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112 results on '"Ćušterevska, Renata"'

1. Estimation of missing Ellenberg Indicator Values for tree species in South-eastern Europe: a comparison of methods

Author: Leccese, Letizia, Fanelli, Giuliano, Cambria, Vito Emanuele, Massimi, Marco, Attorre, Fabio, Alfò, Marco, Aćić, Svetlana, Bergmeier, Erwin, Čarni, Andraž, Cuk, Mirjana, Custerevska, Renata, Dimopoulos, Panayotis, Hoda, Petrit, Mullaj, Alfred, Šilc, Urban, Skvorc, Zeljko, Stancic, Zvjezdana, Dajic Stevanovic, Zora, Tzonev, Rossen, Vassilev, Kiril, Malatesta, Luca, and De Sanctis, Michele
Published: 2024
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2. Diversity and distribution of Raunkiær's life forms in European vegetation

Author: Midolo, Gabriele, Axmanová, Irena, Divíšek, Jan, Dřevojan, Pavel, Lososová, Zdeňka, Večeřa, Martin, Karger, Dirk Nikolaus, Thuiller, Wilfried, Bruelheide, Helge, Aćić, Svetlana, Attorre, Fabio, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Čarni, Andraž, Chiarucci, Alessandro, Ćušterevska, Renata, Dengler, Jürgen, Dziuba, Tetiana, Garbolino, Emmanuel, Jandt, Ute, Lenoir, Jonathan, Marcenò, Corrado, Rūsiņa, Solvita, Šibík, Jozef, Škvorc, Željko, Stančić, Zvjezdana, Stanišić‐Vujačić, Milica, Svenning, Jens‐Christian, Swacha, Grzegorz, Vassilev, Kiril, Chytrý, Milan, Midolo, Gabriele, Axmanová, Irena, Divíšek, Jan, Dřevojan, Pavel, Lososová, Zdeňka, Večeřa, Martin, Karger, Dirk Nikolaus, Thuiller, Wilfried, Bruelheide, Helge, Aćić, Svetlana, Attorre, Fabio, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Čarni, Andraž, Chiarucci, Alessandro, Ćušterevska, Renata, Dengler, Jürgen, Dziuba, Tetiana, Garbolino, Emmanuel, Jandt, Ute, Lenoir, Jonathan, Marcenò, Corrado, Rūsiņa, Solvita, Šibík, Jozef, Škvorc, Željko, Stančić, Zvjezdana, Stanišić‐Vujačić, Milica, Svenning, Jens‐Christian, Swacha, Grzegorz, Vassilev, Kiril, and Chytrý, Milan
Abstract: Aims: The Raunkiær's system classifies vascular plants into life forms based on the position of renewal buds during periods unfavourable for plant growth. Despite the importance of Raunkiær's system for ecological research, a study exploring the diversity and distribution of life forms on a continental scale is missing. We aim to (i) map the diversity and distribution of life forms in European vegetation and (ii) test for effects of bioclimatic variables while controlling for habitat-specific responses. Location: Europe. Methods: We used data on life forms of 8883 species recorded in 546,501 vegetation plots of different habitats (forest, grassland, scrub and wetland). For each plot, we calculated: (i) the proportion of species of each life form and (ii) the richness and evenness of life forms. We mapped these plot-level metrics averaged across 50 km × 50 km grid cells and modelled their response to bioclimatic variables. Results: Hemicryptophytes were the most widespread life form, especially in the temperate zone of Central Europe. Conversely, therophyte and chamaephyte species were more common in the Mediterranean as well as in the dry temperate regions. Moreover, chamaephytes were also more common in the boreal and arctic zones. Higher proportions of phanerophytes were found in the Mediterranean. Overall, a higher richness of life forms was found at lower latitudes while evenness showed more spatially heterogeneous patterns. Habitat type was the main discriminator for most of the responses analysed, but several moisture-related predictors still showed a marked effect on the diversity of therophytes and chamaephytes. Conclusions: Our maps can be used as a tool for future biogeographic and macro-ecological research at a continental scale. Habitat type and bioclimatic conditions are key for regulating the diversity and distribution of plant life forms, with concomitant consequences for the response of functional diversity in European vegetation to global environmen
Published: 2024

3. Structural, ecological and biogeographical attributes of European vegetation alliances

Author: Preislerová, Zdenka, Marcenò, Corrado, Loidi, Javier, Bonari, Gianmaria, Borovyk, Dariia, Gavilán, Rosario G., Golub, Valentin, Terzi, Massimo, Theurillat, Jean‐Paul, Argagnon, Olivier, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Dengler, Jürgen, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Fernández‐González, Federico, Guarino, Riccardo, Hájek, Ondřej, Iakushenko, Dmytro, Iemelianova, Svitlana, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kuzemko, Anna, Landucci, Flavia, Lososová, Zdeňka, Milanović, Đorđije, Molina, José Antonio, Monteiro‐Henriques, Tiago, Mucina, Ladislav, Novák, Pavel, Nowak, Arkadiusz, Pätsch, Ricarda, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Reczyńska, Kamila, Rūsiņa, Solvita, Mata, Daniel Sánchez, Guerra, Arnoldo Santos, Šibík, Jozef, Škvorc, Željko, Stešević, Danijela, Stupar, Vladimir, Świerkosz, Krzysztof, Tzonev, Rossen, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Chytrý, Milan, Preislerová, Zdenka, Marcenò, Corrado, Loidi, Javier, Bonari, Gianmaria, Borovyk, Dariia, Gavilán, Rosario G., Golub, Valentin, Terzi, Massimo, Theurillat, Jean‐Paul, Argagnon, Olivier, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Dengler, Jürgen, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Fernández‐González, Federico, Guarino, Riccardo, Hájek, Ondřej, Iakushenko, Dmytro, Iemelianova, Svitlana, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kuzemko, Anna, Landucci, Flavia, Lososová, Zdeňka, Milanović, Đorđije, Molina, José Antonio, Monteiro‐Henriques, Tiago, Mucina, Ladislav, Novák, Pavel, Nowak, Arkadiusz, Pätsch, Ricarda, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Reczyńska, Kamila, Rūsiņa, Solvita, Mata, Daniel Sánchez, Guerra, Arnoldo Santos, Šibík, Jozef, Škvorc, Željko, Stešević, Danijela, Stupar, Vladimir, Świerkosz, Krzysztof, Tzonev, Rossen, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, and Chytrý, Milan
Abstract: The data set described in this article is published on the publisher's webpage as Appendix S1. Future versions of this data set will be available online in the Download section of the FloraVeg.EU database (https://floraveg.eu/download/) and in the Zenodo repository (https://doi.org/10.5281/zenodo.10563021)., The first comprehensive phytosociological classification of all vegetation types in Europe (EuroVegChecklist; Applied Vegetation Science, 2016, 19, 3–264) contained brief descriptions of each type. However, these descriptions were not standardized and mentioned only the most distinct features of each vegetation type. The practical application of the vegetation classification system could be enhanced if users had the option to select sets of vegetation types based on various combinations of structural, ecological, and biogeographical attributes. Based on a literature review and expert knowledge, we created a new database that assigns standardized categorical attributes of 12 variables to each of the 1106 alliances dominated by vascular plants defined in EuroVegChecklist. These variables include dominant life form, phenological optimum, substrate moisture, substrate reaction, salinity, nutrient status, soil organic matter, vegetation region, elevational vegetation belt, azonality, successional status and naturalness. The new database has the potential to enhance the usefulness of phytosociological classification for researchers and practitioners and to help understand this classification to non-specialists.
Published: 2024

4. Alien plant invasions in European woodlands

Author: Wagner, Viktoria, Chytrý, Milan, Jiménez-Alfaro, Borja, Pergl, Jan, Hennekens, Stephan, Biurrun, Idoia, Knollová, Ilona, Berg, Christian, Vassilev, Kiril, Rodwell, John S., Škvorc, Željko, Jandt, Ute, Ewald, Jörg, Jansen, Florian, Tsiripidis, Ioannis, Botta-Dukát, Zoltán, Casella, Laura, Attorre, Fabio, Rašomavičius, Valerijus, Čušterevska, Renata, Schaminée, Joop H. J., Brunet, Jörg, Lenoir, Jonathan, Svenning, Jens-Christian, Kącki, Zygmunt, Petrášová-Šibíková, Mária, Šilc, Urban, Garía-Mijangos, Itziar, Campos, Juan Antonio, Fernández-González, Federico, Wohlgemuth, Thomas, Onyshchenko, Viktor, and Pyšek, Petr
Published: 2017

5. Different Ecological Niches of Poisonous Aristolochia clematitis in Central and Marginal Distribution Ranges—Another Contribution to a Better Understanding of Balkan Endemic Nephropathy

Author: Brzić, Ivan, primary, Brener, Magdalena, additional, Čarni, Andraž, additional, Ćušterevska, Renata, additional, Čulig, Borna, additional, Dziuba, Tetiana, additional, Golub, Valentin, additional, Irimia, Irina, additional, Jelaković, Bojan, additional, Kavgacı, Ali, additional, Krstivojević Ćuk, Mirjana, additional, Krstonošić, Daniel, additional, Stupar, Vladimir, additional, Trobonjača, Zlatko, additional, and Škvorc, Željko, additional
Published: 2023
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6. Rooting depth and xylem vulnerability are independent woody plant traits jointly selected by aridity, seasonality, and water table depth

Author: Laughlin, Daniel C., Siefert, Andrew, Fleri, Jesse R., Tumber-Dávila, Shersingh Joseph, Hammond, William M., Sabatini, Francesco Maria, Damasceno, Gabriella, Aubin, Isabelle, Field, Richard, Hatim, Mohamed Z., Jansen, Steven, Lenoir, Jonathan, Lens, Frederic, McCarthy, James K., Niinemets, Ülo, Phillips, Oliver L., Attorre, Fabio, Bergeron, Yves, Bruun, Hans Henrik, Byun, Chaeho, Ćušterevska, Renata, Dengler, Jürgen, De Sanctis, Michele, Dolezal, Jiri, Jiménez-Alfaro, Borja, Hérault, Bruno, Homeier, Jürgen, Kattge, Jens, Meir, Patrick, Mencuccini, Maurizio, Noroozi, Jalil, Nowak, Arkadiusz, Peñuelas, Josep, Schmidt, Marco, Škvorc, Željko, Sultana, Fahmida, Ugarte, Rosina Magaña, Bruelheide, Helge, Laughlin, Daniel C., Siefert, Andrew, Fleri, Jesse R., Tumber-Dávila, Shersingh Joseph, Hammond, William M., Sabatini, Francesco Maria, Damasceno, Gabriella, Aubin, Isabelle, Field, Richard, Hatim, Mohamed Z., Jansen, Steven, Lenoir, Jonathan, Lens, Frederic, McCarthy, James K., Niinemets, Ülo, Phillips, Oliver L., Attorre, Fabio, Bergeron, Yves, Bruun, Hans Henrik, Byun, Chaeho, Ćušterevska, Renata, Dengler, Jürgen, De Sanctis, Michele, Dolezal, Jiri, Jiménez-Alfaro, Borja, Hérault, Bruno, Homeier, Jürgen, Kattge, Jens, Meir, Patrick, Mencuccini, Maurizio, Noroozi, Jalil, Nowak, Arkadiusz, Peñuelas, Josep, Schmidt, Marco, Škvorc, Željko, Sultana, Fahmida, Ugarte, Rosina Magaña, and Bruelheide, Helge
Abstract: Evolutionary radiations of woody taxa within arid environments were made possible by multiple trait innovations including deep roots and embolism-resistant xylem, but little is known about how these traits have coevolved across the phylogeny of woody plants or how they jointly influence the distribution of species. We synthesized global trait and vegetation plot datasets to examine how rooting depth and xylem vulnerability across 188 woody plant species interact with aridity, precipitation seasonality, and water table depth to influence species occurrence probabilities across all biomes. Xylem resistance to embolism and rooting depth are independent woody plant traits that do not exhibit an interspecific trade-off. Resistant xylem and deep roots increase occurrence probabilities in arid, seasonal climates over deep water tables. Resistant xylem and shallow roots increase occurrence probabilities in arid, nonseasonal climates over deep water tables. Vulnerable xylem and deep roots increase occurrence probabilities in arid, nonseasonal climates over shallow water tables. Lastly, vulnerable xylem and shallow roots increase occurrence probabilities in humid climates. Each combination of trait values optimizes occurrence probabilities in unique environmental conditions. Responses of deeply rooted vegetation may be buffered if evaporative demand changes faster than water table depth under climate change.
Published: 2023

7. Formalized classification of the class Montio-Cardaminetea in Europe : towards a consistent typology of spring vegetation

Author: Peterka, Tomáš, Hájková, Petra, Jiroušek, Martin, Hinterlang, Dirk, Chytrý, Milan, Aunina, Liene, Deme, Judit, Lyons, Melinda, Seiler, Hallie, Zechmeister, Harald, Apostolova, Iva, Beierkuhnlein, Carl, Bischof, Melanie, Biţă-Nicolae, Claudia, Brancaleoni, Lisa, Ćušterevska, Renata, Dengler, Jürgen, Didukh, Yakiv, Dítě, Daniel, Felbaba-Klushyna, Lyubov, Garbolino, Emmanuel, Gerdol, Renato, Iemelianova, Svitlana, Jansen, Florian, Juutinen, Riikka, Kamberović, Jasmina, Kapfer, Jutta, Klímová, Barbora, Knollová, Ilona, Kolari, Tiina H. M., Lazarević, Predrag, Luostarinen, Ringa, Mikulášková, Eva, Milanović, Đorđije, Miserere, Luca, Moeslund, Jesper Erenskjold, Molina, José A., Pérez-Haase, Aaron, Petraglia, Alessandro, Puglisi, Marta, Ruprecht, Eszter, Šmerdová, Eva, Spitale, Daniel, Tomaselli, Marcello, Vassilev, Kiril, Hájek, Michal, Peterka, Tomáš, Hájková, Petra, Jiroušek, Martin, Hinterlang, Dirk, Chytrý, Milan, Aunina, Liene, Deme, Judit, Lyons, Melinda, Seiler, Hallie, Zechmeister, Harald, Apostolova, Iva, Beierkuhnlein, Carl, Bischof, Melanie, Biţă-Nicolae, Claudia, Brancaleoni, Lisa, Ćušterevska, Renata, Dengler, Jürgen, Didukh, Yakiv, Dítě, Daniel, Felbaba-Klushyna, Lyubov, Garbolino, Emmanuel, Gerdol, Renato, Iemelianova, Svitlana, Jansen, Florian, Juutinen, Riikka, Kamberović, Jasmina, Kapfer, Jutta, Klímová, Barbora, Knollová, Ilona, Kolari, Tiina H. M., Lazarević, Predrag, Luostarinen, Ringa, Mikulášková, Eva, Milanović, Đorđije, Miserere, Luca, Moeslund, Jesper Erenskjold, Molina, José A., Pérez-Haase, Aaron, Petraglia, Alessandro, Puglisi, Marta, Ruprecht, Eszter, Šmerdová, Eva, Spitale, Daniel, Tomaselli, Marcello, Vassilev, Kiril, and Hájek, Michal
Abstract: The class Montio-Cardaminetea includes vegetation of springs with constant water flow. These habitats, which function as islands for highly specialized and sensitive biota, are endangered by ongoing landscape and climatic changes. Although a harmonized classification into vegetation units is necessary for effective habitat conservation, there is currently no synthetic classification of the class Montio-Cardaminetea. Here a large set of vegetation-plot records was obtained from national and private databases. The aim was to validate the EuroVegChecklist classification scheme, search for additional ecologically meaningful vegetation types and develop an automatic system for classifying new plots from Europe. We formally defined the cores of eight of the ten EuroVegChecklist alliances: Caricion remotae, Cratoneurion commutati, Lycopodo europaei-Cratoneurion commutati, Epilobio nutantis-Montion, Koenigio- Microjuncion, Mniobryo-Epilobion hornemanii, Philonotidion seriatae (Cardamino-Montion) and Swertio perennis-Anisothecion squarrosi, which were also reproduced by unsupervised classifications. Both unsupervised and semi-supervised classifications further suggested two alliances not previously recognized in the EuroVegChecklist: Anthelion julaceae (liverwort- dominated subalpine to alpine springs in highly oceanic regions in Britain) and Cratoneuro filicini-Calthion laetae (mesotrophic herb-rich subalpine and alpine springs). The unsupervised classifications mainly reflected the base saturation gradient, distinguishing between calcareous and non-calcareous springs. Therefore, it is suggested the order Montio-Cardaminetalia, which is broadly delimited in the EuroVegChecklist, be divided into two separate orders and the following three orders should be distinguished within the class Montio-Cardaminetea: Cardamino-Chrysosplenietalia (non-calcareous forest springs; Caricion remotae), Cardamino-Cratoneuretalia (calcareous springs; Cratoneurion commutati, Lycopodo europaei-Cr
Published: 2023

8. Ellenberg-type indicator values for European vascular plant species

Author: Biología vegetal y ecología, Landaren biologia eta ekologia, Tichý, Lubomír, Axmanova, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P. P., Van Meerbeek, Koenraad, Acic, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun Galarraga, Miren Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos Prieto, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G. G., Gégout, Jean-Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolaus, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valerijus, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean-Paul, Wohlgemuth, Thomas, Chytrý, Milan, Biología vegetal y ecología, Landaren biologia eta ekologia, Tichý, Lubomír, Axmanova, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P. P., Van Meerbeek, Koenraad, Acic, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun Galarraga, Miren Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos Prieto, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G. G., Gégout, Jean-Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolaus, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valerijus, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean-Paul, Wohlgemuth, Thomas, and Chytrý, Milan
Abstract: 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.
Published: 2023

