云杉芽虫与森林:ODE模型与布尔模型的定性比较

Q3 Mathematics
R. Robeva, D. Murrugarra
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引用次数: 15

摘要

生物系统的布尔模型和多项式模型最近作为微分方程模型的可行伙伴出现。然而,目前尚不清楚这些模型是否能够捕捉某些生物系统的多稳定行为:这种行为通常对模型参数值的变化很敏感,而布尔和多项式模型本质上是定性的。在过去的几年里,基因调控系统的布尔模型已经被证明可以在分子水平上捕获多稳定性,证实了这种模型可以用于在无法获得有关其参数的精确信息时获得有关系统定性动力学的信息。在本文中,我们研究了森林中budworm爆发的经典ODE模型的布尔近似,并表明这些模型表现出与ODE模型一致的定性行为。特别是,我们证明了这些模型可以捕捉昆虫种群爆发的双稳态性质,从而表明布尔模型可以成功地应用于分子水平之外。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The spruce budworm and forest: a qualitative comparison of ODE and Boolean models
Boolean and polynomial models of biological systems have emerged recently as viable companions to differential equations models. It is not immediately clear however whether such models are capable of capturing the multi-stable behaviour of certain biological systems: this behaviour is often sensitive to changes in the values of the model parameters, while Boolean and polynomial models are qualitative in nature. In the past few years, Boolean models of gene regulatory systems have been shown to capture multi-stability at the molecular level, confirming that such models can be used to obtain information about the system’s qualitative dynamics when precise information regarding its parameters may not be available. In this paper, we examine Boolean approximations of a classical ODE model of budworm outbreaks in a forest and show that these models exhibit a qualitative behaviour consistent with that derived from the ODE models. In particular, we demonstrate that these models can capture the bistable nature of insect population outbreaks, thus showing that Boolean models can be successfully utilized beyond the molecular level.
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来源期刊
Letters in Biomathematics
Letters in Biomathematics Mathematics-Statistics and Probability
CiteScore
2.00
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0.00%
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审稿时长
14 weeks
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