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Kuswandi, Relawan Kuswandi
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Timber Volume Estimation Model for Merchantable Tree Species in Sarmi Regency, Papua Kuswandi, Relawan Kuswandi
Jurnal Wasian Vol. 3 No. 2 (2016): December
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/j0s0rr53

Abstract

Precise forest inventory to estimate standing stock is needed in forest management planning. Therefore, it is necessary to have proper and reliable tools in estimating merchantable timber volume. This research was intended to build an accurate model to estimate timber volume for merchantable species in logging concession of PT Wapoga Mutiara Timber, Sarmi Regency. Regression equation between diameter and length did not have a significant correlation (coefficient of determination, R2 = 6.7 %). The best equation to estimate table tree volume based on validation test in logging concession of PT Wapoga Mutiara Timber was Log V = - 3.34 + 2.16 log d.
Timber Volume Estimation Model for Commercial Tree Species in the Logging Area Concession of PT. Tunas Timber Lestari in Boven Digul, Papua Freddy, Freddy Jontara Hutapea; Kuswandi, Relawan Kuswandi
Jurnal Wasian Vol. 6 No. 1 (2019): June
Publisher : Forestry Department, University of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62142/dbnjwd28

Abstract

The volume estimation model is one of the most important components in developing sustainable forest management. Nowadays, various models for various types of forests in Indonesia have developed. Nevertheless, these models do not represent the type of forest ecosystem in Papua. Therefore, numerous studies are still needed to develop volume estimation model for various types of forests in Papua. This study was aimed to develop timber volume estimation model for commercial tree species in logging concession of PT. Tunas Timber Lestari in Sesnukt District, Boven Digul Regency, Papua Province. A total of 164 trees were chosen to develop the model and 50 trees for model validation. The result showed that diameter did not have a strong correlation with tree height. Therefore, the model should be developed using the combination of diameter and tree height. The best model in the development stage was selected based on the value of coefficient of determination (R2), standard error of the estimate (SEE), and Ftest. The best model in the validation stage was selected based on the value of bias (e), root mean square errors (RMSE), average deviation (SR), aggregative deviation (SA), and χ2test.. The best model for timber volume estimation in PT. Tunas Timber Lestari are V = 0.00007594 D1.978 H0.923.
Co-Authors Freddy, Freddy Jontara Hutapea