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4. Climate-trait relationships exhibit strong habitat specificity in plant communities across Europe

Author

Kambach, Stephan, Sabatini, Francesco Maria, Attorre, Fabio, Biurrun, Idoia, Boenisch, Gerhard, Bonari, Gianmaria, Čarni, Andraž, Carranza, Maria Laura, Chiarucci, Alessandro, Chytrý, Milan, Dengler, Jürgen, Garbolino, Emmanuel, Golub, Valentin, Güler, Behlül, Jandt, Ute, Jansen, Jan, Jašková, Anni, Jiménez-Alfaro, Borja, Karger, Dirk Nikolaus, Kattge, Jens, Knollová, Ilona, Midolo, Gabriele, Moeslund, Jesper Erenskjold, Pielech, Remigiusz, Rašomavičius, Valerijus, Rūsiņa, Solvita, Šibík, Jozef, Stančić, Zvjezdana, Stanisci, Angela, Svenning, Jens-Christian, Yamalov, Sergey, Zimmermann, Niklaus E., and Bruelheide, Helge

Published
2023
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6. Potential alien ranges of European plants will shrink in the future, but less so for already naturalized than for not yet naturalized species

Author

Pouteau, Robin, Biurrun, Idoia, Brunel, Caroline, Chytrý, Milan, Dawson, Wayne, Essl, Franz, Fristoe, Trevor, Haveman, Rense, Hobohm, Carsten, Jansen, Florian, Kreft, Holger, Lenoir, Jonathan, Lenzner, Bernd, Meyer, Carsten, Moeslund, Jesper Erenskjold, Pergl, Jan, Pyšek, Petr, Svenning, Jens-Christian, Thuiller, Wilfried, Weigelt, Patrick, Wohlgemuth, Thomas, Yang, Qiang, and van Kleunen, Mark

Published
2021

7. Beta-diversity of Central European forests decreases along an elevational gradient due to the variation in local community assembly processes

Author

Sabatini, Francesco Maria, Jiménez-Alfaro, Borja, Burrascano, Sabina, Lora, Andrea, and Chytrý, Milan

Subjects
Quantitative Biology - Populations and Evolution
Abstract

Beta-diversity has been repeatedly shown to decline with increasing elevation, but the causes of this pattern remain unclear, partly because they are confounded by coincident variation in alpha- and gamma-diversity. We used 8,795 forest vegetation-plot records from the Czech National Phytosociological Database to compare the observed patterns of beta diversity to null-model expectations (beta-deviation) controlling for the effects of alpha- and gamma-diversity. We tested whether \b{eta}-diversity patterns along a 1,200 m elevation gradient exclusively depend on the effect of varying species pool size, or also on the variation of the magnitude of community assembly mechanisms determining the distribution of species across communities (e.g., environmental filtering, dispersal limitation). The null model we used is a novel extension of an existing null-model designed for presence/absence data and was specifically designed to disrupt the effect of community assembly mechanisms, while retaining some key features of observed communities such as average species richness and species abundance distribution. Analyses were replicated in ten subregions with comparable elevation ranges. Beta-diversity declined along the elevation gradient due to a decrease in gamma-diversity, which was steeper than the decrease in alpha-diversity. This pattern persisted after controlling for alpha- and gamma-diversity variation, and the results were robust when different resampling schemes and diversity metrics were used. We conclude that in temperate forests the pattern of decreasing beta-diversity with elevation does not exclusively depend on variation in species pool size, as has been hypothesized, but also on variation in community assembly mechanisms. The results were consistent across resampling schemes and diversity measures, thus supporting the use of vegetation plot databases for understanding..., Comment: Accepted version 25 pages, 5 figures, 1 table

Published
2018
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8. Dimensions of invasiveness : Links between local abundance, geographic range size, and habitat breadth in Europe’s alien and native floras

Author

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

Published
2021

9. Global patterns of vascular plant alpha diversity

Author

Sabatini, Francesco Maria, Jiménez-Alfaro, Borja, Jandt, Ute, Chytrý, Milan, Field, Richard, Kessler, Michael, Lenoir, Jonathan, Schrodt, Franziska, Wiser, Susan K., Arfin Khan, Mohammed A. S., Attorre, Fabio, Cayuela, Luis, De Sanctis, Michele, Dengler, Jürgen, Haider, Sylvia, Hatim, Mohamed Z., Indreica, Adrian, Jansen, Florian, Pauchard, Aníbal, Peet, Robert K., Petřík, Petr, Pillar, Valério D., Sandel, Brody, Schmidt, Marco, Tang, Zhiyao, van Bodegom, Peter, Vassilev, Kiril, Violle, Cyrille, Alvarez-Davila, Esteban, Davidar, Priya, Dolezal, Jiri, Hérault, Bruno, Galán-de-Mera, Antonio, Jiménez, Jorge, Kambach, Stephan, Kepfer-Rojas, Sebastian, Kreft, Holger, Lezama, Felipe, Linares-Palomino, Reynaldo, Monteagudo Mendoza, Abel, N’Dja, Justin K., Phillips, Oliver L., Rivas-Torres, Gonzalo, Sklenář, Petr, Speziale, Karina, Strohbach, Ben J., Vásquez Martínez, Rodolfo, Wang, Hua-Feng, Wesche, Karsten, and Bruelheide, Helge

Published
2022
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13. ReSurveyEurope : A database of resurveyed vegetation plots in Europe

