“…Rigorous modeling methods already exist for analyzing multidimensional data, addressing multicollinearity, testing for variable importance, estimating response curves, associating response variables with multiple predictors, and mitigating or at least understanding effects of sample size and sample bias (Braunisch et al, 2013;Elith and Franklin, 2013;Elith and Leathwick, 2009;Franklin, 2010a). Methods are also being developed to help identify non--analog environments -combinations of different climate and other variables that did not occur in a different time period -in order to identify where and why model projections may be highly uncertain (Elith et al, 2010;Fitzpatrick and Hargrove, 2009;Mesgaran et al, 2014).…”