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Statements

Subject Item
n2:RIV%2F00216224%3A14310%2F05%3A00012425%21RIV10-MSM-14310___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
Central European lowland wet meadows are habitats of great conservation interest, however, their phytosociological status has been to a large extent dependent on specific phytosociological traditions in different countries. In order to bridge the gaps between different national schemes of vegetation classification, a statistical analysis of variation in species composition of these meadows in the Czech Republic, eastern Austria, Slovakia, Hungary and northern Croatia was performed, using a data set of 387 geographically stratified vegetation relevés. Principal coordinates analysis was used to identify and partial out the noise component of variation in the data set. The relevés were classified by a cluster analysis. A new method for identification of the optimal number of clusters was developed, based on species fidelity to particular clusters. This method suggested the optimum level of classification with three clusters and secondary optimum levels with five and nine clusters. Central European lowland wet meadows are habitats of great conservation interest, however, their phytosociological status has been to a large extent dependent on specific phytosociological traditions in different countries. In order to bridge the gaps between different national schemes of vegetation classification, a statistical analysis of variation in species composition of these meadows in the Czech Republic, eastern Austria, Slovakia, Hungary and northern Croatia was performed, using a data set of 387 geographically stratified vegetation relevés. Principal coordinates analysis was used to identify and partial out the noise component of variation in the data set. The relevés were classified by a cluster analysis. A new method for identification of the optimal number of clusters was developed, based on species fidelity to particular clusters. This method suggested the optimum level of classification with three clusters and secondary optimum levels with five and nine clusters.
dcterms:title
Vegetation of lowland wet meadows along a climatic continentality gradient in Central Europe Vegetation of lowland wet meadows along a climatic continentality gradient in Central Europe
skos:prefLabel
Vegetation of lowland wet meadows along a climatic continentality gradient in Central Europe Vegetation of lowland wet meadows along a climatic continentality gradient in Central Europe
skos:notation
RIV/00216224:14310/05:00012425!RIV10-MSM-14310___
n3:aktivita
n11:Z n11:P
n3:aktivity
P(GA206/02/0957), P(KSK6005114), Z(AV0Z60050516), Z(MSM 143100010), Z(MSM0021622416)
n3:cisloPeriodika
1
n3:dodaniDat
n15:2010
n3:domaciTvurceVysledku
n7:3447456 n7:1286870 n7:5061342
n3:druhVysledku
n16:J
n3:duvernostUdaju
n13:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
548604
n3:idVysledku
RIV/00216224:14310/05:00012425
n3:jazykVysledku
n4:eng
n3:klicovaSlova
Czech Republic; fidelity; Hungary; Molinio-Arrhenatheretea; numerical analysis; optimal number of clusters; phytosociological classification; Slovakia; vegetation survey
n3:klicoveSlovo
n5:optimal%20number%20of%20clusters n5:Czech%20Republic n5:Slovakia n5:vegetation%20survey n5:fidelity n5:Molinio-Arrhenatheretea n5:numerical%20analysis n5:Hungary n5:phytosociological%20classification
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[E5745B05B319]
n3:nazevZdroje
Preslia
n3:obor
n17:EF
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
4
n3:projekt
n19:GA206%2F02%2F0957 n19:KSK6005114
n3:rokUplatneniVysledku
n15:2005
n3:svazekPeriodika
77
n3:tvurceVysledku
Botta-Dukát, Zoltán Řezníčková, Marcela Hájková, Petra Chytrý, Milan
n3:zamer
n10:AV0Z60050516 n10:MSM0021622416 n10:MSM%20143100010
s:issn
0032-7786
s:numberOfPages
23
n12:organizacniJednotka
14310