Table 4. Model-averaged estimates of predictor variables in order of effect size based on the best models in explaining calving date of a semi-domesticated reindeer population in relation to climatic variability in Finnish Lapland.

Variable	Estimate	Unconditional SE	Nbr models	Relative importance	95% CI
Females’ BCI	-1.77	0.19	3	1.00	-2.12, -1.39
Proportion of males	-1.47	0.28	3	1.00	-2.02, -0.91
Precipitation in April	0.93	0.41	2	0.77	0.12, 1.73
Mean T° in May	-1.14	0.43	2	0.63	-1.97, -0.30
Mean T° in April-May	-1.14	0.45	1	0.37	-2.03, -0.26
SDI in April	0.89	0.43	1	0.23	0.03, 1.74

All the competing models were linear mixed-effect models with calving date as our response variable and included Year and individual identity as random factors. The parameter estimates are standardized effect sizes and are therefore on a comparable scale. “Nbr models” is the number of models (out of the three best models in Table 3) including that variable.