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23 results on '"Knollová, I."'

1. ReSurveyEurope: A database of resurveyed vegetation plots in Europe

Author

Knollová, I., Chytrý, M., Bruelheide, H., Dullinger, S., Jandt, U., Bernhardt-Römermann, M., Biurrun, I., Roscher, Christiane, Rosenthal, G., et al., Knollová, I., Chytrý, M., Bruelheide, H., Dullinger, S., Jandt, U., Bernhardt-Römermann, M., Biurrun, I., Roscher, Christiane, and Rosenthal, G., et al.

Abstract

Aims We introduce ReSurveyEurope — a new data source of resurveyed vegetation plots in Europe, compiled by a collaborative network of vegetation scientists. We describe the scope of this initiative, provide an overview of currently available data, governance, data contribution rules, and accessibility. In addition, we outline further steps, including potential research questions. Results ReSurveyEurope includes resurveyed vegetation plots from all habitats. Version 1.0 of ReSurveyEurope contains 283,135 observations (i.e., individual surveys of each plot) from 79,190 plots sampled in 449 independent resurvey projects. Of these, 62,139 (78%) are permanent plots, that is, marked in situ, or located with GPS, which allow for high spatial accuracy in resurvey. The remaining 17,051 (22%) plots are from studies in which plots from the initial survey could not be exactly relocated. Four data sets, which together account for 28,470 (36%) plots, provide only presence/absence information on plant species, while the remaining 50,720 (64%) plots contain abundance information (e.g., percentage cover or cover–abundance classes such as variants of the Braun-Blanquet scale). The oldest plots were sampled in 1911 in the Swiss Alps, while most plots were sampled between 1950 and 2020. Conclusions ReSurveyEurope is a new resource to address a wide range of research questions on fine-scale changes in European vegetation. The initiative is devoted to an inclusive and transparent governance and data usage approach, based on slightly adapted rules of the well-established European Vegetation Archive (EVA). ReSurveyEurope data are ready for use, and proposals for analyses of the data set can be submitted at any time to the coordinators. Still, further data contributions are highly welcome.

Published
2024

2. EUNIS Habitat Classification: Expert system, characteristic species combinations and distribution maps of European habitats

Author

Chytrý, M., Tichý, L., Hennekens, S.M., Knollová, I., Janssen, J.A.M., Rodwell, J.S., Peterka, T., Marcenò, C., Landucci, F., Danihelka, J., Hájek, M., Dengler, J., Novák, P., Zukal, D., Jiménez‐Alfaro, B., Mucina, L., Abdulhak, S., Aćić, S., Agrillo, E., Attorre, F., Bergmeier, E., Biurrun, I., Boch, S., Bölöni, J., Bonari, G., Braslavskaya, T., Bruelheide, H., Campos, J.A., Čarni, A., Casella, L., Ćuk, M., Ćušterevska, R., De Bie, E., Delbosc, P., Demina, O., Didukh, Y., Dítě, D., Dziuba, T., Ewald, J., Gavilán, R.G., Gégout, J‐C, Giusso del Galdo, G.P., Golub, V., Goncharova, N., Goral, F., Graf, U., Indreica, A., Isermann, M., Jandt, U., Jansen, F., Jansen, J., Jašková, A., Jiroušek, M., Kącki, Z., Kalníková, V., Kavgacı, A., Khanina, L., Yu. Korolyuk, A., Kozhevnikova, M., Kuzemko, A., Küzmič, F., Kuznetsov, O.L., Laiviņš, M., Lavrinenko, I., Lavrinenko, O., Lebedeva, M., Lososová, Z., Lysenko, T., Maciejewski, L., Mardari, C., Marinšek, A., Napreenko, M.G., Onyshchenko, V., Pérez‐Haase, A., Pielech, R., Prokhorov, V., Rašomavičius, V., Rodríguez Rojo, M.P., Rūsiņa, S., Schrautzer, J., Šibík, J., Šilc, U., Škvorc, Ž., Smagin, V.A., Stančić, Z., Stanisci, A., Tikhonova, E., Tonteri, T., Uogintas, D., Valachovič, M., Vassilev, K., Vynokurov, D., Willner, W., Yamalov, S., Evans, D., Palitzsch Lund, M., Spyropoulou, R., Tryfon, E., Schaminée, J.H.J., Schmidtlein, S., Chytrý, M., Tichý, L., Hennekens, S.M., Knollová, I., Janssen, J.A.M., Rodwell, J.S., Peterka, T., Marcenò, C., Landucci, F., Danihelka, J., Hájek, M., Dengler, J., Novák, P., Zukal, D., Jiménez‐Alfaro, B., Mucina, L., Abdulhak, S., Aćić, S., Agrillo, E., Attorre, F., Bergmeier, E., Biurrun, I., Boch, S., Bölöni, J., Bonari, G., Braslavskaya, T., Bruelheide, H., Campos, J.A., Čarni, A., Casella, L., Ćuk, M., Ćušterevska, R., De Bie, E., Delbosc, P., Demina, O., Didukh, Y., Dítě, D., Dziuba, T., Ewald, J., Gavilán, R.G., Gégout, J‐C, Giusso del Galdo, G.P., Golub, V., Goncharova, N., Goral, F., Graf, U., Indreica, A., Isermann, M., Jandt, U., Jansen, F., Jansen, J., Jašková, A., Jiroušek, M., Kącki, Z., Kalníková, V., Kavgacı, A., Khanina, L., Yu. Korolyuk, A., Kozhevnikova, M., Kuzemko, A., Küzmič, F., Kuznetsov, O.L., Laiviņš, M., Lavrinenko, I., Lavrinenko, O., Lebedeva, M., Lososová, Z., Lysenko, T., Maciejewski, L., Mardari, C., Marinšek, A., Napreenko, M.G., Onyshchenko, V., Pérez‐Haase, A., Pielech, R., Prokhorov, V., Rašomavičius, V., Rodríguez Rojo, M.P., Rūsiņa, S., Schrautzer, J., Šibík, J., Šilc, U., Škvorc, Ž., Smagin, V.A., Stančić, Z., Stanisci, A., Tikhonova, E., Tonteri, T., Uogintas, D., Valachovič, M., Vassilev, K., Vynokurov, D., Willner, W., Yamalov, S., Evans, D., Palitzsch Lund, M., Spyropoulou, R., Tryfon, E., Schaminée, J.H.J., and Schmidtlein, S.

