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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