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1. Global patterns of vascular plant alpha diversity

Author: Sabatini, F.M., Jiménez-Alfaro, B., Jandt, U., Chytrý, M., Field, R., Kessler, M., Lenoir, J., Schrodt, F., Wiser, S.K., Arfin Khan, M.A.S., Attorre, F. Cayuela, L., De Sanctis, M., Dengler, J., Haider, S., Hatim, M.Z., Indreica, A., Jansen, F., Pauchard, A., Peet, R.K., Petřik, P., Pillar, V.D., Sandel, B., Schmidt, M., Tang, Z., Bodegom, P.M. van, Vassilev, K., Violle, C., Alvarez-Davilla, E., Davidar, P., Dolezal, J., Hérault, B., Galán-de-Mera, A., Jiménez, J., Kambach, S., Kepfer-Rojas, S., Kreft, H., Lezama, F., Linares-Palomino, R., Mendoza, A.M., N’Dja, J.K., Phillips, O.L., Rivas-Torres, G., Sklenář, P., Speziale, K., Strohbach, B.J., Martínez, R.V., Wang, H., Wesche, K., and Bruelheide, H.
Abstract: Global patterns of regional (gamma) plant diversity are relatively well known, but whether these patterns hold for local communities, and the dependence on spatial grain, remain controversial. Using data on 170,272 georeferenced local plant assemblages, we created global maps of alpha diversity (local species richness) for vascular plants at three different spatial grains, for forests and non-forests. We show that alpha diversity is consistently high across grains in some regions (for example, Andean-Amazonian foothills), but regional ‘scaling anomalies’ (deviations from the positive correlation) exist elsewhere, particularly in Eurasian temperate forests with disproportionally higher fine-grained richness and many African tropical forests with disproportionally higher coarse-grained richness. The influence of different climatic, topographic and biogeographical variables on alpha diversity also varies across grains. Our multi-grain maps return a nuanced understanding of vascular plant biodiversity patterns that complements classic maps of biodiversity hotspots and will improve predictions of global change effects on biodiversity.
Published: 2022

2. Rescuing valuable Arctic vegetation data for biodiversity models, ecosystem models and a panarctic vegetation classification

Author: Walker, D.A., Alsos, I.G., Bay, C., Boulanger-Lapointe, N., Breen, A.L., Bultmann, H., Christensen, T., Damgaard, C., Daniels, F.J.A., Hennekens, S., Raynolds, M.K., Roux, P.C. Le, Luoto, M., Pellissier, L., Peet, R.K., Schmidt, N.M., Stewart, L., Virtanen, R., Yoccoz, N.G., and Wisz, M.S.
Subjects: Arctic -- Environmental aspects, Vegetation mapping -- Conferences, meetings and seminars -- Information management, Arctic research -- Conferences, meetings and seminars -- Information management, Biological diversity -- Conferences, meetings and seminars, Vegetation and climate -- Conferences, meetings and seminars -- Information management, Information management -- Methods, Company systems management, Information accessibility, Earth sciences, Regional focus/area studies
Abstract: INTRODUCTION TWO WORKSHOPS HELD IN ROSKILDE, Denmark, on 29-31 May and 17-19 December 2012, brought together key Arctic vegetation scientists and biodiversity modelers to discuss the rich source of species-distribution [...]
Published: 2013

3. 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

4. Global functional variation in alpine vegetation

Author: Testolin, R., Carmona, C.P., Attorre, F., Borchardt, P., Bruelheide, H., Dolezal, J., Finckh, M., Haider, S., Hemp, A., Jandt, U., Korolyuk, A.Y., Lenoir, J., Makunina, N., Malanson, G.P., Mucina, L., Noroozi, J., Nowak, A., Peet, R.K., Peyre, G., Sabatini, F.M., Šibík, J., Sklenář, P., Vassilev, K., Virtanen, R., Wiser, S.K., Zibzeev, E.G., Jiménez‐Alfaro, B., Kreft, H., Testolin, R., Carmona, C.P., Attorre, F., Borchardt, P., Bruelheide, H., Dolezal, J., Finckh, M., Haider, S., Hemp, A., Jandt, U., Korolyuk, A.Y., Lenoir, J., Makunina, N., Malanson, G.P., Mucina, L., Noroozi, J., Nowak, A., Peet, R.K., Peyre, G., Sabatini, F.M., Šibík, J., Sklenář, P., Vassilev, K., Virtanen, R., Wiser, S.K., Zibzeev, E.G., Jiménez‐Alfaro, B., and Kreft, H.
Abstract: Questions What are the functional trade‐offs of vascular plant species in global alpine ecosystems? How is functional variation related to vegetation zones, climatic groups and biogeographic realms? What is the relative contribution of macroclimate and evolutionary history in shaping the functional variation of alpine plant communities? Location Global. Methods We compiled a data set of alpine vegetation with 5,532 geo‐referenced plots, 1,933 species and six plant functional traits. We used principal component analysis to quantify functional trade‐offs among species and trait probability density to assess the functional dissimilarity of alpine vegetation in different vegetation zones, climatic groups and biogeographic realms. We used multiple regression on distance matrices to model community functional dissimilarity against environmental and phylogenetic dissimilarity, controlling for geographic distance. Results The first two PCA axes explained 66% of the species’ functional variation and were related to the leaf and stem economic spectra, respectively. Trait probability density was largely independent of vegetation zone and macroclimate but differed across biogeographic realms. The same pattern emerged for both species pool and community levels. The effects of environmental and phylogenetic dissimilarities on community functional dissimilarity had similar magnitude, while the effect of geographic distance was negligible. Conclusions Plant species in alpine areas reflect the global variation of plant function, but with a predominant role of resource use strategies. Current macroclimate exerts a limited effect on alpine vegetation, mostly acting at the community level in combination with evolutionary history. Global alpine vegetation is functionally unrelated to the vegetation zones in which it is embedded, exhibiting strong functional convergence across regions.
Published: 2021

5. 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

6. Global patterns and drivers of alpine plant species richness

Author: Testolin, R., Attorre, F., Borchardt, P., Brand, R.F., Bruelheide, H., Chytrý, M., De Sanctis, M., Dolezal, J., Finckh, M., Haider, S., Hemp, A., Jandt, U., Kessler, M., Korolyuk, A.Y., Lenoir, J., Makunina, N., Malanson, G.P., Montesinos‐Tubée, D.B., Noroozi, J., Nowak, A., Peet, R.K., Peyre, G., Sabatini, F.M., Šibík, J., Sklenář, P., Sylvester, S.P., Vassilev, K., Virtanen, Risto, Willner, W., Wiser, S.K., Zibzeev, E.G., Jiménez‐Alfaro, B., Testolin, R., Attorre, F., Borchardt, P., Brand, R.F., Bruelheide, H., Chytrý, M., De Sanctis, M., Dolezal, J., Finckh, M., Haider, S., Hemp, A., Jandt, U., Kessler, M., Korolyuk, A.Y., Lenoir, J., Makunina, N., Malanson, G.P., Montesinos‐Tubée, D.B., Noroozi, J., Nowak, A., Peet, R.K., Peyre, G., Sabatini, F.M., Šibík, J., Sklenář, P., Sylvester, S.P., Vassilev, K., Virtanen, Risto, Willner, W., Wiser, S.K., Zibzeev, E.G., and Jiménez‐Alfaro, B.
Abstract: Aim Alpine ecosystems differ in area, macroenvironment and biogeographical history across the Earth, but the relationship between these factors and plant species richness is still unexplored. Here, we assess the global patterns of plant species richness in alpine ecosystems and their association with environmental, geographical and historical factors at regional and community scales. Location Global. Time period Data collected between 1923 and 2019. Major taxa studied Vascular plants. Methods We used a dataset representative of global alpine vegetation, consisting of 8,928 plots sampled within 26 ecoregions and six biogeographical realms, to estimate regional richness using sample‐based rarefaction and extrapolation. Then, we evaluated latitudinal patterns of regional and community richness with generalized additive models. Using environmental, geographical and historical predictors from global raster layers, we modelled regional and community richness in a mixed‐effect modelling framework. Results The latitudinal pattern of regional richness peaked around the equator and at mid‐latitudes, in response to current and past alpine area, isolation and the variation in soil pH among regions. At the community level, species richness peaked at mid‐latitudes of the Northern Hemisphere, despite a considerable within‐region variation. Community richness was related to macroclimate and historical predictors, with strong effects of other spatially structured factors. Main conclusions In contrast to the well‐known latitudinal diversity gradient, the alpine plant species richness of some temperate regions in Eurasia was comparable to that of hyperdiverse tropical ecosystems, such as the páramo. The species richness of these putative hotspot regions is explained mainly by the extent of alpine area and their glacial history, whereas community richness depends on local environmental factors. Our results highlight hotspots of species richness at mid‐latitudes, indicating that the div
Published: 2021

7. 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

8. Progress in vegetation science: Trends over the past three decades and new horizons

Author: Chytrý, M., Chiarucci, A., Pärtel, M., Pillar, V.D., Bakker, J.P., Mucina, L., Peet, R.K., White, P.S., Chytrý, M., Chiarucci, A., Pärtel, M., Pillar, V.D., Bakker, J.P., Mucina, L., Peet, R.K., and White, P.S.
Abstract: With the current issue, the Journal of Vegetation Science (JVS) enters its 30th year. Founded by Eddy van der Maarel, Robert Peet and Robert Neuhäusl in 1990 as an official journal of the International Association for Vegetation Science, it has always been a popular publication venue for the internationally most significant studies in plant community ecology...
Published: 2019

9. 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

10. Similar factors underlie tree abundance in forests in native and alien ranges

Author: van der Sande, Masha Tamara, Bruelheide, H., Dawson, W., Dengler, J., Essl, F., Field, R., Haider, S., van Kleunen, M., Kreft, H., Pagel, J., Pergl, J., Purschke, O., Pyšek, P., Weigelt, P., Winter, M., Attorre, F., Aubin, I., Bergmeier, E., Chytrý, M., Dainese, M., De Sanctis, M., Fagundez, J., Golub, V., Guerin, G.R., Gutiérrez, A.G., Jandt, U., Jansen, F., Jiménez‐Alfaro, B., Kattge, J., Kearsley, E., Klotz, Stefan, Kramer, K., Moretti, M., Niinemets, Ü., Peet, R.K., Penuelas, J., Petřík, P., Reich, P.B., Sandel, B., Schmidt, M., Sibikova, M., Violle, C., Whitfeld, T.J.S., Wohlgemuth, T., Knight, Tiffany, van der Sande, Masha Tamara, Bruelheide, H., Dawson, W., Dengler, J., Essl, F., Field, R., Haider, S., van Kleunen, M., Kreft, H., Pagel, J., Pergl, J., Purschke, O., Pyšek, P., Weigelt, P., Winter, M., Attorre, F., Aubin, I., Bergmeier, E., Chytrý, M., Dainese, M., De Sanctis, M., Fagundez, J., Golub, V., Guerin, G.R., Gutiérrez, A.G., Jandt, U., Jansen, F., Jiménez‐Alfaro, B., Kattge, J., Kearsley, E., Klotz, Stefan, Kramer, K., Moretti, M., Niinemets, Ü., Peet, R.K., Penuelas, J., Petřík, P., Reich, P.B., Sandel, B., Schmidt, M., Sibikova, M., Violle, C., Whitfeld, T.J.S., Wohlgemuth, T., and Knight, Tiffany
Abstract: AimAlien plant species can cause severe ecological and economic problems, and therefore attract a lot of research interest in biogeography and related fields. To identify potential future invasive species, we need to better understand the mechanisms underlying the abundances of invasive tree species in their new ranges, and whether these mechanisms differ between their native and alien ranges. Here, we test two hypotheses: that greater relative abundance is promoted by (a) functional difference from locally co‐occurring trees, and (b) higher values than locally co‐occurring trees for traits linked to competitive ability. LocationGlobal. Time periodRecent. Major taxa studiedTrees. MethodsWe combined three global plant databases: sPlot vegetation‐plot database, TRY plant trait database and Global Naturalized Alien Flora (GloNAF) database. We used a hierarchical Bayesian linear regression model to assess the factors associated with variation in local abundance, and how these relationships vary between native and alien ranges and depend on species’ traits. ResultsIn both ranges, species reach highest abundance if they are functionally similar to co‐occurring species, yet are taller and have higher seed mass and wood density than co‐occurring species. Main conclusionsOur results suggest that light limitation leads to strong environmental and biotic filtering, and that it is advantageous to be taller and have denser wood. The striking similarities in abundance between native and alien ranges imply that information from tree species’ native ranges can be used to predict in which habitats introduced species may become dominant.
Published: 2019

