127 results on '"Schaminée, Joop H. J."'
Search Results
2. The Future of Agricultural Land
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Schaminée, Joop H. J., van Rooijen, Nils M., Cabin, Robert J., Series Editor, and Hobohm, Carsten, editor
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- 2021
- Full Text
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3. Land Use Change and the Future of Biodiversity
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Hobohm, Carsten, Beierkuhnlein, Carl, Börtitz, Christine, Ralph Clark, V., El Balti, Nadja, Fichtner, Andreas, Franklin, Scott, Gaens, Thomas, Härdtle, Werner, Hansen, Andreas Skriver, Janišová, Monika, Jansen, Jan, Lindner, Martin, Moro-Richter, Michaela, Müller-Benedict, Volker, Ott, Konrad, Reinmuth, Karl Christoph, van Rooijen, Nils M., Sandberg, Mattias, Schamineé, Joop H. J., Tang, Cindy Q., Vahle, Hans-Christoph, Vanderplank, Sula E., Cabin, Robert J., Series Editor, and Hobohm, Carsten, editor
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- 2021
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- View/download PDF
4. Is livestock grazing a key factor for changing vegetation patterns in lime rich coastal dunes in the Netherlands?
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van der Hagen, Harrie G. J. M., Assendorp, Dan, Calame, Wim, van der Meulen, Frank, Sýkora, Karlè V., and Schaminée, Joop H. J.
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- 2020
5. Classification of European and Mediterranean coastal dune vegetation
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Marcenò, Corrado, Guarino, Riccardo, Loidi, Javier, Herrera, Mercedes, Isermann, Maike, Knollová, Ilona, Tichý, Lubomír, Tzonev, Rossen T., Acosta, Alicia Teresa Rosario, FitzPatrick, Úna, Iakushenko, Dmytro, Janssen, John A. M., Jiménez-Alfaro, Borja, Kącki, Zygmunt, Keizer-Sedláková, Iva, Kolomiychuk, Vitaliy, Rodwell, John S., Schaminée, Joop H. J., Šilc, Urban, and Chytrý, Milan
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- 2018
6. Modelling the distribution and compositional variation of plant communities at the continental scale
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Jiménez-Alfaro, Borja, Suárez-Seoane, Susana, Chytrý, Milan, Hennekens, Stephan M., Willner, Wolfgang, Hájek, Michal, Agrillo, Emiliano, Álvarez-Martínez, Jose M., Bergamini, Ariel, Brisse, Henry, Brunet, Jörg, Casella, Laura, Dítě, Daniel, Font, Xavier, Gillet, François, Hajková, Petra, Jansen, Florian, Jandt, Ute, Kącki, Zygmunt, Lenoir, Jonathan, Rodwell, John S., Schaminée, Joop H. J., Sekulová, Lucia, Šibík, Jozef, Škvorc, Željko, and Tsiripidis, Ioannis
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- 2018
7. Alien plant invasions in European woodlands
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Wagner, Viktoria, Chytrý, Milan, Jiménez-Alfaro, Borja, Pergl, Jan, Hennekens, Stephan, Biurrun, Idoia, Knollová, Ilona, Berg, Christian, Vassilev, Kiril, Rodwell, John S., Škvorc, Željko, Jandt, Ute, Ewald, Jörg, Jansen, Florian, Tsiripidis, Ioannis, Botta-Dukát, Zoltán, Casella, Laura, Attorre, Fabio, Rašomavičius, Valerijus, Čušterevska, Renata, Schaminée, Joop H. J., Brunet, Jörg, Lenoir, Jonathan, Svenning, Jens-Christian, Kącki, Zygmunt, Petrášová-Šibíková, Mária, Šilc, Urban, Garía-Mijangos, Itziar, Campos, Juan Antonio, Fernández-González, Federico, Wohlgemuth, Thomas, Onyshchenko, Viktor, and Pyšek, Petr
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- 2017
8. Phytosociological relationships in European Union policy-related habitat classifications
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Rodwell, John Stanley, Evans, Doug, and Schaminée, Joop H. J.
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- 2018
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9. Capricious, or tied to history's apron strings? Floristic regions in north-west European brambles (Rubus subgenus Rubus, Rosaceae)
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Haveman, Rense, Bijlsma, Rienk-Jan, de Ronde, Iris, and Schaminée, Joop H. J.
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- 2016
10. Plant Species Diversity Mediates Ecosystem Stability of Natural Dune Grasslands in Response to Drought
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van Rooijen, Nils M., de Keersmaecker, Wanda, Ozinga, Wim A., Coppin, Pol, Hennekens, Stephan M., Schaminée, Joop H. J., Somers, Ben, and Honnay, Olivier
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- 2015
11. Museum specimens reveal loss of pollen host plants as key factor driving wild bee decline in The Netherlands
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Scheper, Jeroen, Reemer, Menno, van Kats, Ruud, Ozinga, Wim A., van der Linden, Giel T. J., Schaminée, Joop H. J., Siepel, Henk, and Kleijn, David
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- 2014
12. Aboveground persistence of vascular plants in relationship to the levels of airborne nutrient deposition
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Hendriks, Rob J. J., Ozinga, Wim A., van den Berg, Leon J. L., Noordijk, Erik, Schaminée, Joop H. J., and van Groenendael, Jan M.
