Resource utilization and microbial community evolution in anaerobic digestion effluent containing heavy metal Zn via eco-remediation technology based on a PBR algal-bacterial symbiosis system.

Nitrogen source forms govern ammonia assimilation and nitrogen retention through ammonium supply dynamics during composting.

Effect of water diversion flow on water quality improvement and saturation threshold in urban plain river networks.

Insights into photosynthetic bacteria-bioaugmented wastewater treatment systems: Low-carbon performance and microbial synergistic mechanisms.

Biofouling control by quorum quenching bacteria in membrane bioreactors for high strength wastewater treatment with doubled flux.

The interactions between land use and water quality play critical roles in shaping benthic macroinvertebrate biodiversity in rivers. However, existing studies struggle to effectively identify nonlinear interactions between land use and water quality. This study integrates Random Forest and SHapley Additive exPlanations to create a robust framework that identifies the nonlinear interactions among variables. Applied to the Fu River basin, a primary tributary of Poyang Lake, China, our framework identified season-specific drivers: Ammonia Nitrogen and Shannon's diversity landscape index dominated community dynamics in the wet season, while Hydrogen ion concentration and Forest were key in the dry season. Interactive analyses revealed that during the wet season, total phosphorus (TP) and cropland cover formed the most influential pair, with synergistic effects (i.e., combined impact > sum of individual effects). Notably, cropland coverage modulated TP’s impact on benthic diversity: low cropland cover favored positive effects of TP, which diminished as TP concentrations increased to 0.04 mg/L, whereas high cropland cover triggered negative effects that intensified with rising TP and stabilized at 0.10 mg/L. During the dry season, conductivity (Cond) and forest cover emerged as the most impactful pair, also exhibiting synergistic effects. Forest cover modulated Cond’s influence on benthic diversity: under high forest cover, low Cond exerted positive effects that weakened with increasing Cond to 60 μs/cm; under low forest cover, moderate Cond induced increasingly negative effects that plateaued at 80 μs/cm. This study provides a robust approach to decipher context-dependent environmental interactions, offering valuable insights for river ecological conservation and adaptive management. • Decoded nonlinear interactions of water quality/land use on benthic biodiversity in rivers. • NH 3 -N & SHDI/pH & forest dominate the biodiversity during wet/dry season. • TP-Cropland/Conductivity-Forest synergy amplifies impacts during wet/dry season.

Large reservoirs are human-managed ecosystems where microbial communities play pivotal roles in nutrient cycling and ecological stability. However, the mechanisms underlying microbial multistability and stress-induced functional shifts remain inadequately understood. Here, we employed a one-year high-resolution time-series 16S rRNA gene amplicon high-throughput sequencing dataset from the Danjiangkou Reservoir(China) to characterize the alternative stable states(ASS) of microbial communities. Two distinct ASSs were identified: State A, dominated by Cyanobacteria and Actinobacteriota, is characterized by higher alpha diversity, strong local connectivity, and phototrophy-driven energy acquisition. In contrast, State B, dominated by Bacteroidota and Proteobacteria, exhibits enhanced network modularity and functional resilience, supported by robust nitrogen and carbon cycling. Dissolved oxygen, temperature, and ammonia nitrogen were identified as the key environmental stressors regulating state transitions, with distinct thresholds and hysteresis phenomena elucidated via stability-landscape analysis. Functional prediction and structural equation modeling further confirmed that environmental stress reorganizes microbial metabolism pathways from light-dependent processes to nitrogen-cycling- dominated processes, which is mediated by alterations in microbial diversity and network stability. Collectively, these findings provide critical empirical evidence for microbial multistability and stress-driven regime shifts in large reservoirs. This work thereby informs adaptive water quality management strategies for large drinking water reservoirs, pivotal for mitigating nutrient pollution, safeguarding water security, and promoting sustainable freshwater ecosystem management.

Phosphorus source-sink distributions and fluxes in shallow-water wetland sediments: Insights from multiple habitats, varying water quality, and microbial communities.

Neural network-based prediction of water contamination dynamics in a rapidly developing tropical region

Enhanced silver carp to bighead carp ratios provide greater regulatory benefits for water quality in shallow subtropical lakes.

Enhancing hydrological regulation and nitrogen removal capacity of bioretention cells using Portland cement-modified sludge fillers.

Effects of soil carbon, nitrogen, and phosphorus contents and microbial characteristics on the quality of Datong daylily and hyperspectral diagnosis

Life cycle assessment of membrane electrochemical systems for ammonia nitrogen recovery from wastewater.

Deciphering EPS and microbial roles in nitrogen removal and sludge characteristics in AGS systems under different volume exchange ratios.

Size-dependent regulation of iron transport and nitrogen metabolism by nanoscale zero-valent iron in heterotrophic nitrifying-aerobic denitrifying bacteria.

Effects of dietary allicin supplementation on nutrient digestion and gastrointestinal health of Guizhou black goats.

Water-quality responses and management-oriented spatial thresholds in a complex river-estuary continuum.

Modeling ammonia nitrogen dynamics coupled with fish growth physiology in recirculating aquaculture systems

Modeling the in-water concentrations of ammonia if spilled into coastal and marine waters.

Purification mechanisms of bioretention cells coupled with microbial fuel cells at low temperatures: Insights from power generation, nutrient removal, and microbial metabolism.