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, veg...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for mac...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for mac...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for mac...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroeco...
Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroeco...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for mac...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for mac...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for mac...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroeco...
Understanding fine-grain diversity patterns across large spatial extents is fundamental for macroeco...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims: Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for ma...
Aims Understanding fine-grain diversity patterns across large spatial extents is fundamental for mac...