Table 4.

Number of times that a declining population trend was correctly identified out of 100 replicate runs for LD-based analysis in NeEstimator under a declining population model (λ = 0.9)

		t 0–t 5			t 0–t 10			t 0–t 15			t 0–t 20
		(&P crit level)			(&P crit level)			(&P crit level)			(&P crit level)
		0.01	0.02	0.05	0.01	0.02	0.05	0.01	0.02	0.05	0.01	0.02	0.05
N = 250	n = 15	49	49	68	63	63	83	71	71	95	72	72	99
	n = 30	86	79	79	99	94	93	100	100	100	—	—	—
	n = 60	94	94	94	100	100	100	—	—	—	—	—	—
N = 500	n = 15	8	8	48	18	18	67	25	25	79	29	29	85
	n = 30	79	73	72	94	84	86	100	99	98	100	99	99
	n = 60	80	81	84	97	98	98	100	100	100	—	—	—
N = 1000	n = 15	0	0	35	0	0	40	2	2	53	2	2	64
	n = 30	57	65	66	70	80	79	76	91	91	78	97	97
	n = 60	71	73	74	96	95	96	100	100	100	100	100	100

Results are presented for increasing intervals of time and by the combination of population size (N), individual sampling level (n), and minor allele frequency cutoff (P _crit). Results are based on the analysis of data sets with 10% missing data.

For some parameter combinations, there were insufficient numbers of individuals for target n (—)