Volume Estimation of Standing Shorea sp. on UPM-JISE Rehabilitated Forest in Bintulu, Sarawak

Izyan Alwani, Seca Gandaseca

Abstract

This study was aimed to analyze the relationship between diameter at breast height, height, and volume of standing Shorea sp. and the relationship between age and volume of this species.  The study was conducted at different ages of rehabilitated forest in Bintulu Sarawak, where the measurement was taken from tree stand year 1992 until 2003.  The sampling plot of 20m x 20m was built for each age of stand. Ten standing Shorea sp. were randomly measured for sectionals (taper) from diameter at breast height until the free branches of the tree. The rest of the trees within the plot were only measured by diameter at breast height. All collected data were calculated to find basal area of each tree in meter square (m2).  The volume per plot was calculated using the Smalian’s formula to find the taper volume of the Shorea sp.  Statistical analysis was conducted to find the regression equation which could explain the relation between volume, diameter, and height of the tree.  Result showed that there was a relationship between volume, diameter, and height of the tree, and also there was relationship between volume and age of the tree.  Meanwhile, there was no relationship between taper of standing trees and age of trees. This means that volume taper of standing tree and age have no correlation.

Authors

Izyan Alwani
Seca Gandaseca
seca@btu.upm.edu.my (Primary Contact)
Author Biographies

Izyan Alwani

Department of Crop Science, Faculty of Agriculture and Food Science, University Putra Malaysia, Malaysia

Seca Gandaseca

Department of Forestry Science, Faculty of Agriculture and Food Science, University Putra Malaysia, Malaysia
AlwaniI., & GandasecaS. (1). Volume Estimation of Standing Shorea sp. on UPM-JISE Rehabilitated Forest in Bintulu, Sarawak. Jurnal Manajemen Hutan Tropika, 14(3), 111-114. Retrieved from https://journal.ipb.ac.id/index.php/jmht/article/view/3227

Article Details

Regression Models for Estimating Aboveground Biomass and Stand Volume Using Landsat-Based Indices in Post-Mining Area

Aditya Rizky Priatama, Yudi Setiawan, Irdika Mansur, Muhammad Masyhuri
Abstract View : 652
Download :1422