Articles | Volume 7, issue 3
https://doi.org/10.5194/esd-7-649-2016
© 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/esd-7-649-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
29 Jul 2016
Research article |
| 29 Jul 2016
Divergent predictions of carbon storage between two global land models: attribution of the causes through traceability analysis
Rashid Rafique
CORRESPONDING AUTHOR
Department of Microbiology and Plant Biology, University
of Oklahoma, Norman, OK, USA
Joint Global Change Research Institute, Pacific Northwest National
Lab, College Park, MD, USA
Jianyang Xia
Department of Microbiology and Plant Biology, University
of Oklahoma, Norman, OK, USA
School of Ecological and Environmental Science, East China Normal University, Shanghai, China
Oleksandra Hararuk
Department of Microbiology and Plant Biology, University
of Oklahoma, Norman, OK, USA
Pacific Forestry Centre, Victoria, BC, Canada
Ghassem R. Asrar
Joint Global Change Research Institute, Pacific Northwest National
Lab, College Park, MD, USA
Guoyong Leng
Joint Global Change Research Institute, Pacific Northwest National
Lab, College Park, MD, USA
Yingping Wang
CSIRO Ocean and Atmosphere Flagship, PMB 1, Aspendale, Victoria 3195, Australia
Yiqi Luo
CORRESPONDING AUTHOR
Department of Microbiology and Plant Biology, University
of Oklahoma, Norman, OK, USA
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Cited
10 citations as recorded by crossref.
- Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis Z. Du et al. https://doi.org/10.5194/gmd-11-4399-2018
- Improved ELMv1-ECA simulations of zero-curtain periods and cold-season CH4 and CO2 emissions at Alaskan Arctic tundra sites J. Tao et al. https://doi.org/10.5194/tc-15-5281-2021
- Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5 X. Lu et al. https://doi.org/10.1029/2020MS002105
- Across‐model spread and shrinking in predicting peatland carbon dynamics under global change E. Hou et al. https://doi.org/10.1111/gcb.16643
- Tree biomass allocation differs by mycorrhizal association F. Jevon & A. Lang https://doi.org/10.1002/ecy.3688
- Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia https://doi.org/10.3389/fevo.2023.1105832
- Sources of Uncertainty in Modeled Land Carbon Storage within and across Three MIPs: Diagnosis with Three New Techniques S. Zhou et al. https://doi.org/10.1175/JCLI-D-17-0357.1
- Net primary productivity orchestrates uncertainty sources driving global soil organic carbon under land use change C. Gang et al. https://doi.org/10.1038/s43247-026-03312-6
- Soil nutrients affect production and biomass allocation at the individual tree level in Populus deltoides X. Li et al. https://doi.org/10.1007/s11104-026-08503-w
- Matrix Approach to Land Carbon Cycle Modeling Y. Luo et al. https://doi.org/10.1029/2022MS003008
10 citations as recorded by crossref.
- Carbon–nitrogen coupling under three schemes of model representation: a traceability analysis Z. Du et al. https://doi.org/10.5194/gmd-11-4399-2018
- Improved ELMv1-ECA simulations of zero-curtain periods and cold-season CH4 and CO2 emissions at Alaskan Arctic tundra sites J. Tao et al. https://doi.org/10.5194/tc-15-5281-2021
- Full Implementation of Matrix Approach to Biogeochemistry Module of CLM5 X. Lu et al. https://doi.org/10.1029/2020MS002105
- Across‐model spread and shrinking in predicting peatland carbon dynamics under global change E. Hou et al. https://doi.org/10.1111/gcb.16643
- Tree biomass allocation differs by mycorrhizal association F. Jevon & A. Lang https://doi.org/10.1002/ecy.3688
- Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia https://doi.org/10.3389/fevo.2023.1105832
- Sources of Uncertainty in Modeled Land Carbon Storage within and across Three MIPs: Diagnosis with Three New Techniques S. Zhou et al. https://doi.org/10.1175/JCLI-D-17-0357.1
- Net primary productivity orchestrates uncertainty sources driving global soil organic carbon under land use change C. Gang et al. https://doi.org/10.1038/s43247-026-03312-6
- Soil nutrients affect production and biomass allocation at the individual tree level in Populus deltoides X. Li et al. https://doi.org/10.1007/s11104-026-08503-w
- Matrix Approach to Land Carbon Cycle Modeling Y. Luo et al. https://doi.org/10.1029/2022MS003008
Saved (final revised paper)
Latest update: 13 Aug 2026
Short summary
Traceability analysis was used to diagnose the causes of differences in simulating ecosystem carbon storage capacity between two land models: CLMA-CASA and CABLE. Results showed that the simulated ecosystem carbon storage capacity is largely influenced by the photosynthesis parameterization, residence time and organic matter decomposition.
Traceability analysis was used to diagnose the causes of differences in simulating ecosystem...
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