Timber Volume Estimation Model for Merchantable Tree Species in Sarmi Regency, Papua

Kuswandi, Relawan

doi:10.20886/jwas.v3i2.1982

Cited by 4 publications

(8 citation statements)

References 8 publications

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“…Model penduga volume pohon disusun berdasarkan hubungan antara volume pohon sebagai variabel terikat (dependent variable) dengan diameter dan tinggi pohon sebagai variabel bebas (independent variable). Persamaan ini disusun menggunakan persamaan 3, 4, 5, 6, 7, dan 8 baik melalui transformasi atau tanpa transformasi ke dalam bentuk linear (transformasi logaritmis) (Mauya et al, 2014;Kuswandi, 2016;Susanty & Abdurachman, 2016). Transformasi logaritmis ini bertujuan untuk menyederhanakan persamaan dan mempermudah proses pengolahan data (Susila, 2012).…”

Section: B Penyusunan Persamaan Regresi Model Penduga Volume Pohonunclassified

“…Nilai selanjutnya diberikan dengan menggunakan sistem yang sama. Model terbaik adalah model yang memiliki skor terendah (Kuswandi, 2016).…”

Section: Pemilihan Model Terbaikunclassified

“…Nilai selanjutnya diberikan dengan menggunakan sistem yang sama. Model terbaik adalah model yang memiliki skor terendah (Kuswandi, 2016). Menurut , pemilihan model terbaik perlu dilakukan berdasarkan sistem skoring terhadap tiap kriteria statistik karena model tertentu bisa memiliki nilai yang lebih tinggi pada satu kriteria namun rendah pada kriteria statistik lainnya.…”

Section: Pemilihan Model Terbaikunclassified

“…Informasi potensi tegakan hutan umumnya diperoleh melalui pendugaan volume pohon menggunakan angka bentuk. Namun demikian, metode ini dipandang sudah tidak tepat lagi karena akurasinya yang rendah akibat variasi pertumbuhan pohon yang dipengaruhi oleh perbedaan jenis, tempat tumbuh, dan perlakuan silvikultur (Krisnawati & Bustomi, 2004;Holopainen et al, 2010;Tewari et al, 2013;Kuswandi, 2016;Budiyana et al, 2018). Oleh sebab itu, penggunaan metode yang bersifat umum dalam menduga volume pohon disarankan untuk dihindarkan karena berpotensi menghasilkan informasi yang kurang akurat (Boreel & Siahaya, 2010;Abdurachman, 2013).…”

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Timber Volume Estimation Model for Commercial Tree Species in the Logging Area Concession of PT. Tunas Timber Lestari in Boven Digul, Papua

Freddy,

Kuswandi

2019

wasian

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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.

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Section: B Penyusunan Persamaan Regresi Model Penduga Volume Pohonunclassified

“…Nilai selanjutnya diberikan dengan menggunakan sistem yang sama. Model terbaik adalah model yang memiliki skor terendah (Kuswandi, 2016).…”

Section: Pemilihan Model Terbaikunclassified

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Timber Volume Estimation Model for Commercial Tree Species in the Logging Area Concession of PT. Tunas Timber Lestari in Boven Digul, Papua

Freddy,

Kuswandi

2019

wasian

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“…Selain berkaitan dengan jenis, klon juga berpengaruh terhadap besarnya koefisien korelasi tersebut. Pada klon yang berbeda, korelasinya berkisar antara 0,56 -0,87 (Sahuri, 2017) yakn 0,067 (Kuswandi, 2016). Hal ini karena sangat bervariasinya tempat tumbuh di hutan alam untuk setiap individu (Menéndez-Miguélez et al 2014).…”

Section: Pemilihan Calon Model Terbaikunclassified

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

Qirom

2018

wasian

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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

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Allometric model to estimate biomass of leave-twigs cajuput (Melaleuca cajuput) at KPH Yogyakarta, Indonesia

Mulyana

Purwanto

Rohman

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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Estimation of carbon storage in plantations is an alternative strategy to mitigate climate change. The carbon storage estimation model was developed by building a biomass allometric model with specific predictors. Utilization of cajuput plantations is harvesting the leave-twigs, which is different from the utilization of commons plantation forests that emphasize on timber forest products. Therefore, the objective of the research was to develop an allometric model of cajuput leave-twigs biomass. The study was conducted in KPH Yogyakarta on cajuput plants aged 23, 27, 31, 33, 40, 41, and 43 years. 210 samples were used to develop allometric models, and 60 samples were used as model validation materials. Leave-twigs biomass of cajuput (Y) was estimated with the predictors of the canopy height of cajuput (X1), mean quadratic of canopy diameter (X2), and mean quadratic of stem diameter (X3). The results showed that the allometric model of leave-twigs biomass of cajuput was Y = 3,597X1 0.961X2 0.145X3 0.247. The results of the model validation test resulted in R2 adj value of 0.428; the aggregate deviation was 9.76%; the mean deviation was 0.50%; the bias was - 2.16%, and RMSE was 0.47%. The allometric model was less accurate in predicting leave-twigs biomass of cajuput with the predictors of canopy height, canopy diameter, and stem diameter. Furthermore, it is important to build an allometric model of leave-twigs biomass by adding other predictors.

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Timber Volume Estimation Model for Merchantable Tree Species in Sarmi Regency, Papua

Cited by 4 publications

References 8 publications

Timber Volume Estimation Model for Commercial Tree Species in the Logging Area Concession of PT. Tunas Timber Lestari in Boven Digul, Papua

Timber Volume Estimation Model for Commercial Tree Species in the Logging Area Concession of PT. Tunas Timber Lestari in Boven Digul, Papua

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

Allometric model to estimate biomass of leave-twigs cajuput (Melaleuca cajuput) at KPH Yogyakarta, Indonesia

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