Diversity of hay meadows in the Czech Republic: major types and
environmental gradients

J 2004

Diversity of hay meadows in the Czech Republic: major types and environmental gradients

HAVLOVÁ, Marcela, Milan CHYTRÝ and Lubomír TICHÝ

Basic information

Original name

Diversity of hay meadows in the Czech Republic: major types and environmental gradients

Name in Czech

Diverzita luk České republiky: hlavní typy a gradienty prostředí

Authors

HAVLOVÁ, Marcela (203 Czech Republic), Milan CHYTRÝ (203 Czech Republic, guarantor) and Lubomír TICHÝ (203 Czech Republic)

Edition

Phytocoenologia, Berlin/Stuttgart, Gebrüder Borntraeger, 2004, 0340-269X

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10600 1.6 Biological sciences

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 0.389

RIV identification code

RIV/00216224:14310/04:00010817

Organization unit

Faculty of Science

UT WoS

000225678900002

Keywords in English

beta-diversity; classification; Ellenberg indicator values; grassland vegetation; ordination; phytosociology

Abstract

ORIG CZ

V originále

A geographically stratified data set of 3102 relevés of meadows and mesic pastures of the Czech Republic was analysed by detrended correspondence analysis and cluster analysis. Major gradients and clusters were interpreted using Ellenberg indicator values. The major gradient in species composition was associated with soil moisture and the second most important gradient with available nutrients. Clusters proposed by numerical classification reproduced some of the traditional phytosociological alliances, namely Arrhenatherion, Molinion and Polygono-Trisetion, while some other alliances were less clearly differentiated (e.g. Alopecurion, Cnidion and Cynosurion). Wet meadows of the Calthion alliance were divided among several clusters, which corresponded to the main associations recognized in traditional phytosociological literature. This patterns suggests that wet meadows have a higher beta-diversity than mesic meadows. We tested this hypothesis by calculating mean pair-wise Sörensen dissimilarity for bootstrap subsamples of meadow relevés for partitions of the moisture gradient, and confirmed that beta-diversity of meadows increases with increasing soil moisture. In traditional phytosociological literature, this fact is reflected by higher numbers of associations distinguished within wet meadows than in mesic meadows.

In Czech

Analýza diverzity vegetace luk České republiky.

Links

GA206/02/0957, research and development project

Name: Formalizovaná klasifikace polopřirozené travinné vegetace České republiky

Investor: Czech Science Foundation, Formalized classification of the semi-natural grassland vegetation of the Czech Republic

MSM 143100010, plan (intention)

Name: Časoprostorová dynamika biodiverzity v ekosystémech střední Evropy.

Investor: Ministry of Education, Youth and Sports of the CR, Spatiotemporal biodiversity dynamics in ecosystems of Central Europe

Citovat

HAVLOVÁ, Marcela, Milan CHYTRÝ and Lubomír TICHÝ. Diversity of hay meadows in the Czech Republic: major types and environmental gradients. Phytocoenologia. Berlin/Stuttgart: Gebrüder Borntraeger, 2004, vol. 34, No 4, p. 551-567. ISSN 0340-269X.

@article{564337,
   author = {Havlová, Marcela and Chytrý, Milan and Tichý, Lubomír},
   article_location = {Berlin/Stuttgart},
   article_number = {4},
   keywords = {beta-diversity; classification; Ellenberg indicator values; grassland vegetation; ordination; phytosociology},
   language = {eng},
   issn = {0340-269X},
   journal = {Phytocoenologia},
   title = {Diversity of hay meadows in the Czech Republic: major types and environmental gradients},
   url = {http://www.ingentaconnect.com/content/schweiz/phyt/2004/00000034/00000004/art00002},
   volume = {34},
   year = {2004}
}

TY  - JOUR
ID  - 564337
AU  - Havlová, Marcela - Chytrý, Milan - Tichý, Lubomír
PY  - 2004
TI  - Diversity of hay meadows in the Czech Republic: major types and environmental gradients
JF  - Phytocoenologia
VL  - 34
IS  - 4
SP  - 551-567
EP  - 551-567
PB  - Gebrüder Borntraeger
SN  - 0340269X
KW  - beta-diversity
KW  - classification
KW  - Ellenberg indicator values
KW  - grassland vegetation
KW  - ordination
KW  - phytosociology
UR  - http://www.ingentaconnect.com/content/schweiz/phyt/2004/00000034/00000004/art00002
N2  - A geographically stratified data set of 3102 relevés of meadows and mesic pastures of the Czech Republic was analysed by detrended correspondence analysis and cluster analysis. Major gradients and clusters were interpreted using Ellenberg indicator values. The major gradient in species composition was associated with soil moisture and the second most important gradient with available nutrients. Clusters proposed by numerical classification reproduced some of the traditional phytosociological alliances, namely Arrhenatherion, Molinion and Polygono-Trisetion, while some other alliances were less clearly differentiated (e.g. Alopecurion, Cnidion and Cynosurion). Wet meadows of the Calthion alliance were divided among several clusters, which corresponded to the main associations recognized in traditional phytosociological literature. This patterns suggests that wet meadows have a higher beta-diversity than mesic meadows. We tested this hypothesis by calculating mean pair-wise Sörensen dissimilarity for bootstrap subsamples of meadow relevés for partitions of the moisture gradient, and confirmed that beta-diversity of meadows increases with increasing soil moisture. In traditional phytosociological literature, this fact is reflected by higher numbers of associations distinguished within wet meadows than in mesic meadows.
ER  -

HAVLOVÁ, Marcela, Milan CHYTRÝ and Lubomír TICHÝ. Diversity of hay meadows in the Czech Republic: major types and environmental gradients. \textit{Phytocoenologia}. Berlin/Stuttgart: Gebrüder Borntraeger, 2004, vol.~34, No~4, p.~551-567. ISSN~0340-269X.

Detailed Information on Publication Record