2007
			
	    
	
	
    Biodiversity: a Principle of Life in the Hands of Computational Science
DUŠEK, Ladislav; Jiří JARKOVSKÝ; Jana KOPTÍKOVÁ; Danka NÉMETHOVÁ; Vratislav KUBÍK et. al.Základní údaje
Originální název
Biodiversity: a Principle of Life in the Hands of Computational Science
	Název česky
Biodiversity: a Principle of Life in the Hands of Computational Science
	Autoři
DUŠEK, Ladislav (203 Česká republika, garant); Jiří JARKOVSKÝ (203 Česká republika); Jana KOPTÍKOVÁ (203 Česká republika); Danka NÉMETHOVÁ (703 Slovensko); Vratislav KUBÍK (203 Česká republika); Jaroslav RÁČEK (203 Česká republika) a Jiří HŘEBÍČEK (203 Česká republika)
			Vydání
 1. vyd. Brno, Proceedings of the 3rd Internationl Summer School on Computational Biology, od s. 8-30, 23 s. 2007
			Nakladatel
Masaryk University
		Další údaje
Jazyk
angličtina
		Typ výsledku
Stať ve sborníku
		Obor
10600 1.6 Biological sciences
		Stát vydavatele
Česká republika
		Utajení
není předmětem státního či obchodního tajemství
		Kód RIV
RIV/00216224:14310/07:00022458
		Organizační jednotka
Přírodovědecká fakulta
			ISBN
978-80-210-4370-1
		Klíčová slova anglicky
biodiversity; diversity indices; species-abundance models; niche-oriented models
		Příznaky
Mezinárodní význam, Recenzováno
		
				
				Změněno: 21. 8. 2007 18:55, RNDr. Danka Haruštiaková, Ph.D.
				
		V originále
This paper has been prepared to provide a brief educational overview of biodiversity data as a subject of different types of studies. The biodiversity is defined in all levels of organization of biological systems, from molecular and genomic level to ecosystem scale. A special attention is given to the methodology of different types of analyses, including the widely-used modeling of species-abundance relationships. The analysis of biodiversity is widely available in many software packages and hundreds of measures can be used; however, it must always be done with a very careful and correct interpretation. Several key numerical principles underlying large families of biodiversity measures are explained. These are so-called Shannons concept of biodiversity, principle of dominance, principle of evenness, species-abundance cumulative profiles and niche-oriented modeling. The paper concludes that the remarkable specifics of biodiversity data and biodiversity itself make this field extremely challenging for computational science, including computer-assisted simulations and modern data mining techniques.
				Česky
This paper has been prepared to provide a brief educational overview of biodiversity data as a subject of different types of studies. The biodiversity is defined in all levels of organization of biological systems, from molecular and genomic level to ecosystem scale. A special attention is given to the methodology of different types of analyses, including the widely-used modeling of species-abundance relationships. The analysis of biodiversity is widely available in many software packages and hundreds of measures can be used; however, it must always be done with a very careful and correct interpretation. Several key numerical principles underlying large families of biodiversity measures are explained. These are so-called Shannons concept of biodiversity, principle of dominance, principle of evenness, species-abundance cumulative profiles and niche-oriented modeling. The paper concludes that the remarkable specifics of biodiversity data and biodiversity itself make this field extremely challenging for computational science, including computer-assisted simulations and modern data mining techniques.
				Návaznosti
| MSM0021622412, záměr | 
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