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Computer Research and Modeling, 2019, Volume 11, Issue 1, Pages 119–151
DOI: https://doi.org/10.20537/2076-7633-2019-11-1-119-151
(Mi crm701)
 

This article is cited in 32 scientific papers (total in 32 papers)

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

The key approaches and review of current researches on dynamics of structured and interacting populations

E. Ya. Frismana, M. P. Kulakova, O. L. Revutskayaa, O. L. Zhdanovaab, G. P. Neverovaab

a Institute for Complex Analysis of Regional Problems, Far Eastern Branch of RAS, 4 Sholom-Aleikhem st., Birobidzhan, 679016, Russia
b Institute of Automation and Control Processes, Far Eastern Branch of RAS, 5 Radio st., Vladivostok, 690041, Russia
References:
Abstract: The review and systematization of current papers on the mathematical modeling of population dynamics allow us to conclude the key interests of authors are two or three main research lines related to the description and analysis of the dynamics of both local structured populations and systems of interacting homogeneous populations as ecological community in physical space. The paper reviews and systematizes scientific studies and results obtained within the framework of dynamics of structured and interacting populations to date. The paper describes the scientific idea progress in the direction of complicating models from the classical Malthus model to the modern models with various factors affecting population dynamics in the issues dealing with modeling the local population size dynamics. In particular, they consider the dynamic effects that arise as a result of taking into account the environmental capacity, density-dependent regulation, the Allee effect, complexity of an age and a stage structures. Particular attention is paid to the multistability of population dynamics. In addition, studies analyzing harvest effect on structured population dynamics and an appearance of the hydra effect are presented. The studies dealing with an appearance and development of spatial dissipative structures in both spatially separated populations and communities with migrations are discussed. Here, special attention is also paid to the frequency and phase multistability of population dynamics, as well as to an appearance of spatial clusters. During the systematization and review of articles on modeling the interacting population dynamics, the focus is on the “prey-predator” community. The key idea and approaches used in current mathematical biology to model a “prey-predator” system with community structure and harvesting are presented. The problems of an appearance and stability of the mosaic structure in communities distributed spatially and coupled by migration are also briefly discussed.
Keywords: population dynamics, structured population, biological community, “prey-predator” interaction, populations coupled by migration, matapopulation.
Funding agency Grant number
Russian Foundation for Basic Research 18-51-45004
Russian Academy of Sciences - Federal Agency for Scientific Organizations 18-5-013
The work was partially supported by the Russian Foundation for Basic Research (18-51-45004 IND_a) and the FEBRAS Fundamental Research Complex Program “Far East” (No. 18-5-013).
Received: 19.08.2018
Revised: 11.12.2018
Accepted: 11.12.2018
Document Type: Article
UDC: 51-76:574.34
Language: Russian
Citation: E. Ya. Frisman, M. P. Kulakov, O. L. Revutskaya, O. L. Zhdanova, G. P. Neverova, “The key approaches and review of current researches on dynamics of structured and interacting populations”, Computer Research and Modeling, 11:1 (2019), 119–151
Citation in format AMSBIB
\Bibitem{FriKulRev19}
\by E.~Ya.~Frisman, M.~P.~Kulakov, O.~L.~Revutskaya, O.~L.~Zhdanova, G.~P.~Neverova
\paper The key approaches and review of current researches on dynamics of structured and interacting populations
\jour Computer Research and Modeling
\yr 2019
\vol 11
\issue 1
\pages 119--151
\mathnet{http://mi.mathnet.ru/crm701}
\crossref{https://doi.org/10.20537/2076-7633-2019-11-1-119-151}
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  • https://www.mathnet.ru/eng/crm/v11/i1/p119
  • This publication is cited in the following 32 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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    Computer Research and Modeling
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