Volume equations for tree species in the tropical dry forest of East Nusa Tenggara, Indonesia

The aims of this study is to develop and validate tree volume prediction models of tree species in East Nusa Tenggara tropical dry forest, Indonesia. Data collection in this study was conducted bymeasuring diameter andheight of trees. Tree species volume equation is estimated using models of Berkhout, Kopezky-Gehrhardt and Hohenadl-Krenn. Selectionof the best models was based on the values of the coefficient of standar deviation (SD), R2 adj, aggregate deviation (AD) and average deviation (AveD), root mean square error (RMSE) and bias. Hohenadl-Krenn and Kopezky-Gehrhardt models were accepted as the best model for tree species in all research sites. The selected volume model for these tree species has Hohenadl-Krenn (V = 0.572 - 0.033Dbh + 0.00106Dbh2 for Binafun and V = 0.683 - 0.0366Dbh + 0.001278Dbh2 for Bonmuti) and Kopezky-Gehrhardt models (V = 0.0502 + 0.000537 Dbh2 for Letkole and V = -0.1776 + 0.000677Dbh2 for Oelbanu).

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Publication Details

Journal
Jurnal Ilmiah Kehutanan Rimba Kalimantan/ULIN : Jurnal Hutan Tropis
Published
2025-03-08
DOI
https://doi.org/10.32522/ujht.v9i1.14649
Primary Topic
Forest ecology and management
Type
article
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article

Volume equations for tree species in the tropical dry forest of East Nusa Tenggara, Indonesia

Aah Ahmad Almulqu
Jurnal Ilmiah Kehutanan Rimba Kalimantan/ULIN : Jurnal Hutan Tropis
Forest ecology and management
article

Volume equations for tree species in the tropical dry forest of East Nusa Tenggara, Indonesia

Aah Ahmad Almulqu
article en

Abstract

The aims of this study is to develop and validate tree volume prediction models of tree species in East Nusa Tenggara tropical dry forest, Indonesia. Data collection in this study was conducted bymeasuring diameter andheight of trees. Tree species volume equation is estimated using models of Berkhout, Kopezky-Gehrhardt and Hohenadl-Krenn. Selectionof the best models was based on the values of the coefficient of standar deviation (SD), R2 adj, aggregate deviation (AD) and average deviation (AveD), root mean square error (RMSE) and bias. Hohenadl-Krenn and Kopezky-Gehrhardt models were accepted as the best model for tree species in all research sites. The selected volume model for these tree species has Hohenadl-Krenn (V = 0.572 - 0.033Dbh + 0.00106Dbh2 for Binafun and V = 0.683 - 0.0366Dbh + 0.001278Dbh2 for Bonmuti) and Kopezky-Gehrhardt models (V = 0.0502 + 0.000537 Dbh2 for Letkole and V = -0.1776 + 0.000677Dbh2 for Oelbanu).

Jurnal Ilmiah Kehutanan Rimba Kalimantan/ULIN : Jurnal Hutan TropisVol. 9(1)
Openalex Percentile: Top 96%
Forest ecology and management
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