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1. A global database for metacommunity ecology, integrating species, traits, environment and space

Author

Jeliazkov, Alienor, Mijatovic, Darko, Chantepie, Stéphane, Andrew, Nigel, Arlettaz, Raphaël, Barbaro, Luc, Barsoum, Nadia, Bartonova, Alena, Belskaya, Elena, Bonada, Núria, Brind’Amour, Anik, Carvalho, Rodrigo, Castro, Helena, Chmura, Damian, Choler, Philippe, Chong-Seng, Karen, Cleary, Daniel, Cormont, Anouk, Cornwell, William, de Campos, Ramiro, de Voogd, Nicole, Doledec, Sylvain, Drew, Joshua, Dziock, Frank, Eallonardo, Anthony, Edgar, Melanie J, Farneda, Fábio, Hernandez, Domingo Flores, Frenette-Dussault, Cédric, Fried, Guillaume, Gallardo, Belinda, Gibb, Heloise, Gonçalves-Souza, Thiago, Higuti, Janet, Humbert, Jean-Yves, Krasnov, Boris R, Saux, Eric Le, Lindo, Zoe, Lopez-Baucells, Adria, Lowe, Elizabeth, Marteinsdottir, Bryndis, Martens, Koen, Meffert, Peter, Mellado-Díaz, Andres, Menz, Myles HM, Meyer, Christoph FJ, Miranda, Julia Ramos, Mouillot, David, Ossola, Alessandro, Pakeman, Robin, Pavoine, Sandrine, Pekin, Burak, Pino, Joan, Pocheville, Arnaud, Pomati, Francesco, Poschlod, Peter, Prentice, Honor C, Purschke, Oliver, Raevel, Valerie, Reitalu, Triin, Renema, Willem, Ribera, Ignacio, Robinson, Natalie, Robroek, Bjorn, Rocha, Ricardo, Shieh, Sen-Her, Spake, Rebecca, Staniaszek-Kik, Monika, Stanko, Michal, Tejerina-Garro, Francisco Leonardo, Braak, Cajo ter, Urban, Mark C, Klink, Roel van, Villéger, Sébastien, Wegman, Ruut, Westgate, Martin J, Wolff, Jonas, Żarnowiec, Jan, Zolotarev, Maxim, and Chase, Jonathan M

Subjects
Climate Change Impacts and Adaptation, Ecological Applications, Biological Sciences, Ecology, Environmental Sciences, Life on Land, Animals, Biodiversity, Biota, Plants
Abstract

The use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. Although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. To address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; "CESTES". Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CESTES database provides an important opportunity for synthetic trait-based research in community ecology.

Published
2020

2. Author Correction: A global database for metacommunity ecology, integrating species, traits, environment and space

Author

Jeliazkov, Alienor, Mijatovic, Darko, Chantepie, Stéphane, Andrew, Nigel, Arlettaz, Raphaël, Barbaro, Luc, Barsoum, Nadia, Bartonova, Alena, Belskaya, Elena, Bonada, Núria, Brind’Amour, Anik, Carvalho, Rodrigo, Castro, Helena, Chmura, Damian, Choler, Philippe, Chong-Seng, Karen, Cleary, Daniel, Cormont, Anouk, Cornwell, William, de Campos, Ramiro, de Voogd, Nicole, Doledec, Sylvain, Drew, Joshua, Dziock, Frank, Eallonardo, Anthony, Edgar, Melanie J, Farneda, Fábio, Hernandez, Domingo Flores, Frenette-Dussault, Cédric, Fried, Guillaume, Gallardo, Belinda, Gibb, Heloise, Gonçalves-Souza, Thiago, Higuti, Janet, Humbert, Jean-Yves, Krasnov, Boris R, Saux, Eric Le, Lindo, Zoe, Lopez-Baucells, Adria, Lowe, Elizabeth, Marteinsdottir, Bryndis, Martens, Koen, Meffert, Peter, Mellado-Díaz, Andres, Menz, Myles HM, Meyer, Christoph FJ, Miranda, Julia Ramos, Mouillot, David, Ossola, Alessandro, Pakeman, Robin, Pavoine, Sandrine, Pekin, Burak, Pino, Joan, Pocheville, Arnaud, Pomati, Francesco, Poschlod, Peter, Prentice, Honor C, Purschke, Oliver, Raevel, Valerie, Reitalu, Triin, Renema, Willem, Ribera, Ignacio, Robinson, Natalie, Robroek, Bjorn, Rocha, Ricardo, Shieh, Sen-Her, Spake, Rebecca, Staniaszek-Kik, Monika, Stanko, Michal, Tejerina-Garro, Francisco Leonardo, Braak, Cajo ter, Urban, Mark C, Klink, Roel van, Villéger, Sébastien, Wegman, Ruut, Westgate, Martin J, Wolff, Jonas, Żarnowiec, Jan, Zolotarev, Maxim, and Chase, Jonathan M

Subjects
Environmental Sciences, Biological Sciences, Ecology
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Published
2020

3. Habitat filtering determines the functional niche occupancy of plant communities worldwide

Author

Li, Yuanzhi, Shipley, Bill, Price, Jodi N, de L. Dantas, Vinícius, Tamme, Riin, Westoby, Mark, Siefert, Andrew, Schamp, Brandon S, Spasojevic, Marko J, Jung, Vincent, Laughlin, Daniel C, Richardson, Sarah J, Le Bagousse‐Pinguet, Yoann, Schöb, Christian, Gazol, Antonio, Prentice, Honor C, Gross, Nicolas, Overton, Jake, Cianciaruso, Marcus V, Louault, Frédérique, Kamiyama, Chiho, Nakashizuka, Tohru, Hikosaka, Kouki, Sasaki, Takehiro, Katabuchi, Masatoshi, Dussault, Cédric Frenette, Gaucherand, Stephanie, Chen, Ning, Vandewalle, Marie, and Batalha, Marco Antônio

Subjects
Life Below Water, community assembly, determinants of plant community diversity and structure, habitat filtering, intraspecific trait variability, limiting similarity, niche occupancy, species richness, Environmental Sciences, Biological Sciences, Agricultural and Veterinary Sciences, Ecology
Published
2018

17. Introduction

Author

Huntley, Brian, Cramer, Wolfgang, Morgan, Alan V., Prentice, Honor C., Allen, Judy R. M., Huntley, Brian, editor, Cramer, Wolfgang, editor, Morgan, Alan V., editor, Prentice, Honor C., editor, and Allen, Judy R. M., editor

Published
1997
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18. GrassPlot - a Database of Multi-Scale Plant Diversity in Palaearctic Grasslands

Author

Dengler, Jurgen, Wagner, Victoria, Dembicz, Iwona, Garcfa-Mijangos, ltziar, Naqinezhad, Alireza, Boch, Steffen, Chiarucci, Alessandro, Conradi, Timo, Filibeck, Goffredo, Guarino, Riccardo, Janisova, Monika, Steinbauer, Manuel J, Acic, Svetlana, Acosta, Alicia T. R, Akasaka, Munemitsu, Allers, Marc-Andre, Apostolova, Iva, Axmanova, Irena, Bakan, Branko, Baranova, Alina, Bardy-Durchhalter, Manfred, Bartha, Sandor, Baumann, Esther, Becker, Thomas, Becker, Ute, Belonovskaya, Elena, Bengtsson, Karin, Alonso, Jose Luis Benito, Berastegi, Asun, Bergamini, Ariel, Bonini, Ilaria, Bruun, Hans Henrik, Budzhak, Vasyl, Bueno, Alvaro, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Chocarro, Cristina, Conti, Luisa, Czarniecka-Wiera, Marta, Frenne, Pieter De, Deak, Balazs, Didukh, Yakiv P, Diekmann, Martin, Dolnik, Christian, Dupre, Cecilia, Ecker, Klaus, Ermakov, Nikolai, Erschbamer, Brigitta, Escudero, Adrian, Etayo, Javier, Fajmonova, Zuzana, Felde, Vivian A, Calzado, Maria Rosa Fernandez, Finckh, Manfred, Fotiadis, Georgios, Fracchiolla, Mariano, Ganeva, Anna, Garcfa-Magro, Daniel, Gavilan, Rosario G, Germany, Markus, Giladi, ltamar, Gillet, Francois, Galdo, Gian Pietro Giusso del, Gonzalez, Jose M, Grytnes, John-Arvid, Hajek, Michal, Hajkova, Petra, Helm, Aveliina, Herrera, Mercedes, Hettenbergerova, Eva, Hobohm, Carsten, Hullbusch, Elisabeth M, lngerpuu, Nele, Jandt, Ute, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Jeschke, Michael, Jimenez-Alfaro, Borja, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kavgaci, Ali, Kelemen, Andras, Kiehl, Kathrin, Koyama, Asuka, Koyanagi, Tamayo F, Kozub, Lukasz, Kuzemko, Anna, Kyrkjeeide, Magni Olsen, Landi, Sara, Langer, Nancy, Lastrucci, Lorenzo, Lazzaro, Lorenzo, Lelli, Chiara, Leps, Jan, Lobel, Swantje, Luzuriaga, Arantzazu L, Maccherini, Simona, Magnes, Martin, Malicki, Marek, Marceno, Corrado, Mardari, Constantin, Mauchamp, Leslie, May, Felix, Michelsen, Ottar, Mesa, Joaquin Melero, Molnar, Zsolt, Moysiyenko, Ivan Y, Nakaga, Yuko K, Natcheva, Rayna, Noroozi, Jalil, Pakeman, Robin J, Palpurina, Salza, Partel, Meelis, Patsch, Ricarda, Pauli, Harald, Pedashenko, Hristo, Peet, Robert K, Pielech, Remigiusz, Pipenbaher, Natasa, Pirini, Chrisoula, Pleskova, Zuzana, Polyakova, Mariya A, Prentice, Honor C, Reinecke, Jennifer, Reitalu, Triin, Rodriguez-Rojo, Maria Pilar, Rolecek, Jan, Rankin, Vladimir, Rosati, Leonardo, Rosen, Ejvind, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Sanchez, Ana Marfa, Savchenko, Galina, Schuhmacher, Oliver, Skornik, Sonja, Sperandii, Marta Gaia, Staniaszek-Kik, Monika, Stevanovic-Dajic, Zora, Stock, Marin, Suchrow, Sigrid, Sutcliffe, Laura M.E, Swacha, Grzegorz, Sykes, Martin, Szabo, Anna, Talebi, Amir, Tanase, Catalin, Terzi, Massimo, Tolgyesi, Csaba, Torca, Marta, Torok, Peter, Tothmeresz, Bela, Tsarevskaya, Nadezda, Tsiripidis, loannis, Tzonev, Rossen, Ushimaru, Atushi, Valko, Orsolya, Maarel, Eddy van der, Vanneste, Thomas, Vashenyak, luliia, Vassilev, Kiril, Viciani, Daniele, Villar, Luis, Virtanen, Risto, Kasie, Ivana Vitasovic, Wang, Yun, Weiser, Frank, Went, Julia, Wesche, Karsten, White, Hannah, Winkler, Manuela, Zaniewski, Piotr T, Zhang, Hui, Ziv, Varon, Znamenskiy, Sergey, and Biurrun, ldoia

Subjects
Geosciences (General), Documentation And Information Science
Abstract

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG)and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (releves) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m_) and on nested-plot series withat least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata.However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetation plot databases, such as the European Vegetation Archive (EVA) and the global database "sPlot". Its main aim is to facilitate studies on the scale- and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board.

