Article ID: | iaor20131912 |
Volume: | 74 |
Issue: | 2 |
Start Page Number: | 240 |
End Page Number: | 251 |
Publication Date: | Feb 2013 |
Journal: | Automation and Remote Control |
Authors: | Glushkov V, Sarancha D |
Keywords: | simulation, ecology |
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.