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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47 citations as recorded by crossref.
- Bayesian calibration of a soil organic carbon model using Δ<sup>14</sup>C measurements of soil organic carbon and heterotrophic respiration as joint constraints B. Ahrens et al. 10.5194/bg-11-2147-2014
- Fungal guilds are evenly distributed along a vertical spruce forest soil profile while individual fungi show pronounced niche partitioning D. Peršoh et al. 10.1007/s11557-018-1405-6
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- 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
- Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM(LOA) algorithm J. Vrugt & K. Beven 10.1016/j.jhydrol.2018.02.026
- Organic carbon decomposition rates with depth and contribution of inorganic carbon to CO2emissions under a Mediterranean agroforestry system R. Cardinael et al. 10.1111/ejss.12908
- Modelling soil bulk density at the landscape scale and its contributions to C stock uncertainty K. Taalab et al. 10.5194/bg-10-4691-2013
- The overlooked soil carbon under large, old trees C. Dean et al. 10.1016/j.geoderma.2020.114541
- Conventional intensive logging promotes loss of organic carbon from the mineral soil C. Dean et al. 10.1111/gcb.13387
- Balancing multiple constraints in model‐data integration: Weights and the parameter block approach T. Wutzler & N. Carvalhais 10.1002/2014JG002650
- C-TOOL: A simple model for simulating whole-profile carbon storage in temperate agricultural soils A. Taghizadeh-Toosi et al. 10.1016/j.ecolmodel.2014.08.016
- Simulating measurable ecosystem carbon and nitrogen dynamics with the mechanistically defined MEMS 2.0 model Y. Zhang et al. 10.5194/bg-18-3147-2021
- Predicting the long‐term fate of buried organic carbon in colluvial soils Z. Wang et al. 10.1002/2014GB004912
- Tamm Review: Deep fine roots in forest ecosystems: Why dig deeper? A. Germon et al. 10.1016/j.foreco.2020.118135
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- Methods for estimating temperature sensitivity of soil organic matter based on incubation data: A comparative evaluation J. Liang et al. 10.1016/j.soilbio.2014.10.005
- Magnetosensitive neurons mediate geomagnetic orientation in Caenorhabditis elegans A. Vidal-Gadea et al. 10.7554/eLife.07493
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