Figure S5. Relative variable importance of the ten most important predictor variables influencing whether red kites tracked with GPS devices in Germany were predicted to breed successfully. Variable importance was derived from a permutation procedure quantifying the reduction in discriminative ability of a random forest model. Accuracy is the proportion of internally cross-validated test cases that were predicted correctly. See Table S1 for explanation of variables.