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

Published
2020

3. European weed vegetation database – A gap-focused vegetation-plot database

Author

Küzmič, F., Šilc, U., Lososová, Z., Mucina, L., Chytrý, M., Knollová, I., Hennekens, S.M., Berg, C., Bergmeier, E., Biurrun, I., Fanfarillo, E., Font, X., Iakushenko, D., Kovačević, Z., Meyer, S., Nagy, K., Pinke, G., Poranen, E., Tereshenko, S., Küzmič, F., Šilc, U., Lososová, Z., Mucina, L., Chytrý, M., Knollová, I., Hennekens, S.M., Berg, C., Bergmeier, E., Biurrun, I., Fanfarillo, E., Font, X., Iakushenko, D., Kovačević, Z., Meyer, S., Nagy, K., Pinke, G., Poranen, E., and Tereshenko, S.

Abstract

This report presents the European Weed Vegetation Database, a new database of vegetation plots documenting short-lived vegetation of arable and ruderal habitats from Europe and Macaronesia. The database comprises the phytosociological classes Papaveretea rhoeadis, Sisymbrietea, Chenopodietea and Digitario sanguinalis-Eragrostietea minoris. It is a gap-focused database containing mainly plots of this vegetation from the areas not yet represented in the European Vegetation Archive (EVA), to facilitate its accessibility for researchers to answer various questions. As of the end of 2018, it contained 24,734 plots, predominantly from Southern Europe. The data can be used for phytosociological studies, various kinds of interdisciplinary research as well as for studies for agronomy, nature management and biodiversity conservation. Syntaxonomic reference: Mucina et al. (2016) Abbreviations: EVA = European Vegetation Archive; GIVD = Global Index of Vegetation-Plot Databases.