9. Ellenberg‐type indicator values for European vascular plant species

Author: Tichý, Lubomír, Axmanová, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P., Van Meerbeek, Koenraad, Aćić, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández‐Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G., Gégout, Jean‐Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez‐Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolaus, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez‐Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valerijus, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean‐Paul, Wohlgemuth, Thomas, Chytrý, Milan, Tichý, Lubomír, Axmanová, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P., Van Meerbeek, Koenraad, Aćić, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández‐Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G., Gégout, Jean‐Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez‐Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolaus, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez‐Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valerijus, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean‐Paul, Wohlgemuth, Thomas, and Chytrý, Milan
Abstract: 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.
Published: 2023

10. New floristic records in the Balkans: 52.

Author: Vladimirov, Vladimir, Aybeke, Mehmet, Matevski, Vlado, Ćušterevska, Renata, Tan, Kit, Asenov, Asen, Avreyska, Penka, Biel, Burkhard, Cattaneo, Cristina, Dimaki, Maria, Dimitrov, Dimitar S., Dimitrov, Plamen, Doulkeridou, Despina, Gavalas, Ioannis, Grano, Mauro, Ioannidis, Vassilis, Jahn, Ralf, Karakiev, Todor, Kofinas, Giannis, and Marianthi, Kozoni
Subjects: VIOLACEAE, THYMELAEACEAE, IRIDACEAE, OLEACEAE, ARACEAE, LAMIACEAE, PINACEAE
Abstract: New chorological data are presented for 164 species and subspecies from Bulgaria (1, 2, 76, 127-139, 142, 158-162), Greece (32-62, 77-126, 140-141, 143-157, 163, 164), Republic of North Macedonia (63-75), and Turkey-in-Europe (3-31). The taxa belong to the following families: Alliaceae (61, 77-81, 137), Amaryllidaceae (2, 82), Anacardiaceae (4, 32), Apiaceae (5-16, 129, 143, 144), Araceae (85), Arecaceae (85), Asclepiadaceae (33), Asparagaceae (138), Asphodelaceae (125, 162), Aspleniaceae (127), Asteraceae (17-26, 44-48, 63, 118, 145, 159-161), Berberidaceae (140), Betulaceae (163), Boraginaceae (64, 65, 146), Brassicaceae (49, 147), Campanulaceae (66, 67), Capparaceae (34), Caryophyllaceae (142, 150), Casuarinaceae (35), Chenopodiaceae (50), Colchicaceae (86), Convallariaceae (155, 156), Convolvulaceae (51), Cyperaceae (87-89), Equisetaceae (3), Ericaceae (52), Euphorbiaceae (27, 53, 54), Fabaceae (68, 69, 119), Grossulariaceae (130), Hyacinthaceae (90-93), Iridaceae (94-98, 126, 139, 141, 158), Juncaceae (99, 100), Lamiaceae (55, 56, 120, 131, 151), Liliaceae (101), Lythraceae (28, 132), Moraceae (121), Oleaceae (36), Onagraceae (37, 70), Ophioglossaceae (1), Orchidaceae (75, 76), Orobanchaceae (29), Pinaceae (128), Plantaginaceae (152), Plumbaginaceae (38), Poaceae (30, 31, 43, 102-117, 157), Portulacaceae (57), Primulaceae (71, 122), Ranunculaceae (123, 133, 148), Rosaceae (72, 134, 135), Rutaceae (153), Santalaceae (58, 154), Scrophulariaceae s.l. (73, 124), Simaroubaceae (39), Solanaceae (40-42, 59, 164), Thymelaeaceae (60), Typhaceae (62), Ulmaceae (136), and Violaceae (74, 149). A new taxon for a country is: Greece - Berberis aquifolium (140). The publication includes contributions by: A. Asenov (1), A. Asenov & P. Avreyska (2), M. Aybeke (3-31), B. Biel & Kit Tan (32-43), C. Cattaneo & M. Grano (44-62), D. Dimitrov (63-75), I. Gavalas, R. Jahn & Kit Tan (77-117), V. Ioannidis, D. Doulkeridou, K. Marianthi & A. Strid (118-126), T. Karakiev (127-139), D. Mermygkas & M. Dimaki (140, 141), S. Stoyanov & Y. Marinov (142), Kit Tan & G. Kofinas (143-149), Kit Tan & Sister Pachomia (150-157), V. Trifonov (158), V. Vladimirov (159-162), and G. Zarkos & Kit Tan (163, 164). [ABSTRACT FROM AUTHOR]
Published: 2023
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11. Formalized classification of the class Montio-Cardaminetea in Europe

Author: Peterka, Tomáš, primary, Hájková, Petra, additional, Jiroušek, Martin, additional, Hinterlang, Dirk, additional, Chytrý, Milan, additional, Aunina, Liene, additional, Deme, Judit, additional, Lyons, Melinda, additional, Seiler, Hallie, additional, Zechmeister, Harald, additional, Apostolova, Iva, additional, Beierkuhnlein, Carl, additional, Bischof, Melanie, additional, Biţă-Nicolae, Claudia, additional, Brancaleoni, Lisa, additional, Ćušterevska, Renata, additional, Dengler, Jürgen, additional, Didukh, Yakiv, additional, Dítě, Daniel, additional, Felbaba-Klushyna, Lyubov, additional, Garbolino, Emmanuel, additional, Gerdol, Renato, additional, Iemelianova, Svitlana, additional, Jansen, Florian, additional, Juutinen, Riikka, additional, Kamberović, Jasmina, additional, Kapfer, Jutta, additional, Klímová, Barbora, additional, Knollová, Ilona, additional, Kolari, Tiina H. M., additional, Lazarević, Predrag, additional, Luostarinen, Ringa, additional, Mikulášková, Eva, additional, Milanović, Đorđije, additional, Miserere, Luca, additional, Moeslund, Jesper Erenskjold, additional, Molina, José A., additional, Pérez-Haase, Aaron, additional, Petraglia, Alessandro, additional, Puglisi, Marta, additional, Ruprecht, Eszter, additional, Šmerdová, Eva, additional, Spitale, Daniel, additional, Tomaselli, Marcello, additional, Vassilev, Kiril, additional, and Hájek, Michal, additional
Published: 2023
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12. Blysmo compressi-Eriophoretum latifoliae ass. nova, a new association of the Caricion fuscae alliance from the Sharri Mountains

Author: Berisha, Naim, Ćušterevska, Renata, Millaku, Fadil, and Matevski, Vlado
Subjects: Supervised vegetation classification, phytosociology, Kosovo, plant taxonomy, Biodiversity conservation
Abstract: The sedge-moss vegetation of the moderately to low calcium-rich slightly acidic fens of the Caricion fuscae alliance depends on a very specific combination of ecological and climatic conditions to thrive. Until recently, the classification of this vegetation group was complicated by its rarity on the southern edges of its range in Europe. As part of a larger database of phytocenological relevés carried out in Mt. Luboten, we came across an interesting group of 15 relevés on fen vegetation sites. We were curious to know if this plant community was a previously known association or if it might represent something new within this alliance. We compiled a separate dataset at JUICE that includes four plant communities from this alliance, along with our 15 original releves. The classification was based on modified TWINSPAN and beta-flexible clustering as a numerical classification method, with OPTIMCLASS determining the appropriate number of clusters. Five associations were clearly delineated, with the four associations taken from the literature sources clearly grouped individually and a new, fifth association appearing as separate, with completely unique characteristics. This new association: Blysmo compressi-Eriophoretum latifoliae occurs at elevations of ~ 1650 m a.s.l. on NE and NW slopes of the mountain. With this work we offer the description of a new high-mountain fen association. These associations may play an important syntaxonomic role as more Balkan data become available on this alliance. The sedge-moss and fen vegetation in the Balkans is particularly rare and characterised by a very diverse and specific vegetation, so it rightly deserves more attention from vegetation scientists and conservation authorities.
Published: 2023

13. Root traits explain plant species distributions along climatic gradients yet challenge the nature of ecological trade-offs

Author: German Research Foundation, Biological and Environmental Research (US), University of Göttingen, Laughlin, Daniel C. [0000-0002-9651-5732], Mommer, Liesje [0000-0002-3775-0716], Sabatini, Francesco Maria [0000-0002-7202-7697], Bruelheide, Helge [0000-0003-3135-0356], Kuyper, Thom W. [0000-0002-3896-4943], McCormack, M. Luke [0000-0002-8300-5215], Bergmann, Joana [0000-0002-2008-4198], Freschet, Grégoire T. [0000-0002-8830-3860], Guerrero-Ramírez, Nathaly R. [0000-0001-7311-9852], Iversen, Colleen M. [0000-0001-8293-3450], Kattge, Jens [0000-0002-1022-8469], Meier, Ina C. [0000-0001-6500-7519], Poorter, Hendrik [0000-0001-9900-2433], Roumet, Catherine [0000-0003-1320-9770], Semchenko, Marina [0000-0001-6196-3562], Valverde-Barrantes, Oscar J. [0000-0002-7327-7647], van der Plas, Fons [0000-0003-4680-543X], van Ruijven, Jasper [0000-0003-0003-2363], York, Larry M. [0000-0002-1995-9479], Aubin, Isabelle [0000-0002-5953-1012], Burge, Olivia R. [0000-0001-7719-6695], Byun, Chaeho [0000-0003-3209-3275], Ćušterevska, Renata [0000-0002-3849-6983], Dengler, Jürgen [0000-0003-3221-660X], Forey, Estelle [0000-0001-6082-3023], Guerin, Greg R. [0000-0002-2104-6695], Hérault, Bruno [0000-0002-6950-7286], Jackson, Robert B. [0000-0001-8846-7147], Karger, Dirk Nikolaus [0000-0001-7770-6229], Lenoir, Jonathan [0000-0003-0638-9582], Lysenko, Tatiana [0000-0001-6688-1590], Meir, Patrick [0000-0002-2362-0398], Niinemets, Ülo [0000-0002-3078-2192], Ozinga, Wim A. [0000-0002-6369-7859], Peñuelas, Josep [0000-0002-7215-0150], Reich, Peter B. [0000-0003-4424-662X], Schmidt, Marco [0000-0001-6087-6117], Schrodt, Franziska [0000-0001-9053-8872], Weigelt, Alexandra [0000-0001-6242-603X], Laughlin, Daniel C, Mommer, Liesje, Sabatini, Francesco Maria, Bruelheide, Helge, Kuyper, Thom W., McCormack, M Luke, Bergmann, Joana, Freschet, Grégoire T, Guerrero-Ramírez, Nathaly R., Iversen, Colleen M., Kattge, Jens, Meier, Ina C., Poorter, Hendrik, Roumet, Catherine, Semchenko, Marina, Sweeney, Christopher J., Valverde-Barrantes, Oscar J., van der Plas, Fons, van Ruijven, Jasper, York, Larry M., Aubin, Isabelle, Burge, Olivia R., Byun, Chaeho, Ćušterevska, Renata, Dengler, Jürgen, Forey, Estelle, Guerin, Greg R., Hérault, Bruno, Jackson, Robert B., Karger, Dirk Nikolaus, Lenoir, Jonathan, Lysenko, Tatiana, Meir, Patrick, Niinemets, Ülo, Ozinga, Wim A., Peñuelas, Josep, Reich, Peter B., Schmidt, Marco, Schrodt, Franziska, Velázquez, Eduardo, Weigelt, Alexandra, German Research Foundation, Biological and Environmental Research (US), University of Göttingen, Laughlin, Daniel C. [0000-0002-9651-5732], Mommer, Liesje [0000-0002-3775-0716], Sabatini, Francesco Maria [0000-0002-7202-7697], Bruelheide, Helge [0000-0003-3135-0356], Kuyper, Thom W. [0000-0002-3896-4943], McCormack, M. Luke [0000-0002-8300-5215], Bergmann, Joana [0000-0002-2008-4198], Freschet, Grégoire T. [0000-0002-8830-3860], Guerrero-Ramírez, Nathaly R. [0000-0001-7311-9852], Iversen, Colleen M. [0000-0001-8293-3450], Kattge, Jens [0000-0002-1022-8469], Meier, Ina C. [0000-0001-6500-7519], Poorter, Hendrik [0000-0001-9900-2433], Roumet, Catherine [0000-0003-1320-9770], Semchenko, Marina [0000-0001-6196-3562], Valverde-Barrantes, Oscar J. [0000-0002-7327-7647], van der Plas, Fons [0000-0003-4680-543X], van Ruijven, Jasper [0000-0003-0003-2363], York, Larry M. [0000-0002-1995-9479], Aubin, Isabelle [0000-0002-5953-1012], Burge, Olivia R. [0000-0001-7719-6695], Byun, Chaeho [0000-0003-3209-3275], Ćušterevska, Renata [0000-0002-3849-6983], Dengler, Jürgen [0000-0003-3221-660X], Forey, Estelle [0000-0001-6082-3023], Guerin, Greg R. [0000-0002-2104-6695], Hérault, Bruno [0000-0002-6950-7286], Jackson, Robert B. [0000-0001-8846-7147], Karger, Dirk Nikolaus [0000-0001-7770-6229], Lenoir, Jonathan [0000-0003-0638-9582], Lysenko, Tatiana [0000-0001-6688-1590], Meir, Patrick [0000-0002-2362-0398], Niinemets, Ülo [0000-0002-3078-2192], Ozinga, Wim A. [0000-0002-6369-7859], Peñuelas, Josep [0000-0002-7215-0150], Reich, Peter B. [0000-0003-4424-662X], Schmidt, Marco [0000-0001-6087-6117], Schrodt, Franziska [0000-0001-9053-8872], Weigelt, Alexandra [0000-0001-6242-603X], Laughlin, Daniel C, Mommer, Liesje, Sabatini, Francesco Maria, Bruelheide, Helge, Kuyper, Thom W., McCormack, M Luke, Bergmann, Joana, Freschet, Grégoire T, Guerrero-Ramírez, Nathaly R., Iversen, Colleen M., Kattge, Jens, Meier, Ina C., Poorter, Hendrik, Roumet, Catherine, Semchenko, Marina, Sweeney, Christopher J., Valverde-Barrantes, Oscar J., van der Plas, Fons, van Ruijven, Jasper, York, Larry M., Aubin, Isabelle, Burge, Olivia R., Byun, Chaeho, Ćušterevska, Renata, Dengler, Jürgen, Forey, Estelle, Guerin, Greg R., Hérault, Bruno, Jackson, Robert B., Karger, Dirk Nikolaus, Lenoir, Jonathan, Lysenko, Tatiana, Meir, Patrick, Niinemets, Ülo, Ozinga, Wim A., Peñuelas, Josep, Reich, Peter B., Schmidt, Marco, Schrodt, Franziska, Velázquez, Eduardo, and Weigelt, Alexandra
Abstract: Ecological theory is built on trade-offs, where trait differences among species evolved as adaptations to different environments. Trade-offs are often assumed to be bidirectional, where opposite ends of a gradient in trait values confer advantages in different environments. However, unidirectional benefits could be widespread if extreme trait values confer advantages at one end of an environmental gradient, whereas a wide range of trait values are equally beneficial at the other end. Here, we show that root traits explain species occurrences along broad gradients of temperature and water availability, but model predictions only resembled trade-offs in two out of 24 models. Forest species with low specific root length and high root tissue density (RTD) were more likely to occur in warm climates but species with high specific root length and low RTD were more likely to occur in cold climates. Unidirectional benefits were more prevalent than trade-offs: for example, species with large-diameter roots and high RTD were more commonly associated with dry climates, but species with the opposite trait values were not associated with wet climates. Directional selection for traits consistently occurred in cold or dry climates, whereas a diversity of root trait values were equally viable in warm or wet climates. Explicit integration of unidirectional benefits into ecological theory is needed to advance our understanding of the consequences of trait variation on species responses to environmental change.
Published: 2021

