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 · 10 January 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); Cornell University
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)

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. Here, 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

OSTI ID:: 1863825

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

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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A semi-analytical solution to accelerate spin-up of a coupled carbon and nitrogen land model to steady state Xia, J. Y.; Luo, Y. Q.; Wang, Y. -P. Geoscientific Model Development, Vol. 5, Issue 5 https://doi.org/10.5194/gmd-5-1259-2012	journal	January 2012
Representing life in the Earth system with soil microbial functional traits in the MIMICS model Wieder, W. R.; Grandy, A. S.; Kallenbach, C. M. Geoscientific Model Development, Vol. 8, Issue 6 https://doi.org/10.5194/gmd-8-1789-2015	journal	January 2015

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

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