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Land-Greening Hotspot Changes in the Yangtze River Economic Belt during the Last Four Decades and Their Connections to Human Activities

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  • Liangsheng Zhang

    (College of Geography and Environment, Shandong Normal University, Jinan 250358, China
    Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China)

  • Haijiang Luo

    (China National Environmental Monitoring Centre, Beijing 100012, China)

  • Xuezhen Zhang

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

The spatial patterns of the normalized difference vegetation index (NDVI) changes in the Yangtze River Economic Belt (YREB) and their potential causes during the last four decades remain unclear. To clarify this issue, this study firstly depicts the spatial patterns of the NDVI changes using global inventory modelling and mapping studies (GIMMS) NDVI data and Moderate Resolution Imaging Spectroradiometer (MODIS) NDVI data. Secondly, the Mann–Kendall test, regression residual analysis and cluster analysis are used to diagnose the potential causes of the NDVI changes. The results show that the regional mean NDVI exhibited an uptrend from 1982 to 2019, which consists of two prominent uptrend periods, i.e., 1982–2003 and 2003–2019. There has been a shift of greening hotspots. The first prominent greening trend from 1982 to 2003 mainly occurred in the eastern agricultural area, while the second prominent greening uptrend from 2003 to 2019 mainly occurred at the junction of Chongqing, Guizhou and Yunnan. The greening trend and shift of greening hotspots were slightly caused by climate change, but mainly caused by human activities. The first greening trend was closely related to the agricultural progress, and the second greening trend was associated with the rapid economic development and implementation of ecology restoration policies.

Suggested Citation

  • Liangsheng Zhang & Haijiang Luo & Xuezhen Zhang, 2022. "Land-Greening Hotspot Changes in the Yangtze River Economic Belt during the Last Four Decades and Their Connections to Human Activities," Land, MDPI, vol. 11(5), pages 1-17, April.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:605-:d:798409
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    References listed on IDEAS

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    1. Yuting Yang & Michael L. Roderick & Shulei Zhang & Tim R. McVicar & Randall J. Donohue, 2019. "Hydrologic implications of vegetation response to elevated CO2 in climate projections," Nature Climate Change, Nature, vol. 9(1), pages 44-48, January.
    2. Yi Y. Liu & Albert I. J. M. van Dijk & Richard A. M. de Jeu & Josep G. Canadell & Matthew F. McCabe & Jason P. Evans & Guojie Wang, 2015. "Recent reversal in loss of global terrestrial biomass," Nature Climate Change, Nature, vol. 5(5), pages 470-474, May.
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    Cited by:

    1. Jie Li & Mengfei Xi & Lijun Wang & Ning Li & Huawei Wang & Fen Qin, 2022. "Vegetation Responses to Climate Change and Anthropogenic Activity in China, 1982 to 2018," IJERPH, MDPI, vol. 19(12), pages 1-20, June.
    2. Tongning Li & Daozheng Li & Diling Liang & Simin Huang, 2022. "Coupling Coordination Degree of Ecological-Economic and Its Influencing Factors in the Counties of Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(22), pages 1-21, November.
    3. Yanzhen Hou & Zhenlong Zhang & Yuerong Wang & Honghu Sun & Chang Xu, 2022. "Function Evaluation and Coordination Analysis of Production–Living–Ecological Space Based on the Perspective of Type–Intensity–Connection: A Case Study of Suzhou, China," Land, MDPI, vol. 11(11), pages 1-21, November.
    4. Meirui Li & Baolei Zhang & Xiaobo Zhang & Shumin Zhang & Le Yin, 2023. "Exploring Spatio-Temporal Variations of Ecological Risk in the Yellow River Ecological Economic Belt Based on an Improved Landscape Index Method," IJERPH, MDPI, vol. 20(3), pages 1-17, January.

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