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在均匀灾难下的人口增长模型

Growth Models Under Uniform Catastrophes

University of São Paulo(圣保罗大学);Federal University of Goias(戈亚斯联邦大学);Universidad de Antioquia(安提奥基亚大学)

Joan Amaya, Valdivino V. Junior, Fábio P. Machado, Alejandro Roldán-Correa

AI总结:

本文研究了在均匀灾难下的人口增长模型,推导了生存概率和灭绝时间的表达式,并比较了不同灾难类型对种群持续性的影响。

摘要:

我们考虑了由群体组织并受均匀灾难影响的人口随机增长模型。为了评估种群的生存能力,我们分析了个体在灾难事件后采用分散策略的场景。对于这些模型,我们推导出生存概率和灭绝平均时间的显式表达式,包括有无空间约束的情况。此外,我们通过比较均匀灾难与二项式和几何灾难在具有分散性和无空间限制的模型中的情况,补充了这一分析。这里的术语均匀、二项式和几何指的是决定灾难后存活个体数的概率分布。这种比较使我们能够量化不同类型的灾难事件对种群持续性的影响。

英文摘要:

We consider stochastic growth models for populations organized in colonies and subject to uniform catastrophes. To assess population viability, we analyze scenarios in which individuals adopt dispersion strategies after catastrophic events. For these models, we derive explicit expressions for the survival probability and the mean time to extinction, both with and without spatial constraints. In addition, we complement this analysis by comparing uniform catastrophes with binomial and geometric catastrophes in models with dispersion and no spatial restrictions. Here, the terms uniform, binomial and geometric refer to the probability distributions governing the number of individuals that survive immediately after a catastrophe. This comparison allows us to quantify the impact of different types of catastrophic events on population persistence.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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