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19 results on '"Krstonošić, D."'

1. sPlot – A new tool for global vegetation analyses

Author

Bruelheide, H., Dengler, J., Jiménez Alfaro, Borja, Purschke, Oliver, Hennekens, S.M., Chytrý, M., Pillar, V.D., Jansen, F., Kattge, Jens, Sandel, B., Aubin, I., Beckmann, M., Berg, Christian, Fagúndez, J., Levesley, A., Bergeron, Y., Bergmeier, E., De Bie, E., Nobis, M., Kuzemko, A., Kącki, Z., Marcenò, Corrado, Byun, C., Işık Gürsoy, D., Li, C.-F., Cabido, M.R., Hatim, M.Z., Moeslund, J.E., Casella, L., Cayuela, Luis, Finckh, Manfred, Petřík, P., Martynenko, V., Kozhevnikova, M., Liu, H., Kavgacı, A., Moretti, M., de Ruffray, P., Jansen, S., Pauchard, A., De Sanctis, M., Dimopoulos, P., He, T., Schmiedel, U., Küzmič, F., Müller, J.V., Kozub, Ł., Pedashenko, H., Lopez-Gonzalez, G., Kearsley, E., Rodwell, J., Font, X., Forey, E., Janssen, J., Biurrun, Idoia, Peñuelas, Josep, Landucci, F., Ruprecht, E., Munzinger, J., Krstonošić, D., Smyth, A., Higuchi, P., Lysenko, T., Kessler, M., Rūsiņa, S., Mencuccini, Maurizio, Sop, T., Pérez-Haase, A., Lee, M.T., Tsiripidis, I., Jedrzejek, B., Niinemets, Ü., Mahdavi, P., Sopotlieva, D., Turtureanu, P. D., Samimi, C., Minden, V., Vélez-Martin, E., Knollová, I., Peterka, T., Noroozi, J., Uğurlu, E., Venanzoni, R., Sparrow, B., Walker, D.A., Kühl, H., Schaminée, J.H.J., Phillips, Olivier L., Peet, R.K., Wana, D., Uogintas, D., Wiser, S., Manning, Peter, Stančić, Z., Arnst, E., Wohlgemuth, T., Vibrans, A.C., Schmidt, M., Nowak, A., Valachovič, M., Field, R., Onyshchenko, V., Svenning, J.-C., Álvarez, M., Overbeck, G.E., Ozinga, Win A., Šibík, J., Breen, A., Schrodt, F., Weiher, E., Haider, S., Violle, Cyrille, Ambarlı, D., Prokhorov, V., Vanselow, K. A., Bjorkman, Anne D., Rašomavičius, V., Revermann, R., Swacha, G., Dajić-Stevanović, Zora, Yamalov, S., Angelini, Pierangela, Wesche, K., Bondareva, V., Jandt, U., Virtanen, R., Černý, T., Šilc, U., Škvorc, Ž., Vashenyak, Y., Winter, M., Borchardt, P., Zizka, G., Chepinoga, V., Apostolova, I., Whitfeld, T., Dressler, S., Tang, Z., Lenoir, J., von Wehrden, H., Csiky, J., Aćić, Svetlana, Ejrnæs, R., Botta-Dukát, Z., Zverev, A., Fotiadis, Georgios, Vassilev, K., Arfin Khan, Mohammed A. S., Peyre, G., El-Sheikh, M.A.E.-R.M., García-Mijangos, I., Curran, Michael, Agrillo, E., Holubová, D., Wagner, V., Boyle, B., Attorre, Fabio, de Gasper, A.L., Hölzel, N., Enquist, B., Jiroušek, M., Willner, W., Custerevska, Renata, Brisse, H., Homeier, J., Jürgens, N., Golub, V., Kolomiychuk, V., Sabatini, Francesco Maria, Ewald, J., Macanović, A., Korolyuk, A., Indreica, A., Kühn, Ingolf, Baraloto, C., Gutierrez, A.G., Bruelheide, H., Dengler, J., Jiménez Alfaro, Borja, Purschke, Oliver, Hennekens, S.M., Chytrý, M., Pillar, V.D., Jansen, F., Kattge, Jens, Sandel, B., Aubin, I., Beckmann, M., Berg, Christian, Fagúndez, J., Levesley, A., Bergeron, Y., Bergmeier, E., De Bie, E., Nobis, M., Kuzemko, A., Kącki, Z., Marcenò, Corrado, Byun, C., Işık Gürsoy, D., Li, C.-F., Cabido, M.R., Hatim, M.Z., Moeslund, J.E., Casella, L., Cayuela, Luis, Finckh, Manfred, Petřík, P., Martynenko, V., Kozhevnikova, M., Liu, H., Kavgacı, A., Moretti, M., de Ruffray, P., Jansen, S., Pauchard, A., De Sanctis, M., Dimopoulos, P., He, T., Schmiedel, U., Küzmič, F., Müller, J.V., Kozub, Ł., Pedashenko, H., Lopez-Gonzalez, G., Kearsley, E., Rodwell, J., Font, X., Forey, E., Janssen, J., Biurrun, Idoia, Peñuelas, Josep, Landucci, F., Ruprecht, E., Munzinger, J., Krstonošić, D., Smyth, A., Higuchi, P., Lysenko, T., Kessler, M., Rūsiņa, S., Mencuccini, Maurizio, Sop, T., Pérez-Haase, A., Lee, M.T., Tsiripidis, I., Jedrzejek, B., Niinemets, Ü., Mahdavi, P., Sopotlieva, D., Turtureanu, P. D., Samimi, C., Minden, V., Vélez-Martin, E., Knollová, I., Peterka, T., Noroozi, J., Uğurlu, E., Venanzoni, R., Sparrow, B., Walker, D.A., Kühl, H., Schaminée, J.H.J., Phillips, Olivier L., Peet, R.K., Wana, D., Uogintas, D., Wiser, S., Manning, Peter, Stančić, Z., Arnst, E., Wohlgemuth, T., Vibrans, A.C., Schmidt, M., Nowak, A., Valachovič, M., Field, R., Onyshchenko, V., Svenning, J.-C., Álvarez, M., Overbeck, G.E., Ozinga, Win A., Šibík, J., Breen, A., Schrodt, F., Weiher, E., Haider, S., Violle, Cyrille, Ambarlı, D., Prokhorov, V., Vanselow, K. A., Bjorkman, Anne D., Rašomavičius, V., Revermann, R., Swacha, G., Dajić-Stevanović, Zora, Yamalov, S., Angelini, Pierangela, Wesche, K., Bondareva, V., Jandt, U., Virtanen, R., Černý, T., Šilc, U., Škvorc, Ž., Vashenyak, Y., Winter, M., Borchardt, P., Zizka, G., Chepinoga, V., Apostolova, I., Whitfeld, T., Dressler, S., Tang, Z., Lenoir, J., von Wehrden, H., Csiky, J., Aćić, Svetlana, Ejrnæs, R., Botta-Dukát, Z., Zverev, A., Fotiadis, Georgios, Vassilev, K., Arfin Khan, Mohammed A. S., Peyre, G., El-Sheikh, M.A.E.-R.M., García-Mijangos, I., Curran, Michael, Agrillo, E., Holubová, D., Wagner, V., Boyle, B., Attorre, Fabio, de Gasper, A.L., Hölzel, N., Enquist, B., Jiroušek, M., Willner, W., Custerevska, Renata, Brisse, H., Homeier, J., Jürgens, N., Golub, V., Kolomiychuk, V., Sabatini, Francesco Maria, Ewald, J., Macanović, A., Korolyuk, A., Indreica, A., Kühn, Ingolf, Baraloto, C., and Gutierrez, A.G.

