Skip to main content
. 2018 Apr 25;13(4):e0195603. doi: 10.1371/journal.pone.0195603

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.