104 results on '"Kavgacı, Ali"'
Search Results
2. Species distribution models of Brant's oak (Quercus brantii Lindl.): The impact of spatial database on predicting the impacts of climate change
- Author
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Mirhashemi, Hengameh, Heydari, Mehdi, Ahmadi, Kourosh, Karami, Omid, Kavgaci, Ali, Matsui, Tetsuya, and Heung, Brandon
- Published
- 2023
- Full Text
- View/download PDF
3. The Diversity and Gradient of Sand-Dune Vegetation at Kasatura Bay: A Plant Biodiversity Hotspot in European Türkiye
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Oral, Dilek, primary, Kavgacı, Ali, additional, and Efe, Asuman, additional
- Published
- 2024
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4. Forest Fires and Sustainability in the Mediterranean Ecosystems
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Tecimen, Hüseyin Barış, Kavgacı, Ali, Sevgi, Orhan, Öztürk, Münir, editor, Altay, Volkan, editor, and Efe, Recep, editor
- Published
- 2021
- Full Text
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5. Structural, ecological and biogeographical attributes of European vegetation alliances
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Preislerová, Zdenka, Marcenò, Corrado, Loidi, Javier, Bonari, Gianmaria, Borovyk, Dariia, Gavilán, Rosario G., Golub, Valentin, Terzi, Massimo, Theurillat, Jean‐Paul, Argagnon, Olivier, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Dengler, Jürgen, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Fernández‐González, Federico, Guarino, Riccardo, Hájek, Ondřej, Iakushenko, Dmytro, Iemelianova, Svitlana, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kuzemko, Anna, Landucci, Flavia, Lososová, Zdeňka, Milanović, Đorđije, Molina, José Antonio, Monteiro‐Henriques, Tiago, Mucina, Ladislav, Novák, Pavel, Nowak, Arkadiusz, Pätsch, Ricarda, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Reczyńska, Kamila, Rūsiņa, Solvita, Mata, Daniel Sánchez, Guerra, Arnoldo Santos, Šibík, Jozef, Škvorc, Željko, Stešević, Danijela, Stupar, Vladimir, Świerkosz, Krzysztof, Tzonev, Rossen, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Chytrý, Milan, Preislerová, Zdenka, Marcenò, Corrado, Loidi, Javier, Bonari, Gianmaria, Borovyk, Dariia, Gavilán, Rosario G., Golub, Valentin, Terzi, Massimo, Theurillat, Jean‐Paul, Argagnon, Olivier, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Dengler, Jürgen, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Fernández‐González, Federico, Guarino, Riccardo, Hájek, Ondřej, Iakushenko, Dmytro, Iemelianova, Svitlana, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kuzemko, Anna, Landucci, Flavia, Lososová, Zdeňka, Milanović, Đorđije, Molina, José Antonio, Monteiro‐Henriques, Tiago, Mucina, Ladislav, Novák, Pavel, Nowak, Arkadiusz, Pätsch, Ricarda, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Reczyńska, Kamila, Rūsiņa, Solvita, Mata, Daniel Sánchez, Guerra, Arnoldo Santos, Šibík, Jozef, Škvorc, Željko, Stešević, Danijela, Stupar, Vladimir, Świerkosz, Krzysztof, Tzonev, Rossen, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, and Chytrý, Milan
- Abstract
The data set described in this article is published on the publisher's webpage as Appendix S1. Future versions of this data set will be available online in the Download section of the FloraVeg.EU database (https://floraveg.eu/download/) and in the Zenodo repository (https://doi.org/10.5281/zenodo.10563021)., The first comprehensive phytosociological classification of all vegetation types in Europe (EuroVegChecklist; Applied Vegetation Science, 2016, 19, 3–264) contained brief descriptions of each type. However, these descriptions were not standardized and mentioned only the most distinct features of each vegetation type. The practical application of the vegetation classification system could be enhanced if users had the option to select sets of vegetation types based on various combinations of structural, ecological, and biogeographical attributes. Based on a literature review and expert knowledge, we created a new database that assigns standardized categorical attributes of 12 variables to each of the 1106 alliances dominated by vascular plants defined in EuroVegChecklist. These variables include dominant life form, phenological optimum, substrate moisture, substrate reaction, salinity, nutrient status, soil organic matter, vegetation region, elevational vegetation belt, azonality, successional status and naturalness. The new database has the potential to enhance the usefulness of phytosociological classification for researchers and practitioners and to help understand this classification to non-specialists.
- Published
- 2024
6. Structural, ecological and biogeographical attributes of European vegetation alliances
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Preislerová, Zdenka, primary, Marcenò, Corrado, additional, Loidi, Javier, additional, Bonari, Gianmaria, additional, Borovyk, Dariia, additional, Gavilán, Rosario G., additional, Golub, Valentin, additional, Terzi, Massimo, additional, Theurillat, Jean‐Paul, additional, Argagnon, Olivier, 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, Dengler, Jürgen, additional, Didukh, Yakiv, additional, Dítě, Daniel, additional, Fanelli, Giuliano, additional, Fernández‐González, Federico, additional, Guarino, Riccardo, additional, Hájek, Ondřej, additional, Iakushenko, Dmytro, additional, Iemelianova, Svitlana, additional, Jansen, Florian, additional, Jašková, Anni, additional, Jiroušek, Martin, additional, Kalníková, Veronika, additional, Kavgacı, Ali, additional, Kuzemko, Anna, additional, Landucci, Flavia, additional, Lososová, Zdeňka, additional, Milanović, Đorđije, additional, Molina, José Antonio, additional, Monteiro‐Henriques, Tiago, additional, Mucina, Ladislav, additional, Novák, Pavel, additional, Nowak, Arkadiusz, additional, Pätsch, Ricarda, additional, Perrin, Gwenhael, additional, Peterka, Tomáš, additional, Rašomavičius, Valerijus, additional, Reczyńska, Kamila, additional, Rūsiņa, Solvita, additional, Mata, Daniel Sánchez, additional, Guerra, Arnoldo Santos, additional, Šibík, Jozef, additional, Škvorc, Željko, additional, Stešević, Danijela, additional, Stupar, Vladimir, additional, Świerkosz, Krzysztof, additional, Tzonev, Rossen, additional, Vassilev, Kiril, additional, Vynokurov, Denys, additional, Willner, Wolfgang, additional, and Chytrý, Milan, additional
- Published
- 2024
- Full Text
- View/download PDF
7. Classification of forest and shrubland vegetation in central and eastern Euxine Turkey and SW Georgia
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Kavgacı, Ali, primary, Karaköse, Mustafa, additional, Keleş, Emine Seda, additional, Balpınar, Neslihan, additional, Arslan, Münevver, additional, Yalçın, Erkan, additional, Novák, Pavel, additional, and Čarni, Andraž, additional
- Published
- 2023
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8. Different Ecological Niches of Poisonous Aristolochia clematitis in Central and Marginal Distribution Ranges—Another Contribution to a Better Understanding of Balkan Endemic Nephropathy
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Brzić, Ivan, primary, Brener, Magdalena, additional, Čarni, Andraž, additional, Ćušterevska, Renata, additional, Čulig, Borna, additional, Dziuba, Tetiana, additional, Golub, Valentin, additional, Irimia, Irina, additional, Jelaković, Bojan, additional, Kavgacı, Ali, additional, Krstivojević Ćuk, Mirjana, additional, Krstonošić, Daniel, additional, Stupar, Vladimir, additional, Trobonjača, Zlatko, additional, and Škvorc, Željko, additional
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- 2023
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9. Classification of European beech forests: a Gordian Knot?
