Soil respiration dynamics: understanding and predicting soil CO₂ flux of dry deciduous forest ecosystem in India using Q₁₀ models and random forest

Key Points

• Soil respiration data indicates significant CO₂ flux variations tied to temperature changes in the forest ecosystem.
• Measurements recorded revealed a maximum CO₂ flux of 450 mg CO₂ m² h⁻¹, showcasing the dynamic soil respiration behavior.
• Analysis using random forest algorithms effectively models soil CO₂ dynamics and predicts responses to environmental changes.
• Results highlight the importance of understanding soil respiration for carbon cycling, with implications for climate change mitigation.