Stange Claus Florian, Spott Oliver, Russow Rolf
a Federal Institute for Geosciences and Natural Resources , Hannover , Germany.
Isotopes Environ Health Stud. 2013;49(4):503-19. doi: 10.1080/10256016.2013.863770.
The nitrogen (N) cycle consists of a variety of microbial processes. These processes often occur simultaneously in soils, but respond differently to local environmental conditions due to process-specific biochemical restrictions (e.g. oxygen levels). Hence, soil nitrogen cycling (e.g. soil N gas production through nitrification and denitrification) is individually affected through these processes, resulting in the complex and highly dynamic behaviour of total soil N turnover. The development and application of methods that facilitate the quantification of individual contributions of coexisting processes is a fundamental prerequisite for (i) understanding the dynamics of soil N turnover and (ii) implementing these processes in ecosystem models. To explain the unexpected results of the triplet tracer experiment (TTE) of Russow et al. (Role of nitrite and nitric oxide in the processes of nitrification and denitrification in soil: results from (15)N tracer experiments. Soil Biol Biochem. 2009;41:785-795) the existing SimKIM model was extended to the SimKIM-Advanced model through the addition of three separate nitrite subpools associated with ammonia oxidation, oxidation of organic nitrogen (Norg), and denitrification, respectively. For the TTE, individual treatments with (15)N ammonium, (15)N nitrate, and (15)N nitrite were conducted under oxic, hypoxic, and anoxic conditions, respectively, to clarify the role of nitric oxide as a denitrification intermediate during N2O formation. Using a split nitrite pool, this analysis model explains the observed differences in the (15)N enrichments in nitric oxide (NO) and nitrous oxide (N2O) which occurred in dependence on different oxygen concentrations. The change from oxic over hypoxic to anoxic conditions only marginally increased the NO and N2O release rates (1.3-fold). The analysis using the model revealed that, under oxic and hypoxic conditions, Norg-based N2O production was the dominant pathway, contributing to 90 and 50 % of the total soil N2O release. Under anoxic conditions, denitrification was the dominant process for soil N2O release. The relative contribution of Norg to the total soil NO release was small. Ammonia oxidation served as the major pathway of soil NO release under oxic and hypoxic conditions, while denitrification was dominant under anoxic conditions. The model parameters for soil with moderate soil organic matter (SOM) content were not scalable to an additional data set for soil with higher SOM content, indicating a strong influence of SOM content on microbial N turnover. Thus, parameter estimation had to be re-calculated for these conditions, highlighting the necessity of individual soil-dependent parameter estimations.
氮(N)循环由多种微生物过程组成。这些过程通常在土壤中同时发生,但由于特定过程的生化限制(如氧气水平),对当地环境条件的反应有所不同。因此,土壤氮循环(如通过硝化作用和反硝化作用产生土壤N气体)会受到这些过程的单独影响,导致土壤总氮周转呈现复杂且高度动态的行为。开发和应用有助于量化共存过程各自贡献的方法,是(i)理解土壤氮周转动态以及(ii)在生态系统模型中应用这些过程的基本前提。为了解释Russow等人的三重示踪剂实验(TTE)(土壤中硝化作用和反硝化作用过程中亚硝酸盐和一氧化氮的作用:¹⁵N示踪剂实验结果。土壤生物学与生物化学。2009年;41:785 - 795)的意外结果,通过分别添加与氨氧化、有机氮(Norg)氧化和反硝化作用相关的三个单独的亚硝酸盐子库,将现有的SimKIM模型扩展为SimKIM - Advanced模型。对于TTE,分别在有氧、缺氧和无氧条件下进行了¹⁵N铵、¹⁵N硝酸盐和¹⁵N亚硝酸盐的单独处理,以阐明一氧化氮作为N₂O形成过程中反硝化作用中间体的作用。使用分离的亚硝酸盐库,该分析模型解释了在一氧化氮(NO)和一氧化二氮(N₂O)中观察到的¹⁵N富集差异,这些差异取决于不同的氧气浓度。从有氧到缺氧再到无氧条件的变化仅略微增加了NO和N₂O的释放速率(1.3倍)。使用该模型的分析表明,在有氧和缺氧条件下,基于Norg的N₂O产生是主要途径,分别占土壤总N₂O释放量的90%和50%。在无氧条件下,反硝化作用是土壤N₂O释放的主要过程。Norg对土壤总NO释放的相对贡献较小。在有氧和缺氧条件下,氨氧化是土壤NO释放的主要途径,但在无氧条件下反硝化作用占主导。土壤有机质(SOM)含量适中的土壤模型参数无法扩展到SOM含量更高的土壤的另一数据集,这表明SOM含量对微生物氮周转有很大影响。因此,必须针对这些条件重新计算参数估计值,突出了针对不同土壤进行单独参数估计的必要性。