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5. Pronounced turnover of vascular plant species in Central European arable fields over 90 years

Author

Glaser, Michael, primary, Dullinger, Stefan, additional, Moser, Dietmar, additional, Wessely, Johannes, additional, Chytrý, Milan, additional, Lososová, Zdeňka, additional, Axmanová, Irena, additional, Berg, Christian, additional, Bürger, Jana, additional, Buholzer, Serge, additional, Buldrini, Fabrizio, additional, Chiarucci, Alessandro, additional, Follak, Swen, additional, Küzmič, Filip, additional, Meyer, Stefan, additional, Pyšek, Petr, additional, Richner, Nina, additional, Šilc, Urban, additional, Steinkellner, Siegrid, additional, Wietzke, Alexander, additional, and Essl, Franz, additional

Published
2024
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13. Significant records of plants, algae, fungi, and animals in SE Europe and adjacent regions, 1.

Author

Krajšek, Simona Strgulc, Kocjan, Mihael J., Küzmič, Filip, Cimerman, Žan Lobnik, Marc, Lara, Potočnik, Katja, and Šenk, Ela

Subjects
VASCULAR plants, ALGAE, PEAT mosses, FUNGI, SPECIES, MOSSES, GRACILARIA
Abstract

In this paper, we present four significant records of plants in Slovenia: a vascular plant Calepina irregularis, and three moss species, Ptychostomum torquescens, Sphagnum papillosum; Tortella fasciculata. [ABSTRACT FROM AUTHOR]

Published
2024
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14. 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

15. 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

17. Prispevek k poznavanju plevelne in ruderalne vegetacije Prekmurja (SV Slovenija).

Author

KÜZMIČ, FILIP, BEHRIČ, SANJA, and ŠILC, URBAN

Subjects
PLANT communities, WEEDS, CLASSIFICATION
Abstract

Copyright of Hladnikia is the property of Botanical Society of Slovenia / Botanicno Drustvo Slovenije and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023

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

Author

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

Published
2023
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20. AgriWeedClim database: A repository of vegetation plot data from Central European arable habitats over 100 years

Author

Glaser, Michael, primary, Berg, Christian, additional, Buldrini, Fabrizio, additional, Buholzer, Serge, additional, Bürger, Jana, additional, Chiarucci, Alessandro, additional, Chytrý, Milan, additional, Dřevojan, Pavel, additional, Follak, Swen, additional, Küzmič, Filip, additional, Lososová, Zdeňka, additional, Meyer, Stefan, additional, Moser, Dietmar, additional, Pyšek, Petr, additional, Richner, Nina, additional, Šilc, Urban, additional, Wietzke, Alexander, additional, Dullinger, Stefan, additional, and Essl, Franz, additional

Published
2022
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21. 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

22. 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

23. 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

24. Supporting information to the paper Bürger, J. et al. Two sides of one medal: arable weed vegetation of Europe in agronomical weed surveys compared to phytosociological data. Applied Vegetation Science

Author

Bürger, Jana, Küzmič, Filip, Šilc, Urban, Jansen, Florian, Bergmeier, Erwin, Chytrý, Milan, Cirujeda, Alicia, Fogliatto, Silvia, Fried, Guillaume, Dostatny, Denise F., Gerowitt, Bärbel, Glemnitz, Michael, González-Andújar, José Luis, Hernández Plaza, María Eva, Izquierdo, Jordi, Kolářová, Michaela, Lososová, Zdeňka, Metcalfe, Helen, Ņečajeva, Jevgenija, Petit, Sandrine, Pinke, Gyula, Rašomavičius, Valerijus, von Redwitz, Christoph, Schumacher, Matthias, Ulber, Lena, Vidotto, Francesco, Bürger, Jana, Küzmič, Filip, Šilc, Urban, Jansen, Florian, Bergmeier, Erwin, Chytrý, Milan, Cirujeda, Alicia, Fogliatto, Silvia, Fried, Guillaume, Dostatny, Denise F., Gerowitt, Bärbel, Glemnitz, Michael, González-Andújar, José Luis, Hernández Plaza, María Eva, Izquierdo, Jordi, Kolářová, Michaela, Lososová, Zdeňka, Metcalfe, Helen, Ņečajeva, Jevgenija, Petit, Sandrine, Pinke, Gyula, Rašomavičius, Valerijus, von Redwitz, Christoph, Schumacher, Matthias, Ulber, Lena, and Vidotto, Francesco

Abstract

Appendix S1. Details of data sets included in the EVA-W arable weed vegetation subset of the European Vegetation Archive. Appendix S2. Details of data sets included in Arable Weeds and Management in Europe data collection (as of 2021). Appendix S3. Record numbers presented in Figure 5 of the main paper. Appendix S4. Distribution of records over time in two data collections.

