Dima Shareef *(1), Wael Ali(1) , and Wala’a Adra(1)
(1). Forestry and Environment Department, Faculty of Agriculture, Tishreen University, Syria.
(*Corresponding author: Dima SHareef. E-Mail: dimashareef147@gmail.com)
Received: 11/06/2021 Accepted: 14/10/ 2021
Abstract:
This research aims to construct some mathematical equations, used for estimating the total height of pinus brutia trees(pinus brutia). Some statistical methods were done to assess model goodness then select the best one to estimate the height of brutia pine trees in Balloran, 40 kilometers north of Lattakia . This will enable us to estimate woody stock and in turn helping in forest management of the site. 20 circular plots with a radius of 11.3 meter were sampled. All variations in the study area were taken into account. Diameter on breast height dbh of all trees in plots were measured. In order to construct height curves 30 tees covering diameter range were selected and there diameters and heights were also measured. Where 15 trees were used to construct models of height curves and determine the constants, and another 15 trees were used to test the quality of the models. For tree height modelling several mathematical equations were used:. Michailoff, Prodan, Petterson, Parabel, Logarithmic, Freese and Korsun. Tthe models were quantitatively examined by calculating average model bias (ē) which tests the systematic deviation of the model from the observations, average model bias % or relative bias (ē %), model precision which is defined as the standard deviation of the bias (Se and Se%), model accuracy which describes the distribution of the total differences between predicted and observed values (mx and mx %). Logarithmic model was selected for tree height modelingof brutia pine in the area of study. The future studies can be based on the current work in order to help in forest management of the site of study and similar areas.
Keywords: Height curves, pinus brutia– Model goodness, basal area –baloran region.
Full paper in Arabic: pdf