Literature DB >> 31926046

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

Haicheng Zhang1,2, Daniel S Goll1,3, Ying-Ping Wang4, Philippe Ciais1, William R Wieder5,6, Rose Abramoff1, Yuanyuan Huang1, Bertrand Guenet1, Anne-Katrin Prescher7, Raphael A Viscarra Rossel8, Pierre Barré9, Claire Chenu10, Guoyi Zhou11, Xuli Tang11.   

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.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  climate change; microbial physiology; soil biogeochemical model; soil carbon classification; soil carbon stabilization; soil organic carbon; soil physicochemical property

Year:  2020        PMID: 31926046     DOI: 10.1111/gcb.14994

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  4 in total

1.  Optimizing process-based models to predict current and future soil organic carbon stocks at high-resolution.

Authors:  Derek Pierson; Kathleen A Lohse; William R Wieder; Nicholas R Patton; Jeremy Facer; Marie-Anne de Graaff; Katerina Georgiou; Mark S Seyfried; Gerald Flerchinger; Ryan Will
Journal:  Sci Rep       Date:  2022-06-25       Impact factor: 4.996

2.  Increasing the spatial and temporal impact of ecological research: A roadmap for integrating a novel terrestrial process into an Earth system model.

Authors:  Emily Kyker-Snowman; Danica L Lombardozzi; Gordon B Bonan; Susan J Cheng; Jeffrey S Dukes; Serita D Frey; Elin M Jacobs; Risa McNellis; Joshua M Rady; Nicholas G Smith; R Quinn Thomas; William R Wieder; A Stuart Grandy
Journal:  Glob Chang Biol       Date:  2021-10-14       Impact factor: 13.211

3.  Temperature effects on carbon storage are controlled by soil stabilisation capacities.

Authors:  Iain P Hartley; Tim C Hill; Sarah E Chadburn; Gustaf Hugelius
Journal:  Nat Commun       Date:  2021-11-18       Impact factor: 14.919

4.  Experimental Warming Has Not Affected the Changes in Soil Organic Carbon During the Growing Season in an Alpine Meadow Ecosystem on the Qinghai-Tibet Plateau.

Authors:  Yue Yang; Guoxi Shi; Yongjun Liu; Li Ma; Zhonghua Zhang; Shengjing Jiang; Jianbin Pan; Qi Zhang; Buqing Yao; Huakun Zhou; Huyuan Feng
Journal:  Front Plant Sci       Date:  2022-03-18       Impact factor: 5.753

  4 in total

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