Iterative Method of Discriminant Analysis to Classify Beech (Fagus sylvatica L.) Forest

We present a new method for the classification of beech (Fagus sylvatica L.) forest plots based on discriminant and frequency analysis. This can be used as tool to allow experts stratify forests in simple precise way. The is analysis with cross-validation 13 variables measured 142 from 2005 Second National Forest Inventory 63 an inventory installed specific locations together qualifying variables. In first stage, uses results fitted iterative that allows improving subsequent classifications taking into account correctly- wrong-classified plots. applied Burgos (Spain) where six structural groups were described. functions show structure depends basically diameter distribution almost 94% are correctly classified using this methodology. high level assigned indicates accurate only at breast height measurement.