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6. GrassPlot - a Database of Multi-Scale Plant Diversity in Palaearctic Grasslands

Author

Dengler, Jurgen, Wagner, Victoria, Dembicz, Iwona, Garcfa-Mijangos, ltziar, Naqinezhad, Alireza, Boch, Steffen, Chiarucci, Alessandro, Conradi, Timo, Filibeck, Goffredo, Guarino, Riccardo, Janisova, Monika, Steinbauer, Manuel J, Acic, Svetlana, Acosta, Alicia T. R, Akasaka, Munemitsu, Allers, Marc-Andre, Apostolova, Iva, Axmanova, Irena, Bakan, Branko, Baranova, Alina, Bardy-Durchhalter, Manfred, Bartha, Sandor, Baumann, Esther, Becker, Thomas, Becker, Ute, Belonovskaya, Elena, Bengtsson, Karin, Alonso, Jose Luis Benito, Berastegi, Asun, Bergamini, Ariel, Bonini, Ilaria, Bruun, Hans Henrik, Budzhak, Vasyl, Bueno, Alvaro, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Chocarro, Cristina, Conti, Luisa, Czarniecka-Wiera, Marta, Frenne, Pieter De, Deak, Balazs, Didukh, Yakiv P, Diekmann, Martin, Dolnik, Christian, Dupre, Cecilia, Ecker, Klaus, Ermakov, Nikolai, Erschbamer, Brigitta, Escudero, Adrian, Etayo, Javier, Fajmonova, Zuzana, Felde, Vivian A, Calzado, Maria Rosa Fernandez, Finckh, Manfred, Fotiadis, Georgios, Fracchiolla, Mariano, Ganeva, Anna, Garcfa-Magro, Daniel, Gavilan, Rosario G, Germany, Markus, Giladi, ltamar, Gillet, Francois, Galdo, Gian Pietro Giusso del, Gonzalez, Jose M, Grytnes, John-Arvid, Hajek, Michal, Hajkova, Petra, Helm, Aveliina, Herrera, Mercedes, Hettenbergerova, Eva, Hobohm, Carsten, Hullbusch, Elisabeth M, lngerpuu, Nele, Jandt, Ute, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Jeschke, Michael, Jimenez-Alfaro, Borja, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kavgaci, Ali, Kelemen, Andras, Kiehl, Kathrin, Koyama, Asuka, Koyanagi, Tamayo F, Kozub, Lukasz, Kuzemko, Anna, Kyrkjeeide, Magni Olsen, Landi, Sara, Langer, Nancy, Lastrucci, Lorenzo, Lazzaro, Lorenzo, Lelli, Chiara, Leps, Jan, Lobel, Swantje, Luzuriaga, Arantzazu L, Maccherini, Simona, Magnes, Martin, Malicki, Marek, Marceno, Corrado, Mardari, Constantin, Mauchamp, Leslie, May, Felix, Michelsen, Ottar, Mesa, Joaquin Melero, Molnar, Zsolt, Moysiyenko, Ivan Y, Nakaga, Yuko K, Natcheva, Rayna, Noroozi, Jalil, Pakeman, Robin J, Palpurina, Salza, Partel, Meelis, Patsch, Ricarda, Pauli, Harald, Pedashenko, Hristo, Peet, Robert K, Pielech, Remigiusz, Pipenbaher, Natasa, Pirini, Chrisoula, Pleskova, Zuzana, Polyakova, Mariya A, Prentice, Honor C, Reinecke, Jennifer, Reitalu, Triin, Rodriguez-Rojo, Maria Pilar, Rolecek, Jan, Rankin, Vladimir, Rosati, Leonardo, Rosen, Ejvind, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Sanchez, Ana Marfa, Savchenko, Galina, Schuhmacher, Oliver, Skornik, Sonja, Sperandii, Marta Gaia, Staniaszek-Kik, Monika, Stevanovic-Dajic, Zora, Stock, Marin, Suchrow, Sigrid, Sutcliffe, Laura M.E, Swacha, Grzegorz, Sykes, Martin, Szabo, Anna, Talebi, Amir, Tanase, Catalin, Terzi, Massimo, Tolgyesi, Csaba, Torca, Marta, Torok, Peter, Tothmeresz, Bela, Tsarevskaya, Nadezda, Tsiripidis, loannis, Tzonev, Rossen, Ushimaru, Atushi, Valko, Orsolya, Maarel, Eddy van der, Vanneste, Thomas, Vashenyak, luliia, Vassilev, Kiril, Viciani, Daniele, Villar, Luis, Virtanen, Risto, Kasie, Ivana Vitasovic, Wang, Yun, Weiser, Frank, Went, Julia, Wesche, Karsten, White, Hannah, Winkler, Manuela, Zaniewski, Piotr T, Zhang, Hui, Ziv, Varon, Znamenskiy, Sergey, and Biurrun, ldoia

Subjects
Geosciences (General), Documentation And Information Science
Abstract

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG)and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (releves) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m_) and on nested-plot series withat least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata.However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetation plot databases, such as the European Vegetation Archive (EVA) and the global database "sPlot". Its main aim is to facilitate studies on the scale- and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board.

Published
2018
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8. Distance decay 2.0-A global synthesis of taxonomic and functional turnover in ecological communities