11. sPlot – a new tool for global vegetation analyses

Author: Bruelheide, H., Dengler, J., Jiménez‐Alfaro, B., Purschke, O., Hennekens, S.M., Chytrý, M., Pillar, V.D., Jansen, F., Kattge, J., Sandel, B., Aubin, I., Biurrun, I., Field, R., Haider, S., Jandt, U., Lenoir, J., Peet, R.K., Peyre, G., Sabatini, F.M., Schmidt, M., Schrodt, F., Winter, M., Aćić, S., Agrillo, E., Alvarez, M., Ambarlı, D., Angelini, P., Apostolova, I., Khan, M.A.S.A., Arnst, E., Attorre, F., Baraloto, C., Beckmann, Michael, Kühn, Ingolf, Virtanen, Risto, Berg, C., et al., Bruelheide, H., Dengler, J., Jiménez‐Alfaro, B., Purschke, O., Hennekens, S.M., Chytrý, M., Pillar, V.D., Jansen, F., Kattge, J., Sandel, B., Aubin, I., Biurrun, I., Field, R., Haider, S., Jandt, U., Lenoir, J., Peet, R.K., Peyre, G., Sabatini, F.M., Schmidt, M., Schrodt, F., Winter, M., Aćić, S., Agrillo, E., Alvarez, M., Ambarlı, D., Angelini, P., Apostolova, I., Khan, M.A.S.A., Arnst, E., Attorre, F., Baraloto, C., Beckmann, Michael, Kühn, Ingolf, Virtanen, Risto, and Berg, C., et al.
Abstract: QuestionsVegetation‐plot records provide information on presence and cover or abundance of plants co‐occurring in the same community. Vegetation‐plot data are spread across research groups, environmental agencies and biodiversity research centers and, thus, are rarely accessible at continental or global scales. Here we present the sPlot database, which collates vegetation plots worldwide to allow for the exploration of global patterns in taxonomic, functional and phylogenetic diversity at the plant community level. LocationsPlot version 2.1 contains records from 1,121,244 vegetation plots, which comprise 23,586,216 records of plant species and their relative cover or abundance in plots collected between 1885 and 2015. MethodsWe complemented the information for each plot by retrieving climate and soil conditions and the biogeographic context (e.g. biomes) from external sources, and by calculating community‐weighted means and variances of traits using gap‐filled data from the global plant trait database TRY. Moreover, we created a phylogenetic tree for 50,167 out of the 54,519 species identified in the plots. ResultsWe present the first maps of global patterns of community richness and community‐weighted means of key traits. ConclusionsThe availability of vegetation plot data in sPlot offers new avenues for vegetation analysis at the global scale.
Published: 2019

12. 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

13. A hierarchic approach for examining panarctic vegeta0on with a focus on the linkages between remote-sensing and plot-based studies: A prototype example from Toolik Lake, Alaska

Author: Walker, D.A., Bhatt, U.S., Breen, A.L., Buchhorn, M., Druckenmiller, L.A., Kade, A., Murray, D.F., Peirce, J.L., Raynolds, M.K., Wirth, L.M., Daniëls, F.J.A., Bültmann, H., Alsos, Inger Greve, Ehrich, D., Ims, Rolf A., Edwards, M E, Epstein, H.E., Gould, W.A., Meltofte, Hans, Talbot, S.S., Šibík, J, Hennekens, S., Walker, Marcella D, Cooper, D.J., Ebersole, J. J., Elmendorf, S.C., Hollister, B.D., Webber, P.J., Iversen, C., Sloan, V., Jorgenson, M.T., Lee, M.T., Peet, R.K., MacKenzie, M.H., Schickhoff, U., Tweedie, C.E., and Villareal, S.
Abstract: A circumpolar view of Arctic vegetation developed with the advent of satellite-derived remote-sensing products. Interpretations of what the revealed patterns mean are dependent on a foundation of in-situ plot-based observations. Despite the importance of ground-based observations, only a few areas have been intensively sampled and mapped, mainly in the vicinity of permanent Arctic observatories. Much of the information is project specific and is based on sampling protocols that are difficult to compare across sites. Here, we demonstrate a more consistent multi-level hierarchic approach for vegetation description and analysis at the Toolik Lake Field Station, Alaska. We advocate for a well-coordinated, interdisciplinary network of vegetation observation stations. Key recommendations include: (1) Complete local floras for many more areas in than presently exist. Species names should be standardized using the Pan-Arctic Flora. (2) Permanently marked and replicated vegetation monitoring plots in the full range of habitats at each station. Methods of establishing and monitoring the plots should include consistent internationally accepted standards for vegetation data collection, vegetation classification, plot markings, and standardized approaches to describe the local environment, including photo points showing the vegetation and soils up close and in landscape view. (3) Standardized approaches for collecting in-situ time-series of spectral data. Standardized methods for collecting and analyzing phytomass data are especially needed. (4) Interdisciplinary studies. Vegetation observations should be conducted in concert with observations of soils, permafrost, animals and ecosystem processes at the same plots. (5) Periodic (perhaps every 5-10 years) ground-based surveys. These should include surveys of species composition, canopy structure, biomass, leaf-area index, and NDVI, along with high-resolution satellite-based remote-sensing products at the same time. A circumpolar view of Arctic vegetation developed with the advent of satellite-derived remote-sensing products. Interpretations of what the revealed patterns mean are dependent on a foundation of in-situ plot-based observations. Despite the importance of ground-based observations, only a few areas have been intensively sampled and mapped, mainly in the vicinity of permanent Arctic observatories. Much of the information is project specific and is based on sampling protocols that are difficult to compare across sites. Here, we demonstrate a more consistent multi-level hierarchic approach for vegetation description and analysis at the Toolik Lake Field Station, Alaska. We advocate for a well-coordinated, interdisciplinary network of vegetation observation stations. Key recommendations include: (1) Complete local floras for many more areas in than presently exist. Species names should be standardized using the Pan-Arctic Flora. (2) Permanently marked and replicated vegetation monitoring plots in the full range of habitats at each station. Methods of establishing and monitoring the plots should include consistent internationally accepted standards for vegetation data collection, vegetation classification, plot markings, and standardized approaches to describe the local environment, including photo points showing the vegetation and soils up close and in landscape view. (3) Standardized approaches for collecting in-situ time-series of spectral data. Standardized methods for collecting and analyzing phytomass data are especially needed. (4) Interdisciplinary studies. Vegetation observations should be conducted in concert with observations of soils, permafrost, animals and ecosystem processes at the same plots. (5) Periodic (perhaps every 5-10 years) ground-based surveys. These should include surveys of species composition, canopy structure, biomass, leaf-area index, and NDVI, along with high-resolution satellite-based remote-sensing products at the same time.
Published: 2015

14. A comparative framework for broad-scale plot-based vegetation classification

Author: Caceres, M. De, Chytry, M., Agrillo, E., Attorre, F., Botta-Dukat, Z., Capelo, J., Czucz, B., Dengler, J., Ewald, J., Faber-Langendoen, D., Feoli, E., Franklin, S.B., Gavilan, R., Gillet, F., Jansen, F., Jimenez-Alfaro, B., Krestov, P., Landucci, F., Lengyel, A., Loidi, J., Mucina, L., Peet, R.K., Roberts, D.W., Rolecek, J., Schaminee, J.H.J., Schmidtlein, S., Theurillat, J.P., Tichy, L., Walker, D.A., Wildi, O., Willner, W., Wiser, S.K., Caceres, M. De, Chytry, M., Agrillo, E., Attorre, F., Botta-Dukat, Z., Capelo, J., Czucz, B., Dengler, J., Ewald, J., Faber-Langendoen, D., Feoli, E., Franklin, S.B., Gavilan, R., Gillet, F., Jansen, F., Jimenez-Alfaro, B., Krestov, P., Landucci, F., Lengyel, A., Loidi, J., Mucina, L., Peet, R.K., Roberts, D.W., Rolecek, J., Schaminee, J.H.J., Schmidtlein, S., Theurillat, J.P., Tichy, L., Walker, D.A., Wildi, O., Willner, W., and Wiser, S.K.
Abstract: Contains fulltext : 149053.pdf (publisher's version ) (Closed access)
Published: 2015

15. Vegetation databases for the 21st century

Author: Dengler, J., Oldeland, J., Jansen, F., Chytry, M., Ewald, J., Fickh, M., Glöckler, F., Glopez-Gonzalez, G., Peet, R.K., and Schaminée, Joop
Subjects: Plant Ecology
Abstract: Item does not contain fulltext
Published: 2012

16. The global index of vegetation-plot databases (givd): A new resource for vegetation science

Author: Dengler, J., Jansen, F., Glockler, F., Peet, R.K., Caceres, M. De, Chytry, M., Ewald, J., Oldeland, J., Lopez-Gonzalez, G., Finckh, M., Mucina, L., Rodwell, J.S., Schaminee, J.H.J., and Spencer, N.
Subjects: Aquatic Ecology
Abstract: Item does not contain fulltext 16 p.
Published: 2011

17. Patterns of floodplain sediment deposition along the regulated lower Roanoke River, North Carolina: Annual, decadal, centennial scales

Author: Hupp, C.R., primary, Schenk, E.R., additional, Kroes, D.E., additional, Willard, D.A., additional, Townsend, P.A., additional, and Peet, R.K., additional
Published: 2015
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18. Ecoinformatics and global change – an overdue liaison

Author: Dengler, J., Ewald, J., Kühn, Ingolf, Peet, R.K., Dengler, J., Ewald, J., Kühn, Ingolf, and Peet, R.K.
Abstract: The field of ecoinformatics provides concepts, methods and standards to guide management and analysis of ecological data with particular emphasis on exploration of co-occurrences of organisms and their linkage to environmental conditions and taxon attributes. In this editorial, introducing the Special Feature ‘Ecoinformatics and global change’, we reflect on the development of ecoinformatics and explore its importance for future global change research with special focus on vegetation-plot data. We show how papers in this Special Feature illustrate important directions and approaches in this emerging field. We suggest that ecoinformatics has the potential to make profound contributions to pure and applied sciences, and that the analyses, databases, meta-databases, data exchange formats and analytical tools presented in this Special Feature advance this approach to vegetation science and illustrate and address important open questions. We conclude by describing important future directions for the development of the field including incentives for data sharing, creation of tools for more robust statistical analysis, utilities for integration of data that conform to divergent taxonomic standards, and databases that provide detailed plot-specific data so as to allow users to find and access data appropriate to their research needs.
Published: 2011

19. Perspectives: Towards a language for mapping relationships among taxonomic concepts

Author: Franz, N.M., primary and Peet, R.K., additional
Published: 2009
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20. Spatial pattern of Quercus regeneration limitation and Acer rubrum invasion in a Piedmont forest

Author: McDonald, R.I., primary, Peet, R.K., additional, and Urban, D.L., additional
Published: 2003
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21. CONVERGENCE DURING SECONDARY FOREST SUCCESSION.

