Zeng Dahai, Ding Houkuan, Tang Yuanyuan, Gao Yunni, Jin Jialin, Gao Xiaofei, Zhang Jingxiao, Yuan Huatao, Dong Jing, Li Xuejun
College of Fisheries, Henan Normal University, Xinxiang, China.
Observation and Research Station on Water Ecosystem in Danjiangkou Reservoir of Henan Province, Nanyang, China.
Front Microbiol. 2025 Jul 14;16:1610438. doi: 10.3389/fmicb.2025.1610438. eCollection 2025.
Phytoplankton communities play a crucial role in riverine ecosystems, yet their assembly mechanisms in high-silt environments remain poorly understood. This study investigated seasonal variations in phytoplankton community structure and assembly mechanisms in a riverine environment with high silt loads. Phytoplankton and physicochemical water quality factors were analyzed in the middle and lower reaches of the Yellow River during two seasons: November 2023 (autumn) and April 2024 (spring). A total of 110 algal species from seven phyla were identified, with Chlorophyta being predominant in species richness and Cyanophyta in cell density. Both species richness and abundance were lower in autumn than in spring. The α-diversity analysis revealed that the Pielou's eveness index was significantly higher in spring compared to autumn. Non-metric multidimensional scaling (NMDS) based on Bray-Curtis distances showed significant seasonal differences in phytoplankton community composition. Furthermore, β-diversity decomposition analysis revealed that turnover was the dominant component in both seasons, but the proportion of nestedness was significantly higher in spring compared to autumn ( < 0.05). Based on the analyses of the dispersal-niche continuum index (DNCI) and the modified stochasticity ratio (MST), this study demonstrates pronounced seasonal variations in the assembly mechanisms governing phytoplankton communities in the middle and lower reaches of the Yellow River. In autumn, stochastic processes, primarily driven by dispersal, accounting for 58.85% of the community assembly. In contrast, deterministic processes, largely shaped by niche selection, contributing 65.05% to the community assembly in spring. The community structure of phytoplankton in this region is shaped by the combined effects of geographical factors, elevation, and environmental variables, with particularly pronounced seasonal variations in environmental drivers-total nitrogen (TN) emerges as the primary factor influencing autumn community assembly, while spring community structure is mainly regulated by silica (SiO₂) and pH. This study deepens the understanding of phytoplankton assembly mechanisms in sediment-rich rivers and provides fundamental data for phytoplankton construction mechanisms and aquatic biodiversity conservation in the middle and lower reaches of the Yellow River.
浮游植物群落对河流生态系统起着至关重要的作用,然而它们在高泥沙环境中的组装机制仍知之甚少。本研究调查了高泥沙负荷河流环境中浮游植物群落结构的季节变化及其组装机制。于2023年11月(秋季)和2024年4月(春季)两个季节,对黄河中下游的浮游植物和理化水质因子进行了分析。共鉴定出7个门的110种藻类,其中绿藻门在物种丰富度上占主导地位,蓝藻门在细胞密度上占主导地位。秋季的物种丰富度和丰度均低于春季。α多样性分析表明,春季的皮洛均匀度指数显著高于秋季。基于Bray-Curtis距离的非度量多维尺度分析(NMDS)显示浮游植物群落组成存在显著的季节差异。此外,β多样性分解分析表明,周转是两个季节的主要组成部分,但春季嵌套度的比例显著高于秋季(<0.05)。基于扩散-生态位连续体指数(DNCI)和修正随机性比率(MST)的分析,本研究表明黄河中下游浮游植物群落的组装机制存在明显的季节变化。秋季,随机过程主要由扩散驱动,占群落组装的58.85%。相比之下,确定性过程主要由生态位选择塑造,在春季对群落组装的贡献为65.05%。该地区浮游植物的群落结构受地理因素、海拔和环境变量的综合影响,环境驱动因素的季节变化尤为明显——总氮(TN)是影响秋季群落组装的主要因素,而春季群落结构主要受二氧化硅(SiO₂)和pH值调节。本研究加深了对富含沉积物河流中浮游植物组装机制的理解,并为黄河中下游浮游植物构建机制和水生生物多样性保护提供了基础数据。