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Keragaman Struktur Tegakan Hutan Alam Sekunder (The Variability of Stand Structure of Logged-over Natural Forest) Muhdin; Endang Suhendang; Djoko Wahjono; Herry Purnomo; Istomo; Bintang C.H. Simangunsong
Jurnal Manajemen Hutan Tropika Vol. 14 No. 2 (2008)
Publisher : Institut Pertanian Bogor (IPB University)

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Differences in logging intensity, forestfires and forest encroachment have caused the variability of natural forest conditions, including its horizontal and vertical stand structures. Information on stand structure variability and dynamic of secondary forests is essential for projecting the future stand structure, which can be used to develop forest management plan. This study, which used 109 permanent sample plots data established on low and dry-land logged over natural forests in Kalimantan, showed that there was an obvious variability of the stand conditions after logging in terms of the trees number per hectare and horizontal stand structures.

Pendugaan Dinamika Struktur Tegakan Hutan Alam Bekas Tebangan Muhdin; Endang Suhendang; Djoko Wahjono; Herry Purnomo; Istomo; Bintang Charles H Simangunsong
Jurnal Manajemen Hutan Tropika Vol. 17 No. 1 (2011)
Publisher : Institut Pertanian Bogor (IPB University)

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Dynamics of stand structure (DST), which could indicate the growth performance of logged-over forests, may vary depending on various factors, e.g. stand density, initial stand structure, species composition, time after logging, and environmental factors (rainfall, elevation, etc.). The variations of such factors could result in the variations of DST’s components (e.g. proportion of trees upgrowth and staying). However, this study, which used 75 permanent sample plots data of lowland and dryland natural forests in Kalimantan, showed that the proportion of trees upgrowth and staying could not be predicted satisfactorily using the number of trees, stand basal area, time after logging, and elevation as independent variables in multiple linear regression models. The regression models produced unrealistic projections of stand structures. In contrast, the projection of stand structures using the DST’s components that were calculated using arithmetic mean was better than that of the regression models.

Development of Line Intersect Method for Logging Residue Assessment of Teak Sarah Andini; Ahmad Budiaman; Muhdin Muhdin
Jurnal Manajemen Hutan Tropika Vol. 23 No. 2 (2017)
Publisher : Institut Pertanian Bogor (IPB University)

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Line intersect method (LIM) emerged as one of the effective and efficient post-harvesting assessment methods. LIM was being widely used to estimate logging residue of plantation forest in the temperate zone. This method has not been used in tropical forest plantations, including teak forests. The study was carried out to determine the best design of LIM for assessing logging residue in the teak plantation. The circular and rectangular plot was used in this study. A hundred percent logging residue inventory was carried out on each plot. Then, one and combination of two and three line intersects per plot were placed on each plot. Bias, precision and accuracy criteria were calculated in order to compare the designs. The study found that estimation of logging residue volume using LIM was biased and tended to overestimate. LIM design with two lines combination per plot was the best design for assessing logging residue of the teak plantation.

FORM FACTORS AND VOLUME MODELS FOR ESTIMATING TREE BOLE VOLUME OF MAHOGANY AT COMMUNITY FORESTS IN CENTRAL JAVA Tatang Tiryana; Lailatul Khasanah; Priyanto Priyanto; Sri Rahaju; Muhdin Muhdin
Indonesian Journal of Forestry Research Vol 8, No 2 (2021): Indonesian Journal of Forestry Research
Publisher : Secretariat of Agency for Standardization of Environment and Forestry Instruments

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/ijfr.2021.8.2.199-211

Form factors and volume models are often be used in the estimation of tree volumes. However, a few studies have developed and evaluated the accuracy of form factors and volume models for estimating tree volumes of community forests. This study aimed to formulate form factors and volume models and assess their prediction accuracy for estimating tree bole volumes of mahogany at community forests in Central Java. This study used 120 sample trees with diameters of 6–38 cm to formulate artificial and absolute form factors and to develop tree bole volume models. These form factors coupled with bole height and total height were used in simple volume equations. Regression analyses were used to develop volume models using the diameter and total height as predictors. The simple volume equations and volume models' prediction accuracy was evaluated using a cross-validation dataset and independent dataset (30 sample trees). The artificial form factor (0.68 ± 0.11) of mahogany, which was higher than the absolute form factor (0.46 ± 0.09), provided accurate estimates of tree bole volumes when it was used with the bole height instead of the total height. The volume model that uses diameter and total height produced the most accurate estimates, while the volume model that uses diameter alone provided the most practical yet reliable tool for estimating tree bole volumes of mahogany. The results of this study are useful for improving community forest management.

