135 results on '"Dolnik, Christian"'
Search Results
2. Successional development of the phototrophic community in biological soil crusts, along with soil formation on Holocene deposits at the Baltic Sea coast
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Kammann, Sandra, primary, Leinweber, Peter, additional, Glaser, Karin, additional, Schiefelbein, Ulf, additional, Dolnik, Christian, additional, Mikhailyuk, Tatiana, additional, Demchenko, Eduard, additional, Heilmann, Elena, additional, and Karsten, Ulf, additional
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- 2024
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3. Photo Story: 17th EDGG Field Workshop photo diary Inner Alpine dry valleys of the south-eastern Alps (Italy, Switzerland, 1-11 June 2023)
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Angelini, Lisa, primary, Tyshchenko, Oksana, additional, Hilpold, Andreas, additional, Chusova, Olha, additional, Dengler, Jürgen, additional, Dolnik, Christian, additional, Güler, Behlül, additional, Kirschner, Philipp, additional, Nikolei, Robin, additional, Rabyk, Iryna, additional, Skobel, Nadiia, additional, and Vynokurov, Denys, additional
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- 2024
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4. Exploring the Sarcogyne phylogeny: three new species and four new reports from Europe and North America (Austria, Czech Republic, Greece, Germany, Romania, U.S.A.)
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Knudsen, Kerry, primary, Kocourková, Jana, additional, Hodková, Eva, additional, Dart, Jason, additional, Dolnik, Christian, additional, Malíček, Jiří, additional, and Obermayer, Walter, additional
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- 2023
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5. Klaus Dierßen (1948 –2022), ein Leben für Moore und Moose
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Dolnik, Christian, primary
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- 2023
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6. Successional Development of the Phototrophic Community in Biological Soil Crusts on Coastal and Inland Dunes
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Kammann, Sandra, primary, Schiefelbein, Ulf, additional, Dolnik, Christian, additional, Mikhailyuk, Tatiana, additional, Demchenko, Eduard, additional, Karsten, Ulf, additional, and Glaser, Karin, additional
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- 2022
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7. Vegetation diversity in the Swiss Alps - Impressions from the 16th EDGG Field Workshop
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Dengler, Jürgen, Cykowska-Marzencka, Beata, Seiler, Hallie, Catalano, Chiara, Dolnik, Christian, Guarino, Riccardo, Indermaur, Alexander, Pasta, Salvatore, Putfarken, Dorothee, Riedel, Susanne, Shyriaieva, Dariia, Vynokurov, Denys, and Dembicz, Iwona
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580: Pflanzen (Botanik) ,333.7: Landflächen, Naturerholungsgebiete - Published
- 2022
8. Die Flechten, flechtenbewohnenden und flechtenähnlichen Pilze Deutschlands – eine überarbeitete Checkliste
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Printzen, Christian, primary, von Brackel, Wolfgang, additional, Bültmann, Helga, additional, Cezanne, Rainer, additional, Dolnik, Christian, additional, Dornes, Patrick, additional, Eckstein, Jan, additional, Eichler, Marion, additional, John, Volker, additional, Killmann, Dorothee, additional, Nimis, Pier Luigi, additional, Otte, Volker, additional, Schiefelbein, Ulf, additional, Schultz, Matthias, additional, Stordeur, Regine, additional, Teuber, Dietmar, additional, and Thüs, Holger, additional
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- 2022
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9. GrassPlot - a Database of Multi-Scale Plant Diversity in Palaearctic Grasslands
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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
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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.
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- 2018
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10. Patterns and drivers of phytodiversity in steppe grasslands of Central Podolia (Ukraine)
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Kuzemko, Anna A., Steinbauer, Manuel J., Becker, Thomas, Didukh, Yakiv P., Dolnik, Christian, Jeschke, Michael, Naqinezhad, Alireza, Uğurlu, Emin, Vassilev, Kiril, and Dengler, Jürgen
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- 2016
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11. Flechten und lichenicole Pilze im UNESCO-Biosphärenpark Salzburger Lungau (BLAM-Exkursion 2019)
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Türk, Roman, primary, Berger, Franz, additional, Berger, Andrea, additional, Berger, Michael, additional, Cezanne, Rainer, additional, Dolnik, Christian, additional, Eichler, Marion, additional, Gruber, Johann Peter, additional, Grünberg, Hagen, additional, Hafellner, Josef, additional, Klüssendorf, Johanna, additional, Neumann, Patrik, additional, Otte, Volker, additional, Schultz, Matthias, additional, Stapper, Norbert, additional, Thüs, Holger, additional, Teuber, Dietmar, additional, and Weber, Lilith, additional
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- 2022
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12. Successional shifts of phototrophic community composition in biological soil crusts on coastal and inland dunes
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Kammann, Sandra, primary, Schiefelbein, Ulf, additional, Dolnik, Christian, additional, Mikhailyuk, Tatiana, additional, Demchenko, Eduard, additional, Karsten, Ulf, additional, and Glaser, Karin, additional
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- 2022
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13. Vegetation Dynamics on the Łeba Bar/Poland: A Comparison of the Vegetation in 1932 and 2006 with Special Regard to Endangered Habitats
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Peyrat, Jann, Braun, Małgorzata, Dolnik, Christian, Isermann, Maike, and Roweck, Hartmut
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- 2009
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14. Species Constancy Depends on Plot Size – A Problem for Vegetation Classification and How It Can Be Solved
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Dengler, Jürgen, Löbel, Swantje, and Dolnik, Christian
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- 2009
15. Scale Dependency in the Species-Area Relationship of Plant Communities
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Dolnik, Christian and Breuer, Michael
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- 2008
16. Veränderungen der Flechtenflora auf dem Darß im Nationalpark Vorpommersche Boddenlandschaft
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Litterski, Birgit, primary, Dolnik, Christian, additional, Neumann, Patrick, additional, Schiefelbein, Ulf, additional, and Schultz, Matthias, additional
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- 2021
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17. Different Gemma Formation in Bryum barnesii Woods
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Dolnik, Christian
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- 2006
18. Successional Development of the Phototrophic Community in Biological Soil Crusts on Coastal and Inland Dunes.
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Kammann, Sandra, Schiefelbein, Ulf, Dolnik, Christian, Mikhailyuk, Tatiana, Demchenko, Eduard, Karsten, Ulf, and Glaser, Karin
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CRUST vegetation ,SAND dunes ,BIOTIC communities ,COMMUNITIES ,NATURE conservation ,ALGAL communities - Abstract
Simple Summary: This publication focuses on a comparative biodiversity survey of cryptogamic covers along a dune chronosequence in the Baltic Sea compared to an inland dune in northern Germany. Following these gradients, the cryptogamic vegetation accumulated more and more biomass and nutrients (carbon, nitrogen, and phosphorus). Further, a habitat-specific phototrophic community composition could be revealed. The enrichment of the biotic and abiotic components suggests cryptogamic covers as key players in geochemical processes, supporting sediment moisture and stability. Moreover, it highlights these communities as 'ecosystem engineers' playing a valuable part in nature protection e.g., preventing sediment erosion in coastal dune areas. (1) Biological soil crusts (biocrusts) are microecosystems consisting of prokaryotic and eukaryotic microorganisms growing on the topsoil. This study aims to characterize changes in the community structure of biocrust phototrophic organisms along a dune chronosequence in the Baltic Sea compared to an inland dune in northern Germany. (2) A vegetation survey followed by species determination and sediment analyses were conducted. (3) The results highlight a varying phototrophic community composition within the biocrusts regarding the different successional stages of the dunes. At both study sites, a shift from algae-dominated to lichen- and moss-dominated biocrusts in later successional dune types was observed. The algae community of both study sites shared 50% of the identified species while the moss and lichen community shared less than 15%. This indicates a more generalized occurrence of the algal taxa along both chronosequences. The mosses and lichens showed a habitat-specific species community. Moreover, an increase in the organic matter and moisture content with advanced biocrust development was detected. The enrichment of carbon, nitrogen, and phosphorus in the different biocrust types showed a similar relationship. (4) This relation can be explained by biomass growth and potential nutrient mobilization by the microorganisms. Hence, the observed biocrust development potentially enhanced soil formation and contributed to nutrient accumulation. [ABSTRACT FROM AUTHOR]
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- 2023
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19. Lobaria pulmonaria (L.) Hoffm. in the southwestern Baltic – Kattegat area
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Schiefelbein, Ulf, primary, Arnfred, Terkel, additional, Dolnik, Christian, additional, Neumann, Patrick, additional, Ossowska, Emilia, additional, Poulsen, Roar, additional, Søchting, Ulrik, additional, and Thell, Arne, additional
