Table 5.
Mixed effect models fitted to test the effect of environmental factors (fixed factors) in determining different estimates of genetic diversity across populations.
| Response variable | Tested model | P-value Bonferroni (LRT) | β [CI] | Lambda () | DF | mAIC |
|---|---|---|---|---|---|---|
| Ho | ||||||
| Model1 | Ho ∼ Tmin + (1|longitude + latitude) | <0.05 | 0.009 [0.00004, 0.02] | 0.004 | 4.3 | -8.8 |
| Null Model | Ho ∼ 1 + (1|longitude + latitude) | -6.9 | ||||
| He | ||||||
| Model2 | He ∼ Tmin + (1|longitude + latitude) | <0.05 | 0.004 [0.001, 0.07] | 0.002 | 6.1 | -26.1 |
| Null Model | He ∼ 1 + (1|longitude + latitude) | -16.5 | ||||
| A | ||||||
| Model3 | A ∼ Tmin2 + (1|longitude + latitude) | <0.001 | -0.0003 [-0.0004, -0.0002] | 0.24 | 4.6 | 5.6 |
| Null Model | A ∼ 1 + (1|longitude + latitude) | 19.7 | ||||
The spatial location of each population is accommodated as a random factor. For each model the P-values of an associated likelihood ratio test (LRT) analyze the effect of a given factor after applying the Bonferroni correction. Ho, observed heterozygosity; He, expected heterozygosity; A, mean allelic richness per locus (average number of alleles per locus); Tmin, annual minimum temperature; β, model estimator; CI, confidence interval; DF, degrees of freedom; lambda, dispersion parameter; mAIC, Akaike information criteria value.