Please use this identifier to cite or link to this item: http://hdl.handle.net/10662/21804
Title: Predator-prey density-dependent branching processes
Authors: Gutiérrez Pérez, Cristina
Minuesa Abril, Carmen
Keywords: Predator-prey model;Proceso de ramificación;Carrying capacity;Modelo depredador-presa;Branching process;Capacidad de carga;Extinction;Extinción;Growth rate;Tasa de crecimiento
Issue Date: 2022
Publisher: Taylor and Francis
Abstract: Two density-dependent branching processes are considered to model predator-prey populations. For both models, preys are considered to be the main food supply of predators. Moreover, in each generation the number of individuals of each species is distributed according to a binomial distribution with size given by the species population size and probability of success depending on the density of preys per predator at the current generation. The difference between the two proposed processes lies in the food supply of preys. In the first one, we consider that preys have all the food they need at their disposal while in the second one, we assume that the natural resources of the environment are limited and therefore there exists a competition among preys for food supplies. Results on the fixation and extinction of both species as well as conditions for the coexistence are provided for the first model. On the event of coexistence of both populations and on the prey fixation event, the limiting growth rates are obtained. For the second model, we prove that the extinction of the entire system occurs almost surely. Finally, the evolution of both models over the generations and our analytical findings are illustrated by simulated examples.
Description: This is an Accepted Manuscript of an article published by Taylor & Francis in the journal Stochastic Models on the 19th June, 2022, available at https://doi.org/10.1080/15326349.2022.2032755: C. Gutiérrez, C. Minuesa. Predator–prey density-dependent branching processes. Stochastic Models, 39(1): 265–292, 2022. DOI:10.1080/15326349.2022.2032755
URI: http://hdl.handle.net/10662/21804
DOI: 10.1080/15326349.2022.2032755
Appears in Collections:DMATE - Artículos

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