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- 2014
13. Specialists leave fewer descendants within a region than generalists
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Ozinga, Wim A., Colles, Audrey, Bartish, Igor V., Hennion, Françoise, Hennekens, Stephan M., Pavoine, Sandrine, Poschlod, Peter, Hermant, Marie, Schaminée, Joop H. J., and Prinzing, Andreas
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- 2013
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14. Vegetation survey: a new focus for "Applied Vegetation Science"
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Chytrý, Milan, Schaminée, Joop H. J., and Schwabe, Angelika
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- 2011
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15. The Global Index of Vegetation-Plot Databases (GIVD): a new resource for vegetation science
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Dengler, Jürgen, Jansen, Florian, Glöckler, Falko, Peet, Robert K., De Cáceres, Miquel, Chytrý, Milan, Ewald, Jörg, Oldeland, Jens, Lopez-Gonzalez, Gabriela, Finckh, Manfred, Mucina, Ladislav, Rodwell, John S., Schaminée, Joop H. J., and Spencer, Nick
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- 2011
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16. Factors relating to regional and local success of exotic plant species in their new range
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Speek, Tanja A. A., Lotz, Lambertus A. P., Ozinga, Wim A., Tamis, Wil L. M., Schaminée, Joop H. J., and van der Putten, Wim H.
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- 2011
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17. Phylogenetically Poor Plant Communities Receive More Alien Species, Which More Easily Coexist with Natives
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Gerhold, Pille, Pärtel, Meelis, Tackenberg, Oliver, Hennekens, Stephan M., Bartish, Igor, Schaminée, Joop H. J., Fergus, Alexander J. F., Ozinga, Wim A., and Prinzing, Andreas
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- 2011
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18. Assessing the Relative Importance of Dispersal in Plant Communities Using an Ecoinformatics Approach
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Ozinga, Wim A., Hennekens, Stephan M., Schaminée, Joop H. J., Bekker, Renée M., Prinzing, Andreas, Bonn, Susanne, Poschlod, Peter, Tackenberg, Oliver, Thompson, Ken, Bakker, Jan P., and van Groenendael, Jan M.
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- 2005
19. The role of livestock grazing in long-term vegetation changes in coastal dunes: a case study from the Netherlands.
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van der Hagen, Harrie G. J. M., Lammers, Erik, van der Meulen, Frank, Pätsch, Ricarda, van Rooijen, Nils M., Sýkora, Karlè V., and Schaminée, Joop H. J.
- Subjects
VEGETATION dynamics ,RABBIT diseases ,SAND dunes ,GRAZING ,GRASSLANDS ,LIVESTOCK ,SHRUBS - Abstract
The vegetation of coastal sand dunes is characterized by high species diversity and comprises some of the rarest vegetation types in North-Western Europe. Among them are dune grassland communities whose species richness relies on grazing. Those communities are assessed as a priority habitat type under the Natura 2000 legislation. In autumn 1990, Galloway cows and Nordic Fjord horses were introduced in the coastal dunes of Meijendel near The Hague (52º 7‘N; 4º 20’E), The Netherlands, to reduce encroachment of tall grasses and shrubs, to develop bare sand patches, and as such facilitating diverse vegetation structures in the dune grasslands. In the 1950s, decades before the introduction of livestock, 41 permanent plots were installed. On average, they were examined every four years. Our study hypothesised that the livestock grazing in the set densities would halt progressive succession and facilitate regressive succession. Up to 1990, we observed an equilibrium between progressive and regressive succession. After 1990, however, our data showed a pronounced progressive succession contradicting the hypothesized effect of the livestock grazing. We relate the main observed patterns with two factors linked to rabbit populations: (i) the myxomatosis outbreak in 1954 and (ii) the rabbit Viral Haemorrhagic Disease (rVHD-1) outbreak in 1989. In addition to livestock grazing, rabbits block progressive succession by feeding on seedlings of shrub and tree species and digging burrows, creating small-scale mosaics of bare sand and initiate blowout development when collapsing. We state that the substantial decrease in rabbit numbers due to the viral diseases likely caused the observed increase of shrubs and trees in the study area's permanent plots. Climate change might have contributed to the observed increase in autonomous blowout development since 2001, as well as a decrease in atmospheric nitrogen deposition since 1990, after a strong increase the decades before. [ABSTRACT FROM AUTHOR]
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- 2023
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20. Phytosociological survey of the desert vegetation of Sinai, Egypt
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Hatim, Mohamed Z., primary, Janssen, John A. M., additional, Pätsch, Ricarda, additional, Shaltout, Kamal, additional, and Schaminée, Joop H. J., additional
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- 2021
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21. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats
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Biología vegetal y ecología, Landaren biologia eta ekologia, Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun Galarraga, Miren Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos Prieto, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Korolyuk, Andrey Yu., Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, Schaminée, Joop H. J., Biología vegetal y ecología, Landaren biologia eta ekologia, Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun Galarraga, Miren Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos Prieto, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Korolyuk, Andrey Yu., Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, and Schaminée, Joop H. J.
- Abstract
Aim The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location Europe. Methods We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set-theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species-to-habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man-made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electronic expert
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- 2020
22. EUNIS Habitat Classification : expert system, characteristic species combinations and distribution maps of European habitats
- Author
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Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez‐Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean‐Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Yu. Korolyuk, Andrey, Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez‐Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, Schaminée, Joop H. J., Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez‐Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean‐Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Yu. Korolyuk, Andrey, Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez‐Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, and Schaminée, Joop H. J.