Published
2018
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22. Convergent Morphological Evolution in Silene Sect. Italicae (Caryophyllaceae) in the Mediterranean Basin

Author

Naciri, Yamama, Toprak, Zeynep, Prentice, Honor C., Hugot, Laetitia, Troia, Angelo, Burgarella, Concetta, Lluis Gradaille, Josep, Jeanmonod, Daniel, Naciri, Yamama, Toprak, Zeynep, Prentice, Honor C., Hugot, Laetitia, Troia, Angelo, Burgarella, Concetta, Lluis Gradaille, Josep, and Jeanmonod, Daniel

Abstract

Recent divergence can obscure species boundaries among closely related taxa. Silene section Italicae (Caryophyllaceae) has been taxonomically controversial, with about 30 species described. We investigate species delimitation within this section using 500 specimens sequenced for one nuclear and two plastid markers. Despite the use of a small number of genes, the large number of sequenced samples allowed confident delimitation of 50% of the species. The delimitation of other species (e.g., Silene nemoralis, S. nodulosa and S. andryalifolia) was more challenging. We confirmed that seven of the ten chasmophyte species in the section are not related to each other but are, instead, genetically closer to geographically nearby species belonging to Italicae yet growing in open habitats. Adaptation to chasmophytic habitats therefore appears to have occurred independently, as a result of convergent evolution within the group. Species from the Western Mediterranean Basin showed more conflicting species boundaries than species from the Eastern Mediterranean Basin, where there are fewer but better-delimited species. Significant positive correlations were found between an estimation of the effective population size of the taxa and their extent of occurrence (EOO) or area of occupancy (AOO), and negative but non-significant correlations between the former and the posterior probability (PP) of the corresponding clades. These correlations might suggest a lower impact of incomplete lineage sorting in species with low effective population sizes and small distributional ranges compared with that in species inhabiting large areas. Finally, we confirmed that S. italica and S. nemoralis are distinct species, that S. nemoralis might furthermore include two different species and that S. velutina from Corsica and S. hicesiae from the Lipari Islands are sister species.

Published
2022
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23. De unga gör helt rätt när de stämmer staten

Author

Moberg, Christina, Corvellec, Hervé, Lindroth, Anders, Isacson, Manuela, Nilsson, Linn, Nicholas, Kimberly, Björck, Svante, Lee, Jayeon, Gerle, Elisabeth, Caretta, Martina Angela, Galafassi, Diego, Hornborg, Alf, Ullström, Sara, Olsson, Lennart, Jerneck, Anne, Koch, Max, Roldin, Pontus, Sunesson, Sune, Kritzberg, Emma, Hammarlund, Dan, Wamsler, Christine, Krause, Torsten, Tyler, Torbjörn, Malmqvist, Ebba, Osberg, Gustav, Reindl, Katharina, Lefstad, Lina, Björnerås, Caroline, De Rosa, Salvatore Paolo, Koglin, Till, Bjermo, Tim, Isaxon, Christina, Isgren, Ellinor, Richter, Jessika Luth, Johansson, Erik, Jarenmark, Martin, Friberg, Johan, Wårlind, David, Jack, Tullia, Holmberg, Karl, Bergman Rosamond, Annika, Vogl, Valentin, Olofsson, Johanna, Magalhaes Teixeira, Barbara, Palm, Ellen, Algers, Jonas, Gjerløv Fiig, Natasha Amalie, Ramasar, Vasna, Lopez de Lapuente Portilla, Aitzkoa, Khan, Jamil, Palm, Jenny, Haraldsson, Joakim, Barmark, Mimmi, Stroh, Emilie, Filipsson, Helena L., Sernhed, Kerstin, Wengelin, Mattias, Bauer, Fredric, Persson, Tomas, Brandstedt, Eric, Mccormick, Kes, Carton, Wim, Stattin, Simon, Gren, Nina, Nikoleris, Alexandra, Wickenberg, Per, Garson, Katja, Zackari, Karin, Droste, Nils, Gunnemyr, Mattias, Hansson, L-A, Lantz, Emelie, Sternudd, Catharina, Ekström, Hanna, Jonsson, Anna, Dahlner, Anders, Sörgärde, Nadja, Alcer, David, Rennstam, Jens, Gabrielsson, Sara, Ottosson, Mikael, Eklundh, Lars, Andersson, Magnus, Schwarz, Jesper, Tilsted, Joachim Peter, Kiss, Bernadett, Halldenius, Lena, Knaggård, Åsa, Persson, Andreas, Kolte, Olof, Lindh, Linnea, Chertkovskaya, Ekaterina, Hultman, Mats, Thånell, Karina, Manners, Ian, Kristensson, Adam, Nieradzik, Lars, Lundberg, Anna, Cronberg, Nils, Rydhe, Eskil, Klemmensen, Robert, Herlitz, Anders, Perrey, Hanno, Pugh, Rhiannon, Björkdahl, Annika, Lundberg, Tove, Mårsell, Erik, Samper, Juan Antonio, Sandström, Ida, Ståhl, Lars-Henrik, Prentice, Honor C, Carlson, Stefan, Andréasson, Per-Gunnar, Liljas, Anders, Zalar, Alva, Fridlund, Patrik, Sporre, Moa, Löndahl, Jakob, Björling, Fiona, Kalm, Sara, Barinaga, Ester, Mulinari, Shai, Mulinari, Diana, Lindqvist, Anna, Vestberg, Susanna, Claréus, Benjamin, Boije af Gennäs Erre, Ellen, Viborg, Gardar, Nilsson, Kjell, Tagesson, Alexander, Brogaard, Sara, Davidson, Per, Harrie, Lars, Elvén Eriksson, Helena, Hickmann, Thomas, Fauré, Eléonore, Wullenkord, Marlis, Giertz, Anders, Germundsson, Tomas, Nilsson, Frida L, Montesino, Norma, Sjöström, Cheryl, Pettersson, Gert, Alkan Olsson, Johanna, Cardeña, Etzel, Mottaghi, Misagh, Sundkvist, Emma, Tellhed, Una, Mundaca, Luis, Lindström, Lena, Sörensen, Johanna, Mobini, Shifteh, Hederström, Veronica, Becker, Per, Klysing, Amanda, Mattisson, Kristoffer, Svensson, Jakob, Svenbro, Maja, Hanson, Helena, Oudin, Anna, Flanagan, Erin, Takman, Maria, Ritthammer, Sofia, Månefjord, Josefin, Sonander, Anna, Nafstad, Ida, Sjöström, Peter, Dietler, Dominik, Hassel, Henrik, Käll, Jannice, Akselsson, Roland, Bohgard, Mats, Ingvarson, Johan, Steen, Karin, Cedergren, Alexander, Nordbeck, Patric, Davidsson, Simon, Angelöw, Amanda, Ahrné, Siv, Lantto, Reid, Psouni, Elia, Nicoson, Christie, Jeppsson, Bengt, Côte, Muriel, Alvesson, Mats, Leo Sandberg, Elinn, Möllergren, Glenn, Karlsson, Daniel, Bäckman, Johan, Angelopulos Baroutsis, Nicoletta, Alenius Wallin, Linn, Lundell, Elin, Stedt, Johanna, Forsberg, Klara, Gnewski, Martina, Larsson, Marie, Grillitsch, Markus, Takedomi Karlsson, Mariko, Månefjord, Hampus, Giese, Laura, Betsholtz, Alexander, Wrisberg, Anton, Söderlind, Marie, Vilhelmsson, Andreas, Stedt, Kristoffer, al., et, Moberg, Christina, Corvellec, Hervé, Lindroth, Anders, Isacson, Manuela, Nilsson, Linn, Nicholas, Kimberly, Björck, Svante, Lee, Jayeon, Gerle, Elisabeth, Caretta, Martina Angela, Galafassi, Diego, Hornborg, Alf, Ullström, Sara, Olsson, Lennart, Jerneck, Anne, Koch, Max, Roldin, Pontus, Sunesson, Sune, Kritzberg, Emma, Hammarlund, Dan, Wamsler, Christine, Krause, Torsten, Tyler, Torbjörn, Malmqvist, Ebba, Osberg, Gustav, Reindl, Katharina, Lefstad, Lina, Björnerås, Caroline, De Rosa, Salvatore Paolo, Koglin, Till, Bjermo, Tim, Isaxon, Christina, Isgren, Ellinor, Richter, Jessika Luth, Johansson, Erik, Jarenmark, Martin, Friberg, Johan, Wårlind, David, Jack, Tullia, Holmberg, Karl, Bergman Rosamond, Annika, Vogl, Valentin, Olofsson, Johanna, Magalhaes Teixeira, Barbara, Palm, Ellen, Algers, Jonas, Gjerløv Fiig, Natasha Amalie, Ramasar, Vasna, Lopez de Lapuente Portilla, Aitzkoa, Khan, Jamil, Palm, Jenny, Haraldsson, Joakim, Barmark, Mimmi, Stroh, Emilie, Filipsson, Helena L., Sernhed, Kerstin, Wengelin, Mattias, Bauer, Fredric, Persson, Tomas, Brandstedt, Eric, Mccormick, Kes, Carton, Wim, Stattin, Simon, Gren, Nina, Nikoleris, Alexandra, Wickenberg, Per, Garson, Katja, Zackari, Karin, Droste, Nils, Gunnemyr, Mattias, Hansson, L-A, Lantz, Emelie, Sternudd, Catharina, Ekström, Hanna, Jonsson, Anna, Dahlner, Anders, Sörgärde, Nadja, Alcer, David, Rennstam, Jens, Gabrielsson, Sara, Ottosson, Mikael, Eklundh, Lars, Andersson, Magnus, Schwarz, Jesper, Tilsted, Joachim Peter, Kiss, Bernadett, Halldenius, Lena, Knaggård, Åsa, Persson, Andreas, Kolte, Olof, Lindh, Linnea, Chertkovskaya, Ekaterina, Hultman, Mats, Thånell, Karina, Manners, Ian, Kristensson, Adam, Nieradzik, Lars, Lundberg, Anna, Cronberg, Nils, Rydhe, Eskil, Klemmensen, Robert, Herlitz, Anders, Perrey, Hanno, Pugh, Rhiannon, Björkdahl, Annika, Lundberg, Tove, Mårsell, Erik, Samper, Juan Antonio, Sandström, Ida, Ståhl, Lars-Henrik, Prentice, Honor C, Carlson, Stefan, Andréasson, Per-Gunnar, Liljas, Anders, Zalar, Alva, Fridlund, Patrik, Sporre, Moa, Löndahl, Jakob, Björling, Fiona, Kalm, Sara, Barinaga, Ester, Mulinari, Shai, Mulinari, Diana, Lindqvist, Anna, Vestberg, Susanna, Claréus, Benjamin, Boije af Gennäs Erre, Ellen, Viborg, Gardar, Nilsson, Kjell, Tagesson, Alexander, Brogaard, Sara, Davidson, Per, Harrie, Lars, Elvén Eriksson, Helena, Hickmann, Thomas, Fauré, Eléonore, Wullenkord, Marlis, Giertz, Anders, Germundsson, Tomas, Nilsson, Frida L, Montesino, Norma, Sjöström, Cheryl, Pettersson, Gert, Alkan Olsson, Johanna, Cardeña, Etzel, Mottaghi, Misagh, Sundkvist, Emma, Tellhed, Una, Mundaca, Luis, Lindström, Lena, Sörensen, Johanna, Mobini, Shifteh, Hederström, Veronica, Becker, Per, Klysing, Amanda, Mattisson, Kristoffer, Svensson, Jakob, Svenbro, Maja, Hanson, Helena, Oudin, Anna, Flanagan, Erin, Takman, Maria, Ritthammer, Sofia, Månefjord, Josefin, Sonander, Anna, Nafstad, Ida, Sjöström, Peter, Dietler, Dominik, Hassel, Henrik, Käll, Jannice, Akselsson, Roland, Bohgard, Mats, Ingvarson, Johan, Steen, Karin, Cedergren, Alexander, Nordbeck, Patric, Davidsson, Simon, Angelöw, Amanda, Ahrné, Siv, Lantto, Reid, Psouni, Elia, Nicoson, Christie, Jeppsson, Bengt, Côte, Muriel, Alvesson, Mats, Leo Sandberg, Elinn, Möllergren, Glenn, Karlsson, Daniel, Bäckman, Johan, Angelopulos Baroutsis, Nicoletta, Alenius Wallin, Linn, Lundell, Elin, Stedt, Johanna, Forsberg, Klara, Gnewski, Martina, Larsson, Marie, Grillitsch, Markus, Takedomi Karlsson, Mariko, Månefjord, Hampus, Giese, Laura, Betsholtz, Alexander, Wrisberg, Anton, Söderlind, Marie, Vilhelmsson, Andreas, Stedt, Kristoffer, and al., et

