Data for download – vegetation

  1. Status and purpose of the Pladias Database

    The Pladias Database contains critically revised data on the Czech flora and vegetation managed by the Department of Botany and Zoology, Faculty of Science, Masaryk University (MU) and the Institute of Botany, The Czech Academy of Sciences (IBOT), including data files provided by other institutions or individuals (hereafter „providers“). Its aim is to promote the use of data on plant diversity in the Czech Republic for the purposes of scientific research, education, nature conservation and environmental assessment.The decisions about the concept of the database, inclusion of specific data files and data provision are made by the Management Board of the Pladias Database (hereafter „Governing Board“, Appendix 1), which follows these Rules and respects the interests and rights of the individual providers.

  2. Storing data in the Pladias Database

    The decisions about including particular data files in the database are taken by the Governing Board. The provider is responsible for obtaining permission to transmit data to the Pladias Database from any other parties that may have property or intellectual rights to these data or their subsets. . The provider of each data set specifies to what extent and under what conditions the data may be used or provided to third parties. . The Governing Board favours the widest possible public availability of data, while respecting the rights of providers to restrict public access to their data and complying with the conditions of use set by the providers.

  3. Providing data from the Pladias Database

    The Pladias Database contains
    1. public data that are freely available and can be viewed or downloaded from the Pladias website without registration
    2. public data that are freely available but can only be viewed or downloaded from the Pladias website after registration and login
    3. non-public data

    Public data (both freely available and available after registration) can be used for basic and applied scientific research, teaching, nature conservation and environmental assessment. Their potential use for commercial purposes is subject to approval by the Governing Board or the provider of particular data subsets. The use of data for the purposes of funded projects or expert reports by governmental, educational and research institutions, and NGOs is not considered commerce.

    Non-public data can be provided upon request sent by e-mail to members of the Management Board (Appendix 1). The application must contain a delimitation of the extent of the data required, description of the purpose of their use and specification of the final product (e.g. publication, research report or educational presentation). If the expected use of the data assumes cooperation of several people, a nominal list is added to the application. The decision about the provision of data on species traits and conditions for their use for a given purpose is made by their provider or, in the case of trait data owned by MU or IBOT, or species distribution data, by the Governing Board.

  4. Responsibilities of Pladias Database users

    When using data from the Pladias Database (including distribution maps) in publications, research reports or for teaching and public presentations, the user specifies the data source „Pladias – A Database of Czech Flora and Vegetation, www.pladias.org“, or (especially in the scientific literature) cites the article with a basic description of the database (after it is published). When using species distribution data, the user also cites the article about the species distribution database (after it is published). When using specific plant trait data or species lists the user also cites the original sources referred to in the Pladias Database. When using texts or images that the Pladias Database has taken from published sources (especially Flora of the Czech Republic, Vegetation of the Czech Republic, Phytocartographic Syntheses of the Czech Republic and articles with species distribution maps published in the journal Preslia), the user cites only the published sources. When using images of plants or vegetation types from the Pladias Database website the user quotes the author of the image and the source „www.pladias.org“.

Public or non-public data obtained from the Pladias Database must not to be transferred to other institutions or persons, or posted on the Internet. The exception is sharing them with colleagues working on a project that uses specific data (in the case of non-public data after prior approval by the provider or by the Governing Board).

The user of data obtained from the Pladias Database helps to improve the quality of the database by reporting any detected errors in the data to the Governing Board or the provider of the particular data file.


Appendix 1 to the Pladias Database Management and Access Rules
The Governing Board of the Pladias Database, established 1 January 2016, has the following composition

  • Jiří Danihelka, danihel@sci.muni.cz, Department of Botany and Zoology, Faculty of Science, Masaryk University and Institute of Botany, The Czech Academy of Sciences
  • Milan Chytrý, chytry@sci.muni.cz, Department of Botany and Zoology, Faculty of Science, Masaryk University
  • Zdeněk Kaplan, zdenek.kaplan@ibot.cas.cz, Institute of Botany, The Czech Academy of Sciences
  • Petr Pyšek, pysek@ibot.cas.cz, Institute of Botany, The Czech Academy of Sciences
  • Jan Wild, jan.wild@ibot.cas.cz, Institute of Botany, The Czech Academy of Sciences

The file contains the list of phytosociological units (syntaxa) recognized in the national vegetation classification of the Czech Republic (Chytrý 2007, 2009, 2011, 2013). The list contains 39 phytosociological classes, 138 alliances and 496 associations. Details of these vegetation types are given in the Pladias database modul Vegetation.