Author

Graco-roza, Caio, Aarnio, Sonja, Abrego, Nerea, Acosta, Alicia T. R., Alahuhta, Janne, Altman, Jan, Angiolini, Claudia, Aroviita, Jukka, Attorre, Fabio, Baastrup-spohr, Lars, Barrera-alba, Jose J., Belmaker, Jonathan, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Burrascano, Sabina, Carboni, Marta, Cardoso, Pedro, Carvalho, Jose C., Castaldelli, Giuseppe, Christensen, Morten, Correa, Gilsineia, Dembicz, Iwona, Dengler, Jurgen, Dolezal, Jiri, Domingos, Patricia, Eros, Tibor, Ferreira, Carlos E. L., Filibeck, Goffredo, Floeter, Sergio R., Friedlander, Alan M., Gammal, Johanna, Gavioli, Anna, Gossner, Martin M., Granot, Itai, Guarino, Riccardo, Gustafsson, Camilla, Hayden, Brian, He, Siwen, Heilmann-clausen, Jacob, Heino, Jani, Hunter, John T., Huszar, Vera L. M., Janisova, Monika, Jyrkankallio-mikkola, Jenny, Kahilainen, Kimmo K., Kemppinen, Julia, Kozub, Lukasz, Kruk, Carla, Kulbiki, Michel, Kuzemko, Anna, Christiaan Le Roux, Peter, Lehikoinen, Aleksi, Teixeira De Lima, Domenica, Lopez-urrutia, Angel, Lukacs, Balazs A., Luoto, Miska, Mammola, Stefano, Marinho, Marcelo M., Menezes, Luciana S., Milardi, Marco, Miranda, Marcela, Moser, Gleyci A. O., Mueller, Joerg, Niittynen, Pekka, Norkko, Alf, Nowak, Arkadiusz, Ometto, Jean P., Ovaskainen, Otso, Overbeck, Gerhard E., Pacheco, Felipe S., Pajunen, Virpi, Palpurina, Salza, Picazo, Felix, Prieto, Juan A. C., Rodil, Ivan F., Sabatini, Francesco M., Salingre, Shira, De Sanctis, Michele, Segura, Angel M., Da Silva, Lucia H. S., Stevanovic, Zora D., Swacha, Grzegorz, Teittinen, Anette, Tolonen, Kimmo T., Tsiripidis, Ioannis, Virta, Leena, Wang, Beixin, Wang, Jianjun, Weisser, Wolfgang, Xu, Yuan, Soininen, Janne, Graco-roza, Caio, Aarnio, Sonja, Abrego, Nerea, Acosta, Alicia T. R., Alahuhta, Janne, Altman, Jan, Angiolini, Claudia, Aroviita, Jukka, Attorre, Fabio, Baastrup-spohr, Lars, Barrera-alba, Jose J., Belmaker, Jonathan, Biurrun, Idoia, Bonari, Gianmaria, Bruelheide, Helge, Burrascano, Sabina, Carboni, Marta, Cardoso, Pedro, Carvalho, Jose C., Castaldelli, Giuseppe, Christensen, Morten, Correa, Gilsineia, Dembicz, Iwona, Dengler, Jurgen, Dolezal, Jiri, Domingos, Patricia, Eros, Tibor, Ferreira, Carlos E. L., Filibeck, Goffredo, Floeter, Sergio R., Friedlander, Alan M., Gammal, Johanna, Gavioli, Anna, Gossner, Martin M., Granot, Itai, Guarino, Riccardo, Gustafsson, Camilla, Hayden, Brian, He, Siwen, Heilmann-clausen, Jacob, Heino, Jani, Hunter, John T., Huszar, Vera L. M., Janisova, Monika, Jyrkankallio-mikkola, Jenny, Kahilainen, Kimmo K., Kemppinen, Julia, Kozub, Lukasz, Kruk, Carla, Kulbiki, Michel, Kuzemko, Anna, Christiaan Le Roux, Peter, Lehikoinen, Aleksi, Teixeira De Lima, Domenica, Lopez-urrutia, Angel, Lukacs, Balazs A., Luoto, Miska, Mammola, Stefano, Marinho, Marcelo M., Menezes, Luciana S., Milardi, Marco, Miranda, Marcela, Moser, Gleyci A. O., Mueller, Joerg, Niittynen, Pekka, Norkko, Alf, Nowak, Arkadiusz, Ometto, Jean P., Ovaskainen, Otso, Overbeck, Gerhard E., Pacheco, Felipe S., Pajunen, Virpi, Palpurina, Salza, Picazo, Felix, Prieto, Juan A. C., Rodil, Ivan F., Sabatini, Francesco M., Salingre, Shira, De Sanctis, Michele, Segura, Angel M., Da Silva, Lucia H. S., Stevanovic, Zora D., Swacha, Grzegorz, Teittinen, Anette, Tolonen, Kimmo T., Tsiripidis, Ioannis, Virta, Leena, Wang, Beixin, Wang, Jianjun, Weisser, Wolfgang, Xu, Yuan, and Soininen, Janne

Abstract

Aim: Understanding the variation in community composition and species abundances (i.e., beta-diversity) is at the heart of community ecology. A common approach to examine beta-diversity is to evaluate directional variation in community composition by measuring the decay in the similarity among pairs of communities along spatial or environmental distance. We provide the first global synthesis of taxonomic and functional distance decay along spatial and environmental distance by analysing 148 datasets comprising different types of organisms and environments. Location: Global. Time period: 1990 to present. Major taxa studied: From diatoms to mammals. Method: We measured the strength of the decay using ranked Mantel tests (Mantel r) and the rate of distance decay as the slope of an exponential fit using generalized linear models. We used null models to test whether functional similarity decays faster or slower than expected given the taxonomic decay along the spatial and environmental distance. We also unveiled the factors driving the rate of decay across the datasets, including latitude, spatial extent, realm and organismal features. Results: Taxonomic distance decay was stronger than functional distance decay along both spatial and environmental distance. Functional distance decay was random given the taxonomic distance decay. The rate of taxonomic and functional spatial distance decay was fastest in the datasets from mid-latitudes. Overall, datasets covering larger spatial extents showed a lower rate of decay along spatial distance but a higher rate of decay along environmental distance. Marine ecosystems had the slowest rate of decay along environmental distances. Main conclusions: In general, taxonomic distance decay is a useful tool for biogeographical research because it reflects dispersal-related factors in addition to species responses to climatic and environmental variables. Moreover, functional distance decay might be a cost-effective option for investigating

Published
2022
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10. Benchmarking plant diversity of Palaearctic grasslands and other open habitats