Published
2022

25. Two sides of one medal: Arable weed vegetation of Europe in phytosociological data compared to agronomical weed surveys

Author

German Research Foundation, Czech Science Foundation, Slovenian Research Agency, Bürger, Jana, Küzmič, Filip, Šilc, Urban, Jansen, Florian, Bergmeier, Erwin, Chytrý, Milan, Cirujeda, Alicia, Fogliatto, Silvia, Fried, Guillaume, Dostatny, Denise F., Gerowitt, Bärbel, Glemnitz, Michael, González-Andújar, José Luis, Hernández Plaza, María Eva, Izquierdo, Jordi, Kolářová, Michaela, Lososová, Zdeňka, Metcalfe, Helen, Ņečajeva, Jevgenija, Petit, Sandrine, Pinke, Gyula, Rašomavičius, Valerijus, von Redwitz, Christoph, Schumacher, Matthias, Ulber, Lena, Vidotto, Francesco, German Research Foundation, Czech Science Foundation, Slovenian Research Agency, Bürger, Jana, Küzmič, Filip, Šilc, Urban, Jansen, Florian, Bergmeier, Erwin, Chytrý, Milan, Cirujeda, Alicia, Fogliatto, Silvia, Fried, Guillaume, Dostatny, Denise F., Gerowitt, Bärbel, Glemnitz, Michael, González-Andújar, José Luis, Hernández Plaza, María Eva, Izquierdo, Jordi, Kolářová, Michaela, Lososová, Zdeňka, Metcalfe, Helen, Ņečajeva, Jevgenija, Petit, Sandrine, Pinke, Gyula, Rašomavičius, Valerijus, von Redwitz, Christoph, Schumacher, Matthias, Ulber, Lena, and Vidotto, Francesco

Abstract

Questions: Two scientific disciplines, vegetation science and weed science, study arable weed vegetation, which has seen a strong diversity decrease in Europe over the last decades. We compared two collections of plot-based vegetation records originating from these two disciplines. The aim was to check the suitability of the collections for joint analysis and for addressing research questions from the opposing domains. We asked: are these collections complementary? If so, how can they be used for joint analysis?. Location: Europe. Methods: We compared 13 311 phytosociological relevés and 13 328 records from weed science, concerning both data collection properties and the recorded species richness. To deal with bias in the data, we also analysed different subsets (i.e., crops, geographical regions, organic vs conventional fields, center vs edge plots). Results: Records from vegetation science have an average species number of 19.0 ± 10.4. Metadata on survey methodology or agronomic practices are rare in this collection. Records from weed science have an average species number of 8.5 ± 6.4. They are accompanied by extensive methodological information. Vegetation science records and the weed science records taken at field edges or from organic fields have similar species numbers. The collections cover different parts of Europe but the results are consistent in six geographical subsets and the overall data set. The difference in species numbers may be caused by differences in methodology between the disciplines, i.e., plot positioning within fields, plot sizes, or survey timing. Conclusion: This comparison of arable weed data that were originally sampled with a different purpose represents a new effort in connecting research between vegetation scientists and weed scientists. Both collections show different aspects of weed vegetation, which means the joint use of the data is valuable as it can contribute to a more complete picture of weed species diversity in European ar

Published
2022

26. Fifteen emerging challenges and opportunities for vegetation science: A horizon scan by early career researchers

Author

Freie Universität Berlin, Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Indonesia Endowment Fund for Education, Ministry of Education, Science and Technological Development (Serbia), Consejo Nacional de Ciencia y Tecnología (México), Yannelli, Florencia A., Bazzichetto, Manuele, Conradi, Timo, Pattison, Zarah, Andrade, Bianca O., Agbolade Anibaba, Quadri, Bonari, Gianmaria, Chelli, Stefano, Ćuk, Mirjana, Damasceno, Gabriella, Fantinato, Edy, Geange, Sonya R., Tang Guuroh, Reginald, Jamal Musa Holle, Mukhlish, Küzmič, Filip, Lembrechts, Jonas J., Mosyaftiani, Amarizni, Šikuljak, Tijana, Teixeira, Juliana, Tordoni, Enrico, Pérez-Valladares, Cloe X., Sperandii, Marta G., Freie Universität Berlin, Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Indonesia Endowment Fund for Education, Ministry of Education, Science and Technological Development (Serbia), Consejo Nacional de Ciencia y Tecnología (México), Yannelli, Florencia A., Bazzichetto, Manuele, Conradi, Timo, Pattison, Zarah, Andrade, Bianca O., Agbolade Anibaba, Quadri, Bonari, Gianmaria, Chelli, Stefano, Ćuk, Mirjana, Damasceno, Gabriella, Fantinato, Edy, Geange, Sonya R., Tang Guuroh, Reginald, Jamal Musa Holle, Mukhlish, Küzmič, Filip, Lembrechts, Jonas J., Mosyaftiani, Amarizni, Šikuljak, Tijana, Teixeira, Juliana, Tordoni, Enrico, Pérez-Valladares, Cloe X., and Sperandii, Marta G.

