Kolmogorov population model
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 equations, by incorporating more realistic biological assumptions and providing a qualitative analysis of population dynamics.[1]
History
[edit]The development of the Kolmogorov population model was influenced by Kolmogorov's early interest in biology during his schoolboy years. Despite being primarily known for his contributions to probability theory and information theory, Kolmogorov made several large contributions to biomathematics.[2] The model was particularly inspired by the work of Italian physicist Vito Volterra, who had developed his predator-prey equations based on observations of fish populations in the Adriatic Sea during World War I. Volterra's work showed that during the war, when fishing was reduced due to military activities, the proportion of predator fish increased while prey fish decreased.[3]
Definition
[edit]The Kolmogorov population model is expressed as a system of differential equations
where represents the prey population, represents the predator population, and and are continuously differentiable functions describing the growth rates of the respective populations. The rates of population change decrease as predator numbers increase:
- .
The system must admit invasion by predators when prey is present in isolation; that is, , where represents the carrying capacity of the prey population.[4]
Applications
[edit]The Kolmogorov model addresses a limitation of the Volterra equations by imposing self-limiting growth in prey populations, preventing unrealistic exponential growth scenarios. It also provides a predictive model for the qualitative behavior of predator-prey systems without requiring explicit functional forms for the interaction terms.[5] The model's contributions to theoretical ecology were not immediately recognized, with significant appreciation only emerging in the 1960s through the work of American ecologists Michael Rosenzweig and Robert H. MacArthur. Their research demonstrated how the model can be used to understand non-transitory oscillations in ecological systems and the conditions for local stability of predator-prey interactions.[6]
Recent research has shown that Kolmogorov systems can exhibit complex behaviors, including the existence of strange attractors and robust permanent subsystems, implying that even deterministic predator-prey interactions can lead to unpredictable long-term dynamics.[7]
See also
[edit]References
[edit]- ^ Sigmund, Karl (1936). "Kolmogorov and population dynamics". Giornale Istituto Ital. Attuari. 7: 74–80.
- ^ Kolmogorov, A.N. (2000). Kolmogorov in Perspective. American Math. Soc.
- ^ Kingsland, S. (1985). Modeling Nature: Episodes in the History of Population Ecology. Univ. of Chicago Press.
- ^ Freedman, H. (1980). "Deterministic mathematical models in population ecology". Marcel Dekker.
- ^ Holling, C.S. (1965). "The functional response of predators to prey density and its role in mimicry and population regulation". Mem. Ent. Soc. Can. 6: 1–60.
- ^ Rosenzweig, M.L.; MacArthur, R.H. (1963). "Graphical representation and stability conditions of predator-prey interactions". Amer. Naturalist. 97: 209–223.
- ^ Hofbauer, Josef; Schreiber, Sebastian J (2004-07-01). "To persist or not to persist?". Nonlinearity. 17 (4): 1393–1406. doi:10.1088/0951-7715/17/4/014. ISSN 0951-7715.