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1. Discovering hidden treasures: unveiling a new population of the narrow endemic Hieracium lucidum Guss. (Asteraceae) on the Mounts of Palermo (NW Sicily, Italy).

Author

Pasta, S., Gristina, A. S., Marcenò, C., de Simone, L., Garfì, G., Giacalone, G., Ilardi, V., Kozlowski, G., Scuderi, L., and Guarino, R.

Subjects
ENDEMIC species, PHYTOGEOGRAPHY, PLANT conservation, SPECIES distribution, COASTS, ASTERACEAE
Abstract

The authors discovered a new population of Hieracium lucidum Guss., a species hitherto considered strictly endemic to Monte Gallo. Useful elements for the ecological characterisation of the new population are provided. The stretch of carbonate coastline between the Egadi Islands and the western portion of the Province of Palermo displays a very high wealth of valuable floristic elements and represents an unicum in terms of both phytogeography and ecology. Considering the extreme fragmentation of the distribution pattern of many endemic and exclusive species that characterise this district, as in the case of H. lucidum, the authors suggest upgrading the strategies to protect the local botanical heritage, going beyond the species approach and thinking on a wider territorial scale. [ABSTRACT FROM AUTHOR]

Published
2024
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2. Discovering hidden treasures: unveiling a new population of the narrow endemic Hieracium lucidumGuss. (Asteraceae) on the Mounts of Palermo (NW Sicily, Italy)

Author

Pasta, S., Gristina, A. S., Marcenò, C., de Simone, L., Garfì, G., Giacalone, G., Ilardi, V., Kozlowski, G., Scuderi, L., and Guarino, R.

Abstract

The authors discovered a new population of Hieracium lucidumGuss., a species hitherto considered strictly endemic to Monte Gallo. Useful elements for the ecological characterisation of the new population are provided. The stretch of carbonate coastline between the Egadi Islands and the western portion of the Province of Palermo displays a very high wealth of valuable floristic elements and represents an unicum in terms of both phytogeography and ecology. Considering the extreme fragmentation of the distribution pattern of many endemic and exclusive species that characterise this district, as in the case of H. lucidum, the authors suggest upgrading the strategies to protect the local botanical heritage, going beyond the species approach and thinking on a wider territorial scale.

Published
2024
Full Text
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6. Distribution maps of vegetation alliances in Europe

Author

Preislerová, Z., Jiménez‐Alfaro, B., Mucina, L., Berg, C., Bonari, G., Kuzemko, A., Landucci, F., Marcenò, C., Monteiro‐Henriques, T., Novák, P., Vynokurov, D., Bergmeier, E., Dengler, J., Apostolova, I., Bioret, F., Biurrun, I., Campos, J.A., Capelo, J., Čarni, A., Çoban, S., Csiky, J., Ćuk, M., Ćušterevska, R., Daniëls, F.J.A., De Sanctis, M., Didukh, Y., Dítě, D., Fanelli, G., Golovanov, Y., Golub, V., Guarino, R., Hájek, M., Iakushenko, D., Indreica, A., Jansen, F., Jašková, A., Jiroušek, M., Kalníková, V., Kavgacı, A., Kucherov, I., Küzmič, F., Lebedeva, M., Loidi, J., Lososová, Z., Lysenko, T., Milanović, Đ., Onyshchenko, V., Perrin, G., Peterka, T., Rašomavičius, V., Rodríguez‐Rojo, M.P., Rodwell, J.S., Rūsiņa, S., Sánchez‐Mata, D., Schaminée, J.H.J., Semenishchenkov, Y., Shevchenko, N., Šibík, J., Škvorc, Ž., Smagin, V., Stešević, D., Stupar, V., Šumberová, K., Theurillat, J‐P, Tikhonova, E., Tzonev, R., Valachovič, M., Vassilev, K., Willner, W., Yamalov, S., Večeřa, M., Chytrý, M., Preislerová, Z., Jiménez‐Alfaro, B., Mucina, L., Berg, C., Bonari, G., Kuzemko, A., Landucci, F., Marcenò, C., Monteiro‐Henriques, T., Novák, P., Vynokurov, D., Bergmeier, E., Dengler, J., Apostolova, I., Bioret, F., Biurrun, I., Campos, J.A., Capelo, J., Čarni, A., Çoban, S., Csiky, J., Ćuk, M., Ćušterevska, R., Daniëls, F.J.A., De Sanctis, M., Didukh, Y., Dítě, D., Fanelli, G., Golovanov, Y., Golub, V., Guarino, R., Hájek, M., Iakushenko, D., Indreica, A., Jansen, F., Jašková, A., Jiroušek, M., Kalníková, V., Kavgacı, A., Kucherov, I., Küzmič, F., Lebedeva, M., Loidi, J., Lososová, Z., Lysenko, T., Milanović, Đ., Onyshchenko, V., Perrin, G., Peterka, T., Rašomavičius, V., Rodríguez‐Rojo, M.P., Rodwell, J.S., Rūsiņa, S., Sánchez‐Mata, D., Schaminée, J.H.J., Semenishchenkov, Y., Shevchenko, N., Šibík, J., Škvorc, Ž., Smagin, V., Stešević, D., Stupar, V., Šumberová, K., Theurillat, J‐P, Tikhonova, E., Tzonev, R., Valachovič, M., Vassilev, K., Willner, W., Yamalov, S., Večeřa, M., and Chytrý, M.

Abstract

Aim The first comprehensive checklist of European phytosociological alliances, orders and classes (EuroVegChecklist) was published by Mucina et al. (2016, Applied Vegetation Science, 19 (Suppl. 1), 3–264). However, this checklist did not contain detailed information on the distribution of individual vegetation types. Here we provide the first maps of all alliances in Europe. Location Europe, Greenland, Canary Islands, Madeira, Azores, Cyprus and the Caucasus countries. Methods We collected data on the occurrence of phytosociological alliances in European countries and regions from literature and vegetation-plot databases. We interpreted and complemented these data using the expert knowledge of an international team of vegetation scientists and matched all the previously reported alliance names and concepts with those of the EuroVegChecklist. We then mapped the occurrence of the EuroVegChecklist alliances in 82 territorial units corresponding to countries, large islands, archipelagos and peninsulas. We subdivided the mainland parts of large or biogeographically heterogeneous countries based on the European biogeographical regions. Specialized alliances of coastal habitats were mapped only for the coastal section of each territorial unit. Results Distribution maps were prepared for 1,105 alliances of vascular-plant dominated vegetation reported in the EuroVegChecklist. For each territorial unit, three levels of occurrence probability were plotted on the maps: (a) verified occurrence; (b) uncertain occurrence; and (c) absence. The maps of individual alliances were complemented by summary maps of the number of alliances and the alliance–area relationship. Distribution data are also provided in a spreadsheet. Conclusions The new map series represents the first attempt to characterize the distribution of all vegetation types at the alliance level across Europe. There are still many knowledge gaps, partly due to a lack of data for some regions and partly due to uncertainti

Published
2022

8. sPlotOpen – An environmentally balanced, open‐access, global dataset of vegetation plots

Author

Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jimenez‐Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Álvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El‐Sheikh, M.A.El‐R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán‐de‐Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J‐A, Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Penuelas, J., Pérez‐Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas‐Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J‐C, Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez‐Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H‐F, Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H., Bates, A., Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jimenez‐Alfaro, B., Kattge, J., Levesley, A., Pillar, V.D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S., Acosta, A.T.R., Agrillo, E., Álvarez, M., Apostolova, I., Arfin Khan, M.A.S., Arroyo, L., Attorre, F., Aubin, I., Banerjee, A., Bauters, M., Bergeron, Y., Bergmeier, E., Biurrun, I., Bjorkman, A.D., Bonari, G., Bondareva, V., Brunet, J., Čarni, A., Casella, L., Cayuela, L., Černý, T., Chepinoga, V., Csiky, J., Ćušterevska, R., De Bie, E., Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El‐Sheikh, M.A.El‐R.M., Enquist, B., Ewald, J., Fazayeli, F., Field, R., Finckh, M., Gachet, S., Galán‐de‐Mera, A., Garbolino, E., Gholizadeh, H., Giorgis, M., Golub, V., Alsos, I.G., Grytnes, J‐A, Guerin, G.R., Gutiérrez, A.G., Haider, S., Hatim, M.Z., Hérault, B., Hinojos Mendoza, G., Hölzel, N., Homeier, J., Hubau, W., Indreica, A., Janssen, J.A.M., Jedrzejek, B., Jentsch, A., Jürgens, N., Kącki, Z., Kapfer, J., Karger, D.N., Kavgacı, A., Kearsley, E., Kessler, M., Khanina, L., Killeen, T., Korolyuk, A., Kreft, H., Kühl, H.S., Kuzemko, A., Landucci, F., Lengyel, A., Lens, F., Lingner, D.V., Liu, H., Lysenko, T., Mahecha, M.D., Marcenò, C., Martynenko, V., Moeslund, J.E., Monteagudo Mendoza, A., Mucina, L., Müller, J.V., Munzinger, J., Naqinezhad, A., Noroozi, J., Nowak, A., Onyshchenko, V., Overbeck, G.E., Pärtel, M., Pauchard, A., Peet, R.K., Penuelas, J., Pérez‐Haase, A., Peterka, T., Petřík, P., Peyre, G., Phillips, O.L., Prokhorov, V., Rašomavičius, V., Revermann, R., Rivas‐Torres, G., Rodwell, J.S., Ruprecht, E., Rūsiņa, S., Samimi, C., Schmidt, M., Schrodt, F., Shan, H., Shirokikh, P., Šibík, J., Šilc, U., Sklenář, P., Škvorc, Ž., Sparrow, B., Sperandii, M.G., Stančić, Z., Svenning, J‐C, Tang, Z., Tang, C.Q., Tsiripidis, I., Vanselow, K.A., Vásquez Martínez, R., Vassilev, K., Vélez‐Martin, E., Venanzoni, R., Vibrans, A.C., Violle, C., Virtanen, R., Wehrden, H., Wagner, V., Walker, D.A., Waller, D.M., Wang, H‐F, Wesche, K., Whitfeld, T.J.S., Willner, W., Wiser, S.K., Wohlgemuth, T., Yamalov, S., Zobel, M., Bruelheide, H., and Bates, A.