Author

Knollová, Ilona, Chytrý, Milan, Bruelheide, Helge, Dullinger, Stefan, Jandt, Ute, Bernhardt-Römermann, Markus, Biurrun, Idoia, de Bello, Francesco, Glaser, Michael, Hennekens, Stephan, Jansen, Florian, Jiménez-Alfaro, Borja, Kadaš, Daniel, Kaplan, Ekin, Klinkovská, Klára, Lenzner, Bernd, Pauli, Harald, Sperandii, Marta Gaia, Verheyen, Kris, Winkler, Manuela, Abdaladze, Otar, Aćić, Svetlana, Acosta, Alicia T.R., Alignier, Audrey, Andrews, Christopher, Arlettaz, Raphaël, Attorre, Fabio, Axmanová, Irena, Babbi, Manuel, Baeten, Lander, Baran, Jakub, Barni, Elena, Benito-Alonso, José Luis, Berg, Christian, Bergamini, Ariel, Berki, Imre, Boch, Steffen, Bock, Barbara, Bode, Frank, Bonari, Gianmaria, Boublík, Karel, Britton, Andrea J., Brunet, Jörg, Bruzzaniti, Vanessa, Buholzer, Serge, Burrascano, Sabina, Campos, Juan A., Carlsson, Bengt Göran, Carranza, Maria Laura, Černý, Tomáš, Charmillot, Kévin, Chiarucci, Alessandro, Choler, Philippe, Chytrý, Kryštof, Corcket, Emmanuel, Csecserits, Anikó, Cutini, Maurizio, Czarniecka-Wiera, Marta, Danihelka, Jiří, de Francesco, Maria Carla, De Frenne, Pieter, Di Musciano, Michele, De Sanctis, Michele, Deák, Balázs, Decocq, Guillaume, Dembicz, Iwona, Dengler, Jürgen, Di Cecco, Valter, Dick, Jan, Diekmann, Martin, Dierschke, Hartmut, Dirnböck, Thomas, Doerfler, Inken, Doležal, Jiří, Döring, Ute, Durak, Tomasz, Dwyer, Ciara, Ejrnæs, Rasmus, Ermakova, Inna, Erschbamer, Brigitta, Fanelli, Giuliano, Fernández-Calzado, María Rosa, Fickert, Thomas, Fischer, Andrea, Fischer, Markus, Foremnik, Kacper, Frouz, Jan, García-González, Ricardo, García-Magro, Daniel, García-Mijangos, Itziar, Gavilán, Rosario G., Germ, Mateja, Ghosn, Dany, Gigauri, Khatuna, Gizela, Jaroslav, Golob, Aleksandra, Golub, Valentin, Gómez-García, Daniel, Gowing, David, Grytnes, John Arvid, Güler, Behlül, Gutiérrez-Girón, Alba, Haase, Peter, Haider, Sylvia, Hájek, Michal, Halassy, Melinda, Harásek, Martin, Härdtle, Werner, Heinken, Thilo, Hester, Alison, Humbert, Jean Yves, Ibáñez, Ricardo, Illa, Estela, Jaroszewicz, Bogdan, Jensen, Kai, Jentsch, Anke, Jiroušek, Martin, Kalníková, Veronika, Kanka, Róbert, Kapfer, Jutta, Kazakis, George, Kermavnar, Janez, Kesting, Stefan, Khanina, Larisa, Kindermann, Elisabeth, Kotrík, Marek, Koutecký, Tomáš, Kozub, Łukasz, Kuhn, Gisbert, Kutnar, Lado, La Montagna, Dario, Lamprecht, Andrea, Lenoir, Jonathan, Lepš, Jan, Leuschner, Christoph, Lorite, Juan, Madsen, Bjarke, Ugarte, Rosina Magaña, Malicki, Marek, Maliniemi, Tuija, Máliš, František, Maringer, Alexander, Marrs, Robert, Matesanz, Silvia, Metze, Katrin, Meyer, Stefan, Millett, Jonathan, Mitchell, Ruth J., Moeslund, Jesper Erenskjold, Moiseev, Pavel, di Cella, Umberto Morra, Mudrák, Ondřej, Müller, Frank, Müller, Norbert, Naaf, Tobias, Nagy, Laszlo, Napoleone, Francesca, Nascimbene, Juri, Navrátilová, Jana, Ninot, Josep M., Niu, Yujie, Normand, Signe, Ogaya, Romá, Onipchenko, Vladimir, Orczewska, Anna, Ortmann-Ajkai, Adrienne, Pakeman, Robin J., Pardo, Iker, Pätsch, Ricarda, Peet, Robert K., Penuelas, Josep, Peppler-Lisbach, Cord, Pérez-Hernández, Javier, Pérez-Haase, Aaron, Petraglia, Alessandro, Petřík, Petr, Pielech, Remigiusz, Piórkowski, Hubert, Pladevall-Izard, Eulàlia, Poschlod, Peter, Prach, Karel, Praleskouskaya, Safiya, Prokhorov, Vadim, Provoost, Sam, Pușcaș, Mihai, Pustková, Štěpánka, Randin, Christophe François, Rašomavičius, Valerijus, Reczyńska, Kamila, Rédei, Tamás, Řehounková, Klára, Richner, Nina, Risch, Anita C., Rixen, Christian, Rosbakh, Sergey, Roscher, Christiane, Rosenthal, Gert, Rossi, Graziano, Rötzer, Harald, Roux, Camille, Rumpf, Sabine B., Ruprecht, Eszter, Rūsiņa, Solvita, Sanz-Zubizarreta, Irati, Schindler, Meret, Schmidt, Wolfgang, Schories, Dirk, Schrautzer, Joachim, Schubert, Hendrik, Schuetz, Martin, Schwabe, Angelika, Schwaiger, Helena, Schwartze, Peter, Šebesta, Jan, Seiler, Hallie, Šilc, Urban, Silva, Vasco, Šmilauer, Petr, Šmilauerová, Marie, Sperle, Thomas, Stachurska-Swakoń, Alina, Stanik, Nils, Stanisci, Angela, Steffen, Kristina, Storm, Christian, Stroh, Hans Georg, Sugorkina, Nadezhda, Świerkosz, Krzysztof, Świerszcz, Sebastian, Szymura, Magdalena, Teleki, Balázs, Thébaud, Gilles, Theurillat, Jean Paul, Tichý, Lubomír, Treier, Urs A., Turtureanu, Pavel Dan, Ujházy, Karol, Ujházyová, Mariana, Ursu, Tudor Mihai, Uziębło, Aldona K., Valkó, Orsolya, Van Calster, Hans, Van Meerbeek, Koenraad, Vandevoorde, Bart, Vandvik, Vigdis, Varricchione, Marco, Vassilev, Kiril, Villar, Luis, Virtanen, Risto, Vittoz, Pascal, Voigt, Winfried, von Hessberg, Andreas, von Oheimb, Goddert, Wagner, Eva, Walther, Gian Reto, Wellstein, Camilla, Wesche, Karsten, Wilhelm, Markus, Willner, Wolfgang, Wipf, Sonja, Wittig, Burghard, Wohlgemuth, Thomas, Woodcock, Ben A., Wulf, Monika, Essl, Franz, Knollová, Ilona, Chytrý, Milan, Bruelheide, Helge, Dullinger, Stefan, Jandt, Ute, Bernhardt-Römermann, Markus, Biurrun, Idoia, de Bello, Francesco, Glaser, Michael, Hennekens, Stephan, Jansen, Florian, Jiménez-Alfaro, Borja, Kadaš, Daniel, Kaplan, Ekin, Klinkovská, Klára, Lenzner, Bernd, Pauli, Harald, Sperandii, Marta Gaia, Verheyen, Kris, Winkler, Manuela, Abdaladze, Otar, Aćić, Svetlana, Acosta, Alicia T.R., Alignier, Audrey, Andrews, Christopher, Arlettaz, Raphaël, Attorre, Fabio, Axmanová, Irena, Babbi, Manuel, Baeten, Lander, Baran, Jakub, Barni, Elena, Benito-Alonso, José Luis, Berg, Christian, Bergamini, Ariel, Berki, Imre, Boch, Steffen, Bock, Barbara, Bode, Frank, Bonari, Gianmaria, Boublík, Karel, Britton, Andrea J., Brunet, Jörg, Bruzzaniti, Vanessa, Buholzer, Serge, Burrascano, Sabina, Campos, Juan A., Carlsson, Bengt Göran, Carranza, Maria Laura, Černý, Tomáš, Charmillot, Kévin, Chiarucci, Alessandro, Choler, Philippe, Chytrý, Kryštof, Corcket, Emmanuel, Csecserits, Anikó, Cutini, Maurizio, Czarniecka-Wiera, Marta, Danihelka, Jiří, de Francesco, Maria Carla, De Frenne, Pieter, Di Musciano, Michele, De Sanctis, Michele, Deák, Balázs, Decocq, Guillaume, Dembicz, Iwona, Dengler, Jürgen, Di Cecco, Valter, Dick, Jan, Diekmann, Martin, Dierschke, Hartmut, Dirnböck, Thomas, Doerfler, Inken, Doležal, Jiří, Döring, Ute, Durak, Tomasz, Dwyer, Ciara, Ejrnæs, Rasmus, Ermakova, Inna, Erschbamer, Brigitta, Fanelli, Giuliano, Fernández-Calzado, María Rosa, Fickert, Thomas, Fischer, Andrea, Fischer, Markus, Foremnik, Kacper, Frouz, Jan, García-González, Ricardo, García-Magro, Daniel, García-Mijangos, Itziar, Gavilán, Rosario G., Germ, Mateja, Ghosn, Dany, Gigauri, Khatuna, Gizela, Jaroslav, Golob, Aleksandra, Golub, Valentin, Gómez-García, Daniel, Gowing, David, Grytnes, John Arvid, Güler, Behlül, Gutiérrez-Girón, Alba, Haase, Peter, Haider, Sylvia, Hájek, Michal, Halassy, Melinda, Harásek, Martin, Härdtle, Werner, Heinken, Thilo, Hester, Alison, Humbert, Jean Yves, Ibáñez, Ricardo, Illa, Estela, Jaroszewicz, Bogdan, Jensen, Kai, Jentsch, Anke, Jiroušek, Martin, Kalníková, Veronika, Kanka, Róbert, Kapfer, Jutta, Kazakis, George, Kermavnar, Janez, Kesting, Stefan, Khanina, Larisa, Kindermann, Elisabeth, Kotrík, Marek, Koutecký, Tomáš, Kozub, Łukasz, Kuhn, Gisbert, Kutnar, Lado, La Montagna, Dario, Lamprecht, Andrea, Lenoir, Jonathan, Lepš, Jan, Leuschner, Christoph, Lorite, Juan, Madsen, Bjarke, Ugarte, Rosina Magaña, Malicki, Marek, Maliniemi, Tuija, Máliš, František, Maringer, Alexander, Marrs, Robert, Matesanz, Silvia, Metze, Katrin, Meyer, Stefan, Millett, Jonathan, Mitchell, Ruth J., Moeslund, Jesper Erenskjold, Moiseev, Pavel, di Cella, Umberto Morra, Mudrák, Ondřej, Müller, Frank, Müller, Norbert, Naaf, Tobias, Nagy, Laszlo, Napoleone, Francesca, Nascimbene, Juri, Navrátilová, Jana, Ninot, Josep M., Niu, Yujie, Normand, Signe, Ogaya, Romá, Onipchenko, Vladimir, Orczewska, Anna, Ortmann-Ajkai, Adrienne, Pakeman, Robin J., Pardo, Iker, Pätsch, Ricarda, Peet, Robert K., Penuelas, Josep, Peppler-Lisbach, Cord, Pérez-Hernández, Javier, Pérez-Haase, Aaron, Petraglia, Alessandro, Petřík, Petr, Pielech, Remigiusz, Piórkowski, Hubert, Pladevall-Izard, Eulàlia, Poschlod, Peter, Prach, Karel, Praleskouskaya, Safiya, Prokhorov, Vadim, Provoost, Sam, Pușcaș, Mihai, Pustková, Štěpánka, Randin, Christophe François, Rašomavičius, Valerijus, Reczyńska, Kamila, Rédei, Tamás, Řehounková, Klára, Richner, Nina, Risch, Anita C., Rixen, Christian, Rosbakh, Sergey, Roscher, Christiane, Rosenthal, Gert, Rossi, Graziano, Rötzer, Harald, Roux, Camille, Rumpf, Sabine B., Ruprecht, Eszter, Rūsiņa, Solvita, Sanz-Zubizarreta, Irati, Schindler, Meret, Schmidt, Wolfgang, Schories, Dirk, Schrautzer, Joachim, Schubert, Hendrik, Schuetz, Martin, Schwabe, Angelika, Schwaiger, Helena, Schwartze, Peter, Šebesta, Jan, Seiler, Hallie, Šilc, Urban, Silva, Vasco, Šmilauer, Petr, Šmilauerová, Marie, Sperle, Thomas, Stachurska-Swakoń, Alina, Stanik, Nils, Stanisci, Angela, Steffen, Kristina, Storm, Christian, Stroh, Hans Georg, Sugorkina, Nadezhda, Świerkosz, Krzysztof, Świerszcz, Sebastian, Szymura, Magdalena, Teleki, Balázs, Thébaud, Gilles, Theurillat, Jean Paul, Tichý, Lubomír, Treier, Urs A., Turtureanu, Pavel Dan, Ujházy, Karol, Ujházyová, Mariana, Ursu, Tudor Mihai, Uziębło, Aldona K., Valkó, Orsolya, Van Calster, Hans, Van Meerbeek, Koenraad, Vandevoorde, Bart, Vandvik, Vigdis, Varricchione, Marco, Vassilev, Kiril, Villar, Luis, Virtanen, Risto, Vittoz, Pascal, Voigt, Winfried, von Hessberg, Andreas, von Oheimb, Goddert, Wagner, Eva, Walther, Gian Reto, Wellstein, Camilla, Wesche, Karsten, Wilhelm, Markus, Willner, Wolfgang, Wipf, Sonja, Wittig, Burghard, Wohlgemuth, Thomas, Woodcock, Ben A., Wulf, Monika, and Essl, Franz

