Accurate measurement of Diameter at breast height (DBH) and estimates of total tree height are fundamental for the effectiveness of growth and yield models employed in forest management planning. The height and DBH play a crucial role in assessing various parameters such as forest growth, biomass, and stand volume. This study modeled tree growth characteristics (height and diameter) and tree slenderness coefficient (TSC) that could be adopted for the sustainable management of the plantation at Oluwa forest reserve. Individual and nonlinear Height-Diameter (HD) models were adopted in predicting the height of trees in the plantation while some models were selected from previous research to predict the TSC of the trees in the study area. The models were assessed based on some fit indices (Relative Mean Absolute Bias (RMA), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), Coefficient of determination (R2), Adjusted Coefficient of Determination (R2 Adj), Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC)). Logistic model which had the least RMSE, AIC, BIC and the highest R2 values of 3.56, 1279.83, 1293.71 and 0.28 respectively for the HD models while TSC3 is the best model for predicting slenderness coefficient in the study area which had the least RMSE, AIC, BIC and the highest R2 values of 31.82, 2316.7, 2327.11 and 0.38 respectively. The selected models provide reliable tools for assessing tree stability and growth dynamics in the reserve, aiding forest management planning. Efforts should be made through collaborative efforts between researchers, forest managers, and policymakers, to incorporate these models into forest monitoring and management strategies.