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Avtomatika i Telemekhanika, 2013, Issue 2, Pages 94–108
(Mi at4344)
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This article is cited in 2 scientific papers (total in 2 papers)
Control in Social Economic Systems, Medicine, and Biology
A complex mathematical modeling method for biological objects. Modeling the tundra community
V. N. Glushkova, D. A. Saranchab a Vyatka State University, Vyatka, Russia
b Dorodnicyn Computing Centre, Russian Academy of Sciences, Moscow, Russia
Abstract:
We consider a method for mathematical modeling of ecologo-biological systems based on computational studies that unites formal and informal, analytic and imitational approaches. The method is based on complex studies that include a complete set of operations, from filtering biological information to constructing a set of interrelated models, including simplified ones, that admit an analytic (parametric) study. This lets us overcome the disadvantages of purely imitational approaches: they are restricted by numerical experiments and often have huge models. The proposed approach has been used to analyze animal population fluctuations with the tundra community model “vegetation–lemmings–arctic foxes”. As a result of our studies, we formulate hypotheses on leading mechanisms that determine the fluctuations of tundra animal populations.
Citation:
V. N. Glushkov, D. A. Sarancha, “A complex mathematical modeling method for biological objects. Modeling the tundra community”, Avtomat. i Telemekh., 2013, no. 2, 94–108; Autom. Remote Control, 74:2 (2013), 240–251
Linking options:
https://www.mathnet.ru/eng/at4344 https://www.mathnet.ru/eng/at/y2013/i2/p94
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Statistics & downloads: |
Abstract page: | 444 | Full-text PDF : | 127 | References: | 54 | First page: | 21 |
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