Abstract

Aims: We introduce ReSurveyEurope — a new data source of resurveyed vegetation plots in Europe, compiled by a collaborative network of vegetation scientists. We describe the scope of this initiative, provide an overview of currently available data, governance, data contribution rules, and accessibility. In addition, we outline further steps, including potential research questions. Results: ReSurveyEurope includes resurveyed vegetation plots from all habitats. Version 1.0 of ReSurveyEurope contains 283,135 observations (i.e., individual surveys of each plot) from 79,190 plots sampled in 449 independent resurvey projects. Of these, 62,139 (78%) are permanent plots, that is, marked in situ, or located with GPS, which allow for high spatial accuracy in resurvey. The remaining 17,051 (22%) plots are from studies in which plots from the initial survey could not be exactly relocated. Four data sets, which together account for 28,470 (36%) plots, provide only presence/absence information on plant species, while the remaining 50,720 (64%) plots contain abundance information (e.g., percentage cover or cover–abundance classes such as variants of the Braun-Blanquet scale). The oldest plots were sampled in 1911 in the Swiss Alps, while most plots were sampled between 1950 and 2020. Conclusions: ReSurveyEurope is a new resource to address a wide range of research questions on fine-scale changes in European vegetation. The initiative is devoted to an inclusive and transparent governance and data usage approach, based on slightly adapted rules of the well-established European Vegetation Archive (EVA). ReSurveyEurope data are ready for use, and proposals for analyses of the data set can be submitted at any time to the coordinators. Still, further data contributions are highly welcome.

Published
2024

14. Decoupled phylogenetic and functional diversity in European grasslands

Author

Večeřa, Martin, Axmanová, Irena, Chytrý, Milan, Divíšek, Jan, Ndiribe, Charlotte, Velasco Mones, Gonzalo, Čeplová, Natálie, Aćić, Svetlana, Bahn, Michael, Bergamini, Ariel, Boenisch, Gerhard, Biurrun, Idoia, Bruun, Hans Henrik, Byun, Chaeho, Catford, Jane A., Cerabolini, Bruno E. L., Cornelissen, Johannes H. C., Dengler, Jürgen, Jansen, Florian, Jansen, Steven, Kattge, Jens, Kozub, Łukasz, Kuzemko, Anna, Minden, Vanessa, Mitchell, Rachel M., Moeslund, Jesper E., Mori, Akira S., Niinemets, Ülo, Ruprecht, Eszter, Rūsiņa, Solvita, Šilc, Urban, Soudzilovskaia, Nadejda A., van Bodegom, Peter M., Vassilev, Kiril, Weiher, Evan, Wright, Ian J., Lososová, Zdeňka, Večeřa, Martin, Axmanová, Irena, Chytrý, Milan, Divíšek, Jan, Ndiribe, Charlotte, Velasco Mones, Gonzalo, Čeplová, Natálie, Aćić, Svetlana, Bahn, Michael, Bergamini, Ariel, Boenisch, Gerhard, Biurrun, Idoia, Bruun, Hans Henrik, Byun, Chaeho, Catford, Jane A., Cerabolini, Bruno E. L., Cornelissen, Johannes H. C., Dengler, Jürgen, Jansen, Florian, Jansen, Steven, Kattge, Jens, Kozub, Łukasz, Kuzemko, Anna, Minden, Vanessa, Mitchell, Rachel M., Moeslund, Jesper E., Mori, Akira S., Niinemets, Ülo, Ruprecht, Eszter, Rūsiņa, Solvita, Šilc, Urban, Soudzilovskaia, Nadejda A., van Bodegom, Peter M., Vassilev, Kiril, Weiher, Evan, Wright, Ian J., and Lososová, Zdeňka

Abstract

The relationship between phylogenetic diversity (PD) and functional diversity (FD) is important for understanding the mechanisms of community assembly. The traditional view assumes a coupled (positively correlated) relationship between these two diversity measures, suggesting that competitive exclusion and environmental filtering are important drivers of both phylogenetic and functional structure of communities. In contrast, there is evidence that communities might deviate from this pattern, exhibiting either phylogenetic overdispersion connected with trait convergence (decoupled PD) or functional overdispersion connected with phylogenetic clustering (decoupled FD). In this study, we examined the relationship between PD and FD within vascular-plant communities in European grasslands, focusing on decoupled PD-FD patterns. We hypothesized that the decoupled patterns are connected with past or current environmental changes and are rarer in comparison with the coupled PD-FD pattern, reflecting long-term relatively stable environments. We used 81,484 plots (communities) of European dry, mesic, wet and alpine grasslands, containing 4,119 angiosperm species, and data on six functional traits relevant for different plant functions and habitats (plant height, leaf area, specific leaf area, leaf nitrogen content, seed mass and lateral spreading distance). Functional diversity was evaluated in two ways – as a single combined measure and as variability in each trait separately. We found various PD-FD patterns across different habitats, traits and regions, with the coupled pattern widespread but not universal. In many communities, we detected the tendency towards decoupled PD, likely caused by environmental filtering of phylogenetically diverse species pools. This was most pronounced in dry grasslands, and also in wet and alpine grasslands when FD based on plant height, leaf area or seed mass was considered. In contrast, the tendency towards decoupled FD was detected only in mes

