描述共生相互作用中物候不匹配的几乎周期性模型。

IF 1.3 4区 生物学 Q3 BIOLOGY
Theory in Biosciences Pub Date : 2022-11-01 Epub Date: 2022-10-12 DOI:10.1007/s12064-022-00380-y
Díaz-Marín Homero, Osuna Osvaldo, Villavicencio-Pulido Geiser
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引用次数: 0

摘要

我们研究两个物种之间的季节性相互作用。该模型考虑了气候介导的变化,这种变化可以改变共生物种的物候特征。我们给出了模型参数保证全局稳定的条件。对与季节变化有关的不同情景进行了数值模拟。他们表明,如果使用周期时间依赖来近似一个几乎周期的时间依赖,那么不仅共生种群的密度,而且描述共生区间的重叠区间也可能被低估或高估。因此,使用几乎周期性的模型可以更充分地设计异步物候的保护策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An almost periodic model to describe phenology mismatches in mutualistic interactions.

An almost periodic model to describe phenology mismatches in mutualistic interactions.

We study seasonal mutualistic interactions between two species. The model takes into account the climate-mediated shifts that can change the phenologies of mutualistic species. We show conditions on the parameters of the model that guarantee global stability. Numerical simulations are performed for different scenarios associated with seasonal changes. They show that if periodic time-dependence is used to approximate an almost periodic one, then not only the densities of the mutualistic populations but also the overlapping intervals describing the interval of co-occurrence can be either underestimated or overestimated. Therefore, using an almost periodic model can be more adequate to design conservation strategies for asynchronous phenology.

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来源期刊
Theory in Biosciences
Theory in Biosciences 生物-生物学
CiteScore
2.70
自引率
9.10%
发文量
21
审稿时长
3 months
期刊介绍: Theory in Biosciences focuses on new concepts in theoretical biology. It also includes analytical and modelling approaches as well as philosophical and historical issues. Central topics are: Artificial Life; Bioinformatics with a focus on novel methods, phenomena, and interpretations; Bioinspired Modeling; Complexity, Robustness, and Resilience; Embodied Cognition; Evolutionary Biology; Evo-Devo; Game Theoretic Modeling; Genetics; History of Biology; Language Evolution; Mathematical Biology; Origin of Life; Philosophy of Biology; Population Biology; Systems Biology; Theoretical Ecology; Theoretical Molecular Biology; Theoretical Neuroscience & Cognition.
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