Explicitly representing soil microbial processes in Earth system models: Soil microbes in earth system models

Wieder, William R.; Allison, Steven D.; Davidson, Eric A.; Georgiou, Katerina; Hararuk, Oleksandra; He, Yujie; Hopkins, Francesca; Luo, Yiqi; Smith, Matthew J.; Sulman, Benjamin; Todd-Brown, Katherine; Wang, Ying-Ping; Xia, Jianyang; Xu, Xiaofeng

doi:10.1002/2015GB005188

Title: Explicitly representing soil microbial processes in Earth system models: Soil microbes in earth system models

Journal Article · Tue Sep 22 00:00:00 EDT 2015 · Global Biogeochemical Cycles

DOI:https://doi.org/10.1002/2015GB005188· OSTI ID:1267596

Wieder, William R. ^[1]; Allison, Steven D. ^[2]; Davidson, Eric A. ^[3]; Georgiou, Katerina ^[4]; Hararuk, Oleksandra ^[5]; He, Yujie ^[6]; Hopkins, Francesca ^[7]; Luo, Yiqi ^[8]; Smith, Matthew J. ^[9]; Sulman, Benjamin ^[10];

^[11]; Wang, Ying-Ping ^[12]; Xia, Jianyang ^[13]; Xu, Xiaofeng ^[14]

National Center for Atmospheric Research, Boulder, CO (United States)
Univ. of California, Irvine, CA (United States)
Univ. of Maryland Center for Environmental Science, Frostburg, MD (United States). Appalachian Lab.
Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Natural Resources Canada, Victoria, BC (Canada). Canadian Forest Service, Pacific Forestry Centre
Univ. of California, Irvine, CA (United States); Purdue Univ., West Lafayette, IN (United States)
Univ. of California, Irvine, CA (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States). Jet Propulsion Lab. (JPL)
Univ. of Oklahoma, Norman, OK (United States)
Microsoft Research, Cambridge (United Kingdom). Computational Science Lab.
Indiana Univ., Bloomington, IN (United States)
Univ. of Oklahoma, Norman, OK (United States); Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
CSIRO Ocean and Atmosphere Flagship, Aspendale, VIC (Australia)
Univ. of Oklahoma, Norman, OK (United States); East China Normal Univ., Shanghai (China)
Univ. of Texas at El Paso, TX (United States)

Microbes influence soil organic matter (SOM) decomposition and the long-term stabilization of carbon (C) in soils. Herein, we contend that by revising the representation of microbial processes and their interactions with the physicochemical soil environment, Earth system models (ESMs) may 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: (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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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE; National Science Foundation (NSF); USDA; National Institute of Food and Agriculture

Contributing Organization:: Terrestrial Ecosystem Science (TES) Program

Grant/Contract Number:: AC05-76RL01830; DEB 0840964; SC0008270; 2015-67003-23485; SC0014374

OSTI ID:: 1267596

Report Number(s):: PNNL-SA-113961

Journal Information:: Global Biogeochemical Cycles, Vol. 29, Issue 10; ISSN 0886-6236

