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Heterogeneity Analysis of Spatio-Temporal Distribution of Vegetation Cover in Two-Tider Administrative Regions of China

Author

Listed:
  • Guoxiu Shang

    (Nanjing Hydraulic Research Institute, Nanjing 210029, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210029, China)

  • Xiaogang Wang

    (Nanjing Hydraulic Research Institute, Nanjing 210029, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210029, China)

  • Yun Li

    (Nanjing Hydraulic Research Institute, Nanjing 210029, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210029, China)

  • Qi Han

    (Nanjing Hydraulic Research Institute, Nanjing 210029, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210029, China)

  • Wei He

    (Nanjing Hydraulic Research Institute, Nanjing 210029, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210029, China)

  • Kaixiao Chen

    (Nanjing Hydraulic Research Institute, Nanjing 210029, China
    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing 210029, China)

Abstract

Vegetation cover is a crucial component of regional ecological environments that plays a vital role in maintaining ecosystem balance. This investigation utilized Google Earth Engine and MODIS NDVI products to examine the spatiotemporal heterogeneity of regional vegetation coverage based on the multi-year average NDVI in China. Using the multi-year average NDVI, multi-year change trend slope, coefficient of variation, and Hurst exponent, the spatial and temporal heterogeneity of provincial and prefectural administrative regions were quantified. The results indicated an upward trend in vegetation coverage from 2000 to 2021 at both provincial and prefectural levels, with growth rates of 0.032/10a and 0.03/10a, respectively. Moreover, the multi-year average NDVI significantly correlated with regional precipitation. Notably, vegetation growth was fastest in the Loess Plateau, while degradation was observed in southern Jiangsu and northern Zhejiang. Additionally, the degree of vegetation cover change in Ningxia and Macau was particularly prominent. These findings support the effectiveness of the Loess Plateau greening project and highlight the potential cost of economic and population growth on the ecosystem in eastern and southeastern coastal areas, where local vegetation degradation occurs. This study can serve as a valuable reference for ecosystem restoration and developmental planning at the administrative regional level, with the goal of enhancing vegetation management and conservation efforts in China.

Suggested Citation

  • Guoxiu Shang & Xiaogang Wang & Yun Li & Qi Han & Wei He & Kaixiao Chen, 2023. "Heterogeneity Analysis of Spatio-Temporal Distribution of Vegetation Cover in Two-Tider Administrative Regions of China," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13305-:d:1233288
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    References listed on IDEAS

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    1. Shuang Li & Feili Wei & Zheng Wang & Jiashu Shen & Ze Liang & Huan Wang & Shuangcheng Li, 2021. "Spatial Heterogeneity and Complexity of the Impact of Extreme Climate on Vegetation in China," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    2. Xiaoyu Deng & Liangxu Wu & Chengjin He & Huaiyong Shao, 2022. "Study on Spatiotemporal Variation Pattern of Vegetation Coverage on Qinghai–Tibet Plateau and the Analysis of Its Climate Driving Factors," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    3. Xuhui Sun & Yicong Cao & Xiaobin He & Rongxing Wang & Peng Zeng & Yanpeng Li & Zhipang Huang & Wen Xiao, 2022. "Administrative Level May Be the Key Factor to Improve Protection Effectiveness of Nature Reserves in China," Sustainability, MDPI, vol. 14(8), pages 1-11, April.
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    Cited by:

    1. Weiyi Lu & Geer Teni & Huishi Du, 2024. "Vegetation–Lake–Sand Landscape of Northeast China Sandy Land between 1980 and 2022: Pattern, Evolution, and Driving Forces," Sustainability, MDPI, vol. 16(8), pages 1-18, April.

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