PETERKA, Tomáš, Vít SYROVÁTKA, Daniel DÍTĚ, Petra HÁJKOVÁ, Monika HRUBANOVÁ, Martin JIROUŠEK, Zuzana PLESKOVÁ, Patrícia SINGH, Anna ŠÍMOVÁ, Eva ŠMERDOVÁ and Michal HÁJEK. Is variable plot size a serious constraint in broad–scale vegetation studies? A case study on fens. Journal of Vegetation Science. Hoboken: Wiley, 2020, vol. 31, No 4, p. 594-605. ISSN 1100-9233. Available from: https://dx.doi.org/10.1111/jvs.12885.
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Basic information
Original name Is variable plot size a serious constraint in broad–scale vegetation studies? A case study on fens
Authors PETERKA, Tomáš (203 Czech Republic, guarantor, belonging to the institution), Vít SYROVÁTKA (203 Czech Republic, belonging to the institution), Daniel DÍTĚ (703 Slovakia), Petra HÁJKOVÁ (203 Czech Republic, belonging to the institution), Monika HRUBANOVÁ (203 Czech Republic), Martin JIROUŠEK (203 Czech Republic, belonging to the institution), Zuzana PLESKOVÁ (703 Slovakia, belonging to the institution), Patrícia SINGH (703 Slovakia, belonging to the institution), Anna ŠÍMOVÁ (203 Czech Republic, belonging to the institution), Eva ŠMERDOVÁ (203 Czech Republic, belonging to the institution) and Michal HÁJEK (203 Czech Republic, belonging to the institution).
Edition Journal of Vegetation Science, Hoboken, Wiley, 2020, 1100-9233.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10611 Plant sciences, botany
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.685
RIV identification code RIV/00216224:14310/20:00114259
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1111/jvs.12885
UT WoS 000530930600001
Keywords in English fens; phytosociology; plot size; scale; specialist plants; species–area relationship; vegetation classification; vegetation plot; vegetation survey; wetlands
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 3/11/2020 16:39.
Abstract
Filtering vegetation plot records according to sampling size is an essential methodological step in vegetation studies. In fens, the variation of traditionally used plot sizes seems to limit continental-scale syntheses following the Braun-Blanquet approach. Which plot sizes harbour the analogous number of habitat specialists (i.e., diagnostic/indicator species) and capture the main compositional gradients identically? The data set of fen vegetation plot records was compiled using large databases and categorised into four distinct habitats. For each habitat, semi-log species–area curves of specialists and other species were fitted using generalised additive models (GAM). In addition, we surveyed 72 sites in a series of plot sizes (0.07, 0.25, 1, 4, 16 m2) where we applied, separately for each plot size, Non-Metric Multi-Dimensional Scaling (NMDS) and compared the resulting patterns with Procrustes analysis. Consistently across different fen habitats, the species–area curves of specialists increased steeply up to the plot size of 1 m2, while increasing negligibly in the plot size range of 1–25 m2. In contrast, the species–area curves of other species displayed mostly linear to linear-exponential trends. NMDS ordinations of medium (1 and 4 m2) and large plots (16 m2) were the most congruent, while the patterns captured in the ordination of the smallest plots (0.07 m2) differed most from the others. In fens, plot sizes of at least 1 m2 describe sufficiently the broad-scale pattern in specialists’ diversity as well as the main environmental gradients. The range of plot sizes of 1–25 m2 may be safely merged in broad-scale analyses of fen vegetation without introducing substantial bias, at least when compared with other possible uncertainty sources.
Links
GX19-28491X, research and development projectName: Centrum pro evropské vegetační syntézy (CEVS) (Acronym: CEVS)
Investor: Czech Science Foundation
MUNI/A/0979/2017, interní kód MUName: Biondikace a vegetační typologie významných evropských biotopů (Acronym: BATEB)
Investor: Masaryk University, Category A
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