- Abstract
Aim: The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location: Europe. Methods: We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set-theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species-to-habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results: Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man-made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions: EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electronic ex
- Published
- 2020
23. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats
- Author
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Chytrý, Milan, primary, Tichý, Lubomír, additional, Hennekens, Stephan M., additional, Knollová, Ilona, additional, Janssen, John A. M., additional, Rodwell, John S., additional, Peterka, Tomáš, additional, Marcenò, Corrado, additional, Landucci, Flavia, additional, Danihelka, Jiří, additional, Hájek, Michal, additional, Dengler, Jürgen, additional, Novák, Pavel, additional, Zukal, Dominik, additional, Jiménez‐Alfaro, Borja, additional, Mucina, Ladislav, additional, Abdulhak, Sylvain, additional, Aćić, Svetlana, additional, Agrillo, Emiliano, additional, Attorre, Fabio, additional, Bergmeier, Erwin, additional, Biurrun, Idoia, additional, Boch, Steffen, additional, Bölöni, János, additional, Bonari, Gianmaria, additional, Braslavskaya, Tatiana, additional, Bruelheide, Helge, additional, Campos, Juan Antonio, additional, Čarni, Andraž, additional, Casella, Laura, additional, Ćuk, Mirjana, additional, Ćušterevska, Renata, additional, De Bie, Els, additional, Delbosc, Pauline, additional, Demina, Olga, additional, Didukh, Yakiv, additional, Dítě, Daniel, additional, Dziuba, Tetiana, additional, Ewald, Jörg, additional, Gavilán, Rosario G., additional, Gégout, Jean‐Claude, additional, Giusso del Galdo, Gian Pietro, additional, Golub, Valentin, additional, Goncharova, Nadezhda, additional, Goral, Friedemann, additional, Graf, Ulrich, additional, Indreica, Adrian, additional, Isermann, Maike, additional, Jandt, Ute, additional, Jansen, Florian, additional, Jansen, Jan, additional, Jašková, Anni, additional, Jiroušek, Martin, additional, Kącki, Zygmunt, additional, Kalníková, Veronika, additional, Kavgacı, Ali, additional, Khanina, Larisa, additional, Yu. Korolyuk, Andrey, additional, Kozhevnikova, Mariya, additional, Kuzemko, Anna, additional, Küzmič, Filip, additional, Kuznetsov, Oleg L., additional, Laiviņš, Māris, additional, Lavrinenko, Igor, additional, Lavrinenko, Olga, additional, Lebedeva, Maria, additional, Lososová, Zdeňka, additional, Lysenko, Tatiana, additional, Maciejewski, Lise, additional, Mardari, Constantin, additional, Marinšek, Aleksander, additional, Napreenko, Maxim G., additional, Onyshchenko, Viktor, additional, Pérez‐Haase, Aaron, additional, Pielech, Remigiusz, additional, Prokhorov, Vadim, additional, Rašomavičius, Valerijus, additional, Rodríguez Rojo, Maria Pilar, additional, Rūsiņa, Solvita, additional, Schrautzer, Joachim, additional, Šibík, Jozef, additional, Šilc, Urban, additional, Škvorc, Željko, additional, Smagin, Viktor A., additional, Stančić, Zvjezdana, additional, Stanisci, Angela, additional, Tikhonova, Elena, additional, Tonteri, Tiina, additional, Uogintas, Domas, additional, Valachovič, Milan, additional, Vassilev, Kiril, additional, Vynokurov, Denys, additional, Willner, Wolfgang, additional, Yamalov, Sergey, additional, Evans, Douglas, additional, Palitzsch Lund, Mette, additional, Spyropoulou, Rania, additional, Tryfon, Eleni, additional, and Schaminée, Joop H. J., additional
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- 2020
- Full Text
- View/download PDF
24. Optimal transformation of species cover for vegetation classification
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Tichý, Lubomír, primary, Hennekens, Stephan M., additional, Novák, Pavel, additional, Rodwell, John S., additional, Schaminée, Joop H. J., additional, and Chytrý, Milan, additional
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- 2020
- Full Text
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25. Alien flora across European coastal dunes
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Giulio, Silvia, primary, Acosta, Alicia Teresa Rosario, additional, Carboni, Marta, additional, Campos, Juan Antonio, additional, Chytrý, Milan, additional, Loidi, Javier, additional, Pergl, Jan, additional, Pyšek, Petr, additional, Isermann, Maike, additional, Janssen, John A. M., additional, Rodwell, John S., additional, Schaminée, Joop H. J., additional, and Marcenò, Corrado, additional
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- 2020
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26. Predictability of plant species composition from environmental conditions is constrained by dispersal limitation
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Ozinga, Wim A., Schaminée, Joop H. J., Bekker, Renée M., Bonn, Susanne, Poschlod, Peter, Tackenberg, Oliver, Bakker, Jan, and van Groenendael, Jan M.
- Published
- 2005
27. Modelling the distribution and compositional variation of plant communities at the continental scale
- Author
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Ecologia, Jiménez-Alfaro González, Borja, Suárez Seoane, Susana, Chytrý, Milan, Hennekens, Stephan M., Willner, Wolfgang, Hájek, Michal, Agrillo, Emiliano, Álvarez Martínez, José Manuel, Bergamini, Ariel, Brisse, Henry, Brunet, Jörg, Casella, Laura, Dítě, Daniel, Font, Xavier, Gillet, François, Hájková, Petra, Jansen, Florian, Jandt, Ute, Kącki, Zygmunt, Lenoir, Jonathan, Rodwell, John S., Schaminée, Joop H. J., Sekulová, Lucia, Šibík, Jozef, Škvorc, Željko, Tsiripidis, Ioannis, Ecologia, Jiménez-Alfaro González, Borja, Suárez Seoane, Susana, Chytrý, Milan, Hennekens, Stephan M., Willner, Wolfgang, Hájek, Michal, Agrillo, Emiliano, Álvarez Martínez, José Manuel, Bergamini, Ariel, Brisse, Henry, Brunet, Jörg, Casella, Laura, Dítě, Daniel, Font, Xavier, Gillet, François, Hájková, Petra, Jansen, Florian, Jandt, Ute, Kącki, Zygmunt, Lenoir, Jonathan, Rodwell, John S., Schaminée, Joop H. J., Sekulová, Lucia, Šibík, Jozef, Škvorc, Željko, and Tsiripidis, Ioannis
- Abstract
Aim: To investigate whether (1) environmental predictors allow to delineate the distri- bution of discrete community types at the continental scale and (2) how data complete- ness influences model generalization in relation to the compositional variation of the modelled entities.