Published
2020

4. Alpha diversity of vascular plants in European forests

Author

Vecera, M., Divíšek, Jan, Lenoir, J., Jiménez Alfaro, Borja, Biurrun, Idoia, Knollová, I., Agrillo, E., Campos, J. A., Čarni, A., Crespo Jiménez, G., Ćuk, M., Dimopoulos, P., Ewald, Jörg, Fernández-González, Federico, Gégout, Jean-Claude, Indreica, A., Jandt, U., Jansen, F., Kącki, Z., Rašomavičius, V., Řezníčková, M., Rodwell, J.S., Schaminée, J.H.J., Šilc, U., Svenning, J.-C., Swacha, G., Vassilev, K., Venanzoni, R., Wohlgemuth, T., Vecera, M., Divíšek, Jan, Lenoir, J., Jiménez Alfaro, Borja, Biurrun, Idoia, Knollová, I., Agrillo, E., Campos, J. A., Čarni, A., Crespo Jiménez, G., Ćuk, M., Dimopoulos, P., Ewald, Jörg, Fernández-González, Federico, Gégout, Jean-Claude, Indreica, A., Jandt, U., Jansen, F., Kącki, Z., Rašomavičius, V., Řezníčková, M., Rodwell, J.S., Schaminée, J.H.J., Šilc, U., Svenning, J.-C., Swacha, G., Vassilev, K., Venanzoni, R., and Wohlgemuth, T.

Abstract

Aim The former continental‐scale studies modelled coarse‐grained plant species‐richness patterns (gamma diversity). Here we aim to refine this information for European forests by (a) modelling the number of vascular plant species that co‐occur in local communities (alpha diversity) within spatial units of 400 m2; and (b) assessing the factors likely determining the observed spatial patterns in alpha diversity. Location Europe roughly within 12°W–30°E and 35–60°N. Taxon Vascular plants. Methods The numbers of co‐occurring vascular plant species were counted in 73,134 georeferenced vegetation plots. Each plot was classified by an expert system into deciduous broadleaf, coniferous or sclerophyllous forest. Random Forest models were used to map and explain spatial patterns in alpha diversity for each forest type separately using 19 environmental, land‐use and historical variables. Results Our models explained from 51.0% to 70.9% of the variation in forest alpha diversity. The modelled alpha‐diversity pattern was dominated by a marked gradient from species‐poor north‐western to species‐rich south‐eastern Europe. The most prominent richness hotspots were identified in the Calcareous Alps and adjacent north‐western Dinarides, the Carpathian foothills in Romania and the Western Carpathians in Slovakia. Energy‐related factors, bedrock types and terrain ruggedness were identified as the main variables underlying the observed richness patterns. Alpha diversity increases especially with temperature seasonality in deciduous broadleaf forests, on limestone bedrock in coniferous forests and in areas with low annual actual evapotranspiration in sclerophyllous forests. Main conclusions We provide the first predictive maps and analyses of environmental factors driving the alpha diversity of vascular plants across European forests. Such information is important for the general understanding of European biodiversity. This study also demonstrates a high potential of vegetation‐plot data

Published
2019

5. 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

6. Towards a new electronic archive for European pine forest: CircumMed+Euro Pine Forest database. In: Vegetation survey 90 years after the publication of Braun-Blanquet’s textbook – new challenges and concepts

Author

Bonari, G., Knollová, I., Vlčková, P., Sağlam, C., Xystrakis, F., Chytrý, M., Acosta, A. T. R., Angiolini, C., Bergmeier, E., Bertacchi, A., Boubakr, S., Costa, J. C., Didukh, Y., Fanfarillo, E., Kadik, L., Mohamed, A., Neto, C., Pesaresi, S., Rosati, L., Selvi, F., Sotiriou, A., Stinca, A., Turcato, C., and Viciani, D

Subjects
Vegetation, pine forests, database
Published
2018

7. The Romanian Grassland Database (RGD): historical background, current status and future perspectives

Author

Vassilev, Kiril, Ruprecht, E., Alexiu, V., Becker, T., Beldean, M., Biță-Nicolae, C., Csergő, A.M., Dzhovanova, I., Filipova, E., Frink, J.P., Gafta, D., Georgieva, M., Germany, M.S., Goia, I., Gumus, M., Hennekens, S.M., Janišová, M., Knollová, I., Koleva, V., Kostadinova, S., Kuzmanović, N., Loos, J., Mardari, C., Michl, T., Neblea, M.A., Nicoară, R.I., Novák, P., Öllerer, K., Onete, M., Palpurina, S., Paulini, I., Pedashenko, H., Pușcaș, M., Roman, A., Šibík, J., Sîrbu, C., Stancu, D., Sutcliffe, L., Szabó, A., Tomescu, C.-V., Totev, E., Tsvetanov, B., Turtureanu, P.D., Vassileva, P., Velev, N., Dengler, Jürgen, Vassilev, Kiril, Ruprecht, E., Alexiu, V., Becker, T., Beldean, M., Biță-Nicolae, C., Csergő, A.M., Dzhovanova, I., Filipova, E., Frink, J.P., Gafta, D., Georgieva, M., Germany, M.S., Goia, I., Gumus, M., Hennekens, S.M., Janišová, M., Knollová, I., Koleva, V., Kostadinova, S., Kuzmanović, N., Loos, J., Mardari, C., Michl, T., Neblea, M.A., Nicoară, R.I., Novák, P., Öllerer, K., Onete, M., Palpurina, S., Paulini, I., Pedashenko, H., Pușcaș, M., Roman, A., Šibík, J., Sîrbu, C., Stancu, D., Sutcliffe, L., Szabó, A., Tomescu, C.-V., Totev, E., Tsvetanov, B., Turtureanu, P.D., Vassileva, P., Velev, N., and Dengler, Jürgen

