To properly model carbon (C) sequestration capacity and its spatial
pattern in the conterminous USA,
the model parameters of C turnover times should be identified. In this study,
we inversed the C turnover times based on a process-based model that combining
Carnegie-Ames-Stanford Approach (CASA
model) and vegetation and soil carbon transfer (VAST)
model. The genetic algorithm was used in this study to search for optimal parameters
of C turnover times. After inversing the spatial pattern of C turnover times,
we modeled the carbon sequestration capacity by using a forward model under
current NPP increase trend that derived from satellite data.
Author: T. Zhou, and Y. Luo (tzhou at ou dot edu)
Filesize: 174.10 Kb