Hydrological connectivity and landscape composition shape nutrient export: Evidence from SWAT and machine learning analysis in the Longxi River Basin

Key Points

• Nutrient export varies significantly due to changes in hydrological connectivity and landscape composition, with observed changes impacting water quality.
• The analysis utilized SWAT and machine learning techniques to evaluate nutrient export dynamics in the Longxi River Basin over time.
• This study highlights the interdependence of hydrological connectivity and landscape composition in determining nutrient transport efficiency.
• Findings support the need for integrated watershed management strategies to mitigate nutrient pollution.