Abstract

This report describes the Romanian Grassland Database (RGD), registered under EU-RO-008 in the Global Index of Vegetation-Plot Databases (GIVD). This collaborative initiative aims at collecting all available vegetation-plot data (relevés) of grasslands and other open habitats from the territory of Romania and providing them for science, nationally and internationally, e.g. via the European Vegetation Archive (EVA) and the global database “sPlot”. It mainly contains data from wet, mesic, dry, saline, alpine and rocky grasslands, but also some other vegetation types like heathlands, mires, ruderal, segetal, aquatic and cryptogam-dominated vegetation. The currently 21,685 relevés have mainly been digitised from literature sources (90%), while the rest comes from individual unpublished sources (10%). We report on the background and history of RGD, explain its “Data Property and Governance Rules” under which data are contributed and retrieved and outline how RGD can contribute to research in the fields of vegetation ecology, macroecology and conservation.

Published
2018

8. Global trait–environment relationships of plant communities

Author

Bruelheide, H., Dengler, J., Purschke, O., Lenoir, J., Jiménez‐Alfaro, B., Hennekens, S.M., Botta-Dukát, Z., Chytrý, M., Field, R., Jansen, F., Kattge, J., Pillar, V.D., Schrodt, F., Mahecha, M.D., Peet, R.K., Sandel, B., van Bodegom, P., Altman, J., Alvarez-Dávila, E., Khan, M.A.S.A., Attorre, F., Aubin, I., Baraloto, C., Barroso, J.G., Bauters, M., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Blonder, B., Čarni, A., Cayuela, L., Černý, T., Cornelissen, J.H.C., Craven, Dylan, Dainese, M., Derroire, G., De Sanctis, M., Díaz, S., Doležal, J., Farfan-Rios, W., Feldpausch, T.R., Fenton, N.J., Garnier, E., Guerin, G.R., Gutiérrez, A.G., Haider, S., Hattab, T., Henry, G., Hérault, B., Higuchi, P., Hölzel, N., Homeier, J., Jentsch, A., Jürgens, N., Kącki, Z., Karger, D.N., Kessler, M., Kleyer, M., Knollová, I., Korolyuk, A.Y., Kühn, Ingolf, Laughlin, D.C., Lens, F., Loos, J., Louault, F., Lyubenova, M.I., Malhi, Y., Marcenò, C., Mencuccini, M., Müller, J.V., Munzinger, J., Myers-Smith, I.H., Neill, D.A., Niinemets, Ü., Orwin, K.H., Ozinga, W.A., Penuelas, J., Pérez-Haase, A., Petřík, P., Phillips, O.L., Pärtel, M., Reich, P.B., Römermann, C., Rodrigues, A.V., Sabatini, F.M., Sardans, J., Schmidt, M., Seidler, G., Silva Espejo, J.E., Silveira, M., Smyth, A., Sporbert, M., Svenning, J.-C., Tang, Z., Thomas, R., Tsiripidis, I., Vassilev, K., Violle, C., Virtanen, Risto, Weiher, E., Bruelheide, H., Dengler, J., Purschke, O., Lenoir, J., Jiménez‐Alfaro, B., Hennekens, S.M., Botta-Dukát, Z., Chytrý, M., Field, R., Jansen, F., Kattge, J., Pillar, V.D., Schrodt, F., Mahecha, M.D., Peet, R.K., Sandel, B., van Bodegom, P., Altman, J., Alvarez-Dávila, E., Khan, M.A.S.A., Attorre, F., Aubin, I., Baraloto, C., Barroso, J.G., Bauters, M., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Blonder, B., Čarni, A., Cayuela, L., Černý, T., Cornelissen, J.H.C., Craven, Dylan, Dainese, M., Derroire, G., De Sanctis, M., Díaz, S., Doležal, J., Farfan-Rios, W., Feldpausch, T.R., Fenton, N.J., Garnier, E., Guerin, G.R., Gutiérrez, A.G., Haider, S., Hattab, T., Henry, G., Hérault, B., Higuchi, P., Hölzel, N., Homeier, J., Jentsch, A., Jürgens, N., Kącki, Z., Karger, D.N., Kessler, M., Kleyer, M., Knollová, I., Korolyuk, A.Y., Kühn, Ingolf, Laughlin, D.C., Lens, F., Loos, J., Louault, F., Lyubenova, M.I., Malhi, Y., Marcenò, C., Mencuccini, M., Müller, J.V., Munzinger, J., Myers-Smith, I.H., Neill, D.A., Niinemets, Ü., Orwin, K.H., Ozinga, W.A., Penuelas, J., Pérez-Haase, A., Petřík, P., Phillips, O.L., Pärtel, M., Reich, P.B., Römermann, C., Rodrigues, A.V., Sabatini, F.M., Sardans, J., Schmidt, M., Seidler, G., Silva Espejo, J.E., Silveira, M., Smyth, A., Sporbert, M., Svenning, J.-C., Tang, Z., Thomas, R., Tsiripidis, I., Vassilev, K., Violle, C., Virtanen, Risto, and Weiher, E.

