Table 2.
Results for approximate Bayesian computation analysis using summary statistics from observed data as the target
| (a) | ||||
|---|---|---|---|---|
| Dataset | Parameter | Median | Mode | 95% CI |
| MSAT-Pop | K | 1479 | 1397 | 659–4280 |
| MSAT-Pop | M | 8.75 × 10−3 | 8.14 × 10−3 | 6.46 × 10−3–1.144 × 10−2 |
| mtDNA-Pop | K | 1568 | 1220 | 0–4895 |
| mtDNA-Pop | M | 1.35 × 10−3 | 1.27 × 10−3 | 2.57 × 10−4–3.62 × 10−3 |
| mtDNA-Range | K | 6430 | 6067 | 4735–8322 |
| mtDNA-Range | M | 3.82 × 10−3 | 3.19 × 10−3 | 1.52 × 10−3–6.80 × 10−3 |
| (b) | |||
|---|---|---|---|
| Dataset | EC only | SE + GC | EC + GC + SW |
| MSAT-Pop | 0.943 | 0.036 | 0.022 |
| mtDNA-Pop | 0.575 | 0.047 | 0.379 |
| mtDNA-Range | 0.939 | 0.04 | 0.021 |
All analyses used the neural net method and a tolerance level of 0.05. (a) Demographic parameter estimates; (b) Refugial model selection. Refugial models with highest posterior probability are indicated in bold