Ellenberg-type indicator values for European vascular plant species

Aims: Ellenberg-type indicator values are expert-based rankings of plant species according to their ecological optima on main environmental gradients. Here we extend the indicator-value system proposed by Heinz Ellenberg and co-authors for Central Europe by incorporating other systems of Ellenberg-type indicator values (i.e., those using scales compatible with Ellenberg values) developed for other European regions. Our aim is to create a harmonized data set of Ellenberg-type indicator values applicable at the European scale. Methods: We collected European data sets of indicator values for vascular plants and selected 13 data sets that used the nine-, ten- or twelve-degree scales defined by Ellenberg for light, temperature, moisture, reaction, nutrients and salinity. We compared these values with the original Ellenberg values and used those that showed consistent trends in regression slope and coefficient of determination. We calculated the average value for each combination of species and indicator values from these data sets. Based on species’ co-occurrences in European vegetation plots, we also calculated new values for species that were not assigned an indicator value. Results: We provide a new data set of Ellenberg-type indicator values for 8908 European vascular plant species (8168 for light, 7400 for temperature, 8030 for moisture, 7282 for reaction, 7193 for nutrients, and 7507 for salinity), of which 398 species have been newly assigned to at least one indicator value. Conclusions: The newly introduced indicator values are compatible with the original Ellenberg values. They can be used for large-scale studies of the European flora and vegetation or for gap-filling in regional data sets. The European indicator values and the original and taxonomically harmonized regional data sets of Ellenberg-type indicator values are available in the Supporting Information and the Zenodo repository

5-amino-2-metilsulfanil-6-fenacilfuro-[2,3-d]pirimidinų kitimai oksidacinėmis sąlygomis

Vytauto Didžiojo universitetasŠvietimo akademij

Mapping species richness of plant families in European vegetation

none40siAims: Biodiversity is traditionally studied mostly at the species level, but biogeographical and macroecological studies at higher taxonomic levels can provide valuable insights into the evolutionary processes at large spatial scales. Our aim was to assess the representation of vascular plant families within different vegetation formations across Europe. Location: Europe. Methods: We used a data set of 816,005 vegetation plots from the European Vegetation Archive (EVA). For each plot, we calculated the relative species richness of each plant family as the number of species belonging to that family divided by the total number of species. We mapped the relative species richness, averaged across all plots in 50 km × 50 km grid cells, for each family and broad habitat groups: forests, grasslands, scrub and wetlands. We also calculated the absolute species richness and the Shannon diversity index for each family. Results: We produced 522 maps of mean relative species richness for a total of 152 vascular plant families occurring in forests, grasslands, scrub and wetlands. We found distinct spatial patterns for many combinations of families and habitat groups. The resulting series of 522 maps is freely available, both as images and GIS layers. Conclusions: The distinct spatial patterns revealed in the maps suggest that the relative species richness of plant families at the community level reflects the evolutionary history of individual families. We believe that the maps and associated data can inspire further biogeographical and macroecological studies and strengthen the ongoing integration of phylogenetic, functional and taxonomic diversity concepts.noneVecera M.; Axmanova I.; Padulles Cubino J.; Lososova Z.; Divisek J.; Knollova I.; Acic S.; Biurrun I.; Boch S.; Bonari G.; Campos J.A.; Carni A.; Carranza M.L.; Casella L.; Chiarucci A.; Custerevska R.; Delbosc P.; Dengler J.; Fernandez-Gonzalez F.; Gegout J.-C.; Jandt U.; Jansen F.; Jaskova A.; Jimenez-Alfaro B.; Kuzemko A.; Lebedeva M.; Lenoir J.; Lysenko T.; Moeslund J.E.; Pielech R.; Ruprecht E.; Sibik J.; Silc U.; Skvorc Z.; Swacha G.; Tatarenko I.; Vassilev K.; Wohlgemuth T.; Yamalov S.; Chytry M.Vecera M.; Axmanova I.; Padulles Cubino J.; Lososova Z.; Divisek J.; Knollova I.; Acic S.; Biurrun I.; Boch S.; Bonari G.; Campos J.A.; Carni A.; Carranza M.L.; Casella L.; Chiarucci A.; Custerevska R.; Delbosc P.; Dengler J.; Fernandez-Gonzalez F.; Gegout J.-C.; Jandt U.; Jansen F.; Jaskova A.; Jimenez-Alfaro B.; Kuzemko A.; Lebedeva M.; Lenoir J.; Lysenko T.; Moeslund J.E.; Pielech R.; Ruprecht E.; Sibik J.; Silc U.; Skvorc Z.; Swacha G.; Tatarenko I.; Vassilev K.; Wohlgemuth T.; Yamalov S.; Chytry M