Analysis of a May-Holling-Tanner ratio-dependent predator-prey model with an alternative food source for the predator and a strong Allee effect for the prey

This paper presents a detailed analysis of a bitrophic chain to understand the complex ecological behaviour applied to this specific model. The model is described by means of a two-dimensional system of ordinary differential equations. The existence and uniqueness of the solutions of this system are examined, as well as their boundedness and positivity. In addition, through a differentiable equivalence, conditions for local and global stability at biologically relevant critical points are established. Periodic solutions are also explored. Finally, the Python programming language is used to perform a quantitative analysis of these critical points, showing different scenarios of the qualitative analysis previously obtained.

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Publication Details

Journal
Mathematics in Applied Sciences and Engineering
Published
2024-12-11
DOI
https://doi.org/10.5206/mase/19417
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Analysis of a May-Holling-Tanner ratio-dependent predator-prey model with an alternative food source for the predator and a strong Allee effect for the prey

Marco-Antonio Romero-Ordoñez, Neisser Pino Romero, Jhelly Pérez
Mathematics in Applied Sciences and Engineering
Mathematical and Theoretical Epidemiology and Ecology Models
article

Analysis of a May-Holling-Tanner ratio-dependent predator-prey model with an alternative food source for the predator and a strong Allee effect for the prey

Marco-Antonio Romero-Ordoñez, Neisser Pino Romero, Jhelly Pérez
article en

Abstract

This paper presents a detailed analysis of a bitrophic chain to understand the complex ecological behaviour applied to this specific model. The model is described by means of a two-dimensional system of ordinary differential equations. The existence and uniqueness of the solutions of this system are examined, as well as their boundedness and positivity. In addition, through a differentiable equivalence, conditions for local and global stability at biologically relevant critical points are established. Periodic solutions are also explored. Finally, the Python programming language is used to perform a quantitative analysis of these critical points, showing different scenarios of the qualitative analysis previously obtained.

Mathematics in Applied Sciences and EngineeringVol. 5(4)
Universidad Peruana Cayetano Heredia (PE)
Zero hunger
Openalex Percentile: Top 65%
Mathematical and Theoretical Epidemiology and Ecology Models
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