{"title":"Modelling the wind effect in predator–prey interactions","authors":"Saheb Pal , Nikhil Pal","doi":"10.1016/j.matcom.2024.12.014","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding how abiotic factors affect predator–prey interaction is essential due to rapid anthropogenic climate change. Field experiments showed that wind speed (one of the most common abiotic factors) significantly affects the predator’s attack rate, which could be positive or negative. Motivated by the experimental study of Quinn and Cresswell (2004), in the present paper, we investigate the impact of wind speed on a well-known Gause-type model and consider that moderate wind speed benefits predators by increasing their attack rate, whereas enormous wind speed is detrimental for predators by decreasing their attack rate. We explore the system’s dynamical behaviour in biparameter space and provide theoretical proof of global stability of the unique coexistence equilibrium. We observe the existence of a unique and stable limit cycle, two successive transcritical bifurcations, the bubbling phenomenon, etc. Our findings reveal that under the low carrying capacity of prey, the coexistence of the species is possible only for an intermediate range of wind strength. We also observe that wind strength acts as a control parameter in forming and eliminating oscillations within the system. So, wind can have both stabilizing and destabilizing effects. Further, we explore the variation of population densities by changing the wind strength and carrying capacity. We observe that the prey density depends only on the wind strength. In contrast, the predator density depends on both wind strength and carrying capacity, where half of the prey’s carrying capacity plays a vital role in the variation of density. So, the effect of wind on predator–prey interactions is diverse and depends on several factors, including the species’ environmental carrying capacity.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"232 ","pages":"Pages 75-90"},"PeriodicalIF":4.4000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics and Computers in Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378475424004865","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding how abiotic factors affect predator–prey interaction is essential due to rapid anthropogenic climate change. Field experiments showed that wind speed (one of the most common abiotic factors) significantly affects the predator’s attack rate, which could be positive or negative. Motivated by the experimental study of Quinn and Cresswell (2004), in the present paper, we investigate the impact of wind speed on a well-known Gause-type model and consider that moderate wind speed benefits predators by increasing their attack rate, whereas enormous wind speed is detrimental for predators by decreasing their attack rate. We explore the system’s dynamical behaviour in biparameter space and provide theoretical proof of global stability of the unique coexistence equilibrium. We observe the existence of a unique and stable limit cycle, two successive transcritical bifurcations, the bubbling phenomenon, etc. Our findings reveal that under the low carrying capacity of prey, the coexistence of the species is possible only for an intermediate range of wind strength. We also observe that wind strength acts as a control parameter in forming and eliminating oscillations within the system. So, wind can have both stabilizing and destabilizing effects. Further, we explore the variation of population densities by changing the wind strength and carrying capacity. We observe that the prey density depends only on the wind strength. In contrast, the predator density depends on both wind strength and carrying capacity, where half of the prey’s carrying capacity plays a vital role in the variation of density. So, the effect of wind on predator–prey interactions is diverse and depends on several factors, including the species’ environmental carrying capacity.
期刊介绍:
The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles.
Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO.
Topics covered by the journal include mathematical tools in:
•The foundations of systems modelling
•Numerical analysis and the development of algorithms for simulation
They also include considerations about computer hardware for simulation and about special software and compilers.
The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research.
The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.