Published April 14, 2021 | Version v1
Dataset Open

Maps of mean relative species richness of vascular plant families in European vegetation

  • 1. Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech Republic
  • 2. Department of Botany and Zoology, Faculty of Science, Masaryk University, Brno, Czech Republic; Department of Geography, Faculty of Science, Masaryk University, Brno, Czech Republic
  • 3. Department of Botany, Faculty of Agriculture, University of Belgrade, Belgrade-Zemun, Serbia
  • 4. Department of Plant Biology and Ecology, Faculty of Science and Technology, University of the Basque Country UPV/EHU, Leioa, Spain
  • 5. Biodiversity and Conservation Biology Research Unit, WSL Swiss Federal Research Institute, Birmensdorf, Switzerland
  • 6. Faculty of Science and Technology, Free University of Bozen-Bolzano, Bolzano, Italy
  • 7. Research Center of the Slovenian Academy of Sciences and Arts, Institute of Biology, Ljubljana, Slovenia; University of Nova Gorica, School for Viticulture and Enology, Vipava, Slovenia
  • 8. Department of Bioscience and Territory (Envixlab), University of Molise, Campobasso, Italy
  • 9. ISPRA - Italian National Institute for Environmental Protection and Research
  • 10. BIOME Lab, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum - University of Bologna
  • 11. Institute of Biology, Faculty of Natural Sciences and Mathematics, University of Ss. Cyril and Methodius, Skopje, North Macedonia
  • 12. EA 7462 Géoarchitecture, Université de Bretagne Occidentale UFR Sciences et Techniques, Brest, France
  • 13. Vegetation Ecology, Institute of Natural Resource Sciences (IUNR), Zurich University of Applied Sciences (ZHAW), Wädenswil, Switzerland; Plant Ecology, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
  • 14. Institute of Environmental Sciences, University of Castilla-La Mancha, Toledo, Spain
  • 15. Université de Lorraine, AgroParisTech, INRAE, Silva, Nancy, France
  • 16. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany; Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany
  • 17. Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany
  • 18. Research Unit of Biodiversity (CSIC, UO, PA), Oviedo University, Mieres, Spain
  • 19. Department of Geobotany and Ecology, M.G. Kholodny Institute of Botany, NAS of Ukraine, Kyiv, Ukraine
  • 20. South Ural Botanical Garden-Institute, Ufa, Russian Federation
  • 21. Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN, UMR 7058 CNRS), Université de Picardie Jules Verne, Amiens, France
  • 22. Laboratory of Vegetation Science, Komarov Botanical Institute RAS, Saint-Petersburg, Russian Federation; Laboratory of Phytodiversity Problems, Institute of Ecology of the Volga River Basin RAS - Branch of the Samara Scientific Center RAS, Togliatti, Russian Federation
  • 23. Department of Bioscience, Faculty of Technical Sciences, Aarhus University, Aarhus, Denmark
  • 24. Department of Forest Biodiversity, Faculty of Forestry, University of Agriculture in Kraków, Kraków, Poland; Foundation for Biodiversity Research, Wrocław, Poland
  • 25. Hungarian Department of Biology and Ecology, Faculty of Biology and Geology, Babeș-Bolyai University, Cluj-Napoca, Romania
  • 26. Plant Science and Biodiversity Center, Slovak Academy of Sciences, Bratislava, Slovakia
  • 27. Research Center of the Slovenian Academy of Sciences and Arts, Institute of Biology, Ljubljana, Slovenia
  • 28. Faculty of Forestry, University of Zagreb, Zagreb, Croatia
  • 29. Botanical Garden, University of Wrocław, Wrocław, Poland
  • 30. School of Environment, Earth and Ecosystem Sciences, Faculty of STEM, Open University, UK
  • 31. Department of Plant and Fungal Diversity and Resources, Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, Sofia, Bulgaria
  • 32. Forest Dynamics Research Unit, WSL Swiss Federal Research Institute, Birmensdorf, Switzerland

Description

This set of maps shows the representation of 152 vascular plant families within forest, grassland, scrub and wetland plant communities across Europe. We used a set of 816,005 vegetation plots from the European Vegetation Archive (EVA; Chytrý et al. 2016), and for each plot, we calculated the relative species richness of individual plant families (number of species belonging to the family divided by the total number of species in the plot). The relative species richness was then mapped, averaged across all plots in 50 km × 50 km UTM grid cells, for each family and broad habitat groups – forests, grasslands, scrub and wetlands.