Author

Biurrun, Idoia, Biurrun, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, François, Kozub, Lukasz, Marcenò, Corrado, Reitalu, Triin, Van Meerbeek, Koenraad, Guarino, Riccardo, Chytrý, Milan, Pakeman, Robin J., Preislerová, Zdenka, Axmanová, Irena, Burrascano, Sabina, Bartha, Sándor, Boch, Steffen, Bruun, Hans Henrik, Conradi, Timo, De Frenne, Pieter, Essl, Franz, Filibeck, Goffredo, Hájek, Michal, Jiménez- Alfaro, Borja, Kuzemko, Anna, Molnár, Zsolt, Pärtel, Meelis, Pätsch, Ricarda, Prentice, Honor C., Roleček, Jan, Sutcliffe, Laura M. E., Terzi, Massimo, Winkler, Manuela, Wu, Jianshuang, Aćić, Svetlana, Acosta, Alicia T. R., Afif, Elias, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Aleksanyan, Alla, Ali, Arshad, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thomas, Belonovskaya, Elena, Benito Alonso, José Luis, Berastegi, Asun, Bergamini, Ariel, Prasad Bhatta, Kuber, Bonini, Ilaria, Büchler, Marc-Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ceulemans, Tobias, Chiarucci, Alessandro, Chocarro, Cristina, Conti, Luisa, Csergo, Anna Maria, Cykowska-Marzencka, Beata, Czarniecka-Wiera, Marta, Czarnocka-Cieciura, Marta, Czortek, Patryk, Danihelka, Jiri, de Bello, Francesco, Deák, Balázs, Demeter, László, Deng, Lei, Diekmann, Martin, Dolezal, Jiri, Dolnik, Christian, Drevojan, Pavel, Dupré, Cecilia, Ecker, Klaus, Ejtehadi, Hamid, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Fayvush, George, Fernández Calzado, Maria Rosa, Finckh, Manfred, Fjellstad, Wendy, Fotiadis, Georgios, Garcia-Margo, Daniel, Garcia-Mijangos, Itziar, Gavilán, Rosario G., Germany, Markus, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John- Arvid, Güler, Behlül, Gutiérrez- Girón, Alba, Helm, Aveliina, Herrera, Mercedes, Hüllbusch, Elisabeth M., Ingerpuu, Nele, Jagerbrand, Annika K., Jandt, Ute, Janišová, Monika, Jeanneret, Philippe, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kargar, Mansoureh, Kelemen, Andras, Kiehl, Kathrin, Kirschner, Philipp, Koyama, Asuka, Langer, Nancy, Lazzaro, Lorenzo, Lepš, Jan, Li, Ching- Feng, Li, Frank Yonghong, Liendo, Diego, Lindborg, Regina, Löbel, Swantje, Lomba, Angela, Lososova, Zdenka, Lustyk, Pavel, Luzuriaga, Arantzazu L., Ma, Wenhong, Maccherini, Simona, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Mayrhofer, Helmut, Seraina Meier, Eliane, Memariani, Farshid, Merunkova, Kristina, Michelsen, Ottar, Molero Mesa, Joaquin, Moradi, Halime, Moysiyenko, Ivan, Mugnai, Michele, Naqinezhad, Alireza, Natcheva, Rayna, Ninot, Josep M., Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onipchenko, Vladimir, Palpurina, Salza, Pauli, Harald, Pedashenko, Hristo, Pedersen, Christian, Peet, Robert K., Pérez- Haase, Aaron, Peters, Jan, Pipenbaher, Nataša, Pirini, Chrisoula, Pladevall- Izard, Eulàlia, Plesková, Zuzana, Potenza, Giovanna, Rahmanian, Soroor, Rodriguez-Rojo, Maria-Pilar, Ronkin, Vladimir, Rosati, Leonardo, Ruprecht, Eszter, Rusina, Solvita, Sabovljević, Marko, Sanaei, Anvar, Sánchez, Ana M., Santi, Francesco, Savchenko, Galina, Sebastià, Maria Teresa, Shyriaieva, Dariia, Silva, Vasco, Škornik, Sonja, Šmerdová, Eva, Sonkoly, Judit, Sperandii, Marta Gaia, Staniaszek-Kik, Monika, Stevens, Carly, Stifter, Simon, Suchrow, Sigrid, Swacha, Grzegorz, Swierszcz, Sebastian, Talebi, Amir, Teleki, Balázs, Tichy, Lubomir, Tölgyesi, Csaba, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Turisová, Ingrid, Ushimaru, Atushi, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thomas, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Luis, Virtanen, Risto, Vitasović-Kosić, Ivana, Vojtkó, András, Vynokurov, Denys, Waldén, Emelie, Wang, Yun, Weiser, Frank, Wen, Lu, Wesche, Karsten, White, Hannah, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Zelený, David, Zhao, Liqing, Dengler, Jürgen, Biurrun, Idoia, Biurrun, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, François, Kozub, Lukasz, Marcenò, Corrado, Reitalu, Triin, Van Meerbeek, Koenraad, Guarino, Riccardo, Chytrý, Milan, Pakeman, Robin J., Preislerová, Zdenka, Axmanová, Irena, Burrascano, Sabina, Bartha, Sándor, Boch, Steffen, Bruun, Hans Henrik, Conradi, Timo, De Frenne, Pieter, Essl, Franz, Filibeck, Goffredo, Hájek, Michal, Jiménez- Alfaro, Borja, Kuzemko, Anna, Molnár, Zsolt, Pärtel, Meelis, Pätsch, Ricarda, Prentice, Honor C., Roleček, Jan, Sutcliffe, Laura M. E., Terzi, Massimo, Winkler, Manuela, Wu, Jianshuang, Aćić, Svetlana, Acosta, Alicia T. R., Afif, Elias, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Aleksanyan, Alla, Ali, Arshad, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thomas, Belonovskaya, Elena, Benito Alonso, José Luis, Berastegi, Asun, Bergamini, Ariel, Prasad Bhatta, Kuber, Bonini, Ilaria, Büchler, Marc-Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ceulemans, Tobias, Chiarucci, Alessandro, Chocarro, Cristina, Conti, Luisa, Csergo, Anna Maria, Cykowska-Marzencka, Beata, Czarniecka-Wiera, Marta, Czarnocka-Cieciura, Marta, Czortek, Patryk, Danihelka, Jiri, de Bello, Francesco, Deák, Balázs, Demeter, László, Deng, Lei, Diekmann, Martin, Dolezal, Jiri, Dolnik, Christian, Drevojan, Pavel, Dupré, Cecilia, Ecker, Klaus, Ejtehadi, Hamid, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Fayvush, George, Fernández Calzado, Maria Rosa, Finckh, Manfred, Fjellstad, Wendy, Fotiadis, Georgios, Garcia-Margo, Daniel, Garcia-Mijangos, Itziar, Gavilán, Rosario G., Germany, Markus, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John- Arvid, Güler, Behlül, Gutiérrez- Girón, Alba, Helm, Aveliina, Herrera, Mercedes, Hüllbusch, Elisabeth M., Ingerpuu, Nele, Jagerbrand, Annika K., Jandt, Ute, Janišová, Monika, Jeanneret, Philippe, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kargar, Mansoureh, Kelemen, Andras, Kiehl, Kathrin, Kirschner, Philipp, Koyama, Asuka, Langer, Nancy, Lazzaro, Lorenzo, Lepš, Jan, Li, Ching- Feng, Li, Frank Yonghong, Liendo, Diego, Lindborg, Regina, Löbel, Swantje, Lomba, Angela, Lososova, Zdenka, Lustyk, Pavel, Luzuriaga, Arantzazu L., Ma, Wenhong, Maccherini, Simona, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Mayrhofer, Helmut, Seraina Meier, Eliane, Memariani, Farshid, Merunkova, Kristina, Michelsen, Ottar, Molero Mesa, Joaquin, Moradi, Halime, Moysiyenko, Ivan, Mugnai, Michele, Naqinezhad, Alireza, Natcheva, Rayna, Ninot, Josep M., Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onipchenko, Vladimir, Palpurina, Salza, Pauli, Harald, Pedashenko, Hristo, Pedersen, Christian, Peet, Robert K., Pérez- Haase, Aaron, Peters, Jan, Pipenbaher, Nataša, Pirini, Chrisoula, Pladevall- Izard, Eulàlia, Plesková, Zuzana, Potenza, Giovanna, Rahmanian, Soroor, Rodriguez-Rojo, Maria-Pilar, Ronkin, Vladimir, Rosati, Leonardo, Ruprecht, Eszter, Rusina, Solvita, Sabovljević, Marko, Sanaei, Anvar, Sánchez, Ana M., Santi, Francesco, Savchenko, Galina, Sebastià, Maria Teresa, Shyriaieva, Dariia, Silva, Vasco, Škornik, Sonja, Šmerdová, Eva, Sonkoly, Judit, Sperandii, Marta Gaia, Staniaszek-Kik, Monika, Stevens, Carly, Stifter, Simon, Suchrow, Sigrid, Swacha, Grzegorz, Swierszcz, Sebastian, Talebi, Amir, Teleki, Balázs, Tichy, Lubomir, Tölgyesi, Csaba, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Turisová, Ingrid, Ushimaru, Atushi, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thomas, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Luis, Virtanen, Risto, Vitasović-Kosić, Ivana, Vojtkó, András, Vynokurov, Denys, Waldén, Emelie, Wang, Yun, Weiser, Frank, Wen, Lu, Wesche, Karsten, White, Hannah, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Zelený, David, Zhao, Liqing, and Dengler, Jürgen

