Articles | Volume 16, issue 4
https://doi.org/10.5194/bg-16-917-2019
https://doi.org/10.5194/bg-16-917-2019
Research article
 | 
27 Feb 2019
Research article |  | 27 Feb 2019

Evaluating the simulated mean soil carbon transit times by Earth system models using observations

Jing Wang, Jianyang Xia, Xuhui Zhou, Kun Huang, Jian Zhou, Yuanyuan Huang, Lifen Jiang, Xia Xu, Junyi Liang, Ying-Ping Wang, Xiaoli Cheng, and Yiqi Luo

Related authors

Root zone in the Earth system
Hongkai Gao, Markus Hrachowitz, Lan Wang-Erlandsson, Fabrizio Fenicia, Qiaojuan Xi, Jianyang Xia, Wei Shao, Ge Sun, and Hubert Savenije
EGUsphere, https://doi.org/10.5194/egusphere-2024-332,https://doi.org/10.5194/egusphere-2024-332, 2024
Short summary
An ensemble estimate of Australian soil organic carbon using machine learning and process-based modelling
Lingfei Wang, Gab Abramowitz, Ying-Ping Wang, Andy Pitman, and Raphael Viscarra Rossel
EGUsphere, https://doi.org/10.5194/egusphere-2023-3016,https://doi.org/10.5194/egusphere-2023-3016, 2024
Short summary
Global patterns and drivers of phosphorus fractions in natural soils
Xianjin He, Laurent Augusto, Daniel S. Goll, Bruno Ringeval, Ying-Ping Wang, Julian Helfenstein, Yuanyuan Huang, and Enqing Hou
Biogeosciences, 20, 4147–4163, https://doi.org/10.5194/bg-20-4147-2023,https://doi.org/10.5194/bg-20-4147-2023, 2023
Short summary
Assessing carbon storage capacity and saturation across six central US grasslands using data–model integration
Kevin R. Wilcox, Scott L. Collins, Alan K. Knapp, William Pockman, Zheng Shi, Melinda D. Smith, and Yiqi Luo
Biogeosciences, 20, 2707–2725, https://doi.org/10.5194/bg-20-2707-2023,https://doi.org/10.5194/bg-20-2707-2023, 2023
Short summary
Modeling biochar effects on soil organic carbon on croplands in the MIMICS (MIcrobial-MIneral Carbon Stabilization) model
Mengjie Han, Qing Zhao, Xili Wang, Ying-Ping Wang, Philippe Ciais, Haicheng Zhang, Daniel S. Goll, Lei Zhu, Zhe Zhao, Zhixuan Guo, Chen Wang, Wei Zhuang, Fengchang Wu, and Wei Li
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-114,https://doi.org/10.5194/gmd-2023-114, 2023
Revised manuscript under review for GMD
Short summary

Related subject area

Biogeochemistry: Modelling, Terrestrial
Non-steady-state stomatal conductance modeling and its implications: from leaf to ecosystem
Ke Liu, Yujie Wang, Troy S. Magney, and Christian Frankenberg
Biogeosciences, 21, 1501–1516, https://doi.org/10.5194/bg-21-1501-2024,https://doi.org/10.5194/bg-21-1501-2024, 2024
Short summary
Modelled forest ecosystem carbon–nitrogen dynamics with integrated mycorrhizal processes under elevated CO2
Melanie A. Thurner, Silvia Caldararu, Jan Engel, Anja Rammig, and Sönke Zaehle
Biogeosciences, 21, 1391–1410, https://doi.org/10.5194/bg-21-1391-2024,https://doi.org/10.5194/bg-21-1391-2024, 2024
Short summary
A chemical kinetics theory for interpreting the non-monotonic temperature dependence of enzymatic reactions
Jinyun Tang and William J. Riley
Biogeosciences, 21, 1061–1070, https://doi.org/10.5194/bg-21-1061-2024,https://doi.org/10.5194/bg-21-1061-2024, 2024
Short summary
Using Free Air CO2 Enrichment data to constrain land surface model projections of the terrestrial carbon cycle
Nina Raoult, Louis-Axel Edouard-Rambaut, Nicolas Vuichard, Vladislav Bastrikov, Anne Sofie Lansø, Bertrand Guenet, and Philippe Peylin
Biogeosciences, 21, 1017–1036, https://doi.org/10.5194/bg-21-1017-2024,https://doi.org/10.5194/bg-21-1017-2024, 2024
Short summary
Multiscale assessment of North American terrestrial carbon balance
Kelsey T. Foster, Wu Sun, Yoichi P. Shiga, Jiafu Mao, and Anna M. Michalak
Biogeosciences, 21, 869–891, https://doi.org/10.5194/bg-21-869-2024,https://doi.org/10.5194/bg-21-869-2024, 2024
Short summary

Cited articles

Ahlström, A., Raupach, M. R., Schurgers, G., Smith, B., Arneth, A., Jung, M., Reichstein, M., Canadell, J. G., Friedlingstein, P., Jain, A. K., and Kato, E.: The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink, Science, 348, 895–899, https://doi.org/10.1126/science.aaa1668, 2015. 
Allison, S. D., Matthew, D. W., and Mark, A. B.: Soil-carbon response to warming dependent on microbial physiology, Nat. Geosci., 3, 336–340, https://doi.org/10.1038/ngeo846, 2010. 
Balesdent, J., Mariotti, A., and Guillet, B.: Natural 13C abundance as a tracer for studies of soil organic matter dynamics, Soil Biol. Biochem., 19, 25–30, https://doi.org/10.1016/0038-0717(87)90120-9, 1987. 
Bernstein, L., Bosch, P., Canziani, O., Chen, Z., Christ, R., and Riahi, K.: IPCC, 2007: Climate Change 2007: Synthesis Report, 2008. 
Bloom, A. A., Exbrayat, J. F., van der Velde, I. R., Feng, L., and Williams, M.: The decadal state of the terrestrial carbon cycle: Global retrievals of terrestrial carbon allocation, pools, and residence times, P. Natl. Acad. Sci. USA, 113, 1285–1290, https://doi.org/10.1073/pnas.1515160113, 2016. 
Download
Short summary
Soil is critical in mitigating climate change mainly because soil carbon turns over much slower in soils than vegetation and the atmosphere. However, Earth system models (ESMs) have large uncertainty in simulating carbon dynamics due to their biased estimation of soil carbon transit time (τsoil). Here, the τsoil estimates from 12 ESMs that participated in CMIP5 were evaluated by a database of measured τsoil. We detected a large spatial variation in measured τsoil across the globe.
Altmetrics
Final-revised paper
Preprint