An approximation of populations on a habitat with large carrying capacity

IF 2.3 4区 数学 Q2 BIOLOGY Journal of Mathematical Biology Pub Date : 2024-03-18 DOI:10.1007/s00285-024-02069-w
Naor Bauman, Pavel Chigansky, Fima Klebaner
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引用次数: 0

Abstract

We consider stochastic dynamics of a population which starts from a small colony on a habitat with large but limited carrying capacity. A common heuristics suggests that such population grows initially as a Galton–Watson branching process and then its size follows an almost deterministic path until reaching its maximum, sustainable by the habitat. In this paper we put forward an alternative and, in fact, more accurate approximation which suggests that the population size behaves as a special nonlinear transformation of the Galton–Watson process from the very beginning.

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具有较大承载能力的栖息地上种群的近似值
我们考虑的是一个种群的随机动态变化,该种群从一个小群落开始,生活在一个承载力大但有限的栖息地上。一种常见的启发式方法认为,这种种群最初是以加尔顿-沃森(Galton-Watson)分支过程的形式增长的,然后其规模会沿着一条几乎确定的路径发展,直至达到最大值,并由栖息地所维持。在本文中,我们提出了另一种更准确的近似方法,即种群数量从一开始就表现为加尔顿-沃森过程的特殊非线性变换。
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来源期刊
CiteScore
3.30
自引率
5.30%
发文量
120
审稿时长
6 months
期刊介绍: The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.
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