2000-2023年巢湖流域植被时空演化及其影响因素的空间异质性研究
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安徽农业大学

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Study on the Spatial-temporal Evolution of Vegetation and the Spatial Heterogeneity of Its Influencing Factors in the Chaohu Basin from 2000 to 2023
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Anhui Agricultural University

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    摘要:

    [目的]监测巢湖流域的植被覆盖度(FVC)并分析其影响因素的空间异质性,为巢湖流域环境保护、水资源调配等方面提供科学依据。[方法]本研究利用GEE平台计算巢湖流域2000—2023年的FVC,使用Theil-Sen Median斜率估计、Mann-Kendall趋势检验、变异系数和Hurst指数分析其变化特征及趋势,使用地理探测器和多尺度地理加权回归(MGWR)探讨植被时空变化及其影响因素的空间异质性并实现可视化。[结果](1)巢湖流域FVC>0.4的面积占比为60.96%;二十四年间FVC总体呈上升趋势,整体改善区域占比58.21%,但未来FVC可能面临由改善转为退化的风险。(2)地理探测器因子探测表明,各影响因素与FVC均显著相关;交互探测显示,双因素交互作用显著增强了对FVC的解释能力。(3)MGWR结果显示,不同影响因素对于巢湖流域植被的作用出现明显的空间差异。(4)各影响因素对巢湖流域FVC表现出不同的作用尺度,其中GDP、日照时长和高程为全局变量,其余影响因素为局部变量。[结论]本研究有效揭示了不同影响因素在空间上的异质性,为巢湖流域的生态保护提供了量化依据和理论支持,促进区域内的可持续发展。

    Abstract:

    [Objective] This study aims to monitor the fractional vegetation coverage (FVC) in the Chaohu Basin and analyze the spatial heterogeneity of its influencing factors, providing scientific support for environmental protection and water resource management in the region. [Methods] The FVC from 2000 to 2023 in the Chaohu Basin was calculated using the Google Earth Engine (GEE) platform. The Theil-Sen Median slope estimator, Mann-Kendall trend test, coefficient of variation, and Hurst index were applied to analyze the variation characteristics and trends. The geographic detector and Multi-scale geographically weighted regression (MGWR) were used to explore the spatial heterogeneity of vegetation temporal and spatial changes and their influencing factors, with results visualized. [Results] (1) The area proportion of FVC > 0.4 in the Chaohu Basin is 60.96%. Over the 24 years, FVC showed an upward trend, with 58.21% of the area improving overall. However, there is a potential risk of FVC degradation in the future. (2) The geographic detector analysis indicated that all influencing factors were significantly related to FVC. Interaction detection revealed that the interaction of two factors significantly enhanced the explanatory power for FVC. (3) MGWR results showed that different influencing factors had significant spatial variations in their effects on vegetation in the Chaohu Basin. (4) Different influencing factors showed varying scales of impact on FVC in the Chaohu Basin, with GDP, sunlight duration, and elevation as global variables, and other factors as local variables. [Conclusions] This study effectively reveals the spatial heterogeneity of different influencing factors, providing quantitative and theoretical support for ecological protection in the Chaohu Basin and promoting sustainable development in the region.

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  • 收稿日期:2025-01-13
  • 最后修改日期:2025-02-26
  • 录用日期:2025-03-11
  • 在线发布日期: 2025-07-07
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