Modelling Microbial Nitrification and Exploring Nonlinear Mechanism by Dynamical Complexity

Pub Date : 2024-01-31 DOI:10.12982/cmjs.2024.001
Xiumin Zhang, Huayong Zhang
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Abstract

Nitrification, a crucial step in nitrogen cycle of ecosystems, is an important issue that attracts many attentions. In this research, the nitrification process is investigated by developing a new dynamical model which couples the kinetics of ammonia oxidation process and nitrite oxidation process. With the application of literature-based parameter values, the dynamical characteristics of nitrification process in aquatic and soil environments are studied. Stable coexistent equilibrium, periodic oscillations, as well as more complex nitrification dynamics, such as quasiperiodic and chaotic oscillations, are predicted in both environments under seasonal variations. The projected levels of ammonia and nitrite ions are similarly aligned with previously reported observations in natural ecosystems. By uncovering the dynamical complexity of nitrification process, this research can advance our comprehension of the nonlinear mechanisms underlying microbial nitrification in ecosystems.
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利用动态复杂性模拟微生物硝化过程并探索非线性机制
硝化是生态系统氮循环的关键步骤,是一个备受关注的重要问题。本研究通过建立一个新的动力学模型,将氨氧化过程和亚硝酸盐氧化过程的动力学结合起来,对硝化过程进行了研究。应用基于文献的参数值,研究了水生和土壤环境中硝化过程的动力学特征。预测了这两种环境在季节变化下的稳定共存平衡、周期振荡以及更复杂的硝化动力学,如准周期振荡和混沌振荡。预测的氨离子和亚硝酸离子水平与之前报告的自然生态系统中的观测结果类似。通过揭示硝化过程的动态复杂性,这项研究可以促进我们对生态系统中微生物硝化的非线性机制的理解。
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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