Author: Christensen, N.L. and Peet, R.K.
Subjects: ECOLOGICAL succession, FOREST ecology
Abstract: (1) Successional convergence in community composition was examined in terms of three questions (i) for a given site is there a continuous shift in composition toward that characteristic of climax? (ii) does variation in community composition along an environmental gradient increase or decrease with succession? (iii) to what extent is the species composition along a successional gradient determined by site characteristics rather than by chance factors? Hypotheses regarding the nature of successional convergence are reviewed in terms of these questions (2) These hypotheses were tested using data for tree (>0.5 cm dbh) and herb (all foliage <1 m tall) abundance from 191 upland forest stands on the North Carolina piedmont which were grouped in five successional age classes (20-40-, 40-60-, 60-80-, and >80-yr-old pines, and uneven-aged hardwoods). For each age-group first axis ordination scores (detrended correspondence analysis) were highly correlated most consistently with soil pH as compared with other soil and site variables. This correlation was greatest in the intermediate-age (40-60- and 60-80-yr-old) pines and in the hardwood stands, and lowest in old pine stands. The distribution of species in the ordination space was most similar between the intermediate age pine stands and the hardwoods in contrast, young and old pine age classes were dissimilar to hardwoods. Species distributions in relation to the soil pH gradient were also most similar between intermediate-age pines and hardwoods. Thus, there is a shift in species composition toward that characteristic of climax, but it is probably not monotonic (3) Beta-diversity was highest in the hardwoods and lowest among the pines Community differentiation along gradients increased in this chronosequence. (4) Predictability of soil pH, based on stand species composition, was highest in the intermediate-age pines and in the hardwoods. Habitat breadth in relation to soil pH decreased steadily with successional age.... [ABSTRACT FROM AUTHOR]
Published: 1984
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22. Global patterns and drivers of alpine plant species richness

Author: Andreas Hemp, Jonathan Lenoir, Evgeny G. Zibzeev, Steven P. Sylvester, N. I. Makunina, Michele De Sanctis, Risto Virtanen, Robert F. Brand, Wolfgang Willner, Arkadiusz Nowak, Ute Jandt, Riccardo Testolin, Francesco Maria Sabatini, Sylvia Haider, George P. Malanson, Susan K. Wiser, Gwendolyn Peyre, Kiril Vassilev, Milan Chytrý, Fabio Attorre, Borja Jiménez-Alfaro, Petr Sklenář, Jalil Noroozi, Manfred Finckh, Andrey Yu. Korolyuk, Peter Borchardt, Daniel B. Montesinos-Tubée, Helge Bruelheide, Robert K. Peet, Jozef Šibík, Jiri Dolezal, Michael Kessler, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV), Testolin R., Attorre F., Borchardt P., Brand R.F., Bruelheide H., Chytry M., De Sanctis M., Dolezal J., Finckh M., Haider S., Hemp A., Jandt U., Kessler M., Korolyuk A.Y., Lenoir J., Makunina N., Malanson G.P., Montesinos-Tubee D.B., Noroozi J., Nowak A., Peet R.K., Peyre G., Sabatini F.M., Sibik J., Sklenar P., Sylvester S.P., Vassilev K., Virtanen R., Willner W., Wiser S.K., Zibzeev E.G., and Jimenez-Alfaro B.
Subjects: 0106 biological sciences, biodiversity hotspot, 010504 meteorology & atmospheric sciences, Alpine plant, global pattern, [SDE.MCG]Environmental Sciences/Global Changes, [SDV.BID]Life Sciences [q-bio]/Biodiversity, biogeographical history, 010603 evolutionary biology, 01 natural sciences, plant species richness, Temperate climate, global patterns, Alpine vegetation, biodiversity hotspots, multiscale analysis, Ecosystem, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Global and Planetary Change, Ecology, multiscale analysi, Vegetation, 15. Life on land, Biodiversity hotspot, Taxon, Geography, Rarefaction (ecology), Species richness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: B.J.-A. was funded by the Marie Curie Clarín-COFUND program of the Principality of Asturias-EU (ACB17-26) and the Spanish Research Agency (AEI/10.13039/501100011033)., Testolin, R., Attorre, F., Borchardt, P., Brand, R.F., Bruelheide, H., Chytrý, M., De Sanctis, M., Dolezal, J., Finckh, M., Haider, S., Hemp, A., Jandt, U., Kessler, M., Korolyuk, A.Y., Lenoir, J., Makunina, N., Malanson, G.P., Montesinos-Tubée, D.B., Noroozi, J., Nowak, A., Peet, R.K., Peyre, G., Sabatini, F.M., Šibík, J., Sklenář, P., Sylvester, S.P., Vassilev, K., Virtanen, R., Willner, W., Wiser, S.K., Zibzeev, E.G., Jiménez-Alfaro, B.
Published: 2021

23. Global functional variation in alpine vegetation

Author: Jiri Dolezal, Robert K. Peet, George P. Malanson, Risto Virtanen, Jonathan Lenoir, Jalil Noroozi, Manfred Finckh, Riccardo Testolin, N. I. Makunina, Ladislav Mucina, Francesco Maria Sabatini, Ute Jandt, Helge Bruelheide, Susan K. Wiser, Borja Jiménez-Alfaro, Sylvia Haider, Fabio Attorre, Kiril Vassilev, Andrei Yu Korolyuk, Andreas Hemp, Jozef Šibík, Evgeny G. Zibzeev, Arkadiusz Nowak, Carlos P. Carmona, Gwendolyn Peyre, Petr Sklenář, Peter Borchardt, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université de Picardie Jules Verne (UPJV), Testolin R., Carmona C.P., Attorre F., Borchardt P., Bruelheide H., Dolezal J., Finckh M., Haider S., Hemp A., Jandt U., Korolyuk A.Y., Lenoir J., Makunina N., Malanson G.P., Mucina L., Noroozi J., Nowak A., Peet R.K., Peyre G., Sabatini F.M., Sibik J., Sklenar P., Vassilev K., Virtanen R., Wiser S.K., Zibzeev E.G., and Jimenez-Alfaro B.
Subjects: 0106 biological sciences, Vascular plant, Alpine plant, [SDE.MCG]Environmental Sciences/Global Changes, alpine vegetation, Plant Science, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 010603 evolutionary biology, 01 natural sciences, macroclimate, phylogenetic dissimilarity, trait pool, Geographical distance, Ecosystem, trait probability density, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, alpine biomes, evolutionary history, functional convergence, trait pools, Ecology, biology, Phylogenetic tree, Vegetation, 15. Life on land, biology.organism_classification, Geography, Trait, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, alpine biome, Distance matrices in phylogeny, 010606 plant biology & botany
Abstract: International audience; Questions. What are the functional trade-offs of vascular plant species in global alpine ecosystems? How is functional variation related to vegetation zones, climatic groups and biogeographic realms? What is the relative contribution of macroclimate and evolutionary history in shaping the functional variation of alpine plant communities? Location. Global. Methods. We compiled a data set of alpine vegetation with 5,532 geo-referenced plots, 1,933 species and six plant functional traits. We used principal component analysis to quantify functional trade-offs among species and trait probability density to assess the functional dissimilarity of alpine vegetation in different vegetation zones, climatic groups and biogeographic realms. We used multiple regression on distance matrices to model community functional dissimilarity against environmental and phylogenetic dissimilarity, controlling for geographic distance. Results. The first two PCA axes explained 66% of the species’ functional variation and were related to the leaf and stem economic spectra, respectively. Trait probability density was largely independent of vegetation zone and macroclimate but differed across biogeographic realms. The same pattern emerged for both species pool and community levels. The effects of environmental and phylogenetic dissimilarities on community functional dissimilarity had similar magnitude, while the effect of geographic distance was negligible. Conclusions. Plant species in alpine areas reflect the global variation of plant function, but with a predominant role of resource use strategies. Current macroclimate exerts a limited effect on alpine vegetation, mostly acting at the community level in combination with evolutionary history. Global alpine vegetation is functionally unrelated to the vegetation zones in which it is embedded, exhibiting strong functional convergence across regions
Published: 2021

