Why input matters: Selection of climate data sets for modelling the potential distribution of a treeline species in the Himalayan region

Why input matters: Selection of climate data sets for modelling the potential distribution of a... •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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecological Modelling Elsevier

Why input matters: Selection of climate data sets for modelling the potential distribution of a treeline species in the Himalayan region

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Publisher
Elsevier
Copyright
Copyright © 2017 Elsevier B.V.
ISSN
0304-3800
eISSN
1872-7026
D.O.I.
10.1016/j.ecolmodel.2017.05.021
Publisher site
See Article on Publisher Site

Abstract

•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.

Journal

Ecological ModellingElsevier

Published: Sep 10, 2017

References

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