Data custodians for additional koala records: Victorian Department of Environment and Primary Industries, Queensland Department of Environment and Heritage Protection, and NSW Office of Environment and Heritage. We thank the Victorian Life Sciences Initiative (VLSCI) for providing access to high-performance computing facilities essential to this study. We also thank Warren Porter, Kath Handasyde and Andrew Krockenberger for their help developing the Niche Mapper koala model, Jane Elith for advice on Maxent, David Karoly for advice on generating future daily climate layers, and our editor and three anonymous referees for helpful comments on the manuscript. NJB was supported by NERP Environmental Decisions Hub, MRK was supported by an Australian Research Council grant (DP110102813), BAW was supported by an ARC Future Fellowship (FT100100819).
School of BioSciences, University of Melbourne, Melbourne, VIC, Australia; Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, VIC, Australia
Recommended Citation:
Briscoe N.J.,Kearney M.R.,Taylor C.A.,et al. Unpacking the mechanisms captured by a correlative species distribution model to improve predictions of climate refugia[J]. Global Change Biology,2016-01-01,22(7)