Data source and citation

Chytrý M. (ed.) (2007): Vegetace České republiky 1. Travinná a keříčková vegetace. Vegetation of the Czech Republic 1. Grassland and heathland vegetation. Academia, Praha.
Chytrý M. (ed.) (2009): Vegetace České republiky 2. Ruderální, plevelová, skalní a suťová vegetace. Vegetation of the Czech Republic 2. Ruderal, weed, rock and scree vegetation. Academia, Praha.
Chytrý M. (ed.) (2011): Vegetace České republiky 3. Vodní a mokřadní vegetace. Vegetation of the Czech Republic 3. Aquatic and wetland vegetation. Academia, Praha.
Chytrý M. (ed.) (2013): Vegetace České republiky 4. Lesní a křovinná vegetace. Vegetation of the Czech Republic 4. Forest and scrub vegetation. Academia, Praha.

Map of the potential natural vegetation of the Czech Republic (Neuhäuslová et al. 1997, 1998, 2001) at the scale of 1 : 500 000 represents vegetation types that would exist at a specific site and in a natural or human-altered habitat under assumption of no human effect on vegetation. Forests are potential natural vegetation across most of the Czech Republic. The map distinguishes these mapping units:

Alluvial woodlands
  • 1. Bird cherry-ash woodland partly in complex with alder carrs
  • 2. Bird cherry-pedunculate oak- or -alder woodland with Carex brizoides, partly in complex with alder carrs, reed swamps and tall-sedge communities
  • 3. Spruce-alder woodland
  • 4. Poplar-pedunculate oak woodland partly in complex with elm-pedunculate oak woodland
  • 5. Elm-pedunculate oak woodland
  • 6. Pannonian elm-ash woodland in complex with poplar-ash woodlands
Oak-hornbeam and lime-oak woodlands
  • 7. Oak-hornbeam woodland with Melampyrum nemorosum
  • 8. Lime-oak woodland
  • 9. Pannonian oak-hornbeam woodland with Primula veris
  • 10. Carpathian oak-hornbeam woodland with Carex pilosa
  • 11. Lime-rich oak-hornbeam woodland
  • 12. Lime-pedunculate oak woodland with Stellaria holostea
Scree and ravine woodlands
  • 13. Scree and ravine woodlands of colline to montane sites
Herb-rich beech woodlands
  • 14. Lime-beech woodland with Tilia platyphyllos
  • 15. Lime-beech woodland with Tilia cordata
  • 16. Beech woodland with Melica uniflora
  • 17. Beech woodland with Carex pilosa
  • 18. Beech woodland with Dentaria enneaphyllos
  • 19. Carpathian beech woodland with Dentaria glandulosa
  • 20. Beech woodland with Festuca altissima
  • 21. Beech woodland with Viola reichenbachiana
Calcicolous beech woodlands
  • 22. Beech woodland with Cephalanthera species
Herb-rich silver fir woodlands
  • 23. Silver fir woodland with Sanicula europaea
Acidophilous beech and silver fir woodlands
  • 24. Woodrush-beech woodland
  • 25. Spruce-beech woodland
  • 26. Waterlogged pedunculate oak-beech woodland with Carex brizoides
  • 27. Silver fir woodland with Deschampsia flexuosa
Perialpidic basiphilous thermophilous oak woodlands
  • 28. Oak woodland with Lathyrus pannonicus and/or Buglossoides purpurocaerulea
  • 29. Oak woodland with Cerasus mahaleb and/or Cornus mas
  • 30. Undetermined basiphilous thermophilous woodland
Subcontinental thermophilous oak woodlands
  • 31. Oak woodland on loess with Quercus petraea, Q. pubescens, Q. robur
  • 32. Subcontinental pedunculate oak woodland with Carex fritschii
  • 33. Oak woodland with Potentilla alba
Subacidophilous central-European thermophilous oak woodlands
  • 34. Oak woodland with Sorbus torminalis and Vincetoxicum hirundinaria
  • 35. Oak woodland with Asplenium cuneifolium on serpentine substrate
Acidophilous woodrush-, silver fir-, birch- and pine-oak woodlands
  • 36. Woodrush-oak and/or silver fir-oak woodland
  • 37. Oak woodland with Molinia arundinacea
  • 38. Pine-oak woodland with Vaccinium vitis-idaea
  • 39. Pine-oak woodland with Festuca ovina
Basiphilous perialpine pine woodlands
  • 40. Pine woodland with Thlaspi montanum on serpentine substrate
Acidophilous pine woodlands
  • 41. (Sub)montane spruce-pine and spruce woodland on stony substrates
  • 42. Other acidophilous pine woodlands
Climatic and waterlogged spruce woodlands
  • 43. Spruce woodland with Calamagrostis villosa
  • 44. Waterlogged spruce woodland with Bazzania trilobata partly in complex with Sphagnum-rich spruce woodland
Montane to supramontane fern-rich spruce woodlands
  • 45. Spruce woodland with Athyrium distentifolium
Subalpine and alpine vegetation
  • 46. A complex of Pinus mugo communities and alpine vegetation
Mires
  • 47. Complex of brown-moss rich fens
  • 48. Complex of sedge-Sphagnum communities of minerotophic mires
  • 49. Complex of submontane Pinus rotundata- and Pinus sylvestris-mires
  • 50. Complex of montane raised bogs, partly with Pinus mugo agg. and/or Sphagnum-rich spruce woodland
Vegetation on sites strongly influenced by human activity
  • 51. Complex of successional stages on anthropogenic sites

