Abstract
Tree volume, the traditional measurement of wood quantity is a function of trees’ height, basal area, shape, and bark thickness. Tree volume table is the statement of expected tree volume of nominated dimensions in a particular forest stand or population. Acacia auriculiformis A. Cunn. ex. Benth. and Acacia mangium Willd. are two fast growing and hardy leguminous (Leguminosae, Mimosaceae) exotic species have widely been planted in the woodlot of Asian Development Bank financed Social Forestry Project in Bangladesh. In this study, models for calculating tree stem volume and a two way volume tables for both A. auriculiformis and A. mangium were developed. Data were collected from the social forestry woodlot of the respective species in Dhaka Forest Division, Bangladesh. Simple linear, logarithmic, polynomial, power and exponential regression models were developed. Best-fit model was selected based on highest R2 among seven linear regression models for volume calculation of A. auriculiformis and A. mangium. Regression R2 of the simple linear regression model for both the species was either higher or at least equal in compararison with said logarithmic, polynomial, power, and exponential regression models. Therefore, simple linear regression model as a function of height (h) and diameter at breast height (dbh) were adopted for the preparation of two way local volume table for both the species due to its simplicity in application.
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