myrcia_predictors.RdA dataset containing predictors to use in automated conservation methods for species of the genus Myrcia. These predictors were prepared for the paper Evidence-based guidelines for automated assessments of plant species, and described in detail there. The dataset contains a mixture of assessed and unassessed species. Assessments were compiled from the IUCN Red List v.2021-3 and predictors were calculated across observed localities for each species as downloaded from GBIF.
myrcia_predictorsA data frame with 666 rows and 18 variables:
a unique identifier for the species, from WCVP
Extent of occurrence (EOO), in km^2
a measure of the impact of human activities, in 2009
human population density in 2020, in persons/km^2
proportion of a species observed localities that underwent forest loss between 2000-2019
mean average temperature, in degrees-C
precipitation in the driest quarter, in mm
elevation, in m
EOO, as calculated by ConR, in km^2
Area of occupancy (AOO), as calculated by ConR, in km^2
Number of locations estimated by ConR
Number of unique observations calculated by ConR
Total number of observations
Latitude of range centroid, in decimal-degrees
species name, as listed in WCVP
IUCN Red List category, if assessed
genus of species, as listed in WCVP
section of species, as detailed in Lucas et al. (2019)