Abstract

Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroecological research and biodiversity conservation. Using the GrassPlot database, we provide benchmarks of fine-grain richness values of Palaearctic open habitats for vascular plants, bryophytes, lichens and complete vegetation (i.e., the sum of the former three groups). Location: Palaearctic biogeographic realm. Methods: We used 126,524 plots of eight standard grain sizes from the GrassPlot database: 0.0001, 0.001, 0.01, 0.1, 1, 10, 100 and 1,000 m2 and calculated the mean richness and standard deviations, as well as maximum, minimum, median, and first and third quartiles for each combination of grain size, taxonomic group, biome, region, vegetation type and phytosociological class. Results: Patterns of plant diversity in vegetation types and biomes differ across grain sizes and taxonomic groups. Overall, secondary (mostly semi-natural) grasslands and natural grasslands are the richest vegetation type. The open-access file ”GrassPlot Diversity Benchmarks” and the web tool “GrassPlot Diversity Explorer” are now available online (https://edgg.org/databases/GrasslandDiversityExplorer) and provide more insights into species richness patterns in the Palaearctic open habitats. Conclusions: The GrassPlot Diversity Benchmarks provide high-quality data on species richness in open habitat types across the Palaearctic. These benchmark data can be used in vegetation ecology, macroecology, biodiversity conservation and data quality checking. While the amount of data in the underlying GrassPlot database and their spatial coverage are smaller than in other extensive vegetation-plot databases, species recordings in GrassPlot are on average more complete, making it a valuable complementary data source in macroecology.

Published
2021

11. Fine-grain beta diversity of Palaearctic grassland vegetation

Author

Dembicz, Iwona, Dembicz, Iwona, Dengler, Jürgen, Steinbauer, Manuel J., Matthews, Thomas J., Bartha, Sándor, Burrascano, Sabina, Chiarucci, Alessandro, Filibeck, Goffredo, Gillet, François, Janišová, Monika, Palpurina, Salza, Storch, David, Ulrich, Werner, Aćić, Svetlana, Boch, Steffen, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ciaschetti, Giampiero, Conradi, Timo, De Frenne, Pieter, Dolezal, Jiri, Dolnik, Christian, Essl, Franz, Fantinato, Edy, García-Mijangos, Itziar, Giusso del Galdo, Gian Pietro, Grytnes, John- Arvid, Guarino, Riccardo, Güler, Behlül, Kapfer, Jutta, Klichowska, Ewelina, Kozub, Lukasz, Kuzemko, Anna, Löbel, Swantje, Manthey, Michael, Marcenò, Corrado, Mimet, Anne, Naqinezhad, Alireza, Noroozi, Jalil, Nowak, Arkadiusz, Pauli, Harald, Peet, Robert K., Pellissier, Vincent, Pielech, Remigiusz, Terzi, Massimo, Ugurlu, Emin, Valkó, Orsolya, Vasheniak, Iuliia, Vassilev, Kiril, Vynokurov, Denys, White, Hannah J., Willner, Wolfgang, Winkler, Manuela, Wolfrum, Sebastian, Zhang, Jinghui, Biurrun, Idoia, Dembicz, Iwona, Dembicz, Iwona, Dengler, Jürgen, Steinbauer, Manuel J., Matthews, Thomas J., Bartha, Sándor, Burrascano, Sabina, Chiarucci, Alessandro, Filibeck, Goffredo, Gillet, François, Janišová, Monika, Palpurina, Salza, Storch, David, Ulrich, Werner, Aćić, Svetlana, Boch, Steffen, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ciaschetti, Giampiero, Conradi, Timo, De Frenne, Pieter, Dolezal, Jiri, Dolnik, Christian, Essl, Franz, Fantinato, Edy, García-Mijangos, Itziar, Giusso del Galdo, Gian Pietro, Grytnes, John- Arvid, Guarino, Riccardo, Güler, Behlül, Kapfer, Jutta, Klichowska, Ewelina, Kozub, Lukasz, Kuzemko, Anna, Löbel, Swantje, Manthey, Michael, Marcenò, Corrado, Mimet, Anne, Naqinezhad, Alireza, Noroozi, Jalil, Nowak, Arkadiusz, Pauli, Harald, Peet, Robert K., Pellissier, Vincent, Pielech, Remigiusz, Terzi, Massimo, Ugurlu, Emin, Valkó, Orsolya, Vasheniak, Iuliia, Vassilev, Kiril, Vynokurov, Denys, White, Hannah J., Willner, Wolfgang, Winkler, Manuela, Wolfrum, Sebastian, Zhang, Jinghui, and Biurrun, Idoia

Abstract

Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups?. Location: Palaearctic biogeographic realm. Methods: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whether z-values differed among taxonomic groups and with respect to biogeographic gradients (latitude, elevation, macroclimate), ecological (site) characteristics (several stress–productivity, disturbance and heterogeneity measures, including land use) and alpha diversity (c-value of the power law SAR). Results: Mean z-values were highest for lichens, intermediate for vascular plants and lowest for bryophytes. Bivariate regressions of z-values against environmental variables had rather low predictive power (mean R² = 0.07 for vascular plants, less for other taxa). For vascular plants, the strongest predictors of z-values were herb layer cover (negative), elevation (positive), rock and stone cover (positive) and the c-value (U-shaped). All tested metrics related to land use (fertilization, livestock grazing, mowing, burning, decrease in naturalness) led to a decrease in z-values. Other predictors had little or no impact on z-values. The patterns for bryophytes, lichens and all taxa combined were similar but weaker than those for vascular plants. Conclusions: We conclude that productivity has negative and heterogeneity positive effects on z-values, while the effect of disturbance varies depending on type and intensity. These patterns and the differences among taxonomic groups can be explained v

Published
2021

13. Steppe islands : where island biogeography meets the reality of a severely fragmented habitat

Author

Dembicz, Iwona, Moysiyenko, Ivan I., Kozub, Lukasz, Dengler, Jürgen, Zakharova, Maryna, Sudnik-Wojcikowska, Barbara, Dembicz, Iwona, Moysiyenko, Ivan I., Kozub, Lukasz, Dengler, Jürgen, Zakharova, Maryna, and Sudnik-Wojcikowska, Barbara

Abstract

Aim:In southern Ukraine steppe has survived only in nature reserves, loess ravines, old cemeteries and kurgans (tumuli, burial mounds). Kurgans are small, but numerous objects resembling “islands” in “the sea” of arable land. We asked: i) how strongly does vascular plant species richness on kurgans depend on their size and does this relationship differ between steppe specialists and generalist species? ii) Which other factors influence vascular plant species richness on kurgans? Location: Southern Ukraine. Methods: We recorded species lists and environmental conditions of 112 kurgans. With non-linear regression we analyzed species-area relationships (SARs) for all species and steppe and generalists species separately. Then, we assessed importance of other factors in explaining the residuals of the SAR models using simultaneous autoregressive models and multimodel inference. Results: Kurgan area had strong influence on species richness of all groups of species, but particularly on richness of steppe specialists. The estimates of slope of the power function (z-values) in the models for total species richness were high for total species richness (0.32), but even higher for steppe species (0.49) and lower for generalist species (0.18). For total species richness and steppe species, the most important predictors in addition to area were steepness of the kurgan (positive), distance to steppe enclave (negative) and precipitation of the warm period (negative). For steppe species also habitat amount index (positive) and the disturbance (negative) were important predictors. For generalist species, the only important predictors were land use in the surrounding (lower when only arable fields) and steepness of a kurgan (positive). Main conclusions: Our results indicate that kurgans are habitat islands only for steppe habitat specialists. For this group of species, area and isolation are important predictors of species richness, what is in accordance with the theory of island bio

