湖泊表层溶解氧对热浪的响应及其生态反馈调控机制

Key Points

• This study aims to understand how lake heatwaves affect dissolved oxygen levels and the underlying mechanisms.
• Integrated field observation data from Taihu Lake (2000–2024) with lake surface temperature data (1950–2022).
• Employed interpretable machine learning models to analyze seasonal responses of dissolved oxygen.
• Observed seasonal differences in dissolved oxygen levels during winter and summer heatwaves.
• Dissolved oxygen is generally lower than normal during winter heatwaves, while summer shows the opposite trend.
• Winter dissolved oxygen levels are mainly affected by temperature, with high temperatures reducing oxygen solubility.
• In summer, high temperatures lower ammonia nitrogen concentrations and turbidity, suppressing oxygen consumption from nitrification and enhancing oxygen production from photosynthesis.