Is variable plot size a serious constraint in broad-scale vegetation studies? A case study on fens

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F20%3A43917898" target="_blank" >RIV/62156489:43210/20:43917898 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216224:14310/20:00114259

Výsledek na webu

<a href="https://doi.org/10.1111/jvs.12885" target="_blank" >https://doi.org/10.1111/jvs.12885</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/jvs.12885" target="_blank" >10.1111/jvs.12885</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Is variable plot size a serious constraint in broad-scale vegetation studies? A case study on fens

Popis výsledku v původním jazyce

Question 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? Location Scandinavia, central Europe. Methods 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 m(2)) where we applied, separately for each plot size, Non-Metric Multi-Dimensional Scaling (NMDS) and compared the resulting patterns with Procrustes analysis. Results Consistently across different fen habitats, the species-area curves of specialists increased steeply up to the plot size of 1 m(2), while increasing negligibly in the plot size range of 1-25 m(2). In contrast, the species-area curves of other species displayed mostly linear to linear-exponential trends. NMDS ordinations of medium (1 and 4 m(2)) and large plots (16 m(2)) were the most congruent, while the patterns captured in the ordination of the smallest plots (0.07 m(2)) differed most from the others. Conclusions In fens, plot sizes of at least 1 m(2) describe sufficiently the broad-scale pattern in specialists&apos; diversity as well as the main environmental gradients. The range of plot sizes of 1-25 m(2) may be safely merged in broad-scale analyses of fen vegetation without introducing substantial bias, at least when compared with other possible uncertainty sources.

Název v anglickém jazyce

Is variable plot size a serious constraint in broad-scale vegetation studies? A case study on fens

Popis výsledku anglicky

Question 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? Location Scandinavia, central Europe. Methods 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 m(2)) where we applied, separately for each plot size, Non-Metric Multi-Dimensional Scaling (NMDS) and compared the resulting patterns with Procrustes analysis. Results Consistently across different fen habitats, the species-area curves of specialists increased steeply up to the plot size of 1 m(2), while increasing negligibly in the plot size range of 1-25 m(2). In contrast, the species-area curves of other species displayed mostly linear to linear-exponential trends. NMDS ordinations of medium (1 and 4 m(2)) and large plots (16 m(2)) were the most congruent, while the patterns captured in the ordination of the smallest plots (0.07 m(2)) differed most from the others. Conclusions In fens, plot sizes of at least 1 m(2) describe sufficiently the broad-scale pattern in specialists&apos; diversity as well as the main environmental gradients. The range of plot sizes of 1-25 m(2) may be safely merged in broad-scale analyses of fen vegetation without introducing substantial bias, at least when compared with other possible uncertainty sources.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10611 - Plant sciences, botany

Projekt

<a href="/cs/project/GX19-28491X" target="_blank" >GX19-28491X: Centrum pro evropské vegetační syntézy (CEVS)</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Vegetation Science

ISSN

1100-9233

e-ISSN

—

Svazek periodika

31

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

12

Strana od-do

594-605

Kód UT WoS článku

000530930600001

EID výsledku v databázi Scopus

2-s2.0-85085074730