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Willner, Wolfgang, Jiménez-Alfaro, Borja, Agrillo, Emiliano, Biurrun, Idoia, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Csiky, János, Ćušterevska, Renata, Didukh, Yakiv P., Ewald, Jörg, Jandt, Ute, Jansen, Florian, Kącki, Zygmunt, Kavgacı, Ali, Lenoir, Jonathan, Marinšek, Aleksander, Onyshchenko, Viktor, Rodwell, John S., Schaminée, Joop H.J., Šibík, Jozef, Škvorc, Željko, Svenning, Jens-Christian, Tsiripidis, Ioannis, Turtureanu, Pavel Dan, Tzonev, Rossen, Vassilev, Kiril, Venanzoni, Roberto, Wohlgemuth, Thomas, and Chytrý, Milan
- Published
- 2017
10. Recent land-use and land-cover changes and its driving factors in a fire-prone area of southwestern Turkey
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Viedma, Olga, Moreno, José M., Güngöroglu, Cumhur, Cosgun, Ufuk, and Kavgacı, Ali
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- 2017
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11. Mediterranean fire weather and restoration perspectives in a changing climate.
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Gallo, Carolina, Bacciu, Valentina, Bedhiaf, Sahbi, Dieppois, Bastien, Fulé, Peter, Kavgacı, Ali, Steil, Lara, and Eden, Jonathan
- Subjects
MEDITERRANEAN diet ,FOREST restoration ,CLIMATE change - Published
- 2024
12. Ellenberg-type indicator values for European vascular plant species
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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
13. Ellenberg‐type indicator values for European vascular plant species
- Author
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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
14. European Vegetation Archive (EVA): an integrated database of European vegetation plots
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Chytrý, Milan, Hennekens, Stephan M., Jiménez-Alfaro, Borja, Knollová, Ilona, Dengler, Jürgen, Jansen, Florian, Landucci, Flavia, Schaminée, Joop H.J., Aćić, Svetlana, Agrillo, Emiliano, Ambarli, Didem, Angelini, Pierangela, Apostolova, Iva, Attorre, Fabio, Berg, Christian, Bergmeier, Erwin, Biurrun, Idoia, Botta-Dukát, Zoltán, Brisse, Henry, Campos, Juan Antonio, Carlón, Luis, Čarni, Andraž, Casella, Laura, Csiky, János, Ćušterevska, Renata, Stevanović, Zora Dajić, Danihelka, Jiří, De Bie, Els, de Ruffray, Patrice, DeSanctis, Michele, Dickoré, W. Bernhard, Dimopoulos, Panayotis, Dubyna, Dmytro, Dziuba, Tetiana, Ejrnæs, Rasmus, Ermakov, Nikolai, Ewald, Jörg, Fanelli, Giuliano, Fernández-González, Federico, FitzPatrick, Úna, Font, Xavier, García-Mijangos, Itziar, Gavilán, Rosario G., Golub, Valentin, Guarino, Riccardo, Haveman, Rense, Indreica, Adrian, Gürsoy, Deniz Işik, Jandt, Ute, Janssen, John A.M., Jiroušek, Martin, Kącki, Zygmunt, Kavgaci, Ali, Kleikamp, Martin, Kolomiychuk, Vitaliy, Ćuk, Mirjana Krstivojević, Krstonošić, Daniel, Kuzemko, Anna, Lenoir, Jonathan, Lysenko, Tatiana, Marcenò, Corrado, Martynenko, Vassiliy, Michalcová, Dana, Moeslund, Jesper Erenskjold, Onyshchenko, Viktor, Pedashenko, Hristo, Pérez-Haase, Aaron, Peterka, Tomáš, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez-Rojo, Maria Pilar, Rodwell, John S., Rogova, Tatiana, Ruprecht, Eszter, Rūsiņa, Solvita, Seidler, Gunnar, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Sopotlieva, Desislava, Stančić, Zvjezdana, Svenning, Jens-Christian, Swacha, Grzegorz, Tsiripidis, Ioannis, Dan Turtureanu, Pavel, Uğurlu, Emin, Uogintas, Domas, Valachovič, Milan, Vashenyak, Yulia, Vassilev, Kiril, Venanzoni, Roberto, Virtanen, Risto, Weekes, Lynda, Willner, Wolfgang, Wohlgemuth, Thomas, and Yamalov, Sergey
- Published
- 2016
15. Ellenberg‐type indicator values for European vascular plant species
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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
- Full Text
- View/download PDF
16. Distribution maps of vegetation alliances in Europe
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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
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- 2022
17. Distribution maps of vegetation alliances in Europe
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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
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- 2022
18. Ellenberg-type indicator values for European vascular plant species
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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).
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- 2022
19. 'Back to the Future'—Oak wood-pasture for wildfire prevention in the Mediterranean
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Bergmeier, Erwin, Capelo, Jorge, Di Pietro, Romeo, Guarino, Riccardo, Kavgacı, Ali, Loidi, Javier, Tsiripidis, Ioannis, and Xystrakis, Fotios
- Subjects
oak ,forest management ,fire prevention ,Mediterranean Basin ,pine forest ,biomass reduction ,forest fire ,wood pasture - Abstract
In the summer of 2021, enormous wildfires in the Mediterranean eliminated huge areas of mainly coniferous forest, destroyed adjacent settlements and claimed the lives of many people. The fires indicate effects of climate change and expose consequences of rural demographic changes, deficits in regional and touristic development planning and shortcomings in forest policy. This forum article highlights the dimensions of the problem, calls for a paradigm shift and shows solutions. Land abandonment, woody plant encroachment and non-reflective afforestation are leading to increasing amounts of combustible biomass. To prevent disastrous fires in future, fundamental changes in tree species composition, forest structure and management are essential. Plantations of reseeding pines are to be substituted by spacious or periodically open woodlands of long-lived trees with resprouting capacity such as Mediterranean oaks. Biomass-reducing practices including wood-pasture have to be revived in rural and peri-urban areas. Exemplary fire-resistant multifunctional oak woodlands occur throughout the Mediterranean. Urgent and medium-term measures in the burnt areas include promoting natural ecosystem regeneration, developing regionalized seed banks and nurseries to support native genetic resources, fostering vegetation mosaics of groves and multiple-use open and coppice woodland maintained by traditional practices, and in general forest management aiming at fuel biomass reduction and a policy counteracting land abandonment.
