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.