Table 1 Environmental variables (meteorological, land cover, topography, and bioclimatic variables) used to explain I. ricinus nymph counts per 100 m2 in regression analysis.

From: Meteorological and climatic variables predict the phenology of Ixodes ricinus nymph activity in France, accounting for habitat heterogeneity

Type

Group

Variable

Description

Meteorological

Temperature

\({T}_{M}^{0:1}\)

One-month moving average temperature; average temperature from 30 preceding days to the sampling day (°C)

\({T}_{M}^{3:6}\)

Previous 3-to-6-month moving average temperature; average mean temperature of preceding 3–6 months (°C)

\({T}_{M}^{0:6}\)

Six-month moving average mean temperature; between 6 preceding months to the sampling day (°C)

\({T}_{M}^{0:12}\)

Twelve-month moving average mean temperature; between 12 preceding months to the sampling day (°C)

Relative humidity

\({U}_{N}^{0:1}\)

One-month moving average minimum relative humidity; average value from 30 preceding days to the sampling day (%)

\({U}_{N}^{3:6}\)

Previous 3-to-6-month moving minimum relative humidity of preceding 3–6 months (%)

\({U}_{N}^{0:6}\)

Six-month moving average minimum relative humidity; between 6 preceding months to the sampling day (%)

\({U}_{N}^{0:12}\)

12-month moving average minimum relative humidity; between 12 preceding months to the sampling day (%)

Daytime

\(Daytime\)

Daytime duration (h)

Land cover, topography, and bioclimatea

Topography

\({Mean}_{elv}\)

Mean elevation (m)

\({sd}_{elv}\)

Standard deviation of elevation (m)

\({p}_{flat}\)

Proportion of flat area; slope ≤ 2.5%

\({p}_{north}\)

Proportion of non-flat area facing north; aspect < 45° or ≥ 315°

\({p}_{east}\)

Proportion of non-flat area facing east; 45° ≤ aspect < 135°

\({p}_{west}\)

Proportion of non-flat area facing west; 135° ≤ aspect < 225°

\({p}_{south}\)

Proportion of non-flat area facing south; 225° ≤ aspect < 315°

\(Catchment\)

Catchment area

Bioclimate

\({BIO1}_{temp}\)

Annual mean temperature (°C)

\({BIO2}_{diur}\)

Mean diurnal range (°C)

\({BIO5}_{maxTemp}\)

Maximum temperature of the hottest month (°C)

\({BIO12}_{prec}\)

Annual precipitation (mm)

Land cover

\({H}_{CLC1}\)

Shannon’s diversity index for level-1 CLC types

\({H}_{CLC2}\)

Shannon’s diversity index for level-2 CLC types

\({H}_{Forest}\)

Shannon’s diversity index for forest types

\({p}_{Forest}\)

Percentage of forest-covering area (%)

\({n}_{Forest}\)

Number of forest patches

\({ED}_{Forest}\)

Forest edge density (m/km2)

Soil

\({pH}_{soil}\)

Soil pH

  1. aLand cover, topography, and bioclimatic variables were transformed by the principal component analysis as coordinates of PCA dimensions before being used in the regression analysis.