Table 2. List of the 29 outliers detected by DFDIST and BayeScan.

Outlier	DFDIST P-value	BayeScan posterior probability	Samβada
6	0.000	0.054	Hum, Sun
7	0.000	1.000
8	0.858	0.939	Prec, Sun, Lat
13	0.970	0.972
14	0.000	0.060
15	0.001	0.071
16	0.000	0.777
27	0.535	0.982	Hum, Sun, Lat
30	0.312	1.000	Hum, Sun, Tmean
35	0.000	0.057	Hum
55	0.000	0.057	Sun
59	0.810	1.000	Hum, Tmean, Sun
60	0.922	1.000	Tmean, Lat, Prec, Sun, Hum
63	0.781	0.953
73	0.000	0.785	Hum, Sun
80	0.559	0.082	Hum, Sun, Tmean, Prec
84	0.761	1.000	Hum Sun
91	0.784	1.000	Hum, Sun
93	0.000	0.104
109	0.966	1.000
110	0.875	1.000	Hum, Sun, Prec
123	0.005	0.642
126	0.989	0.992	Hum, Sun, Prec
161	0.000	0.138
162	0.000	0.059
179	0.000	0.665
205	0.002	0.784
220	0.001	0.510
224	0.002	1.000	Sun, Prec, Hum

For each outlier, values of posterior probability above 0.99 in bold are indicated. Numers of marker underlined are both detected by Samβada as outlier loci. Then the outliers were detected by spatial analysis method (Samβada), the climatic variables most strongly associated with locus are indicated.

Sun: annual sunshine, Lat: latitude, Hum: annual relative humidity, Prec: annual precipitation, T_mean: annual mean temperature.