A trophic function was first introduced in the differential equations of the
Kolmogorov
Andrey Nikolaevich Kolmogorov ( rus, Андре́й Никола́евич Колмого́ров, p=ɐnˈdrʲej nʲɪkɐˈlajɪvʲɪtɕ kəlmɐˈɡorəf, a=Ru-Andrey Nikolaevich Kolmogorov.ogg, 25 April 1903 – 20 October 1987) was a Soviet ...
predator–prey model. It generalizes the linear case of predator–prey interaction firstly described by Volterra and Lotka in the
Lotka–Volterra equation. A trophic function represents the consumption of prey assuming a given number of predators. The trophic function (also referred to as the
functional response
A functional response in ecology is the intake rate of a consumer as a function of food density (the amount of food available in a given ecotope). It is associated with the numerical response, which is the reproduction rate of a consumer as a fu ...
) was widely applied in
chemical kinetics
Chemical kinetics, also known as reaction kinetics, is the branch of physical chemistry that is concerned with understanding the rates of chemical reactions. It is different from chemical thermodynamics, which deals with the direction in which a ...
,
biophysics
Biophysics is an interdisciplinary science that applies approaches and methods traditionally used in physics to study biological phenomena. Biophysics covers all scales of biological organization, from molecular to organismic and populations ...
,
mathematical physics
Mathematical physics is the development of mathematics, mathematical methods for application to problems in physics. The ''Journal of Mathematical Physics'' defines the field as "the application of mathematics to problems in physics and the de ...
and economics. In economics, "predator" and "prey" become various economic parameters such as prices and outputs of goods in various linked sectors such as processing and supply. These relationships, in turn, were found to behave similarly to the magnitudes in chemical kinetics, where the molecular analogues of predators and prey react chemically with each other.
These inter-disciplinary findings suggest the universal character of trophic functions and the predator–prey models in which they appear. They give general principles for the dynamic interactions of objects of different natures, so that the mathematical models worked out in one science may be applied to another. Trophic functions have proven useful in forecasting temporarily stable conditions (
limit cycle
In mathematics, in the study of dynamical systems with two-dimensional phase space, a limit cycle is a closed trajectory in phase space having the property that at least one other trajectory spirals into it either as time approaches infinity o ...
s and/or
attractor
In the mathematical field of dynamical systems, an attractor is a set of states toward which a system tends to evolve, for a wide variety of starting conditions of the system. System values that get close enough to the attractor values remain c ...
s) of the coupled dynamics of
predator
Predation is a biological interaction in which one organism, the predator, kills and eats another organism, its prey. It is one of a family of common List of feeding behaviours, feeding behaviours that includes parasitism and micropredation ...
and
prey
Predation is a biological interaction in which one organism, the predator, kills and eats another organism, its prey. It is one of a family of common feeding behaviours that includes parasitism and micropredation (which usually do not ki ...
. The
Pontryagin L.S. theorem on the inflection points of trophic functions guarantees the existence of a limit cycle in these systems.
Trophic functions are especially important in situations of chaos, when one has numerous interacting magnitudes and objects, as is particularly true in global economics. To define and forecast the dynamics in this case is scarcely possible with linear methods, but non-linear dynamic analysis involving trophic functions leads to the discovery of limit cycles or attractors. Since in nature there exist only temporarily stable objects, such limit cycles and attractors must exist in the dynamics of observed natural objects (chemistry, flora and fauna, economics, cosmology). The general theory suggests as-yet-unknown regularities in the dynamics of the various systems surrounding us.
Despite the success already achieved in research on trophic functions, the field still has great further theoretical potential and practical importance. Global economics, for instance, needs tools to forecast the dynamics of outputs and prices over a scale of at least 3–5 years, to maintain stable demand, not over-produce, and prevent crises such as that of 2008.
References
* Bulmer M.G. The theory of “prey-predator” oscillations. Theoretical Population Biology, vol. 9, issue 2, 1976, pp. 137–150.
* Freedman H. I. and Kuang Y. Uniqueness of limit cycles in liénard-type equations. Nonlinear Analysis, vol. 15, issue 4, 1990, pp. 333–338.
* Gakkhar S., Singh B. and Naji R.K. Dynamical behavior of two “predators” competing over a single “prey”. Biosystems, vol. 90, issue 3, 2007, pp. 808–817.
* Huang X.C. Limit cycles in a Kolmogorov-type model and its application in immunology. Mathematical and Computer Modelling, vol. 14, 1990, pp. 614–617
* Lotka, A.J. Elements of physical biology. Williams and Wilkins, Baltimore, 1925.
* Rai V., Anand M. and Upadhyay R.K. Trophic structure and dynamical complexity in simple ecological models. Ecological Complexity; vol. 4, issue 4, 2007, pp. 212–222.
* Svirejev, Y.M., Logofet, D.O. Stability of biologic communities (in Russian). Moscow: Nauka, 1978, pp. 94–112.
* Volterra V.. Variations and fluctuations of the number of individuals in animal species living together. In Animal Ecology. McGraw-Hill, 1931.
* Zhang, W.B. Synergetic economics. Time and change in non-linear economics. Berlin: Springer-Verlag, 1991, 261 p.
{{DEFAULTSORT:Trophic Function
Predation
Population models