Richness Patterns

Data of species and genus richness for the Northern Hemisphere for the present, masked for cold regions criteria and aggregated at two degree resolution with CRS “+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0” The raster ‘cold-adapted_species.tif’ and ‘cold-adapted_genera.tif’ cont...

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Bibliographic Details
Main Authors: Hagen, Oskar, Vaterlaus, Lisa, Albouy, Camille, Brown, Andrew, Leugger, Flurin, Onstein, Renske, Santana, Charles, Scotese, Christopher, Pellissier, Löic
Format: Dataset
Language:unknown
Published: 2019
Subjects:
Biodiversity
climate change
earth surface processes
flora
mountain
orogeny
cold-adapted plants
Arctic
Climate change
Online Access:http://hdl.handle.net/10255/dryad.216764
https://doi.org/10.5061/dryad.0ff6b04/2
Description
Summary:Data of species and genus richness for the Northern Hemisphere for the present, masked for cold regions criteria and aggregated at two degree resolution with CRS “+proj=longlat +datum=WGS84 +no_defs +ellps=WGS84 +towgs84=0,0,0” The raster ‘cold-adapted_species.tif’ and ‘cold-adapted_genera.tif’ contains the richness of cold-adapted species and genera respectively, and is the data set used to produce Figure 3. The six files ‘cold-adapted_family_[family name].tif’ contain the richness for the Compositae, Poaceae, Leguminosae, Brassicaceae, Cyperaceae, and Rosaceae families. These are the six most common cold-adapted families for the Northern Hemisphere and is the data used to produce Figure 4. The script ‘read_plor_richness.patterns.R’ loads and plots one simple example of richness patterns in a Artic Polar Stereographic projection (EPSG:3995). The folder ‘ocean_layer’ contains an ocean layer shapefile used to facilitate data visualization.

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