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 :
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