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Quantifying biological processes producing nitrous oxide in soil using a mechanistic model
Biogeochemistry ( IF 4 ) Pub Date : 2022-03-04 , DOI: 10.1007/s10533-022-00912-0
Baoxuan Chang 1 , Zhifeng Yan 1, 2, 3 , Siliang Li 1, 2 , Pingqing Fu 1, 2 , Xiaotang Ju 4 , Xiaotong Song 4 , Yawei Li 5 , Xia Zhu-Barker 6, 7
Affiliation  

Soil nitrous oxide (N2O) is an important greenhouse gas contributing to climate change. Many processes produce N2O in soil and the production rate of each process is affected by climatic-edaphic factors, making the soil-to-atmosphere N2O flux extremely dynamic. Experimental approaches, including natural and enriched isotopic methods, have been developed to separate and quantify the N2O production from different processes. However, these methods are often costly and tedious, hampering their wide application. This study aimed to develop a mechanistic model quantifying the soil N2O production from nitrifier nitrification (NN), nitrifier denitrification (ND), and heterotrophic denitrification (HD), which are considered as the most important biological processes, and to investigate how climatic-edaphic factors affect N2O production from individual process as well as total N2O production. The developed model demonstrated its robustness and capability by reliably reproducing the N2O production from NN, ND, and HD in different types of soils under various moisture contents or oxygen concentrations. The model simulations unraveled how environmental conditions and soil properties control the total N2O production rate by variably regulating individual processes. Therefore, the mechanistic model can potentially elucidate the large spatiotemporal variances of in-situ soil N2O flux and improve the assessment of soil N2O emission at regional and global scales.



中文翻译:

使用机械模型量化土壤中产生一氧化二氮的生物过程

土壤一氧化二氮 (N 2 O) 是导致气候变化的重要温室气体。许多过程会在土壤中产生 N 2 O,每个过程的产率都受气候-土壤因素的影响,使得土壤-大气 N 2 O 通量极具动态性。已经开发了实验方法,包括天然和富集同位素方法,以分离和量化来自不同过程的 N 2 O 产量。然而,这些方法通常成本高且繁琐,阻碍了它们的广泛应用。本研究旨在建立一个量化土壤 N 2的机械模型硝化器硝化 (NN)、硝化器反硝化 (ND) 和异养反硝化 (HD) 产生的 O 被认为是最重要的生物过程,并研究气候-土壤因素如何影响单个过程的 N 2 O 产生作为总 N 2 O 产量。所开发的模型通过在不同水分含量或氧气浓度下的不同类型土壤中可靠地再现NN、ND 和 HD的 N 2 O 产量,证明了其稳健性和能力。模型模拟揭示了环境条件和土壤特性如何控制总 N 2通过可变调节各个过程的 O 生产率。因此,该机理模型可以潜在地阐明原位土壤 N 2 O 通量的大时空变化,并改进对区域和全球尺度土壤 N 2 O 排放的评估。

更新日期:2022-03-04
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