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Benchmarking plant diversity of Palaearctic grasslands and other open habitats.

Authors :
Biurrun, Idoia
Pielech, Remigiusz
Dembicz, Iwona
Łukasz Kozub, François Gillet6
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
Source :
Journal of Vegetation Science. Jul/Aug2021, Vol. 32 Issue 4, p1-21. 21p.
Publication Year :
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/datab ases/Grass landD ivers ityEx plorer) 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11009233
Volume :
32
Issue :
4
Database :
Academic Search Index
Journal :
Journal of Vegetation Science
Publication Type :
Academic Journal
Accession number :
152017860
Full Text :
https://doi.org/10.1111/jvs.13050