Articles | Volume 11, issue 6
https://doi.org/10.5194/gmd-11-2111-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-2111-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
08 Jun 2018
Model description paper |
| 08 Jun 2018
| 08 Jun 2018
ORCHIMIC (v1.0), a microbe-mediated model for soil organic matter decomposition
Ye Huang
CORRESPONDING AUTHOR
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Bertrand Guenet
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Philippe Ciais
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Ivan A. Janssens
University of Antwerp, Department of Biology, 2610 Wilrijk, Belgium
Jennifer L. Soong
University of Antwerp, Department of Biology, 2610 Wilrijk, Belgium
Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
Yilong Wang
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Daniel Goll
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
Evgenia Blagodatskaya
Department of Agricultural Soil Science, University of Göttingen,
Büsgenweg 2, 37077 Göttingen, Germany
Institute of Physicochemical and Biological Problems in Soil Science,
142290 Pushchino, Russia
Yuanyuan Huang
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL,
CEA-CNRS-UVSQ, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
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Cited
34 citations as recorded by crossref.
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- Open Science principles for accelerating trait-based science across the Tree of Life R. Gallagher et al. 10.1038/s41559-020-1109-6
- Assessing Impacts of Plant Stoichiometric Traits on Terrestrial Ecosystem Carbon Accumulation Using the E3SM Land Model Q. Zhu et al. 10.1029/2019MS001841
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- Emergent properties of organic matter decomposition by soil enzymes B. Wang & S. Allison 10.1016/j.soilbio.2019.107522
- Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient L. Yu et al. 10.3389/ffgc.2020.543112
- A Microbial‐Explicit Soil Organic Carbon Decomposition Model (MESDM): Development and Testing at a Semiarid Grassland Site X. Zhang et al. 10.1029/2021MS002485
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- Exploring Temperature-Related Effects in Catch Crop Net N Mineralization Outside of First-Order Kinetics J. Miranda-Vélez & I. Vogeler 10.3390/nitrogen2020008
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- Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0) T. Wutzler et al. 10.5194/gmd-15-8377-2022
- Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients R. Abramoff et al. 10.1029/2018GB006001
- Microbial Models for Simulating Soil Carbon Dynamics: A Review A. Chandel et al. 10.1029/2023JG007436
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- Improving a Biogeochemical Model to Simulate Microbial‐Mediated Carbon Dynamics in Agricultural Ecosystems J. Deng et al. 10.1029/2021MS002752
- Modeling ecosystem-scale carbon dynamics in soil: The microbial dimension J. Schimel 10.1016/j.soilbio.2023.108948
- Identifying Data Needed to Reduce Parameter Uncertainty in a Coupled Microbial Soil C and N Decomposition Model M. Saifuddin et al. 10.1029/2021JG006593
34 citations as recorded by crossref.