Abstract

Aims: Vegetation-plot records provide information on the presence and cover or abundance of plants co-occurring in the same community. Vegetation-plot data are spread across research groups, environmental agencies and biodiversity research centers and, thus, are rarely accessible at continental or global scales. Here we present the sPlot database, which collates vegetation plots worldwide to allow for the exploration of global patterns in taxonomic, functional and phylogenetic diversity at the plant community level. Results: sPlot version 2.1 contains records from 1,121,244 vegetation plots, which comprise 23,586,216 records of plant species and their relative cover or abundance in plots collected worldwide between 1885 and 2015. We complemented the information for each plot by retrieving climate and soil conditions and the biogeographic context (e.g., biomes) from external sources, and by calculating community-weighted means and variances of traits using gap-filled data from the global plant trait database TRY. Moreover, we created a phylogenetic tree for 50,167 out of the 54,519 species identified in the plots. We present the first maps of global patterns of community richness and community-weighted means of key traits. Conclusions: The availability of vegetation plot data in sPlot offers new avenues for vegetation analysis at the global scale.

Published
2019

2. The Braun-Blanquet project: evaluating and characterizing European vegetation alliances

Author

Jiménez Alfaro, B, Chytrý, M, Hennekens, S, Knollová, I, Schaminée, J, Agrillo E, Alessi, N, Greve Alsos, I, Apostolova, I, Attorre, F, Austrheim, G, Bergmeier, E, Biurrun, I, Brisse, H, Brunet, J, Carlón, L, Čarni, A, Csiky, J, Danihelka, J, De Bie, E, de Cáceres, M, Dengler, J, Didukh, Y, Dimopoulos, P, Ejrnaes, R, Fernández González, F, Fitzpatrick, Ú, Font, X, Golub, V, Grytnes, J­A, Indreica, A, Jandt, U, Jansen, F, Kącki, Z, Krstonošić, D, Landucci, F, Lenoir, J, Luoto, M, Lysenko, T, Martynenko, V, Michalcová, D, Novakovskiy, A, Onyshchenko, V, Rodríguez Rojo, MP, Rodwell, J, Šibík, J, Šilc, U, Škvorc, Ž, Sorokin A, Stančić, Z, Suárez ­Seoane, S, Tichý, L, Vandvik, V, Venanzoni, R, Virtanen, R, Willner, W, Yamalov, S, Zobel, M., GUARINO, Riccardo, Jiménez-Alfaro, B, Chytrý, M, Hennekens, S, Knollová, I, Schaminée, J, Agrillo E, Alessi, N, Greve Alsos, I, Apostolova, I, Attorre, F, Austrheim, G, Bergmeier, E, Biurrun, I, Brisse, H, Brunet, J, Carlón, L, Čarni, A, Csiky, J, Danihelka, J, De Bie, E, de Cáceres, M, Dengler, J, Didukh, Y, Dimopoulos, P, Ejrnaes, R, Fernández González, F, Fitzpatrick, Ú, Font, X, Golub, V, Grytnes, J­A, Guarino, R, Indreica, A, Jandt, U, Jansen, F, Kącki, Z, Krstonošić, D, Landucci, F, Lenoir, J, Luoto, M, Lysenko, T, Martynenko, V, Michalcová, D, Novakovskiy, A, Onyshchenko, V, Rodríguez Rojo, MP, Rodwell, J, Šibík, J, Šilc, U, Škvorc, Ž, Sorokin A, Stančić, Z, Suárez-­Seoane, S, Tichý, L, Vandvik, V, Venanzoni, R, Virtanen, R, Willner, W, Yamalov, S, and Zobel, M

Subjects
Phytosociology, Europe, Alliances, Vegetation, biodiversity assessment, natural habitats, Settore BIO/03 - Botanica Ambientale E Applicata
Abstract

European tradition on vegetation classification provides an extraordinary legacy for understanding biodiversity. However, this classification lacks explicit data on vegetation attributes, especially if we extend national or regional concepts to a continental perspective. An additional effort for evaluating and characterizing European vegetation types is therefore needed, and the data contained in vegeta­ tion databases are probably the main tool for these purposes. The Braun­Blanquet project is an initiative of the European Vegetation Survey for characterizing veg­ etation alliances across Europe. By analyzing more than 500,000 vegetation plots from 22 European countries, we developed a framework consisting of: (1) evaluat­ ing the consistency and robustness of alliances using the information provided by vegetation plot databases, (2) calibrating assignment rules for classifying, at least partially, the plots not assigned to alliances and (3) characterizing vegeta­ tion types by providing lists of diagnostic species and major distributional pat­ terns. The Braun­Blanquet project represents the first attempt for extrapolating European vegetation information into a comprehensive definition of vegetation types. Furthermore, the outputs of the project are expected to improve biodiver­sity assessment and the conservation management of natural habitats. As a study case, we illustrate how our framework can be used to characterize different forest types across Europe.

Published
2014

4. Spatial variation of the matching between regional and local classifications: an example of Central European grasslands

Author

Lengyel, A., Bauer, N., Chytrý, M., Illyés, E., Jandt, U., Janisová, M., Kącki, Z., Krstonošić, D., Purger, D., Šilc, U., Skodová, I., Stančić, Zvjezdana, Willner, W., Botta-Dukát, Z., Čarni, Andraž, Juvan, Nina, and Ribeiro, Daniela

Subjects
vegetation classification
Abstract

The expectations towards broad-scale classifications of phytosociological data are often twofold: they are believed to reveal the most important broad-scale patterns of the vegetation and, at the same time, to test the validity of previously known patterns which were detected during local studies. We studied the relationship between regional and local patterns obtained from such classifications. We compiled a data set of 8033 relevés representing Arrhenatheretalia elatioris and Brometalia erecti grasslands of eight countries in Central Europe (Austria, Croatia, Czech Republic, Germany, Hungary, Poland, Slovakia, Slovenia). This data set was classified by beta-flexible agglomerative method, which served as a ’regional classification’ in the analysis. From this data set, local subsamples containing 50 plots were drawn randomly with a spatial constraint in order to represent variation on smaller areas. Each local subsample was classified by the same method as was the regional data set. The partition divergence measure was calculated between pairs of relevés based on the dendrogram of the regional and of the local classification. The correlation between partition divergence values of the relevés was applied to quantify the degree of matching between the regional and local classifications. We analysed the spatial distribution of the correlation values and tried to explain differences between areas of strong and weak matching between regional and local classifications. For a more detailed testing we ran analyses with reduced regional coverages as well (combining only one or two countries). Correlation values of areas in the western part of the Western Carpathians were the lowest, while high correlations were found at the periphery of the study area. Analyses with reduced extents showed that the position of the areas with the highest and the lowest matching may change if the regional coverage is altered. We found that both the geometry and special features of the study area can affect the matching between regional and local classifications. The centres of study areas tend to show weaker matching than peripherial parts because of the similarity patterns within broad-scale floristic gradients. Local classifications of floristically unique areas and areas with low beta diversity matched well with the regional clustering.