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- 2021
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20. Benchmarking plant diversity of Palaearctic grasslands and other open habitats
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Biurrun, Idoia, primary, Pielech, Remigiusz, additional, Dembicz, Iwona, additional, Gillet, François, additional, Kozub, Łukasz, additional, Marcenò, Corrado, additional, Reitalu, Triin, additional, Van Meerbeek, Koenraad, additional, Guarino, Riccardo, additional, Chytrý, Milan, additional, Pakeman, Robin J., additional, Preislerová, Zdenka, additional, Axmanová, Irena, additional, Burrascano, Sabina, additional, Bartha, Sándor, additional, Boch, Steffen, additional, Bruun, Hans Henrik, additional, Conradi, Timo, additional, De Frenne, Pieter, additional, Essl, Franz, additional, Filibeck, Goffredo, additional, Hájek, Michal, additional, Jiménez‐Alfaro, Borja, additional, Kuzemko, Anna, additional, Molnár, Zsolt, additional, Pärtel, Meelis, additional, Pätsch, Ricarda, additional, Prentice, Honor C., additional, Roleček, Jan, additional, Sutcliffe, Laura M. E., additional, Terzi, Massimo, additional, Winkler, Manuela, additional, Wu, Jianshuang, additional, Aćić, Svetlana, additional, Acosta, Alicia T. R., additional, Afif, Elias, additional, Akasaka, Munemitsu, additional, Alatalo, Juha M., additional, Aleffi, Michele, additional, Aleksanyan, Alla, additional, Ali, Arshad, additional, Apostolova, Iva, additional, Ashouri, Parvaneh, additional, Bátori, Zoltán, additional, Baumann, Esther, additional, Becker, Thomas, additional, Belonovskaya, Elena, additional, Benito Alonso, José Luis, additional, Berastegi, Asun, additional, Bergamini, Ariel, additional, Bhatta, Kuber Prasad, additional, Bonini, Ilaria, additional, Büchler, Marc‐Olivier, additional, Budzhak, Vasyl, additional, Bueno, Álvaro, additional, Buldrini, Fabrizio, additional, Campos, Juan Antonio, additional, Cancellieri, Laura, additional, Carboni, Marta, additional, Ceulemans, Tobias, additional, Chiarucci, Alessandro, additional, Chocarro, Cristina, additional, Conti, Luisa, additional, Csergő, Anna Mária, additional, Cykowska‐Marzencka, Beata, additional, Czarniecka‐Wiera, Marta, additional, Czarnocka‐Cieciura, Marta, additional, Czortek, Patryk, additional, Danihelka, Jiří, additional, Bello, Francesco, additional, Deák, Balázs, additional, Demeter, László, additional, Deng, Lei, additional, Diekmann, Martin, additional, Dolezal, Jiri, additional, Dolnik, Christian, additional, Dřevojan, Pavel, additional, Dupré, Cecilia, additional, Ecker, Klaus, additional, Ejtehadi, Hamid, additional, Erschbamer, Brigitta, additional, Etayo, Javier, additional, Etzold, Jonathan, additional, Farkas, Tünde, additional, Farzam, Mohammad, additional, Fayvush, George, additional, Fernández Calzado, María Rosa, additional, Finckh, Manfred, additional, Fjellstad, Wendy, additional, Fotiadis, Georgios, additional, García‐Magro, Daniel, additional, García‐Mijangos, Itziar, additional, Gavilán, Rosario G., additional, Germany, Markus, additional, Ghafari, Sahar, additional, Giusso del Galdo, Gian Pietro, additional, Grytnes, John‐Arvid, additional, Güler, Behlül, additional, Gutiérrez‐Girón, Alba, additional, Helm, Aveliina, additional, Herrera, Mercedes, additional, Hüllbusch, Elisabeth M., additional, Ingerpuu, Nele, additional, Jägerbrand, Annika K., additional, Jandt, Ute, additional, Janišová, Monika, additional, Jeanneret, Philippe, additional, Jeltsch, Florian, additional, Jensen, Kai, additional, Jentsch, Anke, additional, Kącki, Zygmunt, additional, Kakinuma, Kaoru, additional, Kapfer, Jutta, additional, Kargar, Mansoureh, additional, Kelemen, András, additional, Kiehl, Kathrin, additional, Kirschner, Philipp, additional, Koyama, Asuka, additional, Langer, Nancy, additional, Lazzaro, Lorenzo, additional, Lepš, Jan, additional, Li, Ching‐Feng, additional, Li, Frank Yonghong, additional, Liendo, Diego, additional, Lindborg, Regina, additional, Löbel, Swantje, additional, Lomba, Angela, additional, Lososová, Zdeňka, additional, Lustyk, Pavel, additional, Luzuriaga, Arantzazu L., additional, Ma, Wenhong, additional, Maccherini, Simona, additional, Magnes, Martin, additional, Malicki, Marek, additional, Manthey, Michael, additional, Mardari, Constantin, additional, May, Felix, additional, Mayrhofer, Helmut, additional, Meier, Eliane Seraina, additional, Memariani, Farshid, additional, Merunková, Kristina, additional, Michelsen, Ottar, additional, Molero Mesa, Joaquín, additional, Moradi, Halime, additional, Moysiyenko, Ivan, additional, Mugnai, Michele, additional, Naqinezhad, Alireza, additional, Natcheva, Rayna, additional, Ninot, Josep M., additional, Nobis, Marcin, additional, Noroozi, Jalil, additional, Nowak, Arkadiusz, additional, Onipchenko, Vladimir, additional, Palpurina, Salza, additional, Pauli, Harald, additional, Pedashenko, Hristo, additional, Pedersen, Christian, additional, Peet, Robert K., additional, Pérez‐Haase, Aaron, additional, Peters, Jan, additional, Pipenbaher, Nataša, additional, Pirini, Chrisoula, additional, Pladevall‐Izard, Eulàlia, additional, Plesková, Zuzana, additional, Potenza, Giovanna, additional, Rahmanian, Soroor, additional, Rodríguez‐Rojo, Maria Pilar, additional, Ronkin, Vladimir, additional, Rosati, Leonardo, additional, Ruprecht, Eszter, additional, Rusina, Solvita, additional, Sabovljević, Marko, additional, Sanaei, Anvar, additional, Sánchez, Ana M., additional, Santi, Francesco, additional, Savchenko, Galina, additional, Sebastià, Maria Teresa, additional, Shyriaieva, Dariia, additional, Silva, Vasco, additional, Škornik, Sonja, additional, Šmerdová, Eva, additional, Sonkoly, Judit, additional, Sperandii, Marta Gaia, additional, Staniaszek‐Kik, Monika, additional, Stevens, Carly, additional, Stifter, Simon, additional, Suchrow, Sigrid, additional, Swacha, Grzegorz, additional, Świerszcz, Sebastian, additional, Talebi, Amir, additional, Teleki, Balázs, additional, Tichý, Lubomír, additional, Tölgyesi, Csaba, additional, Torca, Marta, additional, Török, Péter, additional, Tsarevskaya, Nadezda, additional, Tsiripidis, Ioannis, additional, Turisová, Ingrid, additional, Ushimaru, Atushi, additional, Valkó, Orsolya, additional, Van Mechelen, Carmen, additional, Vanneste, Thomas, additional, Vasheniak, Iuliia, additional, Vassilev, Kiril, additional, Viciani, Daniele, additional, Villar, Luis, additional, Virtanen, Risto, additional, Vitasović‐Kosić, Ivana, additional, Vojtkó, András, additional, Vynokurov, Denys, additional, Waldén, Emelie, additional, Wang, Yun, additional, Weiser, Frank, additional, Wen, Lu, additional, Wesche, Karsten, additional, White, Hannah, additional, Widmer, Stefan, additional, Wolfrum, Sebastian, additional, Wróbel, Anna, additional, Yuan, Zuoqiang, additional, Zelený, David, additional, Zhao, Liqing, additional, and Dengler, Jürgen, additional
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- 2021
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21. Benchmarking plant diversity of Palaearctic grasslands and other open habitats
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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.
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- 2021
22. Fine-grain beta diversity of Palaearctic grassland vegetation
- Author
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Biología vegetal y ecología, Landaren biologia eta ekologia, 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, 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, Łukasz, 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, Uğurlu, Emin, Valkó, Orsolya, Vasheniak, Iuliia, Vassilev, Kiril, Vynokurov, Denys, White, Hannah, Willner, Wolfgang, Winkler, Manuela, Wolfrum, Sebastian, Zhang, Jinghui, Biurrun Galarraga, Miren Idoia, Biología vegetal y ecología, Landaren biologia eta ekologia, 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, 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, Łukasz, 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, Uğurlu, Emin, Valkó, Orsolya, Vasheniak, Iuliia, Vassilev, Kiril, Vynokurov, Denys, White, Hannah, Willner, Wolfgang, Winkler, Manuela, Wolfrum, Sebastian, Zhang, Jinghui, and Biurrun Galarraga, Miren Idoia
- Abstract
Questions 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 m(2) and 1,024 m(2) 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 R-2 = 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 e
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- 2021
23. Fine‐grain beta diversity of Palaearctic grassland vegetation
- Author
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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, Łukasz, 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, Uğurlu, Emin, Valkó, Orsolya, Vasheniak, Iuliia, Vassilev, Kiril, Vynokurov, Denys, White, Hannah J., Willner, Wolfgang, Winkler, Manuela, Wolfrum, Sebastian, Zhang, Jing Hui, Biurrun, Idoia, 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, Łukasz, 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, Uğurlu, Emin, Valkó, Orsolya, Vasheniak, Iuliia, Vassilev, Kiril, Vynokurov, Denys, White, Hannah J., Willner, Wolfgang, Winkler, Manuela, Wolfrum, Sebastian, Zhang, Jing Hui, and Biurrun, Idoia
- Abstract
Questions: 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 (fertilisation, 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. Main 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
- Published
- 2021
24. Benchmarking plant diversity of Palaearctic grasslands and other open habitats
- Author