Abstract

Assessing biodiversity status and trends in plant communities is critical for understanding, quantifying and predicting the effects of global change on ecosystems. Vegetation plots record the occurrence or abundance of all plant species co-occurring within delimited local areas. This allows species absences to be inferred, information seldom provided by existing global plant datasets. Although many vegetation plots have been recorded, most are not available to the global research community. A recent initiative, called ‘sPlot’, compiled the first global vegetation plot database, and continues to grow and curate it. The sPlot database, however, is extremely unbalanced spatially and environmentally, and is not open-access. Here, we address both these issues by (a) resampling the vegetation plots using several environmental variables as sampling strata and (b) securing permission from data holders of 105 local-to-regional datasets to openly release data. We thus present sPlotOpen, the largest open-access dataset of vegetation plots ever released. sPlotOpen can be used to explore global diversity at the plant community level, as ground truth data in remote sensing applications, or as a baseline for biodiversity monitoring.

Published
2021

9. Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales

Author

Sporbert, M., Welk, E., Seidler, G., Jandt, U., Aćić, S., Biurrun, I., Campos, J.A., Čarni, A., Cerabolini, B.E.L., Chytrý, M., Ćušterevska, R., Dengler, J., De Sanctis, M., Dziuba, T., Fagúndez, J., Field, R., Golub, V., He, T., Jansen, F., Lenoir, J., Marcenò, C., Martín‐Forés, I., Moeslund, J.E., Moretti, M., Niinemets, Ü., Penuelas, J., Pérez‐Haase, A., Vandvik, V., Vassilev, K., Vynokurov, D., Bruelheide, H., Kreft, H., Sporbert, M., Welk, E., Seidler, G., Jandt, U., Aćić, S., Biurrun, I., Campos, J.A., Čarni, A., Cerabolini, B.E.L., Chytrý, M., Ćušterevska, R., Dengler, J., De Sanctis, M., Dziuba, T., Fagúndez, J., Field, R., Golub, V., He, T., Jansen, F., Lenoir, J., Marcenò, C., Martín‐Forés, I., Moeslund, J.E., Moretti, M., Niinemets, Ü., Penuelas, J., Pérez‐Haase, A., Vandvik, V., Vassilev, K., Vynokurov, D., Bruelheide, H., and Kreft, H.

Abstract

Aim Plant functional traits summarize the main variability in plant form and function across taxa and biomes. We assess whether geographic range size, climatic niche size, and local abundance of plants can be predicted by sets of traits (trait syndromes) or are driven by single traits. Location Eurasia. Methods Species distribution maps were extracted from the Chorological Database Halle to derive information on the geographic range size and climatic niche size for 456 herbaceous, dwarf shrub and shrub species. We estimated local species abundances based on 740,113 vegetation plots from the European Vegetation Archive, where abundances were available as plant species cover per plot. We compiled a complete species‐by‐trait matrix of 20 plant functional traits from trait databases (TRY, BiolFlor and CLO‐PLA). The relationships of species’ geographic range size, climatic niche size and local abundance with single traits and trait syndromes were tested with multiple linear regression models. Results Generally, traits were more strongly related to local abundances than to broad‐scale species distribution patterns in geographic and climatic space (range and niche size), but both were better predicted by trait combinations than by single traits. Local abundance increased with leaf area and specific leaf area (SLA). Geographic range size and climatic niche size both increased with SLA. While range size increased with plant height, niche size decreased with leaf carbon content. Conclusion Functional traits matter for species’ abundance and distribution at both local and broad geographic scale. Local abundances are associated with different combinations of traits as compared to broad‐scale distributions, pointing to filtering by different environmental and ecological factors acting at distinct spatial scales. However, traits related to the leaf economics spectrum were important for species’ abundance and occurrence at both spatial scales. This finding emphasizes the general i

Published
2021

10. Benchmarking plant diversity of Palaearctic grasslands and other open habitats

Author

Biurrun, I., Pielech, R., Dembicz, I., Gillet, F., Kozub, Ł., Marcenò, C., Reitalu, T., Van Meerbeek, K., Guarino, R., Chytrý, M., Pakeman, R.J., Preislerová, Z., Axmanová, I., Burrascano, S., Bartha, S., Boch, S., Bruun, H.H., Conradi, T., De Frenne, P., Essl, F., Filibeck, G., Hájek, M., Jiménez-Alfaro, B., Kuzemko, A., Molnár, Z., Pärtel, M., Pätsch, R., Prentice, H.C., Roleček, J., Sutcliffe, L.M.E., Terzi, M., Winkler, M., Wu, J., Aćić, S., Acosta, A.T.R., Afif, E., Akasaka, M., Alatalo, J.M., Aleffi, M., Aleksanyan, A., Ali, A., Apostolova, I., Ashouri, P., Bátori, Z., Baumann, E., Becker, T., Belonovskaya, E., Benito Alonso, J.L., Berastegi, A., Bergamini, A., Bhatta, K.P., Bonini, I., Büchler, M.-O., Budzhak, V., Bueno, Á., Buldrini, F., Campos, J.A., Cancellieri, L., Carboni, M., Ceulemans, T., Chiarucci, A., Chocarro, C., Conti, L., Csergő, A.M., Cykowska-Marzencka, B., Czarniecka-Wiera, M., Czarnocka-Cieciura, M., Czortek, P., Danihelka, J., de Bello, F., Deák, B., Demeter, L., Deng, L., Diekmann, M., Dolezal, J., Dolnik, C., Dřevojan, P., Dupré, C., Ecker, K., Ejtehadi, H., Erschbamer, B., Etayo, J., Etzold, J., Farkas, T., Farzam, M., Fayvush, G., Fernández Calzado, M.R., Finckh, M., Fjellstad, W., Fotiadis, G., García-Magro, D., García-Mijangos, I., Gavilán, R.G., Germany, M., Ghafari, S., Giusso del Galdo, G.P., Grytnes, J.-A., Güler, B., Gutiérrez-Girón, A., Helm, A., Herrera, M., Hüllbusch, E.M., Ingerpuu, N., Jägerbrand, A.K., Jandt, U., Janišová, M., Jeanneret, P., Jeltsch, F., Jensen, K., Jentsch, A., Kącki, Z., Kakinuma, K., Kapfer, J., Kargar, M., Kelemen, A., Kiehl, K., Kirschner, P., Koyama, A., Langer, N., Lazzaro, L., Lepš, J., Li, C.-F., Li, F.Y., Liendo, D., Lindborg, R., Löbel, S., Lomba, A., Lososová, Z., Lustyk, P., Luzuriaga, A.L., Ma, W., Maccherini, S., Magnes, M., Malicki, M., Manthey, M., Mardari, C., May, F., Mayrhofer, H., Meier, E.S., Memariani, F., Merunková, K., Michelsen, O., Molero Mesa, J., Moradi, H., Moysiyenko, I., Mugnai, M., Naqinezhad, A., Natcheva, R., Ninot, J.M., Nobis, M., Noroozi, J., Nowak, A., Onipchenko, V., Palpurina, S., Pauli, H., Pedashenko, H., Pedersen, C., Peet, R.K., Pérez-Haase, A., Peters, J., Pipenbaher, N., Pirini, C., Pladevall-Izard, E., Plesková, Z., Potenza, G., Rahmanian, S., Rodríguez-Rojo, M.P., Ronkin, V., Rosati, L., Ruprecht, E., Rusina, S., Sabovljević, M., Sanaei, A., Sánchez, A.M., Santi, F., Savchenko, G., Sebastià, M.T., Shyriaieva, D., Silva, V., Škornik, S., Šmerdová, E., Sonkoly, J., Sperandii, M.G., Staniaszek-Kik, M., Stevens, C., Stifter, S., Suchrow, S., Swacha, G., Świerszcz, S., Talebi, A., Teleki, B., Tichý, L., Tölgyesi, C., Torca, M., Török, P., Tsarevskaya, N., Tsiripidis, I., Turisová, I., Ushimaru, A., Valkó, O., Van Mechelen, C., Vanneste, T., Vasheniak, I., Vassilev, K., Viciani, D., Villar, L., Virtanen, R., Vitasović-Kosić, I., Vojtkó, A., Vynokurov, D., Waldén, E., Wang, Y., Weiser, F., Wen, L., Wesche, K., White, H., Widmer, S., Wolfrum, S., Wróbel, A., Yuan, Z., Zelený, D., Zhao, L., Dengler, J., Biurrun, I., Pielech, R., Dembicz, I., Gillet, F., Kozub, Ł., Marcenò, C., Reitalu, T., Van Meerbeek, K., Guarino, R., Chytrý, M., Pakeman, R.J., Preislerová, Z., Axmanová, I., Burrascano, S., Bartha, S., Boch, S., Bruun, H.H., Conradi, T., De Frenne, P., Essl, F., Filibeck, G., Hájek, M., Jiménez-Alfaro, B., Kuzemko, A., Molnár, Z., Pärtel, M., Pätsch, R., Prentice, H.C., Roleček, J., Sutcliffe, L.M.E., Terzi, M., Winkler, M., Wu, J., Aćić, S., Acosta, A.T.R., Afif, E., Akasaka, M., Alatalo, J.M., Aleffi, M., Aleksanyan, A., Ali, A., Apostolova, I., Ashouri, P., Bátori, Z., Baumann, E., Becker, T., Belonovskaya, E., Benito Alonso, J.L., Berastegi, A., Bergamini, A., Bhatta, K.P., Bonini, I., Büchler, M.-O., Budzhak, V., Bueno, Á., Buldrini, F., Campos, J.A., Cancellieri, L., Carboni, M., Ceulemans, T., Chiarucci, A., Chocarro, C., Conti, L., Csergő, A.M., Cykowska-Marzencka, B., Czarniecka-Wiera, M., Czarnocka-Cieciura, M., Czortek, P., Danihelka, J., de Bello, F., Deák, B., Demeter, L., Deng, L., Diekmann, M., Dolezal, J., Dolnik, C., Dřevojan, P., Dupré, C., Ecker, K., Ejtehadi, H., Erschbamer, B., Etayo, J., Etzold, J., Farkas, T., Farzam, M., Fayvush, G., Fernández Calzado, M.R., Finckh, M., Fjellstad, W., Fotiadis, G., García-Magro, D., García-Mijangos, I., Gavilán, R.G., Germany, M., Ghafari, S., Giusso del Galdo, G.P., Grytnes, J.-A., Güler, B., Gutiérrez-Girón, A., Helm, A., Herrera, M., Hüllbusch, E.M., Ingerpuu, N., Jägerbrand, A.K., Jandt, U., Janišová, M., Jeanneret, P., Jeltsch, F., Jensen, K., Jentsch, A., Kącki, Z., Kakinuma, K., Kapfer, J., Kargar, M., Kelemen, A., Kiehl, K., Kirschner, P., Koyama, A., Langer, N., Lazzaro, L., Lepš, J., Li, C.-F., Li, F.Y., Liendo, D., Lindborg, R., Löbel, S., Lomba, A., Lososová, Z., Lustyk, P., Luzuriaga, A.L., Ma, W., Maccherini, S., Magnes, M., Malicki, M., Manthey, M., Mardari, C., May, F., Mayrhofer, H., Meier, E.S., Memariani, F., Merunková, K., Michelsen, O., Molero Mesa, J., Moradi, H., Moysiyenko, I., Mugnai, M., Naqinezhad, A., Natcheva, R., Ninot, J.M., Nobis, M., Noroozi, J., Nowak, A., Onipchenko, V., Palpurina, S., Pauli, H., Pedashenko, H., Pedersen, C., Peet, R.K., Pérez-Haase, A., Peters, J., Pipenbaher, N., Pirini, C., Pladevall-Izard, E., Plesková, Z., Potenza, G., Rahmanian, S., Rodríguez-Rojo, M.P., Ronkin, V., Rosati, L., Ruprecht, E., Rusina, S., Sabovljević, M., Sanaei, A., Sánchez, A.M., Santi, F., Savchenko, G., Sebastià, M.T., Shyriaieva, D., Silva, V., Škornik, S., Šmerdová, E., Sonkoly, J., Sperandii, M.G., Staniaszek-Kik, M., Stevens, C., Stifter, S., Suchrow, S., Swacha, G., Świerszcz, S., Talebi, A., Teleki, B., Tichý, L., Tölgyesi, C., Torca, M., Török, P., Tsarevskaya, N., Tsiripidis, I., Turisová, I., Ushimaru, A., Valkó, O., Van Mechelen, C., Vanneste, T., Vasheniak, I., Vassilev, K., Viciani, D., Villar, L., Virtanen, R., Vitasović-Kosić, I., Vojtkó, A., Vynokurov, D., Waldén, E., Wang, Y., Weiser, F., Wen, L., Wesche, K., White, H., Widmer, S., Wolfrum, S., Wróbel, A., Yuan, Z., Zelený, D., Zhao, L., and Dengler, J.

