Data used in: Trait-based prediction of extinction risk across terrestrial taxa

Trait-based prediction of extinction across terrestrial data See the full OA article here: In this study we analysed the generality of trait-based prediction of extinction risk across terrestrial (including freshwater) vertebrates, invertebrates, and plants at a global scale. We compiled data for 10 potential biological predictors and the extinction risk of species (IUCN 2021-3). Predictors: Body size, offspring size, fecundity, generation length, diet breadth, trophic level, dispersal ability, microhabitat, habitat breadth, and altitudinal range. Taxonomical groups: - Mammals, birds, reptiles, amphibians, freshwater fixes; - Dragonflies, butterflies, grasshoppers, spiders, snails; - Bryophytes, ferns, gymnosperms, monocots, legumes. Files - 20220730 main.R: R script to run the analyses - 20220730_Dataset: .xslx file containing all compiled traits for each group. Check the Legend tab for more information. - my_mammals.csv: validation dataset for mammals (most of the data retrieved from the COMBINE dataset - my_birds.csv: validation dataset for birds, most of it retrieved from AVONET. Running the analyses 1. Make sure all the downloaded files are unzipped in the same working directory. 2. Open main.R and source it (make sure main.R is in your R working directory) 3. Some of the supplementary analyses may take long to run (not more than 1 hour) 4. The script retrives Fig 1, Fig S1, S2, and S3, as well as several exploratory tables (those are not exported) For more details check the methodology section of the paper.