Table 6. Model-averaged estimates of predictor variables in order of effect size based on the best linear models in explaining calving synchrony of a semi-domesticated reindeer population in relation to climatic variability in Finnish Lapland.

Variable	Estimate	Unconditional SE	Number of models	Relative importance	95% CI
Females’ BCI	0.97	1.02	5	1.00	-1.08, 3.02
Proportion of males	-0.76	0.98	5	1.00	-2.73, 1.21
Mean T° in Jan	2.13	0.89	3	0.70	0.34, 3.93
Mean T° in Jan X Females’ BCI	1.97	0.88	3	0.70	0.19, 3.76
Cumulative SDI Oct-Nov	-2.06	0.83	1	0.34	-3.75, -0.37
Number of days when mean T° > 0°C in Oct-Nov	2.23	0.87	2	0.30	0.46, 4.00
Precipitation in June	-1.77	0.89	2	0.29	-3.58, 0.03
SDI in Nov	-1.91	0.84	1	0.21	-3.62, -0.21
Number of days when mean T° < -10°C in Dec	-1.93	0.98	1	0.16	-3.93, 0.06

The parameter estimates are standardized effect sizes and are therefore on a comparable scale. “Number of models” is the number of models (out of the five best models in Table 5) including that particular variable. The variables in bold text were assumed important in explaining calving synchrony since their 95% CI excluded the value 0. The symbol “X” stands for “interaction”.