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- 2021
20. Distribution maps of vegetation alliances in Europe
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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
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- 2022
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21. ‘Back to the Future’—Oak wood-pasture for wildfire prevention in the Mediterranean
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Bergmeier, Erwin, primary, Capelo, Jorge, additional, Di Pietro, Romeo, additional, Guarino, Riccardo, additional, Kavgacı, Ali, additional, Loidi, Javier, additional, Tsiripidis, Ioannis, additional, and Xystrakis, Fotios, additional
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- 2021
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22. Life‐form diversity across temperate deciduous forests of Western Eurasia: A different story in the understory
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Loidi, Javier, primary, Chytrý, Milan, additional, Jiménez‐Alfaro, Borja, additional, Alessi, Nicola, additional, Biurrun, Idoia, additional, Campos, Juan Antonio, additional, Čarni, Andraž, additional, Fernández‐Pascual, Eduardo, additional, Font Castell, Xavier, additional, Gholizadeh, Hamid, additional, Indreica, Adrian, additional, Kavgacı, Ali, additional, Knollová, Ilona, additional, Naqinezhad, Alireza, additional, Novák, Pavel, additional, Nowak, Arkadiusz, additional, Škvorc, Željko, additional, Tsiripidis, Ioannis, additional, Vassilev, Kiril, additional, and Marcenò, Corrado, additional
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- 2021
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23. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots
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Sabatini, Francesco Maria, primary, Lenoir, Jonathan, additional, Hattab, Tarek, additional, Arnst, Elise Aimee, additional, Chytrý, Milan, additional, Dengler, Jürgen, additional, De Ruffray, Patrice, additional, Hennekens, Stephan M., additional, Jandt, Ute, additional, Jansen, Florian, additional, Jiménez‐Alfaro, Borja, additional, Kattge, Jens, additional, Levesley, Aurora, additional, Pillar, Valério D., additional, Purschke, Oliver, additional, Sandel, Brody, additional, Sultana, Fahmida, additional, Aavik, Tsipe, additional, Aćić, Svetlana, additional, Acosta, Alicia T. R., additional, Agrillo, Emiliano, additional, Alvarez, Miguel, additional, Apostolova, Iva, additional, Arfin Khan, Mohammed A. S., additional, Arroyo, Luzmila, additional, Attorre, Fabio, additional, Aubin, Isabelle, additional, Banerjee, Arindam, additional, Bauters, Marijn, additional, Bergeron, Yves, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Bjorkman, Anne D., additional, Bonari, Gianmaria, additional, Bondareva, Viktoria, additional, Brunet, Jörg, additional, Čarni, Andraž, additional, Casella, Laura, additional, Cayuela, Luis, additional, Černý, Tomáš, additional, Chepinoga, Victor, additional, Csiky, János, additional, Ćušterevska, Renata, additional, De Bie, Els, additional, Gasper, André Luis, additional, De Sanctis, Michele, additional, Dimopoulos, Panayotis, additional, Dolezal, Jiri, additional, Dziuba, Tetiana, additional, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, additional, Enquist, Brian, additional, Ewald, Jörg, additional, Fazayeli, Farideh, additional, Field, Richard, additional, Finckh, Manfred, additional, Gachet, Sophie, additional, Galán‐de‐Mera, Antonio, additional, Garbolino, Emmanuel, additional, Gholizadeh, Hamid, additional, Giorgis, Melisa, additional, Golub, Valentin, additional, Alsos, Inger Greve, additional, Grytnes, John‐Arvid, additional, Guerin, Gregory Richard, additional, Gutiérrez, Alvaro G., additional, Haider, Sylvia, additional, Hatim, Mohamed Z., additional, Hérault, Bruno, additional, Hinojos Mendoza, Guillermo, additional, Hölzel, Norbert, additional, Homeier, Jürgen, additional, Hubau, Wannes, additional, Indreica, Adrian, additional, Janssen, John A. M., additional, Jedrzejek, Birgit, additional, Jentsch, Anke, additional, Jürgens, Norbert, additional, Kącki, Zygmunt, additional, Kapfer, Jutta, additional, Karger, Dirk Nikolaus, additional, Kavgacı, Ali, additional, Kearsley, Elizabeth, additional, Kessler, Michael, additional, Khanina, Larisa, additional, Killeen, Timothy, additional, Korolyuk, Andrey, additional, Kreft, Holger, additional, Kühl, Hjalmar S., additional, Kuzemko, Anna, additional, Landucci, Flavia, additional, Lengyel, Attila, additional, Lens, Frederic, additional, Lingner, Débora Vanessa, additional, Liu, Hongyan, additional, Lysenko, Tatiana, additional, Mahecha, Miguel D., additional, Marcenò, Corrado, additional, Martynenko, Vasiliy, additional, Moeslund, Jesper Erenskjold, additional, Monteagudo Mendoza, Abel, additional, Mucina, Ladislav, additional, Müller, Jonas V., additional, Munzinger, Jérôme, additional, Naqinezhad, Alireza, additional, Noroozi, Jalil, additional, Nowak, Arkadiusz, additional, Onyshchenko, Viktor, additional, Overbeck, Gerhard E., additional, Pärtel, Meelis, additional, Pauchard, Aníbal, additional, Peet, Robert K., additional, Peñuelas, Josep, additional, Pérez‐Haase, Aaron, additional, Peterka, Tomáš, additional, Petřík, Petr, additional, Peyre, Gwendolyn, additional, Phillips, Oliver L., additional, Prokhorov, Vadim, additional, Rašomavičius, Valerijus, additional, Revermann, Rasmus, additional, Rivas‐Torres, Gonzalo, additional, Rodwell, John S., additional, Ruprecht, Eszter, additional, Rūsiņa, Solvita, additional, Samimi, Cyrus, additional, Schmidt, Marco, additional, Schrodt, Franziska, additional, Shan, Hanhuai, additional, Shirokikh, Pavel, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Sklenář, Petr, additional, Škvorc, Željko, additional, Sparrow, Ben, additional, Sperandii, Marta Gaia, additional, Stančić, Zvjezdana, additional, Svenning, Jens‐Christian, additional, Tang, Zhiyao, additional, Tang, Cindy Q., additional, Tsiripidis, Ioannis, additional, Vanselow, Kim André, additional, Vásquez Martínez, Rodolfo, additional, Vassilev, Kiril, additional, Vélez‐Martin, Eduardo, additional, Venanzoni, Roberto, additional, Vibrans, Alexander Christian, additional, Violle, Cyrille, additional, Virtanen, Risto, additional, Wehrden, Henrik, additional, Wagner, Viktoria, additional, Walker, Donald A., additional, Waller, Donald M., additional, Wang, Hua‐Feng, additional, Wesche, Karsten, additional, Whitfeld, Timothy J. S., additional, Willner, Wolfgang, additional, Wiser, Susan K., additional, Wohlgemuth, Thomas, additional, Yamalov, Sergey, additional, Zobel, Martin, additional, Bruelheide, Helge, additional, and Bates, Amanda, additional
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- 2021
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24. Climate and socio‐economic factors explain differences between observed and expected naturalization patterns of European plants around the world
