Computer Research and Modeling
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Research and Modeling:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Research and Modeling, 2017, Volume 9, Issue 5, Pages 815–824
DOI: https://doi.org/10.20537/2076-7633-2017-9-5-815-824
(Mi crm101)
 

This article is cited in 1 scientific paper (total in 1 paper)

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

Spatiotemporal dynamics and the principle of competitive exclusion in community

E. E. Girichevaab, A. I. Abakumovba

a Institute of Automation and Control Processes, Radio st. 5, Vladivostok, 690041, Russia
b Far Eastern Federal University, Sukhanov st. 8, Vladivostok, 690950, Russia
References:
Abstract: Execution or violation of the principle of competitive exclusion in communities is the subject of many studies. The principle of competitive exclusion means that coexistence of species in community is impossible if the number of species exceeds the number of controlling mutually independent factors. At that time there are many examples displaying the violations of this principle in the natural systems. The explanations for this paradox vary from inexact identification of the set of factors to various types of spatial and temporal heterogeneities. One of the factors breaking the principle of competitive exclusion is intraspecific competition. This study holds the model of community with two species and one influencing factor with density-dependent mortality and spatial heterogeneity. For such models possibility of the existence of stable equilibrium is proved in case of spatial homogeneity and negative effect of the species on the factor. Our purpose is analysis of possible variants of dynamics of the system with spatial heterogeneity under the various directions of the species effect on the influencing factor. Numerical analysis showed that there is stable coexistence of the species agreed with homogenous spatial distributions of the species if the species effects on the influencing factor are negative. Density-dependent mortality and spatial heterogeneity lead to violation of the principle of competitive exclusion when equilibriums are Turing unstable. In this case stable spatial heterogeneous patterns can arise. It is shown that Turing instability is possible if at least one of the species effects is positive. Model nonlinearity and spatial heterogeneity cause violation of the principle of competitive exclusion in terms of both stable spatial homogenous states and quasi-stable spatial heterogeneous patterns.
Keywords: community, species composition, mathematical model, factor, Turing instability.
Received: 03.07.2017
Accepted: 29.09.2017
Document Type: Article
UDC: 51-76+574.38+57.038
Language: Russian
Citation: E. E. Giricheva, A. I. Abakumov, “Spatiotemporal dynamics and the principle of competitive exclusion in community”, Computer Research and Modeling, 9:5 (2017), 815–824
Citation in format AMSBIB
\Bibitem{GirAba17}
\by E.~E.~Giricheva, A.~I.~Abakumov
\paper Spatiotemporal dynamics and the principle of competitive exclusion in community
\jour Computer Research and Modeling
\yr 2017
\vol 9
\issue 5
\pages 815--824
\mathnet{http://mi.mathnet.ru/crm101}
\crossref{https://doi.org/10.20537/2076-7633-2017-9-5-815-824}
Linking options:
  • https://www.mathnet.ru/eng/crm101
  • https://www.mathnet.ru/eng/crm/v9/i5/p815
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
    Statistics & downloads:
    Abstract page:250
    Full-text PDF :113
    References:35
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024