- Published
- 2019
28. European vegetation survey: The context of the case studies
- Author
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Rodwell, John S., Mucina, Ladislav, Pignatti, Sandro, Schaminée, Joop H. J., and Chytrý, Milan
- Published
- 1997
- Full Text
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29. Evaluating the ecological realism of plant species distribution models with ecological indicator values
- Author
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Hellegers, Marjon, primary, Ozinga, Wim A., additional, Hinsberg, Arjen, additional, Huijbregts, Mark A. J., additional, Hennekens, Stephan M., additional, Schaminée, Joop H. J., additional, Dengler, Jürgen, additional, and Schipper, Aafke M., additional
- Published
- 2019
- Full Text
- View/download PDF
30. Making them visible and usable — vegetation‐plot observations from Fennoscandia based on historical species‐quantity scales
- Author
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Pätsch, Ricarda, primary, Jašková, Anni, additional, Chytrý, Milan, additional, Kucherov, Ilya B., additional, Schaminée, Joop H. J., additional, Bergmeier, Erwin, additional, and Janssen, John A. M., additional
- Published
- 2019
- Full Text
- View/download PDF
31. Evaluating the ecological realism of plant species distribution models with ecological indicator values.
- Author
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Hellegers, Marjon, Ozinga, Wim A., Hinsberg, Arjen, Huijbregts, Mark A. J., Hennekens, Stephan M., Schaminée, Joop H. J., Dengler, Jürgen, and Schipper, Aafke M.
- Subjects
BIOINDICATORS ,ECOLOGICAL models ,SPECIES distribution ,PLANT species ,PHYTOGEOGRAPHY ,HABITAT selection ,SOIL moisture - Abstract
Species distribution models (SDMs) are routinely applied to assess current as well as future species distributions, for example to assess impacts of future environmental change on biodiversity or to underpin conservation planning. It has been repeatedly emphasized that SDMs should be evaluated based not only on their goodness of fit to the data, but also on the realism of the modeled ecological responses. However, possibilities for the latter are hampered by limited knowledge on the true responses as well as a lack of quantitative evaluation methods. Here we compared modeled niche optima obtained from European‐scale SDMs of 1476 terrestrial vascular plant species with empirical ecological indicator values indicating the preferences of plant species for key environmental conditions. For each plant species we first fitted an ensemble SDM including three modeling techniques (GLM, GAM and BRT) and extracted niche optima for climate, soil, land use and nitrogen deposition variables with a large explanatory power for the occurrence of that species. We then compared these SDM‐derived niche optima with the ecological indicator values by means of bivariate correlation analysis. We found weak to moderate correlations in the expected direction between the SDM‐derived niche optima and ecological indicator values. The strongest correlation occurred between the modeled optima for growing degree days and the ecological indicator values for temperature. Correlations were weaker for SDM‐derived niche optima with a more distal relationship to ecological indicator values (notably precipitation and soil moisture). Further, correlations were consistently highest for BRT, followed by GLM and GAM. Our method gives insight into the ecological realism of modeled niche optima and projected core habitats and can be used to improve SDMs by making a more informed selection of environmental variables and modeling techniques. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
32. Climate and land use change impacts on Mediterranean high-mountain vegetation in the Apennines since the 1950s
- Author
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Frate, Ludovico, primary, Carranza, Maria L., additional, Evangelista, Alberto, additional, Stinca, Adriano, additional, Schaminée, Joop H. J., additional, and Stanisci, Angela, additional
- Published
- 2018
- Full Text
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33. Aufzeichnungen zur Vegetation der schwedischen Inseln Öland, Gotland und Stora Karlsö
- Author
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Westhoff, Victor, Schaminée, Joop H. J., and Sykora, Karle V.
- Subjects
ddc:580 - Abstract
Einige Pflanzengesellschaften der schwedischen Ostsee-Inseln Gotland, Öland und Stora Karlsö werden besprochen und mit Tabellen erläutert. Sie beziehen sich auf "Änge" (Komplexe von Laubwald und Wiese), Nadelwälder auf Kalkboden bzw. auf Sand, Saumgesellschaften, Alvar (Helianthemo-Globularion und Alysso-Sedion), feuchte Wiesen und Weiden (Molinion und Lolio-Potentillion), Sümpfe und Gewässer (Caricion davallianae und Littorellion), Salzwiesen (Armerion maritimae), Stranddünen (Ammophiletalia und Festuco-Sedetalia), feuchte Dünentäler und Schwalben-Guano unter Felsrändern. Some plant communities of the Baltic Sea islands of Gotland, Oland and Stora Karlso are investigated and discussed. They concern Ange (mixed stands of deciduous woodland, fringes and meadows, representing an ancient agrarian practice), pine woodlands on limestone as well as on sand, woodland fringes, alvar (open, dry to damp limestone grasslands), damp meadows and pastures, swamps and pools, salt marshes, sea dunes, as well as a nitrophilous Asperugo community on swallow guano.
