TY  - JOUR
AU  - Chytry, Milan
AU  - Tichy, Lubomir
AU  - Hennekens, Stephan M.
AU  - Knollova, Ilona
AU  - Janssen, John
AU  - Rodwell, John S.
AU  - Peterka, Tomas
AU  - Marceno, Corrado
AU  - Landucci, Flavia
AU  - Danihelka, Jiri
AU  - Hajek, Michal
AU  - Dengler, Juergen
AU  - Novak, Pavel
AU  - Zukal, Dominik
AU  - Jimenez-Alfaro, Borja
AU  - Mucina, Ladislav
AU  - Abdulhak, Sylvain
AU  - Aćić, Svetlana
AU  - Agrillo, Emiliano
AU  - Attorre, Fabio
AU  - Bergmeier, Erwin
AU  - Biurrun, Idoia
AU  - Boch, Steffen
AU  - Boloni, Janos
AU  - Bonari, Gianmaria
AU  - Braslavskaya, Tatiana
AU  - Bruelheide, Helge
AU  - Campos, Juan Antonio
AU  - Carni, Andraz
AU  - Casella, Laura
AU  - Cuk, Mirjana
AU  - Custerevska, Renata
AU  - De Bie, Els
AU  - Delbosc, Pauline
AU  - Demina, Olga
AU  - Didukh, Yakiv
AU  - Dite, Daniel
AU  - Dziuba, Tetiana
AU  - Ewald, Joerg
AU  - Gavilan, Rosario G.
AU  - Gegout, Jean-Claude
AU  - del Galdo, Gian Pietro Giusso
AU  - Golub, Valentin
AU  - Goncharova, Nadezhda
AU  - Goral, Friedemann
AU  - Graf, Ulrich
AU  - Indreica, Adrian
AU  - Isermann, Maike
AU  - Jandt, Ute
AU  - Jansen, Florian
AU  - Jansen, Jan
AU  - Jaskova, Anni
AU  - Jirousek, Martin
AU  - Kacki, Zygmunt
AU  - Kalnikova, Veronika
AU  - Kavgaci, Ali
AU  - Khanina, Larisa
AU  - Korolyuk, Andrey Yu
AU  - Kozhevnikova, Mariya
AU  - Kuzemko, Anna
AU  - Kuzmić, Filip
AU  - Kuznetsov, Oleg L.
AU  - Laivins, Maris
AU  - Lavrinenko, Igor
AU  - Lavrinenko, Olga
AU  - Lebedeva, Maria
AU  - Lososova, Zdenka
AU  - Lysenko, Tatiana
AU  - Maciejewski, Lise
AU  - Mardari, Constantin
AU  - Marinsek, Aleksander
AU  - Napreenko, Maxim G.
AU  - Onyshchenko, Viktor
AU  - Perez-Haase, Aaron
AU  - Pielech, Remigiusz
AU  - Prokhorov, Vadim
AU  - Rasomavicius, Valerijus
AU  - Rodriguez Rojo, Maria Pilar
AU  - Rusina, Solvita
AU  - Schrautzer, Joachim
AU  - Sibik, Jozef
AU  - Silc, Urban
AU  - Skvorc, Željko
AU  - Smagin, Viktor A.
AU  - Stancić, Zvjezdana
AU  - Stanisci, Angela
AU  - Tikhonova, Elena
AU  - Tonteri, Tiina
AU  - Uogintas, Domas
AU  - Valachović, Milan
AU  - Vassilev, Kiril
AU  - Vynokurov, Denys
AU  - Willner, Wolfgang
AU  - Yamalov, Sergey
AU  - Evans, Douglas
AU  - Lund, Mette Palitzsch
AU  - Spyropoulou, Rania
AU  - Tryfon, Eleni
AU  - Schaminee, Joop H.J.
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5255
AB  - 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 EUNIS-ESy. The data provided and the expert system have considerable potential for future use in European nature conservation planning, monitoring and assessment.
PB  - Wiley, Hoboken
T2  - Applied Vegetation Science
T1  - EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats
EP  - 675
IS  - 4
SP  - 648
VL  - 23
DO  - 10.1111/avsc.12519
ER  - 

@article{
author = "Chytry, Milan and Tichy, Lubomir and Hennekens, Stephan M. and Knollova, Ilona and Janssen, John and Rodwell, John S. and Peterka, Tomas and Marceno, Corrado and Landucci, Flavia and Danihelka, Jiri and Hajek, Michal and Dengler, Juergen and Novak, Pavel and Zukal, Dominik and Jimenez-Alfaro, Borja and Mucina, Ladislav and Abdulhak, Sylvain and Aćić, Svetlana and Agrillo, Emiliano and Attorre, Fabio and Bergmeier, Erwin and Biurrun, Idoia and Boch, Steffen and Boloni, Janos and Bonari, Gianmaria and Braslavskaya, Tatiana and Bruelheide, Helge and Campos, Juan Antonio and Carni, Andraz and Casella, Laura and Cuk, Mirjana and Custerevska, Renata and De Bie, Els and Delbosc, Pauline and Demina, Olga and Didukh, Yakiv and Dite, Daniel and Dziuba, Tetiana and Ewald, Joerg and Gavilan, Rosario G. and Gegout, Jean-Claude and del Galdo, Gian Pietro Giusso and Golub, Valentin and Goncharova, Nadezhda and Goral, Friedemann and Graf, Ulrich and Indreica, Adrian and Isermann, Maike and Jandt, Ute and Jansen, Florian and Jansen, Jan and Jaskova, Anni and Jirousek, Martin and Kacki, Zygmunt and Kalnikova, Veronika and Kavgaci, Ali and Khanina, Larisa and Korolyuk, Andrey Yu and Kozhevnikova, Mariya and Kuzemko, Anna and Kuzmić, Filip and Kuznetsov, Oleg L. and Laivins, Maris and Lavrinenko, Igor and Lavrinenko, Olga and Lebedeva, Maria and Lososova, Zdenka and Lysenko, Tatiana and Maciejewski, Lise and Mardari, Constantin and Marinsek, Aleksander and Napreenko, Maxim G. and Onyshchenko, Viktor and Perez-Haase, Aaron and Pielech, Remigiusz and Prokhorov, Vadim and Rasomavicius, Valerijus and Rodriguez Rojo, Maria Pilar and Rusina, Solvita and Schrautzer, Joachim and Sibik, Jozef and Silc, Urban and Skvorc, Željko and Smagin, Viktor A. and Stancić, Zvjezdana and Stanisci, Angela and Tikhonova, Elena and Tonteri, Tiina and Uogintas, Domas and Valachović, Milan and Vassilev, Kiril and Vynokurov, Denys and Willner, Wolfgang and Yamalov, Sergey and Evans, Douglas and Lund, Mette Palitzsch and Spyropoulou, Rania and Tryfon, Eleni and Schaminee, Joop H.J.",
year = "2020",
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 EUNIS-ESy. The data provided and the expert system have considerable potential for future use in European nature conservation planning, monitoring and assessment.",
publisher = "Wiley, Hoboken",
journal = "Applied Vegetation Science",
title = "EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats",
pages = "675-648",
number = "4",
volume = "23",
doi = "10.1111/avsc.12519"
}