Abstract

1 620 forskare och lärare i forskarvärlden: Vi ställer oss bakom Auroras klimatkrav

Published
2022

35. Genetic variation in the moss Homalothecium lutescens in relation to habitat age and structure

Author

Rosengren, Frida, Cronberg, Nils, Reitalu, Triin, and Prentice, Honor C.

Subjects
Isoenzymes -- Properties -- Research -- Environmental aspects -- Genetic aspects, Botany -- Environmental aspects, Genetic variation -- Research -- Genetic aspects -- Environmental aspects, Moss -- Genetic aspects -- Environmental aspects -- Research, Grasslands -- Environmental aspects -- Research, Biological sciences
Abstract

Relationships between genetic (allozyme) variation and landscape age and structure were investigated in 17 calcareous grassland demes of the moss Homalothecium lutescens (Hedw.) H. Rob. on the Baltic island of Oland. Mean within-deme gene diversity ([H.sub.S] = 0.152) was moderate compared with other bryophyte studies, and the between-deme proportion of the total diversity ([G.sub.ST] = 0.100, Jost's D = 0.011) was low but significantly different from zero. Clonal mixing, measured as the proportion of two adjacent shoots having different haplotypes, was relatively high (mean 0.32 over all demes). [H.sub.S] was higher in old grassland fragments, but negatively related to vascular plant species richness. Allelic richness (A) was positively associated with the area of old (≥ 280 years) grassland in the surroundings: although demes in old grasslands are genetically more variable than those in younger grasslands, proximity to large areas of old grassland may promote genetic variability even in younger grassland demes. The importance of management continuity for species diversity has been stressed in many earlier grassland studies. Here, we conclude that grassland fragments with a long history of grazing continuity are also positively associated with variability at within-species level, as exemplified by the bryophyte H. lutescens. Key words: allozymes, bryophytes, calcareous grassland, genetic variation, landscape history. Dans dix-sept prairies calcaires de Ule d'Oland sur la Baltique, l'auteure a etudie les relations entre la variation genetique (allozyme) et l'age, avec la structure des demes de la mousse Homalothecium lutescens (Hedw.) H. Rob. La variation genetique moyenne pour un deme donne ([H.sub.S] = 0,152) est moderee comparativement a d'autres etudes de bryophytes et la proportion de la variation totale entre demes ([G.sub.ST] = 0,100, Jost's D = 0,011) est faible, mais significativement differente de zero. Le melange clonal mesure comme la proportion de deux tiges adjacentes ayant des haplotypes differents, est relativement elevee (moyenne de 0,32 pour l'ensemble des demes). La diversite genetique pour [H.sub.S] s'avere plus elevee dans les fragments de vieilles prairies, mais negativement reliee a la richesse en especes de plantes vasculaires. La richesse allelique (A) montre une association positive reliee avec l'aire de la vieille prairie ([greater than or equal to] 280 ans) environnante: bien que les demes de la vieille prairie soient genetiquement plus variables que celles des prairies plus jeunes, la proximite de grandes surfaces de vieilles prairies peut promouvoir la variabilite genetique, meme dans les demes des prairies plus jeunes. On a deja souligne l'importance de la continuite de l'amenagement pour la diversite des especes dans des etudes antecedentes sur les prairies. L'auteure conclut que les fragments de prairies ayant connu une longue continuite de paturage sont egalement associes avec de la variabilite a l'echelle intra specifique, comme le montre la bryophyte H. lutescens. [Traduit par la Redaction] Mots-cles: allozymes, bryophytes, prairie calcaire, variation genetique, histoire du paysage., Introduction The potential for species or populations to adapt to a changing environment is expected to be influenced by the levels of genetic variation that are available for natural selection [...]

Published
2013
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36. Benchmarking plant diversity of Palaearctic grasslands and other open habitats

