| Model | Adjusted R2 | K | AICc | ∆AICc | AICw |
---|
1 | BIO12 ( +) | 0.73 | 3 | 78.80 | 0.00 | 0.39 |
2 | BIO12 ( +), PET (-) | 0.80 | 4 | 79.36 | 0.56 | 0.30 |
3 | NDVI ( +) | 0.65 | 3 | 81.91 | 3.11 | 0.08 |
4 | B12 ( +), NDVI (-) | 0.80 | 4 | 82.44 | 3.64 | 0.06 |
5 | NDVI ( +), B1 (-) | 0.71 | 4 | 83.49 | 4.69 | 0.04 |
6 | B12 ( +), BIO4 ( +) | 0.71 | 4 | 83.72 | 4.92 | 0.03 |
7 | B12 ( +), B1 (-) | 0.70 | 4 | 84.02 | 5.22 | 0.03 |
8 | NDVI ( +), B4 (-) | 0.66 | 4 | 85.54 | 6.74 | 0.01 |
- Only models with low differences in AICc values relative to the best model (Δi < 7) are shown. For each model, the predictor variable name (with its respective regression coefficient sign), R2 adjusted, estimated number of parameters (K), AICc values, delta AICc (Δi) and Akaike weights (AICw) are shown. The environmental variables were mean annual temperature (BIO1), temperature seasonality (BIO4), mean annual precipitation (BIO12), normalized index of vegetation difference (NDVI) and potential evapotranspiration (PET)