Sona Suhartana

Mrs. Sona Suhartana

Research center for Biomass and Bioproducts, National Research and Innovation Agency, Bogor, Jawa Barat, Indonesia
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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 August 2024 in Land
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BNB.H. Narendra, O.S., R.A. Hasan, C.A. Siregar, Susi Pratiwi, N.S., A.S., I.W.S. Dharmawan, R. Nandini
B.H. Narendra, O.S., R.A. Hasan, C.A. Siregar, Susi Pratiwi, N.S., A.S., I.W.S. Dharmawan, R. Nandini
YLYunita Lisnawati
Yunita Lisnawati
HSHengki Siahaan, Siahaan
Hengki Siahaan, Siahaan
BPBambang tejo Premono
Bambang tejo Premono
MIMohamad Iqbal
Mohamad Iqbal
ASAsep Sukmana
Asep Sukmana
Climate change poses significant challenges to ecosystems globally, demanding innovative methods for environmental conservation and restoration. Restoration initiatives require significant amounts of appropriate vegetation that is both adaptive and tolerant to the specific environmental factors. This study introduces an adaptive-vegetation model designed to support ecosystem resilience in the face of climate change. Traditional restoration methods often neglect dynamic environmental conditions and ecosystem interactions, but the model employs real-time data and predictive analytics to adapt strategies to evolving climate variables. The model takes a comprehensive approach, incorporating climate projections, soil health metrics, species adaptability, and hydrological patterns to inform restoration practices. By using a mix of adaptable native species, the model promotes biodiversity. In conclusion, according to the findings of our review, paludiculture and agroforestry could be implemented as models for improving climate resilience, particularly in tropical degraded peat swamp forests. These two models could improve the environment, the economy, and social functions. Finally, improving all three of these factors improves ecological stability. This adaptive-vegetation model represents a significant shift from static, uniform restoration approaches to dynamic, data-driven strategies tailored to specific environments. The future research directions underscore the need for ongoing innovation in conservation practices to safeguard ecosystems amid unprecedented environmental changes. Future efforts will focus on enhancing the model with advanced machine learning techniques and expanding its application to additional ecological contexts.

31 December 2016 in Jurnal Penelitian Hasil Hutan
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SSSoenarno Soenarno
Soenarno Soenarno
WEWesman Edom
Wesman Edom
ZBZakaria Basari
Zakaria Basari
DDDulsalam Dulsalam
Dulsalam Dulsalam
SSSona Suhartana
Sona Suhartana
YYYuniawati Yuniawati
Yuniawati Yuniawati
Dalam pemanfaatan kayu, pemanenan hutan merupakan tahap kegiatan utama yang dilakukan agar potensi pohon dapat dikeluarkan dari dalam hutan. Banyak atau sedikitnya limbah yang terjadi selama proses pemanenan kayu dapat dijadikan tolok ukur faktor eksploitasi (FE). Selama ini, pemerintah menetapkan angka FE sebesar 0,7. Padahal, paradigma pengelolaan hutan alam sudah semakin baik dengan diterapkannya pembalakan berdampak rendah (reduced impact logging/ RIL) dan/atau berdampak rendah karbon (RIL-C). Dilihat dari aspek ekonomis, nilai FE mempunyai peranan sangat penting karena digunakan sebagai pengali didalam menentukan jatah produksi tahunan (JPT) dan dasar untuk menjadi memperkirakan penerimaan besarnya provisi sumberdaya hutan (PSDH). Sedangkan dari aspek ekologis, penetapan nilai FE yang lebih besar dapat mengurangi terjadinya kerusakan hutan. Hasil penelitian yang dilakukan di 5 IUPHHK-HA di Kalimantan Timur menunjukkan besarnya bilangan FE berkisar antara 0,77 - 0,89. Besar kecilnya bilangan FE lebih dipengaruhi oleh faktor ketrampilan penebang dibandingkan dengan factor kompetensi manajemen IUPHHK-HA.

