Mass action in two-sex population models: encounters, mating encounters and the associated numerical correction
Ideal gas models are a paradigm used in Biology for the phenomenological modelling of encounters between individuals of different types. These models have been used to approximate encounter rates given densities, velocities and distance within which an encounter certainly occurs. When using mass act...
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| Published in | Letters in biomathematics Vol. 4; no. 1; pp. 101 - 111 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Taylor & Francis
01.01.2017
Intercollegiate Biomathematics Alliance |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2373-7867 2373-7867 |
| DOI | 10.1080/23737867.2017.1302827 |
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| Summary: | Ideal gas models are a paradigm used in Biology for the phenomenological modelling of encounters between individuals of different types. These models have been used to approximate encounter rates given densities, velocities and distance within which an encounter certainly occurs. When using mass action in two-sex populations, however, it is necessary to recognize the difference between encounters and mating encounters. While the former refers in general to the (possibly simultaneous) collisions between particles, the latter represents pair formation that will produce offspring. The classical formulation of the law of mass action does not account this difference. In this short paper, we present an alternative derivation of the law of mass action that uses dimensional reduction together with simulated data. This straightforward approach allows to correct the expression for the rate of mating encounters between individuals in a two-sex population with relative ease. In addition, variability in mating encounter rates (due to environmental stochasticity) is numerically explored through random fluctuations on the new mass action proportionality constant. The simulations show how the conditioned time to extinction in a population subject to a reproductive Allee effect is affected. |
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| ISSN: | 2373-7867 2373-7867 |
| DOI: | 10.1080/23737867.2017.1302827 |