Analytic and Simulation Modeling of Plant-Animal Populations in Russian Tundra
Computational Biology and Bioinformatics
Volume 2, Issue 3, June 2014, Pages: 43-51
Received: Jun. 26, 2014; Accepted: Jul. 8, 2014; Published: Jul. 20, 2014
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Trashcheev Rostislav, Institute of Fundamental Problems of Biology of the Russian Academy of Sciences, Pushchino, Russia
Boranbayev Askar, Nazarbayev University, Astana, Republic of Kazakhstan
Boranbayev Seilkhan, L. N. Gumilyov Eurasian National University, Astana, Republic of Kazakhstan
Sarancha Dmitry, Dorodnitsyn Computing Centre of the Russian Academy of Sciences, Moscow, Russia
Lyulyakin Oleg, Dorodnitsyn Computing Centre of the Russian Academy of Sciences, Moscow, Russia
Yurezanskaya Yulia, Dorodnitsyn Computing Centre of the Russian Academy of Sciences, Moscow, Russia
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This article describes a mathematical modeling method of an ecological biology system; this method uses computers. Hypotheses about the leading mechanisms of fluctuations for tundra animals population’s number are formulated. An analysis of difference and differential equations and their manifestations in the community model “vegetation – lemmings – arctic foxes” and in an individual-oriented model of a lemming population are performed. This method uses research results including a full set of operations, namely from a substantiation of an object choice, a selection and processing of a biological information to the construction of a set of interconnected models. The given approach is used in the analysis of animal fluctuations by means of the tundra community models “vegetation – lemmings – arctic foxes”, “vegetation – reindeer”, and the individual-oriented model of the lemming population.
Ecology of Biosystems, Tundra Populations, Chaos, System Dynamics
To cite this article
Trashcheev Rostislav, Boranbayev Askar, Boranbayev Seilkhan, Sarancha Dmitry, Lyulyakin Oleg, Yurezanskaya Yulia, Analytic and Simulation Modeling of Plant-Animal Populations in Russian Tundra, Computational Biology and Bioinformatics. Vol. 2, No. 3, 2014, pp. 43-51. doi: 10.11648/j.cbb.20140203.13
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