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首页> 外文期刊>Biogeosciences >Modelling the effect of aggregates on N(2)O emission from denitrification in an agricultural peat soil
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Modelling the effect of aggregates on N(2)O emission from denitrification in an agricultural peat soil

机译:模拟集料对农业泥炭土中反硝化过程中N(2)O排放的影响

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摘要

Nitrous oxide (N_2O) emissions are highly variable in time, with high peak emissions lasting a few days to several weeks and low background emissions. This temporal variability is poorly understood which hampers the simulation of daily N_2O emissions. In structured soils, like clay and peat, aggregates hamper the diffusion of oxygen, which leads to anaerobic microsites in the soil, favourable for denitrification. Diffusion of N_2O out of the aggregates is also hampered, which leads to delayed emissions and increased reduction of N_2O to N_2. In this model simulation study we investigate the effect of aggregates in soils on the N_2O emissions. We present a parameterization to simulate the effects of aggregates on N_2O production by denitrification and on N_2O reduction. The parameterization is based on the mobile-immobile model concept. It was implemented in a field-scale hydrological-biogeochemical model combination. We compared the simulated fluxes with observed fluxes from a fertilized and drained peat soil under grass. The results of this study show that aggregates strongly affect the simulated N_2O emissions: peak emissions are lower, whereas the background emissions are slightly higher. Including the effect of aggregates caused a 40% decrease in the simulated annual emissions relative to the simulations without accounting for the effects of aggregates. The new parameterization significantly improved the model performance regarding simulation of observed daily N_2O fluxes; r(2) and RMSE improved from 0.11 and 198 g N_2O-N ha~(-1) d~(-1) to 0.41 and 40 g N_2O-N ha~(-1) d~(-1), respectively. Our analyses of the model results show that aggregates have a larger impact on the reduction than on the production of N_2O. Reduction of N_2O is more sensitive to changes in the drivers than production of N_2O and is in that sense the key to understanding N_2O emissions from denitrification. The effects of changing environmental conditions on reduction of N_2O relative to N_2O production strongly depend on the NO_3 content of the soil. More anaerobic conditions have hardly any effect on the ratio of production to reduction if NO_3 is abundant, but will decrease this ratio if NO_3 is limiting. In the first case the emissions will increase, whereas in the second case the emissions will decrease. This study suggests that the current knowledge of the hydrological, biogeochemical and physical processes may be sufficient to understand the observed N_2O fluxes from a fertilized clayey peatland. Further research is needed to test how aggregates affect the N_2O fluxes from other soils or soils with different fertilization regimes.
机译:一氧化二氮(N_2O)排放随时间变化很大,峰值排放持续数天至数周,背景排放低。人们对这种时间变异性了解甚少,这妨碍了对每日N_2O排放的模拟。在结构化的土壤(如粘土和泥炭)中,聚集体会阻碍氧气的扩散,这会导致土壤中产生厌氧的微场所,有利于反硝化作用。 N_2O从聚集体中的扩散也受到阻碍,这导致排放延迟和N_2O还原为N_2的增加。在此模型模拟研究中,我们调查了土壤中聚集体对N_2O排放的影响。我们提出了一个参数化参数,以模拟聚集体对反硝化产生的N_2O产生的影响以及对N_2O还原的影响。参数化基于移动-固定模型概念。它是在现场规模的水文-生物地球化学模型组合中实施的。我们将模拟通量与观察到的来自草皮下肥沃和排水的泥炭土壤通量进行了比较。这项研究的结果表明,聚集体强烈影响模拟的N_2O排放:峰值排放较低,而背景排放稍高。相对于模拟,包括集合体的影响导致模拟年度排放量减少了40%,而未考虑集合体的影响。新的参数化显着改善了关于模拟的每日N_2O通量模拟的模型性能; r(2)和RMSE分别从0.11和198 g N_2O-N ha〜(-1)d〜(-1)提高到401 N_2O-N ha〜(-1)d〜(-1)。我们对模型结果的分析表明,聚集体对还原的影响大于对N_2O产生的影响。 N_2O的还原对驱动因素的变化比N_2O的产生更敏感,在此意义上,N_2O的还原是了解反硝化过程中N_2O排放的关键。改变环境条件对减少N_2O相对于N_2O产生的影响在很大程度上取决于土壤中的NO_3含量。如果NO_3含量较高,则更多的厌氧条件几乎不会影响产量与还原的比率,但如果NO_3受到限制,则将降低该比率。在第一种情况下,排放将增加,而在第二种情况下,排放将减少。这项研究表明,目前对水文,生物地球化学和物理过程的了解可能足以了解从施肥的黏土泥炭地观察到的N_2O通量。需要进行进一步的研究以测试聚集体如何影响来自其他土壤或施肥方式不同的土壤的N_2O通量。

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