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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

    RIV/00216224:14310/20:00114259

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10611 - Plant sciences, botany

Result continuities

  • Project

    <a href="/en/project/GX19-28491X" target="_blank" >GX19-28491X: Centre for European Vegetation Syntheses (CEVS)</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Vegetation Science

  • ISSN

    1100-9233

  • e-ISSN

  • Volume of the periodical

    31

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    594-605

  • UT code for WoS article

    000530930600001

  • EID of the result in the Scopus database

    2-s2.0-85085074730