Number of species for which each modelling framework generated the most accurate forecasts.

<p>Prediction accuracy was measured for each species by AUC, sensitivity, and specificity of the entire range in t₂, as well as the correct classification rate of grid squares that have remained occupied or unoccupied (CCR_stable) and the correct classification rate of grid squares that have changed occupancy status between time periods (CCR_changed). Values represent the total number (and proportion of the total sample) of species for which each technique performed best. Proportions may exceed 100% of the sample as several species were equally well-predicted by more than one technique.