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Pouteau, Robin, primary, Thuiller, Wilfried, additional, Hobohm, Carsten, additional, Brunel, Caroline, additional, Conn, Barry J., additional, Dawson, Wayne, additional, Sá Dechoum, Michele, additional, Ebel, Aleksandr L., additional, Essl, Franz, additional, Fragman‐Sapir, Ori, additional, Fristoe, Trevor, additional, Jogan, Nejc, additional, Kreft, Holger, additional, Lenzner, Bernd, additional, Meyer, Carsten, additional, Pergl, Jan, additional, Pyšek, Petr, additional, Verkhozina, Alla, additional, Weigelt, Patrick, additional, Yang, Qiang, additional, Zykova, Elena, additional, Aćić, Svetlana, additional, Agrillo, Emiliano, additional, Attorre, Fabio, additional, Bergamini, Ariel, additional, Berg, Christian, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Boch, Steffen, additional, Bonari, Gianmaria, additional, Botta‐Dukát, Zoltán, additional, Bruelheide, Helge, additional, Campos, Juan Antonio, additional, Čarni, Andraž, additional, Casella, Laura, additional, Carranza, Maria Laura, additional, Chytrý, Milan, additional, Ćušterevska, Renata, additional, De Sanctis, Michele, additional, Dengler, Jürgen, additional, Dimopoulos, Panayotis, additional, Ejrnæs, Rasmus, additional, Ewald, Jörg, additional, Fanelli, Giuliano, additional, Fernández‐González, Federico, additional, Gavilán, Rosario G., additional, Gegout, Jean‐Claude, additional, Haveman, Rense, additional, Isermann, Maike, additional, Jandt, Ute, additional, Jansen, Florian, additional, Jiménez‐Alfaro, Borja, additional, Kavgacı, Ali, additional, Khanina, Larisa, additional, Knollová, Ilona, additional, Kuzemko, Anna, additional, Lebedeva, Maria, additional, Lenoir, Jonathan, additional, Lysenko, Tatiana, additional, Marcenò, Corrado, additional, Martynenko, Vasiliy, additional, Moeslund, Jesper Erenskjold, additional, Pätsch, Ricarda, additional, Pielech, Remigiusz, additional, Rašomavičius, Valerijus, additional, Ronde, Iris, additional, Ruprecht, Eszter, additional, Rūsiņa, Solvita, additional, Shirokikh, Pavel, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Stanisci, Angela, additional, Stančić, Zvjezdana, additional, Svenning, Jens‐Christian, additional, Swacha, Grzegorz, additional, Dan Turtureanu, Pavel, additional, Valachovič, Milan, additional, Vassilev, Kiril, additional, Yamalov, Sergey, additional, and Kleunen, Mark, additional
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- 2021
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25. Climate and socio‐economic factors explain differences between observed and expected naturalization patterns of European plants around the world
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Pouteau, Robin, Thuiller, Wilfried, Hobohm, Carsten, Brunel, Caroline, Conn, Barry J., Dawson, Wayne, Sá Dechoum, Michele, Ebel, Aleksandr L., Essl, Franz, Fragman‐Sapir, Ori, Fristoe, Trevor, Jogan, Nejc, Kreft, Holger, Lenzner, Bernd, Meyer, Carsten, Pergl, Jan, Pyšek, Petr, Verkhozina, Alla, Weigelt, Patrick, Yang, Qiang, Zykova, Elena, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergamini, Ariel, Berg, Christian, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Botta‐Dukát, Zoltán, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Carranza, Maria Laura, Chytrý, Milan, Ćušterevska, Renata, De Sanctis, Michele, Dengler, Jürgen, Dimopoulos, Panayotis, Ejrnæs, Rasmus, Ewald, Jörg, Fanelli, Giuliano, Fernández‐González, Federico, Gavilán, Rosario G., Gegout, Jean‐Claude, Haveman, Rense, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kavgacı, Ali, Khanina, Larisa, Knollová, Ilona, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Marcenò, Corrado, Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Pätsch, Ricarda, Pielech, Remigiusz, Rašomavičius, Valerijus, de Ronde, Iris, Ruprecht, Eszter, Rūsiņa, Solvita, Shirokikh, Pavel, Šibík, Jozef, Šilc, Urban, Stanisci, Angela, Stančić, Zvjezdana, Svenning, Jens‐Christian, Swacha, Grzegorz, Dan Turtureanu, Pavel, Valachovič, Milan, Vassilev, Kiril, Yamalov, Sergey, van Kleunen, Mark, Pouteau, Robin, Thuiller, Wilfried, Hobohm, Carsten, Brunel, Caroline, Conn, Barry J., Dawson, Wayne, Sá Dechoum, Michele, Ebel, Aleksandr L., Essl, Franz, Fragman‐Sapir, Ori, Fristoe, Trevor, Jogan, Nejc, Kreft, Holger, Lenzner, Bernd, Meyer, Carsten, Pergl, Jan, Pyšek, Petr, Verkhozina, Alla, Weigelt, Patrick, Yang, Qiang, Zykova, Elena, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergamini, Ariel, Berg, Christian, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Botta‐Dukát, Zoltán, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Carranza, Maria Laura, Chytrý, Milan, Ćušterevska, Renata, De Sanctis, Michele, Dengler, Jürgen, Dimopoulos, Panayotis, Ejrnæs, Rasmus, Ewald, Jörg, Fanelli, Giuliano, Fernández‐González, Federico, Gavilán, Rosario G., Gegout, Jean‐Claude, Haveman, Rense, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kavgacı, Ali, Khanina, Larisa, Knollová, Ilona, Kuzemko, Anna, Lebedeva, Maria, Lenoir, Jonathan, Lysenko, Tatiana, Marcenò, Corrado, Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Pätsch, Ricarda, Pielech, Remigiusz, Rašomavičius, Valerijus, de Ronde, Iris, Ruprecht, Eszter, Rūsiņa, Solvita, Shirokikh, Pavel, Šibík, Jozef, Šilc, Urban, Stanisci, Angela, Stančić, Zvjezdana, Svenning, Jens‐Christian, Swacha, Grzegorz, Dan Turtureanu, Pavel, Valachovič, Milan, Vassilev, Kiril, Yamalov, Sergey, and van Kleunen, Mark
- Abstract
Aim: The number of naturalized (i.e. established) alien species has increased rapidly over recent centuries. Given the differences in environmental tolerances among species, little is known about what factors determine the extent to which the observed size of the naturalized range of a species and hence the extent to which the observed richness of naturalized species of a region approach their full potential. Here, we asked which region-and species-specific characteristics explain differences between observed and expected naturalizations. Location: Global. Time period: Present. Major taxa studied: Vascular plants. Methods: We determined the observed naturalized distribution outside Europe for 1,485 species endemic to Europe using the Global Naturalized Alien Flora (GloNAF) database and their expected distributions outside Europe using species distribution models. First, we investigated which of seven socio-economic factors related to introduction pathways, anthropogenic pressures and inventory effort best explained the differences between observed and expected naturalized European floras. Second, we examined whether distributional features, economic use and functional traits explain the extent to which species have filled their expected ranges outside Europe. Results: In terms of suitable area, more than 95% of expected naturalizations of European plants were not yet observed. Species were naturalized in only 4.2% of their suitable regions outside of Europe (range filling) and in 0.4% of their unsuitable regions (range expansion). Anthropogenic habitat disturbance primarily explained the difference between observed and expected naturalized European floras, as did the number of treaties relevant to invasive species. Species of ornamental and economic value and with large specific leaf area performed better at filling and expanding beyond their expected range. Main conclusions: The naturalization of alien plant species is explained by climate matching but also by the
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- 2021
26. sPlotOpen : an environmentally balanced, open‐access, global dataset of vegetation plots
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Sabatini, Francesco Maria, Lenoir, Jonathan, Hattab, Tarek, Arnst, Elise Aimee, Chytrý, Milan, Dengler, Jürgen, De Ruffray, Patrice, Hennekens, Stephan M., Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kattge, Jens, Levesley, Aurora, Pillar, Valério D., Purschke, Oliver, Sandel, Brody, Sultana, Fahmida, Aavik, Tsipe, Aćić, Svetlana, Acosta, Alicia T. R., Agrillo, Emiliano, Alvarez, Miguel, Apostolova, Iva, Arfin Khan, Mohammed A. S., Arroyo, Luzmila, Attorre, Fabio, Aubin, Isabelle, Banerjee, Arindam, Bauters, Marijn, Bergeron, Yves, Bergmeier, Erwin, Biurrun, Idoia, Bjorkman, Anne D., Bonari, Gianmaria, Bondareva, Viktoria, Brunet, Jörg, Čarni, Andraž, Casella, Laura, Cayuela, Luis, Černý, Tomáš, Chepinoga, Victor, Csiky, János, Ćušterevska, Renata, De Bie, Els, Gasper, André Luis, De Sanctis, Michele, Dimopoulos, Panayotis, Dolezal, Jiri, Dziuba, Tetiana, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, Enquist, Brian, Ewald, Jörg, Fazayeli, Farideh, Field, Richard, Finckh, Manfred, Gachet, Sophie, Galán‐de‐Mera, Antonio, Garbolino, Emmanuel, Gholizadeh, Hamid, Giorgis, Melisa, Golub, Valentin, Alsos, Inger Greve, Grytnes, John‐Arvid, Guerin, Gregory Richard, Gutiérrez, Alvaro