李永平, 赵晓燕. 长江上游植被覆盖度时空变化及驱动力——以宜宾市为例[J]. 内江师范学院学报, 2025, 40(12): 67-76. DOI: 10.13603/j.cnki.51-1621/z.2025.12.009
    引用本文: 李永平, 赵晓燕. 长江上游植被覆盖度时空变化及驱动力——以宜宾市为例[J]. 内江师范学院学报, 2025, 40(12): 67-76. DOI: 10.13603/j.cnki.51-1621/z.2025.12.009
    LI Yongping, ZHAO Xiaoyan. Spatio-temporal changes and driving forces of vegetation coverage in the upper reaches of the Yangtze River: a case study of Yibin City[J]. Journal of Neijiang Normal University, 2025, 40(12): 67-76. DOI: 10.13603/j.cnki.51-1621/z.2025.12.009
    Citation: LI Yongping, ZHAO Xiaoyan. Spatio-temporal changes and driving forces of vegetation coverage in the upper reaches of the Yangtze River: a case study of Yibin City[J]. Journal of Neijiang Normal University, 2025, 40(12): 67-76. DOI: 10.13603/j.cnki.51-1621/z.2025.12.009

    长江上游植被覆盖度时空变化及驱动力——以宜宾市为例

    Spatio-temporal changes and driving forces of vegetation coverage in the upper reaches of the Yangtze River: a case study of Yibin City

    • 摘要: 为了探究长江上游生态环境保护情况,选取了生态环境脆弱的长江首城宜宾市作为研究区,分析20年植被生长动态变化情况.基于2001—2021年的Landsat遥感卫星数据,采用一元线性回归分析、变异系数、空间自相关和Hurst指数对宜宾市植被覆盖度的时空演变趋势进行分析,采用最优参数地理探测器模型对驱动力进行探讨.结果表明:(1)宜宾市植被覆盖度为中等以上等级的面积占比为76.63%,植被覆盖状况良好.在空间上呈"东北部低,其他区域高"的分布格局,在时间上植被覆盖呈波动下降的趋势.(2)20年间,研究区植被覆盖退化趋势显著.Hurst指数大于0.5的区域面积占比为85.67%,表明研究区植被变化具有长期的正向持续性特征.Slope趋势分析和Hurst持续性耦合分析表明,植被覆盖呈持续性改善的面积占比为31.53%,呈持续性退化趋势的面积占比为49.55%.Moran’s I指数呈高-高聚集和低-低聚集,景观斑块破碎化趋势显著.(3)OPGD探测结果显示,土地利用类型、高程、年均气温、坡度为植被覆盖变化的主要驱动因子,解释力q值大于19%.任意两个因子交互作用增加了对植被覆盖变化的影响.研究结果为促进长江上游生态环境保护、生态修复和区域社会经济可持续发展提供参考依据.

       

      Abstract: To investigate the status of ecological environment protection in the upper reaches of the Yangtze River, Yibin City, the first city on the Yangtze River known for its ecologically vulnerable environment, was selected as the study area to analyze the dynamic changes in vegetation growth over 20 years. Based on Landsat remote sensing data from 2001 to 2021, this study employed univariate linear regression analysis, coefficient of variation, spatial autocorrelation, and the Hurst index to analyze the spatio-temporal evolution trends of vegetation coverage in Yibin City. The Optimal Parameters-based Geographical Detector (OPGD) model was used to explore the driving forces. The results indicate that: (1) Areas with medium or higher grades of vegetation coverage accounted for 76.63% of Yibin City, indicating generally good vegetation conditions. Spatially, vegetation coverage showed a distribution pattern of "low in the northeast and high in other areas," while temporally, it exhibited a fluctuating downward trend. (2) Over the two decades, the study area showed a significant trend of vegetation degradation. Areas with a Hurst index greater than 0.5 accounted for 85.67% of the total, indicating a long-term positive persistence characteristic in vegetation change. The coupled analysis of Slope trend and Hurst persistence revealed that areas with persistent improvement in vegetation coverage accounted for 31.53%, whereas areas with persistent degradation accounted for 49.55%. The Moran’s I index showed high-high and low-low clustering, suggesting a significant trend of landscape patch fragmentation. (3) The OPGD detection results identified land use type, elevation, annual average temperature, and slope as the main driving factors for vegetation coverage change, with explanatory power (q-value) greater than 19%. The interaction of any two factors increased the impact on vegetation coverage change. The findings of this study provide a reference for promoting ecological environment protection, ecological restoration, and regional socio-economic sustainable development in the upper reaches of the Yangtze River.

       

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