基于集合群落动态模型的半干旱受控河流水生群落动态特征及驱动机制解析以大黑河为例

Characteristics and underlying mechanisms of aquatic community dynamics in a semiarid regulated river: an analysis based on the metacommunity dynamics model: a case study of the Daheihe River

  • 摘要: 半干旱受控河流(指受人类活动影响显著的河流)水生群落动态对环境变化响应敏感,外部因素对水生群落动态的作用机制是当前研究的热点问题。以黄河一级支流大黑河的中下游河段为研究对象,基于2023—2024年4个断面36组“三水”同步监测数据,联合应用集合群落动态模型(MDM)、累计扩散量(CDV)与扩散相对潜力指数(RDPI),系统分析了浮游植物、浮游动物及底栖动物群落的生态位特征、扩散规律及驱动机制。结果表明:①3类群落在多数环境梯度上表现出较宽的生态位(0.80~1.00之间),群落资源利用重叠程度较高(平均竞争系数达0.93),但群落间仍存在一定程度的生态位分异特征;②空间扩散沿河流纵向表现为“上游净输出-下游净输入”格局,其中浮游动物扩散潜力最高(RDPI为0.44);③生物相互作用对群落动态的平均贡献率最高(51%),高于水质效应(27%)和水文效应(22%),且沿河流纵向呈现明显空间异质性。研究成果可为半干旱河流生态水文过程及“三水”协同治理提供科学依据。

     

    Abstract: Aquatic community dynamics in semiarid regulated rivers (i.e., river systems significantly regulated by human activities) are sensitive to environmental changes; however, the precise mechanisms by which external drivers shape these dynamics remain poorly understood. Focusing on the middle and lower reaches of the Daheihe River (a first-order tributary of the Yellow River), this study utilizes 36 sets of synchronous “three-waters” (water resources, water environment, and water ecology) monitoring data collected across four cross-sections from 2023 to 2024. By integrating a metacommunity dynamics model (MDM), cumulative dispersal volume (CDV), and the relative dispersal potential index (RDPI), we elucidate the niche characteristics, dispersal patterns and underlying mechanisms of phytoplankton, zooplankton, and benthic macroinvertebrate communities. Several key findings emerged. First, the three communities exhibited relatively broad ecological niches (0.80—1.00) across most environmental gradients, with a high degree of overlap in resource utilization (mean competition coefficient of 0.93). Nevertheless, a certain degree of ecological niche differentiation persisted among the communities. Second, spatial dispersal along the river axis exhibited a pattern of net upstream output and net downstream input, with zooplankton showing the highest dispersal potential (RDPI = 0.44). Third, biotic interactions contributed significantly more to community dynamics (51%) than water quality (27%) and hydrological factors (22%), while exhibiting pronounced spatial heterogeneity along the river axis. These findings provide a scientific basis for the ecohydrological management of semiarid rivers and the coordinated governance of water resources, water environment, and water ecology.

     

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