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

Author: Ben Sparrow, V. B. Martynenko, Jonathan Lenoir, Eszter Ruprecht, Idoia Biurrun, Luzmila Arroyo, Borja Jiménez-Alfaro, Aníbal Pauchard, Roberto Venanzoni, Stephan M. Hennekens, Mohamed Z. Hatim, Cyrus Samimi, Arkadiusz Nowak, Gerhard E. Overbeck, Petr Sklenář, Renata Ćušterevska, Valentin Golub, Eduardo Vélez-Martin, Gwendolyn Peyre, Inger Greve Alsos, Ioannis Tsiripidis, Tarek Hattab, Andrey Yu. Korolyuk, Jutta Kapfer, Jörg Ewald, Donald M. Waller, Ute Jandt, Tetiana Dziuba, Marco Schmidt, Alvaro G. Gutiérrez, Thomas Wohlgemuth, Adrian Indreica, Zygmunt Kącki, Jürgen Dengler, Željko Škvorc, Dirk Nikolaus Karger, Panayotis Dimopoulos, Viktor Onyshchenko, Hanhuai Shan, John Janssen, Hua Feng Wang, Holger Kreft, Jérôme Munzinger, Brian J. Enquist, Frederic Lens, Wannes Hubau, Birgit Jedrzejek, Alexander Christian Vibrans, Miguel D. Mahecha, Emmanuel Garbolino, Sophie Gachet, Abel Monteagudo Mendoza, Josep Peñuelas, Melisa A. Giorgis, Svetlana Aćić, Débora Vanessa Lingner, Victor V. Chepinoga, Richard Field, Ladislav Mucina, Michele De Sanctis, Mohamed A. El-Sheikh, Isabelle Aubin, Hamid Gholizadeh, Fahmida Sultana, Fabio Attorre, Valerijus Rašomavičius, Cindy Q. Tang, Tomáš Černý, Gonzalo Rivas-Torres, Donald A. Walker, Alicia Teresa Rosario Acosta, Timothy J. Killeen, Francesco Maria Sabatini, Susan K. Wiser, Urban Šilc, Andraž Čarni, Florian Jansen, Valério D. Pillar, Jonas V. Müller, Aaron Pérez-Haase, Els De Bie, Antonio Galán-de-Mera, Zhiyao Tang, Anne D. Bjorkman, Sylvia Haider, Kiril Vassilev, Risto Virtanen, Henrik von Wehrden, Hjalmar S. Kühl, Manfred Finckh, Zvjezdana Stančić, Pavel Shirokikh, Elizabeth Kearsley, Petr Petřík, Yves Bergeron, Iva Apostolova, Emiliano Agrillo, Jozef Šibík, Norbert Jürgens, Marta Gaia Sperandii, Anna Kuzemko, Jens-Christian Svenning, Timothy J. S. Whitfeld, Michael Kessler, Bruno Hérault, John-Arvid Grytnes, Laura Casella, Tomáš Peterka, Miguel Alvarez, Tsipe Aavik, Gregory Richard Guerin, André Luis de Gasper, Corrado Marcenò, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens Kattge, Guillermo Hinojos Mendoza, Anke Jentsch, Arindam Banerjee, Jesper Erenskjold Moeslund, Mohammed Abu Sayed Arfin Khan, Patrice de Ruffray, Milan Chytrý, S. M. Yamalov, Tatiana Lysenko, Meelis Pärtel, Viktoria Bondareva, Helge Bruelheide, John S. Rodwell, Jiri Dolezal, Oliver L. Phillips, Rasmus Revermann, Larisa Khanina, Erwin Bergmeier, Robert K. Peet, Jörg Brunet, Solvita Rūsiņa, Oliver Purschke, Gianmaria Bonari, Jürgen Homeier, Martin Zobel, János Csiky, Marijn Bauters, Jalil Noroozi, Karsten Wesche, Kim André Vanselow, Norbert Hölzel, Flavia Landucci, Farideh Fazayeli, Wolfgang Willner, Viktoria Wagner, Alireza Naqinezhad, Aurora Levesley, Vadim Prokhorov, Hongyan Liu, Ali Kavgaci, Rodolfo Vásquez Martínez, Franziska Schrodt, Attila Lengyel, Elise A. Arnst, Sabatini F.M., Lenoir J., Hattab T., Arnst E.A., Chytry 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., Acic S., Acosta A.T.R., Agrillo E., Alvarez 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., Carni A., Casella L., Cayuela L., Cerny T., Chepinoga V., Csiky J., Custerevska R., De Bie E., de Gasper A.L., De Sanctis M., Dimopoulos P., Dolezal J., Dziuba T., El-Sheikh M.A.E.-R.M., Enquist B., Ewald J., Fazayeli F., Field R., Finckh M., Gachet S., Galan-de-Mera A., Garbolino E., Gholizadeh H., Giorgis M., Golub V., Alsos I.G., Grytnes J.-A., Guerin G.R., Gutierrez A.G., Haider S., Hatim M.Z., Herault B., Hinojos Mendoza G., Holzel N., Homeier J., Hubau W., Indreica A., Janssen J.A.M., Jedrzejek B., Jentsch A., Jurgens N., Kacki Z., Kapfer J., Karger D.N., Kavgaci A., Kearsley E., Kessler M., Khanina L., Killeen T., Korolyuk A., Kreft H., Kuhl H.S., Kuzemko A., Landucci F., Lengyel A., Lens F., Lingner D.V., Liu H., Lysenko T., Mahecha M.D., Marceno C., Martynenko V., Moeslund J.E., Monteagudo Mendoza A., Mucina L., Muller J.V., Munzinger J., Naqinezhad A., Noroozi J., Nowak A., Onyshchenko V., Overbeck G.E., Partel M., Pauchard A., Peet R.K., Penuelas J., Perez-Haase A., Peterka T., Petrik P., Peyre G., Phillips O.L., Prokhorov V., Rasomavicius V., Revermann R., Rivas-Torres G., Rodwell J.S., Ruprecht E., Rusina S., Samimi C., Schmidt M., Schrodt F., Shan H., Shirokikh P., Sibik J., Silc U., Sklenar P., Skvorc Z., Sparrow B., Sperandii M.G., Stancic Z., Svenning J.-C., Tang Z., Tang C.Q., Tsiripidis I., Vanselow K.A., Vasquez Martinez R., Vassilev K., Velez-Martin E., Venanzoni R., Vibrans A.C., Violle C., Virtanen R., von 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., Sabatini, Fm, Lenoir, J, Hattab, T, Arnst, Ea, Chytry, M, Dengler, J, De Ruffray, P, Hennekens, Sm, Jandt, U, Jansen, F, Jimenez-Alfaro, B, Kattge, J, Levesley, A, Pillar, Vd, Purschke, O, Sandel, B, Sultana, F, Aavik, T, Acic, S, Acosta, Atr, Agrillo, E, Alvarez, M, Apostolova, I, Khan, Masa, Arroyo, L, Attorre, F, Aubin, I, Banerjee, A, Bauters, M, Bergeron, Y, Bergmeier, E, Biurrun, I, Bjorkman, Ad, Bonari, G, Bondareva, V, Brunet, J, Carni, A, Casella, L, Cayuela, L, Cerny, T, Chepinoga, V, Csiky, J, Custerevska, R, De Bie, E, de Gasper, Al, De Sanctis, M, Dimopoulos, P, Dolezal, J, Dziuba, T, El-Sheikh, Mam, Enquist, B, Ewald, J, Fazayeli, F, Field, R, Finckh, M, Gachet, S, Galan-de-Mera, A, Garbolino, E, Gholizadeh, H, Giorgis, M, Golub, V, Alsos, Ig, Grytnes, Ja, Guerin, Gr, Gutierrez, Ag, Haider, S, Hatim, Mz, Herault, B, Mendoza, Gh, Holzel, N, Homeier, J, Hubau, W, Indreica, A, Janssen, Jam, Jedrzejek, B, Jentsch, A, Jurgens, N, Kacki, Z, Kapfer, J, Karger, Dn, Kavgaci, A, Kearsley, E, Kessler, M, Khanina, L, Killeen, T, Korolyuk, A, Kreft, H, Kuhl, H, Kuzemko, A, Landucci, F, Lengyel, A, Lens, F, Lingner, Dv, Liu, Hy, Lysenko, T, Mahecha, Md, Marceno, C, Martynenko, V, Moeslund, Je, Mendoza, Am, Mucina, L, Muller, Jv, Munzinger, Jm, Naqinezhad, A, Noroozi, J, Nowak, A, Onyshchenko, V, Overbeck, Ge, Partel, M, Pauchard, A, Peet, Rk, Penuelas, J, Perez-Haase, A, Peterka, T, Petrik, P, Peyre, G, Phillips, Ol, Prokhorov, V, Rasomavicius, V, Revermann, R, Rivas-Torres, G, Rodwell, J, Ruprecht, E, Rusina, S, Samimi, C, Schmidt, M, Schrodt, F, Shan, Hh, Shirokikh, P, Sibik, J, Silc, U, Sklenar, P, Skvorc, Z, Sparrow, B, Sperandii, Mg, Stancic, Z, Svenning, Jc, Tang, Zy, Tang, Cq, Tsiripidis, I, Vanselow, Ka, Martinez, Rv, Vassilev, K, Velez-Martin, E, Venanzoni, R, Vibrans, Ac, Violle, C, Virtanen, R, von Wehrden, H, Wagner, V, Walker, Da, Waller, Dm, Wang, Hf, Wesche, K, Whitfeld, Tj, Willner, W, Wiser, Sk, Wohlgemuth, T, Yamalov, S, Zobel, M, Bruelheide, H, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Centre de recherche sur les Risques et les Crises (CRC), Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), ANR-07-BDIV-0006,BIONEOCAL,L'endémisme en Nouvelle-Calédonie : étude phylogénétique et populationnelle des son émergence.(2007), ANR-07-BDIV-0008,INC,Incendies et biodiversité de écosystèmes en Nouvelle-Calédonie.(2007), ANR-07-BDIV-0010,ULTRABIO,Biodiversité et stratégies adaptatives végétales et microbiennes des écosystèmes ultramafiques en Nouvelle-Calédonie.(2007), European Project: 610028,EC:FP7:ERC,ERC-2013-SyG,IMBALANCE-P(2014), European Project: 291585,EC:FP7:ERC,ERC-2011-ADG_20110209,T-FORCES(2012), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut de Recherche pour le Développement (IRD), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Subjects: 0106 biological sciences, Biome, Bos- en Landschapsecologie, Biodiversity, DIVERSITY, FOREST VEGETATION, 01 natural sciences, purl.org/becyt/ford/1 [https], Abundance (ecology), big data, Vegetation type, PHYTOSOCIOLOGICAL DATABASE, parcelle, Forest and Landscape Ecology, functional traits, vascular plants, biodiversity, biogeography, database, macroecology, vegetation plots, Macroecology, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Global and Planetary Change, Ecology, vascular plant, Vegetation, F70 - Taxonomie végétale et phytogéographie, PE&RC, Vegetation plot, Geography, 580: Pflanzen (Botanik), Ecosystems Research, Diffusion de l'information, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, Biodiversité, ARCHIVE, Communauté végétale, Evolution, [SDE.MCG]Environmental Sciences/Global Changes, Biogéographie, GRASSLAND VEGETATION, Plant Ecology and Nature Conservation, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 010603 evolutionary biology, Behavior and Systematics, Couverture végétale, 577: Ökologie, PLANT, purl.org/becyt/ford/1.6 [https], functional trait, Biology, Ecology, Evolution, Behavior and Systematics, Vegetatie, 010604 marine biology & hydrobiology, Impact sur l'environnement, DRY GRASSLANDS, Plant community, 15. Life on land, Végétation, WETLAND VEGETATION, Earth and Environmental Sciences, UNIVERSITY, Physical geography, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, données ouvertes
Abstract: Datos disponibles en https://github.com/fmsabatini/sPlotOpen_Code, EU H2020 project BACI, Grant No. 640176 (...), Sabatini, F.M., Lenoir, J., Hattab, T., Arnst, E.A., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S.M., Jandt, U., Jansen, F., Jiménez-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., Alvarez, 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., de Gasper, A.L., De Sanctis, M., Dimopoulos, P., Dolezal, J., Dziuba, T., El-Sheikh, M.A.E.-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., Peñuelas, 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., von 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.
Published: 2021

25. Fine‐grain beta diversity of Palaearctic grassland vegetation

Author: Giampiero Ciaschetti, Arkadiusz Nowak, Manuela Winkler, Orsolya Valkó, Remigiusz Pielech, John-Arvid Grytnes, Kiril Vassilev, Sándor Bartha, Robert K. Peet, Steffen Boch, Ewelina Klichowska, Iwona Dembicz, Łukasz Kozub, Jiri Dolezal, Gianpietro Giusso del Galdo, Christian Dolnik, Anne Mimet, Idoia Biurrun, Monika Janišová, Emin Uğurlu, Jalil Noroozi, Laura Cancellieri, Edy Fantinato, Svetlana Aćić, Marta Carboni, Jinghui Zhang, Swantje Löbel, Pieter De Frenne, Behlül Güler, Iuliia Vasheniak, Hannah J. White, Corrado Marcenò, Jutta Kapfer, Michael Manthey, Sabina Burrascano, Franz Essl, Anna Kuzemko, Massimo Terzi, Juan Antonio Campos, Salza Palpurina, Manuel J. Steinbauer, Timo Conradi, François Gillet, Thomas J. Matthews, Harald Pauli, Vincent Pellissier, Itziar García-Mijangos, Jürgen Dengler, Goffredo Filibeck, Werner Ulrich, Alessandro Chiarucci, Riccardo Guarino, Denys Vynokurov, David Storch, Sebastian Wolfrum, Wolfgang Willner, Alireza Naqinezhad, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Thomas Matthews, Sandor Bartha, Wolfgang Willner, Iwona Dembicz, Arkadiusz Nowak, Marta Carboni, Monika Janisova, Manuel Steinbauer, Manuela Winkler, Lukasz Kozub, Jalil Noroozi, Hannah White, Riccardo Guarino, Robert Peet, Orsolya Valkó, Juan Antonio Campos, Sebastian Wolfrum, Denys Vynokurov, Itziar García-Mijangos, Salza Palpurina, Jürgen Dengler, Alessandro Chiarucci, François Gillet, Anna Kuzemko, Idoia Biurrun, Massimo Terzi, Remigiusz Pielech, Pieter De Frenne, Dembicz I., Dengler J., Steinbauer M.J., Matthews T.J., Bartha S., Burrascano S., Chiarucci A., Filibeck G., Gillet F., Janisova M., Palpurina S., Storch D., Ulrich W., Acic 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., Garcia-Mijangos I., Giusso del Galdo G.P., Grytnes J.-A., Guarino R., Guler B., Kapfer J., Klichowska E., Kozub L., Kuzemko A., Lobel S., Manthey M., Marceno C., Mimet A., Naqinezhad A., Noroozi J., Nowak A., Pauli H., Peet R.K., Pellissier V., Pielech R., Terzi M., Ugurlu E., Valko O., Vasheniak I., Vassilev K., Vynokurov D., White H.J., Willner W., Winkler M., Wolfrum S., Zhang J., Biurrun I., Dembicz, Iwona, Dengler, Jürgen, Steinbauer, Manuel J., Matthews, Thomas J., Bartha, Sándor, Burrascano, Sabina, Chiarucci, Alessandro, Filibeck, Goffredo, Gillet, Françoi, Janišová, Monika, Palpurina, Salza, Storch, David, Ulrich, Werner, Aćić, Svetlana, Boch, Steffen, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ciaschetti, Giampiero, Conradi, Timo, De Frenne, Pieter, Dolezal, Jiri, Dolnik, Christian, Essl, Franz, Fantinato, Edy, García‐mijangos, Itziar, Giusso del Galdo, Gian Pietro, Grytnes, John‐arvid, Guarino, Riccardo, Güler, Behlül, Kapfer, Jutta, Klichowska, Ewelina, Kozub, Łukasz, Kuzemko, Anna, Löbel, Swantje, Manthey, Michael, Marcenò, Corrado, Mimet, Anne, Naqinezhad, Alireza, Noroozi, Jalil, Nowak, Arkadiusz, Pauli, Harald, Peet, Robert K., Pellissier, Vincent, Pielech, Remigiusz, Terzi, Massimo, Uğurlu, Emin, Valkó, Orsolya, Vasheniak, Iuliia, Vassilev, Kiril, Vynokurov, Deny, White, Hannah J., Willner, Wolfgang, Winkler, Manuela, Wolfrum, Sebastian, Zhang, Jinghui, Biurrun, Idoia, Werner, Ulrich, García‐Mijangos, Itziar, Grytnes, John‐Arvid, Ugurlu, Emin, and Uǧurlu, Emin
Subjects: 0106 biological sciences, Czech, Agriculture and Food Sciences, Fine grain, elevation, 333.7: Landflächen, Naturerholungsgebiete, habitat, Plant Science, Master plan, Fine-grain beta diversity, 01 natural sciences, Scale dependence, evolutionary, RICHNESS, vascular plants, HABITAT, Macroecology, ComputingMilieux_MISCELLANEOUS, media_common, Mean occupancy, Productivity, 2. Zero hunger, disturbance, 0303 health sciences, Ecology, Settore BIO/02 - Botanica Sistematica, Environmental research, Palaearctic grassland, differentiation, environmental heterogeneity, species-area relationship (SAR), gradient, DIFFERENTIATION, 580: Pflanzen (Botanik), fine-grain beta diversity, heterogeneity, land use, macroecology, mean occupancy, productivity, scale dependence, species–area relationship (SAR), z-value, language, media_common.quotation_subject, Library science, Species–area relationship (SAR), Environmental drivers, Grasslands, Lichens, Mosses, Species-area relationship, SAR, Vascular Plands, 010603 evolutionary biology, Species-area curve, 03 medical and health sciences, Excellence, Political science, GRADIENT, Slovak, 030304 developmental biology, spatial scale, Biology and Life Sciences, Disturbance, 15. Life on land, Z-value, language.human_language, ENVIRONMENTAL HETEROGENEITY, Earth and Environmental Sciences, Elevation, Land use, EVOLUTIONARY, SPATIAL SCALE, SPECIES-AREA RELATIONSHIPS, VASCULAR PLANTS, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Heterogeneity, richness
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 m² and 1,024 m² 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 R² = 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 explained via the effects of these drivers on the mean occupancy of species, which is mathematically linked to beta diversity. The Bavarian Research Alliance (via the BayIntAn scheme) and the Bayreuth Center of Ecology and Environmental Research (BayCEER) funded the initial GrassPlot workshop during which the database was established and the current paper was initiated (grants to JDe). WU acknowledges support from the Polish National Science Centre (grant 2017/27/B/NZ8/00316). IB, JAC and IG-M were funded by the Basque Government (IT936-16). GF carried out the research in the frame of the MIUR initiative "Department of excellence" (Law 232/2016). SBa was supported by the GINOP-2.3.2-15-2016-00019 project. CM was supported by the Czech Science Foundation (grant no. 19-28491X) and the Basque Government (IT936-16). ID was supported by the Polish National Science Centre (grant DEC-2013/09/N/NZ8/03234) and by a Swiss Government Excellence Scholarship for Postdocs (ESKAS No. 2019.0491). MJ was supported by the Slovak Academy of Sciences (grant VEGA 02/0095/19). AN was supported by a " Master Plan Project" in the University of Mazandaran, Iran. DS was supported by the Czech Science Foundation (grant no. 20-29554X). AK, IV and DV were supported by the National Research Foundation of Ukraine (project no. 2020.01/0140). JDo was supported by the Czech Science Foundation (GA17-19376S) and LTAUSA18007 info:eu-repo/semantics/publishedVersion
Published: 2021

