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174 results on '"Agrillo, Emiliano"'

1. Neophyte invasions in European heathlands and scrub

Author

Kalusová, Veronika, Chytrý, Milan, Večeřa, Martin, Svenning, Jens-Christian, Biurrun, Idoia, Kintrová, Kateřina, Agrillo, Emiliano, Carli, Emanuela, Ecker, Klaus, Garbolino, Emmanuel, Šibíková, Mária, Šilc, Urban, and Axmanová, Irena

Published
2023
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2. 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

4. Classification of European beech forests: a Gordian Knot?

Author

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

5. Probabilistic and preferential sampling approaches offer integrated perspectives of Italian forest diversity

Author

Alessi, Nicola, Bonari, Gianmaria, Zannini, Piero, Jiménez‐Alfaro, Borja, Agrillo, Emiliano, Attorre, Fabio, Canullo, Roberto, Casella, Laura, Cervellini, Marco, Chelli, Stefano, Di&nbsp, Musciano, Michele, Guarino, Riccardo, Martellos, Stefano, Massimi, Marco, Venanzoni, Roberto, Zerbe, Stefan, Chiarucci, Alessandro, Alessi, Nicola, Bonari, Gianmaria, Zannini, Piero, Jiménez‐Alfaro, Borja, Agrillo, Emiliano, Attorre, Fabio, Canullo, Roberto, Casella, Laura, Cervellini, Marco, Chelli, Stefano, Di Musciano, Michele, Guarino, Riccardo, Martellos, Stefano, Massimi, Marco, Venanzoni, Roberto, Zerbe, Stefan, Chiarucci, Alessandro, Alessi N., Bonari G., Zannini P., Jimenez-Alfaro B., Agrillo E., Attorre F., Canullo R., Casella L., Cervellini M., Chelli S., DiMusciano M., Guarino R., Martellos S., Massimi M., Venanzoni R., Zerbe S., and Chiarucci A.

Subjects
spatially constrained rarefaction curve, Ecology, co-occurrence data, detrended correspondence analysis, regional survey, temperate forests, vegetation database, indicator species analysis, biodiversity, co-occurrence data, detrended correspondence analysis, indicator species analysis, regional survey, spatially constrained rarefaction curve, temperate forests, vegetation database, zonal vegetation, Plant Science, zonal vegetation, biodiversity
Abstract

Aim: Assessing the performances of different sampling approaches for documenting community diversity may help to identify optimal sampling efforts and strategies, and to enhance conservation and monitoring planning. Here, we used two data sets based on probabilistic and preferential sampling schemes of Italian forest vegetation to analyze the multifaceted performances of the two approaches across three major forest types at a large scale. Location: Italy. Methods: We pooled 804 probabilistic and 16,259 preferential forest plotsassamplesofvascularplantdiversity across the country. We balanced the two data sets in terms of sizes, plot size, geographical position, and vegetation types. For each of the two data sets, 1000 subsets of 201 random plots were compared by calculating the shared and exclusive indicator species, their overlap in the multivariate space, and the areas encompassed by spatially-constrained rarefaction curves. We then calculated an index of performance using the ratio between the additional and total information collected by each sampling approach. The performances were tested and evaluated across the three major forest types. Results: The probabilistic approach performed better in estimating species richness and diversity of species assemblages, but did not detect other components of the regional diversity, such as azonal forests. The preferential approach outperformed the probabilistic approach in detecting forest-specialist species and plant diversity hotspots. Conclusions: Using a novel workflow based on vegetation-plot exclusivities and commonalities, our study suggests probabilistic and preferential sampling approaches are to be used in combination for better conservation and monitor planning purposes to detect multiple aspects of plant community diversity. Our findings can assist the implementation of national conservation planning and large-scale monitoring of biodiversity.