Author

Biurrun, Idoia, primary, Pielech, Remigiusz, additional, Dembicz, Iwona, additional, Gillet, François, additional, Kozub, Łukasz, additional, Marcenò, Corrado, additional, Reitalu, Triin, additional, Van Meerbeek, Koenraad, additional, Guarino, Riccardo, additional, Chytrý, Milan, additional, Pakeman, Robin J., additional, Preislerová, Zdenka, additional, Axmanová, Irena, additional, Burrascano, Sabina, additional, Bartha, Sándor, additional, Boch, Steffen, additional, Bruun, Hans Henrik, additional, Conradi, Timo, additional, De Frenne, Pieter, additional, Essl, Franz, additional, Filibeck, Goffredo, additional, Hájek, Michal, additional, Jiménez‐Alfaro, Borja, additional, Kuzemko, Anna, additional, Molnár, Zsolt, additional, Pärtel, Meelis, additional, Pätsch, Ricarda, additional, Prentice, Honor C., additional, Roleček, Jan, additional, Sutcliffe, Laura M. E., additional, Terzi, Massimo, additional, Winkler, Manuela, additional, Wu, Jianshuang, additional, Aćić, Svetlana, additional, Acosta, Alicia T. R., additional, Afif, Elias, additional, Akasaka, Munemitsu, additional, Alatalo, Juha M., additional, Aleffi, Michele, additional, Aleksanyan, Alla, additional, Ali, Arshad, additional, Apostolova, Iva, additional, Ashouri, Parvaneh, additional, Bátori, Zoltán, additional, Baumann, Esther, additional, Becker, Thomas, additional, Belonovskaya, Elena, additional, Benito Alonso, José Luis, additional, Berastegi, Asun, additional, Bergamini, Ariel, additional, Bhatta, Kuber Prasad, additional, Bonini, Ilaria, additional, Büchler, Marc‐Olivier, additional, Budzhak, Vasyl, additional, Bueno, Álvaro, additional, Buldrini, Fabrizio, additional, Campos, Juan Antonio, additional, Cancellieri, Laura, additional, Carboni, Marta, additional, Ceulemans, Tobias, additional, Chiarucci, Alessandro, additional, Chocarro, Cristina, additional, Conti, Luisa, additional, Csergő, Anna Mária, additional, Cykowska‐Marzencka, Beata, additional, Czarniecka‐Wiera, Marta, additional, Czarnocka‐Cieciura, Marta, additional, Czortek, Patryk, additional, Danihelka, Jiří, additional, Bello, Francesco, additional, Deák, Balázs, additional, Demeter, László, additional, Deng, Lei, additional, Diekmann, Martin, additional, Dolezal, Jiri, additional, Dolnik, Christian, additional, Dřevojan, Pavel, additional, Dupré, Cecilia, additional, Ecker, Klaus, additional, Ejtehadi, Hamid, additional, Erschbamer, Brigitta, additional, Etayo, Javier, additional, Etzold, Jonathan, additional, Farkas, Tünde, additional, Farzam, Mohammad, additional, Fayvush, George, additional, Fernández Calzado, María Rosa, additional, Finckh, Manfred, additional, Fjellstad, Wendy, additional, Fotiadis, Georgios, additional, García‐Magro, Daniel, additional, García‐Mijangos, Itziar, additional, Gavilán, Rosario G., additional, Germany, Markus, additional, Ghafari, Sahar, additional, Giusso del Galdo, Gian Pietro, additional, Grytnes, John‐Arvid, additional, Güler, Behlül, additional, Gutiérrez‐Girón, Alba, additional, Helm, Aveliina, additional, Herrera, Mercedes, additional, Hüllbusch, Elisabeth M., additional, Ingerpuu, Nele, additional, Jägerbrand, Annika K., additional, Jandt, Ute, additional, Janišová, Monika, additional, Jeanneret, Philippe, additional, Jeltsch, Florian, additional, Jensen, Kai, additional, Jentsch, Anke, additional, Kącki, Zygmunt, additional, Kakinuma, Kaoru, additional, Kapfer, Jutta, additional, Kargar, Mansoureh, additional, Kelemen, András, additional, Kiehl, Kathrin, additional, Kirschner, Philipp, additional, Koyama, Asuka, additional, Langer, Nancy, additional, Lazzaro, Lorenzo, additional, Lepš, Jan, additional, Li, Ching‐Feng, additional, Li, Frank Yonghong, additional, Liendo, Diego, additional, Lindborg, Regina, additional, Löbel, Swantje, additional, Lomba, Angela, additional, Lososová, Zdeňka, additional, Lustyk, Pavel, additional, Luzuriaga, Arantzazu L., additional, Ma, Wenhong, additional, Maccherini, Simona, additional, Magnes, Martin, additional, Malicki, Marek, additional, Manthey, Michael, additional, Mardari, Constantin, additional, May, Felix, additional, Mayrhofer, Helmut, additional, Meier, Eliane Seraina, additional, Memariani, Farshid, additional, Merunková, Kristina, additional, Michelsen, Ottar, additional, Molero Mesa, Joaquín, additional, Moradi, Halime, additional, Moysiyenko, Ivan, additional, Mugnai, Michele, additional, Naqinezhad, Alireza, additional, Natcheva, Rayna, additional, Ninot, Josep M., additional, Nobis, Marcin, additional, Noroozi, Jalil, additional, Nowak, Arkadiusz, additional, Onipchenko, Vladimir, additional, Palpurina, Salza, additional, Pauli, Harald, additional, Pedashenko, Hristo, additional, Pedersen, Christian, additional, Peet, Robert K., additional, Pérez‐Haase, Aaron, additional, Peters, Jan, additional, Pipenbaher, Nataša, additional, Pirini, Chrisoula, additional, Pladevall‐Izard, Eulàlia, additional, Plesková, Zuzana, additional, Potenza, Giovanna, additional, Rahmanian, Soroor, additional, Rodríguez‐Rojo, Maria Pilar, additional, Ronkin, Vladimir, additional, Rosati, Leonardo, additional, Ruprecht, Eszter, additional, Rusina, Solvita, additional, Sabovljević, Marko, additional, Sanaei, Anvar, additional, Sánchez, Ana M., additional, Santi, Francesco, additional, Savchenko, Galina, additional, Sebastià, Maria Teresa, additional, Shyriaieva, Dariia, additional, Silva, Vasco, additional, Škornik, Sonja, additional, Šmerdová, Eva, additional, Sonkoly, Judit, additional, Sperandii, Marta Gaia, additional, Staniaszek‐Kik, Monika, additional, Stevens, Carly, additional, Stifter, Simon, additional, Suchrow, Sigrid, additional, Swacha, Grzegorz, additional, Świerszcz, Sebastian, additional, Talebi, Amir, additional, Teleki, Balázs, additional, Tichý, Lubomír, additional, Tölgyesi, Csaba, additional, Torca, Marta, additional, Török, Péter, additional, Tsarevskaya, Nadezda, additional, Tsiripidis, Ioannis, additional, Turisová, Ingrid, additional, Ushimaru, Atushi, additional, Valkó, Orsolya, additional, Van Mechelen, Carmen, additional, Vanneste, Thomas, additional, Vasheniak, Iuliia, additional, Vassilev, Kiril, additional, Viciani, Daniele, additional, Villar, Luis, additional, Virtanen, Risto, additional, Vitasović‐Kosić, Ivana, additional, Vojtkó, András, additional, Vynokurov, Denys, additional, Waldén, Emelie, additional, Wang, Yun, additional, Weiser, Frank, additional, Wen, Lu, additional, Wesche, Karsten, additional, White, Hannah, additional, Widmer, Stefan, additional, Wolfrum, Sebastian, additional, Wróbel, Anna, additional, Yuan, Zuoqiang, additional, Zelený, David, additional, Zhao, Liqing, additional, and Dengler, Jürgen, additional

Published
2021
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37. Benchmarking plant diversity of Palaearctic grasslands and other open habitats

Author

Biurrun, Idoia, Biurrun, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, François, Kozub, Lukasz, 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, Meelis, Pätsch, Ricarda, Prentice, Honor C., Roleček, Jan, Sutcliffe, Laura M. E., Terzi, Massimo, Winkler, Manuela, Wu, Jianshuang, Aćić, Svetlana, Acosta, Alicia T. R., Afif, Elias, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Aleksanyan, Alla, Ali, Arshad, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thomas, Belonovskaya, Elena, Benito Alonso, José Luis, Berastegi, Asun, Bergamini, Ariel, Prasad Bhatta, Kuber, Bonini, Ilaria, Büchler, Marc-Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ceulemans, Tobias, Chiarucci, Alessandro, Chocarro, Cristina, Conti, Luisa, Csergo, Anna Maria, Cykowska-Marzencka, Beata, Czarniecka-Wiera, Marta, Czarnocka-Cieciura, Marta, Czortek, Patryk, Danihelka, Jiri, de Bello, Francesco, Deák, Balázs, Demeter, László, Deng, Lei, Diekmann, Martin, Dolezal, Jiri, Dolnik, Christian, Drevojan, Pavel, Dupré, Cecilia, Ecker, Klaus, Ejtehadi, Hamid, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Fayvush, George, Fernández Calzado, Maria Rosa, Finckh, Manfred, Fjellstad, Wendy, Fotiadis, Georgios, Garcia-Margo, Daniel, Garcia-Mijangos, Itziar, Gavilán, Rosario G., Germany, Markus, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John- Arvid, Güler, Behlül, Gutiérrez- Girón, Alba, Helm, Aveliina, Herrera, Mercedes, Hüllbusch, Elisabeth M., Ingerpuu, Nele, Jagerbrand, Annika K., Jandt, Ute, Janišová, Monika, Jeanneret, Philippe, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kargar, Mansoureh, Kelemen, Andras, 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, Lososova, Zdenka, Lustyk, Pavel, Luzuriaga, Arantzazu L., Ma, Wenhong, Maccherini, Simona, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Mayrhofer, Helmut, Seraina Meier, Eliane, Memariani, Farshid, Merunkova, Kristina, Michelsen, Ottar, Molero Mesa, Joaquin, 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, Rodriguez-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, Swierszcz, Sebastian, Talebi, Amir, Teleki, Balázs, Tichy, Lubomir, Tölgyesi, Csaba, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Turisová, Ingrid, Ushimaru, Atushi, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thomas, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Luis, Virtanen, Risto, Vitasović-Kosić, Ivana, Vojtkó, András, Vynokurov, Denys, 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, Biurrun, Idoia, Biurrun, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, François, Kozub, Lukasz, 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, Meelis, Pätsch, Ricarda, Prentice, Honor C., Roleček, Jan, Sutcliffe, Laura M. E., Terzi, Massimo, Winkler, Manuela, Wu, Jianshuang, Aćić, Svetlana, Acosta, Alicia T. R., Afif, Elias, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Aleksanyan, Alla, Ali, Arshad, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thomas, Belonovskaya, Elena, Benito Alonso, José Luis, Berastegi, Asun, Bergamini, Ariel, Prasad Bhatta, Kuber, Bonini, Ilaria, Büchler, Marc-Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Ceulemans, Tobias, Chiarucci, Alessandro, Chocarro, Cristina, Conti, Luisa, Csergo, Anna Maria, Cykowska-Marzencka, Beata, Czarniecka-Wiera, Marta, Czarnocka-Cieciura, Marta, Czortek, Patryk, Danihelka, Jiri, de Bello, Francesco, Deák, Balázs, Demeter, László, Deng, Lei, Diekmann, Martin, Dolezal, Jiri, Dolnik, Christian, Drevojan, Pavel, Dupré, Cecilia, Ecker, Klaus, Ejtehadi, Hamid, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Fayvush, George, Fernández Calzado, Maria Rosa, Finckh, Manfred, Fjellstad, Wendy, Fotiadis, Georgios, Garcia-Margo, Daniel, Garcia-Mijangos, Itziar, Gavilán, Rosario G., Germany, Markus, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John- Arvid, Güler, Behlül, Gutiérrez- Girón, Alba, Helm, Aveliina, Herrera, Mercedes, Hüllbusch, Elisabeth M., Ingerpuu, Nele, Jagerbrand, Annika K., Jandt, Ute, Janišová, Monika, Jeanneret, Philippe, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kargar, Mansoureh, Kelemen, Andras, 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, Lososova, Zdenka, Lustyk, Pavel, Luzuriaga, Arantzazu L., Ma, Wenhong, Maccherini, Simona, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Mayrhofer, Helmut, Seraina Meier, Eliane, Memariani, Farshid, Merunkova, Kristina, Michelsen, Ottar, Molero Mesa, Joaquin, 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, Rodriguez-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, Swierszcz, Sebastian, Talebi, Amir, Teleki, Balázs, Tichy, Lubomir, Tölgyesi, Csaba, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Turisová, Ingrid, Ushimaru, Atushi, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thomas, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Luis, Virtanen, Risto, Vitasović-Kosić, Ivana, Vojtkó, András, Vynokurov, Denys, Waldén, Emelie, Wang, Yun, Weiser, Frank, Wen, Lu, Wesche, Karsten, White, Hannah, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Zelený, David, Zhao, Liqing, and Dengler, Jürgen

