Microbial dynamics and soil physicochemical properties explain large-scale variations in soil organic carbon
2020
Zhang, Haicheng | Goll, Daniel S. | Wang, Ying-Ping | Ciais, Philippe | Wieder, William R. | Abramoff, Rose, Z | Huang, Yuanyuan | Guenet, Bertrand | Prescher, Anne‐katrin | Viscarra Rossel, Raphael A. | Barré, Pierre, P. | Chenu, Claire | Zhou, Guoyi | Tang, Xuli | Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE) ; Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) | Université libre de Bruxelles = Free University of Brussels (ULB) | Contrôles des cycles biogéochimiques terrestres (BIOGEO) ; Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE) ; Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) | Universität Augsburg [Deutschland] = University of Augsburg [Germany] = Université d'Augsbourg [Allemagne] (UNIA) | CSIRO Oceans and Atmosphere ; CISRO Oceans and Atmosphere | National Center for Atmospheric Research [Boulder] (NCAR) | Institute of Arctic Alpine Research [University of Colorado Boulder] (INSTAAR) ; University of Colorado [Boulder] | Thunen Institute of Forest Ecosystems ; Johann Heinrich von Thünen-Institut = Thünen Institute | Curtin University | Laboratoire de géologie de l'ENS (LGENS) ; Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS-PSL ; École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-École normale supérieure - Paris (ENS-PSL) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) | Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS) ; AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) | South China Botanical Garden ; The Chinese Academy of Sciences | Fonds De La Recherche Scientifique FNRS 34823748 ;European Research Council ERC‐2013‐SyG‐610028 ;National Environmental Science Program Earth System and Climate ChangeU.S. Department of Energy DE‐SC0016364 ;Department of Agriculture ; NIFA 2015‐67003‐23485 ;NASA Interdisciplinary Science Program NNX17AK19G ;European Commission Joint Research Centre
International audience
Mostrar más [+] Menos [-]Inglés. 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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