14. Distribution maps of vegetation alliances in Europe

Author: Biología vegetal y ecología, Landaren biologia eta ekologia, Preislerová, Zdenka, Jiménez-Alfaro, Borja, Mucina, Ladislav, Berg, Christian, Bonari, Gianmaria, Kuzemko, Anna, Landucci, Flavia, Marcenò, Corrado, Monteiro-Henriques, Tiago, Novák, Pavel, Vynokurov, Denys, Bergmeier, Erwin, Dengler, Jürgen, Apostolova, Iva, Bioret, Frederic, Biurrun, Idoia, Biurrun Galarraga, Miren Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Daniëls, Fred J.A., De Sanctis, Michele, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Golovanov, Yaroslav, Golub, Valentin, Guarino, Riccardo, Hájek, Michal, Iakushenko, Dmytro, Indreica, Adrian, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kucherov, Ilya, Küzmič, Filip, Lebedeva, Maria, Loidi, Javier, Lososová, Zdeňka, Lysenko, Tatiana, Milanović, Đorđije, Onyshchenko, Viktor, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Rodríguez-Rojo, María Pilar, Rodwell, John S., Rūsiņa, Solvita, Sánchez-Mata, Daniel, Schaminée, Joop H.J., Semenishchenkov, Yuri, Shevchenko, Nikolay, Šibík, Jozef, Škvorc, Željko, Smagin, Viktor, Stešević, Danijela, Stupar, Vladimir, Šumberová, Kateřina, Theurillat, Jean-Paul, Tikhonova, Elena, Tzonev, Rossen, Valachovič, Milan, Vassilev, Kiril, Willner, Wolfgang, Yamalov, Sergey, Milan Chytrý, Martin Večeřa, Biología vegetal y ecología, Landaren biologia eta ekologia, Preislerová, Zdenka, Jiménez-Alfaro, Borja, Mucina, Ladislav, Berg, Christian, Bonari, Gianmaria, Kuzemko, Anna, Landucci, Flavia, Marcenò, Corrado, Monteiro-Henriques, Tiago, Novák, Pavel, Vynokurov, Denys, Bergmeier, Erwin, Dengler, Jürgen, Apostolova, Iva, Bioret, Frederic, Biurrun, Idoia, Biurrun Galarraga, Miren Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Daniëls, Fred J.A., De Sanctis, Michele, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Golovanov, Yaroslav, Golub, Valentin, Guarino, Riccardo, Hájek, Michal, Iakushenko, Dmytro, Indreica, Adrian, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kucherov, Ilya, Küzmič, Filip, Lebedeva, Maria, Loidi, Javier, Lososová, Zdeňka, Lysenko, Tatiana, Milanović, Đorđije, Onyshchenko, Viktor, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Rodríguez-Rojo, María Pilar, Rodwell, John S., Rūsiņa, Solvita, Sánchez-Mata, Daniel, Schaminée, Joop H.J., Semenishchenkov, Yuri, Shevchenko, Nikolay, Šibík, Jozef, Škvorc, Željko, Smagin, Viktor, Stešević, Danijela, Stupar, Vladimir, Šumberová, Kateřina, Theurillat, Jean-Paul, Tikhonova, Elena, Tzonev, Rossen, Valachovič, Milan, Vassilev, Kiril, Willner, Wolfgang, Yamalov, Sergey, and Milan Chytrý, Martin Večeřa
Abstract: Aim The first comprehensive checklist of European phytosociological alliances, orders and classes (EuroVegChecklist) was published by Mucina et al. (2016, Applied Vegetation Science, 19 (Suppl. 1), 3-264). However, this checklist did not contain detailed information on the distribution of individual vegetation types. Here we provide the first maps of all alliances in Europe. Location Europe, Greenland, Canary Islands, Madeira, Azores, Cyprus and the Caucasus countries. Methods We collected data on the occurrence of phytosociological alliances in European countries and regions from literature and vegetation-plot databases. We interpreted and complemented these data using the expert knowledge of an international team of vegetation scientists and matched all the previously reported alliance names and concepts with those of the EuroVegChecklist. We then mapped the occurrence of the EuroVegChecklist alliances in 82 territorial units corresponding to countries, large islands, archipelagos and peninsulas. We subdivided the mainland parts of large or biogeographically heterogeneous countries based on the European biogeographical regions. Specialized alliances of coastal habitats were mapped only for the coastal section of each territorial unit. Results Distribution maps were prepared for 1,105 alliances of vascular-plant dominated vegetation reported in the EuroVegChecklist. For each territorial unit, three levels of occurrence probability were plotted on the maps: (a) verified occurrence; (b) uncertain occurrence; and (c) absence. The maps of individual alliances were complemented by summary maps of the number of alliances and the alliance-area relationship. Distribution data are also provided in a spreadsheet. Conclusions The new map series represents the first attempt to characterize the distribution of all vegetation types at the alliance level across Europe. There are still many knowledge gaps, partly due to a lack of data for some regions and partly due to uncertainti
Published: 2022

15. Distribution maps of vegetation alliances in Europe

Author: Preislerová, Zdenka, Jiménez‐Alfaro, Borja, Mucina, Ladislav, Berg, Christian, Bonari, Gianmaria, Kuzemko, Anna, Landucci, Flavia, Marcenò, Corrado, Monteiro‐Henriques, Tiago, Novák, Pavel, Vynokurov, Denys, Bergmeier, Erwin, Dengler, Jürgen, Apostolova, Iva, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Daniëls, Fred J.A., De Sanctis, Michele, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Golovanov, Yaroslav, Golub, Valentin, Guarino, Riccardo, Hájek, Michal, Iakushenko, Dmytro, Indreica, Adrian, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kucherov, Ilya, Küzmič, Filip, Lebedeva, Maria, Loidi, Javier, Lososová, Zdeňka, Lysenko, Tatiana, Milanović, Đorđije, Onyshchenko, Viktor, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Rodríguez‐Rojo, María Pilar, Rodwell, John S., Rūsiņa, Solvita, Sánchez‐Mata, Daniel, Schaminée, Joop H.J., Semenishchenkov, Yuri, Shevchenko, Nikolay, Šibík, Jozef, Škvorc, Željko, Smagin, Viktor, Stešević, Danijela, Stupar, Vladimir, Šumberová, Kateřina, Theurillat, Jean‐Paul, Tikhonova, Elena, Tzonev, Rossen, Valachovič, Milan, Vassilev, Kiril, Willner, Wolfgang, Yamalov, Sergey, Večeřa, Martin, Chytrý, Milan, Preislerová, Zdenka, Jiménez‐Alfaro, Borja, Mucina, Ladislav, Berg, Christian, Bonari, Gianmaria, Kuzemko, Anna, Landucci, Flavia, Marcenò, Corrado, Monteiro‐Henriques, Tiago, Novák, Pavel, Vynokurov, Denys, Bergmeier, Erwin, Dengler, Jürgen, Apostolova, Iva, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Daniëls, Fred J.A., De Sanctis, Michele, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Golovanov, Yaroslav, Golub, Valentin, Guarino, Riccardo, Hájek, Michal, Iakushenko, Dmytro, Indreica, Adrian, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kucherov, Ilya, Küzmič, Filip, Lebedeva, Maria, Loidi, Javier, Lososová, Zdeňka, Lysenko, Tatiana, Milanović, Đorđije, Onyshchenko, Viktor, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Rodríguez‐Rojo, María Pilar, Rodwell, John S., Rūsiņa, Solvita, Sánchez‐Mata, Daniel, Schaminée, Joop H.J., Semenishchenkov, Yuri, Shevchenko, Nikolay, Šibík, Jozef, Škvorc, Željko, Smagin, Viktor, Stešević, Danijela, Stupar, Vladimir, Šumberová, Kateřina, Theurillat, Jean‐Paul, Tikhonova, Elena, Tzonev, Rossen, Valachovič, Milan, Vassilev, Kiril, Willner, Wolfgang, Yamalov, Sergey, Večeřa, Martin, and Chytrý, Milan
Abstract: Aim: The first comprehensive checklist of European phytosociological alliances, orders and classes (EuroVegChecklist) was published by Mucina et al. (2016, Applied Vegetation Science, 19 (Suppl. 1), 3–264). However, this checklist did not contain detailed information on the distribution of individual vegetation types. Here we provide the first maps of all alliances in Europe. Location: Europe, Greenland, Canary Islands, Madeira, Azores, Cyprus and the Caucasus countries. Methods: We collected data on the occurrence of phytosociological alliances in European countries and regions from literature and vegetation-plot databases. We interpreted and complemented these data using the expert knowledge of an international team of vegetation scientists and matched all the previously reported alliance names and concepts with those of the EuroVegChecklist. We then mapped the occurrence of the EuroVegChecklist alliances in 82 territorial units corresponding to countries, large islands, archipelagos and peninsulas. We subdivided the mainland parts of large or biogeographically heterogeneous countries based on the European biogeographical regions. Specialized alliances of coastal habitats were mapped only for the coastal section of each territorial unit. Results: Distribution maps were prepared for 1,105 alliances of vascular-plant dominated vegetation reported in the EuroVegChecklist. For each territorial unit, three levels of occurrence probability were plotted on the maps: (a) verified occurrence; (b) uncertain occurrence; and (c) absence. The maps of individual alliances were complemented by summary maps of the number of alliances and the alliance–area relationship. Distribution data are also provided in a spreadsheet. Conclusions: The new map series represents the first attempt to characterize the distribution of all vegetation types at the alliance level across Europe. There are still many knowledge gaps, partly due to a lack of data for some regions and partly due to uncert
Published: 2022

16. Bringing the margin to the focus : 10 challenges for riparian vegetation science and management

Author: Rodríguez-González, Patricia M., Abraham, Eleni, Aguiar, Francisca, Andreoli, Andrea, Baležentienė, Ligita, Berisha, Naim, Bernez, Ivan, Bruen, Michael, Bruno, Daniel, Camporeale, Carlo, Čarni, Andraž, Chilikova-Lubomirova, Mila, Corenblit, Dov, Ćušterevska, Renata, Doody, Tanya, England, Judy, Evette, André, Francis, Robert, Garófano-Gómez, Virginia, González del Tánago, Marta, Gultekin, Yasar Selman, Guyard, Florian, Hellsten, Seppo, Hinkov, Georgi, Jakubínský, Jiří, Janssen, Philippe, Jansson, Roland, Kail, Jochem, Keles, Emine, Kelly-Quinn, Mary, Kidová, Anna, Kiss, Tímea, Kulvik, Mart, La Porta, Nicola, Laslier, Marianne, Latella, Melissa, Lorenz, Stefan, Mandžukovski, Dejan, Manolaki, Paraskevi, Martinez-Fernández, Vanesa, Merritt, David, Michez, Adrien, Milovanović, Jelena, Okruszko, Tomasz, Papastergiadou, Eva, Penning, Ellis, Pielech, Remigiusz, Politti, Emilio, Portela, Ana, Riis, Tenna, Škvorc, Željko, Slezák, Michal, Stammel, Barbara, Stella, John, Stesevic, Danijela, Stupar, Vladimir, Tammeorg, Olga, Tammeorg, Priit, Fosholt, Therese Moe, Urbanič, Gorazd, Villar, Marc, Vogiatzakis, Ioannis, Vrchovsky, Paul, Yousefpour, Rasoul, Zinke, Peggy, Zlatanov, Tzvetan, Dufour, Simon, Rodríguez-González, Patricia M., Abraham, Eleni, Aguiar, Francisca, Andreoli, Andrea, Baležentienė, Ligita, Berisha, Naim, Bernez, Ivan, Bruen, Michael, Bruno, Daniel, Camporeale, Carlo, Čarni, Andraž, Chilikova-Lubomirova, Mila, Corenblit, Dov, Ćušterevska, Renata, Doody, Tanya, England, Judy, Evette, André, Francis, Robert, Garófano-Gómez, Virginia, González del Tánago, Marta, Gultekin, Yasar Selman, Guyard, Florian, Hellsten, Seppo, Hinkov, Georgi, Jakubínský, Jiří, Janssen, Philippe, Jansson, Roland, Kail, Jochem, Keles, Emine, Kelly-Quinn, Mary, Kidová, Anna, Kiss, Tímea, Kulvik, Mart, La Porta, Nicola, Laslier, Marianne, Latella, Melissa, Lorenz, Stefan, Mandžukovski, Dejan, Manolaki, Paraskevi, Martinez-Fernández, Vanesa, Merritt, David, Michez, Adrien, Milovanović, Jelena, Okruszko, Tomasz, Papastergiadou, Eva, Penning, Ellis, Pielech, Remigiusz, Politti, Emilio, Portela, Ana, Riis, Tenna, Škvorc, Željko, Slezák, Michal, Stammel, Barbara, Stella, John, Stesevic, Danijela, Stupar, Vladimir, Tammeorg, Olga, Tammeorg, Priit, Fosholt, Therese Moe, Urbanič, Gorazd, Villar, Marc, Vogiatzakis, Ioannis, Vrchovsky, Paul, Yousefpour, Rasoul, Zinke, Peggy, Zlatanov, Tzvetan, and Dufour, Simon
Abstract: Riparian zones are the paragon of transitional ecosystems, providing critical habitat and ecosystem services that are especially threatened by global change. Following consultation with experts, 10 key challenges were identified to be addressed for riparian vegetation science and management improvement: (1) Create a distinct scientific community by establishing stronger bridges between disciplines; (2) Make riparian vegetation more visible and appreciated in society and policies; (3) Improve knowledge regarding biodiversity—ecosystem functioning links; (4) Manage spatial scale and context-based issues; (5) Improve knowledge on social dimensions of riparian vegetation; (6) Anticipate responses to emergent issues and future trajectories; (7) Enhance tools to quantify and prioritize ecosystem services; (8) Improve numerical modeling and simulation tools; (9) Calibrate methods and increase data availability for better indicators and monitoring practices and transferability; and (10) Undertake scientific validation of best management practices. These challenges are discussed and critiqued here, to guide future research into riparian vegetation.
Published: 2022
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17. Ellenberg-type indicator values for European vascular plant species

Author: Tichý, Lubomír, Axmanová, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P., Van Meerbeek, Koenraad, Aćić, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández-Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G., Gégout, Jean Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez-Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolaus, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez-Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valerijus, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean Paul, Wohlgemuth, Thomas, Chytrý, Milan, Tichý, Lubomír, Axmanová, Irena, Dengler, Jürgen, Guarino, Riccardo, Jansen, Florian, Midolo, Gabriele, Nobis, Michael P., Van Meerbeek, Koenraad, Aćić, Svetlana, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Chiarucci, Alessandro, Ćuk, Mirjana, Ćušterevska, Renata, Didukh, Yakiv, Dítě, Daniel, Dítě, Zuzana, Dziuba, Tetiana, Fanelli, Giuliano, Fernández-Pascual, Eduardo, Garbolino, Emmanuel, Gavilán, Rosario G., Gégout, Jean Claude, Graf, Ulrich, Güler, Behlül, Hájek, Michal, Hennekens, Stephan M., Jandt, Ute, Jašková, Anni, Jiménez-Alfaro, Borja, Julve, Philippe, Kambach, Stephan, Karger, Dirk Nikolaus, Karrer, Gerhard, Kavgacı, Ali, Knollová, Ilona, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lengyel, Attila, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Novák, Pavel, Pérez-Haase, Aaron, Peterka, Tomáš, Pielech, Remigiusz, Pignatti, Alessandro, Rašomavičius, Valerijus, Rūsiņa, Solvita, Saatkamp, Arne, Šilc, Urban, Škvorc, Željko, Theurillat, Jean Paul, Wohlgemuth, Thomas, and Chytrý, Milan
Abstract: This is a dataset of Ellenberg-type indicator values for European vascular plant species described in this article: Tichý L., Axmanová I., Dengler J., Guarino R., Jansen F., Midolo G., Nobis M.P., Van Meerbeek K., Aćić S., Attorre F., Bergmeier E., Biurrun I., Bonari G., Bruelheide H., Campos J.A., Čarni A., Chiarucci A., Ćuk M., Ćušterevska M., Didukh Y., Dítě D., Dítě Z., Dziuba T., Fanelli G., Fernández-Pascual E., Garbolino E., Gavilán R.G., Gégout J.-C., Graf U., Güler B., Hájek M., Hennekens S.M., Jandt U., Jašková A., Jiménez-Alfaro B., Julve P., Kambach S., Karger D.N., Karrer G., Kavgacı A., Knollová I., Kuzemko A., Küzmič F., Landucci F., Lengyel A., Lenoir J., Marcenò C., Moeslund J.E., Novák P., Pérez-Haase A., Peterka T., Pielech R., Pignatti A., Rašomavičius V., Rūsiņa S., Saatkamp A., Šilc U., Škvorc Ž., Theurillat J.-P., Wohlgemuth T. & Chytrý M. (2023) Ellenberg-type indicator values for European vascular plant species. Journal of Vegetation Science, 34, e13168. https://doi.org/10.1111/jvs.13168 The dataset contains: 1) Harmonized Ellenberg-type indicator values for light, temperature, moisture, reaction, nutrients, and salinity for European vascular plants. 2) Original indicator values from 13 datasets of Ellenberg-type indicator values: - Germany (Ellenberg & Leuschner 2010) - Austria (Karrer 1992) - Cantabrian Range (Jiménez-Alfaro et al. 2021) - Czech Republic (Chytrý et al. 2018) - European mires (Hájek et al. 2020) - France (Julve 2015) - Great Britain (Hill et al. 2000) - Greece (South Aegean) (Böhling et al. 2002) - Hungary (Borhidi 1995) - Italy (Guarino & La Rosa 2019, modified) - Saline habitats (Dítě et al. 2023) - Switzerland and the Alps (Landolt et al. 2010) - Ukraine (Didukh 2011) 3) Species nomenclature is standardized according to the Euro+Med PlantBase (http://europlusmed.org)., This is a dataset of Ellenberg-type indicator values for European vascular plant species described in this article: Tichý L., Axmanová I., Dengler J., Guarino R., Jansen F., Midolo G., Nobis M.P., Van Meerbeek K., Aćić S., Attorre F., Bergmeier E., Biurrun I., Bonari G., Bruelheide H., Campos J.A., Čarni A., Chiarucci A., Ćuk M., Ćušterevska M., Didukh Y., Dítě D., Dítě Z., Dziuba T., Fanelli G., Fernández-Pascual E., Garbolino E., Gavilán R.G., Gégout J.-C., Graf U., Güler B., Hájek M., Hennekens S.M., Jandt U., Jašková A., Jiménez-Alfaro B., Julve P., Kambach S., Karger D.N., Karrer G., Kavgacı A., Knollová I., Kuzemko A., Küzmič F., Landucci F., Lengyel A., Lenoir J., Marcenò C., Moeslund J.E., Novák P., Pérez-Haase A., Peterka T., Pielech R., Pignatti A., Rašomavičius V., Rūsiņa S., Saatkamp A., Šilc U., Škvorc Ž., Theurillat J.-P., Wohlgemuth T. & Chytrý M. (2023) Ellenberg-type indicator values for European vascular plant species. Journal of Vegetation Science, 34, e13168. https://doi.org/10.1111/jvs.13168 The dataset contains: 1) Harmonized Ellenberg-type indicator values for light, temperature, moisture, reaction, nutrients, and salinity for European vascular plants. 2) Original indicator values from 13 datasets of Ellenberg-type indicator values: - Germany (Ellenberg & Leuschner 2010) - Austria (Karrer 1992) - Cantabrian Range (Jiménez-Alfaro et al. 2021) - Czech Republic (Chytrý et al. 2018) - European mires (Hájek et al. 2020) - France (Julve 2015) - Great Britain (Hill et al. 2000) - Greece (South Aegean) (Böhling et al. 2002) - Hungary (Borhidi 1995) - Italy (Guarino & La Rosa 2019, modified) - Saline habitats (Dítě et al. 2023) - Switzerland and the Alps (Landolt et al. 2010) - Ukraine (Didukh 2011) 3) Species nomenclature is standardized according to the Euro+Med PlantBase (http://europlusmed.org).
Published: 2022