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Bavarian Research Foundation, International Association for Vegetation Science, Eusko Jaurlaritza, Czech Science Foundation, Estonian Research Council, Scottish Government's Rural and Environment Science and Analytical Services, Ministero dell'Istruzione, dell'Università e della Ricerca, Agencia Estatal de Investigación (España), Science and Technology Center in Ukraine, Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning, Swedish Institute, Foundation for Introducing Talent of Nanjing University of Information Science and Technology, Hebei Province, Academy of Sciences of the Czech Republic, Hungarian Academy of Sciences, Tyrolean Science Fund, Austrian Academy of Sciences, University of Innsbruck, Ministerio de Economía y Competitividad (España), Comunidad de Madrid, National Geographic Society, Slovak Academy of Sciences, Fundação para a Ciência e a Tecnologia (Portugal), National Science Centre (Poland), Russian Science Foundation, University of Latvia Foundation, Slovenian Research Agency, Biurrun, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, François, Kozub, Łukasz, Marcenò, Corrado, Reitalu, Triin, Meerbeek, Koenraad Van, Guarino, Riccardo, Chytrý, Milan, Pakeman, Robin J., Kargar, Mansoureh, Kelemen, András, Kiehl, Kathrin, Kirschner, Philipp, Koyama, Asuka, Swacha, Grzegorz, Langer, Nancy, Lazzaro, Lorenzo, Lepš, J., Pauli, Harald, Molnár, Zsolt, Axmanová, Irena, Li, Ching-Feng, Yonghong Li, Frank, Liendo, Diego, Löbel, Swantje, Lomba, Angela, Lososová, Zdeňka, Świerszcz, Sebastian, Lustyk, Pavel, Luzuriaga, Arantzazu L., Pärtel, Meelis, Tichý, Lubomír, Ma, Wenhong, Maccherini, Simona, Burrascano, Sabina, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Talebi, Amir, Pätsch, Ricarda, Mayrhofer, Helmut, Chiarucci, A., Seraina Meier, Eliane, Memariani, Farshid, Merunková, Kristina, Michelsen, Ottar, Bartha, Sándor, Molero Mesa, Joaquín, Moradi, Halime, Moysiyenko, Ivan, Prentice, Honor C., Mugnai, Michele, Teleki, Balázs, Pedashenko, Hristo, Naqinezhad, Alireza, Pedersen, Christian, Peet, Robert K., Pérez-Haase, A., Peters, Jan, Pipenbaher, Nataša, Pirini, Chrisoula, Roleček, Jan, Bruun, Hans Henrik, Pladevall-Izard, Eulàlia, Plesková, Zuzana, Chocarro, Cristina, Essl, Franz, Potenza, Giovanna, Rahmanian, Soroor, Rodríguez-Rojo, María Pilar, Ronkin, Vladimir, Rosati, Leonardo, Janišová, Monika, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Conradi, Timo, Conti, Luisa, Sanaei, Anvar, Hüllbusch, Elisabeth M., Sánchez, Ana M., Santi, Francesco, Savchenko, Galina, Sutcliffe, Laura M. E., Sebastià, María Teresa, Shyriaieva, Dariia, Silva, Vasco, Škornik, Sonja, Šmerdová, Eva, Csergő, Anna Mária, Sonkoly, Judit, De Frenne, Pieter, Tölgyesi, Csaba, Gaia Sperandii, Marta, Terzi, Massimo, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Turisová, Ingrid, Ushimaru, Atushi, Cykowska-Marzencka, Beata, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thomas, Winkler, Manuela, Ingerpuu, Nele, Filibeck, Goffredo, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar Pérez, Luis, Virtanen, Risto, Czarniecka-Wiera, Marta, Vitasović-Kosić, Ivana, Vojtkó, András, de Bello, Francesco, Vynokurov, Denys, Waldén, Emelie, Jägerbrand, Annika K., Wang, Yun, Hájek, Michal, Weiser, Frank, Wen, Lu, Wesche, Karsten, Czortek, Patryk, White, Hannah, Natcheva, Rayna, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Jand, Ute, Zelený, David, Zhao, Liqing, Jiménez Alfaro, Borja, Dengler, Jürgen, Danihelka, Jiří, Wu, Jianshuang, Kuzemko, Anna, Aćić, Svetlana, Acosta, Rosario, Afif, Elias, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Jeanneret, Philippe, Aleksanyan, Alla, Ali, Arshad, Ninot, Josep M., Jentsch, Anke, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thomas, Belonovskaya, Elena, Benito Alonso, José Luis, Berastegi, Asun, Jeltsch, Florian, Nobis, Marcin, Bergamini, Ariel, Staniaszek-Kik, Monika, Prasad, Kuber, Bonini, Ilaria, Büchler, Marc-Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Noroozi, Jalil, Carboni, Marta, Jensen, Kai, Deák. Balázs, Ceulemans, Tobías, Demeter, László, Deng, Lei, Diekmann, Martin, Doležal, Jiří, Dolnik, Christian, Dřevojan, Pavel, Nowak, Arkadiusz, Dupré, Cecilia, Ecker, Klaus, Ejtehadi, Hamid, Stevens, Carly, Kącki, Zygmunt, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Boch, Steffen, Fayvush, George, Fernández Calzado, María Rosa, Finckh, Manfred, Fjellstad, Wendy, Stifter, Simon, Fotiadis, Georgios, Preislerová, Zdenka, García-Magro, Daniel, García-Mijangos, Itziar, Gavilán, Rosario G., Onipchenko, Vladimir G., Germany, Markus, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John-Arvid, Güler, Behlül, Suchrow, Sigrid, Gutiérrez-Girón, Alba, Helm, Aveliina, Kakinuma, Kaoru, Herrera, Mercedes, Palpurina, Salza, Kapfer, Jutta, Bavarian Research Foundation, International Association for Vegetation Science, Eusko Jaurlaritza, Czech Science Foundation, Estonian Research Council, Scottish Government's Rural and Environment Science and Analytical Services, Ministero dell'Istruzione, dell'Università e della Ricerca, Agencia Estatal de Investigación (España), Science and Technology Center in Ukraine, Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning, Swedish Institute, Foundation for Introducing Talent of Nanjing University of Information Science and Technology, Hebei Province, Academy of Sciences of the Czech Republic, Hungarian Academy of Sciences, Tyrolean Science Fund, Austrian Academy of Sciences, University of Innsbruck, Ministerio de Economía y Competitividad (España), Comunidad de Madrid, National Geographic Society, Slovak Academy of Sciences, Fundação para a Ciência e a Tecnologia (Portugal), National Science Centre (Poland), Russian Science Foundation, University of Latvia Foundation, Slovenian Research Agency, Biurrun, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, François, Kozub, Łukasz, Marcenò, Corrado, Reitalu, Triin, Meerbeek, Koenraad Van, Guarino, Riccardo, Chytrý, Milan, Pakeman, Robin J., Kargar, Mansoureh, Kelemen, András, Kiehl, Kathrin, Kirschner, Philipp, Koyama, Asuka, Swacha, Grzegorz, Langer, Nancy, Lazzaro, Lorenzo, Lepš, J., Pauli, Harald, Molnár, Zsolt, Axmanová, Irena, Li, Ching-Feng, Yonghong Li, Frank, Liendo, Diego, Löbel, Swantje, Lomba, Angela, Lososová, Zdeňka, Świerszcz, Sebastian, Lustyk, Pavel, Luzuriaga, Arantzazu L., Pärtel, Meelis, Tichý, Lubomír, Ma, Wenhong, Maccherini, Simona, Burrascano, Sabina, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Talebi, Amir, Pätsch, Ricarda, Mayrhofer, Helmut, Chiarucci, A., Seraina Meier, Eliane, Memariani, Farshid, Merunková, Kristina, Michelsen, Ottar, Bartha, Sándor, Molero Mesa, Joaquín, Moradi, Halime, Moysiyenko, Ivan, Prentice, Honor C., Mugnai, Michele, Teleki, Balázs, Pedashenko, Hristo, Naqinezhad, Alireza, Pedersen, Christian, Peet, Robert K., Pérez-Haase, A., Peters, Jan, Pipenbaher, Nataša, Pirini, Chrisoula, Roleček, Jan, Bruun, Hans Henrik, Pladevall-Izard, Eulàlia, Plesková, Zuzana, Chocarro, Cristina, Essl, Franz, Potenza, Giovanna, Rahmanian, Soroor, Rodríguez-Rojo, María Pilar, Ronkin, Vladimir, Rosati, Leonardo, Janišová, Monika, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Conradi, Timo, Conti, Luisa, Sanaei, Anvar, Hüllbusch, Elisabeth M., Sánchez, Ana M., Santi, Francesco, Savchenko, Galina, Sutcliffe, Laura M. E., Sebastià, María Teresa, Shyriaieva, Dariia, Silva, Vasco, Škornik, Sonja, Šmerdová, Eva, Csergő, Anna Mária, Sonkoly, Judit, De Frenne, Pieter, Tölgyesi, Csaba, Gaia Sperandii, Marta, Terzi, Massimo, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Turisová, Ingrid, Ushimaru, Atushi, Cykowska-Marzencka, Beata, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thomas, Winkler, Manuela, Ingerpuu, Nele, Filibeck, Goffredo, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar Pérez, Luis, Virtanen, Risto, Czarniecka-Wiera, Marta, Vitasović-Kosić, Ivana, Vojtkó, András, de Bello, Francesco, Vynokurov, Denys, Waldén, Emelie, Jägerbrand, Annika K., Wang, Yun, Hájek, Michal, Weiser, Frank, Wen, Lu, Wesche, Karsten, Czortek, Patryk, White, Hannah, Natcheva, Rayna, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Jand, Ute, Zelený, David, Zhao, Liqing, Jiménez Alfaro, Borja, Dengler, Jürgen, Danihelka, Jiří, Wu, Jianshuang, Kuzemko, Anna, Aćić, Svetlana, Acosta, Rosario, Afif, Elias, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Jeanneret, Philippe, Aleksanyan, Alla, Ali, Arshad, Ninot, Josep M., Jentsch, Anke, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thomas, Belonovskaya, Elena, Benito Alonso, José Luis, Berastegi, Asun, Jeltsch, Florian, Nobis, Marcin, Bergamini, Ariel, Staniaszek-Kik, Monika, Prasad, Kuber, Bonini, Ilaria, Büchler, Marc-Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Noroozi, Jalil, Carboni, Marta, Jensen, Kai, Deák. Balázs, Ceulemans, Tobías, Demeter, László, Deng, Lei, Diekmann, Martin, Doležal, Jiří, Dolnik, Christian, Dřevojan, Pavel, Nowak, Arkadiusz, Dupré, Cecilia, Ecker, Klaus, Ejtehadi, Hamid, Stevens, Carly, Kącki, Zygmunt, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Boch, Steffen, Fayvush, George, Fernández Calzado, María Rosa, Finckh, Manfred, Fjellstad, Wendy, Stifter, Simon, Fotiadis, Georgios, Preislerová, Zdenka, García-Magro, Daniel, García-Mijangos, Itziar, Gavilán, Rosario G., Onipchenko, Vladimir G., Germany, Markus, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John-Arvid, Güler, Behlül, Suchrow, Sigrid, Gutiérrez-Girón, Alba, Helm, Aveliina, Kakinuma, Kaoru, Herrera, Mercedes, Palpurina, Salza, and Kapfer, Jutta
- Abstract
Aims: 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 m 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.
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- 2021
25. Lobaria pulmonaria (L.) Hoffm. in the southwestern Baltic – Kattegat area
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Schiefelbein, Ulf, Arnfred, Terkel, Dolnik, Christian, Neumann, Patrick, Ossowska, Emilia, Poulsen, Roar, Søchting, Ulrik, Thell, Arne, Schiefelbein, Ulf, Arnfred, Terkel, Dolnik, Christian, Neumann, Patrick, Ossowska, Emilia, Poulsen, Roar, Søchting, Ulrik, and Thell, Arne
- Abstract
The past and present distribution of Lobaria pulmonaria in Denmark, northern Germany, northwestern Poland and nemoral parts of Skåne, Blekinge, southwesternmost Småland and southern Öland (Sweden) has been studied. Of 124 localities visited between 2015 and 2018, L. pulmonaria was confirmed at 64 sites, at each of which its habitat ecology and viability were investigated. It is almost extinct in Schleswig-Holstein, in southern Jutland, on the Danish Islands, in southwestern Skåne, in Mecklenburg-Vorpommern and in the western part of Pomerania. It has disappeared almost completely from areas where mesophytic forests form the potential natural vegetation. The commonest habitats for L. pulmonaria are species-poor acidic beech and species-poor oak forests, and the commonest substrates are trunks of beech, followed by oak. L. pulmonaria specimens on about two thirds of the colonized trees were in a healthy condition. The situation is worst in Schleswig-Holstein and on the Danish Islands, but best in Blekinge and central and northern Jutland. Recent distribution seems to be influenced by both anthropogenic (e.g. air pollution by sulphur dioxide and nitrogen and forestry practices) and natural factors (precipitation, temperature, air humidity), as well as unnatural climatic factors (global warming).