Abstract

Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroecological research and biodiversity conservation. Using the GrassPlot database, we provide benchmarks of fine-grain richness values of Palaearctic open habitats for vascular plants, bryophytes, lichens and complete vegetation (i.e., the sum of the former three groups). Location: Palaearctic biogeographic realm. Methods: We used 126,524 plots of eight standard grain sizes from the GrassPlot database: 0.0001, 0.001, 0.01, 0.1, 1, 10, 100 and 1,000 m2 and calculated the mean richness and standard deviations, as well as maximum, minimum, median, and first and third quartiles for each combination of grain size, taxonomic group, biome, region, vegetation type and phytosociological class. Results: Patterns of plant diversity in vegetation types and biomes differ across grain sizes and taxonomic groups. Overall, secondary (mostly semi-natural) grasslands and natural grasslands are the richest vegetation type. The open-access file ”GrassPlot Diversity Benchmarks” and the web tool “GrassPlot Diversity Explorer” are now available online (https://edgg.org/databases/GrasslandDiversityExplorer) and provide more insights into species richness patterns in the Palaearctic open habitats. Conclusions: The GrassPlot Diversity Benchmarks provide high-quality data on species richness in open habitat types across the Palaearctic. These benchmark data can be used in vegetation ecology, macroecology, biodiversity conservation and data quality checking. While the amount of data in the underlying GrassPlot database and their spatial coverage are smaller than in other extensive vegetation-plot databases, species recordings in GrassPlot are on average more complete, making it a valuable complementary data source in macroecology.

Published
2021

11. Fine-grain beta diversity of Palaearctic grassland vegetation

Author

Dembicz, I., Dengler, J., Steinbauer, M.J., Matthews, T.J., Bartha, S., Burrascano, S., Chiarucci, A., Filibeck, G., Gillet, F., Janišová, M., Palpurina, S., Storch, D., Ulrich, W., Aćić, S., Boch, S., Campos, J.A., Cancellieri, L., Carboni, M., Ciaschetti, G., Conradi, T., De Frenne, P., Dolezal, J., Dolnik, C., Essl, F., Fantinato, E., García-Mijangos, I., Giusso del Galdo, G.P., Grytnes, J.-A., Guarino, R., Güler, B., Kapfer, J., Klichowska, E., Kozub, Ł., Kuzemko, A., Löbel, S., Manthey, M., Marcenò, C., Mimet, Anne, Naqinezhad, A., Noroozi, J., Nowak, A., Pauli, H., Peet, R.K., Pellissier, Vincent, Pielech, R., Terzi, M., Uğurlu, E., Valkó, O., Vasheniak, I., Vassilev, K., Vynokurov, D., White, H.J., Willner, W., Winkler, M., Wolfrum, S., Zhang, J., Biurrun, I., Dembicz, I., Dengler, J., Steinbauer, M.J., Matthews, T.J., Bartha, S., Burrascano, S., Chiarucci, A., Filibeck, G., Gillet, F., Janišová, M., Palpurina, S., Storch, D., Ulrich, W., Aćić, S., Boch, S., Campos, J.A., Cancellieri, L., Carboni, M., Ciaschetti, G., Conradi, T., De Frenne, P., Dolezal, J., Dolnik, C., Essl, F., Fantinato, E., García-Mijangos, I., Giusso del Galdo, G.P., Grytnes, J.-A., Guarino, R., Güler, B., Kapfer, J., Klichowska, E., Kozub, Ł., Kuzemko, A., Löbel, S., Manthey, M., Marcenò, C., Mimet, Anne, Naqinezhad, A., Noroozi, J., Nowak, A., Pauli, H., Peet, R.K., Pellissier, Vincent, Pielech, R., Terzi, M., Uğurlu, E., Valkó, O., Vasheniak, I., Vassilev, K., Vynokurov, D., White, H.J., Willner, W., Winkler, M., Wolfrum, S., Zhang, J., and Biurrun, I.

Abstract

Questions Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? Location Palaearctic biogeographic realm. Methods We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m(2) and 1,024 m(2) from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species-area relationship (SAR), as a beta diversity measure. We tested whether z-values differed among taxonomic groups and with respect to biogeographic gradients (latitude, elevation, macroclimate), ecological (site) characteristics (several stress-productivity, disturbance and heterogeneity measures, including land use) and alpha diversity (c-value of the power law SAR). Results Mean z-values were highest for lichens, intermediate for vascular plants and lowest for bryophytes. Bivariate regressions of z-values against environmental variables had rather low predictive power (mean R-2 = 0.07 for vascular plants, less for other taxa). For vascular plants, the strongest predictors of z-values were herb layer cover (negative), elevation (positive), rock and stone cover (positive) and the c-value (U-shaped). All tested metrics related to land use (fertilization, livestock grazing, mowing, burning, decrease in naturalness) led to a decrease in z-values. Other predictors had little or no impact on z-values. The patterns for bryophytes, lichens and all taxa combined were similar but weaker than those for vascular plants. Conclusions We conclude that productivity has negative and heterogeneity positive effects on z-values, while the effect of disturbance varies depending on type and intensity. These patterns and the differences among taxonomic groups can be e

Published
2021

12. 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

13. Testing macroecological abundance patterns:the relationship between local abundance and range size, range position and climatic suitability among European vascular plants

Author

Sporbert, M. (Maria), Keil, P. (Petr), Seidler, G. (Gunnar), Bruelheide, H. (Helge), Jandt, U. (Ute), Aćić, S. (Svetlana), Biurrun, I. (Idoia), Campos, J. A. (Juan Antonio), Čarni, A. (Andraž), Chytrý, M. (Milan), Ćušterevska, R. (Renata), Dengler, J. (Jürgen), Golub, V. (Valentin), Jansen, F. (Florian), Kuzemko, A. (Anna), Lenoir, J. (Jonathan), Marcenò, C. (Corrado), Moeslund, J. E. (Jesper Erenskjold), Pérez‐Haase, A. (Aaron), Rūsiņa, S. (Solvita), Šilc, U. (Urban), Tsiripidris, I. (Ioannis), Vandvik, V. (Vigdis), Vasilev, K. (Kiril), Virtanen, R. (Risto), Welk, E. (Erik), Sporbert, M. (Maria), Keil, P. (Petr), Seidler, G. (Gunnar), Bruelheide, H. (Helge), Jandt, U. (Ute), Aćić, S. (Svetlana), Biurrun, I. (Idoia), Campos, J. A. (Juan Antonio), Čarni, A. (Andraž), Chytrý, M. (Milan), Ćušterevska, R. (Renata), Dengler, J. (Jürgen), Golub, V. (Valentin), Jansen, F. (Florian), Kuzemko, A. (Anna), Lenoir, J. (Jonathan), Marcenò, C. (Corrado), Moeslund, J. E. (Jesper Erenskjold), Pérez‐Haase, A. (Aaron), Rūsiņa, S. (Solvita), Šilc, U. (Urban), Tsiripidris, I. (Ioannis), Vandvik, V. (Vigdis), Vasilev, K. (Kiril), Virtanen, R. (Risto), and Welk, E. (Erik)