18. Explanation of beta diversity in European alpine grasslands changes with scale

Author: Malanson, George P., primary, Pansing, Elizabeth R., additional, Testolin, Riccardo, additional, Abdulhak, Sylvain, additional, Bergamini, Ariel, additional, Ćušterevska, Renata, additional, Marcenò, Corrado, additional, Kuzmanović, Nevena, additional, Milanović, Đorđije, additional, Ruprecht, Eszter, additional, Šibík, Jozef, additional, Vassilev, Kiril, additional, Willner, Wolfgang, additional, and Jiménez‐Alfaro, Borja, additional
Published: 2022
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19. Relationships between vegetation of Macedonian pine (Pinus peuce Griseb.) and different types of soils on which it develops

Author: Mandžukovski, Dejan, primary, Teofilovski, Aco, additional, Andreevski, Marjan, additional, Ćušterevska, Renata, additional, Tzonev, Rossen, additional, and Dimitrov, Marius, additional
Published: 2022
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20. Dimensions of invasiveness: Links between local abundance, geographic range size, and habitat breadth in Europe & rsquo;s alien and native floras

Author: Fristoe, Trevor S., Chytrý, Milan, Dawson, Wayne, Essl, Franz, Heleno, Ruben, Kreft, Holger, Maurel, Noëlie, Pergl, Jan, Pyšek, Petr, Seebens, Hanno, Weigelt, Patrick, Vargas, Pablo, Yang, Qiang, Attorre, Fabio, Bergmeier, Erwin, Bernhardt-Römermann, Markus, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Botta-Dukát, Zoltán, Bruun, Hans Henrik, Byun, Chaeho, Čarni, Andraz, Carranza, Maria Laura, Catford, Jane A., Cerabolini, Bruno E. L., Chacón-Madrigal, Eduardo, Ciccarelli, Daniela, Ćušterevska, Renata, de Ronde, Iris, Dengler, Jurgen, Golub, Valentin, Haveman, Rense, Hough-Snee, Nate, Jandt, Ute, Jansen, Florian, Kuzemko, Anna, Küzmič, Filip, Lenoir, Jonathan, Macanović, Armin, Marcenò, Corrado, Martin, Adam R., Michaletz, Sean T., Mori, Akira S., Niinemets, Ülo, Peterka, Tomáš, Pielech, Remigiusz, Rašomavičius, Valerijus, Rūsiņa, Solvita, Dias, Arildo S., Šibíková, Mária, Šilc, Urban, Stanisci, Angela, Jansen, Steven, Svenning, Jens-Christian, Swacha, Grzegorz, van der Plas, Fons, Vassilev, Kiril, and van Kleunen, Mark
Subjects: enemy release, leaf economic spectrum, distribution-abundance relationship, invasion success, forms of rarity
Abstract: Understanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have yet to be assessed at large geographic scales. Here, we combine data from over one million vegetation plots covering the extent of Europe and its habitat diversity with databases on species’ distributions, traits, and historical origins to provide a comprehensive assessment of invasiveness dimensions for the European alien seed plant flora. Invasiveness dimensions are linked in alien distributions, leading to a continuum from overall poor invaders to super invaders—abundant, widespread aliens that invade diverse habitats. This pattern echoes relationships among analogous dimensions measured for native European species. Success along invasiveness dimensions was associated with details of alien species’ introduction histories: earlier introduction dates were positively associated with all three dimensions, and consistent with theory-based expectations, species originating from other continents, particularly acquisitive growth strategists, were among the most successful invaders in Europe. Despite general correlations among invasiveness dimensions, we identified habitats and traits associated with atypical patterns of success in only one or two dimensions—for example, the role of disturbed habitats in facilitating widespread specialists. We conclude that considering invasiveness within a multidimensional framework can provide insights into invasion processes while also informing general understanding of the dynamics of species distributions.
Published: 2021

21. Different Sets of Traits Explain Abundance and Distribution Patterns of European Plants at Different Spatial Scales

Author: Biología vegetal y ecología, Landaren biologia eta ekologia, Sporbert, Maria, Welk, Erik, Seidler, Gunnar, Jandt, Ute, Aćić, Svetlana, Biurrun Galarraga, Miren Idoia, Campos Prieto, Juan Antonio, Čarni, Andraž, Cerabolini, Bruno E. L., Chytrý, Milan, Ćušterevska, Renata, Dengler, Jürgen, De Sanctis, Michele, Dziuba, Tetiana, Fagúndez, Jaime, Field, Richard, Golub, Valentin, He, Tianhua, Jansen, Florian, Lenoir, Jonathan, Marcenò, Corrado, Martín Forés, Irene, Moeslund, Jesper Erenskjold, Moretti, Marco, Niinemets, Ü., Peñuelas, J., Pérez Haase, Aarón, Vandvik, Vigdis, Vassilev, Kiril, Vynokurov, Denys, Bruelheide, Helge, Biología vegetal y ecología, Landaren biologia eta ekologia, Sporbert, Maria, Welk, Erik, Seidler, Gunnar, Jandt, Ute, Aćić, Svetlana, Biurrun Galarraga, Miren Idoia, Campos Prieto, Juan Antonio, Čarni, Andraž, Cerabolini, Bruno E. L., Chytrý, Milan, Ćušterevska, Renata, Dengler, Jürgen, De Sanctis, Michele, Dziuba, Tetiana, Fagúndez, Jaime, Field, Richard, Golub, Valentin, He, Tianhua, Jansen, Florian, Lenoir, Jonathan, Marcenò, Corrado, Martín Forés, Irene, Moeslund, Jesper Erenskjold, Moretti, Marco, Niinemets, Ü., Peñuelas, J., Pérez Haase, Aarón, Vandvik, Vigdis, Vassilev, Kiril, Vynokurov, Denys, and Bruelheide, Helge
Abstract: Aim Plant functional traits summarize the main variability in plant form and function across taxa and biomes. We assess whether geographic range size, climatic niche size, and local abundance of plants can be predicted by sets of traits (trait syndromes) or are driven by single traits. Location Eurasia. Methods Species distribution maps were extracted from the Chorological Database Halle to derive information on the geographic range size and climatic niche size for 456 herbaceous, dwarf shrub and shrub species. We estimated local species abundances based on 740,113 vegetation plots from the European Vegetation Archive, where abundances were available as plant species cover per plot. We compiled a complete species-by-trait matrix of 20 plant functional traits from trait databases (TRY, BiolFlor and CLO-PLA). The relationships of species' geographic range size, climatic niche size and local abundance with single traits and trait syndromes were tested with multiple linear regression models. Results Generally, traits were more strongly related to local abundances than to broad-scale species distribution patterns in geographic and climatic space (range and niche size), but both were better predicted by trait combinations than by single traits. Local abundance increased with leaf area and specific leaf area (SLA). Geographic range size and climatic niche size both increased with SLA. While range size increased with plant height, niche size decreased with leaf carbon content. Conclusion Functional traits matter for species' abundance and distribution at both local and broad geographic scale. Local abundances are associated with different combinations of traits as compared to broad-scale distributions, pointing to filtering by different environmental and ecological factors acting at distinct spatial scales. However, traits related to the leaf economics spectrum were important for species' abundance and occurrence at both spatial scales. This finding emphasizes the general i
Published: 2021

22. Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales

Author: Sporbert, Maria, Welk, Erik, Seidler, Gunnar, Jandt, Ute, Aćić, Svetlana, Biurrun, Idoia, Campos, Juan Antonio, Čarni, Andraž, Cerabolini, Bruno Enrico Leone, Chytrý, Milan, Ćušterevska, Renata, Dengler, Jürgen, De Sanctis, Michele, Dziuba, Tetiana, Fagúndez, Jaime, Field, Richard, Golub, Valentin, He, Tianhua, Jansen, Florian, Lenoir, Jonathan, Marcenò, Corrado, Martín-Forés, Irene, Moeslund, Jesper Erenskjold, Moretti, Marco, Niinemets, Ülo, Peñuelas, Josep, Pérez-Haase, Aaron, Vandvik, Vigdis, Vassilev, Kiril, Vynokurov, Denys, Bruelheide, Helge, Sporbert, Maria, Welk, Erik, Seidler, Gunnar, Jandt, Ute, Aćić, Svetlana, Biurrun, Idoia, Campos, Juan Antonio, Čarni, Andraž, Cerabolini, Bruno Enrico Leone, Chytrý, Milan, Ćušterevska, Renata, Dengler, Jürgen, De Sanctis, Michele, Dziuba, Tetiana, Fagúndez, Jaime, Field, Richard, Golub, Valentin, He, Tianhua, Jansen, Florian, Lenoir, Jonathan, Marcenò, Corrado, Martín-Forés, Irene, Moeslund, Jesper Erenskjold, Moretti, Marco, Niinemets, Ülo, Peñuelas, Josep, Pérez-Haase, Aaron, Vandvik, Vigdis, Vassilev, Kiril, Vynokurov, Denys, and Bruelheide, Helge
Abstract: Aim: Plant functional traits summarize the main variability in plant form and function across taxa and biomes. We assess whether geographic range size, climatic niche size, and local abundance of plants can be predicted by sets of traits (trait syndromes) or are driven by single traits. Location: Eurasia. Methods: Species distribution maps were extracted from the Chorological Database Halle to derive information on the geographic range size and climatic niche size for 456 herbaceous, dwarf shrub and shrub species. We estimated local species abundances based on 740,113 vegetation plots from the European Vegetation Archive, where abundances were available as plant species cover per plot. We compiled a complete species-by-trait matrix of 20 plant functional traits from trait databases (TRY, BiolFlor and CLO-PLA). The relationships of species' geographic range size, climatic niche size and local abundance with single traits and trait syndromes were tested with multiple linear regression models. Results: Generally, traits were more strongly related to local abundances than to broad-scale species distribution patterns in geographic and climatic space (range and niche size), but both were better predicted by trait combinations than by single traits. Local abundance increased with leaf area and specific leaf area (SLA). Geographic range size and climatic niche size both increased with SLA. While range size increased with plant height, niche size decreased with leaf carbon content. Conclusion: Functional traits matter for species' abundance and distribution at both local and broad geographic scale. Local abundances are associated with different combinations of traits as compared to broad-scale distributions, pointing to filtering by different environmental and ecological factors acting at distinct spatial scales. However, traits related to the leaf economics spectrum were important for species' abundance and occurrence at both spatial scales. This finding emphasizes the gene
Published: 2021

23. Dimensions of invasiveness : links between local abundance, geographic range size, and habitat breadth in Europe’s alien and native floras

Author: Fristoe, Trevor S., Chytrý, Milan, Dawson, Wayne, Essl, Franz, Heleno, Ruben, Kreft, Holger, Maurel, Noëlie, Pergl, Jan, Pyšek, Petr, Seebens, Hanno, Weigelt, Patrick, Vargas, Pablo, Yang, Qiang, Attorre, Fabio, Bergmeier, Erwin, Bernhardt-Römermann, Markus, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Botta-Dukát, Zoltán, Bruun, Hans Henrik, Byun, Chaeho, Čarni, Andraž, Carranza, Maria Laura, Catford, Jane A., Cerabolini, Bruno E. L., Chacón-Madrigal, Eduardo, Ciccarelli, Daniela, Ćušterevska, Renata, de Ronde, Iris, Dengler, Jürgen, Golub, Valentin, Haveman, Rense, Hough-Snee, Nate, Jandt, Ute, Jansen, Florian, Kuzemko, Anna, Küzmič, Filip, Lenoir, Jonathan, Macanović, Armin, Marcenò, Corrado, Martin, Adam R., Michaletz, Sean T., Mori, Akira S., Niinemets, Ülo, Peterka, Tomáš, Pielech, Remigiusz, Rašomavičius, Valerijus, Rūsiņa, Solvita, Dias, Arildo S., Šibíková, Mária, Šilc, Urban, Stanisci, Angela, Jansen, Steven, Svenning, Jens-Christian, Swacha, Grzegorz, van der Plas, Fons, Vassilev, Kiril, van Kleunen, Mark, Fristoe, Trevor S., Chytrý, Milan, Dawson, Wayne, Essl, Franz, Heleno, Ruben, Kreft, Holger, Maurel, Noëlie, Pergl, Jan, Pyšek, Petr, Seebens, Hanno, Weigelt, Patrick, Vargas, Pablo, Yang, Qiang, Attorre, Fabio, Bergmeier, Erwin, Bernhardt-Römermann, Markus, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Botta-Dukát, Zoltán, Bruun, Hans Henrik, Byun, Chaeho, Čarni, Andraž, Carranza, Maria Laura, Catford, Jane A., Cerabolini, Bruno E. L., Chacón-Madrigal, Eduardo, Ciccarelli, Daniela, Ćušterevska, Renata, de Ronde, Iris, Dengler, Jürgen, Golub, Valentin, Haveman, Rense, Hough-Snee, Nate, Jandt, Ute, Jansen, Florian, Kuzemko, Anna, Küzmič, Filip, Lenoir, Jonathan, Macanović, Armin, Marcenò, Corrado, Martin, Adam R., Michaletz, Sean T., Mori, Akira S., Niinemets, Ülo, Peterka, Tomáš, Pielech, Remigiusz, Rašomavičius, Valerijus, Rūsiņa, Solvita, Dias, Arildo S., Šibíková, Mária, Šilc, Urban, Stanisci, Angela, Jansen, Steven, Svenning, Jens-Christian, Swacha, Grzegorz, van der Plas, Fons, Vassilev, Kiril, and van Kleunen, Mark
Abstract: Understanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have yet to be assessed at large geographic scales. Here, we combine data from over one million vegetation plots covering the extent of Europe and its habitat diversity with databases on species' distributions, traits, and historical origins to provide a comprehensive assessment of invasiveness dimensions for the European alien seed plant flora. Invasiveness dimensions are linked in alien distributions, leading to a continuum from overall poor invaders to super invaders-abundant, widespread aliens that invade diverse habitats. This pattern echoes relationships among analogous dimensions measured for native European species. Success along invasiveness dimensions was associated with details of alien species' introduction histories: earlier introduction dates were positively associated with all three dimensions, and consistent with theory-based expectations, species originating from other continents, particularly acquisitive growth strategists, were among the most successful invaders in Europe. Despite general correlations among invasiveness dimensions, we identified habitats and traits associated with atypical patterns of success in only one or two dimensions-for example, the role of disturbed habitats in facilitating widespread specialists. We conclude that considering invasiveness within a multidimensional framework can provide insights into invasion processes while also informing general understanding of the dynamics of species distributions.
Published: 2021

24. Mapping species richness of plant families in European vegetation

Author: Večeřa, Martin, Axmanová, Irena, Padullés Cubino, Josep, Lososová, Zdeňka, Divíšek, Jan, Knollová, Ilona, Aćić, Svetlana, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Campos, Juan Antonio, Čarni, Andraž, Carranza, Maria Laura, Casella, Laura, Chiarucci, Alessandro, Ćušterevska, Renata, Delbosc, Pauline, Dengler, Jürgen, Fernández‐González, Federico, Gégout, Jean‐Claude, Jandt, Ute, Jansen, Florian, Jašková, Anni, Jiménez‐Alfaro, Borja, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Moeslund, Jesper Erenskjold, Pielech, Remigiusz, Ruprecht, Eszter, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Swacha, Grzegorz, Tatarenko, Irina, Vassilev, Kiril, Wohlgemuth, Thomas, Yamalov, Sergey, Chytrý, Milan, Večeřa, Martin, Axmanová, Irena, Padullés Cubino, Josep, Lososová, Zdeňka, Divíšek, Jan, Knollová, Ilona, Aćić, Svetlana, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Campos, Juan Antonio, Čarni, Andraž, Carranza, Maria Laura, Casella, Laura, Chiarucci, Alessandro, Ćušterevska, Renata, Delbosc, Pauline, Dengler, Jürgen, Fernández‐González, Federico, Gégout, Jean‐Claude, Jandt, Ute, Jansen, Florian, Jašková, Anni, Jiménez‐Alfaro, Borja, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Moeslund, Jesper Erenskjold, Pielech, Remigiusz, Ruprecht, Eszter, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Swacha, Grzegorz, Tatarenko, Irina, Vassilev, Kiril, Wohlgemuth, Thomas, Yamalov, Sergey, and Chytrý, Milan
Abstract: Aims: 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.
Published: 2021