Abstract

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

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

Author

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, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, François, Kozub, Łukasz, Marcenò, Corrado, Reitalu, Triin, Meerbeek, Koenraad Van, Guarino, Riccardo, Chytrý, Milan, Pakeman, Robin J., Kargar, Mansoureh, Kelemen, András, Kiehl, Kathrin, Kirschner, Philipp, Koyama, Asuka, Swacha, Grzegorz, Langer, Nancy, Lazzaro, Lorenzo, Lepš, J., Pauli, Harald, Molnár, Zsolt, Axmanová, Irena, Li, Ching-Feng, Yonghong Li, Frank, Liendo, Diego, Löbel, Swantje, Lomba, Angela, Lososová, Zdeňka, Świerszcz, Sebastian, Lustyk, Pavel, Luzuriaga, Arantzazu L., Pärtel, Meelis, Tichý, Lubomír, Ma, Wenhong, Maccherini, Simona, Burrascano, Sabina, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Talebi, Amir, Pätsch, Ricarda, Mayrhofer, Helmut, Chiarucci, A., Seraina Meier, Eliane, Memariani, Farshid, Merunková, Kristina, Michelsen, Ottar, Bartha, Sándor, Molero Mesa, Joaquín, Moradi, Halime, Moysiyenko, Ivan, Prentice, Honor C., Mugnai, Michele, Teleki, Balázs, Pedashenko, Hristo, Naqinezhad, Alireza, Pedersen, Christian, Peet, Robert K., Pérez-Haase, A., Peters, Jan, Pipenbaher, Nataša, Pirini, Chrisoula, Roleček, Jan, Bruun, Hans Henrik, Pladevall-Izard, Eulàlia, Plesková, Zuzana, Chocarro, Cristina, Essl, Franz, Potenza, Giovanna, Rahmanian, Soroor, Rodríguez-Rojo, María Pilar, Ronkin, Vladimir, Rosati, Leonardo, Janišová, Monika, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Conradi, Timo, Conti, Luisa, Sanaei, Anvar, Hüllbusch, Elisabeth M., Sánchez, Ana M., Santi, Francesco, Savchenko, Galina, Sutcliffe, Laura M. E., Sebastià, María Teresa, Shyriaieva, Dariia, Silva, Vasco, Škornik, Sonja, Šmerdová, Eva, Csergő, Anna Mária, Sonkoly, Judit, De Frenne, Pieter, Tölgyesi, Csaba, Gaia Sperandii, Marta, Terzi, Massimo, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Turisová, Ingrid, Ushimaru, Atushi, Cykowska-Marzencka, Beata, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thomas, Winkler, Manuela, Ingerpuu, Nele, Filibeck, Goffredo, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar Pérez, Luis, Virtanen, Risto, Czarniecka-Wiera, Marta, Vitasović-Kosić, Ivana, Vojtkó, András, de Bello, Francesco, Vynokurov, Denys, Waldén, Emelie, Jägerbrand, Annika K., Wang, Yun, Hájek, Michal, Weiser, Frank, Wen, Lu, Wesche, Karsten, Czortek, Patryk, White, Hannah, Natcheva, Rayna, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Jand, Ute, Zelený, David, Zhao, Liqing, Jiménez Alfaro, Borja, Dengler, Jürgen, Danihelka, Jiří, Wu, Jianshuang, Kuzemko, Anna, Aćić, Svetlana, Acosta, Rosario, Afif, Elias, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Jeanneret, Philippe, Aleksanyan, Alla, Ali, Arshad, Ninot, Josep M., Jentsch, Anke, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thomas, Belonovskaya, Elena, Benito Alonso, José Luis, Berastegi, Asun, Jeltsch, Florian, Nobis, Marcin, Bergamini, Ariel, Staniaszek-Kik, Monika, Prasad, Kuber, Bonini, Ilaria, Büchler, Marc-Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Noroozi, Jalil, Carboni, Marta, Jensen, Kai, Deák. Balázs, Ceulemans, Tobías, Demeter, László, Deng, Lei, Diekmann, Martin, Doležal, Jiří, Dolnik, Christian, Dřevojan, Pavel, Nowak, Arkadiusz, Dupré, Cecilia, Ecker, Klaus, Ejtehadi, Hamid, Stevens, Carly, Kącki, Zygmunt, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Boch, Steffen, Fayvush, George, Fernández Calzado, María Rosa, Finckh, Manfred, Fjellstad, Wendy, Stifter, Simon, Fotiadis, Georgios, Preislerová, Zdenka, García-Magro, Daniel, García-Mijangos, Itziar, Gavilán, Rosario G., Onipchenko, Vladimir G., Germany, Markus, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John-Arvid, Güler, Behlül, Suchrow, Sigrid, Gutiérrez-Girón, Alba, Helm, Aveliina, Kakinuma, Kaoru, Herrera, Mercedes, Palpurina, Salza, Kapfer, Jutta, 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, Idoia, Pielech, Remigiusz, Dembicz, Iwona, Gillet, François, Kozub, Łukasz, Marcenò, Corrado, Reitalu, Triin, Meerbeek, Koenraad Van, Guarino, Riccardo, Chytrý, Milan, Pakeman, Robin J., Kargar, Mansoureh, Kelemen, András, Kiehl, Kathrin, Kirschner, Philipp, Koyama, Asuka, Swacha, Grzegorz, Langer, Nancy, Lazzaro, Lorenzo, Lepš, J., Pauli, Harald, Molnár, Zsolt, Axmanová, Irena, Li, Ching-Feng, Yonghong Li, Frank, Liendo, Diego, Löbel, Swantje, Lomba, Angela, Lososová, Zdeňka, Świerszcz, Sebastian, Lustyk, Pavel, Luzuriaga, Arantzazu L., Pärtel, Meelis, Tichý, Lubomír, Ma, Wenhong, Maccherini, Simona, Burrascano, Sabina, Magnes, Martin, Malicki, Marek, Manthey, Michael, Mardari, Constantin, May, Felix, Talebi, Amir, Pätsch, Ricarda, Mayrhofer, Helmut, Chiarucci, A., Seraina Meier, Eliane, Memariani, Farshid, Merunková, Kristina, Michelsen, Ottar, Bartha, Sándor, Molero Mesa, Joaquín, Moradi, Halime, Moysiyenko, Ivan, Prentice, Honor C., Mugnai, Michele, Teleki, Balázs, Pedashenko, Hristo, Naqinezhad, Alireza, Pedersen, Christian, Peet, Robert K., Pérez-Haase, A., Peters, Jan, Pipenbaher, Nataša, Pirini, Chrisoula, Roleček, Jan, Bruun, Hans Henrik, Pladevall-Izard, Eulàlia, Plesková, Zuzana, Chocarro, Cristina, Essl, Franz, Potenza, Giovanna, Rahmanian, Soroor, Rodríguez-Rojo, María Pilar, Ronkin, Vladimir, Rosati, Leonardo, Janišová, Monika, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Conradi, Timo, Conti, Luisa, Sanaei, Anvar, Hüllbusch, Elisabeth M., Sánchez, Ana M., Santi, Francesco, Savchenko, Galina, Sutcliffe, Laura M. E., Sebastià, María Teresa, Shyriaieva, Dariia, Silva, Vasco, Škornik, Sonja, Šmerdová, Eva, Csergő, Anna Mária, Sonkoly, Judit, De Frenne, Pieter, Tölgyesi, Csaba, Gaia Sperandii, Marta, Terzi, Massimo, Torca, Marta, Török, Péter, Tsarevskaya, Nadezda, Tsiripidis, Ioannis, Turisová, Ingrid, Ushimaru, Atushi, Cykowska-Marzencka, Beata, Valkó, Orsolya, Van Mechelen, Carmen, Vanneste, Thomas, Winkler, Manuela, Ingerpuu, Nele, Filibeck, Goffredo, Vasheniak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar Pérez, Luis, Virtanen, Risto, Czarniecka-Wiera, Marta, Vitasović-Kosić, Ivana, Vojtkó, András, de Bello, Francesco, Vynokurov, Denys, Waldén, Emelie, Jägerbrand, Annika K., Wang, Yun, Hájek, Michal, Weiser, Frank, Wen, Lu, Wesche, Karsten, Czortek, Patryk, White, Hannah, Natcheva, Rayna, Widmer, Stefan, Wolfrum, Sebastian, Wróbel, Anna, Yuan, Zuoqiang, Jand, Ute, Zelený, David, Zhao, Liqing, Jiménez Alfaro, Borja, Dengler, Jürgen, Danihelka, Jiří, Wu, Jianshuang, Kuzemko, Anna, Aćić, Svetlana, Acosta, Rosario, Afif, Elias, Akasaka, Munemitsu, Alatalo, Juha M., Aleffi, Michele, Jeanneret, Philippe, Aleksanyan, Alla, Ali, Arshad, Ninot, Josep M., Jentsch, Anke, Apostolova, Iva, Ashouri, Parvaneh, Bátori, Zoltán, Baumann, Esther, Becker, Thomas, Belonovskaya, Elena, Benito Alonso, José Luis, Berastegi, Asun, Jeltsch, Florian, Nobis, Marcin, Bergamini, Ariel, Staniaszek-Kik, Monika, Prasad, Kuber, Bonini, Ilaria, Büchler, Marc-Olivier, Budzhak, Vasyl, Bueno, Álvaro, Buldrini, Fabrizio, Campos, Juan Antonio, Cancellieri, Laura, Noroozi, Jalil, Carboni, Marta, Jensen, Kai, Deák. Balázs, Ceulemans, Tobías, Demeter, László, Deng, Lei, Diekmann, Martin, Doležal, Jiří, Dolnik, Christian, Dřevojan, Pavel, Nowak, Arkadiusz, Dupré, Cecilia, Ecker, Klaus, Ejtehadi, Hamid, Stevens, Carly, Kącki, Zygmunt, Erschbamer, Brigitta, Etayo, Javier, Etzold, Jonathan, Farkas, Tünde, Farzam, Mohammad, Boch, Steffen, Fayvush, George, Fernández Calzado, María Rosa, Finckh, Manfred, Fjellstad, Wendy, Stifter, Simon, Fotiadis, Georgios, Preislerová, Zdenka, García-Magro, Daniel, García-Mijangos, Itziar, Gavilán, Rosario G., Onipchenko, Vladimir G., Germany, Markus, Ghafari, Sahar, Giusso del Galdo, Gian Pietro, Grytnes, John-Arvid, Güler, Behlül, Suchrow, Sigrid, Gutiérrez-Girón, Alba, Helm, Aveliina, Kakinuma, Kaoru, Herrera, Mercedes, Palpurina, Salza, and Kapfer, Jutta