Abstract

Aim: A fundamental question in macroecology centres around understanding the relationship between species’ local abundance and their distribution in geographical and climatic space (i.e. the multi‐dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (a) the abundance–range size relationship, (b) the abundance–range centre relationship and (c) the abundance–suitability relationship. Location: Europe. Taxon: Vascular plants. Methods: Distribution range maps were extracted from the Chorological Database Halle to derive information on the range and niche sizes of 517 European vascular plant species. To estimate local abundance, we assessed samples from 744,513 vegetation plots in the European Vegetation Archive, where local species’ abundance is available as plant cover per plot. We then calculated the ‘centrality’, that is, the distance between the location of the abundance observation and each species’ range centre in geographical and climatic space. The climatic suitability of plot locations was estimated using coarse‐grain species distribution models (SDMs). The relationships between centrality or climatic suitability with abundance was tested using linear models and quantile regression. We summarized the overall trend across species’ regression slopes from linear models and quantile regression using a meta‐analytical approach. Results: We did not detect any positive relationships between a species’ mean local abundance and the size of its geographical range or climatic niche. Contrasting yet significant correlations were detected between abundance and centrality or climatic suitability among species. Main conclusions: Our results do not provide unequivocal support for any of the relationships tested, demonstrating that determining properties of species’ distributions at large grains and extents might be of limited use for predicting local abundance, incl

Published
2020

14. Testing macroecological abundance patterns: The relationship between local abundance and range size, range position and climatic suitability among European vascular plants

Author

Sporbert, M., Keil, P., Seidler, G., Bruelheide, H., Jandt, U., Aćić, S., Biurrun, I., Campos, J.A., Čarni, A., Chytrý, M., Ćušterevska, R., Dengler, J., Golub, V., Jansen, F., Kuzemko, A., Lenoir, J., Marcenò, C., Moeslund, J.E., Pérez‐Haase, A., Rūsiņa, S., Šilc, U., Tsiripidris, I., Vandvik, V., Vasilev, K., Virtanen, Risto, Welk, E., Sporbert, M., Keil, P., Seidler, G., Bruelheide, H., Jandt, U., Aćić, S., Biurrun, I., Campos, J.A., Čarni, A., Chytrý, M., Ćušterevska, R., Dengler, J., Golub, V., Jansen, F., Kuzemko, A., Lenoir, J., Marcenò, C., Moeslund, J.E., Pérez‐Haase, A., Rūsiņa, S., Šilc, U., Tsiripidris, I., Vandvik, V., Vasilev, K., Virtanen, Risto, and Welk, E.

Abstract

Aim A fundamental question in macroecology centres around understanding the relationship between species’ local abundance and their distribution in geographical and climatic space (i.e. the multi‐dimensional climatic space or climatic niche). Here, we tested three macroecological hypotheses that link local abundance to the following range properties: (a) the abundance–range size relationship, (b) the abundance–range centre relationship and (c) the abundance–suitability relationship. Location Europe. Taxon Vascular plants. Methods Distribution range maps were extracted from the Chorological Database Halle to derive information on the range and niche sizes of 517 European vascular plant species. To estimate local abundance, we assessed samples from 744,513 vegetation plots in the European Vegetation Archive, where local species’ abundance is available as plant cover per plot. We then calculated the ‘centrality’, that is, the distance between the location of the abundance observation and each species’ range centre in geographical and climatic space. The climatic suitability of plot locations was estimated using coarse‐grain species distribution models (SDMs). The relationships between centrality or climatic suitability with abundance was tested using linear models and quantile regression. We summarized the overall trend across species’ regression slopes from linear models and quantile regression using a meta‐analytical approach. Results We did not detect any positive relationships between a species’ mean local abundance and the size of its geographical range or climatic niche. Contrasting yet significant correlations were detected between abundance and centrality or climatic suitability among species. Main conclusions Our results do not provide unequivocal support for any of the relationships tested, demonstrating that determining properties of species’ distributions at large grains and extents might be of limited use for predicting local abundance, including current S

Published
2020

15. Benchmarking plant diversity of Palaearctic grasslands

Author

Biurrun, Idoia, Dengler, Jürgen, Pielech, R., Steinbauer, M.J., Marcenò, C., Guarino, R., Dembicz, Iwona, García-Mijangos, I., Burascano, S., and Kapfer, J.

Subjects
Plant diversity, Palaearctic grassland, 577: Ökologie
Abstract

Background and Aim: Knowledge on typical levels of plant species richness of plant communities is required both for fundamental research and biodiversity conservation. Vegetation ecologists and practitioners need reference richness values to be able to assess the diversity value of specific plant communities. Palaearctic grasslands, which cover around 22% of the realm surface, are known to host high plant diversity at small spatial scales, some of them being the world record holders. However, there are also some very species-poor Palaearctic grasslands. In any case, maximum and minimum richness values are only a small part of the story. It is evident that for a robust knowledge on plant diversity mean values averaged using many replicates are needed. As plant diversity is strongly dependent on spatial scale, here we aim at providing benchmarks of plant richness values of different Palaearctic grassland types at eight grain sizes: 0.0001 m2, 0.001 m2, 0.01 m2, 0.1 m2, 1 m2, 10 m2, 100 m2 and 1000 m2. Previous studies have already proved that richness of vascular plants, bryophytes and lichens is not congruent across vegetation types, therefore, besides total plant diversity, we aim to assess separately vascular and non-vascular plant diversity, as well as the two components of the latter, bryophytes and lichens. Location: Palaearctic grasslands and low-scrubs. Taxa: Vascular plants, bryophytes and lichens. Methods: We will use data extracted from the GrassPlot database, which stores standardized vegetation-plot data sampled in precisely delimited plots. They make a total of 117,777 plots of the eight standard grain sizes, which will be analysed together with 1,051 additional plots provided specifically for this survey by Milan Chytrý and other colleagues. The 118,828 plots span a wide range of grassland and low scrub types, including rocky, sandy, xeric, meso-xeric, mesic, wet, Mediterranean, and alpine grasslands, as well as heathlands, thorn-scrubs, ruderal communities and azonal grasslands such as dune grasslands, salt marshes, wetlands, and rocks and screes. All these vegetation types are distributed across eight biomes throughout the Palaearctic realm.

Published
2019

16. Il Reporting ex-Art. 17 degli Habitat di All. I alla Direttiva 92/43/CEE in Italia: metodi, criticità, stato dell'arte e prospettive future

Author

Gigante, D., Selvaggi, A., Acosta, A. T. R., Adorni, M., Allegrezza, M., Angiolini, C., Armiraglio, S., Assini, S., Attorre, F., Bagella, S., Barcella, M., Bazan, G., Bertacchi, A., Bolpagni, R., Bonari, G., Buffa, G., Caccianiga, M., Cacciatori, C., Caria, M. C., Casavecchia, S., Casella, L., Cerabolini, B. E. L., Ciaschetti, G., Ciccarelli, D., Cogoni, A., Cutini, M., De Sanctis, M., De Simone, W., Del Vecchio, S., Di Cecco, V., Di Martino, L., Di Musciano, M., Fantinato, E., Filesi, L., Foggi, B., Forte, L., Frattaroli, A. R., Galdenzi, D., Gangale, C., Gianguzzi, L., Giusso Del Galdo, G., Grignetti, A., Guarino, R., Lasen, C., Maneli, F., Marcenò, C., Mariotti, M. G., Oriolo, G., Paura, B., Perrino, E., Pesaresi, S., Pezzi, G., Pisanu, S., Poponessi, S., Prisco, I., Puglisi, M., Rivieccio, G., Sciandrello, S., Spampinato, G., Stinca, A., Strumia, S., Taffetani, F., Tesei, G., Tomaselli, V., Venanzoni, R., Viciani, D., Villani, M., Wagensommer, R., Zanatta, K., and Angelini, P.

Subjects
Habitat, conservation, Europeand Directive
Published
2019

17. An overview of the Italian forest biodiversity and its conservation level, based on the first outcomes of the 4th Habitat Report ex-Art. 17