Abstract

With the aim to identify future challenges and opportunities in vegetation science, we brought together a group of 22 early career vegetation scientists from diverse backgrounds to perform a horizon scan. In this contribution, we present a selection of 15 topics that were ranked by participants as the most emergent and impactful for vegetation science in the face of global change. We highlight methodological tools that we expect will play a critical role in resolving emerging issues by providing ways to unveil new aspects of plant community dynamics and structure. These tools include next generation sequencing, plant spectral imaging, process-based species distribution models, resurveying studies and permanent plots. Further, we stress the need to integrate long-term monitoring, the study of novel ecosystems, below-ground traits, pollination interactions and global networks of near-surface microclimate data at fine spatio-temporal resolutions to fully understand and predict the impacts of climate change on vegetation dynamics. We also emphasize the need to integrate traditional forms of knowledge and a diversity of stakeholders into research, teaching, management and policy-making to advance the field of vegetation science. The conclusions reached by this horizon scan naturally reflect the background, expertise and interests of a representative pool of early career vegetation scientists, which should serve as basis for future developments in the field.

Published
2022

27. Distribution maps of vegetation alliances in Europe

Author

Preislerová, Zdenka, primary, Jiménez‐Alfaro, Borja, additional, Mucina, Ladislav, additional, Berg, Christian, additional, Bonari, Gianmaria, additional, Kuzemko, Anna, additional, Landucci, Flavia, additional, Marcenò, Corrado, additional, Monteiro‐Henriques, Tiago, additional, Novák, Pavel, additional, Vynokurov, Denys, additional, Bergmeier, Erwin, additional, Dengler, Jürgen, additional, Apostolova, Iva, additional, Bioret, Frederic, additional, Biurrun, Idoia, additional, Campos, Juan Antonio, additional, Capelo, Jorge, additional, Čarni, Andraž, additional, Çoban, Süleyman, additional, Csiky, János, additional, Ćuk, Mirjana, additional, Ćušterevska, Renata, additional, Daniëls, Fred J.A., additional, De Sanctis, Michele, additional, Didukh, Yakiv, additional, Dítě, Daniel, additional, Fanelli, Giuliano, additional, Golovanov, Yaroslav, additional, Golub, Valentin, additional, Guarino, Riccardo, additional, Hájek, Michal, additional, Iakushenko, Dmytro, additional, Indreica, Adrian, additional, Jansen, Florian, additional, Jašková, Anni, additional, Jiroušek, Martin, additional, Kalníková, Veronika, additional, Kavgacı, Ali, additional, Kucherov, Ilya, additional, Küzmič, Filip, additional, Lebedeva, Maria, additional, Loidi, Javier, additional, Lososová, Zdeňka, additional, Lysenko, Tatiana, additional, Milanović, Đorđije, additional, Onyshchenko, Viktor, additional, Perrin, Gwenhael, additional, Peterka, Tomáš, additional, Rašomavičius, Valerijus, additional, Rodríguez‐Rojo, María Pilar, additional, Rodwell, John S., additional, Rūsiņa, Solvita, additional, Sánchez‐Mata, Daniel, additional, Schaminée, Joop H.J., additional, Semenishchenkov, Yuri, additional, Shevchenko, Nikolay, additional, Šibík, Jozef, additional, Škvorc, Željko, additional, Smagin, Viktor, additional, Stešević, Danijela, additional, Stupar, Vladimir, additional, Šumberová, Kateřina, additional, Theurillat, Jean‐Paul, additional, Tikhonova, Elena, additional, Tzonev, Rossen, additional, Valachovič, Milan, additional, Vassilev, Kiril, additional, Willner, Wolfgang, additional, Yamalov, Sergey, additional, Večeřa, Martin, additional, and Chytrý, Milan, additional

Published
2022
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28. Two sides of one medal: Arable weed vegetation of Europe in phytosociological data compared to agronomical weed surveys

Author

Bürger, Jana, primary, Küzmič, Filip, additional, Šilc, Urban, additional, Jansen, Florian, additional, Bergmeier, Erwin, additional, Chytrý, Milan, additional, Cirujeda, Alicia, additional, Fogliatto, Silvia, additional, Fried, Guillaume, additional, Dostatny, Denise F., additional, Gerowitt, Bärbel, additional, Glemnitz, Michael, additional, González‐Andújar, José L., additional, Hernández Plaza, Eva, additional, Izquierdo, Jordi, additional, Kolářová, Michaela, additional, Lososová, Zdeňka, additional, Metcalfe, Helen, additional, Ņečajeva, Jevgenija, additional, Petit, Sandrine, additional, Pinke, Gyula, additional, Rašomavičius, Valerijus, additional, Redwitz, Christoph, additional, Schumacher, Matthias, additional, Ulber, Lena, additional, and Vidotto, Francesco, additional