Published
2020

14. Steppe islands : where island biogeography meets the reality of a severely fragmented habitat

Author

Dembicz, Iwona, Moysiyenko, Ivan I., Kozub, Lukasz, Dengler, Jürgen, Zakharova, Maryna, and Sudnik-Wojcikowska, Barbara

Subjects
Steppe, 580: Pflanzen (Botanik), fungi, Island biogeography
Abstract

Aim:In southern Ukraine steppe has survived only in nature reserves, loess ravines, old cemeteries and kurgans (tumuli, burial mounds). Kurgans are small, but numerous objects resembling “islands” in “the sea” of arable land. We asked: i) how strongly does vascular plant species richness on kurgans depend on their size and does this relationship differ between steppe specialists and generalist species? ii) Which other factors influence vascular plant species richness on kurgans? Location: Southern Ukraine. Methods: We recorded species lists and environmental conditions of 112 kurgans. With non-linear regression we analyzed species-area relationships (SARs) for all species and steppe and generalists species separately. Then, we assessed importance of other factors in explaining the residuals of the SAR models using simultaneous autoregressive models and multimodel inference. Results: Kurgan area had strong influence on species richness of all groups of species, but particularly on richness of steppe specialists. The estimates of slope of the power function (z-values) in the models for total species richness were high for total species richness (0.32), but even higher for steppe species (0.49) and lower for generalist species (0.18). For total species richness and steppe species, the most important predictors in addition to area were steepness of the kurgan (positive), distance to steppe enclave (negative) and precipitation of the warm period (negative). For steppe species also habitat amount index (positive) and the disturbance (negative) were important predictors. For generalist species, the only important predictors were land use in the surrounding (lower when only arable fields) and steepness of a kurgan (positive). Main conclusions: Our results indicate that kurgans are habitat islands only for steppe habitat specialists. For this group of species, area and isolation are important predictors of species richness, what is in accordance with the theory of island biogeography, while also local factors play a role.

Published
2019

15. 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

16. Are we restoring functional fens? : The outcomes of restoration projects in fens re-analysed with plant functional traits

Author

Klimkowska, Agata, Goldstein, Klara, Wyszomirski, Tomasz, Kozub, Lukasz, Wilk, Mateusz, Aggenbach, Camiel, Bakker, Jan P., Belting, Heinrich, Beltman, Boudewijn, Blüml, Volker, De Vries, Yzaak, Geiger-Udod, Beate, Grootjans, Ab P., Hedberg, Petter, Jager, Henk J., Kerkhof, Dick, Kollmann, Johannes, Pawlikowski, Pawel, Pleyl, Elisabeth, Reinink, Warner, Rydin, Håkan, Schrautzer, Joachim, Sliva, Jan, Stanko, Robert, Sundberg, Sebastian, Timmermann, Tiemo, Wolejko, Leslaw, van der Burg, Rob F., van der Hoek, Dick, van Diggelen, Jose M. H., van Heerden, Adrie, van Tweel, Loekie, Vegelin, Kees, Kotowski, Wiktor, Klimkowska, Agata, Goldstein, Klara, Wyszomirski, Tomasz, Kozub, Lukasz, Wilk, Mateusz, Aggenbach, Camiel, Bakker, Jan P., Belting, Heinrich, Beltman, Boudewijn, Blüml, Volker, De Vries, Yzaak, Geiger-Udod, Beate, Grootjans, Ab P., Hedberg, Petter, Jager, Henk J., Kerkhof, Dick, Kollmann, Johannes, Pawlikowski, Pawel, Pleyl, Elisabeth, Reinink, Warner, Rydin, Håkan, Schrautzer, Joachim, Sliva, Jan, Stanko, Robert, Sundberg, Sebastian, Timmermann, Tiemo, Wolejko, Leslaw, van der Burg, Rob F., van der Hoek, Dick, van Diggelen, Jose M. H., van Heerden, Adrie, van Tweel, Loekie, Vegelin, Kees, and Kotowski, Wiktor

Abstract

In peatland restoration we often lack an information whether re-established ecosystems are functionally similar to non-degraded ones. We re-analysed the long-term outcomes of restoration on vegetation and plant functional traits in 38 European fens restored by rewetting (18 sites) and topsoil removal (20 sites). We used traits related to nutrient acquisition strategies, competitiveness, seed traits, and used single- and multi-trait metrics. A separate set of vegetation records from near-natural fens with diverse plant communities was used to generate reference values to aid the comparisons. We found that both restoration methods enhanced the similarity of species composition to non-degraded systems but trait analysis revealed differences between the two approaches. Traits linked to nutrient acquisition strategies indicated that topsoil removal was more effective than rewetting. After topsoil removal competitive species in plant communities had decreased, while stress-tolerant species had increased. A substantial reduction in nutrient availability ruled out the effect of initial disturbance. An ability to survive and grow in anoxic conditions was enhanced after restoration, but the reference values were not achieved. Rewetting was more effective than topsoil removal in restricting variation in traits values permitted in re-developing vegetation. We found no indication of a shift towards reference in seed traits, which suggested that dispersal constraint and colonization deficit can be a widespread phenomena. Two functional diversity indices: functional richness and functional dispersion showed response to restoration and shifted values towards reference mires and away from the degraded systems. We concluded that targeting only one type of environmental stressor does not lead to a recovery of fens, as it provides insufficient level of stress to restore a functional ecosystem. In general, restoration efforts do not ensure the re-establishment and long-term persistence

Published
2019
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17. GrassPlot - a database of multi-scale plant diversity in Palaearctic grasslands

