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229 results on '"Reitalu, Triin"'

2. 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

3. 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

5. Latitudinal gradients in the phylogenetic assembly of angiosperms in Asia during the Holocene.

Author

Bhatta, Kuber P., Mottl, Ondřej, Felde, Vivian A., Grytnes, John-Arvid, Reitalu, Triin, Birks, Hilary H., Birks, H. John B., and Vetaas, Ole R.

Subjects
FOSSIL pollen, SPATIO-temporal variation, HOLOCENE Epoch, ANGIOSPERMS, CONSERVATISM
Abstract

Spatio-temporal assessment of phylogenetic diversity gradients during the Holocene (past 12,000 years) provides an opportunity for a deeper understanding of the dynamics of species co-occurrence patterns under environmental fluctuations. Using two robust metrics of phylogenetic dispersion (PD) and 99 fossil pollen sequences containing 6557 samples/assemblages, we analyse spatio-temporal variation in PD of angiosperms and its relationship with Holocene climate in central Asia. Overall, PD throughout the Holocene decreases linearly with increasing latitude, except for a rise in mean nearest taxon distance from ca. 25 to 35° N. This indicates that phylogenetically divergent taxa decrease progressively with increasing latitude, leaving more phylogenetically closely related taxa in the assemblages, thereby increasing phylogenetic relatedness among the co-occurring taxa. The latitudinal gradient of PD has not been consistent during the Holocene, and this temporal variation is concordant with the Holocene climate dynamics. In general, profound temporal changes in the latitudinal PD toward higher latitudes implies that the major environmental changes during the Holocene have driven considerable spatio-temporal changes in the phylogenetic assembly of high-latitude angiosperm assemblages. Our results suggest that environmental filtering and the tendency of taxa and lineages to retain ancestral ecological features and geographic distributions (phylogenetic niche conservatism) are the main mechanisms underlying the phylogenetic assembly of angiosperms along the climate-latitudinal gradient. Ongoing environmental changes may pose future profound phylogenetic changes in high-latitude plant assemblages, which are adapted to harsh environmental conditions, and therefore are phylogenetically less dispersed (more conservative or clustered). [ABSTRACT FROM AUTHOR]

Published
2024
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14. Trait‐based approaches as ecological time machines: Developing tools for reconstructing long‐term variation in ecosystems

Author

Brown, Kerry A., Bunting, M. Jane, Carvalho, Fabio, de Bello, Francesco, Mander, Luke, Marcisz, Katarzyna, Mottl, Ondrej, Reitalu, Triin, Svenning, Jens‐Christian, Brown, Kerry A., Bunting, M. Jane, Carvalho, Fabio, de Bello, Francesco, Mander, Luke, Marcisz, Katarzyna, Mottl, Ondrej, Reitalu, Triin, and Svenning, Jens‐Christian

Abstract

Research over the past decade has shown that quantifying spatial variation in ecosystem properties is an effective approach to investigating the effects of environmental change on ecosystems. Yet, current consensus among scientists is that we need a better understanding of short‐ and long‐term (temporal) variation in ecosystem properties to plan effective ecosystem management and predict future ecologies. Trait‐based approaches can be used to reconstruct ecosystem properties from long‐term ecological records and contribute significantly to developing understandings of ecosystem change over decadal to millennial time‐scales. Here, we synthesise current trait‐based approaches and explore how organisms' functional traits (FTs) can be scaled across time and space. We propose a framework for reconstructing long‐term variation in ecosystems by means of analysing FTs derived from palaeoecological datasets. We then summarise challenges that must be overcome to reconcile trait‐based approaches with palaeo‐datasets. Finally, we discuss the benefits and limitations of trait‐based reconstructions of ecosystem temporal dynamics and suggest future directions for research. Reconstructing environmental properties through time vis‐à‐vis FTs can be separated into two parts. The first is to record trait data for organisms present in modern ecosystems, and the second is to reconstruct temporal variability in FTs from palaeoecological datasets, capturing changes in trait composition over time. Translating palaeoecological datasets into FTs is challenging due to taphonomic, taxonomic and chronological uncertainties, as well as uniformitarian assumptions. Explicitly identifying and addressing these challenges is important to effectively calculate changes in FT through time. Palaeo‐trait research offers insights into questions related to short‐ and long‐term ecosystem functioning, environmental change and extinction and community assembly rules across time. As work in this area matures, we

Published
2023

15. Trait-based approaches as ecological time machines: Developing tools for reconstructing long-term variation in ecosystems

Author

Royal Society (UK), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Danish National Research Foundation, European Research Council, European Commission, Estonian Research Council, Brown, Kerry A., Bunting, M. Jane, Carvalho, Fabio, de Bello, Francesco, Mander, Luke, Marcisz, Katarzyna, Mottl, Ondrej, Reitalu, Triin, Svenning, Jens-Christian, Royal Society (UK), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Danish National Research Foundation, European Research Council, European Commission, Estonian Research Council, Brown, Kerry A., Bunting, M. Jane, Carvalho, Fabio, de Bello, Francesco, Mander, Luke, Marcisz, Katarzyna, Mottl, Ondrej, Reitalu, Triin, and Svenning, Jens-Christian