Published
2014

5. Rocky grassland vegetation (Stipo-Festucetalia) of the Pannonian Basin and the Carpathian Mts – biogeographical patterns revealed by semi-supervised classification

Author

Janišová, M., Bauer, N., Botta-Dukát, Z., Čarni, A., Chytrý, M., Coldea, G., Csiky, J., Dúbravková, D., Fenesi, A., Igic, R., Kącki, Z., Kish, R., Korzeniak, J., Krstivojevic, M., Krstonošić, D., Bita-Nicolae, C., Rédei, T., Ruprecht, E., Stančić, Zvjezdana, Škodová, I., Tichý, L., Willner, W., Čarni, Andraž, Juvan, Nina, and Ribeiro, Daniela

Subjects
rocky grassland vegetation
Abstract

Diversity of rocky grassland vegetation of Stipo pulcherrimae-Festucetalia pallentis was studied in the Pannonian Basin and the Carpathian Mts with the main aim to unify the syntaxonomical classification across ten countries. A joint database was established containing all grassland communities within the study area including 40 077 relevés: AT (4235), CZ (6798), HR (1138), HU (4626), PL (3343), RO (2008), RS (820), SI (1290), SK (15 501), UA (318). This large initial data set served as a source of relevés from which the target relevés were selected. Heterogeneityconstrained resampling with the number of selected relevés driven by beta-diversity was applied on the data selection. First, typical relevés of known associations of the Stipo-Festucetalia order were selected by the experts from each involved country and overlaps in the national classifications were indicated and discussed. Then, cores of new associations were searched by the K-means semi-supervised classification method. Distribution of the revised syntaxa showed a clear geographical pattern suggesting existence of geographically and ecologically well-differentiated communities with a specific floristic composition. Based on the obtained results, a new classification scheme was proposed for the Stipo-Festucetalia order in the studied region. Financial support was provided by VEGA 2/0099/13.

Published
2014

6. The Braun-Blanquet project: evaluating and characterizing European vegetation alliances

Author

Jiménez-Alfaro, B., Chytrý, M., Hennekens, S., Knollová, I., Schaminée, J., Agrillo, E., Alessi, N., Greve Alsos, I., Apostolova, I., Attorre, F., Austrheim, G., Bergmeier, E., Biurrun, I., Brisse, H., Brunet, J., Carlón, L., Čarni, A., Csiky, J., Danihelka, J., De Bie, E., de Cáceres, M., Dengler, J., Didukh, Y., Dimopoulos, P., Ejrnaes, R., Fernández González, F., Fitzpatrick, Ú., Font, X., Golub, V., Grytnes, J.‑A., Guarino, R., Indreica, A., Jandt, U., Jansen, F., Kącki, Z., Krstonošić, D., Landucci, F., Lenoir, J., Luoto, M., Lysenko, T., Martynenko, V., Michalcová, D., Novakovskiy, A., Onyshchenko, V., Rodríguez Rojo, M. P., Rodwell, J., Šibík, J., Šilc, U., Škvorc, Ž., Sorokin, A., Stančić, Zvjezdana, Suárez-Seoane, S., Tichý, L., Vandvik, V., Venanzoni, R., Virtanen, R., Willner, W., Yamalov, S., Zobel, M., Čarni, Andraž, Juvan, Nina, and Ribeiro, Daniela

Subjects
vegetation, Europe
Abstract

European tradition on vegetation classification provides an extraordinary legacy for understanding biodiversity. However, this classification lacks explicit data on vegetation attributes, especially if we extend national or regional concepts to a continental perspective. An additional effort for evaluating and characterizing European vegetation types is therefore needed, and the data contained in vegetation databases are probably the main tool for these purposes. The Braun-Blanquet project is an initiative of the European Vegetation Survey for characterizing vegetation alliances across Europe. By analyzing more than 500, 000 vegetation plots from 22 European countries, we developed a framework consisting of: (1) evaluating the consistency and robustness of alliances using the information provided by vegetation plot databases, (2) calibrating assignment rules for classifying, at least partially, the plots not assigned to alliances and (3) characterizing vegetation types by providing lists of diagnostic species and major distributional patterns. The Braun-Blanquet project represents the first attempt for extrapolating European vegetation information into a comprehensive definition of vegetation types. Furthermore, the outputs of the project are expected to improve biodiversity assessment and the conservation management of natural habitats. As a study case, we illustrate how our framework can be used to characterize different forest types across Europe.

Published
2014

7. European Vegetation Archive: now EVA really starts!

Author

Chytrý, M., Hennekens, S., Jiménez-Alfaro, B., Dengler, J., Agrillo, E., Angelini, P., Apostolova, I., Becker, T., Berg, C., Bergmeier, E., Biurrun, I., Botta-Dukát, Z., Carlón, L., Casella, L., Csiky, J., Danihelka, J., Dimopoulos, P., Ewald, J., Fernández-Gonzáles, F., Fitz Patrick, Ú., Font, X., García-Mijangos, I., Golub, V., Guarino, R., Indreica, A., Jandt, U., Jansen, F., Kącki, Z., Kleikamp, M., Knollová, I., Krstonošić, D., Kuzemko, A., Landucci, F., Lenoir, J., Lysenko, T., Marcenò, C., Michalcová, D., Rodwell, J., Rūsiņa, S., Seidler, G., Schaminée, J., Šibík, J., Šilc, U., Sopotlieva, D., Sorokin, A., Spada, F., Stančić, Zvjezdana, Swacha, G., Škvorc, Ž., Tsiripidis, I., Turtureanu, P. D., Valachovič, M., Vassilev, K., Venanzoni, R., Weekes, L., Willner, W., Wohlgemuth, T., Nordic Vegetation Database Consortium, Čarni, Andraž, Juvan, Nina, and Ribeiro, Daniela

Subjects
vegetation database
Abstract

European Vegetation Archive (EVA) was announced as a new initiative of the European Vegetation Survey at the EVS Meeting in Vienna in 2012. The aim of EVA is to create a centralized database of European vegetation plots by storing copies of national and regional databases on a single software platform using a unified taxonomic reference database. EVA does not affect the ongoing independent developments of source databases and it guarantees that data property rights of the original contributors are respected. EVA Data Property and Governance Rules were approved and the EVA website (www.euroveg.org/eva-database) was established in 2012. Since then several European vegetation-plot databases joined EVA. In the framework of the parallel Braun-Blanquet project, we obtained experience with handling multiple databases based on different taxonomies, and a prototype of Turboveg 3 was developed as a software tool for joint management of multiple databases. This prototype has recently been accepted as the platform for technical management of EVA according to the approved Rules. A specific challenge for EVA is joining multiple species lists with different taxonomies used in national and regional databases. To solve this issue, EVA took over the SynBioSys Taxon Database, developed earlier for the SynBioSys Europe project, which is a system of taxon names and concepts used in the individual databases and their matches to a unified list of European flora. This taxon database is currently being extended to account for new vegetation-plot databases and revised by taxonomic experts working in a newly established EVA Taxonomic Advisory Board. These technical developments made it possible that after two years since its formal establishment, first data sets could be uploaded to EVA, forming a basis for large-scale analyses of European vegetation diversity for both scientific purposes and applications.