Published
2023

8. European Vegetation Archive (EVA): an integrated database of European vegetation plots

Author

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

12. Diversity of European habitat types is correlated with geography more than climate and human pressure

Author

Cervellini, Marco, Di Musciano, Michele, Zannini, Piero, Fattorini, Simone, Jiménez‐Alfaro, Borja, Agrillo, Emiliano, Attorre, Fabio, Angelini, Pierangela, Beierkuhnlein, Carl, Casella, Laura, Field, Richard, Fischer, Jan‐Christopher, Genovesi, Piero, Hoffmann, Samuel, Irl, Severin D. H., Nascimbene, Juri, Rocchini, Duccio, Steinbauer, Manuel, Vetaas, Ole R., Chiarucci, Alessandro, European Commission, Cervellini M., Di Musciano M., Zannini P., Fattorini S., Jimenez-Alfaro B., Agrillo E., Attorre F., Angelini P., Beierkuhnlein C., Casella L., Field R., Fischer J.-C., Genovesi P., Hoffmann S., Irl S.D.H., Nascimbene J., Rocchini D., Steinbauer M., Vetaas O.R., and Chiarucci A.

Subjects
anthropogenic impact, Ecology, Habitat richness, Anthropogenic impact, Terrain ruggedness index, Biodiversity conservation, Environmental predictors, environmental predictor, Social Sciences - Geography, Geography: Geosciences, habitat richne, terrain ruggedness index, habitat richness, European habitat directive, biodiversity conservation, environmental predictors, QH540-549.5, Ecology, Evolution, Behavior and Systematics, Research Articles, Nature and Landscape Conservation, Research Article
Abstract

Habitat richness, that is, the diversity of ecosystem types, is a complex, spatially explicit aspect of biodiversity, which is affected by bioclimatic, geographic, and anthropogenic variables. The distribution of habitat types is a key component for understanding broad‐scale biodiversity and for developing conservation strategies. We used data on the distribution of European Union (EU) habitats to answer the following questions: (i) how do bioclimatic, geographic, and anthropogenic variables affect habitat richness? (ii) Which of those factors is the most important? (iii) How do interactions among these variables influence habitat richness and which combinations produce the strongest interactions? The distribution maps of 222 terrestrial habitat types as defined by the Natura 2000 network were used to calculate habitat richness for the 10 km × 10 km EU grid map. We then investigated how environmental variables affect habitat richness, using generalized linear models, generalized additive models, and boosted regression trees. The main factors associated with habitat richness were geographic variables, with negative relationships observed for both latitude and longitude, and a positive relationship for terrain ruggedness. Bioclimatic variables played a secondary role, with habitat richness increasing slightly with annual mean temperature and overall annual precipitation. We also found an interaction between anthropogenic variables, with the combination of increased landscape fragmentation and increased population density strongly decreasing habitat richness. This is the first attempt to disentangle spatial patterns of habitat richness at the continental scale, as a key tool for protecting biodiversity. The number of European habitats is related to geography more than climate and human pressure, reflecting a major component of biogeographical patterns similar to the drivers observed at the species level. The interaction between anthropogenic variables highlights the need for coordinated, continental‐scale management plans for biodiversity conservation., We modeled EU habitat richness at continental scale as a function of geographic, climatic, and anthropogenic variables. We found geographical variables were by far the most strongly correlated with habitat richness, followed by climate. However, anthropogenic variables gained importance when considering their interactions, with important implications for conservation planning.

Published
2021

13. A comparative framework for broad-scale plot-based vegetation classification

Author

De Cáceres, Miquel, Chytrý, Milan, Agrillo, Emiliano, Attorre, Fabio, Botta-Dukát, Zoltán, Capelo, Jorge, Czúcz, Bálint, Dengler, Jürgen, Ewald, Jörg, Faber-Langendoen, Don, Feoli, Enrico, Franklin, Scott B., Gavilán, Rosario, Gillet, François, Jansen, Florian, Jiménez-Alfaro, Borja, Krestov, Pavel, Landucci, Flavia, Lengyel, Attila, Loidi, Javier, Mucina, Ladislav, Peet, Robert K., Roberts, David W., Roleček, Jan, Schaminée, Joop H.J., Schmidtlein, Sebastian, Theurillat, Jean-Paul, Tichý, Lubomír, Walker, Donald A., Wildi, Otto, Willner, Wolfgang, and Wiser, Susan K.

