Table 5.
Results of multiple regression on distance matrices (MRDM)
| Genetic distance | MRM model | Coef | P-value | r2 | F | P-value | |
|---|---|---|---|---|---|---|---|
| F ST | pFST ~ Geo | Int | 0.547 | 0.70 | 0.018 | 0.236 | 0.60 |
| Geo | 0.000 | 0.60 | |||||
| Full model | Int | 0.447 | 0.77 | 0.140 | 0.406 | 0.89 | |
| Geo | 0.001 | 0.69 | |||||
| Diet | 0.322 | 0.59 | |||||
| Temp | −0.112 | 0.66 | |||||
| Precip | 0.000 | 0.90 | |||||
| Jost's D | pD ~ Geo | Int | 0.362 | 0.65 | 0.002 | 0.021 | 0.90 |
| Geo | 0.000 | 0.90 | |||||
| Full model | Int | 0.330 | 0.63 | 0.102 | 0.285 | 0.84 | |
| Geo | 0.000 | 0.74 | |||||
| Diet | 0.210 | 0.56 | |||||
| Temp | −0.053 | 0.70 | |||||
| Precip | 0.000 | 0.49 |
Int = y-intercept; Geo = geographic distance; Diet = Horn's similarity index for diet; Temp = difference in mean annual temperature; Precip = difference in mean annual precipitation.