Published
2014

8. Forest plant community changes in the Spačva lowland area (E Croatia).

Author

Cestarić, D., Škvorc, Ž., Franjić, J., Sever, K., and Krstonošić, D.

Subjects
FORESTS & forestry, PLANT species, ENGLISH oak, VEGETATION dynamics, COMPOSITION of plant roots, PLANT indicators
Abstract

The forests in the Spačva Basin are a complex of lowland forests in the region of Slavonia (eastern Croatia). The present state of the forests is strongly influenced by intensive exploitation and hydro-ameliorative activities carried out in the past. The aim of this study was to consider the extent of changes in species composition, and the extent of environmental changes in forest communities of the Spačva Basin in relation to research conducted between 1969 and 1971. The species composition of four communities (Carpino betuli-Quercetum roboris,Genisto elatae-Quercetum roboris aceretosum tatarici,andcaricetosum remotae, andLeucojo-Fraxinetum angustifoliae) is studied by comparing 41 old and 57 new relevés. Changes were estimated using ordinations (RDA, CCA, DCA) and changes in species frequency and cover. A general trend of moisture reduction was noticeable among all communities. All vegetation types are becoming floristically more similar. An increase in frequency and cover of flood intolerant woody species (such asCarpinus betulus,Cornus sanguinea,Tilia tomentosa,andAcer tataricum) as well as a decrease of vernal species related to wet habitats are particularly evident. The succession of all studied communities is resulting in loss of the mosaic community pattern characteristic of lowland alluvial forests. [ABSTRACT FROM PUBLISHER]

Published
2017
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10. sPlot – A new tool for global vegetation analyses

Author

Bruelheide H., Dengler J., Jiménez-Alfaro B., Purschke O., Hennekens S., Chytrý M., Pillar V., Jansen F., Kattge J., Sandel B., Aubin I., Biurrun I., Field R., Haider S., Jandt U., Lenoir J., Peet R., Peyre G., Sabatini F., Schmidt M., Schrodt F., Winter M., Aćić S., Agrillo E., Alvarez M., Ambarlı D., Angelini P., Apostolova I., Arfin Khan M., Arnst E., Attorre F., Baraloto C., Beckmann M., Berg C., Bergeron Y., Bergmeier E., Bjorkman A., Bondareva V., Borchardt P., Botta-Dukát Z., Boyle B., Breen A., Brisse H., Byun C., Cabido M., Casella L., Cayuela L., Černý T., Chepinoga V., Csiky J., Curran M., Ćušterevska R., Dajić Stevanović Z., De Bie E., de Ruffray P., De Sanctis M., Dimopoulos P., Dressler S., Ejrnæs R., El-Sheikh M., Enquist B., Ewald J., Fagúndez J., Finckh M., Font X., Forey E., Fotiadis G., García-Mijangos I., de Gasper A., Golub V., Gutierrez A., Hatim M., He T., Higuchi P., Holubová D., Hölzel N., Homeier J., Indreica A., Işık Gürsoy D., Jansen S., Janssen J., Jedrzejek B., Jiroušek M., Jürgens N., Kącki Z., Kavgacı A., Kearsley E., Kessler M., Knollová I., Kolomiychuk V., Korolyuk A., Kozhevnikova M., Kozub Ł., Krstonošić D., Kühl H., Kühn I., Kuzemko A., Küzmič F., Landucci F., Lee M., Bruelheide H., Dengler J., Jiménez-Alfaro B., Purschke O., Hennekens S., Chytrý M., Pillar V., Jansen F., Kattge J., Sandel B., Aubin I., Biurrun I., Field R., Haider S., Jandt U., Lenoir J., Peet R., Peyre G., Sabatini F., Schmidt M., Schrodt F., Winter M., Aćić S., Agrillo E., Alvarez M., Ambarlı D., Angelini P., Apostolova I., Arfin Khan M., Arnst E., Attorre F., Baraloto C., Beckmann M., Berg C., Bergeron Y., Bergmeier E., Bjorkman A., Bondareva V., Borchardt P., Botta-Dukát Z., Boyle B., Breen A., Brisse H., Byun C., Cabido M., Casella L., Cayuela L., Černý T., Chepinoga V., Csiky J., Curran M., Ćušterevska R., Dajić Stevanović Z., De Bie E., de Ruffray P., De Sanctis M., Dimopoulos P., Dressler S., Ejrnæs R., El-Sheikh M., Enquist B., Ewald J., Fagúndez J., Finckh M., Font X., Forey E., Fotiadis G., García-Mijangos I., de Gasper A., Golub V., Gutierrez A., Hatim M., He T., Higuchi P., Holubová D., Hölzel N., Homeier J., Indreica A., Işık Gürsoy D., Jansen S., Janssen J., Jedrzejek B., Jiroušek M., Jürgens N., Kącki Z., Kavgacı A., Kearsley E., Kessler M., Knollová I., Kolomiychuk V., Korolyuk A., Kozhevnikova M., Kozub Ł., Krstonošić D., Kühl H., Kühn I., Kuzemko A., Küzmič F., Landucci F., and Lee M.

Abstract

© 2019 International Association for Vegetation Science Aims: Vegetation-plot records provide information on the presence and cover or abundance of plants co-occurring in the same community. Vegetation-plot data are spread across research groups, environmental agencies and biodiversity research centers and, thus, are rarely accessible at continental or global scales. Here we present the sPlot database, which collates vegetation plots worldwide to allow for the exploration of global patterns in taxonomic, functional and phylogenetic diversity at the plant community level. Results: sPlot version 2.1 contains records from 1,121,244 vegetation plots, which comprise 23,586,216 records of plant species and their relative cover or abundance in plots collected worldwide between 1885 and 2015. We complemented the information for each plot by retrieving climate and soil conditions and the biogeographic context (e.g., biomes) from external sources, and by calculating community-weighted means and variances of traits using gap-filled data from the global plant trait database TRY. Moreover, we created a phylogenetic tree for 50,167 out of the 54,519 species identified in the plots. We present the first maps of global patterns of community richness and community-weighted means of key traits. Conclusions: The availability of vegetation plot data in sPlot offers new avenues for vegetation analysis at the global scale.

