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首页> 外文期刊>Geoscientific Model Development >Stoichiometrically coupled carbon and nitrogen cycling in the MIcrobial-MIneral Carbon Stabilization model version 1.0 (MIMICS-CN v1.0)
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Stoichiometrically coupled carbon and nitrogen cycling in the MIcrobial-MIneral Carbon Stabilization model version 1.0 (MIMICS-CN v1.0)

机译:微生物 - 矿物碳稳定模型1.0版中的化学算法偶联碳和氮循环(MIMICS-CN V1.0)

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Explicit consideration of microbial physiology in soil biogeochemical models that represent coupled carbon–nitrogen dynamics presents opportunities to deepen understanding of ecosystem responses to environmental change. The MIcrobial-MIneral Carbon Stabilization (MIMICS) model explicitly represents microbial physiology and physicochemical stabilization of soil carbon (C) on regional and global scales. Here we present a new version of MIMICS with coupled C and nitrogen (N) cycling through litter, microbial, and soil organic matter (SOM) pools. The model was parameterized and validated against C and N data from the Long-Term Inter-site Decomposition Experiment Team (LIDET; six litter types, 10?years of observations, and 13 sites across North America). The model simulates C and N losses from litterbags in the LIDET study with reasonable accuracy (C: R2=0.63; N: R2=0.29), which is comparable with simulations from the DAYCENT model that implicitly represents microbial activity (C: R2=0.67; N: R2=0.30). Subsequently, we evaluated equilibrium values of stocks (total soil C and N, microbial biomass C and N, inorganic N) and microbial process rates (soil heterotrophic respiration, N mineralization) simulated by MIMICS-CN across the 13 simulated LIDET sites against published observations from other continent-wide datasets. We found that MIMICS-CN produces equilibrium values in line with measured values, showing that the model generates plausible estimates of ecosystem soil biogeochemical dynamics across continental-scale gradients. MIMICS-CN provides a platform for coupling C and N projections in a microbially explicit model, but experiments still need to identify the physiological and stoichiometric characteristics of soil microbes, especially under environmental change scenarios.
机译:代表耦合碳氮动力学的土壤生物地球化学模型中微生物生理学的明确考虑为加深对环境变化的生态系统反应的理解提供了机会。微生物矿物碳稳定(模拟)模型明确地代表了区域和全球尺度土壤(C)的微生物生理学和物理化学稳定。在这里,我们介绍了一种新版本的模仿与耦合C和氮气(n)循环通过凋落物,微生物和土壤有机物质(SOM)池。该模型是从长期站点分类实验团队(LIDET;六种垃圾类型,10个观察)的C和N数据进行参数化和验证。该模型以合理的精度(C:R2 = 0.63; N:R2 = 0.29)模拟了LIDET研究中的封装袋中的C和N损失,其与来自暗集模型的模拟相当,其隐含地代表微生物活动(C:R2 = 0.67 ; n:r2 = 0.30)。随后,我们评估了通过模拟-CN模拟的13个模拟的封顶位点模拟的股票的平衡值(总土壤C和N,微生物生物量C和N,无机N)和微生物血液呼吸,N矿化,N矿化),其针对公开的观察结果来自其他大陆的数据集。我们发现模拟CN符合测量值的平衡值,表明该模型在大陆梯度跨越大陆梯度产生了生态系统土壤化学动力学的合理估计。 MIMICS-CN提供了一种用于在微生物显式模型中耦合C和N投影的平台,但实验仍然需要识别土壤微生物的生理和化学计量特性,尤其是在环境变化场景下。

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