Here we provide the maps as (i) images (PDF files) and (ii) tables (XLSX files) containing the source data to be used for visualization in R or GIS software.

The colour scale in the maps was generated from the data using the k-means algorithm. For each map, the distribution of the values and the minimum, maximum and median values are shown. The maps only show grid cells containing at least five vegetation plots. Of these grid cells, those with mean relative species richness of the mapped family equal to zero are in grey. For each map, we also provide the number of genera/species included, the Shannon diversity index for the combination of the family and the habitat group, and the number of plots included (both absolute and relative to the total number of plots in the habitat group). The Shannon diversity index is based on species occurrences in vegetation plots: higher values indicate that the family is represented by many species with relatively even occurrence frequencies, while lower values indicate that it is represented by few species or some species is much more frequent than the others. For the combinations of families and habitat groups not represented in the dataset, blank maps were generated and the respective columns in tables filled with NAs. For further details, see Večeřa et al. (2021) Journal of Vegetation Science https://doi.org/10.1111/jvs.13035.

Contents:

  • Families_maps_all.pdf – a file containing maps of mean relative species richness of all the families
  • Families_maps_one-by-one.rar – separate files of individual families
  • Families_attribute_table_data.xlsx – a matrix of mean relative species richness for vascular plant families (columns) in 50 km × 50 km UTM grid cells (rows) in forests, grasslands, scrub and wetlands (four sheets); a family is considered absent (the mean relative species richness equal to zero) only in grid cells containing at least five vegetation plots; grid cells with no data or containing less than five plots are marked NA.
  • Colour_scale_codes.xlsx – a table of colours (HEX and RGB definitions) used for generating colour scales in the maps, with colour-scale codes (0–7) that may be used in combination with the file Families_attribute_table_colour-codes.xlsx to generate maps with the same colour representation as the original maps.
  • Families_attribute_table_colour-codes.xlsx – a matrix of colour-scale codes representing eight classes of the mean relative species richness (columns) in 50 km × 50 km UTM grid cells (rows) in forests, grasslands, scrub and wetlands (four sheets). In combination with the file Colour_scale_codes.xlsx, this table enables to reproduce the maps with the original colour representation. A family is considered absent (colour-scale code equal to zero) only in grid cells containing at least five vegetation plots; grid cells with no data or containing less than five plots are marked NA.
  • Europe_CGRS_grid.rar – a shapefile of the 50 km × 50 km UTM grid for Europe (originally available at: https://www.eea.europa.eu/data-and-maps/data/common-european-chorological-grid-reference-system-cgrs) to which data from the files Families_attribute_table_data.xlsx and Families_attribute_table_colour-codes.xlsx may be joined.

Notes

This dataset was created and made publicly available in connection with the study Večeřa et al. (2021) Mapping species richness of plant families in European vegetation. Journal of Vegetation Science https://doi.org/10.1111/jvs.13035. Martin Večeřa, Irena Axmanová, Josep Padullés Cubino, Zdeňka Lososová, Ilona Knollová, Anni Jašková and Milan Chytrý were funded by the Czech Science Foundation, programme EXPRO (project no. 19-28491X); Jan Divíšek by the Czech Science Foundation (18-02773S); Idoia Biurrun by the Basque Government (IT936-16); Andraž Čarni by the Slovenian Research Agency (ARRS, P1-0236); Jozef Šibík by the Slovak Research and Development Agency (APVV 16-0431); and Kiril Vassilev by the Bulgarian National Science Fund (Contract DCOST 01/7/19.10.2018).

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Families_maps_all.pdf

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Additional details

References

  • Chytrý, M., Hennekens, S.M., Jiménez‐Alfaro, B., Knollová, I., Dengler, J., Jansen, F. et al. (2016) European Vegetation Archive (EVA): An integrated database of European vegetation plots. Applied Vegetation Science, 19, 173–180. https://doi.org/10.1111/avsc.12191
  • Večeřa, M., Axmanová, I., Cubino, J.P., Lososová, Z., Divíšek, J., Knollová, I. et al. (2021) Mapping species richness of plant families in European vegetation. Journal of Vegetation Science. DOI to be added.