28 June 2022 in Forests
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JMJamaludin Malik
Jamaludin Malik
SSSupriyanto Supriyanto
Supriyanto Supriyanto
ASAdi Santoso
Adi Santoso
ISIgnasia Maria Sulastiningsih
Ignasia Maria Sulastiningsih
ASAchmad Supriadi
Achmad Supriadi
RDRudi Dungani
Rudi Dungani
Global agreements mandate the international community, including Indonesia, to commit to reducing the risks and impacts of climate change. Indonesia’s Nationally Determined Contributions (NDCs) will contribute to the achievement of the Convention’s goals by reducing greenhouse gas (GHG) emissions and increasing climate resilience. This commitment must be supported by a wide range of actions, including the use of timber. Despite the fact that wood contains carbon, limited information is currently available on the size of the wood utilisation subsector’s contribution to reducing GHG emissions. More research is needed on the magnitude of wood products’ contribution to climate change mitigation. This study assessed the amount of carbon stored in wood used as a building material. Purposive sampling was used to select the cities with rapid housing development surrounding Jakarta’s capital city, i.e., the Bekasi District, East Jakarta City, Depok City, and Bogor District. The amount of carbon stored in wood was calculated according to EN 16449:2014-06 and energy dispersive X-ray spectroscopy (EDS/EDX) analysis. Results show that wood is currently only used in door frames, door leaves, window frames, shutters, and vents. The carbon stored on the components ranges from 450 to 680 kg (average of 554.50 kg) in each housing unit, according to the EN 16449:2014-06 calculation. The weight range is between 130 and 430 kg (average of 400.42 kg) according to EDX/S carbon analysis. With an increase in housing needs of 800,000 units per year, this amount has the potential to store 0.44 million tons of carbon over the lifespan of the products.

20 February 2023 in Forests
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Journal Article
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Julianus KinhoJulianus Kinho
Julianus Kinho
SSSuhartati Suhartati
Suhartati Suhartati
HHHusna Husna
Husna Husna
FTFaisal Danu Tuheteru
Faisal Danu Tuheteru
DADIAH IRAWATI DWI ARINI
DIAH IRAWATI DWI ARINI
SOSoenarno
Soenarno
Indonesia has around 4000 wood species, and 10% (400) of species are categorized as commercial wood. One species is kayu kuku (Pericopsis mooniana Thwaites), native to Southeast Sulawesi. This species is considered a fancy wood used for sawn timber, veneer, plywood, carving, and furniture. The high demand for wood caused excessive logging and threatened its sustainability. In addition, planting P. mooniana has presented several challenges, including seedling production, viability and germination rate, nursery technology, and silviculture techniques. As a result, the genera of Pericopsis, including P. elata (Europe), P. mooniana (Sri Lanka), and P. angolenses (Africa), have been listed in the Convention on International Trade in Endangered Species (CITES) Appendix. Based on The International Union for Conservation of Nature (IUCN) Red List of Threatened Species, P. mooniana is categorized as Vulnerable (A1cd). This conservation status has raised issues regarding its biodiversity, conservation, and sustainability in the near future. This paper aims to review the conservation of potential and endangered species of P. mooniana and highlight some efforts for its species conservation and sustainable use in Indonesia. The method used is a systematic literature review based on P. mooniana’s publication derived from various reputable journal sources and additional literature sources. The results revealed that the future demand for P. mooniana still increases significantly due to its excellent wood characteristics. This high demand should be balanced with both silviculture techniques and conservation efforts. The silviculture of P. mooniana has been improved through seed storage technology, improved viability and germination rates, proper micro and macro propagation, applying hormones, in vitro seed storage, improved nursery technology, and harvesting techniques. P. mooniana conservation can be conducted with both in situ and ex situ conservation efforts. In situ conservation is carried out by protecting its mother trees in natural conditions (i.e., Lamedae Nature Reserve) for producing good quality seeds and seedlings. Ex situ conservation is realized by planting seeds and seedlings to produce more wood through rehabilitating and restoring critical forests and lands due to its ability to adapt to marginal land and mitigate climate change. Other actions required for supporting ex situ conservation are preventing illegal logging, regeneration, conservation education, reforestation, agroforestry system applied in private and community lands, and industrial forest plantations.
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28 October 2022 in Forests
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SOSoenarno
Soenarno
DUDulsalam
Dulsalam
YYYuniawati Yuniawati
Yuniawati Yuniawati
SSSona Suhartana
Sona Suhartana
SGSeca Gandaseca
Seca Gandaseca
Sarah AndiniSarah Andini
Sarah Andini
Felling of natural forest trees in West Papua Province is carried out mechanically using a chainsaw by applying a selective cutting silviculture system. This study aimed to determine the elements of working time, productivity, and cost of felling as well as factors influencing felling activities using the chainsaw in the tropical natural forests in West Papua, Indonesia. The felled trees are dominated by the meranti wood species group with a minimum diameter of 45 cm. The average volume of the felled tree is about 4.205 m3/tree. The result showed that total felling time ranged from 15.3 to 18.3 min/tree with an average of 16.7 min/tree. The effective felling time was 11.8 min/tree (70.86%) and the delay time was 4.9 min/tree (29.14%). Felling time in making undercuts was on average 1.7 min/tree (9.98%), longer than back cuts time of 1.10 min/tree (6.39%). Total felling time was influenced by various variables: tree diameter, buttress height, and slope. Felling productivity was accounted for between 14.901 m3/h and 17.067 m3/h (15.778 m3/h on average). Felling costs ranged from 3.366 USD/h to 3.473 USD/h with an average of 3.407 USD/h or equivalent to 0.209 USD/m3 to 0.238 USD/m3 with an average of 0.225 USD/m3. To improve the effectiveness of felling time and productivity, this study suggests (1) upgrading the skills of the chainsaw operators through formal or in-house training in felling techniques, and (2) ensuring chainsaw operators bring a tree distribution map completed by field conditions information.

