A multi-scale modelling framework to guide management of plant invasions in a transboundary context

Forest Ecosystems

Table 2 Results of Multimodel Inference (MMI) for the regional study area, and importance of each predictor calculated with biomod2 for the local-scale study area

The values of w _i (always sum up to 1) indicate the likelihood that the model is the best, given the full model and data sets, allowing for a comparison of the importance of each model in explaining the observed distribution of the species. For biomod2, the relative importance was calculated for each predictor, indicating its importance in explaining the distribution of Hakea sericea in the study area (for more information see Appendix III)
The predictor with the highest importance explaining the local-scale distribution of H. sericea was the percentage of foliated metamorphic rocks, or schists (MetRock = 0.613; Table 2). This lithological predictor was followed in importance by temperature annual range (TempRan = 0.138), percentage of agriculture cover (pAgrico = 0.074), Shannon Diversity Index of land cover classes (shDiInd = 0.059), and maximum burnt area per cell (pMaxBurn = 0.067)