Published
2022
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29. Fifteen emerging challenges and opportunities for vegetation science: A horizon scan by early career researchers

Author

Yannelli, Florencia A., primary, Bazzichetto, Manuele, additional, Conradi, Timo, additional, Pattison, Zarah, additional, Andrade, Bianca O., additional, Anibaba, Quadri Agbolade, additional, Bonari, Gianmaria, additional, Chelli, Stefano, additional, Ćuk, Mirjana, additional, Damasceno, Gabriella, additional, Fantinato, Edy, additional, Geange, Sonya R., additional, Guuroh, Reginald Tang, additional, Holle, Mukhlish Jamal Musa, additional, Küzmič, Filip, additional, Lembrechts, Jonas J., additional, Mosyaftiani, Amarizni, additional, Šikuljak, Tijana, additional, Teixeira, Juliana, additional, Tordoni, Enrico, additional, Pérez‐Valladares, Cloe X., additional, and Sperandii, Marta G., additional

Published
2022
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30. 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

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., 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

34. Classification and gradient analysis of weed vegetation in Europe

Author

Küzmič, Filip and Šilc, Urban

Subjects
makroekologija, phytosociology, Razvrščanje, macroecology, ordinacija, ordination, weed vegetation, plevelna vegetacija, Classification, fitosociologija
Abstract

Fitosociologija je veda, ki preučuje rastlinske zrdužbe ter vzorce, spremembe in povzročitelje teh sprememb v vrstni sestavi in abundanci teh združb. Osnovni podatek je izčrpen popis vseh vrst in njihove abundance na zelo majhnem območju (ploskvi). Enoletna plevelna in ruderalna vegetacija sta tip vegetacije, ki se pojavlja na od človeka močno spremenjenih rastiščih zaradi motenj, ki so zelo različnih intenzivnosti, pogostnosti in predvidljivosti. Ne glede na to pa poleg ostalih abiotskih in biotskih dejavnikov zelo pomembno vplivajo na vrstno sestavo in abundanco. V študijah v doktorski disertaciji smo z uporabo največjega nabora podatkov do sedaj raziskali in opisali nekatere vzorce v enoletni plevelni in ruderalni vegetaciji na nivoju celotne Evrope. V prvem delu smo z uporabo različnih metod razvrščanja odgovorili na dolgo časa odprto vprašanje o najbolj optimalnem številu skupin plevelne in ruderalne vegetacije. Rezultati so pokazali, da štiri skupine najbolje opišejo raznolikost tega tipa vegetacije. Posledično v skladu s tem predlagamo spremembo trenutne sheme za razvrščanje evropskih tipov vegetacije. V drugem delu smo z uporabo dveh tipov plevelne vegetacije na žitnih poljih raziskali teorijo o povezavi med abundanco vrste glede na pozicijo v delu območja razširjenosti vrste. Našli smo močno podporo teoriji, ko so v primeru plevelne vegetacije na bazičnih tleh vrste bolj specializirane blizu roba območja razširjenosti. V primeru plevelne vegetacije na kislih tleh nismo našli podpore za to teorijo, temveč smo izpostavili verjetne pomanjkljivosti v metodologiji in predlagali povečanje območja. V tretjem delu smo raziskali enega najdlje poznanih vzorcev v ekologiji – manjšanje vrstne pestrosti z oddaljevanjem od ekvatorja – z vidika izbranega tipa vegetacije. Ugotovili smo, da se alfa diverziteta manj močno spreminja z geografsko širino kot gamma diverziteta, ki so jo uporabljali v večini podobnih raziskav. Kljub šibkemu trendu smo zaznali pomembne razlike med tipi vegetacije glede na intenzivnost motnje, saj se je alfa diverziteta pri bolj intenzivnih motnjah z višjo geografsko širino celo povečala. V četrtem delu smo bolj podrobno raziskali stopnjo prisotnosti neofitov v plevelni in ruderalni vegetaciji, ki je bila prepoznana kot najbolj prizadeta v več regijskih raziskavah. Našli smo velike razlike med sedmimi evropskimi bioregijami (z najvišjim številom neofitov v atlantski regiji) in med tremi tipi motenj (z najvišjim številom neofitov v ruderalni vegetaciji). Iz izsledkov vseh študij lahko zaključimo, da glavni značilnosti plevelne in ruderalne vegetacije (prevlada enoletnih vrst in pojavljanje, ki je tesno povezano s človekovim delovanjem) dajeta temu tipu vegetacije pomembno vlogo v ekoloških raziskavah, saj lahko po eni strani zaradi teh posebnosti identificiramo pomanjkljivosti v nekaterih splošno sprejetih ekoloških teorijah, po drugi strani pa lahko z dokazi podpremo in tako utrdimo nekatere druge. Fitosociology is a field in vegetation science studying plant communities, trends, changes, and drivers of these changes in their species richness and composition. Its basic data consist of small-scale records (plot-level) and give exhaustive information on species composition and abundance. Annual weed and ruderal vegetation represents vegetation types found on anthropogenically disturbed sites with varying frequency, intensity, and predictability of the disturbances which (together with other abiotic and biotic factors) strongly affect its species composition and abundance. We used the so far largest dataset of phytosociological data to explore and describe patterns in annual weed and ruderal vegetation on a European scale. In the first study, we tackled the long-lasting issue of classification of European weed and ruderal vegetation for the first time on a joined dataset. Using several different classification methods, we had found that four groups best describe the variability of this vegetation and consequently proposed changes to the current classification scheme. In the second study, using two types of weed vegetation in cereal fields, we asked if the general ecological theory on the relationship between species abundance regarding the position in the distribution area holds also for weed vegetation. We found contrasting results: strong support for the theory in weed vegetation on base-rich soils and no support in weed vegetation on acidic soils. We argued that the proposed methodology we had adopted has certain flaws and that the scope of the study should be extended. In the third study, we explored one of the longest known gradients in ecology – decrease in species richness with the increasing distance from the equator. We found that alpha diversity show a much less clear pattern than gamma diversity studies. However, disturbance regimes influence the patterns and can also increase species richness at high latitudes. In the fourth chapter, we addressed the issue of neophyte species in weed and ruderal vegetation, which has been found as the most invaded in several regional studies. We found strong differences in the level of invasion between seven biogeographical regions (Atlantic region having the largest neophyte species pool) and three disturbance regimes (ruderal vegetation having the largest neophyte species pool). From all the studies we can conclude that the inherent feature of the selected vegetation type (dominant annual species and the close relation to human activities) makes it a very valuable study object since it enables us to identify exceptions in some generally accepted theories on the one hand and to solidify other theories with this extreme vegetation type on the other.

