Spatiotemporal Dynamics of Fish Density in a Deep-Water Reservoir: Hydroacoustic Assessment of Aggregation Patterns and Key Drivers DOI Creative Commons
Zihao Meng, Feifei Hu, Miao Xiang

et al.

Animals, Journal Year: 2025, Volume and Issue: 15(7), P. 1068 - 1068

Published: April 7, 2025

Understanding spatiotemporal patterns of fish density and their environmental drivers is critical for managing river-lake ecosystems, yet dynamic interactions in heterogeneous habitats remain poorly quantified. This study combined hydroacoustic surveys, spatial autocorrelation analysis (Moran's I), generalized additive models (GAMs) to investigate seasonal distribution, aggregation characteristics, regulatory mechanisms China's Zhelin Reservoir. The results reveal pronounced fluctuations, with summer peaking at 13.70 ± 0.91 ind./1000 m3 declining 1.95 0.13 winter. Spatial heterogeneity was evident, the Xiuhe region sustaining highest (15.69 1.09 m3) persistent hotspots upstream bays. Transient high-density clusters (90-99% confidence) near Dam during suggested thermal or hydrodynamic disturbances. GAM (R2adj = 0.712, 78.5% deviance explained) identified transitions (12.26% variance), water depth (16.54%), conductivity (13.75%), dissolved oxygen (13.29%) as dominant drivers, nonlinear responses bimodal conductivity/oxygen. These findings demonstrate that hydrological seasonality habitat jointly govern aggregation, underscoring ecological priority bays core habitats. provides a mechanistic framework guiding reservoir management, including targeted conservation, dam operation adjustments mitigate impacts, integrated strategies balancing needs similar ecosystems.

Language: Английский

Spatiotemporal Dynamics of Fish Density in a Deep-Water Reservoir: Hydroacoustic Assessment of Aggregation Patterns and Key Drivers DOI Creative Commons
Zihao Meng, Feifei Hu, Miao Xiang

et al.

Animals, Journal Year: 2025, Volume and Issue: 15(7), P. 1068 - 1068

Published: April 7, 2025

Understanding spatiotemporal patterns of fish density and their environmental drivers is critical for managing river-lake ecosystems, yet dynamic interactions in heterogeneous habitats remain poorly quantified. This study combined hydroacoustic surveys, spatial autocorrelation analysis (Moran's I), generalized additive models (GAMs) to investigate seasonal distribution, aggregation characteristics, regulatory mechanisms China's Zhelin Reservoir. The results reveal pronounced fluctuations, with summer peaking at 13.70 ± 0.91 ind./1000 m3 declining 1.95 0.13 winter. Spatial heterogeneity was evident, the Xiuhe region sustaining highest (15.69 1.09 m3) persistent hotspots upstream bays. Transient high-density clusters (90-99% confidence) near Dam during suggested thermal or hydrodynamic disturbances. GAM (R2adj = 0.712, 78.5% deviance explained) identified transitions (12.26% variance), water depth (16.54%), conductivity (13.75%), dissolved oxygen (13.29%) as dominant drivers, nonlinear responses bimodal conductivity/oxygen. These findings demonstrate that hydrological seasonality habitat jointly govern aggregation, underscoring ecological priority bays core habitats. provides a mechanistic framework guiding reservoir management, including targeted conservation, dam operation adjustments mitigate impacts, integrated strategies balancing needs similar ecosystems.

Language: Английский

Citations

0