Published
2015

16. sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots

Author

Sabatini, Francesco Maria, Lenoir, Jonathan, Hattab, Tarek, Arnst, Elise Aimee, De Ruffray, Patrice, Hennekens, Stephan M., Jandt, Ute, Jansen, Florian, Kattge, Jens, Levesley, Aurora, Purschke, Oliver, Sandel, Brody, Sultana, Fahmida, Aavik, Tsipe, A?i?, 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, Casella, Laura, Cayuela, Luis, Chepinoga, Victor, De Bie, Els, De Sanctis, Michele, Dimopoulos, Panayotis, Dolezal, Jiri, Dziuba, Tetiana, El-Sheikh, Mohamed Abd El Rouf Mousa, Enquist, Brian, Fazayeli, Farideh, Field, Richard, Finckh, Manfred, Gachet, Sophie, Garbolino, Emmanuel, Gholizadeh, Hamid, Giorgis, Melisa, Golub, Valentin, Alsos, Inger Greve, Grytnes, John?Arvid, Guerin, Gregory Richard, Haider, Sylvia, Hatim, Mohamed Z., Hinojos Mendoza, Guillermo, Hubau, Wannes, Indreica, Adrian, Janssen, John A. M., Jedrzejek, Birgit, Jentsch, Anke, K?cki, Zygmunt, Kapfer, Jutta, Karger, Dirk Nikolaus, Kavgac?, Ali, Kearsley, Elizabeth, Kessler, Michael, Khanina, Larisa, Killeen, Timothy, Korolyuk, Andrey, Kreft, Holger, Kuzemko, Anna, Landucci, Flavia, Lengyel, Attila, Lens, Frederic, Liu, Hongyan, Lysenko, Tatiana, Mahecha, Miguel D., Martynenko, Vasiliy, Moeslund, Jesper Erenskjold, Monteagudo Mendoza, Abel, Mucina, Ladislav, Naqinezhad, Alireza, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Peet, Robert K., Peyre, Gwendolyn, Phillips, Oliver L., Prokhorov, Vadim, Revermann, Rasmus, Rivas?Torres, Gonzalo, Rodwell, John S., Ruprecht, Eszter, R?si?a, Solvita, Samimi, Cyrus, Schmidt, Marco, Schrodt, Franziska, Shan, Hanhuai, Shirokikh, Pavel, Sparrow, Ben, Sperandii, Marta Gaia, Stan?i?, Zvjezdana, Svenning, Jens?Christian, Tang, Zhiyao, Tang, Cindy Q., Tsiripidis, Ioannis, Vassilev, Kiril, 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

Subjects
Global and Planetary Change, Ecology, Geography: Geosciences, Ecology, Evolution, Behavior and Systematics
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, 0.01–40,000m². 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.

Published
2021

18. Diversity of EU habitat types is correlated with geography more than climate and human pressure

Author

Cervellini, Marco, primary, Musciano, Michele Di, additional, Zannini, Piero, additional, Fattorini, Simone, additional, Jiménez-Alfaro, Borja, additional, Agrillo, Emiliano, additional, Attorre, Fabio, additional, Angelini, Pierangela, additional, Beierkuhnlein, Carl, additional, Casella, Laura, additional, Field, Richard, additional, Fischer, Jan-Christopher, additional, Genovesi, Piero, additional, Hoffmann, Samuel, additional, Irl, Severin D. H., additional, Nascimbene, Juri, additional, Rocchini, Duccio, additional, Steinbauer, Manuel, additional, Vetaas, Ole Reidar, additional, and Chiarucci, Alessandro, additional

Published
2021
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19. Climate and socio‐economic factors explain differences between observed and expected naturalization patterns of European plants around the world

