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
Link To Document