me4soc: a multi-model ensemble interface for soil organic carbon predictions

Model predictions are essential to understand how climate and land management affect soil organic carbon (SOC) stocks and greenhouse gases (GHGs). However, large uncertainties remain, and multi-model ensembles are a key approach to account for the uncertainty associated with model structure.We present me4soc (Multi-model Ensemble interface for Soil Organic Carbon predictions), an open-source web application designed to simulate SOC stocks and GHG fluxes at mineral-soil forest sites under varying climate, land-use, and management scenarios. The platform runs six SOC models, using either user-supplied observations or preprocessed open-access European datasets. Simulations incorporate projections from Earth System Models to account for future climate and land-use trajectories. Developed in Shiny (R), me4soc simulates the temporal dynamics of site-level SOC stocks and GHG emissions and allows to quantify the uncertainty linked to model structure. It is intended for researchers and forest managers to support decision-making by examining how climate-smart management can affect forest soils through changes in plant litter inputs.