Author

Gigante, D., Selvaggi, A., Acosta Alicia, T., Adorni, M., Allegrezza, M., Angiolini, C., Armiraglio, S., Assini, S., Attorre, F., Bagella, S., Barcella, M., Giuseppe Bazan, Bertacchi, A., Bolpagni, R., Bonari, G., Buffa, G., Caccianiga Marco Stefano, Cacciatori, C., Carmela, C., Casavecchia, S., Casella, L., Cerabolini Bruno, E., Ciaschetti, G., Ciccarelli, D., Cogoni, A., Cutini, M., De Sanctis Michele, De Simone Walter, Del Vecchio Silvia, Di Cecco Valter, Di Martino Luciano, Di Musciano Michele, Fantinato, E., Filesi, L., Foggi, B., Forte, L., Frattaroli Anna Rita, Galdenzi, D., Gangale, C., lorenzo gianguzzi, Giusso Del Galdo Gianpietro, Grignetti, A., Riccardo Guarino, Lasen, C., Maneli, F., Marcenò, C., Mariotti Mauro Giorgio, Oriolo, G., Paura, B., Perrino, E., Pesaresi, S., Pezzi, G., Pisanu, S., Poponessi, S., Prisco, I., Puglisi, M., Rivieccio, G., Sciandrello, S., Spampinato, G., Stinca, A., Strumia, S., Taffetani, F., Tesei, G., Tomaselli, V., Venanzoni, R., Viciani, D., Villani, M., Wagensommer Robert Philipp, Zanatta, K., Angelini, P., Società Botanica Italiana, Gigante, Daniela, Selvaggi, Alberto, Acosta Alicia, T. R., Adorni, Michele, Allegrezza, Marina, Angiolini, Claudia, Armiraglio, Stefano, Assini, Silvia, Attorre, Fabio, Bagella, Simonetta, Barcella, Matteo, Bazan, Giuseppe, Bertacchi, Andrea, Bolpagni, Rossano, Bonari, Gianmaria, Buffa, Gabriella, Caccianiga Marco, Stefano, Cacciatori, Cecilia, Caria Maria, Carmela, Casavecchia, Simona, Casella, Laura, Cerabolini Bruno, E. L., Ciaschetti, Giampiero, Ciccarelli, Daniela, Cogoni, Annalena, Cutini, Maurizio, De Sanctis, Michele, De Simone, Walter, Del Vecchio, Silvia, Di Cecco, Valter, Di Martino, Luciano, Di Musciano, Michele, Fantinato, Edy, Filesi, Leonardo, Foggi, Bruno, Forte, Luigi, Frattaroli Anna, Rita, Galdenzi, Diana, Gangale, Carmen, Gianguzzi, Lorenzo, Giusso Del Galdo, Gianpietro, Grignetti, Alessandra, Guarino, Riccardo, Lasen, Cesare, Maneli, Fabio, Marcenò, Corrado, Mariotti Mauro, Giorgio, Oriolo, Giuseppe, Paura, Bruno, Perrino, Enrico, Pesaresi, Simone, Pezzi, Giovanna, Pisanu, Stefania, Poponessi, Silvia, Prisco, Irene, Puglisi, Marta, Rivieccio, Giovanni, Sciandrello, Saverio, Spampinato, Giovanni, Stinca, Adriano, Strumia, Sandro, Taffetani, Fabio, Tesei, Giulio, Tomaselli, Valeria, Venanzoni, Roberto, Viciani, Daniele, Villani, Mariacristina, Wagensommer Robert, Philipp, Zanatta, Katia, Angelini, Paola, and Gigante Daniela, Selvaggi Alberto, Acosta Alicia T.R., Adorni Michele, Allegrezza Marina, Angiolini Claudia, Armiraglio Stefano, Assini Silvia, Attorre Fabio, Bagella Simonetta, Barcella Matteo, Bazan Giuseppe, Bertacchi Andrea, Bolpagni Rossano, Bonari Gianmaria, Buffa Gabriella, Caccianiga Marco Stefano, Cacciatori Cecilia, Caria Maria.Carmela, Casavecchia Simona, Casella Laura, Cerabolini Bruno E.L., Ciaschetti Giampiero, Ciccarelli Daniela, Cogoni Annalena, Cutini Maurizio, De Sanctis Michele, De Simone Walter, Del Vecchio Silvia, Di Cecco Valter, Di Martino Luciano, Di Musciano Michele, Fantinato Edy, Filesi Leonardo, Foggi Bruno, Forte Luigi, Frattaroli Anna Rita, Galdenzi Diana, Gangale Carmen, Gianguzzi Lorenzo, Giusso Del Galdo Gianpietro, Grignetti Alessandra, Guarino Riccardo, Lasen Cesare, Maneli Fabio, Marcenò Corrado, Mariotti Mauro Giorgio, Oriolo Giuseppe, Paura Bruno, Perrino Enrico, Pesaresi Simone, Pezzi Giovanna, Pisanu Stefania, Poponessi Silvia, Prisco Irene, Puglisi Marta, Rivieccio Giovanni, Sciandrello Saverio, Spampinato Giovanni, Stinca Adriano, Strumia Sandro, Taffetani Fabio, Tesei Giulio, Tomaselli Valeria, Venanzoni Roberto, Viciani Daniele, Villani Mariacristina, Wagensommer Robert Philipp, Zanatta Katia, Angelini Paola

Subjects
Habitat, Habitat, Italian forests, Vegetation Science, Natura 2000, Biodiversity conservation, Italian forests
Abstract

In 2019 the 4th Report ex-Art. 17 on the conservation status (CS) of Annex I Habitats of the 92/43/EEC Directive was expected by every EU/28 country, with reference to the period 2013-18. In Italy, the process was in charge to the Italian Institute for Environmental Protection and Research (ISPRA), on behalf of the Ministry for Environment, Land and Sea Protection (MATTM), with the scientific support of the Italian Botanical Society (SBI). A large group of thematic and territorial experts elaborated the available data concerning the 124 types of terrestrial and inland water Habitats present in Italy, 39 of which are represented by Forest Habitats (Group 9),. The main aim of the work was the evaluation of the overall CS of each Habitat by Biogeographic Region (Mediterranean, Continental and Alpine), for a total amount of 294 assessments. A high proportion of these (92, corresponding to 31% of the total) referred to Forest Habitats, including 20 marginal types for which the CS was not requested. The analysis was carried out at different scales: a) administrative territory, through the data contained in the ISPRA database, whose compilation was in charge to the Regions and Autonomous Provinces; b) Natura 2000 site, with the latest updates available (Standard Data Forms updated to 2018); c) national scale, implementing the distribution maps for each Habitat based on the European grid ETRS89-LAEA5210 (10x10 km2 mesh); d) Biogeographic Region, scale of the final assessment. Cartographic outcomes, associated databases and additional data used for the assessments will be available online on the ISPRA Portal as soon as the validation process by the European Commission will be completed. A dedicated archive named "HAB_IT" has been created in the national database "VegItaly" (1), managed by the Italian Society of Vegetation Science, where the phytosociological relevés representative of the various Annex I Habitats in Italy will be archived and freely accessible. An overview of the results regarding the Forest habitats is here provided, including a comparison with the outcomes of the former reporting cycle, the 3rd Report ex-Art. 17 (2). In several cases (e.g. 9120, 91L0), the distribution maps have been remarkably improved due to better knowledge and more fitful interpretation. The conservation status resulted as Favourable (FV) for 6,7%, Inadequate (U1) for 58,7% and Bad (U1) for 32,0% of the 72 assessed forest Habitat types. In no case there was an improvement of the conservation status, while in 6 cases a worsening of the conditions resulted from the data analysis, pointing out the Habitats types with a higher need of action. Similarly to other projects carried out as a team by the network of Annex I Habitat experts of the Italian Botanical Society and the Italian Society for Vegetation Science (e.g. 3, 4), this is another step in the direction of supporting the implementation of the 92/43/EEC "Habitat" Directive in Italy and Europe. On this ground, the high biodiversity of the Italian forest Habitats could be emphasized, however results pointed out that some rare or endemic types (e.g. Alnus cordata or Betula aetnensis-dominated forests) are still scarcely acknowledged by the most prominent EU conservation tools such as the Annex I to the "Habitat" Directive. 1) F. Landucci et al. (2012) Plant Biosyst., 146(4), 756-763 2) P. Genovesi et al. (2014) ISPRA, Serie Rapporti, 194/2014 3) E. Biondi et al. (2009) Società Botanica Italiana, MATTM, D.P.N., http://vnr.unipg.it/habitat/ 4) D. Gigante et al. (2016) Plant Sociology, 53(2), 77-87

Published
2019

18. An overview of the Italian forest biodiversity and its conservation level, based on the first outcomes of the 4th Habitat Report ex-Art. 17. Communication IX

Author

Gigante, D., Selvaggi, A., Acosta, A. T. R., Adorni, M., Allegrezza, M., Angiolini, C., Armiraglio, S., Assini, S., Attorre, F., Bagella, S., Barcella, M., Bazan, G., Bertacchi, A., Bolpagni, R., Bonari, G., Buffa, G., Caccianiga, M., Cacciatori, C., Caria, M. C., Casavecchia, S., Casella, L., Cerabolini, B. E. L., Ciaschetti, G., Ciccarelli, D., Cogoni, A., Cutini, M., De Sanctis, M., De Simone, W., Del Vecchio, S., Di Cecco, V., Di Martino, L., Di Musciano, M., Fantinato, E., Filesi, L., Foggi, B., Forte, L., Frattaroli, A. R., Galdenzi, D., Gangale, C., Gianguzzi, L., Giusso Del Galdo, G., Grignetti, A., Guarino, R., Lasen, C., Maneli, F., Marcenò, C., Mariotti, M. G., Oriolo, G., Paura, B., Perrino, E., Pesaresi, S., Pezzi, G., Pisanu, S., Poponessi, S., Prisco, I., Puglisi, M., Rivieccio, G., Sciandrello, S., Spampinato, G., Stinca, A., Strumia, S., Taffetani, F., Tesei, G., Tomaselli, V., Venanzoni, R., Viciani, D., Villani, M., Wagensommer, R., Zanatta, K., and Angelini, P.

Subjects
Habitat, forests, conservation, monitoring, 92/43/EEC
Published
2019

19. A formal classification of the Lygeum spartum vegetation of the Mediterranean Region

Author

Marcenò, C., Guarino, R., Mucina, L., Biurrun, I., Deil, U., Shaltout, K., Finckh, M., Font, X., Loidi, J., Jansen, F., Marcenò, C., Guarino, R., Mucina, L., Biurrun, I., Deil, U., Shaltout, K., Finckh, M., Font, X., Loidi, J., and Jansen, F.

Abstract

Aims: We examined all available literature and some unpublished data on the We examined all available literature and some unpublished data on the grasslands dominated by Lygeum spartum from Southern Europe and North Africa to produce a formalised classification of this vegetation and to identify the main factors determining its plant species composition. Location: Mediterranean Basin and Iberian Peninsula. Methods: We used a dataset of 728 relevés, which were resampled to reduce unbalanced sampling effort, resulting in a dataset of 568 relevés and 846 taxa. We classified the plots by TWINSPAN, interpreted the resulting pools, and used them to develop formal definitions of phytosociological alliances characterised by L. spartum vegetation. The definitions were included in an expert system to assist automatic vegetation classification. We related the alliances to climatic factors and described their biogeographical features and ecological preferences. The floristic relationships between these alliances were analysed and visualised using distance-based redundancy analysis. Results: We defined eleven alliances of L. spartum vegetation, including the newly described Launaeo laniferae–Lygeion sparti from SW Morocco and the Noaeo mucronatae–Lygeion sparti from the Algerian highlands and NE Morocco. Biogeographical, climatic, and edaphic factors were revealed as putatively driving the differentiation between the alliances. Vegetations of clayey slopes and inland salt basins displayed higher variability in comparison with those of coastal salt marshes. Main conclusions: A comprehensive formal classification, accompanied by an expert system, of the grasslands from Southern Europe and North Africa dominated by Lygeum spartum vegetation was formulated. Eleven phytosociological alliances were recognised, whose plant species composition is influenced by biogeographic, climatic, and edaphic drivers. The expert system, containing formal definitions of the phytosociological alliance