Author

Dengler, Juergen, Wagner, Viktoria, Dembicz, Iwona, Garcia-Mijangos, Itziar, Naqinezhad, Alireza, Boch, Steffen, Chiarucci, Alessandro, Conradi, Timo, Filibeck, Goffredo, Guarino, Riccardo, Janisova, Monika, Steinbauer, Manuel J., Acic, Svetlana, Acosta, Alicia T. R., Akasaka, Munemitsu, Allers, Marc-Andre, Apostolova, Iva, Axmanova, Irena, Bakan, Branko, Baranova, Alina, Bardy-Durchhalter, Manfred, Bartha, Sandor, Baumann, Esther, Becker, Thomas, Becker, Ute, Belonovskaya, Elena, Bengtsson, Karin, Benito Alonso, Jose Luis, Berastegi, Asun, Bergamini, Ariel, Bonini, Ilaria, Bruun, Hans Henrik, Budzhak, Vasyl, Bueno, Alvaro, Antonio Campos, Juan, Cancellieri, Laura, Carboni, Marta, Chocarro, Cristina, Conti, Luisa, Czarniecka-Wiera, Marta, De Frenne, Pieter, Deak, Balazs, Didukh, Yakiv P., Diekmann, Martin, Dolnik, Christian, Dupre, Cecilia, Ecker, Klaus, Ermakov, Nikolai, Erschbamer, Brigitta, Escudero, Adrian, Etayo, Javier, Fajmonova, Zuzana, Felde, Vivian A., Fernandez Calzado, Maria Rosa, Finckh, Manfred, Fotiadis, Georgios, Fracchiolla, Mariano, Ganeva, Anna, Garcia-Magro, Daniel, Gavilan, Rosario G., Germany, Markus, Giladi, Itamar, Gillet, Francois, Giusso del Galdo, Gian Pietro, Gonzalez, Jose M., Grytnes, John-Arvid, Hajek, Michal, Hajkova, Petra, Helm, Aveliina, Herrera, Mercedes, Hettenbergerova, Eva, Hobohm, Carsten, Huellbusch, Elisabeth M., Ingerpuu, Nele, Jandt, Ute, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Jeschke, Michael, Jimenez-Alfaro, Borja, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kavgaci, Ali, Kelemen, Andras, Kiehl, Kathrin, Koyama, Asuka, Koyanagi, Tomoyo F., Kozub, Lukasz, Kuzemko, Anna, Kyrkjeeide, Magni Olsen, Landi, Sara, Langer, Nancy, Lastrucci, Lorenzo, Lazzaro, Lorenzo, Lelli, Chiara, Leps, Jan, Loebel, Swantje, Luzuriaga, Arantzazu L., Maccherini, Simona, Magnes, Martin, Malicki, Marek, Marceno, Corrado, Mardari, Constantin, Mauchamp, Leslie, May, Felix, Michelsen, Ottar, Mesa, Joaquin Molero, Molnar, Zsolt, Moysiyenko, Ivan Y., Nakaga, Yuko K., Natcheva, Rayna, Noroozi, Jalil, Pakeman, Robin J., Palpurina, Salza, Partel, Meelis, Paetsch, Ricarda, Pauli, Harald, Pedashenko, Hristo, Peet, Robert K., Pielech, Remigiusz, Pipenbaher, Natasa, Pirini, Chrisoula, Pleskova, Zuzana, Polyakova, Mariya A., Prentice, Honor C., Reinecke, Jennifer, Reitalu, Triin, Pilar Rodriguez-Rojo, Maria, Rolecek, Jan, Ronkin, Vladimir, Rosati, Leonardo, Rosén, Ejvind, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Maria Sanchez, Ana, Savchenko, Galina, Schuhmacher, Oliver, Skornik, Sonja, Sperandii, Marta Gaia, Staniaszek-Kik, Monika, Stevanovic-Dajic, Zora, Stock, Marin, Suchrow, Sigrid, Sutcliffe, Laura M. E., Swacha, Grzegorz, Sykes, Martin, Szabo, Anna, Talebi, Amir, Tanase, Catalin, Terzi, Massimo, Tolgyesi, Csaba, Torca, Marta, Torok, Peter, Tothmeresz, Bela, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Tzonev, Rossen, Ushimaru, Atushi, Valko, Orsolya, van der Maarel, Eddy, Vanneste, Thomas, Vashenyak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Luis, Virtanen, Risto, Kosic, Ivana Vitasovic, Wang, Yun, Weiser, Frank, Went, Julia, Wesche, Karsten, White, Hannah, Winkler, Manuela, Zaniewski, Piotr T., Zhang, Hui, Ziv, Yaron, Znamenskiy, Sergey, Biurrun, Idoia, Dengler, Juergen, Wagner, Viktoria, Dembicz, Iwona, Garcia-Mijangos, Itziar, Naqinezhad, Alireza, Boch, Steffen, Chiarucci, Alessandro, Conradi, Timo, Filibeck, Goffredo, Guarino, Riccardo, Janisova, Monika, Steinbauer, Manuel J., Acic, Svetlana, Acosta, Alicia T. R., Akasaka, Munemitsu, Allers, Marc-Andre, Apostolova, Iva, Axmanova, Irena, Bakan, Branko, Baranova, Alina, Bardy-Durchhalter, Manfred, Bartha, Sandor, Baumann, Esther, Becker, Thomas, Becker, Ute, Belonovskaya, Elena, Bengtsson, Karin, Benito Alonso, Jose Luis, Berastegi, Asun, Bergamini, Ariel, Bonini, Ilaria, Bruun, Hans Henrik, Budzhak, Vasyl, Bueno, Alvaro, Antonio Campos, Juan, Cancellieri, Laura, Carboni, Marta, Chocarro, Cristina, Conti, Luisa, Czarniecka-Wiera, Marta, De Frenne, Pieter, Deak, Balazs, Didukh, Yakiv P., Diekmann, Martin, Dolnik, Christian, Dupre, Cecilia, Ecker, Klaus, Ermakov, Nikolai, Erschbamer, Brigitta, Escudero, Adrian, Etayo, Javier, Fajmonova, Zuzana, Felde, Vivian A., Fernandez Calzado, Maria Rosa, Finckh, Manfred, Fotiadis, Georgios, Fracchiolla, Mariano, Ganeva, Anna, Garcia-Magro, Daniel, Gavilan, Rosario G., Germany, Markus, Giladi, Itamar, Gillet, Francois, Giusso del Galdo, Gian Pietro, Gonzalez, Jose M., Grytnes, John-Arvid, Hajek, Michal, Hajkova, Petra, Helm, Aveliina, Herrera, Mercedes, Hettenbergerova, Eva, Hobohm, Carsten, Huellbusch, Elisabeth M., Ingerpuu, Nele, Jandt, Ute, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Jeschke, Michael, Jimenez-Alfaro, Borja, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kavgaci, Ali, Kelemen, Andras, Kiehl, Kathrin, Koyama, Asuka, Koyanagi, Tomoyo F., Kozub, Lukasz, Kuzemko, Anna, Kyrkjeeide, Magni Olsen, Landi, Sara, Langer, Nancy, Lastrucci, Lorenzo, Lazzaro, Lorenzo, Lelli, Chiara, Leps, Jan, Loebel, Swantje, Luzuriaga, Arantzazu L., Maccherini, Simona, Magnes, Martin, Malicki, Marek, Marceno, Corrado, Mardari, Constantin, Mauchamp, Leslie, May, Felix, Michelsen, Ottar, Mesa, Joaquin Molero, Molnar, Zsolt, Moysiyenko, Ivan Y., Nakaga, Yuko K., Natcheva, Rayna, Noroozi, Jalil, Pakeman, Robin J., Palpurina, Salza, Partel, Meelis, Paetsch, Ricarda, Pauli, Harald, Pedashenko, Hristo, Peet, Robert K., Pielech, Remigiusz, Pipenbaher, Natasa, Pirini, Chrisoula, Pleskova, Zuzana, Polyakova, Mariya A., Prentice, Honor C., Reinecke, Jennifer, Reitalu, Triin, Pilar Rodriguez-Rojo, Maria, Rolecek, Jan, Ronkin, Vladimir, Rosati, Leonardo, Rosén, Ejvind, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Maria Sanchez, Ana, Savchenko, Galina, Schuhmacher, Oliver, Skornik, Sonja, Sperandii, Marta Gaia, Staniaszek-Kik, Monika, Stevanovic-Dajic, Zora, Stock, Marin, Suchrow, Sigrid, Sutcliffe, Laura M. E., Swacha, Grzegorz, Sykes, Martin, Szabo, Anna, Talebi, Amir, Tanase, Catalin, Terzi, Massimo, Tolgyesi, Csaba, Torca, Marta, Torok, Peter, Tothmeresz, Bela, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Tzonev, Rossen, Ushimaru, Atushi, Valko, Orsolya, van der Maarel, Eddy, Vanneste, Thomas, Vashenyak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Luis, Virtanen, Risto, Kosic, Ivana Vitasovic, Wang, Yun, Weiser, Frank, Went, Julia, Wesche, Karsten, White, Hannah, Winkler, Manuela, Zaniewski, Piotr T., Zhang, Hui, Ziv, Yaron, Znamenskiy, Sergey, and Biurrun, Idoia