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

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

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

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

Stand and Site Characteristics of Kabesak (Acacia leucophloea) in Timor Island, East Nusa Tenggara, Indonesia Arnold C. Hendrik; Cecep Kusmana; Muhdin
Jurnal Penelitian Kehutanan Wallacea Vol. 8 No. 2 (2019)
Publisher : Foresty Faculty of Hasanuddin University

Kabesak (Acacia leucophloea) is a particular plant species and recognized to have important benefits tothe local people of Timor Island. The people of Timor Island use kabesak leaves as animal feed in the dry season and kabesak wood is used as building materials and furniture. The purpose of this study wasto determine the stand and site characteristics ofkabesak in the western region of Timor, Indonesia. The means of density, frequency, dominance, and importance value index were analyzed. The results showed kabesak stand structure in secondary forest land, grassland, and shrubs, as well as garden showed the J-inverted shaped, which implies that natural regeneration was a proper continuation. Kabesak had significant associations with a few plants’ species, both negative and positive types. The result of regression analysis of the principal components showedthat the contribution of edaphic factor influencesthe population density of kabesak.Silt fraction and phosphorus content were found tohave the highest positive effect on the density, while sand fraction and sodium content were found to havethe highestnegative effectsof kabesak. A test for altitude with Tukey test (α = 0.05) reveals that kabesak from 0-300 m a.s.l., 300-600 m. asl., 600-900 m a.s.l. werenot different from each other, while altitude >900 m a.s.l. was significantly different from the other groups.

Peran Para Pihak dalam Mendukung Percepatan Perhutanan Sosial Muhdin; Hero, Yulius; Marasta, Khalifa; Rimbawanto, Septian Ardi; Karsuwadi, Ringo Renaldi; Rudiyanto
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol 1 No 1 (2019): Policy Brief Pertanian, Kelautan dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0101.17-19

Perhutanan sosial adalah program Kementerian Lingkungan Hidup dan Kehutanan (KLHK) Republik Indonesia. Kegiatan ini memiliki tujuan untuk menyejahterakan masyarakat sekitar hutan dan meningkatkan peran serta masyarakat dalam mengelola kawasan hutan sehingga dapat meningkatkan taraf kehidupan masyarakat sekitar hutan. Perhutanan sosial sebagai kebijakan pengelolaan hutan memiliki sisi dan potensi bagi terjadinya konflik disebabkan antaranya oleh dua hal yakni dikotomi ruang lingkup pengelolaan di dalam atau di luar kawasan hutan dan fakta historis pengelolaan kawasan antara pulau Jawa dan luar pulau Jawa meliputi aspek kelangkaan sumber daya, klaim ulayat, serta perbedaan kepentingan antara para pihak yang terlibat dalam program. Target perhutanan sosial saat ini baru tercapai kurang lebih 15.8% dari luasan target awal 12.7 juta Ha. Berbagai stakeholder menyampaikan peranannya dan solusi dari berbagai sudut pandang terhadap isu terhangat mengenai perhutanan sosial untuk mengatasi permasalahan yang terjadi mulai dari tingkat tapak yakni kesatuan pengelola hutan sampai pada peran para kepentingan ditingkat pemerintah.

Inovasi dalam Mengoptimalkan Pemanfaatan Sumberdaya Hutan untuk Mendukung SDGs 2030 Muhdin; Hero, Yulius; Amri, Syaiful; Kholifah, Siti
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol 1 No 1 (2019): Policy Brief Pertanian, Kelautan dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0101.22-24

Upaya pemanfaatan sumberdaya hutan perlu dilakukan sebagai salah satu bentuk dukungan yang dapat merealisasikan beberapa tujuan dalam SDGs yakni dapat memelihara keseimbangan tiga dimensi pembangunan berkelanjutan yang mencakup lingkungan, sosial dan ekonomi. Lemahnya pengetahuan masyarakat mengenai pemanfaatan sumberdaya hutan menjadi kendala dalam optimalisasi pemanfaatan sumberdaya yang tersedia. Sehingga tujuan pemerintah yang mengacu pada Peraturan Presiden Republik Indonesia Nomor 59 Tahun 2015 tentang pelaksanaan Pencapaian Tujuan Pembangunan Berkelanjutan dalam pasal 2 ayat 2 belum terpenuhi. Hasil kajian ini adalah merekomendasikan beberapa inovasi diantaranya, memaksimalkan pemanfaatan lahan gambut. Konsep budidaya yang dapat dilakukan pada lahan gambut yaitu sistem Agroforestry. Inovasi selanjutnya berlatar belakang dari banyaknya hutan mangrove yang tidak dimanfaatkan dengan lestari berdasarkan fungsinya. inovasi digital yang menyediakan berbagai fitur layanan informasi maupun dialog sangat diperlukan. Sehingga permasalahan masyarakat yang kurang pengetahuan dalam pengelolaan hutan dan kurang relasi dalam mendistribusikan produknya.

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