Published
2019

20. Species–area relationships in continuous vegetation: Evidence from Palaearctic grasslands

Author

Dengler, J., Matthews, T.J., Steinbauer, M.J., Wolfrum, S., Boch, S., Chiarucci, A., Conradi, T., Dembicz, I., Marcenò, C., García‐Mijangos, I., Nowak, A., Storch, D., Ulrich, W., Campos, J.A., Cancellieri, L., Carboni, M., Ciaschetti, G., De Frenne, P., Dolezal, J., Dolnik, C., Essl, F., Fantinato, E., Filibeck, G., Grytnes, J.-A., Guarino, R., Güler, B., Janišová, M., Klichowska, E., Kozub, Ł., Kuzemko, A., Manthey, M., Mimet, Anne, Naqinezhad, A., Pedersen, C., Peet, R.K., Pellissier, Vincent, Pielech, R., Potenza, G., Rosati, L., Terzi, M., Valkó, O., Vynokurov, D., White, H., Winkler, M., Biurrun, I., Dengler, J., Matthews, T.J., Steinbauer, M.J., Wolfrum, S., Boch, S., Chiarucci, A., Conradi, T., Dembicz, I., Marcenò, C., García‐Mijangos, I., Nowak, A., Storch, D., Ulrich, W., Campos, J.A., Cancellieri, L., Carboni, M., Ciaschetti, G., De Frenne, P., Dolezal, J., Dolnik, C., Essl, F., Fantinato, E., Filibeck, G., Grytnes, J.-A., Guarino, R., Güler, B., Janišová, M., Klichowska, E., Kozub, Ł., Kuzemko, A., Manthey, M., Mimet, Anne, Naqinezhad, A., Pedersen, C., Peet, R.K., Pellissier, Vincent, Pielech, R., Potenza, G., Rosati, L., Terzi, M., Valkó, O., Vynokurov, D., White, H., Winkler, M., and Biurrun, I.

Abstract

Aim Species–area relationships (SARs) are fundamental scaling laws in ecology although their shape is still disputed. At larger areas, power laws best represent SARs. Yet, it remains unclear whether SARs follow other shapes at finer spatial grains in continuous vegetation. We asked which function describes SARs best at small grains and explored how sampling methodology or the environment influence SAR shape. Location Palaearctic grasslands and other non‐forested habitats. Taxa Vascular plants, bryophytes and lichens. Methods We used the GrassPlot database, containing standardized vegetation‐plot data from vascular plants, bryophytes and lichens spanning a wide range of grassland types throughout the Palaearctic and including 2,057 nested‐plot series with at least seven grain sizes ranging from 1 cm2 to 1,024 m2. Using nonlinear regression, we assessed the appropriateness of different SAR functions (power, power quadratic, power breakpoint, logarithmic, Michaelis–Menten). Based on AICc, we tested whether the ranking of functions differed among taxonomic groups, methodological settings, biomes or vegetation types. Results The power function was the most suitable function across the studied taxonomic groups. The superiority of this function increased from lichens to bryophytes to vascular plants to all three taxonomic groups together. The sampling method was highly influential as rooted presence sampling decreased the performance of the power function. By contrast, biome and vegetation type had practically no influence on the superiority of the power law. Main conclusions We conclude that SARs of sessile organisms at smaller spatial grains are best approximated by a power function. This coincides with several other comprehensive studies of SARs at different grain sizes and for different taxa, thus supporting the general appropriateness of the power function for modelling species diversity over a wide range of grain sizes. The poor performance of the M

Published
2019

21. 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

22. Habitat conservation in Italy: the state of the art in the light of the first European Red List of Habitats. In: Diversity patterns across communities in the frame of global change: conservation challenges, Abstracts, 26th Congress of the European Vegetation Survey, Bilbao (Spain)

Author

Gigante, D, Acosta, Atr, Agrillo, E, Armiraglio, S, Assini, Sp, Attorre, F, Bagella, S, Buffa, G, Casella, L, Giancola, C, Giusso Del Galdo Gp, Marcenò, C, Pezzi, G, Venanzoni, R, and Viciani, Daniele

Subjects
Habitat Red List, Italy, Conservation
Published
2017

23. Can Predictive Vegetation Modeling be a useful tool to support Vegetation Classification?

Author

ATTORRE, F., AGRILLO, E, ALESSI, N, CAMBRIA, VE, DE SANCTIS, M, FANELLI, G, FRANCESCONI, F, MARCENÒ, C, MASSIMI, M, SCARNATI, L, SPADA, F, VALENTI, R., GUARINO, Riccardo, ATTORRE, F., AGRILLO, E, ALESSI, N, CAMBRIA, VE, DE SANCTIS, M, FANELLI, G, FRANCESCONI, F, GUARINO, R, MARCENÒ, C, MASSIMI, M, SCARNATI, L, SPADA, F, and VALENTI, R

Subjects
Syntaxonomy, classification, PVM, vegetation
Published
2014

24. 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

25. Classifying plant communities and mapping their potential distribution using very large, heterogeneous, georeferenced datasets: the case study of the forest vegetation in the Italian peninsula

Author

Attorre, F, Agrillo, E, Alessi, N, Cambria, VE, De Sanctis, M, Fanelli, G, Francesconi, F, Marcenò, C, Massimi, M, Scarnati, L, Spada, F, Valenti, R., GUARINO, Riccardo, Attorre, F, Agrillo, E, Alessi, N, Cambria, VE, De Sanctis, M, Fanelli, G, Francesconi, F, Guarino, R, Marcenò, C, Massimi, M, Scarnati, L, Spada, F, and Valenti, R

Subjects
Phytosociology, Italy, data-base, forest vegetation, classification, Settore BIO/03 - Botanica Ambientale E Applicata
Abstract

In recent years, the scientific community has made significant efforts in order to create geo­referenced vegetation databases (Global Index of Vegetation Plot Databases). These databases are useful to carry out assessments of the state of bio­ diversity, conservation of species and habitats, dispersion of alien species and as a support for the planning of land and protected areas. In this context, Italy has given birth to its own project called VegItaly, coordinated by the Italian Society of Vegetation Science and conducted by several research groups, in order to develop a uniform database for the entire country. Within this framework we have created a georeferenced database of phytosociological relevés of forest vegetation. This work was conducted in three main steps: digitalizing published phytosociological relevés, georeferencing them using indications on their location and topographical features, and updating species nomenclature according to the more recent checklist. In this way, we obtained a database of 5593 georeferenced relevés for insular and penin­ sular Italy. This database was then used to identify and map the main forest com­ munities in the study area. For the classification process we used a finite mixture model that is particularly suitable to this purpose since it is able to integrate in the classificatory process species composition, environmental variables and the spatial distribution of the relevés. The application of this method led to the identification of 20 forest communities that represent the remarkable biological diversity in pen­ insular and insular Italy. This variability is characterized by the presence of central temperate European communities, sub­Mediterranean ones with marked Balkan influences and typically Mediterranean ones. The final step was mapping the poten­ tial distribution of these forest communities using only the environmental variables and validating the map by means of the georeferenced relevés. Results indicate the sub­Mediterranean forest communities being characterized by a lower classification accuracy with respect to the other two macro­typologies. Despite the intrinsic limi­ tations of natural potential vegetation mapping, we believe that our approach can produce maps useful for small­scale landscape planning and nature conservation activities, being based on a replicable and standardized procedure that could be ap­ plied when georeferenced relevés are available.

Published
2014

32. 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

36. Assessing plant diversity and composition in grasslands across spatial scales: the standardised EDGG sampling methodology

Author

Dengler, J., Boch, S., Filibeck, G., Chiarucci, A., Dembicz, I., Riccardo Guarino, Henneberg, B., Janišová, M., Marcenò, C., Naqinezhad, A., Polchaninova, N., Vassilev, K., Biurrun, I., Dengler, J, Boch, S., Filibeck, G, Chiarucci, A, Dembicz, I, Guarino, R, Henneberg, B, Janišová, M, Marcenò, C, Naqinezhad, A, Polchaninova, NY, Vassilev, K, and Biurrun, I

Subjects
bryophyte, scale‐ dependence, vegetation‐environment relationship, multi‐taxon study, vegetation sampling, invertebrate, Settore BIO/03 - Botanica Ambientale E Applicata, methodology, relevé, species richne, lichen, EDGG Biodiversity Plot, biodiversity
Abstract

This paper presents the details of the EDGG sampling methodology and its underlying rationales. The methodology has been applied during EDGG Research Expeditions and EDGG Field Workshops since 2009, and has been subsequently adopted by various other researchers. The core of the sampling are the EDGG Biodiversity Plots, which are 100‐m2 squares comprising, in two opposite corners, nested‐plot series of 0.0001, 0.001, 0.01, 0.1, 1 and 10 m2 square plots, in which all terricolous vascular plants, bryophytes and lichens are recorded using the shoot presence method. In the 10‐m2 plots, species cover is also estimated as a percentage and various environmental and structural parameters are recorded. Usually the EDGG Biodiversity Plots are complemented by the sampling of additional 10 m2 normal plots with the same parameters as the 10‐m2 corners of the first, allowing coverage of a greater environmental diversity and the achievement of higher statistical power in the subsequent analyses for this important grain size. The EDGG sampling methodology has been refined over the years, while its core has turned out to generate high‐quality, standardised data in an effective manner, which facilitates a multitude of analyses. In this paper we provide the current versions of our guidelines, field forms and data entry spreadsheets, as open‐access Online Resources to facilitate the easy implementation of this methodology by other researchers. We also discuss potential future additions and modifications to the approach, among which the most promising are the use of stratified‐random methods to a priori localise the plots and ideas to sample invertebrate taxa on the same plots and grain sizes, such as grasshoppers (Orthoptera) and vegetation‐dwelling spiders (Araneae). As with any other method, the EDGG sampling methodology is not ideal for every single purpose, but with its continuous improvements and its flexibility, it is a good multi‐ purpose approach. A particularly advantageous element, lacking in most other sampling schemes, including classical phytosociogical sampling, is the multi‐scale and multi‐taxon approach, which provides data that allow for deeper understanding of the generalities and idiosyncrasies of biodiversity patterns and their underlying drivers across scales and taxa.

