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In biomathematics, the Kolmogorov population model, also known as the Kolmogorov equations in population dynamics, is a mathematical framework developed by Soviet mathematician Andrei Kolmogorov in 1936 that generalizes predator-prey interactions and population dynamics. The model was an improvement over earlier predator-prey models, notably ...
The Lotka–Volterra system of equations is an example of a Kolmogorov population model (not to be confused with the better known Kolmogorov equations), [2] [3] [4] which is a more general framework that can model the dynamics of ecological systems with predator–prey interactions, competition, disease, and mutualism.
Because the number of prey harvested by each predator decreases as predators become more dense, ratio-dependent predation is a way of incorporating predator intraspecific competition for food. Ratio-dependent predation may account for heterogeneity in large-scale natural systems in which predator efficiency decreases when prey is scarce. [ 1 ]
In this model, if e < m, the steady state value of p is 1 – (e/m) while in the other case, all the patches will eventually be left empty. This model may be made more complex by addition of another species in several different ways, including but not limited to game theoretic approaches, predator–prey interactions, etc.
Coupled with the kill rate, the predation rate drives the population dynamics of predation. [1]. This statistic is related to Predator–prey dynamics and may be influenced by several factors. In order for predation to occur, a predator and its prey must encounter one another. A low concentration of prey decreases the likelihood of such encounters.
The Lotka–Volterra predator–prey model describes the basic population dynamics under predation. The solution to these equations in the simple one-predator species, one-prey species model is a stable linked oscillation of population levels for both predator and prey.
English: The Phase plot for Lotka-Volterra model for predator-prey dynamics for varying initial populations of the predator. The parameters are: alpha = 1.1 # prey growth rate beta = 0.4 # prey death rate gamma = 0.4 # predator death rate delta = 0.1 # predator growth rate . x0 = 10 # initial prey population
In the 1930s Alexander Nicholson and Victor Bailey developed a model to describe the population dynamics of a coupled predator–prey system. The model assumes that predators search for prey at random, and that both predators and prey are assumed to be distributed in a non-contiguous ("clumped") fashion in the environment. [30]