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.
Research article
| 
24 Jan 2013
Research article |
| 24 Jan 2013
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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- On the use of the post-closure methods uncertainty band to evaluate the performance of land surface models against eddy covariance flux data J. Ingwersen et al. 10.5194/bg-12-2311-2015
- Transient leaf endophytes are the most active fungi in 1-year-old beech leaf litter M. Guerreiro et al. 10.1007/s13225-017-0390-4
- Representation of dissolved organic carbon in the JULES land surface model (vn4.4_JULES-DOCM) M. Nakhavali et al. 10.5194/gmd-11-593-2018
- The relationship between soil microbial activity and microbial biomass, soil structure and grassland management J. Cui & N. Holden 10.1016/j.still.2014.07.005
- Changes in soil organic matter and soil humic substances following the afforestation of former agricultural lands in the boreal-nemoral ecotone (Latvia) I. Kukuļs et al. 10.1016/j.geodrs.2019.e00213
- Bayesian integration of flux tower data into a process-based simulator for quantifying uncertainty in simulated output R. Raj et al. 10.5194/gmd-11-83-2018
- Altitudinal Change in Distribution of Soil Carbon and Nitrogen in Tibetan Montane Forests R. Chang et al. 10.2136/sssaj2015.02.0055
- Assessing soil organic carbon and its relation with biophysical and ecological parameters in tropical forest ecosystem India H. Sajjad et al. 10.1080/10106049.2024.2441388
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- The overlooked soil carbon under large, old trees C. Dean et al. 10.1016/j.geoderma.2020.114541
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