Chytry, M., Tichy, L., Hennekens, S. M., Knollova, I., Janssen, J., Rodwell, J. S., Peterka, T., Marceno, C., Landucci, F., Danihelka, J., Hajek, M., Dengler, J., Novak, P., Zukal, D., Jimenez-Alfaro, B., Mucina, L., Abdulhak, S., Aćić, S., Agrillo, E., Attorre, F., Bergmeier, E., Biurrun, I., Boch, S., Boloni, J., Bonari, G., Braslavskaya, T., Bruelheide, H., Campos, J. A., Carni, A., Casella, L., Cuk, M., Custerevska, R., De Bie, E., Delbosc, P., Demina, O., Didukh, Y., Dite, D., Dziuba, T., Ewald, J., Gavilan, R. G., Gegout, J., del Galdo, G. P. G., Golub, V., Goncharova, N., Goral, F., Graf, U., Indreica, A., Isermann, M., Jandt, U., Jansen, F., Jansen, J., Jaskova, A., Jirousek, M., Kacki, Z., Kalnikova, V., Kavgaci, A., Khanina, L., Korolyuk, A. Y., Kozhevnikova, M., Kuzemko, A., Kuzmić, F., Kuznetsov, O. L., Laivins, M., Lavrinenko, I., Lavrinenko, O., Lebedeva, M., Lososova, Z., Lysenko, T., Maciejewski, L., Mardari, C., Marinsek, A., Napreenko, M. G., Onyshchenko, V., Perez-Haase, A., Pielech, R., Prokhorov, V., Rasomavicius, V., Rodriguez Rojo, M. P., Rusina, S., Schrautzer, J., Sibik, J., Silc, U., Skvorc, Ž., Smagin, V. A., Stancić, Z., Stanisci, A., Tikhonova, E., Tonteri, T., Uogintas, D., Valachović, M., Vassilev, K., Vynokurov, D., Willner, W., Yamalov, S., Evans, D., Lund, M. P., Spyropoulou, R., Tryfon, E.,& Schaminee, J. H.J.. (2020). EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats. in Applied Vegetation Science
Wiley, Hoboken., 23(4), 648-675.
https://doi.org/10.1111/avsc.12519

Chytry M, Tichy L, Hennekens SM, Knollova I, Janssen J, Rodwell JS, Peterka T, Marceno C, Landucci F, Danihelka J, Hajek M, Dengler J, Novak P, Zukal D, Jimenez-Alfaro B, Mucina L, Abdulhak S, Aćić S, Agrillo E, Attorre F, Bergmeier E, Biurrun I, Boch S, Boloni J, Bonari G, Braslavskaya T, Bruelheide H, Campos JA, Carni A, Casella L, Cuk M, Custerevska R, De Bie E, Delbosc P, Demina O, Didukh Y, Dite D, Dziuba T, Ewald J, Gavilan RG, Gegout J, del Galdo GPG, Golub V, Goncharova N, Goral F, Graf U, Indreica A, Isermann M, Jandt U, Jansen F, Jansen J, Jaskova A, Jirousek M, Kacki Z, Kalnikova V, Kavgaci A, Khanina L, Korolyuk AY, Kozhevnikova M, Kuzemko A, Kuzmić F, Kuznetsov OL, Laivins M, Lavrinenko I, Lavrinenko O, Lebedeva M, Lososova Z, Lysenko T, Maciejewski L, Mardari C, Marinsek A, Napreenko MG, Onyshchenko V, Perez-Haase A, Pielech R, Prokhorov V, Rasomavicius V, Rodriguez Rojo MP, Rusina S, Schrautzer J, Sibik J, Silc U, Skvorc Ž, Smagin VA, Stancić Z, Stanisci A, Tikhonova E, Tonteri T, Uogintas D, Valachović M, Vassilev K, Vynokurov D, Willner W, Yamalov S, Evans D, Lund MP, Spyropoulou R, Tryfon E, Schaminee JH. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats. in Applied Vegetation Science. 2020;23(4):648-675.
doi:10.1111/avsc.12519 .