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- 2021
26. Fine‐grain beta diversity of Palaearctic grassland vegetation
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Dembicz, Iwona, primary, Dengler, Jürgen, additional, Steinbauer, Manuel J., additional, Matthews, Thomas J., additional, Bartha, Sándor, additional, Burrascano, Sabina, additional, Chiarucci, Alessandro, additional, Filibeck, Goffredo, additional, Gillet, François, additional, Janišová, Monika, additional, Palpurina, Salza, additional, Storch, David, additional, Ulrich, Werner, additional, Aćić, Svetlana, additional, Boch, Steffen, additional, Campos, Juan Antonio, additional, Cancellieri, Laura, additional, Carboni, Marta, additional, Ciaschetti, Giampiero, additional, Conradi, Timo, additional, De Frenne, Pieter, additional, Dolezal, Jiri, additional, Dolnik, Christian, additional, Essl, Franz, additional, Fantinato, Edy, additional, García‐Mijangos, Itziar, additional, Giusso del Galdo, Gian Pietro, additional, Grytnes, John‐Arvid, additional, Guarino, Riccardo, additional, Güler, Behlül, additional, Kapfer, Jutta, additional, Klichowska, Ewelina, additional, Kozub, Łukasz, additional, Kuzemko, Anna, additional, Löbel, Swantje, additional, Manthey, Michael, additional, Marcenò, Corrado, additional, Mimet, Anne, additional, Naqinezhad, Alireza, additional, Noroozi, Jalil, additional, Nowak, Arkadiusz, additional, Pauli, Harald, additional, Peet, Robert K., additional, Pellissier, Vincent, additional, Pielech, Remigiusz, additional, Terzi, Massimo, additional, Uğurlu, Emin, additional, Valkó, Orsolya, additional, Vasheniak, Iuliia, additional, Vassilev, Kiril, additional, Vynokurov, Denys, additional, White, Hannah J., additional, Willner, Wolfgang, additional, Winkler, Manuela, additional, Wolfrum, Sebastian, additional, Zhang, Jinghui, additional, and Biurrun, Idoia, additional
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- 2021
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27. Sampling multi-scale and multi-taxon plant diversity data in the subalpine and alpine habitats of Switzerland : report on the 14th EDGG Field Workshop
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Dengler, Jürgen, Cykowska-Marzencka, Beata, Bruderer, Timon, Dolnik, Christian, Neumann, Patrick, Riedel, Susanne, Seiler, Hallie, Zhang, Jing Hui, and Dembicz, Iwona
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Vascular plant ,Fen ,Alpine grassland ,Lichen ,Biodiversity ,Snow bed ,Soil pH ,Cephaloziella dentata ,Seslerion ,580: Pflanzen (Botanik) ,Dwarf shrub heath ,Bryophyte ,Festuco-Brometea ,Nested plot ,Scree ,577: Ökologie ,Elevational gradient ,Eurasian Dry Grassland Group (EDGG) ,Switzerland ,Species richness - Abstract
The 14th EDGG Field Workshop took place from the 4th to the 14th of September 2020 in Switzerland, and was devoted to the vegetation of open habitats in the subalpine and alpine zones. In total, 26 EDGG Biodiversity Plots (nested plots with grain sizes of 0.0001 to 100 m²) were sampled in different open habitat types (grasslands, heathlands, screes, snowbeds, fens) in three regions of Switzerland, both over acidic and base-rich bedrock. Additionally, three normal plots of 10 m² were sampled in high-elevation Festuco-Brometea stands in Zermatt. Across all grain sizes, stands showed 10–25% higher means and 50–94% higher maxima for total richness of vascular plants, terricolous bryophytes and lichens compared with data from the 12th EDGG Field Workshop in dry and semi-dry grasslands of the central valleys of the Swiss Alps. We found outstanding preliminary maxima of total richness of 61, 109 and 163 species in 1, 10 and 100 m² respectively, in an unused alpine grassland over limestone (Seslerion). Both particularly variable and partly extremely rich was the bryophyte and lichen flora of the analysed stands, with up to 33 bryophyte and 22 lichen species in 10-m² plots. We report the liverwort Cephaloziella dentata as new for Switzerland, found in a thermophilous subalpine heathland at Alp Glivers, Surselva, Grisons. Overall, our preliminary data suggest that some of the sampled subalpine and alpine habitats are among the most species-rich communities at small scales if bryophytes and lichens are also considered. Based on this finding, we recommend that these two taxonomic groups be more regularly included in surveying and particularly in monitoring programs for vegetation. The Scientific Report is supplemented by a photo diary that provides impressions of work and life during the Field Workshop.
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- 2020
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28. A preliminary phylogeny of theLecanora saligna-group, with notes on species delimitation
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Ivanovich, Cristóbal, primary, Dolnik, Christian, additional, Otte, Volker, additional, Palice, Zdeněk, additional, Sohrabi, Mohammad, additional, and Printzen, Christian, additional
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- 2021
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29. Scientific Report - Sampling multi-scale and multi-taxon plant diversity data in the subalpine and alpine habitats of Switzer-land: Report on the 14th EDGG Field Workshop
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Dengler, Jürgen, primary, Cykowska-Marzencka, Beata, additional, Bruderer, Timon, additional, Dolnik, Christian, additional, Neumann, Patrick, additional, Riedel, Susanne, additional, Seiler, Hallie, additional, Zhang, Jinghui, additional, and Dembicz, Iwona, additional
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- 2020
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30. GrassPlot v. 2.00 – first update on the database of multi-scale plant diversity in Palaearctic grasslands
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Biurrun, Idoia, primary, Burrascano, Sabina, additional, Dembicz, Iwona, additional, Guarino, Riccardo, additional, Kapfer, Jutta, additional, Pielech, Remigiusz, additional, Garcia-Mijangos, Itziar, additional, Wagner, Viktoria, additional, Palpurina, Salza, additional, Mimet, Anne, additional, Pellissier, Vincent, additional, Marcenò, Corrado, additional, Nowak, Arkadiusz, additional, Bergamini, Ariel, additional, Boch, Steffen, additional, Csergő, Anna Mária, additional, Grytnes, John-Arvid, additional, Campos, Juan Antonio, additional, Erschbamer, Brigitta, additional, Jiménez-Alfaro, Borja, additional, Kącki, Zygmunt, additional, Kuzemko, Anna, additional, Manthey, Michael, additional, van Meerbeek, Koenraad, additional, Swacha, Grzegorz, additional, Afif, Elias, additional, Alatalo, Juha, additional, Aleffi, Michele, additional, Babbi, Manuel, additional, Bátori, Zoltán, additional, Belonovskaya, Elena, additional, Berg, Christian, additional, Prasad Bhatta, Kuber, additional, Cancellieri, Laura, additional, Ceulemans, Tobias, additional, Deák, Balázs, additional, Demeter, László, additional, Deng, Lei, additional, Doležal, Jiří, additional, Dolnik, Christian, additional, Dramstad, Wenche, additional, Dřevojan, Pavel, additional, Ecker, Klaus, additional, Essl, Franz, additional, Etzold, Jonathan, additional, Filibeck, Goffredo, additional, Fjellstad, Wendy, additional, Güler, Behlül, additional, Hájek, Michal, additional, Hepenstrick, Daniel, additional, Hodgson, John, additional, Honrado, João, additional, Jägerbrand, Annika, additional, Janišová, Monika, additional, Jeanneret, Philippe, additional, Kelemen, András, additional, Kirschner, Philipp, additional, Klichowska, Ewelina, additional, Kolomiiets, Ganna, additional, Kozub, Łukasz, additional, Lepš, Jan, additional, Lindborg, Regina, additional, Löbel, Swantje, additional, Lomba, Angela, additional, Magnes, Martin, additional, Mayrhofer, Helmut, additional, Malicki, Marek, additional, Mašid, Ermin, additional, Meier, Eliane, additional, Mirin, Denis, additional, Molau, Ulf, additional, Moysiyenko, Ivan, additional, Naqinezhad, Alireza, additional, Ninot, Josep, additional, Nobis, Marcin, additional, Pedersen, Christian, additional, Pérez-Haase, Aaron, additional, Peters, Jan, additional, Pladevall-Izard, Eulàlia, additional, Roleček, Jan, additional, Ronkin, Vladimir, additional, Savchenko, Galina, additional, Shyriaieva, Dariia, additional, Sickel, Hanne, additional, Stevens, Carly, additional, Świerszcz, Sebastian, additional, Tölgyesi, Csaba, additional, Tsarevskaya, Nadezda, additional, Valkó, Orsolya, additional, Van Mechelen, Carmen, additional, Vashenyak, Iuliia, additional, Reidar Vetaas, Ole, additional, Vynokurov, Denys, additional, Waldén, Emelie, additional, Widmer, Stefan, additional, Wolfrum, Sebastian, additional, Wróbel, Anna, additional, Zlotnikova, Ekaterina, additional, and Dengler, Jürgen, additional
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- 2019
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31. GrassPlot v. 2.00 : first update on the database of multi-scale plant diversity in Palaearctic grasslands
