TABLE 1.
Modal root state and posterior probability estimates resulting from different discrete Bayesian phylogeographic analyses applied to different data sets
| Sequencet | Method | Estimate for data seta: |
||||||
|---|---|---|---|---|---|---|---|---|
| Complete | Rand10A | Rand10B | Rand10C | Rand20A | Rand20B | Rand20C | ||
| pol | Symmetric-BSSVS | FLP (1.00) | SPL (0.99) | CTB (0.99) | RJN (0.99) | POA (0.99) | RIG (0.99) | RIG (0.99) |
| Symmetric | FLP (0.99) | CRI (0.99) | FLP (0.97) | CRI (0.97) | FLP (0.99) | FLP (0.98) | ITA (0.99) | |
| Asymmetric-BSSVS | FLP (1.00) | CRI (1.00) | FLP (0.99) | CTB (0.99) | ITA (1.00) | FLP (0.99) | POA (0.99) | |
| Asymmetric | FLP (0.99) | RJN (0.99) | FLP (0.99) | CTB (0.99) | ITA (1.00) | FLP (0.99) | FLP (0.99) | |
| env | Symmetric-BSSVS | FLP (0.97) | FLP (0.99) | POA (0.99) | POA (0.99) | FLP (0.99) | FLP (0.99) | CXS (0.99) |
| Symmetric | FLP (0.97) | FLP (0.99) | POA (0.99) | FLP (0.96) | FLP (0.99) | FLP (0.99) | CRI (0.99) | |
| Asymmetric-BSSVS | FLP (0.99) | CRI (0.99) | POA (0.99) | LAJ (0.99) | CRI (1.00) | POA (0.99) | FLP (1.00) | |
| Asymmetric | FLP (0.99) | BLU (0.99) | FLP (0.99) | CRI (0.69) | FLP (0.99) | CRA (0.99) | FLP (1.00) | |
a
Cities: BLU, Blumenau; CRI, Criciúma; CTB, Curitiba; CXS, Caxias do Sul; FLP, Florianópolis; ITA, Itajaí; LAJ, Lajeado; POA, Porto Alegre; RIG, Rio Grande; RJN, Rio de Janeiro.