Table 2 Global quasi R2 values of the Geographically Weighted Regression fitted models with an analysis extent of 5% of the total data as bandwidth, considering different sampling scales (20 × 20, 50 × 50 km UTM grid cell) for each studied livestock species richness (i.e. bovine, ovine, caprine, equid -horses and donkeys-, porcine and total) in past and present distribution, using as predictors annual mean temperature, annual precipitation, precipitation seasonality and vegetation productivity seasonality (see more detail in SM, Appendix 2).
Sample size | Global Quasi-R2 | ||
|---|---|---|---|
Past | Past | ||
Bovine | 20 × 20 | 0.65 | 0.37 |
50 × 50 | 0.66 | 0.48 | |
Ovine | 20 × 20 | 0.43 | 0.16 |
50 × 50 | 0.57 | 0.24 | |
Caprine | 20 × 20 | 0.43 | 0.23 |
50 × 50 | 0.46 | 0.35 | |
Equid | 20 × 20 | 0.73 | 0.42 |
50 × 50 | 0.75 | 0.47 | |
Porcine | 20 × 20 | 0.66 | 0.24 |
50 × 50 | 0.70 | 0.38 | |
Total | 20 × 20 | 0.65 | 0.41 |
50 × 50 | 0.68 | 0.51 | |