Chytry, Milan, Tichy, Lubomir, Hennekens, Stephan M., Knollova, Ilona, Janssen, John, Rodwell, John S., Peterka, Tomas, Marceno, Corrado, Landucci, Flavia, Danihelka, Jiri, Hajek, Michal, Dengler, Juergen, Novak, Pavel, Zukal, Dominik, Jimenez-Alfaro, Borja, Mucina, Ladislav, Abdulhak, Sylvain, Aćić, Svetlana, Agrillo, Emiliano, Attorre, Fabio, Bergmeier, Erwin, Biurrun, Idoia, Boch, Steffen, Boloni, Janos, Bonari, Gianmaria, Braslavskaya, Tatiana, Bruelheide, Helge, Campos, Juan Antonio, Carni, Andraz, Casella, Laura, Cuk, Mirjana, Custerevska, Renata, De Bie, Els, Delbosc, Pauline, Demina, Olga, Didukh, Yakiv, Dite, Daniel, Dziuba, Tetiana, Ewald, Joerg, Gavilan, Rosario G., Gegout, Jean-Claude, del Galdo, Gian Pietro Giusso, Golub, Valentin, Goncharova, Nadezhda, Goral, Friedemann, Graf, Ulrich, Indreica, Adrian, Isermann, Maike, Jandt, Ute, Jansen, Florian, Jansen, Jan, Jaskova, Anni, Jirousek, Martin, Kacki, Zygmunt, Kalnikova, Veronika, Kavgaci, Ali, Khanina, Larisa, Korolyuk, Andrey Yu, Kozhevnikova, Mariya, Kuzemko, Anna, Kuzmić, Filip, Kuznetsov, Oleg L., Laivins, Maris, Lavrinenko, Igor, Lavrinenko, Olga, Lebedeva, Maria, Lososova, Zdenka, Lysenko, Tatiana, Maciejewski, Lise, Mardari, Constantin, Marinsek, Aleksander, Napreenko, Maxim G., Onyshchenko, Viktor, Perez-Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rasomavicius, Valerijus, Rodriguez Rojo, Maria Pilar, Rusina, Solvita, Schrautzer, Joachim, Sibik, Jozef, Silc, Urban, Skvorc, Željko, Smagin, Viktor A., Stancić, Zvjezdana, Stanisci, Angela, Tikhonova, Elena, Tonteri, Tiina, Uogintas, Domas, Valachović, Milan, Vassilev, Kiril, Vynokurov, Denys, Willner, Wolfgang, Yamalov, Sergey, Evans, Douglas, Lund, Mette Palitzsch, Spyropoulou, Rania, Tryfon, Eleni, Schaminee, Joop H.J., "EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats" in Applied Vegetation Science, 23, no. 4 (2020):648-675,
https://doi.org/10.1111/avsc.12519 . .

TY  - JOUR
AU  - Sporbert, Maria
AU  - Keil, Petr
AU  - Seidler, Gunnar
AU  - Bruelheide, Helge
AU  - Jandt, Ute
AU  - Aćić, Svetlana
AU  - Biurrun, Idoia
AU  - Antonio Campos, Juan
AU  - Carni, Andraz
AU  - Chytry, Milan
AU  - Custerevska, Renata
AU  - Dengler, Juergen
AU  - Golub, Valentin
AU  - Jansen, Florian
AU  - Kuzemko, Anna
AU  - Lenoir, Jonathan
AU  - Marceno, Corrado
AU  - Moeslund, Jesper Erenskjold
AU  - Perez-Haase, Aaron
AU  - Rusina, Solvita
AU  - Silc, Urban
AU  - Tsiripidris, Ioannis
AU  - Vandvik, Vigdis
AU  - Vasilev, Kiril
AU  - Virtanen, Risto
AU  - Welk, Erik
PY  - 2020
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5282
AB  - Aim A fundamental question in macroecology centres around understanding the relationship between species' local abundance and their distribution in geographical and climatic space (i.e. the multi-dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (a) the abundance-range size relationship, (b) the abundance-range centre relationship and (c) the abundance-suitability relationship. Location Europe. Taxon Vascular plants. Methods Distribution range maps were extracted from the Chorological Database Halle to derive information on the range and niche sizes of 517 European vascular plant species. To estimate local abundance, we assessed samples from 744,513 vegetation plots in the European Vegetation Archive, where local species' abundance is available as plant cover per plot. We then calculated the 'centrality', that is, the distance between the location of the abundance observation and each species' range centre in geographical and climatic space. The climatic suitability of plot locations was estimated using coarse-grain species distribution models (SDMs). The relationships between centrality or climatic suitability with abundance was tested using linear models and quantile regression. We summarized the overall trend across species' regression slopes from linear models and quantile regression using a meta-analytical approach. Results We did not detect any positive relationships between a species' mean local abundance and the size of its geographical range or climatic niche. Contrasting yet significant correlations were detected between abundance and centrality or climatic suitability among species. Main conclusions Our results do not provide unequivocal support for any of the relationships tested, demonstrating that determining properties of species' distributions at large grains and extents might be of limited use for predicting local abundance, including current SDM approaches. We conclude that environmental factors influencing individual performance and local abundance are likely to differ from those factors driving plant species' distribution at coarse resolution and broad geographical extents.
PB  - Wiley, Hoboken
T2  - Journal of Biogeography
T1  - Testing macroecological abundance patterns: The relationship between local abundance and range size, range position and climatic suitability among European vascular plants
EP  - 2222
IS  - 10
SP  - 2210
VL  - 47
DO  - 10.1111/jbi.13926
ER  - 

@article{
author = "Sporbert, Maria and Keil, Petr and Seidler, Gunnar and Bruelheide, Helge and Jandt, Ute and Aćić, Svetlana and Biurrun, Idoia and Antonio Campos, Juan and Carni, Andraz and Chytry, Milan and Custerevska, Renata and Dengler, Juergen and Golub, Valentin and Jansen, Florian and Kuzemko, Anna and Lenoir, Jonathan and Marceno, Corrado and Moeslund, Jesper Erenskjold and Perez-Haase, Aaron and Rusina, Solvita and Silc, Urban and Tsiripidris, Ioannis and Vandvik, Vigdis and Vasilev, Kiril and Virtanen, Risto and Welk, Erik",
year = "2020",
abstract = "Aim A fundamental question in macroecology centres around understanding the relationship between species' local abundance and their distribution in geographical and climatic space (i.e. the multi-dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (a) the abundance-range size relationship, (b) the abundance-range centre relationship and (c) the abundance-suitability relationship. Location Europe. Taxon Vascular plants. Methods Distribution range maps were extracted from the Chorological Database Halle to derive information on the range and niche sizes of 517 European vascular plant species. To estimate local abundance, we assessed samples from 744,513 vegetation plots in the European Vegetation Archive, where local species' abundance is available as plant cover per plot. We then calculated the 'centrality', that is, the distance between the location of the abundance observation and each species' range centre in geographical and climatic space. The climatic suitability of plot locations was estimated using coarse-grain species distribution models (SDMs). The relationships between centrality or climatic suitability with abundance was tested using linear models and quantile regression. We summarized the overall trend across species' regression slopes from linear models and quantile regression using a meta-analytical approach. Results We did not detect any positive relationships between a species' mean local abundance and the size of its geographical range or climatic niche. Contrasting yet significant correlations were detected between abundance and centrality or climatic suitability among species. Main conclusions Our results do not provide unequivocal support for any of the relationships tested, demonstrating that determining properties of species' distributions at large grains and extents might be of limited use for predicting local abundance, including current SDM approaches. We conclude that environmental factors influencing individual performance and local abundance are likely to differ from those factors driving plant species' distribution at coarse resolution and broad geographical extents.",
publisher = "Wiley, Hoboken",
journal = "Journal of Biogeography",
title = "Testing macroecological abundance patterns: The relationship between local abundance and range size, range position and climatic suitability among European vascular plants",
pages = "2222-2210",
number = "10",
volume = "47",
doi = "10.1111/jbi.13926"
}

