Articles | Volume 11, issue 7
https://doi.org/10.5194/bg-11-1817-2014
© Author(s) 2014. 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-11-1817-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Oscillatory behavior of two nonlinear microbial models of soil carbon decomposition
Y. P. Wang
CSIRO Marine and Atmospheric Research Private Bag 1, Aspendale, Vic 3195, Australia
B. C. Chen
Department of Mathematics, University of Texas, Arlington, Texas, USA
W. R. Wieder
The National Center for Atmospheric Research, Boulder, Colorado, USA
M. Leite
Department of Mathematics and Statistics, University of Toledo, Toledo, USA
B. E. Medlyn
Department of Biological Sciences, Faculty of Science, Macquarie University, NSW 2109, Australia
M. Rasmussen
Department of Mathematics, Imperial College, London, UK
M. J. Smith
Computational Science Laboratory, Microsoft Research, Cambridge, UK
F. B. Agusto
Department of Mathematics and Statistics, Austin Peay State University, Clarksville TN37044, USA
F. Hoffman
Oak Ridge National Laboratory, Computational Earth Sciences Group, P.O. Box 2008, Oak Ridge, TN 37831, USA
Y. Q. Luo
Department of Microbiology and Plant Biology, University of Oklahoma, Norman, Oklahoma, USA
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54 citations as recorded by crossref.
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- Optimizing duration of incubation experiments for understanding soil carbon decomposition X. Guan et al. 10.1016/j.geoderma.2022.116225
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- No till soil organic carbon sequestration could be overestimated when slope effect is not considered A. Novara et al. 10.1016/j.scitotenv.2020.143758
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- Linear Autonomous Compartmental Models as Continuous-Time Markov Chains: Transit-Time and Age Distributions H. Metzler & C. Sierra 10.1007/s11004-017-9690-1
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- C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter J. Sainte-Marie et al. 10.1038/s41467-021-21079-6
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- 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. 10.1007/s00477-020-01868-z
- Physical, Chemical and Biological Effects on Soil Bacterial Dynamics in Microscale Models S. König et al. 10.3389/fevo.2020.00053
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- Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications Y. Luo et al. 10.5194/bg-14-145-2017
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- Microbe-iron interactions control lignin decomposition in soil C. Liao et al. 10.1016/j.soilbio.2022.108803
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49 citations as recorded by crossref.
- Matrix Approach to Land Carbon Cycle Modeling Y. Luo et al. 10.1029/2022MS003008
- Biotic responses buffer warming‐induced soil organic carbon loss in Arctic tundra J. Liang et al. 10.1111/gcb.14325
- Microbial dynamics and soil physicochemical properties explain large‐scale variations in soil organic carbon H. Zhang et al. 10.1111/gcb.14994
- Generic parameters of first-order kinetics accurately describe soil organic matter decay in bare fallow soils over a wide edaphic and climatic range L. Menichetti et al. 10.1038/s41598-019-55058-1
- Biological mechanisms may contribute to soil carbon saturation patterns M. Craig et al. 10.1111/gcb.15584
- Explicitly representing soil microbial processes in Earth system models W. Wieder et al. 10.1002/2015GB005188
- Overview: Global change effects on terrestrial biogeochemistry at the plant–soil interface L. Fuchslueger et al. 10.5194/bg-21-3959-2024
- Representing life in the Earth system with soil microbial functional traits in the MIMICS model W. Wieder et al. 10.5194/gmd-8-1789-2015
- Contribution of sorption, DOC transport and microbial interactions to the 14C age of a soil organic carbon profile: Insights from a calibrated process model B. Ahrens et al. 10.1016/j.soilbio.2015.06.008
- Applying population and community ecology theory to advance understanding of belowground biogeochemistry R. Buchkowski et al. 10.1111/ele.12712
- 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
- Estimating of terrestrial carbon storage and its internal carbon exchange under equilibrium state Z. Wang 10.1016/j.ecolmodel.2019.03.008
- More replenishment than priming loss of soil organic carbon with additional carbon input J. Liang et al. 10.1038/s41467-018-05667-7
- Microbial stoichiometry overrides biomass as a regulator of soil carbon and nitrogen cycling R. Buchkowski et al. 10.1890/14-1327.1
- Fast microbes regulate slow soil feedbacks E. Pendall 10.1038/s41558-018-0291-x
- Optimizing duration of incubation experiments for understanding soil carbon decomposition X. Guan et al. 10.1016/j.geoderma.2022.116225
- Scale-Dependent Performance of CMIP5 Earth System Models in Simulating Terrestrial Vegetation Carbon* L. Jiang et al. 10.1175/JCLI-D-14-00270.1
