中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0

文献类型:期刊论文

作者Huang, Y.1,3; Guenet, B.1,4; Wang, Y. L.1,2; Ciais, P.1
刊名GLOBAL BIOGEOCHEMICAL CYCLES
出版日期2021-05-01
卷号35期号:5页码:20
ISSN号0886-6236
DOI10.1029/2020GB006836
通讯作者Huang, Y.(huangysmile@foxmail.com) ; Guenet, B.(betrand.guenet@ens.fr)
英文摘要Soils contain the largest amount of land carbon, even a small change of this pool can significantly affect atmospheric CO2 and climate change. A good representation of soil organic carbon (SOC) dynamics in Earth system models is therefore crucial to predict future climate change. The dynamics of SOC is largely driven by microbial activities and modulated by N cycles. Nevertheless, very few models have explicitly represented soil microorganisms and N cycles integrated at global scale. Here, we present an update of the microbial-mediated ORCHIMIC model and its application to simulate global gridded SOC stocks, microbial biomass, soil C/N ratio, microbial C/N ratio, and heterotrophic respiration. This is a new attempt to model SOC dynamics with an explicit microbial representation with N dynamics applied at global scale. The model shows relatively good performance in reproducing global SOC and microbial biomass C. The spatial distributions of soil and microbial C/N ratios were not well reproduced because they are sensitive to mineral nitrogen availability controlled by plant uptake, which is not explicitly represented in the model. However, similar relationship between C/N ratios of microbes and soil as observation demonstrated the potential of the model to reproduce global C/N ratios for both microbe and soil pools. Dynamic carbon use efficiency modulated by substrate C/N ratio, consistent with observation, were well represented by mechanistic including microbial dynamics. Modeled suppressed microbial biomass growth under warming climate indicating a weaker positive feedback between soil C pool and climate compared to that predicted by traditional Earth system models.
WOS关键词LAND-SURFACE MODEL ; EARTH SYSTEM MODELS ; ATMOSPHERIC CO2 ; PHOSPHORUS ; DYNAMICS ; RESPIRATION ; BIOMASS ; STOICHIOMETRY ; LIMITATION ; RESPONSES
资助项目National Key R&D Program of China[2020YFC1806700] ; European Research Council through the Synergy grant[ERC-2013- SyG610028] ; National Natural Science Foundation of China[41907313] ; National Natural Science Foundation of China[41730646] ; Science and Technology Commission of Shanghai Municipality[19ZR1415100]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000655225100001
出版者AMER GEOPHYSICAL UNION
资助机构National Key R&D Program of China ; European Research Council through the Synergy grant ; National Natural Science Foundation of China ; Science and Technology Commission of Shanghai Municipality
源URL[http://ir.igsnrr.ac.cn/handle/311030/163943]  
专题中国科学院地理科学与资源研究所
通讯作者Huang, Y.; Guenet, B.
作者单位1.Univ Paris Saclay, Lab Sci Climat & Environm, CEA CNRS UVSQ, LSCE IPSL, Gif Sur Yvette, France
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China
3.East China Normal Univ, Sch Geog Sci, Minist Educ, Key Lab Geog Informat Sci, Shanghai, Peoples R China
4.PSL Res Univ, CNRS, IPSL, Lab Geol,UMR 8538,Ecole Normale Super, Paris, France
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GB/T 7714
Huang, Y.,Guenet, B.,Wang, Y. L.,et al. Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0[J]. GLOBAL BIOGEOCHEMICAL CYCLES,2021,35(5):20.
APA Huang, Y.,Guenet, B.,Wang, Y. L.,&Ciais, P..(2021).Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0.GLOBAL BIOGEOCHEMICAL CYCLES,35(5),20.
MLA Huang, Y.,et al."Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0".GLOBAL BIOGEOCHEMICAL CYCLES 35.5(2021):20.

入库方式: OAI收割

来源:地理科学与资源研究所

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