Abstract: To elucidate the vertical distribution characteristics of phytoplankton and their environmental drivers during abnormal algal proliferation in the Danjiangkou Reservoir, we conducted intensive monitoring from July to September 2025. By integrating manual stratified sampling with high-resolution in situ fluorescence profiling, we collected phytoplankton and physicochemical data across multiple water depths. Redundancy analysis, Spearman correlation, and partial least squares path modeling were applied to explore key influencing factors. The results showed that a pronounced thermal stratification dynamic process was discovered throughout the study period. Phytoplankton exhibited a distinct "increase-then-decrease" pattern along the vertical profile, with peak density and biomass generally occurring in the sub-surface layer, driven by variations of water depth and thermocline structure. Dominant taxa, including Aphanocapsa, Raphidiopsis, Leptolyngbya, and Pseudanabaena, primarily resided below the surface, with community succession shifting from Aphanocapsa and Raphidiopsis during the early stage to Leptolyngbya and Pseudanabaena in the later stage of the study period. Correlation and path analysis indicated that water temperature, dissolved oxygen, and other physicochemical factors exerted both direct positive effects on phytoplankton growth and indirect effects via the regulation of nutrient availability. Notably, phosphate concentrations were negatively correlated with phytoplankton density, suggesting potential nutrient limitation during peak proliferation. Overall, thermal stratification, light availability, nutrient conditions, and species-specific traits jointly shape the vertical distribution patterns of phytoplankton. Recommendations for algal monitoring in the Danjiangkou Reservoir should shift from "two-dimensional" to "three-dimensional" approaches, establishing an automated vertical profiling monitoring and early-warning system.