The estimation of LUC and the resulting GHG emissions
is accomplished through the marriage of LUC data
with aboveground carbon and soil organic carbon
(SOC) data for each of the land types affected. The
amounts and types of land converted as a result of
increased biofuel production can be estimated with an
agricultural-economic model, for example, a computable
general equilibrium (CGE) model; several recent
reports [6,7] provide an overview of CGE models and
their application to estimating LUC associated with biofuel
production. It is also necessary to know the aboveground
and belowground carbon content of the land in
its original state and in its future state as feedstock production
land. Aboveground carbon content information
is provided by databases that are often built on satellite
data [8], while SOC content can be modelled with tools
such as CENTURY