu, 2019. "Vegetation Change and Driving Factors: Contribution Analysis in the Loess Plateau of China during 2000–2015," Sustainability, MDPI, vol. 11(5), pages 1-16, March.

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