26. The relationship between niche breadth and range size of beech (Fagus) species worldwide

Author: Cindy Q. Tang, Andraž Čarni, Jianxiao Zhu, Wenjing Fang, Francesco Maria Sabatini, Hamid Gholizadeh, Wolfgang Willner, Zhiyao Tang, Jens-Christian Svenning, Robert K. Peet, Franziska Schrodt, Adrian Indreica, Chengjun Ji, Remigiusz Pielech, Jonathan Lenoir, Süleyman Çoban, Jiangling Zhu, Dirk Nikolaus Karger, József Pál Frink, Jingyun Fang, Richard Field, Kubota Yasuhiro, Juan Antonio Campos, Jiri Dolezal, Erik Welk, Qiong Cai, Michele De Sanctis, Helge Bruelheide, Ioannis Tsiripidis, Milan Chytrý, Ute Jandt, Fabio Attorre, Jürgen Dengler, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Cai Q., Welk E., Ji C., Fang W., Sabatini F.M., Zhu J., Tang Z., Attorre F., Campos J.A., Carni A., Chytry M., Coban S., Dengler J., Dolezal J., Field R., Frink J.P., Gholizadeh H., Indreica A., Jandt U., Karger D.N., Lenoir J., Peet R.K., Pielech R., De Sanctis M., Schrodt F., Svenning J.-C., Tang C.Q., Tsiripidis I., Willner W., Yasuhiro K., Fang J., and Bruelheide H.
Subjects: 0106 biological sciences, Range (biology), [SDE.MCG]Environmental Sciences/Global Changes, Niche, niche evolution, [SDV.BID]Life Sciences [q-bio]/Biodiversity, 010603 evolutionary biology, 01 natural sciences, co-occurrence data, niche breadth, Fagus, geographical range size, Beech, Ecology, Evolution, Behavior and Systematics, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Fagu, climatic niche, deciduous species, Fagus, geographical range size, phylogenetic signal, temperate forest flora, vegetation-plot data, Ecology, biology, Phylogenetic tree, Vegetation, 15. Life on land, biology.organism_classification, Deciduous, Taxon, 580: Pflanzen (Botanik), deciduous specie, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Temperate rainforest, 010606 plant biology & botany
Abstract: Aim: This work explores whether the commonly observed positive range size-niche breadth relationship exists for Fagus, one of the most dominant and widespread broad-leaved deciduous tree genera in temperate forests of the Northern Hemisphere. Additionally, we ask whether the 10 extant Fagus species' niche breadths and climatic tolerances are under phylogenetic control. Location: Northern Hemisphere temperate forests. Taxon: Fagus L. Methods: Combining the global vegetation database sPlot with Chinese vegetation data, we extracted 107,758 releves containing Fagus species. We estimated biotic and climatic niche breadths per species using plot-based co-occurrence data and a resource-based approach, respectively. We examined the relationships of these estimates with range size and tested for their phylogenetic signal, prior to which a Random Forest (RF) analysis was applied to test which climatic properties are most conserved across the Fagus species. Results: Neither biotic niche breadth nor climatic niche breadth was correlated with range size, and the two niche breadths were incongruent as well. Notably, the widespread North American F. grandifolia had a distinctly smaller biotic niche breadth than the Chinese Fagus species (F. engleriana, F. hayatae, F. longipetiolata and F. lucida) with restricted distributions in isolated mountains. The RF analysis revealed that cold tolerance did not differ among the 10 species, and thus may represent an ancestral, fixed trait. In addition, neither biotic nor climatic niche breadths are under phylogenetic control. Main Conclusions: We interpret the lack of a general positive range size-niche breadth relationship within the genus Fagus as a result of the widespread distribution, high among-region variation in available niche space, landscape heterogeneity and Quaternary history. The results hold when estimating niche sizes either by fine-scale co-occurrence data or coarse-scale climate data, suggesting a mechanistic link between factors operating across spatial scales. Besides, there was no evidence for diverging ecological specialization within the genus Fagus. National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC); Ministry of Science and Technology of ChinaMinistry of Science and Technology, China; National Key Research and Development Program of China; Grantova Agentura Ceske RepublikyGrant Agency of the Czech Republic; Chinese Scholarship CouncilChina Scholarship Council; Independent Research Fund Denmark; Villum Fonden; German Research FoundationGerman Research Foundation (DFG); Ministry of Education, Youth and Sport of the Czech Republic, program Inter-Excellence; Natural Sciences project TREECHANGE National Natural Science Foundation of China; Ministry of Science and Technology of China; National Key Research and Development Program of China; Grantova Agentura Ceske Republiky; Chinese Scholarship Council; Independent Research Fund Denmark; Natural Sciences project TREECHANGE; Villum Fonden; German Research Foundation; Ministry of Education, Youth and Sport of the Czech Republic, program Inter-Excellence
Published: 2021