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 213 works

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Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession Medvigy, David; Wang, Gangsheng; Zhu, Qing New Phytologist, Vol. 223, Issue 4 https://doi.org/10.1111/nph.15848	journal	April 2019
Temperature sensitivity of SOM decomposition governed by aggregate protection and microbial communities Qin, Shuqi; Chen, Leiyi; Fang, Kai Science Advances, Vol. 5, Issue 7 https://doi.org/10.1126/sciadv.aau1218	journal	July 2019
The changing faces of soil organic matter research Smith, Pete; Lutfalla, Suzanne; Riley, William J. Wiley-Blackwell Publishing, Inc. https://doi.org/10.5167/uzh-143110	text	January 2018
Comparing models of microbial–substrate interactions and their response to warming Sihi, Debjani; Gerber, Stefan; Inglett, Patrick W. Biogeosciences, Vol. 13, Issue 6 https://doi.org/10.5194/bg-13-1733-2016	journal	January 2016
Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO₂: simulations using an explicitly competitive, game-theoretic vegetation demographic model Weng, Ensheng; Dybzinski, Ray; Farrior, Caroline E. Biogeosciences, Vol. 16, Issue 23 https://doi.org/10.5194/bg-16-4577-2019	journal	January 2019
Metabolic tradeoffs and heterogeneity in microbial responses to temperature determine the fate of litter carbon in simulations of a warmer world Pold, Grace; Sistla, Seeta A.; DeAngelis, Kristen M. Biogeosciences, Vol. 16, Issue 24 https://doi.org/10.5194/bg-16-4875-2019	journal	January 2019
Changing perspectives on terrestrial nitrogen cycling: The importance of weathering and evolved resource‐use traits for understanding ecosystem responses to global change Wooliver, Rachel; Pellegrini, Adam F. A.; Waring, Bonnie Functional Ecology, Vol. 33, Issue 10 https://doi.org/10.1111/1365-2435.13377	journal	June 2019
Impact of priming on global soil carbon stocks Guenet, Bertrand; Camino-Serrano, Marta; Ciais, Philippe Global Change Biology, Vol. 24, Issue 5 https://doi.org/10.1111/gcb.14069	journal	February 2018
Unifying the functional diversity in natural and cultivated soils using the overall body-mass distribution of nematodes Mulder, Christian; Maas, Rob BMC Ecology, Vol. 17, Issue 1 https://doi.org/10.1186/s12898-017-0145-9	journal	November 2017
Biotic versus Abiotic Controls on Bioavailable Soil Organic Carbon Blankinship, Joseph; Schimel, Joshua Soil Systems, Vol. 2, Issue 1 https://doi.org/10.3390/soilsystems2010010	journal	February 2018
Global ecotypes in the ubiquitous marine clade SAR86 Hoarfrost, Adrienne; Nayfach, Stephen; Ladau, Joshua The ISME Journal, Vol. 14, Issue 1 https://doi.org/10.1038/s41396-019-0516-7	journal	October 2019
Reduced carbon use efficiency and increased microbial turnover with soil warming Li, Jianwei; Wang, Gangsheng; Mayes, Melanie A. Global Change Biology https://doi.org/10.1111/gcb.14517	journal	December 2018
Variations of SOC and MBC observed in an incubated brown loam soil managed under different tillage systems for 12 years Li, Xiaosha; Han, Huifang; Ning, Tangyuan Soil Use and Management, Vol. 35, Issue 4 https://doi.org/10.1111/sum.12511	journal	May 2019
Data-mining analysis of the global distribution of soil carbon in observational databases and Earth system models Hashimoto, Shoji; Nanko, Kazuki; Ťupek, Boris Geoscientific Model Development, Vol. 10, Issue 3 https://doi.org/10.5194/gmd-10-1321-2017	journal	January 2017
Competition alters predicted forest carbon cycle responses to nitrogen availability and elevated CO2: simulations using an explicitly competitive, game-theoretic vegetation demographic model Weng, Ensheng; Dybzinski, Ray; Farrior, Caroline E. Columbia University https://doi.org/10.7916/d8-651c-f885	text	January 2019
Nitrogen-Related Constraints of Carbon Uptake by Large-Scale Forest Expansion: Simulation Study for Climate Change and Management Scenarios: NITROGEN LIMITATION UNDER AFFORESTATION Kracher, Daniela Earth's Future, Vol. 5, Issue 11 https://doi.org/10.1002/2017ef000622	journal	November 2017
A genomic perspective on stoichiometric regulation of soil carbon cycling Hartman, Wyatt H.; Ye, Rongzhong; Horwath, William R. The ISME Journal, Vol. 11, Issue 12 https://doi.org/10.1038/ismej.2017.115	journal	July 2017
The changing faces of soil organic matter research: The changing faces of soil organic matter research Smith, P.; Lutfalla, S.; Riley, W. J. European Journal of Soil Science, Vol. 69, Issue 1 https://doi.org/10.1111/ejss.12500	journal	December 2017

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