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Biurrun, Idoia, Burrascano, Sabina, Dembicz, Iwona, Guarino, Riccardo, Kapfer, Jutta, Pielech, Remigiusz, Garcia-Mijangos, Itziar, Wagner, Viktoria, Palpurina, Salza, Mimet, Anne, Pellissier, Vincent, Marcenò, Corrado, Nowak, Arkadiusz, Bergamini, Ariel, Boch, Steffen, Csergő, Anna Mária, Grytnes, John-Arvid, Campos, Juan Antonio, Erschbamer, Brigitta, Jiménez-Alfaro, Borja, Kącki, Zygmunt, Kuzemko, Anna, Manthey, Michael, Meerbeek, Koenraad van, Swacha, Grzegorz, Afif, Elias, Alatalo, Juha M., Aleffi, Michele, Babbi, Manuel, Bátori, Zoltán, Belonovskaya, Elena, Berg, Christian, Bhatta, Kuber Prasad, Cancellieri, Laura, Ceulemans, Tobias, Deák, Balázs, Demeter, László, Deng, Lei, Doležal, Jiří, Dolnik, Christian, Dramstad, Wenche, Dřevojan, Pavel, Ecker, Klaus, Essl, Franz, Etzold, Jonathan, Filibeck, Goffredo, Fjellstad, Wendy, Güler, Behlül, Hájek, Michal, Hepenstrick, Daniel, Hodgson, John G., Honrado, João P., Jägerbrand, Annika K., Janišová, Monika, Jeanneret, Philippe, Kelemen, András, Kirschner, Philipp, Klichowska, Ewelina, Kolomiiets, Ganna, Kozub, Łukasz, Lepš, Jan, Lindborg, Regina, Löbel, Swantje, Lomba, Angela, Magnes, Martin, Mayrhofer, Helmut, Malicki, Marek, Mašić, Ermin, Meier, Eliane S., Mirin, Denis, Molau, Ulf, Moysiyenko, Ivan, Naqinezhad, Alireza, Ninot, Josep M., Nobis, Marcin, Pedersen, Christian, Pérez-Haase, Aaron, Peters, Jan, Pladevall-Izard, Eulàlia, Roleček, Jan, Ronkin, Vladimir, Savchenko, Galina, Shyriaieva, Dariia, Sickel, Hanne, Stevens, Carly, Świerszcz, Sebastian, Tölgyesi, Csaba, Tsarevskaya, Nadezda, Valkó, Orsolya, Mechelen, Carmen Van, Vashenyak, Iuliia, Vetaas, Ole Reidar, Vynokurov, Denys, Waldén, Emelie, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Zlotnikova, Ekaterina, and Dengler, Jürgen
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Palaearctic ,scale dependence ,GrassPlot ,macroecology ,Global Index of Vegetation-Plot Databases (GIVD) ,grassland vegetation ,species-area relationship (SAR) ,nested plot ,community ecology ,Eurasian Dry Grassland Group (EDGG) ,biodiversity ,vegetationplot database - Published
- 2019
32. GrassPlot v. 2.00 – first update on the database of multi-scale plant diversity in Palaearctic grasslands
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Idoia Biurrun, Idoia, Burrascano, Sabina, Dembicz, Iwona, Guarino, Riccardo, Kapfer, Jutta, Pielech, Remigiusz, Garcia-Mijangos, Itziar, Wagner, Viktoria, Palpurina, Salza, Mimet, Anne, Pellissier, Vincent, Marcenò, Corrado, Nowak, Arkadiusz, Bergamini, Ariel, Boch, Steffen, Csergő, Anna Mária, Grytnes, John-Arvid, Campos, Juan Antonio, Erschbamer, Brigitta, Jiménez-Alfaro, Borja, Kącki, Zygmunt, Kuzemko, Anna, Manthey, Michael, van Meerbeek, Koenraad, Swacha, Grzegorz, Afif, Elias, Alatalo, Juha M., Aleffi, Michele, Babbi, Manuel, Bátori, Zoltán, Belonovskaya, Elena, Berg, Christian, Bhatta, Kuber Prasad, Cancellieri, Laura, Ceulemans, Tobias, Deák, Balázs, Demeter, László, Deng, Lei, Doležal, Jiří, Dolnik, Christian, Dramstad, Wenche, Dřevojan, Pavel, Ecker, Klaus, Essl, Franz, Etzold, Jonathan, Filibeck, Goffredo, Fjellstad, Wendy, Güler, Behlül, Hájek, Michal, Hepenstrick, Daniel, Hodgson, John G., Honrado, João P., Jägerbrand, Annika, Janišová, Monika, Jeanneret, Philippe, Kelemen, András, Kirschner, Philipp, Klichowska, Ewelina, Kolomiiets, Ganna, Kozub, Łukasz, Lepš, Jan, Lindborg, Regina, Löbel, Swantje, Lomba, Angela, Magnes, Martin, Mayrhofer, Helmut, Malicki, Marek, Mašić, Ermin, Meier, Eliane S., Mirin, Denis, Molau, Ulf, Moysiyenko, Ivan, Naqinezhad, Alireza, Ninot, Josep M., Nobis, Marcin, Pedersen, Christian, Pérez-Haase, Aaron, Peters, Jan, Pladevall-Izard, Eulàlia, Roleček, Jan, Ronkin, Vladimir, Savchenko, Galina, Shyriaieva, Dariia, Sickel, Hanne, Stevens, Carly, Świerszcz, Sebastian, Tölgyesi, Csaba, Tsarevskaya, Nadezda, Valkó, Orsolya, Van Mechelen, Carmen, Vashenyak, Iuliia, Vetaas, Ole Reidar, Vynokurov, Denys, Waldén, Emelie, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Zlotnikova, Ekaterina, Dengler, Jürgen, Idoia Biurrun, Idoia, Burrascano, Sabina, Dembicz, Iwona, Guarino, Riccardo, Kapfer, Jutta, Pielech, Remigiusz, Garcia-Mijangos, Itziar, Wagner, Viktoria, Palpurina, Salza, Mimet, Anne, Pellissier, Vincent, Marcenò, Corrado, Nowak, Arkadiusz, Bergamini, Ariel, Boch, Steffen, Csergő, Anna Mária, Grytnes, John-Arvid, Campos, Juan Antonio, Erschbamer, Brigitta, Jiménez-Alfaro, Borja, Kącki, Zygmunt, Kuzemko, Anna, Manthey, Michael, van Meerbeek, Koenraad, Swacha, Grzegorz, Afif, Elias, Alatalo, Juha M., Aleffi, Michele, Babbi, Manuel, Bátori, Zoltán, Belonovskaya, Elena, Berg, Christian, Bhatta, Kuber Prasad, Cancellieri, Laura, Ceulemans, Tobias, Deák, Balázs, Demeter, László, Deng, Lei, Doležal, Jiří, Dolnik, Christian, Dramstad, Wenche, Dřevojan, Pavel, Ecker, Klaus, Essl, Franz, Etzold, Jonathan, Filibeck, Goffredo, Fjellstad, Wendy, Güler, Behlül, Hájek, Michal, Hepenstrick, Daniel, Hodgson, John G., Honrado, João P., Jägerbrand, Annika, Janišová, Monika, Jeanneret, Philippe, Kelemen, András, Kirschner, Philipp, Klichowska, Ewelina, Kolomiiets, Ganna, Kozub, Łukasz, Lepš, Jan, Lindborg, Regina, Löbel, Swantje, Lomba, Angela, Magnes, Martin, Mayrhofer, Helmut, Malicki, Marek, Mašić, Ermin, Meier, Eliane S., Mirin, Denis, Molau, Ulf, Moysiyenko, Ivan, Naqinezhad, Alireza, Ninot, Josep M., Nobis, Marcin, Pedersen, Christian, Pérez-Haase, Aaron, Peters, Jan, Pladevall-Izard, Eulàlia, Roleček, Jan, Ronkin, Vladimir, Savchenko, Galina, Shyriaieva, Dariia, Sickel, Hanne, Stevens, Carly, Świerszcz, Sebastian, Tölgyesi, Csaba, Tsarevskaya, Nadezda, Valkó, Orsolya, Van Mechelen, Carmen, Vashenyak, Iuliia, Vetaas, Ole Reidar, Vynokurov, Denys, Waldén, Emelie, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Zlotnikova, Ekaterina, and Dengler, Jürgen
- 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). Following a previous Long Database Report (Dengler et al. 2018, Phytocoenologia 48, 331–347), we provide here the first update on content and functionality of GrassPlot. The current version (GrassPlot v. 2.00) contains a total of 190,673 plots of different grain sizes across 28,171 independent plots, with 4,654 nested-plot series including at least four grain sizes. The database has improved its content as well as its functionality, including addition and harmonization of header data (land use, information on nestedness, structure and ecology) and preparation of species composition data. Currently, GrassPlot data are intensively used for broad-scale analyses of different aspects of alpha and beta diversity in grassland ecosystems.
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- 2019
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33. Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands
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Dengler, Jürgen, primary, Matthews, Thomas J., additional, Steinbauer, Manuel J., additional, Wolfrum, Sebastian, additional, Boch, Steffen, additional, Chiarucci, Alessandro, additional, Conradi, Timo, additional, Dembicz, Iwona, additional, Marcenò, Corrado, additional, García‐Mijangos, Itziar, additional, Nowak, Arkadiusz, additional, Storch, David, additional, Ulrich, Werner, additional, Campos, Juan Antonio, additional, Cancellieri, Laura, additional, Carboni, Marta, additional, Ciaschetti, Giampiero, additional, De Frenne, Pieter, additional, Dolezal, Jiri, additional, Dolnik, Christian, additional, Essl, Franz, additional, Fantinato, Edy, additional, Filibeck, Goffredo, additional, Grytnes, John‐Arvid, additional, Guarino, Riccardo, additional, Güler, Behlül, additional, Janišová, Monika, additional, Klichowska, Ewelina, additional, Kozub, Łukasz, additional, Kuzemko, Anna, additional, Manthey, Michael, additional, Mimet, Anne, additional, Naqinezhad, Alireza, additional, Pedersen, Christian, additional, Peet, Robert K., additional, Pellissier, Vincent, additional, Pielech, Remigiusz, additional, Potenza, Giovanna, additional, Rosati, Leonardo, additional, Terzi, Massimo, additional, Valkó, Orsolya, additional, Vynokurov, Denys, additional, White, Hannah, additional, Winkler, Manuela, additional, and Biurrun, Idoia, additional
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- 2019
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34. GrassPlot - a database of multi-scale plant diversity in Palaearctic grasslands
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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.
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- 2018
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35. GrassVeg.DE – die neue kollaborative Vegetationsdatenbank für alle Offenlandhabitate Deutschlands
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Dengler, Jürgen, Becker, Thomas, Conradi, Timo, Dolnik, Christian, Heindl-Tenhunen, Bärbel, Jensen, Kai, Kaufmann, Jana, Klotz, Marius, Kurzböck, Claudia, Langer, Nancy, Marquardt, Britta, Putfarken, Dorothee, Rahmlow, Melanie, Schuhmacher, Oliver, Went, Julia, Dengler, Jürgen, Becker, Thomas, Conradi, Timo, Dolnik, Christian, Heindl-Tenhunen, Bärbel, Jensen, Kai, Kaufmann, Jana, Klotz, Marius, Kurzböck, Claudia, Langer, Nancy, Marquardt, Britta, Putfarken, Dorothee, Rahmlow, Melanie, Schuhmacher, Oliver, and Went, Julia
- Abstract
Der Bericht stellt die neue kollaborative Vegetationsdatenbank GrassVeg.DE vor, die Vegetationsaufnahmen von Grasländern und anderen nicht-aquatischen Offenlandhabitaten Deutschlands sammelt, um sie national und international für die vegetationsökologische Forschung zur Verfügung zu stellen. GrassVeg.DE trägt die Daten zum European Vegetation Archive (EVA) und künftig auch zur globalen Vegetationsdatenbank „sPlot“ bei. Datenlieferanten von GrassVeg.DE behalten volle Verfügungsgewalt über ihre Daten und werden Mitglied des Grass-Veg.DE-Konsortiums. Dadurch profitieren sie durch Co-Autorenschaften und Zitate von ihren Beiträgen und erlangen zugleich die Möglichkeit, selbst Projekte zu beantragen, die GrassVeg.DE- oder EVA-Daten nutzen. Die schnell wachsende GrassVeg.DE-Datenbank umfasste im Juli 2017 3.181 Vegetationsaufnahmen aus acht deutschen Bundesländern. Perspektivisch kann GrassVeg.DE dazu beitragen, eine konsistente Neuklassifikation der Graslandvegetationstypen Deutschlands im Rahmen der Synopsis der Pflanzengesellschaften Deutschlands zu ermöglichen. Wir schließen den Beitrag mit einem Aufruf, eigene und aus der Literatur digitalisierte Vegetationsaufnahmen zu GrassVeg.DE beizutragen.