Published
2020

35. 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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36. The biogeography of alien plant invasions in the Mediterranean Basin

Author

Cao Pinna, Luigi, primary, Axmanová, Irena, additional, Chytrý, Milan, additional, Malavasi, Marco, additional, Acosta, Alicia T. R., additional, Giulio, Silvia, additional, Attorre, Fabio, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Campos, Juan Antonio, additional, Font, Xavier, additional, Küzmič, Filip, additional, Landucci, Flavia, additional, Marcenò, Corrado, additional, Rodríguez‐Rojo, Maria Pilar, additional, and Carboni, Marta, additional

Published
2021
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37. 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, Cuk, Mirjana, Custerevska, 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, 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, Cuk, Mirjana, Custerevska, 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

Abstract

Contains fulltext : 222360.pdf (publisher's version ) (Open Access), 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 electroni

Published
2020

38. 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

39. 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

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

Author

Chytrý, Milan, primary, Tichý, Lubomír, additional, Hennekens, Stephan M., additional, Knollová, Ilona, additional, Janssen, John A. M., additional, Rodwell, John S., additional, Peterka, Tomáš, additional, Marcenò, Corrado, additional, Landucci, Flavia, additional, Danihelka, Jiří, additional, Hájek, Michal, additional, Dengler, Jürgen, additional, Novák, Pavel, additional, Zukal, Dominik, additional, Jiménez‐Alfaro, Borja, additional, Mucina, Ladislav, additional, Abdulhak, Sylvain, additional, Aćić, Svetlana, additional, Agrillo, Emiliano, additional, Attorre, Fabio, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Boch, Steffen, additional, Bölöni, János, additional, Bonari, Gianmaria, additional, Braslavskaya, Tatiana, additional, Bruelheide, Helge, additional, Campos, Juan Antonio, additional, Čarni, Andraž, additional, Casella, Laura, additional, Ćuk, Mirjana, additional, Ćušterevska, Renata, additional, De Bie, Els, additional, Delbosc, Pauline, additional, Demina, Olga, additional, Didukh, Yakiv, additional, Dítě, Daniel, additional, Dziuba, Tetiana, additional, Ewald, Jörg, additional, Gavilán, Rosario G., additional, Gégout, Jean‐Claude, additional, Giusso del Galdo, Gian Pietro, additional, Golub, Valentin, additional, Goncharova, Nadezhda, additional, Goral, Friedemann, additional, Graf, Ulrich, additional, Indreica, Adrian, additional, Isermann, Maike, additional, Jandt, Ute, additional, Jansen, Florian, additional, Jansen, Jan, additional, Jašková, Anni, additional, Jiroušek, Martin, additional, Kącki, Zygmunt, additional, Kalníková, Veronika, additional, Kavgacı, Ali, additional, Khanina, Larisa, additional, Yu. Korolyuk, Andrey, additional, Kozhevnikova, Mariya, additional, Kuzemko, Anna, additional, Küzmič, Filip, additional, Kuznetsov, Oleg L., additional, Laiviņš, Māris, additional, Lavrinenko, Igor, additional, Lavrinenko, Olga, additional, Lebedeva, Maria, additional, Lososová, Zdeňka, additional, Lysenko, Tatiana, additional, Maciejewski, Lise, additional, Mardari, Constantin, additional, Marinšek, Aleksander, additional, Napreenko, Maxim G., additional, Onyshchenko, Viktor, additional, Pérez‐Haase, Aaron, additional, Pielech, Remigiusz, additional, Prokhorov, Vadim, additional, Rašomavičius, Valerijus, additional, Rodríguez Rojo, Maria Pilar, additional, Rūsiņa, Solvita, additional, Schrautzer, Joachim, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Škvorc, Željko, additional, Smagin, Viktor A., additional, Stančić, Zvjezdana, additional, Stanisci, Angela, additional, Tikhonova, Elena, additional, Tonteri, Tiina, additional, Uogintas, Domas, additional, Valachovič, Milan, additional, Vassilev, Kiril, additional, Vynokurov, Denys, additional, Willner, Wolfgang, additional, Yamalov, Sergey, additional, Evans, Douglas, additional, Palitzsch Lund, Mette, additional, Spyropoulou, Rania, additional, Tryfon, Eleni, additional, and Schaminée, Joop H. J., additional

