The RothC model is suitable for regional simulations because it
requires a limited number of input data represented by the following
main factors that influence the soil organic carbon turnover:
climate (temperature, rainfall and evaporation), soil texture (clay
content) and crop management. RothC is therefore a suitable tool
for estimating long-term effects of land use and agricultural management,
for assessing the contribution of agriculture to the storage
of soil organic carbon, and also for comparing different
options to preserve the organic carbon levels (e.g., stubble and crop
residues management, crop rotations, exogenous organic matter
inputs, etc.). Mondini et al. (2012) have demonstrated how regional
simulations can be valuable for helping to plan deployment
of scarce organic matter resources such as compost