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Journal of Selvicoltura Asean
Published by Yayasan Adra Karima Hubbi
ISSN : 30481171     EISSN : 30481198     DOI : 10.70177/selvicoltura
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Journal of Selvicoltura Asean is an international, peer-reviewed, open-access journal that publishes scientific articles primarily but not limited to the area of Forestry Specialist. Journal of Selvicoltura Asean focuses on all dimensions of forest management, including but not limited to planning, conservation, sylviculture, socioeconomics, and the utilization of forest resources, with a focus in particular on the tropical forests of Asia. We are also eager to include contributions from other geographical scopes as long as they can convincingly demonstrate a critical significance to the concerns that are plaguing Asias forested landscape.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Kehutanan
Articles 60 Documents
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CLIMATE CHANGE AND FOREST ECOSYSTEMS: IMPACTS AND ADAPTATION STRATEGIES Seojin, Choi; Minho, Kim; Jiwon, Lee
Journal of Selvicoltura Asean Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i2.2036

Abstract

Climate change is one of the most critical challenges facing global ecosystems, with forest ecosystems being particularly vulnerable to its impacts. The alteration of climate patterns, such as increased temperatures, altered precipitation patterns, and extreme weather events, has led to significant disruptions in forest biodiversity, carbon storage, and ecosystem services. This study investigates the effects of climate change on forest ecosystems and explores potential adaptation strategies to mitigate these impacts. The primary objective of this research is to assess the impacts of climate change on forest ecosystems and identify viable adaptation measures to ensure ecosystem resilience. This research employs a combination of qualitative and quantitative methods, including field observations, data analysis from climate models, and review of existing literature on forest ecology and climate adaptation strategies. The findings indicate that climate change has led to shifts in species distribution, changes in forest composition, and increased susceptibility to pests and diseases. Additionally, forest degradation and loss of biodiversity have been observed in several regions. Adaptation strategies, such as assisted migration, improved forest management practices, and conservation efforts, have shown potential to enhance the resilience of forest ecosystems. In conclusion, while climate change poses significant threats to forest ecosystems, proactive adaptation strategies can mitigate some of the adverse effects. It is essential to integrate climate change considerations into forest management policies to promote long-term ecosystem sustainability.    
THE ROLE OF FORESTS IN WATER CYCLE REGULATION AND FLOOD CONTROL Anh, Nguyen Tuan; Peng, Nam; Nam, Le Hoang
Journal of Selvicoltura Asean Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i3.2037

Abstract

Forests play a crucial role in regulating the water cycle and controlling flood risks, serving as natural buffers against extreme weather events. The ability of forests to influence local hydrological cycles through processes like transpiration, infiltration, and water retention is essential for maintaining ecosystem balance and human livelihoods. However, deforestation and land-use changes are significantly altering these processes, leading to increased flood risks and water scarcity in many regions. This study aims to explore the role of forests in water cycle regulation and their effectiveness in flood control, with a focus on identifying the mechanisms through which forests influence hydrological processes. The research also seeks to evaluate the impact of forest degradation on flood intensity and water resource availability. A mixed-methods approach was employed, combining remote sensing data, hydrological modeling, and field observations. Data were collected from three forested regions with varying degrees of human activity. Water flow rates, soil moisture levels, and vegetation cover were monitored across these sites to assess the hydrological impact of forest ecosystems on local water systems. The findings indicate that intact forests significantly reduce flood risks by enhancing water infiltration and promoting soil retention. Deforestation and land degradation led to higher surface runoff, reduced groundwater recharge, and increased flood occurrence. Forests with greater biodiversity showed more resilience in maintaining these functions. The study concludes that forests are vital to water cycle regulation and flood mitigation. Conservation and restoration of forest ecosystems are essential for maintaining hydrological stability and reducing the adverse impacts of floods.
FOREST CARBON SEQUESTRATION AND CLIMATE CHANGE MITIGATION Ri, Jong Soo; Hun, Ri Myong; Hwa, Pak Yong
Journal of Selvicoltura Asean Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i1.2038

