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All Journal Jurnal Penelitian Hutan Tanaman Jurnal Wasian Jurnal Wasian
Muhdin Muhdin
Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Education

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MODEL VOLUME POHON SENGON UNTUK MENILAI KEHILANGAN KEUNTUNGAN PETANI HUTAN RAKYAT Ari Ardelina; Tatang Tiryana; Muhdin Muhdin
Jurnal Penelitian Hutan Tanaman Vol 12, No 2 (2015): JURNAL PENELITIAN HUTAN TANAMAN
Publisher : Pusat Penelitian dan Pengembangan Hutan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (871.986 KB) | DOI: 10.20886/jpht.2015.12.2.131-139

Abstract

Sistem penjualan pohon sengon ( L.) di hutan rakyat tanpa menggunakan model volume Paraserianthes falcataria pohon yang tepat dapat menimbulkan kehilangan keuntungan petani. Tujuan penelitian ini adalah untuk memperoleh model volume sengon dan mengevaluasi praktek yang biasa dilakukan dalam penjualan kayu sengon di hutan rakyat. Hasil penelitian menunjukkan bahwa model volume yang dapat digunakan secara akurat untuk memperkirakan volume pohon sengon di hutan rakyat dapat diduga dengan hanya mengukur diameter pohon. Sistem penjualan berdasarkan batangan dan luasan menyebabkan petani kehilangan keuntungan sebesar 24,99% dan 32,19%. Untuk menghindari kelemahan tersebut maka direkomendasikan model volume sebagai penduga volume pohon sengon dengan akurat.
Allometric Models for Estimating Tree Biomass of Dryland Secondary Forest in East Halmahera Mujahidah Sylviari Zaenal; Tatang Tiryana; Muhdin Muhdin
Jurnal Wasian Vol 7, No 2 (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.v7i2.5948

Abstract

Biomass estimation of secondary forests is required to support the emission reduction of carbon dioxide through an enhancement of forest carbon stocks. Commonly, forest biomass is indirectly estimated using tree biomass allometric models that are developed based on a destructive sampling of sample trees. The availability of biomass allometric models for secondary forests in Indonesia is still limited, particularly for secondary forest ecosystems in eastern Indonesia. This study aimed to develop allometric biomass models for mixed-species trees in a secondary forest of East Halmahera, North Maluku, and to compare their accuracies with some other allometric biomass models that commonly used for estimating biomass of secondary forests. The tree biomass measurement was conducted by using a destructive sampling of 18 mixed-species trees (with diameter range of 5,4 – 36,9 cm) in a secondary forest. The samples of each tree component (stem, branch, twig, and leaf) were analyzed in a laboratory to determine the biomass of each sample tree. Allometric models were developed by using a non-linear regression analysis, which were then compared with other allometric models. This study revealed that the biomass of mixed-species trees in the study area could be estimated accurately using the M7 model that used diameter, height, and wood density variables. Such local allometric model was more accurate than other allometric models commonly used for estimating tropical forest biomass. Alternatively, the M3 model that used diameter and height variables could also be used when wood density data was not available. The local allometric models from this study can enrich the availability of biomass allometric models for secondary forest ecosystems in eastern Indonesia. Keyword: allometric model, destructive sampling, mixed-species, REDD+, secondary forest           
Allometric Models for Estimating Tree Biomass of Dryland Secondary Forest in East Halmahera Mujahidah Sylviari Zaenal; Tatang Tiryana; Muhdin Muhdin
Jurnal Wasian Vol 7, No 2 (2020): Jurnal Wasian
Publisher : Balai Penerapan Standar Instrumen Lingkungan Hidup dan Kehutanan (BPPLHK)Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1088.02 KB) | DOI: 10.20886/jwas.v7i2.5948

Abstract

Biomass estimation of secondary forests is required to support the emission reduction of carbon dioxide through an enhancement of forest carbon stocks. Commonly, forest biomass is indirectly estimated using tree biomass allometric models that are developed based on a destructive sampling of sample trees. The availability of biomass allometric models for secondary forests in Indonesia is still limited, particularly for secondary forest ecosystems in eastern Indonesia. This study aimed to develop allometric biomass models for mixed-species trees in a secondary forest of East Halmahera, North Maluku, and to compare their accuracies with some other allometric biomass models that commonly used for estimating biomass of secondary forests. The tree biomass measurement was conducted by using a destructive sampling of 18 mixed-species trees (with diameter range of 5,4 – 36,9 cm) in a secondary forest. The samples of each tree component (stem, branch, twig, and leaf) were analyzed in a laboratory to determine the biomass of each sample tree. Allometric models were developed by using a non-linear regression analysis, which were then compared with other allometric models. This study revealed that the biomass of mixed-species trees in the study area could be estimated accurately using the M7 model that used diameter, height, and wood density variables. Such local allometric model was more accurate than other allometric models commonly used for estimating tropical forest biomass. Alternatively, the M3 model that used diameter and height variables could also be used when wood density data was not available. The local allometric models from this study can enrich the availability of biomass allometric models for secondary forest ecosystems in eastern Indonesia. Keyword: allometric model, destructive sampling, mixed-species, REDD+, secondary forest           
Co-Authors Ari Ardelina Mujahidah Sylviari Zaenal Tatang Tiryana