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 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.

Published
2021

41. Experimental crosses within European Silene latifolia (caryophyllaceae): intraspecific differentiation, distance effects, and sex ratio

Author

Hathaway, Louise, Andersson, Stefan, and Prentice, Honor C.

Subjects
Company distribution practices, Morphological variation -- Research -- Genetic aspects -- Environmental aspects
Abstract

The dioecious weed Silene latifolia Poiret is thought to have spread northwards through Europe from separate southern source populations and shows a pronounced east-west pattern of differentiation in seed morphology. We used crossing experiments to investigate whether patterns of interfertility in S. latifolia are consistent with a scenario of ongoing speciation (reflected by outbreeding depression in crosses between the seed races), a scenario involving local inbreeding (reflected by heterosis in interpopulations crosses), or a combination of both scenarios. The experiments involved three western and three eastern populations, which were crossed reciprocally in all possible inter- and intra-population combinations. Inter-race cross-progenies did not have lower fitness than those from intraracial crosses, and the results are not consistent with a scenario of incipient speciation. A pattern of overall heterosis was found in three variables, indicating the expression of inbreeding depression in progeny from intrapopulation crosses. For two fitness variables, negative relationships between interpopulation distance and heterosis, together with signs of outbreeding depression in the longest-distance crosses, suggest that there may be significant levels of genetic differentiation between geographically distant populations. The sex ratio was female-biased in most progenies, especially in those from the longest-distance crosses. Key words: experimental hybridization, heterosis, inbreeding depression, incipient speciation, outbreeding depression, sex ratio. On croft que la plante adventice dioique Silene latifolia Poiret s'est etendue vers le nord de l'Europe a partir de populations sources meridionales distactes et on observe un patron marque est-ouest dans la differenciation de sa morphologie seminale. Les auteurs ont conduit des experiences de croisement pour determiner si les patrons d'interfertilite du S. latifolia concordent avec un scenario de speciation continue (traduit par une depression dans les croisements entre les races de graines), un scenario impliquant un autocroisement local (indique par l'heterosis dans les croisements entre populations) ou une combinaison des deux scenarios. Les experiences impliquent trois populations occidentales et trois populations orientales qu'on a croisees reciproquement selon toutes les combinaisons entre et dans les populations. Les progenitures provenant de croisements entre races ne montrent pas moms d' adaptation que les croisements dans la race, et les resultats ne concordent pas avec un scenario de speciation naissante. On observe un patron d'heterosis general pour trois variables, ce qui indique l'expression dune depression d'autocroisement dans la progeniture provenant de croisements dans la population. Pour deux des trois variables d' adaptation, on observe des relations negatives selon les distances entre populations et l'heterosis, lesquelles, prises ensemble avec les signes de depression par croisements externes sur de longues distances, suggerent qu'il puisse y avoir des degres significatifs de differenciation genetique entre les populations geographiquement eloignees. Les rapports sexuels montrent un bicis en faveur des femelles chez la plupart des progenitures, surtout chez cenes provenant de croisements sur les distances les plus longues. Mots-cles : hybridation experimentale, heterosis, depression d'autocroisement, speciation naissante, depression decoulant du croisement, proportions des sexes. [Traduit par la Redaction], Introduction Conspecific populations that are separated from each other, for example by geographic distance or physical barriers, may diverge genetically and phenotypically as a result of local selection and (or) [...]

Published
2009

43. A global database for metacommunity ecology, integrating species, traits, environment and space

Author

German Centre for Integrative Biodiversity Research, German Research Foundation, Fédération Île de France de Recherche en Environnement, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Swiss National Science Foundation, Jeliazkov, Alienor, Mijatovic, Darko, Chantepie, Stéphane, Andrew, Nigel, Arlettaz, Raphaël, Barbaro, Luc, Barsoum, Nadia, Bartonova, Alena, Belskaya, Elena, Bonada, Núria, Brind’Amour, Anik, Carvalho, Rodrigo, Castro, Helena, Chmura, Damian, Choler, Philippe, Chong-Seng, Karen, Cleary, Daniel, Cormont, Anouk, Cornwell, William, Campos, Ramiro de, de Voogd, Nicole, Dolédec, Sylvain, Drew, Joshua, Dziock, Frank, Eallonardo, Anthony, Edgar, Melanie J., Farneda, Fábio, Flores Hernández, Domingo, Frenette-Dussault, Cédric, Fried, Guillaume, Gallardo, Belinda, Gibb, Heloise, Gonçalves Souza, Thiago, Higuti, Janet, Humbert, Jean-Yves, Krasnov, Boris R., Le Saux, Eric, Lindo, Zoe, Lopez-Baucells, Adria, Lowe, Elizabeth, Marteinsdottir, Bryndis, Martens, Koen, Meffert, Peter, Mellado-Díaz, Andrés, Menz, Myles H. M., Meyer, Christoph F. J., Ramos Miranda, Julia, Mouillot, David, Ossola, Alessandro, Pakeman, Robin, Pavoine, Sandrine, Pekin, Burak, Pino, Joan, Pocheville, Arnaud, Pomati, Francesco, Poschlod, Peter, Prentice, Honor C., Purschke, Oliver, Raevel, Valerie, Reitalu, Triin, Renema, Willem, Ribera, Ignacio, Robinson, Natalie, Robroek, Bjorn, Rocha, Ricardo, Shieh, Sen-Her, Spake, Rebecca, Staniaszek-Kik, Monika, Stanko, Michal, Tejerina-Garro, Francisco Leonardo, ter Braak, Cajo, Urban, Mark C., van Klink, Roel, Villéger, Sébastien, Wegman, Ruut, Westgate, Martin J., Wolff, Jonas, Żarnowiec, Jan, Zolotarev, Maxim, Chase, Jonathan M., German Centre for Integrative Biodiversity Research, German Research Foundation, Fédération Île de France de Recherche en Environnement, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Swiss National Science Foundation, Jeliazkov, Alienor, Mijatovic, Darko, Chantepie, Stéphane, Andrew, Nigel, Arlettaz, Raphaël, Barbaro, Luc, Barsoum, Nadia, Bartonova, Alena, Belskaya, Elena, Bonada, Núria, Brind’Amour, Anik, Carvalho, Rodrigo, Castro, Helena, Chmura, Damian, Choler, Philippe, Chong-Seng, Karen, Cleary, Daniel, Cormont, Anouk, Cornwell, William, Campos, Ramiro de, de Voogd, Nicole, Dolédec, Sylvain, Drew, Joshua, Dziock, Frank, Eallonardo, Anthony, Edgar, Melanie J., Farneda, Fábio, Flores Hernández, Domingo, Frenette-Dussault, Cédric, Fried, Guillaume, Gallardo, Belinda, Gibb, Heloise, Gonçalves Souza, Thiago, Higuti, Janet, Humbert, Jean-Yves, Krasnov, Boris R., Le Saux, Eric, Lindo, Zoe, Lopez-Baucells, Adria, Lowe, Elizabeth, Marteinsdottir, Bryndis, Martens, Koen, Meffert, Peter, Mellado-Díaz, Andrés, Menz, Myles H. M., Meyer, Christoph F. J., Ramos Miranda, Julia, Mouillot, David, Ossola, Alessandro, Pakeman, Robin, Pavoine, Sandrine, Pekin, Burak, Pino, Joan, Pocheville, Arnaud, Pomati, Francesco, Poschlod, Peter, Prentice, Honor C., Purschke, Oliver, Raevel, Valerie, Reitalu, Triin, Renema, Willem, Ribera, Ignacio, Robinson, Natalie, Robroek, Bjorn, Rocha, Ricardo, Shieh, Sen-Her, Spake, Rebecca, Staniaszek-Kik, Monika, Stanko, Michal, Tejerina-Garro, Francisco Leonardo, ter Braak, Cajo, Urban, Mark C., van Klink, Roel, Villéger, Sébastien, Wegman, Ruut, Westgate, Martin J., Wolff, Jonas, Żarnowiec, Jan, Zolotarev, Maxim, and Chase, Jonathan M.

Abstract

The use of functional information in the form of species traits plays an important role in explaining biodiversity patterns and responses to environmental changes. Although relationships between species composition, their traits, and the environment have been extensively studied on a case-by-case basis, results are variable, and it remains unclear how generalizable these relationships are across ecosystems, taxa and spatial scales. To address this gap, we collated 80 datasets from trait-based studies into a global database for metaCommunity Ecology: Species, Traits, Environment and Space; “CESTES”. Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available. By its harmonized structure, and the diversity of ecosystem types, taxonomic groups, and spatial scales it covers, the CESTES database provides an important opportunity for synthetic trait-based research in community ecology.

