2003
Diagnostic, constant and dominant species of vegetation classes and alliances of the Czech Republic: a statistical revision
CHYTRÝ, Milan a Lubomír TICHÝZákladní údaje
Originální název
Diagnostic, constant and dominant species of vegetation classes and alliances of the Czech Republic: a statistical revision
Název česky
Diagnostické, konstantní a dominantní druhy vegetačních tříd a svazů České republiky: statistická revize
Autoři
CHYTRÝ, Milan (203 Česká republika, garant) a Lubomír TICHÝ (203 Česká republika)
Vydání
Brno, 231 s. Folia Fac. Sci. Nat. Univ. Mas. Brun., Biol. 108, 2003
Nakladatel
Masaryk University Brno
Další údaje
Jazyk
angličtina
Typ výsledku
Odborná kniha
Obor
10600 1.6 Biological sciences
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Kód RIV
RIV/00216224:14310/03:00010439
Organizační jednotka
Přírodovědecká fakulta
ISBN
80-210-3221-9
Klíčová slova anglicky
Braun-Blanquet approach; phytosociology; plant communities; vegetation survey
Změněno: 5. 11. 2004 12:22, prof. RNDr. Milan Chytrý, Ph.D.
V originále
Diagnostic (character, differential) species are species with a distinct concentration of occurrence or abundance in a particular vegetation unit. These species are valuable for identification of earlier described vegetation units in field survey or monitoring projects. The standard vegetation classification of the Czech Republic (MORAVEC et al. 1995) lists groups of diagnostic species for phytosociological alliances and suballiances; however, these lists are based on expert knowledge and involve many inconsistencies. In the present study, we used a geographically stratified data set of 21,794 phytosociological relevés selected from the Czech National Phytosociological Database to define diagnostic species for all phytosociological classes, alliances and suballiances of the standard national vegetation classification in a consistent way, with statistical methods. Diagnostic species were defined from this data set as those exceeding the selected threshold of statistical fidelity to vegetation units. Fidelity was calculated as the Phi coeffient, which measures statistical association between vegetation units and species occurrences. In addition, we determined constant species, i.e. those with frequent occurrence, and dominant species, i.e. those frequently attaining a high cover in particular vegetation units. Having determined diagnostic species, we were able to evaluate the quality of delimitation of classes, alliances and suballiances of the standard national classification. We used two criteria of quality, sharpness and uniqueness, both based on diagnostic species. Sharpness of a vegetation unit was defined as a proportion or quality of its diagnostic species relative to the average species richness of its relevés. The sharpest vegetation units mainly included the major types of natural and semi-natural vegetation of Central Europe. By contrast, low sharpness was detected for those vegetation units which are either fragmentarily developed in the Czech Republic (though well-developed abroad) or poorly delimited in their entire geographic range. Uniqueness of a vegetation unit corresponded to the relative number of its diagnostic species which were not simultaneously diagnostic for other vegetation units. Low uniqueness indicated those vegetation units which could be possibly merged with some other units. The analysis of sharpness and uniqueness identified well defined and poorly defined vegetation units of the standard national vegetation classification. In such a way, it suggested possibilities of alternative delimitations of some vegetation units in a future revision of this classification.
Česky
Cílem práce je revize dosavadních seznam diagnostických druhů publikovaných pro fytocenologické třídy, svazy a podsvazy České republiky pomocí statistické analýzy reálných dat. Navazujícím cílem je statistické zhodnocení kvality vymezení vegetačních jednotek akceptovaných v současné standardní klasifikaci vegetace České republiky.
Návaznosti
| GA206/02/0957, projekt VaV |
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| MSM 143100010, záměr |
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