Risk response towards roads is consistent across multiple species in a temperate forest ecosystem

Roads can have diverse impacts on wildlife species, and while some species may adapt effectively, others may not. Studying multiple species’ responses to the same infrastructure in a given area can help understand this variation and reveal the effects of disturbance on the ecology of wildlife communities. This study investigates the behavioural responses of four species with distinctive ecological and behavioural traits to roads in the protected Bohemian Forest Ecosystem in Central Europe: European roe deer (Capreolus capreolus), a solitary herbivore; red deer (Cervus elaphus) a gregarious herbivore; wild boar (Sus scrofa), a gregarious omnivore and Eurasian lynx (Lynx lynx), a solitary large carnivore. We used GPS data gathered from each species to study movement behaviour and habitat selection in relation to roads using an integrated step selection analysis. For all species and sexes, we predicted increased movement rates in response to roads, selection of vegetation cover near roads ..., The locational data were collected from GPS-collared roe deer, red deer, wild boar and lynx in the Bohemian Forest Ecosystem (Germany and Czech Republic). The data were processed as described in detail in the Materials and Methods section of the article \"Risk response towards roads is consistent across multiple species in a temperate forest ecosystem\"., , # Risk response towards roads is consistent across multiple species in a temperate forest ecosystem

[https://doi.org/10.5061/dryad.3xsj3txp9](https://doi.org/10.5061/dryad.3xsj3txp9)

Datasets contain the calculated animals' steps (i.e. trajectory between two consecutive GPS locations) derived from roe deer, red deer, wild boar and lynx GPS data. These datasets were used to perform integrated step selection analysis to investigate the movement behaviour and habitat selection of each species in relation to roads.
Each species is divided into females and males except for lynx data, which are divided into fine (one GPS fix per hour) and coarse (two GPS fixes per day) scale datasets.
The meaning of each column in the dataset can be found in the related article and the README file.

## Description of the data and file structure

All datasets are provided as R objects (.rds) that can be directly loaded in R (see R scripts). Each dataset contains the following columns:

* id (numeric) ->...