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PSPManalysis: Steady‐state and bifurcation analysis of physiologically structured population models
Methods in Ecology and Evolution ( IF 6.6 ) Pub Date : 2020-11-15 , DOI: 10.1111/2041-210x.13527
André M. Roos 1, 2
Affiliation  

  1. How environmental conditions affect the life history of individuals and how these effects shape population and community dynamics on ecological and evolutionary time‐scales is a central question in many eco‐evolutionary studies.
  2. Physiologically structured population models (PSPMs) allow to address this question theoretically as PSPMs are built on a function‐based life‐history model, which explicitly describes how life history depends on individual traits and environmental factors. PSPMs furthermore explicitly account for population feedback on these environmental factors, which translates into density‐dependent effects on life history.
  3. PSPManalysis is an r package that allows to simulate ecological dynamics of PSPMs, compute their ecological steady states as a function of model parameters and detect bifurcation points in the computed curves where dynamics change drastically. It furthermore allows for analysing evolutionary dynamics and evolutionary singular states of PSPMs based on Adaptive Dynamics theory. The package only requires a relatively straightforward specification of the life‐history functions as input.
  4. Compared to dynamic simulations alone, PSPManalysis uses methods from bifurcation analysis to gain a more complete and comprehensive understanding of model behaviour which is much less dependent on particular parameter values or initial model conditions. Given the central role of the individual life history in many studies, there is substantial scope for using PSPManalysis in fields as diverse as ecology, ecotoxicology, conservation biology and evolutionary biology.


中文翻译:

PSPManalysis:生理结构人口模型的稳态和分叉分析

  1. 在许多生态进化研究中,环境条件如何影响个体的生活史以及这些影响如何影响生态和进化时间尺度上的人口和社区动态。
  2. 生理结构人口模型(PSPM)可以从理论上解决这个问题,因为PSPM建立在基于功能的生活历史模型的基础上,该模型明确描述了生活历史如何取决于个人特征和环境因素。PSPM还明确说明了人口对这些环境因素的反馈,这转化为对生活史的密度依赖性影响。
  3. PSPManalysis是一个r包,它可以模拟PSPM的生态动力学,根据模型参数计算其生态稳态,并检测动力学曲线急剧变化的计算曲线中的分叉点。此外,它还允许基于自适应动力学理论分析PSPM的演化动力学和演化奇异状态。该程序包只需要相对简单地指定生命历史功能作为输入。
  4. 与单独的动态仿真相比,PSPManalysis使用分叉分析中的方法来获得对模型行为的更完整和全面的了解,而对模型行为的依赖则更少地取决于特定的参数值或初始模型条件。鉴于个人生活史在许多研究中的核心作用,在生态,生态毒理学,保护生物学和进化生物学等众多领域中使用PSPManalysis的应用空间很大
更新日期:2020-11-15
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