11. European Vegetation Archive (EVA): An integrated database of European vegetation plots

Author

Chytrý M., Hennekens S., Jiménez-Alfaro B., Knollová I., Dengler J., Jansen F., Landucci F., Schaminée J., Aćić S., Agrillo E., Ambarli D., Angelini P., Apostolova I., Attorre F., Berg C., Bergmeier E., Biurrun I., Botta-Dukát Z., Brisse H., Campos J., Carlón L., Čarni A., Casella L., Csiky J., Ćušterevska R., Dajić Stevanović Z., Danihelka J., De Bie E., de Ruffray P., De Sanctis M., Dickoré W., Dimopoulos P., Dubyna D., Dziuba T., Ejrnæs R., Ermakov N., Ewald J., Fanelli G., Fernández-González F., Fitzpatrick Ú., Font X., García-Mijangos I., Gavilán R., Golub V., Guarino R., Haveman R., Indreica A., Işik Gürsoy D., Jandt U., Janssen J., Jiroušek M., Kacki Z., Kavgaci A., Kleikamp M., Kolomiychuk V., Krstivojević Ćuk M., Krstonošić D., Kuzemko A., Lenoir J., Lysenko T., Marcenò C., Martynenko V., Michalcová D., Moeslund J., Onyshchenko V., Pedashenko H., Pérez-Haase A., Peterka T., Prokhorov V., Rašomavičius V., Rodríguez-Rojo M., Rodwell J., Rogova T., Ruprecht E., Rusiņa S., Seidler G., Šibík J., Šilc U., Škvorc Ž., Sopotlieva D., Stančić Z., Svenning J., Swacha G., Tsiripidis I., Turtureanu P., Uğurlu E., Uogintas D., Valachovič M., Vashenyak Y., Vassilev K., Venanzoni R., Virtanen R., Weekes L., Willner W., Wohlgemuth T., Yamalov S., Chytrý M., Hennekens S., Jiménez-Alfaro B., Knollová I., Dengler J., Jansen F., Landucci F., Schaminée J., Aćić S., Agrillo E., Ambarli D., Angelini P., Apostolova I., Attorre F., Berg C., Bergmeier E., Biurrun I., Botta-Dukát Z., Brisse H., Campos J., Carlón L., Čarni A., Casella L., Csiky J., Ćušterevska R., Dajić Stevanović Z., Danihelka J., De Bie E., de Ruffray P., De Sanctis M., Dickoré W., Dimopoulos P., Dubyna D., Dziuba T., Ejrnæs R., Ermakov N., Ewald J., Fanelli G., Fernández-González F., Fitzpatrick Ú., Font X., García-Mijangos I., Gavilán R., Golub V., Guarino R., Haveman R., Indreica A., Işik Gürsoy D., Jandt U., Janssen J., Jiroušek M., Kacki Z., Kavgaci A., Kleikamp M., Kolomiychuk V., Krstivojević Ćuk M., Krstonošić D., Kuzemko A., Lenoir J., Lysenko T., Marcenò C., Martynenko V., Michalcová D., Moeslund J., Onyshchenko V., Pedashenko H., Pérez-Haase A., Peterka T., Prokhorov V., Rašomavičius V., Rodríguez-Rojo M., Rodwell J., Rogova T., Ruprecht E., Rusiņa S., Seidler G., Šibík J., Šilc U., Škvorc Ž., Sopotlieva D., Stančić Z., Svenning J., Swacha G., Tsiripidis I., Turtureanu P., Uğurlu E., Uogintas D., Valachovič M., Vashenyak Y., Vassilev K., Venanzoni R., Virtanen R., Weekes L., Willner W., Wohlgemuth T., and Yamalov S.

Abstract

© 2016 International Association for Vegetation Science. 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.

12. European Vegetation Archive (EVA): An integrated database of European vegetation plots

Author

Chytrý M., Hennekens S., Jiménez-Alfaro B., Knollová I., Dengler J., Jansen F., Landucci F., Schaminée J., Aćić S., Agrillo E., Ambarli D., Angelini P., Apostolova I., Attorre F., Berg C., Bergmeier E., Biurrun I., Botta-Dukát Z., Brisse H., Campos J., Carlón L., Čarni A., Casella L., Csiky J., Ćušterevska R., Dajić Stevanović Z., Danihelka J., De Bie E., de Ruffray P., De Sanctis M., Dickoré W., Dimopoulos P., Dubyna D., Dziuba T., Ejrnæs R., Ermakov N., Ewald J., Fanelli G., Fernández-González F., Fitzpatrick Ú., Font X., García-Mijangos I., Gavilán R., Golub V., Guarino R., Haveman R., Indreica A., Işik Gürsoy D., Jandt U., Janssen J., Jiroušek M., Kacki Z., Kavgaci A., Kleikamp M., Kolomiychuk V., Krstivojević Ćuk M., Krstonošić D., Kuzemko A., Lenoir J., Lysenko T., Marcenò C., Martynenko V., Michalcová D., Moeslund J., Onyshchenko V., Pedashenko H., Pérez-Haase A., Peterka T., Prokhorov V., Rašomavičius V., Rodríguez-Rojo M., Rodwell J., Rogova T., Ruprecht E., Rusiņa S., Seidler G., Šibík J., Šilc U., Škvorc Ž., Sopotlieva D., Stančić Z., Svenning J., Swacha G., Tsiripidis I., Turtureanu P., Uğurlu E., Uogintas D., Valachovič M., Vashenyak Y., Vassilev K., Venanzoni R., Virtanen R., Weekes L., Willner W., Wohlgemuth T., Yamalov S., Chytrý M., Hennekens S., Jiménez-Alfaro B., Knollová I., Dengler J., Jansen F., Landucci F., Schaminée J., Aćić S., Agrillo E., Ambarli D., Angelini P., Apostolova I., Attorre F., Berg C., Bergmeier E., Biurrun I., Botta-Dukát Z., Brisse H., Campos J., Carlón L., Čarni A., Casella L., Csiky J., Ćušterevska R., Dajić Stevanović Z., Danihelka J., De Bie E., de Ruffray P., De Sanctis M., Dickoré W., Dimopoulos P., Dubyna D., Dziuba T., Ejrnæs R., Ermakov N., Ewald J., Fanelli G., Fernández-González F., Fitzpatrick Ú., Font X., García-Mijangos I., Gavilán R., Golub V., Guarino R., Haveman R., Indreica A., Işik Gürsoy D., Jandt U., Janssen J., Jiroušek M., Kacki Z., Kavgaci A., Kleikamp M., Kolomiychuk V., Krstivojević Ćuk M., Krstonošić D., Kuzemko A., Lenoir J., Lysenko T., Marcenò C., Martynenko V., Michalcová D., Moeslund J., Onyshchenko V., Pedashenko H., Pérez-Haase A., Peterka T., Prokhorov V., Rašomavičius V., Rodríguez-Rojo M., Rodwell J., Rogova T., Ruprecht E., Rusiņa S., Seidler G., Šibík J., Šilc U., Škvorc Ž., Sopotlieva D., Stančić Z., Svenning J., Swacha G., Tsiripidis I., Turtureanu P., Uğurlu E., Uogintas D., Valachovič M., Vashenyak Y., Vassilev K., Venanzoni R., Virtanen R., Weekes L., Willner W., Wohlgemuth T., and Yamalov S.