Abstract

Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait–environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

Published
2018

9. 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

10. European Vegetation Archive: now EVA really starts!

Author

Chytrý, M, Hennekens, S, Jiménez Alfaro, J, Dengler, J, Agrillo, E, Angelini, P, Apostolova, I, Becker, T, Berg, C, Bergmeier, E, Botta Dukàt, Z, Carlón, L, Casella, L, Csiky, J, Danihelka, J, Dimopoulos, P, Ewald, J, Fernàndez Gonzàles, F, Fitz, PU, Font, X, Garcia Mijangos, I, Golub, V, Indreica, A, Jandt, U, Jansen, F, Kącki, Z, Kleikamp, M, Knollová, I, Krstonosic, D, Kuzemko, A, Landucci, F, Lenoir, J, Lysenko, T, Marcenò, C, Michalcová, D, Rodwell, J, Rusina, S, Seidler, G, Schaminée, J, Šibík, J, Šilc, U, Sopotlieva, D, Sorokin, A, Spada, F, Stancic, Z, Swacha, G, Skvorc, Z, Tsiripidis, I, Turtureanu, PD, Valachovič, M, Vassilev, K, Venanzoni, R, Weekes, L, Willner, W, Wohlgemuth, T, NVDC, GUARINO, Riccardo, Chytrý, M, Hennekens, S, Jiménez-Alfaro, J, Dengler, J, Agrillo, E, Angelini, P, Apostolova, I, Becker, T, Berg, C, Bergmeier, E, Botta-Dukàt, Z, Carlón, L, Casella, L, Csiky, J, Danihelka, J, Dimopoulos, P, Ewald, J, Fernàndez-Gonzàles, F, Fitz, PU, Font, X, Garcia-Mijangos, I, Golub, V, Guarino, R, Indreica, A, Jandt, U, Jansen, F, Kącki, Z, Kleikamp, M, Knollová, I, Krstonosic, D, Kuzemko, A, Landucci, F, Lenoir, J, Lysenko, T, Marcenò, C, Michalcová, D, Rodwell, J, Rusina, S, Seidler, G, Schaminée, J, Šibík, J, Šilc, U, Sopotlieva, D, Sorokin, A, Spada, F, Stancic, Z, Swacha, G, Skvorc, Z, Tsiripidis, I, Turtureanu, PD, Valachovič, M, Vassilev, K, Venanzoni, R, Weekes, L, Willner, W, Wohlgemuth, T, and NVDC

Subjects
vegetation, phytosociology, data-base, Europe, Settore BIO/03 - Botanica Ambientale E Applicata
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 data­ bases and it guarantees that data property rights of the original contributors are re­ spected. EVA Data Property and Governance Rules were approved and the EVA website (www.euroveg.org/eva­database) was established in 2012. Since then several European vegetation­plot databases joined EVA. In the framework of the parallel Braun­Blanquet 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 spe­ cific 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 ac­ count for new vegetation­plot 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 large­scale analyses of European vegeta­ tion diversity for both scientific purposes and applications.