Sporbert, M., Keil, P., Seidler, G., Bruelheide, H., Jandt, U., Aćić, S., Biurrun, I., Antonio Campos, J., Carni, A., Chytry, M., Custerevska, R., Dengler, J., Golub, V., Jansen, F., Kuzemko, A., Lenoir, J., Marceno, C., Moeslund, J. E., Perez-Haase, A., Rusina, S., Silc, U., Tsiripidris, I., Vandvik, V., Vasilev, K., Virtanen, R.,& Welk, E.. (2020). Testing macroecological abundance patterns: The relationship between local abundance and range size, range position and climatic suitability among European vascular plants. in Journal of Biogeography
Wiley, Hoboken., 47(10), 2210-2222.
https://doi.org/10.1111/jbi.13926

Sporbert M, Keil P, Seidler G, Bruelheide H, Jandt U, Aćić S, Biurrun I, Antonio Campos J, Carni A, Chytry M, Custerevska R, Dengler J, Golub V, Jansen F, Kuzemko A, Lenoir J, Marceno C, Moeslund JE, Perez-Haase A, Rusina S, Silc U, Tsiripidris I, Vandvik V, Vasilev K, Virtanen R, Welk E. Testing macroecological abundance patterns: The relationship between local abundance and range size, range position and climatic suitability among European vascular plants. in Journal of Biogeography. 2020;47(10):2210-2222.
doi:10.1111/jbi.13926 .

Sporbert, Maria, Keil, Petr, Seidler, Gunnar, Bruelheide, Helge, Jandt, Ute, Aćić, Svetlana, Biurrun, Idoia, Antonio Campos, Juan, Carni, Andraz, Chytry, Milan, Custerevska, Renata, Dengler, Juergen, Golub, Valentin, Jansen, Florian, Kuzemko, Anna, Lenoir, Jonathan, Marceno, Corrado, Moeslund, Jesper Erenskjold, Perez-Haase, Aaron, Rusina, Solvita, Silc, Urban, Tsiripidris, Ioannis, Vandvik, Vigdis, Vasilev, Kiril, Virtanen, Risto, Welk, Erik, "Testing macroecological abundance patterns: The relationship between local abundance and range size, range position and climatic suitability among European vascular plants" in Journal of Biogeography, 47, no. 10 (2020):2210-2222,
https://doi.org/10.1111/jbi.13926 . .

TY  - JOUR
AU  - Chytry, Milan
AU  - Hennekens, Stephan M.
AU  - Jimenez-Alfaro, Borja
AU  - Knollova, Ilona
AU  - Dengler, Juergen
AU  - Jansen, Florian
AU  - Landucci, Flavia
AU  - Schaminee, Joop H.J.
AU  - Aćić, Svetlana
AU  - Agrillo, Emiliano
AU  - Ambarli, Didem
AU  - Angelini, Pierangela
AU  - Apostolova, Iva
AU  - Attorre, Fabio
AU  - Berg, Christian
AU  - Bergmeier, Erwin
AU  - Biurrun, Idoia
AU  - Botta-Dukat, Zoltan
AU  - Brisse, Henry
AU  - Antonio Campos, Juan
AU  - Carlon, Luis
AU  - Carni, Andraz
AU  - Casella, Laura
AU  - Csiky, Janos
AU  - Custerevska, Renata
AU  - Dajić-Stevanović, Zora
AU  - Danihelka, Jiri
AU  - De Bie, Els
AU  - de Ruffray, Patrice
AU  - De Sanctis, Michele
AU  - Dickore, W.Bernhard
AU  - Dimopoulos, Panayotis
AU  - Dubyna, Dmytro
AU  - Dziuba, Tetiana
AU  - Ejrnaes, Rasmus
AU  - Ermakov, Nikolai
AU  - Ewald, Joerg
AU  - Fanelli, Giuliano
AU  - Fernandez-Gonzalez, Federico
AU  - FitzPatrick, Una
AU  - Font, Xavier
AU  - Garcia-Mijangos, Itziar
AU  - Gavilan, Rosario G.
AU  - Golub, Valentin
AU  - Guarino, Riccardo
AU  - Haveman, Rense
AU  - Indreica, Adrian
AU  - Gursoy, Deniz Isik
AU  - Jandt, Ute
AU  - Janssen, John
AU  - Jirousek, Martin
AU  - Kacki, Zygmunt
AU  - Kavgaci, Ali
AU  - Kleikamp, Martin
AU  - Kolomiychuk, Vitaliy
AU  - Krstivojević-Cuk, Mirjana
AU  - Krstonosić, Daniel
AU  - Kuzemko, Anna
AU  - Lenoir, Jonathan
AU  - Lysenko, Tatiana
AU  - Marceno, Corrado
AU  - Martynenko, Vassiliy
AU  - Michalcova, Dana
AU  - Moeslund, Jesper Erenskjold
AU  - Onyshchenko, Viktor
AU  - Pedashenko, Hristo
AU  - Perez-Haase, Aaron
AU  - Peterka, Tomas
AU  - Prokhorov, Vadim
AU  - Rasomavicius, Valerijus
AU  - Pilar Rodriguez-Rojo, Maria
AU  - Rodwell, John S.
AU  - Rogova, Tatiana
AU  - Ruprecht, Eszter
AU  - Rusina, Solvita
AU  - Seidler, Gunnar
AU  - Sibik, Jozef
AU  - Silc, Urban
AU  - Skvorc, Željko
AU  - Sopotlieva, Desislava
AU  - Stancić, Zvjezdana
AU  - Svenning, Jens-Christian
AU  - Swacha, Grzegorz
AU  - Tsiripidis, Ioannis
AU  - Turtureanu, Pavel Dan
AU  - Ugurlu, Emin
AU  - Uogintas, Domas
AU  - Valachović, Milan
AU  - Vashenyak, Yulia
AU  - Vassilev, Kiril
AU  - Venanzoni, Roberto
AU  - Virtanen, Risto
AU  - Weekes, Lynda
AU  - Willner, Wolfgang
AU  - Wohlgemuth, Thomas
AU  - Yamalov, Sergey
PY  - 2016
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/4131
AB  - The European Vegetation Archive (EVA) is a centralized database of European vegetation plots developed by the IAVS Working Group European Vegetation Survey. It has been in development since 2012 and first made available for use in research projects in 2014. It stores copies of national and regional vegetation-plot databases on a single software platform. Data storage in EVA does not affect on-going independent development of the contributing databases, which remain the property of the data contributors. EVA uses a prototype of the database management software TURBOVEG 3 developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their corresponding names on a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 027 376 vegetation plots, 82% of them with geographic coordinates, from 57 countries. EVA provides a unique data source for large-scale analyses of European vegetation diversity both for fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/eva-database.
PB  - Wiley, Hoboken
T2  - Applied Vegetation Science
T1  - European Vegetation Archive (EVA): an integrated database of European vegetation plots
EP  - 180
IS  - 1
SP  - 173
VL  - 19
DO  - 10.1111/avsc.12191
ER  - 

