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Table 3 Output of the NBGLM explaining nymph density from field data

From: Influence of climatic factors on Ixodes ricinus nymph abundance and phenology over a long-term monthly observation in Switzerland (2000–2014)

Coefficients

Estimate

SE

Z-value

P-value

Intercept

-3.99

0.88

-4.52

< 0.001

T

0.35

0.05

6.9

< 0.001

T2

-0.008

0.001

-5.82

< 0.001

RH

0.05

0.02

2.24

0.025

RH2

-0.0004

0.0002

-1.89

0.059

Ns (date, df = 6)1

3.45

0.51

6.71

< 0.001

Ns(date, df = 6)2

1.74

0.59

2.94

0.003

Ns(date, df = 6)3

-0.09

0.56

-0.16

0.87

Ns(date, df = 6)4

2.17

0.46

4.67

< 0.001

Ns(date, df = 6)5

2.28

0.93

2.44

0.015

Ns(date, df = 6)6

-2.58

0.59

-4.37

< 0.001

  1. Notes: Ns is natural cubic spline and df gives the degrees of freedom chosen to calculate the spline. One estimate is given for each climatic variable and each section of the spline (given by the df). Null deviance = 832.7 on 153 df, residual deviance = 159.4 on 143 df, number of nymph sampling = 173, 19 weather data were missing
  2. Abbreviation: SE standard error