Published
2024

15. Diversity and distribution of Raunkiær's life forms in European vegetation

Author

Midolo, Gabriele, Axmanová, Irena, Divíšek, Jan, Dřevojan, Pavel, Lososová, Zdeňka, Večeřa, Martin, Karger, Dirk Nikolaus, Thuiller, Wilfried, Bruelheide, Helge, Aćić, Svetlana, Attorre, Fabio, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Čarni, Andraž, Chiarucci, Alessandro, Ćušterevska, Renata, Dengler, Jürgen, Dziuba, Tetiana, Garbolino, Emmanuel, Jandt, Ute, Lenoir, Jonathan, Marcenò, Corrado, Rūsiņa, Solvita, Šibík, Jozef, Škvorc, Željko, Stančić, Zvjezdana, Stanišić‐Vujačić, Milica, Svenning, Jens‐Christian, Swacha, Grzegorz, Vassilev, Kiril, Chytrý, Milan, Midolo, Gabriele, Axmanová, Irena, Divíšek, Jan, Dřevojan, Pavel, Lososová, Zdeňka, Večeřa, Martin, Karger, Dirk Nikolaus, Thuiller, Wilfried, Bruelheide, Helge, Aćić, Svetlana, Attorre, Fabio, Biurrun, Idoia, Boch, Steffen, Bonari, Gianmaria, Čarni, Andraž, Chiarucci, Alessandro, Ćušterevska, Renata, Dengler, Jürgen, Dziuba, Tetiana, Garbolino, Emmanuel, Jandt, Ute, Lenoir, Jonathan, Marcenò, Corrado, Rūsiņa, Solvita, Šibík, Jozef, Škvorc, Željko, Stančić, Zvjezdana, Stanišić‐Vujačić, Milica, Svenning, Jens‐Christian, Swacha, Grzegorz, Vassilev, Kiril, and Chytrý, Milan

Abstract

Aims: The Raunkiær's system classifies vascular plants into life forms based on the position of renewal buds during periods unfavourable for plant growth. Despite the importance of Raunkiær's system for ecological research, a study exploring the diversity and distribution of life forms on a continental scale is missing. We aim to (i) map the diversity and distribution of life forms in European vegetation and (ii) test for effects of bioclimatic variables while controlling for habitat-specific responses. Location: Europe. Methods: We used data on life forms of 8883 species recorded in 546,501 vegetation plots of different habitats (forest, grassland, scrub and wetland). For each plot, we calculated: (i) the proportion of species of each life form and (ii) the richness and evenness of life forms. We mapped these plot-level metrics averaged across 50 km × 50 km grid cells and modelled their response to bioclimatic variables. Results: Hemicryptophytes were the most widespread life form, especially in the temperate zone of Central Europe. Conversely, therophyte and chamaephyte species were more common in the Mediterranean as well as in the dry temperate regions. Moreover, chamaephytes were also more common in the boreal and arctic zones. Higher proportions of phanerophytes were found in the Mediterranean. Overall, a higher richness of life forms was found at lower latitudes while evenness showed more spatially heterogeneous patterns. Habitat type was the main discriminator for most of the responses analysed, but several moisture-related predictors still showed a marked effect on the diversity of therophytes and chamaephytes. Conclusions: Our maps can be used as a tool for future biogeographic and macro-ecological research at a continental scale. Habitat type and bioclimatic conditions are key for regulating the diversity and distribution of plant life forms, with concomitant consequences for the response of functional diversity in European vegetation to global environmen

