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Abstract:
We used an extensive dataset of GPS-collared adult Svalbard reindeer females (2009–2018; N = 268 individual-years) to model summer and winter habitat selection as a function of remotely sensed environmental variables, and subsequently built habitat suitability models using an ensemble modelling framework. The predictor variables used in the final ensemble models were total biomass, curvature, elevation, distance from bird cliff, NDVI, slope, vegetation type and ruggedness. The raster values in the final winter (mean_winter9vars) and summer (mean_summer9vars) habitat suitability maps range from 0-1 where values close to 0 indicate low habitat suitability and values closer to 1 indicate high habitat suitability. The spatial resolution for both maps is 30 m. The raster layers are provided with the coordinate system UTM 33N WGS 84 (CRS: 32633). For more information see Pedersen et al. (2023).
Å.Ø. Pedersen, E.M. Soininen, B.B. Hansen, M. Le Moullec, L.E. Loe, I.M.G. Paulsen, I. Eischeid, S.R. Karlsen, E. Ropstad, A. Stien, A. Tarroux,H. Tømmervik, and V. Ravolainen. 2023. High seasonal overlap in habitat suitability in a non-migratory High Arctic ungulate. Global Ecology and Conservation 45: e02528. DOI: 10.1016/j.gecco.2023.e02528