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- 2018
36. A preliminary phylogeny of the Lecanora saligna -group, with notes on species delimitation.
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Ivanovich, Cristóbal, Dolnik, Christian, Otte, Volker, Palice, Zdeněk, Sohrabi, Mohammad, and Printzen, Christian
- Subjects
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PHYLOGENY , *SPECIES , *METABOLITES , *SPECIES diversity , *PHENOTYPES , *PHYLOGEOGRAPHY , *MOUNTAIN soils - Abstract
Lecanora s. lat. is a genus of crustose, rarely placodioid lichens comprising c. 1000 recognized species and subdivided into several morphology-based groups. Some of these groups have been supported in phylogenetic analyses and segregated as new genera. One of the remaining groups that has not been previously studied by molecular methods in much detail, the L. saligna-group, includes corticolous and lignicolous crustose lichens, usually containing isousnic or usnic acid (or both) as major secondary metabolites. As part of our ongoing project 'Lecanomics', a phylogenetic analysis based on two loci was conducted and found the L. saligna-group to be divided into two main clades and several well-supported minor clades. The L. varia clade, chosen as one of the outgroups, emerged within the L. saligna-group. The majority of the clades are characterized by phenotypic differences. However, several well-supported clades share similarities with their sister groups, suggesting that species circumscriptions based solely on phenotypic characters may be too conservative to characterize the true species diversity present within the group. Also, there is evidence for some geographical separation of lineages; for example, most North American individuals, previously known as Lecanora saligna and L. albellula, form two clades separate from their European namesakes and are here preliminarily called 'Lecanora sp. B', 'Lecanora sp. C' and 'Lecanora sp. D'. However, L. saligna and L. albellula also appear to occur in North America, and some specimens from the Caucasus and Iran cluster within the North American clades. Lecanora anopta and L. subravida are reported for the first time from Iran. [ABSTRACT FROM AUTHOR]
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- 2021
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37. GrassVeg.DE – the new collaborative vegetation-plot database for herba-ceous vegetation types of Germany
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Dengler, Jürgen, Becker, Thomas, Conradi, Timo, Dolnik, Christian, Heindl-Tenhunen, Bärbel, Jensen, Kai, Kaufmann, Jana, Klotz, Marius, Kurzböck, Claudia, Lampe, Patrick, Langer, Nancy, Marquardt, Britta, Putfarken, Dorothee, Rahmlow, Melanie, Schuhmacher, Oliver, and Went, Julia
- Subjects
2. Zero hunger ,0106 biological sciences ,Grassland ecology ,relevé ,15. Life on land ,010603 evolutionary biology ,01 natural sciences ,Turboveg ,Germany ,Ecoinformatics ,Vegetation-plot database ,sh85015976 Botany ,grassland ,577: Ökologie ,GrassVeg.DE ,collaborative ,Eurasian Dry Grassland Group (EDGG) ,010606 plant biology & botany ,European Vegetation Archive (EVA) - Abstract
Der Bericht stellt die neue kollaborative Vegetationsdatenbank GrassVeg.DE (EU-DE-020; http://bit.ly/2qgX208) vor, die Vegetationsaufnahmen von Grasländern und anderen nicht-aquatischen Offenlandhabitaten Deutschlands sammelt, um sie national und international für die vegetationsökologische Forschung zur Verfügung zu stellen. GrassVeg.DE trägt die Daten zum European Vegetation Archive (EVA) und künftig auch zur globalen Vegetationsdatenbank „sPlot“ bei. Datenlieferanten von GrassVeg.DE behalten volle Verfügungsgewalt über ihre Daten und werden Mitglied des GrassVeg.DE-Konsortiums. Dadurch profitieren sie durch Co-Autorenschaften und Zitate von ihren Beiträgen und erlangen zugleich die Möglichkeit, selbst Projekte zu beantragen, die GrassVeg.DE- oder EVA-Daten nutzen. Die schnell wachsende GrassVeg.DE-Datenbank umfasste im Juli 2017 3.181 Vegetationsaufnahmen aus acht deutschen Bundesländern. Perspektivisch kann GrassVeg.DE dazu beitragen, eine konsistente Neuklassifikation der Graslandvegetationstypen Deutschlands im Rahmen der Synopsis der Pflanzengesellschaften Deutschlands zu ermöglichen. Wir schließen den Beitrag mit einem Aufruf, eigene und aus der Literatur digitalisierte Vegetationsaufnahmen zu GrassVeg.DE beizutragen., This report presents the new collaborative vegetation-plot database GrassVeg.DE (EU-DE-020; http://bit.ly/2qgX208) which collects vegetation-plot records (relevés) from grasslands and other non-woodland and non-aquatic habitats from Germany to make them accessible for ecological research nationally and internationally. Data from GrassVeg.DE are provided to the European Vegetation Archive (EVA) and, in the future, also to the global database „sPlot“. Data providers of GrassVeg.DE retain full copyright of their data and becomd members of the GrassVeg.DE Consortium. Thereby, they profit from their contribution via co-authorships and citations as well as the option to propose own projects using the full GrassVeg.DE or EVA data. In July 2017, the fast-growing GrassVeg.DE database contained 3,181 vegetation plots, originating from eight federal states of Germany. In the future, GrassVeg.DE could facilitate the consistent re-classification of the grassland types within the series Synopsis der Pflanzengesellschaften Deutschlands. We conclude the report with a call to contribute own relevés and relevés digitised from the literature to GrassVeg.DE.
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- 2017
38. GrassVeg.DE - the new collaborative vegetation-plot database for herbaceous vegetation types of Germany
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Dengler, Juergen, Becker, Thomas, Conradi, Timo, Dolnik, Christian, Heindl-Tenhunen, Baerbel, Jensen, Kai, Kaufmann, Jana, Klotz, Marius, Kurzboeck, Claudia, Lampe, Patrick, Langer, Nancy, Marquardt, Britta, Putfarken, Dorothee, Rahmlow, Melanie, Schuhmacherl, Oliver, and Went, Julia
- Subjects
European Vegetarian Archive (EVA) ,EUROPE ,releve ,DRY GRASSLANDS ,relevé ,vegetation-plot database ,Turboveg ,ecoinformatics ,CLASSIFICATION ,ddc:580 ,Germany ,grassland ,GrassVeg.DE ,collaborative ,Eurasian Dry Grassland Group (EDGG) ,European Vegetation Archive (EVA) - Abstract
Der Bericht stellt die neue kollaborative Vegetationsdatenbank GrassVeg.DE (EU-DE-020; http://bit.ly/2qgX208) vor, die Vegetationsaufnahmen von Grasländern und anderen nicht-aquatischen Offenlandhabitaten Deutschlands sammelt, um sie national und international für die vegetationsökologische Forschung zur Verfügung zu stellen. GrassVeg.DE trägt die Daten zum European Vegetation Archive (EVA) und künftig auch zur globalen Vegetationsdatenbank „sPlot“ bei. Datenlieferanten von GrassVeg.DE behalten volle Verfügungsgewalt über ihre Daten und werden Mitglied des Grass-Veg.DE-Konsortiums. Dadurch profitieren sie durch Co-Autorenschaften und Zitate von ihren Beiträgen und erlangen zugleich die Möglichkeit, selbst Projekte zu beantragen, die GrassVeg.DE- oder EVA-Daten nutzen. Die schnell wachsende GrassVeg.DE-Datenbank umfasste im Juli 2017 3.181 Vegetationsaufnahmen aus acht deutschen Bundesländern. Perspektivisch kann GrassVeg.DE dazu beitragen, eine konsistente Neuklassifikation der Graslandvegetationstypen Deutschlands im Rahmen der Synopsis der Pflanzengesellschaften Deutschlands zu ermöglichen. Wir schließen den Beitrag mit einem Aufruf, eigene und aus der Literatur digitalisierte Vegetationsaufnahmen zu GrassVeg.DE beizutragen This report presents the new collaborative vegetation-plot database GrassVeg.DE (EU-DE-020; http://bitly/2qgX208) which collects vegetation-plot records (releves) from grasslands and other non woodland and non-aquatic habitats from Germany to make them accessible for ecological research nationally and internationally. Data from GrassVeg.DE are provided to the European Vegetation Archive (EVA) and, in the future, also to the global database "sPlot". Data providers of GrassVeg.DE retain full copyright of their data and becomd members of the GrassVeg.DE Consortium. Thereby, they profit from their contribution via co-authorships and citations as well as the option to propose own projects using the full GrassVeg.DE or EVA data. In July 2017, the fast-growing GrassVeg.DE database contained 3,181 vegetation plots, originating from eight federal states of Germany. In the future, GrassVeg.DE could facilitate the consistent re-Classification of the grassland types within the series Synopsis der Pflanzengesellschaflen Deutschlands. We conclude the report with a call to contribute own releves and releves digitised from the literature to GrassVeg.DE.
- Published
- 2017
39. Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands.
- Author
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Dengler, Jürgen, Matthews, Thomas J., Steinbauer, Manuel J., Wolfrum, Sebastian, Boch, Steffen, Chiarucci, Alessandro, Conradi, Timo, Dembicz, Iwona, Marcenò, Corrado, García‐Mijangos, Itziar, Nowak, Arkadiusz, Storch, David, Ulrich, Werner, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ciaschetti, Giampiero, De Frenne, Pieter, Dolezal, Jiri, and Dolnik, Christian
- Subjects
PALEARCTIC ,GRASSLANDS ,VASCULAR plants ,NONLINEAR regression ,PLANT communities ,PLANT diversity ,GRAIN - Abstract
Aim: Species–area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location: Palaearctic grasslands and other non‐forested habitats. Taxa: Vascular plants, bryophytes and lichens. Methods: We used the GrassPlot database, containing standardized vegetation‐plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throughout the Palaearctic and including 2,057 nested‐plot series with at least seven grain sizes ranging from 1 cm2 to 1,024 m2. Using nonlinear regression, we assessed the appropriateness of different SAR functions (power, power quadratic, power breakpoint, logarithmic, Michaelis–Menten). Based on AICc, we tested whether the ranking of functions differed among taxonomic groups, methodological settings, biomes or vegetation types. Results: The power function was the most suitable function across the studied taxonomic groups. The superiority of this function increased from lichens to bryophytes to vascular plants to all three taxonomic groups together. The sampling method was highly influential as rooted presence sampling decreased the performance of the power function. By contrast, biome and vegetation type had practically no influence on the superiority of the power law. Main conclusions: We conclude that SARs of sessile organisms at smaller spatial grains are best approximated by a power function. This coincides with several other comprehensive studies of SARs at different grain sizes and for different taxa, thus supporting the general appropriateness of the power function for modelling species diversity over a wide range of grain sizes. The poor performance of the Michaelis–Menten function demonstrates that richness within plant communities generally does not approach any saturation, thus calling into question the concept of minimal area. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
40. Additional Interesting Records of Lichenized and Lichenicolous Fungi from Northern Germany
- Author
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Schiefelbein, Ulf, primary, Brackel, Wolfgang von, additional, Cezanne, Rainer, additional, Eichler, Marion, additional, Krzewicka, Beata, additional, Neumann, Patrick, additional, Schultz, Matthias, additional, and Dolnik, Christian, additional
- Published
- 2018
- Full Text
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41. Ergänzungen und Korrekturen zu „Deutsche Namen für Flechten” I
- Author
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Cezanne, Rainer, primary, Eichler, Marion, additional, Berger, Franz, additional, Brackel, Wolfgang von, additional, Dolnik, Christian, additional, John, Volker, additional, and Schultz, Matthias, additional
- Published
- 2017
- Full Text
- View/download PDF
42. GrassVeg.DE – die neue kollaborative Vegetationsdatenbank für alle Offenlandhabitate Deutschlands
- Author
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Dengler, Jürgen, Becker, Thomas, Conradi, Timo, Dolnik, Christian, Heindl-Tenhunen, Bärbel, Jensen, Kai, Kaufmann, Jana, Klotz, Marius, Kurzböck, Claudia, Lampe, Patrick, Langer, Nancy, Marquardt, Britta, Putfarken, Dorothee, Rahmlow, Melanie, Schuhmacher, Oliver, Went, Julia, Dengler, Jürgen, Becker, Thomas, Conradi, Timo, Dolnik, Christian, Heindl-Tenhunen, Bärbel, Jensen, Kai, Kaufmann, Jana, Klotz, Marius, Kurzböck, Claudia, Lampe, Patrick, Langer, Nancy, Marquardt, Britta, Putfarken, Dorothee, Rahmlow, Melanie, Schuhmacher, Oliver, and Went, Julia
- Abstract
Der Bericht stellt die neue kollaborative Vegetationsdatenbank GrassVeg.DE (EU-DE-020; http://bit.ly/2qgX208) vor, die Vegetationsaufnahmen von Grasländern und anderen nicht-aquatischen Offenlandhabitaten Deutschlands sammelt, um sie national und international für die vegetationsökologische Forschung zur Verfügung zu stellen. GrassVeg.DE trägt die Daten zum European Vegetation Archive (EVA) und künftig auch zur globalen Vegetationsdatenbank „sPlot“ bei. Datenlieferanten von GrassVeg.DE behalten volle Verfügungsgewalt über ihre Daten und werden Mitglied des GrassVeg.DE-Konsortiums. Dadurch profitieren sie durch Co-Autorenschaften und Zitate von ihren Beiträgen und erlangen zugleich die Möglichkeit, selbst Projekte zu beantragen, die GrassVeg.DE- oder EVA-Daten nutzen. Die schnell wachsende GrassVeg.DE-Datenbank umfasste im Juli 2017 3.181 Vegetationsaufnahmen aus acht deutschen Bundesländern. Perspektivisch kann GrassVeg.DE dazu beitragen, eine konsistente Neuklassifikation der Graslandvegetationstypen Deutschlands im Rahmen der Synopsis der Pflanzengesellschaften Deutschlands zu ermöglichen. Wir schließen den Beitrag mit einem Aufruf, eigene und aus der Literatur digitalisierte Vegetationsaufnahmen zu GrassVeg.DE beizutragen., This report presents the new collaborative vegetation-plot database GrassVeg.DE (EU-DE-020; http://bit.ly/2qgX208) which collects vegetation-plot records (relevés) from grasslands and other non-woodland and non-aquatic habitats from Germany to make them accessible for ecological research nationally and internationally. Data from GrassVeg.DE are provided to the European Vegetation Archive (EVA) and, in the future, also to the global database „sPlot“. Data providers of GrassVeg.DE retain full copyright of their data and becomd members of the GrassVeg.DE Consortium. Thereby, they profit from their contribution via co-authorships and citations as well as the option to propose own projects using the full GrassVeg.DE or EVA data. In July 2017, the fast-growing GrassVeg.DE data-base contained 3,181 vegetation plots, originating from eight federal states of Germany. In the future, GrassVeg.DE could facilitate the consistent re-classification of the grassland types within the series Synopsis der Pflanzengesellschaften Deutschlands. We conclude the report with a call to contribute own relevés and relevés digitised from the literature to GrassVeg.DE.
