TY  - JOUR
AU  - Midolo, Gabriele
AU  - Herben, Tomáš
AU  - Axmanová, Irena
AU  - Marcenò, Corrado
AU  - Pätsch, Ricarda
AU  - Bruelheide, Helge
AU  - Karger, Dirk Nikolaus
AU  - Aćić, Svetlana
AU  - Bergamini, Ariel
AU  - Bergmeier, E.
AU  - Biurrun, Erwin
AU  - Bonari, Idoia
AU  - Čarni, Andraž
AU  - Chiarucci, Alessandro
AU  - De Sanctis, Michele
AU  - Demina, Olga
AU  - Dengler, Jürgen
AU  - Dziuba, Tetiana
AU  - Fanelli, Giuliano
AU  - Garbolino, Emmanuel
AU  - Giusso del Galdo, Gianpietro
AU  - Goral, Friedemann
AU  - Güler, Behlül
AU  - Hinojos-Mendoza, Guillermo
AU  - Jansen, Florian
AU  - Jiménez-Alfaro, Borja
AU  - Lengyel, Attila
AU  - Lenoir, Jonathan
AU  - Pérez-Haase, Aaron
AU  - Pielech, Remigiusz
AU  - Prokhorov, Vadim
AU  - Rašomavičius, Valerijus
AU  - Ruprecht, Eszter
AU  - Rūsiņa, Solvita
AU  - Šilc, Urban
AU  - Škvorc, Željko
AU  - Stančić, Zvezdana
AU  - Tatarenko, Irina
AU  - Chytrý, Milan
PY  - 2023
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/6241
AB  - Motivation: Indicator values are numerical values used to characterize the ecological niches of species and to estimate their occurrence along gradients. Indicator values on climatic and edaphic niches of plant species have received considerable attention in ecological research, whereas data on the optimal positioning of species along disturbance gradients are less developed. Here, we present a new data set of disturbance indicator values identifying optima along gradients of natural and anthropogenic disturbance for 6382 vascular plant species based on the analysis of 736,366 European vegetation plots and using expert-based characterization of disturbance regimes in 236 habitat types. The indicator values presented here are crucial for integrating disturbance niche optima into large-scale vegetation analyses and macroecological studies. Main types of variables contained: We set up five main continuous indicator values for European vascular plants: disturbance severity, disturbance frequency, mowing frequency, grazing pressure and soil disturbance. The first two indicators are provided separately for the whole community and for the herb layer. We calculated the values as the average of expert-based estimates of disturbance values in all habitat types where a species occurs, weighted by the number of plots in which the species occurs within a given habitat type. Spatial location and grain: Europe. Vegetation plots ranging in size from 1 to 1000 m2. Time period and grain: Vegetation plots mostly sampled between 1956 and 2013 (= 5th and 95th quantiles of the sampling year, respectively). Major taxa and level of measurement: Species-level indicator values for vascular plants. Software format: csv file. © 2022 John Wiley & Sons Ltd.
T2  - Global Ecology and Biogeography
T2  - Global Ecology and Biogeography
T1  - Disturbance indicator values for European plants
EP  - 34
IS  - 1
SP  - 24
VL  - 32
DO  - 10.1111/geb.13603
ER  - 