Published
2020
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41. European Weed Vegetation Database – a gap-focused vegetation-plot database

Author

Küzmič, Filip, primary, Šilc, Urban, additional, Lososová, Zdeňka, additional, Mucina, Ladislav, additional, Chytrý, Milan, additional, Knollová, Ilona, additional, Hennekens, Stephan M., additional, Berg, Christian, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Fanfarillo, Emanuele, additional, Font, Xavier, additional, Iakushenko, Dmytro, additional, Kovačević, Zlatan, additional, Meyer, Stefan, additional, Nagy, Katalin, additional, Pinke, Gyula, additional, Poranen, Eira, additional, and Tereshenko, Svetlana, additional

Published
2020
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43. 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

44. sPlot – A new tool for global vegetation analyses

Author

Bruelheide, Helge, primary, Dengler, Jürgen, additional, Jiménez‐Alfaro, Borja, additional, Purschke, Oliver, additional, Hennekens, Stephan M., additional, Chytrý, Milan, additional, Pillar, Valério D., additional, Jansen, Florian, additional, Kattge, Jens, additional, Sandel, Brody, additional, Aubin, Isabelle, additional, Biurrun, Idoia, additional, Field, Richard, additional, Haider, Sylvia, additional, Jandt, Ute, additional, Lenoir, Jonathan, additional, Peet, Robert K., additional, Peyre, Gwendolyn, additional, Sabatini, Francesco Maria, additional, Schmidt, Marco, additional, Schrodt, Franziska, additional, Winter, Marten, additional, Aćić, Svetlana, additional, Agrillo, Emiliano, additional, Alvarez, Miguel, additional, Ambarlı, Didem, additional, Angelini, Pierangela, additional, Apostolova, Iva, additional, Arfin Khan, Mohammed A. S., additional, Arnst, Elise, additional, Attorre, Fabio, additional, Baraloto, Christopher, additional, Beckmann, Michael, additional, Berg, Christian, additional, Bergeron, Yves, additional, Bergmeier, Erwin, additional, Bjorkman, Anne D., additional, Bondareva, Viktoria, additional, Borchardt, Peter, additional, Botta‐Dukát, Zoltán, additional, Boyle, Brad, additional, Breen, Amy, additional, Brisse, Henry, additional, Byun, Chaeho, additional, Cabido, Marcelo R., additional, Casella, Laura, additional, Cayuela, Luis, additional, Černý, Tomáš, additional, Chepinoga, Victor, additional, Csiky, János, additional, Curran, Michael, additional, Ćušterevska, Renata, additional, Dajić Stevanović, Zora, additional, De Bie, Els, additional, de Ruffray, Patrice, additional, De Sanctis, Michele, additional, Dimopoulos, Panayotis, additional, Dressler, Stefan, additional, Ejrnæs, Rasmus, additional, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, additional, Enquist, Brian, additional, Ewald, Jörg, additional, Fagúndez, Jaime, additional, Finckh, Manfred, additional, Font, Xavier, additional, Forey, Estelle, additional, Fotiadis, Georgios, additional, García‐Mijangos, Itziar, additional, de Gasper, André Luis, additional, Golub, Valentin, additional, Gutierrez, Alvaro G., additional, Hatim, Mohamed Z., additional, He, Tianhua, additional, Higuchi, Pedro, additional, Holubová, Dana, additional, Hölzel, Norbert, additional, Homeier, Jürgen, additional, Indreica, Adrian, additional, Işık Gürsoy, Deniz, additional, Jansen, Steven, additional, Janssen, John, additional, Jedrzejek, Birgit, additional, Jiroušek, Martin, additional, Jürgens, Norbert, additional, Kącki, Zygmunt, additional, Kavgacı, Ali, additional, Kearsley, Elizabeth, additional, Kessler, Michael, additional, Knollová, Ilona, additional, Kolomiychuk, Vitaliy, additional, Korolyuk, Andrey, additional, Kozhevnikova, Maria, additional, Kozub, Łukasz, additional, Krstonošić, Daniel, additional, Kühl, Hjalmar, additional, Kühn, Ingolf, additional, Kuzemko, Anna, additional, Küzmič, Filip, additional, Landucci, Flavia, additional, Lee, Michael T., additional, Levesley, Aurora, additional, Li, Ching‐Feng, additional, Liu, Hongyan, additional, Lopez‐Gonzalez, Gabriela, additional, Lysenko, Tatiana, additional, Macanović, Armin, additional, Mahdavi, Parastoo, additional, Manning, Peter, additional, Marcenò, Corrado, additional, Martynenko, Vassiliy, additional, Mencuccini, Maurizio, additional, Minden, Vanessa, additional, Moeslund, Jesper