Abstract

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (releves) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001;... 1,000 m(2)) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetationplot databases, such as the European Vegetation Archive (EVA) and the global database " sPlot". Its main aim is to facilitate studies on the scale-and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board.

Published
2018
Full Text
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21. Microbiome recovery in rewetted fens.

Author

Emsens, Willem-Jan, van Diggelen, Rudy, Aggenbach, Camiel, Klimkowska, Agata, Kotowski, Wiktor, Kozub, Lukasz, Liczner, Yvonne, Seeber, Elke, Wilk, Mateusz, and Verbruggen, Erik

Published
2019

23. REPEAT: REstoration and prognosis of PEAT formation in fens - linking diversity in plant functional traits to soil biological and biogeochemical processes (2017-2019).

Author

Kotowski, Wiktor, Tanneberger, Franziska, Diggelen, Rudy van, Silvennoinen, Hanna, Hanganu, Jenica, Aggenbach, Camiel, Kreyling, Jürgen, Wilk, Mateusz, Føreid, Bente, Jaszczuk, Izabela, Jabłońska, Ewa, Seeber, Elke, Verbruggen, Erik, Klimkowska, Agata, Joosten, Hans, Kozub, Lukasz, Pronin, Eugeniusz, Michaelis, Dierk, Guixiang Li, and Emsens, Willem-Jan