@article{
author = "Chytry, Milan and Hennekens, Stephan M. and Jimenez-Alfaro, Borja and Knollova, Ilona and Dengler, Juergen and Jansen, Florian and Landucci, Flavia and Schaminee, Joop H.J. and Aćić, Svetlana and Agrillo, Emiliano and Ambarli, Didem and Angelini, Pierangela and Apostolova, Iva and Attorre, Fabio and Berg, Christian and Bergmeier, Erwin and Biurrun, Idoia and Botta-Dukat, Zoltan and Brisse, Henry and Antonio Campos, Juan and Carlon, Luis and Carni, Andraz and Casella, Laura and Csiky, Janos and Custerevska, Renata and Dajić-Stevanović, Zora and Danihelka, Jiri and De Bie, Els and de Ruffray, Patrice and De Sanctis, Michele and Dickore, W.Bernhard and Dimopoulos, Panayotis and Dubyna, Dmytro and Dziuba, Tetiana and Ejrnaes, Rasmus and Ermakov, Nikolai and Ewald, Joerg and Fanelli, Giuliano and Fernandez-Gonzalez, Federico and FitzPatrick, Una and Font, Xavier and Garcia-Mijangos, Itziar and Gavilan, Rosario G. and Golub, Valentin and Guarino, Riccardo and Haveman, Rense and Indreica, Adrian and Gursoy, Deniz Isik and Jandt, Ute and Janssen, John and Jirousek, Martin and Kacki, Zygmunt and Kavgaci, Ali and Kleikamp, Martin and Kolomiychuk, Vitaliy and Krstivojević-Cuk, Mirjana and Krstonosić, Daniel and Kuzemko, Anna and Lenoir, Jonathan and Lysenko, Tatiana and Marceno, Corrado and Martynenko, Vassiliy and Michalcova, Dana and Moeslund, Jesper Erenskjold and Onyshchenko, Viktor and Pedashenko, Hristo and Perez-Haase, Aaron and Peterka, Tomas and Prokhorov, Vadim and Rasomavicius, Valerijus and Pilar Rodriguez-Rojo, Maria and Rodwell, John S. and Rogova, Tatiana and Ruprecht, Eszter and Rusina, Solvita and Seidler, Gunnar and Sibik, Jozef and Silc, Urban and Skvorc, Željko and Sopotlieva, Desislava and Stancić, Zvjezdana and Svenning, Jens-Christian and Swacha, Grzegorz and Tsiripidis, Ioannis and Turtureanu, Pavel Dan and Ugurlu, Emin and Uogintas, Domas and Valachović, Milan and Vashenyak, Yulia and Vassilev, Kiril and Venanzoni, Roberto and Virtanen, Risto and Weekes, Lynda and Willner, Wolfgang and Wohlgemuth, Thomas and Yamalov, Sergey",
year = "2016",
abstract = "The European Vegetation Archive (EVA) is a centralized database of European vegetation plots developed by the IAVS Working Group European Vegetation Survey. It has been in development since 2012 and first made available for use in research projects in 2014. It stores copies of national and regional vegetation-plot databases on a single software platform. Data storage in EVA does not affect on-going independent development of the contributing databases, which remain the property of the data contributors. EVA uses a prototype of the database management software TURBOVEG 3 developed for joint management of multiple databases that use different species lists. This is facilitated by the SynBioSys Taxon Database, a system of taxon names and concepts used in the individual European databases and their corresponding names on a unified list of European flora. TURBOVEG 3 also includes procedures for handling data requests, selections and provisions according to the approved EVA Data Property and Governance Rules. By 30 June 2015, 61 databases from all European regions have joined EVA, contributing in total 1 027 376 vegetation plots, 82% of them with geographic coordinates, from 57 countries. EVA provides a unique data source for large-scale analyses of European vegetation diversity both for fundamental research and nature conservation applications. Updated information on EVA is available online at http://euroveg.org/eva-database.",
publisher = "Wiley, Hoboken",
journal = "Applied Vegetation Science",
title = "European Vegetation Archive (EVA): an integrated database of European vegetation plots",
pages = "180-173",
number = "1",
volume = "19",
doi = "10.1111/avsc.12191"
}

