Table 3.
Input parameters used for Bayesian clustering methods, WOMBSOFT and Monmonier’s algorithm (AIS) in our application.
| Input parameter | Simulations | Puma | Rhododendron | |
|---|---|---|---|---|
| BAPS5 | *K | 1–6 | 1–8 | 1–10 |
| Number of replications | 10 | 10 | 10 | |
| TESS | *K | 1–6 | 1–7 | 1–7 |
| **Psi: | 0–0.6 | 0.6–1 | 0.6–1 | |
| Number of Sweeps | 10,000 | 100,000 | 100,000 | |
| Number of burnin period | 2000 | 10,000 | 10,000 | |
| Number of runs | 10 | 10 | 10 | |
| Admixture parameter | †Yes and no | Yes and no | Yes and no | |
| GENELAND | *K | 1–6 | 1–7 | 1–7 |
| Number of iterations | 50,000 | 100,000 | 100,000 | |
| Thinning | 10 | 10 | 10 | |
| Number of replications | 10 | 10 | 10 | |
| Allele frequencies | Correlated | Correlated | Correlated | |
| WOMBSOFT | Resolution of the grid | 100 × 100 | 100 × 100 | 34 × 16 |
| Bandwidth | 7 | 70 km | 30 km | |
| Binomial threshold | 0.3 | 0.3 | 0.3 | |
| Statistical significance of the binomial test | 0.05 | 0.01 | 0.05 | |
| Monmonier’s algorithm | Genetic distances were specified | Residual | Raw and residuals | Raw and residuals |
| Number of barriers to be identified. | 4 | 1–7 | 1–7 | |
*
K: maximal number of clusters.
**
Psi: the interaction parameter of TESS can be interpreted as the intensity with which two neighbors belong to the same clusters. The higher the value of psi is the more likely the population may consists of a unique cluster with a high level of genetic continuity.
†
Admixture model was used although we know that our data have no admixture.