Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan

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 tr...

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Main Author: Muhammad Abdul Qirom
Format: Article
Language:Indonesian
Published: Balai Penelitian Kehutanan 2018-12-01
Series:Jurnal Wasian
Subjects:
Online Access:http://ejournal.forda-mof.org/ejournal-litbang/index.php/JWAS/article/view/4585/4528
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spelling doaj-e649ad0ef53249a482a1634738883a492020-11-24T20:41:45ZindBalai Penelitian Kehutanan Jurnal Wasian2355-99692502-51982018-12-01528910410.20886/jwas.v5i2.45853727Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central KalimantanMuhammad Abdul Qirom0Balai Penelitian dan Pengembangan Lingkungan Hidup dan Kehutanan BanjarbaruEstimation 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 characteristics http://ejournal.forda-mof.org/ejournal-litbang/index.php/JWAS/article/view/4585/4528volumemodelBalangeranvalidationstandtree
collection DOAJ
language Indonesian
format Article
sources DOAJ
author Muhammad Abdul Qirom
spellingShingle Muhammad Abdul Qirom
Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan
Jurnal Wasian
volume
model
Balangeran
validation
stand
tree
author_facet Muhammad Abdul Qirom
author_sort Muhammad Abdul Qirom
title Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan
title_short Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan
title_full Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan
title_fullStr Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan
title_full_unstemmed Development and Validation of Volume Prediction Model for Balangeran (Shorea balangeran (Korth.) Burck) In Central Kalimantan
title_sort development and validation of volume prediction model for balangeran (shorea balangeran (korth.) burck) in central kalimantan
publisher Balai Penelitian Kehutanan
series Jurnal Wasian
issn 2355-9969
2502-5198
publishDate 2018-12-01
description 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 characteristics
topic volume
model
Balangeran
validation
stand
tree
url http://ejournal.forda-mof.org/ejournal-litbang/index.php/JWAS/article/view/4585/4528
work_keys_str_mv AT muhammadabdulqirom developmentandvalidationofvolumepredictionmodelforbalangeranshoreabalangerankorthburckincentralkalimantan
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