洱海流域水网结构驱动因子与拓扑特征的空间中介效应
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云南农业大学

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洱海典型流域水系网络-布局时空演化机理及其生态调控;云南省教育厅科学研究基金项目


The spatial mediating effect of driving factors and topological characteristics of the water network structure in the Erhai Lake Basin
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Yunnan Agricultural University

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    摘要:

    为了探讨洱海流域在社会与自然复合驱动下的水系网络时空耦合机制,揭示拓扑特征在驱动因子与水系要素之间的中介作用。本研究基于四期遥感与地理数据,运用复杂网络理论,选取九项拓扑指标表征结构特征,为克服传统回归难以同时处理驱动共线性、空间溢出与机制分解的局限,本文构建处理多驱动共线性的同时刻画空间溢出,并将总效应分解为直接效应与经拓扑结构传导的间接效应,从而更精准识别关键中介路径的偏最小二乘(PLS)–空间杜宾(SDM)–中介分析(Med)框架。结果表明:(1)2001–2023 年间,洱海水系由多源冗余向主干清晰、相对高效稳态演化。(2)共216条路径中识别68条显著X–M–Y路径,中介效率主要位于40%–80%间,边介数中心性、紧致度、全局效率和代数连通性为核心中介指标。(3)社会因子主要通过拓扑结构对水系要素产生高比例负向效应;自然因子整体表现为中等强度正向稳定效应,少数路径呈结构性抑制效应。本研究构建的PLS–SDM–Med框架可推广用于识别高原湖泊流域的关键结构单元与风险路径,可为洱海流域和其他高原湖泊的分区限制与生态修复提供理论依据。

    Abstract:

    To explore the spatiotemporal coupling mechanism of the water network in the Erhai Basin under the combined influence of natural and social drivers, and to reveal the mediating role of topological features between driving factors and water system elements, this study integrates four phases of remote sensing and geographic data within the framework of complex network theory. Nine topological indicators were selected to characterize the structural features of the basin’s water network,to overcome the limitation of traditional regression that it is difficult to simultaneously handle driver collinearity, spatial overflow and mechanism decomposition, this paper constructs a (Partial Least Squares)PLS-(Spatial Durbin Model)SDM-(Mediation effect)MED framework that can handle multi-driver collinearity, simultaneously characterize spatial overflow, and decompose the total effect into direct effects and indirect effects conducted through topological structure, thereby more accurately identifying key intermediate paths. The results show that:(1) From 2001 to 2023, the Erhai water network evolved from a multi-source redundant configuration to a stable state characterized by a clear mainstem and relatively high efficiency.(2) Among a total of 216 paths, 68 significant X-M-Y paths were identified, with mediation efficiencies mainly ranging between 40% and 80%. Betweenness centrality of edges, compactness, global efficiency, and algebraic connectivity were identified as the core mediating indicators.(3) Social factors primarily exerted high-proportion negative effects on hydrological elements through the mediating role of network topology, while natural factors generally displayed moderately strong and stable positive effects, with a few pathways showing structural suppressing effects.The proposed PLS–SDM–Med analytical framework provides a transferable approach for identifying key structural units and risk pathways in plateau lake basins, offering a theoretical basis for zoning control and ecological restoration in the Erhai Basin and other similar highland lake watersheds.

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  • 收稿日期:2025-12-10
  • 最后修改日期:2026-04-07
  • 录用日期:2026-04-08
  • 在线发布日期: 2026-06-08
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