Microbial dynamics and soil physicochemical properties explain large-scale variations in soil organic carbon

Zhang, Haicheng; Goll, Daniel S.; Wang, Ying‐Ping; Ciais, Philippe; Wieder, William R.; Abramoff, Rose; Huang, Yuanyuan; Guenet, Bertrand; Prescher, Anne‐Katrin; Viscarra Rossel, Raphael A.; Barré, Pierre; Chenu, Claire; Zhou, Guoyi; Tang, Xuli

doi:10.1111/gcb.14994

Title: Microbial dynamics and soil physicochemical properties explain large-scale variations in soil organic carbon

Journal Article · Sat Jan 11 00:00:00 EST 2020 · Global Change Biology

DOI:https://doi.org/10.1111/gcb.14994· OSTI ID:1863825

^[1]; Goll, Daniel S. ^[2]; Wang, Ying‐Ping ^[3]; Ciais, Philippe ^[4];

^[5]; Abramoff, Rose ^[4]; Huang, Yuanyuan ^[4];

^[4]; Prescher, Anne‐Katrin ^[6];

^[7]; Barré, Pierre ^[8]; Chenu, Claire ^[9];

^[10]; Tang, Xuli ^[10]

Le Laboratoire des Sciences du Climat et de l’Environnement, Gif‐sur‐Yvette (France); Univ. Libre de Bruxelles (Belgium)
Le Laboratoire des Sciences du Climat et de l’Environnement, Gif‐sur‐Yvette (France); Univ. of Augsburg (Germany)
CSIRO Oceans and Atmosphere, Aspendale (Australia)
Le Laboratoire des Sciences du Climat et de l’Environnement, Gif‐sur‐Yvette (France)
National Center for Atmospheric Research (NCAR), Boulder, CO (United States); Univ. of Colorado, Boulder, CO (United States)
Thünen Inst. of Forest Ecosystems, Eberswalde (Germany)
Curtin Univ., Perth, WA (Australia)
PSL Research Univ., Paris (France)
Univ. Paris‐Saclay, Thiverval‐Grignon (France)
Chinese Academy of Sciences, Guangzhou (China)

Abstract First‐order organic matter decomposition models are used within most Earth System Models (ESMs) to project future global carbon cycling; these models have been criticized for not accurately representing mechanisms of soil organic carbon (SOC) stabilization and SOC response to climate change. New soil biogeochemical models have been developed, but their evaluation is limited to observations from laboratory incubations or few field experiments. Given the global scope of ESMs, a comprehensive evaluation of such models is essential using in situ observations of a wide range of SOC stocks over large spatial scales before their introduction to ESMs. In this study, we collected a set of in situ observations of SOC, litterfall and soil properties from 206 sites covering different forest and soil types in Europe and China. These data were used to calibrate the model MIMICS (The MIcrobial‐MIneral Carbon Stabilization model), which we compared to the widely used first‐order model CENTURY. We show that, compared to CENTURY, MIMICS more accurately estimates forest SOC concentrations and the sensitivities of SOC to variation in soil temperature, clay content and litter input. The ratios of microbial biomass to total SOC predicted by MIMICS agree well with independent observations from globally distributed forest sites. By testing different hypotheses regarding (using alternative process representations) the physicochemical constraints on SOC deprotection and microbial turnover in MIMICS, the errors of simulated SOC concentrations across sites were further decreased. We show that MIMICS can resolve the dominant mechanisms of SOC decomposition and stabilization and that it can be a reliable tool for predictions of terrestrial SOC dynamics under future climate change. It also allows us to evaluate at large scale the rapidly evolving understanding of SOC formation and stabilization based on laboratory and limited filed observation.

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Research Organization:: Cornell Univ., Ithaca, NY (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0016364; DE‐SC0016364

OSTI ID:: 1863825

Alternate ID(s):: OSTI ID: 1599240

Journal Information:: Global Change Biology, Vol. 26, Issue 4; ISSN 1354-1013

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 42 works

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Unifying soil organic matter formation and persistence frameworks: the MEMS model Robertson, Andy D.; Paustian, Keith; Ogle, Stephen Biogeosciences, Vol. 16, Issue 6 https://doi.org/10.5194/bg-16-1225-2019	journal	January 2019
A global soil data set for earth system modeling Shangguan, Wei; Dai, Yongjiu; Duan, Qingyun Journal of Advances in Modeling Earth Systems, Vol. 6, Issue 1 https://doi.org/10.1002/2013MS000293	journal	March 2014
Carbon cycle confidence and uncertainty: Exploring variation among soil biogeochemical models Wieder, William R.; Hartman, Melannie D.; Sulman, Benjamin N. Global Change Biology, Vol. 24, Issue 4 https://doi.org/10.1111/gcb.13979	journal	November 2017

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59 BASIC BIOLOGICAL SCIENCES
Soil organic carbon
soil biogeochemical model
microbial physiology
soil physiochemical property
soil carbon stabilization
soil carbon classification
climate change

Title: Microbial dynamics and soil physicochemical properties explain large-scale variations in soil organic carbon

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