We applied the Bayesian
probability inversion and a Markov Chain Monte Carlo (MCMC)
technique to a terrestrial ecosystem model and analyzed uncertainties of
estimated carbon transfer coefficients and simulated carbon pool sizes. The
study used six data sets of soil respiration, woody biomass, foliage biomass,
litterfall, carbon content in the litter layers, carbon content in mineral soil
measured under both ambient CO2 (350 ppm) and elevated CO2
(550 ppm) plots from 1996 to 2000 at the Duke Forest Free-Air CO2
Experiment (FACE) site.
Author: Tao Xu, Yiqi Luo (Tao dot Xu-1 at ou dot edu)
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