Erenskjold, additional, Moretti, Marco, additional, Müller, Jonas V., additional, Munzinger, Jérôme, additional, Niinemets, Ülo, additional, Nobis, Marcin, additional, Noroozi, Jalil, additional, Nowak, Arkadiusz, additional, Onyshchenko, Viktor, additional, Overbeck, Gerhard E., additional, Ozinga, Wim A., additional, Pauchard, Anibal, additional, Pedashenko, Hristo, additional, Peñuelas, Josep, additional, Pérez‐Haase, Aaron, additional, Peterka, Tomáš, additional, Petřík, Petr, additional, Phillips, Oliver L., additional, Prokhorov, Vadim, additional, Rašomavičius, Valerijus, additional, Revermann, Rasmus, additional, Rodwell, John, additional, Ruprecht, Eszter, additional, Rūsiņa, Solvita, additional, Samimi, Cyrus, additional, Schaminée, Joop H.J., additional, Schmiedel, Ute, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Škvorc, Željko, additional, Smyth, Anita, additional, Sop, Tenekwetche, additional, Sopotlieva, Desislava, additional, Sparrow, Ben, additional, Stančić, Zvjezdana, additional, Svenning, Jens‐Christian, additional, Swacha, Grzegorz, additional, Tang, Zhiyao, additional, Tsiripidis, Ioannis, additional, Turtureanu, Pavel Dan, additional, Uğurlu, Emin, additional, Uogintas, Domas, additional, Valachovič, Milan, additional, Vanselow, Kim André, additional, Vashenyak, Yulia, additional, Vassilev, Kiril, additional, Vélez‐Martin, Eduardo, additional, Venanzoni, Roberto, additional, Vibrans, Alexander Christian, additional, Violle, Cyrille, additional, Virtanen, Risto, additional, von Wehrden, Henrik, additional, Wagner, Viktoria, additional, Walker, Donald A., additional, Wana, Desalegn, additional, Weiher, Evan, additional, Wesche, Karsten, additional, Whitfeld, Timothy, additional, Willner, Wolfgang, additional, Wiser, Susan, additional, Wohlgemuth, Thomas, additional, Yamalov, Sergey, additional, Zizka, Georg, additional, and Zverev, Andrei, additional

Published
2019
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45. Summer roadside vegetation dominated by Sorghum halepensein peninsular Italy: survey and classification

Author

Fanfarillo, Emanuele, Zangari, Giulio, Küzmič, Filip, Fiaschi, Tiberio, Bonari, Gianmaria, and Angiolini, Claudia

Abstract

Sorghum halepenseis a synanthropic tall grass distributed worldwide from tropical to temperate zones, and it is often considered an invasive alien. It is a perennial, rhizomatous plant that tends to form dense stands derived from vegetative and sexual propagation. Despite roadside plant communities dominated by Sorghum halepenseare very common in southern Europe, their phytosociological aspects are scarcely studied. In this work, we present the results of a vegetation survey in peninsular Italy, carried out by means of the phytosociological method. In total, we carried out 73 relevés in Liguria, Tuscany, Latium, Campania, Basilicata, and Apulia. We statistically compared our relevés to those from the Balkans classified in the Cynodonto-Sorghetumhalepensis, an association of agricultural annual weed vegetation of the class Stellarietea mediaes.l. used in the past as a reference for Italian S. halepense-dominated communities. Our results show that the Italian communities are different from the Cynodonto–Sorghetum halepensiscommunities, since the latter are rich in annual species, while the former are rich in perennial species. From the syntaxonomic point of view, the Italian communities are better classified in the class Artemisietea vulgaris. We describe the new (sub-)ruderal association Potentillo reptantis–Sorghetum halepensis, including a meso-hygrophilous variant with Urtica dioicaand an agricultural variant with Elymus repens. We have evidence that the Potentillo–Sorghetumoccurs in Italy, Kosovo and Slovenia, but its distribution is possibly wider due to conspicuous presence of cosmopolitan species characterizing the association. Our work provides a baseline for the knowledge of an alien-dominated plant community that can invade habitats with high conservation value.

