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All Journal Jurnal Penelitian Hutan Tanaman Jurnal Wasian Jurnal Galam Jurnal Wasian
Muhammad Abdul Qirom
Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan Banjarbaru
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Education Environmental Science

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Journal : Jurnal Wasian

 1 
Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan Muhammad Abdul Qirom
Jurnal Wasian Vol 5, No 2 (2018): Jurnal Wasian
Publisher : Balai Penerapan Standar Instrumen Lingkungan Hidup dan Kehutanan (BPPLHK)Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jwas.v5i2.4585

Abstract

Estimation model of tree volume must be high in accuracy and precisions to estimate stand potential precisely. This paper determines and validates the estimation model of Shorea balangeran volume grown in Central Kalimantan, Indonesia. There were three phases of model development which include 52 trees for model progress, 23 trees for model validation, and 10 trees for external model validation. The calculation model used linear and non-linear models with diameter, diameter and height, and diameter and height combination as independent variables. The criteria of the best model was determined by statistical analyses such as coefficient determination, relative and aggregative deviation, bias, precisions and accuracy of estimation, AIC (Akaike’s Information Criterion). The result of the study showed that the model with diameter as single variable was not complied with the selected best model criteria (aggregative deviation; AD< 1 % and relative deviation: RD< 8 %). The addition of tree height on model estimation increased the coefficient determination of 6.54% and the model with diameter and height as independent variable was satisfied with the criteria (AD and RD criteria). The best model of Balangeran was with coefficient determination of 89.77 %. However, the best model was not applicable for other sites with different stand characteristicsKeywords: volume, model, Balangeran, validation, stand, tree
The Volume Model of Tree Species Group in Peat Swamp Forest at Logging Concession Area of Tingang Karya Mandiri, Central Kalimantan Muhammad Abdul Qirom; Acep Akbar
Jurnal Wasian Vol 7, No 1 (2020): Jurnal Wasian
Publisher : Balai Penerapan Standar Instrumen Lingkungan Hidup dan Kehutanan (BPPLHK)Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jwas.v7i1.5538

Abstract

Tropical peat swamp forest (PSF) has a high species diversity and value including timber value. The valuation of timber is approached by calculating the stand volume. However, the volume model at PSF is not available for every species and species groups in specific site. This study aims to obtain a volume estimation model of species groups of tree species in peat swamp forest in Central Kalimantan. The model development and validation used 120 sample trees of the dipterocarpaceae and non-dipterocarpacae species. The distribution of sample trees is 70 % for the development model and 30 % for the validation stage. Modeling used linear and non-linear models). The selection of the best model used several criteria including: coefficient of determination, relative deviation (SR <8 %) and aggregation (SA <1 %), presumptive bias (s and RSE: Root Square Errors), AIC (Akaike's Information criteriation), and NRMSE (Normalized Root Mean Square Errors). The results of this study indicated the Berkhout/diameter model as a single variable was very good in estimating the volume of trees at all levels namely species groups and all species except dipterocarpaceae groups. This model had a high coefficient of determination (R2 >95 %). The models compiled met the SA and SR criteria so that the models were very accurate in estimating tree volume at the tree level, as individuals and stands. The implication of this research was that the whole species model can be used to estimate the volume of trees in peat swamp forest.Keywords: accuracy, timber , non-linear, validation
Co-Authors Abdi Fithria Acep Akbar Dony Rachmanadi Eny Faridah Kissinger Kissinger Peter van der Meer Purwanto Budi Santosa Sumardi Sumardi Supriyadi Supriyadi Syaifuddin Syaifuddin Tri Ani Windawati Tri Wira Yuwati