| dc.description.abstract | The development of equations to predict tree height, crown diameter, crown depth from stem diameter of a tree species
enables arborists, researchers, and urban forest managers to model costs and benefits, analyze alternative management
scenarios, and determine the best management practices for sustainable forests. The objective of this study was to
develop regression prediction models for tree age, tree height, crown diameter, crown ratio and crown depth for A.
senegal growing in Ferlo, in the northern Senegal. Four plantations of different years old (ISRA, 10 years old plant ations, Ndodj, 8 years old plantations, Boulal, 5 years old plantations and Déali, 4 years old plantations) were selected.
The following dendometric variables: crown height, crown diameter, stem diameter at the breast height, stem basal
diameter (at 0.30 m) and the height from the tree base to first branch were measured on a total of 489 trees. The results
suggested that the ecological structure of the different year old A. Senegal plantation revealed a bell-shaped form with
left dissymmetric distribution indicating a predominance of individuals with small diameter at breast height. Allometry
study of A. Senegal showed highly significant positive correlations (p = 0.00) between stem diameter at breast height,
stem basal diameter, tree height, crown diameter and crown depth. Positive correlations were also found between crown
diameter, tree height and crown height. Prediction models derived from these relationships can be used to estimate the
tree height, stem diameter at breast height and crown depth from crown diameter with greater precision. As for A.
Senegal age estimation, the established model is not strong as it can explain only 49.1% of the age variation. | en_US |