Published
2024

16. ReSurveyEurope:A database of resurveyed vegetation plots in Europe

Author

Knollová, Ilona, Chytrý, Milan, Bruelheide, Helge, Dullinger, Stefan, Jandt, Ute, Bernhardt-Römermann, Markus, Biurrun, Idoia, de Bello, Francesco, Glaser, Michael, Hennekens, Stephan, Jansen, Florian, Jiménez-Alfaro, Borja, Kadaš, Daniel, Kaplan, Ekin, Klinkovská, Klára, Lenzner, Bernd, Pauli, Harald, Sperandii, Marta Gaia, Verheyen, Kris, Winkler, Manuela, Abdaladze, Otar, Aćić, Svetlana, Acosta, Alicia T.R., Alignier, Audrey, Andrews, Christopher, Arlettaz, Raphaël, Attorre, Fabio, Axmanová, Irena, Babbi, Manuel, Baeten, Lander, Baran, Jakub, Barni, Elena, Benito-Alonso, José Luis, Berg, Christian, Bergamini, Ariel, Berki, Imre, Boch, Steffen, Bock, Barbara, Bode, Frank, Bonari, Gianmaria, Boublík, Karel, Britton, Andrea J., Brunet, Jörg, Bruzzaniti, Vanessa, Buholzer, Serge, Burrascano, Sabina, Campos, Juan A., Carlsson, Bengt Göran, Carranza, Maria Laura, Černý, Tomáš, Charmillot, Kévin, Chiarucci, Alessandro, Choler, Philippe, Chytrý, Kryštof, Corcket, Emmanuel, Csecserits, Anikó, Cutini, Maurizio, Czarniecka-Wiera, Marta, Danihelka, Jiří, de Francesco, Maria Carla, De Frenne, Pieter, Di Musciano, Michele, De Sanctis, Michele, Deák, Balázs, Decocq, Guillaume, Dembicz, Iwona, Dengler, Jürgen, Di Cecco, Valter, Dick, Jan, Diekmann, Martin, Dierschke, Hartmut, Dirnböck, Thomas, Doerfler, Inken, Doležal, Jiří, Döring, Ute, Durak, Tomasz, Dwyer, Ciara, Ejrnæs, Rasmus, Ermakova, Inna, Erschbamer, Brigitta, Fanelli, Giuliano, Fernández-Calzado, María Rosa, Fickert, Thomas, Fischer, Andrea, Fischer, Markus, Foremnik, Kacper, Frouz, Jan, García-González, Ricardo, García-Magro, Daniel, García-Mijangos, Itziar, Gavilán, Rosario G., Germ, Mateja, Ghosn, Dany, Gigauri, Khatuna, Gizela, Jaroslav, Golob, Aleksandra, Golub, Valentin, Gómez-García, Daniel, Gowing, David, Grytnes, John Arvid, Güler, Behlül, Gutiérrez-Girón, Alba, Haase, Peter, Haider, Sylvia, Hájek, Michal, Halassy, Melinda, Harásek, Martin, Härdtle, Werner, Heinken, Thilo, Hester, Alison, Humbert, Jean Yves, Ibáñez, Ricardo, Illa, Estela, Jaroszewicz, Bogdan, Jensen, Kai, Jentsch, Anke, Jiroušek, Martin, Kalníková, Veronika, Kanka, Róbert, Kapfer, Jutta, Kazakis, George, Kermavnar, Janez, Kesting, Stefan, Khanina, Larisa, Kindermann, Elisabeth, Kotrík, Marek, Koutecký, Tomáš, Kozub, Łukasz, Kuhn, Gisbert, Kutnar, Lado, La Montagna, Dario, Lamprecht, Andrea, Lenoir, Jonathan, Lepš, Jan, Leuschner, Christoph, Lorite, Juan, Madsen, Bjarke, Ugarte, Rosina Magaña, Malicki, Marek, Maliniemi, Tuija, Máliš, František, Maringer, Alexander, Marrs, Robert, Matesanz, Silvia, Metze, Katrin, Meyer, Stefan, Millett, Jonathan, Mitchell, Ruth J., Moeslund, Jesper Erenskjold, Moiseev, Pavel, di Cella, Umberto Morra, Mudrák, Ondřej, Müller, Frank, Müller, Norbert, Naaf, Tobias, Nagy, Laszlo, Napoleone, Francesca, Nascimbene, Juri, Navrátilová, Jana, Ninot, Josep M., Niu, Yujie, Normand, Signe, Ogaya, Romá, Onipchenko, Vladimir, Orczewska, Anna, Ortmann-Ajkai, Adrienne, Pakeman, Robin J., Pardo, Iker, Pätsch, Ricarda, Peet, Robert K., Penuelas, Josep, Peppler-Lisbach, Cord, Pérez-Hernández, Javier, Pérez-Haase, Aaron, Petraglia, Alessandro, Petřík, Petr, Pielech, Remigiusz, Piórkowski, Hubert, Pladevall-Izard, Eulàlia, Poschlod, Peter, Prach, Karel, Praleskouskaya, Safiya, Prokhorov, Vadim, Provoost, Sam, Pușcaș, Mihai, Pustková, Štěpánka, Randin, Christophe François, Rašomavičius, Valerijus, Reczyńska, Kamila, Rédei, Tamás, Řehounková, Klára, Richner, Nina, Risch, Anita C., Rixen, Christian, Rosbakh, Sergey, Roscher, Christiane, Rosenthal, Gert, Rossi, Graziano, Rötzer, Harald, Roux, Camille, Rumpf, Sabine B., Ruprecht, Eszter, Rūsiņa, Solvita, Sanz-Zubizarreta, Irati, Schindler, Meret, Schmidt, Wolfgang, Schories, Dirk, Schrautzer, Joachim, Schubert, Hendrik, Schuetz, Martin, Schwabe, Angelika, Schwaiger, Helena, Schwartze, Peter, Šebesta, Jan, Seiler, Hallie, Šilc, Urban, Silva, Vasco, Šmilauer, Petr, Šmilauerová, Marie, Sperle, Thomas, Stachurska-Swakoń, Alina, Stanik, Nils, Stanisci, Angela, Steffen, Kristina, Storm, Christian, Stroh, Hans Georg, Sugorkina, Nadezhda, Świerkosz, Krzysztof, Świerszcz, Sebastian, Szymura, Magdalena, Teleki, Balázs, Thébaud, Gilles, Theurillat, Jean Paul, Tichý, Lubomír, Treier, Urs A., Turtureanu, Pavel Dan, Ujházy, Karol, Ujházyová, Mariana, Ursu, Tudor Mihai, Uziębło, Aldona K., Valkó, Orsolya, Van Calster, Hans, Van Meerbeek, Koenraad, Vandevoorde, Bart, Vandvik, Vigdis, Varricchione, Marco, Vassilev, Kiril, Villar, Luis, Virtanen, Risto, Vittoz, Pascal, Voigt, Winfried, von Hessberg, Andreas, von Oheimb, Goddert, Wagner, Eva, Walther, Gian Reto, Wellstein, Camilla, Wesche, Karsten, Wilhelm, Markus, Willner, Wolfgang, Wipf, Sonja, Wittig, Burghard, Wohlgemuth, Thomas, Woodcock, Ben A., Wulf, Monika, Essl, Franz, Knollová, Ilona, Chytrý, Milan, Bruelheide, Helge, Dullinger, Stefan, Jandt, Ute, Bernhardt-Römermann, Markus, Biurrun, Idoia, de Bello, Francesco, Glaser, Michael, Hennekens, Stephan, Jansen, Florian, Jiménez-Alfaro, Borja, Kadaš, Daniel, Kaplan, Ekin, Klinkovská, Klára, Lenzner, Bernd, Pauli, Harald, Sperandii, Marta Gaia, Verheyen, Kris, Winkler, Manuela, Abdaladze, Otar, Aćić, Svetlana, Acosta, Alicia T.R., Alignier, Audrey, Andrews, Christopher, Arlettaz, Raphaël, Attorre, Fabio, Axmanová, Irena, Babbi, Manuel, Baeten, Lander, Baran, Jakub, Barni, Elena, Benito-Alonso, José Luis, Berg, Christian, Bergamini, Ariel, Berki, Imre, Boch, Steffen, Bock, Barbara, Bode, Frank, Bonari, Gianmaria, Boublík, Karel, Britton, Andrea J., Brunet, Jörg, Bruzzaniti, Vanessa, Buholzer, Serge, Burrascano, Sabina, Campos, Juan A., Carlsson, Bengt Göran, Carranza, Maria Laura, Černý, Tomáš, Charmillot, Kévin, Chiarucci, Alessandro, Choler, Philippe, Chytrý, Kryštof, Corcket, Emmanuel, Csecserits, Anikó, Cutini, Maurizio, Czarniecka-Wiera, Marta, Danihelka, Jiří, de Francesco, Maria Carla, De Frenne, Pieter, Di Musciano, Michele, De Sanctis, Michele, Deák, Balázs, Decocq, Guillaume, Dembicz, Iwona, Dengler, Jürgen, Di Cecco, Valter, Dick, Jan, Diekmann, Martin, Dierschke, Hartmut, Dirnböck, Thomas, Doerfler, Inken, Doležal, Jiří, Döring, Ute, Durak, Tomasz, Dwyer, Ciara, Ejrnæs, Rasmus, Ermakova, Inna, Erschbamer, Brigitta, Fanelli, Giuliano, Fernández-Calzado, María Rosa, Fickert, Thomas, Fischer, Andrea, Fischer, Markus, Foremnik, Kacper, Frouz, Jan, García-González, Ricardo, García-Magro, Daniel, García-Mijangos, Itziar, Gavilán, Rosario G., Germ, Mateja, Ghosn, Dany, Gigauri, Khatuna, Gizela, Jaroslav, Golob, Aleksandra, Golub, Valentin, Gómez-García, Daniel, Gowing, David, Grytnes, John Arvid, Güler, Behlül, Gutiérrez-Girón, Alba, Haase, Peter, Haider, Sylvia, Hájek, Michal, Halassy, Melinda, Harásek, Martin, Härdtle, Werner, Heinken, Thilo, Hester, Alison, Humbert, Jean Yves, Ibáñez, Ricardo, Illa, Estela, Jaroszewicz, Bogdan, Jensen, Kai, Jentsch, Anke, Jiroušek, Martin, Kalníková, Veronika, Kanka, Róbert, Kapfer, Jutta, Kazakis, George, Kermavnar, Janez, Kesting, Stefan, Khanina, Larisa, Kindermann, Elisabeth, Kotrík, Marek, Koutecký, Tomáš, Kozub, Łukasz, Kuhn, Gisbert, Kutnar, Lado, La Montagna, Dario, Lamprecht, Andrea, Lenoir, Jonathan, Lepš, Jan, Leuschner, Christoph, Lorite, Juan, Madsen, Bjarke, Ugarte, Rosina Magaña, Malicki, Marek, Maliniemi, Tuija, Máliš, František, Maringer, Alexander, Marrs, Robert, Matesanz, Silvia, Metze, Katrin, Meyer, Stefan, Millett, Jonathan, Mitchell, Ruth J., Moeslund, Jesper Erenskjold, Moiseev, Pavel, di Cella, Umberto Morra, Mudrák, Ondřej, Müller, Frank, Müller, Norbert, Naaf, Tobias, Nagy, Laszlo, Napoleone, Francesca, Nascimbene, Juri, Navrátilová, Jana, Ninot, Josep M., Niu, Yujie, Normand, Signe, Ogaya, Romá, Onipchenko, Vladimir, Orczewska, Anna, Ortmann-Ajkai, Adrienne, Pakeman, Robin J., Pardo, Iker, Pätsch, Ricarda, Peet, Robert K., Penuelas, Josep, Peppler-Lisbach, Cord, Pérez-Hernández, Javier, Pérez-Haase, Aaron, Petraglia, Alessandro, Petřík, Petr, Pielech, Remigiusz, Piórkowski, Hubert, Pladevall-Izard, Eulàlia, Poschlod, Peter, Prach, Karel, Praleskouskaya, Safiya, Prokhorov, Vadim, Provoost, Sam, Pușcaș, Mihai, Pustková, Štěpánka, Randin, Christophe François, Rašomavičius, Valerijus, Reczyńska, Kamila, Rédei, Tamás, Řehounková, Klára, Richner, Nina, Risch, Anita C., Rixen, Christian, Rosbakh, Sergey, Roscher, Christiane, Rosenthal, Gert, Rossi, Graziano, Rötzer, Harald, Roux, Camille, Rumpf, Sabine B., Ruprecht, Eszter, Rūsiņa, Solvita, Sanz-Zubizarreta, Irati, Schindler, Meret, Schmidt, Wolfgang, Schories, Dirk, Schrautzer, Joachim, Schubert, Hendrik, Schuetz, Martin, Schwabe, Angelika, Schwaiger, Helena, Schwartze, Peter, Šebesta, Jan, Seiler, Hallie, Šilc, Urban, Silva, Vasco, Šmilauer, Petr, Šmilauerová, Marie, Sperle, Thomas, Stachurska-Swakoń, Alina, Stanik, Nils, Stanisci, Angela, Steffen, Kristina, Storm, Christian, Stroh, Hans Georg, Sugorkina, Nadezhda, Świerkosz, Krzysztof, Świerszcz, Sebastian, Szymura, Magdalena, Teleki, Balázs, Thébaud, Gilles, Theurillat, Jean Paul, Tichý, Lubomír, Treier, Urs A., Turtureanu, Pavel Dan, Ujházy, Karol, Ujházyová, Mariana, Ursu, Tudor Mihai, Uziębło, Aldona K., Valkó, Orsolya, Van Calster, Hans, Van Meerbeek, Koenraad, Vandevoorde, Bart, Vandvik, Vigdis, Varricchione, Marco, Vassilev, Kiril, Villar, Luis, Virtanen, Risto, Vittoz, Pascal, Voigt, Winfried, von Hessberg, Andreas, von Oheimb, Goddert, Wagner, Eva, Walther, Gian Reto, Wellstein, Camilla, Wesche, Karsten, Wilhelm, Markus, Willner, Wolfgang, Wipf, Sonja, Wittig, Burghard, Wohlgemuth, Thomas, Woodcock, Ben A., Wulf, Monika, and Essl, Franz

