Skip to main content

Table 2 The variables, parameter estimates (β), standard errors (SE), z-values and p-values for two negative binomial generalized linear models of the count of questing and feeding ticks collected in southwestern Quebec, 2007-2008

From: Does high biodiversity reduce the risk of Lyme disease invasion?

Model Outcome Explanatory variables β SE z-value p-value
Model 1 Count of questing larvae Year (2008 vs 2007) 2.18 0.97 2.25 0.02
Litter depth   0.39 0.13 3.01 < 0.01
Temperature   0.01 0.01 2.65 < 0.01
Deer density   0.92 0.16 5.83 < 0.01
Model 2 Count of questing nymphs Year (2008 vs 2007) 1.72 0.55 3.15 < 0.01
Litter depth   0.22 0.07 3.04 < 0.01
Temperature   0.01 0.00 2.41 0.02
Model 3 Count of feeding larvae Proportion of trapped mammals that were Peromyscus spp. 1.98 0.99 1.99 0.05
Site gradient   −1.68 0.55 −3.05 < 0.01
Drainage   0.11 0.04 2.68 < 0.01
Height of mature trees 0.42 0.21 2.06 < 0.01
Temperature   1.46 0.43 3.42 < 0.01
Deer density   1.10 0.23 4.80 < 0.01
Model 4 Count of feeding nymphs Year (2008 vs 2007) 1.05 0.01 10.75 < 0.01
Season (Summer vs spring) −0.50 0.12 4.31 < 0.01
Species richness of rodents −0.18 0.05 −3.49 < 0.01
Site gradient   −0.69 0.09 −8.19 < 0.01
Species richness of mature trees −0.04 0.02 −2.49 0.01
Density of mature trees −0.33 0.08 −4.34 < 0.01
Temperature   0.33 0.10 3.25 < 0.01