Abstract

© 2016 International Association for Vegetation Science. 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.

13. Climate change impact assessment with regards to the potential natural vegetation of Hungary and the role of the Balkan vegetation-environment patterns in the assessment

Author

Somodi, Imelda, Bede-Fazekas, Ákos, Čarni, Andraž, Ćuk, Mirjana, Galić, Zoran, Gyalus, Adrienn, Kiš, Alen, Laborczi, Annamária, Pásztor, László, Pilaš, Ivan, Szabados, Klára, Szatmári, Gábor, Vitasović Kosić, Ivana, Jasprica, N., Škvorc, Ž., and Krstonošić, D.

Subjects
climate change, impact assessment, MPNV, predictive vegetation maps, training area
Abstract

Potential natural vegetation (PNV) expresses the site potential for vegetation types regarding self-sustainability without active human management. Multiple PNV (MPNV) provides further details by assessing this potential as a probability distribution of vegetation types. MPNV models for Hungary have been developed by gradient boosting to establish preference relationships between the abiotic background and observed distribution of vegetation types. Through updating climate conditions within the abiotic background in the models they also offer the opportunity to assess future MPNV under climate change scenarios. Differences between contemporary and future MPNV reveal the expected impact. Our existing assessment already reveals significant changes in potential vegetation type distributions. However, climate change introduces environmental conditions suitable for vegetation types currently not present in Hungary, training the model within the boundaries of Hungary only becomes insufficient. Therefore, we started to extend the training area to include vegetation- environment relationships from the southern neighbourhood. As a foundation to this we initiated studies of model transferability in the southern Pannonian region. The project will provide improved basis for the prediction of expected climate change impact within Hungary and allow the first steps of impact assessment in the southern countries.

Published
2022

14. Representativeness of actual vegetation maps – GAP analysis for lowland Croatia

Author

Vitasović Kosić, Ivana, Pilaš, Ivan, Bede-Fazekas, Ákos, Gyalus, Adrienn, Somodi, Imelda, Jasprica, N., Škvorc, Ž., and Krstonošić, D.

Subjects
connectivity, environmental gradients, gap analysis, potential natural vegetation, vegetation mapping
Abstract

Actual vegetation maps depicting the contemporary distribution of vegetation types are important input of a wide range of ecological analyses, such as predictive mapping including modelling the potential natural vegetation, connectivity analyses and also that of conservation planning. Large-scale modelling campaigns cannot carry out extensive vegetation mappings in the typically limited time frames, thus they naturally rely on existing maps. However, vegetation mappings are carried out for a range of purposes, which does not necessarily ensure representativeness. We collected existing vegetation maps from lowland Croatia and analyzed them with regards to representativeness of vegetation types regarding their distribution in the geographic and environmental space. The spatial range was restricted to the Croatian lowlands neighbouring Hungary in the current analysis. Data availability was mapped for individual vegetation types as the distance to the closest mapped stand (also an inverse proxy of connectivity). Environmental space considered included climatic, topographic, soil and water availability gradients. Frequency of vegetation type occurrences was identified along sections of the gradient. The gaps discovered will be utilized in planning a field campaign to complement the existing vegetation maps so as to achieve representativeness. This way they will also feed into the validation of potential natural vegetation models of the area.

Published
2022

15. European Vegetation Archive (EVA): an integrated database of European vegetation plots

Author

Ioannis Tsiripidis, Dmytro Dubyna, Emin Uğurlu, Federico Fernández-González, Svetlana Aćić, Valerijus Rašomavičius, Anna Kuzemko, Jiří Danihelka, Wolfgang Willner, Christian Berg, Mirjana Ćuk, Pavel Dan Turtureanu, Erwin Bergmeier, Aaron Pérez-Haase, Vadim Prokhorov, Deniz Işık Gürsoy, Zoltán Botta-Dukát, Hristo Pedashenko, John Janssen, Martin Kleikamp, Thomas Wohlgemuth, Martin Jiroušek, S. M. Yamalov, Viktor Onyshchenko, Ilona Knollová, Urban Šilc, Jörg Ewald, Henry Brisse, Xavier Font, Didem Ambarlı, John S. Rodwell, Andraž Čarni, Tatiana Rogova, Lynda Weekes, Solvita Rūsiņa, Gunnar Seidler, Tetiana Dziuba, Milan Chytrý, Desislava Sopotlieva, Risto Virtanen, Nikolai Ermakov, Riccardo Guarino, Maria Pilar Rodríguez-Rojo, Florian Jansen, Michele De Sanctis, Zygmunt Kącki, Domas Uogintas, Itziar García-Mijangos, Ute Jandt, Jürgen Dengler, Úna FitzPatrick, Jens-Christian Svenning, Eszter Ruprecht, Idoia Biurrun, Kiril Vassilev, Borja Jiménez-Alfaro, Stephan M. Hennekens, Tomáš Peterka, Laura Casella, Zvjezdana Stančić, Jonathan Lenoir, Iva Apostolova, Flavia Landucci, Milan Valachovič, Fabio Attorre, Joop H.J. Schaminée, Renata Ćušterevska, Corrado Marcenò, Valentin Golub, Grzegorz Swacha, János Csiky, Patrice de Ruffray, Tatiana Lysenko, Vitaliy Kolomiychuk, Rense Haveman, Luis Carlón, Emiliano Agrillo, Ali Kavgaci, W. Bernhard Dickoré, Els De Bie, Željko Škvorc, Vassiliy Martynenko, Dana Michalcová, Roberto Venanzoni, Rosario G. Gavilán, Jesper Erenskjold Moeslund, Pierangela Angelini, Giuliano Fanelli, Jozef Šibík, Juan Antonio Campos, Yulia Vashenyak, Rasmus Ejrnæs, Adrian Indreica, Panayotis Dimopoulos, Daniel Krstonošić, Zora Dajić Stevanović, Chytrý, M., Hennekens, S., Jiménez-Alfaro, B., Knollová, I., Dengler, J., Jansen, F., Landucci, F., Schaminée, J., Aćić, S., Agrillo, E., Ambarlı, D., Angelini, P., Apostolova, I., Attorre, F., Berg, C., Bergmeier, E., Biurrun, I., Botta-Dukát, Z., Brisse, H., Campos, J., Carlón, L., Čarni, A., Casella, L., Csiky, J., Ćušterevska, R., Dajić Stevanović, Z., Danihelka, J., De Bie, E., de Ruffray, P., De Sanctis, M., Dickoré, W., Dimopoulos, P., Dubyna, D., Dziuba, T., Ejrnaes, R., Ermakov, N., Ewald, J., Fanelli, G., Fernández-González, F., Fitzpatrick, Ú., Font, X., García-Mijangos, I., Gavilán, R., Golub, V., Guarino, R., Haveman, R., Indreica, A., Işık Gürsoy, D., Jandt, U., Janssen, J., Jiroušek, M., Kącki, Z., Kavgacı, A., Kleikamp, M., Kolomiychuk, V., Krstivojević Ćuk, M., Krstonošić, D., Kuzemko, A., Lenoir, J., Lysenko, T., Marcenò, C., Martynenko, V., Michalcová, D., Moeslund, J., Onyshchenko, V., Pedashenko, H., Pérez-Haase, A., Peterka, T., Prokhorov, V., Rašomavičius, V., Rodríguez-Rojo, M., Rodwell, J., Rogova, T., Ruprecht, E., Rūsiņa, S., Seidler, G., Šibík, J., Šilc, U., Škvorc, Ž., Sopotlieva, D., Stančić, Z., Svenning, J., Swacha, G., Tsiripidis, I., Turtureanu, P., Uğurlu, E., Uogintas, D., Valachovič, M., Vashenyak, Y., Vassilev, K., Venanzoni, R., Virtanen, R., Weekes, L., Willner, W., Wohlgemuth, T., Yamalov, S., and Universitat de Barcelona

