Driving factors and predictive model of dissolved N2O concentrations in a complex aquatic network

Key Points

• Dissolved N2O concentrations were significantly influenced by various environmental factors, revealing complex interactions.
• The predictive model demonstrated over 80% accuracy in forecasting N2O levels based on specific aquatic conditions.
• Observational analysis across multiple sites provided insights into the biogeochemical processes affecting N2O concentrations.
• Identifying these driving factors may enable targeted strategies for managing N2O emissions in aquatic systems.