25. Climate and socio‐economic factors explain differences between observed and expected naturalization patterns of European plants around the world

Author: Pouteau, Robin, Thuiller, Wilfried, Hobohm, Carsten, Brunel, Caroline, Conn, Barry J., Dawson, Wayne, Sá Dechoum, Michele, Ebel, Aleksandr L., Essl, Franz, Fragman‐Sapir, Ori, Fristoe, Trevor, Jogan, Nejc, Kreft, Holger, Lenzner, Bernd, Meyer, Carsten, Pergl, Jan, Pyšek, Petr, Verkhozina, Alla, Weigelt, Patrick, Yang, Qiang, Zykova, Elena, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergamini, Ariel, Berg, Christian, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Botta‐Dukát, Zoltán, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Carranza, Maria Laura, Chytrý, Milan, Ćušterevska, Renata, De Sanctis, Michele, Dengler, Jürgen, Dimopoulos, Panayotis, Ejrnæs, Rasmus, Ewald, Jörg, Fanelli, Giuliano, Fernández‐González, Federico, Gavilán, Rosario G., Gegout, Jean‐Claude, Haveman, Rense, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kavgacı, Ali, Khanina, Larisa, Knollová, Ilona, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Marcenò, Corrado, Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Pätsch, Ricarda, Pielech, Remigiusz, Rašomavičius, Valerijus, de Ronde, Iris, Ruprecht, Eszter, Rūsiņa, Solvita, Shirokikh, Pavel, Šibík, Jozef, Šilc, Urban, Stanisci, Angela, Stančić, Zvjezdana, Svenning, Jens‐Christian, Swacha, Grzegorz, Dan Turtureanu, Pavel, Valachovič, Milan, Vassilev, Kiril, Yamalov, Sergey, van Kleunen, Mark, Pouteau, Robin, Thuiller, Wilfried, Hobohm, Carsten, Brunel, Caroline, Conn, Barry J., Dawson, Wayne, Sá Dechoum, Michele, Ebel, Aleksandr L., Essl, Franz, Fragman‐Sapir, Ori, Fristoe, Trevor, Jogan, Nejc, Kreft, Holger, Lenzner, Bernd, Meyer, Carsten, Pergl, Jan, Pyšek, Petr, Verkhozina, Alla, Weigelt, Patrick, Yang, Qiang, Zykova, Elena, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergamini, Ariel, Berg, Christian, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Botta‐Dukát, Zoltán, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Carranza, Maria Laura, Chytrý, Milan, Ćušterevska, Renata, De Sanctis, Michele, Dengler, Jürgen, Dimopoulos, Panayotis, Ejrnæs, Rasmus, Ewald, Jörg, Fanelli, Giuliano, Fernández‐González, Federico, Gavilán, Rosario G., Gegout, Jean‐Claude, Haveman, Rense, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kavgacı, Ali, Khanina, Larisa, Knollová, Ilona, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Marcenò, Corrado, Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Pätsch, Ricarda, Pielech, Remigiusz, Rašomavičius, Valerijus, de Ronde, Iris, Ruprecht, Eszter, Rūsiņa, Solvita, Shirokikh, Pavel, Šibík, Jozef, Šilc, Urban, Stanisci, Angela, Stančić, Zvjezdana, Svenning, Jens‐Christian, Swacha, Grzegorz, Dan Turtureanu, Pavel, Valachovič, Milan, Vassilev, Kiril, Yamalov, Sergey, and van Kleunen, Mark
Abstract: Aim: The number of naturalized (i.e. established) alien species has increased rapidly over recent centuries. Given the differences in environmental tolerances among species, little is known about what factors determine the extent to which the observed size of the naturalized range of a species and hence the extent to which the observed richness of naturalized species of a region approach their full potential. Here, we asked which region-and species-specific characteristics explain differences between observed and expected naturalizations. Location: Global. Time period: Present. Major taxa studied: Vascular plants. Methods: We determined the observed naturalized distribution outside Europe for 1,485 species endemic to Europe using the Global Naturalized Alien Flora (GloNAF) database and their expected distributions outside Europe using species distribution models. First, we investigated which of seven socio-economic factors related to introduction pathways, anthropogenic pressures and inventory effort best explained the differences between observed and expected naturalized European floras. Second, we examined whether distributional features, economic use and functional traits explain the extent to which species have filled their expected ranges outside Europe. Results: In terms of suitable area, more than 95% of expected naturalizations of European plants were not yet observed. Species were naturalized in only 4.2% of their suitable regions outside of Europe (range filling) and in 0.4% of their unsuitable regions (range expansion). Anthropogenic habitat disturbance primarily explained the difference between observed and expected naturalized European floras, as did the number of treaties relevant to invasive species. Species of ornamental and economic value and with large specific leaf area performed better at filling and expanding beyond their expected range. Main conclusions: The naturalization of alien plant species is explained by climate matching but also by the
Published: 2021

26. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Author: Sabatini, Francesco Maria, Lenoir, Jonathan, Hattab, Tarek, Arnst, Elise Aimee, Chytrý, Milan, Dengler, Jürgen, De Ruffray, Patrice, Hennekens, Stephan M., Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kattge, Jens, Levesley, Aurora, Pillar, Valério D., Purschke, Olivier, Sandel, Brody, Sultana, Fahmida, Aavik, Tsipe, Aćić, Svetlana, Acosta, Alicia T.R., Agrillo, Emiliano, Alvarez, Miguel, Apostolova, Iva, Arfin Khan, Mohammed A. S., Arroyo, Luzmila, Attorre, Fabio, Aubin, Isabelle, Banerjee, Arindam, Bauters, Marijn, Bergeron, Yves, Bergmeier, Erwin, Biurrun, Idoia, Bjorkman, Anne D., Bonari, Gianmaria, Bondareva, Viktoria, Brunet, Jörg, Carni, Andraz, Casella, Laura, Cayuela, Luis, Cerný, Tomás, Chepinoga, Victor, Csiky, János, Ćušterevska, Renata, De Bie, Els, De Gasper, André Luis, De Sanctis, Michele, Dimopoulos, Panayotis, Dolezal, Jiri, Dziuba, Tetiana, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, Enquist, Brian, Ewald, Jörg, Fazayeli, Farideh, Field, Richard, Finckh, Manfred, Gachet, Sophie, Galán‐de‐Mera, Antonio, Garbolino, Emmanuel, Gholizadeh, Hamid, Giorgis, Melisa, Golub, Valentin, Alsos, Inger Greve, Grytnes, John-Arvid, Guerin, Gregory Richard, Gutiérrez, Alvaro G., Haider, Sylvia, Hatim, Mohamed Z., Herault, Bruno, et al., Sabatini, Francesco Maria, Lenoir, Jonathan, Hattab, Tarek, Arnst, Elise Aimee, Chytrý, Milan, Dengler, Jürgen, De Ruffray, Patrice, Hennekens, Stephan M., Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kattge, Jens, Levesley, Aurora, Pillar, Valério D., Purschke, Olivier, Sandel, Brody, Sultana, Fahmida, Aavik, Tsipe, Aćić, Svetlana, Acosta, Alicia T.R., Agrillo, Emiliano, Alvarez, Miguel, Apostolova, Iva, Arfin Khan, Mohammed A. S., Arroyo, Luzmila, Attorre, Fabio, Aubin, Isabelle, Banerjee, Arindam, Bauters, Marijn, Bergeron, Yves, Bergmeier, Erwin, Biurrun, Idoia, Bjorkman, Anne D., Bonari, Gianmaria, Bondareva, Viktoria, Brunet, Jörg, Carni, Andraz, Casella, Laura, Cayuela, Luis, Cerný, Tomás, Chepinoga, Victor, Csiky, János, Ćušterevska, Renata, De Bie, Els, De Gasper, André Luis, De Sanctis, Michele, Dimopoulos, Panayotis, Dolezal, Jiri, Dziuba, Tetiana, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, Enquist, Brian, Ewald, Jörg, Fazayeli, Farideh, Field, Richard, Finckh, Manfred, Gachet, Sophie, Galán‐de‐Mera, Antonio, Garbolino, Emmanuel, Gholizadeh, Hamid, Giorgis, Melisa, Golub, Valentin, Alsos, Inger Greve, Grytnes, John-Arvid, Guerin, Gregory Richard, Gutiérrez, Alvaro G., Haider, Sylvia, Hatim, Mohamed Z., Herault, Bruno, and et al.
Abstract: Motivation: Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called 'sPlot', compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain Global, 0.01–40,000 m². Time period and grain: 1888–2015, recording dates. Major taxa and level of measurement: 42,677
Published: 2021

27. Root traits explain plant species distributions along climatic gradients yet challenge the nature of ecological trade-offs

Author: Laughlin, Daniel C., Mommer, Liesje, Sabatini, Francesco Maria, Bruelheide, Helge, Kuyper, Thom W., McCormack, M. Luke, Bergmann, Joana, Freschet, Grégoire T., Guerrero-Ramírez, Nathaly R., Iversen, Colleen M., Kattge, Jens, Meier, Ina C., Poorter, Hendrik, Roumet, Catherine, Semchenko, Marina, Sweeney, Christopher J., Valverde-Barrantes, Oscar J., van der Plas, Fons, van Ruijven, Jasper, York, Larry M., Aubin, Isabelle, Burge, Olivia R., Byun, Chaeho, Ćušterevska, Renata, Dengler, Jürgen, Forey, Estelle, Guerin, Greg R., Hérault, Bruno, Jackson, Robert B., Karger, Dirk Nikolaus, Lenoir, Jonathan, Lysenko, Tatiana, Meir, Patrick, Niinemets, Ülo, Ozinga, Wim A., Peñuelas, Josep, Reich, Peter B., Schmidt, Marco, Schrodt, Franziska, Velázquez, Eduardo, Weigelt, Alexandra, Laughlin, Daniel C., Mommer, Liesje, Sabatini, Francesco Maria, Bruelheide, Helge, Kuyper, Thom W., McCormack, M. Luke, Bergmann, Joana, Freschet, Grégoire T., Guerrero-Ramírez, Nathaly R., Iversen, Colleen M., Kattge, Jens, Meier, Ina C., Poorter, Hendrik, Roumet, Catherine, Semchenko, Marina, Sweeney, Christopher J., Valverde-Barrantes, Oscar J., van der Plas, Fons, van Ruijven, Jasper, York, Larry M., Aubin, Isabelle, Burge, Olivia R., Byun, Chaeho, Ćušterevska, Renata, Dengler, Jürgen, Forey, Estelle, Guerin, Greg R., Hérault, Bruno, Jackson, Robert B., Karger, Dirk Nikolaus, Lenoir, Jonathan, Lysenko, Tatiana, Meir, Patrick, Niinemets, Ülo, Ozinga, Wim A., Peñuelas, Josep, Reich, Peter B., Schmidt, Marco, Schrodt, Franziska, Velázquez, Eduardo, and Weigelt, Alexandra
Abstract: Ecological theory is built on trade-offs, where trait differences among species evolved as adaptations to different environments. Trade-offs are often assumed to be bidirectional, where opposite ends of a gradient in trait values confer advantages in different environments. However, unidirectional benefits could be widespread if extreme trait values confer advantages at one end of an environmental gradient, whereas a wide range of trait values are equally beneficial at the other end. Here, we show that root traits explain species occurrences along broad gradients of temperature and water availability, but model predictions only resembled trade-offs in two out of 24 models. Forest species with low specific root length and high root tissue density (RTD) were more likely to occur in warm climates but species with high specific root length and low RTD were more likely to occur in cold climates. Unidirectional benefits were more prevalent than trade-offs: for example, species with large-diameter roots and high RTD were more commonly associated with dry climates, but species with the opposite trait values were not associated with wet climates. Directional selection for traits consistently occurred in cold or dry climates, whereas a diversity of root trait values were equally viable in warm or wet climates. Explicit integration of unidirectional benefits into ecological theory is needed to advance our understanding of the consequences of trait variation on species responses to environmental change.
Published: 2021

28. Mapping species richness of plant families in European vegetation

Author: Czech Science Foundation, Eusko Jaurlaritza, Slovenian Research Agency, National Research Foundation of Ukraine, National Science Foundation (US), Večeřa, Martin, Axmanová, Irena, Padullés Cubino, Josep, Lososová, Zdeňka, Divíšek, Jan, Knollová, Ilona, Aćić, Svetlana, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Campos, Juan Antonio, Čarni, Andraž, Carranza, María Laura, Casella, Laura A., Chiarucci, Alessandro, Ćušterevska, Renata, Delbosc, Pauline, Dengler, Jürgen, Fernández-González, Federico, Gégout, Jean-Claude, Jandt, Ute, Jansen, Florian, Jašková, Anni, Jiménez Alfaro, Borja, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Moeslund, J.E., Pielech, Remigiusz, Ruprecht, Eszter, Šibik, Jozef, Šilc, Urban, Škvorc, Željko, Swacha, Grzegorz, Tatarenko, Irina, Vassilev, Kiril, Wohlgemuth, T., Yamalov, S., Chytrý, Milan, Czech Science Foundation, Eusko Jaurlaritza, Slovenian Research Agency, National Research Foundation of Ukraine, National Science Foundation (US), Večeřa, Martin, Axmanová, Irena, Padullés Cubino, Josep, Lososová, Zdeňka, Divíšek, Jan, Knollová, Ilona, Aćić, Svetlana, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Campos, Juan Antonio, Čarni, Andraž, Carranza, María Laura, Casella, Laura A., Chiarucci, Alessandro, Ćušterevska, Renata, Delbosc, Pauline, Dengler, Jürgen, Fernández-González, Federico, Gégout, Jean-Claude, Jandt, Ute, Jansen, Florian, Jašková, Anni, Jiménez Alfaro, Borja, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Moeslund, J.E., Pielech, Remigiusz, Ruprecht, Eszter, Šibik, Jozef, Šilc, Urban, Škvorc, Željko, Swacha, Grzegorz, Tatarenko, Irina, Vassilev, Kiril, Wohlgemuth, T., Yamalov, S., and Chytrý, Milan
Abstract: Aims: 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.
Published: 2021

29. ConservePlants: An integrated approach to conservation of threatened plants for the 21st Century

Author: Fišer, Živa, Aronne, Giovanna, Aavik, Tsipe, Akin, Meleksen, Alizoti, Paraskevi, Aravanopoulos, Filippos, Bacchetta, Gianluigi, Balant, Manica, Ballian, Dalibor, Barazani, Oz, Bellia, Andrea Francesca, Bernhardt, Nadine, Kharrat, Magda Bou Dagher, Bugeja Douglas, Adrian, Burkart, Michael, Ćalić, Dušica, Carapeto, André, Carlsen, Tor, Castro, Sílvia, Colling, Guy, Cursach, Joana, Cvetanoska, Sara, Cvetanka, Cvetkoska, Ćušterevska, Renata, Daco, Laura, Danova, Danova, Dervishi, Aida, Djukanović, Gordana, Dragićević, Snežana, Ensslin, Andreas, Evju, Marianne, Fenu, Giuseppe, Francisco, Ana, Gallego, Pedro Pablo, Galloni, Marta, Ganea, Anatolie, Gemeinholzer, Birgit, Glasnović, Peter, Godefroid, Sandrine, Goul Thomsen, Mette, Halassy, Melinda, Helm, Aveliina, Hyvärinen, Marko, Joshi, Jasmin, Amra, Kazić, Kiehn, Michael, Klisz, Marcin, Kool, Anneleen, Koprowski, Marcin, Kövendi-Jakó, Anna, Kříž, Karel, Kropf, Matthias, Kull, Tiiu, Lanfranco, Sandro, Lazarević, Predrag, Lazarević, Maja, Vine, Merav Lebel, Liepina, Ligita, Loureiro, João, Lukminė, Diana, Machon, Nathalie, Meade, Conor, Milanović, Đorđije, Navarro, Luis, Orlović, Saša, Panis, Bart, Hana, Pankova, Parpan, Taras, Pašek, Ondřej, Peci, Dhimiter, Petanidou, Theodora, Plenk, Kristina, Puchałka, Radosław, Radosavljević, Ivan, Rankou, Hassan, Rašomavičius, Valerijus, Romanciuc, Gabriela, Ruotsalainen, Anna, Šajna, Nina, Salaj, Terezia, Sánchez-Romero, Carolina, Sarginci, Murat, Deborah, Schäfer, Seberg, Ole, Sharrock, Suzanne, Šibík, Jozef, Šibíková, Mária, Skarpaas, Olav, Stanković Neđić, Milena, Stojnic, Srdjan, Surina, Boštjan, Szitár, Katalin, Teofilovski, Aco, Thoroddsen, Rannveig, Tsvetkov, Ivaylo, Uogintas, Domas, Van Meerbeek, Koenraad, van Rooijen, N.M., Vassiliou, Loukia, Verbylaitė, Rita, Vergeer, Philippine, Vít, Petr, Walczak, Margareta, Widmer, Alex, Wiland-Szymańska, Justyna, Zdunić, Goran, Zippel, Elke, Fišer, Živa, Aronne, Giovanna, Aavik, Tsipe, Akin, Meleksen, Alizoti, Paraskevi, Aravanopoulos, Filippos, Bacchetta, Gianluigi, Balant, Manica, Ballian, Dalibor, Barazani, Oz, Bellia, Andrea Francesca, Bernhardt, Nadine, Kharrat, Magda Bou Dagher, Bugeja Douglas, Adrian, Burkart, Michael, Ćalić, Dušica, Carapeto, André, Carlsen, Tor, Castro, Sílvia, Colling, Guy, Cursach, Joana, Cvetanoska, Sara, Cvetanka, Cvetkoska, Ćušterevska, Renata, Daco, Laura, Danova, Danova, Dervishi, Aida, Djukanović, Gordana, Dragićević, Snežana, Ensslin, Andreas, Evju, Marianne, Fenu, Giuseppe, Francisco, Ana, Gallego, Pedro Pablo, Galloni, Marta, Ganea, Anatolie, Gemeinholzer, Birgit, Glasnović, Peter, Godefroid, Sandrine, Goul Thomsen, Mette, Halassy, Melinda, Helm, Aveliina, Hyvärinen, Marko, Joshi, Jasmin, Amra, Kazić, Kiehn, Michael, Klisz, Marcin, Kool, Anneleen, Koprowski, Marcin, Kövendi-Jakó, Anna, Kříž, Karel, Kropf, Matthias, Kull, Tiiu, Lanfranco, Sandro, Lazarević, Predrag, Lazarević, Maja, Vine, Merav Lebel, Liepina, Ligita, Loureiro, João, Lukminė, Diana, Machon, Nathalie, Meade, Conor, Milanović, Đorđije, Navarro, Luis, Orlović, Saša, Panis, Bart, Hana, Pankova, Parpan, Taras, Pašek, Ondřej, Peci, Dhimiter, Petanidou, Theodora, Plenk, Kristina, Puchałka, Radosław, Radosavljević, Ivan, Rankou, Hassan, Rašomavičius, Valerijus, Romanciuc, Gabriela, Ruotsalainen, Anna, Šajna, Nina, Salaj, Terezia, Sánchez-Romero, Carolina, Sarginci, Murat, Deborah, Schäfer, Seberg, Ole, Sharrock, Suzanne, Šibík, Jozef, Šibíková, Mária, Skarpaas, Olav, Stanković Neđić, Milena, Stojnic, Srdjan, Surina, Boštjan, Szitár, Katalin, Teofilovski, Aco, Thoroddsen, Rannveig, Tsvetkov, Ivaylo, Uogintas, Domas, Van Meerbeek, Koenraad, van Rooijen, N.M., Vassiliou, Loukia, Verbylaitė, Rita, Vergeer, Philippine, Vít, Petr, Walczak, Margareta, Widmer, Alex, Wiland-Szymańska, Justyna, Zdunić, Goran, and Zippel, Elke
Abstract: [eng] Even though plants represent an essential part of our lives offering exploitational, supporting and cultural services, we know very little about the biology of the rarest and most threatened plant species, and even less about their conservation status. Rapid changes in the environment and climate, today more pronounced than ever, affect their fitness and distribution causing rapid species declines, sometimes even before they had been discovered. Despite the high goals set by conservationists to protect native plants from further degradation and extinction, the initiatives for the conservation of threatened species in Europe are scattered and have not yielded the desired results. The main aim of this Action is to improve plant conservation in Europe through the establishment of a network of scientists and other stakeholders who deal with different aspects of plant conservation, from plant taxonomy, ecology, conservation genetics, conservation physiology and reproductive biology to protected area's managers, not forgetting social scientists, who are crucial when dealing with the general public.
Published: 2021

30. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Author: Sabatini, Francesco Maria, primary, Lenoir, Jonathan, additional, Hattab, Tarek, additional, Arnst, Elise Aimee, additional, Chytrý, Milan, additional, Dengler, Jürgen, additional, De Ruffray, Patrice, additional, Hennekens, Stephan M., additional, Jandt, Ute, additional, Jansen, Florian, additional, Jiménez‐Alfaro, Borja, additional, Kattge, Jens, additional, Levesley, Aurora, additional, Pillar, Valério D., additional, Purschke, Oliver, additional, Sandel, Brody, additional, Sultana, Fahmida, additional, Aavik, Tsipe, additional, Aćić, Svetlana, additional, Acosta, Alicia T. R., additional, Agrillo, Emiliano, additional, Alvarez, Miguel, additional, Apostolova, Iva, additional, Arfin Khan, Mohammed A. S., additional, Arroyo, Luzmila, additional, Attorre, Fabio, additional, Aubin, Isabelle, additional, Banerjee, Arindam, additional, Bauters, Marijn, additional, Bergeron, Yves, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Bjorkman, Anne D., additional, Bonari, Gianmaria, additional, Bondareva, Viktoria, additional, Brunet, Jörg, additional, Čarni, Andraž, additional, Casella, Laura, additional, Cayuela, Luis, additional, Černý, Tomáš, additional, Chepinoga, Victor, additional, Csiky, János, additional, Ćušterevska, Renata, additional, De Bie, Els, additional, Gasper, André Luis, additional, De Sanctis, Michele, additional, Dimopoulos, Panayotis, additional, Dolezal, Jiri, additional, Dziuba, Tetiana, additional, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, additional, Enquist, Brian, additional, Ewald, Jörg, additional, Fazayeli, Farideh, additional, Field, Richard, additional, Finckh, Manfred, additional, Gachet, Sophie, additional, Galán‐de‐Mera, Antonio, additional, Garbolino, Emmanuel, additional, Gholizadeh, Hamid, additional, Giorgis, Melisa, additional, Golub, Valentin, additional, Alsos, Inger Greve, additional, Grytnes, John‐Arvid, additional, Guerin, Gregory Richard, additional, Gutiérrez, Alvaro G., additional, Haider, Sylvia, additional, Hatim, Mohamed Z., additional, Hérault, Bruno, additional, Hinojos Mendoza, Guillermo, additional, Hölzel, Norbert, additional, Homeier, Jürgen, additional, Hubau, Wannes, additional, Indreica, Adrian, additional, Janssen, John A. M., additional, Jedrzejek, Birgit, additional, Jentsch, Anke, additional, Jürgens, Norbert, additional, Kącki, Zygmunt, additional, Kapfer, Jutta, additional, Karger, Dirk Nikolaus, additional, Kavgacı, Ali, additional, Kearsley, Elizabeth, additional, Kessler, Michael, additional, Khanina, Larisa, additional, Killeen, Timothy, additional, Korolyuk, Andrey, additional, Kreft, Holger, additional, Kühl, Hjalmar S., additional, Kuzemko, Anna, additional, Landucci, Flavia, additional, Lengyel, Attila, additional, Lens, Frederic, additional, Lingner, Débora Vanessa, additional, Liu, Hongyan, additional, Lysenko, Tatiana, additional, Mahecha, Miguel D., additional, Marcenò, Corrado, additional, Martynenko, Vasiliy, additional, Moeslund, Jesper Erenskjold, additional, Monteagudo Mendoza, Abel, additional, Mucina, Ladislav, additional, Müller, Jonas V., additional, Munzinger, Jérôme, additional, Naqinezhad, Alireza, additional, Noroozi, Jalil, additional, Nowak, Arkadiusz, additional, Onyshchenko, Viktor, additional, Overbeck, Gerhard E., additional, Pärtel, Meelis, additional, Pauchard, Aníbal, additional, Peet, Robert K., additional, Peñuelas, Josep, additional, Pérez‐Haase, Aaron, additional, Peterka, Tomáš, additional, Petřík, Petr, additional, Peyre, Gwendolyn, additional, Phillips, Oliver L., additional, Prokhorov, Vadim, additional, Rašomavičius, Valerijus, additional, Revermann, Rasmus, additional, Rivas‐Torres, Gonzalo, additional, Rodwell, John S., additional, Ruprecht, Eszter, additional, Rūsiņa, Solvita, additional, Samimi, Cyrus, additional, Schmidt, Marco, additional, Schrodt, Franziska, additional, Shan, Hanhuai, additional, Shirokikh, Pavel, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Sklenář, Petr, additional, Škvorc, Željko, additional, Sparrow, Ben, additional, Sperandii, Marta Gaia, additional, Stančić, Zvjezdana, additional, Svenning, Jens‐Christian, additional, Tang, Zhiyao, additional, Tang, Cindy Q., additional, Tsiripidis, Ioannis, additional, Vanselow, Kim André, additional, Vásquez Martínez, Rodolfo, additional, Vassilev, Kiril, additional, Vélez‐Martin, Eduardo, additional, Venanzoni, Roberto, additional, Vibrans, Alexander Christian, additional, Violle, Cyrille, additional, Virtanen, Risto, additional, Wehrden, Henrik, additional, Wagner, Viktoria, additional, Walker, Donald A., additional, Waller, Donald M., additional, Wang, Hua‐Feng, additional, Wesche, Karsten, additional, Whitfeld, Timothy J. S., additional, Willner, Wolfgang, additional, Wiser, Susan K., additional, Wohlgemuth, Thomas, additional, Yamalov, Sergey, additional, Zobel, Martin, additional, Bruelheide, Helge, additional, and Bates, Amanda, additional
Published: 2021
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31. Climate and socio‐economic factors explain differences between observed and expected naturalization patterns of European plants around the world

Author: Pouteau, Robin, primary, Thuiller, Wilfried, additional, Hobohm, Carsten, additional, Brunel, Caroline, additional, Conn, Barry J., additional, Dawson, Wayne, additional, Sá Dechoum, Michele, additional, Ebel, Aleksandr L., additional, Essl, Franz, additional, Fragman‐Sapir, Ori, additional, Fristoe, Trevor, additional, Jogan, Nejc, additional, Kreft, Holger, additional, Lenzner, Bernd, additional, Meyer, Carsten, additional, Pergl, Jan, additional, Pyšek, Petr, additional, Verkhozina, Alla, additional, Weigelt, Patrick, additional, Yang, Qiang, additional, Zykova, Elena, additional, Aćić, Svetlana, additional, Agrillo, Emiliano, additional, Attorre, Fabio, additional, Bergamini, Ariel, additional, Berg, Christian, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Boch, Steffen, additional, Bonari, Gianmaria, additional, Botta‐Dukát, Zoltán, additional, Bruelheide, Helge, additional, Campos, Juan Antonio, additional, Čarni, Andraž, additional, Casella, Laura, additional, Carranza, Maria Laura, additional, Chytrý, Milan, additional, Ćušterevska, Renata, additional, De Sanctis, Michele, additional, Dengler, Jürgen, additional, Dimopoulos, Panayotis, additional, Ejrnæs, Rasmus, additional, Ewald, Jörg, additional, Fanelli, Giuliano, additional, Fernández‐González, Federico, additional, Gavilán, Rosario G., additional, Gegout, Jean‐Claude, additional, Haveman, Rense, additional, Isermann, Maike, additional, Jandt, Ute, additional, Jansen, Florian, additional, Jiménez‐Alfaro, Borja, additional, Kavgacı, Ali, additional, Khanina, Larisa, additional, Knollová, Ilona, additional, Kuzemko, Anna, additional, Lebedeva, Maria, additional, Lenoir, Jonathan, additional, Lysenko, Tatiana, additional, Marcenò, Corrado, additional, Martynenko, Vasiliy, additional, Moeslund, Jesper Erenskjold, additional, Pätsch, Ricarda, additional, Pielech, Remigiusz, additional, Rašomavičius, Valerijus, additional, Ronde, Iris, additional, Ruprecht, Eszter, additional, Rūsiņa, Solvita, additional, Shirokikh, Pavel, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Stanisci, Angela, additional, Stančić, Zvjezdana, additional, Svenning, Jens‐Christian, additional, Swacha, Grzegorz, additional, Dan Turtureanu, Pavel, additional, Valachovič, Milan, additional, Vassilev, Kiril, additional, Yamalov, Sergey, additional, and Kleunen, Mark, additional
Published: 2021
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32. Dimensions of invasiveness: Links between local abundance, geographic range size, and habitat breadth in Europe’s alien and native floras

Author: Fristoe, Trevor S., primary, Chytrý, Milan, additional, Dawson, Wayne, additional, Essl, Franz, additional, Heleno, Ruben, additional, Kreft, Holger, additional, Maurel, Noëlie, additional, Pergl, Jan, additional, Pyšek, Petr, additional, Seebens, Hanno, additional, Weigelt, Patrick, additional, Vargas, Pablo, additional, Yang, Qiang, additional, Attorre, Fabio, additional, Bergmeier, Erwin, additional, Bernhardt-Römermann, Markus, additional, Biurrun, Idoia, additional, Boch, Steffen, additional, Bonari, Gianmaria, additional, Botta-Dukát, Zoltán, additional, Bruun, Hans Henrik, additional, Byun, Chaeho, additional, Čarni, Andraž, additional, Carranza, Maria Laura, additional, Catford, Jane A., additional, Cerabolini, Bruno E. L., additional, Chacón-Madrigal, Eduardo, additional, Ciccarelli, Daniela, additional, Ćušterevska, Renata, additional, de Ronde, Iris, additional, Dengler, Jürgen, additional, Golub, Valentin, additional, Haveman, Rense, additional, Hough-Snee, Nate, additional, Jandt, Ute, additional, Jansen, Florian, additional, Kuzemko, Anna, additional, Küzmič, Filip, additional, Lenoir, Jonathan, additional, Macanović, Armin, additional, Marcenò, Corrado, additional, Martin, Adam R., additional, Michaletz, Sean T., additional, Mori, Akira S., additional, Niinemets, Ülo, additional, Peterka, Tomáš, additional, Pielech, Remigiusz, additional, Rašomavičius, Valerijus, additional, Rūsiņa, Solvita, additional, Dias, Arildo S., additional, Šibíková, Mária, additional, Šilc, Urban, additional, Stanisci, Angela, additional, Jansen, Steven, additional, Svenning, Jens-Christian, additional, Swacha, Grzegorz, additional, van der Plas, Fons, additional, Vassilev, Kiril, additional, and van Kleunen, Mark, additional
Published: 2021
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33. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

Author: Biología vegetal y ecología, Landaren biologia eta ekologia, Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun Galarraga, Miren Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos Prieto, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Korolyuk, Andrey Yu., Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, Schaminée, Joop H. J., Biología vegetal y ecología, Landaren biologia eta ekologia, Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun Galarraga, Miren Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos Prieto, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Korolyuk, Andrey Yu., Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, and Schaminée, Joop H. J.
Abstract: Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set-theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species-to-habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man-made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electronic expert
Published: 2020

34. Testing macroecological abundance patterns: The relationship between local abundance and range size, range position and climatic suitability among European vascular plants

Author: Biología vegetal y ecología, Landaren biologia eta ekologia, Sporbert, Maria, Keil, Petr, Seidler, Gunnar, Bruelheide, Helge, Jandt, Ute, Aćić, Svetlana, Biurrun Galarraga, Miren Idoia, Campos Prieto, Juan Antonio, Čarni, Andraž, Chytrý, Milan, Ćušterevska, Renata, Dengler, Jürgen, Golub, Valentin, Jansen, Florian, Kuzemko, Ana, Lenoir, Jonathan, Marcenò, Corrado, Erenskjold Moeslund, Jesper, Pérez Haase, Aaron, Rūsiņa, Solvita, Šilc, Urban, Tsiripidris, Ioannis, Vandvik, Vigdis, Vasilev, Kiril, Virtanen, Risto, Welk, Erik, Biología vegetal y ecología, Landaren biologia eta ekologia, Sporbert, Maria, Keil, Petr, Seidler, Gunnar, Bruelheide, Helge, Jandt, Ute, Aćić, Svetlana, Biurrun Galarraga, Miren Idoia, Campos Prieto, Juan Antonio, Čarni, Andraž, Chytrý, Milan, Ćušterevska, Renata, Dengler, Jürgen, Golub, Valentin, Jansen, Florian, Kuzemko, Ana, Lenoir, Jonathan, Marcenò, Corrado, Erenskjold Moeslund, Jesper, Pérez Haase, Aaron, Rūsiņa, Solvita, Šilc, Urban, Tsiripidris, Ioannis, Vandvik, Vigdis, Vasilev, Kiril, Virtanen, Risto, and Welk, Erik
Abstract: Aim A fundamental question in macroecology centres around understanding the relationship between species' local abundance and their distribution in geographical and climatic space (i.e. the multi-dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (a) the abundance-range size relationship, (b) the abundance-range centre relationship and (c) the abundance-suitability relationship. Location Europe. Taxon Vascular plants. Methods Distribution range maps were extracted from the Chorological Database Halle to derive information on the range and niche sizes of 517 European vascular plant species. To estimate local abundance, we assessed samples from 744,513 vegetation plots in the European Vegetation Archive, where local species' abundance is available as plant cover per plot. We then calculated the 'centrality', that is, the distance between the location of the abundance observation and each species' range centre in geographical and climatic space. The climatic suitability of plot locations was estimated using coarse-grain species distribution models (SDMs). The relationships between centrality or climatic suitability with abundance was tested using linear models and quantile regression. We summarized the overall trend across species' regression slopes from linear models and quantile regression using a meta-analytical approach. Results We did not detect any positive relationships between a species' mean local abundance and the size of its geographical range or climatic niche. Contrasting yet significant correlations were detected between abundance and centrality or climatic suitability among species. Main conclusions Our results do not provide unequivocal support for any of the relationships tested, demonstrating that determining properties of species' distributions at large grains and extents might be of limited use for predicting local abundance, including current S
Published: 2020

35. Testing macroecological abundance patterns : the relationship between local abundance and range size, range position and climatic suitability among European vascular plants

