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Journal of Degraded and Mining Lands Management
Published by Universitas Brawijaya
ISSN : 2339076X     EISSN : 25022458     DOI : -
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology
Journal of Degraded and Mining Lands Management is managed by the International Research Centre for the Management of Degraded and Mining Lands (IRC-MEDMIND), research collaboration between Brawijaya University, Mataram University, Massey University, and Institute of Geochemistry, Chinese Academy of Sciences-China Papers dealing with result of original research, and critical reviews on aspects directed to the management of degraded and mining lands covering topography of a landscape, soil and water quality, biogeochemistry, ecosystem structure and function, and environmental, economic, social and health impacts are welcome with no page charge
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Articles 47 Documents
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Search results for , issue "Vol. 13 No. 1 (2026)" : 47 Documents clear
After mining catastrophe: the language of economic survival of the Sipalay mine people at Sipalay, Negros Occidental, Philippines Barrientos, Rubie Lyn C.; Pilar, John Gerald A.
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9239

Abstract

The mining industry has intimate ties to the environment, economy, and society. Its life cycle impacts communities in both positive and negative ways, affecting the community. This research investigated the experiences of miners from the Sipalay Mine, which was owned by Maricalum Mining Corporation, formerly Marinduque Mining Industrial Corporation. Using a qualitative approach and ethical research standards, ten purposively selected informants shared their stories. The informants demonstrated resilience by adjusting to challenging situations, striving for a better life, implementing mitigation strategies, and finding contentment in their current circumstances. Following the closure of the mine, former miners faced unemployment and limited resources, but they positively turned to self-determination, exploiting their resource management and entrepreneurial talents. This study proposed the ENCOMTRACOM (Engagement Community, Transitioning Community) collaborative model to ensure sustainable development. This model promotes community involvement, fosters economic growth through livelihood projects, encourages stakeholder collaboration, and facilitates effective communication. Moreover, three layers of scaffolding frameworks: (1) the challenges miners faced post-closure, including unemployment and resource scarcity; (2) the miners’ strengths in resource management, entrepreneurship, and training; and (3) their ability to build resilience through community support, safer livelihoods, and skill development. Overall, the Sipalay miners have demonstrated their adaptability by striving for improvement, reducing risks, and finding fulfillment. This research advocates for the development of future programs on community assistance, entrepreneurship training, and collaboration among universities, local government, and NGOs. While this study may be limited for researchers, this research provides valuable insights for future initiatives on sustainable recovery in post-mining communities.
Land cover and socio-economic dynamics of coffee to oil palm land conversion in Way Kanan, Indonesia Hernanda, Tiara Aprilia Putri; Fauzi, Akhmad; Barus, Baba; Arifin, Bustanul
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9271

Abstract

The expansion of oil palm in Indonesia increasingly occurs at the expense of traditional perennial crops such as coffee, reshaping land systems and livelihoods. This study analyzed coffee to oil palm conversion in Way Kanan Regency, Lampung Province, from 2018 to 2024 through GIS-based classification, satellite imagery, and field validation. Results revealed a sharp decline in forest cover of around 63% during those periods and the dominance of agricultural lands (197,000 ha), driven primarily by oil palm expansion. Results showed that in Kasui, coffee agroforestry followed a boom and bust trajectory with a 59% increase, but was later displaced by oil palm, which surged by 52%. Results indicated that in Rebang Tangkas, coffee maintained a modest presence with a 36% increase, while oil palm expanded aggressively by 329%, underscoring its dominant role in reshaping land use dynamics. Conversion patterns were amplified by topography and accessibility, with oil palm concentrated in lowlands and coffee surviving in uplands. Institutional frameworks and economic incentives reinforced oil palm dominance, while rising coffee prices have triggered localized reconversion. These findings highlight a dual transition: oil palm consolidation in accessible lowlands and the persistence of coffee agroforestry in upland niches. The study underscores the urgency of place-based governance to reconcile economic drivers with ecological sustainability and rural livelihood resilience.
Spatial modeling of soil erosion in the Teesta River Basin in Bangladesh using RUSLE and remote sensing data in Google Earth Engine Butar Butar, Erni Saurmalinda; Thepvongsa, Jedtavong
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9473

Abstract

Soil erosion posed a significant environmental challenge in river basin environments, threatening agricultural productivity, compromising water quality, and eroding ecosystem integrity. The Teesta River Basin, an ecologically sensitive and economically important region, is increasingly affected by erosion driven by natural and anthropogenic factors. This study employed the Revised Universal Soil Loss Equation (RUSLE) alongside Google Earth Engine (GEE) and Geographic Information System (GIS) tools to evaluate the spatial distribution of soil erosion. The model incorporates rainfall erosivity (R), soil erodibility (K), slope length and steepness (LS), cover management (C), and support practices (P), processed with high-resolution remote sensing datasets. Results indicate strong spatial variability, with average soil loss estimated at 11.25 t/ha/yr. About 44% of the basin experiences very low erosion, 21% low, 6% moderate, 10% severe, and 7% very severe erosion. Agricultural land, the dominant cover type (391,796.9 ha), shows the highest average soil loss (112 t/ha/yr), largely due to continuous tillage, residue removal, and unsustainable practices. Nearly 59% of cropland faces high erosion risk compared to other land covers. Prioritization of erosion-prone areas reveals that 7% of the basin falls into high priority (very severe), 10% medium priority (severe), and over 70% low priority (low and very low). These findings offer crucial guidance for implementing targeted soil conservation measures and informing sustainable land use planning. The study highlights the effectiveness of integrating RUSLE with GEE for large-scale erosion assessment and watershed management.
Predictive model for California Bearing Ratio (CBR) in expansive coastal subgrades: a rapid geotechnical assessment for degraded and marginal lowland areas Nugroho, Soewignjo Agus; Satibi, Syawal; Putra, Agus Ika; Zulkifli, Zulkifli; Sutikno, Sigit; Yusa, Muhamad; Rinaldi, Rinaldi; Yamamoto, Koichi
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9329

