AbstractWe first introduce and analyze a variant of the deterministic single-substrate chemostat model. In this model, microbe removal and growth rates depend on biomass concentration, with removal terms increasing faster than growth terms. Using a comparison principle we show that persistence of all species is possible in this scenario. Then we turn to modelling the influence of random fluctuations by setting up and analyzing a stochastic differential equation. In particular, we show that random effects may lead to extinction in scenarios where the deterministic model predicts persistence. On the other hand, we also establish some stochastic persistence results
AbstractIn this paper, we consider a model describing predator–prey interactions in a chemostat that...
AbstractA chemostat model with general nonmonotone response functions is considered. The nutrient co...
This article is dedicated to the study and comparison of two chemostat-like competition models in a ...
We revisit the chemostat model with Haldane growth function, here subject to bounded random disturba...
We introduce two stochastic chemostat models consisting in a coupled population-nutrient process ref...
This paper formulates two 3D models using stochastic differential equations (SDEs) of two microbial ...
In this paper, we analyze a chemostat model with wall growth where the input flow is perturbed by tw...
Population dynamics and in particular microbial population dynamics, though they are complex but als...
In this talk, some different ways of modeling stochastic chemostats will be presented in order to ob...
We propose a model of chemostat where the bacterial population is individually-based, each bacterium...
In this paper we study a simple chemostat model influenced by white noise which makes this kind of ...
Understanding under what conditions populations, whether they be plants, animals, or viral ...
In this work, the simplest chemostat model, perturbing the input flow by means of the Ornstein-Uhlen...
The most indispensable work for microbial ecologists is to develop mathematical models in order to d...
Chemostat refers to a laboratory device used for growing microorganisms in a cultured environment, a...
AbstractIn this paper, we consider a model describing predator–prey interactions in a chemostat that...
AbstractA chemostat model with general nonmonotone response functions is considered. The nutrient co...
This article is dedicated to the study and comparison of two chemostat-like competition models in a ...
We revisit the chemostat model with Haldane growth function, here subject to bounded random disturba...
We introduce two stochastic chemostat models consisting in a coupled population-nutrient process ref...
This paper formulates two 3D models using stochastic differential equations (SDEs) of two microbial ...
In this paper, we analyze a chemostat model with wall growth where the input flow is perturbed by tw...
Population dynamics and in particular microbial population dynamics, though they are complex but als...
In this talk, some different ways of modeling stochastic chemostats will be presented in order to ob...
We propose a model of chemostat where the bacterial population is individually-based, each bacterium...
In this paper we study a simple chemostat model influenced by white noise which makes this kind of ...
Understanding under what conditions populations, whether they be plants, animals, or viral ...
In this work, the simplest chemostat model, perturbing the input flow by means of the Ornstein-Uhlen...
The most indispensable work for microbial ecologists is to develop mathematical models in order to d...
Chemostat refers to a laboratory device used for growing microorganisms in a cultured environment, a...
AbstractIn this paper, we consider a model describing predator–prey interactions in a chemostat that...
AbstractA chemostat model with general nonmonotone response functions is considered. The nutrient co...
This article is dedicated to the study and comparison of two chemostat-like competition models in a ...