Articles | Volume 13, issue 10
https://doi.org/10.5194/bg-13-3003-2016
© Author(s) 2016. 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-13-3003-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Parametrization consequences of constraining soil organic matter models by total carbon and radiocarbon using long-term field data
Lorenzo Menichetti
CORRESPONDING AUTHOR
Agroscope, Climate/Air Pollution Group,
Reckenholzstrasse 191, 8046 Zürich, Switzerland
Thomas Kätterer
Department of Ecology, Swedish University of Agricultural Sciences (SLU), P.O. Box 7044, 75007 Uppsala, Sweden
Jens Leifeld
Agroscope, Climate/Air Pollution Group,
Reckenholzstrasse 191, 8046 Zürich, Switzerland
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Cited
13 citations as recorded by crossref.
- Consequences of planned afforestation versus natural forest regrowth after disturbance for soil C stocks in Eastern European mountains L. Menichetti et al. 10.1016/j.geoderma.2017.02.028
- DRIFTS band areas as measured pool size proxy to reduce parameter uncertainty in soil organic matter models M. Laub et al. 10.5194/bg-17-1393-2020
- A model based on Rock-Eval thermal analysis to quantify the size of the centennially persistent organic carbon pool in temperate soils L. Cécillon et al. 10.5194/bg-15-2835-2018
- Evaluation of the RothC model as a prognostic tool for the prediction of SOC trends in response to management practices on arable land R. Dechow et al. 10.1016/j.geoderma.2018.10.001
- Large uncertainty in soil carbon modelling related to method of calculation of plant carbon input in agricultural systems S. Keel et al. 10.1111/ejss.12454
- Bayesian calibration of the ICBM/3 soil organic carbon model constrained by data from long-term experiments and uncertainties of C inputs L. Menichetti et al. 10.1080/17583004.2024.2304749
- Modelling of long-term Zn, Cu, Cd and Pb dynamics from soils fertilised with organic amendments C. Cagnarini et al. 10.5194/soil-7-107-2021
- Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy A. Elshall et al. 10.5194/gmd-12-2009-2019
- Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE M. Camino‐Serrano et al. 10.1029/2018MS001392
- Modelling the genesis of equatorial podzols: age and implications for carbon fluxes C. Doupoux et al. 10.5194/bg-14-2429-2017
- Multi‐objective calibration of RothC using measured carbon stocks and auxiliary data of a long‐term experiment in Switzerland C. Cagnarini et al. 10.1111/ejss.12802
- Multi-model ensemble improved the prediction of trends in soil organic carbon stocks in German croplands C. Riggers et al. 10.1016/j.geoderma.2019.03.014
- The one-week and six-month reliability and variability of three-dimensional tibial acceleration in runners K. Sheerin et al. 10.1080/14763141.2017.1371214
12 citations as recorded by crossref.
- Consequences of planned afforestation versus natural forest regrowth after disturbance for soil C stocks in Eastern European mountains L. Menichetti et al. 10.1016/j.geoderma.2017.02.028
- DRIFTS band areas as measured pool size proxy to reduce parameter uncertainty in soil organic matter models M. Laub et al. 10.5194/bg-17-1393-2020
- A model based on Rock-Eval thermal analysis to quantify the size of the centennially persistent organic carbon pool in temperate soils L. Cécillon et al. 10.5194/bg-15-2835-2018
- Evaluation of the RothC model as a prognostic tool for the prediction of SOC trends in response to management practices on arable land R. Dechow et al. 10.1016/j.geoderma.2018.10.001
- Large uncertainty in soil carbon modelling related to method of calculation of plant carbon input in agricultural systems S. Keel et al. 10.1111/ejss.12454
- Bayesian calibration of the ICBM/3 soil organic carbon model constrained by data from long-term experiments and uncertainties of C inputs L. Menichetti et al. 10.1080/17583004.2024.2304749
- Modelling of long-term Zn, Cu, Cd and Pb dynamics from soils fertilised with organic amendments C. Cagnarini et al. 10.5194/soil-7-107-2021
- Bayesian inference and predictive performance of soil respiration models in the presence of model discrepancy A. Elshall et al. 10.5194/gmd-12-2009-2019
- Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE M. Camino‐Serrano et al. 10.1029/2018MS001392
- Modelling the genesis of equatorial podzols: age and implications for carbon fluxes C. Doupoux et al. 10.5194/bg-14-2429-2017
- Multi‐objective calibration of RothC using measured carbon stocks and auxiliary data of a long‐term experiment in Switzerland C. Cagnarini et al. 10.1111/ejss.12802
- Multi-model ensemble improved the prediction of trends in soil organic carbon stocks in German croplands C. Riggers et al. 10.1016/j.geoderma.2019.03.014
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Short summary
Soil organic carbon dynamics are crucial for the global greenhouse gas balance, but their complexity is difficult to model and understand. We therefore often rely on radiocarbon measurements for calibrating models, but their effect on our understanding of the processes is still unclear. We calibrated five model structures on data from a long-term Swiss field experiment in a Bayesian framework to assess the effect of radiocarbon on the parameter and structural uncertainty of a soil carbon model.
Soil organic carbon dynamics are crucial for the global greenhouse gas balance, but their...
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