• DocumentCode
    2225880
  • Title

    Species abundance distribution model for real periphyton samples

  • Author

    Hajnal, Éva ; Lakner, József ; Stenger-Kovács, Csilla

  • Author_Institution
    Alba Regia Univ. Center, Obuda Univ., Szekesfehervar, Hungary
  • fYear
    2012
  • fDate
    26-28 Jan. 2012
  • Firstpage
    365
  • Lastpage
    368
  • Abstract
    The recognition of abundance distribution of periphyton species is important both from theoretical ecological aspect, and from the view of the water monitoring practice. The periphyton species showed exponential distribution, but the rare species have an excess above the expected value. The distribution of the rare species can be hardly investigated by classical statistical methods, because the expected value and the standard deviation are in the same order of magnitude. The distribution function was modelled by computer. This software can generate a multitude by the resultant of two different types of distribution functions, and take random samples from it, according to the valid sampling standard. The artificial samples were compared to the real ones by different methods. The distribution of rare species was found to be uniform in the periphyton.
  • Keywords
    ecology; exponential distribution; sampling methods; statistical analysis; water supply; classical statistical methods; distribution functions; exponential distribution; periphyton samples; periphyton species; random samples; species abundance distribution model; theoretical ecological aspect; water monitoring practice; Biological system modeling; Communities; Correlation; Distribution functions; Mathematical model; Software; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2012 IEEE 10th International Symposium on
  • Conference_Location
    Herl´any
  • Print_ISBN
    978-1-4577-0196-2
  • Type

    conf

  • DOI
    10.1109/SAMI.2012.6208990
  • Filename
    6208990