Author

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

Abstract

Aim: The number of naturalized (i.e. established) alien species has increased rapidly over recent centuries. Given the differences in environmental tolerances among species, little is known about what factors determine the extent to which the observed size of the naturalized range of a species and hence the extent to which the observed richness of naturalized species of a region approach their full potential. Here, we asked which region-and species-specific characteristics explain differences between observed and expected naturalizations. Location: Global. Time period: Present. Major taxa studied: Vascular plants. Methods: We determined the observed naturalized distribution outside Europe for 1,485 species endemic to Europe using the Global Naturalized Alien Flora (GloNAF) database and their expected distributions outside Europe using species distribution models. First, we investigated which of seven socio-economic factors related to introduction pathways, anthropogenic pressures and inventory effort best explained the differences between observed and expected naturalized European floras. Second, we examined whether distributional features, economic use and functional traits explain the extent to which species have filled their expected ranges outside Europe. Results: In terms of suitable area, more than 95% of expected naturalizations of European plants were not yet observed. Species were naturalized in only 4.2% of their suitable regions outside of Europe (range filling) and in 0.4% of their unsuitable regions (range expansion). Anthropogenic habitat disturbance primarily explained the difference between observed and expected naturalized European floras, as did the number of treaties relevant to invasive species. Species of ornamental and economic value and with large specific leaf area performed better at filling and expanding beyond their expected range. Main conclusions: The naturalization of alien plant species is explained by climate matching but also by the

Published
2021

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

Author

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

Published
2021
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21. Facebook groups as citizen science tools for plant species monitoring

Author

Marcenò, Corrado, primary, Padullés Cubino, Josep, additional, Chytrý, Milan, additional, Genduso, Emanuele, additional, Salemi, Dario, additional, La Rosa, Alfonso, additional, Gristina, Alessandro Silvestre, additional, Agrillo, Emiliano, additional, Bonari, Gianmaria, additional, Giusso del Galdo, Gianpietro, additional, Ilardi, Vincenzo, additional, Landucci, Flavia, additional, and Guarino, Riccardo, additional

Published
2021
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23. Alien plant invasion hotspots and invasion debt in European woodlands

Author

Wagner, Viktoria, primary, Večeřa, Martin, additional, Jiménez‐Alfaro, Borja, additional, Pergl, Jan, additional, Lenoir, Jonathan, additional, Svenning, Jens‐Christian, additional, Pyšek, Petr, additional, Agrillo, Emiliano, additional, Biurrun, Idoia, additional, Campos, Juan Antonio, additional, Ewald, Jörg, additional, Fernández‐González, Federico, additional, Jandt, Ute, additional, Rašomavičius, Valerijus, additional, Šilc, Urban, additional, Škvorc, Željko, additional, Vassilev, Kiril, additional, Wohlgemuth, Thomas, additional, and Chytrý, Milan, additional

Published
2021
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24. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

Author

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

Abstract

Contains fulltext : 222360.pdf (publisher's version ) (Open Access), Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set-theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species-to-habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man-made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electroni

Published
2020

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

Author

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

Abstract

Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set-theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species-to-habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man-made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electronic expert

Published
2020

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

Author

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

Abstract

EUNIS-ESy is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run using the JUICE program (Tichý 2002; https://www.sci.muni.cz/botany/juice/), TURBOVEG 3 program (Hennekens 2015) and an R script (Bruelheide et al. 2021). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification., EUNIS-ESy is an expert system for automatic classification of European vegetation plots to habitat types of the EUNIS Habitat Classification. The EUNIS classification and the principles of the expert system are described by Chytrý et al. (2020). The classification of a set of vegetation plots can be run using the JUICE program (Tichý 2002; https://www.sci.muni.cz/botany/juice/), TURBOVEG 3 program (Hennekens 2015) and an R script (Bruelheide et al. 2021). This dataset contains two parts: (1) the expert system and related files necessary for running it; (2) characterization of EUNIS habitats based on the results of the expert system classification. 1. Expert system and related files necessary to run it 1.1. EUNIS-ESy-2021-06-01.txt – a file containing the script for the classification of vegetation plots by EUNIS-ESy. This version contains tested definitions for the revised classification vegetated Marine (coastal saltmarshes), Coastal, Wetland, Grassland, Shrubland, Forest, Inland sparsely vegetated and Man-made habitats, and preliminary non-tested definitions of the older classification of Marine, Aquatic and Inland sparsely vegetated habitats. 1.2. Nomenclature-translation-from-Turboveg-2-databases.zip – an archive containing the scripts for automatic translation of taxon concepts and names used in individual European Turboveg 2 databases (Hennekens & Schaminée 2001; https://www.synbiosys.alterra.nl/turboveg/) to the nomenclature that can be used as an input for EUNIS-ESy. 1.3. EUNIS-ESy-User-Guide.pdf – a brief user guide to the classification of vegetation plots by EUNIS-ESy using the JUICE program. Please read this guide carefully before running the expert system to avoid misclassifications. 2. Characterization of the EUNIS habitats based on the results of the EUNIS-ESy classification 2.1. EUNIS-habitats-2021-06-01.xlsx – the current list o