@article{
author = "Midolo, Gabriele and Herben, Tomáš and Axmanová, Irena and Marcenò, Corrado and Pätsch, Ricarda and Bruelheide, Helge and Karger, Dirk Nikolaus and Aćić, Svetlana and Bergamini, Ariel and Bergmeier, E. and Biurrun, Erwin and Bonari, Idoia and Čarni, Andraž and Chiarucci, Alessandro and De Sanctis, Michele and Demina, Olga and Dengler, Jürgen and Dziuba, Tetiana and Fanelli, Giuliano and Garbolino, Emmanuel and Giusso del Galdo, Gianpietro and Goral, Friedemann and Güler, Behlül and Hinojos-Mendoza, Guillermo and Jansen, Florian and Jiménez-Alfaro, Borja and Lengyel, Attila and Lenoir, Jonathan and Pérez-Haase, Aaron and Pielech, Remigiusz and Prokhorov, Vadim and Rašomavičius, Valerijus and Ruprecht, Eszter and Rūsiņa, Solvita and Šilc, Urban and Škvorc, Željko and Stančić, Zvezdana and Tatarenko, Irina and Chytrý, Milan",
year = "2023",
abstract = "Motivation: Indicator values are numerical values used to characterize the ecological niches of species and to estimate their occurrence along gradients. Indicator values on climatic and edaphic niches of plant species have received considerable attention in ecological research, whereas data on the optimal positioning of species along disturbance gradients are less developed. Here, we present a new data set of disturbance indicator values identifying optima along gradients of natural and anthropogenic disturbance for 6382 vascular plant species based on the analysis of 736,366 European vegetation plots and using expert-based characterization of disturbance regimes in 236 habitat types. The indicator values presented here are crucial for integrating disturbance niche optima into large-scale vegetation analyses and macroecological studies. Main types of variables contained: We set up five main continuous indicator values for European vascular plants: disturbance severity, disturbance frequency, mowing frequency, grazing pressure and soil disturbance. The first two indicators are provided separately for the whole community and for the herb layer. We calculated the values as the average of expert-based estimates of disturbance values in all habitat types where a species occurs, weighted by the number of plots in which the species occurs within a given habitat type. Spatial location and grain: Europe. Vegetation plots ranging in size from 1 to 1000 m2. Time period and grain: Vegetation plots mostly sampled between 1956 and 2013 (= 5th and 95th quantiles of the sampling year, respectively). Major taxa and level of measurement: Species-level indicator values for vascular plants. Software format: csv file. © 2022 John Wiley & Sons Ltd.",
journal = "Global Ecology and Biogeography, Global Ecology and Biogeography",
title = "Disturbance indicator values for European plants",
pages = "34-24",
number = "1",
volume = "32",
doi = "10.1111/geb.13603"
}

Midolo, G., Herben, T., Axmanová, I., Marcenò, C., Pätsch, R., Bruelheide, H., Karger, D. N., Aćić, S., Bergamini, A., Bergmeier, E., Biurrun, E., Bonari, I., Čarni, A., Chiarucci, A., De Sanctis, M., Demina, O., Dengler, J., Dziuba, T., Fanelli, G., Garbolino, E., Giusso del Galdo, G., Goral, F., Güler, B., Hinojos-Mendoza, G., Jansen, F., Jiménez-Alfaro, B., Lengyel, A., Lenoir, J., Pérez-Haase, A., Pielech, R., Prokhorov, V., Rašomavičius, V., Ruprecht, E., Rūsiņa, S., Šilc, U., Škvorc, Ž., Stančić, Z., Tatarenko, I.,& Chytrý, M.. (2023). Disturbance indicator values for European plants. in Global Ecology and Biogeography, 32(1), 24-34.
https://doi.org/10.1111/geb.13603

Midolo G, Herben T, Axmanová I, Marcenò C, Pätsch R, Bruelheide H, Karger DN, Aćić S, Bergamini A, Bergmeier E, Biurrun E, Bonari I, Čarni A, Chiarucci A, De Sanctis M, Demina O, Dengler J, Dziuba T, Fanelli G, Garbolino E, Giusso del Galdo G, Goral F, Güler B, Hinojos-Mendoza G, Jansen F, Jiménez-Alfaro B, Lengyel A, Lenoir J, Pérez-Haase A, Pielech R, Prokhorov V, Rašomavičius V, Ruprecht E, Rūsiņa S, Šilc U, Škvorc Ž, Stančić Z, Tatarenko I, Chytrý M. Disturbance indicator values for European plants. in Global Ecology and Biogeography. 2023;32(1):24-34.
doi:10.1111/geb.13603 .

Midolo, Gabriele, Herben, Tomáš, Axmanová, Irena, Marcenò, Corrado, Pätsch, Ricarda, Bruelheide, Helge, Karger, Dirk Nikolaus, Aćić, Svetlana, Bergamini, Ariel, Bergmeier, E., Biurrun, Erwin, Bonari, Idoia, Čarni, Andraž, Chiarucci, Alessandro, De Sanctis, Michele, Demina, Olga, Dengler, Jürgen, Dziuba, Tetiana, Fanelli, Giuliano, Garbolino, Emmanuel, Giusso del Galdo, Gianpietro, Goral, Friedemann, Güler, Behlül, Hinojos-Mendoza, Guillermo, Jansen, Florian, Jiménez-Alfaro, Borja, Lengyel, Attila, Lenoir, Jonathan, Pérez-Haase, Aaron, Pielech, Remigiusz, Prokhorov, Vadim, Rašomavičius, Valerijus, Ruprecht, Eszter, Rūsiņa, Solvita, Šilc, Urban, Škvorc, Željko, Stančić, Zvezdana, Tatarenko, Irina, Chytrý, Milan, "Disturbance indicator values for European plants" in Global Ecology and Biogeography, 32, no. 1 (2023):24-34,
https://doi.org/10.1111/geb.13603 . .