G., Haider, Sylvia, Hatim, Mohamed Z., Hérault, Bruno, Hinojos Mendoza, Guillermo, Hölzel, Norbert, Homeier, Jürgen, Hubau, Wannes, Indreica, Adrian, Janssen, John A. M., Jedrzejek, Birgit, Jentsch, Anke, Jürgens, Norbert, Kącki, Zygmunt, Kapfer, Jutta, Karger, Dirk Nikolaus, Kavgacı, Ali, Kearsley, Elizabeth, Kessler, Michael, Khanina, Larisa, Killeen, Timothy, Korolyuk, Andrey, Kreft, Holger, Kühl, Hjalmar S., Kuzemko, Anna, Landucci, Flavia, Lengyel, Attila, Lens, Frederic, Lingner, Débora Vanessa, Liu, Hongyan, Lysenko, Tatiana, Mahecha, Miguel D., Marcenò, Corrado, Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Monteagudo Mendoza, Abel, Mucina, Ladislav, Müller, Jonas V., Munzinger, Jérôme, Naqinezhad, Alireza, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Pärtel, Meelis, Pauchard, Aníbal, Peet, Robert K., Peñuelas, Josep, Pérez‐Haase, Aaron, Peterka, Tomáš, Petřík, Petr, Peyre, Gwendolyn, Phillips, Oliver L., Prokhorov, Vadim, Rašomavičius, Valerijus, Revermann, Rasmus, Rivas‐Torres, Gonzalo, Rodwell, John S., Ruprecht, Eszter, Rūsiņa, Solvita, Samimi, Cyrus, Schmidt, Marco, Schrodt, Franziska, Shan, Hanhuai, Shirokikh, Pavel, Šibík, Jozef, Šilc, Urban, Sklenář, Petr, Škvorc, Željko, Sparrow, Ben, Sperandii, Marta Gaia, Stančić, Zvjezdana, Svenning, Jens‐Christian, Tang, Zhiyao, Tang, Cindy Q., Tsiripidis, Ioannis, Vanselow, Kim André, Vásquez Martínez, Rodolfo, Vassilev, Kiril, Vélez‐Martin, Eduardo, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, Wehrden, Henrik, Wagner, Viktoria, Walker, Donald A., Waller, Donald M., Wang, Hua‐Feng, Wesche, Karsten, Whitfeld, Timothy J. S., Willner, Wolfgang, Wiser, Susan K., Wohlgemuth, Thomas, Yamalov, Sergey, Zobel, Martin, Bruelheide, Helge, Sabatini, Francesco Maria, Lenoir, Jonathan, Hattab, Tarek, Arnst, Elise Aimee, Chytrý, Milan, Dengler, Jürgen, De Ruffray, Patrice, Hennekens, Stephan M., Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kattge, Jens, Levesley, Aurora, Pillar, Valério D., Purschke, Oliver, Sandel, Brody, Sultana, Fahmida, Aavik, Tsipe, Aćić, Svetlana, Acosta, Alicia T. R., Agrillo, Emiliano, Alvarez, Miguel, Apostolova, Iva, Arfin Khan, Mohammed A. S., Arroyo, Luzmila, Attorre, Fabio, Aubin, Isabelle, Banerjee, Arindam, Bauters, Marijn, Bergeron, Yves, Bergmeier, Erwin, Biurrun, Idoia, Bjorkman, Anne D., Bonari, Gianmaria, Bondareva, Viktoria, Brunet, Jörg, Čarni, Andraž, Casella, Laura, Cayuela, Luis, Černý, Tomáš, Chepinoga, Victor, Csiky, János, Ćušterevska, Renata, De Bie, Els, Gasper, André Luis, De Sanctis, Michele, Dimopoulos, Panayotis, Dolezal, Jiri, Dziuba, Tetiana, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, Enquist, Brian, Ewald, Jörg, Fazayeli, Farideh, Field, Richard, Finckh, Manfred, Gachet, Sophie, Galán‐de‐Mera, Antonio, Garbolino, Emmanuel, Gholizadeh, Hamid, Giorgis, Melisa, Golub, Valentin, Alsos, Inger Greve, Grytnes, John‐Arvid, Guerin, Gregory Richard, Gutiérrez, Alvaro G., Haider, Sylvia, Hatim, Mohamed Z., Hérault, Bruno, Hinojos Mendoza, Guillermo, Hölzel, Norbert, Homeier, Jürgen, Hubau, Wannes, Indreica, Adrian, Janssen, John A. M., Jedrzejek, Birgit, Jentsch, Anke, Jürgens, Norbert, Kącki, Zygmunt, Kapfer, Jutta, Karger, Dirk Nikolaus, Kavgacı, Ali, Kearsley, Elizabeth, Kessler, Michael, Khanina, Larisa, Killeen, Timothy, Korolyuk, Andrey, Kreft, Holger, Kühl, Hjalmar S., Kuzemko, Anna, Landucci, Flavia, Lengyel, Attila, Lens, Frederic, Lingner, Débora Vanessa, Liu, Hongyan, Lysenko, Tatiana, Mahecha, Miguel D., Marcenò, Corrado, Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Monteagudo Mendoza, Abel, Mucina, Ladislav, Müller, Jonas V., Munzinger, Jérôme, Naqinezhad, Alireza, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Pärtel, Meelis, Pauchard, Aníbal, Peet, Robert K., Peñuelas, Josep, Pérez‐Haase, Aaron, Peterka, Tomáš, Petřík, Petr, Peyre, Gwendolyn, Phillips, Oliver L., Prokhorov, Vadim, Rašomavičius, Valerijus, Revermann, Rasmus, Rivas‐Torres, Gonzalo, Rodwell, John S., Ruprecht, Eszter, Rūsiņa, Solvita, Samimi, Cyrus, Schmidt, Marco, Schrodt, Franziska, Shan, Hanhuai, Shirokikh, Pavel, Šibík, Jozef, Šilc, Urban, Sklenář, Petr, Škvorc, Željko, Sparrow, Ben, Sperandii, Marta Gaia, Stančić, Zvjezdana, Svenning, Jens‐Christian, Tang, Zhiyao, Tang, Cindy Q., Tsiripidis, Ioannis, Vanselow, Kim André, Vásquez Martínez, Rodolfo, Vassilev, Kiril, Vélez‐Martin, Eduardo, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, Wehrden, Henrik, Wagner, Viktoria, Walker, Donald A., Waller, Donald M., Wang, Hua‐Feng, Wesche, Karsten, Whitfeld, Timothy J. S., Willner, Wolfgang, Wiser, Susan K., Wohlgemuth, Thomas, Yamalov, Sergey, Zobel, Martin, and Bruelheide, Helge
- Abstract
Motivation: Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01–40,000 m². Time period and grain: 1888–2015, recording dates. Major taxa and level of measurement: 42,677
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- 2021
27. Classification of forest and shrubland vegetation in Mediterranean Turkey
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Kavgacı, Ali, primary, Balpınar, Neslihan, additional, Öner, Hafize Handan, additional, Arslan, Münevver, additional, Bonari, Gianmaria, additional, Chytrý, Milan, additional, and Čarni, Andraž, additional
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- 2021
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28. Effects of regenerative cutting on the height growth of Turkey oak (Quercus cerris L.) saplings
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Kavgacı, Ali, Örtel, Erdal, Alan, Murat, Çobanoğlu, Abdurrahman, and Ege Üniversitesi
- Subjects
[No Keywords] ,0-Belirlenecek - Abstract
Turkey oak (Quercus cerris) is distributed at the northern, western and southern Anatolia in Turkey. Although these forests are managed by shelterwood systems, degraded forests are subjected to artificial regeneration. in this context, the mature Turkey oak stands in Sipahiler Forests sub-district affiliated Sütçüler Forest District Directorate in Isparta, which did not have natural regeneration conditions, were artificially regenerated by acorn point sowing under the stand shelter. Although the regeneration was successful, the seedlings did not realize sufficient growth. in this context, regenerative cuttings (1- cutting all saplings in the plots from just above the ground level, 2- Cutting saplings from 10 cm height above the ground level, 3- Leaving only one individual at the each sowing plot (excluding the lateral stems) and pruning, 4-Leaving only one individual at the each sowing plot (excluding the lateral stems) without pruning and 5- Control without any cutting and pruning) were applied to the saplings and the 4 years’ height growths of saplings were measured. the treatments were realized just before the vegetation period of 2014 and first measurements were done after the cuttings. To determine the height increment, second measurements were carried out after the vegetation period of 2017. As a result of these measurements, the height growth increment for each treatment was realized as follow: 75.25 cm for the saplings cut from ground level, 61.98 cm for the saplings cut from 10 cm height from ground level, 33.62 cm for the saplings of thinned and pruning, 32.80 cm for the saplings of thinned without pruning and 32.80 for the saplings of control. in final, the height growth of regenerative cutting saplings reached to those which were not subjected to cuttings. These results showed that regenerative cutting is promising to foster the growth of Turkey oak saplings. But for a better understanding, longer observation is needed to see the growth differences between the saplings subjected to regenerative cuttings and others, since the height of regenerative cutting saplings is not higher than the others yet. Keywords: artificial regeneration, degradation, sapling, sprouting
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- 2020
29. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats
