长江流域资源与环境 >> 2026, Vol. 35 >> Issue (2): 392-.doi: 10.11870/cjlyzyyhj202602009

• 自然资源 • 上一篇    下一篇

气候-土壤-微生物对金沙江干热河谷电站季节性水位波动的响应

辛浩然1,2 ,孙然好1,2 ,孙龙1, 2*   

  1. (1.中国科学院生态环境研究中心,区域与城市生态安全全国重点实验室,北京 100085;2.中国科学院大学,北京 100049)
  • 出版日期:2026-02-20 发布日期:2026-02-26

Response of Climate-Soil-Microbe System to Seasonal Water-Level Fluctuations in the Dry-Hot Valley of the Jinsha River Hydropower Stations 

XIN Hao-ran 1, 2, SUN Ran-hao 1, 2, SUN Long 1,2   

  1. (1. State Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China;2. University of Chinese Academy of Sciences, Beijing 100049, China)
  • Online:2026-02-20 Published:2026-02-26

摘要: 基于金沙江下游四座梯级电站(乌东德、白鹤滩、溪洛渡、向家坝)的实地监测数据,评估库区季节性水位波动对气象因子、土壤因子及土壤微生物群落的综合效应。结果显示:4月Shannon与Pielou指数均表现出显著空间异质性(H=13.997 3, p<0.01,H=15.098 5, p<0.01);PLFA总量在两个月份均无显著分异,表明微生物生物量与群落结构整体均一,可能受基质趋同化或生态位稳定性影响。PCA结果揭示,4月PC1解释方差较高(气象-土壤60.4%,气象-微生物69.2%),因子关联集中且区域分异显著;而9月PC1解释方差下降(气象-土壤38.6%,气象-微生物42.3%),显示因子关联分散、区域差异减弱。SEM分析进一步表明,水位稳定期气候因子受Soil(0.561***)与VPD(0.701*)正向驱动,土壤因子对微生物群落结构具有显著正效应(0.323*);水位上升期气候因子对微生物直接调控增强(0.531*),土壤贡献主要由TN(0.592*)、SAP(0.774*)和pH(0.65**)主导,SOC作用较弱(0.002 3)。总体而言,电站建设下的水位波动改变了“气象-土壤-微生物”耦合结构,在低水位期异质性突出,高水位期趋于均质化。研究结果为干热河谷水库生态效应评估与流域管理提供了定量依据。

Abstract: Seasonal water-level fluctuations in large reservoirs profoundly alter terrestrial-aquatic interfaces, yet their impacts on climate-soil-microbe interactions in dry-hot valleys remain poorly understood. Here, we combined field monitoring across four cascade reservoirs in the lower Jinsha River (Wudongde, Baihetan, Xiluodu, and Xiangjiaba) with multivariate analyses to evaluate ecosystem responses to hydrological regulation. Diversity indices showed clear seasonal dynamics, i.e., both Shannon and Pielou indices exhibited significant spatial heterogeneity in April (H=13.997 3, p<0.01; H=15.095 5, p<0.01), but not in September, whereas microbial biomass (PLFA) remained spatially homogeneous across both months. This suggested niche stability or substrate convergence. Principal component analysis (PCA) indicated stronger clustering and clearer reservoir separation in April, with PC1 explaining 60.4% of variance in climate-soil interactions and 69.2% in climate-microbe associations. By contrast, explained variance declined in September (38.6% and 42.3%, respectively), reflecting dispersed associations and weakened spatial differentiation. Structural equation modeling (SEM) further revealed that during stable water levels, climate was positively driven by soil (0.561***) and vapor pressure deficit (0.701*), while soil exerted a positive effect on microbes (0.323*). During water-level rise, direct climatic control on microbes intensified (0.531*), and soil effects were dominated by TN (0.592*), SAP (0.774*), and pH (0.65**), with SOC contributing marginally (0.002 3). These findings demonstrated that cascade reservoir impoundment reshaped climate-soil-microbe linkages. The microbial diversity responded sensitively to hydrological disturbances while biomass remained stable. Our study provided quantitative evidence for assessing ecological impacts of reservoir operation in dry-hot valleys and highlighted the role of hydrological regulation in mediating land-microbe coupling.

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