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Table 2 Parameter estimates for the landscape model that also includes kernel estimates from red deer home ranges. The model predicts the numbers of ticks caught in May, representing winter and resident home ranges, with the flagging method between the years 2009 and 2013. Baseline is the study area in Sogn & Fjordane County (intercept) and the land resource category “agricultural pastures”. Møre & Romsdal County is reported as the deviation from the baseline (Sogn & Fjordane). Estimates are averaged over all 400 estimates from the bootstrap analysis

From: The influence of red deer space use on the distribution of Ixodes ricinus ticks in the landscape

Parameter

Estimate

Standard error

Z

P

Intercept

2.2

0.51

4.3

< 0.001

Northness

-0.21

0.050

-4.3

< 0.001

Slope

0.36

0.046

7.8

< 0.001

Elevation

0.015

0.076

0.20

0.73

Elevation2

-0.079

0.051

-1.6

0.14

Distance to fjord

-1.1

0.17

-6.6

< 0.001

Coniferous forest

0.067

0.17

0.40

0.63

Deciduous forest

0.49

0.16

3.0

0.020

Mixed forest

0.53

0.35

1.5

0.15

Unclassified forest

1.1

0.27

3.9

< 0.001

Marshes

-1.3

0.49

-2.6

0.016

Without forest

-0.043

0.26

-0.17

0.66

Kernel

-0.21

0.066

-3.2

0.012

Years between

-0.30

0.074

-4.1

< 0.001

Home range size

-0.15

0.072

-2.1

0.062

Study area (MR vs SF)

-0.50

0.45

-1.1

0.27

  1. Land resource categories have the following factor levels in addition to the intercept: coniferous forest, deciduous forest, mixed forest, unclassified forest, marshes and natural vegetation without forests (without forest). Estimates are derived from standardised covariates. Note that this is a subset of data used in Table 1. Note also that high kernel values indicate that an area is used less frequently by red deer