- Published
- 2015
34. Between land and sea - a classification of saline and brackish grasslands of the Baltic Sea coast.
- Author
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Pätsch, Ricarda, Schaminée, Joop H. J., Janssen, John A. M., Hennekens, Stephan M., Bruchmann, Ines, Jutila, Heli, Meisert, Anke, and Bergmeier, Erwin
- Abstract
Aims: Baltic Sea coastal grasslands are influenced by saline or brackish sea water, a narrow tidal range and nonintensive land use. Since their designation as Natura 2000 habitat types under the EU Habitats Directive, they have become an important conservation issue in Europe. Little supra-regional research has been conducted to date on their floristic and ecological diversity, syntaxonomy and geographic variation. We surveyed the geographical distribution and syntaxonomical variation of saline and brackish grasslands to highlight large-scale gradients in species composition, as well as underlying climatic and other abiotic factors. We discuss the resulting vegetation types in the context of northern Europe and review implications for conservation. Study area: Baltic Sea coast. Methods: We compiled a comprehensive plot-based vegetation dataset for the Baltic Sea coast and subsequently selected relevés by species composition and plot size. We classified 3,732 relevés, using modified TWINSPAN, identified differential species and syntaxa, and performed a DCA with post-hoc fitted intrinsic and climatic variables. We tested main differences in relevant factors for significance. Results: The classification resulted in 33 vegetation types of differing distribution range and area. Most common were the classes Juncetea maritimi and Molinio-Arrhenatheretea, with the classes Phragmito-Magnocaricetea, Cakiletea maritimae, Saginetea maritimae, Scheuchzerio palustris-Caricetea fuscae and Koelerio-Corynephoretea canescentis also present. Baltic Sea coastal grasslands vary in soil salinity and moisture and, to a lesser extent, in nutrient availability and base content. Conclusions: Variation in the plant communities reflects regional phytogeographical patterns. Communities most similar to north-west European coastal grassland types are characterized by euhaline to α-mesohaline site conditions. Designations of the Natura 2000 habitat types H1330 and H1630 require revision. Many Baltic Sea coastal grassland plant communities include species threatened at the national level. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
35. Biodiversiteit werkt
- Author
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Schaminée, Joop H J, Dekker, J.N.M., van Dijk, J., Dorland, Edu, van het Groenewoud-Groot, M, van Tooren, B.F., Schaminée, Joop H J, Dekker, J.N.M., van Dijk, J., Dorland, Edu, van het Groenewoud-Groot, M, and van Tooren, B.F.
- Published
- 2016
36. Biodiversiteit werkt
- Author
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Environmental Sciences, Energy System Analysis, Schaminée, Joop H J, Dekker, J.N.M., van Dijk, J., Dorland, Edu, van het Groenewoud-Groot, M, van Tooren, B.F., Environmental Sciences, Energy System Analysis, Schaminée, Joop H J, Dekker, J.N.M., van Dijk, J., Dorland, Edu, van het Groenewoud-Groot, M, and van Tooren, B.F.
- Published
- 2016
37. Rote Liste der Pflanzengesellschaften des Naturraumes Wattenmeer unter Berücksichtigung der ungefährdeten Vegetationseinheiten
- Author
-
Westhoff, Victor, Hobohm, Carsten, Schaminée, Joop H. J., Westhoff, Victor, Hobohm, Carsten, and Schaminée, Joop H. J.
- Abstract
Für die Pflanzengesellschaften des Wattenmeer-Bereiches mit den Westfriesischen Inseln (Niederlande), den Ost- und Nordfriesischen Inseln (Deutschland), den Dänischen Inseln und der Festlandsküste wird eine Wertschätzung vorgelegt. Sie beinhaltet eine Rote Liste der gefährdeten Pflanzengesellschaften dieses Bereiches und stellt eine Grundlage für den praktischen Naturschutz dar. Es werden 119 Pflanzengemeinschaften aufgeführt; den meisten von ihnen kommt der Rang einer Assoziation zu, den übrigen der einer ranglosen Gesellschaft. Sie werden in erster Linie entsprechend der Serie, der sie angehören, zugeordnet: Zur Xeroserie, Haloserie, Hygroserie, Hydroserie und entsprechend auch zu den Ruderalgesellschaften ("Anthroposerie"). In zweiter Linie wird entsprechend der soziologischen Progression (als Maß für Stabilität und Strukturvielfalt) gegliedert. Die Bewertung basiert auf sechs Kriterien: I. der überregionalen Verbreitung, II. der regionalen Verbreitung, III. der Ausdehnung (lokal), IV. der derzeitigen Bestandesentwicklung, V. Aspekten der Dynamik, VI. der Anzahl seltener Taxa pro Gesellschaft. Eine integrale Gewichtung dieser Einzelwerte führt zur Gesamtwertung: 1. hochgradig schutzwürdig und schutzbedürftig, 2. schutzwürdig bzw. schutzbedürftig, 3. nicht schutzbedürftig, für den Wattbereich aber nicht untypisch, 4. nicht schutzbedürftig und untypisch. Gesellschaften der Kategorien 1 und 2 stellen die eigentliche Rote Liste dar. Mehr als die Hälfte der Gesellschaften mit der Gesamtwertung 1 gehören zur Hygroserie (feuchte und nasse Dünentäler). Dieser Typ von Biotopen ist daher insgesamt der gefährdetste von allen., The study aims at an evaluation of the plant communities of the Wadden Sea domain, including the West Frisian islands (the Netherlands), the East and North Frisian islands (Germany), the Danish islands and the mainland coast. The evaluation concerns nature conservation and results in a Red Data List including plant communities which are most in danger of disappearing. The list includes 119 plant communities; the most of them are ranked as associations, the others as communities without syntaxonomical rank. They are first ordered according to the seres to which they belong: xerosere, halosere, hygrosere, hydrosere, with an appendix for ruderal communities ("anthropo-sere"). Within each sere they are ordered by sociological progression (degree of stability and structural complexity). The evaluation is based on six criteria: I. general chorology, II. rate of occurrence within the Wadden domain, III. size of the phytocenosis, IV. increase versus decrease of area, V. dynamic character, VI. number of rare species per community. The integrated weighting of these parameters leads to the next general evaluation: 1. highly vulnerable and valuable, 2. vulnerable or valuable, 3. not directly threatened, but characteristic for the Wadden domain, 4. not threatened and not characteristic. The plant communities of the joined categories 1 and 2 constitute the Red Data list. More than half of the communities of category 1 belong to the hygrosere (moist to wet dune slacks). This type of biotope is the most threatened of all.
