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Table 1 Explanatory variables included in the habitat preference model derived from the combination of a land cover map (LCM), LiDAR, a digital elevation model (DEM), Copernicus Land Cover Services (CLCS), and OpenStreetMap data. Coniferous trees and Broadleaved trees covers were split into four variables according to the percentage of tree canopy cover (TCC) to differentiate forest closures. The Unsuitable areas variable is composed of three land cover classes (urban areas, water bodies, and bare soil) with very few lynx GPS locations

From: Deterministic, random, or in between? Inferring the randomness level of wildlife movements

Variables

Land cover class (regional LCM)

TCC (LiDAR)

Shrub canopy cover (LiDAR)

Slope (DEM)

Dominant Leaf type (CLCS)

Dataset

Unsuitable areas

Urban areas, water bodies, and bare soil

–

–

 

–

Regional Land Cover Map

Intensive crops

Irrigated herbaceous crops

–

–

 

–

Extensive crops

Dry herbaceous crops

–

–

 

–

Agroforestry

Agroforestry areas

> 25%

>  25%

 

–

Regional Land Cover Map, LiDAR

Lowland olive groves

Permanent woody crops

–

–

< 20%

–

Regional Land Cover Map, DEM

Mountain olive groves

–

–

> 20%

–

Grasslands and Pastures

Forest and Pastures

<  5%

<  5%

 

–

Regional Land Cover Map, LiDAR

Shrublands

<  5%

>  5%

 

–

Coniferous trees

Low TCC

5–25%

–

 

Coniferous

Regional Land Cover Map, LiDAR, CLCS

Low-intermediate TCC

26–50%

–

 

Intermediate-high TCC

51–75%

–

 

High TCC

>  75%

–

 

Broadleaved trees

Low TCC

5–25%

–

 

Broadleaved

Low-intermediate TCC

26–50%

–

 

Intermediate-high TCC

51–75%

–

 

High TCC

>  75%

–

 

High-traffic roads

–

–

–

 

–

Open Street Map

Low-traffic roads

–

–

–

 

–