SDM env predictor comparison dataset

Identifying the environmental drivers of the global distribution of succulent plants using the crassulacean acid metabolism pathway of photosynthesis has previously been investigated through ensemble-modelling of species delimiting the realised niche of the natural succulent biome. An alternative approach, which may provide further insight into the fundamental niche of succulent plants in the absence of dispersal limitation, is to model the distribution of selected species that are globally widespread and have become naturalised far beyond their native habitats.  This could be of interest, for example, in defining areas that may be suitable for cultivation of alternative crops resilient to future climate change. We therefore explored the performance of climate-only species distribution models in predicting the drivers and distribution of two widespread CAM plants, Opuntia ficus-indica and Euphorbia tirucalli.  Using two different algorithms and five predictor sets, we created distributi..., R code and additional raster datasets attached for recreating the data, models and results presented in Buckland et al. (2022) - Ecol & Evolution.
Save the additional raster datasets to the working directory, and update the file pathways in the R code to the relevant directory locations. Please refer to README file for futher information, or contact the corresponding author: [e-mail],