- Published
- 2016
38. European Vegetation Archive (EVA): a new integrated source of European vegetation-plot data
- Author
-
Chytrý, Milan, Hennekens, Stephan M., Jiménez-Alfaro, Borja, Knollová, Ilona, Dengler, Jürgen, Schaminée, Joop H. J., Stančić, Zvjezdana, Wohlgemuth, Thomas, Mucina, Ladislav, Price, Jodi N., and Kalwij, Jesse M.
- Subjects
database ,vegetation - Abstract
Background: European Vegetation Archive (EVA) has been developed by the IAVS Working Group European Vegetation Survey as a centralized database of European vegetation plots. Current status: EVA stores copies of national or regional vegetation-plot databases on a single software platform and links them via a reference database of plant taxa. Data storing in EVA does not affect the ongoing independent development of the source databases. EVA Data Property and Governance Rules (www.euroveg.org/eva-database) approved in 2012 guarantee that data property rights of the original contributors are respected. A prototype of the database management software Turboveg 3 was developed for joint management of multiple databases which use different species lists. This software also includes procedures for handling data requests, selections and provisions according to the approved Rules. A specific challenge for EVA is combining multiple species lists based on different taxonomies used in national and regional databases. This is managed using the SynBioSys Taxon Database, which was initially established for the purposes of the SynBioSys Europe project and is now further developed and extended within the framework of EVA. It is a system of taxon names and concepts used in the individual databases and their matches to a unified list of European flora. By May 2014, 38 databases from all European regions, including the largest ones, agreed to join EVA, and 31 of them already contributed vegetation-plot data, in total 553 228 vegetation plots from 37 countries, 87% of them with geographical coordinates. Outlook: EVA provides a basis for large-scale analyses of European vegetation diversity for both fundamental research in vegetation science, biodiversity science and macroecology, and applications for nature conservation including revisions of habitat classification systems, vegetation monitoring and providing indicators for ecosystem assessment.
- Published
- 2014
39. Die mitteleuropäischen Datenbanken im Global Index of Vegetation-Plot Databases (GIVD)
- Author
-
Jansen, Florian, Dengler, Jürgen, Glöckler, Falko, Chytrý, Milan, Ewald, Jörg, Oldeland, Jens, and Schaminée, Joop H. J.
- Subjects
ddc:580 - Abstract
Der Global Index of Vegetation-Plot Databases (GIVD) ist eine Metadatenbank von Vegetations - datenbanken weltweit, die im Jahr 2010 von einem internationalen Leitungsgremium ins Leben gerufen wurde und auf einem Server in Greifswald beheimatet ist. Ziel von GIVD ist es, einen besseren Überblick über die zunehmende Zahl von Vegetationsdatenbanken zu geben und ihren Inhalt für übergreifende vegetationsökologische Analysen zu erschließen. Im vorliegenden Beitrag analysieren wir, welche Daten aus Mitteleuropa (incl. Benelux-Länder) in GIVD derzeit registriert sind. Am 20. März 2011 stammten 1,35 Millionen der insgesamt registrierten 2,45 Millionen Vegetationsaufnahmen aus den 12 betrachteten Ländern. Mit über 600.000 digital verfügbaren Vegetationsaufnahmen entsprechend einer Dichte von 18 km–2 sind die Niederlande weltweit führend. The Global Index of Vegetation-Plot Databases (GIVD) is a metadatabase of vegetation databases worldwide that was initiated by an international Steering Committee in 2010 and that is hosted on a server in Greifswald. GIVD aims at providing a better overview on the growing number of vegetationplot databases and increasing their accessibility for overarching analyses. In this article, we analyse which data from central Europe (including the Benelux countries) are available in GIVD. On 20 March 2011, 1.35 million of the total 2.45 million registered relevés originated from one of the covered twelve countries. With more than 600,000 digitally available relevés, corresponding to a density of 18 km–2, the Netherlands are globally leading in this respect.
- Published
- 2011
40. Specialists leave fewer descendants within a region than generalists
- Author
-
Ozinga, Wim A., primary, Colles, Audrey, additional, Bartish, Igor V., additional, Hennion, Françoise, additional, Hennekens, Stephan M., additional, Pavoine, Sandrine, additional, Poschlod, Peter, additional, Hermant, Marie, additional, Schaminée, Joop H. J., additional, and Prinzing, Andreas, additional
- Published
- 2012
- Full Text
- View/download PDF
41. Dispersal failure contributes to plant losses in NW Europe
- Author
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Ozinga, Wim A., primary, Römermann, Christine, additional, Bekker, Renée M., additional, Prinzing, Andreas, additional, Tamis, Wil L. M., additional, Schaminée, Joop H. J., additional, Hennekens, Stephan M., additional, Thompson, Ken, additional, Poschlod, Peter, additional, Kleyer, Michael, additional, Bakker, Jan P., additional, and Van Groenendael, Jan M., additional
- Published
- 2008
- Full Text
- View/download PDF
42. Less lineages – more trait variation: phylogenetically clustered plant communities are functionally more diverse
- Author
-
Prinzing, Andreas, primary, Reiffers, Reineke, additional, Braakhekke, Wim G., additional, Hennekens, Stephan M., additional, Tackenberg, Oliver, additional, Ozinga, Wim A., additional, Schaminée, Joop H. J., additional, and Van Groenendael, Jan M., additional
- Published
- 2008
- Full Text
- View/download PDF
43. Local dominance of exotic plants declines with residence time: a role for plant-soil feedback?
- Author
-
Speek, Tanja A. A., Schaminée, Joop H. J., Stam, Jeltje M., Lotz, Lambertus A. P., Ozinga, Wim A., and van der Putten, Wim H.
