| Linkage Diseq. | Temporal (MLNE) | Temporal (TM3) | Mean NC |
95% HPD
|
---|
 | (LDNe) | (Likelihood) | (Bayesian) |
---|
 | Mean NE |
(95% CI)
| Mean NE |
(95% CI)
| Mean NE |
(95% CI)
| Â | Â |
---|
Clusters 3 & 4 | 310 | (258–380) | 243 | (181–327) | 240 | (223–250) | 4121 | (2422–6109) |
Cluster 2 | 121 | (88–180) | 45 | (35–61) | 33 | (22–47) | 1199 | (470–2191) |
Cluster 1 | 157 | (98–326) | 212 | (106–611) | 178 | (105–285) | 1299 | (412–2621) |
 |
N
E
/N
C
|
σ (km)
|
σ (km)
|
σ
2
(km
2
)
|
m
|
W
N
| Â | Â |
(1D)
|
(2D)
|
(2D)
|
(2D)
|
(2D)
| Â | Â |
Based on LDNe estimates
| Â | Â |
Clusters 3 & 4 | 0.075 | 15.16 | 14.14 | 200.06 | 0.033 | 64 | Â | Â |
Cluster 2 | 0.101 | 4.53 | 3.59 | 12.92 | 0.025 | 19 | Â | Â |
Cluster 1 | 0.121 |
3.94
|
2.49
|
6.21
|
0.013
|
13
| Â | Â |
- Estimates were computed for clusters 1, 2 and the group comprising clusters 3 and 4. Effective population size (NE) was computed using both a linkage disequilibrium method (in LDNe) and two temporal methods (a likelihood approach implemented in MLNE and a Bayesian approach implemented in TM3). Mean NE and parametric 95% confidence intervals are shown. Census size (NC) was computed using a sequential Bayesian method [51]. Mean NC and 95% highest probability density (HPD) intervals are shown. Dispersal distance (σ) was estimated using both a one-dimensional (1D) (FST/(1-FST) ~ a + b GD; GD = geographic distance in kilometers) and a two-dimensional (2D) (FST/(1-FST) ~ a + b ln(GD); ln(GD) = log of geographic distance) isolation-by-distance model. Dispersal surface (σ2), migration (m) and Wright’s neighborhood size (WN) estimates from the 2D model are also reported. σ, σ2, m and WN in cluster 1 were only computed for female individuals (the model was not significant when males were considered) and are shown in italic type.