- Published
- 2017
43. Uwe de Bruyn
- Author
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Linders, Hans-Wilhelm, primary, Dolnik, Christian, additional, Homm, Thomas, additional, Schiefelbein, Ulf, additional, and Schultz, Matthias, additional
- Published
- 2017
- Full Text
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44. Deutsche Namen Für Flechten
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Cezanne, Rainer, primary, Eichler, Marion, additional, Berger, Franz, additional, Brackel, Wolfgang von, additional, Dolnik, Christian, additional, John, Volker, additional, and Schultz, Matthias, additional
- Published
- 2016
- Full Text
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45. The lichen genus Myriospora in the Baltic coastal zone of Germany
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Schiefelbein, Ulf, Dolnik, Christian, and Westberg, Martin
- Subjects
Biologisk systematik ,Botany ,Botanik ,Biological Systematics - Abstract
Information on the ecology and distribution of Myriospora species in the Baltic coastal zone of Germany isprovided. The three species (M. myochroa, M. rhagadiza, M. smaragdula) occurring in the study area arewidely distributed, but show differences in frequency and distribution pattern. Myriospora rhagadiza is rathercommon but strictly restricted to the Baltic shoreline in contrast to the other two species.
- Published
- 2015
46. Festuco-Brometea communities of the Transylvanian Plateau (Romania) : a preliminary overview on syntaxonomy, ecology, and biodiversity
- Author
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Dengler, Jürgen, Becker, Thomas, Ruprecht, Eszter, Szabó, Anna, Becker, Ute, Beldean, Monica, Bita-Nicolae, Claudia, Dolnik, Christian, Goia, Irina, Peyrat, Jann, Sutcliffe, Laura M. E., Turtureanu, Pavel Dan, and Uğurlu, Emin
- Subjects
ddc:580 - Abstract
The Transylvanian Plateau in Romania is well known to host large areas of a variety of dry grassland types, still traditionally managed by low-intensity mowing or grazing. While this natural heritage is now under threat from changes in agricultural practices, the diversity of Transylvanian dry grasslands is still little understood. There is a lack of both field data sampled with standardised methods and a syntaxonomic treatment with modern statistical methods and supra-regional perspective. Therefore, the European Dry Grassland Group (EDGG) carried out its first international Research Expedition in Transylvania 2009 to study syntaxonomy, vegetation-environment relationships, and biodiversity patterns of these communities. In various locations across Transylvania, we sampled 10-m² vegetation plots (n = 82) and nested-plot series from 0.0001 m² to 100 m² (n = 20), including all vascular plant, bryophyte, and lichen species, as well as structural and soil data. The vegetation classification was carried out with modified TWINSPAN, followed by determination of diagnostic species with phi values and a small-scale re-assignment of relevés with the aim of crispness maximisation. Both TWINSPAN and ordination revealed three major groups of syntaxa, which were matched to three orders from the class of basiphilous dry grasslands, Festuco-Brometea, represented by one alliance each: rocky dry grasslands (Stipo pulcherrimae-Festucetalia pallentis: Seslerion rigidae); xeric grasslands on deep soils (Festucetalia valesiacae: Stipion lessingianae) and meso-xeric grasslands on deep soils (Brachypodietalia pinnati: Cirsio-Brachypodion pinnati). We accepted nine association-level units plus two that potentially merit association status but were only represented by one relevé each. Most of the units could be identified with one or several previously described associations. To support nomenclatural stability, we provide a nomenclatural revision and designate nomenclatural types where previously there were none. Further, we used DCA ordination and analysis of variance to determine the main environmental drivers of floristic differentiation and to determine ecological and structural differences between the vegetation types. The strongest differentiation occurred along the aridity gradient with the dense, particularly diverse stands on more or less level sites on the one hand (Brachypodietalia pinnati) and the more open, less diverse stands on steep south-facing slopes on the other end of the gradient (Stipo pulcherrimae- Festucetalia pallentis, Festucetalia valesiacae). The two xeric orders were then separated along the second DCA axis, with the Stipo pulcherrimae-Festucetalia pallentis inhabiting the stone-rich sites at higher altitudes while the Festucetalia valesiacae occur on soft, deep substrata at lower altitudes. The analysed dry grassland communities have extraordinarily high -diversity at all spatial scales for all plants and for vascular plants, but are relatively poor in bryophytes and lichens. Some formerly mown stands of the Festuco sulcatae-Brachypodietum pinnati (Brachypodietalia pinnati) are even richer in vascular plant species than any other recorded vegetation type worldwide on the spatial scales of 0.1 m² (43) and 10 m² (98); the respective relevés are documented here for the first time. Also, the b-diversity of the grasslands was unexpectedly high, with a mean z-value of 0.275. Despite its limited extent, the methodological thoroughness of this study allows us to shed new light on the syntaxonomy of dry grasslands in Romania and to raise the awareness that Transylvania still hosts High Nature Value grasslands that are bio - diversity hotspots at a global scale but at the same time are highly endangered through changes in agricultural practices. Das Siebenbürgische Becken ist bekannt als Heimat verschiedener Typen von Trockenrasen, die eine große Fläche einnehmen. Diese Grasländer werden zum großen Teil noch sehr traditionell durch exten sive Beweidung oder Mahd genutzt. Während dieses Naturerbe derzeit durch gravierende Land nutzungs änderungen gefährdet ist, ist wenig über die Vielfalt der Siebenbürgischen Trockenrasen bekannt. Es fehlten standardisiert erhobene Daten sowie syntaxonomische Auswertungen mit modernen statistischen Methoden aus einem überregionalen Blickwinkel. All diese Tatsachen zusammen motivierten die European Dry Grassland Group (EDGG) dazu, ihre erste internationale Forschungsexpedition im Jahre 2009 nach Siebenbürgen durchzuführen, um die Syntaxonomie, Ökologie und Biodiversitätsmuster der Siebenbürgischen Trockenrasengesellschaften zu untersuchen. In verschiedenen Gebieten Siebenbürgens fertigten wir sowohl Vegetationsaufnahmen auf 10 m²-Flächen (n = 82) als auch geschachtelte Aufnahmeserien auf Flächen von von 0,0001 m² bis 100 m² Größe (n = 20) an. In den Aufnahmenflächen wurden Gefäßpflanzen, Moose und Flechten erhoben sowie Untersuchungen der Vegetationsstruktur und Bodeneigenschaften durchgeführt. Die Vegetationsklassifikation erfolgte mit Hilfe einer modifizierten TWINSPAN-Analyse. Diagnostische Arten wurden durch Phi-Werte nach einer Neuzuordnung weniger Aufnahmen mit dem Ziel der Maximierung der Trennschärfe ermittelt. Sowohl durch TWINSPAN als auch durch die Ordninationanalyse wurden drei Hauptgruppen von Syntaxa ermittelt, die je einer Einheit innerhalb von drei Vegetationsordnungen der Klasse der basiphilen Trockenrasen (Festuco-Brometea) zugeordnet wurden: Felstrockenrasen (Stipo pulcherrimae-Festucetalia pallentis: Seslerion rigidae); Trockenrasen auf tiefgründigem Boden (Festucetalia valesiacae: Stipion lessingianae) und Halbtrockenrasen auf tiefgründigen Böden (Brachypodietalia pinnati: Cirsio-Brachypodion pinnati). Wir akzeptierten neun Vegetationseinheiten auf der Ebene von Assoziationen sowie zwei weitere mögliche Assoziationen, die aber nur durch jeweils eine Vegetationsaufnahme repräsentiert waren. Die meisten Einheiten konnten einer oder mehreren bereits beschriebenen Assoziationen zugeordnet werden. Um nomenklatorische Stabilität zu erreichen, führten wir eine nomenklatorische Revision der Gesellschaften durch und benannten neue nomenklatorische Einheiten. Weiterhin führten wir eine Gradientenanalyse (DCA) und Varianzanalysen durch, um den Zusammenhang zwischen Umweltfaktoren und Vegetationsunterschieden zu ermitteln sowie ökologische und strukturelle Unterschiede zwischen den Vegetationstypen zu analysieren Die stärksten floristischen Unterschiede wurden entlang eines Trockheitsgradienten mit dichter, besonders artenreicher Vegetation auf weniger stark geneigten Flächen auf der einen (Brachypodietalia pinnati) und offener, weniger artenreicher Vegetation an steilen Südhängen auf der anderen Seite des Gradienten (Stipo pulcherrimae-Festucetalia pallentis, Festucetalia valesiacae) ermittelt. Diese zwei Ordnungen differenzierten entlang der zweiten DCA-Achse, wobei die Stipo pulcherrimae-Festucetalia pallentis-Gesellschaften auf gesteinsreichen Flächen in höheren Lagen und die Festucetalia valesiacae- Gesellschaften auf tiefgründigen Böden in niedrigeren Lagen vorkommen. Die untersuchten Trockenrasengesellschaften besaßen über alle räumlichen Skalen hinweg eine außergewöhnlich hohe b-Diversität, bezogen auf die Gesamtartenzahl und die Gefäßpflanzen, aber sie waren arm an Moosen und Flechten. Für einige der früher gemähten Flächen der Festuco sulcatae-Brachypodietum pinnati-Gesellschaft (Brachypodietalia pinnati) wurde sogar die höchste Gefäßpflanzenvielfalt weltweit auf den Skalen 0,1 m² (43 Arten) und 10 m² (98 Arten) gemessen; die jeweiligen Vegetationsaufnahmen werden hier zum ersten Mal präsentiert. Auch die b-Diversität des Graslandes war unerwartet hoch mit einem mittleren z-Wert von 0.275. Zusammenfassend lässt sich sagen, dass unsere Studie durch die methodische Gründlichkeit trotz ihres begrenzten Ausmaßes ein neues Licht auf die Syntaxonomie der rumänischen Trockenrasen wirft. Weiterhin stärkt sie das Bewusstsein, dass Siebenbürgen immer noch Grasland von sehr hohem Schutzwert besitzt, das global betrachtet einen Hotspot der Biodiversität bildet, aber durch Landnutzungsänderungen stark gefährdet ist.
