EWINA_RICH : a database of EarthWorm native and alien species richness accross North America

EWINA_RICH gathers data on observed and predicted native and alien species richness of earthworms species across geographical units of North America (Mexico, US and Canada), based on data from 1850 to 2021. Please refer to the published paper for the details about the process to produce the predictions and the general interpretation of the results. Data are given at two distinct spatial resolutions - Data at the resolution of counties or equivalent EWINA_counties.geojson: Spatial layer of all counties or alike geographical units, with environmental covariates. Used to map geographical units and to predict RASR. EWINA_2000_counties_obs.csv: Observed earthworm species richness and RASR (Relative Alien Species Richness) in the geographical units with earthworm data, since year 2000, together with the environmtal covariates.(Coverage based estimates, used in the paper, will be released soon, feel free to reach out if you need them). EWINA_2000_counties_pred.csv: Predicted earthworm RASR (Relative Alien Species Richness) and its uncertainty, in all counties or equivalent, based on a model fitted on data after the year 2000. - Data at the resolution of TDWG4 geographical units (≈ states) see the Biodiversity Information Facility Website for more info about the definition of TDWG4 geographical units EWINA_TDWG4_aboveground.geojson: Spatial layer of TDWG4 geographical units, with above ground alien taxa richness from Dawson 2017 https://doi.org/10.1038/s41559-017-0186. EWINA_TDWG4_earthworms_YYYY.csv: Observed earthworm native and exotic species richness in the TDWG4 units, data cumulated from 1850 to YYYY. EWINA_TDWG4_fun.csv: Observed native and alien earthworm species functionnal role in the TDWG4 units, data cumulated from 1850 to 2021. All data files are provided with a readme file that explains the meaning of the variables. Scripts to use the data are stored on GitHub: https://github.com/JeromeMathieuEcology/GlobalWorming