Md. Mutakabbir Khan, Md. Jasim Uddin, Abdul Qadeer Khan
{"title":"Qualitative Analysis of a Leslie–Gower Discrete Prey–Predator System With Allee Effect Under Deterministic and Stochastic Environment","authors":"Md. Mutakabbir Khan, Md. Jasim Uddin, Abdul Qadeer Khan","doi":"10.1155/cplx/1425900","DOIUrl":null,"url":null,"abstract":"<p>This work examines a two-dimensional discrete Leslie-type predator–prey system in which the prey dynamics are subject to the Allee effect. The primary objective is to determine equilibrium states and examine bifurcation phenomena in the neighborhood of the positive fixed point, highlighting their ecological significance. The analysis of the interior equilibrium confirms that the model undergoes several essential dynamical changes, including one-parameter bifurcations together with period-doubling and Neimark–Sacker bifurcation mechanisms. To clarify the structure of these transitions, the associated nondegeneracy requirements are established and the critical normal form coefficients are explicitly evaluated. The chaotic responses and bifurcation-generated oscillations are subsequently suppressed through the combined use of state–feedback control and the Ott–Grebogi–Yorke (OGY) strategy. Biologically, the results emphasize the central role of the Allee effect in regulating predator–prey behavior. More precisely, a moderate Allee influence tends to stabilize the interacting populations, promote their coexistence, and strengthen the long-term viability of the ecosystem. Moreover, the bifurcation properties of the discrete predator–prey system are also explored in a coupled network framework. The numerical results show that when the coupling intensity surpasses a critical threshold, the network dynamics become chaotic and display intricate, irregular oscillatory patterns. In addition, stochastic simulations based on the Euler–Maruyama scheme were performed to examine system behavior under environmental variability, allowing the model to reflect diverse ecological conditions.</p>","PeriodicalId":50653,"journal":{"name":"Complexity","volume":"2026 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2026-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/cplx/1425900","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Complexity","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/cplx/1425900","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This work examines a two-dimensional discrete Leslie-type predator–prey system in which the prey dynamics are subject to the Allee effect. The primary objective is to determine equilibrium states and examine bifurcation phenomena in the neighborhood of the positive fixed point, highlighting their ecological significance. The analysis of the interior equilibrium confirms that the model undergoes several essential dynamical changes, including one-parameter bifurcations together with period-doubling and Neimark–Sacker bifurcation mechanisms. To clarify the structure of these transitions, the associated nondegeneracy requirements are established and the critical normal form coefficients are explicitly evaluated. The chaotic responses and bifurcation-generated oscillations are subsequently suppressed through the combined use of state–feedback control and the Ott–Grebogi–Yorke (OGY) strategy. Biologically, the results emphasize the central role of the Allee effect in regulating predator–prey behavior. More precisely, a moderate Allee influence tends to stabilize the interacting populations, promote their coexistence, and strengthen the long-term viability of the ecosystem. Moreover, the bifurcation properties of the discrete predator–prey system are also explored in a coupled network framework. The numerical results show that when the coupling intensity surpasses a critical threshold, the network dynamics become chaotic and display intricate, irregular oscillatory patterns. In addition, stochastic simulations based on the Euler–Maruyama scheme were performed to examine system behavior under environmental variability, allowing the model to reflect diverse ecological conditions.
期刊介绍:
Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.