Published
2014

11. 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

12. 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

13. Grasslands of Europe: an overview of available data in EVA and First approaches to analyse their diversity patterns at continental scale

Author

Dengler, J., Chytrý, M., Hennekens, S., Jimenéz-Alfaro, B., Apostolova, I., Janišová, M., Jansen, F., Jentsch, A., Knollová, I., Kreyling, J., Kuzemko, A., Landucci, F., Rusina, S., Schaminée, J., Vassilev, K., Willner, W., ..., Stančić, Zvjezdana, ..., EVA Consortium, SIGNAL Consortium, Čarni, Andraž, Juvan, Nina, and Ribeiro, Daniela

Subjects
grasslands, Europe
Abstract

After two preparatory years, the European Vegetation Archive (EVA ; http://euroveg. org/eva-database) actually started to become functional in 2014 (see talk by Chytrý et al.). This community-owned continental vegetation-plot database is the largest database of that type in the world and aims to be comprehensive with regard to countries and vegetation types. It is coordinated by the European Vegetation Survey (EVS ; http://euroveg.org/) with responsibilities for the grassland vegetation by the BiodivERsA project SIGNAL (http://www.bayceer.uni-bayreuth.de/signal/) and the European Dry Grassland Group (EDGG ; http://www.edgg.org). In this talk, I will present an overview of the plot data of grassland syntaxa available in EVA at the point of time of the conference, with an outlook on additional data that are currently being processed, and highlight data gaps for certain grassland types or regions. We understand grasslands in a wide sense, including the following major groups: (1) Temperate grasslands (Koelerio-Corynephoretea, Festuco-Brometea, Molinio-Arrhenatheretea, Nardetea strictae) ; (2) Mediterranean grasslands (Poetea bulbosae, Lygeo-Stipetea, Stipo-Agrostietea, Stipo-Trachynietea, Helianthemetea guttati, Tolpido-Holcetea, Helichryso-Crucianelletea, Astragalo-Brometea) ; (3) Arctic-alpine grasslands (Carici-Kobresietea, Elyno-Seslerietea, Juncetea trifidi) ; (4) Oro-Mediterranean grasslands (Festucetea indigestae, Festuco-Ononidetea, Carici-Genistetea, Rumici-Astragaletea, Daphno-Festucetea, Diantho-Teucrietea) ; (5) Saline grasslands (Festuco-Puccinellietea, Juncetea maritimae, Saginetea maritimae) ; (6) Related heathlands (Calluno-Ulicetea, Loiseleurio-Vaccinietea) ; and (7) Related tall-forb and forest-edge communities (Trifolio-Geranietea, Mulgedio-Aconitetea). Further, I will introduce the great and novel potential that our Continental grassland plot database holds both for fundamental and applied research. The topics that can be addressed in an unprecedented manner include (i) fine-grain species-richness patterns and their underlying drivers across large spatial extents ; (ii) functional diversity and species assembly rules ; (iii) extrapolation of results from coordinated global change experiments to a continental scale ; (iv) consistent re-classification of major grassland types across Europe ; (v) standardized parameterization of vegetation types ; (vi) contributions to conservation assessments such as EU red listing of habitat types. With some first analyses of diversity patterns in grasslands across Europe I will illustrate this potential.

Published
2014

16. 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.

17. 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.

18. 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.

19. Circummed pine forest database: An electronic archive for mediterranean and submediterranean pine forest vegetation data

