<b>Comparing the functional and phylogenetic structure between naturalized and native tree assemblages in Mediterranean-type regions</b>

The goal of this study is to assess which are the most important drivers of naturalization of exotic trees in Mediterranean-type regions (MTRs) by comparing the functional and phylogenetic structure between naturalized and native tree assemblages across all MTRs and within each MTR. Moreover, we also explored how the socioeconomic uses of naturalized trees (i.e., forestry, restoration, and ornamental) affected their functional and phylogenetic structure. We computed the functional richness of naturalized and native tree assemblages and the functional dissimilarity between assemblages by combining functional spaces and trait probability densities (TPD). For this purpose, we used the datasets entitled "exotic_native_traits" and "Community_matrix". "exotic_native_traits" contains the functional traits used in this study of all native and naturalized tree species in MTRs: "Seed" = seed mass; "PH" = plant height; "SLA" = specific leaf area; "LA" = leaf area; "WD" = wood density; "LNC" = leaf nitrogen content. In addition, this dataset also includes the Mediterranean region in which the species are present ("Med_region" column) and whether they are native or exotic to that region ("distribution" column). "Community_matrix" is a site x species matrix with information about the presence (1) and absence (0) of each species in the different assemblages considered in the study. "MedBiome_native" and "MedBiome_exotic" columns indicate if species are native or naturalized in MTRs. "CA_native", "CL_native", "MB_native", "SA_native", and "WA_native" columns indicate which species are native in each MTR, while "CA_exotic", "CL_exotic", "MB_exotic", "SA_exotic", and "WA_exotic" indicate which species have naturalized in each MTR. Finally, "ornamental", "forestry", and "restoration" columns indicate the uses of naturalized trees. The phylogenetic structure was addressed through the mean phylogenetic distance between assemblages. To do this, we have also attached the phylogenetic tree encompassing all the species of our dataset