- Published
- 2014
47. Dry grassland vegetation of Central Podolia (Ukraine) : a preliminary overview of its syntaxonomy, ecology and biodiversity
- Author
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Kuzemko, Anna A., Becker, Thomas, Didukh, Yakiv P., Ardelean, Ioana Violeta, Becker, Ute, Beldean, Monica, Dolnik, Christian, Jeschke, Michael, Naqinezhad, Alireza, Uğurlu, Emin, Ünal, Aslan, Vassilev, Kiril, Vorona, Evgeniy I., Yavorska, Olena H., Dengler, Jürgen, Kuzemko, Anna A., Becker, Thomas, Didukh, Yakiv P., Ardelean, Ioana Violeta, Becker, Ute, Beldean, Monica, Dolnik, Christian, Jeschke, Michael, Naqinezhad, Alireza, Uğurlu, Emin, Ünal, Aslan, Vassilev, Kiril, Vorona, Evgeniy I., Yavorska, Olena H., and Dengler, Jürgen
- Abstract
We present the data of the 2nd research expedition of the European Dry Grassland Group (EDGG), which was conducted in 2010 in Central Podolia, Ukraine. The aim was to collect plot data to compare Ukrainian dry grasslands with those of other parts of Europe in terms of syntaxonomy and biodiversity. We sampled 21 nested-plot series (0.0001–100 m2) and 184 normal plots (10 m2) covering the full variety of dry grassland types occurring in the study region. For all plots, we recorded species composi-tion of terrestrial vascular plants, bryophytes and lichens, while for the 226 10-m2 plots we estimated and measured percentage cover of all species, structural, topographic, soil and landuse parameters. The 10-m² plots were used for phytosociological classification based on iteratively refined TWINSPAN classification as well as for DCA ordination. Differences between the derived vegetation types with respect to environmental conditions and species richness were assessed with ANOVAs. We assigned our plots to nine association-level units but refrained from placing them into formal associations with two exceptions. In the study area, dry grasslands of the Festuco-Brometea were far more common than those of the Koelerio-Corynephoretea. Among the Festuco-Brometea, xeric Festucetalia valesiacae grasslands were more frequent and represented by the Festucion valesiacae (2 associations, including the Allio taurici-Dichanthietum ischaemi ass. nova) and the Stipion lessingianae (1) compared to the Brachypodietalia pinnati with the Agrostio vinealis-Avenulion schellianae (3). The Koelerio-Corynephoretea were represented by three associations, each from a different order and alliance: basiphilous outcrops (Alysso alyssoidis-Sedetalia: Alysso alyssoidis-Sedion?), acidophilous outcrops (Sedo-Scleranthetalia: Veronico dillenii-Sedion albi?) and mesoxeric sandy grasslands (Trifolio arvensis-Festucetalia ovinae: Agrostion vinealis). We discuss the issue of the mesoxeric order Galietalia veri, Halbnatürliche Grasländer gehören auf der Skalenebene unter 100 m2 weltweit zu den artenreichsten bekannten Vegetationstypen (WILSON et al. 2012). Hierzu gehören insbesondere einige europäische Halbtrockenrasen, die alle eine enge Beziehung zur extensiven landwirtschaftlichen Nutzung aufweisen und damit anthropogenen Ursprungs sind. Es gibt dagegen wenig vergleichbare Daten zu den halbnatürlichen und natürlichen Graslandgesellschaften der europäischen Steppenregionen, etwa in der Ukraine. Die ukrainische Vegetationskunde stand lange in der Tradition der russischen Schule mit ihrem dominanzbasiertem Klassifikationssysem (ALEXANDROVA 1973). Seit etwa zwei Jahrzehnten werden aber zunehmend pflanzensoziologische Klassifikationen veröffentlicht. Ein transnationaler Datenvergleich mit Vegetationsaufnahmen aus anderern europäischen Ländern war bisher schwierig und soll daher mit dieser Studie unterstützt werden, um eine einheitliche Klassifikation der europäischen Trockenrasen zu ermöglichen. Die European Dry Grassland Group (EDDG) hat sich zum Ziel gesetzt, nach einer standardisierten Erfassungsmethode (DENGLER 2009) in bisher wenig untersuchten Gebieten Europas vergleichbares Datenmaterial zur Trockenrasenvegetation zu erheben und in eine konsistente supranationale Klassifikation einzubringen. Ziele der zweiten Forschungsexpedition der EDGG im Jahre 2010 nach Zentral-Podolien waren daher (1) die Abgrenzung der im Untersuchungsge-biet vorkommenden Trockenrasentypen und Ermittlung ihrer Kennarten mit statistischen Methoden; (2) die Einordnung dieser Einheiten in das europäische syntaxonomische System; (3) ein Grundverständnis der ökologischen Faktoren, welche zur Differenzierung dieser Einheiten führen; und (4) die Dokumentation der Diversitätsmuster von Gefäßpflanzen, Moosen und Flechten auf verschiedenen räumlichen Skalenebenen.
- Published
- 2014
48. Interesting Records of Lichenized, Lichenicolous and Saprophytic Fungi from Northern Germany
- Author
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Schiefelbein, Ulf, primary, Dolnik, Christian, additional, Bruyn, Uwe de, additional, Schultz, Matthias, additional, Thiemann, René, additional, Stordeur, Regine, additional, Boom, Pieter P. G. van den, additional, Litterski, Birgit, additional, and Sipman, Harrie J. M., additional
- Published
- 2014
- Full Text
- View/download PDF
49. Dry Grasslands in a Changing Environment - Special Feature with contributions from the 5th Dry Grassland Meeting 2008 in Kiel
- Author
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Dolnik, Christian, Dengler, Jürgen, Jandt, Ute, and Kiehl, Kathrin
- Subjects
ddc:580 - Abstract
We first report from the 5th Dry Grassland Meeting held from 28th to 30st of August 2008 in Kiel, Germany. Then we take stock of the achievements of the German Arbeitsgruppe Trockenrasen and the international Working Group on Dry Grasslands in the Nordic and Baltic Region towards establishment of vegetation databases of dry grasslands in these study regions. At the conference, the European Dry Grassland Group (EDGG) was founded as an international platform of dry grassland researchers and conservationists. As networking tools it provides a homepage on the internet, publishes a quarterly electronical bulletin, and will organise the future European Dry Grassland Meetings. In the last part of this contribution, we give a short introduction to the five articles of this Special Feature. Four of them make a major contribution to supra-national classification of Koelerio-Corynephoretea and Festuco- Brometea communities, respectively, by providing syntaxonomic overviews based on comprehensive data from eastern European countries for which only few data have been available until now. The other major focus of the Feature papers is on degradation and restoration of various types of dry grasslands. Zunächst berichten wir von der 5. Trockenrasentagung vom 28.-30. August 2008 in Kiel. Dann fassen wir zusammen, was die deutsche Arbeitsgruppe Trockenrasen und die internationale Working Group on Dry Grasslands in the Nordic and Baltic Region hinsichtlich der Errichtung von Datenbanken mit Vegetationsaufnahmen von Trockenrasen aus den jeweiligen Untersuchungsgebieten bislang erreicht haben. Während der Tagung wurde die European Dry Grassland Group (EDGG) als internationale Plattform für Trockenrasenforscher und -Schützer gegründet. Sie will zum Informationsaustausch zwischen diesen beitragen, indem sie eine Homepage im Internet betreibt, ein vierteljährliches elektronisches Bulletin publiziert und die künftigen European Dry Grassland Meetings organisiert. Im letzten Teil führen wir kurz in die fünf Artikel dieses Sammelbeitrages ein. Vier davon stellen einen wesentlichen Beitrag zur großräumigen Klassifikation der Koelerio-Corynephoretea bzw. Festuco-Brometea dar, indem sie syntaxonomische Übersichten basierend auf umfangreichem Aufnahmematerial aus osteuropäischen Ländern präsentieren, für die bisher kaum pflanzensoziologische Daten verfügbar waren. Der zweite Themenschwerpunkt in den Artikeln ist die Degradierung und Wiederherstellung von verschiedenen Trockenrasentypen.
- Published
- 2009
50. Restoration and spontaneous establishment of dry and semi-dry grasslands at traditional and urban-industrial sites - Conference in Freising-Weihenstephan, 6-8 September 2007
- Author
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Kiehl, Kathrin, Albrecht, Harald, Röder, Daniela, Jeschke, Michael, Dolnik, Christian, Schwabe, Angelika, Jandt, Ute, and Dengler, Jürgen
- Subjects
ddc:580 - Abstract
We give a report of the fourth annual symposium of the Dry Grassland Working Group, which was organized in conjunction with the second workshop ‘Floristics and geobotany - Contributions to applied questions’, from 6 to 8 Sept. 2007 in Freising-Weihenstephan. The symposium was entitled ‘Restoration and spontaneous establishment of dry and semi-dry grasslands at traditional and urban-industrial sites’. Additionally, the aims of the Dry Grassland Working Group are shortly outlined and the next symposia of both groups are announced.
- Published
- 2008
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