This paper shows the results of the application of explorative statist
ical techniques to physiological data of spruce needles obtained in fi
eld studies. The data set was comprimed to six variables by principal-
component analysis. Based on this new data set the trees were classifi
ed by cluster analysis. The results were in good accordance with origi
nal interpretations of the data of single case studies based on compar
isons of physiological, aerochemical, and biochemical parameters. Clas
sification of the trees according to these reproducible and objective
algorithms allowed comparisons between different study areas. We found
that response patterns were similar in high altitudes, but more diffe
rent at valley sites of different locations.