- Published
- 2015
- Full Text
- View/download PDF
44. European vegetation survey: The context of the case studies
- Author
-
Rodwell, John S., primary, Mucina, Ladislav, additional, Pignatti, Sandro, additional, Schaminée, Joop H. J., additional, and Chytrý, Milan, additional
- Published
- 1997
- Full Text
- View/download PDF
45. The vegetation of 'snowbeds' in the Monts du Forez (Massif Central, France)
- Author
-
Schaminée, Joop H. J., primary, Coolen, Caroline, additional, and Siebum, Marian B., additional
- Published
- 1992
- Full Text
- View/download PDF
46. Phylogenetically Poor Plant Communities Receive More Mien Species, Which More Easily Coexist with Natives.
- Author
-
Gerhold, Pile, Pärtel, Meelis, Tackenberg, Oliver, Hennekens, Stephan M., Bartish, Igor, Schaminée, Joop H. J., Fergus, Alexander J. F., Ozinga, Wim A., and Prinzing, Andreas
- Subjects
INTRODUCED plants ,PLANT communities ,PLANT phylogeny ,BIODIVERSITY ,DATABASES - Abstract
Alien species can be a major threat to ecological communities, but we do not know why some community types allow the entry of many more alien species than do others. Here, for the first time, we suggest that evolutionary diversity inherent to the constituent species of a community may determine its present receptiveness to alien species. Using recent large databases from observational studies, we find robust evidence that assemblage of plant community types from few phylogenetic lineages (in plots without aliens) corresponds to higher receptiveness to aliens. Establishment of aliens in phylogenetically poor communities corresponds to increased phylogenetic dispersion of recipient Communities and to coexistence with rather than replacement of natives. This coexistence between natives and distantly related aliens in recipient communities of low phylogenetic dispersion may reflect patterns of trait assembly. In communities without aliens, low phylogenetic dispersion Corresponds to increased dispersion of most traits, and establishment of aliens corresponds to increased trait concentration. We conclude that if quantified across the tree of life, high biodiversity correlates with decreasing receptiveness to aliens. Low phylogenetic biodiversity, in contrast, facilitates coexistence between natives and aliens even if they share similar trait states. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
47. Dispersal failure contributes to plant losses in NW Europe.
- Author
-
Ozinga, Wim A., Römermann, Christine, Bekker, Renée M., Prinzing, Andreas, Tamis, Wil L. M., Schaminée, Joop H. J., Hennekens, Stephan M., Thompson, Ken, Poschlod, Peter, Kleyer, Michael, Bakker, Jan P., and van Groenendael, Jan M.
- Subjects
PLANT dispersal ,PLANT colonization ,LAND capability for wildlife ,HABITAT conservation ,PLANT diversity conservation ,BIODIVERSITY ,EUTROPHICATION ,ECOLOGICAL niche ,LAND use & the environment - Abstract
The ongoing decline of many plant species in Northwest Europe indicates that traditional conservation measures to improve the habitat quality, although useful, are not enough to halt diversity losses. Using recent databases, we show for the first time that differences between species in adaptations to various dispersal vectors, in combination with changes in the availability of these vectors, contribute significantly to explaining losses in plant diversity in Northwest Europe in the 20th century. Species with water- or fur-assisted dispersal are over-represented among declining species, while others (wind- or bird-assisted dispersal) are under-represented. Our analysis indicates that the ‘colonization deficit’ due to a degraded dispersal infrastructure is no less important in explaining plant diversity losses than the more commonly accepted effect of eutrophication and associated niche-based processes. Our findings call for measures that aim to restore the dispersal infrastructure across entire regions and that go beyond current conservation practices. [ABSTRACT FROM AUTHOR]
- Published
- 2009
- Full Text
- View/download PDF
48. Use of the ecological information system SynBioSys for the analysis of large datasets.
- Author
-
Schaminée, Joop H. J., Hennekens, Stephan M., and Ozinga, Wim A.
- Subjects
- *
VEGETATION surveys , *EUTROPHICATION , *INFORMATION resources , *BIOTIC communities , *DATA mining , *DATABASES , *COMPUTER network resources , *VEGETATION management - Abstract
The rapid developments in computer techniques and the availability of large datasets open new perspectives for vegetation analysis aiming at better understanding of the ecology and functioning of ecosystems and underlying mechanisms. Information systems prove to be helpful tools in this new field. Such information systems may integrate different biological levels, viz. species, community and landscape. They incorporate a GIS platform for the visualization of the various layers of information, enabling the analysis of patterns and processes which relate the individual levels. An example of a newly developed information system is SynBioSys Europe, an initiative of the European Vegetation Survey (EVS). For the individual levels of the system, specific sources are available, notably national and regional Turboveg databases for the community level and data from the recently published European Map of Natural Vegetation for the landscape level. The structure of the system and its underlying databases allow user-defined queries. With regard to its application, such information systems may play a vital role in European nature planning, such as the implementation the EU-program Natura 2000. To illustrate the scope and perspectives of the program, some examples from The Netherlands are presented. They are dealing with long-term changes in grassland ecosystems, including shifts in distribution, floristic composition, and ecological indicator values. [ABSTRACT FROM AUTHOR]
- Published
- 2007
49. Local above-ground persistence of vascular plants: Life-history trade-offs and environmental constraints.
- Author
-
Ozinga, Wim A., Hennekens, Stephan M., Schaminée, Joop H. J., Smits, Nina A. C., Bekker, Renée M., Römermann, Christine, Klimeš, Leoš, Bakker, Jan P., and van Groenendael, Jan M.