Abstract

Aims: We introduce ReSurveyEurope — a new data source of resurveyed vegetation plots in Europe, compiled by a collaborative network of vegetation scientists. We describe the scope of this initiative, provide an overview of currently available data, governance, data contribution rules, and accessibility. In addition, we outline further steps, including potential research questions. Results: ReSurveyEurope includes resurveyed vegetation plots from all habitats. Version 1.0 of ReSurveyEurope contains 283,135 observations (i.e., individual surveys of each plot) from 79,190 plots sampled in 449 independent resurvey projects. Of these, 62,139 (78%) are permanent plots, that is, marked in situ, or located with GPS, which allow for high spatial accuracy in resurvey. The remaining 17,051 (22%) plots are from studies in which plots from the initial survey could not be exactly relocated. Four data sets, which together account for 28,470 (36%) plots, provide only presence/absence information on plant species, while the remaining 50,720 (64%) plots contain abundance information (e.g., percentage cover or cover–abundance classes such as variants of the Braun-Blanquet scale). The oldest plots were sampled in 1911 in the Swiss Alps, while most plots were sampled between 1950 and 2020. Conclusions: ReSurveyEurope is a new resource to address a wide range of research questions on fine-scale changes in European vegetation. The initiative is devoted to an inclusive and transparent governance and data usage approach, based on slightly adapted rules of the well-established European Vegetation Archive (EVA). ReSurveyEurope data are ready for use, and proposals for analyses of the data set can be submitted at any time to the coordinators. Still, further data contributions are highly welcome.

Published
2024

17. Climate regulation processes are linked to the functional composition of plant communities in European forests, shrublands, and grasslands

Author

Kambach, Stephan, Attorre, Fabio, Axmanová, Irena, Bergamini, Ariel, Biurrun, Idoia, Bonari, Gianmaria, Carranza, Maria Laura, Chiarucci, Alessandro, Chytrý, Milan, Dengler, Jürgen, Garbolino, Emmanuel, Golub, Valentin, Hickler, Thomas, Jandt, Ute, Jansen, Jan, Jiménez-Alfaro, Borja, Karger, Dirk Nikolaus, Lososová, Zdeňka, Rašomavičius, Valerijus, Rūsiņa, Solvita, Sieber, Petra, Stanisci, Angela, Thuiller, Wilfried, Welk, Erik, Zimmermann, Niklaus E., Bruelheide, Helge, Kambach, Stephan, Attorre, Fabio, Axmanová, Irena, Bergamini, Ariel, Biurrun, Idoia, Bonari, Gianmaria, Carranza, Maria Laura, Chiarucci, Alessandro, Chytrý, Milan, Dengler, Jürgen, Garbolino, Emmanuel, Golub, Valentin, Hickler, Thomas, Jandt, Ute, Jansen, Jan, Jiménez-Alfaro, Borja, Karger, Dirk Nikolaus, Lososová, Zdeňka, Rašomavičius, Valerijus, Rūsiņa, Solvita, Sieber, Petra, Stanisci, Angela, Thuiller, Wilfried, Welk, Erik, Zimmermann, Niklaus E., and Bruelheide, Helge

Abstract

Terrestrial ecosystems affect climate by reflecting solar irradiation, evaporative cooling, and carbon sequestration. Yet very little is known about how plant traits affect climate regulation processes (CRPs) in different habitat types. Here, we used linear and random forest models to relate the community-weighted mean and variance values of 19 plant traits (summarized into eight trait axes) to the climate-adjusted proportion of reflected solar irradiation, evapotranspiration, and net primary productivity across 36,630 grid cells at the European extent, classified into 10 types of forest, shrubland, and grassland habitats. We found that these trait axes were more tightly linked to log evapotranspiration (with an average of 6.2% explained variation) and the proportion of reflected solar irradiation (6.1%) than to net primary productivity (4.9%). The highest variation in CRPs was explained in forest and temperate shrubland habitats. Yet, the strength and direction of these relationships were strongly habitat-dependent. We conclude that any spatial upscaling of the effects of plant communities on CRPs must consider the relative contribution of different habitat types.

Published
2024

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

Author

Preislerová, Zdenka, Marcenò, Corrado, Loidi, Javier, Bonari, Gianmaria, Borovyk, Dariia, Gavilán, Rosario G., Golub, Valentin, Terzi, Massimo, Theurillat, Jean‐Paul, Argagnon, Olivier, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Dengler, Jürgen, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Fernández‐González, Federico, Guarino, Riccardo, Hájek, Ondřej, Iakushenko, Dmytro, Iemelianova, Svitlana, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kuzemko, Anna, Landucci, Flavia, Lososová, Zdeňka, Milanović, Đorđije, Molina, José Antonio, Monteiro‐Henriques, Tiago, Mucina, Ladislav, Novák, Pavel, Nowak, Arkadiusz, Pätsch, Ricarda, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Reczyńska, Kamila, Rūsiņa, Solvita, Mata, Daniel Sánchez, Guerra, Arnoldo Santos, Šibík, Jozef, Škvorc, Željko, Stešević, Danijela, Stupar, Vladimir, Świerkosz, Krzysztof, Tzonev, Rossen, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Chytrý, Milan, Preislerová, Zdenka, Marcenò, Corrado, Loidi, Javier, Bonari, Gianmaria, Borovyk, Dariia, Gavilán, Rosario G., Golub, Valentin, Terzi, Massimo, Theurillat, Jean‐Paul, Argagnon, Olivier, Bioret, Frederic, Biurrun, Idoia, Campos, Juan Antonio, Capelo, Jorge, Čarni, Andraž, Çoban, Süleyman, Csiky, János, Ćuk, Mirjana, Ćušterevska, Renata, Dengler, Jürgen, Didukh, Yakiv, Dítě, Daniel, Fanelli, Giuliano, Fernández‐González, Federico, Guarino, Riccardo, Hájek, Ondřej, Iakushenko, Dmytro, Iemelianova, Svitlana, Jansen, Florian, Jašková, Anni, Jiroušek, Martin, Kalníková, Veronika, Kavgacı, Ali, Kuzemko, Anna, Landucci, Flavia, Lososová, Zdeňka, Milanović, Đorđije, Molina, José Antonio, Monteiro‐Henriques, Tiago, Mucina, Ladislav, Novák, Pavel, Nowak, Arkadiusz, Pätsch, Ricarda, Perrin, Gwenhael, Peterka, Tomáš, Rašomavičius, Valerijus, Reczyńska, Kamila, Rūsiņa, Solvita, Mata, Daniel Sánchez, Guerra, Arnoldo Santos, Šibík, Jozef, Škvorc, Željko, Stešević, Danijela, Stupar, Vladimir, Świerkosz, Krzysztof, Tzonev, Rossen, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, and Chytrý, Milan

Abstract

The data set described in this article is published on the publisher's webpage as Appendix S1. Future versions of this data set will be available online in the Download section of the FloraVeg.EU database (https://floraveg.eu/download/) and in the Zenodo repository (https://doi.org/10.5281/zenodo.10563021)., The first comprehensive phytosociological classification of all vegetation types in Europe (EuroVegChecklist; Applied Vegetation Science, 2016, 19, 3–264) contained brief descriptions of each type. However, these descriptions were not standardized and mentioned only the most distinct features of each vegetation type. The practical application of the vegetation classification system could be enhanced if users had the option to select sets of vegetation types based on various combinations of structural, ecological, and biogeographical attributes. Based on a literature review and expert knowledge, we created a new database that assigns standardized categorical attributes of 12 variables to each of the 1106 alliances dominated by vascular plants defined in EuroVegChecklist. These variables include dominant life form, phenological optimum, substrate moisture, substrate reaction, salinity, nutrient status, soil organic matter, vegetation region, elevational vegetation belt, azonality, successional status and naturalness. The new database has the potential to enhance the usefulness of phytosociological classification for researchers and practitioners and to help understand this classification to non-specialists.

