Articles | Volume 13, issue 4
https://doi.org/10.5194/bg-13-887-2016
© 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-13-887-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Feb 2016
Research article |
| 18 Feb 2016
Responses of two nonlinear microbial models to warming and increased carbon input
CSIRO Ocean and Atmosphere, PMB 1, Aspendale, Victoria 3195,
Australia
J. Jiang
Department of Ecology and Evolutionary Biology,
University of Tennessee, Knoxville, TN 37996, USA
B. Chen-Charpentier
Department of
Mathematics, University of Texas, Arlington, TX, USA
F. B. Agusto
Department
of Mathematics and Statistics, Austin Peay State University, Clarksville
TN 37044, USA
A. Hastings
Department of Environmental Science and Policy,
University of California, One Shields Avenue, Davis, CA 95616, USA
F. Hoffman
Oak Ridge National Laboratory, Computational Earth Sciences Group,
P.O. Box 2008, Oak Ridge, TN 37831, USA
M. Rasmussen
Department of Mathematics,
Imperial College, London, UK
M. J. Smith
Computational Science Laboratory,
Microsoft Research, Cambridge, UK
K. Todd-Brown
Department of Microbiology and
Plant Biology, University of Oklahoma, Norman, OK,
USA
Pacific Northwest National Laboratory, Richland,
WA, USA
Y. Wang
Department of Mathematics, University of Oklahoma, Norman,
OK, USA
X. Xu
Department of Microbiology and
Plant Biology, University of Oklahoma, Norman, OK,
USA
Y. Q. Luo
Department of Microbiology and
Plant Biology, University of Oklahoma, Norman, OK,
USA
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Cited
21 citations as recorded by crossref.
- A Comparison of Linear Conventional and Nonlinear Microbial Models for Simulating Pulse Dynamics of Soil Heterotrophic Respiration in a Semi‐Arid Grassland J. Zhou et al. 10.1029/2020JG006120
- Matrix Approach to Land Carbon Cycle Modeling Y. Luo et al. 10.1029/2022MS003008
- Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models Z. Wang et al. 10.1002/ldr.4679
- Global-change controls on soil-carbon accumulation and loss in coastal vegetated ecosystems A. Spivak et al. 10.1038/s41561-019-0435-2
- Optimizing duration of incubation experiments for understanding soil carbon decomposition X. Guan et al. 10.1016/j.geoderma.2022.116225
- Microbial community-level regulation explains soil carbon responses to long-term litter manipulations K. Georgiou et al. 10.1038/s41467-017-01116-z
- The Millennial model: in search of measurable pools and transformations for modeling soil carbon in the new century R. Abramoff et al. 10.1007/s10533-017-0409-7
- Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands H. Zhou et al. 10.1016/j.agrformet.2021.108506
- Model structures amplify uncertainty in predicted soil carbon responses to climate change Z. Shi et al. 10.1038/s41467-018-04526-9
- Microbial Controls on the Biogeochemical Dynamics in the Subsurface M. Thullner & P. Regnier 10.2138/rmg.2019.85.9
- When and why microbial-explicit soil organic carbon models can be unstable E. Schwarz et al. 10.5194/bg-21-3441-2024
- Stoichiometrically coupled carbon and nitrogen cycling in the MIcrobial-MIneral Carbon Stabilization model version 1.0 (MIMICS-CN v1.0) E. Kyker-Snowman et al. 10.5194/gmd-13-4413-2020
- Ephemeral microbial responses to pulses of bioavailable carbon in oxic and anoxic salt marsh soils A. Spivak et al. 10.1016/j.soilbio.2023.109157
- Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications Y. Luo et al. 10.5194/bg-14-145-2017
- Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models S. Hashimoto et al. 10.5194/gmd-10-1321-2017
- ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition Y. Huang et al. 10.5194/gmd-11-2111-2018
- Integrating McGill Wetland Model (MWM) with peat cohort tracking and microbial controls S. Shao et al. 10.1016/j.scitotenv.2021.151223
- Higher climatological temperature sensitivity of soil carbon in cold than warm climates C. Koven et al. 10.1038/nclimate3421
- More replenishment than priming loss of soil organic carbon with additional carbon input J. Liang et al. 10.1038/s41467-018-05667-7
- Explicitly representing soil microbial processes in Earth system models W. Wieder et al. 10.1002/2015GB005188
- Estimating of terrestrial carbon storage and its internal carbon exchange under equilibrium state Z. Wang 10.1016/j.ecolmodel.2019.03.008
19 citations as recorded by crossref.
- A Comparison of Linear Conventional and Nonlinear Microbial Models for Simulating Pulse Dynamics of Soil Heterotrophic Respiration in a Semi‐Arid Grassland J. Zhou et al. 10.1029/2020JG006120
- Matrix Approach to Land Carbon Cycle Modeling Y. Luo et al. 10.1029/2022MS003008
- Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models Z. Wang et al. 10.1002/ldr.4679
- Global-change controls on soil-carbon accumulation and loss in coastal vegetated ecosystems A. Spivak et al. 10.1038/s41561-019-0435-2
- Optimizing duration of incubation experiments for understanding soil carbon decomposition X. Guan et al. 10.1016/j.geoderma.2022.116225
- Microbial community-level regulation explains soil carbon responses to long-term litter manipulations K. Georgiou et al. 10.1038/s41467-017-01116-z
- The Millennial model: in search of measurable pools and transformations for modeling soil carbon in the new century R. Abramoff et al. 10.1007/s10533-017-0409-7
- Relative importance of climatic variables, soil properties and plant traits to spatial variability in net CO2 exchange across global forests and grasslands H. Zhou et al. 10.1016/j.agrformet.2021.108506
- Model structures amplify uncertainty in predicted soil carbon responses to climate change Z. Shi et al. 10.1038/s41467-018-04526-9
- Microbial Controls on the Biogeochemical Dynamics in the Subsurface M. Thullner & P. Regnier 10.2138/rmg.2019.85.9
- When and why microbial-explicit soil organic carbon models can be unstable E. Schwarz et al. 10.5194/bg-21-3441-2024
- Stoichiometrically coupled carbon and nitrogen cycling in the MIcrobial-MIneral Carbon Stabilization model version 1.0 (MIMICS-CN v1.0) E. Kyker-Snowman et al. 10.5194/gmd-13-4413-2020
- Ephemeral microbial responses to pulses of bioavailable carbon in oxic and anoxic salt marsh soils A. Spivak et al. 10.1016/j.soilbio.2023.109157
- Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications Y. Luo et al. 10.5194/bg-14-145-2017
- Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models S. Hashimoto et al. 10.5194/gmd-10-1321-2017
- ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition Y. Huang et al. 10.5194/gmd-11-2111-2018
- Integrating McGill Wetland Model (MWM) with peat cohort tracking and microbial controls S. Shao et al. 10.1016/j.scitotenv.2021.151223
- Higher climatological temperature sensitivity of soil carbon in cold than warm climates C. Koven et al. 10.1038/nclimate3421
- More replenishment than priming loss of soil organic carbon with additional carbon input J. Liang et al. 10.1038/s41467-018-05667-7
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Latest update: 13 Dec 2024
Short summary
Comparing two nonlinear microbial models, we found that,
in response to warming, soil C decreases in one model but can increase or decrease in the other model, and sensitivity of priming response to carbon input increases with soil T in one model but decreases in the other model
Significance: these differences in the responses can be used to discern which model is more realistic, which will improve our understanding of the significance of soil microbial processes in the terrestrial C cycle.
Comparing two nonlinear microbial models, we found that,
in response to warming, soil C...
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