Author

Adriano Stinca, Milan Chytrý, Yakiv Didukh, Daniele Viciani, Riccardo Guarino, Coşkun Sağlam, Alicia Teresa Rosario Acosta, José Carlos Costa, Ilona Knollová, Carlos Neto, S. Pesaresi, Marco Landi, Erwin Bergmeier, Stephan M. Hennekens, Emanuele Fanfarillo, Federico Selvi, Andrea Bertacchi, Claudia Turcato, Süleyman Çoban, Pavla Vlčková, Fotios Xystrakis, Alexandros Sotiriou, Bonari Gianmaria, Rossen Tzonev, Claudia Angiolini, Daniela Gigante, Leonardo Rosati, Bonari, G, Knollová, I, Vlčková, P, Xystrakis, F, Çoban, S, Sağlam, C, Didukh, Yp, Hennekens, Sm, Acosta, Atr, Angiolini, C, Bergmeier, E, Bertacchi, A, Costa, Jc, Farfarillo, E, Gigante, D, Guarino, R, Landi, M, Neto, C, Pesaresi, S, Rosati, L, Selvi, F, Sotiriou, A, Stinca, A, Turcato, C, Tzonev, R, Viciani, V, Chytrý, M, Gianmaria, Bonari, Knollová, Ilona, Vlčková, Pavla, Xystrakis, Fotio, Çoban, Süleyman, Sağlam, Coşkun, Didukh, Yakiv P., Hennekens, Stephan M., Acosta, Alicia T. R., Angiolini, Claudia, Bergmeier, Erwin, Bertacchi, Andrea, Costa, José C., Fanfarillo, Emanuele, Gigante, Daniela, Guarino, Riccardo, Landi, Marco, Neto, Carlos S., Pesaresi, Simone, Rosati, Leonardo, Selvi, Federico, Sotiriou, Alexandro, Stinca, Adriano, Turcato, Claudia, Tzonev, Rossen, Viciani, Daniele, Chytrý, Milan, and Acosta, Alicia T.R.

Subjects
0106 biological sciences, Mediterranean climate, Vegetation classification, Bos- en Landschapsecologie, Biodiversity, Plant Science, computer.software_genre, 01 natural sciences, Mediterranean Basin, Turboveg, Relevé, medicine, Forest and Landscape Ecology, Macroecology, Pinu, Vegetatie, CircumMed Pine Forest Database • European Vegetation Archive (EVA) • forest vegetation • Mediterranean Basin • phytosociology • pine forest • Pinus • relevé • Turboveg • vegetation plot, Vegetation, Database, Phytosociology, 15. Life on land, Pinus, Vegetation plot, Geography, Thematic map, CircumMed Pine Forest Database, European Vegetation Archive (EVA), Forest vegetation, Pine forest, Vegetatie, Bos- en Landschapsecologie, Vegetation, Forest and Landscape Ecology, medicine.symptom, Vegetation (pathology), computer, 010606 plant biology & botany
Abstract

Large thematic databases of vegetation plots are increasingly needed for vegetation studies and biodiversity research. In this paper, we present the CircumMed Pine Forest Database (GIVD ID: EU-00-026), which in November 2018, comprised records from 6317 pine-dominated vegetation plots (relevés) and associated vegetation types from 20 countries of the Mediterranean Basin, Near East and Crimea. These vegetation plots were collected through a detailed literature search for plots not previously included in the European Vegetation Archive (EVA), in order to fill geographic gaps in data coverage. The database comprises Mediterranean (including Oromediterranean) pine-forest vegetation plots from both published and unpublished sources. All vegetation plots are georeferenced, although coordinates vary in accuracy. The database is accessible through EVA or from its Custodian. We anticipate the CircumMed Pine Forest Database will be a valuable resource for various types of broad-scale studies in the fields of vegetation classification, plant invasion ecology, macroecology and biological conservation. Abbreviations: EU = European Union; EVA = European Vegetation Archive; EVS = European Vegetation Survey; GIVD = Global Index of Vegetation-Plot Databases.

Published
2019

20. 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

21. Climate-trait relationships exhibit strong habitat specificity in plant communities across Europe.

Author

Kambach S, Sabatini FM, Attorre F, Biurrun I, Boenisch G, Bonari G, Čarni A, Carranza ML, Chiarucci A, Chytrý M, Dengler J, Garbolino E, Golub V, Güler B, Jandt U, Jansen J, Jašková A, Jiménez-Alfaro B, Karger DN, Kattge J, Knollová I, Midolo G, Moeslund JE, Pielech R, Rašomavičius V, Rūsiņa S, Šibík J, Stančić Z, Stanisci A, Svenning JC, Yamalov S, Zimmermann NE, and Bruelheide H

Subjects
Europe, Seeds, Ecosystem, Plants
Abstract

Ecological theory predicts close relationships between macroclimate and functional traits. Yet, global climatic gradients correlate only weakly with the trait composition of local plant communities, suggesting that important factors have been ignored. Here, we investigate the consistency of climate-trait relationships for plant communities in European habitats. Assuming that local factors are better accounted for in more narrowly defined habitats, we assigned > 300,000 vegetation plots to hierarchically classified habitats and modelled the effects of climate on the community-weighted means of four key functional traits using generalized additive models. We found that the predictive power of climate increased from broadly to narrowly defined habitats for specific leaf area and root length, but not for plant height and seed mass. Although macroclimate generally predicted the distribution of all traits, its effects varied, with habitat-specificity increasing toward more narrowly defined habitats. We conclude that macroclimate is an important determinant of terrestrial plant communities, but future predictions of climatic effects must consider how habitats are defined., (© 2023. The Author(s).)