Abstract

In geotechnical engineering, professional actions and expert judgment are often essential in soil investigation methods. In lowland and coastal areas, expansive, fine-grained soils and sandy sedimentation lead to reduced bearing capacity, posing significant challenges for sustainable infrastructure development on marginal and degraded lands. Such conditions are prevalent in post-mining or naturally poor coastal environments, necessitating cost-effective and rapid assessment tools. This study modeled a clayey sand mixture using bentonite and kaolin as fine fractions, which exhibit expansive behavior and poor gradation, simulating worst-case geotechnically degraded subgrades. The mechanical behavior of the soil was evaluated through modified compaction, using the CBR test and CPT test as bearing capacity parameters. Soil mixtures were simulated with sand fractions ?65% and bentonite-kaolin compositions with ?50% bentonite. Compaction was modeled using variations in energy compaction and water content under conditions below the maximum dry density. CBR prediction was conducted using Qc as the primary predictor and dry density as a supporting predictor. A hybrid stepwise regression analysis in the         Z-score scale identified positively correlated predictors: +3.00 (Qc), +0.55 (?dry), and +1.28 (Qc ?dry interaction). The regression model showed strong statistical performance with R² = 0.84 and high significance with the lowest p-values. The resulting regression equation offers an applicable approach to rapidly evaluate the bearing capacity of subgrade soils in degraded coastal or marginal conditions, thereby facilitating geotechnical engineering design and initial site assessment crucial for land management and rehabilitation actions.
Rehabilitation of disturbed land in bauxite mining: Challenges and prospects in Sanggau, West Kalimantan, Indonesia Wanda, Wanda; Akbar, Aji Ali; Putri, Erisa Ayu Waspadi; Suhartoyo, Aji
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9259

Abstract

Bauxite is the primary raw material for aluminum production, and its mining activities are widespread, including in Indonesia. However, land cover changes caused by bauxite mining can significantly disrupt ecosystem balance. This study aimed to analyze land cover change rehabilitation strategies in response to bauxite mining in Sanggau Regency, Indonesia. Using Geographic Information Systems (GIS) with an overlay technique, land cover data from 2009, 2015, 2022, and 2024, along with soil quality data, were examined. The findings indicate that between 2009 and 2024, approximately 4,363.52 hectares of land were converted into mining areas, including swamp shrubland (308.67 ha), secondary swamp forest (289.28 ha), plantations (74.01 ha), primary dryland forest (3,318.92 ha), and open land (190.99 ha). Recommended rehabilitation strategies include the application of red mud waste mixed with cattle manure as fertilizer, as well as the use of cocopeat as a topsoil substitute to enhance soil quality.
From resources to reserves: a real option approach to quarry mining in the Aimasi River, West Papua Setiawan, Arif; Hutapea, Ricardo O. M.
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9343

Abstract

The Aimasi River in West Papua contains substantial sand and gravel deposits with potential for quarry development. While previous assessments emphasized geological aspects, their economic feasibility has not been systematically examined. This study applied Net Present Value (NPV) and Real Options Analysis (ROA) to evaluate the viability of investments and their implications for converting resources into reserves. The NPV of the proposed project is USD 5,915.56, which is considerably lower than the option value of deferring the investment for one year (USD 116,197.59). Extending the decision horizon from one to three years raises the option value from USD 61,650.15 to USD 116,197.59. Several nodes yield positive payoffs, supporting immediate investment (classified as proved reserves) or deferral (classified as probable reserves), while nodes with zero payoffs are more appropriately classified as resources. These findings demonstrate the value of ROA in bridging geological potential and economic feasibility, thereby strengthening the framework for resource-to-reserve conversion in small-scale quarry mining.
GIS-based landslide susceptibility mapping in IV Koto, Matur, and Tanjung Raya Subdistricts of Agam Regency, West Sumatra Maiyudi, Riko; Octova, Adree; Anaperta, Yoszi Mingsi; Gusman, Mulya; Yulhendra, Dedi; Naldo, Exwil; Baron, Adhitya
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9319

