Table 3.
Distance-based redundancy analysis (dbRDA) results for all 57 localities.
| Marginal tests | Conditional tests | |||||
|---|---|---|---|---|---|---|
| Variable | F | p | % VAR | F | %VAR | |
| FSTLIN | ||||||
| GGD | 2.827 | 0.001 | 6.66 | |GGD | ||
| ELE | 2.811 | 0.001 | 3.36 | 2.787 | 3.23 | |
| ELEDIF | 3.522 | 0.001 | 8.81 | 3.183 | 7.52 | |
| RIVN | 2.809 | 0.001 | 19.93 | 2.369 | 15.49 | |
| RIVBIN | 2.674 | 0.001 | 20.94 | 2.388 | 17.57 | |
| RDSN | 3.843 | 0.001 | 9.81 | 3.269 | 7.79 | |
| RWSN | 3.262 | 0.001 | 11.56 | 2.619 | 8.38 | |
| RWSBIN | 2.831 | 0.001 | 15.14 | 2.486 | 12.36 | |
| Model | AIC | ΔAIC | %VAR | |||
|---|---|---|---|---|---|---|
| FSTLIN ~ ELE + ELEDIF + RDSN + RIVBIN + GGD | 3.06 | 0 | 22.78 | |||
| FSTLIN ~ ELEDIF + RDSN + RIVBIN + GGD | 3.18 | 0.12 | 21.34 | |||
| FSTLIN ~ ELEDIF + RDSN + RIVBIN | 3.19 | 0.13 | 20.01 | |||
| FSTLIN ~ 1 (null model) | 11.29 | 8.23 | ||||
Response variable is linearized FST and predictors are geographic distance between sampling sites (GGD), elevation (ELE), elevation difference (ELEDIF), number of rivers (RIVN), binary rivers matrix (RIVBIN), number of roads (RDSN), number of railways (RWSN) and binary railways matrix (RWSBIN). Size effect (F), p-value (p), and percentage of explained variance (%VAR) by each predictor (Adjusted R2*100). Model selection based on Akaike’s Information Criteria (AIC) is shown. below.