Modeling the Diameter Distribution of Mixed Uneven-Aged Stands in the South Western Carpathians in Romania

Tree diameter measurements are repetitive, time-consuming, and laborious but necessary to obtain the distribution of stands. provides much information for sustainable management can be predicted with high accuracy, thus saving time financial resources. Permanent sample plots that belong a permanent sampling network located in protected area South Western Carpathians Romania were used this study. We compared two theoretical functions or recovered their parameters using parameter prediction recovery methods. Five modeling approaches based on maximum likelihood method moments predict unmanaged mixed uneven-aged Parameter methods outperformed while left-truncated Weibull complete distribution. The accuracy obtained by best approach measured relative root mean squared error (%RMSE) reaches up 12.6% when sums diameters raised third power only 0.02% 4.8% second powers sum respectively. This research is first kind serve as an example alternative solutions yield tables estimating volume stands easily implemented into forest growth models absence tree lists.