39. 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.

40. 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.

41. 53° Congresso della Società Italiana di scienza della vegetazione. Gestione sostenibile degli habitat: plant traits, biodiversità e servizi ecosistemici. Abstract book

Author

D. Gigante, A. Selvaggi, A. T. R. Acosta, M. Adorni, M. Allegrezza, C. Angiolini, S. Armiraglio, S. Assini, F. Attorre, S. Bagella, M. Barcella, G. Bazan, A. Bertacchi, R. Bolpagni, G. Bonari, G. Buffa, M. Caccianiga, C. Cacciatori, M. C. Caria, S. Casavecchia, L. Casella, B. E. L. Cerabolini, G. Ciaschetti, D. Ciccarelli, A. Cogoni, M. Cutini, M. De Sanctis, W. De Simone, S. Del Vecchio, V. Di Cecco, L. Di Martino, M. Di Musciano, E. Fantinato, L. Filesi, B. Foggi, L. Forte, A. R. Frattaroli, D. Galdenzi, C. Gangale, L. Gianguzzi, G. Giusso Del Galdo, A. Grignetti, R. Guarino, C. Lasen, F. Maneli, C. Marcenò, M. G. Mariotti, G. Oriolo, B. Paura, E. Perrino, S. Pesaresi, G. Pezzi, S. Pisanu, S. Poponessi, I. Prisco, M. Puglisi, G. Rivieccio, S. Sciandrello, G. Spampinato, A. Stinca, S. Strumia, F. Taffetani, G. Tesei, V. Tomaselli, R. Venanzoni, D. Viciani, M. Villani, R. Wagensommer, K. Zanatta, P. Angelini, Società Italiana di Scienza della Vegetazione, Gigante, D., Selvaggi, A., Acosta, A. T. R., Adorni, M., Allegrezza, M., Angiolini, C., Armiraglio, S., Assini, S., Attorre, F., Bagella, S., Barcella, M., Bazan, G., Bertacchi, A., Bolpagni, R., Bonari, G., Buffa, G., Caccianiga, M., Cacciatori, C., Caria, M. C., Casavecchia, S., Casella, L., Cerabolini, B. E. L., Ciaschetti, G., Ciccarelli, D., Cogoni, A., Cutini, M., De Sanctis, M., De Simone, W., Del Vecchio, S., Di Cecco, V., Di Martino, L., Di Musciano, M., Fantinato, E., Filesi, L., Foggi, B., Forte, L., Frattaroli, A. R., Galdenzi, D., Gangale, C., Gianguzzi, L., Giusso Del Galdo, G., Grignetti, A., Guarino, R., Lasen, C., Maneli, F., Marcenò, C., Mariotti, M. G., Oriolo, G., Paura, B., Perrino, E., Pesaresi, S., Pezzi, G., Pisanu, S., Poponessi, S., Prisco, I., Puglisi, M., Rivieccio, G., Sciandrello, S., Spampinato, G., Stinca, A., Strumia, S., Taffetani, F., Tesei, G., Tomaselli, V., Venanzoni, R., Viciani, D., Villani, M., Wagensommer, R., Zanatta, K., and Angelini, P.

Published
2019

42. Biogeographic variability of coastal perennial grasslands at the European scale

Author

Rossen Tzonev, John Janssen, John S. Rodwell, Gabriella Buffa, Edy Fantinato, Frédéric Bioret, S. Del Vecchio, Corrado Marcenò, Alicia Teresa Rosario Acosta, I. Prisco, Del Vecchio, S., Fantinato, E., Janssen, J. A. M., Bioret, F., Acosta, A., Prisco, I., Tzonev, R., Marcenò, C., Rodwell, J., and Buffa, G.

Subjects
0106 biological sciences, Mediterranean climate, Foredune, dune habitats, Range (biology), Bos- en Landschapsecologie, 01 natural sciences, Grassland, Dune habitat, climatic gradient, Forest and Landscape Ecology, Humid continental climate, geography.geographical_feature_category, Ecology, Vegetation gradient, Azonal habitat, Vegetation, Native plant, PE&RC, Habitat classification, Vegetation structure, Geography, vegetation gradient, habitat classification, endemism, Vegetatie, Bos- en Landschapsecologie, Endemism, Settore BIO/03 - Botanica Ambientale e Applicata, Dune habitats, Climate change, Management, Monitoring, Policy and Law, azonal habitats, 010603 evolutionary biology, Phytosociological data, Meta-analysi, vegetation structure, 14. Life underwater, Vegetatie, Nature and Landscape Conservation, 15. Life on land, meta-analysis, Meta-analysis, Climatic gradient, 13. Climate action, Vegetation, Forest and Landscape Ecology, Azonal habitats, phytosociological data, 010606 plant biology & botany, Azonal habitats, Climatic gradient, Dune habitats, Endemism, Habitat classification, Meta-analysis, Phytosociological data, Vegetation gradient, Vegetation structure
Abstract

Question: Coastal environments have often been described as azonal. While this characteristic is clear for the foredune system, it seems less evident for more inland fixed dunes, which host habitats of major conservation concern, whose features seem to be more related to local climatic conditions. We hypothesized that, unlike other coastal habitats, dune perennial grasslands differ floristically and structurally across their European range and that patterns of variation are linked to the corresponding climate. Location: European coasts (Atlantic Ocean, Baltic, Mediterranean, Black Sea). Methods: We used a large data set of phytosociological relevés, representative of coastal grasslands throughout their European range. The role of climatic variables (temperature, precipitation and continentality) in determining the variability in species composition and vegetation structure (by means of life forms) was investigated through CCA, DCA and GLM. The degree of concentration of species occurrences within groups was calculated through the Phi coefficient. Results: Through multivariate analyses we identified seven major types of coastal grassland, corresponding to different geographic areas. The groups significantly differed in their climatic envelope, as well as in their species composition and community structure. Conclusion: Our results confirm the hypothesis that coastal dune perennial grasslands are subjected to local climate, which exerts significant effects on both floristic composition and community structure. As a consequence, coastal grasslands are particularly prone to the effect of possible climate change, which may alter species composition and distribution, and lead to shifts in the distribution of native plant communities.

Published
2018

43. Habitat conservation in Italy: the state of the art in the light of the first European Red List of Terrestrial and Freshwater Habitats

Author

Emiliano Agrillo, Luigi Casella, Stefano Armiraglio, Gabriella Buffa, C Giancola, Giovanna Pezzi, Daniele Viciani, Alicia Teresa Rosario Acosta, Simonetta Bagella, I. Prisco, Gianpietro Giusso del Galdo, Roberto Venanzoni, Silvia Paola Assini, Fabio Attorre, Corrado Marcenò, Daniela Gigante, Gigante, D., Acosta, A. T. R., Agrillo, E., Armiraglio, S., Assini, S., Attorre, F., Bagella, S., Buffa, G., Casella, L., Giancola, C., Giusso del Galdo, G. P., Marcenò, C., Pezzi, G., Prisco, Irene, Venanzoni, R., Viciani, D., Acosta, A.T.R., Giusso Del Galdo, G.P., and Prisco, I.

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Biodiversity, Distribution (economics), Plant community, Assessment, 010603 evolutionary biology, 01 natural sciences, Critically endangered, Risk of extinction, IUCN Red List, Threat, 0105 earth and related environmental sciences, General Environmental Science, business.industry, Environmental resource management, Habitat conservation, Vegetation, Assessment · Biodiversity · Plant community · Risk of extinction · Threat, Geography, Habitat, Agricultural and Biological Sciences (all), 2300, Earth and Planetary Sciences (all), General Earth and Planetary Sciences, General Agricultural and Biological Sciences, business, Settore BIO/03 - Botanica Ambientale e Applicata
Abstract

The importance of taking into account ecosystems, plant communities and habitats for the development of biodiversity conservation strategies is increasingly acknowledged. Recently, the first ever European Red List of Habitats was produced, which provided an evaluation of the extinction risk of EUNIS-based natural and semi-natural habitats in Europe. As assessment unit, it used the habitat intended as a plant community, thus representing a landmark for the role of vegetation science in nature conservation. In the present paper, the results of the European Red List of Habitats are analyzed at the national scale with specific reference to the terrestrial and freshwater habitat types occurring in Italy. More than three-quarters of the assessed European habitat types were recognized for the Italian territory. The distribution of the threat categories reflects approximately the situation at the EU28 level. About 35% of the assessed habitat types are referred to a threat category; no critically endangered habitat is present in Italy. The most frequently used criteria are those related to a reduction in quantity. Some critical issues arising from the analyses are discussed. In particular, the presence of knowledge gaps is pointed out, with remarkable reference to the poor availability of spatial and quantitative data, severely affecting the application of the criteria adopted for the assessment. Descriptions of habitat types from Italy are reported, some of which are representative, emblematic or even exclusive to the Italian territory. The outcomes of the analysis represent the starting point for the future development of a national-scale Red List of Habitats. Results also emphasized how habitat types with a too broad definition pose a limit to a proper evaluation of the regional biogeographic variability, often very high in Italy, with local floristic and phytocoenotic peculiarities which do not find room in the adopted European typology. This is the reason why the development of national subtypes stands as a necessary step for the development of a realistic and effective assessment at the national scale.

