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Figure S1 Moran’s I correlograms for islands (a), mainlands (b), and the combined data sets (c). Shown are patterns of spatial autocorrelation for raw species richness (black) as well as residuals from Generalized Linear (green) and Spatial Linear (red) multi-predictor models (compare Table 2 and Supplementary Table S4).

Figure S2 Geographic patterns of residual variation of island species richness from the multi-predictor generalized linear models (GLMs) and spatial linear models (SLMs). Values represent standard deviations.

Table S1 Matrix of correlation coefficients (Pearson’s r) between independent variables for n = 488 islands investigated in this study. For the three island types mean values (±standard deviations) are given. All variables (except for distance) were log10-transformed. Superior letters indicate significant differences among islands of different geological origin (Tukey’s HSD post hoc test).

Table S2 Single-predictor relationships between vascular plant species numbers on islands, mainland regions and in the combined data set. Results of traditional, non-spatial Generalized Linear Models (GLM). Species richness (response) and all continuous predictor variables (except for distance) were log10 transformed.

Table S3 Two-way interaction effects among all investigated variables and plant species richness on islands. &Dgr;AIC values are shown (&Dgr;AIC = AICmain + AIC int; where AICmain is the Akaike information criterion for the model with only main effects and AICint including main effects plus interaction terms). High &Dgr;AIC values indicate strong interactive effects. SAR results are shown in the upper right block, GLM result in the lower left block. &Dgr;AIC values > 2 are marked in bold.

Table S4 Multi-predictor models of vascular plant speci richness on island and mainland floras and the combined data set. Results of traditional, non-spatial Generalized Linear Models (GLM).

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