LANDUCCI, Flavia, Kateřina ŠUMBEROVÁ, Lubomír TICHÝ, Stephan HENNEKENS, Liene AUNINA, Claudia BITA-NICOLAE, Lyubov BORSUKEVYCH, Alexander BOBROV, Andraž ČARNI, Els DE BIE, Valentin GOLUB, Richard HRIVNAK, Svitlana IEMELIANOVA, Ute JANDT, Florian JANSEN, Zygmunt Walerian KACKI, Konrád LÁJER, Eva PAPASTERGIADOU, Urban ŠILC, Zofija SINKEVIČIENĖ, Zvjezdana STANČIĆ, Jazep STEPANOVIČ, Boris TETERYUK, Rossen TZONEV, Roberto VENANZONI, Igor ZELNIK a Milan CHYTRÝ. Classification of the European marsh vegetation (Phragmito-Magnocaricetea) to the association level. Applied Vegetation Science. Hoboken: Wiley, 2020, roč. 23, č. 2, s. 297-316. ISSN 1402-2001. Dostupné z: https://dx.doi.org/10.1111/avsc.12484.
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Základní údaje
Originální název Classification of the European marsh vegetation (Phragmito-Magnocaricetea) to the association level
Autoři LANDUCCI, Flavia (380 Itálie, garant, domácí), Kateřina ŠUMBEROVÁ (203 Česká republika), Lubomír TICHÝ (203 Česká republika, domácí), Stephan HENNEKENS, Liene AUNINA, Claudia BITA-NICOLAE, Lyubov BORSUKEVYCH, Alexander BOBROV, Andraž ČARNI, Els DE BIE, Valentin GOLUB, Richard HRIVNAK, Svitlana IEMELIANOVA, Ute JANDT, Florian JANSEN, Zygmunt Walerian KACKI (616 Polsko), Konrád LÁJER, Eva PAPASTERGIADOU, Urban ŠILC, Zofija SINKEVIČIENĖ, Zvjezdana STANČIĆ, Jazep STEPANOVIČ, Boris TETERYUK, Rossen TZONEV, Roberto VENANZONI, Igor ZELNIK a Milan CHYTRÝ (203 Česká republika, domácí).
Vydání Applied Vegetation Science, Hoboken, Wiley, 2020, 1402-2001.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10611 Plant sciences, botany
Stát vydavatele Spojené státy
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 3.252
Kód RIV RIV/00216224:14310/20:00114210
Organizační jednotka Přírodovědecká fakulta
Doi http://dx.doi.org/10.1111/avsc.12484
UT WoS 000522603200014
Klíčová slova anglicky Association; cocktail method; consistency; discriminating species groups; functional species group; physiognomy; sociological species group; vegetation classification; vegetation database; wetland vegetation
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Marie Šípková, DiS., učo 437722. Změněno: 16. 11. 2020 10:55.
Anotace
Aims To create a comprehensive, consistent and unequivocal phytosociological classification of European marsh vegetation of the class Phragmito-Magnocaricetea. Location Europe. Methods We applied the Cocktail method to a European data set of 249,800 vegetation plots. We identified the main purposes and attributes on which to base the classification, defined assignment rules for vegetation plots, and prepared formal definitions for all the associations, alliances and orders of the class Phragmito-Magnocaricetea using formal logic. Each formula consists of the combination of "functional species groups", cover values of individual species, and in the case of high-rank syntaxa also of "discriminating species groups" created using the Group Improvement (GRIMP) method. Results The European Phragmito-Magnocaricetea vegetation was classified into 92 associations grouped in 11 alliances and six orders. New syntaxa (previously invalidly published according to the International Code of Phytosociological Nomenclature) were introduced: Bolboschoeno maritimi-Schoenoplection tabernaemontani, Glycerio maximae-Sietum latifolii, Glycerio notatae-Veronicetum beccabungae, Schoenoplectetum corymbosi and Thelypterido palustris-Caricetum elongatae. Based on a critical revision, some other syntaxa were rejected or excluded from the class Phragmito-Magnocaricetea. Conclusions This work provides the first consistent classification of the class Phragmito-Magnocaricetea at the European scale, which is an important tool for nature conservation. Our classification largely respects previously existing concepts of syntaxa, but it also proposes modifications to the recently published EuroVegChecklist. This work also provides a protocol that can be used for extending the current classification to new syntaxa and geographical regions.
Návaznosti
GA17-15168S, projekt VaVNázev: Expertní systémy nové generace pro klasifikaci vegetace v kontinentálním měřítku
Investor: Grantová agentura ČR, Next generation expert systems for vegetation classification on a continental scale
VytisknoutZobrazeno: 27. 8. 2024 16:25