Process-based
models are important tools in assessments because they are able to integrate
mechanisms responsible for changes in carbon storage. Retrospective model
analyses are important for clarifying land use impacts on carbon storage
estimates. The objectives of our study were to: 1) develop a land use model
that allows annual conversion of native ecosystems to agriculture and creation
of age cohorts following harvest and cropland abandonment from 1600 to 2002; 2)
compare modeled age class distribution with independent inventory data on stand
age distributions, and 3) use these data sets to drive the Terrestrial
Ecosystem Model (TEM) and evaluate how assumptions about soil degradation and
CO2 fertilization influence estimates of changes in carbon storage
of the eastern US.
Author: L.A. Joyce, A.D. McGuire, D.P. Coulson, J. Clein, T. Bumside (ljoyce at fs dot fed dot us)
Filesize: 15.12 Kb
