highly significantp = 0.011993
The GLMM also showed that habitat had a highly significant positive influence on Borrelia prevalence in the spring ( p = 0.011993), while in summer there was no influence of habitat (Table 2 ).
The GLMM also showed that habitat had a highly significant positive influence on Borrelia prevalence in the spring ( p = 0.011993), while in summer there was no influence of habitat (Table 2 ).
Of the 11 candidate predictors for tick density (see Table S2), only four ( H predators, shrub cover, H small mammals, RAI larger non-predatory mammals; see Table 5 ) were retained in the conditional average model, of which only one was statistically significant ( H predators), while another (shrub cover) showed a trend indicating that it had explanatory significance in predicting tick density.