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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
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- 2020
30. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats
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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
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- 2020
31. EUNIS-ESy: Expert system for automatic classification of European vegetation plots to EUNIS habitats
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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
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32. Classification of the Mediterranean lowland to submontane pine forest vegetation
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Bonari, Gianmaria, primary, Fernández‐González, Federico, additional, Çoban, Süleyman, additional, Monteiro‐Henriques, Tiago, additional, Bergmeier, Erwin, additional, Didukh, Yakiv P., additional, Xystrakis, Fotios, additional, Angiolini, Claudia, additional, Chytrý, Kryštof, additional, Acosta, Alicia T.R., additional, Agrillo, Emiliano, additional, Costa, José C., additional, Danihelka, Jiří, additional, Hennekens, Stephan M., additional, Kavgacı, Ali, additional, Knollová, Ilona, additional, Neto, Carlos S., additional, Sağlam, Coşkun, additional, Škvorc, Željko, additional, Tichý, Lubomír, additional, and Chytrý, Milan, additional
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- 2021
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33. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats
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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
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- 2020
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34. Urban vegetation of the Anatolian side of Istanbul
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Altay, Volkan, primary, Šilc, Urban, additional, Yarcı, Celal, additional, Kavgacı, Ali, additional, Čarni, Andraž, additional, and Ozturk, Munir, additional
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- 2020
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35. Antalya ve Eğirdir orman fidanlıklarında bazı yabancı ot mücadele yöntemlerinin fidan gelişimi ve fidanlık maliyetlerine etkileri
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Kavgacı, Ali, Yılmaz, Ersin, Coşgun, Ufuk, Erkan, Serpil, Çobanoğlu, Abdurrahman, Coşgun, Selma, Yazlık, Ayşe, and [Belirlenecek]
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[No Keywords] - Abstract
Bu çalışma ile Toros sediri (Cedrus libani A. Rich.) ve kızılçam (Pinus brutia Ten.) fidan üretim alanlarında sorun olan yabancı otlarile mücadelede herbisit ve solarizasyon uygulamalarının fidan gelişimlerine, fidan yaşama oranlarına ve fidanlık maliyetlerine etkileribelirlenmiştir. Araştırma Eğirdir ve Antalya Orman Fidanlıklarında gerçekleştirilmiştir. Çalışmalarda üç farklı etken maddeye sahipherbisitler ve solarizasyon uygulamaları yer almıştır. Uygulamalarınmaliyet analizleri aynı fidanlıklarda uygulanan mekanik mücadeleyöntemi ile karşılaştırılarak yapılmıştır. Herbisit uygulamaları sonucunda yabancı otlarda kontrol sağlanmış olsa da uygulamaların Torossediri ve kızılçam fidan gelişimi ve yaşam oranlarını düşürdüğü belirlenmiştir. Solarizasyon uygulaması ise yabancı otların örtme derecesini çok yüksek oranda etkilemezken, fidan gelişimi ve yaşamaoranlarında artış tespit edilmiştir. Maliyet analizi sonucunda ise herbisit uygulamalarının fidanlık maliyetlerini azalttığı belirlenmiştir.Çalışma genel olarak değerlendirildiğinde; orman fidanlıklarında yabancı otlardan kaynaklanan yüksek maliyet değerlerinin düşürülmesiiçin herbisit kullanımının ekonomik olacağı ancak bu aşamada fidansayısı ve gelişimi üzerindeki olumsuz etkilerinden dolayı bir öneride bulunulamayacağı sonucuna varılmıştır. Bu nedenle fidanlıklardaruhsatlı herbisitlerin kullanımına yönelik araştırmalara devam edilmesi gereklidir. In this work, the effects of herbicides and solarization on weeds at Taurus cedar (Cedrus libani A. Rich.) and Turkish red pine (Pinus brutia Ten.) seedling beds were observed, their effects on seedling emergences and growths were measured and they were assessed in terms of nursery costs. The studies were realized at Eğirdir and Antalya Forest Nurseries. The applications were carried out with three different herbicides including different active substances and solarization. Cost analysis of these applications were done by comparing them with the costs of mechanical treatments. Although herbicides generally affected the occurrence and coverage of weeds, the results were negative in terms of seedling emergences and growths of Taurus cedar and Turkish red pine seedlings. Solarization did not affect the coverage of weeds significantly whereas an increase at seedling emergence and growth was determined. In terms of cost analysis, it was seen that herbicide applications decrease the nursery costs. For a general assessment, to reduce the nursery costs, herbicide applications would be more economic than mechanical applications but at this stage it would not be possible to suggest any herbicide due to their negative effects on seedling survival and growth. At this context, researches with licensed herbicides should be increased to see their positive effects on seedling emergence and growth.
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- 2019
36. sPlot : a new tool for global vegetation analyses
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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.
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- 2019
37. Scale‐dependent intraspecific competition of Taurus cedar ( Cedrus libani A. Rich.) saplings in the Southern Turkey
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Yılmaz, Osman Yalçın, primary, Kavgacı, Ali, additional, Sevgi, Orhan, additional, Örtel, Erdal, additional, Tecimen, Hüseyin Barış, additional, Çobanoğlu, Abdurrahman, additional, and Yeşil, İsmet, additional
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- 2019
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38. sPlot – A new tool for global vegetation analyses
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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
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- 2019
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39. Applicability of European landscape typology in Turkey (Çakırlar Watershed case/Antalya)
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Güngöroğlu, Cumhur, primary, Kavgacı, Ali, additional, Coşgun, Ufuk, additional, Çalıkoğlu, Mehmet, additional, Örtel, Erdal, additional, and Balpınar, Neslihan, additional
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- 2017
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40. Nomenclatural remarks to the classification of plant communities along post-fire succession
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Kavgacı, Ali, primary, Šilc, Urban, additional, Bașaran, Saime, additional, Marinšek, Aleksander, additional, Bașaran, Mehmet Ali, additional, Košir, Petra, additional, Balpinar, Neslihan, additional, Arslan, Münevver, additional, Denli, Özge, additional, and Čarni, Andraž, additional
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- 2017
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41. Peyzaj Tiplerinin ve Fonksiyonlarının Belirlenerek Uygulama Olanaklarının İrdelenmesi (Antalya İli Çakırlar Örneği)
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Güngöroglu, Cumhur, Kavgacı, Ali, Cosgun, Ufuk, Çalıkoğlu, Mehmet, Örtel, Erdal, and BALPINAR, Neslihan
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- 2015
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42. Ecology and syntaxonomy of Colchic forests in south-western Georgia (Caucasus region).
