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INDONESIA
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 5 Documents
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Search results for , issue "Vol. 2 No. 3 (2025)" : 5 Documents clear
THE ROLE OF CERTIFICATION IN PROMOTING SUSTAINABLE FOREST MANAGEMENT Iqbal, Kiran; Malik, Fatima; Shah, Ahmed
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.v2i3.2035

Abstract

The increasing global demand for timber and forest products has raised concerns about unsustainable forest practices, resulting in deforestation, biodiversity loss, and ecosystem degradation. Certification programs, such as FSC (Forest Stewardship Council) and PEFC (Programme for the Endorsement of Forest Certification), have emerged as tools to promote sustainable forest management (SFM). These certifications aim to ensure that forests are managed in an environmentally responsible, socially beneficial, and economically viable manner. However, the effectiveness of certification in achieving these goals remains a topic of ongoing debate. This research aims to evaluate the role of forest certification programs in promoting sustainable forest management. Specifically, it investigates the impact of certification on forest practices, local communities, and the broader forest industry. A mixed-methods approach was adopted, combining qualitative interviews with forest managers, certification bodies, and local stakeholders, alongside quantitative analysis of forest management data in certified versus non-certified forests. Data were collected from various regions, including Southeast Asia, North America, and Europe. The findings reveal that certification programs positively influence forest management practices, leading to improved biodiversity conservation, better forest regeneration, and increased stakeholder engagement. However, challenges such as high certification costs, lack of awareness, and insufficient enforcement were identified as barriers to achieving full potential. Certification programs play a significant role in promoting sustainable forest management, though further efforts are needed to address barriers and enhance the inclusivity and effectiveness of these programs.
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.
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.
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.
CARBON TRADING AND MANGROVE FORESTS: MEASURING THE ECONOMIC VALUE OF “BLUE CARBON” AS A NEW ASSET IN LOW CARBON DEVELOPMENT POLICY Demir, Ahmet; Toprak, Zeynep; Kaya, Cemil
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.v2i3.2739

Abstract

The global imperative for low-carbon development necessitates the formal integration of Nature-based Solutions. Mangrove forests, known for their superior carbon sequestration as “Blue Carbon,” offer a crucial asset, yet their economic potential remains severely constrained by valuation and policy standardization issues. This study aimed to develop a standardized Total Economic Valuation (TEV) framework for Indonesian Blue Carbon and analyze the regulatory requirements for its formal inclusion in the national carbon trading policy. A mixed-methods design utilized biophysical data from two major mangrove regions, employing financial modeling (Discounted Cash Flow and Monte Carlo simulations) to calculate TEV, and policy analysis to assess governance readiness. The TEV averaged USD 21,500 ha, nearly three times the carbon-only value, demonstrating the asset’s premium quality and superior financial stability (45% lower IRR volatility). However, a significant governance bottleneck was identified (Policy Alignment Index 65%), primarily due to a centralized Monitoring, Reporting, and Verification (MRV) system and uncertain community benefit sharing, which actively inhibits market entry. Blue Carbon is validated as a high-integrity, de-risked asset, but its realization depends critically on policy intervention, urging the immediate adoption of the TEV framework and the decentralization of MRV to ensure social equity and accelerate climate finance.

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