Abstract

Research over the past decade has shown that quantifying spatial variation in ecosystem properties is an effective approach to investigating the effects of environmental change on ecosystems. Yet, current consensus among scientists is that we need a better understanding of short- and long-term (temporal) variation in ecosystem properties to plan effective ecosystem management and predict future ecologies. Trait-based approaches can be used to reconstruct ecosystem properties from long-term ecological records and contribute significantly to developing understandings of ecosystem change over decadal to millennial time-scales. Here, we synthesise current trait-based approaches and explore how organisms' functional traits (FTs) can be scaled across time and space. We propose a framework for reconstructing long-term variation in ecosystems by means of analysing FTs derived from palaeoecological datasets. We then summarise challenges that must be overcome to reconcile trait-based approaches with palaeo-datasets. Finally, we discuss the benefits and limitations of trait-based reconstructions of ecosystem temporal dynamics and suggest future directions for research. Reconstructing environmental properties through time vis-à-vis FTs can be separated into two parts. The first is to record trait data for organisms present in modern ecosystems, and the second is to reconstruct temporal variability in FTs from palaeoecological datasets, capturing changes in trait composition over time. Translating palaeoecological datasets into FTs is challenging due to taphonomic, taxonomic and chronological uncertainties, as well as uniformitarian assumptions. Explicitly identifying and addressing these challenges is important to effectively calculate changes in FT through time. Palaeo-trait research offers insights into questions related to short- and long-term ecosystem functioning, environmental change and extinction and community assembly rules across time. As work in this area matures, we

Published
2023

20. Editorial : Past interactions between climate, land use, and vegetation

Author

Marquer, Laurent, Seim, Andrea, Kuosmanen, Niina, Reitalu, Triin, Solomina, Olga, Tallavaara, Miikka, Department of Geosciences and Geography, and Hominin Ecology

Subjects
1171 Geosciences, Tree-rings, Dendrochronology, Multiproxy analysis, Pollen, Data integration, Past land-cover, 1172 Environmental sciences
Published
2023

25. 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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34. Supplemetary Information from Observed and dark diversity dynamics over millennial time scales: fast life-history traits linked to expansion lags of plants in Northern Europe

Author

Trindade, Diego P. F., Carmona, Carlos P., Reitalu, Triin, and Pärtel, Meelis

Abstract

Global change drivers (e.g. climate and land-use) affect the species and functional traits observed in a local site but also its dark diversity—the set of species and traits locally suitable but absent. Dark diversity links regional and local scales and, over time, reveals taxa under expansion lags by depicting the potential biodiversity that remains suitable but is absent locally. Since global change effects on biodiversity are both spatially and temporally scale dependent, examining long-term temporal dynamics in observed and dark diversity would be relevant to assessing and foreseeing biodiversity change. Here, we used sedimentary pollen data to examine how both taxonomic and functional observed and dark diversity changed over the past 14 500 years in northern Europe. We found that taxonomic and functional observed and dark diversity increased over time, especially after the Late Glacial and during the Late Holocene. However, dark diversity dynamics revealed expansion lags related to species' functional characteristics (dispersal limitation and stress intolerance) and an extensive functional redundancy when compared to taxa in observed diversity. We highlight that assessing observed and dark diversity dynamics is a promising tool to examine biodiversity change across spatial scales, its possible causes, and functional consequences.

Published
2022
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37. 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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39. Big Data Palaeoecology reveals significant variation in Black Death mortality in Europe

Author

Izdebski, Adam, primary, Guzowski, Piotr, additional, Poniat, Radosław, additional, Masci, Lucrezia, additional, Palli, Jordan, additional, Vignola, Cristiano, additional, Bauch, Martin, additional, Cocozza, Carlo, additional, Fernandes, Ricardo, additional, Ljungqvist, Fredrik, additional, Newfield, Timothy, additional, Seim, Andrea, additional, Abel-Schaad, Daniel, additional, Alba-Sánchez, Francisca, additional, Björkman, Leif, additional, Brauer, Achim, additional, Brown, Alex, additional, Czerwiński, Sambor, additional, Ejarque, Ana, additional, Fiłoc, Magdalena, additional, Florenzano, Assunta, additional, Fredh, Erik, additional, Fyfe, Ralph, additional, Jasiunas, Nauris, additional, Kołaczek, Piotr, additional, Kouli, Katerina, additional, Kozáková, Radka, additional, Kupryjanowicz, Mirosława, additional, Lagerås, Per, additional, Lamentowicz, Mariusz, additional, Lindbladh, Matts, additional, López-Sáez, Jose Antonio, additional, Luelmo-Lautenschlaeger, Reyes, additional, Marcisz, Katarzyna, additional, Mazier, Florence, additional, Mensing, Scott, additional, Mercuri, Anna Maria, additional, Milecka, Krystyna, additional, Miras, Yannick, additional, Noryśkiewicz, Agnieszka, additional, Novenko, Elena, additional, Obremska, Milena, additional, Pędziszewska, Anna, additional, Pérez-Díaz, Sebastián, additional, Piovesan, Gianluca, additional, Pluskowski, Aleks, additional, Pokorný, Petr, additional, Poska, Anneli, additional, Reitalu, Triin, additional, Rösch, Manfred, additional, Sadori, Laura, additional, Ferreira, Carla Sá, additional, Sebag, David, additional, Słowiński, Michał, additional, Stančikaitė, Migle, additional, Stivrins, Normunds, additional, Tunno, Irene, additional, Veski, Siim, additional, Wacnik, Agnieszka, additional, and Masi, Alessia, additional