Published
2020

27. Phylogenetic structure of European forest vegetation

Author

Padullés Cubino, Josep, primary, Lososová, Zdeňka, additional, Bonari, Gianmaria, additional, Agrillo, Emiliano, additional, Attorre, Fabio, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Campos, Juan A., additional, Čarni, Andraž, additional, Ćuk, Mirjana, additional, De Sanctis, Michele, additional, Indreica, Adrian, additional, Jiménez‐Alfaro, Borja, additional, Khanina, Larisa, additional, Knollová, Ilona, additional, Lenoir, Jonathan, additional, Pielech, Remigiusz, additional, Rašomavičius, Valerijus, additional, Škvorc, Željko, additional, Svenning, Jens‐Christian, additional, Vassilev, Kiril, additional, Willner, Wolfgang, additional, and Chytrý, Milan, additional

Published
2021
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28. Classification of the Mediterranean lowland to submontane pine forest vegetation

Author

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

Published
2021
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29. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

Author

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

Published
2020
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30. Supplementary material 3 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
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31. Figure 1 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
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32. Figure 4 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
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33. Supplementary material 1 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

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2020
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34. Figure 2 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

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2020
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35. Supplementary material 4 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

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2020
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36. Supplementary material 2 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
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37. Supplementary material 5 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
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38. Figure 3 from: Attorre F, Cambria VE, Agrillo E, Alessi N, Alfò M, De Sanctis M, Malatesta L, Sitzia T, Guarino R, Marcenò C, Massimi M, Spada F, Fanelli G (2020) Finite Mixture Model-based classification of a complex vegetation system. Vegetation Classification and Survey 1: 77-86. https://doi.org/10.3897/VCS/2020/48518

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

Published
2020
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39. Finite Mixture Model-based classification of a complex vegetation system

Author

Attorre, Fabio, primary, Cambria, Vito E., additional, Agrillo, Emiliano, additional, Alessi, Nicola, additional, Alfò, Marco, additional, De Sanctis, Michele, additional, Malatesta, Luca, additional, Sitzia, Tommaso, additional, Guarino, Riccardo, additional, Marcenò, Corrado, additional, Massimi, Marco, additional, Spada, Francesco, additional, and Fanelli, Giuliano, additional

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2020
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42. sPlot - A new tool for global vegetation analyses

