2003
Czech National Phytosociological Database: basic statistics of the available vegetation-plot data
CHYTRÝ, Milan a Marie RAFAJOVÁZákladní údaje
Originální název
Czech National Phytosociological Database: basic statistics of the available vegetation-plot data
Autoři
CHYTRÝ, Milan (203 Česká republika, garant) a Marie RAFAJOVÁ (203 Česká republika)
Vydání
Preslia, Praha, Česká botanická společnost, 2003, 0032-7786
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10600 1.6 Biological sciences
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Kód RIV
RIV/00216224:14310/03:00007998
Organizační jednotka
Přírodovědecká fakulta
UT WoS
000183018000001
Klíčová slova anglicky
bioinformatics; Czech Republic; plant community; phytosociology; relevé; vegetation sampling; survey
Štítky
Změněno: 19. 8. 2003 09:47, prof. RNDr. Milan Chytrý, Ph.D.
Anotace
V originále
Electronic vegetation relevés available in the Czech National Phytosociological Database are reviewed. The database was established in 1996, with a central database managed in the Department of Botany, Masaryk University in Brno (www.sci.muni.cz/botany/database.htm). On 15 November 2002 the central database contained 54,310 relevés from the territory of the Czech Republic, sampled by 332 authors between 1922-2002. Ca. 54 % of the relevés have been taken from published papers or monographs, 21 % from theses and the rest from various unpublished reports and field-books. These relevés include 1,259,008 floristic records of individual plant species. Territorial coverage of the country with relevé-plot data is irregular due to more intensive sampling in the areas with attractive natural or semi-natural vegetation; on the other hand some gaps still exist in less attractive or poorly accessible areas. Most relevés are of broad-leaved deciduous forests (Querco-Fagetea), meadows (Molinio-Arrhenatheretea), dry grasslands (Festuco-Brometea), and marsh grasslands (Phragmito-Magnocaricetea). Data quality issues are discussed, such as researcher bias in field recording, preferential selection of sampling sites, spatial autocorrelation, and missing values of some data elements.
Návaznosti
GA206/99/1523, projekt VaV |
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MSM 143100010, záměr |
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