Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0
Global Simulation and Evaluation of Soil Organic Matter and Microbial Carbon and Nitrogen Stocks Using the Microbial Decomposition Model ORCHIMIC v2.0
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使用微生物分解模型 ORCHIMIC v2.0 对土壤有机质和微生物碳氮库进行全局模拟和评估
DOI：
10.1029/2020gb006836
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发表时间：
2021-05
影响因子：
5.2
通讯作者：
Ciais P.
中科院分区：
文献类型：
--
作者：
Huang Y.;Guenet B.;Wang Y. L.;Ciais P.
土壤是陆地碳库中最大的碳库，即使是土壤碳库的微小变化也会对大气CO2和气候变化产生重大影响。因此，在地球系统模式中很好地代表土壤有机碳（SOC）动态是预测未来气候变化的关键。土壤有机碳的动态变化主要受微生物活动的驱动和氮素循环的调节。然而，很少有模型明确表示土壤微生物和N循环集成在全球范围内。在这里，我们介绍了微生物介导的ORCHIMIC模型的更新及其在模拟全球网格SOC储量、微生物生物量、土壤C/N比、微生物C/N比和异养呼吸中的应用。这是一个新的尝试，SOC动态模型与明确的微生物代表与N动态应用在全球范围内。该模型在模拟全球SOC和微生物生物量C方面表现出较好的性能。土壤和微生物C/N比的空间分布没有很好地再现，因为它们是敏感的矿物氮的有效性控制植物吸收，这是没有明确表示在模型中。然而，类似的微生物和土壤的C/N比之间的关系，观察表明，该模型的潜力，以再现全球微生物和土壤库的C/N比。动态碳利用效率调制基质C/N比，与观察相一致，以及代表的机制，包括微生物动力学。模拟抑制微生物生物量的增长，气候变暖表明土壤碳库和气候之间的正反馈较弱的传统地球系统模型预测相比。
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.
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影响因子：
5.1
作者：
Goll, Daniel S.;Vuichard, Nicolas;Ciais, Philippe
通讯作者：
Ciais, Philippe
影响因子：
5.2
作者：
M. Tifafi;B. Guenet;C. Hatté
通讯作者：
M. Tifafi;B. Guenet;C. Hatté
影响因子：
11.4
作者：
Hugelius, G.;Tarnocai, C.;Swanson, D. K.
通讯作者：
Swanson, D. K.
影响因子：
56.9
作者：
He, Yujie;Trumbore, Susan E.;Randerson, James T.
通讯作者：
Randerson, James T.
影响因子：
5.1
作者：
Yilong Wang;P. Ciais;D. Goll;Yuanyuan Huang;Yiqi Luo;Ying-Ping Wang;A. Anthony Bloom;G. Broquet-G.
通讯作者：
Yilong Wang;P. Ciais;D. Goll;Yuanyuan Huang;Yiqi Luo;Ying-Ping Wang;A. Anthony Bloom;G. Broquet-G.