Abstract

Forest ecosystems play a critical role in mitigating climate change through carbon sequestration. Forests act as carbon sinks, absorbing large amounts of carbon dioxide (CO2) from the atmosphere and storing it in their biomass and soils. However, deforestation and forest degradation have significantly reduced the carbon storage capacity of forests, contributing to global warming. Given the urgency of climate change, understanding the potential of forest carbon sequestration is vital for informing climate mitigation strategies and policy. The purpose of this study is to evaluate the role of forests in carbon sequestration and their potential contribution to climate change mitigation. Specifically, the research aims to quantify carbon storage in different forest ecosystems and assess the effectiveness of forest conservation and reforestation efforts in enhancing carbon sequestration. A mixed-methods approach was employed, combining remote sensing data, field measurements, and carbon modeling techniques. Carbon stock estimates were obtained for tropical, temperate, and boreal forests across several regions. A comparison was made between intact forests, degraded forests, and reforestation sites. Data on tree biomass, soil carbon content, and forest management practices were collected over a two-year period. The results show that forests with higher biomass density and soil carbon content have significantly higher carbon sequestration rates. Tropical forests exhibited the highest carbon storage potential, followed by boreal forests. Reforestation efforts were found to enhance carbon sequestration, but the rate of carbon storage in reforested areas was slower compared to intact forests. This study highlights the critical role of forests in carbon sequestration and the importance of forest conservation and restoration for climate change mitigation. The findings support the need for global policies that prioritize forest preservation and reforestation as key strategies for reducing atmospheric CO2 levels.
THE ROLE OF INDIGENOUS KNOWLEDGE IN SUSTAINABLE FOREST MANAGEMENT Aung, Hnin Thiri; Hlaing, Nandar; Lin, Tun
Journal of Selvicoltura Asean Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i3.2039

Abstract

Indigenous knowledge has long been a cornerstone in the management of natural resources, particularly in the sustainable use and conservation of forests. With increasing pressure on forests due to climate change and human activities, there is a growing interest in integrating indigenous practices with modern forest management strategies. Despite its significance, the role of indigenous knowledge in promoting sustainable forest management (SFM) remains underexplored in contemporary research. This study aims to explore the contributions of indigenous knowledge to sustainable forest management practices, particularly in the context of biodiversity conservation, forest regeneration, and the resilience of forest ecosystems. The research focuses on identifying how traditional ecological knowledge can complement scientific forest management techniques to foster more effective and culturally appropriate solutions to forest conservation. A qualitative research approach was used, employing semi-structured interviews and focus group discussions with indigenous communities in forested regions. Secondary data from government reports and local conservation organizations were also analyzed. The study was conducted in three distinct forest regions, each with a different indigenous culture and forest management tradition. The study found that indigenous knowledge systems contribute significantly to the maintenance of biodiversity, the prevention of deforestation, and the sustainable harvesting of forest resources. Traditional practices such as rotational farming, sacred groves, and community-based monitoring systems play a crucial role in preserving forest ecosystems and ensuring their long-term health. Indigenous knowledge is an invaluable resource in the effort to achieve sustainable forest management. The integration of traditional ecological practices with modern conservation strategies can enhance the effectiveness of forest management, promoting both ecological sustainability and community well-being.
THE IMPACT OF GLOBALIZATION ON FOREST RESOURCES AND LOCAL COMMUNITIES Mahdavi, Leila; Reza, Ali; Hashemi, Fatemeh
Journal of Selvicoltura Asean Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i2.2040

Abstract

Globalization has increasingly affected forest resources and local communities around the world. The growing demand for natural resources driven by global markets has led to both positive and negative consequences for forests and the people dependent on them. Forest ecosystems, crucial for biodiversity and climate regulation, are often threatened by logging, land conversion, and unsustainable practices associated with globalization. The interaction between economic development, environmental degradation, and local community livelihoods has become a critical area of study in sustainable development and environmental conservation. This study aims to examine the impact of globalization on forest resources and local communities, with a focus on both the challenges and opportunities arising from global economic integration. It seeks to understand how globalization influences forest degradation, conservation efforts, and the socio-economic conditions of indigenous and rural populations. The research employs a mixed-methods approach, combining qualitative case studies from various regions with quantitative analysis of forest resource depletion trends. Data were gathered from interviews with local communities, government reports, and forest resource databases. Statistical tools were used to analyze the correlation between globalization indicators (e.g., trade volumes, foreign investments) and deforestation rates. The study finds that while globalization has led to economic growth in some areas, it has also accelerated deforestation and degraded local ecosystems. Communities dependent on forests for livelihood have experienced both disruption of traditional practices and exposure to new economic opportunities. However, the benefits of globalization have been uneven, with wealthier communities often benefiting more than the most vulnerable. Globalization presents a complex challenge for forest resources and local communities. Sustainable solutions require a balance between economic development and environmental conservation, with inclusive policies that protect the interests of indigenous and rural populations.
“HUTAN ADAT” (INDIGENOUS FORESTS) AS A MODEL FOR SUSTAINABLE FOREST GOVERNANCE: A CASE STUDY OF THE DAYAK COMMUNITY IN BORNEO Wijaya, Wijaya; Suzuki, Sakura; Sato, Haruka
Journal of Selvicoltura Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i5.2481