Author

Bruelheide, Helge, Bruelheide, Helge, Dengler, Juergen, Jimenez-Alfaro, Borja, Purschke, Oliver, Hennekens, Stephan M., Chytry, Milan, Pillar, Valerio 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, Ambarli, Didem, Angelini, Pierangela, Apostolova, Iva, Khan, Mohammed A.S.Arfin, Arnst, Elise, Attorre, Fabio, Baraloto, Christopher, Beckmann, Michael, Berg, Christian, Bergeron, Yves, Bergmeier, Erwin, Bjorkman, Anne D., Bondareva, Viktoria, Borchardt, Peter, Botta-Dukat, Zoltan, Boyle, Brad, Breen, Amy, Brisse, Henry, Byun, Chaeho, Cabido, Marcelo R., Casella, Laura, Cayuela, Luis, Cerny, Tomas, Chepinoga, Victor, Csiky, Janos, Curran, Michael, Custerevska, Renata, Dajić-Stevanović, Zora, De Bie, Els, de Ruffray, Patrice, De Sanctis, Michele, Dimopoulos, Panayotis, Dressler, Stefan, Ejrnaes, Rasmus, El-Sheikh, Mohamed Abd El-Rouf Mousa, Enquist, Brian, Ewald, Joerg, Fagundez, Jaime, Finckh, Manfred, Font, Xavier, Forey, Estelle, Fotiadis, Georgios, Garcia-Mijangos, Itziar, de Gasper, Andre Luis, Golub, Valentin, Gutierrez, Alvaro G., Hatim, Mohamed Z., He, Tianhua, Higuchi, Pedro, Holubova, Dana, Hoelzel, Norbert, Homeier, Juergen, Indreica, Adrian, Gursoy, Deniz Isik, Jansen, Steven, Janssen, John, Jedrzejek, Birgit, Jirousek, Martin, Juergens, Norbert, Kacki, Zygmunt, Kavgaci, Ali, Kearsley, Elizabeth, Kessler, Michael, Knollova, Ilona, Kolomiychuk, Vitaliy, Korolyuk, Andrey, Kozhevnikova, Maria, Kozub, Lukasz, Krstonosić, Daniel, Kuehl, Hjalmar, Kuehn, Ingolf, Kuzemko, Anna, Kuzmić, Filip, Landucci, Flavia, Lee, Michael T., Levesley, Aurora, Li, Ching-Feng, Liu, Hongyan, Lopez-Gonzalez, Gabriela, Lysenko, Tatiana, Macanović, Armin, Mahdavi, Parastoo, Manning, Peter, Marceno, Corrado, Martynenko, Vassiliy, Mencuccini, Maurizio, Minden, Vanessa, Moeslund, Jesper Erenskjold, Moretti, Marco, Mueller, Jonas V., Munzinger, Jerome, Niinemets, Ulo, Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Ozinga, Wim A., Pauchard, Anibal, Pedashenko, Hristo, Penuelas, Josep, Perez-Haase, Aaron, Peterka, Tomas, Petrik, Petr, Phillips, Oliver L., Prokhorov, Vadim, Rasomavicius, Valerijus, Revermann, Rasmus, Rodwell, John, Ruprecht, Eszter, Rusina, Solvita, Samimi, Cyrus, Schaminee, Joop H.J., Schmiedel, Ute, Sibik, Jozef, Silc, Urban, Skvorc, Željko, Smyth, Anita, Sop, Tenekwetche, Sopotlieva, Desislava, Sparrow, Ben, Stancić, Zvjezdana, Svenning, Jens-Christian, Swacha, Grzegorz, Tang, Zhiyao, Tsiripidis, Ioannis, Turtureanu, Pavel Dan, Ugurlu, Emin, Uogintas, Domas, Valachović, Milan, Vanselow, Kim Andre, Vashenyak, Yulia, Vassilev, Kiril, Velez-Martin, Eduardo, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, von 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, Bruelheide, Helge, Dengler, Juergen, Jimenez-Alfaro, Borja, Purschke, Oliver, Hennekens, Stephan