Bayesian calibration as a tool for initialising the carbon pools of dynamic soil models

• Published in: Soil biology & biochemistry Vol. 41; no. 12; pp. 2579 - 2583
• Main Authors: Yeluripati, Jagadeesh B., van Oijen, Marcel, Wattenbach, Martin, Neftel, A., Ammann, A., Parton, W.J., Smith, Pete
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 01.12.2009; Elsevier
• Subjects: agricultural history; Agronomy. Soil science and plant productions; algorithms; Bayesian calibration; Bayesian theory; Biochemistry and biology; Biological and medical sciences; calibration; Chemical, physicochemical, biochemical and biological properties; Fundamental and applied biological sciences. Psychology; Grassland soils; grasslands; Initialization; land management; land use; mathematical models; model initialization; Modelling; Organic matter; Physics, chemistry, biochemistry and biology of agricultural and forest soils; simulation models; soil carbon pools; soil organic matter; soil respiration; Soil science; Switzerland; Switzerland; Initialization; Bayesian calibration; Organic matter; Modelling; Grassland soils; Carbon cycle; Bayes estimation; Soil science; Calibration; Dynamic model; Modeling; Grassland soil

The most widely applied soil carbon models partition the soil organic carbon into two or more kinetically defined conceptual pools. The initial distribution of soil organic matter between these pools influences the simulations. Like many other soil organic carbon models, the DAYCENT model is initial...