Chytry, M., Hennekens, S. M., Jimenez-Alfaro, B., Knollova, I., Dengler, J., Jansen, F., Landucci, F., Schaminee, J. H.J., Aćić, S., Agrillo, E., Ambarli, D., Angelini, P., Apostolova, I., Attorre, F., Berg, C., Bergmeier, E., Biurrun, I., Botta-Dukat, Z., Brisse, H., Antonio Campos, J., Carlon, L., Carni, A., Casella, L., Csiky, J., Custerevska, R., Dajić-Stevanović, Z., Danihelka, J., De Bie, E., de Ruffray, P., De Sanctis, M., Dickore, W.Bernhard, Dimopoulos, P., Dubyna, D., Dziuba, T., Ejrnaes, R., Ermakov, N., Ewald, J., Fanelli, G., Fernandez-Gonzalez, F., FitzPatrick, U., Font, X., Garcia-Mijangos, I., Gavilan, R. G., Golub, V., Guarino, R., Haveman, R., Indreica, A., Gursoy, D. I., Jandt, U., Janssen, J., Jirousek, M., Kacki, Z., Kavgaci, A., Kleikamp, M., Kolomiychuk, V., Krstivojević-Cuk, M., Krstonosić, D., Kuzemko, A., Lenoir, J., Lysenko, T., Marceno, C., Martynenko, V., Michalcova, D., Moeslund, J. E., Onyshchenko, V., Pedashenko, H., Perez-Haase, A., Peterka, T., Prokhorov, V., Rasomavicius, V., Pilar Rodriguez-Rojo, M., Rodwell, J. S., Rogova, T., Ruprecht, E., Rusina, S., Seidler, G., Sibik, J., Silc, U., Skvorc, Ž., Sopotlieva, D., Stancić, Z., Svenning, J., Swacha, G., Tsiripidis, I., Turtureanu, P. D., Ugurlu, E., Uogintas, D., Valachović, M., Vashenyak, Y., Vassilev, K., Venanzoni, R., Virtanen, R., Weekes, L., Willner, W., Wohlgemuth, T.,& Yamalov, S.. (2016). European Vegetation Archive (EVA): an integrated database of European vegetation plots. in Applied Vegetation Science
Wiley, Hoboken., 19(1), 173-180.
https://doi.org/10.1111/avsc.12191

Chytry M, Hennekens SM, Jimenez-Alfaro B, Knollova I, Dengler J, Jansen F, Landucci F, Schaminee JH, Aćić S, Agrillo E, Ambarli D, Angelini P, Apostolova I, Attorre F, Berg C, Bergmeier E, Biurrun I, Botta-Dukat Z, Brisse H, Antonio Campos J, Carlon L, Carni A, Casella L, Csiky J, Custerevska R, Dajić-Stevanović Z, Danihelka J, De Bie E, de Ruffray P, De Sanctis M, Dickore W, Dimopoulos P, Dubyna D, Dziuba T, Ejrnaes R, Ermakov N, Ewald J, Fanelli G, Fernandez-Gonzalez F, FitzPatrick U, Font X, Garcia-Mijangos I, Gavilan RG, Golub V, Guarino R, Haveman R, Indreica A, Gursoy DI, Jandt U, Janssen J, Jirousek M, Kacki Z, Kavgaci A, Kleikamp M, Kolomiychuk V, Krstivojević-Cuk M, Krstonosić D, Kuzemko A, Lenoir J, Lysenko T, Marceno C, Martynenko V, Michalcova D, Moeslund JE, Onyshchenko V, Pedashenko H, Perez-Haase A, Peterka T, Prokhorov V, Rasomavicius V, Pilar Rodriguez-Rojo M, Rodwell JS, Rogova T, Ruprecht E, Rusina S, Seidler G, Sibik J, Silc U, Skvorc Ž, Sopotlieva D, Stancić Z, Svenning J, Swacha G, Tsiripidis I, Turtureanu PD, Ugurlu E, Uogintas D, Valachović M, Vashenyak Y, Vassilev K, Venanzoni R, Virtanen R, Weekes L, Willner W, Wohlgemuth T, Yamalov S. European Vegetation Archive (EVA): an integrated database of European vegetation plots. in Applied Vegetation Science. 2016;19(1):173-180.
doi:10.1111/avsc.12191 .

Chytry, Milan, Hennekens, Stephan M., Jimenez-Alfaro, Borja, Knollova, Ilona, Dengler, Juergen, Jansen, Florian, Landucci, Flavia, Schaminee, Joop H.J., Aćić, Svetlana, Agrillo, Emiliano, Ambarli, Didem, Angelini, Pierangela, Apostolova, Iva, Attorre, Fabio, Berg, Christian, Bergmeier, Erwin, Biurrun, Idoia, Botta-Dukat, Zoltan, Brisse, Henry, Antonio Campos, Juan, Carlon, Luis, Carni, Andraz, Casella, Laura, Csiky, Janos, Custerevska, Renata, Dajić-Stevanović, Zora, Danihelka, Jiri, De Bie, Els, de Ruffray, Patrice, De Sanctis, Michele, Dickore, W.Bernhard, Dimopoulos, Panayotis, Dubyna, Dmytro, Dziuba, Tetiana, Ejrnaes, Rasmus, Ermakov, Nikolai, Ewald, Joerg, Fanelli, Giuliano, Fernandez-Gonzalez, Federico, FitzPatrick, Una, Font, Xavier, Garcia-Mijangos, Itziar, Gavilan, Rosario G., Golub, Valentin, Guarino, Riccardo, Haveman, Rense, Indreica, Adrian, Gursoy, Deniz Isik, Jandt, Ute, Janssen, John, Jirousek, Martin, Kacki, Zygmunt, Kavgaci, Ali, Kleikamp, Martin, Kolomiychuk, Vitaliy, Krstivojević-Cuk, Mirjana, Krstonosić, Daniel, Kuzemko, Anna, Lenoir, Jonathan, Lysenko, Tatiana, Marceno, Corrado, Martynenko, Vassiliy, Michalcova, Dana, Moeslund, Jesper Erenskjold, Onyshchenko, Viktor, Pedashenko, Hristo, Perez-Haase, Aaron, Peterka, Tomas, Prokhorov, Vadim, Rasomavicius, Valerijus, Pilar Rodriguez-Rojo, Maria, Rodwell, John S., Rogova, Tatiana, Ruprecht, Eszter, Rusina, Solvita, Seidler, Gunnar, Sibik, Jozef, Silc, Urban, Skvorc, Željko, Sopotlieva, Desislava, Stancić, Zvjezdana, Svenning, Jens-Christian, Swacha, Grzegorz, Tsiripidis, Ioannis, Turtureanu, Pavel Dan, Ugurlu, Emin, Uogintas, Domas, Valachović, Milan, Vashenyak, Yulia, Vassilev, Kiril, Venanzoni, Roberto, Virtanen, Risto, Weekes, Lynda, Willner, Wolfgang, Wohlgemuth, Thomas, Yamalov, Sergey, "European Vegetation Archive (EVA): an integrated database of European vegetation plots" in Applied Vegetation Science, 19, no. 1 (2016):173-180,
https://doi.org/10.1111/avsc.12191 . .