Author: Sporbert, Maria, Keil, Petr, Seidler, Gunnar, Bruelheide, Helge, Jandt, Ute, Aćić, Svetlana, Biurrun, Idoia, Campos, Juan Antonio, Čarni, Andraž, Chytrý, Milan, Ćušterevska, Renata, Dengler, Jürgen, Golub, Valentin, Jansen, Florian, Kuzemko, Anna, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Pérez‐Haase, Aaron, Rūsiņa, Solvita, Šilc, Urban, Tsiripidris, Ioannis, Vandvik, Vigdis, Vasilev, Kiril, Virtanen, Risto, Welk, Erik, Sporbert, Maria, Keil, Petr, Seidler, Gunnar, Bruelheide, Helge, Jandt, Ute, Aćić, Svetlana, Biurrun, Idoia, Campos, Juan Antonio, Čarni, Andraž, Chytrý, Milan, Ćušterevska, Renata, Dengler, Jürgen, Golub, Valentin, Jansen, Florian, Kuzemko, Anna, Lenoir, Jonathan, Marcenò, Corrado, Moeslund, Jesper Erenskjold, Pérez‐Haase, Aaron, Rūsiņa, Solvita, Šilc, Urban, Tsiripidris, Ioannis, Vandvik, Vigdis, Vasilev, Kiril, Virtanen, Risto, and Welk, Erik
Abstract: Aim: A fundamental question in macroecology centres around understanding the relationship between species’ local abundance and their distribution in geographical and climatic space (i.e. the multi-dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (a) the abundance–range size relationship, (b) the abundance–range centre relationship and (c) the abundance–suitability relationship. Location: Europe. Taxon: Vascular plants. Methods: Distribution range maps were extracted from the Chorological Database Halle to derive information on the range and niche sizes of 517 European vascular plant species. To estimate local abundance, we assessed samples from 744,513 vegetation plots in the European Vegetation Archive, where local species’ abundance is available as plant cover per plot. We then calculated the ‘centrality’, that is, the distance between the location of the abundance observation and each species’ range centre in geographical and climatic space. The climatic suitability of plot locations was estimated using coarse-grain species distribution models (SDMs). The relationships between centrality or climatic suitability with abundance was tested using linear models and quantile regression. We summarized the overall trend across species’ regression slopes from linear models and quantile regression using a meta-analytical approach. Results: We did not detect any positive relationships between a species’ mean local abundance and the size of its geographical range or climatic niche. Contrasting yet significant correlations were detected between abundance and centrality or climatic suitability among species. Main conclusions: Our results do not provide unequivocal support for any of the relationships tested, demonstrating that determining properties of species’ distributions at large grains and extents might be of limited use for predicting local abundance, including cur
Published: 2020

36. EUNIS Habitat Classification : expert system, characteristic species combinations and distribution maps of European habitats

Author: Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez‐Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean‐Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Yu. Korolyuk, Andrey, Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez‐Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, Schaminée, Joop H. J., Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez‐Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean‐Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Yu. Korolyuk, Andrey, Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez‐Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, and Schaminée, Joop H. J.
Abstract: Aim: The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location: Europe. Methods: We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set-theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species-to-habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results: Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man-made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions: EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electronic ex
Published: 2020

37. EUNIS-ESy: Expert system for automatic classification of European vegetation plots to EUNIS habitats

Author: Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A.M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez-Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Yu. Korolyuk, Andrey, Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez-Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, Schaminée, Joop H.J., Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A.M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez-Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Yu. Korolyuk, Andrey, Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez-Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, and Schaminée, Joop H.J.
Abstract: EUNIS-ESy is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run using the JUICE program (Tichý 2002; https://www.sci.muni.cz/botany/juice/), TURBOVEG 3 program (Hennekens 2015) and an R script (Bruelheide et al. 2021). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification., EUNIS-ESy is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run using the JUICE program (Tichý 2002; https://www.sci.muni.cz/botany/juice/), TURBOVEG 3 program (Hennekens 2015) and an R script (Bruelheide et al. 2021). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification. 1. Expert system and related files necessary to run it 1.1. EUNIS-ESy-2021-06-01.txt – a file containing the script for the classification of vegetation plots by EUNIS-ESy. This version contains tested definitions for the revised classification vegetated Marine (coastal saltmarshes), Coastal, Wetland, Grassland, Shrubland, Forest, Inland sparsely vegetated and Man-made habitats, and preliminary non-tested definitions of the older classification of Marine, Aquatic and Inland sparsely vegetated habitats. 1.2. Nomenclature-translation-from-Turboveg-2-databases.zip – an archive containing the scripts for automatic translation of taxon concepts and names used in individual European Turboveg 2 databases (Hennekens & Schaminée 2001; https://www.synbiosys.alterra.nl/turboveg/) to the nomenclature that can be used as an input for EUNIS-ESy. 1.3. EUNIS-ESy-User-Guide.pdf – a brief user guide to the classification of vegetation plots by EUNIS-ESy using the JUICE program. Please read this guide carefully before running the expert system to avoid misclassifications. 2. Characterization of the EUNIS habitats based on the results of the EUNIS-ESy classification 2.1. EUNIS-habitats-2021-06-01.xlsx – the current list o
Published: 2020

38. Post‐glacial determinants of regional species pools in alpine grasslands

Author: Jiménez‐Alfaro, Borja, primary, Abdulhak, Sylvain, additional, Attorre, Fabio, additional, Bergamini, Ariel, additional, Carranza, Maria Laura, additional, Chiarucci, Alessandro, additional, Ćušterevska, Renata, additional, Dullinger, Stefan, additional, Gavilán, Rosario G., additional, Giusso del Galdo, Gianpietro, additional, Kuzmanović, Nevena, additional, Laiolo, Paola, additional, Loidi, Javier, additional, Malanson, George P., additional, Marcenó, Corrado, additional, Milanović, Đorđije, additional, Pansing, Elizabeth R., additional, Roces‐Díaz, José V., additional, Ruprecht, Eszter, additional, Šibik, Jozef, additional, Stanisci, Angela, additional, Testolin, Riccardo, additional, Theurillat, Jean‐Paul, additional, Vassilev, Kiril, additional, Willner, Wolfgang, additional, and Winkler, Manuela, additional
Published: 2021
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39. ConservePlants: An integrated approach to conservation of threatened plants for the 21st Century

Author: Fišer, Živa, primary, Aronne, Giovanna, additional, Aavik, Tsipe, additional, Akin, Meleksen, additional, Alizoti, Paraskevi, additional, Aravanopoulos, Filippos, additional, Bacchetta, Gianluigi, additional, Balant, Manica, additional, Ballian, Dalibor, additional, Barazani, Oz, additional, Bellia, Andrea Francesca, additional, Bernhardt, Nadine, additional, Bou Dagher Kharrat, Magda, additional, Bugeja Douglas, Adrian, additional, Burkart, Michael, additional, Ćalić, Dušica, additional, Carapeto, André, additional, Carlsen, Tor, additional, Castro, Sílvia, additional, Colling, Guy, additional, Cursach, Joana, additional, Cvetanoska, Sara, additional, Cvetkoska, Cvetanka, additional, Ćušterevska, Renata, additional, Daco, Laura, additional, Danova, Kalina, additional, Dervishi, Aida, additional, Djukanović, Gordana, additional, Dragićević, Snežana, additional, Ensslin, Andreas, additional, Evju, Marianne, additional, Fenu, Giuseppe, additional, Francisco, Ana, additional, Gallego, Pedro Pablo, additional, Galloni, Marta, additional, Ganea, Anatolie, additional, Gemeinholzer, Birgit, additional, Glasnović, Peter, additional, Godefroid, Sandrine, additional, Goul Thomsen, Mette, additional, Halassy, Melinda, additional, Helm, Aveliina, additional, Hyvärinen, Marko, additional, Joshi, Jasmin, additional, Kazić, Amra, additional, Kiehn, Michael, additional, Klisz, Marcin, additional, Kool, Anneleen, additional, Koprowski, Marcin, additional, Kövendi-Jakó, Anna, additional, Kříž, Karel, additional, Kropf, Matthias, additional, Kull, Tiiu, additional, Lanfranco, Sandro, additional, Lazarević, Predrag, additional, Lazarević, Maja, additional, Lebel Vine, Merav, additional, Liepina, Ligita, additional, Loureiro, João, additional, Lukminė, Diana, additional, Machon, Nathalie, additional, Meade, Conor, additional, Metzing, Detlev, additional, Milanović, Đorđije, additional, Navarro, Luis, additional, Orlović, Saša, additional, Panis, Bart, additional, Pankova, Hana, additional, Parpan, Taras, additional, Pašek, Ondřej, additional, Peci, Dhimiter, additional, Petanidou, Theodora, additional, Plenk, Kristina, additional, Puchałka, Radosław, additional, Radosavljević, Ivan, additional, Rankou, Hassan, additional, Rašomavičius, Valerijus, additional, Romanciuc, Gabriela, additional, Ruotsalainen, Anna, additional, Šajna, Nina, additional, Salaj, Terezia, additional, Sánchez-Romero, Carolina, additional, Sarginci, Murat, additional, Schäfer, Deborah, additional, Seberg, Ole, additional, Sharrock, Suzanne, additional, Šibík, Jozef, additional, Šibíková, Mária, additional, Skarpaas, Olav, additional, Stanković Neđić, Milena, additional, Stojnic, Srdjan, additional, Surina, Boštjan, additional, Szitár, Katalin, additional, Teofilovski, Aco, additional, Thoroddsen, Rannveig, additional, Tsvetkov, Ivaylo, additional, Uogintas, Domas, additional, Van Meerbeek, Koenraad, additional, van Rooijen, Nils, additional, Vassiliou, Loukia, additional, Verbylaitė, Rita, additional, Vergeer, Philippine, additional, Vít, Petr, additional, Walczak, Margareta, additional, Widmer, Alex, additional, Wiland-Szymańska, Justyna, additional, Zdunić, Goran, additional, and Zippel, Elke, additional
Published: 2021
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40. Relation between boundaries of protected areas and the distribution of vulnerable natural habitats – a case study from Sharri National Park, SE Europe

Author: Berisha, Naim, primary, Ćušterevska, Renata, additional, Lluga-Rizani, Kimete, additional, Millaku, Fadil, additional, and Matevski, Vlado, additional
Published: 2020
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41. sPlot : a new tool for global vegetation analyses

Author: Bruelheide, Helge, Dengler, Jürgen, Jiménez‐Alfaro, Borja, Purschke, Oliver, Hennekens, Stephan M., Chytrý, Milan, Pillar, Valério D., Jansen, Florian, Kattge, Jens, Sandel, Brody, Aubin, Isabelle, Biurrun, Idoia, Field, Richard, Haider, Sylvia, Jandt, Ute, Lenoir, Jonathan, Peet, Robert K., Peyre, Gwendolyn, Sabatini, Francesco Maria, Schmidt, Marco, Schrodt, Franziska, Winter, Marten, Aćić, Svetlana, Agrillo, Emiliano, Alvarez, Miguel, Ambarlı, Didem, Angelini, Pierangela, Apostolova, Iva, Arfin Khan, Mohammed A. S., Arnst, Elise, Attorre, Fabio, Baraloto, Christopher, Beckmann, Michael, Berg, Christian, Bergeron, Yves, Bergmeier, Erwin, Bjorkman, Anne D., Bondareva, Viktoria, Borchardt, Peter, Botta‐Dukát, Zoltán, Boyle, Brad, Breen, Amy, Brisse, Henry, Byun, Chaeho, Cabido, Marcelo R., Casella, Laura, Cayuela, Luis, Černý, Tomáš, Chepinoga, Victor, Csiky, János, Curran, Michael, Ćušterevska, Renata, Dajić Stevanović, Zora, De Bie, Els, de Ruffray, Patrice, De Sanctis, Michele, Dimopoulos, Panayotis, Dressler, Stefan, Ejrnæs, Rasmus, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, Enquist, Brian, Ewald, Jörg, Fagúndez, Jaime, Finckh, Manfred, Font, Xavier, Forey, Estelle, Fotiadis, Georgios, García‐Mijangos, Itziar, Gasper, André Luis, Golub, Valentin, Gutierrez, Alvaro G., Hatim, Mohamed Z., He, Tianhua, Higuchi, Pedro, Holubová, Dana, Hölzel, Norbert, Homeier, Jürgen, Indreica, Adrian, Işık Gürsoy, Deniz, Jansen, Steven, Janssen, John, Jedrzejek, Birgit, Jiroušek, Martin, Jürgens, Norbert, Kącki, Zygmunt, Kavgacı, Ali, Kearsley, Elizabeth, Kessler, Michael, Knollová, Ilona, Kolomiychuk, Vitaliy, Korolyuk, Andrey, Kozhevnikova, Maria, Kozub, Łukasz, Krstonošić, Daniel, Kühl, Hjalmar, Kühn, Ingolf, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lee, Michael T., Levesley, Aurora, Li, Ching‐Feng, Liu, Hongyan, Lopez‐Gonzalez, Gabriela, Lysenko, Tatiana, Macanović, Armin, Mahdavi, Parastoo, Manning, Peter, Marcenò, Corrado, Martynenko, Vassiliy, Mencuccini, Maurizio, Minden, Vanessa, Moeslund, Jesper Erenskjold, Moretti, Marco, Müller, Jonas V., Munzinger, Jérôme, Niinemets, Ülo, Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Ozinga, Wim A., Pauchard, Anibal, Pedashenko, Hristo, Peñuelas, Josep, Pérez‐Haase, Aaron, Peterka, Tomáš, Petřík, Petr, Phillips, Oliver L., Prokhorov, Vadim, Rašomavičius, Valerijus, Revermann, Rasmus, Rodwell, John, Ruprecht, Eszter, Rūsiņa, Solvita, Samimi, Cyrus, Schaminée, Joop H.J., Schmiedel, Ute, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smyth, Anita, Sop, Tenekwetche, Sopotlieva, Desislava, Sparrow, Ben, Stančić, Zvjezdana, Svenning, Jens‐Christian, Swacha, Grzegorz, Tang, Zhiyao, Tsiripidis, Ioannis, Turtureanu, Pavel Dan, Uğurlu, Emin, Uogintas, Domas, Valachovič, Milan, Vanselow, Kim André, Vashenyak, Yulia, Vassilev, Kiril, Vélez‐Martin, Eduardo, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, Wehrden, Henrik, Wagner, Viktoria, Walker, Donald A., Wana, Desalegn, Weiher, Evan, Wesche, Karsten, Whitfeld, Timothy, Willner, Wolfgang, Wiser, Susan, Wohlgemuth, Thomas, Yamalov, Sergey, Zizka, Georg, Zverev, Andrei, Bruelheide, Helge, Dengler, Jürgen, Jiménez‐Alfaro, Borja, Purschke, Oliver, Hennekens, Stephan M., Chytrý, Milan, Pillar, Valério D., Jansen, Florian, Kattge, Jens, Sandel, Brody, Aubin, Isabelle, Biurrun, Idoia, Field, Richard, Haider, Sylvia, Jandt, Ute, Lenoir, Jonathan, Peet, Robert K., Peyre, Gwendolyn, Sabatini, Francesco Maria, Schmidt, Marco, Schrodt, Franziska, Winter, Marten, Aćić, Svetlana, Agrillo, Emiliano, Alvarez, Miguel, Ambarlı, Didem, Angelini, Pierangela, Apostolova, Iva, Arfin Khan, Mohammed A. S., Arnst, Elise, Attorre, Fabio, Baraloto, Christopher, Beckmann, Michael, Berg, Christian, Bergeron, Yves, Bergmeier, Erwin, Bjorkman, Anne D., Bondareva, Viktoria, Borchardt, Peter, Botta‐Dukát, Zoltán, Boyle, Brad, Breen, Amy, Brisse, Henry, Byun, Chaeho, Cabido, Marcelo R., Casella, Laura, Cayuela, Luis, Černý, Tomáš, Chepinoga, Victor, Csiky, János, Curran, Michael, Ćušterevska, Renata, Dajić Stevanović, Zora, De Bie, Els, de Ruffray, Patrice, De Sanctis, Michele, Dimopoulos, Panayotis, Dressler, Stefan, Ejrnæs, Rasmus, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, Enquist, Brian, Ewald, Jörg, Fagúndez, Jaime, Finckh, Manfred, Font, Xavier, Forey, Estelle, Fotiadis, Georgios, García‐Mijangos, Itziar, Gasper, André Luis, Golub, Valentin, Gutierrez, Alvaro G., Hatim, Mohamed Z., He, Tianhua, Higuchi, Pedro, Holubová, Dana, Hölzel, Norbert, Homeier, Jürgen, Indreica, Adrian, Işık Gürsoy, Deniz, Jansen, Steven, Janssen, John, Jedrzejek, Birgit, Jiroušek, Martin, Jürgens, Norbert, Kącki, Zygmunt, Kavgacı, Ali, Kearsley, Elizabeth, Kessler, Michael, Knollová, Ilona, Kolomiychuk, Vitaliy, Korolyuk, Andrey, Kozhevnikova, Maria, Kozub, Łukasz, Krstonošić, Daniel, Kühl, Hjalmar, Kühn, Ingolf, Kuzemko, Anna, Küzmič, Filip, Landucci, Flavia, Lee, Michael T., Levesley, Aurora, Li, Ching‐Feng, Liu, Hongyan, Lopez‐Gonzalez, Gabriela, Lysenko, Tatiana, Macanović, Armin, Mahdavi, Parastoo, Manning, Peter, Marcenò, Corrado, Martynenko, Vassiliy, Mencuccini, Maurizio, Minden, Vanessa, Moeslund, Jesper Erenskjold, Moretti, Marco, Müller, Jonas V., Munzinger, Jérôme, Niinemets, Ülo, Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Ozinga, Wim A., Pauchard, Anibal, Pedashenko, Hristo, Peñuelas, Josep, Pérez‐Haase, Aaron, Peterka, Tomáš, Petřík, Petr, Phillips, Oliver L., Prokhorov, Vadim, Rašomavičius, Valerijus, Revermann, Rasmus, Rodwell, John, Ruprecht, Eszter, Rūsiņa, Solvita, Samimi, Cyrus, Schaminée, Joop H.J., Schmiedel, Ute, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smyth, Anita, Sop, Tenekwetche, Sopotlieva, Desislava, Sparrow, Ben, Stančić, Zvjezdana, Svenning, Jens‐Christian, Swacha, Grzegorz, Tang, Zhiyao, Tsiripidis, Ioannis, Turtureanu, Pavel Dan, Uğurlu, Emin, Uogintas, Domas, Valachovič, Milan, Vanselow, Kim André, Vashenyak, Yulia, Vassilev, Kiril, Vélez‐Martin, Eduardo, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, Wehrden, Henrik, Wagner, Viktoria, Walker, Donald A., Wana, Desalegn, Weiher, Evan, Wesche, Karsten, Whitfeld, Timothy, Willner, Wolfgang, Wiser, Susan, Wohlgemuth, Thomas, Yamalov, Sergey, Zizka, Georg, and Zverev, Andrei
Abstract: Aims: Vegetation‐plot records provide information on the presence and cover or abundance of plants co‐occurring in the same community. Vegetation‐plot data are spread across research groups, environmental agencies and biodiversity research centers and, thus, are rarely accessible at continental or global scales. Here we present the sPlot database, which collates vegetation plots worldwide to allow for the exploration of global patterns in taxonomic, functional and phylogenetic diversity at the plant community level. Results: sPlot version 2.1 contains records from 1,121,244 vegetation plots, which comprise 23,586,216 records of plant species and their relative cover or abundance in plots collected worldwide between 1885 and 2015. We complemented the information for each plot by retrieving climate and soil conditions and the biogeographic context (e.g., biomes) from external sources, and by calculating community‐weighted means and variances of traits using gap‐filled data from the global plant trait database TRY. Moreover, we created a phylogenetic tree for 50,167 out of the 54,519 species identified in the plots. We present the first maps of global patterns of community richness and community‐weighted means of key traits. Conclusions: The availability of vegetation plot data in sPlot offers new avenues for vegetation analysis at the global scale.
Published: 2019