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

Author: Monika Janišová, Georgios Fotiadis, Honor C. Prentice, Farshid Memariani, Ivan I. Moysiyenko, Pavel Lustyk, Zdenka Preislerová, Hristo Pedashenko, Francesco Santi, Atushi Ushimaru, Steffen Boch, Galina Savchenko, Fabrizio Buldrini, Irena Axmanová, Milan Chytrý, Jiri Dolezal, Denys Vynokurov, Marta Czarniecka-Wiera, Zdeňka Lososová, Robert K. Peet, Simon Stifter, Ricarda Pätsch, Koenraad Van Meerbeek, Alba Gutiérrez-Girón, Simona Maccherini, András Kelemen, Thomas Becker, Michal Hájek, Christian Pedersen, Stefan Widmer, Remigiusz Pielech, Vladimir Ronkin, Kai Jensen, Anna Wróbel, Cristina Chocarro, Sebastian Świerszcz, Lei Deng, Arkadiusz Nowak, Luisa Conti, Eulàlia Pladevall-Izard, Swantje Löbel, Jonathan Etzold, Jan Peters, Hans Henrik Bruun, Elisabeth M. Hüllbusch, Anna Kuzemko, Martin Magnes, Rayna Natcheva, Riccardo Guarino, Joaquín Molero Mesa, Vasco Silva, Pavel Dřevojan, Iuliia Vasheniak, Jan Lepš, Péter Török, Timo Conradi, Marcin Nobis, Aaron Pérez-Haase, Yun Wang, María Rosa Fernández Calzado, Ilaria Bonini, Massimo Terzi, Meelis Pärtel, Liqing Zhao, Csaba Tölgyesi, Frank Weiser, Philipp Kirschner, Juan Antonio Campos, Zuzana Plesková, László Demeter, George Fayvush, Asun Berastegi, Behlül Güler, Diego Liendo, Nancy Langer, Manfred Finckh, Martin Diekmann, Florian Jeltsch, Anke Jentsch, Robin J. Pakeman, Tobias Ceulemans, Javier Etayo, Orsolya Valkó, Carly J. Stevens, Kaoru Kakinuma, Michele Aleffi, Jiří Danihelka, Alicia Teresa Rosario Acosta, Balázs Teleki, Laura M. E. Sutcliffe, Solvita Rusina, Rosario G. Gavilán, Pieter De Frenne, Michele Mugnai, Arantzazu L. Luzuriaga, Marc Olivier Büchler, Lubomír Tichý, Soroor Rahmanian, Zsolt Molnár, Itziar García-Mijangos, Jürgen Dengler, Harald Pauli, Asuka Koyama, Anvar Sanaei, Cecilia Dupré, Parvaneh Ashouri, Vladimir G. Onipchenko, Ute Jandt, Zoltán Bátori, François Gillet, Alla Aleksanyan, Ariel Bergamini, Corrado Marcenò, Constantin Mardari, Nadezda Tsarevskaya, José Luis Benito Alonso, Łukasz Kozub, Ottar Michelsen, Felix May, Goffredo Filibeck, Jan Roleček, Jalil Noroozi, Karsten Wesche, Eva Šmerdová, Michael Manthey, Triin Reitalu, Ana M. Sánchez, Eszter Ruprecht, Regina Lindborg, Idoia Biurrun, Risto Virtanen, Gianpietro Giusso del Galdo, Helmut Mayrhofer, Annika K. Jägerbrand, Mansoureh Kargar, Chrisoula B. Pirini, Dariia Shyriaieva, Sabina Burrascano, Esther Baumann, Christian Dolnik, Kristina Merunková, Ching-Feng Li, Eliane S. Meier, Kuber Prasad Bhatta, Mercedes Herrera, Klaus Ecker, Mohammad Farzam, Marta Torca, Nele Ingerpuu, Philippe Jeanneret, Francesco de Bello, Alireza Naqinezhad, Tünde Farkas, Elena Belonovskaya, Josep M. Ninot, Elias Afif, Munemitsu Akasaka, Lorenzo Lazzaro, András Vojtkó, Leonardo Rosati, Jianshuang Wu, Arshad Ali, Sándor Bartha, Zuoqiang Yuan, Wenhong Ma, Patryk Czortek, Marta Carboni, Franz Essl, Hannah J. White, Carmen Van Mechelen, Brigitta Erschbamer, Marek Malicki, Vasyl Budzhak, Jutta Kapfer, Manuela Winkler, Angela Lomba, Hamid Ejtehadi, Judit Sonkoly, Ingrid Turisová, Thomas Vanneste, Laura Cancellieri, Sonja Škornik, David Zelený, Zygmunt Kącki, Alessandro Chiarucci, Salza Palpurina, Sigrid Suchrow, Kathrin Kiehl, Amir Talebi, Beata Cykowska-Marzencka, Borja Jiménez-Alfaro, Nataša Pipenbaher, Frank Yonghong Li, Wendy Fjellstad, Ivana Vitasović-Kosić, Maria Pilar Rodríguez-Rojo, Álvaro Bueno, Daniele Viciani, Juha M. Alatalo, Emelie Waldén, Sahar Ghafari, Grzegorz Swacha, Anna Mária Csergő, Lu Wen, Balázs Deák, Ioannis Tsiripidis, Luis Villar, Maria-Teresa Sebastià, Svetlana Aćić, Halime Moradi, Kiril Vassilev, Daniel García-Magro, Sebastian Wolfrum, Iva Apostolova, Marko Sabovljevic, Giovanna Potenza, Monika Staniaszek-Kik, Iwona Dembicz, Aveliina Helm, Marta Czarnocka-Cieciura, Marta Gaia Sperandii, John-Arvid Grytnes, Laboratoire Chrono-environnement - CNRS - UBFC (UMR 6249) (LCE), Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Biurrun I., Pielech R., Dembicz I., Gillet F., Kozub L., Marceno C., Reitalu T., Van Meerbeek K., Guarino R., Chytry M., Pakeman R.J., Preislerova Z., Axmanova I., Burrascano S., Bartha S., Boch S., Bruun H.H., Conradi T., De Frenne P., Essl F., Filibeck G., Hajek M., Jimenez-Alfaro B., Kuzemko A., Molnar Z., Partel M., Patsch R., Prentice H.C., Rolecek J., Sutcliffe L.M.E., Terzi M., Winkler M., Wu J., Acic S., Acosta A.T.R., Afif E., Akasaka M., Alatalo J.M., Aleffi M., Aleksanyan A., Ali A., Apostolova I., Ashouri P., Batori Z., Baumann E., Becker T., Belonovskaya E., Benito Alonso J.L., Berastegi A., Bergamini A., Bhatta K.P., Bonini I., Buchler M.-O., Budzhak V., Bueno A., Buldrini F., Campos J.A., Cancellieri L., Carboni M., Ceulemans T., Chiarucci A., Chocarro C., Conti L., Csergo A.M., Cykowska-Marzencka B., Czarniecka-Wiera M., Czarnocka-Cieciura M., Czortek P., Danihelka J., de Bello F., Deak B., Demeter L., Deng L., Diekmann M., Dolezal J., Dolnik C., Drevojan P., Dupre C., Ecker K., Ejtehadi H., Erschbamer B., Etayo J., Etzold J., Farkas T., Farzam M., Fayvush G., Fernandez Calzado M.R., Finckh M., Fjellstad W., Fotiadis G., Garcia-Magro D., Garcia-Mijangos I., Gavilan R.G., Germany M., Ghafari S., Giusso del Galdo G.P., Grytnes J.-A., Guler B., Gutierrez-Giron A., Helm A., Herrera M., Hullbusch E.M., Ingerpuu N., Jagerbrand A.K., Jandt U., Janisova M., Jeanneret P., Jeltsch F., Jensen K., Jentsch A., Kacki Z., Kakinuma K., Kapfer J., Kargar M., Kelemen A., Kiehl K., Kirschner P., Koyama A., Langer N., Lazzaro L., Leps J., Li C.-F., Li F.Y., Liendo D., Lindborg R., Lobel S., Lomba A., Lososova 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., Merunkova 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., Perez-Haase A., Peters J., Pipenbaher N., Pirini C., Pladevall-Izard E., Pleskova Z., Potenza G., Rahmanian S., Rodriguez-Rojo M.P., Ronkin V., Rosati L., Ruprecht E., Rusina S., Sabovljevic M., Sanaei A., Sanchez A.M., Santi F., Savchenko G., Sebastia M.T., Shyriaieva D., Silva V., Skornik S., Smerdova E., Sonkoly J., Sperandii M.G., Staniaszek-Kik M., Stevens C., Stifter S., Suchrow S., Swacha G., Swierszcz S., Talebi A., Teleki B., Tichy L., Tolgyesi C., Torca M., Torok P., Tsarevskaya N., Tsiripidis I., Turisova I., Ushimaru A., Valko O., Van Mechelen C., Vanneste T., Vasheniak I., Vassilev K., Viciani D., Villar L., Virtanen R., Vitasovic-Kosic I., Vojtko A., Vynokurov D., Walden E., Wang Y., Weiser F., Wen L., Wesche K., White H., Widmer S., Wolfrum S., Wrobel A., Yuan Z., Zeleny D., Zhao L., Dengler J., Biurrun, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, Françoi, Kozub, Łukasz, Marcenò, Corrado, Reitalu, Triin, Van Meerbeek, Koenraad, Guarino, Riccardo, Chytrý, Milan, Pakeman, Robin J., Preislerová, Zdenka, Axmanová, Irena, Burrascano, Sabina, Bartha, Sándor, Boch, Steffen, Bruun, Hans Henrik, Conradi, Timo, De Frenne, Pieter, Essl, Franz, Filibeck, Goffredo, Hájek, Michal, Jiménez‐Alfaro, Borja, Kuzemko, Anna, Molnár, Zsolt, Pärtel, Meeli, Pätsch, Ricarda, Prentice, Honor C., Roleček, Jan, Sutcliffe, Laura M.E., Terzi, Massimo, Winkler, Manuela, Wu, Jianshuang, Aćić, Svetlana, Acosta, Alicia T.R., Afif, Elia, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Aleksanyan, Alla, Ali, Arshad, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thoma, Belonovskaya, Elena, Benito Alonso, José Lui, Berastegi, Asun, Bergamini, Ariel, Bhatta, Kuber Prasad, Bonini, Ilaria, Büchler, Marc‐Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ceulemans, Tobia, Chiarucci, Alessandro, Chocarro, Cristina, Conti, Luisa, Csergő, Anna Mária, Cykowska‐Marzencka, Beata, Czarniecka‐Wiera, Marta, Czarnocka‐Cieciura, Marta, Czortek, Patryk, Danihelka, Jiří, de Bello, Francesco, Deák, Baláz, Demeter, László, Deng, Lei, Diekmann, Martin, Dolezal, Jiri, Dolnik, Christian, Dřevojan, Pavel, Dupré, Cecilia, Ecker, Klau, Ejtehadi, Hamid, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Fayvush, George, Fernández Calzado, María Rosa, Finckh, Manfred, Fjellstad, Wendy, Fotiadis, Georgio, García‐Magro, Daniel, García‐Mijangos, Itziar, Gavilán, Rosario G., Germany, Marku, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John‐Arvid, Güler, Behlül, Gutiérrez‐Girón, Alba, Helm, Aveliina, Herrera, Mercede, Hüllbusch, Elisabeth M., Ingerpuu, Nele, Jägerbrand, Annika K., Jandt, Ute, Janišová, Monika, Jeanneret, Philippe, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Kącki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kargar, Mansoureh, Kelemen, Andrá, Kiehl, Kathrin, Kirschner, Philipp, Koyama, Asuka, Langer, Nancy, Lazzaro, Lorenzo, Lepš, Jan, Li, Ching‐Feng, Li, Frank Yonghong, Liendo, Diego, Lindborg, Regina, Löbel, Swantje, Lomba, Angela, Lososová, Zdeňka, Lustyk, Pavel, Luzuriaga, Arantzazu L., Ma, Wenhong, Maccherini, Simona, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Mayrhofer, Helmut, Meier, Eliane Seraina, Memariani, Farshid, Merunková, Kristina, Michelsen, Ottar, Molero Mesa, Joaquín, Moradi, Halime, Moysiyenko, Ivan, Mugnai, Michele, Naqinezhad, Alireza, Natcheva, Rayna, Ninot, Josep M., Nobis, Marcin, Noroozi, Jalil, Nowak, Arkadiusz, Onipchenko, Vladimir, Palpurina, Salza, Pauli, Harald, Pedashenko, Hristo, Pedersen, Christian, Peet, Robert K., Pérez‐Haase, Aaron, Peters, Jan, Pipenbaher, Nataša, Pirini, Chrisoula, Pladevall‐Izard, Eulàlia, Plesková, Zuzana, Potenza, Giovanna, Rahmanian, Soroor, Rodríguez‐Rojo, Maria Pilar, Ronkin, Vladimir, Rosati, Leonardo, Ruprecht, Eszter, Rusina, Solvita, Sabovljević, Marko, Sanaei, Anvar, Sánchez, Ana M., Santi, Francesco, Savchenko, Galina, Sebastià, Maria Teresa, Shyriaieva, Dariia, Silva, Vasco, Škornik, Sonja, Šmerdová, Eva, Sonkoly, Judit, Sperandii, Marta Gaia, Staniaszek‐Kik, Monika, Stevens, Carly, Stifter, Simon, Suchrow, Sigrid, Swacha, Grzegorz, Świerszcz, Sebastian, Talebi, Amir, Teleki, Baláz, Tichý, Lubomír, Tölgyesi, Csaba, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioanni, Turisova, Ingrid, Ushimaru, Atushi, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thoma, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Lui, Virtanen, Risto, Vitasović‐Kosić, Ivana, Vojtkó, Andrá, Vynokurov, Deny, Waldén, Emelie, Wang, Yun, Weiser, Frank, Wen, Lu, Wesche, Karsten, White, Hannah, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Zelený, David, Zhao, Liqing, Dengler, Jürgen, Bavarian Research Foundation, International Association for Vegetation Science, Eusko Jaurlaritza, Czech Science Foundation, Estonian Research Council, Scottish Government's Rural and Environment Science and Analytical Services, Ministero dell'Istruzione, dell'Università e della Ricerca, Agencia Estatal de Investigación (España), Science and Technology Center in Ukraine, Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning, Swedish Institute, Foundation for Introducing Talent of Nanjing University of Information Science and Technology, Hebei Province, Academy of Sciences of the Czech Republic, Hungarian Academy of Sciences, Tyrolean Science Fund, Austrian Academy of Sciences, University of Innsbruck, Ministerio de Economía y Competitividad (España), Comunidad de Madrid, National Geographic Society, Slovak Academy of Sciences, Fundação para a Ciência e a Tecnologia (Portugal), National Science Centre (Poland), Russian Science Foundation, University of Latvia Foundation, Slovenian Research Agency, Biurrun, I, Pielech, R, Dembicz, I, Gillet, F, Kozub, L, Marceno, C, Reitalu, T, Van Meerbeek, K, Guarino, R, Chytry, M, Pakeman, RJ, Preislerova, Z, Axmanova, I, Burrascano, S, Bartha, S, Boch, S, Bruun, HH, Conradi, T, De Frenne, P, Essl, F, Filibeck, G, Hajek, M, Jimenez-Alfaro, B, Kuzemko, A, MOLNAR, Zsolt, Partel, M, Patsch, R, Prentice, HC, Rolecek, J, Sutcliffe, LME, Terzi, M, Winkler, M, Wu, JS, Acic, S, Acosta, ATR, Afif, E, Akasaka, M, Alatalo, JM, Aleffi, M, Aleksanyan, A, Ali, A, Apostolova, I, Ashouri, P, Batori, Z, Baumann, E, BECKER, T, Belonovskaya, E, Alonso, JLB, Berastegi, A, Bergamini, A, Bhatta, KP, Bonini, I, Buchler, MO, Budzhak, V, Bueno, A, Buldrini, F, Campos, JA, Cancellieri, L, Carboni, M, Ceulemans, T, Chiarucci, A, Chocarro, C, Conti, L, Csergo, AM, Cykowska-Marzencka, B, Czarniecka-Wiera, M, Czarnocka-Cieciura, M, Czortek, P, Danihelka, J, Bello, F, Deak, B, Demeter, L, Deng, L, Diekmann, M, Dolezal, J, Dolnik, C, Drevojan, P, Dupre, C, Ecker, K, Ejtehadi, H, Erschbamer, B, Etayo, J, Etzold, J, Farkas, T, Farzam, M, Fayvush, G, Calzado, MRF, Finckh, M, Fjellstad, W, Fotiadis, G, Garcia-Magro, D, Garcia-Mijangos, I, Gavilan, RG, Germany, M, Ghafari, S, del Galdo, GPG, Grytnes, JA, Guler, B, Gutierrez-Giron, A, Helm, A, Herrera, M, Hullbusch, EM, Ingerpuu, N, Jagerbrand, AK, Jandt, U, Janisova, M, Jeanneret, P, Jeltsch, F, Jensen, K, Jentsch, A, Kacki, Z, Kakinuma, K, Kapfer, J, Kargar, M, Kelemen, A, Kiehl, K, Kirschner, P, Koyama, A, Langer, N, Lazzaro, L, Leps, J, Li, CF, Li, FY, Liendo, D, Lindborg, R, Lobel, S, Lomba, A, Lososova, Z, Lustyk, P, Luzuriaga, AL, Ma, WH, Maccherini, S, Magnes, M, Malicki, M, Manthey, M, Mardari, C, May, F, Mayrhofer, H, Meier, ES, Memariani, F, Merunkova, K, Michelsen, O, Mesa, JM, Moradi, H, Moysiyenko, I, Mugnai, M, Naqinezhad, A, Natcheva, R, Ninot, JM, Nobis, M, Noroozi, J, Nowak, A, Onipchenko, V, Palpurina, S, Pauli, H, Pedashenko, H, Pedersen, C, Peet, RK, Perez-Haase, A, Peters, J, Pipenbaher, N, Pirini, C, Pladevall-Izard, E, Pleskova, Z, Potenza, G, Rahmanian, S, Rodriguez-Rojo, MP, Ronkin, V, Rosati, L, Ruprecht, E, Rusina, S, Sabovljevic, M, Sanaei, A, Sanchez, AM, Santi, F, Savchenko, G, Sebastia, MT, Shyriaieva, D, Silva, V, Skornik, S, Smerdova, E, Sonkoly, J, Sperandii, MG, Staniaszek-Kik, M, Stevens, C, Stifter, S, Suchrow, S, Swacha, G, Swierszcz, S, Talebi, A, Teleki, B, Tichy, L, Tolgyesi, C, Torca, M, Torok, P, Tsarevskaya, N, Tsiripidis, I, Turisova, I, Ushimaru, A, Valko, O, VAN MECHELEN, Carmen, Vanneste, T, Vasheniak, I, Vassilev, K, Viciani, D, Villar, L, Virtanen, R, Vitasovic-Kosic, I, Vojtko, A, Vynokurov, D, Walden, E, Wang, Y., Weiser, F, Wen, L, Wesche, K, White, H, Widmer, S, Wolfrum, S, Wrobel, A, Yuan, ZQ, Zeleny, D, Zhao, LQ, Dengler, J., Jiménez‐alfaro, Borja, Sutcliffe, Laura M. E., Acosta, Alicia, Büchler, Marc‐olivier, Cykowska‐marzencka, Beata, Czarniecka‐wiera, Marta, Czarnocka‐cieciura, Marta, Bello, Francesco, García‐magro, Daniel, García‐mijangos, Itziar, Grytnes, John‐arvid, Gutiérrez‐girón, Alba, Li, Ching‐feng, Pérez‐haase, Aaron, Pladevall‐izard, Eulàlia, Rodríguez‐rojo, Maria Pilar, Staniaszek‐kik, Monika, Turisová, Ingrid, and Vitasović‐kosić, Ivana
Subjects: Vascular plant, SURROGATE, 333.7: Landflächen, Naturerholungsgebiete, Biome, Lichen, open habitat, Plant Science, DATABASES, Benchmark, Grassland, Scale dependence, benchmark, RICHNESS HOTSPOTS, Vegetation type, Taxonomic rank, SCALE, Macroecology, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, bryophyte, GLOBAL PATTERNS, geography.geographical_feature_category, Ecology, Open habitat, vascular plant, Forestry, ichen, Vegetation, Vegetation plot, Palaearctic, 580: Pflanzen (Botanik), Geography, Habitat, scale dependence, fine-grain biodiversity, grassland, GrassPlot Diversity Explorer, lichen, species–area relationship, vegetation plot, Life Sciences & Biomedicine, CONSERVATION, Environmental Sciences & Ecology, Fine-grain biodiversity, benchmark, bryophyte, fine-grain biodiversity, grassland, GrassPlot Diversity Explorer, lichen, open habitat, Palaearctic, scale dependence, species–area relationship, vascular plant, vegetation plot, species-area relationship, benchmark, bryophyte, fine-grain biodiversity, grassland, GrassPlot Diversity Explorer, lichen, open habitat, Palaearctic, scale dependence, species-area relationship, vascular plant, vegetation plot, Species–area relationship, Science & Technology, Plant Sciences, Biology and Life Sciences, 15. Life on land, plant diversity, 13. Climate action, Bryophyte, SPECIES-AREA RELATIONSHIPS, VASCULAR PLANTS, BIODIVERSITY, Species richness, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, BRYOPHYTES
Abstract: © 2021 The Authors., 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 m 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., GrassPlot development has been supported by the Bavarian Research Alliance (BayIntAn_UBT_2017_58), the Eurasian Dry Grassland Group (EDGG) and the International Association for Vegetation Science (IAVS); IB, CorM, JAC, IGM, DGM, MHe, DL and MTo were supported by the Basque Government (IT936‐16); CorM, IAx, MCh, JDa, PD, MHá, ZL, ZPr, EŠ and LT were supported by the Czech Science Foundation (19‐28491X); TR was supported by the Estonian Research Council (PUT1173); RJP was funded by the Strategic Research Programme of the Scottish Government’s Rural and Environmental Science and Analytical Services Division”; SBa was supported by the GINOP‐2.3.2‐15‐2016‐00019 project; GFi was partially supported by the MIUR initiative “Department of excellence” (Law 232/2016)"; BJA was funded by the Spanish Research Agency (grant AEI/ 10.13039/501100011033); AK, VB, IM, DS, IV and DV were supported by the National Research Foundation of Ukraine (2020.01/0140); MP and AH were supported by the Estonian Research Council (PRG874, PRG609), and the European Regional Development Fund (Centre of Excellence EcolChange); Data collection of HCP was funded by FORMAS (Swedish Research Council for Environment, Agricultural Science and Spatial Planning) and The Swedish Institute; JR was supported by the Czech Science Foundation (grant No. 20‐09895S) and the long‐term developmental project of the Czech Academy of Sciences (RVO 67985939); ATRA was funded by the Grant of Excellence Departments, MIUR‐Italy (ARTICOLO 1, COMMI 314 – 337 LEGGE 232/2016); JMA was supported by Carl Tryggers stiftelse för vetenskaplig forskning and Qatar Petroleum; AAli was supported by the Jiangsu Science and Technology Special Project (Grant No. BX2019084), and Metasequoia Faculty Research Startup Funding at Nanjing Forestry University (Grant No. 163010230), and he is currently supported by Hebei University through Faculty Research Startup Funding Program; ZB was supported by the NKFI K 124796 grant; The GLORIA‐ Aragón project of JLBA was funded by the Dirección General de Cambio Climático del Gobierno de Aragón (Spain); MCs and LDem were supported by DG Environment through the European Forum on Nature Conservation and Pastoralism and Barbara Knowles Fund, in collaboration with Pogány‐havas Association, Romania; JDa was partially supported by long‐term research development project no. RVO 67985939 of the Czech Academy of Sciences; BD and OV were supported by the NKFI KH 126476, NKFI KH 130338, NKFI FK 124404 and NKFI FK 135329 grants; BD, OV and AKe were supported by the Bolyai János Scholarship of the Hungarian Academy of Sciences; BE was funded by the Environmental Department of the Tyrolean Federal State Government, the MAB Programme of the Austrian Academy of Science, the Mountain Agriculture Research Unit and the Alpine Research Centre Obergurgl of Innsbruck University. The GLORIA projects of BE were funded by the EU project no. EVK2‐CT‐2000‐00056, the Earth System Sciences Program of the Austrian Academy of Sciences (project MEDIALPS), the Amt für Naturparke, Autonome Provinz Bozen‐Südtirol, the Südtiroler Wissenschaftsfonds and the Tiroler Wissenschaftsfonds; RGG was supported by the Spanish Ministry of Research to sample GLORIA sites in central Spain (CGL 2008‐00901/BOS) and present works by the Autonomous Region of Madrid (REMEDINAL TE‐CM, S2018/EMT‐4338); MJ was supporteLatviaed by Latvia Grant No. 194051; NP and SŠ were partly supported by the Slovenian Research Agency, core fundings P1‐0403 and J7‐1822.
Published: 2021

