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Quantifying global Nsub2/subO emissions from natural ecosystem soils using trait-based biogeochemistry models

机译:使用基于特征的生物地球化学模型量化自然生态系统土壤中的全球N 2 O排放

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A group of soil microbes plays an important role in nitrogen cycling and Nsub2/subO emissions from natural ecosystem soils. We developed a trait-based biogeochemical model based on an extant process-based biogeochemistry model, the Terrestrial Ecosystem Model (TEM), by incorporating the detailed microbial physiological processes of nitrification. The effect of ammonia-oxidizing Archaea (AOA), ammonia-oxidizing bacteria (AOB), and nitrite-oxidizing bacteria (NOB) was considered in modeling nitrification. Microbial traits, including microbial biomass and density, were explicitly considered. In addition, nitrogen cycling was coupled with carbon dynamics based on stoichiometry theory between carbon and nitrogen. The model was parameterized using observational data and then applied to quantifying global Nsub2/subO emissions from global terrestrial ecosystem soils from 1990 to 2000. Our estimates of 8.7±1.6 Tg?N?yr sup?1/sup generally agreed with previous estimates during the study period. Tropical forests are a major emitter, accounting for 42?% of the global emissions. The model was more sensitive to temperature and precipitation and less sensitive to soil organic carbon and nitrogen contents. Compared to the model without considering the detailed microbial activities, the new model shows more variations in response to seasonal changes in climate. Our study suggests that further information on microbial diversity and ecophysiology features is needed. The more specific guilds and their traits shall be considered in future soil Nsub2/subO emission quantifications.
机译:一组土壤微生物在自然生态系统土壤的氮循环和N 2 O排放中起着重要作用。通过结合详细的硝化微生物生理过程,我们基于现有的基于过程的生物地球化学模型(陆地生态系统模型(TEM)),开发了基于特征的生物地球化学模型。在模拟硝化过程中,考虑了氨氧化古细菌(AOA),氨氧化细菌(AOB)和亚硝酸盐氧化细菌(NOB)的作用。明确考虑了微生物特征,包括微生物生物量和密度。另外,氮循环与基于碳和氮之间的化学计量理论的碳动力学耦合。该模型使用观测数据进行参数化,然后应用于量化1990年至2000年全球陆地生态系统土壤的全球N 2 O排放。我们的估计值为8.7±1.6 Tg?N?yr ?1 通常同意研究期间的先前估计。热带森林是主要的排放者,占全球排放量的42%。该模型对温度和降水更敏感,对土壤有机碳和氮含量较不敏感。与不考虑详细微生物活动的模型相比,新模型显示出对气候季节性变化的更多变化。我们的研究表明,需要更多有关微生物多样性和生态生理特征的信息。在将来的土壤N 2 O排放定量中应考虑更具体的行会及其特性。

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