Articles | Volume 6, issue 1
https://doi.org/10.5194/gmd-6-29-2013
© 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/gmd-6-29-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
08 Jan 2013
Development and technical paper |
| 08 Jan 2013
Sensitivity analysis and calibration of a soil carbon model (SoilGen2) in two contrasting loess forest soils
Y. Y. Yu
Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Science, 100029, Beijing, China
P. A. Finke
Department of Geology and Soil Science, University of Ghent, Krijgslaan 281, 9000 Ghent, Belgium
H. B. Wu
Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Science, 100029, Beijing, China
Z. T. Guo
Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of Science, 100029, Beijing, China
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Cited
15 citations as recorded by crossref.
- Simulating soil organic carbon stock as affected by land use and climate change on volcanic soils in Indonesia S. Anindita et al. https://doi.org/10.1016/j.geodrs.2023.e00698
- Assessing the usage potential of SoilGen2 to predict clay translocation under forest and agricultural land uses P. Finke et al. https://doi.org/10.1111/ejss.12190
- Modeling soil genesis at pedon and landscape scales: Achievements and problems E. Opolot et al. https://doi.org/10.1016/j.quaint.2014.02.017
- Environmental comprehensive assessment of agricultural systems at the farm level using fuzzy logic: A case study in cane farms in Iran M. Sami et al. https://doi.org/10.1016/j.envsoft.2014.02.014
- Evaluating SoilGen2 as a tool for projecting soil evolution induced by global change S. Keyvanshokouhi et al. https://doi.org/10.1016/j.scitotenv.2016.07.119
- On the effect of model parameters on forecast objects C. Marzban et al. https://doi.org/10.5194/gmd-11-1577-2018
- Soil modeling for soil loss tolerance estimations: Exploring natural baselines and long-term variations K. Ranathunga et al. https://doi.org/10.1016/j.gloplacha.2021.103548
- Can SOC modelling be improved by accounting for pedogenesis? P. Finke et al. https://doi.org/10.1016/j.geoderma.2018.10.018
- Modelling long-term soil organic carbon sequestration under varying environmental drivers and internal protection mechanisms – towards a digital twin W. van der Meij & P. Finke https://doi.org/10.5194/soil-12-165-2026
- Resolving the integral connection between pedogenesis and landscape evolution B. Minasny et al. https://doi.org/10.1016/j.earscirev.2015.07.004
- Excursions to C4 vegetation recorded in the Upper Pleistocene loess of Surduk (Northern Serbia): an organic isotope geochemistry study C. Hatté et al. https://doi.org/10.5194/cp-9-1001-2013
- Evaluating sensitivity of silicate mineral dissolution rates to physical weathering using a soil evolution model (SoilGen2.25) E. Opolot & P. Finke https://doi.org/10.5194/bg-12-6791-2015
- Erosion, deposition and soil carbon: A review of process-level controls, experimental tools and models to address C cycling in dynamic landscapes S. Doetterl et al. https://doi.org/10.1016/j.earscirev.2015.12.005
- Calibrating SoilGen2 for interglacial soil evolution in the Chinese Loess Plateau considering soil parameters and the effect of dust addition rhythm K. Ranathunga et al. https://doi.org/10.1016/j.quaint.2021.08.019
- Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates G. Ceriotti et al. https://doi.org/10.1007/s00477-020-01868-z
15 citations as recorded by crossref.
- Simulating soil organic carbon stock as affected by land use and climate change on volcanic soils in Indonesia S. Anindita et al. https://doi.org/10.1016/j.geodrs.2023.e00698
- Assessing the usage potential of SoilGen2 to predict clay translocation under forest and agricultural land uses P. Finke et al. https://doi.org/10.1111/ejss.12190
- Modeling soil genesis at pedon and landscape scales: Achievements and problems E. Opolot et al. https://doi.org/10.1016/j.quaint.2014.02.017
- Environmental comprehensive assessment of agricultural systems at the farm level using fuzzy logic: A case study in cane farms in Iran M. Sami et al. https://doi.org/10.1016/j.envsoft.2014.02.014
- Evaluating SoilGen2 as a tool for projecting soil evolution induced by global change S. Keyvanshokouhi et al. https://doi.org/10.1016/j.scitotenv.2016.07.119
- On the effect of model parameters on forecast objects C. Marzban et al. https://doi.org/10.5194/gmd-11-1577-2018
- Soil modeling for soil loss tolerance estimations: Exploring natural baselines and long-term variations K. Ranathunga et al. https://doi.org/10.1016/j.gloplacha.2021.103548
- Can SOC modelling be improved by accounting for pedogenesis? P. Finke et al. https://doi.org/10.1016/j.geoderma.2018.10.018
- Modelling long-term soil organic carbon sequestration under varying environmental drivers and internal protection mechanisms – towards a digital twin W. van der Meij & P. Finke https://doi.org/10.5194/soil-12-165-2026
- Resolving the integral connection between pedogenesis and landscape evolution B. Minasny et al. https://doi.org/10.1016/j.earscirev.2015.07.004
- Excursions to C4 vegetation recorded in the Upper Pleistocene loess of Surduk (Northern Serbia): an organic isotope geochemistry study C. Hatté et al. https://doi.org/10.5194/cp-9-1001-2013
- Evaluating sensitivity of silicate mineral dissolution rates to physical weathering using a soil evolution model (SoilGen2.25) E. Opolot & P. Finke https://doi.org/10.5194/bg-12-6791-2015
- Erosion, deposition and soil carbon: A review of process-level controls, experimental tools and models to address C cycling in dynamic landscapes S. Doetterl et al. https://doi.org/10.1016/j.earscirev.2015.12.005
- Calibrating SoilGen2 for interglacial soil evolution in the Chinese Loess Plateau considering soil parameters and the effect of dust addition rhythm K. Ranathunga et al. https://doi.org/10.1016/j.quaint.2021.08.019
- Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates G. Ceriotti et al. https://doi.org/10.1007/s00477-020-01868-z
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