Articles | Volume 10, issue 1
https://doi.org/10.5194/bg-10-399-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-10-399-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Modeling the vertical soil organic matter profile using Bayesian parameter estimation
M. C. Braakhekke
Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany
Wageningen University, Department of Environmental Sciences, Earth System Science and Climate Change Group, P.O. Box 47, 6700AA Wageningen, the Netherlands
International Max Planck Research School on Earth System Modelling, Hamburg, Germany
T. Wutzler
Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany
C. Beer
Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany
J. Kattge
Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany
M. Schrumpf
Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany
B. Ahrens
Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany
I. Schöning
Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany
M. R. Hoosbeek
Wageningen University, Department of Environmental Sciences, Earth System Science and Climate Change Group, P.O. Box 47, 6700AA Wageningen, the Netherlands
B. Kruijt
Wageningen University, Department of Environmental Sciences, Earth System Science and Climate Change Group, P.O. Box 47, 6700AA Wageningen, the Netherlands
P. Kabat
Wageningen University, Department of Environmental Sciences, Earth System Science and Climate Change Group, P.O. Box 47, 6700AA Wageningen, the Netherlands
M. Reichstein
Max Planck Institute for Biogeochemistry, P.O. Box 100164, 07701 Jena, Germany
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