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

Benchmarking plant diversity of Palaearctic grasslands and other open habitats

Buldrini F.;Chiarucci A.;
2021

Abstract

Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroecological research and biodiversity conservation. Using the GrassPlot database, we provide benchmarks of fine-grain richness values of Palaearctic open habitats for vascular plants, bryophytes, lichens and complete vegetation (i.e., the sum of the former three groups). Location: Palaearctic biogeographic realm. Methods: We used 126,524 plots of eight standard grain sizes from the GrassPlot database: 0.0001, 0.001, 0.01, 0.1, 1, 10, 100 and 1,000 m2 and calculated the mean richness and standard deviations, as well as maximum, minimum, median, and first and third quartiles for each combination of grain size, taxonomic group, biome, region, vegetation type and phytosociological class. Results: Patterns of plant diversity in vegetation types and biomes differ across grain sizes and taxonomic groups. Overall, secondary (mostly semi-natural) grasslands and natural grasslands are the richest vegetation type. The open-access file ”GrassPlot Diversity Benchmarks” and the web tool “GrassPlot Diversity Explorer” are now available online (https://edgg.org/databases/GrasslandDiversityExplorer) and provide more insights into species richness patterns in the Palaearctic open habitats. Conclusions: The GrassPlot Diversity Benchmarks provide high-quality data on species richness in open habitat types across the Palaearctic. These benchmark data can be used in vegetation ecology, macroecology, biodiversity conservation and data quality checking. While the amount of data in the underlying GrassPlot database and their spatial coverage are smaller than in other extensive vegetation-plot databases, species recordings in GrassPlot are on average more complete, making it a valuable complementary data source in macroecology.
Biurrun I.; Pielech R.; Dembicz I.; Gillet F.; Kozub L.; Marceno C.; Reitalu T.; Van Meerbeek K.; Guarino R.; Chytry M.; Pakeman R.J.; Preislerova Z.; Axmanova I.; Burrascano S.; Bartha S.; Boch S.; Bruun H.H.; Conradi T.; De Frenne P.; Essl F.; Filibeck G.; Hajek M.; Jimenez-Alfaro B.; Kuzemko A.; Molnar Z.; Partel M.; Patsch R.; Prentice H.C.; Rolecek J.; Sutcliffe L.M.E.; Terzi M.; Winkler M.; Wu J.; Acic S.; Acosta A.T.R.; Afif E.; Akasaka M.; Alatalo J.M.; Aleffi M.; Aleksanyan A.; Ali A.; Apostolova I.; Ashouri P.; Batori Z.; Baumann E.; Becker T.; Belonovskaya E.; Benito Alonso J.L.; Berastegi A.; Bergamini A.; Bhatta K.P.; Bonini I.; Buchler M.-O.; Budzhak V.; Bueno A.; Buldrini F.; Campos J.A.; Cancellieri L.; Carboni M.; Ceulemans T.; Chiarucci A.; Chocarro C.; Conti L.; Csergo A.M.; Cykowska-Marzencka B.; Czarniecka-Wiera M.; Czarnocka-Cieciura M.; Czortek P.; Danihelka J.; de Bello F.; Deak B.; Demeter L.; Deng L.; Diekmann M.; Dolezal J.; Dolnik C.; Drevojan P.; Dupre C.; Ecker K.; Ejtehadi H.; Erschbamer B.; Etayo J.; Etzold J.; Farkas T.; Farzam M.; Fayvush G.; Fernandez Calzado M.R.; Finckh M.; Fjellstad W.; Fotiadis G.; Garcia-Magro D.; Garcia-Mijangos I.; Gavilan R.G.; Germany M.; Ghafari S.; Giusso del Galdo G.P.; Grytnes J.-A.; Guler B.; Gutierrez-Giron A.; Helm A.; Herrera M.; Hullbusch E.M.; Ingerpuu N.; Jagerbrand A.K.; Jandt U.; Janisova M.; Jeanneret P.; Jeltsch F.; Jensen K.; Jentsch A.; Kacki Z.; Kakinuma K.; Kapfer J.; Kargar M.; Kelemen A.; Kiehl K.; Kirschner P.; Koyama A.; Langer N.; Lazzaro L.; Leps J.; Li C.-F.; Li F.Y.; Liendo D.; Lindborg R.; Lobel S.; Lomba A.; Lososova Z.; Lustyk P.; Luzuriaga A.L.; Ma W.; Maccherini S.; Magnes M.; Malicki M.; Manthey M.; Mardari C.; May F.; Mayrhofer H.; Meier E.S.; Memariani F.; Merunkova K.; Michelsen O.; Molero Mesa J.; Moradi H.; Moysiyenko I.; Mugnai M.; Naqinezhad A.; Natcheva R.; Ninot J.M.; Nobis M.; Noroozi J.; Nowak A.; Onipchenko V.; Palpurina S.; Pauli H.; Pedashenko H.; Pedersen C.; Peet R.K.; Perez-Haase A.; Peters J.; Pipenbaher N.; Pirini C.; Pladevall-Izard E.; Pleskova Z.; Potenza G.; Rahmanian S.; Rodriguez-Rojo M.P.; Ronkin V.; Rosati L.; Ruprecht E.; Rusina S.; Sabovljevic M.; Sanaei A.; Sanchez A.M.; Santi F.; Savchenko G.; Sebastia M.T.; Shyriaieva D.; Silva V.; Skornik S.; Smerdova E.; Sonkoly J.; Sperandii M.G.; Staniaszek-Kik M.; Stevens C.; Stifter S.; Suchrow S.; Swacha G.; Swierszcz S.; Talebi A.; Teleki B.; Tichy L.; Tolgyesi C.; Torca M.; Torok P.; Tsarevskaya N.; Tsiripidis I.; Turisova I.; Ushimaru A.; Valko O.; Van Mechelen C.; Vanneste T.; Vasheniak I.; Vassilev K.; Viciani D.; Villar L.; Virtanen R.; Vitasovic-Kosic I.; Vojtko A.; Vynokurov D.; Walden E.; Wang Y.; Weiser F.; Wen L.; Wesche K.; White H.; Widmer S.; Wolfrum S.; Wrobel A.; Yuan Z.; Zeleny D.; Zhao L.; Dengler J.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/834323
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