- Subjects
ECOLOGICAL research ,BOTANY ,EXTINCTION of plants ,VEGETATION management ,BIOLOGY ,SOIL seed banks ,PLANT dispersal ,AGRICULTURAL productivity - Abstract
Questions: 1. Which plant traits and habitat characteristics best explain local above-ground persistence of vascular plant species and 2. Is there a trade-off between local above-ground persistence and the ability for seed dispersal and below-ground persistence in the soil seed bank? Locations: 845 long-term permanent plots in terrestrial habitats across the Netherlands. Methods: We analysed the local above-ground persistence of vascular plants in permanent plots (monitored once a year for ca. 16 year) with respect to functional traits and habitat preferences using survival statistics (Kaplan-Meier analysis and Cox' regression). These methods account for censored data and are rarely used in vegetation ecology. Results: Local above-ground persistence is determined by both functional traits (especially the ability to form long-lived clonal connections) and habitat preferences (especially nutrient requirements). Above-ground persistence is negatively related to the ability for dispersal by wind and to the ability to accumulate a long-term persistent soil seed bank (‘dispersal through time’) and is positively related to the ability for dispersal by water. Conclusions: Most species have a half-life expectation over 15 years, which may contribute to time lags after changes in habitat quality or -configuration (‘extinction debt’). There is evidence for a trade-off relationship between local above-ground persistence and below-ground seed persistence, while the relationship with dispersal in space is vector specific. The rate of species turnover increases with productivity. [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
50. EUNIS Habitat Classification : expert system, characteristic species combinations and distribution maps of European habitats
- Author
-
Chytrý, Milan, Tichý, Lubomír, Hennekens, Stephan M., Knollová, Ilona, Janssen, John A. M., Rodwell, John S., Peterka, Tomáš, Marcenò, Corrado, Landucci, Flavia, Danihelka, Jiří, Hájek, Michal, Dengler, Jürgen, Novák, Pavel, Zukal, Dominik, Jiménez‐Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Bölöni, János, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos, Juan Antonio, Čarni, Andraž, Casella, Laura, Ćuk, Mirjana, Ćušterevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dítě, Daniel, Dziuba, Tetiana, Ewald, Jörg, Gavilán, Rosario G., Gégout, Jean‐Claude, Giusso del Galdo, Gian Pietro, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jašková, Anni, Jiroušek, Martin, Kącki, Zygmunt, Kalníková, Veronika, Kavgacı, Ali, Khanina, Larisa, Yu. Korolyuk, Andrey, Kozhevnikova, Mariya, Kuzemko, Anna, Küzmič, Filip, Kuznetsov, Oleg L., Laiviņš, Māris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososová, Zdeňka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinšek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Pérez‐Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Rodríguez Rojo, Maria Pilar, Rūsiņa, Solvita, Schrautzer, Joachim, Šibík, Jozef, Šilc, Urban, Škvorc, Željko, Smagin, Viktor A., Stančić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachovič, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Palitzsch Lund, Mette, Spyropoulou, Rania, Tryfon, Eleni, and Schaminée, Joop H. J.
- Subjects
Coastal habitat ,Distribution map ,15. Life on land ,Dune vegetation ,Grassland ,Habitat classification ,Vegetation plot ,Shrubland ,Diagnostic species ,Man‐made habitat ,Vegetation database ,Wetland ,14. Life underwater ,Forest ,577: Ökologie ,European Nature Information System (EUNIS) ,Expert system ,European Vegetation Archive (EVA) - Abstract
Aim: The EUNIS Habitat Classification is a widely used reference framework for European habitat types (habitats), but it lacks formal definitions of individual habitats that would enable their unequivocal identification. Our goal was to develop a tool for assigning vegetation-plot records to the habitats of the EUNIS system, use it to classify a European vegetation-plot database, and compile statistically-derived characteristic species combinations and distribution maps for these habitats. Location: Europe. Methods: We developed the classification expert system EUNIS-ESy, which contains definitions of individual EUNIS habitats based on their species composition and geographic location. Each habitat was formally defined as a formula in a computer language combining algebraic and set-theoretic concepts with formal logical operators. We applied this expert system to classify 1,261,373 vegetation plots from the European Vegetation Archive (EVA) and other databases. Then we determined diagnostic, constant and dominant species for each habitat by calculating species-to-habitat fidelity and constancy (occurrence frequency) in the classified data set. Finally, we mapped the plot locations for each habitat. Results: Formal definitions were developed for 199 habitats at Level 3 of the EUNIS hierarchy, including 25 coastal, 18 wetland, 55 grassland, 43 shrubland, 46 forest and 12 man-made habitats. The expert system classified 1,125,121 vegetation plots to these habitat groups and 73,188 to other habitats, while 63,064 plots remained unclassified or were classified to more than one habitat. Data on each habitat were summarized in factsheets containing habitat description, distribution map, corresponding syntaxa and characteristic species combination. Conclusions: EUNIS habitats were characterized for the first time in terms of their species composition and distribution, based on a classification of a European database of vegetation plots using the newly developed electronic expert system EUNISESy. The data provided and the expert system have considerable potential for future use in European nature conservation planning, monitoring and assessment.
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