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INDONESIA
MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management
Published by Institut Pertanian Bogor
ISSN : 20870469     EISSN : 20892063     DOI : -
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Jurnal Manajemen Hutan Tropika is a periodic scientific articles and conceptual thinking of tropical forest management covering all aspects of forest planning, forest policy, utilization of forest resources, forest ergonomics, forest ecology, forest inventory, silviculture, and management of regional ecosystems.
Arjuna Subject : -
Articles 537 Documents
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Integrating Indigenous Knowledge into Sustainable Forest Management for Climate Change Adaptation and Mitigation Strategies: Case from Southern Slopes of Mount Slamet, Indonesia Budiman, Mokhamad Asyief Khasan; Oue, Hiroki
Jurnal Manajemen Hutan Tropika Vol. 31 No. 1 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.1.41

Abstract

Frequent natural disasters and extreme weather increase the vulnerability to climate change in rural communities living near forests. Climate change adaptation and mitigation strategies related to forest management should consider indigenous knowledge in accordance with local community conditions and needs. This study aimed to investigate the indigenous knowledge of forest management to cope with climate change challenges. The research was conducted in April - May 2024 in the southern slopes of Mount Slamet, Central Java (i.e., Gununglurah, Sokawera, and Sunyalangu Villages). The research approach uses Participatory Learning Action with descriptive-quantitative analysis based on interpretive and critical sociology. This study revealed that indigenous knowledge comprises three types of forest management. Firstly, the community categorized the forest into three types of space: sacred conservation forests (Tabet), protected forests in steep areas, and production forests using agroforestry. Secondly, the schedule of forest management activities was based on the traditional seasonal calendar (Pranatamangsa). Thirdly, plant types were selected based on their functions, i.e., productions, conservations, and spirituals.
Home Range and Habitat Use of the Endangered Flores Hawk-eagle (Nisaetus floris) in Ende, Flores, East Nusa Tenggara Kuspriyangga, Aditya; Aryati Mulyani, Yeni; Syartinilia; Hidayat, Oki
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.133

Abstract

The Flores hawk-eagle (Nisaetus floris) is an endangered raptor endemic to the Lesser Sunda region and remains understudied, hindering effective conservation planning. This study investigates the species’ home range, habitat use, and threats at two active nesting sites in Ende District, Flores Island. Home range estimates varied between 8.439 km² (using minimum convex polygon/MCP) and 23.38 km² (using hypothetical-circular home range/HCHR) in Wolojita and from 6.385 km² (MCP) to 23.38 km² (HCHR) in Mbuli. Intensive use areas were relatively small, measuring 0.449 km² in Wolojita and 0.494 km² in Mbuli. Habitat use analysis revealed that in Wolojita, the eagles favored secondary forests, settlements, and shrublands, while in Mbuli, they primarily utilized grasslands and secondary forests, actively avoiding agricultural lands, rice fields, and areas near sulfuric rivers. Secondary forests appear to provide essential resources such as nesting trees and prey availability. However, competition with other raptor species, coupled with anthropogenic threats such as habitat degradation, land-use change, and persecution driven by livestock predation, poses significant risks to the species’ survival. Conservation should focus on preserving secondary forests, promoting sustainable land-use practices, and mitigating human-wildlife conflict to ensure the long-term viability of the population.
Greenhouse Gases Produced During Forest Fires in the La Niña and El Niño Periods in South Sumatra Province Hadiwijoyo, Erekso; Fata, Yulia Amirul; Saharjo, Bambang Hero
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.159

Abstract

South Sumatra Province has characteristics that significantly increase hotspots and produce greenhouse gas (GHG) emissions in strong El Niño phenomena. This study investigates the impact of forest fires on GHG emissions during extreme climate in the South Sumatra Province from 2010 to 2020. This research analyzes the effects of La Niña and El Niño on the region by analyzing factors such as precipitation patterns, temperature fluctuations, hotspots, and greenhouse gas emissions. This study indicates that forest fires mostly happen during the dry season (May to October). El Niño occurred for the second time in 2015-2016 and 2018-2019, which affected the highest fire (hotspots, HSs) during the strong El Niño. Meanwhile, La Niña occurred three times in 2010-2011, 2011-2012, and 2017-2018, which is related to the low HSs found and represents the highest annual rainfall in the last ten years. The highest forest fire (HSs = 17.559) occurs in the characteristics of A1-B4 (precipitation 0-100, SSTA > 0.5°C). The highest GHG emission (>400 Mton) occurred in 2015 when the strong El Niño occurred in South Sumatra Province. The strong and weak El Niño produces the highest GHG emissions of more than 30 megatons per day, while the maximum mean daily GHG emission is under 10 megatons per day. Hotspot numbers rise exponentially with increasing SSTA, showing strong statistical relationships (R² > 0.80, r > 0.79) with burned area (R² = 0.90, r = 0.92) and burned area with CO₂ emissions (R² = 0.77, r = 0.79).
Integrating Multi-Variable Driving Factors to Improve Land Use & Land Cover Classification Accuracy using Machine Learning Approaches: A Case Study from Lombok Island Purnama, Miftahul Irsyadi; Çoban, Hüseyin Oğuz
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.123