Published
2020

45. GrassPlot – a database of multi-scale plant diversity in Palaearctic grasslands

Author

Jürgen, Dengler, Viktoria, Wagner, Iwona, Dembicz, Itziar, García-Mijangos, Alireza, Naqinezhad, Steffen, Boch, Alessandro, Chiarucci, Timo, Conradi, Goffredo, Filibeck, Riccardo, Guarino, Monika, Janišová, Steinbauer, Manuel J., Svetlana, Aćić, Acosta, Alicia T. R., Munemitsu, Akasaka, Marc-Andre, Allers, Iva, Apostolova, Irena, Axmanová, Branko, Bakan, Alina, Baranova, Manfred, Bardy-Durchhalter, Sándor, Bartha, Esther, Baumann, Thomas, Becker, Ute, Becker, Elena, Belonovskaya, Karin, Bengtsson, José Luis Benito Alonso, Asun, Berastegi, Ariel, Bergamini, Ilaria, Bonini, Hans Henrik Bruun, Vasyl, Budzhak, Alvaro, Bueno, Juan Antonio Campos, Laura, Cancellieri, Marta, Carboni, Cristina, Chocarro, Luisa, Conti, Marta, Czarniecka-Wiera, Pieter De Frenne, Balázs, Deák, Didukh, Yakiv P., Martin, Diekmann, Christian, Dolnik, Cecilia, Dupré, Klaus, Ecker, Nikolai, Ermakov, Brigitta, Erschbamer, Adrián, Escudero, Javier, Etayo, Zuzana, Fajmonová, Felde, Vivian A., Maria Rosa Fernández Calzado, Manfred, Finckh, Georgios, Fotiadis, Mariano, Fracchiolla, Anna, Ganeva, Daniel, García-Magro, Gavilán, Rosario G., Markus, Germany, Itamar, Giladi, François, Gillet, GIUSSO DEL GALDO, Gianpietro, González, Jose M., John-Arvid, Grytnes, Michal, Hájek, Petra, Hájková, Aveliina, Helm, Mercedes, Herrera, Eva, Hettenbergerová, Carsten, Hobohm, Hüllbusch, Elisabeth M., Nele, Ingerpuu, Ute, Jandt, Florian, Jeltsch, Kai, Jensen, Anke, Jentsch, Michael, Jeschke, Borja, Jiménez-Alfaro, Zygmunt, Kącki, Kaoru, Kakinuma, Jutta, Kapfer, Ali, Kavgacı, András, Kelemen, Kathrin, Kiehl, Asuka, Koyama, Koyanagi, Tomoyo F., Łukasz, Kozub, Anna, Kuzemko, Magni Olsen Kyrkjeeide, Sara, Landi, Nancy, Langer, Lorenzo, Lastrucci, Lorenzo, Lazzaro, Chiara, Lelli, Jan, Lepš, Swantje, Löbel, Luzuriaga, Arantzazu L., Simona, Maccherini, Martin, Magnes, Marek, Malicki, Marceno', Corrado, Constantin, Mardari, Leslie, Mauchamp, Felix, May, Ottar, Michelsen, Joaquín Molero Mesa, Zsolt, Molnár, Moysiyenko, Ivan Y., Nakaga, Yuko K., Rayna, Natcheva, Jalil, Noroozi, Pakeman, Robin J., Salza, Palpurina, Meelis, Pärtel, Ricarda, Pätsch, Harald, Pauli, Hristo, Pedashenko, Peet, Robert K., Remigiusz, Pielech, Nataša, Pipenbaher, Chrisoula, Pirini, Zuzana, Plesková, Polyakova, Mariya A., Prentice, Honor C., Jennifer, Reinecke, Triin, Reitalu, Maria Pilar Rodríguez-Rojo, Jan, Roleček, Vladimir, Ronkin, Leonardo, Rosati, Ejvind, Rosén, Eszter, Ruprecht, Solvita, Rusina, Marko, Sabovljević, Ana María Sánchez, Galina, Savchenko, Oliver, Schuhmacher, Sonja, Škornik, Marta Gaia Sperandii, Monika, Staniaszek-Kik, Zora, Stevanović-Dajić, Marin, Stock, Sigrid, Suchrow, Sutcliffe, Laura M. E., Grzegorz, Swacha, Martin, Sykes, Anna, Szabó, Amir, Talebi, Cătălin, Tănase, Massimo, Terzi, Csaba, Tölgyesi, Marta, Torca, Péter, Török, Béla, Tóthmérész, Nadezda, Tsarevskaya, Ioannis, Tsiripidis, Rossen, Tzonev, Atushi, Ushimaru, Orsolya, Valkó, Eddy van der Maarel, Thomas, Vanneste, Iuliia, Vashenyak, Kiril, Vassilev, Daniele, Viciani, Luis, Villar, Risto, Virtanen, Ivana Vitasović Kosić, Yun, Wang, Frank, Weiser, Julia, Went, Karsten, Wesche, Hannah, White, Manuela, Winkler, Zaniewski, Piotr T., Hui, Zhang, Yaron, Ziv, Sergey Znamenskiy &amp, Idoia Biurrun, Dengler, Jürgen, Wagner, Viktoria, Dembicz, Iwona, García-Mijangos, Itziar, Naqinezhad, Alireza, Boch, Steffen, Chiarucci, Alessandro, Conradi, Timo, Filibeck, Goffredo, Guarino, Riccardo, Janišová, Monika, Steinbauer, Manuel J., Acic, Svetlana, Acosta, Alicia T.R., Akasaka, Munemitsu, Allers, Marc-Andre, Apostolova, Iva, Axmanová, Irena, Bakan, Branko, Baranova, Alina, Bardy-Durchhalter, Manfred, Bartha, Sándor, Baumann, Esther, Becker, Thoma, Becker, Ute, Belonovskaya, Elena, Bengtsson, Karin, Alonso, José Luis Benito, Berastegi, Asun, Bergamini, Ariel, Bonini, Ilaria, Bruun, Hans Henrik, Budzhak, Vasyl, Bueno, Alvaro, Campos, Juan Antonio, Cancellieri, Laura, Carboni, Marta, Chocarro, Cristina, Conti, Luisa, Czarniecka-Wiera, Marta, De Frenne, Pieter, Deák, Baláz, Didukh, Yakiv P., Diekmann, Martin, Dolnik, Christian, Dupré, Cecilia, Ecker, Klau, Ermakov, Nikolai, Erschbamer, Brigitta, Escudero, Adrián, Etayo, Javier, Fajmonová, Zuzana, Felde, Vivian A., Calzado, Maria Rosa Fernández, Finckh, Manfred, Fotiadis, Georgio, Fracchiolla, Mariano, Ganeva, Anna, García-Magro, Daniel, Gavilán, Rosario G., Germany, Marku, Giladi, Itamar, Gillet, Françoi, del Galdo, Gian Pietro Giusso, González, Jose M., Grytnes, John-Arvid, Hájek, Michal, Hájková, Petra, Helm, Aveliina, Herrera, Mercede, Hettenbergerová, Eva, Hobohm, Carsten, Hüllbusch, Elisabeth M., Ingerpuu, Nele, Jandt, Ute, Jeltsch, Florian, Jensen, Kai, Jentsch, Anke, Jeschke, Michael, Jiménez-Alfaro, Borja, Kacki, Zygmunt, Kakinuma, Kaoru, Kapfer, Jutta, Kavgaci, Ali, Kelemen, Andrá, Kiehl, Kathrin, Koyama, Asuka, Koyanagi, Tomoyo F., Kozub, Lukasz, Kuzemko, Anna, Kyrkjeeide, Magni Olsen, Landi, Sara, Langer, Nancy, Lastrucci, Lorenzo, Lazzaro, Lorenzo, Lelli, Chiara, Lepš, Jan, Löbel, Swantje, Luzuriaga, Arantzazu L., Maccherini, Simona, Magnes, Martin, Malicki, Marek, Marcenò, Corrado, Mardari, Constantin, Mauchamp, Leslie, May, Felix, Michelsen, Ottar, Mesa, Joaquín Molero, Molnár, Zsolt, Moysiyenko, Ivan Y., Nakaga, Yuko K., Natcheva, Rayna, Noroozi, Jalil, Pakeman, Robin J., Palpurina, Salza, Pärtel, Meeli, Pätsch, Ricarda, Pauli, Harald, Pedashenko, Hristo, Peet, Robert K., Pielech, Remigiusz, Pipenbaher, Nataša, Pirini, Chrisoula, Plesková, Zuzana, Polyakova, Mariya A., Prentice, Honor C., Reinecke, Jennifer, Reitalu, Triin, Rodríguez-Rojo, Maria Pilar, Rolecek, Jan, Ronkin, Vladimir, Rosati, Leonardo, Rosén, Ejvind, Ruprecht, Eszter, Rusina, Solvita, Sabovljevic, Marko, Sánchez, Ana María, Savchenko, Galina, Schuhmacher, Oliver, Škornik, Sonja, Sperandii, Marta Gaia, Staniaszek-Kik, Monika, Stevanovic-Dajic, Zora, Stock, Marin, Suchrow, Sigrid, Sutcliffe, Laura M.E., Swacha, Grzegorz, Sykes, Martin, Szabó, Anna, Talebi, Amir, Tanase, Catalin, Terzi, Massimo, Tölgyesi, Csaba, Torca, Marta, Török, Péter, Tóthmérész, Béla, Tsarevskaya, Nadezda, Tsiripidis, Ioanni, Tzonev, Rossen, Ushimaru, Atushi, Valkó, Orsolya, van der Maarel, Eddy, Vanneste, Thoma, Vashenyak, Iuliia, Vassilev, Kiril, Viciani, Daniele, Villar, Lui, Virtanen, Risto, Kosic, Ivana Vitasovic, Wang, Yun, Weiser, Frank, Went, Julia, Wesche, Karsten, White, Hannah, Winkler, Manuela, Zaniewski, Piotr T., Zhang, Hui, Ziv, Yaron, Znamenskiy, Sergey, Biurrun, Idoia, Aćić, Svetlana, Acosta, Alicia T. R., Luis Benito Alonso, José, Henrik Bruun, Han, Antonio Campos, Juan, Rosa Fernández Calzado, Maria, Pietro Giusso del Galdo, Gian, Kącki, Zygmunt, Kavgacı, Ali, Kozub, Łukasz, Olsen Kyrkjeeide, Magni, Molero Mesa, Joaquín, Pilar Rodríguez-Rojo, Maria, Roleček, Jan, Sabovljević, Marko, María Sánchez, Ana, Sperandii, MARTA GAIA, Stevanović-Dajić, Zora, Sutcliffe, Laura M. E., Tănase, Cătălin, Vitasović Kosić, Ivana, Znamenskiy &amp, Sergey, Goffredo, Filibeck, and Benito Alonso, José Lui

