Articles | Volume 12, issue 14
https://doi.org/10.5194/bg-12-4373-2015
© Author(s) 2015. 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-12-4373-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Convergent modelling of past soil organic carbon stocks but divergent projections
Z. Luo
CORRESPONDING AUTHOR
CSIRO Agriculture Flagship, GPO Box 1666, Canberra, ACT 2601, Australia
E. Wang
CORRESPONDING AUTHOR
CSIRO Agriculture Flagship, GPO Box 1666, Canberra, ACT 2601, Australia
CSIRO Land and Water Flagship, GPO Box 1666, Canberra, ACT 2601, Australia
J. A. Baldock
CSIRO Agriculture Flagship, PMB 2, Glen Osmond, SA 5064, Australia
O. J. Sun
Institute of Forestry and Climate Change Research, Beijing Forestry University, Beijing 100083, China
Q. Shao
CSIRO Digital Productivity & Services Flagship, Private Bag 5, Wembley, WA 6913, Australia
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- Near‐Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub‐Arctic Watershed I. Shirley et al. 10.1029/2022JG006864
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- 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
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- Warming‐induced global soil carbon loss attenuated by downward carbon movement Z. Luo et al. 10.1111/gcb.15370
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- Soil carbon simulation confounded by different pool initialisation J. Lee & R. Viscarra Rossel 10.1007/s10705-019-10041-0
- Mineral properties, microbes, transport, and plant-input profiles control vertical distribution and age of soil carbon stocks D. Dwivedi et al. 10.1016/j.soilbio.2016.12.019
- Modelling the dynamic physical protection of soil organic carbon: Insights into carbon predictions and explanation of the priming effect Z. Luo et al. 10.1111/gcb.13793
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- Mapping future soil carbon change and its uncertainty in croplands using simple surrogates of a complex farming system model Z. Luo et al. 10.1016/j.geoderma.2018.09.041
- 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
- Box–Behnken experimental design for the optimization of Basic Violet 03 dye removal by groundnut shell derived biochar J. Jegan et al. 10.5004/dwt.2021.26495
- Opportunities for enhancing yield and soil carbon sequestration while reducing N2O emissions in rainfed cropping systems Z. Luo et al. 10.1016/j.agrformet.2016.09.008
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- Soil organic carbon dynamics jointly controlled by climate, carbon inputs, soil properties and soil carbon fractions Z. Luo et al. 10.1111/gcb.13767
- Detailed global modelling of soil organic carbon in cropland, grassland and forest soils T. Morais et al. 10.1371/journal.pone.0222604
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- Emergent temperature sensitivity of soil organic carbon driven by mineral associations K. Georgiou et al. 10.1038/s41561-024-01384-7
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- Modelling soybean and maize growth and grain yield in strip intercropping systems with different row configurations Y. Wu et al. 10.1016/j.fcr.2021.108122
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Latest update: 13 Dec 2024
Short summary
Soil carbon models are primary tools for projecting soil carbon balance under changing environment and management. This study shows that the carbon model produces divergent projections but accurate reproduction of measured soil carbon. This projection uncertainty is mainly due to an insufficient understanding of microbial processes and soil carbon composition. Climate conditions and land management in terms of carbon input also have significant effects.
Soil carbon models are primary tools for projecting soil carbon balance under changing...
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