The DOI matches its Crossref record; 178 of the 178 references it cites were found in a registry or an index.
Explicitly representing soil microbial processes in Earth system models
Open accessAbstract
Microbes influence soil organic matter decomposition and the long‐term stabilization of carbon (C) in soils. We contend that by revising the representation of microbial processes and their interactions with the physicochemical soil environment, Earth system models (ESMs) will make more realistic global C cycle projections. Explicit representation of microbial processes presents considerable challenges due to the scale at which these processes occur. Thus, applying microbial theory in ESMs requires a framework to link micro‐scale process‐level understanding and measurements to macro‐scale models used to make decadal‐ to century‐long projections. Here we review the diversity, advantages, and pitfalls of simulating soil biogeochemical cycles using microbial‐explicit modeling approaches. We present a roadmap for how to begin building, applying, and evaluating reliable microbial‐explicit model formulations that can be applied in ESMs. Drawing from experience with traditional decomposition models, we suggest the following: (1) guidelines for common model parameters and output that can facilitate future model intercomparisons; (2) development of benchmarking and model‐data integration frameworks that can be used to effectively guide, inform, and evaluate model parameterizations with data from well‐curated repositories; and (3) the application of scaling methods to integrate microbial‐explicit soil biogeochemistry modules within ESMs. With contributions across scientific disciplines, we feel this roadmap can advance our fundamental understanding of soil biogeochemical dynamics and more realistically project likely soil C response to environmental change at global scales.
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Cites
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Cited by
Lavallee, J. M., Soong, J. L., & Cotrufo, M. F. (2020) · Global Change Biology · doi:10.1111/gcb.14859 · Cited by 2,477
Global stocks and capacity of mineral-associated soil organic carbon
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Self-citationLand use driven change in soil pH affects microbial carbon cycling processes
Malik, A. A., Puissant, J., Buckeridge, K. M., Goodall, T., Jehmlich, N., Chowdhury, S., Gweon, H. S., Peyton, J. M., Mason, K. E., van Agtmaal, M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05980-1 · Cited by 958
Toward more realistic projections of soil carbon dynamics by Earth system models
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Self-citationSoil carbon saturation: what do we really know?
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Metadata
- Authors
- Wieder, W. R., Allison, S. D., Davidson, E. A., Georgiou, K., Hararuk, O., He, Y., Hopkins, F., Luo, Y., Smith, M. J., Sulman, B., Todd‐Brown, K., Wang, Y., Xia, J., & Xu, X.
- Venue
- Global Biogeochemical Cycles
- Publisher
- American Geophysical Union (AGU)
- Published
- 2015-10
- Volume
- 29
- Issue
- 10
- Pages
- 1782-1800
- ISSN
- 0886-6236 (ISSN-L)
- 1944-9224
- OpenAlex
- W1952580789
- Cited by
- 411
- References
- 178
- FWCI
- 29.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wieder, W. R., Allison, S. D., Davidson, E. A., Georgiou, K., Hararuk, O., He, Y., Hopkins, F., Luo, Y., Smith, M. J., Sulman, B., Todd‐Brown, K., Wang, Y., Xia, J., & Xu, X. (2015). Explicitly representing soil microbial processes in Earth system models. Global Biogeochemical Cycles. https://doi.org/10.1002/2015gb005188
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