30 year means of differences in MC2 outputs

Climate change has significant effects on critical ecosystem functions such as carbon and water cycling.Vegetation and especially forest ecosystems play an important role in the carbon and hydrological cycles.Vegetation models that include detailed belowground processes require accurate soil data to decrease uncertainty and increase realism in their simulations. The MC2 DGVM uses three modules to simulate biogeography, biogeochemistry and fire effects, all three of which use soil data either directly or
indirectly. This study includes a correlation analysis of the MC2 model to soil depth by comparing a subset
of the model’s carbon and hydrological outputs using soil depth data of different scales and qualities. The
results show that the model is very sensitive to soil depth in simulations of carbon and hydrological
variables, but competing algorithms make the fire module less sensitive to changes in soil depth.