Abstract

Escalating deforestation and the shortcomings of conventional, state-centric forest management paradigms necessitate the exploration of alternative governance models. Hutan Adat (Indigenous Forests), managed through customary laws, represent a long-standing yet frequently overlooked approach to ecological stewardship. This research aims to analyze the principles and practices of Hutan Adat management by the Dayak community in Borneo, evaluating its effectiveness and potential as a replicable model for sustainable forest governance. Employing a qualitative case study approach, this study utilizes ethnographic observation, in-depth interviews with community elders, and participatory mapping. The findings reveal a sophisticated governance system rooted in local wisdom, spiritual values, and collectively enforced customary laws (hukum adat). This system effectively regulates resource extraction, conserves biodiversity, and ensures equitable benefit sharing, resulting in lower deforestation rates and greater ecological integrity compared to adjacent state-managed areas. The study concludes that the Dayak Hutan Adat is a robust and effective model of sustainable forest governance. Its formal recognition and integration into national policy frameworks are crucial for achieving conservation goals while upholding indigenous rights and promoting social justice.
AN ETHNOFORESTRY STUDY OF THE BADUY COMMUNITY'S INDIGENOUS KNOWLEDGE IN FOREST CONSERVATION AND WATER RESOURCE MANAGEMENT Bakti, Iriana; Karimi, Reza; Rahimi, Ramin
Journal of Selvicoltura Asean Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i4.2482

Abstract

The escalating global environmental crisis highlights the need for effective conservation models, a gap addressed by analyzing indigenous knowledge systems. This study’s objective was to investigate and analyze the ethnoforestry principles and practices of the Baduy community in Banten, Indonesia, focusing on their contribution to the sustainable conservation of forests and water resources. Employing a qualitative ethnographic approach, data were gathered in Kanekes village through in-depth interviews with customary leaders (Pu'un), participant observation, and documentation of customary laws (pikukuh). The findings reveal a sophisticated ethnoforestry system rooted in the pikukuh customary law, which strictly delineates forest zones into protected (leuweung kolot) and agricultural (huma) areas. This classification governs resource extraction and ensures the preservation of core ecosystem functions. Crucially, water management is intrinsically linked to forest protection, preserving the Ciujung watershed’s quality. The novelty lies in empirically documenting this successful indigenous system. The implication is that the Baduy’s integration of spiritual beliefs with ecological principles offers a proven, replicable model for sustainable development, underscoring the vital importance of incorporating local wisdom into contemporary environmental governance and policy-making.
USING ARTIFICIAL INTELLIGENCE AND LIDAR DATA FOR HIGH-RESOLUTION FOREST INVENTORY AND ABOVE-GROUND BIOMASS ESTIMATION IN A SUMATRAN RAINFOREST Nofirman, Nofirman; Shah, Ahmed; Tariq, Usman
Journal of Selvicoltura Asean Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i4.2483