Published
2018

44. Regional metacommunities in two coastal systems: spatial structure and drivers of plant assemblages

Author

Milan Chytrý, Borja Jiménez-Alfaro, Corrado Marcenò, Riccardo Guarino, JIMENEZ-ALFARO, B, MARCENÒ, C, GUARINO, R, and CHYTRY, M

Subjects
vegetation databases, Metacommunity, Mediterranean climate, Distance decay, dune habitats, metacommunity, Ecology, Community assembly, distance decay, Species sorting, environmental filtering, 15. Life on land, dispersal limitation, Sand dune stabilization, Geography, Habitat, Spatial ecology, Ordination, 14. Life underwater, species sorting, Community assembly, dispersal limitation, distance decay, dune habitats, environmental filtering, Iberian Peninsula, metacommunity, species sorting, vegetation databases, Ecology, Evolution, Behavior and Systematics, Iberian Peninsula
Abstract

Aim Biogeographical patterns in metacommunities are still poorly understood, and different processes are expected to occur in different habitats. We analysed the regional plant metacommunities of coastal habitats to test whether (1) the influence of space and climate differs between two habitats differentiated along the seashore–inland gradient, and (2) regional variation in species composition of these habitats can be ascribed to different metacommunity paradigms. Location The entire coast of the Iberian Peninsula, south-western Europe. Methods We collected data on the plant species composition of coastal sites on sand dunes across 3000 km of coastline. The sites were classified into two habitats corresponding to shifting and stable sand dunes, and divided into three distinct geographical regions: Cantabrian, Atlantic and Mediterranean. We assessed the geographical structure of the species composition using ordination, estimates of species turnover and spatial autocorrelation. We then used multivariate models and variation partitioning to test the influence of climatic and spatial effects. Analyses were conducted for the whole data set and the geographical subsets. Results Metacommunities from shifting and stable dunes showed similar spa- tial patterns, with the highest species turnover occurring in the Mediterranean region. Similarities between communities that were nearer each other (typically < 100 km) were weaker in shifting than in stable dunes, although the distance decay for sites that were further apart was similar in both habitats. Variation in species composition in shifting dunes was mainly explained by distance and climate, while in stable dunes the effect of climate was clearly dominant. The observed differences were relatively consistent across geographical regions. Main conclusions Distinct processes structure the metacommunities in two dune habitats differentiated along the seashore–inland gradient. Communities of shifting dunes seem to be structured by an interplay of neutral or patch-dynamic processes and to a lesser degree by species sorting. In contrast, communities of stable dunes are mainly governed by species sorting in response to climatic gradi- ents. These results highlight the importance of differentiating habitats according to local ecological factors when analysing regional patterns in metacommunities.

Published
2014

45. 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

46. A test on Ellenberg indicator values in the Mediterranean evergreen woods (Quercetea ilicis)

Author

Riccardo Guarino, Corrado Marcenò, Marcenò, C., and Guarino, R.

Subjects
Mediterranean climate, Maquis, Mediterranean, Ecological indicator, Shrubland, Ecological indicators, Scrublands, Sicily, General Environmental Science, geography.geographical_feature_category, Ecology, Forestry, Vegetation, Evergreen, Scrubland, Quercetea ilicis, Maqui, Geography, Agricultural and Biological Sciences (all), Earth and Planetary Sciences (all), 2300, General Earth and Planetary Sciences, Indicator value, General Agricultural and Biological Sciences, Quercetea ilici
Abstract

The consistency and reliability of Ellenberg’s indicator values (Eiv) as ecological descriptors of the Mediterranean evergreen vegetation ascribed to the phytosociological class Quercetea ilicis have been checked on a set of 859 phytosociological releves × 699 species. Diagnostic species were identified through a Twinspan analysis and their Eiv analyzed and related to the following independent variables: (1) annual mean temperatures, (2) annual rainfall. The results provided interesting insights to disentangle the current syntaxonomical framework at the alliance level demonstrating the usefulness of ecological indicator values to test the efficiency and predictivity of the phytosociological classification.

Published
2015

48. Thirty years unmanaged green roofs: Ecological research and design implications

Author

Chiara Catalano, Riccardo Guarino, Corrado Marcenò, Vito Armando Laudicina, Catalano, C., Marcenò, C., Laudicina, V., and Guarino, R.

Subjects
0106 biological sciences, Seed dispersal, Green roof, Settore AGR/13 - Chimica Agraria, Simple-intensive green roofs, Temperate ecosystems, Long term dynamics, Plant functional traits, Urban biodiversity, Descriptors, 010501 environmental sciences, Management, Monitoring, Policy and Law, Biology, 010603 evolutionary biology, 01 natural sciences, 333: Bodenwirtschaft und Ressourcen, Simple-intensive green roofs Temperate ecosystems Long term dynamics Functional traits Urban biodiversity Descriptors, Ruderal species, 577: Ökologie, 0105 earth and related environmental sciences, Nature and Landscape Conservation, Ecology, Species diversity, Plant community, 15. Life on land, biology.organism_classification, Urban Studies, Settore BIO/03 - Botanica Ambientale E Applicata, Nestedness, Festuca ovina, Festuca rubra
Abstract

The variations in species composition and assemblage of unmanaged simple-intensive green roofs in Hannover, Germany, were investigated over a thirty year period, in order to assess the persistence of the initial seed mixture and to evaluate floristic changes. The roofs were greened in 1985 with soil-based turf rolls sown with a mixture of five grasses (Festuca rubra, Festuca ovina, Agrostis capillaris, Lolium perenne and Poa pratensis). Three sets of 120 phytosociological releves, sampled in 1987, 1999 and 2014, have been compared to assess: (1) nestedness vs spatial turnover, (2) functional diversity and (3) the importance of vegetation dynamics on green roof performance and design. Results demonstrated that from 1987 to 1999 the species diversity increased and the species turnover prevailed over nestedness, due to the progressive niche occupation by new species. In contrast, from 1999 to 2014 species diversity remained steady, suggesting that nestedness prevailed over species turnover. The main driver of the observed functional changes was a shift towards relatively more thermoxeric conditions. In terms of plant life strategies, the competitive species sown on the roof gradually gave way to stress-tolerant and ruderal species, along with a progressive increase in species with shortdistance seed dispersal strategies. It is concluded that: (a) to create resilient green roofs, spontaneous colonisation should be accepted and considered as a design factor; and (b) regional plant communities could serve as a model for seed recruitment and installations.

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49. A multifaceted field sampling approach for the management of extremely narrow endemic vascular plant species.

Author

Marcenò C, Gristina AS, Pasta S, Garfì G, Scuderi L, Fazan L, Perraudin V, Kozlowski G, Laudicina VA, Venanzoni R, and Guarino R

Abstract

Extremely narrow endemic plant species (ENEs) are generally connected with microrefugia characterized by particular environmental conditions. In-depth knowledge of the ecological requirements of ENEs is fundamental to plan appropriate conservation measures. Using cross-cutting technology, this paper gives a multifaceted approach to collect on-site data on the ecology of ENEs, defines the protocols for a correct sampling design and describes the type of equipment, the time and expenditure needed. Our sampling approach is based on two orthogonal transects, long enough to extrapolate the whole ecological gradient across the area of occupancy of the target species. Microclimatic data are recorded all along the transects through iButton technology, plus a weather station installed at the intersection of the transects. Microtopographic data are recorded with high-resolution digital elevation model and sub-metric GPS. Edaphic data are recorded along the transects through standard soil analyses and on-site evaluation of the seasonal decomposition rate of organic matter. Additionally, vegetation sampling in 4 m 2 plots and on-site germination tests allow to collect data on auto- and synecological factors that regulate the life cycle of the target species. Our approach has proved to be cost-effective and efficient in terms of time spent in the field against the data collected. The most demanding activities were the establishment of the transects and the vegetation sampling. The time spent downloading microclimatic data and testing seed germination was relatively short. Our sampling design allows: (i) to catch as much micro-topographic variability as possible, both within and out of the tolerance range of the target species, (ii) to minimize the risk of recording identical micro-topographic conditions compared with a random sampling scheme, and (iii) to ensure quick and relatively easy retrieval of the plots and the equipment both on a multi-seasonal and multi-annual basis., Competing Interests: The authors have no conflicts of interest to disclose., (© 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)

Published
2022
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50. Dimensions of invasiveness: Links between local abundance, geographic range size, and habitat breadth in Europe's alien and native floras.

Author

Fristoe TS, Chytrý M, Dawson W, Essl F, Heleno R, Kreft H, Maurel N, Pergl J, Pyšek P, Seebens H, Weigelt P, Vargas P, Yang Q, Attorre F, Bergmeier E, Bernhardt-Römermann M, Biurrun I, Boch S, Bonari G, Botta-Dukát Z, Bruun HH, Byun C, Čarni A, Carranza ML, Catford JA, Cerabolini BEL, Chacón-Madrigal E, Ciccarelli D, Ćušterevska R, de Ronde I, Dengler J, Golub V, Haveman R, Hough-Snee N, Jandt U, Jansen F, Kuzemko A, Küzmič F, Lenoir J, Macanović A, Marcenò C, Martin AR, Michaletz ST, Mori AS, Niinemets Ü, Peterka T, Pielech R, Rašomavičius V, Rūsiņa S, Dias AS, Šibíková M, Šilc U, Stanisci A, Jansen S, Svenning JC, Swacha G, van der Plas F, Vassilev K, and van Kleunen M

Subjects
Ecosystem, Europe, Introduced Species, Phylogeography, Plants classification
Abstract

Understanding drivers of success for alien species can inform on potential future invasions. Recent conceptual advances highlight that species may achieve invasiveness via performance along at least three distinct dimensions: 1) local abundance, 2) geographic range size, and 3) habitat breadth in naturalized distributions. Associations among these dimensions and the factors that determine success in each have yet to be assessed at large geographic scales. Here, we combine data from over one million vegetation plots covering the extent of Europe and its habitat diversity with databases on species' distributions, traits, and historical origins to provide a comprehensive assessment of invasiveness dimensions for the European alien seed plant flora. Invasiveness dimensions are linked in alien distributions, leading to a continuum from overall poor invaders to super invaders-abundant, widespread aliens that invade diverse habitats. This pattern echoes relationships among analogous dimensions measured for native European species. Success along invasiveness dimensions was associated with details of alien species' introduction histories: earlier introduction dates were positively associated with all three dimensions, and consistent with theory-based expectations, species originating from other continents, particularly acquisitive growth strategists, were among the most successful invaders in Europe. Despite general correlations among invasiveness dimensions, we identified habitats and traits associated with atypical patterns of success in only one or two dimensions-for example, the role of disturbed habitats in facilitating widespread specialists. We conclude that considering invasiveness within a multidimensional framework can provide insights into invasion processes while also informing general understanding of the dynamics of species distributions., Competing Interests: The authors declare no competing interest.

Published
2021
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