Abstract:Anaerobic digestion enables the water industry to treat wastewater as a resource for generating energy and recovering valuable by-products. The complexity of the anaerobic digestion process has motivated the development of complex models. However, this complexity makes it intractable to pin-point stability and emergent behaviour. Here, the widely used Anaerobic Digestion Model No. 1 (ADM1) has been reduced to its very backbone, a syntrophic two-tiered microbial ‘food chain’ and a slightly more complex three-ti… Show more
“…More recently, the model described by [28] was extended by the addition of a third organism and substrate to create a three-tiered ‘food-web’ [24] , as shown in Fig. 1 .…”
Section: Introductionmentioning
confidence: 99%
“…Here, we pursue a generalised description and analysis of the model given by [24] . Chlorophenols are chemicals of importance due to their impact on the environment and to public health, their recalcitrance in food-webs and resistance to aerobic biodegradation via the oxygenase enzyme [21] .…”
HighlightsA three species microbial food-web is analysed to determine the existence and stability of steady-states.A generalised form of the model reduces the reliance on numerical assumptions.The analysis reveals the existence of unstable operating regions previously unobserved.The methodology provides opportunities for microbiologists to test the effect of species characteristics on the properties of the food-web.
“…More recently, the model described by [28] was extended by the addition of a third organism and substrate to create a three-tiered ‘food-web’ [24] , as shown in Fig. 1 .…”
Section: Introductionmentioning
confidence: 99%
“…Here, we pursue a generalised description and analysis of the model given by [24] . Chlorophenols are chemicals of importance due to their impact on the environment and to public health, their recalcitrance in food-webs and resistance to aerobic biodegradation via the oxygenase enzyme [21] .…”
HighlightsA three species microbial food-web is analysed to determine the existence and stability of steady-states.A generalised form of the model reduces the reliance on numerical assumptions.The analysis reveals the existence of unstable operating regions previously unobserved.The methodology provides opportunities for microbiologists to test the effect of species characteristics on the properties of the food-web.
“…On the other hand, our study describes the operating diagram which shows the stability regions, in dependence of the operating parameters D and S in , when all biological parameters are fixed. This bifurcation diagram is an important tool for the experimentation as discussed in [1,12,42,48,49].…”
This paper deals with a two-microbial species model in competition for a single-resource in the chemostat including general intra- and interspecific density-dependent growth rates with distinct removal rates for each species. In order to understand the effects of intra- and interspecific interference, this general model is first studied by determining the conditions of existence and local stability of steady states. With the same removal rate, the model can be reduced to a planar system and then the global stability results for each steady state are derived. The bifurcations of steady states according to interspecific interference parameters are analyzed in a particular case of density-dependent growth rates which are usually used in the literature. The operating diagrams show how the model behaves by varying the operating parameters and illustrate the effect of the intra- and interspecific interference on the disappearance of coexistence region and the occurrence of bi-stability region. Concerning the small enough interspecific interference terms, we would shed light on the global convergence towards the coexistence steady state for any positive initial condition. When the interspecific interference pressure is large enough this system exhibits bi-stability where the issue of the competition depends on the initial condition.
“…Here, we have taken six common ecological motifs describing interactions between two distinct species, plus one extended motif that consists of three interacting species. The seven motifs, described in Table 1, are simple networks commonly observed at both micro-and macro-scales, and provide a theoretical basis by which scientists can test hypotheses in suitably sized community networks [15,20,30,31].…”
Section: Description Of Motifsmentioning
confidence: 99%
“…1, and described by Eqs (10)- (19), with units expressed in COD. To parameterise the model, we took the values given in a previous analysis performed independently of MI-Sim [31], with a revised and more realistic value for the substrate affinity constant, K S,1 , shown in Table 2. The model is described by the six ODEs: Fig 1. A three species food-web with competitive and syntrophic interactions.…”
Section: Example: a Three-tiered Food-webmentioning
Food-webs and other classes of ecological network motifs, are a means of describing feeding relationships between consumers and producers in an ecosystem. They have application across scales where they differ only in the underlying characteristics of the organisms and substrates describing the system. Mathematical modelling, using mechanistic approaches to describe the dynamic behaviour and properties of the system through sets of ordinary differential equations, has been used extensively in ecology. Models allow simulation of the dynamics of the various motifs and their numerical analysis provides a greater understanding of the interplay between the system components and their intrinsic properties. We have developed the software for use with to allow a rigorous and rapid numerical analysis of several common ecological motifs. contains a series of the most commonly used motifs such as cooperation, competition and predation. It does not require detailed knowledge of mathematical analytical techniques and is offered as a single graphical user interface containing all input and output options. The tools available in the current version of include model simulation, steady-state existence and stability analysis, and basin of attraction analysis. The software includes seven ecological interaction motifs and seven growth function models. Unlike other system analysis tools, is designed as a simple and user-friendly tool specific to ecological population type models, allowing for rapid assessment of their dynamical and behavioural properties.
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