Table 5.

Percent correct inferences observed in simulated data for each parameter combination (25 replicates in each case) and for each generation time. At t = 0, we consider the inference to be correct if no boundary has been detected. For all the other generation times, inferences are correct if the two main boundaries to gene flow have been detected (i.e., K = 4). μ reflects mutation rate, δ average dispersal distances, b boundary permeability (i.e., gene flow across the boundary). The mean number of clusters (averaged over replicates) estimated by Bayesian clustering methods are reported in brackets.

Parameter combination	Generation after barrier imposed	Monmonier	WOMBSOFT	TESS	TESS admixture	GENELAND	BAPS5
μ = 0.0001	0	0	0	0 [5.4]	0 [5.2]	0 [2.0]	0 [6.0]
δ = 1	100	0	0	0 [5.2]	0 [4.8]	0 [5.2]	0 [6.0]
b = 0	500	36	0	72 [4.3]	4 [4.6]	0 [5.2]	0 [6.0]
	1000	68	8	84 [4.2]	52 [4.1]	4 [5.1]	0 [6.0]
	3000	96	20	100 [4.0]	100 [4.0]	60 [4.5]	0 [5.9]
	5000	100	24	100 [4.0]	92 [4.0]	88 [4.1]	0 [5.9]
μ = 0.000025	0	0	0	0 [5.4]	0 [4.9]	4 [5.0]	0 [6.0]
δ = 1	100	0	0	0 [5.5]	0 [4.6]	0 [5.0]	0 [6.0]
b = 0	500	4	0	36 [4.7]	0 [4.6]	0 [5.2]	0 [5.9]
	1000	8	0	68 [4.3]	12 [4.3]	0 [5.6]	12 [5.6]
	3000	40	28	100 [4.0]	60 [4.1]	48 [4.7]	16 [5.2]
	5000	68	40	100 [4.0]	80 [4.0]	68 [4.4]	64 [4.5]
μ = 0.0001	0	0	0	100 [1.0]	0 [3.5]	100 [1.0]	100 [1.0]
δ = 11	100	0	0	0 [2.6]	0 [3.9]	100 [4.0]	0 [1.0]
b = 0	500	36	32	100 [4.0]	4 [4.0]	100 [4.0]	100 [4.0]
	1000	60	72	100 [4.0]	32 [4.0]	100 [4.0]	100 [4.0]
	3000	96	92	100 [4.0]	92 [4.0]	100 [4.0]	100 [4.0]
	5000	100	88	100 [4.0]	96 [4.0]	100 [4.0]	100 [4.0]
μ = 0.000025	0	0	0	100 [1.0]	0 [3.6]	100 [1.0]	100 [1.0]
δ = 11	100	0	0	0 [1.4]	0 [3.8]	96 [4.0]	0 [1.0]
b = 0	500	0	0	56 [4.0]	0 [4.0]	100 [4.0]	44 [4.0]
	1000	0	24	88 [4.0]	4 [4.0]	100 [4.0]	96 [4.0]
	3000	40	92	100 [4.0]	40 [4.1]	100 [4.0]	100 [4.0]
	5000	64	100	100 [4.0]	80 [4.0]	100 [4.0]	100 [4.0]
Mean % (b = 0)		27.20	20.67	56.80	24.93	68.93	37.73
μ= 0.0001	0	0	0	100 [1.0]	0 [2.4]	100 [1.0]	100 [1.0]
δ = 11	100	0	0	0 [1.0]	0 [2.3]	100 [4.0]	0 [1.0]
b = 0.03	500	0	0	0 [1.9]	0 [2.3]	100 [4.0]	0 [1.0]
	1000	0	0	0 [1.9]	0 [2.4]	100 [4.0]	0 [1.0]
	3000	0	0	0 [2.0]	0 [2.6]	100 [4.0]	0 [1.0]
	5000	0	0	0 [2.0]	0 [2.9]	100 [4.0]	0 [1.0]
Overall Mean %		34.00	25.83	66.83	31.16	61.17	43.00