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1993—2023年西南喀斯特连片区石漠化敏感性时空演变及整治区差异
Spatiotemporal evolution of Karst rocky desertification sensitivity and differences among remediation areas in the southwest China Karst continuous region from 1993 to 2023
【摘要】 西南喀斯特连片区是我国石漠化演变最典型的区域之一,其敏感性格局的时序演变特征是制定差异化治理策略的重要依据。1993—2023年,生态治理显著重构了区域石漠化敏感性的时空格局。然而,已有研究多停留于静态评价,对治理措施的响应效应及长期动态演化缺乏系统揭示,同时,敏感性评价模型在科学性与适用性方面仍亟待提升。为此,基于GEE(Google Earth Engine)遥感大数据平台,引入加权几何平均模型,构建改进型的石漠化敏感性指数(RDSI),系统解析1993—2023年间石漠化敏感性的演变轨迹及其在不同治理强度下的空间差异特征。结果表明:(1)石漠化敏感性整体呈缓慢下降趋势,RDSI均值由1993年的3.4540降至2023年的2.9819,其中高值区集中分布于云贵高原向广西丘陵过渡的斜坡喀斯特地带,低值区则主要位于断裂构造控制的河谷区域,空间异质性显著;(2)在不同治理强度区域,敏感性演变表现出较明显的分化特征,RDSI衰减速率与稳定性随整治力度增强而提高,变化趋势斜率从自然演替保育区的-0.0168提高至工程干预核心区的-0.0193,拟合优度由0.848上升至0.932,但治理效果表现出增幅递减、滞后性与累积性并存的特征;(3)石漠化敏感性的演化受生态环境基底与人类活动共同驱动,其中生态环境基底起主要作用,二者耦合塑造了区域敏感性格局。研究可深化对喀斯特地区人地系统耦合机制的理解,为石漠化治理政策优化与区域可持续发展提供理论支持。
【Abstract】 The contiguous karst region of southwest China is one of the most typical areas for rocky desertification evolution in the country. Understanding the spatiotemporal evolution characteristics of its sensitivity patterns serves as a crucial and fundamental basis for the formulation of differentiated governance strategies. Over the past three decades, the implementation of ecological governance has significantly reshaped the spatiotemporal patterns of regional rocky desertification sensitivity. However, existing studies have largely remained at the level of static assessment. There is a notable lack of systematic research revealing the response effects to governance measures and the long-term dynamic evolution of these patterns. Furthermore, the scientific rigor and regional applicability of current sensitivity evaluation models still require urgent improvement. To address this gap, this study relies on the Google Earth Engine(GEE) remote sensing big data platform. By introducing a Weighted Geometric Mean Model, we constructed an improved Rocky Desertification Sensitivity Index(RDSI). This approach allowed for a systematic analysis of the evolutionary trajectory of rocky desertification sensitivity from 1993 to 2023, as well as the characteristics of its spatial differentiation under varying governance intensities. The empirical results derived from this study indicate that:(1) The sensitivity of rocky desertification generally presents a slow downward trend. Specifically, the mean value of the RDSI decreased from 3.4540 in 1993 to 2.9819 in 2023. In terms of spatial distribution, the high-value areas are intensely concentrated in the sloping karst terrain transitioning from the Yunnan-Guizhou Plateau to the Guangxi Hills. In contrast, the low-value areas are primarily located in river valley regions controlled by fault structures, demonstrating significant spatial heterogeneity.(2) Across regions characterized by different governance intensities, the evolution of sensitivity displays marked differentiation characteristics. The decay rate and stability of the RDSI increase with the enhancement of remediation efforts. The slope of the change trend(k) improved from-0.0168 in the Natural Succession and Conservation Zone to-0.0193 in the Engineering Intervention Core Zone. Similarly, the goodness of fit(R~2) rose from 0.848 to 0.932. However, the governance effects exhibit complex characteristics, showing marginal diminishing returns, as well as the coexistence of time-lag and cumulative effects.(3) The evolution of rocky desertification sensitivity is jointly driven by the ecological environmental background and human activities. Among these factors, the ecological environmental background plays the dominant role, and the coupling of the two shapes the regional sensitivity pattern. This study enhances the understanding of human-environment coupling mechanisms in karst regions and provides theoretical support for optimizing rocky desertification governance policies and promoting regional sustainable development.
【Key words】 rocky desertification; rocky desertification sensitivity; spatiotemporal pattern; differentiation in remediation zones; remote sensing big data; southwest China;
- 【文献出处】 生态学报 ,Acta Ecologica Sinica , 编辑部邮箱 ,2026年11期
- 【分类号】P931.5;X87;X171.4
- 【下载频次】44