TY  - JOUR
AU  - Sporbert, Maria
AU  - Welk, Erik
AU  - Seidler, Gunnar
AU  - Jandt, Ute
AU  - Aćić, Svetlana
AU  - Biurrun, Idoia
AU  - Campos, Juan Antonio
AU  - Čarni, Andraž
AU  - Cerabolini, Bruno E. L.
AU  - Chytrý, Milan
AU  - Čušterevska, Renata
AU  - Dengler, Jürgen
AU  - De Sanctis, Michele
AU  - Dziuba, Tetiana
AU  - Fagúndez, Jaime
AU  - Field, Richard
AU  - Golub, Valentin
AU  - He, Tianhua
AU  - Jansen, Florian
AU  - Lenoir, Jonathan
AU  - Marcenò, Corrado
AU  - Martín- Forés, Irene
AU  - Erenskjold Moeslund, Jesper
AU  - Moretti, Marco
AU  - Niinemets, Ülo
AU  - Penuelas, Josep
AU  - Pérez- Haase, Aaron
AU  - Vandvik, Vigdis
AU  - Vassilev, Kiril
AU  - Vynokurov, Denys
AU  - Bruelheide, Helge
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5845
AB  - Plant functional traits summarize the main variability in plant form and function across taxa and biomes. We assess whether geographic range size, climatic niche size, and local abundance of plants can be predicted by sets of traits (trait syndromes) or are driven by single traits. Location: Eurasia. Methods: Species distribution maps were extracted from the Chorological Database Halle to derive information on the geographic range size and climatic niche size for 456 herbaceous, dwarf shrub and shrub species. We estimated local species abundances based on 740,113 vegetation plots from the European Vegetation Archive, where abundances were available as plant species cover per plot. We compiled a complete species-by-trait matrix of 20 plant functional traits from trait databases (TRY, BiolFlor and CLO-PLA). The relationships of species’ geographic range size, climatic niche size and local abundance with single traits and trait syndromes were tested with multiple linear regression models. Results: Generally, traits were more strongly related to local abundances than to broad-scale species distribution patterns in geographic and climatic space (range and niche size), but both were better predicted by trait combinations than by single traits. Local abundance increased with leaf area and specific leaf area (SLA). Geographic range size and climatic niche size both increased with SLA. While range size increased with plant height, niche size decreased with leaf carbon content. Conclusion: Functional traits matter for species’ abundance and distribution at both local and broad geographic scale. Local abundances are associated with different combinations of traits as compared to broad-scale distributions, pointing to filtering by different environmental and ecological factors acting at distinct spatial scales. However, traits related to the leaf economics spectrum were important for species’ abundance and occurrence at both spatial scales. This finding emphasizes the general importance of resource acquisition strategies for the abundance and distribution of herbaceous, dwarf shrub and shrub species.
PB  - John Wiley and Sons Inc
T2  - Journal of Vegetation Science
T1  - Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales
IS  - 2
SP  - e13016
VL  - 32
DO  - 10.1111/jvs.13016
ER  - 