TY  - JOUR
AU  - Silc, Urban
AU  - Vrbničanin, Sava
AU  - Božić, Dragana
AU  - Carni, Andraz
AU  - Dajić-Stevanović, Zora
PY  - 2012
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3001
AB  - We studied the anthropogenic vegetation of the Northwest Balkans in order to determine its susceptibility to invasion by alien plant species. We compiled a dataset of 3089 vegetation plots sampled between 1939 and 2009, recording a set of variables for each sample plot in order to determine which factors have the most effect on a habitat's vulnerability to invaders. We calculated the proportion of native species, archaeophytes and neophytes for each plot. We used regression tree models to determine the site conditions of the most invaded anthropogenic habitats. The sample plots contained an average of 12.7% alien plant species, with a low proportion of archaeophytes (4.3%) and 8.4% neophytes. Local habitat conditions proved to have the largest effect, rather than climatic variables or propagule pressure. The proportion of archaeophytes follows a different pattern than that seen in central and northern Europe, indicating that macroecological factors are more important. Neophytes show a similar distribution to other European locations.
PB  - Sciendo, Warsaw
T2  - Central European Journal of Biology
T1  - Alien plant species and factors of invasiveness of anthropogenic vegetation in the Northwestern Balkans - a phytosociological approach
EP  - 730
IS  - 4
SP  - 720
VL  - 7
DO  - 10.2478/s11535-012-0049-9
ER  - 

@article{
author = "Silc, Urban and Vrbničanin, Sava and Božić, Dragana and Carni, Andraz and Dajić-Stevanović, Zora",
year = "2012",
abstract = "We studied the anthropogenic vegetation of the Northwest Balkans in order to determine its susceptibility to invasion by alien plant species. We compiled a dataset of 3089 vegetation plots sampled between 1939 and 2009, recording a set of variables for each sample plot in order to determine which factors have the most effect on a habitat's vulnerability to invaders. We calculated the proportion of native species, archaeophytes and neophytes for each plot. We used regression tree models to determine the site conditions of the most invaded anthropogenic habitats. The sample plots contained an average of 12.7% alien plant species, with a low proportion of archaeophytes (4.3%) and 8.4% neophytes. Local habitat conditions proved to have the largest effect, rather than climatic variables or propagule pressure. The proportion of archaeophytes follows a different pattern than that seen in central and northern Europe, indicating that macroecological factors are more important. Neophytes show a similar distribution to other European locations.",
publisher = "Sciendo, Warsaw",
journal = "Central European Journal of Biology",
title = "Alien plant species and factors of invasiveness of anthropogenic vegetation in the Northwestern Balkans - a phytosociological approach",
pages = "730-720",
number = "4",
volume = "7",
doi = "10.2478/s11535-012-0049-9"
}

Silc, U., Vrbničanin, S., Božić, D., Carni, A.,& Dajić-Stevanović, Z.. (2012). Alien plant species and factors of invasiveness of anthropogenic vegetation in the Northwestern Balkans - a phytosociological approach. in Central European Journal of Biology
Sciendo, Warsaw., 7(4), 720-730.
https://doi.org/10.2478/s11535-012-0049-9

Silc U, Vrbničanin S, Božić D, Carni A, Dajić-Stevanović Z. Alien plant species and factors of invasiveness of anthropogenic vegetation in the Northwestern Balkans - a phytosociological approach. in Central European Journal of Biology. 2012;7(4):720-730.
doi:10.2478/s11535-012-0049-9 .

Silc, Urban, Vrbničanin, Sava, Božić, Dragana, Carni, Andraz, Dajić-Stevanović, Zora, "Alien plant species and factors of invasiveness of anthropogenic vegetation in the Northwestern Balkans - a phytosociological approach" in Central European Journal of Biology, 7, no. 4 (2012):720-730,
https://doi.org/10.2478/s11535-012-0049-9 . .

TY  - JOUR
AU  - Silc, Urban
AU  - Vrbničanin, Sava
AU  - Božić, D.
AU  - Carni, Andraz
AU  - Dajić-Stevanović, Zora
PY  - 2009
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/2048
AB  - P>Surveys of weed vegetation of the western Balkan peninsula (1939-2006) were used to study changes in species composition. A large data set of arable weed vegetation was compiled and analysed with direct and indirect ordination, regression and beta (beta) diversity analysis. Five environmental variables (altitude, season, year, crop, phytogeographical region) were used to determine broad-scale changes in weed species composition. The most important parameter was phytogeography and the second was crop. Altitude and season were found to be less important, although significant, which contrasts with results from Central and Northern Europe. beta-diversity was higher in cereals and in summer, while decline along the altitudinal gradient previously demonstrated in Central Europe, was not observed. In southern parts of the studied area, thermophilous species have shifted to higher altitudes. The results and ranking of importance of environmental and spatial variables are discussed in relation to similar studies in Northern and Central Europe.
PB  - Wiley, Hoboken
T2  - Weed Research
T1  - Weed vegetation in the north-western Balkans: diversity and species composition
EP  - 612
IS  - 6
SP  - 602
VL  - 49
DO  - 10.1111/j.1365-3180.2009.00726.x
ER  - 

