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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