Abstract

Accurate classification of land cover is essential for effective land management and environmental monitoring. This study aimed to enhance land cover classification for Lombok Island using advanced machine learning algorithms. The models employed include Random Forest, Gradient Boosting, Decision Tree, and Naive Bayes, integrating a wide range of variables, such as Landsat satellite imagery, spectral indices, physiographic, climatic, and socio-economic data. Among these, Random Forest demonstrated the highest model accuracy at 82%, followed by Gradient Boosting at 80%, Decision Tree at 73%, and Naïve Bayes at 61%. In field validation assessments, comparing the predictions of these machine learning models with ground truth data, Random Forest was the most reliable, achieving an overall accuracy of 88%. This superior performance is largely due to the multi-variable approach, which allows the model to mitigate issues like cloud cover in satellite images. The key variables that significantly influenced the land cover classification on Lombok Island include proximity to settlements, temperature, and distance to roads. These results provide essential insights for land management strategies, enabling policymakers and stakeholders to make informed decisions on sustainable development, urban planning, and environmental conservation in rapidly changing landscapes.
Allometric Model for Estimating Above-ground Biomass and Carbon Stock of Bambusa vulgaris var. striata Mulyana, Budi; Wirabuana, Pandu Yudha Adi Putra; Hadi Purwanto, Ris
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.114

Abstract

Bamboo, one of the non-timber forest products, is promising in climate change mitigation strategy due to its ability to remove CO2 from the atmosphere through photosynthesis. However, the allometric model to estimate the biomass and carbon of bamboo is still limited. The research aimed to develop the allometric model using the diameter as the predictor. The materials for destructive sampling were 30 culms of yellow ampel bamboo (Bambusa vulgaris var. striata). A power model was used to analyze data in order to develop an allometric model. Furthermore, data validation was used to leave one out cross-validation (LOOCV), and assessing the difference between predicted and observed values used t-test. The results showed that bamboo biomass was allocated in culms, branches, and leaves at 48.14, 27.66, and 24.20%, respectively. Moreover, the percentage carbon content of culms, branches, and leaves was 55.64%, 50.67%, and 48.48%, respectively. The best allometric model to estimate total biomass was lnWD = -1.846 + 2.218 lnD and to estimate carbon stock was lnC = -2.504 + 2.225 lnD. In conclusion, the diameter at 60 cm from the base (D60) was the best predictor, and adding the predictor length of culm did not improve the allometric model significantly. Moreover, the predictor D0 – Dbh (1.3 m) did not differ significantly in estimating above-ground biomass and carbon stock. Furthermore, for practical purpose, the Dbh is recommended for use in measuring bamboo diameter in the field.
Local Community’s Knowledge and Perception towards Freshwater Turtle Conservation in Southern Sumatra, Indonesia Tiara, Alma; Kusrini, Mirza Dikari; Sunkar, Arzyana; Guntoro, Joko
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.99

Abstract

The conservation of freshwater turtles relies on local knowledge and perceptions. This phenomenon is especially significant for communities located near turtle habitats. This study aims to investigate the influence of local communities' knowledge and perceptions of freshwater turtles on their attitudes, behaviors, and the resulting conservation outcomes for these species. Knowledge encompasses the empirical understanding of turtle species, their ecological roles, and conservation statuses. Perceptions encompass the subjective beliefs, attitudes, and values influenced by culture that communities hold regarding these species. The research was carried out in three river systems of southern Sumatra, involving interviews with 133 participants through a semi-structured approach that included closed and semi-open questionnaires, alongside a recollection method utilizing photographs as a tool. Identification was successful for only 8 of the 12 depicted turtle species, and merely one-third of the freshwater turtle eggs were identifiable. The most widely recognized species include the ambiona box turtle (Cuora amboinensis), Malaysian giant turtle (Orlitia borneensis), soft-shelled turtle (Amyda cartilaginea), and black marsh turtle (Siebenrockiella crassicollis). While most perceptions indicated a favorable attitude towards freshwater turtle conservation, negative behaviors persist that may adversely affect turtle populations.
Species Diversity of Trees with Traditional Medicinal Uses: A Core-Buffer Zone Comparison in a Biosphere Reserve Priatna, Dolly; Denny; Monk, Kathryn A; Susilo, Adi; Hartiningtias, Diny
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.145

Abstract

Giam Siak Kecil-Bukit Batu, a UNESCO Biosphere Reserve, uses a zoned management approach, including core, buffer, and transition zones. The core zone prioritizes biodiversity conservation, buffer zones mitigate human impacts, and transition zones focus on sustainable development. The diversity and density of medicinal tree species in the core and buffer zones of this reserve were investigated. It was hypothesized that the core zone would support greater diversity and density of medicinal trees than the buffer zone. Standardized plot sampling was conducted using 1-ha plots, each subdivided into 25 subplots (20 m × 20 m). Trees with a diameter at breast height exceeding 10 cm were inventoried, measured, and identified, with voucher specimens collected for herbarium confirmation. A total of 52 medicinal tree species from 27 families and 36 genera were recorded. Species richness was higher in the buffer zone (39 species) than in the core zone (29 species). These findings underscore the ecological significance of buffer zones in conserving medicinal tree diversity and providing sustainable resources for local communities. The observed species richness in the buffer zone challenges the conventional assumption that core zones harbor higher biodiversity, highlighting the need for further research on sustainable resource management in buffer zones.
How do Tourists Perceive Risk and Develop Travel Preparedness? Influence of Destination Attributes and Knowledge Rahmafitria, Fitri; Setiyorini, Heri Puspito Diyah; Hindayani, Purna; Oktadiana, Hera; Ramadhan, Andrian
Jurnal Manajemen Hutan Tropika Vol. 31 No. 2 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.2.171

