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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46 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
- 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
- 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
- Carbon sequestration in the subsoil and the time required to stabilize carbon for climate change mitigation C. Sierra et al. 10.1111/gcb.17153
- Priming and substrate quality interactions in soil organic matter models T. Wutzler & M. Reichstein 10.5194/bg-10-2089-2013
- Historical trends and drivers of the laterally transported terrestrial dissolved organic carbon to river systems M. Nakhavali et al. 10.1016/j.scitotenv.2024.170560
- Effects of climate change and land management on soil organic carbon dynamics and carbon leaching in northwestern Europe M. Stergiadi et al. 10.5194/bg-13-1519-2016
- Improving understanding of soil organic matter dynamics by triangulating theories, measurements, and models J. Blankinship et al. 10.1007/s10533-018-0478-2
- Year-round simulated methane emissions from a permafrost ecosystem in Northeast Siberia K. Castro-Morales et al. 10.5194/bg-15-2691-2018
- Deep SOC stock dynamics under contrasting management systems: Is the EPIC model ready for carbon farming implementation? M. Longo et al. 10.1016/j.eja.2023.126771
- Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models S. Hashimoto et al. 10.5194/gmd-10-1321-2017
- Long residence times of rapidly decomposable soil organic matter: application of a multi-phase, multi-component, and vertically resolved model (BAMS1) to soil carbon dynamics W. Riley et al. 10.5194/gmd-7-1335-2014
- 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
- Mathematical Modeling of the Dynamics of Plant Mineral Nutrition in the Fertilizer–Soil–Plant System V. Chetyrbotskiy et al. 10.1134/S0006350920060032
- Mycorrhiza-feeding soil invertebrates in two coniferous forests traced with 13C labelling A. Zuev et al. 10.1007/s00572-023-01102-y
- Mathematical Functions to Model the Depth Distribution of Soil Organic Carbon in a Range of Soils from New South Wales, Australia under Different Land Uses B. Murphy et al. 10.3390/soilsystems3030046
- 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
- Current developments in soil organic matter modeling and the expansion of model applications: a review E. Campbell & K. Paustian 10.1088/1748-9326/10/12/123004
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- 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
- Depth Distributions of Belowground Production, Biomass and Decomposition in Restored Tallgrass Prairie A. VON HADEN & M. DORNBUSH 10.1016/S1002-0160(17)60455-7
- 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
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- ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe M. Camino-Serrano et al. 10.5194/gmd-11-937-2018
- Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM(LOA) algorithm J. Vrugt & K. Beven 10.1016/j.jhydrol.2018.02.026
- Process‐Oriented Modeling of a High Arctic Tundra Ecosystem: Long‐Term Carbon Budget and Ecosystem Responses to Interannual Variations of Climate W. Zhang et al. 10.1002/2017JG003956
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- Conventional intensive logging promotes loss of organic carbon from the mineral soil C. Dean et al. 10.1111/gcb.13387
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- Using litter chemistry controls on microbial processes to partition litter carbon fluxes with the Litter Decomposition and Leaching (LIDEL) model E. Campbell et al. 10.1016/j.soilbio.2016.06.007
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- Predicting the long‐term fate of buried organic carbon in colluvial soils Z. Wang et al. 10.1002/2014GB004912
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