Published
2023
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22. Global trait-environment relationships of plant communities.

Author

Bruelheide H, Dengler J, Purschke O, Lenoir J, Jiménez-Alfaro B, Hennekens SM, Botta-Dukát Z, Chytrý M, Field R, Jansen F, Kattge J, Pillar VD, Schrodt F, Mahecha MD, Peet RK, Sandel B, van Bodegom P, Altman J, Alvarez-Dávila E, Arfin Khan MAS, Attorre F, Aubin I, Baraloto C, Barroso JG, Bauters M, Bergmeier E, Biurrun I, Bjorkman AD, Blonder B, Čarni A, Cayuela L, Černý T, Cornelissen JHC, Craven D, Dainese M, Derroire G, De Sanctis M, Díaz S, Doležal J, Farfan-Rios W, Feldpausch TR, Fenton NJ, Garnier E, Guerin GR, Gutiérrez AG, Haider S, Hattab T, Henry G, Hérault B, Higuchi P, Hölzel N, Homeier J, Jentsch A, Jürgens N, Kącki Z, Karger DN, Kessler M, Kleyer M, Knollová I, Korolyuk AY, Kühn I, Laughlin DC, Lens F, Loos J, Louault F, Lyubenova MI, Malhi Y, Marcenò C, Mencuccini M, Müller JV, Munzinger J, Myers-Smith IH, Neill DA, Niinemets Ü, Orwin KH, Ozinga WA, Penuelas J, Pérez-Haase A, Petřík P, Phillips OL, Pärtel M, Reich PB, Römermann C, Rodrigues AV, Sabatini FM, Sardans J, Schmidt M, Seidler G, Silva Espejo JE, Silveira M, Smyth A, Sporbert M, Svenning JC, Tang Z, Thomas R, Tsiripidis I, Vassilev K, Violle C, Virtanen R, Weiher E, Welk E, Wesche K, Winter M, Wirth C, and Jandt U

Subjects
Forests, Grassland, Life History Traits, Plant Dispersal, Plants
Abstract

Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

Published
2018
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23. Separating habitat invasibility by alien plants from the actual level of invasion.

Author

Chytrý M, Jarosik V, Pysek P, Hájek O, Knollová I, Tichý L, and Danihelka J

Subjects
Agriculture, Czech Republic, Conservation of Natural Resources, Ecosystem
Abstract

Habitats vary considerably in the level of invasion (number or proportion of alien plant species they contain), which depends on local habitat properties, propagule pressure, and climate. To determine the invasibility (susceptibility to invasions) of different habitats, it is necessary to factor out the effects of any confounding variables such as propagule pressure and climate on the level of invasion. We used 20 468 vegetation plots from 32 habitats in the Czech Republic to compare the invasibility of different habitats. Using regression trees, the proportion of alien plants, including archaeophytes (prehistoric to medieval invaders) and neophytes (recent invaders), was related to variables representing habitat properties, propagule pressure, and climate. The propagule pressure was expressed as the proportion of surrounding urban and industrial or agricultural land, human population density, distance from a river, and history of human colonization in the region. Urban and industrial land use had a positive effect on the proportion of both archaeophytes and neophytes. Agricultural land use, higher population density, and longer history of human impact positively affected the proportion of archaeophytes. Disturbed human-made habitats with herbaceous vegetation were most invaded by both groups of aliens. Neophytes were also relatively common in disturbed woody vegetation, such as broad-leaved plantations, forest clearings, and riverine scrub. These habitats also had the highest proportion of aliens after removing the effect of propagule pressure and climate, indicating that they are not only the most invaded, but also most invasible. These habitats experience recurrent disturbances and are rich, at least temporarily, in available nutrients, which supports the hypothesis that fluctuating resources are the major cause of habitat invasibility. The least invaded habitats were mires and alpine-subalpine grasslands and scrub. After removing the effect of propagule pressure and climate, some habitats actually invaded at an intermediate level had very low proportions of aliens. This indicates that these habitats (e.g., dry, wet, and saline grasslands, base-rich fens, and broad-leaved deciduous woodlands) are resistant to invasion.

Published
2008
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