Abstract

Landslides are a recurrent hazard in West Sumatra, driven by steep slopes, high rainfall, and expanding human activity on unstable terrain. This study assesses landslide susceptibility in IV Koto, Matur, and Tanjung Raya Subdistricts of Agam Regency, West Sumatra using a Geographic Information System (GIS) framework. Slope gradients were derived from DEMNAS (Digital Elevation Model Nasional), land use data were reclassified based on expected stability effects, and rainfall statistics were discretized into intensity classes. These standardized layers were integrated through a weighted overlay to produce a susceptibility surface, subsequently partitioned into two classes: vulnerable and very vulnerable. The results highlight elongated belts of very vulnerable terrain where steep slopes coincide with high rainfall and disturbed land covers such as settlements, open fields, and mining areas. Cross-sectional profiles with gradients of   40.9-56% confirmed the geomorphic plausibility of the mapping. The outputs provide actionable guidance for spatial planning, disaster preparedness, and conservation, while offering a transparent baseline for more advanced susceptibility models as data availability improves.
Examining the several vegetation indices values to estimate carbon stock at the mining reclamation area of PT. Adaro Indonesia, South Kalimantan Rachmanadi, Dony; Nugraha, Luthfan Meilana; Choiron, Dodik; Riadhah, Mekka; Husin, Rusdi; Triwibowo, Didik; Ajiddinnor, Ajiddinnor
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9427

Abstract

Revegetation of coal mine reclamation areas contributes to environmental improvement by sequestering carbon through vegetation. This study aimed to estimate carbon stocks in reclaimed and post-mining areas of PT Adaro Indonesia using various vegetation indices to assess the areas' contribution to carbon sequestration and identify the most effective estimation method. Six vegetation indices—NDVI, RVI, SAVI, GNDVI, RDVI, and IPVI—were derived from drone-based multispectral imagery and combined with field sampling for enhanced accuracy. Carbon stock was calculated based on biomass, which correlates with tree size and other observable carbon pools. The results showed that, although the Tutupan site had lower vegetation diversity, it stored more carbon than the Paringin site. Among the indices tested, NDVI produced the most robust estimation model, demonstrating a high correlation and low standard error, indicating its strong predictive model for assessing carbon stocks in reclaimed mining lands.
Assessment of the soil chemical properties on the intensive coffee plantations in the Central Highlands, Vietnam Ky, Nguyen Vu; Trung, Ta Hoang; Anh, Pham Lan; Long, Hoang Hai; Truc, Dinh Thi Nha; Anh, Nguyen Huy
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9415

Abstract

The soil chemical properties in coffee-growing areas were important factors determining the growth, productivity, quality, and coffee flavour of Vietnam’s coffee. This study evaluated the soil chemical characteristics of intensive coffee lands in the four major coffee-producing provinces of the Central Highlands. A total of 1,095 soil samples were collected over a two-year period (from 2022 to 2023) within the coffee canopy to a depth of 30 cm for Robusta coffee. Chemical properties analyses were conducted at the Central Laboratory of the Western Highlands of Agriculture and Forestry Science Institute (WASI), focusing on five parameters: soil pH, organic matter, total nitrogen, available phosphorus, and available potassium. Results indicated that the coffee cultivation soils exhibited a high acidic pH value, with an average pH of 4.06. Organic matter content was generally high (4.25-5.40%), and total nitrogen fluctuated around the threshold of 0.19%. Available phosphorus was the most imbalanced nutrient, with excessive accumulation in Gia Lai, Dak Lak, and Lam Dong, while available potassium exhibited greater variability. Long-term monitoring (1994-2023) revealed a trend of gradual acidification over time under intensive coffee cultivation conditions. There was a significant accumulation of macronutrients, including total nitrogen, available phosphorus, and potassium, which raised signal inefficiencies in fertilizer management and increased risks of soil degradation and environmental pollution.
Spatial assessment of erosion and landslide hazards as indicators of land degradation in Solok Regency, West Sumatra Dasrizal, Dasrizal; Juita, Erna; Wilis, Ratna; Febriandi, Febriandi; Febriani, Trina
Journal of Degraded and Mining Lands Management Vol. 13 No. 1 (2026)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2026.131.9443

Abstract

This study conducted an integrated spatial assessment to identify and map erosion and landslide threats, determining high-risk degraded areas in Solok Regency. The methods combined the Universal Soil Loss Equation (USLE) and the Analytic Hierarchy Process (AHP) within a Geographic Information System (GIS) framework. The analysis revealed a critical disconnect between erosion and landslide risks. Although 52.1% of the total area (?101,500 ha) was classified as safe from erosion (EHI<1), a substantial portion of this “safe” land-39.4% and 6.94% of the total area, respectively, exhibited moderate to high landslide susceptibility. Conversely, within the 37.1% of the area unsafe from erosion (EHI>1), moderate and high landslide susceptibility covered 24.3% and 7.4% of the total area, respectively. These results demonstrated that landslide triggers are independent of surface erosion processes in many areas, often occurring in locations considered "safe" from erosion due to innate geological and geomorphological factors. This complex interplay necessitates distinct yet coordinated mitigation strategies. The findings provide crucial spatial data for safe land use planning and disaster mitigation in Solok Regency, with a methodology applicable to other vulnerable landscapes, such as post-mining areas.

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