30 April 2023 in Indonesian Journal of Forestry Research
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SMSari Delviana Marbun
Sari Delviana Marbun
VAVidya Fatimah Astutiputri
Vidya Fatimah Astutiputri
RDRatih Damayanti
Ratih Damayanti
HAHadisunarso
Hadisunarso
DTDeazy Rachmi Trisatya
Deazy Rachmi Trisatya
HSHengki Siahaan
Hengki Siahaan
Doubtlessly, wood identification is critically important for a number of sectors, including government organizations, the wooden-based industry, museums, law enforcement, and scientists working in the fields of botany, ecology, forestry, and wood technology. Unfortunately, most wood species listed as “the least-known species” lack essential knowledge or even their anatomical feature and basic properties to promote their usage. This research aimed to investigate the anatomical characteristics and fiber quality of the least-known timber species of Apocynaceae family, which are authentic wood collection from Xylarium Bogoriense, namely  , Ervatamia. sphaerocarpa, E. aurantiaca, Kopsia flavida, Lepiniopsis ternatensis, Plumeria acuminata, P. rubra, and Voacanga foetida. Wood samples have indistinct growth ring boundaries, diffuse-porous vessels in diagonal and/or radial pattern, vessels in radial multiples of 4 or more cells, simple perforation plate, alternate intervessel pits; distinct borders of vessel-ray pits, similar with those of intervessel pits in size and shape throughout the ray cell, and septate fibers with simple pits to minutely bordered pits which are common in radial and tangential walls. Based on the fiber length and the derived values of fiber dimension, some species are classified into Quality Class II and III, and the rest of them are classified into Quality Class II or III for pulp and paper manufacturing. Based on general characteristics, commonly Apocynaceae can be used as handicrafts raw material. Based on the fiber quality, some species which are classified into Quality Class II, are predicted to have potential as pulp and paper material with medium quality.