Articles | Volume 7, issue 2
https://doi.org/10.5194/bg-7-763-2010
© Author(s) 2010. 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-7-763-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
25 Feb 2010
Information content of incubation experiments for inverse estimation of pools in the Rothamsted carbon model: a Bayesian perspective
B. Scharnagl
Agrosphere Institute (ICG-4), Forschungszentrum Jülich, 52425 Jülich, Germany
J. A. Vrugt
Center for Nonlinear Studies, Los Alamos National Lab., Los Alamos, NM 87545, USA
Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, The Netherlands
now at: Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, CA 92697, USA
H. Vereecken
Agrosphere Institute (ICG-4), Forschungszentrum Jülich, 52425 Jülich, Germany
M. Herbst
Agrosphere Institute (ICG-4), Forschungszentrum Jülich, 52425 Jülich, Germany
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Cited
27 citations as recorded by crossref.
- Inversely estimating temperature sensitivity of soil carbon decomposition by assimilating a turnover model and long-term field data G. Sakurai et al. https://doi.org/10.1016/j.soilbio.2011.11.005
- Simple pedotransfer functions to initialize reactive carbon pools of the RothC model L. Weihermüller et al. https://doi.org/10.1111/ejss.12036
- Correspondence of measured soil carbon fractions and RothC pools for equilibrium and non-equilibrium states M. Herbst et al. https://doi.org/10.1016/j.geoderma.2017.10.047
- Problems associated to kinetic fitting of incubation data L. Weihermüller et al. https://doi.org/10.1016/j.soilbio.2018.01.017
- Rethinking soil carbon modelling: a stochastic approach to quantify uncertainties D. Clifford et al. https://doi.org/10.1002/env.2271
- Introducing a Decomposition Rate Modifier in the Rothamsted Carbon Model to Predict Soil Organic Carbon Stocks in Saline Soils R. Setia et al. https://doi.org/10.1021/es200515d
- Inverse determination of heterotrophic soil respiration response to temperature and water content under field conditions J. Bauer et al. https://doi.org/10.1007/s10533-011-9583-1
- High‐dimensional posterior exploration of hydrologic models using multiple‐try DREAM(ZS) and high‐performance computing E. Laloy & J. Vrugt https://doi.org/10.1029/2011WR010608
- Effect of methodological consideration on soil carbon parameter estimates obtained via the acid hydrolysis-incubation method G. Sanford & C. Kucharik https://doi.org/10.1016/j.soilbio.2013.09.002
- How to link soil C pools with CO2 fluxes? Y. Kuzyakov https://doi.org/10.5194/bg-8-1523-2011
- Characteristics of soil organic carbon mineralization and influence factor analysis of natural Larix olgensis forest at different ages L. Liu et al. https://doi.org/10.1007/s11676-018-0724-4
- Land use-land cover gradient demonstrates the importance of perennial grasslands with intact soils for building soil carbon in the fertile Mollisols of the North Central US G. Sanford et al. https://doi.org/10.1016/j.geoderma.2022.115854
- Sensitivity of soil organic carbon stocks and fractions to different land-use changes across Europe C. Poeplau & A. Don https://doi.org/10.1016/j.geoderma.2012.08.003
- Multi-site identification of a distributed hydrological nitrogen model using Bayesian uncertainty analysis S. Jiang et al. https://doi.org/10.1016/j.jhydrol.2015.09.009
- Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation J. Vrugt https://doi.org/10.1016/j.envsoft.2015.08.013
- Integrating Multiple-Try DREAM(ZS) to Model-Based Bayesian Geoacoustic Inversion Applied to Seabed Backscattering Strength Measurements B. Zou et al. https://doi.org/10.3390/jmse7100372
- Differential Organic Carbon Mineralization Responses to Soil Moisture in Three Different Soil Orders Under Mixed Forested System S. Singh et al. https://doi.org/10.3389/fenvs.2021.682450
- Bayesian calibration of a soil organic carbon model using Δ14C measurements of soil organic carbon and heterotrophic respiration as joint constraints B. Ahrens et al. https://doi.org/10.5194/bg-11-2147-2014
- Soil carbon changes under Miscanthus driven by C4 accumulation and C3 decompostion – toward a default sequestration function C. Poeplau & A. Don https://doi.org/10.1111/gcbb.12043
- Micro-scale modeling of pesticide degradation coupled to carbon turnover in the detritusphere: model description and sensitivity analysis H. Pagel et al. https://doi.org/10.1007/s10533-013-9851-3
- Substrate quality alters the microbial mineralization of added substrate and soil organic carbon S. Jagadamma et al. https://doi.org/10.5194/bg-11-4665-2014
- Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM(LOA) algorithm J. Vrugt & K. Beven https://doi.org/10.1016/j.jhydrol.2018.02.026
- Organic carbon decomposition rates with depth and contribution of inorganic carbon to CO2 emissions under a Mediterranean agroforestry system R. Cardinael et al. https://doi.org/10.1111/ejss.12908
- Identifying Data Needed to Reduce Parameter Uncertainty in a Coupled Microbial Soil C and N Decomposition Model M. Saifuddin et al. https://doi.org/10.1029/2021JG006593
- Factors controlling soil organic carbon stability along a temperate forest altitudinal gradient Q. Tian et al. https://doi.org/10.1038/srep18783
- Separating soil CO2 efflux into C-pool-specific decay rates via inverse analysis of soil incubation data C. Schädel et al. https://doi.org/10.1007/s00442-012-2577-4
- Modeling the vertical soil organic matter profile using Bayesian parameter estimation M. Braakhekke et al. https://doi.org/10.5194/bg-10-399-2013
27 citations as recorded by crossref.
