Multitude number estimation based on species frequency

József Lakner, Éva Hajnal, Gábor Lakner, Judit Padisák

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The mathematical model for the change of species number in phytoplankton from Lake Stechlin was developed in the other our work, where the species was separated rare and frequent ones. In general case both type species can be settled in and extinct from the ecosystems can be transformed from each to other and a complicate (connected) differential equation system used for description could possible to be solved by ecosystems approximation. The results showed this separation into two types seemed to only be artificial, but it also has biological background, as it may reflect a real difference in the reproductive strategy of species. This latter suggested a little modified criterion compared with the earlier for the division, and the model applying for this case showed a real difference both two types, namely the rare species are stable and the frequent ones are dynamically, as well as that there is no transformation between the rare and frequent species defined in this way. A further consequence is that the differential equation system describing the processes has also become to be separated and they will be solvable one by one without approximation.

Original languageEnglish
Title of host publicationSAMI 2014 - IEEE 12th International Symposium on Applied Machine Intelligence and Informatics, Proceedings
PublisherIEEE Computer Society
Pages305-310
Number of pages6
ISBN (Print)9781479934423
DOIs
Publication statusPublished - Jan 1 2014
Event12th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2014 - Herl'any, Slovakia
Duration: Jan 23 2014Jan 25 2014

Publication series

NameSAMI 2014 - IEEE 12th International Symposium on Applied Machine Intelligence and Informatics, Proceedings

Other

Other12th IEEE International Symposium on Applied Machine Intelligence and Informatics, SAMI 2014
CountrySlovakia
CityHerl'any
Period1/23/141/25/14

Keywords

  • Mathematical model
  • extinction
  • phytoplankton
  • rare species
  • settling

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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  • Cite this

    Lakner, J., Hajnal, É., Lakner, G., & Padisák, J. (2014). Multitude number estimation based on species frequency. In SAMI 2014 - IEEE 12th International Symposium on Applied Machine Intelligence and Informatics, Proceedings (pp. 305-310). [6822427] (SAMI 2014 - IEEE 12th International Symposium on Applied Machine Intelligence and Informatics, Proceedings). IEEE Computer Society. https://doi.org/10.1109/SAMI.2014.6822427