Table 2. Estimates of the effect of the climate variables on Maxent models.
Species | Variable | Percent contribution | Permutation importance |
---|---|---|---|
Meadow pipit | Temperature (bio11) | 42.4 | 65.4 |
Precipitation seasonality (bio15) | 3.8 | 5.3 | |
Precipitation (bio19) | 53.8 | 65.4 | |
AUC ± SD | 0.877±0.018 | ||
Chiffchaff | Temperature (bio11) | 48.2 | 29.1 |
Precipitation seasonality (bio15) | 12.2 | 9.6 | |
Precipitation (bio19) | 39.6 | 61.3 | |
AUC ± SD | 0.836±0.017 |
Percent contribution indicates the change in regularized gain by adding the corresponding variable. Permutation importance represents, for each variable in turn, the resulting drop in training AUC when the values of that variable on training presence and background data are randomly permuted. They are normalized to show percentages. Values are averages over 10 replicate runs.