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

Author: Monika Janišová, Anne Mimet, Steffen Boch, Anna Kuzemko, Juan Antonio Campos, Thomas J. Matthews, Sebastian Wolfrum, Massimo Terzi, Pieter De Frenne, Remigiusz Pielech, Giovanna Potenza, Robert K. Peet, Corrado Marcenò, Iwona Dembicz, Christian Dolnik, Marta Carboni, Orsolya Valkó, David Storch, Łukasz Kozub, Riccardo Guarino, Giampiero Ciaschetti, Christian Pedersen, Arkadiusz Nowak, Denys Vynokurov, Hannah J. White, John-Arvid Grytnes, Franz Essl, Jiri Dolezal, Manuel J. Steinbauer, Idoia Biurrun, Michael Manthey, Laura Cancellieri, Ewelina Klichowska, Edy Fantinato, Behlül Güler, Alireza Naqinezhad, Timo Conradi, Werner Ulrich, Alessandro Chiarucci, Vincent Pellissier, Itziar García-Mijangos, Jürgen Dengler, Goffredo Filibeck, Leonardo Rosati, Manuela Winkler, Dengler J., Matthews T.J., Steinbauer M.J., Wolfrum S., Boch S., Chiarucci A., Conradi T., Dembicz I., Marceno C., Garcia-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., Guler B., Janisova M., Klichowska E., Kozub L., Kuzemko A., Manthey M., Mimet A., Naqinezhad A., Pedersen C., Peet R.K., Pellissier V., Pielech R., Potenza G., Rosati L., Terzi M., Valko 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., Marceno, C., Garcia-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., Guler, B., Janisova, M., Klichowska, E., Kozub, L., Kuzemko, A., Manthey, M., Mimet, A., Naqinezhad, A., Pedersen, C., Peet, R. K., Pellissier, V., Pielech, R., Potenza, G., Rosati, L., Terzi, M., Valko, O., Vynokurov, D., White, H., Winkler, M., and Biurrun, I.
Subjects: curves, shapes, species– area relationship (SAR), Michaelis–Menten function, Biome, Grassland, Vegetation type, logarithmic function, Taxonomic rank, Lichen, Nested‐plot Sampling, geography.geographical_feature_category, power law, Ecology, VDP::Landbruks- og Fiskerifag: 900, biology, Settore BIO/02 - Botanica Sistematica, Palaearctic grassland, species-area relationship (SAR), ddc, nonlinear regression, scale dependence, Michaelis–Menten Function, minimal area, nested-plot sampling, plant biodiversity, scaling law, species–area relationship (SAR), environment, nested‐plot sampling, Evolution, Species-area relationship, diversity, Behavior and Systematics, species- area relationship (SAR), ddc:570, 577: Ökologie, Ecology, Evolution, Behavior and Systematics, geography, model, fungi, Biology and Life Sciences, Species diversity, Plant community, Species–area Relationship (SAR), Earth and Environmental Sciences, Michaelis-Menten function, Species richness, richness
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 cm(2) to 1,024 m(2). 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 Michaelis-Menten function demonstrates that richness within plant communities generally does not approach any saturation, thus calling into question the concept of minimal area. We thank all vegetation scientists who carefully collected multi‐ scale plant diversity data from Palaearctic Grasslands available in GrassPlot. The Eurasian Dry Grassland Group (EDGG) and the International Association for Vegetation Science (IAVS) sup‐ ported the EDGG Field Workshops, which generated a core part of the GrassPlot data. The Bavarian Research Alliance (grant BayIntAn_UBT_2017_58) and the Bayreuth Center of Ecology and Environmental Research (BayCEER) funded the initial GrassPlot workshop during which the database was established and the cur‐ rent paper was initiated. A.N. acknowledges support by the Center for International Scientific Studies and Collaboration (CISSC), Iran. C.M., I.B., I.G.‐M and J.A.C. were funded by the Basque Government (IT936‐16). D.V. carried out the research supported by a grant of the State Fund For Fundamental Research Ф83/53427. G.F. carried out the research in the frame of the MIUR initiative ‘Department of excellence' (Law 232/2016). I.D. was supported by the Polish National Science Centre (grant DEC‐2013/09/N/NZ8/03234). J.Do. was supported by the Czech Science Foundation (GA 17‐19376S). M.J. was supported by grant by Slovak Academy of Sciences (VEGA 02/0095/19). W.U. ac‐ knowledges support from the Polish National Science Centre (grant 2017/27/B/NZ8/00316).
Published: 2019