Published
2022
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46. The biogeography of alien plant invasions in the Mediterranean Basin.

Author

Pinna, Luigi Cao, Axmanová, Irena, Chytrý, Milan, Malavasi, Marco, Acosta, Alicia T. R., Giulio, Silvia, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Antonio Campos, Juan, Font, Xavier, Küzmič, Filip, Landucci, Flavia, Marcenò, Corrado, Pilar Rodríguez-Rojo, Maria, and Carboni, Marta

Subjects
INTRODUCED plants, BIOGEOGRAPHY, INTRODUCED species, PLANT species, PLANT invasions, PLANT diversity
Abstract

Aims: Humans have deeply eroded biogeographic barriers, causing a rapid spread of alien species across biomes. The Mediterranean Basin is a biodiversity hotspot but is also known as a hub of alien plant invasions, particularly in its European part. Yet, a comprehensive inventory of alien species in the area is missing and understanding of the drivers of Mediterranean invasions is poor. Here, we aim to identify the main alien plant species in the European part of the Mediterranean Basin and quantify their invasion success in order to understand the plant species flows from other biomes of the world. Location: The Mediterranean region of Europe, Anatolia and Cyprus. Methods: We analyzed 130,000 georeferenced vegetation plots from the European Vegetation Archive (EVA) and identified 299 extra-European alien plant species. We identified their biomes of origin and quantified the mean geographic distance, trade exchange and climatic similarity from each biome to the study area. After estimating the invasion success of each species in the study area, we tested which biomes have donated more alien species than expected by chance and which drivers best explain these non-random patterns. Results: We found that other Mediterranean climatic regions, as well as temperate and xeric biomes of the world, are the main donors of successful alien species to Mediterranean Europe, beyond what would be expected by chance. Our results suggest that climatic matching, rather than geographic proximity or trade, has been the most important driver of invasion. However, climatic pre-adaptation alone also does not appear to predict the invasion success of established species in the study area. Conclusions: Our results highlight the need to pay special attention to alien plant species from the same or climatically similar biomes, but also suggest that further research is needed for early screening of the most problematic alien species. [ABSTRACT FROM AUTHOR]

Published
2021
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50. Reviving of Coenonympha oedippus: A comprehensive approach to the reintroduction of an endangered European butterfly.

Author

Čelik, Tatjana, Kralj‐Fišer, Simona, Šilc, Urban, Küzmič, Filip, and Vreš, Branko

Subjects
*ENDANGERED species, *HOST plants, *CORPORATION reports, *PRESERVATION of architecture, *GOVERNMENT agencies
Abstract

In this study, we focus on Coenonympha oedippus, an endangered butterfly species protected under Annexes II and IV of the EU Habitats Directive. Predominantly inhabiting semi‐open wet grasslands across Europe, this species also occupies abandoned sub‐Mediterranean dry grasslands. Ecological distinctiveness in its habitat use is reflected in differences in larval host plants, wing morphology and genetic composition, resulting in two ecotypes: wet and dry. Notably, by 2018, only one population of the wet ecotype survived in Slovenia, necessitating reintroduction as a critical strategy to avert its national extinction. Building on our conservation objectives, we implemented a 5‐year project (2018–2022) to develop protocols for source individual and substrate collection, ex situ breeding in semi‐natural conditions, thorough release and post‐release monitoring. Our efforts included breeding from 18 females, yielding 754 eggs in a breeding house. From these, we successfully reared and released 460 individuals, comprising 419 pupae and 41 butterflies. The project culminated with promising outcomes: the reintroduced population exhibited an 87% growth rate, while the source population, following its last reinforcement, showed a 79% increase. The project success can be attributed to a comprehensive understanding of species' ecological requirements and the establishment of a long‐term management plan. Key to our approach was adaptive management, which allowed for flexibility and refinement of protocols during implementation. Meticulous documentation and evaluation of all project activities were instrumental, culminating in the production of standardised annual reports. Additionally, the project was bolstered by strong collaboration among scientists, site managers, government agencies and national media. [ABSTRACT FROM AUTHOR]

Published
2024
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