Articles | Volume 13, issue 2
https://doi.org/10.5194/gmd-13-783-2020
© Author(s) 2020. 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-13-783-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Jena Soil Model (JSM v1.0; revision 1934): a microbial soil organic carbon model integrated with nitrogen and phosphorus processes
Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745 Jena, Germany
Bernhard Ahrens
Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745 Jena, Germany
Thomas Wutzler
Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745 Jena, Germany
Marion Schrumpf
Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745 Jena, Germany
International Max Planck Research School (IMPRS) for Global Biogeochemical Cycles, Jena, Germany
Sönke Zaehle
Max Planck Institute for Biogeochemistry, Hans-Knöll Str. 10, 07745 Jena, Germany
International Max Planck Research School (IMPRS) for Global Biogeochemical Cycles, Jena, Germany
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32 citations as recorded by crossref.
- Exploring the driving forces and digital mapping of soil biological properties in semi-arid regions A. Esmaeilizad et al. 10.1016/j.compag.2024.108831
- Modelled forest ecosystem carbon–nitrogen dynamics with integrated mycorrhizal processes under elevated CO2 M. Thurner et al. 10.5194/bg-21-1391-2024
- Reviews and syntheses: Ironing out wrinkles in the soil phosphorus cycling paradigm C. McConnell et al. 10.5194/bg-17-5309-2020
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- Improved representation of phosphorus exchange on soil mineral surfaces reduces estimates of phosphorus limitation in temperate forest ecosystems L. Yu et al. 10.5194/bg-20-57-2023
- On the modeling paradigm of plant root nutrient acquisition J. Tang & W. Riley 10.1007/s11104-020-04798-5
- Modellering av biogeokjemiske prosesser i den norske klimamodellen NorESM T. Berntsen 10.18261/issn.1504-3118-2021-05-06
- Contribution of Incorporating the Phosphorus Cycle into TRIPLEX-CNP to Improve the Quantification of Land Carbon Cycle J. Ding et al. 10.3390/land11060778
- Microbial Models for Simulating Soil Carbon Dynamics: A Review A. Chandel et al. 10.1029/2023JG007436
- Effects of rising CO2 levels on carbon sequestration are coordinated above and below ground A. Bastos & K. Fleischer 10.1038/d41586-021-00737-1
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- Tradeoffs and Synergies in Tropical Forest Root Traits and Dynamics for Nutrient and Water Acquisition: Field and Modeling Advances D. Cusack et al. 10.3389/ffgc.2021.704469
- Low Redox Decreases Potential Phosphorus Limitation on Soil Biogeochemical Cycling Along a Tropical Rainfall Gradient Y. Lin et al. 10.1007/s10021-021-00662-4
- Evaluating two soil carbon models within the global land surface model JSBACH using surface and spaceborne observations of atmospheric CO<sub>2</sub> T. Thum et al. 10.5194/bg-17-5721-2020
- Vertically Divergent Responses of SOC Decomposition to Soil Moisture in a Changing Climate M. Pallandt et al. 10.1029/2021JG006684
- Carbon-phosphorus cycle models overestimate CO 2 enrichment response in a mature Eucalyptus forest M. Jiang et al. 10.1126/sciadv.adl5822
- Modeling Soil Responses to Nitrogen and Phosphorus Fertilization Along a Soil Phosphorus Stock Gradient L. Yu et al. 10.3389/ffgc.2020.543112
- Leaching of inorganic and organic phosphorus and nitrogen in contrasting beech forest soils – seasonal patterns and effects of fertilization J. Fetzer et al. 10.5194/bg-19-1527-2022
- Modeling boreal forest soil dynamics with the microbially explicit soil model MIMICS+ (v1.0) E. Aas et al. 10.5194/gmd-17-2929-2024
- Microbial competition for phosphorus limits the CO2 response of a mature forest M. Jiang et al. 10.1038/s41586-024-07491-0
- Seasonal dynamics of Arctic soils: Capturing year-round processes in measurements and soil biogeochemical models Z. Lyu et al. 10.1016/j.earscirev.2024.104820
- Conceptualizing Biogeochemical Reactions With an Ohm's Law Analogy J. Tang et al. 10.1029/2021MS002469
- Modelling dynamic interactions between soil structure and the storage and turnover of soil organic matter K. Meurer et al. 10.5194/bg-17-5025-2020
- A Continental‐Scale Estimate of Soil Organic Carbon Change at NEON Sites and Their Environmental and Edaphic Controls J. Hu et al. 10.1029/2022JG006981
- 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
- Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia 10.3389/fevo.2023.1105832
- PoolDilutionR: An R package for easy optimization of isotope pool dilution calculations K. Morris et al. 10.1111/2041-210X.14223
- Toward a coordinated understanding of hydro‐biogeochemical root functions in tropical forests for application in vegetation models D. Cusack et al. 10.1111/nph.19561
- Manufacturing triple-isotopically labeled microbial necromass to track C, N and P cycles in terrestrial ecosystems M. Schmitt et al. 10.1016/j.apsoil.2021.104322
- Evaluating MONICA's capability to simulate water, carbon and nitrogen fluxes in a wet grassland at contrasting water tables V. Khaledi et al. 10.1016/j.scitotenv.2024.174995
- Radiocarbon analysis reveals underestimation of soil organic carbon persistence in new-generation soil models A. Brunmayr et al. 10.5194/gmd-17-5961-2024
- BODIUM—A systemic approach to model the dynamics of soil functions S. König et al. 10.1111/ejss.13411
Latest update: 14 Dec 2024
Short summary
In this paper, we have developed a new soil organic carbon model that describes the formation and turnover of soil organic matter in a more mechanistic manner. With this model, we are able to better represent how microorganisms and nutrient processes influence the below-ground carbon storage and better explain some observed features of soil organic matter. We hope this model can increase our confidence in predictions of future climate change, particularly on how soil can mitigate the process.
In this paper, we have developed a new soil organic carbon model that describes the formation...