A model and its implications for denitrification in soil environment.

C Lin, C Chen, W Hsiang, T L Hu
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Abstract

We analyzed the mechanisms of a soil nitrogen (N) sub-model, which is a subroutine of the Crop-Environment Resources Synthesis (CERES)-maize; a model which was originally designed to simulate crop yield and has been calibrated and validated in Taiwan. Some experiments designed specifically for testing the N sub-model proved the capability of the model in reflecting field observations. With the mechanisms, we could write computer programs for calculating the relative sensitivities of major parameters in the model, and for simulating different treatments of organic matter. The purposes were to find how they affected N transformations, especially the processes of denitrification, which are considered to be responsible for N losses in upland soils and are an important environmental issue related to human disturbance of the N cycle. The results implied that soil water content and temperature were, respectively, the first and second dominant factors. They were much more sensitive than any other parameters, such as the decomposition rate coefficients, soil pH and bulk density. Decomposition of organic matter could slow down if organic matter with different carbon/nitrogen (C/N) ratios were treated in fractions. This treatment could also decrease the process of denitrification unless the organic matter was extremely large in quantity and has a high C/N ratio.

土壤环境反硝化模型及其意义。
本文对作物-环境资源综合(CERES)-玉米的子程序土壤氮(N)子模型的机制进行了分析;这个模型最初是用来模拟作物产量的,并在台湾进行了校准和验证。一些专门为测试N子模型而设计的实验证明了该模型反映野外观测的能力。利用这些机制,我们可以编写计算机程序来计算模型中主要参数的相对灵敏度,并模拟有机物的不同处理。目的是发现它们如何影响氮转化,特别是反硝化过程,这被认为是造成旱地土壤氮损失的原因,是与人类对氮循环的干扰有关的一个重要环境问题。结果表明,土壤含水量和温度分别为第一和第二主导因子。它们比分解速率系数、土壤pH和容重等参数更敏感。不同碳氮比的有机质分馏处理可以减缓有机质的分解速度。除非有机物量非常大且C/N比很高,否则该处理也会降低反硝化过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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