@article{
author = "Sporbert, Maria and Welk, Erik and Seidler, Gunnar and Jandt, Ute and Aćić, Svetlana and Biurrun, Idoia and Campos, Juan Antonio and Čarni, Andraž and Cerabolini, Bruno E. L. and Chytrý, Milan and Čušterevska, Renata and Dengler, Jürgen and De Sanctis, Michele and Dziuba, Tetiana and Fagúndez, Jaime and Field, Richard and Golub, Valentin and He, Tianhua and Jansen, Florian and Lenoir, Jonathan and Marcenò, Corrado and Martín- Forés, Irene and Erenskjold Moeslund, Jesper and Moretti, Marco and Niinemets, Ülo and Penuelas, Josep and Pérez- Haase, Aaron and Vandvik, Vigdis and Vassilev, Kiril and Vynokurov, Denys and Bruelheide, Helge",
year = "2021",
abstract = "Plant functional traits summarize the main variability in plant form and function across taxa and biomes. We assess whether geographic range size, climatic niche size, and local abundance of plants can be predicted by sets of traits (trait syndromes) or are driven by single traits. Location: Eurasia. Methods: Species distribution maps were extracted from the Chorological Database Halle to derive information on the geographic range size and climatic niche size for 456 herbaceous, dwarf shrub and shrub species. We estimated local species abundances based on 740,113 vegetation plots from the European Vegetation Archive, where abundances were available as plant species cover per plot. We compiled a complete species-by-trait matrix of 20 plant functional traits from trait databases (TRY, BiolFlor and CLO-PLA). The relationships of species’ geographic range size, climatic niche size and local abundance with single traits and trait syndromes were tested with multiple linear regression models. Results: Generally, traits were more strongly related to local abundances than to broad-scale species distribution patterns in geographic and climatic space (range and niche size), but both were better predicted by trait combinations than by single traits. Local abundance increased with leaf area and specific leaf area (SLA). Geographic range size and climatic niche size both increased with SLA. While range size increased with plant height, niche size decreased with leaf carbon content. Conclusion: Functional traits matter for species’ abundance and distribution at both local and broad geographic scale. Local abundances are associated with different combinations of traits as compared to broad-scale distributions, pointing to filtering by different environmental and ecological factors acting at distinct spatial scales. However, traits related to the leaf economics spectrum were important for species’ abundance and occurrence at both spatial scales. This finding emphasizes the general importance of resource acquisition strategies for the abundance and distribution of herbaceous, dwarf shrub and shrub species.",
publisher = "John Wiley and Sons Inc",
journal = "Journal of Vegetation Science",
title = "Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales",
number = "2",
pages = "e13016",
volume = "32",
doi = "10.1111/jvs.13016"
}

Sporbert, M., Welk, E., Seidler, G., Jandt, U., Aćić, S., Biurrun, I., Campos, J. A., Čarni, A., Cerabolini, B. E. L., Chytrý, M., Čušterevska, R., Dengler, J., De Sanctis, M., Dziuba, T., Fagúndez, J., Field, R., Golub, V., He, T., Jansen, F., Lenoir, J., Marcenò, C., Martín- Forés, I., Erenskjold Moeslund, J., Moretti, M., Niinemets, Ü., Penuelas, J., Pérez- Haase, A., Vandvik, V., Vassilev, K., Vynokurov, D.,& Bruelheide, H.. (2021). Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales. in Journal of Vegetation Science
John Wiley and Sons Inc., 32(2), e13016.
https://doi.org/10.1111/jvs.13016

Sporbert M, Welk E, Seidler G, Jandt U, Aćić S, Biurrun I, Campos JA, Čarni A, Cerabolini BEL, Chytrý M, Čušterevska R, Dengler J, De Sanctis M, Dziuba T, Fagúndez J, Field R, Golub V, He T, Jansen F, Lenoir J, Marcenò C, Martín- Forés I, Erenskjold Moeslund J, Moretti M, Niinemets Ü, Penuelas J, Pérez- Haase A, Vandvik V, Vassilev K, Vynokurov D, Bruelheide H. Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales. in Journal of Vegetation Science. 2021;32(2):e13016.
doi:10.1111/jvs.13016 .

Sporbert, Maria, Welk, Erik, Seidler, Gunnar, Jandt, Ute, Aćić, Svetlana, Biurrun, Idoia, Campos, Juan Antonio, Čarni, Andraž, Cerabolini, Bruno E. L., Chytrý, Milan, Čušterevska, Renata, Dengler, Jürgen, De Sanctis, Michele, Dziuba, Tetiana, Fagúndez, Jaime, Field, Richard, Golub, Valentin, He, Tianhua, Jansen, Florian, Lenoir, Jonathan, Marcenò, Corrado, Martín- Forés, Irene, Erenskjold Moeslund, Jesper, Moretti, Marco, Niinemets, Ülo, Penuelas, Josep, Pérez- Haase, Aaron, Vandvik, Vigdis, Vassilev, Kiril, Vynokurov, Denys, Bruelheide, Helge, "Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales" in Journal of Vegetation Science, 32, no. 2 (2021):e13016,
https://doi.org/10.1111/jvs.13016 . .

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 . .