Abstract

Accurate quantification of forest carbon stocks is critical for global climate change mitigation initiatives like REDD+. Traditional forest inventory methods are often labor-intensive, costly, and limited in scale, particularly in complex tropical ecosystems such as the Sumatran rainforest. The integration of advanced remote sensing technologies and artificial intelligence (AI) offers a transformative potential for overcoming these limitations. This study aimed to develop and validate a high-resolution model for individual tree detection and above-ground biomass (AGB) estimation in a Sumatran rainforest by synergizing airborne LiDAR data with machine learning algorithms. High-density LiDAR data was acquired over a 10,000-hectare study area. Concurrently, extensive field inventory data from 150 plots were collected to serve as ground truth. A deep learning model, specifically a Convolutional Neural Network (CNN), was trained to perform individual tree crown delineation (ITCD) from the LiDAR-derived canopy height model. Tree-level metrics were then used as predictors in a Random Forest algorithm to estimate AGB, which was calibrated against field-measured biomass. The CNN model successfully identified individual trees with an accuracy of 92.4%. The subsequent Random Forest model demonstrated high predictive power for AGB estimation, yielding a strong coefficient of determination ( = 0.89) and a low Root Mean Square Error (RMSE) of 25.8 Mg/ha. The approach generated a high-resolution (1-meter) AGB map, revealing detailed spatial variations in carbon stock across the landscape. The fusion of AI and LiDAR data provides a highly efficient methodology for forest inventory and AGB mapping in dense tropical rainforests. This approach significantly enhances our capacity to monitor carbon dynamics, forest conservation and climate policy.
AI-POWERED PREDICTIVE MODELING OF FOREST FIRE RISK IN RIAU PROVINCE BASED ON CLIMATE, PEATLAND, AND LAND USE DATA Judijanto, Loso; Mariam, Siti; Zainal, Ahmad
Journal of Selvicoltura Asean Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i3.2484

Abstract

Forest and peatland fires in Riau Province, Indonesia, are a recurrent environmental disaster with severe regional and global consequences. Traditional fire danger rating systems often fail to capture the complex interplay of factors driving these events. The advancement of artificial intelligence (AI) offers an opportunity to develop more accurate and dynamic fire risk prediction models. This study aimed to develop and validate a high-performance, AI-powered model for predicting daily forest fire risk at a high spatial resolution across Riau Province by integrating climate, peatland, and land use data. We integrated historical satellite-detected fire hotspots (2015-2023) as the dependent variable. Predictor variables included daily climate data (e.g., temperature, precipitation, wind speed), static peatland characteristics (e.g., depth, type), and dynamic land use/land cover data. An XGBoost (Extreme Gradient Boosting) machine learning algorithm was trained to learn the complex, non-linear relationships between these drivers and fire occurrence. The model’s predictive performance was rigorously evaluated using the Area Under the Curve (AUC) metric. The XGBoost model demonstrated high predictive accuracy, achieving an AUC of 0.93. The analysis revealed that the number of consecutive dry days, peatland depth, and proximity to oil palm plantations were the most influential variables in predicting fire risk. The model successfully generated daily 1-km resolution fire risk maps, identifying specific areas with elevated danger. The AI-powered model provides a robust and significantly more accurate tool for forest fire forecasting in fire-prone tropical peatland landscapes. This approach offers a critical advancement for developing effective early warning systems, enabling targeted resource allocation for fire prevention and mitigation efforts.
FOREST-BASED LIVELIHOODS AND SOCIAL JUSTICE: AN ANALYSIS OF BENEFIT-SHARING MECHANISMS IN INDONESIA'S SOCIAL FORESTRY SCHEMES Judijanto, Loso; Amin, Rafiullah; Akhtar, Shazia
Journal of Selvicoltura Asean Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsa.v2i4.2485

Abstract

Social forestry programs are globally promoted as a key strategy, but their equitable outcomes are critical. Indonesia's ambitious social forestry agenda aims to reallocate millions of hectares, prompting this research to critically analyze benefit-sharing mechanisms across key schemes (Hutan Desa, HKm, Hutan Adat). The objective was to evaluate their effectiveness in promoting social justice and community livelihoods. This study employed a qualitative, multi-site case study approach, utilizing 120 interviews and policy analysis through a social justice framework. The findings reveal a significant gap between policy goals and reality: while land tenure improved, benefits often fail to be equitably distributed, being captured by local elites and marginalizing vulnerable groups. Furthermore, procedural justice remains weak due to limited community participation in decision-making. The novelty lies in this critical, justice-focused evaluation of Indonesia's national program. The implication is that for Indonesia's social forestry to succeed, a fundamental redesign of benefit-sharing mechanisms is required. Policy must explicitly embed distributive, procedural, and recognitional justice principles to ensure meaningful livelihood improvements for the poorest and most marginalized community members.

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