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Fig. S1. Structure of an Artificial Neural Network with a back-propagation learning algorithm.

Fig. S2. Definition of the virtual species' distribution with environmental variables.

Fig. S3. Consensus averaged prediction and standard deviation, as shown by Simapse as a preview of the built model.

Fig. S4. Variable importance, ROC and precision-recall plots as provided by Simapse.

Fig. S5. Partial derivatives plots as provided by Simapse.

Fig. S6. Profile plots as provided by Simapse.

Fig. S7. Variable surfaces as provided by Simapse.

Fig. S8. Results of Simapse's sensitivity analysis and correspondent response data from the virtual species.

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