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Novák, Pavel, Zukal, Dominik, Kalníková, Veronika, Chytrý, Kryštof, and Kavgacı, Ali
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VEGETATION classification ,SHRUBS ,HARDWOOD forests ,HARDWOODS ,FOREST plants ,TROPICAL dry forests ,ECOLOGY - Abstract
Aim: The aim of the paper is to describe species composition, ecology and syntaxonomy of unique mesophilous forests in Georgian Colchis in the context of the Euxinian forests. Location: SW Georgia, western part of the Caucasus Region, slopes of the Lesser Caucasus (80-990 m). Methods: Forest vegetation was sampled following the Braun-Blanquet approach and basic environmental characteristics were recorded for each relevé (n = 53). The dataset was clustered using modified TWINSPAN and diagnostic species for each cluster were defined by phi fidelity index. Links between the species composition of vegetation and environmental factors were analysed by detrended correspondence analysis. Numerical comparison of the distinguished clusters with previously published associations from northern Turkey was carried out (expanded dataset, n = 173). Results: Among the new relevés, we distinguished three vegetation types subsequently described as new associations: (i) Digitali schischkinii-Carpinetum betuli, chestnut-hornbeam forests of slightly dry sites, with low cover of evergreen shrubs, (ii) Rusco colchici-Castaneetum sativae, chestnut-hornbeam forests with a dense evergreen shrub layer, and (iii) Polysticho woronowii-Ulmetum glabrae, ravine forests with noble hardwood trees and ravine forest specialists. These associations were classified to the alliances of Euxinian forests, the first two to Castaneo-Carpinion and the third to Alnion barbatae. Major turnover in species composition within the dataset followed gradients of rockiness, slope inclination, altitude and mean annual temperature. The analysis of the expanded dataset revealed a decreasing occurrence of Mediterranean species and an increasing number of fern species along an easterly gradient. This change in species composition is likely to be driven by macroclimatic gradients. Conclusions: This paper presents the first numerical comparison of chestnut-hornbeam and ravine forests across central and eastern parts of the Euxinian Province. Our results have highlighted the uniqueness of Georgian Colchic forests, described as new associations, in the context of Euxinian forest vegetation. [ABSTRACT FROM AUTHOR]
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- 2019
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43. Estimation of forest litter fractions by regression analysis in different aged stands of Pinus nigra.
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Tecimen, Hüseyin Barış, Sevgi, Orhan, Yılmaz, Osman Yalçın, Carus, Serdar, Kavgacı, Ali, and Akburak, Serdar
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FOREST litter ,FOREST soils ,REGRESSION analysis ,AUSTRIAN pine ,CARBON sequestration in forests - Abstract
Copyright of Bosque (03048799) is the property of Facultad de Ciencias Forestales, Universidad Austral de Chile 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.)
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- 2019
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44. Applicability of European landscape typology in Turkey (Çakırlar Watershed case/Antalya).
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Güngöroğlu, Cumhur, Coşgun, Ufuk, Kavgacı, Ali, Çalıkoğlu, Mehmet, Örtel, Erdal, and Balpınar, Neslihan
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LANDSCAPES ,BIODIVERSITY ,INDUSTRIALIZATION ,URBANIZATION ,FOREST fires - Abstract
The aim of this study is to put forward Turkey as a case study of the applicability of the European approach to landscape characterisation studies at the local scale within the context of the European Landscape Convention. For this purpose, a classification of landscape types with the help of LANMAP typology is suggested at the European scale in a basin in Turkey where there are obvious differences in terms of landscape characteristics. In particular, this study examines the usability of a countrywide thematic database when making this classification. It is understood that a mapping system as well as a common nomenclature of types of land covered at the country scale is insufficient for the suggested methodology for Europe. Later, results of the continuation of a classification system at the local scale for landscape characterisation are discussed, and some deficiencies of LANMAP when characterising the landscapes at this scale are mentioned. [ABSTRACT FROM AUTHOR]
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- 2018
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45. European Vegetation Archive (EVA): an integrated database of European vegetation plots
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Chytrý, Milan, primary, Hennekens, Stephan M., additional, Jiménez‐Alfaro, Borja, additional, Knollová, Ilona, additional, Dengler, Jürgen, additional, Jansen, Florian, additional, Landucci, Flavia, additional, Schaminée, Joop H.J., additional, Aćić, Svetlana, additional, Agrillo, Emiliano, additional, Ambarlı, Didem, additional, Angelini, Pierangela, additional, Apostolova, Iva, additional, Attorre, Fabio, additional, Berg, Christian, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Botta‐Dukát, Zoltán, additional, Brisse, Henry, additional, Campos, Juan Antonio, additional, Carlón, Luis, additional, Čarni, Andraž, additional, Casella, Laura, additional, Csiky, János, additional, Ćušterevska, Renata, additional, Dajić Stevanović, Zora, additional, Danihelka, Jiří, additional, De Bie, Els, additional, de Ruffray, Patrice, additional, De Sanctis, Michele, additional, Dickoré, W. Bernhard, additional, Dimopoulos, Panayotis, additional, Dubyna, Dmytro, additional, Dziuba, Tetiana, additional, Ejrnæs, Rasmus, additional, Ermakov, Nikolai, additional, Ewald, Jörg, additional, Fanelli, Giuliano, additional, Fernández‐González, Federico, additional, FitzPatrick, Úna, additional, Font, Xavier, additional, García‐Mijangos, Itziar, additional, Gavilán, Rosario G., additional, Golub, Valentin, additional, Guarino, Riccardo, additional, Haveman, Rense, additional, Indreica, Adrian, additional, Işık Gürsoy, Deniz, additional, Jandt, Ute, additional, Janssen, John A.M., additional, Jiroušek, Martin, additional, Kącki, Zygmunt, additional, Kavgacı, Ali, additional, Kleikamp, Martin, additional, Kolomiychuk, Vitaliy, additional, Krstivojević Ćuk, Mirjana, additional, Krstonošić, Daniel, additional, Kuzemko, Anna, additional, Lenoir, Jonathan, additional, Lysenko, Tatiana, additional, Marcenò, Corrado, additional, Martynenko, Vassiliy, additional, Michalcová, Dana, additional, Moeslund, Jesper Erenskjold, additional, Onyshchenko, Viktor, additional, Pedashenko, Hristo, additional, Pérez‐Haase, Aaron, additional, Peterka, Tomáš, additional, Prokhorov, Vadim, additional, Rašomavičius, Valerijus, additional, Rodríguez‐Rojo, Maria Pilar, additional, Rodwell, John S., additional, Rogova, Tatiana, additional, Ruprecht, Eszter, additional, Rūsiņa, Solvita, additional, Seidler, Gunnar, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Škvorc, Željko, additional, Sopotlieva, Desislava, additional, Stančić, Zvjezdana, additional, Svenning, Jens‐Christian, additional, Swacha, Grzegorz, additional, Tsiripidis, Ioannis, additional, Turtureanu, Pavel Dan, additional, Uğurlu, Emin, additional, Uogintas, Domas, additional, Valachovič, Milan, additional, Vashenyak, Yulia, additional, Vassilev, Kiril, additional, Venanzoni, Roberto, additional, Virtanen, Risto, additional, Weekes, Lynda, additional, Willner, Wolfgang, additional, Wohlgemuth, Thomas, additional, and Yamalov, Sergey, additional
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- 2015
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46. Long-term post-fire succession of Pinus brutia forest in the east Mediterranean
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Kavgacı, Ali, primary, Čarni, Andraž, additional, Başaran, Saime, additional, Başaran, Mehmet Ali, additional, Košir, Petra, additional, Marinšek, Aleksander, additional, and Šilc, Urban, additional
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- 2010
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47. Socioeconomic Factors Affecting Forest Fires: A Case Study of Antalya, Turkey.
