Evaluation of structure in Pinus halepensis M. stands in North Greece
- D. Karamanolis
- G. Stamatelos
- P. Gkanatsas
Abstract
The Principal Component Analysis (P.C.A.) is a multivariate technique useful in the description and the revealing of relations between variables in a great number of data. The structure of Pinus halepensis forests by P.C.A. was studied. The method was applied in silvicultural data of Pinus halepensis forests in Kassandra Peninsula. Sampling was done on 49 plots spreaded over of the peninsula. By the analysis of a total of 12 initial variables it was found that the first 6 principal components, new variables, interpret almost 83% of the total variance. It was also found that the first component, which explains 29.6%, affects the configuration of stand structure.
How to Cite:
Karamanolis, D. & Stamatelos, G. & Gkanatsas, P., (1997) “Evaluation of structure in Pinus halepensis M. stands in North Greece”, Silva Gandavensis 62. doi: https://doi.org/10.21825/sg.v62i0.849
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