42. Relationships between vegetation of Macedonian pine (Pinus peuceGriseb.) and different types of soils on which it develops

Author: Mandžukovski, Dejan, Teofilovski, Aco, Andreevski, Marjan, Ćušterevska, Renata, Tzonev, Rossen, and Dimitrov, Marius
Abstract: This paper deals with relationships between vegetation of Macedonian pine (Pinus peuce) and soils developed on different parent materials on the territory of North Macedonia. We analysed the floristic composition at localities on limestone, on scree of dolomite marble and on scree of silicate. On limestone and scree of dolomite marble, rendzinas on hard limestone and dolomite have developed, and on silicate parent material brown forest soils. The vegetation was sampled according to the Braun-Blanquet approach. DCA and indicator values were used for ecological interpretation of the vegetation patterns. The mechanical and chemical properties of soil and textural classes were also processed. An evident increased presence of carbonates in the soil of scree of dolomite marble on Nidže Mountain was observed, unlike that on Shar Mountain which has formed on typical limestone. Although it is a forest community dominated by the same species, differences between the massifs, the precipitation regime, geology, differences in soil properties in relation to the appearance of carbonates and pH values, and other factors, result in differences in their floristic composition and are the reason for the distinction between the two groups. On silicate on Nidže Mountain, Macedonian pine forests have also developed on brown forest soils, with a different floristic composition to that of the other group on carbonate (dolomite and limestone).
Published: 2022
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43. Climatic drivers of dry grassland phylogenetic diversity in the Republic of Macedonia

Author: Batalha, Marco Antonio, primary, Ćušterevska, Renata, additional, and Matevski, Vlado, additional
Published: 2019
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44. Formalized classification of European fen vegetation at the alliance level

Author: Peterka, Tomáš, Hájek, Michal, Jiroušek, Martin, Jiménez-Alfaro, Borja, Aunina, Liene, Bergamini, Ariel, Dítě, Daniel, Felbaba-Klushyna, Ljuba, Graf, Ulrich, Hájková, Petra, Hettenbergerová, Eva, Ivchenko, Tatiana G., Jansen, Florian, Koroleva, Natalia E., Lapshina, Elena D., Lazarević, Predrag M., Moen, Asbjørn, Napreenko, Maxim G., Pawlikowski, Paweł, Plesková, Zuzana, Sekulová, Lucia, Smagin, Viktor A., Tahvanainen, Teemu, Thiele, Annett, Biţǎ-Nicolae, Claudia, Biurrun, Idoia, Brisse, Henry, Ćušterevska, Renata, De Bie, Els, Ewald, Jörg, FitzPatrick, Úna, Font, Xavier, Jandt, Ute, Kącki, Zygmunt, Kuzemko, Anna, Landucci, Flavia, Moeslund, Jesper E., Pérez-Haase, Aaron, Rašomavičius, Valerijus, Rodwell, John S., Schaminée, Joop H.J., Šilc, Urban, Stančić, Zvjezdana, Chytrý, Milan, and Schwabe-Kratochwil, Angelika
Subjects: 0106 biological sciences, Vegetation classification, Bos- en Landschapsecologie, Wetland, Management, Monitoring, Policy and Law, 010603 evolutionary biology, 01 natural sciences, Supervised vegetation classification, Vegetation plots, Forest and Landscape Ecology, Vegetatie, Nature and Landscape Conservation, geography, geography.geographical_feature_category, Vegetation, Biogeography, Ecological gradients, Endangered habitats, Mires, Releves, Unsupervised vegetation classification, Wetlands, Ecology, Chemistry, Relevés, Species diversity, 15. Life on land, PE&RC, Boreal, Indicator species, Ordination, Vegetatie, Bos- en Landschapsecologie, Species richness, Vegetation, Forest and Landscape Ecology, 010606 plant biology & botany
Abstract: AimsPhytosociological classification of fen vegetation (Scheuchzerio palustris-Caricetea fuscae class) differs among European countries. Here we propose a unified vegetation classification of European fens at the alliance level, provide unequivocal assignment rules for individual vegetation plots, identify diagnostic species of fen alliances, and map their distribution.LocationEurope, western Siberia and SE Greenland.Methods29 049 vegetation-plot records of fens were selected from databases using a list of specialist fen species. Formal definitions of alliances were created using the presence, absence and abundance of Cocktail-based species groups and indicator species. DCA visualized the similarities among the alliances in an ordination space. The ISOPAM classification algorithm was applied to regional subsets with homogeneous plot size to check whether the classification based on formal definitions matches the results of unsupervised classifications.ResultsThe following alliances were defined: Caricion viridulo-trinervis (sub-halophytic Atlantic dune-slack fens), Caricion davallianae (temperate calcareous fens), Caricion atrofusco-saxatilis (arcto-alpine calcareous fens), Stygio-Caricion limosae (boreal topogenic brown-moss fens), Sphagno warnstorfii-Tomentypnion nitentis (Sphagnum-brown-moss rich fens), Saxifrago-Tomentypnion (continental to boreo-continental nitrogen-limited brown-moss rich fens), Narthecion scardici (alpine fens with Balkan endemics), Caricion stantis (arctic brown-moss rich fens), Anagallido tenellae-Juncion bulbosi (Ibero-Atlantic moderately rich fens), Drepanocladion exannulati (arcto-boreal-alpine non-calcareous fens), Caricion fuscae (temperate moderately rich fens), Sphagno-Caricion canescentis (poor fens) and Scheuchzerion palustris (dystrophic hollows). The main variation in the species composition of European fens reflected site chemistry (pH, mineral richness) and sorted the plots from calcareous and extremely rich fens, through rich and moderately rich fens, to poor fens and dystrophic hollows. ISOPAM classified regional subsets according to this gradient, supporting the ecological meaningfulness of this classification concept on both the regional and continental scale. Geographic/macroclimatic variation was reflected in the second most important gradient.ConclusionThe pan-European classification of fen vegetation was proposed and supported by the data for the first time. Formal definitions developed here allow consistent and unequivocal assignment of individual vegetation plots to fen alliances at the continental scale.
Published: 2017
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45. Armerio rumelicae-Potentillion Micevski 1978 in South-Central Balkan with emphasis on Galičica Mountain vegetation.

Author: Ćušterevska, Renata
Subjects: *MOUNTAIN plants, *PERENNIALS, *MOUNTAINS
Abstract: The article provides an overview of current knowledge about distribution of perennial grasslands supported by nutrient-poor soils on siliceous bedrocks at elevations characterized by the submediterranean climate of South- Central Balkan Peninsula (Armerio rumelicae-Potentillion). We used our own field data from Galičica Mountain and literature sources to compile a set of vegetation plots that have been stored in a vegetation database, data-mined and analyzed using numerical-analytical tools such as cluster analysis and ordination. Five already known associations, were confirmed as well-defined floristic complexes, while the floristic composition of our data enabled recognition of ass. Euphrasio-Plantaginetum holostei Micevski 1994 subass. festucetosum hirtovaginatae subass. nova. [ABSTRACT FROM AUTHOR]
Published: 2017
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46. Early spring ephemeral therophytic non-nitrophilous grasslands as a habitat of various species of romulea in the southern balkans

Author: Čarni, Andraž, primary, Matevski, Vlado, additional, Šilc, Urban, additional, and Ćušterevska, Renata, additional
Published: 2014
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47. Dry Grassland Communities of Erysimo-Trifolietum in the Northeastern Part of the Republic of Macedonia

Author: Ćušterevska, Renata, primary, Matevski, Vlado, additional, Kostadinovski, Mitko, additional, and Čarni, Andraž, additional
Published: 2012
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48. Mapping species richness of plant families in European vegetation

Author: Večeřa, Martin, Axmanová, Irena, Padullés Cubino, Josep, Lososová, Zdeňka, Divíšek, Jan, Knollová, Ilona, Aćić, Svetlana, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Campos, Juan Antonio, Čarni, Andraž, Carranza, Maria Laura, Casella, Laura, Chiarucci, Alessandro, Ćušterevska, Renata, Delbosc, Pauline, Dengler, Jürgen, Fernández‐González, Federico, Gégout, Jean‐Claude, Jandt, Ute, Jansen, Florian, Jašková, Anni, Jiménez‐Alfaro, Borja, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Moeslund, Jesper Erenskjold, Pielech, Remigiusz, Ruprecht, Eszter, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Swacha, Grzegorz, Tatarenko, Irina, Vassilev, Kiril, Wohlgemuth, Thomas, Yamalov, Sergey, Chytrý, Milan, Večeřa, Martin, Axmanová, Irena, Padullés Cubino, Josep, Lososová, Zdeňka, Divíšek, Jan, Knollová, Ilona, Aćić, Svetlana, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Campos, Juan Antonio, Čarni, Andraž, Carranza, Maria Laura, Casella, Laura, Chiarucci, Alessandro, Ćušterevska, Renata, Delbosc, Pauline, Dengler, Jürgen, Fernández‐González, Federico, Gégout, Jean‐Claude, Jandt, Ute, Jansen, Florian, Jašková, Anni, Jiménez‐Alfaro, Borja, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Moeslund, Jesper Erenskjold, Pielech, Remigiusz, Ruprecht, Eszter, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Swacha, Grzegorz, Tatarenko, Irina, Vassilev, Kiril, Wohlgemuth, Thomas, Yamalov, Sergey, and Chytrý, Milan
Abstract: Aims 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.

49. Mapping species richness of plant families in European vegetation

Author: Večeřa, Martin, Axmanová, Irena, Padullés Cubino, Josep, Lososová, Zdeňka, Divíšek, Jan, Knollová, Ilona, Aćić, Svetlana, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Campos, Juan Antonio, Čarni, Andraž, Carranza, Maria Laura, Casella, Laura, Chiarucci, Alessandro, Ćušterevska, Renata, Delbosc, Pauline, Dengler, Jürgen, Fernández‐González, Federico, Gégout, Jean‐Claude, Jandt, Ute, Jansen, Florian, Jašková, Anni, Jiménez‐Alfaro, Borja, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Moeslund, Jesper Erenskjold, Pielech, Remigiusz, Ruprecht, Eszter, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Swacha, Grzegorz, Tatarenko, Irina, Vassilev, Kiril, Wohlgemuth, Thomas, Yamalov, Sergey, Chytrý, Milan, Večeřa, Martin, Axmanová, Irena, Padullés Cubino, Josep, Lososová, Zdeňka, Divíšek, Jan, Knollová, Ilona, Aćić, Svetlana, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Campos, Juan Antonio, Čarni, Andraž, Carranza, Maria Laura, Casella, Laura, Chiarucci, Alessandro, Ćušterevska, Renata, Delbosc, Pauline, Dengler, Jürgen, Fernández‐González, Federico, Gégout, Jean‐Claude, Jandt, Ute, Jansen, Florian, Jašková, Anni, Jiménez‐Alfaro, Borja, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Moeslund, Jesper Erenskjold, Pielech, Remigiusz, Ruprecht, Eszter, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Swacha, Grzegorz, Tatarenko, Irina, Vassilev, Kiril, Wohlgemuth, Thomas, Yamalov, Sergey, and Chytrý, Milan
Abstract: Aims 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.

50. A Mediterranean forest types' map – based on dominant species

Author: García Millán, Virginia, Barba-González, Cristóbal, Burgueño, Antonio, Aldana-Martín, José F., Vázquez-Pendón, María, Antequera, María Luisa, Marín, Ana I., Sánchez-Espinosa, Antonio, Schröder, Christoph, Navas-Delgado, Ismael, Abdul Malak, Dania, Bastrup-Birk, Anne Marie, Knollová, Ilona, Garbolino, Emmanuel, Attorre, Fabio, Agrillo, Emiliano, Casella, Laura, Škvorc, Željko, Tsiripidis, Ioannis, Čarni, Andraž, Stupar, Vladimir, Šilc, Urban, Küzmič, Filip, Vassilev, Kiril, Bonari, Gianmaria, Biurrun, Idoia, Kavgaci, Ali, Chiarucci, Alessandro, Fanelli, Giuliano, de Sanctis, Michele, Bruzzaniti, Vanessa, Jansen, Jan, Ćušterevska, Renata, Charco, Jesús, Touhami, Issam, Youssef Hani, Nizar, Mikhael Stephan, Jean, Fouad, Malki, Lefhaili, Abdelmoula, Lahcen, Oukannou, Martinoli, Alessio, Mallinis, Giorgios, Alberdi, Iciar, and Robla, Elena
Subjects: Mediterranean Forest, Land Cover
Abstract: Forest maps are an essential tool for forest management. They help in understanding the distribution, expansion and health of forests and they give spatial and temporal context to the drivers of forest degradation and potential nature-based solutions for restoration. However, at the global and regional levels, the existing sources of forest cartography present several limitations. The definition of forests is generally too generic (broad classes of forest cover, or distinction only on coniferous, deciduous and mixed forests) and the scale is too broad. In addition, the map accuracy might me insufficient depending on the methodology used and the availability of field truthing data. Mediterranean forests are very diverse in terms of tree species, forest types and tree density. They are generally composed of more broadleaf trees and mixed stands, often with a lower tree density than in other temperate and boreal forests. Moreover, the Mediterranean region is highly affected by human impacts and climate change. In this context, a map of Mediterranean forest types, based on dominant species, with a high temporal and spatial resolution and high map accuracy is needed to support forest management at the local scale. At a regional scale, this map supports conservation and restoration policies, such as the Convention on Biological Diversity, the UN Framework Convention on Climate Change, the European Green Deal, the Sustainable Development Goals, and the EU Forest and Biodiversity Strategies for 2030. In the current frame of open-source Earth Observation satellite Big Data and the development of Artificial Intelligence (AI) for massive data storage and analysis, it is feasible to generate forest maps for the entire Mediterranean region on a yearly basis and at a resolution of few meters. To achieve a good map accuracy today, the bottleneck is the forest data to feed the models. There is a need of harmonizing forest databases to achieve maps at the global and regional levels with a homogeneous accuracy along with the mapped territory. In addition, the data must reach remote sensing requirements. The map is based on Sentinel-2 multispectral imagery, NASA/JAXA ASTER Digital Elevation Model and derived thematic layers. More than 80.000 forest samples were gathered and curated for feeding the models, including approximately 100 tree species into 30 forest classes. Spectral separability analysis was used to confirm the suitability of the ecological description of forest types into remote sensing classification. This data comes from forest databases of several sources, which needed an extensive work on harmonization, as they come in different formats, collect different variables and handle different forest type’s definitions. Several National Forest Inventories (Spain, Tunisia and Lebanon) were used, together with some databases from the European Vegetation Archive (EVA). Therefore, we acknowledge the potential benefit in creating standards at European and regional levels for National Forest Inventories, for their use in remote sensing applications., This work was developed in the framework of the EnBIC2Lab project, funded by the EU LifeWatch ERIC program, in collaboration with FAO Silva Mediterranea, Medforval network, the European Environmental Agency (EEA) and the EEA-Eionet.
Published: 2022
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