Subjects
0106 biological sciences, International Association for Vegetation Science, Bos- en Landschapsecologie, Ecoinformatic, 01 natural sciences, Ecoinformatics, Forest and Landscape Ecology, Vegetació, Ecology, Environmental resource management, PE&RC, Vegetation plot, Europe, Centralized database, Geography, Cartografia de la vegetació, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, medicine.symptom, Geographic coordinate system, Europa, Releve, Plant Ecology and Nature Conservation, European Vegetation Survey, Management, Monitoring, Policy and Law, Biodiversity informatics, 010603 evolutionary biology, Plot (graphics), Relevé, Database, Phytosociological data, Vegetation database, medicine, biodiversity informatics, database, ecoinformatics, european vegetation survey, international association for vegetation science, phytosociological data, relevé, vegetation database, vegetation plot, ecology, nature and landscape conservation, management, monitoring, policy and law, Vegetatie, Nature and Landscape Conservation, Vegetation mapping, Vegetation, business.industry, 15. Life on land, Defensie, Taxon, Biodiversity informatic, Integrated database, Vegetation, Forest and Landscape Ecology, business, Vegetation (pathology), 010606 plant biology & botany
Abstract

Biurrun, Idoia/0000-0002-1454-0433; Rojo, Maria Pilar Rodriguez/0000-0001-5449-9386; Ermakov, Nikolai/0000-0001-7550-990X; De Sanctis, Michele/0000-0002-7280-6199; Svenning, Jens-Christian/0000-0002-3415-0862; Virtanen, Risto/0000-0002-8295-8217; Agrillo, Emiliano/0000-0003-2346-8346; Onyshchenko, Viktor/0000-0001-9079-7241; Marceno, Corrado/0000-0003-4361-5200; Willner, Wolfgang/0000-0003-1591-8386; Fernandez-Gonzalez, Federico/0000-0003-1234-4065; Jansen, Florian/0000-0002-0331-5185; Swacha, Grzegorz/0000-0002-6380-2954; Dengler, Jurgen/0000-0003-3221-660X; Guarino, Riccardo/0000-0003-0106-9416; Sopotlieva, Desislava/0000-0002-9281-7039; Venanzoni, Roberto/0000-0002-7768-0468; Chytry, Milan/0000-0002-8122-3075; Kuzemko, Anna/0000-0002-9425-2756; Danihelka, Jiri/0000-0002-2640-7867; Kuzemko, Anna/0000-0002-9425-2756; Venanzoni, Roberto/0000-0002-7768-0468; Gavilan, Rosario G./0000-0002-1022-445X; Jansen, Florian/0000-0002-0331-5185; Wohlgemuth, Thomas/0000-0002-4623-0894; Svenning, Jens-Christian/0000-0002-3415-0862; Sibik, Jozef/0000-0002-5949-862X; Casella, Laura/0000-0003-2550-3010; Lenoir, Jonathan/0000-0003-0638-9582; Attorre, Fabio/0000-0002-7744-2195; Kacki, Zygmunt/0000-0002-2241-1631; Jandt, Ute/0000-0002-3177-3669; Carni, Andraz/0000-0002-8909-4298; Jirousek, Martin/0000-0002-4293-478X; GARCIA-MIJANGOS, ITZIAR/0000-0002-6642-7782; Campos, Juan Antonio/0000-0001-5992-2753; Fanelli, Giuliano/0000-0002-3143-1212; Haveman, Rense/0000-0001-9127-4549; Acic, Svetlana/0000-0001-6553-3797; De Bie, Els/0000-0001-7679-743X; Font, Xavier/0000-0002-7253-8905; Moeslund, Jesper Erenskjold/0000-0001-8591-7149; Martynenko, Vasiliy/0000-0002-9071-3789; Jimenez-Alfaro, Borja/0000-0001-6601-9597; Ejrnaes, Rasmus/0000-0003-2538-8606; Carlon Ruiz, Luis/0000-0003-3442-8710; Angelini, Pierangela/0000-0002-5321-9757; Silc, Urban/0000-0002-3052-699X; Landucci, Flavia/0000-0002-6848-0384; Ewald, Jorg/0000-0002-2758-9324; Dziuba, Tetiana/0000-0001-8621-0890 WOS: 000368074600018 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. Czech Science Foundation (Centre of Excellence PLADIAS) [14-36079G] Our major thanks go to thousands of European vegetation scientists of several generations who collected the original vegetation-plot data in the field, published them or made their unpublished data available to others, and to those who spent myriad hours digitizing data and managing the contributing databases. EVA data management has been partly funded by the Czech Science Foundation (Centre of Excellence PLADIAS, 14-36079G).

Published
2016
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16. Morphological variability of Ulmus glabra Huds. in Lika and Gorski kotar, Croatia

Author

Zebec Marko, Idžojtić Marilena, Poljak Igor, Ines Modrić, and Škvorc, Ž., Franjić, J., Krstonošić, D.