- Inversely estimating temperature sensitivity of soil carbon decomposition by assimilating a turnover model and long-term field data G. Sakurai et al. https://doi.org/10.1016/j.soilbio.2011.11.005
- Simple pedotransfer functions to initialize reactive carbon pools of the RothC model L. Weihermüller et al. https://doi.org/10.1111/ejss.12036
- Correspondence of measured soil carbon fractions and RothC pools for equilibrium and non-equilibrium states M. Herbst et al. https://doi.org/10.1016/j.geoderma.2017.10.047
- Problems associated to kinetic fitting of incubation data L. Weihermüller et al. https://doi.org/10.1016/j.soilbio.2018.01.017
- Rethinking soil carbon modelling: a stochastic approach to quantify uncertainties D. Clifford et al. https://doi.org/10.1002/env.2271
- Introducing a Decomposition Rate Modifier in the Rothamsted Carbon Model to Predict Soil Organic Carbon Stocks in Saline Soils R. Setia et al. https://doi.org/10.1021/es200515d
- Inverse determination of heterotrophic soil respiration response to temperature and water content under field conditions J. Bauer et al. https://doi.org/10.1007/s10533-011-9583-1
- High‐dimensional posterior exploration of hydrologic models using multiple‐try DREAM(ZS) and high‐performance computing E. Laloy & J. Vrugt https://doi.org/10.1029/2011WR010608
- Effect of methodological consideration on soil carbon parameter estimates obtained via the acid hydrolysis-incubation method G. Sanford & C. Kucharik https://doi.org/10.1016/j.soilbio.2013.09.002
- How to link soil C pools with CO2 fluxes? Y. Kuzyakov https://doi.org/10.5194/bg-8-1523-2011
- Characteristics of soil organic carbon mineralization and influence factor analysis of natural Larix olgensis forest at different ages L. Liu et al. https://doi.org/10.1007/s11676-018-0724-4
- Land use-land cover gradient demonstrates the importance of perennial grasslands with intact soils for building soil carbon in the fertile Mollisols of the North Central US G. Sanford et al. https://doi.org/10.1016/j.geoderma.2022.115854
- Sensitivity of soil organic carbon stocks and fractions to different land-use changes across Europe C. Poeplau & A. Don https://doi.org/10.1016/j.geoderma.2012.08.003
- Multi-site identification of a distributed hydrological nitrogen model using Bayesian uncertainty analysis S. Jiang et al. https://doi.org/10.1016/j.jhydrol.2015.09.009
- Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation J. Vrugt https://doi.org/10.1016/j.envsoft.2015.08.013
- Integrating Multiple-Try DREAM(ZS) to Model-Based Bayesian Geoacoustic Inversion Applied to Seabed Backscattering Strength Measurements B. Zou et al. https://doi.org/10.3390/jmse7100372
- Differential Organic Carbon Mineralization Responses to Soil Moisture in Three Different Soil Orders Under Mixed Forested System S. Singh et al. https://doi.org/10.3389/fenvs.2021.682450
- Bayesian calibration of a soil organic carbon model using Δ14C measurements of soil organic carbon and heterotrophic respiration as joint constraints B. Ahrens et al. https://doi.org/10.5194/bg-11-2147-2014
- Soil carbon changes under Miscanthus driven by C4 accumulation and C3 decompostion – toward a default sequestration function C. Poeplau & A. Don https://doi.org/10.1111/gcbb.12043
- Micro-scale modeling of pesticide degradation coupled to carbon turnover in the detritusphere: model description and sensitivity analysis H. Pagel et al. https://doi.org/10.1007/s10533-013-9851-3
- Substrate quality alters the microbial mineralization of added substrate and soil organic carbon S. Jagadamma et al. https://doi.org/10.5194/bg-11-4665-2014
- Embracing equifinality with efficiency: Limits of Acceptability sampling using the DREAM(LOA) algorithm J. Vrugt & K. Beven https://doi.org/10.1016/j.jhydrol.2018.02.026
- Organic carbon decomposition rates with depth and contribution of inorganic carbon to CO2 emissions under a Mediterranean agroforestry system R. Cardinael et al. https://doi.org/10.1111/ejss.12908
- Identifying Data Needed to Reduce Parameter Uncertainty in a Coupled Microbial Soil C and N Decomposition Model M. Saifuddin et al. https://doi.org/10.1029/2021JG006593
- Factors controlling soil organic carbon stability along a temperate forest altitudinal gradient Q. Tian et al. https://doi.org/10.1038/srep18783
- Separating soil CO2 efflux into C-pool-specific decay rates via inverse analysis of soil incubation data C. Schädel et al. https://doi.org/10.1007/s00442-012-2577-4
- Modeling the vertical soil organic matter profile using Bayesian parameter estimation M. Braakhekke et al. https://doi.org/10.5194/bg-10-399-2013
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