Published
2018

24. GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

Author

Jürgen, Dengler, Viktoria, Wagner, Iwona, Dembicz, Itziar, García-Mijangos, Alireza, Naqinezhad, Steffen, Boch, Alessandro, Chiarucci, Timo, Conradi, Goffredo, Filibeck, Riccardo, Guarino, Monika, Janišová, Steinbauer, Manuel J., Svetlana, Aćić, Acosta, Alicia T. R., Munemitsu, Akasaka, Marc-Andre, Allers, Iva, Apostolova, Irena, Axmanová, Branko, Bakan, Alina, Baranova, Manfred, Bardy-Durchhalter, Sándor, Bartha, Esther, Baumann, Thomas, Becker, Ute, Becker, Elena, Belonovskaya, Karin, Bengtsson, José Luis Benito Alonso, Asun, Berastegi, Ariel, Bergamini, Ilaria, Bonini, Hans Henrik Bruun, Vasyl, Budzhak, Alvaro, Bueno, Juan Antonio Campos, Laura, Cancellieri, Marta, Carboni, Cristina, Chocarro, Luisa, Conti, Marta, Czarniecka-Wiera, Pieter De Frenne, Balázs, Deák, Didukh, Yakiv P., Martin, Diekmann, Christian, Dolnik, Cecilia, Dupré, Klaus, Ecker, Nikolai, Ermakov, Brigitta, Erschbamer, Adrián, Escudero, Javier, Etayo, Zuzana, Fajmonová, Felde, Vivian A., Maria Rosa Fernández Calzado, Manfred, Finckh, Georgios, Fotiadis, Mariano, Fracchiolla, Anna, Ganeva, Daniel, García-Magro, Gavilán, Rosario G., Markus, Germany, Itamar, Giladi, François, Gillet, GIUSSO DEL GALDO, Gianpietro, González, Jose M., John-Arvid, Grytnes, Michal, Hájek, Petra, Hájková, Aveliina, Helm, Mercedes, Herrera, Eva, Hettenbergerová, Carsten, Hobohm, Hüllbusch, Elisabeth M., Nele, Ingerpuu, Ute, Jandt, Florian, Jeltsch, Kai, Jensen, Anke, Jentsch, Michael, Jeschke, Borja, Jiménez-Alfaro, Zygmunt, Kącki, Kaoru, Kakinuma, Jutta, Kapfer, Ali, Kavgacı, András, Kelemen, Kathrin, Kiehl, Asuka, Koyama, Koyanagi, Tomoyo F., Łukasz, Kozub, Anna, Kuzemko, Magni Olsen Kyrkjeeide, Sara, Landi, Nancy, Langer, Lorenzo, Lastrucci, Lorenzo, Lazzaro, Chiara, Lelli, Jan, Lepš, Swantje, Löbel, Luzuriaga, Arantzazu L., Simona, Maccherini, Martin, Magnes, Marek, Malicki, Marceno', Corrado, Constantin, Mardari, Leslie, Mauchamp, Felix, May, Ottar, Michelsen, Joaquín Molero Mesa, Zsolt, Molnár, Moysiyenko, Ivan Y., Nakaga, Yuko K., Rayna, Natcheva, Jalil, Noroozi, Pakeman, Robin J., Salza, Palpurina, Meelis, Pärtel, Ricarda, Pätsch, Harald, Pauli, Hristo, Pedashenko, Peet, Robert K., Remigiusz, Pielech, Nataša, Pipenbaher, Chrisoula, Pirini, Zuzana, Plesková, Polyakova, Mariya A., Prentice, Honor C., Jennifer, Reinecke, Triin, Reitalu, Maria Pilar Rodríguez-Rojo, Jan, Roleček, Vladimir, Ronkin, Leonardo, Rosati, Ejvind, Rosén, Eszter, Ruprecht, Solvita, Rusina, Marko, Sabovljević, Ana María Sánchez, Galina, Savchenko, Oliver, Schuhmacher, Sonja, Škornik, Marta Gaia Sperandii, Monika, Staniaszek-Kik, Zora, Stevanović-Dajić, Marin, Stock, Sigrid, Suchrow, Sutcliffe, Laura M. E., Grzegorz, Swacha, Martin, Sykes, Anna, Szabó, Amir, Talebi, Cătălin, Tănase, Massimo, Terzi, Csaba, Tölgyesi, Marta, Torca, Péter, Török, Béla, Tóthmérész, Nadezda, Tsarevskaya, Ioannis, Tsiripidis, Rossen, Tzonev, Atushi, Ushimaru, Orsolya, Valkó, Eddy van der Maarel, Thomas, Vanneste, Iuliia, Vashenyak, Kiril, Vassilev, Daniele, Viciani, Luis, Villar, Risto, Virtanen, Ivana Vitasović Kosić, Yun, Wang, Frank, Weiser, Julia, Went, Karsten, Wesche, Hannah, White, Manuela, Winkler, Zaniewski, Piotr T., Hui, Zhang, Yaron, Ziv, Sergey Znamenskiy &amp, Idoia Biurrun, Dengler, Jürgen, Wagner, Viktoria, Dembicz, Iwona, García-Mijangos, Itziar, Naqinezhad, Alireza, Boch, Steffen, Chiarucci, Alessandro, Conradi, Timo, Filibeck, Goffredo, Guarino, Riccardo, Janišová, Monika, Steinbauer, Manuel J., Acic, Svetlana, Acosta, Alicia T.R., Akasaka, Munemitsu, Allers, Marc-Andre, Apostolova, Iva, Axmanová, Irena, Bakan, Branko, Baranova, Alina, Bardy-Durchhalter, Manfred, Bartha, Sándor, Baumann, Esther, Becker, Thoma, Becker, Ute, Belonovskaya, Elena, Bengtsson, Karin, Alonso, José Luis Benito, Berastegi, Asun, Bergamini, Ariel, Bonini, Ilaria, Bruun, Hans Henrik, Budzhak, Vasyl, Bueno, Alvaro, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Chocarro, Cristina, Conti, Luisa, Czarniecka-Wiera, Marta, De Frenne, Pieter, Deák, Baláz, Didukh, Yakiv P., Diekmann, Martin, Dolnik, Christian, Dupré, Cecilia, Ecker, Klau, Ermakov, Nikolai, Erschbamer, Brigitta, Escudero, Adrián, Etayo, Javier, Fajmonová, Zuzana, Felde, Vivian A., Calzado, Maria Rosa Fernández, Finckh, Manfred, Fotiadis, Georgio, Fracchiolla, Mariano, Ganeva, Anna, García-Magro, Daniel, Gavilán, Rosario G., Germany, Marku, Giladi, Itamar, Gillet, Françoi, del Galdo, Gian Pietro Giusso, González, Jose M., Grytnes, John-Arvid, Hájek, Michal, Hájková, Petra, Helm, Aveliina, Herrera, Mercede, Hettenbergerová, Eva, Hobohm, Carsten, Hüllbusch, Elisabeth M., Ingerpuu, Nele, Jandt, Ute, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Jeschke, Michael, Jiménez-Alfaro, Borja, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kavgaci, Ali, Kelemen, Andrá, Kiehl, Kathrin, Koyama, Asuka, Koyanagi, Tomoyo F., Kozub, Lukasz, Kuzemko, Anna, Kyrkjeeide, Magni Olsen, Landi, Sara, Langer, Nancy, Lastrucci, Lorenzo, Lazzaro, Lorenzo, Lelli, Chiara, Lepš, Jan, Löbel, Swantje, Luzuriaga, Arantzazu L., Maccherini, Simona, Magnes, Martin, Malicki, Marek, Marcenò, Corrado, Mardari, Constantin, Mauchamp, Leslie, May, Felix, Michelsen, Ottar, Mesa, Joaquín Molero, Molnár, Zsolt, Moysiyenko, Ivan Y., Nakaga, Yuko K., Natcheva, Rayna, Noroozi, Jalil, Pakeman, Robin J., Palpurina, Salza, Pärtel, Meeli, Pätsch, Ricarda, Pauli, Harald, Pedashenko, Hristo, Peet, Robert K., Pielech, Remigiusz, Pipenbaher, Nataša, Pirini, Chrisoula, Plesková, Zuzana, Polyakova, Mariya A., Prentice, Honor C., Reinecke, Jennifer, Reitalu, Triin, Rodríguez-Rojo, Maria Pilar, Rolecek, Jan, Ronkin, Vladimir, Rosati, Leonardo, Rosén, Ejvind, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Sánchez, Ana María, Savchenko, Galina, Schuhmacher, Oliver, Škornik, Sonja, Sperandii, Marta Gaia, Staniaszek-Kik, Monika, Stevanovic-Dajic, Zora, Stock, Marin, Suchrow, Sigrid, Sutcliffe, Laura M.E., Swacha, Grzegorz, Sykes, Martin, Szabó, Anna, Talebi, Amir, Tanase, Catalin, Terzi, Massimo, Tölgyesi, Csaba, Torca, Marta, Török, Péter, Tóthmérész, Béla, Tsarevskaya, Nadezda, Tsiripidis, Ioanni, Tzonev, Rossen, Ushimaru, Atushi, Valkó, Orsolya, van der Maarel, Eddy, Vanneste, Thoma, Vashenyak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Lui, Virtanen, Risto, Kosic, Ivana Vitasovic, Wang, Yun, Weiser, Frank, Went, Julia, Wesche, Karsten, White, Hannah, Winkler, Manuela, Zaniewski, Piotr T., Zhang, Hui, Ziv, Yaron, Znamenskiy, Sergey, Biurrun, Idoia, Aćić, Svetlana, Acosta, Alicia T. R., Luis Benito Alonso, José, Henrik Bruun, Han, Antonio Campos, Juan, Rosa Fernández Calzado, Maria, Pietro Giusso del Galdo, Gian, Kącki, Zygmunt, Kavgacı, Ali, Kozub, Łukasz, Olsen Kyrkjeeide, Magni, Molero Mesa, Joaquín, Pilar Rodríguez-Rojo, Maria, Roleček, Jan, Sabovljević, Marko, María Sánchez, Ana, Sperandii, MARTA GAIA, Stevanović-Dajić, Zora, Sutcliffe, Laura M. E., Tănase, Cătălin, Vitasović Kosić, Ivana, Znamenskiy &amp, Sergey, Goffredo, Filibeck, and Benito Alonso, José Lui

Subjects
0106 biological sciences, Biodiversity, Plant Science, computer.software_genre, 01 natural sciences, Grassland, SAMPLING-DESIGN, RICHNESS, Ecoinformatics, ddc:550, biodiversity, European Vegetation Archive (EVA), Eurasian Dry Grassland Group (EDGG), grassland vegetation, GrassPlot, macroecology, multi-taxon, nested plot, scale-dependence, species-area relationship (SAR), sPlot, vegetation-plot database, Macroecology, 2. Zero hunger, SCALE DEPENDENCE, geography.geographical_feature_category, Database, Vegetation, Geography, Institut für Geowissenschaften, EUROPE, nested plot, scale-dependence, 010603 evolutionary biology, 577: Ökologie, METAANALYSIS, ENVIRONMENT, Data collection, grass- land vegetation, DRY GRASSLANDS, 15. Life on land, biodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot database, Metadata, PATTERNS, SPECIES-AREA RELATIONSHIPS, Nested plot, scale-dependence, VEGETATION, Species richness, computer, 010606 plant biology & botany
Abstract

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetation-plot databases, such as the European Vegetation Archive (EVA) and the global database “sPlot”. Its main aim is to facilitate studies on the scale- and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board. Abbreviations: EDGG = Eurasian Dry Grassland Group; EVA = European Vegetation Archive; GrassPlot = Database of Scale-Dependent Phytodiversity Patterns in Palaearctic Grasslands; SAR = species-area relationship.

Published
2018

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