Abstract

The ecological system of forests is diverse and complex. To obtain information in this field, admissible parameters for characterisation and evaluation is required for research strategies. To gain more knowledge about this topic, useful biostatistics and multivariate statistical analyses were to be developed and applied. In current research, detail of minerals and enzyme activities were investigated plus correlation between them. Adult trees ofQuercus brantii were selected in oak forests at 2300 m above sea level. In months of March, May, July, September, November and January, sampling was done from twigs and leaves. The content of Ca, Cu, Fe, K, Mg, Mn, Na and activity of CAT and POD were estimated in samples. Factor analysis showed enzyme activities as basal principle in adaptation of twigs and leaves, also some relation were observed between macro nutrients as other affective principles in photosynthesis. Between investigated micro nutrients, Fe had important role in twigs. Cluster analysis using standardized k-means algorithm indicated seasonal clusters in separate positions by two markers. Clusters were similar in separate seasons.

Key words: Clustering, enzyme, nutrients, multivariate statistical analyses, oak, season.

Abbreviation

Ca, Calcium; Cu, copper; Fe, iron; K, potassium; Mg, magnesium; Mn,manganese; Na, sodium; CAT, catalase; POD, peroxidase.