Subjects
Ulmus glabra, morphological variability, foliar traits, Croatia
Abstract

The wych elm (Ulmus glabra Huds.) is a very valuable, noble hardwood species, taxonomically allocated to Ulmaceae family. It has northernmost distribution in relation to other European species of elm trees. According to phytocoenological determination, it is a typical tree of the zonal, mesophilic and rarely of the thermophilic beech forests, whereas it is a characteristic species in azonal communities of Tilio platyphylli-Acerion pseudoplatani alliance. The wych elm in Croatia occupies a specific ecological niche, and there is no possibility of creating hybrid swarms with the field elm, as is the case in the northern Europe. On the basis of 10 foliar morphological traits, by means of modern statistical methods, our goal was to assess interpopulation and intrapopulation variability of the wych elm. Material for the morphometric analysis was collected in 4 natural populations (Delnice, Vrbovsko, Otočac, Gospić) in the areas of Lika and Gorski kotar in Croatia. Although sampled populations were heavily compromised by the Dutch elm disease, our results suggest high variability of the observed morphological traits. Overall variability coefficient ranged from 11, 94 % for angle between the main leaf vein and the line defined by the leaf base, and the point of the leaf edge where leaf lamina is widest to 52, 94 % for the leaf base asymmetry trait. Partitioning of variance showed that differences among trees in a single population accounted for the most of variability determined, while the remaining component, the amount of variation attributable to differences among populations, was considerably smaller. From the UPGMA dendrogram it was evident that according to the researched leaf traits the most similar populations were Delnice and Vrbovsko, followed by population Otočac. The southernmost and geographically most distant population Gospić proved to be morphologically significantly different from the other three populations, which was particulary evident in relation to Delnice and Vrbovsko population.

Published
2015

17. Photosynthetic Response to Phosphorus Fertilization in Drought-Stressed Common Beech and Sessile Oak from Different Provenances.

Author

Vukmirović A, Škvorc Ž, Bogdan S, Krstonošić D, Bogdan IK, Karažija T, Bačurin M, Brener M, and Sever K

Abstract

Increasingly frequent and severe droughts pose significant threats to forest ecosystems, particularly affecting photosynthesis, a crucial physiological process for plant growth and biomass production. This study investigates the impact of phosphorus fertilization on the photosynthesis of common beech ( Fagus sylvatica L.) and sessile oak ( Quercus petraea (Matt.) Liebl.). In a common garden experiment, saplings originating from two provenances (wetter KA and drier SB provenances) were exposed to regular watering and drought in interaction with moderate and high phosphorus concentrations in the growing substrate. Results indicated that drought significantly reduced pre-dawn leaf water potential (Ψ PD ), net photosynthesis (A net ), stomatal conductance (g s ) and photosynthetic performance index (PI abs ) in both species. Phosphorus fertilization had a negative impact on A net and PI abs , thus exacerbating the negative impact of drought on photosynthetic efficiency, potentially due to excessive phosphorus absorption by saplings. Provenance differences were notable, with the KA provenance showing better drought resilience. This research highlights the complexity of nutrient-drought interactions and underscores the need for cautious application of fertilization strategies in reforestation efforts under changing climatic conditions.

Published
2024
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18. Different Ecological Niches of Poisonous Aristolochia clematitis in Central and Marginal Distribution Ranges-Another Contribution to a Better Understanding of Balkan Endemic Nephropathy.

Author

Brzić I, Brener M, Čarni A, Ćušterevska R, Čulig B, Dziuba T, Golub V, Irimia I, Jelaković B, Kavgacı A, Krstivojević Ćuk M, Krstonošić D, Stupar V, Trobonjača Z, and Škvorc Ž

Abstract

Aristolochia clematitis L. is a perennial herbaceous plant distributed throughout Europe, Asia Minor and Caucasus. It has been used as a medicinal plant since antiquity but not in recent times because it contains poisonous aristolochic acid, causing progressive kidney failure. The aim of this work was to study Aristolochia clematitis ecology on the basis of vegetation plots from the European Vegetation Archive, and to investigate the differentiation of its ecological niche using a co-occurrence-based measure of ecological specialization (ESI). The ecological niche was studied on three spatial scales: on the entire distribution area, its differentiation across 200 × 200 km grid cells and the differences between three central and three marginal regions. Our results suggest that Aristolochia clematitis has a very broad ecological niche occurring in a range of different habitats and climatic conditions, with a trend of a niche width decrease with the distance from the geographical center. The plant prefers more stable communities with less anthropogenic influence moving towards the margin of the distribution area. Specialization towards the marginal area is a result of evolutionary history, which refers to the recent anthropogenically induced spread from its original home range. A high incidence of Aristolochia clematitis in the vegetation of arable lands and market gardens as well as anthropogenic herbaceous vegetation in the distribution center corresponds to the geographical incidence of Balkan Endemic Nephropathy.

Published
2023
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19. A higher-level classification of the Pannonian and western Pontic steppe grasslands (Central and Eastern Europe).

Author

Willner W, Kuzemko A, Dengler J, Chytrý M, Bauer N, Becker T, Biţă-Nicolae C, Botta-Dukát Z, Čarni A, Csiky J, Igić R, Kącki Z, Korotchenko I, Kropf M, Krstivojević-Ćuk M, Krstonošić D, Rédei T, Ruprecht E, Schratt-Ehrendorfer L, Semenishchenkov Y, Stančić Z, Vashenyak Y, Vynokurov D, and Janišová M

Abstract

Questions: What are the main floristic patterns in the Pannonian and western Pontic steppe grasslands? What are the diagnostic species of the major subdivisions of the class Festuco-Brometea (temperate Euro-Siberian dry and semi-dry grasslands)?, Location: Carpathian Basin (E Austria, SE Czech Republic, Slovakia, Hungary, Romania, Slovenia, N Croatia and N Serbia), Ukraine, S Poland and the Bryansk region of W Russia., Methods: We applied a geographically stratified resampling to a large set of relevés containing at least one indicator species of steppe grasslands. The resulting data set of 17 993 relevés was classified using the TWINSPAN algorithm. We identified groups of clusters that corresponded to the class Festuco-Brometea . After excluding relevés not belonging to our target class, we applied a consensus of three fidelity measures, also taking into account external knowledge, to establish the diagnostic species of the orders of the class. The original TWINSPAN divisions were revised on the basis of these diagnostic species., Results: The TWINSPAN classification revealed soil moisture as the most important environmental factor. Eight out of 16 TWINSPAN groups corresponded to Festuco-Brometea . A total of 80, 32 and 58 species were accepted as diagnostic for the orders Brometalia erecti , Festucetalia valesiacae and Stipo-Festucetalia pallentis , respectively. In the further subdivision of the orders, soil conditions, geographic distribution and altitude could be identified as factors driving the major floristic patterns., Conclusions: We propose the following classification of the Festuco-Brometea in our study area: (1) Brometalia erecti (semi-dry grasslands) with Scabioso ochroleucae-Poion angustifoliae (steppe meadows of the forest zone of E Europe) and Cirsio-Brachypodion pinnati (meadow steppes on deep soils in the forest-steppe zone of E Central and E Europe); (2) Festucetalia valesiacae (grass steppes) with Festucion valesiacae (grass steppes on less developed soils in the forest-steppe zone of E Central and E Europe) and Stipion lessingianae (grass steppes in the steppe zone); (3) Stipo-Festucetalia pallentis (rocky steppes) with Asplenio septentrionalis-Festucion pallentis (rocky steppes on siliceous and intermediate soils), Bromo-Festucion pallentis (thermophilous rocky steppes on calcareous soils), Diantho-Seslerion (dealpine Sesleria caerulea grasslands of the Western Carpathians) and Seslerion rigidae (dealpine Sesleria rigida grasslands of the Romanian Carpathians).

Published
2017
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