Land use and land cover change (LULCC) alter carbon, water, energy, and nutrient fluxes, shaping land–atmosphere interactions across scales. Understanding these dynamics is critical for designing effective natural climate solutions, fostering ecosystem stability, and preventing land system transitions towards potential tipping points.

Despite advances in satellite remote sensing and Earth system modeling, uncertainties remain in the representation of LULCC processes, feedbacks, and spatial heterogeneity. Improving process understanding and model fidelity requires closer integration of models and observations, enabled by expanding reanalysis datasets, upcoming CMIP7 simulations, and emerging AI/ML approaches. 

This session invites contributions advancing understanding and quantification of LULCC (e.g., de/reforestation, cropland expansion, irrigation) and associated biogeophysical feedback, including but not limited to:

• Multiscale land–atmosphere coupling mechanisms during extreme events (e.g., heatwave, drought, extreme precipitation)
• Carbon-water-climate interactions  
• Evaluation and attribution of ecosystem–climate feedbacks in CMIP models 
• High-resolution modeling of LULCC impacts
• Hybrid physics–AI/ML approaches to modeling LULCC and its impacts

• A - Atmospheric Sciences
• B - Biogeosciences
• H - Hydrology
• NH - Natural Hazards