Hi Megan,
This paper (located here) was a huge help for me in understanding how collinearity might affect my model. It's important to assess collinearity while keeping in mind which variables are biologically important for your species, like what you said about groupings of environmental variables. In reading several papers on the topic, it seems that too many intercorrelated variables can influence the outcome of the model, which would include the map of the current distribution. I used ENMTools to determine which of my WorldClim variables were highly correlated.
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After the 0.7 criterion you have to see the biological importance for the studied specirs
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Hmmm.... try 3 models. One with both and 2 with each one.. the trial n error has to be used