Hotspots of plant invasion predicted by propagule pressure and ecosystem characteristics

Figure S1 Partial dependence plots showing relationship between the 12 most influential predictor variables and fitted values of (a) the probability of all exotic species occupancy (logit-transformed), (b) all exotic species proportional cover (logit-transformed), (c) the probability of exotic forb occupancy (logit-transformed), and (d) exotic forb proportional cover (log₁₀-transformed).

Figure S2 Interaction plot showing combined effect of Thorium-inverse Potassium and time since last fire on the fitted value of all exotic species occupancy.

Table S1 Key predictor variables used to explain and predict the occupancy and abundance of all exotic species and exotic forbs in the Corangamite catchment.

Table S2 Correlation matrix showing relationship among the environmental predictors. Values reported are the Pearson correlation coefficient. Strong correlations (>  0.6) are in bold.

Table S3 Summary table showing the most important interactions in the BRT models. Only the occupancy models had interactions >  10%. Model details as in Table 1.

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