Subjects
0106 biological sciences, Biodiversity, Plant Science, computer.software_genre, 01 natural sciences, Grassland, SAMPLING-DESIGN, RICHNESS, Ecoinformatics, ddc:550, biodiversity, European Vegetation Archive (EVA), Eurasian Dry Grassland Group (EDGG), grassland vegetation, GrassPlot, macroecology, multi-taxon, nested plot, scale-dependence, species-area relationship (SAR), sPlot, vegetation-plot database, Macroecology, 2. Zero hunger, SCALE DEPENDENCE, geography.geographical_feature_category, Database, Vegetation, Geography, Institut für Geowissenschaften, EUROPE, nested plot, scale-dependence, 010603 evolutionary biology, 577: Ökologie, METAANALYSIS, ENVIRONMENT, Data collection, grass- land vegetation, DRY GRASSLANDS, 15. Life on land, biodiversity • European Vegetation Archive (EVA) • Eurasian Dry Grassland Group (EDGG) • grassland vegetation • GrassPlot • macroecology • multi-taxon • nested plot • scale-dependence • species-area relationship (SAR) • sPlot • vegetation-plot database, Metadata, PATTERNS, SPECIES-AREA RELATIONSHIPS, Nested plot, scale-dependence, VEGETATION, Species richness, computer, 010606 plant biology & botany
Abstract

GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (relevés) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001; ... 1,000 m²) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetation-plot databases, such as the European Vegetation Archive (EVA) and the global database “sPlot”. Its main aim is to facilitate studies on the scale- and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board. Abbreviations: EDGG = Eurasian Dry Grassland Group; EVA = European Vegetation Archive; GrassPlot = Database of Scale-Dependent Phytodiversity Patterns in Palaearctic Grasslands; SAR = species-area relationship.

Published
2018

47. CESTES - A global database for metaCommunity Ecology: Species, Traits, Environment and Space

Author

Jeliazkov, Alienor, Mijatovic, Darko, Chantepie, Stéphane, Andrew, Nigel, Arlettaz, Raphaël, Barbaro, Luc, Barsoum, Nadia, Bartonova, Alena, Belskaya, Elena, Bonada, Núria, Brind’Amour, Anik, Carvalho, Rodrigo, Castro, Helena, Chmura, Damian, Choler, Philippe, Chong-Seng, Karen, Cleary, Daniel, Cormont, Anouk, Cornwell, William, de Campos, Ramiro, de Voogd, Nicole, Doledec, Sylvain, Drew, Joshua, Dziock, Frank, Eallonardo, Anthony, Edgar, Melanie J., Farneda, Fábio, Hernandez, Domingo Flores, Frenette-Dussault, Cédric, Fried, Guillaume, Gallardo, Belinda, Gibb, Heloise, Gonçalves-Souza, Thiago, Higuti, Janet, Humbert, Jean Yves, Krasnov, Boris R., Saux, Eric Le, Lindo, Zoe, Lopez-Baucells, Adria, Lowe, Elizabeth, Marteinsdottir, Bryndis, Martens, Koen, Meffert, Peter, Mellado-Díaz, Andres, Menz, Myles H.M., Meyer, Christoph F.J., Miranda, Julia Ramos, Mouillot, David, Ossola, Alessandro, Pakeman, Robin, Pavoine, Sandrine, Pekin, Burak, Pino, Joan, Pocheville, Arnaud, Pomati, Francesco, Poschlod, Peter, Prentice, Honor C., Purschke, Oliver, Robroek, Bjorn, Rocha, Ricardo, Shieh, Sen Her, Spake, Rebecca, Staniaszek-Kik, Monika, Stanko, Michal, Tejerina-Garro, Francisco Leonardo, ter Braak, Cajo, Urban, Mark C., van Klink, Roel, Villéger, Sébastien, Wegman, Ruut, Westgate, Martin J., Wolff, Jonas, Żarnowiec, Jan, Zolotarev, Maxim, Chase, Jonathan M., Jeliazkov, Alienor, Mijatovic, Darko, Chantepie, Stéphane, Andrew, Nigel, Arlettaz, Raphaël, Barbaro, Luc, Barsoum, Nadia, Bartonova, Alena, Belskaya, Elena, Bonada, Núria, Brind’Amour, Anik, Carvalho, Rodrigo, Castro, Helena, Chmura, Damian, Choler, Philippe, Chong-Seng, Karen, Cleary, Daniel, Cormont, Anouk, Cornwell, William, de Campos, Ramiro, de Voogd, Nicole, Doledec, Sylvain, Drew, Joshua, Dziock, Frank, Eallonardo, Anthony, Edgar, Melanie J., Farneda, Fábio, Hernandez, Domingo Flores, Frenette-Dussault, Cédric, Fried, Guillaume, Gallardo, Belinda, Gibb, Heloise, Gonçalves-Souza, Thiago, Higuti, Janet, Humbert, Jean Yves, Krasnov, Boris R., Saux, Eric Le, Lindo, Zoe, Lopez-Baucells, Adria, Lowe, Elizabeth, Marteinsdottir, Bryndis, Martens, Koen, Meffert, Peter, Mellado-Díaz, Andres, Menz, Myles H.M., Meyer, Christoph F.J., Miranda, Julia Ramos, Mouillot, David, Ossola, Alessandro, Pakeman, Robin, Pavoine, Sandrine, Pekin, Burak, Pino, Joan, Pocheville, Arnaud, Pomati, Francesco, Poschlod, Peter, Prentice, Honor C., Purschke, Oliver, Robroek, Bjorn, Rocha, Ricardo, Shieh, Sen Her, Spake, Rebecca, Staniaszek-Kik, Monika, Stanko, Michal, Tejerina-Garro, Francisco Leonardo, ter Braak, Cajo, Urban, Mark C., van Klink, Roel, Villéger, Sébastien, Wegman, Ruut, Westgate, Martin J., Wolff, Jonas, Żarnowiec, Jan, Zolotarev, Maxim, and Chase, Jonathan M.

Abstract

CESTES is a global database for metaCommunity Ecology: Species, Traits, Environment and Space. It compiles 80 datasets from trait-based studies. Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. CESTES presents a harmonized structure and covers a diversity of ecosystem types (marine, terrestrial, freshwater), taxonomic groups (plants, vertebrates, invertebrates...), geographical regions, and spatial scales. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available (https://icestes.github.io/sharedata). A zipped folder called “CESTES.zip” includes two alternative formats for the CESTES database: - a “xCESTES” folder that includes 80 Excel files (one file per dataset), each named according to the following structure: “AuthorPublicationYear.xlsx” - a “rCESTES” folder that includes the CESTES core processed database (comm, traits, envir, coord matrices) as an R list object “CESTES.RData” plus two R scripts, and two metadata tables for data processing and exploration. This “CESTES.zip” folder also includes: - an extended metadata table, “CESTES_metadata.xlsx”, that provides the general metadata information of all the datasets, - a tutorial document, “HOW_TO_SHARE_MY_DATA_FOR_CESTES.pdf”, that explains how to share data for integrating future datasets in the database. A second zipped folder, called "ceste.zip", corresponds to the non-spatial ancillary to CESTES. We provide access to 10 additional datasets that were not completely suitable for the CESTES database, due to the absence of spatial information or insufficient metadata but that were potentially valuable for their three other data matrices (comm, traits, envir). They follow the same structure as CESTES, except that they do not present the “coord” sheet and sometimes include only partial metadat, CESTES is a global database for metaCommunity Ecology: Species, Traits, Environment and Space. It compiles 80 datasets from trait-based studies. Each dataset includes four matrices: species community abundances or presences/absences across multiple sites, species trait information, environmental variables and spatial coordinates of the sampling sites. CESTES presents a harmonized structure and covers a diversity of ecosystem types (marine, terrestrial, freshwater), taxonomic groups (plants, vertebrates, invertebrates...), geographical regions, and spatial scales. The CESTES database is a live database: it will be maintained and expanded in the future as new datasets become available (https://icestes.github.io/sharedata). A zipped folder called “CESTES.zip” includes two alternative formats for the CESTES database: - a “xCESTES” folder that includes 80 Excel files (one file per dataset), each named according to the following structure: “AuthorPublicationYear.xlsx” - a “rCESTES” folder that includes the CESTES core processed database (comm, traits, envir, coord matrices) as an R list object “CESTES.RData” plus two R scripts, and two metadata tables for data processing and exploration. This “CESTES.zip” folder also includes: - an extended metadata table, “CESTES_metadata.xlsx”, that provides the general metadata information of all the datasets, - a tutorial document, “HOW_TO_SHARE_MY_DATA_FOR_CESTES.pdf”, that explains how to share data for integrating future datasets in the database. A second zipped folder, called "ceste.zip", corresponds to the non-spatial ancillary to CESTES. We provide access to 10 additional datasets that were not completely suitable for the CESTES database, due to the absence of spatial information or insufficient metadata but that were potentially valuable for their three other data matrices (comm, traits, envir). They follow the same structure as CESTES, except that they do not present the “coord” sheet and sometimes include only partial metadat

Published
2019

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