Data from: A landscape of coexistence for a large predator in a human dominated landscape ...

• Main Authors: Gehr, Benedikt, Hofer, Elizabeth J., Muff, Stefanie, Ryser, Andreas, Vimercati, Eric, Vogt, Kristina, Keller, Lukas F.
• Format: Dataset
• Language: English
• Published: Dryad 2017
• Subjects: step selection; risk avoidance; Eurasian lynx; Lynx lynx; Capreolus capreolus; Lynx; Lynx lynx lynx
• Online Access: https://dx.doi.org/10.5061/dryad.h35fj; https://datadryad.org/stash/dataset/doi:10.5061/dryad.h35fj

Human related mortality is a major threat for large carnivores all over the world and there is increasing evidence that large predators respond to human related risks in a similar way as prey respond to predation risk. This insight recently led to the conceptual development of a landscape of coexistence that can be used to identify areas which can sustain large predator populations in human dominated landscapes. In this study we applied the landscape of coexistence concept to a large predator in Europe. We investigated to what extent Eurasian lynx (Lynx lynx) habitat selection is affected by human disturbance in a human dominated landscape. More specifically, we were interested in the existence of a tradeoff between the availability of roe deer, one of their main prey and avoidance of human disturbance and how this affects the spatio-temporal space use patterns of lynx. We found that lynx face a tradeoff between high prey availability and avoidance of human disturbance and that they respond to this by using ... : deer_data This table contains the GPS locations of roe deer associated with habitat variables and temporal variables that were used to build a habitat model (RSF) for roe deer. The table is divided into used (actual) deer locations and random locations (loc_id=NA) in a ratio of 1:10 (column "use"). The table also includes an animal id. Swisstopo in the column headers refers to the source of the environmental variables. Cover swisstopo is a dummy variable for open/cover. Slope_sq and altitude_sq are the squared slope and altitude variables. Aspect swisstopoS is the southern exposition. Hum_indx is a composite of road_dist and house density. The 8 temporal variables are time harmonics of a Fourier transform for time of day (tsin, tcos, tsin2, tcos2; period of 24) and day of year(ytsin, ytcos, ytsin2, ytcos2; period of 365) All continuous variables in this table are mean centered and standardized to a SD=1. For information on the raw data or for R-code used to run the models please contact the data owner. ...