M., Chytry, Milan, Pillar, Valerio 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, Ambarli, Didem, Angelini, Pierangela, Apostolova, Iva, Khan, Mohammed A.S.Arfin, Arnst, Elise, Attorre, Fabio, Baraloto, Christopher, Beckmann, Michael, Berg, Christian, Bergeron, Yves, Bergmeier, Erwin, Bjorkman, Anne D., Bondareva, Viktoria, Borchardt, Peter, Botta-Dukat, Zoltan, Boyle, Brad, Breen, Amy, Brisse, Henry, Byun, Chaeho, Cabido, Marcelo R., Casella, Laura, Cayuela, Luis, Cerny, Tomas, Chepinoga, Victor, Csiky, Janos, Curran, Michael, Custerevska, Renata, Dajić-Stevanović, Zora, De Bie, Els, de Ruffray, Patrice, De Sanctis, Michele, Dimopoulos, Panayotis, Dressler, Stefan, Ejrnaes, Rasmus, El-Sheikh, Mohamed Abd El-Rouf Mousa, Enquist, Brian, Ewald, Joerg, Fagundez, Jaime, Finckh, Manfred, Font, Xavier, Forey, Estelle, Fotiadis, Georgios, Garcia-Mijangos, Itziar, de Gasper, Andre Luis, Golub, Valentin, Gutierrez, Alvaro G., Hatim, Mohamed Z., He, Tianhua, Higuchi, Pedro, Holubova, Dana, Hoelzel, Norbert, Homeier, Juergen, Indreica, Adrian, Gursoy, Deniz Isik, Jansen, Steven, Janssen, John, Jedrzejek, Birgit, Jirousek, Martin, Juergens, Norbert, Kacki, Zygmunt, Kavgaci, Ali, Kearsley, Elizabeth, Kessler, Michael, Knollova, Ilona, Kolomiychuk, Vitaliy, Korolyuk, Andrey, Kozhevnikova, Maria, Kozub, Lukasz, Krstonosić, Daniel, Kuehl, Hjalmar, Kuehn, Ingolf, Kuzemko, Anna, Kuzmić, Filip, Landucci, Flavia, Lee, Michael T., Levesley, Aurora, Li, Ching-Feng, Liu, Hongyan, Lopez-Gonzalez, Gabriela, Lysenko, Tatiana, Macanović, Armin, Mahdavi, Parastoo, Manning, Peter, Marceno, Corrado, Martynenko, Vassiliy, Mencuccini, Maurizio, Minden, Vanessa, Moeslund, Jesper Erenskjold, Moretti, Marco, Mueller, Jonas V., Munzinger, Jerome, Niinemets, Ulo, Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onyshchenko, Viktor, Overbeck, Gerhard E., Ozinga, Wim A., Pauchard, Anibal, Pedashenko, Hristo, Penuelas, Josep, Perez-Haase, Aaron, Peterka, Tomas, Petrik, Petr, Phillips, Oliver L., Prokhorov, Vadim, Rasomavicius, Valerijus, Revermann, Rasmus, Rodwell, John, Ruprecht, Eszter, Rusina, Solvita, Samimi, Cyrus, Schaminee, Joop H.J., Schmiedel, Ute, Sibik, Jozef, Silc, Urban, Skvorc, Željko, Smyth, Anita, Sop, Tenekwetche, Sopotlieva, Desislava, Sparrow, Ben, Stancić, Zvjezdana, Svenning, Jens-Christian, Swacha, Grzegorz, Tang, Zhiyao, Tsiripidis, Ioannis, Turtureanu, Pavel Dan, Ugurlu, Emin, Uogintas, Domas, Valachović, Milan, Vanselow, Kim Andre, Vashenyak, Yulia, Vassilev, Kiril, Velez-Martin, Eduardo, Venanzoni, Roberto, Vibrans, Alexander Christian, Violle, Cyrille, Virtanen, Risto, von Wehrden, Henrik, Wagner, Viktoria, Walker, Donald A., Wana, Desalegn, Weiher, Evan, Wesche, Karsten, Whitfeld, Timothy, Willner, Wolfgang, Wiser, Susan, Wohlgemuth, Thomas, Yamalov, Sergey, Zizka, Georg, and Zverev, Andrei

