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Patterns and drivers of species richness and turnover of neo-endemic and palaeo-endemic vascular plants in a Mediterranean hotspot: the case of Crete, Greece

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Table 1 Elevational range (mean values ± standard deviation of  mean, minimum, and  maximum values), geographical range (mean values ± standard deviation), diversity indices (γ-diversity, mean α-diversity, and  β-diversity estimated by N* index), along with index NODF and C-score reflecting nestedness and species co-occurrence of non-endemic, neo-endemic and palaeo-endemic vascular plants in Crete, Greece
Fig. 2 Variance explained by the abiotic Multi‑Site Generalized Dissimilarity Model predicting Sørensen and Simpson zeta index differences (a, d) as function of environmental variables and distance for non‑endemic, neo‑endemic and palaeo‑endemic vascular plants of Crete, Greece, and by the biotic I and II Multi‑Site Generalized Dissimilarity Models for Sørensen (b, e) and Simpson (c, f) zeta index differences by adding the non‑endemic zeta diversity, and palaeo‑endemic or neo‑endemic zeta diversity as predictors for neo‑endemics and palaeo‑endemics
Fig. 3 The effects of non‑endemic zeta diversity, environmental variables and distance on differences in zeta diversity for different zeta orders estimated by Sørensen index for neo‑endemic and palaeo‑endemic vascular plants of Crete, Greece, as were estim
Fig. 4 The effects of non‑endemic zeta diversity, environmental variables and distance on differences in zeta diversity for different zeta orders estimated by Simpson index for neo‑endemic and palaeo‑endemic vascular plants of Crete, Greece, as were estima

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