Published
2021
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40. 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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41. 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

42. 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

44. Svetlenkoye_pollen_appendix_oct2019 – Supplemental material for Postglacial flooding and vegetation history on the Ob River terrace, central Western Siberia based on the palaeoecological record from Lake Svetlenkoye

Author

Leeli Amon, Blaus, Ansis, Alliksaar, Tiiu, Atko Heinsalu, Lapshina, Elena, Liiv, Merlin, Reitalu, Triin, Vassiljev, Jüri, and Veski, Siim

Subjects
History, Geography
Abstract

Supplemental material, Svetlenkoye_pollen_appendix_oct2019 for Postglacial flooding and vegetation history on the Ob River terrace, central Western Siberia based on the palaeoecological record from Lake Svetlenkoye by Leeli Amon, Ansis Blaus, Tiiu Alliksaar, Atko Heinsalu, Elena Lapshina, Merlin Liiv, Triin Reitalu, Jüri Vassiljev and Siim Veski in The Holocene

Published
2020
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45. Grassland diversity related to the Late Iron Age human population density

Author

Partel, Meelis, Helm, Aveliina, Reitalu, Triin, Liira, Jaan, and Zobel, Martin

Subjects
Population density, Biological sciences, Environmental issues
Abstract

To purchase or authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1365-2745.2007.01230.x Byline: MEELIS PARTEL (*), AVELIINA HELM (*), TRIIN REITALU (*[dagger]), JAAN LIIRA (*), MARTIN ZOBEL (*) Keywords: diaspores; dispersal; grassland management; Iron Age; landscape; land-use history; prehistoric settlements; species density; species packing; species pool Abstract: Summary Species-rich semi-natural grasslands in Europe developed during prehistoric times and have endured due to human activity. At the same time, intensive grassland management or changes in land use may result in species extinction. As a consequence, plant diversity in semi-natural calcareous grasslands may be related to both historical and current human population density. We hypothesize that current vascular plant diversity in semi-natural calcareous grasslands is positively correlated with the Late Iron Age (c. 800-1000 years ago) density of human settlements (indicated by Late Iron Age fortresses and villages) due to enhancement of grassland extent and species dispersal, and negatively correlated with current human population density due to habitat loss and deterioration. We described the size of the community vascular plant species pool, species richness per 1 m.sup.2 and the relative richness (richness divided by the size of the species pool) in 45 thin soil, calcareous (alvar) grasslands in Estonia. In addition to historical and current human population density we considered simultaneously the effects of grassland area, connectivity to other alvar grasslands, elevation above sea level (indicating grassland age), soil pH, soil N, soil P, soil depth, soil depth heterogeneity, geographical east-west gradient, precipitation and spatial autocorrelation. Both the size of the community species pool and the species richness are significantly correlated with the Late Iron Age human population density. In addition, species richness was unimodally related to the current human population density. The relative richness (species 'packing density') was highest in the intermediate current human population densities, indicative of moderate land-use intensity. Community species pool size decreased non-linearly with increasing soil N, and was highest at intermediate elevation. Small-scale richness was greater when sites were well connected and when the elevation was intermediate. Spatial autocorrelation was also significant for both species pool size and small-scale richness. In summary, human land-use legacy from prehistoric times is an important aspect in plant ecology, which could be an important contributor to the current variation in biodiversity. Author Affiliation: (*)Institute of Botany and Ecology, University of Tartu, Lai 40, Tartu 51005, Estonia, and ([dagger])Section of Plant Ecology and Systematics, Department of Ecology, Lund University, Ecology Building, 22362, Lund, Sweden Article History: Received 15 September 2006; revision accepted 2 February 2007 Handling Editor: Hans Cornelissen Article note: Correspondence: Meelis Partel (tel. +372 7376234, fax +372 7376222; e-mail Meelis.Partel@ut.ee).

Published
2007

46. 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

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