Published
2024

19. Beyond salinity: Plants show divergent responses to soil ion composition

Author

Pätsch, Ricarda, primary, Midolo, Gabriele, additional, Dítě, Zuzana, additional, Dítě, Daniel, additional, Wagner, Viktoria, additional, Pavonič, Michal, additional, Danihelka, Jiří, additional, Preislerová, Zdenka, additional, Ćuk, Mirjana, additional, Stroh, Hans Georg, additional, Tóth, Tibor, additional, Chytrá, Helena, additional, and Chytrý, Milan, additional

Published
2024
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20. Disentangling vegetation diversity from climate–energy and habitat heterogeneity for explaining animal geographic patterns

Author

Jiménez‐Alfaro, Borja, Chytrý, Milan, Mucina, Ladislav, Grace, James B, and Rejmánek, Marcel

Subjects
Environmental Sciences, Biological Sciences, Ecology, Life Below Water, Animal diversity, diversity patterns, energy hypothesis, habitat heterogeneity, plant community, productivity, vegetation, Evolutionary Biology, Evolutionary biology, Ecological applications
Abstract

Broad-scale animal diversity patterns have been traditionally explained by hypotheses focused on climate-energy and habitat heterogeneity, without considering the direct influence of vegetation structure and composition. However, integrating these factors when considering plant-animal correlates still poses a major challenge because plant communities are controlled by abiotic factors that may, at the same time, influence animal distributions. By testing whether the number and variation of plant community types in Europe explain country-level diversity in six animal groups, we propose a conceptual framework in which vegetation diversity represents a bridge between abiotic factors and animal diversity. We show that vegetation diversity explains variation in animal richness not accounted for by altitudinal range or potential evapotranspiration, being the best predictor for butterflies, beetles, and amphibians. Moreover, the dissimilarity of plant community types explains the highest proportion of variation in animal assemblages across the studied regions, an effect that outperforms the effect of climate and their shared contribution with pure spatial variation. Our results at the country level suggest that vegetation diversity, as estimated from broad-scale classifications of plant communities, may contribute to our understanding of animal richness and may be disentangled, at least to a degree, from climate-energy and abiotic habitat heterogeneity.

Published
2016

21. Evaluating plant lineage losses and gains in temperate forest understories: a phylogenetic perspective on climate change and nitrogen deposition

Author

Padullés Cubino, Josep, primary, Lenoir, Jonathan, additional, Li, Daijiang, additional, Montaño‐Centellas, Flavia A., additional, Retana, Javier, additional, Baeten, Lander, additional, Bernhardt‐Römermann, Markus, additional, Chudomelová, Markéta, additional, Closset, Déborah, additional, Decocq, Guillaume, additional, De Frenne, Pieter, additional, Diekmann, Martin, additional, Dirnböck, Thomas, additional, Durak, Tomasz, additional, Hédl, Radim, additional, Heinken, Thilo, additional, Jaroszewicz, Bogdan, additional, Kopecký, Martin, additional, Macek, Martin, additional, Máliš, František, additional, Naaf, Tobias, additional, Orczewska, Anna, additional, Petřík, Petr, additional, Pielech, Remigiusz, additional, Reczyńska, Kamila, additional, Schmidt, Wolfgang, additional, Standovár, Tibor, additional, Świerkosz, Krzysztof, additional, Teleki, Balázs, additional, Verheyen, Kris, additional, Vild, Ondřej, additional, Waller, Donald, additional, Wulf, Monika, additional, and Chytrý, Milan, additional

Published
2023
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23. Modelling the distribution and compositional variation of plant communities at the continental scale

Author

Jiménez-Alfaro, Borja, Suárez-Seoane, Susana, Chytrý, Milan, Hennekens, Stephan M., Willner, Wolfgang, Hájek, Michal, Agrillo, Emiliano, Álvarez-Martínez, Jose M., Bergamini, Ariel, Brisse, Henry, Brunet, Jörg, Casella, Laura, Dítě, Daniel, Font, Xavier, Gillet, François, Hajková, Petra, Jansen, Florian, Jandt, Ute, Kącki, Zygmunt, Lenoir, Jonathan, Rodwell, John S., Schaminée, Joop H. J., Sekulová, Lucia, Šibík, Jozef, Škvorc, Željko, and Tsiripidis, Ioannis

Published
2018

34. Alien plant invasions in European woodlands

Author

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

Published
2017

35. The relationship between plant species richness and soil pH vanishes with increasing aridity across Eurasian dry grasslands

Author

Palpurina, Salza, Wagner, Viktoria, von Wehrden, Henrik, Hájek, Michal, Horsák, Michal, Brinkert, Annika, Hölzel, Norbert, Wesche, Karsten, Kamp, Johannes, Hájková, Petra, Danihelka, Jiří, Lustyk, Pavel, Merunková, Kristina, Preislerová, Zdenka, Koči, Martin, Kubešová, Svatava, Cherosov, Mikhail, Ermakov, Nikolai, German, Dmitry, Gogoleva, Paraskovia, Lashchinsky, Nikolai, Martynenko, Vassiliy, and Chytrý, Milan

Published
2017

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

Author

Tichy, 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, Gavilán García, Rosario Gloria, Chytrý, Milan, Tichy, 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, Gavilán García, Rosario Gloria, 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., Technology Agency of the Czech Republic, Swiss National Science Foundation SNF, German Research Foundation, Slovenian Research Agency, Gobierno Vasco, Depto. de Farmacología, Farmacognosia y Botánica, Fac. de Farmacia, TRUE, pub

Published
2023

48. Seasonal beta-diversity of dry grassland vegetation: Divergent peaks of above-ground biomass and species richness

Author

Masaryk University, Czech Science Foundation, Fischer, Felícia M., Chytrý, Kryštof, Chytrá, Helena, Chytrý, Milan, Těšitel, Jakub, Masaryk University, Czech Science Foundation, Fischer, Felícia M., Chytrý, Kryštof, Chytrá, Helena, Chytrý, Milan, and Těšitel, Jakub

Abstract

[Question]: Temperate grasslands are known for their high plant diversity and distinct seasonality. However, their intra-annual community dynamics are still largely overlooked by ecologists. Therefore, we explored the seasonal alpha- and beta-diversity patterns of vascular plants and their relationships to above-ground biomass in a rocky steppe (Festucion valesiacae). [Location]: Pavlov Hills, SE Czech Republic. [Methods]: For one year, we monitored the plant community of the rocky steppe at monthly intervals in 42 permanent plots of 0.25 m2. We examined seasonal changes in above-ground biomass (estimated from the cover and height of living plant parts) and seasonal beta-diversity, which we partitioned into turnover and nestedness components and their quantitative counterparts: balanced changes and abundance gradients. [Results]: We identified a pronounced seasonal pattern of above-ground biomass, species richness and composition. Total above-ground biomass was highest in June (summer), with a peak representing only 60% of total annual production (sum of individual species' maxima). However, the observed peak in species richness occurred in March (early spring), with 80% of the total species number recorded throughout the year. Accordingly, nestedness and abundance gradient patterns differed in the spring months, while seasonal turnover and balanced changes in abundance were generally congruent. Annual, short-lived, and perennial species exhibited different seasonal patterns of species richness and biomass production, although a sharp increase in biomass and a peak in species richness in spring were universal across the community. [Conclusions]: Seasonal climatic constraints on plant growth are key determinants of primary production dynamics. Plants adapt to these constraints by adjusting their life cycles in different ways. In dry grasslands, the complexity of plant responses to climatic seasonality can result in seasonal beta-diversity patterns with divergent peak