@article{
author = "Silc, Urban and Vrbničanin, Sava and Božić, D. and Carni, Andraz and Dajić-Stevanović, Zora",
year = "2009",
abstract = "P>Surveys of weed vegetation of the western Balkan peninsula (1939-2006) were used to study changes in species composition. A large data set of arable weed vegetation was compiled and analysed with direct and indirect ordination, regression and beta (beta) diversity analysis. Five environmental variables (altitude, season, year, crop, phytogeographical region) were used to determine broad-scale changes in weed species composition. The most important parameter was phytogeography and the second was crop. Altitude and season were found to be less important, although significant, which contrasts with results from Central and Northern Europe. beta-diversity was higher in cereals and in summer, while decline along the altitudinal gradient previously demonstrated in Central Europe, was not observed. In southern parts of the studied area, thermophilous species have shifted to higher altitudes. The results and ranking of importance of environmental and spatial variables are discussed in relation to similar studies in Northern and Central Europe.",
publisher = "Wiley, Hoboken",
journal = "Weed Research",
title = "Weed vegetation in the north-western Balkans: diversity and species composition",
pages = "612-602",
number = "6",
volume = "49",
doi = "10.1111/j.1365-3180.2009.00726.x"
}

Silc, U., Vrbničanin, S., Božić, D., Carni, A.,& Dajić-Stevanović, Z.. (2009). Weed vegetation in the north-western Balkans: diversity and species composition. in Weed Research
Wiley, Hoboken., 49(6), 602-612.
https://doi.org/10.1111/j.1365-3180.2009.00726.x

Silc U, Vrbničanin S, Božić D, Carni A, Dajić-Stevanović Z. Weed vegetation in the north-western Balkans: diversity and species composition. in Weed Research. 2009;49(6):602-612.
doi:10.1111/j.1365-3180.2009.00726.x .

Silc, Urban, Vrbničanin, Sava, Božić, D., Carni, Andraz, Dajić-Stevanović, Zora, "Weed vegetation in the north-western Balkans: diversity and species composition" in Weed Research, 49, no. 6 (2009):602-612,
https://doi.org/10.1111/j.1365-3180.2009.00726.x . .

TY  - JOUR
AU  - Silc, Urban
AU  - Vrbničanin, Sava
AU  - Božić, Dragana
AU  - Carni, Andraz
AU  - Dajić-Stevanović, Zora
PY  - 2008
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/1766
AB  - A stratified dataset of 2426 releves of weed vegetation of arable fields of the Balkan Peninsula was analysed by cluster analysis. The major division in species composition was associated with the type of crop. This accords with the syntaxonomical and ecological pattern already detected for southeast Europe and is in conflict with the Central European classification that has appeared in recent years. Clusters resulting from numerical classification reproduced the majority of traditionally recognized phytosociological alliances (Oxalidion, Panico-Setarion and Eragrostion are associated with root crops, while Scleranthion, Caucalidion and Galeopsion with cereals). Galeopsion was grouped with some Caucalidion releves, which is not surprising since both consist of weed communities from cereals. Vernal communities form a separate cluster and indicate a special community type, which has been treated in some classification systems as a phenological aspect.
PB  - Gebruder Borntraeger, Stuttgart
T2  - Phytocoenologia
T1  - Phytosociological alliances in the vegetation of arable fields in the northwestern Balkan Peninsula
EP  - 254
IS  - 4
SP  - 241
VL  - 38
DO  - 10.1127/0340-269X/2008/0038-0241
ER  - 

@article{
author = "Silc, Urban and Vrbničanin, Sava and Božić, Dragana and Carni, Andraz and Dajić-Stevanović, Zora",
year = "2008",
abstract = "A stratified dataset of 2426 releves of weed vegetation of arable fields of the Balkan Peninsula was analysed by cluster analysis. The major division in species composition was associated with the type of crop. This accords with the syntaxonomical and ecological pattern already detected for southeast Europe and is in conflict with the Central European classification that has appeared in recent years. Clusters resulting from numerical classification reproduced the majority of traditionally recognized phytosociological alliances (Oxalidion, Panico-Setarion and Eragrostion are associated with root crops, while Scleranthion, Caucalidion and Galeopsion with cereals). Galeopsion was grouped with some Caucalidion releves, which is not surprising since both consist of weed communities from cereals. Vernal communities form a separate cluster and indicate a special community type, which has been treated in some classification systems as a phenological aspect.",
publisher = "Gebruder Borntraeger, Stuttgart",
journal = "Phytocoenologia",
title = "Phytosociological alliances in the vegetation of arable fields in the northwestern Balkan Peninsula",
pages = "254-241",
number = "4",
volume = "38",
doi = "10.1127/0340-269X/2008/0038-0241"
}

Silc, U., Vrbničanin, S., Božić, D., Carni, A.,& Dajić-Stevanović, Z.. (2008). Phytosociological alliances in the vegetation of arable fields in the northwestern Balkan Peninsula. in Phytocoenologia
Gebruder Borntraeger, Stuttgart., 38(4), 241-254.
https://doi.org/10.1127/0340-269X/2008/0038-0241

Silc U, Vrbničanin S, Božić D, Carni A, Dajić-Stevanović Z. Phytosociological alliances in the vegetation of arable fields in the northwestern Balkan Peninsula. in Phytocoenologia. 2008;38(4):241-254.
doi:10.1127/0340-269X/2008/0038-0241 .

Silc, Urban, Vrbničanin, Sava, Božić, Dragana, Carni, Andraz, Dajić-Stevanović, Zora, "Phytosociological alliances in the vegetation of arable fields in the northwestern Balkan Peninsula" in Phytocoenologia, 38, no. 4 (2008):241-254,
https://doi.org/10.1127/0340-269X/2008/0038-0241 . .