Corrigendum to “Why input matters: Selection of climate data sets for modelling the potential distribution of a treeline species in the Himalayan region” [Ecol. Modell. 359 (2017) 92–102]

•Generalized Linear Models were used to model the potential distribution of Betula utilis in the Himalayan region.•Evaluation of predictive ability between climate data sets derived from different statistical methods.•Comparison of ‘interpolated’ (i.e. WORLDCLIM) and ‘quasi-mechanistical statistical downscaling’ (i.e. CHELSA) climate data.•Models based CHELSA climate data had higher predictive power, WORLDCLIM consistently overpredicted the potential habitat.•Unmindful usage of climatic variables for environmental niche models may potentially cause misleading projections.