- No till soil organic carbon sequestration could be overestimated when slope effect is not considered A. Novara et al. 10.1016/j.scitotenv.2020.143758
- The Terrestrial Carbon Sink T. Keenan & C. Williams 10.1146/annurev-environ-102017-030204
- Model formulation of microbial CO2 production and efficiency can significantly influence short and long term soil C projections F. Ballantyne IV & S. Billings 10.1038/s41396-018-0085-1
- Linear Autonomous Compartmental Models as Continuous-Time Markov Chains: Transit-Time and Age Distributions H. Metzler & C. Sierra 10.1007/s11004-017-9690-1
- Data-driven ENZYme (DENZY) model represents soil organic carbon dynamics in forests impacted by nitrogen deposition Y. Chen et al. 10.1016/j.soilbio.2019.107575
- C-STABILITY an innovative modeling framework to leverage the continuous representation of organic matter J. Sainte-Marie et al. 10.1038/s41467-021-21079-6
- Microbial Models for Simulating Soil Carbon Dynamics: A Review A. Chandel et al. 10.1029/2023JG007436
- Toward more realistic projections of soil carbon dynamics by Earth system models Y. Luo et al. 10.1002/2015GB005239
- 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. 10.1007/s00477-020-01868-z
- Physical, Chemical and Biological Effects on Soil Bacterial Dynamics in Microscale Models S. König et al. 10.3389/fevo.2020.00053
- Nitrogen limitation on land: how can it occur in Earth system models? R. Thomas et al. 10.1111/gcb.12813
- Microbial community-level regulation explains soil carbon responses to long-term litter manipulations K. Georgiou et al. 10.1038/s41467-017-01116-z
- Developing systems theory in soil agroecology: incorporating heterogeneity and dynamic instability N. Medina & J. Vandermeer 10.3389/fenvs.2023.1171194
- Incorporating microbial dormancy dynamics into soil decomposition models to improve quantification of soil carbon dynamics of northern temperate forests Y. He et al. 10.1002/2015JG003130
- Coupling of microbial-explicit model and machine learning improves the prediction and turnover process simulation of soil organic carbon X. Xu et al. 10.1016/j.csag.2024.100001
- Comparing models of microbial–substrate interactions and their response to warming D. Sihi et al. 10.5194/bg-13-1733-2016
- Model structures amplify uncertainty in predicted soil carbon responses to climate change Z. Shi et al. 10.1038/s41467-018-04526-9
- Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications Y. Luo et al. 10.5194/bg-14-145-2017
- Microbial dynamics in a High Arctic glacier forefield: a combined field, laboratory, and modelling approach J. Bradley et al. 10.5194/bg-13-5677-2016
- Predictability of the terrestrial carbon cycle Y. Luo et al. 10.1111/gcb.12766
- SOC-reactivity analysis for a newly defined class of two-dimensional soil organic carbon dynamics F. Diele et al. 10.1016/j.apm.2023.01.015
- Equifinality, sloppiness, and emergent structures of mechanistic soil biogeochemical models G. Marschmann et al. 10.1016/j.envsoft.2019.104518
- When and why microbial-explicit soil organic carbon models can be unstable E. Schwarz et al. 10.5194/bg-21-3441-2024
- Microbial Activity and Root Carbon Inputs Are More Important than Soil Carbon Diffusion in Simulating Soil Carbon Profiles Y. Wang et al. 10.1029/2020JG006205
- 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
- Improved model simulation of soil carbon cycling by representing the microbially derived organic carbon pool X. Fan et al. 10.1038/s41396-021-00914-0
- Theoretical insights from upscaling Michaelis–Menten microbial dynamics in biogeochemical models: a dimensionless approach C. Wilson & S. Gerber 10.5194/bg-18-5669-2021
- A general mathematical framework for representing soil organic matter dynamics C. Sierra & M. Müller 10.1890/15-0361.1
- Non-Standard Discrete RothC Models for Soil Carbon Dynamics F. Diele et al. 10.3390/axioms10020056
- Using litter chemistry controls on microbial processes to partition litter carbon fluxes with the Litter Decomposition and Leaching (LIDEL) model E. Campbell et al. 10.1016/j.soilbio.2016.06.007
- Microbe-iron interactions control lignin decomposition in soil C. Liao et al. 10.1016/j.soilbio.2022.108803
- Responses of two nonlinear microbial models to warming and increased carbon input Y. Wang et al. 10.5194/bg-13-887-2016
5 citations as recorded by crossref.
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- Uncertainty in the fate of soil organic carbon: A comparison of three conceptually different decomposition models at a larch plantation Y. He et al. 10.1002/2014JG002701
- Plant diversity increases soil microbial activity and soil carbon storage M. Lange et al. 10.1038/ncomms7707
- Substantial uncertainties in global soil organic carbon simulated by multiple terrestrial carbon cycle models Z. Wang et al. 10.1002/ldr.4679
- Soil carbon sensitivity to temperature and carbon use efficiency compared across microbial-ecosystem models of varying complexity J. Li et al. 10.1007/s10533-013-9948-8
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