Number of the records: 1  

Pladias Database of the Czech Flora and Vegetation

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    SYSNO ASEP0543563
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitlePladias Database of the Czech Flora and Vegetation
    Author(s) Chytrý, M. (CZ)
    Danihelka, Jiří (BU-J) RID, ORCID
    Kaplan, Zdeněk (BU-J) RID, ORCID
    Wild, Jan (BU-J) RID, ORCID
    Holubová, D. (CZ)
    Novotný, P. (CZ)
    Řezníčková, M. (CZ)
    Rohn, M. (CZ)
    Dřevojan, P. (CZ)
    Grulich, V. (CZ)
    Klimešová, Jitka (BU-J) RID, ORCID
    Lepš, J. (CZ)
    Lososová, Z. (CZ)
    Pergl, Jan (BU-J) RID, ORCID
    Sádlo, Jiří (BU-J) RID, ORCID
    Šmarda, P. (CZ)
    Štěpánková, P. (CZ)
    Tichý, L. (CZ)
    Axmanová, I. (CZ)
    Bartušková, Alena (BU-J) RID, ORCID
    Blažek, P. (CZ)
    Chrtek, Jindřich (BU-J) RID, ORCID
    Fischer, F. M. (CZ)
    Guo, Wen-Yong (BU-J)
    Herben, Tomáš (BU-J) RID, ORCID
    Janovský, Zdeněk (BU-J) ORCID, RID, SAI
    Konečná, M. (CZ)
    Kühn, I. (DE)
    Moravcová, Lenka (BU-J) RID, ORCID
    Petřík, Petr (BU-J) RID, ORCID
    Pierce, S. (IT)
    Prach, K. (CZ)
    Prokešová, H. (CZ)
    Štech, M. (CZ)
    Těšitel, J. (CZ)
    Těšitelová, T. (CZ)
    Večeřa, M. (CZ)
    Zelený, D. (TW)
    Pyšek, Petr (BU-J) RID, ORCID
    Source TitlePreslia. - : Česká botanická společnost - ISSN 0032-7786
    Roč. 93, č. 1 (2021), s. 1-87
    Number of pages87 s.
    Languageeng - English
    CountryCZ - Czech Republic
    Keywordsdatabase ; flora ; vegetation
    Subject RIVEF - Botanics
    OECD categoryPlant sciences, botany
    R&D ProjectsTH02030644 GA TA ČR - Technology Agency of the Czech Republic (TA ČR)
    GB14-36079G GA ČR - Czech Science Foundation (CSF)
    Method of publishingOpen access
    Institutional supportBU-J - RVO:67985939
    UT WOS000647578200001
    EID SCOPUS85102646402
    DOI10.23855/preslia.2021.001
    AnnotationThe Pladias (Plant Diversity Analysis and Synthesis) Database of the Czech Flora and Vegetation was developed by the Pladias project team in 2014-2018 and has been continuously updated since then. The flora section of the database contains critically revised information on the Czech vascular flora, including 13.6 million plant occurrence records, which are dynamically displayed in maps, and data on 120 plant characteristics (traits, environmental associations and other information), divided into the sections: (1) Habitus and growth type, (2) Leaf, (3) Flower, (4) Fruit, seed and dispersal, (5) Belowground organs and clonality, (6) Trophic mode, (7) Karyology, (8) Taxon origin, (9) Ecological indicator values, (10) Habitat and sociology, (11) Distribution and frequency, and (12) Threats and protection. The vegetation section of the database contains information on Czech vegetation types extracted from the monograph Vegetation of the Czech Republic. The data are supplemented by national botanical bibliographies, electronic versions of the standard national flora and vegetation monographs, a database of more than 19,000 pictures of plant taxa and vegetation types, and digital maps (shapefiles) with botanical information. The data from the database are available online on a public portal www.pladias.cz, which also provides download options for various datasets and online identification keys to the species and vegetation types of the Czech Republic. In this paper, we describe the general scope, structure and content of the database, and details of the data on plant characteristics. To illustrate the data and describe the main geographic patterns in selected plant characteristics, we provide maps of mean values of numerical characteristics or proportions of categories for categorical characteristics on the map of the country in a grid of 5 longitudinal x 3 latitudinal minutes (approximately 6.0 km x 5.5 km). We also summarize the main variation patterns in the functional traits in the Czech flora using the principal component analysis.
    WorkplaceInstitute of Botany
    ContactMartina Bartošová, martina.bartosova@ibot.cas.cz, ibot@ibot.cas.cz, Tel.: 271 015 242 ; Marie Jakšová, marie.jaksova@ibot.cas.cz, Tel.: 384 721 156-8
    Year of Publishing2022
    Electronic addresshttp://www.preslia.cz/doi/preslia.2021.001.html
Number of the records: 1  

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