Published
2023

49. Traits of dominant plant species drive normalized difference vegetation index in grasslands globally

Author

German Research Foundation, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), European Research Council, Ministry of Education, Youth and Sports (Czech Republic), Czech Science Foundation, Academy of Sciences of the Czech Republic, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, National Science Foundation (US), Engel, Thore, Bruelheide, Helge, Hoss, Daniela, Sabatin, Francesco M., Altman, Jan, Arfin-Khan, Mohammed A. S., Bergmeier, Erwin, Černý, Tomáš, Chytrý, Milan, Dainese, Matteo, Dengler, Jürgen, Doležal, Jiří, Field, Richard, Fischer, Felícia M., Huygens, Dries, Jandt, Ute, Jansen, Florian, Jentsch, Anke, Karger, Dirk N., Kattge, Jens, Lenoir, Jonathan, Lens, Frederic, Loos, Jaqueline, Niinemets, Ülo, Overbeck, Gerhard E., Ozinga, Wim A., Peñuelas, Josep, Peyre, Gwendolyn, Phillips, Oliver, Reich, Peter B., Römermann, Christine, Sandel, Brody, Schmidt, Marco, Schrodt, Franziska, Velez-Martin, Eduardo, Violle, Cyrille, Pillar, Valério D., German Research Foundation, European Commission, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), European Research Council, Ministry of Education, Youth and Sports (Czech Republic), Czech Science Foundation, Academy of Sciences of the Czech Republic, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, National Science Foundation (US), Engel, Thore, Bruelheide, Helge, Hoss, Daniela, Sabatin, Francesco M., Altman, Jan, Arfin-Khan, Mohammed A. S., Bergmeier, Erwin, Černý, Tomáš, Chytrý, Milan, Dainese, Matteo, Dengler, Jürgen, Doležal, Jiří, Field, Richard, Fischer, Felícia M., Huygens, Dries, Jandt, Ute, Jansen, Florian, Jentsch, Anke, Karger, Dirk N., Kattge, Jens, Lenoir, Jonathan, Lens, Frederic, Loos, Jaqueline, Niinemets, Ülo, Overbeck, Gerhard E., Ozinga, Wim A., Peñuelas, Josep, Peyre, Gwendolyn, Phillips, Oliver, Reich, Peter B., Römermann, Christine, Sandel, Brody, Schmidt, Marco, Schrodt, Franziska, Velez-Martin, Eduardo, Violle, Cyrille, and Pillar, Valério D.

Abstract

[Aim]: Theoretical, experimental and observational studies have shown that biodiversity–ecosystem functioning (BEF) relationships are influenced by functional community structure through two mutually non-exclusive mechanisms: (1) the dominance effect (which relates to the traits of the dominant species); and (2) the niche partitioning effect [which relates to functional diversity (FD)]. Although both mechanisms have been studied in plant communities and experiments at small spatial extents, it remains unclear whether evidence from small-extent case studies translates into a generalizable macroecological pattern. Here, we evaluate dominance and niche partitioning effects simultaneously in grassland systems world-wide. [Location]: Two thousand nine hundred and forty-one grassland plots globally. [Time period]: 2000–2014. Major taxa studied. Vascular plants. [Methods]: We obtained plot-based data on functional community structure from the global vegetation plot database “sPlot”, which combines species composition with plant trait data from the “TRY” database. We used data on the community-weighted mean (CWM) and FD for 18 ecologically relevant plant traits. As an indicator of primary productivity, we extracted the satellite-derived normalized difference vegetation index (NDVI) from MODIS. Using generalized additive models and deviation partitioning, we estimated the contributions of trait CWM and FD to the variation in annual maximum NDVI, while controlling for climatic variables and spatial structure. [Results]: Grassland communities dominated by relatively tall species with acquisitive traits had higher NDVI values, suggesting the prevalence of dominance effects for BEF relationships. We found no support for niche partitioning for the functional traits analysed, because NDVI remained unaffected by FD. Most of the predictive power of traits was shared by climatic predictors and spatial coordinates. This highlights the importance of community assembly processes for BEF

Published
2023

50. Ecological Indicator Values for Europe (EIVE) 1.0

Author

Dengler, Jürgen, Jansen, Florian, Chusova, Olha, Hüllbusch, Elisabeth, Nobis, Michael P., Van Meerbeek, Koenraad, Axmanová, Irena, Bruun, Hans Henrik, Chytrý, Milan, Guarino, Riccardo, Karrer, Gerhard, Moeys, Karlien, Raus, Thomas, Steinbauer, Manuel J., Tichý, Lubomir, Tyler, Torbjörn, Batsatsashvili, Ketevan, Bita-Nicolae, Claudia, Didukh, Yakiv, Diekmann, Martin, Englisch, Thorsten, Fernández-Pascual, Eduardo, Frank, Dieter, Graf, Ulrich, Hájek, Michal, Jelaska, Sven D., Jiménez-Alfaro, Borja, Julve, Philippe, Nakhutsrishvili, George, Ozinga, Wim A., Ruprecht, Eszter Karolina, Šilc, Urban, Theurillat, Jean Paul, Gillet, François, Dengler, Jürgen, Jansen, Florian, Chusova, Olha, Hüllbusch, Elisabeth, Nobis, Michael P., Van Meerbeek, Koenraad, Axmanová, Irena, Bruun, Hans Henrik, Chytrý, Milan, Guarino, Riccardo, Karrer, Gerhard, Moeys, Karlien, Raus, Thomas, Steinbauer, Manuel J., Tichý, Lubomir, Tyler, Torbjörn, Batsatsashvili, Ketevan, Bita-Nicolae, Claudia, Didukh, Yakiv, Diekmann, Martin, Englisch, Thorsten, Fernández-Pascual, Eduardo, Frank, Dieter, Graf, Ulrich, Hájek, Michal, Jelaska, Sven D., Jiménez-Alfaro, Borja, Julve, Philippe, Nakhutsrishvili, George, Ozinga, Wim A., Ruprecht, Eszter Karolina, Šilc, Urban, Theurillat, Jean Paul, and Gillet, François

Abstract

Aims: To develop a consistent ecological indicator value system for Europe for five of the main plant niche dimensions: soil moisture (M), soil nitrogen (N), soil reaction (R), light (L) and temperature (T). Study area: Europe (and closely adjacent regions). Methods: We identified 31 indicator value systems for vascular plants in Europe that contained assessments on at least one of the five aforementioned niche dimensions. We rescaled the indicator values of each dimension to a continuous scale, in which 0 represents the minimum and 10 the maximum value present in Europe. Taxon names were harmonised to the Euro+Med Plantbase. For each of the five dimensions, we calculated European values for niche position and niche width by combining the values from the individual EIV systems. Using T values as an example, we externally validated our European indicator values against the median of bioclimatic conditions for global occurrence data of the taxa. Results: In total, we derived European indicator values of niche position and niche width for 14,835 taxa (14,714 for M, 13,748 for N, 14,254 for R, 14,054 for L, 14,496 for T). Relating the obtained values for temperature niche position to the bioclimatic data of species yielded a higher correlation than any of the original EIV systems (r = 0.859). The database: The newly developed Ecological Indicator Values for Europe (EIVE) 1.0, together with all source systems, is available in a flexible, harmonised open access database. Conclusions: EIVE is the most comprehensive ecological indicator value system for European vascular plants to date. The uniform interval scales for niche position and niche width provide new possibilities for ecological and macroecological analyses of vegetation patterns. The developed workflow and documentation will facilitate the future release of updated and expanded versions of EIVE, which may for example include the addition of further taxonomic groups, additional niche dimensions, external validatio, Aims: To develop a consistent ecological indicator value system for Europe for five of the main plant niche dimensions: soil moisture (M), soil nitrogen (N), soil reaction (R), light (L) and temperature (T). Study area: Europe (and closely adjacent regions). Methods: We identified 31 indicator value systems for vascular plants in Europe that contained assessments on at least one of the five aforementioned niche dimensions. We rescaled the indicator values of each dimension to a continuous scale, in which 0 represents the minimum and 10 the maximum value present in Europe. Taxon names were harmonised to the Euro+Med Plantbase. For each of the five dimensions, we calculated European values for niche position and niche width by combining the values from the individual EIV systems. Using T values as an example, we externally validated our European indicator values against the median of bioclimatic conditions for global occurrence data of the taxa. Results: In total, we derived European indicator values of niche position and niche width for 14,835 taxa (14,714 for M, 13,748 for N, 14,254 for R, 14,054 for L, 14,496 for T). Relating the obtained values for temperature niche position to the bioclimatic data of species yielded a higher correlation than any of the original EIV systems (r = 0.859). The database: The newly developed Ecological Indicator Values for Europe (EIVE) 1.0, together with all source systems, is available in a flexible, harmonised open access database. Conclusions: EIVE is the most comprehensive ecological indicator value system for European vascular plants to date. The uniform interval scales for niche position and niche width provide new possibilities for ecological and macroecological analyses of vegetation patterns. The developed workflow and documentation will facilitate the future release of updated and expanded versions of EIVE, which may for example include the addition of further taxonomic groups, additional niche dimensions, external valida

Published
2023

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