. 2014 Aug 13;9(8):e103106. doi: 10.1371/journal.pone.0103106

Table 2. Results of the linear mixed-effects model fit by REML for predicting δ²H_f from ‘season’, ‘sex’ and ‘migratory behaviour’ with ‘sampling location’ as random effect.

Model parameter	Estimate	SE	t-value	P
(Intercept)	−126.8	9.84	−12.9	<0.001
Season	0.1	0.04	3.1	<0.003
Sex (Males)	3.1	1.30	2.4	<0.020
Migratory behaviour (Migrants)	−21.0	1.57	−13.4	<0.001

Degrees of freedom: 88; number of observations: 136; number of groups (random effect ‘sampling location’): 45. AIC = 947.5, BIC = 964.8, logLik −467.8; random intercept (mean 0, SD 6.36), and residual term (mean 0, SD 6.31) were normally distributed.

Table 2. Results of the linear mixed-effects model fit by REML for predicting δ2Hf from ‘season’, ‘sex’ and ‘migratory behaviour’ with ‘sampling location’ as random effect.

Table 2. Results of the linear mixed-effects model fit by REML for predicting δ²H_f from ‘season’, ‘sex’ and ‘migratory behaviour’ with ‘sampling location’ as random effect.