29. Global trait–environment relationships of plant communities

Author: Esteban Álvarez-Dávila, Maurizio Mencuccini, Zhiyao Tang, Norbert Jürgens, Christopher Baraloto, Robert K. Peet, Jérôme Munzinger, Josep Peñuelas, Peter M. van Bodegom, Erwin Bergmeier, Wim A. Ozinga, Isabelle Aubin, Yadvinder Malhi, Michele De Sanctis, William Farfan-Rios, Marten Winter, Benjamin Blonder, Jordi Sardans, Christian Wirth, Valério D. Pillar, Nicole J. Fenton, Ilona Knollová, Jiří Doležal, Miguel D. Mahecha, Jens Kattge, Marijn Bauters, Zoltán Botta-Dukát, Francesco Maria Sabatini, Jonathan Lenoir, Peter B. Reich, Florian Jansen, Jorcely Barroso, Frédérique Louault, Anne D. Bjorkman, Alvaro G. Gutiérrez, Michael Kleyer, Matteo Dainese, Dylan Craven, Andraž Čarni, Anita K. Smyth, Gunnar Seidler, Idoia Biurrun, Ted R. Feldpausch, Javier Silva Espejo, Helge Bruelheide, Risto Virtanen, Tarek Hattab, Franziska Schrodt, Greg R. Guerin, Sandra Díaz, Anke Jentsch, Jürgen Dengler, Borja Jiménez-Alfaro, J. Hans C. Cornelissen, Kate H. Orwin, Bruno Hérault, Tomáš Černý, Stephan M. Hennekens, Erik Welk, Frederic Lens, Mohammed Abu Sayed Arfin Khan, Jacqueline Loos, Kiril Vassilev, Milan Chytrý, Jonas V. Müller, Christine Römermann, Sylvia Haider, Géraldine Derroire, Marcos Silveira, Greg H. R. Henry, Petr Petřík, Ülo Niinemets, Zygmunt Kącki, Isla H. Myers-Smith, Michael Kessler, Dirk Nikolaus Karger, Evan Weiher, Andrey Yu. Korolyuk, Richard Field, Raquel Thomas, Eric Garnier, Luis Cayuela, Brody Sandel, Cyrille Violle, Jens-Christian Svenning, Corrado Marcenò, Aaron Pérez-Haase, Daniel C. Laughlin, Pedro Higuchi, Jürgen Homeier, Ute Jandt, Fabio Attorre, Karsten Wesche, Norbert Hölzel, Oliver L. Phillips, Ingolf Kühn, Marco Schmidt, Meelis Pärtel, David A. Neill, Maria Sporbert, Mariyana Lyubenova, Oliver Purschke, Arthur Vinicius Rodrigues, Ioannis Tsiripidis, Jan Altman, Institute of Biology/Geobotany and Botanical Garden, Martin-Luther-Universität Halle Wittenberg (MLU), Universität Bayreuth, German Centre for Integrative Biodiversity Research (iDiv), UR Ecol & Dynam Syst Anthropises EDYSAN, UMR CNRS 7058, Université de Picardie Jules Verne (UPJV), Department of Botany and Zoology, Masaryk University, ALTERRA Wageningen, ALTERRA, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Universiteit Leiden [Leiden], Fundación Con-Vida, Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Universidade Federal do Acre (UFAC), Ecology and Evolutionary Biology [Tucson] (EEB), University of Arizona, National Institute of Biology [Ljubljana], Universidad Rey Juan Carlos [Madrid] (URJC), Vrije Universiteit Amsterdam [Amsterdam] (VU), Royal Institute of Technology (KTH), Department of Microelectronics and Information Technology, Kista Photonics Research Center (KPRC) (KTH), Royal Institute of Technology [Stockholm] (KTH ), AgroParisTech, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Ecosystèmes et Ressources Aquatiques (UR03AGRO1), Institut National Agronomique de Tunisie, Westfälische Wilhelms-Universität Münster (WWU), Georg-August-Universität Göttingen, Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Zurich, Landscape Ecology Group, University of Oldenburg, Helmholtz Zentrum für Umweltforschung (UFZ), Netherlands Centre for Biodiversity Naturalis, Institute of Ecology, Leuphana University, Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Environmental Change Institute, University of Oxford [Oxford], School of Geosciences [Edinburgh], University of Edinburgh, Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universidad Estatal Amazonica, Estonian University of Life Sciences, University of Nijmegen, Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] (UAB), Institute of Ecology and Earth Sciences, University of Tartu, University of Tartu, Department of Forest Resources, University of Minnesota [Twin Cities], University of Minnesota System-University of Minnesota System, Universität Regensburg (REGENSBURG), Universität Regensburg, Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Dept Biol Sci, Ecoinformat & Biodivers Grp, Aarhus University [Aarhus], Aristotle University of Thessaloniki, Dept Biol, University of Oulu, University of Wisconsin-Eau Claire, Department of Botany, Senckenberg Natural History Museum, Synthesis Centre for Biodiversity Sciences, German Centre for Integrative Biodiversity Research, Universität Leipzig [Leipzig], Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Ecologie et Dynamique des Systèmes Anthropisés - UMR CNRS 7058 (EDYSAN), Université de Picardie Jules Verne (UPJV)-Centre National de la Recherche Scientifique (CNRS), Masaryk University [Brno] (MUNI), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), MARine Biodiversity Exploitation and Conservation (UMR MARBEC), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Georg-August-University [Göttingen], Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud]), Universitat Autònoma de Barcelona (UAB), University of Minnesota [Twin Cities] (UMN), Martin-Luther-University Halle-Wittenberg, Ecologie et Dynamique des Systèmes Anthropisés (EDYSAN), Wageningen University and Research Centre [Wageningen] (WUR), Chercheur indépendant, Department of Ecological Modelling [UFZ Leipzig], Helmholtz Centre for Environmental Research (UFZ), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Hawkesbury Institute for the Environment [Richmond] (HIE), Western Sydney University (UWS), Bruelheide H., Dengler J., Purschke O., Lenoir J., Jimenez-Alfaro B., Hennekens S.M., Botta-Dukat Z., Chytry 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-Davila E., Arfin Khan M.A.S., Attorre F., Aubin I., Baraloto C., Barroso J.G., Bauters M., Bergmeier E., Biurrun I., Bjorkman A.D., Blonder B., Carni A., Cayuela L., Cerny T., Cornelissen J.H.C., Craven D., Dainese M., Derroire G., De Sanctis M., Diaz S., Dolezal J., Farfan-Rios W., Feldpausch T.R., Fenton N.J., Garnier E., Guerin G.R., Gutierrez A.G., Haider S., Hattab T., Henry G., Herault B., Higuchi P., Holzel N., Homeier J., Jentsch A., Jurgens N., Kacki Z., Karger D.N., Kessler M., Kleyer M., Knollova I., Korolyuk A.Y., Kuhn I., Laughlin D.C., Lens F., Loos J., Louault F., Lyubenova M.I., Malhi Y., Marceno C., Mencuccini M., Muller J.V., Munzinger J., Myers-Smith I.H., Neill D.A., Niinemets U., Orwin K.H., Ozinga W.A., Penuelas J., Perez-Haase A., Petrik P., Phillips O.L., Partel M., Reich P.B., Romermann 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 R., Weiher E., Welk E., Wesche K., Winter M., Wirth C., Jandt U., Systems Ecology, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Institut de Recherche pour le Développement (IRD [France-Sud])-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0106 biological sciences, [SDV]Life Sciences [q-bio], Bos- en Landschapsecologie, 01 natural sciences, Ecosystem services, forests, grassland, life history traits, plant dispersal, plants, Forest and Landscape Ecology, Environmental planning, OT PB Vredepeel, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, diversité fonctionnelle, Ecology, Vegetation, Plants, Grassland, économie foliaire, Biogeography, Community Ecology, Ecosystems Research, [SDE]Environmental Sciences, Trait, Vegetatie, Bos- en Landschapsecologie, F40 - Écologie végétale, F60 - Physiologie et biochimie végétale, [SDE.MCG]Environmental Sciences/Global Changes, education, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Life History Trait, Biology, Sustainability Science, 010603 evolutionary biology, température, Life Science, prédiction, Ecosystem, Forest, 577: Ökologie, Vegetatie, Ecology, Evolution, Behavior and Systematics, climat, Plant Dispersal, Niche differentiation, Plant community, 15. Life on land, Disturbance (ecology), Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Scale (map), 010606 plant biology & botany
Abstract: International audience; Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.
Published: 2018

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29 results on '"Peet, R.K."'

1. Global patterns of vascular plant alpha diversity

2. Rescuing valuable Arctic vegetation data for biodiversity models, ecosystem models and a panarctic vegetation classification

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

4. Global functional variation in alpine vegetation

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

6. Global patterns and drivers of alpine plant species richness

7. Fine-grain beta diversity of Palaearctic grassland vegetation

8. Progress in vegetation science: Trends over the past three decades and new horizons

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

10. Similar factors underlie tree abundance in forests in native and alien ranges

11. sPlot – a new tool for global vegetation analyses

12. Global trait–environment relationships of plant communities

13. A hierarchic approach for examining panarctic vegeta0on with a focus on the linkages between remote-sensing and plot-based studies: A prototype example from Toolik Lake, Alaska

14. A comparative framework for broad-scale plot-based vegetation classification

15. Vegetation databases for the 21st century

16. The global index of vegetation-plot databases (givd): A new resource for vegetation science

17. Patterns of floodplain sediment deposition along the regulated lower Roanoke River, North Carolina: Annual, decadal, centennial scales

18. Ecoinformatics and global change – an overdue liaison

19. Perspectives: Towards a language for mapping relationships among taxonomic concepts

20. Spatial pattern of Quercus regeneration limitation and Acer rubrum invasion in a Piedmont forest

21. CONVERGENCE DURING SECONDARY FOREST SUCCESSION.

22. Global patterns and drivers of alpine plant species richness

23. Global functional variation in alpine vegetation

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

25. Fine‐grain beta diversity of Palaearctic grassland vegetation

26. The relationship between niche breadth and range size of beech (Fagus) species worldwide

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

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

29. Global trait–environment relationships of plant communities

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29 results on '"Peet, R.K."'

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