Advancing Soil Carbon Predictions: From Micro to Global Scale
This session will present interdisciplinary insights into soil carbon dynamics, examining how microscale interactions and microbial diversity affect carbon and nutrient cycles. Topics will include empirical data integration, data synthesis, harmonization of datasets, exploration of unifying principles governing nutrient cycling and energy flows, and their responses to environmental perturbations. We will also explore model parameterization challenges, trade-offs in model complexity, optimality based models in trait selection, and hierarchical multi-model approaches for improved climate model scaling. We welcome contributions from global change experiments using time-series metagenomic data and diversity-explicit microbial models, and encourage dialogue between marine and terrestrial research communities.