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) ->...道路对野生动物类群会产生多样的影响，部分物种能够有效适应这类干扰，而另一些物种则难以适应。在特定区域内，针对同一基础设施开展多物种响应研究，有助于理解这种适应性差异，并揭示道路干扰对野生动物群落生态的影响。 本研究聚焦中欧受保护的波希米亚森林生态系统，调查了四种具备独特生态与行为特征的物种对道路的行为响应：欧洲狍（Capreolus capreolus），独居植食性动物；马鹿（Cervus elaphus），群居植食性动物；野猪（Sus scrofa），群居杂食性动物；以及欧亚猞猁（Lynx lynx），独居大型食肉动物。我们利用各物种的全球定位系统（GPS）数据，通过整合步长选择分析（integrated step selection analysis），探究物种的移动行为与道路相关的生境选择。我们预测，针对道路干扰，所有物种及不同性别的个体均会提升移动速率，并偏好道路周边的植被覆盖…… 本研究的定位数据采集自佩戴GPS项圈的欧洲狍、马鹿、野猪与欧亚猞猁，采集区域为波希米亚森林生态系统（覆盖德国与捷克共和国）。数据处理流程详见论文《温带森林生态系统中多物种对道路的风险响应具有一致性》（Risk response towards roads is consistent across multiple species in a temperate forest ecosystem）的材料与方法部分。 # 《温带森林生态系统中多物种对道路的风险响应具有一致性》 https://doi.org/10.5061/dryad.3xsj3txp9 本数据集包含从欧洲狍、马鹿、野猪及欧亚猞猁的GPS数据中提取得到的计算所得动物移动步长（即两次连续GPS定位点之间的轨迹）数据集。上述数据集被用于开展整合步长选择分析，以探究各物种相对于道路的移动行为与生境选择模式。 除欧亚猞猁数据集外，其余物种的数据集均按雌性与雄性个体进行划分；而欧亚猞猁数据集则分为精细尺度（每小时获取1个GPS定位点）与粗糙尺度（每日获取2个GPS定位点）两类数据集。 数据集各列的含义可参阅相关论文及README文件。 ## 数据与文件结构说明 所有数据集均以R对象格式（.rds）提供，可直接在R语言环境中加载（详见配套R脚本）。每个数据集包含以下列： * id（数值型）->……