用微信扫码二维码

分享至好友和朋友圈

WE ARE COMMITTED TO REPORTING THE LATEST FORESTRY ACADEMIC ACHIEVEMENTS

黄河流域陕西段植被覆盖度时空变化与多尺度驱动机制分析

Spatiotemporal changes in vegetation cover and multi-scale driving mechanisms in Shaanxi section of the Yellow River Basin

  • 摘要: 黄河流域陕西段是黄河流域高质量发展战略的关键区域,探究其植被变化及驱动力对黄河流域生态保护和可持续发展具有重要意义。基于GEE平台,估算2000—2023年研究区的植被覆盖度数据,综合运用变异系数、重心迁移模型、趋势分析法、Hurst指数和地理探测器,揭示研究区植被时空演变规律及其驱动机制。结果表明:(1)2000—2023年研究区内植被覆盖度(FVC)呈显著波动上升趋势,植被整体改善。不同覆盖等级植被重心迁移呈现空间分异:低和较低覆盖(FVC≤0.4)植被重心向东北迁移,中高覆盖(0.4<FVC≤1)植被重心则向北推移;区域植被覆盖波动性较强,高波动区(0.2≤CV)占比超2/3,且高波动区与高覆盖区空间分布高度重叠。(2)研究区大部分区域植被改善趋势可持续,渭南、咸阳及延安等地局部存在退化风险。(3)年平均降水量的解释力最强(q=0.66)是研究区FVC变化的主导因子。各因子交互作用解释力均大于单因子,自然和社会的耦合作用显著影响区域植被覆盖变化。研究结果对于黄河流域生态保护发展具有重要参考价值。

     

    Abstract: Shaanxi section of the Yellow River Basin is the key area for the high-quality development strategy of the Yellow River Basin, and it is of great significance to investigate its vegetation changes and driving forces for ecological protection and sustainable development of the Yellow River Basin. Based on the GEE platform, the vegetation cover data of the study area from 2000 to 2023 was estimated, and the variation coefficient, center of gravity migration model, trend analysis method, Hurst index and geographic detector were comprehensively used to reveal the spatiotemporal evolution patterns and driving mechanisms of vegetation in the study area. The results indicated that: (1) From 2000 to 2023, the vegetation cover (FVC) in the study area exhibited a significantly fluctuating upward trend, which reflecting overall vegetation improvement. Spatial differentiation was observed in the migration of vegetation centers across different coverage levels: centers for low and moderately low coverage (FVC≤0.4) shifted northeastward, while those for medium-high coverage (0.4<FVC≤1) moved northward. Regional vegetation coverage exhibited strong variability, with high-fluctuation zones (CV≥0.2) covering over two-thirds of the area, showing high spatial overlap with high-coverage zones. (2) Vegetation improvement trends were sustainable across most of the study area, though localized degradation risks exist in Weinan, Xianyang, and Yan'an. (3) The annual average precipitation had the strongest explanatory power (q=0.66), which was the dominant factor influencing FVC changes in the study area. The explanatory power of the interactions among all factors was greater than that of individual factor, indicating that the coupling of natural and social factors significantly influenced regional vegetation cover changes. These findings provide important reference value for ecological conservation and development in the Yellow River Basin.

     

/

返回文章
返回