Data source and citation

Neuhäuslová Z., Moravec J., Chytrý M., Sádlo J., Rybníček K., Kolbek J. & Jirásek J. (1997): Mapa potenciální přirozené vegetace České republiky 1 : 500 000 [Map of potential natural vegetation of the Czech Republic 1 : 500 000]. – Botanický ústav AV ČR, Průhonice.
Neuhäuslová Z., Blažková D., Grulich V., Husová M., Chytrý M., Jeník J., Jirásek J., Kolbek J., Kropáč Z., Ložek V., Moravec J., Prach K., Rybníček K., Rybníčková E. & Sádlo J. (1998): Mapa potenciální přirozené vegetace České republiky [Map of potential natural vegetation of the Czech Republic]. – Academia, Praha.
Neuhäuslová Z., Moravec J., Chytrý M., Ložek V., Rybníček K., Rybníčková E., Husová M., Grulich V., Jeník J., Sádlo J., Jirásek J., Kolbek J. & Wild J. (2001): Potential natural vegetation of the Czech Republic. – Braun-Blanquetia 30: 1–80.

Four maps showing the expected level of invasion by alien plant species were developed by Chytrý et al. (2009). The level of invasion was measured as either the proportion of alien species among all plant species or as the proportion of total cover of alien species to total cover of all plant species in vegetation plots. The maps based on these two measures were prepared separately for archaeophytes and neophytes.

The data on the levels of invasion were taken from 18 798 vegetation plots classified to 35 terrestrial habitat types and distributed across the Czech Republic. Within each habitat type, the level of invasion was related to altitude using generalized linear models. The values predicted by the models for particular combinations of habitat types and altitudes were projected onto a land-cover map and a digital elevation model of the country.

Zdroj dat a citace

Chytrý M., Wild J., Pyšek P., Tichý L., Danihelka J. & Knollová I. (2009): Maps of the level of invasion of the Czech Republic by alien plants. – Preslia 81: 187–207.


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