{"title":"Dispersal- and harvesting-induced dynamics of single-species inhabited in minimal ring-shaped patches","authors":"Arjun Hasibuan , Bapan Ghosh , Asep K. Supriatna","doi":"10.1016/j.jocs.2025.102581","DOIUrl":null,"url":null,"abstract":"<div><div>We investigate two discrete-time models of a single-species dispersed between three patches located on a ring. The dynamic models are formulated by identical logistic maps with linear coupling. The co-existing equilibrium completely depends on the intrinsic growth rate and carrying capacity. However, stability depends only on intrinsic growth rate and dispersal rate. We shall analytically present the stability analysis of both the trivial and coexisting equilibrium in a two parameter plane. Our main focus is to explore the bifurcations at the coexisting equilibrium and their consequences in ecology. Increasing dispersal rate leads to a period-doubling bifurcation in the bi-directional dispersal model followed by a Neimark-Sacker bifurcation arising from each periodic branch. Our analysis reports the existence of either three stable 2-cycles or three distinct quasi-periodic modes resulting in either periodic–periodic–periodic multistability or quasiperiodic–quasiperiodic–quasiperiodic multistability. In contrast to the bi-directional model, only a Neimark-Sacker occurs in the uni-directional dispersal model for increasing dispersal rate. This uni-directional dispersal strategy does not exhibit any multistability. The co-existing equilibrium may experience an instability switching in both models while introducing harvesting in one of the patches. Under harvesting, the bi-directional model could induce a Neimark-Sacker bifurcation which is impossible to occur for increasing dispersal. We shall estimate the effort levels to achieve the same amount of harvested yield in both uni- and bi-directional dispersal models. These results might be interesting from biological conservation and fishery management viewpoints.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"87 ","pages":"Article 102581"},"PeriodicalIF":3.1000,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Science","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877750325000584","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
We investigate two discrete-time models of a single-species dispersed between three patches located on a ring. The dynamic models are formulated by identical logistic maps with linear coupling. The co-existing equilibrium completely depends on the intrinsic growth rate and carrying capacity. However, stability depends only on intrinsic growth rate and dispersal rate. We shall analytically present the stability analysis of both the trivial and coexisting equilibrium in a two parameter plane. Our main focus is to explore the bifurcations at the coexisting equilibrium and their consequences in ecology. Increasing dispersal rate leads to a period-doubling bifurcation in the bi-directional dispersal model followed by a Neimark-Sacker bifurcation arising from each periodic branch. Our analysis reports the existence of either three stable 2-cycles or three distinct quasi-periodic modes resulting in either periodic–periodic–periodic multistability or quasiperiodic–quasiperiodic–quasiperiodic multistability. In contrast to the bi-directional model, only a Neimark-Sacker occurs in the uni-directional dispersal model for increasing dispersal rate. This uni-directional dispersal strategy does not exhibit any multistability. The co-existing equilibrium may experience an instability switching in both models while introducing harvesting in one of the patches. Under harvesting, the bi-directional model could induce a Neimark-Sacker bifurcation which is impossible to occur for increasing dispersal. We shall estimate the effort levels to achieve the same amount of harvested yield in both uni- and bi-directional dispersal models. These results might be interesting from biological conservation and fishery management viewpoints.
期刊介绍:
Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory.
The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation.
This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods.
Computational science typically unifies three distinct elements:
• Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous);
• Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems;
• Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).