Dear Bipana,
I have answers for your questions no. (1) and (3).
(1) Collinearity is typically calculated for the reference period
("present"). It is not a problem, if non-correlated/non-collinear
variables became correlated/collinear in the future. Therefore,
there is no need to study future multicollinearity.
(3) There are two options:
- you use only those variables for the model training that are
updated for the future period or are known to be static/unchanged
- you use all variables that are available for the reference period,
you update some of them for the future (e.g. climate), and write
some sentences in your manuscript's Discussion or Methods section
about the limited availability of future data for the other
variables (eg. population density) and discuss the uncertainty of
your future predictions caused by this.
Have a nice week,
Ákos
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Ákos Bede-Fazekas
Centre for Ecological Research, Hungary