Here's my two cents...PLS and all linear modeling methods I can think of standardize the predictor variables because it's generally a good idea for computational and interpretational reasons for things like parameter estimates, standard errors, and such. Since decision trees are a non linear modeling method, my sense is standardization doesn't provide many benefits so it's not generally practiced.
I'd love to read other's comments.