- 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
- Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions S. Chadburn et al. 10.1029/2020GB006678
- 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
- Microbial Controls on the Biogeochemical Dynamics in the Subsurface M. Thullner & P. Regnier 10.2138/rmg.2019.85.9
- Open Science principles for accelerating trait-based science across the Tree of Life R. Gallagher et al. 10.1038/s41559-020-1109-6
- Assessing Impacts of Plant Stoichiometric Traits on Terrestrial Ecosystem Carbon Accumulation Using the E3SM Land Model Q. Zhu et al. 10.1029/2019MS001841
- Pore‐scale modeling of microbial activity: What we have and what we need A. Golparvar et al. 10.1002/vzj2.20087
- Microbial carbon limitation: The need for integrating microorganisms into our understanding of ecosystem carbon cycling J. Soong et al. 10.1111/gcb.14962
- Approaches and concepts of modelling denitrification: increased process understanding using observational data can reduce uncertainties S. Del Grosso et al. 10.1016/j.cosust.2020.07.003
- A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration J. Tang & W. Riley 10.1029/2018JG004779
- Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land‐Surface Model ORCHIDEE M. Camino‐Serrano et al. 10.1029/2018MS001392
- Spatial Control of Carbon Dynamics in Soil by Microbial Decomposer Communities H. Pagel et al. 10.3389/fenvs.2020.00002
- Microbial dynamics and soil physicochemical properties explain large‐scale variations in soil organic carbon H. Zhang et al. 10.1111/gcb.14994
- How Has the Hazard to Humans of Microorganisms Found in Atmospheric Aerosol in the South of Western Siberia Changed over 10 Years? A. Safatov et al. 10.3390/ijerph17051651
- Increased Soil Fertility in Tea Gardens Leads to Declines in Fungal Diversity and Complexity in Subsoils P. Yan et al. 10.3390/agronomy12081751
- Modeling the effects of litter stoichiometry and soil mineral N availability on soil organic matter formation using CENTURY-CUE (v1.0) H. Zhang et al. 10.5194/gmd-11-4779-2018
- Emergent properties of organic matter decomposition by soil enzymes B. Wang & S. Allison 10.1016/j.soilbio.2019.107522
- Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient L. Yu et al. 10.3389/ffgc.2020.543112
- A Microbial‐Explicit Soil Organic Carbon Decomposition Model (MESDM): Development and Testing at a Semiarid Grassland Site X. Zhang et al. 10.1029/2021MS002485
- Modeling boreal forest soil dynamics with the microbially explicit soil model MIMICS+ (v1.0) E. Aas et al. 10.5194/gmd-17-2929-2024
- Integrating McGill Wetland Model (MWM) with peat cohort tracking and microbial controls S. Shao et al. 10.1016/j.scitotenv.2021.151223
- Exploring Temperature-Related Effects in Catch Crop Net N Mineralization Outside of First-Order Kinetics J. Miranda-Vélez & I. Vogeler 10.3390/nitrogen2020008
- Modelling the Rhizosphere Priming Effect in Combination with Soil Food Webs to Quantify Interaction between Living Plant, Soil Biota and Soil Organic Matter O. Chertov et al. 10.3390/plants11192605
- 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
- Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0 Y. Huang et al. 10.1029/2020GB006836
- Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes L. Yu et al. 10.5194/gmd-13-783-2020
- Competitor and substrate sizes and diffusion together define enzymatic depolymerization and microbial substrate uptake rates J. Tang & W. Riley 10.1016/j.soilbio.2019.107624
- Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0) T. Wutzler et al. 10.5194/gmd-15-8377-2022
- Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients R. Abramoff et al. 10.1029/2018GB006001
- Microbial Models for Simulating Soil Carbon Dynamics: A Review A. Chandel et al. 10.1029/2023JG007436
- Warming but Not Nitrogen Addition Alters the Linear Relationship Between Microbial Respiration and Biomass H. Wei et al. 10.3389/fmicb.2019.01055
- Improving a Biogeochemical Model to Simulate Microbial‐Mediated Carbon Dynamics in Agricultural Ecosystems J. Deng et al. 10.1029/2021MS002752
- Modeling ecosystem-scale carbon dynamics in soil: The microbial dimension J. Schimel 10.1016/j.soilbio.2023.108948
- Identifying Data Needed to Reduce Parameter Uncertainty in a Coupled Microbial Soil C and N Decomposition Model M. Saifuddin et al. 10.1029/2021JG006593
Latest update: 26 Jul 2024
Short summary
ORCHIMIC is a modeling effort trying to improve the representation of SOC dynamics in Earth system models (ESM). It has a structure that can be easily incorporated into CENTURY-based ESMs. In ORCHIMIC, key microbial dynamics (i.e., enzyme production, enzymatic decomposition and microbial dormancy) are included. The ORCHIMIC model can also reproduce the observed temporal dynamics of respiration and priming effects; thus it is an improved tool for climate projections and SOC response predictions.
ORCHIMIC is a modeling effort trying to improve the representation of SOC dynamics in Earth...
