Analysis of uncertainty of parameters of a decomposition organic matter model: Bayesian approach

Parameters of model of soil organic matter decomposition ROMUL is estimated by means of experiments on a loss of litters of various types. Such experiments are labor-consuming and data obtained are characterized as high variable, and, therefore, model parameterization is concerned with great uncertainty. In the paper we use an approach based on Bayesian estimation which allows to quantify the uncertainty of the parameters in terms of a posterior distribution.