Monitoring biodiversity on highly reactive rock-paper-scissors models

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED Applied Mathematics and Computation Pub Date : 2025-10-01 Epub Date: 2025-04-23 DOI:10.1016/j.amc.2025.129474
D. Bazeia , M.J.B. Ferreira , B.F. de Oliveira , W.A. dos Santos
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Abstract

This work investigates how biodiversity is affected in a cyclic spatial May-Leonard model with hierarchical and non-hierarchical rules. Here we propose a generalization of the traditional rock-paper-scissors model by considering highly reactive species, i.e., species that react in a stronger manner compared to the others in respect to either competition or reproduction. These two classes of models, called here Highly Competitive and Highly Reproductive models, may lead to hierarchical and non-hierarchical dynamics, depending on the number of highly reactive species. The fundamental feature of these models is the fact that hierarchical models may as well support biodiversity, however, with a higher probability of extinction than the non-hierarchical ones, which are in fact more robust. This analysis is done by evaluating the probability of extinction as a function of mobility. In particular, we have analyzed how the dominance scheme changes depending on the highly reactive species for non-hierarchical models, where the findings lead to the conclusion that highly reactive species are usually at a disadvantage compared to the others. Moreover, we have investigated the power spectrum and the characteristic length of each species, including more information on the behavior of the several systems considered in the present work.
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用高度反应的石头剪刀布模型监测生物多样性
这项工作探讨了生物多样性是如何影响循环空间May-Leonard模型与层次和非层次规则。在这里,我们通过考虑高度反应的物种,即在竞争或繁殖方面比其他物种反应更强烈的物种,提出了传统石头剪刀布模型的概括。这两类模型,在这里被称为高度竞争和高度繁殖模型,可能导致等级和非等级动态,取决于高度反应的物种的数量。这些模型的基本特征是,层次模型也可能支持生物多样性,然而,与实际上更健壮的非层次模型相比,它具有更高的灭绝概率。这种分析是通过评估灭绝概率作为流动性的函数来完成的。特别是,我们分析了非分层模型的优势方案是如何根据高活性物种而变化的,研究结果得出结论,高活性物种通常比其他物种处于劣势。此外,我们还研究了每个物种的功率谱和特征长度,包括本工作中考虑的几个系统的行为的更多信息。
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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