Abstract

This study explores how destination attributes, such as accessibility, natural attractions, facilities, and disaster knowledge, influence tourists' risk perceptions, ultimately shaping their travel preparedness. Data were collected through questionnaires distributed to 806 tourists visiting a tsunami-prone beach destination in Indonesia. Partial Least Squares Structural Equation Modeling (PLS-SEM) was implemented in the analysis. The findings indicate that accessibility and well-developed tourist facilities tend to lower tourists’ perceived risk, while disaster knowledge heightens it, leading to improved preparedness. Tourists generally feel safer when destinations offer accessible amenities and infrastructure, yet this sense of security may inadvertently decrease their readiness for disasters. This situation creates a paradox: While enhanced accessibility and high-quality amenities contribute to visitor satisfaction, they can unintentionally lower risk perception and preparedness levels. The study challenges the conventional view that accessibility and amenities are inherently beneficial, highlighting the importance of balancing these attributes with proactive risk management strategies. Destination providers, destination management organizations (DMOs), and governments should enhance tourists’ disaster awareness through well-crafted guidelines, educational campaigns, and community engagement programs; these efforts help equip tourists with the necessary knowledge to respond effectively in emergency situations. At the same time, they contribute to the development of safer and more enjoyable tourist destinations.
Total Ecosystem Carbon Stock (TECS) in Various Tropical Forest Ecosystems of South Sorong Regency, Southwest Papua Province, Indonesia Lense, Obed Nedjo; Wanma, Jimmy Frans; Kesaulija, Kesaulija Frenshegty; Simbiak, Fiktor; Mansyur, Fadhilah Iqra; Rachim, Armansyah K; Wanma, Beatrix; Kesaulija, Reynold; Simanjorang, Dionysius; Lense, Jane Elisabeth
Jurnal Manajemen Hutan Tropika Vol. 31 No. 3 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.3.215

Abstract

The significant uncertainty concerning the role of South Sorong’s tropical forests ecosystem in the global carbon cycle is the lack of adequate data on the total carbon content of all their components. This study aimed to fill this data gap by total carbon stock in six South Sorong, Southwest Papua, and Indonesia forest ecosystems. The above-below-ground (root) carbon stock was calculated using several published allometric equations. The walkey and black and loss-on-ignition method analysed soil carbon stocks. Aboveground live c-stock ranged from 51.9 to 105.5 Mg C ha-1 and soil c-stock from 52.91 to 1,124.3 Mg C ha-1, representing the two most significant C components in all plots. The C in litter (10.5 to 49.9 Mg C ha-1), dead and downed wood (0.2 to 2.9 Mg C ha-1) and roots (9.2 to 58.2 Mg C ha-1) accounted for less than 5.3% of the total C. The total ecosystem carbon stock ranged from 213.0 to 1,217.4 Mg C ha-1. More C was found in the peat swamp forest in six forest ecosystems, where deeper soil (organic sediment) was the main support factor. Both DLFE and PSFE are unique ecosystems that need to be considered in their management so that we can benefit from those present in local, regional, and global communities.
Community Support for Forest Conservation Policies in the Komodo Subdistrict Suryawan, I Wayan Koko; Sianipar, Imelda Masni Juniaty; Lee, Chun-Hung
Jurnal Manajemen Hutan Tropika Vol. 31 No. 3 (2025)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.31.3.185

Abstract

This study delves into the critical determinants that influence community support for forest conservation policies within the Komodo District, utilizing a logistic regression analysis to dissect the impact of various socioeconomic and demographic factors on local residents' attitudes toward conservation. A detailed questionnaire was administered to 520 residents to capture perceptions of conservation measures, infrastructure development, and community involvement. Binary logistic regression revealed that the visibility of conservation efforts, including natural landscape protection and eco-friendly infrastructure, significantly influences public support for policies. There was a strong positive correlation between the visibility of conservation actions and community support. This includes visible protection of natural landscapes and eco-friendly infrastructure, which has significantly bolstered public approval. Adaptive business operations and local training initiatives were positively correlated with support for conservation policies, suggesting that economically beneficial conservation strategies are more likely to win public favor. Lower income levels were unexpectedly associated with more significant support for conservation policies, which could indicate a reliance on the benefits derived from conservation efforts. Conversely, younger demographic groups and island residents displayed a lower propensity to support existing policies. By aligning conservation efforts with the community's economic and social priorities, policymakers can ensure broader support and sustainable engagement.

Page 53 of 54 | Total Record : 537

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