Positive steady state in multi-species models of real food webs
Alexander Pimenov

TL;DR
This paper introduces a parameterization algorithm for multi-species food web models that ensures positive steady states, enhancing species persistence and addressing extinction issues in theoretical ecological studies.
Contribution
A novel parameterization method is proposed to guarantee positive steady states in multi-species food web models, improving their ecological realism.
Findings
Algorithm ensures positive steady states in models
Increases species persistence in simulations
Addresses species extinction problems
Abstract
Real food web data available in the literature presents us with the relations between various species, sizes of these species, metabolic types of the species and other useful information, which allows us to define parameters for the mathematical dynamical models of these food webs, and perform theoretical studies of these models. Unfortunately, the researches often face the problem of the extinction of the species in such situations, which could be an important limiting factor. In this paper, we propose a simple algorithm of parameterisation that leads to the existence of positive steady state and improves persistence of the species in multi-species models of real food webs.
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Taxonomy
TopicsEvolution and Genetic Dynamics · Plant and animal studies · Evolutionary Game Theory and Cooperation