Abstract

Aims Vegetation-plot records provide information on the presence and cover or abundance of plants co-occurring in the same community. Vegetation-plot data are spread across research groups, environmental agencies and biodiversity research centers and, thus, are rarely accessible at continental or global scales. Here we present the sPlot database, which collates vegetation plots worldwide to allow for the exploration of global patterns in taxonomic, functional and phylogenetic diversity at the plant community level. Results sPlot version 2.1 contains records from 1,121,244 vegetation plots, which comprise 23,586,216 records of plant species and their relative cover or abundance in plots collected worldwide between 1885 and 2015. We complemented the information for each plot by retrieving climate and soil conditions and the biogeographic context (e.g., biomes) from external sources, and by calculating community-weighted means and variances of traits using gap-filled data from the global plant trait database TRY. Moreover, we created a phylogenetic tree for 50,167 out of the 54,519 species identified in the plots. We present the first maps of global patterns of community richness and community-weighted means of key traits. Conclusions The availability of vegetation plot data in sPlot offers new avenues for vegetation analysis at the global scale.

Published
2019

43. Ancient refugia and present-day habitat suitability of native laurophylls in Italy

Author

Alessi, Nicola, Tesitel, Jakub, Zerbe, Stefan, Spada, Francesco, Agrillo, Emiliano, Wellstein, Camilla, Alessi, Nicola, Tesitel, Jakub, Zerbe, Stefan, Spada, Francesco, Agrillo, Emiliano, and Wellstein, Camilla

Abstract

Questions European native laurophyllous species are interesting for their biogeography and evolutionary history, as well as for their responses to global changes. We identified Italian native laurophylls on the basis of morphology, biogeographical history and ecological niche to study whether these species are in equilibrium with the present-day climate. Furthermore, we localized Quaternary refugia and areas of potential spread of native laurophylls using distribution patterns of realized and potential aggregations of native laurophylls, respectively. Location Italy. Methods We extracted data for 17 087 forest plots from a phytosociological database. Detrended Correspondence Analysis of these plots with overlay of climatic and environmental variables was performed to identify native laurophylls, i.e., evergreen broad-leaved species of late Tertiary radiation, occupying a warm and humid niche. Potential ranges of laurophylls were calculated using Beals' index of sociological favourability. The realized/potential range-size ratio was calculated for each single laurophyll to understand whether it is in equilibrium with the present-day climate. Distribution patterns of realized and potential aggregations of laurophylls were mapped. Results Ordination analysis provided a selection of 11 species as Italian native laurophylls. Most of them occupied less than half of their estimated potential range. Realized aggregations richest in native laurophylls were localized in the central Apennines. However, the Italian forests showed high potential for native laurophylls with the richest potential aggregations in the whole Apennines and in the southern Alps. Conclusions Most of the Italian native laurophylls showed non-equilibrium with the current climate, suggesting that late-Quaternary events could better explain their present-day distribution than on-going climate change. Furthermore, their refugia in central Italy suggest the persistence in sites with temperate climate during Q

Published
2019
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44. Modelling the distribution and compositional variation of plant communities at the continental scale

Author

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

Abstract

Aim: To investigate whether (1) environmental predictors allow to delineate the distri- bution of discrete community types at the continental scale and (2) how data complete- ness influences model generalization in relation to the compositional variation of the modelled entities.

Published
2019

45. Evaluating climatic threats to habitat types based on co-occurrence patterns of characteristic species

Author

Baatar, Undrakh-Od, primary, Dirnböck, Thomas, additional, Essl, Franz, additional, Moser, Dietmar, additional, Wessely, Johannes, additional, Willner, Wolfgang, additional, Jiménez-Alfaro, Borja, additional, Agrillo, Emiliano, additional, Csiky, János, additional, Indreica, Adrian, additional, Jandt, Ute, additional, Kącki, Zygmunt, additional, Šilc, Urban, additional, Škvorc, Željko, additional, Stančić, Zvjezdana, additional, Valachovič, Milan, additional, and Dullinger, Stefan, additional

Published
2019
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46. Alpha diversity of vascular plants in European forests

Author

Večeřa, Martin, primary, Divíšek, Jan, additional, Lenoir, Jonathan, additional, Jiménez‐Alfaro, Borja, additional, Biurrun, Idoia, additional, Knollová, Ilona, additional, Agrillo, Emiliano, additional, Campos, Juan Antonio, additional, Čarni, Andraž, additional, Crespo Jiménez, Guillermo, additional, Ćuk, Mirjana, additional, Dimopoulos, Panayotis, additional, Ewald, Jörg, additional, Fernández‐González, Federico, additional, Gégout, Jean‐Claude, additional, Indreica, Adrian, additional, Jandt, Ute, additional, Jansen, Florian, additional, Kącki, Zygmunt, additional, Rašomavičius, Valerijus, additional, Řezníčková, Marcela, additional, Rodwell, John S., additional, Schaminée, Joop H.J., additional, Šilc, Urban, additional, Svenning, Jens‐Christian, additional, Swacha, Grzegorz, additional, Vassilev, Kiril, additional, Venanzoni, Roberto, additional, Willner, Wolfgang, additional, Wohlgemuth, Thomas, additional, and Chytrý, Milan, additional

Published
2019
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48. sPlot – A new tool for global vegetation analyses

Author

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

Published
2019
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