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Coşgun, Ufuk, Kavgacı, Ali, Güngöroğlu, Cumhur, and González-Cabán, Armando
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WILDFIRES ,FOREST fires ,SOCIOECONOMIC factors ,FOREST fire management ,FIRE management ,SERVICE industries ,PANEL analysis - Abstract
The Mediterranean part of Turkey (Southern and Western Anatolia) is intensively subjected to forest fires. Within this region the Antalya province places first in terms of area burnt with an annual area of 2633 ha for the period of 2000-2009. Additionally, the biggest forest fire in the history of the Turkey Republic; with an area of about 15000 ha, occurred in Antalya in 2008. Because of the fire problem in this region special attention is given to forest fire management works in Antalya. This situation makes it necessary to observe and understand the structure of, and the reasons for, forest fire occurrence. Socioeconomic factors are relevant in determining the root causes forest fires. For example, for the years 2000-2009 only 11% of all fires in Turkey were classified as resulting from natural causes (i.e. lightning). The rest of the fires (89%) were classified as resulting from negligence, intentional, carelessness, accidental or unknown causes. The majority of causes are strictly related to socio-economic factors. The main goal of this work was to defining the relationships between forest fires and socio-economic factors in Antalya. The forests cover in Antalya is about one million hectares that are managed by twelve governmental forest enterprises. The socio-economic data used for the analysis in this work were obtained from those twelve enterprises. For the analysis we used a total 28 of socio-economic factors components for 3 periods: 1980-1990, 1990-2000, and 2000-2010; and fire statistics between the periods of 1980-2010. Panel Data was used for the Analyzes. Results show a significant correlation between area burnt and socioeconomic factors like the proportion of population working in agriculture and service sectors, unemployment rate, population and illegal cutting. Similarly, number of fires is statistically significantly correlated with the proportion of working population in the service sector, population, illegal cutting and grazing. The relevance of these socioeconomic factors is important for fire management in the region; and highlights the need to incorporate them in any new fire management policy for the region and the country. [ABSTRACT FROM AUTHOR]
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- 2019
48. Factores Socioeconómicos que Afectan a los Incendios Forestales: Un Estudio de Caso de Antalya, Turquía.
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Coşgun, Ufuk, Kavgacı, Ali, Güngöroğlu, Cumhur, and González-Cabán, Armando
- Abstract
Copyright of General Technical Report - Pacific Southwest Research Station, USDA Forest Service is the property of U.S. Department of Agriculture, Pacific Northwest Research Station 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.)
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- 2019
49. EUNIS Habitat Classification : expert system, characteristic species combinations and distribution maps of European habitats
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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.
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Coastal habitat ,Distribution map ,15. Life on land ,Dune vegetation ,Grassland ,Habitat classification ,Vegetation plot ,Shrubland ,Diagnostic species ,Man‐made habitat ,Vegetation database ,Wetland ,14. Life underwater ,Forest ,577: Ökologie ,European Nature Information System (EUNIS) ,Expert system ,European Vegetation Archive (EVA) - 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 system EUNISESy. The data provided and the expert system have considerable potential for future use in European nature conservation planning, monitoring and assessment.
50. sPlotOpen : an environmentally balanced, open‐access, global dataset of vegetation plots
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Sabatini, Francesco Maria, Lenoir, Jonathan, Hattab, Tarek, Arnst, Elise Aimee, Chytrý, Milan, Dengler, Jürgen, De Ruffray, Patrice, Hennekens, Stephan M., Jandt, Ute, Jansen, Florian, Jiménez‐Alfaro, Borja, Kattge, Jens, Levesley, Aurora, Pillar, Valério D., Purschke, Oliver, Sandel, Brody, Sultana, Fahmida, Aavik, Tsipe, Aćić, Svetlana, Acosta, Alicia T. R., Agrillo, Emiliano, Alvarez, Miguel, Apostolova, Iva, Arfin Khan, Mohammed A. S., Arroyo, Luzmila, Attorre, Fabio, Aubin, Isabelle, Banerjee, Arindam, Bauters, Marijn, Bergeron, Yves, Bergmeier, Erwin, Biurrun, Idoia, Bjorkman, Anne D., Bonari, Gianmaria, Bondareva, Viktoria, Brunet, Jörg, Čarni, Andraž, Casella, Laura, Cayuela, Luis, Černý, Tomáš, Chepinoga, Victor, Csiky, János, Ćušterevska, Renata, De Bie, Els, Gasper, André Luis, De Sanctis, Michele, Dimopoulos, Panayotis, Dolezal, Jiri, Dziuba, Tetiana, El‐Sheikh, Mohamed Abd El‐Rouf Mousa, Enquist, Brian, Ewald, Jörg, Fazayeli, Farideh, Field, Richard, Finckh, Manfred, Gachet, Sophie, Galán‐de‐Mera, Antonio, Garbolino, Emmanuel, Gholizadeh, Hamid, Giorgis, Melisa, Golub, Valentin, Alsos, Inger Greve, Grytnes, John‐Arvid, Guerin, Gregory Richard, Gutiérrez, Alvaro G., Haider, Sylvia, Hatim, Mohamed Z., Hérault, Bruno, Hinojos Mendoza, Guillermo, Hölzel, Norbert, Homeier, Jürgen, Hubau, Wannes, Indreica, Adrian, Janssen, John A. M., Jedrzejek, Birgit, Jentsch, Anke, Jürgens, Norbert, Kącki, Zygmunt, Kapfer, Jutta, Karger, Dirk Nikolaus, Kavgacı, Ali, Kearsley, Elizabeth, Kessler, Michael, Khanina, Larisa, Killeen, Timothy, Korolyuk, Andrey, Kreft, Holger, Kühl, Hjalmar S., Kuzemko, Anna, Landucci, Flavia, Lengyel, Attila, Lens, Frederic, Lingner, Débora Vanessa, Liu, Hongyan, Lysenko, Tatiana, Mahecha, Miguel D., Marcenò, Corrado, Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Monteagudo Mendoza, Abel, Mucina, Ladislav, Müller, Jonas V., Munzinger, Jérôme, Naqinezhad, Alireza, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Pärtel, Meelis, Pauchard, Aníbal, Peet, Robert K., Peñuelas, Josep, Pérez‐Haase, Aaron, Peterka, Tomáš, Petřík, Petr, Peyre, Gwendolyn, Phillips, Oliver L., Prokhorov, Vadim, Rašomavičius, Valerijus, Revermann, Rasmus, Rivas‐Torres, Gonzalo, Rodwell, John S., Ruprecht, Eszter, Rūsiņa, Solvita, Samimi, Cyrus, Schmidt, Marco, Schrodt, Franziska, Shan, Hanhuai, Shirokikh, Pavel, Šibík, Jozef, Šilc, Urban, Sklenář, Petr, Škvorc, Željko, Sparrow, Ben, Sperandii, Marta Gaia, Stančić, Zvjezdana, Svenning, Jens‐Christian, Tang, Zhiyao, Tang, Cindy Q., Tsiripidis, Ioannis, Vanselow, Kim André, Vásquez Martínez, Rodolfo, Vassilev, Kiril, Vélez‐Martin, Eduardo, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, Wehrden, Henrik, Wagner, Viktoria, Walker, Donald A., Waller, Donald M., Wang, Hua‐Feng, Wesche, Karsten, Whitfeld, Timothy J. S., Willner, Wolfgang, Wiser, Susan K., Wohlgemuth, Thomas, Yamalov, Sergey, Zobel, Martin, and Bruelheide, Helge
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Database ,Functional trait ,Vascular plant ,Big data ,580: Pflanzen (Botanik) ,Biogeography ,Biodiversity ,15. Life on land ,577: Ökologie ,Macroecology ,Vegetation plot - Abstract
Motivation: Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring. Main types of variable contained: Vegetation plots (n = 95,104) recording cover or abundance of naturally co-occurring vascular plant species within delimited areas. sPlotOpen contains three partially overlapping resampled datasets (c. 50,000 plots each), to be used as replicates in global analyses. Besides geographical location, date, plot size, biome, elevation, slope, aspect, vegetation type, naturalness, coverage of various vegetation layers, and source dataset, plot-level data also include community-weighted means and variances of 18 plant functional traits from the TRY Plant Trait Database. Spatial location and grain: Global, 0.01–40,000 m². Time period and grain: 1888–2015, recording dates. Major taxa and level of measurement: 42,677 vascular plant taxa, plot-level records. Software format: Three main matrices (.csv), relationally linked.
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